From 4328c47ee1b73dbf380b9641abc2ea2d446e5f85 Mon Sep 17 00:00:00 2001
From: Scipost Editorial Administration <edadmin@scipost.org>
Date: Thu, 9 Jan 2025 12:14:18 +0100
Subject: [PATCH] Include QDarts-1.0
---
.../.DS_Store | Bin 0 -> 6148 bytes
.../CITATION.cff | 19 +
.../LICENCE.md | 19 +
.../Makefile | 17 +
.../README.md | 58 +
.../__init__.py | 0
.../docs/.buildinfo | 4 +
.../docs/.nojekyll | 0
.../qdarts.capacitance_model.html | 136 ++
.../docs/_autosummary/qdarts.experiment.html | 133 ++
.../docs/_autosummary/qdarts.html | 153 +++
.../_autosummary/qdarts.noise_processes.html | 140 ++
.../docs/_autosummary/qdarts.plotting.html | 151 +++
.../docs/_autosummary/qdarts.polytope.html | 133 ++
.../docs/_autosummary/qdarts.simulator.html | 142 ++
.../qdarts.tunneling_simulator.html | 153 +++
.../_autosummary/qdarts.util_functions.html | 155 +++
.../docs/_images/api_csd_grid.png | Bin 0 -> 46721 bytes
.../docs/_images/api_csd_raster.png | Bin 0 -> 13426 bytes
.../docs/_images/api_tunnel_comp.png | Bin 0 -> 47364 bytes
.../docs/_images/api_tunnel_grid.png | Bin 0 -> 70945 bytes
.../docs/_images/api_tunnel_raster.png | Bin 0 -> 34588 bytes
.../qdarts.capacitance_model.rst.txt | 30 +
.../_autosummary/qdarts.experiment.rst.txt | 29 +
.../qdarts.noise_processes.rst.txt | 31 +
.../_autosummary/qdarts.plotting.rst.txt | 35 +
.../_autosummary/qdarts.polytope.rst.txt | 29 +
.../docs/_sources/_autosummary/qdarts.rst.txt | 38 +
.../_autosummary/qdarts.simulator.rst.txt | 32 +
.../qdarts.tunneling_simulator.rst.txt | 39 +
.../qdarts.util_functions.rst.txt | 37 +
.../docs/_sources/api.rst.txt | 94 ++
.../docs/_sources/api_tutorial.rst.txt | 202 +++
.../docs/_sources/index.rst.txt | 23 +
...nce_model.AbstractCapacitanceModel.rst.txt | 27 +
...capacitance_model.CapacitanceModel.rst.txt | 27 +
.../qdarts.experiment.Experiment.rst.txt | 30 +
...ise_processes.AbstractNoiseProcess.rst.txt | 24 +
...ise_processes.Cosine_Mean_Function.rst.txt | 24 +
.../qdarts.noise_processes.OU_process.rst.txt | 25 +
.../qdarts.polytope.Polytope.rst.txt | 25 +
....AbstractCapacitiveDeviceSimulator.rst.txt | 32 +
...imulator.AbstractPolytopeSimulator.rst.txt | 24 +
...imulator.CapacitiveDeviceSimulator.rst.txt | 32 +
...neling_simulator.AbstractSensorSim.rst.txt | 27 +
...ator.ApproximateTunnelingSimulator.rst.txt | 27 +
...ts.tunneling_simulator.LocalSystem.rst.txt | 33 +
...tunneling_simulator.NoisySensorDot.rst.txt | 29 +
...eling_simulator.TunnelBarrierModel.rst.txt | 24 +
.../docs/_sources/simulator.rst.txt | 3 +
.../docs/_static/alabaster.css | 708 ++++++++++
.../docs/_static/api_csd_grid.png | Bin 0 -> 46721 bytes
.../docs/_static/api_csd_raster.png | Bin 0 -> 13426 bytes
.../docs/_static/api_tunnel_comp.png | Bin 0 -> 47364 bytes
.../docs/_static/api_tunnel_grid.png | Bin 0 -> 70945 bytes
.../docs/_static/api_tunnel_raster.png | Bin 0 -> 34588 bytes
.../docs/_static/basic.css | 925 +++++++++++++
.../docs/_static/custom.css | 1 +
.../docs/_static/doctools.js | 156 +++
.../docs/_static/documentation_options.js | 13 +
.../docs/_static/file.png | Bin 0 -> 286 bytes
.../docs/_static/language_data.js | 199 +++
.../docs/_static/minus.png | Bin 0 -> 90 bytes
.../docs/_static/plus.png | Bin 0 -> 90 bytes
.../docs/_static/pygments.css | 83 ++
.../docs/_static/searchtools.js | 619 +++++++++
.../docs/_static/sphinx_highlight.js | 154 +++
.../docs/api.html | 214 +++
.../docs/api_tutorial.html | 275 ++++
.../docs/genindex.html | 531 ++++++++
.../docs/index.html | 127 ++
...itance_model.AbstractCapacitanceModel.html | 319 +++++
...ts.capacitance_model.CapacitanceModel.html | 213 +++
.../qdarts.experiment.Experiment.html | 334 +++++
....noise_processes.AbstractNoiseProcess.html | 175 +++
....noise_processes.Cosine_Mean_Function.html | 179 +++
.../qdarts.noise_processes.OU_process.html | 185 +++
.../interfaces/qdarts.polytope.Polytope.html | 281 ++++
...tor.AbstractCapacitiveDeviceSimulator.html | 334 +++++
...s.simulator.AbstractPolytopeSimulator.html | 194 +++
...s.simulator.CapacitiveDeviceSimulator.html | 224 +++
...tunneling_simulator.AbstractSensorSim.html | 221 +++
...mulator.ApproximateTunnelingSimulator.html | 352 +++++
...darts.tunneling_simulator.LocalSystem.html | 267 ++++
...ts.tunneling_simulator.NoisySensorDot.html | 252 ++++
...unneling_simulator.TunnelBarrierModel.html | 177 +++
.../docs/objects.inv | Bin 0 -> 1543 bytes
.../docs/py-modindex.html | 158 +++
.../docs/search.html | 120 ++
.../docs/searchindex.js | 1 +
.../docs/simulator.html | 109 ++
.../examples/__init__ .py | 0
.../examples/api_tutorial.ipynb | 465 +++++++
.../examples/figures/device.png | Bin 0 -> 205546 bytes
.../examples/figures/fig1.png | Bin 0 -> 68917 bytes
.../examples/figures/fig4.png | Bin 0 -> 114204 bytes
.../examples/figures/fig5.png | Bin 0 -> 75035 bytes
.../examples/figures/fig6.png | Bin 0 -> 91663 bytes
.../examples/figures/fig8.png | Bin 0 -> 128591 bytes
.../examples/figures/fig8_tunnelcouling.png | Bin 0 -> 116445 bytes
.../examples/figures/neyens.png | Bin 0 -> 67037 bytes
.../examples/figures_scipost.ipynb | 1203 +++++++++++++++++
.../examples/insitu_reflectometry_beta.ipynb | 298 ++++
.../pyproject.toml | 29 +
.../sphinx/_static/api_csd_grid.png | Bin 0 -> 46721 bytes
.../sphinx/_static/api_csd_raster.png | Bin 0 -> 13426 bytes
.../sphinx/_static/api_tunnel_comp.png | Bin 0 -> 47364 bytes
.../api_tunnel_comp.png:Zone.Identifier | 3 +
.../sphinx/_static/api_tunnel_grid.png | Bin 0 -> 70945 bytes
.../api_tunnel_grid.png:Zone.Identifier | 3 +
.../sphinx/_static/api_tunnel_raster.png | Bin 0 -> 34588 bytes
.../api_tunnel_raster.png:Zone.Identifier | 3 +
.../sphinx/api.rst | 94 ++
.../sphinx/api_tutorial.rst | 202 +++
.../sphinx/conf.py | 44 +
.../sphinx/index.rst | 23 +
.../src/qdarts/__init__.py | 0
.../src/qdarts/capacitance_model.py | 435 ++++++
.../src/qdarts/experiment.py | 437 ++++++
.../src/qdarts/noise_processes.py | 166 +++
.../src/qdarts/plotting.py | 214 +++
.../src/qdarts/polytope.py | 123 ++
.../src/qdarts/simulator.py | 448 ++++++
.../src/qdarts/tunneling_simulator.py | 844 ++++++++++++
.../src/qdarts/util_functions.py | 472 +++++++
125 files changed, 16051 insertions(+)
create mode 100644 QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/.DS_Store
create mode 100644 QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/CITATION.cff
create mode 100644 QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/LICENCE.md
create mode 100644 QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/Makefile
create mode 100644 QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/README.md
create mode 100644 QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/__init__.py
create mode 100644 QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/docs/.buildinfo
create mode 100644 QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/docs/.nojekyll
create mode 100644 QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/docs/_autosummary/qdarts.capacitance_model.html
create mode 100644 QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/docs/_autosummary/qdarts.experiment.html
create mode 100644 QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/docs/_autosummary/qdarts.html
create mode 100644 QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/docs/_autosummary/qdarts.noise_processes.html
create mode 100644 QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/docs/_autosummary/qdarts.plotting.html
create mode 100644 QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/docs/_autosummary/qdarts.polytope.html
create mode 100644 QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/docs/_autosummary/qdarts.simulator.html
create mode 100644 QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/docs/_autosummary/qdarts.tunneling_simulator.html
create mode 100644 QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/docs/_autosummary/qdarts.util_functions.html
create mode 100644 QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/docs/_images/api_csd_grid.png
create mode 100644 QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/docs/_images/api_csd_raster.png
create mode 100644 QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/docs/_images/api_tunnel_comp.png
create mode 100644 QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/docs/_images/api_tunnel_grid.png
create mode 100644 QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/docs/_images/api_tunnel_raster.png
create mode 100644 QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/docs/_sources/_autosummary/qdarts.capacitance_model.rst.txt
create mode 100644 QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/docs/_sources/_autosummary/qdarts.experiment.rst.txt
create mode 100644 QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/docs/_sources/_autosummary/qdarts.noise_processes.rst.txt
create mode 100644 QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/docs/_sources/_autosummary/qdarts.plotting.rst.txt
create mode 100644 QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/docs/_sources/_autosummary/qdarts.polytope.rst.txt
create mode 100644 QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/docs/_sources/_autosummary/qdarts.rst.txt
create mode 100644 QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/docs/_sources/_autosummary/qdarts.simulator.rst.txt
create mode 100644 QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/docs/_sources/_autosummary/qdarts.tunneling_simulator.rst.txt
create mode 100644 QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/docs/_sources/_autosummary/qdarts.util_functions.rst.txt
create mode 100644 QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/docs/_sources/api.rst.txt
create mode 100644 QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/docs/_sources/api_tutorial.rst.txt
create mode 100644 QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/docs/_sources/index.rst.txt
create mode 100644 QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/docs/_sources/interfaces/qdarts.capacitance_model.AbstractCapacitanceModel.rst.txt
create mode 100644 QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/docs/_sources/interfaces/qdarts.capacitance_model.CapacitanceModel.rst.txt
create mode 100644 QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/docs/_sources/interfaces/qdarts.experiment.Experiment.rst.txt
create mode 100644 QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/docs/_sources/interfaces/qdarts.noise_processes.AbstractNoiseProcess.rst.txt
create mode 100644 QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/docs/_sources/interfaces/qdarts.noise_processes.Cosine_Mean_Function.rst.txt
create mode 100644 QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/docs/_sources/interfaces/qdarts.noise_processes.OU_process.rst.txt
create mode 100644 QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/docs/_sources/interfaces/qdarts.polytope.Polytope.rst.txt
create mode 100644 QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/docs/_sources/interfaces/qdarts.simulator.AbstractCapacitiveDeviceSimulator.rst.txt
create mode 100644 QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/docs/_sources/interfaces/qdarts.simulator.AbstractPolytopeSimulator.rst.txt
create mode 100644 QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/docs/_sources/interfaces/qdarts.simulator.CapacitiveDeviceSimulator.rst.txt
create mode 100644 QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/docs/_sources/interfaces/qdarts.tunneling_simulator.AbstractSensorSim.rst.txt
create mode 100644 QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/docs/_sources/interfaces/qdarts.tunneling_simulator.ApproximateTunnelingSimulator.rst.txt
create mode 100644 QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/docs/_sources/interfaces/qdarts.tunneling_simulator.LocalSystem.rst.txt
create mode 100644 QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/docs/_sources/interfaces/qdarts.tunneling_simulator.NoisySensorDot.rst.txt
create mode 100644 QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/docs/_sources/interfaces/qdarts.tunneling_simulator.TunnelBarrierModel.rst.txt
create mode 100644 QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/docs/_sources/simulator.rst.txt
create mode 100644 QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/docs/_static/alabaster.css
create mode 100644 QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/docs/_static/api_csd_grid.png
create mode 100644 QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/docs/_static/api_csd_raster.png
create mode 100644 QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/docs/_static/api_tunnel_comp.png
create mode 100644 QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/docs/_static/api_tunnel_grid.png
create mode 100644 QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/docs/_static/api_tunnel_raster.png
create mode 100644 QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/docs/_static/basic.css
create mode 100644 QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/docs/_static/custom.css
create mode 100644 QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/docs/_static/doctools.js
create mode 100644 QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/docs/_static/documentation_options.js
create mode 100644 QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/docs/_static/file.png
create mode 100644 QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/docs/_static/language_data.js
create mode 100644 QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/docs/_static/minus.png
create mode 100644 QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/docs/_static/plus.png
create mode 100644 QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/docs/_static/pygments.css
create mode 100644 QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/docs/_static/searchtools.js
create mode 100644 QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/docs/_static/sphinx_highlight.js
create mode 100644 QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/docs/api.html
create mode 100644 QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/docs/api_tutorial.html
create mode 100644 QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/docs/genindex.html
create mode 100644 QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/docs/index.html
create mode 100644 QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/docs/interfaces/qdarts.capacitance_model.AbstractCapacitanceModel.html
create mode 100644 QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/docs/interfaces/qdarts.capacitance_model.CapacitanceModel.html
create mode 100644 QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/docs/interfaces/qdarts.experiment.Experiment.html
create mode 100644 QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/docs/interfaces/qdarts.noise_processes.AbstractNoiseProcess.html
create mode 100644 QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/docs/interfaces/qdarts.noise_processes.Cosine_Mean_Function.html
create mode 100644 QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/docs/interfaces/qdarts.noise_processes.OU_process.html
create mode 100644 QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/docs/interfaces/qdarts.polytope.Polytope.html
create mode 100644 QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/docs/interfaces/qdarts.simulator.AbstractCapacitiveDeviceSimulator.html
create mode 100644 QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/docs/interfaces/qdarts.simulator.AbstractPolytopeSimulator.html
create mode 100644 QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/docs/interfaces/qdarts.simulator.CapacitiveDeviceSimulator.html
create mode 100644 QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/docs/interfaces/qdarts.tunneling_simulator.AbstractSensorSim.html
create mode 100644 QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/docs/interfaces/qdarts.tunneling_simulator.ApproximateTunnelingSimulator.html
create mode 100644 QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/docs/interfaces/qdarts.tunneling_simulator.LocalSystem.html
create mode 100644 QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/docs/interfaces/qdarts.tunneling_simulator.NoisySensorDot.html
create mode 100644 QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/docs/interfaces/qdarts.tunneling_simulator.TunnelBarrierModel.html
create mode 100644 QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/docs/objects.inv
create mode 100644 QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/docs/py-modindex.html
create mode 100644 QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/docs/search.html
create mode 100644 QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/docs/searchindex.js
create mode 100644 QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/docs/simulator.html
create mode 100644 QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/examples/__init__ .py
create mode 100644 QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/examples/api_tutorial.ipynb
create mode 100644 QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/examples/figures/device.png
create mode 100644 QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/examples/figures/fig1.png
create mode 100644 QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/examples/figures/fig4.png
create mode 100644 QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/examples/figures/fig5.png
create mode 100644 QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/examples/figures/fig6.png
create mode 100644 QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/examples/figures/fig8.png
create mode 100644 QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/examples/figures/fig8_tunnelcouling.png
create mode 100644 QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/examples/figures/neyens.png
create mode 100644 QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/examples/figures_scipost.ipynb
create mode 100644 QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/examples/insitu_reflectometry_beta.ipynb
create mode 100644 QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/pyproject.toml
create mode 100644 QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/sphinx/_static/api_csd_grid.png
create mode 100644 QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/sphinx/_static/api_csd_raster.png
create mode 100644 QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/sphinx/_static/api_tunnel_comp.png
create mode 100644 QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/sphinx/_static/api_tunnel_comp.png:Zone.Identifier
create mode 100644 QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/sphinx/_static/api_tunnel_grid.png
create mode 100644 QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/sphinx/_static/api_tunnel_grid.png:Zone.Identifier
create mode 100644 QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/sphinx/_static/api_tunnel_raster.png
create mode 100644 QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/sphinx/_static/api_tunnel_raster.png:Zone.Identifier
create mode 100644 QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/sphinx/api.rst
create mode 100644 QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/sphinx/api_tutorial.rst
create mode 100644 QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/sphinx/conf.py
create mode 100644 QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/sphinx/index.rst
create mode 100644 QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/src/qdarts/__init__.py
create mode 100644 QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/src/qdarts/capacitance_model.py
create mode 100644 QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/src/qdarts/experiment.py
create mode 100644 QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/src/qdarts/noise_processes.py
create mode 100644 QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/src/qdarts/plotting.py
create mode 100644 QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/src/qdarts/polytope.py
create mode 100644 QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/src/qdarts/simulator.py
create mode 100644 QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/src/qdarts/tunneling_simulator.py
create mode 100644 QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/src/qdarts/util_functions.py
diff --git a/QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/.DS_Store b/QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/.DS_Store
new file mode 100644
index 0000000000000000000000000000000000000000..5008ddfcf53c02e82d7eee2e57c38e5672ef89f6
GIT binary patch
literal 6148
zcmeH~Jr2S!425mzP>H1@V-^m;4Wg<&0T*E43hX&L&p$$qDprKhvt+--jT7}7np#A3
zem<@ulZcFPQ@L2!n>{z**<q8>++&mCkOWA81W14cNZ<zv;LbK1Poaz?KmsK2CSc!(
z0ynLxE!0092;Krf2c+FF_Fe*7ECH>lEfg7;MkzE(HCqgga^y>{tEnwC%0;vJ&^%eQ
zLs35+`xjp>T0<F0fCPF1$Cyrb|F7^5{eNG?83~ZUUlGt@xh*qZDeu<Z%US-OSsOPv
j)R!Z4KLME7ReXlK;d!wEw5GODWMKRea10D2@KpjYNUI8I
literal 0
HcmV?d00001
diff --git a/QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/CITATION.cff b/QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/CITATION.cff
new file mode 100644
index 0000000..1c01420
--- /dev/null
+++ b/QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/CITATION.cff
@@ -0,0 +1,19 @@
+cff-version: 0.0.1
+message: "If you use this software, please cite it as below."
+title: "QDarts"
+authors:
+ - family-names: Krzywda
+ given-names: Jan
+ orcid: https://orcid.org/0000-0001-6449-1396
+ - family-names: Liu
+ given-names: Weikun
+ - family-names: van Nieuwenburg
+ given-names: Evert
+ orcid: https://orcid.org/0000-0003-0323-0031
+ - family-names: Krause
+ given-names: Oswin
+ orcid: https://orcid.org/0000-0002-0990-559X
+version: 1.0.1
+date-released: 2024-04-02
+license: MIT License
+repository-code: "https://github.com/condensedAI/QDarts"
diff --git a/QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/LICENCE.md b/QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/LICENCE.md
new file mode 100644
index 0000000..335ea9d
--- /dev/null
+++ b/QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/LICENCE.md
@@ -0,0 +1,19 @@
+Copyright (c) 2018 The Python Packaging Authority
+
+Permission is hereby granted, free of charge, to any person obtaining a copy
+of this software and associated documentation files (the "Software"), to deal
+in the Software without restriction, including without limitation the rights
+to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
+copies of the Software, and to permit persons to whom the Software is
+furnished to do so, subject to the following conditions:
+
+The above copyright notice and this permission notice shall be included in all
+copies or substantial portions of the Software.
+
+THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+SOFTWARE.
\ No newline at end of file
diff --git a/QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/Makefile b/QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/Makefile
new file mode 100644
index 0000000..50d836e
--- /dev/null
+++ b/QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/Makefile
@@ -0,0 +1,17 @@
+# Minimal makefile for Sphinx documentation
+#
+# You can set these variables from the command line, and also
+# from the environment for the first two.
+SPHINXOPTS ?=
+SPHINXBUILD ?= sphinx-build
+SPHINXSOURCEDIR = sphinx
+BUILDDIR = build
+PYTHONBUILD ?= python3 -m build
+
+.PHONY: doc build
+
+doc:
+ @$(SPHINXBUILD) -M html "$(SPHINXSOURCEDIR)" "$(BUILDDIR)" $(SPHINXOPTS)
+ cp -r $(BUILDDIR)/html/* docs/
+build:
+ @$(PYTHONBUILD)
diff --git a/QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/README.md b/QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/README.md
new file mode 100644
index 0000000..da68ddd
--- /dev/null
+++ b/QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/README.md
@@ -0,0 +1,58 @@
+# QDarts
+Efficient **Q**uantum **D**ot **ar**ray **t**ransition **s**imulator.
+
+## Description
+We provide an efficient simulation package, QDarts, generating realistic charge conductance signals from medium, more than 10 quantum dot arrays. By levering the polytope finding algorithm from [O. Krause, A. Chatterjee, F. Kuemmeth and E. van Nieuwenburg, Learning coulomb diamonds in large quantum dot arrays, SciPost Physics 13(4), 084 (2022)](https://scipost.org/SciPostPhys.13.4.084), the QDarts allows for:
+- Transition finding in high-dimensional voltage space,
+- Selection of arbitrary cuts in the voltage space,
+- Simulating effects of finite tunnel couplings,
+- Including non-constant charging energies,
+- Simulation of multiple sensor dot,
+- Tunable noise parameters,
+- User-friendly interface.
+
+## Installation
+The package supports Python 3.6 and later. To install the package, run the following command:
+
+ pip install qdarts
+
+## Manuscript
+The package is based on the manuscript by [Krzywda et al., QDarts: A Quantum Dot Array Transition Simulator for finding charge transitions in the presence of finite tunnel couplings, non-constant charging energies and sensor dots](). The manuscript has been submitted to the SciPost Physics Codebases.
+
+## Examples
+The package provides a simple example to demonstrate the usage of the package. The example is available in the examples qatpack/examples folder. The example demonstrates the simulation of a quantum dot array with sensor dots, tunnel couplings, and non-constant charging energy.
+
+As a proof of principle, in the example we reconstruct the figure from the paper [Neyens et al.](https://journals.aps.org/prapplied/abstract/10.1103/PhysRevApplied.12.064049z), which shows the measured charge conductance signal from two sensor dots, which detect simultanous four-dot transition in the quantum dot array. The figure, visible below, has been computed in about a minute on a standard laptop.
+
+<p align="center">
+ <img src="https://github.com/condensedAI/QDarts/blob/main/examples/figures/neyens.png" />
+<p/>
+
+## Files in this repository
+ qdarts
+ |-- qdarts
+ |-- model.py
+ |-- noise_processes.py
+ |-- experiment.py
+ |-- plotting.py
+ |-- polytope.py
+ |-- simulator.py
+ |-- tunneling_simulator.py
+ |-- util_functions.py
+ |-- examples
+ |-- examples_scipost.ipynb # notebook to reproduce figures from paper
+ |-- README.md
+ |-- LICENCE.md
+ |-- CITATION.cff
+
+
+## Roadmap
+The package is under active development. The future plans include:
+- [ ] Adding barrier gates,
+- [ ] Including realistic noise processes, including 1/f noise,
+- [ ] Adding more examples,
+- [ ] Adding a method for generating capacitance matrices from:
+ - [ ] QD array layout,
+ - [ ] Experimental data,
+ - [ ] Finite element method simulations,
+- [ ] Scaling up to larger quantum dot arrays N>10,
diff --git a/QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/__init__.py b/QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/__init__.py
new file mode 100644
index 0000000..e69de29
diff --git a/QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/docs/.buildinfo b/QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/docs/.buildinfo
new file mode 100644
index 0000000..db07d50
--- /dev/null
+++ b/QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/docs/.buildinfo
@@ -0,0 +1,4 @@
+# Sphinx build info version 1
+# This file hashes the configuration used when building these files. When it is not found, a full rebuild will be done.
+config: ab1c3a24d5e5ee1e1634daa8e070fdb1
+tags: 645f666f9bcd5a90fca523b33c5a78b7
diff --git a/QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/docs/.nojekyll b/QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/docs/.nojekyll
new file mode 100644
index 0000000..e69de29
diff --git a/QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/docs/_autosummary/qdarts.capacitance_model.html b/QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/docs/_autosummary/qdarts.capacitance_model.html
new file mode 100644
index 0000000..97e210d
--- /dev/null
+++ b/QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/docs/_autosummary/qdarts.capacitance_model.html
@@ -0,0 +1,136 @@
+<!DOCTYPE html>
+
+<html lang="en" data-content_root="../">
+ <head>
+ <meta charset="utf-8" />
+ <meta name="viewport" content="width=device-width, initial-scale=1.0" /><meta name="generator" content="Docutils 0.18.1: http://docutils.sourceforge.net/" />
+
+ <title>qdarts.capacitance_model — QDarts documentation</title>
+ <link rel="stylesheet" type="text/css" href="../_static/pygments.css?v=61cd365c" />
+ <link rel="stylesheet" type="text/css" href="../_static/alabaster.css?v=12dfc556" />
+ <script src="../_static/documentation_options.js?v=5929fcd5"></script>
+ <script src="../_static/doctools.js?v=9a2dae69"></script>
+ <script src="../_static/sphinx_highlight.js?v=dc90522c"></script>
+ <link rel="index" title="Index" href="../genindex.html" />
+ <link rel="search" title="Search" href="../search.html" />
+ <link rel="next" title="qdarts.experiment" href="qdarts.experiment.html" />
+ <link rel="prev" title="qdarts" href="qdarts.html" />
+
+ <link rel="stylesheet" href="../_static/custom.css" type="text/css" />
+
+
+
+
+
+ </head><body>
+
+
+ <div class="document">
+ <div class="documentwrapper">
+ <div class="bodywrapper">
+
+
+ <div class="body" role="main">
+
+ <section id="module-qdarts.capacitance_model">
+<span id="qdarts-capacitance-model"></span><h1>qdarts.capacitance_model<a class="headerlink" href="#module-qdarts.capacitance_model" title="Link to this heading">¶</a></h1>
+<p class="rubric">Classes</p>
+<table class="autosummary longtable docutils align-default">
+<tbody>
+<tr class="row-odd"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">BaseCapacitanceModel</span></code>(num_dots, num_inputs, ...)</p></td>
+<td><p>Base Class for all capacitance models.</p></td>
+</tr>
+<tr class="row-even"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">CapacitanceModel</span></code>(C_g, C_D, bounds_limits[, ...])</p></td>
+<td><p>Implementation of a slight generalization of the constant interaction model.</p></td>
+</tr>
+</tbody>
+</table>
+</section>
+
+
+ </div>
+
+ </div>
+ </div>
+ <div class="sphinxsidebar" role="navigation" aria-label="main navigation">
+ <div class="sphinxsidebarwrapper">
+<h1 class="logo"><a href="../index.html">QDarts</a></h1>
+
+
+
+
+
+
+
+
+<h3>Navigation</h3>
+<ul class="current">
+<li class="toctree-l1"><a class="reference internal" href="../simulator.html">Simulator</a></li>
+<li class="toctree-l1 current"><a class="reference internal" href="../api.html">API</a><ul class="current">
+<li class="toctree-l2 current"><a class="reference internal" href="qdarts.html">qdarts</a><ul class="current">
+<li class="toctree-l3 current"><a class="current reference internal" href="#">qdarts.capacitance_model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="qdarts.experiment.html">qdarts.experiment</a></li>
+<li class="toctree-l3"><a class="reference internal" href="qdarts.noise_processes.html">qdarts.noise_processes</a></li>
+<li class="toctree-l3"><a class="reference internal" href="qdarts.plotting.html">qdarts.plotting</a></li>
+<li class="toctree-l3"><a class="reference internal" href="qdarts.polytope.html">qdarts.polytope</a></li>
+<li class="toctree-l3"><a class="reference internal" href="qdarts.simulator.html">qdarts.simulator</a></li>
+<li class="toctree-l3"><a class="reference internal" href="qdarts.tunneling_simulator.html">qdarts.tunneling_simulator</a></li>
+<li class="toctree-l3"><a class="reference internal" href="qdarts.util_functions.html">qdarts.util_functions</a></li>
+</ul>
+</li>
+</ul>
+</li>
+</ul>
+
+<div class="relations">
+<h3>Related Topics</h3>
+<ul>
+ <li><a href="../index.html">Documentation overview</a><ul>
+ <li><a href="../api.html">API</a><ul>
+ <li><a href="qdarts.html">qdarts</a><ul>
+ <li>Previous: <a href="qdarts.html" title="previous chapter">qdarts</a></li>
+ <li>Next: <a href="qdarts.experiment.html" title="next chapter">qdarts.experiment</a></li>
+ </ul></li>
+ </ul></li>
+ </ul></li>
+</ul>
+</div>
+<search id="searchbox" style="display: none" role="search">
+ <h3 id="searchlabel">Quick search</h3>
+ <div class="searchformwrapper">
+ <form class="search" action="../search.html" method="get">
+ <input type="text" name="q" aria-labelledby="searchlabel" autocomplete="off" autocorrect="off" autocapitalize="off" spellcheck="false"/>
+ <input type="submit" value="Go" />
+ </form>
+ </div>
+</search>
+<script>document.getElementById('searchbox').style.display = "block"</script>
+
+
+
+
+
+
+
+
+ </div>
+ </div>
+ <div class="clearer"></div>
+ </div>
+ <div class="footer">
+ ©2024, Oswin Krause, Jan Krzywda, Weikun Liu, Evert van Nieuwenburg.
+
+ |
+ Powered by <a href="https://www.sphinx-doc.org/">Sphinx 7.3.7</a>
+ & <a href="https://alabaster.readthedocs.io">Alabaster 0.7.16</a>
+
+ |
+ <a href="../_sources/_autosummary/qdarts.capacitance_model.rst.txt"
+ rel="nofollow">Page source</a>
+ </div>
+
+
+
+
+ </body>
+</html>
\ No newline at end of file
diff --git a/QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/docs/_autosummary/qdarts.experiment.html b/QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/docs/_autosummary/qdarts.experiment.html
new file mode 100644
index 0000000..e58aef1
--- /dev/null
+++ b/QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/docs/_autosummary/qdarts.experiment.html
@@ -0,0 +1,133 @@
+<!DOCTYPE html>
+
+<html lang="en" data-content_root="../">
+ <head>
+ <meta charset="utf-8" />
+ <meta name="viewport" content="width=device-width, initial-scale=1.0" /><meta name="generator" content="Docutils 0.18.1: http://docutils.sourceforge.net/" />
+
+ <title>qdarts.experiment — QDarts documentation</title>
+ <link rel="stylesheet" type="text/css" href="../_static/pygments.css?v=61cd365c" />
+ <link rel="stylesheet" type="text/css" href="../_static/alabaster.css?v=12dfc556" />
+ <script src="../_static/documentation_options.js?v=5929fcd5"></script>
+ <script src="../_static/doctools.js?v=9a2dae69"></script>
+ <script src="../_static/sphinx_highlight.js?v=dc90522c"></script>
+ <link rel="index" title="Index" href="../genindex.html" />
+ <link rel="search" title="Search" href="../search.html" />
+ <link rel="next" title="qdarts.noise_processes" href="qdarts.noise_processes.html" />
+ <link rel="prev" title="qdarts.capacitance_model" href="qdarts.capacitance_model.html" />
+
+ <link rel="stylesheet" href="../_static/custom.css" type="text/css" />
+
+
+
+
+
+ </head><body>
+
+
+ <div class="document">
+ <div class="documentwrapper">
+ <div class="bodywrapper">
+
+
+ <div class="body" role="main">
+
+ <section id="module-qdarts.experiment">
+<span id="qdarts-experiment"></span><h1>qdarts.experiment<a class="headerlink" href="#module-qdarts.experiment" title="Link to this heading">¶</a></h1>
+<p class="rubric">Classes</p>
+<table class="autosummary longtable docutils align-default">
+<tbody>
+<tr class="row-odd"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">Experiment</span></code>(capacitance_config[, ...])</p></td>
+<td><p>Experiment class that helps setup the different parts of the simulator into an easy to ue interface.</p></td>
+</tr>
+</tbody>
+</table>
+</section>
+
+
+ </div>
+
+ </div>
+ </div>
+ <div class="sphinxsidebar" role="navigation" aria-label="main navigation">
+ <div class="sphinxsidebarwrapper">
+<h1 class="logo"><a href="../index.html">QDarts</a></h1>
+
+
+
+
+
+
+
+
+<h3>Navigation</h3>
+<ul class="current">
+<li class="toctree-l1"><a class="reference internal" href="../simulator.html">Simulator</a></li>
+<li class="toctree-l1 current"><a class="reference internal" href="../api.html">API</a><ul class="current">
+<li class="toctree-l2 current"><a class="reference internal" href="qdarts.html">qdarts</a><ul class="current">
+<li class="toctree-l3"><a class="reference internal" href="qdarts.capacitance_model.html">qdarts.capacitance_model</a></li>
+<li class="toctree-l3 current"><a class="current reference internal" href="#">qdarts.experiment</a></li>
+<li class="toctree-l3"><a class="reference internal" href="qdarts.noise_processes.html">qdarts.noise_processes</a></li>
+<li class="toctree-l3"><a class="reference internal" href="qdarts.plotting.html">qdarts.plotting</a></li>
+<li class="toctree-l3"><a class="reference internal" href="qdarts.polytope.html">qdarts.polytope</a></li>
+<li class="toctree-l3"><a class="reference internal" href="qdarts.simulator.html">qdarts.simulator</a></li>
+<li class="toctree-l3"><a class="reference internal" href="qdarts.tunneling_simulator.html">qdarts.tunneling_simulator</a></li>
+<li class="toctree-l3"><a class="reference internal" href="qdarts.util_functions.html">qdarts.util_functions</a></li>
+</ul>
+</li>
+</ul>
+</li>
+</ul>
+
+<div class="relations">
+<h3>Related Topics</h3>
+<ul>
+ <li><a href="../index.html">Documentation overview</a><ul>
+ <li><a href="../api.html">API</a><ul>
+ <li><a href="qdarts.html">qdarts</a><ul>
+ <li>Previous: <a href="qdarts.capacitance_model.html" title="previous chapter">qdarts.capacitance_model</a></li>
+ <li>Next: <a href="qdarts.noise_processes.html" title="next chapter">qdarts.noise_processes</a></li>
+ </ul></li>
+ </ul></li>
+ </ul></li>
+</ul>
+</div>
+<search id="searchbox" style="display: none" role="search">
+ <h3 id="searchlabel">Quick search</h3>
+ <div class="searchformwrapper">
+ <form class="search" action="../search.html" method="get">
+ <input type="text" name="q" aria-labelledby="searchlabel" autocomplete="off" autocorrect="off" autocapitalize="off" spellcheck="false"/>
+ <input type="submit" value="Go" />
+ </form>
+ </div>
+</search>
+<script>document.getElementById('searchbox').style.display = "block"</script>
+
+
+
+
+
+
+
+
+ </div>
+ </div>
+ <div class="clearer"></div>
+ </div>
+ <div class="footer">
+ ©2024, Oswin Krause, Jan Krzywda, Weikun Liu, Evert van Nieuwenburg.
+
+ |
+ Powered by <a href="https://www.sphinx-doc.org/">Sphinx 7.3.7</a>
+ & <a href="https://alabaster.readthedocs.io">Alabaster 0.7.16</a>
+
+ |
+ <a href="../_sources/_autosummary/qdarts.experiment.rst.txt"
+ rel="nofollow">Page source</a>
+ </div>
+
+
+
+
+ </body>
+</html>
\ No newline at end of file
diff --git a/QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/docs/_autosummary/qdarts.html b/QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/docs/_autosummary/qdarts.html
new file mode 100644
index 0000000..e5ea4f4
--- /dev/null
+++ b/QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/docs/_autosummary/qdarts.html
@@ -0,0 +1,153 @@
+<!DOCTYPE html>
+
+<html lang="en" data-content_root="../">
+ <head>
+ <meta charset="utf-8" />
+ <meta name="viewport" content="width=device-width, initial-scale=1.0" /><meta name="generator" content="Docutils 0.18.1: http://docutils.sourceforge.net/" />
+
+ <title>qdarts — QDarts documentation</title>
+ <link rel="stylesheet" type="text/css" href="../_static/pygments.css?v=61cd365c" />
+ <link rel="stylesheet" type="text/css" href="../_static/alabaster.css?v=12dfc556" />
+ <script src="../_static/documentation_options.js?v=5929fcd5"></script>
+ <script src="../_static/doctools.js?v=9a2dae69"></script>
+ <script src="../_static/sphinx_highlight.js?v=dc90522c"></script>
+ <script async="async" src="https://cdn.jsdelivr.net/npm/mathjax@3/es5/tex-mml-chtml.js"></script>
+ <link rel="index" title="Index" href="../genindex.html" />
+ <link rel="search" title="Search" href="../search.html" />
+ <link rel="next" title="qdarts.capacitance_model" href="qdarts.capacitance_model.html" />
+ <link rel="prev" title="API" href="../api.html" />
+
+ <link rel="stylesheet" href="../_static/custom.css" type="text/css" />
+
+
+
+
+
+ </head><body>
+
+
+ <div class="document">
+ <div class="documentwrapper">
+ <div class="bodywrapper">
+
+
+ <div class="body" role="main">
+
+ <section id="module-qdarts">
+<span id="qdarts"></span><h1>qdarts<a class="headerlink" href="#module-qdarts" title="Link to this heading">¶</a></h1>
+<p class="rubric">Modules</p>
+<table class="autosummary longtable docutils align-default">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="qdarts.capacitance_model.html#module-qdarts.capacitance_model" title="qdarts.capacitance_model"><code class="xref py py-obj docutils literal notranslate"><span class="pre">qdarts.capacitance_model</span></code></a></p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="qdarts.experiment.html#module-qdarts.experiment" title="qdarts.experiment"><code class="xref py py-obj docutils literal notranslate"><span class="pre">qdarts.experiment</span></code></a></p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="qdarts.noise_processes.html#module-qdarts.noise_processes" title="qdarts.noise_processes"><code class="xref py py-obj docutils literal notranslate"><span class="pre">qdarts.noise_processes</span></code></a></p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="qdarts.plotting.html#module-qdarts.plotting" title="qdarts.plotting"><code class="xref py py-obj docutils literal notranslate"><span class="pre">qdarts.plotting</span></code></a></p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="qdarts.polytope.html#module-qdarts.polytope" title="qdarts.polytope"><code class="xref py py-obj docutils literal notranslate"><span class="pre">qdarts.polytope</span></code></a></p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="qdarts.simulator.html#module-qdarts.simulator" title="qdarts.simulator"><code class="xref py py-obj docutils literal notranslate"><span class="pre">qdarts.simulator</span></code></a></p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="qdarts.tunneling_simulator.html#module-qdarts.tunneling_simulator" title="qdarts.tunneling_simulator"><code class="xref py py-obj docutils literal notranslate"><span class="pre">qdarts.tunneling_simulator</span></code></a></p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="qdarts.util_functions.html#module-qdarts.util_functions" title="qdarts.util_functions"><code class="xref py py-obj docutils literal notranslate"><span class="pre">qdarts.util_functions</span></code></a></p></td>
+<td><p></p></td>
+</tr>
+</tbody>
+</table>
+</section>
+
+
+ </div>
+
+ </div>
+ </div>
+ <div class="sphinxsidebar" role="navigation" aria-label="main navigation">
+ <div class="sphinxsidebarwrapper">
+<h1 class="logo"><a href="../index.html">QDarts</a></h1>
+
+
+
+
+
+
+
+
+<h3>Navigation</h3>
+<ul class="current">
+<li class="toctree-l1"><a class="reference internal" href="../simulator.html">Simulator</a></li>
+<li class="toctree-l1 current"><a class="reference internal" href="../api.html">API</a><ul class="current">
+<li class="toctree-l2 current"><a class="current reference internal" href="#">qdarts</a><ul>
+<li class="toctree-l3"><a class="reference internal" href="qdarts.capacitance_model.html">qdarts.capacitance_model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="qdarts.experiment.html">qdarts.experiment</a></li>
+<li class="toctree-l3"><a class="reference internal" href="qdarts.noise_processes.html">qdarts.noise_processes</a></li>
+<li class="toctree-l3"><a class="reference internal" href="qdarts.plotting.html">qdarts.plotting</a></li>
+<li class="toctree-l3"><a class="reference internal" href="qdarts.polytope.html">qdarts.polytope</a></li>
+<li class="toctree-l3"><a class="reference internal" href="qdarts.simulator.html">qdarts.simulator</a></li>
+<li class="toctree-l3"><a class="reference internal" href="qdarts.tunneling_simulator.html">qdarts.tunneling_simulator</a></li>
+<li class="toctree-l3"><a class="reference internal" href="qdarts.util_functions.html">qdarts.util_functions</a></li>
+</ul>
+</li>
+</ul>
+</li>
+</ul>
+
+<div class="relations">
+<h3>Related Topics</h3>
+<ul>
+ <li><a href="../index.html">Documentation overview</a><ul>
+ <li><a href="../api.html">API</a><ul>
+ <li>Previous: <a href="../api.html" title="previous chapter">API</a></li>
+ <li>Next: <a href="qdarts.capacitance_model.html" title="next chapter">qdarts.capacitance_model</a></li>
+ </ul></li>
+ </ul></li>
+</ul>
+</div>
+<search id="searchbox" style="display: none" role="search">
+ <h3 id="searchlabel">Quick search</h3>
+ <div class="searchformwrapper">
+ <form class="search" action="../search.html" method="get">
+ <input type="text" name="q" aria-labelledby="searchlabel" autocomplete="off" autocorrect="off" autocapitalize="off" spellcheck="false"/>
+ <input type="submit" value="Go" />
+ </form>
+ </div>
+</search>
+<script>document.getElementById('searchbox').style.display = "block"</script>
+
+
+
+
+
+
+
+
+ </div>
+ </div>
+ <div class="clearer"></div>
+ </div>
+ <div class="footer">
+ ©2024, Oswin Krause, Jan Krzywda, Weikun Liu, Evert van Nieuwenburg.
+
+ |
+ Powered by <a href="https://www.sphinx-doc.org/">Sphinx 7.3.7</a>
+ & <a href="https://alabaster.readthedocs.io">Alabaster 0.7.16</a>
+
+ |
+ <a href="../_sources/_autosummary/qdarts.rst.txt"
+ rel="nofollow">Page source</a>
+ </div>
+
+
+
+
+ </body>
+</html>
\ No newline at end of file
diff --git a/QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/docs/_autosummary/qdarts.noise_processes.html b/QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/docs/_autosummary/qdarts.noise_processes.html
new file mode 100644
index 0000000..3f48599
--- /dev/null
+++ b/QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/docs/_autosummary/qdarts.noise_processes.html
@@ -0,0 +1,140 @@
+<!DOCTYPE html>
+
+<html lang="en" data-content_root="../">
+ <head>
+ <meta charset="utf-8" />
+ <meta name="viewport" content="width=device-width, initial-scale=1.0" /><meta name="generator" content="Docutils 0.18.1: http://docutils.sourceforge.net/" />
+
+ <title>qdarts.noise_processes — QDarts documentation</title>
+ <link rel="stylesheet" type="text/css" href="../_static/pygments.css?v=61cd365c" />
+ <link rel="stylesheet" type="text/css" href="../_static/alabaster.css?v=12dfc556" />
+ <script src="../_static/documentation_options.js?v=5929fcd5"></script>
+ <script src="../_static/doctools.js?v=9a2dae69"></script>
+ <script src="../_static/sphinx_highlight.js?v=dc90522c"></script>
+ <script async="async" src="https://cdn.jsdelivr.net/npm/mathjax@3/es5/tex-mml-chtml.js"></script>
+ <link rel="index" title="Index" href="../genindex.html" />
+ <link rel="search" title="Search" href="../search.html" />
+ <link rel="next" title="qdarts.plotting" href="qdarts.plotting.html" />
+ <link rel="prev" title="qdarts.experiment" href="qdarts.experiment.html" />
+
+ <link rel="stylesheet" href="../_static/custom.css" type="text/css" />
+
+
+
+
+
+ </head><body>
+
+
+ <div class="document">
+ <div class="documentwrapper">
+ <div class="bodywrapper">
+
+
+ <div class="body" role="main">
+
+ <section id="module-qdarts.noise_processes">
+<span id="qdarts-noise-processes"></span><h1>qdarts.noise_processes<a class="headerlink" href="#module-qdarts.noise_processes" title="Link to this heading">¶</a></h1>
+<p class="rubric">Classes</p>
+<table class="autosummary longtable docutils align-default">
+<tbody>
+<tr class="row-odd"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">AbstractNoiseProcess</span></code>(num_elements)</p></td>
+<td><p>Models a noise process that produces possibly dependent samples <span class="math notranslate nohighlight">\(\epsilon(v)_t\)</span>.</p></td>
+</tr>
+<tr class="row-even"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">Cosine_Mean_Function</span></code>(noise_model, a, W[, b])</p></td>
+<td><p>Decorator of an random process that models an additive mean term that depends on the gate voltages.</p></td>
+</tr>
+<tr class="row-odd"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">OU_process</span></code>(sigma, tc, dt, num_elements)</p></td>
+<td><p>Implements the Ornstein-Uhlenbeck noise process</p></td>
+</tr>
+</tbody>
+</table>
+</section>
+
+
+ </div>
+
+ </div>
+ </div>
+ <div class="sphinxsidebar" role="navigation" aria-label="main navigation">
+ <div class="sphinxsidebarwrapper">
+<h1 class="logo"><a href="../index.html">QDarts</a></h1>
+
+
+
+
+
+
+
+
+<h3>Navigation</h3>
+<ul class="current">
+<li class="toctree-l1"><a class="reference internal" href="../simulator.html">Simulator</a></li>
+<li class="toctree-l1 current"><a class="reference internal" href="../api.html">API</a><ul class="current">
+<li class="toctree-l2 current"><a class="reference internal" href="qdarts.html">qdarts</a><ul class="current">
+<li class="toctree-l3"><a class="reference internal" href="qdarts.capacitance_model.html">qdarts.capacitance_model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="qdarts.experiment.html">qdarts.experiment</a></li>
+<li class="toctree-l3 current"><a class="current reference internal" href="#">qdarts.noise_processes</a></li>
+<li class="toctree-l3"><a class="reference internal" href="qdarts.plotting.html">qdarts.plotting</a></li>
+<li class="toctree-l3"><a class="reference internal" href="qdarts.polytope.html">qdarts.polytope</a></li>
+<li class="toctree-l3"><a class="reference internal" href="qdarts.simulator.html">qdarts.simulator</a></li>
+<li class="toctree-l3"><a class="reference internal" href="qdarts.tunneling_simulator.html">qdarts.tunneling_simulator</a></li>
+<li class="toctree-l3"><a class="reference internal" href="qdarts.util_functions.html">qdarts.util_functions</a></li>
+</ul>
+</li>
+</ul>
+</li>
+</ul>
+
+<div class="relations">
+<h3>Related Topics</h3>
+<ul>
+ <li><a href="../index.html">Documentation overview</a><ul>
+ <li><a href="../api.html">API</a><ul>
+ <li><a href="qdarts.html">qdarts</a><ul>
+ <li>Previous: <a href="qdarts.experiment.html" title="previous chapter">qdarts.experiment</a></li>
+ <li>Next: <a href="qdarts.plotting.html" title="next chapter">qdarts.plotting</a></li>
+ </ul></li>
+ </ul></li>
+ </ul></li>
+</ul>
+</div>
+<search id="searchbox" style="display: none" role="search">
+ <h3 id="searchlabel">Quick search</h3>
+ <div class="searchformwrapper">
+ <form class="search" action="../search.html" method="get">
+ <input type="text" name="q" aria-labelledby="searchlabel" autocomplete="off" autocorrect="off" autocapitalize="off" spellcheck="false"/>
+ <input type="submit" value="Go" />
+ </form>
+ </div>
+</search>
+<script>document.getElementById('searchbox').style.display = "block"</script>
+
+
+
+
+
+
+
+
+ </div>
+ </div>
+ <div class="clearer"></div>
+ </div>
+ <div class="footer">
+ ©2024, Oswin Krause, Jan Krzywda, Weikun Liu, Evert van Nieuwenburg.
+
+ |
+ Powered by <a href="https://www.sphinx-doc.org/">Sphinx 7.3.7</a>
+ & <a href="https://alabaster.readthedocs.io">Alabaster 0.7.16</a>
+
+ |
+ <a href="../_sources/_autosummary/qdarts.noise_processes.rst.txt"
+ rel="nofollow">Page source</a>
+ </div>
+
+
+
+
+ </body>
+</html>
\ No newline at end of file
diff --git a/QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/docs/_autosummary/qdarts.plotting.html b/QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/docs/_autosummary/qdarts.plotting.html
new file mode 100644
index 0000000..8c03b30
--- /dev/null
+++ b/QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/docs/_autosummary/qdarts.plotting.html
@@ -0,0 +1,151 @@
+<!DOCTYPE html>
+
+<html lang="en" data-content_root="../">
+ <head>
+ <meta charset="utf-8" />
+ <meta name="viewport" content="width=device-width, initial-scale=1.0" /><meta name="generator" content="Docutils 0.18.1: http://docutils.sourceforge.net/" />
+
+ <title>qdarts.plotting — QDarts documentation</title>
+ <link rel="stylesheet" type="text/css" href="../_static/pygments.css?v=61cd365c" />
+ <link rel="stylesheet" type="text/css" href="../_static/alabaster.css?v=12dfc556" />
+ <script src="../_static/documentation_options.js?v=5929fcd5"></script>
+ <script src="../_static/doctools.js?v=9a2dae69"></script>
+ <script src="../_static/sphinx_highlight.js?v=dc90522c"></script>
+ <link rel="index" title="Index" href="../genindex.html" />
+ <link rel="search" title="Search" href="../search.html" />
+ <link rel="next" title="qdarts.polytope" href="qdarts.polytope.html" />
+ <link rel="prev" title="qdarts.noise_processes" href="qdarts.noise_processes.html" />
+
+ <link rel="stylesheet" href="../_static/custom.css" type="text/css" />
+
+
+
+
+
+ </head><body>
+
+
+ <div class="document">
+ <div class="documentwrapper">
+ <div class="bodywrapper">
+
+
+ <div class="body" role="main">
+
+ <section id="module-qdarts.plotting">
+<span id="qdarts-plotting"></span><h1>qdarts.plotting<a class="headerlink" href="#module-qdarts.plotting" title="Link to this heading">¶</a></h1>
+<p class="rubric">Functions</p>
+<table class="autosummary longtable docutils align-default">
+<tbody>
+<tr class="row-odd"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">find_feasible_point</span></code>(halfspaces)</p></td>
+<td><p>Computes a feasible point by a polytope defined in halfspace format.</p></td>
+</tr>
+<tr class="row-even"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_2D_polytope</span></code>(A, b, color, lower_bounds[, ...])</p></td>
+<td><p>computes the corners of a 2D polytope from the provided polytope.</p></td>
+</tr>
+<tr class="row-odd"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_CSD_data</span></code>(simulation, P, v_0, lower_left, ...)</p></td>
+<td><p>Function that computes a Charge Stability Diagram from a simulation of a device.</p></td>
+</tr>
+<tr class="row-even"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_polytopes</span></code>(states, simulation_slice, ...)</p></td>
+<td><p>For each unique state in the provided state list, computes the corners of the polytope.</p></td>
+</tr>
+<tr class="row-odd"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">plot_2D_polytope</span></code>(ax, A, b, color, lower_bounds)</p></td>
+<td><p>Plots a single 2D polytope.</p></td>
+</tr>
+<tr class="row-even"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">plot_polytopes</span></code>(ax, polytopes[, fontsize, ...])</p></td>
+<td><p>Plot the polytopes computes by get_polytopes</p></td>
+</tr>
+<tr class="row-odd"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">raster_CSD_states</span></code>(simulation, P, v_0, minV, ...)</p></td>
+<td><p>Creates a grid of points in 2D space and computes for each point the ground state.</p></td>
+</tr>
+</tbody>
+</table>
+</section>
+
+
+ </div>
+
+ </div>
+ </div>
+ <div class="sphinxsidebar" role="navigation" aria-label="main navigation">
+ <div class="sphinxsidebarwrapper">
+<h1 class="logo"><a href="../index.html">QDarts</a></h1>
+
+
+
+
+
+
+
+
+<h3>Navigation</h3>
+<ul class="current">
+<li class="toctree-l1"><a class="reference internal" href="../simulator.html">Simulator</a></li>
+<li class="toctree-l1 current"><a class="reference internal" href="../api.html">API</a><ul class="current">
+<li class="toctree-l2 current"><a class="reference internal" href="qdarts.html">qdarts</a><ul class="current">
+<li class="toctree-l3"><a class="reference internal" href="qdarts.capacitance_model.html">qdarts.capacitance_model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="qdarts.experiment.html">qdarts.experiment</a></li>
+<li class="toctree-l3"><a class="reference internal" href="qdarts.noise_processes.html">qdarts.noise_processes</a></li>
+<li class="toctree-l3 current"><a class="current reference internal" href="#">qdarts.plotting</a></li>
+<li class="toctree-l3"><a class="reference internal" href="qdarts.polytope.html">qdarts.polytope</a></li>
+<li class="toctree-l3"><a class="reference internal" href="qdarts.simulator.html">qdarts.simulator</a></li>
+<li class="toctree-l3"><a class="reference internal" href="qdarts.tunneling_simulator.html">qdarts.tunneling_simulator</a></li>
+<li class="toctree-l3"><a class="reference internal" href="qdarts.util_functions.html">qdarts.util_functions</a></li>
+</ul>
+</li>
+</ul>
+</li>
+</ul>
+
+<div class="relations">
+<h3>Related Topics</h3>
+<ul>
+ <li><a href="../index.html">Documentation overview</a><ul>
+ <li><a href="../api.html">API</a><ul>
+ <li><a href="qdarts.html">qdarts</a><ul>
+ <li>Previous: <a href="qdarts.noise_processes.html" title="previous chapter">qdarts.noise_processes</a></li>
+ <li>Next: <a href="qdarts.polytope.html" title="next chapter">qdarts.polytope</a></li>
+ </ul></li>
+ </ul></li>
+ </ul></li>
+</ul>
+</div>
+<search id="searchbox" style="display: none" role="search">
+ <h3 id="searchlabel">Quick search</h3>
+ <div class="searchformwrapper">
+ <form class="search" action="../search.html" method="get">
+ <input type="text" name="q" aria-labelledby="searchlabel" autocomplete="off" autocorrect="off" autocapitalize="off" spellcheck="false"/>
+ <input type="submit" value="Go" />
+ </form>
+ </div>
+</search>
+<script>document.getElementById('searchbox').style.display = "block"</script>
+
+
+
+
+
+
+
+
+ </div>
+ </div>
+ <div class="clearer"></div>
+ </div>
+ <div class="footer">
+ ©2024, Oswin Krause, Jan Krzywda, Weikun Liu, Evert van Nieuwenburg.
+
+ |
+ Powered by <a href="https://www.sphinx-doc.org/">Sphinx 7.3.7</a>
+ & <a href="https://alabaster.readthedocs.io">Alabaster 0.7.16</a>
+
+ |
+ <a href="../_sources/_autosummary/qdarts.plotting.rst.txt"
+ rel="nofollow">Page source</a>
+ </div>
+
+
+
+
+ </body>
+</html>
\ No newline at end of file
diff --git a/QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/docs/_autosummary/qdarts.polytope.html b/QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/docs/_autosummary/qdarts.polytope.html
new file mode 100644
index 0000000..daa1fae
--- /dev/null
+++ b/QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/docs/_autosummary/qdarts.polytope.html
@@ -0,0 +1,133 @@
+<!DOCTYPE html>
+
+<html lang="en" data-content_root="../">
+ <head>
+ <meta charset="utf-8" />
+ <meta name="viewport" content="width=device-width, initial-scale=1.0" /><meta name="generator" content="Docutils 0.18.1: http://docutils.sourceforge.net/" />
+
+ <title>qdarts.polytope — QDarts documentation</title>
+ <link rel="stylesheet" type="text/css" href="../_static/pygments.css?v=61cd365c" />
+ <link rel="stylesheet" type="text/css" href="../_static/alabaster.css?v=12dfc556" />
+ <script src="../_static/documentation_options.js?v=5929fcd5"></script>
+ <script src="../_static/doctools.js?v=9a2dae69"></script>
+ <script src="../_static/sphinx_highlight.js?v=dc90522c"></script>
+ <link rel="index" title="Index" href="../genindex.html" />
+ <link rel="search" title="Search" href="../search.html" />
+ <link rel="next" title="qdarts.simulator" href="qdarts.simulator.html" />
+ <link rel="prev" title="qdarts.plotting" href="qdarts.plotting.html" />
+
+ <link rel="stylesheet" href="../_static/custom.css" type="text/css" />
+
+
+
+
+
+ </head><body>
+
+
+ <div class="document">
+ <div class="documentwrapper">
+ <div class="bodywrapper">
+
+
+ <div class="body" role="main">
+
+ <section id="module-qdarts.polytope">
+<span id="qdarts-polytope"></span><h1>qdarts.polytope<a class="headerlink" href="#module-qdarts.polytope" title="Link to this heading">¶</a></h1>
+<p class="rubric">Classes</p>
+<table class="autosummary longtable docutils align-default">
+<tbody>
+<tr class="row-odd"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">Polytope</span></code>(state)</p></td>
+<td><p>Represents the polytope P(n) defined by all gate voltages v in a device that have capacitive ground state n.</p></td>
+</tr>
+</tbody>
+</table>
+</section>
+
+
+ </div>
+
+ </div>
+ </div>
+ <div class="sphinxsidebar" role="navigation" aria-label="main navigation">
+ <div class="sphinxsidebarwrapper">
+<h1 class="logo"><a href="../index.html">QDarts</a></h1>
+
+
+
+
+
+
+
+
+<h3>Navigation</h3>
+<ul class="current">
+<li class="toctree-l1"><a class="reference internal" href="../simulator.html">Simulator</a></li>
+<li class="toctree-l1 current"><a class="reference internal" href="../api.html">API</a><ul class="current">
+<li class="toctree-l2 current"><a class="reference internal" href="qdarts.html">qdarts</a><ul class="current">
+<li class="toctree-l3"><a class="reference internal" href="qdarts.capacitance_model.html">qdarts.capacitance_model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="qdarts.experiment.html">qdarts.experiment</a></li>
+<li class="toctree-l3"><a class="reference internal" href="qdarts.noise_processes.html">qdarts.noise_processes</a></li>
+<li class="toctree-l3"><a class="reference internal" href="qdarts.plotting.html">qdarts.plotting</a></li>
+<li class="toctree-l3 current"><a class="current reference internal" href="#">qdarts.polytope</a></li>
+<li class="toctree-l3"><a class="reference internal" href="qdarts.simulator.html">qdarts.simulator</a></li>
+<li class="toctree-l3"><a class="reference internal" href="qdarts.tunneling_simulator.html">qdarts.tunneling_simulator</a></li>
+<li class="toctree-l3"><a class="reference internal" href="qdarts.util_functions.html">qdarts.util_functions</a></li>
+</ul>
+</li>
+</ul>
+</li>
+</ul>
+
+<div class="relations">
+<h3>Related Topics</h3>
+<ul>
+ <li><a href="../index.html">Documentation overview</a><ul>
+ <li><a href="../api.html">API</a><ul>
+ <li><a href="qdarts.html">qdarts</a><ul>
+ <li>Previous: <a href="qdarts.plotting.html" title="previous chapter">qdarts.plotting</a></li>
+ <li>Next: <a href="qdarts.simulator.html" title="next chapter">qdarts.simulator</a></li>
+ </ul></li>
+ </ul></li>
+ </ul></li>
+</ul>
+</div>
+<search id="searchbox" style="display: none" role="search">
+ <h3 id="searchlabel">Quick search</h3>
+ <div class="searchformwrapper">
+ <form class="search" action="../search.html" method="get">
+ <input type="text" name="q" aria-labelledby="searchlabel" autocomplete="off" autocorrect="off" autocapitalize="off" spellcheck="false"/>
+ <input type="submit" value="Go" />
+ </form>
+ </div>
+</search>
+<script>document.getElementById('searchbox').style.display = "block"</script>
+
+
+
+
+
+
+
+
+ </div>
+ </div>
+ <div class="clearer"></div>
+ </div>
+ <div class="footer">
+ ©2024, Oswin Krause, Jan Krzywda, Weikun Liu, Evert van Nieuwenburg.
+
+ |
+ Powered by <a href="https://www.sphinx-doc.org/">Sphinx 7.3.7</a>
+ & <a href="https://alabaster.readthedocs.io">Alabaster 0.7.16</a>
+
+ |
+ <a href="../_sources/_autosummary/qdarts.polytope.rst.txt"
+ rel="nofollow">Page source</a>
+ </div>
+
+
+
+
+ </body>
+</html>
\ No newline at end of file
diff --git a/QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/docs/_autosummary/qdarts.simulator.html b/QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/docs/_autosummary/qdarts.simulator.html
new file mode 100644
index 0000000..82bbeee
--- /dev/null
+++ b/QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/docs/_autosummary/qdarts.simulator.html
@@ -0,0 +1,142 @@
+<!DOCTYPE html>
+
+<html lang="en" data-content_root="../">
+ <head>
+ <meta charset="utf-8" />
+ <meta name="viewport" content="width=device-width, initial-scale=1.0" /><meta name="generator" content="Docutils 0.18.1: http://docutils.sourceforge.net/" />
+
+ <title>qdarts.simulator — QDarts documentation</title>
+ <link rel="stylesheet" type="text/css" href="../_static/pygments.css?v=61cd365c" />
+ <link rel="stylesheet" type="text/css" href="../_static/alabaster.css?v=12dfc556" />
+ <script src="../_static/documentation_options.js?v=5929fcd5"></script>
+ <script src="../_static/doctools.js?v=9a2dae69"></script>
+ <script src="../_static/sphinx_highlight.js?v=dc90522c"></script>
+ <link rel="index" title="Index" href="../genindex.html" />
+ <link rel="search" title="Search" href="../search.html" />
+ <link rel="next" title="qdarts.tunneling_simulator" href="qdarts.tunneling_simulator.html" />
+ <link rel="prev" title="qdarts.polytope" href="qdarts.polytope.html" />
+
+ <link rel="stylesheet" href="../_static/custom.css" type="text/css" />
+
+
+
+
+
+ </head><body>
+
+
+ <div class="document">
+ <div class="documentwrapper">
+ <div class="bodywrapper">
+
+
+ <div class="body" role="main">
+
+ <section id="module-qdarts.simulator">
+<span id="qdarts-simulator"></span><h1>qdarts.simulator<a class="headerlink" href="#module-qdarts.simulator" title="Link to this heading">¶</a></h1>
+<p class="rubric">Classes</p>
+<table class="autosummary longtable docutils align-default">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="../interfaces/qdarts.simulator.AbstractPolytopeSimulator.html#qdarts.simulator.AbstractPolytopeSimulator" title="qdarts.simulator.AbstractPolytopeSimulator"><code class="xref py py-obj docutils literal notranslate"><span class="pre">AbstractPolytopeSimulator</span></code></a>(num_dots, num_inputs)</p></td>
+<td><p>Base class for all simulation objects that can compute and return polytopes.</p></td>
+</tr>
+<tr class="row-even"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">BaseCapacitiveDeviceSimulator</span></code>(capacitance_model)</p></td>
+<td><p>Base class for all objects that create device simulations from a Capacitive Model.</p></td>
+</tr>
+<tr class="row-odd"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">CapacitiveDeviceSimulator</span></code>(capacitance_model)</p></td>
+<td><p>This class simulates a quantum dot device based on a capacitance model.</p></td>
+</tr>
+<tr class="row-even"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">CapacitiveDeviceSimulatorProxy</span></code>(simulator, P, m)</p></td>
+<td><p>This class is a slice proxy for the CapacitiveDeviceSimulator class.</p></td>
+</tr>
+</tbody>
+</table>
+</section>
+
+
+ </div>
+
+ </div>
+ </div>
+ <div class="sphinxsidebar" role="navigation" aria-label="main navigation">
+ <div class="sphinxsidebarwrapper">
+<h1 class="logo"><a href="../index.html">QDarts</a></h1>
+
+
+
+
+
+
+
+
+<h3>Navigation</h3>
+<ul class="current">
+<li class="toctree-l1"><a class="reference internal" href="../simulator.html">Simulator</a></li>
+<li class="toctree-l1 current"><a class="reference internal" href="../api.html">API</a><ul class="current">
+<li class="toctree-l2 current"><a class="reference internal" href="qdarts.html">qdarts</a><ul class="current">
+<li class="toctree-l3"><a class="reference internal" href="qdarts.capacitance_model.html">qdarts.capacitance_model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="qdarts.experiment.html">qdarts.experiment</a></li>
+<li class="toctree-l3"><a class="reference internal" href="qdarts.noise_processes.html">qdarts.noise_processes</a></li>
+<li class="toctree-l3"><a class="reference internal" href="qdarts.plotting.html">qdarts.plotting</a></li>
+<li class="toctree-l3"><a class="reference internal" href="qdarts.polytope.html">qdarts.polytope</a></li>
+<li class="toctree-l3 current"><a class="current reference internal" href="#">qdarts.simulator</a></li>
+<li class="toctree-l3"><a class="reference internal" href="qdarts.tunneling_simulator.html">qdarts.tunneling_simulator</a></li>
+<li class="toctree-l3"><a class="reference internal" href="qdarts.util_functions.html">qdarts.util_functions</a></li>
+</ul>
+</li>
+</ul>
+</li>
+</ul>
+
+<div class="relations">
+<h3>Related Topics</h3>
+<ul>
+ <li><a href="../index.html">Documentation overview</a><ul>
+ <li><a href="../api.html">API</a><ul>
+ <li><a href="qdarts.html">qdarts</a><ul>
+ <li>Previous: <a href="qdarts.polytope.html" title="previous chapter">qdarts.polytope</a></li>
+ <li>Next: <a href="qdarts.tunneling_simulator.html" title="next chapter">qdarts.tunneling_simulator</a></li>
+ </ul></li>
+ </ul></li>
+ </ul></li>
+</ul>
+</div>
+<search id="searchbox" style="display: none" role="search">
+ <h3 id="searchlabel">Quick search</h3>
+ <div class="searchformwrapper">
+ <form class="search" action="../search.html" method="get">
+ <input type="text" name="q" aria-labelledby="searchlabel" autocomplete="off" autocorrect="off" autocapitalize="off" spellcheck="false"/>
+ <input type="submit" value="Go" />
+ </form>
+ </div>
+</search>
+<script>document.getElementById('searchbox').style.display = "block"</script>
+
+
+
+
+
+
+
+
+ </div>
+ </div>
+ <div class="clearer"></div>
+ </div>
+ <div class="footer">
+ ©2024, Oswin Krause, Jan Krzywda, Weikun Liu, Evert van Nieuwenburg.
+
+ |
+ Powered by <a href="https://www.sphinx-doc.org/">Sphinx 7.3.7</a>
+ & <a href="https://alabaster.readthedocs.io">Alabaster 0.7.16</a>
+
+ |
+ <a href="../_sources/_autosummary/qdarts.simulator.rst.txt"
+ rel="nofollow">Page source</a>
+ </div>
+
+
+
+
+ </body>
+</html>
\ No newline at end of file
diff --git a/QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/docs/_autosummary/qdarts.tunneling_simulator.html b/QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/docs/_autosummary/qdarts.tunneling_simulator.html
new file mode 100644
index 0000000..6910e99
--- /dev/null
+++ b/QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/docs/_autosummary/qdarts.tunneling_simulator.html
@@ -0,0 +1,153 @@
+<!DOCTYPE html>
+
+<html lang="en" data-content_root="../">
+ <head>
+ <meta charset="utf-8" />
+ <meta name="viewport" content="width=device-width, initial-scale=1.0" /><meta name="generator" content="Docutils 0.18.1: http://docutils.sourceforge.net/" />
+
+ <title>qdarts.tunneling_simulator — QDarts documentation</title>
+ <link rel="stylesheet" type="text/css" href="../_static/pygments.css?v=61cd365c" />
+ <link rel="stylesheet" type="text/css" href="../_static/alabaster.css?v=12dfc556" />
+ <script src="../_static/documentation_options.js?v=5929fcd5"></script>
+ <script src="../_static/doctools.js?v=9a2dae69"></script>
+ <script src="../_static/sphinx_highlight.js?v=dc90522c"></script>
+ <link rel="index" title="Index" href="../genindex.html" />
+ <link rel="search" title="Search" href="../search.html" />
+ <link rel="next" title="qdarts.util_functions" href="qdarts.util_functions.html" />
+ <link rel="prev" title="qdarts.simulator" href="qdarts.simulator.html" />
+
+ <link rel="stylesheet" href="../_static/custom.css" type="text/css" />
+
+
+
+
+
+ </head><body>
+
+
+ <div class="document">
+ <div class="documentwrapper">
+ <div class="bodywrapper">
+
+
+ <div class="body" role="main">
+
+ <section id="module-qdarts.tunneling_simulator">
+<span id="qdarts-tunneling-simulator"></span><h1>qdarts.tunneling_simulator<a class="headerlink" href="#module-qdarts.tunneling_simulator" title="Link to this heading">¶</a></h1>
+<p class="rubric">Functions</p>
+<table class="autosummary longtable docutils align-default">
+<tbody>
+<tr class="row-odd"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">softmax</span></code>(v[, axis])</p></td>
+<td><p></p></td>
+</tr>
+</tbody>
+</table>
+<p class="rubric">Classes</p>
+<table class="autosummary longtable docutils align-default">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="../interfaces/qdarts.tunneling_simulator.AbstractSensorSim.html#qdarts.tunneling_simulator.AbstractSensorSim" title="qdarts.tunneling_simulator.AbstractSensorSim"><code class="xref py py-obj docutils literal notranslate"><span class="pre">AbstractSensorSim</span></code></a>(num_sensors)</p></td>
+<td><p>Base class defining the interface for all sensor simulations</p></td>
+</tr>
+<tr class="row-even"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">ApproximateTunnelingSimulator</span></code>(polytope_sim, ...)</p></td>
+<td><p>Simulator for approximate charge tunneling in a quantum dot device.</p></td>
+</tr>
+<tr class="row-odd"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">LocalSystem</span></code>(v, H, state, sim)</p></td>
+<td><p>Class describing a quantum system defined by the gate voltages of a simulated device.</p></td>
+</tr>
+<tr class="row-even"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">NoisySensorDot</span></code>(sensor_dot_ids)</p></td>
+<td><p>Simulates a sensor signal by computing the conductance of the sensor dots.</p></td>
+</tr>
+<tr class="row-odd"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">TunnelBarrierModel</span></code>(gate_offsets[, gate_levers])</p></td>
+<td><p>Model of the tunnel barriers of a device</p></td>
+</tr>
+</tbody>
+</table>
+</section>
+
+
+ </div>
+
+ </div>
+ </div>
+ <div class="sphinxsidebar" role="navigation" aria-label="main navigation">
+ <div class="sphinxsidebarwrapper">
+<h1 class="logo"><a href="../index.html">QDarts</a></h1>
+
+
+
+
+
+
+
+
+<h3>Navigation</h3>
+<ul class="current">
+<li class="toctree-l1"><a class="reference internal" href="../simulator.html">Simulator</a></li>
+<li class="toctree-l1 current"><a class="reference internal" href="../api.html">API</a><ul class="current">
+<li class="toctree-l2 current"><a class="reference internal" href="qdarts.html">qdarts</a><ul class="current">
+<li class="toctree-l3"><a class="reference internal" href="qdarts.capacitance_model.html">qdarts.capacitance_model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="qdarts.experiment.html">qdarts.experiment</a></li>
+<li class="toctree-l3"><a class="reference internal" href="qdarts.noise_processes.html">qdarts.noise_processes</a></li>
+<li class="toctree-l3"><a class="reference internal" href="qdarts.plotting.html">qdarts.plotting</a></li>
+<li class="toctree-l3"><a class="reference internal" href="qdarts.polytope.html">qdarts.polytope</a></li>
+<li class="toctree-l3"><a class="reference internal" href="qdarts.simulator.html">qdarts.simulator</a></li>
+<li class="toctree-l3 current"><a class="current reference internal" href="#">qdarts.tunneling_simulator</a></li>
+<li class="toctree-l3"><a class="reference internal" href="qdarts.util_functions.html">qdarts.util_functions</a></li>
+</ul>
+</li>
+</ul>
+</li>
+</ul>
+
+<div class="relations">
+<h3>Related Topics</h3>
+<ul>
+ <li><a href="../index.html">Documentation overview</a><ul>
+ <li><a href="../api.html">API</a><ul>
+ <li><a href="qdarts.html">qdarts</a><ul>
+ <li>Previous: <a href="qdarts.simulator.html" title="previous chapter">qdarts.simulator</a></li>
+ <li>Next: <a href="qdarts.util_functions.html" title="next chapter">qdarts.util_functions</a></li>
+ </ul></li>
+ </ul></li>
+ </ul></li>
+</ul>
+</div>
+<search id="searchbox" style="display: none" role="search">
+ <h3 id="searchlabel">Quick search</h3>
+ <div class="searchformwrapper">
+ <form class="search" action="../search.html" method="get">
+ <input type="text" name="q" aria-labelledby="searchlabel" autocomplete="off" autocorrect="off" autocapitalize="off" spellcheck="false"/>
+ <input type="submit" value="Go" />
+ </form>
+ </div>
+</search>
+<script>document.getElementById('searchbox').style.display = "block"</script>
+
+
+
+
+
+
+
+
+ </div>
+ </div>
+ <div class="clearer"></div>
+ </div>
+ <div class="footer">
+ ©2024, Oswin Krause, Jan Krzywda, Weikun Liu, Evert van Nieuwenburg.
+
+ |
+ Powered by <a href="https://www.sphinx-doc.org/">Sphinx 7.3.7</a>
+ & <a href="https://alabaster.readthedocs.io">Alabaster 0.7.16</a>
+
+ |
+ <a href="../_sources/_autosummary/qdarts.tunneling_simulator.rst.txt"
+ rel="nofollow">Page source</a>
+ </div>
+
+
+
+
+ </body>
+</html>
\ No newline at end of file
diff --git a/QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/docs/_autosummary/qdarts.util_functions.html b/QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/docs/_autosummary/qdarts.util_functions.html
new file mode 100644
index 0000000..d0035f3
--- /dev/null
+++ b/QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/docs/_autosummary/qdarts.util_functions.html
@@ -0,0 +1,155 @@
+<!DOCTYPE html>
+
+<html lang="en" data-content_root="../">
+ <head>
+ <meta charset="utf-8" />
+ <meta name="viewport" content="width=device-width, initial-scale=1.0" /><meta name="generator" content="Docutils 0.18.1: http://docutils.sourceforge.net/" />
+
+ <title>qdarts.util_functions — QDarts documentation</title>
+ <link rel="stylesheet" type="text/css" href="../_static/pygments.css?v=61cd365c" />
+ <link rel="stylesheet" type="text/css" href="../_static/alabaster.css?v=12dfc556" />
+ <script src="../_static/documentation_options.js?v=5929fcd5"></script>
+ <script src="../_static/doctools.js?v=9a2dae69"></script>
+ <script src="../_static/sphinx_highlight.js?v=dc90522c"></script>
+ <link rel="index" title="Index" href="../genindex.html" />
+ <link rel="search" title="Search" href="../search.html" />
+ <link rel="prev" title="qdarts.tunneling_simulator" href="qdarts.tunneling_simulator.html" />
+
+ <link rel="stylesheet" href="../_static/custom.css" type="text/css" />
+
+
+
+
+
+ </head><body>
+
+
+ <div class="document">
+ <div class="documentwrapper">
+ <div class="bodywrapper">
+
+
+ <div class="body" role="main">
+
+ <section id="module-qdarts.util_functions">
+<span id="qdarts-util-functions"></span><h1>qdarts.util_functions<a class="headerlink" href="#module-qdarts.util_functions" title="Link to this heading">¶</a></h1>
+<p class="rubric">Functions</p>
+<table class="autosummary longtable docutils align-default">
+<tbody>
+<tr class="row-odd"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">axis_align_transitions</span></code>(simulator, ...[, proxy])</p></td>
+<td><p>Transform the simulators coordinate system such that transitions are aligned with coordinate axes</p></td>
+</tr>
+<tr class="row-even"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">compensate_simulator_sensors</span></code>(simulator, ...)</p></td>
+<td><p>Transforms the simulation to compensate the sensors against all other gates.</p></td>
+</tr>
+<tr class="row-odd"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">compute_maximum_inscribed_circle</span></code>(A, b, ...)</p></td>
+<td><p>Computes the maximum inscribed circle in a polytope intersected with a set of linear inequalities.</p></td>
+</tr>
+<tr class="row-even"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">compute_polytope_slacks</span></code>(A, b, maximum_slack)</p></td>
+<td><p>Computes the slacks of each candidate transition of a ground state polytope.</p></td>
+</tr>
+<tr class="row-odd"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">find_label</span></code>(labels, label)</p></td>
+<td><p>helper function that finds the position of a state in a matrix of states</p></td>
+</tr>
+<tr class="row-even"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">find_point_on_transitions</span></code>(polytope, indizes)</p></td>
+<td><p>Finds a point on a facet (or intersection point of multiple facets) of a polytope</p></td>
+</tr>
+<tr class="row-odd"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">fix_gates</span></code>(simulator, gate_ids, gate_values)</p></td>
+<td><p>Fixes a number of gate voltages in the simulator object</p></td>
+</tr>
+<tr class="row-even"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">is_invertible_matrix</span></code>(A[, max_cond])</p></td>
+<td><p>Returns true if A is an invertible matrix.</p></td>
+</tr>
+<tr class="row-odd"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">solve_linear_problem</span></code>(prob)</p></td>
+<td><p>Internal helper function to solve supplied linear cvxpy problems</p></td>
+</tr>
+</tbody>
+</table>
+</section>
+
+
+ </div>
+
+ </div>
+ </div>
+ <div class="sphinxsidebar" role="navigation" aria-label="main navigation">
+ <div class="sphinxsidebarwrapper">
+<h1 class="logo"><a href="../index.html">QDarts</a></h1>
+
+
+
+
+
+
+
+
+<h3>Navigation</h3>
+<ul class="current">
+<li class="toctree-l1"><a class="reference internal" href="../simulator.html">Simulator</a></li>
+<li class="toctree-l1 current"><a class="reference internal" href="../api.html">API</a><ul class="current">
+<li class="toctree-l2 current"><a class="reference internal" href="qdarts.html">qdarts</a><ul class="current">
+<li class="toctree-l3"><a class="reference internal" href="qdarts.capacitance_model.html">qdarts.capacitance_model</a></li>
+<li class="toctree-l3"><a class="reference internal" href="qdarts.experiment.html">qdarts.experiment</a></li>
+<li class="toctree-l3"><a class="reference internal" href="qdarts.noise_processes.html">qdarts.noise_processes</a></li>
+<li class="toctree-l3"><a class="reference internal" href="qdarts.plotting.html">qdarts.plotting</a></li>
+<li class="toctree-l3"><a class="reference internal" href="qdarts.polytope.html">qdarts.polytope</a></li>
+<li class="toctree-l3"><a class="reference internal" href="qdarts.simulator.html">qdarts.simulator</a></li>
+<li class="toctree-l3"><a class="reference internal" href="qdarts.tunneling_simulator.html">qdarts.tunneling_simulator</a></li>
+<li class="toctree-l3 current"><a class="current reference internal" href="#">qdarts.util_functions</a></li>
+</ul>
+</li>
+</ul>
+</li>
+</ul>
+
+<div class="relations">
+<h3>Related Topics</h3>
+<ul>
+ <li><a href="../index.html">Documentation overview</a><ul>
+ <li><a href="../api.html">API</a><ul>
+ <li><a href="qdarts.html">qdarts</a><ul>
+ <li>Previous: <a href="qdarts.tunneling_simulator.html" title="previous chapter">qdarts.tunneling_simulator</a></li>
+ </ul></li>
+ </ul></li>
+ </ul></li>
+</ul>
+</div>
+<search id="searchbox" style="display: none" role="search">
+ <h3 id="searchlabel">Quick search</h3>
+ <div class="searchformwrapper">
+ <form class="search" action="../search.html" method="get">
+ <input type="text" name="q" aria-labelledby="searchlabel" autocomplete="off" autocorrect="off" autocapitalize="off" spellcheck="false"/>
+ <input type="submit" value="Go" />
+ </form>
+ </div>
+</search>
+<script>document.getElementById('searchbox').style.display = "block"</script>
+
+
+
+
+
+
+
+
+ </div>
+ </div>
+ <div class="clearer"></div>
+ </div>
+ <div class="footer">
+ ©2024, Oswin Krause, Jan Krzywda, Weikun Liu, Evert van Nieuwenburg.
+
+ |
+ Powered by <a href="https://www.sphinx-doc.org/">Sphinx 7.3.7</a>
+ & <a href="https://alabaster.readthedocs.io">Alabaster 0.7.16</a>
+
+ |
+ <a href="../_sources/_autosummary/qdarts.util_functions.rst.txt"
+ rel="nofollow">Page source</a>
+ </div>
+
+
+
+
+ </body>
+</html>
\ No newline at end of file
diff --git a/QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/docs/_images/api_csd_grid.png b/QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/docs/_images/api_csd_grid.png
new file mode 100644
index 0000000000000000000000000000000000000000..334eece064c5b60afc19c2175e406edb91e59151
GIT binary patch
literal 46721
zcmZs@WmsHIur&%v2yVeWxVr{T2<}dBcXt_Fg9j&gaCdiicN^T@UGC;R=iFc4k9ioF
zp6=e=)zzz3ts+EDMidba7Y+gf0#RH{NC5)kgAxP;WERY4;4j3@zbb$q-yDU1IV##1
zJG$uE8$n3xIoev<I9i(Ne|0vpcQCWDW@Y%sz)bhm)X~w_ft!)h>i=)RU}JB>IE`~k
z40Hl(E2icE0fDUd{(>wJ$Tx$4s67=I`k~~SdJJ}PRWe%Yzc`bkh-Dd+awo@75To*i
z_=ol5yCux+D#*pkV%|y3NmYxsys6Bn^w%E>iL=)FiJyY*jIkq9c`e?b{Gva>kbR3C
zd1)-ujA6}xmJw?39CJ7o-Ld7uhanC?5&T`9r^4-nA_zk)WI_oQ|Nf@uTa2H?`-hwO
z;y=iNHZXRPIhkL8PXf3^735&wzm`f$UGV-1@mMsv()%YUdtz`j|8?j<_J7?R{_#6}
zxm%;;;J}oXm1SXJ`PJ_ALVcIPZ18z-aM0D=eX7~TW_L7Ye)}rJ>oMeFs~-&;`?o}{
z{?S}1Wm>l(i`|;%9V+mrs3>H`e3{&eiVAug$@jrN?ECl~HlMX^O^Ooj1Y&9HUhR%v
zpDZWBqEW~xDa{<e7OR%;CR>zk)Gb>Z3@6Y_rStwBjHRr0*c<Ef3>P8o4o2Rqo!7Rw
zXo}*!gsC<eH|`6^q0^`fZ)xGpllnWgdq?^HbpOoHdZSrcSg^Tlzn-<;5kfdOrxg@X
z5xTBJrn?^&#@@Cc78Nt$MvVMr&9_@#@AMa!lr(s}K9Ig09U3BGV2GsGsQZ(UFxSvp
zRTZ<ouG{wdXu;6_Y!AW0%6hO^O=&S#qIbUDd19OYzJ#{Q$+x_Xz5067dD6Tu*V7Tp
zGv@4DeGvwu$?T(q)yAW^gr3)v6w4G+Ngcq5<M&M|99CIvZRvJfeeBkfGBOn0+)cfH
zLzWx{94UD1^~)!5@$u~ZD(LT>Upa8$E2*lYp`!Y#gY6W1muoX=sHr=Rt5I=rmkdFs
zrc{6b{v9P$l#`n{euaX9GVuWW`F*HSr}y&mGVw?^o6ftKl4MM~V1HkijTU=*`~A66
zjbN>EE%>6b?SuRbYZew2H8pWZM>b>z?5N-|txm(N;=|qe9%;LAMTO?yU~*Y10#O*d
z5tt1Af)B4@+18j!?FEkblM>48&iaog8%IaW|K_dc{b;DDU^qGJV^_;)>FCJl=t>q1
zy1Kg5YrQ4+Dt^%^DJikx<Z{ot@$&MXpPzHNHIES>6HylkEz|CzsGren-X#7p@WSD7
zk`VnO2;n}SR^U;x&VvD64h)`}8<}1<U51QRt4@D#a6qSCQ(%_@wl<l}5=Ovb$yqcA
zLcp0a^!9;*$E<1ac9@!;wsUc@u}^OW-NmG(fs3wSCRcA0UkKtQe(JARONgQhKKo{$
zf|Sf{&XaN+(I>@go=Dq8i9F*{teZk0KYnI1o%p)y^<)JYT>XkYJOt;eD`|9ev{VWQ
zqE9fP`)~Pdk&ANgmoRw7mOnP_F9{KNoR@$>v!_>=l!PB2TV7sX`UL62;)>(}3&4bp
zu;RRI#rwFQ{pr)E%=sg?bzf*~7Q^2y8<eRM;$Z!eIg&092IA^#sE#5>GU89)N1wPH
zU9v74k%Qe<5ALuS%E9^VI!?37&sQ05+Yfsgl=Sowr5g1t-mlMnA$yC9i`#p9oTmbg
z`*QDg%Kx}e`gnUXj4bf{Zfys%#j0EUfDvZtw0mi~ZUjPTdfv=lAI+DGYXsJ>x`%}^
zH2p4A%xAIR76WE`4_L&~lXIYHJozm3$nYCdtwfm09gSp>Vq7Fyz_5n7LgkE-Y@i#O
zse8rJmn=uJN!S_?QPEgYQ4ySfXUA4CW862TEHEGV3ZBiJzWlf;nYpbwK9V#5!lSko
z2Zi6?FIg=Bmq?X6lIy4PEXOk%vb>sFh<5o|#nF(ummrt#j<7(MGKh)AwP;E{0Ht3^
z!&%OTkz9yV`+zD7?GNDJC@YGtvFJF^y8RgyxkFJlkt0<+!%~*uc^Q?tLv8H=Kes_P
zmoU~jEG^nFuKd2)__4|l#7Myy@#B2JuQD=#zf0}O>awX=qIbOWmOG#l{4Js~B#qZe
zk2J&bO{+%gy+Hs0Ps%V>wi7(bfQ8?b9WWJqD(}(_tTtI{JRvT2z>C_FwC}!PHFrx0
z`p^lJ22>YR9)AWg(~R4_5At6hzcJu@`_|59gf`EJrA-5EF(a4C<qLT`C0BbeMq}Tf
zrMmuDxZ{WZy2F3-G<h!2vu`?;$&H1fBnO<aOrLpqR*g0J>M8ib?yS%epZF7m3VuTE
zIwt&~ZEiOV<-5n0F&1}%%OHHf_knriH2j83oZ6uf8;VG710h!e3eBa6?+OX1HoNPM
z?rpqqK;Es~j!L%F_;rpk9O}(wrc=5U8{MfW&W_NzP8iT@y=!{HuM$79Sz#xdvI{pQ
zG6Cj{fGIx}a(AK}$i}m#smH8NE4Cfy`r`3~dN!RX7iHSQ#{cV>0#17IxZu}dU)5Tr
z0nb4LYNsMLk@L@3tGA(+*wDvKj`4+rqEaKn`BUPhW=hB<+wTe4sDfsFk5VIbf_^Py
zz((2%D#$r~G1eexE}Dao(;ebIa7at>U2bld_#;ZDd}DN6y7XISOVrQC8yK6F@lBwF
z)~Xp}8v3)0q3J}gm2;b-eD>~Y0H<$I#!qW7q<J{TKKNtEr3{HmqG0lyX&cw`7YdM7
ztO2~V=z?Y&wvW;a3hzn_H<^RR{lh*qZ`?gYqR8q`l|ho+Ef`{-Y-OD(()Ej=&n<H{
zfc2*SMpsG`DlJXUh-zEj+<R{c%nI6~?m~HPt<dEcgxLAXxD&Itk-~kcA&!f@DfbkG
zTd34x30=Cl7nt}`Di|AsH=gZ{*~<QOcYBUdSNLMwP^G+ow}QhO`R4a-Ujx?fOBqA`
z`_hpS&+<XLry|bEa(6TcJMmU-<sZuCgSj1X!l`9gjYhsR%aZZ$Cvmv!G0ycZID~lx
zDOW)*1kDgh84KljG9o<)!4e5ifXK7GGU>yDPU~O#oiO?0l_kdwu=Ec6L+QFhooZQT
zPih!}XiD1C`0>JDuX8(R<x*<}DM<9>>W9{KcnJ3=M9~P1<{i1Nl9dApGU(P4+b_gI
zA9;+NEY7Ede7PkKn7Ts5e#}DU?BhLR7~!!NS{hqV+=gO6kUb#n+e1Nr2Ob)t#vHkY
z-92!+rZn5>iK=!RZJYfw`>I4gsvrdP(Cg$m{7dZ6XH*$sxFUwHE3`;HElnRsy}Ue{
zgHy143AN6g*0$~pYv&bBidDFzms3)nm@_G;&!KX&f$dR0`Y}@Hp+uM+A4&4QH(EX!
z9Oyowk1@sqoXbZ{i{TLWM9cNGIE0Qk5TIht^lPySS}xs{&_xxog7LtDNgCingWOi~
z^p(hkDnEMfBmiA0pLya8C&rUij^`q3=qH$IvT4=Y+>U6tay;^ESvefGG1OFx1u)Qd
zERRCRRA*M&Gm9A-7haFN${cQCcSYEL6{$sUo3=CAQ{W;;^bN9Y`u1sTqG-QPrcc4$
zKO$=VR+{{e3pM-4isB=LL*+!0*Gxr%HABF9TYK4O^2URz+zQQ$@{NA*rS;5T*FAQ3
z-b4?$1YtV#w0(yR5DE-B({mm1|1s?mINN<e!+cG7aLb4`S_w>%_!(ovohS_Mucp?y
znorlUw^*S?fKLvWF_5FnUet#6X<n-C^{naV=V`MsNh~57+P1#?crJMwd|aenYMXUi
zUt{|D)Ev1lKr`179k_mGF9r`}sZ)M(LE-%4j)0RSD3<WnQ$ApXFrAp{x8dSL^bff{
z{87RX&y}Gq1=Aeu-uzczk^#E7zOvDSIX7ViY3P?wj;hP^ihuIU%FmO){FE}gwJ`=^
zfh5{2q91{wYK_y2ny0wZjPnU&Mwa`v2#8Gq<icyzz@F%hf6!o{iP|_>;1Y4fRFF&a
z%|N=bx_r5d```d6m#uI3iv*2S;Q$LoI7t;hS{sam!vYmHDk1C%sn(ZfS^P`H*~++i
zd$^oOs7Mb6RhuvQ<@w&Zx-{~OgLbpwJ{8}Me*?*(yi&p6v^#H08l6nX9HiPNLyo;b
zZDElPvVz1N(*U_Cz<XN9XGCM)(>>MJ+twViihv}{c8YQ`xka7v>F5`Rr~FzYmLDHo
zwl)j+5fH-3=K#z(9)bXu`Wvj5UDOtLywrMJ^h?<I=JWBw__yx#BByZp=19PJKHq(%
zdAqLDA!<kc-mPIfTIw>d2Ar7np@Q~Il}2Wsv$us`x6M=0+$%9zHaMuff0_TOR-Nt(
z#7Ay9^0G%GoYXZ8*8SYE0q!%sSSw#`(n-*Dr)o-Qc^wvEG75ysPI!+ct>u*_{}TE$
zA9VJ7-sVwsXd=buc!|-n&3<aOG4rkB!U<3g>OT7i@A1z4l`T8PC*9h4IfF%MuhDUI
zToX=^p~AYP(4#ikaCx&NhhuEM7Qgg0h7eK~rL;XHTR8*RB`PtvBIk<IXR76)s1Ho!
zUU+~%e|(7e7i@#uNeJGz!j=J^j|(3ud``mt2&p39oR5b_HFZ|#j>G{8L^D4*{ikz#
z;OYKwfUTrIG5z8|R^aWbg2$4M@%19dpg%yf*X^IGLxVA82BFvKiuE%>&!Ivi{i_WG
zZ~aykD?dYLy@0Byz@(hij*LlmScKHeWM5Sv0&LSC6tFNl&K?y(KegJ4NT`MP$IK=B
z%K=-7^LATR7frMUuJ$LGTf%wb`O7IG=C3V!;&JX8-;@*5ew`@0nq|S9<BIsqGYLAy
zF34YhMLJBu*Dzc1Q=gqkCS5U+2;M${ldwoc-R48Gk#<@CCGfpoY^GB(`Pih~3qIVN
z>U0(|lOSZs;8Vlh=X%=?q&g3#@*epoor>Cv8B}RFQ|N5_GpN(T^*OnfW!l#dd3B7Z
zcCr=?0w*XFJ^n+``0R4+c%oogUGugE)dL;D9Z%_4t6RSwVEyZIGR;jW39(MOZ=qh*
zZ5TohhYKczVi5k3J?6#c5Ow56-^pp&=<6t>4#VGFNRDyTm?K7!|14D=mJNPnA@|a#
zo_`>}`{~D*y}yytM=DNa-_wAX*7v=H0i#x8bfrZ$S*u^x>9{pu?$!qGE_`oufCsM~
zc_IjsiAnc^_#<S*ay$PeF8kc2LsR<LXb1bGY?gepq8T-@M50t2L*t^S_wZZz62rpE
zRg~BGTlf!OwEc~@26QF*g8Ibj{Otow0Y(mn%&}zQS~t$w1g-Gj+RJ5bMI#!_>bHtk
zi_*15oP7STk?kfTJX)ha)WEn^#jiirz%=*WR1F#Z-yZ{BiGHl^p&B&AmJHpc;H&AT
ziu>A8e1%fBIA-*Y_<Ck{4deQy=+yM`Z@2X)ho5#)wPtqZm!7!s^SNC392KX~(<E|k
z{vaErCcI7yn#j<njwxqGaDfL9NiQ<@@>$Cle8k%YaUbu<wWA#?uVV%d8DP^y>2XP6
zZ5Fsfyeh5m&}sbGnf$X@?C`7|=O+QVlc3Ho&=53^Tn5>pSgNOQ$k-Q1IXx^8^XfZ^
z028_q9cPzhh1foLeVX3$^r_xeCc8A|0Q$9SV7)L0JLpddkx(mm#5cLLgeHBEcq`I4
zD(pNI+VrN!8kv(Zt3}oeU3cQM-b8v5ez`pR3q9t>EP;=-k%<?dOD(2LZQaH5OYL55
z!&yw1O|!=jqu!y&(D>^cJYk<bm?0_JxX76U!-Ut`pXDw&ms?29DrxM&rGcEBPilc~
z9~a|^(9YhN^!O9gmE=OI4XSo^s|d+EEU1(U9}G~#vhhWY;B6q6Xe(9U@D9Boo`?w9
zi(7uYaVlwJ`L1bjg^ojuDyJAa&DcO4dEwtQcQirAZ=4m>oT#qwj9A!W3qVRvZ?10e
zqr|_77VwUD|7%7I_kL_OeZ&bqF!>HgGYLo09RK&5#^1lywRXz`e?Cz-9SOVZBB0{Z
zx1FYs5Q2zQp3>qp;09Sv^+COGRpu`2ga&o<m6_+>bX3o4I9l`4xx^}o64ob>&PrvL
z%DZ%1Wh#7CJY~VMI&{uxlA&WB@wWiftZq_K<p4bC{t>5NPlt(G3eS%Nt}L{|I<}UP
z^}+-9VL9ppv7LMX)cAm(R0>|U!z1mK-bw?J&Fz$4F?dC?6`r=vvBAz!Tj4}bD|jJw
z`1m`V>~Cr>pYi*m<R19_hAdbj1+bLT{-7(#n7d7SC19OUb`3{CZ4vbu7E_kj`Pteq
zKG**H1adaeUH^29#G`zZyFGJiWU@oUQaqP&A#`VYX7~<0OS&6Ga>+&JW0lE)*g?f{
zfE~?q8bIPu9m}KjKg$+TfybKNZM}EDHZ<K<fV0?BkYmL&@O)|!r)ffBy!!<)Qa83H
z*!y>T)<asbL$Sb#bDgW(?{G#+mj~f+%b~dG>rr};w{!GUtY1;=xuXN+YW+s^8V?AQ
z^===DLNu3|E{6wv(|OH;kX^rKi;o0tWK7yjd!-haF_@ZqGP8(Bi1+IDI;*!ehD7jC
z$xYYNa&$O-wh$!9XRv>^c1hYbR+O>kcJF%q>3cCOd7mv0bI@|-l2x4g(4vk*5@PQ1
zFV&_%9#Tx2R244x+M!sgH9QC^j;2+Os*}<hYuL_JwC}MnNL%01r9WCnBevJLOm5E8
z=WS$YZNKJZ+S|K1VdT7C>Q`s9*1N!-omjbs^^AkVB(t7axY<I;eo}S+bY~)A^Tm49
z7OI^c@hu{eI7+N;^pFpZK>Fs7(JN4ybx)aVP*W)1smjE0jeBTGk-l(C6S%9e=_HQ;
zk1NLb^9!mrF#<e($9bkNa9x$$N|+zs$*VN`JtwREI);*1^OF-(Sci9Q6xFN4j8T5@
zmgqmQ2WW)sf0>t_Uy9NN>SNusA|(iXy5*sFcdXDR3SF}<+bTB_^UCB`B!A2bE6vPb
z^mf*I*i~#;k(Vw-z>|QOIZE`hK<eMo&1Y}I;ael!g9E=fFaUu>Wv&No?=F7ebQr6X
zcn=r>23r<DjL`MZ5x5rg5W(T!@LAID?+P5QjD^m>KR(@2^m2X@h=RNaA(5=U$sZ%Z
zJIz_rNT*P-jpcT=XcsP{5>U<AGH&oIRxC;%(|KVRw+bGJX+<t3AlH!=)cmwf9Uihy
z7E)@Hg;+0mfH=;zikomNKw!+8656Q1*ev*4=9tPs45f@^RJnXlZi3goo$5MrXGp{e
zga(v-&6NMrnT1??SxN3$N^aeU=!Nl_PmMKp?5o0gFr*mN?L9|W$qu09EQfadUyv0I
zth@?|A+k#o9-xMkbSlC@B)GU*pIsxr3UQ+Pi+Z<!4bCSiPzu{|gS#UaRiuC`fxK3d
zs^o7(+EQc_{Ul`8H7DS?P&k7B67=3Fnyr>N<}eKFJ;T&)oN={`*}MC5qsPBFDwz}E
z=LPB>`;mq;f#lt!J2#j%3S43EF(fF>(G=tw|IF7d`xy1NeVs+=%$@Ya!A6%1X9&3V
zf%*I?J!(`hzo0DnWJmOY-UTb{lC_b{D=ceK>n|=lXK$-;i!2+6=I-jbjMFzEtWe;I
z=`6}&0F&U!PcG`a$S0GD`Ep8d3n|Pcu5`s6cFaeetTAJf@-mc&6HYjDV|fd{iM%^9
zZW+$CBXJm4+~)4Cu`Fn+;#dy6lcG~-{Kq|Dveqw^hhLQ-GqUZEg1TE;{w?gAx7hqR
zd168e#u0t+lv{HO1yL7hE|d-NI-hV=*6HLV`VLOMU=vRHyRPZ>iRLg7v(#2*gVGOB
z{wg0Ws#G4Aa5sg`O&9UGecf2YUh!8`tMc_ed#V{7(=uh)3C_N{-`H<4n4kKCI+5`M
z(#-KLf_RJ)j&oM4=MfwTmX8`tmW_9#74BQ3F4Xu?Q-)Kr?;71UAA^05?;IRRAdD=h
zUN3bZ#?Yy!9x&vfaD=1)oe6jUA)bOT*bO7{67=9uJuEZ+^m*nn-;Rq8ag>){tGFT2
zPl9czw0QfaRnpD-Od(S*>#0}X6Nex{jOgv_7mvs2{pE}>($g->^4y8I(YC`;OKKgd
z+FGf_bFDw+6h2RAt9`?x!D?>s4{Oo4X__{b8fx-Y=@{gcyGneh8d3$P`T*+PI3bh-
z-T{nS=Y}mn9p(2`MO8KJpwEnS=`&i-dt^D0c$5QyWS{`LA`nS$a~J9O&!H>Pcq_f?
zWKLZJ(N;wEvvtRm^#%HdCxQ8kLw{)DQ)i3PfshqI98G40K61D5)+8_@ml{btbFi6;
zF(Z)AG6h(#!V0-jqGlfrHcVImi~tq;o?V489zY=t3*9-OAEWky`Bpo$a*ecKz3<ne
zr9-z1>W%?`nl;=eaw3~Fp8Lr?qDM6)yxrt8q_+RT=^K}Ga0s^r5=Pz)I_{qHpc^-z
ze;(>7Yv6NohD>9Pv<B=|V|ZMqx10&zP;$1x_<aLR2CW#}AAJet+Yc2xJ`}ieY3@4l
z-rWOnpv_ACLxzqORBE2c`PqUSM#lqvI3O=zvfq;&5a01^pu+^*1hFKbX@RfFFlVM+
zt((|{yno%BBUYB+IN}NQPA3V34ozs{TCOGwMD1*%pyi5{S{m;R<`Sqmy-N?Ci?^zL
zgRGy;XRfbg^=x&yL)z>DTzjUaGsHMwZWaifhv?(+OTKmWRh^VDfO|^yu6WqICG`>S
zzU=cI=A3v6^7nWhGfM*a@M%c<ahed(#`>Fj<E>HVJeB^-snxUg-s(pm0K6aMwU^mF
z<vkZC<L7gS9X*)Fio<!}#7jt*k_V%JKM6XHx=f$_&YGB|V`oQ~laJSlMY%^;@vyTn
zGl~DFHx>t)s_gf0amee98#<2)3IRI_)V2T%dD(<eyTOiMm(3NbF}XZ`B%$<()$G9x
z1&}HZHAVYhi$jq(yfXA*_F@Y74L|jwouGBZ?R!Z@97KWbKF;14ZO@z-sP@u0tCsdN
zIM~We^)tm3$|LK$EVy~?r5u;?=Q!plRvDNmKFDyyXSlMmt*|CVcj8<#Uz1Jor20a7
z;-Dw>@$p%A>=tyIeiH+rFI;$aLA5b;%<?cFoWJOj__8OT0-m>(OX@RLN_pMJRZB9F
zx)YyEy^nGE-U;Eyo*LJci=&<TO?TW{!uX<pDAQ)m+0)K8b~@ArOR{$0GqQ7Z+}g6<
zTy3QwRryBBE!%}o?U14Ky$@}^-8Cp9-qsVK68fLCVITnfOr=qsPO_oj(PTh(JUyb#
z(=}hNl;<CWNUX`N@RWQj;HC82>oImY`IA+V2IQEQW=@AZoK<%@y@(Es)~EK_7$QTz
z_OONm<eEE9(55X{L9KGMs>|<@B19lM4_Z83DnCR<ZVJE9<J7H7anoO38{~8v`zHR7
zr{6aGx7+2L1H`$U1rBb~n2!(tHFLnfyZwkx)(Eb*rwSgrq!Kr!<T^Peo{Xuc9oryD
z%Cs;(a@qQ(q=}}$^=#?PfqNe1U8{V7b!0emue{9NJr#nFDC_J9v9&&_MT}$jNpREd
zm?mj0wvBS3xNM#sO|5^U5FiktD(0zoH5cveo*Of#*wB|Fn{Z0Qx1uCcoTrTA^UUnt
z_DJM%51fwOOYbvaYi$hd%BLKmrH6Z4f&5vjh_x0u(Xmz^GzhP4-h#K0s|Y!}J7(Vu
zCOcRb7q;!Cfoc=UJkrTgN8Zur@1h1Z8+%FF>mIp7Q_RRA6NGhGbLfR$c0twL`F=uT
zVbvT}YRO5`31$L%xt{n%a-WrW+XVtLu9&Rn2fcLEfQKHGQxFbPus@9jyBd3=W#PhL
z=;lp?K-ktx%~(M5QbziZX$UHoR~a*Kj6+-0_wtPe0u?0X7N@a2ZnX4dG2o(IRJ@d`
z&NezBmg2<mE)Pd)OrVuNAnKQQ?iODrFyc%F3-%t$DV@S{Nwxp<q<!-!dBOo{9Ra2h
z1i%8Hiz`-vzA8e{5B;O^S@A-AB++1cUhrQfWo11kY_Z2j>XjD0xX5WEvsvqKcv(FU
zA=$@!7t)1k=vs-0?u`!1>KG%s+?lFKdJIWwHX~|+`cWg5;0vKCFapA{<PR;>C@T<D
z82E-T@X_o#90o^7pj}DdG5X%zL#|K>u^sss6HcnPpfn5sIo2%VujBtwB6Bt8+)A$;
zYVkyMcl3_1;=YWi2g^0Yx#7-fX<O}B1d#@$WqE4A^Y}fign?S}GN;}UMF)j-k9^D^
zt)mP46LrfyKCAPPIM?wq{@j_ATPbeIgGjZrQ&G0+7Pvr(kB{HKd2|lDH&KwQ1;Use
z1jN&^oB{0|=suKFs}3zNQ||O`g@PXS=5IUXWts$sfrSwicgif0QN+r(tY8~DP%+ZQ
z@fc@Z<Tl%iTrA;4aCisX7tc-D%X86eYiv0eF3TjVK&8Jfa+=M*^|x#mqT5Wn8rf7=
zmW$UuWTW4i2<Cdj#^13^*NOj_6&L@p!+R=ONHXfpcG1ND$vq%j-b}tw3GlH1yN+K9
z9xof3JucE*Hlt{=n7I7D*$#USW1w|_`Pz6#noIhvwLhyGxHmp|mlOZT{T$$mR+ikF
zhu=I=7i&oSUSLV7m@N~h_9yMruNQR7^9mhMG5mm|p(KThzk<7CWBSG&vGI>@e*-UE
zW^3{u%OWs0fiE74j(TCZB-JWB%DFAj+X?q0GTAep4JY5#W#XmU+?|BzVI1#lIs!7`
z_a<+fO{d9wvzvk_X`j;ic|}78(&|G93rP-Ep}X`hvp`xrf=gs2?O3}wZA2BdzT#Hk
zc@1+i4|zS<2sLL)k@o^AC#O*&+vlE;uWSyfSd6OMjo~$hFcr<{<=HGUIbuMdXEc{u
z==L4&G4HB5>g4=l@f&Gf({l*-LlDX#PC)a}%fcBH52gk+djenF9DQ~N7kqK6#6d%s
zaQH3KcZ?R?L(WaA=F@BF-wq^D@v+f<MORaqyUzpZ;Zb7bq+FkLq`z+oxfFK`7LsTD
zWan8>Zwv64-as10I046MY~i|BJ^#7F1n4e~wjIhP(agCh)E_ufaA6(&e5esi6Td8%
z@oQ)1OysTAMfFDMfN+C~K-Ez`n~$L2!=6tbPh^+ZSBKZ7cp$PAfh#K8a2*bG)gpSl
zkN7H*=+_Q{vF@kf;*@e^-2H9GxlF5KKhaRDWq&<|yc4?LZ>zgk{gW|9xf%XDToICe
z){bA0Zh2+EK1Jr;epoOCLT%B;ogY}Q*OESSs3mQ42`X-ep=Wh=P7y5>`{V#33bx>7
ztylXBb>>+S2o#e4cMA0KL_@g%M#IOKEnz@G=9JzNy3<!gTpo^6uudCKA7cMCZkP2m
z(IJ_H?Zs-`9GGAC=D*V9$I%2oiK*Y(%*^YG(uxow<QlkH$j?k!-lr}pV@0@3<6Pb1
zN<f}qpXtO`8Ng+2cx`-)#7gTB#D=bxr6u;?rrXp1OMeUsIVI*3n+RUN3Jy7~tuu!^
zM2b~w^)20zWL}Ig@mPiLve6S;@10pJax=XuR{CYM8d*Kv=*CKC3UL708Zs@cXM1Pm
zVW@dlp<qb!!$?ac`a*SR)FM8TmODD9qaAg_;aduPS$>AO|CC)59d$u!IJ#2VsOVNF
zs~P0=3^GX<EujtPO9n;Lp6&XA&>ft`m1K`5#tT>BBeBv9*2U^;@S^s?d?hFGk`&QT
z*`Uw2l;UfxdR5I!1nUcicVCL=o2d)61f%VcR7B?w>=~C5L{9pD7t|^x*JqYDJOWl$
z{XbSF@oYDU$BwIT?JstNClaSh(st^dy00y}SQ&DvF_ienhP#L0V*2+Sd8`J=Cklx_
zgrIpO@lcR3WJ$8%9XcY4?yYVu`1SNtHsckR3P?4Y(L=FUGtHeTa+leXeC#&a%$Dww
zPYRNfu_4lG%5;BwxpUi!;H09W%CuQ)Yk4|tM!;n&=zTF6N$PYM=Mz;?!Gwi{ZMj{t
zkV<yc-w+G#?gVn(9sNY!Qo_Pe-9d<3-N*uD#KiyXG8PtoMdE*(+HL{F4_k%#W0sI2
z)CD~U2yo#$UDlpr$f0>D_1*@eF2UVEvPJ*rB8T>PYMHIXBr2OJHhx@RrjOV4c?fYw
zH!`Pk_Zf6CSfnsF)pIr&;11$n)8B$*rhHUtTECWG?V~*s-zL9(AGH9&@R%mcA2(o^
zH9O!TSUevc0f~z1(@FhbK%fG;J0&M0+s=7WE!Q3$h$j8ZVTFsO<%p`|{lZ?}dW)OF
zX_Kc~9yD8~13F>PlTPW|%kY-b)Wjd>yTj*kKGwZE1p@+?4~S5+R`uXM0+*FZS8E*|
z9Y=03&Q5}#M2$+84NRg)uAM<tXMvpERg-98?eLp#Q<19{8>t_3bdfCC3hgK4+B!S*
z;#KV*5k`zgPP9}7e*=59a~w4%eMLlUx)5n2vl5^&dlrwXpp->KK7WKp+HSqW<;GY(
zan8!has~7O$prLG|8I#3z*LZskhmUK_TLZdyngs@WJLb&-#?GrMH5X=r*4M>U_S`G
z?)8Az2J4U+M+$R_Y{|a1va+y}QXINc*6e5K-iyHry!Xh-<<2|L5r2d18kZ;t3UPbt
z9LA$|u%Y;)90ADE(j}>|+E`I<N$8&)Qv7a&L_fv}74<qf$&IQ3V=L<6PH#|Mp3;w8
z>+x6(I!q3$rJe@6Eg4O@Qsb2dyArkPyhVe#618bSlmSS4*iOCg&-LKo;F6CGn6L*1
z2DlDV-|qVbU=R>;098WEMIYX;QhMZSSwLXn-#KxQfq^l5_=NF6*J@C2hz<h*QL4Yx
z^9>CxO)S1PNC!T__Aa5k!5ZwK*}4m<4Spe%44YFhE$jJ-Cd>K4o)hfdyPw2&ji?h`
zes*_U%RlT5PjR8Q>IM)xrliocuYuiqqB~DXQ}RN1Q#E^ok`fXXi<SXFK^%*OxVRF=
z#>UnC=;-Kd&E7wL{Mg#-udl5^?(j$E7khhsfrWw5y*ZqH7x@61i>uuf8x9aSKf@~-
z5RcScJZ+HzkT9Y=a%8)+N27t?87{-*B@<ZTfa8Tl^~$hPjAq>WK+tDa5?2&Y1iph^
zf_In;V4q<yxIBN%IBT^o>avL)2vu|Dmh7}%g_o<AiUFQ=1@v+Cd+AiP5T5D0pM<zK
zT_hk?@>eO|DQiB}U#c;4bxnPS8Sn1SUOWMY#~?pyBtL~4Lna`Gisv$Tht}hNhwr{Q
zK)yq3{Dmmr_i#UiLT(w}UsMN(u=-95`VB|3r)uIimmcC~=%J27cd<;y<m*vt`7s1J
z*DFdsUa=IUAV#v}W`|VIltC%W$)Q+VTccxQax7~9`X%=3*H!tS;K0B%`?sw(Izaow
z%iA)@Z)RpjZ#+0K&|zL16CW?EpfI(#5{XjE!g}Xo{X4BI7j^4_{LCeH>$l8+Wqn17
zE5UFm9_C~lr9Sg#D*-_dhMsYUudB(}@6wo+yD5WM@Ni+Jp@MpSDxe?%lHeF^A170L
ze6Zvnv;k}h5sVn`3=sDlTpn+5Ngc`l-BplM?Se1vxm%&Ez?9=viplx-(uBh>ncXf8
zGxZc6vxLJM-d>+l_>2es5Wg#m1`RI({ScGk01CwB<|Yh0ya6CDihu&ZEe0TK+e!zW
znlTRp(kc1k+0iyNDj|(!E&QR=%@fVl6B35Vq=6c%WieO=-WOlN)UFUWrQ#@0-yd7U
zzt?{NQ8Bs7JfinF@h4Zr+~Bv^U&lAwDWMCBwHaUggOxPuYF(`-y_}P9^P*gfZZvVO
zkX{MF1r^&Do^$>)i?njt#A7B*V9y}5)A;am5WaPj(1ccSw_g67x=i%LS2cEv!4mZm
ztw%82TC}N5v%n?jdQ!CUATI@*Nf*NZGvek+{aT+XoBc3-J%labFTdd64Az)UL%8n$
z3&v(QM}K>qZ*Ms7f`7POwpnbjBPH^@Munh>4-F>rN@{;Ou^}TPW2=+?{rk5m-4bx5
zyPKSjuvv`}+S=NHV;&?*=oWBP-cIQ4{dU`CM2zd1SR0)JLfDxqXglT{q>48M#m|}V
zZZqo3ypll76datbg%SI{h+ju!r>J6AHd%LI<0Ii2YoIFcrU8H?XMl^SnJw`c#jc51
zD%1msGoFWscDJ%%y~jhFM+IrFWLtN1sL$%N^ryifJE4O|w0%_R66>#a{QlSkj}Tmk
z9nLv==*89yzv`*%BsXQbb1L^hXRY%K3#@=-%4O9pI6NEyLL`b%+R~CP!}C^c>y_1b
zWPQ;j!^-mb;qj=Pb9vz^JBlB0!hRdw!B?HoM1PW!U^)P)W8>W_XmDht$C3jL3#%WI
zbEN}l=iYaflY<;@3XeNu*>aCFG$L}kc9{c+g~CFw;kGs!<epoDG9At$QzYgW(1s5S
z`b@ulR|A{Fg}3Wg8PgKf55wMoQqa4FEF;}_ciKku430F&3nnMPF4(|!M;9DHT5l96
z^(TI>@@@Sj`oh4(7})g9=ZL{~#^_1TNd+J%>Mo;R6Yb>d`Jb)snk~y$vH@q4bsF+(
z<=%pQHQ-T-WB`QFwzTTn0F|x4UULrw(KEAq3TCT<@+akSv-GMo_W65dNMwA^8ZF>#
zYR<j$m*`-o#c@yHYv|`lj8<!K=aIhB5^?4M63tqlAdV>gLY3{WIZi3(`cvM$BWEB(
z{|yI_@M&C3x>mSP#iGw(T%6A(#zm3}Rl7gl>i(L5aL08=*+mU+UTVEy+#7l{uL}QW
z$*|TN8sjwc%OVBcbTeS<D%brU!9>4@wLlrSPIbiCY=h^-%L-Aw=_&H-steV>bn*Kp
z=zl8gBgd6Ime{4a`<BZcE!c-%xy5xBfBc39#Q+{+>bi5DnKuVo*7Au*tyUC}?DUvD
zSRjTY41FDC48+zV<4;D5f*o~+znSxoOPNzNO_i?gbrKPfF$tyyLU7q=OYE>wJw4}B
zctgDSBM+j22vRj~La?LRy+!t9QR^F1sL`ioJ^WoK-DL0tUNQXtjjK?QpDw&bwDDaU
z(;Ixz1Z=%2JLe1n%)X?EE^bKM#U~K99Ou|ZrG6czg3;m+`I8S4;q3<fS+<*z`O3i)
zl+V!Dr~l%TtM6Y2x_=#yu_qotwtqQKh9NYNGjsRXfGIM_{sk!4ECabpcsgpZrLO*=
zwbgw6FEWv+sm<tL5%aUbzq57^`Xbo~49;aTsf`*AGnSc194%JP#0%!d6%`1tQ@0Oy
zvn*cezRbEo*O0mHIi!h#j}ln@D0WTIegB(ME?dvyVVsWf@q4FXDcbR*KiP|$<JD<c
zI|rOgt?E|0Xc$=RFL`iwAN_Hux=`VcSgZlwp2IiP|G~>yrCKQ28xd{e6{Y%|<)?14
zfM})Wn@ufcw;y!O=~{|whAF~n8xZn2*DoAVv&2`_AAW`OkZ3fE?=l+)U-%vR{WcLl
zCkUL?GgcX^#xGqivaE2}F1w|ebU_CWHtdCzP(JMUQu~h`K%A|pBlXXW5xQ8Fx$^|i
zwrWx=7f=s1Ux%ZN?TT43h#p-YY|W#krErR9%%`HzXsVWid;GdE=%_R&8%h(2L-c$<
zip{xD_OSj2R!6C5gA3o8u1=wd9z+GeborCiAof#kR3d2@)xKvuojcu7>ENX37p9xr
zv9~p+*46~A`1Y#e%lSSly>veDnJD6^W=^jqYqI-D5_tjK;H~oYf)7VO@DteOp5Pa%
z<KWA`;`}rB4F`^C!WYf=eA9S7Z_iK+VoUW~JD_sS>V`6Vd62x*{m>G$wUzE8VrA;l
zV(2iVpy8clKdla=4h%}hmAI|Lx*TK0k=!vbtSuQ*I)^r+fHd#F8grtUYXj_)dFXf$
zT!C!Osx8-HXF^oA7i|)zpBu66NrmO*!1#Y>W4P;zh<IQ+_=m%rOjHLipl|y}g^2qZ
z>c&X!J1#80-6!|^4d>&Fm|5%W8HKUe<n9vM#jc<#s}-C|x#(2yR7NMg?J&nX9Ff-U
z9>#Cp<mJ}EB!5$-15|Ck++_bgKlIPw_z*F)g=`a~qG--9SZ9a!H$JSOYPWv*nf8B8
zq*W^Pcogqr-sMgw`v}dmAYdX~X|7u6-Tt4W&Be&N0K|L~(w<cMUkXk^r8(w*Qg8$@
zX2H~OtrV%W2CE`_gkt~9hy)DzLTl05pyuUyXFtbW@1Y*C{?UyhbhUT}xD3l%_nF&l
zF1qE8XV6a@x??MQt^b_>UunxaY|G5)O2z9BKtZ-~?ZLMC&a8RAt>)YZWjetN<tl91
za^Z3}Yg8AqS!GRdCBj`jIuGjJHN;+Z5sCyR-{k64*9j3WW<*$Po008{qHfHFeUD=5
zxI*@<r0Hk^w7TRoqaQ%8YFa=4hcPjg<#ZwH+G?dZSDuqH-hBa}HZga^7CqJnUQv{+
zl;54%0@|lwx#AiKzzRp|^#3PV6w({jJl>l@)s)WogA99(E8N-|nc<M0(=o%2t4nhN
z*={KZ?Y}3y&J5&QaAqJQdRcyTB!qQW;YhXn8+|ij2?cbc0Bs>rQ;&%CiotWUQuWFR
zXiKxE;cs9J4F_}|v10(-={t5J#F)#S60*|tVa2LlQI0iC{m54_{pj9<THsEs?6(`9
zO@zRM6X^b6z~EO}iSTz-^isU<erIA`tqRNy!5eu~uN!Md<m9_Q9joa-P199ir8&0z
z#~IK}t`f@PjE}<pbn|}OqocQeIlL15onSVL%ktromFjB*VH@+k#fz<lCPWiqEPDpc
zl}c!MyP`t<Z-GdUV<zFr{<AM4fvdrA7#5Okx}FDb=uK!F*{~Gi-h|9eke}RpHg=ph
zN9CCO+4J?#hk1$Uih*P?2XGhO=KUDW3wx6=@<ep8aaRXS%+XD@2NP}A0oIG~<ArmS
za49#lcmArjOoS0puG28Ht2D&|D`XgWKz319&Tuu~(Qz^$8Cr0&!-1E^O29TuDA)WR
zw6sy7sBHJC-N)7Jm^z@iLf^z_P(%dE<d3nKp2d!JE-CC}t}>ue)^g73_5FWja_qS9
zx93lG`;Yr8Ty)>a?DCFv)jlMU;}fCU7m#)yeNiIp{*F;3M)SX(B67WSvdVc%(QrP_
zZgMkd$5g=&9z%vaz(OH=x2(Z}i_wD%PqNKGd9WXFASRtk20Mkm!`vPL5@0>mFM_E#
zbLM(R8<6^*AH<mhXaPZ8qH+INaBzE<elhv%+lP0sEdq#}(Qh~F79n`o?nnY-VTd7E
ziZM5K@+gOz+ku#f5?~}y;AmNtt83|kwY^Y<+;M>W98i8MKQki*r|EUpQxga~lDx~T
zKSf3<wEl6f>=F+^!35C<=6MFVQe-JV0g8RcFaI?_Qo?e`Y)T^T1Wz`){WqWbqJ1<a
z8VpjuGdb?ieKH^o)g}Jy`NXT#adM$bOCSuB=u%@%>oh0v1#$0vp#S<In@co~)=?c?
z?|3!M5l%%3RZ~mo7^?c@MgPlR<s?vx{w<bNM)qB`J&@9jl_}qBXRw0)e#|e84aa+T
zE9`{p;Q^5+H{}1SwokK)+JY*HyW=8B0*0&gja+uTNLstjCqDsG<ofpBh(&<l1*0@2
zfjSxu_+r5D6UmV%gh;?jsqL4I<M&Aqwp4mz)vCZ_1x1;-*ikiy#j7Psz(4}ngSuJ?
z<%|`ePP+!*t8maBchB9g)fpMWWZvcK3^vxU`hYUt^O@mYuCD*SOaZHlt=M7Up^t-?
zLv<(;DQWd6DXr<(9klPl)FdFyz(q{!yt{k+wP!jJl^9^yf$bP(DeG576U^ig0R{qi
zVe)|3$EPu!%B}UmRY1cIlS|K-iq!FY0)#F@k_r%tf?S2_#eo=5Pa(5VU&_N&xFb;*
zN{5nVbIB8_&b$h8FUm}V-dj~B){R51kDbobqzb`Qwp{}fSI*B+L*7xFhVN7D36+|)
zq#h>L#*!`&%>)pKts3p{mwT=wCgYSq!}h@vI!QV17+aS2w%giE9C$uF%{uvjdblTf
zYIL8y?fN=CQCLXvzmEaqh*eA!1@1+DTpQq4+L&tNo%{CElr;Q4=Lldnjvq4cpOG+V
ztfSh2#}sU+p|L;|HFpp{kLU&V+@Dkis0a8hv)=zxd3#<t26ZCpV=ihHegq2KBgYfg
z3=R8Fe`|SQk>8DVQvBIs{sWsiC!uUwCLnXwT*|vl!!E78W=kyx#JWPjo@T`+Wz>h+
zS4UGbzx-zz8tOHe$ecu*PCx%wAuQ-f@>XvHm2Q2y63?aZ-;8XkygN@TSjp~<0ehna
zB5stlfyCfB{hH*)#^7h2N)!o}WqS0P6N(8^B*xkdV8z~x7=Fv_rgR@oHiK9=3;`k{
zz}Ad5l>dXS&;S^Y5_JqnGZ1tC^*+-M?={{j+7ElTKuKDrle{?<8RQq3_kjQih>{jg
z0PPTY+M#2S*{;L*-vZVpj(2ID{3zP^05l2&tU`#A&1$cF0pHm=vRUwb!X@!Wu+N~k
z&z8=3t<TnRH!qs0?+Yymm~zUn3(78z6tY&yfBVXDY*{`+HpBW`Zd@1W9O}Q`ZYF)p
zAse!vW`TKj)q1Aie1zcal~Lvjk&AinMxpqsbwMHFXDUN7jX@QiC~1J8{Sh1$N8;o-
zBgTWptdm(B($_fDjh%kK3uMm4+p+ZC=QV&TKRGI$v={Ay8H?H%Z%Fjzw%`L8=F5jp
z_7d7}D|wB8Kf}RYNmFWvQF!hOxq}tSR;f=q(ZpG4#YRgI3f1AF_Ch5)>OP-psLs1b
zsV{%c>fN%I#U3N2-b%LQdAqA0EG{;^3eUgnnp+&<KGW8gXii#|iB^S~Y%|_rSie10
zjU}{&N*QWX<c^g49vnAy*8av{Sy>4Xficn1osTz1vW;)yIILnaGJVt2v8$~hR-4rp
ziVPlnq;&6Bx32E)i_1%WfcQFIYi}RqH!?EPbOAf<-?%?NKR2AzEf*9Pnq7g8j?GIk
zjg4)LjBizLRWMVp-F#H~@3K#~$9hor*$4q;alh{&iAVs&Il#{~a#+iy>^5>ce;vR6
z+q1pT_T}cE>CDNK1{)t!km{4{Zqq%&Bb3lauAM;k)~zxI$LorDX@c{pD^0L@=%S8t
zPi7|9^GYlFFmXWfQ>iTuCWz1MH4*TrR5@VyqO-QA$oG0DENxfc(G<?<dK(>}IPJT<
zynOXjxppg1fY%tbY~36Il)*6pd<lhY`p8%s58j>I%gwyoUYbi1zb7|9iu}x<X4dQa
zBt@aP#Xqm*LeT7dqTlHU1ymgc?+hn801fNzPMo;`$z=K>ORP!Vh@sg=TP(jf^NIeZ
zhu<$nkKgc^ZQTZVCbm~a;|(q+^9uw>>4$vLLY~Wf=1ags<Ugri^z;!mnofeAW2#F>
z$H1uy4v1?6s{>&gCJsAQQLc7J$E@7eZX2(C85)hbby}?HV{3Ke!cgy*o3I1S#^GF|
zm2f^R*+O<OaLzs~wPw0sjdC__Me;Q4Bxs0<i|YYgnkxu&1=KxpG{3dKz1UF5qz-IF
z3CN76^SSNBtM0G03%u75PB3xb02Im9arL<UL2lwyzARDO{U$t6>y`A)fdT?_d#v~R
z{NQmpNNH$j$mDTvyXtwT)%J3$0kl|pN@xy0ZR-q2l<hOGzgkJqVOl)I6VQ;a$p9pg
zc8Z0Kq<XF?T37wYqt6z1A9i<7*KMU?k%F_|pV(?g)XnV)-xz<fr!18B@TAVURU5RR
zlpw8b1!d3;%2FOy^dOGA6rPKM2uElY-5?W$JyDla`#)BeayPkP*1RtQuRodHBAL$^
zC`y#Rg-&A96Wn?YMkdP3%*-6*|LpG@9v<H32@pK~85u+$KO>l~m;eS1d=sF&=8v65
zjaikIm8IJ>!3*bx5Or}zu{x@5Q+rpDrx3c1zrNtcOZ6yCwL8;)&sK5x8Qx+<7N7vg
zKH}6OQ8s4b5!C_Yfizd<4WAGfr(3-UgJ|_AM#aV!=jRu@cLV{jt*P(SAupJpn3!0a
zf8LZ0sFbU51p~#4Kw=rU9pGce&Ka7^(t~UvoR!%Git4WxoNXc!uroT4hRJ1aHD0X&
z?qv)<UN|;TZfYrpQLcDp0H#SCC>iq~tmtBv6?kC-61fpN-@bj55LM93sVDkgovjEV
zQvCPOT`|@(&_3@>D@dhu=h8a%KhMuC*NPujnxN#Z7TPykWAOt69X%i=1url#P`VBa
z6Y~ou=G-x}o}OO*%G<qwZ2fo!WvfQ1%Fxh|dP`YwFtmGX+hAhxv>7i%LG@gH!}tZ~
zibv!LZQRxD#?8#4lqNd!=`{~L@lr2<VG=NHdWNNCb5BUrBKrb?v2th4#bssRYa1h$
zkDYnKFzNLHhH{jU)o|bs#nVT+Ulo~lZw(DxK(Su(v7)kaFF?rQ-r=wq!T_|n<x)+d
zT}E#hmO=e8z`dGQKcRIkJ}0-Mr}c%|{j<8u@<GXRY8!gQY3}ZHVxAK0jQ_vV$0&i<
zq;Y|_R6fwHEszV*Wy5U*4hTd8z|Ffo9^~WQc>{c5l7Kh=J6||3GP2!^rDF&bxvqG>
zy+9Nw(Yz-eUT^E$nJwn%oR1eeBRE&ZgoHlDQp$eLG#O8qO67{?Ic@O2IhwCFpQSl%
zfAcD9do%}98SiHUA$u0Vc4$><H906Gk-h&GW9X3q#Bt+Ht12Q64@DfOV8LluunTk1
zWa?=BUO`0g?!=1AnnJx_uQGVwp09Fpb1R*WRCdQR*0>6Jd3aI)&)fGBj6^Uruj4%m
zxH_S=HqVERV50Z4+UkB|zOolWnGPgc2-nAW&J5Q(d}n56n7m&-c=`D7?j8<{%K=|+
ze7sO8mCP3MP6Yzxowa~3qjsysfCvELB)@3pUv$j3ZkVKlEOq{sr1f?_$Fvf7m-?dA
zNB;*w9%w)m0E>EL6gOn#C^nt^bk^Q(7jQ71z@X(mRYzOa;0L_2danwVXtcc^jDXh;
z<{gk<SO?ftYbO=EE<jl`79~bJTmB&5s@-2VuTGC&NPRM3x{3Z;xupug$*sW|Sm4qq
z2I5N1sj;C}rP+BVI#-Bhnm8F!ZoiftO7$8l0W=>k$jQ-21?j^%JfB=BP$l;<L9%pB
z$(Z&yP{ty3@O*HzCJn?&4JCnrv={bQWRou8KokHCfRvhjT_<Kh3prUZ+mh-GOX$7d
z#RpJqvDs4<-;O<6ym!R=S5w%MwG!I~yo13j#A?u=`>Kwnuoj&T!U*j7Ozx)YzH#}O
zJc+&UAPXsofg?B~JQEK%VB9_>io`Mpy`|L$r+6b1e@;gP-iQIE8L?ck!FM@2^Z3yA
zv-@~Y<v>b;e3e3oiaLAhMBwbFA35l4-N|!%LzMlNHc>Lw-@1jK_m&KK=+U3=FL&XP
z?Dyc?yzSF@0<lSbJ=wvUG<>@D9R8)<@Rnncrd-%NusdZr^)Vav1|e@ksRSss)r`cT
zZKl1O9{v*$MUjMC{Oqz2KL``gmCF(qO`GW1)BmI*XHjdb{fi|eNKOTVV0}(G<7)Qb
zZsMi*w>hJi{A2pkru3*j|29Z4Zu<vb$M4-e_X5^$SIJJ)Uj1b*IZpE*lT$g>u^@cP
zn@y(i)wPPpi)*mzM?b8W-CJPDkOUlYx3#VP{?iP+UrGUpqG=ZO(Uw*dRGTw3$Hz2C
zmw3F7{`!k*(f#F(JQ_}=h`DO-lIUVqB*ash(%CL(P-5NVLUp6IiETq(9I#$FxG@tJ
z9)O-G_4O;UP|8pdpF~7$fNRDsh%vP6r$~WjYWrM@>XY>DtXC|~OR%W<UY3q7`YJBH
z&58B`#U2j<a%~V$$Kc^+YZcq?b7E#_D!4U1s&mxhX{^1-fsA1bdS(aMgf1g1`X|^3
zbxERjNdTNKMTg5ZasmE$aMBFI5O4UGdc#@jcw^i4vB=-Cghgv|&#__xXFeYxPg9_`
zzgE=ac>|h5nH_DWv$%B5#Z%D%w%<~QO_<p3Ri-|c8-jWnfg^q*1V@7vuc|s}MC9ZY
zAbVTB9c#R5?I@yS_%g6H=whdMjN#$2kM|CHW2(ZBLhf)RGC6`2hEaj5#`$a1bHM&4
zaP{X_wS`U+|CAf{z7(X=ciV7;2pZnLW{`Y!#OQ(=8AuOSIT_oL$D(=<Je7<_^QU4Y
zYsv)7-MD7R2iuj2n;O8q|Be~Pwhv8N(YpICHg_X(K4q-%NPVvmg&@k|OpCgczNPcx
zezb_SdU;kj*uax)VMqoT&kr?T5G%D8W<d7RDxFpaOPKMe!q!a}ufKfpOiT4ydkK}=
z+U`93%;WU9K>TTw>87Xt?@Oe9t&_2=E@df!`*zHzX3|&OzTgPUs*}*!yBfE)F=HdO
z4-mNZ!YhfkX#bj?207bGEvY7V-=k4s4<}Os7xIYhp#?{0Tp)1nFZ^psF_*w`&Bmk8
z>pr!IOuiZ_Gi_(%qP=SM#s9-J_pv*U?@I%D+0KoUMpgMElX@)=ME1`d>5dF~dhOwp
zi+Lt~N3skecMYI;BH}%~40C04faScy9`Y17XfUY;$|V()ZMI)N>eSpnG)<KP2`w(m
zkzHG9q&J*vk>=g^5`b){2mGSJjSA*q5NPFl(LbxDRJQy9rLLA|a{RKv-9OC1|9lUm
z`272OhePM9N?hrIvL4B~IBR1i+s_-?g#d4&z#VD&^F3H3Ip#`=ua2PApT@zSNJKPR
z1~^bNPuKHdq}J7ul{KDgcf8^H>PipL)*TK37x&z(=ieLBY(G|PLJvyTDx&}TVWHN7
z!Ma?Ed{{VkwhsRb)MyfGDgX&((%QxV(2bCP{*;{%-ur*hz)~<NHxcjD7Uc66yN&=#
z)lnD@mXCGh3TF`D8<qb*w%!7$>M!aVMp05aB^8to=>`P>0Rg4EySqaL>5`Q0?(XjH
z?!0t&zUTUXo_XJI=5ut$QRd!XoU_l~YpuODNGeeNJrHN-c_J8#(0Ub+an)o=Zt^hA
zn`|57gK~1z2l`SvBUOU-i{_*YiU?PeTEUWTdw)=LPYkUn?U<dL^FfG3z&rQsc0pX6
zd~g9s%xatho_oNew&9m!da%pP!47z<_N^)RFSx>tZ7i^}|CRowI%z2u9G^(6opM2)
zN<Q}kR9-bX>&WkyXCGAl`xtEZ7cIwO^`MTP`*og*+4ho+PE>c}@Y)9M`fBr=@w=0s
zwc_2FX%bwMG9oDbqZ2GlX+AF=@cVWjw)GLZMX`Rt@=RU`>k)F4*51SC?ae#n<^Yft
z5N;T2u^;^m$vh4*a^y_5Ad<S4lWFXYxIaMnR7(B?;2%uz11apd!7BYj0nT(ZPUW5J
zL&)xaOOJS<+&dbuHcu)p1cZ$@@*QMo`Npwpl6TgXjOFwZFjsHuGGyuX<uo+?KkfC8
zq}YiM`f|yY!#P%hZUg^}mueyb%b&MM+<)%R4Vp(&l5fM+-JzP6pCwA6En@^BHC9h{
zZ%!X{Nfy3*)A=E_P`C0QkfV)^%uLNTX=N-&Ah4BNstcNIV;nR?311U4duIxp{*zL_
zCg%NnhiQ@4BiH91pKN}$=f9O`LY>Yh5ASywkkX;n#UU!iduyxc%*=lO9bnE(OsC5H
z0#4)xu9EQ^)H(A)xm<xdXU_t@!gC7TGXmyho&sVaCGY-BwcjJFry*Hq+ym21l!a=$
zZk(h#+vJ&R9xe=6)Ni?eqFpkq*EZqV2v58N`qy;31SxHkYGlw|bC+=-O|k4XsSUeQ
z0u&sm?(-YAI5a=H+=t{mpESN6u;-rKS!ig(sJ*s-i`6d5Vc}`ey(d|mZBmm|7&U!n
zJALMKx){6+Z}I?xk3Qn7*qCgz@YtJb3HGS*WUa7lGRb4ehheR;dzlf_w%oEU*l$N4
zN<TblcI+}A+l*uFMT{DRuCqtGyWS?wjikm+66Gl`Ub{OkV-UMMgg_BOhQs*+6y9*=
zXt7m@*e81*5ZVB#%VX@?AZ@o^ymxRx@6l9abs?6V7@)B}zJJlyAc(-zX?;@n*Jlr>
z5OlvROvV`$8(Lj;t{l!^H^#)%C63|p58wW*sDQkF?ZRPeqiM8YVgEO`gy{VQEuyBR
z-!H_@Sm>5%je(!GmOiEG@(tOzYTFd=wstupy-u49-G5#Im)1ZI?K*m3^HsIqA6u)W
zqt}?v(}lUcy~vnQ8v=o+kh^F`tqUjr$oS%-W45=DHf2Ulq+s|Bfku<1(|J)Bisscf
zn4l_|&F29uWae1j=x!yB)S!4){H&g1hn=0`IBgA9Pi=8`a0bVj(UIBtiA3vG$%*|X
zqq$AfIN~J&Xl3_4vfa`#HmE4z3qm4UxVFVAWTAC@W<ldP23usb5WVa8Y>7Z%_kbc~
zqCoLOA}450L3~@XuBAMxa$n&B_c8<Y*jgu9Bn6?qZrcuf+p%3&*~=A!Te!N*b`_yG
zT~*vty>U$?Yf5^R82EX)rYkw#C~+AnM!Qn=%UScQA0I<Gec+c7TW-UPf%=;2uT%n}
z^9H3i%u0E|5f`H!6-SqpzWb~~<~o%iiG5;xD4P5D%m;;vCGeJ^OxBz$jBY!r$llgq
z>+Yl(T|~06;Ts@pL4cuipe5|D!dk=ll4jWeMTofi1NmR9q**YgIiiv08^AViHKtk7
zSZ9IQC&+rcy)q56fZ-Voz+o#s2Va!<bP}+Wxw_~FdfiFl({;C+{cWMXMbC|tLJZ8C
zLQpbA{Z2wUl;VM>$XhiZjrI199>)=)y;n_{4UzhprF}k_h0ukU=8soB1h<k|5hz`r
zjh;q-ZDQ9DcKcy;3B#<oCu7J!=j*msrmnvNG?0&WVCYiEM!f`LU9FMpq(_*y9m;2;
zPG@er?VtC^W;IHEr<nz`^iSa27Tveazi@AsLVN{=gnE&=1ny5zd*{YKB>9Hp*+^VH
z+4o#<6FT=xBUpzkRt<0FV^mv<UYXuNmYx7)gswgX1U!^L<5Ax(6+GEPd@{X~Wz)WD
zb!@eEKvZ~u*wVTyFBxt5>>Dv5R%x}3ajKF!oY$`+%X|Kh^CPXERwKdZ7s(4X4|n8f
z6;^zv`9+We+!o<Q4U_vNQLGmq8-~%J>n@ouG-a$TW5=Ua>@EyJkA@DhswmR;-AX`2
zwB(di33TI7Hsbw_ksVBqyonDS3TTR5TFkcozLIy_7J-z9KKuey&-ZhArY^>>z=_9e
zT%XL2DL|&md)RTYRlVzCVR8jp3JOoURo9oV8>b|v^Uk;lp>|P&F6Psg4awFh9NikN
zPsF$4P;y0#@z5oI_Mj0(j5qoA15ZDsEa!N`-7fCqb3PreZ;ij6k0&Xp+e&X9?dRS%
zPAco#?Z{2zm1o{(D-bKHYxXp=bXVTGBnA(pg4JSb+^RuCCm)2=`;p#L4#9eA$bdSX
zILbA*sQB%ul}34T_colC<BXE}y|Jo@`JZA}D!{uI(B3=;3rVEFb$1wYf85Pu7BW*C
zF7W<0I{hubA?l%tV^L7u7XW(NsTkHrj;6Im8BJ=uyA9#mDPN3gJ~>=Mj8wImV>Ss4
z31vRWGh1Bmw8c1#5)1&qh_19@whd6)WeRbo=jGA7f`b*)6!;xq?F-iZw}Ck^=~O}C
zt_EY6j2DgrDt3Z3+$aQ11gGpc(P~Y+Zuw)@+$gfaQQ2?|>1Ab@jT+0^(@_}UeNnqR
zTha3$lBf~$Kuu?Auz`fv)N!RaxJ?wRz>dh802&CScG?^JKg{peau`QKkzp>{fGpS#
zWE&R0BmBkzv4>zS?m%>(&=~bmnsf+F;AYbB?dQ82E=}Rs%y7=+Q~<zh=_~&NVlias
zK1`S*<ne3=kW<XW2{duv9O%~sVvIz8ZD#TPfqy>{-D{!${gH&M@!`wqf60!%)Dl^N
z18vM_C^T-31ih-E9@=@x8pwA31LCoH9I7IZ$a=_sP!(H&gc}!nq;rx3ppQLL4`ZEJ
z%-b*r8X~BZ4F_RXx@K|#TulG(;=43vxRHO<*Zm^})Fe`CBL!ud8Xv;H_vcwli9uKO
z>;7DN2*??eZb|T2o1ke^=DpLo;)0yTt5*#QAp3d^y&#p%b+2U@D?`T{A$7lyiV7!s
zKtS+6;sFYYH62)6m6b6AbsYD(3m@>og8DCk`aa<lKcct8{c2HEOY03kKmXT6?x?o5
zED3czLqpru-*{^W2a;dDAOIwUQz5_d<SbJnCQT++>J}JV8O7XTw?z%~<&k$QNx6I^
zMU8RLbu1mo#!O2upk54$i6;dKD|o=3V?{3~?Wfhdi`0SFoYphjtpV+u)6E3{nr8EE
z{ShV6zTBT3_{-#_-yi)aCZ;=*T9!bdde#hT%%ntzs{k~sK#w|PnC#wlHZ0&dR(pB4
zC;{$ZUGdA8FY(Li=tbL=iDv*Xbk4ha34NiNZXnTxY4?(TaLnCyI#Bp_Fk9|>a|Su<
zrA!V3*!A&hyYtneBUIeg+uv_``M0l69AG9-$3VMiv*Zl<law^%`E;iV{pPt!(`VPf
z_ieV(mE-Ad`RR*<#QHB}hLtEqjaBf^-8!YLT$<nk0pKfG)5N~N+LS#$H!siR^u4#y
z(pZ~2c6?s#yF4@#Ip|B%ms2*SVj?A5$fqRW1$vyvltrXGHq)sU2&DVRGgyLZV48(m
zsWJ%AD*#FY@$kg-G>gSTO_w>anENa$3LLBAy3WAu$B&F)g}#Qu(?E#_5M~pbriuzy
zfVp!4+()_6WRm(!>i^Y^y5hD)HB=iSs&Js7UGhppH(DfH=aX=z3=7?cLT0+3fKm0Y
zyp)uc3{f+JV4oj9e&9lw0l=3sX>xLQW?II_%35*q_t&pq6rB?%!=avV=p-aV=R4y!
zC*7pbKmGv$I_KM?W=jpVoelplvRGKB`BrTZZ8ko)h{M|a{tc9XltCq&)~T8t8Gj@3
zi7P?@PfnWeLarRE>FGKuHg=Xod00tC1`}`vc)-@|6)|@t_`JweA>Y#}Rm)1Jp#Oyu
z(bp#U1xnx&yS$Lwy8hLwW%Z|yybErA<0ydO;>?;{Y$b8sXR>Iz*^)iPA|;hpQo<J&
z7M85~50wOBM$^lhl9CT}xX1t`loZKDLPjPGMFbkhhuaIu5S~X|EeXg=d{!fLTE!w>
z{ll$-rWLU~R`w}u(hXno_}+p@j+ehV58K`QYsjrRWz!i}rhmQv_m&G7ZX=r>BVJ>=
zA^QfKf^vj2@D~jy=iil;mGMIkAf}|Dp_!>L#sc>TL#NSzU%x0NA|g`Wospfret0+p
zRG5FcD^nXE0jJVCGz8UR219^9nIbg}jfq=EjaKV(u!X6qsp+?7>+ES)R|_>^jXkXq
z-Pd($DJ;;ZJ5btmDs6HK5;lFyuMPSgY-psvY5)O)*~QK8?R}5Fr8YKeFMOhr&`Nz(
zaB-hws>|q}{V1LE{c?IR6q5INK2^<|DQx#D3Y^vz)4hx}E6>5Bi3Rk=#l^(}&`iF<
z|L~)@`H|qq!h%{?2ys82rdw;uCzP`fhqVwApbP8<Th&LS7y^()7^pP(qtLuJSe{Uc
zHsDIAsi;<b2rX8??t>h8KJmZ+w>WldYwL`xEFI?9>x~F$C+Ow`o9i{up1;;F&dY1l
z`hb45w*1}IWsGkmIsfib`?K0BrbmyO`r1`1&JW6k`?L)Dqd&a{Sc|eIbj<ch)6u0Q
z^Br{8g*`JtiVF%DXhy<7KFX2Qd~u81A2?lFxv!kL&iQ|jq%xuGql&#>A2r=CaITg;
z1$4VZgbNi|?04lrKuGKw-rL)ot#@RstgH;4Uvk+i>~aU_KNiK;6`+DPx?dO^4Cb=k
zf`Y_Qv8)|8F~_1E79(&+T<6CP{M}9B8U&tILu2F4cs3d`9)sS%-|}S83|o<)h{tGp
z-=z7OGv-Q6-{>oAW1HYMAx0N@Na}>rpq>J5$s0=!0f<@VlnGa-^6%|?ItRi%@oMIG
zB?5fzt|i&GKcGkv;$0rFjME$hS^zV8S?*w?X^gy~{b6#sY!)&GA6g%Za1wmUl59qk
zC?w#zB<xPi({Fpj=16I4>!8)S^laz%wvty{{>^X;M^Ek`gmL~6s>@O9+FYctmOt;j
zPr8D0&GP_{P<A_<T&_s3bCtY+)9r<klf8|M4H;hcy9iv2q2n-;AOy)30HRT|6U?ea
z4Ki}gE2)$y&W;FH{JFSkDq!p-Bd0=@RcAz<#E!sJbGn87jSks>q@UF`%)f(ssZRSc
zstx$Mz&mJ3ZSimE9m2NArmv1o=rMeiB4eZTK5KVn<|lgzvdK^CIC~Oh*Icg1gc6}t
zglc}a$50NF^y&>`ruqO1t$;lAWw-hy9z?}v++?Oqd&}w%DsqSShyTih{ac{WG+z~Q
zRCVy;O-1$Zew|wub~<34fFC1rp>JbHpim#2FlRG`OS*PfAi19({?v|_*gZOD0~$KV
z8Q%oFK_mU>@q{#r@&7H$zHx_uPZxiNb76mf)k5>=nxf5>@J*Ueu_J?po9>U(atanb
zftf;?iMX;xMd)kgcrF#yA}gD>QU{rZw$~OD#0@i7Wc-}>|0sV<Ko92>F}|BJL`R8`
z(km*$%t(>>!8Jazac8!osmgK2NO0?SUn(q=;E4_}Sc^R-qKL`9$6di_+`~<9)sd<u
z@m%%jeY5hhqE)3qf3*GGTsp8K7BiqlL|azb(QB;BHxCbthPF3Xpi&e&jn+g~xr^3x
zz10o$LGWU<pkV_nTd8pSk#l`4H9diM1pe#r7GI$vUF%g7e%|X$XcmLm4tr^<xyJjo
zissSw*aTEg;!CGk^mE}c!_f^s{yrqVQ9%eht?$1ZXTXa@kl?qsq$oYk-94wFv)?ZW
z!$lEP?hm|_HOm9m4R0QgRupG8uTs&8*S-y!09XJ6=q+{1&%O4Hm<1=F8xo{)M|I(%
z<noCjqmj4FBTtr+D0PaE$J?G=J3~lti8<d%04j~;eI04>d3|K8DCA835(<~Ly}vd^
zx!1g9b&x+?&s?-*;niv$`-A<KTyCv^bvkXeOoLi2Eb^m?5&{+`*5AL8ev1~A%W|D?
z#-nezTcl@Io${`3zP=)*2Nf1^#)6EPh59o-6hxzq;ww~2ffI%<y~@+UsROridmb2%
zq$IV`Y&;0110@&hb_OnrX#gtIx?hD6y1Avpl3-CtlegHa?%$Z^&rn{$`!$!X^Sd2~
zqJX9_ayHk<kad}jKbpwg{p8J4$6t!xO~?+*m%`$|j{DePiB4j12%}`CfI1ynl4jHl
z{Y0|&HDSffkHNhbTU99kj7Vcngu7Ig4ixzLIF)y(0>VT+(iUS`Q1oCe%@#Wd&7Qw`
z`yq_>?ovljjqc>J_1){Xn!;|Y-QB`{Mrvr>bgQ@L>B4{Aidk4*&lyP?VzxPV{poXk
za`%0MI+VB}hSq~aXoR049X)MKIB1Ex^?MNHk?YnFCS$kpFovSsWnU8!OL{Niaa{Q0
zqPWr^E4`s7_)KdwX<=4#T#Ox?$K}~N4^q_8XAP4{ZqX+cKo{laxWS*fZpZmL6;o<8
zl%4=aq_fjT`6%gCP_WiVtyf-;6KT*c`+FC=Y;e<qWi#e<J<IJKesXXxy1vo&k0Oj7
znjBD|P7$TnOFvhsM8kCr9{Z#AE9hHgi@a!#%Gw__e*zpVGT9ocGBo$+b*se}7G|U0
zbc(cXjoHgXEDS+;mAQ^Yxdu7x3_wm=0lbdqBK2Mn;wXj-VYn0jg|<WFu(tK;JZP=@
z#w_?gVeVwp#=w9?pF;H6@sv@`xl*8yhW1;~1F0>jM+3Zc8+J{m3?Zivm&9hgag=-|
zYDyr`?ggN+aB_x#ioj;~RN6BPeJx=>XF(#dF#KJ+GlSwcYGIKa6@VoaLLfW6QSPox
z45>U~t)HCg>(ga&OXl`BCZfaw;qY)lCwcW5se$Fir=<Ctf4UaTq_0H1KT=Hp#@r#@
z<pUK%b~_cD;QN>IpvK{LTy@bbI-HMZT3p{I*;t-QYXyDA_65T2SH2wKs+8%9MJv^%
zXqdTYhPt!t23z!6nip^X$@YR@aSphP*-}>%ZF>4z%5qEj{sC*LzqdGVs}LvO*|gJy
zH=Gtg`U5yjJFif7q#BOE`=(IkyUPzyQVZ)v6J?jR$d%`=Gtx!7B9h1$BK`3Ubo1lS
zjHp$$$aPc&e8t6PpsX(XxEd*FNAFOuF?E;{@2Ck1<e({;Omcf;=za&XKTrBfqa1eC
z8CkiG`^LK)>pKQBz74dWLp@46zopVQ?+~ZM3Gl_W%~51M9xyA#J1Y^5gLZJG6Zm1!
zs(qe{S!N4}^62zON4@r|22wl72K9e)DxTC)J&r<*6=E#b4&0xt{VyIi{v<=YS=WOD
z0`<j@u*d3!G1t<C-1kx1fWaS6Unn!9BUpOdpJn(kug&&xoQxN4*jyQ}7)(7Ro3WqJ
zi=?*ukB^no+#g1WXbXUjUNorIjB36sEiGz7Nq<Aeubhd`ouKKEyGZpe1zYX_Sj2&v
zFq1A=W$>jKqFQA5*XEoN3VMQoK{hk$K_K*I2LW7`JI|<VoqD}Cw;R0xmB&+=EmRZr
zh<{xd{<q!w(&M7oBqjRxYN*QOH?7IJT~4`(K_DWdqt)>0v@q}HK~LMOdAH^U?Iogw
zZ|+oj@*lIFOZ-oR3bAPrZqL|wAtNMod~y6SQ--a|NGZlW^7Xu9*@=-x#CnFhQ1=G~
zmuD;aqs;5S_QWpHD2A0fCp4SiHD4~oA%%pBuasTOjd_tHUXHQhPU&xPS7Ae#_Kq#K
z^bU-Ps)=UE_ZBQf{1`-n<BH*);+ZAhFYBpi0#`@?X@Te5SNj0YEE_9y4Ns%dF!k@P
zc?D)ovsH=YKTj!?MZp&{(b4%x55)&$$NMPzI-ZU6ahZD%7pe>jm-5xVWBA?lbM@NU
zi5+_i6<)ZK&5Vk_?{ZGqtZ-&>YZ^C=#g%Nw0`A56YJYq6cZ*&HZmIh4e{B$xwcdN~
zwN;juBKD!_u39i8fK4CjR%NAQTo?|bGaen$AdznP8y|irYgv7^-N!Y+6+ZiRdeXQ;
zZ8V(&?=xjMCVD_<{iV`R{cM1d0!EpRL4_WiiTyx3ys`LLY}HZoQ#0gIeuwiw{GY~I
z9ukd?-y?6_h#!kB9LWIVSV@TLE2P3&!PM9lQ7p0~(qQ?4YZB+{&4nj+d{Dq9;_3NT
zX^;^d-1+-Hp67+PGd-D$;y-hhR9F#WE-jj45KdkJa~M3G?7g8+k^kLNWrnDTm2k2g
zb6R?w`RK9fmWRh&DG)3B3+U-R%AbV{#}E)>be}WH9)GJpX>U#BZE{I!>y^UY)Lp6T
z@CXVC;>i_mZw-*ag^+CQxvLUDoO|zSN27ufN!l6_Im)W8k*A_OQo)M@J?_vAVoJEk
z7t$}|nlzD?+A!2nb^m;8f3{z6-UU3qSGt*ao}|1<rkG<TGv>S{Zn(`5yAZ|F&}t)m
z3=E0LVGtiGr(7<h@yhcZhyw!^KsX!KcjvpN-#xH*b6Y{mOs@cV+P@~_b*Dg|K-qAy
zK!o<?ehKi%S~T|tW7;h!rAR+2$a8_c9?oo=I956|ml9^77BvzRG(tsYciYvbqQdG|
zw3``8ea;%BD{|SsF>OB>!vQqVKyz8kU>WSw+bC00;>pYR&~`G(T44mZdh7{>vZi-|
z$>r50xdo=p)Mtjkqr%Cy1qYm2ZuOpo(!~#wJ73HXmp;LX!0Cr&gmw?BFDof2Dx1z|
zy8i|JgvzRAFYANU0;EjTzF|00+<){~v@p;U$N-NGC?3IM6DM*68}0^??+X$tFL>Z_
zeGm6xmHzIN!s4Rlw%rhkMkYJV7{{aEvli<~nJmiTuHRPm4y5xHY{krw@H#Kds)XBb
z)6(zltl%ZiP+^&$#O+X_NtgM)=nLnL)7B-45*-<CnfQqR+I>`P@^DdnO~sYI*CZdI
zTE1JJxS_0cjrY1f`L*YNd9nUcpE~C0R)B_1{RnM^WmF~*E`Cv}s5IcAvR+B9Cj5a-
zSzHt+O&ELwRyJYV`|rgimHU*@IPSm?l>NUAES``%@l&P9Pt4Hh%N2-QyJi<eIW#)o
zJtzbW9Gh@au-as=MQ`O6CQX`V>SOVy80EObWuePE&YQJM*q(Bf5nq~PFj<9lU;EQ4
z5=gQV`c5kE52gMhwwymiL?Mq${rATFSuP-#NDuevv6$nbpFWj(yAoRQRN<-zPYxUg
zxOoiE4>HcG=9W*>MqZykj(Q^D+3y9<8f=EV7bqnYkl6Vmb(E$d()IgQcCsf8hDK^l
zKA{K${iTbIDKaoQj(GXIpSn_xicqemV*TZ0PME70^53?C1PG^@TDnzU)&I5%M2#-4
z{~gPx-1&n-Pap>(R!KRHZ>^}~2LZ>JHF|=eC=G9yo8z+#LcfunUOL9D0L>@S%E>gN
zq9K}20dG^xTjqOddV&E57SSN*0>*h75HfUlCsdkxoC5dfcs+V+m3KJJ|BDz=MrZ_;
zabmsxY7;EEV0+ZJe=5z5E7a!-s5HXgTTb>wX+{qgAEd13INr^APn?uWOGrd8h{NZ?
zQl|Rir;5Ntw+KUU6*sCxAYAGXXnhNMtlS!&kaqWR#Ji1I{-+;J^jIQy6S&a;Uo6)7
zG;MV;Tmj<Qw&>GK5J9$n&;nCl!NkfWRlKL3Il*ZY#L+(?%_y87QWybY{N<dlR=B-s
zSEzt)7Mj=9i=PHVqBK0Ur8fm}u^Y00E!uyPLY%5~cswHi_EJYp5H0+d*RjnsYn2hF
z3^dl0yVaY+-vvkv8yhFAAE1*pUfesiUU=`g&8jQ(;G8vgQH5S}t3}|Vd|JIWmaZ_O
zDk#)$FU3U>v3$*jZN9hutT=Vt=tgT9?4JL<CvO(NiM`r7OGXjLQ1VBRLKY~X5)L;B
zdzFp__OH91gr;HvRPe?MqN1@}*1%`+DdA<JNWVOIaBsQ&BY%W}n!>?1QOEW*4=uB@
zT!lD@BDM~~6Tbn0h|vsbY)#558ZA)#uXDvp#J}~Y+F~_FyN<5kB?qhVXi0NkSm%xF
zaE@@h>O;}yea;J$!i$B9V^?-uh{Fi6UpdBp?)t8GliD140M!vfg^43r@^jvVCQT%#
zsPY#t-8{A_GS@2*{|kO?v(E1n*{h6t5CY!sqtO%O6&hT!j;E!@R|{wc*95<jCasFv
zupK<olr@bK8%gXuxlv3_YNZFUEKF6kC+qZpj!q5KY8|hg(}xQ?w&9LvTL}S&NlOe#
z_|Gr|GjTLmg;lBG!u$I6`SD@ZWJ9HUW}C6F>dq!<pFE<wl*#Bf(?ZJf2ES#S%kp7v
z_;g9|JR;PI47Pk~o~&{V*Z}?bjeCeoHZNt&ZYIhb{lH?UwVjS{rld-392aHPn}jxt
z;pvo+{ZG2y*U>JAXuLAphhJSs@V+9p`k_mD-Xf!noZ;tT7Mw)sgsQAi+pE*H%CWRh
zFyAbCv*uJj1IF<q%BjJQGKigi41FfmET)bW<qn3=k1yXx)Z`dqGCe+;(Zu}9qg7S?
zyO?p&>7Db!;s8rD&62nAmDu^E#MaQYX>OT9dGT!ts2I#>9+H@}(MFb^Y}jKwivf=e
zh0@hJuxz(j-j>39zGe$bHn0FnhV75doBP=V>Dn(OynI$$VexTUe;o2Ny*fT>Z~4*0
ziAfZxOfw^E|3hEcbXKKSb#)?*+`RbuH^y7XQAVu*Y&pY!p9_rQA=3juIv(CpQi895
zL-d_HeETCIY6ttH%iz!FOIoNS6~aO$9}(Jr!F}L$dc$6ynBFBmg{@a!=)eyjq}=xc
z@4y18W`XT@_yFJ?=dClpW2FMCydhDF%<7L6nSn(;qWSt~LRVHLc|m7}55Ne!4UyP#
z^aDd4yuZgMr#j=f3Zog7(s&?R%M=#E!_K)_Z$ED?&$l5BL;`u`kaC3Bj-a1|qHbvk
z8EyO@Yo>R1@Da)yK=ie$7a%FJv{)MF=vV;vrfWJ>6uvWJD@M>;kqS>ZXfw^PRB0bK
zWD2*W*3B0r#AM?1I2%(qBjaH$;m=VVHZp%tg<<63_8>%U=e1ol(KX+(S4D0xZB9P{
z*4B<W+jR7UfUCeV@r+bd=Zl2x#P{4#kqd9Q9S`W+(Uup35OqcaF6gswPjQ}ssTlvm
zFEWIy%eT!{B0FEwu(&`>@RTH#jOrW+8GG(9Ss0FslGw95Cb?i<pCtE$%wzs36WiW3
zu?EbU*ej|>ZPW+_YTfEZ2SPTs>_@Np|G&vAz5HnW*KYv+>g41EooTY~TxGdD<cC3i
ze186ph9&?ABpVAYB>WgwcPh`GUEi(v1F|M@ajwmbM4c^0TR<|qJEqunIz0KB-jx)$
zK1zF)X<_n#`!VJOHTjiWFlG3Wfsq#X?&V#+XvI%)2^<Xzm&5%NEL}lTGN|bK5BF~e
z!qmFMy1ky^VMCw}2ROei=tZ{z>hRNxY0YY<0rF7ZwuM?-sCx&{Ap@agGPP`0iOFOh
z#oZ!+9}85gLk{MpJud3=@&drD8Nd>7W=SUxg%I=9Tui9~(0(0gIL*%Pu+v!j!11J|
zPfbp~emrTETcrYqR@A}pfMd<0e-`bBLgChG&^I5rOb+wW6#&c(Q4NN*3HevAtrxYg
zmZZzOj&?uk++J%2O<JTb*hIFona+M^iYLe)XudCZh!v_d943*Gk(nvch6Ms?7%d?8
zhRQ?JMME($Fs#RzfW-I(Jp38BDchUP7}&7bSTUd>S1va|@q$OQD0>QIZ0Z5pcmQOZ
zMjViOT)!RWJ$nU4wis2az<{wd)CNNdVg?3Vua~_5DXP9$GGoMFZ-dml-?zbN3(-Z1
zNfWPN)C`WMbvXwtHzxHXFmbBPk;?<=Nz-g~uz4oRUT^Pxe#mzP!Xd&3%amkKI(Fa0
zP&B%=X5Z-N=<CD-k=s9Cp^Crj<3X2P|Fw^MsR${r(ZVaY<@m14#+GzcH*<lsDCWh$
z=4%2(;@3AfY`C&8K;kP@s8DXP$jwl{UltKE3&4DUjRz5O6j`g<*f5Wdjt=6=W!GH-
zuNA^TYN*}E@tkS#cMXk@=4Q|G?$|+t0R!9hE1(`XwBviroiDFEi!C>8r9J#P>Gs0W
zIa#!#-X#CGGz-Ux@fJl&s&G4-zx(U?Lhu)PzFRAMLCsxr_OiVGS=IXBmoI61Sa6cI
z2G-2fak+ldrZE7!-ttP`z-F_@@Ld6HQBjjXXIfj54`@GFpOhF5*nd1evp&BJ%qsSz
zL!*>VD{G2gi~<&)mV_qk^&5o04rIOo;s+fQbL?D@0Oi@UXTbJjxqjo?FFZL}GvWaF
zs?d{+k2wQ72r2IFlVKH_9H?Q81Y@IJ*EB{N?KR|7{(djbpO@c+vsjNojyuGPsgr{I
z$V_vPXC55uHSBMLNB^93?7)6G=9x-sHCQ!Le-__YU7lj~eluG9cZ8!y>C&Q88HDeJ
z^NVltn%%bZO}di3O+Y0C?x}E787AjD3rz-P1lir_JY(G3PyVk^q}o<%o~KtvF3cV5
z7bQqL9Ber>5kf}te(mOFC#`|eNIaYTpcR2D`=dBiw(ShOAPAcQtw2UYBi{O1u%cPh
z;b674G`$wM&;x3JEksW7gZY_EmbnH}i@dve5DKxBr4Tby-Iq1@Gyqor{=07wf*)Ge
zWJVZ>tf*TtNkiCxWi2$=?q3~&@z)0y{_HH~^uB6&cvsC~pN@L2GdxWl#wo8-4SzP&
zR96?_<m;R70zLr$nIUG+qq`x>UF--st&LPct=y#N3Rb|83+21S=U8?-qrUPF4W*=`
z3j$hyiupnXTF^w}{rfkYs~VuP0Id)Z5I~VG2L$;4-pJ#<!OF>zv^@zL8XA}<G<3}^
zXoo{uINySmE^1}C`-XombAJK;?c;X6xrJLdfffpkP&>FCS4%iw;fU?|L_K#j3%}U0
z8GyR|`Rc)6gB-C)b5<P3M8oMdzgFBSdoZ*bM@BMx&UKR&z|Pa$Yq8p$V1NI&9Q6lG
zAzF+uik{vV={0x3ojp%#_XoyKopPHQrO&_hF?eXUv?`*jl;Pf2=A|H^qEc{jURT_q
zyk_<e2tWcRIiFozxM2eE7`rU0BmVpu-Dd(}xu(9p+-Q_6ODYkm<^Qr^h6&by3*$W-
zU;*(GFlDGMzg{AL5f?W(u}(%W+E2G9bk>^DIy_)gLZVrnP{7kGuX{siw0#58y+6Gt
zx#wshT1rl@+R1fp?p6>Z<4m~JTz^EpCsb0cd&%RV??p@ZWp7xP?}&Vk=Xv>J-?GDF
z&;G)t=PN~n+*JYinB!zG2^hc0mn`pTyjnjY+Fc<Er#Jol^mAJFC?|c!E(~^(c1E5n
z*~Jw?WNlV0wS%W-^$fh5ugUz4rRHr=dUu{;V{41qVP6T_BLjy*@S=t9YN5Ts`Rp3>
z&y4I{@E*6o!W3vU)}1uKqY|ZLW%&TQs9diXv+3@T2L?ph5tB+e1%>d)$d2oib!X63
zGh1s*3FZ~iS~gxN<j+y`sCu+T@$wnGt40xr{E4!?z8PTvV&G8|mC87Yb(vZ!_SmLR
ztN0a3pf_P36@If@g_Vw4rTwyRh>L#HY>~k6Jyx4Ys$l1BnK^IO4rR7+*{zc_R^zLP
z?W{eoPznU#q`BABt03HDjOI#<2d1&St|)t>uuI?UK$`;^J)qt(v3#!VCY5nuc+x32
zfL7MmVLt-nEI{wkDVKSVri;R&1oM#sS{AUfgaiMVK|9T{0Q@l+TDG6DN6hc`7dSSh
zq?ST}E}`28g%AM=X${(z0Qh?|c@MBfX@UNJ-|5^#{Huu1{dFoJBsdMzF_H1HxFdsp
zu<F<?9^05wm6)OObY{soC>-j4U!_6CFOLkFW4Oh4Ikj3dzpmS(Vv9L*+43b~-m=Q*
zb55FIH7`z~Xmxxcb_*)b%#}?80FkX)&E#^ix4J8K76TIom$@^C+FyC)U`kO<+%%&=
za{roatw*b40S#vwAk5|_PH<7y>n`53G9oZawnv7o(-TBPh_~|HRk`Hkr*a{h&iQ=K
zX%If3TZMKD*k~~&lc=QG6)2p^nbu~gdUknVkSUY?td57Li9!OdUl!`GaiZn-sgfmg
zH#Y>JJ>AeAQpI(gmtb6gpHP&3Q2cvSC;uY)q3L8(%yE1i3{il97RD38P?+*LXWdK9
zrfJ)ByZ|f%0!I{KtUP>;XFG?ai@3c(tBNK=AW6sZir$)=;IWk{m0zI)vVJr<QISUb
zWdPU2T;G2U<cNy8DAmWyXAFjRdc1f8H;l2HWfk65#Er1+HFct-K0e*(2c|8OlOq@n
zEEPsTtG3abbcMN(@iDkE8aOLQ0(Yl`-4hK}*AJy(8XkBU>4ZN%5&pcLX)bngrH2o!
z4#(tIL!vPRfQgl`Ha~ws&6PvdCZ5$z%yOR%Ynwg_O5j%Cp*ub{uJGUL|6wmd8hAP8
zwq>9no}QH5^WtdzcQ_my<5gpLsdl6F%1ZYBMMIOJf-l4x4)*z4?X?oTBO1%~-Hm;4
zrlB`_qU<M06xB1NFM$Z;YDW^N>gfVO=!KIufj(b+e7l*+$WVQC$)YYM_lx-#R_O^C
z5Tw_0CwiUgDy5}!hYWOQ-?B%uvA(J#+{5VwpgnyU2F+?-xR=*o_x=ky0XOe>1&?g7
z5E6#KLYU6%7+a)-BMo*0`D=atWqE~>d3}Wu!o=-~(wf)#F-p5x_37|pd2CdD>0t4A
z>}-$$yXIq75YX{NMk%YcwT>~1bcn3iD@atzliVSmh~m~KzJ_-U%Zx)|ZBPc#l28Fd
z!0IPhFcJkJzFnj=Hz+a6Rry=ZFQKk|+q%QSQbn6jPD0YTnZN6uE$$qp#%09;XA`LB
zEnZXhc69N2ZMXksbHsu~gAF=S$BqUd?j<v3M7a!x#)oem;vjzvX?O=?3AQ9qkhX{N
zji<FnTx5;%Hv9*lbfx7jT$e?%-$Nyk*`*YBR4*sl)bL{lG^YmIO&kw0dAyB+bt3*a
zRuyk09-!pA-2?Q1IM?gPCnYmbMQoPmx`~$46F`}u56A3duxq7U`}fO_FN6DQ5Fq6L
z^H_Ho#Kg7+0~uEY0PNA%)d}dlwEk^k{4TGZlXLcW82hiCWCDHcGgT3%;F$T{URcm@
zRLK*qGR8lOMor$Ruyc|FUP+KMO1YlJ+2Y=)Nb)P#wSMds=@q~$u+aRzsrs!yXoC1M
zN*T6IC|%YB4<lkqKWvfMnit+EE{szMZ6;0=Cf!%+XMydqax{S(cP#uTYwYrYEv57b
zj+ItMq7z2powa0jyd>yYOBc=fyZd=U93EYevpCeTIJ;`8ZLyIV+Bqjt0y|zsmzh!(
zhxi>aXR~-mO6XA%Dr)n*t6GDsc1B*yL1i(_{4=$<h4DUwYd%1*mGBlSGR!`|jn-E(
zV<$P{5QmC(f*7wXfFBJcPKi2)8yWf&^kW;QZx!1Y_*@asF13RUfy&L>>UDY9<x24+
z)0;P7LfqP`e?qjv7+kv6L#yNcnNg@lO8?$`9h0cVOAOlQkpMLTK+l#3mErv{#v1Is
z*a_NqD2blhr=w#i%r16|@VtT_yn<|KGxu5$FOTOl7=ZeIf~x#Os#ze<kBv@$gAyql
z;6UL2v8V87!(*hEQ>@4ud5Z2z(2L9rH@^oA$OoZHMBySyNj)BbVVg7M&Gau;j)e3g
z#r;A~H&gYECPDMvtXQ_4wG`QfOZ1|xYJ|BZgJvhZ=~Qw>vDDtsq8B_9DBUq!_$n_h
z%=(8R0(%_g>^#|$ww*7pS$Nr@gxon2awfp}2`cM4&CK7kv3l3Tqv>hMy=x*N!Jfod
zwmC*WD%22FHeVFG)0|=X<Ec4jNA*-!Y*@koF{;<+#RCu(*Ei)pKR?cM73n-W3MehM
z>7LveeHX#7vOA;g=HUcfg+3#LjZ}e{-q{w)<8ZPbqOOM<1#Mog#uHd}qQ83e+FL4L
z|D;ujh>BWY&W%V@jW3GuHoMX|$@K1G_4ir#he}5p!1ICb<tJ5l9hv6>3s!7+?<m7n
zl?U4%;DJHL!r!IP+UkXmLCLEbx*-a3Y>x{8ra=curSuK=z#*e0-<=|*cbdII0bQ^n
zFpUgWSQyTLcuDBTlrPEd67a!*#->q<zP(*1o24UqkH=ka>kfFh5*ph0dXM{;5tB$Q
zIoC>$mb;m}JPz1<wjpKJ*Bd(fX8Vi`o9p(3v+7D6MQvn<ubKV&T{0_rYvZxj($_D<
zu&f+y*JE#xZ!G3fVJ2vBilyUPHZ=I0&(_4gKAgr=bes1xYN>iWgV9vC<!a@xbLgK@
zn9?JC-&_~xFNVm=b;UvF0A@LPZ=XI^StA1Qdr)({+iK5;7_6;9=oKHjynwUv&_OG3
z;E{g1b=75hS+f5PSKwggcf86Vc>PtgY|YC}5!2B{T9-+UL^QPBhgKD{wLl8+<I%}<
zQ90H=1B`ep;UVIEx+BZ`N^vXV%|ynKrEY5%$q`-Du{an^*%bs_HvU`Mrq(36&r-pn
z69dgFbBj0rd@wU^tf38gyAk}!mG#<e7iTUVjy>tMmmm03d0@&N4U^85&E5F|QHe}u
zj%J3_%Htai88_|i)g~251Q15QYs}UlgyA9$<=H+SyyuRZ81WGa<3U1-e{h489&i^%
zD|t4D1WX#(sW|Gu-ani9vwY7-(tH&eRy2-%*3PzfV&e!&Vkc6@7OXIn5aWMY$rgkf
z@w+b(jHOLmv}a*Gr!%pzLn5fNQj8z$zT|UWt11tiNZ#(97~|U_ohR9xw!h_YuhV9!
z#6_+)eD&`(b#I3%K}(rM5Mizz_6a5MgmK6oXK#3^ps2aL#xEk#ZpcrPcofXENXlGo
z7h2g}b!Wu0{E*nEs9L3ae7<pdtpSY|@7<alSpdyD-GK@WJFc;y;ll7hvtLoWboN?8
z;HFvsEq7nr{lN<(_b*qW&>w*X7HIV>Ds(VTwe{6Cp;Gh5%E7Z^Z)4}ePtamj>qL)q
z=S}Gnj~=Bu0nTT5r6Jhpj!*p7vj%w-W2rA85Y~yxIehGU2PxFZY;m-Y28QgsY0%>^
zeR6GY_1Q-Yd3oPW6I#y%j>$1TAJTb`d&AMFh6*b&Ay>bj>;HmoPF38D@*l}?enAx~
zPGHORxqe<=>BYyRk`V)eBYU&@QJqyQWoPK8u;C&rciUW{T0WA5F5jIb3oGhWC@IA`
z`f)Z2G~UNId%pcV@4{ot@P-~c!5{i2=odWEe>^S%kc!Xw1tdK39Sklhr*~z9!{Xz^
z44+0qxZ9ZF(&1skG<lPDvpYODtD>m$V@xN^y?e`N<q#1+2L(Ajt&_)HA6%r=Tx=Zs
zrt0*1vVT{oDbx4M9eyNd@@u>uKM6r~*RV)eH*=;V4L}QbOgR$l_PyHSY*%_kuXp46
zdES|d$Z??Z-XOpyxn;<AyH{DWR7Sh_baz?FFJoCY<jT`%5O|WnNlRC4;*_i%|EUVu
z$3`*@GV2}8c2qKoV8;~nyJT^Ps8m=G97+v><??ar6pMHxb{Th!oGNU!l!>nCOo5$b
z@cqbq{HIZ1%Ouy(U?o<*cMbY;VRluyY@!GV+9cM8P4D?{XWBZZGcJsY=%3d>vS+ag
zrRl^MocQ7k<)>-$m`*numYw#(#TvLz+={lx1Jk4A&k>Q|&n<_p5s-%tB~9nqI<OB9
zX!bPBTdYj_uh-n%B?HfNYP<0rWv+`PiuuP{eXgSerE$Ia?H;GGUu`=$=psig-vk>8
zMO@&Yj-S1(9K7P^!2_H56-r>LqZU=;^LD?B3(-QEljDHd0p5oC!D7dSl4E>}Bd#z|
z0y&v3^s*_O?EPtUE3u`ooQhBlUl^zLqPz>WC^NqfCAFEDx!9s%hnzLWJ9E3UR%gE2
z$kwMX&ZOZ6hA?SDk&{!_vk*<&tCgQ$zldw82|AkW?I~Mx21-v^>J0u#FbLhlnHo`c
z>$*&YHp41NsC>Q_n{U5p3dZVqR$*Zw$uD5ts9sn{(o*bt74gu?vB08-4qGoAj*0p8
z&uC9feAVgFu6^XxRMl-lV(;Ua%w<d@Gb=kmV|Fxi-4tQ)L9deK>NGiu#D@cF0q3Me
z9&!ee;*0$fUbKtXeb?I^sP!Z*=6vwS3oWI<J%Sy3>zi4g{<kk2hes@t$U5OQZjXwQ
z@q2MZ0R0_6gD038YIs9|m{`BZXOff{)w{Xq`sa|eJL|L^sKbmw#6XqREj<Pe9#Cw@
zu%fwMWiTbjV!ww`?=Z=|ux_d@A^qIxpise(hy+ilFf++fp^)ogXmCbespEkKk}z4S
z-rA2GbG$hjb9Q=Ny3o9e2V_44n_JwEU<L`sz|HJkPach-q4HZE3FH~KNw0%ALkTgG
zI~wsBWrd!iGQlN$ZvR&8(F2FZi67`mudPTF>J#SyPc_!yQ_0A;$m(XZBnPth)7=%s
zg?clCi1p|V5*;y%_9n0PH1)C+7yWgeEQg~`q27oZ>%qJKxhMA3qs>m!h%VUU`6XC7
zey8n(;n*em=ZOmag#8LhXSGA#zFoo3{`|Q&Y^M+pB4&x3;NT4chxfBL{BKggAgZJ(
z1Jd`!d2#;!{ze?RrFLU6uM!5a@;whm_S|c1)qORNk~D<Cj&XC;f}UbpWy;Pr7sYhV
z`wSGF??%;0TUztVPzSg6L55Kky)nv|llogQHWL8e3=#n9XHOkBiJjw#%59VtLq#-+
zuq_(2z}HuCe^)O#<j8H1AFN^7)UQgb;Mj8kQ+KmN=xG5CThw|BR~OwKBvuQP$2gCr
z9Y<V-VfDhTh8`d1;BwSNUIE%^rOvK3H5dxJW8I#iwJ4N87^lxFR8-<3IbbfP90xl)
zi?Rx9PhlQ+zNl$h>jK}M$^+;4>|pOg_ZcL)dlJ#z$+}$-01A|N*=Q|yGwF2)nJ)(q
z%Rx>Jn0T4z8N<r90Qi?RE7JL@L}RAN9lRHgkvIOA-JxI%!+YC~U#%QfI+*9`iX;u#
z3vHyi5iGS7vc`W<iTC{T_Gw1dwfhQ(@@{R!28`?D=<2PD6aVvTm-YFBdyT!8XQnQ~
zXzsn^I&RPf?%`MB4Cp6>NWZfzqHnYA(oMdpS;;tKxp2QE7^re7@+Z!+!;X3Xa?%)o
zkB*mH2cMwwJ_l4KAbtK+e6f*7;{NZ9Pzq~K1mM-qW7)S_Og+>|<A$eZ{riK`TsOzX
zC?YEQbVVhqMOau6j~i;;a7YW3mo28HP*7G6TVY@0<M<c*!V9yBL=*9LxaLoPS5S2v
zd&Il^y0IL?ni%P{IL)FIV_UJvj5Hd~0V&#=N`iH&7)J0=`-Av{P0dBtKP%`0rJ1sU
z?U4R3o##?nvhn`WSnT_spUp*Ty&3tpww9rRwN8f+Z*Mso;{ME@l78d+CYlJ7^4KPf
z)vpJM;xbm>e1jAuzlyK;5*BU!+W2fko3C8+^ajkrARNDAx{4<BJK=F=XdMlp@mMGg
zBz4?RtLd5<03u>e2d&G)uY&Gw_>1a~p~|dBMw0ECw{U3Ec5z#zJHPkNB`<LXd6ooI
z6+cpaN&?;z)?CoBqm1n4ovT)1@(M%Op#tlW#DnVd=O6t-L#8PuTR>uExW%Zq8?$^o
zQs5kPcg<pOxFA##8p6StWH)9#e~JvvLwUK598sghig8mLV(=I`4XV!uoYTRZNSH{?
zV>Ss5=Dk3CW$KW;)LnH%L%Uz1mN<EWi!_WDiI>L>%=ZmffCNn$D3<U&1%5Ty&k%<=
zG%gLo-mVwg8|qJC09kLkb^YS%%FQy~cYWqj4zeH&Yo>!ZAwOGvaGtvye<*$QI7f|8
zT<YxIJ#fG!-E;5|bL$gJ7TrD1fERs!tm-gr!Zbz#UBODK<b3tmZ(dHmMwm5&Y$_UP
zSMxZzu6^c}n6FMDNFE_Ja#A}r1VsoP_sFsD@O1|X^n0p~_bpKxb2La8pSl-DAGz!>
zl{xr(1$>iu(-uh>j+O!o2$S_TBkNV|7kqi9bsRZs(p)V?gcF>2_jj^ZD^r0>TYjvg
zUa_5+fDkA*+uJ4EFRaNUL)K*UWNu&Q<*=XhryYEKoh)Ler&X^mnr%<X-a`6=_+}8z
z@`#FR1ISr3yuB+_QQyvqmzG9Lik^Kr!u=E(`jaRYe%u7@oTSfru`apdA%aOZN1&=<
zc&O}ol4^BIF9e`XKU_rjqG1TIUJrY@OEq{bw~rhfF15S++RECvtY7wfJe1w+&6*e1
zErEEfu~_pL0vEE`tXr(5uFamAr2^+;M?Nth;}w<3TYg!skT@RY9$o97eH*$~H?w+w
zbc~d_Uh|4NM`d;Ji9u(r2RnRy{%BM<Lu2`R59HbgSG@vNe0|c(`w&6Scta1>miu`N
zow*f%wdP|Ua8z(JHF=yPhj1FZ77Gk;G0zt~Eibuuv)NZ#!#utJ*v9PLsOOiHl0t@{
zQ%SQ{rIKGcq*z!!#l4KGN=rOvQmK+}eqbf%PFz_zm1qA;1q0r%2N#~EC!CtaJK-wy
zi%DDwmPHHX?q*}$=7{Tx|LUEOukA3GqQ2+FOuD8FL6uuoW@_o&S#7|;D$*Ijp0g@1
z-|~SE<8&iE6Q<ZpuD^@3q>Ban+69(B&cn&vun2!z>M~B(Y*T(eGBUyJs=E3WT1%UD
zCR>XNsr`s358I>HGA)qY?rIBfdO$?c=4ntHDW9jgU39+VAp4BoMpVUzr}n1i;+n~2
zzWyWKhtEGV686GWBA+z4L%^S<6z(dKtZk~QHvhX`KacyIPxhXTSiYJ^9c($MFz5DG
z!Xmv`X3{|>R_ZVa!!@DDL3hD<^8}S_7^`bD9FbLpp-n&NOEChH=~045hf|4fx$08$
zGl_}5ehy>u8IZXlU9xlqQso$SQ`RCWGWcudn%4FKj3hGA3brbk<nHdiznWHL>pmjG
z7X?Yt2TZ+{Xmx)pf2StF#Ol99=nrTgs)u}6$c(c>j=OQpnCkkrxw)x*y3vd7{~0~7
z6Y4V)5NPU&<NyXHz^t@-!GB<5>zpao{S%exHc!jLLkRQ1a*5aOXi0q&KQ}k`i*$^@
z7u&TC|CJLb@VmzCrVOqKi4&6`u*~L$(2y+0c@bOCuPjtL5f-f_yRqU5UQ9xtfwk>+
zslBx6%IcMzt!XinhMf_7?pGiCQ9M?ghPnzijMT)Q=bD{ra`UQLD6m9}*arp-tR~U6
zHmMmhzceko*QV!7zYGj3%vHBBA`spNb$r1?i<HRZd^lz&V<t@r{)x^@f_5-Jqn%P1
zBeEVl$&V1o>!a)E&cPY4^mBOp(Q4nHfpH~1i3P)G@|j~`xiu3HV%DwTfRO-<0DKc7
z3+$vmnO>RC;;scv;l($}B;MEH7pMCzD-A6zlWx~5K!(DDc@2f7LzKyGzb5k)+vny8
zAj8Ssfa^H!qb+{J%d7T1i+g8xJX<<gEIc=t8fInQvbnP>_!Rz1Ma9HoLDo)?z~#!S
z{fjhO0S~E$<8L^s+-u5ycIFQsOFy&iv9mkX^(4l*dvE9E8ykONq;C5F2|+);31dBr
zNn~JQLf1;D=YV;0A;v$HwP<|Ggtp}0*~(LDk2euk5l&Wfs4{N`frUY{H5IO}G`PXh
zXS@7{D;KHV9^7pGW|N|<?{TN%!xTqLNGs#pmONPgLv|8HA<K1tITpV5(wAsf)tty;
z!l7Ym=Ln=Op}&iN$BTp%N_DeeDs3>ml2OKqR$mVG>pq=L5^Q?bw9ka|sBq|1+~2R{
zA;i@jCLT{&TAUT-O~b^5K`E8cQfWF3TIb+lW*VGXe9%ZkfRR#r>!*t)H*M{=z&i*J
za47_!v+DTbq7x9~D?2;>{V|N`U<d{b3?(Hc%#Zl^TaM7~_11x}P1~8Z&VyIC@np?8
z*f1+^OkhdjT|W!-jm(rL6LW07G4WCjwUzIi37mt08AA$Wb<hxuYmdvZof)%a<v&Ii
z?3rXy^KIv12oIausIQ^DW;jHe*0$PR&)$=IP|dBtd}?fhhrqkPc&16psN`z2@32th
zIyk<kY+k48dF<>)BvzmGB?~4+P{Ci`+V|MC`AH`w5l`)Ffpzn{Y-L^7XocGy&_4AB
zHxQ>68wL>SUc->}KAa2E$DAB0xkuB1Fwhp4keG;pfsrbsp)LalBbbT~^G!zPIXpZ(
z=+lE24I#>9*#d+cHVzJT<8B*%yJ9*k4{@y$*(VbXewdbdjfa)1-3zz1^0LW8%Fl|#
zjmh2%r!oy&OTl~J5R5Nq^rCtgVutgGcSo3?26xWRkAK-y!nE`T;YU5hZoaIEWh8Z+
zURJOtF5k)k?}vp2i~T8Xthl%s4H+3(&%j_xNpum0SyffF(jHu<wqbT%UXc<V986?X
z)GFvL{g}+}etg=`I2|kJ{&)lVz``QikmuTF65+;37-B#+P<sAr(0*{Si8G4q=+HB_
z+_#Tk7Z&zKZNDo-YO$`c)E0A$=$z%n_2HU4{_dWxb$!#waEd>Uw~>TK2-hp8Q%_wD
z1BRX<1$VvJB3t&-U!&uqnD24(JQ>V&{<tmJWwY<{sKiNlVdeoxdugVg`Yc76@LiqA
zxfaOT32?c}HRE7qeF3AStegsLyOe-<A?s`GFZ;czNtXs->X%+p^6kV0O!G)&QVXgJ
zJ`E6WV9OMk;9FvB$)&ewu76RztS(b*npeeg$}RprYI}Y6*L2+j%ipl!_0{#(PajxV
zKM$mTy>|~aXb+1vG?Zf%e}~zyG+uq!<{c*DS}3HbL_i=!6OjsH&m+5eEoyEnQP75v
zV*pM6w>$$1QW(9cUe{Hkph}j3>?Q(MACuWKePBlDQmDVMu%KmVnEf|cQIaN#jFC~=
zyciQ^W_I>dnn9Sof<p8hcWrHLfVI3m@YrerT%##HIW`hbHS$xTE)U_o<CZ`^FV9@S
zGnn*Wb#IGHuu<6!I8PUOgJ#YIHX`rOzUg$5Im)A`ZZOo>yf`8e@DEP+(Y+Y?<W!lD
z2lmLw<Ph%Amd*xtjMh#vO1z+?AHyt;J*?%6+x5yKjcd&z`=a)@8IwEjs@iOpA7Or2
z>XMhFm|7MbBexawI9b4&zQJ<8InuZ9CzGQs%=<>u9|iYbZfa_(q^hc@Tn%(9gV`zQ
zI5;mgHE%S5Dj_wjR}TRJ;hSpr^fVqETwg!>J4(uRaK?avDst3MU^Y)nR~H<M;ZOlf
z5+R30%hFQQkPRCX6J|@kmx*Fpq5S{p>?@<9?80`35CM@C7?2PUL^=eKX6Qz`yBq12
z?h<Kf5a~|o8YKm3q$Q=hIeXskTW6i$=a;VGSu@Yx``&l#ecjjfyzfCLT;9;cxa_l%
z=j=}hZ;IC0L!3i{pRYZtY$zAePbEhiVz+EfVs<~_@5Z(SFsD?!XsoNl(}0EB&v;Og
zaeAM3=Cuc0E>X#RLmzv|x5hm~^alGY8tjW-YT#3L;<4#m@)n)h9++Vyzx19gG@*ZN
zfJsPEQ4#dGKC87D?MLWnXlX?N!41RiV2sGFzu+Pq%H#OLZEx<8zrTNKTAI=A<q_oX
zS~fmD{vqgwrD9`KDt@(dzBf<L!qR_tb5ZTQsUY4x)$DA6j*5JHdoqfPj(T`>gajeu
zbwQtRbby0LpZf}oVOVY5&82YdA8f3II|z9_rNr8elfJ=bXt=Q23{;k;ZO7IiS2dtK
z(wfzDytK^U!Ot5sh1^R?^_J?j;Y~CMz__a9AXKPT+;6%b(At3LjX6)YAF)H$0}ABO
z>aW%<w+kkbHx_&#qr;KR>@G=ay-iWViz}}2%@hGc(t707RPOcC!+jWHq=02^`Q!@9
z=f>22e{Iuu4_dLoy5*myWhEyuY9K>ON=ks-M7Ub1`fL1rYtR7Q4H~%#g)|O2+z%*p
z_4JS+*?!lr_m?_we0_ZZnhSg%3iPf0mj)I>cIoYK*`LCr*s)vY4pFJmOz3B4%bQ!_
zcGG!>O$DA_i7m79MxPWlKpY4Wul<r3-+z62`mS|#@)70rqxUfJa5S**Ob(VYEFH`v
zIw%W`6=tZUvII4byhdnDlZa@3jFgJgs*;!;YaLLd&_MrTOvL8baB-+G3=)>psuB?q
z)w8T_@9bdqr;a!5u*-e@`ZblqEOO3kb0o9$3?U8G10+XCiOSG?s#egk{rMgn#E=Fc
zEjdVr)M4sBfAjs1zusJ=IP~8_q1LFhlu43IA^LY`9F&EHU&G@R?9J&qqcQQDF(JRu
zy&ua9KdvTZF)uJypK<thIW1b^AKnp|bl;UaUf~esX?cA22~M9VV_3lYu}DitY<)rP
z_1fzXsF0V0T)TL(>0j^8R<jA>PGk?geW<_mntRkUzLg%X?$vQL`2K#|bv^gm>TB>;
zAdcby@rAB<Ts~F7*ieYX44(%zZ<@}Uu>^y8=>6C8Bcb`kJf-()5z;KaJmED?1!b5k
z?|wo)Qk|FBSk00|t}wfyLB0&iSWeB{$KW$Oy<YAm`K+dH+}C-p8wQh#idRvNw3)R!
ztf>l-ea=3;f;+yNih)(_{tMM3RcGx$lIxYq<cMj1x3VQBrL#uaDMeJNs8Em0LG>{H
zKXf=n6YnV}+5UxF(9WID0l%qSXhN*OufdWa<L~hf9|`p<g|jQeYSWy)RD8m=JW5_V
zkzz<R>Irf5VXG2?1wLM0<22F@6AK^lemIu?Lcv9leL)&2U3B40j!nfpFxQ!TSXUJg
z&HhYgpo&-6*WsWz>^09B+oR_MaVDujp!Ez3-e!DtEHREIsB!Y>pMpo*9i(q`Pi~!a
z&f+^xZz;=z9Ce1LXQ{G)poik<bX8&Srzi>|m2m^j)py7SR|-96t*U=zBgYp05Ke_s
z7Z7b4%HOV_k*hqX&mFHKPZ&#GKM0Eu)T`b$M#UW9I$@K6X_wB2G)uAk5MkxB&_s`k
z*LdIWDivG@HO|F@Ty>Aq=n2>`rKl^1tKg_8y<`@Lt%$m?J1Y;x@_izjt#Zbcd)7Fc
zwQg#R@k(<_b98N6vnVtR2XelE1K(SflXKe(Vlh`>o8S~y_oQ<B^DZp=Agk1AY;;2m
zBMD7S$j^MTf9>+RN8?EEm!llNU-%kucy`w$$UZLoST}Sr@Ev>6qbW-Gi~7y`!G!o^
z!|r0=rwrMdcA-gln@97%UOTea_ao{T#<H8AFGhKj{m9|t&)fZUKPK_j3_NjKzAr?Z
ze)Q3%+1-&@!`%Y)H<W=nJkmeBmoM$`<bwq9d<!v*_OB;#+Bv#ah&Xg&j6C%E)SZHA
zl!KVm$oF7HbIF?rt-)^T@0#AIXE3$&JE(~!v9AaU-qi4-6qW@6<E_gL6N4#N+|l^U
zJM(*%++Z2mWPeZ8Xrv5@xMkjFFzsM2BjTLVO_QsS#Ld_txS7VrFFJYL9ip8tLW`PX
zBx0Li(~*HPK*Vl=3ltTmp9wo3dT%cC@fvSPqbm2QzR&R+)Mo9y`;@2=t+Eo~$n_S!
z#lp2TO&9zlv(@!^Gi@OhK2}2$yp{ex8FlID9R7UMD~H?p^8$KMY@{v}7D>bwMNJ4$
zYGwcv$m7yc%!4uXNd}=!=%wNYGN-VJeyfZV*YkEJ$D}G>tiF*3zBm9Bn$x*;n4gub
z62usKzDD6$(mY!Y%JI_;6Ad2$in(aC_!#DH_HF)L1bK{tZEi$Zoz!tFx?$rCO0YsR
zA>9Zu1t(CexP=wxY=rUQ!~VL7ONhQ?>n*@u0J9LUUM{R0n+hj6eD<yzW;o!=!%RV|
zs%`G97dn}7A4m}wRxZ**D9eZoo0z}6pjB0st}eKFg4o)n7a%A=I*oS<tvO`ArFTtc
zTsZyH=SFU6>0U@ne*dC?n*-9Z6cbjT@H#NV3JsrXwDjM*xWlGZj6mDAChWq#{NR$b
z){Yf)=tnhKi4S1Nya$Ok7D}{<D?M2v|NTPa&Eg~U(^K}o`gQ&{TEy>RlX4s%B5_Hb
zo+zAeK)1&d{yCzLSrsb31~pA+Z820({T$4SRB6M*J$O?!<4-mQ6{1#S^tsj&rS0!x
zWvmDVNjTy`>N{qIu<J|7)K-mYcluLKOW0$oxlh29^NW90JxlL?q!*uQ2euwFKCSAo
z6m^mj+#!XE<4rH$U9nA4{M_H<WNHp(@=Uw373#079<aJ%FN_dEKbMTQYVcd;LJxkA
zfHkD9Ory}%MI%$yYdft15G_ce$RuG>|I}Z+h7ZF@wydolKgq?LUa6D%tmL%3(4iob
zJqqtn33WnD#h$&s;3sE_o~34H-=73|W~J1kND#(5OHCOQC0JiTaFDy>jUP5zokQ41
zTW9Tz$awAGFPM*TI(PI%n-HtY%<+m`%d8K&F&FVqN&BVDH=g7BP#OrBYW-Cne3*-l
z>NQOPA(2tM%46v9Su=K6y!syevJ`h5A2SAqK`1$1i|KT4jj2n{{7WbY1^Df}--0*-
zIKG0}Q-#!GgAKG2d95;$(w~*MptP!F*Or3@@iJx}?$}S8XbZTDl=qjNv@rUcy?>_=
zQE9s|abYBPb8p%254h4ZWBR_G%r*HVT28J*onSn@!pO$S)%~fxt=^3SrX3{zwufrs
zH$1Q6G=-CDPPHu<SzxKsh(5QZ=k4^=>fiIXM^`oP5BI-a5oR>rkp^_XGD{^`er)1P
zN(qyacY7t7uc;g`&3A*C!*cC_0<wq@D`43$Tf-q>*&x+)MPG2oQ!d70J$Hd$WGle7
zDne%JjLEJq8>VO82|nDvJiYR<g^K$>#Z}HAmws<agKI1U-~Z1V&(+4+A)WY&UiY@X
z?_p|Tl}nd+Yr{oGdB1hZ=3KBs(jEan)=zxU8h!Ge*l2z{g{>lneeTw+er&VJaSvOW
zV$(S1`*YplzVs(q@#<niq92F-^+ZBcBl{M8x18PtTaIn(g#2J(6p1e<uBjacADw}t
zC4qIp0l2%Yo3YIIE2!N$<t^C<NZLisui_%U<oi>!SdHDDth3*2W~z$ls82gw8<!8?
zLptA@Y*iw`tf^5By>+R}<m7Pwh&Z?P2IHy;^%?{yDN@$*Ui{_#Oca1$B0<l{0?$(P
z@B5b(#oq0R-_TnB)ZIjRW!Es^D$zh}rXqyr@=UIky_!|*Yv>v8#zL!4@M3#Zth)MX
zRA9WekJ~v}0SCz<<stQSF79}V8fz|FQLPYgSm?ks5>&NAgxcQ)T=^ZW_DMgl{_y+#
zA1S%8q~_OO+jrwS{L<rSmWKQIYJ*k`RlHNSKheOcl71e(6KIT%Cq*PiZN9_`#+;{B
zZp*x6Fzx!aV&D)tL=-a`bi?vaJfhkAU2$8!efx$Elnl4x#(r&*yxD;Ypm~`Lt>SH6
z8(Tmd*^y1K6ptgFxUTTd$(kc|E@}wPo}MruK`KW*@Kor|B-GWZ=x*;BDTs)y{(7NX
z$uq^o;8h!9e>$#Zzui*!uav35C8hdss}nvv+`0RMSvO3DRgIRgNzfhz(5F!0N2Kqy
zzEL!Ys>qJ%JFBgRKrZ$xJkIvU4xdjvMM2@CZgPM1IawAr5g>@+m1`T#^HrePsEP_?
zxD5^F=$SXXn1hVCSzeSvy3L`NWn?U@VYrzII@*yx!nU`z|AxES4LKc13r<tvjWevP
zeO}pE!*Z#u37hGJK1wRo4J)Yq7FL3mzLi@NVR>&TM=?p@dpp-N_vaZ1V`^#~hgbZN
z&i1<$r+pZ{z852|uddz;ZVuEqxM+k};Ey`V8A6hnlM7`oQUWUGn9^owk%b~WsVpqj
z(V7yGsaaoX@vScZ`pJ`k7ZeY&esYD(Z(%#{J|(CGpUsaL-!;_YrjZ)2N*TzJZa)?f
z@V!0$r*>O+#}6_5nGK*syW)0iZ*yJ+@-?mWxv^|*ZeT{JMm7!E?tXV7=zzca;Q21t
zk(#Rm5^*(q*ytJvQeIC&Gmx%Hl|D;LjNPrl$ErJnp}Pp>u40}kP3BMusM_)IcDg%i
zxa^Kmkoznw?{1?D_zLV^I#Qlj2&z_|RExA<o*XJ4dhkb+)`CqgXZKD;MKqdnn&9rn
zySr<V%tsI>nw<^p8F32DsV=hH9yVOQgCVJfhM&*)_cuJ5dAb9Ea7LWpJA^b;EnjUk
z7!f6pf?!jK=Ozv!Wh|ePQxx)<aemP*!ynpq(bJ4wq^^6WG{z+K)MGoQOY`td4l8Ss
za<4Trx2SS@*#sO4yX%M=Sz3PViwd34tY~T?n|HsD$!^FDlcQ5?VPGhLKoWkSv&J3w
zb=^HVJjy}BC1GIoNmW-0UNT-g(y`_L5GhMa23}?Z6es-jEW%X?Z(ZDziEB5T42_5^
zk&&~SPWh+gLPV=d8c%uw=_nHl9Hn#U2AkQ@Yx+upd~@sQ`HumH-d|mdfE1~?`b%Nq
z>qTF0)YG%G!}b0Sw%bBhJbqJV!G~4Fzr>$~731Q53bfEzulNLyX2&R^;RNSP1*b;K
zwR+z^TNLoabU!&J^==N{`aGFn^lS5^dR!<Raga1QV&31SJcG6{tk;Y!{^~uf5Xs-}
zNnhN-uEb1xlt=0<y4=*^_itVn`8n>~n5FvqPe5J~M>N$+G&#fW$HsyGf@6mwmOSpg
zt&lG-MPiY?xRcX6$crm=w7IP(Y(I+_M~1!0r<YR0C~w1F(5qn?2`+5YGH3gRLUJ_@
z)|{j<`dd6jg+U1;X45Xii-u<Sz6j*~d5Iv&VwcuX#=UW;ZaLi#X3?8qEto1&l!ORd
zY6cFpA0Nx;Mm9Z#NJ;<f{_*}f+eHjHI^QeGCc&JJSALiFXsvC3;pa8AWBq2h<7Msb
z9wabdU#6Y;48)M@F&ShNG*d%I%<ZVS**18|GDR_xu&-Ti(SDd>F)mUT){Op;`q&Ul
z1o`;)uU!3EqJtR(!rL^D3{keXFq*WGJUpI}PknR7ckB5^oBiI}Q%R_o)%(fKs~C_}
zX3aH`!RqV}Vlq6G-v?N=3;sXx$2bnp^|R0YFM0)X)p)(|j)u&>AMb+LtP5~r$zs%Z
zYisW|kGN)MAIkFVZEQk)y%zzCO;l9UKy__RWYt+1+vSBzP<c5?i7Cg{$<?9VKZwvP
z$ue?5=<9cJPV_8D58o+JBINFDd#<f5jA8{VSPpAy15z@X=XA7%L3$GUWaW~3)jBa&
zFN39lJ9WDBl^5^3ycnhM-BtYHh2|*4@kynstCzs=N82mE*y#R1VlN}>SCqR7u@&Eu
zsS3J`F)5av`Up_xJ=gMQf^@_3RlbFR&grZNf`NgTsc+pOm!qw+{rwNoc&`~#zD+PP
zCcfY}rho_=4BLuU&p>rL($MCMBD8jg!@{FvQA{8vSXZ93Tb5=aIB4gRe`-Q_-kOmL
zTK}u$FsW*%yK)i#k%I(k?MInq<vF9%_mcLOMc9|FJE&METj8hOuXqwaJdS3+g-<_*
zo6ChnX`ZD;zCo#3zqvL>WhhW)+POwXL^TF8iwr8hd8{S4I4q|q?!9^!@VqL(xZZQ5
zVJ+R^Vv33)5wVhKA9#g?nDICsVnRFvPaR~5aY7OkX|wnfaC9F$-FcFk=A&=~`O(v&
zySo3NIxo!xaM?VF!Hjur?Zi?!t{#aoe~F7au~^9$5vd}sFLvjD{jT})NakfS*}K>-
zq5a+ir;@eyH$VF)Pz|sskx>K$d>mJ?`u7*Z#3f^CF5#IxWGU!2Dg?G3R!uSj=}5E3
zKOtn1@*k5DFhY4;{|lhy+4vQ?c`}i+nRj5D7J>4hCzc|KHJ{B^QzN|Z80lkS;lrs6
z$>c8^Q`479ub)6zMv}KqV3Mk8KM$9UD#qIxH4avLi#4~lkJzn@Unpcoz`Ogr*-S6J
zS}*RAZha2~#b8ulPq#v!oS3i9b$iZSj<b1amM*IMOtHRQt2+O)bjit10(=P7?_=JY
z-*;Y}nuZ^viZ7gA(5YAJ^+VOOc%$-;Ke#woi7vUZXvYLOnz(LxN||x^EKADL<L1f3
zl@kq3OkuM0{6Y8(<c&MELY<pOhhqcmkdI}%us*@(&(9b;wRHx)<2h<ElNvNev7@6D
zMa>F#WOj0Mj~DYh_4j}MzS+!oI-3({^*eNTS-5=Kf7?n7PqYV(2ohdy-DA^5)aE}k
zE}i}iZtbo931*y(?joN<f!xbUDbH$XYem#H9t;e+x;RWVNuAKA$T(daVSbStUbfi#
z;mQ+Sr;SL{f8k?}<^{`yZD+>7#y5oUD6>!<DjN=2d;`aoF~-N&8w+?{YgBY9RV2M3
z!ZMM^Ou`rE$6EeB8?Cd+>9eIRE9yqC<Q{z)Rn2i6Me%7qbZ_O@VU$a2AoQn*k+>qj
zxc=U3JRMvurFl$*{gg6nTWycf6+Hc>9gnnA%n+jS#Pd%ziI(+XulYcudqeIzwRUN|
z5UdO0GiSmEj?;e?)fc0WHMK@^{23a~p?#Jmf}sY2PZMjGDb~S(9u}m@<A@0I!cy2G
zsfItRH4FoCkKIvNH@c{RCG6?8Tq`3>OV5%JS6<_--M~#k5;D`Y{Zc=(>XAvmT{p-z
zjxLV~JiP1sA}=IYP9xk8@7#YM4M2s^(~a0#);LFPy;M)de1{Yp`64n7t`rJ@?o86!
zPS6{V8O@&I?$&)wa5#Q-n%<fcnXD9_9~>#FcjMY`H7oKZc~bDK?!|Z9S8l;wQ+=c~
zVeW8;4#~VSIb@+FHz<2qhO!ojrFL^r>et%|#tjBs`9++lgOfwpW$OCs7!Wpgs~Lkc
zaq;y_r}=ksY3Bl=F}L_j54e#x7nD8anNNv^a3uct6R)1`Zfoz6aNr4YqSVwV+og>c
z&C5TUuo+ADbzFS|F`QIN4-pG*5ZfrAx!A_X44%pzM|aP5)4UvJ>Ki@ZTW?&I7$OPQ
zr|}`27xFSAKjwJyOz0&0d`^n7&^62CcPl0Cn`)fJRN~;ZSN6+MXYi`kyD`lM7ij3y
zf02QK%8=uES5MDA&9f^!d0p*%sh7%RJRXFPvGpHi<6vQ)_vc6p0)HGLtl0j!$JSp+
zGb45RW^g)QOLs`CtiZL!Kq)+Um+Z3MHMp>vy+-MT5-&Kuf8P1Pf$5wq09;@iF5NkT
z{?BJ;N>(4Mf1qcz@iOQe+g$CveEy2Da1RZJQs@QpDsYX~5H{tBohBDbxwP<<h6ahK
zjSF>?^`*(Zj?h~7($A_!f}YVva!5{H9dhlaJv?9X5d)mwoA=*nRWes0R?J`a<j<BH
z#PM=yU-${59u$^Baz&@9cDzb%`MtbScjn3cN3%nIcsd_tE*YMFU#OdRq$M03`uK)T
zNvHpE``j4gF3@gIJ&XSd#YZ(!G{nh3`PAagO1!Exd!Zhv=vT<V06K?HFrdBu^<8H^
zk6lHzq~E#us&-78$N6~USC*5-t@N}Q-Hbdzgm%g7TkPfRr17Z8frN*;#+@bL9LB2i
z^<rvKVqzY#aj~O9Oz&($bH4uNPmVL1Yum)9&fj0DKSJ7CS&LlG89~S1iN=?vtq_#!
ziM4qj?(wTiZQ%dCK2)vDO;Z2nM@C{LV9ddBl#_!ivTx58J0V$Ix1VJQlj_MFj_gso
zvEQO|laT8|0SgeV?)?pDB_RZ-!o{e=`;3Rayd&sy{j>O*l@*@h(2gN1E1R00ZVXge
zehdsKzji)c7TH~Fd+yMBga&%+3O;;s-W<u5jHAHC3~_XKhXchbE>A0YI<{w>rE!n3
zeO<Axv>u&RG<pr=ff69thv#e8CKG*pC4_=(f@DO2h~cKx;&F14^dX!4O_UBDt;O=1
zB96%^qrr;M?{;|g8asXYXG7r|w;6#WHAGh8{i-c8fr9*>YpZbtYO&`P1mfVWQ*YL~
z_ji7+wuZ|YPprt7$cw_u2OPi@RI3JC4)*uvLo6Lz)Co#{CcdH(6r?Cp%<cz`VoobS
zj3SM*Xo^=hnW-z=|2_gV46oi^op_vX;puy>6BcrWhK70oT1<98(m0gKM-1+E;mOQ8
z&u$JDzK7w_NEmj0L~3$cLnC6<j|L6LD}R3`YB!Jc$A6Y(8#m=}^K0r5Im2(iM!~>q
z{8e5`(DIB}<iJ+7?VtJ*T3r<zXx%FwxX*cURn`?g*!W&;vd-d?OVvvPiQC5&nV{dc
zi?Px#=I${I&D$cVz&!72=@?CXoh{Y9ml-utx<}XEmusX=h$F)~He|VQgo5EF`Y9If
zUzUzxubnBoJzey%*A@;-;^4fkzsWWC=xMN}h+6}Rec^L@;LM0h3`RCRbLw^c0J@OJ
zX%!U^=b{M-2|*B|+w4F^tIVK-0vj8f!4(vi)pqmTy9?imMMRF1V%>LVkid<SZo3Z&
z5cE+l{@v#74w!XOfap&*zz;wmI*s<?fG_rNJ;eYS0(5<xj#kBO|1{x=hGM;c?f_sJ
z3=H>Lti@GIeuJ`+GQ!`Zyx-1*Rr-YPMPyVRhNY$cb|on(SpW8Ez+sY|O{#F+`rqDy
zKaySxPmTj6j&4+I&^qOAkQjBxQ~c$FSgN45_iD5~6#|=TvFs+={zIvYlw)s|t1W+y
zNWe#cw7j?(hgFQz#zyj*vKT&HE1iGGTRXu>q&wc8pR>rn9|%4^$Q{A&0)4)KL(}j1
z_Bmq5ih=ca#;9K}UBoFhh+F5H39xnJkRVs9-$a9q%q_!HPbGP>Q*~vdk4=^75`@(&
z1SQ5llnHo}GCqE^5`!&Jb+ti@DAm=pJ@27zkK*9t3imS}Ve?^h8c75GDW%@G>FVsv
zvki9738MOB<^d!lEh~$H&t)rqju+hgnn5)E{MyIeEG#S<jCw*zN4dbh<OU6$eWSiN
z=Vm~bN|~Y7_r{G5Kf;<{0<Z!H@w-|luo4p!_d`uC_7_U)ztq=r$pRInX!c}4GJJlp
zGzt?H)dD2GCehWPkyF;L4WT*34%nepib$WO#Kqx6g@-G(*3{OLm_!SB912@~&&<qJ
zZbL#rW9x?|O1*q)ALX>xUk$F!z)yhde_NpGv<t5Jz>x<B2Z!d(`JPQVB@q$$BQP4j
zFCCSqdBkm7;+6ev`+u5M)((8^ere;VnVZwu-q&x$x3>#2F)_ub75f$L4-LtITSVY;
z3ilcs8n~vKUAFPD$#^~jW>lc1GNtZ`6;oc$40@22)YZ{wXlRnwm<-y<WK&qwZgrKE
zAYjn^9)}Qc;8L$&$^zg!5D1ty@dIr;z<z6JV-p2f3xe3uK<EIp)MeWBn5F9F%C8L;
z%voCxVQsMn@`{Q$baZqK^O;}1EdTvmaCrspM`irw(X%QD`k*$yu1b<pQbg&WbuTSZ
zf-ZH#Xc6j!&fZ?s=}Lpj`ikmmpUEZgrnx0DXLtg-fH^lXF_C~m&<8ysoQTd2(^_^o
zw_yUyT5|X`6H{<)EhiI`Djd^BC5Qk40l=}Dt|+gUGd4EPN3jkEx?<530;E8O4a)D~
zm>5g@43p{^rdmTrT3Y=#oVVGd4vwwh6vao7^7`7<pR6P?CX^ohURoLn*q%1g<?<Qa
zK)?bOS^UE!IBluyf-9$>?;s~gP2>qCwnWb<JAY&53YvTGd^vm=9BaYFldIieO9IFo
z^leDqzI_X>>#6v3Jn52D8N~JVDRy@!aI|Y{Yr!TH5fKScW>o|C_%fNn!KhedJh*^b
zyDO5AQ8o7DAT2;kOAFwxti6lSse*A~>3LlkNx=Hb%FF*T5ksNjfq}?k;^JM?8tvL1
zmX`FU93;rd$P-gXXJ;V+0Z1cR0#Vf_aAe4*#KfcJE)-NWG=_mbIGl!_9vyLYxieWh
znRNr&kY(l-vIWasuwaN^kss6cPc15X6^czBIa_P72A)F4!9hTm*nlQtA6CcdsSDzg
z7JLr*+c*u#9U=gsI5iU!7LZv?1zZ=%C@6%Sw}4!L&9D=KMZpgR_9PChlY^5pAu%zZ
z=K^#~J6`PTwVsUdfzI#l#wEWf1HY?BAVw6s-vZDJSS4!*lux1mySm^XGO*S;ZWCl9
zbIKVsi_Xr@v%L`nX#h7x5FuvUA5F3g;!fn<B<FaEg&KQ5z<7{k07W;>w{I=_`}=Ky
z_hh1>5v}g{I_oi6`=<nih3fr<@0<a`od8`i17JmUp2c8#(LH02pf>v<r2kE}HnBE;
zD)^A9Ac8)Z8u4c<YJdv(Zymz%84z<7Pv>QiU((vjF9#rC)CuUu)ldLV5Cfgk<*oyR
zgGYdiynB2cAKV&)%ki@Dz+85A_Ea7x>Mviu7@C@*0xu7A?WEUvz-_W<9EHG(XP7Jd
z`>~mP?$+1G=`q}Mcn~5MU33Ej1N0Es|3%b+ZOBjw;-t;-aXO)f9R}pB!y-Zj4xBup
z14NY1Q6F)73zLFnDKjO%$43xDJ7;E~+yF6lv)4$KBtv*Jn#osm?yU7Yzs6+@P!ynO
zXlOu5NvU7F5U!4vm&c~y2g{8EKIxvH*D)Iw0+m{YE{3<aH<W~giiZaZNULScNKgE>
zd0FPhCMVU_Ya7jnNn;FjoPWFMPymnui1DF?g|r_06oB?T_e1ox59LI}ymaWW#n!J}
zKzd@od%Qll3#3TR_xJa00W`3FD($TUh4Y6G#t8qMkdROY;9X_z2aAz+^9^<;2(D!?
zLniL~e~iAnAD9C)nC;2Na3lwK!VIy#+v9~yR8#?Wi>+w@Zc$C}O2KkZyI%VF-jCGV
z+##I?TO*Ys1+#?~SCw}XXZX)8M!pyUyk2CA81>lSbuPw=xtgk~_}RI+8em1Wz*7Jo
z89{SX)86)ndvAGt{n~K}9hpMqjrH}uz@Q*47ne7Dez!ceH8sXy6*N90*v286A3oHK
zZ`NEJt+m)c+~3K)z^&SwZ>+t%^x*bBx1}SB(n3IWj#pMz<P;U-e8Cza-nd+|I*<ek
ztpc6$;%R_G9$=<8-2euOh=8C+B8IdN5ZA*&PyVz2rkkT;Zmh2_#1~Ko$Yi&zt{Rsc
zRB~J8GrRB2^$Ffznw$e|PYwtZFR%7G&)JoI`Ji)x679>EY>-{>HIa7ycW1<FM;=T9
z0(y3tz;Bov8g_!U{x*}Gn)(A$6&@ZALLm?e<OZ9zZ}gz`1pD83VU%*(w7z!?AbKdM
zPU%V8u!P6Q$7>TXxIW-&Q?tw;1JI(`#>PfjULLG^Z^3=ZER)yOx|`5RQpe8o_R^_;
z^F+(s{A=Ej`;sqQj5;B2uY{oF_ST14H|_lD=B5@{pUROlh@8%jj)ovTY@Rz_gU4CW
zNJJ~m5#i!?Zj59OLQUl86509q_!<CJOW!?sbGm1kv+ce&P?H$%4i|D_u*&?ob4^b9
zXqCa<>Gp#blc(MV)g1>9d(BPj#CUi})tXo!@#<?>UN$_u^3iSnAa0k5fZVC8Q}gg>
zRuA{|pp1-+fC>0^qzhbwjABzPh}XPm5G*k4DU+>|4O@76G$|J**hE`^`#YBG-S}bD
zFFf4_Gav-1?{g$x_*fi=gaZ{2`~xl^hu%p?SsgnP@XHPk4l{Fe3<KbcPyuaycwC$Y
zuRh2jj2s-|M1s($01PxSrHBhZ0u{JU89RVf!y_ZpUE3_KIH(2qQ7QnTD~<*+2sri6
zbM?6gDJ*Lx<fY|WwP?x7$p9481w;lu+e<gTnX??c{x#ul6O_F^jc;ad-re6XVU_Ve
znSeFfKfu_75g?p%8gCA%s;>vIRN$~3mphTj_}t{Sc}D%HG$`}I#R{M%Vcszs9-fTd
z0rkl0AZthO6V_IUV0PS+-_29NgwBCYDH#1eUxMpWyQ$wy2jm5Ldf(j`;NKQ4?Ctdr
zOtz8j>doXI+)6KyKDM<9fEB|8Gq0+ux?Gg)2Lt=UX?=hYa72g_fKkU$3Q4G`CC%B$
z$;c?{6n*9PY#1(SoK*k%zvD!@^7u(1;MLjPjhw=w*A09I@C*S@pL4&tYH7-eX(+>y
z_ib$03f^hESnL5NZo{0InmWT&-P_k^1bzb@1EUMTlQY)8r02=*X%a9pGBWA4s2({3
z>Y}5qF&f~A6pHXml7A&Li_2OLDrEBJ0xuDn4dy+D&wbwz@B_`XdA|)yNZ9PEU5WtX
z3=w|O3Fw@Tt~RrOb0WR_l}Atl)GiP@yY<OV&dx!ZndBhHOKOlURQ|iZ-Ze6!U?%|V
zR_Y}_5Q3#QD+jTh!4<&1*c_LI5eQ*M^)jV*BOMl)re<a$FY&kK4n9}ZnTS3@MO_AP
zPkG+Zul2zVW!s!uZHgL>3(0P7ZVa_iJHHj~@9)8(jd8itKV&edt?ljNJEn;#`}(BH
zdk4VNvAegIG@v@lV>fhDIM`$@=?bjpMUqTHdV0y{t;T2nnaa#Tu~%G!byvw_5#UW3
z8Z!AkYxINEfsfGWYbYpqnIvKjg4j@he`wp?`Mh-;h|~vctgNhscEGvXjs=a^kHt<}
zlS-A3lxfwb#>FZ2u)ri8XOky`#<Mf2ntiU0iG=9&e%omY(BI9@iZA&;2!Kdk*4o<I
z?*V-1EJzd5y+E7v(o#0FW|i>&_y8A|GFQkUpj%36c!Y*lg7sCu!>`TQ-^eI;PGtM3
z=YM<s8^~$Aq1mGro}Qla&14EzEzH?!(>bTtevMOqo29-%6BU1-9UU2IROlKJv+A3Y
z^SUUdf6Yiv?&o#g>8;Rh&YR%|@brz{-62HM4o*IwU}2dC1O!Ch0bT5&xw&-tG!AjA
zIcqn!hCI2m8VrQ6fvlXIDWLL^k22sE`Mvi8Y63za@U!W|nS3d(yE6&mK-FVw%d*e5
z1cdIIHt&m?-d-_;TSbVET>1#kxBGgZ=r$2KP9_6Ztf8r?WO<;_(%08l4e)-PCMIh{
z9kzjA=WD!Xg8|mD79bm|z%;Yj*w_@B5pdi8`2n`w5TK6Hw6$f@sk6jeJGt5g1~lxv
zB46kK;D_*s;7mXZ21Cx^w7>>cPh?sQBH{sc=d3&*4-cN-)6*9JrYkK#Da!QnrP!W}
zf3@b&{pA{t+sTGJx7Vp<{UF`MxnKPo-MTg48fJi~@+^=snE}I@0rQ;-QqG%E|NGyq
z#Fa+Cet--D5jpuV$ea2hRbU8+!6zpq<kG8TA569Izr|3qw`a)!c@8HRml<_J_%P6g
z5%4?~tM1@+e){BziY+i(latL+3lKVnW@b`jNH`_7pMni*1X0yzVPTQk#0D{S;k&y9
za==G`ZmlNgbF;j%u9pN69g0x)P?=8#UeqM|CjkS<q0DV<hs3DyPA)Dq(pTs3ohFl`
z*%1*GY|Nfu7?rb&i>b|2+1UBIbyC9|2Nzco@FCG40bmEO(O^5vp{}J>Jk#N}r#%JM
z$=uTN2PmI3fwR)GwEQ+zsgVc_W(WYD(}Z6bf~|*0ULt+LOPGKZT7}^Oc*!a-6C5C!
zY;oD{2LJt9XF!)&jU#l6$SF8-m42XMll=fGc+$YcnP0uw@Iox`_DnBcd`wGAV;2<_
z-Pqp#DR{G6tL?3*gDKy*4!&Z-?^S4UF#W*9=1mR@e?PSJ;VJCD<owuSw2xO6k&IH!
ziD3{Tl2IuFfOABorQ>3smGBTxy}_gXpGV~XzaDvbeE1CYy;b;Ia5e~mNQ*0oRlp1b
F{|^e|EHD57
literal 0
HcmV?d00001
diff --git a/QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/docs/_images/api_csd_raster.png b/QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/docs/_images/api_csd_raster.png
new file mode 100644
index 0000000000000000000000000000000000000000..b24f79ed83064f7ab5645e9cbdfe5d5b00306940
GIT binary patch
literal 13426
zcmch;c|6qp{ysh`b(iEWTO~%RgpfpKEiH)1o^>ikcG(SvyG@j(X(6(eogp#CI@(ZK
zvkZ-8lHFLc3>k*+^Ii8jr|!G+Ip_TT`1L>!%)H;P_iMSH*L6KFA!l^dIoEAnheDw^
zH8qawqfjg0lP&SL)$o(^P9cl%-(imvXFUvDY&^WryIn$^KJVe`=;GmMcR|?elAF7o
zi?giMVJVrt!k0ZfT-_C<rJery0x1_aTj}O4<J;jPYh5)=-BBp6^T;P#x@wvo3MEU^
zJbu*B=kZvVpTA*ic{R&r#l;n$wb$?5@_FqF^;2p_k>_5WHA_jpzLI=@Yr+aqhMGt_
z-<h@QT4t-TVH&(Hdx#XXES?xj@Y8e6Rl+{kWzOvs|9$H0jjOL#Ico3FaK5M<c-Bi$
zcI~@*?cLiG=IBIB{Kx!RryILz`Liw)yyx%8tU#fT1fRIMunI<q6~D@ZLIs^(B?jNb
z{sz;4lHZsNUmbU7u%S@x$0Om@&q9RRQK)m=M`6ZZ?Ed}+%T39YY}2RbU*8l{P%s-F
z9;Oz%+s2M@tXp^g@#E~Fq05%o;S~6YS|kT9%@4|5de6hT^?=64jT^-!BpmW0N=g*!
z5>zqQR&zGJ_+#aR2M<!-zkh$uiVuYv>Sx|$q6Fj}&p12hP;xA@W@bE;zka&*zP8rz
z#EBc9dwb0bXnEGbHVyHF#YKNh_c}Q<l5?C*ZFJH>n!iDmg<HtZ;l6kGVh&w-LS_(L
z?8ZBb*&<3Wf7s#FU1rM8&hA!hVfO6YA2}6ESSK2}+;Xt1vol*nJ$z_!y20f5@$0M&
z@cfolo1f~c%pVU42?@P3dUbLK_XRsUJDa7&dCFjOnr`fyH^=WKB%q(MNMwejYyi`v
z!V@N8ps>T);lnIE(MkNraz7G{IWl73oQqL4ICJJ4K|)&kApTAp-KotNt>WLVapC;8
zf5U&&^t=x4V9b&8)f9HLHZ~?UHR<>F_nXpph=@G6dv|+on}Dl8Zd+Dor$vS5qeqXZ
zMOUm#Bh1arGOMaiUb=YkEFFLEo}9<f8Q*fN)6x5qD&-jrMrLj<NkzbVrzVO2^xfVv
z+?a}dqaH@ENVPK!^$A1X>hvmL-B2=>yRPJN=g~M=BTKik$kiDUDol+u-2`JbwW~Dd
z_3Nv~Xy~sI!3~2P?cIaZ#DyZ21YJEnz0i;lyE)v{^faRvy<Aj@t@dU0ZPtiX8+z=G
zOK?qC5fpf3Q*!+lOQVOc4g8kzQBi3zF<TuD`+s#U(p`%}dAM&Eyt`G&=NWTmxcReP
z@%#6uio3>xI*Pi+HxON%(43r{nK?PL0uSsRR5t`4+YtP;s~Xnix8YlchKBd`4GfGd
zEF1|A&d$bHuH-2R>ArAM5{kh1X^M-B+Y<wXGcqzp+Hw<UIQZUUs4;27*cucnQF41A
z>nLm~XY#yF7+Tc|mJ|Es<r>eaKFzvEvg&w`=F<m<UvWqq;&9}h!{LhKjYcMxDGL)7
z7+CK%CWFqX5^xy`5siN~YieYaax8em@Y}m0coh!KCR-6bXOg*8l-A+Hhu_!L896#;
zKh{a(ld{+oQO*6VaT^?)@W?e8k7R8}zE1X<6*@lhS4pS}7tDI~N-ZmKu`%fwZo;={
z>b(Tfxl2LPvcynzv4=~}txv<Lv*-gh`2NoFFRwU^f4`S(ns1|te<+Q~;gvAfz#HdU
z5#GMlxOC}K2AOOH8v{F<SFILMd?dJh>fI0@eRo`i^m^MB=Nv3+R`h3y9Z?t9QTu3c
zu_vvt&=>~mJr-SW;5X#9N-S|fSc9>bnDCgwj=^H&<mB8G;<l>_>5l!M5b*CXgJ(+Y
z0?K1sa}}y<O><SE<emQ;Nq)S{q)<k_PtT{65!n~#1IV~H=I50JW^6G2B%X-}D}ugQ
zAO8V?I;r%;K^ofH&)k_~#f#!U?5tf^i~JqH!VLLGv;&NUTP)a6zgzucEOPqF(OoeT
z_F46u5$JhrDK$X)iq@@$RVb|V$sdsL4WZoXmYp*;m6cHB<kZ$}9`uK+`R^!d)vdn)
zsGi7;4N2rohjv2ny2APv6Lz&a-ug@C^c`l|r3%#RJ=%>AHsAdluG%LzUP{khmtER&
z%#*#_j{TFx>mM&&L<|=CqvPtQLgAqCTO0od*H2Ea8!Q_)#I(j*c{axFYvp`(!_K-s
z;P20C5Y?hVFwH-iWlX>~3^qs0SkJr_iP$44Nobt~a4Z>&_w)Gj>1f!t!}<~?IV}Zt
z&Dj%SGG=7|VjPQ($to!^!_2=onfclq;n4T?u5m0>fMN9V*I*iMdU~38@g4pXM!4QI
zE+coVpvjguvPZpNDH2eRH%@KL;1rPGbMT-^O_X$7tP43q#=2^ctgJzGxFAP64!*`H
z`xUymxfS@$IoCzY9Fw)FZH!m;%a)((@=g%KeLYXGEH&P>YnQ@A+4TKKk20WuR0Od4
zL{&e0c&bjg)br}b_Httss<HICl7{k^7b{~Fy>kX?A3cTNI*d_?Tlbv{ipP#*1dXAw
zL)%ZsDHwToc}D5$>(4YNEE)Dzg*88oP!S)_|B${0?SDoqN~+bf%`&Y<s#Lo{Y5Gq1
zw!=@t1P(IC=ujh~I>rhgPS-0+w?uJ31-%QXdGqG#2M-^Li-`2n*4(*cc=F`UGAoxC
zPGwfPfJ#uf3aIEqu18c78gj#G`t`9`?CpSVzlrj#2QEiSRV=y@%!sE>pFT~9cL)e5
zw|8)0K^Y7xyk2l}1P0YK+?@6xGV&8iW&8G{3v&}(MPYx!u_-OVw9QOFvxGI<A?MtA
zsIscc9wzdAO-(aAHRHufu2o9TfM&SGUbOe<3bw>+qZAW8b9N8i!BLLG?(Xh{<%Q=p
zQU-vj&ZT4W{ey!wJ+1|p6QZI9NvEBh2zWfcqz{hGkp`Y7bH8hAxQr820t`)umuK`Z
zT}tU3f8pZeRodlLs5(sxA2q-?H8;1mv?RmpRxft<xV|0sU`hgNJFWc@wzId$+GyZo
zVq*cqv)MWLR&`eOPNo+Xo%QbaO(W){r)vmBsN)Ynr6}%l=H=&i7;VqPs|YBIi-~=h
zBhQr^H>6}|Yu~+lH#8!G>phXpHh;oL?Y3vxCN{6h_c!8)<4PWS%XepRG(HpLtJ*fw
z_feQf4d);Y`wqxKepLiIx1itvLMIe_r;=fRh-j7!r^b5p+~5~iRmI>vss+7=GP81;
zSaY;on0N;klY#9GJ2>-(TUP_WW5*7U!8q>`Th)a}C&Ra8K-s3p`;F^exbTFR0*ig>
z)Tsk@O*@flI)yDaE4X}@%o=l{U*(Ycjj?MbD#&U_-%)$GsRC}X=%J+f?u3T4JnQPr
zXU`hN`BXiIB6o-^2Lw;Pm&k1?@uU}c4C}ML1go|{l_6f~J!$FoZkKUv=>*waR5!k*
z%y-(*(vlFuEedZx^Wnn>yh`b55{`u>oXt~%^1oHZzlcxLtj}a6P`5_Yja8ddlQtxN
z2mYrNNxcL%$=l6rihwGvpD0#eSCtTL`AM_XwAp*jC7-k=vQkr1wMOC^KBmp0Pzl2b
zfUe4aadk_~3g2XG`k2$&^GUChD`9niW{Y7wsKjGFX+}fzq^ks3hS48q+!-!EVUW4s
z5&jF*%`;xglZEGWOT*fDeRyA2$n5wV!EAx5fxVuSp8G^de5Rhr6#o&7|D>f`#e{2p
zNIbt|#|XJGn-`n`wc|d-Gc!xLPvg6}Snn1&eo+wq&S<Ryp+HxZ8OuGdRImyOD%|(W
z(RBR|741mFiyuMx-xB6FG|c+y)Uc!GzeM^Vq0hIQtM*-5kGhWjuZMVKjf~U!`g1?l
z!0)v){q72Ey0p#~5%@jIL+<-Tjo^ieHg#J8bhTl3oYK{8tB+IcaKxNBli1gH@r1fM
zy-7>DRZF_OZ?0VCWX(g#=E&{GS}Fnqflv;0d9xB8re|jAdwCTCleuu=!u@;qo^p%o
ztYT3?JxuUU2@}u1Ufn-1U_U?AkDabNC}&f<`I3#zNPC_&TgOCu-m!e!24fwaaIcAO
z0v!3vRd=>f^KBzq2gnQK&9AvsvxyFEnaRn=;W)+bmz6a#F|j4StFNbYm-`tR8YZ8P
zl^<?3!L-6Q2SNkvjXz{xRrDDlVP$1Y6N@W1gaT&tH1*xx^8up@Tzk|cO`j*9SU?CC
zFn?-+-94i7tLtmGDtcvuf{?Jjvx%FV=rehN)v&x6u`?qz_2k;MYq8AXG&u*#-Um@p
z4l_d^s6>Y-zz1nf@x6PIvN!W`4SJ7^OkU*`I-PEW!MFtE5C}&4`uLLs^Cv1Rw;dhh
z7B+;be-%8Z;mPGG8dK00>Xez0akqJR{ru#=m^{qq;zH2fyYJt=jclWH7KOFZ84l8#
zK-Y{HR<7Cbc5r&0c%|3^R)|FPDYvS8^XBaKQ~3S+_w#Jok^zqwR9)B55LMIv{9$tP
zPCtH5C^=z267{Rg%_rb#rsn<GNR#va-{3f(7!naNw?KBGkwe46oESyEzP>QDyoaxY
zxk%IE0O>B3bgrdJK<S=Od_t%fLaAZHaWG~%pD*Va!_Dds9xQnZfGTq<?P4Qc`4i;x
ziSrj^{0t24WoBlYDNDgdP``0N<HU&*Vsdgum6es0l7Rsm!0ejd$#1a!l^B)$<jIaK
z)|Z~w{a&RkY72z|YyQT*chUy|FOWG|b%28{puc8jW)dyo&<u6`{{q*b7Po7j($xIW
zl3^g{J#K-Ji?FaTL>JoB#qfR!Q3h;NR1-?Jsehc&TOHx>@%bf~VPr$C<KQ4%m<0MS
zwttGY(%QtzH-$nlPfO8?8VOciOhW1cP=yh^mQ)_KGhnXkTcN3oO#>x(`tc#X8#iu*
zhKCnYmF7C#k=yOojnDp0;)i>J(Hj{3E6!II$e<dDYD+>H@tNNc`}UkhQniQ%ThFmP
z-!{dxZV^CBS1I_x|E17><kjCL{knM`8Pu!WcGf{(d<pg!p=ypTcE0+r@a*pf!1v2X
z?^r!_BU*m-Z|Kyp!=zsT=if*1Z;gf2TWrE1FgRD{=K>k+EzR!#!{y%iC8G*Ly|vhm
zbo>OkBq(1)HsnK>?z}0G>Eivbu=cybv7J-j$jIn@ef`7cVMA^0J3vi6KEDZ(CuL-1
zH80Lj%Uy01=G=DZjH#(<X7)@1{xhh!7?psM)$2DWe*Nmx1@zJ0-u^k6R^pijyuoa*
zN`myxwzV_67s5pg&Y}`Y>+B-o>c0RyYNySICnvCzmHb8k)=nLTh|VloV$ul{x(O--
zU?o{eNk<jEMjIz^bBfBWnPyOwrndtCH;0BkJf&<xqtP=C;O>;0T$ic3exVw?gssZh
z0<SS@%4Bb~79Mu6oD=mx0I1(n+S-nJKt01gfBswm;<L;3H77oqwJ;~KYu5>@Todly
z+Krf{DSpIdQE=<KwP};e!t(VtaAnYopVlBe=E;*M1)g-{(=i7$(SeJ3P%5aN<bU`N
zZ4?R+H_h*aBV1>8wX3uB4r}2VpM2kimblAJc!@#;jCImv`>HuU-n!pLH-f3=eX>(b
zMC2HdJb3fkqSJPE8CwMezzI1|(9+SNz(n^mumqMB*h|K@@X58c+N~6d{X};;Zb1MJ
z=*{(8p1An;3Q)-bezAkG2?^3sHJ2ncH8lmvHs1uoUX6KwG9RglIXjls-rjEP@BrjE
zJcrqx9lLh!JlpZrU!~%A&w&N7>YAV^!o-=e<{JVj3CoMNpg@L4vT`Y)U_Oq_5A^rL
z_^Zq|pjA4P=x{2_b%RAEt)5>DG0w60XcId%<<=p}v;OJHu%>jqr`Zh%SOD=?CRml5
zRV=e6Ryy~(9_n*-<={f03NXRfT0U3a_N<X46@0XLb891juY%WTG>w^>x*PW5yD_gd
zo%Lg0$m+MYw&I@Z13**c!Ff>h9-rwLuQdoDjG5q@nwn;)4!K0%Zh$bs4?V(w$Z17I
zMfru(K1yJ#7{hdeg|bW2ywFh(Dk#wQmCpBKVlr_oW(E*(*wA<tzo~JU<|!W~3NCPI
zI)M&lokDmGV177GCrn7Wq;*<MLIPn73LXS}%a`TDyjujjdd9ZBlN0P-jS8ZCCsXSh
zU+2C)npqAq>wxEoVO^Y}i9=hCk+t<xzP)D?!OSq#9S!)}6C9)D`#j!vU`t9$%Da9y
zF;P+V;^JZ`To0OuTVCDZ=%4gCaQ@XQ&8GWe1_!V+m%Ds=!%8N|3w_h`2uTJXkyau%
z_vsp!{nsx&%&Dk~Y!HXa^L_WI&oA9xnk7}-7;%G=C(ZL*c$a2_^4w$O?(go2O6=dS
z4^NAQ5fCN>1O$xq^pbQ{SuJKHEW<v_3A7k66Gpprgeh$fYGSOsQxixKWnU$sI8ZAk
z^8>MrdkKqg?3=-|tGvxm2U^n-#J1Ao<E5zK{wNG3S@WKnFG60T)_(L$#+Fd2X2lj#
zoR~=t=P@?hmww4XUx0gSS+ayOBEvNpHjD+!F?;n-uZo2m56E1XK$WxI<6HSxh?mnp
zPw6(xJd&Qf0wrAb7qG+bD<!cP@A?fj2;6h6>aQqshSe<-sYHo=PV0lZgMR5F2&x6}
zqEO2}85^Jzq+UC{?C!sKdYO;z)w<rHt<c26e_xU4%9$P70?ovq2J+n~217&S45qc5
zJu`UZj%6U)#?O2t3+1uvSECYpJPqDQ&bhW@>;eoURLQ0vk@_=5sPX1(H=mM;3!B$m
zhtJC@r=uvr%D)#bJrVX*FN?o~-sm>w;&lX3@Z{mTo-bytZ@~+zA`9G<Jv{e|ngUAW
zybXz*DN8hJId&tW%iHLiM*c~*e6N3U`bW50A9<VDX&n2av&!<SFY1r+kRRvpiUSv_
z{z@m`abax%?rp!k0xHN@55ry%_Wf;Ye91tj?#IPRrZs0oM{n-$>l=C#!tLa2U}BOs
zKRxKsn0R#SA=kv`&z~Ebnhv)O%yzh#*xP4r+Yk)?p@6HZO9iWt%xujS2Nxb74mlQA
zJx$@{Ka6D07#(#S>nb$?hK5jLs{n>kUF^Z!Iwuf@$^009J@9*|g-)@EyFt&bAfG6m
z@E=r+IqYupA^@nG{rmf3B|}ec8-menlx1vJ8On?O93pzv%@QtedwjFC_A_rYE2|vD
zVS$RURTWpZGXunEbL#14Fi{fUym`ad(bCegM@mYEP9ZdN9_$p>q*er0037r&uySyu
zD`q8(vm2|z1dNQ02S`hk)#$be+>FS)zY2^QoX)+bi0xv(yu>2JyTf@Lq0<QsL?RJ{
zcGDN$iZd5I3J5q97QY*m)<LxZqaoJQ*{g};(thpriQ^49paad^D&@hI05js|qR;j%
zcR`nfd7Y<re<$$rJpcdz=xii0Nl65ifOKbjzI*p>tAa;57&yV<EMjgz-8wxyVmO6{
zt_xV4tR^@|{i~vksq6-R5vR5(87c^LCRh~4ScgeoULJ5of-^TSZwjnw1q0|g!MT}=
z+q7wu*=TRAH{o4PjR6#0;x<s}UDZgbHVC!~e0K5OCW1xr^E!E`*l`L;u2&9ib33%H
zM}-p=<TIxBjD11gO1ME#+rgxC+>K-3Sp}YCK546LbLZleI(d<kcOpB+DBve7QVz<=
zWn^ZaawaK$@`Cd4Pdhy`JKNDSmNGkCDaxw%AAgI3g{)6Kc2pcz=*pEVwoZfpB<3lp
zsi*LTjvt=@rB6vqThqB4I6jym2H?2EX56XC%gd_(mIb))r41i?Cx_HknRlT|w?eZ+
zQ(sT-?#ZyNDd2kq>;Uh*TwTLH`G+C^^{Qodtb=&&<%+r(xf<++34l&RH@D|r<BN{B
z8va=Vu>B8AkllCKec)~H<X7dqxw(pEOYpm4dKElJ?nBGS(AYTj=FNuqL(GZgB^N}C
zK=tsO8*jbIDKOJ`j7#j`!Gk<eU>jreB2RCe?sRXkdwG=|DL6=T1=>!*Xk0s!oR_Bu
z55$~l)+KmmndBByDQ#^M;7&#;&qmX5F69hk;9+%4|M~tXE&PUUhZ4c|gi<x^61WgM
z(2$VZ(qhOdq;wW!v?5(G8-*IY*=>bs<z<|S`+$ITiFJUHMz@HkR62q1pr-$`vi^{q
zPXy1A$dPd>cXEBm975%1R(~hUYQ`e$iMGRj2Qn)aoad5Ab}j)%hn(5sYe=KiEM<mK
znl43)>P7K-`4e?7BCbIlS#yKQ%h6dyKm1ELhOMeLmXRA8k-L@^BE09<uPF$%vqmL4
z{Q|pwZ2x^9sSk@SXhY9~-;N9kDh}A^h1*$|i2efI|DAaFyL<8m1d2i!Xn;m*YV^<0
z`X9QIFu8o!X!gc5TpeZ5y7z573iU}g8BF$nbTt8*k7z*E`yC6=jQhpo$>|I7EZew$
z^Ab@(-63!)|I+i^&hbA;g6tUw_k}T%1RNV^VOdv)JLN@yH7dSi$CJt_COvn}^c37c
zjX(K$em>EA!V0#Z9Uv!`(P|>+(p@G`G6nn4%75|%FAvY<jzTAdeM8HV$u~xxj+?j)
zE~3*o9bp-W{k=<0j%d&ZT;a=!?Y{Q8Wn~s1GyiF5VEgW>9{|G70%~Lk1pT%XD3h63
z+TuwBmfI?pJT;qOBb%orCl4{&Fm2b@a_`jSQeAwua~RrHSa=F^<=~^&Rs#VgEj<3g
z4RM+)1a{-S?%n^y+!g&dv|0HP050XOd_In}wrrgee#BJc#n?JYK9nRwd28zhw%;wP
z!;8)K{uURxN(>BB&{h?m0SmK8lg(cRlhtt?&iwA(RW1Q)YHC>>tM<EoI?@%m%o5+T
zr*WVz7P$qq6MD1Hi%U!ELTiiS1|-o7%?;;GN3euQ`U~dPBW+1Hu*Mq@n+d6mQ2K^}
zPdj-k2EX1O{Q3iL+HZiG8wJ<t-{zO5NRm36Y+^TxoP0axg|K8CJvJuB(8#FOz6;+m
zW_;|}walz6*2xs;dMg^zc{H%tlF-ml1tJjsAnB1ak)gM58(3I$nsxxI1QRT)pr8e7
z<_tJu58X{@6ufW(u8x2zuy_dx2`#)KkW?@q-t|s;^c^tY^Ct`ce!X??4E)5z#9|aY
zGY9J9vJi_6fQ^H1Z)3J;ezxeW%Ho$}r{k4Ok(LI?gg&=o#MXnhGIS2!4|~`{69u9C
z+<y2O1ZYKd9!ElpD8nEPP<FQ_q9H*g&6LtuI?w|yS)8f?I<2}~27MJVgl;Dl8G^pL
zeZ#ToGjx%3ko$rg#|t)AcJ^L+D?7fWy*(W%qhP#IN?Nl_%$;B}J%HL;E#z10QbFp*
zW)(Vh*aWC>NB@bjns^+uIbj58Fd=FUoJ*(nXGafqx*kiH0+KqT55_k4_`RWU=$iDq
z6?;@33``}no+y^F@~+g9R~D!@N8W^fv}^rs0KGXek4Md-bjAQDSNcCxXKyYzJ-^C7
ztovx-S8ka&KfCA18nbl=XhQ5mM_k!sTyhWcCI)W`{0M;kpE43<ONktlrvOLlB^P<2
z4E~&>uun#LC~6C=ye`ySwQ9}JeAg=a+xxImOBa420Bo;xFPCZsh%ikPbeB}QU-`(x
zDO5cFD`R*haeAGVi;1FrM$jj)-GyhO<x_iq0)Eo0TCyw&6->6EUFb?$ub$Qb4f<95
zKaS^5$0p1$nmsc`LHRJTvgC-T!PrqJSb?OUnv~xWT~DNylOZPMlqYqj%h0cYR2XU|
zK64x%Rk-snw-ydD4?+dK2p4oGp5;elxNpi1$N%(_e<%s;t#jl}NwT9lMk0Ec8#yl}
zHvT&y;jyLLh#hsP?K{yo(6|PN@d03LzlQ=ZH}})WkGI7^Fr?0DWMt$(;F3QQN&y!Z
zHuyt0qJ#+=mM&QruWSxndW2SiP*sFQ5ZfET<3oCEhqrC8^q;ImyyI&DzA*1m9RDAD
z94##^UNkz_HX*<m;VKB{1<E)4K^;w`Zi7xCk~jeMh>#n_i82G^U@S4)DsGONfsUQv
zh7eCu`xRf`;*$|V;9PpyEq<NECqtM3Z1dA-|1W=l-EHn@U|{gHsOS*EoTLK>=Gsm>
zpwVD?-fg3|0>ZBla)2-kfMOdsusbzXzrN%u@SV09`<P#CFAJ_X0!GiC?fawxoZASq
zJh3$%<SXKS*juKNH?l@O)%ZE8{Zd|qn28tgPuyLhmRnj|;my2Q-d)zi_AkaQ@INu`
ztZHzn^#Ivvd8!p$Naxhi9X&rk50M=T{{DRr$~Rlf{B1mSdfp#8fOD#6zd76w8U`Ia
zW7E_3fP4OxpsS&A*)vv9(d+W-o1D}#-+bD4=KU1R)HIzqeV7OHQBf!d;4)AKA(_G{
zs9<>7{=V9N8-D+^*bzv^SY{UI1TUWZ-K#DQ_M_U^jOKzYW>xdBuBu|h?_I7ANw1IE
zzr*h`D|WjS>jVu~r-U==qaX9t+bq4~kbH)iL8^y62Fb2eSGe$kJ#`9i)vOgqb%~-f
zD|%F}<q+jMMNz0jy%31`#Gx|Z$6aiZ6NyfP%T9i-Ea`t}PIZ*M@a8vYg2Hpux&(Z8
z-TS;sS2_=Rl_DV_@RKX_GJpc}b&Ph9bnl7kQlMJ`hDa0N!u;Yrob7Cnhr-J6lkE8D
z=ydS?Yc@ZH!Z89~yro+%!@@Il;0|td8&l@cQ1z!o^tEfa(XxiQp83IqT*y7`JSXY3
z$K#L&xcXvJQsdcU5U_zlW&~usrKKS>k@VjvgNRmVFy)xAadW^fGgV!lZ&)d`0Ff|t
zJk-F&*(>s3@i8Nozj8TTgz_`RrS#iB#<G6Hw}I6wHV0eEZ1Oz$Hnh&*UnbID^uwtT
zH12B>WT1%dgF2dc=&(cM32Hb4I;rUe1%~bewRfv~^Wxh(paZr0bWAd=4w6KGEE9ZG
zN1#dJtgZ>1$wb96d7Ql9JVvX)AjE&^YqhF9Sg}bZ7EsqXZp<j_BkmCrw(_02h@3U(
zh_!I*DxD9Y{iU+eV;pky08_}b#9W|FbeL8Wc^RSx$<R!of3!_#1@A1oKU5;;8Ff8c
z#Ul2gi!q2M=#o7}5=XEC$>2R5`_nxdw(tW@2`M+rEE<=9eD(>W01uA>B!36}t5uyg
zpv=wkE>xOE1OR(<m>cgBRG=LJivV`wxXG>X@TbV~{yC+v){4@P12#YBcLR3(m>ylQ
z`CqBNzq|D#o=3r;IQ8-4N5}+$a@K>X)p>mA!+^Y}r)P|6AbB<C*5p4{t^x3@aak7w
zNTr2z{-909oSVqKf1gJg@KbU&A1q=}@;Y!Lz<9`u$1#V`VXUIoo=`p2G)AK3fPMmG
z4HHx>tW?<`q?CT^)-Apo@Faw4Yv}uXM$|PC7RqSN#Tg;ZOi=&OSmDpE8F5P*sRlM=
z2SG9<;Q^cye0OgMfW2elfZVbzD;LVY!+Pic)Cnb7g?GkWy}DwTsHg<kCQ(*cyW3lK
z-jP9qS%`VO#9EL5{~4^59E^aXYSy^aHr64>_Gf&{<KyLX-H8};leJ!GmF30hnEjVR
zkqNkU>o?Gn#CCN*+?s;h!<SNZ;_P89t*ruCp3{NLbAbb&Z%fO=#5lXhf@xp6TTJX7
z4?lnG!ET?|+R^)7TKM)qpv+aw*SXZfY&aJ>ciAI0@$>?1xqD`UMpK%4D`FfwM+>B_
z-@NZd-@rf&FyKe(LcVVxKv&Jf#|M?+m>3W1@*NoteyIZx;!7`{tP%j?YYm3Ow>Y9N
zNY^?<E2JbPZI6y>yY#9x0_gDW?b}~ow6%>@_M44HQfH}w%S!_$6-=Xj(z!L)pP+%w
z*6xb3xB%8j?RZyd9W;zDuI3VQoSK@-md`Dl3cY&~Qg(|=%JC`z3K!e9?xnZo9t3tc
zkdYR@A8MPN`(VACjEqd`^XL1|EsS-LVpRf|(F^0H4FFmVdo4>^X6S7VWe}$^j)g=_
zTakrSK7<{nDdsMZ9CFJka5y?2D|o)Qw;r@@jk}SBmM$6EF^$-+6SOW!Kd9l#lYS3X
z@gI0(TN@F$Xgy8GEK@c1mwHb)=OxT8N;ySX@g{@UV7v1X6iQS25@?`kSgvVkwyo|=
zEh(WQ_vhi^IZFo^58K(xz?v(=QY;6^LXv|%-Q`VlA}{t!FAyIcc29i=Q69g;=bL$1
zMgH?s^4AO#m-S{2^o&*`1lGd!C3`BF+-){@4ZZl{&Q`fhZWA6M*r2e%-W@-Aa%)0^
zEzuV&q_F1U0_K=@BojhZ$6PNZL3GFlOazwzn3@7jZS4b4@z^>7>E^WkKm_K@qvGS8
zk${f%9hthix~eg+SkNS<G!qjOf#BEYmmnju*?N?fT~g{g^He5*Jp-8an#ohIMB4+t
z`Vv@m&lX6^kyf4#4RnV1?%gK=fJl`8Y<~T+6n7b!%vw9-l+T(~R#!VfI}8iK83o+N
zt|NyQKF}E>4w!`)kO<jGN;NY*y|Ee{=-6xjO4N`w#K3w&8dw~*oBcgt{6Hqanrw3k
z1Z9k1;Y^r||FI5|3)evZjpLx2PHAbea#X>e+p=W~VM$S;W8&G*&GI>VbNEtrNxmzi
zcgtM2UoLVCYoseIAlEikI@W1${RvlxNOa&mHH8z}-o4ZFJZSU;Dd*3II5G9*;Ix>y
z_$k<#I661ja$Po%oT5HEe@)({dz6&Wu&kz%9|41mQ}8?m?J&}n6Fnb{SexI%S@K+F
z&Cw+=^P%7%F$PtaO_8V?c$l7J#5S+5X0OB^vxcVUA;R>9Z{g5%7dyX2<9NUg^K@n&
zak(yjUI&k03}`cZU~Q1nZM&zdl9825M#$CHgU%NFq@;JMFo#6q;6Qz1KrK@JBu`*e
z4=&JaOA4tTGvALvO2de7b(la}d;8fjNLxUEUjaLlF68s+4;_q&$+{EhLiK03s8fR)
zk!C-1qo$+|N5M%SDxv2zPxaS8D*L|FVVh?jX*kEaPcN@Mh>dj!Ab$>(@aTKH5khI1
z9jh|p8zYpD>JC-wJw0jHlCDP?l*ld9pD3S;N7ARX<)yjvO0tjXD$9OfevXpK+G6+>
zMX&x(9j$jnuof%j7iPzrK{$d9q6A^sf=V3u>wzPXID4#POWG1PBE@RggRC{c&Pa>O
z)eO-YYlmf_2LCp}>!s)}XYbph!PI7TB;5<^K~<V?75E-B=KexEVje&-UXWcTWM{X)
zo?E0o_H}EiZ^%^SFi~BNkB`rRMw_6LPos3Fw|COe>)GE%XvrIl3>mJr>jY^&y_^nR
zm}O?07jMeaux{XU3am}ViKA3VDQf%smle}<N>_{zj+aizBN=pB$;W)#xuFZwXJ&f0
z5O_7$xX}ru7}%j@*8Cqhujiv1cwz&W?5fMk%7iQ(g+_5o298VfqQN*u7G_IYvmNLY
zGv$Okch*nWx#05iqj=qr{5g1+-}C1j(q+%;R?r-BimP1Ws(bD9cCu<POHE8NJi@s=
zUv->um*pX*Oe9DQ3SdtR6!CfsowKV-xl|_{D+k6{mehxUjCbZoKXkyLI`7}V9}TWd
z-JNZRn<hSVaH)Jn5bQnt_$-~g&@~YQ+%ZPdyf7LmSw2ca5aGz4p!p68a`W@sA}O~8
z<xuQsyG&Nyqc(IW6yemevQBUvQmZSLgxitAgp^Yx6JI=5*ijorp4pWTNl)aHE|!s&
zfTL!clj`qBMIk-Y>FI>!PGr<+@z_iUDW$hitDxhF)T&PC{Xz0y*#^95n-@WB%1p+Z
zm*ds4xvJ4ni=ing3(nVWDXIDi#u_kk<pmBpA3*Nx3qhk=LGRA<aA@n02bSaSUW?SK
z4Z*LKpoMNjBL~=Ym-+4nD+zlFYNyKqt%rN_r~nvUGh-cXi%>TXfJU={yb~L`BO)Y3
zW_h7v*`XV^;N%X?es+J>QFGO-_}$xBMb_0D@}YxhU~Fvjt%{H4H^hJtbBBPr=UC+$
z%{|O7&`M52CgUThle-rwxfmA+N;!oKDcck68YY@%hdhstAg_4@q1Y|Z|GA<N2T7E}
z1ArBIWYv3C7~g(ghc0ktYLQaq{*s+Pnr-FkXcydcEKc=Ke@&EtrsTuhQYCLE+L0o?
z1=`{vp`rVsNwBX17VDTlF^M}Acc3adE2l*K97gDn>x<3PrjZ~IWmc|UzfUKvIXNX|
zUYSg7zMh2+lNlh8y7vRwJpi+1;nQ<t0G^AJ(SK7rojD1(F;KBYuh0frg@8yM^srAu
zGlju=|3IQHaA`0w2L2p`TR^}ehs?Ckzf|)u665j=VKg?7&EG99{vK}is0|a?#T<v^
z<$ffmiCIuxnv59G!Z7j3upxmERR?Asi|pd;EDyn%2u%%*eJ~d7c%_f<CjnoHhdUZF
zMMp+(dnG0102`|M-5$YB@8R(maFe$&1&8&iUF@Y?feRh9)r*2qyWO%*BUDWt0ummh
zHp1Y<CR-gku^u8#&wfva@BWju^LL{B-6WY=UKvsA%R71O!ZKV1rFlZ<c#hh+tN#yo
CF?tRF
literal 0
HcmV?d00001
diff --git a/QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/docs/_images/api_tunnel_comp.png b/QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/docs/_images/api_tunnel_comp.png
new file mode 100644
index 0000000000000000000000000000000000000000..39efdd9b301a672a9a711b3ee8aebc360fe4d194
GIT binary patch
literal 47364
zcmYg&WmH^Euq_q{9xOP75Zv7*NC@uk?(QB!a0?z>2X}XO8Qk67-QVGR>)v&L%sQNz
zBVE;1UDA6KA}1q;jDUv#0Re$5{!>H&0s=}20s=DoBP{R@NwZo7aNu$hRdZ6bHF0v)
zcQA&K)_1bAvURdDH~8XW?BHl_Yr{g%MbAY0#mvdc&XJpe!TNtMptp4}WthS}B>^4+
zZ}(H(5ds2L|NR45Adqhk0nuPDF7jQ;E%kWCR847aG3dfGP@i%Vi%LQnvhr6b)a~yT
zoQQ+gJ?Uvo#Zhqq3JQu=iaypUsmh+uo@evT!5==v<y~`2xeH|aZy_Nl1YSNnoX}L6
zCYmCgo1WCpDc~T%LJNH)`SWSBiK<ll*C*g_5k(3=iTAIv6TZp814p6h7#QmJW3Wby
zAQ^D{C@+a#@O~t*5QmEY?;bkwO!W8X6p+Cy{r9}uZ~yZUyl-;e4?Br4u&@TUwz5u6
ztUNBq4TramyCWpDv`C(wo=wh2eUl(bX`&1PUw+ab;hD}yvy_+!w<k-cF5#1t3gois
zQb)6;_6`mPleywXMn=;+Q~$jT0`H65%fnuVR0?~<oUU&gpXco-G_=lvXwt!vk(!2=
z*;38Mtw<iX{j8w*W>*Fbaw)y8Kkx+HP6G|n^73dePj`DOu4|>2En~b_NMYCvCg4;q
ztN98)$33w9lr+c8!xhH6EOOI#+XE956W6CJDGY7*P!O#;Q5hM;iup1-phO+!rPsP8
zo1B7zU^2-BoVnhfo=>>AgW<R=QgwXZkF4Lne?MMnP8=Bcx%Jr6!pqCYm&E7E&avjj
z0s#*X?{vDHWW7{}hJm4oI;Qllbh`K=e$=uFv-ws}j;VZEjxt5+_@3V0O6w)|uqUgf
zx(M^ByrdF*E{AW3pJ@wj-CfUCrQO}R?CtIQob~nf@1LGjaSMiqhA3%hSbR$7jt0SC
zb{!Q=Kn{^DQ$`$0O3IG8Ic!kXMpNjVWhS@pD=&8%3IhW}?2V3&&bM#h)Rrmu_*OP=
z4-O7y_-#ErxGie&I5_Gpi1*T5S2spE)=F-<-lu-T4V0TZ-sb%T%cI*0Ta;(?czr-l
zXXx(k4h(^1{s>Y@!ubVTu3c59w|4(#wyfhPzT5>|fT<>S+sg@4BoY7c${TIT-4$N4
zq_CBu7m;+OiDdHTRe|WJH!Kn4`po&kJ@-Ac^BqgeoX?Fjv8;OkN^-pObKpEBo~w7_
zHufR>zB`_&>7ECdkMbd#T&?*OEIvMdb@LH3GxPcFZCyiDeZ6Z$UHKsnUPR#XvR150
zQ88gZ7>vTh!&7}j4bp&84jXrail;7x`1QL6iaGWwB=R79E<sw0lAe75JPtv(AkA#V
z)|*Uc{(CG(+((DDaQA9Hc^df_16OCFaCeA<?;jNz%aOY3LX-OFCKRQFv59$Ml@-GB
ztmdQXqvm{-;)9uDY|B|CpN?w}KFiq>5_b04P5#QtO7bP>5{=rTp%c3IE9&a%$osim
zj&TMD2idqIKh56GwD10g(jn%UUIcw4DXREJ<%e#~<@(2^-i4|w^zbESt;T$+;jHZ`
zI5ad{HiO^ma*zTO3+ti-8WqCsto3fPOq*xbeUA_#-Q$o778$Q6h}dUfzS8hvD@tI#
z))Je=6wFG*!o!oYy=??e<AGE9Lsnpxba{K*H!~9-MC1_+SlGtKhF@41B4FZV?CdJ1
z=NQrwU8_?@xkfCkHP99ybZOEiR;oV*HJ2myeQ>UM1r;nFC-Rnwq$QcFOW3x}C+z(9
z>(Dx$Cv0CyNf+vEiH8#zI9zyTWn{?d=tdj7*V??_y#N@=x36D+H#+WB>2*Rixtv%m
zn@nVjUhhx%R~q(1**%@qPvwZA#_D77zup`6Md0`6ipSz`+I?AFT^-2~Xm86ny-}nb
z!Jc3?uO%P8dwa!?R~VFphBI)5-1=IiS5XlRo5lE#VKj+a%vg(Gt@Q&0ej@fDOI!-=
z45<D*!;JgTo1iF<T0nqURaJG<i^%dHzf!`0=9C?t`|#Kq1%Jn?is-eYF3w!M$LyQC
zrbfoUA0Vn(tM9STNXpeFtwYzQ*NZ{KJ!`dCg?rD^v!2tNu0My53Ur>fcCh#DP`N~P
zbcpEb>7C`2Zw9n{gjgY~RnEF}tcP2LJ=L2rNkp)GmRsQhx<2QtplUW_>VE(hRWm3b
zt?DoZX)e^hn>rUNp<wFgDpz7ye^^rrcqO`MU>#0|C_nj7qSb)vN&!dCRnu+h`Q1OY
z9&{68u9VC0??&mWR@DN_L{ehH#>(n>L18unOO#Mue!5ZxH0|6@%?DczVt0aVT~KI#
zOtukV23BiUG!_Bv0Ga%~jY9jmRke@$SUh8@%LFscqi^bs=o8~W5SS1#W7XK?AlsY*
zr;Xd`0u%kG;)|GLsKLqysMJS5mWht{tNwW1o+?1(wJ`P##RHZb^SAk9{A9YGskyX`
zIPg1UrcyFPM6mSY2dhc?zpnd8Vt1+Jxz(tvrKxiJjOrp-xdJgWH8nnN!~}R?=#;T6
zmVNWHdrsgi60FClDRRRW@1q=XR3G?hGr7&}fdOI_kHYr_VFJhe+T&LHCnz?I!p6cA
z7#!ZuR#`sMLz$&pqG!yvyuqf7Rn0Eqj55Zh*{pcNdKtp+Z%k-zk4=gi*&Fk#EF*6w
zbWio)X3e!vxNAUj9gN&Aclm}K0?$0|`Z-mFRdtJp;~>7)K&QO^Uvf}F-gYjQqT=$n
zrjejZ{SBLhm%0yWv(F6wG|5r-IurX-N}3rSotYJ@k6QX3<D9k$3iFu{)|epRG_lBb
zG%ORp{b}f;2%5Vb&U|v`_M$xRWvj=Q&VVWEJ03bPrT5WRQ0m+Dy@mYiv|X}bQ&yUG
zzkZf)zSbFrc;Mbs&i}^~-!wbWiQM9+X`8z>QJBxNnyGPQbG-lt5s`vve={B^B8EYw
z?W3T*K2^w5?BFPMW<(Tzn&*c}wkGIqo6~L@S8q{ypOC?}d<<~qVYwT`V^l;>R=l?V
zv=&88Ue>`9$L_@}gY5a?dgrs}t;N=(!Pz52?<83YITxObqS1jwbjvMrPI7rG`2zee
zy1|9*ABl{4+8jgl|8%2VOM1(7B@<gLSh^ZOSr`^9*-gOV&_m>=?<bTpMqGyWfY{ix
z#?F>(n=9N2k6Wed6w_+U8~%_4&2G#gA8YEIuUDMdT56Bq2?eM3wN~1+BR5Gzqi*@`
zc9xP1fz(bNh1e%o#|&<+Ix;}Gq^lX~O;w_7Ek#^bsBW+OG22-9Biw<Ua@p-IQ`3~=
zddE?HmohFS!MpiLX&O0g{k_BP)G-DFs|+wXkep1o(MtVXZyO-mE`pOUThKdk5aF|Y
zjjjy1INO$9lV6!IclNqGw(Vp5P~mujrt*Rn6%i4$lowu5?O1m2jlcG0N^*pKOnzeo
z3+w&j+%SD~&C9my&Cal3ik_GGb>92!777A(bsiC4`Rdipx0#lRM-wY5GV<N4KO*uk
zH+^XB6r|bPE71-$gBX3{kU^Ywb#jG>JmwYMT_C9LpJSLu7Q8+$8)ddj<&8u5)#{Ij
zjY>hIs@VRz*pQK}fb5ETVt%6V=hJ6Q3)XK&##stt5R+W3jg~&`@<;QIXKO=$D_1J$
z=JY5jS?TwkcEdXL+E^=4w3nd&x_#;0-0HuhfW}IjUHVXKUD1R$1lm*5QIXNNsf;f!
z)U~ePtGX^H<m6d&G(Cb?v>B^)5tj}_0_m}hx>J5IPU<pxaFFCh2tYQD9CK({1~=5O
z(&>ld!7I&uVkyIB@VfelIMr?fP8xgATaa9SUFKZ8Z%}V$4QqMUfd1<|dzoh08vyD9
zFY3IO;+K>KI$U9NLj>!3&mYI=IkFxNvzZM$FZ*7&Ba+}HVuetQAB347c@@`6qTNVw
zgLJzIA){C>+t7N#PrvsMKy(>$PuALgylZ8SzGS8|Hw8P|J=xE`wT5-`#Fl8&qsU;5
z4uN`;sq3kzsB_}Opd)2Qi{T&3%yZzQ5b_!-;)vJOjZPf!{-_k2P9>8f5iP{q@IiA*
zr`JlN3u$c#T_EskN@vDftA-Atsy7qJ%YKv77B<(%9X7ExS|}OPhxI@?=*rYIgg={t
zT>BymEDt!YYl7F@eAvvFoNWS0*2Ab3_Jc&M#>`&M!Z<FD#HU^+nA~aUQ5i20j^gUG
z^o5;X7wu$7coXr14B`40#O<2R1SCCJF^;R<)iW^9D;axcyWX?(V$&FadiBN+#<4K}
zl`J)y@$g_<bNHN0b%vqcq2%qIpTaoV$Q~D*UK0{_*2tdbQI`Lk5>r@c-ThSTvm~W5
z^dU~BbVN3{s83Tqf?u6100c45Q&haXJ81{mi(PMh_!t$oorHP@vtGUDYkC#q?d+&0
zIW@Ll>YMh8Zmc6pT)Ej|fO5(yez%X}H0(%5MmlHIy!`i(xZr1BUe#CJlpzn=mfHlK
z$NE^$OXC#U#l@SQ?&-??i7Ul%gX$BjG6K&ESiGlsB|5+BtRiT03YPnW8v*yCwPLAr
zw_o@xr+YbK?fOpwo|H5bpNOVHo^;ZB7{mk&E&|T}RbD9PwYb8q81T%v)8SHKdFS&k
zxvP0CPYkB3(4%12x61A9*_wHaiJfm^-{r_r-#_;Xs6Xu8TAocKdA|<vLg;u1=H;Me
zGif-vAX9^oIqum<z6@k<h$AZVQBu(wFWgzG-@a(X-C~t~=L>YwA0M4?ia_q<7?1rW
zr`xB~BK0pVT5Qt~v#yl0qffMXB2LHG^e{F^VPAkf=I^P`XW}!=4PALdASB2d>)g5H
z`OinMxE~Zh$uCmg8$9aLX0*;MlBtg_Ozm-{{gW93`v8t5FQ;X467%O%qIz^?QqXT(
z{nWEhr>ITv_mlT(=C4m?2m<BHY72PrD_^XRVRLFuBD?zF81=@}L{;lTF0;=V_Z5z6
z_ydX%*<HNl=Uqh2myiRbArJ!4rB7M*B|c9dGz$84)xk+TeW#qR%shlZpkTz*qZIg^
zWyBw-F#MtyPj8#$)G}q1#@=d3IOpp9O^)qv>k&$|t9CEtibTGO8(a<f=`4;15(>qa
zo*+P;eV!toDgLIg>}PcFx4cSIVJOSpQ^q=O<^I_nxQ4S{{EugZ;rZn}>U&cC*?7EJ
z*bo=RDC((aWre{+tMLacL>)gs+hGU3mB({*v-E?9CeNNEZ%;c+>CLv3<-V;Wi#x0m
zCtBKS95*Df&cx+wU2`d}|4Q(uN&cR;tvX#?WQVzGwxrVZvErXE)Ei-9&bn)FtXhY_
zpXU_IYBsrfqOETPDrBuU1`Mk?QD(`EfgrvvJuqepf2oA@fvLak7?hFLPYNW(O&Srf
z`_mglmvJ>J-`$X7>Kf}z^7hgob7Tp=-6hDX7vq3Hdi**hnFy81AYf6ImNr~mKtOK5
zxIb<gmBpZqj38!Z)oi$Q2&sfpuaJC2=`p&?T|7GbAZ~ShWYe)%Ty-I~VnPoA>x~k4
zDV#YbtiKgBStc-lBc{uZ;(cnAxoo8BZ^GaqDk>Z>sjtvIttpLOa2OL{&vs2l_IVCu
zl4d$vW;oK+0B(!t6Sg@MJHDsnzCp-y9Q)FAecHh{79pyrA)}!{o`0Ls=td;yxDX^|
zZTW2KV8E@JNSt|AaLW6#k=F9iA;pR<CK-i?4nEh+nK-z9e(05`ZaPh7Pj1d2?Di||
zcfUv&E4x!JsI#dgbhkZKgb26cs9k)zA;JT<x4Bn*m1@1F81}KuqEk$4J%fO|{pQGD
z{HtM=#OrZ#&5QwdcUk81<8keI*(XsvWSU4KxGyAIUOUj(%@JOl`mFS~$gbGOajz3S
z0qi5X3qGf1&+cm{5ZjoEc9eYn&y&p0%UTE6n1bz@5Pg9`%+9L@L*@G{4QEz(F4XuC
zHixSqnIjAE%lR!40@V7>^h!z7jY8&79;a*apbI;8I}`Gw7V8J%Y`RwrfBqZ?=m1ie
zvNz!!JJQ=zUAa`QPe>2W3OPE}*sZsmkC(zYL#T#Fk3{S)OnFPw>h09fk5#2+VI~HY
zOGt?~Z&mXBdRwn_5>Ht;8hn9S15O6!!Ut<O5^rUkcUXRh3IfcM&g?MoN)aOFm4U_r
zC58*AN8v{vk->W7bd^pg_@T0Lno!*J(3zzfaP0(cL0eDY3hxCUc6uH?W~nYyhUZA%
zU=BXGz>DsLIj)+mZ#LGc`=6)KKnjC%<=|S*s0;=5i-@e5*<)}I5Sv+c(uSB+yr32#
z7<W&7MEaFq$GwlT&ISfco_AGsj;~AU%3mL}G<hzD>QN0XO(ka=3An{ROmR`qZ`Q4~
z-f%o{iL!anORtn99l5{8UyR&8py~MRx-zpI?gm*q#wu!cNrsKS6*L$bcfo^=_8d6*
zV!LsZdIYX~Z#2f*st*VReEqu3lL$r!HruxXF$nb@s=Tdnkt$A{nAfb=dJ}Sut`k>|
zCzsj@S!~lf#$`Hr7wb86Z6Y}q?#}$h?w{7tGEbqECGEc6L8<qO)>u2=s1vY0*sA$-
z$VsW6BF@hvi)K0X_xa#7#k3#gvRhAtb92em?#ED#wJlv5?(mFbd;3RRvBsfbOlYGO
z;IRODpKrSnTc~fVqH54=|HQBMLcN1WcN^)_6CV1-#p#<YJ`yHY+~3rH;B;j8l5~tQ
z#hkUhS*q>>4)&ONv=vIai3(3|sH=AM?zYj8&tr3yo}zC>@$I(7@@bLa+dnr*%$jEh
zN0IsE%@>xMwFmvBhV`MkI5e*XuMfur(*-Bi5>ImNQrLFOM6OpRo(NnjiETaXx;$
z-mY)Y5XqTvsLTBIQfOWx!P)t^C2od4kro;;Gc2j1>@xvT`i-Ujq~tADD=sFb-@AHG
z-OI}KQr*O6X^_SLktxfvK|K?_wtoE{jVR(68Uc~6e?}ox#}fhH8AbwxI_jWDWG!me
z-`C&dJpC6a54t9Ix|pZ*ktb#IApfQ%bn|t_R=U<0j$3;l@U(G|$ans^`S^{O`XAum
z{&_X2*HcLZYOcXIzSf3oP2Hb^Eam2vk;*fxYO^$@#L(|D^t-e9*r;FD>oC}wj9kUX
zzU#+*PP|wOk}PhOHL<vLPAeXCbY#*5*&1_u_crUUNE)4e0jG~{4412-;ZKFwXfJJT
zZT--@14{*e?AK%btE)CtSc7=X8#8igEhau#go9L*TkGyHu5mBCC^zcqpK?W(`lI}_
zFcpDxIZpRzKgfM7K;0Hd8H%2VY?B3Ci8dz&_$lMSMn}@Nf)+V7tq!V)!c+xvi%L>V
zCgZv<ec4S!5?P(|Fe=Y)cw^<2(SkEDjdk`L55(lq73QxlIvMxr7nQ-C+BjaG0!_#t
z`zZ?OUiD9KuEynnWQ;56;oB+C=&kY70;6xxpmEpvYA0t+)mDE!Hv531+|tq{$d&QR
zw2X|Rczuy)+HbYHiBV4r^_K~oeU(P(=F!?))a`5OLL*HGcK#cD$L+l$L|jc}?@Dj<
zhPQA?1X6ZRI|Uly(gbNPUzE(gWTT3hhYKX!SYGw+x%ez0zh55wTE!O&ijHpNUn5-!
zGfhi!)SAJ{l<`FSH#6-A9|d>Z@DWmGagfN&hG*y8y=P6MCNFd#kU%sgT9TtbGcA4-
zq#onizv)4M)1?fbVpjV4Z_5QnUT=cr3#eZwFA&bZot{Eo<E=(?(EG$E!V9z}ZUS+d
zK-Tmu5JqKe0c@5L`q#u>aF{!fiq2H1-}LB(HxUu(s`ZepE3cq7AA`k2AhNm`I&ANB
zd&_oKZJC~;{a<^+*-rV6C*(Lc<v#9Wy1qQg^+$8Dr#hSPTO?ztC`O=j{DI6kb!f!I
zQvx9jm0)N4fgr3OYc#A?qPJBZ%h#!d*QIM{hSisdp23m-uF=A_TrMEn#RvD-<?k^;
z-&Z_ORz8V24*7y-rv1qYY#-|r2MZCPOpLK758D{hv}hT#wH@25uiwjYvItmQP4L6;
zoN|@=M#2XbkqCe0;exbdypx-+wSFF{Xr)#Y<ed^ZGsRLF$)#In08T6}Yt_e?U>XUE
zYV(As)#x3GQe}R-J6TtGQ9r&TkTf2v9ICXM_CW~`{iv^}_DTO_adLDmWk68()mD&I
zBQ5><843ktT)}>U2?V!%rKM+z3>))R95ze=S5;;NgrrL6{#w^hwVC~c_FlEn@j?d?
ztxtE9aWZC-stP*S%6xNk=T@nCnNI)ybjpR&--$DBYc%KL0Y)o@TeD+w<kZ+02SL-O
zGZb1*^F-&2KcAFUf0w`10ltUvoM`jM&N)5Sv`=CrP2BQ~nQz<tg1>vlC}RzsX;-jW
z=YXHm<ikxD7FNAbMDrwhLrBm^bEdMa{%}})HD7nb$yq$HkkWpOfT((A6*j`-frB2Z
zo=_2Ge9TgYh<ZUz&mKpV_HusZVrsM}6OMqov4StApp;F*MHj>eUr5UzC)lMv^?<=<
zv%5Ew;)+&TAb(TKtaV`vE$uiTVtHNck*&+h;d~}!-k6a8`Wm#1ek3bBqxHB!<rFVU
zbB*;jyDwQ;ZEsTksvi?d-F1{xCPsHwe%;e{V--g&Py;%m8cy<Bsb!s|var(N`!nQ@
z2P=%b!}S*Qy}J04NfcxME&zral3>{_&L5wqJ$ebY&bWuqf1fRz2XezlB<e(bq(O)G
zX2Ba1JMOO+Z3LesYPCtH&7{Wox1NYzy1VPGEQ&2knyJg_*mk>3k-l2jCYd1FT*rHn
zrVC3kPd4GFfJp}C;EFE{LQqTStDPy${Xep%4hBaUw#_8SQ&1=>_l>^x;*Bat(&L4}
zJzj4geD|iBvPj~!Me|e`4N^vPE|${$qj4Z8Fy<NVH}uum@|e#@tnlzxnH7dHR}|Ff
z(UZi18v}KsuRdd3)~Gv_@WKzvL?>;a{l%hAg?)e0e)Rx+Amx^dalPgQ4f=1t<(huU
z0wi2+hIVb`Ob2S%11fCJsx26N>{I<Q*kND&kfw`knk`&sL)1%$F!$}~vq7-Ud}Mbo
z2=B8sXHPbAQ23G1GaoMZxA4`p=Z{uL;J-G6IE$^M<+z)avvH2QLMYAPRO5qA!{gDP
z?L!j*Y|9u}gVzn;&1y9Az?xloil!yn3SoMT`-7BxA&K5%O7l6rEuwN+*BzZ(u5oo~
z<MGyctWPAF?$R_MrxrNPIS%^3!omIFS#8h!9}-aU4dl{=fivy4#y4m2q%p1sOCcon
zH#wSCVqQ?Z=4)9Dq-V!LI^`4;#lJA%6oYl0|K1?FC@Rdi_&}%)H?y3QGE)a{=h70j
zTf%~FBes?}n7G2A!>D=s7mJm9oX<qw(!V=d?nzUWv;TSWu(!36b@JfbLk#0ejvfr$
z5~t-#74$K`dbDh&YAjZTDUZbY{iE1;=$WiUAj#+?MkCHzy`6dDP5QB}H6<cxEr~Zz
zu4!xj5jCzZ3%h&TpS7LQnWC=DR_AlxEa0IU<^%%KqB#cRNvK%)G>n9c>m8wd1ZwhJ
zI?9^u>^&<ie+#0cVO(x<#wzGV`kjpr-)!<Z+yBJ%gbx2H_FWrU2um!8D<v3}Ewk7r
z7MFAtoHfamGQHZszmCj%0ZqG5x25wW-JbBx*Ir>V@V~(oSdVl6yGx{YEm&%UO?cE@
zFdKQ2su^nVN(*$R3R1rt)89(Yye-9DWeC?<d4|8f(Ua@{0_%#fTRS04HDe||IAZ)3
z;#jgAKajpv7+1q2P!8_&N}G9{nl?zy@7ughUvc-|9v@<K7V1(GrlzdlYqYiqe2SZ>
zoKZXF{5y~XO<#9Tqh)XP!oyytZ#K*>@72jFl@ukdEPnC`Sr=I^r^5>;t#fnsrA3Dw
zC04H4`<G6Ng!=3+i?e*E2ITl*%~5hGKNxCxF=j<D%TxPR(#zUIrd)QND$Dt<+2hK5
z%HLJO{b`oqidDjftKN$^%b`I|$8^%>nE47j4$oP_N|%QS6-!xDljj>4a2X1%Rz=Df
zzq!U%l~zoghhLJf&3A!v19Zz;iNRk5kx0i2(dRP!Fb{5@HunbUgujj-A!|`m@2Y8h
zPKnCc&3Nf=kW;hTF_q(c!{_*&^0kT4_f20%L*Ztc-PzdS&Th3;|65_BJJQQ#kj0s+
zrIG3?4w-%tlUjOAM{ee+NP}u5!s+@g5qsSR4w47bqt@}tt7X*~h!aGk9a45YG`0W|
zD6(+DE}OLZSSJ(jPfnwR<tSN{nl9vQuSNN*3XwzEp8pCzt0-H}`Nz&9J5Y?bvVQ=*
zP{!Tn(ApG_dS)&5*RsPaW$Tzpu$8<zV-)+Y!2Fu*Os8i`!|}4DU3pR+k>+g4;UGQT
z4+H##<K16kLv)@0IU~9Z8Vh~-ww#FS<5pp?4rZ8Rw6(cvjL^=RsW$QaYFS62uv)YU
zSCx@Zlk@mzBEMRo^F(v1ToK|$7|Pv#<jYWvhJwT8d~9-GC~1h5xJ239WBNYv=z8St
z6xC>hGw)7Qs7Z78K~hWO@^!hzPH%#LvdkGvgW)IH>v96pQbT-Hh&+_wozntf6I0Xl
zMgHi@`Sx<Vl*yhF3qir*3I}U8L|#9Q)@JEbRt3oOtV4tRgY#Zva8{-#G(^B;>E;^(
zSse<8Qe*k|M2pV_R#r6Ry0f3()N{BoB~arIiA;{-iv+(^486o*kLA<67C%xbHf1)r
z?WHTspeZTKBGCigT0|6E0r192e}r!R$^P)TW=;s+WIzYF?V4ydp5K1u-(~v}(8?iw
z5aE7eCo~*gPRmU%Y3EtM%X#hYa(`IS?0~T4z2Zr^ORIAczo93iiL!kQ*<146q%w!5
z2F3X4fA0x!{nj-G=Znh0U2ENK&DWg8fiplwzoEA4UYE+<y(tWzi;X#}PWO6RCQ`?d
zAyyI=m3Xmc%zgFwmt@q~g6qI>WwE`h)0e8WhX*L$<&PbuLoZDp^&j+3+q#u)9LY?1
zcnm)sjpwluF4mMeXu>PqoC&EjiGNtQzPQfk)c#;b)n>P(d{=lFlOc2vFv$*Mec*7t
z<7ufBRAxj(MwYPW)`ADp_C;!9tq~Pa@g(*qPp@Jfj$Pz1M)2>{E94LiOU%fKDlVq+
zZ$yjFPWImm){rk$Mrr{uyii<|*SLylJT)2S6zx+el})^-Sfopl)%H5P&GqRub`XeL
zx@;W<XEUe5#`^T4{y7hVsj)=FUENX0StU}#v9cqZ(;-qrX(IyuJ2JI6XT>2mcYdK<
zFs&LqEZMrI+0AgDj^|)GOyMvQKEV3>Ig~~^?p-Y;#`GQf_b<f#HS)3?Vvq@#2hRks
z$qMu=Eb|8X*!YB$uzOdvXlYa)42r2I*`-olC1}0*S?KL--5HiEFg+g;Q%%iIur|(k
zA*1X1!2bIC=A*^2R~nGV%C5|#iajfE@!oqFj#Pd2Q_r2S(~Tn9-g`;h>|&6rb5&9*
zU+MmlCAedUXfgLDAHxRa5AGTpz$*aHD<Pz~%-64kli!g!k*V6EHK$h=(h~J=kjEY3
z0K=CE5{EFGlGbdvM7*v+5&z1-fQpTM<t}#=RwEbkL%4XN%H`H%7QAYug-wLtRnZJL
zS?Y_^M%aSm69qUfVX%(vmpd<h3e?<B?UxWoyC<0q4Uco@_{I6U?a|Q~p3#Y#Bi(mn
z-#GHkuL&(Eaj_BZjVDli)RpWXrq(mRG+BNT_Hh21ox{+UUIydV%#tOG4dmJGy`a>e
z?Hvi*MhOI*p|6`6Q8tk%Ei67T5HwNgdMg)-wPmHcau6D==~1(`g*TN&Icdd+enh9w
zM;Xe_*m-682K9E?(2E=cjmga_7Hk}@2T&bBnsst{Gn?~={MCZW7>hAnW|F(p${}+`
z<7uF8qtBCW-U^GiJ$)CuuzaS@K&KQdH(*GDHaxgksW{@z=49)~vi3^|-im)F_{7e^
zk+n`P4l_R5p=FbK<B;njH+{fNfllen=LrJM`?om1ce)ty<7aF49eYqfQFg$g1UJtW
z#UynFmZ3-B1Ow}@Pr9<asRR*;4Xhf3hcp_@0_ybv<s7<5X0`6x$?KLD6UyoRDLH}m
zVq>S|N4WuqkNd~czBfMJ-N@nl<IyGIko(T@knQAjO3sDsIr*CWIxDlTwG&gNGeTs3
zMF{8x$*}Pny}!hnt~2I?#`)9C9D9wsMz*gA7Sad$8ZVC3+E5_^avtoE5qN4BxWkHg
ztbT*exAlBb(!!u`Z>de5??0YA^UmY?#_Z{4Sk|TWfgtf>Q`Q+khlex0Q6x+xB7bUg
z(h~7qEaI7hu>n0eokBIE=2z^?LFKbZQT(RAViZURQ904RD%ggWn=6(q{O%*FDtm?|
z8DEJ|j#`#gxzM;Zm0>E2sw-YyZ>6J?Q+J>;63?_S0{XJwvD=fnvU!+~!LLrlI5N$V
zs|AG906ym01KM5vA(i*v$nDOPIuA$s=5y#oNGVpq@^8MRhbdCdX3mQHvlXw`2?W4%
zyJKOBnszpgWS2X@JwIU3(Z>^J%OWWm+Uj?>330gs2xMeTyZsbtCHeK)(Q1HxLwVr`
z>R<j-He%LWor^5dea`3wMY2%Jq<})<tDG9gRYWa`T?1DZq6(tXV4N?y7rF~Cnf3L}
z0nLtvlqBKH4qaF-OREL>QRjv+oQ-+F099D{m@3O#dFZeVdI4VG>g+YVE9!;udB-OY
zXR|0>O%8(Ty1p@SpiQf&zHrQ$))fN{|IJ93ktZD(4u}f22!whBZ~j6XRIRh2rQb{F
z`hP}L^i@uKaCS7nXUk*UR!dgM^TR}6|EOD%oMssr3tJFrvrLuyg$}SA`1|#;LrKi9
z=<S?d%C~%TcAw*oEzvrKCMfo=;0$9Kk`e^SCjKb(cqaT9OK6R#)9J!IEZ>pFioWd)
zaIf%ZA(VXMic>fAVHDz=`7TBT=}R{2P&UnROz4@pdY}G^j+eN&{EC}n96=~$X`ph?
z{U%pSo8>Kp<D%;O6*gdNX#&5Qh8`n*KC$Q4_qGbyKt^zsK5J3roKGPf8(&<pN(0v#
zoW?DkM($+w2PvrJ8DFxr+Z`$;9Jt)>3Jlb^Adfe$#{77dEX)e{;E6WJ5l6J)bN|$|
zWme8!XMmNM;7CrI!q=~$UVDWTBx@=++4uZmI@$E3Z>?$OpG9F_A5j5qYaaI-x(}fT
zMWqg8&+`keI!N>wpLeTCc4AT}0j3DZ>6H;3MUN7K>hbOGP_pj^KK^cgNYNpur6y%#
zifF};th$XV{gyGv&ZDL5cerq{g~LVvyJgvcsPPFOY&ja_0jTmGmwuJftXzeOmORdf
z?>GF>dPIIR26am4okaeeV_Rl0sVU2X+cB%;9fh1)5l|QlCR=2Nnw@k%qusHbO@G%3
z*8S>N1Pj=|0(yZ44q_rA7JGdCT(OeGqs(zP;L3kQKcoQm1yso?q&%{f?iWPwvkP9C
zId(gHy`)3~Ht}NPdf)iY=`<pUN~<4CC83nJOe+`-L>moz!)7YAEq~m?lTwdFL9ESk
z>duBLXH)G-$<Q~)j8$FRef3lrQzih+J<YPn4?%BFT2|jQC;KTCl}v8t*Z*iJLeM$n
zvTE29=t$r?Xd<COcV8e|gr#-&%8YnGH*$%l@_IxP;zw2*-{`Nt9iVx=XjVHuiR+}_
zHecWXOHy9(hoa&58hJe+*wskF1^$7XDs4qwwUL?EdA2&Z@c?6EIkJ+5MNr6IjcveG
zh0&byS}T=%8y10*lN~ZWs2n~<1@>Rg2R62>nJ+qL2tmaI1N#mYUr-me)?;I>jpH*W
z=n-}J-EK@zON%C76jH6i3^l{ManVRMY-6yi=?AFtE!$!nN#f(Vy{TI}Sj72)w7}ak
zRdWGffW{b)t}v<bSX|ujrfthgK!*#hrf>Aw%|mjldG^M0T59#G53}mpWw+hKITDMb
zfwM@7z+;~(GIea*Zk4n8<Oh$6t<BWCt!3ogvh88-o8x=@fKoOj@sm(W0W~9%cFPsU
z^`IbZ1=QPg&C2vz1E_>q_bGTUGPzpbgws=n`6b3oQ$~Lemt0FY;ucMwoHn<hqE)>w
z`4#_q9QPL7c9A4eh{%d7F8e;hE6vO)L1A@trJQD`<a79D5QKl8!q*4(Y106O{CHOg
zHPj4QCy9<1+mn4=Z^pK6c@lV+-mhq<k~1K3@mcg{e|>1afYCtc`CxwqwtiTn5(q<u
zjSt7te8WS3Vy$?S{tT`Yq8HFwNcdS)=zgm1li5^y6*wO8>NetmS5h@C6(ox#MU)?t
zAv3X~CrjC1?JSs~X2nC?!h*LCaO8UMYPNt|D=We|S1$bXPv<+**>W_IPg{+vBS}L9
z569hpU?(71Zd}jEm6bSmcQ%k}?qI7u;07;JQZoR})lb{Jfw!fwf6KX~O$KdZ5LF>(
z5S6m^*?uC<B<lJMKApA80zf@9G&HZ*hrR2Asr;dny^*Bu;_|j3;N)Ps5CcGq(Hr)K
zGx6In;<&xs%st#L*$$45f^^$`yns`u!|A~WX+6C!rr=a2u2Y_~mTpOgR;AKpP=LgA
zU_@-};GDPZey?S_^u}4Q=e^MnV}YVemD+#n4NT@Dz7O@^td}*J4CFYyn?8(BjA3wK
z2MvW}4%g-yW7{!OML0jnR$OYKFVetf%`B*MnmMlxli#On76%L&SjM$J{OVvQ!h_HW
z#_7t@XWB=G1t;$0C{dnQII_Dm&Eh*@S~C1qPW~w&&r5+gJ2~f5zHre(yP{^e5m78H
zsbY9suxiEd@Qwmq_B?AH`N!nHzi-C>u#K?`XaGQwnJv|oF5GI?+ZeBR__bVtdBX8I
zA{VMnuTGoKs!Yd-0Mr>mNAp?R@Vn5m0xu$Ra-YiE9;x9_iM9bC>HL!FasU<%&VVo~
zUk_;%uK{mebu~+=hB^*R9~4l_vA;(Q-#o97v@|+W3U4bd06RN98&BGHce**Y{z@VO
z^EA0Sg~hW3DCA0Fh%?$f{Uo0{Z=6f{pQVo=ypnTSliyG+-80uQQP*<oPX_Q_!i+#p
ztt=Zq(dlHm{_0A|l|@*}BB~}R=c1JjM`GM;OirUN>~{<ZGtnAYW|yIq0Yq)9=iP1?
zLmLFO4aV)&mEqxZ;b+Y-8vuqE8XBrrWfWqsEhU8%9UTp*2im{$S9v+Z82=OP7~dTM
z1OV7{b9ZO5oTasCe{sqDD#!P7J;e)rW{RpyO2VtEn78I09v<!=9sq>zT(3fA^8LaK
zuglvP{*1=JMnqR=^a7C+^<*KjEv-gy_d;~Ed{&PLEc))2_>oE^Wjt0?;*k?z&35Zn
z+{GBORoojec>V!}akS>Y&)f}Bl)SxP9(<NXj;)nw#reCYmOev`&yucLtvx~4LF)M@
zf7yeC;k@Zx%Oa(YXOIx>#Z-m$C-UcqYh{nVtQw8OW)LiwO%PO$0uZ3)tat>3gh@QE
z^Z?G6v8)|1`GL_<<BhHWlc#q`s`Vmk?3e4uqw;D1Yj}IMHdd&ZzdxP@?Rj@f#>_m~
zFq-+@KR7&mdrDT|12vSgxjEI&&JJ*+BLIB89AO#DR8T)<zwN`fJ>N~SO)gCoBr6LG
zh&-fzbD`yZq!;}FT3*<5hPd>ox7;5(6vKGlS&R|=Q){SZMTwTSG_g8N=-E7^QqmQ}
z90NA4rXdNyTEgITKK<QG<usHw8f977?QQsGHSIi5bg;wsOVy*t-uI_%4J@B6;d7Ys
z0bF<#*HV1)$x${vi)McAW=s0v?DbuEc8Vp=YpIvLJXcNw&c7NDx`&-TaXPNf%I6h=
z!L`UAx_y+1&?fzeii!V99f6u?skT;FrTRF|=k?j$iJK5W{E{EFwzT~G`Lm({SVEe5
zPo}1(BBFFPRA<;BWceSy0f_3J?r#55&3b0<N2kfj$@~4BDB5&a0PHK3qQdoS5%igw
z<ZyEFLo=?kCz8B>*L-c~<=wAOH`cyg>bDfBY$$Sv$7W($YmARSVA0UGMHBUGn_RDV
zI_)RSoVl4V5x7#5J0D5&)!g?vK@NtZX?B&hd*uzD``d@&7V`8_C-*Uk$z7IbZdmHc
zh|k_GAAB>k{TA~!y$?4DB#5IZxw%|B`d4FZ%3k(QXNmnc#D}iQ;w)vORhwe3L?x-l
z|K0VX&rDgJT{iO)IG?Q&)@qCzM)CClzV4rv<}ND*fPuq~0tzHq-l~70)n9K!`>s&>
zNwDI5=rw+B^$_qaUyYh=%Vx`z{EJPR-Mx=CN#qM8y{<<+!KWlG);QwwK(31IFmF#D
z?~6iV_l@re&-9Zj-a27V_$!B@X^w%<<oEO_-SB+RlP)D?6l{VmyG|wuC_;L@a;My4
zO<kc>&q;6=H2ooC>Pge&>J20kEFa#A`#4cnixr<S8REnd%Mqw-H%|vzIfdQ2qOy{N
zwEOz=Sa>*6OKU6L>DI}K_sj{yivTGpG%+!8tTlZ*j2j48|7tYo@?|r~Sy`_=(j!0B
zswm{@pCyQRpnU8t&%t(|rT-aBO&~M0Zl};Ywi&~YKrmzRL)6JYZ%?mlsg`UxpKfKz
z{mO2Qvc`i?{evih#F*Yo$hQPS@m#r_#y(t)GGEm2ty6lmxT71XRptz=!hXE#XV9a8
zi*dP$s!K0ne~uQ)dconJ{3%YY6GOY2lV3wNpImPJ&37)j<pO0=LbJSx7boL^1~SB?
zggXfKAZ|5ZmYDzT*)cO)v8laXKrv6Muu9Rx-ku2n<+GO^E!8uuG`n&f#Jw&%j$IsA
zk3nH2?k(0?TTW8FNVLD);@_=$GVG0I^slVEBs&jl`(&%oBHy~(Z(C-3k@exdWP)QS
z+zA;=OtPN)2TNQMzkA91M--Oq4~z#oHvW$>I{_#!KC>OW1(9)JN6BcriiRp4%M)Y4
zmwU9qHYtF((?e3g1b>}HDdmhK>;*(yqUfP??e3ts#NvAI4bxmhUV9IPYWo&=JWPMl
zxR`RMSv9R&)I@(%+(cvn@*}d*4!PX_PLZ$2d!k`jT*KDZ-rHorEHNgZyC9^{Nqxym
z5%Gj#$7$%oiwb(cw<<1JmFAiZI?M)O*!FAQcW78xq8a?&_uH|ul+@IlesDw(>#Lq;
zAnj(C_izTmdo!(wgvT0;D)9Ulh<BI$#J&}lbMye00sfaz*7`wy#;(BI18N$#Gc!uc
z`q7c)@qHUWCfMBC!euu42nK`SNd>0q?twrMY}U}12!4!9i0eHNrgAzW4xB=@q@rzl
zCH^O*rnq@Pi!Q6GbE;TdWo&jPgA|OE=lGX{aIu!0HIvR2`7}hPd{4-S3Eq@N-S?4I
z5|xm&zNe+z*^zC!o>cd?9lmxlP(b!{r+dq>M0-;CV4|Am4x-tShNq<7wE|S{iL_C+
zVs`dPP_Gz;GL3s;bj#-&mX2)k$|#X+GgDp4{=(pzt^~R5JM8WAW*9>_wC9f>KQ0$c
zGtdYLkvrBq{o#?2jAl#J`~FLPXv$j*2<ER^?^dfhD}Y>x<vrQ)eS7t~nNj`o=MO{$
z5c$*HHsR6H(E*|aDJ5mF=V@aQpmF8qj5wgtqtPgVh$XnaPXBDX;G|;3-PJCjYg3g5
z{F2u(N$8yrXm^f$rRP)*zJ|Xbogaoah2t@#5d*fwwo|oS(zyDo3`358%CN08Ce_Hb
za#-Nh!-!>09Q|u?=eHb7%ZvzkRfs4IkN{05l{(h4mD{%DCqwM%yK#wZ8sO`(vnQx{
zCM%56TS+A5Oj)rn)Hl}34Qlx){}m*&*unEdSg%*qT|YeN8gCZZxP&Yr0|u4Z<X1Gk
z;*_QV%Jr2J3k-D0^z>x#($bPEruL~kM24lu#EShJ-J7SFukLk^gB=<+8mXRm$Rby3
zZ)dcc%k$CBc}wZ_gN@D&Mq_fQO5-ki!DAyq`(~=e4>zaYPJI}cy66I>Hp(&_d`VRw
zq%;$jz!<Vj*+vsOppM}L(jc%lT2&t(duo20$3OMz`tz-F&G4h)wB$j(jD(*9=$~t@
z9E|Tfz}Khff_6`{4V=m{Fxo0*JI4=Rw;8<s$$b6liRP;UVn=!#nYB0wg9-yh=DvmU
zK3QJqJdm28n8v}27GJ06K^JGj^rB*RlH$cZxqs>1iYv+Atvx4aK!_&<-u7))R<vnt
zsa_}UU@QuU7CpGvKwHQu$<9vdtK<{f@DOJzxBuT!3E?))nz7K|VAyx^=v#SAvQLAd
zo<KifczP*NpawSc4fL!&uKaGjus-?yXn<G_R2}sNe|o~Nthjsv$(}GcHEr}8AZcKW
zPz`PLg!EL0oHU4*SQB%M;YRB$#r+UER`Zs(kLbZ^xVtmB0{!$2g{_s!N;(L$_y|;V
zve^|@a9q7%7qe$f?|lt&5uiSC{0ueI?U=q*m*R0X+Z?7|y+QfKPohT31F`<6c`9|g
zX$xN}?g~%bDjMV;xBAYNiOzdOwVWw?c8-iz(<!xhyWcncvRU;)nU@Y$z0aCwnc6g}
z=#JG5&Z7+5mJ;~empaaD34$L!O%^!>fAa)k=+nRK?-Bj>Z=$ilXTZc3j_u6s&J>6$
zd;Yjs6%iLt+Xen>?V|%=Z(@P1ojqC@>ZeG^XYYGLaQ@C^M@PM%2`izrv-kk|-1ovi
zt1D1A=!6pWa>QOsP1$W;U-z>WWYStYBD+o1+W7pc)!pOj>KM<miXSSGKfmTpG$hLs
zJ04sTb#T7f@rSoU#tRJ+o7P?0cM0_M(@GO>ndoZ^n*|FhYbX4k+j%DNI+)Aj(AMJF
zI9eB`Nf|;p(-7ubNWMy?m)O=@rAOI2G5$4-1`&$rv^=$y3ABlTD!9N=dF1SFXzp&x
z)rccK{r(*XPbLR1FPsP^XUQS9Y0w=U@iE)*7sV+!Q5vRnCORQy%#Y=ugwHDmSxhE-
z;_wI{tgX6289wtU7EN6qr)SK^dk?)AdI{P9irk^lzXhF)Z@Fn|m^6lQ?+fp=wHy_7
ze;@VSo?@o>S1Lo&R{!)E!5Oumndr`Cp@KW72P3u@wgBilAfLkPtDi(LUKQrA8W$|$
z5}mA*kRuEU5enT!&qjS;bs7~Paa;-pqiQ;;q~0L(pG|)icP?l@6y2Vj{9}36@gmUX
zjEU{EF81y0TzFQ9gP|U_z$>7i`=M=*J0rUD1NBagyV;3iypr&iod^>XbK~%E@fr3O
zQ%Fl&Mg<bybL`VB>91KGdO9mgUXsJPQ^Uezeif!RWpm39Ws$exkx0gZdtbV|_(IHp
zeuscAIcj*8Rz4|d`(J4DgAy*EQ00CZxuRO$-XZC%jTR0k7<L4*HG+k{=BGJGy@Nnu
zdEd+0MymmhzQ7V=B!|L(#LA_W;A@9TA>|L|S?JEE)P{=A$7loCns428z0K~giO42P
zY$=t6Ma3XKU41rKGN+?$VJ$11==XGai4d-NX!xfn86G&-xVmy12~n1qoP;9G7FOEm
zkM2h@Ze-cB*AQ>6{D}VQX*}b?YIkQ%Q#>I>tJ<dI%dg13sBiKb0GlR6=9o{~LxFt4
z&?EEJ8w0QOVdn#h$P1?%Z-jq8%^seUQ=Orj)5n*u{_u!al4_aQ+E!j}EtW{I{*VDe
zoqmYsQVTE0Ade&%4JBap6(PNNq47N*I?i`{KK1kBwrs5(M$7J{rk$v;dm;H;CSasB
zcZ-7B_rYm5`ka6NhP#j9C8RDLJx>Ir5k3u&BPCOI&oaL>|HTh<u6`%?&=9oz1@m~$
zUbOQaRmd;endbil2qJj6@2nh5|5dArL`&%e_l#$M|JGzpSl9kKIa4hS0{;NfV2{l4
z6b5!Y{{;izNtCBpm**xU0RXnrFO+RxN5iJ6HEnDXM&{w)WmWl^523o(qLwv#4wUy!
z(g}XPz4c<nqq|!sviy%eu#a3pM}_O_%F%MXQmP$kCh~sOK#969CTf(5$PH4>e}siq
z-A1%uVm!-wI}##>?^gU{H_UcckFjH0EJzI?GyVAxl7u}#OZm0V8QU`PD<0ar49t%!
zrt|G5oPMv?`)WnK8)l2Ot`_jQy73iX??hS$tMnH5kFBgiEb)btWQ?^ea;WZz(cei>
zacy44^boOcj@9urXhLe2N1JJ8H{7R41Xd>sBBVeQDfq{}mBQ!2{;81Qli-}{_jwS~
z`d&O&&2WeL8kt@r&#`Q_oP7b%RYgd1coO|iwP1Ax_z;0PH5`i&((kZB6JjL@0DHL`
zuCPN8oi~O|E2ihBU)DIpJBtM>6mY!{Ucpm^_!|XjVrTtL?SCpj(H{6xoEwbhm-f!t
zfca0EFR$$Z07|gYSD^;rCkUyXKTW)F&M!I`_Je2XMb(l3!WLd-fNp7SZb6)8|83QO
z4{BR(CQQ>Aiz8yjv6TcG2Ejl2GN+Pghkez8imRbXJzOjnrY6+B3R8Wgap1}9vd@TV
zr5Kx>81-LQq<3Cj%V)YFj`2}e{qIhjUBve6sRQ@>S4iN6AN4!)5jmjGuVEgDtOx&_
zNOLxgy1tB_xuuA|kvag6;G=zjfBw`U6)j1bm>4iqB|iZQuXG26ZYk7yA;o5iR>-HW
znD%<2t_d0GH+DWi)CzP!9cr=PZQIo3S{^t<;9}rWuX-tp0Ze@(-hnC^Ua)srXT$Tg
zsp#Hy%2HIGnx$pcbZy_XZvoRyaTT!R4N%N<TiJ<!4ZbBDnEf%c0<146GJ~`t9<{7U
z1sIYV03jer4(@pwG|Dx>U}>SDj`uo3n3(svnKJ>l<WOC3-YpetK-QQf`LFsJgD5~>
zeZ}s3=g{?F-4gSN>9~{l^MQz!B>~cLF!}oAvyY`IZO)hc;0f2BfoC5!l9wV8KDm7)
zli}1@IC~{PyX*;5>ZM$1GmDGHbvU!9iU1)fnB1f@aoFC;MbAsi6;KSo)7lH-$mG~h
z!s8!b1O>zXcg=47+q1O0Iv46Hf#JLRs8Y^aE@XH|f^Bpf3Xb3XNAN!yAALsX4^<s-
zAlH)F)`o~vkP9>6=uOP<uj~X&kE>o6T^fGP3S__@ulTzwSLTYo2Xg(*!Yq+}pNsKC
z*_Yr>h*)BLi~rsbED$fDV-EzD?svQU@A1D89K*QmC<E37WxZOofwz9zL_oYF>Recj
z^dtEW7y|33ceTqC`^qyBj@D3-zEA6>L`Laq;HsXUgjNY)tjHq9Cs2R@6|67eUC*`|
zBRg>7TuI-{2OxOCsrk8b{^Wh-kO)?Nv^O~xxGMr8g!U4x*Cf=WBvk(Af(+B*k(fu4
z(shbU)4myEk}m~uDtNlR3If!|EJqELbim8?*V<}70dzDm-88fR<oL&Aizos5?dfl{
zeVriqF6n&Pjo2WUZpV0t{JZhm2b=_f<>a*b*6UhJ-)T|rn%sPSv|zLF)U@$7`1kH&
zTKW%lIh;$}lihRxK{nXqzgdw;Ob?;wi*<iX5;nKT<>2F01Na_YLsqP?vBtZ{(m+?y
z=8jm_Bf8oiZ8YlL*!-{rtUGEWSfHPr-q*L_Va(5#KWTrGF4q#?O4I_&$<4c4jCRyB
zfPduAT=c9k`~LeBG0M?Dm#IYQ&MQJc%whUII#^Z^o=e%htfwspH>{h+J9WpH-Gp3D
zO=qaVg%1#-K<xdpZ2F9~vCOH91B^AO^JQq^O1g18Y<WrMy^I1#$*ZRwBJ<IhoREe>
zLioX`FLysJi$_~29A9UM-zO1cPqA8@H~RbBxl2P6r`mt7SY4~Z_3!L(e0c(#Kwj1;
z_xdxKrXyB2wvAc+ZmYPR<>}<XWQm(|!Lk23<hq?Iu<q5Gl8%~;<Q2wIKx3rMIq0ya
z?3SeM8gC-)Z#n?cp}~0rpH#>%D5+~&b9r*2c?x5ud3=~EG-V|G3jK~V9y^3?;oMwP
zK6PCR!*IJ#YnGZ_A-smcHLW^q={vkXE>`xsm{{RubLX^etsbCe`$#gflaSzW{OtbK
z+p9u#uzYp*=c+QKptwF&%B~IE`t&P{NmR3Y)A>Z7?-usqaDd~2m2L~7D+7l|RAlbm
z{?9g#N3qX7l`Y`I#*GWK<!hzx2>NAfLDTd%dxwZSN$!6mL+VG6IChRmC^EOsTI!>z
z$@M8Edwt9mwjaSExMsB;Ns)Q{1DI^tu*;FkUYu<i&1rYU?S6a02LDVsZR*ly@&cl%
zEDrwwa6`e>2d`D%^I>XY-^Y~xbHp3tcX3^|n&aZlAof|B;B4u<qWcAWenI0${&iw(
zlsV+`rc7$*SL+FB6;GXa4CTpN>pAy?n;ER68yp-k9OR(kYRljB0#tZ)9o}EoxE2ZW
zoUe33g;;?L(&Uqae7@{dNPoGvId!)|5_q)@`7eIexSYX<O0q4_x6@qRsyE}w&*9~w
zzIXV=fzJHx?X8HIShZn)WU-BaDVU(EtE-~EJ|Ado(`q+OZ`%XbU|HT87!`$zf`S74
z!vOo|2J^)+FnG7D`LwII_y3V~)?rmX;hQG}L|UYzM7p~h1q7tKLAs^8M7osjl<sbj
z7Lb-M>CQvv&hfjy-My~;mpEtMnR#dCd7k_J3<5VdH;Km%*$Whu{rjf6XOHO%lXhaH
zPFlpILics7A7KwP>J#II%li8y28fxbmb@H>+VzJTnD4uqSGZ#x4v2uq@iEZB$@6Wd
z&?BQvhpz0}k#bxj=hDbx$@XCmO~==&t8-vb2WOhnWp5&GYNW0-c<A&ux*#chyobo=
z%cl12S9FYI2zrKugcyL_y0NLL)}jvpJ1pAw6APS=y@PTRkg=&)47;A86Bi%kLO`11
z6h!!}Mt!ItU12d*j6*IN^`o}df$O;Cs5!hl7^B8=iY|dcvkQ2`-OtA*_wRPOWFDw5
zVgH^a7#UM#a(j9m9t^|uEMf*m4(5wmVJ9#?T40x@9TK=}|J$#1wjeh+!pz4g&Etdd
zA<b&X{(HI6LTle8NmfCk<&A(q8UefM-<_RbAiH8<e+TLVaf-PTr}vQ2$tFj$$A@Fz
z$r>~H_Ukp2tQ_aPSb3q<cy+y1kR<*A(#rSX&(io^qYzMVVLqSlC?+uLkGQUQOM-+w
z6g>eM72b{(e*C-G<aqHAmzs|LT@;4mNXX*!v_}_bpE&KnVrHPAbI(!{6>Jz^WG2Ud
zdpw#Aa%vrUSU!8v)@hA(ArhpHsj7gt7b#<?MJ8p&JT^y}q+~<?g2SaRj}^`0jb*tW
ze7r=i;nmR+m=UTO3Plu5Oi_S0p}A<bP;Ub`1QA5M6OG<VN-qKKfoh?#x%nkAvCX0>
z_+?{L6UaQ7EK)Hsq30<{d3m+=LK5QRzh`FJRfoJ-7PWz8sF#BUDqMv)b?fS~N~Siw
z(XAVP^U0BbkdecGI}%$BZjVu}f`e;TMA~xNpZ||G@uQ$X8%mpaC|=ONeX6UsSeQP?
zYmv_D>h8`RgtUX?7HH6GJYnG`_Pv*q+hI}DdE$Ahw#rHxryBGGPle;xXS<pJV3OhU
zIpp8YU^+GZOxpRi?MY;n3vCYiz|RcetQJZK*p2m=n3zw%ZdVw8e;|f#C;LO$K-)_|
zw-mZ@vJtXl{4IBR`$tpjTWYumnu^VQZD(I!5XiE|UJwuvxOsYNFZM4i-2LxnHdRly
zsFhIi^S2B_=I7>C*VaCP9_dBEDU-h}D<*mQ7dR@#Zz$1}Vk?2A+gvF1o)~6SkOy@^
zEZrV#y0@yxBH8Tvk9Ad_7CY|lsT}yGVke6tt<XpM{$!REeN<Gg@Ru%An=Dah2I(v#
zor0Nt%^FiQz>UDY3XP29oFg%qDpu_~4EXW|a4xv!sDy<xudm(Kxxim+Y;9G0UfHg5
zS<RG-SIl4&Gr9^+sr2oJeV(80i0thrPA4|s+%pIMCn7mgX|fAz^fpgKLp$c~5#(_V
z<9J+qHsMquJ)gojhpIx}!Yfz%`C1DvKw-E)pOhyO^oRqw#k8E9w<K<VVPTHiuJrQd
zGi?_iiwZJ6-JETDU9ScMfXE4${m=wt{>Nmv|2F{{j?1_P(sa-&-SzD)8+gfK_*{>E
z7b@nuZG4vmd<rD(dTYbMINC*@yF>67(^ty2E^-I5aBqI7BZWr?zgI0~re&byWG(C5
zdpQNUaNV!0QarmRe+O0>Fo^oZvq92D8=>VBiN&DlBF+mo4X2$*q$l%M6<7es0!Sqq
z?Osh)%I*#hY!(*r9bfM*4~GusYLa;!sX*!UcRGI}cu~jdtkl=Jm|IWapm>*YNzyz3
zSb2quTkUn@aBxV^EcE~?r(XjDS*>ST`XUJ4Jv}~v4>0u>UNW^9`V!`^(Q=N`J2~1K
zZ@H6>1OLGmY-#CgOw^oQp1!m1k8a>3&<?+Jf9D{I`mj?+*Mv#~ljv=!HYzMvl%LiT
z;Q6;&-p0N~!g;rhb!y@{Gd$M^{`ELoWgf>ZR1*`Ep8oz+9T)8mAHf>aVYa!)1Z~?@
z&~I_^@%B4oWS})hXN@4^Th_4rR!}e<fOFI;^khGL2pQlaAtCvlA(;B*3*6b+85kzg
z&khd74coJ6>AW$62?+dP<3BlYjn1vFxbHg_q>I72LX#+%gxoznaxGkC%-9*m`=FDS
zdgqE-9tzQ<sowIIPK;W7gK*+Fnw9pBhz|dd+>8<?dmVcbEVs5h5mxCES%MK?$h)gT
zR=gS8-%j?X72p$Gx3{q~9X~6>0d2yL5DgKqz=4CVfjx=vW^X&}{8>t!4#*Gm#Oe!K
z-_IAk>m7b(L`p38dseUS!fx?gXl}O&cSIdhWF)k3TYtJzj&~e}a=0{Z{7~_fY?jti
zL7U9&NPH#0pOX4yM*}e}uW{iO3kes}sSW)uDCWKu1bfeH)dKd}I*?jZk+D@1iuLU1
zIh>?s`<rimyNoYxp-9l8c3^fC96sA}`K|YX?*bLk;0D8rK}Zir5)X;5|7%j2-Tq8a
zeWI>QZCwqgpniqSwzhUI1QyuJ2B*f2+qAJsd<-sH(<9niNXPA0OBom{K^vaGA+Pwh
z0ckov+6iWp2_+e-c@xqH&iRG)YhPaaxVdu)w+ggqEtFWRI+4DTTPu$(eR8yl9C0@2
z#tNdhE3%Jl3zAe&QW+ez`*R<&a*<X+JC>)u=zcRCXGh>H$$-(u6Q%mZ=8J(Qy?-TY
zUIk9;F%7wzjy(D|`A_xc)Xc&hUkJT|A!cE_q?wmovaUIo2@*$BuV5PgGfzS8F=9gr
zX7=a#Ro*4~Wb^RML6*)}_BPyRfQoyv&KDmdd=s1&v53eEHe$iZid3uAz9kP;ty06Q
zV)$B&Q?g$b(Brb0PAy1*aBOPXnsfgI$8xQ2xOA{8sK0sF9y?*u1e5zNDO)Pq-*F!3
z`!<SddxKMRUtM!a=Liz!pW&73W=@1m`G@bB*utw#l0ob@b;AEv=A7X>IaZ2dY}hEh
zG}@8IOZ1#^AQb8{NgJ@NPi%hOm3hqcchnV6qb0&}h$psp;K6KXSr7(~+Vc#hBqLMt
z`S|DdYj5m#Iee!dP9j?!J_KD`gh69s6#@n)J=G-rUhbWb$CdYcMWi>M9|#3Jk1>~h
zTtn@>lS}S-Dti_t18?+&K2_Upk)|ed3NIV$T1UU>;`hLQeIRcB4KITPr@MCX+IQt!
zyspN!bKtYOJas(Zt}kuR(JW;=?Ofxe5$t^0<8V@=r*CfN>s_eoB{2;}^}Zr{Vjax9
zt}6=@x57B<uv1fOT7h8nv)a3T9cXTE@YdMA;N+Apv*>TCt<_NqcMNgDpyXUwn&lMi
zVIQ*AmsuC4#hE4;D^;9ws9Mji>-!OtnI%@sg2YYz&AHuA6u!%C`+;(2Ge5_YmT9We
z*7Ge)|7g-vjOY3QE04ZO`%v@c-ya%?mq)V(+k`|*p#{e!H$0}nFGsWM>tGEI{+7?o
zHk+h6d+}FDM6E8Pv;O9zeMiH=35{X=O&_WQ@$w_L9z79Hy5&<#b>(8eCF*xA=$93q
zoucu}eTzwW_elw{U(TfZ{Em9BE~C4D@`E(*Xw{F8FXhe7&YmKFnBjGJ@at=tk~k(D
zu4*Vz^~bQ`;}Q-&aO-*w#+eXCS6Z)QiNH<O{g#^_2w#%;EZ=XAtRnjjL~L4FCiLhm
zH%~!q_FnQpH?h&7uTEUQ*UgOL%CU39b;vi6uS*@Nk8w0vBs#jHWIZU*sc@|DB~2?<
z#jSIGGvxI*Lu~L22hnLpyQQ)`ymRbKt;Cm-BbqG~_LRwx3QgsmVZ3fwyyesuG{5b8
zNh2PGhir}4Qv#lmg$Y5>yaMjt_SKW9cKLe7cAt)?5!w3yp4jxErdF?8*XJOH%n5={
zEisEak9sCyKj4H1(3OAjptx}Vv3ObaYWXr2!0T|l{@0gI1e!Z+)z|k`1O|Tn`l)_m
zb^vfgPM!#x%DFv>m?lq{^wdu>SjR_lu!K^kXHg&0C$&sKrd8PrK_Chhmg^_+cdK`)
z{<p-{lkx@F5#qHTn4}cuiyfU|=LFt)?O}MeL5MSajd_^wkL>^x=Y7rQ;cnMGb2&c6
zrTnDmr=@h_kVD*%wNJuF#~vMF5*3ss48d)@$oJ{ZQ3q!bXD#*5^uo<eL1Uc*ndovp
zZVR3{Dl|6~_PB)AF4MbBFj^%`ySvMQ=w<iFE@%BK<4D?hj3w;#Cl>?7+dkeL*XR-+
zsUxmD7FG}F@=DmyXI_;f{;;(;fcnYfS+-iqn7OfwC)r-?z?-T9S)@?!t*Fk3sKW@k
z3dxem+*-xYELS|~X%7S|wwT>*MsC|X4F{vLg*6_w7lg7-`$78^IFo!aNCB2Yo0^|G
zY5xp{&9eQlvDQsgwSs<?T)87(ik<#_JolDhe{2KB-x_9h!kHl_4q3nRTuX<uGa0vq
zu11q$C3pmPN-ushl<*niPsUFpAKM+@SWQHqb}e@#EpJjuT)#ij*@3@bDd(n{h}XFg
zm`cZ`s(KR|x5godoA*s6sVh#-b#jVx<2Lgzr{w_6u<1b41t?8ysVKhi*1p;>?HHdC
z=({a-n>JIe-Qw&Mq4WmWJZsI$*w)rh645)hAT44(F7#+YEc|;#PEC%i=4mcetzy0W
zr+?fIN2|9viTJ#dj<q({rlM=^$f$5j*h&mu%|n+E+u)ur%Q*2I(zTEU`hIo2WBxS*
zUrPVII(T?Yn0rn;BtSs>m@+mrpI1xs<nf6@`^h80SCF+@bcEYf0k8h?h5;f37UB`=
z@=QI97N)cxZAMnD2fDPAiH`Y&IZrBt{I2xs)a4Y1H)79WOrHow+gvZUM;45d8w?ui
zhAbS8GGD!0ArUp*U-2}A+nf)RDGilM_BwfZ9orv|=SjNn#Cb>GW*7bDC{u+uQBUD6
ztfiBrnKD5t_if}psrRO9?87Ty^(b4t(Q2t%OW*Dz?6BQmMg8fgNBsP8l(_GL)T<+?
z=g05Y#M&x{;XNkr8+LpCd}D3(Ig$4wT7>yEzM<K`VhE&tm~e$jQKn1x=@HH336FZ^
z2U@Oi)f&E5iBra)<d|m_QZaWsX287O!MWK?N2=d?sSr7`y|re3>UG$*WO3}Rx!;?|
z#E#ce`Bhh7CB~VPKeMb1O_x78b98A6%T--+eWr})4<}!F;g8C1_6-M9F<6T4eMdhd
zE}-}69==bO>pn^&pK*@byDYJMo@mLcBjBxkj1Cke&kZ>sWj7IxoGFre=|9VzCCk8K
zd3LEz?{-&`BKvKzZz<HEgR3+eSX$OCIOkn=gSr`(J~v9-!JO}sh-?MIJ?b<UNZjR_
zZBAa*V_10!DSCF0EcQEAJ-FNa#DsbLs41uC?jK+BQXNWUWTB(|Q|apX7GMS@+TUq!
z<cLwK;~^Od7hIh7&sE>4ltmK|WBI8SY^Sbp&)jNEtsd@v$&BVd_NsX)>)wqT&FW#m
zBiM4y3G4wSfuWM_T=}FfbT}n)=?2S9@zYFF8gJ4k0x_xnF}L#Xuhi((CmMO?O9=QI
z>5Y(F^OXI}(up9M7r_K>{rzdYiMrJNEeSGZAH!!ztiM5EozPA>+ii2U=6U$eCa<M{
zaveAt>}+(b4r2iFD^U75tjh0Wq|aRB;Xi=rAbi)aCLpCNhb{IHRT?6MKdkAYCgg2r
zgP7RN;H+Tb*Kqc5tOj{>EvabBW?4U4`?;NKM>)F`5FlmYgm%8QdE)P-YDyAfHHon|
z=%X4GbZx-#ZbA(75&L?Rz5>lFfrq~eAi4WKd}Hh2=XS-Cbfvu28g`8P`8ux-4UOq%
zV<f9Ys$y_Pd~Rq8jPp7lh72`U6yna5#X=A__x}BhSfxH8^j~gE5aQzZlR8de&@HtQ
z-6b?z-W&Sg7rqjM!I>P_X}`bByeYI%6>xgTu?Gi2Ke0cg+iI6ymwUrbCs)S({_L$M
z9UZJXG?M8R+cUfi0MfCz#vRt>P&WW~VqDOoIs1f?ap2?{@Q3e*4XW?eU5uSao2ps=
zAHr9rGRkDol?0dZ#uO*o%Z)jf>T;_<zX7`4Xnoy%;{GBBYcsx&wt<&$))mnGkz|yS
zrgNo^k-RlmBe{KOgLVB)RZz;q>f}%xO2bVgo6q6)4%$x}A0vW8_Fs*UdGMr38ONXW
z>21(Pw{7>k!qZ7PeU`Ki5k*L^j;>uRi1w|w284N4<CJoZv_XlO?0tL!!%}})>@AD+
z2eav4jVfY)_!HGGVQAuCtlb8wH7zmvzz@Tz2CLz~pOz2Ks^vO1&+}pJeG(e%hz_6@
zQt_6wLMjMbWtleqbAZ7VuOwbrb919JHPTp|9;weiJ3F(}I1SRg&lU6Rd}n{ka$l}x
z-yun7z086A=)TV!TXBKwBg1@m$~w<m&#Jkd?b6#3kFhXvOkVZZDRQKVi#?+*`IKtE
z*m1_-tF{@CmsV2Pct?&TswNEgFveQd$}5B64%r$pFcd-&zi5^(zAV7(*u(UebS`Kq
zLkqo&q1`7`=tp=_QZ=FQf-$`$9RA7UzFPFtm5Shp(uuC?k`7YgpV+#$6I1o1Pd_MN
zSXc*1(?$E4&2VR=B4<)^`X)!<^@HoZ+}F4{ZqN95x9cnk)(B+PXTEs|s@r@ha3bqb
z^}ea#HSnW;bPNZXj2ulC0t&9mt$-dM`_JrrZ5gynw}dlg1B)ZF+8JxsQWCleT6y3F
zE3tBGs^AjS{er)T)2&dEWMyZK0G;cN#c992US4KUm72XNYtu2|drelZtUDa6Q9M(9
zb+75+Uf(ZkBVV3hi(YJXZ<=-=KtTNjQ_7tUnfibd4~6S_n4rVRw=$N2>@(u=v3@X!
zDtmvCffT(CI0!vgq}1JVcS_#otv4mLkV*zV*iN}3k!<cHh8zM`4UPA?YmKA+-6c%l
zlvTPKFLggJZjZfL=jPmG&3XL=I$P?zo+^Z)A?Ni{KzUmgX3jF>qVrd^OUs}juti5g
zi$U+}tW)sheO$=6d;V2QpZ^V4)dn+KfHlY7Wy0119JR=b506I^Rt+k)@)f^>riI{E
zsN`-MNb_Y2W$+Xcfdw}l%CS|<qu;)|yI64?H?Lh3W<_*vA88CRmAh5tq$`_1>jTw+
zVXz_{op-=SF83K*jJ!7TWdd3Ekk^_mk2EACWjk~45U*c#&ASlGl66$ZW$U$->Pr9j
z$>f>7b*}?p^96(s<_S^A_Liy{CC&33vZ5s$>trm(p>4E$-$5VxppA`;YW_|^kpP@G
zwOS|)(HscIEaNtzwFy$~F+$YEBkqKAIJ5N$%-557+*UKt)ko1tU#=qQr!#OE*Evv%
zg{&!|NkT>@=BDtd<I}+wT=nnc51>`h(B1dvXr1G8%k!Jh$Je~wtr?{QzYJtM&@O91
z|EPTEH}^K6V!0hef-`#<CgXBK>H4d<M3!>hAE2Gk4;p_-aK0tOshbjIy1mG_VZ6b1
z-KS@&JpRjxgE8*B#1ivG+l`XfSb#XvOM69rOifIwQ&EhP3p>k?55=#caNr*2y9Zws
z#f1fjr(rgw8UQivyd4Hrmkfg08E^*q06mw?*sQA40|?vZbQK#S;GC)zj(_|1UEEdQ
zj!2cxDsgfR2qwh9Nse@89jvpJ?a=uaf_pqU3}6|r1Zc}t&_Fs<)y0L&b;%hIU^PL8
z@^tJShN6as+myGoj7+kCI~x$H_6-b#O2twEwX<QhEXehMjCt?)`1g97g)@+k&7HE0
zjIPk{APE#RtOp6mnIXul9LgpKa9qrILP(bzeOeNNvck50=&J^N7Bu{M@zsB6NKQ#b
zsqY8VDq}r!Y#m5sHt(0W@OWLbl&F<`8i=8^UTpj>N$P!Gd?x_;&Ca0Ln#Ak4RcY9b
z2=J=?vfQf6;y)&L@%ddC0E!m0@C-<dp@M5DAGOAanBOI$ww7ak0<@6NH%hG5Nh>nJ
z=9K#6)SmoDZX$@Sb9%L_*70rS(4CwQ4GxvGUIlg<6ef1yMUe<fySef3yB<-{(Y^57
z97<$2{f)1rtbBTL!MQ*UoQv}E@}{F1!+_e0Dk3HZm(K4BP3`vd^i*2Uu|avN0KIy0
zR(!oG2vY2NUZ>*K)zu0mQ>FSH8D#H*zQx7{q^4@u?J?5R=a!cKzIOKU5%TfzLEVy2
zd9k3?{u&TX!}g!<1}~=le<wdYlZ?tR8l3EaQ`n;N<^fxK_Ky*uUeZ?qTS4i~xqZ|Y
z_38bi{KtA_+7e$$J6$EZ*X0(~tslCD$vepZ*(?(g`R&^36hML+4U{X4lHfwZ!`~ID
zyd)*Hv(E$yP-Q(mIUSuedtD6;{Kv;fAY2@FTeMwjCg^_k6AFDE9o;@z?WXDvkB9)d
zvf$P3;2M*mgp%pI5&q-9dwZ5T_xJa7B!#`qAd(8piA1J25`O2F#Jo(<G)pQ65Qk#5
zH1(8->q-voUt?*vksXnLG%hADvLUU1Vq{!BGiu8VJU@4;k+G(We}RD!O?StZS5T0v
zRx+#=-`d(5aR;VT>enKfXnhaVpWy33<$%R*Szv28RegMd!;QuB@}Q`C85lBR6BEsJ
zl$4Y#&%FZ8ccF_djlr3(9aIrg>n8lzMw}-$5YP!_vHl5t-7wH`J|WY3chsW3w6!yy
zJEN<h`y368l7r*VwKL%8^17c<kow-UcHEzZ_j(^398}iC@_zf;s2A!PJMdwE%Je<A
z3Z2CqPFKowAGJ~`qmfR_@^7B1#re(J=bVp4S3phc0D!wCOr4#bAk!V2oNQ5D@h`ni
zXlG{^-Vf?d61n5wQd6y}g~-Xfp;+aHIbGkx_VT?(81LKj)t*pnPVeUP^fAIbB_H1B
zio`X`x)FoZL3ahw(0Wj<+ddomn(0DVdHLfsQ=WLCz0%3~IRyj5L2<ZN85Iya0ywkF
z@v_aL>)|{gMSJAr<}#ABs8{IC&d*ny4!>S+25<29w6u>v-UkD6+(ZIyV-%%jT6Hh*
z@bEyXprq6jbi?)a^`G<Iv$fIzhROR*((U%m$X;gl>rSk~wl;<Nxl~4)xUFzZS#g{E
z+<|64rhPc84qYixIjr2{J^IP<km3P_7tV4ZEw87qJ+6Nv+HsmDxD-@Vu)tB={xPyB
zp;^JMVHFDNhE{)mkw>$D_hoQsD4EUVMZ=0u%PD$CjoBz0$O-#A-k1S#d;suaV+fvO
zPUg#YcXz{smgdW)OM@q1WyMj}j=*RAa&q$dsA-!7l(+;ZCMVrD<JFS{+^bJxmZ&qm
z#DE7yx7jJXwl)s97^3Q|W~v=F2VV<EAFt^B8awsg8Jmi3H+s9vU5|v==6?{O6V;b#
z@Q`*0B1@FEWj<HA=i{>s*ABc_t!$yE-7PidQ?SqsK)7>zZ4!19UdWkcuvXD~@{WQ%
z)wboC`vtoWR+GV3L1=_QN=3#1vF>#_XV%w0G&BUoQup@u_Bn$YR%O2c%pej`L<8#j
z-X>m)ph5zG=O@?e(b$B9GGHZyBB|Z>%NimU%sF0XcwcIQT3>i>E;)E{%`Wz)Pzl(6
z^o<(sGHYwxDEATvMKN8Xc5nvGj$=9POl0_QON{%99f$eFC-;xrgn}F>O6u0(H$O_P
z(v?RDcZ0BS29jM=JP3B;z1v+0Gtt`oX$3#sm|smDyWrI++pQ~bIs=;uw1Tw_!KZ7x
z$>aCdgN<TBNA2*0@$SFMd3Obqwn(H%^D3TEV<EccF`Cgjr9l@i!91ndeNM~J$mr|>
zMObL0lK&2}LFik(T}}21bufSF2lL){FOI#%rpB-pe#s->lpF`NHs8B2Tf+gMUfaM|
zoKeE7)373<Lsn5`L8M#hSD-C%y~@n35$vYA$Okw+@Ngv5>PSXE2L}eJ4M#1wm==5U
zSGaPfQV<#1B#eB1zCJg^%F)v?6BeQ7mfSLV5SiFzAaOrHTEA6tC7@9M<M*{xi`G{A
z^x^KZEf*gfr%#vkUQYBkSIr@X!W0_#+QtkKXG%#k&mh?ysTEexn|r~rRwgKFa;7B6
z{PJq&owuGyDQij)c(A`ttA!KNFRws^u$CSg@7f7|<ZZ$N0}q;1R&l(H|KMaD4*k=^
zbAD{)YuBwi(*^KjLSV90!1I6McjmAz42qHjE;6LIQ9BZVyqdPCrTUB^z&|ZQ;N=?V
z(h3{vl$Np_1R1#a%6hG5#g|w8r`@g?HIC{pncMF1z^MibGSg~$RS5Iwvnh1H&}a{t
zHXHkN+aeC9y7X<J{<Q*72gvv={>qVmgr$R10}k^YS0g(<CyX~PUa!3E4kA})iV_h@
z%dAss(8|=zHunMxfwUX%gItqHg`PhTUm-11)n`rZ=i_gDbn0Rojz|V5I<W4O-@<!O
zBUxk@i>22A`({9FN;dZ0n4Oa=pNozD+`y6naO}hOU#6AsYzVowNRcw^`cm%6GHMm7
z0Kg<5D0cXIr)}0Wob5t7VrQ5uk1VknV{5fkQ-OiGSL>-;B@DH9vH3za_9Cj-q5Myr
zcG*UZKDiNahf*T(69&ocz3Zp~qp}qYF-d&x$PSU3b&f%ET%TiEXpL<F0$XZJf<hS6
zW6xBz5%k4b!xZo%PtfUygCZBl14bd?$eZKoq@Rmvh8y*u-6WzK*oRrjbnJ^@a9n8m
zYxeoAd`OOwG3E$KB2sCX+!5inwb6tA!dSw<CXOP~-Wvs3H{<8gZT8s0kFHoNNBnx~
z@u3O8;ajImP&n_wQ*|;aIh*bnfp;~^QJyHG%1xo5nyvV(*s9W1h5bCA<~A}a3$U=$
zDjMG>HC~|-;vJf<=Lni}YMr|ynD&n)YBshggveN86*7^gS}Gnz$KhDvLwr|~Y^aTt
zL$zX~73zi`k9_7E9CG&oxUD5W*uzB6Ia4M@`d5tHZcd+cI48q{Grf%O(hD8y&Xlom
zAF!_dDHHS#a;5Zm&z*61-yY^yw@*R1-CN@$C!iHMJvbGfVB9ND*m!!1g&J}6tM58R
zUWw^zA>j(O?e<Dr-`Qt#eN&PJ%R`409O#%Un`bu{pPhyIIV+RiMuz`TcJ)nLVs3e#
z6fX}X45d#-DEm)~Z((IL)Fc^IEIm0<YC5)c)Px%3AC`^zfpE2siZt7j-&ckeiCT`j
zr8G%YMi}8oU~%~e6jgRLPzIT+NY%XDH--7LX@c5R24EYP`O496ZX?1dJe)A}k~o{*
z8XWR<_VF%g-rboZYvjmTNOK<ORAuh43hv<l9SCLD1R0hPTr1sqdx?6K+}s*!>K7ZH
zRnX7JNl`(GU%P!2P+lm(XCn)HG<v)9X9**5NUQRU=~YbQF={IAvEjo?%b4+I67T_4
zXcg|KtyIYJWBBl2@Je2$tv2zubCr*VTWc3=BEx<tQN?lKr#*FaHN2@snsd76c)EhX
z@kI!zmU-s|?(Ko6LYR!R)I7c8QoGk<ZHQ$xh&+-jc<$?gu`ia{SpM;DgXC-k@3Yq^
zE!W7(z`St1G)h8Y6~wHD*Z!JeRS@p;>1PVzmf3kq<ngz88ym4HvGUePzHu|Ys`@&j
zT7|`9FSQC`D$g(ViONN7Dn9+{Sw8Q`rcQ6ZTc4OOsz%uN678kzYFf~|y2ItjWBd3n
z+&-OA1xA<pa=lwP!(hD{{{DD(&JUO{Jl-;@;BLAUUq7~y^L<gb!yoh<;;J05u&uj{
z$1N_26;VY%R>=o5wD52WwMj4m7Vpjgzyi6@G+N}V-H%+Re=jq@mhhH{XH_GguNPb}
zudeQP^@OO8SzdtE@Zp<?$#|X!LgjH}Q5rMDR#m`L@pSvk!g4t{RUEC4S;Yu->1Y99
zPkEaCz$bpa?lC8ldoveEw37LItJhQG>Pk*}k~!(n&VG<+{95z5N<vqxn2iutb#*+s
zeS-w#VEZc8gDoJ@_BJW*lEieuf_OOE?3@0#9I6e-r|;A4XMyfdMW?6-<NlJa4~c(X
zPVzsfgzXL2kK@0Cn)88;np5X=Tydd<4sJT>$SLgk&x>lAuQzxvc-pTxQlFyCh7ZaB
zVF)-ginV}rf10Va;jgBc=QB71aQz1({kGE?LjAG8fG|A<s2C}LLZskLtA>+%))~aX
z=%@t)(|47{j^t(<DtPCl{zuO!&MuA~>6Hnhs|)MI&c*-yPG0Qoy(|;fmOc%I{go8g
z@WM!nKKB4%32yMgt8VW^wbq=tA85~2nLS`_c~ylOHuQ~|DB$a5FwM@=M8eY3UcfC}
zQdGGeidHkdf`jfq1KYhhL-4@EjX|0p8BD&;Eo@Z{R=Z)a0eyK^Y}qK0)tn~8jR7DY
z-xfX*xGAFoW!37|?x%?_@r`$J&r0+E^1)5P+b#aKne5A+*}pkxTG4Pn9Z~XID|`dv
zA#u&_V6NWmYU3;ZbHah|0#5sis>*yAwz?W+e^n~fR1z*;Tph8PU*dctxdjn2723og
z)Gz>DZlMhji+!Pzph0gu<tJVC=>+ZjIq6Km*mK`lnXd@E;zYvVekV}gX+YLrONYzC
zCq($02)>BF$!jgXm6_u&zA+eg1WSK^;JHpl`Z)oCSq1*&?~$&nL?zKHp-$A)u~=J0
z(b@}VcEr-^35OVYlPaSjdt4j&H{?T3QPO2??tf#a8DT&Cf<whUqMf^5m^4n<V)f|`
z?sIOJyP5Guw+b!=YWE=tZ+idYDqsgbQL)4c=y%F}LK8#|Mg4gQCI-S>AdYt>?t$^)
zu{O;})1#e>BL5Vc3YI-q>&1fc0nwE8jTxz(Fb6i#!7zq~cviF0jDI#NDV}IU25jwx
z3%f<9v|Q8A%cX*AvrX6$+*iqm^#0O7nOR9xxcuZq^dRuA(Y`x4jj`xDK=OY^jE=sk
zG`AUa*Wc?5RD5hvbCpUkJH8x<MIH0@Zrz-gKAMo{^_r+LG@BI3WqE8IE+n0Am^*0+
zk_tbtTWuc|x@F<|ORo$%wEz}7zK6^!EZv6_TW$By%8$zSp`RC)DR3)zKlI%|9oS#I
z&>0YmU7{CQ%zi4D4)JtBJn8#_!4lvIHqo&S_;^ZLPGj94N+tL_OfmlJZ|SuvnL6Gl
zY5xv|9{`We48D#<@9m#$oFrmNCOkELS*BxHp5|FdXU_KXy~U_fN8XRA=d|0CXLQ`P
zoGT6GL6%3;{2`5@Z9CJ{A@xE>vxRibSovu}qa$V18tn$$1bF+j7ZxTis7*Sva07QT
z9uZ#{F@(Pa2f(KbKcV_DDN4<F3m~g>eFbh6`8*}Izd<CZL|{gJfX=AErrtE3q~BZa
zr=`hlfiYc!m;kqOYx%P9EmF`~->7_6eS=B&N{gH8yfp-V+9<17K(BYZRi;8DNPb7E
zL8#NM&auL}lWsC5Ca$+0-V8cq6YTU)FB3(k{&!pYb8_75e~LWTS>kk%^3nM3@qPIB
zj^#_{&9MFL(?ca%2_MVw&xfTi2wA_At1($+QhR9Zqc8|9R^?U@JRNw5@HJ<dcOWMH
zn9&Ph=#2WyRzF3YdA;fRo6k?odKy18U!nF4^_Nv6$mDK*97I@irLHpXCYz}K$m|Sw
zC|es3l!6leFF&~L(JDdC2>A9T0oPs>tgKMfjXLV9VkO#L?oxJmyHGNQV)!Gy@_bk;
zyO-LJQD#%4gcJs<t6Khp1H<2=XIjI23z>HZwv)Loy&ah9t~shjob%+~@w3vE(|^}}
zI6ZaX+zoKvvIY_ssw%f7vJsOlFn3eFn?4#<@l6=f>3z+lT7LiJ2ZQMKM0}KuRDS0M
z(p1PsS!eF3@sVJq?eAh9wo)vLJ14{*$g=<b_44`8hcn#L)=%In3d8*g@6zO&fS4{o
zQ?Fo%JhClZc4LgxmA#V@M?35)5f%z7OJ^+E0zB1iU+$$!vMy!f7smuYPoxx`j)_(5
zLlsN_wM#@fpYp~Dx1~PAptq~-NBZ#hNA+P{6wj4G9eSY_vcm<IyQvn<I{NSOGVL4-
z<y@jgWdE}Vkh>E54}Q=;{a*200}Hh^8_DoHY@=s$mVz2$Y3#povsHU&9+>?CCeT|2
zS??z~iIqvxGKqfvXz%{|i~ipjvpsM)FkJB$fmbJH*FAbp;YWUn(e%YbaMQ^(a|g4r
zJux^)ABGCeJAs)gqPFttP$>&e<8qn2k#F8{^3nnt9W?WS_ya6Ezota9*s{k}o|W1Q
z;=38WG8BZDg;%p>rM}8Eh1?UD-dnWoQg-3KD%6?hIUSgvvA|nQaFj|GV88S}V}7M|
ze5R*c!&)JKT!@$@^Htd1h&&|ZMNdgOAzf-XEOZuGf-%fA9iI>A^8=UUq?F=bw(F7<
zl8_J%uXA5+#u{~0(UF7G8bERUw_&|*@_4RdT0ldWv(h7k+D;iXwoH6tzVD&=lWuLJ
zo!wfqF(AHXS~*Q0z%Mvn&b&}zHS#>E$fPzZQLDP2Vf4COw2LRK_Y-k$Qp!|w+CLcj
zWvIJ5K8$f(kHe?|W0K-9k~U1{^JIZr#`|*)bvIyYgCmzTe#+iGONln#`o@87*F;mG
ze%~e*#Ar|o2_46fh)L+zQcGnpn~2BLMb|ws=gDEB>*L`gaW@k`pDEBSBpez|rMbO`
zWgot@`<RHr7(}fdKgXA+EUuqzCe#$X+R(40m%rH||NE`aA=V^X>L<5iBOoz&$(>CN
z5L>5~$9e>ngM(7M-u_Dq@|D)BBr$`-NZIj2fwCg(KEkN#AA4`+hPbh(dNZX`pSs;;
zH+3t@_nO<>3)=rNf55Q<TV>S$1&hU!610&xomqr$pC4kGPkd30Q~x~x7E9gQ@c0hv
z9G;FJQiycXB6dQ0w{Xj_HXnF1MrycQ<wc7EQz#XZ>ujB)&Z&>KXqqJvRuA`0UssN7
zRT|m7d@2?Au-8Nc<Q$@)Jph|w*r|7aa@?YkUX|!eTHZSM9&T#tzx|%7&>uct(cQgw
zH(vTSD%9ZQs~#YA_jC^pa~K@*4<`ijYqDCs+obH0ASy)scrY9;ED!}UPQAjmfA@EN
z)da?Ln2x77WfD=C3Cqb!t@wkY!zteK;gcQ@F=JUu2_+6kc^7E5USiT(;5ZgRJ)tS5
zclIV(aM#=YlAl%P*grjVL;w@uzmbE&mrIEXKXMHXOBSh2*onOg04r0eyre+ul7b#d
z<z=Sfey@;5VAB@%?R0?^LNQ+ZlW@>7Za83YHyovQW}r#ZbH|C8%y9w+P2Mt2x7^p@
zTNX<Vbq^N^H;M-BwnK>U=agP6^cXKz17vzD31PYlV_F5l+sq>YOo23C(v;!ih&I3+
zvic5AwXq_39LI6<)?Yq2x|58t_!r~GNmEvlx3IZ+$@5)3?`bQOG5JYHv-)SX##*~Q
zGoD>tG0AFvpp7dL#cD#oxUPYo^Z^2Av*7vpc1JU#?E)nXrTm(VZnfxWjs|&mI%5^v
z^Ci|2Z003Np*6kFkOi1fvLmKf_1FxvE^%=+`LHr()QKo%`2-y!+je7)=Obpk@tMOX
z;w$iDj5Kv}qh$WYfnYs&#(4&!UmzPk7-K<{4|!Xvj!B|d9uG_3@%2Xlm`JU`@xpd*
zgxP2AVVsEygBICCwuL${2;<REOv_EStQ_+=i?cP%m-hZphpeu@4UKrwRgms!@^ivm
ziZ^k1qzw$-8BD=w>WVmxf3ZIY0F*3hF#1L{1_15qc?JYwTPB=RK{o)rchJ#G(a3_!
zDy`m>0-0p?YQlg%@s}iyyDzgR@GIpGg@>obTQpABo5OHR`A}7!ZcW(WsV=ii-*@l3
zdJlkm66i_5^RN`#H?e@5s@~b{%Z@(x^=ezHRMo|;oS+M`(5Sw|G#fFM$+DywzIGPk
zR+EvJ*WZe4PIafoI9;6117QPna|2;R^$%XbhJ5^LCM9sAAL?<}Uqa7`CbM4MuZdcf
zVJOm4d=3eR^yrmmqc*QLRCK_JWJ{ap+l|#{3!Z1AE=OMHqbRkf_UjwpYXp3U%;H|@
zy0|NLDd$cVS@BCOz7l^AaJ%>5U{knheTLxDpJ{xP)AoZR9Vx4)fBXR7p{X(<<<v@b
zwtTIo>anc9vOyJ#{XyoQDoH*`XC}LlDGDr{-=TPFj@AE0&Pj&{gg9?o)w96KO$OF#
zzY8qm?%3conRsZ<tI)fI+pSEx6d9>BkjAWbvMx#gTb|Cp__SrVd5U#05zHejf=O7?
zr|DTem(UYvlZd2E2Z{sIq?!yCRpC?_IoD_Ql(IY=J_?gW?RP_jAG*K4fn;L6ETsEy
z4KU3iKq#iC9jbdDy)*bXv<>;#y9h%K#D@TEE=MeFxDc~cdhc9g@e@ujlRt7+5etg1
zA3V%-H14NuYMoJ0wQs64O2Qzw3!$iX#S}Ue{0OH8mLC^Df$zG&Nqo)>9vBgHi8HOj
zT#1VH-HNeXp8nrm>?f`T5axkfETQ|_M~-z7XZI(1unC5Rp?%sp^hS<G&aSgFAuV0|
zq7;Kp>G<i10D$c9z|BlAuhO@ALrImjyiR$*9+hv2J~LLX4`a06JWl`io6E9oJZy=M
zjHMP6KZZ&~fHU32m$~+w7sJ>6Lm<>VnT*p8MLpY$vYDhEOIh}3@Gp)5(^rRGL32Xq
zzn8rgUX^pXV5gA@wJ95E6+{h}<<_0I4-nP+vvIb`NX9_w_&``ohAIxBMDssi`0rTO
zwwBKuXOV`~bnSD$NaSwnNOO6v$ya-=>W!og#yqNXj(^mHFMGF%9g2EtvNhBI=^ux0
ztu@RWa9L_jE4tFMd|h3NQ~3Kh9aoHl@U#R2yTd8-biYEa?Y)8<f7B7{u@0S9g0kdf
z(&-9iUqwK-7rwnR^V>V;ob(PPf8u$E$@Ho?tJ)v=+tpSp7LS_F-;~Wpw5u!)(e7T3
ze%IFMYDCXA1ybA?T=1HLT*`Qtb|K7|O4P>DU*rBo^5gFwbg}(G9ahbNx=<&e-lT)S
zI1v7QoqTtk8ehL-Q0{0mkqL`LpnI(ji8o%yJyb!f&^!U83*?u%zO_h7p6;9>lnQuv
zHR@@BDFw>fj31;73GN!GUd{=}U3LPu=U}yqRL*xkXMunU;nK#ElAiwWQT`bb1j~_n
zSg^HM_T;}h&>Er+#oe2t{+tuJkbE#5xP6z#L!Mc*Wxlnd-Q=jkoDmhq2||#VT97jn
zZvbPJmZ9xvQP(_j)kB@dxl-Yo41Y@PzMGL8kD=1QS={_%s#p`{;Gp|gYR(SU0@jM(
zbf1vM<|c^GE{{HZy2<e-qU9hZEbG1Ku-q6u9Gs?sDNDa;)?{9h<My>fY(2xdp~T^?
zxn4A17RyuH+iU+tuTwT94UEp1Xm1aHBa9G@W@%>{r0E>c{;pU+mKPuT%*PsF_jnb3
zy8jcCIcNn}c67(UYrzu}b1?zAK~h<-eBIiEspSg5lc$h)$;xtMr#sm#oG?xdAGDwP
zr;UJxpZoj6kE}e88ZHjk|D4>-VvZiRjIDt$-Z&VTJ@W4xPBYAQ2Q%MmRw-!}zL(Y5
z@y&BACh{P!%%vu`+Yya!CpJIckD9+!LP?1F6QScm{LyrGK7b;l{JF-2n2F$wW%ika
z<63wD)kJ3lnnxQ+q*`!#*^9uOPX?<*varZE1)7OXiNo7hxk?GC#1-Y7eYntEdt<qX
ziIgMq+u==j5eRVRt6X_2(cC!SSv5BDvXR}JfGam=HFx6lW+;s7G+>F_@ZDuz3EsNo
z=o+LB%6xszXhA!7u;iGsiE`z@#@gK|UlbiMXYaIU>d-VM&6&ublBr>~dX{my_JKe?
zdVkbAz%yHgM#G2Yd*Y)`lv+i<XxUm2$!d={p!hW4F<rVqah!<on&RRIa{T>WU&%|Q
z`H=mTzuizQAL<Ox6up`PVkeQQuOG5N@41t_@qZzbZM-PxoqWF~dw;tt?Q`dp2N)Ee
zt>d0KoqxKP72KU`z&?bV&#Eu6?v$1pHa#w<z_pWobE*<FQ2w&evY^?Yj-w}hl;m}E
zK?%0zjkv(gk{G(NNs^8Fk;<trbzMs6Qa1s?bSR6ReA<+y(NAe+1_S+N3*5}5(S+aY
zecqG`s>+~}4m=Jfr)#}5@zPYXDLn<5K4G!3%JFw`2?=MQE(k@*D5$CRfzm3tTcG0P
z?2OG80x&eyCPTRB#C-3!N7BLFo|$v@=tMj}HwI$onjEP!GBQ4<^Tp%oxn)aS$o${O
zRXmlkc+74XPuOp)>jxUm_uW;Wn<~9sg(a3Tr7Cs|=5HD#yo(TIO4hBlm^{(b40re5
z5y^5M2SDTBa-70A>FeVFBm8ChXKkH7nF%jX#@A%=8frcZpma>sjd&~`95!*b(%W|u
zBU`OY(Q9i1+b~~1MnsH&i#|_x!ol#tD8FrW#WOk-iD(j8Ev?rpUJx|E_Yyey2@k#2
z7XabZn?}I}sUyNq_uZwMHJ_cGO@J2#^h~|=+^5B@0qRT&4vsirv;hxmfLnM5fq?6K
z$$*^-6m%U={)&=#orprQb0ps9<CZhb{(CRL)bx8s$AVbguSY!k6$$aIgWA`yyO{h!
zV^;iS;WM3@CmcUt1H!eVh#XhrH$LqoRIvLx5=<=^R5c)4eJO7uomK1)7?GV=#Mf8w
zx#lJnTgJBt8A&(X7EK6=HfF1Cs?Un)Z-On8H&(($m$RLmF1tGO*$hk)Oda1`J)@s&
zh}Ceb)*8+2eO8<+8U2!kWCZ9DLc_w~41ik)Tu>bJ=Z}h)xA*Ynz|c_l<YX-91V_j)
zH~hD6-$bBeTW>?i%F0T$&~e&F$e>aAlR?27umbP*^`C&hgt)Hx?ejKJng+k|14tc9
zVI%-z9D^=^$eNs9@*oj~g5L2?O^XSmr_HWi^j#~{%j)->*Ul%#8^dk8bIe~|{Nod!
z*KP8Rqz@aej8LdC%}K6}b7X~Hb`-B`4Qgxd5SrMvk1Wd$<6$g)82#%Kx9`;2@tM5i
zaM`XtedM09u8^;ysG$bC;rw9mTU4i$`MQ5waZYTDS_L&Fb97me*)`;Z4Bgb^?=o4x
zwJ&o4T#a+0R>NR8M=8EwjXP>;C7>WJE-pqGzIgLL9ybAOYB`PtGvJqtOH9PZ!!y&t
z!^I8i=;-JbajtX3AmSOr&xe7QKmjXBMotd>=;#RdivItoBie6fX~j6WfqvtfQ!<2j
zJYG(B!Tx?s(+XVrDNajWbA7awXHY}rcPW|?k@hD%<AHBns1j}6Zg==v+as58=DQ11
z@RFp`joAfkR65J?6*=7!D^E;;-RqFD$e46$rR3X(w_%*GD_PV%bfuYTHXyPKH(rx2
zF!N2#p8?JuG4L7I!BMB~(%YsIZ3=+(EuzE=5%!I_8ED~AoON3n^*~kuKEGNU;In&A
zhXYJOK(V0S6s=X(H#|IS+?JTA9)G9eoR*dKrp8FeqqJD$0thFdxI48w0Wl6d{Z_uj
zSu9=mwF_hc$Du@E+z+vok{w*T!$^QUAPtT4&aLB(rGPCuG;H^Sr!NN8vs%Nhoe#BI
z#M^9VvyN|)DG4zg&);A8W^$MbkuZ62I=}VTBYBmOaC#m+H0$)o!_g~acxZbaP21gW
z)D-5+(qdDa3^(E}(#wsb&O?8jCP5b5NIe;cafHil5<~Y}H6<CgGBrrN<*PzHk6p@T
z@2jN}TSp*f(84ih1b1hf0ry&81q1>)g+OXPiHmVWq?N)&9m-R2bdkEsQ#(|@DASF>
z<V<kbf?M%!4>}gohxap!V_pw(t=I{e8VNwoC8vj1GbL%kpoEMzcN6i>oxx2za$~GT
zb$$m6e!>yY;CV+vuAQ-wW5(d{YKJ!0*$N|}{qeVVlGMyp*B5W|WhLRX>aueom{d1t
zqPfh}bvyyObI7H?XFp2p23nD}X8fU15WG96S@eB+P+y|r;lT%*3pRFHWuPhn2E%^}
zj5~Kv&)jiyz%t~t$Q%6itI#2{I4btL;XH-g?*9K=X^kRyWH|&X(OZA63Y#kbL>JIr
zmNbuyE~r-wuTKV!vTW8N-+K-+Cm!p#)~V(-SJa%>y@cU|tlV?C_nPik&!qj`=A^#9
zS(`b8(`G+QF!#7Pet(z6^^pi`pa%;Fmj1z->CT0+>MZktf{4$m>M4G@%Zb-{WI}SW
zt06eg5Zwvac4A6*T)$X5i<|Um#Z8O9;VpTCAFVJ0#i~w1@5olONBahnfrX#*f&gTu
z>9f4mWwr_FsfYlKu9rX)Wi?@y|KoMb&C7$84DI_M#p0=I<{J+BBny|cTeVz~&E4J5
zf`V<%hVaNpN^b5%peTUaBVne?b)gp}@bS&B3AK4#bWKkua9T~XSWHmBL=p2#0Pz>l
zi%gZX0+EUD!@fRvr;V(%Pm#4j?lU_(TUGA}J139dhb2DZ4^d9Ai$tDU_LMnvN;vNw
z?4sPCj63*T7v^B7wfIeg*EKZ*{+&7LSc-jY4n8;Si!wDyU}N#b$ggy|5RIb9*K9hQ
zSEh}>Kkj5jjXVfhHu$^1dFoYfT~aqx9N$f#Nu*abeeE3WBJ}ZKDR9=s=WBhti(C=L
z1)sH;gajfGZn2=JVgkc05!Wg(C882?MP&LuCJTAr!r*jM0gHDWFo6QAY1f}3W!Tx~
zy0b`O`?Y6*fq_ussq_By>2@a0r0Lh-U@&vQa!wBRDlBq|6F^FH0N%iVn-jP~dmlB`
zK+4e~+mdNCmrk}Sa4^QQT|U4zVl7YpXycfan-!8yi9^r0xNOS_bflL1blse_5QxE_
z>kl5iPCd+(oGy6%CM~ZjT}b6tGo6EZ7RS6RE$75ITP3NN8_k{p8FW-8|LBwV6E`@M
zs1uD&w9jaNhF{{fSe1<JtIHXX(N~flgj8@u8)9dDG8m;*&QC%;xB(V#0;Ed;?^_O0
zQPEQEhN#W}B=~rE&&S8RV=8!0J)a`mlfRwTvz46(UQ$w0&kzye^5H$}Ehd8i!t)F~
z;&h=8bnns0kW|&u$m*I-=x}L|k~Zm<71S%y03uKh>M8uE7j!{7=G*IijjKz$ljN9B
zE+inwO`j<ktgO-eh>5h{g0RmAA77J8oGHNm{YX^Eyq0hI!HU?|PVnn=*BBDGr7`HE
zpfac{)`2h5mqAf^LFp>U`K2ZEbthiM$a>~VJ?HP8-8wQd84k?MpIi~GykUhtWVINV
zJtOU4Q~t48?R#aRc3+d(mb{goV>S6SIMLJVfwGd2Xy>|8Nt3@gh6iphzg!>q_+WvR
zhsV6W&v?&Qvj3<wO|l@Pt~FTHpr7!MDpee~b#||1kOk5R3_NH0XO7`b{9BAbv#R3&
znBCEtNaRNmWOVuPK6u-2RcKxT&gKOB*_<a$@}?Dr{mD)fB8rNSjn2(kXy~<Pv$BHD
zpkqy9_2w+WBsdjLrFswqgR7A_0Dqc`VXnV2v@PUdCe*t{PP>JI>~&skoVCxj2cxi;
z?l|jwK{_Gyg#X76^M1jT#n#Q$79Y!Bt$>=5KDsSf`Nr&l44s5uo%!NphY3x?`EisO
zEJ_3E*2Riij!g*v#n<o9s7X(|kimkfjBl(pV<=urq$EB!R?zYCDR^U@KtO1<29cpS
z>O)Dq`LouCMFMw6(j3IEe`m7Gst{xfroP*A1;gJdYut?bpdZR}9VxHbEO!>oPPQ(s
zpZO>V26*4>te!UV^L}Qc&KwYC`0FOoYa$t5rg*`^Hx>`|9gz90bt$3uW&ZH|2y!Rd
zu?f~~{%2p!izk#Fu6NgQ?$1wOR4T4bjYNKr%?Wvp8Kz$eBAO86Ki4EXwH|B}j=YuI
zsNoHipZ}U$)<spQ(YinR+oSHij?lCFTN1x;ZFzC&;iI-@3Cij(K<I=ryxXKxgixyh
z3+9CJ)?VUl!{IY#;q!O!II5DMIUHQLM@-h(d%cCHf;-p?$Q?hqW_2w)Cw8TVejBZ1
zze*?*{Cx@8>gGT_CLJVnMeQF^6YrX1$hh9KtFGM&NR>v3uLWw~Qicl^Tv}?j(2!j}
z(3jwzWvINsl#-k=I<sAKRDPut>E}>?yrJtkRlXUEzfTzf;Y_4`cZ>S7(gQCSQW=x|
zP70FOgtFAa@`JT}dUrOI;Vwi)JXz<7)qFrs@ugN_stP*)J^()ApDdO~!F@%wk)?rt
z=Fu{*EY?U_Rl<oF%Ga#&q}&oq6RE%Kb&=0be=gVOAPgC>RNl;5WIUQ6=gkiipfS`*
zXll)1YFUEV|7L*ZYoS#O7sWTncE3*U_gaALqm@=#tK)NHjpN$JpV}_(+nJ=^UQk(!
z>IXtFTY%JB|EH496YkIppC3tBASM0u&rLPq_`+>#UmWHm;pEET)N>iA0=l^NB(W?G
z*DC4yr^r9=N5j4w9d96IMAUO2y6gf~#7H2iZ4c>_v}4gv$=UN+uH{qvJ?9^uO8yY+
z3R_lgxL+zS9eDHhJ^7@m{`Y~iQT>+BDhq7wu4bt9_;_veURAh(on98m|K!$t!LEr}
zlY8!e16ltmnC&j*Q^)tt?^nK=gD)?KHrrk`MTwDrhP1c8gR^tB9eR?&l`Wa7x!54M
z7hF7ne6DlhU1R$vnm*s$hrlM?Ps^&6zkhyuG=T>5k(7P5Iq*3)TV;Vce!}ezM`Be`
z3VQ&F9|YXz=|dAg0)!Y=hwqO9#pv<W<e~JQ;)jj*HCfdsZ3%VUsg9cN=f|)7hBV<l
z1UH=HG7F}`wHaa|mN&N-?l1zUgKqTdZ@*sKpQ5X9aV-kV-70b7LK`v_Q^}qDyN0(1
z9Yr!PhLl)LV=^Z)7^){oXavx*w@fjaVUfwGd1D;4S=q0A9?c2pv<Z(qEuZb2$ICdH
zTDTz)IEZR|Ul<o#jKZz9zrYgEA=)i)sd144-4EpU8h2N=FCa4bjx9Q-m|gSj4^B8R
z(I1IzH>IEb(}j<%={KzH7?18OP^cgq%DO`fr3rExGnYI?W#Ehq1MPatotaTJ<??Zd
z?Ks2##N+)H(>W@1ZnjCkkIih@ti_Zke+7}6FDwUS*0<SK9~E3ZtwxWkrP%C`4Mu4f
zpcXvs9J$py7Sw8VSGAcX2|E(sHIP)y7Di>rwEV3<e~mBQZ|mc9Fir9lr8iq>O=o%M
zrJA1B9TT-Q@3@a`?{qlnuf}v~Y_?TnG>m2H+a4o;(jbh{oQ=fn?Nc$(jA#4wC162*
zT062XZzitBeGV2e`dIX;Pz2pt7@6y=AsMyl&Fe5(!=lp_Pjyl%;f5r_X6LQpUMtyp
z_Fs0_h?K$z;^{QBbkIVP+HffK?k~-neqC@I?40nZ!(H4eFmGdb?6E)%0cg9weSLku
zoL*rRP6Ei~WOV;ZO3#V*E#|AOaDYOQi?)+`V#V@m{Y!ut5lI07MN&25t}Jer$46MN
zx_ftU18ve_Y=(pX|ElaOqpEt|a1WrgbV?&2Al;49(%p@8OP7Fj!;cmO>6DU|PU-IM
zlJ359{C~LXe!Q%uYoq&|J$vSzH|KpGH7B<Ut0T0kUuOr+J&k9VX(%iNtCbq|P|&1m
z_ko?iU48OHDP`cSex7*z1O2`j=-D8XOViuhP-yWYI^=h+bemvZ_CC?+mmYxG6{Jd^
z@pVs;T&WL(TTu9Xr>XsY(&<j~HGmP=+FVnWCzjr-rRxk!oBS;wZ5tMnj56}Y`7Mwm
zA+J4!q{m7UNS<<gHTuz~SvjSqo4q9g!8Ppo$LK?u?b()3kmW}cHqs2HOLY@H`ag`@
zC&N^YS4bTTBLNqKupj~xi?|#}wobVih2*0~o9<<aftCYfkQgj<d-~qA%U{LM_cK}{
z<9P{0c&=sq9mTx-0AJ$sLP9+s|4z7Y?fIiGe&v@nQe_1*<H8*oW^B^efz3H2UVv<B
z?yqgnrDwB0vwo_m(HEqwIG77!0_}1aj$CGDv<u$bm3S!n7Gs)v4z&<n&=0Pon|eN-
z-|2YZoMfRJ=rTfB{ZmH8HnN=}*z%>_4wAjmXl#;W@t=wPC5hH4F|%OuKyNNRBZJ9(
zu_)x?_l-6OVNy>%+iv@hoxw^D<@l=IxpM3)w9g@N;%xefh3LsKFm8^wn|0y0kNSjc
zh`p!|gB72n7(o-Y(lMX2CHnjI=Q_6)BPEi<m9|!f3Y1WpcqZ~tSbF4a@^BKF$=+|-
z6k)8>p<$Q?Q8e2WF}HKZ*&i7y#kz51LOHW3=?Pwni7OU;=$2O58=v!dey^^9_hN48
z*VdEnOas<-wU^mU=MX@|C|gNx6x#4ydc*w41v|_4?HvP?mIv!mq{M-y#&TuE&yIEF
zK$3USUkiphOQ~}j(1I|cT-gthKA*|3v@IbC+zkyQS-DcWCApeG{3Ml+<YC@xSyE@<
zCCk{9NHZ*?g+B{3%XpHI3BRjTZolKCKC(eZCQCNl<xwaTr4ZXV6mogl$T#n9Z^2w9
zIwqB%h}kf~jRS$u_tO(C<v+~v1=M;XhkZ=iKR|%snyM++Va|*wUhZGhXXy-oWghL;
zVTX4hL8f?pIN~&;sHGR+7BWu8qx&OJnq)NHH&7J8EnU>q1D8gQ=m+oleGU9&3FT+Q
zZ_4l!32b7SG9e90L>EPz>wHvEqDZ)Lzt6@Sf3thSf0d{k^Q|o_&CMROO;GcBguDm*
z96L6SkJ4)8UxqLpX-OsWZC4Lgf({fB$1HTXreEnkRHCkYqZ#`5EsF@Z5QviwcG1Br
z)Rz`-CX;8?6E_9DNq+@JUGUX<sh5RcT1Ow2#AMZ~2ku2kI6{ZdDEv&vW-lzFaeXy9
zla)n-8-_(s=~nmO{<6ct;*$LSo&3@v%w$yU(}}Bo=c|N=I5RNGq-H{}5NE6EXqPSS
zcv30Uq96a|dXuW<C5Aq~CE+5O&k~h%`jMY>K&uu}-RpN@5nJsy9M5)ocF^c>;x52I
zu!ycrDa9c6h1Q4qGd}hgI2HVu56Sw`EOo5yImyd`L>$W~5DYgyq#DlRTV^4e2fpQR
z>^K2EUKErU|8?;R!U=gl{Dy^OE9mY}3IxsGOu_sWdZva=R_Mrf<8ma4?ysz1?Kxu4
zlu0;zI>ouN4NIUs5Nvz-{r5taiiQr4+pnNh@ul6nV|2~1-iE5omO>MJBKM0u#GSHQ
zha)Q#A_R6YO7GtmWRx*9{SV%k0^Z+Q9lw$Bxzz<^2$6Ycy$nTD=y<YKQZ{&Ux88p5
zeet{;OPj{`DQdFvcyg(`kOLH&OtK|4N|A+oU3gvx90A$-eQl3s+)*y7BT1C`^E)iy
z?sC^F|6oUOmBejjEk4_N>Kxz$hZorub}wu^lzEPWRpLcvo?d?qC%<@~C4Nt`?1+YI
znz%c+^72i=1!nTOyEdZkDc<~RLUO@Vrn0AanvKxJ-kegAMR|`<CVdie4%<!_9{Q38
zOKM8A?l<d-0&Ekn<-4nI?)%)2v3+k)9kJi4oL$(hDh}RwbHGQPzW0)JI>BN2Gj>z-
zMH80|PXCdALtlbvol<42M-e?<nDlEV+F-zF*N=7~x2K^GUG45-#F3J>6Fn=m(>QAg
z8)NDUenw>^4QS#fqa^g%7{Wd+WLMuyN1gmoT=j2|KPKC?&z3SS-aEgD>FpeO7WCt{
z)OvNbA?P)zq_R}SuR-#=rnl+YOXb1ov8yWw_O8R+Lc{U)Op9MB_WGgxZfD1O?oG+V
zqOo_Y1A3Cp4di@AwkOo>j{N$A5Z`r0NR24}<_@mO(A(CU-IU_poh``<*A-oFVgVRy
zyyG1{;zU(l&0rUUhpFAWl+aHCP3HvMDx~Y`pYg8r9;C}obE%g*n<I4>W&1jQCNMB)
z-qJMQ^Yk5hlPuY=IQ7v^PEW2M#JFwr3%fW?AYC|PKAa<*{9QoG^cIA9xBW~}xw7T7
zSMSY40vTOeK)SPi?TaLV{dXC||CH>a`)$BICFLRB%$mgu>B7mx>Ms)7i<j-Rp3333
zIjx-w{+*-ts^~XpPLkptxa%W%Ypc^zR1z|oqZ4z@WyfPhkCn<Z+&yiI=w*WZ9JJhZ
ztp2wsB)u-T|2@A*UpkO*L0|E$6yJgKLou2;nQOjuf9pWd=)s?5GIRB3<Xz8L?D_1y
z3J*|xwKpmB0aMgXeaUufj;<6B60V)s27%cU;$&;|j2U>-%=|w_Rf6p_{=UhnGe?I7
zs}$DC6c$ehDJ(7QK{p_68=i<*;~pnD{62WPdi5r#Cx5V7f4@#sPdg%TLF;7S0!2rO
zNPzweGNh0rv6egTrF3CvM?#`H<)<Omz*64n(nA;LnziL#!e{-~5GP4&ZRau~eEaoR
z_aoZGCL=Iqg|sDIWCseh?go&0j|~{$TwiM67e}o4BKCf@f4kAF5KQsOhi7ID12;RT
z<khi%8N{#9B<$7njwvqX*1lf-wX2xHbJ>lPPJ%I<Dywyjm=U16!;2yd?QSIn0#GCA
zQy40XDEA7p`bh7^PcMx{nBO&x7oP*a5W%?qywjoS^}=m=kFV#&zdp*mqj*v%MzQ03
zS|K^=rh;*?gj0QNkrnIIzfd$P<F2jj&&qs3{U(>!hQAs+W-BS~;{86?<rc~BSy~1r
zwZyws%(HN5)_S7L9A&WNp|ZPmn1-`DLSV0>6Pt3toLtVPxp&$LVKGbj64P3%B~B5n
zc(8tXly~&))0#^)noV0KxXS029okxH*Hr5G5+jjT>q#Iq7IB~$id^Z*#ccLbiMKyf
zI<sd_$#v|PZC=c+1l1#+3ofi4Nz=kgz=7f<so<FxE;Z4))ZC`vpI#!@b6j6z>Vr2|
zjl(1j;ZBle(s;$|?xM^-q^&-_#MtJj9bV@Tj`SC2=eYA1-06!=JnD(z(T@2m`A0{p
zrVSULkllse7V-^8&{><&sUgZVgx=;nvJ8!&tm!aQ3@F^$pq=GYZ@ueNJyD*)X>7z4
z`BauK5x5&lRsD-iWJaH)9xVhT3eV}3hGB4_qpvR=jPNzJY9L0#Y|{fvn_o<F)D|C3
zHswCqIno7DYeaUz_PKF?XFj8g$-~QG(tby({U|JYx$I4qdW=iubd9eGC2p&mW^hgs
zwHzc-ltsI$Tn!`J-8R;_%wHa^*_^C%%onVd5qBA>|1kNJ|9;WUUFG<E_2$9>=<iyz
zHu46H)E|N27?j*;PhJ=hmgBUK#F8Sa?E!<m>z1Z`F4oL0X?JI7eXkH;X`=33&Iv87
z&sprrn|<Cf11~{jlZKs<NXw11)7mfM#>HLawTg;fgv`!<zWHm8o}6}16e1Jn)6z6q
z!ENU%N>LRLe9He$tE*w{ubp@JaB9Sna4E#fTuadcYPrxSk|WpnaH8<4&*ajj^n!jQ
z+P8R`5T0bN24U}&V4jT!j+CG6)Y68EQKDw<zAS(G-n|7YsOMd4j8*MY?YOr2>NWKv
zXZkHaro^2m!E9d~m{+V<X`{qeXW=dLD#;@s=iePm&#r7GX2?lmd+qaupUJS=C^Oq=
zXQh15o|;RD32F2CAro-6Iz$$_^P?&CzaY7R7^%{k;>?1x?iQQz77b>fXHRtJ_TNsK
zZf3P^Wkh~g%^pt#M57wIEvw&$u<lQDzn2r*<$W@`-`_}i>?UAXxuUSs9Tr=QS9U(w
zLS#pwI9eI*3@%3pYWbV=K_2f%(H4Gx*5ey;3qyl0s!!nqB@6U?Y?ortX*oi(iRqBc
zjA`#ee{^8kgq>L{<gn&fslTeQS3G*?@M}~{<a{;lwy$0HH0l42kuNi@h(cHJb;d|f
z7Ksh<>y?q)x!aEC#>E?nD4wQ!*rSKEfH1PlkO(iYUBZ*NWVKKq9m><4+CLHqkE-T)
zwKTIn>SuN<M`ZFwD<kIJ!bGXHAIhJYPWD#_zb`FxF3uxTVs_^I7151q2@9auaXi%L
z5+E)$va;}d7_U<Ao$Bs~_2HY%DyezdsIAk{K1m?J$jHFw4J&D%TXT04wRd0<V<{v!
zw$y`s*Vy=no?gOT8@^V;K;q*|ZhJpv5pl%0-=mD?m@K|8mcOyaVil`vUw0d5f<KJ&
zy@Mi%2<9?kl2jCj^N)CkUU!ND@?_!mV?vP8Uj}alhUq%u403dum?2a>%VNfVhi2wA
zz5{H|uAmbth>H)70f+S-0V?4^*t|C8k=f?@`kX45g0Ti2uSl;}=3s@34)g+()iuK?
zaT9pMy_T7@Ul-#3aNeuO>x=sv)m<UW88^l^<e>zeiC*ZZH<pB+b93t^!eo&Shk<o<
zkHw?z`$}N^N}<0(%2uQ3T6P6TUnY;_Igvz<W4$H{z2_CrlorudJ$UXv27!l_wH0R7
zlWIxK6fv0eio;PfVQ-K3`%7#d(9b<ex*|Xj<xp`x%QFG2NTa23#i9dg<bjg~1x!Tr
z=E%1m-RqK#p77p-211wt64!0LPd+EPxu~6s{C!ke(%!KFk&+6r|9uZhNSD;S%``gM
zGo0Dq;OZF~Czc6*B^D(W$a^2NnyKRkfq3%q&7KYOT)0&Ca+^pRPbQ;m;)$AUPSXhr
z3zNaXz+fN;v2bzq0D3efZSDC@AzWNsL{!wk)Ko&$SFcz>%>aNWO52<RzLbuE0Tft&
z2&j*}igw%?Cb6)z<kV!+Z=xO8FG7Ev7XD{IW~Ib-g*doSJuo#w5~e152PN*uiiDpL
zb`y)uSA1f<pQfJ&Lq$&sHd;{8+0w@1bl^ACwgeg4h?r#b4;)tx_DAQCJ83+PX2qC+
z`JnyV)c<K9ytUGNBDL`oa^V5`TjN67pIzt%4?$Jq$OLs`y_ZDSSp_8lMI?<KR5>mi
zowhLzkz|x64)ljKq&RqeKk($zmPUwxh!Qs?G05jbeq`sv8xZpcX~!YjJ39qM$aH=Q
zKBKAQR|OOCXLwjbOzcH*NeL_9#2Wm@i2^#4EuAv~`XM<311hMDu&}XpG<lq}IIfF{
zNy;p<Jps}u41D~MgPC$}&r(oX%K`Y3>zPA?gW3jkB7dw)XiGY#Qc&G*U4jFCQ6DW2
z`drGtreZF^u&-y_;zLcuZG0pasmt8pL(NmuQi?)IjTxO=LgQvXA6+THUQXK#$ia+y
zCRO8V6d;A?ooUXxaZ~Q(uhSBzuD>HkX+B&q=?Fv$M^g}TD+JB$j%S-6AI=7tPfkz$
zGc(D!Y-as@?yo4`$=n&*h>MFufh4DY>V$y)^)|4Mzg-VSWMw0}mhv*c+#&h<`vc@d
zD>is`c6LoItuTB&J-yWFIE?YnX)Qvikd*sNclix+u?dTV6GKaDScrT2GmfJMyOAkH
zps3eW!`x{5;0ySN#+9v)bK}qCGX2Hxt}iZBHFYmH|5NPl>FJoAB>;6OtmNDK`+(jJ
za5_MKU+DDow6LrUT12iNoSMP~{nVjRQMQh#psN{_Z(f3ybbt*zreS9Q#si>4!-6m<
zb$GAO<5DxC?3#&<XeT%Lh($PhLb<&<|4d@wCQjA6b7Bi0M!tY}pN)~*!CCuX^|(x+
z;U;RVTB_Ad+Ezu#Kp@f4;bhh_Oh{^=NX@{&K-KT;>}+Ud6`r1+E^)nfehYR&5^Y^|
zwT&~GB@qA9$LkePGQu%3GCDaw@4PwPFi2H}wpas>o%QbFBi!%%g~xGLipe8;S_X(=
z;<!_j#s_C_M#nw5EZK&R3tp=_+r3vV5H**PH4s3CRJd8=6k|CldY=k`2IsH(M`)vK
zMLh&7wi!#`>C2NcWMSUV{c;h>QlwyQE)@S+|EUkFh@{0pcYJ)4`$){G+Ij{JRD!?)
ze>h%luJpXLY61jLn!jCb<L?>u8galXuWvm)CN*ozB3fn~;M=c#v}3)C*@wvp*ZqT}
zq;|*<baS_ZZZs<4H_J{p+j`#QzLa6R^W$e{XA=xZYbHbWu2rqWnn-SbK34+|FK>H)
zKQf@f!@8fIoFoUzLS0>5ImXu1G^n_k9zcIeC+uu*b2TbB-QL`+ZV%=6vST8?0NMl#
zg+ff|%7*8qUJDxRHu?r1j>u%vM}E=Lc|q)?Lpg^nZ$9;*XHnzFxe9Aq=8_J6!QW0e
zMgx<=+Y|QL3f1kuTy&imER{q|?d;GrG-hb<g)-3%3=F^%DTSVH4IRu!GJ>S2zQ)AF
zOqzIkczn>%zz6h<n8^TiU}L%2>*Vs%XJ~)wqpWOTO^uDd@HFE7S&HmZ(Yncd8rT%X
zw^v=+rPZ(|1$T}lm~qsesD&JnvI~ZnN2wOa7SSbRgqlLv+^QNgA|+MY#$kL(h!b3Q
zyVet=^SBty{kv<wj0htyF1uo$_01Sd(<H%h5dLsv8Cj<5g{8$smd~3~gXz53$xM18
z0L&O59E9}6zwPYlfrp%&tcijq?Dg?HAcb$<yphcmA^~d&i1oz0y#)XWG(334i@oy)
z*Uh0c?zohc(DZa-P?&wg%8D5l7FJkXoEB~f&R@*_c4G!~bFoQD!HMrQjKTAv1X!C&
zYCzraRdVA6i};`tmfX}iA}X0n(75y^H2<Q;GG;qzjd25wM|Y4C{#IcaOcPC>?AEV2
zHVuPsU($NHCKspG<W1T(&P^s7G<&KUIZnmvAOs6P-N2QVl@ahc(@I3Wekm+041gu%
znpyz%FgPti`_4-!dGzk`fE8eC$bREMf`do(OH9N?BNd=^Tm%>oZ4(pN0EN4|_4x?}
z;BB~jdP<}Ao&d-VsQM8S65{#1i3sQhV*t5SUrBLb><q@4ErFGl)oFXd#cT|Q7Unks
z!>OaxU0@QBSP5@DhmU9^OPCqU-j4_9I#<>NR{DQ#_0VC&qS!ZE${l{*+nzUUj#AQb
zuPy&=>9iZW{&qBJp)DgnKVJ@QeJ)EBp(2@-8jRZrKo87TTdL&TgYClUu?$M3#()=+
zF+33?+ntk>Qa4gcq&047ZN9Ut+i4I}go^O>o{8EYS)NACH7n<(??v0PkH4561YG5O
zu~`kiM2c#}pKih2DkyPedEu9ma>Jq{N3eX_7&beuW87wwXmsi5BGtpp_~w6JcMMyY
z=4rN-vNpPQ>Oe{NYHu$*b2)tbES}oZC#t#--G4l5B#fWA<}ttg2|9+;)2hl8VaHBr
zd~%gJA3Gf*jeB=r^kd}79xGk<Ck0j*z&{Q4Fpwc*6u5F`Gakte^_7okj44L9qF6of
z)1dl#!X)Z1b6yq(_nm~b?)kiBY<N2#;^zV9jX63Xs{1rt<^!DB3_T}nF~+nn^we+B
zOWq8xMXUu>`1HTfZM=uvDh#Ze+M^8A2G>9GkQtEJJ`x9&2Vl{QAew{Vnv(OBbWz~%
z*l<5$jMJttJ^{sk@lU0t+))8ibU4XN3+La9Auq9za3Kk5svp{B+T%M482Ji{{DlPO
zxxM!WfbWQw-xGB-Gu3EU+TV&5uj4EPL2O9y^Cc5(mlP6Qvom=K*TPg4E?q%=hXs5{
z5l1bLh!{E)XgtDGvv(jm>+UWD+e#YqJTy1t!V_3nIwCxKwI7ws!p#~OHVUEaVHuox
zxq#Ni;k6<<qvEjZ*<Zr#{ZaTW!X{3#;dS23fdFZ|2Rdu&wZ651M-~W<I*JyG=Ki!~
z#w^3>w$Ds_Q0p$a_r}OB3Z#KY)V{=nkl(3df#i^mkF32L!sKMQ!^R4Od;NUJ^f=<n
z*cBf6S_u(n7WVe!UP{FxiC@%;k}t;vIJgq66uT>ntgI@n<p`=>+;1$_h(H8K^P|W{
zKMe%p!EzTJ6=C`g&WS@e;rO)%UAsanh8r3oFp!9z0XOgZ5b<t@TQk8YX{oPx0bSYs
zyJ)x+flm1Hx{{9VDv|C3L^@AyDF+USN_-yZC?~-KSPdB)?MrX}^wGa(HZVWQ_DgcX
zf9o6)j**RncKCn*oXW_Yu?eKL!R7BeSvfgTykEx6IVqxY!24%|ydhsealciQpc~>$
z7DjeuM+{ANcJ^zSW+GpiSSd-Q#3rScH&gF3vE4F;juB`?CgVz2IPtU1TfuO|6JRb&
zlo6LFq{Frz`iNMpO(4wHL?^`*`cf0LS(JgaQH%rVAE>a5rvDq$4G{_LxidX<gtV<=
z!tq3l)hI%J>(^TfB@T=<a91RZqswFI;H}1_x?h?~4GoK4U#YX;oHU?Gnu0s^Gpl<)
zT@=dR(%vf~GyC{*c@rW-5Fe}<6yJHaV8D)=y!UWFU77o3>SV#;uC1-PID!t(>-Pa|
z<^#R3bRi;zH1+)v_TtbVaW}HJ1O)qzBxn?`>9}s0kYxr~i(`nu$$!*;x0xUGw`S$#
z1@Rg@hCtKLnjyn0?}-G3Bs_mRkc3M^1L|yNEE7A*XC)-~s4GZ}WHOydeZ}Fi=HzrZ
zi<2{1nWz$ybKW}aCBO2k3tq>9e7t+E@4-w42=V6VxqB8;6NLtegQ@um?I)geWz>s7
z0f|VunWJ6w<s#77kdEY@5q`@wk>DA#xls;L<I58rEac?0pc72k?Z03|d+mN>bovhj
zu6ML>D9~YT_)zlC0AsMiihKe~6KoASg_z}`rW0`uXU&bn7%j90VDfk?$>8i#!#Y%l
zKa)kv334@m!J2Lr`~|=SRxnD8R`m3kZZw3zRF4&<G0rGqs!{$lz`d-o;yV1wc8XPd
zE>KKg!aB8ptz8qV`Ns*m8x!VxOnqS>+g~`NH>429bjJ!*4999;E!r}G)F?3JU}ddd
z#z@D0IV9CxT<FaGP61L{*>SZ#I^3-*I~=VBIsfFNdB}hS0vSXh9kC@3v?%=An|H%~
z%<4Hm_ue2mSTQyji{3Qr=rMXS@5{b2I&Qq<hR|m+oHp~=ch1!w9Ia$=B>NiFiAhqE
zhI1gh3zX1vxq&buGUNlyj1oOQbUo=QHt*v{r^k9EQ6xV@3juWWdtBiI^eoc_@4#G8
z|GQ^x@zfd=6FdLZHUBHWxbQF$+FrgS7;k<9?jeER<C5S*8}v<^7^wjQsyLBfdeicA
zD9%J<VDj|Q2bJk7cYaHO^o2KH7rq%?qAuu<g1%m1WHXU`PGd2=%J!`j^x;Lt#qcxs
z0`Ei64h_vD?3Y?Xfo2Wu#|RVSabv*D#}jeCIOqa;%_29mE*%Ck_?<mrLn;9UnnOxF
zJD&+@C+I9SHTgHj1V?uK7_#Ia1_pOI+u{j|bnGs^;s$#A1x%NUt|R$5bnm`|6FJt6
zX8pn~Jshf!4!1!5)(`)Xj&=H(b`$o-o1|%F0nRX1mjmbDxBogFP=vHKJ&!wc0GV1X
zA1f>?Zg>91q80gXgdPs}m`5vvL6Vu#qui@b(9N@FtV&-R80_$i1LS-1-b00#+Sb7F
zg@7%o88b<z3oUqypCjAXI&A6N*KlAu#DpgE3=*+o<XoufU%iZxVYv||9Vy7p+Ot5M
znXETRRF9G}_BgA+s5?I!TgVcePda#C_hOXMa*J29Q(Wzzve3G(lYkbbHe(R}&8MY`
zJ43aHz#z%mfD3K<KYdme{Wn@dTnm>*Hb)W-yvk%0YJ$3|@qcdIWuj}u)T+f2dZg5x
z5=#e?pGxxa*0PexIk@~*D#|!WUMb1%pAjfZ<3lEVtsVAd*&<OdSQ>wl$UgsE<C7l#
zHvmii8Dde}D8vc8n04Uga*Wp+jEGVhr=05hg0KJIRH~~f1q>(^Rn&3^sNfTob%G)s
zFozVpf+)k$cr2`Jt9-=&`!bKTujsH4P|w-q!4lz^*w#~m_%%$xI}*Yd&}JzkOdd;d
z77py>%8Jqnq(yI^c6xtWtVicoKp;pX{EUxIF_cH6GDon;=-<AC^(jMIvVB7t_3Uua
zMJgR?*s}4ypb0@BDKhai*d1YSyf(;3C%QK?mVoeJLpSiGh<1nIrXYjg@hH>iSe6VC
zML6E;&oG=*H7Ron?4Ze@1dT$>_TlakX?NGkWZ%5=pVYm<3Ujy>fwzeY+_f<4aN$9g
zM8Z}2vOj(u`e$iQR6|i)H(KfVX4IKOOpw;2mHubHRha2QaSp_f`2pd>Z{l@v?0?hv
z&i9!V4o*}s(!GQmYIGbwAK|Ya#fx0*S)h|-nB@_CQ_~R%oxgu9n1ITmS0*Ynrr;Rg
zX2;LU8R}f5@To@=&-%B;aO0!`QQq3O4JsqL*-QSLZQ|ca!BzeAO@}#J_V-F6d1Zww
z|01@JsXh6{McpF?WUwY}>C8`}=l7VGIRLmX_hEs%ABTdH?^V9-1?yxRo<!=mv6wih
z<j>R5F^HaR0cUWoZCw3)nTs;eI_>EO0eBkMOE9`2*({&sphw^_F)$!miijpACQv^=
zFE3B-NJUA>zpd?kN@{BR=qN@!jhu*`U77nMz_4Ng7*n%za~}*0$n5OwZccm2h=|_;
z;5xuD9r&Ky574TMh=_dB6BG%>TDY+JG2-#e9R}610@S97Qq75Q8j>=IuP*D+Bq=t(
zDZYI1f}EF^5D+);0E{X?drt-u86|x_cnq3;z!N6|SqvVxBVvGO2eKIFw+(<l1_ZbM
zE56SpeSLj5Ab(Klyr&F+`;?mG%*<#&S3ndvbqI|@GJUQH%?4Ba0YF#7R3dFkqX7Mz
zs%sm*Z@(?I+<`(6c;pjR$Q*G|4g8agB?ymWmhe7B>1%9_ORE!p<mnazp7^-2tWawh
zNL7sG$>8g@coQ~zPDOq51bK_d*PO`cqym0Xa-CXh5#iy6c6QO=^;bc(@B)&Xm)AZt
z1SR^|oshgEf&<A4DLJ`ra4H`L0?vZ+0>+=%gaoQ(v$M@US_XzL5OU>_=2TT-B_<|f
zRn9Ifn8bF6fIz#iTT`Z?hdGYdr6{A(TV9$)U%nisOtbM;G@Z}=rH%$EG@*bKk<${H
zT|06tb;x%?cX8n|c3p5-?jtbWArn?u1?$$L6W!4vLO@8^eC44N+1Cfo)24utiD|jG
za8685n<1c+CNz$uvYQh?)D;!UmF(>8M?l(TX14(r7IrrGV|<tJ_3=vPP^PefaT>rK
zWXn>V-DUk65I_jgw#W*?1AmFXN&;~c=N-QRsWbUoUS8gcii%j;iLo*Nq9VG_pFh7|
z3K`kyoSoIoUK}5<8uKwWHm>k}{sPE1J`(qWe`#k8kBCsx*GB^!^6<S{jm~smzkcl!
z1}FAA+S_4345?xhToMfKF)}v~xxYRZrN#LS%E#HR2_#lBb6K?sudF2JihMghSy>g2
zp4akZX;*zh0+cHgn_NXjMdc)lGE~&mMvL{1h-hd%Cu={`e#?+!yeG#1bvib-Z05R1
z#2^tX8Nwg`&-bm-x#wQty;ViQXX*+e`!c)9B`+^uQB@_Pub(02At(0=>>49eQ)(As
z&^Dl|rj}Jvp}5YZ1~x<hpy5$wao$ygX5<Ev7_A-B@mEkwg@YAo6Fl9*F+>n4ayhlr
z6;spFIu{oo5*Kdo?y@T?FhG6@bmqVUk_9h3$~Z(2aVlS*o}GOyD`Of?=MDH6zpw8i
zub|M|>~+0*aR0#Qzq$DdV6nXby+7UIxbJc^?m@Z-%M|P+tX}d!@R&H<h9z_-C#O!(
z_rvP6Evwt;j5IbjmcngMN~4g$@TKz@04sw2nC?88WXPnTewvUEADDRzLc%c69wVE^
z^{S<%Wu5y0Q0}m}pBSQ&2@!(~z@NUp4<H#uD(Fcibe+!Y<Zypw3y?AiEG;c(n>^T|
z6j7j)<j348$_v;R2naGhs8ZU&^U7R>B&H$r%C3csrUCOxt~}N<9#`(ZXPZcA0D6y|
zgX5D(R;*kaS5#s`Lg<XSnHd{|fsIXBS6yF!czgK!fUK-+ioZWh8jBI^!0<3$x&2>T
z0R#kuFega~2{v?e^q!sb)cAPpg&ON*ff8^c6g1M&)Hwpr2TTOV%b_hv=+(G1)O3KW
zYAmSN0Iq&QD;nTR>Yb&mNMdGYjGrF_NCN>8kqH3*qh(~Y{hS#djtovJcMJ}q1_uYH
za9IA=<(D;6rq>DhTnx?45qx}n>Khu?K#P@)LwaE$?Zw|YY>;#YeB6jgNO3NgI1;3X
zh!BvpqyyNJ<QRynYinbx1a3!*{z*yd0bA?c5mlubB92o@5QoP*my6>SGEYy>ieJAv
z0UqJI5-Ud$eOr&?Wx+^N!PoHc@L+4TWs65Bs;IotC&R_1zVw=#Rn_XZ07-(~(JZ)&
zi;LBbjW?t{`K&;3g0&6G$RJ%@S|W<P?Iq~+eZDu))X@<IiW{JA{`vDKc6QrEh}pDP
zoZl6Ey4}ql!27Y4r)BpwG6L-u3dExmytcNswv?=_jYH(NF1mi$LNY3@Ibi)Nm5d?%
z3r7F<;r4uRZZ1_Wl`XH&XL~TU6JS@)0);XQ@;#b>@LUt1I(8qp{he(Wdc07<!^Q0e
zNT1z+8;Co<ynF<teaV-%uMQUm+uHnIzI<7kkbqMQ5Lfem{v49e5TL7T?2i|ik7MnD
z_GHyMZb)2#!{on!^l|V=JYo<PC}f(=fwD(laj|sLlnQOxd{tp#sFt>N6<EongoLiE
zqosk1%gZ^S(@eDlgZ`7$0m;D%FalO^tS%`wwk?`WczC|Xx;KeQkA9hkjqN|cfxEYd
zwK6b2uiY@EmIQ{@d*dy%0D9s;r;r)D`S7Qno*o8nZjJpbu$yFcbkckPvl0U}br7RY
zZRFnmeiae7U1*(FvnMAz8=G+mI++;|7ZZ>sHjR#sE^TVkZ5lf8*6)ujadmcZFdRr`
zPQE!xOiJo+ZaJfhseQPdF_?RPx)!eWxp#&4qo$(b;E{JK`&piiiKHeijSSbuWYEIE
z#1Fa#CdS8&(aD4o8WoI;C?=++Ou?G3SAk|Qct4QD=JG59sIXPQ8b<i)H@UMO%-583
zaUD0EqY<$hcO9sQu!mdpuCA`qVAESZW2j;#+ctQdo0%CKchJ9k*KG>5R8EeLmf}(M
zZ^~;0zC7@3oVqi-eJj~CG$Q;w7$}lef4Glb45)~BCuN_Snwzx@4S(G1fLSv$G3iwQ
zsZH&24@5XEid0ZLdl0~=4gumK)}9n8Dr1nBwE-BR>z5#JE=!J40W=z0kN)wwva4?O
z8xt3#DUhWz)x<smVrVcqdmK0O==01L<-UneM1%rdl#Bf-8QtyUV|3D(kotO_qI-Z5
zn*)-3K&IE(G&D4T1%1QCRXgScDnlO!9Y~0X-Z`Q|2w089;(Ha<!)<zdB1!o1zz;M<
zK9(b?qmM-0ZmI)T)ws<MX7&7by$ZBkkb~AZAdlrrM0R~8jNq|rM@MKfGBT%JZzLk$
zJ36xd7ava@y|cCkV{L5>+B{H!Fo2!B2y6j`kdS`%D|Z3XhsQ^vN1^6@&!p7UFpwV&
zvyF_5gl^EWGRDWI1VW8NP3V?mVP_90D0mCHVBVcdX;1yhVN4TMpP9xR*(wMJ_R|oo
zu2OzZ4xEb0gv34H=H{l~$c~KcI4UG5DJkj*8yh<S(9peMV31wsVb+g5h*8qjjXXR1
zocOI&OX-j{Dl3bk<@w3$;$Q|H#Fz+Z#BIP(INqEXfoZ7ic3FF!YzuTJoTOwgd~czF
zxv}y1UlTewj~Y{xXV-%n7{8htPS88~RlnIY3pgnNpB4rF)$2eo^FY<9;7!G+^~R9p
z)Yht7kpO|rJ(|!=YnnB?G?lZR7$1>Ib)1TRujktb=mI+?CviX@q9!o#Rlj~!f<34{
z6M=GOF|Zvw1)7<#ivbL&;m|iuIlK68--=^3p?1e^kp~zNlbe$@WZr^OS`~h-e7)bU
zh{(uT&x^m^>_3^B8Uaa?PE;%s(J4k&vycG@t@ZWwp}t28b<E%iL6-+J8$b*<SlF_W
z^qXh^KrM;45E%e@?I~6(v5<d{R_H8J18N9R(la@`jm^y$z@BezZGB9b`M*Vk>tDd|
ztEu4v(nad3Y0zs3f1jJ1YY22^3a2$*5~I%aDi3oj9RSxw$x<xja4Sg2Bhl&a?L`2_
z_$Oa*DHt3VIA&!~z))`|^X^><ygfc=!FRA{9M?L6Xg1X0!8-)h*49oQi>Mq<PhMR<
zgFe2Xnwpv}u1ov$mf@Ye!Fnr6OK)#)p!fp-PP7!&U9kwM?Hn=Nz2MZ}Wp(<}7VJ%+
zZ@Wy_*4BphtM6tEe8UDn-u<<+vW&E}F%Wi}v21bWm|yOv#y}NvhgE@|okHgVXOC)=
z<{my}8Fm1KyS=wJS0zo0#I#V=qH-5uFU6$SsJg|UH_*s<z@OK8<2nXDnyN_q32dyW
zo{i(<5gOT)(RnL6P;TZ<<F?QE-}bk*UigHt3dkO%5`b&NwJZC$<hBwvgAaD&VZ!o%
zBQkT2W6|ReK#xcEZd8K0*|chiN|oIJesi&kr&IaQsIkz%@XE#+XF)+hEnQvW-wtcA
z2a`qdUDl1jDj5RAa0XD2)8zu>nP$LS1?aQ`Wx5R=paV9wyu94~F^Y&grJ;cr@Y7vW
z>FW#)3}D-<2-|c3v#DuiMZZvO8Q+hdMt<P>DY6n!143;86k8k0VTXl<r70rv^~Sb1
zHWs7Se1tUV+qZt;|IY#ciXf)f1kAjuZ1<L5NiC?weFD4hFQ~VfgH|RRVB>%Rd%qPT
z7we)kjh@EhedCanlJW<bu)e{eA?jc`O+fd?51_^e{`@iIwp%nj-x)C%AdUGh<fF}s
zYo7;7pRE4x+d$-`36y*q5G!^rF1*&c8>qPh8zZzXCOX=TkB{#!XjwG@ek}tJkLLct
z6VO_Jfq(ZGs7w$9IVy+9S?r%HbLv)`$jYKZDduEkWk1!~Eg6Ggil3dE+nmh%#NYTG
zvkBODZxu2s0s~(F;pl->fB{s3Uy{CmXI#$botf4cO9|Wup@|LXo*o<>jYSF);R0o5
zb!BBreS^#fP*4mX0LaO6fb}vpEDVXAg~bq?MmF{a0*wv);3EP80=gPN;V3mE1YzU+
zb`YSs11Xmou1O^G09ros6)}&Zm5v$k^m_KO=mAW)nW14@pa{kJ)m4&vw;C?+h$2~C
z59c|zcXoPTz{32hsWC0lC{J>8*^&k>5h&+h0fIsn;C=zU$qy|9s_W@7>bC-<>FG)n
z$^3$XURgQ0xgQ?_W<lh&rEj1$Utt9ItFF%6TPPE>V*ZN2XAYkMqllIJ&ZlO45BkO9
zT>voj>8<xP;0^?nLQ|<vg;iPJau*K#2{y1e!DuA?0OOgu)?;cXFC1qn8o2CG%Lce5
zS%Iu>Z*TXgm+8)JE~%(d9MmoXUv$#i*ukN~Jq_wPiAS*Ze0%nbh5DU=O|ox#K#C3O
zrN4zH=)jdWIMWOLuUPeLkN^Q!xrxve0l2dKm*@Ncz2)xtXpHJb^;$791pIsymlrD&
IG5q>}09x`W?*IS*
literal 0
HcmV?d00001
diff --git a/QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/docs/_images/api_tunnel_grid.png b/QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/docs/_images/api_tunnel_grid.png
new file mode 100644
index 0000000000000000000000000000000000000000..3c6c30bf3cc0c60d4b7351908475485c34556a28
GIT binary patch
literal 70945
zcmZs?WmFu|5-mK0;KAJ;f?IHRf({zo3GVJB$l$KQ-8HzoyE_bSL4y06+<Vve-jDCc
zELJx?HQlFARqd+UI}E5Ojf_Zu2mk<(zsg9c001A<005{wcv#38@;1#H$RA!8Nlh13
z`|mF9Mowk`1tS*+8+#WUOJg!OGbd+DdpizhUS>8%G7A?M2WLJO7Tf>t0%m(BbCx;$
zb8?6g1P2){X8-`z=-&sbM7Y=z00jVil@L|)$T-V%*Hjx?8tT%~L_-6rd11#=NGhWb
z=+{{1u@PWmn#gm`q*{gl`uir&A*m|QJ%OcqhU^U`34@KLCIOQe?Xvv#R$EiE9vI17
zLw4<%<(s&Y#(y}uxgp4Z=sksQ*`UqDLxckA13U1zM=sC9I{f#j-o06T0CEoUFB7Wu
z+@1fPX2UoKI{x<pJOuZW|9vqsh+pl0CZu|a>Hlkth!Tu~{U5VL(Qyu-@P9u*gfb-a
z|Cp`Z0s3AI;9lO`1O*4fP*6~yk&^n4y%BQR1ax%?Gcq!w5fMfHS!*H`c)#d+H$Gdg
zt!Zik$x!tk&lSTAl~h#?a!d(8dwY9p>gbp}-5d{3OxRA&{qI(xrV&vVvi;w}sO6Fk
zAOG&l$jFFTSbWaQ&yPz<k-m$GiW)du`OW74=0in8W4u~#naX8L5TB56>q}2hkA{sM
ze81)2HRB1f;Ayi`2LrjO?w&w6$K65Xb?=Lg2|vI8J#k(#b2Je;`j5BQ=iTcmVK{)r
z7lP)N7VwIB_CR@cC;gHC`|EvvUfu_tCcA|uWFj6kBO@ctHn&RAt@3Zxy<=lYVPRqL
zNJw){DT#?W-uLI4U4DY!$5WvIG71WkA|imDogG$(?QR?%)&DLmF}9@~iEb`%d%jdv
zv(=@vQ-Kl3<mPB5G$Mj>sDEI<Xe6E*)^=uQX1Ups^18iPG4rQNY5&no{;loX+na;C
zyZwA_{Mdf%*#1)&CjoMJc=(Nx<bO@ul2&R&)YY-`@bil^+6k6=MDVG>z`y{@7aSZM
zSS{Qg97L?F=y_>qX+dY%2?>1y_KJ!qrtJ7<XJ@G~zn%7F+iw?j#-0DWS1j91zklyt
zSZG){uvP|@3D&wCs|04&#>Zncx3y88R6mv^yW!katNcP(-9rRBm4$LOs8CqU(Ff_*
z%P`wuG6c7o8N)2lSp3xdT95upr6!!GAQrjMfRsN>kyH~!z@lLlWZQp5MQ<dG&YNtZ
zTADT}rf{PQzm`M3sz#re4fcEhd4o5yv%7odQfkjYdbekoS=FgLL@ms+#*7WHR)c>1
zt)V5i`TD4TIrA37EhrbWbX7UmPK&4wPzP%hnflw+geyaUY8GLhlKsyH6fYTQVPP9i
z2y2=^+x}{IC&pU_1KA1DTguMw{r%=-t^%c(9@>jsy*N?$GcguO=Tv>~e*Un}Z~S2_
z25ULi1yzA<9>`z%ufC{&Z>1a4*c#Et#A2}TR55KEhEy5K9FI?%W?Ft<wzW}PLY51%
zTViFXezu)DIXi=oj%1=8U0m8L-=c`cbAdU{&C7-<CmKU++}xm+mX@52UTwrU`DS^7
z;LC-13|lfH`r%-Ef++ke@K@cvf@=xgX;Z>|EamLX3fri&f^aIE$pi@rpVEl1S_#6(
zebh#-xKsytiNplSdi0^d_=mbh72A*@Il1QOzgA2%Qo%;IOCTWAQdH?Vg|6o8qp2Q4
zS(H<I$t|Ypsq{_$B5FTwY;rBBqd<VBsud$|^`&o#S-p~6y|N<uLJX0do_L}-4A@(f
ziefWVdnZb!KCHf96D^xxg3ydqVtxtkHn;mgJ{AS`iaft?F`!0C+^0DX1(t1Sf1KT7
z0V6V<_oG4eYH>QnI}MvXM>UiqiMEwqq!x59-I9t)nClFh$=4w{inHRP4BA;ylT&FX
z-^yL;GS7&HM%`k`zzFuVPhc>3xy`-0Qz3uG@M5zgG%}KENJ2`A;07)rH8oZ0Sv3d*
z>Kh*)-{!$())kSG8nh(_^;udjzBH3!gyBUT#;`Zg5up^5@W1hfDJHXjBE+?^Qswy*
zg!9dsNvrPTmftgz-_tQ|K|#TGX>pdAq$JG2L^>QGmEXPUhlTG<p5$_iGp$CYcJTbX
zT7_oq2U?}9{@!4uTVIIlIXvB1W(fO}1Wao2`99U_lbTsuM?791nn0X*xyxTzF_SOY
z^ZJ0CojraFJY=a##OsI;!###B_ytX6Cxrym$A;Whxq;fC9SE02WclCQS^{oBV$Sf?
z)KHz-SZqQ<U`-9{*?NmAi@?<IFe?y@O7I2#bg6oX(7yf0lD;=`XJ_ZXP~mldUU~7`
z^ZI*-I4t1z_lXYxMuScw28{{;z~}D>En37ts*o?=o)a%5gkJ5Z7;HAaem6$`A`v<q
z3Ge;66c`!=pBDQIPRv@gK5nf+4J*JZp8~hSB<wQ`z9=9^9g_>gi1s_-NGL2PTmx5s
za&?HNf3Fab3)4sz9s9Y!xKtt}ev(e|!E8ZM;QjoQ0DqNm=d%M`SzarW0!<YRJ-t*l
zk}FBSrg3FG0sWaoWFbM=ZdmAU91ClqecnONYROWdhy84XNMvC>M?YW0@GiQwtRz$^
zHy*lI{ueE^8&K<_=30Fa(@jh5q-X}AD=}I&;ryvw$G6fmVG0$>AvXc_Zww^>Dq1rN
zs(E5AAwi&2@XIf6<dW00Y5s5twc#|cF6C>CC2XU*(D`>|XP~tbaSVanEoNh!@?V|$
zxFHJ|Z2?qu@51_etj5Mhye?;`J$CD!Yiz{a&9eAu;7F2KwmMz$7p?wcigI8kR^e}i
zg|D_K`8geI%6x*T<pEEV&odufq^|f1Q}RB}s|lM(EF@<F0R96VP#kGk_d(SnBw(QO
zFIp#sD72>pV-F|B^b!M!u&0q*llemBQ|U^<TWYaLGn{mWu!!uZWmByBglml09S4ZT
z<I7sa1ue<*g6UuC?URdA;q?d|biZZNc}S>dt6VX>9{Iu74KarH^6VNDui+yH8d}gN
z>#0k@w#fBCc3%|`S66~gtnkZo^rk;@<^ww#6_~0AAFK7nzkWrqv9Spv)`2H6*>+e3
z`1?5na57C(A0Jp%(|f@VR?V@$qSCn;&^YI}=8GIwq5c7hRlxg;$4B)fr}g_I;D0VV
zsdaUxU}PL;bs7XfPFU_<3aBZNVV398+~BH&Ijrf++APtRvLfb|=h-P2*0U5;h0k`@
zY<yJ+o*UsW(AuYonp8L`JYTodPFNTxAd~G9wW`BgE8!hwxP9Mv=`&jIa`<viJWKda
zBFl9&SVd_vx1sDln82HW*Pv0r74C>!(m?BKIUoGh67{PnJY;8F@Ul<9&cv|UNEZ_t
z&Mn7!(P=Q@m3C1~MyaPrt&EpBLz2dcHf5C_df}Dvyj0v8Ou^#GVm5VGWz0YZ2-akA
z$8q_73ZXB$NE@1cPo7w5Sz<!23aZpIZ!%DsP|{2~cXA27GO3hP%?AREEGb`JX52pS
z$qMkA#g-~Sa1v*U8bO9&0@P9#N{xFxX9I5r*Cz<t%HaAbl`lFT;<3D@ZDeXds+tY~
zRaOsA)_P7;L&+P~#&SHi`2PT!ZK(a`8!CMR?9|p!gBp>d4tTau7i&L>!bvw2@&olo
z%^_t71;(7F5+w96Gc?o<8ogYcad2Vt>dIck-v!ZUV)*nq4vVbnS*-o&4qmj>{74tu
z^`tBULb=KWV3TM==I6dlpM5S<=kd7tAcb-@ga&6$l`#PTsPUi`s>%pvI>0VA6x%fv
zUwhQ<1M;s$*-n1qSuf7GUTI#d*Pehh*GeR*XC;8A>+3D0pC>SHwF#2a!@UGQ+oG0F
zhF*CjqJ+<XuHE;exRnWFwq1MT8Ta)g8Wa-1YI_$dwPvg~tc#hKQ_e=Otc6WHh#qwv
zD6!8IavwR7oHr9WXviDf%vua@ebIsLgh1GOHjT=t9~wxEe#Z6xU0j<7FX4H5&hJ7!
z9L3HS|L|x%+vwPSs8aI>)TOG+D;%1~JqMo37}>&}G?NtY*$VPT=9#=LN-=V;xSxU{
zjf%Kjp$u7L?L?>_B1O`Nq_|&<g5n{6mm9xDeJwPU*V*+AlW&^PQw;vZ&lUoe&TlFi
zTwL<U-B`bT{)12FgS!NgA9D31X|Uv+uyjiTr4a`k4ECg{&z}+u8Z|2<dQ(Zze2{|a
zav1!N1n;{FBQE;yA|1(Up+S7y#<iOEX2oIzrXDdqad@h9v4!TEa|~#}B|3aN+XFSk
zid=Sj4B5g|Bjltw6)2<h);8qM$0tB1!CAy3LlO9W^8q)$&Z$?3vPyW6)36~8rKiq!
zsU`$_rO!=*FirM{qYa^adN*+yS9Ez2Q?$JQXwIMf1W@h44V$O|0|$q|2KR^E_Sfy%
z71$(M>d8IR-8R)?w3MWk3O7%;)1M_-B=9bOeu!|xdE6c$mP$l&uEp#;|GApr!v#Ee
z-F0`fD%~JCf|_)=mo;^A%Cy67B0ro7W`s|)O^L`Isej)RMnfVYw41)`u3(8xSDiiM
z;-U@qEaY)Nq5s({2;MV_(N!hv2Rp=OB}eqWuuDkYLK1TZ7d+}?115bU;!9?75HfCp
zW9Mgs%XVK{Ih(92v@8Ttc<Z!J-g7LwDn{fXo?hUTV-8mCFBMvU(y;M=7T!m9&qIk`
zx}Lz&-6A!n#fD01-h;(GoF>seKJkEMHONu=^(DNdpniJsnv7sV(%$GwO(VwQH~Fsk
zn9R0>8fSNmvN8fXp=GJZvs-@vAYwDk4&sGGicEyu{o>!52ZBm{6>JfUqk7y+RuQ=O
z)jinU2<z3*%>WFbDA6fqJx8i*0+O{WQmmv_!6|T-{=@fCwRT<`9!1@jXrxD&3FE24
z46%wee~i+lYX>0)R3s_n?!C7k6HYea^JBaZuDb|Cyq@^7N!kYWOKbUr8cbcNKl~;=
zzW2blzaJ|GIu7l!?0USI0Yo%I`T1Pq8&abt6c&?w3W`lBO#`@F-)zJ3>PCy;9C<Qu
z_AhQ7J@&%TQy&ef+<fa6<_{cJ(bjXVK5*0$5KxfG6{^HyY7=neWyepeTZZb0aAG)i
z%o1p4PKHktKQ6oXY1$i<d?9Fea=<O)r1uR=d`&xkpxq}rM@1Y=h<mN|SaS=kEm#aE
zx9#0R7>S)<yPU}xWS+4t&@+?=<)~O*9a(oRaE6|KQA*)Jy4s(DtF^h3h$O-Zi0O>{
z(VEp6H46}>!mu*a<P<R_%!dt~H$_KMWm<Z_zb^FO*^P?0I>=D=07p!~ZlpHY^|xgt
zw#K?U{!R+donrtVQ!Upkn_3~&wZoebn&1=F5h4H1icsGjDC(nZ(7=M+mF=H~{s?9Y
zq3olzH~h8K24$O4m|>lJx`|H>umyLazmlhcX{U>l$YkI>?3<V)1Zh<7JzWMH2NBA8
zvx;NvVe1T8OwkIc!W3gh>Anp8A6kS18k+}h&sVb?8T>S>aw+Q1YLl+IEG*apUB||V
z07FwHdzn&}TerzV22TJ0$(dt$)rGy5b3)E)hjYC-KBfd{uc=+1y}^lcXm?OvefI%?
zQ;}-)FT#hlU92@gW0+n506ghRaw!Q;u75Px@detJ8<MpuL&{Zg0RdvAVp>`aVU?DC
zow{!<{S@f>o&kqlV29NY_)Ca!Dc{21^1aemu@nh^@~gQ+*>Q0J0toxhu>gq-*q@V5
zdu6H`-3=V4;EHbH0R5RVAe8|ET1#OnB6-Qp38zTnX(V<!|1l>X+aLb#LQovebTq<z
z<NxwIysr4dM^z%6o%$ULW28xORTil5q_oRuHjR$N#Nls+DysVy^=NV@^<Ry{aID0{
z&8X*sf6_06^F<|%vL5J`s&x;p6D{JfLknVBKjOCTDRjI?oV=M$nGB>FoZvi_OPiyJ
z)pQ}zmt#FV9R~jN{B%&#piF^b;gZTJlK2)dTlD2O?9rP2-EP#k;_YBZ<%f2fb>Ip4
zC#brELu3D_<w*rOOQOinX5z^oj3<I6j%PKUZ-Bf5B`*rL^xW7+5o|4`k@V7iC4X`Y
z;0TP-Wh&8h?C8<is*}glBrIb>F@%xj-@L^INOV|<?u7(lb^M~ry~TPwxY<e@tb#dn
zZY1YhSr1xUH|kgwq6?k2*plmJs-c#E4GM!iaNvz;=^FFB=Lc>pe2ox+a0EqYL-GSJ
z990fGO|pZD&>-!~p7+l6u!=Kd)%1DevyJSZJMpse1f*6FR8ORci~v#rZ?9rA>$m4Y
zf%w%F*o`h|A5La*GME%WYK#Njc2FL?4m58hFXV5bKByPL0ujemlt#1-Txn6*oL!-e
zh2Nv@YQN0!2JBaKWv%j1QoPpO96JI6?z=XlULA22Y?Q~Y$Lwoaxw-rLP*MI<^1yXB
z+1q~v2;3cfNm%W%B)p6@z{FxGzce2deMxgf1CU|Lv5n@UhVXyvSz09)Z4`oUydDs!
zE-hL79IKTEQkBH5W#A`CQ}6wl!6d5TN%ymjzjtLd#AkC=9+uEqZ+5IgMcaHK3vY1?
zjv*@(zE&m(wR0uP_Bmd`R;B#%qDa-_CXT$>{t57MV_i`?0e0XMSgPKmWI3hj1wH;}
z`vyQ3B1a`6PJMYLhe_}qW09r+dfN6X%H?W6LdpN;&jF%61MY*XTc1sgGO$E_xZ<;v
z&l{)BC{ILCFC!ozxJ89ECTQBOWPl*_1SVY47`asLEAwcN2aE7WclV0&+iyzN3u~ot
zfDOgPq*;o<LknMwBuu&GDY7a(eu;I>s1};R)5D^{#TAY(?X;U(JP5|Mc%*(!aOwBd
zr<||~mH{{T9Vh#>WvAv8$Y>^h1Q9NJRq0V%q`evDL))D_9X01pt(Ok{{J+#`hkoJ8
z%ULljyJ%A^z9<9@hK#~Vl1!<!lxiA{E5PI>VsI1yLzud-($d3uFEkkTit=0pBA+;0
zqcdy5#>XTqx6W*@E}l$0PLdE(@78%<?sbSHmaap0@#8>cElU9vr9-LN5ngm(6*M@O
zUfL8gajN&16lVa-&aW7Ex?Kgh2Y1H@k>2frXvarT_mgf%mUGCzy+gz+XUK}nu)Yr9
zFT3s%-5u((qP1?(wN>f$%7Mjarg~r|H8LIZ^TxLyOFN+e0lwd6bMrQr{{)o?Z9Z)E
zevO^yQBA+g;B5F>Iayt9!fMjvFs{V|dz$sWI)6~l>(%Viqx7uLX7PNyoB3dJ%N*GF
z)(5?fy92vr$o=rKt!Go&{r*(kS6^Hd$>PeVR{)KR5lzTf08Ds*aF~SxDM>y2H@_|4
zOJARJg-cL;lzPhDS_TG1!T)UQLSnS#%grl5OqtRhI5$8s@~3nbYI;JK*JT~eVOo6x
ze{Z<3Gnu;>x?H|CahwW_d$?$7E`oD7*KQVH_&|lTE@Iq+3<wxkK|n2MZXV*mQbyT4
zT4^E7%M4_jr2a@yiNn2*&12vM&Bm=#%fx}8P5?evSJkCw?ys^=LHh%aK+PL8dCT(8
zEpeO=Y4bLcs@?=ze|b3BbL?3@gq7TB>51dXiVNfQw_`o;$3HsU4Zp~4Lj_FVk0_-M
zAtT=Qj+(np&Oe{t8Op)A6j`l2eiJB~B#x|weyx4hEGwO`Oi)uFb~H7|0Bp;iAopCe
zRQtg%R;GS*n=GGWwQ%w%AK%~GfX*iIA_M@nHA5nbXO;bae^A^+IpU|s^Oc4%dGL+%
zFkdVNmVWYo%ofgq{r&5&ya_4MEdAXkat4nVLR{Y~_+Wupi<4hXaQ*B`wf7zW=K1)Q
z=^<a=lTpXp`i77s;1V6`63JECy_k90qG7np4-)~zvb|-GO2$&`X+|LQrU-v}0h29a
z{s7C<vr<_;*<x_Va`#8ZYOzIvf^2#V2Kvb}SBVtWqj|M&R3+rEEblDyq0#dX=TP26
zv1nh*9t(LwYY)uHZr<`=3!Mic5N9Vtw?6H)xSa+zC6otw7lijJHmhkyp|VHsLLU(k
zcstUr?~(>7>u<szEfOmW`mpu)pxOs3NR{eF&;R^D)ch;DYc3&IW3gR=09}onDL|3F
zhlrvUr+VN|P<5tYNVCVzr7w~L#WUX-zZOOB2(ob;JVW%kq^z>2o<)_Lje?AH>B3Q;
z2qSr($PkGpTNU$6L3+nI?wc>P7;8mJQ>X8Yk`554k-MdVyEIv>!Hq$HWw-0rP~Yu6
zr4TYMAHLqp{_&ZQvY<G@f%r=|t}wC0S1onHwqqcS+;9x<?GH9`hB_N$HVqB;zMiJ+
zv%&rq=-Q*r&;9QnvpEJv7Kb6?gkKBEGLm_tU|KZ#uR<ZUPF?ajdTo%7^&4Y{){hv2
z*K++fqpsylb4NizRLc>q=8VKJ;mMckDuceIgt|0YRELNf&C#&2=43Bo%i?NsCNN^M
zPX{1Z9Qve{ZBn%8n+2NljMW#J^^{2D@<uYFDJ=`DK57cKpP+}`4FwjH?f%Zx#~srO
z|EZdcnXIj7!>J2tsCnm-`qcxa!fp=%z6EH<j*>9H`R9}d#!qG(=s2n?NA;x!l^dX8
z@SDfkzN4n&UWRCPS-2I^$}f08b9{!ndzLm6iGdrcl;Xv|PL?%pog*U+K29?GLvX9f
zNqa6HKgWj)fk#S=m@m!8AwJN*D~~gVKt|J{fV^rWfA-9eNwWd+g*m5(XEq=fAx|^_
zP(?c!Da8q>p^t1X&3|*c8|LRLz-HyZ(*F2HQ=;~Zj~_r~&<vH9b{=Tf8@kCkR4ELa
zZeN`y)8Z<|-bP76_*_;scwejpex54^0B}_3Xl`$$U6e?Jc=&R<B9JI_^{)PIlb2{5
z6MfckMtWFYp;S;b7iX!c>QAf`1|M(#z&o5lG7<0rma6Ok53qfl?>-van~F$;!g$?J
zAD44cZDrN0t?GsV-E&oUO_%T$-CPY$*h|6OwgKgKol!%dgk9`{gIn;&&06IadOA61
zkP)ovFHrpl33$}pDd~d|;oP$ZhQAseao5l)lC;@aC9D!>xBsP`4*zQS{^X&vK{}t}
z&k>)Q74a=^i#l75FC$!7cs){j^H<o6a|k>U{bXibre5UPnQ_qleTXJwNKqDtinivD
z7~EH}Xa<I=ZWdCzzAE7zV5(}~yQ7g2U0)vRccX`ShxXPd@^R8P;lvcKsYC6P6-M2*
z3{ZWdjjrOvV0=>%c|rEK-$XhAI5INr;lf<~yZtNHu9JcR)0=i47nR3&0^M-VMbg{F
z!pMDv{3uy{(SfZOVcMXw%05WVDbgSt?5{Ej&Q9c`H3=%lrGb4Qhqxf~_wPrH979>p
zhoZR}l=<y=S1tI<seUL|o?1_A`?4@XGCV=37${KTMI6SdVFP&EC*cJdL^d4`;6|J1
zuH@kErQ_Jl2b?r~idR7(^|zh!%rou4v!5!TJRVE}xx!Q)kR&L$C#o@2FCW*^*^I?L
zXZbl2kz`&4LjXrT<*cFs48X<xH+LnuJ3iqXPl%-4;BHp2G&p<8Bz3St?+$fEU$3;g
znB^@RiZak}ZUFIB8rJxIP<6ui&_I~PE_t`cfwB#c1@dwLB9xr#8+-{FVYlx@Lnf#w
zqBo&rKg1VEz$og3X739O%jwSeRf}9a?1zqOrHRe@8sX;}8V*g3fiabWB$uc8n62NE
z$;sbg8x0f&s;qI-%+A4z%r)^NmpyTmOkT_lsp(&*hsI!pNqK^M>qa%c{^Y93=9c<&
z4g+vk2k({1!c-OP_pD7pb=m0$L9>l4H&NmTmwaik%;1WSh@k}J95E{fStB;u$akwE
z4H=&Nj2lN;sEqx_5SNtoEx)pkW3!uUc;JShLyJ3CEmyFYxQr%N=F4=f7fPd!7Tqg$
z;RqV~44h@{$M|19(3u6_FOTz{B_EI9@|S;QgnNqxvKAE6dbyp3f6aPJJ;Me-CQW(a
zvQ&o$<OjwCja0>Xbu>05jqENB(dK5o&vU;rv!BdNOX{%2j&U}s<J_VMN>s{c-WNEZ
z9yRA^YEFDh=09y_ZLoHVLa8#vt^QC%?dD?n4IBEGj7~5<s<38a{Bmzl9x*tjy6UrA
z6G<l9b#71U<FsLkn$;e5GWot37YcD(P~Q-9?yuqdQAowcXK><5YcFjM>7^bc;jPsp
zFLl0c-Eu0JmVJ<Qr<@V|M3XzqiN?ph!)NhV!>v~4-jGSK&tt1KxphLf;)f?Kevu$1
zGJxmrmgB(<qPCcli5fl3;+GGmC(w<xru2XlPV;%Wxcvx%cBvs_7NcQSe-GG}yt=$1
zU>kf?L0I#xr%Zt{PqP~g0Me(!BMEdx4&~}0IJzGBGCf*bBu+LqRO9>BvVhgd!dPY~
z>j`}K{;RQX;j#J=W#o2N<)PgGS36-Iskl-I53~TcOQr(tmdVJ<`2|4f<=MBD%OB$9
zZLF!p(#~P`WpvL;cbujFZQSL>R|x+xiP#)>x5<C^YOU)E*4CIpcR9<$@C`WbYs^zd
zkL~d{?jkl*?-Qx8bR-dG&@`03gY)^%IPn)YtCGncW=J1+fBXZHurD@0YPPhWa!aYw
z4-<;4S0AB_c4DAI2Ygpo)6D$Ax@*O&6HCaa>!FwZd*g|*(<nZTn+lobRh|4+*&hjT
zNBrPbj)Mag`RsLEfWzmz^AeXH;<C1&oieKz7e;hp;<*h4iesw5{%(D|xiL6$#pt8c
zlSn^1W)C)Y#07fnS$iC?#dp{@L4OilBqRkJK~R#U9If$-Ah=me?FS61Z`7>HM)h`m
z1g}h6D)i$;tIlR+<pi6XCK<)EXJ2tKbnlDa4EHp$(q!~cvC_fYcH@lB*kD0N+}PN7
z*K#^ucLZnsHe8cKl)!e`AMT_NSZ0#@Xy^lLyzYwnc64^SBhs2`ETJPzmRtg_nXK<o
zrGS8~r86nVo{f9TqsL$q@R<eZrI-Ds6`Tq|ZaB^2t|@ub7MBK2h;MRL&t{m|M?XgV
zI?&Gde(G<uQkH<ANl-6PgSDe7;xRIs9f{LbRME2iHiD9!33fA;zMF_7lCoFhY>)67
zh&o1~p8a*=ecMP5^>3mUTll)fLNO0b33n$Z!(!gdx7@SVKzL4!4I3pD*c&gaD>F3^
zr+U2X`~^E{!CiVnIy(9|f_4Yo^j%E3vRj8k1N@>_M>&nNQu7@b$Nw)HjR29W^llsP
ziqSw!OyBJ42gkPf%cT_W^cAtW>uKmfRy%ptJtu07_AZ!0vxOqAQmt(ib<EVTg=v`}
zC@tjN!)ail<Y#2;1*zm$vQ@m>Z|oGf>m%Yz4u7XPU$;c7P*O2S0^WqG94<Ct^hNa?
z{4WekI0^QW5_fH+xZE;Zf_x8|^II`<=PdS~Gi+#Yc_Uv_#|nV9K_LP0%Jt!}G9FF@
z)@e1BKlEi8VTInoY!6SoJ7+8M0$oSnL}-FF=raNl&9&8z;s>%;(nC1B=UiUZ2zVfm
zGrzofw6ujplC{CsT+N-=>%Ef%ldr5*D)L>5TrsmHM9_N*eA3XWCm)5c<43p1E~u^X
z2d+@rO0%xCF+#>v^8_?LGdB#g?qIk0muvhNg>r|F1E*)T%%P@7T*7|ruVDpFS1^x2
zixo4L6ZK}+BZA_&kZLtyA*%Is(M&vVrc8<J_di40(INAq8=m?!vKQhfg(d8Q{a0?b
z!k}UedN!|v?q3M~Q5m3`N;z)pikDq{p5~R^y|-)4$34`_8d%qs^iPYup`1DOfenwt
z=WR{G2UEl!g2jTl-|Q*lr|{2Xw^YQ{?fv*rlS)QR>LCn{lkSYM(SgUv)^?3aJsVag
z3beo%!I`-p5)<(kG~(5AsU!X1>lM%C1TTD@copT+ZGOB;QCd0t&evOn8;6>nH{Zjn
zbN=*Sf0kEP1|DvUDIacWH}taDIS@in?uT+d3*R6*gj8o!zCdTNnQKs~(Q`Uo%Q_0}
z!=eo6Nt}g^xrROP*e25{Nt=LA9)ZJ29_9zMp<8hlRtbC`9lfVamV;u~2u#){2rgc4
z8Fjt+$iP7Q&8&B(M8u>^nlQI<LDi?7V_GS(T%ge-|2w%5IJ{KBN(0ippK;#(PS?5a
z`6>HiX5hCi6BBETJs<?mD?dffUE<NhFtnOhL!KbaspUh;Uqpw?S@jq9C!)Wj^zt^Z
z8z5h9YoF^e%p)6<A6;(((e|C2TY1-XSoCKrnUR8Rr}6DiA+1L9p@5*^*1m;8B&nEB
z{i({L(^d_i=_<vZ7JP_=U18X~Cv%Tzx?oo^60-0D&4vBtn>aXkDf=%3=5ELoe_y`B
zt=Wy`)-^N@di%44v}I#rpc-`RTzCFZQC!#Fh)&~bLCy019yyuj<xUwrPz>GA?ClMy
zbuy&rN-GAdr7^Bf<0MKd0BI7DM<T+J$TyOq5tO~_88b^8FcH!yVi4F=4#SP^PK`;Z
zlp(IojN3{W2>Ryk^Y)t0%AK+^rsTf6HGx1=OL;5CrNUx*`rg>^CuqjRn=&sO*Qebp
zM=6y5Da31g#Iuj=TZzN26x$?~nekQ+RtA5%B}TeVJax8E5ZgVf#5k$rgU8Gilh9Tw
zC}gMbB3oi|!Dswdr(eMC#U%go3>Q+bUfCk(25g37?Ilw1|AwDDzx(NAfLwcQ6`bVH
z^0T;$<KL5qOLvCkJ>6NiHk#2WoCiuG4K4Dj4qZ&1p!{n#hiO8WN_<uUmIhy0vE@do
za9EXSUccfM(_%C#*M8@qDF5ln2C%4Mp~QZ6J3;&#uC6U{ch|iP?;rHk(%l3S{E*?b
zJtGPRmdy_{GfM6ZFrM*bg*P*TGfiEXgnOmxXmqXTi>>vMV^>#oc{J$1@KN<5k-pf|
zNEoAUdbwkwkaPl~3LT8Tu<sD4p=oogNJ|}6ht_@{a0={Vh}d7QyCZAd&asQsjC>39
zWi>S=`yjTleXt6%slVYkmDmX^=lo3nxvwzMrk}VqK%8x)q=1TRT$|I1(VB$5Z+F7a
z3k&wsDK*dfUs4>A!ugKe+4$d=1BCvBM5=1}V=ATdk(}=?uW*sbgJ-z3$LSm1ywCs=
zFJFQp0bcEDYb}ADKdmkG6rt8ts135nahejRg#<^{ULjtFSF1zhI1zCPe$e8@(#A(O
zGJhjp^I^8oxVXnv3v!(~*-i>mPoI@N(@Kc!2al?Ut&b)lhffTy-xvVh2k(mD5lIsx
zv$@h4&YH&G{iDbc+t}Mbg97P1BAki{v;wI~Ck9jTq0z401%&*r?)eP@pY%Tc1>(CA
zaqxa(scMGfT^UIAo;qp0&iU)RpfiVn*;iws`~?dUTciDzG@7)lq6>@e^|+E#?e<Nn
z9oNcP)e#xHSPvt`2ibANRm|N#h6IlkJK*i@+~HydMm5jN<OD5qTCl6&!`G#{+UIfV
zGyViv>NK?)6AmjEG<{EB#Ca>^EPo@x_^F0J{LBy<Q#5I3=mWHCVT7*08Jm;w=O?MV
zpf+=N36#@d(Z1K(y$QOKl32=JD<}*_{hlnnugzJWb5w5pE$+eoq^P28N;T<k?}!w8
zJ37}d=eM;@oY|GW<{xh^=q%jt+yZ_#iRbV7JRezA{Lys}@MLD-X9%_K4BCL!1(R&A
zS{Tgc?tDR#MlINZtm4dwipTC(rU+p_v`x{fX^StPA@x-6{dWZZFv-xhq@ZTKudovh
z!mC#PfEso~3zl&|r{*{N`>fWdGE^bn4+-Xy^DA5z{7yo*w)5R*$8*qAU92R=weTyv
z19*J%q~f5bC4P$y|E*__A=?beH3;=C<2&`OHi=5z-y47al{LfJ91)2Sub#CTl6-Mr
zHkxr%ZAh<btUT6B5EX8+(ByOkE7AQ@=k~(ikc`CJ=VMuUlIG<NpKg~Ofq9>1l>tLP
zi@|x{)YgexEhA$A9$yhR1?cXleGUgCu%j=pVWSGMf0QjGXyK*i$xaLwhf{Ib(S#gL
zulu~5!1}!GkoMB5MV)G#5!-@i#t@{NvPG?W7uJ5U9NcU6zv%A<l?EHgXy+jVdZpng
zh0Eayg||iomR14}*`$23FA;VW#YkXnJo}B&U!FX6jCa&~oHPGaSUrWZ*;sW+#l)p+
zQ8|>{OuiZn*^iN|RVBm2yW-aKx2>IuB}Q!%=B%l2v^;*f)?Hl0L0dXo_iA<z1bH_}
zJv)KQpbcqq=V)XIHmi_D6zY|mc&$r-80fH6;(C!_F?JWJKSbOlg%)*{Yz4O};d=%w
z12Kfr;NmTpV3taz2{u0qGFXsz-&8pqg}0|+Y!_|vCjSR)bwu3}#_rmFhUG?K{Kw!{
zQ#V<LvT-=G-AvH^@Fjii+x+R*U@tWZzK>S=4Z-IUIKsRHb2PW2j$f${n6*JWv-I6%
zlb@4<9V#S5llb!N%Db-7Xq{!@=?j!gon!Zt5c^;7V^W28$;%#H3740k`)EQan!9i_
zHvX`E_hB7Wg#V$DFF7)SSWvv)9VU)jWAFSyHo}F?q7p_~93(3T=q`$&PJXe61#HWV
z^Y&lx(w_A{XfI~jZy7-W%jY%k-;$+9ebAQZ)ZK#FI(`O9qc%VA>?9O-28vZJcKj&a
zjdQiev%GAL^0fFYCVhi*mv5IsyF)LPlutf(QWH|UtU?+JZ?7j8LW*!be2>mHFK=_n
z0uX34hSg8Ia}12uHX=;&lBR$8)p%hCjVdfnwBZO_T3mG!LmQwODELloIOQMmOJ3G%
z`trQ@@`qqtwoZ6d7b%A(k`=Pm9ASn+bI6SNd-V+ONp+miCy$7+mN#m#Vuh09?q8kx
zX%Kd4u{vFKqDkMRgw1jqe61`}np$LToF5+gF$iEl`|**FvN;8bq|Kjo4-uRFw>^ar
zHS}6^5g8N5*8D*e{QLcZU?{;+L<J!?+eI3w@`UbY>#LIxm|&82J}7*_%H?<ypR)Ky
zvJ3ond9oiQ6zDs{J&GE`lKIgy34^-|dwaZ;VYy2X0XHFi@@#WtmdK>&cvO3R_;Ueq
z*&5YB^=@d(#0J1*c;d5&OEE~>RtNx(cN9^Jifp^Ud*N2Eo#S4>qW`jkPPFNQIOI;t
zDOiH=gz~4*`CNE;@e>YLRA2(J?)smrk+$>^pobiqAU(XVSP;LZEq+|`=;(l`r6rw>
ztu1=XvDWZJP*P3#Ua!FzV(_%EIs-f#+YC*->IaiD1&eY`MQRVMyM*Cj+xaW1e$6`4
zTJhNj4<m!x@V5bOvVQ1%&;#ZC7IyT8Em_jZqFkv8Wm^tbF^m3C)oy91aQ4i$hYgp?
z2n)3YA@wW{Ll{?{!K;CO!<ThzjEEnc1_F@)VOpwU-60N^w<1Eh&<QQ~k`m|qsXzjT
z7fYGU>d+(Uh9ASK)Ok0!63ue-3C7)_fKMcZpWcPekHDsImI}S9kbYlpyNa&-q}bUH
zHKG+~l<*TTmQM8Rcyi%`+Q?ji#aL2hK+1`9bm2{y+Hj04mV7W&=^tBT?qDLh`kB{d
zH*=Xdt_7u0F6qABT|iFZ8Kt{sXf0<cfQZQUYRv!%IqTVSpXSA}d|Jc00%}I;4+-ZG
z!52=rTi()A{I<Qc+EhOB@$DA!dmpN!Z=|jYh9ZR(gQdv!IRynDxwyD~`Z2+{mk|8m
zSNrs;J)CP5`YiyOMhYg+Ab@|J=#QZtO)!L{2_fb9Il{!x{jR<5mn0HMhE)$_dTl%b
zj+m;vT)vt(xHb0m<m1+!`4gTFI)TDpdL2-m21CP)jyP&)*9F>g6Owo(DA4P*ndnE$
z9RE0xV8rMRW<?<kkFd{YJAx1)u*ftz*{S5@x9d<uNmZhW+xA%RE|-ykv}?(y)zB%4
zb6^9d6>(X~#FPjfCZAdoVy?KlLVf98ka!^#vs!O%UMAy-oBPR_1`o_}WJ8d+<b*gc
zoBI(Ok4sa}gR<z+Ru`>+U|Y|uO3}M969m_4Ycm_~&erhLAQT352F=!lA^3hg{-`pE
z0Ol!SL^xd4<+jJwk$Y+PBC)aMGlKY^PwOPB5p8)$l)m{WIG;#nRN2^>tkka{L6V1-
zg1(J!zlN2EE3?83PpFWELh3$5sfMuire<bqqbQLfE<r2knwEKYdT~xBQ~{GD=Bd}v
zB~fNyz=-2_egV~{%e*v4zPMykqLEvjCNY_YdE|^I#Sl9`X2rFN!JADq^s$HXYv^uA
zyT>OfrHdHcqG~DG31s9|CnJjWHcw=k!?2m$S&aQE3sBkJ<d9Xy3uJg|3wsV^yWxlv
zU#Q70Ec|3L_|a&ZO!(o6r+cw6VY8>KLS<W43Tg+l%5bRDbnhS~Z9dn@{rKmF#>Bs_
zZ0E}{z;BIQetCqLzUBgp)4@gz_R;t#vGYhUhc-i?wP(EDjaxNhr<c7TyDj<wnr``h
zi!SjS8qzQ^{W%b7;#}UPylU_X(|&h7%%%OywX>e^IdH=j1sk`}c~vke3DIUXF;qdv
z#dWkmg)Kzlws$(W0}XBar-(4^&7FHs`$}Lgup~A~FH&^`f4No|Kc%WZYg&-18#}v`
z0~4bb-oA1*yhB<A>Uyo&H-3)F+=K;eb4LBTwUKeg`gijUo)jBiNtiYW^;)_M4CP_<
zC|FXZwhgIeGQ#BgIw!(pg#G&<t%mdO;Yg#7kecB`UkBOmSOTjz9(QCPP#O9I3buF`
zSDm=}(q|i$1yj5W+>_`y@egPOdx%3MjjZL5Foi0maR~<D1=m`TLC(*F;?wv<u0xcC
z(A+nV>!h#K7WJC#FDx0Qr8QMFMD(5F!Tg)KR#<809dt?IYz{W8urWv>{;9OByelX6
zUXVQXd6-W0<k%Vlo+9(x5^_{Z9#GUNZ6VA#Uw5fr>H$5w;+KQpt}mCqd0*{5>pY^U
zo7n#G0EP3bMFCHNQR{b9dj;au;~b`uKs`D5>6PFUhzB4{(@BRN4V?oK)?BV@c$F%5
z(9lp~WeR^Z#Xw6beG<)n(|2%f0*$vT9_gzAqv!Wdc|7($ppeQ2mu)(7_Jcs9+7Di3
zr(vJX6%dDdTl#>NKyaK{7x*NK;?-G=my8|+;TBesHy0C;)&6wKibSve-H5J;Q+||A
zRQ`K~e;Jwby9Aj_sPMWEv5~UUnZCa6kMhzLnPq<x?{~hCmsQj9d0ez(0Qw~6t|u$f
zYAKO&CAk{yz^S`XvKtNFA!nRS`a%yHgG=?JKU|7fDbVO36_vb|ejUA#c&W%)0xD-p
zVSKq7dr?G=PYJ^7=2eT#bNS5&I_Z}p`Mc|&9eh)->vOFY`F3F^$Vcg=g4avw-CJ&s
z`iTS_QxXUDufAof?A@1Z361Co((|6mZ*PCXk>=WK0fCGT`W+IJznR?4W&<_Fuw?gA
z6K@LS3uw(w-WwsM!{sqF8ai=!7P%dK_)*xljKR1bAB=1ZBJUDnEKzodcsi!z!Emq+
zQCc6{p5ZueWcn(csPDRCmO}~8AHq)Y1$f970~1MfxwVTgU?nfIN2X$hh$?qp-ns@=
zW}0PAcc}cZUP46kryy=~qXv5gJDln>VeW2FC$RbCusHpdyV{O-{Y<L@xF)7gg_xp~
zP@#K5LF$gR1j7?eV@8u~kZ~+^EI|qeyMq++KQ=TwCX+keg9#;!m4^<H??85AD{<K*
zS7wdT#h46ldKh*7CicxP|9^;@EvF@n-wel!KH97lv>_?cW1C!}34bC+4-EjAKRol3
zvrfaHPDTBvgLsxM!;}6a^LY|%?8Us;$&b|2p&RSP3x}lttU%jB?)24h6%GMTHP(Su
z^1UhWn|ovi8^9L?)19A!2^)zb)}Okm`S4}~8S%y?B}Z^bGaGJ&m^6<LoM#Y>%9h9a
z(c!-JRK;qgiYhC-c<tBgXq$mfB3L@RL8N}685u-DAtA;Szc}$&4Mp-_xowsMxVL;T
zzg6o8S68!a`oH_ir?QH^w`-IS{M{eB`qQ+P*W8R32!}fO&A=DNz`($lR7pumx6N&0
zyP4rzRX;?<GHUAl2SxoRdPrG;>aIc!gI_J^v!3D^kZ!-1t1|upTMT|xGVyb!%o!c|
zz-cd?rhC?~L~hg{AltbV=Q9e@brsUuBmz@?6~F#4faTvS?G_aTt0^5-Em)CbggIQ^
zn6=k@Pv{h;Yb>}ainNxj9?QJX@4wwcA*ItdUyq`2Q<UhB{^l*$N|*GN%~V_X)2~(3
zjwjFjbmwm}R`x!?ve<0(pu~qSL>oRBL+)9@;YKO*sixWUc4{Utsf4}1mJ>L6i$h&O
z!31)D*x4?CY>4gn?&cP3-1!b|o0EE`i7cCM+kP+C3nV`Gcm5&7rKf4Kca}j9Tc*|`
z%f^tvL20d9Ql+9n>35y(zV&}~MSoTsLPJBli?jX0kB%&Kn;oD8y>8HM{wFS~g(za=
ze|<stN4BrGoQsW(4cP2(mE;$G*oLmq?;sF<y}@j6Z@)Z9x2NFaBRHJO1_cKPziHZc
zy>j6&YUaGRIh*I2^n=&w%y+A|ZC<bwVIlJYkG3_Fm&?sm&QekUQ?mcsTY0hbGLTMf
z`Q4oH?j66}{u=3iFjOlLo&5`dSqKG>jRS-7g0x_6A3JIHq=hkKJw4Lbe=wJ|ZP{he
zSv#qjG6kqiK9s5j9SlL#dUHGcYUt?b5KJH}^sbvSE}uWsJu!hiCG^bLqT}-aFJ)qa
zK$ncn%&T4`mhAytgO7m3#Ki8N9;nmB%DxJ%-+&{x5*!x&$bkr4jupC;G4hlpgm76o
zIq<>3pnHkc^A&N~uiD<-1wOTg8zi@(;<59-NfSDc>$c1%H;6yBxq)Pt;w;MVBQ}fD
zIi=Qd!$J{!w>Q>^-8T5dsTPm_VlBv;8jOfLok^a(AM#8N=tCZ%ncuwxU^pYU%XXaQ
z(C)Qm)kjDONgHjDOrs2v%>{PP&SF4B65K@!=|%Sb4`7h8u5P44Iv2tqM4a?bd;uFh
z4RMZI$6cumUT4_j<Kv^1-?SK*nCLh-MHd`4%d8N|8u<5=5Oj`nNm+S$t{Oe~{5%?t
z!~-xT{4P*1Kk(6TAROD{w6f{rp9J?QX>2esiD4YZR$Z2Y8=GA18&?~!!_!%{7IBr(
zy(F}=!m}jO5gyN3VrIv6Fym`tg2?4u+_#yA-_)>7Z@LBsKr`~QAs=W!i{HE^C6P*A
zV_s>7+TV!a(FF-!uE@z$W!^kI;xe86P>hHHcv8ZjMjVvrc*k(kG3Tu1*lm!m)F|EH
zKoA2@<1H479ZyKvU#r!y+yh&?Ts~?F+WymVV`s5;#b{2G@t%JASuToV%<_j{0!^^C
zi<wN9_gN{9U|k%XsmIpyFhbAX+`-UGEn<2TCsnqHrIid?lm63N;<8<xi@I0?QBkOQ
zD^4OJqED;DL`1Q_e#u6UjEs;!AMWiPWmnr;SD*p}?$@1<)|yya-Ts6xFKaUDwPLNT
ztUNsI#*BETFzbaw^m<3{RT~hcz<Cg7di2hQ^q|p<pm@zmc3=?~XbyJ9;tNmh^%uo6
zfl7B9U7t)=t4XvQV&V@mBHttwPa;GU`mSD9VITor>>!v>X5Amfdy!OfalmFS3vd`s
z$5Jk}8f^0b(~_4^_(?q}>V<E=p5c78?d61Dnw*?GcEr?UCycfR;<>5mNbV`)6B8qD
zD2Iy6IN3jO%|G?skoQ0|46M$tDqMd0SGfN^5-J>;nxkm0_8(!Dj^VZ(>>onB`}_k?
zzjv`?%LXHQrUlFJ`k{l~!=zuL=ca4EM<1qUEc+gU3AZDWrS*r>9$Yebe9)i$mLq0+
zomA5YTg0{Jb59m438^p;AmT6NRp<Xl0cQ5T>i_R}Z_jkP*blyj9OA3MQnhBUTY9fs
z$N;mr54?_Z>XzNV;|<!5V|%S(J}CG%$QCbSz+S#SH9C8|Wd-Ox&>H5TN{vTKI3x;Z
zc=H*~pM8$>GlYk@u`J?fY*ykAOnxPkizmv@lMI|!_zs_OI@zHTitYn7%7djKx<wh%
zAk@DDm@G;G?HWq%XBa590%3c*$3<KzeKHWm;Qy6e>5CW6Sk$;*=rigz#}Z-U<A-&4
z-xFAr7#ka-;o~C!F8}`hnV(O2cfL{Xo&$*pjxP_60=M(3QL9c6T~z3R@!!c_9dc|-
zGEAffxbGN7>9S0b*YshUb=nj!*rnt*@Y*W*A~KtyKyLM=Xg(4x?&x?+;Qn}tCsZij
z5XYK$BRT;(f};R(oJFjr22<fzG=xJmbZ1~I87N<J+0%tPi-`1xv~-BcQ20i(P*Hh~
zfpfL+^{T3MA<bf<S5yfn5HmuylJ2%u`E<ObmVB%Ot(rH@A$}UsQuL@V^qQ=&II%rC
zHSqj%0o%mfBPAV=e*rVC25vDk9<Mj+lQgJ@f0@`<>SON3@TSMhD{t&KI)_~+=J@CW
z<E;znID+i&4m?ruwK6QFa}@O&{nn+}5Xn+UGM1Wxm@&!|pJ92hj6WH0D8D|i*N%$Q
zgnvzYCt)iqpj?{U)Evin<gDQ{Gb2cielP(1hWCXY{>{kF;np$eTMh$+jw_ZT(3nGX
zd{|BSCPI&5qbTAjil5-SM-Xc*n?ZOblt<;BQw6=_t2n_xVL+J&(e6<w)xG_ZB5A_5
zxQgA1r<S|C>_g2r=<<VL2!PP*jjEcOn&D=<Cm^83`LK6j00sgKJ^~oE>*4!Cko(Hi
z%UK<FBwntDNO?T}QguEa5CU3JS0Mp^cf)-Pf;y^&Y=8d#{d?0gA|j&iYIlguxF6o-
zd>!A>(b41W@$hOp5H(LOg_+5BlqfpOmQc~~X}t$ekoS|Yx_Rm<(WIV?qdwi+s}0=S
zt9(k4I7IK-9VCS3WdHF4h0pfl82)C@dFs==W{Elhmf2SSK#)tnolr2eKT&YruTyvJ
zz#o0DSF6&$jc5`K4~1zjR|wxvvQ<mJgl;&K)bc0X*ea6T;qext_QF2)_6<S3hCJrK
zUjhU=e11(TcWMU|?4~$6IDb%4)Z^^IcO;ml4-*uAe{uFTo`UG={-tq<3jzYbeW1R%
zIZQ~(o4entF@oOo*hPk1f-3Y7Ab<8a!Mz0$ZQ>~_D?j`lV*wu?!T}(9<nB2o;V6hG
zaCqOz!_yO-3nJ--tbD4gN<*07MOYeK%eeNXPg;EQSd2`%NK#4e=uAl{76QS}q%gY4
zF+P3L2Vd@-oUlhbk(0@;!9k9cEVct?&N5O@X;RmFe3N6WlSco%Y>guCs6rJsE)t!P
zojj+=hfBC#AyHLIcQuv6!NnL(L73}bT+X}%CzD@Kszmcu=vb4pTC7KVzu=u7Ttq7W
zhRvM{C2M}<@2hjB^`$EehYXSVvx9>KzlJ{EqSdh+Vu149UL$27x)<JGjfqkLtHIQo
z?LPE*7ZAR3?%;bz4apFyzF}8e!vTXfqyaR2L?#i9AXbgW?c&}TSbxAQ6Qv!P_oAY!
zI4btC>C97ej72|I7S&D|%O?4u#m~kaI^O+}?T%8FZk|EV+2*;fjlovz-*imjeiuc3
z_tlD+9^i5OUSzV@4-~kX=n8E!ZI&A#rgwl~2Ib|&NEG!xUOp`y!=uO_csxR%{9e8C
z%JYf)IStBWTQGQ+{yGYsQ=q(IgCGIV8HDJ509<ix=%p1FMxkx08gBg+b4dCEYsLvP
zYrmAsE|Tkg-S)_1*k9iXPkaXFP70^FGS54@kc6nKG$lTJHMZP!g~gm%Ne7rDF2f1@
zZ~Zy3{)~oo&?}%;C_z$&$j+T~X<SZ2#6rJ9yASM1T~|v?fN<Nx8$#>s>`qc`hsnu0
zyGPb#D?Ag2KPI~l{jP894tX$Z)&NG9Uc6JCtxe+`n3gjc1pS&+7-;pII4xl3m#uh(
zp9o8y#lnv}`>jB|VbhC`M6efu&H<ZuPbSRcc^fd^`-vhBo*)W`8m6$>hYOn4EqkD|
zYX_*ICR&Xh%r=m$m07DXJSLF|SK3w9f&wdjKgd8j@pE4Or|oGBIAZ@D@wv`{kT=g1
zN97X<e(3N&)~AywHyoji^;6jb0oHyBc(&z~r%@ON<VFKwblii<^7Q3))+0w1BoD4A
zxG+jS4p+34n!2K>ucJVkRrnB!tpnps3}l5GIbWQ7pVvH(xcgD>{a*-Gst=K#mzsk4
z)gWE3pk$Yl69U)QvrI_i;!Wm;aDh<2V`I7{LcL=HmAA@Zv}dIc(p)hoV$N!vZJr^X
z&h@$qO#A1`SWeiR`VSl!DAS&}X{;2-G!hgZPmnhkgcfvn|1<p?x2AU5sliYgB5z$4
z&h}X?<keB5AJeVCnq0W(LlktMAUuY?S_w#BhI4iCa;zaeAK6c+25aR1Fm={ZQFh<k
zA3(Z0C8fJlT2Q({8iwxf5NQMv1*Jr~B&EAcx)G3Wq@?>j<MUm=_5Q&^U9+5-`#$$R
z`&|3lpH143eERFC^WoeP$j?9*%;JB_f>5phGS3_%eGEA?Ka9>)Qq{wIw|MrrP}`1R
zu|67|aT2#__X(D>7^=48c?i~q+ONx<SZyF2BY)wj|NQwKv2}3x-w8Vr!{L|&ENvOK
zTs+wqm%Z&kbw+m!35*}PkzTS(B13G*t4~Y}U%%CKvDtpjRJ^~0znIm?54%YEk$YM9
zRqFIrgkmOTcy>8IQ6gg|)U@%*SoC#YOx@*BuxRMMs7`2Pk-~3^C{9QVO&%-)9gW%F
z(zVH7JdLj*`ihGMcVel$ODDc~#`YE@RQE;B9}L_V+>0WQ5yCzA2Kf1{?&qrQrpR6v
z-UKC<{X}6T%zgMt(n6546|HV>nOGL1Za@8}kwtEM*Xv9<BV>d`m<~Qmy=7%@JxXQ9
zvx#bxJ_-0u5m1peDvpkPHmr#D`s@hf?#P;;w<J&Lb^7)Ny8Izr4jN3xhWzAsMNiU#
zgu=>~8$&z$V*NO*0`XtN%gxR3j*-&!A<<NqBOCty1FCE~-jmYd6e+W4t|F@}z*XE?
z!x|y_hc?@R7||Ae*XOtIZpwTmizUCgw`*kaFz9N_zXgBDj~mb0<L;o^7f*e6#j9Jn
z@jDpe5?Nd+aHy7LB&3B|`NuqZb@IlnJ=ydstUgEaas+2qh#L(A3sOX(;5#0yd-C|O
z`|a@4#mc~Z&q8CPQ|bs6l<;Q#Xu{Lho|HMo&Q`W$AQTJLg8Z_p?}^z8HPzLHo3yUK
zJ@7s2<!R7KloJq-EK4qCp$p-C!XVUMN$>gGG?dk7uQ=)=<QP|Ne_fxd9rZwyQBlhy
z?~8~lzv(j1os>5{_i&2q@OT~7%I;A?6`{NznHiPg;&Fr|NF^WZ&xJ-7htzWod%W@c
zyuWsY1h1(Z8`?_mJAXSI@zSd?qiGcVMe}?U$vFL5xL9F+R#;6-o23FeX!~c*O@Dcd
zY9khx4jy-6_9;i%1&II)PM18g)a}gkLZ<I>y-5MjdJCXO7ghBc>T_2eN9HgA?ihAK
zVMjNC-lxSA)c$7&2k)l`k7R}tw3^R<2>>bQCHZoebkkxMt#=GrKo58--X>gL$XxX=
z9b>pe)EGUl^ar=^i<`@q3(JMGP{f)0>`}lH(NY#!psESm&2r#}m)%#}3kX*aEsl+h
zh4xWNKy*ZWGt)Zl&#C8K+kQMQ6%}<RHER5RXMR|}jl4*!IN_V-+o=t<?n70n#SSf|
zn#BJ5!}+W=@M)(+v`(>x!WN~k-X^lJJ#pMr$U2opo&HW5z6T<c<QaZ~a6y<Oo?Mp5
zE)M^Xj!rfYXT-=iM8%pTB%99`8<@VjaoI_T1udP^HhLY!+9E7>Oyf#h8z}`)R*5uh
zkg3_fC}BQOt8rvZ@+eH~ejzLTBKEBpl!9I-OT^uY1wJQi&yiX_QH!Bx#kC`ff*Agh
z3){oJdiq_iHVZ%6k9P@vH)QV*l{zbbzf#l2B^E!|{}D4=q(-@^Hto;8e0QNPD;JsB
zs1YK#9T4K)$GPl>g*MTUlg>!@*Md9pSJV+1i#)-}&CC(;;sPOE#5LWsIZTcbBU2}i
zY0*K;&FOl-QV1h{IgQn_u*G(wq{fTp(V}Id?tRzqi(0TJ<dSV0OWObxIWYUs7JxhL
zU9EwTRu|)w_36vQzTh^>o;2&V@LB+I5!I56bS*5b6mK!&4zM!`!#WFjr|YdZh5zac
zq3)X99%j18hnT>}3`r?3*YCnw?+-7oc9vgMcvtk~<tjCc9YDds*N4u_G_ttto6|k4
zdH}pNvS+6e@!r@Tl~r%+tsIjS2;JNjTp#W{DTD*yTq}vQ#$6)!%0Qj_|Nn51<JqiP
zQzx^CV?hbxc>tXO!ur$sEW4N1qKX*b=7|v^klRJa5MdGl+l;Ut5Fmfe{!IvA!;BR8
z+WAXg%7<4}Yy1+ky^7UZnvG~Ze$;z?8@q0D7RS4=AAYaq4AZl(f~EzBVgn5r$U}`v
zCMH-6l}Gyq@OS5$wkiI)DSGyS{NolRBLDZP7$}N&v9WvK68El89z>q}e)tse-z9^9
zjUq=*an?IoB0^;^v>k5A#p3{t*ZsG3p<HRl@SR33y(O)aH#kPANNW2IM@~N#(gJ-%
zgROxC2y#f-#nSI*sjkq9qIEr0-6HpD!H#oUthF;gjYcPrm=zo*=y&1qrnJ=ZYgLIB
z9b*B>_J~p6YACVGTDN83jnMyULyTC;k&AC%{wezN%qEAT*o_CSu;N>~dSMwuIwQOG
zX}rQkk%i*LFTZS$;!@wI@FK72LCr-3H8$HW;>P2Vz7-RZFUoJ7HPmYl^HrHG=peG!
zRAI4yDyfm^6sGodr*Ds`hB-@Q6QXX$W+h+b$oP9ofgXIzx8s^OnX0+iVgY{b#Z}=_
za>ub}|LP16!v(JFrN(eOXlrH7sk2=@O`_uSXYhX-J>~WWSba7#w2`7YUKM)g&%DuR
z)rpK5CxsGbPOf>%Z4aQ}3crq5Ws#OGM3%$&6TV_R;&Nz)o{}Q_s894ohlZV(ic!T#
zYA8#KfFNnVZzgD~FmXC64w$UdU<>>P>;b)>x7-UU{Vn11B}53EA6n7VRHimJ{_W@x
zu;VYqv#-|<X~Yzcw{Y87K<@mSI$I-^jX3D@$b5hGfbRB?90QfrxiSlzJ?jzO@7%Ua
zYGT(TfjH5!R|h$cdXK9*S?mOhSv;`iczHNOA}R#IrODXYUBdMGx*sFSO2D$%&nl(y
z6O%$LG3HaWZiCG949GV^gBG)jEAy@?Sc<e_gGZY~(+IUm?q}+5yg)({i3VP=em_US
zf)lwvJ%|b_(^4+MoI?Iyp}xv+Ho#0hkw#em(G8*C;#=QXQQ+$20%nrsw4R7NKgZXB
z%yL#V@Wq;B@*GVw^e|)*{mkYhO+Yaz1nN!RZ_(&EVN>1TKNRw%fLHa;z^Vs<77M1=
zGvoG+AUKl6K?HeDL*ANK;21XClgnnP^mF3Tak2-GuJ2Or5jW%*%R|a0m$MV;R_gmS
z?WTo@aY|)l83RqhaOOCq5@bLAJVwh~bH9<s)gN|d`|vM}!pKQW;k*k|+m%W}<euGW
zGtnh>X(YG^4|jK(@N1=Mu-%1IC!lOkf5=u{`@%LZcVF+gbB%EJlu%1zkC+;QbG?w6
z_xB#xkxaqlyH%CE;;vs$w}{%dJbfkIY>1FBCiiEXoSVRFbqt1w!}z>U5$hcX%LtH|
zyQr|TDSP=0PAK{5jk;rZqgvALKutEDCf+Qk>k*%)*xr1mH_99!JA7%2nq!{Oxb)Io
zvqCeMk8akbh!v$J$j$ufGd|!>=Y?G4PPZ^;JQy(`PF@x6KvzbL>ng@xIYOq`#W`=@
zK=ye5>CNNAtFfp0Y`s;3`KEU*_bwcVc!`$hXWEIwTIO1IU*ldQ*nO!=fS>7H$DM`S
z_y154?#C&qe3oNOx5rm_$!Cdn@;PCFM8Npd7wAFOr}nH*YOKZK2>Nin3%H;gR8j49
zY5R$$?#k98V$c#6(8aoTfz^mCpw^rYoS$&+O%q|N4=)UEkenRfx`+w!S>5Gks155{
zg|t7kt(#3wlbLnFD}mnhryVe=0f)xN=#UNb)ro;;ozIoS<>naZrF}KbOZ1gd2BXz7
zQn@#f386c&c2EprGErm2@XNxAr-Ut;Uh~oHmJ>ug7%wT}h0mm(s`^L{o|$Xq6Vq*a
zAi;MouF@mN=*i@R9ny?@rh;+3d1GIy)SWd<y$DB$aLY9CH&bPKa-(UX(tIa_2*%6s
zmxaV%^;qq&*51x&aO2T_rp;dJ(%OltR92j$rR9f|xPNe-5f!H-B}+t=7!1~HKwYPz
zjFHz>>dW4_^t@;J9_FrQ?li-nS*E#n12tmhv0!n)17-qT^G+*TGNmOksc@vCOU~b_
zLde3OW7_S=B;@Sd|B*G?t^c*U);XlUI#_WLlC-o14^9K<L-f{L&`+JGP!R>ugF=OT
zMPHw?%xFaBTgY=WD2>whj#U@^FI11t_`pC&8R(u0!)xIGV@lw*-YpYF$<j8vjxxb8
zCmuc{6b)}aX1ig0n;C_5OQXWNrLD~Qr(%n+Eo9RY$4ruO{g|0?-|6B(dqDR<vCFeO
zMH&xn4+VH>YssB*reQqEWkM$<7DTU7!hJnCOdMh4?}rf+18UJ6`|}^yIOrsrNPwHS
z!r`8SY45pwK^;!5x<o><<}<F#oSD55PyL}rKJ%|dXNa^j&tgjE3HD}u)@Td(+;XiV
zQ$wdrxbt;QORnYj6XrAw`21NAb-t1}=r}-`ZwpT|XC&9Bo<b_t+nx-iN)X6Ul7`5b
zI1#_MoY}9*^1$1m=wxV&OAS>nP_UbSX_Vvw@}&@)buxg0(;US9?j_BF3mw?V$`=Ul
z+C9GeI}BGiO(u5L?E-_nAj8;jwlWlpK`@t^%TfE%e=jQ}uzU8k5lwK^X=iJq2L>Y$
z`bUo;Sw0lTLQf$jiX}A#ozdx7qk>dN@DQ<ww%1^JPtL58fxeXJq_K~_g;5i{v5hQ<
zMFV(9fk|P;3NP}m3#!#iHf{9W(bWBl<XE75-cGDrADM<r;Ie-veb`hb865g>j*s%R
z=c0W5#NmuujE9fnu|yaR!h|A#KX0zIOZnqjybD`tsQHv4xBW7Sr){pW!dzU#P%N%+
zPrq=iFr_c8?6{5HS5kLP^*rl-3h6i-y717r0p*@#=jaKv1Q8}WH%;}MHou-g&VtQs
zt~Lw=#xvYjFURK+#Cd{rgDqTpi~V=@v3b@}m(<q{{^*WclaASP-|R6#*&T@Azv}sM
zzm~Fd1vyl}U?w7Bk7e<pLyH)il-u4bZe+mQ0M_Wn?Kf<hA}#2Hp|NUg7dQXo9T{?-
zbU5i~94`!*@gGVi3gAsL?zhdBr^#^dn*rV=a&lF;@|LZ!$tygvtqQh|)nS;JAz3n;
zsAnWrvT3nn+5=Ik!CFo%#h<B?(iEg)wRyLsvi~ZAvn3EVT$oajcLi>K)Ts+sFtI;b
z(DTB?Nh6XUOh$+-Ig%eTOVEagTx|^pb9-swWPFvNFqnN%m}5(STQe+F3QAK-bF#Lq
zN_mRV8FuwG^qCtwi|4JPqd-8oG#l1^F>?tm-Rvv;nw9AxsMYd9XBg{y&~Vhe*OWEA
zXS4HT9ccpo?aB%E)=C_5>y#%eE8~`_7`EMk0Ufxkq|l+!7i|Tk_SXsetgEX)mC*JV
z>l~VSa|A=>B!b2$6^d3A;&>+%H&?D2VG5N<hHZTsC&OX+Ia7(3d3WDG(S?~1g6nFf
ztUSJ9*-U{M33YqWYk{3qtB79wYeWx=yaW4LZp6zHf@)a26vqAg-AXBsn(=~fcZ?eM
zFWr107n;#~xjEU-88o-!W{~xtsU+MpQOA@GSh6Uw7@MTH9M9_N_LI_?e=_%6ciW@v
zt;1m}k{fceO-mFo*fCX=Q$Yu4pc8r(5tmE`dWz8>EUieKCkr}R<#G+F2gkW0sb0%`
z)MCp?xTA-M&UK3D)5fyUZqW~ptI-GbPa!j~^hh^v>HoOHGK*<pH^0bVOJPA|07#v-
zl6T>?xmsiKh6rdgp0+Z(&-#y<%+Q~9TA|yM6O&Dm-7U-?1E^y`T$NQ11El@Ot$f-X
z9#*8g5CdtgQ7O*UY!@t;k^Fl&g=Qz*T!jm85CVRi+1r}gxr66(xbC|bJY<V=%S_@u
z&A(T{JuXyG(c&K81kwRGO5|h~bIa>!R${jms<jxEnLA{x0<1D%1$R%tqwTFmwUWh1
zn@}78%BPi9S_G4UO!szAqRtz(fsSN_kSSW!CiS`{gtOAQ(gcMpZ9d5%KW6Dj>0Ru?
z*|0Hn!`~jHzL#IjwW6>oG?LVc`1%i=IVc7LoJt%WX5oMLCTG00p;IjRuuB+r`r}J{
z)<hf*F~+*%IW=GWM(Or&I(P#q?!n?z;UsDIFXl9!P7b!T$%7!nP#I61W*=&-xjnup
zaOZOF!3elE4^3oXFhGFv*>p1KbM|;W{ZK>-=sXqq%G8>?Q;8X7%@1k7;Q(ku_^l6q
z61f_v8GbR#Cw;5QAJ-!}vztrMa;&ihU=QdM*pB4Y84_B=#8K8Ac0%)CMC^7D#$+{6
z1Vt`;5cnLQfV5EPAj%~8U3fzSDP@4mKX#M|-+t>HIuKPOm+NQ$kI7+0%U>-k`T3`?
zB?rwspR5y0LP}=bkn#%~o}s891!>(EoB0zTuD{Iv9RFa6N5=ZRtGLN*N-)7vBe_rG
zhQgffJ5rQT#^;#pPa4F%0dn0GKbm<U?K3sE+>Z$~$-+4jI`>D3$37+di)i+$<%Hv-
zvW<K*>E@*$(|(cw;*<J2RjCW;Am@v%eDjeeOIc%vAAiscUU6u&$$fsqZ5X<zK(C>a
zPv-)pGtZ-twSeFLTAJGQ6!T>ErrCFf)y6S9^7(4e$?}Bj;+IC+>!USD|FBus4iD=j
zC8FM)u@5c(t)uIQ(qK49d}%Ta!s7_{?*hes(>V&!$m;AIPxyBk$8ytO%DV=UW;3`y
zCHxmJn`8hOaJiOu#|avj)$(5`%=&e+E|u*4k;V_JZM{6Fi(d-{eoCmhE3WCx`-JD4
zlWV~)kyWN3x05+E<p6f=gf0bonllF3w9mz}vYYO-o*bQ7aW%Yk3D;F~H{5lkIdHV+
z@Fg(hn2?r1sPF89Gpn5HL1-R+1kK?TVPMmQhEQTdH?cjttesKvsT%IRQm!J@*x%|N
zJ?A0jX983yP-5+k1tq7Qv0Mv*e=CbzOFXx4O7gbN*1VTiTbb9@{<hFikQuxcN6H%`
z(Gj@UN#0`e-%CQcuN$JU@fGY}*#3~5{*${zHKfm)ZQ>|s$F2|eZ!yY%E<d4wL$t-l
zg{-=!(0`Z>HkKr$0_fz*#tfm#;RVPpq0;|S8qKA9C^lrJ=GHe`6{{~X;B-j`(!Q?9
zm^z2|o_Up~je#o^$vlBeRz4}Cl3F^{t<oi$P}VQpjz2*m1Z8s|dLcAVHs%Rxf?J46
zo@5wYk-_-D4~}jx_EZT9d0CAC7lahr5VUbp!XM`7fp)L!>IVKYPF)C8P6t)v3=F*9
z`Mp5cf<6T6Tu$#->23}Sl*`qi9>l@@_KemJvtPK-pojT3RWP=gekKFWcFYzvDo9o+
zgF}7t@1{-vF=Yy8SbbUHF{S<Mr#yx>vMh)!B`@>&xM<nr@(fJ_OzcDlAP`bPg%4kh
zVuNJ-q}YgLCfnt5X5Rc1G#w(V$k#A!ekgRIXwa7VoRamkk1OKRNj<w)%N8Vi(^9UL
z)jb`rM#-uJJ#KKsRbvRxYIr`arideOk1Sww%zRZZ(pvK{#%h)DMRR?fGHmz7x{iZn
zV>^WU3qWSMzVW^+`=HRRS9Q<S`U`)##2xNUTn%Ex*@@hnCImlU(e~LYQMRFBm$g6q
zY_BhLbJi*AIpI}@$gRc%_Or@Aq#4Zr5m<_emzaM~HS_#EJ?HyAMb5jWVs{XIMFdJj
zW5UaoJ7as+PiFfTz&_viq*|f>2)Kpb6cjMRAiDrwdv#?H%<VK+0S5@N6%`edfc9GJ
zyzF!g^9TWm<jTfI7$8xa0m^K>$L>d|Z`s+jLn*w-z#v;uRn>KOeX4G3y!2;#W~oSx
z<@j>**<GM8Dzo6}lhFkOJ@diD2A}*RNxigzifua)j^AwEF5aAXZbukHn3(oD{#KY6
z9s8PcrusfOcN9%h3Mjj2pDK(wd`_cXlet^5-}(!8bsE-dzDx+>rxG>)SV6~ts;wPE
zRCA(ZVaVE@bQTbHei9akSspODnjBLa+#^GyYrdxm1rec7wz^*CeEVClIWTnSwFU^|
z;o;$sk-@Aw8=I(Y&2ZEL0z_5TqrKn@BqS$C*-qx00TA#@6_uIGYfzG`@H@9FF=`^}
zi>HcAN+Qh8$x$~lDm~)09-&AV^~U1n=ALWxWW{<a64pl*+?=Oc_uEy|IGh+-x7su3
zIG2{h;1gu2#pgHg*^^LWPg46J$`<?U?XBQ_w0zwodYsNX!APvg;5w&atI@ng={uL>
zXT}eKq70?_k;<ssX$NxzFX)r5ypKqmAJ3hJf;V*ojy*9Z>!FMjCrgZ?$KXdzgLWu(
zF}38ugHe{&bo_K(*$z2!ay<I?H+X+W(W@}u)OmvUsIY=A_<XU5=tTcjaBJ*m%@=AN
zf$4?nc<*~T+D-7qFKZG(CkkV~U3y5n=uvZMaxzH(sLKLOG0fWotN%8i^pYowc(OoN
z!1as>4Mh-eT8w&KWko|zk0|PW*d2|}I96^V0clU=x92kJd=hXrF7M*yWmUVZl>0V$
zLNOYpg+N^+VnY8_v;b+=_m8-q5``1IXt)WTA!CX~d%Kz4H;?u-PGfaC?>3<J@iy51
z!NhDBi)$2G@>ko>J?=iaVO=64t`9sQRM_bLCK4<iHJhBg`})D*xGw)fTn`sxF&MO7
zEAPDhI8l|5n1NZTAsAm^EqEW0yA?g*G3A9nTlJ1iaY;v&BHjUCAeB%D0@1)Wlst?}
zBjM@B-nzZa)VK6uCoQmrDnIQI`plx+Y3P@~>1mtkCHsmU3n~HqIZpCPA%vwyX7@N%
zGzs35GR}rQ9NA*(mP9iq{N)RoRyi$ZBDdEVvzrUrO<ZguB&y94$egMV6;34@SAk}R
zEQr1P@oWQK`K!DvU!UZiWLF1GoxCh1T(ExiHDZrLDJ@ft$z^YfIhOKyqmy(cNsfHH
zoS`9wFarn2NTvitR$hMp)}+A=QCL_QDG=uV$HmP$!Y3w178Mn3;YEai*8`YCFQ~5%
z_-?uh149KS<<qY=*x;@dHM1FV5|{Pmzhj2HQO{WVpkZR3uCv~x-9(+Ba6A$A-`T8!
z0GJ}zr3K#72GUfSe!_M+q|`q%sL0HO*wv6>VMX}50cQ^&%F4h@Jq<7~O4{CJjy!hg
zcAf?^@bk>?Gy`8iSZQhL1I*mz^VyqI%E;3`p!SV%Rqmo8<V}(ilBz+|49`0mmuC#5
zJuf!v1;zS7mLl{t)nsYmNwjQir14i6@TwGJS*Or!cOs98nR#4-hd1r=u;wBvt%e=4
zB8S*wpj)Pusl_pSUQ^@9-z3D>7F<QOWu+nZoVN4dfA*O!O(p9`3EDXJixfaPW1Y+<
zD|Y(bC`Fq<U1!CZ^LcU6P)J1NBb4IlQ|Di87t64}3k#E;p#lu|r7e@6Zjlxf3yYnH
zF|gVsr=_9K56jwV$h@%48HyIu+A?3QEf-ezlT)dF6<rBVLx|dba&%`&00f0M`(W}U
zifk*ncsxySz(ZJvWg1Pt>e+a<M$wzN2H}!n%dr`X$mgT@1_qA)fv-rDtiwK}k2id9
z(#FfXFd0AiRY0YcqngPNP2`B`myq3r%kiMYoI6|K9x|eci_GafxexZtaztF+*O({u
zyN{~uO)ND7yaM0mLN}J-QboGil-G6L$)i#IyS@4hdCHslw2Gr#Ti?yuFgp!n!YBTy
z*^j2C#Z0WIk+CSGSzCwRr{QzEj!>Vaki4Ii=afp*mBbK$*ZKVsBn`ldmf(v{3X->P
zo>M1<`xz73DI(a~?+!s%0}lWuLjg(oMgX*x14j=npcBK~J+@<15Mb>&yKiZ3UI9UN
ztN^fZLGYZtjE;?!b#>(idr00<mGiPVkg8;5k4=u!o4!b3Wyo!-Y$a1pFZ_4!sFoJc
z;^f}>mMg*VjykzLGC_);**fZ$gWi1$x<O@TX7<@DDo|5b&uZIuK3r`0$3TC~e(|ot
zeOskOzXq+Ss7SBU98o1hEIJ&W7=Fz1i&3)=_fp`ck;76m>8n?-0GXKs_!YSw=lLL#
zfUw>hM;-~HBel3VrF=YP4`4HM+s~9NG<KEeXl6}q>i$UlNp=9W&G#=;vTZa}N*8He
zbR$4ZLQ_?tu=poIC|dgRbI@CM3icBM0QeqadebK&)if92mZX!Apc?$lE(18}ot>Sq
zPuNl@Mn{LR=4Vh9iiFvDbG{D(tMf|DtZ^tX=fZ;OQp<jjYunx5!NS7A_Vsv)_iJnB
zvM*kkZI67ds3=r)xLR;-Gh6KpC*ijv=r-rhSN-;W`n&FO?R{f4szaW2@<P<Ym*J@A
z3Z%G5iP5h$nNe=1Rr9Dz>q=R0bCt(hC|?uypwxPYDQ=H+R!~Fi-QDM=!d_MVR6ILu
z_{^qBXJgK~uHmm#x$3UJI>8mW<3vbS631X86}i*j6k`9F6qA_**6;~YFiUJtD$kqw
zzlW)MA<soWa+$eNDINZa1%6VOz<L1Fb3x-dc+wD5LLUSmWcbn!;an`Qmm*LkKH72@
z3KV0gkSpXt)LbRyNC2QQi;n%o*BV4ms0K5iJ2R1^HE3SLw!c`pKcei(8O&duY_Jcz
zPi>-5b}xq`?X<$E<7q`6P@=PFM6Y!*JD6oZ_njiER@hAeH+;`Knapja9ZqT?@bY)$
z?O{{-_<A&u;qEUMd~Ofw$PXrK>~%{_+8$~hH>X_7n1Dy=9(Qp%IzYU>X@t2<jm0Hz
z!^%Fjw*k>4un~P6U;3oG3X0>sp)rX7l-DYE2Jxr#f~;HthA86vHQebsA<LV6wu!%A
z6T?APe;chjOus(9(^`f=+Lyk6$;uAOb5WA^tU>F0ZyZ*oNPLBSf+H9SW%0Um$NO3`
z#Qmo=1e{7H(SQgx$@E15twQvaHrJeciAs!e>tiG4@G6IK^7wbbDKgAfB?1OTBR*<8
z-HbrEwq@QbZHI%|NkVHKiFn@c-<*@K=S98+WquF7UPS+=P_P6UHBs5sAYpTSwSomy
z$?suz^St07_zWPAm31wpay35KhYdP$5Y-Mu3oz%k(M~X^<ym*znaw}Jg}8?5Ro7=A
z?ZtgsShcs0r{TyD;)BAeY*=<Ib>iV-9pb!`)x&KfE~39inm{ep&z(hLt|1F~c(n}3
z_dDYVgMIN+j|WRHyhk60;Alt=k4l|Qs-4i$ezKeezXModg_?Oa`yLm?hsM0BvpQMt
zBHRy1exhq>-q!oKcUQ~Y-5IUY%YMfGi+*|5JACjCWYii}U4^9|68HAdJ}2qWTu*7A
zVO@q95F1z!CGjQe`UqiaC*?GFstxV(GX0LT^{}-NCYv#s8mPw7vZd(tK#+Tx(O-=Z
zBXw$_c^m(Y5Ke*z%ZzRUfh)g+dazz?R=Z_ZH&2UhcS;*LM5G00%b4noRmnOWzTw)p
zr>ea5JN@LxT<d{nu}j%0UQ9*rmNz)0X0NUK#2y|9bK9Q@ezI~qUdCVXFk=z2(D&9~
zceW{FQ#86FVmsX8?~l-bShqXZ4*sgzSb7b10Tg%735iDi-6t6;wO?`fwsM2}b0eG^
zsdbI4?jGNNYx=DzTTzGqHqZlmmeNZ^lx=u?VfOW7MO9_<!Fp=y=+Zn2#AiQayza0c
zsL!#^ItKvKSos$Y-=Ndh7JQt7S3kAU0zUYlP(7pM36NH~UAHplrZqHl72rfRnBZ8P
zF+7?5F}D9z6=VLHo0)`bC>v&I!2jS#9&!B!xUDPrF9|xo@!{n~2W|1;zt%-}*)+#O
zx@yRJmxt)2qmwrO46C3kAtN=e6Le3ym;(}Zr>z-q1t9m0EaI_t6_{FH5yZNj*?)#!
zxVwcUrC=QOJq0Wz{_qB^x8lYeSDU8rXoD;UmLvVGOFs80uCSj9$1Y#1)~mK*95_7z
z&%}T7Cfj3B138a7uafWEBckPD;5mRDG0CJkU)beTcWQ8ZP_js$%2uo2Tf{n6mlbm;
z>7@DpRAA|PPH6_%eLra_eyWD2j+xj-`G_RNqd?Yv@UC1>%Qs5c8F|TJCh5Ewru(C7
zvY=V2O&9QsENXKsx^s^zUc0JG?;+RAK{fs`nX8ivh~UpA?EPM1;v~sOPtjHGIWZZ9
ztlE2Xa3ct!DR8rlA$!ql^d~jiHx#EGy8t71e^7}&>sHW|er3{+EC;KRBbgH3By0uQ
z&xu(o@6{Q*z!seRg<k@%sLdQGn_KC$Hj02d%G@Kpn^!m+)yRNq@L=FgaQb<)J$9SX
ze4pw><TNHGy3$chFbVg%q0mrc<1-du#8(I9dMPdxD#L1NB22%udr+27M2ZQe89z+&
zwK>G}ai)1t#X3IcyBb(VJ{i~4tgzVPD!FrX{$Cg~U-p%iL+<JtMV;laN&^KB^mdsb
zP~#hU=pJNZDec~n3fYh&27?fMTLW)RAnnk>f|MB?m3JKy#=_}X?ScmJ9g9jai1@y5
zrLg)401US~?)&u){xrG<^W$C%IZO@s5Iv=azlK1X6~{x2>Zv_VYxZ(Deas}~UHJV5
zkWb9g02B7bZh0ZuTZL?8C7VK7Sq{qLRw~Gw;!Sy*96jKU&yO~vv{!P<vzmdZHyHOX
zYH0;M`=M-89jGCELI1SJT@x8P5+#0h8|?pq|EIoC;shw5M$@=k+eYob@mb)@{+~`i
zccy_gQhVjwWac*aZRStM(K02M%|6v8cAKg06;eYxV?W}>a|bYc2lHBjU}I|Vx~C+#
z!PBulqr(a1-5%mM0HX}^YyZ_G3iexZpEc1xw{)LfvGx=Vuii#=(|UN<^u0MTJ3iRQ
zTy8Z!Msb4)@}jNF@8XF|rahl68IA^?2r)bt@6B{9QA*}`^V50e4uBX0D{wvk=*7$b
zvMy*64|+W0GQMlut$*BPzS`{Z^bTmg0KCpA{)8U&B2W*gxw8|;FZxo>zXB@*NL?M3
z`wXQBKEXfQeOIo?nL3{?psbxo5qX)849Ug!`|?GinQErg$9o%rQ>i`k#H>`nWU2+>
zc&a$k+28PIrQ(Oz{SXM?8QD8k%|G`SU@%=J|HSR8^W;Fybsm_?)?7qT+5)^Gm&4KB
zGN+NN`>Mbc!m1F%T4{GJ2YK_7eX%DxPB?NO^mKVWAaQ(a3z0Biwo&)jP&Jb34R<h9
zXpR}Q=B=<8rbCI|n>Ih)G#u#a9ra$(Skum>H|`kQ#Z5lFIb-PSxpPC|Zrk}g?HU=g
zbzEi<n*qAP5?Y0b``&$7RtB~#)ZDnl4E47tecYcjima5&C9BnU2@9)HwW7&v@rwxT
z)QiIminK`7CZjrED~7`taZ%&`$d(rB)~Jd^k7N2YAwt7it40ah+t0o1TwfSjO|=-{
zaR>PY$DSQU2Qq&l_aLBrA4|dol;8QofYSac@{Q8pa$)M{_p+Xkj5mSJe<W7t=3UQC
z5O~<(pu!*gXg*?o>)T1yV!7vQbftA;+b{jIaj;`Y?KH^T?I@h*OfFUvd=S;>PCGbW
z5%In-k##EV+Z!}|_014H871W~1Lr`oS`D^y8PnyUANV;17ah>YwD4{D7DW%MH|Ju7
z^!%?yqD8Tf#+l6vN39)mPV0~iN&8kks9S@Akpc0-m{MZuUy}TBA}y)jjRyGvA;8p(
znHLNQu!7BCQbEpc)DM9oYpl#n6PX>V{HqIpxI4S11YY_f|9x>-oR))0c^+Id%~hoO
z5N8!i*wm18tbr35Vl~i(2>5`>;K;<=2^3H25F*;_vshA^IqsYrZo8a*4FP~MaHn;A
zD=od#Fx6R!W>uP0p<GIIvy@ndW|R92v&cF7XBEzUA;FUpZ~m%$aW00ZZ@I~+*NB2~
zecwHP-7hCoAdY#*^1+7&J<z|Q)5P)J(4sj+G8`SM55J{FFm*y=;x2cP#=S4SJAt7<
z9Bns<f=fof7Kk8OkW^H@opr{ND;_B%Z0=wroa(2~3Dw}O_?%%DUMY*2R|Bi_=IIsU
zNm%TK>M-?4|B^Sd@8+-G2B5x+ZYJ3!Q5?`2Hm$5~OhYl)h(u7bZ=UUempc=EB}T7E
zn2;(t`8i|t-!<HLoY|EfDVN~MkIn#dU+AxPgVQqA?YS<enPIt_60Bgk`^I96XkEif
z{N~Ip{A*44KiQN5Sb=lXl_GUB(f>4h3&8FQ02G6}ve{yCA^pUZc{y**MXB@Bd3W!2
z*ksA$J*Ub-q&>_CksA^fMXo7akbJHo8%-vxo*f}hndO`PC&x_%S6CKk^k}r=ocVv>
z@agzPOc1CC4y4O=I(Zb~n~~@Bm{BU)mCpU_<MV!CRalVOe+#B4q%mX-Hn>@QZ3;`5
zkKtx3VWi;DUjLECbt-7fYwyI;>zT#pomdU4`u@hTSJ?W~nDn5abs794_61Zs{{<$W
zvX%rlV60Otw38%6z5ZmW<iv7+6TQb5q`!6p9aetvCBtk;b80b9@8wtWb17NF=BfEv
z(Pc^wqvOd|U5tzeTThIj#~a944-vC%I1_Vm`<VZYl({Wd8-&rr`v7*lyBm^DpHGVo
zp8X^1Bq!DN34g?&+&+`jl3)+(8;-Y-|8ydcem&Ohqp-TWlXqF1ozHV`_v#mqz<P}8
z7UG=AD;DsS`qQh*)8$WBXQj%R0Kt5>IPof3D5tGs5{lefDvG^VRew?S-cO<i{$D`j
zS`Huz-J}}o*5s63@9CC-JsS<IMa7Bh{fF+5H)rU=NTY<CUphyY$N*+z)y|FKy`y4S
zL!Pi-xIc7$5{moWn`tTIo)qumtG$4~eoLadhqKtp{Kf*Mw>UGt)s}`NTjyM~*|4)7
zZx^gwhTwiC$>Kzm1Rd&DiyEb%4K8s{ji*2Q9mx$$kVDIi$0viqwO0X9E9_2m6Y-eE
zSa`9;+dQIg@iLlzRe0ZxA0q<}7YDu{AA8CMd2wgN_!uoanOVN?F&XKLN=eXbJR}`L
z_r=}pNg6g+b!5(|u1cv-PmkV~2t=U?y-VGkBM^QqSh+i^mz%dJIe$$~BEmsZ^^IhF
zqyD+UsOczh)26<H1p=3O@wNbeoY58@+)<49?$kine1QU^<M#Eg@!+Uqben5pY^l7d
z@Q8_#<#yshOvS0Gh(RqD+5ivqn|QQNgm*b1sV@Q3iVm{U@rA+sZ;mJbX$I9L<@0ZU
zFShpgY$7d##mgU?(iDjyk{h`$K9s)lvxSH{oOhJA(Yj9ia}+YI0si>uiwC&k-PkI|
zzY_xKsUT`bG<}S!L6LClou*LdIPk0DD1Oc=#l0)__plp<&ijMs@%5p^XTjK%Pp67c
z>xh628XmR!gY=b|mNJ3E#{}QPIXBG|eBZ*M9%-W_;RN@ehB6!Zv>s$UwB<=3`;{%_
zs+m!Z2$Ry#GVNE?YwmUg%<zkPXwEsqxMTGxpw&9PHgEbVbS#$G6=tO=;%i#JH6Qvd
zv_6n*N${e%BVTlEb4Oqix{q)uJam@O(alGxGHf-QS`<?V7^T)Oq3foJMor`iH+a5~
zj7rP=%{cbrF*w|iUeAA-S{KrO*rrOd=lqgg#VD<`h5zo>54BOq|NKprF82L$jc;)^
z|2)q!mnx*a%p@Kqewl=pduYfKCF&Sg%yPDi$m_Yod9cAeil?{IhwI|GYD)`a@YV*U
zAJU2+&NYsNF!>$yPaEIe?Q4r3593IPJ#<hsdoCB;c=;y5zy9)LoOO}>_t&PqZTk!U
zF>>wEtu1|o`|7x%g^I5%#DEW}eH*NyS;T)=SMzUpUq|n`Yx3z8$`BdOTZy$%Seh|f
zZ24%W-333;&7pQ*&U;HK09I)GxX~-%i*q$NJ@|za|D1dcj!>OBokh<;W*Il6zs(h&
zylu(f;B?c9fVy!~=BBO2ZnZ((F<q37_c;}?)a^(J5CFqtYU*5*EK5kJzaT_XU8NG0
zeWRj%k^u~pyStc%>(^!x<F(5yQntmPo7Z2<n`K-FKXh+V4t}Es<^*Kv6jeG+zqb-L
z)&!uuuDk+-Apc-qg6Ynu$Dd7y7R`KiBdw1out%$Z26*F>2Z>>TkxINos$+F={uU&E
z8W(`M_C0>nX!4i{7CLAfN6n>W@9ut}NfMBH6^68Xh89b27sbP?u{LAGtgR8jog~eF
zvj3UoIURj(@v~|P4qB%=`bh>g%a?@)OL6t|-}o(FG<*D6eZF^L1eMm=IB0jEVJ-fH
zsO^=vTH7d>({UlQ?K0Z0rnEbQkF1gh2T^DSo|}qV?s6*ERtvq)82n4VBsE@&MZiN2
zWsHD_I9U*_&Lt>D+#i}AKm{16t)TFk8t5|ICBW^nf#S>Bgwinkj;m~8y|JyQPCXk*
zwmw2>nA!n7_N;48K0<J(k7x<1THa2Q&C8Gke@da8XkH{C$F=0LR2obHMuf!nRfj_>
zS5J+OF+5-?2_{6Z%?&^1RN<&yyq15gZA1T{R3@mzUb2OF?@M-ZU@1R@tl6Z9@5TI0
zxw@k-=^j>Us&M~Dfl^>~1w$SoE1yiT&3{&yiiuhmE@kc6Y-}Z(4y|}&&dVwU?bES-
zdw$L??!RZCnKteey^s-=b$KS=Hr{gbr_bH&*DrWi;I15vuT7rk!$J_-=v#GxK+wX`
zBJnu78k*SO2B!b#Rk_-#k$^y)AO2!ch&8TmWIVfD4*ixk$AZNQ3->~POOG^2`Vh`h
za?5}DO{79mghJL^5YJVplsXKsOF}fH7Ngp2Kf#6?M8Wk(-3lcoZbjn^sQED~=)TA^
zte~FXko7|pPQa3q%GFh~3A<-9N=jGPrMJ~X%0c2E*UjMpb@N>lK(!p2r`#i2+~Q#F
zN)-s<rVrCm9+pbd%Th>2*{*3(Lt_8=A<+esCh$3qo^6Dlbf0x>P@Fb!hcJ`t7?CmU
z#&S3E6<gp`URd~2D=@u8?I!V5qh0gKWslvoDV&X~O;Luz=#ZoM3d^#4<*CAPki1cv
z(?q^3-r{n3yW@uWG4TZs9iOA4a4z22yupS5ZekWz`^;)-A$j+5sX+hp8wR?W%mFPl
zzwyspfL?TO8~#{O8+uloCMVMayI=3&zTJOQDX+XbU*IGJel{m6a#6*SJ6CZre_@)F
z{uf$+_Mj9>=9ONH{ol)HdEdEQn`8N1p1f&E%7djohjt~7qGp@er>mRWQDJn%6>F78
zuBPs^4vl&=4i!i2eE{G9|EKthlrx|uQ`_Nb;4<V-zkZyj>!5*U>je__H5e)iXTP)%
zp&FbVPxwiG^_RreQ#s&sth_q#Up+W_0)*xtYYJ=u-XghHcs4cq&5c$Z@8$P@R)bEz
z=z8`7jNTY~>ASrJHg-N!B`&KrzE_WR@|?ewnXp^MP&K!(XZd4feS#+BF}EfUIu@OF
zb2)yCLVwMko&|fmPgyQd3DH6_+C+C2B!c~UCpb1ydh3WmUH1u3LR1NwnH*?|b2lPP
ziHvEWN{WnOH%W@EJd2HCvdno_tpUlTJySLZOUCBS&Z3swPHe1gjyP}Z*aZ%rKvX|J
z^?P|cJQ8<J?u^L7jH`3$PJRn(LNg0aXT9j$!eY)?ep+n8(m3<s9?*(2!T#Hql2d`)
zGL|E53Q@f;$E`7eQE9iF=~nMtro>T;E3_X&wUpQMp7aw?@x|23>Fp`$(Pk>AZhr(J
zUEe%93$<<?jnp>&eGZ~&7sEOCj`>0l8k7nQu<dX8Y_hFpi=l`P2zD#ABV98~WN`P*
zh^qW-mH_LmT2baPQMMdE{aoI1&)EetB_(>5YKvpX%Gw!I)ZhMo`Lhns#MX@n>-{5h
zoNnA!**K3NJIqH$fi)mVb<iC%y0tQm+Ep2_P6-=IwwToX*QKS|=$s;<qCZ3L`aZzn
z(Tqym|Hi*V$bXyT7{#L}L7DLbS#XNiPjZ_7$Z+LjJls0Z2pf?DBd>F)Zy5vvg8^v|
z(%%$>zaD5pBu+yg^ju+~94{JV)L4-lb0JzAU$jl_mLbhGzS!5HAG%ig;*^P5*?fZ;
zAS*j%&nT9^Ol%}ix_(jjtAeMq!lHdze5~H$nHT%n(Z<W4*{|L+{GBd#z|Go?4yz@f
zp8{1F)^Y3k*J#J6i+waVFb`>au%(aslR~A-1~tsSS#2QlIt4n^a?iE36m<O8S~a!l
z^yt%$g=2`>C91u{;lm~ugGbPl6ymD1$tk&kLAFkxFV>a&m-RX+*bqR8<hHUiiA|X(
z*d1|%Bz#u7X=i3<4=*ic=g1doAJX4>s*86MfmWJQ@lB3FthQHrOecT$nS-Y0eV8LX
z%j#FXJTT|<hca_|ogs5|gP|FR&36s7QDR8(MyFS}bUkVDXZ%!D`pR=Q;#y$2NHe?=
zc|{<7+a2qOw<b^WE8c<5!$QG~+?GmxPgaRSRr-R?ZCvdh1^0WD4eNPT&!Hzez;JMF
zt@1<OWJ3UpxtzB$|IdEkd^|9VP*v(o&A-!{62bpB?K9C1f&MT3Le#T(yKJiQeEL3(
z^RcMP5_dJn#F3~8HCz#PT=k|8C9E&cbM`1dIy#(wY!n6_i-@KEpzdvxP@H7Y1e5=1
z(DgYxGJ5Bindee1pTU&8Vk**~O;!A3arA$S)gAf!G>g7hN|@0rC@7dhp>$%#=pC@d
zHo|`GZUA2*GQjox-@qZEr)Wvi;kh})D_h%PP8>#HXDC4Zm(@BA#6NaRm#M9elm2J>
zaS1TcTt13U!cLyUQ_*x$_rrfFOZ)e|Aumc@rDgYhhr*9D3~ehplFLFOR2l0MTl}Hu
zk2F@Y%;==!s&ct6Gc}l*qJtnt`4MdLGLCVYb$Xv{u?q3{wIt{!SSvoiqUp7Z5@2}&
zzt8@#K?YiAX`C&sl}N{gTQDFM{_eC4qdV~@8D&?>0inrXD&lV%diBwwlpfo!Qpq(b
zqtd@r=3;n?N@%~2aK+*|hnw!zLy81*q-=QISrGSpHqugYd(Y6cZs7kFNrcIMlwd(w
z!Wk4Rr&MSh6x;mp!yD*HgetMSy&CV7Q{PJG3(wz?sa>cSDHaaCDJ0f0m>B>*6_|mv
z%l4zQ_!44`LTDdR96uOqsuBrZ_eQ4X73|vZl>u(>Z6es|c9kz$I;(RWf!W2QR>nlo
z8um<kFg@IEK@!mj^Ch@{0ujOq$d2Ig#|Kdxsgy`hz%}=uVoLz}&=@ZZG9wj<eXfLI
z#%VeiOl|xqnrzyO4>+Lim?N81Xf`eN8s{=v7r%(KFvu-?1U2vbM<5F3$~Iu|MvsZ3
zdJghKP_w?^;rqdHXN79uJ0{M&X*k0G?S>8MXjN8`>YUSyWYlyXQn`ou#w>4symd=|
z?u(dp-?B2<fL^w-JS9;;!(;Pdo@Z@Qw#2?2r06#Zj<K`ay!#VOaVSQ9y(plkkgVWD
z<7tFrVr_yl@{4>v>Mc`t`5bx=p2YW&Y$q}q<Y`DRf$5wF?8GQhjaY@3mdYW2oy8a5
zhd}+;E9<OQYSag$Zwp8Ht!`uW5LnhZJ@3_>gEa78?v{rs)0!JQmIg8?ApP55v3S3=
zRFOg|)-uLn4*Xrc4T~jNFFBeU*^991r(dia(pJmSBD>5O05g|a@bB2{B;v(PXV?!Q
zK5Smye+P|l^vUOYd>{(Zz~sNK2KJ?;dSY70V1a80TjXTwpKDIIX>By6AoEyo4{)jr
zWwf=l!i3$o+IxGEyu7@UC4$9&4h}jC=QlQzjf$OO{5d!<b99UYW3=f61!pr=<>ZhU
zRMJrt6%~QQ2Z6KY3{UG^<Ah4c1wxzf^0*(=`VZW3WS;Qip1)b43Hj_}^8}l>5D`1&
zCB08FE;f3C#xWOuQ8;$xu^ERtDy5bL>3Wxvw8S&>xMLb{uIrY0MkHR1SGoe%i_EXX
z8nKd<fI_9eClyOi6&FWLp=!|`nyULOfQw3%Eg(wvZQuEGL6_$RBwhC{s{z_!Wkq&d
zo^U6o#uCt(49`+o9Pz>$+Fof{v2OEx<eHI<lV^BqG(_TL<jX4{h9P33CFrsFNV4IH
z?{qj|>r|7ihDzrUidB=vt-$@Ip-_~Fs?=v+2o<56F7L4S_tE9~<2RS-ohTuT7yTer
zrf3fwbK8SHVz?*N+iJ7^$!~}}3%7<+LfyAVXc!ofz*Od*ESbn-04rH`8v^6L<Jk>r
zO#uQy$mf{aX|X;8j0V?zY}POB1%{X`H6|Q#@_$8Z7zqdXsGjsSx~#(gsH!@Tr+n_m
zcPs2B^fZBA;!mV3ZLfR$U(pAl^qGw&>^cDbz5UP5{(;E7P(wolRyYp0{Ot{3Ly}rr
z1T!VCLnR)r5Col2c-avo!5G%o#|Qraz+WH{c6-*@1rQ7I612eF)c5`=0_4w93prp5
z^_90h!~kSLER_W1QS&KQ>(v@M6G6nUUjMTlIC**bdl{wQzG|U{9P+ldMIE7Ct7F|6
zO7g42ZnD_e&zyI_SW<SG-C+el`f3Ms6E?Q+@IS)&IX&WN>uYPK*4B|h_cyx>a`BXy
zm3p!3ees{5pxO^maM9yA`-jwjFE1mTnnb}Y^Rqro;3NqR4Q*BR@Zf_%KMog#L)QWL
zsAFIN71|ryF`gsuY<u)GiPg;B{(CT(r49$tnz~PgJi|eyw4!A{8AGAuNzgye?DX;g
z{abTj(dnR3YJh+F5Us6*U8G0nqqZvjTL%0xljPZ89OrpXO(Y(R{#Y#?Rn#C8XW^qd
zhfTX0it(CToQ-$TEamlklh!%ploSG0<rq_A;&tioonz#_V!f3^_pzv$cv)gR&GM!E
zgc?wcO>T+QK&)D|jF)V9VlPR${Pp8>jx$A<<f4i@WWG<MP!6q6g9Rrd*t>rJ_dzF$
z-dwEF4Xb-b2gksm=ANIL%DWXwIUGq@>YcC_F!8*_Nz-C^F<WLtKFzbau_4Lusbgeh
zB=dJihm-^ZBV%8CN^xN8g)qd$&8>63#{LA5g;u~k`jE6V@(66I_hDgSatB6@9?W2u
zJc|bdtQSN~unKZ2p-^}LlH@*rfcs~7Rijw`8us_2LTqC&I6kjVt=B#+2B5Dbf`HlJ
z-2D97u+pKky=in+v6ClY<#5}KQQraf2MM1Ij`;P)C%Hagfa&V(?OlPL42C84*T(?s
z6dMx-v=V^b!+ey=wW790w!0n&gr}la@P88<`@jK{MqPl9zkk>GIIgd+FA`Lng%C`;
zUfFqBFyigu5hk4_>FQc3<?rNF78IM4le1FRHs3}r$^pS3;ey!O+Sd6uR(Oj=ay-ZC
z`g!q4oq+WF!Ur}8vCbJ=nnQQ3hz9q+uXcCVraV^2pM1MV@ZZ}jj(Qv|J^kI}?fk>U
z!s1!XyLYa@PzC%d2#|||1!QoHh(fvP5)>1ou(GlOQ^7fbeF96;yTBNPKw3Jw^S=AG
z$6JYw&COkz7~t=#sH~JSH8st-NEZ(zQ&CZ=^DKj?71v|zkI+<9`#t%r6E9h+ovGxC
znKX^;((*@D>-(N`D91;h4xdI@O!eOIsO!||usm}Mxx~V(t-PP(TG8S67Fy)$?~x!I
zvQ1jFCGRq66=n;gfAEt@pO;v&tIH%J&?t_gd<o(3?9^8YzbeY6QEbN%z=x(N{vuJw
z3umj8PU2T5ZIx>RMVp`ZxXC*Q?~Go3IXl=>>CCc-rs~~e9J2H)oK1HvEfmqrB?_<U
z#@03t1N~Emm$cc<gua#P_k~T!Or@x=#Um=h*>q_gazN)xo^|0VXd=LI2XZ<MdNi)u
zrdHu4d`(bqEPcFu^{-!<WRgF3?NR>hqc&xXFey<x<<jz74>u!Ct%6DH#kr)~MDJ`S
zXN)hW?n))!*%rdX!*e+;3bE-`Ku%6hg#6B!h&T*kZo!UUuXRfwfa&G<@=`t^Kn$43
zXNXR>NBaQxq$2n+C|$%8?R0Bc2HZL%tf`(D5Wn8Fw@ZqhjmZePZ(#t3S-9Ym4+3lt
z17s#R2rvXO3pmb)Raf&pV`PM$to6**Ia6i$Zlx@U$Ip?+uPn2MR`5cRIEc#S8)(r5
zcvOAnI3#lwF(Mki$<<FH`OJx<R@NKvmQqGe23_5(8>toX`<QjY)-p(VT7!ehA*K(k
z_{t8b$Tq8M{cZOb<gjm|o+AhR!O)wtUA-2+ng?GH<<N;aGJpKgSiTrw{I+xZbJGpD
z_0|VD+omKq6JAz$?(4v~Mqu=O7%-Aj23?uK>?k+lXyNdj&ByR%CT&<?^92vI>1f7t
z5<tg!`b{zAFWLw}*~H_)?*ZcXUkh@+_ejq5zcsa|gfIPVZc}affpsLS#Ex8H@bN7f
zp|==g<RqmU^VD2g04i*v!{KhMrtWSv6UZTaU%eWVbTt#s?nPWj&?N5)d8v3X?xv=%
zk7i(CaOWz5V{VV$ae9H*6?<gF9?`yF#UnC+B+26X=H;^pKz!17$JYktl+wkpk3Zue
zT7?Ye#Fk{M6omR_?-O`v-%H1_>!9zKBo&4^ZrZu8>gBn-cZ2;9enrSrq7k#olb);7
zr#agOrxFDYhe?(woG`;V1|2*{w^f}=Sq>X`+*jdx9WxABH@JPDn8KVT8skJVTnr49
z;^=Rp3oAEHqUK^1=E?(7>99Ec@oa?=>$fLO;Kpbq+`hh^jR|;Oc$&9Gc!AGaR4FSI
ztw$XFR!`I1sF0tKIow{MMtz@61FzDSkpJ^e0mBWhqrMv(u5?!Kj}fUF^(=NUYB>z4
zs2ZJC+6s~#_eVaW7LfkCGoBFY=WTt^aO^%QtUQ<2$7TcGJEFLrVnh?@tSU0*0bSR;
zV*qA%i9Nl;<P1TaPSNI^{{tOh-c|2mTCq3EcnX46fe^Gy6KxOYV{aBLB9qc<MU1wQ
zt`%!u`1fDo%^bPmzlz3%xzDPqXR$~p++ma@I`*B%blseAOr&)-M5izt5$47Hz(H-(
z-srANG^A^O0<<S-T8B@?yMukPV+OBK<3hv6YNAjb6O$*j)f=fbpfbC~Q9+4^5g#qp
zq}=3MusvzU^|L_PyeOKJ+>R~p6}6{SXV%0O&$En%h}JAh6wb<ynjz^8SrpHJl14ta
z129G2fOU-r`J~o%<D6gmi(DYHx`{y8a4yG7>F84?!1~~dBT-EHHXegw9VsICBW}V+
zy=~oAIe&~qzzC<PhIVTjkC<=QR838V+S93Ip6Rd86nWW5Yg?;m)UVOl&Jx{xG>T%c
z2BfL$k5q|u$z8IyvOu=S<*V1Lr6L}@kSXI1CE$57ANLj*K!m*hhNn%V)EmTy>3o+8
zXCe00MrA6!dP@J-N0WSHb&;E@Y$<%XEtrB+T$E_E^{(k(`Rxg;Yhir?hjJ5{vHY;V
z^`kSGEy4!g1o8i|bdKS1eP0`%*tXT!w$-Mw8?&)(+ilda6Wg}aplQ<Bwj29B`TgGy
z!8MsH=gdAEYp?yR`%zcku)RdhVqSv)T{J28E`LQ_sR-|#Sb;OhrWG^e#2~ChoE?>4
zsfd?$U(8jeW8ro(LoGf{%+?K#Npry<K8UW;uSkTVOa*e08QBg%nyR|_aWg7m&t&jg
zLji500UoIKhCo!HSB(jfwyssQ`TOZFl;7zPxO^90JHxAg@GGjG?Veb^#!m?^7?_lZ
zM2)6ia%rfDY1}W3U-7zLU0Do#c?c8EmQ4ODm=gc$E#l0HI0*zdKpuw>s}SYj;QcIo
zT*~?*d@W3QYAL1!`|Y9}uek2`Z$40)cNps41pZ&Y50C<I`R!gxo{KlZ#iypqme_R3
zhT=MlPFbz3BpQVJYZ!3#m^8ZDSISAPrI9V}rd}mxQYJJoQ(EE!2ZKPd*q<zyXl}#A
zn#}OOX5aYZ@rN;UEzCsaSfvlTVu4!jy`nrf@nn#;Wv+D9nc}KVtCk~GJv<cPp!6>g
zIRynV^}Ed^VQVRVHI#Klq(+(ykhBEORaS>egeked%!G{!q_P*Q0k-mady|;+WB?XJ
z4pJ)m>P$#BIhBvp%f4VD?r#GI9=RI|#{SdYQMPu=5yiNt7vk%yZE=;ZMx&#xt|64^
zKNl;YB5m|S;L<Kp?*ZjG`-X8%;Ee&7W}+Xi)M3+dQyeJh+gKPulO!P>>N5y1QmO7{
zAKUi3U!Dk5|IiVV(9aHIqjeezMBGHC5r8@v5Hi)=w7)2;GqRtKuov+Z_V)o^-4KU3
zRv)V;Q+{8bse@R{{SWMT5vx)=H@_|tooQ0wPri8lnx&>oEZ&e?BrQlK4h)xj1M02W
zE@fH4H9wKRhd^Bn&Ec!PXzw@*5IZenv0vxBULf3vE&Z?oj@SBouavnZ>`2Q<EINPI
z;-0<Ye@83RV?NQ!!z4|hCQHUQxvo7<z(9SOEU$;N{apd<YktmJs}#^l%N^pJj0gv9
zOOIR}XVLQI#HqJX>lI>z(|-np$>t2kUGyM24Rrp-<UUhP^w!c6Uk$lJ$8&>EdqtGD
z_oXZ9h?IJg4WA-?HO%}!m^w2i@mG{&eVXa8^-3O)n)txbAa|Spj}D`?R0`!EqO{U!
z4E0#i*3--7z1fqBU;C&ITe5I7o~Z%b-VN1!w41`0`5)YH_@?#@lmS>b-iiFhCC{qk
z{1uUGMBBt>qQIqq9y7$_Vb8#@Ctpy^#!!uuauz(wFCErX;;(K%69##U%5%TFfS4tm
z8m?s#fN*nT%ky-W%3Wfm2F$50m!>%p(JnrgKYM$FrHGk6LW6z{sK&bE2bS0yUo^V+
zZ`gw)k4RzTG($|JDOgf+hcEj=TJ(}kOvd;<INN!sH)_*{jBkIkLA_@*8i>PM3xCOv
zNuNUqQ>1+Q!s+9bfdF8)&FQ!pZ2!a$-kxZK#4JjwhXhau$e+-!8{GQ>t0XauMUky5
z3B&&B6{O`3jbyU_s_e4X>F4(#5hW1{vlvF{3sLdA0Q`CW%aFkPKiT4?`oFS~dixW1
z`J4d<9Mj;9yzBNX4h`zpk);T{3E$|nKNJ1YJ7EhcFJyJ)98=PBC{XPRJre6mH9`lh
zLfcmeLwrJ^Rdu9AJee+d7dLC$C7NXy0|)T`g(Uc>cEWL^|Eyy(xhH3eT=@XW9o8=?
z>ypfN=-7|i-$J+xA#4!Roh9nA(~e<43r;W4fmk3Ao(rw~-9d!-s^7-f-EeTW5PQLs
zaET^kl4fd5h*#;o;P!`;%256qCOQ?Q16Rb^P*_R1<m4nwQw?hgIO&3q%4$|vkvx0f
zm@Arhh}0Cr<om@eMN2RR2HMk_5}3K6^oOK9g&1a`G~5U2t1tz5bB7uZU)ajO!=avi
z7ME#IR{L0m^W!zBGS2G-|4*8I{$F?H=9l`E7h`5~D$1pFKr53P4ZddGsXVCw>YjO&
z3*GV6=#`zAI8q>Wmk<OxA-5}^h6*r@azbjcV=B%#-+Jaa)7cmy{bX)rw$^rFBicXD
z1$wj26mf#Bm70L#{-X^&mOsOA`|byCsHa=eKCAsx>uX3s?kw<UTj3VZGWl})ao5rE
z#EkL-uN~VZbLbBWd|9x*FVe^~3a243N(p_vetONrn+>q*0W~DsUr~GV&nJfJeGGXU
z`AGnFyc05?3n$ViYPWWkkoG5&Ivf1Q<#wuHLwKEbFKp{JG^6S`A6dJD7y3L0aE2uN
z9pd-VORx!v`8^@}Wnjtq#z_e1*!}}*C;`IpzZ2%Y&DFdWr%dm}rgu9mJ;}jVYS}B+
z&DjAI&*vGNbb>o3k*<4T#Z~!mT%FLRo1tlutIMmv#`}&x5uOwK2-l5B+>IkyJVO~8
zf<I>=|FA>>b)>-VY;#yc5U>Sedka8IUrI)WS_jU_lRhF5m=fUKI<rcgCbepplyek8
zBfC7{HL`gcFyk#b3rxd+5)*%fu-1IB$Q>e{?(jCvix3SyC1L+*!$*1YwCN>^Vy~XM
z<!J!>+U840i&Qt6Z&SLFj+r+AQ&^t&SQ^D67b1RW1w<^7bkq`n1k#oFw}E0<YupsB
z<_o%M6pnKRe-d8B(B8Ly)>(=z(IT5U@S4k1!tIkk4GXc@t1%wAj|`mhuN^DFpG{{;
zG5Eb3fN}^XUCCWSlbIUyrpU-`t0=E8V^fKD_i8+9yB>6LC@?mQI1=im)UH<J)kNl;
z<r8swj3%}r9r8dG<GcMaMtxq5_vIhA2sQMP<)v-H#KPo;xH|`!ckOO`sd{P6>tCz!
z#Va_8*Jo_M*GJ@Y>XYHaKB5E4`hm`z-g}p8J-ze?#8={HNP~-9NHUwP<?k-@^+zFg
zpg>+yVsoI{G%LP8-VN^k_)@YMjjfTM1QMvOwBm`znbr0=<Ll}yVf=SuYZdZk%@}`k
zD<+3WpS|A?{c8(auta5F<ESq&>&L;O<KaYozv+Qg7oCiiEKD<tbty|FiwbXNME@l}
zNQ>#PFIhlwI`H7z-%N(K5Iip$eH;&RJ=HQ@<^jctVvJLM9X1&)S>NzT1n@}cJ1U6T
ze!GES7oPgY%HVtj1&!nP9o21;KeGNAO6s_}XQYA{L}dBdvFz#E>&VCN1_44wyBdlV
z5eBQ4C;iY0?w_yP`lDvy#GflTN37_Qr&^Ne`T++p3N|`7i|BiIsdv@tw|M{-GUjfo
zkqPuKNH%jSZchwceg1>ij77E7495OBs(A+FHVU14RmH{1@O}<B8iHsi+&6uv+3cKb
z_#t|$8!L;jn6>zTMUgoo{{-HivFxL?ZA&_IiXA_HLJw)HqXCKvTw<N{fc8~_b^g(1
zql}+`vq9b&vHo&=C2n@8W&R{)8(d={bSf@~@9i4X{f(=bxC(!cuOE=~F+Ms#M?N}6
z;oWCR{Bc;t+^QN@z9`M-OhXcoqbTF<^kb7aR4gcwfba`vl3R9^x33wA*qn~P?F)dp
zqs;Tqi7cV`rPrL$NCpm=Vki{|jOBjRK88^R);WLZ3P8JQGnJ&nUDiaR5feX3Hl)p%
z(8^+9j^i7wU+X<Q#@9fNaV~sAHRJWr=MOmc?Pxpe#~MPV$ixdDmU}UaDh^Xn&=Mi=
zyBX&ilNzLxVn@Elv*2&+ga=KWX|sD`N8@PlskxFYbNn&Z-QzFuj1G4fw@hSQGh~Ot
z-BTszbA}jOUq?=9ow(F_S~jkDIb{R&P%S{*AtMY0ilJS*9)=s7311u(z^l_Ix1{R_
zzKo<@{<$>6*1B4;Af7n=mYN*amxT#PfHRkp+ev{rZ3!8!TE90aYYYS`)s96l@K4{u
zitLJy$KN{$*;MSh|M{lAqm@PlX2W{Z7mRt~Pm{Ohj@TNZmD%Wef)%Tr+gR0DuGu%*
z{v^!$b!Yo!{r2$f?07#qipnRyJAqMRB^!P3Fm@0tUs;n`cJxN*M8E|hQz=K5yV0g^
z(-GSC`4vR!V@gOPECih?@;ncihBg96^Hek8&+)k~wjXwAZSy7k%?XVcs<fGr&r{0Z
zwVwZ|mP1WTC&@M9i}WZOT2(3JGnEw@=yw}L*D#HFK9^#v`M{a@2C@bdd;hF&eK%R*
z0>J;tshjtWOwTFbLcjCc<Hu?&s(=x<a2=fuc%D8uZ(^%2e3HL5MSD<jsR_G_Mfj40
z?!jFya5y&#Sd>?<{fNsUT}{%}j)rk~3F^qBk!Tu_Rrbq_00gB6;2`*0mvBEkMu7SP
zoKYtyYf|tt6S2#x)$+1vkOh@B<=Z#n@zjRjrAvmy8mj|o#n6L;_m5#}n=k1VyD7{e
zB^&zhSM5MNhYNmUC7A}W)F$=dFHw$dD8IzQD<zqhUJ%%{BpzvDMdQT`E~G!RL_2@J
zOq`#V5@kr951$J>qAgrH3VW`q*rX6ejmT3i>^m?1vvoIZ0Rhr4z-_5ka)>>f#p?8S
z?eC-rN+%_RPSJ^r{f0?A@~h|EVq&91V16LggZL4qefvf0Jg8MZdNo3==H!?}0nKFN
zB5I7!cZ*|yf!R!zT}B4RXa+q1`kv3k(a=FE>~7$n1?|s`uly55YduBZ_nod+X21T(
z>~AFkuta=b7m%>=h@tJ>NF1uwnM(!jnE!Kn7)4h*S4J4(xu-ZWn<luEg*I(T!}E4O
zMZC%|WN>aoJfxOhNb@2%X3Y}U^r8o7f>-Ct%)Vc_zQ&$IrRaosXgc(-EyO76vK6)3
zm_*1q<jO7lSs5b6ihwiL4rTTBx(zg^B><i}P(I@vJ?gk60n0<mA5pIrN>2zxPNsl|
zNSVUv1Xn*Q4v4SKZ4k}Juy;h?;^J}Vj_}>{;WxxOcxwg6EG^Y|b}C=n?V1kMGrvY!
z9~^?QdkR4&=mYI~8dNL^n<rP;7nb=D*_s-@&YC5y;+7J{?69t_tGh9lu-DW7n{?5O
z+H<RMU3nqet)HPBXQ74@gUFo*64bV!ZPHhOj*NDS;6UpmPclO^4GSj;m@qMRLp#xH
zUH$>rw|whY<8l<h<^Li5Yl2Q{eX2K6ZctgpBiK1M_#D_poTAQ-xS*nc!8(NHl4^sf
ztf@?105eeirAS6^*Q8b#HHj#TeSg8dL@s5ZiV!$AWXK~%Ns$9`>H`xgnj>wJ(hVb}
zt5lmE&2om5!~Fzzw`hGJ2VTBKx4B|Vx@t}G8yV6j!<NuD#au~^PQ!)K2|#>p4UClq
zj~x6bz~G_wtR`_qf)$5gE9wqcDQH|ixUzQtaxS4gLxhyw&gC3&R*83G$1;W<>xrCl
z1*xh^pW^#rl>*>ZTK*%9&z*xL(<4j9AFQ}f-3*p1hCj_$`=BhSE=ANxBz<Bwb%=xS
zksql~oD^J12AqaE+X5TLTA&zTp}MC7%T%5aVu*xjZaYa($)n{vx4Vp}P`5LUzZZb*
zeGG8ha<zWZR+DcSC9F9Mo?QpG-FlS+%oo7JrbW{HqmM@k@}35i<Vz<TzYxf;Q*Uy0
z2yu%LeD!<O`orq4-liR-h4dsujSxM-74Tnv^=csj#A%sOu~OCTxIfLt>#bw9!#3s-
za-vN|6FCV9P&Bb<;@w>aj?Q%<Qh6>F<>e_YzT9MRnA0^6MjUcu$EsY8?_N%QtDDLY
zJpmSL;u>DuUt8y+rUCw&&_yCyv7|HI4I*lx0mRSGQ*73OtTb>>R0D$;l7Myn_&n0N
zO@5M=O3?TD>h132s|AnU=%`8_VRxSFi`h}QjlBh!AN;(v8<p!SdYUNkFLykj02e3C
z>L>_M3G)Yd6z9Q#S_=5n)94<9i35_2V2iJ4(q4tcrCQFltgn<!WCCbm!NryvD<s4Z
ztfcv*krIF(QdUf-rM1f$129wo+9!kL8Iar$rxToi>He+`7<xmo(=6b1k`PaR(WG_l
zQqc_GCit@8$bvvyZ$C4>%<f*2_jot3%qk!LLp@jl?%T!MozL|jj5PAND36k({3i6*
zzBv5Nm`fFIdO};Eaj?@gHuZFP+(|z5cHJY1aRWn7P~9?3P<>9L@SgFCv4FTebYHdu
z2B7wE;{i#XckV49Y)98c%8rtYtEmijEGcP!mMax}1o*eDQYiJ3gYNr=VHh5-5S40>
zG7|h>Dm=#7*HW~eq#bOmf~-_J*(qn>L|ASQK5&M7{17ZxDX!_y9$%#2zdrokk-k`2
zRFk@bPb%#b`zV<5k$vq!7EImm(>AnwmB((SOpeXKZSZW*h?;BT-5igag0QS@XMf6;
zsZKNW3%~~Ys*`)e2;|o*6lbhh=wRcfQt{JcwR_M~h=`DYem3CxgQMVO<J)wTUhI1W
zyT=kbiQ|A9#dt|4p{91)R5Mhn@OWiU&9}M&eh8|^UZo~)#y~mraP|;PcjD%^sY19p
z)z*-et9`17DLwaBx7u0w{s8cZmw^7oQ9vcA4r>W9%#zLSXUUf5?bAD5%Q${Ko7eu$
zFtoo^tM+yLi&+}}T%Jt=YD#4Yj=#155zDHb6L&j&Lf0K!^vnPxW`jqB+`49d{;?T-
z|H3EZNWwF;Tm!|LhKj{jbsGRU5gqD6u+VnQG+|ird8+4~zR5lJCmB@(I0mY?-?g%R
z{7N?0^@;~T{(wC;HzY990RAG%K>Oh8FexXcx2ZC#Qp@tP1VfTo`D~tCX<uOn<cWep
ze|V@_ax$XLRHJ!>^$tk1<7OQCBeltM<2ka(v%VIojJddPE&7Tbs)pZ8>Q{g~F;D>9
z8}Sa3(w{TH>h{Q;MZ?<69B*4{3&(cRA9kJt2?g+51KI>q{s<Uz;SC88pt}bq;8r+$
zr4NbYlL~fmw>p2rK@dZOt}k7O8pOpTFI*)ZEZ{=h1U4U3ROr$e9baWg-E-SR<D&MJ
zXT!rL7;^{{4tgOH88x&!9z}^obB(RPFA)z8rrh7mYd=5QFoAwXIPl7o5(Nist~t6K
zLjIwDaa>RKccUj%EHJ%_m%`pl{x7|_yZE%vF7N02fpRE}{5Ap5qwiO}_wDx?eep_|
zydKwk97hMtDu*yT)-Z5}LBUh(o?jAsR3WIYuG@+saU%!7YQ<t^X9ub@T##nJcsL#C
zV-ERykpCpb-V2M83`YMu2D5r{G@Hj*E}<&J;-2$y@JtQwhMq7IMc(@^Ze@f+k#%-;
z4pFq54M|bo&hb!2WY7N+Z?wF$vMn6$gDrdC*Sg%5$detK1)P7k9(|#QoA5*jP_$_*
zi67kr(`Gf~^jfoG^5N8KZCohjK9_^fKKQamMV_q7Ak2>Fmw&}A<NPW|>yeP|(Y(M>
z$lI*EYDNk8iO|mJXAv?nncwf9w6}Ouz$sn(8(4nU)d^X~J}&2SK56Yredls{5Y-k}
zli#{_VxvI4uzgJw4fYnGVEBb4>Fu+bEjtAMSpZqgYB;<%fK4p0{zy+a6n57q=#o!?
z6LUGXrlx(fPEiu}$`g@vJ!9+pdWQS5P65pG?mB!Du%5l5zi@(j?LAL^OwqAc4;99=
z@_Dksw0lrrVWVVef&t9#%m6a<^-Z8Y8WHw>O2$%wI~uTahVGIyhX;Q8qMH82jBFcY
z^D-hIy1oqQ)<x5vua@?xN4~WBvEcbkJfYVnKHmEkNxGk;EJaCi;K1L%M6=}LWGRl%
ziyjHI@a{4teU6AhR!zvbnukibgp@xVLC&^-qkmF)?9LLy2*7VqPS#ye;n1>V{Sffh
z!Fi`ZG}3Yku<qfJ?*?Q8ghPb8N&Daue69X#IrlorL6S0=61NgnHDdB6+^+N#!qE}R
z&?B>6v%V3^D~;Ny`9sRl0pjHC!WI{>w+2<7EB~glN?39u;#Qm_pOV?8$taj3Nx74s
z1d_-GNuGctxCEZe6M&0`wf-<T@CDQuv`U79srnX4{*|CvefUe!OM-kFsh!5O;P3ht
z&;M4K_!e}ic4bIOAMK$Sa1=uC(+BrrU$o~FFsrd_<oN5&hz>ouT}0?)Xk{2MjPDEB
zkTdZSy8#z~rurEm%ot@9|2I;;@U;FZi_c4eO_Pzz!1YL|L{D;DIyug<1YV_EbA-m3
zmxdQ-SEv?o_6tdbCWh7bEgQ{<vO}+VGTm^+R1W!CKkWrAqgbFuQagr}x1X@&y*FKQ
z|NpcI)JJi@=q!LCkv-IieHM&VUFl$Nufk>fbzB#vBZYln-cCegRwS|~AKZz{N?#yr
zP4@6V4p91bpF@kR1*r3-2Mek*cQMY4$c5Je;NXqg-V0R6@WRGc5ot*SclL>aV$=QZ
z;>3((;86?#l-cMJaK_aMzEF!LlP0rvjQ%ky{1XvA&?R(xfoHXWngX!U$`0p8Q8kzw
zDFhr6?9+)!g8hwi9G&W>i!Do1%M(*m5}+(tOsBygu;<IAW%<?1bFyMFI(_m~!2@dR
z&k+OVykb&$R)9`bz_`i#-LLd*ea&lFR-?k<ncu?3TjFETq|bq{x)lU;CwVX(q!tE@
z`lv=#SgrvC(N8+c=tvk_R~%(;tuk~8G_c1vG4ECPy}RKey9uK7noL{Bs~Z=QZ;MtI
zw<ljYuEwuKgc^h?y?Ld7d-t;KRO;#2w)it6MBL>Lx2@+p-fY?V08%YXEQUZEiNe`Y
zZNDwa0sXcxmCZMmeUF3Kbmdh93OPJ@26Q}@^`Vt8chQn85Q@%Bb##F647Oc=dH$zt
zWv+59oNco6;8<Hulj;G}v0hGXA3j+AR*C%@F+--;bG4F_<1j3(Z8q!I(dT*S-LxIu
zL+!_19;Pq0hSC+PotTek_AyQRgg<qDi_H+vL4<_61&)~Y&VFuoGSXt2d&3P|zLc<J
zYT?u@4?eJ?oh(vvQ7<Kl&BVi6SuI42(FQYwci@z9vQtcYmA`HMGCBIf)hLl74L>`r
z*C8Rjo3B}-%5+pmpm{T@MreLALU4r!a)z&M3&SkKVpNaS0Xx?&(zX)rT8AhoV#%H1
z;HrvMPR!Tp+g%?n6DwqBNE%UqUF0-T<-Z~YzxaX>?*E;?q~Fc^1E!v087=}88~d!E
z<H$5pIbe2)7zN@uK!uv_B`HjlhF>ZW=@E~(%fq|+1;85f;qa9h+C~7Vt#2@$XrcWQ
zpQkcjMn=Wui#1F?LA{a*cQkgUOZ5DMRwdtW5roUOv9P0^qq)ws6xXbwoQ`03lg45l
zYGGVbPqL?Zvfk_BeF%^(!4Ew@_tA@Fd_1k#APsiYV})7?YIOLljh?P6zM69((37fv
z^V#MBR|`SLd_^#NfDiOR@jkP(x=x2+JG~?Oe!O9S>o()R0Q<F4kw>9fh~Jb)V3lJX
z%atZnnQm_MA6EQ)KK}$>*Bp_T=cIb&ZCQ~>g{p?ur21y18ctV{>zE|LG(*Adlr-v)
zy?)WNWk$<$-|wk^lXl$YZ@x@*n@i4=5R=oW-|-LM<_y+$T3iL3%~bPyi%damR@&s5
z54Ty)mXgwR2*Q_s`oZUS!r)#d7~IX9gWdg+%*a2x8G+SLh&Vy%AVkB3x2;_e2eWop
z3)y7s4@T{7nr>5;!-GoRQOoVE#pmi2r;V4(mh99hdqe-?Gp?Y8f93eP{(7E^qHj8#
zxT|D##?6+Nnj|9rq+v{ie;v0brEMQx&{5y?*(k7d{qOEl$=b~mcw2d1Z2+pbk<`6e
z?XCw}Bu-iT&!i8Qk#~Bs#BP5%Z{QXvOS}25r845>)#fe8{i$}*gEHLe9zXYymoKx8
z9YtudmXjf2spKjaDUEAKqJ=8tvs9y#Ny+&0(a(Q$!_5C%ar77om67<XPKxl7fM&Yn
z(KgGk7NhvNq?U47xfq6oF}?O=$&Iknn@c7FcD8nZbang6Dl&?37WS?M-D-nWbi#K4
zF7+{cB+?1?@?PcU6Jk;lXB<X1{D-LXG=UOd>=`pkdIFFUM9uDU<-)&H&7Pv3{^iIn
zs<xk3-8%X9^+yM{ACX)G8VXnQHsvVe&qU%-#@>2=<V)w^joKzfTS+O<MEaP{oMb<S
zeJ)Zll@2|l=o&8BkM=c+WF@f<rct>Qf5F@g%Yat3Q?{W}|6={kaD)t06R`Zr^>iKb
zhRiyeQ#Wr$A@RHVkynu-16Dw&@^_}_Z}CByb5R3`8tglj%GshMh}q4LH^f^pA@g!U
zbqXJ;v`X%YXFuJ!=GhW%Cg&(tDPugq%ie6+V$o^2jS8>IwG=ZBl%+`V7rN-sCt7td
zDh<ftHsgRA38ky-ovLb-=O7E7njevr*s)_vi;GDEo&^x_zI~tam_j>3Eq#=TCA(uF
zNlNfI@fuDT_c$;2pIP`kP)2rGGGS9Fro+j%Ej7_<(%;H}jeZmnA?q$Z?9Z&6Z>)ju
zy!up$%V@9H7FUwZzEERER%OsJs6lovm&wVfw7Vt;X3FZ%uKD^a-x){rxn-Y(csT&I
z`Yyf5JDa%NnGaTTFt*YOX%I0*jGRumu5O$U-wok(c}^z(CwW$v^s_3q(By~VV&lUT
zH*EnQV1prdN-p$Ig0<n0G~U`RnEfD(6#rTRE!~Bw#hHcl%~muF<@4Rv?QeD7JG~92
zW{0A!qgH4xJ3~C6hie*_s#5-c`|1nn!+1M~$qC!?XSJ2N{yq7wtwPzLqTZ!$!p#s8
zdtN+|W&$2vYp+5C)kUV16H~@<JQZk`e5_Ye)W^9)#3`;CC8!_$SJ#ILJRw8P*x{*i
zC(p-Y^M^zJ6#BUN&dkC##;=sZ6TapCgwDHB9%0cgv(ehMV9j2!Djg^51UV;-5`!@v
z&-)+tmaF;f5;ib6+FWKCj+X-(C$Ch9nf?o5vB^xJz>`7)@!}1AF9xkP1}&TDtS^hL
z5!(LPXu?Z~YF*yAj9m-C(wuVw9bZ3_zk;@BGE;W(wQ)F`XnYwpOQ0de55J-3hMUfB
zP3C#iN%(eR<fd+(u^=#@@5k%);mNY>D!Bv5<M^&Wu98<QC{rbV`dnwqWUL);A2`(N
z9cdmh-KzzI?HKR+v#2x$86X2*2;x4GiH1c)c&I9rKzkJ3|5m5{Bq!H*vDv?Qe2f$j
z5CHJK2nh&0UbiMjMtT8_P%I#E0>pBr7aP5i2_8ag!hn|+;1>xC8v+5yOFta*yPx0#
zbS=dEsmP<*^6mTt5$9Pu1n4`MX-x+hkbD5s-`~O*>aOuGI3WqLtUbTNt2Z#-rqW-p
z_ZRAK(Z^{Rb=(|cqv|6}Zwmj^UJo$Izc>+-5>CQ$G-goJ@fNHpMmPlGrIO_aU2^71
zWz!g+ovDWXoY5?K7a3;qI+y?eqZ)0dcizxYEI|n1&xftMm!f6R+vaxsZj^Wb@L>FW
zf9VOxPirj_Oeg2|b9_+YP>FkLO^4Op3JMFsO1UC{^l2a%2FdZ=;SDeV1oU6S>FlO@
z{<)Ci(jR!vcvx2CWcDAqH|=Jqs3I0<vEbz*^XL}Zc@TZ(my{x{Zgiwx+lksxZ9`z0
zZ7B1UTwD*9`|PLC(}J;{{uqx%zwmWzCujPwfCA@M2{(VU<^&~l(_)A90#lZ(jC(H?
zReO&~-G=oE%88)|et>@`Omj7DYkT`{yy}$l;K0C7r|qG43GY&q9T1?mI8i;`ohR7L
z0~FfXvN8?;C<Tv*`0mZcX7&pm)C1_IF-S?{{hn?CEifwTL$N|;IDlZ<{*^?9dT8i(
zgR|y+%senSC|=!c<Gbd2rSR?&R;-k}*A*dzGP^sivALP=FC4L8`iC<9qXoxJ7Wemy
zqEVA%LmU9>;ahU=s-cc<&S2y$;6%t4$G4lNcu)o+U(TERY>u_2emx?}5XphV_5-N3
zuu6uFypzf(zj8V%)T@NZYtY1XU|wn}3tK!F4q_Hm+ze5g+q5RTS(sj;n~yIoS9*1_
zscd=ax*tkL^p>|Nxo^-^3=0HvNhg!36C9@s`3X<m{jfjaC=ott0`%QvR3APC|F)Lw
zOIhZtJI3bm?Ix*(JN?@5E$BX;!rz>I^ey^ohwR)+thl3;PB)^C?`9~fIhS_r!I&vS
zW+vo!*+!buobjTCyUQQz8;QvPGrWewDSQnZILUIx$#H!?FO+sIvc96+HwjH}jm)^b
zZwbAe6>>#10l-P{2(T=9S8N6ZygiR#gQR3+BvQ?Z0Yy4M%~DN?ijEE*G!Zv5>&2DI
zmx)u(mqBrsa4T*i^F9E-zy11j8L$59ZwY5-4nT|e%bDgo0*zV_2S2j{G!D+nI&pMY
zsBYBZ!KE_Qct(5g>MDj1$gI$O^UjOtVtM5T6etINJ$RE~b@gmOvF51?kH|fZ_s{q4
zv2NOWeBhI^6AinGao<{6<m0`2el<TB=)!+kqMEei=JVPhE)u=s=1{HwXV~q|LW)%U
ziYWhrQ$uh07fkwydLFx%O+?<IPr?;d62VR;5_P>JKOm#u6R!bRV>4o}T^fRW$6v?+
z24t&}j*c~^l7J<=Mp<YJ-(yHpbKcJR`FSEKCZ?+GkFBFp{r0A^_>TGLOy%F{>`>Fi
zO8fS*<Sk_PUoY1^kGm6$#_Lzvc1PC%Q_>9xDtZ<e(e67&fB$o>Ujoc!Gbp`O`9692
z>$vdcc+nY~vlsVcenz7_+j1ug#0#F-M7XD7TfebAJUaW-imkZiUyO-^`xz*Nsj<j9
z8{i|F*8Prec3xfhTHlC4VyWh?C)3cKIY*%vw{BBBbp%T{_VM#w-lS1ZBYa(gxS0XZ
zND<B1bf?Soc*&L$H-Ou%2_Rti7{|iG+E$NP8BC^Ed*@K@y=A4Qh658^d#x-mDc5@q
zf0D;v#)5ik97wJn43*n3u+K>tZhmXVUVmLz1&O`fqD-DIMoiY}n$B41pxo%r4P5ZP
zny=dn_~ZDz#RC26RmS@pU+HL!CgXM-O#akEQmRqx<{#<yi{0eiJM}bRe(B^vY<J;y
zkx>$+jBt}l3$j!0HfMGX$b<4mK84Sm4R86}jNW((&Ewllf){V-w#%GCB*z8L5c1;4
z@w;6V+$&WpMwO71OiE1LNVIR%NlH!*ot#vz)3das8~@4)2=|FKOSiVSW0=+Sgr${W
z_g;L9y^&#|kO%xbk)wnVODRm$58xSnNoK}!yeSKicWtD1IX_Ar5PYgs%9EJEH**ug
z!ibmo9GX0ZWi=R<Q;WH2%LM$H5kpm`NMc6WnCMpxO=weav~3U3(BKa?&JM8JuM0t6
zum$j4%9E(9f~9lgLHl(~q=T)BcBsKVCQK!Qc<kR=Ca0CUHvXCqRSv~#ZSmg{p8LOI
zVH@OYpBc<x3D&|}438G6r%TxQCPD+9VC6)i`=-__a0dp@_`?>2VajQkeYnKeRfH#>
z!H%J_Gt%GVZ!VvolqjjFku36Ax6apJd*=*qd-TRBkp7ZIMSAxV#fKxdON4iTyCUcw
zI4lU8&&uJGl-zsn6C(OIz{9)Kylgk6UXk4y+T)y3t8ifRe{_>88Td8!BO(>LPUxTw
z!$qPOSyyqX^P-Z)8bsLGxPidhB(_YZ7H<|(I3D7`N3vH56TKjMCaN4LXXMDIlz(fV
zc^7R`EhTWUu|t3U{Mo*DyiiL8JP>pooG?H!3<3dsTU2Qk0Ddc;3UFUhTm?v)?3TlO
zL*Sr5CZ?uNyQ4U+CksjK2_%B<1G)~KFfoIW*%Kl`3w7p5ggmy|C+@jo7v%N6BO<ZB
zO^id0HpLmr2++GxRDz0I2Zp!((sfMv(>*)~+!aWDf-|z^qzaR57HaZYyomJ8f6=f0
z@SkWmp|uBy!iVt&Ui--@Yg2c$y9!x{Mf7Hw_GU$i8eOsaoEc1hQnj}*8nGa%-KmcY
z`~dduL>J<y<J1wIf#)XD6kny8WwUh-Fx#)<JA36M%)~th%8Djd8CfHeGt|7h{a?_@
z$Pxgu;m$HmgWWREI?pB`y*`*N$Mb)_lx=WWCk0(>#ju*ZJl<#nghXFIKX!oJ3V`c6
zeXfp$J<f<ZI5=vIdLd61YN5u`meUxBc<qrp4H5v$N-o<4bic>zULuE%AS_zNjn@5~
ze!wVM&MY(0WAyy!knLY`Zd5vnTDkm>f!wh#Qf%8?lro06RK#Nlcdq|-$Q;H+w~`GR
zc5@W7{^hSsLy%`WD(|}~?Z=(NQRYhJh^Q4iwFjuxK4<Y44teGM*)5(a!LpK86pQm~
z#mn)mgQ9U*30zmgvt3rJ^;~ryO%MdYb}Sv+vV-zF#A<(4vN^lRaB5N`$A0;EC%kcy
zTi6PoVFmjt?kHwgFzyYcX;w@BDHZ@PC&F{ts==*67$kl`h|VLwltENHi5uJ_b1%CV
zTA_WTlbaO9>7a!kQ47gpOaU2WU1Go9=y`ms3++5kFd8}tJ4)nGtWZuWMxu{!&-?RR
zXI^Z5GkdB+4NAR=5cDOr2VYW06;_d~Bao#0cDvdT4f9FJwOw^n+rPP+^-9gZkOvIZ
zZuH$>ZUfG#0l-X(Oe%yARCw@rbe=ltvFNvj0%aejfC&Czty2)xUc0|D^1aseP&Hki
z=6!_&g!3K?fE8e;ARvq{v_9V&j49D5$9;d}dsGQHy5~9Xj;6C2LjrE3ahNxT@+HI=
zSY<19cZZ>J<tdlLsq;>Pj7ZttPetUp>B><E8tmp{%b{g-IbEdhLH7Yy4f7FCxyr9R
zaq+$s-N-dBOd`C~p2HW5heuhJcv|(!_6XBaUegV%jWFH$@9cg%X?z|hi2N$f^P!0R
zFot!&7#Qo;0Y7b@qOWzaJVSOO(G2jaIr^Rx*gkrBydv&Gaf8bab`(nN2Q)+A2*whW
z;LIs+_vsxNtRa&>d8(=8sHrbvn|vD-1n2$b;Oi^}k%y#P@^34cQ_(2JrkhP+F^D)Y
zoEg5ZIPFK)?F@jCX`p95#H4?a&)|elXtEB)>v}<X`eOhAG7H1FX<b+zD@_mRsC{l3
zP9QAzxhvlSY!I%?x8l!b6-r9%Sl6O3r&y{ZaL#w4JTUu@uhh8=#UjZbMc1K79-C!;
zU$Ef|ovc^8$Ao)I*$KzHt)KTaa`Jv6L0c5H=qTl*l~YB~-xc<YOK-Bp%y6@}yi3k#
zg#9e~xE*hom_fCc?me>;B{)Z(#M&&9UrgEw*DReDkqI`~X7ltU_$NGOZ=le(nO$7-
zIxO7cyZ2Rmab^FDe90(*iNtPXx-w3#d$)WEN85w(c>|u)p*te%_$x$Ux-x``goa)_
zj-3Qdk1;h(g#rAd=sc7iRVEeit1Il&T@w9rEMsxC>053@?dx*o$BraD-?!1lQ0s&8
zm&@}vBIr29knc|uMoVhB`*5XQYDBwE5*o=p=!Vxm9FQ2oMENqSMh9`XcVob`lv3}+
zSF_7E$GjA_6UxO7W^jl^NTC95z<258J!rY;(fT7C&VpiNd|@HFJ^p*yL;?nQSJi5?
z2$(@GWUg@%h%PN>I}w1LoOphtV6cV7&PHD?<3jr*=zWPLp#R}vKaYY{CZJGmy7cc8
zd=+VAY_j|~@e4Pq9lxSQ)laOlyqSu<1b-^Qe1&F5^-_X^3xASDvXBYCrAPz~FA4_<
z96Vhp(zOApD8AdzVfiBzH0ocXA1Ox7jz*-5Btm^CXp|16A_=V}Qp69dBOSRWfY4gt
zg90wNe3XVuoyJ7MoT7h9xs73~-=4z%K@E#RQ9mVoQiDGqDep#Ay?r875xk_lUr)dd
zUv?6QBia?2zL4p8n3C(%+U=cXg_06OTiSueuy(nf-SW-U?fkp?k4f=MrJNF9`@b4a
z;mxgSj$98`$xXwv6h@vm3g1F;SNo<sr0}?Y<H?U1#ZpjlzptR1)!Zrzw^!>7F|cbj
zjMUi|{E32^I+d}!xZR;u3C(b($j4o)@vJm2%3F`oL{K<0_lJ=P=-gg;OB>nBPVz%K
zQZwSYy>?R-c6JA`Vq$@BFBsl3<ml@1_Nx;;rPI8VEh-wJ&<`6Nb!P@2$y?C)+ZbVG
zJr<QZM(bh~p_YCQV_{gXbg{he8s~&FjQ(aNwc?`e*P0HBoEZ2;-mA5{9^ANE$UpmH
zBj<SQ#ka<LkiJ1*ra7dk9PcLN!?A39oS_B<#yJgPy0V+R=MjnTUDv+)KJC_fx|tXX
zHJ*ETc*v4F3P$G{-H}DqJ|*;njG8SyDIr%$Z9-rxt@F33Dkl%8=76h?@V(wy*}fjK
z60hluH)Ud}qayYAbSui77R{dKsIvM+D8$Utu9KPlGFmhTMgsygB;15yN7$Ga)>M@n
zv#0D~k~lve5;Pi{W<5@3z+#9(j63L8qvgGamMbA}&4WvI+H2xD0-kad;QqINO?=mW
zJ9W>BYTHn6XZ05%h8ntU@{y~I>x+1MRXwGrb|jLJ)IjzkEDK%8xVTn9!=RRHcJx*=
z$6#lrL(xdhn<G*2*GLX$$eyl_o>RU&EaRwX2#@|(yoFP?k1pYcM6JF*qa1`;D7dMx
zYmI_a&GL&L1--heEHS>={5a$Oe!94ph6lFVe(4}RsjhYt=ke;%&&j%^<wiBDjZ02<
zsJdJ=fHqOWjU#UIv&x!!as*B_Pc$#t<-BnIz{Lt-nKO%ecSvrMsfglBij0g{4eMjv
zL2zW(Z{>RN6yF%wn8j!!JcrH6c(sKZOSr0RH{|a_bqEoTML#tXXzsgnX?u7l;hL+c
zO&+ma&b*v8HBEceQnl_CkILX*aHf~WbnIwsV;-a|fviaoP`rB2VZSOjOm#!Fb;F!#
z?AIgd0S`@0!B2tmSwug9I=2cA6grC{(~Y4&StM&3I*Ty05#Gt>smIzbE&0CB@I@x_
zzej3j9pInYK0FR8Wqb|6MGNcys&TR1UVbqa(LD|6AGC~t#SkPW_HT7wkZm^r>QZLE
z>VCrkJcSN_mU4_|zq#xYFx-5;#2s~`JJZvz<RK?qiywk}z(qY3Z6rK{s~cD%gT
zI5BX6r{IRVJh<vS$x-$BW3+^oODRm>|J#GI1?#^)`mxDQILhhmG^99_8xOc<Pgs_)
zH;lzAf7+YNnEmDfX9ZS<dqu(p>dj<<8Wc!OMvmsIuprr+t<Y9c4x(Iey0R0wWM^?X
zRp^IkDNEi+U-d7-g(Kf)+F*o}im0Y%ZV2Feqr^3BQjrPW{9vWCQ>jYFAOj6Fn=7YF
zrYm@ET67|X-7;l5R}0Wz8KT2E2J?}RXFf^&l4fI^4HqDzm<1V&!b%7X=gO=Q>8D0!
z%EaP$b%*NhJ~6|wd-X`BD>swi+KEDgK2|GO>i=S=UMei$%<=>OQ?Z!w8deAQ#VvXc
zN3)U=a>IU;7*yE)Y#K_IAO)jWKq|+<M#Zh2Rl61`o)TG?EU!f=LO$c87|;^ApAai3
zJ0ts`lSHODiWSqwD}g3ED@)++jbo{kK-w0YAHgE|NiLje%=4@hjL%U@me)i&9CR~v
z<X#y{m#D?LSH=F*465S~S&EFE4}<ip;ZQQu$3!u5&!6|k7T9&aafRmVv)kJ#(S^|I
zqJtgQb;6hDzfT<++L5QRrRMhdMS94Qqpu|4_{8`AnT`x-MDg&@f)0iY-_3o7$QF+P
ze<yPTUdRF#Au;k6Dwp}w@ImYTf!FNSRh*!Wpv{D^WnfQhIyvBfb`~9o1qQbv5q^TT
z>X0N4x!9tZhDRfk3y?k`Qd^=EP8upN|2uNzt0SGQ^!Xs~TIvgE66@(!pigOtshmud
zxv-H^Sha);D1|wBz*?fyfs!gv`4>`0_j#~wcLtP{!7djdc3=jnwDdc-={#0E*FfQ-
zh8>x)u>9z;gy$nOz6D`5YV_ZRq$OrKU74FOy3esVm7lj~#W5aA>_{ZgXh#Mlr5<h*
zy>S#zaSQJ#uK8o{Cn&eOldO`5VjgqcC=-!xg7QU>XP!PE{Qhv}lRp%ug!chX)A`<O
ze#!EhbcwXmn`ba7n-=LN!G*a1G9IEbF0ZSa&W_aOKHv-0dzQ0T|KWLz*(lcdIi_>v
zf9;cbry0T?zHfo-0<<FW|5}mp%a^auE(erlTIHcbDIqJXBtT1&Q!x`2zwsw{Gu!lv
zwww@m!`y{0{M!y(8Kp|)$Jr_=iT`CmlS*|nz^{bVC@p*PqP*-g!$WS~YV_f+d}wEI
z)Its?)-56^(Nt}j{vfJS2rH>bW5&f7rS`YDE<O4(X2){i%p9`YNk)sgMN`EA*JxFc
z_8Ltk%zab4XTtqhQLv0ib|dPTmO>BQs?YYN`DYSNRZ}^8edi_73mtmCdhU<6VGceC
zD>Bqa-%ILda1m~bnSTtmYRK4AU}hKDN`G92Udz7)3U2T5P4s@{-*((07NkI~Yfs%G
zW^Hf9#(^ySklvaRU3j{q@I;Bie*6hARgzbr8eQu)6|>h@U7q#I6{lQL`9l8Qk`Q=N
zQ3QN$M*=#bp?PHq3GMAvKnKo>Zwp-J{RSi%=K3VSSyXEzL1I0>vy^y1AdwTC!@V4M
zXf#yDef!XfpM!}}e!wH>B|+Eqhb)Gl(Hg4Qt0(!JYVajyy~<8`_hu5Gt-;&DwRDA8
zJRD@U%*2=C4l~B`7S=zqufJ3+(3LXTC}+oYgC<=+3NG0vgRf*Vb)Q+k-|B%#Ytl#`
z(g?nkn0L3-<wO>dfwC{OFwq)^VOnqpmC`SkJ^L+l^;D=N@D;@U=)_d9s7lcx%ii1y
z)8$J`j%4As>D6)&%UIk2^54*R!ZzKjK~vKaMw2ZcEADOcfe%Ut%MOepjslZw)qy0f
zQPiMG!^6_YU+CONenx*OgV1sC5lGZg)oe2F`{zoo%s=y3x?JroIHPC#qJtcTpE$0i
zuQkL8MaL~~5&MKB6V2oXdke5GrXInPMv|`Zwvnt8RlVo)?)^+EnuteEHJBMBt;$_V
zD7q%<`L|_4iQ4Rsc#0_KUKMMvZ(W-=>^_d72V8{2?Sv7>BlD9Vn4tRwn<duwP%h3{
zQ@5>6$|M($N3676di;soTs)c8Z*L&K&)Q8tQi!0S<9v(2R|UqgP&wIK9h9LGelWqQ
zkMXF<(*S=X#r{3NY2ijJ4otPdDE%pJE=ydK7P+k$ogWrBfTDj{`IewSU-D3w{v!Yn
z0qQR=mKYOnLC_t>T9K>>GTJJR%kavC)T2wmgceF@0LZT~V#>!7TIbe2zQ6mF;&DGT
zMdC{=#7&n|JVbM+#G1vBLK6b8200@9m~(x0^r8TfuUe~jzN&T_!(SoyP9;x!zRk?D
zG2#~dK#7F64Mockjz~L38<^U;;<HzD{uE%M=3u;8`oibL2toUO>r%Bo9$&Az^z%^>
z{OxUD?C_&R@zh4PXp_lo*ER_B<=e$(Vi*1-195%$-SBj-V03GOVSNAPm=h?_VHi!^
z+^|~pIKTXUf1G=Ox;WpX{4xFUiYC3%9x;m=T}aIL>g+tymlE<%_Y1zk`*H0Z6_<Lj
zD(!eaq5yPLVB8|x`3Wl<BTTsk9Hx?~=?aDA2Lh#e=j`FB=qp+Ft6%OFo%kVFrJszl
z_A2g1y9FD<iwz=#_gPH`H@6=S5luZke)ANV@BjP~r|fF2T(AD5qB*W#PoxtE`{q?q
z{=db-tl;am>oxU^osNPwU9#FhsGRaq1BxXKDDqQ#pl*@b?D6sz8WczXhG)X9sM=GC
zrwj?C?XlHx)W}p1BWS|1aK&A&RrJEZ%p)^MNlitR;9<RYRs{@D<aPNc641rpEQ{4;
z42Y<Of9<kamqlBRSzw8oi}0LU^zctIQIi^<to2iZ{u<J&i<C>={}9SfDUDn!YtrHd
z^@NR&P2&EmAGs=OOZP$mZGgFd#w&qX%xU<No1J~soI=kNqc4jnZ&;6PlXH`rWg>Kf
zAV7iJPL~C+M+3h-k)=$z5Ru#`*ZC}+3W6K*2uXBu)nEz9DVaB7g^7QEGrZj_tQBVO
za<l2k^^2@#Ww}k;YLwWzYumaWp`0$cAn`Sod(gNHuS=r)jpe{cX#WBvprgGdvk+t@
zLvtvGqo*^Y=U_0}Smn+oJIOjk<dWASc(FfIpe!9yr6u8~MNdF2i!)$u#n2~zGI$_>
zTFQ)mB*(Z>=~6A2W2hDZb`g%bm}WJCHtRH+#US#ruM$PG{*YDCveX<(UNqy~Mh`DC
z)&f6hS$Ksj{=U?!cmJCY`8C0_Jwi+Qzct5r@VRo5z!hKMLB+#ES{WLUj3f)l#OW90
zm@>Xb`njLk80bj;xE@LIJiK{$o8T$ex&u8mk%2skZg!4wQn&-8`iF-jDNr(7+8H5x
zp?b+;-ok+m?lA4`duSky{vInj{_$<TXVqrnd2W`p0IovrX|&MjO!ge&H`Srr0`wrd
z&`BUx!@5!=+Qa~49l+T|B~ED?<zJ?OR}MgN4lh;W+u^UFF7mzN_q@X=%&~c8oSO=c
z#gk<(1D(o{Jvl?Vru2xR#9S>}K}5=Nsh{+tnbEQ5X~ondvrr#7LIw!d6A~Q~+cJ@3
z_}|uL@=*zB>KSq)rbLPe_~WZ_ipdztX7fz!E`8Ld>`JEZh2qUV_wq5~!U#5HOPzQ9
zp3JwlJ8APRRsJFphga?Y`({o3h>K&7?0msxNM*+_q2<MoE|*qOlx}H13SSI`8y+b7
zK0unPlCrjqeDpMZ0M6BinzrLihmU6m;5=*v<@RM_*ZWGlDV+x-@i}dvX|6rj4RV<!
zS6ObdQU~#s@5B!uKX(2APL{l^?Eir=8Q(|qlrIrT`HRwVz7Us;r`746n-hQ4C79uJ
z72aP3jhjN#6^+aK;`NUd!5Ny4d%u?<!`PpzebD}EZ1P_pNBRx{m~^$Y!adxoXxn&n
zJg_m7%P#+t1_HTt*d$fY-&H~MROPp2xRu9x?+S4I{;DTehjf;yi9m71Rcfsy>LwiI
z+e!I7#eAshbDHw<I+;R9@alh|h|#9*7zAkhtH>^}qW%LG&^!3UG%2Pe)ny-!TH7)z
zTYRPhyWlpIGj#4Ot7IVbsL`6lK@_IKDJ!=mQz{@G=&7Nd>?vlEi1YtA>L&T8UipCZ
zFCoa0?vT%HF)w3R4fsD!v6?hZ6=n)+nz=6)pCCIsW$lzyhWla`-ItvAgbWTQao?<$
z;Jb5#c57zNN~giHAp)R4X7+vJ=4ZtDwD~OL*<68+Wq0#hb7`Tnd&^$U>+~DQudeX}
z-J%Wcy|hgm%m1jJPGVCaJqRuM2#ZIZ?Jd5!qxb?b)1^<;v~$o}_~uH+W}~X(P(~2%
zHFBe<Qg3UVbeI#^78?K3??jyrSCJ8BWE!fr*q)M|1ty!!&JIoK`;S2_GMHB3qXB$n
z-GPodj1G59bw4kw85{FJ?e|gU#6ORbLW~ku(0j1-M?%Zed2Xqj-5b^;FpmEIW{E~)
zF{$y<#4z{Aecfp~$DvIG!>rR`*t{d~C8utG3GV;Jp*z{?u7GT(g1#k_`a%A59m}6o
zhPWLUn7vur+s1Z-b?JZbxxdm7&LfMbh}FVSpeMsHcC8?08^q8WM7sjx6CLPV941qP
zWaxV;FbXdj8{4>?PBbsbLXEGMTe@g<AGVi~7@hc!VL`IGK|)X(jHOb{IYX~t&tmg{
znw9QR8_(r9-iTS7Fj9@9{e7bPE8dmSiSal7^Xktrs&%)R92}QJZ3^j}HKHO1^F&Hq
zHqpoQR+gIF(A*3U+nO>o28Oj=Qf``DYj0MJn({<Z&9X9EyMO#$JUkenDJZ(MZ>M8W
zt=0pYk-DFE@XIUx096q_X*ev3gi5yx4m9i{x0jNr09@3(n%-J<n?m1Yotoc_4RG=V
zXuD=JQYgkaL^AHN+@Gs>oZN6K+W-g<7O6~slbg{s7y0I>9gsUg9}{_n;{Rd2oI-2(
zgeMcgHcnwDm3<l6t#?@fb=OB0^V)aNOxFLCUAV^f(b>aeKS)--1lnApjhjSGsUspl
z<20cuW$CAe7-PCE4e_U_-lOAXM<MQ1Cav{i0nkRmG2G{woaVW})ReN)zvZ5fdC?ZV
zh|%KidKvbbi&btq7(T?*=B6iK^j?hV4NhiA?aITzPL}BJ4R<9f%l38-_3;x;>drY8
z%ZmI!7*UkvdI_wr(9K7w`1W>n<M)}oTK~328gF8-+#r|34ZXu}Mtt~lOfl`Pc(I5%
zk*4M3m>;|S+_W+_4DD@>xSRxGhO2F$u>-PH+VIlmtid@2^VH>s<v}d1+J|9%km-Ry
z3zSgDn0@RhQu~|~_-+!u;Q%*2zujbIH5-l)NFAEfF~XpLy;LKG-3^wZg~4RMDBLtc
zJ0X7z6*tyJ<cv%!<J18FpkppNO*S*5(>NS$A5$0*`Rta;BrpH@8_cOCHA=?Q{NQ0j
z`GOlGVVi^t8FQ_y19L%Rv|LvtjZIOnt)}Rf=6BOCpJ0>qet(*`ZcH?1H=Rfl-l+|U
z`rC#*>apc6WMJ?FXNCpN&To(i>z~}gRr&C<#5d@#IDM$1OkVsUuz>__ZX%JcEA3<s
z!_c=0CfENOd(EqYHYeswv3)2nbS$SPVwOAJv-!C`;9PQscr55VOvTNOMCPY%*<m&U
zUR@0s+<I*MkQLJ!<WlRT-D>RYFTz0#4^E>zMWTy={xoz*rRBJ5D>RYa5r0Kny`Azy
za;n2rxZR)SygmA_OA=V^jFhYd5M|+WZqqMR@W}f)v!L45zKQ40+pziVGFr~&BhX9`
zg#pl=O(R}M$7vPf6<6%>uaZ~x3jfE}TSry(MeV<b?gk0zZltBVr5lv)5b5rg6e$I1
zknWW3l#=e0knZNU_`dJGcieIBA4eISaoGE;y=u<&d7inpZXZIe5N{Sa1xbob3R2J3
zdHauv>uR;7f#{2}q|rzz7QyP?Ve?ho{1gUXQ3|87X@@mkV9SqC?4vi0$Y2F;gjJ4V
zgAY-Jh7c?9g{WJH|0u7iav<@rLcO_Lg8%t%qcdwF=YuRk8=oU)Lp3KwQeaP|?xl+0
zbT%I(OG%{{rCB|ZN~VHbm;w#M)f(b^0H0dKCN38FP3WI8B$m`De{cv+U?}g0V1`e=
zh?#C*7@7OFasi|x(Z25|n_pBforu`1*r95x7~cDsCanTrrem-{q~f{bAgU{edp0u6
zqh9i#Va9_40BR#_Yaa{?j90d~D4PcRjFa4tezmcUFYUCHjJKr<`^~Ru)9}#z(}U;3
z-BaYeAu22#_;GdCLH!F{V&-HO9JUQyx;KYPR&_)VhCh!$Rv`;IYub9eE$%VyGYQjm
ziGgzC_Xzd-Q3!+|%}Tw%w}hTK{Yd~~wA4?vyz~{}b(Od)uL~ALUO7Z}LavT_Z5aoK
zcyiK?w0G+ju6cJA=iH}*Xo>H3thCN>#{K1gQs1`mW*|F+SvNNT@3bH%C7o7Gg4TmC
z*rU>hl;`P@Z6OvPh_VgNznjn1fRY5e3Lv{5%^Ft+;(1c5o{)W3S-)eb0>5Gx`PWjn
z=ky`;60{s@)<l$wG9E6eNM(5266O@OTD69F*@2W2Q{!=Q$#d;9Lz0WtzevhT%WJIY
ziM+pi{p%Lb8w?3glJqz}3Cmqa8xs%HajdEj*N>A7)uCA7mnW0935f8KYRE}`sK#e&
z#f?PzEnxB#2m^PxU*t%;u!hPY5gW*9oo?`c>jvu=P3ZW}Kxkjwwk;iv>tZ5$al}l5
z9QK~0<bHm{7{Z=}RM^wNeY-|hWR6c+L|gp26|!$!=nN_}B=4sgrNEyp9hswchYvO0
zv!PSSznXcIsJH(*ipxj{+xe`>vtAc$p!QZf9l^KUOngH1-DEF)7-9Wtq?^c#x6`NL
zNfeymrH({ad={C91T84j)chJ+EOcX56XA<B&t@o(NtE;_%QL0Fs`ZGTTV@N&(O!2E
z)5jY+=a)RG)xQZY)X3c3w*#f#6&^vWbCBP*Kv$*GVJ1dr#*v0rOhnLq=V|q}2ozo8
zYWBNFfa+|sTB*x!Zax#Gv_NtX%=bqf^hejpH;=d5f!O1S>f<Nmg(e6i3_R?|ZV#3T
zntW5Ii2c0p`g`q=la${VVW1krt{&EG+fGb=ftX(2M6B(76f9X>V4>c8m5Aj=IAymP
zzSn+4E18XV+yZ<aGk&xr5hOL@Pz<Lk$&&T}@1p06L96r+3(84ZCOAsTn3y?ujR+R(
zA)de`c<M6TDXBe{0`D=Ia63oZbYusj%%rYsl&3!DGCfnLW~I6M3s}gS)_sD$>ef%)
z$gvolY`1h2&rM3EQ1MMIt_sPpj4v7@>ZZy~6enS26zAK%adJ+9&j^m~7g)~%WOZYs
z)fMjuTT%Dxo!c>@4X!jxOE2tl9GXmN@E-IN@=cgwBD&IzwRbT^G<?%HyX>htER`ud
zz1GsMXULs&EL%?2-@H2zKp7}#St|@r2Z^0kldfq~6>(em{W=cOQkCVH^g1JXeluTZ
zS<*O(N$wEpq$fcQ%Y(R%ED__28+^NZ+kwFqRMEhSYpak@yKpUa1<gK_=AfyOZQ0-N
z(W4HZP`a23b?A{R9apVk;XHDk&ldnEla-F`-}}^`9oLR8*n(!3k!6$QbiTq`<EJSJ
zfF8`(zDQuD5BE0*-C!qB;$7ieqi-UC?C=(?u-h};M)M^KbwYCJfj^&#WfRbg1}iA`
zW~gKpNy8UUKg54&LMBpt69m0eGPIqVi<NSLypdoa7Q5|JbfrqZW_*=EQptd9Kr*wu
z`~fRbz5GYi@T~H*gKpHwpR77xalfO1M?#c8Nz6W$co3t5W{D**nP9MIZ%~|bzBz{y
zRmX{Ef(b!sVq*7*3#0b#N<7D}uJL2I_#D)e$eTr9^k!GT(`whC_z@7@G)(=`LNaVQ
zUJ)W)wxNwL(@Mm&Nw-LoMTStAWT62DICJa6x`aTypCcImv}sBzk+p^NG-|jUt#&Pc
z@LU5SmVw$6jA-DNNb?*s$7!atn&E}N+EYHKFe;?dtRhS)frQPBiq4V~($QZda*+Vb
zcTMfQ&g9Uq%f!A*4aYARXi#0mN)n+^jhzzHSm@Kct!b#YF=<;`tiZ%jtU$M@k)oxg
zks@tTtT3aJlJkoiP5r~Ts4F|#W=mF^*@hD>nIl6_ubG^$bwt#V%w_1nj_)$`@xNCi
zKg>nC9%m{unz9v$*=RX0dp#YN@Fy%W@spG%WQ&K3uFI@M;(5`f`cx=cV{$Eqo=69a
zQJQAA_JS)JZ1`!F$r5ep);v`0Rc_DPRSMbC#I?7^5$zg<F`}-OnF>hnY2>QA>r7T?
zL8@A~8=OB@(B58KUT|zo-{xjd*qmJN2RFL0W_(N&Pq+m|`?}n}Na0Pxotf-MVc~0P
z<qo!M`PQNF2ct_o-&?g694O&)v%WJf9=10XHISTtVBhf9{}73pf8LeQQJpMt<wf*P
zz2RcvOH0<oLP|qfvZ>jts9S=yTUZx<M=yDmCpr0{p2)AW<F#_Yf_OK)WUuH2+BEHn
zP};>*)y|LdJMN}4;$FmXPZz=o_pIUNZ(-db4XDyps4reA*Ow4{RI7N%w4Fk!zcw{-
zKqZ(T%ordrAmo~@YJIQTG_A*hQFz{8zLD0TZE_H<ywQsH^^?ySVcwFw%%9jxOdT4C
z_SjNS%kzUy4nLXMj88i#QtkjD&731+5}`4%L6(0x_C?w|4)R2Wbx}OZxF-F=J$?3E
zHdp@D)2?ZcNHIq3U%2R+yzs3Z&MRL|BF<lzoe?71FJyjfu_nxTqhl&#t6%W=gMZrZ
zeYtm!Cyd}Y(N_MI{-25jUZOe;|8|WsT|!M;E!O(?trpWzkhJ6?iGih<)%JxTg`ef?
zr>DN-m9F*#LTIv$$r0u?&pl_#vlIfs{8hB{vF%T9qX#GsCrWLph@bCko14!?fwF)`
z97^FCvw9UFe<q09bLTmYy=%K(<rlN}*9sKa?U-S0Y{%0{dlztbPw-S~?>16Q<!*L!
zU0+`Dkx8^gsR4t5V#0;GbOg=rJ!=<{|1`+MP3G^saqFK9WGf`+zI7DW3t2ChQG8r|
z*ZKX}Eh(!GI>)`2+)I1p$D(flVi9QsS?s8b?7i_{J?6A#hG)xmQHR>Yc>;Sc9<kt8
z+?X0P5M)!?mT%AykG(&ZCnn7dtcTjIT6N>q-s)2hA6{QBPKizbqKG#qtdaiRf0gh3
zenHDvPk0J3uALwf9IAHi7Rhv7QXlBL!w!qAMyE5^v6mWDu+_DxBrb$7GB6<F(7x*+
z^M8QSO=kBvF&g<HfWNZRs|@{)76%Y(<?ow<K$+BBht;+hH(_yc<epL_BqT(1^u9*N
z%@^xNVm_yy>{x{qR<WOdD43a1fhq2b<t+qqe{~2bS(5bjs)HmW;b#Q7E9g9L6bo-U
z2gas&nIu|6E49W_)6b})GIj(CP1YO)T%OOgJ{r5@ocmn4k|7yiT#C5@(A7=jr#;aC
z`-byH`c`Ex@`T5NGV|L>!DRf3Mo4lHDyPKlfl7wtzTHxWT+52a=#BK3>jGAVD_w;t
znFpnm-?5RI{%uIk!X&X6{8xQFA}I9~b{QcUm_Hlv5t+C?lCf>La|85)WF!2Tk3Kya
zU%qd47RKRSeR$)Y?HJ*~<BlK+d^qB@_^l>;Ovnt$zb*^SN~=yc?++Tfj6SFidRQW@
zYn9-<6TQ!}f+cj`jK$*zGMo5bMx(@6+`PKuMd%L*bua{L_^FmS@jqkK+8wua9KF;X
z?>SUg40^l=w}%t&o!u<Z-JY?~AdMam#S(4of8cX>;;$;_ao@+bMn3AtcJEq?f}TJw
zhi$`K78@Ss*0)-Mu~0ISO}wY@SCM<8taFzuKH~MjfgV#ztQc!t%wcHNu?Uou>L;gX
zKI&B^nLiO;9yXKRyG!jfPXZ@6dHH|ePGzeYd&_@OOH)B36DH<$Sm{Y-(Ko8nd1Et0
zA5F*!4=V36)Q>bDw?$zH-$2B~#OCU3@%!S);sCEi?0tnh;-N@;-#wnMfPb*6%*M2%
zxbSx@GY(i!Lm<#FFrfBxz%9Aa0s7z#qK@<_<)wFERdf&;wQ@jy$(d}zPoav0Y%fJ}
z`U+wJH?-M5lj99yzPsjxe>tA2nZ`W4b|=`X2_b8DF}Meh{ho_ofB%a$IscWbG~2Dv
zb!m1{B3v}G02836Se!i;QEt9aARwzS((@C?k6xDk0>Q{jp4RVf7sF1^4-)AJcP9y$
zo9FvGzS^UC*b4u1F!(YgrIB0zsj8Wvr}yTo&wgUPqZ}n^4H`u0&ys5BV=YR{0RffA
z`f_Kbu6-(xi7>jo0Fsp%fuKw3U3Zk#r3%%%8!G}~g64tj^ducA7Dah;aXcKH;F#CE
z8*81xR*Us4ke7n%yQ}RY7GoJP#hN9>L%?v?r1vx44X7@^w!R(+NJOKF94SN$jQ*#`
z`*ZD-V(o_GiP<9ca6A13Y5>+lK>)ujzj+0*z?ec()D&Gru9R*r-xvSIpo;_FTfA~V
zV|Ad1oOW0|ynu%|6r|hy)Yk$PXCi-nl-lOo+}ynBw(&7P`(M_4@w6Zm8I$mbaJ<ZN
zm<Y`sgitt#9UJVZ(!L$DZ|uHvJ2#Jip?6XFYe83COgVOzOB)t3&_9uoQ<7hylAsep
z)lIHiPg%Yi)L<>JLlO4AwDj>``{3eP%UwMEA<lMZQ=wI)SCx^f3RHK#xxe250U9|6
z2X-~{rfBxSdFX$@_C}-TRG}&rc){FX6_G*PsKG<vgO{y&IXQ7OOSGg?SU*&{9qMs7
z7=uY?a&nTmyt$kFc5Hn>8(Ie*_n#CbKx;OAB<IiKAC~0Ja(jJpdh?k~zTmu4W>kAt
zr9x!b{1}i7UYtEdfe3~D5<T01ujNNukXdMFb9=gr+rJF4m3y1ioU>R&_9#$ON}q&R
z+}QXQ76CzkCvO^frN~D_MKRT*(vYJdAyEv!++}ulcCiZ(Y(PZa+<0D0w+;Ot@#2K8
z2(&5;VxVB)aTj+8IW3HU53Kty7Q7KB?CLhc)P8l*D-MphcO$y?A?#M`KK1Fp<6Ha1
zk8cS|=VR$|xT^6{`&J+j=TUeoY6e3p%~Zi}fy?1TProuSQFI1${Pwv}C|KFC^%x)n
z#x||E`NNY~>}@WRm>fdDC4c&HVo>9Cj}VSIw}y|1yms$PvRNNDH)dmM`7KUnYy;bM
z78IjwE|>29T~I7U<iQJ45q%KIYvbB+U2;toJ6A<vdi&+N^XCrbrFP3TIQDibV0I<r
zX`2hsXvVG}jr?pZ*OG#b*AS=oEh`8Sn_rs$FIj$-Y6HcW)71#!^S-m(BcS~0f8BpH
zT7`0q_7`(AHrigsF5A|()##-5*#IrB5Ch~U6Xr*zMb7wKy9q+3QL6eqVL$yH=zVac
z7lgNrGmx%{y;N<GtAkc%<W<SRE9PDG!AYQAKIQlQWfyA+AS3|f7EQ)Tdt?3vF5tNz
zn%z?QoN1+_2?FDQ>v`;@;x`UBpvkzMoh~6>v@WnWVt$=4mPQ_~wo2->OE{2i`Sz#~
zV*B^nNd8rASoydoI@85xRI+x$cyoW9k%`LGqeJQ#(KV%HhtJYlv4q`sb&eo88Fc@>
zP1!xnFbl&@>vfAywAD;@2FQAufT#ni(zdsnlU_{d(?98IAqO;koBZQI>@pR_3_-#%
z;rj!U^Qj_r1khPzWj~>g+WyCZOO`W2iN0XqJtKU=!Wqn8Q&R_gZP+L&q4n$SnoLQ9
zJLB6w6pAkrBpla@i!46sQjgI==~GhMbCX-~>THOLHfa`S`6l!dv?i!C%R`S8Rfrvn
z;FCVpWS#q9kGP=`eLxvl_^x7yB&$GbSj`U?<kU0td&0v)6c*ma;d3a@LWdS$Cj{z<
zG<$d5;h`YOVD(de{7IIPDNKOFqg8q$<Ox;d3}jn%@6Sxcyu4ly=PCE9<{)XRs9**K
z1s#2_0NkmpoSYc2n_sA{ddB<Zd+!Fez7dG7rL+*M|A^`SvYfd&o%c;nZ~&6l*fwnZ
zL=hAm%<gru+kCYH#4v?w`9mMhRq2fa4$$OQ)h@s16{+p6CUxc+K|*OY7T&{*A84X)
za|tSp@V$<AzQ=Z1+0343fN@dmutORcd>>tUF$URoYkLfetu!8p!&M#N30zS6gS8m9
zbwzBc=eRd@l_jSt;s>w$66e-VxltIWWzp21)k+GNC_ZKk^wfWiaUPCa_)f9vwsQCu
zB+ZZPnJw)|(&wtrWGh7wL`GL5f8N)1&WZh~{FLM+zO9kT*RVNIJ*5Pvn|bGlx51Zn
z-(_towm_lsn7hBZxT3CGkxLN6u1Qu$qtxaIu6KG%PGkYH_8-0B+U{vsU_2-q;3Mtj
zb3RB5+7*{AbY0@Fe5C3J#n+wi{NLR>5(~D*%r)#0_}!Vo=(%IabZgbEk!{2!hSZu2
zudv7Dd?M5R=s_fZE^3GG6eG6o)C>NxIqMp03<N4AASl~h4=3wGVQUEhNOy-xmC=jn
zYQN~`S?|_tg`rG^LF);y{m%iiq?7aW?(u91sJTn!pGrTvLXdFAt4w9WlL}wT7=Y^Y
zDQt#)02V%{vjdA&m_bE9hR6d1fZbYUdQcF*`$JwIP`du+>HhfmF>K^nG}2b(;oq<N
zc*aNQK?h`=$%qHD!Ev~EgV4jN?#jOzXK>!+M?1?7Q%FIe#d^h616UT7vY)$uPt-`0
z*tI)#E`PvAJVJpE@?kgKrVi1-=*cGe`NlMTS>9;9cJ*ZNyEePq%%>5e%cL~#LFEjI
zwuu^#ucLx7n#pO)7Ye___fri0Isqa*QKDVpV>$**@CBb;qk4lt*E2K6yD@1w9~FQ=
z(td}frV_L~Ki%Kr<O*i^KY1Q3Xl9WNc|ZPNRP<Ww^-A~la7y;H%>-D5m<`*ACBje{
z%Jkuw!y&_1qO<7ZJP4)z5CVwrYw~k%(WVbx_W0sIZQ+zF{1>0g$~?TcgAk%T&l|EF
zjtg!Kf0DjnV~vpZp_SCzf7BW!_(9#xCMQR`4n~79mjpPjNRf_3KuYx?^t(#0Vb$}~
z#p!iWcthZnDqQG1OTtD4ZL;<1XEhs~V)-P-<%yme(D=n)2|bBu9UL5@3D|=e!+r?3
zuT(8tW_ZE_!}E88{QsbJhG1pI{Kd{PVceSWAviid^Q7xjR<<48{{}hi)yW&Rot#SN
z{MQ8eT}#7XiDkd_iV}um2B=)DVHU4N`5lH0S7Fd@yOQZ0CyEgRcCyuUP#FQQFJgvA
zzKGVS?r}jza<r}GX8c#{po!stI~LpZxg#CT4DbUqWR%3Yf;Tr}dxtR*w(?+=!W$j_
zoFHdXaTz6XJ1A^ikfF(YG&#Ml(Y5=iDM{VRP(P)a#-8FT=`zGmR3;Db9Q>4MS>02q
z5pTFPb_s*StimI(a_9~)3%T^PrRHcczcYtctC81nCbor)Ne9#-eCm=9<V{DOwu}@k
zP_F$K0x!#I((%^vNZMupEh(AHevDWY$`hpK28VY8fEo?1u$ID>wdU!jQY&oP5)=|-
zs>f{Zsf0?0SPdT|KP&WD%ZZb=yO$+FTN8@LKmo3U@O7Yx_!#aZFOyoP1C7Io4mT2*
zETt|Cf3n+e`2ekKz|5)k!*>Vw^(F?Glbaqtoy*?8L3a_UkuIsEuEGTax4x!L*_KxJ
zE3Gks({{ZgX>se>Vu$0VpS+2O(Js<?;X9`pvmFJRC$3j6Cq7QAB(?SK1xqeGJK5u|
zIJqms1|f^7snMc;XpW_&=q%hj-Z?r#gvCR5@K+vrIK-Pm$LL=Fzz+Ad$Yk#Fp9mu2
zsYJ~v8vAX@#9V4U;`5`M-M5Rn>w)k}h8_F|%zNF)p|Tr07+fi_Odvog(Ej@15*$ui
zG2#nPR0i)~5z|%YeB>;L(1V;5RTY#!7I<*)ZzOyS**pH#ECDUnwB!G}!KC|qY^~Mr
z%gyzq;mcubmiXzA<+JpUg6V8}<Vkf7c0VnO<1TTgz<VCj?l#5#%9Aql2*A#=`P@*K
zr?){tD)r>u=8AluX9!NO)|N7<r>yKS!g<bq(7idy4?mClro7KTo&A2LIHfG)@P~jK
z+-gfJwyB5@_HkKi$foxwISo6BB9O`$6^fK+#B_t9td_&C0K=Z`#H}0E*&;1*=7Y@q
z=nP>vI{G52QqGr|8a=1qfTfzt&*(|;CGl|OD?hZDR2N+bO29Ix=-5%;`!}lndxURV
zEQJsQPL(SDc%?mwhsV5c8V~D&ZVu05un*RXnD3cTsR4c0{)E9-h)TPry|;Ii!VD?o
z;c5ESdwy56xVYosurk}1&<h05%xN{G!#f{E-NKNtw}%YFB9Nv(RI<YjeGu=(4b5+X
zFPg*<?XVO*tMM^sV1S_*ijR!e_#P(v2kU;pg3>M~<IPxA{IB8-pF%`?+;xehZbW|u
zH8!cx4Ar03NbQXL#4&e|wU}NEOxX+x^c55z9T@3a!ruPz@GZRQE^pL<k@TR2lVVD}
z-{u*~yrQ;{yy#kVe(H!ZV7<D^p;UdlKEEAZA6;p<c{RE*t)RL<FYP6w>RWK37-EQd
zYLEbs2BQ4sUvaHPN7E?`hMfIt1WNhit*uWL^H<b19NC&b<w&KQL%TAcr7qz$D=j~8
znPB|Twk|lrEwDU~^EU=BEW)#DRbvY-E1Y>$fC(F4;=ewWqq!*fyyA#GA>b5DrGA}u
zZJ?&t%^~`(P#$L3ufvHrp^YlF9?3|^^O^$?8zU2cW*yJ9h)8X;F}zw|iJq1ZKz9a*
zIb`wDj`^d5T3PnE=yrVT8oun|tmK?5uMOHrbspA<v|UciL#9fjE4{K)&o_A8r#zal
z%j)fZz7<b2kgrTUg%D6bkG&u!S>h+XW6fF91F3JT(_UzyL?*$Om|dY36fcb9AfPK~
z&Ku1Xc>>!_iX3Imlqq-K4YpNj!_5<H2R8oTcV+d-7T)Fy3&A1S2+8LN)b@%UZ^xHg
zu@HxZ1TfO2oNQi^?yXFLBrW0)+^P1*P2=_*;`02OXBW9;+qQWq=UBqHxF{Dn-)$^L
z;ZN3-^$$lu;#Sd(a=s`dH*cs{i;Vba47F(LR6|%rDOv>Insbih+`T~oyX`p@w$bp<
zlUftPTIuZ1i1r#hKQWRrPO>@p))mcjpEiI-x8)b3T5cZezJ{HE_@r3>;bv6-PBeVP
zBq5<1az;$1-%4;K+jU>w%#SzMCkFl1qaNP649{;|pFK?R`SGsf1*FLwUi&Q2`?WK=
zs;b3F_ML4`@v3H06*E`3f5AzhQ#+RMR9ChCw4YD^{AQuz^V!CR0@J=C90dE4f|={e
z|Iv}4HB2%~clHx8n@#Fq2@6xWsc4MU3lk}i$EkC-6L03wVfndPfC@9w+t1LO0Fb27
zA7}br8tcgWmC_@gQAg@G<>qFlYd9boSupd3v1o=Hbf$(lxL-??(_cT-|Hbq{lNKad
z0f}bt8QaOP|C4mrpAGY`tY~glU&qq-a~BJQeqHAyTV{gKDPmq!A%T2DikON*9Y=e9
zqR&v6!e?%xuO>r`QE)(3So4aXlB_O9#vW#2@$b^gCaS7LQhwJ=YGft1-s{YypyWBd
zacr4hdr6`?d-3pGRl12q9Svc+1H6bIx<BhNBUxyVRG53NtR`3rq(q)#vXyK5nacQ0
zr^|zIs{a~Y#=JF`>cpS!VOT^u!W1#{Aa^CIBavC;1~?#Qwt56RO+#JL3FX!dIroj^
z>rovBO#O(Kb*q6xaRYBS4&oRbW9@;m>J59?&(zrVOTH*>>$QfbgA0QM_os*>ULVE8
zct$_*ZS5>Ao05x<E%m2fLuS<DFFru*ss3xPS#W%D=Ybm3(mGz_NAe=5Xsn3jbHR#q
zWY~2=P*;H>1FbAwxh42Iv<aM4imDvle)^*{hYR;StFJ?k2%G<Vi0@xE@9rB9H4%6B
zd~qsT4f9YZ5@t)PtRgsqyXIzIurAOJ+w@*>;;RUCV6YUwA{!DX$9y}sf174J%5FLk
z6282ggd8)jl0;Kf0n=v?|F8n5pyRKs*|;DtCbL_?EcyN2F2ZLFAqidPlYCVQ8`NsB
z)LR!;BLyOvr)AM~Ev82LScu<Ks1tz#7TwnQ9VOT6s8!-N-X50{=`v?>%h(m5e+Oat
zBJrDaFGZzc-5y5WWO;*wxktM9xo!WN%5VX&ULUQVA}uIRQ>mCWnO-%vMhqjKD>?L0
zmIT+lqJvN^O#OB559xX0x9ViKP+IMd016r|!=?Z6D&KcA6uDEpmcrX(t%5sz!qy7*
z`=wRb*ZVOsIb}LvYf(R9Z>kaoyjwVWQIpxp5)M#2+W#JnBEoKe-<kqNL7HOk>VmOe
zZ5+QW+}GTIAny8@eR6~eTC)p~k>-kjwT<c}WevulPh8v`V1t}~msapXK~_Af;?le+
zF_%`i^yzC0kyb^GPo3ESe*N00NF8DY_00F*<0@}*5+dATTNN+qn^qm%UH_kpthUr3
z#|Km$3#}iOYsiL#?X%7i<aUo?diQWN;VT=hAn7PeaJV4+nS!y~8L&&_O^P{*$T@qF
zip<DMc<NwTdx<j}G4NbO^DomEnKEvF@>2R@9r6=tPm!kN`mhc=lNT?^g2F`;d{TT*
z@NM_RI5_<x%64#KrA7w2-I>n~%%?5+_%5H0cG6C7>AFvif3A2qF6#A1mtS3NToi0v
zW^c^YsvaY_3%A9Kfkf=m0{zB)$VG6@NR2ED`j@!bZV-w)AFpU&JM0qf3wyK{4OB9v
z8z?G;=2GncSrBmEKcS)S{h2cyFq67%Vz2uxHt;0dtI}u?$GAcDX6e7Fmzz$>K<52>
zMz7go3@WTyRdUS6SWQFwI(_;F832Uhf-M97kolWGufQ?un+w<fY5RxJ#q1>WhYHjG
zFtx@C-PTVCBYdw=GpG-I<v*vYG<{8+h3Jsqw(cAOR(t#VviI1An;UHymlb1MEo_k5
z-wKf&6^0%RMSgC;GBM(sJU*}vd|y!cB=ting11n|v$yxU<||C{DYscBlF`aD6o+uL
ztv{DWw6IC{_eq7p9^u-svpPysnBwD@&$pIi!#{&Lurt*8-j$W)oPEQ+%(W%253WY~
z@oHPqoHjbNP{&U%r&LqIiaUZ!UPAPazG*IPh`~OQ^NtDMHsG&=NPs)(UgY3qv(d`v
zBP1aG4PzTwW=2%3y6k0K4fCnvT1;pm<`~pG{@F^pN0{v4>+MHLRPwz+>AkGN@Zibz
zPk%RKj%98MftXTiS_U3^E96f}<XM7APj?^5Y8){>s0e*rDqhivMQ}awCw1K3E88wa
zI9gj@T2;?fbVmO!LgeZwNP9f<1eFgx_<1(o)&Bje=wHD%G=vGWD40CR&|;^|d>*)j
zw451x;|u@KgzkL<z28ubwmQ@$9*F+}lP4c=8;zjGRIv#%KEscV|9PXK2R)CuSIwid
zuV1-HKjNnQ1G@8ZKp7!t-JZ)xr}^*8==fw<bMiYs05&>}4|Iv5HxVrD&GAY6aHI$R
z0mRThW_7G$FeGx1VF$+vqjfu&>5PZ<;Ay<4TX{_ukafnyIWC~T+CmNGW8?konixkZ
z+V|l%k(-kST`+ltyVw2}Yj`a&DJZs9o4o#--W#rKQdA+2kSin!y6QtAO+BMa&s9e9
z+rBc2p#&{tEff8qKmUa)*QeeqpBT5a2&=Z$;PthV;^r$adR7URv(ac>jsjR#r8aHQ
z_UY?!v~bh)&GSg0R|g-l?Q&P{byTlWOkO9U`)<8UB^)i|II`#25C~iH+Y+)l)?<Pz
zMw5<#0+S=J))tQqp$<bjzZ0C?Y0>VTj)0G#UsbCet$ASQtfhsz$kvjn=mHbsV#wzx
zYz&3F=7F|pBwa^EW5rCc)FR8x67xTQ8xQXj$7v)@*dc)QVQY^i&_N)10c`J=90S*$
z#8d-f1eCKA+VOwYSNs=_TyvMS&7rochW8sfEysd-c)-XFhp^IoBzRkkdc-ltNbU!`
zMI=<MYu2eR$@lopag7zI!TWZ|!)>t!YtT10$iiI!N&^mD(0$ApzJ2)b0;7kT<^SY4
zZGW%f^bcPlvmx1%k@kcPS(mC*`-RXrLhMdsj1-?RjQ9|(g0fFZ5g4{0d0EQ=W6c5Y
zA4fIwTaY`D2akiRcN;}jC<fVetM1qMG|)~Z(z1%d5kBY`=hqAL8px+oU(rpZZa&IJ
zFEGC%XJJ9}^Yd%;_=OzgGfhM~gf6D-lB>OnRJ}tldv_IY#&+K(r~t=#2*=S5RZ2IF
z=G_iGe=kKp^ICLLR<y}$woT0q?G>X2YLav!H<tGSUyo^m+-HRVW+@?qZ|^GP6||?S
z<|pm;4<|L!?k-G!iEq^upXcjN-%hgZ*K$#^bmts77tCkL4|9|p^M=dTd`B!nLtzi2
z72grd8?@*;>yn%^FEqD~pZ*e%#g26wQB9OnYDdfErlI?lKhrLI2%8^Sq0^ag?Ksjf
zCAxnv5BB2uQKmmS(X4-j*U#nqFJUj#2(F`3sx#G1@n}w=E1z34CgV#JS}vYfl$oK3
z65@G*<D;?`Z9bLQ>t&@a=19NMlj0_?R1Vc-u8XQQUQe<6iE~PaI({iU5lCE#u63Xo
z!nSr1_V#THT+wm!c{NJh8XfszMRjMB7-o_uEWjIez_BW&j)Sw_l10MCh7lMCG%dKo
znS>T|u^+>!^##$?203|?>x}Y4P!p=iwuagzkYnMY+n_Ff9Nup4#|y$QJ{OfCGgvX@
zt@%UR#{dx1upB0;vLdTA*j0t2jYUcjz0d~r-}78eNKOr$qe_{`l2SCz{)FEXQe0Zu
z2PvuuqLB<(-bbQwM(W@o-y;ipZ;h1~ParF%57oqx7+rDv2I~IRxX9K~GZx~~=t0wK
zC<y1TD@SJ#ci*Qu6qHr#(~l5=MKsYCbUqUL*}w~HqlRBWy)vSMH^>2K3Dkk+%<vq-
z3>;AZ&}q)`1M(#%-9z8+>B~~kk!$L~6OcKd|3-v8T3@&{>!Ds2zh?xCbm5BdD@54x
z^(hhjGZtLfUZ9NVjsKa=@6V5$<cmm_C+@`{r;bpa&BXPqAl~ISx%EHsgxbmie`qtm
zd`5-v+%FVxWbo8T%x!286AUuQ8j6Pq!r&a)_*4M(U{eMIs*$zP{J$)-(a>Hu1x+;$
zVQ5n<{jlgo<qn&b<M?C=t1^1Dq{uUIsQAGtVP#OveoAwGs-2*ynjxh8v$lj3fRBDL
z))_E<9oIDfHf=pmd&z0aQ_|lny<40b3f|AdB4Yg5icz$=J|a_))COO;-$8U^e(-h9
zYoD0*@r({aUQ_<-574v9tJ8cj9Rd<F7waCGH1~%AH>3|lLVh9WLqp%<##Q7(q$4L)
zz_!9IYD!u+;&s6pgNCo94yF96+4_iO?nBnw$K=90M2|}~Gmx^8Nqmz3cjJ3GH<v*m
z;EULnQH|UFdr{{Enw@pjYB-%Jc<COKs2DkV#`f)n-=C~gVrbo2%mf!UzanIvJ5<>O
zgf)Rj^xMgR=&_DT5ivhvhGZB>yqW)iL3cLN0z%oCH-wms8ccr*Gx9psTH;kSOA=&o
zL1(>Rn0Oso81RI;|8*7O3HL&aSy$ctJAAW~%5L`GhIk2V;aEkh(gSHsDVPVJ1NkVh
z>q}RU%5o02jb{GE3z8yiWo?`fcE&$gh$XnFs68X-i*wFxyzcmZX7~mq^5tNDTq6=l
z#B~s~VDPVAL-C=0-bNfLdJg5gY&V)Yzn+l^%t~js?KT`A;8^jg{V!Nuntiyu7X!1G
z#8)M>rR5~2$eXW6V22khp5D!Br<rBO1_!Y^-xON%&a+KEBa;neBER)VPv(jqq4E@l
zk-LKBJcO!F!EcGLA>#RCVHM;ik>H!H6Du||6AYS<D?=HE8BXiZYNbVC0|iPhMVGi$
z1Uvmlo^pzMgrYZ`{9SH=BQia2C?uvZ?<r_?A0u8z2;p;L<w!fIr*LCszbOQ96XgXe
zVQiR=4IRwf*KGAdOm0cx(NBzKL{&mkVe0GesJdr9&Hij#?NHYu7Q&0lli@to8ScAr
z`b%pzt(`(6(fcXPkz!eFK!shBNHckXZ-a!1(g(GwTPeJHLd{sMu<ax?H@j;@wkH*c
zrx;rh@nXXkW?q7V(1tG&;W1d*b{^dm@tK+&A?VYVj39^tRyQ6Juv1s`mqL<D$6fAP
z*|T4Nym9;cCl&WLTS(t6mXXZdS2S#o!X3&}Vr<FyJwOPcARS&)A5n{K?c3?2TcIG#
zI~bR?%qSzZzn>h2<x)4(I$dlbiNwuqlC}@{f<Zi@GYtq3D;LUv(yWadt9gUnOFhAB
z4g43mL!*P7!brzAs+938bCw%;WR%bxU_`(dlK&1mOZ4ns<1uFoPELOq{9UA9E!&Mk
zC9Jc}LtfA`iE;y<9U@CZSS!t*qFY4D1RtId+8KA&NN$*1NaLEXq+tOmf7wShFv4Lx
zklXu!MTv>{zN@Q23xfUTDmeS-NWMwJ?lws#QL?f$DZVuW`rLzPz(DQfJ8kLOYW-{U
zy@jj~=+m-#CdU#@@XmMP;{?AXCbeKpc_4aL7l&)+Rv3SukxG+wQmeHo1<ny5J*T<Y
zM&mPqai<g-6Ab|=ZG?iZS2*$7YQkc6XAMfzzI5U-t`kLPIE8=baiwGECRrFF<l?$!
zZZu_UijRvV^4(HZ{G%ln5>1^QDKFm_U8=6>X+05!T86uI4M>-r{MobmFGOYI^IS_`
z7B?2v_Ypkuc6a~z9ym0(i$NLXUP$zimZdi<XIvx0h`vVo6fcZ6VhW+oob9Ymp)mBI
z@Wk6Po-a0eHwarp9A>wREE_9xZ9Wh{j3}{&Jg{H`P5^GnAlO`YS4OBt_4?!cL}EWP
z;n`N*jcPuGG1#Ip?-|0#x)#PwYC^#Q6<m_9bWZiy`M#jhIMDOTvuRG&!V7;msjzVn
zrLuNp`Nzy^-bXc(OUkc(6#mzb<Ye#L^`}MLV-=pk^niAULnsK>xh=APE163*bZcJ~
z$&WBAZPlOOkPgG&S;?7+BbZawsV4IDBH828oNoew@FW~%<}kOYq;Dt-jNgMXZ-!r~
z5N+K-NTw1ogIY3yh*Rm?{zUiELPv_Dn8}EEQ&F4FDPOI^uRD1LpS@;)J}F;@az7WF
zfd!{%aO2&kUGTfyTA|S?nZ0~OW4wHZoE5{nU^$%<6@Du5pS=;hKWblRb#<xm^Zt13
zzFXARKkd4pAP~%E)B0^t!uk&+34^B6uofCx?n1)k*CL>kg>e!NkZzU+rLz&437I(^
zwq+hM_aB8rO3Pph=ICS!F8BuIi9a9YsY2}HxjJRrrtz%@zZ!9qg-PRpCVtM6pH@di
ziV4bG4UgY`quJW~#Wb?FtQPLAzc*#<>Tc-bxAwEuVWG9MvXCd^ui0N}=Ug_OeSDu>
zOB?TygaytyVyTZq;#eVLGhVuyN8*2_e7sM+UtUWiO}fRtxQXbWq3xEupp%4J#v5q!
z-{FHrcC7(!(TGR)<R<FN%U}=(PAQ!8!yTo(<eunITcX}X!^|EZ82d={hPWFwIEcU2
zU1qUgL78gNzmi#mEwM&m)@7oQBl7Ty3uo}gQ^Q68c9;vYa>P(yt?8%-@eNkSD5)>V
zLP9b`RXTij>tc>QPzJv#V5Qs%CsfZ+_ItHWJv&*c@3HTiQ?Z&8_e~_C-R_|xKQ*3m
zSKEIp+|$I5@%f%)BLX%EQ56l{#q=H}62SBV%oi26-iOA<*)P&J#+}MUZOB0UgGdA2
zTseMAVUaxkq()T=OFDi)-yA+9D>YZtI+uCg76O4cb--Ogt50<!XK;MG@o`2*+(*RB
z@)-&VyG4jhqHf&2Q1g;m9NIr<V*E1WXd;R0WDgedHtCo8<#*jdF}np3NWiNn%8;(d
zh<Ur-WCcsr<$er%iO;t_h_KK<b>F(;bp%v#X1KX)521-mxZ;mQcZwgZsu?JHu4te#
zKR+Ya(J9#<;`27tNy8-5i_X3puZJ$3Fq%=g`s(+qAmH-d$N8W$rwqKHOKPsrt1_Ch
z$Ei#cK6Kq#jp@YSP9qu0S3yep2t5Dh#VZz$2W^BtCvG`j`73a*9p7^Z3VC(^nL{xk
z{i2eJG+#g^J9>j<JzsLJVC&Q`Jya$GAN<Z<E<sqsXGLR0j|Cd_>TrPC85Ok}j_-4B
zEHmppGv+u9cZ*Gz%7FJ!7Vd+9GE6~|{W$(<=_F2@7Ht=uG+oKPB}FYt9xq;gLsl)>
z(l2t#-$O;sj&;0vMR*$rDEaM_Vdi}pixcj8FfFSEycwzIC=l{iBs_`m$rqCi$xOK)
zSYP5|Ib4r#J?gZUZt3kYDn#(JV>W<(-#U*Bm*#=8?yaP7j<8c``o+6n?hcHRe;gut
zj5aR{7>n4xN)Tnn;pcXB;ob%Pw^rnWy{xPKP3R59p<8Dx;<TloJt0<o*rdX;H7Xd7
zD#Xm@&=9x;|MD2|(N~ZFvj_Yy`tYbi2is0O0xgu=$P-cJ@A0@2p$hWmZ6`F^ZQDzS
z%$JlrNwh!KcWtLB#;0Gw+0CS#aMeoG4H;6lESOKB&xgpbjKQe%1FyTbUx2FoslPkU
zUzEHEj1KSC)Q;migs3h5u8rT?TIp~j)&)WTC;M+RUl(8k5gOSf?Gy$Pa3PYW_Jys@
z-pN919iH%^!D7DGmR)$$u_;$sO4b349l}NfWU$yU2SK6?!9p0>;;DJSwn^HqXRkw$
zV7S^c$yeTm?Q=r(RxQRS?lvlu@@W~Lv->x?qg{n4GFBZfwZ(q$F(n5f;caq}`z%Oa
zO`_@+s=MB`^lsXQx$mQ&-hDEBW1s&R7h9x^I8iF9qL+TR6SOS8&Q6gH0b6()D;LG}
z51wezf$iM{H$YaL0fCh5{27OP`tDz}c|M;aKuA?j^*P}RonSa@ixW=eV{m>OQeSEO
z<4U-OH5_&3^So`MP^Vpkk%I4ZQiG1TQ+(<v9&3*b<zGFP_sTwS-wLdD>!#O=8lvWc
zefzRM<`<0*XS)|Ekkj*N<ET5{-Lce`lZ45yWc*Lqa`tcMbvEz*o84_;kg!<9A_5N3
z0kI?6b7}GkE!op0B;U;yH4)a|eswW2f@>bvYmSXHuh`m0Qn*K~Ue$P$StNR=QQ1=x
zaQ(KqP2MuI@C^+Nvm+#HNlm-+z<a5B>l@o<0?lBjq12EN1w8}dI4-ugqr4yl_wr{o
z1(hw|hVvozJ{(J6g$({c0+gn&OwQ*qM4cqFJhSIe+ag1%exJy~xN&-{UyS+VMbgSK
zq!u(dzbJ|5G0HxuC*_)n>C1-av*dXWHQS;Q)JoM7O8FK+L}d<c)x8*4RA=OS#uEm(
zMhUE0fq~YH*bB($&2;J|iM473WqEjfyVR6+IxW+E`qVAN&XJ6$qXgC|A^gLtd?hL~
z-v{%^)7-_ZTAB1;Y-(x!*Qkynwr09HoRYp~BmAQT&Us2vsPVG9L4`Mdi6RM{D;jyL
z*fgaZA;41SEQPYQsPS0w!>R*H{rbE+yy-xm-_7H{!z;-Rfe8kCLbzjsL<-PVp-cbz
z%C@MY@tb_krb=>lqn5ybLxUpUx8tJ_I^Q1P856k0hs$irY9#cnqyjn%DHyjF#)u&x
zLH3p9%)fwg-P4~iG!C-WY!K0^51V_ckyUdCq{@!g&W=ppY+XKv0qs?sjNWLH<`sdJ
zRqv>Gh`Y9@$l}v$+9h3o>Z6SCx7Kyaau{lCpH9zfBYpkd6Qcgf&~bl6aVbJU?5CUS
zx~D-DGgEc}SjUuVz=@ZaAXXqP*5#+Oj^NiHax@wq5)u;L_}qNDxx4F9;l=ERKyZWP
zB*ipVSIKf^;-sae`$&ejwzk%`Qw*hzjL2JBTVIIXp8o!lv(ooX*dmV?I0inaQUKxA
z)*KuCAu#dF)s_GieyT(pBMP6*ZM&=q0z>VqUs);@;FQ*ktMCI=Gz|B|Gg9BI35O-7
zUsQJCSMlt*5&{Pe&gV<<$bW1M-~Q&lb@mo~YMMcw;Ps*uHs!OEf5qtSBC*IAHD2=<
zs}}7M%h<rTX}^YESC)N|E~v9F%q&ACclqR0+HG$&v*Xd{bQ#@>i(|!_u2$nE)><pu
zhQJtjJR`Zg_m(B@BToZ+WXJQrigxqWaId1^fT?R2@CU9m8%!`6ZaEub(rNfeqE-GL
zNkl{>noNWgfM9R04(7jR_FHjnMA98Nya#r#<3;LpR$N3c??XPFZb%894NwvAekAt0
z-3Cs9^=L2XNU=syP@C_qAK#9#IX0n}^!mG8aDpq!W9Jz9j@`2i7qB1-Tv@gVR{D^c
zT(j32x@niytqh7P**@53f2aB5`XP{+^s;zk=UrTL996qrLQ2JyX8RONIdX-O?3P|H
zq?E4(Yq)<Tm=LlGR;^&Yg;D)Y^(8%OgS%E_zTYyJ=T&s})@qJpDvS})HzuC)>S+;$
z!MC-3;<0ZHZVgi6$Z1pd1`fluzUUQ%W_9*K2ByxHT95$Zv|Ka^gSMPhyZvn|7UM5j
z6!m;oOmHCgSgW{(N+ZsauI7f=vKXoqDo0W8KX7*g1kBE23oETV@rj9%Vy<ax&u$;x
z<^(PDY!)NOJ_pqcuMt}oGw;OWHAQVt&5)b-i`4>Bn$(l78?ESHE;lSlQJTpTg3xa3
zimGBcz_tvxkOzcbDm>6;g#?p&0b@LYi}GT*VqWq*qr^?oVP!VmY;zb4vk@c^%X)DI
zf`o7{jG-XF6$5u=qs_jU|Jz+TmDhpv#a(&6#xmDN^RiwYB#_$fj|7-?t6_z_7ebe#
zUa^RKc)YzjUX4R1;V&GjwVTI&=?)I<kI5q0dX+{{HnZh1%EGs>5KQ30yxi<=I-1Vc
zt5gV}(RZ|8B@7|tR1$#*r@h7$!emoML=lfR-%^ECv&*(NXsy1ni5ItE#jnCC_)leM
z+Xg$tKQ<{S{Jj3lVvVw1VvQ2)PL|5~EWIDIll|tth_}_!oj?danEiDEc3VL2)|^8{
zhc>3lZTrCJLR6YIunKh=2q%7nWr)ky)L?R2_1tY|GVo42Wz38R(%`uK3y1sB00JRy
z<U#?1V=cELRPQcDh4T~fB=hVi7E=Thb?wgLx#i6oJSOz-$=Q*sriFi}U%AFSR*F!}
znm}{hP5BW@$6%D3rFRZC2FLo=<N3@bEe*!gEJ8bn<w6zr<~(8Qm+fCiMzo`*B>|2!
zV(=?S@P3<C#^=N_Jdq><CvcG-Ywz}{C!IfkPEpMJV#zY#(}U0Zt$>wDKVnS#OZ9pC
zazx~&*JiJD89SSogP8AB$dF_--uk>$3>hbm^%N@=_vlokiaB3@9IxR-6(bMX>4BOx
zHc0dQ!Sw$$Zr$Tfm?RA+s}TW3&849sEIloQ42LvEeO7^DqSm9I9P)h$Yg6VbH1)y>
zAt$e;>%jVa<pGJTG(BS7;i`KnC9>msi{K;%MKk%=YKvplUq9W%+n&!!*sH$RB<I)H
z?y@yH%<pn1Dp&pPW0-4zg(-Xh4IQ08-fW?2u<za8&)#}&Fi-M$oUA=$HoF}T(JFr5
zir=|EZntb}YwMk1ciq>3&+0PZww*DHW_LT?=oR>jf{biZRaF(u-dAqeJ_=~}KHvm9
zYRB{1G`b3CAmX<Rlru*OOzqD9{-)X2F3~ERYxBK7s|X2!?ISSNE`RSRi-CsbN<W(`
zg8_bFQPb38$_`w?Evj?~OrsAM8{$|#{7MAmRxEqp-0w7A-Q{1d$2xw%!xLN)7^eTd
zy4HNZft}LW<LWSbd%hF(_`{GWaRFKL{d?k|V3OZBb^q)6+}LO`ynE>dSZaa1@Q@H(
zeT(CjR-HB<zL_%p9TjC+*@)uU+FC9%OUv$Vi9<0i^C8@pJDb31QF(b}o0-x`ChhW$
zv9aUWYdz8dfqYdkf*z*p1dKVpVPazk0pIc<c6ce(_#Z!Fu2=oZj@zHx82wjLU5}Q&
zl{^W8Dw!=UEgE~k)LiCrAMS6q<!HL&jjeb^!|OnfKKUsFQa(PuHw36wt8GG*l$0F=
z!Si-uDJl5qWWqlE)fpLAUt|Bxlm*A!+0H4x_`iEy?l*c}zT}CQmwzC~5Gc%2^i6U{
zIJ%GkjJHrV7aq7=YZM$Nd;GuMp`FJ_7?J3d(mOf=VO}2P#olH*LRhC!K&O#P{{8K(
zW?{H~@;3Ihb^`T4HEP+_QJlnzSuQoWV&~Wx2KdvxSHJtid9bJdUEY3WvW%xL>Ty-Y
z={yUlsBj4Nq8;WmVg3*fZic*X!gV0gq8yjuG{oj?YtZ9r-tssVkdyp~XlPR6L8dnt
zCDWht@~A_?CM{wC=ldq@H$Y<@b@D&Q#c3z;x$fhFZy3sM+P8Mtu&On!eqm<h<0A;Z
z?%*^-peQ*eh_Wo{PeT~#=@G@mq)6JQfweFe0|P_E=g;D4JoXUCVuM3?4t+#K1o`lb
z@jw3$^u>Dn?zK+0b!R&}<`?lzEQ!G19RbfXYOkw<$QLA#%;yAZ{tEc{l1$dy&2OlL
z|Ic*-OX%w^D^E^72|k>3d#s1zpMX`*Xe>jBK*Ucl!)w3j0mtu!76tv`<sC?+Lq!ZI
zM^Mpr$LMx27g$(GA5FxK40zrVk#+Zt9;A!i378k7-;#>9&w!Q(uJ-FQWkIIj!Ia(|
zih_S~_pf5}V(-t3C`hYRCs5nKGqm{`6fRKzsYKHN1xF(hoo|b|xy#?9^9!9lxm+wd
z_ur>Qo#cWIA$ImJXs>yqJ-xj-4Gj%>fZ!xKBO~M4YbCO_MO`zRJ^9Cv-v(ZLG_No*
zI|PM<=Cj0tUk22<A=?p`!3slzAh_R7y?VRB3ooG(;KQw7Yo%(vQv6>t1R)Savh(s8
z0YAu>_Ftk)EQ2-p?>Pjn2}=S`h5vqynEwC&<5u7|6&e~E<C~N9lgrD{_I45JIMSHt
z=xBlD!T(Ri2K2COnK;tkO5<*oRxei%4-axdL1Mt!YEIWU?<m!NTqXjoak)R;4LH;f
zzTW22*3nducj<4j>=$YSJB>s^aRp7+_rF|_5~z#HAMdZ5&#s1W-D7AVKof%s(D%>@
zD@pM2(+L@}rv3UQaqF1vBqr^X0jju;KYwsKJ3BoN>t>DWUcvrZZgQr(eg6udu|)6;
zYz=b&Q2K@_26U={hAM_w@Sz+q3xMBP&6Iu{I*(%yb6@d900S>DJRE_NipufoKsQ|Q
z`phrMeThA`&SqLo$eYu0)aAA{iMyP17)-%vpd*NZ4JWl+*B2@o4c8MNvL(E0QVwPT
zQokGHnH(vUdLRV50uxFN7!Os(-C@gBBS0Re1MYtwxNFaWX-5Z0!F0gTIx~DeYCfLp
ziNu))JJfkF6V5A(JoX3*3eL57o}Zn+Z~PSK>E%_eZRnfygWvTtc=B=9TtxMtP=i|Y
z>|`ES-xqdomA`ClH$gGPd<k_{6XKdO8NGdAcAS6dC2TeG2SbZY>Py_oU?O0qrVarD
zr}Q6h9fMxxXHO50%8K@<g`@`Ug2X-@y)vztT5I)JgoJ}Rxw-RTQ0Z<DCCvk4`m=Lj
zejN;D1Xc|6F>`~;)3Z?^YD+b!uw3<j7J3<v-e8QSf-Vvj7e{w~JYN$I?(zyetST@9
zsv1`P()L{V-2kcmAP5@M3>-t+fz~+KoyfK82!JXD#?8zE0s<mqtu2Pzgzhn>zrS<O
z1G&||lLK=zv&6f{WZHc8WT1MWN)z_wzX#s=1dvxGBxS|nJI$9L1u=1o!DZMX2S9Li
zYyFzX&M1Mp>fda|S94%>o~rcI6s!Ux%2AP##*mj~?6dv9{1gKdA+L*p=iAF!LrcZ)
zT#f_hTVIu{!MiK}4jW^t3HpJl{feWwlrJVD<q`2PcrrBs0T2t0Z)bmijWpU!rLhFv
z(SUE_j1E{pGX|?iHa0fS&V4SYwMS-WdHoO0Xf?nn$^T@TuMDJr^T3HZ{ki71g(*<@
zm~&c;ke_3a@Fxm^tvR|i78aHrXkV~0;z}8VdG!GB>!bccG&G@vsPOf`=(=yNwbgK&
z#66nI^a^Pj7>vL7pgZcHHq}kt@QYjecYL2C2t0tmWrD#I0L44fGQl%M(oJ?;>wv0$
z2c!$kuTVhOKL10+Z4&}sMyqYUz4b}ozwcwNdx4+PT_K|2zhfO4&wS?os<-f{1OaPn
zMlO4kaG?4J%dKJ}&JtfT`1{=w7(!c^^uK`qF(M{L%E{?WXeq{<p{#1D!GY{Mw{2K_
zeEfqTK<}mW^oW!)1ou=7!N69{m&dy}T7K<)b>O&tm_%ezL#V2%if&3i%mMBy$~WWa
z$`|ZPq`<7ow{?1cE+Huy(%qPR@yIyVXiI$lqIv-;x`|><CLd5-1zmp<FJ_WJf%N_5
zvfhS{AKsV$l`rL4*Xe11z(%J`0_-9#yjmsVEg*<UNI<y<tlX=7Zk<Z?8%DD;x(o+A
zU+S??2naNb!`ZTyIOd&PUG>pr`UHV7D3NUb0A_QKgR1^YuS*+Lf;U+`*Bc+f_jh!3
zEd1Yc6F`mD_>U0-Jp5PJ^S`~(ATRM0kRxQ-FV?^L_U`6t(P5(1+x?|bN11+uTQB(1
z4Gybezb&YaPr))__HCmt?<93Qf0;p9Znfepy15Ul@*j<U!^apv!5f1ePAZ2v^2e2y
z|I^!*1~qks(K14<TPYPH4dAqhP$Mk_kVZu4AjqHy)3FVqSZLXoX9Nln6p0mDMFO%(
zLu~`4A|Tr&l&wH1k)2dPwmd{MY|0|3s5lXXo@f2jAN||RB=hp;-aGGp_nh<Hne%-~
z0E2;<<;eAje%spF`YH$aBC3;$?1w#bsj<GkzFk+%{-q513tdN|bf!Y|lYc?Y^B6?q
zV?KAd+<-e;OSy(>j~yvuNI7h6{8*!QJ(x$fR)@30;;-6H%W@KO<DYk??B8nphW4r(
zG1jmbq|%mZkPLg*1>sq49;P>T7YTxL&n%_J&JGkOpv{AkkrC^vR~g%A=g#-6tg=kE
z(dip2NkLYY_Ib~+xVVPvGMuE|5)U)VNQvyF`no9JL<8+0&<4nh%P#EdW@TqxKt(@N
z(pqeD?1+<Y_qeFDVYqA4!uD>AKR9D3iU@_o;wi_@w8wwHp5alxIpyF1yG<wQHT$M|
zmiZ7Fc>m*RCd!tXR{*lZ$<a~0l)W3p<0sAgD&7aWE#8ydJvtg%ve6YKvtSERg+OzR
zzg<@Tc@@L{A$En4K9aQ6gcBZaei~fTamt(jBAUX(^S=VZKMVfkREWTDd+UbcU6ie2
z2tLM)JC1vsfAY&QIb;^+5ZRTrOUFBFVOA{LTCmOTizfgUiqW$(GmjE{#5u*>KQ@+G
z{EXv400~w0w+U++jmC3U`wP8{X48gXPPr_Eupw0yh1afS<Uh#(8d9ge6%s|}?-}Ug
z;&O8|)hpsDhc?a4j~Y`BjmN;WEg&z=REG{;G+>3FeK^*5Ww65Mu0ps_6*kO){h0h_
z-TK9TxR%>P2a1|0m5+R~#fCTEfv<4w`J;(;Pq>}*n7)ZO#Dj^6i7U3T)f*}rm*^B=
z`oyaOzO6YD{*-0WCP%XB85L!vw~uEU)|;o6oSGWg*Vm^iET)-x%d$;9rHDw5tLx@v
z_&SBA-Sfym%&zE}X@Gqo^C<SANa`i~cvTC)YwVcY>K>N@M8_R+?as)-rgE$kt4T{Z
zE(OfV(FTRYq$JizUUkXDm;@Acz}FLQ5`we{G}o0wPLPN%Ic`ZnKm66sHjE;HmCn+B
zO|<{CkX;f`8PpTVWHJfF>tqCMjQr}rKj~0SOzZG_AK$W8xG6o*qjaM7q|)0u=%zkz
zvO|lvx)QtexW~RSFYnzYC4a4+I5F0W7&10CmOOY6T+O{>^ZHpdr4l$fJ6EDN)bxFY
zirc8CDNAJhr=F8VBl}T>kR&-zv5%UXnykM+a|_+7L$O6@6U|tc_Zt$HncgL6Tn<n(
z2kaU>JMa}Q0vJ>EAM8Kmr~i&05R5y?@otDoX9ng{W++Q{clYVJx$cpg6Uy+GD#P(|
zvA;l!`!NYZ-#nrD52;itm*rR<UgjOXe2d-<XSz84#dD^nrY5^CGQc`^(H}Y6qEGIg
zFj|RM&4-rslu~#=OHV&rAOQFU@lECaaPO8LOrg703|FETQ6<#b{U!*EkCtSXJ*-I|
zv9AUd4gGUZOI<RJ31oV2R_wkgU47QHCQeIx3%kUDDT_l8r3XayjXpZ*lI`sf*fcGz
z=9QHdVPCMnLZO(yp=sYRF&pC4Jm^;!+-JDBF9Q3eijDbQbK$!dUB4B*#DB!9`Z<uD
q-KVeq6ePW@c222V*8lL>xwh`n0<qX%QnlkXd|aH|9LpWPJoh&PyeN(U
literal 0
HcmV?d00001
diff --git a/QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/docs/_images/api_tunnel_raster.png b/QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/docs/_images/api_tunnel_raster.png
new file mode 100644
index 0000000000000000000000000000000000000000..6e7dd443aea7b12d93d3a55e2ff0dc5327d3d96f
GIT binary patch
literal 34588
zcmbTe1yodR+qZAfsfctd(k0y;f`ou{Naq03-62SWLpMWrN~eT$!we}(58dT|kN0!m
z@AtjW`+V<Of0wT9qGs>e*LCglcU;FwxQdc2HU<gCg9i_=-^fX+K6vm5`1ddy4F&j!
z5h(l?IPg15YdNdgn>)K1Ihs9CG;(&ZwRg6)GNy7hb9Az@x8r2xXXRj~vUGNKa1vl+
z1O4*_toDu;Y*WPh)W8oxcaYO|dhh_(2=VV>k!YdSg9oAEZ=}T4-P7T1Udj6Jzf_2x
zw>g$FI<iQh1`xb?@)PeZeLf7+N+L*9dMc(f=lM38^<&1hPrWi?AY~*eJBg_VLY<J%
zg0nR=_sLLy_h1^amo!ftZIOG*@u)Q3+tpX@UZ5(*wQcGa$JL)#ygY0Z@u-s7(6bq7
znqB6u?c?o;i^!#aO&$D10<F3y-|ZY34e|fI3QKBQ#K)dKW64Jxsf}|(5)ntKw{@|2
zz%lq!IDsnS_=ICZLLPCXd8H$Vj`-$YDNF{$@l*2OKP2Iuww%7(l1syw$c>h+ZrVtO
z;2eeLRt~(O1Kt3$-55@pot-sDrSz`4+p`cYy}8M{{YmG#SKSZIf0MxcMSh{=eQBTx
z77h+n+akj(;gw>|(Rx2D5E;{Uso7<O42(Fj<)5ayK7qRSZ8HQcI;Omf4nc@lsc7C|
zOcV8MFW0W^D^SWHsq<S6K;27JQ>vy_0MFm7{Pu0R+DL=<K2xqU{Cz#=IxdcylCrQd
zk_O+(i)o1Q{`tbSkJw_>V@&u$uVuHQWv>BdR~sFTBY3k{3-6)4uUhi^eOIwtF=Kt+
zjmb72jQ$Kb-EUbB5Z50`@(zEYFNzd&eYy=+is`<|E&4W`!bvBvTUHzDTcJ@pak@Q~
z2b{-;8^jAupwp$R5T*&b*_{q5`@XikIh|6LH75|h-pX@1YHx3+Pa2YLTylk}*q-go
z#HC0J3kz55`kpUXyx^RoyqoyzZ`RV`SnZg|?zK-=BDg({@r!(e<1cyLR`(+n<_slR
ztH()MVIk_x>FMcwuJq>}<CD#?MworalF#xNCQY3ty#|ky4eW2`qv=*&2W^dKz?a3z
zQV^dq5Pa5PCJ6J5&K(#Yj=sML0h6auM%Xhx4{X;RYC3d>I9M}1DFt(iGc$%TZK-oa
zLWa)lzfVFAN3@&qgPHY1iRy+_1V5P-*)w1m7t0gnwQoCOSKwZ2bh|R_VOGn}%*>UH
zSK#-Rp;XHwLqpcxx0Bn}uDe~gLwnZJ6LTn|I(BSPo#Jzw^1K2r!Zy&2*$?=#-meIM
zJ~ZIFnXK>hDAq^1fYI>TV~Cujyp??B&Y4Nvv{DMELiw%Q-+sz=&72Vg?W#=X^4^>{
zs#!atvB#=_fP-A0FqLg%SB7K;XpD6!k@#UpYYv5uQS>>E61_#gz=pl2o^@}vwi@@n
z7&EL!fA%UkN>@yQP?fFYw&s25`!pVqj=ndv&gy(xP1z`GdD*~r1%`=x!G3yvt|OAw
zI6A6y@e$0dZESddoD}5lYP(#sZeS>6=CmfksD^Q1`--&B`Y<3u{xBeyP4@D&f&~eI
z>Y=nkmd&++v#+dE3%e<Ckl{4L<u}|8i%FD@@fTZ|aMeQvM(hsusi({+mK>(ztm`(i
zhG3MF_`${y{i*Q^qkRvh56f0cs|JTcU1U?~<KC)<sU};WIZ~A^Rz6X9>WzyTe)=eQ
zDUEz$d${;Rf^nuQmL^=BF+HKrx2L`*1b>9X*J%7l=K>Ca%~RHUZ%ibe;5CWvCbYqV
z6Y<EbegeeXB+8oa!0}U;>-~ulGqPHIU^{~r7x5y6K;{B_RtmwmW7PD1_m6L%cb9{)
zv9RVNi8-0mDztg-t_clse8bJxB;O4N8-m||n)zUcw`Psp9!sjM(808Id3uv^-EAi2
z9?h<icW}%Y#Z5*SLph4s--C-Y`mnCF>xe3p>8)pr_}rt8)_z;Gtl}==RfWnN;w4!<
z%}y;V?5;74k!N?0LN}igJbgMGevxSuxsRLK(=^ca4ddG?ai{b%mgWp3UUWOY)}sj3
zDu0)lAva2Ff+J@Zq96-e<o?fxWDXvOu3y>{9EeW&=U;e#j`Q4B9<Lg78b2h*n;>+E
zKbmq8GrVSA@1R|6c}O8F#O71k44bIuicG4=`%>pj&Fyh)I%N8~%dW{~cUD_dlkj|d
zX9t>d-b0?J&Zuo@Xt<<X3@0yCq1VcJ(hmBwiV{VGzb~9zwT@&8!@z8YBKV~<)(zfQ
zj=TH&eIiRsOD^z{VK9p>kFA&S`Q8F}=+{nkt@#LvZi_1%hg=r1>>7L33Dq}RPS6O#
z>!$WTy@;;jciNbLuc>dA#%td&r7XHMJS=iv9kXEI1vgUwGjnj(j`^O~p6|PLz$(7}
zzz|#uezphJwX2q;@aS#7gWKbhJN1NOH@L!eyw*YphxcZr;}=TpbDNu+%kuJi2w3$j
zKNGOjgg>Lx@$zcPa2n;GU0RBgaQd_2^VNA%yG*{JTTozYGbPk_jypR)hvtM)SSuv4
zlH(;->bEqEZmt#OMc1U+w=b}^9!lK&AndTbIq2wE^1XpeQmC4ni{5Q3hY=W?o6}`^
z*QBKAdmnvs9i&Z4PFeV(X<)VO3?*RJ`tZ$oVq+}Je$LSE4#&`sRlip6`Yhj;f&7)F
z(>6P`Zm1Rsmny@ei=<~!T)k9L%Ew*HbdE`UzB7fQuw#QP&EGS&8MykKpI9t8AM7VS
z(*G7bLmD_gn^%Zbt<%FPrt>iK8Oh^QX_n{PQQ2(B?<Cjomp!;GiYjTk*o421+T@Vy
zvX3zcQ4BK-7HkF0WQXUH`{z^3!lO9}CQu%dC0&rQvwEVe-aM+eJ7w<iAU%`m$q0(p
zOyOhw^sAMm_@&c0pTQ(sz-3sSI-l>8ipgKOV2m;G6Q%wW>*8)A>u$2@iCH-ajrwVL
zK)}P@t*xpK1JBT3eIOG*6`V#aTNH(0ma2qGEu6XXU&chGT}mQOS~OL60b_U%L1^i-
z=*#V<;hnIv^+uD@$AyZIY)AUx*VC+n1ozb@f#aT9auCvu2b-J$8Av*;9}Kfxq$0{*
zIP9<LR$`q<Imw<Vbx37b!e+CvaD{z90_D#RTg5&|uU5&ia~k~gV0qf=it!b)Vw14?
zIfqsv8tMUh)ZK21E`}Mrn7Y|*^TzZ!hvP5^eJ%6Z%H@msC{5{Iq!lF*XnnunePHbS
z3@}<$we`pG%-cdX9Y4R0`o_jE^3+Ic_<t)L24t;~j<>BdWEe4ZK9^1Dmb@)~b_x!h
zE6QK78XwN?qYXb$OK5}K>M$Pg%Q?-MX5emfrBkRI#JqsjA+w@LZ1-iQ?F~so(F(yB
z^~$41d5!oGxvhYg!qga|>C397$MRXS7M`PUUSxsPzMHt?oz~S2nb`feKUsdAE85gF
zCaT>8SE8vX{JO#Es;+m(SzOl1hIAk06@+ih7ls+Hv{ez`h<LO?vJY5`;wDM|Te<TL
zaxO!aR-xmXHf=z$hdY25pysc_gVL~O(i~&Ji&{)k*!F<jMxFU7)rQhTRY9oEz5<9=
zURgZSx@khg?CqJDfYoBNL(;;A)fwg7CuR=3VXt^qfn*UW(nmGX{vO8!e!ZR^25Ct4
z)=c6HL?sGxCwnzg*@@(!I67i6Z_LLHQrTYOR&@5)Lmoo%V@5l}7X1FjujP}XNlE*7
zK(6|f1xH&g)B{Vr9=BYq_TfaSg7OUUQo$4t>(sK_k5v7&%8Ns`qW)947bjzl<XCK-
z!OEztftvkzK)eM{izYUW3;ap^PEB&SIP4gP$t8%wTF*W!1yNQhU7uFu*4>m$rI=*x
z^yn8pb9@4;v(Q``vo#Udcw{8Fqwq^+ATy9lq)Z$`vS{XE22})EYx7Gy-Ep6nAoM8g
zS3@n_8Ff@eVclu!HkT8+G<`M+55`Zzp>?lxY253j>&i3Aj9Ra0rqx5McM`|R1#3S(
z(=!aTsN|5jfO)i)X`b8}9PL!y3ebJZp$)99+{67-&o1-*U7Y??;nGA+qx~dN=oLHu
z(h7;lP8k$$dA(I&y_)duMTSIPJDQLG4=;r#pZs`t6_2}|_(Tz_hEY@#r3_r_iq%}y
z&qlQ<Q9-(CC|Qn)wb}JimHC)AigAr#<(ps;LoJM6VkdBER}F_<8(6dF*VKFtn9))S
zV&;89(S@ztb@B9uir>Tzo-k&Eeitc+E9vBaO(Vc!nUAs78Y{#S=UR5uT6E?FF3CAc
zp!lxM(+B7MH7j!UeY_V$_t%Z;wF~^WdVEqYs`I-GCv$Bz`{_w<wQeBKx+8>YV@A@f
z%f3Vva_tq{i0hqC)u{i`IxC&~z;b)Z)}Fy_M9dy8Vu8)yI2u-mk}qymGiuRY`>Qz%
zbvYh)Z2No|LwS&6<txqP>z74KVJ^6BzB2jzC!X+FN+J(-IF>y_B?V)6qk8VOm(m^1
zHj)kd!y?pU4+Y3->(gtBxOOyal1Zj8@5`%N)ytL#;w<lb$hf?2^GS30KYG6ZRvyG_
zYdBdWU~_@&MD?!=+Yk8r!rociBQeg@NyGA?nO+c1OEs3R(hu(6QYdwCj6osn;DA$!
z=f+XR&lqtfwnY{<_Uo|y8<%?$3D8Xjulv}1eki-a^G_3<yqsZ_2E{iXPMVtI1t?jT
z_Rv|7bU@|3&vsAZ9M6MEQBz6(ewa2G%^)3&W=`?@@dGD55#7giQVzPpk%6?2Aj#<r
z?^)yULdWs^C#w?#x?RUA!`8pmiCUgtR;z!W!V9!}QGk)AC;!U)TIC$|Pe^J(|F>`?
z_k#OTinD17=y=jpQso7<60Key*ns$1?{`SGc%)-zJ&)XVbn)~>9?P;iO~D`-ZMpo^
zU>9jx@*Qi|shB}VOe0yuTsKwtDC*FV*ot?>{^saRS|Cp)*=y>(Fp}!SL^~#obUHqY
z;b-8pkKnmC{Pk7_@B~4bxwpD^ZT*~{C^90bIxqRoRGwNXj=$<EwvsmvUll?1mFv-Z
z4xQMX)ol-{Aa3_#gojXpy+rm%yp-D3-6&Q-W8zMMW)0rgw3F)bZ=Z+|RKxMBh7~a<
z{%sZfJ2@iemFa8lAyWh8?*&Zx+=o{_QuEPVd`7jlhV+&LWtB1SI;@lX8h7~UDOXvZ
zs-a63#ZbdYzKT@FBx+6t8N64j#6N#~oH18^A`T}?Zxo&$m2SH3lD=}NTAvN!EqeV*
zs2FA+(I-EK?0L$^ZDEk{Y@6-FvKoDE_KhTz#FJ{U1B1)fnZ+(9j~!pHc4`>)Ol5hJ
zx2Vz@Sm@_8(KiR@2t`jUvp1(Cjl!ut3tG)0g`8qdZ=X2DtnA{3m>Hz6cmVI*iCd`m
zUs>2y?Vk*+>h&U4L6arH_wLS^*x+t%pu*qaNYy&V_-hEIF?R7YPwZ4mG?VQlYGiTg
z@wM%u$h_UdZ>{I3^P~Ec!Ny8ALGRuui>HFTwWQm@L7QdcvCyH=e&wVdjye#|&=Uv~
z*F&QfYu(Ey(~iIhv}ec|NK4J0CWe%?Za+WJaIB=2!266m?59qedZ{`V&is`Ax$H$;
zcGF422{@|jRQ-{{1ACH~@7v@20??lM(029>hKyR$=q%L*Edx}Aj^M(xe$^KZR<xck
z{!`e`k0S|q+ibo7+QY3$QAt!O4&8mnNUP>zo!_cEN_r;dJEB6Am+ok%K*V$!!ch~P
z?UdM`uup5-Pk^#~Ol!1a3Q<liJt>aHy`#^yb)T4dWSLJ=_oiM*$c=U$Cx(P$TvL2S
z&yeF2q+~596gKj16WNg8j$CJc#zt^$mUiOJ7FoV{*K4*TmZv23v_)aL9PTVntE3{G
zKDVmj{$eGSbbYYwaj{c+colBQ6PkIo)2kwt>T4!BKgWsMvUa)c^&Et^2r;DEsFI46
z`9mp;dBy)bop@%IFGH17JiDD+v-;x8L$)-=-T~AC84|K_#T=QUoQxJz49K$2G0wTq
zqnaQiX3;03=sTsWWWPSD$G@;mlEMuU;7WFDj>(TH_7}y^XoR9Ht7iL^)XiLsB+8}9
z7)TzSeX#Rmp6s?|K(5~FoULNBtdOI`tN+#Qs)f;0s41!V?3-n)JI+`0MuVZ8wOkV;
z5HX!n2gB);M^EK*Yd9zjAx0I*CcvW+o?I&x(KxKmLWsh78uFRq9d@;O%!+OWeb?n1
zTxnW2RcD_fpJVG{GN(C-)4wkF|9~>ZZBGaCt-%W$`o=h_uD{+Am5O;*$W(GJfze(R
zS`0XL>f41H*I~}W<~$6VMdY=A@rb89qYsn#%~cc`0=i6mbW(u9kb%@++7Pl?PLQqN
zmDb>_m&O~lUGLY~?(p%{R_%(wey5CV`CwXOfN)9!M1yN3E;rROWygnVu=`-^^Y%z+
z4WT=8O~auM&1Kn(`Bz;j5k1cFQ+QoII3@PKT4NGj0~en{9x%NBq!aPcq<b9%C8MZ3
zA{(I)9l+<4URpdd0gn)y>>^ng;&J@7s?z?CtLhcXO^_qY^y{xIPhaOpWwY!lEvcKE
zM&Vn7TH%WvHTs7jdr-qD-FuwPwnJ4~Tg@Zd2^*8{7&&bD=0pKWY^50^qYr%-LHPtJ
zD7*m^RW4!*NYIZl5NDYjZ_J0Dd6p(xJAEbX>yVm5?v%6b(s8_p=ShVF`vJ~sMzUx;
z3wQyi3WqAv*(q;K!^KF*rup9q7DfXP_6I9dmn4t4gzE>%*F3~uJa=`D2I}alguWO7
zx;m-sb$&Q*3G8>%%zrMuh@VGIyUgiZBpLcPA(9n!7@6^$fmiuR3a7>VIRJ;!e6|$~
zYb-K7`p#GU{8~;Y72ucaF_hOg^bvbMKC?CWT_yQdx3`OU&9y9>{XSLxZ3;xM-zsT7
z=L`M!m;Iu%<ZgrUw60yqgnQ%lo0Hr_5JTm!1k~bb$inIbt&ox@rE!$l*7@BkS~Q_h
zmBA<0sMRki)JJ9|JzPZgRjG{V-=o~YvbtZ><ySIN@Nq=e2e~q1Iz7nhc6Nt;sJJ~*
z;;5vE*w=RN1Pbh*!u?82E03D<p&E=fk~%b>0(|kfH7Qu))Nn&|cqb$I6ndrdKjt*O
z$k3y)XYh1*=FUXRM`0DN(u3q#qa)I~vOsp3`ko|21pWI)Y^)_+)QUb0ipY@qa)d7-
z7Y?DqOkFIvBd+;uRu?ppEA4vpjSyDpcV{E`Ggi{}{`RWD_s-Mycjsf=d4|GtV@yKU
zI$27eX(gc}DZ!)OXYiwbN=j>|1+%0D?m0aZ1Wqj1s_q78o&^G#b#;06v{!onVmb%j
zRh&Ei&2%Rn0S!b1Zf&x>lGsUGxh=@}*hlPoy<G?kK&7xm{D3HO!P)kUwgaP^(#m#d
zwBSD9&F!YBJ&@;XDt*sNT`$+dV2$l(ESz3vplL*aCp2)+@i`2ltaEE!CqECOyzMk_
zUqf!WJBRH?a~pLd?e6T5Tyxqje$~L$M4$kB8lC3Ye<430{4ej)y)6VSw|dM@O$GUQ
zdV20a(^5vVME#2H04xA%Yin}>2?z+-?k_fVadh0DRl)$;x>wbMQ#-`gvB>zvf%Mh}
z|FbkH5mC|23q;XeEv!=#=Xv!jsa&TVz+O{3Kc)&4YYQ_yF>V0lWqh-|yqweF$HJpW
z3NQxm4bDGT)EoW`4!i?Z-#!z<KC`u3uH0_$9<>4>qMFU`YDiott60a5l(HD~`?rm$
z7+c&!VRe$@ZmV(0I3Fxe1%7LI9OcuQQ4(x>1`^3B7ZD{mt_Rt>D29?^8E7hc>2Lhr
zhE^}fC#7{Eg#*E6zx3`6^PirqWL?&uxB9B>J(RrWEp+YCJ&C^NX~D@%D8i3evJP6c
zk|xQqZHs;-?a9<kXz-i0tYfphe)BBt5#H4c+O5y`av}#z*R9!LG-t4TD}z^XzgLdI
ze&89Z)$Q__zowz|B>(2+f<0q9&gTt(8+g=W!IxGeY<@x(9j?>gD@W08S^)f0_B~E$
zFdf8W!p9K50j_=SjF^b1ikQ<p@_Ri70^3~VLyFr56X<kbB~$~rXy)5oxvqu2zW#h+
zX{k*M-0<cgnrvzqadR|^)%Q{?GP^q1@G)iq%6RcN_c@JH2VQBR)&h3?YY4%xxj1We
z%FTz8*ct%_OnT$&=Jw|^PFXjLDz*zXW&o)HnVaA2w^X{gxGW&PX<QPQyH<0B0x`Hn
z0PuqA#ZszKUgInPQY%zi%Hc3o;~ug*$z;#MF<eq@u2jXID>8HE9s{Gb<12hf5UX5W
zV&JgceB07A6=tV^WG!1AH?)zQBAsa5T^7wo8=uQ^dnoS*y#wINiQjYR%ifF|sgvji
zqEY88Sa+vpL69oM(&S+lrIO~$Dyc)TeOH|fk-Ta*E&Wr;ZBh9Pel`F4<HOX6xKV{|
z$r`CoRQ(cjVXF=INDNH!6R+eL3eu<geW)+$WH$%q-aR6J0J&i|+pK*fM*2wp%LJ#G
zm5{{(QKRCcrM^%FV$e+xxbPgYH&B@2no9n$_bHFXC|S!+NvZA0#t34frll<Oi=1=7
zY%1GqfmP7l{Cr`|cXs)1-wpO$Q_qMl-63$vafs!7;6==QW5*o`n5UTMz<Zm1w=R00
z2k-cO-*C`=15Ii_rA-s@xgIwzFD&fWDAO`J@Hy}TbqAvZ^U!27)2reRzH(m<uSWe@
z5b|ehW&Ai~`VC!%DO=lVyuR~<^ehZ!6Gq`##G>EqEXUjqkT?bV6SnreXo2r`?N{b4
zhuxU)&xW_Th?jJ|fj7d$QOUWcH*QbH8b{K2VZd0i^6~L;J)Mw+O+pmP%i-^7?Q>MB
zbnTkHu{Qn0V<Pzc=R}(}Gj$6C{$NNsdB$$HY2yzcI)MdYPjX19aq;V|inkg+W!;h%
z&bM7%g&Ze1SarTp9b>NMi}B@7i$>tw8RYsRWn1-9o<~2JsQxh>9ILlTpJbUwZRIV4
z_w*&%cm<Xqg+di)JoHPBKDz6inBZc_V}?i8gaLURkaNp>ccnaXJ5D{U%|XGeSa9c6
zuq&6cjML)Qv29;5aSc~a`!tTLt@J$3K8rqPeGvZRbI9Tw$@aiWr{q_8&NO5zY0$ir
zN&Z8f53;WsPayOk!wOH_=acj{YFGC&Azbxp#(RozZjr_}s$R|@E{${qkV+S{ChW6r
zx`Y=ANU>;AmL{UYyR!66@9ysMa@~A;_MtWeP0rtrVM2)>m;M{8pQ{r?YaZl7y4gq~
z;@<n3gcD8H1}`n9l35te8eJK;Bmxncdzr|}0i}mcxNPx>nsOfj%8Luq_R5p1kJd|i
zX3CM=7H>9|$Q2w$$ZTBD2`#P&;;FhWG+t5O_l%YjM=V}5+P@*RUr5d{LHEa`WadDE
z|A1O_3V(jpDV!%wu_Swqin%0PNGpM{L0+$}g!$MT%z@JXx#71{>AMNzKgji;O}77w
zW8hCdAF|KWCMgT0ITo_aiqMiramG+-4s3&nrOy>Pb>T6;ab|mx_nPbHZon_=0lxu{
z5%llr*=})jr9;~xrVe9rV;n{xKJCZ$4_SgsrLgM5E5m3gUr(~cHWV$Savq;{<B8-e
zID)U&RA0B(aHx+4p2NpE{XOZ!#K^c`{z+Gko<addeAqM8tq@-tytmH`D2rb%t8Vd1
znR~Do=7&L*gy)`GrCS`UIEuKPUWNCCTrhu+Mz0Lw;Z|YDh<7U66908umc3zZx-@N>
z^y%N@<sZmaqT@=ceC_?pJ0qn$bSgPW^|iJ;c2-ED3bLxRmHY*Ff!d;(dbewOMZkK~
z(0H%?W(@z7no4_c+ei9(!cg{&MH<ny-)G3x_dayU9Lm=-Ha03j%KTrnSG_hA)<1f(
z`j+6UX^c)kEifAQdOZ1Dod;#=4Lb8v2m1z-&q5pg03dKyYK|E}nG9sG*NM%BUneS^
z=#Z-zdfK&F2~{@Y7o?Jo1{iv_e|(4W1VlrXAw&D!y6I44wlm^k2dV$?ti%4H$wr+h
znytOq>q+^4FWUdkDhOC`<vfG2J$KUd%{duHdlMw&{wOh9e-ISTUeoY0_w{Qf_%pEe
z#~sTmw*2)bvdGF|1w4QeNMYIdeb^OTpo}HJj=wK9zP$BM$8oFTjb?dsMc|Dh2bQXd
zm>5rw3+*j^FF&=ql{sPY-HLA9Q~^mqcKUKJK<2wXP3Y-+ck&jMD}s_=C}tp<B5c_)
zb&MTx=mv{X<c_%NolIaRr8k(|N!dw)2g!kXQvUczE=$f8Lx~B6v<W9OMceGHJ7sYw
zg^#isD!Ge<toXgA+x>)a24eB+B}M(46a2Hoj0l~2&E`#@<7NIQzkiDJeo?$?h0trD
zM9HG~<de*H<;MZJ=w%XBTa=n^(7lQh6J_HDhBLo!l*%n0NB-T>HNA&IzVp3^w=YjC
zi?{EiG~z}XEaNxdktWh(m0pBzV4bRHg`#9)o<7VaTB2lBd@S&?u@Qgbtvy5cHm`JZ
zHCp?MTu@J@cAiT6x6+va{)#B<yHZu;%jcJi&FnIBSWdCI9?^oR?@QW#P1ncqjNB|p
z9u!<&GfvjT^MDJ`Sr;PU4)#uG)z((dNj(1^uBVsL@Kw#2Y)=SkVsQ$~&^T(O=mTgU
zefcyfv0}}wcTzw)>H6NndW`XCsO#%g;G1hzk}>U_K2WvTT;R3{U#8%Uct0jC-#M<2
zxNXnF1ld*s3Q<T$Yw^gTJJ|_jiALUyNASIT16AVe;d1RuFj``Gk257iN(SJ<(@eTF
zm#Sg539D}<X{)6ivL1`(SI2}gbb4PdWsGiiyXrQCZVrffWST=I+&9sua*gPbH+z}c
z_1G2`vd=<m^D!GS#{zt+6Nd--t^XHppx12O1ah3yE({T;FxDQ|`6-6`C1lZy__~1f
z^gZ{ucC2}*vzjg2gVaaknmMe+0O9gw`O;Xawi&c}Xl)~h`IsaEV-e=){<ZJpxYk5O
zw~foH-6qrSl=BGjFb8-o$LnDhLnBH^LsQRVrE6aM1)^C^ZZh1)3Bhkv%Xl2wmDbI)
zfto!V%yHcpVax*FPAV`bdH2?pO6;5FdUp;Gbt(uw;JSppm&365#jKu(i<*&UgOYzT
z*I!yg3*G;mEu9xIV9dOj+v6tra<s<j&Bb`u72Qbo#J2^E*v*OfR#~lPCaue2KZVz4
zU@wosfm$@evC5m05a}xQ@LDpgS)m7Qy}gAJannPnbE011-*-POq*t-+rl)(-H&%=k
z^Ggb=&kyV4yb7Qs%6u_+<UlnO`s#F8g4ZIP2pFzoym14%-?x#aJ*lSoX%E3PAVY!>
z@9MFqFhi#BMgptBD(25>J)!MZqj(&L3q1!qVdqwtTGqWh<x=+lUF1lFk_PCN0MqRJ
z!^Q{ESKp3f_lG1Ih=HvHJPy<FSgS2v7rQPx-N$b)fSsQCnG9p6B&r;u1=dT(C^`k@
zt4XOiCrlo2RDe^R@Em1>V1B#p+xV-u;72bNqS&P>@7**?rZbfC(jWL#(9;H*8T`<t
z;VSTBj|vlcp^niDaQu{6YI<5JTJP5Fm-h19;tTlKzP<RXmmiI4qtaH%Mn8@(@}7el
zXptZs8Q>?k+OFVFUHBi|ze)jnNc}-Wp#N?3l>npfcm$-<l7|K@1h^9lu=yk{hgAzM
z5r2V9fSxb9R>NV0rqKIAaHU~S3L?J<MjM&AidDj@S4Ka5Uxe*n!?93)CaQU|wsz;V
z$&8-Z8_``FmTPkazUy>kA7#17w|Mg*!{5wg(UT=C^mBAbz1f4pbB0GF+8Cps%}k20
zaCL}!nNwab9<`dOt@_Gpy+UO*Q<Wv!r9=Y|s+jwR8DUMZ7z?o;rp=xAFSB^7;#~Os
zqV@m#84#kr0Bso5CsZ>ECprgXoXqBjeGjrwk2dC}XPb(RQBGiepkT?@22ruc=aE#V
zsnjSOTvpA?J^8qsBW5q5^SGHZn>gjvy?TGs<$yW(ZgKs%&wK1af4YJGlO9L<E#Bvu
zbA}rs-gB!)A3d>&w}>VZ=n5L~lb(MBM?Fm4XPMcHXDBi{xiW83c*H-HF2!GXUYz2z
zO5um+qfKNioOnPiR>@eok~k-e(N;nt-^(ZZctqmg2HrpPluPx+_|^+)Px|9XMpG&c
z0C0}$<uu}Nu{mPHzpoleEUR*#svOU(^pL!JQ^&1z7q1%@;`1ixu}_--<?%@Ft%$r%
zdZv^^^zC&Nc9cXE{_<y}cD*+n8Jp-(_{))$Ib2)yR>+S)8NvJ%Y7Q)axc9xv7O=xN
zEWgSUQorHtBKs~a^z68sUoHl~?$)}EDAn^$RiC|Vswps_Id>__X`#MqMQJ2WicJ4=
z`H@tjWtZ0Y8JYemCsD{$GIC2GGx!twl#hqp#IF*gl|FR?0^4Vd#ByO`%(*oWOlkeC
zlB;ZTiF9}_p-m=lCe<$GVJ-SADX((1dOV!cx?laOHX7C!@76U4+vo-PJ%GEamP`vD
z>`zB>vdHPy3inI0B^-XRBp2UwE;zd7K_69D$5TMM;7`@#34to^VVR79!hNFq_${w5
z6SO2clh6<>%~JhQgb3k2K2@EKt&G#;{{RO6&l-cjRNI$yD9D>}nk$Z0g4D7&V%wn^
zNP6sA$O=f~qR&Yi?##P(s2(?<+lD`AW`OEM(`v;hJ`Es(H=snJZgY+A_;V?SJBuh~
zBx{oTL*(U1Rs2?7-SI41FTu#|23>7>@e(JCyLjK2EQGF&iR-RxU#FJxfBvxi2D6*s
z@i<Oh6tHb#u#nsr&r#X%aVKZ|;IT7Xe%LX%UEJsWBL$>Mqa1GWM=VdZ>G(urCX$8p
zsM2}%$ztur;*Y#oo|65F7{)qNxU@zY>QYG|ETs7UPG07p9hkhD*yjD_UE3_5^Xi5M
z9>BD!5I!B3gn|5EpvDEj%qlN0AHfm1{BQ&0K8=eDz}}K3)Hn6oZz_x;=IjHcFpG|x
zrGp))?R-_2lJJ?jjlDfW^3nb3kOP7u!P5V1EE-P&X|B9+*&1O<0KjA3_ion^h9Gqa
zaCEjiXL5r|;ohml{|g`SjR?KV^+z}zG@LHeGDh_NQYCGOwPm=XX@jI?EtJ&uTf}o7
zyG1^P!-kE6gHz9cHmwE+zP8G22)vNtwrtgL`-=@e%sFOz=730(N3Up}8y(kr3<L7p
z^3|vt^bb+u1hf(!lRhj#095S-VzQz^vz#a20J4{P%gLx<m@(jf<dXwJo@);_uNJ;E
zkI%KU;6dxjp5Oi0Z!2?iARqC7pj<6SeWdW83CayKrJ8@J7Ov=R6(UKSn>RRbs|wy<
zuET*)S-U+|h`P!0FJ+A4FYGaoODR0xr{pfI-BC?ot-_-L3)J%C<~rT34E8}~G+K#z
z0#nBs3cyO-F-cP}O6zi@Hy~yXAt{sRz<)U{Po+v90L~-on}o2(C|18^5RxV_PNAv8
zG_&+>b-eu40((x40#`K~FZ|N2MPgix;r{RowT9Iere}El@0Fj2={Z>Ts2kCMSavbS
zF@iqAG5qYzrD6RFi|$pj2`A@QQ52tqy3d_-qa?<QD9%dL(WffYIC634n7vH%I6iyX
z<l8efRINelIXojCEHaw|fwN4zLI;$FXgA;<+;<VqT2cLZO+EZaBXm)v3+sih?{It@
ze`b?MCP8N$*AC+Pv>-y3xc7TBy9Wo2=jZ3yKDAccq{XVmrc9a@b%1f#=G*NIMT{@N
z>6<SE{#3N3EZkn5gh55`PNx7IpgUIpxHlW48G_RV08|hV6bvJHXKoIFi&_BHFlm%^
zp0H}y^a9~M^nN&*<Hd6JpRrJo1Hmi?VDUo9Oo?I|PdTdya2I#s@NXgj{DXmhL;Yl}
zIbC+9n>)tLYk5BY=rtN^aX&H!PLuNbWUqEiK$Za*)1P>mYD6#XF+u{LV;EU8CzZ^8
z`9xj%IN}{ciiE)1;^$Ncs=-<W*E~8jiA7RxS@f7{X#<^x*jU<RyYO;k7LZE<#o*(i
zo!afa#Ch;xK2)s|B!jhtGbHf4%EEENK6!GZ$cBNFMe&uFzsxLmJEjBz<+B{L!9ZbV
zQS7-`vR^0FiLcZe|7sbuoo5{G4-{QI=t|t-Ew)(NkH%YpX+QAFzhNrDMa&{uCStY&
zE5jsk4rZ!=R>=Jjy3Pl}+q#L0mK_t)&TP$r<GxbPv`u;2H(Rc&Nod$;mjQq<qpXUG
z3V4GbyyHc^6@INI<8xS*QBT$8bHpCQ{5ycDe&0Od@jAEFZTG%XDbpxLkhAiZmOp@P
zuAY}ux50Kn<;Le?X%3L2cA!{*^%n7*DHICuH(f)+ta803$D$G8i$#-qoe|(3!s?C?
zy33Cd#UV8>#40hRBsdby_X91B(;`~mW#&C%UJ3#?eq?yhgz_dCUO#7mK#823H-H^$
zbKrZ?0*_#-sCuTv2dHMh2)usA$?m~c?i*6tQYEeyH$^OdU&j3YBUQm$4%*KlY(9ep
z%2{@FneMqMDI=-eLkRXPxE{&57fNbZ<=A9vk>%5n;e9;#)kOJ^$&15cD3<{&5a*K$
zY=723V7Rz$<%B^2oD|mk!)C6c{*>ox@BcrLa)J4$*)<Q2irm-=ZX}x^)KtLc-AlEp
zSXkQ~gD`?uWO(D8z@I+$i&Z8DA=y(nt6e#_sZb~3#27x}c>E<EFe$#y%xfOgNGz$(
z&*<BQ7+2K_#ch1oo<yQWKYSBW#T>4D)1y;zO=N}q>bJSm6R&&W^;LoHo~awFOhJ2M
z3O)n8kr{f+(JCx#AwsQ<5M%WUlv5^#aVF`gxlNYxz-yLC+N(X>CzFzK^Vp|6PrW;u
zhWfHYS;EhYo6OX5(R1KY0cN?Sw!@<&qSklmP_9jj7}l8YeeP%PqdIi9Z;HOuEy`NE
znf(i?^>=urMZx-HtsnU0BMO~j`Ace2|Mtgb$6$<*!>DCd(k@wRCx$XqZY`XU-EXR2
z@#qPAw4|0*fgMT4pcwV1fTtm|EG;;s`yHNw#Bm(iO>{-U-wGKZEf%2mcD1AqIoVEk
z1AxQWn_E|_Lw5;7*3-0O4;OAv-jo!Ge7mciJ;UDaAvn<YO)CUI<6Feizo{Iq6`R@s
zA>^z?!tdp&#_<(>Q`;B+tqYqTDwcxBl*LHv7oIjAZO!THF%BYwm=V#azg4>1pV(~a
zGT=fV53%~1T>fQzx5oYBfFA?dU52t)$U4irxtM1l9N%V*g+9MW>#6YqiqCr-?|eDj
zFQJ;htp)@O#W&Syqwu$L(mh{9=2$4)wwKL(yruwLq4nweY}WpqoB=G`5X^^B_=DOX
z^nMa1+TJd==a*ZRZwyDeSS0TpdR}CYJ@;tf7fQyHOC1jy+T{&dRuv)F_|D17+1MWk
z)BV1i^7HWEHRszT5@EG1MS_#-_{f#ra%oD>Y00bBdR2#Iw2ByLoWpbB;Vm7KF^=zn
zv~6*Jc<6u0?Fi?@QKJ@g@%0@EuA1w+ubk0vTq<%@4(lZQPu%ymJbKM+-XS_iIy9X&
zhKo4Lu#u$(6zAwF@`4ONi@H?vUv}bC*!)m39LJLl>OB1Jjip{RFTfw^0mogm(jZA{
zAs<Po{2AF89K#DIn17P2jiJynzM9VPDvVYFY4g->sJ||I?$tvlcxMHW$?|P6AV*vG
z<0oiy@%w0QQ8PTJ;w#rD?eCbW2f7~^uBnj3OpYb1mK`X}&HisRNxi;Z3JXnO052yN
z!$mEqScUif1E2TQ*rV%OGzB7H<j+Wx8t=4IU-wRC$I0g~RZrnPtW$o&{B%)(u8~$E
z(COv)l|wjr|ExE(1Q#|*cjv11#A`qK$VhWC=gO5KPhS!{^WkL?R-TjNPR?R8&w+-^
zSMx%bz(%sjl~-MAuU`V{+7qQ5m*6R2zf|R`5BYw|N=2s)x)|jm60K@$f8Opck_Bj7
z&SMYPRaOCQnkg<cs$xNx<`sR`bBdBL|9O)X;iuIUm;7p&P>iK0vCTGg1b-qvy;c-2
zo3M}Y&L<ffNKP@!SXTXo@g<7dp5bu$Xs19-Q=*wL*|?*fQT$E9#KhI*DNht|5+a=2
zBj2j@@vZa6DI@X;>?m0xzGcy!QcI4dC8u(7HlCvkXUHW77$}Y&lSe`Em{0IlbTNcI
zf%&Dy^GZCNsJRKr%BCndMl)%Bq5#`V$Z!Fll~&SewNnr!bu?q6{JA0SHv^B;3^LHg
zrbZs`U*O??=%*klembCKN(`(Y7}oG#V#z`9bSPcf5-P>J5ERN{Rg^lNnJUA<a!BB{
z*Ng)^s+nODIomgUXF^=?*z_3M=H8Yae<?{japiyT^y-Rhhp`pP7*8MRMcukQ;>GWi
zy4bGgEVOy&x&v+Xq>uSCy^6wU;J8*Ua!Eg?1-Q>aWo;IH^-Fjj3KK_FDwMIkx<JG|
zyC}+}_7snjxZ`gYDa>RQcC~enP)yss@#t4}-!!H3u*nGx->FsAmzlmPp3VFN`|SQ{
z8u>G?ic^0zc<81D-IbfVtSYUGGo;WY#;>i<7%C7LbZiXnJZPxd$ks<Ucu{C2$f!-O
zQi2JaC_StqPNGFONqpsa@eMy4z?`)pLV7s99%f=t&M~?(+qpXpGij|=AJW%`LkD0}
zYBODhgvf1C?Nx-T1bdd{^R<RIXf2*YLmyh|IE82C=WJ;IqMb-%nJ~PE3cc?Avp;JX
zl06}8RPGK8(!2Fi^LZ~Kx%1Cc4SDFgF5BjQkc$=^0jXJsnTsN(BJY1uB}w48$5qeW
zpSY-*`mNSV(fi+tQ<Lu$U|_qVhUmE8;%#vpe}Jd}N-tUO_v|zp1ti9D30h-5f>0Iv
zAd;jia<Iso+@9|CBNq|N41ZVLC|cuHt>qeyZ->Mu)}sKku!|z<T}>MV3^u{~HlQ$C
zBDR~0sT?tGQ<TJtIjEC5oU~Oy>b6So*IgOJ>jYh}V}Q}}scEs*x{gXOqJ(^fQ1vKw
za<cX7?y_{Fmj6=+&mTu7ErPjGvAf>X==h6w{`YL^4;>5^3@Og@tguy3JY<qh$-Y?p
z5S)w0p}nOWFiFI4NFz?kz(_11B8KiA(JDY0@ALIcC2>eO_e31jIY4V%B!&D%mReZi
zhO)=${9yOw>bP&w33cp&^}I^jb7d#<hR4mdQcedmbzHqgLTJ}Fy+Ze;89nA&lcAZ~
z0(yZp99z8H7|ZhePA}=xj1O;r?z&XHW0>aHKVC1iAeEP{UdHtv7?6#)Eg%^UptaQb
z^lw*3U(fr<s?-p)K~1Mxpib7hS-?dBxfu}1!8ZPek`_!ePm=ihL%0ei>|Jx^*4qoS
zY-j1`&>2SbNuR{jj|Ip}R&-De*xn?Y!Oi2adP$_p;bO`p2K2FoYIBn(yEiB2Pb=4F
zYyz|bPp#tPIhWNLOf};n3dLo(!@@9z@t(OuV#k8balC+vo)(r2Rab=3yFg@rMfw&K
zkVyPhWs^@_3OZN4@GI?&E$(s*^avXkX8Kov+j+e>xtrB@QX&=kXIA}}A^Fc^7*IdO
zM84GA@?06s$6E6<KYeD%8*+{s?K;h-z)|&PKv1DqJ^SZd;!~C9<7|*OywbWR?{4sw
zWfS>iu49p|$zuz(F*YAW&m~{DfrWD>*|<X08NB<lb>donMjPJztoO@ak7FIYDZ2z7
z3C<QpcRA|;A#&^=CS%<d#=mlN;^+C<hv7b7c*(Vd7r-U#Oxbo#+YL){=6g?6rD@1j
z0QzZ@=k$t5RF{U2g-q<`n~4hru5ms@0$VdE6X&M>$-g~@|E~+ni&4jsr%$8?hw6zW
zeF~>!;zHBH*e0u^{>?zo``Bktw<HmOq=igxezMFs-zgFGsM2n2|D3++<g?BWk>gDd
zI#YSm8riM2=@)YGv4@#2Q}acr6RJ;IS(pTXmY?r<w>EQ5>+#=#g`h7>!X$NACc{3Y
zBwa46s_P(~sc69lw^>4Hje%8OWYJ7bE@?f(tFWE%I}aHfW=AH|nwwkv(F+58RXlr^
zNzXXv==MS(U$x`E>WX>c@xPnp<l#|bufEg_^Hj2P#`fho8&WJgB~?pdeF*|Iu`cyw
z&y#sd6>BzBhCrdZp`e+E+BAtd<dB;xTP$Fg8-y2HC56=hfSFZAL2hAWK1a{*08ve=
z$Swc<?EVQjYT@u4htJ-fFT$hznRT*~)AGT~;_jE*sutfzy`rheWygYR)v>`*9}9^9
zD(WnB%P#m4`tn06R{J{M7sak)-sQyitu+kAqlZo!URTfOj@+(}rq1Hd(1ahwvf3vy
z4&00V={@-mG98FP0oFiL%pUW(nPK3e8Uu0Vj5z7^4pF4ziv|V>MZ5+nG?-aeHx()v
zjkro`z@Gv@=l)z<=_RIqvH4PwYEwU1eSXaT0^C#%7ZLAUq*SuWS@qRroKSt6oZuK2
z6Ls+(LEplVfR+93tGC?RZZbMgSf5Tg_!vZCf-65lQO2d-Ej;tz2p(NyA$`VQ{-O#C
z7ufGwNJP@Td$T1uCbnKHWM}JMbjB7o7s~T=*+zlgw~`jgXY1X;X04Q5mq%XTE~$Qa
z;@|6q^xuT+Z)H3IY@N?zJO2ToDbY(G`^mvdg`loLWY@D9P1xnpdKjFOkI!;5!z~lx
z3jmFCAiy_ry*rzO0n$t;v`oKc7U5dJ+AfxD*85``5%~|%C${jrVfyzsHs3$OK#)nt
z<&V#^Gc)y)CUUwZN`zk?D@uI%-Y2%tFG<31s7-BOOm?j}W0M>4lN-5RIRuN0@_623
zOMzoj@k@!(k4$H^Ef(Y}r_<-%s;`X(O3TGp3SW6CaI0<hcrqOuA8q@ptUO3f3|9_$
zb~s7B)){{(#|@kM%&nQfa%6qfYM?S&BbR??bz3nw-kGjL1SAV@S;z-0U;~sT4;cBD
zL`Zw`%c^g_7r3`VYSzB0USh?feD>~f{b<h+);L>Q=#cm+VC*9kf^(=T3(sV_|3C*~
za>|m&X2$uD;r-;O(8)0Tod06c2@a&uDwti%$bQR#2%_a^59q5r9AD8aeUIo(DpO}%
zc#JFb;rDgrZ)@IV_dJ9l(N#TLrftI3e)(fOt5~g&$0rhz)!k1fYj{;lH7gq+3Q5o&
zTv1zDvX8+)3y~MR-u3pVAI95$gbk<}p5uib9V_hs%Y%;auGk)Ut=tR`?*YxA?TBzp
z;e80yO#?6Bo1(v)gs*-kxLz!|A@1BBAj{MvOs(?}Ht#NkNino}BH5oN;8Nn^>e^h<
zsKu;Ptwnb2@!<ni*VZ2ZW1ek>S)7?kvAefNrXvM}?=;@A$?dv7w#{h{F0zkCg`U+f
zM?}LZFMb-oQvn<p69`QN0pt+fmtClodPzG7`sZ^!mDK=5_--7*y{eo`L{k;e1cf88
zMb+{%USUuFz;mu@t_8pZH^)gGWW7upwd3m96g5%<T{g-!q60xQ;>1%vrU@zw`(x(j
z$Tf=oZ9952uOiL5UIk2s@z2NW0X<WyUJUaX(N?YRs-zt3A<D545oxNY1qG`|Kd13Q
zgQ4^D7Q7+-f>=Px9oiV*cPY$}!p_9JEV?YGZyk#{Au|{XOzaov(#GktPZ<BX4g{w5
zp>ct3t8g)^R<uc}JQMWQsxo%Y$6iEA4|z8ByI9R{zaAdmt%+W{r2;0i0@{JM1T%f*
zi44QjDHx12f3jwwOfj8r!qdwu3}}tm3~H1Egfr3|;FG$IpFH6QhBtzowE$R|virJ*
za&r{pXDfPt6a(suBtFl)XzfRkS6r{Q&xC9Z_xJZXqCofY9!}I>s+@@HWz;k>q27li
z1J7+&SeZeaz&SE^&|@6FP8_~f|D3ECfgSpry8}OaO#=_e-C>w$uSkeQ7e+|8rG75r
zsk{7O?@(f=^<=a*#_x6=2C7~0y#adulFAJ`+F1>X)op<$x}N=Xz|pG#Kp)`axY$Dg
z>cl$@_+3MY=I3VL-Pv-|>z1`-0Q=nSXm&vNT`&<!#~zwsYi#Okvk1kM*Ji!0Ko{Wb
z+?)jh6#}XkASwM9N&4(#K9&h;(i;U@2kkHknAvMJ-ImLN<)yi$B`o@;zS3u8w$e~E
zQ9uuvdO)ug0^0KJot5d-e?MPz8Y3quO<Cv(dIqxHKMQs;(I()meUqZXS)&P*FYBtW
zRUDCzTk`#^rxiWE4`8_|F_PBKSoy`G-UQL~)>OGPKDvI`AmtBlHCV#83YU|7q7(q@
zexQ(*O%c&BlAwV)3d?3WvhntY(lLif=-|+kCM=Qhlt!bQSo*D&smBk@cJgalW(DZh
z15Y5JYF&xBej^u`j0HzdhX~5a0vm>6wOfl|B>|FY$qBwH+qZ#u9L`SRQVl5R*F1e&
zO}n<ZCfRY0FsUcY9OG+1urH>~JIL>Z1^^X#-CJ7`n^|VT{jckLk({Gdq;_AszW=Jp
z05n(E<3T!H_`KKs)h0aIB)XdNb`=#Nf+4!>LNE!TKv%TwkKS;=v$I32?k<2r2XsIK
z47{JhtBl-zHQ;<A#&?>vW$!h>QR^|;TE|C$e(s#<MTD@4FzecY7D~Vm6~7sEYc~Ow
zx0pMG<T>*%IG+y*P3K*5PWW>w!yNrs#Eu3|BixdHhO9{-VD)JLuzt=w(CElN?W!v|
zIyYeY+7)<^Knq3htbm@-hL7ug3s!|0=7v|_HAA6^^0a?2{nchxW3@>?RB-tSrv*5P
ziF~y`9FMga4J7fcv(w+j*?FF&6sNBGS!x2bv|Hp<d_dE-tRA^~<eiA^T&!S@ug^?X
zpt~P!B&Z}*;-=j(Ic-55XRNyT(VPZGOd|xpfs{GK<_fQu@f$nA7ph+>SSH)Adn4A`
z2JnMo#T%w4X$_er;j8W`cwbjd%8s-?(23t=>qlJwIHJORT->%94aYK0g!b^Ck3L(*
zBw@=SY=}=PX3LNMVDOqYSuL3`bxNI>`61OT-&pbMpP5Y4xX|}G<h?X|m{xc@yTYj7
z=%b{!8RQ<uXFL+{m&Ae@kzihLtO_GRRJO@hb?g>G*WZcCX}|w{spk$#Zdm@-p9Q>-
z)(6wwG2LPU&{e`p)&0G%jeVH2Wdh=X#QUg89gw`-B_<?xQdEnGZ$KcKCrp8UQ(3=w
zk*eEj{4gpX-)c!v7FQ{n5EFCO(%ga>XS-zqznhkxEus7xc;aQ74fwm#VngYU(`eeB
zTI<OL1w-i=D<8pIA<A-+tE^71YexIaj{+uXFQpZrkEic~_31<@MAX`xdN!BzdFTQf
z0r0hYMA2u@80m4QQsgA@`<3BBve?bzd+Q?Pk2~o_Y(NLcF%^0%WXoO45Jm0>3-ac-
z8iv!)S=rwVIfn|yQKJY5I_>y<xe`Bbvz*Bs{Z(MP=jHv|?`Z&bSz{I6votF1tf-yr
z*ZW4<R;$?F&4X1G&Pu=Ei<hCa)89mSH0^I%HTllDxclUf>tY<w|9tTU)dYf9$0RNy
zqMrlRHW;I?+*F>&+U?9yj;m$Mziq0>tTZ>s8|^PWI`UMg-Vf_-TdS`xhvD@yKc8Lc
zIf@BwR1YNa)VmnpZj$z-E$m|*SB<+zI@37y_q-7hPD$Nkk>32Yy5QucU{ub3FrTXD
zhvQ<KuWjRgxwQ~bUC<v)>Tj)!+SA^0ec9%6tzyX2J;oyQZ=1;oiy?i+7N)qEsmfB>
z=e;e$xU2d$tT99=gJK_6xNmXnM6=9e<nzR4EVMGv=`fX&<tf#dSj8)#TSg<)*$}${
zJZCA$2RWzTc)Q@CCJ`>5_0<GO*{yf!5YvH}FzCAl6nCGjpzqJW969(XHcC14;pJPl
zog}@~hbDiQWWtc+a1@x(E<sUn<O8~6xnOt!hhVt?uBSSWzQQR|Ez$kAwd73ppB9XR
zF!P~qjYqhIdHj}q6p$3%@V^VpfBS_Qf8ur)Vxwg+fWF7Z&;OT>su3}ErLee369MB)
zO)=R{f#)oov=?Q_Xoc%%?r-lH%|I<ueBKud!Qw>=UqU9?fDB$N(Izx5@;-xv!Oi3O
z!TI$|0m|u}Sc(F1&c|5>?L1j+k9K{#*W>gbZ-dVF&|OGuHp5&fw9^PgH&R+OZ?5}x
zXET6?sKWhWjzWe>E{~x;cWzd73ZzDe7dPh<PR6kHIw`6Je4v@bSql(~rcYm1BRPEG
z{|J6NcvDyHoAycH^wwMm^_1Uo8bj4*fFSq(3AliMX9fEN-Az1>BNODqIL3U*rNlx#
zg<MsZ8Fp<EEv!nDnOZO8YHNnQw80Smo#JPbCOKH{@8j$upzo<=bTB7}W9=e@Jc@o|
zS=po-T=zb8G7QtC{K*^==!3bYi5_LN=wxI&l<BaH1m$X!)yj2MoXzk!l~&ORx=mMA
z_YI<unS2(n^lcZIXJ_Cj@ge%k6?{*bhs$^jRNzQ4H}HV&V4g{jN1*S*p{H7QT7*2L
z>Yzf%m$PF<J<t4|$iJi^)PJNQM7xdd%rVS%j>RNAnSB<FVVH*_P>#dCK|lAJ1fo;&
zK~g2Ce08RL&BO4v=O-1IQ7x68%*Iz$t2=ZLcS}drP9gY`f!$4jA%IrGWZ1svfeF<v
zlD8SocF&{M>#(`wnQEgJj>=%djEdkf^=i&`?uUiE+wRUC+hoh_>Z!E89+^~M!mL`W
zNWnqWX-J-jt=l95VS+P~93*m=W!ZnYtC|LTVPXW0hrb)9=-ReImTZM4e(+?5(L(ah
zby9al9=k7~jBQS&^f`?LsCpqv>?bYA|6JkUsR-dFHmQ#|!t%qM2sSL*1PXbo1c)Lf
zmhkJDX1jIY%gyyiY*%3e0k#vbOTPrUj-YNS)%LMNiwo^=n*~n**r@07ur-HkMAd{^
zb_E@KJL^e)8jVj}BhZeZkj1rQX>Ga2?%1JeA_7-}L?Ou<0Udv>tJY};D^?3#hdLNG
zJzC9=bXvXLIf63&zt-M5psICU`<4=EK{^#hB_`b|U4n?9gp$%R6%>&a5D=73rMpxb
zlr913Qc6ORlI{|C@4?z@oxQ)c&pzLKzHj}*T1%NQ=NRL8?&rF%>vxw3NQt9)QBlQB
zXX(2Uu^3M_gC{;i<6Fh0zNF9u%z52{4plc0*-+jtS2t-=ig@4xgYd$%T*Mj_4PmmZ
zp&_2GJghh39+HaSH*o8^?|J?t`=I}qJ@KFIE1`w0yra&V_mwW<cwG63iju8mh3LWr
z`L4JboyoxEkV7NFWdAnr5b|hi40mm!DzB;v)&Z8V_=|+PHC(UC-jU2kl*movkvs0I
z8GjC4bq-L8a&}86n@h>HOHad-P4~|&@m)IWg00eJ<7e~P4x_v9Xw@;=ZylxG<4G|(
z|B<M>-SGxb7Gq$EF46v3v@-F^+D#i7o<4JUT0d;*84yuf87c`+W0z_rFL-Y#Bwtb0
z63pP4+0ss>mcUwdXVkV@p7io}EOGm7zBc=8q~!0)3nJ7O<+M7CRykY()9KHEw%Fy1
zaoC3V1*f9V_&#!P%Z>G07oa9UyW+JsKQ~3m(&l5%f8@_NxGF!1`XVzLnJ}$?^>n|9
zUH<dJhg^NPN4d4UON`9!Qm1)VG?mItmV}{~b0Y(r_!)JXcgtk@<M#O}lAjn93nlo?
z<9x9C=(Wlh<%!crQGlux6}(Or)8e1R?)mw3m>t<wGexWNI>CC|Sf~tr<{E!o|5&$!
zBdNvD8flU$Qa|;Hi_XWY3jB`&ZJFt`bRr=um1UdHS5<RI266p2M&z9Hxn_1dhseBa
zFVLdg>waYY4^4%>+qEMdJ_@<lN3JOKMQjH=x;3uJ8)Rmg&7qbi@BMm$%uA(d7e#6m
zM9d-?uEYEwAcT8{lLT|#**XRzp?fIi+Ldi@G=Y7gPg~yeCCs46TZ(dTF6T4m>YW+A
z@QALlWyrl#V5Da0Yxv$Gqj*L79j?oSW(T-FI?HA*yA3uuK?GMyMKAw$!|fKIf2vgb
z{3~g)>ss^#H5hX^_<Z#@F!I$ftpd*2mY?ImsA9R5J3u^hUq;8AePs2@+^+$j`i&3m
zI?R6xH#^t<e0u-XH2&CfRCGP!+&Eh$Ij}@V34aDwLn}elnDzB(ls4(_6nvvtt+r>k
z^L}kao4_MxOE{kyPl5l<Ko+VL=GExHg*E<frS}8B3pdwNtINFEyiep$_w6FR9Fb(N
z*1oSwg;vXRo~8v7c};>RRunJlhdxvhi(@@Pb*-b6OO$UDb8&BEfund+J7`dlv&!lw
zV^y9~-p|eCb?c;WJbib1H6kK|ys*N*b}pdg4X=qc>a+SXd1FJ^5-qQGev(njNgZrm
z&91>yH{<??y~c7gtnFqeXP>Ny&3YIkoBgXz4f0X^!MH2kS68n<?4RuCcz-gLvQJk|
z;K-G}q)R=LVT9hAD_xLCa1Y7l7R>MR|9LrM|0T^ay;WWV!E(a6z$6uh?`wE(V`A!<
z*m}R!^VJ!c48*+mEz$bvi|wB9CQ)uAUFFb1sMPqpxa3nJ(y3;@LJqaWTQPE(HmeeK
z0()*-JDS;P81I71zcSK>-8__7|LEYto>Ie>Sx&akB2t|ZPn)tiwE8jIeuO@eS@}?!
z`LnRNyW$<@jDPH^5C4)#|4UgU;)@*d(P11%A;RJ?(=G=oK9NXtJ#A!|*PTAgfKcLz
zv6*`Hlrt^uUTQKl1{-MrNO*)B6=WQT{X#pQHN{+?*{FhD*(J9oUnoIvy09nCXvxsG
z8$XP7ukW(5Ei-g5EpmInspe=Kc`tb&O-KT_@Jw4u`c>_(v4N?A*patWG|%7F!){iw
zk}l#+DNzT_9#YECb5CD;V;693DtYrgE}J7+`Tal|NvfQH1Zj?Y9DZ5J7J;_XllzF&
z=@sz7@%#bSNz!2q>)$%XOENg@My=D67m@Y4PqI+0p|v81ewb;Xq52n2kEETN?;G&6
zwo1Q`-_(Gj2;-hSzG*t&s-6E0$h&_P5kZlD(__x>%KBawrr=W+ZBf?XxR&L1mM(s=
zlxX#n#sQ9F3oTC{rAR)><0s>@EqRX2p7<ZAg}LlAu5{j<5=3X&ow6f&vJgJGaqr+3
zQ^`iq1+{%P`WAcme4EJXZq8t<X7&`e5<g4))YfYDqNAfP;_~T2*kA9u$B7)>k>#1K
zvmxla^q1`urLSc7@BC#YR+a9jadDU47IzgXM_e8Toe|L-%k0N0Dg=}EIxK7f5On)0
zIiga1niAh0GTo-~T%$t3YJBD$1z;+BtJ_G1?BUd@AWHpjM7ak&%PU9AD~st7>J6rd
z%cZb|(FXmrUEg-PEy@XUfuk%jcTFaaw#(yqIZrOxpk;u9HQ>q+dzdTa8<&7j#LZU>
z39GNcQb*1Q%|bQC{aH6i_BVHSMxWFk+&iJML0l^7^=tRzgNbt8V)J1i5=l!$4+9|&
zj>-_rLR=}PArh4Ivzc-Bh`KUyFuuc))IAC&7$^Nw>nQh)xQTDeGVei<dq{Wu%FF9c
zJ5M@FJL_eeSBNqNzouF1j=9oBGvo0J6vh5gX!k9i+(Cg-ui)G>j5l;&Q1DKov<a9<
z`qU_-xx#R|vk5I_hxG9`>5~PdLF#x(_LNNIK(tg;;DdQ+)5k}W20<kAL78vyOC7rz
z>BiA)gR%xX_MTU>I&d?j0$>49J3Z?=m66T0M<X(OYKvXxWmXD<8*Xwpv2|(HNYrjc
zdULp-xw-agK6CX=Q7TE-9GMH^xM6krZIcIsLH+2!Wl|S*fncnb=}m1mS%xg^`=Vk#
zI$HRiH{@A_(cji;X`jcM5|5ve)CBj~*WqE2k{7&u5dTcf=(o}@G{M={{pgSp)sEnx
z#x)SuUfIsLtNx7}-NXq8T*vENs3gyO*Tp=K-1LjhgFu!xQrVf{_$M=2qq{nCEvrPV
zKFj2mmk$C)Pmiko#4jcX8VEz#4TN>(7qx<j+e>`k9%ib=QPNM9*3tz-?or><^SCDo
z3`Sr7e3{{tf$@J8-g<GCI1qQ)q_#uap)@p18+3>bq{0s|bQuT%DP(;|Ng(nC27ymA
zFK>QxgOhxLdNR2YqX|$kFs)wjrmwMuimKeI2r0`jRe90pZY(z99R&OSw9z-K`q+6^
z3+uq(q|r0^lXQm^wz$nvmuAW$l3iyiCzSgN<2f@?L!p#uk^E7;tLgW99qM&+FDvIn
zU(yI9>a!A1I;Si0TRpXpdEDV*Z0gp?rDRwj`H3LM$nGeUp(p(5jPR0XHbd7zY#Fzp
zv70l{c8FwXXkAYK&|`k(V2$>t)I_=f?!Tv)ChX%Nx7!T{G26rat;cIB876dswgvCs
zb1n{k`C^u#`FVeT|JS(6JN<I|A<0IDtcO_>Hc~6C50T>Yf`SRW)UC|xg{-$SUk$yl
ztQ>{EjXZUTEsc+_5>kbTFYVh$$HMN#;bK%wJK|A8)(5a={=o}-2U1pLej$A8(RZdJ
zL=KyF$gg>-3(6qFgF1{d(6>H>oWy*2$WXmX|6&sZvAGC>;u9x+El|Y$ofajIe{Tpn
z&Rll|TUbZOKa;@#95{%`+F3~+74S1bYy;z3{_#E+@?;{Zbx=X=zT|3`S$|<;KisjY
zKVFkM@}J&#dSZu#?6uRvyYi7QcMR>o8)yAV;}2JBrWuQgeZ~Cc6YwG;+=1^A6i@0R
zPHsN-n0Dk%jux4<Yb>_0=hIv3|5wjtkYVRs((d!ICll_nQcO-m#;||@S#cD!U{eML
zhV6}{<8L70al}cumZ>F*4|7(`rIJd#^}86MqH7*Uk0x^XHGZ%AX^&D=0*gr-<u4rC
z(NZr)Yi|544Xx<Ys$ZVjvyn`jfr}=xm8|}bwa+F`HXY_69y%kd#<*jQs#L49e{Z)v
z?V051NBpLSXH50C*Q3pp&#D>)OeSHW4J}w{-t=R$Sj>4~v)svE^nKDUJpV!?Yii7U
zxrF|d1bJ7)t(c!*_*3lL^72#d4%5|`t5`HAU$R+$s2yM@ebmji$$&qoP;rSoC;al+
zE-^_ChRC)uSZ7iCjnq2mSC@0n5J@-vLjfePIqDd>Qgu`p`Q3~5`3+vY=9jBpBZQa}
zL8Tf^<s$etX?AaeX$lPu1>B4d*o|$I$+k0wGI>kb{h1HdGPui1={bLuQ8w!2kasDU
zo?%)hbK{9NO40YGHIg6VKc&}F!l&TA=A69N6<Oy<Xfp4olPT^HcgOTQU)=lWh2tMh
zy{S>@mdjO+KN4@mUa?nnRCG^a=wj-OD!xbKF?`LvSZkQZrb_XAO|#*7ty@8q#ywP2
zgbxgCagUwX1JkMrDDLjoVG@sq70_Puyi_46%7rROcv;bm10DXl@M{FL`&%J{1g4!0
zuGH~Qs1+$kde_dh$mD9W507zqcJCh?ysIAjcun=$-(X`U*Dr1<TsWLKc0IIEBCTWZ
zCoD<RwmEI^ZYFs^l~|51XsHUSKurqi1Fcg*14fwW9A0PDFnj#=W>6gXHM4I$v<?NR
z*rFjtbGT(rt56<K#N^lAP)-7VkqA#ZNh;5H3|8$dV!KCG84c83m6g}ec2bn6Y9#u%
zx4&APf1blwzWq7to-~?OIKSNX`s9jf<6Mf8q3^ib17a`(^suBz^$lt4KdZQ45kOvL
z&Ve`36Vey(6GvXSKQ`8B(|T?0wMt)%$!5os>t`y>7e?j3qz<<m58h7so7{pFhLB-Z
znacPs;6N;xfBV8%j1Suoa*DAMyFQh1J_tACzA);{pmdHzfmEwB2UevEZ)mfstP2~_
z{71GCCJkL*Y~YFovPv6XpVC%TSFE^o>k)_ZR?-+Ii->hs5s$LU{G|fX)$W8rvU;nX
zXB*dBHZs;elqks>7AZZ5_IcPc=Mq65qUpqcTdDgainK?iE=K+3q*#}}!)1xf-=?jn
zT6}q8W3ta!)xYy0!Z5Tx_fSvf5{*<Q4XarI>$Ml(yINzd>Te2O?D<cyA>weqQVZge
z8v?Bq5iFQnoj$_JgwbdA>W)s?p1TIu@W4k#bU=-Q_xl>YK!Mz;P6|EdXZE?8M6<<&
zA}%FzrzCJkPdlrAzV`M92Nxf0#tqu$=<KF|eqy8FOpP^kJ2*>z@a}Z|T1JCQ&fB|F
zxE+Mu!!S%5bZLaf7pW{AX3vKLPP~z@+XUsw2aG@OwUK!xQlR%JXTQ2}#QoqXjG(2`
z<B<Dga@ajt#iU)gKC!S^Q`~$5_)ZqxdHL4jILh<?#;Wo!$Fv9)eOQ_v5k>4>uv!gk
zGa?j^fEy;`{;z!B>P+xm(ntDy{@UQA%R!2@k816mt-F$roncj!o{{=%irUdd)oa`8
z&U*CvoL?0!(|}J{*QpZjh{Q98_JYeXP<DuYy=3P6%|P!FN{hKUPi(^~>D#y_k&6(t
zaWWz_BFH9ukXzqS0|0y)r)EDvV$y|f^R`0>s-|4irLSpURsWdmZrsLLi@mVNSIOQT
z^7-ZeCfSrz&47K&X*IA|!ORr#c}dS0ub98?dw3J>(juj2TJ$A0K02hfWPzc9>|SaO
zMihX|GrRL#r;PIb3Sa0~BUNlAS?7NDNWT=jf$tCE4ECS*NtOE9_~|cjl1`1~CUN>*
zQPys7eYp`ZuWXS+3Am(i^795Sxq|%XHH8h@^c{SUlt-x@qocp`U%1OX?45k*^<-2$
zKBmp1E`GA?DIBQvn4Q~Kd)DGN!l9ObST!)z!(6|Qn><11_&dLOayTvW(Ub*ATUaUC
ze|D^lXl|JqTT=1ZnX%|&&Bb4Fr-%;6bF2y4&r;}&e63427k@fUW9kPN*SWG$6;X~J
zwQ1?>a4a!j%|H&)hP6A_Vj?b&k=v<0i9UP~Be^z0>#UkCy#IsJt*5$Y*Z7Uj6jryz
zfv0cb5mvloOcU9KfQ09FNTQVDru!2L)i8CQ@*6N&-Yvi;(ltt+mRUfNYNqR68YBN+
zs$BQ(=vlcOzMF`g5$pFd?DGs{x?233YC#O=1cyJ6zDIenG+4e$T7GT%J3mo4lf`@S
z4|tvv$zK}SpKP`;g<QN#YtidNEwK+-X>J6>^2RcjW?U1B0&gi!-<>bn3{N$rKff;N
z*3Xq=F@YQEV$29PU9&#E0H-nE_9cANciYjaJpA{junHxP40QxE(b2`W*CP&7s+<%&
z^4YSwDVnpt`JvT6quF|-ygXRt-&_W>RC)8Kocz?duyk9($QSib9iR`fjr-_c`uv4^
zaf1W_{1S;ptjS!e((~`K6`GwYyLN~510}CL5MTF^L1|B|rT@c~gZj&r^Ov|uo5OI4
z$fldkS^TEhdNebN;#bP~+xD%jX;kEAq_YzS(SajyNbggd1~Dxfe>AL|{OiQU&KJc;
zjII2By^?#I+6F;qe-+T0yhT|THT(ZsiTeJOtAE#>mNQ@Q-QKvSaR=W@<JQ(!k<Ib6
zx-8sMm9@k8p)9=1B#%VWEnqL`+e;2U9SmF&#i_b|$8kMJgIX4*<$cE>QNcHrJa9l6
zBTtM-?CzzOvRa!vpenr&8Vs%Jzq1($c)i;A!ke+yx7x;!>x6GsB9$%WpY^IE@6e5>
zNcpO_8YUCTdmK$C-2(1buR{#@iv<FLMDscP>9M(81B@BQ1y$E0+Ut!}c&ZPRIu))6
z$eV?4JM$9OIK1F0oh^${y3ZiZV=){n=bm7tT5`|wg|SO;pFme1SFFRsOyjEPGs+y4
zRV*fRjWWWwZfiOCa$qp;2A{}~3iIk$=}hCwcY|*j;q%w;vJx$pdamlo5I(7DrY^O*
z@b~2OpS>+eh|9N<UBIfyr2RP{v5ot*2cIz29^aOXd!}DA?2GgTES{@o*D6>83+>rD
zTJFFvkvy9nR)+oP7HeOz@RoKqF7vx{pJi$H`?fMID<vSbyN#RJ$725V=(>*JOjM&$
z!MG+$4c^;Vp&CZ~tw-q-4?6f@|7z~>d-j$XUM_u*S%M%s-0D3<jA!}T{?r(KTT&0^
zI0nyYH~Q0UX;ikI$cu^9dXEpJ%Bla;5+Q)mCmA-VPJ~TuWvNt1*yKP|L&wr{Gb}`l
zrbKHIFr`;GSk6f*=(gUpxJg2hc#(j`BHQ*lv3PddSydkeHXKG#)^ebh`v2VW56qib
z`xTT;j_<aveBevVWT|Lo%BwHiU8t8hL*4bA<IvkN^wP{`U&9`johA{#u+_j&(A&p>
z*Tj@-<g@*~yK(lFQZ9eW>1<foh$<Mi8rQ^@w3PHr&jcEeYGyj56-3KI%Of|cKfmWa
z`fkFAX5IV4G`h(6*B%9E2GZ-p_3T}=wpbYyXj2Z7+qh;b!_x2l`<x?}FD^V6d_i#m
zN9TFuJv>{o^#U~^l5Jf1d=|{eaN~b0>9OzeDjh^w4a7L#g{LnD2+gRfsr|Ma+Q|^X
zTfD@kE{2D8;k#+|1`wci^w^^#2^;G6IOFTQL!4@YlwFYo8RQRP9jB_nJ#)P6IkyNA
z@C@fU=dPy@buiQ8r(FtcJHASP5O(?CZY5r;Cb!Xy7K|SQ>i9tBe>C&v$|LfwEB_Gn
zPoo9vchcu5a>F|ubeJ#K*ax;ZH*s-AurN^0Wfo~CvB*&J)6n!drc3+C3gX=ryiAyq
zi95PiLdQslm2c;*uR4u-{bK+#$Wzjd*$~rMo=gny?cMJK@!;0`o#8y`tjvFhXkWQZ
z>3km6grGxy0_F%4G!`*xvXGT~i2&|bLA-2IOgIW?7?Sssohsjp2$FYJFSjR5WEzlt
zT58`(UrRH=7lLY<Q%V0*TH^d`ar;yIh03?oxbgH!DiCpD{c)x$K=4$}Axu)XN#J8R
zF&H3xXp=%qB*D0lUpo#be8GVkzNEcZ2>yN>5M!fnb&GA`Q1`gSdFHi+?S%UdQSjIw
zKBoKq&4V0o=21~TO%G^HAo$^U(hdVVM@|9xnW%8q^c>h5pds$8Fr7lEhBp#*O*Rx(
z!1bOBD8jwz(0q-djwRQhJ$skd-5VbIy05tur<a}?%}`CgGfHk?^q9kWPgvkCr6iku
zKBu$WH%6_u{_7H0^mMvcD7{VxlyE0H@R{H3JN;N)9id<DCtPZ2?7Q+^tr7H9Rmi(2
z^~>%wPWj52smHV2(%f?!vMr#7*m=1YUyBqy`ZCl1SEX!Zxp2AWz}^-3WBx}Si4tPH
z&L>BDTC2}=IY^KaGF408{h7)x1`9WIbiA+L);kGO(oO98sU=BD%=J%9peF!Av@{ck
zE(3g+I~-uamo#DC`NoVya(A+4G~MR?$L5X>Ffy^Y!q5c2YCjMN5iiogo0p$bDPHF1
z58<9Z{muR4Bt4VP@_%nhE9`S%+O5O2eej@Xe7mfC7z`(9<bRZndH^YDdz#Dhsee~t
zS}2PQMcJXISdpCNbqw=XK@5|p&Pn&0$#{(45`GL3RGK1EFs3DeXGq_U*!u2I)-l`+
zcAz7hn9apWA7D9KEpX5^3gVr0%*3HPsAx}g&QJT4!^&68n%7WM?I}GNQ>PAQvdK~@
zrTaFM>J*wIIUdAS-2tvPBEtlA?)SxTL<`Y2k}=_HQ9;VaR-_-yfo)8S8y&P3t+Y0R
z{puBf9ES<64aaKb{HzdklYG*!+ey}ep?e8Hap~J&GPC<Nkn_0ER?z0$74?$w@p0pW
zpBqoXy7%_w4PgBbNj8DzdXl_5aVu6VaEd{A_hfcN($Qwt=u-JVXD2JV|Hw{W5!+Pw
z1(DkVK%zgYw7Z>ekTB;R&I_n`{SwRGp6(U5S+ONwDuV)muDMmBGfrZbzP%shPDD59
zp%mW%@Jw1T9q+c3kDAvWZWn`Qq+jddey>V1XULC;&hHBfLX5gOT17A<qM}?ATxFvd
z-ksxlvV0dDm%6E@NZVG1zetuK2h^jXNY+~lwu1ly14|mrhG<I}b3j~5U#tZn5Y4&$
z8f1`Z2N8%menjaM)OB<qMoT2{x4gW}@Ui2WcHZsbMAv1SJalJjg(ip2J_`noMQ|bq
zX&=$YAM`q`p@$e&q1lnI$~#^PDd^>zpxm$t=DBY_r;hUZ>~$zjS#m?y@=lJoAW?~^
zc9udQKgzkXnl@7*NXxtEO2Ath6Kl7Qj^?*nG78`{?fPDAp5=je5Z;6pf=kJ=O1N4o
zymXazWbd(^qy)KLhT;_rQAR7=wal;@U?TgK^<60hjH0nS&6Vs7%zISPvkxQH)}pUV
zw_~_`NO1Jtz=kkrYjeH8(H)<&j(0b%jxv?V{r_kb8^r58UZ_24hp6;@2uzj%)$IaP
z4tQ64*7vFo;ZO2F<O1_%BbZIENbLoH%so+zT>f{|xhIaorjm}(4MfrgdfRBQ$V}`7
zaDcrf=;#2k4jEtqF;iah%JnvO{}Fqe){m&9-KHyxH3!Rd`+KE0{Rq<!rjmq!a=w*k
zSc*6yqdU#*K=3^g)Fys+PLx<@BMkuOi15II_%dopX2U2G*XiRWo27FGo-8Aa0|rEz
z*4oZydR}*We27H+c{fKf%b%Pzs7If!^ahp4t(L}w&gT2=(VAaF=gV?ND4X`#jVCZ(
z`MTq_8Qb0xd9*pEg`fXam6d+wd=p#7>ICf<vZ@-+26p!s8LFYFpLCo9ugh`}DSV=7
zjbAIQTVveU6k8_Xc_5fIFx*dIB*{Mh)Vu8zx4|2%c&eS>(qge#iBi7^1g{dg_fx!?
zT6Ogbj%uL(;CV+TE=&u@UJpmpq(?}(G8^ChLi189YGOD>^L8lZ#jHoRidKS3L8q6J
zlXi3l%F9x?UVNOzPF|bZx~bC3=TSW5sF4%3xExbs1Ic!<`Z1P)XTbF$%NqjJBrnm+
z0@|Mug|>to@7D`7+NEDrWjLHo)8v(h3Tzv7f0ACK`y$Da2D#}N`L2@JOs>MXCh&?G
z0=o6_BqHb&rIp(fd$uyK^+$pgr9`!n>%+IC1_F*J4cEeV9X?i<#4m+gw!}Mr5jI#~
zukVw4gdUqVsuHEm=M1pM6{#NXiOBv4l&my4$H_0UENizNB1Ik^uwmrf-CaneRJ*H!
zOL?~ord3Sjy<a0a=h#_Km+_Af2pz+}?T%S%6^qWF(Ji^86JlZ*&iU-r#j&1(H4DCC
zs4+uZIB%*+a@Vt_*+Vey+QD;yy*egD*R<gRUobjwVa509Ht$>tTQZ$Wm|-XcDs%kT
zca>POnP&6(2E~IyXbu?Fp7O`<Pz75RaZ%}xUt0a9lFER!z@M}eb&EuPB<oCd+?<PY
zE%qDo4<U0x^59FT_NvbK;lj?ct__56(}qqFEzj<I5urocRT)Y*hW-tm0(>;irE(n$
z`FN~xytGCm@4r)65S2xW7K=vXO6BopEKXK)WvpEtYx#=TrO6vwH2SLq+|Gy6JYbuN
z>SKyrUe7$>cBgbAS|lNhl=$wzUBk;&c<Wa4e7+3RE`I&3KtWOiF}&3b6-}}$H$@oG
zY~?9jOcOCh8>5$=-{Xn$hPb(v(Ee`?!<Di<?AOAZ-Vo6e_2&zcFQWj{(^bbGWmw58
zS5@pTD?KT5`7L(VCLZfe#O?p=b;=gdYRuCN_Q=v@<{$WhN#H~Ovo5EGDU!OFzC;#g
zHrT^OfHyM`)7BoDTy?$dSFv2H_vMQO`n7pyFIMBl1mVfPJxp<8Riu02h5flQgQ@gd
za{I%W>li4Sd586dM%UYKXo)X{B|Oi^RAxRn^MsX=W2(Q0BtK^JF?d~anH2R{MskUF
zNK3W&*Gle50ei~Q6R<@ZhSOh&!2ARGOWGQG<|6LZ5e(-oYpsng-M-UO6KeFwc`YwR
zaM?)zpn<w3|9KqyOAX-HtmJ_(b5M<@xd-GE=JJr^$?a#VO-&&uw15FMNN2L2QEpXa
zBQdj7>3NS$8^S;DrlB~s8NF`pLhGImC&jA$^I11Ye}&W2G8G$F<xc8BZ*Aq1V~g(+
z1Qq%3q%%1F>Y7{|#$aL%3|eGqK8&BjB_dO?(NL82xCO_~lQOU7hH|h!)3?>kunDdH
z>I~XiedWO!UzPN_Cr?~DVha|UgL;H&>^Zh~JHtEcum1gNAyTP8;M<DM+bSw{y$c;B
z<$7i3isZ5dht6rx0U?Rp$nWjB^U?l0!)B1JY97%v&RCPq`hwAHq>s{LPH()^J{;MN
zR5nUGz)=b6I}75dZA8y1U;0>h6z9X{Z>-nQhR$7rGA_QvLvmtxe6=jzgGY4<))@z+
z-_X`m><d$+au2c=C&jSs&a@U|^vm^h*#K+^p(r7rktMwW*gnGgdSW;*$)bY1rp)FE
z(mu|24NVEXl)^2NLiUsA|CBcRtMmt5<9S<Nx^#B^(wj>APX3=oHlfLv5$I|cO}4a8
z1#1tl2IO_Ra){m%gC->;zZ6)yx`s+`9J<|O3~vQ*yX00tEXU?MjU1d8VFstlSH&O_
zOq+gbB<s>XTRCNG)`pd<WL3G3>&;>6B!idj6FplZ2i{GM`X*VYA$e1}`hhI6Rr(&C
zE^*z@6r3~j@pJX(gI*RVl-m+o=|<=<_pBAvygC=6cFOIJ+-fL<?kD4WcEa*)U+D`e
z!2WI0jlo#^_&=wAttoZw=-!>R3UH#JRc(%?$&PU*6lu-5lVeLbN6DKWhIx4Esp@nO
z8h=ycrx4DcEnl4dTn<Zd2gI&bt9E)nwOk8llO7_C3aFcRrBc6}=xk$`$|v7?XzA7w
zKJRu}ijr}4xcYP2<wPzBUd*CCO%?NvV2tTD9y)cM3;J@+u{k3kJksZ(^-J)c?QY9d
zM-O@;OZ%hX7c-}-GZet(93SLeu9f@l?Dp7o4<pHhyIMp{_T9Ukej9P&At%!}n&?jd
zwWtF$Zh#|K^`S4`<vi8H>eJO>wt`*>nALXvcjC1K{rbG)G1E19zb||f|M~b|En3e0
zff|CBLkd@?G#ZL{zB{*vHs@UnWL2A&REbDtk#T=@OTFve%J?IS%z$Ku?VzOQG!hLb
zg2<fg{j!;Uk%9)ri2e+nt%kVuj#qBAhZ!F6R^ml+*V-`vt~x7H&_VENu2?3+>cMCg
zU#HR{x$5)FBN$b*&#BY<i@xui_wWdh?7IMWtdT*gp1YxnY1#iEl|lzNieE9b`JHBP
zbl-uPF-q0U)H?KKCVQF=BXsV2B+ZPLl@8=8SkbIBXe-(x<<_(W?|ive6J!|X1v0mB
zFX}Ug9yQ(DZqn!dq`%#yJHryt<^PDuG>N#jLGbwL?px=@O9nxp&xzw2bKo<fJtzF0
zN{`~9_n6=X2g3JCZloK^EFekD{H`kjEST0VN-?tfhe%A0STTT{?Fz*xu~96w9&=B*
zTe0dqP^u^CjdbG@Y*f?#)^Pc!r;apR;bsD7?&-Z@TFd8sX+JIr@Is0g+bV~5P8!EO
z!6lpih53*o{-ax3DyK`d<X8RKo`q=PseJyKXFS1t#$QKunuAXE4QZb?|8<IAPhlsk
zr?zy{@tJxFyac}a&#Rc_i%i?{AsqSkSHof`H(B<AP2X##i};`)48)t|#N*xbze9pE
zuEw1-H!nXfpI(nKmZDGceEg0^Vt{ydyqT$v;q(Bq_Q%5dTWe$eKs?I;71izESw`%)
zL^jv_`we$XRrcTVrieMv`u6eV8kHPWiQJHgnW=c_G$!Qgvuz1856B|J*Yv2JO(UDz
zZ@LhhJS`Ayz4?~1Staz1l5FlpBGwAF%q3bAWlg8ZiLL1CDMAZcotW)Dmy~YQukp$|
z+q1*SgZ*noESM!5T@;-JuR2XVCsBt#N(<`-E(ayq5^?)X6|<kuBjh-g;dwHD&f@dy
zlcT*x^9#u=PB70pozfBX)694v&OsO9Q^X^mpYR+=3U%aH(@p6@vIhQ0r2jYBS=PX}
zC2BPSM50U_A2FA5OCFa7n3)zZDU)zZ-)Py0QaP_A6eS&ZrcW&_^Rq>OMzSVvX+h+5
zjJL!{OG(MU!drZZmE1Vbfmo$0QabBd^qItU2KzCRrfZ6kAZLM;Q+jP&Qz#t=Z&Xd^
z+;~zD+P{b=n+M$61?)Bf$qB_>;aLflRl$`B#cx9ZywF}RY-%Zct$}l3^qLqOooofo
zxA#mFWEZAUq&|sErG89tmbgaI5R!2=>ATx2aPZjFSPXQanQOFvj3)YTtWye1tVI*U
zV^De>JQw9^Ef!;8$_``ZO-3hwyyzZvM<@y)ARMuK_oe%PZby6nmYh#1>M6%Gqt&Fg
z*$fLb{L!>T^5s67b>P<riPuK9t3+ijD-8$LYesz$^}oFgUP=@-P>Z`9)o^<TEonZo
z+a;`foIKOD^ZP>*-y#7ORtpg4y4G2;8ynt;B_Dzn_vgb%APY!DxQTu_#s6$$Pd24I
z()BL4ABWrSq$_ur{j1fkf7+|9=4GrQW99TKCkvTG1`)iG244a@NQjM|<S#7}9!IOa
z;r|Ru78;xa1#lcAIy^*sY|x2KN8Yl9keHx(2X&l)P4qqYtuOTtJ=R_t4uKG34>7Ot
z{jcRCK|<q0i{DRBJ!<MO_76bkxf0+{K#pMuHft%S_IF0Y)0x+!OODGQXGa*Gd^1KE
z{D{@yWE!Nu)bH;pwT587QA-g0;<1^=G<@!cxbg8S$*~a<N<+IZ=*!wAdhA=B3}FLl
zC;uHpvm|#ub`M{XT*Eu)KK|Vu9i)vM;L(zrq_2(nz5ZXIx7?xEZPymb>a@`*G>RPi
zV00STz045MJY*4(Y~$Kp<kNX)P(1>_I3xHo8mMZFU_fV#1Teg0?bIdr?k_AX6hn;i
z2Tvd(A$>|o0tpHE(6(F8_1pe_J~$X>dZBjW^v5y!w>JrLxU)K3SaN*_s|3(Aubx>a
zTd~P9SDyKJDBY?{B4glo_7Q=8-ISGMBnccJO&gp_Wrp65oOW;2@iemq@R#qDb~2i^
zDq4-=!;GeL)w}5jRr)WD-)i9}MX3}@Qbt`<#3|(el&pR`llnQK?MIG#_@*>3K8{97
zpSzPvy@eCRuz5HYke-kEPMvfnmrzeSw)PR83Ad+kw{V%C$MQ!X$A)+#LpXtQw{WlI
z;ExgXbVOb_?VgjMUB$yKhIL3>dQs|Po;RnzTS!5EKEt*hwuew?(z&l+u!!i&8maf(
zd<(&}Vr&>IwzK=WKk$A2cRjY7!^`h}`)}>+=)1bQ4%K`vSq##;aU%roLSj^EM+XA)
zf>Cuq|MvRtGM;>kACU_MVYA1x<J;6g^P26RSmr^3z~D=f^)v^N*AMDHG`mc*%0C6F
ztt;*3$TtBMOw2aPO%k1uknniTsy~xxbQa=$1;_+cpxnK$n7SS(h!SoF?}y!3#h2z+
zcoSDS4625JfX=_^=;>LDL`}=AZXE`Gz(=P~GQAZp#2HEPL#H>?Sj}<@lbGpDZ_wow
z0JyummoA67CJaB{jD0bEm=N7iR>vt8XovG;UHSzD`}aI=6M^4P<a5ZH+oo3y<)T!C
zKj2r<WH;1S<;j0wVsW<73EWX=Ydf3PwzQgweXqm#?&-oa<INAmhK!#V7I4*sdDoP_
zTbod#`B2yYTYgm`aE4^|^-M-#zT<M$l4W86L$y_^kkSzGxMV#Ye(>J-GPN5CwcCu<
zAY<vvIp+^3it*gZGA-weQ%iK$-Y;-Jab{RmXsgVKp>LiKBA0CC_n3&Eq+|V7N>vl)
zvK5;)^`NGaAcuhSLmg-JX5UhoZnewfMS>AhM$g|54<>P?EU66L3K>904G7l0O8!>E
zS%QL(o7>3TeC73lX6h9F1t*N<@nNd-a_5pCW1zmWZYvn$#$N<RpCw$ica_n{=KfUw
z8`l@-+y<caMtEB2O<{gV<~`@{zV#2w#^!fMct%D?*X+o70LteI<6cpL%%kA3S{k-U
zVu-rCKo>R0Z}Fz(z9nOv&rG4n$rm1x(XQ_>i`I6kIVk&+J<k6+Ps&#;VDoioq|^p*
zXRg^}$m)fpr58*3)r<4pmu#GulVD=+<3dO+eqk`Z1kvWh;iSXip17RtZ6}FIwQCzg
z^!y>6(tm!5jUSwOz&|cmt<c^ygRDnW!D3xq!c&BZjcoDgU<DamFbd1h&lK$+8{JZ9
zK8vmrK;gsGSzz1QesAzCgGrZ_U|_UEET;hN*MIV4rzg0&g~{{VIJiJZ5KAh;RD(GQ
zNI(<Py%IP(IXB$fjv&H2gy_~cB(@^&c^+<UuN)t(IKlc?X8qwr6+73b$&`a&$&m54
zE%c7B7(9Qkolx|F_P>-;%k}@TnU(C+9v_w&)ngvC*Zx*Tg1*SuVp-2)rsFlH6O(F)
z$L7UR$8HJ#qpFRB6?*GpWIg~4LWYkERV+&^(u54)JPC@zvyYzsM@BR)qjdYSdc393
zgxf}eXDy_bv2*tUSXl{=^&&jkjgm2U9Rlt-d}g_rcp$OzGz4Ktian~91I9l9CqJma
z;B=zzG<EC|7sUPRi-Xe)eOX87NiOt9P;emSN!0l7qniJs$p0008Gl5OLqsPyl#`Wc
zy|lCh4pS=vD$WvU0oj#zPfjK$JpQUHXw`R#PRgSSB;(}w*q#5^n`{v6yI93PhK3-H
zMi`ob;O0)BG?QSUGL9#N^6Sls(E~%e8<ytaZ4MbW{Qb%BWR`R+Pb0)}i_D2^2CTk_
zzlZd*y6|^wIx(lW$gV4Syw|OtvF>uA*zorcs$Fs7JNMo1Ou?sEjLf_l85uz)Y{<^E
zHa`4U2<T+8w;Z{=Q?EP~B6nMvHoqzaP~$KH->VROxcudPS66Hcyu=mf<r)~BBIItH
zCSN?eis-t?;(>f1su`N#am<~hPFy)f)f@K;?sZO4m_CyVgRZ&vYmax16_5%b?UuTT
zS*5$=R?ZE1aB9DREH|SB?9si*<Yk7(12^H08e8!Y+V8NCJa-7=QeSw0Gg=X93z9S*
z(`Gps0JNkLhx}*nP@!p>{7Xvt8?b*r0&Jkd>+6^GDjr$2H;<_3@r2wYmxoNV`sO>d
zJNy2eq7*HIL+gcl9w<QOTRTz#6)5I%(xr-2$@s@-Jv1@F1Q!}53e?dwc*ex{%RLXu
zEn#Qsl{(^{7-Q(&Jd)Xb5?Wq72)j~=g@>s4e5g88yZ@)1{V1XFSuh!4z+yRHOv
zaOf4AtBq~wyt}P0_|^PjJE~l6&rNcFe5ZyADXMyDEaFLF_f&xPMdS7kOfQQ3d_NUj
z>l`kS*iM6>HFw*zLoeF%U^GP#8P%N@92`8iJ&F$T0JFCo(u_(40;AAK#p4ByIN=@Z
zJLVRhQ~KlU(R1vEdn#j&<*-FYhm=#4m=JryOdUC7D03Pz4=JF7!v#iV_)Iz1s7h4j
zP--Hd-hK04;75p)A4na~9?RuuvAIBCyzmCh@QrMrPKExD-PJOetzYo5B_<{scW>=@
z9`E$R$~c~q)Gc-Vdu|Es>3T0NLS2;gjg+Uyx9^Mm3Z{$*uVRTaeNMKpvXF0fZGRy@
z1i6*7bvTGW)vWq*$>GvJxaLi|M6V|hA_WlI)JLKWV3;K?-OKXa&&sZ@cDEci&{qPF
zwx@M{t6qD&h+}GTm#EF$taT|Z(ks*}x{p_O+^Q%^mhhkf?{VQr$5{nrO-j2On5y@V
z652%aKm*<Dnb_IdlJ}LlaB?-T2L2e!yO)pv_s8ZhnP1?awf&*w#MqhGXh*aBMB&@S
zQd1mT=^!+7q0(?_B2^^(^uMoeoU|1j8U3fQn0B8bPiL^?zU2YDor)=+A)KMt8$<9@
zkZWSK=jL%$@V`9io`F1X5)|`h3ITqK5PD(l8PSN_+n61N@&>tm9=C`A%GVCYw3pQG
z=hY%^<=WScHhAEx1~0O%&=It@ftE_QEkZjlwm6@aR0jRM3PISi1)nT`s}LFMbuDEt
zE}mHvK%VA*9)wiIxl~oz6DYFT(=nlpLXj5d^}=`-n2z)ArCG6VobbaR1#kRdw*eLi
zERDKUN${%`xHCFWVpPKDsipUo%ei7*WrnT!45q+>gt&$^tR(?FsR@miofmmLemhtG
z2xLd_9Wmh7KVeuPoK9pK^0pU=n~{G@5#KO;Fz_=W*pGhjYVgQDL}L2^lZ{1x?o;|@
zzJrm8*RK)mF2e2|B2}a}1}sPoY&S!$;~R_+0Ptn-*!|u~ZJ_E52@ROs^kX;C<rnKB
z-#0f~F~j^%WrOC5D_`DsbiGk5zVkTLpUL9`!rVaK0E~?<tOf|pHZ16TYabLMZg-^k
zo4d!nsg|bHq`LdS>z>Pe29Ph{LAd!b8rgy+ck4+;K2aIkf}4CXJHA+VQDsAz9#(=f
zSeA$me*+Vt|73>M@AdX4uYCuWxkD<kDjUTa!GZ2nhk;9Y=r(Xuad^e^*cIt>Eg>f;
z^(x*q1&h&@dSnV#bocC1MAGkclx~rnz=6VRp{D<d!2tvv-$St714rg$1b5rxv5Lpi
zNibZx4_a*0VjCTNOAQ2Egu(qE=#1cxpdD1xUKKQ=J@ZiUH6Wr<`ehuwJa0b3ui7XP
zl7Be%zOE~=1&Famv!NEj&|NdF-T#tb<~k-8_s2A+dJ7|0$Fl0}{KF^ka%Eu6|62Og
zZq_pXk2@?Z7G6}Fjlvat62B;SDn;ML%95xZCX~nq=8nY=J`WBNUvJe|M3&cksRIbf
zl{!!YmS3;)$V{>jNMF#pA8jPHOvQU1?e)UsA1x~6JnLjr_>>)PU%zw8V0Ul2lG;ct
zX4`VQke~oo8iB&SvPuRjE(17Lb;iNF2<R*y6WK(Lmp9?~!Y?cgRFIB1A+G%%f62&4
zIw*^-c#&QxFeNq}OZ9@bM{M$!@ZBbkk9Gz>0a^qrY!gU2K`FH>D=UhHd%@rSSU#Gd
z+)2BdpsonP1|{D31exO52l@(Rajvzh<t=g67bxWO?W-lA|Cvg`ep?Rt)KU+3CTi^$
zmY_tULP7|=2sYOwX@4Lq6%Hq274X@mLh|R*ujS=n1Zi?~gv?#yH*1TWLmzLW7s^uK
z8`gScciL>@CLRBtO@qU+;vm#l_Gr(Z#iy@QukORfNrjY0y|6KVp0h){>Tk}ag(!qb
z?$7mb=Fp+5cq;a0;!eI1xIw`++ok#P^N&Q4ZAnNJ3(YHL!+5a2p9*`2Jk#Nv;>jLZ
zF&(X+3b>8suiLnti7kVRB*7BfLzduv=>;!G8Z_AlhMDd@osQ~VDxY8k=SJ;IkAu+(
z1*B9?gC%_o_Ng?!RqSs7hq{@f@xs1pt$FVAm84e)6Dhm6*wHfPhoaPe?;N-WsI9?Z
zv!gg{E4U9?DN;DGi&nrB`Eb<3!op$`sUd>lNh_R#;c(|im~2-Jmh2Z_J$0M(!cAq*
zuj17!wbtGQu#x0GP)o>xC&RKo)FLTZ;e#f77uyJA8x~~iOM}Xiows-nTs{Ge?wh@H
z@C4IaPwjDTt!C;gRl|eW3p4V_f|#Tvt<mTZb%0V^!pQ>al969qu(>k?!U<Dg|Dg8x
zz!KJ`7tO&8bnbJqOu3abaF}{{-@HDlylNWtc(w)#_cU1&34Q=7_reNCg=D<YYnJ+o
z>@z%psdGq~(=`o^YzFz>Jc1kuf61G+1P8(SCk=+$57-%wjX?oOEq`+p2JBrHh3lFo
zlX4ac9fRJ%+M})8B;{r$){IFY$;?6EB>$v5LduXXFfnD{<s>;g%!o0dJ={w=emd~=
zD<!ORJTBd?<LAcU21GHTi$B1fo`&3c$nS^ju288xm|H<cfGNV%Fui*Ru+4jhAQl*T
zC|+FPsxpqjK*q<OhIwC7xnTHWFNB~{;df$i?BMBrBVhAu<kh2mCq)HU#yjut(sU+>
z3H_RzdjVx<D)Q!z7d#L1mugtYzF2M3BUN3?N*z@2&e=h;Vs)}?fvJ`);a<qu<ZQ#D
znhvu9@^7iSf7$H*>J9v@5BH}l_peOoUrO|!)~~<4$oess<j=0YmFw}kr{EuDd3Cw>
IGDhD22UZ5$fB*mh
literal 0
HcmV?d00001
diff --git a/QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/docs/_sources/_autosummary/qdarts.capacitance_model.rst.txt b/QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/docs/_sources/_autosummary/qdarts.capacitance_model.rst.txt
new file mode 100644
index 0000000..b5326f6
--- /dev/null
+++ b/QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/docs/_sources/_autosummary/qdarts.capacitance_model.rst.txt
@@ -0,0 +1,30 @@
+qdarts.capacitance\_model
+=========================
+
+.. automodule:: qdarts.capacitance_model
+
+
+
+
+
+
+
+
+
+
+
+ .. rubric:: Classes
+
+ .. autosummary::
+
+ BaseCapacitanceModel
+ CapacitanceModel
+
+
+
+
+
+
+
+
+
diff --git a/QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/docs/_sources/_autosummary/qdarts.experiment.rst.txt b/QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/docs/_sources/_autosummary/qdarts.experiment.rst.txt
new file mode 100644
index 0000000..701a0ba
--- /dev/null
+++ b/QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/docs/_sources/_autosummary/qdarts.experiment.rst.txt
@@ -0,0 +1,29 @@
+qdarts.experiment
+=================
+
+.. automodule:: qdarts.experiment
+
+
+
+
+
+
+
+
+
+
+
+ .. rubric:: Classes
+
+ .. autosummary::
+
+ Experiment
+
+
+
+
+
+
+
+
+
diff --git a/QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/docs/_sources/_autosummary/qdarts.noise_processes.rst.txt b/QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/docs/_sources/_autosummary/qdarts.noise_processes.rst.txt
new file mode 100644
index 0000000..f5e44f1
--- /dev/null
+++ b/QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/docs/_sources/_autosummary/qdarts.noise_processes.rst.txt
@@ -0,0 +1,31 @@
+qdarts.noise\_processes
+=======================
+
+.. automodule:: qdarts.noise_processes
+
+
+
+
+
+
+
+
+
+
+
+ .. rubric:: Classes
+
+ .. autosummary::
+
+ AbstractNoiseProcess
+ Cosine_Mean_Function
+ OU_process
+
+
+
+
+
+
+
+
+
diff --git a/QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/docs/_sources/_autosummary/qdarts.plotting.rst.txt b/QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/docs/_sources/_autosummary/qdarts.plotting.rst.txt
new file mode 100644
index 0000000..0de01ee
--- /dev/null
+++ b/QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/docs/_sources/_autosummary/qdarts.plotting.rst.txt
@@ -0,0 +1,35 @@
+qdarts.plotting
+===============
+
+.. automodule:: qdarts.plotting
+
+
+
+
+
+
+
+ .. rubric:: Functions
+
+ .. autosummary::
+
+ find_feasible_point
+ get_2D_polytope
+ get_CSD_data
+ get_polytopes
+ plot_2D_polytope
+ plot_polytopes
+ raster_CSD_states
+
+
+
+
+
+
+
+
+
+
+
+
+
diff --git a/QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/docs/_sources/_autosummary/qdarts.polytope.rst.txt b/QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/docs/_sources/_autosummary/qdarts.polytope.rst.txt
new file mode 100644
index 0000000..22ea628
--- /dev/null
+++ b/QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/docs/_sources/_autosummary/qdarts.polytope.rst.txt
@@ -0,0 +1,29 @@
+qdarts.polytope
+===============
+
+.. automodule:: qdarts.polytope
+
+
+
+
+
+
+
+
+
+
+
+ .. rubric:: Classes
+
+ .. autosummary::
+
+ Polytope
+
+
+
+
+
+
+
+
+
diff --git a/QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/docs/_sources/_autosummary/qdarts.rst.txt b/QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/docs/_sources/_autosummary/qdarts.rst.txt
new file mode 100644
index 0000000..2b5a3a0
--- /dev/null
+++ b/QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/docs/_sources/_autosummary/qdarts.rst.txt
@@ -0,0 +1,38 @@
+qdarts
+======
+
+.. automodule:: qdarts
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+.. rubric:: Modules
+
+.. autosummary::
+ :toctree:
+ :recursive:
+
+ qdarts.capacitance_model
+ qdarts.experiment
+ qdarts.noise_processes
+ qdarts.plotting
+ qdarts.polytope
+ qdarts.simulator
+ qdarts.tunneling_simulator
+ qdarts.util_functions
+
diff --git a/QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/docs/_sources/_autosummary/qdarts.simulator.rst.txt b/QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/docs/_sources/_autosummary/qdarts.simulator.rst.txt
new file mode 100644
index 0000000..35cce9a
--- /dev/null
+++ b/QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/docs/_sources/_autosummary/qdarts.simulator.rst.txt
@@ -0,0 +1,32 @@
+qdarts.simulator
+================
+
+.. automodule:: qdarts.simulator
+
+
+
+
+
+
+
+
+
+
+
+ .. rubric:: Classes
+
+ .. autosummary::
+
+ AbstractPolytopeSimulator
+ BaseCapacitiveDeviceSimulator
+ CapacitiveDeviceSimulator
+ CapacitiveDeviceSimulatorProxy
+
+
+
+
+
+
+
+
+
diff --git a/QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/docs/_sources/_autosummary/qdarts.tunneling_simulator.rst.txt b/QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/docs/_sources/_autosummary/qdarts.tunneling_simulator.rst.txt
new file mode 100644
index 0000000..e67b010
--- /dev/null
+++ b/QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/docs/_sources/_autosummary/qdarts.tunneling_simulator.rst.txt
@@ -0,0 +1,39 @@
+qdarts.tunneling\_simulator
+===========================
+
+.. automodule:: qdarts.tunneling_simulator
+
+
+
+
+
+
+
+ .. rubric:: Functions
+
+ .. autosummary::
+
+ softmax
+
+
+
+
+
+ .. rubric:: Classes
+
+ .. autosummary::
+
+ AbstractSensorSim
+ ApproximateTunnelingSimulator
+ LocalSystem
+ NoisySensorDot
+ TunnelBarrierModel
+
+
+
+
+
+
+
+
+
diff --git a/QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/docs/_sources/_autosummary/qdarts.util_functions.rst.txt b/QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/docs/_sources/_autosummary/qdarts.util_functions.rst.txt
new file mode 100644
index 0000000..542eafc
--- /dev/null
+++ b/QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/docs/_sources/_autosummary/qdarts.util_functions.rst.txt
@@ -0,0 +1,37 @@
+qdarts.util\_functions
+======================
+
+.. automodule:: qdarts.util_functions
+
+
+
+
+
+
+
+ .. rubric:: Functions
+
+ .. autosummary::
+
+ axis_align_transitions
+ compensate_simulator_sensors
+ compute_maximum_inscribed_circle
+ compute_polytope_slacks
+ find_label
+ find_point_on_transitions
+ fix_gates
+ is_invertible_matrix
+ solve_linear_problem
+
+
+
+
+
+
+
+
+
+
+
+
+
diff --git a/QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/docs/_sources/api.rst.txt b/QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/docs/_sources/api.rst.txt
new file mode 100644
index 0000000..c6da272
--- /dev/null
+++ b/QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/docs/_sources/api.rst.txt
@@ -0,0 +1,94 @@
+API
+===
+.. currentmodule:: qdarts
+
+In the following, we will describe the core components of our API
+
+Experiment Class
+----------------
+For a quick start for uing the simulator, there is the Experiment class that is also used
+in the example notebook. We refer to the notebook for a detailled usage example.
+
+.. autosummary::
+ :toctree: interfaces
+ :recursive:
+
+ experiment.Experiment
+
+
+Simulation Components
+---------------------
+The main components to build your own simulations are shown below.
+We first need to create a Capacitance model that generates a
+capacitive energy function :math:`E(v,n)`. With this, we can start
+to generate a purely capacitive simulation.
+
+.. autosummary::
+ :toctree: interfaces
+ :recursive:
+
+ capacitance_model.CapacitanceModel
+ simulator.CapacitiveDeviceSimulator
+
+This simulation is rather basic and can only compute areas of voltages that lead to the same ground
+state, so called coulomb diamonds. This can already be used to generate
+Charge Stability diagrams by computing 2D slices through the set of polytopes,
+but those will not look very realistic, nor will they include tunneling.
+
+To move beyond this simulation, we need to drastically improve the modeling.
+This next step is based on the full tunneling simulator that requires a simulation
+of the sensor dot and a simulation of tunnel barriers - the latter can be simplified by
+just providing a matrix of constant tunnel couplings.
+
+.. autosummary::
+ :toctree: interfaces
+ :recursive:
+
+ tunneling_simulator.ApproximateTunnelingSimulator
+ tunneling_simulator.TunnelBarrierModel
+ tunneling_simulator.NoisySensorDot
+
+
+The simulation of the sensor dot can optionally make use of a noise model in order
+to generate dependent noise. For this, we currently offer the following two classes
+
+.. autosummary::
+ :toctree: interfaces
+ :recursive:
+
+ noise_processes.OU_process
+ noise_processes.Cosine_Mean_Function
+
+
+
+Data Classes
+-------------
+Finally, both levels of simulations have their own data classes. The polytope class is returned by the
+boundaries method by any simulator and the local system is returned by the tunneling simulator. Both describe
+the local state of the simulator in some region.
+
+.. autosummary::
+ :toctree: interfaces
+ :recursive:
+
+ tunneling_simulator.LocalSystem
+ polytope.Polytope
+
+Interfaces
+----------
+QDarts offers a set of interfaces and base classes that can serve as a primer to how to extend the simulator by
+replacing existing components. In most cases, only a few specialized functions need to be implemented as the base
+class implements most of the important logic. Please note that QDarts is under active development, all of these
+interfaces are subject to change.
+
+.. autosummary::
+ :toctree: interfaces
+ :recursive:
+
+ capacitance_model.AbstractCapacitanceModel
+ simulator.AbstractPolytopeSimulator
+ simulator.AbstractCapacitiveDeviceSimulator
+ noise_processes.AbstractNoiseProcess
+ tunneling_simulator.AbstractSensorSim
+
+
diff --git a/QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/docs/_sources/api_tutorial.rst.txt b/QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/docs/_sources/api_tutorial.rst.txt
new file mode 100644
index 0000000..dcef4fe
--- /dev/null
+++ b/QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/docs/_sources/api_tutorial.rst.txt
@@ -0,0 +1,202 @@
+API Usage Tutorial
+==================
+
+QDarts comes with two API-levels, the ``Experiment`` class that simplifies many of the most common applications at the cost
+of flexibility. It is build on top of the low-level API, that gives access to the full power of QDarts. It is possile to mix both
+APIs, for example, it is possible to construct a simulator using the ``Experiment`` class and then modify it using the low-level API.
+In the following, we will explain the low-level API (The usage of the high-level api is described in the ipython notebook located in ``examples/figures_scipost.ipynb``
+that also reproduces all figures of our publication).
+
+The code for this tutorial is provided in the ipython notebook ``examples/api_tutorial.ipynb``. To keep the tutorial concise,
+we only include the most important lines here that are needed to create the simulator,
+but we skip definition of capacitance parameters etc. For this, directly reading the code is best.
+
+The simulated device is a dcevice with 6 dots, of which three are sensor dots. It is controlled by 9 plunger gates, 1 for each dot and
+three that govern barrier gates between the three dots that are not sensor dots. The device is defined using a set of parameter matrices
+that govern the capacitances between the 9 gates and 6 dots, as well as the effect the 9 gates have on the barrier potential and therefore the tunnel coupling.
+
+
+Construction of the capacitive simulation
+-----------------------------------------
+
+As first step, we need to initialize the capacitive simulation.
+It depends on a capacitive model, which creates the capacitive energy function and which depends on a number of
+parameters, the capacitanc matrices between plunger gates and dots, ``C_DG``, the interdot capacitances ``C_DD``,
+a lower bound on the gate voltages ``bounds_limits`` and optionaly a parameter ``ks`` that governs the deviation from the constant interaction
+model and which can be set to ``None``. With these parameters, creating the capacitive simulation is straight forward::
+
+ from qdarts.capacitance_model import CapacitanceModel
+ from qdarts.simulator import CapacitiveDeviceSimulator
+
+ capacitance_model = CapacitanceModel(C_DG, C_DD, bounds_limits, ks=ks)
+ capacitive_sim = CapacitiveDeviceSimulator(capacitance_model)
+
+The capacitance simulation is purely classical and fits to the simulation of typical GaAs spin-qubit devices.
+It can only be used to query the ground state of the electron configuration given a set of gate voltages,
+as well as for each electron configuration the polytope of gate voltages that lead to the ground state configuration. Both features together are enough
+to plot a charge stability diagram and to exactly compute the boundaries of ground states within the diagram.
+
+
+Plotting the Charge Stability Diagram
+-------------------------------------
+For ploting, we have two helper functions. First, ``get_CSD_states`` computes for a 2D grid of gate voltages the ground state. This is done by computing a standard 2D grid
+that is then transformed into gate-voltage space. This transformation is done via a linear transformation :math:`v=m+P@v'`, where v is the full vector of gate plunger voltages,
+in our case 9 values. The variables :math:`m` and :math:`P` are projection parameters, where :math:`m` is a 9 dimensional vector and :math:`P` a 9x2 matrix.
+This defines a local 2D coordinate system transformation from the 2D grid :math:`v'` to :math:`v`. With this, it is possible to create a plot in any two coordinate axes.
+If we pick the grid of :math:`v'` values as symmetric around 0, then :math:`m` can be interpreted as the midpoint of the scan that we compute next.
+
+the question is, how we can obtain these values. We can use the capacitive simulation to query points of interest. For example, when we are interested in the scan around
+a point on the state where there is a single electron on each inner dot and 5 electrons on each sensor dot, we can query it simply via::
+
+ m = capacitive_sim.boundaries([1,1,1,5,5,5]).point_inside
+
+And if we want to perform a scan over the axes of the first and third plunger gate (which in our simulation are strongest coupled to the first and third inner dot) we can
+set::
+
+ P=np.zeros((N_gates,2))
+ P[0,0]=1
+ P[2,1]=1
+
+
+Now that we have the projection, we can define the minimum and maximum values of :math:`v'` in both directions and choose an image resolution.
+Then, we can use ``get_CSD_data``::
+
+ from qdarts.plotting import get_CSD_data
+
+ minV = [-0.01,-0.01]
+ maxV = [ 0.01, 0.01]
+ resolution = 100
+
+ sliced_csim, CSD_data, states = get_CSD_data(capacitive_sim, P,m, minV, maxV, resolution, target_state)
+
+The last parameter is needed to provide the simulation with an initial guess of which might be the ground state of the bottom left corner of the plot.
+This guess does not need to be exact. This function returns three things: first, a simulation ``sliced_csim`` that is defined on the transformed space :math:`v'` and serves as a cache for
+computed values. We will talk more about these slices later in the tutorial. The second result, ``CSD_data`` is a plottable 2D grid of values in which each ground state configuration is assigned
+a different value. Finally, ``states`` is an array of all ground states for each grid point. We can plot this directly with matplotlib::
+
+ xs = np.linspace(minV[0],maxV[0],resolution)
+ ys = np.linspace(minV[1],maxV[1],resolution)
+ plt.pcolormesh(xs,ys,CSD_data.T)
+
+The resulting grid is a rastered low resolution image.
+
+.. image:: /_static/api_csd_raster.png
+ :scale: 50 %
+ :align: center
+
+We can improve on this by plotting the exact boundaries between the two ground states using ``get_polytopes`` and ``plot_polytopes``::
+
+ polytopes = get_polytopes(states, sliced_csim, minV, maxV)
+ plt.xlim(minV[0],maxV[0])
+ plt.ylim(minV[1],maxV[1])
+ plot_polytopes(plt.gca(),polytopes, skip_dots=[3,4,5], fontsize=16)
+
+Note that this function computes the polytopes based on the low dimensional sliced simulation returned by ``get_CSD_data`` as well as its computed array of states. The function also prints the labels
+of each state, and the option ``skip_dots`` allows to skip the part of the electron configuration we are not interested in. In this case, we skipped the 3 sensor dots.
+Adding the last two plotting commands together, the resulting plot should look like this:
+
+.. image:: /_static/api_csd_grid.png
+ :scale: 50 %
+ :align: center
+
+
+Creation of a tunneling simulation
+----------------------------------
+Now that we are able to generate a CSD, we want to also simulate tunneling and simulate a more realistic sensor signal.
+For this, we need to create a few objects. First, we have to decide on a sensor simulator. The default choice is the ``NoisySensorDot``
+which simulates a sequence of sensor reflectometry peaks on one or more sensor dots::
+
+ sensor_model = NoisySensorDot(sensor_dots) #a model of the sensor dots that just needs which dot has which index
+ sensor_model.config_peak(g_max = 1.0, peak_width_multiplier = 20) #make the sensor peak broader
+
+The constructor takes the indexes of the dots we want to use as sensor dots and each entry in this list will produce one sensor signal, the quantum capacitance measured
+at the sensor dot. In the next line we add configuration options. ``g_max`` is just a scaling factor of the signal, which we leave at 1. The default sensor peak is simulated using only the
+temperature of the dot and does not take broadening due to RF power into account. To compensate for this, we introduce a broadening factor that can make the peak wider. in our experience, values between
+5 and 20 work well. There are more options to add here, for example the noise model of the signal, but for this tutorial, we do not add noise to keep it simple. You can check the documentation
+of ``NoisySensorDot`` for more details on that.
+
+Now, with our configured sensor dot, we create the simulation using tunnel coupling::
+
+ tunneling_sim = ApproximateTunnelingSimulator(capacitive_sim, #the underlying polytope simulation
+ tunnel_couplings, #symmetric tunnel coupling matrix T_ij which stores the tunnel coupling between dots i and j
+ temperature, #electron temperature, should be <=200mK
+ sensor_model) #our sensor model simulation
+
+The tunneling simulation is very expensive, and by default it tries to minimize the number of basis elements for the computed Hamiltonians by excluding states with energies that are large compared to
+a chosen slack. By default the slack is 0, and thus all states that are not direct neighbours of our polytope (i.e., they do not share a facet) will be excluded. By increasing the slack proportional to
+the inverse temperature, we add more states that might still be relevant for tunneling. Further, the sensor dot simulation relies on the existence of states that add or remove an electron from the sensor dot.
+These can easily be excluded from the simulation and therefore we enfore in the simulation that states with additional electrons added/subtracted on the sensor dot are always present.
+
+ capacitive_sim.set_maximum_polytope_slack(5/tunneling_sim.beta) #adding slack to keep more states that are likely to affect the hamiltonian
+ tunneling_sim.num_additional_neighbours[sensor_dots] = 2 #adding additional states for the sensor dots
+
+Finally, we can create a similar plot as before. We use the same values for ´´m´´ and ´´P´´ as for the previous simulation, so that we can compare the two plots.
+Note that since the device has three sensor dots, the output is a 3 dimensional tensor where the last dimension is the number of sensor dots and we plot below only
+the output of the third sensor::
+
+ sensor_values = tunneling_sim.sensor_scan_2D(P, m, minV, maxV, resolution, target_state)
+ plt.pcolormesh(xs,ys,sensor_values[:,:,2].T)
+
+
+This plots results in the sensor signal
+
+.. image:: /_static/api_tunnel_raster.png
+ :scale: 50 %
+ :align: center
+
+which again can be overlayed with our grid as before:
+
+.. image:: /_static/api_tunnel_grid.png
+ :scale: 50 %
+ :align: center
+
+
+Slicing and sensor compensation
+-------------------------------
+
+The last plot shows that most of the sensor signal is very low and there is only a small area with a peak. This is because of the missing sensor compensation: the sensor peak
+is capacitely affected by the plunger gates and thus changing the voltages changes the sensor signal. On the previous plot we already configured a wide width of the peak (``peak_width_multiplier = 20```) to make
+this effect small, but in reality many devices have very narrow and clear peaks.
+What we need is sensor compensation, i.e., a change of coordinate system where the sensor plunger voltage is corrected for the cross-talk from the other gates so that we stay on the sensor peak as well as possible.
+Moreover, the sensor peak is not centered. This is because we used as mid-point a point inside the polytope, but the sensor peaks are only on the boundaries between polytopes with different number of
+electrons on the sensor dots. Thus, we need to change our coordinate system and tune the sensor to a better point.
+
+This change of coordinate system is achieved in the simulator via slicing. In the previous examples, we defined a matrix ``P`` and vector ``m`` to generate the plot. We said that this changed the coordinate
+system via :math:`v=m+Pv'`, where ``v'`` was a 2D case. This operation is called slicing and a simulation can be sliced via::
+
+ sliced_sim = sim.slice(P,m)
+
+This works on all simulator objects and it returns a new simulation with gate voltages ``v'``. This works in any dimensions, not just 2 and it is used in most simulation transformation code.
+QDarts makes use of this in all its transformation code. For example, compensating the sensor dot::
+
+ compensated_tsim, _,m_comp = compensate_simulator_sensors(
+ tunneling_sim, #the simulator object to compensate
+ target_state=[1,1,1,5,5,5], #the electron configuration around which to compensate
+ compensation_gates= [6,7,8], #the ids of the sensor gate plungers.
+ sensor_ids = [3,4,5],#the ids of the sensor dots.
+ sensor_detunings = np.array([-0.0005,-0.0005,-0.0005]) #shift of the sensor dot plungers
+ )
+
+This function returns the sensor compensated simulator object, which has its gates transformed such, that changing the gate voltages of any gate plunger other the sensor dot plungers does not change the
+chemical potential of the sensor dot and thus leaves the sensor signal constant, except when a transition happens. This function relies on the user to supply the ids of the sensor dots and which elements of the voltage
+vector are the sensor plungers (for example, the sensor dot with id 3 has plunger 6 as its plunger gate). Since in our model the capacitance parameters of the model vary with the occupation number, we have to
+indicate the target state. Further, we have to supply a vector of sensor detunings that indicate on which position we are on the snesor detuning axis, i.e., the sensor peak. This value is relative to the peak maximum,
+a value of 0 will return the exact peak max, which is a value that is typically avoided in practice due to the low signal to noise ratio. Additional to the sensor compensation object, the function returns also as third
+return value the exact tuning point, i.e., the voltage vector that identifies the flank point for the given state. We can use this to plot a 2D charge stability diagram with the returned point as its center.
+We also show in the point below how to query the internal modified capacitance simulator using ``compensated_tsim.poly_sim`` in order to compute the state boundaries::
+
+ sensor_values = compensated_tsim.sensor_scan_2D(P, m_comp, minV, maxV, resolution, target_state)
+ sliced_tsim, CSD_data, states = get_CSD_data(compensated_tsim.poly_sim, P,m_comp, minV, maxV, resolution, target_state)
+ polytopes = get_polytopes(states, sliced_tsim, minV, maxV)
+
+
+Plotting the computed ```sensor_values`` and ``polytopes`` as before, leads to
+
+
+.. image:: /_static/api_tunnel_comp.png
+ :scale: 50 %
+ :align: center
+
+As you can see, the sensors are almost perfectly compensated, leading to almost perfectly flat polytopes with no visible shape of a sensor peak. The [1,1,1] state indicates a color in the middle of the peak
+and we can see how single electron transitions change the position on the peak due to the change of color on the polytopes. It is similarly possible to compensate any other gates and thus to compute virtual coordinates,
+for this we refer to the documentation of ``axis_align_transitions``.
\ No newline at end of file
diff --git a/QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/docs/_sources/index.rst.txt b/QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/docs/_sources/index.rst.txt
new file mode 100644
index 0000000..ed00c61
--- /dev/null
+++ b/QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/docs/_sources/index.rst.txt
@@ -0,0 +1,23 @@
+QDarts
+======
+
+Installation
+------------
+Installation can be done via ``python build``. In the QDarts directory, run::
+
+ make build
+ python3 -m pip install QDarts/dist/QDarts-<Version>-py3-none-any.whl
+
+where ``<Version>`` is the current QDarts version.
+
+
+Documentation
+-------------
+A usage example is provided in the ipython notebook in the ``examples/`` folder.
+Below you find the `detailed documentation of ``QDarts``
+
+.. toctree::
+ :maxdepth: 1
+
+ api_tutorial
+ api
\ No newline at end of file
diff --git a/QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/docs/_sources/interfaces/qdarts.capacitance_model.AbstractCapacitanceModel.rst.txt b/QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/docs/_sources/interfaces/qdarts.capacitance_model.AbstractCapacitanceModel.rst.txt
new file mode 100644
index 0000000..cb5cf5e
--- /dev/null
+++ b/QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/docs/_sources/interfaces/qdarts.capacitance_model.AbstractCapacitanceModel.rst.txt
@@ -0,0 +1,27 @@
+qdarts.capacitance\_model.AbstractCapacitanceModel
+==================================================
+
+.. currentmodule:: qdarts.capacitance_model
+
+.. autoclass:: AbstractCapacitanceModel
+
+
+ .. automethod:: __init__
+
+
+ .. rubric:: Methods
+
+ .. autosummary::
+
+ ~AbstractCapacitanceModel.__init__
+ ~AbstractCapacitanceModel.compute_polytope_for_state
+ ~AbstractCapacitanceModel.compute_transition_equations
+ ~AbstractCapacitanceModel.enumerate_neighbours
+ ~AbstractCapacitanceModel.slice
+ ~AbstractCapacitanceModel.verify_polytope
+
+
+
+
+
+
\ No newline at end of file
diff --git a/QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/docs/_sources/interfaces/qdarts.capacitance_model.CapacitanceModel.rst.txt b/QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/docs/_sources/interfaces/qdarts.capacitance_model.CapacitanceModel.rst.txt
new file mode 100644
index 0000000..9d67e76
--- /dev/null
+++ b/QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/docs/_sources/interfaces/qdarts.capacitance_model.CapacitanceModel.rst.txt
@@ -0,0 +1,27 @@
+qdarts.capacitance\_model.CapacitanceModel
+==========================================
+
+.. currentmodule:: qdarts.capacitance_model
+
+.. autoclass:: CapacitanceModel
+
+
+ .. automethod:: __init__
+
+
+ .. rubric:: Methods
+
+ .. autosummary::
+
+ ~CapacitanceModel.__init__
+ ~CapacitanceModel.compute_polytope_for_state
+ ~CapacitanceModel.compute_transition_equations
+ ~CapacitanceModel.enumerate_neighbours
+ ~CapacitanceModel.slice
+ ~CapacitanceModel.verify_polytope
+
+
+
+
+
+
\ No newline at end of file
diff --git a/QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/docs/_sources/interfaces/qdarts.experiment.Experiment.rst.txt b/QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/docs/_sources/interfaces/qdarts.experiment.Experiment.rst.txt
new file mode 100644
index 0000000..17f3ac2
--- /dev/null
+++ b/QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/docs/_sources/interfaces/qdarts.experiment.Experiment.rst.txt
@@ -0,0 +1,30 @@
+qdarts.experiment.Experiment
+============================
+
+.. currentmodule:: qdarts.experiment
+
+.. autoclass:: Experiment
+
+
+ .. automethod:: __init__
+
+
+ .. rubric:: Methods
+
+ .. autosummary::
+
+ ~Experiment.__init__
+ ~Experiment.center_transition
+ ~Experiment.deploy_capacitance_sim
+ ~Experiment.deploy_sensor_model
+ ~Experiment.deploy_tunneling_sim
+ ~Experiment.generate_CSD
+ ~Experiment.get_compensated_sim
+ ~Experiment.get_plot_args
+ ~Experiment.get_virtualised_sim
+
+
+
+
+
+
\ No newline at end of file
diff --git a/QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/docs/_sources/interfaces/qdarts.noise_processes.AbstractNoiseProcess.rst.txt b/QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/docs/_sources/interfaces/qdarts.noise_processes.AbstractNoiseProcess.rst.txt
new file mode 100644
index 0000000..43e5d44
--- /dev/null
+++ b/QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/docs/_sources/interfaces/qdarts.noise_processes.AbstractNoiseProcess.rst.txt
@@ -0,0 +1,24 @@
+qdarts.noise\_processes.AbstractNoiseProcess
+============================================
+
+.. currentmodule:: qdarts.noise_processes
+
+.. autoclass:: AbstractNoiseProcess
+
+
+ .. automethod:: __init__
+
+
+ .. rubric:: Methods
+
+ .. autosummary::
+
+ ~AbstractNoiseProcess.__init__
+ ~AbstractNoiseProcess.slice
+ ~AbstractNoiseProcess.start_sequence
+
+
+
+
+
+
\ No newline at end of file
diff --git a/QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/docs/_sources/interfaces/qdarts.noise_processes.Cosine_Mean_Function.rst.txt b/QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/docs/_sources/interfaces/qdarts.noise_processes.Cosine_Mean_Function.rst.txt
new file mode 100644
index 0000000..21a45fa
--- /dev/null
+++ b/QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/docs/_sources/interfaces/qdarts.noise_processes.Cosine_Mean_Function.rst.txt
@@ -0,0 +1,24 @@
+qdarts.noise\_processes.Cosine\_Mean\_Function
+==============================================
+
+.. currentmodule:: qdarts.noise_processes
+
+.. autoclass:: Cosine_Mean_Function
+
+
+ .. automethod:: __init__
+
+
+ .. rubric:: Methods
+
+ .. autosummary::
+
+ ~Cosine_Mean_Function.__init__
+ ~Cosine_Mean_Function.slice
+ ~Cosine_Mean_Function.start_sequence
+
+
+
+
+
+
\ No newline at end of file
diff --git a/QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/docs/_sources/interfaces/qdarts.noise_processes.OU_process.rst.txt b/QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/docs/_sources/interfaces/qdarts.noise_processes.OU_process.rst.txt
new file mode 100644
index 0000000..20a415d
--- /dev/null
+++ b/QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/docs/_sources/interfaces/qdarts.noise_processes.OU_process.rst.txt
@@ -0,0 +1,25 @@
+qdarts.noise\_processes.OU\_process
+===================================
+
+.. currentmodule:: qdarts.noise_processes
+
+.. autoclass:: OU_process
+
+
+ .. automethod:: __init__
+
+
+ .. rubric:: Methods
+
+ .. autosummary::
+
+ ~OU_process.__init__
+ ~OU_process.next_val
+ ~OU_process.slice
+ ~OU_process.start_sequence
+
+
+
+
+
+
\ No newline at end of file
diff --git a/QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/docs/_sources/interfaces/qdarts.polytope.Polytope.rst.txt b/QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/docs/_sources/interfaces/qdarts.polytope.Polytope.rst.txt
new file mode 100644
index 0000000..1746ede
--- /dev/null
+++ b/QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/docs/_sources/interfaces/qdarts.polytope.Polytope.rst.txt
@@ -0,0 +1,25 @@
+qdarts.polytope.Polytope
+========================
+
+.. currentmodule:: qdarts.polytope
+
+.. autoclass:: Polytope
+
+
+ .. automethod:: __init__
+
+
+ .. rubric:: Methods
+
+ .. autosummary::
+
+ ~Polytope.__init__
+ ~Polytope.invertible_transform
+ ~Polytope.lazy_slice
+ ~Polytope.set_polytope
+
+
+
+
+
+
\ No newline at end of file
diff --git a/QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/docs/_sources/interfaces/qdarts.simulator.AbstractCapacitiveDeviceSimulator.rst.txt b/QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/docs/_sources/interfaces/qdarts.simulator.AbstractCapacitiveDeviceSimulator.rst.txt
new file mode 100644
index 0000000..c7fdf8b
--- /dev/null
+++ b/QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/docs/_sources/interfaces/qdarts.simulator.AbstractCapacitiveDeviceSimulator.rst.txt
@@ -0,0 +1,32 @@
+qdarts.simulator.AbstractCapacitiveDeviceSimulator
+==================================================
+
+.. currentmodule:: qdarts.simulator
+
+.. autoclass:: AbstractCapacitiveDeviceSimulator
+
+
+ .. automethod:: __init__
+
+
+ .. rubric:: Methods
+
+ .. autosummary::
+
+ ~AbstractCapacitiveDeviceSimulator.__init__
+ ~AbstractCapacitiveDeviceSimulator.boundaries
+ ~AbstractCapacitiveDeviceSimulator.cached_polytopes
+ ~AbstractCapacitiveDeviceSimulator.compute_polytope
+ ~AbstractCapacitiveDeviceSimulator.compute_transition_equations
+ ~AbstractCapacitiveDeviceSimulator.find_boundary_intersection
+ ~AbstractCapacitiveDeviceSimulator.find_state_of_voltage
+ ~AbstractCapacitiveDeviceSimulator.get_maximum_polytope_slack
+ ~AbstractCapacitiveDeviceSimulator.inside_state
+ ~AbstractCapacitiveDeviceSimulator.set_maximum_polytope_slack
+ ~AbstractCapacitiveDeviceSimulator.slice
+
+
+
+
+
+
\ No newline at end of file
diff --git a/QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/docs/_sources/interfaces/qdarts.simulator.AbstractPolytopeSimulator.rst.txt b/QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/docs/_sources/interfaces/qdarts.simulator.AbstractPolytopeSimulator.rst.txt
new file mode 100644
index 0000000..22a1c45
--- /dev/null
+++ b/QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/docs/_sources/interfaces/qdarts.simulator.AbstractPolytopeSimulator.rst.txt
@@ -0,0 +1,24 @@
+qdarts.simulator.AbstractPolytopeSimulator
+==========================================
+
+.. currentmodule:: qdarts.simulator
+
+.. autoclass:: AbstractPolytopeSimulator
+
+
+ .. automethod:: __init__
+
+
+ .. rubric:: Methods
+
+ .. autosummary::
+
+ ~AbstractPolytopeSimulator.__init__
+ ~AbstractPolytopeSimulator.boundaries
+ ~AbstractPolytopeSimulator.slice
+
+
+
+
+
+
\ No newline at end of file
diff --git a/QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/docs/_sources/interfaces/qdarts.simulator.CapacitiveDeviceSimulator.rst.txt b/QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/docs/_sources/interfaces/qdarts.simulator.CapacitiveDeviceSimulator.rst.txt
new file mode 100644
index 0000000..ed202ba
--- /dev/null
+++ b/QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/docs/_sources/interfaces/qdarts.simulator.CapacitiveDeviceSimulator.rst.txt
@@ -0,0 +1,32 @@
+qdarts.simulator.CapacitiveDeviceSimulator
+==========================================
+
+.. currentmodule:: qdarts.simulator
+
+.. autoclass:: CapacitiveDeviceSimulator
+
+
+ .. automethod:: __init__
+
+
+ .. rubric:: Methods
+
+ .. autosummary::
+
+ ~CapacitiveDeviceSimulator.__init__
+ ~CapacitiveDeviceSimulator.boundaries
+ ~CapacitiveDeviceSimulator.cached_polytopes
+ ~CapacitiveDeviceSimulator.compute_polytope
+ ~CapacitiveDeviceSimulator.compute_transition_equations
+ ~CapacitiveDeviceSimulator.find_boundary_intersection
+ ~CapacitiveDeviceSimulator.find_state_of_voltage
+ ~CapacitiveDeviceSimulator.get_maximum_polytope_slack
+ ~CapacitiveDeviceSimulator.inside_state
+ ~CapacitiveDeviceSimulator.set_maximum_polytope_slack
+ ~CapacitiveDeviceSimulator.slice
+
+
+
+
+
+
\ No newline at end of file
diff --git a/QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/docs/_sources/interfaces/qdarts.tunneling_simulator.AbstractSensorSim.rst.txt b/QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/docs/_sources/interfaces/qdarts.tunneling_simulator.AbstractSensorSim.rst.txt
new file mode 100644
index 0000000..0788dde
--- /dev/null
+++ b/QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/docs/_sources/interfaces/qdarts.tunneling_simulator.AbstractSensorSim.rst.txt
@@ -0,0 +1,27 @@
+qdarts.tunneling\_simulator.AbstractSensorSim
+=============================================
+
+.. currentmodule:: qdarts.tunneling_simulator
+
+.. autoclass:: AbstractSensorSim
+
+
+ .. automethod:: __init__
+
+
+ .. rubric:: Methods
+
+ .. autosummary::
+
+ ~AbstractSensorSim.__init__
+ ~AbstractSensorSim.precompute_sensor_state
+ ~AbstractSensorSim.sample_sensor_configuration
+ ~AbstractSensorSim.sample_sensor_equilibrium
+ ~AbstractSensorSim.slice
+ ~AbstractSensorSim.start_measurement
+
+
+
+
+
+
\ No newline at end of file
diff --git a/QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/docs/_sources/interfaces/qdarts.tunneling_simulator.ApproximateTunnelingSimulator.rst.txt b/QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/docs/_sources/interfaces/qdarts.tunneling_simulator.ApproximateTunnelingSimulator.rst.txt
new file mode 100644
index 0000000..5849a30
--- /dev/null
+++ b/QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/docs/_sources/interfaces/qdarts.tunneling_simulator.ApproximateTunnelingSimulator.rst.txt
@@ -0,0 +1,27 @@
+qdarts.tunneling\_simulator.ApproximateTunnelingSimulator
+=========================================================
+
+.. currentmodule:: qdarts.tunneling_simulator
+
+.. autoclass:: ApproximateTunnelingSimulator
+
+
+ .. automethod:: __init__
+
+
+ .. rubric:: Methods
+
+ .. autosummary::
+
+ ~ApproximateTunnelingSimulator.__init__
+ ~ApproximateTunnelingSimulator.boundaries
+ ~ApproximateTunnelingSimulator.compute_local_system
+ ~ApproximateTunnelingSimulator.sensor_scan
+ ~ApproximateTunnelingSimulator.sensor_scan_2D
+ ~ApproximateTunnelingSimulator.slice
+
+
+
+
+
+
\ No newline at end of file
diff --git a/QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/docs/_sources/interfaces/qdarts.tunneling_simulator.LocalSystem.rst.txt b/QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/docs/_sources/interfaces/qdarts.tunneling_simulator.LocalSystem.rst.txt
new file mode 100644
index 0000000..8ceddb1
--- /dev/null
+++ b/QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/docs/_sources/interfaces/qdarts.tunneling_simulator.LocalSystem.rst.txt
@@ -0,0 +1,33 @@
+qdarts.tunneling\_simulator.LocalSystem
+=======================================
+
+.. currentmodule:: qdarts.tunneling_simulator
+
+.. autoclass:: LocalSystem
+
+
+ .. automethod:: __init__
+
+
+ .. rubric:: Methods
+
+ .. autosummary::
+
+ ~LocalSystem.__init__
+ ~LocalSystem.compute_mixed_state_of_subset
+ ~LocalSystem.sample_sensor_configuration
+ ~LocalSystem.sample_sensor_equilibrium
+
+
+
+
+
+ .. rubric:: Attributes
+
+ .. autosummary::
+
+ ~LocalSystem.basis_labels
+ ~LocalSystem.core_basis_indices
+ ~LocalSystem.mixed_state
+
+
\ No newline at end of file
diff --git a/QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/docs/_sources/interfaces/qdarts.tunneling_simulator.NoisySensorDot.rst.txt b/QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/docs/_sources/interfaces/qdarts.tunneling_simulator.NoisySensorDot.rst.txt
new file mode 100644
index 0000000..28e8975
--- /dev/null
+++ b/QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/docs/_sources/interfaces/qdarts.tunneling_simulator.NoisySensorDot.rst.txt
@@ -0,0 +1,29 @@
+qdarts.tunneling\_simulator.NoisySensorDot
+==========================================
+
+.. currentmodule:: qdarts.tunneling_simulator
+
+.. autoclass:: NoisySensorDot
+
+
+ .. automethod:: __init__
+
+
+ .. rubric:: Methods
+
+ .. autosummary::
+
+ ~NoisySensorDot.__init__
+ ~NoisySensorDot.config_noise
+ ~NoisySensorDot.config_peak
+ ~NoisySensorDot.precompute_sensor_state
+ ~NoisySensorDot.sample_sensor_configuration
+ ~NoisySensorDot.sample_sensor_equilibrium
+ ~NoisySensorDot.slice
+ ~NoisySensorDot.start_measurement
+
+
+
+
+
+
\ No newline at end of file
diff --git a/QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/docs/_sources/interfaces/qdarts.tunneling_simulator.TunnelBarrierModel.rst.txt b/QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/docs/_sources/interfaces/qdarts.tunneling_simulator.TunnelBarrierModel.rst.txt
new file mode 100644
index 0000000..7a43274
--- /dev/null
+++ b/QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/docs/_sources/interfaces/qdarts.tunneling_simulator.TunnelBarrierModel.rst.txt
@@ -0,0 +1,24 @@
+qdarts.tunneling\_simulator.TunnelBarrierModel
+==============================================
+
+.. currentmodule:: qdarts.tunneling_simulator
+
+.. autoclass:: TunnelBarrierModel
+
+
+ .. automethod:: __init__
+
+
+ .. rubric:: Methods
+
+ .. autosummary::
+
+ ~TunnelBarrierModel.__init__
+ ~TunnelBarrierModel.get_tunnel_matrix
+ ~TunnelBarrierModel.slice
+
+
+
+
+
+
\ No newline at end of file
diff --git a/QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/docs/_sources/simulator.rst.txt b/QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/docs/_sources/simulator.rst.txt
new file mode 100644
index 0000000..64423f0
--- /dev/null
+++ b/QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/docs/_sources/simulator.rst.txt
@@ -0,0 +1,3 @@
+Simulator
+---------
+Lorem Ipsum.
\ No newline at end of file
diff --git a/QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/docs/_static/alabaster.css b/QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/docs/_static/alabaster.css
new file mode 100644
index 0000000..e3174bf
--- /dev/null
+++ b/QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/docs/_static/alabaster.css
@@ -0,0 +1,708 @@
+@import url("basic.css");
+
+/* -- page layout ----------------------------------------------------------- */
+
+body {
+ font-family: Georgia, serif;
+ font-size: 17px;
+ background-color: #fff;
+ color: #000;
+ margin: 0;
+ padding: 0;
+}
+
+
+div.document {
+ width: 940px;
+ margin: 30px auto 0 auto;
+}
+
+div.documentwrapper {
+ float: left;
+ width: 100%;
+}
+
+div.bodywrapper {
+ margin: 0 0 0 220px;
+}
+
+div.sphinxsidebar {
+ width: 220px;
+ font-size: 14px;
+ line-height: 1.5;
+}
+
+hr {
+ border: 1px solid #B1B4B6;
+}
+
+div.body {
+ background-color: #fff;
+ color: #3E4349;
+ padding: 0 30px 0 30px;
+}
+
+div.body > .section {
+ text-align: left;
+}
+
+div.footer {
+ width: 940px;
+ margin: 20px auto 30px auto;
+ font-size: 14px;
+ color: #888;
+ text-align: right;
+}
+
+div.footer a {
+ color: #888;
+}
+
+p.caption {
+ font-family: inherit;
+ font-size: inherit;
+}
+
+
+div.relations {
+ display: none;
+}
+
+
+div.sphinxsidebar {
+ max-height: 100%;
+ overflow-y: auto;
+}
+
+div.sphinxsidebar a {
+ color: #444;
+ text-decoration: none;
+ border-bottom: 1px dotted #999;
+}
+
+div.sphinxsidebar a:hover {
+ border-bottom: 1px solid #999;
+}
+
+div.sphinxsidebarwrapper {
+ padding: 18px 10px;
+}
+
+div.sphinxsidebarwrapper p.logo {
+ padding: 0;
+ margin: -10px 0 0 0px;
+ text-align: center;
+}
+
+div.sphinxsidebarwrapper h1.logo {
+ margin-top: -10px;
+ text-align: center;
+ margin-bottom: 5px;
+ text-align: left;
+}
+
+div.sphinxsidebarwrapper h1.logo-name {
+ margin-top: 0px;
+}
+
+div.sphinxsidebarwrapper p.blurb {
+ margin-top: 0;
+ font-style: normal;
+}
+
+div.sphinxsidebar h3,
+div.sphinxsidebar h4 {
+ font-family: Georgia, serif;
+ color: #444;
+ font-size: 24px;
+ font-weight: normal;
+ margin: 0 0 5px 0;
+ padding: 0;
+}
+
+div.sphinxsidebar h4 {
+ font-size: 20px;
+}
+
+div.sphinxsidebar h3 a {
+ color: #444;
+}
+
+div.sphinxsidebar p.logo a,
+div.sphinxsidebar h3 a,
+div.sphinxsidebar p.logo a:hover,
+div.sphinxsidebar h3 a:hover {
+ border: none;
+}
+
+div.sphinxsidebar p {
+ color: #555;
+ margin: 10px 0;
+}
+
+div.sphinxsidebar ul {
+ margin: 10px 0;
+ padding: 0;
+ color: #000;
+}
+
+div.sphinxsidebar ul li.toctree-l1 > a {
+ font-size: 120%;
+}
+
+div.sphinxsidebar ul li.toctree-l2 > a {
+ font-size: 110%;
+}
+
+div.sphinxsidebar input {
+ border: 1px solid #CCC;
+ font-family: Georgia, serif;
+ font-size: 1em;
+}
+
+div.sphinxsidebar #searchbox input[type="text"] {
+ width: 160px;
+}
+
+div.sphinxsidebar .search > div {
+ display: table-cell;
+}
+
+div.sphinxsidebar hr {
+ border: none;
+ height: 1px;
+ color: #AAA;
+ background: #AAA;
+
+ text-align: left;
+ margin-left: 0;
+ width: 50%;
+}
+
+div.sphinxsidebar .badge {
+ border-bottom: none;
+}
+
+div.sphinxsidebar .badge:hover {
+ border-bottom: none;
+}
+
+/* To address an issue with donation coming after search */
+div.sphinxsidebar h3.donation {
+ margin-top: 10px;
+}
+
+/* -- body styles ----------------------------------------------------------- */
+
+a {
+ color: #004B6B;
+ text-decoration: underline;
+}
+
+a:hover {
+ color: #6D4100;
+ text-decoration: underline;
+}
+
+div.body h1,
+div.body h2,
+div.body h3,
+div.body h4,
+div.body h5,
+div.body h6 {
+ font-family: Georgia, serif;
+ font-weight: normal;
+ margin: 30px 0px 10px 0px;
+ padding: 0;
+}
+
+div.body h1 { margin-top: 0; padding-top: 0; font-size: 240%; }
+div.body h2 { font-size: 180%; }
+div.body h3 { font-size: 150%; }
+div.body h4 { font-size: 130%; }
+div.body h5 { font-size: 100%; }
+div.body h6 { font-size: 100%; }
+
+a.headerlink {
+ color: #DDD;
+ padding: 0 4px;
+ text-decoration: none;
+}
+
+a.headerlink:hover {
+ color: #444;
+ background: #EAEAEA;
+}
+
+div.body p, div.body dd, div.body li {
+ line-height: 1.4em;
+}
+
+div.admonition {
+ margin: 20px 0px;
+ padding: 10px 30px;
+ background-color: #EEE;
+ border: 1px solid #CCC;
+}
+
+div.admonition tt.xref, div.admonition code.xref, div.admonition a tt {
+ background-color: #FBFBFB;
+ border-bottom: 1px solid #fafafa;
+}
+
+div.admonition p.admonition-title {
+ font-family: Georgia, serif;
+ font-weight: normal;
+ font-size: 24px;
+ margin: 0 0 10px 0;
+ padding: 0;
+ line-height: 1;
+}
+
+div.admonition p.last {
+ margin-bottom: 0;
+}
+
+div.highlight {
+ background-color: #fff;
+}
+
+dt:target, .highlight {
+ background: #FAF3E8;
+}
+
+div.warning {
+ background-color: #FCC;
+ border: 1px solid #FAA;
+}
+
+div.danger {
+ background-color: #FCC;
+ border: 1px solid #FAA;
+ -moz-box-shadow: 2px 2px 4px #D52C2C;
+ -webkit-box-shadow: 2px 2px 4px #D52C2C;
+ box-shadow: 2px 2px 4px #D52C2C;
+}
+
+div.error {
+ background-color: #FCC;
+ border: 1px solid #FAA;
+ -moz-box-shadow: 2px 2px 4px #D52C2C;
+ -webkit-box-shadow: 2px 2px 4px #D52C2C;
+ box-shadow: 2px 2px 4px #D52C2C;
+}
+
+div.caution {
+ background-color: #FCC;
+ border: 1px solid #FAA;
+}
+
+div.attention {
+ background-color: #FCC;
+ border: 1px solid #FAA;
+}
+
+div.important {
+ background-color: #EEE;
+ border: 1px solid #CCC;
+}
+
+div.note {
+ background-color: #EEE;
+ border: 1px solid #CCC;
+}
+
+div.tip {
+ background-color: #EEE;
+ border: 1px solid #CCC;
+}
+
+div.hint {
+ background-color: #EEE;
+ border: 1px solid #CCC;
+}
+
+div.seealso {
+ background-color: #EEE;
+ border: 1px solid #CCC;
+}
+
+div.topic {
+ background-color: #EEE;
+}
+
+p.admonition-title {
+ display: inline;
+}
+
+p.admonition-title:after {
+ content: ":";
+}
+
+pre, tt, code {
+ font-family: 'Consolas', 'Menlo', 'DejaVu Sans Mono', 'Bitstream Vera Sans Mono', monospace;
+ font-size: 0.9em;
+}
+
+.hll {
+ background-color: #FFC;
+ margin: 0 -12px;
+ padding: 0 12px;
+ display: block;
+}
+
+img.screenshot {
+}
+
+tt.descname, tt.descclassname, code.descname, code.descclassname {
+ font-size: 0.95em;
+}
+
+tt.descname, code.descname {
+ padding-right: 0.08em;
+}
+
+img.screenshot {
+ -moz-box-shadow: 2px 2px 4px #EEE;
+ -webkit-box-shadow: 2px 2px 4px #EEE;
+ box-shadow: 2px 2px 4px #EEE;
+}
+
+table.docutils {
+ border: 1px solid #888;
+ -moz-box-shadow: 2px 2px 4px #EEE;
+ -webkit-box-shadow: 2px 2px 4px #EEE;
+ box-shadow: 2px 2px 4px #EEE;
+}
+
+table.docutils td, table.docutils th {
+ border: 1px solid #888;
+ padding: 0.25em 0.7em;
+}
+
+table.field-list, table.footnote {
+ border: none;
+ -moz-box-shadow: none;
+ -webkit-box-shadow: none;
+ box-shadow: none;
+}
+
+table.footnote {
+ margin: 15px 0;
+ width: 100%;
+ border: 1px solid #EEE;
+ background: #FDFDFD;
+ font-size: 0.9em;
+}
+
+table.footnote + table.footnote {
+ margin-top: -15px;
+ border-top: none;
+}
+
+table.field-list th {
+ padding: 0 0.8em 0 0;
+}
+
+table.field-list td {
+ padding: 0;
+}
+
+table.field-list p {
+ margin-bottom: 0.8em;
+}
+
+/* Cloned from
+ * https://github.com/sphinx-doc/sphinx/commit/ef60dbfce09286b20b7385333d63a60321784e68
+ */
+.field-name {
+ -moz-hyphens: manual;
+ -ms-hyphens: manual;
+ -webkit-hyphens: manual;
+ hyphens: manual;
+}
+
+table.footnote td.label {
+ width: .1px;
+ padding: 0.3em 0 0.3em 0.5em;
+}
+
+table.footnote td {
+ padding: 0.3em 0.5em;
+}
+
+dl {
+ margin-left: 0;
+ margin-right: 0;
+ margin-top: 0;
+ padding: 0;
+}
+
+dl dd {
+ margin-left: 30px;
+}
+
+blockquote {
+ margin: 0 0 0 30px;
+ padding: 0;
+}
+
+ul, ol {
+ /* Matches the 30px from the narrow-screen "li > ul" selector below */
+ margin: 10px 0 10px 30px;
+ padding: 0;
+}
+
+pre {
+ background: #EEE;
+ padding: 7px 30px;
+ margin: 15px 0px;
+ line-height: 1.3em;
+}
+
+div.viewcode-block:target {
+ background: #ffd;
+}
+
+dl pre, blockquote pre, li pre {
+ margin-left: 0;
+ padding-left: 30px;
+}
+
+tt, code {
+ background-color: #ecf0f3;
+ color: #222;
+ /* padding: 1px 2px; */
+}
+
+tt.xref, code.xref, a tt {
+ background-color: #FBFBFB;
+ border-bottom: 1px solid #fff;
+}
+
+a.reference {
+ text-decoration: none;
+ border-bottom: 1px dotted #004B6B;
+}
+
+/* Don't put an underline on images */
+a.image-reference, a.image-reference:hover {
+ border-bottom: none;
+}
+
+a.reference:hover {
+ border-bottom: 1px solid #6D4100;
+}
+
+a.footnote-reference {
+ text-decoration: none;
+ font-size: 0.7em;
+ vertical-align: top;
+ border-bottom: 1px dotted #004B6B;
+}
+
+a.footnote-reference:hover {
+ border-bottom: 1px solid #6D4100;
+}
+
+a:hover tt, a:hover code {
+ background: #EEE;
+}
+
+
+@media screen and (max-width: 870px) {
+
+ div.sphinxsidebar {
+ display: none;
+ }
+
+ div.document {
+ width: 100%;
+
+ }
+
+ div.documentwrapper {
+ margin-left: 0;
+ margin-top: 0;
+ margin-right: 0;
+ margin-bottom: 0;
+ }
+
+ div.bodywrapper {
+ margin-top: 0;
+ margin-right: 0;
+ margin-bottom: 0;
+ margin-left: 0;
+ }
+
+ ul {
+ margin-left: 0;
+ }
+
+ li > ul {
+ /* Matches the 30px from the "ul, ol" selector above */
+ margin-left: 30px;
+ }
+
+ .document {
+ width: auto;
+ }
+
+ .footer {
+ width: auto;
+ }
+
+ .bodywrapper {
+ margin: 0;
+ }
+
+ .footer {
+ width: auto;
+ }
+
+ .github {
+ display: none;
+ }
+
+
+
+}
+
+
+
+@media screen and (max-width: 875px) {
+
+ body {
+ margin: 0;
+ padding: 20px 30px;
+ }
+
+ div.documentwrapper {
+ float: none;
+ background: #fff;
+ }
+
+ div.sphinxsidebar {
+ display: block;
+ float: none;
+ width: 102.5%;
+ margin: 50px -30px -20px -30px;
+ padding: 10px 20px;
+ background: #333;
+ color: #FFF;
+ }
+
+ div.sphinxsidebar h3, div.sphinxsidebar h4, div.sphinxsidebar p,
+ div.sphinxsidebar h3 a {
+ color: #fff;
+ }
+
+ div.sphinxsidebar a {
+ color: #AAA;
+ }
+
+ div.sphinxsidebar p.logo {
+ display: none;
+ }
+
+ div.document {
+ width: 100%;
+ margin: 0;
+ }
+
+ div.footer {
+ display: none;
+ }
+
+ div.bodywrapper {
+ margin: 0;
+ }
+
+ div.body {
+ min-height: 0;
+ padding: 0;
+ }
+
+ .rtd_doc_footer {
+ display: none;
+ }
+
+ .document {
+ width: auto;
+ }
+
+ .footer {
+ width: auto;
+ }
+
+ .footer {
+ width: auto;
+ }
+
+ .github {
+ display: none;
+ }
+}
+
+
+/* misc. */
+
+.revsys-inline {
+ display: none!important;
+}
+
+/* Hide ugly table cell borders in ..bibliography:: directive output */
+table.docutils.citation, table.docutils.citation td, table.docutils.citation th {
+ border: none;
+ /* Below needed in some edge cases; if not applied, bottom shadows appear */
+ -moz-box-shadow: none;
+ -webkit-box-shadow: none;
+ box-shadow: none;
+}
+
+
+/* relbar */
+
+.related {
+ line-height: 30px;
+ width: 100%;
+ font-size: 0.9rem;
+}
+
+.related.top {
+ border-bottom: 1px solid #EEE;
+ margin-bottom: 20px;
+}
+
+.related.bottom {
+ border-top: 1px solid #EEE;
+}
+
+.related ul {
+ padding: 0;
+ margin: 0;
+ list-style: none;
+}
+
+.related li {
+ display: inline;
+}
+
+nav#rellinks {
+ float: right;
+}
+
+nav#rellinks li+li:before {
+ content: "|";
+}
+
+nav#breadcrumbs li+li:before {
+ content: "\00BB";
+}
+
+/* Hide certain items when printing */
+@media print {
+ div.related {
+ display: none;
+ }
+}
\ No newline at end of file
diff --git a/QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/docs/_static/api_csd_grid.png b/QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/docs/_static/api_csd_grid.png
new file mode 100644
index 0000000000000000000000000000000000000000..334eece064c5b60afc19c2175e406edb91e59151
GIT binary patch
literal 46721
zcmZs@WmsHIur&%v2yVeWxVr{T2<}dBcXt_Fg9j&gaCdiicN^T@UGC;R=iFc4k9ioF
zp6=e=)zzz3ts+EDMidba7Y+gf0#RH{NC5)kgAxP;WERY4;4j3@zbb$q-yDU1IV##1
zJG$uE8$n3xIoev<I9i(Ne|0vpcQCWDW@Y%sz)bhm)X~w_ft!)h>i=)RU}JB>IE`~k
z40Hl(E2icE0fDUd{(>wJ$Tx$4s67=I`k~~SdJJ}PRWe%Yzc`bkh-Dd+awo@75To*i
z_=ol5yCux+D#*pkV%|y3NmYxsys6Bn^w%E>iL=)FiJyY*jIkq9c`e?b{Gva>kbR3C
zd1)-ujA6}xmJw?39CJ7o-Ld7uhanC?5&T`9r^4-nA_zk)WI_oQ|Nf@uTa2H?`-hwO
z;y=iNHZXRPIhkL8PXf3^735&wzm`f$UGV-1@mMsv()%YUdtz`j|8?j<_J7?R{_#6}
zxm%;;;J}oXm1SXJ`PJ_ALVcIPZ18z-aM0D=eX7~TW_L7Ye)}rJ>oMeFs~-&;`?o}{
z{?S}1Wm>l(i`|;%9V+mrs3>H`e3{&eiVAug$@jrN?ECl~HlMX^O^Ooj1Y&9HUhR%v
zpDZWBqEW~xDa{<e7OR%;CR>zk)Gb>Z3@6Y_rStwBjHRr0*c<Ef3>P8o4o2Rqo!7Rw
zXo}*!gsC<eH|`6^q0^`fZ)xGpllnWgdq?^HbpOoHdZSrcSg^Tlzn-<;5kfdOrxg@X
z5xTBJrn?^&#@@Cc78Nt$MvVMr&9_@#@AMa!lr(s}K9Ig09U3BGV2GsGsQZ(UFxSvp
zRTZ<ouG{wdXu;6_Y!AW0%6hO^O=&S#qIbUDd19OYzJ#{Q$+x_Xz5067dD6Tu*V7Tp
zGv@4DeGvwu$?T(q)yAW^gr3)v6w4G+Ngcq5<M&M|99CIvZRvJfeeBkfGBOn0+)cfH
zLzWx{94UD1^~)!5@$u~ZD(LT>Upa8$E2*lYp`!Y#gY6W1muoX=sHr=Rt5I=rmkdFs
zrc{6b{v9P$l#`n{euaX9GVuWW`F*HSr}y&mGVw?^o6ftKl4MM~V1HkijTU=*`~A66
zjbN>EE%>6b?SuRbYZew2H8pWZM>b>z?5N-|txm(N;=|qe9%;LAMTO?yU~*Y10#O*d
z5tt1Af)B4@+18j!?FEkblM>48&iaog8%IaW|K_dc{b;DDU^qGJV^_;)>FCJl=t>q1
zy1Kg5YrQ4+Dt^%^DJikx<Z{ot@$&MXpPzHNHIES>6HylkEz|CzsGren-X#7p@WSD7
zk`VnO2;n}SR^U;x&VvD64h)`}8<}1<U51QRt4@D#a6qSCQ(%_@wl<l}5=Ovb$yqcA
zLcp0a^!9;*$E<1ac9@!;wsUc@u}^OW-NmG(fs3wSCRcA0UkKtQe(JARONgQhKKo{$
zf|Sf{&XaN+(I>@go=Dq8i9F*{teZk0KYnI1o%p)y^<)JYT>XkYJOt;eD`|9ev{VWQ
zqE9fP`)~Pdk&ANgmoRw7mOnP_F9{KNoR@$>v!_>=l!PB2TV7sX`UL62;)>(}3&4bp
zu;RRI#rwFQ{pr)E%=sg?bzf*~7Q^2y8<eRM;$Z!eIg&092IA^#sE#5>GU89)N1wPH
zU9v74k%Qe<5ALuS%E9^VI!?37&sQ05+Yfsgl=Sowr5g1t-mlMnA$yC9i`#p9oTmbg
z`*QDg%Kx}e`gnUXj4bf{Zfys%#j0EUfDvZtw0mi~ZUjPTdfv=lAI+DGYXsJ>x`%}^
zH2p4A%xAIR76WE`4_L&~lXIYHJozm3$nYCdtwfm09gSp>Vq7Fyz_5n7LgkE-Y@i#O
zse8rJmn=uJN!S_?QPEgYQ4ySfXUA4CW862TEHEGV3ZBiJzWlf;nYpbwK9V#5!lSko
z2Zi6?FIg=Bmq?X6lIy4PEXOk%vb>sFh<5o|#nF(ummrt#j<7(MGKh)AwP;E{0Ht3^
z!&%OTkz9yV`+zD7?GNDJC@YGtvFJF^y8RgyxkFJlkt0<+!%~*uc^Q?tLv8H=Kes_P
zmoU~jEG^nFuKd2)__4|l#7Myy@#B2JuQD=#zf0}O>awX=qIbOWmOG#l{4Js~B#qZe
zk2J&bO{+%gy+Hs0Ps%V>wi7(bfQ8?b9WWJqD(}(_tTtI{JRvT2z>C_FwC}!PHFrx0
z`p^lJ22>YR9)AWg(~R4_5At6hzcJu@`_|59gf`EJrA-5EF(a4C<qLT`C0BbeMq}Tf
zrMmuDxZ{WZy2F3-G<h!2vu`?;$&H1fBnO<aOrLpqR*g0J>M8ib?yS%epZF7m3VuTE
zIwt&~ZEiOV<-5n0F&1}%%OHHf_knriH2j83oZ6uf8;VG710h!e3eBa6?+OX1HoNPM
z?rpqqK;Es~j!L%F_;rpk9O}(wrc=5U8{MfW&W_NzP8iT@y=!{HuM$79Sz#xdvI{pQ
zG6Cj{fGIx}a(AK}$i}m#smH8NE4Cfy`r`3~dN!RX7iHSQ#{cV>0#17IxZu}dU)5Tr
z0nb4LYNsMLk@L@3tGA(+*wDvKj`4+rqEaKn`BUPhW=hB<+wTe4sDfsFk5VIbf_^Py
zz((2%D#$r~G1eexE}Dao(;ebIa7at>U2bld_#;ZDd}DN6y7XISOVrQC8yK6F@lBwF
z)~Xp}8v3)0q3J}gm2;b-eD>~Y0H<$I#!qW7q<J{TKKNtEr3{HmqG0lyX&cw`7YdM7
ztO2~V=z?Y&wvW;a3hzn_H<^RR{lh*qZ`?gYqR8q`l|ho+Ef`{-Y-OD(()Ej=&n<H{
zfc2*SMpsG`DlJXUh-zEj+<R{c%nI6~?m~HPt<dEcgxLAXxD&Itk-~kcA&!f@DfbkG
zTd34x30=Cl7nt}`Di|AsH=gZ{*~<QOcYBUdSNLMwP^G+ow}QhO`R4a-Ujx?fOBqA`
z`_hpS&+<XLry|bEa(6TcJMmU-<sZuCgSj1X!l`9gjYhsR%aZZ$Cvmv!G0ycZID~lx
zDOW)*1kDgh84KljG9o<)!4e5ifXK7GGU>yDPU~O#oiO?0l_kdwu=Ec6L+QFhooZQT
zPih!}XiD1C`0>JDuX8(R<x*<}DM<9>>W9{KcnJ3=M9~P1<{i1Nl9dApGU(P4+b_gI
zA9;+NEY7Ede7PkKn7Ts5e#}DU?BhLR7~!!NS{hqV+=gO6kUb#n+e1Nr2Ob)t#vHkY
z-92!+rZn5>iK=!RZJYfw`>I4gsvrdP(Cg$m{7dZ6XH*$sxFUwHE3`;HElnRsy}Ue{
zgHy143AN6g*0$~pYv&bBidDFzms3)nm@_G;&!KX&f$dR0`Y}@Hp+uM+A4&4QH(EX!
z9Oyowk1@sqoXbZ{i{TLWM9cNGIE0Qk5TIht^lPySS}xs{&_xxog7LtDNgCingWOi~
z^p(hkDnEMfBmiA0pLya8C&rUij^`q3=qH$IvT4=Y+>U6tay;^ESvefGG1OFx1u)Qd
zERRCRRA*M&Gm9A-7haFN${cQCcSYEL6{$sUo3=CAQ{W;;^bN9Y`u1sTqG-QPrcc4$
zKO$=VR+{{e3pM-4isB=LL*+!0*Gxr%HABF9TYK4O^2URz+zQQ$@{NA*rS;5T*FAQ3
z-b4?$1YtV#w0(yR5DE-B({mm1|1s?mINN<e!+cG7aLb4`S_w>%_!(ovohS_Mucp?y
znorlUw^*S?fKLvWF_5FnUet#6X<n-C^{naV=V`MsNh~57+P1#?crJMwd|aenYMXUi
zUt{|D)Ev1lKr`179k_mGF9r`}sZ)M(LE-%4j)0RSD3<WnQ$ApXFrAp{x8dSL^bff{
z{87RX&y}Gq1=Aeu-uzczk^#E7zOvDSIX7ViY3P?wj;hP^ihuIU%FmO){FE}gwJ`=^
zfh5{2q91{wYK_y2ny0wZjPnU&Mwa`v2#8Gq<icyzz@F%hf6!o{iP|_>;1Y4fRFF&a
z%|N=bx_r5d```d6m#uI3iv*2S;Q$LoI7t;hS{sam!vYmHDk1C%sn(ZfS^P`H*~++i
zd$^oOs7Mb6RhuvQ<@w&Zx-{~OgLbpwJ{8}Me*?*(yi&p6v^#H08l6nX9HiPNLyo;b
zZDElPvVz1N(*U_Cz<XN9XGCM)(>>MJ+twViihv}{c8YQ`xka7v>F5`Rr~FzYmLDHo
zwl)j+5fH-3=K#z(9)bXu`Wvj5UDOtLywrMJ^h?<I=JWBw__yx#BByZp=19PJKHq(%
zdAqLDA!<kc-mPIfTIw>d2Ar7np@Q~Il}2Wsv$us`x6M=0+$%9zHaMuff0_TOR-Nt(
z#7Ay9^0G%GoYXZ8*8SYE0q!%sSSw#`(n-*Dr)o-Qc^wvEG75ysPI!+ct>u*_{}TE$
zA9VJ7-sVwsXd=buc!|-n&3<aOG4rkB!U<3g>OT7i@A1z4l`T8PC*9h4IfF%MuhDUI
zToX=^p~AYP(4#ikaCx&NhhuEM7Qgg0h7eK~rL;XHTR8*RB`PtvBIk<IXR76)s1Ho!
zUU+~%e|(7e7i@#uNeJGz!j=J^j|(3ud``mt2&p39oR5b_HFZ|#j>G{8L^D4*{ikz#
z;OYKwfUTrIG5z8|R^aWbg2$4M@%19dpg%yf*X^IGLxVA82BFvKiuE%>&!Ivi{i_WG
zZ~aykD?dYLy@0Byz@(hij*LlmScKHeWM5Sv0&LSC6tFNl&K?y(KegJ4NT`MP$IK=B
z%K=-7^LATR7frMUuJ$LGTf%wb`O7IG=C3V!;&JX8-;@*5ew`@0nq|S9<BIsqGYLAy
zF34YhMLJBu*Dzc1Q=gqkCS5U+2;M${ldwoc-R48Gk#<@CCGfpoY^GB(`Pih~3qIVN
z>U0(|lOSZs;8Vlh=X%=?q&g3#@*epoor>Cv8B}RFQ|N5_GpN(T^*OnfW!l#dd3B7Z
zcCr=?0w*XFJ^n+``0R4+c%oogUGugE)dL;D9Z%_4t6RSwVEyZIGR;jW39(MOZ=qh*
zZ5TohhYKczVi5k3J?6#c5Ow56-^pp&=<6t>4#VGFNRDyTm?K7!|14D=mJNPnA@|a#
zo_`>}`{~D*y}yytM=DNa-_wAX*7v=H0i#x8bfrZ$S*u^x>9{pu?$!qGE_`oufCsM~
zc_IjsiAnc^_#<S*ay$PeF8kc2LsR<LXb1bGY?gepq8T-@M50t2L*t^S_wZZz62rpE
zRg~BGTlf!OwEc~@26QF*g8Ibj{Otow0Y(mn%&}zQS~t$w1g-Gj+RJ5bMI#!_>bHtk
zi_*15oP7STk?kfTJX)ha)WEn^#jiirz%=*WR1F#Z-yZ{BiGHl^p&B&AmJHpc;H&AT
ziu>A8e1%fBIA-*Y_<Ck{4deQy=+yM`Z@2X)ho5#)wPtqZm!7!s^SNC392KX~(<E|k
z{vaErCcI7yn#j<njwxqGaDfL9NiQ<@@>$Cle8k%YaUbu<wWA#?uVV%d8DP^y>2XP6
zZ5Fsfyeh5m&}sbGnf$X@?C`7|=O+QVlc3Ho&=53^Tn5>pSgNOQ$k-Q1IXx^8^XfZ^
z028_q9cPzhh1foLeVX3$^r_xeCc8A|0Q$9SV7)L0JLpddkx(mm#5cLLgeHBEcq`I4
zD(pNI+VrN!8kv(Zt3}oeU3cQM-b8v5ez`pR3q9t>EP;=-k%<?dOD(2LZQaH5OYL55
z!&yw1O|!=jqu!y&(D>^cJYk<bm?0_JxX76U!-Ut`pXDw&ms?29DrxM&rGcEBPilc~
z9~a|^(9YhN^!O9gmE=OI4XSo^s|d+EEU1(U9}G~#vhhWY;B6q6Xe(9U@D9Boo`?w9
zi(7uYaVlwJ`L1bjg^ojuDyJAa&DcO4dEwtQcQirAZ=4m>oT#qwj9A!W3qVRvZ?10e
zqr|_77VwUD|7%7I_kL_OeZ&bqF!>HgGYLo09RK&5#^1lywRXz`e?Cz-9SOVZBB0{Z
zx1FYs5Q2zQp3>qp;09Sv^+COGRpu`2ga&o<m6_+>bX3o4I9l`4xx^}o64ob>&PrvL
z%DZ%1Wh#7CJY~VMI&{uxlA&WB@wWiftZq_K<p4bC{t>5NPlt(G3eS%Nt}L{|I<}UP
z^}+-9VL9ppv7LMX)cAm(R0>|U!z1mK-bw?J&Fz$4F?dC?6`r=vvBAz!Tj4}bD|jJw
z`1m`V>~Cr>pYi*m<R19_hAdbj1+bLT{-7(#n7d7SC19OUb`3{CZ4vbu7E_kj`Pteq
zKG**H1adaeUH^29#G`zZyFGJiWU@oUQaqP&A#`VYX7~<0OS&6Ga>+&JW0lE)*g?f{
zfE~?q8bIPu9m}KjKg$+TfybKNZM}EDHZ<K<fV0?BkYmL&@O)|!r)ffBy!!<)Qa83H
z*!y>T)<asbL$Sb#bDgW(?{G#+mj~f+%b~dG>rr};w{!GUtY1;=xuXN+YW+s^8V?AQ
z^===DLNu3|E{6wv(|OH;kX^rKi;o0tWK7yjd!-haF_@ZqGP8(Bi1+IDI;*!ehD7jC
z$xYYNa&$O-wh$!9XRv>^c1hYbR+O>kcJF%q>3cCOd7mv0bI@|-l2x4g(4vk*5@PQ1
zFV&_%9#Tx2R244x+M!sgH9QC^j;2+Os*}<hYuL_JwC}MnNL%01r9WCnBevJLOm5E8
z=WS$YZNKJZ+S|K1VdT7C>Q`s9*1N!-omjbs^^AkVB(t7axY<I;eo}S+bY~)A^Tm49
z7OI^c@hu{eI7+N;^pFpZK>Fs7(JN4ybx)aVP*W)1smjE0jeBTGk-l(C6S%9e=_HQ;
zk1NLb^9!mrF#<e($9bkNa9x$$N|+zs$*VN`JtwREI);*1^OF-(Sci9Q6xFN4j8T5@
zmgqmQ2WW)sf0>t_Uy9NN>SNusA|(iXy5*sFcdXDR3SF}<+bTB_^UCB`B!A2bE6vPb
z^mf*I*i~#;k(Vw-z>|QOIZE`hK<eMo&1Y}I;ael!g9E=fFaUu>Wv&No?=F7ebQr6X
zcn=r>23r<DjL`MZ5x5rg5W(T!@LAID?+P5QjD^m>KR(@2^m2X@h=RNaA(5=U$sZ%Z
zJIz_rNT*P-jpcT=XcsP{5>U<AGH&oIRxC;%(|KVRw+bGJX+<t3AlH!=)cmwf9Uihy
z7E)@Hg;+0mfH=;zikomNKw!+8656Q1*ev*4=9tPs45f@^RJnXlZi3goo$5MrXGp{e
zga(v-&6NMrnT1??SxN3$N^aeU=!Nl_PmMKp?5o0gFr*mN?L9|W$qu09EQfadUyv0I
zth@?|A+k#o9-xMkbSlC@B)GU*pIsxr3UQ+Pi+Z<!4bCSiPzu{|gS#UaRiuC`fxK3d
zs^o7(+EQc_{Ul`8H7DS?P&k7B67=3Fnyr>N<}eKFJ;T&)oN={`*}MC5qsPBFDwz}E
z=LPB>`;mq;f#lt!J2#j%3S43EF(fF>(G=tw|IF7d`xy1NeVs+=%$@Ya!A6%1X9&3V
zf%*I?J!(`hzo0DnWJmOY-UTb{lC_b{D=ceK>n|=lXK$-;i!2+6=I-jbjMFzEtWe;I
z=`6}&0F&U!PcG`a$S0GD`Ep8d3n|Pcu5`s6cFaeetTAJf@-mc&6HYjDV|fd{iM%^9
zZW+$CBXJm4+~)4Cu`Fn+;#dy6lcG~-{Kq|Dveqw^hhLQ-GqUZEg1TE;{w?gAx7hqR
zd168e#u0t+lv{HO1yL7hE|d-NI-hV=*6HLV`VLOMU=vRHyRPZ>iRLg7v(#2*gVGOB
z{wg0Ws#G4Aa5sg`O&9UGecf2YUh!8`tMc_ed#V{7(=uh)3C_N{-`H<4n4kKCI+5`M
z(#-KLf_RJ)j&oM4=MfwTmX8`tmW_9#74BQ3F4Xu?Q-)Kr?;71UAA^05?;IRRAdD=h
zUN3bZ#?Yy!9x&vfaD=1)oe6jUA)bOT*bO7{67=9uJuEZ+^m*nn-;Rq8ag>){tGFT2
zPl9czw0QfaRnpD-Od(S*>#0}X6Nex{jOgv_7mvs2{pE}>($g->^4y8I(YC`;OKKgd
z+FGf_bFDw+6h2RAt9`?x!D?>s4{Oo4X__{b8fx-Y=@{gcyGneh8d3$P`T*+PI3bh-
z-T{nS=Y}mn9p(2`MO8KJpwEnS=`&i-dt^D0c$5QyWS{`LA`nS$a~J9O&!H>Pcq_f?
zWKLZJ(N;wEvvtRm^#%HdCxQ8kLw{)DQ)i3PfshqI98G40K61D5)+8_@ml{btbFi6;
zF(Z)AG6h(#!V0-jqGlfrHcVImi~tq;o?V489zY=t3*9-OAEWky`Bpo$a*ecKz3<ne
zr9-z1>W%?`nl;=eaw3~Fp8Lr?qDM6)yxrt8q_+RT=^K}Ga0s^r5=Pz)I_{qHpc^-z
ze;(>7Yv6NohD>9Pv<B=|V|ZMqx10&zP;$1x_<aLR2CW#}AAJet+Yc2xJ`}ieY3@4l
z-rWOnpv_ACLxzqORBE2c`PqUSM#lqvI3O=zvfq;&5a01^pu+^*1hFKbX@RfFFlVM+
zt((|{yno%BBUYB+IN}NQPA3V34ozs{TCOGwMD1*%pyi5{S{m;R<`Sqmy-N?Ci?^zL
zgRGy;XRfbg^=x&yL)z>DTzjUaGsHMwZWaifhv?(+OTKmWRh^VDfO|^yu6WqICG`>S
zzU=cI=A3v6^7nWhGfM*a@M%c<ahed(#`>Fj<E>HVJeB^-snxUg-s(pm0K6aMwU^mF
z<vkZC<L7gS9X*)Fio<!}#7jt*k_V%JKM6XHx=f$_&YGB|V`oQ~laJSlMY%^;@vyTn
zGl~DFHx>t)s_gf0amee98#<2)3IRI_)V2T%dD(<eyTOiMm(3NbF}XZ`B%$<()$G9x
z1&}HZHAVYhi$jq(yfXA*_F@Y74L|jwouGBZ?R!Z@97KWbKF;14ZO@z-sP@u0tCsdN
zIM~We^)tm3$|LK$EVy~?r5u;?=Q!plRvDNmKFDyyXSlMmt*|CVcj8<#Uz1Jor20a7
z;-Dw>@$p%A>=tyIeiH+rFI;$aLA5b;%<?cFoWJOj__8OT0-m>(OX@RLN_pMJRZB9F
zx)YyEy^nGE-U;Eyo*LJci=&<TO?TW{!uX<pDAQ)m+0)K8b~@ArOR{$0GqQ7Z+}g6<
zTy3QwRryBBE!%}o?U14Ky$@}^-8Cp9-qsVK68fLCVITnfOr=qsPO_oj(PTh(JUyb#
z(=}hNl;<CWNUX`N@RWQj;HC82>oImY`IA+V2IQEQW=@AZoK<%@y@(Es)~EK_7$QTz
z_OONm<eEE9(55X{L9KGMs>|<@B19lM4_Z83DnCR<ZVJE9<J7H7anoO38{~8v`zHR7
zr{6aGx7+2L1H`$U1rBb~n2!(tHFLnfyZwkx)(Eb*rwSgrq!Kr!<T^Peo{Xuc9oryD
z%Cs;(a@qQ(q=}}$^=#?PfqNe1U8{V7b!0emue{9NJr#nFDC_J9v9&&_MT}$jNpREd
zm?mj0wvBS3xNM#sO|5^U5FiktD(0zoH5cveo*Of#*wB|Fn{Z0Qx1uCcoTrTA^UUnt
z_DJM%51fwOOYbvaYi$hd%BLKmrH6Z4f&5vjh_x0u(Xmz^GzhP4-h#K0s|Y!}J7(Vu
zCOcRb7q;!Cfoc=UJkrTgN8Zur@1h1Z8+%FF>mIp7Q_RRA6NGhGbLfR$c0twL`F=uT
zVbvT}YRO5`31$L%xt{n%a-WrW+XVtLu9&Rn2fcLEfQKHGQxFbPus@9jyBd3=W#PhL
z=;lp?K-ktx%~(M5QbziZX$UHoR~a*Kj6+-0_wtPe0u?0X7N@a2ZnX4dG2o(IRJ@d`
z&NezBmg2<mE)Pd)OrVuNAnKQQ?iODrFyc%F3-%t$DV@S{Nwxp<q<!-!dBOo{9Ra2h
z1i%8Hiz`-vzA8e{5B;O^S@A-AB++1cUhrQfWo11kY_Z2j>XjD0xX5WEvsvqKcv(FU
zA=$@!7t)1k=vs-0?u`!1>KG%s+?lFKdJIWwHX~|+`cWg5;0vKCFapA{<PR;>C@T<D
z82E-T@X_o#90o^7pj}DdG5X%zL#|K>u^sss6HcnPpfn5sIo2%VujBtwB6Bt8+)A$;
zYVkyMcl3_1;=YWi2g^0Yx#7-fX<O}B1d#@$WqE4A^Y}fign?S}GN;}UMF)j-k9^D^
zt)mP46LrfyKCAPPIM?wq{@j_ATPbeIgGjZrQ&G0+7Pvr(kB{HKd2|lDH&KwQ1;Use
z1jN&^oB{0|=suKFs}3zNQ||O`g@PXS=5IUXWts$sfrSwicgif0QN+r(tY8~DP%+ZQ
z@fc@Z<Tl%iTrA;4aCisX7tc-D%X86eYiv0eF3TjVK&8Jfa+=M*^|x#mqT5Wn8rf7=
zmW$UuWTW4i2<Cdj#^13^*NOj_6&L@p!+R=ONHXfpcG1ND$vq%j-b}tw3GlH1yN+K9
z9xof3JucE*Hlt{=n7I7D*$#USW1w|_`Pz6#noIhvwLhyGxHmp|mlOZT{T$$mR+ikF
zhu=I=7i&oSUSLV7m@N~h_9yMruNQR7^9mhMG5mm|p(KThzk<7CWBSG&vGI>@e*-UE
zW^3{u%OWs0fiE74j(TCZB-JWB%DFAj+X?q0GTAep4JY5#W#XmU+?|BzVI1#lIs!7`
z_a<+fO{d9wvzvk_X`j;ic|}78(&|G93rP-Ep}X`hvp`xrf=gs2?O3}wZA2BdzT#Hk
zc@1+i4|zS<2sLL)k@o^AC#O*&+vlE;uWSyfSd6OMjo~$hFcr<{<=HGUIbuMdXEc{u
z==L4&G4HB5>g4=l@f&Gf({l*-LlDX#PC)a}%fcBH52gk+djenF9DQ~N7kqK6#6d%s
zaQH3KcZ?R?L(WaA=F@BF-wq^D@v+f<MORaqyUzpZ;Zb7bq+FkLq`z+oxfFK`7LsTD
zWan8>Zwv64-as10I046MY~i|BJ^#7F1n4e~wjIhP(agCh)E_ufaA6(&e5esi6Td8%
z@oQ)1OysTAMfFDMfN+C~K-Ez`n~$L2!=6tbPh^+ZSBKZ7cp$PAfh#K8a2*bG)gpSl
zkN7H*=+_Q{vF@kf;*@e^-2H9GxlF5KKhaRDWq&<|yc4?LZ>zgk{gW|9xf%XDToICe
z){bA0Zh2+EK1Jr;epoOCLT%B;ogY}Q*OESSs3mQ42`X-ep=Wh=P7y5>`{V#33bx>7
ztylXBb>>+S2o#e4cMA0KL_@g%M#IOKEnz@G=9JzNy3<!gTpo^6uudCKA7cMCZkP2m
z(IJ_H?Zs-`9GGAC=D*V9$I%2oiK*Y(%*^YG(uxow<QlkH$j?k!-lr}pV@0@3<6Pb1
zN<f}qpXtO`8Ng+2cx`-)#7gTB#D=bxr6u;?rrXp1OMeUsIVI*3n+RUN3Jy7~tuu!^
zM2b~w^)20zWL}Ig@mPiLve6S;@10pJax=XuR{CYM8d*Kv=*CKC3UL708Zs@cXM1Pm
zVW@dlp<qb!!$?ac`a*SR)FM8TmODD9qaAg_;aduPS$>AO|CC)59d$u!IJ#2VsOVNF
zs~P0=3^GX<EujtPO9n;Lp6&XA&>ft`m1K`5#tT>BBeBv9*2U^;@S^s?d?hFGk`&QT
z*`Uw2l;UfxdR5I!1nUcicVCL=o2d)61f%VcR7B?w>=~C5L{9pD7t|^x*JqYDJOWl$
z{XbSF@oYDU$BwIT?JstNClaSh(st^dy00y}SQ&DvF_ienhP#L0V*2+Sd8`J=Cklx_
zgrIpO@lcR3WJ$8%9XcY4?yYVu`1SNtHsckR3P?4Y(L=FUGtHeTa+leXeC#&a%$Dww
zPYRNfu_4lG%5;BwxpUi!;H09W%CuQ)Yk4|tM!;n&=zTF6N$PYM=Mz;?!Gwi{ZMj{t
zkV<yc-w+G#?gVn(9sNY!Qo_Pe-9d<3-N*uD#KiyXG8PtoMdE*(+HL{F4_k%#W0sI2
z)CD~U2yo#$UDlpr$f0>D_1*@eF2UVEvPJ*rB8T>PYMHIXBr2OJHhx@RrjOV4c?fYw
zH!`Pk_Zf6CSfnsF)pIr&;11$n)8B$*rhHUtTECWG?V~*s-zL9(AGH9&@R%mcA2(o^
zH9O!TSUevc0f~z1(@FhbK%fG;J0&M0+s=7WE!Q3$h$j8ZVTFsO<%p`|{lZ?}dW)OF
zX_Kc~9yD8~13F>PlTPW|%kY-b)Wjd>yTj*kKGwZE1p@+?4~S5+R`uXM0+*FZS8E*|
z9Y=03&Q5}#M2$+84NRg)uAM<tXMvpERg-98?eLp#Q<19{8>t_3bdfCC3hgK4+B!S*
z;#KV*5k`zgPP9}7e*=59a~w4%eMLlUx)5n2vl5^&dlrwXpp->KK7WKp+HSqW<;GY(
zan8!has~7O$prLG|8I#3z*LZskhmUK_TLZdyngs@WJLb&-#?GrMH5X=r*4M>U_S`G
z?)8Az2J4U+M+$R_Y{|a1va+y}QXINc*6e5K-iyHry!Xh-<<2|L5r2d18kZ;t3UPbt
z9LA$|u%Y;)90ADE(j}>|+E`I<N$8&)Qv7a&L_fv}74<qf$&IQ3V=L<6PH#|Mp3;w8
z>+x6(I!q3$rJe@6Eg4O@Qsb2dyArkPyhVe#618bSlmSS4*iOCg&-LKo;F6CGn6L*1
z2DlDV-|qVbU=R>;098WEMIYX;QhMZSSwLXn-#KxQfq^l5_=NF6*J@C2hz<h*QL4Yx
z^9>CxO)S1PNC!T__Aa5k!5ZwK*}4m<4Spe%44YFhE$jJ-Cd>K4o)hfdyPw2&ji?h`
zes*_U%RlT5PjR8Q>IM)xrliocuYuiqqB~DXQ}RN1Q#E^ok`fXXi<SXFK^%*OxVRF=
z#>UnC=;-Kd&E7wL{Mg#-udl5^?(j$E7khhsfrWw5y*ZqH7x@61i>uuf8x9aSKf@~-
z5RcScJZ+HzkT9Y=a%8)+N27t?87{-*B@<ZTfa8Tl^~$hPjAq>WK+tDa5?2&Y1iph^
zf_In;V4q<yxIBN%IBT^o>avL)2vu|Dmh7}%g_o<AiUFQ=1@v+Cd+AiP5T5D0pM<zK
zT_hk?@>eO|DQiB}U#c;4bxnPS8Sn1SUOWMY#~?pyBtL~4Lna`Gisv$Tht}hNhwr{Q
zK)yq3{Dmmr_i#UiLT(w}UsMN(u=-95`VB|3r)uIimmcC~=%J27cd<;y<m*vt`7s1J
z*DFdsUa=IUAV#v}W`|VIltC%W$)Q+VTccxQax7~9`X%=3*H!tS;K0B%`?sw(Izaow
z%iA)@Z)RpjZ#+0K&|zL16CW?EpfI(#5{XjE!g}Xo{X4BI7j^4_{LCeH>$l8+Wqn17
zE5UFm9_C~lr9Sg#D*-_dhMsYUudB(}@6wo+yD5WM@Ni+Jp@MpSDxe?%lHeF^A170L
ze6Zvnv;k}h5sVn`3=sDlTpn+5Ngc`l-BplM?Se1vxm%&Ez?9=viplx-(uBh>ncXf8
zGxZc6vxLJM-d>+l_>2es5Wg#m1`RI({ScGk01CwB<|Yh0ya6CDihu&ZEe0TK+e!zW
znlTRp(kc1k+0iyNDj|(!E&QR=%@fVl6B35Vq=6c%WieO=-WOlN)UFUWrQ#@0-yd7U
zzt?{NQ8Bs7JfinF@h4Zr+~Bv^U&lAwDWMCBwHaUggOxPuYF(`-y_}P9^P*gfZZvVO
zkX{MF1r^&Do^$>)i?njt#A7B*V9y}5)A;am5WaPj(1ccSw_g67x=i%LS2cEv!4mZm
ztw%82TC}N5v%n?jdQ!CUATI@*Nf*NZGvek+{aT+XoBc3-J%labFTdd64Az)UL%8n$
z3&v(QM}K>qZ*Ms7f`7POwpnbjBPH^@Munh>4-F>rN@{;Ou^}TPW2=+?{rk5m-4bx5
zyPKSjuvv`}+S=NHV;&?*=oWBP-cIQ4{dU`CM2zd1SR0)JLfDxqXglT{q>48M#m|}V
zZZqo3ypll76datbg%SI{h+ju!r>J6AHd%LI<0Ii2YoIFcrU8H?XMl^SnJw`c#jc51
zD%1msGoFWscDJ%%y~jhFM+IrFWLtN1sL$%N^ryifJE4O|w0%_R66>#a{QlSkj}Tmk
z9nLv==*89yzv`*%BsXQbb1L^hXRY%K3#@=-%4O9pI6NEyLL`b%+R~CP!}C^c>y_1b
zWPQ;j!^-mb;qj=Pb9vz^JBlB0!hRdw!B?HoM1PW!U^)P)W8>W_XmDht$C3jL3#%WI
zbEN}l=iYaflY<;@3XeNu*>aCFG$L}kc9{c+g~CFw;kGs!<epoDG9At$QzYgW(1s5S
z`b@ulR|A{Fg}3Wg8PgKf55wMoQqa4FEF;}_ciKku430F&3nnMPF4(|!M;9DHT5l96
z^(TI>@@@Sj`oh4(7})g9=ZL{~#^_1TNd+J%>Mo;R6Yb>d`Jb)snk~y$vH@q4bsF+(
z<=%pQHQ-T-WB`QFwzTTn0F|x4UULrw(KEAq3TCT<@+akSv-GMo_W65dNMwA^8ZF>#
zYR<j$m*`-o#c@yHYv|`lj8<!K=aIhB5^?4M63tqlAdV>gLY3{WIZi3(`cvM$BWEB(
z{|yI_@M&C3x>mSP#iGw(T%6A(#zm3}Rl7gl>i(L5aL08=*+mU+UTVEy+#7l{uL}QW
z$*|TN8sjwc%OVBcbTeS<D%brU!9>4@wLlrSPIbiCY=h^-%L-Aw=_&H-steV>bn*Kp
z=zl8gBgd6Ime{4a`<BZcE!c-%xy5xBfBc39#Q+{+>bi5DnKuVo*7Au*tyUC}?DUvD
zSRjTY41FDC48+zV<4;D5f*o~+znSxoOPNzNO_i?gbrKPfF$tyyLU7q=OYE>wJw4}B
zctgDSBM+j22vRj~La?LRy+!t9QR^F1sL`ioJ^WoK-DL0tUNQXtjjK?QpDw&bwDDaU
z(;Ixz1Z=%2JLe1n%)X?EE^bKM#U~K99Ou|ZrG6czg3;m+`I8S4;q3<fS+<*z`O3i)
zl+V!Dr~l%TtM6Y2x_=#yu_qotwtqQKh9NYNGjsRXfGIM_{sk!4ECabpcsgpZrLO*=
zwbgw6FEWv+sm<tL5%aUbzq57^`Xbo~49;aTsf`*AGnSc194%JP#0%!d6%`1tQ@0Oy
zvn*cezRbEo*O0mHIi!h#j}ln@D0WTIegB(ME?dvyVVsWf@q4FXDcbR*KiP|$<JD<c
zI|rOgt?E|0Xc$=RFL`iwAN_Hux=`VcSgZlwp2IiP|G~>yrCKQ28xd{e6{Y%|<)?14
zfM})Wn@ufcw;y!O=~{|whAF~n8xZn2*DoAVv&2`_AAW`OkZ3fE?=l+)U-%vR{WcLl
zCkUL?GgcX^#xGqivaE2}F1w|ebU_CWHtdCzP(JMUQu~h`K%A|pBlXXW5xQ8Fx$^|i
zwrWx=7f=s1Ux%ZN?TT43h#p-YY|W#krErR9%%`HzXsVWid;GdE=%_R&8%h(2L-c$<
zip{xD_OSj2R!6C5gA3o8u1=wd9z+GeborCiAof#kR3d2@)xKvuojcu7>ENX37p9xr
zv9~p+*46~A`1Y#e%lSSly>veDnJD6^W=^jqYqI-D5_tjK;H~oYf)7VO@DteOp5Pa%
z<KWA`;`}rB4F`^C!WYf=eA9S7Z_iK+VoUW~JD_sS>V`6Vd62x*{m>G$wUzE8VrA;l
zV(2iVpy8clKdla=4h%}hmAI|Lx*TK0k=!vbtSuQ*I)^r+fHd#F8grtUYXj_)dFXf$
zT!C!Osx8-HXF^oA7i|)zpBu66NrmO*!1#Y>W4P;zh<IQ+_=m%rOjHLipl|y}g^2qZ
z>c&X!J1#80-6!|^4d>&Fm|5%W8HKUe<n9vM#jc<#s}-C|x#(2yR7NMg?J&nX9Ff-U
z9>#Cp<mJ}EB!5$-15|Ck++_bgKlIPw_z*F)g=`a~qG--9SZ9a!H$JSOYPWv*nf8B8
zq*W^Pcogqr-sMgw`v}dmAYdX~X|7u6-Tt4W&Be&N0K|L~(w<cMUkXk^r8(w*Qg8$@
zX2H~OtrV%W2CE`_gkt~9hy)DzLTl05pyuUyXFtbW@1Y*C{?UyhbhUT}xD3l%_nF&l
zF1qE8XV6a@x??MQt^b_>UunxaY|G5)O2z9BKtZ-~?ZLMC&a8RAt>)YZWjetN<tl91
za^Z3}Yg8AqS!GRdCBj`jIuGjJHN;+Z5sCyR-{k64*9j3WW<*$Po008{qHfHFeUD=5
zxI*@<r0Hk^w7TRoqaQ%8YFa=4hcPjg<#ZwH+G?dZSDuqH-hBa}HZga^7CqJnUQv{+
zl;54%0@|lwx#AiKzzRp|^#3PV6w({jJl>l@)s)WogA99(E8N-|nc<M0(=o%2t4nhN
z*={KZ?Y}3y&J5&QaAqJQdRcyTB!qQW;YhXn8+|ij2?cbc0Bs>rQ;&%CiotWUQuWFR
zXiKxE;cs9J4F_}|v10(-={t5J#F)#S60*|tVa2LlQI0iC{m54_{pj9<THsEs?6(`9
zO@zRM6X^b6z~EO}iSTz-^isU<erIA`tqRNy!5eu~uN!Md<m9_Q9joa-P199ir8&0z
z#~IK}t`f@PjE}<pbn|}OqocQeIlL15onSVL%ktromFjB*VH@+k#fz<lCPWiqEPDpc
zl}c!MyP`t<Z-GdUV<zFr{<AM4fvdrA7#5Okx}FDb=uK!F*{~Gi-h|9eke}RpHg=ph
zN9CCO+4J?#hk1$Uih*P?2XGhO=KUDW3wx6=@<ep8aaRXS%+XD@2NP}A0oIG~<ArmS
za49#lcmArjOoS0puG28Ht2D&|D`XgWKz319&Tuu~(Qz^$8Cr0&!-1E^O29TuDA)WR
zw6sy7sBHJC-N)7Jm^z@iLf^z_P(%dE<d3nKp2d!JE-CC}t}>ue)^g73_5FWja_qS9
zx93lG`;Yr8Ty)>a?DCFv)jlMU;}fCU7m#)yeNiIp{*F;3M)SX(B67WSvdVc%(QrP_
zZgMkd$5g=&9z%vaz(OH=x2(Z}i_wD%PqNKGd9WXFASRtk20Mkm!`vPL5@0>mFM_E#
zbLM(R8<6^*AH<mhXaPZ8qH+INaBzE<elhv%+lP0sEdq#}(Qh~F79n`o?nnY-VTd7E
ziZM5K@+gOz+ku#f5?~}y;AmNtt83|kwY^Y<+;M>W98i8MKQki*r|EUpQxga~lDx~T
zKSf3<wEl6f>=F+^!35C<=6MFVQe-JV0g8RcFaI?_Qo?e`Y)T^T1Wz`){WqWbqJ1<a
z8VpjuGdb?ieKH^o)g}Jy`NXT#adM$bOCSuB=u%@%>oh0v1#$0vp#S<In@co~)=?c?
z?|3!M5l%%3RZ~mo7^?c@MgPlR<s?vx{w<bNM)qB`J&@9jl_}qBXRw0)e#|e84aa+T
zE9`{p;Q^5+H{}1SwokK)+JY*HyW=8B0*0&gja+uTNLstjCqDsG<ofpBh(&<l1*0@2
zfjSxu_+r5D6UmV%gh;?jsqL4I<M&Aqwp4mz)vCZ_1x1;-*ikiy#j7Psz(4}ngSuJ?
z<%|`ePP+!*t8maBchB9g)fpMWWZvcK3^vxU`hYUt^O@mYuCD*SOaZHlt=M7Up^t-?
zLv<(;DQWd6DXr<(9klPl)FdFyz(q{!yt{k+wP!jJl^9^yf$bP(DeG576U^ig0R{qi
zVe)|3$EPu!%B}UmRY1cIlS|K-iq!FY0)#F@k_r%tf?S2_#eo=5Pa(5VU&_N&xFb;*
zN{5nVbIB8_&b$h8FUm}V-dj~B){R51kDbobqzb`Qwp{}fSI*B+L*7xFhVN7D36+|)
zq#h>L#*!`&%>)pKts3p{mwT=wCgYSq!}h@vI!QV17+aS2w%giE9C$uF%{uvjdblTf
zYIL8y?fN=CQCLXvzmEaqh*eA!1@1+DTpQq4+L&tNo%{CElr;Q4=Lldnjvq4cpOG+V
ztfSh2#}sU+p|L;|HFpp{kLU&V+@Dkis0a8hv)=zxd3#<t26ZCpV=ihHegq2KBgYfg
z3=R8Fe`|SQk>8DVQvBIs{sWsiC!uUwCLnXwT*|vl!!E78W=kyx#JWPjo@T`+Wz>h+
zS4UGbzx-zz8tOHe$ecu*PCx%wAuQ-f@>XvHm2Q2y63?aZ-;8XkygN@TSjp~<0ehna
zB5stlfyCfB{hH*)#^7h2N)!o}WqS0P6N(8^B*xkdV8z~x7=Fv_rgR@oHiK9=3;`k{
zz}Ad5l>dXS&;S^Y5_JqnGZ1tC^*+-M?={{j+7ElTKuKDrle{?<8RQq3_kjQih>{jg
z0PPTY+M#2S*{;L*-vZVpj(2ID{3zP^05l2&tU`#A&1$cF0pHm=vRUwb!X@!Wu+N~k
z&z8=3t<TnRH!qs0?+Yymm~zUn3(78z6tY&yfBVXDY*{`+HpBW`Zd@1W9O}Q`ZYF)p
zAse!vW`TKj)q1Aie1zcal~Lvjk&AinMxpqsbwMHFXDUN7jX@QiC~1J8{Sh1$N8;o-
zBgTWptdm(B($_fDjh%kK3uMm4+p+ZC=QV&TKRGI$v={Ay8H?H%Z%Fjzw%`L8=F5jp
z_7d7}D|wB8Kf}RYNmFWvQF!hOxq}tSR;f=q(ZpG4#YRgI3f1AF_Ch5)>OP-psLs1b
zsV{%c>fN%I#U3N2-b%LQdAqA0EG{;^3eUgnnp+&<KGW8gXii#|iB^S~Y%|_rSie10
zjU}{&N*QWX<c^g49vnAy*8av{Sy>4Xficn1osTz1vW;)yIILnaGJVt2v8$~hR-4rp
ziVPlnq;&6Bx32E)i_1%WfcQFIYi}RqH!?EPbOAf<-?%?NKR2AzEf*9Pnq7g8j?GIk
zjg4)LjBizLRWMVp-F#H~@3K#~$9hor*$4q;alh{&iAVs&Il#{~a#+iy>^5>ce;vR6
z+q1pT_T}cE>CDNK1{)t!km{4{Zqq%&Bb3lauAM;k)~zxI$LorDX@c{pD^0L@=%S8t
zPi7|9^GYlFFmXWfQ>iTuCWz1MH4*TrR5@VyqO-QA$oG0DENxfc(G<?<dK(>}IPJT<
zynOXjxppg1fY%tbY~36Il)*6pd<lhY`p8%s58j>I%gwyoUYbi1zb7|9iu}x<X4dQa
zBt@aP#Xqm*LeT7dqTlHU1ymgc?+hn801fNzPMo;`$z=K>ORP!Vh@sg=TP(jf^NIeZ
zhu<$nkKgc^ZQTZVCbm~a;|(q+^9uw>>4$vLLY~Wf=1ags<Ugri^z;!mnofeAW2#F>
z$H1uy4v1?6s{>&gCJsAQQLc7J$E@7eZX2(C85)hbby}?HV{3Ke!cgy*o3I1S#^GF|
zm2f^R*+O<OaLzs~wPw0sjdC__Me;Q4Bxs0<i|YYgnkxu&1=KxpG{3dKz1UF5qz-IF
z3CN76^SSNBtM0G03%u75PB3xb02Im9arL<UL2lwyzARDO{U$t6>y`A)fdT?_d#v~R
z{NQmpNNH$j$mDTvyXtwT)%J3$0kl|pN@xy0ZR-q2l<hOGzgkJqVOl)I6VQ;a$p9pg
zc8Z0Kq<XF?T37wYqt6z1A9i<7*KMU?k%F_|pV(?g)XnV)-xz<fr!18B@TAVURU5RR
zlpw8b1!d3;%2FOy^dOGA6rPKM2uElY-5?W$JyDla`#)BeayPkP*1RtQuRodHBAL$^
zC`y#Rg-&A96Wn?YMkdP3%*-6*|LpG@9v<H32@pK~85u+$KO>l~m;eS1d=sF&=8v65
zjaikIm8IJ>!3*bx5Or}zu{x@5Q+rpDrx3c1zrNtcOZ6yCwL8;)&sK5x8Qx+<7N7vg
zKH}6OQ8s4b5!C_Yfizd<4WAGfr(3-UgJ|_AM#aV!=jRu@cLV{jt*P(SAupJpn3!0a
zf8LZ0sFbU51p~#4Kw=rU9pGce&Ka7^(t~UvoR!%Git4WxoNXc!uroT4hRJ1aHD0X&
z?qv)<UN|;TZfYrpQLcDp0H#SCC>iq~tmtBv6?kC-61fpN-@bj55LM93sVDkgovjEV
zQvCPOT`|@(&_3@>D@dhu=h8a%KhMuC*NPujnxN#Z7TPykWAOt69X%i=1url#P`VBa
z6Y~ou=G-x}o}OO*%G<qwZ2fo!WvfQ1%Fxh|dP`YwFtmGX+hAhxv>7i%LG@gH!}tZ~
zibv!LZQRxD#?8#4lqNd!=`{~L@lr2<VG=NHdWNNCb5BUrBKrb?v2th4#bssRYa1h$
zkDYnKFzNLHhH{jU)o|bs#nVT+Ulo~lZw(DxK(Su(v7)kaFF?rQ-r=wq!T_|n<x)+d
zT}E#hmO=e8z`dGQKcRIkJ}0-Mr}c%|{j<8u@<GXRY8!gQY3}ZHVxAK0jQ_vV$0&i<
zq;Y|_R6fwHEszV*Wy5U*4hTd8z|Ffo9^~WQc>{c5l7Kh=J6||3GP2!^rDF&bxvqG>
zy+9Nw(Yz-eUT^E$nJwn%oR1eeBRE&ZgoHlDQp$eLG#O8qO67{?Ic@O2IhwCFpQSl%
zfAcD9do%}98SiHUA$u0Vc4$><H906Gk-h&GW9X3q#Bt+Ht12Q64@DfOV8LluunTk1
zWa?=BUO`0g?!=1AnnJx_uQGVwp09Fpb1R*WRCdQR*0>6Jd3aI)&)fGBj6^Uruj4%m
zxH_S=HqVERV50Z4+UkB|zOolWnGPgc2-nAW&J5Q(d}n56n7m&-c=`D7?j8<{%K=|+
ze7sO8mCP3MP6Yzxowa~3qjsysfCvELB)@3pUv$j3ZkVKlEOq{sr1f?_$Fvf7m-?dA
zNB;*w9%w)m0E>EL6gOn#C^nt^bk^Q(7jQ71z@X(mRYzOa;0L_2danwVXtcc^jDXh;
z<{gk<SO?ftYbO=EE<jl`79~bJTmB&5s@-2VuTGC&NPRM3x{3Z;xupug$*sW|Sm4qq
z2I5N1sj;C}rP+BVI#-Bhnm8F!ZoiftO7$8l0W=>k$jQ-21?j^%JfB=BP$l;<L9%pB
z$(Z&yP{ty3@O*HzCJn?&4JCnrv={bQWRou8KokHCfRvhjT_<Kh3prUZ+mh-GOX$7d
z#RpJqvDs4<-;O<6ym!R=S5w%MwG!I~yo13j#A?u=`>Kwnuoj&T!U*j7Ozx)YzH#}O
zJc+&UAPXsofg?B~JQEK%VB9_>io`Mpy`|L$r+6b1e@;gP-iQIE8L?ck!FM@2^Z3yA
zv-@~Y<v>b;e3e3oiaLAhMBwbFA35l4-N|!%LzMlNHc>Lw-@1jK_m&KK=+U3=FL&XP
z?Dyc?yzSF@0<lSbJ=wvUG<>@D9R8)<@Rnncrd-%NusdZr^)Vav1|e@ksRSss)r`cT
zZKl1O9{v*$MUjMC{Oqz2KL``gmCF(qO`GW1)BmI*XHjdb{fi|eNKOTVV0}(G<7)Qb
zZsMi*w>hJi{A2pkru3*j|29Z4Zu<vb$M4-e_X5^$SIJJ)Uj1b*IZpE*lT$g>u^@cP
zn@y(i)wPPpi)*mzM?b8W-CJPDkOUlYx3#VP{?iP+UrGUpqG=ZO(Uw*dRGTw3$Hz2C
zmw3F7{`!k*(f#F(JQ_}=h`DO-lIUVqB*ash(%CL(P-5NVLUp6IiETq(9I#$FxG@tJ
z9)O-G_4O;UP|8pdpF~7$fNRDsh%vP6r$~WjYWrM@>XY>DtXC|~OR%W<UY3q7`YJBH
z&58B`#U2j<a%~V$$Kc^+YZcq?b7E#_D!4U1s&mxhX{^1-fsA1bdS(aMgf1g1`X|^3
zbxERjNdTNKMTg5ZasmE$aMBFI5O4UGdc#@jcw^i4vB=-Cghgv|&#__xXFeYxPg9_`
zzgE=ac>|h5nH_DWv$%B5#Z%D%w%<~QO_<p3Ri-|c8-jWnfg^q*1V@7vuc|s}MC9ZY
zAbVTB9c#R5?I@yS_%g6H=whdMjN#$2kM|CHW2(ZBLhf)RGC6`2hEaj5#`$a1bHM&4
zaP{X_wS`U+|CAf{z7(X=ciV7;2pZnLW{`Y!#OQ(=8AuOSIT_oL$D(=<Je7<_^QU4Y
zYsv)7-MD7R2iuj2n;O8q|Be~Pwhv8N(YpICHg_X(K4q-%NPVvmg&@k|OpCgczNPcx
zezb_SdU;kj*uax)VMqoT&kr?T5G%D8W<d7RDxFpaOPKMe!q!a}ufKfpOiT4ydkK}=
z+U`93%;WU9K>TTw>87Xt?@Oe9t&_2=E@df!`*zHzX3|&OzTgPUs*}*!yBfE)F=HdO
z4-mNZ!YhfkX#bj?207bGEvY7V-=k4s4<}Os7xIYhp#?{0Tp)1nFZ^psF_*w`&Bmk8
z>pr!IOuiZ_Gi_(%qP=SM#s9-J_pv*U?@I%D+0KoUMpgMElX@)=ME1`d>5dF~dhOwp
zi+Lt~N3skecMYI;BH}%~40C04faScy9`Y17XfUY;$|V()ZMI)N>eSpnG)<KP2`w(m
zkzHG9q&J*vk>=g^5`b){2mGSJjSA*q5NPFl(LbxDRJQy9rLLA|a{RKv-9OC1|9lUm
z`272OhePM9N?hrIvL4B~IBR1i+s_-?g#d4&z#VD&^F3H3Ip#`=ua2PApT@zSNJKPR
z1~^bNPuKHdq}J7ul{KDgcf8^H>PipL)*TK37x&z(=ieLBY(G|PLJvyTDx&}TVWHN7
z!Ma?Ed{{VkwhsRb)MyfGDgX&((%QxV(2bCP{*;{%-ur*hz)~<NHxcjD7Uc66yN&=#
z)lnD@mXCGh3TF`D8<qb*w%!7$>M!aVMp05aB^8to=>`P>0Rg4EySqaL>5`Q0?(XjH
z?!0t&zUTUXo_XJI=5ut$QRd!XoU_l~YpuODNGeeNJrHN-c_J8#(0Ub+an)o=Zt^hA
zn`|57gK~1z2l`SvBUOU-i{_*YiU?PeTEUWTdw)=LPYkUn?U<dL^FfG3z&rQsc0pX6
zd~g9s%xatho_oNew&9m!da%pP!47z<_N^)RFSx>tZ7i^}|CRowI%z2u9G^(6opM2)
zN<Q}kR9-bX>&WkyXCGAl`xtEZ7cIwO^`MTP`*og*+4ho+PE>c}@Y)9M`fBr=@w=0s
zwc_2FX%bwMG9oDbqZ2GlX+AF=@cVWjw)GLZMX`Rt@=RU`>k)F4*51SC?ae#n<^Yft
z5N;T2u^;^m$vh4*a^y_5Ad<S4lWFXYxIaMnR7(B?;2%uz11apd!7BYj0nT(ZPUW5J
zL&)xaOOJS<+&dbuHcu)p1cZ$@@*QMo`Npwpl6TgXjOFwZFjsHuGGyuX<uo+?KkfC8
zq}YiM`f|yY!#P%hZUg^}mueyb%b&MM+<)%R4Vp(&l5fM+-JzP6pCwA6En@^BHC9h{
zZ%!X{Nfy3*)A=E_P`C0QkfV)^%uLNTX=N-&Ah4BNstcNIV;nR?311U4duIxp{*zL_
zCg%NnhiQ@4BiH91pKN}$=f9O`LY>Yh5ASywkkX;n#UU!iduyxc%*=lO9bnE(OsC5H
z0#4)xu9EQ^)H(A)xm<xdXU_t@!gC7TGXmyho&sVaCGY-BwcjJFry*Hq+ym21l!a=$
zZk(h#+vJ&R9xe=6)Ni?eqFpkq*EZqV2v58N`qy;31SxHkYGlw|bC+=-O|k4XsSUeQ
z0u&sm?(-YAI5a=H+=t{mpESN6u;-rKS!ig(sJ*s-i`6d5Vc}`ey(d|mZBmm|7&U!n
zJALMKx){6+Z}I?xk3Qn7*qCgz@YtJb3HGS*WUa7lGRb4ehheR;dzlf_w%oEU*l$N4
zN<TblcI+}A+l*uFMT{DRuCqtGyWS?wjikm+66Gl`Ub{OkV-UMMgg_BOhQs*+6y9*=
zXt7m@*e81*5ZVB#%VX@?AZ@o^ymxRx@6l9abs?6V7@)B}zJJlyAc(-zX?;@n*Jlr>
z5OlvROvV`$8(Lj;t{l!^H^#)%C63|p58wW*sDQkF?ZRPeqiM8YVgEO`gy{VQEuyBR
z-!H_@Sm>5%je(!GmOiEG@(tOzYTFd=wstupy-u49-G5#Im)1ZI?K*m3^HsIqA6u)W
zqt}?v(}lUcy~vnQ8v=o+kh^F`tqUjr$oS%-W45=DHf2Ulq+s|Bfku<1(|J)Bisscf
zn4l_|&F29uWae1j=x!yB)S!4){H&g1hn=0`IBgA9Pi=8`a0bVj(UIBtiA3vG$%*|X
zqq$AfIN~J&Xl3_4vfa`#HmE4z3qm4UxVFVAWTAC@W<ldP23usb5WVa8Y>7Z%_kbc~
zqCoLOA}450L3~@XuBAMxa$n&B_c8<Y*jgu9Bn6?qZrcuf+p%3&*~=A!Te!N*b`_yG
zT~*vty>U$?Yf5^R82EX)rYkw#C~+AnM!Qn=%UScQA0I<Gec+c7TW-UPf%=;2uT%n}
z^9H3i%u0E|5f`H!6-SqpzWb~~<~o%iiG5;xD4P5D%m;;vCGeJ^OxBz$jBY!r$llgq
z>+Yl(T|~06;Ts@pL4cuipe5|D!dk=ll4jWeMTofi1NmR9q**YgIiiv08^AViHKtk7
zSZ9IQC&+rcy)q56fZ-Voz+o#s2Va!<bP}+Wxw_~FdfiFl({;C+{cWMXMbC|tLJZ8C
zLQpbA{Z2wUl;VM>$XhiZjrI199>)=)y;n_{4UzhprF}k_h0ukU=8soB1h<k|5hz`r
zjh;q-ZDQ9DcKcy;3B#<oCu7J!=j*msrmnvNG?0&WVCYiEM!f`LU9FMpq(_*y9m;2;
zPG@er?VtC^W;IHEr<nz`^iSa27Tveazi@AsLVN{=gnE&=1ny5zd*{YKB>9Hp*+^VH
z+4o#<6FT=xBUpzkRt<0FV^mv<UYXuNmYx7)gswgX1U!^L<5Ax(6+GEPd@{X~Wz)WD
zb!@eEKvZ~u*wVTyFBxt5>>Dv5R%x}3ajKF!oY$`+%X|Kh^CPXERwKdZ7s(4X4|n8f
z6;^zv`9+We+!o<Q4U_vNQLGmq8-~%J>n@ouG-a$TW5=Ua>@EyJkA@DhswmR;-AX`2
zwB(di33TI7Hsbw_ksVBqyonDS3TTR5TFkcozLIy_7J-z9KKuey&-ZhArY^>>z=_9e
zT%XL2DL|&md)RTYRlVzCVR8jp3JOoURo9oV8>b|v^Uk;lp>|P&F6Psg4awFh9NikN
zPsF$4P;y0#@z5oI_Mj0(j5qoA15ZDsEa!N`-7fCqb3PreZ;ij6k0&Xp+e&X9?dRS%
zPAco#?Z{2zm1o{(D-bKHYxXp=bXVTGBnA(pg4JSb+^RuCCm)2=`;p#L4#9eA$bdSX
zILbA*sQB%ul}34T_colC<BXE}y|Jo@`JZA}D!{uI(B3=;3rVEFb$1wYf85Pu7BW*C
zF7W<0I{hubA?l%tV^L7u7XW(NsTkHrj;6Im8BJ=uyA9#mDPN3gJ~>=Mj8wImV>Ss4
z31vRWGh1Bmw8c1#5)1&qh_19@whd6)WeRbo=jGA7f`b*)6!;xq?F-iZw}Ck^=~O}C
zt_EY6j2DgrDt3Z3+$aQ11gGpc(P~Y+Zuw)@+$gfaQQ2?|>1Ab@jT+0^(@_}UeNnqR
zTha3$lBf~$Kuu?Auz`fv)N!RaxJ?wRz>dh802&CScG?^JKg{peau`QKkzp>{fGpS#
zWE&R0BmBkzv4>zS?m%>(&=~bmnsf+F;AYbB?dQ82E=}Rs%y7=+Q~<zh=_~&NVlias
zK1`S*<ne3=kW<XW2{duv9O%~sVvIz8ZD#TPfqy>{-D{!${gH&M@!`wqf60!%)Dl^N
z18vM_C^T-31ih-E9@=@x8pwA31LCoH9I7IZ$a=_sP!(H&gc}!nq;rx3ppQLL4`ZEJ
z%-b*r8X~BZ4F_RXx@K|#TulG(;=43vxRHO<*Zm^})Fe`CBL!ud8Xv;H_vcwli9uKO
z>;7DN2*??eZb|T2o1ke^=DpLo;)0yTt5*#QAp3d^y&#p%b+2U@D?`T{A$7lyiV7!s
zKtS+6;sFYYH62)6m6b6AbsYD(3m@>og8DCk`aa<lKcct8{c2HEOY03kKmXT6?x?o5
zED3czLqpru-*{^W2a;dDAOIwUQz5_d<SbJnCQT++>J}JV8O7XTw?z%~<&k$QNx6I^
zMU8RLbu1mo#!O2upk54$i6;dKD|o=3V?{3~?Wfhdi`0SFoYphjtpV+u)6E3{nr8EE
z{ShV6zTBT3_{-#_-yi)aCZ;=*T9!bdde#hT%%ntzs{k~sK#w|PnC#wlHZ0&dR(pB4
zC;{$ZUGdA8FY(Li=tbL=iDv*Xbk4ha34NiNZXnTxY4?(TaLnCyI#Bp_Fk9|>a|Su<
zrA!V3*!A&hyYtneBUIeg+uv_``M0l69AG9-$3VMiv*Zl<law^%`E;iV{pPt!(`VPf
z_ieV(mE-Ad`RR*<#QHB}hLtEqjaBf^-8!YLT$<nk0pKfG)5N~N+LS#$H!siR^u4#y
z(pZ~2c6?s#yF4@#Ip|B%ms2*SVj?A5$fqRW1$vyvltrXGHq)sU2&DVRGgyLZV48(m
zsWJ%AD*#FY@$kg-G>gSTO_w>anENa$3LLBAy3WAu$B&F)g}#Qu(?E#_5M~pbriuzy
zfVp!4+()_6WRm(!>i^Y^y5hD)HB=iSs&Js7UGhppH(DfH=aX=z3=7?cLT0+3fKm0Y
zyp)uc3{f+JV4oj9e&9lw0l=3sX>xLQW?II_%35*q_t&pq6rB?%!=avV=p-aV=R4y!
zC*7pbKmGv$I_KM?W=jpVoelplvRGKB`BrTZZ8ko)h{M|a{tc9XltCq&)~T8t8Gj@3
zi7P?@PfnWeLarRE>FGKuHg=Xod00tC1`}`vc)-@|6)|@t_`JweA>Y#}Rm)1Jp#Oyu
z(bp#U1xnx&yS$Lwy8hLwW%Z|yybErA<0ydO;>?;{Y$b8sXR>Iz*^)iPA|;hpQo<J&
z7M85~50wOBM$^lhl9CT}xX1t`loZKDLPjPGMFbkhhuaIu5S~X|EeXg=d{!fLTE!w>
z{ll$-rWLU~R`w}u(hXno_}+p@j+ehV58K`QYsjrRWz!i}rhmQv_m&G7ZX=r>BVJ>=
zA^QfKf^vj2@D~jy=iil;mGMIkAf}|Dp_!>L#sc>TL#NSzU%x0NA|g`Wospfret0+p
zRG5FcD^nXE0jJVCGz8UR219^9nIbg}jfq=EjaKV(u!X6qsp+?7>+ES)R|_>^jXkXq
z-Pd($DJ;;ZJ5btmDs6HK5;lFyuMPSgY-psvY5)O)*~QK8?R}5Fr8YKeFMOhr&`Nz(
zaB-hws>|q}{V1LE{c?IR6q5INK2^<|DQx#D3Y^vz)4hx}E6>5Bi3Rk=#l^(}&`iF<
z|L~)@`H|qq!h%{?2ys82rdw;uCzP`fhqVwApbP8<Th&LS7y^()7^pP(qtLuJSe{Uc
zHsDIAsi;<b2rX8??t>h8KJmZ+w>WldYwL`xEFI?9>x~F$C+Ow`o9i{up1;;F&dY1l
z`hb45w*1}IWsGkmIsfib`?K0BrbmyO`r1`1&JW6k`?L)Dqd&a{Sc|eIbj<ch)6u0Q
z^Br{8g*`JtiVF%DXhy<7KFX2Qd~u81A2?lFxv!kL&iQ|jq%xuGql&#>A2r=CaITg;
z1$4VZgbNi|?04lrKuGKw-rL)ot#@RstgH;4Uvk+i>~aU_KNiK;6`+DPx?dO^4Cb=k
zf`Y_Qv8)|8F~_1E79(&+T<6CP{M}9B8U&tILu2F4cs3d`9)sS%-|}S83|o<)h{tGp
z-=z7OGv-Q6-{>oAW1HYMAx0N@Na}>rpq>J5$s0=!0f<@VlnGa-^6%|?ItRi%@oMIG
zB?5fzt|i&GKcGkv;$0rFjME$hS^zV8S?*w?X^gy~{b6#sY!)&GA6g%Za1wmUl59qk
zC?w#zB<xPi({Fpj=16I4>!8)S^laz%wvty{{>^X;M^Ek`gmL~6s>@O9+FYctmOt;j
zPr8D0&GP_{P<A_<T&_s3bCtY+)9r<klf8|M4H;hcy9iv2q2n-;AOy)30HRT|6U?ea
z4Ki}gE2)$y&W;FH{JFSkDq!p-Bd0=@RcAz<#E!sJbGn87jSks>q@UF`%)f(ssZRSc
zstx$Mz&mJ3ZSimE9m2NArmv1o=rMeiB4eZTK5KVn<|lgzvdK^CIC~Oh*Icg1gc6}t
zglc}a$50NF^y&>`ruqO1t$;lAWw-hy9z?}v++?Oqd&}w%DsqSShyTih{ac{WG+z~Q
zRCVy;O-1$Zew|wub~<34fFC1rp>JbHpim#2FlRG`OS*PfAi19({?v|_*gZOD0~$KV
z8Q%oFK_mU>@q{#r@&7H$zHx_uPZxiNb76mf)k5>=nxf5>@J*Ueu_J?po9>U(atanb
zftf;?iMX;xMd)kgcrF#yA}gD>QU{rZw$~OD#0@i7Wc-}>|0sV<Ko92>F}|BJL`R8`
z(km*$%t(>>!8Jazac8!osmgK2NO0?SUn(q=;E4_}Sc^R-qKL`9$6di_+`~<9)sd<u
z@m%%jeY5hhqE)3qf3*GGTsp8K7BiqlL|azb(QB;BHxCbthPF3Xpi&e&jn+g~xr^3x
zz10o$LGWU<pkV_nTd8pSk#l`4H9diM1pe#r7GI$vUF%g7e%|X$XcmLm4tr^<xyJjo
zissSw*aTEg;!CGk^mE}c!_f^s{yrqVQ9%eht?$1ZXTXa@kl?qsq$oYk-94wFv)?ZW
z!$lEP?hm|_HOm9m4R0QgRupG8uTs&8*S-y!09XJ6=q+{1&%O4Hm<1=F8xo{)M|I(%
z<noCjqmj4FBTtr+D0PaE$J?G=J3~lti8<d%04j~;eI04>d3|K8DCA835(<~Ly}vd^
zx!1g9b&x+?&s?-*;niv$`-A<KTyCv^bvkXeOoLi2Eb^m?5&{+`*5AL8ev1~A%W|D?
z#-nezTcl@Io${`3zP=)*2Nf1^#)6EPh59o-6hxzq;ww~2ffI%<y~@+UsROridmb2%
zq$IV`Y&;0110@&hb_OnrX#gtIx?hD6y1Avpl3-CtlegHa?%$Z^&rn{$`!$!X^Sd2~
zqJX9_ayHk<kad}jKbpwg{p8J4$6t!xO~?+*m%`$|j{DePiB4j12%}`CfI1ynl4jHl
z{Y0|&HDSffkHNhbTU99kj7Vcngu7Ig4ixzLIF)y(0>VT+(iUS`Q1oCe%@#Wd&7Qw`
z`yq_>?ovljjqc>J_1){Xn!;|Y-QB`{Mrvr>bgQ@L>B4{Aidk4*&lyP?VzxPV{poXk
za`%0MI+VB}hSq~aXoR049X)MKIB1Ex^?MNHk?YnFCS$kpFovSsWnU8!OL{Niaa{Q0
zqPWr^E4`s7_)KdwX<=4#T#Ox?$K}~N4^q_8XAP4{ZqX+cKo{laxWS*fZpZmL6;o<8
zl%4=aq_fjT`6%gCP_WiVtyf-;6KT*c`+FC=Y;e<qWi#e<J<IJKesXXxy1vo&k0Oj7
znjBD|P7$TnOFvhsM8kCr9{Z#AE9hHgi@a!#%Gw__e*zpVGT9ocGBo$+b*se}7G|U0
zbc(cXjoHgXEDS+;mAQ^Yxdu7x3_wm=0lbdqBK2Mn;wXj-VYn0jg|<WFu(tK;JZP=@
z#w_?gVeVwp#=w9?pF;H6@sv@`xl*8yhW1;~1F0>jM+3Zc8+J{m3?Zivm&9hgag=-|
zYDyr`?ggN+aB_x#ioj;~RN6BPeJx=>XF(#dF#KJ+GlSwcYGIKa6@VoaLLfW6QSPox
z45>U~t)HCg>(ga&OXl`BCZfaw;qY)lCwcW5se$Fir=<Ctf4UaTq_0H1KT=Hp#@r#@
z<pUK%b~_cD;QN>IpvK{LTy@bbI-HMZT3p{I*;t-QYXyDA_65T2SH2wKs+8%9MJv^%
zXqdTYhPt!t23z!6nip^X$@YR@aSphP*-}>%ZF>4z%5qEj{sC*LzqdGVs}LvO*|gJy
zH=Gtg`U5yjJFif7q#BOE`=(IkyUPzyQVZ)v6J?jR$d%`=Gtx!7B9h1$BK`3Ubo1lS
zjHp$$$aPc&e8t6PpsX(XxEd*FNAFOuF?E;{@2Ck1<e({;Omcf;=za&XKTrBfqa1eC
z8CkiG`^LK)>pKQBz74dWLp@46zopVQ?+~ZM3Gl_W%~51M9xyA#J1Y^5gLZJG6Zm1!
zs(qe{S!N4}^62zON4@r|22wl72K9e)DxTC)J&r<*6=E#b4&0xt{VyIi{v<=YS=WOD
z0`<j@u*d3!G1t<C-1kx1fWaS6Unn!9BUpOdpJn(kug&&xoQxN4*jyQ}7)(7Ro3WqJ
zi=?*ukB^no+#g1WXbXUjUNorIjB36sEiGz7Nq<Aeubhd`ouKKEyGZpe1zYX_Sj2&v
zFq1A=W$>jKqFQA5*XEoN3VMQoK{hk$K_K*I2LW7`JI|<VoqD}Cw;R0xmB&+=EmRZr
zh<{xd{<q!w(&M7oBqjRxYN*QOH?7IJT~4`(K_DWdqt)>0v@q}HK~LMOdAH^U?Iogw
zZ|+oj@*lIFOZ-oR3bAPrZqL|wAtNMod~y6SQ--a|NGZlW^7Xu9*@=-x#CnFhQ1=G~
zmuD;aqs;5S_QWpHD2A0fCp4SiHD4~oA%%pBuasTOjd_tHUXHQhPU&xPS7Ae#_Kq#K
z^bU-Ps)=UE_ZBQf{1`-n<BH*);+ZAhFYBpi0#`@?X@Te5SNj0YEE_9y4Ns%dF!k@P
zc?D)ovsH=YKTj!?MZp&{(b4%x55)&$$NMPzI-ZU6ahZD%7pe>jm-5xVWBA?lbM@NU
zi5+_i6<)ZK&5Vk_?{ZGqtZ-&>YZ^C=#g%Nw0`A56YJYq6cZ*&HZmIh4e{B$xwcdN~
zwN;juBKD!_u39i8fK4CjR%NAQTo?|bGaen$AdznP8y|irYgv7^-N!Y+6+ZiRdeXQ;
zZ8V(&?=xjMCVD_<{iV`R{cM1d0!EpRL4_WiiTyx3ys`LLY}HZoQ#0gIeuwiw{GY~I
z9ukd?-y?6_h#!kB9LWIVSV@TLE2P3&!PM9lQ7p0~(qQ?4YZB+{&4nj+d{Dq9;_3NT
zX^;^d-1+-Hp67+PGd-D$;y-hhR9F#WE-jj45KdkJa~M3G?7g8+k^kLNWrnDTm2k2g
zb6R?w`RK9fmWRh&DG)3B3+U-R%AbV{#}E)>be}WH9)GJpX>U#BZE{I!>y^UY)Lp6T
z@CXVC;>i_mZw-*ag^+CQxvLUDoO|zSN27ufN!l6_Im)W8k*A_OQo)M@J?_vAVoJEk
z7t$}|nlzD?+A!2nb^m;8f3{z6-UU3qSGt*ao}|1<rkG<TGv>S{Zn(`5yAZ|F&}t)m
z3=E0LVGtiGr(7<h@yhcZhyw!^KsX!KcjvpN-#xH*b6Y{mOs@cV+P@~_b*Dg|K-qAy
zK!o<?ehKi%S~T|tW7;h!rAR+2$a8_c9?oo=I956|ml9^77BvzRG(tsYciYvbqQdG|
zw3``8ea;%BD{|SsF>OB>!vQqVKyz8kU>WSw+bC00;>pYR&~`G(T44mZdh7{>vZi-|
z$>r50xdo=p)Mtjkqr%Cy1qYm2ZuOpo(!~#wJ73HXmp;LX!0Cr&gmw?BFDof2Dx1z|
zy8i|JgvzRAFYANU0;EjTzF|00+<){~v@p;U$N-NGC?3IM6DM*68}0^??+X$tFL>Z_
zeGm6xmHzIN!s4Rlw%rhkMkYJV7{{aEvli<~nJmiTuHRPm4y5xHY{krw@H#Kds)XBb
z)6(zltl%ZiP+^&$#O+X_NtgM)=nLnL)7B-45*-<CnfQqR+I>`P@^DdnO~sYI*CZdI
zTE1JJxS_0cjrY1f`L*YNd9nUcpE~C0R)B_1{RnM^WmF~*E`Cv}s5IcAvR+B9Cj5a-
zSzHt+O&ELwRyJYV`|rgimHU*@IPSm?l>NUAES``%@l&P9Pt4Hh%N2-QyJi<eIW#)o
zJtzbW9Gh@au-as=MQ`O6CQX`V>SOVy80EObWuePE&YQJM*q(Bf5nq~PFj<9lU;EQ4
z5=gQV`c5kE52gMhwwymiL?Mq${rATFSuP-#NDuevv6$nbpFWj(yAoRQRN<-zPYxUg
zxOoiE4>HcG=9W*>MqZykj(Q^D+3y9<8f=EV7bqnYkl6Vmb(E$d()IgQcCsf8hDK^l
zKA{K${iTbIDKaoQj(GXIpSn_xicqemV*TZ0PME70^53?C1PG^@TDnzU)&I5%M2#-4
z{~gPx-1&n-Pap>(R!KRHZ>^}~2LZ>JHF|=eC=G9yo8z+#LcfunUOL9D0L>@S%E>gN
zq9K}20dG^xTjqOddV&E57SSN*0>*h75HfUlCsdkxoC5dfcs+V+m3KJJ|BDz=MrZ_;
zabmsxY7;EEV0+ZJe=5z5E7a!-s5HXgTTb>wX+{qgAEd13INr^APn?uWOGrd8h{NZ?
zQl|Rir;5Ntw+KUU6*sCxAYAGXXnhNMtlS!&kaqWR#Ji1I{-+;J^jIQy6S&a;Uo6)7
zG;MV;Tmj<Qw&>GK5J9$n&;nCl!NkfWRlKL3Il*ZY#L+(?%_y87QWybY{N<dlR=B-s
zSEzt)7Mj=9i=PHVqBK0Ur8fm}u^Y00E!uyPLY%5~cswHi_EJYp5H0+d*RjnsYn2hF
z3^dl0yVaY+-vvkv8yhFAAE1*pUfesiUU=`g&8jQ(;G8vgQH5S}t3}|Vd|JIWmaZ_O
zDk#)$FU3U>v3$*jZN9hutT=Vt=tgT9?4JL<CvO(NiM`r7OGXjLQ1VBRLKY~X5)L;B
zdzFp__OH91gr;HvRPe?MqN1@}*1%`+DdA<JNWVOIaBsQ&BY%W}n!>?1QOEW*4=uB@
zT!lD@BDM~~6Tbn0h|vsbY)#558ZA)#uXDvp#J}~Y+F~_FyN<5kB?qhVXi0NkSm%xF
zaE@@h>O;}yea;J$!i$B9V^?-uh{Fi6UpdBp?)t8GliD140M!vfg^43r@^jvVCQT%#
zsPY#t-8{A_GS@2*{|kO?v(E1n*{h6t5CY!sqtO%O6&hT!j;E!@R|{wc*95<jCasFv
zupK<olr@bK8%gXuxlv3_YNZFUEKF6kC+qZpj!q5KY8|hg(}xQ?w&9LvTL}S&NlOe#
z_|Gr|GjTLmg;lBG!u$I6`SD@ZWJ9HUW}C6F>dq!<pFE<wl*#Bf(?ZJf2ES#S%kp7v
z_;g9|JR;PI47Pk~o~&{V*Z}?bjeCeoHZNt&ZYIhb{lH?UwVjS{rld-392aHPn}jxt
z;pvo+{ZG2y*U>JAXuLAphhJSs@V+9p`k_mD-Xf!noZ;tT7Mw)sgsQAi+pE*H%CWRh
zFyAbCv*uJj1IF<q%BjJQGKigi41FfmET)bW<qn3=k1yXx)Z`dqGCe+;(Zu}9qg7S?
zyO?p&>7Db!;s8rD&62nAmDu^E#MaQYX>OT9dGT!ts2I#>9+H@}(MFb^Y}jKwivf=e
zh0@hJuxz(j-j>39zGe$bHn0FnhV75doBP=V>Dn(OynI$$VexTUe;o2Ny*fT>Z~4*0
ziAfZxOfw^E|3hEcbXKKSb#)?*+`RbuH^y7XQAVu*Y&pY!p9_rQA=3juIv(CpQi895
zL-d_HeETCIY6ttH%iz!FOIoNS6~aO$9}(Jr!F}L$dc$6ynBFBmg{@a!=)eyjq}=xc
z@4y18W`XT@_yFJ?=dClpW2FMCydhDF%<7L6nSn(;qWSt~LRVHLc|m7}55Ne!4UyP#
z^aDd4yuZgMr#j=f3Zog7(s&?R%M=#E!_K)_Z$ED?&$l5BL;`u`kaC3Bj-a1|qHbvk
z8EyO@Yo>R1@Da)yK=ie$7a%FJv{)MF=vV;vrfWJ>6uvWJD@M>;kqS>ZXfw^PRB0bK
zWD2*W*3B0r#AM?1I2%(qBjaH$;m=VVHZp%tg<<63_8>%U=e1ol(KX+(S4D0xZB9P{
z*4B<W+jR7UfUCeV@r+bd=Zl2x#P{4#kqd9Q9S`W+(Uup35OqcaF6gswPjQ}ssTlvm
zFEWIy%eT!{B0FEwu(&`>@RTH#jOrW+8GG(9Ss0FslGw95Cb?i<pCtE$%wzs36WiW3
zu?EbU*ej|>ZPW+_YTfEZ2SPTs>_@Np|G&vAz5HnW*KYv+>g41EooTY~TxGdD<cC3i
ze186ph9&?ABpVAYB>WgwcPh`GUEi(v1F|M@ajwmbM4c^0TR<|qJEqunIz0KB-jx)$
zK1zF)X<_n#`!VJOHTjiWFlG3Wfsq#X?&V#+XvI%)2^<Xzm&5%NEL}lTGN|bK5BF~e
z!qmFMy1ky^VMCw}2ROei=tZ{z>hRNxY0YY<0rF7ZwuM?-sCx&{Ap@agGPP`0iOFOh
z#oZ!+9}85gLk{MpJud3=@&drD8Nd>7W=SUxg%I=9Tui9~(0(0gIL*%Pu+v!j!11J|
zPfbp~emrTETcrYqR@A}pfMd<0e-`bBLgChG&^I5rOb+wW6#&c(Q4NN*3HevAtrxYg
zmZZzOj&?uk++J%2O<JTb*hIFona+M^iYLe)XudCZh!v_d943*Gk(nvch6Ms?7%d?8
zhRQ?JMME($Fs#RzfW-I(Jp38BDchUP7}&7bSTUd>S1va|@q$OQD0>QIZ0Z5pcmQOZ
zMjViOT)!RWJ$nU4wis2az<{wd)CNNdVg?3Vua~_5DXP9$GGoMFZ-dml-?zbN3(-Z1
zNfWPN)C`WMbvXwtHzxHXFmbBPk;?<=Nz-g~uz4oRUT^Pxe#mzP!Xd&3%amkKI(Fa0
zP&B%=X5Z-N=<CD-k=s9Cp^Crj<3X2P|Fw^MsR${r(ZVaY<@m14#+GzcH*<lsDCWh$
z=4%2(;@3AfY`C&8K;kP@s8DXP$jwl{UltKE3&4DUjRz5O6j`g<*f5Wdjt=6=W!GH-
zuNA^TYN*}E@tkS#cMXk@=4Q|G?$|+t0R!9hE1(`XwBviroiDFEi!C>8r9J#P>Gs0W
zIa#!#-X#CGGz-Ux@fJl&s&G4-zx(U?Lhu)PzFRAMLCsxr_OiVGS=IXBmoI61Sa6cI
z2G-2fak+ldrZE7!-ttP`z-F_@@Ld6HQBjjXXIfj54`@GFpOhF5*nd1evp&BJ%qsSz
zL!*>VD{G2gi~<&)mV_qk^&5o04rIOo;s+fQbL?D@0Oi@UXTbJjxqjo?FFZL}GvWaF
zs?d{+k2wQ72r2IFlVKH_9H?Q81Y@IJ*EB{N?KR|7{(djbpO@c+vsjNojyuGPsgr{I
z$V_vPXC55uHSBMLNB^93?7)6G=9x-sHCQ!Le-__YU7lj~eluG9cZ8!y>C&Q88HDeJ
z^NVltn%%bZO}di3O+Y0C?x}E787AjD3rz-P1lir_JY(G3PyVk^q}o<%o~KtvF3cV5
z7bQqL9Ber>5kf}te(mOFC#`|eNIaYTpcR2D`=dBiw(ShOAPAcQtw2UYBi{O1u%cPh
z;b674G`$wM&;x3JEksW7gZY_EmbnH}i@dve5DKxBr4Tby-Iq1@Gyqor{=07wf*)Ge
zWJVZ>tf*TtNkiCxWi2$=?q3~&@z)0y{_HH~^uB6&cvsC~pN@L2GdxWl#wo8-4SzP&
zR96?_<m;R70zLr$nIUG+qq`x>UF--st&LPct=y#N3Rb|83+21S=U8?-qrUPF4W*=`
z3j$hyiupnXTF^w}{rfkYs~VuP0Id)Z5I~VG2L$;4-pJ#<!OF>zv^@zL8XA}<G<3}^
zXoo{uINySmE^1}C`-XombAJK;?c;X6xrJLdfffpkP&>FCS4%iw;fU?|L_K#j3%}U0
z8GyR|`Rc)6gB-C)b5<P3M8oMdzgFBSdoZ*bM@BMx&UKR&z|Pa$Yq8p$V1NI&9Q6lG
zAzF+uik{vV={0x3ojp%#_XoyKopPHQrO&_hF?eXUv?`*jl;Pf2=A|H^qEc{jURT_q
zyk_<e2tWcRIiFozxM2eE7`rU0BmVpu-Dd(}xu(9p+-Q_6ODYkm<^Qr^h6&by3*$W-
zU;*(GFlDGMzg{AL5f?W(u}(%W+E2G9bk>^DIy_)gLZVrnP{7kGuX{siw0#58y+6Gt
zx#wshT1rl@+R1fp?p6>Z<4m~JTz^EpCsb0cd&%RV??p@ZWp7xP?}&Vk=Xv>J-?GDF
z&;G)t=PN~n+*JYinB!zG2^hc0mn`pTyjnjY+Fc<Er#Jol^mAJFC?|c!E(~^(c1E5n
z*~Jw?WNlV0wS%W-^$fh5ugUz4rRHr=dUu{;V{41qVP6T_BLjy*@S=t9YN5Ts`Rp3>
z&y4I{@E*6o!W3vU)}1uKqY|ZLW%&TQs9diXv+3@T2L?ph5tB+e1%>d)$d2oib!X63
zGh1s*3FZ~iS~gxN<j+y`sCu+T@$wnGt40xr{E4!?z8PTvV&G8|mC87Yb(vZ!_SmLR
ztN0a3pf_P36@If@g_Vw4rTwyRh>L#HY>~k6Jyx4Ys$l1BnK^IO4rR7+*{zc_R^zLP
z?W{eoPznU#q`BABt03HDjOI#<2d1&St|)t>uuI?UK$`;^J)qt(v3#!VCY5nuc+x32
zfL7MmVLt-nEI{wkDVKSVri;R&1oM#sS{AUfgaiMVK|9T{0Q@l+TDG6DN6hc`7dSSh
zq?ST}E}`28g%AM=X${(z0Qh?|c@MBfX@UNJ-|5^#{Huu1{dFoJBsdMzF_H1HxFdsp
zu<F<?9^05wm6)OObY{soC>-j4U!_6CFOLkFW4Oh4Ikj3dzpmS(Vv9L*+43b~-m=Q*
zb55FIH7`z~Xmxxcb_*)b%#}?80FkX)&E#^ix4J8K76TIom$@^C+FyC)U`kO<+%%&=
za{roatw*b40S#vwAk5|_PH<7y>n`53G9oZawnv7o(-TBPh_~|HRk`Hkr*a{h&iQ=K
zX%If3TZMKD*k~~&lc=QG6)2p^nbu~gdUknVkSUY?td57Li9!OdUl!`GaiZn-sgfmg
zH#Y>JJ>AeAQpI(gmtb6gpHP&3Q2cvSC;uY)q3L8(%yE1i3{il97RD38P?+*LXWdK9
zrfJ)ByZ|f%0!I{KtUP>;XFG?ai@3c(tBNK=AW6sZir$)=;IWk{m0zI)vVJr<QISUb
zWdPU2T;G2U<cNy8DAmWyXAFjRdc1f8H;l2HWfk65#Er1+HFct-K0e*(2c|8OlOq@n
zEEPsTtG3abbcMN(@iDkE8aOLQ0(Yl`-4hK}*AJy(8XkBU>4ZN%5&pcLX)bngrH2o!
z4#(tIL!vPRfQgl`Ha~ws&6PvdCZ5$z%yOR%Ynwg_O5j%Cp*ub{uJGUL|6wmd8hAP8
zwq>9no}QH5^WtdzcQ_my<5gpLsdl6F%1ZYBMMIOJf-l4x4)*z4?X?oTBO1%~-Hm;4
zrlB`_qU<M06xB1NFM$Z;YDW^N>gfVO=!KIufj(b+e7l*+$WVQC$)YYM_lx-#R_O^C
z5Tw_0CwiUgDy5}!hYWOQ-?B%uvA(J#+{5VwpgnyU2F+?-xR=*o_x=ky0XOe>1&?g7
z5E6#KLYU6%7+a)-BMo*0`D=atWqE~>d3}Wu!o=-~(wf)#F-p5x_37|pd2CdD>0t4A
z>}-$$yXIq75YX{NMk%YcwT>~1bcn3iD@atzliVSmh~m~KzJ_-U%Zx)|ZBPc#l28Fd
z!0IPhFcJkJzFnj=Hz+a6Rry=ZFQKk|+q%QSQbn6jPD0YTnZN6uE$$qp#%09;XA`LB
zEnZXhc69N2ZMXksbHsu~gAF=S$BqUd?j<v3M7a!x#)oem;vjzvX?O=?3AQ9qkhX{N
zji<FnTx5;%Hv9*lbfx7jT$e?%-$Nyk*`*YBR4*sl)bL{lG^YmIO&kw0dAyB+bt3*a
zRuyk09-!pA-2?Q1IM?gPCnYmbMQoPmx`~$46F`}u56A3duxq7U`}fO_FN6DQ5Fq6L
z^H_Ho#Kg7+0~uEY0PNA%)d}dlwEk^k{4TGZlXLcW82hiCWCDHcGgT3%;F$T{URcm@
zRLK*qGR8lOMor$Ruyc|FUP+KMO1YlJ+2Y=)Nb)P#wSMds=@q~$u+aRzsrs!yXoC1M
zN*T6IC|%YB4<lkqKWvfMnit+EE{szMZ6;0=Cf!%+XMydqax{S(cP#uTYwYrYEv57b
zj+ItMq7z2powa0jyd>yYOBc=fyZd=U93EYevpCeTIJ;`8ZLyIV+Bqjt0y|zsmzh!(
zhxi>aXR~-mO6XA%Dr)n*t6GDsc1B*yL1i(_{4=$<h4DUwYd%1*mGBlSGR!`|jn-E(
zV<$P{5QmC(f*7wXfFBJcPKi2)8yWf&^kW;QZx!1Y_*@asF13RUfy&L>>UDY9<x24+
z)0;P7LfqP`e?qjv7+kv6L#yNcnNg@lO8?$`9h0cVOAOlQkpMLTK+l#3mErv{#v1Is
z*a_NqD2blhr=w#i%r16|@VtT_yn<|KGxu5$FOTOl7=ZeIf~x#Os#ze<kBv@$gAyql
z;6UL2v8V87!(*hEQ>@4ud5Z2z(2L9rH@^oA$OoZHMBySyNj)BbVVg7M&Gau;j)e3g
z#r;A~H&gYECPDMvtXQ_4wG`QfOZ1|xYJ|BZgJvhZ=~Qw>vDDtsq8B_9DBUq!_$n_h
z%=(8R0(%_g>^#|$ww*7pS$Nr@gxon2awfp}2`cM4&CK7kv3l3Tqv>hMy=x*N!Jfod
zwmC*WD%22FHeVFG)0|=X<Ec4jNA*-!Y*@koF{;<+#RCu(*Ei)pKR?cM73n-W3MehM
z>7LveeHX#7vOA;g=HUcfg+3#LjZ}e{-q{w)<8ZPbqOOM<1#Mog#uHd}qQ83e+FL4L
z|D;ujh>BWY&W%V@jW3GuHoMX|$@K1G_4ir#he}5p!1ICb<tJ5l9hv6>3s!7+?<m7n
zl?U4%;DJHL!r!IP+UkXmLCLEbx*-a3Y>x{8ra=curSuK=z#*e0-<=|*cbdII0bQ^n
zFpUgWSQyTLcuDBTlrPEd67a!*#->q<zP(*1o24UqkH=ka>kfFh5*ph0dXM{;5tB$Q
zIoC>$mb;m}JPz1<wjpKJ*Bd(fX8Vi`o9p(3v+7D6MQvn<ubKV&T{0_rYvZxj($_D<
zu&f+y*JE#xZ!G3fVJ2vBilyUPHZ=I0&(_4gKAgr=bes1xYN>iWgV9vC<!a@xbLgK@
zn9?JC-&_~xFNVm=b;UvF0A@LPZ=XI^StA1Qdr)({+iK5;7_6;9=oKHjynwUv&_OG3
z;E{g1b=75hS+f5PSKwggcf86Vc>PtgY|YC}5!2B{T9-+UL^QPBhgKD{wLl8+<I%}<
zQ90H=1B`ep;UVIEx+BZ`N^vXV%|ynKrEY5%$q`-Du{an^*%bs_HvU`Mrq(36&r-pn
z69dgFbBj0rd@wU^tf38gyAk}!mG#<e7iTUVjy>tMmmm03d0@&N4U^85&E5F|QHe}u
zj%J3_%Htai88_|i)g~251Q15QYs}UlgyA9$<=H+SyyuRZ81WGa<3U1-e{h489&i^%
zD|t4D1WX#(sW|Gu-ani9vwY7-(tH&eRy2-%*3PzfV&e!&Vkc6@7OXIn5aWMY$rgkf
z@w+b(jHOLmv}a*Gr!%pzLn5fNQj8z$zT|UWt11tiNZ#(97~|U_ohR9xw!h_YuhV9!
z#6_+)eD&`(b#I3%K}(rM5Mizz_6a5MgmK6oXK#3^ps2aL#xEk#ZpcrPcofXENXlGo
z7h2g}b!Wu0{E*nEs9L3ae7<pdtpSY|@7<alSpdyD-GK@WJFc;y;ll7hvtLoWboN?8
z;HFvsEq7nr{lN<(_b*qW&>w*X7HIV>Ds(VTwe{6Cp;Gh5%E7Z^Z)4}ePtamj>qL)q
z=S}Gnj~=Bu0nTT5r6Jhpj!*p7vj%w-W2rA85Y~yxIehGU2PxFZY;m-Y28QgsY0%>^
zeR6GY_1Q-Yd3oPW6I#y%j>$1TAJTb`d&AMFh6*b&Ay>bj>;HmoPF38D@*l}?enAx~
zPGHORxqe<=>BYyRk`V)eBYU&@QJqyQWoPK8u;C&rciUW{T0WA5F5jIb3oGhWC@IA`
z`f)Z2G~UNId%pcV@4{ot@P-~c!5{i2=odWEe>^S%kc!Xw1tdK39Sklhr*~z9!{Xz^
z44+0qxZ9ZF(&1skG<lPDvpYODtD>m$V@xN^y?e`N<q#1+2L(Ajt&_)HA6%r=Tx=Zs
zrt0*1vVT{oDbx4M9eyNd@@u>uKM6r~*RV)eH*=;V4L}QbOgR$l_PyHSY*%_kuXp46
zdES|d$Z??Z-XOpyxn;<AyH{DWR7Sh_baz?FFJoCY<jT`%5O|WnNlRC4;*_i%|EUVu
z$3`*@GV2}8c2qKoV8;~nyJT^Ps8m=G97+v><??ar6pMHxb{Th!oGNU!l!>nCOo5$b
z@cqbq{HIZ1%Ouy(U?o<*cMbY;VRluyY@!GV+9cM8P4D?{XWBZZGcJsY=%3d>vS+ag
zrRl^MocQ7k<)>-$m`*numYw#(#TvLz+={lx1Jk4A&k>Q|&n<_p5s-%tB~9nqI<OB9
zX!bPBTdYj_uh-n%B?HfNYP<0rWv+`PiuuP{eXgSerE$Ia?H;GGUu`=$=psig-vk>8
zMO@&Yj-S1(9K7P^!2_H56-r>LqZU=;^LD?B3(-QEljDHd0p5oC!D7dSl4E>}Bd#z|
z0y&v3^s*_O?EPtUE3u`ooQhBlUl^zLqPz>WC^NqfCAFEDx!9s%hnzLWJ9E3UR%gE2
z$kwMX&ZOZ6hA?SDk&{!_vk*<&tCgQ$zldw82|AkW?I~Mx21-v^>J0u#FbLhlnHo`c
z>$*&YHp41NsC>Q_n{U5p3dZVqR$*Zw$uD5ts9sn{(o*bt74gu?vB08-4qGoAj*0p8
z&uC9feAVgFu6^XxRMl-lV(;Ua%w<d@Gb=kmV|Fxi-4tQ)L9deK>NGiu#D@cF0q3Me
z9&!ee;*0$fUbKtXeb?I^sP!Z*=6vwS3oWI<J%Sy3>zi4g{<kk2hes@t$U5OQZjXwQ
z@q2MZ0R0_6gD038YIs9|m{`BZXOff{)w{Xq`sa|eJL|L^sKbmw#6XqREj<Pe9#Cw@
zu%fwMWiTbjV!ww`?=Z=|ux_d@A^qIxpise(hy+ilFf++fp^)ogXmCbespEkKk}z4S
z-rA2GbG$hjb9Q=Ny3o9e2V_44n_JwEU<L`sz|HJkPach-q4HZE3FH~KNw0%ALkTgG
zI~wsBWrd!iGQlN$ZvR&8(F2FZi67`mudPTF>J#SyPc_!yQ_0A;$m(XZBnPth)7=%s
zg?clCi1p|V5*;y%_9n0PH1)C+7yWgeEQg~`q27oZ>%qJKxhMA3qs>m!h%VUU`6XC7
zey8n(;n*em=ZOmag#8LhXSGA#zFoo3{`|Q&Y^M+pB4&x3;NT4chxfBL{BKggAgZJ(
z1Jd`!d2#;!{ze?RrFLU6uM!5a@;whm_S|c1)qORNk~D<Cj&XC;f}UbpWy;Pr7sYhV
z`wSGF??%;0TUztVPzSg6L55Kky)nv|llogQHWL8e3=#n9XHOkBiJjw#%59VtLq#-+
zuq_(2z}HuCe^)O#<j8H1AFN^7)UQgb;Mj8kQ+KmN=xG5CThw|BR~OwKBvuQP$2gCr
z9Y<V-VfDhTh8`d1;BwSNUIE%^rOvK3H5dxJW8I#iwJ4N87^lxFR8-<3IbbfP90xl)
zi?Rx9PhlQ+zNl$h>jK}M$^+;4>|pOg_ZcL)dlJ#z$+}$-01A|N*=Q|yGwF2)nJ)(q
z%Rx>Jn0T4z8N<r90Qi?RE7JL@L}RAN9lRHgkvIOA-JxI%!+YC~U#%QfI+*9`iX;u#
z3vHyi5iGS7vc`W<iTC{T_Gw1dwfhQ(@@{R!28`?D=<2PD6aVvTm-YFBdyT!8XQnQ~
zXzsn^I&RPf?%`MB4Cp6>NWZfzqHnYA(oMdpS;;tKxp2QE7^re7@+Z!+!;X3Xa?%)o
zkB*mH2cMwwJ_l4KAbtK+e6f*7;{NZ9Pzq~K1mM-qW7)S_Og+>|<A$eZ{riK`TsOzX
zC?YEQbVVhqMOau6j~i;;a7YW3mo28HP*7G6TVY@0<M<c*!V9yBL=*9LxaLoPS5S2v
zd&Il^y0IL?ni%P{IL)FIV_UJvj5Hd~0V&#=N`iH&7)J0=`-Av{P0dBtKP%`0rJ1sU
z?U4R3o##?nvhn`WSnT_spUp*Ty&3tpww9rRwN8f+Z*Mso;{ME@l78d+CYlJ7^4KPf
z)vpJM;xbm>e1jAuzlyK;5*BU!+W2fko3C8+^ajkrARNDAx{4<BJK=F=XdMlp@mMGg
zBz4?RtLd5<03u>e2d&G)uY&Gw_>1a~p~|dBMw0ECw{U3Ec5z#zJHPkNB`<LXd6ooI
z6+cpaN&?;z)?CoBqm1n4ovT)1@(M%Op#tlW#DnVd=O6t-L#8PuTR>uExW%Zq8?$^o
zQs5kPcg<pOxFA##8p6StWH)9#e~JvvLwUK598sghig8mLV(=I`4XV!uoYTRZNSH{?
zV>Ss5=Dk3CW$KW;)LnH%L%Uz1mN<EWi!_WDiI>L>%=ZmffCNn$D3<U&1%5Ty&k%<=
zG%gLo-mVwg8|qJC09kLkb^YS%%FQy~cYWqj4zeH&Yo>!ZAwOGvaGtvye<*$QI7f|8
zT<YxIJ#fG!-E;5|bL$gJ7TrD1fERs!tm-gr!Zbz#UBODK<b3tmZ(dHmMwm5&Y$_UP
zSMxZzu6^c}n6FMDNFE_Ja#A}r1VsoP_sFsD@O1|X^n0p~_bpKxb2La8pSl-DAGz!>
zl{xr(1$>iu(-uh>j+O!o2$S_TBkNV|7kqi9bsRZs(p)V?gcF>2_jj^ZD^r0>TYjvg
zUa_5+fDkA*+uJ4EFRaNUL)K*UWNu&Q<*=XhryYEKoh)Ler&X^mnr%<X-a`6=_+}8z
z@`#FR1ISr3yuB+_QQyvqmzG9Lik^Kr!u=E(`jaRYe%u7@oTSfru`apdA%aOZN1&=<
zc&O}ol4^BIF9e`XKU_rjqG1TIUJrY@OEq{bw~rhfF15S++RECvtY7wfJe1w+&6*e1
zErEEfu~_pL0vEE`tXr(5uFamAr2^+;M?Nth;}w<3TYg!skT@RY9$o97eH*$~H?w+w
zbc~d_Uh|4NM`d;Ji9u(r2RnRy{%BM<Lu2`R59HbgSG@vNe0|c(`w&6Scta1>miu`N
zow*f%wdP|Ua8z(JHF=yPhj1FZ77Gk;G0zt~Eibuuv)NZ#!#utJ*v9PLsOOiHl0t@{
zQ%SQ{rIKGcq*z!!#l4KGN=rOvQmK+}eqbf%PFz_zm1qA;1q0r%2N#~EC!CtaJK-wy
zi%DDwmPHHX?q*}$=7{Tx|LUEOukA3GqQ2+FOuD8FL6uuoW@_o&S#7|;D$*Ijp0g@1
z-|~SE<8&iE6Q<ZpuD^@3q>Ban+69(B&cn&vun2!z>M~B(Y*T(eGBUyJs=E3WT1%UD
zCR>XNsr`s358I>HGA)qY?rIBfdO$?c=4ntHDW9jgU39+VAp4BoMpVUzr}n1i;+n~2
zzWyWKhtEGV686GWBA+z4L%^S<6z(dKtZk~QHvhX`KacyIPxhXTSiYJ^9c($MFz5DG
z!Xmv`X3{|>R_ZVa!!@DDL3hD<^8}S_7^`bD9FbLpp-n&NOEChH=~045hf|4fx$08$
zGl_}5ehy>u8IZXlU9xlqQso$SQ`RCWGWcudn%4FKj3hGA3brbk<nHdiznWHL>pmjG
z7X?Yt2TZ+{Xmx)pf2StF#Ol99=nrTgs)u}6$c(c>j=OQpnCkkrxw)x*y3vd7{~0~7
z6Y4V)5NPU&<NyXHz^t@-!GB<5>zpao{S%exHc!jLLkRQ1a*5aOXi0q&KQ}k`i*$^@
z7u&TC|CJLb@VmzCrVOqKi4&6`u*~L$(2y+0c@bOCuPjtL5f-f_yRqU5UQ9xtfwk>+
zslBx6%IcMzt!XinhMf_7?pGiCQ9M?ghPnzijMT)Q=bD{ra`UQLD6m9}*arp-tR~U6
zHmMmhzceko*QV!7zYGj3%vHBBA`spNb$r1?i<HRZd^lz&V<t@r{)x^@f_5-Jqn%P1
zBeEVl$&V1o>!a)E&cPY4^mBOp(Q4nHfpH~1i3P)G@|j~`xiu3HV%DwTfRO-<0DKc7
z3+$vmnO>RC;;scv;l($}B;MEH7pMCzD-A6zlWx~5K!(DDc@2f7LzKyGzb5k)+vny8
zAj8Ssfa^H!qb+{J%d7T1i+g8xJX<<gEIc=t8fInQvbnP>_!Rz1Ma9HoLDo)?z~#!S
z{fjhO0S~E$<8L^s+-u5ycIFQsOFy&iv9mkX^(4l*dvE9E8ykONq;C5F2|+);31dBr
zNn~JQLf1;D=YV;0A;v$HwP<|Ggtp}0*~(LDk2euk5l&Wfs4{N`frUY{H5IO}G`PXh
zXS@7{D;KHV9^7pGW|N|<?{TN%!xTqLNGs#pmONPgLv|8HA<K1tITpV5(wAsf)tty;
z!l7Ym=Ln=Op}&iN$BTp%N_DeeDs3>ml2OKqR$mVG>pq=L5^Q?bw9ka|sBq|1+~2R{
zA;i@jCLT{&TAUT-O~b^5K`E8cQfWF3TIb+lW*VGXe9%ZkfRR#r>!*t)H*M{=z&i*J
za47_!v+DTbq7x9~D?2;>{V|N`U<d{b3?(Hc%#Zl^TaM7~_11x}P1~8Z&VyIC@np?8
z*f1+^OkhdjT|W!-jm(rL6LW07G4WCjwUzIi37mt08AA$Wb<hxuYmdvZof)%a<v&Ii
z?3rXy^KIv12oIausIQ^DW;jHe*0$PR&)$=IP|dBtd}?fhhrqkPc&16psN`z2@32th
zIyk<kY+k48dF<>)BvzmGB?~4+P{Ci`+V|MC`AH`w5l`)Ffpzn{Y-L^7XocGy&_4AB
zHxQ>68wL>SUc->}KAa2E$DAB0xkuB1Fwhp4keG;pfsrbsp)LalBbbT~^G!zPIXpZ(
z=+lE24I#>9*#d+cHVzJT<8B*%yJ9*k4{@y$*(VbXewdbdjfa)1-3zz1^0LW8%Fl|#
zjmh2%r!oy&OTl~J5R5Nq^rCtgVutgGcSo3?26xWRkAK-y!nE`T;YU5hZoaIEWh8Z+
zURJOtF5k)k?}vp2i~T8Xthl%s4H+3(&%j_xNpum0SyffF(jHu<wqbT%UXc<V986?X
z)GFvL{g}+}etg=`I2|kJ{&)lVz``QikmuTF65+;37-B#+P<sAr(0*{Si8G4q=+HB_
z+_#Tk7Z&zKZNDo-YO$`c)E0A$=$z%n_2HU4{_dWxb$!#waEd>Uw~>TK2-hp8Q%_wD
z1BRX<1$VvJB3t&-U!&uqnD24(JQ>V&{<tmJWwY<{sKiNlVdeoxdugVg`Yc76@LiqA
zxfaOT32?c}HRE7qeF3AStegsLyOe-<A?s`GFZ;czNtXs->X%+p^6kV0O!G)&QVXgJ
zJ`E6WV9OMk;9FvB$)&ewu76RztS(b*npeeg$}RprYI}Y6*L2+j%ipl!_0{#(PajxV
zKM$mTy>|~aXb+1vG?Zf%e}~zyG+uq!<{c*DS}3HbL_i=!6OjsH&m+5eEoyEnQP75v
zV*pM6w>$$1QW(9cUe{Hkph}j3>?Q(MACuWKePBlDQmDVMu%KmVnEf|cQIaN#jFC~=
zyciQ^W_I>dnn9Sof<p8hcWrHLfVI3m@YrerT%##HIW`hbHS$xTE)U_o<CZ`^FV9@S
zGnn*Wb#IGHuu<6!I8PUOgJ#YIHX`rOzUg$5Im)A`ZZOo>yf`8e@DEP+(Y+Y?<W!lD
z2lmLw<Ph%Amd*xtjMh#vO1z+?AHyt;J*?%6+x5yKjcd&z`=a)@8IwEjs@iOpA7Or2
z>XMhFm|7MbBexawI9b4&zQJ<8InuZ9CzGQs%=<>u9|iYbZfa_(q^hc@Tn%(9gV`zQ
zI5;mgHE%S5Dj_wjR}TRJ;hSpr^fVqETwg!>J4(uRaK?avDst3MU^Y)nR~H<M;ZOlf
z5+R30%hFQQkPRCX6J|@kmx*Fpq5S{p>?@<9?80`35CM@C7?2PUL^=eKX6Qz`yBq12
z?h<Kf5a~|o8YKm3q$Q=hIeXskTW6i$=a;VGSu@Yx``&l#ecjjfyzfCLT;9;cxa_l%
z=j=}hZ;IC0L!3i{pRYZtY$zAePbEhiVz+EfVs<~_@5Z(SFsD?!XsoNl(}0EB&v;Og
zaeAM3=Cuc0E>X#RLmzv|x5hm~^alGY8tjW-YT#3L;<4#m@)n)h9++Vyzx19gG@*ZN
zfJsPEQ4#dGKC87D?MLWnXlX?N!41RiV2sGFzu+Pq%H#OLZEx<8zrTNKTAI=A<q_oX
zS~fmD{vqgwrD9`KDt@(dzBf<L!qR_tb5ZTQsUY4x)$DA6j*5JHdoqfPj(T`>gajeu
zbwQtRbby0LpZf}oVOVY5&82YdA8f3II|z9_rNr8elfJ=bXt=Q23{;k;ZO7IiS2dtK
z(wfzDytK^U!Ot5sh1^R?^_J?j;Y~CMz__a9AXKPT+;6%b(At3LjX6)YAF)H$0}ABO
z>aW%<w+kkbHx_&#qr;KR>@G=ay-iWViz}}2%@hGc(t707RPOcC!+jWHq=02^`Q!@9
z=f>22e{Iuu4_dLoy5*myWhEyuY9K>ON=ks-M7Ub1`fL1rYtR7Q4H~%#g)|O2+z%*p
z_4JS+*?!lr_m?_we0_ZZnhSg%3iPf0mj)I>cIoYK*`LCr*s)vY4pFJmOz3B4%bQ!_
zcGG!>O$DA_i7m79MxPWlKpY4Wul<r3-+z62`mS|#@)70rqxUfJa5S**Ob(VYEFH`v
zIw%W`6=tZUvII4byhdnDlZa@3jFgJgs*;!;YaLLd&_MrTOvL8baB-+G3=)>psuB?q
z)w8T_@9bdqr;a!5u*-e@`ZblqEOO3kb0o9$3?U8G10+XCiOSG?s#egk{rMgn#E=Fc
zEjdVr)M4sBfAjs1zusJ=IP~8_q1LFhlu43IA^LY`9F&EHU&G@R?9J&qqcQQDF(JRu
zy&ua9KdvTZF)uJypK<thIW1b^AKnp|bl;UaUf~esX?cA22~M9VV_3lYu}DitY<)rP
z_1fzXsF0V0T)TL(>0j^8R<jA>PGk?geW<_mntRkUzLg%X?$vQL`2K#|bv^gm>TB>;
zAdcby@rAB<Ts~F7*ieYX44(%zZ<@}Uu>^y8=>6C8Bcb`kJf-()5z;KaJmED?1!b5k
z?|wo)Qk|FBSk00|t}wfyLB0&iSWeB{$KW$Oy<YAm`K+dH+}C-p8wQh#idRvNw3)R!
ztf>l-ea=3;f;+yNih)(_{tMM3RcGx$lIxYq<cMj1x3VQBrL#uaDMeJNs8Em0LG>{H
zKXf=n6YnV}+5UxF(9WID0l%qSXhN*OufdWa<L~hf9|`p<g|jQeYSWy)RD8m=JW5_V
zkzz<R>Irf5VXG2?1wLM0<22F@6AK^lemIu?Lcv9leL)&2U3B40j!nfpFxQ!TSXUJg
z&HhYgpo&-6*WsWz>^09B+oR_MaVDujp!Ez3-e!DtEHREIsB!Y>pMpo*9i(q`Pi~!a
z&f+^xZz;=z9Ce1LXQ{G)poik<bX8&Srzi>|m2m^j)py7SR|-96t*U=zBgYp05Ke_s
z7Z7b4%HOV_k*hqX&mFHKPZ&#GKM0Eu)T`b$M#UW9I$@K6X_wB2G)uAk5MkxB&_s`k
z*LdIWDivG@HO|F@Ty>Aq=n2>`rKl^1tKg_8y<`@Lt%$m?J1Y;x@_izjt#Zbcd)7Fc
zwQg#R@k(<_b98N6vnVtR2XelE1K(SflXKe(Vlh`>o8S~y_oQ<B^DZp=Agk1AY;;2m
zBMD7S$j^MTf9>+RN8?EEm!llNU-%kucy`w$$UZLoST}Sr@Ev>6qbW-Gi~7y`!G!o^
z!|r0=rwrMdcA-gln@97%UOTea_ao{T#<H8AFGhKj{m9|t&)fZUKPK_j3_NjKzAr?Z
ze)Q3%+1-&@!`%Y)H<W=nJkmeBmoM$`<bwq9d<!v*_OB;#+Bv#ah&Xg&j6C%E)SZHA
zl!KVm$oF7HbIF?rt-)^T@0#AIXE3$&JE(~!v9AaU-qi4-6qW@6<E_gL6N4#N+|l^U
zJM(*%++Z2mWPeZ8Xrv5@xMkjFFzsM2BjTLVO_QsS#Ld_txS7VrFFJYL9ip8tLW`PX
zBx0Li(~*HPK*Vl=3ltTmp9wo3dT%cC@fvSPqbm2QzR&R+)Mo9y`;@2=t+Eo~$n_S!
z#lp2TO&9zlv(@!^Gi@OhK2}2$yp{ex8FlID9R7UMD~H?p^8$KMY@{v}7D>bwMNJ4$
zYGwcv$m7yc%!4uXNd}=!=%wNYGN-VJeyfZV*YkEJ$D}G>tiF*3zBm9Bn$x*;n4gub
z62usKzDD6$(mY!Y%JI_;6Ad2$in(aC_!#DH_HF)L1bK{tZEi$Zoz!tFx?$rCO0YsR
zA>9Zu1t(CexP=wxY=rUQ!~VL7ONhQ?>n*@u0J9LUUM{R0n+hj6eD<yzW;o!=!%RV|
zs%`G97dn}7A4m}wRxZ**D9eZoo0z}6pjB0st}eKFg4o)n7a%A=I*oS<tvO`ArFTtc
zTsZyH=SFU6>0U@ne*dC?n*-9Z6cbjT@H#NV3JsrXwDjM*xWlGZj6mDAChWq#{NR$b
z){Yf)=tnhKi4S1Nya$Ok7D}{<D?M2v|NTPa&Eg~U(^K}o`gQ&{TEy>RlX4s%B5_Hb
zo+zAeK)1&d{yCzLSrsb31~pA+Z820({T$4SRB6M*J$O?!<4-mQ6{1#S^tsj&rS0!x
zWvmDVNjTy`>N{qIu<J|7)K-mYcluLKOW0$oxlh29^NW90JxlL?q!*uQ2euwFKCSAo
z6m^mj+#!XE<4rH$U9nA4{M_H<WNHp(@=Uw373#079<aJ%FN_dEKbMTQYVcd;LJxkA
zfHkD9Ory}%MI%$yYdft15G_ce$RuG>|I}Z+h7ZF@wydolKgq?LUa6D%tmL%3(4iob
zJqqtn33WnD#h$&s;3sE_o~34H-=73|W~J1kND#(5OHCOQC0JiTaFDy>jUP5zokQ41
zTW9Tz$awAGFPM*TI(PI%n-HtY%<+m`%d8K&F&FVqN&BVDH=g7BP#OrBYW-Cne3*-l
z>NQOPA(2tM%46v9Su=K6y!syevJ`h5A2SAqK`1$1i|KT4jj2n{{7WbY1^Df}--0*-
zIKG0}Q-#!GgAKG2d95;$(w~*MptP!F*Or3@@iJx}?$}S8XbZTDl=qjNv@rUcy?>_=
zQE9s|abYBPb8p%254h4ZWBR_G%r*HVT28J*onSn@!pO$S)%~fxt=^3SrX3{zwufrs
zH$1Q6G=-CDPPHu<SzxKsh(5QZ=k4^=>fiIXM^`oP5BI-a5oR>rkp^_XGD{^`er)1P
zN(qyacY7t7uc;g`&3A*C!*cC_0<wq@D`43$Tf-q>*&x+)MPG2oQ!d70J$Hd$WGle7
zDne%JjLEJq8>VO82|nDvJiYR<g^K$>#Z}HAmws<agKI1U-~Z1V&(+4+A)WY&UiY@X
z?_p|Tl}nd+Yr{oGdB1hZ=3KBs(jEan)=zxU8h!Ge*l2z{g{>lneeTw+er&VJaSvOW
zV$(S1`*YplzVs(q@#<niq92F-^+ZBcBl{M8x18PtTaIn(g#2J(6p1e<uBjacADw}t
zC4qIp0l2%Yo3YIIE2!N$<t^C<NZLisui_%U<oi>!SdHDDth3*2W~z$ls82gw8<!8?
zLptA@Y*iw`tf^5By>+R}<m7Pwh&Z?P2IHy;^%?{yDN@$*Ui{_#Oca1$B0<l{0?$(P
z@B5b(#oq0R-_TnB)ZIjRW!Es^D$zh}rXqyr@=UIky_!|*Yv>v8#zL!4@M3#Zth)MX
zRA9WekJ~v}0SCz<<stQSF79}V8fz|FQLPYgSm?ks5>&NAgxcQ)T=^ZW_DMgl{_y+#
zA1S%8q~_OO+jrwS{L<rSmWKQIYJ*k`RlHNSKheOcl71e(6KIT%Cq*PiZN9_`#+;{B
zZp*x6Fzx!aV&D)tL=-a`bi?vaJfhkAU2$8!efx$Elnl4x#(r&*yxD;Ypm~`Lt>SH6
z8(Tmd*^y1K6ptgFxUTTd$(kc|E@}wPo}MruK`KW*@Kor|B-GWZ=x*;BDTs)y{(7NX
z$uq^o;8h!9e>$#Zzui*!uav35C8hdss}nvv+`0RMSvO3DRgIRgNzfhz(5F!0N2Kqy
zzEL!Ys>qJ%JFBgRKrZ$xJkIvU4xdjvMM2@CZgPM1IawAr5g>@+m1`T#^HrePsEP_?
zxD5^F=$SXXn1hVCSzeSvy3L`NWn?U@VYrzII@*yx!nU`z|AxES4LKc13r<tvjWevP
zeO}pE!*Z#u37hGJK1wRo4J)Yq7FL3mzLi@NVR>&TM=?p@dpp-N_vaZ1V`^#~hgbZN
z&i1<$r+pZ{z852|uddz;ZVuEqxM+k};Ey`V8A6hnlM7`oQUWUGn9^owk%b~WsVpqj
z(V7yGsaaoX@vScZ`pJ`k7ZeY&esYD(Z(%#{J|(CGpUsaL-!;_YrjZ)2N*TzJZa)?f
z@V!0$r*>O+#}6_5nGK*syW)0iZ*yJ+@-?mWxv^|*ZeT{JMm7!E?tXV7=zzca;Q21t
zk(#Rm5^*(q*ytJvQeIC&Gmx%Hl|D;LjNPrl$ErJnp}Pp>u40}kP3BMusM_)IcDg%i
zxa^Kmkoznw?{1?D_zLV^I#Qlj2&z_|RExA<o*XJ4dhkb+)`CqgXZKD;MKqdnn&9rn
zySr<V%tsI>nw<^p8F32DsV=hH9yVOQgCVJfhM&*)_cuJ5dAb9Ea7LWpJA^b;EnjUk
z7!f6pf?!jK=Ozv!Wh|ePQxx)<aemP*!ynpq(bJ4wq^^6WG{z+K)MGoQOY`td4l8Ss
za<4Trx2SS@*#sO4yX%M=Sz3PViwd34tY~T?n|HsD$!^FDlcQ5?VPGhLKoWkSv&J3w
zb=^HVJjy}BC1GIoNmW-0UNT-g(y`_L5GhMa23}?Z6es-jEW%X?Z(ZDziEB5T42_5^
zk&&~SPWh+gLPV=d8c%uw=_nHl9Hn#U2AkQ@Yx+upd~@sQ`HumH-d|mdfE1~?`b%Nq
z>qTF0)YG%G!}b0Sw%bBhJbqJV!G~4Fzr>$~731Q53bfEzulNLyX2&R^;RNSP1*b;K
zwR+z^TNLoabU!&J^==N{`aGFn^lS5^dR!<Raga1QV&31SJcG6{tk;Y!{^~uf5Xs-}
zNnhN-uEb1xlt=0<y4=*^_itVn`8n>~n5FvqPe5J~M>N$+G&#fW$HsyGf@6mwmOSpg
zt&lG-MPiY?xRcX6$crm=w7IP(Y(I+_M~1!0r<YR0C~w1F(5qn?2`+5YGH3gRLUJ_@
z)|{j<`dd6jg+U1;X45Xii-u<Sz6j*~d5Iv&VwcuX#=UW;ZaLi#X3?8qEto1&l!ORd
zY6cFpA0Nx;Mm9Z#NJ;<f{_*}f+eHjHI^QeGCc&JJSALiFXsvC3;pa8AWBq2h<7Msb
z9wabdU#6Y;48)M@F&ShNG*d%I%<ZVS**18|GDR_xu&-Ti(SDd>F)mUT){Op;`q&Ul
z1o`;)uU!3EqJtR(!rL^D3{keXFq*WGJUpI}PknR7ckB5^oBiI}Q%R_o)%(fKs~C_}
zX3aH`!RqV}Vlq6G-v?N=3;sXx$2bnp^|R0YFM0)X)p)(|j)u&>AMb+LtP5~r$zs%Z
zYisW|kGN)MAIkFVZEQk)y%zzCO;l9UKy__RWYt+1+vSBzP<c5?i7Cg{$<?9VKZwvP
z$ue?5=<9cJPV_8D58o+JBINFDd#<f5jA8{VSPpAy15z@X=XA7%L3$GUWaW~3)jBa&
zFN39lJ9WDBl^5^3ycnhM-BtYHh2|*4@kynstCzs=N82mE*y#R1VlN}>SCqR7u@&Eu
zsS3J`F)5av`Up_xJ=gMQf^@_3RlbFR&grZNf`NgTsc+pOm!qw+{rwNoc&`~#zD+PP
zCcfY}rho_=4BLuU&p>rL($MCMBD8jg!@{FvQA{8vSXZ93Tb5=aIB4gRe`-Q_-kOmL
zTK}u$FsW*%yK)i#k%I(k?MInq<vF9%_mcLOMc9|FJE&METj8hOuXqwaJdS3+g-<_*
zo6ChnX`ZD;zCo#3zqvL>WhhW)+POwXL^TF8iwr8hd8{S4I4q|q?!9^!@VqL(xZZQ5
zVJ+R^Vv33)5wVhKA9#g?nDICsVnRFvPaR~5aY7OkX|wnfaC9F$-FcFk=A&=~`O(v&
zySo3NIxo!xaM?VF!Hjur?Zi?!t{#aoe~F7au~^9$5vd}sFLvjD{jT})NakfS*}K>-
zq5a+ir;@eyH$VF)Pz|sskx>K$d>mJ?`u7*Z#3f^CF5#IxWGU!2Dg?G3R!uSj=}5E3
zKOtn1@*k5DFhY4;{|lhy+4vQ?c`}i+nRj5D7J>4hCzc|KHJ{B^QzN|Z80lkS;lrs6
z$>c8^Q`479ub)6zMv}KqV3Mk8KM$9UD#qIxH4avLi#4~lkJzn@Unpcoz`Ogr*-S6J
zS}*RAZha2~#b8ulPq#v!oS3i9b$iZSj<b1amM*IMOtHRQt2+O)bjit10(=P7?_=JY
z-*;Y}nuZ^viZ7gA(5YAJ^+VOOc%$-;Ke#woi7vUZXvYLOnz(LxN||x^EKADL<L1f3
zl@kq3OkuM0{6Y8(<c&MELY<pOhhqcmkdI}%us*@(&(9b;wRHx)<2h<ElNvNev7@6D
zMa>F#WOj0Mj~DYh_4j}MzS+!oI-3({^*eNTS-5=Kf7?n7PqYV(2ohdy-DA^5)aE}k
zE}i}iZtbo931*y(?joN<f!xbUDbH$XYem#H9t;e+x;RWVNuAKA$T(daVSbStUbfi#
z;mQ+Sr;SL{f8k?}<^{`yZD+>7#y5oUD6>!<DjN=2d;`aoF~-N&8w+?{YgBY9RV2M3
z!ZMM^Ou`rE$6EeB8?Cd+>9eIRE9yqC<Q{z)Rn2i6Me%7qbZ_O@VU$a2AoQn*k+>qj
zxc=U3JRMvurFl$*{gg6nTWycf6+Hc>9gnnA%n+jS#Pd%ziI(+XulYcudqeIzwRUN|
z5UdO0GiSmEj?;e?)fc0WHMK@^{23a~p?#Jmf}sY2PZMjGDb~S(9u}m@<A@0I!cy2G
zsfItRH4FoCkKIvNH@c{RCG6?8Tq`3>OV5%JS6<_--M~#k5;D`Y{Zc=(>XAvmT{p-z
zjxLV~JiP1sA}=IYP9xk8@7#YM4M2s^(~a0#);LFPy;M)de1{Yp`64n7t`rJ@?o86!
zPS6{V8O@&I?$&)wa5#Q-n%<fcnXD9_9~>#FcjMY`H7oKZc~bDK?!|Z9S8l;wQ+=c~
zVeW8;4#~VSIb@+FHz<2qhO!ojrFL^r>et%|#tjBs`9++lgOfwpW$OCs7!Wpgs~Lkc
zaq;y_r}=ksY3Bl=F}L_j54e#x7nD8anNNv^a3uct6R)1`Zfoz6aNr4YqSVwV+og>c
z&C5TUuo+ADbzFS|F`QIN4-pG*5ZfrAx!A_X44%pzM|aP5)4UvJ>Ki@ZTW?&I7$OPQ
zr|}`27xFSAKjwJyOz0&0d`^n7&^62CcPl0Cn`)fJRN~;ZSN6+MXYi`kyD`lM7ij3y
zf02QK%8=uES5MDA&9f^!d0p*%sh7%RJRXFPvGpHi<6vQ)_vc6p0)HGLtl0j!$JSp+
zGb45RW^g)QOLs`CtiZL!Kq)+Um+Z3MHMp>vy+-MT5-&Kuf8P1Pf$5wq09;@iF5NkT
z{?BJ;N>(4Mf1qcz@iOQe+g$CveEy2Da1RZJQs@QpDsYX~5H{tBohBDbxwP<<h6ahK
zjSF>?^`*(Zj?h~7($A_!f}YVva!5{H9dhlaJv?9X5d)mwoA=*nRWes0R?J`a<j<BH
z#PM=yU-${59u$^Baz&@9cDzb%`MtbScjn3cN3%nIcsd_tE*YMFU#OdRq$M03`uK)T
zNvHpE``j4gF3@gIJ&XSd#YZ(!G{nh3`PAagO1!Exd!Zhv=vT<V06K?HFrdBu^<8H^
zk6lHzq~E#us&-78$N6~USC*5-t@N}Q-Hbdzgm%g7TkPfRr17Z8frN*;#+@bL9LB2i
z^<rvKVqzY#aj~O9Oz&($bH4uNPmVL1Yum)9&fj0DKSJ7CS&LlG89~S1iN=?vtq_#!
ziM4qj?(wTiZQ%dCK2)vDO;Z2nM@C{LV9ddBl#_!ivTx58J0V$Ix1VJQlj_MFj_gso
zvEQO|laT8|0SgeV?)?pDB_RZ-!o{e=`;3Rayd&sy{j>O*l@*@h(2gN1E1R00ZVXge
zehdsKzji)c7TH~Fd+yMBga&%+3O;;s-W<u5jHAHC3~_XKhXchbE>A0YI<{w>rE!n3
zeO<Axv>u&RG<pr=ff69thv#e8CKG*pC4_=(f@DO2h~cKx;&F14^dX!4O_UBDt;O=1
zB96%^qrr;M?{;|g8asXYXG7r|w;6#WHAGh8{i-c8fr9*>YpZbtYO&`P1mfVWQ*YL~
z_ji7+wuZ|YPprt7$cw_u2OPi@RI3JC4)*uvLo6Lz)Co#{CcdH(6r?Cp%<cz`VoobS
zj3SM*Xo^=hnW-z=|2_gV46oi^op_vX;puy>6BcrWhK70oT1<98(m0gKM-1+E;mOQ8
z&u$JDzK7w_NEmj0L~3$cLnC6<j|L6LD}R3`YB!Jc$A6Y(8#m=}^K0r5Im2(iM!~>q
z{8e5`(DIB}<iJ+7?VtJ*T3r<zXx%FwxX*cURn`?g*!W&;vd-d?OVvvPiQC5&nV{dc
zi?Px#=I${I&D$cVz&!72=@?CXoh{Y9ml-utx<}XEmusX=h$F)~He|VQgo5EF`Y9If
zUzUzxubnBoJzey%*A@;-;^4fkzsWWC=xMN}h+6}Rec^L@;LM0h3`RCRbLw^c0J@OJ
zX%!U^=b{M-2|*B|+w4F^tIVK-0vj8f!4(vi)pqmTy9?imMMRF1V%>LVkid<SZo3Z&
z5cE+l{@v#74w!XOfap&*zz;wmI*s<?fG_rNJ;eYS0(5<xj#kBO|1{x=hGM;c?f_sJ
z3=H>Lti@GIeuJ`+GQ!`Zyx-1*Rr-YPMPyVRhNY$cb|on(SpW8Ez+sY|O{#F+`rqDy
zKaySxPmTj6j&4+I&^qOAkQjBxQ~c$FSgN45_iD5~6#|=TvFs+={zIvYlw)s|t1W+y
zNWe#cw7j?(hgFQz#zyj*vKT&HE1iGGTRXu>q&wc8pR>rn9|%4^$Q{A&0)4)KL(}j1
z_Bmq5ih=ca#;9K}UBoFhh+F5H39xnJkRVs9-$a9q%q_!HPbGP>Q*~vdk4=^75`@(&
z1SQ5llnHo}GCqE^5`!&Jb+ti@DAm=pJ@27zkK*9t3imS}Ve?^h8c75GDW%@G>FVsv
zvki9738MOB<^d!lEh~$H&t)rqju+hgnn5)E{MyIeEG#S<jCw*zN4dbh<OU6$eWSiN
z=Vm~bN|~Y7_r{G5Kf;<{0<Z!H@w-|luo4p!_d`uC_7_U)ztq=r$pRInX!c}4GJJlp
zGzt?H)dD2GCehWPkyF;L4WT*34%nepib$WO#Kqx6g@-G(*3{OLm_!SB912@~&&<qJ
zZbL#rW9x?|O1*q)ALX>xUk$F!z)yhde_NpGv<t5Jz>x<B2Z!d(`JPQVB@q$$BQP4j
zFCCSqdBkm7;+6ev`+u5M)((8^ere;VnVZwu-q&x$x3>#2F)_ub75f$L4-LtITSVY;
z3ilcs8n~vKUAFPD$#^~jW>lc1GNtZ`6;oc$40@22)YZ{wXlRnwm<-y<WK&qwZgrKE
zAYjn^9)}Qc;8L$&$^zg!5D1ty@dIr;z<z6JV-p2f3xe3uK<EIp)MeWBn5F9F%C8L;
z%voCxVQsMn@`{Q$baZqK^O;}1EdTvmaCrspM`irw(X%QD`k*$yu1b<pQbg&WbuTSZ
zf-ZH#Xc6j!&fZ?s=}Lpj`ikmmpUEZgrnx0DXLtg-fH^lXF_C~m&<8ysoQTd2(^_^o
zw_yUyT5|X`6H{<)EhiI`Djd^BC5Qk40l=}Dt|+gUGd4EPN3jkEx?<530;E8O4a)D~
zm>5g@43p{^rdmTrT3Y=#oVVGd4vwwh6vao7^7`7<pR6P?CX^ohURoLn*q%1g<?<Qa
zK)?bOS^UE!IBluyf-9$>?;s~gP2>qCwnWb<JAY&53YvTGd^vm=9BaYFldIieO9IFo
z^leDqzI_X>>#6v3Jn52D8N~JVDRy@!aI|Y{Yr!TH5fKScW>o|C_%fNn!KhedJh*^b
zyDO5AQ8o7DAT2;kOAFwxti6lSse*A~>3LlkNx=Hb%FF*T5ksNjfq}?k;^JM?8tvL1
zmX`FU93;rd$P-gXXJ;V+0Z1cR0#Vf_aAe4*#KfcJE)-NWG=_mbIGl!_9vyLYxieWh
znRNr&kY(l-vIWasuwaN^kss6cPc15X6^czBIa_P72A)F4!9hTm*nlQtA6CcdsSDzg
z7JLr*+c*u#9U=gsI5iU!7LZv?1zZ=%C@6%Sw}4!L&9D=KMZpgR_9PChlY^5pAu%zZ
z=K^#~J6`PTwVsUdfzI#l#wEWf1HY?BAVw6s-vZDJSS4!*lux1mySm^XGO*S;ZWCl9
zbIKVsi_Xr@v%L`nX#h7x5FuvUA5F3g;!fn<B<FaEg&KQ5z<7{k07W;>w{I=_`}=Ky
z_hh1>5v}g{I_oi6`=<nih3fr<@0<a`od8`i17JmUp2c8#(LH02pf>v<r2kE}HnBE;
zD)^A9Ac8)Z8u4c<YJdv(Zymz%84z<7Pv>QiU((vjF9#rC)CuUu)ldLV5Cfgk<*oyR
zgGYdiynB2cAKV&)%ki@Dz+85A_Ea7x>Mviu7@C@*0xu7A?WEUvz-_W<9EHG(XP7Jd
z`>~mP?$+1G=`q}Mcn~5MU33Ej1N0Es|3%b+ZOBjw;-t;-aXO)f9R}pB!y-Zj4xBup
z14NY1Q6F)73zLFnDKjO%$43xDJ7;E~+yF6lv)4$KBtv*Jn#osm?yU7Yzs6+@P!ynO
zXlOu5NvU7F5U!4vm&c~y2g{8EKIxvH*D)Iw0+m{YE{3<aH<W~giiZaZNULScNKgE>
zd0FPhCMVU_Ya7jnNn;FjoPWFMPymnui1DF?g|r_06oB?T_e1ox59LI}ymaWW#n!J}
zKzd@od%Qll3#3TR_xJa00W`3FD($TUh4Y6G#t8qMkdROY;9X_z2aAz+^9^<;2(D!?
zLniL~e~iAnAD9C)nC;2Na3lwK!VIy#+v9~yR8#?Wi>+w@Zc$C}O2KkZyI%VF-jCGV
z+##I?TO*Ys1+#?~SCw}XXZX)8M!pyUyk2CA81>lSbuPw=xtgk~_}RI+8em1Wz*7Jo
z89{SX)86)ndvAGt{n~K}9hpMqjrH}uz@Q*47ne7Dez!ceH8sXy6*N90*v286A3oHK
zZ`NEJt+m)c+~3K)z^&SwZ>+t%^x*bBx1}SB(n3IWj#pMz<P;U-e8Cza-nd+|I*<ek
ztpc6$;%R_G9$=<8-2euOh=8C+B8IdN5ZA*&PyVz2rkkT;Zmh2_#1~Ko$Yi&zt{Rsc
zRB~J8GrRB2^$Ffznw$e|PYwtZFR%7G&)JoI`Ji)x679>EY>-{>HIa7ycW1<FM;=T9
z0(y3tz;Bov8g_!U{x*}Gn)(A$6&@ZALLm?e<OZ9zZ}gz`1pD83VU%*(w7z!?AbKdM
zPU%V8u!P6Q$7>TXxIW-&Q?tw;1JI(`#>PfjULLG^Z^3=ZER)yOx|`5RQpe8o_R^_;
z^F+(s{A=Ej`;sqQj5;B2uY{oF_ST14H|_lD=B5@{pUROlh@8%jj)ovTY@Rz_gU4CW
zNJJ~m5#i!?Zj59OLQUl86509q_!<CJOW!?sbGm1kv+ce&P?H$%4i|D_u*&?ob4^b9
zXqCa<>Gp#blc(MV)g1>9d(BPj#CUi})tXo!@#<?>UN$_u^3iSnAa0k5fZVC8Q}gg>
zRuA{|pp1-+fC>0^qzhbwjABzPh}XPm5G*k4DU+>|4O@76G$|J**hE`^`#YBG-S}bD
zFFf4_Gav-1?{g$x_*fi=gaZ{2`~xl^hu%p?SsgnP@XHPk4l{Fe3<KbcPyuaycwC$Y
zuRh2jj2s-|M1s($01PxSrHBhZ0u{JU89RVf!y_ZpUE3_KIH(2qQ7QnTD~<*+2sri6
zbM?6gDJ*Lx<fY|WwP?x7$p9481w;lu+e<gTnX??c{x#ul6O_F^jc;ad-re6XVU_Ve
znSeFfKfu_75g?p%8gCA%s;>vIRN$~3mphTj_}t{Sc}D%HG$`}I#R{M%Vcszs9-fTd
z0rkl0AZthO6V_IUV0PS+-_29NgwBCYDH#1eUxMpWyQ$wy2jm5Ldf(j`;NKQ4?Ctdr
zOtz8j>doXI+)6KyKDM<9fEB|8Gq0+ux?Gg)2Lt=UX?=hYa72g_fKkU$3Q4G`CC%B$
z$;c?{6n*9PY#1(SoK*k%zvD!@^7u(1;MLjPjhw=w*A09I@C*S@pL4&tYH7-eX(+>y
z_ib$03f^hESnL5NZo{0InmWT&-P_k^1bzb@1EUMTlQY)8r02=*X%a9pGBWA4s2({3
z>Y}5qF&f~A6pHXml7A&Li_2OLDrEBJ0xuDn4dy+D&wbwz@B_`XdA|)yNZ9PEU5WtX
z3=w|O3Fw@Tt~RrOb0WR_l}Atl)GiP@yY<OV&dx!ZndBhHOKOlURQ|iZ-Ze6!U?%|V
zR_Y}_5Q3#QD+jTh!4<&1*c_LI5eQ*M^)jV*BOMl)re<a$FY&kK4n9}ZnTS3@MO_AP
zPkG+Zul2zVW!s!uZHgL>3(0P7ZVa_iJHHj~@9)8(jd8itKV&edt?ljNJEn;#`}(BH
zdk4VNvAegIG@v@lV>fhDIM`$@=?bjpMUqTHdV0y{t;T2nnaa#Tu~%G!byvw_5#UW3
z8Z!AkYxINEfsfGWYbYpqnIvKjg4j@he`wp?`Mh-;h|~vctgNhscEGvXjs=a^kHt<}
zlS-A3lxfwb#>FZ2u)ri8XOky`#<Mf2ntiU0iG=9&e%omY(BI9@iZA&;2!Kdk*4o<I
z?*V-1EJzd5y+E7v(o#0FW|i>&_y8A|GFQkUpj%36c!Y*lg7sCu!>`TQ-^eI;PGtM3
z=YM<s8^~$Aq1mGro}Qla&14EzEzH?!(>bTtevMOqo29-%6BU1-9UU2IROlKJv+A3Y
z^SUUdf6Yiv?&o#g>8;Rh&YR%|@brz{-62HM4o*IwU}2dC1O!Ch0bT5&xw&-tG!AjA
zIcqn!hCI2m8VrQ6fvlXIDWLL^k22sE`Mvi8Y63za@U!W|nS3d(yE6&mK-FVw%d*e5
z1cdIIHt&m?-d-_;TSbVET>1#kxBGgZ=r$2KP9_6Ztf8r?WO<;_(%08l4e)-PCMIh{
z9kzjA=WD!Xg8|mD79bm|z%;Yj*w_@B5pdi8`2n`w5TK6Hw6$f@sk6jeJGt5g1~lxv
zB46kK;D_*s;7mXZ21Cx^w7>>cPh?sQBH{sc=d3&*4-cN-)6*9JrYkK#Da!QnrP!W}
zf3@b&{pA{t+sTGJx7Vp<{UF`MxnKPo-MTg48fJi~@+^=snE}I@0rQ;-QqG%E|NGyq
z#Fa+Cet--D5jpuV$ea2hRbU8+!6zpq<kG8TA569Izr|3qw`a)!c@8HRml<_J_%P6g
z5%4?~tM1@+e){BziY+i(latL+3lKVnW@b`jNH`_7pMni*1X0yzVPTQk#0D{S;k&y9
za==G`ZmlNgbF;j%u9pN69g0x)P?=8#UeqM|CjkS<q0DV<hs3DyPA)Dq(pTs3ohFl`
z*%1*GY|Nfu7?rb&i>b|2+1UBIbyC9|2Nzco@FCG40bmEO(O^5vp{}J>Jk#N}r#%JM
z$=uTN2PmI3fwR)GwEQ+zsgVc_W(WYD(}Z6bf~|*0ULt+LOPGKZT7}^Oc*!a-6C5C!
zY;oD{2LJt9XF!)&jU#l6$SF8-m42XMll=fGc+$YcnP0uw@Iox`_DnBcd`wGAV;2<_
z-Pqp#DR{G6tL?3*gDKy*4!&Z-?^S4UF#W*9=1mR@e?PSJ;VJCD<owuSw2xO6k&IH!
ziD3{Tl2IuFfOABorQ>3smGBTxy}_gXpGV~XzaDvbeE1CYy;b;Ia5e~mNQ*0oRlp1b
F{|^e|EHD57
literal 0
HcmV?d00001
diff --git a/QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/docs/_static/api_csd_raster.png b/QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/docs/_static/api_csd_raster.png
new file mode 100644
index 0000000000000000000000000000000000000000..b24f79ed83064f7ab5645e9cbdfe5d5b00306940
GIT binary patch
literal 13426
zcmch;c|6qp{ysh`b(iEWTO~%RgpfpKEiH)1o^>ikcG(SvyG@j(X(6(eogp#CI@(ZK
zvkZ-8lHFLc3>k*+^Ii8jr|!G+Ip_TT`1L>!%)H;P_iMSH*L6KFA!l^dIoEAnheDw^
zH8qawqfjg0lP&SL)$o(^P9cl%-(imvXFUvDY&^WryIn$^KJVe`=;GmMcR|?elAF7o
zi?giMVJVrt!k0ZfT-_C<rJery0x1_aTj}O4<J;jPYh5)=-BBp6^T;P#x@wvo3MEU^
zJbu*B=kZvVpTA*ic{R&r#l;n$wb$?5@_FqF^;2p_k>_5WHA_jpzLI=@Yr+aqhMGt_
z-<h@QT4t-TVH&(Hdx#XXES?xj@Y8e6Rl+{kWzOvs|9$H0jjOL#Ico3FaK5M<c-Bi$
zcI~@*?cLiG=IBIB{Kx!RryILz`Liw)yyx%8tU#fT1fRIMunI<q6~D@ZLIs^(B?jNb
z{sz;4lHZsNUmbU7u%S@x$0Om@&q9RRQK)m=M`6ZZ?Ed}+%T39YY}2RbU*8l{P%s-F
z9;Oz%+s2M@tXp^g@#E~Fq05%o;S~6YS|kT9%@4|5de6hT^?=64jT^-!BpmW0N=g*!
z5>zqQR&zGJ_+#aR2M<!-zkh$uiVuYv>Sx|$q6Fj}&p12hP;xA@W@bE;zka&*zP8rz
z#EBc9dwb0bXnEGbHVyHF#YKNh_c}Q<l5?C*ZFJH>n!iDmg<HtZ;l6kGVh&w-LS_(L
z?8ZBb*&<3Wf7s#FU1rM8&hA!hVfO6YA2}6ESSK2}+;Xt1vol*nJ$z_!y20f5@$0M&
z@cfolo1f~c%pVU42?@P3dUbLK_XRsUJDa7&dCFjOnr`fyH^=WKB%q(MNMwejYyi`v
z!V@N8ps>T);lnIE(MkNraz7G{IWl73oQqL4ICJJ4K|)&kApTAp-KotNt>WLVapC;8
zf5U&&^t=x4V9b&8)f9HLHZ~?UHR<>F_nXpph=@G6dv|+on}Dl8Zd+Dor$vS5qeqXZ
zMOUm#Bh1arGOMaiUb=YkEFFLEo}9<f8Q*fN)6x5qD&-jrMrLj<NkzbVrzVO2^xfVv
z+?a}dqaH@ENVPK!^$A1X>hvmL-B2=>yRPJN=g~M=BTKik$kiDUDol+u-2`JbwW~Dd
z_3Nv~Xy~sI!3~2P?cIaZ#DyZ21YJEnz0i;lyE)v{^faRvy<Aj@t@dU0ZPtiX8+z=G
zOK?qC5fpf3Q*!+lOQVOc4g8kzQBi3zF<TuD`+s#U(p`%}dAM&Eyt`G&=NWTmxcReP
z@%#6uio3>xI*Pi+HxON%(43r{nK?PL0uSsRR5t`4+YtP;s~Xnix8YlchKBd`4GfGd
zEF1|A&d$bHuH-2R>ArAM5{kh1X^M-B+Y<wXGcqzp+Hw<UIQZUUs4;27*cucnQF41A
z>nLm~XY#yF7+Tc|mJ|Es<r>eaKFzvEvg&w`=F<m<UvWqq;&9}h!{LhKjYcMxDGL)7
z7+CK%CWFqX5^xy`5siN~YieYaax8em@Y}m0coh!KCR-6bXOg*8l-A+Hhu_!L896#;
zKh{a(ld{+oQO*6VaT^?)@W?e8k7R8}zE1X<6*@lhS4pS}7tDI~N-ZmKu`%fwZo;={
z>b(Tfxl2LPvcynzv4=~}txv<Lv*-gh`2NoFFRwU^f4`S(ns1|te<+Q~;gvAfz#HdU
z5#GMlxOC}K2AOOH8v{F<SFILMd?dJh>fI0@eRo`i^m^MB=Nv3+R`h3y9Z?t9QTu3c
zu_vvt&=>~mJr-SW;5X#9N-S|fSc9>bnDCgwj=^H&<mB8G;<l>_>5l!M5b*CXgJ(+Y
z0?K1sa}}y<O><SE<emQ;Nq)S{q)<k_PtT{65!n~#1IV~H=I50JW^6G2B%X-}D}ugQ
zAO8V?I;r%;K^ofH&)k_~#f#!U?5tf^i~JqH!VLLGv;&NUTP)a6zgzucEOPqF(OoeT
z_F46u5$JhrDK$X)iq@@$RVb|V$sdsL4WZoXmYp*;m6cHB<kZ$}9`uK+`R^!d)vdn)
zsGi7;4N2rohjv2ny2APv6Lz&a-ug@C^c`l|r3%#RJ=%>AHsAdluG%LzUP{khmtER&
z%#*#_j{TFx>mM&&L<|=CqvPtQLgAqCTO0od*H2Ea8!Q_)#I(j*c{axFYvp`(!_K-s
z;P20C5Y?hVFwH-iWlX>~3^qs0SkJr_iP$44Nobt~a4Z>&_w)Gj>1f!t!}<~?IV}Zt
z&Dj%SGG=7|VjPQ($to!^!_2=onfclq;n4T?u5m0>fMN9V*I*iMdU~38@g4pXM!4QI
zE+coVpvjguvPZpNDH2eRH%@KL;1rPGbMT-^O_X$7tP43q#=2^ctgJzGxFAP64!*`H
z`xUymxfS@$IoCzY9Fw)FZH!m;%a)((@=g%KeLYXGEH&P>YnQ@A+4TKKk20WuR0Od4
zL{&e0c&bjg)br}b_Httss<HICl7{k^7b{~Fy>kX?A3cTNI*d_?Tlbv{ipP#*1dXAw
zL)%ZsDHwToc}D5$>(4YNEE)Dzg*88oP!S)_|B${0?SDoqN~+bf%`&Y<s#Lo{Y5Gq1
zw!=@t1P(IC=ujh~I>rhgPS-0+w?uJ31-%QXdGqG#2M-^Li-`2n*4(*cc=F`UGAoxC
zPGwfPfJ#uf3aIEqu18c78gj#G`t`9`?CpSVzlrj#2QEiSRV=y@%!sE>pFT~9cL)e5
zw|8)0K^Y7xyk2l}1P0YK+?@6xGV&8iW&8G{3v&}(MPYx!u_-OVw9QOFvxGI<A?MtA
zsIscc9wzdAO-(aAHRHufu2o9TfM&SGUbOe<3bw>+qZAW8b9N8i!BLLG?(Xh{<%Q=p
zQU-vj&ZT4W{ey!wJ+1|p6QZI9NvEBh2zWfcqz{hGkp`Y7bH8hAxQr820t`)umuK`Z
zT}tU3f8pZeRodlLs5(sxA2q-?H8;1mv?RmpRxft<xV|0sU`hgNJFWc@wzId$+GyZo
zVq*cqv)MWLR&`eOPNo+Xo%QbaO(W){r)vmBsN)Ynr6}%l=H=&i7;VqPs|YBIi-~=h
zBhQr^H>6}|Yu~+lH#8!G>phXpHh;oL?Y3vxCN{6h_c!8)<4PWS%XepRG(HpLtJ*fw
z_feQf4d);Y`wqxKepLiIx1itvLMIe_r;=fRh-j7!r^b5p+~5~iRmI>vss+7=GP81;
zSaY;on0N;klY#9GJ2>-(TUP_WW5*7U!8q>`Th)a}C&Ra8K-s3p`;F^exbTFR0*ig>
z)Tsk@O*@flI)yDaE4X}@%o=l{U*(Ycjj?MbD#&U_-%)$GsRC}X=%J+f?u3T4JnQPr
zXU`hN`BXiIB6o-^2Lw;Pm&k1?@uU}c4C}ML1go|{l_6f~J!$FoZkKUv=>*waR5!k*
z%y-(*(vlFuEedZx^Wnn>yh`b55{`u>oXt~%^1oHZzlcxLtj}a6P`5_Yja8ddlQtxN
z2mYrNNxcL%$=l6rihwGvpD0#eSCtTL`AM_XwAp*jC7-k=vQkr1wMOC^KBmp0Pzl2b
zfUe4aadk_~3g2XG`k2$&^GUChD`9niW{Y7wsKjGFX+}fzq^ks3hS48q+!-!EVUW4s
z5&jF*%`;xglZEGWOT*fDeRyA2$n5wV!EAx5fxVuSp8G^de5Rhr6#o&7|D>f`#e{2p
zNIbt|#|XJGn-`n`wc|d-Gc!xLPvg6}Snn1&eo+wq&S<Ryp+HxZ8OuGdRImyOD%|(W
z(RBR|741mFiyuMx-xB6FG|c+y)Uc!GzeM^Vq0hIQtM*-5kGhWjuZMVKjf~U!`g1?l
z!0)v){q72Ey0p#~5%@jIL+<-Tjo^ieHg#J8bhTl3oYK{8tB+IcaKxNBli1gH@r1fM
zy-7>DRZF_OZ?0VCWX(g#=E&{GS}Fnqflv;0d9xB8re|jAdwCTCleuu=!u@;qo^p%o
ztYT3?JxuUU2@}u1Ufn-1U_U?AkDabNC}&f<`I3#zNPC_&TgOCu-m!e!24fwaaIcAO
z0v!3vRd=>f^KBzq2gnQK&9AvsvxyFEnaRn=;W)+bmz6a#F|j4StFNbYm-`tR8YZ8P
zl^<?3!L-6Q2SNkvjXz{xRrDDlVP$1Y6N@W1gaT&tH1*xx^8up@Tzk|cO`j*9SU?CC
zFn?-+-94i7tLtmGDtcvuf{?Jjvx%FV=rehN)v&x6u`?qz_2k;MYq8AXG&u*#-Um@p
z4l_d^s6>Y-zz1nf@x6PIvN!W`4SJ7^OkU*`I-PEW!MFtE5C}&4`uLLs^Cv1Rw;dhh
z7B+;be-%8Z;mPGG8dK00>Xez0akqJR{ru#=m^{qq;zH2fyYJt=jclWH7KOFZ84l8#
zK-Y{HR<7Cbc5r&0c%|3^R)|FPDYvS8^XBaKQ~3S+_w#Jok^zqwR9)B55LMIv{9$tP
zPCtH5C^=z267{Rg%_rb#rsn<GNR#va-{3f(7!naNw?KBGkwe46oESyEzP>QDyoaxY
zxk%IE0O>B3bgrdJK<S=Od_t%fLaAZHaWG~%pD*Va!_Dds9xQnZfGTq<?P4Qc`4i;x
ziSrj^{0t24WoBlYDNDgdP``0N<HU&*Vsdgum6es0l7Rsm!0ejd$#1a!l^B)$<jIaK
z)|Z~w{a&RkY72z|YyQT*chUy|FOWG|b%28{puc8jW)dyo&<u6`{{q*b7Po7j($xIW
zl3^g{J#K-Ji?FaTL>JoB#qfR!Q3h;NR1-?Jsehc&TOHx>@%bf~VPr$C<KQ4%m<0MS
zwttGY(%QtzH-$nlPfO8?8VOciOhW1cP=yh^mQ)_KGhnXkTcN3oO#>x(`tc#X8#iu*
zhKCnYmF7C#k=yOojnDp0;)i>J(Hj{3E6!II$e<dDYD+>H@tNNc`}UkhQniQ%ThFmP
z-!{dxZV^CBS1I_x|E17><kjCL{knM`8Pu!WcGf{(d<pg!p=ypTcE0+r@a*pf!1v2X
z?^r!_BU*m-Z|Kyp!=zsT=if*1Z;gf2TWrE1FgRD{=K>k+EzR!#!{y%iC8G*Ly|vhm
zbo>OkBq(1)HsnK>?z}0G>Eivbu=cybv7J-j$jIn@ef`7cVMA^0J3vi6KEDZ(CuL-1
zH80Lj%Uy01=G=DZjH#(<X7)@1{xhh!7?psM)$2DWe*Nmx1@zJ0-u^k6R^pijyuoa*
zN`myxwzV_67s5pg&Y}`Y>+B-o>c0RyYNySICnvCzmHb8k)=nLTh|VloV$ul{x(O--
zU?o{eNk<jEMjIz^bBfBWnPyOwrndtCH;0BkJf&<xqtP=C;O>;0T$ic3exVw?gssZh
z0<SS@%4Bb~79Mu6oD=mx0I1(n+S-nJKt01gfBswm;<L;3H77oqwJ;~KYu5>@Todly
z+Krf{DSpIdQE=<KwP};e!t(VtaAnYopVlBe=E;*M1)g-{(=i7$(SeJ3P%5aN<bU`N
zZ4?R+H_h*aBV1>8wX3uB4r}2VpM2kimblAJc!@#;jCImv`>HuU-n!pLH-f3=eX>(b
zMC2HdJb3fkqSJPE8CwMezzI1|(9+SNz(n^mumqMB*h|K@@X58c+N~6d{X};;Zb1MJ
z=*{(8p1An;3Q)-bezAkG2?^3sHJ2ncH8lmvHs1uoUX6KwG9RglIXjls-rjEP@BrjE
zJcrqx9lLh!JlpZrU!~%A&w&N7>YAV^!o-=e<{JVj3CoMNpg@L4vT`Y)U_Oq_5A^rL
z_^Zq|pjA4P=x{2_b%RAEt)5>DG0w60XcId%<<=p}v;OJHu%>jqr`Zh%SOD=?CRml5
zRV=e6Ryy~(9_n*-<={f03NXRfT0U3a_N<X46@0XLb891juY%WTG>w^>x*PW5yD_gd
zo%Lg0$m+MYw&I@Z13**c!Ff>h9-rwLuQdoDjG5q@nwn;)4!K0%Zh$bs4?V(w$Z17I
zMfru(K1yJ#7{hdeg|bW2ywFh(Dk#wQmCpBKVlr_oW(E*(*wA<tzo~JU<|!W~3NCPI
zI)M&lokDmGV177GCrn7Wq;*<MLIPn73LXS}%a`TDyjujjdd9ZBlN0P-jS8ZCCsXSh
zU+2C)npqAq>wxEoVO^Y}i9=hCk+t<xzP)D?!OSq#9S!)}6C9)D`#j!vU`t9$%Da9y
zF;P+V;^JZ`To0OuTVCDZ=%4gCaQ@XQ&8GWe1_!V+m%Ds=!%8N|3w_h`2uTJXkyau%
z_vsp!{nsx&%&Dk~Y!HXa^L_WI&oA9xnk7}-7;%G=C(ZL*c$a2_^4w$O?(go2O6=dS
z4^NAQ5fCN>1O$xq^pbQ{SuJKHEW<v_3A7k66Gpprgeh$fYGSOsQxixKWnU$sI8ZAk
z^8>MrdkKqg?3=-|tGvxm2U^n-#J1Ao<E5zK{wNG3S@WKnFG60T)_(L$#+Fd2X2lj#
zoR~=t=P@?hmww4XUx0gSS+ayOBEvNpHjD+!F?;n-uZo2m56E1XK$WxI<6HSxh?mnp
zPw6(xJd&Qf0wrAb7qG+bD<!cP@A?fj2;6h6>aQqshSe<-sYHo=PV0lZgMR5F2&x6}
zqEO2}85^Jzq+UC{?C!sKdYO;z)w<rHt<c26e_xU4%9$P70?ovq2J+n~217&S45qc5
zJu`UZj%6U)#?O2t3+1uvSECYpJPqDQ&bhW@>;eoURLQ0vk@_=5sPX1(H=mM;3!B$m
zhtJC@r=uvr%D)#bJrVX*FN?o~-sm>w;&lX3@Z{mTo-bytZ@~+zA`9G<Jv{e|ngUAW
zybXz*DN8hJId&tW%iHLiM*c~*e6N3U`bW50A9<VDX&n2av&!<SFY1r+kRRvpiUSv_
z{z@m`abax%?rp!k0xHN@55ry%_Wf;Ye91tj?#IPRrZs0oM{n-$>l=C#!tLa2U}BOs
zKRxKsn0R#SA=kv`&z~Ebnhv)O%yzh#*xP4r+Yk)?p@6HZO9iWt%xujS2Nxb74mlQA
zJx$@{Ka6D07#(#S>nb$?hK5jLs{n>kUF^Z!Iwuf@$^009J@9*|g-)@EyFt&bAfG6m
z@E=r+IqYupA^@nG{rmf3B|}ec8-menlx1vJ8On?O93pzv%@QtedwjFC_A_rYE2|vD
zVS$RURTWpZGXunEbL#14Fi{fUym`ad(bCegM@mYEP9ZdN9_$p>q*er0037r&uySyu
zD`q8(vm2|z1dNQ02S`hk)#$be+>FS)zY2^QoX)+bi0xv(yu>2JyTf@Lq0<QsL?RJ{
zcGDN$iZd5I3J5q97QY*m)<LxZqaoJQ*{g};(thpriQ^49paad^D&@hI05js|qR;j%
zcR`nfd7Y<re<$$rJpcdz=xii0Nl65ifOKbjzI*p>tAa;57&yV<EMjgz-8wxyVmO6{
zt_xV4tR^@|{i~vksq6-R5vR5(87c^LCRh~4ScgeoULJ5of-^TSZwjnw1q0|g!MT}=
z+q7wu*=TRAH{o4PjR6#0;x<s}UDZgbHVC!~e0K5OCW1xr^E!E`*l`L;u2&9ib33%H
zM}-p=<TIxBjD11gO1ME#+rgxC+>K-3Sp}YCK546LbLZleI(d<kcOpB+DBve7QVz<=
zWn^ZaawaK$@`Cd4Pdhy`JKNDSmNGkCDaxw%AAgI3g{)6Kc2pcz=*pEVwoZfpB<3lp
zsi*LTjvt=@rB6vqThqB4I6jym2H?2EX56XC%gd_(mIb))r41i?Cx_HknRlT|w?eZ+
zQ(sT-?#ZyNDd2kq>;Uh*TwTLH`G+C^^{Qodtb=&&<%+r(xf<++34l&RH@D|r<BN{B
z8va=Vu>B8AkllCKec)~H<X7dqxw(pEOYpm4dKElJ?nBGS(AYTj=FNuqL(GZgB^N}C
zK=tsO8*jbIDKOJ`j7#j`!Gk<eU>jreB2RCe?sRXkdwG=|DL6=T1=>!*Xk0s!oR_Bu
z55$~l)+KmmndBByDQ#^M;7&#;&qmX5F69hk;9+%4|M~tXE&PUUhZ4c|gi<x^61WgM
z(2$VZ(qhOdq;wW!v?5(G8-*IY*=>bs<z<|S`+$ITiFJUHMz@HkR62q1pr-$`vi^{q
zPXy1A$dPd>cXEBm975%1R(~hUYQ`e$iMGRj2Qn)aoad5Ab}j)%hn(5sYe=KiEM<mK
znl43)>P7K-`4e?7BCbIlS#yKQ%h6dyKm1ELhOMeLmXRA8k-L@^BE09<uPF$%vqmL4
z{Q|pwZ2x^9sSk@SXhY9~-;N9kDh}A^h1*$|i2efI|DAaFyL<8m1d2i!Xn;m*YV^<0
z`X9QIFu8o!X!gc5TpeZ5y7z573iU}g8BF$nbTt8*k7z*E`yC6=jQhpo$>|I7EZew$
z^Ab@(-63!)|I+i^&hbA;g6tUw_k}T%1RNV^VOdv)JLN@yH7dSi$CJt_COvn}^c37c
zjX(K$em>EA!V0#Z9Uv!`(P|>+(p@G`G6nn4%75|%FAvY<jzTAdeM8HV$u~xxj+?j)
zE~3*o9bp-W{k=<0j%d&ZT;a=!?Y{Q8Wn~s1GyiF5VEgW>9{|G70%~Lk1pT%XD3h63
z+TuwBmfI?pJT;qOBb%orCl4{&Fm2b@a_`jSQeAwua~RrHSa=F^<=~^&Rs#VgEj<3g
z4RM+)1a{-S?%n^y+!g&dv|0HP050XOd_In}wrrgee#BJc#n?JYK9nRwd28zhw%;wP
z!;8)K{uURxN(>BB&{h?m0SmK8lg(cRlhtt?&iwA(RW1Q)YHC>>tM<EoI?@%m%o5+T
zr*WVz7P$qq6MD1Hi%U!ELTiiS1|-o7%?;;GN3euQ`U~dPBW+1Hu*Mq@n+d6mQ2K^}
zPdj-k2EX1O{Q3iL+HZiG8wJ<t-{zO5NRm36Y+^TxoP0axg|K8CJvJuB(8#FOz6;+m
zW_;|}walz6*2xs;dMg^zc{H%tlF-ml1tJjsAnB1ak)gM58(3I$nsxxI1QRT)pr8e7
z<_tJu58X{@6ufW(u8x2zuy_dx2`#)KkW?@q-t|s;^c^tY^Ct`ce!X??4E)5z#9|aY
zGY9J9vJi_6fQ^H1Z)3J;ezxeW%Ho$}r{k4Ok(LI?gg&=o#MXnhGIS2!4|~`{69u9C
z+<y2O1ZYKd9!ElpD8nEPP<FQ_q9H*g&6LtuI?w|yS)8f?I<2}~27MJVgl;Dl8G^pL
zeZ#ToGjx%3ko$rg#|t)AcJ^L+D?7fWy*(W%qhP#IN?Nl_%$;B}J%HL;E#z10QbFp*
zW)(Vh*aWC>NB@bjns^+uIbj58Fd=FUoJ*(nXGafqx*kiH0+KqT55_k4_`RWU=$iDq
z6?;@33``}no+y^F@~+g9R~D!@N8W^fv}^rs0KGXek4Md-bjAQDSNcCxXKyYzJ-^C7
ztovx-S8ka&KfCA18nbl=XhQ5mM_k!sTyhWcCI)W`{0M;kpE43<ONktlrvOLlB^P<2
z4E~&>uun#LC~6C=ye`ySwQ9}JeAg=a+xxImOBa420Bo;xFPCZsh%ikPbeB}QU-`(x
zDO5cFD`R*haeAGVi;1FrM$jj)-GyhO<x_iq0)Eo0TCyw&6->6EUFb?$ub$Qb4f<95
zKaS^5$0p1$nmsc`LHRJTvgC-T!PrqJSb?OUnv~xWT~DNylOZPMlqYqj%h0cYR2XU|
zK64x%Rk-snw-ydD4?+dK2p4oGp5;elxNpi1$N%(_e<%s;t#jl}NwT9lMk0Ec8#yl}
zHvT&y;jyLLh#hsP?K{yo(6|PN@d03LzlQ=ZH}})WkGI7^Fr?0DWMt$(;F3QQN&y!Z
zHuyt0qJ#+=mM&QruWSxndW2SiP*sFQ5ZfET<3oCEhqrC8^q;ImyyI&DzA*1m9RDAD
z94##^UNkz_HX*<m;VKB{1<E)4K^;w`Zi7xCk~jeMh>#n_i82G^U@S4)DsGONfsUQv
zh7eCu`xRf`;*$|V;9PpyEq<NECqtM3Z1dA-|1W=l-EHn@U|{gHsOS*EoTLK>=Gsm>
zpwVD?-fg3|0>ZBla)2-kfMOdsusbzXzrN%u@SV09`<P#CFAJ_X0!GiC?fawxoZASq
zJh3$%<SXKS*juKNH?l@O)%ZE8{Zd|qn28tgPuyLhmRnj|;my2Q-d)zi_AkaQ@INu`
ztZHzn^#Ivvd8!p$Naxhi9X&rk50M=T{{DRr$~Rlf{B1mSdfp#8fOD#6zd76w8U`Ia
zW7E_3fP4OxpsS&A*)vv9(d+W-o1D}#-+bD4=KU1R)HIzqeV7OHQBf!d;4)AKA(_G{
zs9<>7{=V9N8-D+^*bzv^SY{UI1TUWZ-K#DQ_M_U^jOKzYW>xdBuBu|h?_I7ANw1IE
zzr*h`D|WjS>jVu~r-U==qaX9t+bq4~kbH)iL8^y62Fb2eSGe$kJ#`9i)vOgqb%~-f
zD|%F}<q+jMMNz0jy%31`#Gx|Z$6aiZ6NyfP%T9i-Ea`t}PIZ*M@a8vYg2Hpux&(Z8
z-TS;sS2_=Rl_DV_@RKX_GJpc}b&Ph9bnl7kQlMJ`hDa0N!u;Yrob7Cnhr-J6lkE8D
z=ydS?Yc@ZH!Z89~yro+%!@@Il;0|td8&l@cQ1z!o^tEfa(XxiQp83IqT*y7`JSXY3
z$K#L&xcXvJQsdcU5U_zlW&~usrKKS>k@VjvgNRmVFy)xAadW^fGgV!lZ&)d`0Ff|t
zJk-F&*(>s3@i8Nozj8TTgz_`RrS#iB#<G6Hw}I6wHV0eEZ1Oz$Hnh&*UnbID^uwtT
zH12B>WT1%dgF2dc=&(cM32Hb4I;rUe1%~bewRfv~^Wxh(paZr0bWAd=4w6KGEE9ZG
zN1#dJtgZ>1$wb96d7Ql9JVvX)AjE&^YqhF9Sg}bZ7EsqXZp<j_BkmCrw(_02h@3U(
zh_!I*DxD9Y{iU+eV;pky08_}b#9W|FbeL8Wc^RSx$<R!of3!_#1@A1oKU5;;8Ff8c
z#Ul2gi!q2M=#o7}5=XEC$>2R5`_nxdw(tW@2`M+rEE<=9eD(>W01uA>B!36}t5uyg
zpv=wkE>xOE1OR(<m>cgBRG=LJivV`wxXG>X@TbV~{yC+v){4@P12#YBcLR3(m>ylQ
z`CqBNzq|D#o=3r;IQ8-4N5}+$a@K>X)p>mA!+^Y}r)P|6AbB<C*5p4{t^x3@aak7w
zNTr2z{-909oSVqKf1gJg@KbU&A1q=}@;Y!Lz<9`u$1#V`VXUIoo=`p2G)AK3fPMmG
z4HHx>tW?<`q?CT^)-Apo@Faw4Yv}uXM$|PC7RqSN#Tg;ZOi=&OSmDpE8F5P*sRlM=
z2SG9<;Q^cye0OgMfW2elfZVbzD;LVY!+Pic)Cnb7g?GkWy}DwTsHg<kCQ(*cyW3lK
z-jP9qS%`VO#9EL5{~4^59E^aXYSy^aHr64>_Gf&{<KyLX-H8};leJ!GmF30hnEjVR
zkqNkU>o?Gn#CCN*+?s;h!<SNZ;_P89t*ruCp3{NLbAbb&Z%fO=#5lXhf@xp6TTJX7
z4?lnG!ET?|+R^)7TKM)qpv+aw*SXZfY&aJ>ciAI0@$>?1xqD`UMpK%4D`FfwM+>B_
z-@NZd-@rf&FyKe(LcVVxKv&Jf#|M?+m>3W1@*NoteyIZx;!7`{tP%j?YYm3Ow>Y9N
zNY^?<E2JbPZI6y>yY#9x0_gDW?b}~ow6%>@_M44HQfH}w%S!_$6-=Xj(z!L)pP+%w
z*6xb3xB%8j?RZyd9W;zDuI3VQoSK@-md`Dl3cY&~Qg(|=%JC`z3K!e9?xnZo9t3tc
zkdYR@A8MPN`(VACjEqd`^XL1|EsS-LVpRf|(F^0H4FFmVdo4>^X6S7VWe}$^j)g=_
zTakrSK7<{nDdsMZ9CFJka5y?2D|o)Qw;r@@jk}SBmM$6EF^$-+6SOW!Kd9l#lYS3X
z@gI0(TN@F$Xgy8GEK@c1mwHb)=OxT8N;ySX@g{@UV7v1X6iQS25@?`kSgvVkwyo|=
zEh(WQ_vhi^IZFo^58K(xz?v(=QY;6^LXv|%-Q`VlA}{t!FAyIcc29i=Q69g;=bL$1
zMgH?s^4AO#m-S{2^o&*`1lGd!C3`BF+-){@4ZZl{&Q`fhZWA6M*r2e%-W@-Aa%)0^
zEzuV&q_F1U0_K=@BojhZ$6PNZL3GFlOazwzn3@7jZS4b4@z^>7>E^WkKm_K@qvGS8
zk${f%9hthix~eg+SkNS<G!qjOf#BEYmmnju*?N?fT~g{g^He5*Jp-8an#ohIMB4+t
z`Vv@m&lX6^kyf4#4RnV1?%gK=fJl`8Y<~T+6n7b!%vw9-l+T(~R#!VfI}8iK83o+N
zt|NyQKF}E>4w!`)kO<jGN;NY*y|Ee{=-6xjO4N`w#K3w&8dw~*oBcgt{6Hqanrw3k
z1Z9k1;Y^r||FI5|3)evZjpLx2PHAbea#X>e+p=W~VM$S;W8&G*&GI>VbNEtrNxmzi
zcgtM2UoLVCYoseIAlEikI@W1${RvlxNOa&mHH8z}-o4ZFJZSU;Dd*3II5G9*;Ix>y
z_$k<#I661ja$Po%oT5HEe@)({dz6&Wu&kz%9|41mQ}8?m?J&}n6Fnb{SexI%S@K+F
z&Cw+=^P%7%F$PtaO_8V?c$l7J#5S+5X0OB^vxcVUA;R>9Z{g5%7dyX2<9NUg^K@n&
zak(yjUI&k03}`cZU~Q1nZM&zdl9825M#$CHgU%NFq@;JMFo#6q;6Qz1KrK@JBu`*e
z4=&JaOA4tTGvALvO2de7b(la}d;8fjNLxUEUjaLlF68s+4;_q&$+{EhLiK03s8fR)
zk!C-1qo$+|N5M%SDxv2zPxaS8D*L|FVVh?jX*kEaPcN@Mh>dj!Ab$>(@aTKH5khI1
z9jh|p8zYpD>JC-wJw0jHlCDP?l*ld9pD3S;N7ARX<)yjvO0tjXD$9OfevXpK+G6+>
zMX&x(9j$jnuof%j7iPzrK{$d9q6A^sf=V3u>wzPXID4#POWG1PBE@RggRC{c&Pa>O
z)eO-YYlmf_2LCp}>!s)}XYbph!PI7TB;5<^K~<V?75E-B=KexEVje&-UXWcTWM{X)
zo?E0o_H}EiZ^%^SFi~BNkB`rRMw_6LPos3Fw|COe>)GE%XvrIl3>mJr>jY^&y_^nR
zm}O?07jMeaux{XU3am}ViKA3VDQf%smle}<N>_{zj+aizBN=pB$;W)#xuFZwXJ&f0
z5O_7$xX}ru7}%j@*8Cqhujiv1cwz&W?5fMk%7iQ(g+_5o298VfqQN*u7G_IYvmNLY
zGv$Okch*nWx#05iqj=qr{5g1+-}C1j(q+%;R?r-BimP1Ws(bD9cCu<POHE8NJi@s=
zUv->um*pX*Oe9DQ3SdtR6!CfsowKV-xl|_{D+k6{mehxUjCbZoKXkyLI`7}V9}TWd
z-JNZRn<hSVaH)Jn5bQnt_$-~g&@~YQ+%ZPdyf7LmSw2ca5aGz4p!p68a`W@sA}O~8
z<xuQsyG&Nyqc(IW6yemevQBUvQmZSLgxitAgp^Yx6JI=5*ijorp4pWTNl)aHE|!s&
zfTL!clj`qBMIk-Y>FI>!PGr<+@z_iUDW$hitDxhF)T&PC{Xz0y*#^95n-@WB%1p+Z
zm*ds4xvJ4ni=ing3(nVWDXIDi#u_kk<pmBpA3*Nx3qhk=LGRA<aA@n02bSaSUW?SK
z4Z*LKpoMNjBL~=Ym-+4nD+zlFYNyKqt%rN_r~nvUGh-cXi%>TXfJU={yb~L`BO)Y3
zW_h7v*`XV^;N%X?es+J>QFGO-_}$xBMb_0D@}YxhU~Fvjt%{H4H^hJtbBBPr=UC+$
z%{|O7&`M52CgUThle-rwxfmA+N;!oKDcck68YY@%hdhstAg_4@q1Y|Z|GA<N2T7E}
z1ArBIWYv3C7~g(ghc0ktYLQaq{*s+Pnr-FkXcydcEKc=Ke@&EtrsTuhQYCLE+L0o?
z1=`{vp`rVsNwBX17VDTlF^M}Acc3adE2l*K97gDn>x<3PrjZ~IWmc|UzfUKvIXNX|
zUYSg7zMh2+lNlh8y7vRwJpi+1;nQ<t0G^AJ(SK7rojD1(F;KBYuh0frg@8yM^srAu
zGlju=|3IQHaA`0w2L2p`TR^}ehs?Ckzf|)u665j=VKg?7&EG99{vK}is0|a?#T<v^
z<$ffmiCIuxnv59G!Z7j3upxmERR?Asi|pd;EDyn%2u%%*eJ~d7c%_f<CjnoHhdUZF
zMMp+(dnG0102`|M-5$YB@8R(maFe$&1&8&iUF@Y?feRh9)r*2qyWO%*BUDWt0ummh
zHp1Y<CR-gku^u8#&wfva@BWju^LL{B-6WY=UKvsA%R71O!ZKV1rFlZ<c#hh+tN#yo
CF?tRF
literal 0
HcmV?d00001
diff --git a/QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/docs/_static/api_tunnel_comp.png b/QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/docs/_static/api_tunnel_comp.png
new file mode 100644
index 0000000000000000000000000000000000000000..39efdd9b301a672a9a711b3ee8aebc360fe4d194
GIT binary patch
literal 47364
zcmYg&WmH^Euq_q{9xOP75Zv7*NC@uk?(QB!a0?z>2X}XO8Qk67-QVGR>)v&L%sQNz
zBVE;1UDA6KA}1q;jDUv#0Re$5{!>H&0s=}20s=DoBP{R@NwZo7aNu$hRdZ6bHF0v)
zcQA&K)_1bAvURdDH~8XW?BHl_Yr{g%MbAY0#mvdc&XJpe!TNtMptp4}WthS}B>^4+
zZ}(H(5ds2L|NR45Adqhk0nuPDF7jQ;E%kWCR847aG3dfGP@i%Vi%LQnvhr6b)a~yT
zoQQ+gJ?Uvo#Zhqq3JQu=iaypUsmh+uo@evT!5==v<y~`2xeH|aZy_Nl1YSNnoX}L6
zCYmCgo1WCpDc~T%LJNH)`SWSBiK<ll*C*g_5k(3=iTAIv6TZp814p6h7#QmJW3Wby
zAQ^D{C@+a#@O~t*5QmEY?;bkwO!W8X6p+Cy{r9}uZ~yZUyl-;e4?Br4u&@TUwz5u6
ztUNBq4TramyCWpDv`C(wo=wh2eUl(bX`&1PUw+ab;hD}yvy_+!w<k-cF5#1t3gois
zQb)6;_6`mPleywXMn=;+Q~$jT0`H65%fnuVR0?~<oUU&gpXco-G_=lvXwt!vk(!2=
z*;38Mtw<iX{j8w*W>*Fbaw)y8Kkx+HP6G|n^73dePj`DOu4|>2En~b_NMYCvCg4;q
ztN98)$33w9lr+c8!xhH6EOOI#+XE956W6CJDGY7*P!O#;Q5hM;iup1-phO+!rPsP8
zo1B7zU^2-BoVnhfo=>>AgW<R=QgwXZkF4Lne?MMnP8=Bcx%Jr6!pqCYm&E7E&avjj
z0s#*X?{vDHWW7{}hJm4oI;Qllbh`K=e$=uFv-ws}j;VZEjxt5+_@3V0O6w)|uqUgf
zx(M^ByrdF*E{AW3pJ@wj-CfUCrQO}R?CtIQob~nf@1LGjaSMiqhA3%hSbR$7jt0SC
zb{!Q=Kn{^DQ$`$0O3IG8Ic!kXMpNjVWhS@pD=&8%3IhW}?2V3&&bM#h)Rrmu_*OP=
z4-O7y_-#ErxGie&I5_Gpi1*T5S2spE)=F-<-lu-T4V0TZ-sb%T%cI*0Ta;(?czr-l
zXXx(k4h(^1{s>Y@!ubVTu3c59w|4(#wyfhPzT5>|fT<>S+sg@4BoY7c${TIT-4$N4
zq_CBu7m;+OiDdHTRe|WJH!Kn4`po&kJ@-Ac^BqgeoX?Fjv8;OkN^-pObKpEBo~w7_
zHufR>zB`_&>7ECdkMbd#T&?*OEIvMdb@LH3GxPcFZCyiDeZ6Z$UHKsnUPR#XvR150
zQ88gZ7>vTh!&7}j4bp&84jXrail;7x`1QL6iaGWwB=R79E<sw0lAe75JPtv(AkA#V
z)|*Uc{(CG(+((DDaQA9Hc^df_16OCFaCeA<?;jNz%aOY3LX-OFCKRQFv59$Ml@-GB
ztmdQXqvm{-;)9uDY|B|CpN?w}KFiq>5_b04P5#QtO7bP>5{=rTp%c3IE9&a%$osim
zj&TMD2idqIKh56GwD10g(jn%UUIcw4DXREJ<%e#~<@(2^-i4|w^zbESt;T$+;jHZ`
zI5ad{HiO^ma*zTO3+ti-8WqCsto3fPOq*xbeUA_#-Q$o778$Q6h}dUfzS8hvD@tI#
z))Je=6wFG*!o!oYy=??e<AGE9Lsnpxba{K*H!~9-MC1_+SlGtKhF@41B4FZV?CdJ1
z=NQrwU8_?@xkfCkHP99ybZOEiR;oV*HJ2myeQ>UM1r;nFC-Rnwq$QcFOW3x}C+z(9
z>(Dx$Cv0CyNf+vEiH8#zI9zyTWn{?d=tdj7*V??_y#N@=x36D+H#+WB>2*Rixtv%m
zn@nVjUhhx%R~q(1**%@qPvwZA#_D77zup`6Md0`6ipSz`+I?AFT^-2~Xm86ny-}nb
z!Jc3?uO%P8dwa!?R~VFphBI)5-1=IiS5XlRo5lE#VKj+a%vg(Gt@Q&0ej@fDOI!-=
z45<D*!;JgTo1iF<T0nqURaJG<i^%dHzf!`0=9C?t`|#Kq1%Jn?is-eYF3w!M$LyQC
zrbfoUA0Vn(tM9STNXpeFtwYzQ*NZ{KJ!`dCg?rD^v!2tNu0My53Ur>fcCh#DP`N~P
zbcpEb>7C`2Zw9n{gjgY~RnEF}tcP2LJ=L2rNkp)GmRsQhx<2QtplUW_>VE(hRWm3b
zt?DoZX)e^hn>rUNp<wFgDpz7ye^^rrcqO`MU>#0|C_nj7qSb)vN&!dCRnu+h`Q1OY
z9&{68u9VC0??&mWR@DN_L{ehH#>(n>L18unOO#Mue!5ZxH0|6@%?DczVt0aVT~KI#
zOtukV23BiUG!_Bv0Ga%~jY9jmRke@$SUh8@%LFscqi^bs=o8~W5SS1#W7XK?AlsY*
zr;Xd`0u%kG;)|GLsKLqysMJS5mWht{tNwW1o+?1(wJ`P##RHZb^SAk9{A9YGskyX`
zIPg1UrcyFPM6mSY2dhc?zpnd8Vt1+Jxz(tvrKxiJjOrp-xdJgWH8nnN!~}R?=#;T6
zmVNWHdrsgi60FClDRRRW@1q=XR3G?hGr7&}fdOI_kHYr_VFJhe+T&LHCnz?I!p6cA
z7#!ZuR#`sMLz$&pqG!yvyuqf7Rn0Eqj55Zh*{pcNdKtp+Z%k-zk4=gi*&Fk#EF*6w
zbWio)X3e!vxNAUj9gN&Aclm}K0?$0|`Z-mFRdtJp;~>7)K&QO^Uvf}F-gYjQqT=$n
zrjejZ{SBLhm%0yWv(F6wG|5r-IurX-N}3rSotYJ@k6QX3<D9k$3iFu{)|epRG_lBb
zG%ORp{b}f;2%5Vb&U|v`_M$xRWvj=Q&VVWEJ03bPrT5WRQ0m+Dy@mYiv|X}bQ&yUG
zzkZf)zSbFrc;Mbs&i}^~-!wbWiQM9+X`8z>QJBxNnyGPQbG-lt5s`vve={B^B8EYw
z?W3T*K2^w5?BFPMW<(Tzn&*c}wkGIqo6~L@S8q{ypOC?}d<<~qVYwT`V^l;>R=l?V
zv=&88Ue>`9$L_@}gY5a?dgrs}t;N=(!Pz52?<83YITxObqS1jwbjvMrPI7rG`2zee
zy1|9*ABl{4+8jgl|8%2VOM1(7B@<gLSh^ZOSr`^9*-gOV&_m>=?<bTpMqGyWfY{ix
z#?F>(n=9N2k6Wed6w_+U8~%_4&2G#gA8YEIuUDMdT56Bq2?eM3wN~1+BR5Gzqi*@`
zc9xP1fz(bNh1e%o#|&<+Ix;}Gq^lX~O;w_7Ek#^bsBW+OG22-9Biw<Ua@p-IQ`3~=
zddE?HmohFS!MpiLX&O0g{k_BP)G-DFs|+wXkep1o(MtVXZyO-mE`pOUThKdk5aF|Y
zjjjy1INO$9lV6!IclNqGw(Vp5P~mujrt*Rn6%i4$lowu5?O1m2jlcG0N^*pKOnzeo
z3+w&j+%SD~&C9my&Cal3ik_GGb>92!777A(bsiC4`Rdipx0#lRM-wY5GV<N4KO*uk
zH+^XB6r|bPE71-$gBX3{kU^Ywb#jG>JmwYMT_C9LpJSLu7Q8+$8)ddj<&8u5)#{Ij
zjY>hIs@VRz*pQK}fb5ETVt%6V=hJ6Q3)XK&##stt5R+W3jg~&`@<;QIXKO=$D_1J$
z=JY5jS?TwkcEdXL+E^=4w3nd&x_#;0-0HuhfW}IjUHVXKUD1R$1lm*5QIXNNsf;f!
z)U~ePtGX^H<m6d&G(Cb?v>B^)5tj}_0_m}hx>J5IPU<pxaFFCh2tYQD9CK({1~=5O
z(&>ld!7I&uVkyIB@VfelIMr?fP8xgATaa9SUFKZ8Z%}V$4QqMUfd1<|dzoh08vyD9
zFY3IO;+K>KI$U9NLj>!3&mYI=IkFxNvzZM$FZ*7&Ba+}HVuetQAB347c@@`6qTNVw
zgLJzIA){C>+t7N#PrvsMKy(>$PuALgylZ8SzGS8|Hw8P|J=xE`wT5-`#Fl8&qsU;5
z4uN`;sq3kzsB_}Opd)2Qi{T&3%yZzQ5b_!-;)vJOjZPf!{-_k2P9>8f5iP{q@IiA*
zr`JlN3u$c#T_EskN@vDftA-Atsy7qJ%YKv77B<(%9X7ExS|}OPhxI@?=*rYIgg={t
zT>BymEDt!YYl7F@eAvvFoNWS0*2Ab3_Jc&M#>`&M!Z<FD#HU^+nA~aUQ5i20j^gUG
z^o5;X7wu$7coXr14B`40#O<2R1SCCJF^;R<)iW^9D;axcyWX?(V$&FadiBN+#<4K}
zl`J)y@$g_<bNHN0b%vqcq2%qIpTaoV$Q~D*UK0{_*2tdbQI`Lk5>r@c-ThSTvm~W5
z^dU~BbVN3{s83Tqf?u6100c45Q&haXJ81{mi(PMh_!t$oorHP@vtGUDYkC#q?d+&0
zIW@Ll>YMh8Zmc6pT)Ej|fO5(yez%X}H0(%5MmlHIy!`i(xZr1BUe#CJlpzn=mfHlK
z$NE^$OXC#U#l@SQ?&-??i7Ul%gX$BjG6K&ESiGlsB|5+BtRiT03YPnW8v*yCwPLAr
zw_o@xr+YbK?fOpwo|H5bpNOVHo^;ZB7{mk&E&|T}RbD9PwYb8q81T%v)8SHKdFS&k
zxvP0CPYkB3(4%12x61A9*_wHaiJfm^-{r_r-#_;Xs6Xu8TAocKdA|<vLg;u1=H;Me
zGif-vAX9^oIqum<z6@k<h$AZVQBu(wFWgzG-@a(X-C~t~=L>YwA0M4?ia_q<7?1rW
zr`xB~BK0pVT5Qt~v#yl0qffMXB2LHG^e{F^VPAkf=I^P`XW}!=4PALdASB2d>)g5H
z`OinMxE~Zh$uCmg8$9aLX0*;MlBtg_Ozm-{{gW93`v8t5FQ;X467%O%qIz^?QqXT(
z{nWEhr>ITv_mlT(=C4m?2m<BHY72PrD_^XRVRLFuBD?zF81=@}L{;lTF0;=V_Z5z6
z_ydX%*<HNl=Uqh2myiRbArJ!4rB7M*B|c9dGz$84)xk+TeW#qR%shlZpkTz*qZIg^
zWyBw-F#MtyPj8#$)G}q1#@=d3IOpp9O^)qv>k&$|t9CEtibTGO8(a<f=`4;15(>qa
zo*+P;eV!toDgLIg>}PcFx4cSIVJOSpQ^q=O<^I_nxQ4S{{EugZ;rZn}>U&cC*?7EJ
z*bo=RDC((aWre{+tMLacL>)gs+hGU3mB({*v-E?9CeNNEZ%;c+>CLv3<-V;Wi#x0m
zCtBKS95*Df&cx+wU2`d}|4Q(uN&cR;tvX#?WQVzGwxrVZvErXE)Ei-9&bn)FtXhY_
zpXU_IYBsrfqOETPDrBuU1`Mk?QD(`EfgrvvJuqepf2oA@fvLak7?hFLPYNW(O&Srf
z`_mglmvJ>J-`$X7>Kf}z^7hgob7Tp=-6hDX7vq3Hdi**hnFy81AYf6ImNr~mKtOK5
zxIb<gmBpZqj38!Z)oi$Q2&sfpuaJC2=`p&?T|7GbAZ~ShWYe)%Ty-I~VnPoA>x~k4
zDV#YbtiKgBStc-lBc{uZ;(cnAxoo8BZ^GaqDk>Z>sjtvIttpLOa2OL{&vs2l_IVCu
zl4d$vW;oK+0B(!t6Sg@MJHDsnzCp-y9Q)FAecHh{79pyrA)}!{o`0Ls=td;yxDX^|
zZTW2KV8E@JNSt|AaLW6#k=F9iA;pR<CK-i?4nEh+nK-z9e(05`ZaPh7Pj1d2?Di||
zcfUv&E4x!JsI#dgbhkZKgb26cs9k)zA;JT<x4Bn*m1@1F81}KuqEk$4J%fO|{pQGD
z{HtM=#OrZ#&5QwdcUk81<8keI*(XsvWSU4KxGyAIUOUj(%@JOl`mFS~$gbGOajz3S
z0qi5X3qGf1&+cm{5ZjoEc9eYn&y&p0%UTE6n1bz@5Pg9`%+9L@L*@G{4QEz(F4XuC
zHixSqnIjAE%lR!40@V7>^h!z7jY8&79;a*apbI;8I}`Gw7V8J%Y`RwrfBqZ?=m1ie
zvNz!!JJQ=zUAa`QPe>2W3OPE}*sZsmkC(zYL#T#Fk3{S)OnFPw>h09fk5#2+VI~HY
zOGt?~Z&mXBdRwn_5>Ht;8hn9S15O6!!Ut<O5^rUkcUXRh3IfcM&g?MoN)aOFm4U_r
zC58*AN8v{vk->W7bd^pg_@T0Lno!*J(3zzfaP0(cL0eDY3hxCUc6uH?W~nYyhUZA%
zU=BXGz>DsLIj)+mZ#LGc`=6)KKnjC%<=|S*s0;=5i-@e5*<)}I5Sv+c(uSB+yr32#
z7<W&7MEaFq$GwlT&ISfco_AGsj;~AU%3mL}G<hzD>QN0XO(ka=3An{ROmR`qZ`Q4~
z-f%o{iL!anORtn99l5{8UyR&8py~MRx-zpI?gm*q#wu!cNrsKS6*L$bcfo^=_8d6*
zV!LsZdIYX~Z#2f*st*VReEqu3lL$r!HruxXF$nb@s=Tdnkt$A{nAfb=dJ}Sut`k>|
zCzsj@S!~lf#$`Hr7wb86Z6Y}q?#}$h?w{7tGEbqECGEc6L8<qO)>u2=s1vY0*sA$-
z$VsW6BF@hvi)K0X_xa#7#k3#gvRhAtb92em?#ED#wJlv5?(mFbd;3RRvBsfbOlYGO
z;IRODpKrSnTc~fVqH54=|HQBMLcN1WcN^)_6CV1-#p#<YJ`yHY+~3rH;B;j8l5~tQ
z#hkUhS*q>>4)&ONv=vIai3(3|sH=AM?zYj8&tr3yo}zC>@$I(7@@bLa+dnr*%$jEh
zN0IsE%@>xMwFmvBhV`MkI5e*XuMfur(*-Bi5>ImNQrLFOM6OpRo(NnjiETaXx;$
z-mY)Y5XqTvsLTBIQfOWx!P)t^C2od4kro;;Gc2j1>@xvT`i-Ujq~tADD=sFb-@AHG
z-OI}KQr*O6X^_SLktxfvK|K?_wtoE{jVR(68Uc~6e?}ox#}fhH8AbwxI_jWDWG!me
z-`C&dJpC6a54t9Ix|pZ*ktb#IApfQ%bn|t_R=U<0j$3;l@U(G|$ans^`S^{O`XAum
z{&_X2*HcLZYOcXIzSf3oP2Hb^Eam2vk;*fxYO^$@#L(|D^t-e9*r;FD>oC}wj9kUX
zzU#+*PP|wOk}PhOHL<vLPAeXCbY#*5*&1_u_crUUNE)4e0jG~{4412-;ZKFwXfJJT
zZT--@14{*e?AK%btE)CtSc7=X8#8igEhau#go9L*TkGyHu5mBCC^zcqpK?W(`lI}_
zFcpDxIZpRzKgfM7K;0Hd8H%2VY?B3Ci8dz&_$lMSMn}@Nf)+V7tq!V)!c+xvi%L>V
zCgZv<ec4S!5?P(|Fe=Y)cw^<2(SkEDjdk`L55(lq73QxlIvMxr7nQ-C+BjaG0!_#t
z`zZ?OUiD9KuEynnWQ;56;oB+C=&kY70;6xxpmEpvYA0t+)mDE!Hv531+|tq{$d&QR
zw2X|Rczuy)+HbYHiBV4r^_K~oeU(P(=F!?))a`5OLL*HGcK#cD$L+l$L|jc}?@Dj<
zhPQA?1X6ZRI|Uly(gbNPUzE(gWTT3hhYKX!SYGw+x%ez0zh55wTE!O&ijHpNUn5-!
zGfhi!)SAJ{l<`FSH#6-A9|d>Z@DWmGagfN&hG*y8y=P6MCNFd#kU%sgT9TtbGcA4-
zq#onizv)4M)1?fbVpjV4Z_5QnUT=cr3#eZwFA&bZot{Eo<E=(?(EG$E!V9z}ZUS+d
zK-Tmu5JqKe0c@5L`q#u>aF{!fiq2H1-}LB(HxUu(s`ZepE3cq7AA`k2AhNm`I&ANB
zd&_oKZJC~;{a<^+*-rV6C*(Lc<v#9Wy1qQg^+$8Dr#hSPTO?ztC`O=j{DI6kb!f!I
zQvx9jm0)N4fgr3OYc#A?qPJBZ%h#!d*QIM{hSisdp23m-uF=A_TrMEn#RvD-<?k^;
z-&Z_ORz8V24*7y-rv1qYY#-|r2MZCPOpLK758D{hv}hT#wH@25uiwjYvItmQP4L6;
zoN|@=M#2XbkqCe0;exbdypx-+wSFF{Xr)#Y<ed^ZGsRLF$)#In08T6}Yt_e?U>XUE
zYV(As)#x3GQe}R-J6TtGQ9r&TkTf2v9ICXM_CW~`{iv^}_DTO_adLDmWk68()mD&I
zBQ5><843ktT)}>U2?V!%rKM+z3>))R95ze=S5;;NgrrL6{#w^hwVC~c_FlEn@j?d?
ztxtE9aWZC-stP*S%6xNk=T@nCnNI)ybjpR&--$DBYc%KL0Y)o@TeD+w<kZ+02SL-O
zGZb1*^F-&2KcAFUf0w`10ltUvoM`jM&N)5Sv`=CrP2BQ~nQz<tg1>vlC}RzsX;-jW
z=YXHm<ikxD7FNAbMDrwhLrBm^bEdMa{%}})HD7nb$yq$HkkWpOfT((A6*j`-frB2Z
zo=_2Ge9TgYh<ZUz&mKpV_HusZVrsM}6OMqov4StApp;F*MHj>eUr5UzC)lMv^?<=<
zv%5Ew;)+&TAb(TKtaV`vE$uiTVtHNck*&+h;d~}!-k6a8`Wm#1ek3bBqxHB!<rFVU
zbB*;jyDwQ;ZEsTksvi?d-F1{xCPsHwe%;e{V--g&Py;%m8cy<Bsb!s|var(N`!nQ@
z2P=%b!}S*Qy}J04NfcxME&zral3>{_&L5wqJ$ebY&bWuqf1fRz2XezlB<e(bq(O)G
zX2Ba1JMOO+Z3LesYPCtH&7{Wox1NYzy1VPGEQ&2knyJg_*mk>3k-l2jCYd1FT*rHn
zrVC3kPd4GFfJp}C;EFE{LQqTStDPy${Xep%4hBaUw#_8SQ&1=>_l>^x;*Bat(&L4}
zJzj4geD|iBvPj~!Me|e`4N^vPE|${$qj4Z8Fy<NVH}uum@|e#@tnlzxnH7dHR}|Ff
z(UZi18v}KsuRdd3)~Gv_@WKzvL?>;a{l%hAg?)e0e)Rx+Amx^dalPgQ4f=1t<(huU
z0wi2+hIVb`Ob2S%11fCJsx26N>{I<Q*kND&kfw`knk`&sL)1%$F!$}~vq7-Ud}Mbo
z2=B8sXHPbAQ23G1GaoMZxA4`p=Z{uL;J-G6IE$^M<+z)avvH2QLMYAPRO5qA!{gDP
z?L!j*Y|9u}gVzn;&1y9Az?xloil!yn3SoMT`-7BxA&K5%O7l6rEuwN+*BzZ(u5oo~
z<MGyctWPAF?$R_MrxrNPIS%^3!omIFS#8h!9}-aU4dl{=fivy4#y4m2q%p1sOCcon
zH#wSCVqQ?Z=4)9Dq-V!LI^`4;#lJA%6oYl0|K1?FC@Rdi_&}%)H?y3QGE)a{=h70j
zTf%~FBes?}n7G2A!>D=s7mJm9oX<qw(!V=d?nzUWv;TSWu(!36b@JfbLk#0ejvfr$
z5~t-#74$K`dbDh&YAjZTDUZbY{iE1;=$WiUAj#+?MkCHzy`6dDP5QB}H6<cxEr~Zz
zu4!xj5jCzZ3%h&TpS7LQnWC=DR_AlxEa0IU<^%%KqB#cRNvK%)G>n9c>m8wd1ZwhJ
zI?9^u>^&<ie+#0cVO(x<#wzGV`kjpr-)!<Z+yBJ%gbx2H_FWrU2um!8D<v3}Ewk7r
z7MFAtoHfamGQHZszmCj%0ZqG5x25wW-JbBx*Ir>V@V~(oSdVl6yGx{YEm&%UO?cE@
zFdKQ2su^nVN(*$R3R1rt)89(Yye-9DWeC?<d4|8f(Ua@{0_%#fTRS04HDe||IAZ)3
z;#jgAKajpv7+1q2P!8_&N}G9{nl?zy@7ughUvc-|9v@<K7V1(GrlzdlYqYiqe2SZ>
zoKZXF{5y~XO<#9Tqh)XP!oyytZ#K*>@72jFl@ukdEPnC`Sr=I^r^5>;t#fnsrA3Dw
zC04H4`<G6Ng!=3+i?e*E2ITl*%~5hGKNxCxF=j<D%TxPR(#zUIrd)QND$Dt<+2hK5
z%HLJO{b`oqidDjftKN$^%b`I|$8^%>nE47j4$oP_N|%QS6-!xDljj>4a2X1%Rz=Df
zzq!U%l~zoghhLJf&3A!v19Zz;iNRk5kx0i2(dRP!Fb{5@HunbUgujj-A!|`m@2Y8h
zPKnCc&3Nf=kW;hTF_q(c!{_*&^0kT4_f20%L*Ztc-PzdS&Th3;|65_BJJQQ#kj0s+
zrIG3?4w-%tlUjOAM{ee+NP}u5!s+@g5qsSR4w47bqt@}tt7X*~h!aGk9a45YG`0W|
zD6(+DE}OLZSSJ(jPfnwR<tSN{nl9vQuSNN*3XwzEp8pCzt0-H}`Nz&9J5Y?bvVQ=*
zP{!Tn(ApG_dS)&5*RsPaW$Tzpu$8<zV-)+Y!2Fu*Os8i`!|}4DU3pR+k>+g4;UGQT
z4+H##<K16kLv)@0IU~9Z8Vh~-ww#FS<5pp?4rZ8Rw6(cvjL^=RsW$QaYFS62uv)YU
zSCx@Zlk@mzBEMRo^F(v1ToK|$7|Pv#<jYWvhJwT8d~9-GC~1h5xJ239WBNYv=z8St
z6xC>hGw)7Qs7Z78K~hWO@^!hzPH%#LvdkGvgW)IH>v96pQbT-Hh&+_wozntf6I0Xl
zMgHi@`Sx<Vl*yhF3qir*3I}U8L|#9Q)@JEbRt3oOtV4tRgY#Zva8{-#G(^B;>E;^(
zSse<8Qe*k|M2pV_R#r6Ry0f3()N{BoB~arIiA;{-iv+(^486o*kLA<67C%xbHf1)r
z?WHTspeZTKBGCigT0|6E0r192e}r!R$^P)TW=;s+WIzYF?V4ydp5K1u-(~v}(8?iw
z5aE7eCo~*gPRmU%Y3EtM%X#hYa(`IS?0~T4z2Zr^ORIAczo93iiL!kQ*<146q%w!5
z2F3X4fA0x!{nj-G=Znh0U2ENK&DWg8fiplwzoEA4UYE+<y(tWzi;X#}PWO6RCQ`?d
zAyyI=m3Xmc%zgFwmt@q~g6qI>WwE`h)0e8WhX*L$<&PbuLoZDp^&j+3+q#u)9LY?1
zcnm)sjpwluF4mMeXu>PqoC&EjiGNtQzPQfk)c#;b)n>P(d{=lFlOc2vFv$*Mec*7t
z<7ufBRAxj(MwYPW)`ADp_C;!9tq~Pa@g(*qPp@Jfj$Pz1M)2>{E94LiOU%fKDlVq+
zZ$yjFPWImm){rk$Mrr{uyii<|*SLylJT)2S6zx+el})^-Sfopl)%H5P&GqRub`XeL
zx@;W<XEUe5#`^T4{y7hVsj)=FUENX0StU}#v9cqZ(;-qrX(IyuJ2JI6XT>2mcYdK<
zFs&LqEZMrI+0AgDj^|)GOyMvQKEV3>Ig~~^?p-Y;#`GQf_b<f#HS)3?Vvq@#2hRks
z$qMu=Eb|8X*!YB$uzOdvXlYa)42r2I*`-olC1}0*S?KL--5HiEFg+g;Q%%iIur|(k
zA*1X1!2bIC=A*^2R~nGV%C5|#iajfE@!oqFj#Pd2Q_r2S(~Tn9-g`;h>|&6rb5&9*
zU+MmlCAedUXfgLDAHxRa5AGTpz$*aHD<Pz~%-64kli!g!k*V6EHK$h=(h~J=kjEY3
z0K=CE5{EFGlGbdvM7*v+5&z1-fQpTM<t}#=RwEbkL%4XN%H`H%7QAYug-wLtRnZJL
zS?Y_^M%aSm69qUfVX%(vmpd<h3e?<B?UxWoyC<0q4Uco@_{I6U?a|Q~p3#Y#Bi(mn
z-#GHkuL&(Eaj_BZjVDli)RpWXrq(mRG+BNT_Hh21ox{+UUIydV%#tOG4dmJGy`a>e
z?Hvi*MhOI*p|6`6Q8tk%Ei67T5HwNgdMg)-wPmHcau6D==~1(`g*TN&Icdd+enh9w
zM;Xe_*m-682K9E?(2E=cjmga_7Hk}@2T&bBnsst{Gn?~={MCZW7>hAnW|F(p${}+`
z<7uF8qtBCW-U^GiJ$)CuuzaS@K&KQdH(*GDHaxgksW{@z=49)~vi3^|-im)F_{7e^
zk+n`P4l_R5p=FbK<B;njH+{fNfllen=LrJM`?om1ce)ty<7aF49eYqfQFg$g1UJtW
z#UynFmZ3-B1Ow}@Pr9<asRR*;4Xhf3hcp_@0_ybv<s7<5X0`6x$?KLD6UyoRDLH}m
zVq>S|N4WuqkNd~czBfMJ-N@nl<IyGIko(T@knQAjO3sDsIr*CWIxDlTwG&gNGeTs3
zMF{8x$*}Pny}!hnt~2I?#`)9C9D9wsMz*gA7Sad$8ZVC3+E5_^avtoE5qN4BxWkHg
ztbT*exAlBb(!!u`Z>de5??0YA^UmY?#_Z{4Sk|TWfgtf>Q`Q+khlex0Q6x+xB7bUg
z(h~7qEaI7hu>n0eokBIE=2z^?LFKbZQT(RAViZURQ904RD%ggWn=6(q{O%*FDtm?|
z8DEJ|j#`#gxzM;Zm0>E2sw-YyZ>6J?Q+J>;63?_S0{XJwvD=fnvU!+~!LLrlI5N$V
zs|AG906ym01KM5vA(i*v$nDOPIuA$s=5y#oNGVpq@^8MRhbdCdX3mQHvlXw`2?W4%
zyJKOBnszpgWS2X@JwIU3(Z>^J%OWWm+Uj?>330gs2xMeTyZsbtCHeK)(Q1HxLwVr`
z>R<j-He%LWor^5dea`3wMY2%Jq<})<tDG9gRYWa`T?1DZq6(tXV4N?y7rF~Cnf3L}
z0nLtvlqBKH4qaF-OREL>QRjv+oQ-+F099D{m@3O#dFZeVdI4VG>g+YVE9!;udB-OY
zXR|0>O%8(Ty1p@SpiQf&zHrQ$))fN{|IJ93ktZD(4u}f22!whBZ~j6XRIRh2rQb{F
z`hP}L^i@uKaCS7nXUk*UR!dgM^TR}6|EOD%oMssr3tJFrvrLuyg$}SA`1|#;LrKi9
z=<S?d%C~%TcAw*oEzvrKCMfo=;0$9Kk`e^SCjKb(cqaT9OK6R#)9J!IEZ>pFioWd)
zaIf%ZA(VXMic>fAVHDz=`7TBT=}R{2P&UnROz4@pdY}G^j+eN&{EC}n96=~$X`ph?
z{U%pSo8>Kp<D%;O6*gdNX#&5Qh8`n*KC$Q4_qGbyKt^zsK5J3roKGPf8(&<pN(0v#
zoW?DkM($+w2PvrJ8DFxr+Z`$;9Jt)>3Jlb^Adfe$#{77dEX)e{;E6WJ5l6J)bN|$|
zWme8!XMmNM;7CrI!q=~$UVDWTBx@=++4uZmI@$E3Z>?$OpG9F_A5j5qYaaI-x(}fT
zMWqg8&+`keI!N>wpLeTCc4AT}0j3DZ>6H;3MUN7K>hbOGP_pj^KK^cgNYNpur6y%#
zifF};th$XV{gyGv&ZDL5cerq{g~LVvyJgvcsPPFOY&ja_0jTmGmwuJftXzeOmORdf
z?>GF>dPIIR26am4okaeeV_Rl0sVU2X+cB%;9fh1)5l|QlCR=2Nnw@k%qusHbO@G%3
z*8S>N1Pj=|0(yZ44q_rA7JGdCT(OeGqs(zP;L3kQKcoQm1yso?q&%{f?iWPwvkP9C
zId(gHy`)3~Ht}NPdf)iY=`<pUN~<4CC83nJOe+`-L>moz!)7YAEq~m?lTwdFL9ESk
z>duBLXH)G-$<Q~)j8$FRef3lrQzih+J<YPn4?%BFT2|jQC;KTCl}v8t*Z*iJLeM$n
zvTE29=t$r?Xd<COcV8e|gr#-&%8YnGH*$%l@_IxP;zw2*-{`Nt9iVx=XjVHuiR+}_
zHecWXOHy9(hoa&58hJe+*wskF1^$7XDs4qwwUL?EdA2&Z@c?6EIkJ+5MNr6IjcveG
zh0&byS}T=%8y10*lN~ZWs2n~<1@>Rg2R62>nJ+qL2tmaI1N#mYUr-me)?;I>jpH*W
z=n-}J-EK@zON%C76jH6i3^l{ManVRMY-6yi=?AFtE!$!nN#f(Vy{TI}Sj72)w7}ak
zRdWGffW{b)t}v<bSX|ujrfthgK!*#hrf>Aw%|mjldG^M0T59#G53}mpWw+hKITDMb
zfwM@7z+;~(GIea*Zk4n8<Oh$6t<BWCt!3ogvh88-o8x=@fKoOj@sm(W0W~9%cFPsU
z^`IbZ1=QPg&C2vz1E_>q_bGTUGPzpbgws=n`6b3oQ$~Lemt0FY;ucMwoHn<hqE)>w
z`4#_q9QPL7c9A4eh{%d7F8e;hE6vO)L1A@trJQD`<a79D5QKl8!q*4(Y106O{CHOg
zHPj4QCy9<1+mn4=Z^pK6c@lV+-mhq<k~1K3@mcg{e|>1afYCtc`CxwqwtiTn5(q<u
zjSt7te8WS3Vy$?S{tT`Yq8HFwNcdS)=zgm1li5^y6*wO8>NetmS5h@C6(ox#MU)?t
zAv3X~CrjC1?JSs~X2nC?!h*LCaO8UMYPNt|D=We|S1$bXPv<+**>W_IPg{+vBS}L9
z569hpU?(71Zd}jEm6bSmcQ%k}?qI7u;07;JQZoR})lb{Jfw!fwf6KX~O$KdZ5LF>(
z5S6m^*?uC<B<lJMKApA80zf@9G&HZ*hrR2Asr;dny^*Bu;_|j3;N)Ps5CcGq(Hr)K
zGx6In;<&xs%st#L*$$45f^^$`yns`u!|A~WX+6C!rr=a2u2Y_~mTpOgR;AKpP=LgA
zU_@-};GDPZey?S_^u}4Q=e^MnV}YVemD+#n4NT@Dz7O@^td}*J4CFYyn?8(BjA3wK
z2MvW}4%g-yW7{!OML0jnR$OYKFVetf%`B*MnmMlxli#On76%L&SjM$J{OVvQ!h_HW
z#_7t@XWB=G1t;$0C{dnQII_Dm&Eh*@S~C1qPW~w&&r5+gJ2~f5zHre(yP{^e5m78H
zsbY9suxiEd@Qwmq_B?AH`N!nHzi-C>u#K?`XaGQwnJv|oF5GI?+ZeBR__bVtdBX8I
zA{VMnuTGoKs!Yd-0Mr>mNAp?R@Vn5m0xu$Ra-YiE9;x9_iM9bC>HL!FasU<%&VVo~
zUk_;%uK{mebu~+=hB^*R9~4l_vA;(Q-#o97v@|+W3U4bd06RN98&BGHce**Y{z@VO
z^EA0Sg~hW3DCA0Fh%?$f{Uo0{Z=6f{pQVo=ypnTSliyG+-80uQQP*<oPX_Q_!i+#p
ztt=Zq(dlHm{_0A|l|@*}BB~}R=c1JjM`GM;OirUN>~{<ZGtnAYW|yIq0Yq)9=iP1?
zLmLFO4aV)&mEqxZ;b+Y-8vuqE8XBrrWfWqsEhU8%9UTp*2im{$S9v+Z82=OP7~dTM
z1OV7{b9ZO5oTasCe{sqDD#!P7J;e)rW{RpyO2VtEn78I09v<!=9sq>zT(3fA^8LaK
zuglvP{*1=JMnqR=^a7C+^<*KjEv-gy_d;~Ed{&PLEc))2_>oE^Wjt0?;*k?z&35Zn
z+{GBORoojec>V!}akS>Y&)f}Bl)SxP9(<NXj;)nw#reCYmOev`&yucLtvx~4LF)M@
zf7yeC;k@Zx%Oa(YXOIx>#Z-m$C-UcqYh{nVtQw8OW)LiwO%PO$0uZ3)tat>3gh@QE
z^Z?G6v8)|1`GL_<<BhHWlc#q`s`Vmk?3e4uqw;D1Yj}IMHdd&ZzdxP@?Rj@f#>_m~
zFq-+@KR7&mdrDT|12vSgxjEI&&JJ*+BLIB89AO#DR8T)<zwN`fJ>N~SO)gCoBr6LG
zh&-fzbD`yZq!;}FT3*<5hPd>ox7;5(6vKGlS&R|=Q){SZMTwTSG_g8N=-E7^QqmQ}
z90NA4rXdNyTEgITKK<QG<usHw8f977?QQsGHSIi5bg;wsOVy*t-uI_%4J@B6;d7Ys
z0bF<#*HV1)$x${vi)McAW=s0v?DbuEc8Vp=YpIvLJXcNw&c7NDx`&-TaXPNf%I6h=
z!L`UAx_y+1&?fzeii!V99f6u?skT;FrTRF|=k?j$iJK5W{E{EFwzT~G`Lm({SVEe5
zPo}1(BBFFPRA<;BWceSy0f_3J?r#55&3b0<N2kfj$@~4BDB5&a0PHK3qQdoS5%igw
z<ZyEFLo=?kCz8B>*L-c~<=wAOH`cyg>bDfBY$$Sv$7W($YmARSVA0UGMHBUGn_RDV
zI_)RSoVl4V5x7#5J0D5&)!g?vK@NtZX?B&hd*uzD``d@&7V`8_C-*Uk$z7IbZdmHc
zh|k_GAAB>k{TA~!y$?4DB#5IZxw%|B`d4FZ%3k(QXNmnc#D}iQ;w)vORhwe3L?x-l
z|K0VX&rDgJT{iO)IG?Q&)@qCzM)CClzV4rv<}ND*fPuq~0tzHq-l~70)n9K!`>s&>
zNwDI5=rw+B^$_qaUyYh=%Vx`z{EJPR-Mx=CN#qM8y{<<+!KWlG);QwwK(31IFmF#D
z?~6iV_l@re&-9Zj-a27V_$!B@X^w%<<oEO_-SB+RlP)D?6l{VmyG|wuC_;L@a;My4
zO<kc>&q;6=H2ooC>Pge&>J20kEFa#A`#4cnixr<S8REnd%Mqw-H%|vzIfdQ2qOy{N
zwEOz=Sa>*6OKU6L>DI}K_sj{yivTGpG%+!8tTlZ*j2j48|7tYo@?|r~Sy`_=(j!0B
zswm{@pCyQRpnU8t&%t(|rT-aBO&~M0Zl};Ywi&~YKrmzRL)6JYZ%?mlsg`UxpKfKz
z{mO2Qvc`i?{evih#F*Yo$hQPS@m#r_#y(t)GGEm2ty6lmxT71XRptz=!hXE#XV9a8
zi*dP$s!K0ne~uQ)dconJ{3%YY6GOY2lV3wNpImPJ&37)j<pO0=LbJSx7boL^1~SB?
zggXfKAZ|5ZmYDzT*)cO)v8laXKrv6Muu9Rx-ku2n<+GO^E!8uuG`n&f#Jw&%j$IsA
zk3nH2?k(0?TTW8FNVLD);@_=$GVG0I^slVEBs&jl`(&%oBHy~(Z(C-3k@exdWP)QS
z+zA;=OtPN)2TNQMzkA91M--Oq4~z#oHvW$>I{_#!KC>OW1(9)JN6BcriiRp4%M)Y4
zmwU9qHYtF((?e3g1b>}HDdmhK>;*(yqUfP??e3ts#NvAI4bxmhUV9IPYWo&=JWPMl
zxR`RMSv9R&)I@(%+(cvn@*}d*4!PX_PLZ$2d!k`jT*KDZ-rHorEHNgZyC9^{Nqxym
z5%Gj#$7$%oiwb(cw<<1JmFAiZI?M)O*!FAQcW78xq8a?&_uH|ul+@IlesDw(>#Lq;
zAnj(C_izTmdo!(wgvT0;D)9Ulh<BI$#J&}lbMye00sfaz*7`wy#;(BI18N$#Gc!uc
z`q7c)@qHUWCfMBC!euu42nK`SNd>0q?twrMY}U}12!4!9i0eHNrgAzW4xB=@q@rzl
zCH^O*rnq@Pi!Q6GbE;TdWo&jPgA|OE=lGX{aIu!0HIvR2`7}hPd{4-S3Eq@N-S?4I
z5|xm&zNe+z*^zC!o>cd?9lmxlP(b!{r+dq>M0-;CV4|Am4x-tShNq<7wE|S{iL_C+
zVs`dPP_Gz;GL3s;bj#-&mX2)k$|#X+GgDp4{=(pzt^~R5JM8WAW*9>_wC9f>KQ0$c
zGtdYLkvrBq{o#?2jAl#J`~FLPXv$j*2<ER^?^dfhD}Y>x<vrQ)eS7t~nNj`o=MO{$
z5c$*HHsR6H(E*|aDJ5mF=V@aQpmF8qj5wgtqtPgVh$XnaPXBDX;G|;3-PJCjYg3g5
z{F2u(N$8yrXm^f$rRP)*zJ|Xbogaoah2t@#5d*fwwo|oS(zyDo3`358%CN08Ce_Hb
za#-Nh!-!>09Q|u?=eHb7%ZvzkRfs4IkN{05l{(h4mD{%DCqwM%yK#wZ8sO`(vnQx{
zCM%56TS+A5Oj)rn)Hl}34Qlx){}m*&*unEdSg%*qT|YeN8gCZZxP&Yr0|u4Z<X1Gk
z;*_QV%Jr2J3k-D0^z>x#($bPEruL~kM24lu#EShJ-J7SFukLk^gB=<+8mXRm$Rby3
zZ)dcc%k$CBc}wZ_gN@D&Mq_fQO5-ki!DAyq`(~=e4>zaYPJI}cy66I>Hp(&_d`VRw
zq%;$jz!<Vj*+vsOppM}L(jc%lT2&t(duo20$3OMz`tz-F&G4h)wB$j(jD(*9=$~t@
z9E|Tfz}Khff_6`{4V=m{Fxo0*JI4=Rw;8<s$$b6liRP;UVn=!#nYB0wg9-yh=DvmU
zK3QJqJdm28n8v}27GJ06K^JGj^rB*RlH$cZxqs>1iYv+Atvx4aK!_&<-u7))R<vnt
zsa_}UU@QuU7CpGvKwHQu$<9vdtK<{f@DOJzxBuT!3E?))nz7K|VAyx^=v#SAvQLAd
zo<KifczP*NpawSc4fL!&uKaGjus-?yXn<G_R2}sNe|o~Nthjsv$(}GcHEr}8AZcKW
zPz`PLg!EL0oHU4*SQB%M;YRB$#r+UER`Zs(kLbZ^xVtmB0{!$2g{_s!N;(L$_y|;V
zve^|@a9q7%7qe$f?|lt&5uiSC{0ueI?U=q*m*R0X+Z?7|y+QfKPohT31F`<6c`9|g
zX$xN}?g~%bDjMV;xBAYNiOzdOwVWw?c8-iz(<!xhyWcncvRU;)nU@Y$z0aCwnc6g}
z=#JG5&Z7+5mJ;~empaaD34$L!O%^!>fAa)k=+nRK?-Bj>Z=$ilXTZc3j_u6s&J>6$
zd;Yjs6%iLt+Xen>?V|%=Z(@P1ojqC@>ZeG^XYYGLaQ@C^M@PM%2`izrv-kk|-1ovi
zt1D1A=!6pWa>QOsP1$W;U-z>WWYStYBD+o1+W7pc)!pOj>KM<miXSSGKfmTpG$hLs
zJ04sTb#T7f@rSoU#tRJ+o7P?0cM0_M(@GO>ndoZ^n*|FhYbX4k+j%DNI+)Aj(AMJF
zI9eB`Nf|;p(-7ubNWMy?m)O=@rAOI2G5$4-1`&$rv^=$y3ABlTD!9N=dF1SFXzp&x
z)rccK{r(*XPbLR1FPsP^XUQS9Y0w=U@iE)*7sV+!Q5vRnCORQy%#Y=ugwHDmSxhE-
z;_wI{tgX6289wtU7EN6qr)SK^dk?)AdI{P9irk^lzXhF)Z@Fn|m^6lQ?+fp=wHy_7
ze;@VSo?@o>S1Lo&R{!)E!5Oumndr`Cp@KW72P3u@wgBilAfLkPtDi(LUKQrA8W$|$
z5}mA*kRuEU5enT!&qjS;bs7~Paa;-pqiQ;;q~0L(pG|)icP?l@6y2Vj{9}36@gmUX
zjEU{EF81y0TzFQ9gP|U_z$>7i`=M=*J0rUD1NBagyV;3iypr&iod^>XbK~%E@fr3O
zQ%Fl&Mg<bybL`VB>91KGdO9mgUXsJPQ^Uezeif!RWpm39Ws$exkx0gZdtbV|_(IHp
zeuscAIcj*8Rz4|d`(J4DgAy*EQ00CZxuRO$-XZC%jTR0k7<L4*HG+k{=BGJGy@Nnu
zdEd+0MymmhzQ7V=B!|L(#LA_W;A@9TA>|L|S?JEE)P{=A$7loCns428z0K~giO42P
zY$=t6Ma3XKU41rKGN+?$VJ$11==XGai4d-NX!xfn86G&-xVmy12~n1qoP;9G7FOEm
zkM2h@Ze-cB*AQ>6{D}VQX*}b?YIkQ%Q#>I>tJ<dI%dg13sBiKb0GlR6=9o{~LxFt4
z&?EEJ8w0QOVdn#h$P1?%Z-jq8%^seUQ=Orj)5n*u{_u!al4_aQ+E!j}EtW{I{*VDe
zoqmYsQVTE0Ade&%4JBap6(PNNq47N*I?i`{KK1kBwrs5(M$7J{rk$v;dm;H;CSasB
zcZ-7B_rYm5`ka6NhP#j9C8RDLJx>Ir5k3u&BPCOI&oaL>|HTh<u6`%?&=9oz1@m~$
zUbOQaRmd;endbil2qJj6@2nh5|5dArL`&%e_l#$M|JGzpSl9kKIa4hS0{;NfV2{l4
z6b5!Y{{;izNtCBpm**xU0RXnrFO+RxN5iJ6HEnDXM&{w)WmWl^523o(qLwv#4wUy!
z(g}XPz4c<nqq|!sviy%eu#a3pM}_O_%F%MXQmP$kCh~sOK#969CTf(5$PH4>e}siq
z-A1%uVm!-wI}##>?^gU{H_UcckFjH0EJzI?GyVAxl7u}#OZm0V8QU`PD<0ar49t%!
zrt|G5oPMv?`)WnK8)l2Ot`_jQy73iX??hS$tMnH5kFBgiEb)btWQ?^ea;WZz(cei>
zacy44^boOcj@9urXhLe2N1JJ8H{7R41Xd>sBBVeQDfq{}mBQ!2{;81Qli-}{_jwS~
z`d&O&&2WeL8kt@r&#`Q_oP7b%RYgd1coO|iwP1Ax_z;0PH5`i&((kZB6JjL@0DHL`
zuCPN8oi~O|E2ihBU)DIpJBtM>6mY!{Ucpm^_!|XjVrTtL?SCpj(H{6xoEwbhm-f!t
zfca0EFR$$Z07|gYSD^;rCkUyXKTW)F&M!I`_Je2XMb(l3!WLd-fNp7SZb6)8|83QO
z4{BR(CQQ>Aiz8yjv6TcG2Ejl2GN+Pghkez8imRbXJzOjnrY6+B3R8Wgap1}9vd@TV
zr5Kx>81-LQq<3Cj%V)YFj`2}e{qIhjUBve6sRQ@>S4iN6AN4!)5jmjGuVEgDtOx&_
zNOLxgy1tB_xuuA|kvag6;G=zjfBw`U6)j1bm>4iqB|iZQuXG26ZYk7yA;o5iR>-HW
znD%<2t_d0GH+DWi)CzP!9cr=PZQIo3S{^t<;9}rWuX-tp0Ze@(-hnC^Ua)srXT$Tg
zsp#Hy%2HIGnx$pcbZy_XZvoRyaTT!R4N%N<TiJ<!4ZbBDnEf%c0<146GJ~`t9<{7U
z1sIYV03jer4(@pwG|Dx>U}>SDj`uo3n3(svnKJ>l<WOC3-YpetK-QQf`LFsJgD5~>
zeZ}s3=g{?F-4gSN>9~{l^MQz!B>~cLF!}oAvyY`IZO)hc;0f2BfoC5!l9wV8KDm7)
zli}1@IC~{PyX*;5>ZM$1GmDGHbvU!9iU1)fnB1f@aoFC;MbAsi6;KSo)7lH-$mG~h
z!s8!b1O>zXcg=47+q1O0Iv46Hf#JLRs8Y^aE@XH|f^Bpf3Xb3XNAN!yAALsX4^<s-
zAlH)F)`o~vkP9>6=uOP<uj~X&kE>o6T^fGP3S__@ulTzwSLTYo2Xg(*!Yq+}pNsKC
z*_Yr>h*)BLi~rsbED$fDV-EzD?svQU@A1D89K*QmC<E37WxZOofwz9zL_oYF>Recj
z^dtEW7y|33ceTqC`^qyBj@D3-zEA6>L`Laq;HsXUgjNY)tjHq9Cs2R@6|67eUC*`|
zBRg>7TuI-{2OxOCsrk8b{^Wh-kO)?Nv^O~xxGMr8g!U4x*Cf=WBvk(Af(+B*k(fu4
z(shbU)4myEk}m~uDtNlR3If!|EJqELbim8?*V<}70dzDm-88fR<oL&Aizos5?dfl{
zeVriqF6n&Pjo2WUZpV0t{JZhm2b=_f<>a*b*6UhJ-)T|rn%sPSv|zLF)U@$7`1kH&
zTKW%lIh;$}lihRxK{nXqzgdw;Ob?;wi*<iX5;nKT<>2F01Na_YLsqP?vBtZ{(m+?y
z=8jm_Bf8oiZ8YlL*!-{rtUGEWSfHPr-q*L_Va(5#KWTrGF4q#?O4I_&$<4c4jCRyB
zfPduAT=c9k`~LeBG0M?Dm#IYQ&MQJc%whUII#^Z^o=e%htfwspH>{h+J9WpH-Gp3D
zO=qaVg%1#-K<xdpZ2F9~vCOH91B^AO^JQq^O1g18Y<WrMy^I1#$*ZRwBJ<IhoREe>
zLioX`FLysJi$_~29A9UM-zO1cPqA8@H~RbBxl2P6r`mt7SY4~Z_3!L(e0c(#Kwj1;
z_xdxKrXyB2wvAc+ZmYPR<>}<XWQm(|!Lk23<hq?Iu<q5Gl8%~;<Q2wIKx3rMIq0ya
z?3SeM8gC-)Z#n?cp}~0rpH#>%D5+~&b9r*2c?x5ud3=~EG-V|G3jK~V9y^3?;oMwP
zK6PCR!*IJ#YnGZ_A-smcHLW^q={vkXE>`xsm{{RubLX^etsbCe`$#gflaSzW{OtbK
z+p9u#uzYp*=c+QKptwF&%B~IE`t&P{NmR3Y)A>Z7?-usqaDd~2m2L~7D+7l|RAlbm
z{?9g#N3qX7l`Y`I#*GWK<!hzx2>NAfLDTd%dxwZSN$!6mL+VG6IChRmC^EOsTI!>z
z$@M8Edwt9mwjaSExMsB;Ns)Q{1DI^tu*;FkUYu<i&1rYU?S6a02LDVsZR*ly@&cl%
zEDrwwa6`e>2d`D%^I>XY-^Y~xbHp3tcX3^|n&aZlAof|B;B4u<qWcAWenI0${&iw(
zlsV+`rc7$*SL+FB6;GXa4CTpN>pAy?n;ER68yp-k9OR(kYRljB0#tZ)9o}EoxE2ZW
zoUe33g;;?L(&Uqae7@{dNPoGvId!)|5_q)@`7eIexSYX<O0q4_x6@qRsyE}w&*9~w
zzIXV=fzJHx?X8HIShZn)WU-BaDVU(EtE-~EJ|Ado(`q+OZ`%XbU|HT87!`$zf`S74
z!vOo|2J^)+FnG7D`LwII_y3V~)?rmX;hQG}L|UYzM7p~h1q7tKLAs^8M7osjl<sbj
z7Lb-M>CQvv&hfjy-My~;mpEtMnR#dCd7k_J3<5VdH;Km%*$Whu{rjf6XOHO%lXhaH
zPFlpILics7A7KwP>J#II%li8y28fxbmb@H>+VzJTnD4uqSGZ#x4v2uq@iEZB$@6Wd
z&?BQvhpz0}k#bxj=hDbx$@XCmO~==&t8-vb2WOhnWp5&GYNW0-c<A&ux*#chyobo=
z%cl12S9FYI2zrKugcyL_y0NLL)}jvpJ1pAw6APS=y@PTRkg=&)47;A86Bi%kLO`11
z6h!!}Mt!ItU12d*j6*IN^`o}df$O;Cs5!hl7^B8=iY|dcvkQ2`-OtA*_wRPOWFDw5
zVgH^a7#UM#a(j9m9t^|uEMf*m4(5wmVJ9#?T40x@9TK=}|J$#1wjeh+!pz4g&Etdd
zA<b&X{(HI6LTle8NmfCk<&A(q8UefM-<_RbAiH8<e+TLVaf-PTr}vQ2$tFj$$A@Fz
z$r>~H_Ukp2tQ_aPSb3q<cy+y1kR<*A(#rSX&(io^qYzMVVLqSlC?+uLkGQUQOM-+w
z6g>eM72b{(e*C-G<aqHAmzs|LT@;4mNXX*!v_}_bpE&KnVrHPAbI(!{6>Jz^WG2Ud
zdpw#Aa%vrUSU!8v)@hA(ArhpHsj7gt7b#<?MJ8p&JT^y}q+~<?g2SaRj}^`0jb*tW
ze7r=i;nmR+m=UTO3Plu5Oi_S0p}A<bP;Ub`1QA5M6OG<VN-qKKfoh?#x%nkAvCX0>
z_+?{L6UaQ7EK)Hsq30<{d3m+=LK5QRzh`FJRfoJ-7PWz8sF#BUDqMv)b?fS~N~Siw
z(XAVP^U0BbkdecGI}%$BZjVu}f`e;TMA~xNpZ||G@uQ$X8%mpaC|=ONeX6UsSeQP?
zYmv_D>h8`RgtUX?7HH6GJYnG`_Pv*q+hI}DdE$Ahw#rHxryBGGPle;xXS<pJV3OhU
zIpp8YU^+GZOxpRi?MY;n3vCYiz|RcetQJZK*p2m=n3zw%ZdVw8e;|f#C;LO$K-)_|
zw-mZ@vJtXl{4IBR`$tpjTWYumnu^VQZD(I!5XiE|UJwuvxOsYNFZM4i-2LxnHdRly
zsFhIi^S2B_=I7>C*VaCP9_dBEDU-h}D<*mQ7dR@#Zz$1}Vk?2A+gvF1o)~6SkOy@^
zEZrV#y0@yxBH8Tvk9Ad_7CY|lsT}yGVke6tt<XpM{$!REeN<Gg@Ru%An=Dah2I(v#
zor0Nt%^FiQz>UDY3XP29oFg%qDpu_~4EXW|a4xv!sDy<xudm(Kxxim+Y;9G0UfHg5
zS<RG-SIl4&Gr9^+sr2oJeV(80i0thrPA4|s+%pIMCn7mgX|fAz^fpgKLp$c~5#(_V
z<9J+qHsMquJ)gojhpIx}!Yfz%`C1DvKw-E)pOhyO^oRqw#k8E9w<K<VVPTHiuJrQd
zGi?_iiwZJ6-JETDU9ScMfXE4${m=wt{>Nmv|2F{{j?1_P(sa-&-SzD)8+gfK_*{>E
z7b@nuZG4vmd<rD(dTYbMINC*@yF>67(^ty2E^-I5aBqI7BZWr?zgI0~re&byWG(C5
zdpQNUaNV!0QarmRe+O0>Fo^oZvq92D8=>VBiN&DlBF+mo4X2$*q$l%M6<7es0!Sqq
z?Osh)%I*#hY!(*r9bfM*4~GusYLa;!sX*!UcRGI}cu~jdtkl=Jm|IWapm>*YNzyz3
zSb2quTkUn@aBxV^EcE~?r(XjDS*>ST`XUJ4Jv}~v4>0u>UNW^9`V!`^(Q=N`J2~1K
zZ@H6>1OLGmY-#CgOw^oQp1!m1k8a>3&<?+Jf9D{I`mj?+*Mv#~ljv=!HYzMvl%LiT
z;Q6;&-p0N~!g;rhb!y@{Gd$M^{`ELoWgf>ZR1*`Ep8oz+9T)8mAHf>aVYa!)1Z~?@
z&~I_^@%B4oWS})hXN@4^Th_4rR!}e<fOFI;^khGL2pQlaAtCvlA(;B*3*6b+85kzg
z&khd74coJ6>AW$62?+dP<3BlYjn1vFxbHg_q>I72LX#+%gxoznaxGkC%-9*m`=FDS
zdgqE-9tzQ<sowIIPK;W7gK*+Fnw9pBhz|dd+>8<?dmVcbEVs5h5mxCES%MK?$h)gT
zR=gS8-%j?X72p$Gx3{q~9X~6>0d2yL5DgKqz=4CVfjx=vW^X&}{8>t!4#*Gm#Oe!K
z-_IAk>m7b(L`p38dseUS!fx?gXl}O&cSIdhWF)k3TYtJzj&~e}a=0{Z{7~_fY?jti
zL7U9&NPH#0pOX4yM*}e}uW{iO3kes}sSW)uDCWKu1bfeH)dKd}I*?jZk+D@1iuLU1
zIh>?s`<rimyNoYxp-9l8c3^fC96sA}`K|YX?*bLk;0D8rK}Zir5)X;5|7%j2-Tq8a
zeWI>QZCwqgpniqSwzhUI1QyuJ2B*f2+qAJsd<-sH(<9niNXPA0OBom{K^vaGA+Pwh
z0ckov+6iWp2_+e-c@xqH&iRG)YhPaaxVdu)w+ggqEtFWRI+4DTTPu$(eR8yl9C0@2
z#tNdhE3%Jl3zAe&QW+ez`*R<&a*<X+JC>)u=zcRCXGh>H$$-(u6Q%mZ=8J(Qy?-TY
zUIk9;F%7wzjy(D|`A_xc)Xc&hUkJT|A!cE_q?wmovaUIo2@*$BuV5PgGfzS8F=9gr
zX7=a#Ro*4~Wb^RML6*)}_BPyRfQoyv&KDmdd=s1&v53eEHe$iZid3uAz9kP;ty06Q
zV)$B&Q?g$b(Brb0PAy1*aBOPXnsfgI$8xQ2xOA{8sK0sF9y?*u1e5zNDO)Pq-*F!3
z`!<SddxKMRUtM!a=Liz!pW&73W=@1m`G@bB*utw#l0ob@b;AEv=A7X>IaZ2dY}hEh
zG}@8IOZ1#^AQb8{NgJ@NPi%hOm3hqcchnV6qb0&}h$psp;K6KXSr7(~+Vc#hBqLMt
z`S|DdYj5m#Iee!dP9j?!J_KD`gh69s6#@n)J=G-rUhbWb$CdYcMWi>M9|#3Jk1>~h
zTtn@>lS}S-Dti_t18?+&K2_Upk)|ed3NIV$T1UU>;`hLQeIRcB4KITPr@MCX+IQt!
zyspN!bKtYOJas(Zt}kuR(JW;=?Ofxe5$t^0<8V@=r*CfN>s_eoB{2;}^}Zr{Vjax9
zt}6=@x57B<uv1fOT7h8nv)a3T9cXTE@YdMA;N+Apv*>TCt<_NqcMNgDpyXUwn&lMi
zVIQ*AmsuC4#hE4;D^;9ws9Mji>-!OtnI%@sg2YYz&AHuA6u!%C`+;(2Ge5_YmT9We
z*7Ge)|7g-vjOY3QE04ZO`%v@c-ya%?mq)V(+k`|*p#{e!H$0}nFGsWM>tGEI{+7?o
zHk+h6d+}FDM6E8Pv;O9zeMiH=35{X=O&_WQ@$w_L9z79Hy5&<#b>(8eCF*xA=$93q
zoucu}eTzwW_elw{U(TfZ{Em9BE~C4D@`E(*Xw{F8FXhe7&YmKFnBjGJ@at=tk~k(D
zu4*Vz^~bQ`;}Q-&aO-*w#+eXCS6Z)QiNH<O{g#^_2w#%;EZ=XAtRnjjL~L4FCiLhm
zH%~!q_FnQpH?h&7uTEUQ*UgOL%CU39b;vi6uS*@Nk8w0vBs#jHWIZU*sc@|DB~2?<
z#jSIGGvxI*Lu~L22hnLpyQQ)`ymRbKt;Cm-BbqG~_LRwx3QgsmVZ3fwyyesuG{5b8
zNh2PGhir}4Qv#lmg$Y5>yaMjt_SKW9cKLe7cAt)?5!w3yp4jxErdF?8*XJOH%n5={
zEisEak9sCyKj4H1(3OAjptx}Vv3ObaYWXr2!0T|l{@0gI1e!Z+)z|k`1O|Tn`l)_m
zb^vfgPM!#x%DFv>m?lq{^wdu>SjR_lu!K^kXHg&0C$&sKrd8PrK_Chhmg^_+cdK`)
z{<p-{lkx@F5#qHTn4}cuiyfU|=LFt)?O}MeL5MSajd_^wkL>^x=Y7rQ;cnMGb2&c6
zrTnDmr=@h_kVD*%wNJuF#~vMF5*3ss48d)@$oJ{ZQ3q!bXD#*5^uo<eL1Uc*ndovp
zZVR3{Dl|6~_PB)AF4MbBFj^%`ySvMQ=w<iFE@%BK<4D?hj3w;#Cl>?7+dkeL*XR-+
zsUxmD7FG}F@=DmyXI_;f{;;(;fcnYfS+-iqn7OfwC)r-?z?-T9S)@?!t*Fk3sKW@k
z3dxem+*-xYELS|~X%7S|wwT>*MsC|X4F{vLg*6_w7lg7-`$78^IFo!aNCB2Yo0^|G
zY5xp{&9eQlvDQsgwSs<?T)87(ik<#_JolDhe{2KB-x_9h!kHl_4q3nRTuX<uGa0vq
zu11q$C3pmPN-ushl<*niPsUFpAKM+@SWQHqb}e@#EpJjuT)#ij*@3@bDd(n{h}XFg
zm`cZ`s(KR|x5godoA*s6sVh#-b#jVx<2Lgzr{w_6u<1b41t?8ysVKhi*1p;>?HHdC
z=({a-n>JIe-Qw&Mq4WmWJZsI$*w)rh645)hAT44(F7#+YEc|;#PEC%i=4mcetzy0W
zr+?fIN2|9viTJ#dj<q({rlM=^$f$5j*h&mu%|n+E+u)ur%Q*2I(zTEU`hIo2WBxS*
zUrPVII(T?Yn0rn;BtSs>m@+mrpI1xs<nf6@`^h80SCF+@bcEYf0k8h?h5;f37UB`=
z@=QI97N)cxZAMnD2fDPAiH`Y&IZrBt{I2xs)a4Y1H)79WOrHow+gvZUM;45d8w?ui
zhAbS8GGD!0ArUp*U-2}A+nf)RDGilM_BwfZ9orv|=SjNn#Cb>GW*7bDC{u+uQBUD6
ztfiBrnKD5t_if}psrRO9?87Ty^(b4t(Q2t%OW*Dz?6BQmMg8fgNBsP8l(_GL)T<+?
z=g05Y#M&x{;XNkr8+LpCd}D3(Ig$4wT7>yEzM<K`VhE&tm~e$jQKn1x=@HH336FZ^
z2U@Oi)f&E5iBra)<d|m_QZaWsX287O!MWK?N2=d?sSr7`y|re3>UG$*WO3}Rx!;?|
z#E#ce`Bhh7CB~VPKeMb1O_x78b98A6%T--+eWr})4<}!F;g8C1_6-M9F<6T4eMdhd
zE}-}69==bO>pn^&pK*@byDYJMo@mLcBjBxkj1Cke&kZ>sWj7IxoGFre=|9VzCCk8K
zd3LEz?{-&`BKvKzZz<HEgR3+eSX$OCIOkn=gSr`(J~v9-!JO}sh-?MIJ?b<UNZjR_
zZBAa*V_10!DSCF0EcQEAJ-FNa#DsbLs41uC?jK+BQXNWUWTB(|Q|apX7GMS@+TUq!
z<cLwK;~^Od7hIh7&sE>4ltmK|WBI8SY^Sbp&)jNEtsd@v$&BVd_NsX)>)wqT&FW#m
zBiM4y3G4wSfuWM_T=}FfbT}n)=?2S9@zYFF8gJ4k0x_xnF}L#Xuhi((CmMO?O9=QI
z>5Y(F^OXI}(up9M7r_K>{rzdYiMrJNEeSGZAH!!ztiM5EozPA>+ii2U=6U$eCa<M{
zaveAt>}+(b4r2iFD^U75tjh0Wq|aRB;Xi=rAbi)aCLpCNhb{IHRT?6MKdkAYCgg2r
zgP7RN;H+Tb*Kqc5tOj{>EvabBW?4U4`?;NKM>)F`5FlmYgm%8QdE)P-YDyAfHHon|
z=%X4GbZx-#ZbA(75&L?Rz5>lFfrq~eAi4WKd}Hh2=XS-Cbfvu28g`8P`8ux-4UOq%
zV<f9Ys$y_Pd~Rq8jPp7lh72`U6yna5#X=A__x}BhSfxH8^j~gE5aQzZlR8de&@HtQ
z-6b?z-W&Sg7rqjM!I>P_X}`bByeYI%6>xgTu?Gi2Ke0cg+iI6ymwUrbCs)S({_L$M
z9UZJXG?M8R+cUfi0MfCz#vRt>P&WW~VqDOoIs1f?ap2?{@Q3e*4XW?eU5uSao2ps=
zAHr9rGRkDol?0dZ#uO*o%Z)jf>T;_<zX7`4Xnoy%;{GBBYcsx&wt<&$))mnGkz|yS
zrgNo^k-RlmBe{KOgLVB)RZz;q>f}%xO2bVgo6q6)4%$x}A0vW8_Fs*UdGMr38ONXW
z>21(Pw{7>k!qZ7PeU`Ki5k*L^j;>uRi1w|w284N4<CJoZv_XlO?0tL!!%}})>@AD+
z2eav4jVfY)_!HGGVQAuCtlb8wH7zmvzz@Tz2CLz~pOz2Ks^vO1&+}pJeG(e%hz_6@
zQt_6wLMjMbWtleqbAZ7VuOwbrb919JHPTp|9;weiJ3F(}I1SRg&lU6Rd}n{ka$l}x
z-yun7z086A=)TV!TXBKwBg1@m$~w<m&#Jkd?b6#3kFhXvOkVZZDRQKVi#?+*`IKtE
z*m1_-tF{@CmsV2Pct?&TswNEgFveQd$}5B64%r$pFcd-&zi5^(zAV7(*u(UebS`Kq
zLkqo&q1`7`=tp=_QZ=FQf-$`$9RA7UzFPFtm5Shp(uuC?k`7YgpV+#$6I1o1Pd_MN
zSXc*1(?$E4&2VR=B4<)^`X)!<^@HoZ+}F4{ZqN95x9cnk)(B+PXTEs|s@r@ha3bqb
z^}ea#HSnW;bPNZXj2ulC0t&9mt$-dM`_JrrZ5gynw}dlg1B)ZF+8JxsQWCleT6y3F
zE3tBGs^AjS{er)T)2&dEWMyZK0G;cN#c992US4KUm72XNYtu2|drelZtUDa6Q9M(9
zb+75+Uf(ZkBVV3hi(YJXZ<=-=KtTNjQ_7tUnfibd4~6S_n4rVRw=$N2>@(u=v3@X!
zDtmvCffT(CI0!vgq}1JVcS_#otv4mLkV*zV*iN}3k!<cHh8zM`4UPA?YmKA+-6c%l
zlvTPKFLggJZjZfL=jPmG&3XL=I$P?zo+^Z)A?Ni{KzUmgX3jF>qVrd^OUs}juti5g
zi$U+}tW)sheO$=6d;V2QpZ^V4)dn+KfHlY7Wy0119JR=b506I^Rt+k)@)f^>riI{E
zsN`-MNb_Y2W$+Xcfdw}l%CS|<qu;)|yI64?H?Lh3W<_*vA88CRmAh5tq$`_1>jTw+
zVXz_{op-=SF83K*jJ!7TWdd3Ekk^_mk2EACWjk~45U*c#&ASlGl66$ZW$U$->Pr9j
z$>f>7b*}?p^96(s<_S^A_Liy{CC&33vZ5s$>trm(p>4E$-$5VxppA`;YW_|^kpP@G
zwOS|)(HscIEaNtzwFy$~F+$YEBkqKAIJ5N$%-557+*UKt)ko1tU#=qQr!#OE*Evv%
zg{&!|NkT>@=BDtd<I}+wT=nnc51>`h(B1dvXr1G8%k!Jh$Je~wtr?{QzYJtM&@O91
z|EPTEH}^K6V!0hef-`#<CgXBK>H4d<M3!>hAE2Gk4;p_-aK0tOshbjIy1mG_VZ6b1
z-KS@&JpRjxgE8*B#1ivG+l`XfSb#XvOM69rOifIwQ&EhP3p>k?55=#caNr*2y9Zws
z#f1fjr(rgw8UQivyd4Hrmkfg08E^*q06mw?*sQA40|?vZbQK#S;GC)zj(_|1UEEdQ
zj!2cxDsgfR2qwh9Nse@89jvpJ?a=uaf_pqU3}6|r1Zc}t&_Fs<)y0L&b;%hIU^PL8
z@^tJShN6as+myGoj7+kCI~x$H_6-b#O2twEwX<QhEXehMjCt?)`1g97g)@+k&7HE0
zjIPk{APE#RtOp6mnIXul9LgpKa9qrILP(bzeOeNNvck50=&J^N7Bu{M@zsB6NKQ#b
zsqY8VDq}r!Y#m5sHt(0W@OWLbl&F<`8i=8^UTpj>N$P!Gd?x_;&Ca0Ln#Ak4RcY9b
z2=J=?vfQf6;y)&L@%ddC0E!m0@C-<dp@M5DAGOAanBOI$ww7ak0<@6NH%hG5Nh>nJ
z=9K#6)SmoDZX$@Sb9%L_*70rS(4CwQ4GxvGUIlg<6ef1yMUe<fySef3yB<-{(Y^57
z97<$2{f)1rtbBTL!MQ*UoQv}E@}{F1!+_e0Dk3HZm(K4BP3`vd^i*2Uu|avN0KIy0
zR(!oG2vY2NUZ>*K)zu0mQ>FSH8D#H*zQx7{q^4@u?J?5R=a!cKzIOKU5%TfzLEVy2
zd9k3?{u&TX!}g!<1}~=le<wdYlZ?tR8l3EaQ`n;N<^fxK_Ky*uUeZ?qTS4i~xqZ|Y
z_38bi{KtA_+7e$$J6$EZ*X0(~tslCD$vepZ*(?(g`R&^36hML+4U{X4lHfwZ!`~ID
zyd)*Hv(E$yP-Q(mIUSuedtD6;{Kv;fAY2@FTeMwjCg^_k6AFDE9o;@z?WXDvkB9)d
zvf$P3;2M*mgp%pI5&q-9dwZ5T_xJa7B!#`qAd(8piA1J25`O2F#Jo(<G)pQ65Qk#5
zH1(8->q-voUt?*vksXnLG%hADvLUU1Vq{!BGiu8VJU@4;k+G(We}RD!O?StZS5T0v
zRx+#=-`d(5aR;VT>enKfXnhaVpWy33<$%R*Szv28RegMd!;QuB@}Q`C85lBR6BEsJ
zl$4Y#&%FZ8ccF_djlr3(9aIrg>n8lzMw}-$5YP!_vHl5t-7wH`J|WY3chsW3w6!yy
zJEN<h`y368l7r*VwKL%8^17c<kow-UcHEzZ_j(^398}iC@_zf;s2A!PJMdwE%Je<A
z3Z2CqPFKowAGJ~`qmfR_@^7B1#re(J=bVp4S3phc0D!wCOr4#bAk!V2oNQ5D@h`ni
zXlG{^-Vf?d61n5wQd6y}g~-Xfp;+aHIbGkx_VT?(81LKj)t*pnPVeUP^fAIbB_H1B
zio`X`x)FoZL3ahw(0Wj<+ddomn(0DVdHLfsQ=WLCz0%3~IRyj5L2<ZN85Iya0ywkF
z@v_aL>)|{gMSJAr<}#ABs8{IC&d*ny4!>S+25<29w6u>v-UkD6+(ZIyV-%%jT6Hh*
z@bEyXprq6jbi?)a^`G<Iv$fIzhROR*((U%m$X;gl>rSk~wl;<Nxl~4)xUFzZS#g{E
z+<|64rhPc84qYixIjr2{J^IP<km3P_7tV4ZEw87qJ+6Nv+HsmDxD-@Vu)tB={xPyB
zp;^JMVHFDNhE{)mkw>$D_hoQsD4EUVMZ=0u%PD$CjoBz0$O-#A-k1S#d;suaV+fvO
zPUg#YcXz{smgdW)OM@q1WyMj}j=*RAa&q$dsA-!7l(+;ZCMVrD<JFS{+^bJxmZ&qm
z#DE7yx7jJXwl)s97^3Q|W~v=F2VV<EAFt^B8awsg8Jmi3H+s9vU5|v==6?{O6V;b#
z@Q`*0B1@FEWj<HA=i{>s*ABc_t!$yE-7PidQ?SqsK)7>zZ4!19UdWkcuvXD~@{WQ%
z)wboC`vtoWR+GV3L1=_QN=3#1vF>#_XV%w0G&BUoQup@u_Bn$YR%O2c%pej`L<8#j
z-X>m)ph5zG=O@?e(b$B9GGHZyBB|Z>%NimU%sF0XcwcIQT3>i>E;)E{%`Wz)Pzl(6
z^o<(sGHYwxDEATvMKN8Xc5nvGj$=9POl0_QON{%99f$eFC-;xrgn}F>O6u0(H$O_P
z(v?RDcZ0BS29jM=JP3B;z1v+0Gtt`oX$3#sm|smDyWrI++pQ~bIs=;uw1Tw_!KZ7x
z$>aCdgN<TBNA2*0@$SFMd3Obqwn(H%^D3TEV<EccF`Cgjr9l@i!91ndeNM~J$mr|>
zMObL0lK&2}LFik(T}}21bufSF2lL){FOI#%rpB-pe#s->lpF`NHs8B2Tf+gMUfaM|
zoKeE7)373<Lsn5`L8M#hSD-C%y~@n35$vYA$Okw+@Ngv5>PSXE2L}eJ4M#1wm==5U
zSGaPfQV<#1B#eB1zCJg^%F)v?6BeQ7mfSLV5SiFzAaOrHTEA6tC7@9M<M*{xi`G{A
z^x^KZEf*gfr%#vkUQYBkSIr@X!W0_#+QtkKXG%#k&mh?ysTEexn|r~rRwgKFa;7B6
z{PJq&owuGyDQij)c(A`ttA!KNFRws^u$CSg@7f7|<ZZ$N0}q;1R&l(H|KMaD4*k=^
zbAD{)YuBwi(*^KjLSV90!1I6McjmAz42qHjE;6LIQ9BZVyqdPCrTUB^z&|ZQ;N=?V
z(h3{vl$Np_1R1#a%6hG5#g|w8r`@g?HIC{pncMF1z^MibGSg~$RS5Iwvnh1H&}a{t
zHXHkN+aeC9y7X<J{<Q*72gvv={>qVmgr$R10}k^YS0g(<CyX~PUa!3E4kA})iV_h@
z%dAss(8|=zHunMxfwUX%gItqHg`PhTUm-11)n`rZ=i_gDbn0Rojz|V5I<W4O-@<!O
zBUxk@i>22A`({9FN;dZ0n4Oa=pNozD+`y6naO}hOU#6AsYzVowNRcw^`cm%6GHMm7
z0Kg<5D0cXIr)}0Wob5t7VrQ5uk1VknV{5fkQ-OiGSL>-;B@DH9vH3za_9Cj-q5Myr
zcG*UZKDiNahf*T(69&ocz3Zp~qp}qYF-d&x$PSU3b&f%ET%TiEXpL<F0$XZJf<hS6
zW6xBz5%k4b!xZo%PtfUygCZBl14bd?$eZKoq@Rmvh8y*u-6WzK*oRrjbnJ^@a9n8m
zYxeoAd`OOwG3E$KB2sCX+!5inwb6tA!dSw<CXOP~-Wvs3H{<8gZT8s0kFHoNNBnx~
z@u3O8;ajImP&n_wQ*|;aIh*bnfp;~^QJyHG%1xo5nyvV(*s9W1h5bCA<~A}a3$U=$
zDjMG>HC~|-;vJf<=Lni}YMr|ynD&n)YBshggveN86*7^gS}Gnz$KhDvLwr|~Y^aTt
zL$zX~73zi`k9_7E9CG&oxUD5W*uzB6Ia4M@`d5tHZcd+cI48q{Grf%O(hD8y&Xlom
zAF!_dDHHS#a;5Zm&z*61-yY^yw@*R1-CN@$C!iHMJvbGfVB9ND*m!!1g&J}6tM58R
zUWw^zA>j(O?e<Dr-`Qt#eN&PJ%R`409O#%Un`bu{pPhyIIV+RiMuz`TcJ)nLVs3e#
z6fX}X45d#-DEm)~Z((IL)Fc^IEIm0<YC5)c)Px%3AC`^zfpE2siZt7j-&ckeiCT`j
zr8G%YMi}8oU~%~e6jgRLPzIT+NY%XDH--7LX@c5R24EYP`O496ZX?1dJe)A}k~o{*
z8XWR<_VF%g-rboZYvjmTNOK<ORAuh43hv<l9SCLD1R0hPTr1sqdx?6K+}s*!>K7ZH
zRnX7JNl`(GU%P!2P+lm(XCn)HG<v)9X9**5NUQRU=~YbQF={IAvEjo?%b4+I67T_4
zXcg|KtyIYJWBBl2@Je2$tv2zubCr*VTWc3=BEx<tQN?lKr#*FaHN2@snsd76c)EhX
z@kI!zmU-s|?(Ko6LYR!R)I7c8QoGk<ZHQ$xh&+-jc<$?gu`ia{SpM;DgXC-k@3Yq^
zE!W7(z`St1G)h8Y6~wHD*Z!JeRS@p;>1PVzmf3kq<ngz88ym4HvGUePzHu|Ys`@&j
zT7|`9FSQC`D$g(ViONN7Dn9+{Sw8Q`rcQ6ZTc4OOsz%uN678kzYFf~|y2ItjWBd3n
z+&-OA1xA<pa=lwP!(hD{{{DD(&JUO{Jl-;@;BLAUUq7~y^L<gb!yoh<;;J05u&uj{
z$1N_26;VY%R>=o5wD52WwMj4m7Vpjgzyi6@G+N}V-H%+Re=jq@mhhH{XH_GguNPb}
zudeQP^@OO8SzdtE@Zp<?$#|X!LgjH}Q5rMDR#m`L@pSvk!g4t{RUEC4S;Yu->1Y99
zPkEaCz$bpa?lC8ldoveEw37LItJhQG>Pk*}k~!(n&VG<+{95z5N<vqxn2iutb#*+s
zeS-w#VEZc8gDoJ@_BJW*lEieuf_OOE?3@0#9I6e-r|;A4XMyfdMW?6-<NlJa4~c(X
zPVzsfgzXL2kK@0Cn)88;np5X=Tydd<4sJT>$SLgk&x>lAuQzxvc-pTxQlFyCh7ZaB
zVF)-ginV}rf10Va;jgBc=QB71aQz1({kGE?LjAG8fG|A<s2C}LLZskLtA>+%))~aX
z=%@t)(|47{j^t(<DtPCl{zuO!&MuA~>6Hnhs|)MI&c*-yPG0Qoy(|;fmOc%I{go8g
z@WM!nKKB4%32yMgt8VW^wbq=tA85~2nLS`_c~ylOHuQ~|DB$a5FwM@=M8eY3UcfC}
zQdGGeidHkdf`jfq1KYhhL-4@EjX|0p8BD&;Eo@Z{R=Z)a0eyK^Y}qK0)tn~8jR7DY
z-xfX*xGAFoW!37|?x%?_@r`$J&r0+E^1)5P+b#aKne5A+*}pkxTG4Pn9Z~XID|`dv
zA#u&_V6NWmYU3;ZbHah|0#5sis>*yAwz?W+e^n~fR1z*;Tph8PU*dctxdjn2723og
z)Gz>DZlMhji+!Pzph0gu<tJVC=>+ZjIq6Km*mK`lnXd@E;zYvVekV}gX+YLrONYzC
zCq($02)>BF$!jgXm6_u&zA+eg1WSK^;JHpl`Z)oCSq1*&?~$&nL?zKHp-$A)u~=J0
z(b@}VcEr-^35OVYlPaSjdt4j&H{?T3QPO2??tf#a8DT&Cf<whUqMf^5m^4n<V)f|`
z?sIOJyP5Guw+b!=YWE=tZ+idYDqsgbQL)4c=y%F}LK8#|Mg4gQCI-S>AdYt>?t$^)
zu{O;})1#e>BL5Vc3YI-q>&1fc0nwE8jTxz(Fb6i#!7zq~cviF0jDI#NDV}IU25jwx
z3%f<9v|Q8A%cX*AvrX6$+*iqm^#0O7nOR9xxcuZq^dRuA(Y`x4jj`xDK=OY^jE=sk
zG`AUa*Wc?5RD5hvbCpUkJH8x<MIH0@Zrz-gKAMo{^_r+LG@BI3WqE8IE+n0Am^*0+
zk_tbtTWuc|x@F<|ORo$%wEz}7zK6^!EZv6_TW$By%8$zSp`RC)DR3)zKlI%|9oS#I
z&>0YmU7{CQ%zi4D4)JtBJn8#_!4lvIHqo&S_;^ZLPGj94N+tL_OfmlJZ|SuvnL6Gl
zY5xv|9{`We48D#<@9m#$oFrmNCOkELS*BxHp5|FdXU_KXy~U_fN8XRA=d|0CXLQ`P
zoGT6GL6%3;{2`5@Z9CJ{A@xE>vxRibSovu}qa$V18tn$$1bF+j7ZxTis7*Sva07QT
z9uZ#{F@(Pa2f(KbKcV_DDN4<F3m~g>eFbh6`8*}Izd<CZL|{gJfX=AErrtE3q~BZa
zr=`hlfiYc!m;kqOYx%P9EmF`~->7_6eS=B&N{gH8yfp-V+9<17K(BYZRi;8DNPb7E
zL8#NM&auL}lWsC5Ca$+0-V8cq6YTU)FB3(k{&!pYb8_75e~LWTS>kk%^3nM3@qPIB
zj^#_{&9MFL(?ca%2_MVw&xfTi2wA_At1($+QhR9Zqc8|9R^?U@JRNw5@HJ<dcOWMH
zn9&Ph=#2WyRzF3YdA;fRo6k?odKy18U!nF4^_Nv6$mDK*97I@irLHpXCYz}K$m|Sw
zC|es3l!6leFF&~L(JDdC2>A9T0oPs>tgKMfjXLV9VkO#L?oxJmyHGNQV)!Gy@_bk;
zyO-LJQD#%4gcJs<t6Khp1H<2=XIjI23z>HZwv)Loy&ah9t~shjob%+~@w3vE(|^}}
zI6ZaX+zoKvvIY_ssw%f7vJsOlFn3eFn?4#<@l6=f>3z+lT7LiJ2ZQMKM0}KuRDS0M
z(p1PsS!eF3@sVJq?eAh9wo)vLJ14{*$g=<b_44`8hcn#L)=%In3d8*g@6zO&fS4{o
zQ?Fo%JhClZc4LgxmA#V@M?35)5f%z7OJ^+E0zB1iU+$$!vMy!f7smuYPoxx`j)_(5
zLlsN_wM#@fpYp~Dx1~PAptq~-NBZ#hNA+P{6wj4G9eSY_vcm<IyQvn<I{NSOGVL4-
z<y@jgWdE}Vkh>E54}Q=;{a*200}Hh^8_DoHY@=s$mVz2$Y3#povsHU&9+>?CCeT|2
zS??z~iIqvxGKqfvXz%{|i~ipjvpsM)FkJB$fmbJH*FAbp;YWUn(e%YbaMQ^(a|g4r
zJux^)ABGCeJAs)gqPFttP$>&e<8qn2k#F8{^3nnt9W?WS_ya6Ezota9*s{k}o|W1Q
z;=38WG8BZDg;%p>rM}8Eh1?UD-dnWoQg-3KD%6?hIUSgvvA|nQaFj|GV88S}V}7M|
ze5R*c!&)JKT!@$@^Htd1h&&|ZMNdgOAzf-XEOZuGf-%fA9iI>A^8=UUq?F=bw(F7<
zl8_J%uXA5+#u{~0(UF7G8bERUw_&|*@_4RdT0ldWv(h7k+D;iXwoH6tzVD&=lWuLJ
zo!wfqF(AHXS~*Q0z%Mvn&b&}zHS#>E$fPzZQLDP2Vf4COw2LRK_Y-k$Qp!|w+CLcj
zWvIJ5K8$f(kHe?|W0K-9k~U1{^JIZr#`|*)bvIyYgCmzTe#+iGONln#`o@87*F;mG
ze%~e*#Ar|o2_46fh)L+zQcGnpn~2BLMb|ws=gDEB>*L`gaW@k`pDEBSBpez|rMbO`
zWgot@`<RHr7(}fdKgXA+EUuqzCe#$X+R(40m%rH||NE`aA=V^X>L<5iBOoz&$(>CN
z5L>5~$9e>ngM(7M-u_Dq@|D)BBr$`-NZIj2fwCg(KEkN#AA4`+hPbh(dNZX`pSs;;
zH+3t@_nO<>3)=rNf55Q<TV>S$1&hU!610&xomqr$pC4kGPkd30Q~x~x7E9gQ@c0hv
z9G;FJQiycXB6dQ0w{Xj_HXnF1MrycQ<wc7EQz#XZ>ujB)&Z&>KXqqJvRuA`0UssN7
zRT|m7d@2?Au-8Nc<Q$@)Jph|w*r|7aa@?YkUX|!eTHZSM9&T#tzx|%7&>uct(cQgw
zH(vTSD%9ZQs~#YA_jC^pa~K@*4<`ijYqDCs+obH0ASy)scrY9;ED!}UPQAjmfA@EN
z)da?Ln2x77WfD=C3Cqb!t@wkY!zteK;gcQ@F=JUu2_+6kc^7E5USiT(;5ZgRJ)tS5
zclIV(aM#=YlAl%P*grjVL;w@uzmbE&mrIEXKXMHXOBSh2*onOg04r0eyre+ul7b#d
z<z=Sfey@;5VAB@%?R0?^LNQ+ZlW@>7Za83YHyovQW}r#ZbH|C8%y9w+P2Mt2x7^p@
zTNX<Vbq^N^H;M-BwnK>U=agP6^cXKz17vzD31PYlV_F5l+sq>YOo23C(v;!ih&I3+
zvic5AwXq_39LI6<)?Yq2x|58t_!r~GNmEvlx3IZ+$@5)3?`bQOG5JYHv-)SX##*~Q
zGoD>tG0AFvpp7dL#cD#oxUPYo^Z^2Av*7vpc1JU#?E)nXrTm(VZnfxWjs|&mI%5^v
z^Ci|2Z003Np*6kFkOi1fvLmKf_1FxvE^%=+`LHr()QKo%`2-y!+je7)=Obpk@tMOX
z;w$iDj5Kv}qh$WYfnYs&#(4&!UmzPk7-K<{4|!Xvj!B|d9uG_3@%2Xlm`JU`@xpd*
zgxP2AVVsEygBICCwuL${2;<REOv_EStQ_+=i?cP%m-hZphpeu@4UKrwRgms!@^ivm
ziZ^k1qzw$-8BD=w>WVmxf3ZIY0F*3hF#1L{1_15qc?JYwTPB=RK{o)rchJ#G(a3_!
zDy`m>0-0p?YQlg%@s}iyyDzgR@GIpGg@>obTQpABo5OHR`A}7!ZcW(WsV=ii-*@l3
zdJlkm66i_5^RN`#H?e@5s@~b{%Z@(x^=ezHRMo|;oS+M`(5Sw|G#fFM$+DywzIGPk
zR+EvJ*WZe4PIafoI9;6117QPna|2;R^$%XbhJ5^LCM9sAAL?<}Uqa7`CbM4MuZdcf
zVJOm4d=3eR^yrmmqc*QLRCK_JWJ{ap+l|#{3!Z1AE=OMHqbRkf_UjwpYXp3U%;H|@
zy0|NLDd$cVS@BCOz7l^AaJ%>5U{knheTLxDpJ{xP)AoZR9Vx4)fBXR7p{X(<<<v@b
zwtTIo>anc9vOyJ#{XyoQDoH*`XC}LlDGDr{-=TPFj@AE0&Pj&{gg9?o)w96KO$OF#
zzY8qm?%3conRsZ<tI)fI+pSEx6d9>BkjAWbvMx#gTb|Cp__SrVd5U#05zHejf=O7?
zr|DTem(UYvlZd2E2Z{sIq?!yCRpC?_IoD_Ql(IY=J_?gW?RP_jAG*K4fn;L6ETsEy
z4KU3iKq#iC9jbdDy)*bXv<>;#y9h%K#D@TEE=MeFxDc~cdhc9g@e@ujlRt7+5etg1
zA3V%-H14NuYMoJ0wQs64O2Qzw3!$iX#S}Ue{0OH8mLC^Df$zG&Nqo)>9vBgHi8HOj
zT#1VH-HNeXp8nrm>?f`T5axkfETQ|_M~-z7XZI(1unC5Rp?%sp^hS<G&aSgFAuV0|
zq7;Kp>G<i10D$c9z|BlAuhO@ALrImjyiR$*9+hv2J~LLX4`a06JWl`io6E9oJZy=M
zjHMP6KZZ&~fHU32m$~+w7sJ>6Lm<>VnT*p8MLpY$vYDhEOIh}3@Gp)5(^rRGL32Xq
zzn8rgUX^pXV5gA@wJ95E6+{h}<<_0I4-nP+vvIb`NX9_w_&``ohAIxBMDssi`0rTO
zwwBKuXOV`~bnSD$NaSwnNOO6v$ya-=>W!og#yqNXj(^mHFMGF%9g2EtvNhBI=^ux0
ztu@RWa9L_jE4tFMd|h3NQ~3Kh9aoHl@U#R2yTd8-biYEa?Y)8<f7B7{u@0S9g0kdf
z(&-9iUqwK-7rwnR^V>V;ob(PPf8u$E$@Ho?tJ)v=+tpSp7LS_F-;~Wpw5u!)(e7T3
ze%IFMYDCXA1ybA?T=1HLT*`Qtb|K7|O4P>DU*rBo^5gFwbg}(G9ahbNx=<&e-lT)S
zI1v7QoqTtk8ehL-Q0{0mkqL`LpnI(ji8o%yJyb!f&^!U83*?u%zO_h7p6;9>lnQuv
zHR@@BDFw>fj31;73GN!GUd{=}U3LPu=U}yqRL*xkXMunU;nK#ElAiwWQT`bb1j~_n
zSg^HM_T;}h&>Er+#oe2t{+tuJkbE#5xP6z#L!Mc*Wxlnd-Q=jkoDmhq2||#VT97jn
zZvbPJmZ9xvQP(_j)kB@dxl-Yo41Y@PzMGL8kD=1QS={_%s#p`{;Gp|gYR(SU0@jM(
zbf1vM<|c^GE{{HZy2<e-qU9hZEbG1Ku-q6u9Gs?sDNDa;)?{9h<My>fY(2xdp~T^?
zxn4A17RyuH+iU+tuTwT94UEp1Xm1aHBa9G@W@%>{r0E>c{;pU+mKPuT%*PsF_jnb3
zy8jcCIcNn}c67(UYrzu}b1?zAK~h<-eBIiEspSg5lc$h)$;xtMr#sm#oG?xdAGDwP
zr;UJxpZoj6kE}e88ZHjk|D4>-VvZiRjIDt$-Z&VTJ@W4xPBYAQ2Q%MmRw-!}zL(Y5
z@y&BACh{P!%%vu`+Yya!CpJIckD9+!LP?1F6QScm{LyrGK7b;l{JF-2n2F$wW%ika
z<63wD)kJ3lnnxQ+q*`!#*^9uOPX?<*varZE1)7OXiNo7hxk?GC#1-Y7eYntEdt<qX
ziIgMq+u==j5eRVRt6X_2(cC!SSv5BDvXR}JfGam=HFx6lW+;s7G+>F_@ZDuz3EsNo
z=o+LB%6xszXhA!7u;iGsiE`z@#@gK|UlbiMXYaIU>d-VM&6&ublBr>~dX{my_JKe?
zdVkbAz%yHgM#G2Yd*Y)`lv+i<XxUm2$!d={p!hW4F<rVqah!<on&RRIa{T>WU&%|Q
z`H=mTzuizQAL<Ox6up`PVkeQQuOG5N@41t_@qZzbZM-PxoqWF~dw;tt?Q`dp2N)Ee
zt>d0KoqxKP72KU`z&?bV&#Eu6?v$1pHa#w<z_pWobE*<FQ2w&evY^?Yj-w}hl;m}E
zK?%0zjkv(gk{G(NNs^8Fk;<trbzMs6Qa1s?bSR6ReA<+y(NAe+1_S+N3*5}5(S+aY
zecqG`s>+~}4m=Jfr)#}5@zPYXDLn<5K4G!3%JFw`2?=MQE(k@*D5$CRfzm3tTcG0P
z?2OG80x&eyCPTRB#C-3!N7BLFo|$v@=tMj}HwI$onjEP!GBQ4<^Tp%oxn)aS$o${O
zRXmlkc+74XPuOp)>jxUm_uW;Wn<~9sg(a3Tr7Cs|=5HD#yo(TIO4hBlm^{(b40re5
z5y^5M2SDTBa-70A>FeVFBm8ChXKkH7nF%jX#@A%=8frcZpma>sjd&~`95!*b(%W|u
zBU`OY(Q9i1+b~~1MnsH&i#|_x!ol#tD8FrW#WOk-iD(j8Ev?rpUJx|E_Yyey2@k#2
z7XabZn?}I}sUyNq_uZwMHJ_cGO@J2#^h~|=+^5B@0qRT&4vsirv;hxmfLnM5fq?6K
z$$*^-6m%U={)&=#orprQb0ps9<CZhb{(CRL)bx8s$AVbguSY!k6$$aIgWA`yyO{h!
zV^;iS;WM3@CmcUt1H!eVh#XhrH$LqoRIvLx5=<=^R5c)4eJO7uomK1)7?GV=#Mf8w
zx#lJnTgJBt8A&(X7EK6=HfF1Cs?Un)Z-On8H&(($m$RLmF1tGO*$hk)Oda1`J)@s&
zh}Ceb)*8+2eO8<+8U2!kWCZ9DLc_w~41ik)Tu>bJ=Z}h)xA*Ynz|c_l<YX-91V_j)
zH~hD6-$bBeTW>?i%F0T$&~e&F$e>aAlR?27umbP*^`C&hgt)Hx?ejKJng+k|14tc9
zVI%-z9D^=^$eNs9@*oj~g5L2?O^XSmr_HWi^j#~{%j)->*Ul%#8^dk8bIe~|{Nod!
z*KP8Rqz@aej8LdC%}K6}b7X~Hb`-B`4Qgxd5SrMvk1Wd$<6$g)82#%Kx9`;2@tM5i
zaM`XtedM09u8^;ysG$bC;rw9mTU4i$`MQ5waZYTDS_L&Fb97me*)`;Z4Bgb^?=o4x
zwJ&o4T#a+0R>NR8M=8EwjXP>;C7>WJE-pqGzIgLL9ybAOYB`PtGvJqtOH9PZ!!y&t
z!^I8i=;-JbajtX3AmSOr&xe7QKmjXBMotd>=;#RdivItoBie6fX~j6WfqvtfQ!<2j
zJYG(B!Tx?s(+XVrDNajWbA7awXHY}rcPW|?k@hD%<AHBns1j}6Zg==v+as58=DQ11
z@RFp`joAfkR65J?6*=7!D^E;;-RqFD$e46$rR3X(w_%*GD_PV%bfuYTHXyPKH(rx2
zF!N2#p8?JuG4L7I!BMB~(%YsIZ3=+(EuzE=5%!I_8ED~AoON3n^*~kuKEGNU;In&A
zhXYJOK(V0S6s=X(H#|IS+?JTA9)G9eoR*dKrp8FeqqJD$0thFdxI48w0Wl6d{Z_uj
zSu9=mwF_hc$Du@E+z+vok{w*T!$^QUAPtT4&aLB(rGPCuG;H^Sr!NN8vs%Nhoe#BI
z#M^9VvyN|)DG4zg&);A8W^$MbkuZ62I=}VTBYBmOaC#m+H0$)o!_g~acxZbaP21gW
z)D-5+(qdDa3^(E}(#wsb&O?8jCP5b5NIe;cafHil5<~Y}H6<CgGBrrN<*PzHk6p@T
z@2jN}TSp*f(84ih1b1hf0ry&81q1>)g+OXPiHmVWq?N)&9m-R2bdkEsQ#(|@DASF>
z<V<kbf?M%!4>}gohxap!V_pw(t=I{e8VNwoC8vj1GbL%kpoEMzcN6i>oxx2za$~GT
zb$$m6e!>yY;CV+vuAQ-wW5(d{YKJ!0*$N|}{qeVVlGMyp*B5W|WhLRX>aueom{d1t
zqPfh}bvyyObI7H?XFp2p23nD}X8fU15WG96S@eB+P+y|r;lT%*3pRFHWuPhn2E%^}
zj5~Kv&)jiyz%t~t$Q%6itI#2{I4btL;XH-g?*9K=X^kRyWH|&X(OZA63Y#kbL>JIr
zmNbuyE~r-wuTKV!vTW8N-+K-+Cm!p#)~V(-SJa%>y@cU|tlV?C_nPik&!qj`=A^#9
zS(`b8(`G+QF!#7Pet(z6^^pi`pa%;Fmj1z->CT0+>MZktf{4$m>M4G@%Zb-{WI}SW
zt06eg5Zwvac4A6*T)$X5i<|Um#Z8O9;VpTCAFVJ0#i~w1@5olONBahnfrX#*f&gTu
z>9f4mWwr_FsfYlKu9rX)Wi?@y|KoMb&C7$84DI_M#p0=I<{J+BBny|cTeVz~&E4J5
zf`V<%hVaNpN^b5%peTUaBVne?b)gp}@bS&B3AK4#bWKkua9T~XSWHmBL=p2#0Pz>l
zi%gZX0+EUD!@fRvr;V(%Pm#4j?lU_(TUGA}J139dhb2DZ4^d9Ai$tDU_LMnvN;vNw
z?4sPCj63*T7v^B7wfIeg*EKZ*{+&7LSc-jY4n8;Si!wDyU}N#b$ggy|5RIb9*K9hQ
zSEh}>Kkj5jjXVfhHu$^1dFoYfT~aqx9N$f#Nu*abeeE3WBJ}ZKDR9=s=WBhti(C=L
z1)sH;gajfGZn2=JVgkc05!Wg(C882?MP&LuCJTAr!r*jM0gHDWFo6QAY1f}3W!Tx~
zy0b`O`?Y6*fq_ussq_By>2@a0r0Lh-U@&vQa!wBRDlBq|6F^FH0N%iVn-jP~dmlB`
zK+4e~+mdNCmrk}Sa4^QQT|U4zVl7YpXycfan-!8yi9^r0xNOS_bflL1blse_5QxE_
z>kl5iPCd+(oGy6%CM~ZjT}b6tGo6EZ7RS6RE$75ITP3NN8_k{p8FW-8|LBwV6E`@M
zs1uD&w9jaNhF{{fSe1<JtIHXX(N~flgj8@u8)9dDG8m;*&QC%;xB(V#0;Ed;?^_O0
zQPEQEhN#W}B=~rE&&S8RV=8!0J)a`mlfRwTvz46(UQ$w0&kzye^5H$}Ehd8i!t)F~
z;&h=8bnns0kW|&u$m*I-=x}L|k~Zm<71S%y03uKh>M8uE7j!{7=G*IijjKz$ljN9B
zE+inwO`j<ktgO-eh>5h{g0RmAA77J8oGHNm{YX^Eyq0hI!HU?|PVnn=*BBDGr7`HE
zpfac{)`2h5mqAf^LFp>U`K2ZEbthiM$a>~VJ?HP8-8wQd84k?MpIi~GykUhtWVINV
zJtOU4Q~t48?R#aRc3+d(mb{goV>S6SIMLJVfwGd2Xy>|8Nt3@gh6iphzg!>q_+WvR
zhsV6W&v?&Qvj3<wO|l@Pt~FTHpr7!MDpee~b#||1kOk5R3_NH0XO7`b{9BAbv#R3&
znBCEtNaRNmWOVuPK6u-2RcKxT&gKOB*_<a$@}?Dr{mD)fB8rNSjn2(kXy~<Pv$BHD
zpkqy9_2w+WBsdjLrFswqgR7A_0Dqc`VXnV2v@PUdCe*t{PP>JI>~&skoVCxj2cxi;
z?l|jwK{_Gyg#X76^M1jT#n#Q$79Y!Bt$>=5KDsSf`Nr&l44s5uo%!NphY3x?`EisO
zEJ_3E*2Riij!g*v#n<o9s7X(|kimkfjBl(pV<=urq$EB!R?zYCDR^U@KtO1<29cpS
z>O)Dq`LouCMFMw6(j3IEe`m7Gst{xfroP*A1;gJdYut?bpdZR}9VxHbEO!>oPPQ(s
zpZO>V26*4>te!UV^L}Qc&KwYC`0FOoYa$t5rg*`^Hx>`|9gz90bt$3uW&ZH|2y!Rd
zu?f~~{%2p!izk#Fu6NgQ?$1wOR4T4bjYNKr%?Wvp8Kz$eBAO86Ki4EXwH|B}j=YuI
zsNoHipZ}U$)<spQ(YinR+oSHij?lCFTN1x;ZFzC&;iI-@3Cij(K<I=ryxXKxgixyh
z3+9CJ)?VUl!{IY#;q!O!II5DMIUHQLM@-h(d%cCHf;-p?$Q?hqW_2w)Cw8TVejBZ1
zze*?*{Cx@8>gGT_CLJVnMeQF^6YrX1$hh9KtFGM&NR>v3uLWw~Qicl^Tv}?j(2!j}
z(3jwzWvINsl#-k=I<sAKRDPut>E}>?yrJtkRlXUEzfTzf;Y_4`cZ>S7(gQCSQW=x|
zP70FOgtFAa@`JT}dUrOI;Vwi)JXz<7)qFrs@ugN_stP*)J^()ApDdO~!F@%wk)?rt
z=Fu{*EY?U_Rl<oF%Ga#&q}&oq6RE%Kb&=0be=gVOAPgC>RNl;5WIUQ6=gkiipfS`*
zXll)1YFUEV|7L*ZYoS#O7sWTncE3*U_gaALqm@=#tK)NHjpN$JpV}_(+nJ=^UQk(!
z>IXtFTY%JB|EH496YkIppC3tBASM0u&rLPq_`+>#UmWHm;pEET)N>iA0=l^NB(W?G
z*DC4yr^r9=N5j4w9d96IMAUO2y6gf~#7H2iZ4c>_v}4gv$=UN+uH{qvJ?9^uO8yY+
z3R_lgxL+zS9eDHhJ^7@m{`Y~iQT>+BDhq7wu4bt9_;_veURAh(on98m|K!$t!LEr}
zlY8!e16ltmnC&j*Q^)tt?^nK=gD)?KHrrk`MTwDrhP1c8gR^tB9eR?&l`Wa7x!54M
z7hF7ne6DlhU1R$vnm*s$hrlM?Ps^&6zkhyuG=T>5k(7P5Iq*3)TV;Vce!}ezM`Be`
z3VQ&F9|YXz=|dAg0)!Y=hwqO9#pv<W<e~JQ;)jj*HCfdsZ3%VUsg9cN=f|)7hBV<l
z1UH=HG7F}`wHaa|mN&N-?l1zUgKqTdZ@*sKpQ5X9aV-kV-70b7LK`v_Q^}qDyN0(1
z9Yr!PhLl)LV=^Z)7^){oXavx*w@fjaVUfwGd1D;4S=q0A9?c2pv<Z(qEuZb2$ICdH
zTDTz)IEZR|Ul<o#jKZz9zrYgEA=)i)sd144-4EpU8h2N=FCa4bjx9Q-m|gSj4^B8R
z(I1IzH>IEb(}j<%={KzH7?18OP^cgq%DO`fr3rExGnYI?W#Ehq1MPatotaTJ<??Zd
z?Ks2##N+)H(>W@1ZnjCkkIih@ti_Zke+7}6FDwUS*0<SK9~E3ZtwxWkrP%C`4Mu4f
zpcXvs9J$py7Sw8VSGAcX2|E(sHIP)y7Di>rwEV3<e~mBQZ|mc9Fir9lr8iq>O=o%M
zrJA1B9TT-Q@3@a`?{qlnuf}v~Y_?TnG>m2H+a4o;(jbh{oQ=fn?Nc$(jA#4wC162*
zT062XZzitBeGV2e`dIX;Pz2pt7@6y=AsMyl&Fe5(!=lp_Pjyl%;f5r_X6LQpUMtyp
z_Fs0_h?K$z;^{QBbkIVP+HffK?k~-neqC@I?40nZ!(H4eFmGdb?6E)%0cg9weSLku
zoL*rRP6Ei~WOV;ZO3#V*E#|AOaDYOQi?)+`V#V@m{Y!ut5lI07MN&25t}Jer$46MN
zx_ftU18ve_Y=(pX|ElaOqpEt|a1WrgbV?&2Al;49(%p@8OP7Fj!;cmO>6DU|PU-IM
zlJ359{C~LXe!Q%uYoq&|J$vSzH|KpGH7B<Ut0T0kUuOr+J&k9VX(%iNtCbq|P|&1m
z_ko?iU48OHDP`cSex7*z1O2`j=-D8XOViuhP-yWYI^=h+bemvZ_CC?+mmYxG6{Jd^
z@pVs;T&WL(TTu9Xr>XsY(&<j~HGmP=+FVnWCzjr-rRxk!oBS;wZ5tMnj56}Y`7Mwm
zA+J4!q{m7UNS<<gHTuz~SvjSqo4q9g!8Ppo$LK?u?b()3kmW}cHqs2HOLY@H`ag`@
zC&N^YS4bTTBLNqKupj~xi?|#}wobVih2*0~o9<<aftCYfkQgj<d-~qA%U{LM_cK}{
z<9P{0c&=sq9mTx-0AJ$sLP9+s|4z7Y?fIiGe&v@nQe_1*<H8*oW^B^efz3H2UVv<B
z?yqgnrDwB0vwo_m(HEqwIG77!0_}1aj$CGDv<u$bm3S!n7Gs)v4z&<n&=0Pon|eN-
z-|2YZoMfRJ=rTfB{ZmH8HnN=}*z%>_4wAjmXl#;W@t=wPC5hH4F|%OuKyNNRBZJ9(
zu_)x?_l-6OVNy>%+iv@hoxw^D<@l=IxpM3)w9g@N;%xefh3LsKFm8^wn|0y0kNSjc
zh`p!|gB72n7(o-Y(lMX2CHnjI=Q_6)BPEi<m9|!f3Y1WpcqZ~tSbF4a@^BKF$=+|-
z6k)8>p<$Q?Q8e2WF}HKZ*&i7y#kz51LOHW3=?Pwni7OU;=$2O58=v!dey^^9_hN48
z*VdEnOas<-wU^mU=MX@|C|gNx6x#4ydc*w41v|_4?HvP?mIv!mq{M-y#&TuE&yIEF
zK$3USUkiphOQ~}j(1I|cT-gthKA*|3v@IbC+zkyQS-DcWCApeG{3Ml+<YC@xSyE@<
zCCk{9NHZ*?g+B{3%XpHI3BRjTZolKCKC(eZCQCNl<xwaTr4ZXV6mogl$T#n9Z^2w9
zIwqB%h}kf~jRS$u_tO(C<v+~v1=M;XhkZ=iKR|%snyM++Va|*wUhZGhXXy-oWghL;
zVTX4hL8f?pIN~&;sHGR+7BWu8qx&OJnq)NHH&7J8EnU>q1D8gQ=m+oleGU9&3FT+Q
zZ_4l!32b7SG9e90L>EPz>wHvEqDZ)Lzt6@Sf3thSf0d{k^Q|o_&CMROO;GcBguDm*
z96L6SkJ4)8UxqLpX-OsWZC4Lgf({fB$1HTXreEnkRHCkYqZ#`5EsF@Z5QviwcG1Br
z)Rz`-CX;8?6E_9DNq+@JUGUX<sh5RcT1Ow2#AMZ~2ku2kI6{ZdDEv&vW-lzFaeXy9
zla)n-8-_(s=~nmO{<6ct;*$LSo&3@v%w$yU(}}Bo=c|N=I5RNGq-H{}5NE6EXqPSS
zcv30Uq96a|dXuW<C5Aq~CE+5O&k~h%`jMY>K&uu}-RpN@5nJsy9M5)ocF^c>;x52I
zu!ycrDa9c6h1Q4qGd}hgI2HVu56Sw`EOo5yImyd`L>$W~5DYgyq#DlRTV^4e2fpQR
z>^K2EUKErU|8?;R!U=gl{Dy^OE9mY}3IxsGOu_sWdZva=R_Mrf<8ma4?ysz1?Kxu4
zlu0;zI>ouN4NIUs5Nvz-{r5taiiQr4+pnNh@ul6nV|2~1-iE5omO>MJBKM0u#GSHQ
zha)Q#A_R6YO7GtmWRx*9{SV%k0^Z+Q9lw$Bxzz<^2$6Ycy$nTD=y<YKQZ{&Ux88p5
zeet{;OPj{`DQdFvcyg(`kOLH&OtK|4N|A+oU3gvx90A$-eQl3s+)*y7BT1C`^E)iy
z?sC^F|6oUOmBejjEk4_N>Kxz$hZorub}wu^lzEPWRpLcvo?d?qC%<@~C4Nt`?1+YI
znz%c+^72i=1!nTOyEdZkDc<~RLUO@Vrn0AanvKxJ-kegAMR|`<CVdie4%<!_9{Q38
zOKM8A?l<d-0&Ekn<-4nI?)%)2v3+k)9kJi4oL$(hDh}RwbHGQPzW0)JI>BN2Gj>z-
zMH80|PXCdALtlbvol<42M-e?<nDlEV+F-zF*N=7~x2K^GUG45-#F3J>6Fn=m(>QAg
z8)NDUenw>^4QS#fqa^g%7{Wd+WLMuyN1gmoT=j2|KPKC?&z3SS-aEgD>FpeO7WCt{
z)OvNbA?P)zq_R}SuR-#=rnl+YOXb1ov8yWw_O8R+Lc{U)Op9MB_WGgxZfD1O?oG+V
zqOo_Y1A3Cp4di@AwkOo>j{N$A5Z`r0NR24}<_@mO(A(CU-IU_poh``<*A-oFVgVRy
zyyG1{;zU(l&0rUUhpFAWl+aHCP3HvMDx~Y`pYg8r9;C}obE%g*n<I4>W&1jQCNMB)
z-qJMQ^Yk5hlPuY=IQ7v^PEW2M#JFwr3%fW?AYC|PKAa<*{9QoG^cIA9xBW~}xw7T7
zSMSY40vTOeK)SPi?TaLV{dXC||CH>a`)$BICFLRB%$mgu>B7mx>Ms)7i<j-Rp3333
zIjx-w{+*-ts^~XpPLkptxa%W%Ypc^zR1z|oqZ4z@WyfPhkCn<Z+&yiI=w*WZ9JJhZ
ztp2wsB)u-T|2@A*UpkO*L0|E$6yJgKLou2;nQOjuf9pWd=)s?5GIRB3<Xz8L?D_1y
z3J*|xwKpmB0aMgXeaUufj;<6B60V)s27%cU;$&;|j2U>-%=|w_Rf6p_{=UhnGe?I7
zs}$DC6c$ehDJ(7QK{p_68=i<*;~pnD{62WPdi5r#Cx5V7f4@#sPdg%TLF;7S0!2rO
zNPzweGNh0rv6egTrF3CvM?#`H<)<Omz*64n(nA;LnziL#!e{-~5GP4&ZRau~eEaoR
z_aoZGCL=Iqg|sDIWCseh?go&0j|~{$TwiM67e}o4BKCf@f4kAF5KQsOhi7ID12;RT
z<khi%8N{#9B<$7njwvqX*1lf-wX2xHbJ>lPPJ%I<Dywyjm=U16!;2yd?QSIn0#GCA
zQy40XDEA7p`bh7^PcMx{nBO&x7oP*a5W%?qywjoS^}=m=kFV#&zdp*mqj*v%MzQ03
zS|K^=rh;*?gj0QNkrnIIzfd$P<F2jj&&qs3{U(>!hQAs+W-BS~;{86?<rc~BSy~1r
zwZyws%(HN5)_S7L9A&WNp|ZPmn1-`DLSV0>6Pt3toLtVPxp&$LVKGbj64P3%B~B5n
zc(8tXly~&))0#^)noV0KxXS029okxH*Hr5G5+jjT>q#Iq7IB~$id^Z*#ccLbiMKyf
zI<sd_$#v|PZC=c+1l1#+3ofi4Nz=kgz=7f<so<FxE;Z4))ZC`vpI#!@b6j6z>Vr2|
zjl(1j;ZBle(s;$|?xM^-q^&-_#MtJj9bV@Tj`SC2=eYA1-06!=JnD(z(T@2m`A0{p
zrVSULkllse7V-^8&{><&sUgZVgx=;nvJ8!&tm!aQ3@F^$pq=GYZ@ueNJyD*)X>7z4
z`BauK5x5&lRsD-iWJaH)9xVhT3eV}3hGB4_qpvR=jPNzJY9L0#Y|{fvn_o<F)D|C3
zHswCqIno7DYeaUz_PKF?XFj8g$-~QG(tby({U|JYx$I4qdW=iubd9eGC2p&mW^hgs
zwHzc-ltsI$Tn!`J-8R;_%wHa^*_^C%%onVd5qBA>|1kNJ|9;WUUFG<E_2$9>=<iyz
zHu46H)E|N27?j*;PhJ=hmgBUK#F8Sa?E!<m>z1Z`F4oL0X?JI7eXkH;X`=33&Iv87
z&sprrn|<Cf11~{jlZKs<NXw11)7mfM#>HLawTg;fgv`!<zWHm8o}6}16e1Jn)6z6q
z!ENU%N>LRLe9He$tE*w{ubp@JaB9Sna4E#fTuadcYPrxSk|WpnaH8<4&*ajj^n!jQ
z+P8R`5T0bN24U}&V4jT!j+CG6)Y68EQKDw<zAS(G-n|7YsOMd4j8*MY?YOr2>NWKv
zXZkHaro^2m!E9d~m{+V<X`{qeXW=dLD#;@s=iePm&#r7GX2?lmd+qaupUJS=C^Oq=
zXQh15o|;RD32F2CAro-6Iz$$_^P?&CzaY7R7^%{k;>?1x?iQQz77b>fXHRtJ_TNsK
zZf3P^Wkh~g%^pt#M57wIEvw&$u<lQDzn2r*<$W@`-`_}i>?UAXxuUSs9Tr=QS9U(w
zLS#pwI9eI*3@%3pYWbV=K_2f%(H4Gx*5ey;3qyl0s!!nqB@6U?Y?ortX*oi(iRqBc
zjA`#ee{^8kgq>L{<gn&fslTeQS3G*?@M}~{<a{;lwy$0HH0l42kuNi@h(cHJb;d|f
z7Ksh<>y?q)x!aEC#>E?nD4wQ!*rSKEfH1PlkO(iYUBZ*NWVKKq9m><4+CLHqkE-T)
zwKTIn>SuN<M`ZFwD<kIJ!bGXHAIhJYPWD#_zb`FxF3uxTVs_^I7151q2@9auaXi%L
z5+E)$va;}d7_U<Ao$Bs~_2HY%DyezdsIAk{K1m?J$jHFw4J&D%TXT04wRd0<V<{v!
zw$y`s*Vy=no?gOT8@^V;K;q*|ZhJpv5pl%0-=mD?m@K|8mcOyaVil`vUw0d5f<KJ&
zy@Mi%2<9?kl2jCj^N)CkUU!ND@?_!mV?vP8Uj}alhUq%u403dum?2a>%VNfVhi2wA
zz5{H|uAmbth>H)70f+S-0V?4^*t|C8k=f?@`kX45g0Ti2uSl;}=3s@34)g+()iuK?
zaT9pMy_T7@Ul-#3aNeuO>x=sv)m<UW88^l^<e>zeiC*ZZH<pB+b93t^!eo&Shk<o<
zkHw?z`$}N^N}<0(%2uQ3T6P6TUnY;_Igvz<W4$H{z2_CrlorudJ$UXv27!l_wH0R7
zlWIxK6fv0eio;PfVQ-K3`%7#d(9b<ex*|Xj<xp`x%QFG2NTa23#i9dg<bjg~1x!Tr
z=E%1m-RqK#p77p-211wt64!0LPd+EPxu~6s{C!ke(%!KFk&+6r|9uZhNSD;S%``gM
zGo0Dq;OZF~Czc6*B^D(W$a^2NnyKRkfq3%q&7KYOT)0&Ca+^pRPbQ;m;)$AUPSXhr
z3zNaXz+fN;v2bzq0D3efZSDC@AzWNsL{!wk)Ko&$SFcz>%>aNWO52<RzLbuE0Tft&
z2&j*}igw%?Cb6)z<kV!+Z=xO8FG7Ev7XD{IW~Ib-g*doSJuo#w5~e152PN*uiiDpL
zb`y)uSA1f<pQfJ&Lq$&sHd;{8+0w@1bl^ACwgeg4h?r#b4;)tx_DAQCJ83+PX2qC+
z`JnyV)c<K9ytUGNBDL`oa^V5`TjN67pIzt%4?$Jq$OLs`y_ZDSSp_8lMI?<KR5>mi
zowhLzkz|x64)ljKq&RqeKk($zmPUwxh!Qs?G05jbeq`sv8xZpcX~!YjJ39qM$aH=Q
zKBKAQR|OOCXLwjbOzcH*NeL_9#2Wm@i2^#4EuAv~`XM<311hMDu&}XpG<lq}IIfF{
zNy;p<Jps}u41D~MgPC$}&r(oX%K`Y3>zPA?gW3jkB7dw)XiGY#Qc&G*U4jFCQ6DW2
z`drGtreZF^u&-y_;zLcuZG0pasmt8pL(NmuQi?)IjTxO=LgQvXA6+THUQXK#$ia+y
zCRO8V6d;A?ooUXxaZ~Q(uhSBzuD>HkX+B&q=?Fv$M^g}TD+JB$j%S-6AI=7tPfkz$
zGc(D!Y-as@?yo4`$=n&*h>MFufh4DY>V$y)^)|4Mzg-VSWMw0}mhv*c+#&h<`vc@d
zD>is`c6LoItuTB&J-yWFIE?YnX)Qvikd*sNclix+u?dTV6GKaDScrT2GmfJMyOAkH
zps3eW!`x{5;0ySN#+9v)bK}qCGX2Hxt}iZBHFYmH|5NPl>FJoAB>;6OtmNDK`+(jJ
za5_MKU+DDow6LrUT12iNoSMP~{nVjRQMQh#psN{_Z(f3ybbt*zreS9Q#si>4!-6m<
zb$GAO<5DxC?3#&<XeT%Lh($PhLb<&<|4d@wCQjA6b7Bi0M!tY}pN)~*!CCuX^|(x+
z;U;RVTB_Ad+Ezu#Kp@f4;bhh_Oh{^=NX@{&K-KT;>}+Ud6`r1+E^)nfehYR&5^Y^|
zwT&~GB@qA9$LkePGQu%3GCDaw@4PwPFi2H}wpas>o%QbFBi!%%g~xGLipe8;S_X(=
z;<!_j#s_C_M#nw5EZK&R3tp=_+r3vV5H**PH4s3CRJd8=6k|CldY=k`2IsH(M`)vK
zMLh&7wi!#`>C2NcWMSUV{c;h>QlwyQE)@S+|EUkFh@{0pcYJ)4`$){G+Ij{JRD!?)
ze>h%luJpXLY61jLn!jCb<L?>u8galXuWvm)CN*ozB3fn~;M=c#v}3)C*@wvp*ZqT}
zq;|*<baS_ZZZs<4H_J{p+j`#QzLa6R^W$e{XA=xZYbHbWu2rqWnn-SbK34+|FK>H)
zKQf@f!@8fIoFoUzLS0>5ImXu1G^n_k9zcIeC+uu*b2TbB-QL`+ZV%=6vST8?0NMl#
zg+ff|%7*8qUJDxRHu?r1j>u%vM}E=Lc|q)?Lpg^nZ$9;*XHnzFxe9Aq=8_J6!QW0e
zMgx<=+Y|QL3f1kuTy&imER{q|?d;GrG-hb<g)-3%3=F^%DTSVH4IRu!GJ>S2zQ)AF
zOqzIkczn>%zz6h<n8^TiU}L%2>*Vs%XJ~)wqpWOTO^uDd@HFE7S&HmZ(Yncd8rT%X
zw^v=+rPZ(|1$T}lm~qsesD&JnvI~ZnN2wOa7SSbRgqlLv+^QNgA|+MY#$kL(h!b3Q
zyVet=^SBty{kv<wj0htyF1uo$_01Sd(<H%h5dLsv8Cj<5g{8$smd~3~gXz53$xM18
z0L&O59E9}6zwPYlfrp%&tcijq?Dg?HAcb$<yphcmA^~d&i1oz0y#)XWG(334i@oy)
z*Uh0c?zohc(DZa-P?&wg%8D5l7FJkXoEB~f&R@*_c4G!~bFoQD!HMrQjKTAv1X!C&
zYCzraRdVA6i};`tmfX}iA}X0n(75y^H2<Q;GG;qzjd25wM|Y4C{#IcaOcPC>?AEV2
zHVuPsU($NHCKspG<W1T(&P^s7G<&KUIZnmvAOs6P-N2QVl@ahc(@I3Wekm+041gu%
znpyz%FgPti`_4-!dGzk`fE8eC$bREMf`do(OH9N?BNd=^Tm%>oZ4(pN0EN4|_4x?}
z;BB~jdP<}Ao&d-VsQM8S65{#1i3sQhV*t5SUrBLb><q@4ErFGl)oFXd#cT|Q7Unks
z!>OaxU0@QBSP5@DhmU9^OPCqU-j4_9I#<>NR{DQ#_0VC&qS!ZE${l{*+nzUUj#AQb
zuPy&=>9iZW{&qBJp)DgnKVJ@QeJ)EBp(2@-8jRZrKo87TTdL&TgYClUu?$M3#()=+
zF+33?+ntk>Qa4gcq&047ZN9Ut+i4I}go^O>o{8EYS)NACH7n<(??v0PkH4561YG5O
zu~`kiM2c#}pKih2DkyPedEu9ma>Jq{N3eX_7&beuW87wwXmsi5BGtpp_~w6JcMMyY
z=4rN-vNpPQ>Oe{NYHu$*b2)tbES}oZC#t#--G4l5B#fWA<}ttg2|9+;)2hl8VaHBr
zd~%gJA3Gf*jeB=r^kd}79xGk<Ck0j*z&{Q4Fpwc*6u5F`Gakte^_7okj44L9qF6of
z)1dl#!X)Z1b6yq(_nm~b?)kiBY<N2#;^zV9jX63Xs{1rt<^!DB3_T}nF~+nn^we+B
zOWq8xMXUu>`1HTfZM=uvDh#Ze+M^8A2G>9GkQtEJJ`x9&2Vl{QAew{Vnv(OBbWz~%
z*l<5$jMJttJ^{sk@lU0t+))8ibU4XN3+La9Auq9za3Kk5svp{B+T%M482Ji{{DlPO
zxxM!WfbWQw-xGB-Gu3EU+TV&5uj4EPL2O9y^Cc5(mlP6Qvom=K*TPg4E?q%=hXs5{
z5l1bLh!{E)XgtDGvv(jm>+UWD+e#YqJTy1t!V_3nIwCxKwI7ws!p#~OHVUEaVHuox
zxq#Ni;k6<<qvEjZ*<Zr#{ZaTW!X{3#;dS23fdFZ|2Rdu&wZ651M-~W<I*JyG=Ki!~
z#w^3>w$Ds_Q0p$a_r}OB3Z#KY)V{=nkl(3df#i^mkF32L!sKMQ!^R4Od;NUJ^f=<n
z*cBf6S_u(n7WVe!UP{FxiC@%;k}t;vIJgq66uT>ntgI@n<p`=>+;1$_h(H8K^P|W{
zKMe%p!EzTJ6=C`g&WS@e;rO)%UAsanh8r3oFp!9z0XOgZ5b<t@TQk8YX{oPx0bSYs
zyJ)x+flm1Hx{{9VDv|C3L^@AyDF+USN_-yZC?~-KSPdB)?MrX}^wGa(HZVWQ_DgcX
zf9o6)j**RncKCn*oXW_Yu?eKL!R7BeSvfgTykEx6IVqxY!24%|ydhsealciQpc~>$
z7DjeuM+{ANcJ^zSW+GpiSSd-Q#3rScH&gF3vE4F;juB`?CgVz2IPtU1TfuO|6JRb&
zlo6LFq{Frz`iNMpO(4wHL?^`*`cf0LS(JgaQH%rVAE>a5rvDq$4G{_LxidX<gtV<=
z!tq3l)hI%J>(^TfB@T=<a91RZqswFI;H}1_x?h?~4GoK4U#YX;oHU?Gnu0s^Gpl<)
zT@=dR(%vf~GyC{*c@rW-5Fe}<6yJHaV8D)=y!UWFU77o3>SV#;uC1-PID!t(>-Pa|
z<^#R3bRi;zH1+)v_TtbVaW}HJ1O)qzBxn?`>9}s0kYxr~i(`nu$$!*;x0xUGw`S$#
z1@Rg@hCtKLnjyn0?}-G3Bs_mRkc3M^1L|yNEE7A*XC)-~s4GZ}WHOydeZ}Fi=HzrZ
zi<2{1nWz$ybKW}aCBO2k3tq>9e7t+E@4-w42=V6VxqB8;6NLtegQ@um?I)geWz>s7
z0f|VunWJ6w<s#77kdEY@5q`@wk>DA#xls;L<I58rEac?0pc72k?Z03|d+mN>bovhj
zu6ML>D9~YT_)zlC0AsMiihKe~6KoASg_z}`rW0`uXU&bn7%j90VDfk?$>8i#!#Y%l
zKa)kv334@m!J2Lr`~|=SRxnD8R`m3kZZw3zRF4&<G0rGqs!{$lz`d-o;yV1wc8XPd
zE>KKg!aB8ptz8qV`Ns*m8x!VxOnqS>+g~`NH>429bjJ!*4999;E!r}G)F?3JU}ddd
z#z@D0IV9CxT<FaGP61L{*>SZ#I^3-*I~=VBIsfFNdB}hS0vSXh9kC@3v?%=An|H%~
z%<4Hm_ue2mSTQyji{3Qr=rMXS@5{b2I&Qq<hR|m+oHp~=ch1!w9Ia$=B>NiFiAhqE
zhI1gh3zX1vxq&buGUNlyj1oOQbUo=QHt*v{r^k9EQ6xV@3juWWdtBiI^eoc_@4#G8
z|GQ^x@zfd=6FdLZHUBHWxbQF$+FrgS7;k<9?jeER<C5S*8}v<^7^wjQsyLBfdeicA
zD9%J<VDj|Q2bJk7cYaHO^o2KH7rq%?qAuu<g1%m1WHXU`PGd2=%J!`j^x;Lt#qcxs
z0`Ei64h_vD?3Y?Xfo2Wu#|RVSabv*D#}jeCIOqa;%_29mE*%Ck_?<mrLn;9UnnOxF
zJD&+@C+I9SHTgHj1V?uK7_#Ia1_pOI+u{j|bnGs^;s$#A1x%NUt|R$5bnm`|6FJt6
zX8pn~Jshf!4!1!5)(`)Xj&=H(b`$o-o1|%F0nRX1mjmbDxBogFP=vHKJ&!wc0GV1X
zA1f>?Zg>91q80gXgdPs}m`5vvL6Vu#qui@b(9N@FtV&-R80_$i1LS-1-b00#+Sb7F
zg@7%o88b<z3oUqypCjAXI&A6N*KlAu#DpgE3=*+o<XoufU%iZxVYv||9Vy7p+Ot5M
znXETRRF9G}_BgA+s5?I!TgVcePda#C_hOXMa*J29Q(Wzzve3G(lYkbbHe(R}&8MY`
zJ43aHz#z%mfD3K<KYdme{Wn@dTnm>*Hb)W-yvk%0YJ$3|@qcdIWuj}u)T+f2dZg5x
z5=#e?pGxxa*0PexIk@~*D#|!WUMb1%pAjfZ<3lEVtsVAd*&<OdSQ>wl$UgsE<C7l#
zHvmii8Dde}D8vc8n04Uga*Wp+jEGVhr=05hg0KJIRH~~f1q>(^Rn&3^sNfTob%G)s
zFozVpf+)k$cr2`Jt9-=&`!bKTujsH4P|w-q!4lz^*w#~m_%%$xI}*Yd&}JzkOdd;d
z77py>%8Jqnq(yI^c6xtWtVicoKp;pX{EUxIF_cH6GDon;=-<AC^(jMIvVB7t_3Uua
zMJgR?*s}4ypb0@BDKhai*d1YSyf(;3C%QK?mVoeJLpSiGh<1nIrXYjg@hH>iSe6VC
zML6E;&oG=*H7Ron?4Ze@1dT$>_TlakX?NGkWZ%5=pVYm<3Ujy>fwzeY+_f<4aN$9g
zM8Z}2vOj(u`e$iQR6|i)H(KfVX4IKOOpw;2mHubHRha2QaSp_f`2pd>Z{l@v?0?hv
z&i9!V4o*}s(!GQmYIGbwAK|Ya#fx0*S)h|-nB@_CQ_~R%oxgu9n1ITmS0*Ynrr;Rg
zX2;LU8R}f5@To@=&-%B;aO0!`QQq3O4JsqL*-QSLZQ|ca!BzeAO@}#J_V-F6d1Zww
z|01@JsXh6{McpF?WUwY}>C8`}=l7VGIRLmX_hEs%ABTdH?^V9-1?yxRo<!=mv6wih
z<j>R5F^HaR0cUWoZCw3)nTs;eI_>EO0eBkMOE9`2*({&sphw^_F)$!miijpACQv^=
zFE3B-NJUA>zpd?kN@{BR=qN@!jhu*`U77nMz_4Ng7*n%za~}*0$n5OwZccm2h=|_;
z;5xuD9r&Ky574TMh=_dB6BG%>TDY+JG2-#e9R}610@S97Qq75Q8j>=IuP*D+Bq=t(
zDZYI1f}EF^5D+);0E{X?drt-u86|x_cnq3;z!N6|SqvVxBVvGO2eKIFw+(<l1_ZbM
zE56SpeSLj5Ab(Klyr&F+`;?mG%*<#&S3ndvbqI|@GJUQH%?4Ba0YF#7R3dFkqX7Mz
zs%sm*Z@(?I+<`(6c;pjR$Q*G|4g8agB?ymWmhe7B>1%9_ORE!p<mnazp7^-2tWawh
zNL7sG$>8g@coQ~zPDOq51bK_d*PO`cqym0Xa-CXh5#iy6c6QO=^;bc(@B)&Xm)AZt
z1SR^|oshgEf&<A4DLJ`ra4H`L0?vZ+0>+=%gaoQ(v$M@US_XzL5OU>_=2TT-B_<|f
zRn9Ifn8bF6fIz#iTT`Z?hdGYdr6{A(TV9$)U%nisOtbM;G@Z}=rH%$EG@*bKk<${H
zT|06tb;x%?cX8n|c3p5-?jtbWArn?u1?$$L6W!4vLO@8^eC44N+1Cfo)24utiD|jG
za8685n<1c+CNz$uvYQh?)D;!UmF(>8M?l(TX14(r7IrrGV|<tJ_3=vPP^PefaT>rK
zWXn>V-DUk65I_jgw#W*?1AmFXN&;~c=N-QRsWbUoUS8gcii%j;iLo*Nq9VG_pFh7|
z3K`kyoSoIoUK}5<8uKwWHm>k}{sPE1J`(qWe`#k8kBCsx*GB^!^6<S{jm~smzkcl!
z1}FAA+S_4345?xhToMfKF)}v~xxYRZrN#LS%E#HR2_#lBb6K?sudF2JihMghSy>g2
zp4akZX;*zh0+cHgn_NXjMdc)lGE~&mMvL{1h-hd%Cu={`e#?+!yeG#1bvib-Z05R1
z#2^tX8Nwg`&-bm-x#wQty;ViQXX*+e`!c)9B`+^uQB@_Pub(02At(0=>>49eQ)(As
z&^Dl|rj}Jvp}5YZ1~x<hpy5$wao$ygX5<Ev7_A-B@mEkwg@YAo6Fl9*F+>n4ayhlr
z6;spFIu{oo5*Kdo?y@T?FhG6@bmqVUk_9h3$~Z(2aVlS*o}GOyD`Of?=MDH6zpw8i
zub|M|>~+0*aR0#Qzq$DdV6nXby+7UIxbJc^?m@Z-%M|P+tX}d!@R&H<h9z_-C#O!(
z_rvP6Evwt;j5IbjmcngMN~4g$@TKz@04sw2nC?88WXPnTewvUEADDRzLc%c69wVE^
z^{S<%Wu5y0Q0}m}pBSQ&2@!(~z@NUp4<H#uD(Fcibe+!Y<Zypw3y?AiEG;c(n>^T|
z6j7j)<j348$_v;R2naGhs8ZU&^U7R>B&H$r%C3csrUCOxt~}N<9#`(ZXPZcA0D6y|
zgX5D(R;*kaS5#s`Lg<XSnHd{|fsIXBS6yF!czgK!fUK-+ioZWh8jBI^!0<3$x&2>T
z0R#kuFega~2{v?e^q!sb)cAPpg&ON*ff8^c6g1M&)Hwpr2TTOV%b_hv=+(G1)O3KW
zYAmSN0Iq&QD;nTR>Yb&mNMdGYjGrF_NCN>8kqH3*qh(~Y{hS#djtovJcMJ}q1_uYH
za9IA=<(D;6rq>DhTnx?45qx}n>Khu?K#P@)LwaE$?Zw|YY>;#YeB6jgNO3NgI1;3X
zh!BvpqyyNJ<QRynYinbx1a3!*{z*yd0bA?c5mlubB92o@5QoP*my6>SGEYy>ieJAv
z0UqJI5-Ud$eOr&?Wx+^N!PoHc@L+4TWs65Bs;IotC&R_1zVw=#Rn_XZ07-(~(JZ)&
zi;LBbjW?t{`K&;3g0&6G$RJ%@S|W<P?Iq~+eZDu))X@<IiW{JA{`vDKc6QrEh}pDP
zoZl6Ey4}ql!27Y4r)BpwG6L-u3dExmytcNswv?=_jYH(NF1mi$LNY3@Ibi)Nm5d?%
z3r7F<;r4uRZZ1_Wl`XH&XL~TU6JS@)0);XQ@;#b>@LUt1I(8qp{he(Wdc07<!^Q0e
zNT1z+8;Co<ynF<teaV-%uMQUm+uHnIzI<7kkbqMQ5Lfem{v49e5TL7T?2i|ik7MnD
z_GHyMZb)2#!{on!^l|V=JYo<PC}f(=fwD(laj|sLlnQOxd{tp#sFt>N6<EongoLiE
zqosk1%gZ^S(@eDlgZ`7$0m;D%FalO^tS%`wwk?`WczC|Xx;KeQkA9hkjqN|cfxEYd
zwK6b2uiY@EmIQ{@d*dy%0D9s;r;r)D`S7Qno*o8nZjJpbu$yFcbkckPvl0U}br7RY
zZRFnmeiae7U1*(FvnMAz8=G+mI++;|7ZZ>sHjR#sE^TVkZ5lf8*6)ujadmcZFdRr`
zPQE!xOiJo+ZaJfhseQPdF_?RPx)!eWxp#&4qo$(b;E{JK`&piiiKHeijSSbuWYEIE
z#1Fa#CdS8&(aD4o8WoI;C?=++Ou?G3SAk|Qct4QD=JG59sIXPQ8b<i)H@UMO%-583
zaUD0EqY<$hcO9sQu!mdpuCA`qVAESZW2j;#+ctQdo0%CKchJ9k*KG>5R8EeLmf}(M
zZ^~;0zC7@3oVqi-eJj~CG$Q;w7$}lef4Glb45)~BCuN_Snwzx@4S(G1fLSv$G3iwQ
zsZH&24@5XEid0ZLdl0~=4gumK)}9n8Dr1nBwE-BR>z5#JE=!J40W=z0kN)wwva4?O
z8xt3#DUhWz)x<smVrVcqdmK0O==01L<-UneM1%rdl#Bf-8QtyUV|3D(kotO_qI-Z5
zn*)-3K&IE(G&D4T1%1QCRXgScDnlO!9Y~0X-Z`Q|2w089;(Ha<!)<zdB1!o1zz;M<
zK9(b?qmM-0ZmI)T)ws<MX7&7by$ZBkkb~AZAdlrrM0R~8jNq|rM@MKfGBT%JZzLk$
zJ36xd7ava@y|cCkV{L5>+B{H!Fo2!B2y6j`kdS`%D|Z3XhsQ^vN1^6@&!p7UFpwV&
zvyF_5gl^EWGRDWI1VW8NP3V?mVP_90D0mCHVBVcdX;1yhVN4TMpP9xR*(wMJ_R|oo
zu2OzZ4xEb0gv34H=H{l~$c~KcI4UG5DJkj*8yh<S(9peMV31wsVb+g5h*8qjjXXR1
zocOI&OX-j{Dl3bk<@w3$;$Q|H#Fz+Z#BIP(INqEXfoZ7ic3FF!YzuTJoTOwgd~czF
zxv}y1UlTewj~Y{xXV-%n7{8htPS88~RlnIY3pgnNpB4rF)$2eo^FY<9;7!G+^~R9p
z)Yht7kpO|rJ(|!=YnnB?G?lZR7$1>Ib)1TRujktb=mI+?CviX@q9!o#Rlj~!f<34{
z6M=GOF|Zvw1)7<#ivbL&;m|iuIlK68--=^3p?1e^kp~zNlbe$@WZr^OS`~h-e7)bU
zh{(uT&x^m^>_3^B8Uaa?PE;%s(J4k&vycG@t@ZWwp}t28b<E%iL6-+J8$b*<SlF_W
z^qXh^KrM;45E%e@?I~6(v5<d{R_H8J18N9R(la@`jm^y$z@BezZGB9b`M*Vk>tDd|
ztEu4v(nad3Y0zs3f1jJ1YY22^3a2$*5~I%aDi3oj9RSxw$x<xja4Sg2Bhl&a?L`2_
z_$Oa*DHt3VIA&!~z))`|^X^><ygfc=!FRA{9M?L6Xg1X0!8-)h*49oQi>Mq<PhMR<
zgFe2Xnwpv}u1ov$mf@Ye!Fnr6OK)#)p!fp-PP7!&U9kwM?Hn=Nz2MZ}Wp(<}7VJ%+
zZ@Wy_*4BphtM6tEe8UDn-u<<+vW&E}F%Wi}v21bWm|yOv#y}NvhgE@|okHgVXOC)=
z<{my}8Fm1KyS=wJS0zo0#I#V=qH-5uFU6$SsJg|UH_*s<z@OK8<2nXDnyN_q32dyW
zo{i(<5gOT)(RnL6P;TZ<<F?QE-}bk*UigHt3dkO%5`b&NwJZC$<hBwvgAaD&VZ!o%
zBQkT2W6|ReK#xcEZd8K0*|chiN|oIJesi&kr&IaQsIkz%@XE#+XF)+hEnQvW-wtcA
z2a`qdUDl1jDj5RAa0XD2)8zu>nP$LS1?aQ`Wx5R=paV9wyu94~F^Y&grJ;cr@Y7vW
z>FW#)3}D-<2-|c3v#DuiMZZvO8Q+hdMt<P>DY6n!143;86k8k0VTXl<r70rv^~Sb1
zHWs7Se1tUV+qZt;|IY#ciXf)f1kAjuZ1<L5NiC?weFD4hFQ~VfgH|RRVB>%Rd%qPT
z7we)kjh@EhedCanlJW<bu)e{eA?jc`O+fd?51_^e{`@iIwp%nj-x)C%AdUGh<fF}s
zYo7;7pRE4x+d$-`36y*q5G!^rF1*&c8>qPh8zZzXCOX=TkB{#!XjwG@ek}tJkLLct
z6VO_Jfq(ZGs7w$9IVy+9S?r%HbLv)`$jYKZDduEkWk1!~Eg6Ggil3dE+nmh%#NYTG
zvkBODZxu2s0s~(F;pl->fB{s3Uy{CmXI#$botf4cO9|Wup@|LXo*o<>jYSF);R0o5
zb!BBreS^#fP*4mX0LaO6fb}vpEDVXAg~bq?MmF{a0*wv);3EP80=gPN;V3mE1YzU+
zb`YSs11Xmou1O^G09ros6)}&Zm5v$k^m_KO=mAW)nW14@pa{kJ)m4&vw;C?+h$2~C
z59c|zcXoPTz{32hsWC0lC{J>8*^&k>5h&+h0fIsn;C=zU$qy|9s_W@7>bC-<>FG)n
z$^3$XURgQ0xgQ?_W<lh&rEj1$Utt9ItFF%6TPPE>V*ZN2XAYkMqllIJ&ZlO45BkO9
zT>voj>8<xP;0^?nLQ|<vg;iPJau*K#2{y1e!DuA?0OOgu)?;cXFC1qn8o2CG%Lce5
zS%Iu>Z*TXgm+8)JE~%(d9MmoXUv$#i*ukN~Jq_wPiAS*Ze0%nbh5DU=O|ox#K#C3O
zrN4zH=)jdWIMWOLuUPeLkN^Q!xrxve0l2dKm*@Ncz2)xtXpHJb^;$791pIsymlrD&
IG5q>}09x`W?*IS*
literal 0
HcmV?d00001
diff --git a/QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/docs/_static/api_tunnel_grid.png b/QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/docs/_static/api_tunnel_grid.png
new file mode 100644
index 0000000000000000000000000000000000000000..3c6c30bf3cc0c60d4b7351908475485c34556a28
GIT binary patch
literal 70945
zcmZs?WmFu|5-mK0;KAJ;f?IHRf({zo3GVJB$l$KQ-8HzoyE_bSL4y06+<Vve-jDCc
zELJx?HQlFARqd+UI}E5Ojf_Zu2mk<(zsg9c001A<005{wcv#38@;1#H$RA!8Nlh13
z`|mF9Mowk`1tS*+8+#WUOJg!OGbd+DdpizhUS>8%G7A?M2WLJO7Tf>t0%m(BbCx;$
zb8?6g1P2){X8-`z=-&sbM7Y=z00jVil@L|)$T-V%*Hjx?8tT%~L_-6rd11#=NGhWb
z=+{{1u@PWmn#gm`q*{gl`uir&A*m|QJ%OcqhU^U`34@KLCIOQe?Xvv#R$EiE9vI17
zLw4<%<(s&Y#(y}uxgp4Z=sksQ*`UqDLxckA13U1zM=sC9I{f#j-o06T0CEoUFB7Wu
z+@1fPX2UoKI{x<pJOuZW|9vqsh+pl0CZu|a>Hlkth!Tu~{U5VL(Qyu-@P9u*gfb-a
z|Cp`Z0s3AI;9lO`1O*4fP*6~yk&^n4y%BQR1ax%?Gcq!w5fMfHS!*H`c)#d+H$Gdg
zt!Zik$x!tk&lSTAl~h#?a!d(8dwY9p>gbp}-5d{3OxRA&{qI(xrV&vVvi;w}sO6Fk
zAOG&l$jFFTSbWaQ&yPz<k-m$GiW)du`OW74=0in8W4u~#naX8L5TB56>q}2hkA{sM
ze81)2HRB1f;Ayi`2LrjO?w&w6$K65Xb?=Lg2|vI8J#k(#b2Je;`j5BQ=iTcmVK{)r
z7lP)N7VwIB_CR@cC;gHC`|EvvUfu_tCcA|uWFj6kBO@ctHn&RAt@3Zxy<=lYVPRqL
zNJw){DT#?W-uLI4U4DY!$5WvIG71WkA|imDogG$(?QR?%)&DLmF}9@~iEb`%d%jdv
zv(=@vQ-Kl3<mPB5G$Mj>sDEI<Xe6E*)^=uQX1Ups^18iPG4rQNY5&no{;loX+na;C
zyZwA_{Mdf%*#1)&CjoMJc=(Nx<bO@ul2&R&)YY-`@bil^+6k6=MDVG>z`y{@7aSZM
zSS{Qg97L?F=y_>qX+dY%2?>1y_KJ!qrtJ7<XJ@G~zn%7F+iw?j#-0DWS1j91zklyt
zSZG){uvP|@3D&wCs|04&#>Zncx3y88R6mv^yW!katNcP(-9rRBm4$LOs8CqU(Ff_*
z%P`wuG6c7o8N)2lSp3xdT95upr6!!GAQrjMfRsN>kyH~!z@lLlWZQp5MQ<dG&YNtZ
zTADT}rf{PQzm`M3sz#re4fcEhd4o5yv%7odQfkjYdbekoS=FgLL@ms+#*7WHR)c>1
zt)V5i`TD4TIrA37EhrbWbX7UmPK&4wPzP%hnflw+geyaUY8GLhlKsyH6fYTQVPP9i
z2y2=^+x}{IC&pU_1KA1DTguMw{r%=-t^%c(9@>jsy*N?$GcguO=Tv>~e*Un}Z~S2_
z25ULi1yzA<9>`z%ufC{&Z>1a4*c#Et#A2}TR55KEhEy5K9FI?%W?Ft<wzW}PLY51%
zTViFXezu)DIXi=oj%1=8U0m8L-=c`cbAdU{&C7-<CmKU++}xm+mX@52UTwrU`DS^7
z;LC-13|lfH`r%-Ef++ke@K@cvf@=xgX;Z>|EamLX3fri&f^aIE$pi@rpVEl1S_#6(
zebh#-xKsytiNplSdi0^d_=mbh72A*@Il1QOzgA2%Qo%;IOCTWAQdH?Vg|6o8qp2Q4
zS(H<I$t|Ypsq{_$B5FTwY;rBBqd<VBsud$|^`&o#S-p~6y|N<uLJX0do_L}-4A@(f
ziefWVdnZb!KCHf96D^xxg3ydqVtxtkHn;mgJ{AS`iaft?F`!0C+^0DX1(t1Sf1KT7
z0V6V<_oG4eYH>QnI}MvXM>UiqiMEwqq!x59-I9t)nClFh$=4w{inHRP4BA;ylT&FX
z-^yL;GS7&HM%`k`zzFuVPhc>3xy`-0Qz3uG@M5zgG%}KENJ2`A;07)rH8oZ0Sv3d*
z>Kh*)-{!$())kSG8nh(_^;udjzBH3!gyBUT#;`Zg5up^5@W1hfDJHXjBE+?^Qswy*
zg!9dsNvrPTmftgz-_tQ|K|#TGX>pdAq$JG2L^>QGmEXPUhlTG<p5$_iGp$CYcJTbX
zT7_oq2U?}9{@!4uTVIIlIXvB1W(fO}1Wao2`99U_lbTsuM?791nn0X*xyxTzF_SOY
z^ZJ0CojraFJY=a##OsI;!###B_ytX6Cxrym$A;Whxq;fC9SE02WclCQS^{oBV$Sf?
z)KHz-SZqQ<U`-9{*?NmAi@?<IFe?y@O7I2#bg6oX(7yf0lD;=`XJ_ZXP~mldUU~7`
z^ZI*-I4t1z_lXYxMuScw28{{;z~}D>En37ts*o?=o)a%5gkJ5Z7;HAaem6$`A`v<q
z3Ge;66c`!=pBDQIPRv@gK5nf+4J*JZp8~hSB<wQ`z9=9^9g_>gi1s_-NGL2PTmx5s
za&?HNf3Fab3)4sz9s9Y!xKtt}ev(e|!E8ZM;QjoQ0DqNm=d%M`SzarW0!<YRJ-t*l
zk}FBSrg3FG0sWaoWFbM=ZdmAU91ClqecnONYROWdhy84XNMvC>M?YW0@GiQwtRz$^
zHy*lI{ueE^8&K<_=30Fa(@jh5q-X}AD=}I&;ryvw$G6fmVG0$>AvXc_Zww^>Dq1rN
zs(E5AAwi&2@XIf6<dW00Y5s5twc#|cF6C>CC2XU*(D`>|XP~tbaSVanEoNh!@?V|$
zxFHJ|Z2?qu@51_etj5Mhye?;`J$CD!Yiz{a&9eAu;7F2KwmMz$7p?wcigI8kR^e}i
zg|D_K`8geI%6x*T<pEEV&odufq^|f1Q}RB}s|lM(EF@<F0R96VP#kGk_d(SnBw(QO
zFIp#sD72>pV-F|B^b!M!u&0q*llemBQ|U^<TWYaLGn{mWu!!uZWmByBglml09S4ZT
z<I7sa1ue<*g6UuC?URdA;q?d|biZZNc}S>dt6VX>9{Iu74KarH^6VNDui+yH8d}gN
z>#0k@w#fBCc3%|`S66~gtnkZo^rk;@<^ww#6_~0AAFK7nzkWrqv9Spv)`2H6*>+e3
z`1?5na57C(A0Jp%(|f@VR?V@$qSCn;&^YI}=8GIwq5c7hRlxg;$4B)fr}g_I;D0VV
zsdaUxU}PL;bs7XfPFU_<3aBZNVV398+~BH&Ijrf++APtRvLfb|=h-P2*0U5;h0k`@
zY<yJ+o*UsW(AuYonp8L`JYTodPFNTxAd~G9wW`BgE8!hwxP9Mv=`&jIa`<viJWKda
zBFl9&SVd_vx1sDln82HW*Pv0r74C>!(m?BKIUoGh67{PnJY;8F@Ul<9&cv|UNEZ_t
z&Mn7!(P=Q@m3C1~MyaPrt&EpBLz2dcHf5C_df}Dvyj0v8Ou^#GVm5VGWz0YZ2-akA
z$8q_73ZXB$NE@1cPo7w5Sz<!23aZpIZ!%DsP|{2~cXA27GO3hP%?AREEGb`JX52pS
z$qMkA#g-~Sa1v*U8bO9&0@P9#N{xFxX9I5r*Cz<t%HaAbl`lFT;<3D@ZDeXds+tY~
zRaOsA)_P7;L&+P~#&SHi`2PT!ZK(a`8!CMR?9|p!gBp>d4tTau7i&L>!bvw2@&olo
z%^_t71;(7F5+w96Gc?o<8ogYcad2Vt>dIck-v!ZUV)*nq4vVbnS*-o&4qmj>{74tu
z^`tBULb=KWV3TM==I6dlpM5S<=kd7tAcb-@ga&6$l`#PTsPUi`s>%pvI>0VA6x%fv
zUwhQ<1M;s$*-n1qSuf7GUTI#d*Pehh*GeR*XC;8A>+3D0pC>SHwF#2a!@UGQ+oG0F
zhF*CjqJ+<XuHE;exRnWFwq1MT8Ta)g8Wa-1YI_$dwPvg~tc#hKQ_e=Otc6WHh#qwv
zD6!8IavwR7oHr9WXviDf%vua@ebIsLgh1GOHjT=t9~wxEe#Z6xU0j<7FX4H5&hJ7!
z9L3HS|L|x%+vwPSs8aI>)TOG+D;%1~JqMo37}>&}G?NtY*$VPT=9#=LN-=V;xSxU{
zjf%Kjp$u7L?L?>_B1O`Nq_|&<g5n{6mm9xDeJwPU*V*+AlW&^PQw;vZ&lUoe&TlFi
zTwL<U-B`bT{)12FgS!NgA9D31X|Uv+uyjiTr4a`k4ECg{&z}+u8Z|2<dQ(Zze2{|a
zav1!N1n;{FBQE;yA|1(Up+S7y#<iOEX2oIzrXDdqad@h9v4!TEa|~#}B|3aN+XFSk
zid=Sj4B5g|Bjltw6)2<h);8qM$0tB1!CAy3LlO9W^8q)$&Z$?3vPyW6)36~8rKiq!
zsU`$_rO!=*FirM{qYa^adN*+yS9Ez2Q?$JQXwIMf1W@h44V$O|0|$q|2KR^E_Sfy%
z71$(M>d8IR-8R)?w3MWk3O7%;)1M_-B=9bOeu!|xdE6c$mP$l&uEp#;|GApr!v#Ee
z-F0`fD%~JCf|_)=mo;^A%Cy67B0ro7W`s|)O^L`Isej)RMnfVYw41)`u3(8xSDiiM
z;-U@qEaY)Nq5s({2;MV_(N!hv2Rp=OB}eqWuuDkYLK1TZ7d+}?115bU;!9?75HfCp
zW9Mgs%XVK{Ih(92v@8Ttc<Z!J-g7LwDn{fXo?hUTV-8mCFBMvU(y;M=7T!m9&qIk`
zx}Lz&-6A!n#fD01-h;(GoF>seKJkEMHONu=^(DNdpniJsnv7sV(%$GwO(VwQH~Fsk
zn9R0>8fSNmvN8fXp=GJZvs-@vAYwDk4&sGGicEyu{o>!52ZBm{6>JfUqk7y+RuQ=O
z)jinU2<z3*%>WFbDA6fqJx8i*0+O{WQmmv_!6|T-{=@fCwRT<`9!1@jXrxD&3FE24
z46%wee~i+lYX>0)R3s_n?!C7k6HYea^JBaZuDb|Cyq@^7N!kYWOKbUr8cbcNKl~;=
zzW2blzaJ|GIu7l!?0USI0Yo%I`T1Pq8&abt6c&?w3W`lBO#`@F-)zJ3>PCy;9C<Qu
z_AhQ7J@&%TQy&ef+<fa6<_{cJ(bjXVK5*0$5KxfG6{^HyY7=neWyepeTZZb0aAG)i
z%o1p4PKHktKQ6oXY1$i<d?9Fea=<O)r1uR=d`&xkpxq}rM@1Y=h<mN|SaS=kEm#aE
zx9#0R7>S)<yPU}xWS+4t&@+?=<)~O*9a(oRaE6|KQA*)Jy4s(DtF^h3h$O-Zi0O>{
z(VEp6H46}>!mu*a<P<R_%!dt~H$_KMWm<Z_zb^FO*^P?0I>=D=07p!~ZlpHY^|xgt
zw#K?U{!R+donrtVQ!Upkn_3~&wZoebn&1=F5h4H1icsGjDC(nZ(7=M+mF=H~{s?9Y
zq3olzH~h8K24$O4m|>lJx`|H>umyLazmlhcX{U>l$YkI>?3<V)1Zh<7JzWMH2NBA8
zvx;NvVe1T8OwkIc!W3gh>Anp8A6kS18k+}h&sVb?8T>S>aw+Q1YLl+IEG*apUB||V
z07FwHdzn&}TerzV22TJ0$(dt$)rGy5b3)E)hjYC-KBfd{uc=+1y}^lcXm?OvefI%?
zQ;}-)FT#hlU92@gW0+n506ghRaw!Q;u75Px@detJ8<MpuL&{Zg0RdvAVp>`aVU?DC
zow{!<{S@f>o&kqlV29NY_)Ca!Dc{21^1aemu@nh^@~gQ+*>Q0J0toxhu>gq-*q@V5
zdu6H`-3=V4;EHbH0R5RVAe8|ET1#OnB6-Qp38zTnX(V<!|1l>X+aLb#LQovebTq<z
z<NxwIysr4dM^z%6o%$ULW28xORTil5q_oRuHjR$N#Nls+DysVy^=NV@^<Ry{aID0{
z&8X*sf6_06^F<|%vL5J`s&x;p6D{JfLknVBKjOCTDRjI?oV=M$nGB>FoZvi_OPiyJ
z)pQ}zmt#FV9R~jN{B%&#piF^b;gZTJlK2)dTlD2O?9rP2-EP#k;_YBZ<%f2fb>Ip4
zC#brELu3D_<w*rOOQOinX5z^oj3<I6j%PKUZ-Bf5B`*rL^xW7+5o|4`k@V7iC4X`Y
z;0TP-Wh&8h?C8<is*}glBrIb>F@%xj-@L^INOV|<?u7(lb^M~ry~TPwxY<e@tb#dn
zZY1YhSr1xUH|kgwq6?k2*plmJs-c#E4GM!iaNvz;=^FFB=Lc>pe2ox+a0EqYL-GSJ
z990fGO|pZD&>-!~p7+l6u!=Kd)%1DevyJSZJMpse1f*6FR8ORci~v#rZ?9rA>$m4Y
zf%w%F*o`h|A5La*GME%WYK#Njc2FL?4m58hFXV5bKByPL0ujemlt#1-Txn6*oL!-e
zh2Nv@YQN0!2JBaKWv%j1QoPpO96JI6?z=XlULA22Y?Q~Y$Lwoaxw-rLP*MI<^1yXB
z+1q~v2;3cfNm%W%B)p6@z{FxGzce2deMxgf1CU|Lv5n@UhVXyvSz09)Z4`oUydDs!
zE-hL79IKTEQkBH5W#A`CQ}6wl!6d5TN%ymjzjtLd#AkC=9+uEqZ+5IgMcaHK3vY1?
zjv*@(zE&m(wR0uP_Bmd`R;B#%qDa-_CXT$>{t57MV_i`?0e0XMSgPKmWI3hj1wH;}
z`vyQ3B1a`6PJMYLhe_}qW09r+dfN6X%H?W6LdpN;&jF%61MY*XTc1sgGO$E_xZ<;v
z&l{)BC{ILCFC!ozxJ89ECTQBOWPl*_1SVY47`asLEAwcN2aE7WclV0&+iyzN3u~ot
zfDOgPq*;o<LknMwBuu&GDY7a(eu;I>s1};R)5D^{#TAY(?X;U(JP5|Mc%*(!aOwBd
zr<||~mH{{T9Vh#>WvAv8$Y>^h1Q9NJRq0V%q`evDL))D_9X01pt(Ok{{J+#`hkoJ8
z%ULljyJ%A^z9<9@hK#~Vl1!<!lxiA{E5PI>VsI1yLzud-($d3uFEkkTit=0pBA+;0
zqcdy5#>XTqx6W*@E}l$0PLdE(@78%<?sbSHmaap0@#8>cElU9vr9-LN5ngm(6*M@O
zUfL8gajN&16lVa-&aW7Ex?Kgh2Y1H@k>2frXvarT_mgf%mUGCzy+gz+XUK}nu)Yr9
zFT3s%-5u((qP1?(wN>f$%7Mjarg~r|H8LIZ^TxLyOFN+e0lwd6bMrQr{{)o?Z9Z)E
zevO^yQBA+g;B5F>Iayt9!fMjvFs{V|dz$sWI)6~l>(%Viqx7uLX7PNyoB3dJ%N*GF
z)(5?fy92vr$o=rKt!Go&{r*(kS6^Hd$>PeVR{)KR5lzTf08Ds*aF~SxDM>y2H@_|4
zOJARJg-cL;lzPhDS_TG1!T)UQLSnS#%grl5OqtRhI5$8s@~3nbYI;JK*JT~eVOo6x
ze{Z<3Gnu;>x?H|CahwW_d$?$7E`oD7*KQVH_&|lTE@Iq+3<wxkK|n2MZXV*mQbyT4
zT4^E7%M4_jr2a@yiNn2*&12vM&Bm=#%fx}8P5?evSJkCw?ys^=LHh%aK+PL8dCT(8
zEpeO=Y4bLcs@?=ze|b3BbL?3@gq7TB>51dXiVNfQw_`o;$3HsU4Zp~4Lj_FVk0_-M
zAtT=Qj+(np&Oe{t8Op)A6j`l2eiJB~B#x|weyx4hEGwO`Oi)uFb~H7|0Bp;iAopCe
zRQtg%R;GS*n=GGWwQ%w%AK%~GfX*iIA_M@nHA5nbXO;bae^A^+IpU|s^Oc4%dGL+%
zFkdVNmVWYo%ofgq{r&5&ya_4MEdAXkat4nVLR{Y~_+Wupi<4hXaQ*B`wf7zW=K1)Q
z=^<a=lTpXp`i77s;1V6`63JECy_k90qG7np4-)~zvb|-GO2$&`X+|LQrU-v}0h29a
z{s7C<vr<_;*<x_Va`#8ZYOzIvf^2#V2Kvb}SBVtWqj|M&R3+rEEblDyq0#dX=TP26
zv1nh*9t(LwYY)uHZr<`=3!Mic5N9Vtw?6H)xSa+zC6otw7lijJHmhkyp|VHsLLU(k
zcstUr?~(>7>u<szEfOmW`mpu)pxOs3NR{eF&;R^D)ch;DYc3&IW3gR=09}onDL|3F
zhlrvUr+VN|P<5tYNVCVzr7w~L#WUX-zZOOB2(ob;JVW%kq^z>2o<)_Lje?AH>B3Q;
z2qSr($PkGpTNU$6L3+nI?wc>P7;8mJQ>X8Yk`554k-MdVyEIv>!Hq$HWw-0rP~Yu6
zr4TYMAHLqp{_&ZQvY<G@f%r=|t}wC0S1onHwqqcS+;9x<?GH9`hB_N$HVqB;zMiJ+
zv%&rq=-Q*r&;9QnvpEJv7Kb6?gkKBEGLm_tU|KZ#uR<ZUPF?ajdTo%7^&4Y{){hv2
z*K++fqpsylb4NizRLc>q=8VKJ;mMckDuceIgt|0YRELNf&C#&2=43Bo%i?NsCNN^M
zPX{1Z9Qve{ZBn%8n+2NljMW#J^^{2D@<uYFDJ=`DK57cKpP+}`4FwjH?f%Zx#~srO
z|EZdcnXIj7!>J2tsCnm-`qcxa!fp=%z6EH<j*>9H`R9}d#!qG(=s2n?NA;x!l^dX8
z@SDfkzN4n&UWRCPS-2I^$}f08b9{!ndzLm6iGdrcl;Xv|PL?%pog*U+K29?GLvX9f
zNqa6HKgWj)fk#S=m@m!8AwJN*D~~gVKt|J{fV^rWfA-9eNwWd+g*m5(XEq=fAx|^_
zP(?c!Da8q>p^t1X&3|*c8|LRLz-HyZ(*F2HQ=;~Zj~_r~&<vH9b{=Tf8@kCkR4ELa
zZeN`y)8Z<|-bP76_*_;scwejpex54^0B}_3Xl`$$U6e?Jc=&R<B9JI_^{)PIlb2{5
z6MfckMtWFYp;S;b7iX!c>QAf`1|M(#z&o5lG7<0rma6Ok53qfl?>-van~F$;!g$?J
zAD44cZDrN0t?GsV-E&oUO_%T$-CPY$*h|6OwgKgKol!%dgk9`{gIn;&&06IadOA61
zkP)ovFHrpl33$}pDd~d|;oP$ZhQAseao5l)lC;@aC9D!>xBsP`4*zQS{^X&vK{}t}
z&k>)Q74a=^i#l75FC$!7cs){j^H<o6a|k>U{bXibre5UPnQ_qleTXJwNKqDtinivD
z7~EH}Xa<I=ZWdCzzAE7zV5(}~yQ7g2U0)vRccX`ShxXPd@^R8P;lvcKsYC6P6-M2*
z3{ZWdjjrOvV0=>%c|rEK-$XhAI5INr;lf<~yZtNHu9JcR)0=i47nR3&0^M-VMbg{F
z!pMDv{3uy{(SfZOVcMXw%05WVDbgSt?5{Ej&Q9c`H3=%lrGb4Qhqxf~_wPrH979>p
zhoZR}l=<y=S1tI<seUL|o?1_A`?4@XGCV=37${KTMI6SdVFP&EC*cJdL^d4`;6|J1
zuH@kErQ_Jl2b?r~idR7(^|zh!%rou4v!5!TJRVE}xx!Q)kR&L$C#o@2FCW*^*^I?L
zXZbl2kz`&4LjXrT<*cFs48X<xH+LnuJ3iqXPl%-4;BHp2G&p<8Bz3St?+$fEU$3;g
znB^@RiZak}ZUFIB8rJxIP<6ui&_I~PE_t`cfwB#c1@dwLB9xr#8+-{FVYlx@Lnf#w
zqBo&rKg1VEz$og3X739O%jwSeRf}9a?1zqOrHRe@8sX;}8V*g3fiabWB$uc8n62NE
z$;sbg8x0f&s;qI-%+A4z%r)^NmpyTmOkT_lsp(&*hsI!pNqK^M>qa%c{^Y93=9c<&
z4g+vk2k({1!c-OP_pD7pb=m0$L9>l4H&NmTmwaik%;1WSh@k}J95E{fStB;u$akwE
z4H=&Nj2lN;sEqx_5SNtoEx)pkW3!uUc;JShLyJ3CEmyFYxQr%N=F4=f7fPd!7Tqg$
z;RqV~44h@{$M|19(3u6_FOTz{B_EI9@|S;QgnNqxvKAE6dbyp3f6aPJJ;Me-CQW(a
zvQ&o$<OjwCja0>Xbu>05jqENB(dK5o&vU;rv!BdNOX{%2j&U}s<J_VMN>s{c-WNEZ
z9yRA^YEFDh=09y_ZLoHVLa8#vt^QC%?dD?n4IBEGj7~5<s<38a{Bmzl9x*tjy6UrA
z6G<l9b#71U<FsLkn$;e5GWot37YcD(P~Q-9?yuqdQAowcXK><5YcFjM>7^bc;jPsp
zFLl0c-Eu0JmVJ<Qr<@V|M3XzqiN?ph!)NhV!>v~4-jGSK&tt1KxphLf;)f?Kevu$1
zGJxmrmgB(<qPCcli5fl3;+GGmC(w<xru2XlPV;%Wxcvx%cBvs_7NcQSe-GG}yt=$1
zU>kf?L0I#xr%Zt{PqP~g0Me(!BMEdx4&~}0IJzGBGCf*bBu+LqRO9>BvVhgd!dPY~
z>j`}K{;RQX;j#J=W#o2N<)PgGS36-Iskl-I53~TcOQr(tmdVJ<`2|4f<=MBD%OB$9
zZLF!p(#~P`WpvL;cbujFZQSL>R|x+xiP#)>x5<C^YOU)E*4CIpcR9<$@C`WbYs^zd
zkL~d{?jkl*?-Qx8bR-dG&@`03gY)^%IPn)YtCGncW=J1+fBXZHurD@0YPPhWa!aYw
z4-<;4S0AB_c4DAI2Ygpo)6D$Ax@*O&6HCaa>!FwZd*g|*(<nZTn+lobRh|4+*&hjT
zNBrPbj)Mag`RsLEfWzmz^AeXH;<C1&oieKz7e;hp;<*h4iesw5{%(D|xiL6$#pt8c
zlSn^1W)C)Y#07fnS$iC?#dp{@L4OilBqRkJK~R#U9If$-Ah=me?FS61Z`7>HM)h`m
z1g}h6D)i$;tIlR+<pi6XCK<)EXJ2tKbnlDa4EHp$(q!~cvC_fYcH@lB*kD0N+}PN7
z*K#^ucLZnsHe8cKl)!e`AMT_NSZ0#@Xy^lLyzYwnc64^SBhs2`ETJPzmRtg_nXK<o
zrGS8~r86nVo{f9TqsL$q@R<eZrI-Ds6`Tq|ZaB^2t|@ub7MBK2h;MRL&t{m|M?XgV
zI?&Gde(G<uQkH<ANl-6PgSDe7;xRIs9f{LbRME2iHiD9!33fA;zMF_7lCoFhY>)67
zh&o1~p8a*=ecMP5^>3mUTll)fLNO0b33n$Z!(!gdx7@SVKzL4!4I3pD*c&gaD>F3^
zr+U2X`~^E{!CiVnIy(9|f_4Yo^j%E3vRj8k1N@>_M>&nNQu7@b$Nw)HjR29W^llsP
ziqSw!OyBJ42gkPf%cT_W^cAtW>uKmfRy%ptJtu07_AZ!0vxOqAQmt(ib<EVTg=v`}
zC@tjN!)ail<Y#2;1*zm$vQ@m>Z|oGf>m%Yz4u7XPU$;c7P*O2S0^WqG94<Ct^hNa?
z{4WekI0^QW5_fH+xZE;Zf_x8|^II`<=PdS~Gi+#Yc_Uv_#|nV9K_LP0%Jt!}G9FF@
z)@e1BKlEi8VTInoY!6SoJ7+8M0$oSnL}-FF=raNl&9&8z;s>%;(nC1B=UiUZ2zVfm
zGrzofw6ujplC{CsT+N-=>%Ef%ldr5*D)L>5TrsmHM9_N*eA3XWCm)5c<43p1E~u^X
z2d+@rO0%xCF+#>v^8_?LGdB#g?qIk0muvhNg>r|F1E*)T%%P@7T*7|ruVDpFS1^x2
zixo4L6ZK}+BZA_&kZLtyA*%Is(M&vVrc8<J_di40(INAq8=m?!vKQhfg(d8Q{a0?b
z!k}UedN!|v?q3M~Q5m3`N;z)pikDq{p5~R^y|-)4$34`_8d%qs^iPYup`1DOfenwt
z=WR{G2UEl!g2jTl-|Q*lr|{2Xw^YQ{?fv*rlS)QR>LCn{lkSYM(SgUv)^?3aJsVag
z3beo%!I`-p5)<(kG~(5AsU!X1>lM%C1TTD@copT+ZGOB;QCd0t&evOn8;6>nH{Zjn
zbN=*Sf0kEP1|DvUDIacWH}taDIS@in?uT+d3*R6*gj8o!zCdTNnQKs~(Q`Uo%Q_0}
z!=eo6Nt}g^xrROP*e25{Nt=LA9)ZJ29_9zMp<8hlRtbC`9lfVamV;u~2u#){2rgc4
z8Fjt+$iP7Q&8&B(M8u>^nlQI<LDi?7V_GS(T%ge-|2w%5IJ{KBN(0ippK;#(PS?5a
z`6>HiX5hCi6BBETJs<?mD?dffUE<NhFtnOhL!KbaspUh;Uqpw?S@jq9C!)Wj^zt^Z
z8z5h9YoF^e%p)6<A6;(((e|C2TY1-XSoCKrnUR8Rr}6DiA+1L9p@5*^*1m;8B&nEB
z{i({L(^d_i=_<vZ7JP_=U18X~Cv%Tzx?oo^60-0D&4vBtn>aXkDf=%3=5ELoe_y`B
zt=Wy`)-^N@di%44v}I#rpc-`RTzCFZQC!#Fh)&~bLCy019yyuj<xUwrPz>GA?ClMy
zbuy&rN-GAdr7^Bf<0MKd0BI7DM<T+J$TyOq5tO~_88b^8FcH!yVi4F=4#SP^PK`;Z
zlp(IojN3{W2>Ryk^Y)t0%AK+^rsTf6HGx1=OL;5CrNUx*`rg>^CuqjRn=&sO*Qebp
zM=6y5Da31g#Iuj=TZzN26x$?~nekQ+RtA5%B}TeVJax8E5ZgVf#5k$rgU8Gilh9Tw
zC}gMbB3oi|!Dswdr(eMC#U%go3>Q+bUfCk(25g37?Ilw1|AwDDzx(NAfLwcQ6`bVH
z^0T;$<KL5qOLvCkJ>6NiHk#2WoCiuG4K4Dj4qZ&1p!{n#hiO8WN_<uUmIhy0vE@do
za9EXSUccfM(_%C#*M8@qDF5ln2C%4Mp~QZ6J3;&#uC6U{ch|iP?;rHk(%l3S{E*?b
zJtGPRmdy_{GfM6ZFrM*bg*P*TGfiEXgnOmxXmqXTi>>vMV^>#oc{J$1@KN<5k-pf|
zNEoAUdbwkwkaPl~3LT8Tu<sD4p=oogNJ|}6ht_@{a0={Vh}d7QyCZAd&asQsjC>39
zWi>S=`yjTleXt6%slVYkmDmX^=lo3nxvwzMrk}VqK%8x)q=1TRT$|I1(VB$5Z+F7a
z3k&wsDK*dfUs4>A!ugKe+4$d=1BCvBM5=1}V=ATdk(}=?uW*sbgJ-z3$LSm1ywCs=
zFJFQp0bcEDYb}ADKdmkG6rt8ts135nahejRg#<^{ULjtFSF1zhI1zCPe$e8@(#A(O
zGJhjp^I^8oxVXnv3v!(~*-i>mPoI@N(@Kc!2al?Ut&b)lhffTy-xvVh2k(mD5lIsx
zv$@h4&YH&G{iDbc+t}Mbg97P1BAki{v;wI~Ck9jTq0z401%&*r?)eP@pY%Tc1>(CA
zaqxa(scMGfT^UIAo;qp0&iU)RpfiVn*;iws`~?dUTciDzG@7)lq6>@e^|+E#?e<Nn
z9oNcP)e#xHSPvt`2ibANRm|N#h6IlkJK*i@+~HydMm5jN<OD5qTCl6&!`G#{+UIfV
zGyViv>NK?)6AmjEG<{EB#Ca>^EPo@x_^F0J{LBy<Q#5I3=mWHCVT7*08Jm;w=O?MV
zpf+=N36#@d(Z1K(y$QOKl32=JD<}*_{hlnnugzJWb5w5pE$+eoq^P28N;T<k?}!w8
zJ37}d=eM;@oY|GW<{xh^=q%jt+yZ_#iRbV7JRezA{Lys}@MLD-X9%_K4BCL!1(R&A
zS{Tgc?tDR#MlINZtm4dwipTC(rU+p_v`x{fX^StPA@x-6{dWZZFv-xhq@ZTKudovh
z!mC#PfEso~3zl&|r{*{N`>fWdGE^bn4+-Xy^DA5z{7yo*w)5R*$8*qAU92R=weTyv
z19*J%q~f5bC4P$y|E*__A=?beH3;=C<2&`OHi=5z-y47al{LfJ91)2Sub#CTl6-Mr
zHkxr%ZAh<btUT6B5EX8+(ByOkE7AQ@=k~(ikc`CJ=VMuUlIG<NpKg~Ofq9>1l>tLP
zi@|x{)YgexEhA$A9$yhR1?cXleGUgCu%j=pVWSGMf0QjGXyK*i$xaLwhf{Ib(S#gL
zulu~5!1}!GkoMB5MV)G#5!-@i#t@{NvPG?W7uJ5U9NcU6zv%A<l?EHgXy+jVdZpng
zh0Eayg||iomR14}*`$23FA;VW#YkXnJo}B&U!FX6jCa&~oHPGaSUrWZ*;sW+#l)p+
zQ8|>{OuiZn*^iN|RVBm2yW-aKx2>IuB}Q!%=B%l2v^;*f)?Hl0L0dXo_iA<z1bH_}
zJv)KQpbcqq=V)XIHmi_D6zY|mc&$r-80fH6;(C!_F?JWJKSbOlg%)*{Yz4O};d=%w
z12Kfr;NmTpV3taz2{u0qGFXsz-&8pqg}0|+Y!_|vCjSR)bwu3}#_rmFhUG?K{Kw!{
zQ#V<LvT-=G-AvH^@Fjii+x+R*U@tWZzK>S=4Z-IUIKsRHb2PW2j$f${n6*JWv-I6%
zlb@4<9V#S5llb!N%Db-7Xq{!@=?j!gon!Zt5c^;7V^W28$;%#H3740k`)EQan!9i_
zHvX`E_hB7Wg#V$DFF7)SSWvv)9VU)jWAFSyHo}F?q7p_~93(3T=q`$&PJXe61#HWV
z^Y&lx(w_A{XfI~jZy7-W%jY%k-;$+9ebAQZ)ZK#FI(`O9qc%VA>?9O-28vZJcKj&a
zjdQiev%GAL^0fFYCVhi*mv5IsyF)LPlutf(QWH|UtU?+JZ?7j8LW*!be2>mHFK=_n
z0uX34hSg8Ia}12uHX=;&lBR$8)p%hCjVdfnwBZO_T3mG!LmQwODELloIOQMmOJ3G%
z`trQ@@`qqtwoZ6d7b%A(k`=Pm9ASn+bI6SNd-V+ONp+miCy$7+mN#m#Vuh09?q8kx
zX%Kd4u{vFKqDkMRgw1jqe61`}np$LToF5+gF$iEl`|**FvN;8bq|Kjo4-uRFw>^ar
zHS}6^5g8N5*8D*e{QLcZU?{;+L<J!?+eI3w@`UbY>#LIxm|&82J}7*_%H?<ypR)Ky
zvJ3ond9oiQ6zDs{J&GE`lKIgy34^-|dwaZ;VYy2X0XHFi@@#WtmdK>&cvO3R_;Ueq
z*&5YB^=@d(#0J1*c;d5&OEE~>RtNx(cN9^Jifp^Ud*N2Eo#S4>qW`jkPPFNQIOI;t
zDOiH=gz~4*`CNE;@e>YLRA2(J?)smrk+$>^pobiqAU(XVSP;LZEq+|`=;(l`r6rw>
ztu1=XvDWZJP*P3#Ua!FzV(_%EIs-f#+YC*->IaiD1&eY`MQRVMyM*Cj+xaW1e$6`4
zTJhNj4<m!x@V5bOvVQ1%&;#ZC7IyT8Em_jZqFkv8Wm^tbF^m3C)oy91aQ4i$hYgp?
z2n)3YA@wW{Ll{?{!K;CO!<ThzjEEnc1_F@)VOpwU-60N^w<1Eh&<QQ~k`m|qsXzjT
z7fYGU>d+(Uh9ASK)Ok0!63ue-3C7)_fKMcZpWcPekHDsImI}S9kbYlpyNa&-q}bUH
zHKG+~l<*TTmQM8Rcyi%`+Q?ji#aL2hK+1`9bm2{y+Hj04mV7W&=^tBT?qDLh`kB{d
zH*=Xdt_7u0F6qABT|iFZ8Kt{sXf0<cfQZQUYRv!%IqTVSpXSA}d|Jc00%}I;4+-ZG
z!52=rTi()A{I<Qc+EhOB@$DA!dmpN!Z=|jYh9ZR(gQdv!IRynDxwyD~`Z2+{mk|8m
zSNrs;J)CP5`YiyOMhYg+Ab@|J=#QZtO)!L{2_fb9Il{!x{jR<5mn0HMhE)$_dTl%b
zj+m;vT)vt(xHb0m<m1+!`4gTFI)TDpdL2-m21CP)jyP&)*9F>g6Owo(DA4P*ndnE$
z9RE0xV8rMRW<?<kkFd{YJAx1)u*ftz*{S5@x9d<uNmZhW+xA%RE|-ykv}?(y)zB%4
zb6^9d6>(X~#FPjfCZAdoVy?KlLVf98ka!^#vs!O%UMAy-oBPR_1`o_}WJ8d+<b*gc
zoBI(Ok4sa}gR<z+Ru`>+U|Y|uO3}M969m_4Ycm_~&erhLAQT352F=!lA^3hg{-`pE
z0Ol!SL^xd4<+jJwk$Y+PBC)aMGlKY^PwOPB5p8)$l)m{WIG;#nRN2^>tkka{L6V1-
zg1(J!zlN2EE3?83PpFWELh3$5sfMuire<bqqbQLfE<r2knwEKYdT~xBQ~{GD=Bd}v
zB~fNyz=-2_egV~{%e*v4zPMykqLEvjCNY_YdE|^I#Sl9`X2rFN!JADq^s$HXYv^uA
zyT>OfrHdHcqG~DG31s9|CnJjWHcw=k!?2m$S&aQE3sBkJ<d9Xy3uJg|3wsV^yWxlv
zU#Q70Ec|3L_|a&ZO!(o6r+cw6VY8>KLS<W43Tg+l%5bRDbnhS~Z9dn@{rKmF#>Bs_
zZ0E}{z;BIQetCqLzUBgp)4@gz_R;t#vGYhUhc-i?wP(EDjaxNhr<c7TyDj<wnr``h
zi!SjS8qzQ^{W%b7;#}UPylU_X(|&h7%%%OywX>e^IdH=j1sk`}c~vke3DIUXF;qdv
z#dWkmg)Kzlws$(W0}XBar-(4^&7FHs`$}Lgup~A~FH&^`f4No|Kc%WZYg&-18#}v`
z0~4bb-oA1*yhB<A>Uyo&H-3)F+=K;eb4LBTwUKeg`gijUo)jBiNtiYW^;)_M4CP_<
zC|FXZwhgIeGQ#BgIw!(pg#G&<t%mdO;Yg#7kecB`UkBOmSOTjz9(QCPP#O9I3buF`
zSDm=}(q|i$1yj5W+>_`y@egPOdx%3MjjZL5Foi0maR~<D1=m`TLC(*F;?wv<u0xcC
z(A+nV>!h#K7WJC#FDx0Qr8QMFMD(5F!Tg)KR#<809dt?IYz{W8urWv>{;9OByelX6
zUXVQXd6-W0<k%Vlo+9(x5^_{Z9#GUNZ6VA#Uw5fr>H$5w;+KQpt}mCqd0*{5>pY^U
zo7n#G0EP3bMFCHNQR{b9dj;au;~b`uKs`D5>6PFUhzB4{(@BRN4V?oK)?BV@c$F%5
z(9lp~WeR^Z#Xw6beG<)n(|2%f0*$vT9_gzAqv!Wdc|7($ppeQ2mu)(7_Jcs9+7Di3
zr(vJX6%dDdTl#>NKyaK{7x*NK;?-G=my8|+;TBesHy0C;)&6wKibSve-H5J;Q+||A
zRQ`K~e;Jwby9Aj_sPMWEv5~UUnZCa6kMhzLnPq<x?{~hCmsQj9d0ez(0Qw~6t|u$f
zYAKO&CAk{yz^S`XvKtNFA!nRS`a%yHgG=?JKU|7fDbVO36_vb|ejUA#c&W%)0xD-p
zVSKq7dr?G=PYJ^7=2eT#bNS5&I_Z}p`Mc|&9eh)->vOFY`F3F^$Vcg=g4avw-CJ&s
z`iTS_QxXUDufAof?A@1Z361Co((|6mZ*PCXk>=WK0fCGT`W+IJznR?4W&<_Fuw?gA
z6K@LS3uw(w-WwsM!{sqF8ai=!7P%dK_)*xljKR1bAB=1ZBJUDnEKzodcsi!z!Emq+
zQCc6{p5ZueWcn(csPDRCmO}~8AHq)Y1$f970~1MfxwVTgU?nfIN2X$hh$?qp-ns@=
zW}0PAcc}cZUP46kryy=~qXv5gJDln>VeW2FC$RbCusHpdyV{O-{Y<L@xF)7gg_xp~
zP@#K5LF$gR1j7?eV@8u~kZ~+^EI|qeyMq++KQ=TwCX+keg9#;!m4^<H??85AD{<K*
zS7wdT#h46ldKh*7CicxP|9^;@EvF@n-wel!KH97lv>_?cW1C!}34bC+4-EjAKRol3
zvrfaHPDTBvgLsxM!;}6a^LY|%?8Us;$&b|2p&RSP3x}lttU%jB?)24h6%GMTHP(Su
z^1UhWn|ovi8^9L?)19A!2^)zb)}Okm`S4}~8S%y?B}Z^bGaGJ&m^6<LoM#Y>%9h9a
z(c!-JRK;qgiYhC-c<tBgXq$mfB3L@RL8N}685u-DAtA;Szc}$&4Mp-_xowsMxVL;T
zzg6o8S68!a`oH_ir?QH^w`-IS{M{eB`qQ+P*W8R32!}fO&A=DNz`($lR7pumx6N&0
zyP4rzRX;?<GHUAl2SxoRdPrG;>aIc!gI_J^v!3D^kZ!-1t1|upTMT|xGVyb!%o!c|
zz-cd?rhC?~L~hg{AltbV=Q9e@brsUuBmz@?6~F#4faTvS?G_aTt0^5-Em)CbggIQ^
zn6=k@Pv{h;Yb>}ainNxj9?QJX@4wwcA*ItdUyq`2Q<UhB{^l*$N|*GN%~V_X)2~(3
zjwjFjbmwm}R`x!?ve<0(pu~qSL>oRBL+)9@;YKO*sixWUc4{Utsf4}1mJ>L6i$h&O
z!31)D*x4?CY>4gn?&cP3-1!b|o0EE`i7cCM+kP+C3nV`Gcm5&7rKf4Kca}j9Tc*|`
z%f^tvL20d9Ql+9n>35y(zV&}~MSoTsLPJBli?jX0kB%&Kn;oD8y>8HM{wFS~g(za=
ze|<stN4BrGoQsW(4cP2(mE;$G*oLmq?;sF<y}@j6Z@)Z9x2NFaBRHJO1_cKPziHZc
zy>j6&YUaGRIh*I2^n=&w%y+A|ZC<bwVIlJYkG3_Fm&?sm&QekUQ?mcsTY0hbGLTMf
z`Q4oH?j66}{u=3iFjOlLo&5`dSqKG>jRS-7g0x_6A3JIHq=hkKJw4Lbe=wJ|ZP{he
zSv#qjG6kqiK9s5j9SlL#dUHGcYUt?b5KJH}^sbvSE}uWsJu!hiCG^bLqT}-aFJ)qa
zK$ncn%&T4`mhAytgO7m3#Ki8N9;nmB%DxJ%-+&{x5*!x&$bkr4jupC;G4hlpgm76o
zIq<>3pnHkc^A&N~uiD<-1wOTg8zi@(;<59-NfSDc>$c1%H;6yBxq)Pt;w;MVBQ}fD
zIi=Qd!$J{!w>Q>^-8T5dsTPm_VlBv;8jOfLok^a(AM#8N=tCZ%ncuwxU^pYU%XXaQ
z(C)Qm)kjDONgHjDOrs2v%>{PP&SF4B65K@!=|%Sb4`7h8u5P44Iv2tqM4a?bd;uFh
z4RMZI$6cumUT4_j<Kv^1-?SK*nCLh-MHd`4%d8N|8u<5=5Oj`nNm+S$t{Oe~{5%?t
z!~-xT{4P*1Kk(6TAROD{w6f{rp9J?QX>2esiD4YZR$Z2Y8=GA18&?~!!_!%{7IBr(
zy(F}=!m}jO5gyN3VrIv6Fym`tg2?4u+_#yA-_)>7Z@LBsKr`~QAs=W!i{HE^C6P*A
zV_s>7+TV!a(FF-!uE@z$W!^kI;xe86P>hHHcv8ZjMjVvrc*k(kG3Tu1*lm!m)F|EH
zKoA2@<1H479ZyKvU#r!y+yh&?Ts~?F+WymVV`s5;#b{2G@t%JASuToV%<_j{0!^^C
zi<wN9_gN{9U|k%XsmIpyFhbAX+`-UGEn<2TCsnqHrIid?lm63N;<8<xi@I0?QBkOQ
zD^4OJqED;DL`1Q_e#u6UjEs;!AMWiPWmnr;SD*p}?$@1<)|yya-Ts6xFKaUDwPLNT
ztUNsI#*BETFzbaw^m<3{RT~hcz<Cg7di2hQ^q|p<pm@zmc3=?~XbyJ9;tNmh^%uo6
zfl7B9U7t)=t4XvQV&V@mBHttwPa;GU`mSD9VITor>>!v>X5Amfdy!OfalmFS3vd`s
z$5Jk}8f^0b(~_4^_(?q}>V<E=p5c78?d61Dnw*?GcEr?UCycfR;<>5mNbV`)6B8qD
zD2Iy6IN3jO%|G?skoQ0|46M$tDqMd0SGfN^5-J>;nxkm0_8(!Dj^VZ(>>onB`}_k?
zzjv`?%LXHQrUlFJ`k{l~!=zuL=ca4EM<1qUEc+gU3AZDWrS*r>9$Yebe9)i$mLq0+
zomA5YTg0{Jb59m438^p;AmT6NRp<Xl0cQ5T>i_R}Z_jkP*blyj9OA3MQnhBUTY9fs
z$N;mr54?_Z>XzNV;|<!5V|%S(J}CG%$QCbSz+S#SH9C8|Wd-Ox&>H5TN{vTKI3x;Z
zc=H*~pM8$>GlYk@u`J?fY*ykAOnxPkizmv@lMI|!_zs_OI@zHTitYn7%7djKx<wh%
zAk@DDm@G;G?HWq%XBa590%3c*$3<KzeKHWm;Qy6e>5CW6Sk$;*=rigz#}Z-U<A-&4
z-xFAr7#ka-;o~C!F8}`hnV(O2cfL{Xo&$*pjxP_60=M(3QL9c6T~z3R@!!c_9dc|-
zGEAffxbGN7>9S0b*YshUb=nj!*rnt*@Y*W*A~KtyKyLM=Xg(4x?&x?+;Qn}tCsZij
z5XYK$BRT;(f};R(oJFjr22<fzG=xJmbZ1~I87N<J+0%tPi-`1xv~-BcQ20i(P*Hh~
zfpfL+^{T3MA<bf<S5yfn5HmuylJ2%u`E<ObmVB%Ot(rH@A$}UsQuL@V^qQ=&II%rC
zHSqj%0o%mfBPAV=e*rVC25vDk9<Mj+lQgJ@f0@`<>SON3@TSMhD{t&KI)_~+=J@CW
z<E;znID+i&4m?ruwK6QFa}@O&{nn+}5Xn+UGM1Wxm@&!|pJ92hj6WH0D8D|i*N%$Q
zgnvzYCt)iqpj?{U)Evin<gDQ{Gb2cielP(1hWCXY{>{kF;np$eTMh$+jw_ZT(3nGX
zd{|BSCPI&5qbTAjil5-SM-Xc*n?ZOblt<;BQw6=_t2n_xVL+J&(e6<w)xG_ZB5A_5
zxQgA1r<S|C>_g2r=<<VL2!PP*jjEcOn&D=<Cm^83`LK6j00sgKJ^~oE>*4!Cko(Hi
z%UK<FBwntDNO?T}QguEa5CU3JS0Mp^cf)-Pf;y^&Y=8d#{d?0gA|j&iYIlguxF6o-
zd>!A>(b41W@$hOp5H(LOg_+5BlqfpOmQc~~X}t$ekoS|Yx_Rm<(WIV?qdwi+s}0=S
zt9(k4I7IK-9VCS3WdHF4h0pfl82)C@dFs==W{Elhmf2SSK#)tnolr2eKT&YruTyvJ
zz#o0DSF6&$jc5`K4~1zjR|wxvvQ<mJgl;&K)bc0X*ea6T;qext_QF2)_6<S3hCJrK
zUjhU=e11(TcWMU|?4~$6IDb%4)Z^^IcO;ml4-*uAe{uFTo`UG={-tq<3jzYbeW1R%
zIZQ~(o4entF@oOo*hPk1f-3Y7Ab<8a!Mz0$ZQ>~_D?j`lV*wu?!T}(9<nB2o;V6hG
zaCqOz!_yO-3nJ--tbD4gN<*07MOYeK%eeNXPg;EQSd2`%NK#4e=uAl{76QS}q%gY4
zF+P3L2Vd@-oUlhbk(0@;!9k9cEVct?&N5O@X;RmFe3N6WlSco%Y>guCs6rJsE)t!P
zojj+=hfBC#AyHLIcQuv6!NnL(L73}bT+X}%CzD@Kszmcu=vb4pTC7KVzu=u7Ttq7W
zhRvM{C2M}<@2hjB^`$EehYXSVvx9>KzlJ{EqSdh+Vu149UL$27x)<JGjfqkLtHIQo
z?LPE*7ZAR3?%;bz4apFyzF}8e!vTXfqyaR2L?#i9AXbgW?c&}TSbxAQ6Qv!P_oAY!
zI4btC>C97ej72|I7S&D|%O?4u#m~kaI^O+}?T%8FZk|EV+2*;fjlovz-*imjeiuc3
z_tlD+9^i5OUSzV@4-~kX=n8E!ZI&A#rgwl~2Ib|&NEG!xUOp`y!=uO_csxR%{9e8C
z%JYf)IStBWTQGQ+{yGYsQ=q(IgCGIV8HDJ509<ix=%p1FMxkx08gBg+b4dCEYsLvP
zYrmAsE|Tkg-S)_1*k9iXPkaXFP70^FGS54@kc6nKG$lTJHMZP!g~gm%Ne7rDF2f1@
zZ~Zy3{)~oo&?}%;C_z$&$j+T~X<SZ2#6rJ9yASM1T~|v?fN<Nx8$#>s>`qc`hsnu0
zyGPb#D?Ag2KPI~l{jP894tX$Z)&NG9Uc6JCtxe+`n3gjc1pS&+7-;pII4xl3m#uh(
zp9o8y#lnv}`>jB|VbhC`M6efu&H<ZuPbSRcc^fd^`-vhBo*)W`8m6$>hYOn4EqkD|
zYX_*ICR&Xh%r=m$m07DXJSLF|SK3w9f&wdjKgd8j@pE4Or|oGBIAZ@D@wv`{kT=g1
zN97X<e(3N&)~AywHyoji^;6jb0oHyBc(&z~r%@ON<VFKwblii<^7Q3))+0w1BoD4A
zxG+jS4p+34n!2K>ucJVkRrnB!tpnps3}l5GIbWQ7pVvH(xcgD>{a*-Gst=K#mzsk4
z)gWE3pk$Yl69U)QvrI_i;!Wm;aDh<2V`I7{LcL=HmAA@Zv}dIc(p)hoV$N!vZJr^X
z&h@$qO#A1`SWeiR`VSl!DAS&}X{;2-G!hgZPmnhkgcfvn|1<p?x2AU5sliYgB5z$4
z&h}X?<keB5AJeVCnq0W(LlktMAUuY?S_w#BhI4iCa;zaeAK6c+25aR1Fm={ZQFh<k
zA3(Z0C8fJlT2Q({8iwxf5NQMv1*Jr~B&EAcx)G3Wq@?>j<MUm=_5Q&^U9+5-`#$$R
z`&|3lpH143eERFC^WoeP$j?9*%;JB_f>5phGS3_%eGEA?Ka9>)Qq{wIw|MrrP}`1R
zu|67|aT2#__X(D>7^=48c?i~q+ONx<SZyF2BY)wj|NQwKv2}3x-w8Vr!{L|&ENvOK
zTs+wqm%Z&kbw+m!35*}PkzTS(B13G*t4~Y}U%%CKvDtpjRJ^~0znIm?54%YEk$YM9
zRqFIrgkmOTcy>8IQ6gg|)U@%*SoC#YOx@*BuxRMMs7`2Pk-~3^C{9QVO&%-)9gW%F
z(zVH7JdLj*`ihGMcVel$ODDc~#`YE@RQE;B9}L_V+>0WQ5yCzA2Kf1{?&qrQrpR6v
z-UKC<{X}6T%zgMt(n6546|HV>nOGL1Za@8}kwtEM*Xv9<BV>d`m<~Qmy=7%@JxXQ9
zvx#bxJ_-0u5m1peDvpkPHmr#D`s@hf?#P;;w<J&Lb^7)Ny8Izr4jN3xhWzAsMNiU#
zgu=>~8$&z$V*NO*0`XtN%gxR3j*-&!A<<NqBOCty1FCE~-jmYd6e+W4t|F@}z*XE?
z!x|y_hc?@R7||Ae*XOtIZpwTmizUCgw`*kaFz9N_zXgBDj~mb0<L;o^7f*e6#j9Jn
z@jDpe5?Nd+aHy7LB&3B|`NuqZb@IlnJ=ydstUgEaas+2qh#L(A3sOX(;5#0yd-C|O
z`|a@4#mc~Z&q8CPQ|bs6l<;Q#Xu{Lho|HMo&Q`W$AQTJLg8Z_p?}^z8HPzLHo3yUK
zJ@7s2<!R7KloJq-EK4qCp$p-C!XVUMN$>gGG?dk7uQ=)=<QP|Ne_fxd9rZwyQBlhy
z?~8~lzv(j1os>5{_i&2q@OT~7%I;A?6`{NznHiPg;&Fr|NF^WZ&xJ-7htzWod%W@c
zyuWsY1h1(Z8`?_mJAXSI@zSd?qiGcVMe}?U$vFL5xL9F+R#;6-o23FeX!~c*O@Dcd
zY9khx4jy-6_9;i%1&II)PM18g)a}gkLZ<I>y-5MjdJCXO7ghBc>T_2eN9HgA?ihAK
zVMjNC-lxSA)c$7&2k)l`k7R}tw3^R<2>>bQCHZoebkkxMt#=GrKo58--X>gL$XxX=
z9b>pe)EGUl^ar=^i<`@q3(JMGP{f)0>`}lH(NY#!psESm&2r#}m)%#}3kX*aEsl+h
zh4xWNKy*ZWGt)Zl&#C8K+kQMQ6%}<RHER5RXMR|}jl4*!IN_V-+o=t<?n70n#SSf|
zn#BJ5!}+W=@M)(+v`(>x!WN~k-X^lJJ#pMr$U2opo&HW5z6T<c<QaZ~a6y<Oo?Mp5
zE)M^Xj!rfYXT-=iM8%pTB%99`8<@VjaoI_T1udP^HhLY!+9E7>Oyf#h8z}`)R*5uh
zkg3_fC}BQOt8rvZ@+eH~ejzLTBKEBpl!9I-OT^uY1wJQi&yiX_QH!Bx#kC`ff*Agh
z3){oJdiq_iHVZ%6k9P@vH)QV*l{zbbzf#l2B^E!|{}D4=q(-@^Hto;8e0QNPD;JsB
zs1YK#9T4K)$GPl>g*MTUlg>!@*Md9pSJV+1i#)-}&CC(;;sPOE#5LWsIZTcbBU2}i
zY0*K;&FOl-QV1h{IgQn_u*G(wq{fTp(V}Id?tRzqi(0TJ<dSV0OWObxIWYUs7JxhL
zU9EwTRu|)w_36vQzTh^>o;2&V@LB+I5!I56bS*5b6mK!&4zM!`!#WFjr|YdZh5zac
zq3)X99%j18hnT>}3`r?3*YCnw?+-7oc9vgMcvtk~<tjCc9YDds*N4u_G_ttto6|k4
zdH}pNvS+6e@!r@Tl~r%+tsIjS2;JNjTp#W{DTD*yTq}vQ#$6)!%0Qj_|Nn51<JqiP
zQzx^CV?hbxc>tXO!ur$sEW4N1qKX*b=7|v^klRJa5MdGl+l;Ut5Fmfe{!IvA!;BR8
z+WAXg%7<4}Yy1+ky^7UZnvG~Ze$;z?8@q0D7RS4=AAYaq4AZl(f~EzBVgn5r$U}`v
zCMH-6l}Gyq@OS5$wkiI)DSGyS{NolRBLDZP7$}N&v9WvK68El89z>q}e)tse-z9^9
zjUq=*an?IoB0^;^v>k5A#p3{t*ZsG3p<HRl@SR33y(O)aH#kPANNW2IM@~N#(gJ-%
zgROxC2y#f-#nSI*sjkq9qIEr0-6HpD!H#oUthF;gjYcPrm=zo*=y&1qrnJ=ZYgLIB
z9b*B>_J~p6YACVGTDN83jnMyULyTC;k&AC%{wezN%qEAT*o_CSu;N>~dSMwuIwQOG
zX}rQkk%i*LFTZS$;!@wI@FK72LCr-3H8$HW;>P2Vz7-RZFUoJ7HPmYl^HrHG=peG!
zRAI4yDyfm^6sGodr*Ds`hB-@Q6QXX$W+h+b$oP9ofgXIzx8s^OnX0+iVgY{b#Z}=_
za>ub}|LP16!v(JFrN(eOXlrH7sk2=@O`_uSXYhX-J>~WWSba7#w2`7YUKM)g&%DuR
z)rpK5CxsGbPOf>%Z4aQ}3crq5Ws#OGM3%$&6TV_R;&Nz)o{}Q_s894ohlZV(ic!T#
zYA8#KfFNnVZzgD~FmXC64w$UdU<>>P>;b)>x7-UU{Vn11B}53EA6n7VRHimJ{_W@x
zu;VYqv#-|<X~Yzcw{Y87K<@mSI$I-^jX3D@$b5hGfbRB?90QfrxiSlzJ?jzO@7%Ua
zYGT(TfjH5!R|h$cdXK9*S?mOhSv;`iczHNOA}R#IrODXYUBdMGx*sFSO2D$%&nl(y
z6O%$LG3HaWZiCG949GV^gBG)jEAy@?Sc<e_gGZY~(+IUm?q}+5yg)({i3VP=em_US
zf)lwvJ%|b_(^4+MoI?Iyp}xv+Ho#0hkw#em(G8*C;#=QXQQ+$20%nrsw4R7NKgZXB
z%yL#V@Wq;B@*GVw^e|)*{mkYhO+Yaz1nN!RZ_(&EVN>1TKNRw%fLHa;z^Vs<77M1=
zGvoG+AUKl6K?HeDL*ANK;21XClgnnP^mF3Tak2-GuJ2Or5jW%*%R|a0m$MV;R_gmS
z?WTo@aY|)l83RqhaOOCq5@bLAJVwh~bH9<s)gN|d`|vM}!pKQW;k*k|+m%W}<euGW
zGtnh>X(YG^4|jK(@N1=Mu-%1IC!lOkf5=u{`@%LZcVF+gbB%EJlu%1zkC+;QbG?w6
z_xB#xkxaqlyH%CE;;vs$w}{%dJbfkIY>1FBCiiEXoSVRFbqt1w!}z>U5$hcX%LtH|
zyQr|TDSP=0PAK{5jk;rZqgvALKutEDCf+Qk>k*%)*xr1mH_99!JA7%2nq!{Oxb)Io
zvqCeMk8akbh!v$J$j$ufGd|!>=Y?G4PPZ^;JQy(`PF@x6KvzbL>ng@xIYOq`#W`=@
zK=ye5>CNNAtFfp0Y`s;3`KEU*_bwcVc!`$hXWEIwTIO1IU*ldQ*nO!=fS>7H$DM`S
z_y154?#C&qe3oNOx5rm_$!Cdn@;PCFM8Npd7wAFOr}nH*YOKZK2>Nin3%H;gR8j49
zY5R$$?#k98V$c#6(8aoTfz^mCpw^rYoS$&+O%q|N4=)UEkenRfx`+w!S>5Gks155{
zg|t7kt(#3wlbLnFD}mnhryVe=0f)xN=#UNb)ro;;ozIoS<>naZrF}KbOZ1gd2BXz7
zQn@#f386c&c2EprGErm2@XNxAr-Ut;Uh~oHmJ>ug7%wT}h0mm(s`^L{o|$Xq6Vq*a
zAi;MouF@mN=*i@R9ny?@rh;+3d1GIy)SWd<y$DB$aLY9CH&bPKa-(UX(tIa_2*%6s
zmxaV%^;qq&*51x&aO2T_rp;dJ(%OltR92j$rR9f|xPNe-5f!H-B}+t=7!1~HKwYPz
zjFHz>>dW4_^t@;J9_FrQ?li-nS*E#n12tmhv0!n)17-qT^G+*TGNmOksc@vCOU~b_
zLde3OW7_S=B;@Sd|B*G?t^c*U);XlUI#_WLlC-o14^9K<L-f{L&`+JGP!R>ugF=OT
zMPHw?%xFaBTgY=WD2>whj#U@^FI11t_`pC&8R(u0!)xIGV@lw*-YpYF$<j8vjxxb8
zCmuc{6b)}aX1ig0n;C_5OQXWNrLD~Qr(%n+Eo9RY$4ruO{g|0?-|6B(dqDR<vCFeO
zMH&xn4+VH>YssB*reQqEWkM$<7DTU7!hJnCOdMh4?}rf+18UJ6`|}^yIOrsrNPwHS
z!r`8SY45pwK^;!5x<o><<}<F#oSD55PyL}rKJ%|dXNa^j&tgjE3HD}u)@Td(+;XiV
zQ$wdrxbt;QORnYj6XrAw`21NAb-t1}=r}-`ZwpT|XC&9Bo<b_t+nx-iN)X6Ul7`5b
zI1#_MoY}9*^1$1m=wxV&OAS>nP_UbSX_Vvw@}&@)buxg0(;US9?j_BF3mw?V$`=Ul
z+C9GeI}BGiO(u5L?E-_nAj8;jwlWlpK`@t^%TfE%e=jQ}uzU8k5lwK^X=iJq2L>Y$
z`bUo;Sw0lTLQf$jiX}A#ozdx7qk>dN@DQ<ww%1^JPtL58fxeXJq_K~_g;5i{v5hQ<
zMFV(9fk|P;3NP}m3#!#iHf{9W(bWBl<XE75-cGDrADM<r;Ie-veb`hb865g>j*s%R
z=c0W5#NmuujE9fnu|yaR!h|A#KX0zIOZnqjybD`tsQHv4xBW7Sr){pW!dzU#P%N%+
zPrq=iFr_c8?6{5HS5kLP^*rl-3h6i-y717r0p*@#=jaKv1Q8}WH%;}MHou-g&VtQs
zt~Lw=#xvYjFURK+#Cd{rgDqTpi~V=@v3b@}m(<q{{^*WclaASP-|R6#*&T@Azv}sM
zzm~Fd1vyl}U?w7Bk7e<pLyH)il-u4bZe+mQ0M_Wn?Kf<hA}#2Hp|NUg7dQXo9T{?-
zbU5i~94`!*@gGVi3gAsL?zhdBr^#^dn*rV=a&lF;@|LZ!$tygvtqQh|)nS;JAz3n;
zsAnWrvT3nn+5=Ik!CFo%#h<B?(iEg)wRyLsvi~ZAvn3EVT$oajcLi>K)Ts+sFtI;b
z(DTB?Nh6XUOh$+-Ig%eTOVEagTx|^pb9-swWPFvNFqnN%m}5(STQe+F3QAK-bF#Lq
zN_mRV8FuwG^qCtwi|4JPqd-8oG#l1^F>?tm-Rvv;nw9AxsMYd9XBg{y&~Vhe*OWEA
zXS4HT9ccpo?aB%E)=C_5>y#%eE8~`_7`EMk0Ufxkq|l+!7i|Tk_SXsetgEX)mC*JV
z>l~VSa|A=>B!b2$6^d3A;&>+%H&?D2VG5N<hHZTsC&OX+Ia7(3d3WDG(S?~1g6nFf
ztUSJ9*-U{M33YqWYk{3qtB79wYeWx=yaW4LZp6zHf@)a26vqAg-AXBsn(=~fcZ?eM
zFWr107n;#~xjEU-88o-!W{~xtsU+MpQOA@GSh6Uw7@MTH9M9_N_LI_?e=_%6ciW@v
zt;1m}k{fceO-mFo*fCX=Q$Yu4pc8r(5tmE`dWz8>EUieKCkr}R<#G+F2gkW0sb0%`
z)MCp?xTA-M&UK3D)5fyUZqW~ptI-GbPa!j~^hh^v>HoOHGK*<pH^0bVOJPA|07#v-
zl6T>?xmsiKh6rdgp0+Z(&-#y<%+Q~9TA|yM6O&Dm-7U-?1E^y`T$NQ11El@Ot$f-X
z9#*8g5CdtgQ7O*UY!@t;k^Fl&g=Qz*T!jm85CVRi+1r}gxr66(xbC|bJY<V=%S_@u
z&A(T{JuXyG(c&K81kwRGO5|h~bIa>!R${jms<jxEnLA{x0<1D%1$R%tqwTFmwUWh1
zn@}78%BPi9S_G4UO!szAqRtz(fsSN_kSSW!CiS`{gtOAQ(gcMpZ9d5%KW6Dj>0Ru?
z*|0Hn!`~jHzL#IjwW6>oG?LVc`1%i=IVc7LoJt%WX5oMLCTG00p;IjRuuB+r`r}J{
z)<hf*F~+*%IW=GWM(Or&I(P#q?!n?z;UsDIFXl9!P7b!T$%7!nP#I61W*=&-xjnup
zaOZOF!3elE4^3oXFhGFv*>p1KbM|;W{ZK>-=sXqq%G8>?Q;8X7%@1k7;Q(ku_^l6q
z61f_v8GbR#Cw;5QAJ-!}vztrMa;&ihU=QdM*pB4Y84_B=#8K8Ac0%)CMC^7D#$+{6
z1Vt`;5cnLQfV5EPAj%~8U3fzSDP@4mKX#M|-+t>HIuKPOm+NQ$kI7+0%U>-k`T3`?
zB?rwspR5y0LP}=bkn#%~o}s891!>(EoB0zTuD{Iv9RFa6N5=ZRtGLN*N-)7vBe_rG
zhQgffJ5rQT#^;#pPa4F%0dn0GKbm<U?K3sE+>Z$~$-+4jI`>D3$37+di)i+$<%Hv-
zvW<K*>E@*$(|(cw;*<J2RjCW;Am@v%eDjeeOIc%vAAiscUU6u&$$fsqZ5X<zK(C>a
zPv-)pGtZ-twSeFLTAJGQ6!T>ErrCFf)y6S9^7(4e$?}Bj;+IC+>!USD|FBus4iD=j
zC8FM)u@5c(t)uIQ(qK49d}%Ta!s7_{?*hes(>V&!$m;AIPxyBk$8ytO%DV=UW;3`y
zCHxmJn`8hOaJiOu#|avj)$(5`%=&e+E|u*4k;V_JZM{6Fi(d-{eoCmhE3WCx`-JD4
zlWV~)kyWN3x05+E<p6f=gf0bonllF3w9mz}vYYO-o*bQ7aW%Yk3D;F~H{5lkIdHV+
z@Fg(hn2?r1sPF89Gpn5HL1-R+1kK?TVPMmQhEQTdH?cjttesKvsT%IRQm!J@*x%|N
zJ?A0jX983yP-5+k1tq7Qv0Mv*e=CbzOFXx4O7gbN*1VTiTbb9@{<hFikQuxcN6H%`
z(Gj@UN#0`e-%CQcuN$JU@fGY}*#3~5{*${zHKfm)ZQ>|s$F2|eZ!yY%E<d4wL$t-l
zg{-=!(0`Z>HkKr$0_fz*#tfm#;RVPpq0;|S8qKA9C^lrJ=GHe`6{{~X;B-j`(!Q?9
zm^z2|o_Up~je#o^$vlBeRz4}Cl3F^{t<oi$P}VQpjz2*m1Z8s|dLcAVHs%Rxf?J46
zo@5wYk-_-D4~}jx_EZT9d0CAC7lahr5VUbp!XM`7fp)L!>IVKYPF)C8P6t)v3=F*9
z`Mp5cf<6T6Tu$#->23}Sl*`qi9>l@@_KemJvtPK-pojT3RWP=gekKFWcFYzvDo9o+
zgF}7t@1{-vF=Yy8SbbUHF{S<Mr#yx>vMh)!B`@>&xM<nr@(fJ_OzcDlAP`bPg%4kh
zVuNJ-q}YgLCfnt5X5Rc1G#w(V$k#A!ekgRIXwa7VoRamkk1OKRNj<w)%N8Vi(^9UL
z)jb`rM#-uJJ#KKsRbvRxYIr`arideOk1Sww%zRZZ(pvK{#%h)DMRR?fGHmz7x{iZn
zV>^WU3qWSMzVW^+`=HRRS9Q<S`U`)##2xNUTn%Ex*@@hnCImlU(e~LYQMRFBm$g6q
zY_BhLbJi*AIpI}@$gRc%_Or@Aq#4Zr5m<_emzaM~HS_#EJ?HyAMb5jWVs{XIMFdJj
zW5UaoJ7as+PiFfTz&_viq*|f>2)Kpb6cjMRAiDrwdv#?H%<VK+0S5@N6%`edfc9GJ
zyzF!g^9TWm<jTfI7$8xa0m^K>$L>d|Z`s+jLn*w-z#v;uRn>KOeX4G3y!2;#W~oSx
z<@j>**<GM8Dzo6}lhFkOJ@diD2A}*RNxigzifua)j^AwEF5aAXZbukHn3(oD{#KY6
z9s8PcrusfOcN9%h3Mjj2pDK(wd`_cXlet^5-}(!8bsE-dzDx+>rxG>)SV6~ts;wPE
zRCA(ZVaVE@bQTbHei9akSspODnjBLa+#^GyYrdxm1rec7wz^*CeEVClIWTnSwFU^|
z;o;$sk-@Aw8=I(Y&2ZEL0z_5TqrKn@BqS$C*-qx00TA#@6_uIGYfzG`@H@9FF=`^}
zi>HcAN+Qh8$x$~lDm~)09-&AV^~U1n=ALWxWW{<a64pl*+?=Oc_uEy|IGh+-x7su3
zIG2{h;1gu2#pgHg*^^LWPg46J$`<?U?XBQ_w0zwodYsNX!APvg;5w&atI@ng={uL>
zXT}eKq70?_k;<ssX$NxzFX)r5ypKqmAJ3hJf;V*ojy*9Z>!FMjCrgZ?$KXdzgLWu(
zF}38ugHe{&bo_K(*$z2!ay<I?H+X+W(W@}u)OmvUsIY=A_<XU5=tTcjaBJ*m%@=AN
zf$4?nc<*~T+D-7qFKZG(CkkV~U3y5n=uvZMaxzH(sLKLOG0fWotN%8i^pYowc(OoN
z!1as>4Mh-eT8w&KWko|zk0|PW*d2|}I96^V0clU=x92kJd=hXrF7M*yWmUVZl>0V$
zLNOYpg+N^+VnY8_v;b+=_m8-q5``1IXt)WTA!CX~d%Kz4H;?u-PGfaC?>3<J@iy51
z!NhDBi)$2G@>ko>J?=iaVO=64t`9sQRM_bLCK4<iHJhBg`})D*xGw)fTn`sxF&MO7
zEAPDhI8l|5n1NZTAsAm^EqEW0yA?g*G3A9nTlJ1iaY;v&BHjUCAeB%D0@1)Wlst?}
zBjM@B-nzZa)VK6uCoQmrDnIQI`plx+Y3P@~>1mtkCHsmU3n~HqIZpCPA%vwyX7@N%
zGzs35GR}rQ9NA*(mP9iq{N)RoRyi$ZBDdEVvzrUrO<ZguB&y94$egMV6;34@SAk}R
zEQr1P@oWQK`K!DvU!UZiWLF1GoxCh1T(ExiHDZrLDJ@ft$z^YfIhOKyqmy(cNsfHH
zoS`9wFarn2NTvitR$hMp)}+A=QCL_QDG=uV$HmP$!Y3w178Mn3;YEai*8`YCFQ~5%
z_-?uh149KS<<qY=*x;@dHM1FV5|{Pmzhj2HQO{WVpkZR3uCv~x-9(+Ba6A$A-`T8!
z0GJ}zr3K#72GUfSe!_M+q|`q%sL0HO*wv6>VMX}50cQ^&%F4h@Jq<7~O4{CJjy!hg
zcAf?^@bk>?Gy`8iSZQhL1I*mz^VyqI%E;3`p!SV%Rqmo8<V}(ilBz+|49`0mmuC#5
zJuf!v1;zS7mLl{t)nsYmNwjQir14i6@TwGJS*Or!cOs98nR#4-hd1r=u;wBvt%e=4
zB8S*wpj)Pusl_pSUQ^@9-z3D>7F<QOWu+nZoVN4dfA*O!O(p9`3EDXJixfaPW1Y+<
zD|Y(bC`Fq<U1!CZ^LcU6P)J1NBb4IlQ|Di87t64}3k#E;p#lu|r7e@6Zjlxf3yYnH
zF|gVsr=_9K56jwV$h@%48HyIu+A?3QEf-ezlT)dF6<rBVLx|dba&%`&00f0M`(W}U
zifk*ncsxySz(ZJvWg1Pt>e+a<M$wzN2H}!n%dr`X$mgT@1_qA)fv-rDtiwK}k2id9
z(#FfXFd0AiRY0YcqngPNP2`B`myq3r%kiMYoI6|K9x|eci_GafxexZtaztF+*O({u
zyN{~uO)ND7yaM0mLN}J-QboGil-G6L$)i#IyS@4hdCHslw2Gr#Ti?yuFgp!n!YBTy
z*^j2C#Z0WIk+CSGSzCwRr{QzEj!>Vaki4Ii=afp*mBbK$*ZKVsBn`ldmf(v{3X->P
zo>M1<`xz73DI(a~?+!s%0}lWuLjg(oMgX*x14j=npcBK~J+@<15Mb>&yKiZ3UI9UN
ztN^fZLGYZtjE;?!b#>(idr00<mGiPVkg8;5k4=u!o4!b3Wyo!-Y$a1pFZ_4!sFoJc
z;^f}>mMg*VjykzLGC_);**fZ$gWi1$x<O@TX7<@DDo|5b&uZIuK3r`0$3TC~e(|ot
zeOskOzXq+Ss7SBU98o1hEIJ&W7=Fz1i&3)=_fp`ck;76m>8n?-0GXKs_!YSw=lLL#
zfUw>hM;-~HBel3VrF=YP4`4HM+s~9NG<KEeXl6}q>i$UlNp=9W&G#=;vTZa}N*8He
zbR$4ZLQ_?tu=poIC|dgRbI@CM3icBM0QeqadebK&)if92mZX!Apc?$lE(18}ot>Sq
zPuNl@Mn{LR=4Vh9iiFvDbG{D(tMf|DtZ^tX=fZ;OQp<jjYunx5!NS7A_Vsv)_iJnB
zvM*kkZI67ds3=r)xLR;-Gh6KpC*ijv=r-rhSN-;W`n&FO?R{f4szaW2@<P<Ym*J@A
z3Z%G5iP5h$nNe=1Rr9Dz>q=R0bCt(hC|?uypwxPYDQ=H+R!~Fi-QDM=!d_MVR6ILu
z_{^qBXJgK~uHmm#x$3UJI>8mW<3vbS631X86}i*j6k`9F6qA_**6;~YFiUJtD$kqw
zzlW)MA<soWa+$eNDINZa1%6VOz<L1Fb3x-dc+wD5LLUSmWcbn!;an`Qmm*LkKH72@
z3KV0gkSpXt)LbRyNC2QQi;n%o*BV4ms0K5iJ2R1^HE3SLw!c`pKcei(8O&duY_Jcz
zPi>-5b}xq`?X<$E<7q`6P@=PFM6Y!*JD6oZ_njiER@hAeH+;`Knapja9ZqT?@bY)$
z?O{{-_<A&u;qEUMd~Ofw$PXrK>~%{_+8$~hH>X_7n1Dy=9(Qp%IzYU>X@t2<jm0Hz
z!^%Fjw*k>4un~P6U;3oG3X0>sp)rX7l-DYE2Jxr#f~;HthA86vHQebsA<LV6wu!%A
z6T?APe;chjOus(9(^`f=+Lyk6$;uAOb5WA^tU>F0ZyZ*oNPLBSf+H9SW%0Um$NO3`
z#Qmo=1e{7H(SQgx$@E15twQvaHrJeciAs!e>tiG4@G6IK^7wbbDKgAfB?1OTBR*<8
z-HbrEwq@QbZHI%|NkVHKiFn@c-<*@K=S98+WquF7UPS+=P_P6UHBs5sAYpTSwSomy
z$?suz^St07_zWPAm31wpay35KhYdP$5Y-Mu3oz%k(M~X^<ym*znaw}Jg}8?5Ro7=A
z?ZtgsShcs0r{TyD;)BAeY*=<Ib>iV-9pb!`)x&KfE~39inm{ep&z(hLt|1F~c(n}3
z_dDYVgMIN+j|WRHyhk60;Alt=k4l|Qs-4i$ezKeezXModg_?Oa`yLm?hsM0BvpQMt
zBHRy1exhq>-q!oKcUQ~Y-5IUY%YMfGi+*|5JACjCWYii}U4^9|68HAdJ}2qWTu*7A
zVO@q95F1z!CGjQe`UqiaC*?GFstxV(GX0LT^{}-NCYv#s8mPw7vZd(tK#+Tx(O-=Z
zBXw$_c^m(Y5Ke*z%ZzRUfh)g+dazz?R=Z_ZH&2UhcS;*LM5G00%b4noRmnOWzTw)p
zr>ea5JN@LxT<d{nu}j%0UQ9*rmNz)0X0NUK#2y|9bK9Q@ezI~qUdCVXFk=z2(D&9~
zceW{FQ#86FVmsX8?~l-bShqXZ4*sgzSb7b10Tg%735iDi-6t6;wO?`fwsM2}b0eG^
zsdbI4?jGNNYx=DzTTzGqHqZlmmeNZ^lx=u?VfOW7MO9_<!Fp=y=+Zn2#AiQayza0c
zsL!#^ItKvKSos$Y-=Ndh7JQt7S3kAU0zUYlP(7pM36NH~UAHplrZqHl72rfRnBZ8P
zF+7?5F}D9z6=VLHo0)`bC>v&I!2jS#9&!B!xUDPrF9|xo@!{n~2W|1;zt%-}*)+#O
zx@yRJmxt)2qmwrO46C3kAtN=e6Le3ym;(}Zr>z-q1t9m0EaI_t6_{FH5yZNj*?)#!
zxVwcUrC=QOJq0Wz{_qB^x8lYeSDU8rXoD;UmLvVGOFs80uCSj9$1Y#1)~mK*95_7z
z&%}T7Cfj3B138a7uafWEBckPD;5mRDG0CJkU)beTcWQ8ZP_js$%2uo2Tf{n6mlbm;
z>7@DpRAA|PPH6_%eLra_eyWD2j+xj-`G_RNqd?Yv@UC1>%Qs5c8F|TJCh5Ewru(C7
zvY=V2O&9QsENXKsx^s^zUc0JG?;+RAK{fs`nX8ivh~UpA?EPM1;v~sOPtjHGIWZZ9
ztlE2Xa3ct!DR8rlA$!ql^d~jiHx#EGy8t71e^7}&>sHW|er3{+EC;KRBbgH3By0uQ
z&xu(o@6{Q*z!seRg<k@%sLdQGn_KC$Hj02d%G@Kpn^!m+)yRNq@L=FgaQb<)J$9SX
ze4pw><TNHGy3$chFbVg%q0mrc<1-du#8(I9dMPdxD#L1NB22%udr+27M2ZQe89z+&
zwK>G}ai)1t#X3IcyBb(VJ{i~4tgzVPD!FrX{$Cg~U-p%iL+<JtMV;laN&^KB^mdsb
zP~#hU=pJNZDec~n3fYh&27?fMTLW)RAnnk>f|MB?m3JKy#=_}X?ScmJ9g9jai1@y5
zrLg)401US~?)&u){xrG<^W$C%IZO@s5Iv=azlK1X6~{x2>Zv_VYxZ(Deas}~UHJV5
zkWb9g02B7bZh0ZuTZL?8C7VK7Sq{qLRw~Gw;!Sy*96jKU&yO~vv{!P<vzmdZHyHOX
zYH0;M`=M-89jGCELI1SJT@x8P5+#0h8|?pq|EIoC;shw5M$@=k+eYob@mb)@{+~`i
zccy_gQhVjwWac*aZRStM(K02M%|6v8cAKg06;eYxV?W}>a|bYc2lHBjU}I|Vx~C+#
z!PBulqr(a1-5%mM0HX}^YyZ_G3iexZpEc1xw{)LfvGx=Vuii#=(|UN<^u0MTJ3iRQ
zTy8Z!Msb4)@}jNF@8XF|rahl68IA^?2r)bt@6B{9QA*}`^V50e4uBX0D{wvk=*7$b
zvMy*64|+W0GQMlut$*BPzS`{Z^bTmg0KCpA{)8U&B2W*gxw8|;FZxo>zXB@*NL?M3
z`wXQBKEXfQeOIo?nL3{?psbxo5qX)849Ug!`|?GinQErg$9o%rQ>i`k#H>`nWU2+>
zc&a$k+28PIrQ(Oz{SXM?8QD8k%|G`SU@%=J|HSR8^W;Fybsm_?)?7qT+5)^Gm&4KB
zGN+NN`>Mbc!m1F%T4{GJ2YK_7eX%DxPB?NO^mKVWAaQ(a3z0Biwo&)jP&Jb34R<h9
zXpR}Q=B=<8rbCI|n>Ih)G#u#a9ra$(Skum>H|`kQ#Z5lFIb-PSxpPC|Zrk}g?HU=g
zbzEi<n*qAP5?Y0b``&$7RtB~#)ZDnl4E47tecYcjima5&C9BnU2@9)HwW7&v@rwxT
z)QiIminK`7CZjrED~7`taZ%&`$d(rB)~Jd^k7N2YAwt7it40ah+t0o1TwfSjO|=-{
zaR>PY$DSQU2Qq&l_aLBrA4|dol;8QofYSac@{Q8pa$)M{_p+Xkj5mSJe<W7t=3UQC
z5O~<(pu!*gXg*?o>)T1yV!7vQbftA;+b{jIaj;`Y?KH^T?I@h*OfFUvd=S;>PCGbW
z5%In-k##EV+Z!}|_014H871W~1Lr`oS`D^y8PnyUANV;17ah>YwD4{D7DW%MH|Ju7
z^!%?yqD8Tf#+l6vN39)mPV0~iN&8kks9S@Akpc0-m{MZuUy}TBA}y)jjRyGvA;8p(
znHLNQu!7BCQbEpc)DM9oYpl#n6PX>V{HqIpxI4S11YY_f|9x>-oR))0c^+Id%~hoO
z5N8!i*wm18tbr35Vl~i(2>5`>;K;<=2^3H25F*;_vshA^IqsYrZo8a*4FP~MaHn;A
zD=od#Fx6R!W>uP0p<GIIvy@ndW|R92v&cF7XBEzUA;FUpZ~m%$aW00ZZ@I~+*NB2~
zecwHP-7hCoAdY#*^1+7&J<z|Q)5P)J(4sj+G8`SM55J{FFm*y=;x2cP#=S4SJAt7<
z9Bns<f=fof7Kk8OkW^H@opr{ND;_B%Z0=wroa(2~3Dw}O_?%%DUMY*2R|Bi_=IIsU
zNm%TK>M-?4|B^Sd@8+-G2B5x+ZYJ3!Q5?`2Hm$5~OhYl)h(u7bZ=UUempc=EB}T7E
zn2;(t`8i|t-!<HLoY|EfDVN~MkIn#dU+AxPgVQqA?YS<enPIt_60Bgk`^I96XkEif
z{N~Ip{A*44KiQN5Sb=lXl_GUB(f>4h3&8FQ02G6}ve{yCA^pUZc{y**MXB@Bd3W!2
z*ksA$J*Ub-q&>_CksA^fMXo7akbJHo8%-vxo*f}hndO`PC&x_%S6CKk^k}r=ocVv>
z@agzPOc1CC4y4O=I(Zb~n~~@Bm{BU)mCpU_<MV!CRalVOe+#B4q%mX-Hn>@QZ3;`5
zkKtx3VWi;DUjLECbt-7fYwyI;>zT#pomdU4`u@hTSJ?W~nDn5abs794_61Zs{{<$W
zvX%rlV60Otw38%6z5ZmW<iv7+6TQb5q`!6p9aetvCBtk;b80b9@8wtWb17NF=BfEv
z(Pc^wqvOd|U5tzeTThIj#~a944-vC%I1_Vm`<VZYl({Wd8-&rr`v7*lyBm^DpHGVo
zp8X^1Bq!DN34g?&+&+`jl3)+(8;-Y-|8ydcem&Ohqp-TWlXqF1ozHV`_v#mqz<P}8
z7UG=AD;DsS`qQh*)8$WBXQj%R0Kt5>IPof3D5tGs5{lefDvG^VRew?S-cO<i{$D`j
zS`Huz-J}}o*5s63@9CC-JsS<IMa7Bh{fF+5H)rU=NTY<CUphyY$N*+z)y|FKy`y4S
zL!Pi-xIc7$5{moWn`tTIo)qumtG$4~eoLadhqKtp{Kf*Mw>UGt)s}`NTjyM~*|4)7
zZx^gwhTwiC$>Kzm1Rd&DiyEb%4K8s{ji*2Q9mx$$kVDIi$0viqwO0X9E9_2m6Y-eE
zSa`9;+dQIg@iLlzRe0ZxA0q<}7YDu{AA8CMd2wgN_!uoanOVN?F&XKLN=eXbJR}`L
z_r=}pNg6g+b!5(|u1cv-PmkV~2t=U?y-VGkBM^QqSh+i^mz%dJIe$$~BEmsZ^^IhF
zqyD+UsOczh)26<H1p=3O@wNbeoY58@+)<49?$kine1QU^<M#Eg@!+Uqben5pY^l7d
z@Q8_#<#yshOvS0Gh(RqD+5ivqn|QQNgm*b1sV@Q3iVm{U@rA+sZ;mJbX$I9L<@0ZU
zFShpgY$7d##mgU?(iDjyk{h`$K9s)lvxSH{oOhJA(Yj9ia}+YI0si>uiwC&k-PkI|
zzY_xKsUT`bG<}S!L6LClou*LdIPk0DD1Oc=#l0)__plp<&ijMs@%5p^XTjK%Pp67c
z>xh628XmR!gY=b|mNJ3E#{}QPIXBG|eBZ*M9%-W_;RN@ehB6!Zv>s$UwB<=3`;{%_
zs+m!Z2$Ry#GVNE?YwmUg%<zkPXwEsqxMTGxpw&9PHgEbVbS#$G6=tO=;%i#JH6Qvd
zv_6n*N${e%BVTlEb4Oqix{q)uJam@O(alGxGHf-QS`<?V7^T)Oq3foJMor`iH+a5~
zj7rP=%{cbrF*w|iUeAA-S{KrO*rrOd=lqgg#VD<`h5zo>54BOq|NKprF82L$jc;)^
z|2)q!mnx*a%p@Kqewl=pduYfKCF&Sg%yPDi$m_Yod9cAeil?{IhwI|GYD)`a@YV*U
zAJU2+&NYsNF!>$yPaEIe?Q4r3593IPJ#<hsdoCB;c=;y5zy9)LoOO}>_t&PqZTk!U
zF>>wEtu1|o`|7x%g^I5%#DEW}eH*NyS;T)=SMzUpUq|n`Yx3z8$`BdOTZy$%Seh|f
zZ24%W-333;&7pQ*&U;HK09I)GxX~-%i*q$NJ@|za|D1dcj!>OBokh<;W*Il6zs(h&
zylu(f;B?c9fVy!~=BBO2ZnZ((F<q37_c;}?)a^(J5CFqtYU*5*EK5kJzaT_XU8NG0
zeWRj%k^u~pyStc%>(^!x<F(5yQntmPo7Z2<n`K-FKXh+V4t}Es<^*Kv6jeG+zqb-L
z)&!uuuDk+-Apc-qg6Ynu$Dd7y7R`KiBdw1out%$Z26*F>2Z>>TkxINos$+F={uU&E
z8W(`M_C0>nX!4i{7CLAfN6n>W@9ut}NfMBH6^68Xh89b27sbP?u{LAGtgR8jog~eF
zvj3UoIURj(@v~|P4qB%=`bh>g%a?@)OL6t|-}o(FG<*D6eZF^L1eMm=IB0jEVJ-fH
zsO^=vTH7d>({UlQ?K0Z0rnEbQkF1gh2T^DSo|}qV?s6*ERtvq)82n4VBsE@&MZiN2
zWsHD_I9U*_&Lt>D+#i}AKm{16t)TFk8t5|ICBW^nf#S>Bgwinkj;m~8y|JyQPCXk*
zwmw2>nA!n7_N;48K0<J(k7x<1THa2Q&C8Gke@da8XkH{C$F=0LR2obHMuf!nRfj_>
zS5J+OF+5-?2_{6Z%?&^1RN<&yyq15gZA1T{R3@mzUb2OF?@M-ZU@1R@tl6Z9@5TI0
zxw@k-=^j>Us&M~Dfl^>~1w$SoE1yiT&3{&yiiuhmE@kc6Y-}Z(4y|}&&dVwU?bES-
zdw$L??!RZCnKteey^s-=b$KS=Hr{gbr_bH&*DrWi;I15vuT7rk!$J_-=v#GxK+wX`
zBJnu78k*SO2B!b#Rk_-#k$^y)AO2!ch&8TmWIVfD4*ixk$AZNQ3->~POOG^2`Vh`h
za?5}DO{79mghJL^5YJVplsXKsOF}fH7Ngp2Kf#6?M8Wk(-3lcoZbjn^sQED~=)TA^
zte~FXko7|pPQa3q%GFh~3A<-9N=jGPrMJ~X%0c2E*UjMpb@N>lK(!p2r`#i2+~Q#F
zN)-s<rVrCm9+pbd%Th>2*{*3(Lt_8=A<+esCh$3qo^6Dlbf0x>P@Fb!hcJ`t7?CmU
z#&S3E6<gp`URd~2D=@u8?I!V5qh0gKWslvoDV&X~O;Luz=#ZoM3d^#4<*CAPki1cv
z(?q^3-r{n3yW@uWG4TZs9iOA4a4z22yupS5ZekWz`^;)-A$j+5sX+hp8wR?W%mFPl
zzwyspfL?TO8~#{O8+uloCMVMayI=3&zTJOQDX+XbU*IGJel{m6a#6*SJ6CZre_@)F
z{uf$+_Mj9>=9ONH{ol)HdEdEQn`8N1p1f&E%7djohjt~7qGp@er>mRWQDJn%6>F78
zuBPs^4vl&=4i!i2eE{G9|EKthlrx|uQ`_Nb;4<V-zkZyj>!5*U>je__H5e)iXTP)%
zp&FbVPxwiG^_RreQ#s&sth_q#Up+W_0)*xtYYJ=u-XghHcs4cq&5c$Z@8$P@R)bEz
z=z8`7jNTY~>ASrJHg-N!B`&KrzE_WR@|?ewnXp^MP&K!(XZd4feS#+BF}EfUIu@OF
zb2)yCLVwMko&|fmPgyQd3DH6_+C+C2B!c~UCpb1ydh3WmUH1u3LR1NwnH*?|b2lPP
ziHvEWN{WnOH%W@EJd2HCvdno_tpUlTJySLZOUCBS&Z3swPHe1gjyP}Z*aZ%rKvX|J
z^?P|cJQ8<J?u^L7jH`3$PJRn(LNg0aXT9j$!eY)?ep+n8(m3<s9?*(2!T#Hql2d`)
zGL|E53Q@f;$E`7eQE9iF=~nMtro>T;E3_X&wUpQMp7aw?@x|23>Fp`$(Pk>AZhr(J
zUEe%93$<<?jnp>&eGZ~&7sEOCj`>0l8k7nQu<dX8Y_hFpi=l`P2zD#ABV98~WN`P*
zh^qW-mH_LmT2baPQMMdE{aoI1&)EetB_(>5YKvpX%Gw!I)ZhMo`Lhns#MX@n>-{5h
zoNnA!**K3NJIqH$fi)mVb<iC%y0tQm+Ep2_P6-=IwwToX*QKS|=$s;<qCZ3L`aZzn
z(Tqym|Hi*V$bXyT7{#L}L7DLbS#XNiPjZ_7$Z+LjJls0Z2pf?DBd>F)Zy5vvg8^v|
z(%%$>zaD5pBu+yg^ju+~94{JV)L4-lb0JzAU$jl_mLbhGzS!5HAG%ig;*^P5*?fZ;
zAS*j%&nT9^Ol%}ix_(jjtAeMq!lHdze5~H$nHT%n(Z<W4*{|L+{GBd#z|Go?4yz@f
zp8{1F)^Y3k*J#J6i+waVFb`>au%(aslR~A-1~tsSS#2QlIt4n^a?iE36m<O8S~a!l
z^yt%$g=2`>C91u{;lm~ugGbPl6ymD1$tk&kLAFkxFV>a&m-RX+*bqR8<hHUiiA|X(
z*d1|%Bz#u7X=i3<4=*ic=g1doAJX4>s*86MfmWJQ@lB3FthQHrOecT$nS-Y0eV8LX
z%j#FXJTT|<hca_|ogs5|gP|FR&36s7QDR8(MyFS}bUkVDXZ%!D`pR=Q;#y$2NHe?=
zc|{<7+a2qOw<b^WE8c<5!$QG~+?GmxPgaRSRr-R?ZCvdh1^0WD4eNPT&!Hzez;JMF
zt@1<OWJ3UpxtzB$|IdEkd^|9VP*v(o&A-!{62bpB?K9C1f&MT3Le#T(yKJiQeEL3(
z^RcMP5_dJn#F3~8HCz#PT=k|8C9E&cbM`1dIy#(wY!n6_i-@KEpzdvxP@H7Y1e5=1
z(DgYxGJ5Bindee1pTU&8Vk**~O;!A3arA$S)gAf!G>g7hN|@0rC@7dhp>$%#=pC@d
zHo|`GZUA2*GQjox-@qZEr)Wvi;kh})D_h%PP8>#HXDC4Zm(@BA#6NaRm#M9elm2J>
zaS1TcTt13U!cLyUQ_*x$_rrfFOZ)e|Aumc@rDgYhhr*9D3~ehplFLFOR2l0MTl}Hu
zk2F@Y%;==!s&ct6Gc}l*qJtnt`4MdLGLCVYb$Xv{u?q3{wIt{!SSvoiqUp7Z5@2}&
zzt8@#K?YiAX`C&sl}N{gTQDFM{_eC4qdV~@8D&?>0inrXD&lV%diBwwlpfo!Qpq(b
zqtd@r=3;n?N@%~2aK+*|hnw!zLy81*q-=QISrGSpHqugYd(Y6cZs7kFNrcIMlwd(w
z!Wk4Rr&MSh6x;mp!yD*HgetMSy&CV7Q{PJG3(wz?sa>cSDHaaCDJ0f0m>B>*6_|mv
z%l4zQ_!44`LTDdR96uOqsuBrZ_eQ4X73|vZl>u(>Z6es|c9kz$I;(RWf!W2QR>nlo
z8um<kFg@IEK@!mj^Ch@{0ujOq$d2Ig#|Kdxsgy`hz%}=uVoLz}&=@ZZG9wj<eXfLI
z#%VeiOl|xqnrzyO4>+Lim?N81Xf`eN8s{=v7r%(KFvu-?1U2vbM<5F3$~Iu|MvsZ3
zdJghKP_w?^;rqdHXN79uJ0{M&X*k0G?S>8MXjN8`>YUSyWYlyXQn`ou#w>4symd=|
z?u(dp-?B2<fL^w-JS9;;!(;Pdo@Z@Qw#2?2r06#Zj<K`ay!#VOaVSQ9y(plkkgVWD
z<7tFrVr_yl@{4>v>Mc`t`5bx=p2YW&Y$q}q<Y`DRf$5wF?8GQhjaY@3mdYW2oy8a5
zhd}+;E9<OQYSag$Zwp8Ht!`uW5LnhZJ@3_>gEa78?v{rs)0!JQmIg8?ApP55v3S3=
zRFOg|)-uLn4*Xrc4T~jNFFBeU*^991r(dia(pJmSBD>5O05g|a@bB2{B;v(PXV?!Q
zK5Smye+P|l^vUOYd>{(Zz~sNK2KJ?;dSY70V1a80TjXTwpKDIIX>By6AoEyo4{)jr
zWwf=l!i3$o+IxGEyu7@UC4$9&4h}jC=QlQzjf$OO{5d!<b99UYW3=f61!pr=<>ZhU
zRMJrt6%~QQ2Z6KY3{UG^<Ah4c1wxzf^0*(=`VZW3WS;Qip1)b43Hj_}^8}l>5D`1&
zCB08FE;f3C#xWOuQ8;$xu^ERtDy5bL>3Wxvw8S&>xMLb{uIrY0MkHR1SGoe%i_EXX
z8nKd<fI_9eClyOi6&FWLp=!|`nyULOfQw3%Eg(wvZQuEGL6_$RBwhC{s{z_!Wkq&d
zo^U6o#uCt(49`+o9Pz>$+Fof{v2OEx<eHI<lV^BqG(_TL<jX4{h9P33CFrsFNV4IH
z?{qj|>r|7ihDzrUidB=vt-$@Ip-_~Fs?=v+2o<56F7L4S_tE9~<2RS-ohTuT7yTer
zrf3fwbK8SHVz?*N+iJ7^$!~}}3%7<+LfyAVXc!ofz*Od*ESbn-04rH`8v^6L<Jk>r
zO#uQy$mf{aX|X;8j0V?zY}POB1%{X`H6|Q#@_$8Z7zqdXsGjsSx~#(gsH!@Tr+n_m
zcPs2B^fZBA;!mV3ZLfR$U(pAl^qGw&>^cDbz5UP5{(;E7P(wolRyYp0{Ot{3Ly}rr
z1T!VCLnR)r5Col2c-avo!5G%o#|Qraz+WH{c6-*@1rQ7I612eF)c5`=0_4w93prp5
z^_90h!~kSLER_W1QS&KQ>(v@M6G6nUUjMTlIC**bdl{wQzG|U{9P+ldMIE7Ct7F|6
zO7g42ZnD_e&zyI_SW<SG-C+el`f3Ms6E?Q+@IS)&IX&WN>uYPK*4B|h_cyx>a`BXy
zm3p!3ees{5pxO^maM9yA`-jwjFE1mTnnb}Y^Rqro;3NqR4Q*BR@Zf_%KMog#L)QWL
zsAFIN71|ryF`gsuY<u)GiPg;B{(CT(r49$tnz~PgJi|eyw4!A{8AGAuNzgye?DX;g
z{abTj(dnR3YJh+F5Us6*U8G0nqqZvjTL%0xljPZ89OrpXO(Y(R{#Y#?Rn#C8XW^qd
zhfTX0it(CToQ-$TEamlklh!%ploSG0<rq_A;&tioonz#_V!f3^_pzv$cv)gR&GM!E
zgc?wcO>T+QK&)D|jF)V9VlPR${Pp8>jx$A<<f4i@WWG<MP!6q6g9Rrd*t>rJ_dzF$
z-dwEF4Xb-b2gksm=ANIL%DWXwIUGq@>YcC_F!8*_Nz-C^F<WLtKFzbau_4Lusbgeh
zB=dJihm-^ZBV%8CN^xN8g)qd$&8>63#{LA5g;u~k`jE6V@(66I_hDgSatB6@9?W2u
zJc|bdtQSN~unKZ2p-^}LlH@*rfcs~7Rijw`8us_2LTqC&I6kjVt=B#+2B5Dbf`HlJ
z-2D97u+pKky=in+v6ClY<#5}KQQraf2MM1Ij`;P)C%Hagfa&V(?OlPL42C84*T(?s
z6dMx-v=V^b!+ey=wW790w!0n&gr}la@P88<`@jK{MqPl9zkk>GIIgd+FA`Lng%C`;
zUfFqBFyigu5hk4_>FQc3<?rNF78IM4le1FRHs3}r$^pS3;ey!O+Sd6uR(Oj=ay-ZC
z`g!q4oq+WF!Ur}8vCbJ=nnQQ3hz9q+uXcCVraV^2pM1MV@ZZ}jj(Qv|J^kI}?fk>U
z!s1!XyLYa@PzC%d2#|||1!QoHh(fvP5)>1ou(GlOQ^7fbeF96;yTBNPKw3Jw^S=AG
z$6JYw&COkz7~t=#sH~JSH8st-NEZ(zQ&CZ=^DKj?71v|zkI+<9`#t%r6E9h+ovGxC
znKX^;((*@D>-(N`D91;h4xdI@O!eOIsO!||usm}Mxx~V(t-PP(TG8S67Fy)$?~x!I
zvQ1jFCGRq66=n;gfAEt@pO;v&tIH%J&?t_gd<o(3?9^8YzbeY6QEbN%z=x(N{vuJw
z3umj8PU2T5ZIx>RMVp`ZxXC*Q?~Go3IXl=>>CCc-rs~~e9J2H)oK1HvEfmqrB?_<U
z#@03t1N~Emm$cc<gua#P_k~T!Or@x=#Um=h*>q_gazN)xo^|0VXd=LI2XZ<MdNi)u
zrdHu4d`(bqEPcFu^{-!<WRgF3?NR>hqc&xXFey<x<<jz74>u!Ct%6DH#kr)~MDJ`S
zXN)hW?n))!*%rdX!*e+;3bE-`Ku%6hg#6B!h&T*kZo!UUuXRfwfa&G<@=`t^Kn$43
zXNXR>NBaQxq$2n+C|$%8?R0Bc2HZL%tf`(D5Wn8Fw@ZqhjmZePZ(#t3S-9Ym4+3lt
z17s#R2rvXO3pmb)Raf&pV`PM$to6**Ia6i$Zlx@U$Ip?+uPn2MR`5cRIEc#S8)(r5
zcvOAnI3#lwF(Mki$<<FH`OJx<R@NKvmQqGe23_5(8>toX`<QjY)-p(VT7!ehA*K(k
z_{t8b$Tq8M{cZOb<gjm|o+AhR!O)wtUA-2+ng?GH<<N;aGJpKgSiTrw{I+xZbJGpD
z_0|VD+omKq6JAz$?(4v~Mqu=O7%-Aj23?uK>?k+lXyNdj&ByR%CT&<?^92vI>1f7t
z5<tg!`b{zAFWLw}*~H_)?*ZcXUkh@+_ejq5zcsa|gfIPVZc}affpsLS#Ex8H@bN7f
zp|==g<RqmU^VD2g04i*v!{KhMrtWSv6UZTaU%eWVbTt#s?nPWj&?N5)d8v3X?xv=%
zk7i(CaOWz5V{VV$ae9H*6?<gF9?`yF#UnC+B+26X=H;^pKz!17$JYktl+wkpk3Zue
zT7?Ye#Fk{M6omR_?-O`v-%H1_>!9zKBo&4^ZrZu8>gBn-cZ2;9enrSrq7k#olb);7
zr#agOrxFDYhe?(woG`;V1|2*{w^f}=Sq>X`+*jdx9WxABH@JPDn8KVT8skJVTnr49
z;^=Rp3oAEHqUK^1=E?(7>99Ec@oa?=>$fLO;Kpbq+`hh^jR|;Oc$&9Gc!AGaR4FSI
ztw$XFR!`I1sF0tKIow{MMtz@61FzDSkpJ^e0mBWhqrMv(u5?!Kj}fUF^(=NUYB>z4
zs2ZJC+6s~#_eVaW7LfkCGoBFY=WTt^aO^%QtUQ<2$7TcGJEFLrVnh?@tSU0*0bSR;
zV*qA%i9Nl;<P1TaPSNI^{{tOh-c|2mTCq3EcnX46fe^Gy6KxOYV{aBLB9qc<MU1wQ
zt`%!u`1fDo%^bPmzlz3%xzDPqXR$~p++ma@I`*B%blseAOr&)-M5izt5$47Hz(H-(
z-srANG^A^O0<<S-T8B@?yMukPV+OBK<3hv6YNAjb6O$*j)f=fbpfbC~Q9+4^5g#qp
zq}=3MusvzU^|L_PyeOKJ+>R~p6}6{SXV%0O&$En%h}JAh6wb<ynjz^8SrpHJl14ta
z129G2fOU-r`J~o%<D6gmi(DYHx`{y8a4yG7>F84?!1~~dBT-EHHXegw9VsICBW}V+
zy=~oAIe&~qzzC<PhIVTjkC<=QR838V+S93Ip6Rd86nWW5Yg?;m)UVOl&Jx{xG>T%c
z2BfL$k5q|u$z8IyvOu=S<*V1Lr6L}@kSXI1CE$57ANLj*K!m*hhNn%V)EmTy>3o+8
zXCe00MrA6!dP@J-N0WSHb&;E@Y$<%XEtrB+T$E_E^{(k(`Rxg;Yhir?hjJ5{vHY;V
z^`kSGEy4!g1o8i|bdKS1eP0`%*tXT!w$-Mw8?&)(+ilda6Wg}aplQ<Bwj29B`TgGy
z!8MsH=gdAEYp?yR`%zcku)RdhVqSv)T{J28E`LQ_sR-|#Sb;OhrWG^e#2~ChoE?>4
zsfd?$U(8jeW8ro(LoGf{%+?K#Npry<K8UW;uSkTVOa*e08QBg%nyR|_aWg7m&t&jg
zLji500UoIKhCo!HSB(jfwyssQ`TOZFl;7zPxO^90JHxAg@GGjG?Veb^#!m?^7?_lZ
zM2)6ia%rfDY1}W3U-7zLU0Do#c?c8EmQ4ODm=gc$E#l0HI0*zdKpuw>s}SYj;QcIo
zT*~?*d@W3QYAL1!`|Y9}uek2`Z$40)cNps41pZ&Y50C<I`R!gxo{KlZ#iypqme_R3
zhT=MlPFbz3BpQVJYZ!3#m^8ZDSISAPrI9V}rd}mxQYJJoQ(EE!2ZKPd*q<zyXl}#A
zn#}OOX5aYZ@rN;UEzCsaSfvlTVu4!jy`nrf@nn#;Wv+D9nc}KVtCk~GJv<cPp!6>g
zIRynV^}Ed^VQVRVHI#Klq(+(ykhBEORaS>egeked%!G{!q_P*Q0k-mady|;+WB?XJ
z4pJ)m>P$#BIhBvp%f4VD?r#GI9=RI|#{SdYQMPu=5yiNt7vk%yZE=;ZMx&#xt|64^
zKNl;YB5m|S;L<Kp?*ZjG`-X8%;Ee&7W}+Xi)M3+dQyeJh+gKPulO!P>>N5y1QmO7{
zAKUi3U!Dk5|IiVV(9aHIqjeezMBGHC5r8@v5Hi)=w7)2;GqRtKuov+Z_V)o^-4KU3
zRv)V;Q+{8bse@R{{SWMT5vx)=H@_|tooQ0wPri8lnx&>oEZ&e?BrQlK4h)xj1M02W
zE@fH4H9wKRhd^Bn&Ec!PXzw@*5IZenv0vxBULf3vE&Z?oj@SBouavnZ>`2Q<EINPI
z;-0<Ye@83RV?NQ!!z4|hCQHUQxvo7<z(9SOEU$;N{apd<YktmJs}#^l%N^pJj0gv9
zOOIR}XVLQI#HqJX>lI>z(|-np$>t2kUGyM24Rrp-<UUhP^w!c6Uk$lJ$8&>EdqtGD
z_oXZ9h?IJg4WA-?HO%}!m^w2i@mG{&eVXa8^-3O)n)txbAa|Spj}D`?R0`!EqO{U!
z4E0#i*3--7z1fqBU;C&ITe5I7o~Z%b-VN1!w41`0`5)YH_@?#@lmS>b-iiFhCC{qk
z{1uUGMBBt>qQIqq9y7$_Vb8#@Ctpy^#!!uuauz(wFCErX;;(K%69##U%5%TFfS4tm
z8m?s#fN*nT%ky-W%3Wfm2F$50m!>%p(JnrgKYM$FrHGk6LW6z{sK&bE2bS0yUo^V+
zZ`gw)k4RzTG($|JDOgf+hcEj=TJ(}kOvd;<INN!sH)_*{jBkIkLA_@*8i>PM3xCOv
zNuNUqQ>1+Q!s+9bfdF8)&FQ!pZ2!a$-kxZK#4JjwhXhau$e+-!8{GQ>t0XauMUky5
z3B&&B6{O`3jbyU_s_e4X>F4(#5hW1{vlvF{3sLdA0Q`CW%aFkPKiT4?`oFS~dixW1
z`J4d<9Mj;9yzBNX4h`zpk);T{3E$|nKNJ1YJ7EhcFJyJ)98=PBC{XPRJre6mH9`lh
zLfcmeLwrJ^Rdu9AJee+d7dLC$C7NXy0|)T`g(Uc>cEWL^|Eyy(xhH3eT=@XW9o8=?
z>ypfN=-7|i-$J+xA#4!Roh9nA(~e<43r;W4fmk3Ao(rw~-9d!-s^7-f-EeTW5PQLs
zaET^kl4fd5h*#;o;P!`;%256qCOQ?Q16Rb^P*_R1<m4nwQw?hgIO&3q%4$|vkvx0f
zm@Arhh}0Cr<om@eMN2RR2HMk_5}3K6^oOK9g&1a`G~5U2t1tz5bB7uZU)ajO!=avi
z7ME#IR{L0m^W!zBGS2G-|4*8I{$F?H=9l`E7h`5~D$1pFKr53P4ZddGsXVCw>YjO&
z3*GV6=#`zAI8q>Wmk<OxA-5}^h6*r@azbjcV=B%#-+Jaa)7cmy{bX)rw$^rFBicXD
z1$wj26mf#Bm70L#{-X^&mOsOA`|byCsHa=eKCAsx>uX3s?kw<UTj3VZGWl})ao5rE
z#EkL-uN~VZbLbBWd|9x*FVe^~3a243N(p_vetONrn+>q*0W~DsUr~GV&nJfJeGGXU
z`AGnFyc05?3n$ViYPWWkkoG5&Ivf1Q<#wuHLwKEbFKp{JG^6S`A6dJD7y3L0aE2uN
z9pd-VORx!v`8^@}Wnjtq#z_e1*!}}*C;`IpzZ2%Y&DFdWr%dm}rgu9mJ;}jVYS}B+
z&DjAI&*vGNbb>o3k*<4T#Z~!mT%FLRo1tlutIMmv#`}&x5uOwK2-l5B+>IkyJVO~8
zf<I>=|FA>>b)>-VY;#yc5U>Sedka8IUrI)WS_jU_lRhF5m=fUKI<rcgCbepplyek8
zBfC7{HL`gcFyk#b3rxd+5)*%fu-1IB$Q>e{?(jCvix3SyC1L+*!$*1YwCN>^Vy~XM
z<!J!>+U840i&Qt6Z&SLFj+r+AQ&^t&SQ^D67b1RW1w<^7bkq`n1k#oFw}E0<YupsB
z<_o%M6pnKRe-d8B(B8Ly)>(=z(IT5U@S4k1!tIkk4GXc@t1%wAj|`mhuN^DFpG{{;
zG5Eb3fN}^XUCCWSlbIUyrpU-`t0=E8V^fKD_i8+9yB>6LC@?mQI1=im)UH<J)kNl;
z<r8swj3%}r9r8dG<GcMaMtxq5_vIhA2sQMP<)v-H#KPo;xH|`!ckOO`sd{P6>tCz!
z#Va_8*Jo_M*GJ@Y>XYHaKB5E4`hm`z-g}p8J-ze?#8={HNP~-9NHUwP<?k-@^+zFg
zpg>+yVsoI{G%LP8-VN^k_)@YMjjfTM1QMvOwBm`znbr0=<Ll}yVf=SuYZdZk%@}`k
zD<+3WpS|A?{c8(auta5F<ESq&>&L;O<KaYozv+Qg7oCiiEKD<tbty|FiwbXNME@l}
zNQ>#PFIhlwI`H7z-%N(K5Iip$eH;&RJ=HQ@<^jctVvJLM9X1&)S>NzT1n@}cJ1U6T
ze!GES7oPgY%HVtj1&!nP9o21;KeGNAO6s_}XQYA{L}dBdvFz#E>&VCN1_44wyBdlV
z5eBQ4C;iY0?w_yP`lDvy#GflTN37_Qr&^Ne`T++p3N|`7i|BiIsdv@tw|M{-GUjfo
zkqPuKNH%jSZchwceg1>ij77E7495OBs(A+FHVU14RmH{1@O}<B8iHsi+&6uv+3cKb
z_#t|$8!L;jn6>zTMUgoo{{-HivFxL?ZA&_IiXA_HLJw)HqXCKvTw<N{fc8~_b^g(1
zql}+`vq9b&vHo&=C2n@8W&R{)8(d={bSf@~@9i4X{f(=bxC(!cuOE=~F+Ms#M?N}6
z;oWCR{Bc;t+^QN@z9`M-OhXcoqbTF<^kb7aR4gcwfba`vl3R9^x33wA*qn~P?F)dp
zqs;Tqi7cV`rPrL$NCpm=Vki{|jOBjRK88^R);WLZ3P8JQGnJ&nUDiaR5feX3Hl)p%
z(8^+9j^i7wU+X<Q#@9fNaV~sAHRJWr=MOmc?Pxpe#~MPV$ixdDmU}UaDh^Xn&=Mi=
zyBX&ilNzLxVn@Elv*2&+ga=KWX|sD`N8@PlskxFYbNn&Z-QzFuj1G4fw@hSQGh~Ot
z-BTszbA}jOUq?=9ow(F_S~jkDIb{R&P%S{*AtMY0ilJS*9)=s7311u(z^l_Ix1{R_
zzKo<@{<$>6*1B4;Af7n=mYN*amxT#PfHRkp+ev{rZ3!8!TE90aYYYS`)s96l@K4{u
zitLJy$KN{$*;MSh|M{lAqm@PlX2W{Z7mRt~Pm{Ohj@TNZmD%Wef)%Tr+gR0DuGu%*
z{v^!$b!Yo!{r2$f?07#qipnRyJAqMRB^!P3Fm@0tUs;n`cJxN*M8E|hQz=K5yV0g^
z(-GSC`4vR!V@gOPECih?@;ncihBg96^Hek8&+)k~wjXwAZSy7k%?XVcs<fGr&r{0Z
zwVwZ|mP1WTC&@M9i}WZOT2(3JGnEw@=yw}L*D#HFK9^#v`M{a@2C@bdd;hF&eK%R*
z0>J;tshjtWOwTFbLcjCc<Hu?&s(=x<a2=fuc%D8uZ(^%2e3HL5MSD<jsR_G_Mfj40
z?!jFya5y&#Sd>?<{fNsUT}{%}j)rk~3F^qBk!Tu_Rrbq_00gB6;2`*0mvBEkMu7SP
zoKYtyYf|tt6S2#x)$+1vkOh@B<=Z#n@zjRjrAvmy8mj|o#n6L;_m5#}n=k1VyD7{e
zB^&zhSM5MNhYNmUC7A}W)F$=dFHw$dD8IzQD<zqhUJ%%{BpzvDMdQT`E~G!RL_2@J
zOq`#V5@kr951$J>qAgrH3VW`q*rX6ejmT3i>^m?1vvoIZ0Rhr4z-_5ka)>>f#p?8S
z?eC-rN+%_RPSJ^r{f0?A@~h|EVq&91V16LggZL4qefvf0Jg8MZdNo3==H!?}0nKFN
zB5I7!cZ*|yf!R!zT}B4RXa+q1`kv3k(a=FE>~7$n1?|s`uly55YduBZ_nod+X21T(
z>~AFkuta=b7m%>=h@tJ>NF1uwnM(!jnE!Kn7)4h*S4J4(xu-ZWn<luEg*I(T!}E4O
zMZC%|WN>aoJfxOhNb@2%X3Y}U^r8o7f>-Ct%)Vc_zQ&$IrRaosXgc(-EyO76vK6)3
zm_*1q<jO7lSs5b6ihwiL4rTTBx(zg^B><i}P(I@vJ?gk60n0<mA5pIrN>2zxPNsl|
zNSVUv1Xn*Q4v4SKZ4k}Juy;h?;^J}Vj_}>{;WxxOcxwg6EG^Y|b}C=n?V1kMGrvY!
z9~^?QdkR4&=mYI~8dNL^n<rP;7nb=D*_s-@&YC5y;+7J{?69t_tGh9lu-DW7n{?5O
z+H<RMU3nqet)HPBXQ74@gUFo*64bV!ZPHhOj*NDS;6UpmPclO^4GSj;m@qMRLp#xH
zUH$>rw|whY<8l<h<^Li5Yl2Q{eX2K6ZctgpBiK1M_#D_poTAQ-xS*nc!8(NHl4^sf
ztf@?105eeirAS6^*Q8b#HHj#TeSg8dL@s5ZiV!$AWXK~%Ns$9`>H`xgnj>wJ(hVb}
zt5lmE&2om5!~Fzzw`hGJ2VTBKx4B|Vx@t}G8yV6j!<NuD#au~^PQ!)K2|#>p4UClq
zj~x6bz~G_wtR`_qf)$5gE9wqcDQH|ixUzQtaxS4gLxhyw&gC3&R*83G$1;W<>xrCl
z1*xh^pW^#rl>*>ZTK*%9&z*xL(<4j9AFQ}f-3*p1hCj_$`=BhSE=ANxBz<Bwb%=xS
zksql~oD^J12AqaE+X5TLTA&zTp}MC7%T%5aVu*xjZaYa($)n{vx4Vp}P`5LUzZZb*
zeGG8ha<zWZR+DcSC9F9Mo?QpG-FlS+%oo7JrbW{HqmM@k@}35i<Vz<TzYxf;Q*Uy0
z2yu%LeD!<O`orq4-liR-h4dsujSxM-74Tnv^=csj#A%sOu~OCTxIfLt>#bw9!#3s-
za-vN|6FCV9P&Bb<;@w>aj?Q%<Qh6>F<>e_YzT9MRnA0^6MjUcu$EsY8?_N%QtDDLY
zJpmSL;u>DuUt8y+rUCw&&_yCyv7|HI4I*lx0mRSGQ*73OtTb>>R0D$;l7Myn_&n0N
zO@5M=O3?TD>h132s|AnU=%`8_VRxSFi`h}QjlBh!AN;(v8<p!SdYUNkFLykj02e3C
z>L>_M3G)Yd6z9Q#S_=5n)94<9i35_2V2iJ4(q4tcrCQFltgn<!WCCbm!NryvD<s4Z
ztfcv*krIF(QdUf-rM1f$129wo+9!kL8Iar$rxToi>He+`7<xmo(=6b1k`PaR(WG_l
zQqc_GCit@8$bvvyZ$C4>%<f*2_jot3%qk!LLp@jl?%T!MozL|jj5PAND36k({3i6*
zzBv5Nm`fFIdO};Eaj?@gHuZFP+(|z5cHJY1aRWn7P~9?3P<>9L@SgFCv4FTebYHdu
z2B7wE;{i#XckV49Y)98c%8rtYtEmijEGcP!mMax}1o*eDQYiJ3gYNr=VHh5-5S40>
zG7|h>Dm=#7*HW~eq#bOmf~-_J*(qn>L|ASQK5&M7{17ZxDX!_y9$%#2zdrokk-k`2
zRFk@bPb%#b`zV<5k$vq!7EImm(>AnwmB((SOpeXKZSZW*h?;BT-5igag0QS@XMf6;
zsZKNW3%~~Ys*`)e2;|o*6lbhh=wRcfQt{JcwR_M~h=`DYem3CxgQMVO<J)wTUhI1W
zyT=kbiQ|A9#dt|4p{91)R5Mhn@OWiU&9}M&eh8|^UZo~)#y~mraP|;PcjD%^sY19p
z)z*-et9`17DLwaBx7u0w{s8cZmw^7oQ9vcA4r>W9%#zLSXUUf5?bAD5%Q${Ko7eu$
zFtoo^tM+yLi&+}}T%Jt=YD#4Yj=#155zDHb6L&j&Lf0K!^vnPxW`jqB+`49d{;?T-
z|H3EZNWwF;Tm!|LhKj{jbsGRU5gqD6u+VnQG+|ird8+4~zR5lJCmB@(I0mY?-?g%R
z{7N?0^@;~T{(wC;HzY990RAG%K>Oh8FexXcx2ZC#Qp@tP1VfTo`D~tCX<uOn<cWep
ze|V@_ax$XLRHJ!>^$tk1<7OQCBeltM<2ka(v%VIojJddPE&7Tbs)pZ8>Q{g~F;D>9
z8}Sa3(w{TH>h{Q;MZ?<69B*4{3&(cRA9kJt2?g+51KI>q{s<Uz;SC88pt}bq;8r+$
zr4NbYlL~fmw>p2rK@dZOt}k7O8pOpTFI*)ZEZ{=h1U4U3ROr$e9baWg-E-SR<D&MJ
zXT!rL7;^{{4tgOH88x&!9z}^obB(RPFA)z8rrh7mYd=5QFoAwXIPl7o5(Nist~t6K
zLjIwDaa>RKccUj%EHJ%_m%`pl{x7|_yZE%vF7N02fpRE}{5Ap5qwiO}_wDx?eep_|
zydKwk97hMtDu*yT)-Z5}LBUh(o?jAsR3WIYuG@+saU%!7YQ<t^X9ub@T##nJcsL#C
zV-ERykpCpb-V2M83`YMu2D5r{G@Hj*E}<&J;-2$y@JtQwhMq7IMc(@^Ze@f+k#%-;
z4pFq54M|bo&hb!2WY7N+Z?wF$vMn6$gDrdC*Sg%5$detK1)P7k9(|#QoA5*jP_$_*
zi67kr(`Gf~^jfoG^5N8KZCohjK9_^fKKQamMV_q7Ak2>Fmw&}A<NPW|>yeP|(Y(M>
z$lI*EYDNk8iO|mJXAv?nncwf9w6}Ouz$sn(8(4nU)d^X~J}&2SK56Yredls{5Y-k}
zli#{_VxvI4uzgJw4fYnGVEBb4>Fu+bEjtAMSpZqgYB;<%fK4p0{zy+a6n57q=#o!?
z6LUGXrlx(fPEiu}$`g@vJ!9+pdWQS5P65pG?mB!Du%5l5zi@(j?LAL^OwqAc4;99=
z@_Dksw0lrrVWVVef&t9#%m6a<^-Z8Y8WHw>O2$%wI~uTahVGIyhX;Q8qMH82jBFcY
z^D-hIy1oqQ)<x5vua@?xN4~WBvEcbkJfYVnKHmEkNxGk;EJaCi;K1L%M6=}LWGRl%
ziyjHI@a{4teU6AhR!zvbnukibgp@xVLC&^-qkmF)?9LLy2*7VqPS#ye;n1>V{Sffh
z!Fi`ZG}3Yku<qfJ?*?Q8ghPb8N&Daue69X#IrlorL6S0=61NgnHDdB6+^+N#!qE}R
z&?B>6v%V3^D~;Ny`9sRl0pjHC!WI{>w+2<7EB~glN?39u;#Qm_pOV?8$taj3Nx74s
z1d_-GNuGctxCEZe6M&0`wf-<T@CDQuv`U79srnX4{*|CvefUe!OM-kFsh!5O;P3ht
z&;M4K_!e}ic4bIOAMK$Sa1=uC(+BrrU$o~FFsrd_<oN5&hz>ouT}0?)Xk{2MjPDEB
zkTdZSy8#z~rurEm%ot@9|2I;;@U;FZi_c4eO_Pzz!1YL|L{D;DIyug<1YV_EbA-m3
zmxdQ-SEv?o_6tdbCWh7bEgQ{<vO}+VGTm^+R1W!CKkWrAqgbFuQagr}x1X@&y*FKQ
z|NpcI)JJi@=q!LCkv-IieHM&VUFl$Nufk>fbzB#vBZYln-cCegRwS|~AKZz{N?#yr
zP4@6V4p91bpF@kR1*r3-2Mek*cQMY4$c5Je;NXqg-V0R6@WRGc5ot*SclL>aV$=QZ
z;>3((;86?#l-cMJaK_aMzEF!LlP0rvjQ%ky{1XvA&?R(xfoHXWngX!U$`0p8Q8kzw
zDFhr6?9+)!g8hwi9G&W>i!Do1%M(*m5}+(tOsBygu;<IAW%<?1bFyMFI(_m~!2@dR
z&k+OVykb&$R)9`bz_`i#-LLd*ea&lFR-?k<ncu?3TjFETq|bq{x)lU;CwVX(q!tE@
z`lv=#SgrvC(N8+c=tvk_R~%(;tuk~8G_c1vG4ECPy}RKey9uK7noL{Bs~Z=QZ;MtI
zw<ljYuEwuKgc^h?y?Ld7d-t;KRO;#2w)it6MBL>Lx2@+p-fY?V08%YXEQUZEiNe`Y
zZNDwa0sXcxmCZMmeUF3Kbmdh93OPJ@26Q}@^`Vt8chQn85Q@%Bb##F647Oc=dH$zt
zWv+59oNco6;8<Hulj;G}v0hGXA3j+AR*C%@F+--;bG4F_<1j3(Z8q!I(dT*S-LxIu
zL+!_19;Pq0hSC+PotTek_AyQRgg<qDi_H+vL4<_61&)~Y&VFuoGSXt2d&3P|zLc<J
zYT?u@4?eJ?oh(vvQ7<Kl&BVi6SuI42(FQYwci@z9vQtcYmA`HMGCBIf)hLl74L>`r
z*C8Rjo3B}-%5+pmpm{T@MreLALU4r!a)z&M3&SkKVpNaS0Xx?&(zX)rT8AhoV#%H1
z;HrvMPR!Tp+g%?n6DwqBNE%UqUF0-T<-Z~YzxaX>?*E;?q~Fc^1E!v087=}88~d!E
z<H$5pIbe2)7zN@uK!uv_B`HjlhF>ZW=@E~(%fq|+1;85f;qa9h+C~7Vt#2@$XrcWQ
zpQkcjMn=Wui#1F?LA{a*cQkgUOZ5DMRwdtW5roUOv9P0^qq)ws6xXbwoQ`03lg45l
zYGGVbPqL?Zvfk_BeF%^(!4Ew@_tA@Fd_1k#APsiYV})7?YIOLljh?P6zM69((37fv
z^V#MBR|`SLd_^#NfDiOR@jkP(x=x2+JG~?Oe!O9S>o()R0Q<F4kw>9fh~Jb)V3lJX
z%atZnnQm_MA6EQ)KK}$>*Bp_T=cIb&ZCQ~>g{p?ur21y18ctV{>zE|LG(*Adlr-v)
zy?)WNWk$<$-|wk^lXl$YZ@x@*n@i4=5R=oW-|-LM<_y+$T3iL3%~bPyi%damR@&s5
z54Ty)mXgwR2*Q_s`oZUS!r)#d7~IX9gWdg+%*a2x8G+SLh&Vy%AVkB3x2;_e2eWop
z3)y7s4@T{7nr>5;!-GoRQOoVE#pmi2r;V4(mh99hdqe-?Gp?Y8f93eP{(7E^qHj8#
zxT|D##?6+Nnj|9rq+v{ie;v0brEMQx&{5y?*(k7d{qOEl$=b~mcw2d1Z2+pbk<`6e
z?XCw}Bu-iT&!i8Qk#~Bs#BP5%Z{QXvOS}25r845>)#fe8{i$}*gEHLe9zXYymoKx8
z9YtudmXjf2spKjaDUEAKqJ=8tvs9y#Ny+&0(a(Q$!_5C%ar77om67<XPKxl7fM&Yn
z(KgGk7NhvNq?U47xfq6oF}?O=$&Iknn@c7FcD8nZbang6Dl&?37WS?M-D-nWbi#K4
zF7+{cB+?1?@?PcU6Jk;lXB<X1{D-LXG=UOd>=`pkdIFFUM9uDU<-)&H&7Pv3{^iIn
zs<xk3-8%X9^+yM{ACX)G8VXnQHsvVe&qU%-#@>2=<V)w^joKzfTS+O<MEaP{oMb<S
zeJ)Zll@2|l=o&8BkM=c+WF@f<rct>Qf5F@g%Yat3Q?{W}|6={kaD)t06R`Zr^>iKb
zhRiyeQ#Wr$A@RHVkynu-16Dw&@^_}_Z}CByb5R3`8tglj%GshMh}q4LH^f^pA@g!U
zbqXJ;v`X%YXFuJ!=GhW%Cg&(tDPugq%ie6+V$o^2jS8>IwG=ZBl%+`V7rN-sCt7td
zDh<ftHsgRA38ky-ovLb-=O7E7njevr*s)_vi;GDEo&^x_zI~tam_j>3Eq#=TCA(uF
zNlNfI@fuDT_c$;2pIP`kP)2rGGGS9Fro+j%Ej7_<(%;H}jeZmnA?q$Z?9Z&6Z>)ju
zy!up$%V@9H7FUwZzEERER%OsJs6lovm&wVfw7Vt;X3FZ%uKD^a-x){rxn-Y(csT&I
z`Yyf5JDa%NnGaTTFt*YOX%I0*jGRumu5O$U-wok(c}^z(CwW$v^s_3q(By~VV&lUT
zH*EnQV1prdN-p$Ig0<n0G~U`RnEfD(6#rTRE!~Bw#hHcl%~muF<@4Rv?QeD7JG~92
zW{0A!qgH4xJ3~C6hie*_s#5-c`|1nn!+1M~$qC!?XSJ2N{yq7wtwPzLqTZ!$!p#s8
zdtN+|W&$2vYp+5C)kUV16H~@<JQZk`e5_Ye)W^9)#3`;CC8!_$SJ#ILJRw8P*x{*i
zC(p-Y^M^zJ6#BUN&dkC##;=sZ6TapCgwDHB9%0cgv(ehMV9j2!Djg^51UV;-5`!@v
z&-)+tmaF;f5;ib6+FWKCj+X-(C$Ch9nf?o5vB^xJz>`7)@!}1AF9xkP1}&TDtS^hL
z5!(LPXu?Z~YF*yAj9m-C(wuVw9bZ3_zk;@BGE;W(wQ)F`XnYwpOQ0de55J-3hMUfB
zP3C#iN%(eR<fd+(u^=#@@5k%);mNY>D!Bv5<M^&Wu98<QC{rbV`dnwqWUL);A2`(N
z9cdmh-KzzI?HKR+v#2x$86X2*2;x4GiH1c)c&I9rKzkJ3|5m5{Bq!H*vDv?Qe2f$j
z5CHJK2nh&0UbiMjMtT8_P%I#E0>pBr7aP5i2_8ag!hn|+;1>xC8v+5yOFta*yPx0#
zbS=dEsmP<*^6mTt5$9Pu1n4`MX-x+hkbD5s-`~O*>aOuGI3WqLtUbTNt2Z#-rqW-p
z_ZRAK(Z^{Rb=(|cqv|6}Zwmj^UJo$Izc>+-5>CQ$G-goJ@fNHpMmPlGrIO_aU2^71
zWz!g+ovDWXoY5?K7a3;qI+y?eqZ)0dcizxYEI|n1&xftMm!f6R+vaxsZj^Wb@L>FW
zf9VOxPirj_Oeg2|b9_+YP>FkLO^4Op3JMFsO1UC{^l2a%2FdZ=;SDeV1oU6S>FlO@
z{<)Ci(jR!vcvx2CWcDAqH|=Jqs3I0<vEbz*^XL}Zc@TZ(my{x{Zgiwx+lksxZ9`z0
zZ7B1UTwD*9`|PLC(}J;{{uqx%zwmWzCujPwfCA@M2{(VU<^&~l(_)A90#lZ(jC(H?
zReO&~-G=oE%88)|et>@`Omj7DYkT`{yy}$l;K0C7r|qG43GY&q9T1?mI8i;`ohR7L
z0~FfXvN8?;C<Tv*`0mZcX7&pm)C1_IF-S?{{hn?CEifwTL$N|;IDlZ<{*^?9dT8i(
zgR|y+%senSC|=!c<Gbd2rSR?&R;-k}*A*dzGP^sivALP=FC4L8`iC<9qXoxJ7Wemy
zqEVA%LmU9>;ahU=s-cc<&S2y$;6%t4$G4lNcu)o+U(TERY>u_2emx?}5XphV_5-N3
zuu6uFypzf(zj8V%)T@NZYtY1XU|wn}3tK!F4q_Hm+ze5g+q5RTS(sj;n~yIoS9*1_
zscd=ax*tkL^p>|Nxo^-^3=0HvNhg!36C9@s`3X<m{jfjaC=ott0`%QvR3APC|F)Lw
zOIhZtJI3bm?Ix*(JN?@5E$BX;!rz>I^ey^ohwR)+thl3;PB)^C?`9~fIhS_r!I&vS
zW+vo!*+!buobjTCyUQQz8;QvPGrWewDSQnZILUIx$#H!?FO+sIvc96+HwjH}jm)^b
zZwbAe6>>#10l-P{2(T=9S8N6ZygiR#gQR3+BvQ?Z0Yy4M%~DN?ijEE*G!Zv5>&2DI
zmx)u(mqBrsa4T*i^F9E-zy11j8L$59ZwY5-4nT|e%bDgo0*zV_2S2j{G!D+nI&pMY
zsBYBZ!KE_Qct(5g>MDj1$gI$O^UjOtVtM5T6etINJ$RE~b@gmOvF51?kH|fZ_s{q4
zv2NOWeBhI^6AinGao<{6<m0`2el<TB=)!+kqMEei=JVPhE)u=s=1{HwXV~q|LW)%U
ziYWhrQ$uh07fkwydLFx%O+?<IPr?;d62VR;5_P>JKOm#u6R!bRV>4o}T^fRW$6v?+
z24t&}j*c~^l7J<=Mp<YJ-(yHpbKcJR`FSEKCZ?+GkFBFp{r0A^_>TGLOy%F{>`>Fi
zO8fS*<Sk_PUoY1^kGm6$#_Lzvc1PC%Q_>9xDtZ<e(e67&fB$o>Ujoc!Gbp`O`9692
z>$vdcc+nY~vlsVcenz7_+j1ug#0#F-M7XD7TfebAJUaW-imkZiUyO-^`xz*Nsj<j9
z8{i|F*8Prec3xfhTHlC4VyWh?C)3cKIY*%vw{BBBbp%T{_VM#w-lS1ZBYa(gxS0XZ
zND<B1bf?Soc*&L$H-Ou%2_Rti7{|iG+E$NP8BC^Ed*@K@y=A4Qh658^d#x-mDc5@q
zf0D;v#)5ik97wJn43*n3u+K>tZhmXVUVmLz1&O`fqD-DIMoiY}n$B41pxo%r4P5ZP
zny=dn_~ZDz#RC26RmS@pU+HL!CgXM-O#akEQmRqx<{#<yi{0eiJM}bRe(B^vY<J;y
zkx>$+jBt}l3$j!0HfMGX$b<4mK84Sm4R86}jNW((&Ewllf){V-w#%GCB*z8L5c1;4
z@w;6V+$&WpMwO71OiE1LNVIR%NlH!*ot#vz)3das8~@4)2=|FKOSiVSW0=+Sgr${W
z_g;L9y^&#|kO%xbk)wnVODRm$58xSnNoK}!yeSKicWtD1IX_Ar5PYgs%9EJEH**ug
z!ibmo9GX0ZWi=R<Q;WH2%LM$H5kpm`NMc6WnCMpxO=weav~3U3(BKa?&JM8JuM0t6
zum$j4%9E(9f~9lgLHl(~q=T)BcBsKVCQK!Qc<kR=Ca0CUHvXCqRSv~#ZSmg{p8LOI
zVH@OYpBc<x3D&|}438G6r%TxQCPD+9VC6)i`=-__a0dp@_`?>2VajQkeYnKeRfH#>
z!H%J_Gt%GVZ!VvolqjjFku36Ax6apJd*=*qd-TRBkp7ZIMSAxV#fKxdON4iTyCUcw
zI4lU8&&uJGl-zsn6C(OIz{9)Kylgk6UXk4y+T)y3t8ifRe{_>88Td8!BO(>LPUxTw
z!$qPOSyyqX^P-Z)8bsLGxPidhB(_YZ7H<|(I3D7`N3vH56TKjMCaN4LXXMDIlz(fV
zc^7R`EhTWUu|t3U{Mo*DyiiL8JP>pooG?H!3<3dsTU2Qk0Ddc;3UFUhTm?v)?3TlO
zL*Sr5CZ?uNyQ4U+CksjK2_%B<1G)~KFfoIW*%Kl`3w7p5ggmy|C+@jo7v%N6BO<ZB
zO^id0HpLmr2++GxRDz0I2Zp!((sfMv(>*)~+!aWDf-|z^qzaR57HaZYyomJ8f6=f0
z@SkWmp|uBy!iVt&Ui--@Yg2c$y9!x{Mf7Hw_GU$i8eOsaoEc1hQnj}*8nGa%-KmcY
z`~dduL>J<y<J1wIf#)XD6kny8WwUh-Fx#)<JA36M%)~th%8Djd8CfHeGt|7h{a?_@
z$Pxgu;m$HmgWWREI?pB`y*`*N$Mb)_lx=WWCk0(>#ju*ZJl<#nghXFIKX!oJ3V`c6
zeXfp$J<f<ZI5=vIdLd61YN5u`meUxBc<qrp4H5v$N-o<4bic>zULuE%AS_zNjn@5~
ze!wVM&MY(0WAyy!knLY`Zd5vnTDkm>f!wh#Qf%8?lro06RK#Nlcdq|-$Q;H+w~`GR
zc5@W7{^hSsLy%`WD(|}~?Z=(NQRYhJh^Q4iwFjuxK4<Y44teGM*)5(a!LpK86pQm~
z#mn)mgQ9U*30zmgvt3rJ^;~ryO%MdYb}Sv+vV-zF#A<(4vN^lRaB5N`$A0;EC%kcy
zTi6PoVFmjt?kHwgFzyYcX;w@BDHZ@PC&F{ts==*67$kl`h|VLwltENHi5uJ_b1%CV
zTA_WTlbaO9>7a!kQ47gpOaU2WU1Go9=y`ms3++5kFd8}tJ4)nGtWZuWMxu{!&-?RR
zXI^Z5GkdB+4NAR=5cDOr2VYW06;_d~Bao#0cDvdT4f9FJwOw^n+rPP+^-9gZkOvIZ
zZuH$>ZUfG#0l-X(Oe%yARCw@rbe=ltvFNvj0%aejfC&Czty2)xUc0|D^1aseP&Hki
z=6!_&g!3K?fE8e;ARvq{v_9V&j49D5$9;d}dsGQHy5~9Xj;6C2LjrE3ahNxT@+HI=
zSY<19cZZ>J<tdlLsq;>Pj7ZttPetUp>B><E8tmp{%b{g-IbEdhLH7Yy4f7FCxyr9R
zaq+$s-N-dBOd`C~p2HW5heuhJcv|(!_6XBaUegV%jWFH$@9cg%X?z|hi2N$f^P!0R
zFot!&7#Qo;0Y7b@qOWzaJVSOO(G2jaIr^Rx*gkrBydv&Gaf8bab`(nN2Q)+A2*whW
z;LIs+_vsxNtRa&>d8(=8sHrbvn|vD-1n2$b;Oi^}k%y#P@^34cQ_(2JrkhP+F^D)Y
zoEg5ZIPFK)?F@jCX`p95#H4?a&)|elXtEB)>v}<X`eOhAG7H1FX<b+zD@_mRsC{l3
zP9QAzxhvlSY!I%?x8l!b6-r9%Sl6O3r&y{ZaL#w4JTUu@uhh8=#UjZbMc1K79-C!;
zU$Ef|ovc^8$Ao)I*$KzHt)KTaa`Jv6L0c5H=qTl*l~YB~-xc<YOK-Bp%y6@}yi3k#
zg#9e~xE*hom_fCc?me>;B{)Z(#M&&9UrgEw*DReDkqI`~X7ltU_$NGOZ=le(nO$7-
zIxO7cyZ2Rmab^FDe90(*iNtPXx-w3#d$)WEN85w(c>|u)p*te%_$x$Ux-x``goa)_
zj-3Qdk1;h(g#rAd=sc7iRVEeit1Il&T@w9rEMsxC>053@?dx*o$BraD-?!1lQ0s&8
zm&@}vBIr29knc|uMoVhB`*5XQYDBwE5*o=p=!Vxm9FQ2oMENqSMh9`XcVob`lv3}+
zSF_7E$GjA_6UxO7W^jl^NTC95z<258J!rY;(fT7C&VpiNd|@HFJ^p*yL;?nQSJi5?
z2$(@GWUg@%h%PN>I}w1LoOphtV6cV7&PHD?<3jr*=zWPLp#R}vKaYY{CZJGmy7cc8
zd=+VAY_j|~@e4Pq9lxSQ)laOlyqSu<1b-^Qe1&F5^-_X^3xASDvXBYCrAPz~FA4_<
z96Vhp(zOApD8AdzVfiBzH0ocXA1Ox7jz*-5Btm^CXp|16A_=V}Qp69dBOSRWfY4gt
zg90wNe3XVuoyJ7MoT7h9xs73~-=4z%K@E#RQ9mVoQiDGqDep#Ay?r875xk_lUr)dd
zUv?6QBia?2zL4p8n3C(%+U=cXg_06OTiSueuy(nf-SW-U?fkp?k4f=MrJNF9`@b4a
z;mxgSj$98`$xXwv6h@vm3g1F;SNo<sr0}?Y<H?U1#ZpjlzptR1)!Zrzw^!>7F|cbj
zjMUi|{E32^I+d}!xZR;u3C(b($j4o)@vJm2%3F`oL{K<0_lJ=P=-gg;OB>nBPVz%K
zQZwSYy>?R-c6JA`Vq$@BFBsl3<ml@1_Nx;;rPI8VEh-wJ&<`6Nb!P@2$y?C)+ZbVG
zJr<QZM(bh~p_YCQV_{gXbg{he8s~&FjQ(aNwc?`e*P0HBoEZ2;-mA5{9^ANE$UpmH
zBj<SQ#ka<LkiJ1*ra7dk9PcLN!?A39oS_B<#yJgPy0V+R=MjnTUDv+)KJC_fx|tXX
zHJ*ETc*v4F3P$G{-H}DqJ|*;njG8SyDIr%$Z9-rxt@F33Dkl%8=76h?@V(wy*}fjK
z60hluH)Ud}qayYAbSui77R{dKsIvM+D8$Utu9KPlGFmhTMgsygB;15yN7$Ga)>M@n
zv#0D~k~lve5;Pi{W<5@3z+#9(j63L8qvgGamMbA}&4WvI+H2xD0-kad;QqINO?=mW
zJ9W>BYTHn6XZ05%h8ntU@{y~I>x+1MRXwGrb|jLJ)IjzkEDK%8xVTn9!=RRHcJx*=
z$6#lrL(xdhn<G*2*GLX$$eyl_o>RU&EaRwX2#@|(yoFP?k1pYcM6JF*qa1`;D7dMx
zYmI_a&GL&L1--heEHS>={5a$Oe!94ph6lFVe(4}RsjhYt=ke;%&&j%^<wiBDjZ02<
zsJdJ=fHqOWjU#UIv&x!!as*B_Pc$#t<-BnIz{Lt-nKO%ecSvrMsfglBij0g{4eMjv
zL2zW(Z{>RN6yF%wn8j!!JcrH6c(sKZOSr0RH{|a_bqEoTML#tXXzsgnX?u7l;hL+c
zO&+ma&b*v8HBEceQnl_CkILX*aHf~WbnIwsV;-a|fviaoP`rB2VZSOjOm#!Fb;F!#
z?AIgd0S`@0!B2tmSwug9I=2cA6grC{(~Y4&StM&3I*Ty05#Gt>smIzbE&0CB@I@x_
zzej3j9pInYK0FR8Wqb|6MGNcys&TR1UVbqa(LD|6AGC~t#SkPW_HT7wkZm^r>QZLE
z>VCrkJcSN_mU4_|zq#xYFx-5;#2s~`JJZvz<RK?qiywk}z(qY3Z6rK{s~cD%gT
zI5BX6r{IRVJh<vS$x-$BW3+^oODRm>|J#GI1?#^)`mxDQILhhmG^99_8xOc<Pgs_)
zH;lzAf7+YNnEmDfX9ZS<dqu(p>dj<<8Wc!OMvmsIuprr+t<Y9c4x(Iey0R0wWM^?X
zRp^IkDNEi+U-d7-g(Kf)+F*o}im0Y%ZV2Feqr^3BQjrPW{9vWCQ>jYFAOj6Fn=7YF
zrYm@ET67|X-7;l5R}0Wz8KT2E2J?}RXFf^&l4fI^4HqDzm<1V&!b%7X=gO=Q>8D0!
z%EaP$b%*NhJ~6|wd-X`BD>swi+KEDgK2|GO>i=S=UMei$%<=>OQ?Z!w8deAQ#VvXc
zN3)U=a>IU;7*yE)Y#K_IAO)jWKq|+<M#Zh2Rl61`o)TG?EU!f=LO$c87|;^ApAai3
zJ0ts`lSHODiWSqwD}g3ED@)++jbo{kK-w0YAHgE|NiLje%=4@hjL%U@me)i&9CR~v
z<X#y{m#D?LSH=F*465S~S&EFE4}<ip;ZQQu$3!u5&!6|k7T9&aafRmVv)kJ#(S^|I
zqJtgQb;6hDzfT<++L5QRrRMhdMS94Qqpu|4_{8`AnT`x-MDg&@f)0iY-_3o7$QF+P
ze<yPTUdRF#Au;k6Dwp}w@ImYTf!FNSRh*!Wpv{D^WnfQhIyvBfb`~9o1qQbv5q^TT
z>X0N4x!9tZhDRfk3y?k`Qd^=EP8upN|2uNzt0SGQ^!Xs~TIvgE66@(!pigOtshmud
zxv-H^Sha);D1|wBz*?fyfs!gv`4>`0_j#~wcLtP{!7djdc3=jnwDdc-={#0E*FfQ-
zh8>x)u>9z;gy$nOz6D`5YV_ZRq$OrKU74FOy3esVm7lj~#W5aA>_{ZgXh#Mlr5<h*
zy>S#zaSQJ#uK8o{Cn&eOldO`5VjgqcC=-!xg7QU>XP!PE{Qhv}lRp%ug!chX)A`<O
ze#!EhbcwXmn`ba7n-=LN!G*a1G9IEbF0ZSa&W_aOKHv-0dzQ0T|KWLz*(lcdIi_>v
zf9;cbry0T?zHfo-0<<FW|5}mp%a^auE(erlTIHcbDIqJXBtT1&Q!x`2zwsw{Gu!lv
zwww@m!`y{0{M!y(8Kp|)$Jr_=iT`CmlS*|nz^{bVC@p*PqP*-g!$WS~YV_f+d}wEI
z)Its?)-56^(Nt}j{vfJS2rH>bW5&f7rS`YDE<O4(X2){i%p9`YNk)sgMN`EA*JxFc
z_8Ltk%zab4XTtqhQLv0ib|dPTmO>BQs?YYN`DYSNRZ}^8edi_73mtmCdhU<6VGceC
zD>Bqa-%ILda1m~bnSTtmYRK4AU}hKDN`G92Udz7)3U2T5P4s@{-*((07NkI~Yfs%G
zW^Hf9#(^ySklvaRU3j{q@I;Bie*6hARgzbr8eQu)6|>h@U7q#I6{lQL`9l8Qk`Q=N
zQ3QN$M*=#bp?PHq3GMAvKnKo>Zwp-J{RSi%=K3VSSyXEzL1I0>vy^y1AdwTC!@V4M
zXf#yDef!XfpM!}}e!wH>B|+Eqhb)Gl(Hg4Qt0(!JYVajyy~<8`_hu5Gt-;&DwRDA8
zJRD@U%*2=C4l~B`7S=zqufJ3+(3LXTC}+oYgC<=+3NG0vgRf*Vb)Q+k-|B%#Ytl#`
z(g?nkn0L3-<wO>dfwC{OFwq)^VOnqpmC`SkJ^L+l^;D=N@D;@U=)_d9s7lcx%ii1y
z)8$J`j%4As>D6)&%UIk2^54*R!ZzKjK~vKaMw2ZcEADOcfe%Ut%MOepjslZw)qy0f
zQPiMG!^6_YU+CONenx*OgV1sC5lGZg)oe2F`{zoo%s=y3x?JroIHPC#qJtcTpE$0i
zuQkL8MaL~~5&MKB6V2oXdke5GrXInPMv|`Zwvnt8RlVo)?)^+EnuteEHJBMBt;$_V
zD7q%<`L|_4iQ4Rsc#0_KUKMMvZ(W-=>^_d72V8{2?Sv7>BlD9Vn4tRwn<duwP%h3{
zQ@5>6$|M($N3676di;soTs)c8Z*L&K&)Q8tQi!0S<9v(2R|UqgP&wIK9h9LGelWqQ
zkMXF<(*S=X#r{3NY2ijJ4otPdDE%pJE=ydK7P+k$ogWrBfTDj{`IewSU-D3w{v!Yn
z0qQR=mKYOnLC_t>T9K>>GTJJR%kavC)T2wmgceF@0LZT~V#>!7TIbe2zQ6mF;&DGT
zMdC{=#7&n|JVbM+#G1vBLK6b8200@9m~(x0^r8TfuUe~jzN&T_!(SoyP9;x!zRk?D
zG2#~dK#7F64Mockjz~L38<^U;;<HzD{uE%M=3u;8`oibL2toUO>r%Bo9$&Az^z%^>
z{OxUD?C_&R@zh4PXp_lo*ER_B<=e$(Vi*1-195%$-SBj-V03GOVSNAPm=h?_VHi!^
z+^|~pIKTXUf1G=Ox;WpX{4xFUiYC3%9x;m=T}aIL>g+tymlE<%_Y1zk`*H0Z6_<Lj
zD(!eaq5yPLVB8|x`3Wl<BTTsk9Hx?~=?aDA2Lh#e=j`FB=qp+Ft6%OFo%kVFrJszl
z_A2g1y9FD<iwz=#_gPH`H@6=S5luZke)ANV@BjP~r|fF2T(AD5qB*W#PoxtE`{q?q
z{=db-tl;am>oxU^osNPwU9#FhsGRaq1BxXKDDqQ#pl*@b?D6sz8WczXhG)X9sM=GC
zrwj?C?XlHx)W}p1BWS|1aK&A&RrJEZ%p)^MNlitR;9<RYRs{@D<aPNc641rpEQ{4;
z42Y<Of9<kamqlBRSzw8oi}0LU^zctIQIi^<to2iZ{u<J&i<C>={}9SfDUDn!YtrHd
z^@NR&P2&EmAGs=OOZP$mZGgFd#w&qX%xU<No1J~soI=kNqc4jnZ&;6PlXH`rWg>Kf
zAV7iJPL~C+M+3h-k)=$z5Ru#`*ZC}+3W6K*2uXBu)nEz9DVaB7g^7QEGrZj_tQBVO
za<l2k^^2@#Ww}k;YLwWzYumaWp`0$cAn`Sod(gNHuS=r)jpe{cX#WBvprgGdvk+t@
zLvtvGqo*^Y=U_0}Smn+oJIOjk<dWASc(FfIpe!9yr6u8~MNdF2i!)$u#n2~zGI$_>
zTFQ)mB*(Z>=~6A2W2hDZb`g%bm}WJCHtRH+#US#ruM$PG{*YDCveX<(UNqy~Mh`DC
z)&f6hS$Ksj{=U?!cmJCY`8C0_Jwi+Qzct5r@VRo5z!hKMLB+#ES{WLUj3f)l#OW90
zm@>Xb`njLk80bj;xE@LIJiK{$o8T$ex&u8mk%2skZg!4wQn&-8`iF-jDNr(7+8H5x
zp?b+;-ok+m?lA4`duSky{vInj{_$<TXVqrnd2W`p0IovrX|&MjO!ge&H`Srr0`wrd
z&`BUx!@5!=+Qa~49l+T|B~ED?<zJ?OR}MgN4lh;W+u^UFF7mzN_q@X=%&~c8oSO=c
z#gk<(1D(o{Jvl?Vru2xR#9S>}K}5=Nsh{+tnbEQ5X~ondvrr#7LIw!d6A~Q~+cJ@3
z_}|uL@=*zB>KSq)rbLPe_~WZ_ipdztX7fz!E`8Ld>`JEZh2qUV_wq5~!U#5HOPzQ9
zp3JwlJ8APRRsJFphga?Y`({o3h>K&7?0msxNM*+_q2<MoE|*qOlx}H13SSI`8y+b7
zK0unPlCrjqeDpMZ0M6BinzrLihmU6m;5=*v<@RM_*ZWGlDV+x-@i}dvX|6rj4RV<!
zS6ObdQU~#s@5B!uKX(2APL{l^?Eir=8Q(|qlrIrT`HRwVz7Us;r`746n-hQ4C79uJ
z72aP3jhjN#6^+aK;`NUd!5Ny4d%u?<!`PpzebD}EZ1P_pNBRx{m~^$Y!adxoXxn&n
zJg_m7%P#+t1_HTt*d$fY-&H~MROPp2xRu9x?+S4I{;DTehjf;yi9m71Rcfsy>LwiI
z+e!I7#eAshbDHw<I+;R9@alh|h|#9*7zAkhtH>^}qW%LG&^!3UG%2Pe)ny-!TH7)z
zTYRPhyWlpIGj#4Ot7IVbsL`6lK@_IKDJ!=mQz{@G=&7Nd>?vlEi1YtA>L&T8UipCZ
zFCoa0?vT%HF)w3R4fsD!v6?hZ6=n)+nz=6)pCCIsW$lzyhWla`-ItvAgbWTQao?<$
z;Jb5#c57zNN~giHAp)R4X7+vJ=4ZtDwD~OL*<68+Wq0#hb7`Tnd&^$U>+~DQudeX}
z-J%Wcy|hgm%m1jJPGVCaJqRuM2#ZIZ?Jd5!qxb?b)1^<;v~$o}_~uH+W}~X(P(~2%
zHFBe<Qg3UVbeI#^78?K3??jyrSCJ8BWE!fr*q)M|1ty!!&JIoK`;S2_GMHB3qXB$n
z-GPodj1G59bw4kw85{FJ?e|gU#6ORbLW~ku(0j1-M?%Zed2Xqj-5b^;FpmEIW{E~)
zF{$y<#4z{Aecfp~$DvIG!>rR`*t{d~C8utG3GV;Jp*z{?u7GT(g1#k_`a%A59m}6o
zhPWLUn7vur+s1Z-b?JZbxxdm7&LfMbh}FVSpeMsHcC8?08^q8WM7sjx6CLPV941qP
zWaxV;FbXdj8{4>?PBbsbLXEGMTe@g<AGVi~7@hc!VL`IGK|)X(jHOb{IYX~t&tmg{
znw9QR8_(r9-iTS7Fj9@9{e7bPE8dmSiSal7^Xktrs&%)R92}QJZ3^j}HKHO1^F&Hq
zHqpoQR+gIF(A*3U+nO>o28Oj=Qf``DYj0MJn({<Z&9X9EyMO#$JUkenDJZ(MZ>M8W
zt=0pYk-DFE@XIUx096q_X*ev3gi5yx4m9i{x0jNr09@3(n%-J<n?m1Yotoc_4RG=V
zXuD=JQYgkaL^AHN+@Gs>oZN6K+W-g<7O6~slbg{s7y0I>9gsUg9}{_n;{Rd2oI-2(
zgeMcgHcnwDm3<l6t#?@fb=OB0^V)aNOxFLCUAV^f(b>aeKS)--1lnApjhjSGsUspl
z<20cuW$CAe7-PCE4e_U_-lOAXM<MQ1Cav{i0nkRmG2G{woaVW})ReN)zvZ5fdC?ZV
zh|%KidKvbbi&btq7(T?*=B6iK^j?hV4NhiA?aITzPL}BJ4R<9f%l38-_3;x;>drY8
z%ZmI!7*UkvdI_wr(9K7w`1W>n<M)}oTK~328gF8-+#r|34ZXu}Mtt~lOfl`Pc(I5%
zk*4M3m>;|S+_W+_4DD@>xSRxGhO2F$u>-PH+VIlmtid@2^VH>s<v}d1+J|9%km-Ry
z3zSgDn0@RhQu~|~_-+!u;Q%*2zujbIH5-l)NFAEfF~XpLy;LKG-3^wZg~4RMDBLtc
zJ0X7z6*tyJ<cv%!<J18FpkppNO*S*5(>NS$A5$0*`Rta;BrpH@8_cOCHA=?Q{NQ0j
z`GOlGVVi^t8FQ_y19L%Rv|LvtjZIOnt)}Rf=6BOCpJ0>qet(*`ZcH?1H=Rfl-l+|U
z`rC#*>apc6WMJ?FXNCpN&To(i>z~}gRr&C<#5d@#IDM$1OkVsUuz>__ZX%JcEA3<s
z!_c=0CfENOd(EqYHYeswv3)2nbS$SPVwOAJv-!C`;9PQscr55VOvTNOMCPY%*<m&U
zUR@0s+<I*MkQLJ!<WlRT-D>RYFTz0#4^E>zMWTy={xoz*rRBJ5D>RYa5r0Kny`Azy
za;n2rxZR)SygmA_OA=V^jFhYd5M|+WZqqMR@W}f)v!L45zKQ40+pziVGFr~&BhX9`
zg#pl=O(R}M$7vPf6<6%>uaZ~x3jfE}TSry(MeV<b?gk0zZltBVr5lv)5b5rg6e$I1
zknWW3l#=e0knZNU_`dJGcieIBA4eISaoGE;y=u<&d7inpZXZIe5N{Sa1xbob3R2J3
zdHauv>uR;7f#{2}q|rzz7QyP?Ve?ho{1gUXQ3|87X@@mkV9SqC?4vi0$Y2F;gjJ4V
zgAY-Jh7c?9g{WJH|0u7iav<@rLcO_Lg8%t%qcdwF=YuRk8=oU)Lp3KwQeaP|?xl+0
zbT%I(OG%{{rCB|ZN~VHbm;w#M)f(b^0H0dKCN38FP3WI8B$m`De{cv+U?}g0V1`e=
zh?#C*7@7OFasi|x(Z25|n_pBforu`1*r95x7~cDsCanTrrem-{q~f{bAgU{edp0u6
zqh9i#Va9_40BR#_Yaa{?j90d~D4PcRjFa4tezmcUFYUCHjJKr<`^~Ru)9}#z(}U;3
z-BaYeAu22#_;GdCLH!F{V&-HO9JUQyx;KYPR&_)VhCh!$Rv`;IYub9eE$%VyGYQjm
ziGgzC_Xzd-Q3!+|%}Tw%w}hTK{Yd~~wA4?vyz~{}b(Od)uL~ALUO7Z}LavT_Z5aoK
zcyiK?w0G+ju6cJA=iH}*Xo>H3thCN>#{K1gQs1`mW*|F+SvNNT@3bH%C7o7Gg4TmC
z*rU>hl;`P@Z6OvPh_VgNznjn1fRY5e3Lv{5%^Ft+;(1c5o{)W3S-)eb0>5Gx`PWjn
z=ky`;60{s@)<l$wG9E6eNM(5266O@OTD69F*@2W2Q{!=Q$#d;9Lz0WtzevhT%WJIY
ziM+pi{p%Lb8w?3glJqz}3Cmqa8xs%HajdEj*N>A7)uCA7mnW0935f8KYRE}`sK#e&
z#f?PzEnxB#2m^PxU*t%;u!hPY5gW*9oo?`c>jvu=P3ZW}Kxkjwwk;iv>tZ5$al}l5
z9QK~0<bHm{7{Z=}RM^wNeY-|hWR6c+L|gp26|!$!=nN_}B=4sgrNEyp9hswchYvO0
zv!PSSznXcIsJH(*ipxj{+xe`>vtAc$p!QZf9l^KUOngH1-DEF)7-9Wtq?^c#x6`NL
zNfeymrH({ad={C91T84j)chJ+EOcX56XA<B&t@o(NtE;_%QL0Fs`ZGTTV@N&(O!2E
z)5jY+=a)RG)xQZY)X3c3w*#f#6&^vWbCBP*Kv$*GVJ1dr#*v0rOhnLq=V|q}2ozo8
zYWBNFfa+|sTB*x!Zax#Gv_NtX%=bqf^hejpH;=d5f!O1S>f<Nmg(e6i3_R?|ZV#3T
zntW5Ii2c0p`g`q=la${VVW1krt{&EG+fGb=ftX(2M6B(76f9X>V4>c8m5Aj=IAymP
zzSn+4E18XV+yZ<aGk&xr5hOL@Pz<Lk$&&T}@1p06L96r+3(84ZCOAsTn3y?ujR+R(
zA)de`c<M6TDXBe{0`D=Ia63oZbYusj%%rYsl&3!DGCfnLW~I6M3s}gS)_sD$>ef%)
z$gvolY`1h2&rM3EQ1MMIt_sPpj4v7@>ZZy~6enS26zAK%adJ+9&j^m~7g)~%WOZYs
z)fMjuTT%Dxo!c>@4X!jxOE2tl9GXmN@E-IN@=cgwBD&IzwRbT^G<?%HyX>htER`ud
zz1GsMXULs&EL%?2-@H2zKp7}#St|@r2Z^0kldfq~6>(em{W=cOQkCVH^g1JXeluTZ
zS<*O(N$wEpq$fcQ%Y(R%ED__28+^NZ+kwFqRMEhSYpak@yKpUa1<gK_=AfyOZQ0-N
z(W4HZP`a23b?A{R9apVk;XHDk&ldnEla-F`-}}^`9oLR8*n(!3k!6$QbiTq`<EJSJ
zfF8`(zDQuD5BE0*-C!qB;$7ieqi-UC?C=(?u-h};M)M^KbwYCJfj^&#WfRbg1}iA`
zW~gKpNy8UUKg54&LMBpt69m0eGPIqVi<NSLypdoa7Q5|JbfrqZW_*=EQptd9Kr*wu
z`~fRbz5GYi@T~H*gKpHwpR77xalfO1M?#c8Nz6W$co3t5W{D**nP9MIZ%~|bzBz{y
zRmX{Ef(b!sVq*7*3#0b#N<7D}uJL2I_#D)e$eTr9^k!GT(`whC_z@7@G)(=`LNaVQ
zUJ)W)wxNwL(@Mm&Nw-LoMTStAWT62DICJa6x`aTypCcImv}sBzk+p^NG-|jUt#&Pc
z@LU5SmVw$6jA-DNNb?*s$7!atn&E}N+EYHKFe;?dtRhS)frQPBiq4V~($QZda*+Vb
zcTMfQ&g9Uq%f!A*4aYARXi#0mN)n+^jhzzHSm@Kct!b#YF=<;`tiZ%jtU$M@k)oxg
zks@tTtT3aJlJkoiP5r~Ts4F|#W=mF^*@hD>nIl6_ubG^$bwt#V%w_1nj_)$`@xNCi
zKg>nC9%m{unz9v$*=RX0dp#YN@Fy%W@spG%WQ&K3uFI@M;(5`f`cx=cV{$Eqo=69a
zQJQAA_JS)JZ1`!F$r5ep);v`0Rc_DPRSMbC#I?7^5$zg<F`}-OnF>hnY2>QA>r7T?
zL8@A~8=OB@(B58KUT|zo-{xjd*qmJN2RFL0W_(N&Pq+m|`?}n}Na0Pxotf-MVc~0P
z<qo!M`PQNF2ct_o-&?g694O&)v%WJf9=10XHISTtVBhf9{}73pf8LeQQJpMt<wf*P
zz2RcvOH0<oLP|qfvZ>jts9S=yTUZx<M=yDmCpr0{p2)AW<F#_Yf_OK)WUuH2+BEHn
zP};>*)y|LdJMN}4;$FmXPZz=o_pIUNZ(-db4XDyps4reA*Ow4{RI7N%w4Fk!zcw{-
zKqZ(T%ordrAmo~@YJIQTG_A*hQFz{8zLD0TZE_H<ywQsH^^?ySVcwFw%%9jxOdT4C
z_SjNS%kzUy4nLXMj88i#QtkjD&731+5}`4%L6(0x_C?w|4)R2Wbx}OZxF-F=J$?3E
zHdp@D)2?ZcNHIq3U%2R+yzs3Z&MRL|BF<lzoe?71FJyjfu_nxTqhl&#t6%W=gMZrZ
zeYtm!Cyd}Y(N_MI{-25jUZOe;|8|WsT|!M;E!O(?trpWzkhJ6?iGih<)%JxTg`ef?
zr>DN-m9F*#LTIv$$r0u?&pl_#vlIfs{8hB{vF%T9qX#GsCrWLph@bCko14!?fwF)`
z97^FCvw9UFe<q09bLTmYy=%K(<rlN}*9sKa?U-S0Y{%0{dlztbPw-S~?>16Q<!*L!
zU0+`Dkx8^gsR4t5V#0;GbOg=rJ!=<{|1`+MP3G^saqFK9WGf`+zI7DW3t2ChQG8r|
z*ZKX}Eh(!GI>)`2+)I1p$D(flVi9QsS?s8b?7i_{J?6A#hG)xmQHR>Yc>;Sc9<kt8
z+?X0P5M)!?mT%AykG(&ZCnn7dtcTjIT6N>q-s)2hA6{QBPKizbqKG#qtdaiRf0gh3
zenHDvPk0J3uALwf9IAHi7Rhv7QXlBL!w!qAMyE5^v6mWDu+_DxBrb$7GB6<F(7x*+
z^M8QSO=kBvF&g<HfWNZRs|@{)76%Y(<?ow<K$+BBht;+hH(_yc<epL_BqT(1^u9*N
z%@^xNVm_yy>{x{qR<WOdD43a1fhq2b<t+qqe{~2bS(5bjs)HmW;b#Q7E9g9L6bo-U
z2gas&nIu|6E49W_)6b})GIj(CP1YO)T%OOgJ{r5@ocmn4k|7yiT#C5@(A7=jr#;aC
z`-byH`c`Ex@`T5NGV|L>!DRf3Mo4lHDyPKlfl7wtzTHxWT+52a=#BK3>jGAVD_w;t
znFpnm-?5RI{%uIk!X&X6{8xQFA}I9~b{QcUm_Hlv5t+C?lCf>La|85)WF!2Tk3Kya
zU%qd47RKRSeR$)Y?HJ*~<BlK+d^qB@_^l>;Ovnt$zb*^SN~=yc?++Tfj6SFidRQW@
zYn9-<6TQ!}f+cj`jK$*zGMo5bMx(@6+`PKuMd%L*bua{L_^FmS@jqkK+8wua9KF;X
z?>SUg40^l=w}%t&o!u<Z-JY?~AdMam#S(4of8cX>;;$;_ao@+bMn3AtcJEq?f}TJw
zhi$`K78@Ss*0)-Mu~0ISO}wY@SCM<8taFzuKH~MjfgV#ztQc!t%wcHNu?Uou>L;gX
zKI&B^nLiO;9yXKRyG!jfPXZ@6dHH|ePGzeYd&_@OOH)B36DH<$Sm{Y-(Ko8nd1Et0
zA5F*!4=V36)Q>bDw?$zH-$2B~#OCU3@%!S);sCEi?0tnh;-N@;-#wnMfPb*6%*M2%
zxbSx@GY(i!Lm<#FFrfBxz%9Aa0s7z#qK@<_<)wFERdf&;wQ@jy$(d}zPoav0Y%fJ}
z`U+wJH?-M5lj99yzPsjxe>tA2nZ`W4b|=`X2_b8DF}Meh{ho_ofB%a$IscWbG~2Dv
zb!m1{B3v}G02836Se!i;QEt9aARwzS((@C?k6xDk0>Q{jp4RVf7sF1^4-)AJcP9y$
zo9FvGzS^UC*b4u1F!(YgrIB0zsj8Wvr}yTo&wgUPqZ}n^4H`u0&ys5BV=YR{0RffA
z`f_Kbu6-(xi7>jo0Fsp%fuKw3U3Zk#r3%%%8!G}~g64tj^ducA7Dah;aXcKH;F#CE
z8*81xR*Us4ke7n%yQ}RY7GoJP#hN9>L%?v?r1vx44X7@^w!R(+NJOKF94SN$jQ*#`
z`*ZD-V(o_GiP<9ca6A13Y5>+lK>)ujzj+0*z?ec()D&Gru9R*r-xvSIpo;_FTfA~V
zV|Ad1oOW0|ynu%|6r|hy)Yk$PXCi-nl-lOo+}ynBw(&7P`(M_4@w6Zm8I$mbaJ<ZN
zm<Y`sgitt#9UJVZ(!L$DZ|uHvJ2#Jip?6XFYe83COgVOzOB)t3&_9uoQ<7hylAsep
z)lIHiPg%Yi)L<>JLlO4AwDj>``{3eP%UwMEA<lMZQ=wI)SCx^f3RHK#xxe250U9|6
z2X-~{rfBxSdFX$@_C}-TRG}&rc){FX6_G*PsKG<vgO{y&IXQ7OOSGg?SU*&{9qMs7
z7=uY?a&nTmyt$kFc5Hn>8(Ie*_n#CbKx;OAB<IiKAC~0Ja(jJpdh?k~zTmu4W>kAt
zr9x!b{1}i7UYtEdfe3~D5<T01ujNNukXdMFb9=gr+rJF4m3y1ioU>R&_9#$ON}q&R
z+}QXQ76CzkCvO^frN~D_MKRT*(vYJdAyEv!++}ulcCiZ(Y(PZa+<0D0w+;Ot@#2K8
z2(&5;VxVB)aTj+8IW3HU53Kty7Q7KB?CLhc)P8l*D-MphcO$y?A?#M`KK1Fp<6Ha1
zk8cS|=VR$|xT^6{`&J+j=TUeoY6e3p%~Zi}fy?1TProuSQFI1${Pwv}C|KFC^%x)n
z#x||E`NNY~>}@WRm>fdDC4c&HVo>9Cj}VSIw}y|1yms$PvRNNDH)dmM`7KUnYy;bM
z78IjwE|>29T~I7U<iQJ45q%KIYvbB+U2;toJ6A<vdi&+N^XCrbrFP3TIQDibV0I<r
zX`2hsXvVG}jr?pZ*OG#b*AS=oEh`8Sn_rs$FIj$-Y6HcW)71#!^S-m(BcS~0f8BpH
zT7`0q_7`(AHrigsF5A|()##-5*#IrB5Ch~U6Xr*zMb7wKy9q+3QL6eqVL$yH=zVac
z7lgNrGmx%{y;N<GtAkc%<W<SRE9PDG!AYQAKIQlQWfyA+AS3|f7EQ)Tdt?3vF5tNz
zn%z?QoN1+_2?FDQ>v`;@;x`UBpvkzMoh~6>v@WnWVt$=4mPQ_~wo2->OE{2i`Sz#~
zV*B^nNd8rASoydoI@85xRI+x$cyoW9k%`LGqeJQ#(KV%HhtJYlv4q`sb&eo88Fc@>
zP1!xnFbl&@>vfAywAD;@2FQAufT#ni(zdsnlU_{d(?98IAqO;koBZQI>@pR_3_-#%
z;rj!U^Qj_r1khPzWj~>g+WyCZOO`W2iN0XqJtKU=!Wqn8Q&R_gZP+L&q4n$SnoLQ9
zJLB6w6pAkrBpla@i!46sQjgI==~GhMbCX-~>THOLHfa`S`6l!dv?i!C%R`S8Rfrvn
z;FCVpWS#q9kGP=`eLxvl_^x7yB&$GbSj`U?<kU0td&0v)6c*ma;d3a@LWdS$Cj{z<
zG<$d5;h`YOVD(de{7IIPDNKOFqg8q$<Ox;d3}jn%@6Sxcyu4ly=PCE9<{)XRs9**K
z1s#2_0NkmpoSYc2n_sA{ddB<Zd+!Fez7dG7rL+*M|A^`SvYfd&o%c;nZ~&6l*fwnZ
zL=hAm%<gru+kCYH#4v?w`9mMhRq2fa4$$OQ)h@s16{+p6CUxc+K|*OY7T&{*A84X)
za|tSp@V$<AzQ=Z1+0343fN@dmutORcd>>tUF$URoYkLfetu!8p!&M#N30zS6gS8m9
zbwzBc=eRd@l_jSt;s>w$66e-VxltIWWzp21)k+GNC_ZKk^wfWiaUPCa_)f9vwsQCu
zB+ZZPnJw)|(&wtrWGh7wL`GL5f8N)1&WZh~{FLM+zO9kT*RVNIJ*5Pvn|bGlx51Zn
z-(_towm_lsn7hBZxT3CGkxLN6u1Qu$qtxaIu6KG%PGkYH_8-0B+U{vsU_2-q;3Mtj
zb3RB5+7*{AbY0@Fe5C3J#n+wi{NLR>5(~D*%r)#0_}!Vo=(%IabZgbEk!{2!hSZu2
zudv7Dd?M5R=s_fZE^3GG6eG6o)C>NxIqMp03<N4AASl~h4=3wGVQUEhNOy-xmC=jn
zYQN~`S?|_tg`rG^LF);y{m%iiq?7aW?(u91sJTn!pGrTvLXdFAt4w9WlL}wT7=Y^Y
zDQt#)02V%{vjdA&m_bE9hR6d1fZbYUdQcF*`$JwIP`du+>HhfmF>K^nG}2b(;oq<N
zc*aNQK?h`=$%qHD!Ev~EgV4jN?#jOzXK>!+M?1?7Q%FIe#d^h616UT7vY)$uPt-`0
z*tI)#E`PvAJVJpE@?kgKrVi1-=*cGe`NlMTS>9;9cJ*ZNyEePq%%>5e%cL~#LFEjI
zwuu^#ucLx7n#pO)7Ye___fri0Isqa*QKDVpV>$**@CBb;qk4lt*E2K6yD@1w9~FQ=
z(td}frV_L~Ki%Kr<O*i^KY1Q3Xl9WNc|ZPNRP<Ww^-A~la7y;H%>-D5m<`*ACBje{
z%Jkuw!y&_1qO<7ZJP4)z5CVwrYw~k%(WVbx_W0sIZQ+zF{1>0g$~?TcgAk%T&l|EF
zjtg!Kf0DjnV~vpZp_SCzf7BW!_(9#xCMQR`4n~79mjpPjNRf_3KuYx?^t(#0Vb$}~
z#p!iWcthZnDqQG1OTtD4ZL;<1XEhs~V)-P-<%yme(D=n)2|bBu9UL5@3D|=e!+r?3
zuT(8tW_ZE_!}E88{QsbJhG1pI{Kd{PVceSWAviid^Q7xjR<<48{{}hi)yW&Rot#SN
z{MQ8eT}#7XiDkd_iV}um2B=)DVHU4N`5lH0S7Fd@yOQZ0CyEgRcCyuUP#FQQFJgvA
zzKGVS?r}jza<r}GX8c#{po!stI~LpZxg#CT4DbUqWR%3Yf;Tr}dxtR*w(?+=!W$j_
zoFHdXaTz6XJ1A^ikfF(YG&#Ml(Y5=iDM{VRP(P)a#-8FT=`zGmR3;Db9Q>4MS>02q
z5pTFPb_s*StimI(a_9~)3%T^PrRHcczcYtctC81nCbor)Ne9#-eCm=9<V{DOwu}@k
zP_F$K0x!#I((%^vNZMupEh(AHevDWY$`hpK28VY8fEo?1u$ID>wdU!jQY&oP5)=|-
zs>f{Zsf0?0SPdT|KP&WD%ZZb=yO$+FTN8@LKmo3U@O7Yx_!#aZFOyoP1C7Io4mT2*
zETt|Cf3n+e`2ekKz|5)k!*>Vw^(F?Glbaqtoy*?8L3a_UkuIsEuEGTax4x!L*_KxJ
zE3Gks({{ZgX>se>Vu$0VpS+2O(Js<?;X9`pvmFJRC$3j6Cq7QAB(?SK1xqeGJK5u|
zIJqms1|f^7snMc;XpW_&=q%hj-Z?r#gvCR5@K+vrIK-Pm$LL=Fzz+Ad$Yk#Fp9mu2
zsYJ~v8vAX@#9V4U;`5`M-M5Rn>w)k}h8_F|%zNF)p|Tr07+fi_Odvog(Ej@15*$ui
zG2#nPR0i)~5z|%YeB>;L(1V;5RTY#!7I<*)ZzOyS**pH#ECDUnwB!G}!KC|qY^~Mr
z%gyzq;mcubmiXzA<+JpUg6V8}<Vkf7c0VnO<1TTgz<VCj?l#5#%9Aql2*A#=`P@*K
zr?){tD)r>u=8AluX9!NO)|N7<r>yKS!g<bq(7idy4?mClro7KTo&A2LIHfG)@P~jK
z+-gfJwyB5@_HkKi$foxwISo6BB9O`$6^fK+#B_t9td_&C0K=Z`#H}0E*&;1*=7Y@q
z=nP>vI{G52QqGr|8a=1qfTfzt&*(|;CGl|OD?hZDR2N+bO29Ix=-5%;`!}lndxURV
zEQJsQPL(SDc%?mwhsV5c8V~D&ZVu05un*RXnD3cTsR4c0{)E9-h)TPry|;Ii!VD?o
z;c5ESdwy56xVYosurk}1&<h05%xN{G!#f{E-NKNtw}%YFB9Nv(RI<YjeGu=(4b5+X
zFPg*<?XVO*tMM^sV1S_*ijR!e_#P(v2kU;pg3>M~<IPxA{IB8-pF%`?+;xehZbW|u
zH8!cx4Ar03NbQXL#4&e|wU}NEOxX+x^c55z9T@3a!ruPz@GZRQE^pL<k@TR2lVVD}
z-{u*~yrQ;{yy#kVe(H!ZV7<D^p;UdlKEEAZA6;p<c{RE*t)RL<FYP6w>RWK37-EQd
zYLEbs2BQ4sUvaHPN7E?`hMfIt1WNhit*uWL^H<b19NC&b<w&KQL%TAcr7qz$D=j~8
znPB|Twk|lrEwDU~^EU=BEW)#DRbvY-E1Y>$fC(F4;=ewWqq!*fyyA#GA>b5DrGA}u
zZJ?&t%^~`(P#$L3ufvHrp^YlF9?3|^^O^$?8zU2cW*yJ9h)8X;F}zw|iJq1ZKz9a*
zIb`wDj`^d5T3PnE=yrVT8oun|tmK?5uMOHrbspA<v|UciL#9fjE4{K)&o_A8r#zal
z%j)fZz7<b2kgrTUg%D6bkG&u!S>h+XW6fF91F3JT(_UzyL?*$Om|dY36fcb9AfPK~
z&Ku1Xc>>!_iX3Imlqq-K4YpNj!_5<H2R8oTcV+d-7T)Fy3&A1S2+8LN)b@%UZ^xHg
zu@HxZ1TfO2oNQi^?yXFLBrW0)+^P1*P2=_*;`02OXBW9;+qQWq=UBqHxF{Dn-)$^L
z;ZN3-^$$lu;#Sd(a=s`dH*cs{i;Vba47F(LR6|%rDOv>Insbih+`T~oyX`p@w$bp<
zlUftPTIuZ1i1r#hKQWRrPO>@p))mcjpEiI-x8)b3T5cZezJ{HE_@r3>;bv6-PBeVP
zBq5<1az;$1-%4;K+jU>w%#SzMCkFl1qaNP649{;|pFK?R`SGsf1*FLwUi&Q2`?WK=
zs;b3F_ML4`@v3H06*E`3f5AzhQ#+RMR9ChCw4YD^{AQuz^V!CR0@J=C90dE4f|={e
z|Iv}4HB2%~clHx8n@#Fq2@6xWsc4MU3lk}i$EkC-6L03wVfndPfC@9w+t1LO0Fb27
zA7}br8tcgWmC_@gQAg@G<>qFlYd9boSupd3v1o=Hbf$(lxL-??(_cT-|Hbq{lNKad
z0f}bt8QaOP|C4mrpAGY`tY~glU&qq-a~BJQeqHAyTV{gKDPmq!A%T2DikON*9Y=e9
zqR&v6!e?%xuO>r`QE)(3So4aXlB_O9#vW#2@$b^gCaS7LQhwJ=YGft1-s{YypyWBd
zacr4hdr6`?d-3pGRl12q9Svc+1H6bIx<BhNBUxyVRG53NtR`3rq(q)#vXyK5nacQ0
zr^|zIs{a~Y#=JF`>cpS!VOT^u!W1#{Aa^CIBavC;1~?#Qwt56RO+#JL3FX!dIroj^
z>rovBO#O(Kb*q6xaRYBS4&oRbW9@;m>J59?&(zrVOTH*>>$QfbgA0QM_os*>ULVE8
zct$_*ZS5>Ao05x<E%m2fLuS<DFFru*ss3xPS#W%D=Ybm3(mGz_NAe=5Xsn3jbHR#q
zWY~2=P*;H>1FbAwxh42Iv<aM4imDvle)^*{hYR;StFJ?k2%G<Vi0@xE@9rB9H4%6B
zd~qsT4f9YZ5@t)PtRgsqyXIzIurAOJ+w@*>;;RUCV6YUwA{!DX$9y}sf174J%5FLk
z6282ggd8)jl0;Kf0n=v?|F8n5pyRKs*|;DtCbL_?EcyN2F2ZLFAqidPlYCVQ8`NsB
z)LR!;BLyOvr)AM~Ev82LScu<Ks1tz#7TwnQ9VOT6s8!-N-X50{=`v?>%h(m5e+Oat
zBJrDaFGZzc-5y5WWO;*wxktM9xo!WN%5VX&ULUQVA}uIRQ>mCWnO-%vMhqjKD>?L0
zmIT+lqJvN^O#OB559xX0x9ViKP+IMd016r|!=?Z6D&KcA6uDEpmcrX(t%5sz!qy7*
z`=wRb*ZVOsIb}LvYf(R9Z>kaoyjwVWQIpxp5)M#2+W#JnBEoKe-<kqNL7HOk>VmOe
zZ5+QW+}GTIAny8@eR6~eTC)p~k>-kjwT<c}WevulPh8v`V1t}~msapXK~_Af;?le+
zF_%`i^yzC0kyb^GPo3ESe*N00NF8DY_00F*<0@}*5+dATTNN+qn^qm%UH_kpthUr3
z#|Km$3#}iOYsiL#?X%7i<aUo?diQWN;VT=hAn7PeaJV4+nS!y~8L&&_O^P{*$T@qF
zip<DMc<NwTdx<j}G4NbO^DomEnKEvF@>2R@9r6=tPm!kN`mhc=lNT?^g2F`;d{TT*
z@NM_RI5_<x%64#KrA7w2-I>n~%%?5+_%5H0cG6C7>AFvif3A2qF6#A1mtS3NToi0v
zW^c^YsvaY_3%A9Kfkf=m0{zB)$VG6@NR2ED`j@!bZV-w)AFpU&JM0qf3wyK{4OB9v
z8z?G;=2GncSrBmEKcS)S{h2cyFq67%Vz2uxHt;0dtI}u?$GAcDX6e7Fmzz$>K<52>
zMz7go3@WTyRdUS6SWQFwI(_;F832Uhf-M97kolWGufQ?un+w<fY5RxJ#q1>WhYHjG
zFtx@C-PTVCBYdw=GpG-I<v*vYG<{8+h3Jsqw(cAOR(t#VviI1An;UHymlb1MEo_k5
z-wKf&6^0%RMSgC;GBM(sJU*}vd|y!cB=ting11n|v$yxU<||C{DYscBlF`aD6o+uL
ztv{DWw6IC{_eq7p9^u-svpPysnBwD@&$pIi!#{&Lurt*8-j$W)oPEQ+%(W%253WY~
z@oHPqoHjbNP{&U%r&LqIiaUZ!UPAPazG*IPh`~OQ^NtDMHsG&=NPs)(UgY3qv(d`v
zBP1aG4PzTwW=2%3y6k0K4fCnvT1;pm<`~pG{@F^pN0{v4>+MHLRPwz+>AkGN@Zibz
zPk%RKj%98MftXTiS_U3^E96f}<XM7APj?^5Y8){>s0e*rDqhivMQ}awCw1K3E88wa
zI9gj@T2;?fbVmO!LgeZwNP9f<1eFgx_<1(o)&Bje=wHD%G=vGWD40CR&|;^|d>*)j
zw451x;|u@KgzkL<z28ubwmQ@$9*F+}lP4c=8;zjGRIv#%KEscV|9PXK2R)CuSIwid
zuV1-HKjNnQ1G@8ZKp7!t-JZ)xr}^*8==fw<bMiYs05&>}4|Iv5HxVrD&GAY6aHI$R
z0mRThW_7G$FeGx1VF$+vqjfu&>5PZ<;Ay<4TX{_ukafnyIWC~T+CmNGW8?konixkZ
z+V|l%k(-kST`+ltyVw2}Yj`a&DJZs9o4o#--W#rKQdA+2kSin!y6QtAO+BMa&s9e9
z+rBc2p#&{tEff8qKmUa)*QeeqpBT5a2&=Z$;PthV;^r$adR7URv(ac>jsjR#r8aHQ
z_UY?!v~bh)&GSg0R|g-l?Q&P{byTlWOkO9U`)<8UB^)i|II`#25C~iH+Y+)l)?<Pz
zMw5<#0+S=J))tQqp$<bjzZ0C?Y0>VTj)0G#UsbCet$ASQtfhsz$kvjn=mHbsV#wzx
zYz&3F=7F|pBwa^EW5rCc)FR8x67xTQ8xQXj$7v)@*dc)QVQY^i&_N)10c`J=90S*$
z#8d-f1eCKA+VOwYSNs=_TyvMS&7rochW8sfEysd-c)-XFhp^IoBzRkkdc-ltNbU!`
zMI=<MYu2eR$@lopag7zI!TWZ|!)>t!YtT10$iiI!N&^mD(0$ApzJ2)b0;7kT<^SY4
zZGW%f^bcPlvmx1%k@kcPS(mC*`-RXrLhMdsj1-?RjQ9|(g0fFZ5g4{0d0EQ=W6c5Y
zA4fIwTaY`D2akiRcN;}jC<fVetM1qMG|)~Z(z1%d5kBY`=hqAL8px+oU(rpZZa&IJ
zFEGC%XJJ9}^Yd%;_=OzgGfhM~gf6D-lB>OnRJ}tldv_IY#&+K(r~t=#2*=S5RZ2IF
z=G_iGe=kKp^ICLLR<y}$woT0q?G>X2YLav!H<tGSUyo^m+-HRVW+@?qZ|^GP6||?S
z<|pm;4<|L!?k-G!iEq^upXcjN-%hgZ*K$#^bmts77tCkL4|9|p^M=dTd`B!nLtzi2
z72grd8?@*;>yn%^FEqD~pZ*e%#g26wQB9OnYDdfErlI?lKhrLI2%8^Sq0^ag?Ksjf
zCAxnv5BB2uQKmmS(X4-j*U#nqFJUj#2(F`3sx#G1@n}w=E1z34CgV#JS}vYfl$oK3
z65@G*<D;?`Z9bLQ>t&@a=19NMlj0_?R1Vc-u8XQQUQe<6iE~PaI({iU5lCE#u63Xo
z!nSr1_V#THT+wm!c{NJh8XfszMRjMB7-o_uEWjIez_BW&j)Sw_l10MCh7lMCG%dKo
znS>T|u^+>!^##$?203|?>x}Y4P!p=iwuagzkYnMY+n_Ff9Nup4#|y$QJ{OfCGgvX@
zt@%UR#{dx1upB0;vLdTA*j0t2jYUcjz0d~r-}78eNKOr$qe_{`l2SCz{)FEXQe0Zu
z2PvuuqLB<(-bbQwM(W@o-y;ipZ;h1~ParF%57oqx7+rDv2I~IRxX9K~GZx~~=t0wK
zC<y1TD@SJ#ci*Qu6qHr#(~l5=MKsYCbUqUL*}w~HqlRBWy)vSMH^>2K3Dkk+%<vq-
z3>;AZ&}q)`1M(#%-9z8+>B~~kk!$L~6OcKd|3-v8T3@&{>!Ds2zh?xCbm5BdD@54x
z^(hhjGZtLfUZ9NVjsKa=@6V5$<cmm_C+@`{r;bpa&BXPqAl~ISx%EHsgxbmie`qtm
zd`5-v+%FVxWbo8T%x!286AUuQ8j6Pq!r&a)_*4M(U{eMIs*$zP{J$)-(a>Hu1x+;$
zVQ5n<{jlgo<qn&b<M?C=t1^1Dq{uUIsQAGtVP#OveoAwGs-2*ynjxh8v$lj3fRBDL
z))_E<9oIDfHf=pmd&z0aQ_|lny<40b3f|AdB4Yg5icz$=J|a_))COO;-$8U^e(-h9
zYoD0*@r({aUQ_<-574v9tJ8cj9Rd<F7waCGH1~%AH>3|lLVh9WLqp%<##Q7(q$4L)
zz_!9IYD!u+;&s6pgNCo94yF96+4_iO?nBnw$K=90M2|}~Gmx^8Nqmz3cjJ3GH<v*m
z;EULnQH|UFdr{{Enw@pjYB-%Jc<COKs2DkV#`f)n-=C~gVrbo2%mf!UzanIvJ5<>O
zgf)Rj^xMgR=&_DT5ivhvhGZB>yqW)iL3cLN0z%oCH-wms8ccr*Gx9psTH;kSOA=&o
zL1(>Rn0Oso81RI;|8*7O3HL&aSy$ctJAAW~%5L`GhIk2V;aEkh(gSHsDVPVJ1NkVh
z>q}RU%5o02jb{GE3z8yiWo?`fcE&$gh$XnFs68X-i*wFxyzcmZX7~mq^5tNDTq6=l
z#B~s~VDPVAL-C=0-bNfLdJg5gY&V)Yzn+l^%t~js?KT`A;8^jg{V!Nuntiyu7X!1G
z#8)M>rR5~2$eXW6V22khp5D!Br<rBO1_!Y^-xON%&a+KEBa;neBER)VPv(jqq4E@l
zk-LKBJcO!F!EcGLA>#RCVHM;ik>H!H6Du||6AYS<D?=HE8BXiZYNbVC0|iPhMVGi$
z1Uvmlo^pzMgrYZ`{9SH=BQia2C?uvZ?<r_?A0u8z2;p;L<w!fIr*LCszbOQ96XgXe
zVQiR=4IRwf*KGAdOm0cx(NBzKL{&mkVe0GesJdr9&Hij#?NHYu7Q&0lli@to8ScAr
z`b%pzt(`(6(fcXPkz!eFK!shBNHckXZ-a!1(g(GwTPeJHLd{sMu<ax?H@j;@wkH*c
zrx;rh@nXXkW?q7V(1tG&;W1d*b{^dm@tK+&A?VYVj39^tRyQ6Juv1s`mqL<D$6fAP
z*|T4Nym9;cCl&WLTS(t6mXXZdS2S#o!X3&}Vr<FyJwOPcARS&)A5n{K?c3?2TcIG#
zI~bR?%qSzZzn>h2<x)4(I$dlbiNwuqlC}@{f<Zi@GYtq3D;LUv(yWadt9gUnOFhAB
z4g43mL!*P7!brzAs+938bCw%;WR%bxU_`(dlK&1mOZ4ns<1uFoPELOq{9UA9E!&Mk
zC9Jc}LtfA`iE;y<9U@CZSS!t*qFY4D1RtId+8KA&NN$*1NaLEXq+tOmf7wShFv4Lx
zklXu!MTv>{zN@Q23xfUTDmeS-NWMwJ?lws#QL?f$DZVuW`rLzPz(DQfJ8kLOYW-{U
zy@jj~=+m-#CdU#@@XmMP;{?AXCbeKpc_4aL7l&)+Rv3SukxG+wQmeHo1<ny5J*T<Y
zM&mPqai<g-6Ab|=ZG?iZS2*$7YQkc6XAMfzzI5U-t`kLPIE8=baiwGECRrFF<l?$!
zZZu_UijRvV^4(HZ{G%ln5>1^QDKFm_U8=6>X+05!T86uI4M>-r{MobmFGOYI^IS_`
z7B?2v_Ypkuc6a~z9ym0(i$NLXUP$zimZdi<XIvx0h`vVo6fcZ6VhW+oob9Ymp)mBI
z@Wk6Po-a0eHwarp9A>wREE_9xZ9Wh{j3}{&Jg{H`P5^GnAlO`YS4OBt_4?!cL}EWP
z;n`N*jcPuGG1#Ip?-|0#x)#PwYC^#Q6<m_9bWZiy`M#jhIMDOTvuRG&!V7;msjzVn
zrLuNp`Nzy^-bXc(OUkc(6#mzb<Ye#L^`}MLV-=pk^niAULnsK>xh=APE163*bZcJ~
z$&WBAZPlOOkPgG&S;?7+BbZawsV4IDBH828oNoew@FW~%<}kOYq;Dt-jNgMXZ-!r~
z5N+K-NTw1ogIY3yh*Rm?{zUiELPv_Dn8}EEQ&F4FDPOI^uRD1LpS@;)J}F;@az7WF
zfd!{%aO2&kUGTfyTA|S?nZ0~OW4wHZoE5{nU^$%<6@Du5pS=;hKWblRb#<xm^Zt13
zzFXARKkd4pAP~%E)B0^t!uk&+34^B6uofCx?n1)k*CL>kg>e!NkZzU+rLz&437I(^
zwq+hM_aB8rO3Pph=ICS!F8BuIi9a9YsY2}HxjJRrrtz%@zZ!9qg-PRpCVtM6pH@di
ziV4bG4UgY`quJW~#Wb?FtQPLAzc*#<>Tc-bxAwEuVWG9MvXCd^ui0N}=Ug_OeSDu>
zOB?TygaytyVyTZq;#eVLGhVuyN8*2_e7sM+UtUWiO}fRtxQXbWq3xEupp%4J#v5q!
z-{FHrcC7(!(TGR)<R<FN%U}=(PAQ!8!yTo(<eunITcX}X!^|EZ82d={hPWFwIEcU2
zU1qUgL78gNzmi#mEwM&m)@7oQBl7Ty3uo}gQ^Q68c9;vYa>P(yt?8%-@eNkSD5)>V
zLP9b`RXTij>tc>QPzJv#V5Qs%CsfZ+_ItHWJv&*c@3HTiQ?Z&8_e~_C-R_|xKQ*3m
zSKEIp+|$I5@%f%)BLX%EQ56l{#q=H}62SBV%oi26-iOA<*)P&J#+}MUZOB0UgGdA2
zTseMAVUaxkq()T=OFDi)-yA+9D>YZtI+uCg76O4cb--Ogt50<!XK;MG@o`2*+(*RB
z@)-&VyG4jhqHf&2Q1g;m9NIr<V*E1WXd;R0WDgedHtCo8<#*jdF}np3NWiNn%8;(d
zh<Ur-WCcsr<$er%iO;t_h_KK<b>F(;bp%v#X1KX)521-mxZ;mQcZwgZsu?JHu4te#
zKR+Ya(J9#<;`27tNy8-5i_X3puZJ$3Fq%=g`s(+qAmH-d$N8W$rwqKHOKPsrt1_Ch
z$Ei#cK6Kq#jp@YSP9qu0S3yep2t5Dh#VZz$2W^BtCvG`j`73a*9p7^Z3VC(^nL{xk
z{i2eJG+#g^J9>j<JzsLJVC&Q`Jya$GAN<Z<E<sqsXGLR0j|Cd_>TrPC85Ok}j_-4B
zEHmppGv+u9cZ*Gz%7FJ!7Vd+9GE6~|{W$(<=_F2@7Ht=uG+oKPB}FYt9xq;gLsl)>
z(l2t#-$O;sj&;0vMR*$rDEaM_Vdi}pixcj8FfFSEycwzIC=l{iBs_`m$rqCi$xOK)
zSYP5|Ib4r#J?gZUZt3kYDn#(JV>W<(-#U*Bm*#=8?yaP7j<8c``o+6n?hcHRe;gut
zj5aR{7>n4xN)Tnn;pcXB;ob%Pw^rnWy{xPKP3R59p<8Dx;<TloJt0<o*rdX;H7Xd7
zD#Xm@&=9x;|MD2|(N~ZFvj_Yy`tYbi2is0O0xgu=$P-cJ@A0@2p$hWmZ6`F^ZQDzS
z%$JlrNwh!KcWtLB#;0Gw+0CS#aMeoG4H;6lESOKB&xgpbjKQe%1FyTbUx2FoslPkU
zUzEHEj1KSC)Q;migs3h5u8rT?TIp~j)&)WTC;M+RUl(8k5gOSf?Gy$Pa3PYW_Jys@
z-pN919iH%^!D7DGmR)$$u_;$sO4b349l}NfWU$yU2SK6?!9p0>;;DJSwn^HqXRkw$
zV7S^c$yeTm?Q=r(RxQRS?lvlu@@W~Lv->x?qg{n4GFBZfwZ(q$F(n5f;caq}`z%Oa
zO`_@+s=MB`^lsXQx$mQ&-hDEBW1s&R7h9x^I8iF9qL+TR6SOS8&Q6gH0b6()D;LG}
z51wezf$iM{H$YaL0fCh5{27OP`tDz}c|M;aKuA?j^*P}RonSa@ixW=eV{m>OQeSEO
z<4U-OH5_&3^So`MP^Vpkk%I4ZQiG1TQ+(<v9&3*b<zGFP_sTwS-wLdD>!#O=8lvWc
zefzRM<`<0*XS)|Ekkj*N<ET5{-Lce`lZ45yWc*Lqa`tcMbvEz*o84_;kg!<9A_5N3
z0kI?6b7}GkE!op0B;U;yH4)a|eswW2f@>bvYmSXHuh`m0Qn*K~Ue$P$StNR=QQ1=x
zaQ(KqP2MuI@C^+Nvm+#HNlm-+z<a5B>l@o<0?lBjq12EN1w8}dI4-ugqr4yl_wr{o
z1(hw|hVvozJ{(J6g$({c0+gn&OwQ*qM4cqFJhSIe+ag1%exJy~xN&-{UyS+VMbgSK
zq!u(dzbJ|5G0HxuC*_)n>C1-av*dXWHQS;Q)JoM7O8FK+L}d<c)x8*4RA=OS#uEm(
zMhUE0fq~YH*bB($&2;J|iM473WqEjfyVR6+IxW+E`qVAN&XJ6$qXgC|A^gLtd?hL~
z-v{%^)7-_ZTAB1;Y-(x!*Qkynwr09HoRYp~BmAQT&Us2vsPVG9L4`Mdi6RM{D;jyL
z*fgaZA;41SEQPYQsPS0w!>R*H{rbE+yy-xm-_7H{!z;-Rfe8kCLbzjsL<-PVp-cbz
z%C@MY@tb_krb=>lqn5ybLxUpUx8tJ_I^Q1P856k0hs$irY9#cnqyjn%DHyjF#)u&x
zLH3p9%)fwg-P4~iG!C-WY!K0^51V_ckyUdCq{@!g&W=ppY+XKv0qs?sjNWLH<`sdJ
zRqv>Gh`Y9@$l}v$+9h3o>Z6SCx7Kyaau{lCpH9zfBYpkd6Qcgf&~bl6aVbJU?5CUS
zx~D-DGgEc}SjUuVz=@ZaAXXqP*5#+Oj^NiHax@wq5)u;L_}qNDxx4F9;l=ERKyZWP
zB*ipVSIKf^;-sae`$&ejwzk%`Qw*hzjL2JBTVIIXp8o!lv(ooX*dmV?I0inaQUKxA
z)*KuCAu#dF)s_GieyT(pBMP6*ZM&=q0z>VqUs);@;FQ*ktMCI=Gz|B|Gg9BI35O-7
zUsQJCSMlt*5&{Pe&gV<<$bW1M-~Q&lb@mo~YMMcw;Ps*uHs!OEf5qtSBC*IAHD2=<
zs}}7M%h<rTX}^YESC)N|E~v9F%q&ACclqR0+HG$&v*Xd{bQ#@>i(|!_u2$nE)><pu
zhQJtjJR`Zg_m(B@BToZ+WXJQrigxqWaId1^fT?R2@CU9m8%!`6ZaEub(rNfeqE-GL
zNkl{>noNWgfM9R04(7jR_FHjnMA98Nya#r#<3;LpR$N3c??XPFZb%894NwvAekAt0
z-3Cs9^=L2XNU=syP@C_qAK#9#IX0n}^!mG8aDpq!W9Jz9j@`2i7qB1-Tv@gVR{D^c
zT(j32x@niytqh7P**@53f2aB5`XP{+^s;zk=UrTL996qrLQ2JyX8RONIdX-O?3P|H
zq?E4(Yq)<Tm=LlGR;^&Yg;D)Y^(8%OgS%E_zTYyJ=T&s})@qJpDvS})HzuC)>S+;$
z!MC-3;<0ZHZVgi6$Z1pd1`fluzUUQ%W_9*K2ByxHT95$Zv|Ka^gSMPhyZvn|7UM5j
z6!m;oOmHCgSgW{(N+ZsauI7f=vKXoqDo0W8KX7*g1kBE23oETV@rj9%Vy<ax&u$;x
z<^(PDY!)NOJ_pqcuMt}oGw;OWHAQVt&5)b-i`4>Bn$(l78?ESHE;lSlQJTpTg3xa3
zimGBcz_tvxkOzcbDm>6;g#?p&0b@LYi}GT*VqWq*qr^?oVP!VmY;zb4vk@c^%X)DI
zf`o7{jG-XF6$5u=qs_jU|Jz+TmDhpv#a(&6#xmDN^RiwYB#_$fj|7-?t6_z_7ebe#
zUa^RKc)YzjUX4R1;V&GjwVTI&=?)I<kI5q0dX+{{HnZh1%EGs>5KQ30yxi<=I-1Vc
zt5gV}(RZ|8B@7|tR1$#*r@h7$!emoML=lfR-%^ECv&*(NXsy1ni5ItE#jnCC_)leM
z+Xg$tKQ<{S{Jj3lVvVw1VvQ2)PL|5~EWIDIll|tth_}_!oj?danEiDEc3VL2)|^8{
zhc>3lZTrCJLR6YIunKh=2q%7nWr)ky)L?R2_1tY|GVo42Wz38R(%`uK3y1sB00JRy
z<U#?1V=cELRPQcDh4T~fB=hVi7E=Thb?wgLx#i6oJSOz-$=Q*sriFi}U%AFSR*F!}
znm}{hP5BW@$6%D3rFRZC2FLo=<N3@bEe*!gEJ8bn<w6zr<~(8Qm+fCiMzo`*B>|2!
zV(=?S@P3<C#^=N_Jdq><CvcG-Ywz}{C!IfkPEpMJV#zY#(}U0Zt$>wDKVnS#OZ9pC
zazx~&*JiJD89SSogP8AB$dF_--uk>$3>hbm^%N@=_vlokiaB3@9IxR-6(bMX>4BOx
zHc0dQ!Sw$$Zr$Tfm?RA+s}TW3&849sEIloQ42LvEeO7^DqSm9I9P)h$Yg6VbH1)y>
zAt$e;>%jVa<pGJTG(BS7;i`KnC9>msi{K;%MKk%=YKvplUq9W%+n&!!*sH$RB<I)H
z?y@yH%<pn1Dp&pPW0-4zg(-Xh4IQ08-fW?2u<za8&)#}&Fi-M$oUA=$HoF}T(JFr5
zir=|EZntb}YwMk1ciq>3&+0PZww*DHW_LT?=oR>jf{biZRaF(u-dAqeJ_=~}KHvm9
zYRB{1G`b3CAmX<Rlru*OOzqD9{-)X2F3~ERYxBK7s|X2!?ISSNE`RSRi-CsbN<W(`
zg8_bFQPb38$_`w?Evj?~OrsAM8{$|#{7MAmRxEqp-0w7A-Q{1d$2xw%!xLN)7^eTd
zy4HNZft}LW<LWSbd%hF(_`{GWaRFKL{d?k|V3OZBb^q)6+}LO`ynE>dSZaa1@Q@H(
zeT(CjR-HB<zL_%p9TjC+*@)uU+FC9%OUv$Vi9<0i^C8@pJDb31QF(b}o0-x`ChhW$
zv9aUWYdz8dfqYdkf*z*p1dKVpVPazk0pIc<c6ce(_#Z!Fu2=oZj@zHx82wjLU5}Q&
zl{^W8Dw!=UEgE~k)LiCrAMS6q<!HL&jjeb^!|OnfKKUsFQa(PuHw36wt8GG*l$0F=
z!Si-uDJl5qWWqlE)fpLAUt|Bxlm*A!+0H4x_`iEy?l*c}zT}CQmwzC~5Gc%2^i6U{
zIJ%GkjJHrV7aq7=YZM$Nd;GuMp`FJ_7?J3d(mOf=VO}2P#olH*LRhC!K&O#P{{8K(
zW?{H~@;3Ihb^`T4HEP+_QJlnzSuQoWV&~Wx2KdvxSHJtid9bJdUEY3WvW%xL>Ty-Y
z={yUlsBj4Nq8;WmVg3*fZic*X!gV0gq8yjuG{oj?YtZ9r-tssVkdyp~XlPR6L8dnt
zCDWht@~A_?CM{wC=ldq@H$Y<@b@D&Q#c3z;x$fhFZy3sM+P8Mtu&On!eqm<h<0A;Z
z?%*^-peQ*eh_Wo{PeT~#=@G@mq)6JQfweFe0|P_E=g;D4JoXUCVuM3?4t+#K1o`lb
z@jw3$^u>Dn?zK+0b!R&}<`?lzEQ!G19RbfXYOkw<$QLA#%;yAZ{tEc{l1$dy&2OlL
z|Ic*-OX%w^D^E^72|k>3d#s1zpMX`*Xe>jBK*Ucl!)w3j0mtu!76tv`<sC?+Lq!ZI
zM^Mpr$LMx27g$(GA5FxK40zrVk#+Zt9;A!i378k7-;#>9&w!Q(uJ-FQWkIIj!Ia(|
zih_S~_pf5}V(-t3C`hYRCs5nKGqm{`6fRKzsYKHN1xF(hoo|b|xy#?9^9!9lxm+wd
z_ur>Qo#cWIA$ImJXs>yqJ-xj-4Gj%>fZ!xKBO~M4YbCO_MO`zRJ^9Cv-v(ZLG_No*
zI|PM<=Cj0tUk22<A=?p`!3slzAh_R7y?VRB3ooG(;KQw7Yo%(vQv6>t1R)Savh(s8
z0YAu>_Ftk)EQ2-p?>Pjn2}=S`h5vqynEwC&<5u7|6&e~E<C~N9lgrD{_I45JIMSHt
z=xBlD!T(Ri2K2COnK;tkO5<*oRxei%4-axdL1Mt!YEIWU?<m!NTqXjoak)R;4LH;f
zzTW22*3nducj<4j>=$YSJB>s^aRp7+_rF|_5~z#HAMdZ5&#s1W-D7AVKof%s(D%>@
zD@pM2(+L@}rv3UQaqF1vBqr^X0jju;KYwsKJ3BoN>t>DWUcvrZZgQr(eg6udu|)6;
zYz=b&Q2K@_26U={hAM_w@Sz+q3xMBP&6Iu{I*(%yb6@d900S>DJRE_NipufoKsQ|Q
z`phrMeThA`&SqLo$eYu0)aAA{iMyP17)-%vpd*NZ4JWl+*B2@o4c8MNvL(E0QVwPT
zQokGHnH(vUdLRV50uxFN7!Os(-C@gBBS0Re1MYtwxNFaWX-5Z0!F0gTIx~DeYCfLp
ziNu))JJfkF6V5A(JoX3*3eL57o}Zn+Z~PSK>E%_eZRnfygWvTtc=B=9TtxMtP=i|Y
z>|`ES-xqdomA`ClH$gGPd<k_{6XKdO8NGdAcAS6dC2TeG2SbZY>Py_oU?O0qrVarD
zr}Q6h9fMxxXHO50%8K@<g`@`Ug2X-@y)vztT5I)JgoJ}Rxw-RTQ0Z<DCCvk4`m=Lj
zejN;D1Xc|6F>`~;)3Z?^YD+b!uw3<j7J3<v-e8QSf-Vvj7e{w~JYN$I?(zyetST@9
zsv1`P()L{V-2kcmAP5@M3>-t+fz~+KoyfK82!JXD#?8zE0s<mqtu2Pzgzhn>zrS<O
z1G&||lLK=zv&6f{WZHc8WT1MWN)z_wzX#s=1dvxGBxS|nJI$9L1u=1o!DZMX2S9Li
zYyFzX&M1Mp>fda|S94%>o~rcI6s!Ux%2AP##*mj~?6dv9{1gKdA+L*p=iAF!LrcZ)
zT#f_hTVIu{!MiK}4jW^t3HpJl{feWwlrJVD<q`2PcrrBs0T2t0Z)bmijWpU!rLhFv
z(SUE_j1E{pGX|?iHa0fS&V4SYwMS-WdHoO0Xf?nn$^T@TuMDJr^T3HZ{ki71g(*<@
zm~&c;ke_3a@Fxm^tvR|i78aHrXkV~0;z}8VdG!GB>!bccG&G@vsPOf`=(=yNwbgK&
z#66nI^a^Pj7>vL7pgZcHHq}kt@QYjecYL2C2t0tmWrD#I0L44fGQl%M(oJ?;>wv0$
z2c!$kuTVhOKL10+Z4&}sMyqYUz4b}ozwcwNdx4+PT_K|2zhfO4&wS?os<-f{1OaPn
zMlO4kaG?4J%dKJ}&JtfT`1{=w7(!c^^uK`qF(M{L%E{?WXeq{<p{#1D!GY{Mw{2K_
zeEfqTK<}mW^oW!)1ou=7!N69{m&dy}T7K<)b>O&tm_%ezL#V2%if&3i%mMBy$~WWa
z$`|ZPq`<7ow{?1cE+Huy(%qPR@yIyVXiI$lqIv-;x`|><CLd5-1zmp<FJ_WJf%N_5
zvfhS{AKsV$l`rL4*Xe11z(%J`0_-9#yjmsVEg*<UNI<y<tlX=7Zk<Z?8%DD;x(o+A
zU+S??2naNb!`ZTyIOd&PUG>pr`UHV7D3NUb0A_QKgR1^YuS*+Lf;U+`*Bc+f_jh!3
zEd1Yc6F`mD_>U0-Jp5PJ^S`~(ATRM0kRxQ-FV?^L_U`6t(P5(1+x?|bN11+uTQB(1
z4Gybezb&YaPr))__HCmt?<93Qf0;p9Znfepy15Ul@*j<U!^apv!5f1ePAZ2v^2e2y
z|I^!*1~qks(K14<TPYPH4dAqhP$Mk_kVZu4AjqHy)3FVqSZLXoX9Nln6p0mDMFO%(
zLu~`4A|Tr&l&wH1k)2dPwmd{MY|0|3s5lXXo@f2jAN||RB=hp;-aGGp_nh<Hne%-~
z0E2;<<;eAje%spF`YH$aBC3;$?1w#bsj<GkzFk+%{-q513tdN|bf!Y|lYc?Y^B6?q
zV?KAd+<-e;OSy(>j~yvuNI7h6{8*!QJ(x$fR)@30;;-6H%W@KO<DYk??B8nphW4r(
zG1jmbq|%mZkPLg*1>sq49;P>T7YTxL&n%_J&JGkOpv{AkkrC^vR~g%A=g#-6tg=kE
z(dip2NkLYY_Ib~+xVVPvGMuE|5)U)VNQvyF`no9JL<8+0&<4nh%P#EdW@TqxKt(@N
z(pqeD?1+<Y_qeFDVYqA4!uD>AKR9D3iU@_o;wi_@w8wwHp5alxIpyF1yG<wQHT$M|
zmiZ7Fc>m*RCd!tXR{*lZ$<a~0l)W3p<0sAgD&7aWE#8ydJvtg%ve6YKvtSERg+OzR
zzg<@Tc@@L{A$En4K9aQ6gcBZaei~fTamt(jBAUX(^S=VZKMVfkREWTDd+UbcU6ie2
z2tLM)JC1vsfAY&QIb;^+5ZRTrOUFBFVOA{LTCmOTizfgUiqW$(GmjE{#5u*>KQ@+G
z{EXv400~w0w+U++jmC3U`wP8{X48gXPPr_Eupw0yh1afS<Uh#(8d9ge6%s|}?-}Ug
z;&O8|)hpsDhc?a4j~Y`BjmN;WEg&z=REG{;G+>3FeK^*5Ww65Mu0ps_6*kO){h0h_
z-TK9TxR%>P2a1|0m5+R~#fCTEfv<4w`J;(;Pq>}*n7)ZO#Dj^6i7U3T)f*}rm*^B=
z`oyaOzO6YD{*-0WCP%XB85L!vw~uEU)|;o6oSGWg*Vm^iET)-x%d$;9rHDw5tLx@v
z_&SBA-Sfym%&zE}X@Gqo^C<SANa`i~cvTC)YwVcY>K>N@M8_R+?as)-rgE$kt4T{Z
zE(OfV(FTRYq$JizUUkXDm;@Acz}FLQ5`we{G}o0wPLPN%Ic`ZnKm66sHjE;HmCn+B
zO|<{CkX;f`8PpTVWHJfF>tqCMjQr}rKj~0SOzZG_AK$W8xG6o*qjaM7q|)0u=%zkz
zvO|lvx)QtexW~RSFYnzYC4a4+I5F0W7&10CmOOY6T+O{>^ZHpdr4l$fJ6EDN)bxFY
zirc8CDNAJhr=F8VBl}T>kR&-zv5%UXnykM+a|_+7L$O6@6U|tc_Zt$HncgL6Tn<n(
z2kaU>JMa}Q0vJ>EAM8Kmr~i&05R5y?@otDoX9ng{W++Q{clYVJx$cpg6Uy+GD#P(|
zvA;l!`!NYZ-#nrD52;itm*rR<UgjOXe2d-<XSz84#dD^nrY5^CGQc`^(H}Y6qEGIg
zFj|RM&4-rslu~#=OHV&rAOQFU@lECaaPO8LOrg703|FETQ6<#b{U!*EkCtSXJ*-I|
zv9AUd4gGUZOI<RJ31oV2R_wkgU47QHCQeIx3%kUDDT_l8r3XayjXpZ*lI`sf*fcGz
z=9QHdVPCMnLZO(yp=sYRF&pC4Jm^;!+-JDBF9Q3eijDbQbK$!dUB4B*#DB!9`Z<uD
q-KVeq6ePW@c222V*8lL>xwh`n0<qX%QnlkXd|aH|9LpWPJoh&PyeN(U
literal 0
HcmV?d00001
diff --git a/QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/docs/_static/api_tunnel_raster.png b/QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/docs/_static/api_tunnel_raster.png
new file mode 100644
index 0000000000000000000000000000000000000000..6e7dd443aea7b12d93d3a55e2ff0dc5327d3d96f
GIT binary patch
literal 34588
zcmbTe1yodR+qZAfsfctd(k0y;f`ou{Naq03-62SWLpMWrN~eT$!we}(58dT|kN0!m
z@AtjW`+V<Of0wT9qGs>e*LCglcU;FwxQdc2HU<gCg9i_=-^fX+K6vm5`1ddy4F&j!
z5h(l?IPg15YdNdgn>)K1Ihs9CG;(&ZwRg6)GNy7hb9Az@x8r2xXXRj~vUGNKa1vl+
z1O4*_toDu;Y*WPh)W8oxcaYO|dhh_(2=VV>k!YdSg9oAEZ=}T4-P7T1Udj6Jzf_2x
zw>g$FI<iQh1`xb?@)PeZeLf7+N+L*9dMc(f=lM38^<&1hPrWi?AY~*eJBg_VLY<J%
zg0nR=_sLLy_h1^amo!ftZIOG*@u)Q3+tpX@UZ5(*wQcGa$JL)#ygY0Z@u-s7(6bq7
znqB6u?c?o;i^!#aO&$D10<F3y-|ZY34e|fI3QKBQ#K)dKW64Jxsf}|(5)ntKw{@|2
zz%lq!IDsnS_=ICZLLPCXd8H$Vj`-$YDNF{$@l*2OKP2Iuww%7(l1syw$c>h+ZrVtO
z;2eeLRt~(O1Kt3$-55@pot-sDrSz`4+p`cYy}8M{{YmG#SKSZIf0MxcMSh{=eQBTx
z77h+n+akj(;gw>|(Rx2D5E;{Uso7<O42(Fj<)5ayK7qRSZ8HQcI;Omf4nc@lsc7C|
zOcV8MFW0W^D^SWHsq<S6K;27JQ>vy_0MFm7{Pu0R+DL=<K2xqU{Cz#=IxdcylCrQd
zk_O+(i)o1Q{`tbSkJw_>V@&u$uVuHQWv>BdR~sFTBY3k{3-6)4uUhi^eOIwtF=Kt+
zjmb72jQ$Kb-EUbB5Z50`@(zEYFNzd&eYy=+is`<|E&4W`!bvBvTUHzDTcJ@pak@Q~
z2b{-;8^jAupwp$R5T*&b*_{q5`@XikIh|6LH75|h-pX@1YHx3+Pa2YLTylk}*q-go
z#HC0J3kz55`kpUXyx^RoyqoyzZ`RV`SnZg|?zK-=BDg({@r!(e<1cyLR`(+n<_slR
ztH()MVIk_x>FMcwuJq>}<CD#?MworalF#xNCQY3ty#|ky4eW2`qv=*&2W^dKz?a3z
zQV^dq5Pa5PCJ6J5&K(#Yj=sML0h6auM%Xhx4{X;RYC3d>I9M}1DFt(iGc$%TZK-oa
zLWa)lzfVFAN3@&qgPHY1iRy+_1V5P-*)w1m7t0gnwQoCOSKwZ2bh|R_VOGn}%*>UH
zSK#-Rp;XHwLqpcxx0Bn}uDe~gLwnZJ6LTn|I(BSPo#Jzw^1K2r!Zy&2*$?=#-meIM
zJ~ZIFnXK>hDAq^1fYI>TV~Cujyp??B&Y4Nvv{DMELiw%Q-+sz=&72Vg?W#=X^4^>{
zs#!atvB#=_fP-A0FqLg%SB7K;XpD6!k@#UpYYv5uQS>>E61_#gz=pl2o^@}vwi@@n
z7&EL!fA%UkN>@yQP?fFYw&s25`!pVqj=ndv&gy(xP1z`GdD*~r1%`=x!G3yvt|OAw
zI6A6y@e$0dZESddoD}5lYP(#sZeS>6=CmfksD^Q1`--&B`Y<3u{xBeyP4@D&f&~eI
z>Y=nkmd&++v#+dE3%e<Ckl{4L<u}|8i%FD@@fTZ|aMeQvM(hsusi({+mK>(ztm`(i
zhG3MF_`${y{i*Q^qkRvh56f0cs|JTcU1U?~<KC)<sU};WIZ~A^Rz6X9>WzyTe)=eQ
zDUEz$d${;Rf^nuQmL^=BF+HKrx2L`*1b>9X*J%7l=K>Ca%~RHUZ%ibe;5CWvCbYqV
z6Y<EbegeeXB+8oa!0}U;>-~ulGqPHIU^{~r7x5y6K;{B_RtmwmW7PD1_m6L%cb9{)
zv9RVNi8-0mDztg-t_clse8bJxB;O4N8-m||n)zUcw`Psp9!sjM(808Id3uv^-EAi2
z9?h<icW}%Y#Z5*SLph4s--C-Y`mnCF>xe3p>8)pr_}rt8)_z;Gtl}==RfWnN;w4!<
z%}y;V?5;74k!N?0LN}igJbgMGevxSuxsRLK(=^ca4ddG?ai{b%mgWp3UUWOY)}sj3
zDu0)lAva2Ff+J@Zq96-e<o?fxWDXvOu3y>{9EeW&=U;e#j`Q4B9<Lg78b2h*n;>+E
zKbmq8GrVSA@1R|6c}O8F#O71k44bIuicG4=`%>pj&Fyh)I%N8~%dW{~cUD_dlkj|d
zX9t>d-b0?J&Zuo@Xt<<X3@0yCq1VcJ(hmBwiV{VGzb~9zwT@&8!@z8YBKV~<)(zfQ
zj=TH&eIiRsOD^z{VK9p>kFA&S`Q8F}=+{nkt@#LvZi_1%hg=r1>>7L33Dq}RPS6O#
z>!$WTy@;;jciNbLuc>dA#%td&r7XHMJS=iv9kXEI1vgUwGjnj(j`^O~p6|PLz$(7}
zzz|#uezphJwX2q;@aS#7gWKbhJN1NOH@L!eyw*YphxcZr;}=TpbDNu+%kuJi2w3$j
zKNGOjgg>Lx@$zcPa2n;GU0RBgaQd_2^VNA%yG*{JTTozYGbPk_jypR)hvtM)SSuv4
zlH(;->bEqEZmt#OMc1U+w=b}^9!lK&AndTbIq2wE^1XpeQmC4ni{5Q3hY=W?o6}`^
z*QBKAdmnvs9i&Z4PFeV(X<)VO3?*RJ`tZ$oVq+}Je$LSE4#&`sRlip6`Yhj;f&7)F
z(>6P`Zm1Rsmny@ei=<~!T)k9L%Ew*HbdE`UzB7fQuw#QP&EGS&8MykKpI9t8AM7VS
z(*G7bLmD_gn^%Zbt<%FPrt>iK8Oh^QX_n{PQQ2(B?<Cjomp!;GiYjTk*o421+T@Vy
zvX3zcQ4BK-7HkF0WQXUH`{z^3!lO9}CQu%dC0&rQvwEVe-aM+eJ7w<iAU%`m$q0(p
zOyOhw^sAMm_@&c0pTQ(sz-3sSI-l>8ipgKOV2m;G6Q%wW>*8)A>u$2@iCH-ajrwVL
zK)}P@t*xpK1JBT3eIOG*6`V#aTNH(0ma2qGEu6XXU&chGT}mQOS~OL60b_U%L1^i-
z=*#V<;hnIv^+uD@$AyZIY)AUx*VC+n1ozb@f#aT9auCvu2b-J$8Av*;9}Kfxq$0{*
zIP9<LR$`q<Imw<Vbx37b!e+CvaD{z90_D#RTg5&|uU5&ia~k~gV0qf=it!b)Vw14?
zIfqsv8tMUh)ZK21E`}Mrn7Y|*^TzZ!hvP5^eJ%6Z%H@msC{5{Iq!lF*XnnunePHbS
z3@}<$we`pG%-cdX9Y4R0`o_jE^3+Ic_<t)L24t;~j<>BdWEe4ZK9^1Dmb@)~b_x!h
zE6QK78XwN?qYXb$OK5}K>M$Pg%Q?-MX5emfrBkRI#JqsjA+w@LZ1-iQ?F~so(F(yB
z^~$41d5!oGxvhYg!qga|>C397$MRXS7M`PUUSxsPzMHt?oz~S2nb`feKUsdAE85gF
zCaT>8SE8vX{JO#Es;+m(SzOl1hIAk06@+ih7ls+Hv{ez`h<LO?vJY5`;wDM|Te<TL
zaxO!aR-xmXHf=z$hdY25pysc_gVL~O(i~&Ji&{)k*!F<jMxFU7)rQhTRY9oEz5<9=
zURgZSx@khg?CqJDfYoBNL(;;A)fwg7CuR=3VXt^qfn*UW(nmGX{vO8!e!ZR^25Ct4
z)=c6HL?sGxCwnzg*@@(!I67i6Z_LLHQrTYOR&@5)Lmoo%V@5l}7X1FjujP}XNlE*7
zK(6|f1xH&g)B{Vr9=BYq_TfaSg7OUUQo$4t>(sK_k5v7&%8Ns`qW)947bjzl<XCK-
z!OEztftvkzK)eM{izYUW3;ap^PEB&SIP4gP$t8%wTF*W!1yNQhU7uFu*4>m$rI=*x
z^yn8pb9@4;v(Q``vo#Udcw{8Fqwq^+ATy9lq)Z$`vS{XE22})EYx7Gy-Ep6nAoM8g
zS3@n_8Ff@eVclu!HkT8+G<`M+55`Zzp>?lxY253j>&i3Aj9Ra0rqx5McM`|R1#3S(
z(=!aTsN|5jfO)i)X`b8}9PL!y3ebJZp$)99+{67-&o1-*U7Y??;nGA+qx~dN=oLHu
z(h7;lP8k$$dA(I&y_)duMTSIPJDQLG4=;r#pZs`t6_2}|_(Tz_hEY@#r3_r_iq%}y
z&qlQ<Q9-(CC|Qn)wb}JimHC)AigAr#<(ps;LoJM6VkdBER}F_<8(6dF*VKFtn9))S
zV&;89(S@ztb@B9uir>Tzo-k&Eeitc+E9vBaO(Vc!nUAs78Y{#S=UR5uT6E?FF3CAc
zp!lxM(+B7MH7j!UeY_V$_t%Z;wF~^WdVEqYs`I-GCv$Bz`{_w<wQeBKx+8>YV@A@f
z%f3Vva_tq{i0hqC)u{i`IxC&~z;b)Z)}Fy_M9dy8Vu8)yI2u-mk}qymGiuRY`>Qz%
zbvYh)Z2No|LwS&6<txqP>z74KVJ^6BzB2jzC!X+FN+J(-IF>y_B?V)6qk8VOm(m^1
zHj)kd!y?pU4+Y3->(gtBxOOyal1Zj8@5`%N)ytL#;w<lb$hf?2^GS30KYG6ZRvyG_
zYdBdWU~_@&MD?!=+Yk8r!rociBQeg@NyGA?nO+c1OEs3R(hu(6QYdwCj6osn;DA$!
z=f+XR&lqtfwnY{<_Uo|y8<%?$3D8Xjulv}1eki-a^G_3<yqsZ_2E{iXPMVtI1t?jT
z_Rv|7bU@|3&vsAZ9M6MEQBz6(ewa2G%^)3&W=`?@@dGD55#7giQVzPpk%6?2Aj#<r
z?^)yULdWs^C#w?#x?RUA!`8pmiCUgtR;z!W!V9!}QGk)AC;!U)TIC$|Pe^J(|F>`?
z_k#OTinD17=y=jpQso7<60Key*ns$1?{`SGc%)-zJ&)XVbn)~>9?P;iO~D`-ZMpo^
zU>9jx@*Qi|shB}VOe0yuTsKwtDC*FV*ot?>{^saRS|Cp)*=y>(Fp}!SL^~#obUHqY
z;b-8pkKnmC{Pk7_@B~4bxwpD^ZT*~{C^90bIxqRoRGwNXj=$<EwvsmvUll?1mFv-Z
z4xQMX)ol-{Aa3_#gojXpy+rm%yp-D3-6&Q-W8zMMW)0rgw3F)bZ=Z+|RKxMBh7~a<
z{%sZfJ2@iemFa8lAyWh8?*&Zx+=o{_QuEPVd`7jlhV+&LWtB1SI;@lX8h7~UDOXvZ
zs-a63#ZbdYzKT@FBx+6t8N64j#6N#~oH18^A`T}?Zxo&$m2SH3lD=}NTAvN!EqeV*
zs2FA+(I-EK?0L$^ZDEk{Y@6-FvKoDE_KhTz#FJ{U1B1)fnZ+(9j~!pHc4`>)Ol5hJ
zx2Vz@Sm@_8(KiR@2t`jUvp1(Cjl!ut3tG)0g`8qdZ=X2DtnA{3m>Hz6cmVI*iCd`m
zUs>2y?Vk*+>h&U4L6arH_wLS^*x+t%pu*qaNYy&V_-hEIF?R7YPwZ4mG?VQlYGiTg
z@wM%u$h_UdZ>{I3^P~Ec!Ny8ALGRuui>HFTwWQm@L7QdcvCyH=e&wVdjye#|&=Uv~
z*F&QfYu(Ey(~iIhv}ec|NK4J0CWe%?Za+WJaIB=2!266m?59qedZ{`V&is`Ax$H$;
zcGF422{@|jRQ-{{1ACH~@7v@20??lM(029>hKyR$=q%L*Edx}Aj^M(xe$^KZR<xck
z{!`e`k0S|q+ibo7+QY3$QAt!O4&8mnNUP>zo!_cEN_r;dJEB6Am+ok%K*V$!!ch~P
z?UdM`uup5-Pk^#~Ol!1a3Q<liJt>aHy`#^yb)T4dWSLJ=_oiM*$c=U$Cx(P$TvL2S
z&yeF2q+~596gKj16WNg8j$CJc#zt^$mUiOJ7FoV{*K4*TmZv23v_)aL9PTVntE3{G
zKDVmj{$eGSbbYYwaj{c+colBQ6PkIo)2kwt>T4!BKgWsMvUa)c^&Et^2r;DEsFI46
z`9mp;dBy)bop@%IFGH17JiDD+v-;x8L$)-=-T~AC84|K_#T=QUoQxJz49K$2G0wTq
zqnaQiX3;03=sTsWWWPSD$G@;mlEMuU;7WFDj>(TH_7}y^XoR9Ht7iL^)XiLsB+8}9
z7)TzSeX#Rmp6s?|K(5~FoULNBtdOI`tN+#Qs)f;0s41!V?3-n)JI+`0MuVZ8wOkV;
z5HX!n2gB);M^EK*Yd9zjAx0I*CcvW+o?I&x(KxKmLWsh78uFRq9d@;O%!+OWeb?n1
zTxnW2RcD_fpJVG{GN(C-)4wkF|9~>ZZBGaCt-%W$`o=h_uD{+Am5O;*$W(GJfze(R
zS`0XL>f41H*I~}W<~$6VMdY=A@rb89qYsn#%~cc`0=i6mbW(u9kb%@++7Pl?PLQqN
zmDb>_m&O~lUGLY~?(p%{R_%(wey5CV`CwXOfN)9!M1yN3E;rROWygnVu=`-^^Y%z+
z4WT=8O~auM&1Kn(`Bz;j5k1cFQ+QoII3@PKT4NGj0~en{9x%NBq!aPcq<b9%C8MZ3
zA{(I)9l+<4URpdd0gn)y>>^ng;&J@7s?z?CtLhcXO^_qY^y{xIPhaOpWwY!lEvcKE
zM&Vn7TH%WvHTs7jdr-qD-FuwPwnJ4~Tg@Zd2^*8{7&&bD=0pKWY^50^qYr%-LHPtJ
zD7*m^RW4!*NYIZl5NDYjZ_J0Dd6p(xJAEbX>yVm5?v%6b(s8_p=ShVF`vJ~sMzUx;
z3wQyi3WqAv*(q;K!^KF*rup9q7DfXP_6I9dmn4t4gzE>%*F3~uJa=`D2I}alguWO7
zx;m-sb$&Q*3G8>%%zrMuh@VGIyUgiZBpLcPA(9n!7@6^$fmiuR3a7>VIRJ;!e6|$~
zYb-K7`p#GU{8~;Y72ucaF_hOg^bvbMKC?CWT_yQdx3`OU&9y9>{XSLxZ3;xM-zsT7
z=L`M!m;Iu%<ZgrUw60yqgnQ%lo0Hr_5JTm!1k~bb$inIbt&ox@rE!$l*7@BkS~Q_h
zmBA<0sMRki)JJ9|JzPZgRjG{V-=o~YvbtZ><ySIN@Nq=e2e~q1Iz7nhc6Nt;sJJ~*
z;;5vE*w=RN1Pbh*!u?82E03D<p&E=fk~%b>0(|kfH7Qu))Nn&|cqb$I6ndrdKjt*O
z$k3y)XYh1*=FUXRM`0DN(u3q#qa)I~vOsp3`ko|21pWI)Y^)_+)QUb0ipY@qa)d7-
z7Y?DqOkFIvBd+;uRu?ppEA4vpjSyDpcV{E`Ggi{}{`RWD_s-Mycjsf=d4|GtV@yKU
zI$27eX(gc}DZ!)OXYiwbN=j>|1+%0D?m0aZ1Wqj1s_q78o&^G#b#;06v{!onVmb%j
zRh&Ei&2%Rn0S!b1Zf&x>lGsUGxh=@}*hlPoy<G?kK&7xm{D3HO!P)kUwgaP^(#m#d
zwBSD9&F!YBJ&@;XDt*sNT`$+dV2$l(ESz3vplL*aCp2)+@i`2ltaEE!CqECOyzMk_
zUqf!WJBRH?a~pLd?e6T5Tyxqje$~L$M4$kB8lC3Ye<430{4ej)y)6VSw|dM@O$GUQ
zdV20a(^5vVME#2H04xA%Yin}>2?z+-?k_fVadh0DRl)$;x>wbMQ#-`gvB>zvf%Mh}
z|FbkH5mC|23q;XeEv!=#=Xv!jsa&TVz+O{3Kc)&4YYQ_yF>V0lWqh-|yqweF$HJpW
z3NQxm4bDGT)EoW`4!i?Z-#!z<KC`u3uH0_$9<>4>qMFU`YDiott60a5l(HD~`?rm$
z7+c&!VRe$@ZmV(0I3Fxe1%7LI9OcuQQ4(x>1`^3B7ZD{mt_Rt>D29?^8E7hc>2Lhr
zhE^}fC#7{Eg#*E6zx3`6^PirqWL?&uxB9B>J(RrWEp+YCJ&C^NX~D@%D8i3evJP6c
zk|xQqZHs;-?a9<kXz-i0tYfphe)BBt5#H4c+O5y`av}#z*R9!LG-t4TD}z^XzgLdI
ze&89Z)$Q__zowz|B>(2+f<0q9&gTt(8+g=W!IxGeY<@x(9j?>gD@W08S^)f0_B~E$
zFdf8W!p9K50j_=SjF^b1ikQ<p@_Ri70^3~VLyFr56X<kbB~$~rXy)5oxvqu2zW#h+
zX{k*M-0<cgnrvzqadR|^)%Q{?GP^q1@G)iq%6RcN_c@JH2VQBR)&h3?YY4%xxj1We
z%FTz8*ct%_OnT$&=Jw|^PFXjLDz*zXW&o)HnVaA2w^X{gxGW&PX<QPQyH<0B0x`Hn
z0PuqA#ZszKUgInPQY%zi%Hc3o;~ug*$z;#MF<eq@u2jXID>8HE9s{Gb<12hf5UX5W
zV&JgceB07A6=tV^WG!1AH?)zQBAsa5T^7wo8=uQ^dnoS*y#wINiQjYR%ifF|sgvji
zqEY88Sa+vpL69oM(&S+lrIO~$Dyc)TeOH|fk-Ta*E&Wr;ZBh9Pel`F4<HOX6xKV{|
z$r`CoRQ(cjVXF=INDNH!6R+eL3eu<geW)+$WH$%q-aR6J0J&i|+pK*fM*2wp%LJ#G
zm5{{(QKRCcrM^%FV$e+xxbPgYH&B@2no9n$_bHFXC|S!+NvZA0#t34frll<Oi=1=7
zY%1GqfmP7l{Cr`|cXs)1-wpO$Q_qMl-63$vafs!7;6==QW5*o`n5UTMz<Zm1w=R00
z2k-cO-*C`=15Ii_rA-s@xgIwzFD&fWDAO`J@Hy}TbqAvZ^U!27)2reRzH(m<uSWe@
z5b|ehW&Ai~`VC!%DO=lVyuR~<^ehZ!6Gq`##G>EqEXUjqkT?bV6SnreXo2r`?N{b4
zhuxU)&xW_Th?jJ|fj7d$QOUWcH*QbH8b{K2VZd0i^6~L;J)Mw+O+pmP%i-^7?Q>MB
zbnTkHu{Qn0V<Pzc=R}(}Gj$6C{$NNsdB$$HY2yzcI)MdYPjX19aq;V|inkg+W!;h%
z&bM7%g&Ze1SarTp9b>NMi}B@7i$>tw8RYsRWn1-9o<~2JsQxh>9ILlTpJbUwZRIV4
z_w*&%cm<Xqg+di)JoHPBKDz6inBZc_V}?i8gaLURkaNp>ccnaXJ5D{U%|XGeSa9c6
zuq&6cjML)Qv29;5aSc~a`!tTLt@J$3K8rqPeGvZRbI9Tw$@aiWr{q_8&NO5zY0$ir
zN&Z8f53;WsPayOk!wOH_=acj{YFGC&Azbxp#(RozZjr_}s$R|@E{${qkV+S{ChW6r
zx`Y=ANU>;AmL{UYyR!66@9ysMa@~A;_MtWeP0rtrVM2)>m;M{8pQ{r?YaZl7y4gq~
z;@<n3gcD8H1}`n9l35te8eJK;Bmxncdzr|}0i}mcxNPx>nsOfj%8Luq_R5p1kJd|i
zX3CM=7H>9|$Q2w$$ZTBD2`#P&;;FhWG+t5O_l%YjM=V}5+P@*RUr5d{LHEa`WadDE
z|A1O_3V(jpDV!%wu_Swqin%0PNGpM{L0+$}g!$MT%z@JXx#71{>AMNzKgji;O}77w
zW8hCdAF|KWCMgT0ITo_aiqMiramG+-4s3&nrOy>Pb>T6;ab|mx_nPbHZon_=0lxu{
z5%llr*=})jr9;~xrVe9rV;n{xKJCZ$4_SgsrLgM5E5m3gUr(~cHWV$Savq;{<B8-e
zID)U&RA0B(aHx+4p2NpE{XOZ!#K^c`{z+Gko<addeAqM8tq@-tytmH`D2rb%t8Vd1
znR~Do=7&L*gy)`GrCS`UIEuKPUWNCCTrhu+Mz0Lw;Z|YDh<7U66908umc3zZx-@N>
z^y%N@<sZmaqT@=ceC_?pJ0qn$bSgPW^|iJ;c2-ED3bLxRmHY*Ff!d;(dbewOMZkK~
z(0H%?W(@z7no4_c+ei9(!cg{&MH<ny-)G3x_dayU9Lm=-Ha03j%KTrnSG_hA)<1f(
z`j+6UX^c)kEifAQdOZ1Dod;#=4Lb8v2m1z-&q5pg03dKyYK|E}nG9sG*NM%BUneS^
z=#Z-zdfK&F2~{@Y7o?Jo1{iv_e|(4W1VlrXAw&D!y6I44wlm^k2dV$?ti%4H$wr+h
znytOq>q+^4FWUdkDhOC`<vfG2J$KUd%{duHdlMw&{wOh9e-ISTUeoY0_w{Qf_%pEe
z#~sTmw*2)bvdGF|1w4QeNMYIdeb^OTpo}HJj=wK9zP$BM$8oFTjb?dsMc|Dh2bQXd
zm>5rw3+*j^FF&=ql{sPY-HLA9Q~^mqcKUKJK<2wXP3Y-+ck&jMD}s_=C}tp<B5c_)
zb&MTx=mv{X<c_%NolIaRr8k(|N!dw)2g!kXQvUczE=$f8Lx~B6v<W9OMceGHJ7sYw
zg^#isD!Ge<toXgA+x>)a24eB+B}M(46a2Hoj0l~2&E`#@<7NIQzkiDJeo?$?h0trD
zM9HG~<de*H<;MZJ=w%XBTa=n^(7lQh6J_HDhBLo!l*%n0NB-T>HNA&IzVp3^w=YjC
zi?{EiG~z}XEaNxdktWh(m0pBzV4bRHg`#9)o<7VaTB2lBd@S&?u@Qgbtvy5cHm`JZ
zHCp?MTu@J@cAiT6x6+va{)#B<yHZu;%jcJi&FnIBSWdCI9?^oR?@QW#P1ncqjNB|p
z9u!<&GfvjT^MDJ`Sr;PU4)#uG)z((dNj(1^uBVsL@Kw#2Y)=SkVsQ$~&^T(O=mTgU
zefcyfv0}}wcTzw)>H6NndW`XCsO#%g;G1hzk}>U_K2WvTT;R3{U#8%Uct0jC-#M<2
zxNXnF1ld*s3Q<T$Yw^gTJJ|_jiALUyNASIT16AVe;d1RuFj``Gk257iN(SJ<(@eTF
zm#Sg539D}<X{)6ivL1`(SI2}gbb4PdWsGiiyXrQCZVrffWST=I+&9sua*gPbH+z}c
z_1G2`vd=<m^D!GS#{zt+6Nd--t^XHppx12O1ah3yE({T;FxDQ|`6-6`C1lZy__~1f
z^gZ{ucC2}*vzjg2gVaaknmMe+0O9gw`O;Xawi&c}Xl)~h`IsaEV-e=){<ZJpxYk5O
zw~foH-6qrSl=BGjFb8-o$LnDhLnBH^LsQRVrE6aM1)^C^ZZh1)3Bhkv%Xl2wmDbI)
zfto!V%yHcpVax*FPAV`bdH2?pO6;5FdUp;Gbt(uw;JSppm&365#jKu(i<*&UgOYzT
z*I!yg3*G;mEu9xIV9dOj+v6tra<s<j&Bb`u72Qbo#J2^E*v*OfR#~lPCaue2KZVz4
zU@wosfm$@evC5m05a}xQ@LDpgS)m7Qy}gAJannPnbE011-*-POq*t-+rl)(-H&%=k
z^Ggb=&kyV4yb7Qs%6u_+<UlnO`s#F8g4ZIP2pFzoym14%-?x#aJ*lSoX%E3PAVY!>
z@9MFqFhi#BMgptBD(25>J)!MZqj(&L3q1!qVdqwtTGqWh<x=+lUF1lFk_PCN0MqRJ
z!^Q{ESKp3f_lG1Ih=HvHJPy<FSgS2v7rQPx-N$b)fSsQCnG9p6B&r;u1=dT(C^`k@
zt4XOiCrlo2RDe^R@Em1>V1B#p+xV-u;72bNqS&P>@7**?rZbfC(jWL#(9;H*8T`<t
z;VSTBj|vlcp^niDaQu{6YI<5JTJP5Fm-h19;tTlKzP<RXmmiI4qtaH%Mn8@(@}7el
zXptZs8Q>?k+OFVFUHBi|ze)jnNc}-Wp#N?3l>npfcm$-<l7|K@1h^9lu=yk{hgAzM
z5r2V9fSxb9R>NV0rqKIAaHU~S3L?J<MjM&AidDj@S4Ka5Uxe*n!?93)CaQU|wsz;V
z$&8-Z8_``FmTPkazUy>kA7#17w|Mg*!{5wg(UT=C^mBAbz1f4pbB0GF+8Cps%}k20
zaCL}!nNwab9<`dOt@_Gpy+UO*Q<Wv!r9=Y|s+jwR8DUMZ7z?o;rp=xAFSB^7;#~Os
zqV@m#84#kr0Bso5CsZ>ECprgXoXqBjeGjrwk2dC}XPb(RQBGiepkT?@22ruc=aE#V
zsnjSOTvpA?J^8qsBW5q5^SGHZn>gjvy?TGs<$yW(ZgKs%&wK1af4YJGlO9L<E#Bvu
zbA}rs-gB!)A3d>&w}>VZ=n5L~lb(MBM?Fm4XPMcHXDBi{xiW83c*H-HF2!GXUYz2z
zO5um+qfKNioOnPiR>@eok~k-e(N;nt-^(ZZctqmg2HrpPluPx+_|^+)Px|9XMpG&c
z0C0}$<uu}Nu{mPHzpoleEUR*#svOU(^pL!JQ^&1z7q1%@;`1ixu}_--<?%@Ft%$r%
zdZv^^^zC&Nc9cXE{_<y}cD*+n8Jp-(_{))$Ib2)yR>+S)8NvJ%Y7Q)axc9xv7O=xN
zEWgSUQorHtBKs~a^z68sUoHl~?$)}EDAn^$RiC|Vswps_Id>__X`#MqMQJ2WicJ4=
z`H@tjWtZ0Y8JYemCsD{$GIC2GGx!twl#hqp#IF*gl|FR?0^4Vd#ByO`%(*oWOlkeC
zlB;ZTiF9}_p-m=lCe<$GVJ-SADX((1dOV!cx?laOHX7C!@76U4+vo-PJ%GEamP`vD
z>`zB>vdHPy3inI0B^-XRBp2UwE;zd7K_69D$5TMM;7`@#34to^VVR79!hNFq_${w5
z6SO2clh6<>%~JhQgb3k2K2@EKt&G#;{{RO6&l-cjRNI$yD9D>}nk$Z0g4D7&V%wn^
zNP6sA$O=f~qR&Yi?##P(s2(?<+lD`AW`OEM(`v;hJ`Es(H=snJZgY+A_;V?SJBuh~
zBx{oTL*(U1Rs2?7-SI41FTu#|23>7>@e(JCyLjK2EQGF&iR-RxU#FJxfBvxi2D6*s
z@i<Oh6tHb#u#nsr&r#X%aVKZ|;IT7Xe%LX%UEJsWBL$>Mqa1GWM=VdZ>G(urCX$8p
zsM2}%$ztur;*Y#oo|65F7{)qNxU@zY>QYG|ETs7UPG07p9hkhD*yjD_UE3_5^Xi5M
z9>BD!5I!B3gn|5EpvDEj%qlN0AHfm1{BQ&0K8=eDz}}K3)Hn6oZz_x;=IjHcFpG|x
zrGp))?R-_2lJJ?jjlDfW^3nb3kOP7u!P5V1EE-P&X|B9+*&1O<0KjA3_ion^h9Gqa
zaCEjiXL5r|;ohml{|g`SjR?KV^+z}zG@LHeGDh_NQYCGOwPm=XX@jI?EtJ&uTf}o7
zyG1^P!-kE6gHz9cHmwE+zP8G22)vNtwrtgL`-=@e%sFOz=730(N3Up}8y(kr3<L7p
z^3|vt^bb+u1hf(!lRhj#095S-VzQz^vz#a20J4{P%gLx<m@(jf<dXwJo@);_uNJ;E
zkI%KU;6dxjp5Oi0Z!2?iARqC7pj<6SeWdW83CayKrJ8@J7Ov=R6(UKSn>RRbs|wy<
zuET*)S-U+|h`P!0FJ+A4FYGaoODR0xr{pfI-BC?ot-_-L3)J%C<~rT34E8}~G+K#z
z0#nBs3cyO-F-cP}O6zi@Hy~yXAt{sRz<)U{Po+v90L~-on}o2(C|18^5RxV_PNAv8
zG_&+>b-eu40((x40#`K~FZ|N2MPgix;r{RowT9Iere}El@0Fj2={Z>Ts2kCMSavbS
zF@iqAG5qYzrD6RFi|$pj2`A@QQ52tqy3d_-qa?<QD9%dL(WffYIC634n7vH%I6iyX
z<l8efRINelIXojCEHaw|fwN4zLI;$FXgA;<+;<VqT2cLZO+EZaBXm)v3+sih?{It@
ze`b?MCP8N$*AC+Pv>-y3xc7TBy9Wo2=jZ3yKDAccq{XVmrc9a@b%1f#=G*NIMT{@N
z>6<SE{#3N3EZkn5gh55`PNx7IpgUIpxHlW48G_RV08|hV6bvJHXKoIFi&_BHFlm%^
zp0H}y^a9~M^nN&*<Hd6JpRrJo1Hmi?VDUo9Oo?I|PdTdya2I#s@NXgj{DXmhL;Yl}
zIbC+9n>)tLYk5BY=rtN^aX&H!PLuNbWUqEiK$Za*)1P>mYD6#XF+u{LV;EU8CzZ^8
z`9xj%IN}{ciiE)1;^$Ncs=-<W*E~8jiA7RxS@f7{X#<^x*jU<RyYO;k7LZE<#o*(i
zo!afa#Ch;xK2)s|B!jhtGbHf4%EEENK6!GZ$cBNFMe&uFzsxLmJEjBz<+B{L!9ZbV
zQS7-`vR^0FiLcZe|7sbuoo5{G4-{QI=t|t-Ew)(NkH%YpX+QAFzhNrDMa&{uCStY&
zE5jsk4rZ!=R>=Jjy3Pl}+q#L0mK_t)&TP$r<GxbPv`u;2H(Rc&Nod$;mjQq<qpXUG
z3V4GbyyHc^6@INI<8xS*QBT$8bHpCQ{5ycDe&0Od@jAEFZTG%XDbpxLkhAiZmOp@P
zuAY}ux50Kn<;Le?X%3L2cA!{*^%n7*DHICuH(f)+ta803$D$G8i$#-qoe|(3!s?C?
zy33Cd#UV8>#40hRBsdby_X91B(;`~mW#&C%UJ3#?eq?yhgz_dCUO#7mK#823H-H^$
zbKrZ?0*_#-sCuTv2dHMh2)usA$?m~c?i*6tQYEeyH$^OdU&j3YBUQm$4%*KlY(9ep
z%2{@FneMqMDI=-eLkRXPxE{&57fNbZ<=A9vk>%5n;e9;#)kOJ^$&15cD3<{&5a*K$
zY=723V7Rz$<%B^2oD|mk!)C6c{*>ox@BcrLa)J4$*)<Q2irm-=ZX}x^)KtLc-AlEp
zSXkQ~gD`?uWO(D8z@I+$i&Z8DA=y(nt6e#_sZb~3#27x}c>E<EFe$#y%xfOgNGz$(
z&*<BQ7+2K_#ch1oo<yQWKYSBW#T>4D)1y;zO=N}q>bJSm6R&&W^;LoHo~awFOhJ2M
z3O)n8kr{f+(JCx#AwsQ<5M%WUlv5^#aVF`gxlNYxz-yLC+N(X>CzFzK^Vp|6PrW;u
zhWfHYS;EhYo6OX5(R1KY0cN?Sw!@<&qSklmP_9jj7}l8YeeP%PqdIi9Z;HOuEy`NE
znf(i?^>=urMZx-HtsnU0BMO~j`Ace2|Mtgb$6$<*!>DCd(k@wRCx$XqZY`XU-EXR2
z@#qPAw4|0*fgMT4pcwV1fTtm|EG;;s`yHNw#Bm(iO>{-U-wGKZEf%2mcD1AqIoVEk
z1AxQWn_E|_Lw5;7*3-0O4;OAv-jo!Ge7mciJ;UDaAvn<YO)CUI<6Feizo{Iq6`R@s
zA>^z?!tdp&#_<(>Q`;B+tqYqTDwcxBl*LHv7oIjAZO!THF%BYwm=V#azg4>1pV(~a
zGT=fV53%~1T>fQzx5oYBfFA?dU52t)$U4irxtM1l9N%V*g+9MW>#6YqiqCr-?|eDj
zFQJ;htp)@O#W&Syqwu$L(mh{9=2$4)wwKL(yruwLq4nweY}WpqoB=G`5X^^B_=DOX
z^nMa1+TJd==a*ZRZwyDeSS0TpdR}CYJ@;tf7fQyHOC1jy+T{&dRuv)F_|D17+1MWk
z)BV1i^7HWEHRszT5@EG1MS_#-_{f#ra%oD>Y00bBdR2#Iw2ByLoWpbB;Vm7KF^=zn
zv~6*Jc<6u0?Fi?@QKJ@g@%0@EuA1w+ubk0vTq<%@4(lZQPu%ymJbKM+-XS_iIy9X&
zhKo4Lu#u$(6zAwF@`4ONi@H?vUv}bC*!)m39LJLl>OB1Jjip{RFTfw^0mogm(jZA{
zAs<Po{2AF89K#DIn17P2jiJynzM9VPDvVYFY4g->sJ||I?$tvlcxMHW$?|P6AV*vG
z<0oiy@%w0QQ8PTJ;w#rD?eCbW2f7~^uBnj3OpYb1mK`X}&HisRNxi;Z3JXnO052yN
z!$mEqScUif1E2TQ*rV%OGzB7H<j+Wx8t=4IU-wRC$I0g~RZrnPtW$o&{B%)(u8~$E
z(COv)l|wjr|ExE(1Q#|*cjv11#A`qK$VhWC=gO5KPhS!{^WkL?R-TjNPR?R8&w+-^
zSMx%bz(%sjl~-MAuU`V{+7qQ5m*6R2zf|R`5BYw|N=2s)x)|jm60K@$f8Opck_Bj7
z&SMYPRaOCQnkg<cs$xNx<`sR`bBdBL|9O)X;iuIUm;7p&P>iK0vCTGg1b-qvy;c-2
zo3M}Y&L<ffNKP@!SXTXo@g<7dp5bu$Xs19-Q=*wL*|?*fQT$E9#KhI*DNht|5+a=2
zBj2j@@vZa6DI@X;>?m0xzGcy!QcI4dC8u(7HlCvkXUHW77$}Y&lSe`Em{0IlbTNcI
zf%&Dy^GZCNsJRKr%BCndMl)%Bq5#`V$Z!Fll~&SewNnr!bu?q6{JA0SHv^B;3^LHg
zrbZs`U*O??=%*klembCKN(`(Y7}oG#V#z`9bSPcf5-P>J5ERN{Rg^lNnJUA<a!BB{
z*Ng)^s+nODIomgUXF^=?*z_3M=H8Yae<?{japiyT^y-Rhhp`pP7*8MRMcukQ;>GWi
zy4bGgEVOy&x&v+Xq>uSCy^6wU;J8*Ua!Eg?1-Q>aWo;IH^-Fjj3KK_FDwMIkx<JG|
zyC}+}_7snjxZ`gYDa>RQcC~enP)yss@#t4}-!!H3u*nGx->FsAmzlmPp3VFN`|SQ{
z8u>G?ic^0zc<81D-IbfVtSYUGGo;WY#;>i<7%C7LbZiXnJZPxd$ks<Ucu{C2$f!-O
zQi2JaC_StqPNGFONqpsa@eMy4z?`)pLV7s99%f=t&M~?(+qpXpGij|=AJW%`LkD0}
zYBODhgvf1C?Nx-T1bdd{^R<RIXf2*YLmyh|IE82C=WJ;IqMb-%nJ~PE3cc?Avp;JX
zl06}8RPGK8(!2Fi^LZ~Kx%1Cc4SDFgF5BjQkc$=^0jXJsnTsN(BJY1uB}w48$5qeW
zpSY-*`mNSV(fi+tQ<Lu$U|_qVhUmE8;%#vpe}Jd}N-tUO_v|zp1ti9D30h-5f>0Iv
zAd;jia<Iso+@9|CBNq|N41ZVLC|cuHt>qeyZ->Mu)}sKku!|z<T}>MV3^u{~HlQ$C
zBDR~0sT?tGQ<TJtIjEC5oU~Oy>b6So*IgOJ>jYh}V}Q}}scEs*x{gXOqJ(^fQ1vKw
za<cX7?y_{Fmj6=+&mTu7ErPjGvAf>X==h6w{`YL^4;>5^3@Og@tguy3JY<qh$-Y?p
z5S)w0p}nOWFiFI4NFz?kz(_11B8KiA(JDY0@ALIcC2>eO_e31jIY4V%B!&D%mReZi
zhO)=${9yOw>bP&w33cp&^}I^jb7d#<hR4mdQcedmbzHqgLTJ}Fy+Ze;89nA&lcAZ~
z0(yZp99z8H7|ZhePA}=xj1O;r?z&XHW0>aHKVC1iAeEP{UdHtv7?6#)Eg%^UptaQb
z^lw*3U(fr<s?-p)K~1Mxpib7hS-?dBxfu}1!8ZPek`_!ePm=ihL%0ei>|Jx^*4qoS
zY-j1`&>2SbNuR{jj|Ip}R&-De*xn?Y!Oi2adP$_p;bO`p2K2FoYIBn(yEiB2Pb=4F
zYyz|bPp#tPIhWNLOf};n3dLo(!@@9z@t(OuV#k8balC+vo)(r2Rab=3yFg@rMfw&K
zkVyPhWs^@_3OZN4@GI?&E$(s*^avXkX8Kov+j+e>xtrB@QX&=kXIA}}A^Fc^7*IdO
zM84GA@?06s$6E6<KYeD%8*+{s?K;h-z)|&PKv1DqJ^SZd;!~C9<7|*OywbWR?{4sw
zWfS>iu49p|$zuz(F*YAW&m~{DfrWD>*|<X08NB<lb>donMjPJztoO@ak7FIYDZ2z7
z3C<QpcRA|;A#&^=CS%<d#=mlN;^+C<hv7b7c*(Vd7r-U#Oxbo#+YL){=6g?6rD@1j
z0QzZ@=k$t5RF{U2g-q<`n~4hru5ms@0$VdE6X&M>$-g~@|E~+ni&4jsr%$8?hw6zW
zeF~>!;zHBH*e0u^{>?zo``Bktw<HmOq=igxezMFs-zgFGsM2n2|D3++<g?BWk>gDd
zI#YSm8riM2=@)YGv4@#2Q}acr6RJ;IS(pTXmY?r<w>EQ5>+#=#g`h7>!X$NACc{3Y
zBwa46s_P(~sc69lw^>4Hje%8OWYJ7bE@?f(tFWE%I}aHfW=AH|nwwkv(F+58RXlr^
zNzXXv==MS(U$x`E>WX>c@xPnp<l#|bufEg_^Hj2P#`fho8&WJgB~?pdeF*|Iu`cyw
z&y#sd6>BzBhCrdZp`e+E+BAtd<dB;xTP$Fg8-y2HC56=hfSFZAL2hAWK1a{*08ve=
z$Swc<?EVQjYT@u4htJ-fFT$hznRT*~)AGT~;_jE*sutfzy`rheWygYR)v>`*9}9^9
zD(WnB%P#m4`tn06R{J{M7sak)-sQyitu+kAqlZo!URTfOj@+(}rq1Hd(1ahwvf3vy
z4&00V={@-mG98FP0oFiL%pUW(nPK3e8Uu0Vj5z7^4pF4ziv|V>MZ5+nG?-aeHx()v
zjkro`z@Gv@=l)z<=_RIqvH4PwYEwU1eSXaT0^C#%7ZLAUq*SuWS@qRroKSt6oZuK2
z6Ls+(LEplVfR+93tGC?RZZbMgSf5Tg_!vZCf-65lQO2d-Ej;tz2p(NyA$`VQ{-O#C
z7ufGwNJP@Td$T1uCbnKHWM}JMbjB7o7s~T=*+zlgw~`jgXY1X;X04Q5mq%XTE~$Qa
z;@|6q^xuT+Z)H3IY@N?zJO2ToDbY(G`^mvdg`loLWY@D9P1xnpdKjFOkI!;5!z~lx
z3jmFCAiy_ry*rzO0n$t;v`oKc7U5dJ+AfxD*85``5%~|%C${jrVfyzsHs3$OK#)nt
z<&V#^Gc)y)CUUwZN`zk?D@uI%-Y2%tFG<31s7-BOOm?j}W0M>4lN-5RIRuN0@_623
zOMzoj@k@!(k4$H^Ef(Y}r_<-%s;`X(O3TGp3SW6CaI0<hcrqOuA8q@ptUO3f3|9_$
zb~s7B)){{(#|@kM%&nQfa%6qfYM?S&BbR??bz3nw-kGjL1SAV@S;z-0U;~sT4;cBD
zL`Zw`%c^g_7r3`VYSzB0USh?feD>~f{b<h+);L>Q=#cm+VC*9kf^(=T3(sV_|3C*~
za>|m&X2$uD;r-;O(8)0Tod06c2@a&uDwti%$bQR#2%_a^59q5r9AD8aeUIo(DpO}%
zc#JFb;rDgrZ)@IV_dJ9l(N#TLrftI3e)(fOt5~g&$0rhz)!k1fYj{;lH7gq+3Q5o&
zTv1zDvX8+)3y~MR-u3pVAI95$gbk<}p5uib9V_hs%Y%;auGk)Ut=tR`?*YxA?TBzp
z;e80yO#?6Bo1(v)gs*-kxLz!|A@1BBAj{MvOs(?}Ht#NkNino}BH5oN;8Nn^>e^h<
zsKu;Ptwnb2@!<ni*VZ2ZW1ek>S)7?kvAefNrXvM}?=;@A$?dv7w#{h{F0zkCg`U+f
zM?}LZFMb-oQvn<p69`QN0pt+fmtClodPzG7`sZ^!mDK=5_--7*y{eo`L{k;e1cf88
zMb+{%USUuFz;mu@t_8pZH^)gGWW7upwd3m96g5%<T{g-!q60xQ;>1%vrU@zw`(x(j
z$Tf=oZ9952uOiL5UIk2s@z2NW0X<WyUJUaX(N?YRs-zt3A<D545oxNY1qG`|Kd13Q
zgQ4^D7Q7+-f>=Px9oiV*cPY$}!p_9JEV?YGZyk#{Au|{XOzaov(#GktPZ<BX4g{w5
zp>ct3t8g)^R<uc}JQMWQsxo%Y$6iEA4|z8ByI9R{zaAdmt%+W{r2;0i0@{JM1T%f*
zi44QjDHx12f3jwwOfj8r!qdwu3}}tm3~H1Egfr3|;FG$IpFH6QhBtzowE$R|virJ*
za&r{pXDfPt6a(suBtFl)XzfRkS6r{Q&xC9Z_xJZXqCofY9!}I>s+@@HWz;k>q27li
z1J7+&SeZeaz&SE^&|@6FP8_~f|D3ECfgSpry8}OaO#=_e-C>w$uSkeQ7e+|8rG75r
zsk{7O?@(f=^<=a*#_x6=2C7~0y#adulFAJ`+F1>X)op<$x}N=Xz|pG#Kp)`axY$Dg
z>cl$@_+3MY=I3VL-Pv-|>z1`-0Q=nSXm&vNT`&<!#~zwsYi#Okvk1kM*Ji!0Ko{Wb
z+?)jh6#}XkASwM9N&4(#K9&h;(i;U@2kkHknAvMJ-ImLN<)yi$B`o@;zS3u8w$e~E
zQ9uuvdO)ug0^0KJot5d-e?MPz8Y3quO<Cv(dIqxHKMQs;(I()meUqZXS)&P*FYBtW
zRUDCzTk`#^rxiWE4`8_|F_PBKSoy`G-UQL~)>OGPKDvI`AmtBlHCV#83YU|7q7(q@
zexQ(*O%c&BlAwV)3d?3WvhntY(lLif=-|+kCM=Qhlt!bQSo*D&smBk@cJgalW(DZh
z15Y5JYF&xBej^u`j0HzdhX~5a0vm>6wOfl|B>|FY$qBwH+qZ#u9L`SRQVl5R*F1e&
zO}n<ZCfRY0FsUcY9OG+1urH>~JIL>Z1^^X#-CJ7`n^|VT{jckLk({Gdq;_AszW=Jp
z05n(E<3T!H_`KKs)h0aIB)XdNb`=#Nf+4!>LNE!TKv%TwkKS;=v$I32?k<2r2XsIK
z47{JhtBl-zHQ;<A#&?>vW$!h>QR^|;TE|C$e(s#<MTD@4FzecY7D~Vm6~7sEYc~Ow
zx0pMG<T>*%IG+y*P3K*5PWW>w!yNrs#Eu3|BixdHhO9{-VD)JLuzt=w(CElN?W!v|
zIyYeY+7)<^Knq3htbm@-hL7ug3s!|0=7v|_HAA6^^0a?2{nchxW3@>?RB-tSrv*5P
ziF~y`9FMga4J7fcv(w+j*?FF&6sNBGS!x2bv|Hp<d_dE-tRA^~<eiA^T&!S@ug^?X
zpt~P!B&Z}*;-=j(Ic-55XRNyT(VPZGOd|xpfs{GK<_fQu@f$nA7ph+>SSH)Adn4A`
z2JnMo#T%w4X$_er;j8W`cwbjd%8s-?(23t=>qlJwIHJORT->%94aYK0g!b^Ck3L(*
zBw@=SY=}=PX3LNMVDOqYSuL3`bxNI>`61OT-&pbMpP5Y4xX|}G<h?X|m{xc@yTYj7
z=%b{!8RQ<uXFL+{m&Ae@kzihLtO_GRRJO@hb?g>G*WZcCX}|w{spk$#Zdm@-p9Q>-
z)(6wwG2LPU&{e`p)&0G%jeVH2Wdh=X#QUg89gw`-B_<?xQdEnGZ$KcKCrp8UQ(3=w
zk*eEj{4gpX-)c!v7FQ{n5EFCO(%ga>XS-zqznhkxEus7xc;aQ74fwm#VngYU(`eeB
zTI<OL1w-i=D<8pIA<A-+tE^71YexIaj{+uXFQpZrkEic~_31<@MAX`xdN!BzdFTQf
z0r0hYMA2u@80m4QQsgA@`<3BBve?bzd+Q?Pk2~o_Y(NLcF%^0%WXoO45Jm0>3-ac-
z8iv!)S=rwVIfn|yQKJY5I_>y<xe`Bbvz*Bs{Z(MP=jHv|?`Z&bSz{I6votF1tf-yr
z*ZW4<R;$?F&4X1G&Pu=Ei<hCa)89mSH0^I%HTllDxclUf>tY<w|9tTU)dYf9$0RNy
zqMrlRHW;I?+*F>&+U?9yj;m$Mziq0>tTZ>s8|^PWI`UMg-Vf_-TdS`xhvD@yKc8Lc
zIf@BwR1YNa)VmnpZj$z-E$m|*SB<+zI@37y_q-7hPD$Nkk>32Yy5QucU{ub3FrTXD
zhvQ<KuWjRgxwQ~bUC<v)>Tj)!+SA^0ec9%6tzyX2J;oyQZ=1;oiy?i+7N)qEsmfB>
z=e;e$xU2d$tT99=gJK_6xNmXnM6=9e<nzR4EVMGv=`fX&<tf#dSj8)#TSg<)*$}${
zJZCA$2RWzTc)Q@CCJ`>5_0<GO*{yf!5YvH}FzCAl6nCGjpzqJW969(XHcC14;pJPl
zog}@~hbDiQWWtc+a1@x(E<sUn<O8~6xnOt!hhVt?uBSSWzQQR|Ez$kAwd73ppB9XR
zF!P~qjYqhIdHj}q6p$3%@V^VpfBS_Qf8ur)Vxwg+fWF7Z&;OT>su3}ErLee369MB)
zO)=R{f#)oov=?Q_Xoc%%?r-lH%|I<ueBKud!Qw>=UqU9?fDB$N(Izx5@;-xv!Oi3O
z!TI$|0m|u}Sc(F1&c|5>?L1j+k9K{#*W>gbZ-dVF&|OGuHp5&fw9^PgH&R+OZ?5}x
zXET6?sKWhWjzWe>E{~x;cWzd73ZzDe7dPh<PR6kHIw`6Je4v@bSql(~rcYm1BRPEG
z{|J6NcvDyHoAycH^wwMm^_1Uo8bj4*fFSq(3AliMX9fEN-Az1>BNODqIL3U*rNlx#
zg<MsZ8Fp<EEv!nDnOZO8YHNnQw80Smo#JPbCOKH{@8j$upzo<=bTB7}W9=e@Jc@o|
zS=po-T=zb8G7QtC{K*^==!3bYi5_LN=wxI&l<BaH1m$X!)yj2MoXzk!l~&ORx=mMA
z_YI<unS2(n^lcZIXJ_Cj@ge%k6?{*bhs$^jRNzQ4H}HV&V4g{jN1*S*p{H7QT7*2L
z>Yzf%m$PF<J<t4|$iJi^)PJNQM7xdd%rVS%j>RNAnSB<FVVH*_P>#dCK|lAJ1fo;&
zK~g2Ce08RL&BO4v=O-1IQ7x68%*Iz$t2=ZLcS}drP9gY`f!$4jA%IrGWZ1svfeF<v
zlD8SocF&{M>#(`wnQEgJj>=%djEdkf^=i&`?uUiE+wRUC+hoh_>Z!E89+^~M!mL`W
zNWnqWX-J-jt=l95VS+P~93*m=W!ZnYtC|LTVPXW0hrb)9=-ReImTZM4e(+?5(L(ah
zby9al9=k7~jBQS&^f`?LsCpqv>?bYA|6JkUsR-dFHmQ#|!t%qM2sSL*1PXbo1c)Lf
zmhkJDX1jIY%gyyiY*%3e0k#vbOTPrUj-YNS)%LMNiwo^=n*~n**r@07ur-HkMAd{^
zb_E@KJL^e)8jVj}BhZeZkj1rQX>Ga2?%1JeA_7-}L?Ou<0Udv>tJY};D^?3#hdLNG
zJzC9=bXvXLIf63&zt-M5psICU`<4=EK{^#hB_`b|U4n?9gp$%R6%>&a5D=73rMpxb
zlr913Qc6ORlI{|C@4?z@oxQ)c&pzLKzHj}*T1%NQ=NRL8?&rF%>vxw3NQt9)QBlQB
zXX(2Uu^3M_gC{;i<6Fh0zNF9u%z52{4plc0*-+jtS2t-=ig@4xgYd$%T*Mj_4PmmZ
zp&_2GJghh39+HaSH*o8^?|J?t`=I}qJ@KFIE1`w0yra&V_mwW<cwG63iju8mh3LWr
z`L4JboyoxEkV7NFWdAnr5b|hi40mm!DzB;v)&Z8V_=|+PHC(UC-jU2kl*movkvs0I
z8GjC4bq-L8a&}86n@h>HOHad-P4~|&@m)IWg00eJ<7e~P4x_v9Xw@;=ZylxG<4G|(
z|B<M>-SGxb7Gq$EF46v3v@-F^+D#i7o<4JUT0d;*84yuf87c`+W0z_rFL-Y#Bwtb0
z63pP4+0ss>mcUwdXVkV@p7io}EOGm7zBc=8q~!0)3nJ7O<+M7CRykY()9KHEw%Fy1
zaoC3V1*f9V_&#!P%Z>G07oa9UyW+JsKQ~3m(&l5%f8@_NxGF!1`XVzLnJ}$?^>n|9
zUH<dJhg^NPN4d4UON`9!Qm1)VG?mItmV}{~b0Y(r_!)JXcgtk@<M#O}lAjn93nlo?
z<9x9C=(Wlh<%!crQGlux6}(Or)8e1R?)mw3m>t<wGexWNI>CC|Sf~tr<{E!o|5&$!
zBdNvD8flU$Qa|;Hi_XWY3jB`&ZJFt`bRr=um1UdHS5<RI266p2M&z9Hxn_1dhseBa
zFVLdg>waYY4^4%>+qEMdJ_@<lN3JOKMQjH=x;3uJ8)Rmg&7qbi@BMm$%uA(d7e#6m
zM9d-?uEYEwAcT8{lLT|#**XRzp?fIi+Ldi@G=Y7gPg~yeCCs46TZ(dTF6T4m>YW+A
z@QALlWyrl#V5Da0Yxv$Gqj*L79j?oSW(T-FI?HA*yA3uuK?GMyMKAw$!|fKIf2vgb
z{3~g)>ss^#H5hX^_<Z#@F!I$ftpd*2mY?ImsA9R5J3u^hUq;8AePs2@+^+$j`i&3m
zI?R6xH#^t<e0u-XH2&CfRCGP!+&Eh$Ij}@V34aDwLn}elnDzB(ls4(_6nvvtt+r>k
z^L}kao4_MxOE{kyPl5l<Ko+VL=GExHg*E<frS}8B3pdwNtINFEyiep$_w6FR9Fb(N
z*1oSwg;vXRo~8v7c};>RRunJlhdxvhi(@@Pb*-b6OO$UDb8&BEfund+J7`dlv&!lw
zV^y9~-p|eCb?c;WJbib1H6kK|ys*N*b}pdg4X=qc>a+SXd1FJ^5-qQGev(njNgZrm
z&91>yH{<??y~c7gtnFqeXP>Ny&3YIkoBgXz4f0X^!MH2kS68n<?4RuCcz-gLvQJk|
z;K-G}q)R=LVT9hAD_xLCa1Y7l7R>MR|9LrM|0T^ay;WWV!E(a6z$6uh?`wE(V`A!<
z*m}R!^VJ!c48*+mEz$bvi|wB9CQ)uAUFFb1sMPqpxa3nJ(y3;@LJqaWTQPE(HmeeK
z0()*-JDS;P81I71zcSK>-8__7|LEYto>Ie>Sx&akB2t|ZPn)tiwE8jIeuO@eS@}?!
z`LnRNyW$<@jDPH^5C4)#|4UgU;)@*d(P11%A;RJ?(=G=oK9NXtJ#A!|*PTAgfKcLz
zv6*`Hlrt^uUTQKl1{-MrNO*)B6=WQT{X#pQHN{+?*{FhD*(J9oUnoIvy09nCXvxsG
z8$XP7ukW(5Ei-g5EpmInspe=Kc`tb&O-KT_@Jw4u`c>_(v4N?A*patWG|%7F!){iw
zk}l#+DNzT_9#YECb5CD;V;693DtYrgE}J7+`Tal|NvfQH1Zj?Y9DZ5J7J;_XllzF&
z=@sz7@%#bSNz!2q>)$%XOENg@My=D67m@Y4PqI+0p|v81ewb;Xq52n2kEETN?;G&6
zwo1Q`-_(Gj2;-hSzG*t&s-6E0$h&_P5kZlD(__x>%KBawrr=W+ZBf?XxR&L1mM(s=
zlxX#n#sQ9F3oTC{rAR)><0s>@EqRX2p7<ZAg}LlAu5{j<5=3X&ow6f&vJgJGaqr+3
zQ^`iq1+{%P`WAcme4EJXZq8t<X7&`e5<g4))YfYDqNAfP;_~T2*kA9u$B7)>k>#1K
zvmxla^q1`urLSc7@BC#YR+a9jadDU47IzgXM_e8Toe|L-%k0N0Dg=}EIxK7f5On)0
zIiga1niAh0GTo-~T%$t3YJBD$1z;+BtJ_G1?BUd@AWHpjM7ak&%PU9AD~st7>J6rd
z%cZb|(FXmrUEg-PEy@XUfuk%jcTFaaw#(yqIZrOxpk;u9HQ>q+dzdTa8<&7j#LZU>
z39GNcQb*1Q%|bQC{aH6i_BVHSMxWFk+&iJML0l^7^=tRzgNbt8V)J1i5=l!$4+9|&
zj>-_rLR=}PArh4Ivzc-Bh`KUyFuuc))IAC&7$^Nw>nQh)xQTDeGVei<dq{Wu%FF9c
zJ5M@FJL_eeSBNqNzouF1j=9oBGvo0J6vh5gX!k9i+(Cg-ui)G>j5l;&Q1DKov<a9<
z`qU_-xx#R|vk5I_hxG9`>5~PdLF#x(_LNNIK(tg;;DdQ+)5k}W20<kAL78vyOC7rz
z>BiA)gR%xX_MTU>I&d?j0$>49J3Z?=m66T0M<X(OYKvXxWmXD<8*Xwpv2|(HNYrjc
zdULp-xw-agK6CX=Q7TE-9GMH^xM6krZIcIsLH+2!Wl|S*fncnb=}m1mS%xg^`=Vk#
zI$HRiH{@A_(cji;X`jcM5|5ve)CBj~*WqE2k{7&u5dTcf=(o}@G{M={{pgSp)sEnx
z#x)SuUfIsLtNx7}-NXq8T*vENs3gyO*Tp=K-1LjhgFu!xQrVf{_$M=2qq{nCEvrPV
zKFj2mmk$C)Pmiko#4jcX8VEz#4TN>(7qx<j+e>`k9%ib=QPNM9*3tz-?or><^SCDo
z3`Sr7e3{{tf$@J8-g<GCI1qQ)q_#uap)@p18+3>bq{0s|bQuT%DP(;|Ng(nC27ymA
zFK>QxgOhxLdNR2YqX|$kFs)wjrmwMuimKeI2r0`jRe90pZY(z99R&OSw9z-K`q+6^
z3+uq(q|r0^lXQm^wz$nvmuAW$l3iyiCzSgN<2f@?L!p#uk^E7;tLgW99qM&+FDvIn
zU(yI9>a!A1I;Si0TRpXpdEDV*Z0gp?rDRwj`H3LM$nGeUp(p(5jPR0XHbd7zY#Fzp
zv70l{c8FwXXkAYK&|`k(V2$>t)I_=f?!Tv)ChX%Nx7!T{G26rat;cIB876dswgvCs
zb1n{k`C^u#`FVeT|JS(6JN<I|A<0IDtcO_>Hc~6C50T>Yf`SRW)UC|xg{-$SUk$yl
ztQ>{EjXZUTEsc+_5>kbTFYVh$$HMN#;bK%wJK|A8)(5a={=o}-2U1pLej$A8(RZdJ
zL=KyF$gg>-3(6qFgF1{d(6>H>oWy*2$WXmX|6&sZvAGC>;u9x+El|Y$ofajIe{Tpn
z&Rll|TUbZOKa;@#95{%`+F3~+74S1bYy;z3{_#E+@?;{Zbx=X=zT|3`S$|<;KisjY
zKVFkM@}J&#dSZu#?6uRvyYi7QcMR>o8)yAV;}2JBrWuQgeZ~Cc6YwG;+=1^A6i@0R
zPHsN-n0Dk%jux4<Yb>_0=hIv3|5wjtkYVRs((d!ICll_nQcO-m#;||@S#cD!U{eML
zhV6}{<8L70al}cumZ>F*4|7(`rIJd#^}86MqH7*Uk0x^XHGZ%AX^&D=0*gr-<u4rC
z(NZr)Yi|544Xx<Ys$ZVjvyn`jfr}=xm8|}bwa+F`HXY_69y%kd#<*jQs#L49e{Z)v
z?V051NBpLSXH50C*Q3pp&#D>)OeSHW4J}w{-t=R$Sj>4~v)svE^nKDUJpV!?Yii7U
zxrF|d1bJ7)t(c!*_*3lL^72#d4%5|`t5`HAU$R+$s2yM@ebmji$$&qoP;rSoC;al+
zE-^_ChRC)uSZ7iCjnq2mSC@0n5J@-vLjfePIqDd>Qgu`p`Q3~5`3+vY=9jBpBZQa}
zL8Tf^<s$etX?AaeX$lPu1>B4d*o|$I$+k0wGI>kb{h1HdGPui1={bLuQ8w!2kasDU
zo?%)hbK{9NO40YGHIg6VKc&}F!l&TA=A69N6<Oy<Xfp4olPT^HcgOTQU)=lWh2tMh
zy{S>@mdjO+KN4@mUa?nnRCG^a=wj-OD!xbKF?`LvSZkQZrb_XAO|#*7ty@8q#ywP2
zgbxgCagUwX1JkMrDDLjoVG@sq70_Puyi_46%7rROcv;bm10DXl@M{FL`&%J{1g4!0
zuGH~Qs1+$kde_dh$mD9W507zqcJCh?ysIAjcun=$-(X`U*Dr1<TsWLKc0IIEBCTWZ
zCoD<RwmEI^ZYFs^l~|51XsHUSKurqi1Fcg*14fwW9A0PDFnj#=W>6gXHM4I$v<?NR
z*rFjtbGT(rt56<K#N^lAP)-7VkqA#ZNh;5H3|8$dV!KCG84c83m6g}ec2bn6Y9#u%
zx4&APf1blwzWq7to-~?OIKSNX`s9jf<6Mf8q3^ib17a`(^suBz^$lt4KdZQ45kOvL
z&Ve`36Vey(6GvXSKQ`8B(|T?0wMt)%$!5os>t`y>7e?j3qz<<m58h7so7{pFhLB-Z
znacPs;6N;xfBV8%j1Suoa*DAMyFQh1J_tACzA);{pmdHzfmEwB2UevEZ)mfstP2~_
z{71GCCJkL*Y~YFovPv6XpVC%TSFE^o>k)_ZR?-+Ii->hs5s$LU{G|fX)$W8rvU;nX
zXB*dBHZs;elqks>7AZZ5_IcPc=Mq65qUpqcTdDgainK?iE=K+3q*#}}!)1xf-=?jn
zT6}q8W3ta!)xYy0!Z5Tx_fSvf5{*<Q4XarI>$Ml(yINzd>Te2O?D<cyA>weqQVZge
z8v?Bq5iFQnoj$_JgwbdA>W)s?p1TIu@W4k#bU=-Q_xl>YK!Mz;P6|EdXZE?8M6<<&
zA}%FzrzCJkPdlrAzV`M92Nxf0#tqu$=<KF|eqy8FOpP^kJ2*>z@a}Z|T1JCQ&fB|F
zxE+Mu!!S%5bZLaf7pW{AX3vKLPP~z@+XUsw2aG@OwUK!xQlR%JXTQ2}#QoqXjG(2`
z<B<Dga@ajt#iU)gKC!S^Q`~$5_)ZqxdHL4jILh<?#;Wo!$Fv9)eOQ_v5k>4>uv!gk
zGa?j^fEy;`{;z!B>P+xm(ntDy{@UQA%R!2@k816mt-F$roncj!o{{=%irUdd)oa`8
z&U*CvoL?0!(|}J{*QpZjh{Q98_JYeXP<DuYy=3P6%|P!FN{hKUPi(^~>D#y_k&6(t
zaWWz_BFH9ukXzqS0|0y)r)EDvV$y|f^R`0>s-|4irLSpURsWdmZrsLLi@mVNSIOQT
z^7-ZeCfSrz&47K&X*IA|!ORr#c}dS0ub98?dw3J>(juj2TJ$A0K02hfWPzc9>|SaO
zMihX|GrRL#r;PIb3Sa0~BUNlAS?7NDNWT=jf$tCE4ECS*NtOE9_~|cjl1`1~CUN>*
zQPys7eYp`ZuWXS+3Am(i^795Sxq|%XHH8h@^c{SUlt-x@qocp`U%1OX?45k*^<-2$
zKBmp1E`GA?DIBQvn4Q~Kd)DGN!l9ObST!)z!(6|Qn><11_&dLOayTvW(Ub*ATUaUC
ze|D^lXl|JqTT=1ZnX%|&&Bb4Fr-%;6bF2y4&r;}&e63427k@fUW9kPN*SWG$6;X~J
zwQ1?>a4a!j%|H&)hP6A_Vj?b&k=v<0i9UP~Be^z0>#UkCy#IsJt*5$Y*Z7Uj6jryz
zfv0cb5mvloOcU9KfQ09FNTQVDru!2L)i8CQ@*6N&-Yvi;(ltt+mRUfNYNqR68YBN+
zs$BQ(=vlcOzMF`g5$pFd?DGs{x?233YC#O=1cyJ6zDIenG+4e$T7GT%J3mo4lf`@S
z4|tvv$zK}SpKP`;g<QN#YtidNEwK+-X>J6>^2RcjW?U1B0&gi!-<>bn3{N$rKff;N
z*3Xq=F@YQEV$29PU9&#E0H-nE_9cANciYjaJpA{junHxP40QxE(b2`W*CP&7s+<%&
z^4YSwDVnpt`JvT6quF|-ygXRt-&_W>RC)8Kocz?duyk9($QSib9iR`fjr-_c`uv4^
zaf1W_{1S;ptjS!e((~`K6`GwYyLN~510}CL5MTF^L1|B|rT@c~gZj&r^Ov|uo5OI4
z$fldkS^TEhdNebN;#bP~+xD%jX;kEAq_YzS(SajyNbggd1~Dxfe>AL|{OiQU&KJc;
zjII2By^?#I+6F;qe-+T0yhT|THT(ZsiTeJOtAE#>mNQ@Q-QKvSaR=W@<JQ(!k<Ib6
zx-8sMm9@k8p)9=1B#%VWEnqL`+e;2U9SmF&#i_b|$8kMJgIX4*<$cE>QNcHrJa9l6
zBTtM-?CzzOvRa!vpenr&8Vs%Jzq1($c)i;A!ke+yx7x;!>x6GsB9$%WpY^IE@6e5>
zNcpO_8YUCTdmK$C-2(1buR{#@iv<FLMDscP>9M(81B@BQ1y$E0+Ut!}c&ZPRIu))6
z$eV?4JM$9OIK1F0oh^${y3ZiZV=){n=bm7tT5`|wg|SO;pFme1SFFRsOyjEPGs+y4
zRV*fRjWWWwZfiOCa$qp;2A{}~3iIk$=}hCwcY|*j;q%w;vJx$pdamlo5I(7DrY^O*
z@b~2OpS>+eh|9N<UBIfyr2RP{v5ot*2cIz29^aOXd!}DA?2GgTES{@o*D6>83+>rD
zTJFFvkvy9nR)+oP7HeOz@RoKqF7vx{pJi$H`?fMID<vSbyN#RJ$725V=(>*JOjM&$
z!MG+$4c^;Vp&CZ~tw-q-4?6f@|7z~>d-j$XUM_u*S%M%s-0D3<jA!}T{?r(KTT&0^
zI0nyYH~Q0UX;ikI$cu^9dXEpJ%Bla;5+Q)mCmA-VPJ~TuWvNt1*yKP|L&wr{Gb}`l
zrbKHIFr`;GSk6f*=(gUpxJg2hc#(j`BHQ*lv3PddSydkeHXKG#)^ebh`v2VW56qib
z`xTT;j_<aveBevVWT|Lo%BwHiU8t8hL*4bA<IvkN^wP{`U&9`johA{#u+_j&(A&p>
z*Tj@-<g@*~yK(lFQZ9eW>1<foh$<Mi8rQ^@w3PHr&jcEeYGyj56-3KI%Of|cKfmWa
z`fkFAX5IV4G`h(6*B%9E2GZ-p_3T}=wpbYyXj2Z7+qh;b!_x2l`<x?}FD^V6d_i#m
zN9TFuJv>{o^#U~^l5Jf1d=|{eaN~b0>9OzeDjh^w4a7L#g{LnD2+gRfsr|Ma+Q|^X
zTfD@kE{2D8;k#+|1`wci^w^^#2^;G6IOFTQL!4@YlwFYo8RQRP9jB_nJ#)P6IkyNA
z@C@fU=dPy@buiQ8r(FtcJHASP5O(?CZY5r;Cb!Xy7K|SQ>i9tBe>C&v$|LfwEB_Gn
zPoo9vchcu5a>F|ubeJ#K*ax;ZH*s-AurN^0Wfo~CvB*&J)6n!drc3+C3gX=ryiAyq
zi95PiLdQslm2c;*uR4u-{bK+#$Wzjd*$~rMo=gny?cMJK@!;0`o#8y`tjvFhXkWQZ
z>3km6grGxy0_F%4G!`*xvXGT~i2&|bLA-2IOgIW?7?Sssohsjp2$FYJFSjR5WEzlt
zT58`(UrRH=7lLY<Q%V0*TH^d`ar;yIh03?oxbgH!DiCpD{c)x$K=4$}Axu)XN#J8R
zF&H3xXp=%qB*D0lUpo#be8GVkzNEcZ2>yN>5M!fnb&GA`Q1`gSdFHi+?S%UdQSjIw
zKBoKq&4V0o=21~TO%G^HAo$^U(hdVVM@|9xnW%8q^c>h5pds$8Fr7lEhBp#*O*Rx(
z!1bOBD8jwz(0q-djwRQhJ$skd-5VbIy05tur<a}?%}`CgGfHk?^q9kWPgvkCr6iku
zKBu$WH%6_u{_7H0^mMvcD7{VxlyE0H@R{H3JN;N)9id<DCtPZ2?7Q+^tr7H9Rmi(2
z^~>%wPWj52smHV2(%f?!vMr#7*m=1YUyBqy`ZCl1SEX!Zxp2AWz}^-3WBx}Si4tPH
z&L>BDTC2}=IY^KaGF408{h7)x1`9WIbiA+L);kGO(oO98sU=BD%=J%9peF!Av@{ck
zE(3g+I~-uamo#DC`NoVya(A+4G~MR?$L5X>Ffy^Y!q5c2YCjMN5iiogo0p$bDPHF1
z58<9Z{muR4Bt4VP@_%nhE9`S%+O5O2eej@Xe7mfC7z`(9<bRZndH^YDdz#Dhsee~t
zS}2PQMcJXISdpCNbqw=XK@5|p&Pn&0$#{(45`GL3RGK1EFs3DeXGq_U*!u2I)-l`+
zcAz7hn9apWA7D9KEpX5^3gVr0%*3HPsAx}g&QJT4!^&68n%7WM?I}GNQ>PAQvdK~@
zrTaFM>J*wIIUdAS-2tvPBEtlA?)SxTL<`Y2k}=_HQ9;VaR-_-yfo)8S8y&P3t+Y0R
z{puBf9ES<64aaKb{HzdklYG*!+ey}ep?e8Hap~J&GPC<Nkn_0ER?z0$74?$w@p0pW
zpBqoXy7%_w4PgBbNj8DzdXl_5aVu6VaEd{A_hfcN($Qwt=u-JVXD2JV|Hw{W5!+Pw
z1(DkVK%zgYw7Z>ekTB;R&I_n`{SwRGp6(U5S+ONwDuV)muDMmBGfrZbzP%shPDD59
zp%mW%@Jw1T9q+c3kDAvWZWn`Qq+jddey>V1XULC;&hHBfLX5gOT17A<qM}?ATxFvd
z-ksxlvV0dDm%6E@NZVG1zetuK2h^jXNY+~lwu1ly14|mrhG<I}b3j~5U#tZn5Y4&$
z8f1`Z2N8%menjaM)OB<qMoT2{x4gW}@Ui2WcHZsbMAv1SJalJjg(ip2J_`noMQ|bq
zX&=$YAM`q`p@$e&q1lnI$~#^PDd^>zpxm$t=DBY_r;hUZ>~$zjS#m?y@=lJoAW?~^
zc9udQKgzkXnl@7*NXxtEO2Ath6Kl7Qj^?*nG78`{?fPDAp5=je5Z;6pf=kJ=O1N4o
zymXazWbd(^qy)KLhT;_rQAR7=wal;@U?TgK^<60hjH0nS&6Vs7%zISPvkxQH)}pUV
zw_~_`NO1Jtz=kkrYjeH8(H)<&j(0b%jxv?V{r_kb8^r58UZ_24hp6;@2uzj%)$IaP
z4tQ64*7vFo;ZO2F<O1_%BbZIENbLoH%so+zT>f{|xhIaorjm}(4MfrgdfRBQ$V}`7
zaDcrf=;#2k4jEtqF;iah%JnvO{}Fqe){m&9-KHyxH3!Rd`+KE0{Rq<!rjmq!a=w*k
zSc*6yqdU#*K=3^g)Fys+PLx<@BMkuOi15II_%dopX2U2G*XiRWo27FGo-8Aa0|rEz
z*4oZydR}*We27H+c{fKf%b%Pzs7If!^ahp4t(L}w&gT2=(VAaF=gV?ND4X`#jVCZ(
z`MTq_8Qb0xd9*pEg`fXam6d+wd=p#7>ICf<vZ@-+26p!s8LFYFpLCo9ugh`}DSV=7
zjbAIQTVveU6k8_Xc_5fIFx*dIB*{Mh)Vu8zx4|2%c&eS>(qge#iBi7^1g{dg_fx!?
zT6Ogbj%uL(;CV+TE=&u@UJpmpq(?}(G8^ChLi189YGOD>^L8lZ#jHoRidKS3L8q6J
zlXi3l%F9x?UVNOzPF|bZx~bC3=TSW5sF4%3xExbs1Ic!<`Z1P)XTbF$%NqjJBrnm+
z0@|Mug|>to@7D`7+NEDrWjLHo)8v(h3Tzv7f0ACK`y$Da2D#}N`L2@JOs>MXCh&?G
z0=o6_BqHb&rIp(fd$uyK^+$pgr9`!n>%+IC1_F*J4cEeV9X?i<#4m+gw!}Mr5jI#~
zukVw4gdUqVsuHEm=M1pM6{#NXiOBv4l&my4$H_0UENizNB1Ik^uwmrf-CaneRJ*H!
zOL?~ord3Sjy<a0a=h#_Km+_Af2pz+}?T%S%6^qWF(Ji^86JlZ*&iU-r#j&1(H4DCC
zs4+uZIB%*+a@Vt_*+Vey+QD;yy*egD*R<gRUobjwVa509Ht$>tTQZ$Wm|-XcDs%kT
zca>POnP&6(2E~IyXbu?Fp7O`<Pz75RaZ%}xUt0a9lFER!z@M}eb&EuPB<oCd+?<PY
zE%qDo4<U0x^59FT_NvbK;lj?ct__56(}qqFEzj<I5urocRT)Y*hW-tm0(>;irE(n$
z`FN~xytGCm@4r)65S2xW7K=vXO6BopEKXK)WvpEtYx#=TrO6vwH2SLq+|Gy6JYbuN
z>SKyrUe7$>cBgbAS|lNhl=$wzUBk;&c<Wa4e7+3RE`I&3KtWOiF}&3b6-}}$H$@oG
zY~?9jOcOCh8>5$=-{Xn$hPb(v(Ee`?!<Di<?AOAZ-Vo6e_2&zcFQWj{(^bbGWmw58
zS5@pTD?KT5`7L(VCLZfe#O?p=b;=gdYRuCN_Q=v@<{$WhN#H~Ovo5EGDU!OFzC;#g
zHrT^OfHyM`)7BoDTy?$dSFv2H_vMQO`n7pyFIMBl1mVfPJxp<8Riu02h5flQgQ@gd
za{I%W>li4Sd586dM%UYKXo)X{B|Oi^RAxRn^MsX=W2(Q0BtK^JF?d~anH2R{MskUF
zNK3W&*Gle50ei~Q6R<@ZhSOh&!2ARGOWGQG<|6LZ5e(-oYpsng-M-UO6KeFwc`YwR
zaM?)zpn<w3|9KqyOAX-HtmJ_(b5M<@xd-GE=JJr^$?a#VO-&&uw15FMNN2L2QEpXa
zBQdj7>3NS$8^S;DrlB~s8NF`pLhGImC&jA$^I11Ye}&W2G8G$F<xc8BZ*Aq1V~g(+
z1Qq%3q%%1F>Y7{|#$aL%3|eGqK8&BjB_dO?(NL82xCO_~lQOU7hH|h!)3?>kunDdH
z>I~XiedWO!UzPN_Cr?~DVha|UgL;H&>^Zh~JHtEcum1gNAyTP8;M<DM+bSw{y$c;B
z<$7i3isZ5dht6rx0U?Rp$nWjB^U?l0!)B1JY97%v&RCPq`hwAHq>s{LPH()^J{;MN
zR5nUGz)=b6I}75dZA8y1U;0>h6z9X{Z>-nQhR$7rGA_QvLvmtxe6=jzgGY4<))@z+
z-_X`m><d$+au2c=C&jSs&a@U|^vm^h*#K+^p(r7rktMwW*gnGgdSW;*$)bY1rp)FE
z(mu|24NVEXl)^2NLiUsA|CBcRtMmt5<9S<Nx^#B^(wj>APX3=oHlfLv5$I|cO}4a8
z1#1tl2IO_Ra){m%gC->;zZ6)yx`s+`9J<|O3~vQ*yX00tEXU?MjU1d8VFstlSH&O_
zOq+gbB<s>XTRCNG)`pd<WL3G3>&;>6B!idj6FplZ2i{GM`X*VYA$e1}`hhI6Rr(&C
zE^*z@6r3~j@pJX(gI*RVl-m+o=|<=<_pBAvygC=6cFOIJ+-fL<?kD4WcEa*)U+D`e
z!2WI0jlo#^_&=wAttoZw=-!>R3UH#JRc(%?$&PU*6lu-5lVeLbN6DKWhIx4Esp@nO
z8h=ycrx4DcEnl4dTn<Zd2gI&bt9E)nwOk8llO7_C3aFcRrBc6}=xk$`$|v7?XzA7w
zKJRu}ijr}4xcYP2<wPzBUd*CCO%?NvV2tTD9y)cM3;J@+u{k3kJksZ(^-J)c?QY9d
zM-O@;OZ%hX7c-}-GZet(93SLeu9f@l?Dp7o4<pHhyIMp{_T9Ukej9P&At%!}n&?jd
zwWtF$Zh#|K^`S4`<vi8H>eJO>wt`*>nALXvcjC1K{rbG)G1E19zb||f|M~b|En3e0
zff|CBLkd@?G#ZL{zB{*vHs@UnWL2A&REbDtk#T=@OTFve%J?IS%z$Ku?VzOQG!hLb
zg2<fg{j!;Uk%9)ri2e+nt%kVuj#qBAhZ!F6R^ml+*V-`vt~x7H&_VENu2?3+>cMCg
zU#HR{x$5)FBN$b*&#BY<i@xui_wWdh?7IMWtdT*gp1YxnY1#iEl|lzNieE9b`JHBP
zbl-uPF-q0U)H?KKCVQF=BXsV2B+ZPLl@8=8SkbIBXe-(x<<_(W?|ive6J!|X1v0mB
zFX}Ug9yQ(DZqn!dq`%#yJHryt<^PDuG>N#jLGbwL?px=@O9nxp&xzw2bKo<fJtzF0
zN{`~9_n6=X2g3JCZloK^EFekD{H`kjEST0VN-?tfhe%A0STTT{?Fz*xu~96w9&=B*
zTe0dqP^u^CjdbG@Y*f?#)^Pc!r;apR;bsD7?&-Z@TFd8sX+JIr@Is0g+bV~5P8!EO
z!6lpih53*o{-ax3DyK`d<X8RKo`q=PseJyKXFS1t#$QKunuAXE4QZb?|8<IAPhlsk
zr?zy{@tJxFyac}a&#Rc_i%i?{AsqSkSHof`H(B<AP2X##i};`)48)t|#N*xbze9pE
zuEw1-H!nXfpI(nKmZDGceEg0^Vt{ydyqT$v;q(Bq_Q%5dTWe$eKs?I;71izESw`%)
zL^jv_`we$XRrcTVrieMv`u6eV8kHPWiQJHgnW=c_G$!Qgvuz1856B|J*Yv2JO(UDz
zZ@LhhJS`Ayz4?~1Staz1l5FlpBGwAF%q3bAWlg8ZiLL1CDMAZcotW)Dmy~YQukp$|
z+q1*SgZ*noESM!5T@;-JuR2XVCsBt#N(<`-E(ayq5^?)X6|<kuBjh-g;dwHD&f@dy
zlcT*x^9#u=PB70pozfBX)694v&OsO9Q^X^mpYR+=3U%aH(@p6@vIhQ0r2jYBS=PX}
zC2BPSM50U_A2FA5OCFa7n3)zZDU)zZ-)Py0QaP_A6eS&ZrcW&_^Rq>OMzSVvX+h+5
zjJL!{OG(MU!drZZmE1Vbfmo$0QabBd^qItU2KzCRrfZ6kAZLM;Q+jP&Qz#t=Z&Xd^
z+;~zD+P{b=n+M$61?)Bf$qB_>;aLflRl$`B#cx9ZywF}RY-%Zct$}l3^qLqOooofo
zxA#mFWEZAUq&|sErG89tmbgaI5R!2=>ATx2aPZjFSPXQanQOFvj3)YTtWye1tVI*U
zV^De>JQw9^Ef!;8$_``ZO-3hwyyzZvM<@y)ARMuK_oe%PZby6nmYh#1>M6%Gqt&Fg
z*$fLb{L!>T^5s67b>P<riPuK9t3+ijD-8$LYesz$^}oFgUP=@-P>Z`9)o^<TEonZo
z+a;`foIKOD^ZP>*-y#7ORtpg4y4G2;8ynt;B_Dzn_vgb%APY!DxQTu_#s6$$Pd24I
z()BL4ABWrSq$_ur{j1fkf7+|9=4GrQW99TKCkvTG1`)iG244a@NQjM|<S#7}9!IOa
z;r|Ru78;xa1#lcAIy^*sY|x2KN8Yl9keHx(2X&l)P4qqYtuOTtJ=R_t4uKG34>7Ot
z{jcRCK|<q0i{DRBJ!<MO_76bkxf0+{K#pMuHft%S_IF0Y)0x+!OODGQXGa*Gd^1KE
z{D{@yWE!Nu)bH;pwT587QA-g0;<1^=G<@!cxbg8S$*~a<N<+IZ=*!wAdhA=B3}FLl
zC;uHpvm|#ub`M{XT*Eu)KK|Vu9i)vM;L(zrq_2(nz5ZXIx7?xEZPymb>a@`*G>RPi
zV00STz045MJY*4(Y~$Kp<kNX)P(1>_I3xHo8mMZFU_fV#1Teg0?bIdr?k_AX6hn;i
z2Tvd(A$>|o0tpHE(6(F8_1pe_J~$X>dZBjW^v5y!w>JrLxU)K3SaN*_s|3(Aubx>a
zTd~P9SDyKJDBY?{B4glo_7Q=8-ISGMBnccJO&gp_Wrp65oOW;2@iemq@R#qDb~2i^
zDq4-=!;GeL)w}5jRr)WD-)i9}MX3}@Qbt`<#3|(el&pR`llnQK?MIG#_@*>3K8{97
zpSzPvy@eCRuz5HYke-kEPMvfnmrzeSw)PR83Ad+kw{V%C$MQ!X$A)+#LpXtQw{WlI
z;ExgXbVOb_?VgjMUB$yKhIL3>dQs|Po;RnzTS!5EKEt*hwuew?(z&l+u!!i&8maf(
zd<(&}Vr&>IwzK=WKk$A2cRjY7!^`h}`)}>+=)1bQ4%K`vSq##;aU%roLSj^EM+XA)
zf>Cuq|MvRtGM;>kACU_MVYA1x<J;6g^P26RSmr^3z~D=f^)v^N*AMDHG`mc*%0C6F
ztt;*3$TtBMOw2aPO%k1uknniTsy~xxbQa=$1;_+cpxnK$n7SS(h!SoF?}y!3#h2z+
zcoSDS4625JfX=_^=;>LDL`}=AZXE`Gz(=P~GQAZp#2HEPL#H>?Sj}<@lbGpDZ_wow
z0JyummoA67CJaB{jD0bEm=N7iR>vt8XovG;UHSzD`}aI=6M^4P<a5ZH+oo3y<)T!C
zKj2r<WH;1S<;j0wVsW<73EWX=Ydf3PwzQgweXqm#?&-oa<INAmhK!#V7I4*sdDoP_
zTbod#`B2yYTYgm`aE4^|^-M-#zT<M$l4W86L$y_^kkSzGxMV#Ye(>J-GPN5CwcCu<
zAY<vvIp+^3it*gZGA-weQ%iK$-Y;-Jab{RmXsgVKp>LiKBA0CC_n3&Eq+|V7N>vl)
zvK5;)^`NGaAcuhSLmg-JX5UhoZnewfMS>AhM$g|54<>P?EU66L3K>904G7l0O8!>E
zS%QL(o7>3TeC73lX6h9F1t*N<@nNd-a_5pCW1zmWZYvn$#$N<RpCw$ica_n{=KfUw
z8`l@-+y<caMtEB2O<{gV<~`@{zV#2w#^!fMct%D?*X+o70LteI<6cpL%%kA3S{k-U
zVu-rCKo>R0Z}Fz(z9nOv&rG4n$rm1x(XQ_>i`I6kIVk&+J<k6+Ps&#;VDoioq|^p*
zXRg^}$m)fpr58*3)r<4pmu#GulVD=+<3dO+eqk`Z1kvWh;iSXip17RtZ6}FIwQCzg
z^!y>6(tm!5jUSwOz&|cmt<c^ygRDnW!D3xq!c&BZjcoDgU<DamFbd1h&lK$+8{JZ9
zK8vmrK;gsGSzz1QesAzCgGrZ_U|_UEET;hN*MIV4rzg0&g~{{VIJiJZ5KAh;RD(GQ
zNI(<Py%IP(IXB$fjv&H2gy_~cB(@^&c^+<UuN)t(IKlc?X8qwr6+73b$&`a&$&m54
zE%c7B7(9Qkolx|F_P>-;%k}@TnU(C+9v_w&)ngvC*Zx*Tg1*SuVp-2)rsFlH6O(F)
z$L7UR$8HJ#qpFRB6?*GpWIg~4LWYkERV+&^(u54)JPC@zvyYzsM@BR)qjdYSdc393
zgxf}eXDy_bv2*tUSXl{=^&&jkjgm2U9Rlt-d}g_rcp$OzGz4Ktian~91I9l9CqJma
z;B=zzG<EC|7sUPRi-Xe)eOX87NiOt9P;emSN!0l7qniJs$p0008Gl5OLqsPyl#`Wc
zy|lCh4pS=vD$WvU0oj#zPfjK$JpQUHXw`R#PRgSSB;(}w*q#5^n`{v6yI93PhK3-H
zMi`ob;O0)BG?QSUGL9#N^6Sls(E~%e8<ytaZ4MbW{Qb%BWR`R+Pb0)}i_D2^2CTk_
zzlZd*y6|^wIx(lW$gV4Syw|OtvF>uA*zorcs$Fs7JNMo1Ou?sEjLf_l85uz)Y{<^E
zHa`4U2<T+8w;Z{=Q?EP~B6nMvHoqzaP~$KH->VROxcudPS66Hcyu=mf<r)~BBIItH
zCSN?eis-t?;(>f1su`N#am<~hPFy)f)f@K;?sZO4m_CyVgRZ&vYmax16_5%b?UuTT
zS*5$=R?ZE1aB9DREH|SB?9si*<Yk7(12^H08e8!Y+V8NCJa-7=QeSw0Gg=X93z9S*
z(`Gps0JNkLhx}*nP@!p>{7Xvt8?b*r0&Jkd>+6^GDjr$2H;<_3@r2wYmxoNV`sO>d
zJNy2eq7*HIL+gcl9w<QOTRTz#6)5I%(xr-2$@s@-Jv1@F1Q!}53e?dwc*ex{%RLXu
zEn#Qsl{(^{7-Q(&Jd)Xb5?Wq72)j~=g@>s4e5g88yZ@)1{V1XFSuh!4z+yRHOv
zaOf4AtBq~wyt}P0_|^PjJE~l6&rNcFe5ZyADXMyDEaFLF_f&xPMdS7kOfQQ3d_NUj
z>l`kS*iM6>HFw*zLoeF%U^GP#8P%N@92`8iJ&F$T0JFCo(u_(40;AAK#p4ByIN=@Z
zJLVRhQ~KlU(R1vEdn#j&<*-FYhm=#4m=JryOdUC7D03Pz4=JF7!v#iV_)Iz1s7h4j
zP--Hd-hK04;75p)A4na~9?RuuvAIBCyzmCh@QrMrPKExD-PJOetzYo5B_<{scW>=@
z9`E$R$~c~q)Gc-Vdu|Es>3T0NLS2;gjg+Uyx9^Mm3Z{$*uVRTaeNMKpvXF0fZGRy@
z1i6*7bvTGW)vWq*$>GvJxaLi|M6V|hA_WlI)JLKWV3;K?-OKXa&&sZ@cDEci&{qPF
zwx@M{t6qD&h+}GTm#EF$taT|Z(ks*}x{p_O+^Q%^mhhkf?{VQr$5{nrO-j2On5y@V
z652%aKm*<Dnb_IdlJ}LlaB?-T2L2e!yO)pv_s8ZhnP1?awf&*w#MqhGXh*aBMB&@S
zQd1mT=^!+7q0(?_B2^^(^uMoeoU|1j8U3fQn0B8bPiL^?zU2YDor)=+A)KMt8$<9@
zkZWSK=jL%$@V`9io`F1X5)|`h3ITqK5PD(l8PSN_+n61N@&>tm9=C`A%GVCYw3pQG
z=hY%^<=WScHhAEx1~0O%&=It@ftE_QEkZjlwm6@aR0jRM3PISi1)nT`s}LFMbuDEt
zE}mHvK%VA*9)wiIxl~oz6DYFT(=nlpLXj5d^}=`-n2z)ArCG6VobbaR1#kRdw*eLi
zERDKUN${%`xHCFWVpPKDsipUo%ei7*WrnT!45q+>gt&$^tR(?FsR@miofmmLemhtG
z2xLd_9Wmh7KVeuPoK9pK^0pU=n~{G@5#KO;Fz_=W*pGhjYVgQDL}L2^lZ{1x?o;|@
zzJrm8*RK)mF2e2|B2}a}1}sPoY&S!$;~R_+0Ptn-*!|u~ZJ_E52@ROs^kX;C<rnKB
z-#0f~F~j^%WrOC5D_`DsbiGk5zVkTLpUL9`!rVaK0E~?<tOf|pHZ16TYabLMZg-^k
zo4d!nsg|bHq`LdS>z>Pe29Ph{LAd!b8rgy+ck4+;K2aIkf}4CXJHA+VQDsAz9#(=f
zSeA$me*+Vt|73>M@AdX4uYCuWxkD<kDjUTa!GZ2nhk;9Y=r(Xuad^e^*cIt>Eg>f;
z^(x*q1&h&@dSnV#bocC1MAGkclx~rnz=6VRp{D<d!2tvv-$St714rg$1b5rxv5Lpi
zNibZx4_a*0VjCTNOAQ2Egu(qE=#1cxpdD1xUKKQ=J@ZiUH6Wr<`ehuwJa0b3ui7XP
zl7Be%zOE~=1&Famv!NEj&|NdF-T#tb<~k-8_s2A+dJ7|0$Fl0}{KF^ka%Eu6|62Og
zZq_pXk2@?Z7G6}Fjlvat62B;SDn;ML%95xZCX~nq=8nY=J`WBNUvJe|M3&cksRIbf
zl{!!YmS3;)$V{>jNMF#pA8jPHOvQU1?e)UsA1x~6JnLjr_>>)PU%zw8V0Ul2lG;ct
zX4`VQke~oo8iB&SvPuRjE(17Lb;iNF2<R*y6WK(Lmp9?~!Y?cgRFIB1A+G%%f62&4
zIw*^-c#&QxFeNq}OZ9@bM{M$!@ZBbkk9Gz>0a^qrY!gU2K`FH>D=UhHd%@rSSU#Gd
z+)2BdpsonP1|{D31exO52l@(Rajvzh<t=g67bxWO?W-lA|Cvg`ep?Rt)KU+3CTi^$
zmY_tULP7|=2sYOwX@4Lq6%Hq274X@mLh|R*ujS=n1Zi?~gv?#yH*1TWLmzLW7s^uK
z8`gScciL>@CLRBtO@qU+;vm#l_Gr(Z#iy@QukORfNrjY0y|6KVp0h){>Tk}ag(!qb
z?$7mb=Fp+5cq;a0;!eI1xIw`++ok#P^N&Q4ZAnNJ3(YHL!+5a2p9*`2Jk#Nv;>jLZ
zF&(X+3b>8suiLnti7kVRB*7BfLzduv=>;!G8Z_AlhMDd@osQ~VDxY8k=SJ;IkAu+(
z1*B9?gC%_o_Ng?!RqSs7hq{@f@xs1pt$FVAm84e)6Dhm6*wHfPhoaPe?;N-WsI9?Z
zv!gg{E4U9?DN;DGi&nrB`Eb<3!op$`sUd>lNh_R#;c(|im~2-Jmh2Z_J$0M(!cAq*
zuj17!wbtGQu#x0GP)o>xC&RKo)FLTZ;e#f77uyJA8x~~iOM}Xiows-nTs{Ge?wh@H
z@C4IaPwjDTt!C;gRl|eW3p4V_f|#Tvt<mTZb%0V^!pQ>al969qu(>k?!U<Dg|Dg8x
zz!KJ`7tO&8bnbJqOu3abaF}{{-@HDlylNWtc(w)#_cU1&34Q=7_reNCg=D<YYnJ+o
z>@z%psdGq~(=`o^YzFz>Jc1kuf61G+1P8(SCk=+$57-%wjX?oOEq`+p2JBrHh3lFo
zlX4ac9fRJ%+M})8B;{r$){IFY$;?6EB>$v5LduXXFfnD{<s>;g%!o0dJ={w=emd~=
zD<!ORJTBd?<LAcU21GHTi$B1fo`&3c$nS^ju288xm|H<cfGNV%Fui*Ru+4jhAQl*T
zC|+FPsxpqjK*q<OhIwC7xnTHWFNB~{;df$i?BMBrBVhAu<kh2mCq)HU#yjut(sU+>
z3H_RzdjVx<D)Q!z7d#L1mugtYzF2M3BUN3?N*z@2&e=h;Vs)}?fvJ`);a<qu<ZQ#D
znhvu9@^7iSf7$H*>J9v@5BH}l_peOoUrO|!)~~<4$oess<j=0YmFw}kr{EuDd3Cw>
IGDhD22UZ5$fB*mh
literal 0
HcmV?d00001
diff --git a/QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/docs/_static/basic.css b/QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/docs/_static/basic.css
new file mode 100644
index 0000000..e5179b7
--- /dev/null
+++ b/QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/docs/_static/basic.css
@@ -0,0 +1,925 @@
+/*
+ * basic.css
+ * ~~~~~~~~~
+ *
+ * Sphinx stylesheet -- basic theme.
+ *
+ * :copyright: Copyright 2007-2024 by the Sphinx team, see AUTHORS.
+ * :license: BSD, see LICENSE for details.
+ *
+ */
+
+/* -- main layout ----------------------------------------------------------- */
+
+div.clearer {
+ clear: both;
+}
+
+div.section::after {
+ display: block;
+ content: '';
+ clear: left;
+}
+
+/* -- relbar ---------------------------------------------------------------- */
+
+div.related {
+ width: 100%;
+ font-size: 90%;
+}
+
+div.related h3 {
+ display: none;
+}
+
+div.related ul {
+ margin: 0;
+ padding: 0 0 0 10px;
+ list-style: none;
+}
+
+div.related li {
+ display: inline;
+}
+
+div.related li.right {
+ float: right;
+ margin-right: 5px;
+}
+
+/* -- sidebar --------------------------------------------------------------- */
+
+div.sphinxsidebarwrapper {
+ padding: 10px 5px 0 10px;
+}
+
+div.sphinxsidebar {
+ float: left;
+ width: 230px;
+ margin-left: -100%;
+ font-size: 90%;
+ word-wrap: break-word;
+ overflow-wrap : break-word;
+}
+
+div.sphinxsidebar ul {
+ list-style: none;
+}
+
+div.sphinxsidebar ul ul,
+div.sphinxsidebar ul.want-points {
+ margin-left: 20px;
+ list-style: square;
+}
+
+div.sphinxsidebar ul ul {
+ margin-top: 0;
+ margin-bottom: 0;
+}
+
+div.sphinxsidebar form {
+ margin-top: 10px;
+}
+
+div.sphinxsidebar input {
+ border: 1px solid #98dbcc;
+ font-family: sans-serif;
+ font-size: 1em;
+}
+
+div.sphinxsidebar #searchbox form.search {
+ overflow: hidden;
+}
+
+div.sphinxsidebar #searchbox input[type="text"] {
+ float: left;
+ width: 80%;
+ padding: 0.25em;
+ box-sizing: border-box;
+}
+
+div.sphinxsidebar #searchbox input[type="submit"] {
+ float: left;
+ width: 20%;
+ border-left: none;
+ padding: 0.25em;
+ box-sizing: border-box;
+}
+
+
+img {
+ border: 0;
+ max-width: 100%;
+}
+
+/* -- search page ----------------------------------------------------------- */
+
+ul.search {
+ margin: 10px 0 0 20px;
+ padding: 0;
+}
+
+ul.search li {
+ padding: 5px 0 5px 20px;
+ background-image: url(file.png);
+ background-repeat: no-repeat;
+ background-position: 0 7px;
+}
+
+ul.search li a {
+ font-weight: bold;
+}
+
+ul.search li p.context {
+ color: #888;
+ margin: 2px 0 0 30px;
+ text-align: left;
+}
+
+ul.keywordmatches li.goodmatch a {
+ font-weight: bold;
+}
+
+/* -- index page ------------------------------------------------------------ */
+
+table.contentstable {
+ width: 90%;
+ margin-left: auto;
+ margin-right: auto;
+}
+
+table.contentstable p.biglink {
+ line-height: 150%;
+}
+
+a.biglink {
+ font-size: 1.3em;
+}
+
+span.linkdescr {
+ font-style: italic;
+ padding-top: 5px;
+ font-size: 90%;
+}
+
+/* -- general index --------------------------------------------------------- */
+
+table.indextable {
+ width: 100%;
+}
+
+table.indextable td {
+ text-align: left;
+ vertical-align: top;
+}
+
+table.indextable ul {
+ margin-top: 0;
+ margin-bottom: 0;
+ list-style-type: none;
+}
+
+table.indextable > tbody > tr > td > ul {
+ padding-left: 0em;
+}
+
+table.indextable tr.pcap {
+ height: 10px;
+}
+
+table.indextable tr.cap {
+ margin-top: 10px;
+ background-color: #f2f2f2;
+}
+
+img.toggler {
+ margin-right: 3px;
+ margin-top: 3px;
+ cursor: pointer;
+}
+
+div.modindex-jumpbox {
+ border-top: 1px solid #ddd;
+ border-bottom: 1px solid #ddd;
+ margin: 1em 0 1em 0;
+ padding: 0.4em;
+}
+
+div.genindex-jumpbox {
+ border-top: 1px solid #ddd;
+ border-bottom: 1px solid #ddd;
+ margin: 1em 0 1em 0;
+ padding: 0.4em;
+}
+
+/* -- domain module index --------------------------------------------------- */
+
+table.modindextable td {
+ padding: 2px;
+ border-collapse: collapse;
+}
+
+/* -- general body styles --------------------------------------------------- */
+
+div.body {
+ min-width: inherit;
+ max-width: 800px;
+}
+
+div.body p, div.body dd, div.body li, div.body blockquote {
+ -moz-hyphens: auto;
+ -ms-hyphens: auto;
+ -webkit-hyphens: auto;
+ hyphens: auto;
+}
+
+a.headerlink {
+ visibility: hidden;
+}
+
+a:visited {
+ color: #551A8B;
+}
+
+h1:hover > a.headerlink,
+h2:hover > a.headerlink,
+h3:hover > a.headerlink,
+h4:hover > a.headerlink,
+h5:hover > a.headerlink,
+h6:hover > a.headerlink,
+dt:hover > a.headerlink,
+caption:hover > a.headerlink,
+p.caption:hover > a.headerlink,
+div.code-block-caption:hover > a.headerlink {
+ visibility: visible;
+}
+
+div.body p.caption {
+ text-align: inherit;
+}
+
+div.body td {
+ text-align: left;
+}
+
+.first {
+ margin-top: 0 !important;
+}
+
+p.rubric {
+ margin-top: 30px;
+ font-weight: bold;
+}
+
+img.align-left, figure.align-left, .figure.align-left, object.align-left {
+ clear: left;
+ float: left;
+ margin-right: 1em;
+}
+
+img.align-right, figure.align-right, .figure.align-right, object.align-right {
+ clear: right;
+ float: right;
+ margin-left: 1em;
+}
+
+img.align-center, figure.align-center, .figure.align-center, object.align-center {
+ display: block;
+ margin-left: auto;
+ margin-right: auto;
+}
+
+img.align-default, figure.align-default, .figure.align-default {
+ display: block;
+ margin-left: auto;
+ margin-right: auto;
+}
+
+.align-left {
+ text-align: left;
+}
+
+.align-center {
+ text-align: center;
+}
+
+.align-default {
+ text-align: center;
+}
+
+.align-right {
+ text-align: right;
+}
+
+/* -- sidebars -------------------------------------------------------------- */
+
+div.sidebar,
+aside.sidebar {
+ margin: 0 0 0.5em 1em;
+ border: 1px solid #ddb;
+ padding: 7px;
+ background-color: #ffe;
+ width: 40%;
+ float: right;
+ clear: right;
+ overflow-x: auto;
+}
+
+p.sidebar-title {
+ font-weight: bold;
+}
+
+nav.contents,
+aside.topic,
+div.admonition, div.topic, blockquote {
+ clear: left;
+}
+
+/* -- topics ---------------------------------------------------------------- */
+
+nav.contents,
+aside.topic,
+div.topic {
+ border: 1px solid #ccc;
+ padding: 7px;
+ margin: 10px 0 10px 0;
+}
+
+p.topic-title {
+ font-size: 1.1em;
+ font-weight: bold;
+ margin-top: 10px;
+}
+
+/* -- admonitions ----------------------------------------------------------- */
+
+div.admonition {
+ margin-top: 10px;
+ margin-bottom: 10px;
+ padding: 7px;
+}
+
+div.admonition dt {
+ font-weight: bold;
+}
+
+p.admonition-title {
+ margin: 0px 10px 5px 0px;
+ font-weight: bold;
+}
+
+div.body p.centered {
+ text-align: center;
+ margin-top: 25px;
+}
+
+/* -- content of sidebars/topics/admonitions -------------------------------- */
+
+div.sidebar > :last-child,
+aside.sidebar > :last-child,
+nav.contents > :last-child,
+aside.topic > :last-child,
+div.topic > :last-child,
+div.admonition > :last-child {
+ margin-bottom: 0;
+}
+
+div.sidebar::after,
+aside.sidebar::after,
+nav.contents::after,
+aside.topic::after,
+div.topic::after,
+div.admonition::after,
+blockquote::after {
+ display: block;
+ content: '';
+ clear: both;
+}
+
+/* -- tables ---------------------------------------------------------------- */
+
+table.docutils {
+ margin-top: 10px;
+ margin-bottom: 10px;
+ border: 0;
+ border-collapse: collapse;
+}
+
+table.align-center {
+ margin-left: auto;
+ margin-right: auto;
+}
+
+table.align-default {
+ margin-left: auto;
+ margin-right: auto;
+}
+
+table caption span.caption-number {
+ font-style: italic;
+}
+
+table caption span.caption-text {
+}
+
+table.docutils td, table.docutils th {
+ padding: 1px 8px 1px 5px;
+ border-top: 0;
+ border-left: 0;
+ border-right: 0;
+ border-bottom: 1px solid #aaa;
+}
+
+th {
+ text-align: left;
+ padding-right: 5px;
+}
+
+table.citation {
+ border-left: solid 1px gray;
+ margin-left: 1px;
+}
+
+table.citation td {
+ border-bottom: none;
+}
+
+th > :first-child,
+td > :first-child {
+ margin-top: 0px;
+}
+
+th > :last-child,
+td > :last-child {
+ margin-bottom: 0px;
+}
+
+/* -- figures --------------------------------------------------------------- */
+
+div.figure, figure {
+ margin: 0.5em;
+ padding: 0.5em;
+}
+
+div.figure p.caption, figcaption {
+ padding: 0.3em;
+}
+
+div.figure p.caption span.caption-number,
+figcaption span.caption-number {
+ font-style: italic;
+}
+
+div.figure p.caption span.caption-text,
+figcaption span.caption-text {
+}
+
+/* -- field list styles ----------------------------------------------------- */
+
+table.field-list td, table.field-list th {
+ border: 0 !important;
+}
+
+.field-list ul {
+ margin: 0;
+ padding-left: 1em;
+}
+
+.field-list p {
+ margin: 0;
+}
+
+.field-name {
+ -moz-hyphens: manual;
+ -ms-hyphens: manual;
+ -webkit-hyphens: manual;
+ hyphens: manual;
+}
+
+/* -- hlist styles ---------------------------------------------------------- */
+
+table.hlist {
+ margin: 1em 0;
+}
+
+table.hlist td {
+ vertical-align: top;
+}
+
+/* -- object description styles --------------------------------------------- */
+
+.sig {
+ font-family: 'Consolas', 'Menlo', 'DejaVu Sans Mono', 'Bitstream Vera Sans Mono', monospace;
+}
+
+.sig-name, code.descname {
+ background-color: transparent;
+ font-weight: bold;
+}
+
+.sig-name {
+ font-size: 1.1em;
+}
+
+code.descname {
+ font-size: 1.2em;
+}
+
+.sig-prename, code.descclassname {
+ background-color: transparent;
+}
+
+.optional {
+ font-size: 1.3em;
+}
+
+.sig-paren {
+ font-size: larger;
+}
+
+.sig-param.n {
+ font-style: italic;
+}
+
+/* C++ specific styling */
+
+.sig-inline.c-texpr,
+.sig-inline.cpp-texpr {
+ font-family: unset;
+}
+
+.sig.c .k, .sig.c .kt,
+.sig.cpp .k, .sig.cpp .kt {
+ color: #0033B3;
+}
+
+.sig.c .m,
+.sig.cpp .m {
+ color: #1750EB;
+}
+
+.sig.c .s, .sig.c .sc,
+.sig.cpp .s, .sig.cpp .sc {
+ color: #067D17;
+}
+
+
+/* -- other body styles ----------------------------------------------------- */
+
+ol.arabic {
+ list-style: decimal;
+}
+
+ol.loweralpha {
+ list-style: lower-alpha;
+}
+
+ol.upperalpha {
+ list-style: upper-alpha;
+}
+
+ol.lowerroman {
+ list-style: lower-roman;
+}
+
+ol.upperroman {
+ list-style: upper-roman;
+}
+
+:not(li) > ol > li:first-child > :first-child,
+:not(li) > ul > li:first-child > :first-child {
+ margin-top: 0px;
+}
+
+:not(li) > ol > li:last-child > :last-child,
+:not(li) > ul > li:last-child > :last-child {
+ margin-bottom: 0px;
+}
+
+ol.simple ol p,
+ol.simple ul p,
+ul.simple ol p,
+ul.simple ul p {
+ margin-top: 0;
+}
+
+ol.simple > li:not(:first-child) > p,
+ul.simple > li:not(:first-child) > p {
+ margin-top: 0;
+}
+
+ol.simple p,
+ul.simple p {
+ margin-bottom: 0;
+}
+
+aside.footnote > span,
+div.citation > span {
+ float: left;
+}
+aside.footnote > span:last-of-type,
+div.citation > span:last-of-type {
+ padding-right: 0.5em;
+}
+aside.footnote > p {
+ margin-left: 2em;
+}
+div.citation > p {
+ margin-left: 4em;
+}
+aside.footnote > p:last-of-type,
+div.citation > p:last-of-type {
+ margin-bottom: 0em;
+}
+aside.footnote > p:last-of-type:after,
+div.citation > p:last-of-type:after {
+ content: "";
+ clear: both;
+}
+
+dl.field-list {
+ display: grid;
+ grid-template-columns: fit-content(30%) auto;
+}
+
+dl.field-list > dt {
+ font-weight: bold;
+ word-break: break-word;
+ padding-left: 0.5em;
+ padding-right: 5px;
+}
+
+dl.field-list > dd {
+ padding-left: 0.5em;
+ margin-top: 0em;
+ margin-left: 0em;
+ margin-bottom: 0em;
+}
+
+dl {
+ margin-bottom: 15px;
+}
+
+dd > :first-child {
+ margin-top: 0px;
+}
+
+dd ul, dd table {
+ margin-bottom: 10px;
+}
+
+dd {
+ margin-top: 3px;
+ margin-bottom: 10px;
+ margin-left: 30px;
+}
+
+.sig dd {
+ margin-top: 0px;
+ margin-bottom: 0px;
+}
+
+.sig dl {
+ margin-top: 0px;
+ margin-bottom: 0px;
+}
+
+dl > dd:last-child,
+dl > dd:last-child > :last-child {
+ margin-bottom: 0;
+}
+
+dt:target, span.highlighted {
+ background-color: #fbe54e;
+}
+
+rect.highlighted {
+ fill: #fbe54e;
+}
+
+dl.glossary dt {
+ font-weight: bold;
+ font-size: 1.1em;
+}
+
+.versionmodified {
+ font-style: italic;
+}
+
+.system-message {
+ background-color: #fda;
+ padding: 5px;
+ border: 3px solid red;
+}
+
+.footnote:target {
+ background-color: #ffa;
+}
+
+.line-block {
+ display: block;
+ margin-top: 1em;
+ margin-bottom: 1em;
+}
+
+.line-block .line-block {
+ margin-top: 0;
+ margin-bottom: 0;
+ margin-left: 1.5em;
+}
+
+.guilabel, .menuselection {
+ font-family: sans-serif;
+}
+
+.accelerator {
+ text-decoration: underline;
+}
+
+.classifier {
+ font-style: oblique;
+}
+
+.classifier:before {
+ font-style: normal;
+ margin: 0 0.5em;
+ content: ":";
+ display: inline-block;
+}
+
+abbr, acronym {
+ border-bottom: dotted 1px;
+ cursor: help;
+}
+
+.translated {
+ background-color: rgba(207, 255, 207, 0.2)
+}
+
+.untranslated {
+ background-color: rgba(255, 207, 207, 0.2)
+}
+
+/* -- code displays --------------------------------------------------------- */
+
+pre {
+ overflow: auto;
+ overflow-y: hidden; /* fixes display issues on Chrome browsers */
+}
+
+pre, div[class*="highlight-"] {
+ clear: both;
+}
+
+span.pre {
+ -moz-hyphens: none;
+ -ms-hyphens: none;
+ -webkit-hyphens: none;
+ hyphens: none;
+ white-space: nowrap;
+}
+
+div[class*="highlight-"] {
+ margin: 1em 0;
+}
+
+td.linenos pre {
+ border: 0;
+ background-color: transparent;
+ color: #aaa;
+}
+
+table.highlighttable {
+ display: block;
+}
+
+table.highlighttable tbody {
+ display: block;
+}
+
+table.highlighttable tr {
+ display: flex;
+}
+
+table.highlighttable td {
+ margin: 0;
+ padding: 0;
+}
+
+table.highlighttable td.linenos {
+ padding-right: 0.5em;
+}
+
+table.highlighttable td.code {
+ flex: 1;
+ overflow: hidden;
+}
+
+.highlight .hll {
+ display: block;
+}
+
+div.highlight pre,
+table.highlighttable pre {
+ margin: 0;
+}
+
+div.code-block-caption + div {
+ margin-top: 0;
+}
+
+div.code-block-caption {
+ margin-top: 1em;
+ padding: 2px 5px;
+ font-size: small;
+}
+
+div.code-block-caption code {
+ background-color: transparent;
+}
+
+table.highlighttable td.linenos,
+span.linenos,
+div.highlight span.gp { /* gp: Generic.Prompt */
+ user-select: none;
+ -webkit-user-select: text; /* Safari fallback only */
+ -webkit-user-select: none; /* Chrome/Safari */
+ -moz-user-select: none; /* Firefox */
+ -ms-user-select: none; /* IE10+ */
+}
+
+div.code-block-caption span.caption-number {
+ padding: 0.1em 0.3em;
+ font-style: italic;
+}
+
+div.code-block-caption span.caption-text {
+}
+
+div.literal-block-wrapper {
+ margin: 1em 0;
+}
+
+code.xref, a code {
+ background-color: transparent;
+ font-weight: bold;
+}
+
+h1 code, h2 code, h3 code, h4 code, h5 code, h6 code {
+ background-color: transparent;
+}
+
+.viewcode-link {
+ float: right;
+}
+
+.viewcode-back {
+ float: right;
+ font-family: sans-serif;
+}
+
+div.viewcode-block:target {
+ margin: -1px -10px;
+ padding: 0 10px;
+}
+
+/* -- math display ---------------------------------------------------------- */
+
+img.math {
+ vertical-align: middle;
+}
+
+div.body div.math p {
+ text-align: center;
+}
+
+span.eqno {
+ float: right;
+}
+
+span.eqno a.headerlink {
+ position: absolute;
+ z-index: 1;
+}
+
+div.math:hover a.headerlink {
+ visibility: visible;
+}
+
+/* -- printout stylesheet --------------------------------------------------- */
+
+@media print {
+ div.document,
+ div.documentwrapper,
+ div.bodywrapper {
+ margin: 0 !important;
+ width: 100%;
+ }
+
+ div.sphinxsidebar,
+ div.related,
+ div.footer,
+ #top-link {
+ display: none;
+ }
+}
\ No newline at end of file
diff --git a/QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/docs/_static/custom.css b/QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/docs/_static/custom.css
new file mode 100644
index 0000000..2a924f1
--- /dev/null
+++ b/QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/docs/_static/custom.css
@@ -0,0 +1 @@
+/* This file intentionally left blank. */
diff --git a/QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/docs/_static/doctools.js b/QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/docs/_static/doctools.js
new file mode 100644
index 0000000..4d67807
--- /dev/null
+++ b/QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/docs/_static/doctools.js
@@ -0,0 +1,156 @@
+/*
+ * doctools.js
+ * ~~~~~~~~~~~
+ *
+ * Base JavaScript utilities for all Sphinx HTML documentation.
+ *
+ * :copyright: Copyright 2007-2024 by the Sphinx team, see AUTHORS.
+ * :license: BSD, see LICENSE for details.
+ *
+ */
+"use strict";
+
+const BLACKLISTED_KEY_CONTROL_ELEMENTS = new Set([
+ "TEXTAREA",
+ "INPUT",
+ "SELECT",
+ "BUTTON",
+]);
+
+const _ready = (callback) => {
+ if (document.readyState !== "loading") {
+ callback();
+ } else {
+ document.addEventListener("DOMContentLoaded", callback);
+ }
+};
+
+/**
+ * Small JavaScript module for the documentation.
+ */
+const Documentation = {
+ init: () => {
+ Documentation.initDomainIndexTable();
+ Documentation.initOnKeyListeners();
+ },
+
+ /**
+ * i18n support
+ */
+ TRANSLATIONS: {},
+ PLURAL_EXPR: (n) => (n === 1 ? 0 : 1),
+ LOCALE: "unknown",
+
+ // gettext and ngettext don't access this so that the functions
+ // can safely bound to a different name (_ = Documentation.gettext)
+ gettext: (string) => {
+ const translated = Documentation.TRANSLATIONS[string];
+ switch (typeof translated) {
+ case "undefined":
+ return string; // no translation
+ case "string":
+ return translated; // translation exists
+ default:
+ return translated[0]; // (singular, plural) translation tuple exists
+ }
+ },
+
+ ngettext: (singular, plural, n) => {
+ const translated = Documentation.TRANSLATIONS[singular];
+ if (typeof translated !== "undefined")
+ return translated[Documentation.PLURAL_EXPR(n)];
+ return n === 1 ? singular : plural;
+ },
+
+ addTranslations: (catalog) => {
+ Object.assign(Documentation.TRANSLATIONS, catalog.messages);
+ Documentation.PLURAL_EXPR = new Function(
+ "n",
+ `return (${catalog.plural_expr})`
+ );
+ Documentation.LOCALE = catalog.locale;
+ },
+
+ /**
+ * helper function to focus on search bar
+ */
+ focusSearchBar: () => {
+ document.querySelectorAll("input[name=q]")[0]?.focus();
+ },
+
+ /**
+ * Initialise the domain index toggle buttons
+ */
+ initDomainIndexTable: () => {
+ const toggler = (el) => {
+ const idNumber = el.id.substr(7);
+ const toggledRows = document.querySelectorAll(`tr.cg-${idNumber}`);
+ if (el.src.substr(-9) === "minus.png") {
+ el.src = `${el.src.substr(0, el.src.length - 9)}plus.png`;
+ toggledRows.forEach((el) => (el.style.display = "none"));
+ } else {
+ el.src = `${el.src.substr(0, el.src.length - 8)}minus.png`;
+ toggledRows.forEach((el) => (el.style.display = ""));
+ }
+ };
+
+ const togglerElements = document.querySelectorAll("img.toggler");
+ togglerElements.forEach((el) =>
+ el.addEventListener("click", (event) => toggler(event.currentTarget))
+ );
+ togglerElements.forEach((el) => (el.style.display = ""));
+ if (DOCUMENTATION_OPTIONS.COLLAPSE_INDEX) togglerElements.forEach(toggler);
+ },
+
+ initOnKeyListeners: () => {
+ // only install a listener if it is really needed
+ if (
+ !DOCUMENTATION_OPTIONS.NAVIGATION_WITH_KEYS &&
+ !DOCUMENTATION_OPTIONS.ENABLE_SEARCH_SHORTCUTS
+ )
+ return;
+
+ document.addEventListener("keydown", (event) => {
+ // bail for input elements
+ if (BLACKLISTED_KEY_CONTROL_ELEMENTS.has(document.activeElement.tagName)) return;
+ // bail with special keys
+ if (event.altKey || event.ctrlKey || event.metaKey) return;
+
+ if (!event.shiftKey) {
+ switch (event.key) {
+ case "ArrowLeft":
+ if (!DOCUMENTATION_OPTIONS.NAVIGATION_WITH_KEYS) break;
+
+ const prevLink = document.querySelector('link[rel="prev"]');
+ if (prevLink && prevLink.href) {
+ window.location.href = prevLink.href;
+ event.preventDefault();
+ }
+ break;
+ case "ArrowRight":
+ if (!DOCUMENTATION_OPTIONS.NAVIGATION_WITH_KEYS) break;
+
+ const nextLink = document.querySelector('link[rel="next"]');
+ if (nextLink && nextLink.href) {
+ window.location.href = nextLink.href;
+ event.preventDefault();
+ }
+ break;
+ }
+ }
+
+ // some keyboard layouts may need Shift to get /
+ switch (event.key) {
+ case "/":
+ if (!DOCUMENTATION_OPTIONS.ENABLE_SEARCH_SHORTCUTS) break;
+ Documentation.focusSearchBar();
+ event.preventDefault();
+ }
+ });
+ },
+};
+
+// quick alias for translations
+const _ = Documentation.gettext;
+
+_ready(Documentation.init);
diff --git a/QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/docs/_static/documentation_options.js b/QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/docs/_static/documentation_options.js
new file mode 100644
index 0000000..7e4c114
--- /dev/null
+++ b/QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/docs/_static/documentation_options.js
@@ -0,0 +1,13 @@
+const DOCUMENTATION_OPTIONS = {
+ VERSION: '',
+ LANGUAGE: 'en',
+ COLLAPSE_INDEX: false,
+ BUILDER: 'html',
+ FILE_SUFFIX: '.html',
+ LINK_SUFFIX: '.html',
+ HAS_SOURCE: true,
+ SOURCELINK_SUFFIX: '.txt',
+ NAVIGATION_WITH_KEYS: false,
+ SHOW_SEARCH_SUMMARY: true,
+ ENABLE_SEARCH_SHORTCUTS: true,
+};
\ No newline at end of file
diff --git a/QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/docs/_static/file.png b/QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/docs/_static/file.png
new file mode 100644
index 0000000000000000000000000000000000000000..a858a410e4faa62ce324d814e4b816fff83a6fb3
GIT binary patch
literal 286
zcmV+(0pb3MP)<h;3K|Lk000e1NJLTq000mG000mO1^@s6AM^iV0002xNkl<Zcmb`G
zgHi?o6ovOGdxdP*AltSE*&JruJwUGI3!FN?xxO>s`hMrGg#P~ix$^RISR_I47Y|r1
z_CyJOe}D1){SET-^Amu_i71Lt6eYfZjRyw@I6OQAIXXHD<M{a4P!N^sPbQKi=?mBx
zoos%BSoiGXjr-;%$QixXMOVNSUNp6L0a1Oz&cgu)wqE?07u5I7qrQIu4Fij)Y3c&0
z@0u_#NH6I?Mk(n;dT}d~^J<WkTLqp|RW-hV56tKpXqu)k@V{?amI+5DOlEU@funz+
kySsbM>fiX^GbOlHe=Ae4>0m)d(f|Me07*qoM6N<$f}vM^LjV8(
literal 0
HcmV?d00001
diff --git a/QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/docs/_static/language_data.js b/QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/docs/_static/language_data.js
new file mode 100644
index 0000000..367b8ed
--- /dev/null
+++ b/QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/docs/_static/language_data.js
@@ -0,0 +1,199 @@
+/*
+ * language_data.js
+ * ~~~~~~~~~~~~~~~~
+ *
+ * This script contains the language-specific data used by searchtools.js,
+ * namely the list of stopwords, stemmer, scorer and splitter.
+ *
+ * :copyright: Copyright 2007-2024 by the Sphinx team, see AUTHORS.
+ * :license: BSD, see LICENSE for details.
+ *
+ */
+
+var stopwords = ["a", "and", "are", "as", "at", "be", "but", "by", "for", "if", "in", "into", "is", "it", "near", "no", "not", "of", "on", "or", "such", "that", "the", "their", "then", "there", "these", "they", "this", "to", "was", "will", "with"];
+
+
+/* Non-minified version is copied as a separate JS file, if available */
+
+/**
+ * Porter Stemmer
+ */
+var Stemmer = function() {
+
+ var step2list = {
+ ational: 'ate',
+ tional: 'tion',
+ enci: 'ence',
+ anci: 'ance',
+ izer: 'ize',
+ bli: 'ble',
+ alli: 'al',
+ entli: 'ent',
+ eli: 'e',
+ ousli: 'ous',
+ ization: 'ize',
+ ation: 'ate',
+ ator: 'ate',
+ alism: 'al',
+ iveness: 'ive',
+ fulness: 'ful',
+ ousness: 'ous',
+ aliti: 'al',
+ iviti: 'ive',
+ biliti: 'ble',
+ logi: 'log'
+ };
+
+ var step3list = {
+ icate: 'ic',
+ ative: '',
+ alize: 'al',
+ iciti: 'ic',
+ ical: 'ic',
+ ful: '',
+ ness: ''
+ };
+
+ var c = "[^aeiou]"; // consonant
+ var v = "[aeiouy]"; // vowel
+ var C = c + "[^aeiouy]*"; // consonant sequence
+ var V = v + "[aeiou]*"; // vowel sequence
+
+ var mgr0 = "^(" + C + ")?" + V + C; // [C]VC... is m>0
+ var meq1 = "^(" + C + ")?" + V + C + "(" + V + ")?$"; // [C]VC[V] is m=1
+ var mgr1 = "^(" + C + ")?" + V + C + V + C; // [C]VCVC... is m>1
+ var s_v = "^(" + C + ")?" + v; // vowel in stem
+
+ this.stemWord = function (w) {
+ var stem;
+ var suffix;
+ var firstch;
+ var origword = w;
+
+ if (w.length < 3)
+ return w;
+
+ var re;
+ var re2;
+ var re3;
+ var re4;
+
+ firstch = w.substr(0,1);
+ if (firstch == "y")
+ w = firstch.toUpperCase() + w.substr(1);
+
+ // Step 1a
+ re = /^(.+?)(ss|i)es$/;
+ re2 = /^(.+?)([^s])s$/;
+
+ if (re.test(w))
+ w = w.replace(re,"$1$2");
+ else if (re2.test(w))
+ w = w.replace(re2,"$1$2");
+
+ // Step 1b
+ re = /^(.+?)eed$/;
+ re2 = /^(.+?)(ed|ing)$/;
+ if (re.test(w)) {
+ var fp = re.exec(w);
+ re = new RegExp(mgr0);
+ if (re.test(fp[1])) {
+ re = /.$/;
+ w = w.replace(re,"");
+ }
+ }
+ else if (re2.test(w)) {
+ var fp = re2.exec(w);
+ stem = fp[1];
+ re2 = new RegExp(s_v);
+ if (re2.test(stem)) {
+ w = stem;
+ re2 = /(at|bl|iz)$/;
+ re3 = new RegExp("([^aeiouylsz])\\1$");
+ re4 = new RegExp("^" + C + v + "[^aeiouwxy]$");
+ if (re2.test(w))
+ w = w + "e";
+ else if (re3.test(w)) {
+ re = /.$/;
+ w = w.replace(re,"");
+ }
+ else if (re4.test(w))
+ w = w + "e";
+ }
+ }
+
+ // Step 1c
+ re = /^(.+?)y$/;
+ if (re.test(w)) {
+ var fp = re.exec(w);
+ stem = fp[1];
+ re = new RegExp(s_v);
+ if (re.test(stem))
+ w = stem + "i";
+ }
+
+ // Step 2
+ re = /^(.+?)(ational|tional|enci|anci|izer|bli|alli|entli|eli|ousli|ization|ation|ator|alism|iveness|fulness|ousness|aliti|iviti|biliti|logi)$/;
+ if (re.test(w)) {
+ var fp = re.exec(w);
+ stem = fp[1];
+ suffix = fp[2];
+ re = new RegExp(mgr0);
+ if (re.test(stem))
+ w = stem + step2list[suffix];
+ }
+
+ // Step 3
+ re = /^(.+?)(icate|ative|alize|iciti|ical|ful|ness)$/;
+ if (re.test(w)) {
+ var fp = re.exec(w);
+ stem = fp[1];
+ suffix = fp[2];
+ re = new RegExp(mgr0);
+ if (re.test(stem))
+ w = stem + step3list[suffix];
+ }
+
+ // Step 4
+ re = /^(.+?)(al|ance|ence|er|ic|able|ible|ant|ement|ment|ent|ou|ism|ate|iti|ous|ive|ize)$/;
+ re2 = /^(.+?)(s|t)(ion)$/;
+ if (re.test(w)) {
+ var fp = re.exec(w);
+ stem = fp[1];
+ re = new RegExp(mgr1);
+ if (re.test(stem))
+ w = stem;
+ }
+ else if (re2.test(w)) {
+ var fp = re2.exec(w);
+ stem = fp[1] + fp[2];
+ re2 = new RegExp(mgr1);
+ if (re2.test(stem))
+ w = stem;
+ }
+
+ // Step 5
+ re = /^(.+?)e$/;
+ if (re.test(w)) {
+ var fp = re.exec(w);
+ stem = fp[1];
+ re = new RegExp(mgr1);
+ re2 = new RegExp(meq1);
+ re3 = new RegExp("^" + C + v + "[^aeiouwxy]$");
+ if (re.test(stem) || (re2.test(stem) && !(re3.test(stem))))
+ w = stem;
+ }
+ re = /ll$/;
+ re2 = new RegExp(mgr1);
+ if (re.test(w) && re2.test(w)) {
+ re = /.$/;
+ w = w.replace(re,"");
+ }
+
+ // and turn initial Y back to y
+ if (firstch == "y")
+ w = firstch.toLowerCase() + w.substr(1);
+ return w;
+ }
+}
+
diff --git a/QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/docs/_static/minus.png b/QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/docs/_static/minus.png
new file mode 100644
index 0000000000000000000000000000000000000000..d96755fdaf8bb2214971e0db9c1fd3077d7c419d
GIT binary patch
literal 90
zcmeAS@N?(olHy`uVBq!ia0vp^+#t*WBp7;*Yy1LIik>cxAr*|t7R?Mi>2?kWtu=nj
kDsEF_5m^0CR;1wuP-*O&G^0G}KYk!hp00i_>zopr08q^qX#fBK
literal 0
HcmV?d00001
diff --git a/QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/docs/_static/plus.png b/QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/docs/_static/plus.png
new file mode 100644
index 0000000000000000000000000000000000000000..7107cec93a979b9a5f64843235a16651d563ce2d
GIT binary patch
literal 90
zcmeAS@N?(olHy`uVBq!ia0vp^+#t*WBp7;*Yy1LIik>cxAr*|t7R?Mi>2?kWtu>-2
m3q%Vub%g%s<8sJhVPMczOq}xhg9DJoz~JfX=d#Wzp$Pyb1r*Kz
literal 0
HcmV?d00001
diff --git a/QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/docs/_static/pygments.css b/QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/docs/_static/pygments.css
new file mode 100644
index 0000000..07454c6
--- /dev/null
+++ b/QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/docs/_static/pygments.css
@@ -0,0 +1,83 @@
+pre { line-height: 125%; }
+td.linenos .normal { color: inherit; background-color: transparent; padding-left: 5px; padding-right: 5px; }
+span.linenos { color: inherit; background-color: transparent; padding-left: 5px; padding-right: 5px; }
+td.linenos .special { color: #000000; background-color: #ffffc0; padding-left: 5px; padding-right: 5px; }
+span.linenos.special { color: #000000; background-color: #ffffc0; padding-left: 5px; padding-right: 5px; }
+.highlight .hll { background-color: #ffffcc }
+.highlight { background: #f8f8f8; }
+.highlight .c { color: #8f5902; font-style: italic } /* Comment */
+.highlight .err { color: #a40000; border: 1px solid #ef2929 } /* Error */
+.highlight .g { color: #000000 } /* Generic */
+.highlight .k { color: #004461; font-weight: bold } /* Keyword */
+.highlight .l { color: #000000 } /* Literal */
+.highlight .n { color: #000000 } /* Name */
+.highlight .o { color: #582800 } /* Operator */
+.highlight .x { color: #000000 } /* Other */
+.highlight .p { color: #000000; font-weight: bold } /* Punctuation */
+.highlight .ch { color: #8f5902; font-style: italic } /* Comment.Hashbang */
+.highlight .cm { color: #8f5902; font-style: italic } /* Comment.Multiline */
+.highlight .cp { color: #8f5902 } /* Comment.Preproc */
+.highlight .cpf { color: #8f5902; font-style: italic } /* Comment.PreprocFile */
+.highlight .c1 { color: #8f5902; font-style: italic } /* Comment.Single */
+.highlight .cs { color: #8f5902; font-style: italic } /* Comment.Special */
+.highlight .gd { color: #a40000 } /* Generic.Deleted */
+.highlight .ge { color: #000000; font-style: italic } /* Generic.Emph */
+.highlight .gr { color: #ef2929 } /* Generic.Error */
+.highlight .gh { color: #000080; font-weight: bold } /* Generic.Heading */
+.highlight .gi { color: #00A000 } /* Generic.Inserted */
+.highlight .go { color: #888888 } /* Generic.Output */
+.highlight .gp { color: #745334 } /* Generic.Prompt */
+.highlight .gs { color: #000000; font-weight: bold } /* Generic.Strong */
+.highlight .gu { color: #800080; font-weight: bold } /* Generic.Subheading */
+.highlight .gt { color: #a40000; font-weight: bold } /* Generic.Traceback */
+.highlight .kc { color: #004461; font-weight: bold } /* Keyword.Constant */
+.highlight .kd { color: #004461; font-weight: bold } /* Keyword.Declaration */
+.highlight .kn { color: #004461; font-weight: bold } /* Keyword.Namespace */
+.highlight .kp { color: #004461; font-weight: bold } /* Keyword.Pseudo */
+.highlight .kr { color: #004461; font-weight: bold } /* Keyword.Reserved */
+.highlight .kt { color: #004461; font-weight: bold } /* Keyword.Type */
+.highlight .ld { color: #000000 } /* Literal.Date */
+.highlight .m { color: #990000 } /* Literal.Number */
+.highlight .s { color: #4e9a06 } /* Literal.String */
+.highlight .na { color: #c4a000 } /* Name.Attribute */
+.highlight .nb { color: #004461 } /* Name.Builtin */
+.highlight .nc { color: #000000 } /* Name.Class */
+.highlight .no { color: #000000 } /* Name.Constant */
+.highlight .nd { color: #888888 } /* Name.Decorator */
+.highlight .ni { color: #ce5c00 } /* Name.Entity */
+.highlight .ne { color: #cc0000; font-weight: bold } /* Name.Exception */
+.highlight .nf { color: #000000 } /* Name.Function */
+.highlight .nl { color: #f57900 } /* Name.Label */
+.highlight .nn { color: #000000 } /* Name.Namespace */
+.highlight .nx { color: #000000 } /* Name.Other */
+.highlight .py { color: #000000 } /* Name.Property */
+.highlight .nt { color: #004461; font-weight: bold } /* Name.Tag */
+.highlight .nv { color: #000000 } /* Name.Variable */
+.highlight .ow { color: #004461; font-weight: bold } /* Operator.Word */
+.highlight .pm { color: #000000; font-weight: bold } /* Punctuation.Marker */
+.highlight .w { color: #f8f8f8 } /* Text.Whitespace */
+.highlight .mb { color: #990000 } /* Literal.Number.Bin */
+.highlight .mf { color: #990000 } /* Literal.Number.Float */
+.highlight .mh { color: #990000 } /* Literal.Number.Hex */
+.highlight .mi { color: #990000 } /* Literal.Number.Integer */
+.highlight .mo { color: #990000 } /* Literal.Number.Oct */
+.highlight .sa { color: #4e9a06 } /* Literal.String.Affix */
+.highlight .sb { color: #4e9a06 } /* Literal.String.Backtick */
+.highlight .sc { color: #4e9a06 } /* Literal.String.Char */
+.highlight .dl { color: #4e9a06 } /* Literal.String.Delimiter */
+.highlight .sd { color: #8f5902; font-style: italic } /* Literal.String.Doc */
+.highlight .s2 { color: #4e9a06 } /* Literal.String.Double */
+.highlight .se { color: #4e9a06 } /* Literal.String.Escape */
+.highlight .sh { color: #4e9a06 } /* Literal.String.Heredoc */
+.highlight .si { color: #4e9a06 } /* Literal.String.Interpol */
+.highlight .sx { color: #4e9a06 } /* Literal.String.Other */
+.highlight .sr { color: #4e9a06 } /* Literal.String.Regex */
+.highlight .s1 { color: #4e9a06 } /* Literal.String.Single */
+.highlight .ss { color: #4e9a06 } /* Literal.String.Symbol */
+.highlight .bp { color: #3465a4 } /* Name.Builtin.Pseudo */
+.highlight .fm { color: #000000 } /* Name.Function.Magic */
+.highlight .vc { color: #000000 } /* Name.Variable.Class */
+.highlight .vg { color: #000000 } /* Name.Variable.Global */
+.highlight .vi { color: #000000 } /* Name.Variable.Instance */
+.highlight .vm { color: #000000 } /* Name.Variable.Magic */
+.highlight .il { color: #990000 } /* Literal.Number.Integer.Long */
\ No newline at end of file
diff --git a/QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/docs/_static/searchtools.js b/QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/docs/_static/searchtools.js
new file mode 100644
index 0000000..92da3f8
--- /dev/null
+++ b/QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/docs/_static/searchtools.js
@@ -0,0 +1,619 @@
+/*
+ * searchtools.js
+ * ~~~~~~~~~~~~~~~~
+ *
+ * Sphinx JavaScript utilities for the full-text search.
+ *
+ * :copyright: Copyright 2007-2024 by the Sphinx team, see AUTHORS.
+ * :license: BSD, see LICENSE for details.
+ *
+ */
+"use strict";
+
+/**
+ * Simple result scoring code.
+ */
+if (typeof Scorer === "undefined") {
+ var Scorer = {
+ // Implement the following function to further tweak the score for each result
+ // The function takes a result array [docname, title, anchor, descr, score, filename]
+ // and returns the new score.
+ /*
+ score: result => {
+ const [docname, title, anchor, descr, score, filename] = result
+ return score
+ },
+ */
+
+ // query matches the full name of an object
+ objNameMatch: 11,
+ // or matches in the last dotted part of the object name
+ objPartialMatch: 6,
+ // Additive scores depending on the priority of the object
+ objPrio: {
+ 0: 15, // used to be importantResults
+ 1: 5, // used to be objectResults
+ 2: -5, // used to be unimportantResults
+ },
+ // Used when the priority is not in the mapping.
+ objPrioDefault: 0,
+
+ // query found in title
+ title: 15,
+ partialTitle: 7,
+ // query found in terms
+ term: 5,
+ partialTerm: 2,
+ };
+}
+
+const _removeChildren = (element) => {
+ while (element && element.lastChild) element.removeChild(element.lastChild);
+};
+
+/**
+ * See https://developer.mozilla.org/en-US/docs/Web/JavaScript/Guide/Regular_Expressions#escaping
+ */
+const _escapeRegExp = (string) =>
+ string.replace(/[.*+\-?^${}()|[\]\\]/g, "\\$&"); // $& means the whole matched string
+
+const _displayItem = (item, searchTerms, highlightTerms) => {
+ const docBuilder = DOCUMENTATION_OPTIONS.BUILDER;
+ const docFileSuffix = DOCUMENTATION_OPTIONS.FILE_SUFFIX;
+ const docLinkSuffix = DOCUMENTATION_OPTIONS.LINK_SUFFIX;
+ const showSearchSummary = DOCUMENTATION_OPTIONS.SHOW_SEARCH_SUMMARY;
+ const contentRoot = document.documentElement.dataset.content_root;
+
+ const [docName, title, anchor, descr, score, _filename] = item;
+
+ let listItem = document.createElement("li");
+ let requestUrl;
+ let linkUrl;
+ if (docBuilder === "dirhtml") {
+ // dirhtml builder
+ let dirname = docName + "/";
+ if (dirname.match(/\/index\/$/))
+ dirname = dirname.substring(0, dirname.length - 6);
+ else if (dirname === "index/") dirname = "";
+ requestUrl = contentRoot + dirname;
+ linkUrl = requestUrl;
+ } else {
+ // normal html builders
+ requestUrl = contentRoot + docName + docFileSuffix;
+ linkUrl = docName + docLinkSuffix;
+ }
+ let linkEl = listItem.appendChild(document.createElement("a"));
+ linkEl.href = linkUrl + anchor;
+ linkEl.dataset.score = score;
+ linkEl.innerHTML = title;
+ if (descr) {
+ listItem.appendChild(document.createElement("span")).innerHTML =
+ " (" + descr + ")";
+ // highlight search terms in the description
+ if (SPHINX_HIGHLIGHT_ENABLED) // set in sphinx_highlight.js
+ highlightTerms.forEach((term) => _highlightText(listItem, term, "highlighted"));
+ }
+ else if (showSearchSummary)
+ fetch(requestUrl)
+ .then((responseData) => responseData.text())
+ .then((data) => {
+ if (data)
+ listItem.appendChild(
+ Search.makeSearchSummary(data, searchTerms, anchor)
+ );
+ // highlight search terms in the summary
+ if (SPHINX_HIGHLIGHT_ENABLED) // set in sphinx_highlight.js
+ highlightTerms.forEach((term) => _highlightText(listItem, term, "highlighted"));
+ });
+ Search.output.appendChild(listItem);
+};
+const _finishSearch = (resultCount) => {
+ Search.stopPulse();
+ Search.title.innerText = _("Search Results");
+ if (!resultCount)
+ Search.status.innerText = Documentation.gettext(
+ "Your search did not match any documents. Please make sure that all words are spelled correctly and that you've selected enough categories."
+ );
+ else
+ Search.status.innerText = _(
+ "Search finished, found ${resultCount} page(s) matching the search query."
+ ).replace('${resultCount}', resultCount);
+};
+const _displayNextItem = (
+ results,
+ resultCount,
+ searchTerms,
+ highlightTerms,
+) => {
+ // results left, load the summary and display it
+ // this is intended to be dynamic (don't sub resultsCount)
+ if (results.length) {
+ _displayItem(results.pop(), searchTerms, highlightTerms);
+ setTimeout(
+ () => _displayNextItem(results, resultCount, searchTerms, highlightTerms),
+ 5
+ );
+ }
+ // search finished, update title and status message
+ else _finishSearch(resultCount);
+};
+// Helper function used by query() to order search results.
+// Each input is an array of [docname, title, anchor, descr, score, filename].
+// Order the results by score (in opposite order of appearance, since the
+// `_displayNextItem` function uses pop() to retrieve items) and then alphabetically.
+const _orderResultsByScoreThenName = (a, b) => {
+ const leftScore = a[4];
+ const rightScore = b[4];
+ if (leftScore === rightScore) {
+ // same score: sort alphabetically
+ const leftTitle = a[1].toLowerCase();
+ const rightTitle = b[1].toLowerCase();
+ if (leftTitle === rightTitle) return 0;
+ return leftTitle > rightTitle ? -1 : 1; // inverted is intentional
+ }
+ return leftScore > rightScore ? 1 : -1;
+};
+
+/**
+ * Default splitQuery function. Can be overridden in ``sphinx.search`` with a
+ * custom function per language.
+ *
+ * The regular expression works by splitting the string on consecutive characters
+ * that are not Unicode letters, numbers, underscores, or emoji characters.
+ * This is the same as ``\W+`` in Python, preserving the surrogate pair area.
+ */
+if (typeof splitQuery === "undefined") {
+ var splitQuery = (query) => query
+ .split(/[^\p{Letter}\p{Number}_\p{Emoji_Presentation}]+/gu)
+ .filter(term => term) // remove remaining empty strings
+}
+
+/**
+ * Search Module
+ */
+const Search = {
+ _index: null,
+ _queued_query: null,
+ _pulse_status: -1,
+
+ htmlToText: (htmlString, anchor) => {
+ const htmlElement = new DOMParser().parseFromString(htmlString, 'text/html');
+ for (const removalQuery of [".headerlinks", "script", "style"]) {
+ htmlElement.querySelectorAll(removalQuery).forEach((el) => { el.remove() });
+ }
+ if (anchor) {
+ const anchorContent = htmlElement.querySelector(`[role="main"] ${anchor}`);
+ if (anchorContent) return anchorContent.textContent;
+
+ console.warn(
+ `Anchored content block not found. Sphinx search tries to obtain it via DOM query '[role=main] ${anchor}'. Check your theme or template.`
+ );
+ }
+
+ // if anchor not specified or not found, fall back to main content
+ const docContent = htmlElement.querySelector('[role="main"]');
+ if (docContent) return docContent.textContent;
+
+ console.warn(
+ "Content block not found. Sphinx search tries to obtain it via DOM query '[role=main]'. Check your theme or template."
+ );
+ return "";
+ },
+
+ init: () => {
+ const query = new URLSearchParams(window.location.search).get("q");
+ document
+ .querySelectorAll('input[name="q"]')
+ .forEach((el) => (el.value = query));
+ if (query) Search.performSearch(query);
+ },
+
+ loadIndex: (url) =>
+ (document.body.appendChild(document.createElement("script")).src = url),
+
+ setIndex: (index) => {
+ Search._index = index;
+ if (Search._queued_query !== null) {
+ const query = Search._queued_query;
+ Search._queued_query = null;
+ Search.query(query);
+ }
+ },
+
+ hasIndex: () => Search._index !== null,
+
+ deferQuery: (query) => (Search._queued_query = query),
+
+ stopPulse: () => (Search._pulse_status = -1),
+
+ startPulse: () => {
+ if (Search._pulse_status >= 0) return;
+
+ const pulse = () => {
+ Search._pulse_status = (Search._pulse_status + 1) % 4;
+ Search.dots.innerText = ".".repeat(Search._pulse_status);
+ if (Search._pulse_status >= 0) window.setTimeout(pulse, 500);
+ };
+ pulse();
+ },
+
+ /**
+ * perform a search for something (or wait until index is loaded)
+ */
+ performSearch: (query) => {
+ // create the required interface elements
+ const searchText = document.createElement("h2");
+ searchText.textContent = _("Searching");
+ const searchSummary = document.createElement("p");
+ searchSummary.classList.add("search-summary");
+ searchSummary.innerText = "";
+ const searchList = document.createElement("ul");
+ searchList.classList.add("search");
+
+ const out = document.getElementById("search-results");
+ Search.title = out.appendChild(searchText);
+ Search.dots = Search.title.appendChild(document.createElement("span"));
+ Search.status = out.appendChild(searchSummary);
+ Search.output = out.appendChild(searchList);
+
+ const searchProgress = document.getElementById("search-progress");
+ // Some themes don't use the search progress node
+ if (searchProgress) {
+ searchProgress.innerText = _("Preparing search...");
+ }
+ Search.startPulse();
+
+ // index already loaded, the browser was quick!
+ if (Search.hasIndex()) Search.query(query);
+ else Search.deferQuery(query);
+ },
+
+ _parseQuery: (query) => {
+ // stem the search terms and add them to the correct list
+ const stemmer = new Stemmer();
+ const searchTerms = new Set();
+ const excludedTerms = new Set();
+ const highlightTerms = new Set();
+ const objectTerms = new Set(splitQuery(query.toLowerCase().trim()));
+ splitQuery(query.trim()).forEach((queryTerm) => {
+ const queryTermLower = queryTerm.toLowerCase();
+
+ // maybe skip this "word"
+ // stopwords array is from language_data.js
+ if (
+ stopwords.indexOf(queryTermLower) !== -1 ||
+ queryTerm.match(/^\d+$/)
+ )
+ return;
+
+ // stem the word
+ let word = stemmer.stemWord(queryTermLower);
+ // select the correct list
+ if (word[0] === "-") excludedTerms.add(word.substr(1));
+ else {
+ searchTerms.add(word);
+ highlightTerms.add(queryTermLower);
+ }
+ });
+
+ if (SPHINX_HIGHLIGHT_ENABLED) { // set in sphinx_highlight.js
+ localStorage.setItem("sphinx_highlight_terms", [...highlightTerms].join(" "))
+ }
+
+ // console.debug("SEARCH: searching for:");
+ // console.info("required: ", [...searchTerms]);
+ // console.info("excluded: ", [...excludedTerms]);
+
+ return [query, searchTerms, excludedTerms, highlightTerms, objectTerms];
+ },
+
+ /**
+ * execute search (requires search index to be loaded)
+ */
+ _performSearch: (query, searchTerms, excludedTerms, highlightTerms, objectTerms) => {
+ const filenames = Search._index.filenames;
+ const docNames = Search._index.docnames;
+ const titles = Search._index.titles;
+ const allTitles = Search._index.alltitles;
+ const indexEntries = Search._index.indexentries;
+
+ // Collect multiple result groups to be sorted separately and then ordered.
+ // Each is an array of [docname, title, anchor, descr, score, filename].
+ const normalResults = [];
+ const nonMainIndexResults = [];
+
+ _removeChildren(document.getElementById("search-progress"));
+
+ const queryLower = query.toLowerCase().trim();
+ for (const [title, foundTitles] of Object.entries(allTitles)) {
+ if (title.toLowerCase().trim().includes(queryLower) && (queryLower.length >= title.length/2)) {
+ for (const [file, id] of foundTitles) {
+ let score = Math.round(100 * queryLower.length / title.length)
+ normalResults.push([
+ docNames[file],
+ titles[file] !== title ? `${titles[file]} > ${title}` : title,
+ id !== null ? "#" + id : "",
+ null,
+ score,
+ filenames[file],
+ ]);
+ }
+ }
+ }
+
+ // search for explicit entries in index directives
+ for (const [entry, foundEntries] of Object.entries(indexEntries)) {
+ if (entry.includes(queryLower) && (queryLower.length >= entry.length/2)) {
+ for (const [file, id, isMain] of foundEntries) {
+ const score = Math.round(100 * queryLower.length / entry.length);
+ const result = [
+ docNames[file],
+ titles[file],
+ id ? "#" + id : "",
+ null,
+ score,
+ filenames[file],
+ ];
+ if (isMain) {
+ normalResults.push(result);
+ } else {
+ nonMainIndexResults.push(result);
+ }
+ }
+ }
+ }
+
+ // lookup as object
+ objectTerms.forEach((term) =>
+ normalResults.push(...Search.performObjectSearch(term, objectTerms))
+ );
+
+ // lookup as search terms in fulltext
+ normalResults.push(...Search.performTermsSearch(searchTerms, excludedTerms));
+
+ // let the scorer override scores with a custom scoring function
+ if (Scorer.score) {
+ normalResults.forEach((item) => (item[4] = Scorer.score(item)));
+ nonMainIndexResults.forEach((item) => (item[4] = Scorer.score(item)));
+ }
+
+ // Sort each group of results by score and then alphabetically by name.
+ normalResults.sort(_orderResultsByScoreThenName);
+ nonMainIndexResults.sort(_orderResultsByScoreThenName);
+
+ // Combine the result groups in (reverse) order.
+ // Non-main index entries are typically arbitrary cross-references,
+ // so display them after other results.
+ let results = [...nonMainIndexResults, ...normalResults];
+
+ // remove duplicate search results
+ // note the reversing of results, so that in the case of duplicates, the highest-scoring entry is kept
+ let seen = new Set();
+ results = results.reverse().reduce((acc, result) => {
+ let resultStr = result.slice(0, 4).concat([result[5]]).map(v => String(v)).join(',');
+ if (!seen.has(resultStr)) {
+ acc.push(result);
+ seen.add(resultStr);
+ }
+ return acc;
+ }, []);
+
+ return results.reverse();
+ },
+
+ query: (query) => {
+ const [searchQuery, searchTerms, excludedTerms, highlightTerms, objectTerms] = Search._parseQuery(query);
+ const results = Search._performSearch(searchQuery, searchTerms, excludedTerms, highlightTerms, objectTerms);
+
+ // for debugging
+ //Search.lastresults = results.slice(); // a copy
+ // console.info("search results:", Search.lastresults);
+
+ // print the results
+ _displayNextItem(results, results.length, searchTerms, highlightTerms);
+ },
+
+ /**
+ * search for object names
+ */
+ performObjectSearch: (object, objectTerms) => {
+ const filenames = Search._index.filenames;
+ const docNames = Search._index.docnames;
+ const objects = Search._index.objects;
+ const objNames = Search._index.objnames;
+ const titles = Search._index.titles;
+
+ const results = [];
+
+ const objectSearchCallback = (prefix, match) => {
+ const name = match[4]
+ const fullname = (prefix ? prefix + "." : "") + name;
+ const fullnameLower = fullname.toLowerCase();
+ if (fullnameLower.indexOf(object) < 0) return;
+
+ let score = 0;
+ const parts = fullnameLower.split(".");
+
+ // check for different match types: exact matches of full name or
+ // "last name" (i.e. last dotted part)
+ if (fullnameLower === object || parts.slice(-1)[0] === object)
+ score += Scorer.objNameMatch;
+ else if (parts.slice(-1)[0].indexOf(object) > -1)
+ score += Scorer.objPartialMatch; // matches in last name
+
+ const objName = objNames[match[1]][2];
+ const title = titles[match[0]];
+
+ // If more than one term searched for, we require other words to be
+ // found in the name/title/description
+ const otherTerms = new Set(objectTerms);
+ otherTerms.delete(object);
+ if (otherTerms.size > 0) {
+ const haystack = `${prefix} ${name} ${objName} ${title}`.toLowerCase();
+ if (
+ [...otherTerms].some((otherTerm) => haystack.indexOf(otherTerm) < 0)
+ )
+ return;
+ }
+
+ let anchor = match[3];
+ if (anchor === "") anchor = fullname;
+ else if (anchor === "-") anchor = objNames[match[1]][1] + "-" + fullname;
+
+ const descr = objName + _(", in ") + title;
+
+ // add custom score for some objects according to scorer
+ if (Scorer.objPrio.hasOwnProperty(match[2]))
+ score += Scorer.objPrio[match[2]];
+ else score += Scorer.objPrioDefault;
+
+ results.push([
+ docNames[match[0]],
+ fullname,
+ "#" + anchor,
+ descr,
+ score,
+ filenames[match[0]],
+ ]);
+ };
+ Object.keys(objects).forEach((prefix) =>
+ objects[prefix].forEach((array) =>
+ objectSearchCallback(prefix, array)
+ )
+ );
+ return results;
+ },
+
+ /**
+ * search for full-text terms in the index
+ */
+ performTermsSearch: (searchTerms, excludedTerms) => {
+ // prepare search
+ const terms = Search._index.terms;
+ const titleTerms = Search._index.titleterms;
+ const filenames = Search._index.filenames;
+ const docNames = Search._index.docnames;
+ const titles = Search._index.titles;
+
+ const scoreMap = new Map();
+ const fileMap = new Map();
+
+ // perform the search on the required terms
+ searchTerms.forEach((word) => {
+ const files = [];
+ const arr = [
+ { files: terms[word], score: Scorer.term },
+ { files: titleTerms[word], score: Scorer.title },
+ ];
+ // add support for partial matches
+ if (word.length > 2) {
+ const escapedWord = _escapeRegExp(word);
+ if (!terms.hasOwnProperty(word)) {
+ Object.keys(terms).forEach((term) => {
+ if (term.match(escapedWord))
+ arr.push({ files: terms[term], score: Scorer.partialTerm });
+ });
+ }
+ if (!titleTerms.hasOwnProperty(word)) {
+ Object.keys(titleTerms).forEach((term) => {
+ if (term.match(escapedWord))
+ arr.push({ files: titleTerms[term], score: Scorer.partialTitle });
+ });
+ }
+ }
+
+ // no match but word was a required one
+ if (arr.every((record) => record.files === undefined)) return;
+
+ // found search word in contents
+ arr.forEach((record) => {
+ if (record.files === undefined) return;
+
+ let recordFiles = record.files;
+ if (recordFiles.length === undefined) recordFiles = [recordFiles];
+ files.push(...recordFiles);
+
+ // set score for the word in each file
+ recordFiles.forEach((file) => {
+ if (!scoreMap.has(file)) scoreMap.set(file, {});
+ scoreMap.get(file)[word] = record.score;
+ });
+ });
+
+ // create the mapping
+ files.forEach((file) => {
+ if (!fileMap.has(file)) fileMap.set(file, [word]);
+ else if (fileMap.get(file).indexOf(word) === -1) fileMap.get(file).push(word);
+ });
+ });
+
+ // now check if the files don't contain excluded terms
+ const results = [];
+ for (const [file, wordList] of fileMap) {
+ // check if all requirements are matched
+
+ // as search terms with length < 3 are discarded
+ const filteredTermCount = [...searchTerms].filter(
+ (term) => term.length > 2
+ ).length;
+ if (
+ wordList.length !== searchTerms.size &&
+ wordList.length !== filteredTermCount
+ )
+ continue;
+
+ // ensure that none of the excluded terms is in the search result
+ if (
+ [...excludedTerms].some(
+ (term) =>
+ terms[term] === file ||
+ titleTerms[term] === file ||
+ (terms[term] || []).includes(file) ||
+ (titleTerms[term] || []).includes(file)
+ )
+ )
+ break;
+
+ // select one (max) score for the file.
+ const score = Math.max(...wordList.map((w) => scoreMap.get(file)[w]));
+ // add result to the result list
+ results.push([
+ docNames[file],
+ titles[file],
+ "",
+ null,
+ score,
+ filenames[file],
+ ]);
+ }
+ return results;
+ },
+
+ /**
+ * helper function to return a node containing the
+ * search summary for a given text. keywords is a list
+ * of stemmed words.
+ */
+ makeSearchSummary: (htmlText, keywords, anchor) => {
+ const text = Search.htmlToText(htmlText, anchor);
+ if (text === "") return null;
+
+ const textLower = text.toLowerCase();
+ const actualStartPosition = [...keywords]
+ .map((k) => textLower.indexOf(k.toLowerCase()))
+ .filter((i) => i > -1)
+ .slice(-1)[0];
+ const startWithContext = Math.max(actualStartPosition - 120, 0);
+
+ const top = startWithContext === 0 ? "" : "...";
+ const tail = startWithContext + 240 < text.length ? "..." : "";
+
+ let summary = document.createElement("p");
+ summary.classList.add("context");
+ summary.textContent = top + text.substr(startWithContext, 240).trim() + tail;
+
+ return summary;
+ },
+};
+
+_ready(Search.init);
diff --git a/QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/docs/_static/sphinx_highlight.js b/QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/docs/_static/sphinx_highlight.js
new file mode 100644
index 0000000..8a96c69
--- /dev/null
+++ b/QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/docs/_static/sphinx_highlight.js
@@ -0,0 +1,154 @@
+/* Highlighting utilities for Sphinx HTML documentation. */
+"use strict";
+
+const SPHINX_HIGHLIGHT_ENABLED = true
+
+/**
+ * highlight a given string on a node by wrapping it in
+ * span elements with the given class name.
+ */
+const _highlight = (node, addItems, text, className) => {
+ if (node.nodeType === Node.TEXT_NODE) {
+ const val = node.nodeValue;
+ const parent = node.parentNode;
+ const pos = val.toLowerCase().indexOf(text);
+ if (
+ pos >= 0 &&
+ !parent.classList.contains(className) &&
+ !parent.classList.contains("nohighlight")
+ ) {
+ let span;
+
+ const closestNode = parent.closest("body, svg, foreignObject");
+ const isInSVG = closestNode && closestNode.matches("svg");
+ if (isInSVG) {
+ span = document.createElementNS("http://www.w3.org/2000/svg", "tspan");
+ } else {
+ span = document.createElement("span");
+ span.classList.add(className);
+ }
+
+ span.appendChild(document.createTextNode(val.substr(pos, text.length)));
+ const rest = document.createTextNode(val.substr(pos + text.length));
+ parent.insertBefore(
+ span,
+ parent.insertBefore(
+ rest,
+ node.nextSibling
+ )
+ );
+ node.nodeValue = val.substr(0, pos);
+ /* There may be more occurrences of search term in this node. So call this
+ * function recursively on the remaining fragment.
+ */
+ _highlight(rest, addItems, text, className);
+
+ if (isInSVG) {
+ const rect = document.createElementNS(
+ "http://www.w3.org/2000/svg",
+ "rect"
+ );
+ const bbox = parent.getBBox();
+ rect.x.baseVal.value = bbox.x;
+ rect.y.baseVal.value = bbox.y;
+ rect.width.baseVal.value = bbox.width;
+ rect.height.baseVal.value = bbox.height;
+ rect.setAttribute("class", className);
+ addItems.push({ parent: parent, target: rect });
+ }
+ }
+ } else if (node.matches && !node.matches("button, select, textarea")) {
+ node.childNodes.forEach((el) => _highlight(el, addItems, text, className));
+ }
+};
+const _highlightText = (thisNode, text, className) => {
+ let addItems = [];
+ _highlight(thisNode, addItems, text, className);
+ addItems.forEach((obj) =>
+ obj.parent.insertAdjacentElement("beforebegin", obj.target)
+ );
+};
+
+/**
+ * Small JavaScript module for the documentation.
+ */
+const SphinxHighlight = {
+
+ /**
+ * highlight the search words provided in localstorage in the text
+ */
+ highlightSearchWords: () => {
+ if (!SPHINX_HIGHLIGHT_ENABLED) return; // bail if no highlight
+
+ // get and clear terms from localstorage
+ const url = new URL(window.location);
+ const highlight =
+ localStorage.getItem("sphinx_highlight_terms")
+ || url.searchParams.get("highlight")
+ || "";
+ localStorage.removeItem("sphinx_highlight_terms")
+ url.searchParams.delete("highlight");
+ window.history.replaceState({}, "", url);
+
+ // get individual terms from highlight string
+ const terms = highlight.toLowerCase().split(/\s+/).filter(x => x);
+ if (terms.length === 0) return; // nothing to do
+
+ // There should never be more than one element matching "div.body"
+ const divBody = document.querySelectorAll("div.body");
+ const body = divBody.length ? divBody[0] : document.querySelector("body");
+ window.setTimeout(() => {
+ terms.forEach((term) => _highlightText(body, term, "highlighted"));
+ }, 10);
+
+ const searchBox = document.getElementById("searchbox");
+ if (searchBox === null) return;
+ searchBox.appendChild(
+ document
+ .createRange()
+ .createContextualFragment(
+ '<p class="highlight-link">' +
+ '<a href="javascript:SphinxHighlight.hideSearchWords()">' +
+ _("Hide Search Matches") +
+ "</a></p>"
+ )
+ );
+ },
+
+ /**
+ * helper function to hide the search marks again
+ */
+ hideSearchWords: () => {
+ document
+ .querySelectorAll("#searchbox .highlight-link")
+ .forEach((el) => el.remove());
+ document
+ .querySelectorAll("span.highlighted")
+ .forEach((el) => el.classList.remove("highlighted"));
+ localStorage.removeItem("sphinx_highlight_terms")
+ },
+
+ initEscapeListener: () => {
+ // only install a listener if it is really needed
+ if (!DOCUMENTATION_OPTIONS.ENABLE_SEARCH_SHORTCUTS) return;
+
+ document.addEventListener("keydown", (event) => {
+ // bail for input elements
+ if (BLACKLISTED_KEY_CONTROL_ELEMENTS.has(document.activeElement.tagName)) return;
+ // bail with special keys
+ if (event.shiftKey || event.altKey || event.ctrlKey || event.metaKey) return;
+ if (DOCUMENTATION_OPTIONS.ENABLE_SEARCH_SHORTCUTS && (event.key === "Escape")) {
+ SphinxHighlight.hideSearchWords();
+ event.preventDefault();
+ }
+ });
+ },
+};
+
+_ready(() => {
+ /* Do not call highlightSearchWords() when we are on the search page.
+ * It will highlight words from the *previous* search query.
+ */
+ if (typeof Search === "undefined") SphinxHighlight.highlightSearchWords();
+ SphinxHighlight.initEscapeListener();
+});
diff --git a/QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/docs/api.html b/QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/docs/api.html
new file mode 100644
index 0000000..3a7c7b3
--- /dev/null
+++ b/QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/docs/api.html
@@ -0,0 +1,214 @@
+<!DOCTYPE html>
+
+<html lang="en" data-content_root="./">
+ <head>
+ <meta charset="utf-8" />
+ <meta name="viewport" content="width=device-width, initial-scale=1.0" /><meta name="generator" content="Docutils 0.18.1: http://docutils.sourceforge.net/" />
+
+ <title>API — QDarts documentation</title>
+ <link rel="stylesheet" type="text/css" href="_static/pygments.css?v=61cd365c" />
+ <link rel="stylesheet" type="text/css" href="_static/alabaster.css?v=12dfc556" />
+ <script src="_static/documentation_options.js?v=5929fcd5"></script>
+ <script src="_static/doctools.js?v=9a2dae69"></script>
+ <script src="_static/sphinx_highlight.js?v=dc90522c"></script>
+ <script async="async" src="https://cdn.jsdelivr.net/npm/mathjax@3/es5/tex-mml-chtml.js"></script>
+ <link rel="index" title="Index" href="genindex.html" />
+ <link rel="search" title="Search" href="search.html" />
+ <link rel="next" title="qdarts.experiment.Experiment" href="interfaces/qdarts.experiment.Experiment.html" />
+ <link rel="prev" title="API Usage Tutorial" href="api_tutorial.html" />
+
+ <link rel="stylesheet" href="_static/custom.css" type="text/css" />
+
+
+
+
+
+ </head><body>
+
+
+ <div class="document">
+ <div class="documentwrapper">
+ <div class="bodywrapper">
+
+
+ <div class="body" role="main">
+
+ <section id="api">
+<h1>API<a class="headerlink" href="#api" title="Link to this heading">¶</a></h1>
+<p>In the following, we will describe the core components of our API</p>
+<section id="experiment-class">
+<h2>Experiment Class<a class="headerlink" href="#experiment-class" title="Link to this heading">¶</a></h2>
+<p>For a quick start for uing the simulator, there is the Experiment class that is also used
+in the example notebook. We refer to the notebook for a detailled usage example.</p>
+<table class="autosummary longtable docutils align-default">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="interfaces/qdarts.experiment.Experiment.html#qdarts.experiment.Experiment" title="qdarts.experiment.Experiment"><code class="xref py py-obj docutils literal notranslate"><span class="pre">experiment.Experiment</span></code></a>(capacitance_config[, ...])</p></td>
+<td><p>Experiment class that helps setup the different parts of the simulator into an easy to ue interface.</p></td>
+</tr>
+</tbody>
+</table>
+</section>
+<section id="simulation-components">
+<h2>Simulation Components<a class="headerlink" href="#simulation-components" title="Link to this heading">¶</a></h2>
+<p>The main components to build your own simulations are shown below.
+We first need to create a Capacitance model that generates a
+capacitive energy function <span class="math notranslate nohighlight">\(E(v,n)\)</span>. With this, we can start
+to generate a purely capacitive simulation.</p>
+<table class="autosummary longtable docutils align-default">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="interfaces/qdarts.capacitance_model.CapacitanceModel.html#qdarts.capacitance_model.CapacitanceModel" title="qdarts.capacitance_model.CapacitanceModel"><code class="xref py py-obj docutils literal notranslate"><span class="pre">capacitance_model.CapacitanceModel</span></code></a>(C_g, C_D, ...)</p></td>
+<td><p>Implementation of a slight generalization of the constant interaction model.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="interfaces/qdarts.simulator.CapacitiveDeviceSimulator.html#qdarts.simulator.CapacitiveDeviceSimulator" title="qdarts.simulator.CapacitiveDeviceSimulator"><code class="xref py py-obj docutils literal notranslate"><span class="pre">simulator.CapacitiveDeviceSimulator</span></code></a>(...)</p></td>
+<td><p>This class simulates a quantum dot device based on a capacitance model.</p></td>
+</tr>
+</tbody>
+</table>
+<p>This simulation is rather basic and can only compute areas of voltages that lead to the same ground
+state, so called coulomb diamonds. This can already be used to generate
+Charge Stability diagrams by computing 2D slices through the set of polytopes,
+but those will not look very realistic, nor will they include tunneling.</p>
+<p>To move beyond this simulation, we need to drastically improve the modeling.
+This next step is based on the full tunneling simulator that requires a simulation
+of the sensor dot and a simulation of tunnel barriers - the latter can be simplified by
+just providing a matrix of constant tunnel couplings.</p>
+<table class="autosummary longtable docutils align-default">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="interfaces/qdarts.tunneling_simulator.ApproximateTunnelingSimulator.html#qdarts.tunneling_simulator.ApproximateTunnelingSimulator" title="qdarts.tunneling_simulator.ApproximateTunnelingSimulator"><code class="xref py py-obj docutils literal notranslate"><span class="pre">tunneling_simulator.ApproximateTunnelingSimulator</span></code></a>(...)</p></td>
+<td><p>Simulator for approximate charge tunneling in a quantum dot device.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="interfaces/qdarts.tunneling_simulator.TunnelBarrierModel.html#qdarts.tunneling_simulator.TunnelBarrierModel" title="qdarts.tunneling_simulator.TunnelBarrierModel"><code class="xref py py-obj docutils literal notranslate"><span class="pre">tunneling_simulator.TunnelBarrierModel</span></code></a>(...)</p></td>
+<td><p>Model of the tunnel barriers of a device</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="interfaces/qdarts.tunneling_simulator.NoisySensorDot.html#qdarts.tunneling_simulator.NoisySensorDot" title="qdarts.tunneling_simulator.NoisySensorDot"><code class="xref py py-obj docutils literal notranslate"><span class="pre">tunneling_simulator.NoisySensorDot</span></code></a>(...)</p></td>
+<td><p>Simulates a sensor signal by computing the conductance of the sensor dots.</p></td>
+</tr>
+</tbody>
+</table>
+<p>The simulation of the sensor dot can optionally make use of a noise model in order
+to generate dependent noise. For this, we currently offer the following two classes</p>
+<table class="autosummary longtable docutils align-default">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="interfaces/qdarts.noise_processes.OU_process.html#qdarts.noise_processes.OU_process" title="qdarts.noise_processes.OU_process"><code class="xref py py-obj docutils literal notranslate"><span class="pre">noise_processes.OU_process</span></code></a>(sigma, tc, dt, ...)</p></td>
+<td><p>Implements the Ornstein-Uhlenbeck noise process</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="interfaces/qdarts.noise_processes.Cosine_Mean_Function.html#qdarts.noise_processes.Cosine_Mean_Function" title="qdarts.noise_processes.Cosine_Mean_Function"><code class="xref py py-obj docutils literal notranslate"><span class="pre">noise_processes.Cosine_Mean_Function</span></code></a>(...[, b])</p></td>
+<td><p>Decorator of an random process that models an additive mean term that depends on the gate voltages.</p></td>
+</tr>
+</tbody>
+</table>
+</section>
+<section id="data-classes">
+<h2>Data Classes<a class="headerlink" href="#data-classes" title="Link to this heading">¶</a></h2>
+<p>Finally, both levels of simulations have their own data classes. The polytope class is returned by the
+boundaries method by any simulator and the local system is returned by the tunneling simulator. Both describe
+the local state of the simulator in some region.</p>
+<table class="autosummary longtable docutils align-default">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="interfaces/qdarts.tunneling_simulator.LocalSystem.html#qdarts.tunneling_simulator.LocalSystem" title="qdarts.tunneling_simulator.LocalSystem"><code class="xref py py-obj docutils literal notranslate"><span class="pre">tunneling_simulator.LocalSystem</span></code></a>(v, H, state, sim)</p></td>
+<td><p>Class describing a quantum system defined by the gate voltages of a simulated device.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="interfaces/qdarts.polytope.Polytope.html#qdarts.polytope.Polytope" title="qdarts.polytope.Polytope"><code class="xref py py-obj docutils literal notranslate"><span class="pre">polytope.Polytope</span></code></a>(state)</p></td>
+<td><p>Represents the polytope P(n) defined by all gate voltages v in a device that have capacitive ground state n.</p></td>
+</tr>
+</tbody>
+</table>
+</section>
+<section id="interfaces">
+<h2>Interfaces<a class="headerlink" href="#interfaces" title="Link to this heading">¶</a></h2>
+<p>QDarts offers a set of interfaces and base classes that can serve as a primer to how to extend the simulator by
+replacing existing components. In most cases, only a few specialized functions need to be implemented as the base
+class implements most of the important logic. Please note that QDarts is under active development, all of these
+interfaces are subject to change.</p>
+<table class="autosummary longtable docutils align-default">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="interfaces/qdarts.capacitance_model.AbstractCapacitanceModel.html#qdarts.capacitance_model.AbstractCapacitanceModel" title="qdarts.capacitance_model.AbstractCapacitanceModel"><code class="xref py py-obj docutils literal notranslate"><span class="pre">capacitance_model.AbstractCapacitanceModel</span></code></a>(...)</p></td>
+<td><p>Base Class for all capacitance models.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="interfaces/qdarts.simulator.AbstractPolytopeSimulator.html#qdarts.simulator.AbstractPolytopeSimulator" title="qdarts.simulator.AbstractPolytopeSimulator"><code class="xref py py-obj docutils literal notranslate"><span class="pre">simulator.AbstractPolytopeSimulator</span></code></a>(...)</p></td>
+<td><p>Base class for all simulation objects that can compute and return polytopes.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="interfaces/qdarts.simulator.AbstractCapacitiveDeviceSimulator.html#qdarts.simulator.AbstractCapacitiveDeviceSimulator" title="qdarts.simulator.AbstractCapacitiveDeviceSimulator"><code class="xref py py-obj docutils literal notranslate"><span class="pre">simulator.AbstractCapacitiveDeviceSimulator</span></code></a>(...)</p></td>
+<td><p>Base class for all objects that create device simulations from a Capacitive Model.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="interfaces/qdarts.noise_processes.AbstractNoiseProcess.html#qdarts.noise_processes.AbstractNoiseProcess" title="qdarts.noise_processes.AbstractNoiseProcess"><code class="xref py py-obj docutils literal notranslate"><span class="pre">noise_processes.AbstractNoiseProcess</span></code></a>(...)</p></td>
+<td><p>Models a noise process that produces possibly dependent samples <span class="math notranslate nohighlight">\(\epsilon(v)_t\)</span>.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="interfaces/qdarts.tunneling_simulator.AbstractSensorSim.html#qdarts.tunneling_simulator.AbstractSensorSim" title="qdarts.tunneling_simulator.AbstractSensorSim"><code class="xref py py-obj docutils literal notranslate"><span class="pre">tunneling_simulator.AbstractSensorSim</span></code></a>(...)</p></td>
+<td><p>Base class defining the interface for all sensor simulations</p></td>
+</tr>
+</tbody>
+</table>
+</section>
+</section>
+
+
+ </div>
+
+ </div>
+ </div>
+ <div class="sphinxsidebar" role="navigation" aria-label="main navigation">
+ <div class="sphinxsidebarwrapper">
+<h1 class="logo"><a href="index.html">QDarts</a></h1>
+
+
+
+
+
+
+
+
+<h3>Navigation</h3>
+<ul class="current">
+<li class="toctree-l1"><a class="reference internal" href="api_tutorial.html">API Usage Tutorial</a></li>
+<li class="toctree-l1 current"><a class="current reference internal" href="#">API</a></li>
+</ul>
+
+<div class="relations">
+<h3>Related Topics</h3>
+<ul>
+ <li><a href="index.html">Documentation overview</a><ul>
+ <li>Previous: <a href="api_tutorial.html" title="previous chapter">API Usage Tutorial</a></li>
+ <li>Next: <a href="interfaces/qdarts.experiment.Experiment.html" title="next chapter">qdarts.experiment.Experiment</a></li>
+ </ul></li>
+</ul>
+</div>
+<search id="searchbox" style="display: none" role="search">
+ <h3 id="searchlabel">Quick search</h3>
+ <div class="searchformwrapper">
+ <form class="search" action="search.html" method="get">
+ <input type="text" name="q" aria-labelledby="searchlabel" autocomplete="off" autocorrect="off" autocapitalize="off" spellcheck="false"/>
+ <input type="submit" value="Go" />
+ </form>
+ </div>
+</search>
+<script>document.getElementById('searchbox').style.display = "block"</script>
+
+
+
+
+
+
+
+
+ </div>
+ </div>
+ <div class="clearer"></div>
+ </div>
+ <div class="footer">
+ ©2024, Oswin Krause, Jan Krzywda, Weikun Liu, Evert van Nieuwenburg.
+
+ |
+ Powered by <a href="https://www.sphinx-doc.org/">Sphinx 7.3.7</a>
+ & <a href="https://alabaster.readthedocs.io">Alabaster 0.7.16</a>
+
+ |
+ <a href="_sources/api.rst.txt"
+ rel="nofollow">Page source</a>
+ </div>
+
+
+
+
+ </body>
+</html>
\ No newline at end of file
diff --git a/QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/docs/api_tutorial.html b/QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/docs/api_tutorial.html
new file mode 100644
index 0000000..5ab6dd8
--- /dev/null
+++ b/QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/docs/api_tutorial.html
@@ -0,0 +1,275 @@
+<!DOCTYPE html>
+
+<html lang="en" data-content_root="./">
+ <head>
+ <meta charset="utf-8" />
+ <meta name="viewport" content="width=device-width, initial-scale=1.0" /><meta name="generator" content="Docutils 0.18.1: http://docutils.sourceforge.net/" />
+
+ <title>API Usage Tutorial — QDarts documentation</title>
+ <link rel="stylesheet" type="text/css" href="_static/pygments.css?v=61cd365c" />
+ <link rel="stylesheet" type="text/css" href="_static/alabaster.css?v=12dfc556" />
+ <script src="_static/documentation_options.js?v=5929fcd5"></script>
+ <script src="_static/doctools.js?v=9a2dae69"></script>
+ <script src="_static/sphinx_highlight.js?v=dc90522c"></script>
+ <script async="async" src="https://cdn.jsdelivr.net/npm/mathjax@3/es5/tex-mml-chtml.js"></script>
+ <link rel="index" title="Index" href="genindex.html" />
+ <link rel="search" title="Search" href="search.html" />
+ <link rel="next" title="API" href="api.html" />
+ <link rel="prev" title="QDarts" href="index.html" />
+
+ <link rel="stylesheet" href="_static/custom.css" type="text/css" />
+
+
+
+
+
+ </head><body>
+
+
+ <div class="document">
+ <div class="documentwrapper">
+ <div class="bodywrapper">
+
+
+ <div class="body" role="main">
+
+ <section id="api-usage-tutorial">
+<h1>API Usage Tutorial<a class="headerlink" href="#api-usage-tutorial" title="Link to this heading">¶</a></h1>
+<p>QDarts comes with two API-levels, the <code class="docutils literal notranslate"><span class="pre">Experiment</span></code> class that simplifies many of the most common applications at the cost
+of flexibility. It is build on top of the low-level API, that gives access to the full power of QDarts. It is possile to mix both
+APIs, for example, it is possible to construct a simulator using the <code class="docutils literal notranslate"><span class="pre">Experiment</span></code> class and then modify it using the low-level API.
+In the following, we will explain the low-level API (The usage of the high-level api is described in the ipython notebook located in <code class="docutils literal notranslate"><span class="pre">examples/figures_scipost.ipynb</span></code>
+that also reproduces all figures of our publication).</p>
+<p>The code for this tutorial is provided in the ipython notebook <code class="docutils literal notranslate"><span class="pre">examples/api_tutorial.ipynb</span></code>. To keep the tutorial concise,
+we only include the most important lines here that are needed to create the simulator,
+but we skip definition of capacitance parameters etc. For this, directly reading the code is best.</p>
+<p>The simulated device is a dcevice with 6 dots, of which three are sensor dots. It is controlled by 9 plunger gates, 1 for each dot and
+three that govern barrier gates between the three dots that are not sensor dots. The device is defined using a set of parameter matrices
+that govern the capacitances between the 9 gates and 6 dots, as well as the effect the 9 gates have on the barrier potential and therefore the tunnel coupling.</p>
+<section id="construction-of-the-capacitive-simulation">
+<h2>Construction of the capacitive simulation<a class="headerlink" href="#construction-of-the-capacitive-simulation" title="Link to this heading">¶</a></h2>
+<p>As first step, we need to initialize the capacitive simulation.
+It depends on a capacitive model, which creates the capacitive energy function and which depends on a number of
+parameters, the capacitanc matrices between plunger gates and dots, <code class="docutils literal notranslate"><span class="pre">C_DG</span></code>, the interdot capacitances <code class="docutils literal notranslate"><span class="pre">C_DD</span></code>,
+a lower bound on the gate voltages <code class="docutils literal notranslate"><span class="pre">bounds_limits</span></code> and optionaly a parameter <code class="docutils literal notranslate"><span class="pre">ks</span></code> that governs the deviation from the constant interaction
+model and which can be set to <code class="docutils literal notranslate"><span class="pre">None</span></code>. With these parameters, creating the capacitive simulation is straight forward:</p>
+<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="kn">from</span> <span class="nn">qdarts.capacitance_model</span> <span class="kn">import</span> <span class="n">CapacitanceModel</span>
+<span class="kn">from</span> <span class="nn">qdarts.simulator</span> <span class="kn">import</span> <span class="n">CapacitiveDeviceSimulator</span>
+
+<span class="n">capacitance_model</span> <span class="o">=</span> <span class="n">CapacitanceModel</span><span class="p">(</span><span class="n">C_DG</span><span class="p">,</span> <span class="n">C_DD</span><span class="p">,</span> <span class="n">bounds_limits</span><span class="p">,</span> <span class="n">ks</span><span class="o">=</span><span class="n">ks</span><span class="p">)</span>
+<span class="n">capacitive_sim</span> <span class="o">=</span> <span class="n">CapacitiveDeviceSimulator</span><span class="p">(</span><span class="n">capacitance_model</span><span class="p">)</span>
+</pre></div>
+</div>
+<p>The capacitance simulation is purely classical and fits to the simulation of typical GaAs spin-qubit devices.
+It can only be used to query the ground state of the electron configuration given a set of gate voltages,
+as well as for each electron configuration the polytope of gate voltages that lead to the ground state configuration. Both features together are enough
+to plot a charge stability diagram and to exactly compute the boundaries of ground states within the diagram.</p>
+</section>
+<section id="plotting-the-charge-stability-diagram">
+<h2>Plotting the Charge Stability Diagram<a class="headerlink" href="#plotting-the-charge-stability-diagram" title="Link to this heading">¶</a></h2>
+<p>For ploting, we have two helper functions. First, <code class="docutils literal notranslate"><span class="pre">get_CSD_states</span></code> computes for a 2D grid of gate voltages the ground state. This is done by computing a standard 2D grid
+that is then transformed into gate-voltage space. This transformation is done via a linear transformation <span class="math notranslate nohighlight">\(v=m+P@v'\)</span>, where v is the full vector of gate plunger voltages,
+in our case 9 values. The variables <span class="math notranslate nohighlight">\(m\)</span> and <span class="math notranslate nohighlight">\(P\)</span> are projection parameters, where <span class="math notranslate nohighlight">\(m\)</span> is a 9 dimensional vector and <span class="math notranslate nohighlight">\(P\)</span> a 9x2 matrix.
+This defines a local 2D coordinate system transformation from the 2D grid <span class="math notranslate nohighlight">\(v'\)</span> to <span class="math notranslate nohighlight">\(v\)</span>. With this, it is possible to create a plot in any two coordinate axes.
+If we pick the grid of <span class="math notranslate nohighlight">\(v'\)</span> values as symmetric around 0, then <span class="math notranslate nohighlight">\(m\)</span> can be interpreted as the midpoint of the scan that we compute next.</p>
+<p>the question is, how we can obtain these values. We can use the capacitive simulation to query points of interest. For example, when we are interested in the scan around
+a point on the state where there is a single electron on each inner dot and 5 electrons on each sensor dot, we can query it simply via:</p>
+<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="n">m</span> <span class="o">=</span> <span class="n">capacitive_sim</span><span class="o">.</span><span class="n">boundaries</span><span class="p">([</span><span class="mi">1</span><span class="p">,</span><span class="mi">1</span><span class="p">,</span><span class="mi">1</span><span class="p">,</span><span class="mi">5</span><span class="p">,</span><span class="mi">5</span><span class="p">,</span><span class="mi">5</span><span class="p">])</span><span class="o">.</span><span class="n">point_inside</span>
+</pre></div>
+</div>
+<p>And if we want to perform a scan over the axes of the first and third plunger gate (which in our simulation are strongest coupled to the first and third inner dot) we can
+set:</p>
+<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="n">P</span><span class="o">=</span><span class="n">np</span><span class="o">.</span><span class="n">zeros</span><span class="p">((</span><span class="n">N_gates</span><span class="p">,</span><span class="mi">2</span><span class="p">))</span>
+<span class="n">P</span><span class="p">[</span><span class="mi">0</span><span class="p">,</span><span class="mi">0</span><span class="p">]</span><span class="o">=</span><span class="mi">1</span>
+<span class="n">P</span><span class="p">[</span><span class="mi">2</span><span class="p">,</span><span class="mi">1</span><span class="p">]</span><span class="o">=</span><span class="mi">1</span>
+</pre></div>
+</div>
+<p>Now that we have the projection, we can define the minimum and maximum values of <span class="math notranslate nohighlight">\(v'\)</span> in both directions and choose an image resolution.
+Then, we can use <code class="docutils literal notranslate"><span class="pre">get_CSD_data</span></code>:</p>
+<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="kn">from</span> <span class="nn">qdarts.plotting</span> <span class="kn">import</span> <span class="n">get_CSD_data</span>
+
+<span class="n">minV</span> <span class="o">=</span> <span class="p">[</span><span class="o">-</span><span class="mf">0.01</span><span class="p">,</span><span class="o">-</span><span class="mf">0.01</span><span class="p">]</span>
+<span class="n">maxV</span> <span class="o">=</span> <span class="p">[</span> <span class="mf">0.01</span><span class="p">,</span> <span class="mf">0.01</span><span class="p">]</span>
+<span class="n">resolution</span> <span class="o">=</span> <span class="mi">100</span>
+
+<span class="n">sliced_csim</span><span class="p">,</span> <span class="n">CSD_data</span><span class="p">,</span> <span class="n">states</span> <span class="o">=</span> <span class="n">get_CSD_data</span><span class="p">(</span><span class="n">capacitive_sim</span><span class="p">,</span> <span class="n">P</span><span class="p">,</span><span class="n">m</span><span class="p">,</span> <span class="n">minV</span><span class="p">,</span> <span class="n">maxV</span><span class="p">,</span> <span class="n">resolution</span><span class="p">,</span> <span class="n">target_state</span><span class="p">)</span>
+</pre></div>
+</div>
+<p>The last parameter is needed to provide the simulation with an initial guess of which might be the ground state of the bottom left corner of the plot.
+This guess does not need to be exact. This function returns three things: first, a simulation <code class="docutils literal notranslate"><span class="pre">sliced_csim</span></code> that is defined on the transformed space <span class="math notranslate nohighlight">\(v'\)</span> and serves as a cache for
+computed values. We will talk more about these slices later in the tutorial. The second result, <code class="docutils literal notranslate"><span class="pre">CSD_data</span></code> is a plottable 2D grid of values in which each ground state configuration is assigned
+a different value. Finally, <code class="docutils literal notranslate"><span class="pre">states</span></code> is an array of all ground states for each grid point. We can plot this directly with matplotlib:</p>
+<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="n">xs</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">linspace</span><span class="p">(</span><span class="n">minV</span><span class="p">[</span><span class="mi">0</span><span class="p">],</span><span class="n">maxV</span><span class="p">[</span><span class="mi">0</span><span class="p">],</span><span class="n">resolution</span><span class="p">)</span>
+<span class="n">ys</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">linspace</span><span class="p">(</span><span class="n">minV</span><span class="p">[</span><span class="mi">1</span><span class="p">],</span><span class="n">maxV</span><span class="p">[</span><span class="mi">1</span><span class="p">],</span><span class="n">resolution</span><span class="p">)</span>
+<span class="n">plt</span><span class="o">.</span><span class="n">pcolormesh</span><span class="p">(</span><span class="n">xs</span><span class="p">,</span><span class="n">ys</span><span class="p">,</span><span class="n">CSD_data</span><span class="o">.</span><span class="n">T</span><span class="p">)</span>
+</pre></div>
+</div>
+<p>The resulting grid is a rastered low resolution image.</p>
+<a class="reference internal image-reference" href="_images/api_csd_raster.png"><img alt="_images/api_csd_raster.png" class="align-center" src="_images/api_csd_raster.png" style="width: 297.0px; height: 208.0px;" /></a>
+<p>We can improve on this by plotting the exact boundaries between the two ground states using <code class="docutils literal notranslate"><span class="pre">get_polytopes</span></code> and <code class="docutils literal notranslate"><span class="pre">plot_polytopes</span></code>:</p>
+<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="n">polytopes</span> <span class="o">=</span> <span class="n">get_polytopes</span><span class="p">(</span><span class="n">states</span><span class="p">,</span> <span class="n">sliced_csim</span><span class="p">,</span> <span class="n">minV</span><span class="p">,</span> <span class="n">maxV</span><span class="p">)</span>
+<span class="n">plt</span><span class="o">.</span><span class="n">xlim</span><span class="p">(</span><span class="n">minV</span><span class="p">[</span><span class="mi">0</span><span class="p">],</span><span class="n">maxV</span><span class="p">[</span><span class="mi">0</span><span class="p">])</span>
+<span class="n">plt</span><span class="o">.</span><span class="n">ylim</span><span class="p">(</span><span class="n">minV</span><span class="p">[</span><span class="mi">1</span><span class="p">],</span><span class="n">maxV</span><span class="p">[</span><span class="mi">1</span><span class="p">])</span>
+<span class="n">plot_polytopes</span><span class="p">(</span><span class="n">plt</span><span class="o">.</span><span class="n">gca</span><span class="p">(),</span><span class="n">polytopes</span><span class="p">,</span> <span class="n">skip_dots</span><span class="o">=</span><span class="p">[</span><span class="mi">3</span><span class="p">,</span><span class="mi">4</span><span class="p">,</span><span class="mi">5</span><span class="p">],</span> <span class="n">fontsize</span><span class="o">=</span><span class="mi">16</span><span class="p">)</span>
+</pre></div>
+</div>
+<p>Note that this function computes the polytopes based on the low dimensional sliced simulation returned by <code class="docutils literal notranslate"><span class="pre">get_CSD_data</span></code> as well as its computed array of states. The function also prints the labels
+of each state, and the option <code class="docutils literal notranslate"><span class="pre">skip_dots</span></code> allows to skip the part of the electron configuration we are not interested in. In this case, we skipped the 3 sensor dots.
+Adding the last two plotting commands together, the resulting plot should look like this:</p>
+<a class="reference internal image-reference" href="_images/api_csd_grid.png"><img alt="_images/api_csd_grid.png" class="align-center" src="_images/api_csd_grid.png" style="width: 298.0px; height: 209.0px;" /></a>
+</section>
+<section id="creation-of-a-tunneling-simulation">
+<h2>Creation of a tunneling simulation<a class="headerlink" href="#creation-of-a-tunneling-simulation" title="Link to this heading">¶</a></h2>
+<p>Now that we are able to generate a CSD, we want to also simulate tunneling and simulate a more realistic sensor signal.
+For this, we need to create a few objects. First, we have to decide on a sensor simulator. The default choice is the <code class="docutils literal notranslate"><span class="pre">NoisySensorDot</span></code>
+which simulates a sequence of sensor reflectometry peaks on one or more sensor dots:</p>
+<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="n">sensor_model</span> <span class="o">=</span> <span class="n">NoisySensorDot</span><span class="p">(</span><span class="n">sensor_dots</span><span class="p">)</span> <span class="c1">#a model of the sensor dots that just needs which dot has which index</span>
+<span class="n">sensor_model</span><span class="o">.</span><span class="n">config_peak</span><span class="p">(</span><span class="n">g_max</span> <span class="o">=</span> <span class="mf">1.0</span><span class="p">,</span> <span class="n">peak_width_multiplier</span> <span class="o">=</span> <span class="mi">20</span><span class="p">)</span> <span class="c1">#make the sensor peak broader</span>
+</pre></div>
+</div>
+<p>The constructor takes the indexes of the dots we want to use as sensor dots and each entry in this list will produce one sensor signal, the quantum capacitance measured
+at the sensor dot. In the next line we add configuration options. <code class="docutils literal notranslate"><span class="pre">g_max</span></code> is just a scaling factor of the signal, which we leave at 1. The default sensor peak is simulated using only the
+temperature of the dot and does not take broadening due to RF power into account. To compensate for this, we introduce a broadening factor that can make the peak wider. in our experience, values between
+5 and 20 work well. There are more options to add here, for example the noise model of the signal, but for this tutorial, we do not add noise to keep it simple. You can check the documentation
+of <code class="docutils literal notranslate"><span class="pre">NoisySensorDot</span></code> for more details on that.</p>
+<p>Now, with our configured sensor dot, we create the simulation using tunnel coupling:</p>
+<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="n">tunneling_sim</span> <span class="o">=</span> <span class="n">ApproximateTunnelingSimulator</span><span class="p">(</span><span class="n">capacitive_sim</span><span class="p">,</span> <span class="c1">#the underlying polytope simulation</span>
+ <span class="n">tunnel_couplings</span><span class="p">,</span> <span class="c1">#symmetric tunnel coupling matrix T_ij which stores the tunnel coupling between dots i and j</span>
+ <span class="n">temperature</span><span class="p">,</span> <span class="c1">#electron temperature, should be <=200mK</span>
+ <span class="n">sensor_model</span><span class="p">)</span> <span class="c1">#our sensor model simulation</span>
+</pre></div>
+</div>
+<p>The tunneling simulation is very expensive, and by default it tries to minimize the number of basis elements for the computed Hamiltonians by excluding states with energies that are large compared to
+a chosen slack. By default the slack is 0, and thus all states that are not direct neighbours of our polytope (i.e., they do not share a facet) will be excluded. By increasing the slack proportional to
+the inverse temperature, we add more states that might still be relevant for tunneling. Further, the sensor dot simulation relies on the existence of states that add or remove an electron from the sensor dot.
+These can easily be excluded from the simulation and therefore we enfore in the simulation that states with additional electrons added/subtracted on the sensor dot are always present.</p>
+<blockquote>
+<div><p>capacitive_sim.set_maximum_polytope_slack(5/tunneling_sim.beta) #adding slack to keep more states that are likely to affect the hamiltonian
+tunneling_sim.num_additional_neighbours[sensor_dots] = 2 #adding additional states for the sensor dots</p>
+</div></blockquote>
+<p>Finally, we can create a similar plot as before. We use the same values for ´´m´´ and ´´P´´ as for the previous simulation, so that we can compare the two plots.
+Note that since the device has three sensor dots, the output is a 3 dimensional tensor where the last dimension is the number of sensor dots and we plot below only
+the output of the third sensor:</p>
+<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="n">sensor_values</span> <span class="o">=</span> <span class="n">tunneling_sim</span><span class="o">.</span><span class="n">sensor_scan_2D</span><span class="p">(</span><span class="n">P</span><span class="p">,</span> <span class="n">m</span><span class="p">,</span> <span class="n">minV</span><span class="p">,</span> <span class="n">maxV</span><span class="p">,</span> <span class="n">resolution</span><span class="p">,</span> <span class="n">target_state</span><span class="p">)</span>
+<span class="n">plt</span><span class="o">.</span><span class="n">pcolormesh</span><span class="p">(</span><span class="n">xs</span><span class="p">,</span><span class="n">ys</span><span class="p">,</span><span class="n">sensor_values</span><span class="p">[:,:,</span><span class="mi">2</span><span class="p">]</span><span class="o">.</span><span class="n">T</span><span class="p">)</span>
+</pre></div>
+</div>
+<p>This plots results in the sensor signal</p>
+<a class="reference internal image-reference" href="_images/api_tunnel_raster.png"><img alt="_images/api_tunnel_raster.png" class="align-center" src="_images/api_tunnel_raster.png" style="width: 297.0px; height: 208.0px;" /></a>
+<p>which again can be overlayed with our grid as before:</p>
+<a class="reference internal image-reference" href="_images/api_tunnel_grid.png"><img alt="_images/api_tunnel_grid.png" class="align-center" src="_images/api_tunnel_grid.png" style="width: 298.0px; height: 209.0px;" /></a>
+</section>
+<section id="slicing-and-sensor-compensation">
+<h2>Slicing and sensor compensation<a class="headerlink" href="#slicing-and-sensor-compensation" title="Link to this heading">¶</a></h2>
+<p>The last plot shows that most of the sensor signal is very low and there is only a small area with a peak. This is because of the missing sensor compensation: the sensor peak
+is capacitely affected by the plunger gates and thus changing the voltages changes the sensor signal. On the previous plot we already configured a wide width of the peak (<code class="docutils literal notranslate"><span class="pre">peak_width_multiplier</span> <span class="pre">=</span> <span class="pre">20`</span></code>) to make
+this effect small, but in reality many devices have very narrow and clear peaks.
+What we need is sensor compensation, i.e., a change of coordinate system where the sensor plunger voltage is corrected for the cross-talk from the other gates so that we stay on the sensor peak as well as possible.
+Moreover, the sensor peak is not centered. This is because we used as mid-point a point inside the polytope, but the sensor peaks are only on the boundaries between polytopes with different number of
+electrons on the sensor dots. Thus, we need to change our coordinate system and tune the sensor to a better point.</p>
+<p>This change of coordinate system is achieved in the simulator via slicing. In the previous examples, we defined a matrix <code class="docutils literal notranslate"><span class="pre">P</span></code> and vector <code class="docutils literal notranslate"><span class="pre">m</span></code> to generate the plot. We said that this changed the coordinate
+system via <span class="math notranslate nohighlight">\(v=m+Pv'\)</span>, where <code class="docutils literal notranslate"><span class="pre">v'</span></code> was a 2D case. This operation is called slicing and a simulation can be sliced via:</p>
+<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="n">sliced_sim</span> <span class="o">=</span> <span class="n">sim</span><span class="o">.</span><span class="n">slice</span><span class="p">(</span><span class="n">P</span><span class="p">,</span><span class="n">m</span><span class="p">)</span>
+</pre></div>
+</div>
+<p>This works on all simulator objects and it returns a new simulation with gate voltages <code class="docutils literal notranslate"><span class="pre">v'</span></code>. This works in any dimensions, not just 2 and it is used in most simulation transformation code.
+QDarts makes use of this in all its transformation code. For example, compensating the sensor dot:</p>
+<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="n">compensated_tsim</span><span class="p">,</span> <span class="n">_</span><span class="p">,</span><span class="n">m_comp</span> <span class="o">=</span> <span class="n">compensate_simulator_sensors</span><span class="p">(</span>
+ <span class="n">tunneling_sim</span><span class="p">,</span> <span class="c1">#the simulator object to compensate</span>
+ <span class="n">target_state</span><span class="o">=</span><span class="p">[</span><span class="mi">1</span><span class="p">,</span><span class="mi">1</span><span class="p">,</span><span class="mi">1</span><span class="p">,</span><span class="mi">5</span><span class="p">,</span><span class="mi">5</span><span class="p">,</span><span class="mi">5</span><span class="p">],</span> <span class="c1">#the electron configuration around which to compensate</span>
+ <span class="n">compensation_gates</span><span class="o">=</span> <span class="p">[</span><span class="mi">6</span><span class="p">,</span><span class="mi">7</span><span class="p">,</span><span class="mi">8</span><span class="p">],</span> <span class="c1">#the ids of the sensor gate plungers.</span>
+ <span class="n">sensor_ids</span> <span class="o">=</span> <span class="p">[</span><span class="mi">3</span><span class="p">,</span><span class="mi">4</span><span class="p">,</span><span class="mi">5</span><span class="p">],</span><span class="c1">#the ids of the sensor dots.</span>
+ <span class="n">sensor_detunings</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">array</span><span class="p">([</span><span class="o">-</span><span class="mf">0.0005</span><span class="p">,</span><span class="o">-</span><span class="mf">0.0005</span><span class="p">,</span><span class="o">-</span><span class="mf">0.0005</span><span class="p">])</span> <span class="c1">#shift of the sensor dot plungers</span>
+<span class="p">)</span>
+</pre></div>
+</div>
+<p>This function returns the sensor compensated simulator object, which has its gates transformed such, that changing the gate voltages of any gate plunger other the sensor dot plungers does not change the
+chemical potential of the sensor dot and thus leaves the sensor signal constant, except when a transition happens. This function relies on the user to supply the ids of the sensor dots and which elements of the voltage
+vector are the sensor plungers (for example, the sensor dot with id 3 has plunger 6 as its plunger gate). Since in our model the capacitance parameters of the model vary with the occupation number, we have to
+indicate the target state. Further, we have to supply a vector of sensor detunings that indicate on which position we are on the snesor detuning axis, i.e., the sensor peak. This value is relative to the peak maximum,
+a value of 0 will return the exact peak max, which is a value that is typically avoided in practice due to the low signal to noise ratio. Additional to the sensor compensation object, the function returns also as third
+return value the exact tuning point, i.e., the voltage vector that identifies the flank point for the given state. We can use this to plot a 2D charge stability diagram with the returned point as its center.
+We also show in the point below how to query the internal modified capacitance simulator using <code class="docutils literal notranslate"><span class="pre">compensated_tsim.poly_sim</span></code> in order to compute the state boundaries:</p>
+<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="n">sensor_values</span> <span class="o">=</span> <span class="n">compensated_tsim</span><span class="o">.</span><span class="n">sensor_scan_2D</span><span class="p">(</span><span class="n">P</span><span class="p">,</span> <span class="n">m_comp</span><span class="p">,</span> <span class="n">minV</span><span class="p">,</span> <span class="n">maxV</span><span class="p">,</span> <span class="n">resolution</span><span class="p">,</span> <span class="n">target_state</span><span class="p">)</span>
+<span class="n">sliced_tsim</span><span class="p">,</span> <span class="n">CSD_data</span><span class="p">,</span> <span class="n">states</span> <span class="o">=</span> <span class="n">get_CSD_data</span><span class="p">(</span><span class="n">compensated_tsim</span><span class="o">.</span><span class="n">poly_sim</span><span class="p">,</span> <span class="n">P</span><span class="p">,</span><span class="n">m_comp</span><span class="p">,</span> <span class="n">minV</span><span class="p">,</span> <span class="n">maxV</span><span class="p">,</span> <span class="n">resolution</span><span class="p">,</span> <span class="n">target_state</span><span class="p">)</span>
+<span class="n">polytopes</span> <span class="o">=</span> <span class="n">get_polytopes</span><span class="p">(</span><span class="n">states</span><span class="p">,</span> <span class="n">sliced_tsim</span><span class="p">,</span> <span class="n">minV</span><span class="p">,</span> <span class="n">maxV</span><span class="p">)</span>
+</pre></div>
+</div>
+<p>Plotting the computed <code class="docutils literal notranslate"><span class="pre">`sensor_values</span></code> and <code class="docutils literal notranslate"><span class="pre">polytopes</span></code> as before, leads to</p>
+<a class="reference internal image-reference" href="_images/api_tunnel_comp.png"><img alt="_images/api_tunnel_comp.png" class="align-center" src="_images/api_tunnel_comp.png" style="width: 298.0px; height: 209.0px;" /></a>
+<p>As you can see, the sensors are almost perfectly compensated, leading to almost perfectly flat polytopes with no visible shape of a sensor peak. The [1,1,1] state indicates a color in the middle of the peak
+and we can see how single electron transitions change the position on the peak due to the change of color on the polytopes. It is similarly possible to compensate any other gates and thus to compute virtual coordinates,
+for this we refer to the documentation of <code class="docutils literal notranslate"><span class="pre">axis_align_transitions</span></code>.</p>
+</section>
+</section>
+
+
+ </div>
+
+ </div>
+ </div>
+ <div class="sphinxsidebar" role="navigation" aria-label="main navigation">
+ <div class="sphinxsidebarwrapper">
+<h1 class="logo"><a href="index.html">QDarts</a></h1>
+
+
+
+
+
+
+
+
+<h3>Navigation</h3>
+<ul class="current">
+<li class="toctree-l1 current"><a class="current reference internal" href="#">API Usage Tutorial</a></li>
+<li class="toctree-l1"><a class="reference internal" href="api.html">API</a></li>
+</ul>
+
+<div class="relations">
+<h3>Related Topics</h3>
+<ul>
+ <li><a href="index.html">Documentation overview</a><ul>
+ <li>Previous: <a href="index.html" title="previous chapter">QDarts</a></li>
+ <li>Next: <a href="api.html" title="next chapter">API</a></li>
+ </ul></li>
+</ul>
+</div>
+<search id="searchbox" style="display: none" role="search">
+ <h3 id="searchlabel">Quick search</h3>
+ <div class="searchformwrapper">
+ <form class="search" action="search.html" method="get">
+ <input type="text" name="q" aria-labelledby="searchlabel" autocomplete="off" autocorrect="off" autocapitalize="off" spellcheck="false"/>
+ <input type="submit" value="Go" />
+ </form>
+ </div>
+</search>
+<script>document.getElementById('searchbox').style.display = "block"</script>
+
+
+
+
+
+
+
+
+ </div>
+ </div>
+ <div class="clearer"></div>
+ </div>
+ <div class="footer">
+ ©2024, Oswin Krause, Jan Krzywda, Weikun Liu, Evert van Nieuwenburg.
+
+ |
+ Powered by <a href="https://www.sphinx-doc.org/">Sphinx 7.3.7</a>
+ & <a href="https://alabaster.readthedocs.io">Alabaster 0.7.16</a>
+
+ |
+ <a href="_sources/api_tutorial.rst.txt"
+ rel="nofollow">Page source</a>
+ </div>
+
+
+
+
+ </body>
+</html>
\ No newline at end of file
diff --git a/QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/docs/genindex.html b/QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/docs/genindex.html
new file mode 100644
index 0000000..a81d219
--- /dev/null
+++ b/QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/docs/genindex.html
@@ -0,0 +1,531 @@
+<!DOCTYPE html>
+
+<html lang="en" data-content_root="./">
+ <head>
+ <meta charset="utf-8" />
+ <meta name="viewport" content="width=device-width, initial-scale=1.0" />
+ <title>Index — QDarts documentation</title>
+ <link rel="stylesheet" type="text/css" href="_static/pygments.css?v=61cd365c" />
+ <link rel="stylesheet" type="text/css" href="_static/alabaster.css?v=12dfc556" />
+ <script src="_static/documentation_options.js?v=5929fcd5"></script>
+ <script src="_static/doctools.js?v=9a2dae69"></script>
+ <script src="_static/sphinx_highlight.js?v=dc90522c"></script>
+ <link rel="index" title="Index" href="#" />
+ <link rel="search" title="Search" href="search.html" />
+
+ <link rel="stylesheet" href="_static/custom.css" type="text/css" />
+
+
+
+
+
+ </head><body>
+
+
+ <div class="document">
+ <div class="documentwrapper">
+ <div class="bodywrapper">
+
+
+ <div class="body" role="main">
+
+
+<h1 id="index">Index</h1>
+
+<div class="genindex-jumpbox">
+ <a href="#_"><strong>_</strong></a>
+ | <a href="#A"><strong>A</strong></a>
+ | <a href="#B"><strong>B</strong></a>
+ | <a href="#C"><strong>C</strong></a>
+ | <a href="#D"><strong>D</strong></a>
+ | <a href="#E"><strong>E</strong></a>
+ | <a href="#F"><strong>F</strong></a>
+ | <a href="#G"><strong>G</strong></a>
+ | <a href="#H"><strong>H</strong></a>
+ | <a href="#I"><strong>I</strong></a>
+ | <a href="#L"><strong>L</strong></a>
+ | <a href="#M"><strong>M</strong></a>
+ | <a href="#N"><strong>N</strong></a>
+ | <a href="#O"><strong>O</strong></a>
+ | <a href="#P"><strong>P</strong></a>
+ | <a href="#S"><strong>S</strong></a>
+ | <a href="#T"><strong>T</strong></a>
+ | <a href="#V"><strong>V</strong></a>
+
+</div>
+<h2 id="_">_</h2>
+<table style="width: 100%" class="indextable genindextable"><tr>
+ <td style="width: 33%; vertical-align: top;"><ul>
+ <li><a href="interfaces/qdarts.capacitance_model.AbstractCapacitanceModel.html#qdarts.capacitance_model.AbstractCapacitanceModel.__init__">__init__() (qdarts.capacitance_model.AbstractCapacitanceModel method)</a>
+
+ <ul>
+ <li><a href="interfaces/qdarts.capacitance_model.CapacitanceModel.html#qdarts.capacitance_model.CapacitanceModel.__init__">(qdarts.capacitance_model.CapacitanceModel method)</a>
+</li>
+ <li><a href="interfaces/qdarts.experiment.Experiment.html#qdarts.experiment.Experiment.__init__">(qdarts.experiment.Experiment method)</a>
+</li>
+ <li><a href="interfaces/qdarts.noise_processes.AbstractNoiseProcess.html#qdarts.noise_processes.AbstractNoiseProcess.__init__">(qdarts.noise_processes.AbstractNoiseProcess method)</a>
+</li>
+ <li><a href="interfaces/qdarts.noise_processes.Cosine_Mean_Function.html#qdarts.noise_processes.Cosine_Mean_Function.__init__">(qdarts.noise_processes.Cosine_Mean_Function method)</a>
+</li>
+ <li><a href="interfaces/qdarts.noise_processes.OU_process.html#qdarts.noise_processes.OU_process.__init__">(qdarts.noise_processes.OU_process method)</a>
+</li>
+ <li><a href="interfaces/qdarts.polytope.Polytope.html#qdarts.polytope.Polytope.__init__">(qdarts.polytope.Polytope method)</a>
+</li>
+ <li><a href="interfaces/qdarts.simulator.AbstractCapacitiveDeviceSimulator.html#qdarts.simulator.AbstractCapacitiveDeviceSimulator.__init__">(qdarts.simulator.AbstractCapacitiveDeviceSimulator method)</a>
+</li>
+ <li><a href="interfaces/qdarts.simulator.AbstractPolytopeSimulator.html#qdarts.simulator.AbstractPolytopeSimulator.__init__">(qdarts.simulator.AbstractPolytopeSimulator method)</a>
+</li>
+ <li><a href="interfaces/qdarts.simulator.CapacitiveDeviceSimulator.html#qdarts.simulator.CapacitiveDeviceSimulator.__init__">(qdarts.simulator.CapacitiveDeviceSimulator method)</a>
+</li>
+ <li><a href="interfaces/qdarts.tunneling_simulator.AbstractSensorSim.html#qdarts.tunneling_simulator.AbstractSensorSim.__init__">(qdarts.tunneling_simulator.AbstractSensorSim method)</a>
+</li>
+ <li><a href="interfaces/qdarts.tunneling_simulator.ApproximateTunnelingSimulator.html#qdarts.tunneling_simulator.ApproximateTunnelingSimulator.__init__">(qdarts.tunneling_simulator.ApproximateTunnelingSimulator method)</a>
+</li>
+ <li><a href="interfaces/qdarts.tunneling_simulator.LocalSystem.html#qdarts.tunneling_simulator.LocalSystem.__init__">(qdarts.tunneling_simulator.LocalSystem method)</a>
+</li>
+ <li><a href="interfaces/qdarts.tunneling_simulator.NoisySensorDot.html#qdarts.tunneling_simulator.NoisySensorDot.__init__">(qdarts.tunneling_simulator.NoisySensorDot method)</a>
+</li>
+ <li><a href="interfaces/qdarts.tunneling_simulator.TunnelBarrierModel.html#qdarts.tunneling_simulator.TunnelBarrierModel.__init__">(qdarts.tunneling_simulator.TunnelBarrierModel method)</a>
+</li>
+ </ul></li>
+ </ul></td>
+</tr></table>
+
+<h2 id="A">A</h2>
+<table style="width: 100%" class="indextable genindextable"><tr>
+ <td style="width: 33%; vertical-align: top;"><ul>
+ <li><a href="interfaces/qdarts.polytope.Polytope.html#qdarts.polytope.Polytope.A">A (qdarts.polytope.Polytope attribute)</a>
+</li>
+ <li><a href="interfaces/qdarts.capacitance_model.AbstractCapacitanceModel.html#qdarts.capacitance_model.AbstractCapacitanceModel">AbstractCapacitanceModel (class in qdarts.capacitance_model)</a>
+</li>
+ <li><a href="interfaces/qdarts.simulator.AbstractCapacitiveDeviceSimulator.html#qdarts.simulator.AbstractCapacitiveDeviceSimulator">AbstractCapacitiveDeviceSimulator (class in qdarts.simulator)</a>
+</li>
+ <li><a href="interfaces/qdarts.noise_processes.AbstractNoiseProcess.html#qdarts.noise_processes.AbstractNoiseProcess">AbstractNoiseProcess (class in qdarts.noise_processes)</a>
+</li>
+ </ul></td>
+ <td style="width: 33%; vertical-align: top;"><ul>
+ <li><a href="interfaces/qdarts.simulator.AbstractPolytopeSimulator.html#qdarts.simulator.AbstractPolytopeSimulator">AbstractPolytopeSimulator (class in qdarts.simulator)</a>
+</li>
+ <li><a href="interfaces/qdarts.tunneling_simulator.AbstractSensorSim.html#qdarts.tunneling_simulator.AbstractSensorSim">AbstractSensorSim (class in qdarts.tunneling_simulator)</a>
+</li>
+ <li><a href="interfaces/qdarts.polytope.Polytope.html#qdarts.polytope.Polytope.additional_info">additional_info (qdarts.polytope.Polytope attribute)</a>
+</li>
+ <li><a href="interfaces/qdarts.tunneling_simulator.ApproximateTunnelingSimulator.html#qdarts.tunneling_simulator.ApproximateTunnelingSimulator">ApproximateTunnelingSimulator (class in qdarts.tunneling_simulator)</a>
+</li>
+ </ul></td>
+</tr></table>
+
+<h2 id="B">B</h2>
+<table style="width: 100%" class="indextable genindextable"><tr>
+ <td style="width: 33%; vertical-align: top;"><ul>
+ <li><a href="interfaces/qdarts.polytope.Polytope.html#qdarts.polytope.Polytope.b">b (qdarts.polytope.Polytope attribute)</a>
+</li>
+ <li><a href="interfaces/qdarts.tunneling_simulator.ApproximateTunnelingSimulator.html#qdarts.tunneling_simulator.ApproximateTunnelingSimulator.barrier_sim">barrier_sim (qdarts.tunneling_simulator.ApproximateTunnelingSimulator attribute)</a>
+</li>
+ <li><a href="interfaces/qdarts.tunneling_simulator.LocalSystem.html#qdarts.tunneling_simulator.LocalSystem.basis_labels">basis_labels (qdarts.tunneling_simulator.LocalSystem property)</a>
+</li>
+ <li><a href="interfaces/qdarts.tunneling_simulator.ApproximateTunnelingSimulator.html#qdarts.tunneling_simulator.ApproximateTunnelingSimulator.beta">beta (qdarts.tunneling_simulator.ApproximateTunnelingSimulator attribute)</a>
+
+ <ul>
+ <li><a href="interfaces/qdarts.tunneling_simulator.LocalSystem.html#qdarts.tunneling_simulator.LocalSystem.beta">(qdarts.tunneling_simulator.LocalSystem attribute)</a>
+</li>
+ </ul></li>
+ </ul></td>
+ <td style="width: 33%; vertical-align: top;"><ul>
+ <li><a href="interfaces/qdarts.simulator.AbstractCapacitiveDeviceSimulator.html#qdarts.simulator.AbstractCapacitiveDeviceSimulator.boundaries">boundaries() (qdarts.simulator.AbstractCapacitiveDeviceSimulator method)</a>
+
+ <ul>
+ <li><a href="interfaces/qdarts.simulator.AbstractPolytopeSimulator.html#qdarts.simulator.AbstractPolytopeSimulator.boundaries">(qdarts.simulator.AbstractPolytopeSimulator method)</a>
+</li>
+ <li><a href="interfaces/qdarts.tunneling_simulator.ApproximateTunnelingSimulator.html#qdarts.tunneling_simulator.ApproximateTunnelingSimulator.boundaries">(qdarts.tunneling_simulator.ApproximateTunnelingSimulator method)</a>
+</li>
+ </ul></li>
+ <li><a href="interfaces/qdarts.capacitance_model.AbstractCapacitanceModel.html#qdarts.capacitance_model.AbstractCapacitanceModel.bounds_limits">bounds_limits (qdarts.capacitance_model.AbstractCapacitanceModel attribute)</a>
+</li>
+ </ul></td>
+</tr></table>
+
+<h2 id="C">C</h2>
+<table style="width: 100%" class="indextable genindextable"><tr>
+ <td style="width: 33%; vertical-align: top;"><ul>
+ <li><a href="interfaces/qdarts.simulator.AbstractCapacitiveDeviceSimulator.html#qdarts.simulator.AbstractCapacitiveDeviceSimulator.cached_polytopes">cached_polytopes() (qdarts.simulator.AbstractCapacitiveDeviceSimulator method)</a>
+</li>
+ <li><a href="interfaces/qdarts.capacitance_model.CapacitanceModel.html#qdarts.capacitance_model.CapacitanceModel">CapacitanceModel (class in qdarts.capacitance_model)</a>
+</li>
+ <li><a href="interfaces/qdarts.simulator.CapacitiveDeviceSimulator.html#qdarts.simulator.CapacitiveDeviceSimulator">CapacitiveDeviceSimulator (class in qdarts.simulator)</a>
+</li>
+ <li><a href="interfaces/qdarts.experiment.Experiment.html#qdarts.experiment.Experiment.center_transition">center_transition() (qdarts.experiment.Experiment method)</a>
+</li>
+ <li><a href="interfaces/qdarts.tunneling_simulator.ApproximateTunnelingSimulator.html#qdarts.tunneling_simulator.ApproximateTunnelingSimulator.compute_local_system">compute_local_system() (qdarts.tunneling_simulator.ApproximateTunnelingSimulator method)</a>
+</li>
+ <li><a href="interfaces/qdarts.tunneling_simulator.LocalSystem.html#qdarts.tunneling_simulator.LocalSystem.compute_mixed_state_of_subset">compute_mixed_state_of_subset() (qdarts.tunneling_simulator.LocalSystem method)</a>
+</li>
+ <li><a href="interfaces/qdarts.simulator.AbstractCapacitiveDeviceSimulator.html#qdarts.simulator.AbstractCapacitiveDeviceSimulator.compute_polytope">compute_polytope() (qdarts.simulator.AbstractCapacitiveDeviceSimulator method)</a>
+
+ <ul>
+ <li><a href="interfaces/qdarts.simulator.CapacitiveDeviceSimulator.html#qdarts.simulator.CapacitiveDeviceSimulator.compute_polytope">(qdarts.simulator.CapacitiveDeviceSimulator method)</a>
+</li>
+ </ul></li>
+ </ul></td>
+ <td style="width: 33%; vertical-align: top;"><ul>
+ <li><a href="interfaces/qdarts.capacitance_model.AbstractCapacitanceModel.html#qdarts.capacitance_model.AbstractCapacitanceModel.compute_polytope_for_state">compute_polytope_for_state() (qdarts.capacitance_model.AbstractCapacitanceModel method)</a>
+</li>
+ <li><a href="interfaces/qdarts.capacitance_model.AbstractCapacitanceModel.html#qdarts.capacitance_model.AbstractCapacitanceModel.compute_transition_equations">compute_transition_equations() (qdarts.capacitance_model.AbstractCapacitanceModel method)</a>
+
+ <ul>
+ <li><a href="interfaces/qdarts.capacitance_model.CapacitanceModel.html#qdarts.capacitance_model.CapacitanceModel.compute_transition_equations">(qdarts.capacitance_model.CapacitanceModel method)</a>
+</li>
+ <li><a href="interfaces/qdarts.simulator.AbstractCapacitiveDeviceSimulator.html#qdarts.simulator.AbstractCapacitiveDeviceSimulator.compute_transition_equations">(qdarts.simulator.AbstractCapacitiveDeviceSimulator method)</a>
+</li>
+ </ul></li>
+ <li><a href="interfaces/qdarts.tunneling_simulator.NoisySensorDot.html#qdarts.tunneling_simulator.NoisySensorDot.config_noise">config_noise() (qdarts.tunneling_simulator.NoisySensorDot method)</a>
+</li>
+ <li><a href="interfaces/qdarts.tunneling_simulator.NoisySensorDot.html#qdarts.tunneling_simulator.NoisySensorDot.config_peak">config_peak() (qdarts.tunneling_simulator.NoisySensorDot method)</a>
+</li>
+ <li><a href="interfaces/qdarts.tunneling_simulator.LocalSystem.html#qdarts.tunneling_simulator.LocalSystem.core_basis_indices">core_basis_indices (qdarts.tunneling_simulator.LocalSystem property)</a>
+</li>
+ <li><a href="interfaces/qdarts.noise_processes.Cosine_Mean_Function.html#qdarts.noise_processes.Cosine_Mean_Function">Cosine_Mean_Function (class in qdarts.noise_processes)</a>
+</li>
+ </ul></td>
+</tr></table>
+
+<h2 id="D">D</h2>
+<table style="width: 100%" class="indextable genindextable"><tr>
+ <td style="width: 33%; vertical-align: top;"><ul>
+ <li><a href="interfaces/qdarts.experiment.Experiment.html#qdarts.experiment.Experiment.deploy_capacitance_sim">deploy_capacitance_sim() (qdarts.experiment.Experiment method)</a>
+</li>
+ </ul></td>
+ <td style="width: 33%; vertical-align: top;"><ul>
+ <li><a href="interfaces/qdarts.experiment.Experiment.html#qdarts.experiment.Experiment.deploy_sensor_model">deploy_sensor_model() (qdarts.experiment.Experiment method)</a>
+</li>
+ <li><a href="interfaces/qdarts.experiment.Experiment.html#qdarts.experiment.Experiment.deploy_tunneling_sim">deploy_tunneling_sim() (qdarts.experiment.Experiment method)</a>
+</li>
+ </ul></td>
+</tr></table>
+
+<h2 id="E">E</h2>
+<table style="width: 100%" class="indextable genindextable"><tr>
+ <td style="width: 33%; vertical-align: top;"><ul>
+ <li><a href="interfaces/qdarts.capacitance_model.AbstractCapacitanceModel.html#qdarts.capacitance_model.AbstractCapacitanceModel.enumerate_neighbours">enumerate_neighbours() (qdarts.capacitance_model.AbstractCapacitanceModel method)</a>
+</li>
+ </ul></td>
+ <td style="width: 33%; vertical-align: top;"><ul>
+ <li><a href="interfaces/qdarts.experiment.Experiment.html#qdarts.experiment.Experiment">Experiment (class in qdarts.experiment)</a>
+</li>
+ </ul></td>
+</tr></table>
+
+<h2 id="F">F</h2>
+<table style="width: 100%" class="indextable genindextable"><tr>
+ <td style="width: 33%; vertical-align: top;"><ul>
+ <li><a href="interfaces/qdarts.simulator.AbstractCapacitiveDeviceSimulator.html#qdarts.simulator.AbstractCapacitiveDeviceSimulator.find_boundary_intersection">find_boundary_intersection() (qdarts.simulator.AbstractCapacitiveDeviceSimulator method)</a>
+</li>
+ </ul></td>
+ <td style="width: 33%; vertical-align: top;"><ul>
+ <li><a href="interfaces/qdarts.simulator.AbstractCapacitiveDeviceSimulator.html#qdarts.simulator.AbstractCapacitiveDeviceSimulator.find_state_of_voltage">find_state_of_voltage() (qdarts.simulator.AbstractCapacitiveDeviceSimulator method)</a>
+</li>
+ </ul></td>
+</tr></table>
+
+<h2 id="G">G</h2>
+<table style="width: 100%" class="indextable genindextable"><tr>
+ <td style="width: 33%; vertical-align: top;"><ul>
+ <li><a href="interfaces/qdarts.experiment.Experiment.html#qdarts.experiment.Experiment.generate_CSD">generate_CSD() (qdarts.experiment.Experiment method)</a>
+</li>
+ <li><a href="interfaces/qdarts.experiment.Experiment.html#qdarts.experiment.Experiment.get_compensated_sim">get_compensated_sim() (qdarts.experiment.Experiment method)</a>
+</li>
+ <li><a href="interfaces/qdarts.simulator.AbstractCapacitiveDeviceSimulator.html#qdarts.simulator.AbstractCapacitiveDeviceSimulator.get_maximum_polytope_slack">get_maximum_polytope_slack() (qdarts.simulator.AbstractCapacitiveDeviceSimulator method)</a>
+
+ <ul>
+ <li><a href="interfaces/qdarts.simulator.CapacitiveDeviceSimulator.html#qdarts.simulator.CapacitiveDeviceSimulator.get_maximum_polytope_slack">(qdarts.simulator.CapacitiveDeviceSimulator method)</a>
+</li>
+ </ul></li>
+ </ul></td>
+ <td style="width: 33%; vertical-align: top;"><ul>
+ <li><a href="interfaces/qdarts.experiment.Experiment.html#qdarts.experiment.Experiment.get_plot_args">get_plot_args() (qdarts.experiment.Experiment method)</a>
+</li>
+ <li><a href="interfaces/qdarts.tunneling_simulator.TunnelBarrierModel.html#qdarts.tunneling_simulator.TunnelBarrierModel.get_tunnel_matrix">get_tunnel_matrix() (qdarts.tunneling_simulator.TunnelBarrierModel method)</a>
+</li>
+ <li><a href="interfaces/qdarts.experiment.Experiment.html#qdarts.experiment.Experiment.get_virtualised_sim">get_virtualised_sim() (qdarts.experiment.Experiment method)</a>
+</li>
+ </ul></td>
+</tr></table>
+
+<h2 id="H">H</h2>
+<table style="width: 100%" class="indextable genindextable"><tr>
+ <td style="width: 33%; vertical-align: top;"><ul>
+ <li><a href="interfaces/qdarts.tunneling_simulator.LocalSystem.html#qdarts.tunneling_simulator.LocalSystem.H">H (qdarts.tunneling_simulator.LocalSystem attribute)</a>
+</li>
+ </ul></td>
+</tr></table>
+
+<h2 id="I">I</h2>
+<table style="width: 100%" class="indextable genindextable"><tr>
+ <td style="width: 33%; vertical-align: top;"><ul>
+ <li><a href="interfaces/qdarts.simulator.AbstractCapacitiveDeviceSimulator.html#qdarts.simulator.AbstractCapacitiveDeviceSimulator.inside_state">inside_state() (qdarts.simulator.AbstractCapacitiveDeviceSimulator method)</a>
+</li>
+ </ul></td>
+ <td style="width: 33%; vertical-align: top;"><ul>
+ <li><a href="interfaces/qdarts.polytope.Polytope.html#qdarts.polytope.Polytope.invertible_transform">invertible_transform() (qdarts.polytope.Polytope method)</a>
+</li>
+ </ul></td>
+</tr></table>
+
+<h2 id="L">L</h2>
+<table style="width: 100%" class="indextable genindextable"><tr>
+ <td style="width: 33%; vertical-align: top;"><ul>
+ <li><a href="interfaces/qdarts.polytope.Polytope.html#qdarts.polytope.Polytope.labels">labels (qdarts.polytope.Polytope attribute)</a>
+</li>
+ </ul></td>
+ <td style="width: 33%; vertical-align: top;"><ul>
+ <li><a href="interfaces/qdarts.polytope.Polytope.html#qdarts.polytope.Polytope.lazy_slice">lazy_slice() (qdarts.polytope.Polytope method)</a>
+</li>
+ <li><a href="interfaces/qdarts.tunneling_simulator.LocalSystem.html#qdarts.tunneling_simulator.LocalSystem">LocalSystem (class in qdarts.tunneling_simulator)</a>
+</li>
+ </ul></td>
+</tr></table>
+
+<h2 id="M">M</h2>
+<table style="width: 100%" class="indextable genindextable"><tr>
+ <td style="width: 33%; vertical-align: top;"><ul>
+ <li><a href="interfaces/qdarts.tunneling_simulator.LocalSystem.html#qdarts.tunneling_simulator.LocalSystem.mixed_state">mixed_state (qdarts.tunneling_simulator.LocalSystem property)</a>
+</li>
+ </ul></td>
+ <td style="width: 33%; vertical-align: top;"><ul>
+ <li><a href="interfaces/qdarts.polytope.Polytope.html#qdarts.polytope.Polytope.must_verify">must_verify (qdarts.polytope.Polytope attribute)</a>
+</li>
+ </ul></td>
+</tr></table>
+
+<h2 id="N">N</h2>
+<table style="width: 100%" class="indextable genindextable"><tr>
+ <td style="width: 33%; vertical-align: top;"><ul>
+ <li><a href="interfaces/qdarts.noise_processes.OU_process.html#qdarts.noise_processes.OU_process.next_val">next_val() (qdarts.noise_processes.OU_process method)</a>
+</li>
+ <li><a href="interfaces/qdarts.tunneling_simulator.NoisySensorDot.html#qdarts.tunneling_simulator.NoisySensorDot">NoisySensorDot (class in qdarts.tunneling_simulator)</a>
+</li>
+ <li><a href="interfaces/qdarts.tunneling_simulator.ApproximateTunnelingSimulator.html#qdarts.tunneling_simulator.ApproximateTunnelingSimulator.num_additional_neighbours">num_additional_neighbours (qdarts.tunneling_simulator.ApproximateTunnelingSimulator attribute)</a>
+</li>
+ <li><a href="interfaces/qdarts.capacitance_model.AbstractCapacitanceModel.html#qdarts.capacitance_model.AbstractCapacitanceModel.num_dots">num_dots (qdarts.capacitance_model.AbstractCapacitanceModel attribute)</a>
+
+ <ul>
+ <li><a href="interfaces/qdarts.simulator.AbstractPolytopeSimulator.html#qdarts.simulator.AbstractPolytopeSimulator.num_dots">(qdarts.simulator.AbstractPolytopeSimulator attribute)</a>
+</li>
+ </ul></li>
+ </ul></td>
+ <td style="width: 33%; vertical-align: top;"><ul>
+ <li><a href="interfaces/qdarts.noise_processes.AbstractNoiseProcess.html#qdarts.noise_processes.AbstractNoiseProcess.num_elements">num_elements (qdarts.noise_processes.AbstractNoiseProcess attribute)</a>
+</li>
+ <li><a href="interfaces/qdarts.capacitance_model.AbstractCapacitanceModel.html#qdarts.capacitance_model.AbstractCapacitanceModel.num_inputs">num_inputs (qdarts.capacitance_model.AbstractCapacitanceModel attribute)</a>
+
+ <ul>
+ <li><a href="interfaces/qdarts.simulator.AbstractPolytopeSimulator.html#qdarts.simulator.AbstractPolytopeSimulator.num_inputs">(qdarts.simulator.AbstractPolytopeSimulator attribute)</a>
+</li>
+ </ul></li>
+ </ul></td>
+</tr></table>
+
+<h2 id="O">O</h2>
+<table style="width: 100%" class="indextable genindextable"><tr>
+ <td style="width: 33%; vertical-align: top;"><ul>
+ <li><a href="interfaces/qdarts.noise_processes.OU_process.html#qdarts.noise_processes.OU_process">OU_process (class in qdarts.noise_processes)</a>
+</li>
+ </ul></td>
+</tr></table>
+
+<h2 id="P">P</h2>
+<table style="width: 100%" class="indextable genindextable"><tr>
+ <td style="width: 33%; vertical-align: top;"><ul>
+ <li><a href="interfaces/qdarts.polytope.Polytope.html#qdarts.polytope.Polytope.point_inside">point_inside (qdarts.polytope.Polytope attribute)</a>
+</li>
+ <li><a href="interfaces/qdarts.tunneling_simulator.ApproximateTunnelingSimulator.html#qdarts.tunneling_simulator.ApproximateTunnelingSimulator.poly_sim">poly_sim (qdarts.tunneling_simulator.ApproximateTunnelingSimulator attribute)</a>
+</li>
+ </ul></td>
+ <td style="width: 33%; vertical-align: top;"><ul>
+ <li><a href="interfaces/qdarts.polytope.Polytope.html#qdarts.polytope.Polytope">Polytope (class in qdarts.polytope)</a>
+</li>
+ <li><a href="interfaces/qdarts.tunneling_simulator.AbstractSensorSim.html#qdarts.tunneling_simulator.AbstractSensorSim.precompute_sensor_state">precompute_sensor_state() (qdarts.tunneling_simulator.AbstractSensorSim method)</a>
+
+ <ul>
+ <li><a href="interfaces/qdarts.tunneling_simulator.NoisySensorDot.html#qdarts.tunneling_simulator.NoisySensorDot.precompute_sensor_state">(qdarts.tunneling_simulator.NoisySensorDot method)</a>
+</li>
+ </ul></li>
+ </ul></td>
+</tr></table>
+
+<h2 id="S">S</h2>
+<table style="width: 100%" class="indextable genindextable"><tr>
+ <td style="width: 33%; vertical-align: top;"><ul>
+ <li><a href="interfaces/qdarts.tunneling_simulator.AbstractSensorSim.html#qdarts.tunneling_simulator.AbstractSensorSim.sample_sensor_configuration">sample_sensor_configuration() (qdarts.tunneling_simulator.AbstractSensorSim method)</a>
+
+ <ul>
+ <li><a href="interfaces/qdarts.tunneling_simulator.LocalSystem.html#qdarts.tunneling_simulator.LocalSystem.sample_sensor_configuration">(qdarts.tunneling_simulator.LocalSystem method)</a>
+</li>
+ <li><a href="interfaces/qdarts.tunneling_simulator.NoisySensorDot.html#qdarts.tunneling_simulator.NoisySensorDot.sample_sensor_configuration">(qdarts.tunneling_simulator.NoisySensorDot method)</a>
+</li>
+ </ul></li>
+ <li><a href="interfaces/qdarts.tunneling_simulator.AbstractSensorSim.html#qdarts.tunneling_simulator.AbstractSensorSim.sample_sensor_equilibrium">sample_sensor_equilibrium() (qdarts.tunneling_simulator.AbstractSensorSim method)</a>
+
+ <ul>
+ <li><a href="interfaces/qdarts.tunneling_simulator.LocalSystem.html#qdarts.tunneling_simulator.LocalSystem.sample_sensor_equilibrium">(qdarts.tunneling_simulator.LocalSystem method)</a>
+</li>
+ <li><a href="interfaces/qdarts.tunneling_simulator.NoisySensorDot.html#qdarts.tunneling_simulator.NoisySensorDot.sample_sensor_equilibrium">(qdarts.tunneling_simulator.NoisySensorDot method)</a>
+</li>
+ </ul></li>
+ <li><a href="interfaces/qdarts.tunneling_simulator.ApproximateTunnelingSimulator.html#qdarts.tunneling_simulator.ApproximateTunnelingSimulator.sensor_scan">sensor_scan() (qdarts.tunneling_simulator.ApproximateTunnelingSimulator method)</a>
+</li>
+ <li><a href="interfaces/qdarts.tunneling_simulator.ApproximateTunnelingSimulator.html#qdarts.tunneling_simulator.ApproximateTunnelingSimulator.sensor_scan_2D">sensor_scan_2D() (qdarts.tunneling_simulator.ApproximateTunnelingSimulator method)</a>
+</li>
+ <li><a href="interfaces/qdarts.tunneling_simulator.ApproximateTunnelingSimulator.html#qdarts.tunneling_simulator.ApproximateTunnelingSimulator.sensor_sim">sensor_sim (qdarts.tunneling_simulator.ApproximateTunnelingSimulator attribute)</a>
+</li>
+ <li><a href="interfaces/qdarts.simulator.AbstractCapacitiveDeviceSimulator.html#qdarts.simulator.AbstractCapacitiveDeviceSimulator.set_maximum_polytope_slack">set_maximum_polytope_slack() (qdarts.simulator.AbstractCapacitiveDeviceSimulator method)</a>
+
+ <ul>
+ <li><a href="interfaces/qdarts.simulator.CapacitiveDeviceSimulator.html#qdarts.simulator.CapacitiveDeviceSimulator.set_maximum_polytope_slack">(qdarts.simulator.CapacitiveDeviceSimulator method)</a>
+</li>
+ </ul></li>
+ <li><a href="interfaces/qdarts.polytope.Polytope.html#qdarts.polytope.Polytope.set_polytope">set_polytope() (qdarts.polytope.Polytope method)</a>
+</li>
+ <li><a href="interfaces/qdarts.polytope.Polytope.html#qdarts.polytope.Polytope.slacks">slacks (qdarts.polytope.Polytope attribute)</a>
+</li>
+ <li><a href="interfaces/qdarts.capacitance_model.AbstractCapacitanceModel.html#qdarts.capacitance_model.AbstractCapacitanceModel.slice">slice() (qdarts.capacitance_model.AbstractCapacitanceModel method)</a>
+
+ <ul>
+ <li><a href="interfaces/qdarts.capacitance_model.CapacitanceModel.html#qdarts.capacitance_model.CapacitanceModel.slice">(qdarts.capacitance_model.CapacitanceModel method)</a>
+</li>
+ <li><a href="interfaces/qdarts.noise_processes.AbstractNoiseProcess.html#qdarts.noise_processes.AbstractNoiseProcess.slice">(qdarts.noise_processes.AbstractNoiseProcess method)</a>
+</li>
+ <li><a href="interfaces/qdarts.noise_processes.Cosine_Mean_Function.html#qdarts.noise_processes.Cosine_Mean_Function.slice">(qdarts.noise_processes.Cosine_Mean_Function method)</a>
+</li>
+ <li><a href="interfaces/qdarts.noise_processes.OU_process.html#qdarts.noise_processes.OU_process.slice">(qdarts.noise_processes.OU_process method)</a>
+</li>
+ <li><a href="interfaces/qdarts.simulator.AbstractCapacitiveDeviceSimulator.html#qdarts.simulator.AbstractCapacitiveDeviceSimulator.slice">(qdarts.simulator.AbstractCapacitiveDeviceSimulator method)</a>
+</li>
+ <li><a href="interfaces/qdarts.simulator.AbstractPolytopeSimulator.html#qdarts.simulator.AbstractPolytopeSimulator.slice">(qdarts.simulator.AbstractPolytopeSimulator method)</a>
+</li>
+ <li><a href="interfaces/qdarts.simulator.CapacitiveDeviceSimulator.html#qdarts.simulator.CapacitiveDeviceSimulator.slice">(qdarts.simulator.CapacitiveDeviceSimulator method)</a>
+</li>
+ <li><a href="interfaces/qdarts.tunneling_simulator.AbstractSensorSim.html#qdarts.tunneling_simulator.AbstractSensorSim.slice">(qdarts.tunneling_simulator.AbstractSensorSim method)</a>
+</li>
+ <li><a href="interfaces/qdarts.tunneling_simulator.ApproximateTunnelingSimulator.html#qdarts.tunneling_simulator.ApproximateTunnelingSimulator.slice">(qdarts.tunneling_simulator.ApproximateTunnelingSimulator method)</a>
+</li>
+ <li><a href="interfaces/qdarts.tunneling_simulator.NoisySensorDot.html#qdarts.tunneling_simulator.NoisySensorDot.slice">(qdarts.tunneling_simulator.NoisySensorDot method)</a>
+</li>
+ <li><a href="interfaces/qdarts.tunneling_simulator.TunnelBarrierModel.html#qdarts.tunneling_simulator.TunnelBarrierModel.slice">(qdarts.tunneling_simulator.TunnelBarrierModel method)</a>
+</li>
+ </ul></li>
+ </ul></td>
+ <td style="width: 33%; vertical-align: top;"><ul>
+ <li><a href="interfaces/qdarts.tunneling_simulator.AbstractSensorSim.html#qdarts.tunneling_simulator.AbstractSensorSim.start_measurement">start_measurement() (qdarts.tunneling_simulator.AbstractSensorSim method)</a>
+
+ <ul>
+ <li><a href="interfaces/qdarts.tunneling_simulator.NoisySensorDot.html#qdarts.tunneling_simulator.NoisySensorDot.start_measurement">(qdarts.tunneling_simulator.NoisySensorDot method)</a>
+</li>
+ </ul></li>
+ <li><a href="interfaces/qdarts.noise_processes.AbstractNoiseProcess.html#qdarts.noise_processes.AbstractNoiseProcess.start_sequence">start_sequence() (qdarts.noise_processes.AbstractNoiseProcess method)</a>
+
+ <ul>
+ <li><a href="interfaces/qdarts.noise_processes.Cosine_Mean_Function.html#qdarts.noise_processes.Cosine_Mean_Function.start_sequence">(qdarts.noise_processes.Cosine_Mean_Function method)</a>
+</li>
+ <li><a href="interfaces/qdarts.noise_processes.OU_process.html#qdarts.noise_processes.OU_process.start_sequence">(qdarts.noise_processes.OU_process method)</a>
+</li>
+ </ul></li>
+ <li><a href="interfaces/qdarts.polytope.Polytope.html#qdarts.polytope.Polytope.state">state (qdarts.polytope.Polytope attribute)</a>
+
+ <ul>
+ <li><a href="interfaces/qdarts.tunneling_simulator.LocalSystem.html#qdarts.tunneling_simulator.LocalSystem.state">(qdarts.tunneling_simulator.LocalSystem attribute)</a>
+</li>
+ </ul></li>
+ </ul></td>
+</tr></table>
+
+<h2 id="T">T</h2>
+<table style="width: 100%" class="indextable genindextable"><tr>
+ <td style="width: 33%; vertical-align: top;"><ul>
+ <li><a href="interfaces/qdarts.tunneling_simulator.ApproximateTunnelingSimulator.html#qdarts.tunneling_simulator.ApproximateTunnelingSimulator.T">T (qdarts.tunneling_simulator.ApproximateTunnelingSimulator attribute)</a>
+</li>
+ </ul></td>
+ <td style="width: 33%; vertical-align: top;"><ul>
+ <li><a href="interfaces/qdarts.tunneling_simulator.TunnelBarrierModel.html#qdarts.tunneling_simulator.TunnelBarrierModel">TunnelBarrierModel (class in qdarts.tunneling_simulator)</a>
+</li>
+ </ul></td>
+</tr></table>
+
+<h2 id="V">V</h2>
+<table style="width: 100%" class="indextable genindextable"><tr>
+ <td style="width: 33%; vertical-align: top;"><ul>
+ <li><a href="interfaces/qdarts.tunneling_simulator.LocalSystem.html#qdarts.tunneling_simulator.LocalSystem.v">v (qdarts.tunneling_simulator.LocalSystem attribute)</a>
+</li>
+ </ul></td>
+ <td style="width: 33%; vertical-align: top;"><ul>
+ <li><a href="interfaces/qdarts.capacitance_model.AbstractCapacitanceModel.html#qdarts.capacitance_model.AbstractCapacitanceModel.verify_polytope">verify_polytope() (qdarts.capacitance_model.AbstractCapacitanceModel method)</a>
+</li>
+ </ul></td>
+</tr></table>
+
+
+
+ </div>
+
+ </div>
+ </div>
+ <div class="sphinxsidebar" role="navigation" aria-label="main navigation">
+ <div class="sphinxsidebarwrapper">
+<h1 class="logo"><a href="index.html">QDarts</a></h1>
+
+
+
+
+
+
+
+
+<h3>Navigation</h3>
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="api_tutorial.html">API Usage Tutorial</a></li>
+<li class="toctree-l1"><a class="reference internal" href="api.html">API</a></li>
+</ul>
+
+<div class="relations">
+<h3>Related Topics</h3>
+<ul>
+ <li><a href="index.html">Documentation overview</a><ul>
+ </ul></li>
+</ul>
+</div>
+<search id="searchbox" style="display: none" role="search">
+ <h3 id="searchlabel">Quick search</h3>
+ <div class="searchformwrapper">
+ <form class="search" action="search.html" method="get">
+ <input type="text" name="q" aria-labelledby="searchlabel" autocomplete="off" autocorrect="off" autocapitalize="off" spellcheck="false"/>
+ <input type="submit" value="Go" />
+ </form>
+ </div>
+</search>
+<script>document.getElementById('searchbox').style.display = "block"</script>
+
+
+
+
+
+
+
+
+ </div>
+ </div>
+ <div class="clearer"></div>
+ </div>
+ <div class="footer">
+ ©2024, Oswin Krause, Jan Krzywda, Weikun Liu, Evert van Nieuwenburg.
+
+ |
+ Powered by <a href="https://www.sphinx-doc.org/">Sphinx 7.3.7</a>
+ & <a href="https://alabaster.readthedocs.io">Alabaster 0.7.16</a>
+
+ </div>
+
+
+
+
+ </body>
+</html>
\ No newline at end of file
diff --git a/QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/docs/index.html b/QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/docs/index.html
new file mode 100644
index 0000000..77461a7
--- /dev/null
+++ b/QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/docs/index.html
@@ -0,0 +1,127 @@
+<!DOCTYPE html>
+
+<html lang="en" data-content_root="./">
+ <head>
+ <meta charset="utf-8" />
+ <meta name="viewport" content="width=device-width, initial-scale=1.0" /><meta name="generator" content="Docutils 0.18.1: http://docutils.sourceforge.net/" />
+
+ <title>QDarts — QDarts documentation</title>
+ <link rel="stylesheet" type="text/css" href="_static/pygments.css?v=61cd365c" />
+ <link rel="stylesheet" type="text/css" href="_static/alabaster.css?v=12dfc556" />
+ <script src="_static/documentation_options.js?v=5929fcd5"></script>
+ <script src="_static/doctools.js?v=9a2dae69"></script>
+ <script src="_static/sphinx_highlight.js?v=dc90522c"></script>
+ <script async="async" src="https://cdn.jsdelivr.net/npm/mathjax@3/es5/tex-mml-chtml.js"></script>
+ <link rel="index" title="Index" href="genindex.html" />
+ <link rel="search" title="Search" href="search.html" />
+ <link rel="next" title="API Usage Tutorial" href="api_tutorial.html" />
+
+ <link rel="stylesheet" href="_static/custom.css" type="text/css" />
+
+
+
+
+
+ </head><body>
+
+
+ <div class="document">
+ <div class="documentwrapper">
+ <div class="bodywrapper">
+
+
+ <div class="body" role="main">
+
+ <section id="qdarts">
+<h1>QDarts<a class="headerlink" href="#qdarts" title="Link to this heading">¶</a></h1>
+<section id="installation">
+<h2>Installation<a class="headerlink" href="#installation" title="Link to this heading">¶</a></h2>
+<p>Installation can be done via <code class="docutils literal notranslate"><span class="pre">python</span> <span class="pre">build</span></code>. In the QDarts directory, run:</p>
+<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="n">make</span> <span class="n">build</span>
+<span class="n">python3</span> <span class="o">-</span><span class="n">m</span> <span class="n">pip</span> <span class="n">install</span> <span class="n">QDarts</span><span class="o">/</span><span class="n">dist</span><span class="o">/</span><span class="n">QDarts</span><span class="o">-<</span><span class="n">Version</span><span class="o">>-</span><span class="n">py3</span><span class="o">-</span><span class="n">none</span><span class="o">-</span><span class="nb">any</span><span class="o">.</span><span class="n">whl</span>
+</pre></div>
+</div>
+<p>where <code class="docutils literal notranslate"><span class="pre"><Version></span></code> is the current QDarts version.</p>
+</section>
+<section id="documentation">
+<h2>Documentation<a class="headerlink" href="#documentation" title="Link to this heading">¶</a></h2>
+<p>A usage example is provided in the ipython notebook in the <code class="docutils literal notranslate"><span class="pre">examples/</span></code> folder.
+Below you find the <cite>detailed documentation of ``QDarts`</cite></p>
+<div class="toctree-wrapper compound">
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="api_tutorial.html">API Usage Tutorial</a></li>
+<li class="toctree-l1"><a class="reference internal" href="api.html">API</a></li>
+</ul>
+</div>
+</section>
+</section>
+
+
+ </div>
+
+ </div>
+ </div>
+ <div class="sphinxsidebar" role="navigation" aria-label="main navigation">
+ <div class="sphinxsidebarwrapper">
+<h1 class="logo"><a href="#">QDarts</a></h1>
+
+
+
+
+
+
+
+
+<h3>Navigation</h3>
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="api_tutorial.html">API Usage Tutorial</a></li>
+<li class="toctree-l1"><a class="reference internal" href="api.html">API</a></li>
+</ul>
+
+<div class="relations">
+<h3>Related Topics</h3>
+<ul>
+ <li><a href="#">Documentation overview</a><ul>
+ <li>Next: <a href="api_tutorial.html" title="next chapter">API Usage Tutorial</a></li>
+ </ul></li>
+</ul>
+</div>
+<search id="searchbox" style="display: none" role="search">
+ <h3 id="searchlabel">Quick search</h3>
+ <div class="searchformwrapper">
+ <form class="search" action="search.html" method="get">
+ <input type="text" name="q" aria-labelledby="searchlabel" autocomplete="off" autocorrect="off" autocapitalize="off" spellcheck="false"/>
+ <input type="submit" value="Go" />
+ </form>
+ </div>
+</search>
+<script>document.getElementById('searchbox').style.display = "block"</script>
+
+
+
+
+
+
+
+
+ </div>
+ </div>
+ <div class="clearer"></div>
+ </div>
+ <div class="footer">
+ ©2024, Oswin Krause, Jan Krzywda, Weikun Liu, Evert van Nieuwenburg.
+
+ |
+ Powered by <a href="https://www.sphinx-doc.org/">Sphinx 7.3.7</a>
+ & <a href="https://alabaster.readthedocs.io">Alabaster 0.7.16</a>
+
+ |
+ <a href="_sources/index.rst.txt"
+ rel="nofollow">Page source</a>
+ </div>
+
+
+
+
+ </body>
+</html>
\ No newline at end of file
diff --git a/QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/docs/interfaces/qdarts.capacitance_model.AbstractCapacitanceModel.html b/QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/docs/interfaces/qdarts.capacitance_model.AbstractCapacitanceModel.html
new file mode 100644
index 0000000..823061c
--- /dev/null
+++ b/QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/docs/interfaces/qdarts.capacitance_model.AbstractCapacitanceModel.html
@@ -0,0 +1,319 @@
+<!DOCTYPE html>
+
+<html lang="en" data-content_root="../">
+ <head>
+ <meta charset="utf-8" />
+ <meta name="viewport" content="width=device-width, initial-scale=1.0" /><meta name="generator" content="Docutils 0.18.1: http://docutils.sourceforge.net/" />
+
+ <title>qdarts.capacitance_model.AbstractCapacitanceModel — QDarts documentation</title>
+ <link rel="stylesheet" type="text/css" href="../_static/pygments.css?v=61cd365c" />
+ <link rel="stylesheet" type="text/css" href="../_static/alabaster.css?v=12dfc556" />
+ <script src="../_static/documentation_options.js?v=5929fcd5"></script>
+ <script src="../_static/doctools.js?v=9a2dae69"></script>
+ <script src="../_static/sphinx_highlight.js?v=dc90522c"></script>
+ <script async="async" src="https://cdn.jsdelivr.net/npm/mathjax@3/es5/tex-mml-chtml.js"></script>
+ <link rel="index" title="Index" href="../genindex.html" />
+ <link rel="search" title="Search" href="../search.html" />
+ <link rel="next" title="qdarts.simulator.AbstractPolytopeSimulator" href="qdarts.simulator.AbstractPolytopeSimulator.html" />
+ <link rel="prev" title="qdarts.polytope.Polytope" href="qdarts.polytope.Polytope.html" />
+
+ <link rel="stylesheet" href="../_static/custom.css" type="text/css" />
+
+
+
+
+
+ </head><body>
+
+
+ <div class="document">
+ <div class="documentwrapper">
+ <div class="bodywrapper">
+
+
+ <div class="body" role="main">
+
+ <section id="qdarts-capacitance-model-abstractcapacitancemodel">
+<h1>qdarts.capacitance_model.AbstractCapacitanceModel<a class="headerlink" href="#qdarts-capacitance-model-abstractcapacitancemodel" title="Link to this heading">¶</a></h1>
+<dl class="py class">
+<dt class="sig sig-object py" id="qdarts.capacitance_model.AbstractCapacitanceModel">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">qdarts.capacitance_model.</span></span><span class="sig-name descname"><span class="pre">AbstractCapacitanceModel</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">num_dots</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">num_inputs</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">bounds_limits</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">bounds_normals</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#qdarts.capacitance_model.AbstractCapacitanceModel" title="Link to this definition">¶</a></dt>
+<dd><p>Base Class for all capacitance models.</p>
+<p>This class provides all required meta information to compute capacitive energies of a system with electron configuration
+n and gate voltages v, E(v,n). The only required to this model is that E(v,n)-E(v,n’) is a linear function in v and that energies
+are measured in eV.
+The class provides basic abilities: enumeration of possible transition states from a given state and computation/verification of a polytope P(n) for a state.
+For this, the user only needs to provide functions to generate transition equations and a function that allows to slice the voltage space.</p>
+<p>As a base class it only needs to know the number of gates/inputs and the number of dots of the array. Additionally
+the user must supply voltage bounds that ensure that all computed polytopes are bounded. In practical devices these would be voltage limits
+e.g., for device protection.</p>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="qdarts.capacitance_model.AbstractCapacitanceModel.num_dots">
+<span class="sig-name descname"><span class="pre">num_dots</span></span><a class="headerlink" href="#qdarts.capacitance_model.AbstractCapacitanceModel.num_dots" title="Link to this definition">¶</a></dt>
+<dd><p>the number of discrete dot locations on the device. This is the number of elements in the electron state n.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Type<span class="colon">:</span></dt>
+<dd class="field-odd"><p>int</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="qdarts.capacitance_model.AbstractCapacitanceModel.num_inputs">
+<span class="sig-name descname"><span class="pre">num_inputs</span></span><a class="headerlink" href="#qdarts.capacitance_model.AbstractCapacitanceModel.num_inputs" title="Link to this definition">¶</a></dt>
+<dd><p>The number of gate voltages of the device.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Type<span class="colon">:</span></dt>
+<dd class="field-odd"><p>int</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="qdarts.capacitance_model.AbstractCapacitanceModel.bounds_limits">
+<span class="sig-name descname"><span class="pre">bounds_limits</span></span><a class="headerlink" href="#qdarts.capacitance_model.AbstractCapacitanceModel.bounds_limits" title="Link to this definition">¶</a></dt>
+<dd><p>right hand side of the bound inequalities.
+set of linear inequalities A that provide bounds for the voltage space.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Type<span class="colon">:</span></dt>
+<dd class="field-odd"><p>N np.array of float</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="qdarts.capacitance_model.AbstractCapacitanceModel.__init__">
+<span class="sig-name descname"><span class="pre">__init__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">num_dots</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">num_inputs</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">bounds_limits</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">bounds_normals</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#qdarts.capacitance_model.AbstractCapacitanceModel.__init__" title="Link to this definition">¶</a></dt>
+<dd><p>Initializes the model.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>num_dots</strong> (<em>int</em>) – the number of discrete dot locations on the device. This is the number of elements in the electron state n.</p></li>
+<li><p><strong>num_inputs</strong> (<em>int</em>) – The number of gate voltages of the device.</p></li>
+<li><p><strong>bounds_limits</strong> (<em>N np.array</em><em> of </em><em>float</em>) – right hand side of the bound inequalities. If bounds_normals is none, this is interpreted as lower bounds and thus N=num_inputs</p></li>
+<li><p><strong>bounds_normals</strong> (<em>N x num_inputs np.array</em><em> of </em><em>float</em>) – set of linear inequalities A that provide bounds for the voltage space. A valid voltage v fulfils Av+b<0, where b is
+bounds_limits. Can be none, in which case A=-Id.</p></li>
+</ul>
+</dd>
+</dl>
+</dd></dl>
+
+<p class="rubric">Methods</p>
+<table class="autosummary longtable docutils align-default">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#qdarts.capacitance_model.AbstractCapacitanceModel.__init__" title="qdarts.capacitance_model.AbstractCapacitanceModel.__init__"><code class="xref py py-obj docutils literal notranslate"><span class="pre">__init__</span></code></a>(num_dots, num_inputs, ...)</p></td>
+<td><p>Initializes the model.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#qdarts.capacitance_model.AbstractCapacitanceModel.compute_polytope_for_state" title="qdarts.capacitance_model.AbstractCapacitanceModel.compute_polytope_for_state"><code class="xref py py-obj docutils literal notranslate"><span class="pre">compute_polytope_for_state</span></code></a>(state, maximum_slack)</p></td>
+<td><p>For a given state, computes P(N)</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#qdarts.capacitance_model.AbstractCapacitanceModel.compute_transition_equations" title="qdarts.capacitance_model.AbstractCapacitanceModel.compute_transition_equations"><code class="xref py py-obj docutils literal notranslate"><span class="pre">compute_transition_equations</span></code></a>(state_list, state)</p></td>
+<td><p>For a given state n and a list of other states (n_1,...n_N), computes the set of linear equations E(v,n)-E(v,n_i).</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#qdarts.capacitance_model.AbstractCapacitanceModel.enumerate_neighbours" title="qdarts.capacitance_model.AbstractCapacitanceModel.enumerate_neighbours"><code class="xref py py-obj docutils literal notranslate"><span class="pre">enumerate_neighbours</span></code></a>(state)</p></td>
+<td><p>Generates a state_list object for compute_transition_equations,</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#qdarts.capacitance_model.AbstractCapacitanceModel.slice" title="qdarts.capacitance_model.AbstractCapacitanceModel.slice"><code class="xref py py-obj docutils literal notranslate"><span class="pre">slice</span></code></a>(P, m)</p></td>
+<td><p>Restricts the model to the affine subspace v=m+Pv'</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#qdarts.capacitance_model.AbstractCapacitanceModel.verify_polytope" title="qdarts.capacitance_model.AbstractCapacitanceModel.verify_polytope"><code class="xref py py-obj docutils literal notranslate"><span class="pre">verify_polytope</span></code></a>(polytope, maximum_slack)</p></td>
+<td><p>Verifies a polytope.</p></td>
+</tr>
+</tbody>
+</table>
+<dl class="py method">
+<dt class="sig sig-object py" id="qdarts.capacitance_model.AbstractCapacitanceModel.compute_polytope_for_state">
+<span class="sig-name descname"><span class="pre">compute_polytope_for_state</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">state</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">maximum_slack</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#qdarts.capacitance_model.AbstractCapacitanceModel.compute_polytope_for_state" title="Link to this definition">¶</a></dt>
+<dd><p>For a given state, computes P(N)</p>
+<p>Calls enumerate_neighbours and compute_transition_equations to obtain a list of
+possible transitions and then removes from this list iteratively
+all transitions that are not sufficiently close to the polytope.</p>
+<p>This is computed by computing the slack. The slack is 0 if the ith transition is a facet of
+the polytope, otherwise it is a positive number computed as</p>
+<p><span class="math notranslate nohighlight">\(s_i = min_v A_i^Tv +b_i, v \in P(n)\)</span></p>
+<p>This function retains all facets that have slack smaller than maximum_slack.
+Since enregy differences are measure din eV, the slack represents the minimum
+energy difference between the ground state and the state represented by the transition
+for any point inside the polytope.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>state</strong> (<em>D np.array</em><em> of </em><em>int</em>) – The electron configuration n for which to compute P(n)</p></li>
+<li><p><strong>maximum_slack</strong> (<em>float</em>) – The maximum distance in eV after which the transition is discarded</p></li>
+</ul>
+</dd>
+<dt class="field-even">Return type<span class="colon">:</span></dt>
+<dd class="field-even"><p>A Polytope object representing P(n). See documentation of Polytope.</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="qdarts.capacitance_model.AbstractCapacitanceModel.compute_transition_equations">
+<em class="property"><span class="pre">abstract</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">compute_transition_equations</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">state_list</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">state</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#qdarts.capacitance_model.AbstractCapacitanceModel.compute_transition_equations" title="Link to this definition">¶</a></dt>
+<dd><p>For a given state n and a list of other states (n_1,…n_N), computes the set of
+linear equations E(v,n)-E(v,n_i). Must be implemented by derived classes.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>state</strong> (<em>K np.array</em><em> of </em><em>int</em>) – State n</p></li>
+<li><p><strong>state_list</strong> (<em>NxK np.array</em><em> of </em><em>int</em>) – list of other states (n_1,…n_N)</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><ul class="simple">
+<li><p><em>(A,b) set of linear equations represented by matrix A and offset b. The ith element computes</em></p></li>
+<li><p><em>E(v,n)-E(v,n_i) as a function of v.</em></p></li>
+</ul>
+</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="qdarts.capacitance_model.AbstractCapacitanceModel.enumerate_neighbours">
+<span class="sig-name descname"><span class="pre">enumerate_neighbours</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">state</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#qdarts.capacitance_model.AbstractCapacitanceModel.enumerate_neighbours" title="Link to this definition">¶</a></dt>
+<dd><p>Generates a state_list object for compute_transition_equations,</p>
+<p>Enumerates the set of neighbours of a transition to return all possible
+state transitions. In this class it is implemented by returning all possible
+states that can be reached by any combintion of adding or removing an electron on any dot.
+As a result, this list has 3^D-1 elements, where D is the number of dots.</p>
+<p>Derived classes may overwrite this if they want to consider a more restricted set of transitions.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>state</strong> (<em>D np.array</em><em> of </em><em>int</em>) – The state for which to enumerate all neighbours</p>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><ul class="simple">
+<li><p><em>List of lists of neighbours. By default only a list including a list of all neighbours is returned.</em></p></li>
+<li><p><em>Derived classes may decide to instead return several lists each representing a batch of transitions.</em></p></li>
+<li><p><em>Aong those lists, states do not need to be unique but instead represent groups of elements that can</em></p></li>
+<li><p><em>filtered efficiently by the solver, e.g., by adding all states that can be used to filter a lot of other</em></p></li>
+<li><p><em>states in the list quickly. This is only ever relevant when larger arrays need to be computed.</em></p></li>
+</ul>
+</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="qdarts.capacitance_model.AbstractCapacitanceModel.slice">
+<em class="property"><span class="pre">abstract</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">slice</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">P</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">m</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#qdarts.capacitance_model.AbstractCapacitanceModel.slice" title="Link to this definition">¶</a></dt>
+<dd><p>Restricts the model to the affine subspace v=m+Pv’</p>
+<p>Computes the slice through the device by setting v=m+Pv’, where v is the plunger gate voltages of the
+original device and v’ is the new coordinate system. Must be implemented by derived classes. Note
+that derived classes also need to apply the affine transformation to the bounds variables</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>P</strong> (<em>MxK np.array</em><em> of </em><em>floats</em>) – The linear coefficient matrix. Here M is the number of voltage elements in v in the full simulation
+and K the dimensionality of the subspace.</p></li>
+<li><p><strong>m</strong> (<em>M np.array</em><em> of </em><em>floats</em>) – offset of the affine trnsformation.</p></li>
+</ul>
+</dd>
+<dt class="field-even">Return type<span class="colon">:</span></dt>
+<dd class="field-even"><p>A model object describing the simulation on the affine subspace.</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="qdarts.capacitance_model.AbstractCapacitanceModel.verify_polytope">
+<span class="sig-name descname"><span class="pre">verify_polytope</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">polytope</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">maximum_slack</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#qdarts.capacitance_model.AbstractCapacitanceModel.verify_polytope" title="Link to this definition">¶</a></dt>
+<dd><p>Verifies a polytope.</p>
+<p>After slicing, polytopes that have been computed earlier also need to be sliced. It is inefficient to recompute
+the polytopes from scratch, as slicing can only remove, but never add transitions. verify_polytope allows to take
+a polytope that has been modified via polytope.layz_slice and verify/filter all transitions. This recomputes
+all slack variables and removes all transitions that have slack larger than maximum slack</p>
+<p>Note that this does not touch any other internal information stored in the polytope.
+This function doe snothing if polytope.must_verify=False</p>
+<p>TOOD: this should be moved somewhere else.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>polytope</strong> (<a class="reference internal" href="qdarts.polytope.Polytope.html#qdarts.polytope.Polytope" title="qdarts.polytope.Polytope"><em>Polytope</em></a>) – The polytope P(n) to be verified</p></li>
+<li><p><strong>maximum_slack</strong> (<em>float</em>) – The maximum distance in eV after which a transition of the polytope is discarded</p></li>
+</ul>
+</dd>
+<dt class="field-even">Return type<span class="colon">:</span></dt>
+<dd class="field-even"><p>The updated polytope after filtering out transitions.</p>
+</dd>
+</dl>
+</dd></dl>
+
+</dd></dl>
+
+</section>
+
+
+ </div>
+
+ </div>
+ </div>
+ <div class="sphinxsidebar" role="navigation" aria-label="main navigation">
+ <div class="sphinxsidebarwrapper">
+<h1 class="logo"><a href="../index.html">QDarts</a></h1>
+
+
+
+
+
+
+
+
+<h3>Navigation</h3>
+<ul class="current">
+<li class="toctree-l1"><a class="reference internal" href="../api_tutorial.html">API Usage Tutorial</a></li>
+<li class="toctree-l1 current"><a class="reference internal" href="../api.html">API</a></li>
+</ul>
+
+<div class="relations">
+<h3>Related Topics</h3>
+<ul>
+ <li><a href="../index.html">Documentation overview</a><ul>
+ <li><a href="../api.html">API</a><ul>
+ <li>Previous: <a href="qdarts.polytope.Polytope.html" title="previous chapter">qdarts.polytope.Polytope</a></li>
+ <li>Next: <a href="qdarts.simulator.AbstractPolytopeSimulator.html" title="next chapter">qdarts.simulator.AbstractPolytopeSimulator</a></li>
+ </ul></li>
+ </ul></li>
+</ul>
+</div>
+<search id="searchbox" style="display: none" role="search">
+ <h3 id="searchlabel">Quick search</h3>
+ <div class="searchformwrapper">
+ <form class="search" action="../search.html" method="get">
+ <input type="text" name="q" aria-labelledby="searchlabel" autocomplete="off" autocorrect="off" autocapitalize="off" spellcheck="false"/>
+ <input type="submit" value="Go" />
+ </form>
+ </div>
+</search>
+<script>document.getElementById('searchbox').style.display = "block"</script>
+
+
+
+
+
+
+
+
+ </div>
+ </div>
+ <div class="clearer"></div>
+ </div>
+ <div class="footer">
+ ©2024, Oswin Krause, Jan Krzywda, Weikun Liu, Evert van Nieuwenburg.
+
+ |
+ Powered by <a href="https://www.sphinx-doc.org/">Sphinx 7.3.7</a>
+ & <a href="https://alabaster.readthedocs.io">Alabaster 0.7.16</a>
+
+ |
+ <a href="../_sources/interfaces/qdarts.capacitance_model.AbstractCapacitanceModel.rst.txt"
+ rel="nofollow">Page source</a>
+ </div>
+
+
+
+
+ </body>
+</html>
\ No newline at end of file
diff --git a/QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/docs/interfaces/qdarts.capacitance_model.CapacitanceModel.html b/QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/docs/interfaces/qdarts.capacitance_model.CapacitanceModel.html
new file mode 100644
index 0000000..14f0e5f
--- /dev/null
+++ b/QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/docs/interfaces/qdarts.capacitance_model.CapacitanceModel.html
@@ -0,0 +1,213 @@
+<!DOCTYPE html>
+
+<html lang="en" data-content_root="../">
+ <head>
+ <meta charset="utf-8" />
+ <meta name="viewport" content="width=device-width, initial-scale=1.0" /><meta name="generator" content="Docutils 0.18.1: http://docutils.sourceforge.net/" />
+
+ <title>qdarts.capacitance_model.CapacitanceModel — QDarts documentation</title>
+ <link rel="stylesheet" type="text/css" href="../_static/pygments.css?v=61cd365c" />
+ <link rel="stylesheet" type="text/css" href="../_static/alabaster.css?v=12dfc556" />
+ <script src="../_static/documentation_options.js?v=5929fcd5"></script>
+ <script src="../_static/doctools.js?v=9a2dae69"></script>
+ <script src="../_static/sphinx_highlight.js?v=dc90522c"></script>
+ <script async="async" src="https://cdn.jsdelivr.net/npm/mathjax@3/es5/tex-mml-chtml.js"></script>
+ <link rel="index" title="Index" href="../genindex.html" />
+ <link rel="search" title="Search" href="../search.html" />
+ <link rel="next" title="qdarts.simulator.CapacitiveDeviceSimulator" href="qdarts.simulator.CapacitiveDeviceSimulator.html" />
+ <link rel="prev" title="qdarts.experiment.Experiment" href="qdarts.experiment.Experiment.html" />
+
+ <link rel="stylesheet" href="../_static/custom.css" type="text/css" />
+
+
+
+
+
+ </head><body>
+
+
+ <div class="document">
+ <div class="documentwrapper">
+ <div class="bodywrapper">
+
+
+ <div class="body" role="main">
+
+ <section id="qdarts-capacitance-model-capacitancemodel">
+<h1>qdarts.capacitance_model.CapacitanceModel<a class="headerlink" href="#qdarts-capacitance-model-capacitancemodel" title="Link to this heading">¶</a></h1>
+<dl class="py class">
+<dt class="sig sig-object py" id="qdarts.capacitance_model.CapacitanceModel">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">qdarts.capacitance_model.</span></span><span class="sig-name descname"><span class="pre">CapacitanceModel</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">C_g</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">C_D</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">bounds_limits</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">bounds_normals</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">ks</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">transform_C_g</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">offset</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#qdarts.capacitance_model.CapacitanceModel" title="Link to this definition">¶</a></dt>
+<dd><p>Implementation of a slight generalization of the constant interaction model.</p>
+<p>The constant interaction model defines
+<span class="math notranslate nohighlight">\(E(v,n)=1/2 n^T C_{DD}^{-1}n - n^T C_{DD}^{-1}C_{DG}v\)</span></p>
+<p>where <span class="math notranslate nohighlight">\(C_{DD}\)</span> and <span class="math notranslate nohighlight">\(C_{DG}\)</span> are part of the maxwell capacitance matrix created by the system
+of plunger gates G and quantum dots D. Thus, <span class="math notranslate nohighlight">\(C_{DD}\)</span> are the interdot capacitances (mawell) and
+<span class="math notranslate nohighlight">\(C_{DG}\)</span> the dot to gate capacitances.</p>
+<p>This model is a generalization of the constant interaction model as it makes <span class="math notranslate nohighlight">\(C_{DD}\)</span> and <span class="math notranslate nohighlight">\(C_{DG}\)</span> a function
+of electron state n. The speed of this change from the constant interaction is governed by a parameter k for each dot. The larger
+k is, the smaller the deviation. if k=None, this is exactly the constant interaction model.</p>
+<dl class="py method">
+<dt class="sig sig-object py" id="qdarts.capacitance_model.CapacitanceModel.__init__">
+<span class="sig-name descname"><span class="pre">__init__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">C_g</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">C_D</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">bounds_limits</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">bounds_normals</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">ks</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">transform_C_g</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">offset</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#qdarts.capacitance_model.CapacitanceModel.__init__" title="Link to this definition">¶</a></dt>
+<dd><p>Initializes the model</p>
+<p>The parameters here are normal capacitances and not maxwell capacitances given in atto Farrad.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>C_g</strong> (<em>DxK np.array</em><em> of </em><em>float</em>) – Capacitances in atto Farrad between the K gates and D dots.</p></li>
+<li><p><strong>C_D</strong> (<em>DxD np.array</em><em> of </em><em>float</em>) – Capacitances in atto Farrad between the D dots. Self capacitances are possible via the diagonal matrix elements.</p></li>
+<li><p><strong>bounds_limits</strong> (<em>N np.array</em><em> of </em><em>float</em>) – right hand side of the bound inequalities. If bounds_normals is none, this is interpreted as lower bounds and thus N=num_inputs</p></li>
+<li><p><strong>bounds_normals</strong> (<em>N x num_inputs np.array</em><em> of </em><em>float</em>) – set of linear inequalities A that provide bounds for the voltage space. A valid voltage v fulfils Av+b<0, where b is
+bounds_limits. Can be none, in which case A=-Id.’</p></li>
+<li><p><strong>ks</strong> (<em>D np.array</em><em> of </em><em>float</em><em> or </em><em>None.</em>) – How quickly the capacitances change as deviation from the constant interaction model for each dot. Can be None in which this is just the constant interaction model.
+Larger integers give smaller changes. Realistic values are 3-5.</p></li>
+<li><p><strong>transform_C_g</strong> – Internal. Used to implement slicing. Should be None.</p></li>
+<li><p><strong>offset</strong> – Internal. Used to implement slicing. Should be None.</p></li>
+</ul>
+</dd>
+</dl>
+</dd></dl>
+
+<p class="rubric">Methods</p>
+<table class="autosummary longtable docutils align-default">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#qdarts.capacitance_model.CapacitanceModel.__init__" title="qdarts.capacitance_model.CapacitanceModel.__init__"><code class="xref py py-obj docutils literal notranslate"><span class="pre">__init__</span></code></a>(C_g, C_D, bounds_limits[, ...])</p></td>
+<td><p>Initializes the model</p></td>
+</tr>
+<tr class="row-even"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">compute_polytope_for_state</span></code>(state, maximum_slack)</p></td>
+<td><p>For a given state, computes P(N)</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#qdarts.capacitance_model.CapacitanceModel.compute_transition_equations" title="qdarts.capacitance_model.CapacitanceModel.compute_transition_equations"><code class="xref py py-obj docutils literal notranslate"><span class="pre">compute_transition_equations</span></code></a>(state_list, ...)</p></td>
+<td><p>For a given state n and a list of other states (n_1,...n_N), computes the set of linear equations E(v,n)-E(v,n_i).</p></td>
+</tr>
+<tr class="row-even"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">enumerate_neighbours</span></code>(state)</p></td>
+<td><p>Generates a state_list object for compute_transition_equations,</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#qdarts.capacitance_model.CapacitanceModel.slice" title="qdarts.capacitance_model.CapacitanceModel.slice"><code class="xref py py-obj docutils literal notranslate"><span class="pre">slice</span></code></a>(P, m)</p></td>
+<td><p>Restricts the model to the affine subspace v=m+Pv'</p></td>
+</tr>
+<tr class="row-even"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">verify_polytope</span></code>(polytope, maximum_slack)</p></td>
+<td><p>Verifies a polytope.</p></td>
+</tr>
+</tbody>
+</table>
+<dl class="py method">
+<dt class="sig sig-object py" id="qdarts.capacitance_model.CapacitanceModel.compute_transition_equations">
+<span class="sig-name descname"><span class="pre">compute_transition_equations</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">state_list</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">state_from</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#qdarts.capacitance_model.CapacitanceModel.compute_transition_equations" title="Link to this definition">¶</a></dt>
+<dd><p>For a given state n and a list of other states (n_1,…n_N), computes the set of
+linear equations E(v,n)-E(v,n_i). Must be implemented by derived classes.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>state</strong> (<em>K np.array</em><em> of </em><em>int</em>) – State n</p></li>
+<li><p><strong>state_list</strong> (<em>NxK np.array</em><em> of </em><em>int</em>) – list of other states (n_1,…n_N)</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><ul class="simple">
+<li><p><em>(A,b) set of linear equations represented by matrix A and offset b. The ith element computes</em></p></li>
+<li><p><em>E(v,n)-E(v,n_i) as a function of v.</em></p></li>
+</ul>
+</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="qdarts.capacitance_model.CapacitanceModel.slice">
+<span class="sig-name descname"><span class="pre">slice</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">P</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">m</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#qdarts.capacitance_model.CapacitanceModel.slice" title="Link to this definition">¶</a></dt>
+<dd><p>Restricts the model to the affine subspace v=m+Pv’</p>
+<p>Computes the slice through the device by setting v=m+Pv’, where v is the plunger gate voltages of the
+original device and v’ is the new coordinate system. Must be implemented by derived classes. Note
+that derived classes also need to apply the affine transformation to the bounds variables</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>P</strong> (<em>MxK np.array</em><em> of </em><em>floats</em>) – The linear coefficient matrix. Here M is the number of voltage elements in v in the full simulation
+and K the dimensionality of the subspace.</p></li>
+<li><p><strong>m</strong> (<em>M np.array</em><em> of </em><em>floats</em>) – offset of the affine trnsformation.</p></li>
+</ul>
+</dd>
+<dt class="field-even">Return type<span class="colon">:</span></dt>
+<dd class="field-even"><p>A model object describing the simulation on the affine subspace.</p>
+</dd>
+</dl>
+</dd></dl>
+
+</dd></dl>
+
+</section>
+
+
+ </div>
+
+ </div>
+ </div>
+ <div class="sphinxsidebar" role="navigation" aria-label="main navigation">
+ <div class="sphinxsidebarwrapper">
+<h1 class="logo"><a href="../index.html">QDarts</a></h1>
+
+
+
+
+
+
+
+
+<h3>Navigation</h3>
+<ul class="current">
+<li class="toctree-l1"><a class="reference internal" href="../api_tutorial.html">API Usage Tutorial</a></li>
+<li class="toctree-l1 current"><a class="reference internal" href="../api.html">API</a></li>
+</ul>
+
+<div class="relations">
+<h3>Related Topics</h3>
+<ul>
+ <li><a href="../index.html">Documentation overview</a><ul>
+ <li><a href="../api.html">API</a><ul>
+ <li>Previous: <a href="qdarts.experiment.Experiment.html" title="previous chapter">qdarts.experiment.Experiment</a></li>
+ <li>Next: <a href="qdarts.simulator.CapacitiveDeviceSimulator.html" title="next chapter">qdarts.simulator.CapacitiveDeviceSimulator</a></li>
+ </ul></li>
+ </ul></li>
+</ul>
+</div>
+<search id="searchbox" style="display: none" role="search">
+ <h3 id="searchlabel">Quick search</h3>
+ <div class="searchformwrapper">
+ <form class="search" action="../search.html" method="get">
+ <input type="text" name="q" aria-labelledby="searchlabel" autocomplete="off" autocorrect="off" autocapitalize="off" spellcheck="false"/>
+ <input type="submit" value="Go" />
+ </form>
+ </div>
+</search>
+<script>document.getElementById('searchbox').style.display = "block"</script>
+
+
+
+
+
+
+
+
+ </div>
+ </div>
+ <div class="clearer"></div>
+ </div>
+ <div class="footer">
+ ©2024, Oswin Krause, Jan Krzywda, Weikun Liu, Evert van Nieuwenburg.
+
+ |
+ Powered by <a href="https://www.sphinx-doc.org/">Sphinx 7.3.7</a>
+ & <a href="https://alabaster.readthedocs.io">Alabaster 0.7.16</a>
+
+ |
+ <a href="../_sources/interfaces/qdarts.capacitance_model.CapacitanceModel.rst.txt"
+ rel="nofollow">Page source</a>
+ </div>
+
+
+
+
+ </body>
+</html>
\ No newline at end of file
diff --git a/QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/docs/interfaces/qdarts.experiment.Experiment.html b/QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/docs/interfaces/qdarts.experiment.Experiment.html
new file mode 100644
index 0000000..b4e5fa2
--- /dev/null
+++ b/QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/docs/interfaces/qdarts.experiment.Experiment.html
@@ -0,0 +1,334 @@
+<!DOCTYPE html>
+
+<html lang="en" data-content_root="../">
+ <head>
+ <meta charset="utf-8" />
+ <meta name="viewport" content="width=device-width, initial-scale=1.0" /><meta name="generator" content="Docutils 0.18.1: http://docutils.sourceforge.net/" />
+
+ <title>qdarts.experiment.Experiment — QDarts documentation</title>
+ <link rel="stylesheet" type="text/css" href="../_static/pygments.css?v=61cd365c" />
+ <link rel="stylesheet" type="text/css" href="../_static/alabaster.css?v=12dfc556" />
+ <script src="../_static/documentation_options.js?v=5929fcd5"></script>
+ <script src="../_static/doctools.js?v=9a2dae69"></script>
+ <script src="../_static/sphinx_highlight.js?v=dc90522c"></script>
+ <link rel="index" title="Index" href="../genindex.html" />
+ <link rel="search" title="Search" href="../search.html" />
+ <link rel="next" title="qdarts.capacitance_model.CapacitanceModel" href="qdarts.capacitance_model.CapacitanceModel.html" />
+ <link rel="prev" title="API" href="../api.html" />
+
+ <link rel="stylesheet" href="../_static/custom.css" type="text/css" />
+
+
+
+
+
+ </head><body>
+
+
+ <div class="document">
+ <div class="documentwrapper">
+ <div class="bodywrapper">
+
+
+ <div class="body" role="main">
+
+ <section id="qdarts-experiment-experiment">
+<h1>qdarts.experiment.Experiment<a class="headerlink" href="#qdarts-experiment-experiment" title="Link to this heading">¶</a></h1>
+<dl class="py class">
+<dt class="sig sig-object py" id="qdarts.experiment.Experiment">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">qdarts.experiment.</span></span><span class="sig-name descname"><span class="pre">Experiment</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">capacitance_config</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">tunneling_config</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">sensor_config</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">print_logs</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#qdarts.experiment.Experiment" title="Link to this definition">¶</a></dt>
+<dd><p>Experiment class that helps setup the different parts of the simulator into an easy to ue interface.
+The usage of this class is best described by the tutorials in the example folder.</p>
+<dl class="py method">
+<dt class="sig sig-object py" id="qdarts.experiment.Experiment.__init__">
+<span class="sig-name descname"><span class="pre">__init__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">capacitance_config</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">tunneling_config</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">sensor_config</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">print_logs</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#qdarts.experiment.Experiment.__init__" title="Link to this definition">¶</a></dt>
+<dd><p>capacitance_config: dictionary containing the capacitance model parameters
+tunneling_config: dictionary containing the tunneling model parameters
+sensor_config: dictionary containing the sensor model parameters
+print_logs: bool, whether to print logs</p>
+</dd></dl>
+
+<p class="rubric">Methods</p>
+<table class="autosummary longtable docutils align-default">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#qdarts.experiment.Experiment.__init__" title="qdarts.experiment.Experiment.__init__"><code class="xref py py-obj docutils literal notranslate"><span class="pre">__init__</span></code></a>(capacitance_config[, ...])</p></td>
+<td><p>capacitance_config: dictionary containing the capacitance model parameters tunneling_config: dictionary containing the tunneling model parameters sensor_config: dictionary containing the sensor model parameters print_logs: bool, whether to print logs</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#qdarts.experiment.Experiment.center_transition" title="qdarts.experiment.Experiment.center_transition"><code class="xref py py-obj docutils literal notranslate"><span class="pre">center_transition</span></code></a>(simulator, target_state, ...)</p></td>
+<td><p>Function that center the CSD at a given facet (transition) of the polytope (occupation state).</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#qdarts.experiment.Experiment.deploy_capacitance_sim" title="qdarts.experiment.Experiment.deploy_capacitance_sim"><code class="xref py py-obj docutils literal notranslate"><span class="pre">deploy_capacitance_sim</span></code></a>(config)</p></td>
+<td><p>Function that deploys a capacitance simulator.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#qdarts.experiment.Experiment.deploy_sensor_model" title="qdarts.experiment.Experiment.deploy_sensor_model"><code class="xref py py-obj docutils literal notranslate"><span class="pre">deploy_sensor_model</span></code></a>(sensor_config)</p></td>
+<td><p>Function that deploys a sensor model.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#qdarts.experiment.Experiment.deploy_tunneling_sim" title="qdarts.experiment.Experiment.deploy_tunneling_sim"><code class="xref py py-obj docutils literal notranslate"><span class="pre">deploy_tunneling_sim</span></code></a>(capacitance_sim, ...)</p></td>
+<td><p>Function that deploys a tunneling simulator.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#qdarts.experiment.Experiment.generate_CSD" title="qdarts.experiment.Experiment.generate_CSD"><code class="xref py py-obj docutils literal notranslate"><span class="pre">generate_CSD</span></code></a>(x_voltages, y_voltages, plane_axes)</p></td>
+<td><p>Function that renders the capacitance CSD for a given set of voltages and axes.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#qdarts.experiment.Experiment.get_compensated_sim" title="qdarts.experiment.Experiment.get_compensated_sim"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_compensated_sim</span></code></a>(simulator, target_state)</p></td>
+<td><p>Function that takes a capacitance simulator and compensates the sensors.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#qdarts.experiment.Experiment.get_plot_args" title="qdarts.experiment.Experiment.get_plot_args"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_plot_args</span></code></a>(x_voltages, y_voltages, plane_axes)</p></td>
+<td><p>Function that returns the arguments for plotting the CSD.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#qdarts.experiment.Experiment.get_virtualised_sim" title="qdarts.experiment.Experiment.get_virtualised_sim"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_virtualised_sim</span></code></a>(simulator, target_state)</p></td>
+<td><p>Function that takes a simulator and virtualises the gates specified by inner_dots.</p></td>
+</tr>
+</tbody>
+</table>
+<dl class="py method">
+<dt class="sig sig-object py" id="qdarts.experiment.Experiment.center_transition">
+<span class="sig-name descname"><span class="pre">center_transition</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">simulator</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">target_state</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">target_transition</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">plane_axes</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">use_virtual_gates</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">compensate_sensors</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#qdarts.experiment.Experiment.center_transition" title="Link to this definition">¶</a></dt>
+<dd><p>Function that center the CSD at a given facet (transition) of the polytope (occupation state).</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>simulator</strong> (<em>any simulator object</em>)</p></li>
+<li><p><strong>target_state</strong> (<em>int</em><em>, </em><em>the state at which the transition happens</em><em>, </em><em>e.g.</em><em> [</em><em>2</em><em>,</em><em>2</em><em>]</em>)</p></li>
+<li><p><strong>target_transition</strong> (<em>list</em><em> of </em><em>integers</em><em>, </em><em>the transition point e.g.</em><em> [</em><em>1</em><em>,</em><em>-1</em><em>] </em><em>would be the transition from</em><em> [</em><em>2</em><em>,</em><em>2</em><em>] </em><em>to</em><em> [</em><em>1</em><em>,</em><em>1</em><em>]</em>)</p></li>
+<li><p><strong>plane_axes</strong> (<em>2xN array</em><em>, </em><em>the axes</em><em> of </em><em>the transition which span the plane</em>)</p></li>
+<li><p><strong>use_virtual_gates</strong> (<em>bool</em><em>, </em><em>whether to use virtual gates</em>)</p></li>
+<li><p><strong>compensate_sensors</strong> (<em>bool</em><em>, </em><em>whether to compensate the sensors</em>)</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><ul class="simple">
+<li><p><strong>plane_axes</strong> (<em>2xN array, the axes spanning the cut through volage plane</em>)</p></li>
+<li><p><strong>transition_sim</strong> (<em>CapacitanceSimulator object, the transition simulator</em>)</p></li>
+</ul>
+</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="qdarts.experiment.Experiment.deploy_capacitance_sim">
+<span class="sig-name descname"><span class="pre">deploy_capacitance_sim</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">config</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#qdarts.experiment.Experiment.deploy_capacitance_sim" title="Link to this definition">¶</a></dt>
+<dd><p>Function that deploys a capacitance simulator.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>config</strong> (<em>dictionary containing the capacitance model parameters</em>)</p>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><strong>sim</strong></p>
+</dd>
+<dt class="field-odd">Return type<span class="colon">:</span></dt>
+<dd class="field-odd"><p>CapacitiveDeviceSimulator object</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="qdarts.experiment.Experiment.deploy_sensor_model">
+<span class="sig-name descname"><span class="pre">deploy_sensor_model</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">sensor_config</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#qdarts.experiment.Experiment.deploy_sensor_model" title="Link to this definition">¶</a></dt>
+<dd><p>Function that deploys a sensor model.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>config</strong> (<em>dictionary containing the sensor model parameters</em>)</p>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><strong>sensor_sim</strong></p>
+</dd>
+<dt class="field-odd">Return type<span class="colon">:</span></dt>
+<dd class="field-odd"><p>NoisySensorDot object</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="qdarts.experiment.Experiment.deploy_tunneling_sim">
+<span class="sig-name descname"><span class="pre">deploy_tunneling_sim</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">capacitance_sim</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">tunneling_config</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#qdarts.experiment.Experiment.deploy_tunneling_sim" title="Link to this definition">¶</a></dt>
+<dd><p>Function that deploys a tunneling simulator.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>capacitance_sim</strong> (<em>CapacitiveDeviceSimulator object</em>)</p></li>
+<li><p><strong>tunneling_config</strong> (<em>dictionary containing the tunneling model parameters</em>)</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><strong>tunneling_sim</strong></p>
+</dd>
+<dt class="field-odd">Return type<span class="colon">:</span></dt>
+<dd class="field-odd"><p>ApproximateTunnelingSimulator object</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="qdarts.experiment.Experiment.generate_CSD">
+<span class="sig-name descname"><span class="pre">generate_CSD</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">x_voltages</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">y_voltages</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">plane_axes</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">target_state</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">target_transition</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">use_virtual_gates</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">compensate_sensors</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">compute_polytopes</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">use_sensor_signal</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">v_offset</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#qdarts.experiment.Experiment.generate_CSD" title="Link to this definition">¶</a></dt>
+<dd><p>Function that renders the capacitance CSD for a given set of voltages and axes.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>x_voltages</strong> (<em>list</em><em> of </em><em>floats</em><em>, </em><em>the x-axis voltages</em>)</p></li>
+<li><p><strong>y_voltages</strong> (<em>list</em><em> of </em><em>floats</em><em>, </em><em>the y-axis voltages</em>)</p></li>
+<li><p><strong>plane_axes</strong> (<em>2xN array</em><em>, </em><em>the axes</em><em> of </em><em>the plane in which the CSD is to be rendered</em>)</p></li>
+<li><p><strong>target_state</strong> (<em>int</em><em>, </em><em>the guess state</em><em> or </em><em>the state at which the transition happens</em>)</p></li>
+<li><p><strong>target_transition</strong> (<em>list</em><em> of </em><em>integers</em><em>, </em><em>the transition point e.g.</em><em> [</em><em>1</em><em>,</em><em>-1</em><em>] </em><em>would be the transition from</em><em> [</em><em>2</em><em>,</em><em>2</em><em>] </em><em>to</em><em> [</em><em>1</em><em>,</em><em>1</em><em>]</em>)</p></li>
+<li><p><strong>use_virtual_gates</strong> (<em>bool</em><em>, </em><em>whether to use virtual gates</em>)</p></li>
+<li><p><strong>compensate_sensors</strong> (<em>bool</em><em>, </em><em>whether to compensate the sensors</em>)</p></li>
+<li><p><strong>compute_polytopes</strong> (<em>bool</em><em>, </em><em>whether to compute the polytopes</em>)</p></li>
+<li><p><strong>use_sensor_signal</strong> (<em>bool</em><em>, </em><em>whether to use the sensor signal</em>)</p></li>
+<li><p><strong>v_offset</strong> (<em>Nx1 array</em><em>, </em><em>the offset voltage</em><em> of </em><em>all</em><em> of </em><em>the gates</em><em>, </em><em>which defines the origin</em><em> of </em><em>the plot</em>)</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><ul class="simple">
+<li><p><strong>xout, yout</strong> (<em>list of floats, the x and y voltages</em>)</p></li>
+<li><p><strong>CSD_data</strong> (<em>2D array, the CSD data</em>)</p></li>
+<li><p><strong>polytopes</strong> (<em>dictionary, the polytopes of the CSD. None if compute_polytopes is False</em>)</p></li>
+<li><p><strong>sensor_values</strong> (<em>3D array, the sensor signal [size(xout),size(yout),num_sensors]. None if use_sensor_signal is False</em>)</p></li>
+<li><p><strong>v_offset</strong> (<em>Nx1 array, the offset voltage of all of the gates</em>)</p></li>
+</ul>
+</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="qdarts.experiment.Experiment.get_compensated_sim">
+<span class="sig-name descname"><span class="pre">get_compensated_sim</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">simulator</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">target_state</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#qdarts.experiment.Experiment.get_compensated_sim" title="Link to this definition">¶</a></dt>
+<dd><p>Function that takes a capacitance simulator and compensates the sensors.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>simulator</strong> (<em>AbstractPolytopeSimulator object</em>)</p></li>
+<li><p><strong>target_stater</strong> (<em>int</em><em>, </em><em>the state at which sensor compensation happens</em>)</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><strong>simulator</strong></p>
+</dd>
+<dt class="field-odd">Return type<span class="colon">:</span></dt>
+<dd class="field-odd"><p>AbstractPolytopeSimulator object, the compensated simulator</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="qdarts.experiment.Experiment.get_plot_args">
+<span class="sig-name descname"><span class="pre">get_plot_args</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">x_voltages</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">y_voltages</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">plane_axes</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">v_offset</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#qdarts.experiment.Experiment.get_plot_args" title="Link to this definition">¶</a></dt>
+<dd><p>Function that returns the arguments for plotting the CSD.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>x_voltages</strong> (<em>list</em><em> of </em><em>floats</em><em>, </em><em>the x-axis voltages</em>)</p></li>
+<li><p><strong>y_voltages</strong> (<em>list</em><em> of </em><em>floats</em><em>, </em><em>the y-axis voltages</em>)</p></li>
+<li><p><strong>plane_axes</strong> (<em>2xN array</em><em>, </em><em>the axes</em><em> of </em><em>the plane in which the CSD is to be rendered</em>)</p></li>
+<li><p><strong>v_offset</strong> (<em>Nx1 array</em><em>, </em><em>the offset voltage</em><em> of </em><em>all</em><em> of </em><em>the gates</em><em>, </em><em>which defines the origin</em><em> of </em><em>the plot</em>)</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><ul class="simple">
+<li><p><strong>v_offset</strong> (<em>Nx1 array, the offset voltage of all of the gates</em>)</p></li>
+<li><p><strong>minV</strong> (<em>2x1 array, the minimum voltage of selected axes</em>)</p></li>
+<li><p><strong>maxV</strong> (<em>2x1 array, the maximum voltage of selected axes</em>)</p></li>
+<li><p><strong>resolution</strong> (<em>list of integers, the resolution of the plot</em>)</p></li>
+</ul>
+</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="qdarts.experiment.Experiment.get_virtualised_sim">
+<span class="sig-name descname"><span class="pre">get_virtualised_sim</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">simulator</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">target_state</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#qdarts.experiment.Experiment.get_virtualised_sim" title="Link to this definition">¶</a></dt>
+<dd><p>Function that takes a simulator and virtualises the gates specified by inner_dots.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>simulator</strong> (<em>AbstractPolytopeSimulator object</em>)</p></li>
+<li><p><strong>target_state</strong> (<em>int</em><em>, </em><em>the initial corner state guess</em>)</p></li>
+</ul>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><strong>simulator</strong></p>
+</dd>
+<dt class="field-odd">Return type<span class="colon">:</span></dt>
+<dd class="field-odd"><p>AbstractPolytopeSimulator object, the virtualised simulator</p>
+</dd>
+</dl>
+</dd></dl>
+
+</dd></dl>
+
+</section>
+
+
+ </div>
+
+ </div>
+ </div>
+ <div class="sphinxsidebar" role="navigation" aria-label="main navigation">
+ <div class="sphinxsidebarwrapper">
+<h1 class="logo"><a href="../index.html">QDarts</a></h1>
+
+
+
+
+
+
+
+
+<h3>Navigation</h3>
+<ul class="current">
+<li class="toctree-l1"><a class="reference internal" href="../api_tutorial.html">API Usage Tutorial</a></li>
+<li class="toctree-l1 current"><a class="reference internal" href="../api.html">API</a></li>
+</ul>
+
+<div class="relations">
+<h3>Related Topics</h3>
+<ul>
+ <li><a href="../index.html">Documentation overview</a><ul>
+ <li><a href="../api.html">API</a><ul>
+ <li>Previous: <a href="../api.html" title="previous chapter">API</a></li>
+ <li>Next: <a href="qdarts.capacitance_model.CapacitanceModel.html" title="next chapter">qdarts.capacitance_model.CapacitanceModel</a></li>
+ </ul></li>
+ </ul></li>
+</ul>
+</div>
+<search id="searchbox" style="display: none" role="search">
+ <h3 id="searchlabel">Quick search</h3>
+ <div class="searchformwrapper">
+ <form class="search" action="../search.html" method="get">
+ <input type="text" name="q" aria-labelledby="searchlabel" autocomplete="off" autocorrect="off" autocapitalize="off" spellcheck="false"/>
+ <input type="submit" value="Go" />
+ </form>
+ </div>
+</search>
+<script>document.getElementById('searchbox').style.display = "block"</script>
+
+
+
+
+
+
+
+
+ </div>
+ </div>
+ <div class="clearer"></div>
+ </div>
+ <div class="footer">
+ ©2024, Oswin Krause, Jan Krzywda, Weikun Liu, Evert van Nieuwenburg.
+
+ |
+ Powered by <a href="https://www.sphinx-doc.org/">Sphinx 7.3.7</a>
+ & <a href="https://alabaster.readthedocs.io">Alabaster 0.7.16</a>
+
+ |
+ <a href="../_sources/interfaces/qdarts.experiment.Experiment.rst.txt"
+ rel="nofollow">Page source</a>
+ </div>
+
+
+
+
+ </body>
+</html>
\ No newline at end of file
diff --git a/QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/docs/interfaces/qdarts.noise_processes.AbstractNoiseProcess.html b/QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/docs/interfaces/qdarts.noise_processes.AbstractNoiseProcess.html
new file mode 100644
index 0000000..270987d
--- /dev/null
+++ b/QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/docs/interfaces/qdarts.noise_processes.AbstractNoiseProcess.html
@@ -0,0 +1,175 @@
+<!DOCTYPE html>
+
+<html lang="en" data-content_root="../">
+ <head>
+ <meta charset="utf-8" />
+ <meta name="viewport" content="width=device-width, initial-scale=1.0" /><meta name="generator" content="Docutils 0.18.1: http://docutils.sourceforge.net/" />
+
+ <title>qdarts.noise_processes.AbstractNoiseProcess — QDarts documentation</title>
+ <link rel="stylesheet" type="text/css" href="../_static/pygments.css?v=61cd365c" />
+ <link rel="stylesheet" type="text/css" href="../_static/alabaster.css?v=12dfc556" />
+ <script src="../_static/documentation_options.js?v=5929fcd5"></script>
+ <script src="../_static/doctools.js?v=9a2dae69"></script>
+ <script src="../_static/sphinx_highlight.js?v=dc90522c"></script>
+ <script async="async" src="https://cdn.jsdelivr.net/npm/mathjax@3/es5/tex-mml-chtml.js"></script>
+ <link rel="index" title="Index" href="../genindex.html" />
+ <link rel="search" title="Search" href="../search.html" />
+ <link rel="next" title="qdarts.tunneling_simulator.AbstractSensorSim" href="qdarts.tunneling_simulator.AbstractSensorSim.html" />
+ <link rel="prev" title="qdarts.simulator.AbstractCapacitiveDeviceSimulator" href="qdarts.simulator.AbstractCapacitiveDeviceSimulator.html" />
+
+ <link rel="stylesheet" href="../_static/custom.css" type="text/css" />
+
+
+
+
+
+ </head><body>
+
+
+ <div class="document">
+ <div class="documentwrapper">
+ <div class="bodywrapper">
+
+
+ <div class="body" role="main">
+
+ <section id="qdarts-noise-processes-abstractnoiseprocess">
+<h1>qdarts.noise_processes.AbstractNoiseProcess<a class="headerlink" href="#qdarts-noise-processes-abstractnoiseprocess" title="Link to this heading">¶</a></h1>
+<dl class="py class">
+<dt class="sig sig-object py" id="qdarts.noise_processes.AbstractNoiseProcess">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">qdarts.noise_processes.</span></span><span class="sig-name descname"><span class="pre">AbstractNoiseProcess</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">num_elements</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#qdarts.noise_processes.AbstractNoiseProcess" title="Link to this definition">¶</a></dt>
+<dd><p>Models a noise process that produces possibly dependent samples <span class="math notranslate nohighlight">\(\epsilon(v)_t\)</span>. The noise process
+can depend on the device voltages v and the noise can depend on all previous samples in the sequence. We assume
+that <span class="math notranslate nohighlight">\(\epsilon(v)_t\)</span> is vector valued and the number of elements is stored in the <code class="docutils literal notranslate"><span class="pre">num_elements</span></code> attribute</p>
+<p>A sequence is started by calling <code class="docutils literal notranslate"><span class="pre">start_sequence</span></code>, at which point the newly sampled points are independent from
+all previous samples.</p>
+<p>Note that currently, the elements in the noise process are assumed to be drawn with equal time difference between samples.</p>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="qdarts.noise_processes.AbstractNoiseProcess.num_elements">
+<span class="sig-name descname"><span class="pre">num_elements</span></span><a class="headerlink" href="#qdarts.noise_processes.AbstractNoiseProcess.num_elements" title="Link to this definition">¶</a></dt>
+<dd><p>the dimensionality of the noise variable</p>
+<dl class="field-list simple">
+<dt class="field-odd">Type<span class="colon">:</span></dt>
+<dd class="field-odd"><p>int</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="qdarts.noise_processes.AbstractNoiseProcess.__init__">
+<span class="sig-name descname"><span class="pre">__init__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">num_elements</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#qdarts.noise_processes.AbstractNoiseProcess.__init__" title="Link to this definition">¶</a></dt>
+<dd></dd></dl>
+
+<p class="rubric">Methods</p>
+<table class="autosummary longtable docutils align-default">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#qdarts.noise_processes.AbstractNoiseProcess.__init__" title="qdarts.noise_processes.AbstractNoiseProcess.__init__"><code class="xref py py-obj docutils literal notranslate"><span class="pre">__init__</span></code></a>(num_elements)</p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#qdarts.noise_processes.AbstractNoiseProcess.slice" title="qdarts.noise_processes.AbstractNoiseProcess.slice"><code class="xref py py-obj docutils literal notranslate"><span class="pre">slice</span></code></a>(P, m)</p></td>
+<td><p>Restricts the noise to the affine subspace <span class="math notranslate nohighlight">\(v=m+Pv\)</span>.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#qdarts.noise_processes.AbstractNoiseProcess.start_sequence" title="qdarts.noise_processes.AbstractNoiseProcess.start_sequence"><code class="xref py py-obj docutils literal notranslate"><span class="pre">start_sequence</span></code></a>()</p></td>
+<td><p>Restart the sequence so that the next sample drawn is independent from all previous samples.</p></td>
+</tr>
+</tbody>
+</table>
+<dl class="py method">
+<dt class="sig sig-object py" id="qdarts.noise_processes.AbstractNoiseProcess.slice">
+<em class="property"><span class="pre">abstract</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">slice</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">P</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">m</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#qdarts.noise_processes.AbstractNoiseProcess.slice" title="Link to this definition">¶</a></dt>
+<dd><p>Restricts the noise to the affine subspace <span class="math notranslate nohighlight">\(v=m+Pv\)</span>.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>P</strong> (<em>MxK np.array</em><em> of </em><em>floats</em>) – The linear coefficient matrix.</p></li>
+<li><p><strong>m</strong> (<em>M np.array</em><em> of </em><em>floats</em>) – offset of the affine transformation.</p></li>
+</ul>
+</dd>
+<dt class="field-even">Return type<span class="colon">:</span></dt>
+<dd class="field-even"><p>A noise process object describing the noise on the affine subspace. The current noise object remains unchanged.</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="qdarts.noise_processes.AbstractNoiseProcess.start_sequence">
+<em class="property"><span class="pre">abstract</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">start_sequence</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#qdarts.noise_processes.AbstractNoiseProcess.start_sequence" title="Link to this definition">¶</a></dt>
+<dd><p>Restart the sequence so that the next sample drawn is independent from all previous samples.</p>
+</dd></dl>
+
+</dd></dl>
+
+</section>
+
+
+ </div>
+
+ </div>
+ </div>
+ <div class="sphinxsidebar" role="navigation" aria-label="main navigation">
+ <div class="sphinxsidebarwrapper">
+<h1 class="logo"><a href="../index.html">QDarts</a></h1>
+
+
+
+
+
+
+
+
+<h3>Navigation</h3>
+<ul class="current">
+<li class="toctree-l1"><a class="reference internal" href="../api_tutorial.html">API Usage Tutorial</a></li>
+<li class="toctree-l1 current"><a class="reference internal" href="../api.html">API</a></li>
+</ul>
+
+<div class="relations">
+<h3>Related Topics</h3>
+<ul>
+ <li><a href="../index.html">Documentation overview</a><ul>
+ <li><a href="../api.html">API</a><ul>
+ <li>Previous: <a href="qdarts.simulator.AbstractCapacitiveDeviceSimulator.html" title="previous chapter">qdarts.simulator.AbstractCapacitiveDeviceSimulator</a></li>
+ <li>Next: <a href="qdarts.tunneling_simulator.AbstractSensorSim.html" title="next chapter">qdarts.tunneling_simulator.AbstractSensorSim</a></li>
+ </ul></li>
+ </ul></li>
+</ul>
+</div>
+<search id="searchbox" style="display: none" role="search">
+ <h3 id="searchlabel">Quick search</h3>
+ <div class="searchformwrapper">
+ <form class="search" action="../search.html" method="get">
+ <input type="text" name="q" aria-labelledby="searchlabel" autocomplete="off" autocorrect="off" autocapitalize="off" spellcheck="false"/>
+ <input type="submit" value="Go" />
+ </form>
+ </div>
+</search>
+<script>document.getElementById('searchbox').style.display = "block"</script>
+
+
+
+
+
+
+
+
+ </div>
+ </div>
+ <div class="clearer"></div>
+ </div>
+ <div class="footer">
+ ©2024, Oswin Krause, Jan Krzywda, Weikun Liu, Evert van Nieuwenburg.
+
+ |
+ Powered by <a href="https://www.sphinx-doc.org/">Sphinx 7.3.7</a>
+ & <a href="https://alabaster.readthedocs.io">Alabaster 0.7.16</a>
+
+ |
+ <a href="../_sources/interfaces/qdarts.noise_processes.AbstractNoiseProcess.rst.txt"
+ rel="nofollow">Page source</a>
+ </div>
+
+
+
+
+ </body>
+</html>
\ No newline at end of file
diff --git a/QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/docs/interfaces/qdarts.noise_processes.Cosine_Mean_Function.html b/QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/docs/interfaces/qdarts.noise_processes.Cosine_Mean_Function.html
new file mode 100644
index 0000000..74a2078
--- /dev/null
+++ b/QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/docs/interfaces/qdarts.noise_processes.Cosine_Mean_Function.html
@@ -0,0 +1,179 @@
+<!DOCTYPE html>
+
+<html lang="en" data-content_root="../">
+ <head>
+ <meta charset="utf-8" />
+ <meta name="viewport" content="width=device-width, initial-scale=1.0" /><meta name="generator" content="Docutils 0.18.1: http://docutils.sourceforge.net/" />
+
+ <title>qdarts.noise_processes.Cosine_Mean_Function — QDarts documentation</title>
+ <link rel="stylesheet" type="text/css" href="../_static/pygments.css?v=61cd365c" />
+ <link rel="stylesheet" type="text/css" href="../_static/alabaster.css?v=12dfc556" />
+ <script src="../_static/documentation_options.js?v=5929fcd5"></script>
+ <script src="../_static/doctools.js?v=9a2dae69"></script>
+ <script src="../_static/sphinx_highlight.js?v=dc90522c"></script>
+ <script async="async" src="https://cdn.jsdelivr.net/npm/mathjax@3/es5/tex-mml-chtml.js"></script>
+ <link rel="index" title="Index" href="../genindex.html" />
+ <link rel="search" title="Search" href="../search.html" />
+ <link rel="next" title="qdarts.tunneling_simulator.LocalSystem" href="qdarts.tunneling_simulator.LocalSystem.html" />
+ <link rel="prev" title="qdarts.noise_processes.OU_process" href="qdarts.noise_processes.OU_process.html" />
+
+ <link rel="stylesheet" href="../_static/custom.css" type="text/css" />
+
+
+
+
+
+ </head><body>
+
+
+ <div class="document">
+ <div class="documentwrapper">
+ <div class="bodywrapper">
+
+
+ <div class="body" role="main">
+
+ <section id="qdarts-noise-processes-cosine-mean-function">
+<h1>qdarts.noise_processes.Cosine_Mean_Function<a class="headerlink" href="#qdarts-noise-processes-cosine-mean-function" title="Link to this heading">¶</a></h1>
+<dl class="py class">
+<dt class="sig sig-object py" id="qdarts.noise_processes.Cosine_Mean_Function">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">qdarts.noise_processes.</span></span><span class="sig-name descname"><span class="pre">Cosine_Mean_Function</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">noise_model</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">a</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">W</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">b</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#qdarts.noise_processes.Cosine_Mean_Function" title="Link to this definition">¶</a></dt>
+<dd><p>Decorator of an random process that models an additive mean term that depends on the gate voltages.
+This term is added to noise values sampled from the decorated noise model</p>
+<p>The mean term of the ith noise element is given as a set of cosine functions:</p>
+<p><span class="math notranslate nohighlight">\(\mu_i(v)= \sum_j a_{ij} \cos(2\pi (w_{ij}^T v+b_{ij}))\)</span></p>
+<p>and the resulting noise is</p>
+<p><span class="math notranslate nohighlight">\(\epsilon(v)_{t}=\mu(v) + \epsilon(v)^D_{t}\)</span></p>
+<p>where <span class="math notranslate nohighlight">\(\epsilon(v)^D_{t}\)</span> is the decorated noise process.</p>
+<p>The user supplies the weight tensor W with elements <span class="math notranslate nohighlight">\(W_{ijk}\)</span> so that W[i,j] is the vector <span class="math notranslate nohighlight">\(w_{ij}\)</span>
+and a matrix a with the amplitude values <span class="math notranslate nohighlight">\(a_{ij}\)</span>. Finally, b is the matrix of offsets <span class="math notranslate nohighlight">\(b_{ij}\)</span>, which can be left as None,
+in which case it is sampled uniformly between 0 and 1.</p>
+<dl class="py method">
+<dt class="sig sig-object py" id="qdarts.noise_processes.Cosine_Mean_Function.__init__">
+<span class="sig-name descname"><span class="pre">__init__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">noise_model</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">a</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">W</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">b</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#qdarts.noise_processes.Cosine_Mean_Function.__init__" title="Link to this definition">¶</a></dt>
+<dd><p>Initialized the cosine mean function.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>noise_model</strong> (<a class="reference internal" href="qdarts.noise_processes.AbstractNoiseProcess.html#qdarts.noise_processes.AbstractNoiseProcess" title="qdarts.noise_processes.AbstractNoiseProcess"><em>AbstractNoiseProcess</em></a>) – The noise process with N dimensions to decorrate.</p></li>
+<li><p><strong>a</strong> (<em>NxM np.array</em><em> of </em><em>float</em>) – Amplitudes of the M overlapping cosine functions</p></li>
+<li><p><strong>W</strong> (<em>NxMxK np.array</em><em> of </em><em>float</em>) – K dimensional weights of the M consine functions for the N outputs.</p></li>
+<li><p><strong>b</strong> (<em>NxM np.array</em><em> of </em><em>float</em><em> or </em><em>None</em>) – Phases of the M overlapping cosine functions. If none, it is drawn uniformly between 0 and 1.</p></li>
+</ul>
+</dd>
+</dl>
+</dd></dl>
+
+<p class="rubric">Methods</p>
+<table class="autosummary longtable docutils align-default">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#qdarts.noise_processes.Cosine_Mean_Function.__init__" title="qdarts.noise_processes.Cosine_Mean_Function.__init__"><code class="xref py py-obj docutils literal notranslate"><span class="pre">__init__</span></code></a>(noise_model, a, W[, b])</p></td>
+<td><p>Initialized the cosine mean function.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#qdarts.noise_processes.Cosine_Mean_Function.slice" title="qdarts.noise_processes.Cosine_Mean_Function.slice"><code class="xref py py-obj docutils literal notranslate"><span class="pre">slice</span></code></a>(P, m)</p></td>
+<td><p>Restricts the noise to the affine subspace <span class="math notranslate nohighlight">\(v=m+Pv\)</span>.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#qdarts.noise_processes.Cosine_Mean_Function.start_sequence" title="qdarts.noise_processes.Cosine_Mean_Function.start_sequence"><code class="xref py py-obj docutils literal notranslate"><span class="pre">start_sequence</span></code></a>()</p></td>
+<td><p>Restart the sequence so that the next sample drawn is independent from all previous samples.</p></td>
+</tr>
+</tbody>
+</table>
+<dl class="py method">
+<dt class="sig sig-object py" id="qdarts.noise_processes.Cosine_Mean_Function.slice">
+<span class="sig-name descname"><span class="pre">slice</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">P</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">m</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#qdarts.noise_processes.Cosine_Mean_Function.slice" title="Link to this definition">¶</a></dt>
+<dd><p>Restricts the noise to the affine subspace <span class="math notranslate nohighlight">\(v=m+Pv\)</span>.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>P</strong> (<em>MxK np.array</em><em> of </em><em>floats</em>) – The linear coefficient matrix.</p></li>
+<li><p><strong>m</strong> (<em>M np.array</em><em> of </em><em>floats</em>) – offset of the affine transformation.</p></li>
+</ul>
+</dd>
+<dt class="field-even">Return type<span class="colon">:</span></dt>
+<dd class="field-even"><p>A noise process object describing the noise on the affine subspace. The current noise object remains unchanged.</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="qdarts.noise_processes.Cosine_Mean_Function.start_sequence">
+<span class="sig-name descname"><span class="pre">start_sequence</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#qdarts.noise_processes.Cosine_Mean_Function.start_sequence" title="Link to this definition">¶</a></dt>
+<dd><p>Restart the sequence so that the next sample drawn is independent from all previous samples.</p>
+</dd></dl>
+
+</dd></dl>
+
+</section>
+
+
+ </div>
+
+ </div>
+ </div>
+ <div class="sphinxsidebar" role="navigation" aria-label="main navigation">
+ <div class="sphinxsidebarwrapper">
+<h1 class="logo"><a href="../index.html">QDarts</a></h1>
+
+
+
+
+
+
+
+
+<h3>Navigation</h3>
+<ul class="current">
+<li class="toctree-l1"><a class="reference internal" href="../api_tutorial.html">API Usage Tutorial</a></li>
+<li class="toctree-l1 current"><a class="reference internal" href="../api.html">API</a></li>
+</ul>
+
+<div class="relations">
+<h3>Related Topics</h3>
+<ul>
+ <li><a href="../index.html">Documentation overview</a><ul>
+ <li><a href="../api.html">API</a><ul>
+ <li>Previous: <a href="qdarts.noise_processes.OU_process.html" title="previous chapter">qdarts.noise_processes.OU_process</a></li>
+ <li>Next: <a href="qdarts.tunneling_simulator.LocalSystem.html" title="next chapter">qdarts.tunneling_simulator.LocalSystem</a></li>
+ </ul></li>
+ </ul></li>
+</ul>
+</div>
+<search id="searchbox" style="display: none" role="search">
+ <h3 id="searchlabel">Quick search</h3>
+ <div class="searchformwrapper">
+ <form class="search" action="../search.html" method="get">
+ <input type="text" name="q" aria-labelledby="searchlabel" autocomplete="off" autocorrect="off" autocapitalize="off" spellcheck="false"/>
+ <input type="submit" value="Go" />
+ </form>
+ </div>
+</search>
+<script>document.getElementById('searchbox').style.display = "block"</script>
+
+
+
+
+
+
+
+
+ </div>
+ </div>
+ <div class="clearer"></div>
+ </div>
+ <div class="footer">
+ ©2024, Oswin Krause, Jan Krzywda, Weikun Liu, Evert van Nieuwenburg.
+
+ |
+ Powered by <a href="https://www.sphinx-doc.org/">Sphinx 7.3.7</a>
+ & <a href="https://alabaster.readthedocs.io">Alabaster 0.7.16</a>
+
+ |
+ <a href="../_sources/interfaces/qdarts.noise_processes.Cosine_Mean_Function.rst.txt"
+ rel="nofollow">Page source</a>
+ </div>
+
+
+
+
+ </body>
+</html>
\ No newline at end of file
diff --git a/QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/docs/interfaces/qdarts.noise_processes.OU_process.html b/QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/docs/interfaces/qdarts.noise_processes.OU_process.html
new file mode 100644
index 0000000..0f228b7
--- /dev/null
+++ b/QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/docs/interfaces/qdarts.noise_processes.OU_process.html
@@ -0,0 +1,185 @@
+<!DOCTYPE html>
+
+<html lang="en" data-content_root="../">
+ <head>
+ <meta charset="utf-8" />
+ <meta name="viewport" content="width=device-width, initial-scale=1.0" /><meta name="generator" content="Docutils 0.18.1: http://docutils.sourceforge.net/" />
+
+ <title>qdarts.noise_processes.OU_process — QDarts documentation</title>
+ <link rel="stylesheet" type="text/css" href="../_static/pygments.css?v=61cd365c" />
+ <link rel="stylesheet" type="text/css" href="../_static/alabaster.css?v=12dfc556" />
+ <script src="../_static/documentation_options.js?v=5929fcd5"></script>
+ <script src="../_static/doctools.js?v=9a2dae69"></script>
+ <script src="../_static/sphinx_highlight.js?v=dc90522c"></script>
+ <script async="async" src="https://cdn.jsdelivr.net/npm/mathjax@3/es5/tex-mml-chtml.js"></script>
+ <link rel="index" title="Index" href="../genindex.html" />
+ <link rel="search" title="Search" href="../search.html" />
+ <link rel="next" title="qdarts.noise_processes.Cosine_Mean_Function" href="qdarts.noise_processes.Cosine_Mean_Function.html" />
+ <link rel="prev" title="qdarts.tunneling_simulator.NoisySensorDot" href="qdarts.tunneling_simulator.NoisySensorDot.html" />
+
+ <link rel="stylesheet" href="../_static/custom.css" type="text/css" />
+
+
+
+
+
+ </head><body>
+
+
+ <div class="document">
+ <div class="documentwrapper">
+ <div class="bodywrapper">
+
+
+ <div class="body" role="main">
+
+ <section id="qdarts-noise-processes-ou-process">
+<h1>qdarts.noise_processes.OU_process<a class="headerlink" href="#qdarts-noise-processes-ou-process" title="Link to this heading">¶</a></h1>
+<dl class="py class">
+<dt class="sig sig-object py" id="qdarts.noise_processes.OU_process">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">qdarts.noise_processes.</span></span><span class="sig-name descname"><span class="pre">OU_process</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">sigma</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">tc</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">dt</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">num_elements</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#qdarts.noise_processes.OU_process" title="Link to this definition">¶</a></dt>
+<dd><p>Implements the Ornstein-Uhlenbeck noise process</p>
+<p>This noise is independent of v. We have that</p>
+<div class="math notranslate nohighlight">
+\[\epsilon(v)_{t+1}=a \epsilon(v)_t + \sqrt{1-a^2} \sigma \epsilon_t\]</div>
+<p>Where <span class="math notranslate nohighlight">\(\epsilon_t\)</span> is independent gaussian noise and</p>
+<div class="math notranslate nohighlight">
+\[a=e^{-\frac{\Delta t}{t_c}}\]</div>
+<p>It is possible to generate multiple independent samples of the same process simultaneously.</p>
+<dl class="py method">
+<dt class="sig sig-object py" id="qdarts.noise_processes.OU_process.__init__">
+<span class="sig-name descname"><span class="pre">__init__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">sigma</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">tc</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">dt</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">num_elements</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#qdarts.noise_processes.OU_process.__init__" title="Link to this definition">¶</a></dt>
+<dd><p>Instantiates the OU process with its process parameters.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>sigma</strong> (<em>float</em>) – Standard deviation of the OU process</p></li>
+<li><p><strong>tc</strong> (<em>float</em>) – time correlation parameters, the higher the more samples are correlated</p></li>
+<li><p><strong>dt</strong> (<em>float</em>) – time step between samples. The higher, the less samples are correlated</p></li>
+<li><p><strong>num_elements</strong> (<em>int</em>) – How many independnet samples are computed simultaneously</p></li>
+</ul>
+</dd>
+</dl>
+</dd></dl>
+
+<p class="rubric">Methods</p>
+<table class="autosummary longtable docutils align-default">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#qdarts.noise_processes.OU_process.__init__" title="qdarts.noise_processes.OU_process.__init__"><code class="xref py py-obj docutils literal notranslate"><span class="pre">__init__</span></code></a>(sigma, tc, dt, num_elements)</p></td>
+<td><p>Instantiates the OU process with its process parameters.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#qdarts.noise_processes.OU_process.next_val" title="qdarts.noise_processes.OU_process.next_val"><code class="xref py py-obj docutils literal notranslate"><span class="pre">next_val</span></code></a>()</p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#qdarts.noise_processes.OU_process.slice" title="qdarts.noise_processes.OU_process.slice"><code class="xref py py-obj docutils literal notranslate"><span class="pre">slice</span></code></a>(P, m)</p></td>
+<td><p>Restricts the noise to the affine subspace <span class="math notranslate nohighlight">\(v=m+Pv\)</span>.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#qdarts.noise_processes.OU_process.start_sequence" title="qdarts.noise_processes.OU_process.start_sequence"><code class="xref py py-obj docutils literal notranslate"><span class="pre">start_sequence</span></code></a>()</p></td>
+<td><p>Restart the sequence so that the next sample drawn is independent from all previous samples.</p></td>
+</tr>
+</tbody>
+</table>
+<dl class="py method">
+<dt class="sig sig-object py" id="qdarts.noise_processes.OU_process.next_val">
+<span class="sig-name descname"><span class="pre">next_val</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#qdarts.noise_processes.OU_process.next_val" title="Link to this definition">¶</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="qdarts.noise_processes.OU_process.slice">
+<span class="sig-name descname"><span class="pre">slice</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">P</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">m</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#qdarts.noise_processes.OU_process.slice" title="Link to this definition">¶</a></dt>
+<dd><p>Restricts the noise to the affine subspace <span class="math notranslate nohighlight">\(v=m+Pv\)</span>.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>P</strong> (<em>MxK np.array</em><em> of </em><em>floats</em>) – The linear coefficient matrix.</p></li>
+<li><p><strong>m</strong> (<em>M np.array</em><em> of </em><em>floats</em>) – offset of the affine transformation.</p></li>
+</ul>
+</dd>
+<dt class="field-even">Return type<span class="colon">:</span></dt>
+<dd class="field-even"><p>A noise process object describing the noise on the affine subspace. The current noise object remains unchanged.</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="qdarts.noise_processes.OU_process.start_sequence">
+<span class="sig-name descname"><span class="pre">start_sequence</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#qdarts.noise_processes.OU_process.start_sequence" title="Link to this definition">¶</a></dt>
+<dd><p>Restart the sequence so that the next sample drawn is independent from all previous samples.</p>
+</dd></dl>
+
+</dd></dl>
+
+</section>
+
+
+ </div>
+
+ </div>
+ </div>
+ <div class="sphinxsidebar" role="navigation" aria-label="main navigation">
+ <div class="sphinxsidebarwrapper">
+<h1 class="logo"><a href="../index.html">QDarts</a></h1>
+
+
+
+
+
+
+
+
+<h3>Navigation</h3>
+<ul class="current">
+<li class="toctree-l1"><a class="reference internal" href="../api_tutorial.html">API Usage Tutorial</a></li>
+<li class="toctree-l1 current"><a class="reference internal" href="../api.html">API</a></li>
+</ul>
+
+<div class="relations">
+<h3>Related Topics</h3>
+<ul>
+ <li><a href="../index.html">Documentation overview</a><ul>
+ <li><a href="../api.html">API</a><ul>
+ <li>Previous: <a href="qdarts.tunneling_simulator.NoisySensorDot.html" title="previous chapter">qdarts.tunneling_simulator.NoisySensorDot</a></li>
+ <li>Next: <a href="qdarts.noise_processes.Cosine_Mean_Function.html" title="next chapter">qdarts.noise_processes.Cosine_Mean_Function</a></li>
+ </ul></li>
+ </ul></li>
+</ul>
+</div>
+<search id="searchbox" style="display: none" role="search">
+ <h3 id="searchlabel">Quick search</h3>
+ <div class="searchformwrapper">
+ <form class="search" action="../search.html" method="get">
+ <input type="text" name="q" aria-labelledby="searchlabel" autocomplete="off" autocorrect="off" autocapitalize="off" spellcheck="false"/>
+ <input type="submit" value="Go" />
+ </form>
+ </div>
+</search>
+<script>document.getElementById('searchbox').style.display = "block"</script>
+
+
+
+
+
+
+
+
+ </div>
+ </div>
+ <div class="clearer"></div>
+ </div>
+ <div class="footer">
+ ©2024, Oswin Krause, Jan Krzywda, Weikun Liu, Evert van Nieuwenburg.
+
+ |
+ Powered by <a href="https://www.sphinx-doc.org/">Sphinx 7.3.7</a>
+ & <a href="https://alabaster.readthedocs.io">Alabaster 0.7.16</a>
+
+ |
+ <a href="../_sources/interfaces/qdarts.noise_processes.OU_process.rst.txt"
+ rel="nofollow">Page source</a>
+ </div>
+
+
+
+
+ </body>
+</html>
\ No newline at end of file
diff --git a/QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/docs/interfaces/qdarts.polytope.Polytope.html b/QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/docs/interfaces/qdarts.polytope.Polytope.html
new file mode 100644
index 0000000..e714c2e
--- /dev/null
+++ b/QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/docs/interfaces/qdarts.polytope.Polytope.html
@@ -0,0 +1,281 @@
+<!DOCTYPE html>
+
+<html lang="en" data-content_root="../">
+ <head>
+ <meta charset="utf-8" />
+ <meta name="viewport" content="width=device-width, initial-scale=1.0" /><meta name="generator" content="Docutils 0.18.1: http://docutils.sourceforge.net/" />
+
+ <title>qdarts.polytope.Polytope — QDarts documentation</title>
+ <link rel="stylesheet" type="text/css" href="../_static/pygments.css?v=61cd365c" />
+ <link rel="stylesheet" type="text/css" href="../_static/alabaster.css?v=12dfc556" />
+ <script src="../_static/documentation_options.js?v=5929fcd5"></script>
+ <script src="../_static/doctools.js?v=9a2dae69"></script>
+ <script src="../_static/sphinx_highlight.js?v=dc90522c"></script>
+ <script async="async" src="https://cdn.jsdelivr.net/npm/mathjax@3/es5/tex-mml-chtml.js"></script>
+ <link rel="index" title="Index" href="../genindex.html" />
+ <link rel="search" title="Search" href="../search.html" />
+ <link rel="next" title="qdarts.capacitance_model.AbstractCapacitanceModel" href="qdarts.capacitance_model.AbstractCapacitanceModel.html" />
+ <link rel="prev" title="qdarts.tunneling_simulator.LocalSystem" href="qdarts.tunneling_simulator.LocalSystem.html" />
+
+ <link rel="stylesheet" href="../_static/custom.css" type="text/css" />
+
+
+
+
+
+ </head><body>
+
+
+ <div class="document">
+ <div class="documentwrapper">
+ <div class="bodywrapper">
+
+
+ <div class="body" role="main">
+
+ <section id="qdarts-polytope-polytope">
+<h1>qdarts.polytope.Polytope<a class="headerlink" href="#qdarts-polytope-polytope" title="Link to this heading">¶</a></h1>
+<dl class="py class">
+<dt class="sig sig-object py" id="qdarts.polytope.Polytope">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">qdarts.polytope.</span></span><span class="sig-name descname"><span class="pre">Polytope</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">state</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#qdarts.polytope.Polytope" title="Link to this definition">¶</a></dt>
+<dd><p>Represents the polytope P(n) defined by all gate voltages v in a device that have
+capacitive ground state n. They are stored as a set of linear inequalities (A,b), and
+A point v in P(n) fulfills</p>
+<p><span class="math notranslate nohighlight">\(Av+b <0\)</span></p>
+<p>Each inequality represents a facet of the polytope and each facet marks a transition from P(n) to
+some other ground state polytope P(n’). The state difference t=n’-n is stored as label for each
+inequality.</p>
+<p>Not each inequality stored must touch the polytope. There might be others that could be removed without changing P(n).
+The distance from the polytope is given by the slack variable s that for each inequality either is 0 if the side is touching
+(or some number numerically close to 0, e..g, 1.e-8) and otherwise we have</p>
+<p><span class="math notranslate nohighlight">\(s_i = min_v A_i^Tv +b_i, v \in P(n)\)</span></p>
+<p>If the inequalities measure difference in capacitive energy from the ground state (which is default in the simulator) the slack
+therefore indicates the minimum energy gap between the transition state indicated by the inequality and the ground state.</p>
+<p>Finally, for optimization reason, not every polytope might be fully computed and must be verified. This should never happen to a user
+and is mostly an internal detail of the simulator. This holds as well for additional information that can be stored inside a dict in the
+polytope. The simulators can store additional info in the polytope via this way.</p>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="qdarts.polytope.Polytope.state">
+<span class="sig-name descname"><span class="pre">state</span></span><a class="headerlink" href="#qdarts.polytope.Polytope.state" title="Link to this definition">¶</a></dt>
+<dd><p>The D dimensional array that stores the electron configuration n of the current ground state polytope. All points inside
+the polytope have this state as ground state.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Type<span class="colon">:</span></dt>
+<dd class="field-odd"><p>D np.array of int</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="qdarts.polytope.Polytope.labels">
+<span class="sig-name descname"><span class="pre">labels</span></span><a class="headerlink" href="#qdarts.polytope.Polytope.labels" title="Link to this definition">¶</a></dt>
+<dd><p>Matrix of transitions. Each of the N inequalities is labeled by the state difference t=n’-n.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Type<span class="colon">:</span></dt>
+<dd class="field-odd"><p>NxD np.array of int</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="qdarts.polytope.Polytope.A">
+<span class="sig-name descname"><span class="pre">A</span></span><a class="headerlink" href="#qdarts.polytope.Polytope.A" title="Link to this definition">¶</a></dt>
+<dd><p>Linear factors of the N inequalities for a K-dimensional gate space.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Type<span class="colon">:</span></dt>
+<dd class="field-odd"><p>NxK np.array of float</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="qdarts.polytope.Polytope.b">
+<span class="sig-name descname"><span class="pre">b</span></span><a class="headerlink" href="#qdarts.polytope.Polytope.b" title="Link to this definition">¶</a></dt>
+<dd><p>constant offsets of the N linear inequalities</p>
+<dl class="field-list simple">
+<dt class="field-odd">Type<span class="colon">:</span></dt>
+<dd class="field-odd"><p>N np.array of float</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="qdarts.polytope.Polytope.slacks">
+<span class="sig-name descname"><span class="pre">slacks</span></span><a class="headerlink" href="#qdarts.polytope.Polytope.slacks" title="Link to this definition">¶</a></dt>
+<dd><p>Measures the distance of the inequality from the boundary of the polytope. ~0 if touching.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Type<span class="colon">:</span></dt>
+<dd class="field-odd"><p>N np.array of float</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="qdarts.polytope.Polytope.point_inside">
+<span class="sig-name descname"><span class="pre">point_inside</span></span><a class="headerlink" href="#qdarts.polytope.Polytope.point_inside" title="Link to this definition">¶</a></dt>
+<dd><p>A point inside the polytope.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Type<span class="colon">:</span></dt>
+<dd class="field-odd"><p>K np.array of float</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="qdarts.polytope.Polytope.must_verify">
+<span class="sig-name descname"><span class="pre">must_verify</span></span><a class="headerlink" href="#qdarts.polytope.Polytope.must_verify" title="Link to this definition">¶</a></dt>
+<dd><p>Internal variable for bookkeeping whether the polytope needs recomputing (mostly after slice). Should ALWAYS be False for polytopes
+queried from the simulator. TODO: can we remove this?</p>
+<dl class="field-list simple">
+<dt class="field-odd">Type<span class="colon">:</span></dt>
+<dd class="field-odd"><p>bool</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="qdarts.polytope.Polytope.additional_info">
+<span class="sig-name descname"><span class="pre">additional_info</span></span><a class="headerlink" href="#qdarts.polytope.Polytope.additional_info" title="Link to this definition">¶</a></dt>
+<dd><p>Internal additional information that later steps of the simulation can store inside a polytope for bookkeeping.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Type<span class="colon">:</span></dt>
+<dd class="field-odd"><p>dict</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="qdarts.polytope.Polytope.__init__">
+<span class="sig-name descname"><span class="pre">__init__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">state</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#qdarts.polytope.Polytope.__init__" title="Link to this definition">¶</a></dt>
+<dd></dd></dl>
+
+<p class="rubric">Methods</p>
+<table class="autosummary longtable docutils align-default">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#qdarts.polytope.Polytope.__init__" title="qdarts.polytope.Polytope.__init__"><code class="xref py py-obj docutils literal notranslate"><span class="pre">__init__</span></code></a>(state)</p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#qdarts.polytope.Polytope.invertible_transform" title="qdarts.polytope.Polytope.invertible_transform"><code class="xref py py-obj docutils literal notranslate"><span class="pre">invertible_transform</span></code></a>(P, m)</p></td>
+<td><p>Apply an invertible affine transformation to the polytope.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#qdarts.polytope.Polytope.lazy_slice" title="qdarts.polytope.Polytope.lazy_slice"><code class="xref py py-obj docutils literal notranslate"><span class="pre">lazy_slice</span></code></a>(P, m)</p></td>
+<td><p>Slices a polytope lazyily, i.e., without recomputing the slacks and boundaries.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#qdarts.polytope.Polytope.set_polytope" title="qdarts.polytope.Polytope.set_polytope"><code class="xref py py-obj docutils literal notranslate"><span class="pre">set_polytope</span></code></a>(labels, A, b, slacks, point_inside)</p></td>
+<td><p>Sets the internal variables of the polytope.</p></td>
+</tr>
+</tbody>
+</table>
+<dl class="py method">
+<dt class="sig sig-object py" id="qdarts.polytope.Polytope.invertible_transform">
+<span class="sig-name descname"><span class="pre">invertible_transform</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">P</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">m</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#qdarts.polytope.Polytope.invertible_transform" title="Link to this definition">¶</a></dt>
+<dd><p>Apply an invertible affine transformation to the polytope. This can be done without changing slacks and thus no verification is needed.</p>
+<p>Changes the space of the polytope via the transformation <span class="math notranslate nohighlight">\(v=Av'+b\)</span>. Returns the polytope in the coordinate system of v’</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>P</strong> (<em>KxK np.array</em><em> of </em><em>float</em>) – Invertible linear transformation matrix</p></li>
+<li><p><strong>m</strong> (<em>K np.array</em><em> of </em><em>float</em>) – Affine offset of the transformation.</p></li>
+</ul>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="qdarts.polytope.Polytope.lazy_slice">
+<span class="sig-name descname"><span class="pre">lazy_slice</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">P</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">m</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#qdarts.polytope.Polytope.lazy_slice" title="Link to this definition">¶</a></dt>
+<dd><p>Slices a polytope lazyily, i.e., without recomputing the slacks and boundaries.</p>
+<p>As a result, after this must_verify is True. P is not required to be invertible.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>P</strong> (<em>KxK np.array</em><em> of </em><em>float</em>) – Invertible linear transformation matrix</p></li>
+<li><p><strong>m</strong> (<em>K np.array</em><em> of </em><em>float</em>) – Affine offset of the transformation.</p></li>
+</ul>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="qdarts.polytope.Polytope.set_polytope">
+<span class="sig-name descname"><span class="pre">set_polytope</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">labels</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">A</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">b</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">slacks</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">point_inside</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">must_verify</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#qdarts.polytope.Polytope.set_polytope" title="Link to this definition">¶</a></dt>
+<dd><p>Sets the internal variables of the polytope.</p>
+<p>Helper function to ensure thateverything is set as it should be.</p>
+</dd></dl>
+
+</dd></dl>
+
+</section>
+
+
+ </div>
+
+ </div>
+ </div>
+ <div class="sphinxsidebar" role="navigation" aria-label="main navigation">
+ <div class="sphinxsidebarwrapper">
+<h1 class="logo"><a href="../index.html">QDarts</a></h1>
+
+
+
+
+
+
+
+
+<h3>Navigation</h3>
+<ul class="current">
+<li class="toctree-l1"><a class="reference internal" href="../api_tutorial.html">API Usage Tutorial</a></li>
+<li class="toctree-l1 current"><a class="reference internal" href="../api.html">API</a></li>
+</ul>
+
+<div class="relations">
+<h3>Related Topics</h3>
+<ul>
+ <li><a href="../index.html">Documentation overview</a><ul>
+ <li><a href="../api.html">API</a><ul>
+ <li>Previous: <a href="qdarts.tunneling_simulator.LocalSystem.html" title="previous chapter">qdarts.tunneling_simulator.LocalSystem</a></li>
+ <li>Next: <a href="qdarts.capacitance_model.AbstractCapacitanceModel.html" title="next chapter">qdarts.capacitance_model.AbstractCapacitanceModel</a></li>
+ </ul></li>
+ </ul></li>
+</ul>
+</div>
+<search id="searchbox" style="display: none" role="search">
+ <h3 id="searchlabel">Quick search</h3>
+ <div class="searchformwrapper">
+ <form class="search" action="../search.html" method="get">
+ <input type="text" name="q" aria-labelledby="searchlabel" autocomplete="off" autocorrect="off" autocapitalize="off" spellcheck="false"/>
+ <input type="submit" value="Go" />
+ </form>
+ </div>
+</search>
+<script>document.getElementById('searchbox').style.display = "block"</script>
+
+
+
+
+
+
+
+
+ </div>
+ </div>
+ <div class="clearer"></div>
+ </div>
+ <div class="footer">
+ ©2024, Oswin Krause, Jan Krzywda, Weikun Liu, Evert van Nieuwenburg.
+
+ |
+ Powered by <a href="https://www.sphinx-doc.org/">Sphinx 7.3.7</a>
+ & <a href="https://alabaster.readthedocs.io">Alabaster 0.7.16</a>
+
+ |
+ <a href="../_sources/interfaces/qdarts.polytope.Polytope.rst.txt"
+ rel="nofollow">Page source</a>
+ </div>
+
+
+
+
+ </body>
+</html>
\ No newline at end of file
diff --git a/QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/docs/interfaces/qdarts.simulator.AbstractCapacitiveDeviceSimulator.html b/QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/docs/interfaces/qdarts.simulator.AbstractCapacitiveDeviceSimulator.html
new file mode 100644
index 0000000..94ffb1b
--- /dev/null
+++ b/QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/docs/interfaces/qdarts.simulator.AbstractCapacitiveDeviceSimulator.html
@@ -0,0 +1,334 @@
+<!DOCTYPE html>
+
+<html lang="en" data-content_root="../">
+ <head>
+ <meta charset="utf-8" />
+ <meta name="viewport" content="width=device-width, initial-scale=1.0" /><meta name="generator" content="Docutils 0.18.1: http://docutils.sourceforge.net/" />
+
+ <title>qdarts.simulator.AbstractCapacitiveDeviceSimulator — QDarts documentation</title>
+ <link rel="stylesheet" type="text/css" href="../_static/pygments.css?v=61cd365c" />
+ <link rel="stylesheet" type="text/css" href="../_static/alabaster.css?v=12dfc556" />
+ <script src="../_static/documentation_options.js?v=5929fcd5"></script>
+ <script src="../_static/doctools.js?v=9a2dae69"></script>
+ <script src="../_static/sphinx_highlight.js?v=dc90522c"></script>
+ <link rel="index" title="Index" href="../genindex.html" />
+ <link rel="search" title="Search" href="../search.html" />
+ <link rel="next" title="qdarts.noise_processes.AbstractNoiseProcess" href="qdarts.noise_processes.AbstractNoiseProcess.html" />
+ <link rel="prev" title="qdarts.simulator.AbstractPolytopeSimulator" href="qdarts.simulator.AbstractPolytopeSimulator.html" />
+
+ <link rel="stylesheet" href="../_static/custom.css" type="text/css" />
+
+
+
+
+
+ </head><body>
+
+
+ <div class="document">
+ <div class="documentwrapper">
+ <div class="bodywrapper">
+
+
+ <div class="body" role="main">
+
+ <section id="qdarts-simulator-abstractcapacitivedevicesimulator">
+<h1>qdarts.simulator.AbstractCapacitiveDeviceSimulator<a class="headerlink" href="#qdarts-simulator-abstractcapacitivedevicesimulator" title="Link to this heading">¶</a></h1>
+<dl class="py class">
+<dt class="sig sig-object py" id="qdarts.simulator.AbstractCapacitiveDeviceSimulator">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">qdarts.simulator.</span></span><span class="sig-name descname"><span class="pre">AbstractCapacitiveDeviceSimulator</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">capacitance_model</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#qdarts.simulator.AbstractCapacitiveDeviceSimulator" title="Link to this definition">¶</a></dt>
+<dd><p>Base class for all objects that create device simulations from a Capacitive Model.</p>
+<p>This class includes all tools to compute and cache polytopes from the provided capacitive model.
+Polytopes are queried using a call to boundaries() which queries the internal cache and then
+computes the polytope on demand.</p>
+<p>The computed polytope P(n) is the set of voltages v for which n is the ground state of the capacitance
+energy function E(v,n), i.e., n=min_n’ E(v,n’). A facet of the polytope is given by the equality
+E(v,n’)-E(v,n) = 0 for a suitable choice of n’. As a result, when shooting a ray through
+a facet of the polytope created by state n’, there is a transition from state n->n’ in the ground state.</p>
+<p>The computation of the polytope discards by default all states and inequalitis that do not form a facet of P(n).
+However, this can be relaed by allowing a maximum slack, which also keeps facets for which
+min_v E(v,n’)-E(v,n) < max_slack, where v is restricted to elements in the polytope P(n). i.e., max slack keeps facet
+in which the energy difference is small.</p>
+<p>This class supports slicing of the voltage space into affine subspaces.</p>
+<dl class="py method">
+<dt class="sig sig-object py" id="qdarts.simulator.AbstractCapacitiveDeviceSimulator.__init__">
+<span class="sig-name descname"><span class="pre">__init__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">capacitance_model</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#qdarts.simulator.AbstractCapacitiveDeviceSimulator.__init__" title="Link to this definition">¶</a></dt>
+<dd></dd></dl>
+
+<p class="rubric">Methods</p>
+<table class="autosummary longtable docutils align-default">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#qdarts.simulator.AbstractCapacitiveDeviceSimulator.__init__" title="qdarts.simulator.AbstractCapacitiveDeviceSimulator.__init__"><code class="xref py py-obj docutils literal notranslate"><span class="pre">__init__</span></code></a>(capacitance_model)</p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#qdarts.simulator.AbstractCapacitiveDeviceSimulator.boundaries" title="qdarts.simulator.AbstractCapacitiveDeviceSimulator.boundaries"><code class="xref py py-obj docutils literal notranslate"><span class="pre">boundaries</span></code></a>(state)</p></td>
+<td><p>Returns the polytope P(n) of a given state n with all its boundaries, labels and meta information.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#qdarts.simulator.AbstractCapacitiveDeviceSimulator.cached_polytopes" title="qdarts.simulator.AbstractCapacitiveDeviceSimulator.cached_polytopes"><code class="xref py py-obj docutils literal notranslate"><span class="pre">cached_polytopes</span></code></a>()</p></td>
+<td><p>Returns a sequence including all computed and cached polytopes for inspection and modification.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#qdarts.simulator.AbstractCapacitiveDeviceSimulator.compute_polytope" title="qdarts.simulator.AbstractCapacitiveDeviceSimulator.compute_polytope"><code class="xref py py-obj docutils literal notranslate"><span class="pre">compute_polytope</span></code></a>(state)</p></td>
+<td><p>Computes the polytope for a given state.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#qdarts.simulator.AbstractCapacitiveDeviceSimulator.compute_transition_equations" title="qdarts.simulator.AbstractCapacitiveDeviceSimulator.compute_transition_equations"><code class="xref py py-obj docutils literal notranslate"><span class="pre">compute_transition_equations</span></code></a>(state_list, ...)</p></td>
+<td><p>Computes the energy difference equations from target states to all states in the list.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#qdarts.simulator.AbstractCapacitiveDeviceSimulator.find_boundary_intersection" title="qdarts.simulator.AbstractCapacitiveDeviceSimulator.find_boundary_intersection"><code class="xref py py-obj docutils literal notranslate"><span class="pre">find_boundary_intersection</span></code></a>(old_v, new_v, state)</p></td>
+<td><p>Computes an intersection of a ray with the boundary of a polytope and computes the new state</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#qdarts.simulator.AbstractCapacitiveDeviceSimulator.find_state_of_voltage" title="qdarts.simulator.AbstractCapacitiveDeviceSimulator.find_state_of_voltage"><code class="xref py py-obj docutils literal notranslate"><span class="pre">find_state_of_voltage</span></code></a>(v, state_hint[, ...])</p></td>
+<td><p>Searches the ground state for a given voltage, given an initial guess.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#qdarts.simulator.AbstractCapacitiveDeviceSimulator.get_maximum_polytope_slack" title="qdarts.simulator.AbstractCapacitiveDeviceSimulator.get_maximum_polytope_slack"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_maximum_polytope_slack</span></code></a>()</p></td>
+<td><p>Returns the maximum slack value for inclusing of a facet into the polytope.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#qdarts.simulator.AbstractCapacitiveDeviceSimulator.inside_state" title="qdarts.simulator.AbstractCapacitiveDeviceSimulator.inside_state"><code class="xref py py-obj docutils literal notranslate"><span class="pre">inside_state</span></code></a>(v, state)</p></td>
+<td><p>Returns true if a point v is fully within the polytope of a given state.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#qdarts.simulator.AbstractCapacitiveDeviceSimulator.set_maximum_polytope_slack" title="qdarts.simulator.AbstractCapacitiveDeviceSimulator.set_maximum_polytope_slack"><code class="xref py py-obj docutils literal notranslate"><span class="pre">set_maximum_polytope_slack</span></code></a>(maximum_slack)</p></td>
+<td><p>Sets the maximum slack value for inclusing of a facet into the polytope.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#qdarts.simulator.AbstractCapacitiveDeviceSimulator.slice" title="qdarts.simulator.AbstractCapacitiveDeviceSimulator.slice"><code class="xref py py-obj docutils literal notranslate"><span class="pre">slice</span></code></a>(P, m[, proxy])</p></td>
+<td><p>Restricts the simulator to the affine subspace v=m+Pv'</p></td>
+</tr>
+</tbody>
+</table>
+<dl class="py method">
+<dt class="sig sig-object py" id="qdarts.simulator.AbstractCapacitiveDeviceSimulator.boundaries">
+<span class="sig-name descname"><span class="pre">boundaries</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">state</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#qdarts.simulator.AbstractCapacitiveDeviceSimulator.boundaries" title="Link to this definition">¶</a></dt>
+<dd><p>Returns the polytope P(n) of a given state n with all its boundaries, labels and meta information.</p>
+<p>If the polytope is not cached, it needs to be computed. This can take some time for large devices.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>state</strong> (<em>list</em><em> of </em><em>ints</em>) – The state n for which to compute the polytope P(n)</p>
+</dd>
+<dt class="field-even">Return type<span class="colon">:</span></dt>
+<dd class="field-even"><p>The polytope P(n)</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="qdarts.simulator.AbstractCapacitiveDeviceSimulator.cached_polytopes">
+<span class="sig-name descname"><span class="pre">cached_polytopes</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#qdarts.simulator.AbstractCapacitiveDeviceSimulator.cached_polytopes" title="Link to this definition">¶</a></dt>
+<dd><p>Returns a sequence including all computed and cached polytopes for inspection and modification.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="qdarts.simulator.AbstractCapacitiveDeviceSimulator.compute_polytope">
+<em class="property"><span class="pre">abstract</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">compute_polytope</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">state</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#qdarts.simulator.AbstractCapacitiveDeviceSimulator.compute_polytope" title="Link to this definition">¶</a></dt>
+<dd><p>Computes the polytope for a given state.</p>
+<p>Is implemented by the derived class and called when the polytope for a state is not found in cache.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>state</strong> (<em>list</em><em> of </em><em>ints</em>) – the state identifying the polytope</p>
+</dd>
+<dt class="field-even">Return type<span class="colon">:</span></dt>
+<dd class="field-even"><p>A Polytope object containing the full computed polytope.</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="qdarts.simulator.AbstractCapacitiveDeviceSimulator.compute_transition_equations">
+<span class="sig-name descname"><span class="pre">compute_transition_equations</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">state_list</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">state_from</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#qdarts.simulator.AbstractCapacitiveDeviceSimulator.compute_transition_equations" title="Link to this definition">¶</a></dt>
+<dd><p>Computes the energy difference equations from target states to all states in the list.</p>
+<p>For a given state and list of neighbour states, computes the linear equations Av+b that compute the energy differences
+Between the target state_from and the other states. That is, if state_list contains a list of states n’, this
+function constains linear equations E(v,n’)-E(v,state_from)</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>state_list</strong> (<em>numpy array</em><em> of </em><em>ints</em><em> of </em><em>size NxK</em>) – A list containing N states for which to compute the energy differences</p>
+</dd>
+<dt class="field-even">Returns<span class="colon">:</span></dt>
+<dd class="field-even"><p><ul class="simple">
+<li><p><strong>A</strong> (<em>NxK np.array, containing the linear factors for each state in state_list</em>)</p></li>
+<li><p><strong>b</strong> (<em>np.array, containing the N offsets, one for each equation.</em>)</p></li>
+</ul>
+</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="qdarts.simulator.AbstractCapacitiveDeviceSimulator.find_boundary_intersection">
+<span class="sig-name descname"><span class="pre">find_boundary_intersection</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">old_v</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">new_v</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">state</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">epsilon</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">1e-06</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">deep_search</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#qdarts.simulator.AbstractCapacitiveDeviceSimulator.find_boundary_intersection" title="Link to this definition">¶</a></dt>
+<dd><p>Computes an intersection of a ray with the boundary of a polytope and computes the new state</p>
+<p>For a given state and a voltage old_v within the polytope of this state and a point new_v outside the polytope,
+computes the intersection of the ray old_v+t*(new_v-old_v) with the boundary of the polytope.
+the intersection point and new target state is computed.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>old_v</strong> (<em>np.array</em><em> of </em><em>floats</em>) – A point within the current polytope</p></li>
+<li><p><strong>new_v</strong> (<em>np.array</em><em> of </em><em>floats</em>) – Another point on the ray</p></li>
+<li><p><strong>state</strong> (<em>list</em><em> of </em><em>ints</em>) – The ground state n of old_v. It is assumed that v is element of P(n)</p></li>
+<li><p><strong>epsilon</strong> (<em>float</em>) – slack value added to the ray t to ensure that the point is numerically clearly outside the polytope.</p></li>
+<li><p><strong>deep_search</strong> (<em>bool</em>) – whether an iterative search is performed for the new point in case none of the direct neighbours of the polytope match.
+If false, will throw an exception in that case. An exception is also raised when the deep search failed.</p></li>
+</ul>
+</dd>
+<dt class="field-even">Return type<span class="colon">:</span></dt>
+<dd class="field-even"><p>The first intersection point of the ray with the polytope, together with the new state</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="qdarts.simulator.AbstractCapacitiveDeviceSimulator.find_state_of_voltage">
+<span class="sig-name descname"><span class="pre">find_state_of_voltage</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">v</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">state_hint</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">deep_search</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#qdarts.simulator.AbstractCapacitiveDeviceSimulator.find_state_of_voltage" title="Link to this definition">¶</a></dt>
+<dd><p>Searches the ground state for a given voltage, given an initial guess.</p>
+<p>For a given state voltage, computes the state for which is within the polytope of the state.
+Note that the choice of the hint is not arbitrary, since the search starts from a point in state_hint
+in order to find iteratively intersections with the boundary that are closer to v. A specific requirement
+is that the polytope must not be empty, i.e., in case of a sliced simulator, the polytope must intersect
+with the affine space. This can sometimes be tricky and we recommend perform this type of computations
+only on spaces where all plungers are available and then perform the slicing through v.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>v</strong> (<em>np.array</em><em> of </em><em>floats</em>) – Voltage vector for which to find the ground state</p></li>
+<li><p><strong>state_hint</strong> (<em>list</em><em> of </em><em>ints</em>) – a likely candidate for the state.</p></li>
+<li><p><strong>deep_search</strong> (<em>bool</em>) – whether an iterative search is performed in case none of the direct neighbours of a polytope match.
+If false, will throw an exception in that case. An exception is also raised when the deep search failed.</p></li>
+</ul>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="qdarts.simulator.AbstractCapacitiveDeviceSimulator.get_maximum_polytope_slack">
+<em class="property"><span class="pre">abstract</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">get_maximum_polytope_slack</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#qdarts.simulator.AbstractCapacitiveDeviceSimulator.get_maximum_polytope_slack" title="Link to this definition">¶</a></dt>
+<dd><p>Returns the maximum slack value for inclusing of a facet into the polytope.</p>
+<p>Returns the maximum energy distance the closest point of a transition can have to the polytope
+before it is discarded. Setting to 0 means that only transitions that actually touch the polytope
+are kept.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="qdarts.simulator.AbstractCapacitiveDeviceSimulator.inside_state">
+<span class="sig-name descname"><span class="pre">inside_state</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">v</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">state</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#qdarts.simulator.AbstractCapacitiveDeviceSimulator.inside_state" title="Link to this definition">¶</a></dt>
+<dd><p>Returns true if a point v is fully within the polytope of a given state.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>state</strong> (<em>list</em><em> of </em><em>ints</em>) – The state n identifying the polytope P(n)</p></li>
+<li><p><strong>v</strong> (<em>np.array</em><em> of </em><em>floats</em>) – The point v</p></li>
+</ul>
+</dd>
+<dt class="field-even">Return type<span class="colon">:</span></dt>
+<dd class="field-even"><p>The truth value of whether v is element of P(n)</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="qdarts.simulator.AbstractCapacitiveDeviceSimulator.set_maximum_polytope_slack">
+<em class="property"><span class="pre">abstract</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">set_maximum_polytope_slack</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">maximum_slack</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#qdarts.simulator.AbstractCapacitiveDeviceSimulator.set_maximum_polytope_slack" title="Link to this definition">¶</a></dt>
+<dd><p>Sets the maximum slack value for inclusing of a facet into the polytope.</p>
+<p>Sets the maximum distance the closest point of a transition can have to the polytope
+before it is discarded. Setting to 0 means that only transitions that actually touch the polytope
+are kept.</p>
+<p>Note that changing this value clears the cache.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="qdarts.simulator.AbstractCapacitiveDeviceSimulator.slice">
+<em class="property"><span class="pre">abstract</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">slice</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">P</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">m</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">proxy</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#qdarts.simulator.AbstractCapacitiveDeviceSimulator.slice" title="Link to this definition">¶</a></dt>
+<dd><p>Restricts the simulator to the affine subspace v=m+Pv’</p>
+<p>Computes the slice through the device by setting v=m+Pv’, where v is the plunger gate voltages of the
+original device and v’ is the new coordinate system. Must be implemented by derived classes.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>P</strong> (<em>MxK np.array</em><em> of </em><em>floats</em>) – The linear coefficient matrix. Here M is the number of voltage elements in v in the full simulation
+and K the dimensionality of the subspace.</p></li>
+<li><p><strong>m</strong> (<em>offset</em><em> of </em><em>the affine trnsformation.</em>)</p></li>
+<li><p><strong>proxy</strong> (<em>bool</em>) – Whether a proxy is returned. A proxy shares the cache, if possible. This is the case when P is invertible,
+especially this entails M=K. If cache sharing is possible, the simulation computes the original polytope and then
+applies the affine transformation. This can reduce run time a lot if several slices need to be computed for the
+same simulation.</p></li>
+</ul>
+</dd>
+<dt class="field-even">Return type<span class="colon">:</span></dt>
+<dd class="field-even"><p>A simulator object describing the simulation on the affine subspace. The current simulation object remains unchanged.</p>
+</dd>
+</dl>
+</dd></dl>
+
+</dd></dl>
+
+</section>
+
+
+ </div>
+
+ </div>
+ </div>
+ <div class="sphinxsidebar" role="navigation" aria-label="main navigation">
+ <div class="sphinxsidebarwrapper">
+<h1 class="logo"><a href="../index.html">QDarts</a></h1>
+
+
+
+
+
+
+
+
+<h3>Navigation</h3>
+<ul class="current">
+<li class="toctree-l1"><a class="reference internal" href="../api_tutorial.html">API Usage Tutorial</a></li>
+<li class="toctree-l1 current"><a class="reference internal" href="../api.html">API</a></li>
+</ul>
+
+<div class="relations">
+<h3>Related Topics</h3>
+<ul>
+ <li><a href="../index.html">Documentation overview</a><ul>
+ <li><a href="../api.html">API</a><ul>
+ <li>Previous: <a href="qdarts.simulator.AbstractPolytopeSimulator.html" title="previous chapter">qdarts.simulator.AbstractPolytopeSimulator</a></li>
+ <li>Next: <a href="qdarts.noise_processes.AbstractNoiseProcess.html" title="next chapter">qdarts.noise_processes.AbstractNoiseProcess</a></li>
+ </ul></li>
+ </ul></li>
+</ul>
+</div>
+<search id="searchbox" style="display: none" role="search">
+ <h3 id="searchlabel">Quick search</h3>
+ <div class="searchformwrapper">
+ <form class="search" action="../search.html" method="get">
+ <input type="text" name="q" aria-labelledby="searchlabel" autocomplete="off" autocorrect="off" autocapitalize="off" spellcheck="false"/>
+ <input type="submit" value="Go" />
+ </form>
+ </div>
+</search>
+<script>document.getElementById('searchbox').style.display = "block"</script>
+
+
+
+
+
+
+
+
+ </div>
+ </div>
+ <div class="clearer"></div>
+ </div>
+ <div class="footer">
+ ©2024, Oswin Krause, Jan Krzywda, Weikun Liu, Evert van Nieuwenburg.
+
+ |
+ Powered by <a href="https://www.sphinx-doc.org/">Sphinx 7.3.7</a>
+ & <a href="https://alabaster.readthedocs.io">Alabaster 0.7.16</a>
+
+ |
+ <a href="../_sources/interfaces/qdarts.simulator.AbstractCapacitiveDeviceSimulator.rst.txt"
+ rel="nofollow">Page source</a>
+ </div>
+
+
+
+
+ </body>
+</html>
\ No newline at end of file
diff --git a/QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/docs/interfaces/qdarts.simulator.AbstractPolytopeSimulator.html b/QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/docs/interfaces/qdarts.simulator.AbstractPolytopeSimulator.html
new file mode 100644
index 0000000..0ed88af
--- /dev/null
+++ b/QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/docs/interfaces/qdarts.simulator.AbstractPolytopeSimulator.html
@@ -0,0 +1,194 @@
+<!DOCTYPE html>
+
+<html lang="en" data-content_root="../">
+ <head>
+ <meta charset="utf-8" />
+ <meta name="viewport" content="width=device-width, initial-scale=1.0" /><meta name="generator" content="Docutils 0.18.1: http://docutils.sourceforge.net/" />
+
+ <title>qdarts.simulator.AbstractPolytopeSimulator — QDarts documentation</title>
+ <link rel="stylesheet" type="text/css" href="../_static/pygments.css?v=61cd365c" />
+ <link rel="stylesheet" type="text/css" href="../_static/alabaster.css?v=12dfc556" />
+ <script src="../_static/documentation_options.js?v=5929fcd5"></script>
+ <script src="../_static/doctools.js?v=9a2dae69"></script>
+ <script src="../_static/sphinx_highlight.js?v=dc90522c"></script>
+ <link rel="index" title="Index" href="../genindex.html" />
+ <link rel="search" title="Search" href="../search.html" />
+ <link rel="next" title="qdarts.simulator.AbstractCapacitiveDeviceSimulator" href="qdarts.simulator.AbstractCapacitiveDeviceSimulator.html" />
+ <link rel="prev" title="qdarts.capacitance_model.AbstractCapacitanceModel" href="qdarts.capacitance_model.AbstractCapacitanceModel.html" />
+
+ <link rel="stylesheet" href="../_static/custom.css" type="text/css" />
+
+
+
+
+
+ </head><body>
+
+
+ <div class="document">
+ <div class="documentwrapper">
+ <div class="bodywrapper">
+
+
+ <div class="body" role="main">
+
+ <section id="qdarts-simulator-abstractpolytopesimulator">
+<h1>qdarts.simulator.AbstractPolytopeSimulator<a class="headerlink" href="#qdarts-simulator-abstractpolytopesimulator" title="Link to this heading">¶</a></h1>
+<dl class="py class">
+<dt class="sig sig-object py" id="qdarts.simulator.AbstractPolytopeSimulator">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">qdarts.simulator.</span></span><span class="sig-name descname"><span class="pre">AbstractPolytopeSimulator</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">num_dots</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">num_inputs</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#qdarts.simulator.AbstractPolytopeSimulator" title="Link to this definition">¶</a></dt>
+<dd><p>Base class for all simulation objects that can compute and return polytopes.</p>
+<p>The class only has a single method boundaries which returns the boundary description of the polytope
+with meta information as well as two attributes:</p>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="qdarts.simulator.AbstractPolytopeSimulator.num_dots">
+<span class="sig-name descname"><span class="pre">num_dots</span></span><a class="headerlink" href="#qdarts.simulator.AbstractPolytopeSimulator.num_dots" title="Link to this definition">¶</a></dt>
+<dd><p>number of dots in the device, i.e., number of entries in the state vector of the polytope</p>
+<dl class="field-list simple">
+<dt class="field-odd">Type<span class="colon">:</span></dt>
+<dd class="field-odd"><p>int</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="qdarts.simulator.AbstractPolytopeSimulator.num_inputs">
+<span class="sig-name descname"><span class="pre">num_inputs</span></span><a class="headerlink" href="#qdarts.simulator.AbstractPolytopeSimulator.num_inputs" title="Link to this definition">¶</a></dt>
+<dd><p>number of gate voltages in the device. The polytope lives in a space that is num_inputs dimensonal.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Type<span class="colon">:</span></dt>
+<dd class="field-odd"><p>int</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="qdarts.simulator.AbstractPolytopeSimulator.__init__">
+<span class="sig-name descname"><span class="pre">__init__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">num_dots</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">num_inputs</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#qdarts.simulator.AbstractPolytopeSimulator.__init__" title="Link to this definition">¶</a></dt>
+<dd></dd></dl>
+
+<p class="rubric">Methods</p>
+<table class="autosummary longtable docutils align-default">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#qdarts.simulator.AbstractPolytopeSimulator.__init__" title="qdarts.simulator.AbstractPolytopeSimulator.__init__"><code class="xref py py-obj docutils literal notranslate"><span class="pre">__init__</span></code></a>(num_dots, num_inputs)</p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#qdarts.simulator.AbstractPolytopeSimulator.boundaries" title="qdarts.simulator.AbstractPolytopeSimulator.boundaries"><code class="xref py py-obj docutils literal notranslate"><span class="pre">boundaries</span></code></a>(state)</p></td>
+<td><p>Returns the polytope P(n) of a given state n with all its boundaries, labels and meta information.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#qdarts.simulator.AbstractPolytopeSimulator.slice" title="qdarts.simulator.AbstractPolytopeSimulator.slice"><code class="xref py py-obj docutils literal notranslate"><span class="pre">slice</span></code></a>(P, m[, proxy])</p></td>
+<td><p>Restricts the simulator to the affine subspace v=m+Pv'</p></td>
+</tr>
+</tbody>
+</table>
+<dl class="py method">
+<dt class="sig sig-object py" id="qdarts.simulator.AbstractPolytopeSimulator.boundaries">
+<em class="property"><span class="pre">abstract</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">boundaries</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">state</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#qdarts.simulator.AbstractPolytopeSimulator.boundaries" title="Link to this definition">¶</a></dt>
+<dd><p>Returns the polytope P(n) of a given state n with all its boundaries, labels and meta information.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>state</strong> (<em>list</em><em> of </em><em>ints</em>) – The state n for which to compute the polytope P(n)</p>
+</dd>
+<dt class="field-even">Return type<span class="colon">:</span></dt>
+<dd class="field-even"><p>The polytope P(n)</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="qdarts.simulator.AbstractPolytopeSimulator.slice">
+<em class="property"><span class="pre">abstract</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">slice</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">P</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">m</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">proxy</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#qdarts.simulator.AbstractPolytopeSimulator.slice" title="Link to this definition">¶</a></dt>
+<dd><p>Restricts the simulator to the affine subspace v=m+Pv’</p>
+<p>Computes the slice through the device by setting v=m+Pv’, where v is the plunger gate voltages of the
+original device and v’ is the new coordinate system. Must be implemented by derived classes.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>P</strong> (<em>MxK np.array</em><em> of </em><em>floats</em>) – The linear coefficient matrix. Here M is the number of voltage elements in v in the full simulation
+and K the dimensionality of the subspace.</p></li>
+<li><p><strong>m</strong> (<em>offset</em><em> of </em><em>the affine trnsformation.</em>)</p></li>
+<li><p><strong>proxy</strong> (<em>bool</em>) – Whether a proxy is returned. A proxy can share computation between instances, if supported by the derived class</p></li>
+</ul>
+</dd>
+<dt class="field-even">Return type<span class="colon">:</span></dt>
+<dd class="field-even"><p>A simulator object describing the simulation on the affine subspace. The current simulation object remains unchanged.</p>
+</dd>
+</dl>
+</dd></dl>
+
+</dd></dl>
+
+</section>
+
+
+ </div>
+
+ </div>
+ </div>
+ <div class="sphinxsidebar" role="navigation" aria-label="main navigation">
+ <div class="sphinxsidebarwrapper">
+<h1 class="logo"><a href="../index.html">QDarts</a></h1>
+
+
+
+
+
+
+
+
+<h3>Navigation</h3>
+<ul class="current">
+<li class="toctree-l1"><a class="reference internal" href="../api_tutorial.html">API Usage Tutorial</a></li>
+<li class="toctree-l1 current"><a class="reference internal" href="../api.html">API</a></li>
+</ul>
+
+<div class="relations">
+<h3>Related Topics</h3>
+<ul>
+ <li><a href="../index.html">Documentation overview</a><ul>
+ <li><a href="../api.html">API</a><ul>
+ <li>Previous: <a href="qdarts.capacitance_model.AbstractCapacitanceModel.html" title="previous chapter">qdarts.capacitance_model.AbstractCapacitanceModel</a></li>
+ <li>Next: <a href="qdarts.simulator.AbstractCapacitiveDeviceSimulator.html" title="next chapter">qdarts.simulator.AbstractCapacitiveDeviceSimulator</a></li>
+ </ul></li>
+ </ul></li>
+</ul>
+</div>
+<search id="searchbox" style="display: none" role="search">
+ <h3 id="searchlabel">Quick search</h3>
+ <div class="searchformwrapper">
+ <form class="search" action="../search.html" method="get">
+ <input type="text" name="q" aria-labelledby="searchlabel" autocomplete="off" autocorrect="off" autocapitalize="off" spellcheck="false"/>
+ <input type="submit" value="Go" />
+ </form>
+ </div>
+</search>
+<script>document.getElementById('searchbox').style.display = "block"</script>
+
+
+
+
+
+
+
+
+ </div>
+ </div>
+ <div class="clearer"></div>
+ </div>
+ <div class="footer">
+ ©2024, Oswin Krause, Jan Krzywda, Weikun Liu, Evert van Nieuwenburg.
+
+ |
+ Powered by <a href="https://www.sphinx-doc.org/">Sphinx 7.3.7</a>
+ & <a href="https://alabaster.readthedocs.io">Alabaster 0.7.16</a>
+
+ |
+ <a href="../_sources/interfaces/qdarts.simulator.AbstractPolytopeSimulator.rst.txt"
+ rel="nofollow">Page source</a>
+ </div>
+
+
+
+
+ </body>
+</html>
\ No newline at end of file
diff --git a/QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/docs/interfaces/qdarts.simulator.CapacitiveDeviceSimulator.html b/QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/docs/interfaces/qdarts.simulator.CapacitiveDeviceSimulator.html
new file mode 100644
index 0000000..32cb6ef
--- /dev/null
+++ b/QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/docs/interfaces/qdarts.simulator.CapacitiveDeviceSimulator.html
@@ -0,0 +1,224 @@
+<!DOCTYPE html>
+
+<html lang="en" data-content_root="../">
+ <head>
+ <meta charset="utf-8" />
+ <meta name="viewport" content="width=device-width, initial-scale=1.0" /><meta name="generator" content="Docutils 0.18.1: http://docutils.sourceforge.net/" />
+
+ <title>qdarts.simulator.CapacitiveDeviceSimulator — QDarts documentation</title>
+ <link rel="stylesheet" type="text/css" href="../_static/pygments.css?v=61cd365c" />
+ <link rel="stylesheet" type="text/css" href="../_static/alabaster.css?v=12dfc556" />
+ <script src="../_static/documentation_options.js?v=5929fcd5"></script>
+ <script src="../_static/doctools.js?v=9a2dae69"></script>
+ <script src="../_static/sphinx_highlight.js?v=dc90522c"></script>
+ <link rel="index" title="Index" href="../genindex.html" />
+ <link rel="search" title="Search" href="../search.html" />
+ <link rel="next" title="qdarts.tunneling_simulator.ApproximateTunnelingSimulator" href="qdarts.tunneling_simulator.ApproximateTunnelingSimulator.html" />
+ <link rel="prev" title="qdarts.capacitance_model.CapacitanceModel" href="qdarts.capacitance_model.CapacitanceModel.html" />
+
+ <link rel="stylesheet" href="../_static/custom.css" type="text/css" />
+
+
+
+
+
+ </head><body>
+
+
+ <div class="document">
+ <div class="documentwrapper">
+ <div class="bodywrapper">
+
+
+ <div class="body" role="main">
+
+ <section id="qdarts-simulator-capacitivedevicesimulator">
+<h1>qdarts.simulator.CapacitiveDeviceSimulator<a class="headerlink" href="#qdarts-simulator-capacitivedevicesimulator" title="Link to this heading">¶</a></h1>
+<dl class="py class">
+<dt class="sig sig-object py" id="qdarts.simulator.CapacitiveDeviceSimulator">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">qdarts.simulator.</span></span><span class="sig-name descname"><span class="pre">CapacitiveDeviceSimulator</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">capacitance_model</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#qdarts.simulator.CapacitiveDeviceSimulator" title="Link to this definition">¶</a></dt>
+<dd><p>This class simulates a quantum dot device based on a capacitance model.</p>
+<p>The simulator interally keeps track of the Coulomb diamonds (polytopes) and their transitions (facets),
+and takes care of keeping track of which transitions are feasible, with what precision, etc.
+This allows one to ask questions such as: “which transition does this facet correspond to?†and
+“what is the orthogonal axis in voltage space (i.e. virtual gate) that tunes across it?â€.
+The simulator will return, for each transition, a point on the transition line and the virtual gate.</p>
+<p>It also has the ability to take 2D slices through high dimensional voltage spaces to construct 2D
+projections of charge stability diagrams. See documentation of AbstractCapacitiveDeviceSimulator for more details.</p>
+<dl class="py method">
+<dt class="sig sig-object py" id="qdarts.simulator.CapacitiveDeviceSimulator.__init__">
+<span class="sig-name descname"><span class="pre">__init__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">capacitance_model</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#qdarts.simulator.CapacitiveDeviceSimulator.__init__" title="Link to this definition">¶</a></dt>
+<dd></dd></dl>
+
+<p class="rubric">Methods</p>
+<table class="autosummary longtable docutils align-default">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#qdarts.simulator.CapacitiveDeviceSimulator.__init__" title="qdarts.simulator.CapacitiveDeviceSimulator.__init__"><code class="xref py py-obj docutils literal notranslate"><span class="pre">__init__</span></code></a>(capacitance_model)</p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-even"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">boundaries</span></code>(state)</p></td>
+<td><p>Returns the polytope P(n) of a given state n with all its boundaries, labels and meta information.</p></td>
+</tr>
+<tr class="row-odd"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">cached_polytopes</span></code>()</p></td>
+<td><p>Returns a sequence including all computed and cached polytopes for inspection and modification.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#qdarts.simulator.CapacitiveDeviceSimulator.compute_polytope" title="qdarts.simulator.CapacitiveDeviceSimulator.compute_polytope"><code class="xref py py-obj docutils literal notranslate"><span class="pre">compute_polytope</span></code></a>(state)</p></td>
+<td><p>Computes the polytope for a given state.</p></td>
+</tr>
+<tr class="row-odd"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">compute_transition_equations</span></code>(state_list, ...)</p></td>
+<td><p>Computes the energy difference equations from target states to all states in the list.</p></td>
+</tr>
+<tr class="row-even"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">find_boundary_intersection</span></code>(old_v, new_v, state)</p></td>
+<td><p>Computes an intersection of a ray with the boundary of a polytope and computes the new state</p></td>
+</tr>
+<tr class="row-odd"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">find_state_of_voltage</span></code>(v, state_hint[, ...])</p></td>
+<td><p>Searches the ground state for a given voltage, given an initial guess.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#qdarts.simulator.CapacitiveDeviceSimulator.get_maximum_polytope_slack" title="qdarts.simulator.CapacitiveDeviceSimulator.get_maximum_polytope_slack"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_maximum_polytope_slack</span></code></a>()</p></td>
+<td><p>Returns the maximum slack value for inclusing of a facet into the polytope.</p></td>
+</tr>
+<tr class="row-odd"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">inside_state</span></code>(v, state)</p></td>
+<td><p>Returns true if a point v is fully within the polytope of a given state.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#qdarts.simulator.CapacitiveDeviceSimulator.set_maximum_polytope_slack" title="qdarts.simulator.CapacitiveDeviceSimulator.set_maximum_polytope_slack"><code class="xref py py-obj docutils literal notranslate"><span class="pre">set_maximum_polytope_slack</span></code></a>(maximum_slack)</p></td>
+<td><p>Sets the maximum slack value for inclusing of a facet into the polytope.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#qdarts.simulator.CapacitiveDeviceSimulator.slice" title="qdarts.simulator.CapacitiveDeviceSimulator.slice"><code class="xref py py-obj docutils literal notranslate"><span class="pre">slice</span></code></a>(P, m[, proxy])</p></td>
+<td><p>Restricts the simulator to the affine subspace v=m+Pv'</p></td>
+</tr>
+</tbody>
+</table>
+<dl class="py method">
+<dt class="sig sig-object py" id="qdarts.simulator.CapacitiveDeviceSimulator.compute_polytope">
+<span class="sig-name descname"><span class="pre">compute_polytope</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">state</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#qdarts.simulator.CapacitiveDeviceSimulator.compute_polytope" title="Link to this definition">¶</a></dt>
+<dd><p>Computes the polytope for a given state.</p>
+<p>Is implemented by the derived class and called when the polytope for a state is not found in cache.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>state</strong> (<em>list</em><em> of </em><em>ints</em>) – the state identifying the polytope</p>
+</dd>
+<dt class="field-even">Return type<span class="colon">:</span></dt>
+<dd class="field-even"><p>A Polytope object containing the full computed polytope.</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="qdarts.simulator.CapacitiveDeviceSimulator.get_maximum_polytope_slack">
+<span class="sig-name descname"><span class="pre">get_maximum_polytope_slack</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#qdarts.simulator.CapacitiveDeviceSimulator.get_maximum_polytope_slack" title="Link to this definition">¶</a></dt>
+<dd><p>Returns the maximum slack value for inclusing of a facet into the polytope.</p>
+<p>Returns the maximum energy distance the closest point of a transition can have to the polytope
+before it is discarded. Setting to 0 means that only transitions that actually touch the polytope
+are kept.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="qdarts.simulator.CapacitiveDeviceSimulator.set_maximum_polytope_slack">
+<span class="sig-name descname"><span class="pre">set_maximum_polytope_slack</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">maximum_slack</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#qdarts.simulator.CapacitiveDeviceSimulator.set_maximum_polytope_slack" title="Link to this definition">¶</a></dt>
+<dd><p>Sets the maximum slack value for inclusing of a facet into the polytope.</p>
+<p>Sets the maximum distance the closest point of a transition can have to the polytope
+before it is discarded. Setting to 0 means that only transitions that actually touch the polytope
+are kept.</p>
+<p>Note that changing this value clears the cache.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="qdarts.simulator.CapacitiveDeviceSimulator.slice">
+<span class="sig-name descname"><span class="pre">slice</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">P</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">m</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">proxy</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#qdarts.simulator.CapacitiveDeviceSimulator.slice" title="Link to this definition">¶</a></dt>
+<dd><p>Restricts the simulator to the affine subspace v=m+Pv’</p>
+<p>Computes the slice through the device by setting v=m+Pv’, where v is the plunger gate voltages of the
+original device and v’ is the new coordinate system. Must be implemented by derived classes.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>P</strong> (<em>MxK np.array</em><em> of </em><em>floats</em>) – The linear coefficient matrix. Here M is the number of voltage elements in v in the full simulation
+and K the dimensionality of the subspace.</p></li>
+<li><p><strong>m</strong> (<em>offset</em><em> of </em><em>the affine trnsformation.</em>)</p></li>
+<li><p><strong>proxy</strong> (<em>bool</em>) – Whether a proxy is returned. A proxy shares the cache, if possible. This is the case when P is invertible,
+especially this entails M=K. If cache sharing is possible, the simulation computes the original polytope and then
+applies the affine transformation. This can reduce run time a lot if several slices need to be computed for the
+same simulation.</p></li>
+</ul>
+</dd>
+<dt class="field-even">Return type<span class="colon">:</span></dt>
+<dd class="field-even"><p>A simulator object describing the simulation on the affine subspace. The current simulation object remains unchanged.</p>
+</dd>
+</dl>
+</dd></dl>
+
+</dd></dl>
+
+</section>
+
+
+ </div>
+
+ </div>
+ </div>
+ <div class="sphinxsidebar" role="navigation" aria-label="main navigation">
+ <div class="sphinxsidebarwrapper">
+<h1 class="logo"><a href="../index.html">QDarts</a></h1>
+
+
+
+
+
+
+
+
+<h3>Navigation</h3>
+<ul class="current">
+<li class="toctree-l1"><a class="reference internal" href="../api_tutorial.html">API Usage Tutorial</a></li>
+<li class="toctree-l1 current"><a class="reference internal" href="../api.html">API</a></li>
+</ul>
+
+<div class="relations">
+<h3>Related Topics</h3>
+<ul>
+ <li><a href="../index.html">Documentation overview</a><ul>
+ <li><a href="../api.html">API</a><ul>
+ <li>Previous: <a href="qdarts.capacitance_model.CapacitanceModel.html" title="previous chapter">qdarts.capacitance_model.CapacitanceModel</a></li>
+ <li>Next: <a href="qdarts.tunneling_simulator.ApproximateTunnelingSimulator.html" title="next chapter">qdarts.tunneling_simulator.ApproximateTunnelingSimulator</a></li>
+ </ul></li>
+ </ul></li>
+</ul>
+</div>
+<search id="searchbox" style="display: none" role="search">
+ <h3 id="searchlabel">Quick search</h3>
+ <div class="searchformwrapper">
+ <form class="search" action="../search.html" method="get">
+ <input type="text" name="q" aria-labelledby="searchlabel" autocomplete="off" autocorrect="off" autocapitalize="off" spellcheck="false"/>
+ <input type="submit" value="Go" />
+ </form>
+ </div>
+</search>
+<script>document.getElementById('searchbox').style.display = "block"</script>
+
+
+
+
+
+
+
+
+ </div>
+ </div>
+ <div class="clearer"></div>
+ </div>
+ <div class="footer">
+ ©2024, Oswin Krause, Jan Krzywda, Weikun Liu, Evert van Nieuwenburg.
+
+ |
+ Powered by <a href="https://www.sphinx-doc.org/">Sphinx 7.3.7</a>
+ & <a href="https://alabaster.readthedocs.io">Alabaster 0.7.16</a>
+
+ |
+ <a href="../_sources/interfaces/qdarts.simulator.CapacitiveDeviceSimulator.rst.txt"
+ rel="nofollow">Page source</a>
+ </div>
+
+
+
+
+ </body>
+</html>
\ No newline at end of file
diff --git a/QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/docs/interfaces/qdarts.tunneling_simulator.AbstractSensorSim.html b/QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/docs/interfaces/qdarts.tunneling_simulator.AbstractSensorSim.html
new file mode 100644
index 0000000..3dca1c1
--- /dev/null
+++ b/QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/docs/interfaces/qdarts.tunneling_simulator.AbstractSensorSim.html
@@ -0,0 +1,221 @@
+<!DOCTYPE html>
+
+<html lang="en" data-content_root="../">
+ <head>
+ <meta charset="utf-8" />
+ <meta name="viewport" content="width=device-width, initial-scale=1.0" /><meta name="generator" content="Docutils 0.18.1: http://docutils.sourceforge.net/" />
+
+ <title>qdarts.tunneling_simulator.AbstractSensorSim — QDarts documentation</title>
+ <link rel="stylesheet" type="text/css" href="../_static/pygments.css?v=61cd365c" />
+ <link rel="stylesheet" type="text/css" href="../_static/alabaster.css?v=12dfc556" />
+ <script src="../_static/documentation_options.js?v=5929fcd5"></script>
+ <script src="../_static/doctools.js?v=9a2dae69"></script>
+ <script src="../_static/sphinx_highlight.js?v=dc90522c"></script>
+ <link rel="index" title="Index" href="../genindex.html" />
+ <link rel="search" title="Search" href="../search.html" />
+ <link rel="prev" title="qdarts.noise_processes.AbstractNoiseProcess" href="qdarts.noise_processes.AbstractNoiseProcess.html" />
+
+ <link rel="stylesheet" href="../_static/custom.css" type="text/css" />
+
+
+
+
+
+ </head><body>
+
+
+ <div class="document">
+ <div class="documentwrapper">
+ <div class="bodywrapper">
+
+
+ <div class="body" role="main">
+
+ <section id="qdarts-tunneling-simulator-abstractsensorsim">
+<h1>qdarts.tunneling_simulator.AbstractSensorSim<a class="headerlink" href="#qdarts-tunneling-simulator-abstractsensorsim" title="Link to this heading">¶</a></h1>
+<dl class="py class">
+<dt class="sig sig-object py" id="qdarts.tunneling_simulator.AbstractSensorSim">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">qdarts.tunneling_simulator.</span></span><span class="sig-name descname"><span class="pre">AbstractSensorSim</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">num_sensors</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#qdarts.tunneling_simulator.AbstractSensorSim" title="Link to this definition">¶</a></dt>
+<dd><p>Base class defining the interface for all sensor simulations</p>
+<dl class="py method">
+<dt class="sig sig-object py" id="qdarts.tunneling_simulator.AbstractSensorSim.__init__">
+<span class="sig-name descname"><span class="pre">__init__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">num_sensors</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#qdarts.tunneling_simulator.AbstractSensorSim.__init__" title="Link to this definition">¶</a></dt>
+<dd><p>Initialized a sensor configuration with num_sensors sensor dots</p>
+</dd></dl>
+
+<p class="rubric">Methods</p>
+<table class="autosummary longtable docutils align-default">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#qdarts.tunneling_simulator.AbstractSensorSim.__init__" title="qdarts.tunneling_simulator.AbstractSensorSim.__init__"><code class="xref py py-obj docutils literal notranslate"><span class="pre">__init__</span></code></a>(num_sensors)</p></td>
+<td><p>Initialized a sensor configuration with num_sensors sensor dots</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#qdarts.tunneling_simulator.AbstractSensorSim.precompute_sensor_state" title="qdarts.tunneling_simulator.AbstractSensorSim.precompute_sensor_state"><code class="xref py py-obj docutils literal notranslate"><span class="pre">precompute_sensor_state</span></code></a>(state, A, b, ...)</p></td>
+<td><p>Allows the sensor to precompute internal information that is valid for a whole ground state polytope.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#qdarts.tunneling_simulator.AbstractSensorSim.sample_sensor_configuration" title="qdarts.tunneling_simulator.AbstractSensorSim.sample_sensor_configuration"><code class="xref py py-obj docutils literal notranslate"><span class="pre">sample_sensor_configuration</span></code></a>(...)</p></td>
+<td><p>samples a sensor response for a given sampled elecron configuration</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#qdarts.tunneling_simulator.AbstractSensorSim.sample_sensor_equilibrium" title="qdarts.tunneling_simulator.AbstractSensorSim.sample_sensor_equilibrium"><code class="xref py py-obj docutils literal notranslate"><span class="pre">sample_sensor_equilibrium</span></code></a>(v, H, mixed_state, ...)</p></td>
+<td><p>Computes a noisy average of the sensor response for a given mixed state.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#qdarts.tunneling_simulator.AbstractSensorSim.slice" title="qdarts.tunneling_simulator.AbstractSensorSim.slice"><code class="xref py py-obj docutils literal notranslate"><span class="pre">slice</span></code></a>(P, m)</p></td>
+<td><p>Takes an affine subspace of the simulated model.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#qdarts.tunneling_simulator.AbstractSensorSim.start_measurement" title="qdarts.tunneling_simulator.AbstractSensorSim.start_measurement"><code class="xref py py-obj docutils literal notranslate"><span class="pre">start_measurement</span></code></a>()</p></td>
+<td><p>Reinitializes the sensor as to generate independent noise samples</p></td>
+</tr>
+</tbody>
+</table>
+<dl class="py method">
+<dt class="sig sig-object py" id="qdarts.tunneling_simulator.AbstractSensorSim.precompute_sensor_state">
+<em class="property"><span class="pre">abstract</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">precompute_sensor_state</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">state</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">A</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">b</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">basis_labels</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#qdarts.tunneling_simulator.AbstractSensorSim.precompute_sensor_state" title="Link to this definition">¶</a></dt>
+<dd><p>Allows the sensor to precompute internal information that is valid for a whole ground state polytope.</p>
+<p>This allows the sensor to precompute and cache information that is valid for all voltages v that are inside a
+ground state polytope P. The returned values are cached in the polytope objects of the simulator and
+supplied as sensor_state argument during a call of sample_sensor_equilibrium and sample_sensor_configuration.
+The supplied information provides all information of the basis labels considered by the simulation for P(n),
+and the linear functions defining the facets of P(n) Av+b. Note that as everywhere else, these linear functions define
+energy differences for each considered basis label to the ground state.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>state</strong> (<em>np.array</em><em> of </em><em>ints</em>) – the state of N dots, identifying the ground state polytope for which to generate the sensor state information</p></li>
+<li><p><strong>A</strong> (<em>LxK np.array</em><em> of </em><em>floats</em>) – LxK linear parameters of the energy difference function for the K sensor gates</p></li>
+<li><p><strong>b</strong> (<em>np.array</em><em> of </em><em>floats</em>) – The affine offsets of the energy difference function for the L basis states</p></li>
+<li><p><strong>basis_labels</strong> (<em>LxN np.array</em><em> of </em><em>ints</em>) – The labels of the L basis states</p></li>
+</ul>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="qdarts.tunneling_simulator.AbstractSensorSim.sample_sensor_configuration">
+<em class="property"><span class="pre">abstract</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">sample_sensor_configuration</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">sampled_configuration</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">v</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">H</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">mixed_state</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">sensor_state</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">beta</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#qdarts.tunneling_simulator.AbstractSensorSim.sample_sensor_configuration" title="Link to this definition">¶</a></dt>
+<dd><p>samples a sensor response for a given sampled elecron configuration</p>
+<p>This is intended to simulate a short (<<1mus) time integration of the sensor signal,
+where we can not assume that electrons transitions during the measurement. In this case,
+the user supplied the relevant configuration and the sensor returns a sampled signal for this configuration.
+Care should be taken that the configuration sampled has all information needed in the base to compute the sensor
+signal, e.g., there should be a state with one more or less electrons on each sensor dot.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>sampled_configuration</strong> (<em>np.array</em><em> of </em><em>ints</em>) – vector of N elements describing the sampled electron configuration.</p></li>
+<li><p><strong>v</strong> (<em>np.array</em><em> of </em><em>floats</em>) – vector of K gate voltages defining the current system</p></li>
+<li><p><strong>H</strong> (<em>LxL np.array</em><em> of </em><em>floats</em>) – Hamiltonian of the system defined by v. Labels and basis are the same as in precompute_sensor_state</p></li>
+<li><p><strong>mixed_state</strong> (<em>LxL np.array</em><em> of </em><em>floats</em>) – Mixed state matrix computed via the Hamiltonian using expm(-beta*H)</p></li>
+<li><p><strong>sensor_state</strong> – Cached information returned by precompute_sensor_state. All information therein are internal to the
+sensor simulator</p></li>
+<li><p><strong>beta</strong> (<em>float</em>) – scaled inverse temperature parameter</p></li>
+</ul>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="qdarts.tunneling_simulator.AbstractSensorSim.sample_sensor_equilibrium">
+<em class="property"><span class="pre">abstract</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">sample_sensor_equilibrium</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">v</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">H</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">mixed_state</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">sensor_state</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">beta</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#qdarts.tunneling_simulator.AbstractSensorSim.sample_sensor_equilibrium" title="Link to this definition">¶</a></dt>
+<dd><p>Computes a noisy average of the sensor response for a given mixed state.</p>
+<p>This is intended to simulate a long (>1mus) time integration of the sensor signal, thus
+we can assume that states are thermalized but the signal is still affected by noise.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>v</strong> (<em>np.array</em><em> of </em><em>floats</em>) – vector of K gate voltages defining the current system</p></li>
+<li><p><strong>H</strong> (<em>LxL np.array</em><em> of </em><em>floats</em>) – Hamiltonian of the system defined by v. Labels and basis are the same as in precompute_sensor_state</p></li>
+<li><p><strong>mixed_state</strong> (<em>LxL np.array</em><em> of </em><em>floats</em>) – Mixed state matrix computed via the Hamiltonian using expm(-beta*H)</p></li>
+<li><p><strong>sensor_state</strong> – Cached information returned by precompute_sensor_state. All information therein are internal to the
+sensor simulator</p></li>
+<li><p><strong>beta</strong> (<em>float</em>) – scaled inverse temperature parameter</p></li>
+</ul>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="qdarts.tunneling_simulator.AbstractSensorSim.slice">
+<em class="property"><span class="pre">abstract</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">slice</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">P</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">m</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#qdarts.tunneling_simulator.AbstractSensorSim.slice" title="Link to this definition">¶</a></dt>
+<dd><p>Takes an affine subspace of the simulated model.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="qdarts.tunneling_simulator.AbstractSensorSim.start_measurement">
+<em class="property"><span class="pre">abstract</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">start_measurement</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#qdarts.tunneling_simulator.AbstractSensorSim.start_measurement" title="Link to this definition">¶</a></dt>
+<dd><p>Reinitializes the sensor as to generate independent noise samples</p>
+</dd></dl>
+
+</dd></dl>
+
+</section>
+
+
+ </div>
+
+ </div>
+ </div>
+ <div class="sphinxsidebar" role="navigation" aria-label="main navigation">
+ <div class="sphinxsidebarwrapper">
+<h1 class="logo"><a href="../index.html">QDarts</a></h1>
+
+
+
+
+
+
+
+
+<h3>Navigation</h3>
+<ul class="current">
+<li class="toctree-l1"><a class="reference internal" href="../api_tutorial.html">API Usage Tutorial</a></li>
+<li class="toctree-l1 current"><a class="reference internal" href="../api.html">API</a></li>
+</ul>
+
+<div class="relations">
+<h3>Related Topics</h3>
+<ul>
+ <li><a href="../index.html">Documentation overview</a><ul>
+ <li><a href="../api.html">API</a><ul>
+ <li>Previous: <a href="qdarts.noise_processes.AbstractNoiseProcess.html" title="previous chapter">qdarts.noise_processes.AbstractNoiseProcess</a></li>
+ </ul></li>
+ </ul></li>
+</ul>
+</div>
+<search id="searchbox" style="display: none" role="search">
+ <h3 id="searchlabel">Quick search</h3>
+ <div class="searchformwrapper">
+ <form class="search" action="../search.html" method="get">
+ <input type="text" name="q" aria-labelledby="searchlabel" autocomplete="off" autocorrect="off" autocapitalize="off" spellcheck="false"/>
+ <input type="submit" value="Go" />
+ </form>
+ </div>
+</search>
+<script>document.getElementById('searchbox').style.display = "block"</script>
+
+
+
+
+
+
+
+
+ </div>
+ </div>
+ <div class="clearer"></div>
+ </div>
+ <div class="footer">
+ ©2024, Oswin Krause, Jan Krzywda, Weikun Liu, Evert van Nieuwenburg.
+
+ |
+ Powered by <a href="https://www.sphinx-doc.org/">Sphinx 7.3.7</a>
+ & <a href="https://alabaster.readthedocs.io">Alabaster 0.7.16</a>
+
+ |
+ <a href="../_sources/interfaces/qdarts.tunneling_simulator.AbstractSensorSim.rst.txt"
+ rel="nofollow">Page source</a>
+ </div>
+
+
+
+
+ </body>
+</html>
\ No newline at end of file
diff --git a/QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/docs/interfaces/qdarts.tunneling_simulator.ApproximateTunnelingSimulator.html b/QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/docs/interfaces/qdarts.tunneling_simulator.ApproximateTunnelingSimulator.html
new file mode 100644
index 0000000..9ba583d
--- /dev/null
+++ b/QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/docs/interfaces/qdarts.tunneling_simulator.ApproximateTunnelingSimulator.html
@@ -0,0 +1,352 @@
+<!DOCTYPE html>
+
+<html lang="en" data-content_root="../">
+ <head>
+ <meta charset="utf-8" />
+ <meta name="viewport" content="width=device-width, initial-scale=1.0" /><meta name="generator" content="Docutils 0.18.1: http://docutils.sourceforge.net/" />
+
+ <title>qdarts.tunneling_simulator.ApproximateTunnelingSimulator — QDarts documentation</title>
+ <link rel="stylesheet" type="text/css" href="../_static/pygments.css?v=61cd365c" />
+ <link rel="stylesheet" type="text/css" href="../_static/alabaster.css?v=12dfc556" />
+ <script src="../_static/documentation_options.js?v=5929fcd5"></script>
+ <script src="../_static/doctools.js?v=9a2dae69"></script>
+ <script src="../_static/sphinx_highlight.js?v=dc90522c"></script>
+ <script async="async" src="https://cdn.jsdelivr.net/npm/mathjax@3/es5/tex-mml-chtml.js"></script>
+ <link rel="index" title="Index" href="../genindex.html" />
+ <link rel="search" title="Search" href="../search.html" />
+ <link rel="next" title="qdarts.tunneling_simulator.TunnelBarrierModel" href="qdarts.tunneling_simulator.TunnelBarrierModel.html" />
+ <link rel="prev" title="qdarts.simulator.CapacitiveDeviceSimulator" href="qdarts.simulator.CapacitiveDeviceSimulator.html" />
+
+ <link rel="stylesheet" href="../_static/custom.css" type="text/css" />
+
+
+
+
+
+ </head><body>
+
+
+ <div class="document">
+ <div class="documentwrapper">
+ <div class="bodywrapper">
+
+
+ <div class="body" role="main">
+
+ <section id="qdarts-tunneling-simulator-approximatetunnelingsimulator">
+<h1>qdarts.tunneling_simulator.ApproximateTunnelingSimulator<a class="headerlink" href="#qdarts-tunneling-simulator-approximatetunnelingsimulator" title="Link to this heading">¶</a></h1>
+<dl class="py class">
+<dt class="sig sig-object py" id="qdarts.tunneling_simulator.ApproximateTunnelingSimulator">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">qdarts.tunneling_simulator.</span></span><span class="sig-name descname"><span class="pre">ApproximateTunnelingSimulator</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">polytope_sim</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">barrier_sim</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">T</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">sensor_sim</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#qdarts.tunneling_simulator.ApproximateTunnelingSimulator" title="Link to this definition">¶</a></dt>
+<dd><p>Simulator for approximate charge tunneling in a quantum dot device.</p>
+<p>The simulator extends the supplied capacitive simulation by creating a Hamiltionian H,
+where on the diagonals are the capacitive energies of the simualation, while the off-diagonals
+have added tunnel coupling parameters. Locally the hamiltonian is approximated via L basis states,
+where each state is an electron configurtion on the dots. This mixed state is then used to create a sensor simulation.</p>
+<p>It is possible to query the state of single hamiltonian, their mixed state and their sensor simulation via the class
+LocalSystem, returned by compute_local_system, but the primary use of tis class lies in its ability to compute
+1D or 2D sensor scans via sensor_scan and sensor_scan_2D.</p>
+<p>For computing the tunnel coupling parameters, this class can make use of an additional Tunnel barrier simulation, but it
+is also possible to just supply a NxN constant matrix of tunnel couplings between all D dots in the array.</p>
+<p>Finally, the class follows the interface of AbstractPolytopeSimulator, which means it is possible to directly query the information
+of the underlying polytopes of the simulation. This is there to unify slicing between simulators.</p>
+<p>Implementation details:</p>
+<p>The basis used for a gate voltage v is queried by finding its ground states n and then the facets of the
+ground state polytope P(n) create the basis. Thus, this basis becomes extended as the slack variable in the underlying
+capacitance simulation is increased. This is called the core state set.
+Additionally, the simulation allows to add additional states. For example, for most sensor simulations to work, we also need
+other higher energy states to compute correct conductance. These additional states can be added by modifying the vector
+num_additional_neighbours. if the ith element in this vector is R>0, and s is a state in the core basis, then
+the extended basis will also include the states <span class="math notranslate nohighlight">\(s+ke_i\)</span> where <span class="math notranslate nohighlight">\(|k|<=R\)</span> and <span class="math notranslate nohighlight">\(e_i\)</span> is the ith basis vector.</p>
+<p>The tunnel couplings T are included into the Hamiltonian the following way: let <span class="math notranslate nohighlight">\(s_i\)</span> and <span class="math notranslate nohighlight">\(s_j\)</span> be two states in the basis of the Hamiltonian
+that differ only in the value of the electron configuration at dots i and j.
+More exactly, we have that <span class="math notranslate nohighlight">\(s_i\)</span> and <span class="math notranslate nohighlight">\(s_j\)</span> are related by moving an electron from state <span class="math notranslate nohighlight">\(s_i\)</span> to <span class="math notranslate nohighlight">\(s_j\)</span> or vice versa.
+Let <span class="math notranslate nohighlight">\(H_{kl}\)</span> be the off-diagonal matrix element of those states. Then we have <span class="math notranslate nohighlight">\(H_{kl} = T_{ij}\)</span>.
+In all other cases, tunnel coupling is 0.</p>
+<p>The mixed state is then again computed approximately, for more info on that, see documentation of LocalSystem.</p>
+<p>The sensor signal of the computed mixed state is computed via the sensor_sim.</p>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="qdarts.tunneling_simulator.ApproximateTunnelingSimulator.beta">
+<span class="sig-name descname"><span class="pre">beta</span></span><a class="headerlink" href="#qdarts.tunneling_simulator.ApproximateTunnelingSimulator.beta" title="Link to this definition">¶</a></dt>
+<dd><p>Scaled inverse temperature 1/k_BT</p>
+<dl class="field-list simple">
+<dt class="field-odd">Type<span class="colon">:</span></dt>
+<dd class="field-odd"><p>float</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="qdarts.tunneling_simulator.ApproximateTunnelingSimulator.T">
+<span class="sig-name descname"><span class="pre">T</span></span><a class="headerlink" href="#qdarts.tunneling_simulator.ApproximateTunnelingSimulator.T" title="Link to this definition">¶</a></dt>
+<dd><p>Temperature</p>
+<dl class="field-list simple">
+<dt class="field-odd">Type<span class="colon">:</span></dt>
+<dd class="field-odd"><p>float</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="qdarts.tunneling_simulator.ApproximateTunnelingSimulator.poly_sim">
+<span class="sig-name descname"><span class="pre">poly_sim</span></span><a class="headerlink" href="#qdarts.tunneling_simulator.ApproximateTunnelingSimulator.poly_sim" title="Link to this definition">¶</a></dt>
+<dd><p>the capacitive simulation object</p>
+</dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="qdarts.tunneling_simulator.ApproximateTunnelingSimulator.barrier_sim">
+<span class="sig-name descname"><span class="pre">barrier_sim</span></span><a class="headerlink" href="#qdarts.tunneling_simulator.ApproximateTunnelingSimulator.barrier_sim" title="Link to this definition">¶</a></dt>
+<dd><p>the barrier simulation object. Note that even if the supplied object to init was a matrix, this will be a TunnelBarrierModel.</p>
+</dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="qdarts.tunneling_simulator.ApproximateTunnelingSimulator.sensor_sim">
+<span class="sig-name descname"><span class="pre">sensor_sim</span></span><a class="headerlink" href="#qdarts.tunneling_simulator.ApproximateTunnelingSimulator.sensor_sim" title="Link to this definition">¶</a></dt>
+<dd><p>the sensor simulation object</p>
+</dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="qdarts.tunneling_simulator.ApproximateTunnelingSimulator.num_additional_neighbours">
+<span class="sig-name descname"><span class="pre">num_additional_neighbours</span></span><a class="headerlink" href="#qdarts.tunneling_simulator.ApproximateTunnelingSimulator.num_additional_neighbours" title="Link to this definition">¶</a></dt>
+<dd><p>for each dot defines how many additional states should be added for each state in the core basis. This is done
+by adding or subtracting electrons on the ith element where the maximum is given by the ith element of num_additional_neighbours.
+We advise to set this to 2 for sensor dots. Note that computation time can quickly explode when increasing this parameter.
+Outside of sensor dots, we advise therefore to increase the slack in the capacitive simulation.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Type<span class="colon">:</span></dt>
+<dd class="field-odd"><p>np.array of ints</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="qdarts.tunneling_simulator.ApproximateTunnelingSimulator.__init__">
+<span class="sig-name descname"><span class="pre">__init__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">polytope_sim</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">barrier_sim</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">T</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">sensor_sim</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#qdarts.tunneling_simulator.ApproximateTunnelingSimulator.__init__" title="Link to this definition">¶</a></dt>
+<dd><p>Creates a tunneling simulation</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>polytope_sim</strong> – capacitance simulator object that computes ground state polytopes and capacitive energy differences</p></li>
+<li><p><strong>barrier_sim</strong> (<em>Object</em><em> or </em><em>Matrix</em>) – Either a DxD basis that describes a constant tunnel coupling between all D dots. Note that the diagonal of this matrix is zero.
+Alternatively an object with a method barrier_sim.get_tunnel_matrix(v) returning a DxD matrix, and which supports the slice operation.</p></li>
+<li><p><strong>T</strong> (<em>float</em>) – Temperature in Kelvin. Good values are < 0.1</p></li>
+<li><p><strong>sensor_sim</strong> (<em>Derived from AbstractSensorSim</em>) – A sensor simulation that follows the interface of AbstractSensorSim and which computes the sensor signal.</p></li>
+</ul>
+</dd>
+</dl>
+</dd></dl>
+
+<p class="rubric">Methods</p>
+<table class="autosummary longtable docutils align-default">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#qdarts.tunneling_simulator.ApproximateTunnelingSimulator.__init__" title="qdarts.tunneling_simulator.ApproximateTunnelingSimulator.__init__"><code class="xref py py-obj docutils literal notranslate"><span class="pre">__init__</span></code></a>(polytope_sim, barrier_sim, T, ...)</p></td>
+<td><p>Creates a tunneling simulation</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#qdarts.tunneling_simulator.ApproximateTunnelingSimulator.boundaries" title="qdarts.tunneling_simulator.ApproximateTunnelingSimulator.boundaries"><code class="xref py py-obj docutils literal notranslate"><span class="pre">boundaries</span></code></a>(state)</p></td>
+<td><p>Returns the polytope P(n) of a given state n with all its boundaries, labels and meta information.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#qdarts.tunneling_simulator.ApproximateTunnelingSimulator.compute_local_system" title="qdarts.tunneling_simulator.ApproximateTunnelingSimulator.compute_local_system"><code class="xref py py-obj docutils literal notranslate"><span class="pre">compute_local_system</span></code></a>(v, state[, ...])</p></td>
+<td><p>Computes a full description of the local quantum system and returns the LocalSystem object.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#qdarts.tunneling_simulator.ApproximateTunnelingSimulator.sensor_scan" title="qdarts.tunneling_simulator.ApproximateTunnelingSimulator.sensor_scan"><code class="xref py py-obj docutils literal notranslate"><span class="pre">sensor_scan</span></code></a>(v_start, v_end, resolution, ...)</p></td>
+<td><p>Computes a 1D sensor ramp scan.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#qdarts.tunneling_simulator.ApproximateTunnelingSimulator.sensor_scan_2D" title="qdarts.tunneling_simulator.ApproximateTunnelingSimulator.sensor_scan_2D"><code class="xref py py-obj docutils literal notranslate"><span class="pre">sensor_scan_2D</span></code></a>(P, m, minV, maxV, resolution, ...)</p></td>
+<td><p>Computes the sensor signal on a 2D grid of points.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#qdarts.tunneling_simulator.ApproximateTunnelingSimulator.slice" title="qdarts.tunneling_simulator.ApproximateTunnelingSimulator.slice"><code class="xref py py-obj docutils literal notranslate"><span class="pre">slice</span></code></a>(P, m[, proxy])</p></td>
+<td><p>Restricts the simulator to the affine subspace v=m+Pv'</p></td>
+</tr>
+</tbody>
+</table>
+<dl class="py method">
+<dt class="sig sig-object py" id="qdarts.tunneling_simulator.ApproximateTunnelingSimulator.boundaries">
+<span class="sig-name descname"><span class="pre">boundaries</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">state</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#qdarts.tunneling_simulator.ApproximateTunnelingSimulator.boundaries" title="Link to this definition">¶</a></dt>
+<dd><p>Returns the polytope P(n) of a given state n with all its boundaries, labels and meta information.</p>
+<p>If the polytope is not cached, it needs to be computed. This can take some time for large devices.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>state</strong> (<em>list</em><em> of </em><em>ints</em>) – The state n for which to compute the polytope P(n)</p>
+</dd>
+<dt class="field-even">Return type<span class="colon">:</span></dt>
+<dd class="field-even"><p>The polytope P(n)</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="qdarts.tunneling_simulator.ApproximateTunnelingSimulator.compute_local_system">
+<span class="sig-name descname"><span class="pre">compute_local_system</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">v</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">state</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">search_ground_state</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#qdarts.tunneling_simulator.ApproximateTunnelingSimulator.compute_local_system" title="Link to this definition">¶</a></dt>
+<dd><p>Computes a full description of the local quantum system and returns the LocalSystem object.</p>
+<p>This is a full locla simulation of the device and can be used to query sensor values but also the mixed state matrix.
+See LocalSystem for more info.</p>
+<p>Note that unlike in most other places, v does not need to belong to the ground state polytope of state.
+This might be useful for the computation of signals in which the device is far out of equilibrium.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>v</strong> (<em>np.array</em><em> of </em><em>floats</em>) – The vector of gate voltages of the device</p></li>
+<li><p><strong>state</strong> (<em>np.array</em><em> of </em><em>ints</em>) – The ground state polytope relative to which the local system is computed. This is in most cases the ground state.</p></li>
+<li><p><strong>search_ground_state</strong> (<em>bool</em>) – If True, verifies that state is the ground state of v and searches it otherwise. If you know that this is the case,
+you can safely set it to False for a speed-up. In the general case, setting this to false will compute the
+LocalSystem relative to a different basis state.</p></li>
+</ul>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="qdarts.tunneling_simulator.ApproximateTunnelingSimulator.sensor_scan">
+<span class="sig-name descname"><span class="pre">sensor_scan</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">v_start</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">v_end</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">resolution</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">v_start_state_hint</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">cache</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">start_new_measurement</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#qdarts.tunneling_simulator.ApproximateTunnelingSimulator.sensor_scan" title="Link to this definition">¶</a></dt>
+<dd><p>Computes a 1D sensor ramp scan.</p>
+<p>Computes a linear set of points between v_start and v_end and for each point computes the sensor signal.
+To be more exact, for each point, the ground state polytope is computed which is then used to define the local_system.
+Returns the sensor signal for each sensor and dot</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>v_start</strong> (<em>np.array</em><em> of </em><em>floats</em>) – Vector of gate voltages of the device describing the first measurement point</p></li>
+<li><p><strong>v_end</strong> (<em>np.array</em><em> of </em><em>floats</em>) – Vector of gate voltages of the device describing the last measurement point</p></li>
+<li><p><strong>resolution</strong> (<em>int</em>) – number of measured points on the linear scan between v_start and v_end, including both end points.</p></li>
+<li><p><strong>v_start_state_hint</strong> (<em>np.array</em><em> of </em><em>int</em>) – Guess for the state n for which holds that v_start is element of P(n). The simulator will use this
+guess as a starting point for the search of the correct state if this guess is wrong. Note that P(n)
+must intersect with the affine slice, if slicing was used.</p></li>
+<li><p><strong>cache</strong> (<em>bool</em>) – Whether the simulation should try to cache the computed polytopes. This might lead to a slower computation time
+for a scan compared to not using caching, but consecutive scans with similar ranges tend to be quicker.</p></li>
+<li><p><strong>start_new_measurement</strong> (<em>bool</em>) – Whether the seimulated sensor measurement should be independent of any previous measurements.</p></li>
+</ul>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="qdarts.tunneling_simulator.ApproximateTunnelingSimulator.sensor_scan_2D">
+<span class="sig-name descname"><span class="pre">sensor_scan_2D</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">P</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">m</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">minV</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">maxV</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">resolution</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">state_hint_lower_left</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">cache</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#qdarts.tunneling_simulator.ApproximateTunnelingSimulator.sensor_scan_2D" title="Link to this definition">¶</a></dt>
+<dd><p>Computes the sensor signal on a 2D grid of points.</p>
+<p>For the exact computation of points, see sensor_scan.</p>
+<p>The grid is defined the following way: Let w_ij be a 2D vector that is part of a regular
+rectangular grid spanned by the lower left corner given by minV and the upper right corner given
+by maxV and let (m,n) be the number of points in both grid directions. We have that w_00=minV and w_m-1,n-1=maxV.</p>
+<p>This grid is then affinely transformed into the K-dimensional space of gate vectors via
+v_ij = m+ P w_ij</p>
+<p>and thus P must be a Kx2 matrix and m a K-vector.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>P</strong> (<em>Kx2 np.array</em><em> of </em><em>floats</em>) – linear transformation of grid-points into the K-dimensional voltage space</p></li>
+<li><p><strong>m</strong> (<em>np.array</em><em> of </em><em>floats:</em>) – affine offset of the grid</p></li>
+<li><p><strong>minV</strong> (<em>np.array</em><em> of </em><em>floats</em>) – 2D vector describing the minimum value of the grid points</p></li>
+<li><p><strong>maxV</strong> (<em>np.array</em><em> of </em><em>floats</em>) – 2D vector describing the maximum value of the grid points</p></li>
+<li><p><strong>resolution</strong> (<em>int</em><em> or </em><em>list</em><em> of </em><em>ints</em>) – if integer, describes the same number of points in both grid directions. If a list of 2 elements,
+describes the number of points along each axes of the grid.</p></li>
+<li><p><strong>state_hint_lower_left</strong> (<em>np.array</em><em> of </em><em>int</em>) – Guess for the state n for point described by the grid position minV. The simulator will use this
+guess as a starting point for the search of the correct state if this guess is wrong. Note that P(n)
+must intersect with the affine slice, if slicing was used.</p></li>
+<li><p><strong>cache</strong> (<em>bool</em>) – Whether the simulation should try to cache the computed polytopes. This might lead to a slower computation time
+for a scan compared to not using caching, but consecutive scans with similar ranges tend to be quicker.</p></li>
+</ul>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="qdarts.tunneling_simulator.ApproximateTunnelingSimulator.slice">
+<span class="sig-name descname"><span class="pre">slice</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">P</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">m</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">proxy</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#qdarts.tunneling_simulator.ApproximateTunnelingSimulator.slice" title="Link to this definition">¶</a></dt>
+<dd><p>Restricts the simulator to the affine subspace v=m+Pv’</p>
+<p>Computes the slice through the simulated device by setting v=m+Pv’, where v is the plunger gate voltages of the
+original device and v’ is the new coordinate system. This is implemented here by slicing all the different parts
+of the simulation, capacitance model, barrier model and sensor model.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>P</strong> (<em>MxK np.array</em><em> of </em><em>floats</em>) – The linear coefficient matrix. Here M is the number of voltage elements in v in the full simulation
+and K the dimensionality of the subspace.</p></li>
+<li><p><strong>m</strong> (<em>offset</em><em> of </em><em>the affine trnsformation.</em>)</p></li>
+<li><p><strong>proxy</strong> (<em>bool</em>) – Whether a proxy is returned. A proxy shares the cache, if possible. This is the case when P is invertible,
+especially this entails M=K. If cache sharing is possible, the simulation computes the original polytope and then
+applies the affine transformation. This can reduce run time a lot if several slices need to be computed for the
+same simulation.</p></li>
+</ul>
+</dd>
+<dt class="field-even">Return type<span class="colon">:</span></dt>
+<dd class="field-even"><p>A simulator object describing the simulation on the affine subspace. The current simulation object remains unchanged.</p>
+</dd>
+</dl>
+</dd></dl>
+
+</dd></dl>
+
+</section>
+
+
+ </div>
+
+ </div>
+ </div>
+ <div class="sphinxsidebar" role="navigation" aria-label="main navigation">
+ <div class="sphinxsidebarwrapper">
+<h1 class="logo"><a href="../index.html">QDarts</a></h1>
+
+
+
+
+
+
+
+
+<h3>Navigation</h3>
+<ul class="current">
+<li class="toctree-l1"><a class="reference internal" href="../api_tutorial.html">API Usage Tutorial</a></li>
+<li class="toctree-l1 current"><a class="reference internal" href="../api.html">API</a></li>
+</ul>
+
+<div class="relations">
+<h3>Related Topics</h3>
+<ul>
+ <li><a href="../index.html">Documentation overview</a><ul>
+ <li><a href="../api.html">API</a><ul>
+ <li>Previous: <a href="qdarts.simulator.CapacitiveDeviceSimulator.html" title="previous chapter">qdarts.simulator.CapacitiveDeviceSimulator</a></li>
+ <li>Next: <a href="qdarts.tunneling_simulator.TunnelBarrierModel.html" title="next chapter">qdarts.tunneling_simulator.TunnelBarrierModel</a></li>
+ </ul></li>
+ </ul></li>
+</ul>
+</div>
+<search id="searchbox" style="display: none" role="search">
+ <h3 id="searchlabel">Quick search</h3>
+ <div class="searchformwrapper">
+ <form class="search" action="../search.html" method="get">
+ <input type="text" name="q" aria-labelledby="searchlabel" autocomplete="off" autocorrect="off" autocapitalize="off" spellcheck="false"/>
+ <input type="submit" value="Go" />
+ </form>
+ </div>
+</search>
+<script>document.getElementById('searchbox').style.display = "block"</script>
+
+
+
+
+
+
+
+
+ </div>
+ </div>
+ <div class="clearer"></div>
+ </div>
+ <div class="footer">
+ ©2024, Oswin Krause, Jan Krzywda, Weikun Liu, Evert van Nieuwenburg.
+
+ |
+ Powered by <a href="https://www.sphinx-doc.org/">Sphinx 7.3.7</a>
+ & <a href="https://alabaster.readthedocs.io">Alabaster 0.7.16</a>
+
+ |
+ <a href="../_sources/interfaces/qdarts.tunneling_simulator.ApproximateTunnelingSimulator.rst.txt"
+ rel="nofollow">Page source</a>
+ </div>
+
+
+
+
+ </body>
+</html>
\ No newline at end of file
diff --git a/QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/docs/interfaces/qdarts.tunneling_simulator.LocalSystem.html b/QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/docs/interfaces/qdarts.tunneling_simulator.LocalSystem.html
new file mode 100644
index 0000000..ebb5648
--- /dev/null
+++ b/QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/docs/interfaces/qdarts.tunneling_simulator.LocalSystem.html
@@ -0,0 +1,267 @@
+<!DOCTYPE html>
+
+<html lang="en" data-content_root="../">
+ <head>
+ <meta charset="utf-8" />
+ <meta name="viewport" content="width=device-width, initial-scale=1.0" /><meta name="generator" content="Docutils 0.18.1: http://docutils.sourceforge.net/" />
+
+ <title>qdarts.tunneling_simulator.LocalSystem — QDarts documentation</title>
+ <link rel="stylesheet" type="text/css" href="../_static/pygments.css?v=61cd365c" />
+ <link rel="stylesheet" type="text/css" href="../_static/alabaster.css?v=12dfc556" />
+ <script src="../_static/documentation_options.js?v=5929fcd5"></script>
+ <script src="../_static/doctools.js?v=9a2dae69"></script>
+ <script src="../_static/sphinx_highlight.js?v=dc90522c"></script>
+ <link rel="index" title="Index" href="../genindex.html" />
+ <link rel="search" title="Search" href="../search.html" />
+ <link rel="next" title="qdarts.polytope.Polytope" href="qdarts.polytope.Polytope.html" />
+ <link rel="prev" title="qdarts.noise_processes.Cosine_Mean_Function" href="qdarts.noise_processes.Cosine_Mean_Function.html" />
+
+ <link rel="stylesheet" href="../_static/custom.css" type="text/css" />
+
+
+
+
+
+ </head><body>
+
+
+ <div class="document">
+ <div class="documentwrapper">
+ <div class="bodywrapper">
+
+
+ <div class="body" role="main">
+
+ <section id="qdarts-tunneling-simulator-localsystem">
+<h1>qdarts.tunneling_simulator.LocalSystem<a class="headerlink" href="#qdarts-tunneling-simulator-localsystem" title="Link to this heading">¶</a></h1>
+<dl class="py class">
+<dt class="sig sig-object py" id="qdarts.tunneling_simulator.LocalSystem">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">qdarts.tunneling_simulator.</span></span><span class="sig-name descname"><span class="pre">LocalSystem</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">v</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">H</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">state</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">sim</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#qdarts.tunneling_simulator.LocalSystem" title="Link to this definition">¶</a></dt>
+<dd><p>Class describing a quantum system defined by the gate voltages of a simulated device.</p>
+<p>For a given set of gate voltages, the simulator first computes a set of core states that are most
+likely relevant for the computation of the hamiltonian and then extends it by adding additional
+states. These are then used to define a basis of the vector space for the Hamiltonian, which
+is then used to compute the mixed state. Finally, the mixed state is then used to simulate a sensor signal.</p>
+<p>This class stores all this information and includes some minimal tools to query information on
+different sub-bases. This class is tightly coupled to tunneling_simulator.</p>
+<dl class="py attribute">
+<dt class="sig sig-object py" id="qdarts.tunneling_simulator.LocalSystem.v">
+<span class="sig-name descname"><span class="pre">v</span></span><a class="headerlink" href="#qdarts.tunneling_simulator.LocalSystem.v" title="Link to this definition">¶</a></dt>
+<dd><p>gate voltages that define the parameters of this system</p>
+<dl class="field-list simple">
+<dt class="field-odd">Type<span class="colon">:</span></dt>
+<dd class="field-odd"><p>np.array of floats</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="qdarts.tunneling_simulator.LocalSystem.state">
+<span class="sig-name descname"><span class="pre">state</span></span><a class="headerlink" href="#qdarts.tunneling_simulator.LocalSystem.state" title="Link to this definition">¶</a></dt>
+<dd><p>the ground state configuration of v</p>
+<dl class="field-list simple">
+<dt class="field-odd">Type<span class="colon">:</span></dt>
+<dd class="field-odd"><p>np.array of ints</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="qdarts.tunneling_simulator.LocalSystem.beta">
+<span class="sig-name descname"><span class="pre">beta</span></span><a class="headerlink" href="#qdarts.tunneling_simulator.LocalSystem.beta" title="Link to this definition">¶</a></dt>
+<dd><p>the scaled inverse temperature 1/k_bT</p>
+<dl class="field-list simple">
+<dt class="field-odd">Type<span class="colon">:</span></dt>
+<dd class="field-odd"><p>float</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py attribute">
+<dt class="sig sig-object py" id="qdarts.tunneling_simulator.LocalSystem.H">
+<span class="sig-name descname"><span class="pre">H</span></span><a class="headerlink" href="#qdarts.tunneling_simulator.LocalSystem.H" title="Link to this definition">¶</a></dt>
+<dd><p>Hamiltonian over the subspace spanned by the L basis state of the extended basis.
+See methods basis_labels and core_basis_indices</p>
+<dl class="field-list simple">
+<dt class="field-odd">Type<span class="colon">:</span></dt>
+<dd class="field-odd"><p>LxL np.array of floats</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="qdarts.tunneling_simulator.LocalSystem.__init__">
+<span class="sig-name descname"><span class="pre">__init__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">v</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">H</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">state</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">sim</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#qdarts.tunneling_simulator.LocalSystem.__init__" title="Link to this definition">¶</a></dt>
+<dd><p>Creates the LocalSystem.</p>
+<p>This is an internal function used by the tunneling simulator.</p>
+</dd></dl>
+
+<p class="rubric">Methods</p>
+<table class="autosummary longtable docutils align-default">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#qdarts.tunneling_simulator.LocalSystem.__init__" title="qdarts.tunneling_simulator.LocalSystem.__init__"><code class="xref py py-obj docutils literal notranslate"><span class="pre">__init__</span></code></a>(v, H, state, sim)</p></td>
+<td><p>Creates the LocalSystem.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#qdarts.tunneling_simulator.LocalSystem.compute_mixed_state_of_subset" title="qdarts.tunneling_simulator.LocalSystem.compute_mixed_state_of_subset"><code class="xref py py-obj docutils literal notranslate"><span class="pre">compute_mixed_state_of_subset</span></code></a>(subset_indices)</p></td>
+<td><p>Computes the mixed state for a subset, ignoring the existance of any other state entirely.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#qdarts.tunneling_simulator.LocalSystem.sample_sensor_configuration" title="qdarts.tunneling_simulator.LocalSystem.sample_sensor_configuration"><code class="xref py py-obj docutils literal notranslate"><span class="pre">sample_sensor_configuration</span></code></a>(...)</p></td>
+<td><p>Samples the sensor signal for a given sampled electron configuration.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#qdarts.tunneling_simulator.LocalSystem.sample_sensor_equilibrium" title="qdarts.tunneling_simulator.LocalSystem.sample_sensor_equilibrium"><code class="xref py py-obj docutils literal notranslate"><span class="pre">sample_sensor_equilibrium</span></code></a>()</p></td>
+<td><p>Samples a boisy averaged sensor response from the current system over all basis elements.</p></td>
+</tr>
+</tbody>
+</table>
+<p class="rubric">Attributes</p>
+<table class="autosummary longtable docutils align-default">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#qdarts.tunneling_simulator.LocalSystem.basis_labels" title="qdarts.tunneling_simulator.LocalSystem.basis_labels"><code class="xref py py-obj docutils literal notranslate"><span class="pre">basis_labels</span></code></a></p></td>
+<td><p>The labels of the basis elements, indentified by their ground state electron configuration</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#qdarts.tunneling_simulator.LocalSystem.core_basis_indices" title="qdarts.tunneling_simulator.LocalSystem.core_basis_indices"><code class="xref py py-obj docutils literal notranslate"><span class="pre">core_basis_indices</span></code></a></p></td>
+<td><p>Indices into basis_labels that define the subset of core basis elements.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#qdarts.tunneling_simulator.LocalSystem.mixed_state" title="qdarts.tunneling_simulator.LocalSystem.mixed_state"><code class="xref py py-obj docutils literal notranslate"><span class="pre">mixed_state</span></code></a></p></td>
+<td><p>Computes an approximate mixed state matrix over the full basis.</p></td>
+</tr>
+</tbody>
+</table>
+<dl class="py property">
+<dt class="sig sig-object py" id="qdarts.tunneling_simulator.LocalSystem.basis_labels">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">basis_labels</span></span><a class="headerlink" href="#qdarts.tunneling_simulator.LocalSystem.basis_labels" title="Link to this definition">¶</a></dt>
+<dd><p>The labels of the basis elements, indentified by their ground state electron configuration</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="qdarts.tunneling_simulator.LocalSystem.compute_mixed_state_of_subset">
+<span class="sig-name descname"><span class="pre">compute_mixed_state_of_subset</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">subset_indices</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#qdarts.tunneling_simulator.LocalSystem.compute_mixed_state_of_subset" title="Link to this definition">¶</a></dt>
+<dd><p>Computes the mixed state for a subset, ignoring the existance of any other state entirely.</p>
+<p>The result is a KxK matrix where K is the length of subset_indices.
+This function is not equivalent to selecting a subset of mixed_state, since this assumes that
+the states not referenced by subset_indices are ruled out for some other reason, i.e., they are
+assigned probability 0 and probabilities are renormalized to sum to 1 over the elements in the subset.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>subset_indices</strong> (<em>np.array</em><em> of </em><em>ints</em>) – The L’ indices into the basis element matrix as returned by basis_labels</p></li>
+<li><p><strong>m</strong> (<em>np.array</em><em> of </em><em>floats</em><em> or </em><em>None</em>)</p></li>
+</ul>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="qdarts.tunneling_simulator.LocalSystem.core_basis_indices">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">core_basis_indices</span></span><a class="headerlink" href="#qdarts.tunneling_simulator.LocalSystem.core_basis_indices" title="Link to this definition">¶</a></dt>
+<dd><p>Indices into basis_labels that define the subset of core basis elements.</p>
+</dd></dl>
+
+<dl class="py property">
+<dt class="sig sig-object py" id="qdarts.tunneling_simulator.LocalSystem.mixed_state">
+<em class="property"><span class="pre">property</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">mixed_state</span></span><a class="headerlink" href="#qdarts.tunneling_simulator.LocalSystem.mixed_state" title="Link to this definition">¶</a></dt>
+<dd><p>Computes an approximate mixed state matrix over the full basis.</p>
+<p>the mixed state matrix, defined as expm(-beta*H)</p>
+<p>Note that this function approximated the true mixed state matrix by inly taking basis eleemnts into account
+that have a small energy difference to the ground state. This is a multiple of the polytope slack used by the
+capacitive simulation.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="qdarts.tunneling_simulator.LocalSystem.sample_sensor_configuration">
+<span class="sig-name descname"><span class="pre">sample_sensor_configuration</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">sampled_configuration</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#qdarts.tunneling_simulator.LocalSystem.sample_sensor_configuration" title="Link to this definition">¶</a></dt>
+<dd><p>Samples the sensor signal for a given sampled electron configuration.</p>
+<p>For a short time simulation it is more prudent to externally sample a state from the basis and then generate a sensor signal
+from it. This function allows this. Note that only selecting states from the set of core_basis_indices is safe as otherwise
+the sensor might miss information required to correctly compute the response.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>sampled_configuration</strong> (<em>list</em><em> of </em><em>ints</em>) – the sampled state for which to generate the sensor response.</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="qdarts.tunneling_simulator.LocalSystem.sample_sensor_equilibrium">
+<span class="sig-name descname"><span class="pre">sample_sensor_equilibrium</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#qdarts.tunneling_simulator.LocalSystem.sample_sensor_equilibrium" title="Link to this definition">¶</a></dt>
+<dd><p>Samples a boisy averaged sensor response from the current system over all basis elements.</p>
+<p>This returns the average signal with added sensor noise. This is an approximation to long
+average measurements at a single point.</p>
+</dd></dl>
+
+</dd></dl>
+
+</section>
+
+
+ </div>
+
+ </div>
+ </div>
+ <div class="sphinxsidebar" role="navigation" aria-label="main navigation">
+ <div class="sphinxsidebarwrapper">
+<h1 class="logo"><a href="../index.html">QDarts</a></h1>
+
+
+
+
+
+
+
+
+<h3>Navigation</h3>
+<ul class="current">
+<li class="toctree-l1"><a class="reference internal" href="../api_tutorial.html">API Usage Tutorial</a></li>
+<li class="toctree-l1 current"><a class="reference internal" href="../api.html">API</a></li>
+</ul>
+
+<div class="relations">
+<h3>Related Topics</h3>
+<ul>
+ <li><a href="../index.html">Documentation overview</a><ul>
+ <li><a href="../api.html">API</a><ul>
+ <li>Previous: <a href="qdarts.noise_processes.Cosine_Mean_Function.html" title="previous chapter">qdarts.noise_processes.Cosine_Mean_Function</a></li>
+ <li>Next: <a href="qdarts.polytope.Polytope.html" title="next chapter">qdarts.polytope.Polytope</a></li>
+ </ul></li>
+ </ul></li>
+</ul>
+</div>
+<search id="searchbox" style="display: none" role="search">
+ <h3 id="searchlabel">Quick search</h3>
+ <div class="searchformwrapper">
+ <form class="search" action="../search.html" method="get">
+ <input type="text" name="q" aria-labelledby="searchlabel" autocomplete="off" autocorrect="off" autocapitalize="off" spellcheck="false"/>
+ <input type="submit" value="Go" />
+ </form>
+ </div>
+</search>
+<script>document.getElementById('searchbox').style.display = "block"</script>
+
+
+
+
+
+
+
+
+ </div>
+ </div>
+ <div class="clearer"></div>
+ </div>
+ <div class="footer">
+ ©2024, Oswin Krause, Jan Krzywda, Weikun Liu, Evert van Nieuwenburg.
+
+ |
+ Powered by <a href="https://www.sphinx-doc.org/">Sphinx 7.3.7</a>
+ & <a href="https://alabaster.readthedocs.io">Alabaster 0.7.16</a>
+
+ |
+ <a href="../_sources/interfaces/qdarts.tunneling_simulator.LocalSystem.rst.txt"
+ rel="nofollow">Page source</a>
+ </div>
+
+
+
+
+ </body>
+</html>
\ No newline at end of file
diff --git a/QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/docs/interfaces/qdarts.tunneling_simulator.NoisySensorDot.html b/QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/docs/interfaces/qdarts.tunneling_simulator.NoisySensorDot.html
new file mode 100644
index 0000000..172324b
--- /dev/null
+++ b/QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/docs/interfaces/qdarts.tunneling_simulator.NoisySensorDot.html
@@ -0,0 +1,252 @@
+<!DOCTYPE html>
+
+<html lang="en" data-content_root="../">
+ <head>
+ <meta charset="utf-8" />
+ <meta name="viewport" content="width=device-width, initial-scale=1.0" /><meta name="generator" content="Docutils 0.18.1: http://docutils.sourceforge.net/" />
+
+ <title>qdarts.tunneling_simulator.NoisySensorDot — QDarts documentation</title>
+ <link rel="stylesheet" type="text/css" href="../_static/pygments.css?v=61cd365c" />
+ <link rel="stylesheet" type="text/css" href="../_static/alabaster.css?v=12dfc556" />
+ <script src="../_static/documentation_options.js?v=5929fcd5"></script>
+ <script src="../_static/doctools.js?v=9a2dae69"></script>
+ <script src="../_static/sphinx_highlight.js?v=dc90522c"></script>
+ <link rel="index" title="Index" href="../genindex.html" />
+ <link rel="search" title="Search" href="../search.html" />
+ <link rel="next" title="qdarts.noise_processes.OU_process" href="qdarts.noise_processes.OU_process.html" />
+ <link rel="prev" title="qdarts.tunneling_simulator.TunnelBarrierModel" href="qdarts.tunneling_simulator.TunnelBarrierModel.html" />
+
+ <link rel="stylesheet" href="../_static/custom.css" type="text/css" />
+
+
+
+
+
+ </head><body>
+
+
+ <div class="document">
+ <div class="documentwrapper">
+ <div class="bodywrapper">
+
+
+ <div class="body" role="main">
+
+ <section id="qdarts-tunneling-simulator-noisysensordot">
+<h1>qdarts.tunneling_simulator.NoisySensorDot<a class="headerlink" href="#qdarts-tunneling-simulator-noisysensordot" title="Link to this heading">¶</a></h1>
+<dl class="py class">
+<dt class="sig sig-object py" id="qdarts.tunneling_simulator.NoisySensorDot">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">qdarts.tunneling_simulator.</span></span><span class="sig-name descname"><span class="pre">NoisySensorDot</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">sensor_dot_ids</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#qdarts.tunneling_simulator.NoisySensorDot" title="Link to this definition">¶</a></dt>
+<dd><p>Simulates a sensor signal by computing the conductance of the sensor dots.</p>
+<p>This class implements the interface of AbstractSensorSim and for most points, the
+documentation there should be referred to. This simulation combines a simple
+estimation of the conductance g with two noise sources. A fast noise source
+that simulates gaussian white noise that is drawn for each query of the sensor response
+and a slow noise source that models time dependent noise between different invocations
+of the sensor.</p>
+<p>The shape of the simulated sensor peak can be configured ´via config_peak, in which
+height and with of the peak can be adapted. Currently, all sensor dots share these
+parameters.</p>
+<p>The noise can be configured via config_noise. The noise is modeled as an additive
+noise on the sensor peak position in voltage space. Thus, at peaks or valleys, the noise
+is small while on the sides of the peak, where the derivatives are largest, the noise will
+affect measurements the most. Additional signal noise is then modeled by adding white gaussian noise.</p>
+<dl class="py method">
+<dt class="sig sig-object py" id="qdarts.tunneling_simulator.NoisySensorDot.__init__">
+<span class="sig-name descname"><span class="pre">__init__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">sensor_dot_ids</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#qdarts.tunneling_simulator.NoisySensorDot.__init__" title="Link to this definition">¶</a></dt>
+<dd><p>Initialized a sensor configuration with num_sensors sensor dots</p>
+</dd></dl>
+
+<p class="rubric">Methods</p>
+<table class="autosummary longtable docutils align-default">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#qdarts.tunneling_simulator.NoisySensorDot.__init__" title="qdarts.tunneling_simulator.NoisySensorDot.__init__"><code class="xref py py-obj docutils literal notranslate"><span class="pre">__init__</span></code></a>(sensor_dot_ids)</p></td>
+<td><p>Initialized a sensor configuration with num_sensors sensor dots</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#qdarts.tunneling_simulator.NoisySensorDot.config_noise" title="qdarts.tunneling_simulator.NoisySensorDot.config_noise"><code class="xref py py-obj docutils literal notranslate"><span class="pre">config_noise</span></code></a>(sigma, signal_noise_scale[, ...])</p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#qdarts.tunneling_simulator.NoisySensorDot.config_peak" title="qdarts.tunneling_simulator.NoisySensorDot.config_peak"><code class="xref py py-obj docutils literal notranslate"><span class="pre">config_peak</span></code></a>(g_max, peak_width_multiplier)</p></td>
+<td><p></p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#qdarts.tunneling_simulator.NoisySensorDot.precompute_sensor_state" title="qdarts.tunneling_simulator.NoisySensorDot.precompute_sensor_state"><code class="xref py py-obj docutils literal notranslate"><span class="pre">precompute_sensor_state</span></code></a>(state, A, b, labels)</p></td>
+<td><p>Allows the sensor to precompute internal information that is valid for a whole ground state polytope.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#qdarts.tunneling_simulator.NoisySensorDot.sample_sensor_configuration" title="qdarts.tunneling_simulator.NoisySensorDot.sample_sensor_configuration"><code class="xref py py-obj docutils literal notranslate"><span class="pre">sample_sensor_configuration</span></code></a>(...)</p></td>
+<td><p>samples a sensor response for a given sampled elecron configuration</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#qdarts.tunneling_simulator.NoisySensorDot.sample_sensor_equilibrium" title="qdarts.tunneling_simulator.NoisySensorDot.sample_sensor_equilibrium"><code class="xref py py-obj docutils literal notranslate"><span class="pre">sample_sensor_equilibrium</span></code></a>(v, H, mixed_state, ...)</p></td>
+<td><p>Computes a noisy average of the sensor response for a given mixed state.</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#qdarts.tunneling_simulator.NoisySensorDot.slice" title="qdarts.tunneling_simulator.NoisySensorDot.slice"><code class="xref py py-obj docutils literal notranslate"><span class="pre">slice</span></code></a>(P, m)</p></td>
+<td><p>Takes an affine subspace of the simulated model.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#qdarts.tunneling_simulator.NoisySensorDot.start_measurement" title="qdarts.tunneling_simulator.NoisySensorDot.start_measurement"><code class="xref py py-obj docutils literal notranslate"><span class="pre">start_measurement</span></code></a>()</p></td>
+<td><p>Reinitializes the sensor as to generate independent noise samples</p></td>
+</tr>
+</tbody>
+</table>
+<dl class="py method">
+<dt class="sig sig-object py" id="qdarts.tunneling_simulator.NoisySensorDot.config_noise">
+<span class="sig-name descname"><span class="pre">config_noise</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">sigma</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">signal_noise_scale</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">slow_noise_gen</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#qdarts.tunneling_simulator.NoisySensorDot.config_noise" title="Link to this definition">¶</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="qdarts.tunneling_simulator.NoisySensorDot.config_peak">
+<span class="sig-name descname"><span class="pre">config_peak</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">g_max</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">peak_width_multiplier</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#qdarts.tunneling_simulator.NoisySensorDot.config_peak" title="Link to this definition">¶</a></dt>
+<dd></dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="qdarts.tunneling_simulator.NoisySensorDot.precompute_sensor_state">
+<span class="sig-name descname"><span class="pre">precompute_sensor_state</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">state</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">A</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">b</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">labels</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#qdarts.tunneling_simulator.NoisySensorDot.precompute_sensor_state" title="Link to this definition">¶</a></dt>
+<dd><p>Allows the sensor to precompute internal information that is valid for a whole ground state polytope.</p>
+<p>This allows the sensor to precompute and cache information that is valid for all voltages v that are inside a
+ground state polytope P. The returned values are cached in the polytope objects of the simulator and
+supplied as sensor_state argument during a call of sample_sensor_equilibrium and sample_sensor_configuration.
+The supplied information provides all information of the basis labels considered by the simulation for P(n),
+and the linear functions defining the facets of P(n) Av+b. Note that as everywhere else, these linear functions define
+energy differences for each considered basis label to the ground state.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>state</strong> (<em>np.array</em><em> of </em><em>ints</em>) – the state of N dots, identifying the ground state polytope for which to generate the sensor state information</p></li>
+<li><p><strong>A</strong> (<em>LxK np.array</em><em> of </em><em>floats</em>) – LxK linear parameters of the energy difference function for the K sensor gates</p></li>
+<li><p><strong>b</strong> (<em>np.array</em><em> of </em><em>floats</em>) – The affine offsets of the energy difference function for the L basis states</p></li>
+<li><p><strong>basis_labels</strong> (<em>LxN np.array</em><em> of </em><em>ints</em>) – The labels of the L basis states</p></li>
+</ul>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="qdarts.tunneling_simulator.NoisySensorDot.sample_sensor_configuration">
+<span class="sig-name descname"><span class="pre">sample_sensor_configuration</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">sampled_configuration</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">v</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">H</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">mixed_state</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">sensor_state</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">beta</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#qdarts.tunneling_simulator.NoisySensorDot.sample_sensor_configuration" title="Link to this definition">¶</a></dt>
+<dd><p>samples a sensor response for a given sampled elecron configuration</p>
+<p>This is intended to simulate a short (<<1mus) time integration of the sensor signal,
+where we can not assume that electrons transitions during the measurement. In this case,
+the user supplied the relevant configuration and the sensor returns a sampled signal for this configuration.
+Care should be taken that the configuration sampled has all information needed in the base to compute the sensor
+signal, e.g., there should be a state with one more or less electrons on each sensor dot.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>sampled_configuration</strong> (<em>np.array</em><em> of </em><em>ints</em>) – vector of N elements describing the sampled electron configuration.</p></li>
+<li><p><strong>v</strong> (<em>np.array</em><em> of </em><em>floats</em>) – vector of K gate voltages defining the current system</p></li>
+<li><p><strong>H</strong> (<em>LxL np.array</em><em> of </em><em>floats</em>) – Hamiltonian of the system defined by v. Labels and basis are the same as in precompute_sensor_state</p></li>
+<li><p><strong>mixed_state</strong> (<em>LxL np.array</em><em> of </em><em>floats</em>) – Mixed state matrix computed via the Hamiltonian using expm(-beta*H)</p></li>
+<li><p><strong>sensor_state</strong> – Cached information returned by precompute_sensor_state. All information therein are internal to the
+sensor simulator</p></li>
+<li><p><strong>beta</strong> (<em>float</em>) – scaled inverse temperature parameter</p></li>
+</ul>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="qdarts.tunneling_simulator.NoisySensorDot.sample_sensor_equilibrium">
+<span class="sig-name descname"><span class="pre">sample_sensor_equilibrium</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">v</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">H</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">mixed_state</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">sensor_state</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">beta</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#qdarts.tunneling_simulator.NoisySensorDot.sample_sensor_equilibrium" title="Link to this definition">¶</a></dt>
+<dd><p>Computes a noisy average of the sensor response for a given mixed state.</p>
+<p>This is intended to simulate a long (>1mus) time integration of the sensor signal, thus
+we can assume that states are thermalized but the signal is still affected by noise.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>v</strong> (<em>np.array</em><em> of </em><em>floats</em>) – vector of K gate voltages defining the current system</p></li>
+<li><p><strong>H</strong> (<em>LxL np.array</em><em> of </em><em>floats</em>) – Hamiltonian of the system defined by v. Labels and basis are the same as in precompute_sensor_state</p></li>
+<li><p><strong>mixed_state</strong> (<em>LxL np.array</em><em> of </em><em>floats</em>) – Mixed state matrix computed via the Hamiltonian using expm(-beta*H)</p></li>
+<li><p><strong>sensor_state</strong> – Cached information returned by precompute_sensor_state. All information therein are internal to the
+sensor simulator</p></li>
+<li><p><strong>beta</strong> (<em>float</em>) – scaled inverse temperature parameter</p></li>
+</ul>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="qdarts.tunneling_simulator.NoisySensorDot.slice">
+<span class="sig-name descname"><span class="pre">slice</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">P</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">m</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#qdarts.tunneling_simulator.NoisySensorDot.slice" title="Link to this definition">¶</a></dt>
+<dd><p>Takes an affine subspace of the simulated model.</p>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="qdarts.tunneling_simulator.NoisySensorDot.start_measurement">
+<span class="sig-name descname"><span class="pre">start_measurement</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="headerlink" href="#qdarts.tunneling_simulator.NoisySensorDot.start_measurement" title="Link to this definition">¶</a></dt>
+<dd><p>Reinitializes the sensor as to generate independent noise samples</p>
+</dd></dl>
+
+</dd></dl>
+
+</section>
+
+
+ </div>
+
+ </div>
+ </div>
+ <div class="sphinxsidebar" role="navigation" aria-label="main navigation">
+ <div class="sphinxsidebarwrapper">
+<h1 class="logo"><a href="../index.html">QDarts</a></h1>
+
+
+
+
+
+
+
+
+<h3>Navigation</h3>
+<ul class="current">
+<li class="toctree-l1"><a class="reference internal" href="../api_tutorial.html">API Usage Tutorial</a></li>
+<li class="toctree-l1 current"><a class="reference internal" href="../api.html">API</a></li>
+</ul>
+
+<div class="relations">
+<h3>Related Topics</h3>
+<ul>
+ <li><a href="../index.html">Documentation overview</a><ul>
+ <li><a href="../api.html">API</a><ul>
+ <li>Previous: <a href="qdarts.tunneling_simulator.TunnelBarrierModel.html" title="previous chapter">qdarts.tunneling_simulator.TunnelBarrierModel</a></li>
+ <li>Next: <a href="qdarts.noise_processes.OU_process.html" title="next chapter">qdarts.noise_processes.OU_process</a></li>
+ </ul></li>
+ </ul></li>
+</ul>
+</div>
+<search id="searchbox" style="display: none" role="search">
+ <h3 id="searchlabel">Quick search</h3>
+ <div class="searchformwrapper">
+ <form class="search" action="../search.html" method="get">
+ <input type="text" name="q" aria-labelledby="searchlabel" autocomplete="off" autocorrect="off" autocapitalize="off" spellcheck="false"/>
+ <input type="submit" value="Go" />
+ </form>
+ </div>
+</search>
+<script>document.getElementById('searchbox').style.display = "block"</script>
+
+
+
+
+
+
+
+
+ </div>
+ </div>
+ <div class="clearer"></div>
+ </div>
+ <div class="footer">
+ ©2024, Oswin Krause, Jan Krzywda, Weikun Liu, Evert van Nieuwenburg.
+
+ |
+ Powered by <a href="https://www.sphinx-doc.org/">Sphinx 7.3.7</a>
+ & <a href="https://alabaster.readthedocs.io">Alabaster 0.7.16</a>
+
+ |
+ <a href="../_sources/interfaces/qdarts.tunneling_simulator.NoisySensorDot.rst.txt"
+ rel="nofollow">Page source</a>
+ </div>
+
+
+
+
+ </body>
+</html>
\ No newline at end of file
diff --git a/QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/docs/interfaces/qdarts.tunneling_simulator.TunnelBarrierModel.html b/QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/docs/interfaces/qdarts.tunneling_simulator.TunnelBarrierModel.html
new file mode 100644
index 0000000..77a6fd0
--- /dev/null
+++ b/QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/docs/interfaces/qdarts.tunneling_simulator.TunnelBarrierModel.html
@@ -0,0 +1,177 @@
+<!DOCTYPE html>
+
+<html lang="en" data-content_root="../">
+ <head>
+ <meta charset="utf-8" />
+ <meta name="viewport" content="width=device-width, initial-scale=1.0" /><meta name="generator" content="Docutils 0.18.1: http://docutils.sourceforge.net/" />
+
+ <title>qdarts.tunneling_simulator.TunnelBarrierModel — QDarts documentation</title>
+ <link rel="stylesheet" type="text/css" href="../_static/pygments.css?v=61cd365c" />
+ <link rel="stylesheet" type="text/css" href="../_static/alabaster.css?v=12dfc556" />
+ <script src="../_static/documentation_options.js?v=5929fcd5"></script>
+ <script src="../_static/doctools.js?v=9a2dae69"></script>
+ <script src="../_static/sphinx_highlight.js?v=dc90522c"></script>
+ <link rel="index" title="Index" href="../genindex.html" />
+ <link rel="search" title="Search" href="../search.html" />
+ <link rel="next" title="qdarts.tunneling_simulator.NoisySensorDot" href="qdarts.tunneling_simulator.NoisySensorDot.html" />
+ <link rel="prev" title="qdarts.tunneling_simulator.ApproximateTunnelingSimulator" href="qdarts.tunneling_simulator.ApproximateTunnelingSimulator.html" />
+
+ <link rel="stylesheet" href="../_static/custom.css" type="text/css" />
+
+
+
+
+
+ </head><body>
+
+
+ <div class="document">
+ <div class="documentwrapper">
+ <div class="bodywrapper">
+
+
+ <div class="body" role="main">
+
+ <section id="qdarts-tunneling-simulator-tunnelbarriermodel">
+<h1>qdarts.tunneling_simulator.TunnelBarrierModel<a class="headerlink" href="#qdarts-tunneling-simulator-tunnelbarriermodel" title="Link to this heading">¶</a></h1>
+<dl class="py class">
+<dt class="sig sig-object py" id="qdarts.tunneling_simulator.TunnelBarrierModel">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">qdarts.tunneling_simulator.</span></span><span class="sig-name descname"><span class="pre">TunnelBarrierModel</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">gate_offsets</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">gate_levers</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#qdarts.tunneling_simulator.TunnelBarrierModel" title="Link to this definition">¶</a></dt>
+<dd><p>Model of the tunnel barriers of a device</p>
+<p>This class defines a mapping between gate voltages of the device and
+the tunnel coupling between the dots. To be more exact, the tunnel
+coupling between dots i, and j and the gate voltages v is given by</p>
+<p>T_ij = exp(W_ij^Tv+b_ij)</p>
+<p>where W_ij is a vector of couplings and b_ij is an offset.</p>
+<dl class="py method">
+<dt class="sig sig-object py" id="qdarts.tunneling_simulator.TunnelBarrierModel.__init__">
+<span class="sig-name descname"><span class="pre">__init__</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">gate_offsets</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">gate_levers</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#qdarts.tunneling_simulator.TunnelBarrierModel.__init__" title="Link to this definition">¶</a></dt>
+<dd><p>Creates a tunnel barrier model.</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>gate_offsets</strong> (<em>NxN np.array</em><em> of </em><em>floats</em>) – the offsets b_ij provided as matrix.</p></li>
+<li><p><strong>gate_levers</strong> (<em>NxNxK np.array</em><em> of </em><em>floats</em><em> or </em><em>None</em>) – Here, K is the number of plunger gates. The first two indices describe the index of the tunnel coupling matrix ij.
+If None, it is assumed to be 0.</p></li>
+</ul>
+</dd>
+</dl>
+</dd></dl>
+
+<p class="rubric">Methods</p>
+<table class="autosummary longtable docutils align-default">
+<tbody>
+<tr class="row-odd"><td><p><a class="reference internal" href="#qdarts.tunneling_simulator.TunnelBarrierModel.__init__" title="qdarts.tunneling_simulator.TunnelBarrierModel.__init__"><code class="xref py py-obj docutils literal notranslate"><span class="pre">__init__</span></code></a>(gate_offsets[, gate_levers])</p></td>
+<td><p>Creates a tunnel barrier model.</p></td>
+</tr>
+<tr class="row-even"><td><p><a class="reference internal" href="#qdarts.tunneling_simulator.TunnelBarrierModel.get_tunnel_matrix" title="qdarts.tunneling_simulator.TunnelBarrierModel.get_tunnel_matrix"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_tunnel_matrix</span></code></a>(v)</p></td>
+<td><p>Returns the tunnel matrix for a given gate voltage</p></td>
+</tr>
+<tr class="row-odd"><td><p><a class="reference internal" href="#qdarts.tunneling_simulator.TunnelBarrierModel.slice" title="qdarts.tunneling_simulator.TunnelBarrierModel.slice"><code class="xref py py-obj docutils literal notranslate"><span class="pre">slice</span></code></a>(P, m)</p></td>
+<td><p>Takes an affine subspace of the simulated model.</p></td>
+</tr>
+</tbody>
+</table>
+<dl class="py method">
+<dt class="sig sig-object py" id="qdarts.tunneling_simulator.TunnelBarrierModel.get_tunnel_matrix">
+<span class="sig-name descname"><span class="pre">get_tunnel_matrix</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">v</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#qdarts.tunneling_simulator.TunnelBarrierModel.get_tunnel_matrix" title="Link to this definition">¶</a></dt>
+<dd><p>Returns the tunnel matrix for a given gate voltage</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><p><strong>v</strong> (<em>np.array</em><em> of </em><em>floats</em><em> or </em><em>None</em>) – Array of size K storing the gate voltages</p>
+</dd>
+</dl>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="qdarts.tunneling_simulator.TunnelBarrierModel.slice">
+<span class="sig-name descname"><span class="pre">slice</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">P</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">m</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#qdarts.tunneling_simulator.TunnelBarrierModel.slice" title="Link to this definition">¶</a></dt>
+<dd><p>Takes an affine subspace of the simulated model.</p>
+<p>Let v=Pv’+m. Computes a new parameterization such, that
+T_ij = exp(W’_ij^Tv’+b’_ij)</p>
+<dl class="field-list simple">
+<dt class="field-odd">Parameters<span class="colon">:</span></dt>
+<dd class="field-odd"><ul class="simple">
+<li><p><strong>P</strong> (<em>KxM np.array</em><em> of </em><em>floats</em>) – The linear transformation matrix</p></li>
+<li><p><strong>m</strong> (<em>np.array</em><em> of </em><em>floats</em><em> or </em><em>None</em>) – Array of size K storing the affine offset.</p></li>
+</ul>
+</dd>
+</dl>
+</dd></dl>
+
+</dd></dl>
+
+</section>
+
+
+ </div>
+
+ </div>
+ </div>
+ <div class="sphinxsidebar" role="navigation" aria-label="main navigation">
+ <div class="sphinxsidebarwrapper">
+<h1 class="logo"><a href="../index.html">QDarts</a></h1>
+
+
+
+
+
+
+
+
+<h3>Navigation</h3>
+<ul class="current">
+<li class="toctree-l1"><a class="reference internal" href="../api_tutorial.html">API Usage Tutorial</a></li>
+<li class="toctree-l1 current"><a class="reference internal" href="../api.html">API</a></li>
+</ul>
+
+<div class="relations">
+<h3>Related Topics</h3>
+<ul>
+ <li><a href="../index.html">Documentation overview</a><ul>
+ <li><a href="../api.html">API</a><ul>
+ <li>Previous: <a href="qdarts.tunneling_simulator.ApproximateTunnelingSimulator.html" title="previous chapter">qdarts.tunneling_simulator.ApproximateTunnelingSimulator</a></li>
+ <li>Next: <a href="qdarts.tunneling_simulator.NoisySensorDot.html" title="next chapter">qdarts.tunneling_simulator.NoisySensorDot</a></li>
+ </ul></li>
+ </ul></li>
+</ul>
+</div>
+<search id="searchbox" style="display: none" role="search">
+ <h3 id="searchlabel">Quick search</h3>
+ <div class="searchformwrapper">
+ <form class="search" action="../search.html" method="get">
+ <input type="text" name="q" aria-labelledby="searchlabel" autocomplete="off" autocorrect="off" autocapitalize="off" spellcheck="false"/>
+ <input type="submit" value="Go" />
+ </form>
+ </div>
+</search>
+<script>document.getElementById('searchbox').style.display = "block"</script>
+
+
+
+
+
+
+
+
+ </div>
+ </div>
+ <div class="clearer"></div>
+ </div>
+ <div class="footer">
+ ©2024, Oswin Krause, Jan Krzywda, Weikun Liu, Evert van Nieuwenburg.
+
+ |
+ Powered by <a href="https://www.sphinx-doc.org/">Sphinx 7.3.7</a>
+ & <a href="https://alabaster.readthedocs.io">Alabaster 0.7.16</a>
+
+ |
+ <a href="../_sources/interfaces/qdarts.tunneling_simulator.TunnelBarrierModel.rst.txt"
+ rel="nofollow">Page source</a>
+ </div>
+
+
+
+
+ </body>
+</html>
\ No newline at end of file
diff --git a/QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/docs/objects.inv b/QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/docs/objects.inv
new file mode 100644
index 0000000000000000000000000000000000000000..84d1f3d60d34596d6d95f7ebda977fbb70b27c7f
GIT binary patch
literal 1543
zcmV+i2Kf0SAX9K?X>NERX>N99Zgg*Qc_4OWa&u{KZXhxWBOp+6Z)#;@bUGkWL}7At
za|$CMR%LQ?X>V>iAPOTORA^-&a%F8{X>Md?av*PJAarPHb0B7EY-J#6b0A}HZE$jB
zb8}^6Aa!$TZf78RY-wUH3V7Pho6BzFHWY^UdI|#VHZG>i*`-N~4$x^+II|`w>DVEL
zA{CM{>^^-d$#QIuE%PdCXN%<dKk;&Sc+q=Fq*jZ9)TE%A@B(lpN??n}Txm%P{q&LY
zwM{_v?sLJ2Qs@(+T!UPZ0@N?>u67o0x?(^5j2<%gq8L+7HO4JV1^P{tcZA7B!%Kx3
zt*BNl5z$)GywPw+s6te=A;7g@J1uI!D<QGc#6ZoV&IUY_$`#dAa18GaX@96$00M6+
zkfypY2fBVUZ7k;jX1H)E=F`zy9?DH)&W1=aTFj%DZ$Q%3?l1<YWD51#5hVS+bPVyR
z9wr8mU$?xe4BOiDvI@9f{C@a3-r5(7*crBM(-4UQT60GYmr$#Onu#4gu6ISN^nwbw
zG81w&49&D^y5Src<?F;Rw+7zNnNQ2-q%s<}!`sxM5i66wl*XnOH70Vc66<WJ)D2-&
zMSLqRj5%COVM;1che_q{_W4Wyc-&vuSn!gy^(N^6+UNxsv=wI&zog@^nH&<TYm?Xb
zr1u8+G#F1pQ4aVk5RU(7crmzn`%ZYtf|smsCyWQ+)A$k9LmJ-;<DYNCAGap|DCZ#I
z+q`~a9Ja=b6E=yMPrvb03h5&wlEcbq@p808y51pv$bQ@4;_<dy_c3ePt9(q8vh2cM
z!i>gBq~Xugn5EpTc{R=1e&MwevPw`zjO4&nnpa@tKNFu@3@snyRili5=(YvY(AUD)
zG5to-64EHBHXgRy(eN_QNbx;U(;oIeLrt65ykSHOdA>zMH}DJ_(|49bj&YCXU?>E_
z)?H17(`}g(NkPp7s366gS#u37KO3yGUHqA0dF-uCg}9=;#QScx!ySi$!eTdRQozn3
zVX?v+!8BRVrG4A2h>C2@|LWrasdLOT0qo~DtMja>kks7k%qFCX%Q8%#-gDs(27E;Q
z=e{`d0drj(0Q(celmxbCgsB+(y1$Eda0uu#)*^;{apk>3m$(=arn0y|YIZ<Q1H)eX
z<k0DCSS`EbuVsJ2aeZi5neY>~9UdtWY6-(A*`Ej61T-m$6sc-<peY1j(RCw<Mc6zY
zm04*}MsrD<>Yhv%qb8|-w<B8tQH_M*$bTA^x|YKDFVj<Bhh)pC&e>cz(Bk!W$Z-#>
z5ciW9Eho}Mt8zGio?qSNpvg?hY-9a<zzuT^69r*d?UaUUhM4VQ;phnD^!nxen!JtS
z<~vk|xS}9@hE07$hkt#ZG2m>Q*Eb3Y=K8C3BFlphahvmx3cHFe{`6~!5XpeKIz%=n
ziYokZ)M=Wm2B~+`h<nemA*#a^RnaXR?T)J^H_PUUtG^HuaNh=$mu8$z-v~$5Fu8Wz
zrC>agu;pJ6hu!IMY}w5;lI``qUB4217TVpXpO*KK3~{sJ;(Z6l-QA^o0@Ogh-$g&(
zW>h#!T;CI$C(Hvypz#d)A}B}Lbn>9+L)72;Z3&C7ne1$MN{6_qco6NeMxPa%AYRh#
zU1@xK<QM^|DN?%pT#5ocd_v}Lmxdl+zO-rP?TrOW*jc8-^Fwa*O|>^GUiZ(lHE<Kp
z!L}>dMb~Z7;b~v&OZzkX$hNnCl;hv$_N}szulP<a2YwBRoQq{XpP#uhJF;3ZUjE)~
z6zlqTGH5JE=J)NxIE(ey6Ud=J=66xwjr8hOf8<agbGa_=#&>qj9No;8S={^_N4R`Z
z6kSWrf-c;QqqyGOLGI-;uL~2d*q3iyAp888*YUM2rfaRb)TZ5u`6#IUF&}a%kww^6
z^Z>uPONo3-XU>agcl`4eII_!|`NYxgbQj`qWSu?pjqlt!uf&MRsYqtRiwi+ty?YoE
tdZQ+D!(bo&9i`qV_Odf!FF!4<fXL$Qv|#_NFSG2^UrcP8{SS%JUu%xb3y1&!
literal 0
HcmV?d00001
diff --git a/QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/docs/py-modindex.html b/QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/docs/py-modindex.html
new file mode 100644
index 0000000..f66da25
--- /dev/null
+++ b/QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/docs/py-modindex.html
@@ -0,0 +1,158 @@
+<!DOCTYPE html>
+
+<html lang="en" data-content_root="./">
+ <head>
+ <meta charset="utf-8" />
+ <meta name="viewport" content="width=device-width, initial-scale=1.0" />
+ <title>Python Module Index — QDarts documentation</title>
+ <link rel="stylesheet" type="text/css" href="_static/pygments.css?v=61cd365c" />
+ <link rel="stylesheet" type="text/css" href="_static/alabaster.css?v=12dfc556" />
+ <script src="_static/documentation_options.js?v=5929fcd5"></script>
+ <script src="_static/doctools.js?v=9a2dae69"></script>
+ <script src="_static/sphinx_highlight.js?v=dc90522c"></script>
+ <link rel="index" title="Index" href="genindex.html" />
+ <link rel="search" title="Search" href="search.html" />
+
+
+ <link rel="stylesheet" href="_static/custom.css" type="text/css" />
+
+
+
+
+
+
+
+ </head><body>
+
+
+ <div class="document">
+ <div class="documentwrapper">
+ <div class="bodywrapper">
+
+
+ <div class="body" role="main">
+
+
+ <h1>Python Module Index</h1>
+
+ <div class="modindex-jumpbox">
+ <a href="#cap-q"><strong>q</strong></a>
+ </div>
+
+ <table class="indextable modindextable">
+ <tr class="pcap"><td></td><td> </td><td></td></tr>
+ <tr class="cap" id="cap-q"><td></td><td>
+ <strong>q</strong></td><td></td></tr>
+ <tr>
+ <td><img src="_static/minus.png" class="toggler"
+ id="toggle-1" style="display: none" alt="-" /></td>
+ <td>
+ <a href="_autosummary/qdarts.html#module-qdarts"><code class="xref">qdarts</code></a></td><td>
+ <em></em></td></tr>
+ <tr class="cg-1">
+ <td></td>
+ <td>   
+ <a href="_autosummary/qdarts.capacitance_model.html#module-qdarts.capacitance_model"><code class="xref">qdarts.capacitance_model</code></a></td><td>
+ <em></em></td></tr>
+ <tr class="cg-1">
+ <td></td>
+ <td>   
+ <a href="_autosummary/qdarts.experiment.html#module-qdarts.experiment"><code class="xref">qdarts.experiment</code></a></td><td>
+ <em></em></td></tr>
+ <tr class="cg-1">
+ <td></td>
+ <td>   
+ <a href="_autosummary/qdarts.noise_processes.html#module-qdarts.noise_processes"><code class="xref">qdarts.noise_processes</code></a></td><td>
+ <em></em></td></tr>
+ <tr class="cg-1">
+ <td></td>
+ <td>   
+ <a href="_autosummary/qdarts.plotting.html#module-qdarts.plotting"><code class="xref">qdarts.plotting</code></a></td><td>
+ <em></em></td></tr>
+ <tr class="cg-1">
+ <td></td>
+ <td>   
+ <a href="_autosummary/qdarts.polytope.html#module-qdarts.polytope"><code class="xref">qdarts.polytope</code></a></td><td>
+ <em></em></td></tr>
+ <tr class="cg-1">
+ <td></td>
+ <td>   
+ <a href="_autosummary/qdarts.simulator.html#module-qdarts.simulator"><code class="xref">qdarts.simulator</code></a></td><td>
+ <em></em></td></tr>
+ <tr class="cg-1">
+ <td></td>
+ <td>   
+ <a href="_autosummary/qdarts.tunneling_simulator.html#module-qdarts.tunneling_simulator"><code class="xref">qdarts.tunneling_simulator</code></a></td><td>
+ <em></em></td></tr>
+ <tr class="cg-1">
+ <td></td>
+ <td>   
+ <a href="_autosummary/qdarts.util_functions.html#module-qdarts.util_functions"><code class="xref">qdarts.util_functions</code></a></td><td>
+ <em></em></td></tr>
+ </table>
+
+
+ </div>
+
+ </div>
+ </div>
+ <div class="sphinxsidebar" role="navigation" aria-label="main navigation">
+ <div class="sphinxsidebarwrapper">
+<h1 class="logo"><a href="index.html">QDarts</a></h1>
+
+
+
+
+
+
+
+
+<h3>Navigation</h3>
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="simulator.html">Simulator</a></li>
+<li class="toctree-l1"><a class="reference internal" href="api.html">API</a></li>
+</ul>
+
+<div class="relations">
+<h3>Related Topics</h3>
+<ul>
+ <li><a href="index.html">Documentation overview</a><ul>
+ </ul></li>
+</ul>
+</div>
+<search id="searchbox" style="display: none" role="search">
+ <h3 id="searchlabel">Quick search</h3>
+ <div class="searchformwrapper">
+ <form class="search" action="search.html" method="get">
+ <input type="text" name="q" aria-labelledby="searchlabel" autocomplete="off" autocorrect="off" autocapitalize="off" spellcheck="false"/>
+ <input type="submit" value="Go" />
+ </form>
+ </div>
+</search>
+<script>document.getElementById('searchbox').style.display = "block"</script>
+
+
+
+
+
+
+
+
+ </div>
+ </div>
+ <div class="clearer"></div>
+ </div>
+ <div class="footer">
+ ©2024, Oswin Krause, Jan Krzywda, Weikun Liu, Evert van Nieuwenburg.
+
+ |
+ Powered by <a href="https://www.sphinx-doc.org/">Sphinx 7.3.7</a>
+ & <a href="https://alabaster.readthedocs.io">Alabaster 0.7.16</a>
+
+ </div>
+
+
+
+
+ </body>
+</html>
\ No newline at end of file
diff --git a/QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/docs/search.html b/QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/docs/search.html
new file mode 100644
index 0000000..a883aba
--- /dev/null
+++ b/QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/docs/search.html
@@ -0,0 +1,120 @@
+<!DOCTYPE html>
+
+<html lang="en" data-content_root="./">
+ <head>
+ <meta charset="utf-8" />
+ <meta name="viewport" content="width=device-width, initial-scale=1.0" />
+ <title>Search — QDarts documentation</title>
+ <link rel="stylesheet" type="text/css" href="_static/pygments.css?v=61cd365c" />
+ <link rel="stylesheet" type="text/css" href="_static/alabaster.css?v=12dfc556" />
+
+ <script src="_static/documentation_options.js?v=5929fcd5"></script>
+ <script src="_static/doctools.js?v=9a2dae69"></script>
+ <script src="_static/sphinx_highlight.js?v=dc90522c"></script>
+ <script src="_static/searchtools.js"></script>
+ <script src="_static/language_data.js"></script>
+ <link rel="index" title="Index" href="genindex.html" />
+ <link rel="search" title="Search" href="#" />
+ <script src="searchindex.js" defer="defer"></script>
+ <meta name="robots" content="noindex" />
+
+
+ <link rel="stylesheet" href="_static/custom.css" type="text/css" />
+
+
+
+
+
+
+ </head><body>
+
+
+ <div class="document">
+ <div class="documentwrapper">
+ <div class="bodywrapper">
+
+
+ <div class="body" role="main">
+
+ <h1 id="search-documentation">Search</h1>
+
+ <noscript>
+ <div class="admonition warning">
+ <p>
+ Please activate JavaScript to enable the search
+ functionality.
+ </p>
+ </div>
+ </noscript>
+
+
+ <p>
+ Searching for multiple words only shows matches that contain
+ all words.
+ </p>
+
+
+ <form action="" method="get">
+ <input type="text" name="q" aria-labelledby="search-documentation" value="" autocomplete="off" autocorrect="off" autocapitalize="off" spellcheck="false"/>
+ <input type="submit" value="search" />
+ <span id="search-progress" style="padding-left: 10px"></span>
+ </form>
+
+
+ <div id="search-results"></div>
+
+
+ </div>
+
+ </div>
+ </div>
+ <div class="sphinxsidebar" role="navigation" aria-label="main navigation">
+ <div class="sphinxsidebarwrapper">
+<h1 class="logo"><a href="index.html">QDarts</a></h1>
+
+
+
+
+
+
+
+
+<h3>Navigation</h3>
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="api_tutorial.html">API Usage Tutorial</a></li>
+<li class="toctree-l1"><a class="reference internal" href="api.html">API</a></li>
+</ul>
+
+<div class="relations">
+<h3>Related Topics</h3>
+<ul>
+ <li><a href="index.html">Documentation overview</a><ul>
+ </ul></li>
+</ul>
+</div>
+
+
+
+
+
+
+
+
+ </div>
+ </div>
+ <div class="clearer"></div>
+ </div>
+ <div class="footer">
+ ©2024, Oswin Krause, Jan Krzywda, Weikun Liu, Evert van Nieuwenburg.
+
+ |
+ Powered by <a href="https://www.sphinx-doc.org/">Sphinx 7.3.7</a>
+ & <a href="https://alabaster.readthedocs.io">Alabaster 0.7.16</a>
+
+ </div>
+
+
+
+
+ </body>
+</html>
\ No newline at end of file
diff --git a/QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/docs/searchindex.js b/QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/docs/searchindex.js
new file mode 100644
index 0000000..b944991
--- /dev/null
+++ b/QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/docs/searchindex.js
@@ -0,0 +1 @@
+Search.setIndex({"alltitles": {"API": [[0, "api"]], "API Usage Tutorial": [[1, "api-usage-tutorial"]], "Construction of the capacitive simulation": [[1, "construction-of-the-capacitive-simulation"]], "Creation of a tunneling simulation": [[1, "creation-of-a-tunneling-simulation"]], "Data Classes": [[0, "data-classes"]], "Documentation": [[2, "documentation"]], "Experiment Class": [[0, "experiment-class"]], "Installation": [[2, "installation"]], "Interfaces": [[0, "interfaces"]], "Plotting the Charge Stability Diagram": [[1, "plotting-the-charge-stability-diagram"]], "QDarts": [[2, "qdarts"]], "Simulation Components": [[0, "simulation-components"]], "Slicing and sensor compensation": [[1, "slicing-and-sensor-compensation"]], "qdarts.capacitance_model.AbstractCapacitanceModel": [[3, "qdarts-capacitance-model-abstractcapacitancemodel"]], "qdarts.capacitance_model.CapacitanceModel": [[4, "qdarts-capacitance-model-capacitancemodel"]], "qdarts.experiment.Experiment": [[5, "qdarts-experiment-experiment"]], "qdarts.noise_processes.AbstractNoiseProcess": [[6, "qdarts-noise-processes-abstractnoiseprocess"]], "qdarts.noise_processes.Cosine_Mean_Function": [[7, "qdarts-noise-processes-cosine-mean-function"]], "qdarts.noise_processes.OU_process": [[8, "qdarts-noise-processes-ou-process"]], "qdarts.polytope.Polytope": [[9, "qdarts-polytope-polytope"]], "qdarts.simulator.AbstractCapacitiveDeviceSimulator": [[10, "qdarts-simulator-abstractcapacitivedevicesimulator"]], "qdarts.simulator.AbstractPolytopeSimulator": [[11, "qdarts-simulator-abstractpolytopesimulator"]], "qdarts.simulator.CapacitiveDeviceSimulator": [[12, "qdarts-simulator-capacitivedevicesimulator"]], "qdarts.tunneling_simulator.AbstractSensorSim": [[13, "qdarts-tunneling-simulator-abstractsensorsim"]], "qdarts.tunneling_simulator.ApproximateTunnelingSimulator": [[14, "qdarts-tunneling-simulator-approximatetunnelingsimulator"]], "qdarts.tunneling_simulator.LocalSystem": [[15, "qdarts-tunneling-simulator-localsystem"]], "qdarts.tunneling_simulator.NoisySensorDot": [[16, "qdarts-tunneling-simulator-noisysensordot"]], "qdarts.tunneling_simulator.TunnelBarrierModel": [[17, "qdarts-tunneling-simulator-tunnelbarriermodel"]]}, "docnames": ["api", "api_tutorial", "index", "interfaces/qdarts.capacitance_model.AbstractCapacitanceModel", "interfaces/qdarts.capacitance_model.CapacitanceModel", "interfaces/qdarts.experiment.Experiment", "interfaces/qdarts.noise_processes.AbstractNoiseProcess", "interfaces/qdarts.noise_processes.Cosine_Mean_Function", "interfaces/qdarts.noise_processes.OU_process", "interfaces/qdarts.polytope.Polytope", "interfaces/qdarts.simulator.AbstractCapacitiveDeviceSimulator", "interfaces/qdarts.simulator.AbstractPolytopeSimulator", "interfaces/qdarts.simulator.CapacitiveDeviceSimulator", "interfaces/qdarts.tunneling_simulator.AbstractSensorSim", "interfaces/qdarts.tunneling_simulator.ApproximateTunnelingSimulator", "interfaces/qdarts.tunneling_simulator.LocalSystem", "interfaces/qdarts.tunneling_simulator.NoisySensorDot", "interfaces/qdarts.tunneling_simulator.TunnelBarrierModel"], "envversion": {"sphinx": 61, "sphinx.domains.c": 3, "sphinx.domains.changeset": 1, "sphinx.domains.citation": 1, "sphinx.domains.cpp": 9, "sphinx.domains.index": 1, "sphinx.domains.javascript": 3, "sphinx.domains.math": 2, "sphinx.domains.python": 4, "sphinx.domains.rst": 2, "sphinx.domains.std": 2}, "filenames": ["api.rst", "api_tutorial.rst", "index.rst", "interfaces/qdarts.capacitance_model.AbstractCapacitanceModel.rst", "interfaces/qdarts.capacitance_model.CapacitanceModel.rst", "interfaces/qdarts.experiment.Experiment.rst", "interfaces/qdarts.noise_processes.AbstractNoiseProcess.rst", "interfaces/qdarts.noise_processes.Cosine_Mean_Function.rst", "interfaces/qdarts.noise_processes.OU_process.rst", "interfaces/qdarts.polytope.Polytope.rst", "interfaces/qdarts.simulator.AbstractCapacitiveDeviceSimulator.rst", "interfaces/qdarts.simulator.AbstractPolytopeSimulator.rst", "interfaces/qdarts.simulator.CapacitiveDeviceSimulator.rst", "interfaces/qdarts.tunneling_simulator.AbstractSensorSim.rst", "interfaces/qdarts.tunneling_simulator.ApproximateTunnelingSimulator.rst", "interfaces/qdarts.tunneling_simulator.LocalSystem.rst", "interfaces/qdarts.tunneling_simulator.NoisySensorDot.rst", "interfaces/qdarts.tunneling_simulator.TunnelBarrierModel.rst"], "indexentries": {}, "objects": {"qdarts.capacitance_model": [[3, 0, 1, "", "AbstractCapacitanceModel"], [4, 0, 1, "", "CapacitanceModel"]], "qdarts.capacitance_model.AbstractCapacitanceModel": [[3, 1, 1, "", "__init__"], [3, 2, 1, "", "bounds_limits"], [3, 1, 1, "", "compute_polytope_for_state"], [3, 1, 1, "", "compute_transition_equations"], [3, 1, 1, "", "enumerate_neighbours"], [3, 2, 1, "", "num_dots"], [3, 2, 1, "", "num_inputs"], [3, 1, 1, "", "slice"], [3, 1, 1, "", "verify_polytope"]], "qdarts.capacitance_model.CapacitanceModel": [[4, 1, 1, "", "__init__"], [4, 1, 1, "", "compute_transition_equations"], [4, 1, 1, "", "slice"]], "qdarts.experiment": [[5, 0, 1, "", "Experiment"]], "qdarts.experiment.Experiment": [[5, 1, 1, "", "__init__"], [5, 1, 1, "", "center_transition"], [5, 1, 1, "", "deploy_capacitance_sim"], [5, 1, 1, "", "deploy_sensor_model"], [5, 1, 1, "", "deploy_tunneling_sim"], [5, 1, 1, "", "generate_CSD"], [5, 1, 1, "", "get_compensated_sim"], [5, 1, 1, "", "get_plot_args"], [5, 1, 1, "", "get_virtualised_sim"]], "qdarts.noise_processes": [[6, 0, 1, "", "AbstractNoiseProcess"], [7, 0, 1, "", "Cosine_Mean_Function"], [8, 0, 1, "", "OU_process"]], "qdarts.noise_processes.AbstractNoiseProcess": [[6, 1, 1, "", "__init__"], [6, 2, 1, "", "num_elements"], [6, 1, 1, "", "slice"], [6, 1, 1, "", "start_sequence"]], "qdarts.noise_processes.Cosine_Mean_Function": [[7, 1, 1, "", "__init__"], [7, 1, 1, "", "slice"], [7, 1, 1, "", "start_sequence"]], "qdarts.noise_processes.OU_process": [[8, 1, 1, "", "__init__"], [8, 1, 1, "", "next_val"], [8, 1, 1, "", "slice"], [8, 1, 1, "", "start_sequence"]], "qdarts.polytope": [[9, 0, 1, "", "Polytope"]], "qdarts.polytope.Polytope": [[9, 2, 1, "", "A"], [9, 1, 1, "", "__init__"], [9, 2, 1, "", "additional_info"], [9, 2, 1, "", "b"], [9, 1, 1, "", "invertible_transform"], [9, 2, 1, "", "labels"], [9, 1, 1, "", "lazy_slice"], [9, 2, 1, "", "must_verify"], [9, 2, 1, "", "point_inside"], [9, 1, 1, "", "set_polytope"], [9, 2, 1, "", "slacks"], [9, 2, 1, "", "state"]], "qdarts.simulator": [[10, 0, 1, "", "AbstractCapacitiveDeviceSimulator"], [11, 0, 1, "", "AbstractPolytopeSimulator"], [12, 0, 1, "", "CapacitiveDeviceSimulator"]], "qdarts.simulator.AbstractCapacitiveDeviceSimulator": [[10, 1, 1, "", "__init__"], [10, 1, 1, "", "boundaries"], [10, 1, 1, "", "cached_polytopes"], [10, 1, 1, "", "compute_polytope"], [10, 1, 1, "", "compute_transition_equations"], [10, 1, 1, "", "find_boundary_intersection"], [10, 1, 1, "", "find_state_of_voltage"], [10, 1, 1, "", "get_maximum_polytope_slack"], [10, 1, 1, "", "inside_state"], [10, 1, 1, "", "set_maximum_polytope_slack"], [10, 1, 1, "", "slice"]], "qdarts.simulator.AbstractPolytopeSimulator": [[11, 1, 1, "", "__init__"], [11, 1, 1, "", "boundaries"], [11, 2, 1, "", "num_dots"], [11, 2, 1, "", "num_inputs"], [11, 1, 1, "", "slice"]], "qdarts.simulator.CapacitiveDeviceSimulator": [[12, 1, 1, "", "__init__"], [12, 1, 1, "", "compute_polytope"], [12, 1, 1, "", "get_maximum_polytope_slack"], [12, 1, 1, "", "set_maximum_polytope_slack"], [12, 1, 1, "", "slice"]], "qdarts.tunneling_simulator": [[13, 0, 1, "", "AbstractSensorSim"], [14, 0, 1, "", "ApproximateTunnelingSimulator"], [15, 0, 1, "", "LocalSystem"], [16, 0, 1, "", "NoisySensorDot"], [17, 0, 1, "", "TunnelBarrierModel"]], "qdarts.tunneling_simulator.AbstractSensorSim": [[13, 1, 1, "", "__init__"], [13, 1, 1, "", "precompute_sensor_state"], [13, 1, 1, "", "sample_sensor_configuration"], [13, 1, 1, "", "sample_sensor_equilibrium"], [13, 1, 1, "", "slice"], [13, 1, 1, "", "start_measurement"]], "qdarts.tunneling_simulator.ApproximateTunnelingSimulator": [[14, 2, 1, "", "T"], [14, 1, 1, "", "__init__"], [14, 2, 1, "", "barrier_sim"], [14, 2, 1, "", "beta"], [14, 1, 1, "", "boundaries"], [14, 1, 1, "", "compute_local_system"], [14, 2, 1, "", "num_additional_neighbours"], [14, 2, 1, "", "poly_sim"], [14, 1, 1, "", "sensor_scan"], [14, 1, 1, "", "sensor_scan_2D"], [14, 2, 1, "", "sensor_sim"], [14, 1, 1, "", "slice"]], "qdarts.tunneling_simulator.LocalSystem": [[15, 2, 1, "", "H"], [15, 1, 1, "", "__init__"], [15, 3, 1, "", "basis_labels"], [15, 2, 1, "", "beta"], [15, 1, 1, "", "compute_mixed_state_of_subset"], [15, 3, 1, "", "core_basis_indices"], [15, 3, 1, "", "mixed_state"], [15, 1, 1, "", "sample_sensor_configuration"], [15, 1, 1, "", "sample_sensor_equilibrium"], [15, 2, 1, "", "state"], [15, 2, 1, "", "v"]], "qdarts.tunneling_simulator.NoisySensorDot": [[16, 1, 1, "", "__init__"], [16, 1, 1, "", "config_noise"], [16, 1, 1, "", "config_peak"], [16, 1, 1, "", "precompute_sensor_state"], [16, 1, 1, "", "sample_sensor_configuration"], [16, 1, 1, "", "sample_sensor_equilibrium"], [16, 1, 1, "", "slice"], [16, 1, 1, "", "start_measurement"]], "qdarts.tunneling_simulator.TunnelBarrierModel": [[17, 1, 1, "", "__init__"], [17, 1, 1, "", "get_tunnel_matrix"], [17, 1, 1, "", "slice"]]}, "objnames": {"0": ["py", "class", "Python class"], "1": ["py", "method", "Python method"], "2": ["py", "attribute", "Python attribute"], "3": ["py", "property", "Python property"]}, "objtypes": {"0": "py:class", "1": "py:method", "2": "py:attribute", "3": "py:property"}, "terms": {"": [9, 14], "0": [1, 3, 4, 7, 9, 10, 12, 14, 15, 17], "0005": 1, "005": [], "01": 1, "06": 10, "1": [1, 3, 4, 5, 7, 8, 9, 14, 15], "100": 1, "100mk": [], "16": 1, "1d": 14, "1e": 10, "1mu": [13, 16], "2": [1, 4, 5, 7, 8, 14], "20": 1, "200mk": 1, "2d": [0, 1, 5, 12, 14], "2x1": 5, "2xn": 5, "3": [1, 3, 4], "3d": 5, "4": 1, "5": [1, 4], "6": 1, "7": 1, "8": [1, 9], "9": 1, "9x2": 1, "A": [2, 3, 4, 6, 7, 8, 9, 10, 11, 12, 13, 14, 16], "And": 1, "As": [1, 3, 9, 10], "By": [1, 3], "For": [0, 1, 3, 4, 10, 14, 15], "If": [1, 3, 4, 7, 9, 10, 12, 14, 17], "In": [0, 1, 2, 3, 13, 14, 16], "It": [1, 3, 8, 10, 12, 14], "Not": 9, "On": 1, "That": 10, "The": [0, 1, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17], "Then": [1, 14], "There": [1, 9], "These": [1, 14, 15], "To": [0, 1, 14, 17], "With": [0, 1], "_": [1, 7, 8], "__init__": [3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17], "_ij": 17, "_t": [6, 8], "a_": 7, "a_i": [3, 9], "abil": [3, 12, 14], "abl": 1, "about": 1, "abstract": [3, 6, 10, 11, 13], "abstractcapacitivedevicesimul": 12, "abstractnoiseprocess": 7, "abstractpolytopesimul": [5, 14], "abstractsensorsim": [14, 16], "access": 1, "account": [1, 15], "achiev": 1, "across": 12, "activ": 0, "actual": [10, 12], "ad": [1, 3, 7, 10, 14, 15, 16], "adapt": 16, "add": [1, 3, 14], "addit": [1, 7, 9, 14, 15, 16], "addition": [3, 14], "additional_info": 9, "advis": 14, "affect": [1, 13, 16], "affin": [3, 4, 6, 7, 8, 9, 10, 11, 12, 13, 14, 16, 17], "after": [3, 9], "again": [1, 14], "all": [0, 1, 3, 5, 6, 7, 8, 9, 10, 11, 13, 14, 15, 16], "allow": [1, 3, 10, 12, 13, 14, 15, 16], "almost": 1, "along": 14, "alreadi": [0, 1], "also": [0, 1, 3, 4, 10, 12, 14], "altern": 14, "alwai": [1, 9], "amplitud": 7, "an": [1, 3, 5, 7, 9, 10, 13, 14, 15, 16, 17], "ani": [0, 1, 2, 3, 5, 14, 15], "anoth": 10, "aong": 3, "api": 2, "api_tutori": 1, "appli": [3, 4, 9, 10, 12, 14], "applic": 1, "approxim": [14, 15], "approximatetunnelingsimul": [1, 5], "ar": [0, 1, 3, 4, 6, 8, 9, 10, 12, 13, 14, 15, 16], "arbitrari": 10, "area": [0, 1], "argument": [5, 13, 16], "around": 1, "arrai": [1, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17], "ask": 12, "assign": [1, 15], "assum": [6, 10, 13, 15, 16, 17], "atto": 4, "attribut": [6, 11, 15], "av": [3, 4, 9, 10, 13, 16], "avail": 10, "averag": [13, 15, 16], "avoid": 1, "ax": [1, 5, 14], "axi": [1, 5, 12], "axis_align_transit": 1, "b": [3, 4, 7, 9, 10, 13, 16, 17], "b_": 7, "b_i": [3, 9], "b_ij": 17, "barrier": [0, 1, 14, 17], "barrier_sim": 14, "base": [0, 1, 3, 10, 11, 12, 13, 15, 16], "basi": [1, 13, 14, 15, 16], "basic": [0, 3], "basis_label": [13, 15, 16], "batch": 3, "becaus": 1, "becom": 14, "been": 3, "befor": [1, 10, 12], "belong": 14, "below": [0, 1, 2], "best": [1, 5], "beta": [1, 13, 14, 15, 16], "better": 1, "between": [1, 3, 4, 6, 7, 8, 9, 10, 11, 14, 16, 17], "beyond": 0, "boisi": 15, "bookkeep": 9, "bool": [5, 9, 10, 11, 12, 14], "both": [0, 1, 14], "bottom": 1, "bound": [1, 3, 4], "boundari": [0, 1, 9, 10, 11, 14], "bounds_limit": [1, 3, 4], "bounds_norm": [3, 4], "broaden": 1, "broader": 1, "build": [0, 1, 2], "c_": 4, "c_d": 4, "c_dd": 1, "c_dg": 1, "c_g": 4, "cach": [1, 10, 12, 13, 14, 16], "cached_polytop": 10, "call": [0, 1, 3, 6, 10, 12, 13, 14, 16], "can": [0, 1, 2, 3, 4, 6, 7, 9, 10, 11, 12, 13, 14, 16], "candid": 10, "capacit": [0, 3, 4, 5, 9, 10, 12, 14, 15], "capacitanc": 1, "capacitance_config": 5, "capacitance_model": [1, 10, 12], "capacitance_sim": 5, "capacitancemodel": 1, "capacitancesimul": 5, "capacitive_sim": 1, "capacitivedevicesimul": [1, 5], "care": [12, 13, 16], "case": [0, 1, 3, 4, 7, 10, 12, 13, 14, 16], "center": [1, 5], "center_transit": 5, "chang": [0, 1, 4, 9, 10, 12], "charg": [0, 12, 14], "check": 1, "chemic": 1, "choic": [1, 10], "choos": 1, "chosen": 1, "class": [1, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17], "classic": 1, "clear": [1, 10, 12], "clearli": 10, "close": [3, 9], "closer": 10, "closest": [10, 12], "co": 7, "code": 1, "coeffici": [3, 4, 6, 7, 8, 10, 11, 12, 14], "color": 1, "combin": 16, "combint": 3, "come": 1, "command": 1, "common": 1, "compar": [1, 14], "compens": 5, "compensate_sensor": 5, "compensate_simulator_sensor": 1, "compensated_tsim": 1, "compensation_g": 1, "compensation_transform": [], "comput": [0, 1, 3, 4, 5, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17], "compute_local_system": 14, "compute_mixed_state_of_subset": 15, "compute_polytop": [5, 10, 12], "compute_polytope_for_st": 3, "compute_transition_equ": [3, 4, 10], "concis": 1, "conduct": [14, 16], "config": 5, "config_nois": 16, "config_peak": [1, 16], "configur": [1, 3, 9, 13, 14, 15, 16], "configurt": 14, "consecut": 14, "consid": [3, 13, 16], "consin": 7, "constain": 10, "constant": [0, 1, 4, 9, 14], "construct": 12, "constructor": 1, "contain": [5, 10, 12], "control": 1, "coordin": [1, 3, 4, 9, 10, 11, 12, 14], "core": [0, 14, 15], "core_basis_indic": 15, "corner": [1, 5, 14], "correct": [1, 14], "correctli": 15, "correl": 8, "correspond": 12, "cosin": 7, "cost": 1, "could": 9, "coulomb": [0, 12], "coupl": [0, 1, 14, 15, 17], "creat": [0, 1, 4, 10, 14, 15, 17], "cross": 1, "csd": [1, 5], "csd_data": [1, 5], "current": [0, 2, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16], "cut": 5, "d": [3, 4, 9, 14], "d_": 7, "data": 5, "dcevic": 1, "dd": 4, "decid": [1, 3], "decor": 7, "decorr": 7, "deep": 10, "deep_search": 10, "default": [1, 3, 9, 10], "defin": [1, 4, 5, 9, 13, 14, 15, 16, 17], "definit": 1, "delta": 8, "demand": 10, "depend": [0, 1, 6, 7, 16], "deploi": 5, "deploy_capacitance_sim": 5, "deploy_sensor_model": 5, "deploy_tunneling_sim": 5, "deriv": [3, 4, 10, 11, 12, 14, 16], "describ": [0, 1, 3, 4, 5, 6, 7, 8, 10, 11, 12, 13, 14, 15, 16, 17], "descript": [11, 14], "detail": [0, 1, 2, 9, 12, 14], "detun": 1, "develop": 0, "deviat": [1, 4, 8], "devic": [1, 3, 4, 6, 9, 10, 11, 12, 14, 15, 17], "dg": 4, "diagon": [4, 14], "diagram": [0, 12], "diamond": [0, 12], "dict": 9, "dictionari": 5, "differ": [1, 3, 5, 6, 9, 10, 13, 14, 15, 16], "difficult": [], "dimens": [1, 7], "dimension": [1, 3, 4, 6, 7, 9, 10, 11, 12, 14], "dimenson": 11, "din": 3, "direct": [1, 10, 14], "directli": [1, 14], "directori": 2, "discard": [3, 10, 12], "discret": 3, "dist": 2, "distanc": [3, 9, 10, 12], "do": [1, 3, 10], "document": [1, 3, 12, 14, 16], "doe": [1, 3, 12, 14], "done": [1, 2, 9, 14], "dot": [0, 1, 3, 4, 11, 12, 13, 14, 16, 17], "drastic": 0, "drawn": [6, 7, 8, 16], "dt": 8, "due": 1, "dure": [13, 16], "dxd": [4, 14], "dxk": 4, "e": [0, 1, 3, 4, 5, 8, 9, 10, 11, 12, 13, 15, 16], "e_i": 14, "each": [1, 3, 4, 9, 10, 12, 13, 14, 16], "earlier": 3, "easi": 5, "easili": 1, "effect": 1, "effici": 3, "either": [9, 14], "elecron": [13, 16], "electron": [1, 3, 4, 9, 13, 14, 15, 16], "eleemnt": 15, "element": [1, 3, 4, 6, 7, 10, 11, 12, 13, 14, 15, 16], "els": [3, 13, 16], "empti": 10, "end": 14, "energi": [0, 1, 3, 9, 10, 12, 13, 14, 15, 16], "enfor": 1, "enough": 1, "enregi": 3, "ensur": [3, 9, 10], "entail": [10, 12, 14], "entir": 15, "entri": [1, 11], "enumer": 3, "enumerate_neighbour": 3, "epsilon": [6, 7, 8, 10], "epsilon_t": 8, "equal": [6, 10], "equat": [3, 4, 10], "equilibrium": 14, "equival": 15, "especi": [10, 12, 14], "estim": 16, "etc": [1, 12], "ev": 3, "even": 14, "ever": 3, "everi": 9, "everywher": [13, 16], "exact": [1, 14, 17], "exactli": [1, 4, 14], "exampl": [0, 1, 2, 5, 14], "except": [1, 10], "exclud": 1, "exist": [0, 1, 15], "exp": 17, "expens": 1, "experi": 1, "explain": 1, "explod": 14, "expm": [13, 15, 16], "extend": [0, 14, 15], "extern": 15, "facet": [1, 3, 5, 9, 10, 12, 13, 14, 16], "factor": [1, 9, 10], "fail": 10, "fals": [3, 5, 9, 10, 11, 14], "far": 14, "farrad": 4, "fast": 16, "feasibl": 12, "featur": 1, "few": [0, 1], "figur": 1, "figures_scipost": 1, "filter": 3, "final": [0, 1, 7, 9, 14, 15], "find": [2, 10, 14], "find_boundary_intersect": 10, "find_state_of_voltag": 10, "first": [0, 1, 10, 14, 15, 17], "fit": 1, "flank": 1, "flat": 1, "flexibl": 1, "float": [3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17], "folder": [2, 5], "follow": [0, 1, 14], "fontsiz": 1, "form": 10, "forward": 1, "found": [10, 12], "frac": 8, "from": [1, 3, 4, 5, 6, 7, 8, 9, 10, 14, 15], "fulfil": [3, 4, 9], "full": [0, 1, 3, 4, 10, 11, 12, 14, 15], "fulli": [9, 10], "function": [0, 1, 3, 4, 5, 7, 9, 10, 13, 15, 16], "further": 1, "g": [3, 4, 5, 9, 13, 16], "g_max": [1, 16], "gaa": 1, "gap": 9, "gate": [1, 3, 4, 5, 7, 9, 10, 11, 12, 13, 14, 15, 16, 17], "gate_lev": 17, "gate_offset": 17, "gaussian": [8, 16], "gca": 1, "gener": [0, 1, 3, 4, 8, 13, 14, 15, 16], "generate_csd": 5, "get_compensated_sim": 5, "get_csd_data": 1, "get_csd_stat": 1, "get_maximum_polytope_slack": [10, 12], "get_plot_arg": 5, "get_polytop": 1, "get_tunnel_matrix": [14, 17], "get_virtualised_sim": 5, "give": [1, 4], "given": [1, 3, 4, 5, 7, 9, 10, 11, 12, 13, 14, 15, 16, 17], "good": 14, "govern": [1, 4], "grid": [1, 14], "ground": [0, 1, 3, 9, 10, 13, 14, 15, 16], "group": 3, "guess": [1, 5, 10, 14], "h": [13, 14, 15, 16], "h_": 14, "ha": [1, 3, 11, 12, 13, 16], "hamiltionian": 14, "hamiltonian": [1, 13, 14, 15, 16], "hand": [3, 4], "happen": [1, 5, 9], "have": [0, 1, 3, 8, 9, 10, 12, 14, 15], "height": 16, "help": 5, "helper": [1, 9], "here": [1, 3, 4, 10, 11, 12, 14, 17], "high": [1, 12], "higher": [8, 14], "hint": 10, "hold": [9, 14], "how": [0, 1, 4, 8, 14], "howev": 10, "i": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17], "id": [1, 3, 4], "identifi": [1, 10, 12, 13, 16], "ignor": 15, "ij": [7, 14, 17], "ijk": 7, "imag": 1, "implement": [0, 3, 4, 8, 10, 11, 12, 14, 16], "import": [0, 1], "improv": [0, 1], "includ": [0, 1, 3, 10, 14, 15], "inclus": [10, 12], "increas": [1, 14], "indentifi": 15, "independ": [6, 7, 8, 13, 14, 16], "independnet": 8, "index": [1, 17], "indic": [1, 9, 15, 17], "ineffici": 3, "inequ": [3, 4, 9, 10], "info": [9, 14], "inform": [3, 9, 10, 11, 13, 14, 15, 16], "init": 14, "initi": [1, 3, 4, 5, 7, 10, 13, 16], "inli": 15, "inner": 1, "inner_dot": 5, "input": 3, "insid": [1, 3, 9, 13, 16], "inside_st": 10, "inspect": 10, "instanc": 11, "instanti": 8, "instead": 3, "int": [3, 4, 5, 6, 8, 9, 10, 11, 12, 13, 14, 15, 16], "integ": [4, 5, 14], "integr": [13, 16], "intend": [13, 16], "inter": 12, "interact": [1, 4], "interdot": [1, 4], "interest": 1, "interfac": [5, 13, 14, 16], "intern": [1, 3, 4, 9, 10, 13, 15, 16], "interpret": [1, 3, 4], "intersect": [10, 14], "introduc": 1, "invers": [1, 13, 14, 15, 16], "invert": [9, 10, 12, 14], "invertible_transform": 9, "invoc": 16, "ipynb": 1, "ipython": [1, 2], "iter": [3, 10], "ith": [3, 4, 7, 14], "its": [1, 8, 10, 11, 14], "j": [1, 7, 14, 17], "just": [0, 1, 4, 14], "k": [1, 3, 4, 7, 9, 10, 11, 12, 13, 14, 15, 16, 17], "k_bt": [14, 15], "ke_i": 14, "keep": [1, 10, 12], "kelvin": 14, "kept": [10, 12], "kl": 14, "know": [3, 14], "kx2": 14, "kxk": [9, 15], "kxm": 17, "l": [13, 14, 15, 16], "label": [1, 9, 10, 11, 13, 14, 15, 16], "larg": [1, 10, 14], "larger": [3, 4], "largest": 16, "last": [1, 14], "later": [1, 9], "latter": 0, "layz_slic": 3, "lazy_slic": 9, "lazyili": 9, "lead": [0, 1, 14], "leav": 1, "left": [1, 7, 14], "length": 15, "less": [8, 13, 16], "let": [14, 17], "level": [0, 1], "li": 14, "like": [1, 10, 15], "limit": 3, "line": [1, 12], "linear": [1, 3, 4, 6, 7, 8, 9, 10, 11, 12, 13, 14, 16, 17], "linspac": 1, "list": [1, 3, 4, 5, 10, 11, 12, 14, 15], "live": 11, "local": [0, 1, 14], "local_system": 14, "localsystem": 14, "locat": [1, 3], "locla": 14, "log": 5, "logic": 0, "long": [13, 15, 16], "look": [0, 1], "lot": [3, 10, 12, 14], "low": 1, "lower": [1, 3, 4, 14], "lxk": [13, 16], "lxl": [13, 15, 16], "lxn": [13, 16], "m": [1, 2, 3, 4, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17], "m_comp": 1, "mai": 3, "main": 0, "make": [0, 1, 2, 4, 14], "mani": [1, 8, 14], "map": 17, "mark": 9, "match": 10, "matplotlib": 1, "matric": 1, "matrix": [0, 1, 3, 4, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17], "mawel": 4, "max": [1, 10], "max_slack": 10, "maximum": [1, 3, 5, 10, 12, 14], "maximum_slack": [3, 10, 12], "maxv": [1, 5, 14], "maxwel": 4, "mean": [7, 10, 12, 14], "measur": [1, 3, 9, 13, 14, 15, 16], "meta": [3, 10, 11, 14], "method": [0, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17], "mid": 1, "middl": 1, "midpoint": 1, "might": [1, 9, 14, 15], "min_n": 10, "min_v": [3, 9, 10], "minim": [1, 15], "minimum": [1, 3, 5, 9, 14], "minv": [1, 5, 14], "miss": [1, 15], "mix": [1, 13, 14, 15, 16], "mixed_st": [13, 15, 16], "model": [0, 1, 3, 4, 5, 6, 7, 10, 12, 13, 14, 16, 17], "modif": 10, "modifi": [1, 3, 14], "more": [1, 3, 8, 12, 13, 14, 15, 16, 17], "moreov": 1, "most": [0, 1, 14, 15, 16], "mostli": 9, "move": [0, 3, 14], "mu": 7, "mu_i": 7, "multipl": [8, 15], "must": [3, 4, 9, 10, 11, 12, 14], "must_verifi": [3, 9], "mxk": [3, 4, 6, 7, 8, 10, 11, 12, 14], "n": [0, 3, 4, 7, 9, 10, 11, 13, 14, 16], "n_1": [3, 4], "n_gate": 1, "n_i": [3, 4], "n_n": [3, 4], "narrow": 1, "need": [0, 1, 3, 4, 9, 10, 12, 13, 14, 16], "neighbour": [1, 3, 10], "never": [3, 9], "new": [1, 3, 4, 10, 11, 12, 14, 17], "new_v": 10, "newli": 6, "next": [0, 1, 6, 7, 8], "next_val": 8, "nois": [0, 1, 6, 7, 8, 13, 15, 16], "noise_model": 7, "noisi": [13, 16], "noisysensordot": [1, 5], "none": [1, 2, 3, 4, 5, 7, 10, 12, 15, 16, 17], "nor": 0, "normal": 4, "note": [0, 1, 3, 4, 6, 10, 12, 13, 14, 15, 16], "notebook": [0, 1, 2], "now": 1, "np": [1, 3, 4, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17], "num_additional_neighbour": [1, 14], "num_dot": [3, 11], "num_el": [6, 8], "num_input": [3, 4, 11], "num_sensor": [5, 13, 16], "number": [1, 3, 4, 6, 9, 10, 11, 12, 14, 17], "numer": [9, 10], "numpi": 10, "nx1": 5, "nxd": 9, "nxk": [3, 4, 9, 10], "nxm": 7, "nxmxk": 7, "nxn": [14, 17], "nxnxk": 17, "object": [1, 3, 4, 5, 6, 7, 8, 10, 11, 12, 13, 14, 16], "obtain": [1, 3], "occup": [1, 5], "off": 14, "offer": 0, "offset": [3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 16, 17], "old_v": 10, "one": [1, 10, 12, 13, 16], "onli": [0, 1, 3, 10, 11, 12, 14, 15], "oper": [1, 14], "optim": 9, "option": [0, 1], "optionali": 1, "order": [0, 1, 10], "origin": [3, 4, 5, 10, 11, 12, 14], "ornstein": 8, "orthogon": 12, "other": [1, 3, 4, 9, 10, 14, 15], "otherwis": [3, 9, 14, 15], "ou": 8, "our": [0, 1], "out": [3, 14, 15], "output": [1, 7], "outsid": [10, 14], "over": [1, 15], "overlai": 1, "overlap": 7, "overwrit": 3, "own": 0, "p": [1, 3, 4, 6, 7, 8, 9, 10, 11, 12, 13, 14, 16, 17], "paramet": [1, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17], "parameter": 17, "part": [1, 4, 5, 14], "pcolormesh": 1, "peak": [1, 16], "peak_width_multipli": [1, 16], "perfectli": 1, "perform": [1, 10], "phase": 7, "pi": 7, "pick": 1, "pip": 2, "place": 14, "plane": 5, "plane_ax": 5, "pleas": 0, "plot": 5, "plot_polytop": 1, "plote": 1, "plottabl": 1, "plt": 1, "plunger": [1, 3, 4, 10, 11, 12, 14, 17], "point": [1, 3, 5, 6, 9, 10, 12, 14, 15, 16], "point_insid": [1, 9], "poly_sim": [1, 14], "polytop": [0, 1, 3, 5, 10, 11, 12, 13, 14, 15, 16], "polytope_sim": 14, "posit": [1, 3, 14, 16], "possibl": [1, 3, 4, 8, 10, 12, 14], "possibli": 6, "possil": 1, "potenti": 1, "power": 1, "practic": [1, 3], "precis": 12, "precomput": [13, 16], "precompute_sensor_st": [13, 16], "present": 1, "previou": [1, 6, 7, 8, 14], "primari": 14, "primer": 0, "print": [1, 5], "print_log": 5, "probabl": 15, "process": [6, 7, 8], "produc": [1, 6], "project": [1, 12], "properti": 15, "proport": 1, "protect": 3, "provid": [0, 1, 2, 3, 4, 10, 13, 16, 17], "proxi": [10, 11, 12, 14], "prudent": 15, "public": 1, "pure": [0, 1], "pv": [1, 3, 4, 6, 7, 8, 10, 11, 12, 14, 17], "py3": 2, "python": 2, "python3": 2, "qdart": [0, 1], "quantum": [1, 4, 12, 14, 15], "qubit": 1, "queri": [1, 9, 10, 14, 15, 16], "question": [1, 12], "quick": 0, "quicker": 14, "quickli": [3, 4, 14], "r": 14, "rai": 10, "rais": 10, "ramp": 14, "random": 7, "rang": 14, "raster": 1, "rather": 0, "ratio": 1, "reach": 3, "read": 1, "realist": [0, 1, 4], "realiti": 1, "reason": [9, 15], "recommend": 10, "recomput": [3, 9], "rectangular": 14, "reduc": [10, 12, 14], "refer": [0, 1, 16], "referenc": 15, "reflectometri": 1, "region": 0, "regular": 14, "reiniti": [13, 16], "rel": [1, 14], "rela": 10, "relat": 14, "relev": [1, 3, 13, 15, 16], "reli": 1, "remain": [6, 7, 8, 10, 11, 12, 14], "remov": [1, 3, 9], "render": 5, "renorm": 15, "replac": 0, "repres": [3, 4, 9], "reproduc": 1, "requir": [0, 3, 9, 10, 15], "resolut": [1, 5, 14], "respons": [13, 15, 16], "restart": [6, 7, 8], "restrict": [3, 4, 6, 7, 8, 10, 11, 12, 14], "result": [1, 3, 7, 9, 10, 15], "retain": 3, "return": [0, 1, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17], "rf": 1, "right": [3, 4, 14], "rule": 15, "run": [2, 10, 12, 14], "s_i": [3, 9, 14], "s_j": 14, "safe": [14, 15], "said": 1, "same": [0, 1, 8, 10, 12, 13, 14, 16], "sampl": [6, 7, 8, 13, 15, 16], "sample_sensor_configur": [13, 15, 16], "sample_sensor_equilibrium": [13, 15, 16], "sampled_configur": [13, 15, 16], "scale": [1, 13, 14, 15, 16], "scan": [1, 14], "scratch": 3, "search": [10, 14], "search_ground_st": 14, "second": 1, "see": [1, 3, 12, 14, 15], "seimul": 14, "select": [5, 15], "self": 4, "sensor": [0, 5, 13, 14, 15, 16], "sensor_config": 5, "sensor_detun": 1, "sensor_dot": 1, "sensor_dot_id": 16, "sensor_id": 1, "sensor_model": 1, "sensor_plung": [], "sensor_scan": 14, "sensor_scan_2d": [1, 14], "sensor_sim": [5, 14], "sensor_st": [13, 16], "sensor_valu": [1, 5], "sequenc": [1, 6, 7, 8, 10], "serv": [0, 1], "set": [0, 1, 3, 4, 5, 7, 9, 10, 11, 12, 14, 15], "set_maximum_polytope_slack": [1, 10, 12], "set_polytop": 9, "setup": 5, "sever": [3, 10, 12, 14], "shape": [1, 16], "share": [1, 10, 11, 12, 14, 16], "shift": 1, "sho": [], "shoot": 10, "short": [13, 15, 16], "should": [1, 3, 4, 9, 13, 14, 16], "show": 1, "shown": 0, "side": [3, 4, 9, 16], "sigma": [8, 16], "signal": [1, 5, 13, 14, 15, 16], "signal_noise_scal": 16, "sim": [1, 5, 15], "similar": [1, 14], "similarli": 1, "simpl": [1, 16], "simpli": 1, "simplifi": [0, 1], "simual": 14, "simul": [3, 4, 5, 9, 13, 14, 15, 16, 17], "simultan": 8, "sinc": [1, 3, 10, 15], "singl": [1, 11, 14, 15], "size": [5, 10, 17], "skip": 1, "skip_dot": 1, "slack": [1, 3, 9, 10, 12, 14, 15], "slice": [0, 3, 4, 6, 7, 8, 9, 10, 11, 12, 13, 14, 16, 17], "sliced_csim": 1, "sliced_sim": 1, "sliced_tsim": 1, "slight": 4, "slow": 16, "slow_noise_gen": 16, "slower": 14, "small": [1, 10, 15, 16], "smaller": [3, 4], "snesor": 1, "snoth": 3, "so": [0, 1, 6, 7, 8], "solver": 3, "some": [0, 9, 10, 14, 15], "sometim": 10, "somewher": 3, "sourc": 16, "space": [1, 3, 4, 9, 10, 11, 12, 14, 15, 16], "span": [5, 14, 15], "special": 0, "specif": 10, "specifi": 5, "speed": [4, 14], "spin": 1, "sqrt": 8, "stabil": [0, 12], "stai": 1, "standard": [1, 8], "start": [0, 6, 10, 14], "start_measur": [13, 16], "start_new_measur": 14, "start_sequ": [6, 7, 8], "state": [0, 1, 3, 4, 5, 9, 10, 11, 12, 13, 14, 15, 16], "state_from": [4, 10], "state_hint": 10, "state_hint_lower_left": 14, "state_list": [3, 4, 10], "step": [0, 1, 8, 9], "still": [1, 13, 16], "store": [1, 3, 6, 9, 15, 17], "straight": 1, "strongest": 1, "sub": 15, "subject": 0, "subset": 15, "subset_indic": 15, "subspac": [3, 4, 6, 7, 8, 10, 11, 12, 13, 14, 15, 16, 17], "subtract": [1, 14], "suffici": 3, "suitabl": 10, "sum": 15, "sum_j": 7, "suppli": [1, 3, 7, 13, 14, 16], "support": [10, 11, 14], "symmetr": 1, "system": [0, 1, 3, 4, 9, 10, 11, 12, 13, 14, 15, 16], "t": [1, 4, 7, 8, 9, 10, 14], "t_": 14, "t_c": 8, "t_ij": [1, 17], "take": [1, 3, 5, 10, 12, 13, 14, 15, 16, 17], "taken": [13, 16], "talk": 1, "target": [1, 10], "target_st": [1, 5], "target_stat": 5, "target_transit": 5, "tc": 8, "temperatur": [1, 13, 14, 15, 16], "tend": 14, "tensor": [1, 7], "term": 7, "than": 3, "thateveryth": 9, "thei": [0, 1, 3, 9, 15], "therefor": [1, 9, 14], "therein": [13, 16], "thermal": [13, 16], "thi": [0, 1, 3, 4, 5, 7, 8, 9, 10, 12, 13, 14, 15, 16, 17], "thing": 1, "third": 1, "those": [0, 3, 14], "three": 1, "through": [0, 3, 4, 5, 10, 11, 12, 14], "throw": 10, "thu": [1, 3, 4, 9, 13, 14, 16], "ti": 14, "tightli": 15, "time": [6, 8, 10, 12, 13, 14, 15, 16], "todo": 9, "togeth": [1, 10], "tood": 3, "tool": [10, 15], "top": 1, "touch": [3, 9, 10, 12], "track": 12, "transform": [1, 3, 4, 6, 7, 8, 9, 10, 12, 14, 17], "transform_c_g": 4, "transit": [1, 3, 5, 9, 10, 12, 13, 16], "transition_sim": 5, "tri": 1, "tricki": 10, "trnsformat": [3, 4, 10, 11, 12, 14], "true": [5, 9, 10, 14, 15], "truth": 10, "try": 14, "tune": [1, 12], "tunnel": [0, 5, 14, 15, 17], "tunnel_coupl": 1, "tunnelbarriermodel": 14, "tunneling_config": 5, "tunneling_sim": [1, 5], "tunneling_simul": [], "tutori": [2, 5], "tv": [3, 9, 17], "two": [0, 1, 11, 14, 16, 17], "type": [3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 14, 15], "typic": 1, "u": 0, "ue": 5, "uhlenbeck": 8, "unchang": [6, 7, 8, 10, 11, 12, 14], "under": 0, "underli": [1, 14], "unifi": 14, "uniformli": 7, "uniqu": 3, "unlik": 14, "up": 14, "updat": 3, "upper": 14, "us": [0, 1, 3, 4, 5, 10, 13, 14, 15, 16], "usag": [0, 2, 5], "use_sensor_sign": 5, "use_virtual_g": 5, "user": [1, 3, 7, 9, 13, 16], "v": [0, 1, 3, 4, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17], "v_end": 14, "v_ij": 14, "v_offset": 5, "v_start": 14, "v_start_state_hint": 14, "valid": [3, 4, 13, 16], "vallei": 16, "valu": [1, 4, 6, 7, 10, 12, 13, 14, 16], "vari": 1, "variabl": [1, 3, 4, 6, 9, 14], "vector": [1, 6, 7, 10, 11, 13, 14, 15, 16, 17], "veri": [0, 1], "verif": [3, 9], "verifi": [3, 9, 14], "verify_polytop": 3, "versa": 14, "version": 2, "via": [1, 2, 3, 4, 9, 13, 14, 16], "vice": 14, "virtual": [1, 5, 12], "virtualis": 5, "visibl": 1, "volag": 5, "voltag": [0, 1, 3, 4, 5, 6, 7, 9, 10, 11, 12, 13, 14, 15, 16, 17], "w": [7, 17], "w_": 7, "w_00": 14, "w_ij": [14, 17], "w_m": 14, "wa": [1, 14], "wai": [9, 14], "want": [1, 3], "we": [0, 1, 6, 8, 9, 10, 13, 14, 16], "weight": 7, "well": [1, 9, 11], "what": [1, 12], "when": [1, 3, 10, 12, 14], "where": [1, 2, 3, 4, 7, 8, 10, 11, 12, 13, 14, 15, 16, 17], "whether": [5, 9, 10, 11, 12, 14], "which": [1, 3, 4, 5, 6, 7, 9, 10, 11, 12, 13, 14, 15, 16], "while": [14, 16], "white": 16, "whl": 2, "whole": [13, 16], "wide": 1, "wider": 1, "width": 1, "within": [1, 10], "without": 9, "work": [1, 14], "would": [3, 5], "wrong": 14, "x": [1, 3, 4, 5], "x_voltag": 5, "xlim": 1, "xout": 5, "y": [1, 5], "y_voltag": 5, "ylim": 1, "you": [1, 2, 14], "your": 0, "yout": 5, "zero": [1, 14]}, "titles": ["API", "API Usage Tutorial", "QDarts", "qdarts.capacitance_model.AbstractCapacitanceModel", "qdarts.capacitance_model.CapacitanceModel", "qdarts.experiment.Experiment", "qdarts.noise_processes.AbstractNoiseProcess", "qdarts.noise_processes.Cosine_Mean_Function", "qdarts.noise_processes.OU_process", "qdarts.polytope.Polytope", "qdarts.simulator.AbstractCapacitiveDeviceSimulator", "qdarts.simulator.AbstractPolytopeSimulator", "qdarts.simulator.CapacitiveDeviceSimulator", "qdarts.tunneling_simulator.AbstractSensorSim", "qdarts.tunneling_simulator.ApproximateTunnelingSimulator", "qdarts.tunneling_simulator.LocalSystem", "qdarts.tunneling_simulator.NoisySensorDot", "qdarts.tunneling_simulator.TunnelBarrierModel"], "titleterms": {"abstractcapacitancemodel": 3, "abstractcapacitivedevicesimul": 10, "abstractnoiseprocess": 6, "abstractpolytopesimul": 11, "abstractsensorsim": 13, "api": [0, 1], "approximatetunnelingsimul": 14, "capacit": 1, "capacitance_model": [3, 4], "capacitancemodel": 4, "capacitivedevicesimul": 12, "charg": 1, "class": 0, "compens": 1, "compon": 0, "construct": 1, "cosine_mean_funct": 7, "creation": 1, "data": 0, "diagram": 1, "document": 2, "experi": [0, 5], "instal": 2, "interfac": 0, "localsystem": 15, "noise_process": [6, 7, 8], "noisysensordot": 16, "ou_process": 8, "plot": 1, "polytop": 9, "qdart": [2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17], "sensor": 1, "simul": [0, 1, 10, 11, 12], "slice": 1, "stabil": 1, "tunnel": 1, "tunnelbarriermodel": 17, "tunneling_simul": [13, 14, 15, 16, 17], "tutori": 1, "usag": 1}})
\ No newline at end of file
diff --git a/QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/docs/simulator.html b/QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/docs/simulator.html
new file mode 100644
index 0000000..a37a4e5
--- /dev/null
+++ b/QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/docs/simulator.html
@@ -0,0 +1,109 @@
+<!DOCTYPE html>
+
+<html lang="en" data-content_root="./">
+ <head>
+ <meta charset="utf-8" />
+ <meta name="viewport" content="width=device-width, initial-scale=1.0" /><meta name="generator" content="Docutils 0.18.1: http://docutils.sourceforge.net/" />
+
+ <title>Simulator — QDarts documentation</title>
+ <link rel="stylesheet" type="text/css" href="_static/pygments.css?v=61cd365c" />
+ <link rel="stylesheet" type="text/css" href="_static/alabaster.css?v=12dfc556" />
+ <script src="_static/documentation_options.js?v=5929fcd5"></script>
+ <script src="_static/doctools.js?v=9a2dae69"></script>
+ <script src="_static/sphinx_highlight.js?v=dc90522c"></script>
+ <link rel="index" title="Index" href="genindex.html" />
+ <link rel="search" title="Search" href="search.html" />
+ <link rel="next" title="API" href="api.html" />
+ <link rel="prev" title="Welcome to QDarts’s documentation!" href="index.html" />
+
+ <link rel="stylesheet" href="_static/custom.css" type="text/css" />
+
+
+
+
+
+ </head><body>
+
+
+ <div class="document">
+ <div class="documentwrapper">
+ <div class="bodywrapper">
+
+
+ <div class="body" role="main">
+
+ <section id="simulator">
+<h1>Simulator<a class="headerlink" href="#simulator" title="Link to this heading">¶</a></h1>
+<p>Lorem Ipsum.</p>
+</section>
+
+
+ </div>
+
+ </div>
+ </div>
+ <div class="sphinxsidebar" role="navigation" aria-label="main navigation">
+ <div class="sphinxsidebarwrapper">
+<h1 class="logo"><a href="index.html">QDarts</a></h1>
+
+
+
+
+
+
+
+
+<h3>Navigation</h3>
+<ul class="current">
+<li class="toctree-l1 current"><a class="current reference internal" href="#">Simulator</a></li>
+<li class="toctree-l1"><a class="reference internal" href="api.html">API</a></li>
+</ul>
+
+<div class="relations">
+<h3>Related Topics</h3>
+<ul>
+ <li><a href="index.html">Documentation overview</a><ul>
+ <li>Previous: <a href="index.html" title="previous chapter">Welcome to QDarts’s documentation!</a></li>
+ <li>Next: <a href="api.html" title="next chapter">API</a></li>
+ </ul></li>
+</ul>
+</div>
+<search id="searchbox" style="display: none" role="search">
+ <h3 id="searchlabel">Quick search</h3>
+ <div class="searchformwrapper">
+ <form class="search" action="search.html" method="get">
+ <input type="text" name="q" aria-labelledby="searchlabel" autocomplete="off" autocorrect="off" autocapitalize="off" spellcheck="false"/>
+ <input type="submit" value="Go" />
+ </form>
+ </div>
+</search>
+<script>document.getElementById('searchbox').style.display = "block"</script>
+
+
+
+
+
+
+
+
+ </div>
+ </div>
+ <div class="clearer"></div>
+ </div>
+ <div class="footer">
+ ©2024, Oswin Krause, Jan Krzywda, Weikun Liu, Evert van Nieuwenburg.
+
+ |
+ Powered by <a href="https://www.sphinx-doc.org/">Sphinx 7.3.7</a>
+ & <a href="https://alabaster.readthedocs.io">Alabaster 0.7.16</a>
+
+ |
+ <a href="_sources/simulator.rst.txt"
+ rel="nofollow">Page source</a>
+ </div>
+
+
+
+
+ </body>
+</html>
\ No newline at end of file
diff --git a/QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/examples/__init__ .py b/QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/examples/__init__ .py
new file mode 100644
index 0000000..e69de29
diff --git a/QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/examples/api_tutorial.ipynb b/QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/examples/api_tutorial.ipynb
new file mode 100644
index 0000000..a1fa883
--- /dev/null
+++ b/QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/examples/api_tutorial.ipynb
@@ -0,0 +1,465 @@
+{
+ "cells": [
+ {
+ "cell_type": "code",
+ "execution_count": 1,
+ "id": "a384e681-3052-4135-b026-0d7b17cc258e",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "%load_ext autoreload\n",
+ "%autoreload 2\n",
+ "\n",
+ "# add Code folder, if the package is not installed.\n",
+ "import sys\n",
+ "sys.path.append('../src')"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 2,
+ "id": "000937df-d546-41a4-b067-e2994fcdb2b3",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "# import main class and plotting function\n",
+ "from qdarts.plotting import plot_polytopes\n",
+ "\n",
+ "# import standard libraries\n",
+ "import numpy as np\n",
+ "import matplotlib.pyplot as plt\n",
+ "import matplotlib.gridspec as gridspec"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "088bd49e-1cd2-45e0-82b3-d3d683f744c7",
+ "metadata": {},
+ "source": [
+ "### Construction\n",
+ "\n",
+ "First we need to define the layout and capacitance parameters of the device.\n",
+ "\n",
+ "We start by defining the dot and plunger layout of the device. \n",
+ "Not all of this is relevant for the simulator, but it will help us greatly\n",
+ "in keeping track of what the indices mean.\n",
+ "our device is a device with 6 dots, with three inner dots and three sensor dots.\n",
+ "We assume that the device is in a triangle formation, where the three inner dots form\n",
+ "an equilateral triangle and behind each dot is another sensor dot. Additionally,\n",
+ "we will have three barrier gates, between the three inner dots that modify the tunnel-coupling\n",
+ "between the inner dots. \n",
+ "\n"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 3,
+ "id": "47dd6aad-b503-4750-81b2-ec0f5a5d779c",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "# Define the system\n",
+ "\n",
+ "N_dots = 6 #number of dots\n",
+ "N_gates = 9 # 6 dot plungers + 3 barrier gates\n",
+ "inner_dots = [0,1,2]\n",
+ "sensor_dots = [3,4,5]\n",
+ "\n",
+ "dot_plungers = [0,1,2]\n",
+ "barrier_plungers = [3,4,5]\n",
+ "sensor_plungers = [6,7,8]\n"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "6923460d-67fb-4c70-ae7d-eb2eb9224b67",
+ "metadata": {},
+ "source": [
+ "Next, we setup the capacitance matrices. These depend on the target device layout. For a device such as this, the number of parameters grows already very large. Feel free to skip the definition of the parameters."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 4,
+ "id": "a640116d-ccbb-4b95-84ad-1ad39e132c14",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "\n",
+ "#All capacitances are given in atto Farrad\n",
+ "\n",
+ "#let us first define the inter-dot dot capacitance matrix. We will first set up\n",
+ "#only one pair and then we will symmetrize the matrix in the end.\n",
+ "C_DD=20* np.eye((N_dots))/2 #The self-capacitance of each dot, NOTE: factor of 2 due to symmetrization\n",
+ "\n",
+ "#capacitances inner dots\n",
+ "C_DD[inner_dots[0],inner_dots[1]] = 10\n",
+ "C_DD[inner_dots[1],inner_dots[2]] = 10\n",
+ "C_DD[inner_dots[2],inner_dots[0]] = 10\n",
+ "\n",
+ "#setup the sensor-dot <->inner dot capacitances.\n",
+ "for i in range(3):\n",
+ " for j in range(3):\n",
+ " if i == j:\n",
+ " C_DD[inner_dots[i], sensor_dots[j]] = 4 #sensor dot closest to the inner dot.\n",
+ " else:\n",
+ " C_DD[inner_dots[i], sensor_dots[j]] = 1.0 #sensor dot further away\n",
+ "\n",
+ "#symmetrize\n",
+ "C_DD = C_DD + C_DD.T\n",
+ "\n",
+ "#dot-gate capacitances.\n",
+ "C_DG = np.zeros((N_dots, N_gates))\n",
+ "#dot to plunger-gate capacitances\n",
+ "for i in range(3):\n",
+ " C_DG[inner_dots[i],dot_plungers[i]] = 11 #ith dot plunger to the ith dot\n",
+ " C_DG[sensor_dots[i],sensor_plungers[i]] = 11 #ith sensor plunger to the ith sensor\n",
+ " C_DG[sensor_dots[i],dot_plungers[i]] = 1.5 #ith dot plunger to the ith sensor (cross-talk)\n",
+ " \n",
+ "#further cross-talk inner dot plungers -> sensor for the plungers that are further away\n",
+ "C_DG[sensor_dots[0],dot_plungers[1]] = 0.5\n",
+ "C_DG[sensor_dots[0],dot_plungers[2]] = 0.5\n",
+ "C_DG[sensor_dots[1],dot_plungers[0]] = 0.5\n",
+ "C_DG[sensor_dots[1],dot_plungers[2]] = 0.5\n",
+ "C_DG[sensor_dots[2],dot_plungers[0]] = 0.5\n",
+ "C_DG[sensor_dots[2],dot_plungers[1]] = 0.5\n",
+ "\n",
+ "#cross-talk inner dots <-> dot plungers for the plungers that are further away\n",
+ "C_DG[inner_dots[0],dot_plungers[1]] = 1.5\n",
+ "C_DG[inner_dots[0],dot_plungers[2]] = 1.5\n",
+ "C_DG[inner_dots[1],dot_plungers[0]] = 1.5\n",
+ "C_DG[inner_dots[1],dot_plungers[2]] = 1.5\n",
+ "C_DG[inner_dots[2],dot_plungers[0]] = 1.5\n",
+ "C_DG[inner_dots[2],dot_plungers[1]] = 1.5\n",
+ "\n",
+ "#cross-talk barrier gates <-> inner dots\n",
+ "C_DG[inner_dots[0],barrier_plungers[0]] = 1.2\n",
+ "C_DG[inner_dots[0],barrier_plungers[1]] = 0.8\n",
+ "C_DG[inner_dots[0],barrier_plungers[2]] = 1.2\n",
+ "\n",
+ "C_DG[inner_dots[1],barrier_plungers[0]] = 1.2\n",
+ "C_DG[inner_dots[1],barrier_plungers[1]] = 1.2\n",
+ "C_DG[inner_dots[1],barrier_plungers[2]] = 0.8\n",
+ "\n",
+ "C_DG[inner_dots[2],barrier_plungers[0]] = 0.8\n",
+ "C_DG[inner_dots[2],barrier_plungers[1]] = 1.2\n",
+ "C_DG[inner_dots[2],barrier_plungers[2]] = 1.2\n",
+ "\n",
+ "#cross talk barrier gates -> sensor dots\n",
+ "C_DG[inner_dots[0],barrier_plungers[0]] = 0.5\n",
+ "C_DG[inner_dots[0],barrier_plungers[1]] = 0.1\n",
+ "C_DG[inner_dots[0],barrier_plungers[2]] = 0.5\n",
+ "\n",
+ "C_DG[inner_dots[1],barrier_plungers[0]] = 0.5\n",
+ "C_DG[inner_dots[1],barrier_plungers[1]] = 0.5\n",
+ "C_DG[inner_dots[1],barrier_plungers[2]] = 0.1\n",
+ "\n",
+ "C_DG[inner_dots[2],barrier_plungers[0]] = 0.1\n",
+ "C_DG[inner_dots[2],barrier_plungers[1]] = 0.5\n",
+ "C_DG[inner_dots[2],barrier_plungers[2]] = 0.5"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "60cfc726-e28a-41fc-ad93-98ea6d023c6e",
+ "metadata": {},
+ "source": [
+ "To define the model, we need to introduce lower bound values for each capacitances in order to prevent unbounded polytopes.\n",
+ "We will pick as capcitance model a slight generalization of the constant interaction model that is defined using the capacitances above \n",
+ "and which additionally allows to include deviations from the constant interaction model using a parameter k for each dot. These deviations model a slight change of capacitance values as the number of electrons increases. Larger values lead to smaller effects. Set k to None to disable this feature.\n",
+ "\n",
+ "Using the capacitance model, it is straight forward to define the capacitive simulation."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 5,
+ "id": "d1d28ae4-4ffa-4c29-8d81-c52e292fe531",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "from qdarts.capacitance_model import CapacitanceModel\n",
+ "from qdarts.simulator import CapacitiveDeviceSimulator\n",
+ "\n",
+ "#minimum voltages for each plunger gate. \n",
+ "bounds_limits = -1.0*np.ones(N_gates)\n",
+ "\n",
+ "#deviation from the constant interaction model. Set to None to have no deviation\n",
+ "ks = 4*np.ones(N_dots)\n",
+ "\n",
+ "capacitance_model = CapacitanceModel(C_DG, C_DD, bounds_limits, ks=ks)\n",
+ "capacitive_sim = CapacitiveDeviceSimulator(capacitance_model)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 6,
+ "id": "25f066e1-c481-4443-b327-6a45206d1296",
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ "/home/oswin/miniconda3/envs/devel/lib/python3.11/site-packages/cvxpy/problems/problem.py:1407: UserWarning: Solution may be inaccurate. Try another solver, adjusting the solver settings, or solve with verbose=True for more information.\n",
+ " warnings.warn(\n"
+ ]
+ },
+ {
+ "data": {
+ "text/plain": [
+ "<matplotlib.collections.QuadMesh at 0x7fd1c8705350>"
+ ]
+ },
+ "execution_count": 6,
+ "metadata": {},
+ "output_type": "execute_result"
+ },
+ {
+ "data": {
+ "image/png": "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",
+ "text/plain": [
+ "<Figure size 640x480 with 1 Axes>"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "target_state = [1,1,1,5,5,5]\n",
+ "m = capacitive_sim.boundaries(target_state).point_inside\n",
+ "\n",
+ "P = np.zeros((N_gates,2))\n",
+ "P[0,0] = 1\n",
+ "P[2,1] = 1\n",
+ "\n",
+ "from qdarts.plotting import get_CSD_data\n",
+ "\n",
+ "minV = np.array([-0.02,-0.02])\n",
+ "maxV = np.array([ 0.01, 0.01])\n",
+ "resolution = 100\n",
+ "\n",
+ "sliced_csim, CSD_data, states = get_CSD_data(capacitive_sim, P,m, minV, maxV, resolution, target_state)\n",
+ "\n",
+ "xs = np.linspace(minV[0],maxV[0],resolution)\n",
+ "ys = np.linspace(minV[1],maxV[1],resolution)\n",
+ "plt.pcolormesh(xs,ys,CSD_data.T)\n",
+ "\n"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 7,
+ "id": "93c06d8a-7986-4420-a064-a43145ba91df",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "image/png": "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",
+ "text/plain": [
+ "<Figure size 640x480 with 1 Axes>"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "from qdarts.plotting import get_polytopes, plot_polytopes\n",
+ "\n",
+ "plt.pcolormesh(xs,ys,CSD_data.T)\n",
+ "polytopes = get_polytopes(states, sliced_csim, minV, maxV)\n",
+ "plt.xlim(minV[0],maxV[0])\n",
+ "plt.ylim(minV[1],maxV[1])\n",
+ "plot_polytopes(plt.gca(),polytopes, skip_dots=[3,4,5], fontsize=16)\n",
+ "\n"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "e6ff9f72-a7b6-4e0a-94e2-94e4a2929b8b",
+ "metadata": {},
+ "outputs": [],
+ "source": []
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 15,
+ "id": "c0db7d1e-2a71-4f71-8b67-a7aad289f3fe",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "# Definition of the tunnel couplings in eV \n",
+ "# NOTE: we use the convention that tc is the energy gap at avoided crossing H = tc/2 sx\n",
+ "tunnel_couplings = np.zeros((N_dots,N_dots))\n",
+ "tunnel_couplings[0,1] = 30*1e-6\n",
+ "tunnel_couplings[0,2] = 30*1e-6\n",
+ "tunnel_couplings[1,2] = 30*1e-6\n",
+ "tunnel_couplings = tunnel_couplings+ tunnel_couplings.T\n",
+ "\n",
+ "temperature = 0.1 # 100mK\n",
+ "\n",
+ "from qdarts.tunneling_simulator import NoisySensorDot, ApproximateTunnelingSimulator\n",
+ "\n",
+ "\n",
+ "\n",
+ "sensor_model = NoisySensorDot(sensor_dots) #a model of the sensor dots that just needs which dot has which index\n",
+ "sensor_model.config_peak(g_max = 1.0, peak_width_multiplier = 20) #make the sensor peak broader\n",
+ "tunneling_sim = ApproximateTunnelingSimulator(capacitive_sim, #the underlying polytope simulation\n",
+ " tunnel_couplings, #constant tunnel couplings\n",
+ " temperature, #electron temperature, should be <=200mK\n",
+ " sensor_model) #our sensor model simulation\n",
+ "\n",
+ "capacitive_sim.set_maximum_polytope_slack(5/tunneling_sim.beta) #adding slack to keep more states that are likely to affect the hamiltonian\n",
+ "tunneling_sim.num_additional_neighbours[sensor_dots] = 2 #adding additional states for the sensor dots\n",
+ "\n",
+ "sensor_values = tunneling_sim.sensor_scan_2D(P, m, minV, maxV, resolution, target_state)\n"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 16,
+ "id": "9405f712-f029-4155-8186-83599d58ac61",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "<matplotlib.collections.QuadMesh at 0x7fd1c87b1b10>"
+ ]
+ },
+ "execution_count": 16,
+ "metadata": {},
+ "output_type": "execute_result"
+ },
+ {
+ "data": {
+ "image/png": "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",
+ "text/plain": [
+ "<Figure size 640x480 with 1 Axes>"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "plt.pcolormesh(xs,ys,sensor_values[:,:,2].T)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 17,
+ "id": "ed0c88f3-7f0e-40ee-8127-9d6a6895dc8e",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "image/png": "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",
+ "text/plain": [
+ "<Figure size 640x480 with 1 Axes>"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "plt.pcolormesh(xs,ys,sensor_values[:,:,2].T)\n",
+ "polytopes = get_polytopes(states, sliced_csim, minV, maxV)\n",
+ "plt.xlim(minV[0],maxV[0])\n",
+ "plt.ylim(minV[1],maxV[1])\n",
+ "plot_polytopes(plt.gca(),polytopes, skip_dots=[3,4,5], fontsize=16)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 32,
+ "id": "8d00ce36-4eda-47a2-81f5-08e47af8cb57",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "image/png": "iVBORw0KGgoAAAANSUhEUgAAAlQAAAGiCAYAAAAhu1iwAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjkuMSwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/TGe4hAAAACXBIWXMAAA9hAAAPYQGoP6dpAAC4cUlEQVR4nOzdZ1hU19qH8XuGYSjSFSlKVQGxgIoC9oLdGI3pvedN1BRTzUk/JycnvSfGNNNMscQWe+/Yu4gFBZSm9DpMeT+gg+MMClKG8vxy7SuyZ5dnCvBn7bXXUhgMBgNCCCGEEOK6Ka1dgBBCCCFEUyeBSgghhBCiliRQCSGEEELUkgQqIYQQQohakkAlhBBCCFFLEqiEEEIIIWpJApUQQgghRC1JoBJCCCGEqCUJVEIIIYQQtSSBSgghhBCilhokUH355ZcEBgZib29PdHQ0O3bsuOr2c+bMISwsDHt7e7p168bSpUtNHp8/fz4jRoygdevWKBQK9u3bZ3aM0tJSJk+eTOvWrXFycmLSpElkZGTU5dMSQgghhAAaIFD9+eefTJs2jddff509e/YQERHByJEjyczMtLj91q1bueOOO3jooYfYu3cvEyZMYMKECRw6dMi4TVFREf379+fdd9+t8rzPPPMMixcvZs6cOWzYsIFz585x00031fnzE0IIIYRQ1PfkyNHR0fTu3ZsvvvgCAL1ej5+fH1OnTuWll14y2/62226jqKiIJUuWGNfFxMQQGRnJjBkzTLY9ffo0QUFB7N27l8jISOP6vLw8PD09mT17NjfffDMACQkJdO7cmW3bthETE1MPz1QIIYQQLZWqPg+u0WjYvXs306dPN65TKpXExcWxbds2i/ts27aNadOmmawbOXIkCxYsqPZ5d+/eTXl5OXFxccZ1YWFh+Pv7VxmoysrKKCsrM36t1+vJzs42XlYUQgghRONnMBgoKCjA19cXpbLhuorXa6A6f/48Op0OLy8vk/VeXl4kJCRY3Cc9Pd3i9unp6dU+b3p6Omq1Gjc3t2of55133uHNN9+s9jmEEEII0XilpKTQvn37BjtfvQaqpmT69OkmLWN5eXn4+/sz2OsBVEp1/RdQv1dexbXo9dauwEgbUPEHhWdbF7797TGOHj7L3f8srPfzGppLQ2xTfB5NsWZLmuLzqEXNfQYeAeDV8On4OvgydfczvNd+9XUfT1nH3ZqVdfyG2Cgad32X5BfqCeh5Gmdn53o5flXqNVC1adMGGxsbs7vrMjIy8Pb2triPt7d3jbav6hgajYbc3FyTVqqrHcfOzg47Ozuz9SqlWgJVi9B4ApUqrQCAgrQCMpPziY7pjNeWTVwoLjbZztAALdlNMmQ1xZotaYLPo0l+Xiyp5vPYmtQNgC85wZdDw4lyf4RWTmvMtrOpZreRug5Uls/R2ENW3R2vobvr1Ou7p1ar6dWrF2vWVH7A9Ho9a9asITY21uI+sbGxJtsDrFq1qsrtLenVqxe2trYmxzl27BjJyck1Oo4Q1vbVv+aCAl4fN9TapQghqrAkKYESbTl3hHa3dinCiur9kt+0adO47777iIqKok+fPnzyyScUFRXxwAMPAHDvvffSrl073nnnHQCeeuopBg0axIcffsjYsWP5448/2LVrFzNnzjQeMzs7m+TkZM6dOwdUhCWoaJny9vbG1dWVhx56iGnTpuHh4YGLiwtTp04lNjZW7vATTUrC3tNkpGQzNLQDaqUSTSO6NCmEqLTyzHHGB3emqLAzeu1Ra5cjrKDe2xdvu+02PvjgA1577TUiIyPZt28fy5cvN3Y8T05OJi0tzbh93759mT17NjNnziQiIoK5c+eyYMECunbtatxm0aJF9OjRg7FjxwJw++2306NHD5NhFT7++GPGjRvHpEmTGDhwIN7e3syfP7++n+71UyjMF9EyabUmy/f//huVUslLAwdidwHjIqpgsLCIBqEwmC/NmSpHZVw+WL0FABuXF8kzlJss1aW38J9oOup9HKqmKj8/H1dXV+J8HmuYPlSWyFvTcBp5y8/vJz7A3lZF9HNfGNeVetb/eVtan5hGpSnWbEGT/AxVs2a9yvRn9NqHH8TftRWp5/xN1nvU4ndIy+uoXvvj5RfocA85RV5eHi4uLnVQVfXIXH5CNAGzVu/CXm3LvUN7WbsUIUQVfty9B4XCFqdWD1u7FGEFEqiEaAJ+XLOLUk05D8b1tnYpQogq/LJ3HwaDBmcnCVQtkQQqIZoAr+0FrFy4D3cnByY5tMNre0GDnLel9YlpVKQvmPVU87VXahVmS0rRbmxs/NlS1p8VRR1ZUdSxVqXUdb8qPQazpTZ0Br3ZUrv6mm4/MglUQjQRMz9dhU6n5+GpcdfeWAhhFTvPV9wc1bvN/1m5EtHQJFAJ0URoNFriNyXi086d0HBfa5cjhLAgR3OKYt0FApz6WbsU0cAkUAnRhHz27lIAprwwxsqVCCGqkpC7CJXSnmBnaU1uSSRQCQGgVJovjYhN2gVs0i6Qd+gMR/ecJqSzD96tnFDoMFlEFaQ/ktW0tH54HxwazgObz6Ez6Gnv+DgfHBqOzmAwW0T1NZV+VY3rt4YQ4pq+ePkvAN4aJ3/9CtEYafR69l1IpZOLJ25qe2uXIxpIvU89I+pO2/Ye/BT/psm6n95bwh+frjDb1qGVHbdOHUH/MRF4+rpTWqLh2N4zzP9mLfu3JNZpXe06tKXXwDA6dvenYzc//Dt5YaOyqbK22urQpT29hnSmx4BQAkJ9cHZrRUlRGWeOpbFh4W6W/bYFndb8L5hbJg/nwZfHm6y7L/p1MlOz67zG+pR05ByppzLp3zEAB1sVJeVaa5ckhLjCJ4fX8sug+3k6fCjwxTW3F02fBKrG7MrpZy5+XVJUxuZ/9gGQdOSs2W6urZ344O+nad/BiwvpecSvPoR7G2eihnQmakhnvnltHot+3FhnZY67tz8THh5SZ8e7GqWNki9WvghAcWEpifuTyc0qoI2PG517BdI1ugPDbu7DK3d9RVF+icm+pxPOseqveAD6j43EoZVdg9RcJ7SmoenbN+bx1i9P8Orgwfx79mrj+mLv+i/F0iWbJjkadlNk6UqRvPYNo5qvvSbZCYAtydnkRpcwpl03yi6YX493rMWvX0uXvGozwriloRNqM6K6paET6npE9cZIAlUTlJ9dyEfP/Frl40++dwftO3ixd9Mx3rz/G8pKK+aS6j00nNd/fJRH35zEge0nOH30XJ3Uczohjblfr+bkoVROHEzltidHEHdznzo5tiWJ+5OZ89Uq4lceolxTGTQCw3z4z2+TCesZyKOvT+TjZ2eb7LdzzWF2rjkMQPfYjk0rUF1h5+rDnM8vYmyfziaBSgjReCxMSOC+yB7kqgdRrtlg7XJEPWv+kbGF8e/kTd9R3dFpdXzy7G/GMAWwc+0RVv0Vj42NktumjKizc674fRvf/2ch6xfsJvVkBgZ9/XW41Ov0PDXmfTYv2WcSpqAi2H3/9gIABt7YCxtV8/54f7ssHjtbFY+OjrZ2KUIICz7cugW9wUAr5+esXYpoAM37N04L1Hd0dwCO7DxF5tkcs8fXL9gNQPTwrs0ycJw8lAqAvYMaFw8nK1dTv/7auJ+iUg13D+1p7VKEEBYUajQkZGWhUkcA0jm9uWt+v1Hr2HPv38qQsd2wLddgKCg0Luh05ovBYL40sA5d2wOQeCDF4uPH9ycDFZ3W2wW1bbC6Gsql51ReVk5hbrGVq6lfbbfnsvSvHTg72nNn6wDabs+1dklNiwylYDXNeSgFZZnCZPlySzwKhQ1ljs9yvNzOuLQ0LWGKGglU1xAzrhcvfPMIC9O/Zs6Zz/lg2Uvc/tw42vi4Wbs0i7z8WgOQddbynWvFhaXGztpe/q0brK6GcvMTwwCIX33Y7JJgczTryzVoy3Xcf/F5CyEalxWJJ9Dpi2nrfKu1SxH1TDqlX8MdAY8z8r4RxIzuQcfIAMJjOtK1bwj3vTKR8jItaWfOc3D7cdb/vYvDO5OsXS4OThXNyqXFmiq3KSkqo5WLA45OzasJ+q5powmPCqa4sJQf31lk7XIahFarZ9OaIwwe2ZVuPQM4TZ61SxJCXOFC8Qo8W02glW1XisoPWbscUU8kUF1DaWEZy2ZtZNmsymEGeg7pwqBbYwnv0wHfIE8CQn0Yd99A9Do9FzLyOL4/mW3LD7BxyR40ZTJ8dUMYdnMf7nxmFDqdno+f/Y1zSVnWLqnBfPG/JQwa0ZXJL4xh8R+/W7scIcQVknPew7PVBPzdn+do5n3WLkfUEwlU12DQ6dAVFJis27loOzsXbTd+7dPBixH3Dqbn8O4EdG5P7Kju9B0dwbRP7qYor5jTR1LZveYQq37bTFbKBZROrcxPpKrGW1GNPlklhaUA2Duqq9zm0nABxRe3ber6j4vkmQ/vBOCz539n85J9dXNgS9PP6K1/nf4SZV5FH7HivGIO7jhJ9+gOdMtzJSUj12S73JD6H6hIxqayIhmbynosvPaWXvq3k3vyZZss2tr15cPUsejR81PQYrPtbK4ce7AGGvvYVC2B9KGqA2knM/jp9T95qt+rTPB4gBvd7uejR79h+z97KCvREB7TiftencQvRz9i8YXvmLHxVaa8dwfdYjvVeS0ZKRV9pzzbeVh83NHJnlYuDhe3vVDn529ofUdH8OIX96NQKvj8xT9Z+ef2a+/UDH3+yjwAXnpApqMRojFadHYNKqUNN/g2zCDIouFJC1U9KCksZdn3a1n2/VqU9hWtQT2GdGHQzdF0jQ3BN9CTgFBfxl68TJidkUfigRS2rTjAxkW70ZRef2fqk4dS6D82kpDufhYf7xThX1FjURlnT2Ve93kag9iR3Xnpq/tR2ij4YvpfLJ+91dolWc3Z0+c5nZhOz85+ODvaUVBcZu2ShBCXWZGxmYeCb2Gc7xDuD7oJ+NL4WGn++2gKP6/cWNkald0gbOwGo7TtjsLGBzBg0J1FV7aJ8qLvMOhS67Q+haoLNnZ9Udh2RWnbDYVNAAqFEk3uM+hKFtTpuUCBwrYHSvtBKNSxoOoACicwFGAoP4KhZD6GUsv9YJUub6F0vNNknTa9Yx3Xd30kUDWQvesOs3ddxSjdSqdWeAe0Ju7WGHoMDicgxIfYkd3oO6o70z66i6L8Es4kprFnQwJr5u4wtjpVx9blB7jvxRsI7x2Mp687WedMx6IaPKEXAPGrDlmc766piB7elekzHsBGpeSL6X+x7Nct1i7J6mb8eyH/++UxnrtvKK9/vcza5TRK7VxdWDf1IZN1H6/fwtebd5isG9QhkO6+3nTx8aKLd1u8nCvGNBvw2bdkFBTWeV3h3m2JCfCjq09bunh7EeDhhlKh4LmFy1h0KKFOz6UAItv5MKBDILEBfgS39sDJTk1hmYYjGZnMP3CExYctn/PNUcO4o2d3k3Uh//24TutrzvbmHKG3RzcADPoiykuXAqAvP2qynZ3Lq6gcJmIw6NBrj6EvXQ0KR2xsu2Pb6gFUDrdSmvMoes3mOqvN1vlJbOzrbsDnq7LxR91mLgAGfQ6G8kOgz0Nh44fSrj/Y9UdfOg597mSg3GRXg2YvekVFQ4XSYVLD1FtNEqjqkoVxNfQlJRbXpWadZ9auY8y6uM6+lT1Dbu9H7PgoOvUKpnPPILr07sA9z41FU1pOWlImp/afuXgeQHPZh0xta/xncmI6W5cfoO+o7jz94Z28+cBMNBdHS48aEs7wW6PR6fT8+cVKs7rumjaau58dw4Gtx3nxls+u91Wotm6xHXlv7lMAjG43tdr79R4azr++ebAiTL30J8t+a6EtU5e97wAH9iRzPquAuN4hfPrS32gvBubcThb67LXwrhBFGg0rjh4HICHjfOUDF7uNfDhhNC72DXcX7JT+0cSFNsxf2X7urvx53+0A5BSXcCg9g/zSMvzcXOkXFEC/oADGhocydd5iyq/oM7jvbBp2KhsAburepU7ras798PYeCgLg5dTdrLr1UqDKpjh3msl2Nhe/MQ36XDQFH6It/hODPqNyA4Ujdq7/Q+VwI/buX1CcORAM+XVSo16zF732OPryQxjKD2Pr+h42djGm29RZvyoD+rKtaItmYijbDJf1/7JRx2Dj/i1K+6EYWj2Goch0YmlD6d8YSv+uOPcVgepSPzJLdTYECVSNRGmxhmU/rGPZD+uM63qOiGDQLbF07RuKT1BbAjq3A6Ctnwe/HHiH4/vOsH3ZfjYuO2AyTMJnL/yOf4g3PQeG8cOW1zm04yRubZzoFtMRpVLJ16/OtTiPn1JZ8Y2h1dbszsQOXdsz5Z3KMVZ8AtoAMObufkTHVf7Qfeuh78jJrPzmV17s9K0tr/75XFs78cq3D2NrZ0vWuRw6RwXTOSrY4rbfvfU3+TlFNXouTd2smet5/pXxzPj5EV5+5ncyM+rmh21zk1NcwkuLzf+ouGRlwgnOZOdyOD2TwxmZxD/zf/Vaz76z6Rw/f4HDaZkczcjiv+OGEx1g+bJ9bRkMsO10Mt9t38WWpGT0l93s0tu/HTNvncDQTsE82rc3X26ON9n374NH+PvgEaDuA1VLcCL3AlnFRbRtdfVZHDT5b1h+wFBMWe4L2NgNRaF0x8Z+GLqSv+ukNm3RjDo5TrXokinPvtvyY+U70Bd9g43zNJQOE9FdEagaMwlUjdi+9UfZt76yKbhbvxA+WP0q5Rot9o52xIyKIHZ0JE8bDBQVlJCcmM6eDQmsnhPPU6Pf59Ypw+k3NpLYEd0oLdGwe30C879Zw77NiRbP17F7Rf+qlb9vq1Gdjs72hPUMMlvv6euOp6+78WtbtenHrWO3il8YK/6o/vnsHNSo7W2Nxx9+a9Xz2P364dIWF6jCu/lhMBgICPTkt7+fRKPRcraggP2paaxKOMH640loG9Gdio3Vy0tWVX7RAK0kM7ftrP+TXJSSm8d9s+dZfGxn8llmbtvJM4P6MaFruFmgErW34PgRHo3sAwoLLcfVUopeewobdQRKpQ/NcmAebUVox8bHunXUkASqxsLS5cIy02EN0k+mAZCdlsM9wZOxd7Rj0G196Tu+NyFRwYT1CCQ8Kpi7nx2DprSc9NOZHFh3iPV/bWPfusMWh2tQ2FUMr6CytaFbTEcS959hw6I9NSr94LYTNbpkd0nPQWGUFpfx24dLq71PZmr2dZ2ryXNzMVulb2U6fcW7X91LZO8gzp7N4cuvVxEb04luXdvj4+NGYPfOTIgIx2AwkF9Yyqm0C+w8kszybUdJyaoYDLSktXly0Fr4Q9pQzXuDm/MlnEavFkMpHE2vGMPNx6V5z4VZbyy89qr8ym+aP3ce4tHIPiiUzmTrTW9AaqO0vXJXC0MpqFDaVEwxZtBf/caiuh5KocHYBFb8/xrPr7GRQNUEubZx4fkfJgOwaf52Xp/4nvGxiMFdGHx7P7oNCMcnqC3+Ye0Y89BQ9Do9OZn5JO47zfZl+9kwf4fJZcLw3sE4tLLjx7cXNshzUNvb0qV3MPNnriUnq+DaO9SB3sO6MGBcD4BmNXGyWq3i69//j/b+rdm5K4kXp/8JwPb4UwCUtLHF3cWR4X1DiY0MoqO/JxEd29EjpD2PTuhLuVZHenYBB8+ms+bwSdYdPoGmCd+wIGonwMMNgMzCltW621AqW4hVKJUe6PXVv+kIQOV4Gwqb1hgMJWjL1td5fdZnj9LxXgAMpSusXEvNSKBqghyc7Blx/2AAzp5MY/uS3cbH9q8/zP71h1GoKv7S8QrwJO7uAfQa3o3ALn6Vlwk/vZfi/BLOHE9n74YEVs/ZzmifipBmcUDLOqYpLWdCx2fr/TyXCwzzveolwqaotacTM2Y/jrOrA4vn7uTjb9ZY3C4nv5i/lu/lr+V7AdA6KOgZ2p5hUSH0CGlH+7ZujPYMZUyPMAwGAwUlZZzKzGZ7SgqLDxzl5Pkci8cVzYu9SsW9URV/dKw8dsLK1TR/Hi4vcz73uWpvr1CFonZ+GYDygs9Af/4aezQ9Stc3Uaj8MejS0Rd+be1yakQCVROScSaL4cpbarzPb2/P57e356N0aoXa3paBE3vTd0wkIT0CjZcJ73p2DOVl5aSnXODwjlNsWLSHfZuO1dMzsY45X65izperrr1hE9ExzIePvnsAtVrFzI9XMv/37eBW/Vns9xxLZc+xyrFs1H4OjIoIYWBYEGHt2tLN35vIQF/+b0A0Wp2e9PwCDqVlsDbxFCuOHqdU2/wnn25p3hg1FD93VzIKCpmxdce1dxC1oMfJcXy1A5VC6Y29+/colE5oS1dSXvRVPdfX8GycpqB0mITBUIou90kw5Fq7pBqRQNVMGbTlZut0ubmUACu+XsqKryv7LXUb2Jmht/en28DO+AR70b6DF6Pu7FtxmTAjl+N7kti+4iAb5u8wTm0DoHCo4rZyG5u6fjoti4uz2aor+0v1HRzGK+9W3Fn56qvz2Lb1ODir0dmbv/YKC1fvbIvMO3oYEopZlrCPZewzrgsP8SYuNpQenf3w83ZnZOdOjAoP4d0bR1JUoiE5LYc9CaksPpRAwlnT+RM1bubn1Zt3EbGoUfW1MlzxbwNNc9iJa/SreqJfNDd170JpuZan/v6H3BLrT03VXPrhKXSVRSv0Ff/W6Euxs3Fmr/5hkooqwuujrkct76/0xL71bJQqP7Sl6ynLmXzdtTTWKWpsWj2EynkaBkMZ5Tn/h0Gzq/IxRRPo94UEKgEc3HiUgxsrv5HbBrZlxD2D6DWiOwHhfkSP7UnMuF489dl9FBeUkHwsjT1rD7NmwW7SWtAkxI3FLff046En4ygr0/LUk79w4kTGtXe6TodPpHP4RLrxa0d7NUP7hdIvMoiwIC9CAtsS3sGbu8dGodPpycwv5GhKJpsOJ7HoZCLFGs1Vji4aiwf69OTpQX0p02qZPG8Re1LNh1URdatMX4Ra6UA/z3uMgcoiZWvsPX5HqeqArmwTZTmPAs3r+0rpeC8ql39hMJShzXkCQ9lGa5d0XSRQCTNZKRf47b/z+e2/8wFQ26sZfNdAYsf2JKRnIKE9g+jcuwN3vTie8jIt6SkXOLLjBBsX7mHPBst/YYm68fQr4xl1Yw/ycot55JHvyc5u2I7DxaUaFm04xKINh4zrQvw9GTokjN6d/Ahs686Qbh0Y2r0jrxniKNaUc+ZCDrvOnGXpwWPszUi/ytGFNdwTFcn0uEFotFqmzlvCplNnrF1Si2Aw6MkoPYmXfUdU2KPFvEVQofTAweN3lLad0JVtpjT7IaB5TSuldLwHW9c3LoapyejL1l17p0ZKApW4Jk2phtW/b2X175Ujknfp24kht/WjW2xHfAI8ad+hLyPv7Iderycnq4ATB1OIX3WQ9Qt2U1LYvH4AWMu7M+4jMiqI5KQsHr9rBqX2jePbNzE5iwOLKjvH2qtVxHXvRP+eQXRr500nrzaE+3pxb2xPdHo95wuLOZqRyYbjSSw5nEB+afP6a7spuatXBK+OGIJGq2XK/CWsP5lk7ZJalG1ZvzLR/036tr2bjZnfmTymULrj2PoPlLahF8PUgzS/MHUntq5vXham1lq7pFppHD+RRaNi0JkPFacrMB3a4MCKPRxYUTleVVu/NsTdM5CokZEEdvWjz7AuRMd1Zer/bqc4v4SUxIrLhKt/38zZi5eolK0czU+uauQfSUt3QNZmoExn8+Eb9I6m/aXUdiq+njuZ9u092LXzFC8+/weobdA6mPeXKneo274Glvpf2WjM+0y0yrh8nYZ1KYdZ989h45qg9q0Z3i+MXt38CfT1YFDHIAZ3Cua10UMp1WhJycxl/4lzrNyVyJ7jqZS0MT+vzsF8ndX609RinKfG4vae3Xl95NDKMHVCwlRDKii357ltaob7lNGx1VjuOJDIowMutvArXHFs/Ts2tmFoyzZRfME0TJmPTVVJ7foBto63UF48B01e9e8gvF42DpNQu32AXptKWdaAau+ndLgNlctbzSZMgQQqUUcyU84z+7/zmf3f+aBQorZXM/DmaPrd2JuQ3h3o1DOIsN4duPPF8ZRrysk4c54ju5LYsHA3e9YdsXb5jVZrT2dm/PUEzq4OLFywm88+aVrjslySlHqBmX9uQT+vYhJrtUrJgKiODOzZkfBOPgT5eBDi58ktQyLQ6w1cKCrmWFoWm4+f5p/9x7hQWGzlZ1A9/xs3gpsiujB//2FeWlL11DZ1ZWL3cN69YSSpuXkM/fKHau93a2RX3hglYaoxWJ6SwKSg7kS4V44K7uD2Hja24RgMegz6XOzd/muyz6U4pStdia7sys/ZpT+qanYXrtJuCLZOlYMmK1QVc0uqnJ5CdXFcKICyCzdVcT7zG6GqolB1RuX6NgqFEr02BaX9KJT2oyxuq817odrHtTYJVKJeaEo1rP51E6t/3QSA0sGeLjGdGHxrLN37V8xNOLyjNyPu6Iteryc3q4ATB5OJX3WYdQt2yWVCICTclw9+eLBi4M4v1zBvbvO5jV2j1bNmeyJrtidS3qriB7Kfpyuj+oTRp7M/we1b069TAP1DAnlxzCDKtFpScvLYk5rGiiOJbElKrtf6nugfzeCO5tMpzbh1POW6ima7w+mZvLnc9K9q5cWWg5pO7zO4YxBP9K8cI61jGw8Apg6I5e6oSOP6W2f9Uevzdfby5K0xcSgVClJy8xgV1olRYZ0sbtsQobCle+/AWiYFdee5iKGgewMAhdKt4v8KJbYON1S5r0GXahaobGwrJl/WFv9ZozoUSg+U6h5m65WqQCCwyv2UF8+nK/6r+idTuqC4eOeeUtURVFVPDC6BSggLDm8/zuHtx41ft+3oy9Bbo4ka0oXAzr70HtaVPnHdmPK/2ygpLCP5RDr7Nh1jzdydpJ6svzvZGqP+w8J5+d1bwABvPPM7m/edtnZJ9S4lK49v/4nn23/iKWkDKqWSgWFBxIV3JMLPB38PNzq1bcNtPbuhNxjIKS7hWOZ5tpw6w+JDCaQXFNZZLf7urkS2N59HrIuPl/HfZTrzFoBLj8/Zd8jssatxd3Qgsp35+QI83AjArcr9unq3BWDuvsNVbnMlZzs7YxDr0KY1Hdq0rnJbCVT170JZMUkF2fTx9Kc4XQVoKb5w21X3qeqSn0LphdI2BG3pcvTle2tUh65kHiUllud4vBqlXX8MujS0RT9Wex+DJp6yNMuT2jdlCoPBYKk3QIuXn5+Pq6srg7kRlaKag+eIWlGpVQy8pS/9J/QmtHdHWvu6Y6Oq6CdUrtGScSaLI9uOs3FePLu3nrRwAAvjXzXAqO/V7kNlYS5Fg6P5QJyTHh/Cw48NoaxMy5NPzOLUiUzKncw/g+VOtRjvq4n194GKOQS9Wjszol9norsHEOzXBjdnBxQKBQaDgXKtjnPn89mXksbqg8fZlJBkfGvKL06F2M7VhTVPP8TZ3DyGfm5+iaw2fbK8XFqx6clHWZlwnCnzllz/gWpg5eP3Y69SMfzrHynT1tE0udV8DRJffgaAkP9+XDfnrYWmNDZVO1cX1j/xEEUaDcuOV/yBWaTRcF+PHuTn/Zfiwi9MtndUVK/dw0ahQOVwC2rX/1GSNQKDzsLPyBqozthUCpt22LfdjCb3JXQlV28Ru56xqSwex+EmlOoYFAoFSodJAGjTTVu48gv0tA5JIi8vDxcX83lQ64u0UIlGQ6vRsnb2ZtbO3mxcFx4bwrC7B9Ktfxi+HbwYfo83I+4diF5vIPd8PicPpBC/8gDr5u2guLj61/Abq6dfv5GRE3uRl1vMw/fPJDenafQdaigZFwr4ZdEOfllUcfnT4KAgumsgQ3p1IqKjL76ergR4uzOhTxcMBgN5xaWcSL/AluRklhw4iv7in49ujg68M34EACuPnmDd8VO1rq1fUABavZ6P1m+p9bGqo52rC4Ee7vzrn1V1F6auYWK3cKID2jfIuZq7Vmo1N3fpAsCHW7ZQptXi2Oo+s0BVE9qSOWhL5tRViddk0J2lJM380nh9Utr2xMbx5gY9Z3VJC1UVpIXKSiyMiKtUq43/bu3jRtxd/Yka3YOgzu1wcnM0tlCUFJWRcrziMuHqOfGknshoUi1U7377ABF9gkk+fZ5HH/oWbXnlcaWFqqKF6ko6O/Mn0iqwFWN6htEvNIAQX088nByNl7g0Wh3qK1oyP1m3ha83XwxotXldmuBratFVnsebo4ZxR8/uJuukher66OxNf/V+fcMNjOjQkayMAeh1lQG/Ji1Udak2o6dbPl7d1ne10dOt1UIlgaoKEqiaBpVaxYBJMfSf2IfQPp1oc8Vlwszk8xzZnsjGufHsWL4PAIWj+XANCju12TqLqjtsgqXw5GB+Dp2LA/b2Kmb8+Ajt/DzYGX+S51+fa7adxqUBGpOb4C+l6urVxY8hMSFEhLWjnZcbdmqVMYgXFJWRdO4Cuw+nsOhQAqczTCeCLvMwP56lKXQs/lJviq9pU6zZgsYesq78AyHQ3Y1Vj9xPVvFa9mdOMa6Ptqve4L0tLVBZcilkSaBqZCRQNUEXv5nCojsy7M7+dB8YTruO3qgd1CgUCvR6A3lZ+Zw8mMz25ftZOzee4vyK0YmtFajcgj2Z+dMjOLs4sPjv3Xz+0QrKnczDkwSquuXiZE/cwM7ERgQSEtCW1q6OKC++t+U6HRk5hRxOTmfDgVMsSz5hNhG0BKrGr6kFKoCD025HbePB2jORxnUSqKpPAlUjJYGqCbJ0udBWRWsfd4bd2Y+okREEdfHD2cOp8jJhYWnFZcLNiayZG0/K8WvcTViHgSqkiy/vz3oEtVrFjM9XM/+vistOEqgaht7W9Al3D/Fl8MAQenVoj19bNxzUtsbPSWGZhlNZ2ew4ncKSAwkkZF8wO54EqsalKQaqpQ/rCWn9LIezXuFcYcUddxKoqk8CVSMlgaoJqiJQXcnWzYV+43rQb1xPQnsF0cbHzXiZUFuuJTM1hyO7TrJ58V52rjmC/vLAVEeBqv/wLkx/r+LW6Df/NZdtmyuHk5BA1TCuDFQApW6V65zs1YzsFULfHsF08WmLp3MrbC6+/1q9noz8Qg6nZbDueBLLDh+j2MIwCk3yNW2KNVvQFAPV17d+x7DA/ZSUp7D17BhAAlVNSKBqpCRQtSyhfUIYdld/IgaF49vRG7srLhOe2JfE9n/2smHhbgpzTe+8UzjYmx3P0NrdbJ3OtWLulNvujuWhx4dSVqZl8jO/cOpUlul29uY/yLR2DdC53pJG/kupoYUFexHXN5Qe4X74+7rjaK82tmIVl5ZzJiObPcdSWbXzGIdPZ1DSxvwF1Jpn7cbfutWYaqmmxh6oLL2mOv8Sfh16J7FeAcT8/RlZpUXsGzzjuk/R0kKWBKpGSgJVC3NF65aHtxtx9w6i98gIgrv5m14mLCojNTGNvRuOsvaPrSSfyTY7XFWB6tnp4xg5LoK83GIeufsbzmvNh3qQQNX4GS7eKGivVjEsJpR+PYIJ6+CNp7sTKpuK90qn13O+oIgjZzPZeOw0S/cnUFiqkUDVQJpqoIpo7cP8Efcz79RBXohfIoGqBiRQNVISqFoYC5cLFTaVt9erVEr6TuzDgEkxhEUFm9xNWHGZMJsjO0+xefEedq45gs7d1ex47/7yKBE9AziTlMX/PfAtWo0erbP5Z0sCVeNnsDBiRbljxYvVsV1rRvYJIyrMjwDf1jhf1opVoinnTE4uu5LPsvRwIntSz1UcTwJVnWuqgQpg501PYWejovucDyVQ1YAEqkZKAlULc41AdYnysst7IT0CGXJbDBEDw/ENaoudw8VOzHoDuTlFnDx6jh0bjrFl9WHe/+kRfP1bs3P7SV6e9rvxGBKomqarBarLlbRRYK9SMbRLB4aEB9OtvQ/ebk7YXvxs6fV6zhcVczQji40nT/PP4QSyiyvuPG1Ur31jqqWamnKgeilyCI+Gx/LYhrm832nadZ9CApUEqkZBApWotovfxG5tXRh+z0B6j+pBcM9gXFwrp0UBWLBoD599udpkV4vhycK6RqWx/6Jq5AxKCPBxZ3i/zkR18SOofWucW9kbPytlGi2pmbnsSUlj9b7jbD9eORG0xs38eHpL47vW9XvUTN7zxhSy9Hbmv3p1jhU3uDiqVBx66CmOnM/kcN44s+1GO1ZvbtPGHqgsn6P2NecX6GkbekYCVWMhgUpUm6W7CyPDUKmUxA4K44W3bsLWTsVtd31F1nnTCXwlULU8lu7uUtjbMKBnMIN6dqRrBx+8WzujvniHqt5gIKewmMRz59l45gxLDh4lq7DyxggJVNXXVAIVwMKb7qKbpzd/nxyMFtMbYSRQXZ0EqkZGApWotioC1SXBIV58NftxtsWf5F+vmc7mLoGq5bE4hY7a/EX16ODK2KgwYkL86ejdBrfLWrE0Wh2pufnsTT3LyoSTbDyZhMngHRKoLGpKgWqwXxCzxk7iVP4/7Mx8w2Q7CVRXZ61AJZMjC1HPTiVmcC4lm+jewajVKjQaC+MVCXGFczn5fLtqB9+uqhjwVamEmF5BDO/ckR5+vrR3cyG4jTs39+iGwWAgp6SUxMzzbEk6w6JDCaTlF1j5GYjaKCovx2AwEOQ8hvatBpCvOU1myW6SC1cB1QtUomE1SAvVl19+yfvvv096ejoRERF8/vnn9OnTp8rt58yZw6uvvsrp06fp1KkT7777LmPGjDE+bjAYeP311/n222/Jzc2lX79+fP3113Tq1Mm4TWBgIGfOnDE57jvvvMNLL71UrZqlhUrUho2Tk8nXfW/oxWu/TeHvxXv4ZEZlP6ryVrWY4LgxaUR/+bckbdxbMWJQOH26BdDRzxM3F4fKiaDLtaRlF3AwKY11+0+w8lwS2isGodXZWThodd/LJvieW6uFymJrlL35gMA2HhoAXogYwqNhMegNBs6X5aNUKPCwczZ2utYbdBRrL5BVmkhKUTwnC9bS136v2fG8LN1YY+GNq01LVmPsqN5sL/n9+eef3HvvvcyYMYPo6Gg++eQT5syZw7Fjx2jbtq3Z9lu3bmXgwIG88847jBs3jtmzZ/Puu++yZ88eunbtCsC7777LO++8w08//URQUBCvvvoqBw8e5MiRI9jbV9yFFRgYyEMPPcQjjzxiPLazszOtWlkYBMYCCVSiNq4MVAB/pnyJnZ0tIyd9bFwngUrU1pUjvvfu4s/g/iFEBPvS3tMVO9vKiaDzSso4kXme7acqptA5VZhrfkAJVHWuuoHKtS38Oewewty9SC/O55bVP6O1TzU+Hu7SnmHe3Ynzaoub2g9bpaPxvTUYStBoz1BatouCkqUUl22QQNXcAlV0dDS9e/fmiy++ACpuE/bz82Pq1KkWW4tuu+02ioqKWLJkiXFdTEwMkZGRzJgxA4PBgK+vL88++yzPPfccAHl5eXh5eTFr1ixuv/12oCJQPf300zz99NPVqrOsrIyysjLj1/n5+fj5+UmgEtfFUqCa+Nn9PHb/ID6fuYa5C3cDEqhE7VmaQkfjXLnOw9mRkVGhxEQGEubjSetWjiiVFY+X63Sk5Rdw4Gw6qxNPsjrhBBqDhamULGmC73ljDlR9ff35ftxE7G1ULEk+wtPbFgLQ1iPfbN/7A7YBYIOaIOcBBDj1xd+hIyqVL0pFxRRXBoMegz4HvTaR8rLNlBcvQK9PlkBVj+o1UGk0GhwdHZk7dy4TJkwwrr/vvvvIzc1l4cKFZvv4+/szbdo0kyD0+uuvs2DBAvbv38+pU6fo0KEDe/fuJTIy0rjNoEGDiIyM5NNPPwUqAlVpaSnl5eX4+/tz55138swzz6BSWe429sYbb/Dmm2+arZdAJa6LhY7qKv92LDz6LkUFpdzZ53UA8nq3a+jK6kcT/OXakkWEtWNYbCgRndvR3ssde7vKVqzCkjKSzmWzKyGFFdsTOHXugsUpdMqdzY9rqcN9Y/9s1HXIqunlPYBXesRxf0hvtAY9bx38i1XpB4yPOduVmu3roi4zW6ek4rye6tb094yim2sY/q18cVE5o7gYmLR6Lfnl50ktOcGx/N0cyd+ORl/GKJcDZscLU5eYrXNUVK/btbVDVrPslH7+/Hl0Oh1eXl4m6728vEhISLC4T3p6usXt09PTjY9fWlfVNgBPPvkkPXv2xMPDg61btzJ9+nTS0tL46KOPLJ53+vTpTJtWOYDapRYqIerS2gW7GXV7DFGDwti1wfL3gBD1bX/CWfYnnDUOUOrsaEdc3zD6RgYREuRFl2Bvunf05cFx0Wh1OjLyCjmcmsH6I6dYeeg4pXJjRZ1wsbXnr7h76OTqSWpRLo/t+JILmsJr73gVWZoL/H12BX+fXYHapuJ96uIcSh+PKDo5d8DH3pNurv3o7tYfg+FJyvQllGtPkVe6k/NFSynQmPfFEtXTbO/yuzwcde/eHbVazWOPPcY777yDnZ15T0w7OzuL64WoSzP/s4ARt/ThkX/dKIFKNBoFxWX8vXo/f6/ej9a+ojWgS5AXI6LD6BHSHn8fd4Z368SI7iG8bRhJUZmGUxdy2HEmlX8OJ3AkPesaZxBXGuAdxIz+N2Nno2J+0kGej1+Mp3vtwlRVDhcc43DBMQACHS5gr3Skq1tfQpx70s6hAy7qMJztutLe9QEMBj0a3XnQHqG8bD1lJQvR6zPrpa7mpl4DVZs2bbCxsSEjw/QWz4yMDLy9vS3u4+3tfdXtL/0/IyMDHx8fk20uvwR4pejoaLRaLadPnyY0NPR6no4QtVZSpGHvlkR6DgjFr6MXedYuSIgqHE7K4HBSxc/ikjYKHNVqRkV0YmDnYMLbtSXcpy3d23nzcN8otHo9WQVFHErPYP2JJJYdSaRQo7nGGVqufw+M4+4uEZTr9UzeMp8Vqcca9Pyl+mJ2Za9mV3bFHcejXA7gqOqEp9M4XO1jcLTtgMpuEHb2g2nl8jpQhk6biqF8H9rSlejL1gDSSnmlBumU3qdPHz7//HOgolO6v78/U6ZMqbJTenFxMYsXLzau69u3L927dzfplP7cc8/x7LPPAhWX59q2bWvSKf1Kv/32G/feey/nz5/H3d39mnXLXX6iViwN9nlx5GufIE9+PPIxBzYd5YnPl5lt15gGH6yV5vI8hEUGJYQEehIXG0bPcD8CfD1o5XDZRNBl5aRk5LIrKZUVexPZfzrNuG+ZhR/Beks/ZhvgM1Sb7zeL/aUsrFN6VPR5clPbM3f4fQS7tCa1+AIPb/+G7Msu8bnam/dbstRfqrou9au6HmqlgR5uXYny6EEnp2A87Vpjq7Q1vr/FumIySs9RpNlCUsEq8jQnjfsOcDhjdjwPpfkbbKuo3k050ofqomnTpnHfffcRFRVFnz59+OSTTygqKuKBBx4A4N5776Vdu3a88847ADz11FMMGjSIDz/8kLFjx/LHH3+wa9cuZs6cCYBCoeDpp5/mP//5D506dTIOm+Dr62vs+L5t2zbi4+MZMmQIzs7ObNu2jWeeeYa77767WmFKiPqUlpTF6UMpdOsfhtMPayksuv4fmEJYU+LpLBJPV17uU7WyZWjvTgyIDKZzkDcd2rUmNKAtdw3uiU6v50J+MQlnM1l/+jRLDx0jt8S8w3VzNdS3I1/2vwm10oY/T+7lw+NzrF3SVenRszv3ALtzKzust3ewpbd7DOGu3WjvEEBgqw4onTrRzeN+9AYtJdrzZJcl4qBZTHHxYvQtrA2+QQb2/OKLL4wDe0ZGRvLZZ58RHR0NwODBgwkMDGTWrFnG7efMmcMrr7xiHNjzvffesziw58yZM8nNzaV///589dVXhISEALBnzx6eeOIJEhISKCsrIygoiHvuuYdp06ZVu5+UtFCJWrlKCxVA5OAu/G/ZdFZsOsK/P19usp20UImmwNIdfZaGcPAN82B0r870CfEj2MsDZwc7YytHabmW5Jxcdp05x7JjiexITjXduZm0UL03ahi3BEeg0euYvHk+a8+doI2F/lKNqYVKpdSZrXO1Na9vvKeaAOdheDlE4mIbYDY2llZ7mlLNLmxKl6PTbDbZt7m1UMlcflWQQCVq5RqBCuC3U1/g6unC0Ls/4fIBrCVQiaaguoGq1N10nVqlpH9MR4aGdqB7ey98XFxQqyp+seoNBi4UFZOQkcWmU6dZfPgYF4qLzY5Zl+ozULVxcGTepDsIcHXjVP4Fbl71E7maila55hKo+rkcv+KcakZ4dMXBYQR2tpGoVL4orhgbS1d+DJ1mM4aSJaBPuWYtEqiaOAlUos5dEbLGPTacp756mFmzt/Djr1uM68udmslgn5ZIyBIWtPNyZfjAzvTuEkBw+9a4OFVOBF1WruXs+Xz2nzzHmj3HWZdp3j9H62DhoLUYCslSyKppf6lRfqF8EjsBW6WSucnxvH90kcl2dR2eqqs2Iava51CYnsNT3ZpBbXvS1aUL7Rx9cb5sbCydvpx87XnOFSdyvGAH/oZvAdNLwcEq85rtLIyJdSl4SaBqZCRQiTpnodVqYeEv6HR6xt36mXGdBCrREukv+/2oUiqJjQxiYGwI3YK98W3tgvpiC6/eYCC3qITEjPNsOX6GJfsTOFtuYbgBKwaqD2NuYEJgV8p0Wh7bNJejZQfNtmtJgQrA3qbc5Osuzp0Z5tUZP8cuuKm9sVVUXgrWGwopLU+isGwHOcWL8dbvMTueBKomRAKVqHMWAtXDc57jtpt689a7i1mz4SgggUq0THoLt0hpnCq/Z7w9nBndO5TeEQGEeLfB3dHB+AtYo9NxNjefvWfTWJVwgvXHT6G3QqDycmzF/FvvoF0rVxJzs7h1zS/ka0ob5PJedTWWQAUQ0qpyiCR7pRNhLv3o5x6Cg7orahsvFBdDk8Ggw6A/j678CNqyjZSVLMLOkG1+XglUjZMEKlHnLAQq+44B/H34Hc6n5fLAwLeBZjQdTXVJyBLXQamE3t0CGBIdSrdQH3zbuqK+fCLoolJOnb3AjsNnWL49gbNZeZS2tjDvoav5sQ0W/qbRuJpPH3Pp8h7AOP9wPoy9AZVCyR9ntvJxwj/GxyxNH+NmYV1DaIhAVV2Wgtfl/Bx86demN11cO+Hr4EMrm8oO71pDOdma85wuSuRg3i4O5+1lgMsRAIoLdNzT46AEqsZCApWoc1XM7/fK1/fTd2Q3np74KYn7kyVQCVFDlwJQazdH4mLDiI0IomOAJ+7Ol00ErdWRlpvPgTPprD18kg1HTqLR6uskUH3edwJj/DtTqtPy7J6f2JV9ymQ7CVSWXStQXXKpg7wSJT3cutPLI5Iw5yA81G1QKSrHxirX51OgSSIpYyO9g56SQNVYSKASda6KQOXu6cxv8W+QeCCFpyd8IoFKiBqyFIC0dhUfrF6h7YnrE0pEJ1/ae7lhf1krVn5JGScvZLMtKZnFhxJIupBT5fEsBar27e2YM/xefBxdOJKTwW2rf8HB2fxSlAQqy2oaqC7XRl1xGdVF5UYP91g6u3Qn0LEd9jYeFBQU4erq2vwG9hRCXF1OVgEJe88Q1iOA1l4uLWwoPCHq1+5jqew+VjG+VWlrBa6O9oyODGVA5yDCfD2JaOdNTz9fJg+MoVynIyO/kANp6aw5fopVx05QqrU8xcpNoeG8N3QENgol3xzZxrv71wFg6YZDUX/ytblsyFrGhqxlDHKpmB9VrbHO9HLSQlUFaaESde4qY1N17BHIF1v/w7bFu3n+lw1m2zWbsamqq6U9X2E1BiV06+RDXGwYkZ3b0d7bHQe7ystIRSUazqRls7HkDAtPHyYhJ4tvBk1khF8IJToNT+/+iX05p43Hs9QaZamzeXVbZxpCU2y1upryIg1/D/9RWqiEaIlO7D1NelIm0WN6oP59Exqt+eUFIUT9OHg8jYPHK+cadHS2Y1h0CP0igwkLbEtYoBddbHx4vGsMBoMBhULBgQtpTNn9DaV6mQRaVJBAJUQj8f0rf/DK7Kd4/O6BfDprvbXLEaLFKizRsHD9IRauP2Rc1/YOD8YFdOaR8D7o9TrGL/2Jtp4SpkSlWozUIYSoS5vm76Agu5AbhnWzdilCiCscvJDOO3vW8b8967BR2nBnp0hrlyQaGQlUQjQUg95s0ZdrTZZ5n/yDg72aWwZ3x7ZQZ1xaHIOFRYh6oNCbLzYag9lif9IO+5N2/LpkP1qdnsdConG2KzVbXNRlZosleoPCbLEWPQqzxWq1NKLXpaYkUAnRiPz29nw0Gi333B5r7VKEEBboDbAtKRl/dze87N2tXY5oRCRQCdHIrFl/FA+PVkT1DLR2KUIIC95fuRGARzvcYOVKRGMigUqIRuaLb9ZgMMDkR4dYuxQhhAWJmRfILCgitnUXa5ciGhEJVEI0MvrdZ9i/7TiB/m3oWKrF4WjatXdqCaRflbAi90S9ybJg2T7sbGyJaxtDmU5lXGqjKfcfEhKohGiUvnxlLgCT/3OzlSsRQljy6+KdaPU67gwcbO1SRCMhgUqIRuhsUhbJx9OJiO2Io7O9tcsRQlxBq9ezL/cU/o6etFE33GjcovGSQCVEI6M7l4HuXAZfPz0LhULBY8+NQmHAbBFCNByFznx5Y902AB7wuYnUU56knvK0cpV1R4ZSqDkJVEI0UntWHyQnI5fBt/W1dilCCAsOXcggq6SIEYGdrF2KaAQkUAnRiP3+v4Wo7W25f1K0tUsRQljw+9H9ONjacmPHztYuRViZBCohGrGFX62kpKiUW8f2snYpQggLvty7HZ1ez5QeMhhvSyeBSohGxqDTmSzLf1iHq7MDI3p2atnT0VgiQykIK3I7oMJxn5K9J8/S0c2D4FMudd7fpzH1H5J+VVcngUqIRm7mC7+i0+l5+P4B1i5FCGHBpws3A/D0BPkebckkUAnRyGk1WrbGn8TX242Qjl7WLkcIcYWDp9PJKSwhrkdHa5cirEgClRBNwCdfrQLgqSfirFyJEMKSv7cewtFOTf82PaxdirASCVRCWJNBb75YULz5OIkHkgkP88Unq0Cmo7ka6VclGoh9rsG4/PRnRef0m9uPplhra7LUtcbUf6gx9auyNglUQjQRX702H4DJ/5bpaIRobDQaLYeOnyOwlQ+uqlbWLkdYgQQqIZqIxP3JZKRmEzO8KyqVfOsK0dh89ddmFAoFD3YYa+1ShBXIT2UhmpBZ7y9FpbLh/hfGWbsUIcQV9h87R155IYM9pR9VSySBSogm4NL8fmtnLKMgp4jRd8TI/H41If2qRD1Q6Axmy5yTB3FU2dPRNpbTWa05ndXa2mW2GNbuUyaBSogmZsGXy3F0dmB8XHdrlyKEuMLnhzegN+iZGj7Q2qWIBiaBSogm5rf//E15WTkP3hxj7VKEEFco1mvZn32Ozm5euKjsrV2OaEASqIRoAi6fikZXXs6GOdto4+FEdId2Mh3N9ZLLgKKWFHrzxXZfKz5bsA2FQsHzPsOx3deqQYY5kKEUrE8ClRBN0JdP/YjBAJMfG2rtUoQQV4g/lUpecSljI8OsXYpoQBKohGiCCnOLOXAoheBAT3y8Xa1djhDiCgv3HsHZ3o6BIUHWLkU0EAlUQjRRH39RMR3NtCkjrFyJEOJKn63eht5gYEpcrLVLEQ1EZe0ChBBXsDT9jML8b5/M5QdJOZlBr8gAPM6cp6RQgybGrwEKbMYs9aNqGd0/RB1xSr30ISojISmD8EAv1EmOFOtLTbZT29R/n0dL/aiUVhpfxVI/KmUz67goLVRCNGHfvrUQpY2SR1+daO1ShBBXmDFvC0qlgnuDZOT0lkAClRBN2K71R8k5X8DQiVHWLkUIcYXth85QUFzG4La9rV2KaAASqIRo4v76ajVqe1tufWKYtUsRQlxh+bajONs60sMt1NqliHomgUqIJkqXnokuPZN5/5lDaXEZNz08WKajEcLKbDQGk2Xm7E3oDQZu9x9PepGzcRHNjwQqIZqBFT9twLWNMwP7dLR2KUKIyxQWa0gsSCPctR32SrW1yxH1SAKVEM3Aty/ORqfV8cTdMn+YEI3NN8fXoFQoeTxELss3ZxKohGgGNKUadq7YT3tvNzoGeFq7HCHEZTZmJlBYXsq4dj2tXYqoRxKohGiiLp/fz6DT8ekT3wLw3ANDsS3QGhdRSzLnn6gBS/P75R5pzZKjibipHQnJjyD3SGurzb0nc/7VHwlUQjQT51OzSTyRQdfwdri6OFi7HCHEZd7ftBmDwcBz/ftZuxRRT2Sk9BbOK8CTX5O+Mln346u/M/vt+WbbOjjZc8f0ifS/KYa2/m0oLSolIf4Ecz9azL51h+q0rvYhvvQa0Z2Qnh3o1CsY/87tsFHZVFlbbTl7OBF7QxSdegXTqWcwHSIDsXe0Y8/qA7w44t9V7nfbixN4+J27TNbdHfQEGWey6rzG6vjsq1V88dHdPDV5OG+9s8gqNQghzOWWlnLs/HkifXywV8mv3uZI3lUBQElhKZvmbgfg1P4zZo+7ebrw0cZ/4xfqy4Vz2WxfvAt3Lzd6j46k9+hIvnr6RxZ+sbzO6rnh8RHc9FTDjS7cbUBnnv9xco33SzqYzMpZ6wEYcHMMDk72dVxZzZyat5us58YysG8IzokZaLV6mY6mPsgUNaIG3I5VfDi+n7ud9x+/gedDYphnOG62ndWmhZEpauqEBCoBQN75fN5/8MsqH3/6m8fwC/Vlz+oDvHbju5SVaADoM7oHby18kcc/foADG46QdDC5Tuo5fSiZvz5YxIm9SZzYc4o7pt/E8HsH1cmxLcnJyGPJNys5vqfifJ16BfP0jMeuud+OpXvYsXQPAN0Hh1s9UAH88sFSnv34bu55bgw//m+JtcsRQly0du8Jiks13Ni/K/P2WbsaUdcapA/Vl19+SWBgIPb29kRHR7Njx46rbj9nzhzCwsKwt7enW7duLF261ORxg8HAa6+9ho+PDw4ODsTFxXH8uGnaz87O5q677sLFxQU3NzceeughCgsL6/y5tQT+ndvTb0IfdFodHz78tTFMAexYtpeVP63HxkbJHS/V3Xxyy75fy7cv/MK63zeTcuwcBn39/oVydHsinz7+LUu/XU3i7lOUlzXdztyr5+2iKL+Esff0t3YpQogrrN59HDcnB8KcA61diqhj9R6o/vzzT6ZNm8brr7/Onj17iIiIYOTIkWRmZlrcfuvWrdxxxx089NBD7N27lwkTJjBhwgQOHarso/Pee+/x2WefMWPGDOLj42nVqhUjR46ktLRyNu+77rqLw4cPs2rVKpYsWcLGjRt59NFH6/vpNkv9J/YB4PCWY2Qmnzd7fO3szQDE3BCFjcqmQWsTli3+aROtnO0ZeVu0tUsRQlzm8/kVPy/vC7rRypWIulbvgeqjjz7ikUce4YEHHiA8PJwZM2bg6OjIDz/8YHH7Tz/9lFGjRvH888/TuXNn/v3vf9OzZ0+++OILoKJ16pNPPuGVV17hxhtvpHv37vz888+cO3eOBQsWAHD06FGWL1/Od999R3R0NP379+fzzz/njz/+4Ny5c/X9lJudDpFBACTuPmnx8cRdFesdnOxp18mnwepqUQx688WCS9PRzHr+Z8o1Wu56agQKvcFsEfVAhlcQVVAX6o1LYVohSWcv0NklmFJtKwo0dsalMQ1pIGquXgOVRqNh9+7dxMXFVZ5QqSQuLo5t27ZZ3Gfbtm0m2wOMHDnSuH1SUhLp6ekm27i6uhIdHW3cZtu2bbi5uREVFWXcJi4uDqVSSXx8vMXzlpWVkZ+fb7KICt5BbQEstk4BFBeUUJRXbLKtsC69Xs/m+Tto086DiM7trV2OEOIysxbEY6NQcnegjJzenNRroDp//jw6nQ4vLy+T9V5eXqSnp1vcJz09/arbX/r/tbZp29b0F7tKpcLDw6PK877zzju4uroaFz8/uTPqEkfnio7WpUWlVW5TUljxWCsZ/6jR+PLpWRgMBp5+cIi1SxFCXGbV1gRKdRpu8I2xdimiDsnAnhdNnz6dvLw845KSkmLtkoSolfzsQg5vTaRTYFt8PF2sXY4Q4jIbMw/grnYi1FlakJuLeg1Ubdq0wcbGhoyMDJP1GRkZeHt7W9zH29v7qttf+v+1trmy07tWqyU7O7vK89rZ2eHi4mKyiArFBRWtT/atqh4S4NJwAUX5JQ1Sk7DsyuloPpv8HQDPPTgM20KdcRENRPpVCUChM1/+tbFi3L/7/CZyOtWT06mNaw7OxtSfq6lMUVOvgUqtVtOrVy/WrFljXKfX61mzZg2xsbEW94mNjTXZHmDVqlXG7YOCgvD29jbZJj8/n/j4eOM2sbGx5Obmsnv3buM2a9euRa/XEx0tdz3VVMbpinDa1r+NxccdnR1o5eposq1oHE4fSiH1bA69ewZhby/DzgnRWGSVFnEyP5s+Xn6olHKxqDmo93dx2rRpfPvtt/z0008cPXqUxx9/nKKiIh544AEA7r33XqZPn27c/qmnnmL58uV8+OGHJCQk8MYbb7Br1y6mTJkCgEKh4Omnn+Y///kPixYt4uDBg9x77734+voyYcIEADp37syoUaN45JFH2LFjB1u2bGHKlCncfvvt+Pr61vdTbnZO7E0CIKRXB4uPh0RVrC8pLCU1Ma3B6hLV8/V367CxUfL4I0OtXYoQ4jJfHdiGSqnkia7Sl6o5qPdAddttt/HBBx/w2muvERkZyb59+1i+fLmxU3lycjJpaZW/hPv27cvs2bOZOXMmERERzJ07lwULFtC1a1fjNi+88AJTp07l0UcfpXfv3hQWFrJ8+XLs7SsvSf3222+EhYUxbNgwxowZQ//+/Zk5c2Z9P91macuCioFYu/QLxdPPvJVq6J0VA0huX7wLnVYuJzU2e3/YRO75AkYN7YLDkTQcjkjotSq5DCgAl31qVs8/TqmmnLuDe+CyT21xu0Z16a0x1dIILwM2SDvjlClTOHPmDGVlZcTHx5tcdlu/fj2zZs0y2f6WW27h2LFjlJWVcejQIcaMGWPyuEKh4K233iI9PZ3S0lJWr15NSEiIyTYeHh7Mnj2bgoIC8vLy+OGHH3Bycqq359icnTmSypYFO7BR2fDsd4+jtq/8xu89KpIR9w1Gp9Pz+//+Ntv3ntdvYZV+Dh+sfaNBau0+KJxV+jms0s9pkPM1FXNnrMXOQc2kR+WOPyEak/WHTuLp0oqwdo2rD5WoOelUIarlk8e+ISC8Pb2Gd+fnE59zcFMCbm1d6D4oHKVSyZdP/WBxHj/lxb4B2vKatVx17BHEk18+bPzap0PFzQRjHx1OzNhexvVv3PQ+2em5Fs5X86ljPtv6tvHfrhfvigvt3dFk/a//mWecu68pmTdzHfc8O5qb/28o82aus3Y5QoiLPly0iZE9QnnmhgH8L2u7tcsRtSCBSlRLblY+k3u/xO3TJzLgpmj63hhFaVEZu1bsZ+6Hi9i79pDF/Tr1DAZg+Q9rLD5eFUcXBzrHhJitb+vXhraXXXa0tbM1PV+vS+dbW6PzARbP18rV0WS9WxMefmD1vJ2Mvbsf0XHhrCwssHY5QgggI6+Q5PO59O7ohzJLiR7LsyCIxk8Clai24oISfnh5Nj+8PLta26tsVXQfFE7irpOs/3Nrjc51YMMRhitvqXGNvYZHUFJUys9v1PyS3/WcrynQpVfcefnNlG8ZdUcsD704jlX/Mn8PDUrr90FosSz1o5K3o1lzOF/5pv+2aCcvPzSCG3yH82eK6R+f9jZNd6L2lkbu1RQAuLZx4fkfJvP8D5OJGdfr2jtUQ5d+oTg42fPd9N/q5HjXorZX07V/GPM/+YecjNwGOWefMT2Nr5trm8bdelVarGH3qgO0D/EhyK+1tcsRQly0cP0hNOVabmg3wNqliFqQFioBVAzMOeL+wQCcPZnG9iW7r75DNexff7hBW300pRrGtbqrwc4HENTN3/i6NQWfT/2RnxM/4blHhjP5tT+sXY4Q4qLN+04xJKoTAY5enCnOuPYOotGRQNXCZZzJaraXuhrCn+8u4M93F1i7jGrLOJPFyf1n6N49ABcne/ILq56fUQjRcL74fRNDojrxSPCNvHJIhvhpiiRQCdFUGSx0XlWYX8U36EzvsPzqqR/5cP0bPHvvEN5+d4lxfZmr/DiwxNvThflfPmKybuYfm5k1P95kXWyPIMI7ehMa7EVokBeeHhXDtNz4f9+QlV1Y53WFBLWlVxd/woK9CA1qS3tvd5RKBW9+vpQVm4/W+fnatnYmtkcQYUFehAZ7EezXGrWtikVrD/K/b1ZWud/zD8cxcXiEybq+t31Y5/U1NUqtace5tLRcUotziHQPJTXb3dg1PcQzy2xfS+M/KRXWGdCsUdVyseOhtcakkp+gQrQwBzcnkHW+gEEDwnjn/SXo5aaiaiku1bBueyIAx8+Y/5J748kxOF9lvsu69uCkWAb27thg5xsc3Ymn76v5OGaHEs+htrUBYOzgrtfYumWbdXw7r0aO4d4OMcw6KUMoNDUSqIRogWb9soUXpo3m/nsG8MNPm6xdTpOQl1/C21+tqPLxDTtOkJKWQ2JSBsdOZbL0+yfqtZ7Dx9NISjnPsaRMEk9n8vL/jaRnF796O19aZh5zlu3hWFImx5IyGBYbyv03XXvKlGUbj7Bs4xFAAtW1zE7ayYvdRnBPx2gJVE2QBCohWqBlKw4w+f+GMnF8TwlUdeS/X1cdturDLwt3NOj5Nu06yaZdJ41fD+7TqUHP31JsyjzBUO9Qgpxak1R4wdrliBqQYROEaIHsj5xj6axNODnZMy68HfZHzlm7JHElmfOvWVPozRfDARfem7sNgOf8R2M4UP2hWBrVPHuNqJaGJIFKiBbq5/f/QVuu457nxlx7YyFEgziTncu5vHz6dwi0dimihiRQCdFCabV6ti4/gKevO517BVq7HCHERT/H70WtsuGu3hHX3lg0GhKohGiBdBlZ6DKy+PyxGWCAx1+bgEJvMFtEIyOXAZs159MGnE8bmP/HHsq1Oh7s3QutXmm2iMZJ3hkhWrC88wUciT9Oxx6BeLZ2snY5QoiLth86g28bF7zsZZqopkLu8hOihft86g98vfMdnn9kOC/8729rlyNEs+Xt6cL8L64YJPZP00Fi3Z0diO0WiOJiP+7ver+KRq8lqyyHvTkJ/J26juzy83VaV3ArP7q5htDByZ8OTn5423uiVCj5JHEWG7J21um5AFqr3enp3oUOrfwJdvLH39EHW6UtqzO28PXJqud+fTT4DkZ6m853OGlr/Q5PUhMSqIRo4U4dSObcyQxiegShVqvQaGR2eyHqk8kgsadNB4l95o7BjI7tjE6vR6vTo7RRcDD3OJ2c/RnfbhDDvWN45+i37M9NqLN6bvUbTXTrhuuvFdM6kgeDaj7lWWLBKdTKitgypG1sXZdVaxKohGhOrnM6mm9f/JU35j3Hk7cP4LMvVxvXy3Q0TYD0o2py8vJLeNvCuGWqUgMFeSV8O2cLi9cdYmT/zky+cyBr0o/xwt6/mN7lJkb4RPBc6AP83643KNKVXPU81Z0WJrEgiZTiNE4WpZBUmMKUTnfT1TXk+p/gNWrJKM1mybn1nC5K5lRRCn1b9+Rmv9HXPMb6rHjWZ1W05jXGQCV9qIQQbFmwk7y8YkaP6G7tUoRo0T7+aR0/zN9OVk4hs//ZiVav467AgZToNLx9aB5F2lJcbFsR5VF3o87PP7uK35IXs/3CPjLK6n8w0R3ZB/g+aQ7rsrZzpvgsOprH/FcSqIQQAPw1bwf29rZMmtDL2qW0KP96YiRb/3qWfz0xskHON2ZQF7b++SzzPn+4Qc4nrp9eD7sunKS9Y2u87F0p05dzpqii/1QbO3crVyeuJO35QggAZv8Zz7139efO22OZt2C3tctpcu6fFEPfHkFm6997YQLl2opLrIlJmXzw/RqTx5UXex/rdDX7K71vjyDun1Q5l15Q+4q7wR66JZZJoyKN6x995XeT/RQXz6et4flau7XinefGG79u6+EMwIBeHQj+zx3G9R98v4bEpMwaHVtU7YvEZUS36cTUkDG8fvBPfBzcAMjR5Fm3MGFGApUQAqiYjmbd/J2MuiOW/l6u7Fp3lLJYf2uX1WS083Kla4iv2frQYC/jvzXluiofX7z2UI3O5+biaPF87b3dae99WevFpS4zF7uwhF0835J1NTufra0NXTuZn8/d1RF3V0fj160c1DU6rqiksJBxt+zVkhFRRH/PcAbbDsZd7USZTsPunCPXdY7q9qtqCJdqMVw8fVPvDiiBSghhNPOt+Yy4NZpHXp3ArnVHrV1Ok/L2Vyt4+6uaTZDcxt2JYL82rI8/zuHjaTXad+mGwyzdcLhG+wD06R5A5oUC/ly6p0b7pWfl0/e2D2t8PlF7vx7cx3Ox/XltwBAA/kxZTl55gZWrEleSQCWEMCop1LB3cyI9B4bSvkNb5KJCJVcXB2M/p/Xxx9my+1StjxkdEYBWp+eb3zfX+ljV4e3pgp+PO+98sxJNecMMjzF6YDg9u/g1yLmaq4WJR3k2ph92KhWrTp1g3rmV1i5JWCCd0oUQJr54+S8Apvz3VitX0rg42qsZO7grYwd3pVOAZ50c85/1hxl4x8ecOZddJ8e7lkutTIvXHmyQ8wF0DfE1vm6i5to4OvLT+EkoFAoMBgNvbVxr7ZJEFaSFSggBVMzvB3A2I4ukQyl0i+mAs4OawqIyk+0MSvM+GM1ZelY+fW9tBpe6LHVQaYC38v3vVvP+d6uvvaEw4+7iwOejbyXY3YODSWl0DfTm5fCBfFVmHohr0w/qyn5Vhob4YDRD0kIlhDAz47lfUCgUPP3gUGuXIkSL5ObswOev3UqwT2viE5J59OM5XCgoZnBkB2uXJqoggUoIYWbfusNcSMthWN9QlPJTQogG5erswOev3UKwXxviE5J5+qsFlJXrmL/xAA5qWwZ5Rlm7RGGB/KgUQgAV09Fcvvz2n/mobVU8dEM06gKdcRFC1B/nVvZ89urNdPD3ZMeBM7zwv78xXChHna/n1znb0en03OI3isJytckC8GSnu1nY/wue7HR3g9Q6pG0Mf/f7km96vVVnx9QbFGZLUyF9qIQQFi35ZhWPfHgvkyb25qdft1q7HCFahOn/N4JOAW3R6w3kF5bywoPDTB7PLSjB37UtI7yjWJm+y+Qx4yCxhpr94dPLvQu3+Y0yfu3n6A3AbX5jGe0zyLj+pQMfmJ7vYl8rbQ3P527rwoudHzV+3VrtBkAf9+74d68c62zmyT85VZRSo2NbkwQqIUSVlizdx62T+jBsSGfWyLhUQtQ7l1b2ACiVCuL6hla53S1+A80CVYdWFQPxrsrYVqNzuto6EepiPsq/j4MnPlR9R2sHp4rhMNZk1OwPLpVSRaiz+flc1c64qp2NXzvY2NfouNYmgUoIUaVvf9jATTf24qH7B0qgEqIBTHnrL5Ov9RZ+Sy/78THaObYxWeehdsW/lQ/bzu8jseB0jc65NjOetZnxJuuqc9dghFtnzpflsCRtfY3Ol1WWzcQtk2u0T1MggUqI5s5gYT4LRfW6T6r2pxC/6hB9R3Wnu60NifuSKesbUMcFCqux0lAKLZ2riwP/evyyQWL3VD1IrNLC+Ku/Hz/AE1360tW2H/+kJAAwMcofnUHHL2cW10mN15qixtPOA1+Htnx54jc0+vI6Oee1ahniGU1X15B6PVdtSKd0IcRVffmvOWCAJ/5zi7VLEaJZMBkkNrDmg8R+cXAzOr2eKd36G9etydzOTVue4mxJRl2WWqVLrUyra3i5rzZCXYIY6hXDUK+Ya29sBdJCJYS4qpzMfBL2niasZyCtvVxlOhohrlNdzYdYqtey9/xZenm2x01tT66mtA6qa/xmnPyDGSf/AKw3ofPVSAuVEOKavnplDgBPvC2tVEI0Bu/vX4dCoeDFyCHWLkVcJIFKCFElXeZ5dJnnObZmH2lJmUTHdcFOqUChN5gsohkxWFhEo+K4z4HDqy6QU1TCuPZdcNzn0CDjNzXlMaIaggQqIUS1fP+vP7BR2fD43YOuvbEQot4t3HWEVvZqhobLdDSNgQQqIUS1bJoXT352ITfEdbN2KUII4ItVW9HrDTwxonF20m5pJFAJIart78+W4WCv5qZRkdYuRYgWr1Sj5WBKOqE+njipHK1dTosngUoIUaUr5/f79d9z0Wi03D8xBnW+zriIZk76VTUqrdINxmXm7M0oFAru9L8Bjd7GZGnOGmN/LglUQogaWbv+KB4erejZQwb4FMLadh1NIb+wlKFevaxdSosngUoIUSOff7UagwGmPD7s2hsLIerdsi1HaKVyoI9HuLVLadEkUAkhakS/K4n9WxMJDGhDUFEZ9kfOWrskYQ1yGdBqlOUGk2XmH1vQGwzc7jeW9AJn49IQGtOlN2vXIIFKCFFjX06vmMB16v9utXIlQojiUg1H887S2dUXJ5WdtctpsSRQCSFq7GxSFsmJ6UT0DcHR2d7a5QjR4n15bC1KhYLJoXIp3lokUAkhrsvMN+ejUCp47I2brF2KEC3elqzjFJSXMK5dpLVLabEkUAnREhn05ks1XZqOZufcLeRk5DL4xl5mU9HIdDQtlPSrahAKvflSfNCDRQcScVE7EFkQSfFBD6v1b2pM/aoakgQqIcR1+/1/C1Hb23L/zTJSsxDW9sH6zegNBp4Z2NfapbRIEqiEENdt4VcrKSkq5daxMgaOENZWqNGQkJFFd19vHFUqa5fT4kigEkLUyoof1+Pq7MCwviHWLkWIFu/TzdtQKhQ8Ka1UDa5eA1V2djZ33XUXLi4uuLm58dBDD1FYWHjVfUpLS5k8eTKtW7fGycmJSZMmkZGRYbJNcnIyY8eOxdHRkbZt2/L888+j1WqNj69fvx6FQmG2pKen18vzFKIluXI6mm+e/wWdTs//3T5ApqMR5qRfVYNwPWHA9YSB3ctOUlRSxqQu4S22L5O11Guguuuuuzh8+DCrVq1iyZIlbNy4kUcfffSq+zzzzDMsXryYOXPmsGHDBs6dO8dNN1XeRaTT6Rg7diwajYatW7fy008/MWvWLF577TWzYx07doy0tDTj0rZt2zp/jkK0dFqNlm3xJ/DxcSOko5e1yxGixVux4xhuTg50de1g7VJaFIXBYKiXvxeOHj1KeHg4O3fuJCoqCoDly5czZswYUlNT8fX1NdsnLy8PT09PZs+ezc033wxAQkICnTt3Ztu2bcTExLBs2TLGjRvHuXPn8PKq+OE9Y8YMXnzxRbKyslCr1axfv54hQ4aQk5ODm5tbteotKyujrKzM+HV+fj5+fn4M5kZUCttavhpCNAGK6//7yvXWgcyZ/QRHjp5jytO/AlDmJn04RBWkoaTOaZwqX1SXVvas+fRxjuYn8fz+T0y2Uymrf0dvXVIqGq5psrxIwz8jvyMvLw8XF5cGO2+9tVBt27YNNzc3Y5gCiIuLQ6lUEh8fb3Gf3bt3U15eTlxcnHFdWFgY/v7+bNu2zXjcbt26GcMUwMiRI8nPz+fw4cMmx4uMjMTHx4fhw4ezZcuWq9b7zjvv4Orqalz8/PwqHqjFLxkhWoqijQkk7j9DeJgv3hm52B9OtXZJQrQotiUG41JyvoSTKecJcwmkuNyZ3DIH42ItLeHyY72lhfT0dLNLbCqVCg8Pjyr7MqWnp6NWq81alby8vIz7pKenm4SpS49fegzAx8eHGTNmMG/ePObNm1fR0jR4MHv27Kmy3unTp5OXl2dcUlJSavR8hWjpvnplDihg8n9vs3YpQrR4P/69HaVCyYPBcdfeWNSJGrfJv/TSS7z77rtX3ebo0aPXXVBdCA0NJTQ01Ph13759OXnyJB9//DG//PKLxX3s7Oyws5M5kIS4Xol7k8lIySZmRDdUKmnZFcKa1sYnUqwtY1y73sw4sdza5bQINf6p9+yzz3L06NGrLsHBwXh7e5OZmWmyr1arJTs7G29vb4vH9vb2RqPRkJuba7I+IyPDuI+3t7fZXX+Xvq7quAB9+vThxIkTNX269J3QG6VSfjkIUR2z3l2MytaG+6ePt3YpQrR46zIO4mbbiq6u/tYupUWocVLw9PQkLCzsqotarSY2Npbc3Fx2795t3Hft2rXo9Xqio6MtHrtXr17Y2tqyZs0a47pjx46RnJxMbGwsALGxsRw8eNAkrK1atQoXFxfCw8OrrHvfvn34+PjU9Ony4qzJLNP8wR/nvuWNxS8z+MERqL29UNrZmy0olOaLEE1FbaajybqALusCa79dSUFOEaPv6ivT0YiqyVAKdU6hM19eX1vRX/lBv/GcPd2Gs6fbNKq+TI2plrpQb7fhdO7cmVGjRvHII48wY8YMysvLmTJlCrfffrvxDr+zZ88ybNgwfv75Z/r06YOrqysPPfQQ06ZNw8PDAxcXF6ZOnUpsbCwxMRVTW4wYMYLw8HDuuece3nvvPdLT03nllVeYPHmy8ZLdJ598QlBQEF26dKG0tJTvvvuOtWvXsnLlyho/j+/fXsjQ8X3o0NWPvmMi6Te2Bwa9geyMXI7Gn2D9nO1sWbALvd46d04I0dgs+HI597wyifHDu7No1QFrlyNEi3W+tJgTuReI8mqHWqlEI7+n6lW93tf822+/MWXKFIYNG4ZSqWTSpEl89tlnxsfLy8s5duwYxcXFxnUff/yxcduysjJGjhzJV199ZXzcxsaGJUuW8PjjjxMbG0urVq247777eOutt4zbaDQann32Wc6ePYujoyPdu3dn9erVDBkypMbPYekvW1j5U8Udho4u9gy/NYbY0RF06NKefjdG0X9C74qAlZnH0W2JrP9zC5vm7ZCAJVqs3/7zN7c/P54Hb46VQCWElX2+dxufDb2BKT1i+Wj31e92F7VTb+NQNXX5+fm4uroS5/MYKr35pTt9XgGOLg4Mv3sAfcf3okP3AJzcHFEoFJUtWNuPs/6PLWyat10ClmiaqnnZWmFjY/L1Cz8+zrA7+/PkG3+y57IhFAzKpt2kL+qRfDTq3Lm4it87R+5/mqJyDb1/+4puYclm2zXkGFHXUhe1WGscKglUVTAGKt/HUCmrd/efo7M9wyb1pu+o7nTo0h4nVwdjwMrJyidhz2k2LtzFpt82otWaBiy9RmN+wBr0YRGiXlxnP0AnN0fmZf1A0uksHnnsB+P6UncZJFfUgISsWiluW/H9+/a9oxgTFcZdH/xOQcw2s+0kUNUNCVRVuJ5AdSVHZ3uGTehJ3zERdOjqh5NrZQtWTmYeCTtPVvTB+nsHmuJS8wNIoBLWVosbK97f8z4R3f24+74ZpKXlARKoRA1JoKqVS4HK07UVK//9CDsTU/h35vtm20mgqhsSqKpQF4EKgPJy4z8dnOwZdksf+o7oRsfIAJzcWlUELIOBnIw8EuKPs/6vbWyau62iBUsClbC2WgSq9vfH8cN3D7NzVxIvvfwXIIFK1JAEqlq5FKgA/n7lPvzbuHHz1mfQYvq7RQJV3ZDJthpQSWEpS37cyKJP/gEqAlbcXf3od2NvOnQPIHZ8FH1v7I3h16mXBaytbJqzDa1WZ+XqhaiZM8kXSE65QK9egTg6qCkusXBZWwjRIH5ctZO37h7JJL8R/JkiA33WB2mhqkKdtVDVgIOTmqET+9BvdHc6dm1f2cndYCD3fAHH9pyu6OQ+d7tJHyzpfyXqTS1aqFTebYkaEs6/f32c5bO38unzv5PXL7DuahMtk7RaVZve1vTFWv/DVIoMxdy69U2T9Y6qcq7UlFut5JJfI2ONQHUlBzsbhk7qQ7+xEXTo5ofzZZcIczPzSdh1kg1z49kw27yTuwQqUSdqGagAZu97m1bODtzYYZoEKlF7Eqiq7cpA9e/JY4iLCeXRnR9wqijNuF4CVd2QQFWFxhCoLu9/BWDvqGbI2Aj6T4iiY2QQzh6XB6yKTu4b52xj/V/b0JbJ5RVRB+ogUE14ZAiPvXETP/53Ed/uO15XlYmWSgJVtV0ZqNp6OLHw00fYnXOMF/fPNK6XQFU3JFBVoVEEqmuwd1Qz9KYo+o2OoGM3P5yvuESYuPcMGxftZuOiPWg1WvR5BWbH0JdZuLtQiEtqEaguH5tqUe6PlBVrGPN/35htJ2NTiVqTj1C1zf7uftq3cqPr/P8au6aHemVedZ9LmkrIkk7posZKizUs/XUrS3/dClxswZrQi35jIunUrT19hnclekQ3nvv8voqAteskG+fFs35OPFqN1srVi5ZkxU8buPHxEQyM7sjG+JpPUi6EqBvfJ27n373G8nBoX2Ye22rtcpoVaaGqQlNoobqq8vKKgHVTH/qNi6RTd3+c3S+7RJiVT+LuU6z/Ywvr/9wiAUtYVkctVGp7NQuzv+dcVj63T/3eZDtpoRK1Jh+hajt/SzEHJ04nu6yYQUs/BaSFqq5IC1UzVlqsYdmvm1n262YA1OVlDLmtL/0n9qZTjyD6jIokenQPXpg1uSJg7TrBxjnbWfv7ZglYok5pSjXsXLGf6DE96BjgyYkzWdYuSYgWa13acUa2C6OjsycnCuR7sa5IC1UVmlQLleL6/jxT26sYMiGK/mMi6NTdD5fLWrDyLhSSuO8MmxbvYf3fu9Bk5ZjtL/2vWqjrnN+vTTsPfjv1OUf2nOG5O742rs+LbFun5QkBSKtVFXI7KfFzd2H5tAfZdPw0//fzAjqMPFWtfaWF6uqkhaoF05RqWfH7Nlb8XjG3kzFgje5Opwh/eg/rQp+4rkz75B7yzhdwfM8pNs7fydo/tkoLlqix82ezOXH4LOE9AnDxcCQ/u9jaJQnRIqXk5JOak09sB3+U139VX1xBWqiq0BJaqACw9PZfHK5Bba9iyMTe9L+hJ526++PS2qmyBet8QcUlwrnbWff7FjSlMkxDi3GdLVQAXSf248M/nmDjsgP87+nZgLRQiXoiLVQW5Xaq+P69IzqCV28YynvLNrDJaW619pUWqquTQFUFCVSm9HkFqO3VDLk9lgEX+2C5tnE2DVi7T7J57nbWzN4sAas5q0Wgsgn046f1L+Hh6cLEiFfQavUSqET9kEBl0aVABbDvjamcLyzmsYP/qta+EqiuTgJVFVpMoKoFtZ0Ng8f3ov/YSDpF+ON62UCj+dmFHN+fzObFe1j3905K0y+Y7W9xyhzR+FkIVJbCk0JtPhGyspUjcbdG8+zn95N6MoOXbvqYlPYeZttpHc2PZ5BfkKIm5PNikda+8oV5/6nxDOzRgUd3/ZfUEtM7/VSK6s220RhDlgSqRkYCVTVc8dFR26sqAtaY7nSKCMD1skuE+RcKOL73NJv/jmfN7K1oSjUSqJqqWgQq+9YuvLfgWUJ7BAJgMBgoLSvndPIFtu88yT8rD5B1vlAClag9+bxYdHmg8vNyY+67DxB/4TBvHvnWZDsJVDUngaoKEqiqoaqPzsVLhiq1isEToxhwQ09CIvxNLhHmXygkcfdJNs3bzppfN8klwqbkOgNV5+iOvLPweexb2bFn/RHmfLGKYbfG0GVQGF6eLtjYKI0BKyn1Atv2JLF47UGyLhQCEqhEDcnnxaLLAxXAwg8fpo2HI+M3P2uyXgJVzUmgqoIEqmq4RqC6nD43D5VaxZDbYhl4UwydegXh5uli0oKVuPuUBKym4DoC1QNv3Mxt08ah1+v57LnfWHnxzlKA4qggAHpG+DNyaFe6d21/RcDScjr1Alv3JrFozQGysgvr4UmJZkcClUVXBqo7RvTkmbsG89WJuSw+t8m4XgJVzUmgqkKTClSWWCtk1YBKrWLwDZH0H9eD0Ah/k0uEBTlFHD+QzJYl+1jz4xpKi00DloyBZT0KlfmlvKr6S9k7qvlg0XN06ObHhfRcnp30GRlnrxjTzM7C95dSQfc+wQyb0JNuUUG09XUzBqyy0nKST2WxY8txFm1PICPLdI5Krb154JPWLQFIyAIMFu4p2fjb02SW5jF+w4fGdb5O+dd9DmuHrPIiDctGfSuBqrGQQNXwVGoVg8d0o/8NPQmJDMDtskuEBdmFFX2wFuxk7e9bKM65/m92UTvVDVQRcRG89dtk7BzVbPlnH28/NBMc7M0PWEWgulLXgaEMHxdBt54BtPV2M2nBSk65wPbdp/hn5QHOFhSZ7SuBSgASqLAcqN7/dBz9PEO4ccOHnC2p+INHAlXNSaCqggQqK7mso7pKrWLg+J4MGBNBaFSwySXCguxCju85xeb58az+ZSOlxWVWLLplqU6geuTt25j05Gh0Wj0fP/0za+fuqHigFoFK38p0u249Axh6SxQRXf3wblt5ibBMU3GJcNveJBavOUjG+QIJVKKCfA4sBqp2j9swZ8BTrMs4wvN7K8aHk0BVcxKoqtDkA5UlTTVkXaRSqxg4LpKB4yIrWrAuv0SYW8yJA8ls+Wcva+fuMF4i1OcVmB1HLhdWX00u7wE4utjzwaLnCOrcjqxzOUyb9Cnn0/IqN7Q137euhmru1juIuIm96NYniLY+7tioKi8Rppw+z86tJ1i+YDcZF+sp9Wlldgy5XNgCyftLeoyCLQ8/goeDA50//wyALlFJ1308CVTChASqxk+lUjLghh4MHNeD0Eh/k0uEhbnFnDiYzOZ58ayZvYWSwsoQJYGq+moSqCIHhvLGz0+gtrdlw9+7eHfabPMD1mOgqjxexee8S69Ahk/oSbc+wXi1c69swSrTkpKUxbYDZ/hn5QHSMyv/EpdA1QLJ+0t6jILHoqJ4ccBA/rVqFb8fOiiB6jpIoKqCBKqmR6XXMuDGXgwc34vQnoGmASuniOP7TrNl4S5W/bjGJGCJqlU3UD3xyf2Mf2gw2nIdH0yexcZFuy1f3mvAQHU5fSs7uvTwZ8S4SLr3DMTLx62yBUuj5UzKBeJ3J7FowyHSskwvdUigaubk/SU9RoESSHjqKVLz8hk660cJVNdBAlUVJFA1QVcMFKpSKek3rDMDb4khLKoD7l6upgFrbxJb/o5n1c8bJGBV4VqBysnNkY/XvIp/qC/pyeeZNvZ9ci61+DSyQHWlTkM7MSquK5Fd/fHxcjXpg3XmbDbb9yaxeN0hzmXmme0rmpFm/mOxOtJjKl6EnybeRP+AAAZ8/x3uoQeu+3gSqIQJY6DyeQyVjQSqRsfCL81rUamU9BsTyaBxkYT2CMD98hasvGJOHExh69J9rJmzg5LCUsv9ryyN7m6o3ngtjV1N+0tFDe3Cqz8+iq2dLavm7uTj53833bAhwlMdCu8ZwPBJUXTvHVRxiVBlg8FgQFOmJfl0Fru2nmDFwr2knc2R/lfNXQt738pcKz67Ie3bMPvVu1m1K5FPS7402642QakhQ5YEqkZGAlUjdx2Bykhf8ZGvCFgRDLyhB2GRAbh7uqBQVgask/tOs2Xhblb9usnYgiWBqiJQTX3/Tkbf0x+tRsc7j33HtvXHzA/YxAIVADaV9YX38Gf4xF50i+6Al48rqssC1pmz2ezYk8SSFQdIy6howZJA1Yy0sPftUqACWPbeI7g62nPT9mlm20mgujoJVFWQQNXI1UGgMqHRVASscT0YeGMUYT0DTQNWbjEn959m8/wdrPxpveklwhYUqFzaOPHJ2tdpF9yWc0mZPDP2ffIvFFrv8l5dszGvT++oBqBLhD9xYyOIiArEq50bKpuLAUuj5UxqNtv3n2bR2oPGgAUSqJqsFva+XR6oHh4bzeM39uWTY7+xKiPeZDsJVFcngaoKEqgauXoIVGanKCqi38Q+DL4lhtDeHfBo63pZwCri5L4zbFm4g5Wz1lOcX3z99TQS1wpUMWN78K+fJ2OrVrH81y189txvlRu2gEB1uVKfVnTr7MvIYV3p0c0P77YVLVgAZZpyzpzNIX7/aRatOcDZDOmD1eQ0ox+V1XF5oFIplWz5cirpZVk8tuttk+0kUF2dBKoqNMtAZYmErGpTqZT0HdGdQeN7ENojAI+2lQONFuWXcPJQKtuW7WPVnHgKkzPN9m9Mlwsthidbldk6pVNFX6FnPrmH4bfHUl6m5b9PzCJ+7RHTDZtieKpjnXsFEjehJxF9gvFq714ZsMrKSTl9gd3bT7Bs4R6Sys0HoZXLhU1AM34/DFdMxfnZyzcT1cWfSZv/w3lN5V2vruq6vXmnvkKWBKpGRgJVE1TPgQowad1SqZT0HRXBoBsiCO0RaNKCVZRXzMkDyWxdtIuVv2yiOL+kSQYqj0BvPl76At4BbUg5ns6zN7xPQamFmiVQmbVudY70J+7mKLpHBeHt62YasM7msGNvEv+sPEjquRwJVE1BM34/rgxUYcFe/PDvu1idsZd/H6682UQC1dVJoKqCBKomqIEDlVF5ecXplUr6jolg8IRehPUMxMPLzTRg7TvNloU7WTFrQ+UlwkYcqAZM7M2LPzyOytaGxT9u4Ovpf1Y80Fwu79U1S5cLLxuuIaxrO4aPiyQiOhgf78svEWpJPpfNjn2nWbz2EClpFXOpSaBqZJrx+3FloAL458dHcFTZM2L9v4zrJFBdnQSqKkigaoKsHKhMNsvNR6lU0m9CFINviSGsT0c8vN1QXh6w9p9h68U+WIW55hP61qdrBaoXvv8/ht4Wi6a0nLfum8GeDUcrN5RAZdk1AtUlpd4Vw06Eh/owalhXenbzNwtYKedyiD9wmsVrDpJ8MWAJK2tGPyqvZClQPfqf7jwQPJx/H5rNqoy9gASqa5FAVQWTQKU075TabIJIc3ke0DCBqhaUSiWxI7syeHxPOvcIxL2tS2XAKijh1OGzbFu+n5UzV1GYa9rJvTaXC2vSX6q1tysf/fMCbdt7cProWZ699QuKC674ISrhqe7ZKAnp1p7hE3sSEd0Bn/YeqGwrfstpyspJTc5m97YTLNh2lJSzpgFLZyeXC62mGb/O52/Qc/TOZzmVn83wRd8D0C0otU7PIYGqhZBA1QQ18kB1JaVSSezQMAZPiCKsVxAeXq6VASu/hKSDyWxdvIeVP28gPzPX/AB1HKiG3DOI5z6/DxuVDQtmrmXma3OlNaqhWGjd6tQniOHjIomMCsKnnXtlwNJoSTmXzc69p1m88gCnz5vfRSiBqoE049f53Fgtf464gz5efvSe8wXnS4slUF2DBKoqSKBqgppYoAKgrLLlSalUEjOyG4PGRRIec+kSodIYsE7tP83WRbtY8eO6ihasOgxU//plMgMm9qGsRMPrd33Jga3HKx6QQNUwqnG5MKSzD0Nv603PCH98vd2wVV0WsNIqhmlYsvYQZ85mS6BqKM34dT43VktPT1/mjbqbeScP8dzWpRKorkECVRVaTKCypDk9t6YYsi5SKpXEDO/C4Bt70rlnxV2El1qwigtKSTpylu0rDrDyz20U5FRcItTn5ls4kPlrcGk4BM927nz0zwu08XHj5JGzPH/LZ5QUXXZ5UcJTo9WpaztG3BRFRGxHfPwuv0So5WzyBXbHn2T5or2kJJ0HoMTH0ewYcrmwlprxa1XYruKzsf6tx7C3VREz/Uv8JphPmFzXoagujieBqpGRQNVMNOFAdSWlUkl0XDiDx/civFegySXCSwFr68IdrPx5EwXZhZftaDlQxd0Ww1Mf3Y2NUsmcL1bw40crzE8qgarxu9i61THcl+ETexEZ0wEf/9bYXnaJ8GzyBXYcSmbJqoOcSblg3FUCVS0149fqUqB6ckw/Ho7rw/M//cORIPOfERKoKkmgqoIEqmaiGQWqKynLtUSP6Mrgib0J732pD1bFJcLi/BJOHUph25LdrPx1s2nAAl6fO43YURGUFpfxyu2fc2THKbm811RVcbmwY5gPI2+IJLJ3ED7tPUwCVuq5HHbuO83C9RWXCC8ngaoGmvFrdSlQ2atUbPvfZE6lX+DpE/82204CVSUJVFWQQNVMNONAdXn/K6howYqKDWLo7X0JjwmhtW9lH6ziglKSDiVzYv8Zht7WFxcPJxL3nebFiR9TWnzxOBKomqZqDtfQrl8AY+O60SsikHbebpUBq1xLalouOw9UjIN1KvWC2b6iCs34x8ulQAXw05RbiQzy5Y5t0ynQmt6BLIGqkgSqKlwzUFnSXIJIc3ke0LwDVTXep+i4Lgy5oQfhUUG09q5swfr981X88tEy040thSeVhQFqLLE0Ppdo1II7+zDi5t70uNgHy1ZdcaOCRqPlXEo2e+JPsnzhXs6cypL+VzXRTF4DrUPlE4kM8WXmy7fzx9EDvLRhpcl23bqcqfdaahqyrBWozO+dFkI0G/GrDxO/dJ/x669WvURQeDuO7jHvXCpallNH05jx3yXGr4PDfBhxUy8i+3Winb8HgR3actOdsZRrtKSm57Jr32n+WXWQU2fOW7FqYQ37Es+RW1jCuA6hZoFKVJIWqipIC1Uz0cJbqADQVI7k7uBkx9wj75F6KpPHhr9rup20ULU8V7lcGNzJi5HjI+nRJxhfv8pO7uWXLhEePMPitQc5lVx5iVBaqGiWLVQAT942kLtHR/Ho8gWsPH3CuF5aqCpJC5UQLUhJYRn7tyYS2T+U9sGepJ7KsnZJopE6dTyDrz+suKurxMeRjoGejBnejV4RAbT3cSPIvw23ju1FebmO1PQcdh5IZsn6Q5w4I5+p5mjm31u5c1Qvno6KNQlUopK0UFWhRbdQWdKcnltzabW6zvfEJ6A13697mQPxJ3npnpmVD1S3Naq6pNWqWQvs7MPIm6LoEdsR34DWxj5Y5eUVfbD27khi+aJ9HCk0HxutxfW/auTP7crWKACtnfm6WS/fTjd/bwa88hX5JRU3s/jcaN5CpVbq6r7IK1yt1UpaqIQQDSLtzAXOHM+gW59gnFzsKcyv2wlPRctwOjGDb/73j/HrwBAvht8WTc/oYHzbexAQ3JYJt0dTXq7jbHouu/ef5p/VBzkhraJN1sEzaXQP8GH9W//H1mNnWL43kf2koKV6szY0d9JCVQVpobpCc3puLbyFCiByYGf+O+th1izYw4cv/FmxUlqoRE1Y6H+lc6oceiOwoycjb+hBj74daO/rjtr2UguWjtSMXHYdTGbp2oMknq4IWNJCZT3XaqHycnPii6cm0sG3DXq9Ho1Wh52tCoWiYmDhHE0BCfmnWZe5l83n96NSlpsdr641xhYqCVRVuK5AZUlzCSLN5XlA8wlUllT3fVIo+XX7a7i4OTIh/GX0ej3YWeiUXtckZLVYAR29GHlLFD36dqJdYJvKS4QaLWkp2ezdc5rlC/dyMjHDuE+pj4PZcXTqZnK50Eo1lzuan1hn4fKe9uJIGU+P6899g3uhVChYfjCRl/5cjlavx0Gt4oYe4cRFdKSrtxcu9nYoFAr0BgNZRUXsTjvHwoQjrEo6CYBTkPkk3u1czdepFNVr7ZJA1YRIoLpCc3keIIEKQKFk3D19mfzmTfz66Up++3SlBCrRcGyUBHT0YvhNPenZtxPtAtqgtqtswUpLzWbvriQWb00g8VSGya4SqGqnuoEqNMSLzx4aj6erE1n5RTz53UIOZGWYbVfuVPF/J7Waid3DGRnWiTBvT5zVamPASi8sYF/eaRaf3c+WzOPGfSVQVVN2djZTp05l8eLFKJVKJk2axKeffoqTk1OV+5SWlvLss8/yxx9/UFZWxsiRI/nqq6/w8vIybvPkk0+yZcsWDh06ROfOndm3b5/ZcQ4cOMDkyZPZuXMnnp6eTJ06lRdeeKFG9UugukJzeR4ggQpAUfFLaf6ht9GW67i1x2sSqETDsXC5sH13P0beEEmv6GDa+bdGfakFS6vjbFouew6cYenqQxxNNe+DJYGq+q4VqJRK+O+DYxjeKwS9wcAvG/bw0eJNF7ezcDwLv9K1znrc7O25NbwrccEdCWvjSStbWxQKBTqDnoySPHZfOMOW7M3szztusq8EKgtGjx5NWloa33zzDeXl5TzwwAP07t2b2bNnV7nP448/zj///MOsWbNwdXVlypQpKJVKtmzZYtzmySefJDQ0lPj4eA4cOGAWqPLz8wkJCSEuLo7p06dz8OBBHnzwQT755BMeffTRatcvgeoKzeV5gAQqMAaqx14dz4QHBvK/J39hw6oj9VjYRRKoBFyz/xWAf2Ab4u6MondkIH6+HiYB61xGLrsPJrN43SEST2VKoKqBqwWqwREd+PcDo2hlr+Zk+gWemPk3abkFl21n4XhVBKor+YdqmeTfi0HeoXR09sLBpjJgZZZmcyD3BCvTt5NYeLJaz6PFBKqjR48SHh7Ozp07iYqKAmD58uWMGTOG1NRUfH19zfbJy8vD09OT2bNnc/PNNwOQkJBA586d2bZtGzExMSbbv/HGGyxYsMAsUH399df861//Ij09HbW6Igi99NJLLFiwgISEhGo/BwlU1dCcnltzCVk1fE9UahULDr9DVlouD8S9b75BQ7wuErJENfh18GTkzb3p2S+EdoGVlwi15TrOnc1h384kVi7ZR+LRNKCJ9r+q41rKW1noG2Vvvs7eTc0XD91Iz+B2lOt0vL9wI7/t3m+2nc78JbWoOq+pt7MTt/TsypCOwXRo44G9qqKTu1avJyUvj62pZ/jz8CEOZmXg3iHHbH8vpwKzdZdat8qLNKwYPbN5DJuwbds23NzcjGEKIC4uDqVSSXx8PBMnTjTbZ/fu3ZSXlxMXF2dcFxYWhr+/v8VAdbVzDxw40BimAEaOHMm7775LTk4O7u7uFvcrKyujrKzM+HV+vvnYKUI0N1qNlvg1R4gd0ZVOXdtx/NBZa5ckhEUpJ7P47t2lYLMcgPZBnoyc1Iue/TrRPrAN42/pzfhbeqMt15F2LofdR1L5Z/UBjp0w7/cjKt0xOJKnbxqIrY2SnSdSmfr9Ioo1GrAwV3pdSi8o5PNN2/l803YA2rm6cGtkVwaFBBHs7sFd3SK5q1sk5TodqSUXiD9/kvnJuzhR2Hjfz3oJVOnp6bRt29b0RCoVHh4epKenV7mPWq3Gzc3NZL2Xl1eV+1R1nKCgILNjXHqsqkD1zjvv8Oabb1b7PEI0F1+8OpfYEV154vUJPHPLl9YuR4hqSU3K4vsPlvP9B8vROdnjF9CakeMjiYrpSHt/DyYEtGHC6Ei0Wh3nMvLYcyCZJRsPc/RE9X+fNGc+Hi58NXUigV4eFJaW8fSPy9h01HpzfJ7Ny+fjDVt5b89mAILd3Lm9SzcG+gcS5O7B7YFtuT0wFo1eS3LRBfbnHmF5+lZSSzKtVvOVahSoXnrpJd59992rbnP06NFaFWQt06dPZ9q0acav8/Pz8fPzs2JFQjSMnKwCju1PJjTCH3dPJ3KyCq1dkhA1lnLmAt99vobvPl8DgGeUL+OGd6/og9XOgwmjIysDVmYeuw8l88+6wxw52fIC1nM3D+KOwZEoFAqW7jjK9L+Wo29kY3Oeys3hv1s28t8tG3HvkENHJy8m+PUipk1HAlq1oaPzECb5DUGjLye1OINd2QmszNhMRumFax+8ntQoUD377LPcf//9V90mODgYb29vMjNNU6NWqyU7Oxtvb2+L+3l7e6PRaMjNzTVppcrIyKhyn6qOk5Fh2iR46eurHcfOzg47Ows97mrLUhe15tT3qLmw1I+nKfarus7P21evzePThc8w5bUJ/HvKL5fvXHe1VaW6r7P0tRIAOvPf/DZ5xWbrstec4Oc1J/j54tftAlsz8pZoevXvRPugNkwcEcnEERUBK/1sLvt2JbHyn/0kHDprsf+V1sJ0OXXO0kfcwreHpWEOdBZu0tVd0V+qW6A3H//feFo7tyIjt4ApPywk4VyWxc7munq+5AdgaYB12zzz17lwT2v2oWUf8UA8AF18PLklshuxgf74u/kS7N+eW/yGUarVsi/5NCuYaXac+lajQOXp6Ymnp+c1t4uNjSU3N5fdu3fTq1cvANauXYteryc6OtriPr169cLW1pY1a9YwadIkAI4dO0ZycjKxsbHVrjE2NpZ//etflJeXY2tb8QlbtWoVoaGhVV7uE6KlO34wlYzUHKKHdkalVqHVaK1dkhB16uzpC/zw0XJ++KiiD1a7gNaMnNSbngNDaB/QmnGTohg3KQqtVkdaZh57D6awdPVBjiSmWbny2lMplfzvwTEMjeyI3mDg2zXxfLZsq7XLqpXDGVkcXrHW+HWPdj5M7N2F2HZ+hLa+dk6pD/U6bEJGRgYzZswwDpsQFRVlHDbh7NmzDBs2jJ9//pk+ffoAFcMmLF26lFmzZuHi4sLUqVMB2Lq18o0/ceIEhYWFzJgxg3Xr1vHnnxXTZoSHh6NWq8nLyyM0NJQRI0bw4osvcujQIR588EE+/vhj6wybYElzaaFqLs+jKk2xhcqSar5Pg26M4qVP7uTvHzcx850lFSst3N5uNdJCJWrrKsM1tPPzYNT4SHrFdMQvsDV2F8dluxSwdh9O4Z91hzjc0H2watlCNbxHJ964ZwQOaluOnzvP/33/N1n5RVccz9K+11twA905aeFHk8a1oslLX1JKyvOvNI9hE6BiYM8pU6aYDOz52WefGQf2PH36NEFBQaxbt47BgwcDlQN7/v777yYDe15+qW7w4MFs2LDB7HxJSUkEBgYCpgN7tmnThqlTp/Liiy/WqH4JVNXQXJ5HVVpYoMLWlr92vo5KZcNNPV6rWCeBSjQn1Rj/CiqGXGjn48a44d3p0yMQ/3YepgErK589h1NYuv4QB+u7Bes6A5Wzox2fPDOR7kE+aLQ63v1rHX9vPYTWwtAHEqjqhkw9UwUJVLXQXJ5fSwtUCiV3PTWCu58awRevzuOf37Y1zOjptSEhSzQQn8A2jLw5iqh+IbQP9sTOvjJgZaTlsn/3aVb8s5+9meadomvT/8rSxMV6C9+Wl29337AoptzQF5VSyfbjyUz9aRGlFy/j6y38Oqvr/lLWHttLV1rKqbdflkDVWEigqoXm8vxaYKBSKpUsOPJf8nOLuTvmLQlUQlxyReuWj58HI+6MISqmA34X5yJUKBRodTrSM/LZeyiZ5WsPcfDouQYLVH5tXPnyiYn4e7pTUFzKc7OXsuXYGdN9JVDVm3oZh0oI0TTp9Xo2LNnHsIm9iOzXiX27Tlu7JCEapbSUbH74ei0/fF3RMdqnnRsjb+hB1IAQ/Nt7MG54d24YEYFWpyctK4+9h1P5Z/0hDh47Vy/1TL9lKLf0745CAQu3H+b131aibYg79YSRtFBVoV5bqCxpLq060Lyey5VaQKuVo5M9c/b/h+TjGTw+4bMGLKqOSKuVaAS8/dwZeXMfogaE4NehrbEFS6fVkXE2hwP7U1j5z34O7U827lPibd7BqdjTvN3j8n5QPYN9+ejh8bg7OXAuJ5/JPyzgeEbFZUeLrVH1MDrQlaSFSgghgOLCUg7Gn6R7TEd8/FuTlmy9gfKEaKrSU3L46eMV/PTxCrBR4tXOjZGToogaEIpfsCcjb4hk1Pge6LR6MtJzObDnDIu3JXDgaGq1jq9WKXn/gXEM6hqMXm/gq5Xb+Gr19np+VuJqpIWqCtJCVQvN6blcqQW0UAG0D/Zk5uqX2LftBC8/9EMDFVVHpIVKNDYW7i5sE+rFqPE96BPbCb/ANthdasHS6UnLzGPfoRSWrT3M9vPmwzQM7x/KG3cMx85WRcLZLJ746m+ytOaDm0oLlbRQCSGsLPVUFiknMomI6YCjkz3FhaXWLkmIZiUjLY+fvlnPT9+sB8DLx5Vhd/QmpmcwgX6tGRvXjXHDu1cErOx8dh9LZevBJB4aG00nP0/KtDpe+20li3YcqTig9JeyOmmhqoK0UNWx5vL8WkgLFUDUoDD+PetRVs7dyccvz618oDGNTVUb0pIlGjFPHzdG3dKbyHFdCfLxwN62ogXLYDCw+dhpnv5lCaXayhkNLLVGWVrXEFpqC1Uz+ckohKhruzYkkHO+gME3RFq7FCFanKy0XH75bBV3vTubvk9/wZhXvqewtAyAl/5cbhKmROMggUoIUaU/v16L2s6W2x8fYu1ShGjR0nMKeObrRQBMG9PfytUISyRQCSGqtPCXrZQWa5j4wEBrlyJEi7freCo5hSWMjgizdinCAglUjYXBYL6IxkdvMF+aoup+3rQ6VszZgYubI/2HdwGtrmHrrE9KhfkiRCPTZl+RyfLPX7twVNsyvndnDLYYF73afLEWhcF8aQkkUAkhruqHd5eg0+p54IUx1i5FiBZv9k+b0er0/N+QaGuXIq4ggUoIcVWaUi071x/Fx781weG+1i5HiBZNq9Wz9eQZ/D3c8PNwtXY54jISqIQQ1/Tl6/MBmPzWTVauRAjx7tINAEwfM9i6hQgTMrCnaBiW+ug0l7GpmjODHoDz53I4fiiVzj0CcGvtRO6FQisXVk8s9aNqqv3kRLOgsvC9lrU3m3NZefTvFIDLWQN6PeR1lJ+n1iYtVEKIavn69XkAPPHKeCtXIoT4cfEOVDY23D9O+lI1FhKohBDVkrA3mcyzOcQOC0elkh8dQljToo2HKC0r55a4SGuXIi6Sn4qNmQyl0DS0oKEUfv5oGSpbG+57agTo9JVLc2ZpeAUZckFYkdvRQtyOFrJx9RE8XBzpp3azdkkCCVRCiBpY+/duCvNLGHO7XGYQwtq+/XQVAI9MHW7lSgRIoBJC1NDiX7fi6GTP6NskVAlhTXm5xZw4lk5Y1/Y4qa04kqcAJFAJIWro189WU67RcueUYdYuRYgW78ev1qJUKnhumMzvZ20ybEJT08iGH2jb3oOftr1usu6n9//hj89Wmm3r0MqOW6cMp//o7ni2c6e0WMOxvWeYP3Md+7cer9iojp5Lu+C29BoYSsdufnTs1h7/jl7YqGwqavt8VZ2cw5KO3dpz6xNxdO3TgVYu9mRn5rNjzRFmf76SPAu3Pw+6oQcvfX6vyboXbv+Cg9tP1luNtaXXlLN52QEGj+9B96hADmw/CTbyt5kMuSAaik1hqfHfe1cfJj+3mBu6debNxWtNtjPIb/gGJT8FRZ0oKSpj1Zx4Vs2JJ+nIWbPHXVs78dk/z3L7lOE4ONkTv+owyYnpRA3pzH9/f4Lx9w+o03rG3dOPx9+axPBb+hAU5ouNyqZOj29J/zERfLzgGQaMjSTzbDbbVh3CoDcw/v4BfLX8eXwC2pjtk55ygVVzd7Bq7g6ys/Lrvca68vWbCzAY4LFXb7R2KUK0eMvn7MTJTs2YriHWLqVFk/wq6kR+diEfTZtd5eNPvnsb7Tt4sXfTMd588FvKSssB6D0knNd/eJhH37iJA9tPcvpYWp3Uc/pYGnNnrOXk4VROHErltinDiZvUu06ObYmHlwvPfnQnKlsbPnvpT5b9sR0ApVLBtA/uZNhNUbz46d08PeETk/2O7Uvm2L5kAN79YzIeni71VmNdKsgt5vDOJLr2CcLbz4P0zAJrlyREi/XLl2uY9NAApgyOZemhRGuX02JJC5Wod/6dvOg7sjs6rY5Pnv/dGKYAdq47wqo5O7CxUXLblLg6O+eKP7bz/X8XsX7hHlJPZmKo50svEx4ahL2jHXs2HWPZ7G3G9Xq9gS9emUNhfgmhkQH0HBhar3U0pC8vDvQ5+d+TrFyJEC2bVqMlPimFoDbu+Lg6W7ucFksClah3fUd1B+DIriQyz+aYPb5+wW4AouO6YmOjaJJjb/UdWfEcLz2Xy8ekKi0sY/uqQwD0u/haNBmWxqYy6MGg58yxNFKTsujZrxP2DnKHkUUyXpWoD5ePAXdx+eS3ivn9XhkyCMcMcMywco0tkAQqUe86dGkPQOL/t3ffYVEd7d/AvyywC4hLky4giAIqCqIgih1L1MeaoiGJMdaIiRFfjSbmIY/52WKiSSyxRMUUS4g1oiIqGAVERVCpQcVKU+nS2Xn/QFZXFgTZ3bPl/lzXuRLmtHtm18PNOXNmrt+Xuj7jet0jL/02Atg6missLll5Me6MRutYV96xi63C4lKEHSuOgqfNw6wlo7kOhRCNdjPrCXLySzDA3Qk8+s3OCWp2IneWdmYAgEdS7k4BQFlpJZ4Wl0tsq0os25uK/z8vS3odHz8rt1LB+jUl7mwKCh+XYOg4T65DIUTj7T51Bbo62nhvaC+uQ9FIlFARudM3FAAAKsoqG92m/Nk6g7Z6ColJlurrBwAVZVVStxHXz1D16vcqoVvOgi/QxVszBnAdCiEa7c9z11BZXYN3h9IfOFyghEod0Jx/hEMHd5xDZXkVJk0boDnz+7UG9asicmCaUgbTlDJEn0uHuVEb9Kk14jokjUMJFZG78tK6uzN6BoJGt9F/tq6spKLRbZRVff0AQM9Aeudscf1KVa9+zRFxKB5Gpm3g69+F61AI0WhbNtYNXPyxDN+aJs1DCRWRu9wH+QAAc1sTqesNDAVoI9SX2FaV5D18HrOFjfQ6tntWror1a47tq4+htlaE6YtGcR0KIRotP/8pMm8/Qlf39tDXoaEmFYkSKiJ3t5Lq3nDr3N1O6vpO3e0B1I22/vB2XsMNlPyRZllpJR5mPgIAdGq0jnXlN5MeSAypoJKkfB5VpZWI/ycdNh3aoUNHc6CmlusoVYu0x4D0aJC0gM6TMvHy67pw8Hg8LBjcD1oiSCxEfih9JXIXE34DUxePQZdejjC3McGjl96EGzTeCwAQdzoJtTWq+S8+Jvw63pozFIPGeyEi9JLEOj0DPnz8uwIAok9c5yI8hdj41QHsPv8lApdPwqJ3NnEdjsqxsDHG7jOfS5Tt/vEU9m2JlCjrPcAFnbvboVNXWzh3s4WZRd3o+u8PWInHubKfvqhjFxt49OkI5662cO5qCxsHM/B4PHy7aB8ijybK/Hz1PHydMXGaHzp3t4OePh95WQWIDk/C/m1RUl/+eGvmQHz0/96QKJs6ZI3Use/U3cWoNJQWl2OiR1esCj/HdTgag+5QEbm7928OYsKvQ1tHG5+tnQK+nq54Xa9Bbhj2ljdqa0XYv/F0g30DFozEifs/Ys2f8xQSq3sfZ5y49wNO3PuhRfsd3nEOFWWV6NnfBSOn9BGX83haCFzxFtoaGSA98S6u/pMm44iVx6OsQtxOeYguXh0gNG3DdTgqq/xpJSIOxSPiUDwy0xpOxbT4+8l47xN/+AxxEydT8vRu4FDM+Hw0Bo3xQHtHc/AUMMjR+Kl+WBUyA179O+NeRi7iIlPRxlAPkz8egp8OzIPQxKDBPnf+zUHEwXhEHIxH+dPG3yjWFOEH49FWT4Bhrh25DkVj0B0qohA/fb4f9p2s0HOAC3Ze+ApJl27B2Kwt3Pt0BI/Hw8//PYA7aVkN9uM9e8xRU92yO1cdu7XHvP97U/xz/cTEowL6wmdoV3H58lk7UZD3/K/65+dr2SOr/NxifL9wD5Zs+ADz10zGiHf6IPdBPjr3sIe1Qzvk5xVjzSe/teiYqujn5Uewdt9cfBw8AWsW7+c6HJVUXFiGdV/81ej6mIhkPLzzGDdTHuJWchb2XfxKrvGkJd7DvYxc3EzJwq2ULCxY+Sa6+zjJ7Xwd3Wwwc8ko1NbU4uuPd+PKP3Vz0wn0dBH88wfw7NsJn3w9ASvm/yGx3+Vz6bh8Lh0A0N3bCfptGn8JRhPs3hCB8R/0xSeD+yIi7RbX4WgESqjUlbR+Rlrc9cEoelKK+aO/w9uBw9BvVA/4DnNHRXkV4s+l4eDWSCRGS5/Q09m9ru/Rqf2xUtc3xsBQD649OzQoN7cxgfkLHcd1+ZL/BJzd60Z1D99/sUXnA4ALYdfw2b31eCdwGLp5O6Fj1/bIzyvG0ZDz2PtTOAofl7b4mCqD1SW8yZdu4XF2IfxGdsP3X4SiRkUf4SotnhbWLzug0FOGblfsI6O3Zw8Cj8fDib8uiZMpAKisqMYPXx7AztOL4TfSHe2dzPHg9iOFxqbMtF7qt1hdWouE21nw6mgLW1EbPCp+CgCoNJW2N5EFSqiIwpSVViJkzTGErDnWrO11dLXh3scZ/16/h3NHE1p0rhsXb+IN+89aHGPPAa6oKKvEH+tPtnhfALh54wFWzNn1Wvuqi99/CMeCbyfjvU+GIWR9ONfhEBWio6sN74GuAICoY4kN1udlFSLl6l2493ZEX/+u+HNblGIDVDFrj0RhX1AAFo0fiMW/Huc6HLVHfaiITAhNDRG07l0ErXtX3AG7tbr0coR+GwF2rfpbJsd7Fb5AF117O+LQL+dQ8KhEIed08bBH0HdTEPTdFLTvaKGQc8rbqdBLeFpSgTEv9CUjpDlsO7QTj+WWkfRA6jb15R272CgsLlWV+uAR8opKMbgb9aNSBEqoiEzotxFg2Fs+GPaWDxxlNAHw9dibeMNuPhIvSH8cKGtVldUY33kxfv1OcX/JWdmZYdib3hj2pjdMzeXfwVhRwn6PRpu2ehg+0YvrUIgKsXo2L2ZJUTnKn0qfxulRdtGzbaWP+UYk/RZ1FQJdHbzb34PrUNQePfJ7FSUb80jZ5D3Ixxt28xV/YiXrI/a6zh25inNHrkoWquJ4Qy99Hr99fxwTZwzCe/P8cSr08vMV2vQ3nNy8OFaVio5xpt+m7u5UZbn0ZAp4PieoOs6LKWtmKVUIS7mI+aP9MM3PC+FbLyHLT/psDvKmJeUryVTwUtcUuroRQmSupkaE6IgktLMyQtdeHbgOhxCNFnPxJizM28LJyZzrUNQaJVSEELnYvPwwwICPl43lOhSiIuof8wn0G7+Loqfm82LKw6YtdWP8Bc4eynEk6o0SKk2i5FO4EPVSnFeClKt34ORmA3OLtjQdjSKp6FQ2uc/mxWxrpC9+/Pcyc2ujZ9tq3gjoLSXILoEguwTFN7Jx//Yj9HC3g562DsAguRCZoISKECI3m/57EAAw75tJHEdCVMGDzMfiaWU6dWsvdZv68pvJDQcCJo37dfMZaGvzMG8gvX0rL5RQEULkJjMtG1l3HsNrgIv4dXhCGlNTXYtL5+qmZxo0xqPBegsbY3TxrJtMPeZ0siJDU3kXIpLxtLQCb/d05zoUtUUJFSFErnasDoO2Ng/Tl4zhOhSNFrTyTZxIXYWglW++emMZ8J/ghRPpqxHy0oTPr/LntiiIRCIMn+gFr/6dxeUCPV18tmIStHW0ceHkDRol/TWc+TsRRvp6GNjJketQ1BINm9AcavKKvtpTl89J2ivvStjf5ZWeTUcTe+o6ivJLMWxSL2xaoZhBWtXZlI+HwHugS4Py4M0fiOegvJmShU3Lj0is16qfp/LFvmzSvlcvff96D3TBu3Ofd2a2d64bgPa9ef4YG9BXXL7gnc0S+/Gkna8ZbqVkYfvq45j9xRgs3/YhblzOROGTUnTr5QgzCyHu387Dhq8PteiYmkrrpTlJQ747gTHv+CBoYF/EJGSKy6vbKjoy9UQJFSFE7g5sj8JHn4/BxA/9cDDkAtfhqDRrO1O49rBvUO78woC6VZU1DdZ36lq3/tSBKy06n5GpIVw9Gp7PxqEdbBwa38/52fnC/7rc+EaNOLz7Au78m4OJH/WHi3t76BnwkZdViH1bIvHntshGB/1UZxa2Jth9VvJu3+4fTmHfz2fFPxuZtkGv/i7w6t8Znd3bw9zaCCIRw6PsQlyNvomDIedx7V42PBysYWpogPzSslbH1cXKAn062KGrtQW6WlvCwdQYPC0tLDp8AkdvpLX6+I3p62iPaT490d3GCvq6usgqKkZ4Wga2Rl9GSQU3b4BSQkUIkbvQLWcRMH8E3poxkBKqVlr3xV9Y98VfLdrHzEIIB2dLREckIe3a/Rbte/pQPE4fim/RPgDQs18nPM4pwpFfo1u8LwAkxt5EYuzN19pXnZU/rcSF8CQAdX0UXzRr6RgMGeuJ2loR7mbk4uLZVOgZ8NG5W3uMe78vhk/0wg+nY+DhYI1FYwZg6b7Xm7P0RYEDfODv4tzq47TEh96e+GL4IIgYw5V7D/H4aRl62dniYz8fjHDthLe3/arQeOpRQkUIUYizh67gjSm+6D3QBZfPpXMdjtISGhuI+zlFn0pCXFTr/8rv2a8TamtqEbL+VKuP1RwWtiaw7dAOP3x5QOrdMnnoPdAF/Ud2BwAITQwUck4uFBeUYd3SUKnrSgrL8NtPEQgPvYwnecXiR7p6BnzMXz4Rg0b3wMf+ffCkpAzD3DvJJKFKfJCDjEdPkJKdh5ScR1j5n2Hw6WDX6uM2xs3SHEuGDUSNSIQ5+4/gn1t3AAB6OjrY8s449HW0xzdjR2LUlwvkFkNj5NYpPT8/HwEBARAKhTA2Nsb06dNRWlra5D4VFRUIDAyEmZkZDA0NMWnSJOTm5kps8+mnn8LLywsCgQAeHh4NjnHnzh1oaWk1WC5evCjL6qkPGpuKyMtL36tt3xyGqFaEmYtHAbWi5wuRoN9GgGETvDBsghccXa1lcsyIQ/EY474MDzKb0ZFbBuNV5T0swBsuS17rcd/r6tDZCsMmemHYRC/otxEo7LzKZMuKv7Fn05m6ZAqo6w8nYqgorcQPX/yFstIKGLfRx/Ub96Gnq4OpHbrCJKN148Ntj7mMHyJjcCrtJh4UFsmgFk2b3c8bPC0tHLyWLE6mAKCipgZfHDuFWpEIb3RzhYtLw36G8ia3O1QBAQHIzs5GREQEqqurMW3aNMyaNQt79uxpdJ8FCxYgLCwMoaGhMDIywrx58zBx4kRER0veMv7oo48QFxeH69evN3qs06dPo2vXruKfzczMWl8pQshrqyirwtWYDHj5dYaDsyXu3sx99U4aJC+rEG+4LeU6DJUVuv0cQref4zoMpVVZUY0HmY/Q2d0ONzPz0N+nE96b5IOjEY3/HlU2ujweBjnXvaH4d1LDO7dZRSW4+iALve3bY8KECYoOTz53qFJTU3Hy5En88ssv8PHxgZ+fHzZs2IB9+/YhK0v6YGxFRUXYsWMH1q1bhyFDhsDLywu7du1CTEyMxN2ln376CYGBgXBycmoyBjMzM1hZWYkXXV1dmdaRENJym74+DACY+/V4TuMgRNNo6/BgaWsCAHic/xRxVzNhZSGEQ3vVudnQwcwEBvy63+VJ2dL/IEvKqiv39PRUWFz15JJQxcbGwtjYGL169RKX+fv7g8fjIS4uTuo+8fHxqK6uhr+/v7jM1dUV9vb2iI2NbXEMY8eOhYWFBfz8/HD06NFXbl9ZWYni4mKJhRAiWzn385GZno1uvRxhKNTjOhxCNMaIN3vDyNQQFZXVuHg1Ez/tjAQAfPLRIG4Da4H2xnXTDhWVV+BpVbXUbbKLSwAAjo6KH2tLLglVTk4OLCwsJMp0dHRgamqKnJycRvfh8/kwNjaWKLe0tGx0H2kMDQ3x/fffIzQ0FGFhYfDz88P48eNfmVStWrUKRkZG4sXO7hWd6qjvkWpQl8/pWV8IiUUV1dRi6/Ij0NJ6Nmkyze+nGlR0bkBSp0NnS0xfPAoAsHdrFKoSc1B88T4e3nuCXu4O0OGpxhjfbZ7dnSqvlp5MAUDZs3VCoVAhMb2oRa24ZMkSqR2+X1zS0uQ37kRztGvXDkFBQfDx8UHv3r2xevVqvPfee1i7dm2T+y1duhRFRUXi5f79lr1aTAhpnusXb+FJbjH6j+oBnopcyAlRVe0shfj65w9h0EaA2DMp2L/zvHjdnm3noK3Dw7wBNL+fLLToarZw4UKkpqY2uTg5OcHKygp5eXkS+9bU1CA/Px9WVlZSj21lZYWqqioUFhZKlOfm5ja6T3P5+Pjg5s2mxzMRCAQQCoUSCyFEPvZsOAVdvg4C5g/jOhRC1JZJO0Os2j0Tlu1NcOV8OlbN/0Ni/dmwaygvq8I7PbtzFGHL1D/m02+iT7TBs3VcdNtpUUJlbm4OV1fXJhc+nw9fX18UFhYiPv75YHBnz56FSCSCj4+P1GN7eXlBV1cXZ86cEZelp6fj3r178PX1fc3q1UlMTIS1tWxeP9YI6vKYTN2p4mNAJgKYCCf2xKKstAJjp/pxHRGRJXoMqDSMTNtg9e6ZaO9ojqvRGVg+9zdUV9dCq7JaYok6lgjTNvroa9Me2hUQL8ro4bNhGYz09cSP/15mLaybR+fOnTuKCktMLvfb3dzcMHLkSMycOROXLl1CdHQ05s2bh8mTJ8PGxgYA8PDhQ7i6uuLSpUsAACMjI0yfPh1BQUGIjIxEfHw8pk2bBl9fX/Tp8/x25M2bN5GYmIicnByUl5cjMTERiYmJqKqqm4pg9+7d2Lt3L9LS0pCWloaVK1di586d+OSTT+RRVULIazqxNxaGQn0MGav4t3EIUWdGJnXJlL2zJRJiMvC/j3ejukr6AKs7vz8BEWNYOKK/gqNsucwnBSh7dpeqm7Wl1G262dSVX716VWFx1ZNbB4Y//vgDrq6uGDp0KEaNGgU/Pz9s27ZNvL66uhrp6ekoK3s+l9D69esxZswYTJo0CQMGDICVlRUOHjwocdwZM2bA09MTW7duxb///gtPT094enpKDMfwzTffwMvLCz4+Pjhy5Aj279+PadOmyauqhJDXEPJtGGpqavHBp/TYjxBZEZoYYNXumejQ2QoJMRn4es7uJkerLy2uQNKDXHSxtYSxgXK/eVstEiHqZt2kzv/p5tpgvY1RW3i2r7tpc+iQ4ifQltvAnqampk0O4tmhQwewlx4l6enpYdOmTdi0aVOj+0VFRTV53qlTp2Lq1KktipUQong1NSJcjEhCv5Hd4drDrsVzzBFCJBka6WNVyEw4uljhanTdnanmTP2zLvw8dk1/EzFffoxDV5Px5QH5T1E0oXsXrB43Ag8KizBk485m77ct5jJGunXCxB5dEZ6agfO37wKom3pm5Zjh0OHxcCIpDenpip/eiubykyVpfY20qA+B0qHPiTsvtf2mr/5Cv5Hd8fGysZg/ccPzFdr09p/akNaPShX6+6mgz/5vEpxcrSESiVBSVIZ5X0sfLTz2dDJiz6SIf06Luo+qD2oh4OuAVySC8C5DgUvzrokDnR0xt//zvtHO5qYAgHkDfBHQy0Nc/s6ufRL78Z5dc2tELZt+KiUnD6sjzuGL4YOwfcoEXLr7APlPy+BlbwvLtoa4/TgfXx1t/RyFr4MSKkIIZwoflyI18R7cPOzRzsoIj3PkPxcYIeqqrVHdpNA8Hg8DR/VodLvchwUSCRUAlFVUQcDXwZPCpy06p6mBPjzaN3zpy8HUGA6mxo3u19W6bqzKvxKTW3Q+AAi5lIB/Hz3BRz494W5jBQO+LrKKSrAl+hK2Rl9CcVl5i48pC5RQEUI4tenrQ9h4eD4Cvx6P/83ZzXU4hKiszz/Y9uqNpDA3MYSJ0AAixjDM1wXbDsQ0e99D11Nw6HrKqzd8ST8nB+QUl2D3pdfrPB6TeQ8xmfdea195oYSKEMKp26nZyL6fj94DXMHX00FVxav7fBCiqYQmBgha9RYAIPpUEuIiU1t9TG93B9TUinDj3yx4uNrC1tIIBZDfOE62RkJ0MDPBl8ciUKlGsyVQRwXSPDQ2lWpQxbGpamqxa00YtHV4+GjhGzQdjSagqWxem34bAYZN9MKwiV5wdJXN+IoXtl/E6D7fYONXhwEAi8bLd3y4h0XFcPlmPf5KSIIWg8SiyugOFSGEcxdOXEdxwVOMeMsbW/53mOtwCFE6eQ8L8IbLErme48HdJ8jJKkAvX2fwooCWdRcndIeKEKIUDu38B3oGfIyj0dMJ4czeneeho6ONOX7SZzUhjaOEihCiFPZtOoOqymq8PXcI16EQorHCjyaioqIaAb0bf0uQSEcJlbxR3yPVQJ8Td57N7wcmQtSRqzA1F6Jnv05cR0WUAfWrUgje00qJ5fzJGzBrYwAvaxvwqiFeSNMooSKEKI0tyw9BJBJh1pLRXIdCiMb6Ze1xAMDiEQM4jkS1UEJFCFEa5U+rcC0mA/YdLdDe0ZzrcAjRSMUFZUjNzkP39lYwFPC5DkdlUEJFXp+0x2T0qEz5KPtQCi99fzZ8GQoACPxqLFArer4QAtBjQHl48d/Zs2VzaDR4WlpY3M8PBjmAQQ7XQSo/SqgIIUol++4T3M3IRXcfJxgY6nEdDiEaKTb5LgpLyzGqjxvXoagMSqgIIUpn68q/oaWlhTlf/YfrUAjRWIfO30AbPT5GertwHYpKoISKEKJ0EmNuIv9RCQaN9gCPR5cpQriw7e9Y1NaKMHN0H65DUQl0peIC9TtSDfQ5caemFvs2nYYuXweTZw+k6WhI06hflcyZppTB8HopriXchYOVCVyf0MQqr0IJFSFEKR37LQblZZUY/xG9uk0IV37+KQIA8PGnwziORPlRQkUIUVrh++PQ1sgAA8fQqM2EcOHO7UfIyy2GT99OlDC8ArUPIURp7VhzHLU1tfhw0SiuQyFEY/35Ryx0dbUxzbcX16EoNUqoiOxR3yPlp+xjU4lqAVEtaioqEXcmGZbtTdGpmy3XURFVIq1fFfW1ajbtgjLxErbzPKoqqzHV2xNatZBYyHOUUBFClNrGZX8BAOZ+NY7jSAjRXNGnU2DRtg3cbSy5DkVpUUJFCFFqBY9KkH7tHlzc28OknSHX4RCikbZ9Wze/3+c0v1+jKKEihCi9zV8dAADMCx7PbSCEaKiCx6X4N+8xetrZQF+XhlCQhhIqZaHu/Y7UpX7qUg8Vk3HjPnIfFMBnkCt0tHk0vx+RHepXJZWWSNRg2Xw0BjweD/+vXz8ICgBBAddRKhdKqAghKiHk+5PQ1tHGRwtHch0KIRopKuk2issqMNanK9ehKCVKqAghKuHc8WsoKSrDyLe9uQ6FEI11OC4ZbfUFGNK9I9ehKB1KqAghdZR9KIWaWhwJuQD9NgKMfsebpqMh8kOPAaVeD8xSKrHnu0iIRCJ8OsQXZimVXEepVCihIoSojL0bTqO6qgZT5vlzHQohGqmqqgbXbzxAhw7tYGZGb92+iBIqQojKEIlEOHcsEaYWQnj068R1OIRopJ+3nAEAzJ0zlONIlAslVIQQlfLz14fBGMOsZWO5DoUQjZRxMxePH5egX1/6o+ZFlFApM3V/RV9d6qcu9VB2z6ajKSt+ihtxt9ChsxWs7c24jopoCprKBvycEvFyKOQC+HwdvN/bA2CQXDQUJVSEEJWz8ctQAMC8/9J0NIRw4eCv0aiuqsF0mjBZjBIqQojKeXD7Ee7fzIVHn47QN+BzHQ4hGuliVCqshIZwszTnOhSlQAkVIUQlbV9xBDxtHmYvHcN1KIRopK3P5vdbMpzm9wMooSJEPtSlX5USj011JSoNBY9LMPg/Hs+noqHpaAjX1LhflVaNSGJ58rAQt/Py0duhPdqW60C3BNAtaeU5WMNFVVBCRQhRWfu3RoIv0MXkjwdzHQohGmlTeCy0eTzMHeHLdSico4SKEKKyjuyORkVZFSZMo0cOhHDh1I0MlFZUYpJ3N65D4RwlVKpGXR4lNUbd60dkq6YW4aGXIDQ2gN+wrjQdDVFO6vIYUEoXANN/a3DqTDKMDPQwuq0dTP+t4TpKzlBCRQhRaTvXHENtjQjTFo/iOhRCNNK2X89DJGKY8V5/rkPhFCVUhBCVVlVRg8tRqbC2N4NTFxuuwyFE45RVVCE5PQvOjhYwMTLgOhzOUEJFCFF5m4IPAgACl0/kOBJCNNPmXVEAgLnTBnEZBqcooVIH1O9INajL56RMQyk8m47m8cN8ZNy4DzdPBxibGXIXDyHNpSZT2RjcLYHB3RJknkpHweNSDPLtzHVInKGEihCiFn4OPgAAmEuTJhPCiSN74yDQ08Xknt25DoUTlFARQtRCWsI95D0sgO/QLtDRoUsbIYoWGnIBNdW1mNlPM+f3o6sOIURt/Pr9CejoamPqZ8O5DoUQjSMSiXD5QgZsjYToaGbCdTgKRwkVUX7q0veIyN3ZQ1dQWlyOUe/40HQ0RD0oeb8qrcpqiWXbqqMAgC/8B0G7HOJFE1BCRQhRK3//HgMDQz2MeKs316EQonFy7hfg7pNC9OloDx2eZqUYmlVbQoja+/2n06iuqsF7nwzjOhRCNNLmMxeho83D3CF9uA5FoSihIoSoFZFIhAsnb8DMUgh3b0euwyFE4xy7loayyiq87aNZb/tRQqWuqN+RalCXz0mZxqaqqcXPXx8CY8CcL/5D8/sR9aNM/aqk/Ns3yhQhIjoNpm30MdTAFkaZmtGPkRIqQojaKSksQ/LlTDi62cDSVvPeNiKEa5v++AcixjD33QFch6Iwck2o8vPzERAQAKFQCGNjY0yfPh2lpaVN7lNRUYHAwECYmZnB0NAQkyZNQm5urnj9tWvXMGXKFNjZ2UFfXx9ubm748ccfGxwnKioKPXv2hEAggLOzM0JCQmRdPUKIEtv0bKDPef83ieNICNE8JWWVSL2VA1dHSwgN9bgORyHkmlAFBAQgOTkZEREROHbsGP755x/MmjWryX0WLFiAv//+G6GhoTh37hyysrIwceLz+bni4+NhYWGB33//HcnJyfjyyy+xdOlSbNy4UbxNZmYmRo8ejcGDByMxMRGfffYZZsyYgfDwcLnVlSiYujwqI7L3bDqau2lZeHD7ETz9OkNPn891VITIlxI9BhRmlECYUYKQtXW/cxeM8eUsFkXSYkw+v4lSU1PRpUsXXL58Gb161Y2aevLkSYwaNQoPHjyAjU3DWeGLiopgbm6OPXv24M033wQApKWlwc3NDbGxsejTR/obA4GBgUhNTcXZs2cBAJ9//jnCwsKQlJQk3mby5MkoLCzEyZMnpR6jsrISlZWVErHY29tjkMWH0OGpycVYS7nGL5E5dameunxOSjBeTq8Brli6+UOcOngFW1ce4zocQhSLo76MorbP70jtOvQp9PR10fen7a99PNbCS4mosgJ3vluOwsJCGBkZvfZ5W4zJyY4dO5ixsbFEWXV1NdPW1mYHDx6Uus+ZM2cYAFZQUCBRbm9vz9atW9fouQICAtikSZPEP/fv35/Nnz9fYpudO3cyoVDY6DGCg4MZAFpooYUWWmihRQ2WW7duNfo7Xx50ICc5OTmwsLCQKNPR0YGpqSlycnIa3YfP58PY2Fii3NLSstF9YmJisH//foSFhUkcx9LSssExiouLUV5eDn19/QbHWbp0KYKCgsQ/FxYWwsHBAffu3VNshquGiouLYWdnh/v370MoFHIdjsqidpQdakvZobaUDWpH2al/wmRqaqrQ87Y4oVqyZAnWrFnT5DapqamvHVBLJCUlYdy4cQgODsbw4a2bu0sgEEAgEDQoNzIyoi+3jAiFQmpLGaB2lB1qS9mhtpQNakfZ4Sl4pPYWJ1QLFy7Ehx9+2OQ2Tk5OsLKyQl5enkR5TU0N8vPzYWVlJXU/KysrVFVVobCwUOIuVW5uboN9UlJSMHToUMyaNQvLli1rcJwX3wysP4ZQKJR6d4oQQgghpDVanFCZm5vD3Nz8ldv5+vqisLAQ8fHx8PLyAgCcPXsWIpEIPj4+Uvfx8vKCrq4uzpw5g0mT6l51Tk9Px7179+Dr+/wtgeTkZAwZMgRTp07FihUrpJ77+PHjEmURERESxyCEEEIIkRW53Q9zc3PDyJEjMXPmTFy6dAnR0dGYN28eJk+eLH7D7+HDh3B1dcWlS5cA1D1emz59OoKCghAZGYn4+HhMmzYNvr6+4jf8kpKSMHjwYAwfPhxBQUHIyclBTk4OHj16JD73nDlzcPv2bSxevBhpaWnYvHkz/vzzTyxYsKDZ8QsEAgQHB0t9DEhahtpSNqgdZYfaUnaoLWWD2lF2OGtLefZ4f/LkCZsyZQozNDRkQqGQTZs2jZWUlIjXZ2ZmMgAsMjJSXFZeXs7mzp3LTExMmIGBAZswYQLLzs4Wr2/sbTwHBweJc0dGRjIPDw/G5/OZk5MT27VrlzyrSgghhBANJrdxqAghhBBCNAXN5UcIIYQQ0kqUUBFCCCGEtBIlVIQQQgghrUQJFSGEEEJIK2lMQpWfn4+AgAAIhUIYGxtj+vTpKC0tbXKfiooKBAYGwszMDIaGhpg0aZLEgKHXrl3DlClTYGdnB319fbi5ueHHH39scJyoqCj07NkTAoEAzs7OCAkJkXX1FEYe7QgAn376Kby8vCAQCODh4dHgGHfu3IGWllaD5eLFi7KsnkJx1ZYAcP36dfTv3x96enqws7PDt99+K6tqcUJebXnv3j2MHj0aBgYGsLCwwKJFi1BTUyNeHxUVJfV72dhUWcpo06ZN6NChA/T09ODj4yMexqYxoaGhcHV1hZ6eHtzd3RuM+ccYw3//+19YW1tDX18f/v7+yMjIkNjmdT4vZcdFO3bo0KHBd2/16tUyr5uiybotDx48iOHDh8PMzAxaWlpITExscIzmXA9eiduXDBVn5MiRrEePHuzixYvs/PnzzNnZmU2ZMqXJfebMmcPs7OzYmTNn2JUrV1ifPn1Y3759xet37NjBPv30UxYVFcVu3brFfvvtN6avr882bNgg3ub27dvMwMCABQUFsZSUFLZhwwamra3NTp48Kbe6ypM82pExxj755BO2ceNG9v7777MePXo0OEb9EBunT59m2dnZ4qWqqkqW1VMortqyqKiIWVpasoCAAJaUlMT27t3L9PX12datW2VZPYWSR1vW1NSwbt26MX9/f5aQkMCOHz/O2rVrx5YuXSreJjIykgFg6enpEt/L2tpaudVVlvbt28f4fD7buXMnS05OZjNnzmTGxsYsNzdX6vbR0dFMW1ubffvttywlJYUtW7aM6erqshs3boi3Wb16NTMyMmKHDx9m165dY2PHjmWOjo6svLxcvM3rfF7KjKt2dHBwYMuXL5f47pWWlsq9vvIkj7b89ddf2f/+9z+2fft2BoAlJCQ0OE5zrq2vohEJVUpKCgPALl++LC47ceIE09LSYg8fPpS6T2FhIdPV1WWhoaHistTUVAaAxcbGNnquuXPnssGDB4t/Xrx4MevatavENu+88w4bMWLE61aHM4pox+Dg4CYTKmn/EFQRl225efNmZmJiwiorK8Vln3/+OXNxcWlFjbgjr7Y8fvw44/F4LCcnR7zNzz//zIRCobjt6hOqgoICOdRM/ry9vVlgYKD459raWmZjY8NWrVoldfu3336bjR49WqLMx8eHzZ49mzHGmEgkYlZWVmzt2rXi9YWFhUwgELC9e/cyxl7v81J2XLQjY3UJ1fr162VYE+7Jui1f1Njvkdf9ff8yjXjkFxsbC2NjY/Tq1Utc5u/vDx6Ph7i4OKn7xMfHo7q6Gv7+/uIyV1dX2NvbIzY2ttFzFRUVScxwHRsbK3EMABgxYkSTx1BWimzHxowdOxYWFhbw8/PD0aNHW14JJcFlW8bGxmLAgAHg8/nishEjRiA9PR0FBQWvURtuyastY2Nj4e7uDktLS/E2I0aMQHFxMZKTkyWO5+HhAWtrawwbNgzR0dGyrJ7cVFVVIT4+XqINeDwe/P39G/0+vep6lpmZiZycHIltjIyM4OPjI9GuLf28lBlX7Vhv9erVMDMzg6enJ9auXSvxSFrVyKMtm0NW19YWz+WninJycmBhYSFRpqOjA1NT00b7OuTk5IDP50tM0gwAlpaWje4TExOD/fv3IywsTOI4L16Q649RXFyM8vJylZqsWVHtKI2hoSG+//579OvXDzweDwcOHMD48eNx+PBhjB07tsV14RqXbZmTkwNHR8cGx6hfZ2Ji0uxjKQN5tWVj/3br1wGAtbU1tmzZgl69eqGyshK//PILBg0ahLi4OPTs2VMW1ZObx48fo7a2Vmod09LSpO7TWJu82Gb1ZU1t09LPS5lx1Y5AXX/Jnj17wtTUFDExMVi6dCmys7Oxbt26VteLC/Joy+aQ1bVVpROqJUuWYM2aNU1uk5qaqpBYkpKSMG7cOAQHB2P48OEKOaesKFM7NqZdu3YICgoS/9y7d29kZWVh7dq1SpVQqUJbqgpVaEsXFxe4uLiIf+7bty9u3bqF9evX47fffuMwMqIJXrwmdu/eHXw+H7Nnz8aqVatoTkAOqHRCtXDhQnz44YdNbuPk5AQrKyvk5eVJlNfU1CA/Px9WVlZS97OyskJVVRUKCwslstbc3NwG+6SkpGDo0KGYNWsWli1b1uA4L78pkJubC6FQqDR3p5SlHVvKx8cHERERrTqGrKlCWzb2naxfpyy4bksrK6sGbxc1p528vb1x4cKFJuNWBu3atYO2trbU70JT7dbU9vX/zc3NhbW1tcQ29W+cvs7npcy4akdpfHx8UFNTgzt37kgk+qpCHm3ZHDL7PdXs3lYqrL4T5JUrV8Rl4eHhzeq0+tdff4nL0tLSGnRSS0pKYhYWFmzRokVSj7N48WLWrVs3ibIpU6aodKd0ebRjvcY6UkszY8YM5unp2bJKKAku27K+U/qLb0guXbpU5Tuly7ot6zulv/h20datW5lQKGQVFRWNxuPv788mTJjQ2mophLe3N5s3b57459raWmZra9tkB+AxY8ZIlPn6+jboTP3dd9+J1xcVFUntlN6Sz0vZcdGO0vz++++Mx+Ox/Pz81lSHU7Juyxe9qlN6c6+tjdGIhIqxutd0PT09WVxcHLtw4QLr1KmTxGu6Dx48YC4uLiwuLk5cNmfOHGZvb8/Onj3Lrly5wnx9fZmvr694/Y0bN5i5uTl77733JF5bzcvLE29TP2zCokWLWGpqKtu0aZPKD5sg63ZkjLGMjAyWkJDAZs+ezTp37swSEhJYQkKC+G2qkJAQtmfPHpaamspSU1PZihUrGI/HYzt37lRMxeWAq7YsLCxklpaW7P3332dJSUls3759zMDAQOWHTZB1W9YPmzB8+HCWmJjITp48yczNzSWGTVi/fj07fPgwy8jIYDdu3GDz589nPB6PnT59WjEVb6V9+/YxgUDAQkJCWEpKCps1axYzNjYWv9n4/vvvsyVLloi3j46OZjo6Ouy7775jqampLDg4WOrr/sbGxuzIkSPs+vXrbNy4cVKHTWjq81I1XLRjTEwMW79+PUtMTGS3bt1iv//+OzM3N2cffPCBYisvY/JoyydPnrCEhAQWFhbGALB9+/axhIQElp2dLd6mOdfWV9GYhOrJkydsypQpzNDQkAmFQjZt2jRWUlIiXl+fuUZGRorLysvL2dy5c5mJiQkzMDBgEyZMkPgAgoODGYAGi4ODg8S5IyMjmYeHB+Pz+czJyYnt2rVLzrWVH3m0I2OMDRw4UGpbZmZmMsbqEio3NzdmYGDAhEIh8/b2lnjFVRVx1ZaMMXbt2jXm5+fHBAIBs7W1ZatXr5Z3deVKXm15584d9sYbbzB9fX3Wrl07tnDhQlZdXS1ev2bNGtaxY0emp6fHTE1N2aBBg9jZs2flXl9Z2rBhA7O3t2d8Pp95e3uzixcvitcNHDiQTZ06VWL7P//8k3Xu3Jnx+XzWtWtXFhYWJrFeJBKxr776illaWjKBQMCGDh3K0tPTJbZ51eelihTdjvHx8czHx4cZGRkxPT095ubmxlauXNnk3VNVIeu23LVrl9RrYnBwsHib5lwPXkWLMcaa/4CQEEIIIYS8TCPGoSKEEEIIkSdKqAghhBBCWokSKkIIIYSQVqKEihBCCCGklSihIoQQQghpJUqoCCGEEEJaiRIqQgghhJBWooSKEEIIIaSVKKEihBBCCGklSqgIIYQQQlqJEipCCCGEkFb6/+7RJAS04aoKAAAAAElFTkSuQmCC",
+ "text/plain": [
+ "<Figure size 640x480 with 1 Axes>"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "from qdarts.simulator import compensate_simulator_sensors\n",
+ "\n",
+ "compensated_tsim, _,m_comp = compensate_simulator_sensors(\n",
+ " tunneling_sim, #the simulator object to compensate\n",
+ " target_state=[1,1,1,5,5,5], #the electron configuration around which to compensate\n",
+ " compensation_gates= [6,7,8], #the ids of the sensor gate plungers.\n",
+ " sensor_ids = [3,4,5],#the ids of the sensor dots.\n",
+ " sensor_detunings = np.array([-0.0005,-0.0005,-0.0005]) #shift of the sensor dot plungers\n",
+ ")\n",
+ "sensor_values = compensated_tsim.sensor_scan_2D(P, m_comp, minV, maxV, resolution, target_state)\n",
+ "sliced_tsim, CSD_data, states = get_CSD_data(compensated_tsim.poly_sim, P,m_comp, minV, maxV, resolution, target_state)\n",
+ "polytopes = get_polytopes(states, sliced_tsim, minV, maxV)\n",
+ "\n",
+ "plt.pcolormesh(xs,ys,sensor_values[:,:,2].T)\n",
+ "plt.xlim(minV[0],maxV[0])\n",
+ "plt.ylim(minV[1],maxV[1])\n",
+ "plot_polytopes(plt.gca(),polytopes, skip_dots=[3,4,5], fontsize=16)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 31,
+ "id": "73412425-e5f7-4690-80e3-51bcace00e2b",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "array([2, 2, 2, 8, 8, 8])"
+ ]
+ },
+ "execution_count": 31,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "compensated_tsim.poly_sim.find_state_of_voltage(m_comp,target_state)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "572e629e-7160-4dbe-ab0b-c136c4e80898",
+ "metadata": {},
+ "outputs": [],
+ "source": []
+ }
+ ],
+ "metadata": {
+ "kernelspec": {
+ "display_name": "Python [conda env:devel]",
+ "language": "python",
+ "name": "conda-env-devel-py"
+ },
+ "language_info": {
+ "codemirror_mode": {
+ "name": "ipython",
+ "version": 3
+ },
+ "file_extension": ".py",
+ "mimetype": "text/x-python",
+ "name": "python",
+ "nbconvert_exporter": "python",
+ "pygments_lexer": "ipython3",
+ "version": "3.11.7"
+ }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/examples/figures/device.png b/QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/examples/figures/device.png
new file mode 100644
index 0000000000000000000000000000000000000000..d454e71948d333e9aa34cc553cd6796132087f19
GIT binary patch
literal 205546
zcmeEvXH=6}7p@{Gf(jNyrO8-Oq==xPR4aoDsECM^h)6F1flxvcqm)4etRNx;ML=rk
zJp`#r6)B-66agWS&;to1_e7m<#^`*X_t#zPu358Yh?wL(=j^?o{p@G&_nn{%dfMyx
zcJQrOv0}Z>@24)USh1G6Vg*k-?`rTHL6=G<__5OMlJ<!e>5ZbJ;17OQS9Pp)byrA(
z*SsruR&H9civ1Sw&x(~hR`7gzy<)}Ll_LLneQD*sZ|~t+u_DlJ1^2i2TmwJZFVC|7
z^PiuqVpsn4jj>#RzI!b-cGaJ+dD_{ZOT;L^!H=~rzZ<))SaGO~{qM?sH?MWCSfRB-
z=hX4bUMt6YJzrdId#mgco;6E+y7M=_dqbJ4g}N>Gz(OhoF>m&rc~$+U&tc^anb@E`
z_x5d@)A`Nzx4qjg9#=RMa`Du~3mcDz1l)FyAlAY6V#%sK_0f^CiruA*#d;gce%cE+
zykeaMW6@PF?HZC-aHrPo6)U;8|KGjPDqOoo#yIP>&bG9Zg(0>(e|;@GpO!s`O?1hg
zRcc)>I=r!O=H#z$<<s$4nE3EPo?qYkgWWqzBK-Ov{qkvjI;rI)FHt-E>nE(kRSwtL
zCb#xijiRN&?MIt_>A2yS&+Ok#{F=f4wZt!Z?Z58yuRHxC_WX-Zzm`@1%@e<rwt+j1
z4O?z<`(McseV!{!7g5p@oXz}rz(8|?TRKXsW>~d>Rpkkdyw=%nrOr0Xg+d-bnlx?1
z(&N7y>CHv1(+)<k<ck917GLu+ddGpjj-DNiX1L2gx;_U-c(ZS1KknWmW%*x23vS-l
ztKb9wUgCdK)Bj%%3SD$~{=K>i@DJ(8GD`yq>g+%&em41LU6v@<cAjHLNOny5Qg~hK
zeKC*!otR5E3KAIs<!o*%Z60eoQL86}=R5GfKgTQhF88*jo13ho@2`6HPC;<3;M@B)
z{mQqq--9;g=cNu^>sa{jVfVMM+xgqh65*8>cmHo^_=XIHTLp=AxfxTxPNPo&qR#c|
z_g{h`c4*&{1*L$4#o*?@E%U#A82!iXNptQ~4>@q*pFjTT8dwscyjtp)cfAoH2Jaug
z{VKw+O+9Iz?jNH6Ul;!Oulo&DCmRJ%|FUa5Z~#j(<rl&H@~%&Ta^|<4_kP_q2w+Kt
zTaRe`eVPBYlKq31mwH-j%dfjeI!F_@{tbx#VZwg{;#cDI-+=g)IQ=(6{8t3~GiUsp
zA$}!s?ff@G{7N?cmoohsR{yQK{FgHQ4;t_VxU~MIOuqu)|5B!ZDbqjEp?{0&e>$1J
z`^>*Z^{?Oz@4rR$FA>FmRi<AdivRa2lUA>({`H^fiHn<_9d@{KH@oqe!zu4ZLaqY=
zulrnSRDbAbLZ&pfEIz{A=L3XACrCUY@bUBW6Vw*^?t0Erdf~d>A$Foas8HxJ$(<!e
z>KfYm$A7T5AorEDYlew$-hBQ%U3qm2ver$_a>)GpKxL5Znhl~0SDz*6-N-xUF_!Ap
zhhDQf#&`PtfkO?<p$G_UAC>w6iehxzob;lmop*EiQIC6L%oW;@W{k;C-1B#E`U+qd
zCU^n_B#@K@-6+@w?1mr$eU1z-VKEu9Da&`^T0d?=de8L{ob;Tlu?z<SUbuuFZAnyK
zS8VRVS{MxTgycJ$&8!zWqSRaB?bhPdo!7>1>6BuUPob|~za!Q5<LmeLz(vz-+mhSv
zMZ>yAQ!K;OVf`1i#d3>Y&x}Hrxy#d?qNK-?D1{?2jS%0d)3qNu^YP0Q@{Bohe$K1*
zE89n+k2qb6dwX{cik97^QGBqdv=`RxWSFBD`6CO|I?cyRHGExK$RVtuZwd1jJGK=u
z>13MsT$_>p)e<jPYKVw3Y{TOx3$y6vIBkNojLcG&>tMB8SB{;c4F)mqZS(Gdq@t?F
zSWbM8uv1wH-|SeMgYDYAJ;;e%Lg}?T%%OIV@s7+1O2J@grlf6`Qd_K|b^U@NFLn8d
zp@~%r`D1)t$7FGVfgB+h!I&?<-nOs);sg7bRU1@xrW|y}XdsCEGy$E%XH0vGsimq1
zGg~00#XdjSVkK7+kRvZ8z1hWK*W?#kHv(}f*it&&q9(0W@>ENvn)uH9*#-lKmoK~5
zOJRI3Ih6aYB}XYknT<%sgtF_>!jwU+<p#@7kiJNp81Eyj>~P=eC}^p-t*Hz4Q=H+r
zm`R?aU8x7T{fR2?u%#6b506N(2RXcL!@X5&Hkdx}dV15Wm{LT>hmFd<SEv6(Y!@WX
zh;f!M$vI^&j=GHrY&+PuM$(j~DJk0eTZF)7*t~tgjjDUQ%H>SfSEvE~v@*Tl60-wY
z?wRJf-ezBZjexd<O)lBIQ1_>^IL1IhwL-t<=k(8`JQN&_2<=7Cdhw=sB!cFfesH{0
zSs61EnPR<Gjkz%BL;{EL_AoigjgbSkYWB2y`+dD1VpS{l6A*RxD7&rUyuw;;`uqfZ
z+yRS&8K_*z(McHc>uY>u2J0M(OgAe=cEo9i@$?pZ%0E}IJX746ZR2U2W80k0zg0%X
zx*}kG@1YQb9%B5t2!VT8+~$2yG={Y_qI@M{@K#-SLe5~PH#X-Mh11laBN7i}aygF>
zU5<r5DJ~nR3MR9$LNi(!N)$M>p7`csT-XN9rO7}F@GF8zzBBG{A&QqJD=^d<RJ1rV
zqUqjlY_q%&EMKakxy3<h?Bnw6Xp4<?5zLAE>;aeINE;*@qTYNYQcGL8=EmBxXUy$)
z<o*cDLi-*}g*6Km95MKz0Ra>Anr+tZrj50c`(^IHO<*Jht+^#ppVeRBI%poUng-jZ
zv;`ntjunVDn*R#Yo|gqD-^q6=j}PQKmfc>-A2(OaT`N8L>9KxZ40vCzl~~O(YrkMQ
zJcX5gWj%*UKwzNn2?-KYuA;IzmtxF!K1Qu@F~g!l+`JezfgE+#5q$`ssuE^RQc*0%
zv-2-;pH+a#Vu*Q8-S3;}pKi4z=!!)~ts5xn;SSg!<}=uyW)c<AeS0<iOl(HR1uv?|
zdf^|>;_2zK%)+Nbk25%DpmtulzBoPPA%|a@hB$WRBpEm+et5u3Sud{URc2^pc39pF
z@9reIK>P5=#$9@Rh_TmWgqJ7RXb&gcxoET(ok1Sd=`ZN9tX2A5sHE`t-PM?NJCr_;
znaU%=)aOBa>2TIh+Dm6;KnA*TNSRYZSlp@tuxd5-TJG2b_nB~Q7kLHbZws`^3ITkE
z`{+mN>*r7adzmxl(%U@Zw=T?JSUqD6%A_UDc=1?1(zbGVFmn1arXE`!c76266W~58
z3;NNQS_(P4OYZ`;0M<2L%eelQ_OZbb7{SBH)U_(!s?$~8d#N#66(41)S42GI(pMJt
zs8(+66XU)ja(c0bXhip``c>OG9RACu(9(Or7UMPKf;p1i;d48=r{}@t=pK<V^baQm
zaC3ArmZfHZckBj8HXn8wA#&JWDc`0kM&wd%(yj|T&~A-KM;2UUW?h@%{Cs>zfEUa!
z+TsrV=wd6m+O)O2uyo(>7{BjR&*cN?Ov{=)_*haRWu1VbeD7V57^d_$?>+zQNxHsH
zx1Pr0rzicma9NXMhw@)Pqu21Af1#2&M8@J{4!tO1P>MBsfPY$LDm!puC!1Nv)`C{0
z;bPc_Ro@#FJ+}YgjmkeTesQNv;^9Rg-}=tiXfmfl-4SP7U>|j)(ozi)8;zRb#qOhr
z6t5+okImsCn8PPLl1c|5C@d=5sxCYrUaTAO6I=3LMxu+JqJpk)HX~b=&=wT|6Pav(
zx#>dz2i>zVw4nD%62z`cKy^Gr6)>FKlU^Ap7SrIIVmO@l6b~CM9aZFLezu5xP|cZo
zMW`LAbU9pbJO%U0Oz5ZQ3>u->=e`fb?{b{86k00AYap@ToA0B#0l7U5vIAt??os-a
zc-isKv>V10PkFQo`u$@mWmY$d2}2~$S1Np<5#dz4r&mv&Q`Drn^zNSxS|kU7esjwE
zHKPjOmoi!&8@C<2UY2i^Zt87YG_rr+z78)yA4t*ZVMn;08umSRNH07xo=iAaR9fUg
zmIJQUioHj!$Sm})A`m$^$d`@2L4u^xMpc|U_5Gp8*7C8zq5a8zgY^2@6~*IObp?Xc
zCeM;EFs`S%u@F2`yGCp+Vxd2f^~#e<bht+-K`>ydR3S^RAF1HZ3+q9*Fu6Z)>><Z?
z422emv{HgiZ;=N)!35Re0d0vrepg(dpe=%~-6wb_slnWP=&6W7TH5L0ttb&q<kFK*
zc`lC5xKCLQKOrXE$q^tc&C%7=IS~0x7FV#ad^%&k8wv>@U3tv?^Q0-M6cJ%FmKd#N
zwV792U0{QDe_l}f0q#o#0RV-kay0yCV`s=uetKvc>_Z#Lp54uHXlMCN;S;&I^2|b2
z8?QemEIdmyx6^I+UKr(WRHc^eI;l1H<T8IZNYvuzJ=VFa95M2e7kYN=CmU(|Cx`Pu
zdlJ19^%HD(wS!BM73-Ckc6}M;d0Ym9m-q=#b3JcU=eRQ=)|$(+ErXZR2$_XRms>af
z7{_n^X%n@4_0JEdyv?$z3w=Mkf-#X#syvU#+5E<l3vjOU00iZ#it>;w1___*Ju}>W
zDW@$9Ahgg=-8hVGjzt;uwcke-FvrQj4eH0ZpYBM2-|or<Co<P=0y+1^?0a39izBoR
zHA6As_GZzlp3G&Ci8Ri(&3i=Sd*k0WpZXDiW0Uz8R$Vt_ai?+g)Gx0>XUv#a?{e$T
zb7BxEy~WVf)nVj~_J3#%6!h#jNLZ&cSK#mO&tG$YyP~wAiK`iJ4!zq<A;9xzHn|Y%
zeAsty80YmbOMVG(d1>imN-d8B)F#W`N78MjE<|$6fv`!ba4noLNE`he7gnn7n@C8s
zKbL&q_oDQT5rBO_7r?J6xwg%(+EcEi+2gDmo?ihd;(!B?c4g&t6JW=1C8sWTo#3sq
z;qK!du2Tv%qBD!2G$~F!)93a3535AmOMyHzp>auoW0lF_Wq^gkO|QD*+*8s44A%nQ
z>|kG{(ZzdtFPdMzWb%VQzi>>Xy>6OGKGF`95uKtd&32W;X+3WGBSD*`=3@Yv+n8d6
z)i^k=vW-DK&P%6g9kVF+b2=HYE;0|`xVlK_PUg9$7<J|G5698p10_3AXzc;>Cn=Q@
zq4D2)Bl`KygPxS0``W`t9NNcw1--hiZB|pWY!iOQuCrWBDIYHDUjj+G4Y<tm>Et|H
zGhLM<o>ljRwEaHxZfv%ZKVAsyc!?#nCK<rR;NzLfeuKFXQ4QY(L}HB3Sm=KIrgd))
zeD8nkXh8d}ZEYl+8kXd!VnBizu8%a(9M8#x<Y-)@e0W)L-!}RXx>gzh@9mT$PF<}E
zZS?tGPZEP&5-J%+6=kh;?9NMT2E4ba;M1dX)lx7GnQmLkUe0e8-1z_wMn8H)qBxJ|
zkBtSO_@(jbZr5L}0_u5E$o3P5(P#Gv-hq?Ykq~Wv5fq0pi?c2IVft+e=}X*s&b?i9
z;0PifAC9jvQ%5nE?z2jtkm}F;_TyDA90FH;<URTWSC1=WQ1N*Egnm9gzIFh63xnsE
zL8RM$DXCv5*?r8&2)(n#p|b~%Vwr$slB0gwBp2J|)}&tJzw0i+dMY*wC=kN!SO{w-
zV7*A=S}Kc=wc7FBK&frS9RLo?`YLB>=^6Yta&&)I9LEbzYU&@Ts=2<A14pg-z>N>P
zExoXIEeR5NP!jT7!<Ok*L!G_>P$L}Tu7aJ-9hNgIQaj@Q`GdYeZkt~bh~*{bdnwF|
zTXnMerrSgF)c2^l{nl3?>$iO*$F5~KT3p?yWI3AZJ2I%)sA6fHe0%T<V0z*iz2?x;
zMQaSGfW$>Y-#I-GF}ZlL`C*NirzwlgPMRI*<e%I>u@eJwz+&qWVGhsAxLa2H^Z>2*
z<!`570`(!ZUbp{M@~yR|KBMt#WUpq#LX!>mz`}r=)`*{NyYhGpkdb1wl7L>9iuL;3
zDee7#^l!((Y37eZj=zF<>GC5I5uh}vXaebDW~4D1Znux{-knt=fm#}@lPh){2BlSk
z%~(qGPr^+D<lN~bCpiv~=o9(E4ZE|f&J{zYZ^-$~k00HYpaZ;3@}NU|>gpy9#&}ct
zjZ0z?CgjS^`l3XzoRCG+aZtY!>_GWmv!%(qa-(*M$4rBAldPQ4C&pxdg-wJNGb6Zv
zIAb%Zg3YC80qqORx0#~;9(~;v-qA)K9}Lq(8X6D7elqHbp5F4tEavX^V9rfENGnrp
zQhPl0uIFHTJ9^cc#(LQKW!}qvWvrzp*3xc}iuSklSd6?I5l1fcCna^=G8PVfrmpPA
zhm}KuaB+5#8%g;iQ#(|2k=O_Hnk`$lq&6v`co%ZFE8M8Gi=^BAgsMEy2eIO7AH}(t
zg)=)v5s?Zd1a>jY2KoDMUqDxT9N*c*6#+pmuACWZ(o}BC@fd40c4g<xr^&Jr9&W?+
zNdWKE_j`wCgxfE|-P;U}8dUpkucDkswil4~L5{v(aAfX#@BfnCq)&kIP3Wbw9*6Z}
z+ktnf+T5`1%o<8PkB~Ni^R5vJcUK3xL2r!8>YUd!!*J$iDLu#Sp;|;1&|>V1K~f19
zIpS!$9rn^;M~nmF?&|gTb|^cWw!YSRECkSAZVW)&y%s&y2~424&*!e%EM`{fE>}|u
zTL|bFyd`k#b1Ym>eXjLYR{h22aQTA1JHc%9IkrgjnHx*flQT*r>pb4OYzHbp6>EUY
zxE6Jz1!oEj5K}6g*6WGKq+^b7?1R0@#Z91KjL7l+o)fM>i*cVQOKIC6w4YCMAy?+K
zM||pzBaR*7peAOX+%KH3F1lQ}zvM{3hwd)HoNMARu@`u-c$@^+b;UL7cPL5uk@CWC
zjo-q{PNhDU(q}dTScazo!Wwq)`0>2QYSZs_nQT^-&a-Q=_MuUFNjQMmMD?*ZamhC`
z#+PQA@Q#DkA^T6hX?T7ZuF5TfdEXwdM%RrxlGc1$*vuWVV5%1sYIOB#!QN{|(Y1jR
z$c4>K>NL}?N%H}3)^r4ZH;lBIn4%|9YV$*4xoiPkOM0o__}KTD@urrGEptWMErZJ}
zOB-NnKQf1-pcF_z?iNQ<DGoUxbRwjoJY^6NC7OAW`>2khO=IdDpbqH*7Wqcy=^mEa
z_qR=5+&;X&B`s*z4WL?9@heWagj+m12G|7oD3n-INe(nfIN#a+>U6L&8%MkY7}AC_
zPmRnAAy-lOg46z%_5{Dap~J2dovneShr^@vWio_y%$~JOqi&-gUME?*!D6IBJ>RLj
zU8zl7Qt(<@1spKZ5fjM^MZb-!bo|yfBTSHmlrHrRI8cA)&tPs7`$}`=%=dB#dWUod
z$P@Sbae&l6T}wUe*x{nv;pB9U_re_S%4F-I#ms;UkP5+1<jt@&@=T!SQh%>G&PRQo
ztr6^iWptaz%v6TV0pT|vH<}O?5b%Mx(G^j90ivn~nK;w~k<8Zs^_@{*kR`zkXprZ<
zhTNU{i}O$ePaAgk^A6gJ5zmdE?*u9tUdFUwa@<|KpA-#~6g4?8e(G6z)X$vO8_f0A
z@n`FBI_*s~5V8m%-I6ke5I{Cl&U?xG6~^#8pqv|D9Gz=Y8N44=u>m5rTl3s=veQf1
zBivhY@_xA+yhh_AHgtHB5Q+X5dJO|bZ@nwB#Z1d!yoVzZ<>_|_R=m5N*A|c9gfy@M
zCvLmys4zX@UQ9i}7RRRBj38ng%f0O$Uy^h`9H&Nj5tdo*?782wpsuDTJ~FN-khW=W
z|F+?z$Z~iPbpUX@57Vs%`VCH5SxOR*;2awOE@}S)u=NneJN1Jc{^^AViBNVh9Uf!|
z8~qqx%j0<Bw(TGd&sq+o;#tg&N%Jsqbqaj)?HbJI&g_wZO1DOK1z`fkwW*cl!$+b$
z=OI9HL|YK@Doz-TlblZ+q&z4^Ff^3xTi?{_12IA<$hDR+!Zs=p*fh3pQ+A%{$|VGh
zAU=0FU=e$r*L(JQ5acXEl>I;SqpCtSizb_T$y1D_9S|T`Q|21sYiXfks&Wn0ntm5m
zfeyPXUf}yZu=!^?PZkr>TWJ0Vr$mK*zH4%-M#4sjs0z4ON_`{zJ;t1OWBmHF{ug>o
zs@~!%5kX|;GDCjD@q7Vu#9SN6zn77|PIKgl-N#S3Pp)wUc9?ksQ)(Q8jd#GB^RmMA
zRr>u(NAJM<e;>pXLGHBK+b$y9b1t<Xl<12i05>``MW<9%t#wUMvvCp#!Ip%g7u@Bc
zf27pey*aB|?_4~QrxsPkPW}_wqlrK6hCMJ|$)rx0>i;m59y`pJYFe0Ok&q~$jdcb^
zk7t*lX@Y`uGJ?`mm^LuHp()qmL+o+4fv#XOv}CHfX|;fO4=WWkoDlTcQB6>bI|L8p
zeWHOBO4>3d8zU^D_=kjOM)0kH_hWK2^1>zE2)F=0WN4?h%2OxZ32+`1cX#1y?V%
zwdiZA?>)wrl{Jq}maQUalMlcPjj-kd0lnOAKJLy7>*NG5aK{gaMg1AZyhx3QA#FiY
zG0&z{BN|km7B&G=R6O2p0&OU$oFfx#mS|FgJCA)YGJP@YzBK?zZ)quUa~S!;A@p!V
zl+8Mawj_hZTCqrz)PwN(apx*RGc6;Em<ohbXh?gav{bn(o8@3Ia7v+31;t&TEp?ns
zMoQjqT`rkvRHXnS>AT+$t~1uC$yy=;RhEPjr|kdT1Jcp!cwPnO?w*|I?jfK)`yodd
z;_C|QkacPLgakTM@+0lxPzg=s*=e^=14Rajdcq0()CnLSZkE!0K3ij2Zzfc;<fB~Y
zWHDi<FJcF9;)?35;ptTlKb8t_u5sD19vJ3|SJ`t&5a{IJCexsZ1A`l5BugR``izV*
zo^S8)s1LMny#rSq>>3!`T=P-f`_n_u%3P_jM7?MqJKpN}bv^OL@`bXZZN;Qd?;oSK
zkB#ji2txvM@mHVsnNKZC<}A8Sc}&51W1n`!EtpfeAMt1a0im+}@pcxm6Hvga_q4(v
zSGn`TMXv3vXNDK~6*-CB1q9E0k6ROf_Kd-+cax<vKyM|+)dA@4y`(UQb4KiL9sVOw
z8H@(#jvW~m`56r2TGxrlF`I_xZ9B*J(&{F<^Ap{%5Il24AFz+6Lm`jT)%{o+!Fhq#
zZ#?bsmZyu>3dswWR_JCKSLsMa?=Fd0|3u@*+;dbI<d()DUCz4b6wijEpB@~3DK{|{
z4lLoY1&39uBbd51Xjs;SB6fS%gFay+Z?UJ@BU7V~<Vp&}Voga$G_6sc)^o|9wu!t=
z$@YVMz`E_z6M`8I&+N^pr3{L|$z}eeu0w79mflTlhTUC&Oaxs<Cy2zk9fUoW%gx#n
z>S>^tAy6eoZcEAUe-$iu?Xu~-UaSlk$mx#Jqs)xBk=iU|m}0}rpK<y;E*P=y%2`bg
zHWk~$4O+nt{)C9p)$96kdxLuWKF;lT>IOToUmn#*?bvd{W$qEgA|GFw8D&M^e)QI-
zm>>m%^_yVWC{G{~Z;iLFOK@hlIoLUUtt*0ng^<#ev`6%SENsOqW-h4g42}rH))Qw7
z<{im_>qX|@!>Kq=_>==^nBZ&Y&6jy^Zt?<9Ut}}3nc2H>YlGkGA9t`5%HDuTZV*TI
zLEmHtE{d)C>%I4QNWKI5o)gD>7bZI&(hmt&P&}nTj)t|!V8G)HzCH_p^jWL_DnTI5
zV~=dpGX+b00sLBy?Zq)O+P#|b=D3<}z{jaZrg}($mv75~M*9k(<C)FqY(m0ZdCwiu
z6F)HO<IoZBa`RH>9&{=<P~2Y(vT4!pIc|h>Gg9<Hi}KgD2;;hb+Ks03mVTtS#%xK4
z(}O@gFVC(PbfN+|N|%n~v7o~$5in_v5tH8KFQB>Pl7GQ4y&refZMaoHwRCy+p*DOl
zTin`dh|n3^DsL_-LgX(VZjgC@HHjWD=#+?`{dg|vInzuyX2N98TB<roOseu%Gx}Z>
ztUMVzHN?(Fp$<kE19VQJwO@vH*Zjv+8DCTj6PE#0bdyc0Hr6vUiz66nzDs{O^$bJK
zIO`Ms<Ok=o01xs`b=O`p&vWd28%fdZ_uI^Tk`xBx@Tjl+{C7r8fv;@28b?rRHEixc
zv6eM?`%7{Jn4LBlv8~6{qVf#ZiZFn*?gZ4C#LM~7UIRf^8>j#k$24KH2V%$%PHxyg
z(+JlV^JpDoOMW_{2TawRrx_*QGo?bcP$@!uaVZc%<bzd*m0d}$HDa_=MU31by`8?*
zb}X217x~G^IFNuQG_32NkrG8_7$g>x2WVQ*$P;h+y~eJvOHO@X&@GHPr);Ftm5yi9
zaiDI<fEU3*{h%@ufnSP`rhSyO`$;o1MXQiS?I}qo-sIfsQ=x*Pa1)Jns$R0c(^k|)
z$ZJl6B-h{^g>_$r=!JFJB}R+FxKs}q5<pkbR|uBNIAmy&=OMX}(*oKnU9ZO^xI7)O
zKy1^$l>0O%-MP0YWq`8QI(o3{)f}EVhgA*e70|!eE*!DhBJtra?NTGt`4|YgQsLdG
z^*YG{pV6*!U3s^LY6BuEi_>-T-Bx3dbs1|Ud|jN6EN4y3fO-WJodgAS%tTSdS{+r6
zd<aO7Ia>v&bvndh-`K0M7vs)!dv-hJO9j^@5i1&Rgj8%WOH8ysU}wh54}+7_@}2J&
zV~w+|NAp+SFIGrGPJeoz2{bxDc`7Our99;4ta!Pc|0wnb3{023o57ke&EHyuPLYG_
zKnICB2s#ck2Lxe(sY2!6AuSEp9yJ~7RjG24y_R#;$XAReUjEW)u<Pt4Ja|$Cj;(K0
z(y;ZKpg8SP^}E%=RK0lNLIx7#g{BDaLmZ8!uN**|%>gQvws7njZ~)1Z0cv6=4rd<E
zskF5SOh<!>1p9V$&gBCI^sy8g0?e`?#bAemdyP|pLSv<Ihz3-pKh{(Ir|R5WZKvJ*
zdzUYXM@D@%z$2I2-XmJf0_ViH6U1S^$rO#m!1vbVrZlCMf#Ug^|MriR)O_SJ{Z=Or
zc0uPFXl$1*9HSsW={U5Bc<w&y<2m_|-~H?dhiem%fLg7`fUbDd2~v(WZ{V&J?JqMs
zM=ZyFrY=F)>e8bloV;&Rf{U&FBm*?mn3q_uBV<9#3}0r@@NjmO@i;lVbew=CH3O4~
zh*jG?q$B{@>xuUW4xE7WkrLt1abL~er9F21O&?{_Q7U73`_g3#k?pC*>&q3A)<_Zd
zK=OfBmJ6KJ>1?`Nv?iLgG^|W&RAMV)Z!M%sa$e@1x7?kd4<%_>ddZJJGji_7RW?5F
ze>3_J6a!QP@x#$2d6x+miFL!IWs0Xn7w957CjpuXVq<opa?${#x-as^ckmyZ1x6<f
z!}ZILefR6zTI+?p<~wa_l$?81oLrni<A2TEXv@gkjLoJaj*(#OBi-!8bxKS|F+qJ4
z*2C~AnGiO0Io@^n=5ytZ0sN{jC&XKz41Zzst8)D~AhqNiRMWrv%-i075S7hGWzX#3
z%2oVb2mShpIY5Ld6uJsVhmLn#qzs(T_M0@x28vP5>Vt~C5>5igyYANv2gLc*$(BSs
z(-alxkrah9qJTD)tv^s0=Wy=;2E|;&ty#Bivb%Ds*cGv9uAgSn1$t)`J<!tNa8Qs%
z(D#7!k+RQwhI3+twUt-f!<n73eNM6~poCp(Ydk0@ASh|(f+>;p>yH;##HmjC@48M7
z*`{!Vz+zHal>8cT`2CW>P}LYd)yHDd&h-O%F0JF5bw00$-#y&5S@PAB;@HEsANpqE
zLXSz42OWb6Psf(AsAUK8<+&=4hA3soMc-(Oy5IV+-w8;N3QMBX%}glVdO)3Wt8l($
zmK`Z6iiMjPhsDUo*idn_#)26l$kvvg2pRFj*Hp=}{22hnw0;X(-4uIHY3&zWOW>Q{
zGj{S1TB_h7-`#4ocY?cn_Vk+e)95omb7pl_;uS{eKY?O4qx3jnf8&Rv;l9U{UNT*a
zk~J^!(o&J0CCZxQRZ_-<VE0nkIWBt>b_9bey~4YcwgKy5u_kM8&@PqWnggS7&^yuC
zH>%#u1X_*7_`^cU3r2Fqls&`iivO6q-xzJWK^tQY*rZ>)y{uVLj^{MuJt63zrHZqc
z-K}VH58rN>^U`7yipT(pzq(CZvSHv&RTGsHg>66xWGcVlW3+C!d7&^BAmY5Boku&v
z02Ij<{^nfC4bL*rEio_jyAbClRU0%2WzFZ~dpDZr0?L?Gn33Uf{26xNQq+gteydIV
zZFEIUb$7U#01i?UFqkF5TMTtRpX{mglVG{D76eOjSj7#FU}+HA26`Ujz^^9)CCii!
z`FRyt?b^r%*WHYDq$iMDz(BwuFh;Ts{{GRP%zhjcK{iorX@ES+15&a?=8T_fo&;jH
zc}6jWR?aV<vkv_R=DK_>*WPfzjJByiJEO%Sh}C`>u!jjC654i|2@kd#n~kwcqx`ii
z+k-|!PwLT9gC^}eyr=I#mdA{Q{mQyNO&XhG(ov=+1HTV{*ecR<u1EMzblo5&tX;zW
z!*Q%1DcC&df_aXt!O@Ma>s84fIwgnZbe#o?O_^~}QmJM!D8=fQRHN0>f7a_Q6x=r@
zaoH`C*OD`cxHoYDrLOsvOUbx^T;Zoj)W#U~V$@n#m$bt58-&umy3gzRj^~DzE0myQ
zr&j1F?}lZW;C$vvbqrNa19o}WIgQ|k>LO|aXeV4oTMYEo4-YoNq4;IkI3*y+KhQET
zabj|X@fN+KLr((R0TAnNHS_%Z=;{pMF^!!svjT+fnDl;JO?!3OBCzOEpfRW*XI3{)
zy&3`y5^FJ{h`P_LYCn^@H?&wx6X{DuF=sG=*sGZX4<=LB#|?((ik50)#sRi9vHeAi
z0NN4_R$@)d9K3|hH>bg1XM}*&4-bAY=65HzJGIow<CnZT)W`MNf_$fBhll%b+l09^
zgUsHZo!flJ#{mfBYQ=yoO85^dY4WXn8@5S%F5Et2i*ktQ(OVIMN{%tFMoHR?4Lg+H
zv}#B04U6pP1&P5!{So;Qwi_ssS8g4p(7_<8QP-e$liE!Ec2`<Lvi^8SxU*RjWq&%q
zHXmU@>?5cSviEyAuEp{#oAiPfou#Lx46~#NHgWA0^~^x&%2lgn)?ugmZ~1meW)Q(}
zk8dA<2a>AjQ^eH{W31a7?BmZyA2BZV)YM7FQp6-;xsE-ggndmT|KtYk*jGH#vjTU7
zmM4cf$+|RFi`|;^6C@R6l)JKpc~%{Sd5Z;v07shOCI|7*e#h;wVh3?9x4DYU6f&r%
zjQj`Hi~`NxUh&t`zoCsYl-!bc%x~^WU`F%3nI=tE-37e5kv^mL0Jf46Ku9&trd7~u
zt;Pho#viNbDLH3c4>$CJc4k>Q4OH{anXnZ=E4waMoL%#))Ba+|+@Ebb5nh~boIQ*`
z5tyTmMXHzO3BFl6$h}{RS#$ev>Hui<v7}2jq<^m2P;3UP%?N0a+)c9%(6EczTs)vo
z{~Tv<GO;q{$^t@;og_^fUL4JK>WIWTbr@$gBpar5`BN`OO~PXqVz&C3&4mY&NZ4}f
zT-Ky24h(9{*Hv7soB7hdR0xpZpoVPBF*F2nZ8Gv!J4egV{(%<Yn#vkWlNBUxq;z*&
zVDC!H3OJxqviZB*G{LG$?P3r!`d}_=)UFF}cdhW2)p%wh=uXH=+kH?F<uBRmhjrFD
z54v5-<BRWhg{eKKZ0is#Fx5D?v`*y6_+#kSp;zTRV1PosMHXn)TcQ3Rdb+^;P*?au
z`rJgfr}uymWx3!VtS`;qnqC{6|3fXKWhJ;zTKe94DwvZsSFE!Pu^`}Zpv0Ac-*o1^
zqN~nUs%#XEI@)CBJ9<D*W6z1p@yzXPG_Ab$alK3VTB)Ah1rd7tSWZD=ljW|pQi)MV
z$2X`PGb{d?Ld<=3FX+J^lE-oAHY>SQc}u{+uWtENjG5<~C6>R_s@3Zj`dGr}P>1b4
zzDABxG=`oSi0ctzdbXapoe3DnU|`)A;<@_GFlumbwCs41kvou2a1Tqw2}1HNLr;yw
zH-)~UY|DQHgf0EG+D1+H9E^Sv6}PqCgCgLp^DyTq;O#PHuKqtd5GP*tMcsQH%pTbC
zc_$f|dM;VIZ3v8#Aj>|+pJP<^_5kNj0vffaPUuL;a?}NHKiU!Jo^2u<9KjT|2p|xo
ztu&dj184d|l!+>`&cmnr4vjB)dH#HOnER}hAS1Br<N6WK&g5;ahD{4V6|xMgcLH&v
z!{xERA5_MsG*HqNDp(B?o&tT+d!HFRCk>=ekDT-Z(Q^2KVC*>t;O667JfZB;{hosX
zM1d<Gq(SGpa9LG3>-jYH7=Xu@jPMNB_7fcCeR2tS`x6)E9}2_WK#}!gRO^80Cpn<3
zWu<8{#<QFB-DIF?8DwG(yIzZ!@Crgo#^y_>vj8U&smir7z^I&25ycl7n3AXnD!d%-
zsv>kjligYcx@n;$D3Se>5=fwjPKAGd8JG}nZ=n5Sn!l~p35Kj|hew<_qBC|if2v7-
z`gKra1X;QnFh$+!6|B0vsQ`w0sBG>0!L7*)kt&U|>@h=QQ@APO@m}5Vs$9?kD>XAU
zIWh;jbR97-A+?r%Cv7J&K(HY`a;$EaqHzV8i8UP~r*@xIanHY;Jpr`XxG!4wKQ0hB
zRjsovH|GKa_<FoYqI<#IV*Bp4L8&_)MrIyuC6}E#Tm3H(%~1;#5)=W|S8ZXV_&I=a
z_&lYW$ocV3w=4C}a!))+L9o{dNG7rW3;meWGmWAzebKY$+2UCVdl2}tVxSm}vbK1i
z#*1WKu^;L6O0J<@AOtl+&v5qO>|?cfm6wfrECUA}&*8}Igj2$RB4?u34BSBn9c54E
z!Ow(=n<XFY0ry!PQ(c$2r>(2vVZPXA)hwWqU5@Aongn@OO(PuwoGq~?H>n9*woD`8
z$<sr128b&r8$f5+WTGH~)Kua4qpKY@0FGvjq{KYu(2Mr1LG$o$9hXo(58UG%=tGRW
za0^9&hKe?{w<y=Ur$bB?_F@tU0AaxnO_wEL#BRZI|NVDSL1lea!jK-RmTgI06?(Tx
z{QdaoOSyZ-*yMyZ(A7F()K@J6U6K(EhNGraE%M)C%W2e)>~5_>A@T6fPOgyM-wH{&
z$N^qxdpW@q_PM2?fQHtn4+HgFQ88WCaG5<7u-`A~jK5eDa^oF%+NHU*9^K`x3Hawg
z>1t4zFg6P8ZL6;Fh*7Yt_7564@V*IP{>T2i0vZLsQDVx=%l+ez4gexDXC=(5s;!X)
zI=RaX_y@qPJM)P?WPvjwJFGk_vs!j=PRy_yI#)oEY^*TKG3vxC*m1EB%$>Sol_ZO0
zUn1H=J(q0uyQ)ouA!p<63aIqmc7THJO5&B&tF9fWc{=JaxW&d?2$o(f<HtaX5E6IK
zvHSZek{4)J$#4L41!T}1VpUvrN*Z%6=nqhb7L6t-SP)9jBz0|Omrwa*b5T8>_CRXO
z1iK#`0*0x|{mY*UEgXNwX=gAzdxozy?V<j}OO69x$z`?03*;xHpz<jof|UNA16uRx
zJI8JF5bXM#=rtG;?l#islza32qwxMV7_r2gWM1mKXdyY-uH^h;fPSz#m9-hUdV^>|
zY(aV|6?~fLGyPtQqy%QP6f9EjeD=z=X)2W-pU#JNY@8ex{A42Jr2hnn2~&BJ++Nk7
z<8kOZaK5=qbNkb~K>*uqfxxk9T#}ayWqsGgVAT#}ZQ_V@HfkMaPaqHbw#Pi-^k^wG
zuyhuxV-Iz*pdaXPA10nzhI-GC=bid-mlGwF96KflGY)h;6MO_8B4^glIn_T?fa+s3
zmNNx+pD(O4=M@%bR7fx<V*y|H-EzVllWX5*PXwCUSekKmf|G4GoGl3W@mS3{0`e~1
ztWZ8gk6rx(gnykp+XBjMKZ$#LzMni>$@SD=rzlj_3sAC}fE6Z;O{oV{Tui3D3O7vb
zX%d2QmyBdoY)BCj?&H^9r3@*&HS{vb=<{P=hjs$E6NQW|9Dc5!U3y&mC+7klRki}?
zQ#&Rl;iowMI(D2(vg8UJv}|kw2QA1Eh#WC(-u}Gxp!tuG7nN0=dlMJ>{MgNR4+_C#
zqAINR;(i6TJmv<@1~J_5OkwcesjJu=1OLH0n(X_U#xfL1s6AmDV<svpr&8a02zi5s
zA2s;gAr=tfG{`6x4HfKpN#=bT{mOB4rRxVUMxn7s)Xq$*dkET7klD+!qMEPxl*|vG
zf{I5qxIKDM6R`UM_ofqGfBe2hspM4QwKStKM)RxOOETs;a~^iNbR(18aC4Ta?AgNk
zYsqcIGji8*HCDX5Q?jZ2-t7l|lj}MkJQ&~Gd2^;@CirOoxOL-rWM^lmqMJryh@x8~
zb*Yg`ThtW~oarUWI~fmsU&Ma#p;I8LANm<_oZ4-z?PyRLpnRuXs<J<eCEp?ej3~Nh
zVv@fF<s`d$cms0>m=4Zn=lbL@#JD9**0jLIGqO%#@g-{^jI}^<%I}?jEP(iY5;Y6D
z;J5^p;_Jx=FJ(eZ67?}mOw|yAh1=$JZK}gEEH?(IIi$~{qeu7K&w|0wL%BC8z?Y|)
zZ=CGRJ;5M-^o^taIHjw)7lu_yi;a=^#RjOx2X3=w9?mtdK;H+W@>agLmBKi}<6VH3
zYhK<&bab@*`!fy!2|_Q!0KuXeR&`<NpQJRsPbk#W1_oq&6k(vtdfC-FbAQ!#E`cpJ
z?cEpGNx+0xc{}K{>rc(OB>lNaLnw1;5q@t3`8hcyojw?;Xp;^a8g5rW-6xb1m{4WU
zaZ|$A#H2L{?oB&P>99M>nFp@F<JOpoY*M?Fs<xEu1#f~ATa1_HI`8Sbb8)`)3v;=}
zegbgZ+jc|F{cC0OZ?WO-Q3T_iP(l`_Y7ZK9rH<bE)CpY`EQ~!MCuY_{{Qw%k1(Myk
z_8;e<(fxvgM3D_1gdd-Awrvv{%&SsLLB__b?0%Y}B+P|k<f9l`nQ{FQA^$mSEnV*F
z+z^q%Y|jzq^UGUPK7HPw-4z;*toO4iI_9Y{HNIKZGO*;^@$6s^T_0b4R`CaD{yvlM
z?B+^~yQW>TYz2)$)hb9es91OPBvsw+ZFRM*&Yk!?(V0u>tT|$iqS3^e{mBwoY@RSw
zog7kQzHrA#6p{+>dNTD`>eSrqII)my6vi5R-_$ed4?p6mnJ?8vefo9r@AAMfMqZ6J
z`6m(b_m23^K`zN08f6B_T2L<i^h)@A^g*jjtYJM{5zYB0g;HYh=@)z4!eTxmYgqI}
z&9qTSLeB`HWD;LbkBh)F?iXq|M4Bh}EGP_C$K-ylKTTpnNh<USh&PSKvv78Q=T~Z)
zC3Wx+T=(N|oc8_CIe&ZcVH?*-jMw}u74?ZE=R>U{;ZiTV$P<G%?mBbdm*$O{d}Oyd
zF|V2?g%fyLhG#4{Vdj#QkxPa;Z*dESk85;e7Ty}+SUgh*;<quOPH+=d9i_u|`%nGu
zucNtnwQt&J`F#+?i(!Ktc@t#7Zx>~}?o)2*Ts+kL;DyD}#|a^eH8eA~{?1@Xo>y$v
z)ZoaA0!NFbY}&VAfbqygMfGMjb2dsisrkFuvV!)!hbYe};fQDjmVb?5ONn<&SmY&2
ziSc8bJj8Msp03)$-y#)pz-a91)f1lA`rlkRHxm9a^D6}0JO>_NXEONm@b^B&d6}IL
zEYMR<gW8A*bt9ZF@YCVSs6tj5bD5^*LyZ$qTkOjgj=A-=+%lmldZVT|O4F+RiR)C;
z6wUHX*!HRTV7wQS)khq5iYhL38}U?)>6|{_#3P0Atk2qP?sLM#!Q}mr=ZJoka^^N-
z_a-a>{?)QO;Q)I(MK;U+WQh3h%}?|?zAe?lXN2#<u_~p@1;$guP8~%Sbt9#oLr$J)
zg(HO-D36h@Gz^NIh>|kj%S4_!cW#Px4vIl_Cqi!Z)bk+5@HP{*xf09sHK;Ga>C)ar
z!57XziOkN2BN%teqf5Dt6P;Zq_V{mi18L=PpRrCkdhI98lJCzhYro4>C-rKFW&y3t
zKtN-$5xdkZ5Z7mJyNDxGRJRSB8>?#URrQQGmUn%)WXeV!**UO~X&B~_$|&=YD3s-+
zoUWl<E53o4)nFFckYdywR0(sHH1BV9^-aLw<)a2)8U8QxDWI_=x_+2i>F9f#IP2a_
zdU{*L5|%YTGlA=-oo1Ai^US)-M^;TCrf4EXN1Ve@p+s!=f>)Cfv}8UH!Jvt~u%IS2
z=xZ`;2#DFdWrhIq{yj0@iJq>)?55C@5-}6RR<pkjXC4%bS;~8_{Xm7;lkR_uo$XtA
zvq{UN9uhe3y3n+4<Wy9*1ha*#F<%EnA+e1gRgu+q)>aKm$%PaH2rGV6L<=#&FMfuQ
zCaa=id?=$05{&s8XlG#}?cFEysZZPeM=j5_O`SKgxzQV6+x@MMU56?A++Un?;QLX(
zzpdii*`cd9UBwSYnqiscWUM@4?6kJL%oEj8>x!<dmBkY2^eOseim8~ku1fMvFR0l_
zoK?iQtWl!nw}3_P)R!1RphiDse1Gj3y;u0^K}+NfFRGR+yl*scH7>_VVW-#SwbiQ#
z*oC*2d*-`Oe?6j`7l3K+-hHL>KTP|ffU8Ci69odNt0h-m2Cv#dl#R^xy23gp-dm9F
zHW84kN~hAk&AY!#05E=}=5z|cst=dB2D_@)zb7ec>qoZ1hRcN|JjU-^)*Kdk*7$cw
z|IT9TWnE@ljUPWg_MtO3bNo@E&PWxlX<z*|17E#EhfC#4@QY{@!aQk2@$30MFhe(Y
zIz10(6J4!cd^w@^VpH=GIB(|unioog&+Ob114L^6F-<}LuhSHVf3c750u&wTzdcBi
zs*W3qJT4!}pvU9kj+y$q29~>up;Y3Kr#Z{Z7xO3Z<^dTYOI_m{a2|BPM&6e=PYjJw
zgP+<XjJrPOxBoF++4n^ELS|yU`e?`F5t&H%?2~y_CZUOCr^`Atq=6syXIZsN;FfxA
z>ecNVXD<y^hizA$Pd#lTN1sPAs+*y#+G4zXnbFzz8vm5OuD{`_&JU3|Y_;^HVzb~Z
zp13(GX4`B%9E)mp(5FD4HIMPg8|U;R)^4CzES&#ho<rc4)`<SM%}U@qmF|@lO2w!z
zH$hkr-9n$M9G*&i_p0<h=+AvBZerYxSR%noSqsAxCaX)(>t2@0mn<vV#NZaJg5!?W
z;`GFoy$9An=9t31(<F`JEYqVkf2B1}uQ(~0adUoPvgCDBs@D`bb;8&ELO+fKpCS*}
zzfiM0ThchdSOvi^ir^{v(BCy1pQ~k0#9<lP!XdWXJF^_X=n{rOe43I+b0#Uj7B>9K
z`)t`ahwK%(&<nH@EgX*=stxnvs_9-@Rot1-9g*{0Ra)j`69|2n$A~p9A-><UaaO0L
z+IMsSug>x_u8}ZHH)UCV$)&ECNpsXT%s-JQw4|_##r&(R$6{(Z%!kMQX+)p)D7{fq
z(9^KqeCMGeLlZhxqP9uGtIaBLs}w{<vZz`XUpVm|!yKz_{G9!*9=LuTtQH;egzb0e
zO<aT5y3a6st01PZ>Lp=uqk+lW#lyOq2`qiTxua4`Iqd}2LJD3HcMx$4vueMF-yZiw
zp-}r=cV|AC)BkkJ=;wU(7^LGsb_h`&SB&XeYE8G7FL0bXmni@2DC)}6((;;lDytUd
zJ6F0;`kH1Vqk<TtVwUGOKMqao)bwfn{7{j<g@4ATK5Dx>$?82(CGe}K?|cf7Kzgq~
z`?@>j4wgDCy}{x}k|X3}5allxm@aN!O>s00df8(E4S4^4VHq`Rde8Q$!6}---t*gq
zS)wRS>)B@;Aw>(pBQybu6EUxltm=u(AB>c3nl*Kq_O6jp?T?qr$<52HZVDkbVU9p=
zD3llxFb9LvC%$pYAA|KBw(Lbx_GTL*JP+OyYuyVc9Hpuh;>X3pdT_&U=kT5FC{$8Y
z&3RSp@;W`0nMp_Q_}a_GP=}`W-nJOB+LwTOU<6E35?X=;cprNfUA|EM`GyNss3u>6
zFp^kw#IZMH$c<Dyombr6Gh_P3=PzO~dT7_RYxh_XAI4I*#`2><Yq`$`EOiH?^ySa_
zn#{UroGL9a8wq1IM5AWrn?luCuiYY^B*%N*?f8op`~~#?$uH=aTU2~%Q!6Kl^fZy=
z4b*52YR-OnmHAfhsXS^g9!iQp`FLpil3Z}quI5~ug7k@^FNhy|k>|`2`-<Es_ICzo
z_YGu|GBZ#vRCJ=a?{qX|F;3#lTik~%IHA|`U}Z#WZFI3`_|j+!kK#y(CVZ-HYfY2M
z+|`;Q0aMz;?pJ;0?&ImX2imo%gIM_dL}zxMo0<N9K<{U(_TjDHcV6H02rX$OhLWDJ
zp6%MmF<q2v;~xWCHCYJ|*3wH45s9Ws#fKxXXWsG}N4}C|v=Wy!@m$>Nb?gHW-MT<e
zW6i!RJlCk<Oq{jcAQuF$87sbmS};K&Yrx3$22r`ozS&NMJVaGQ2DVA}=4I=XgzAZA
z#)3n^+oiD(0&%`ZxWuOO&BM4e8o7(3HmvcYFk&8x^>!_7;IzrHd>Casd+<Zxz>^un
z-i7ewy1#*HgLH;tXBO==LUkgi<%%E82!fb<OR&X%U&_BZAFDz(H!*SOe)c+BynErQ
zp&}JA9U`F_ca?T=%12o!qHnpJ#-f1e>i5BWl8Crs8ig{GYFp4X@Xb&U0o&POmy^SG
z>+OPnGMYsR`Q<JL<npIgWX<U`d_nf*>`+YR^%JhB_kHI3@PN;3hU(#6$;uM4t0!T&
zk)>eBY$g=76dn!t2|G^_BJX2<>gu>)#F~gqZ>%h0M9lql&ze>Y&lRjW!tOI_w#avJ
z`mU(|35(NkIHUI6Fu0|db#0dT{T+t8`DLExx?GxW4iC>2AsDKye0%yF%CnKpz%P{$
z!F{yjtSA)gqmw#L-QtkH1qn9MY4yIxLV{=g7hpRB^eTtSi!Ii`r0cTF=(0`YK6Aq6
zC`6&P%rPH}mpxO5McTvHcPzWKg%JWFLt`rT<rnu<z{$rXWQ%V?3y+EY#flyXqZ=C=
z6(7;NdV6t7OMErLve(>oFCArk2h_3HvZctG+5nokIlkyq?J0zVH?w6tDZ2*Q*G7fR
zFU62b8KcX}>I)crp_2h?xy`pUyP)<Xt8j)Mm~vG4n2k~Ssdde+*l*;_4nV?3xp{VH
zzHBGY*7|3dZNvjir4IC(804D)j0~Cd`i53U)9hqms6+v>N<f?pX}9@;CSUm~o$pkC
zNhuuhT^)jc%PZ>EIt~ImlqjZ}Khc$!|A>yC%+trHzjRtESU4(D9Mel*6e%r`E`=VX
zN+7Kp61pV{-Da+jxyXHmhYQhV@5c1pwto53K6#h%*}|ZHT$;LBcg1w^ki)ix&yS7<
z+sw(&eXjP1c2G|3ZARgn{*e!&Uv7PNc<3`&P=ZrbzTvIqCftOgytx{~@931<yhI0{
z#ZSUd=S5o=1!sGGEg*JW0UCovpk4(y{Rd9yxWvZiFIvkR(?hHx>UEFFm!i&CR6mPL
ztbe|PBupeNm8Cf_s55{0;R<vqR|I&n%iBG!42taXXikfs$wm4fxbK$u0djq;GHElN
z8ms~BVw#TaaXSg{nC*J*&a-rI4|D-R#`|Hw*RcGs07||P%>W;ELOst{FH`^f3vcSE
zY|}cQ_dNvp<zCBRF^P@TB_aY&lf%!@YX%u5f9tJZci{qIo;ykG<Bk4XuUIP-=q`C7
zI%Aain2F-Yp;a^~9-1?JAtKCl@otLv9}#mgUop_u5#1cp>zl^@O0*2$eW-}0eeJ^j
zAWh@>$^@y^>N7+#WVY)ugN7S?57EqwPjt{{Eo%rwmqDG8eP)azT8_-pQn^uXem-`c
z5uakVSDC8&u>GHd>a8bY<KlMB)x&cOV!j(L13|$i!F%UCw5etNxYvEeT}`P-`aLLW
zy76_<#J3IZV7F@&YIIZB#<D~2$rcVYrqS!~2}38l8nxF55g9mPymMpyd&PuGvP`Mw
z<XjYfii~9Vrasp4^rU^9JYdS6T8ofl-xu|i-@p9czE)uv@4VQ}Da~&dV^dyMjKi~P
z`+Z+M^sE0L+IcX~!*QS<t_q{=ZY)s-_sMKzSJMz*;v={4S!#7ann<2+pNK@MM^mZ#
z8oI=vK4R+#BClFplYO9CdwKMp;r6+{@A=Rd*sgi#%_PyJ$){!ivTEscCZj#gG~fQ*
zm&4TZv>~LT?ZX1;CpuqW$6O$3JqrD^c(Xt7p|jKbjFZFV@8{UK(RuB8m65bZe%AWY
z>hrap%sFq6@;xh2o}^L-cvB#A@m^G_+LPBdnqM}?v9Mu%P1vnV6+X0C3etYYp!iX!
zKn|*NAVLpv&<%-+BK$?N(2ctArH@9;=2sE&M`;CKi;a|!ZjI>%d_jeNt~xeruuu$9
z-M_eNlvs5aq4Toz!sF|ZWBT!b(z}zAf|%3Z`^Jo<{(ipCb+6C9yBPO~u4Fg<I*(aH
zEFG7fA;Ou(jW1MS0|m?)*zEi`eF2Z8Cjk7O_>8LmhEB0ZLGF2ODLQut_;2K<XNn#$
zV5KG)bVq9{oO*0TOo~SRjy)a5Kzw_G6U==ZRh!09Zem<_TlVUi6~1(^gdUzdCWX^d
zYZY!h%QwGvE?(L2&;N(o2guH)s1%mQ_hkC|Bv+Nrig{4e$sT18*)&|+NQG9JortFm
zQGNOcI;HA^=BpseLYPF~&n8Aa3zPJ=?m-6bn>RlP$`iJ*+5ifU=D}J3J@seTQPW68
zFUKZ{qceI@(|0WOqlKxTh|7$5#A2e6XC=*$fxOXOc@g6?Skp8i(UX!_YOM(+<i*VU
z&=kbS&+*OqA6Yx!2ES?gP2RS>f}W%%TTetG|K4c1zK<J5>C9E#UqS<yI0}3PNl6{>
zTiG%!e%Qw6<D5iqfpf(WX<@QS*{QokHR*f^EsVG6x;bpXcp^AV!-D?F)qjAcE8WPW
z;_66#*BqBW-cd9dnHFuPubE#;4${?kC$U;rHTBXuz|0EKU@$Kw^b5Ku<p9ckQUFs8
zoOx#ymm*)w=7<KwSYcvuirpMr#l!ftKwc=mDyVA0j}kOdw!PIg@Bv0Lf;Fm)TB@qb
z(@&aTDv2f(<2*0a4Yz+hAU?)Fx0i?EN4HN(|2Dk<SR;7M!=Y@-;junD<-hq@q;N+r
zoIok>(Aj+UuzUSyg*0}R<eFsJTncYbH)Zrgmlx&X!2iSM*UyoQ8xbSMRgj>F?aJ1s
z-Q!8x5+2oegvI4rrWUZ`#nWqy(tK}L>`+`Keq}1)%ib=_fev?Jq$1nTWAAIZw&U_Z
zKq}~*{z9oVgXZ1?VfFrvUhOLKdV^|IKLh0n@rC44Nw?ZXLe&9ZttB2bGRdC_FxvUm
zl3V%a*8}eV?cUT2n&{Bb(AIwT<J`LH;d3H8jQ*C3W7l#6nKwvQkzX<4O4rjb!OE<a
zfcY}vM$F`oZh>)2b~EM&St!<fO;NYOWo6BUc-BHKHjmO#<f+ot|NIO3#WsV|e+Pm)
zm;KO=?VGPEIrP82rF*T|)vQX9YL+wWIl``Mq^ij3;7LqO{31=hx4or1TfP+koHmmv
zp~}qSXDwK@y@(>X6{!{<QY4$_S_%rx`5$|92hn`VRov9*z{J-Q<twQE2?^Z1pS1g8
zJZR|<pQY_Jh93tR7~j4i`Q^_C4oG;7y}gHddHGiK1(*pnPrb@UW(^(de%Vg_<<e(B
ziE;ECetk2L;OD_(NhFwF;2AP&l9OtVe%TMW6}%koEsj8dfGZQ^t;Zb2I(kw2=TZ(l
z*Fem-c3Nsqj?v`Fq*e?O)pD1$7}b4bjszJU0b?Y2z7!{nhU)o6^U*?YIXu9$^%BGb
z%E+nf5Z*ceEO6TabpIB<H8wGJP$*>kd}NyZzK*ZkL0b#`!JKGGU2c*88-L<m=U=9O
z%-MHLplSJTuVu}BUDNn|MHGW5404_dT?!OZX3@h#noD0IaidI(Cv4&~ojHW1KaQ7b
z)UarD>&|zCe;y6Qc-t;RW6W?CP6Uu|U~}W0xt?7MNlyGWV#;>R`<DDt4M*+Tb=>q{
zM78GeC=NF)&9LYXTbN@krmpUlb7zY}zm6@&ZU=^b?s|DH2pGCzpG*D4|HIdJ2U6Mo
z|396OQBt;y(<4e|A)AwmN-{FC$=)KFhYpc4D<dN#M0WN%W+5YF?__4LV~^i;A4lo=
z^!@$ycq;dOU)S{>ulMUct{n1e7ZGQNnf`opjT>$6-Q#G|B3rJwX_m?y!f=_rYfMf}
z$K=ES#T=h1CXqS8fHqh~k_SX&oqf74B`ek<HuXHzQ=dZ8y2;`+hTEB6Lx(pozYJ@8
zP~()7Gc%&hvh(kl?%%wpLVI|3$kxGR0S$o_ZOrS;!POz1HDhk>Ioj4CmPY5b_4nta
zch;08oF^m8*T3rT1a^%qzmT3E*v!b(wjF6-e63Ni@@SULzUjPrba&CzVnF({0I`J#
z>axwr2CmZ4M!<=_mI>J#Xmg)v*U2a|M~Zp+B=+ht?R!B!;GU(<T$%+bCqxatk*tvL
zrP2b^zH!SCzCAnZtwvwpd+E*3V{#y>UuS(cq+qtctwaKn_y(%-N1OBL(eg4Lx4D49
zXf3^nHK6gG>u&Rb6c=*k2FcuH-|}pHaNix$(P0cJ1T{;f1na`W!lY&1&#D!=IWM;P
zWyS?6NHleJ`7x)-?W>>@-aGdkKDof`p4Xrh6wSR|!qccrb5b$_EfhJDc!=dTW3$;A
z5D?v1v6I{T9+ISKb7!$UF7S+)*-BkgU%?8PX!m9AN29CUvnM*7nW~mrAf=;-*_kY3
zl2~3o=C-@Dw_ItBwi+L$y|)?0##Jq{q@TIdW@qKJAW>f8z8A|hyplP%?_*nXff~t*
z<O)jxNH~1zjqt;%rwQ!;L9%<rWiD$c)&_U$-bQZCXRa&<6Wx<?|M70m?Q7ks&-Qlu
zeX8!OC(B)j*oU?hhtV{*y{thG#FVE@1C^Yw_Q@_X59Fe}j$q5o$-wyC8<|GaBHQ*0
z`<4}WM-t%1Dkg_K;;MJ{#AsGQ!NK^e1+(8V6(ZINZ%*B=*=|^Mc_lfK<xbi{B9r@A
zKyx{!Et6|?+D8rFx7mj^I>)icPlIXmb52vcHFCce=^7inR3Nx`3P4l@DgHi4Uj08n
za{B6y@zC}c-oOaKJTi&Bulx>~y9Fh?^RL6oH?wnqXU}|F5vQy3MP8@ywrDrCdxcsF
zl|kzJbx+M4jG?(j?*4lCQW1PIwh_Btv_HND-+S*2)>g^GtApVee2w)aIFb=VN!ais
z<9@O2z_*cR!Ho8hW)0g_`eC%<<<)(K`UZ|AQELWDmZC1=*Z9+h752{r45F%Cz*$R2
ztL>~%4(*P<RlbtiZ0c^a+DBbFy3R{g<6zZOX1J9Ux`!Fi(|OpV=`K<85Fic<B=Tka
z_XjJz?vJS&GBB7W$Tk3(q@hD~m$!P4!(_G1jg2R0O^a#v3bZ1Y>T#cm6<ggxd^b${
z(KD~ATxMSz-=&{hE!w~8$mHCS;ipn`oR*M&9VPU$WQY`89t;=|19Y@M9lzQ2hY=X+
zn1azLmYtF!y=iYwruCX<)&n`#&8Xeli#w&0lV0RpPM=-AzKC&%EkrIp+uP%YoR&bY
zetVq)GW45&7^Z9&W;8u*&KQ%<O@E7c)hpaq)Mnm%f_&fiFKpkb<?z;qZ(j9_D}Tj)
z_^V^fVAEH`2j4#WT(y2{<W)cqE~i8fM8YBAxfrxG9>N1$o$^-9ezlu@XrpU_VaTmN
zZPze=zISjr&b{o%drmPemrbVB6}#!=&QtC?p>l8gt~lR`c`__FU;Y!t)8vwD-9P!z
z!zHAO^xnpOo>?EmnkrkH*3+eNPI{fMMMXvZk8Qn@L{?tQ`t3(-VWGC1Nh36eAPn9T
zXO?sIl;tg0I<tl}3quZWx|SfQmz=*zjvXPOO9uPQVoYvb&+7lSy|a9(fZL^^bS-)>
zgZF&ETgOjw51@QFX3>3TMb=y(qpx+Z)J$AwaWgRLiuLA4-jNBb$tl;lOzZU@DJD7^
zeKg>%u6UHrYolortry3(mT0C(2yRu1$CbtE?`vNZXV7D|u5lHb%|S1ByZ7kZ>jL+C
zv+EDTP53md@9}JR2<D2}zR|6F1z=#P)HMyTzb$yM&xw|66vl<@2N+sQ^e-6N-g;`Y
zr68kl5xDPy+BMa!U5|TTV>WuJ%ck1bH(b`{`__7<%NKkBN4yokV;SFjy84*{ZKgkG
z5XFoyh@(y}(?Iwb|72xZtnU7&Z=5m#&O1D2kkndEpZE4j>uZ{SG{~~y2bfD(DJr&R
zM5lx6js;h-As8UJ!PHmz83=u$rttq4NCW;+F4Cnv>gO$0r$-~jC&JuEswIYUEtlsK
zE{Dv-s0gNDUhHkg*-81)v>L0R=LhYp(d>+92lLVl1!n0$ANN&p2^ff*;AAIP$1b%~
z9|!135_z>2SYIFtbkeaUB_bF<8~?V{nY`Ticu%`k?;E~{pp?39{ZqDh3AfhTuRhG%
z+b9jjy;h{e0NGI3_|CRz?cF;U*GBE+9R5$~DS15Kt3@MXD*54JjUQv1^VjDMRAItY
zvnALB@os0#-evJK+K<wDyPDBsZQPNfR<<!`zT~|P6knEbTajRz(V3W3VD?(uj9>46
zh24DEJw|LK`2B1*HN}1vX6z+=jxqI^hwK!@p^fP$^HP87WgWT#R6j_?xctZ_A0ex4
zijqLn3~uSU>O`!`jB`Z4RGO=0kU(Dk`DP!>JgImI4n#Vl8=HvsBy$8|S3Y1(-l&^W
zZk?PN+S>_{m|5Rm%h*;<oCsy#8zkAa877%P>$;WRA*9(ID@Ts!ua`~k)KLwi>#C+J
zpslwt673GFmDl093B`f<4EvFGayeps?bc3aL^Hd$``%d2g!5s7g_-E7@~f{JwqN%h
zjA<XT{$mn__Twrw-`gQNAg$VTGE)bQZojmJ!-;>I?>RMx`OU=In1`AyNke<1N9A09
zO6#a?fQ<QLRog*?p<J|!;_$#k*)q#c19B(Sz1YrjqBweY3&|=kgG$iV0a0s4Sgo#(
zVluZQ;VKx*d|<q9huVs*Sck`%`lz2I$py5G=yv6q!`SP%XN9!enkP4>c+AEk;LRM8
zingEWETgCc>4eM-K4kB0g-*|L<_+P9Ww;v1%J$Tpf*z49`TabDfH>ya#BSx>NBx=r
z+R2rqD-t_1LqqE)*{yaloM(<*)cCmwVA0DMWP?t0pKwYZzuR2B{aSj-9Q9r{R~f*R
zNzEdb^)l4x1hJ^S27U+2!ugLn_R1Pz%S+5b6jLNHfVmm3AuHi*-RIk>AK|Ka5%GkN
z92_FYvJ?npM1C`;qnhxv_bVY1+uzuC0Z~4%-Pm~oeT%-fS=g<r7Ni4t<sxz%tv+1V
zd*?krv=xs@48T>?5S{~tVJv-ul8}}u6FxmtlIph9(YL!by*o4ZxlMW{^9RURyS9-x
z?{1|qiLEs0xK4cBtu@DNaJ$dHXq&k6R*X|yr|at+gL~0-8wk};jPGpe*#G>Q#Avtl
zF)qL^ENWmQpSygz*7HMi5gyQK0C(i;^|QFy+NnkHwmdxci=^7`#>!tvOV+Y9yLg^#
zm*L)AAuhkZ?~Rk6Rd~=Y8*%NmS)+fhO3&R#wq;s7JpgfXzV)0_#@c##t*j`3=T*;h
zsO4Nff0^K9yZc7|vJM%m`Fe{$=K2k>-YGh)%Z}~AyS+QsYw@-n+i#MbS%GmFS{Q9>
z7TfVu1(ht9?w!BGC;+9;A`7g4I@vD29{3!-5zV#sS|iWor@8j}R6MsR#^d!?hy8c=
z?e8f$q5^vdvjF;_(y64O-4t<ewY9s^C8G;+VVJoAbV16CsOxYq1Q60Fy1!YsXllYe
z702CsOCmBwtbGYWr+1N|@1rhbKNy#VuX}}9RQo!)92%8#ZaXDGD^-LE`Cia`h;u+}
zAo{fuENOory&x!on@GjRnb-cc>56cPCMow$Sh^g7O~O`ZqPJ%rycEyb9RQSWdC^al
zhKR2OWv8+GUJ58Tf9vS_4P?zert3?iSDx}3?^c2=9CFm>C3F0;!`xtzi1U01LJWWZ
z5KZL%Yu$nbj>r^s8h;WI7FK+=M!KVsA%4P+@{rEia%SZe7!SP$B^;0Ea)sJ}D|ooR
zA(eLl?c(gPH?1{<UYmEfZL03*9LB}Vv57Yvn+vd85OMo^j`hZ#w(!H5Pm4Pu_E#SY
zuPvnR?cNr5U(U`fXZx@X*m(Z%R_+gOTSQ71Ar-=W@<civ$KZQHWTH;X$HU$kx2^CN
z3z&v;@oMSM6o*}t-cKLWC*D39OrvI6dlxS!G@hUaQ48;9r@_>>RqC+1f$f}QR@yt<
z1v@eJeUB}9`?S?X_iINH9>BT7{05*iYk31(HlpW63aXdI7t}VoR3Dj-P$oKuzx4yq
zf)D?@Z7s>L5RNgr-LK~DZdVjbNW5SZQgl2Ja@?1Fc*{8$ki{N5DDI(k^WtI<GgRq&
z2;6Oy!W$tgDZSo8sH`kf*lnsXAB<MVtjzW2AiGuv21E)l;)S~c8gtI0(XxFm1@q>o
zi3j$Rui>DgvEdVs33hS~UorUh_`ulJW2giWj8Od+QH6@iY=^5~us*m6{(U~T(*MDF
zfno$*Z(pD4d$uHOvhTo$c`JSoPe0>aof%i^UA%9bPzE5*G&my-+5Xrg_#mmX8D3R*
zOFz}pc{;f@KEPUHZc=eVB3o~kcWZ5)eS_RE6(l><r|7o``Fs(IS=@l>LN)<w@pMyi
zD2!WY@N`owxtO1ThE5RnG!ayIAhHZKieqpxx#r*?FfDpKSNwnaFoDHJffb%0Q^sCB
z(Q~SB`wUYtk|$lrZQO%s&vrv#P$?xK&~5pJhQK4sl{Vu<o0*1mNL`;m5(MbQGU=1E
zO`X(ySS#Fe6Q)3he%YIrepo?&CACeIpxBy0X!d~pH_!w&oEi{9T%-H{EsH$hO=1~g
zreU_}(i#yPbi+eJrd!lTld>8rLWh**7sQExvH(K0%9#g$5>9y&d>TQmCsLsfPF!l3
zf6de4etY?3hXv9T&mK#l1ylI!MzcBb<nyX;isd)-5#wD{i(YRje||ApOX06Ckp(a5
zky3JpUILOT%+jpU63!su|NI!ZzaW+scB`_?ger0pRoJr$c%Z50Fe<%q#v@N6T=A8$
zKIE@k0)Ep9pcVW0$7i9Jn&6=nIGIl$b+$~mjHin`*?SW(GY=|rnM1>P!Sr33Zx+bm
z5_or)Upey%6pmdxuglgIm*d~1d13pC57W?u*x}&dU^_O*fk+R%nZ5-5W$>vtd{&C)
z--e&-*KD}(64kl^!bdm1tZZFR?bG@<A1s(Jvl0g;AvPTU9j!&%$|b5da`!aD-C%l;
zzq^&(cJni8=5%Vg`?p=PWrjZuij3>TZsAR4n;$detmi{Srh(0TEV?+IkuU;4a}X!$
z{(6N4@|id5KC}7G1KG35We$ymCSWJy6p`q5j*`eih$19xOj!<Aad`jgN`TZ3mLJ)~
z258UlUsR%RS-bp<loKh9AByz->NxNrm2tZJ(OLwh#wNqk%YRS=<ToSIxgW*vT`qNU
zBxE}I|F?Yy7ADyryvLHh1ABlcIBXV$=I;Zrs9j{Du=OxUilQJPgP#B4RKlLqVo0Wo
z1q23iM{1;Z7dxjrSwjGAimCykxcd1TGR{Fyt+W*XkD#ul8|EcB?9*d*rbHTJiDYRY
ze^xFq-6#CliaEG1kP|g}N=s~<QA}LA6dcCnUX?Zyc-O9#Y)*qmf3Q(CdUFX`<zo6N
z_-u<Pgj-vx9kaLt<H~eF&_g~&A`Epy9?wLqm$1o_;0#sccYM;Fk_QWvAO6z70}8&t
zNMQ5H;WkI;w3EFmGC;Dw^Bto-;9zucF!RyUpOI8W3(2V7`|dbZ`gLLk1_qg9T#5f3
z1Gc}v(bQyvE`wDf(4*@<R50mm?P}Qe+7GZIbbata^gEpW7o^vc1`9oJ)%mjH4>lEN
zX+xm7_g3S_e~YFk)&Bku|Lb&omBnk*<C(6Gd=?OHI2y6;!eaSz!Po+XrwnXCkDY!n
zH|PF$P7q|gP^F*_f6RUqgDpIP<PrWFySv^0ySwyk@?R7)p6!wfXP<U4yVx=~SeE^s
zGQ|()u?_?a`&e&KJ8j+_*Jg9@xu{Z{FVubYU*vu~4<sxdrqoEE6?0DE@<o4WM(ic1
z=0ZOz_aH?D_?359VD-OYBWj44f*4<Byz^&+uG0_Ut0jMUtNq8K2!JCre{%KPq3)Ot
zVw|gX_|sMMc_P-A#bhNo#v-KHitent@NXnDAJ*4jF5m*Ve_XZqv-ZJ?kHBO>Kt4tC
zHsHTpLhMUCC?IT|nw-4JFetL(V1uL^zxcO@8bCLWw^heK{QZ|x+_)$|^*^%tmt(+M
z%$w|>T2SToA@?Fg4SWcG=>MFs_qEtpiJH|h%GIqkrCK@i7i_-v#ZLcswi+Zgmx00>
z+Rz`$%D~^^JU9Q?rS34WY(@{{)k>)+z*%#Q2^T65x|b(@h(n{1h7q=Z&}j#NC+H;b
zpss#7+P^(H4HX1UOz!*+P;c<+61Cy6fPk-q_|c<B9O<i?6UwYD0|QOPmoF#&4vla+
z19t5Kknat;-~SKi;egzkV=^}%M_^?c8Gsr(Wv)&#xt|{JX}s>)^zifl2c=GY-TiBO
z_FenGfk%*EsQ}AAdWP-LomL12NUP(BfL7;T*UM>sOtGI5U?}(Fx)EE6|4!oknbI@i
z)^5N)Su)3mE4PKJ?&k>)eHyg0<B(CBTkODEj(ypZWr0rIgS_?hOQUJ_G{U3S`DO1n
zH>Z!I&XW7=rqN`RB(G;Z8EZLt&+%^s>IemdV{_NRHbd|5ruOkVOX}VEgW)ppyuLk~
zKZXeBiAJU25g&Oa#2BNar79PPi;7c!pTsXAhqu&$wfl=Y_a2(1Q}F~MC1oh8L=|Gs
zKi#Zq1rsa^D2TzIv5%3Xwh8ao=ZWhx><DSZq!tnX&5QfP;iX-K@d^IF#hkER6Sz_2
zt$2jaN(7&VjvzZ8@_`$Y9Z<EXJA~I8o*TcrBs=JnrR4J3L1FC=bAekb&A&jP&Uz?w
z9(tocI|K*xsd4lv5e8$w{Jg@3SSdRgTtbDEN`V9vnKAlTW#oGSA!fhe$A|WXX9o81
zNyCd>f1(`C&()XpSl^pamFyZu{<H%^3$$Q|a>o3<LKig*?+46jJx6>{XZ~+en*0_#
zdX}T(PzgOE0RI(WBG3KTPk76Lpqc)Z6k}N@-&#m@j6>7FHT0qEz^{XjRRrt5{W<us
zMMZewgkLHAuoXs4;Z?<)H~pF$Y)+RrdU?2caWp>QPr<}(Vr(h+P$wqo!;9cC!173y
z|FtJ$5bZUXq#`}ika$wb*y1M!^+NcN*!(hBh`YeP+g@%dJ~VO$p^x(yE%BlRe?W`F
ze&*NFqNE^`{#4<c)Nk_(DiTjaV7dA~Tj+Eu*?_HU!G)QdtGcIIGOof&@K{CO;T7Rt
zVW0%8Z~W1CwL@Y_maK#W_QHo*)`rw4iJHd*mWG?#`1m2_>CU~oe`ft~DzpUd>IutS
z?9@2)owgSsKSA-I&-B00(%Skl_f+42kLBFloY8>K(WIusUxIt$WpGJi*h^H)A!GoM
z&@-Glo;^&vq_=`2>78Uw#?gttP5}GEuZZxV{07o0T|ztvt|<QJ<EpV#_^_36ypF`S
z+ME27!_D5gh9Q5GL%0O67#p<aV!wl1;J;;Yv{0e^VSlT38cS0ruJYMwknR-qG-|aA
z9NMT~YMug4I~CT%_Q!VEBtV!T*zZqwo0^D47qr7>P6MSK9j&dELe`!c<$wI<{&|~0
zH$~~ocl=@W0pq&wE}}vXX-uCy(fxY+WP`0vjSCbU;eBDB&j0N*Nx`_Jjf;OMQbiWg
zIj>Dg&mWa#qTZVxR~575lDQ|lZxcNo5=dO_Q*}WtOeoHpD>MHR?L$8}K|{;iOs4;+
z_oTat6Ue#IOWj=(?bP%T{Pk7^<bTjmI&kPGcNiPERo*%??hK~2jcFbv8V~CciU2&>
zJht+i(jUt(F}($VLL^XZIRLmpCG4ChZwBV%>W#`cljlmP^jJe?9!J#VTK{)*#iNJ5
z^VjA&K`nICb<>AyQ}80>aUX0o0YYPZKgne76(qP8j1#JBb!0jT(a<lqEm|Gmz!{YR
zXVf!nj{0juPmnS&acKd5kN-F_L=#qIAubivFCZ1ZbCz1ya8Bv0nB|v^(~eDwh{^}P
z`#z2sqvz%%+wH%A{B#Jj{rYq~!UTZfWvmm={jo5<I7qRGCjk1OKmPMgdb0)6e*qH+
z3-@p7l(N!anUIVSf75Z<|J5Hv-huLiWLsGC!>&I^O3@(TRE0u?pDap2e66nD*h#%7
zg{#>7CGfv~xClNfwZD<}(077(#qLNB2D1Zu+B5i$b_nbzy%y-suatx~H23;67!#TQ
zFV%|~jpuTnR6a(&ckU_B`0|Yf(?%iIcTZ*z7#~*n1OL&|2-LPow0Ltr7jy6d_LM&O
zZ2^QcqYv}To(xHJt6prUt|wZ>_o}oEwPlFXVKIJYnA;W{=#gq#fAOzyWEU9wC4q70
z{a%)X=T^fZ&pZj`#TBh+2k&3Vwq_AOMZ=0RdH+SPxU}Jr&;2F1fFlFR`pZGZhkzKc
zWd3YqB=1AsrgN`wHLiv{Ymwh~#f-q45{Foa+NS?^`wkvRLkz?zPG0$sYCVWYLI83i
zZfdt-VVrY6N9A+^lc-hC-`$f!O<2D6Et;Xs*R<i{Uq`9@eYvu59Eulc>Queo3PP#N
zbW290tBEIUYQ+Af&isiFC@w&#KHxQfU;gCPAE%A`+)*juodm9>$N%w{L0CF((glZ^
zc{KJz!h=&iSSk=mfXqSj6Ay9kp+AHCz|_H~@!|rEK%>a?X2lFWrDtx~6c&TCkt$B0
z4^9vIgq9X?8YjeD>2R6l1G7f}0+uNfe!y7aXjz?5Nu*wsq(+-XsI6>#uqNxa_)YQ6
z?Nbfp64t|iov4xsN_cLUbj$o_6%;sD`pJQhn_`%m#>P}6vpLG#*s#D^-1u*zLk4&w
zUp>eFJ~4qD0t`7Lzl?L{ATWGXe^#IJl~t^!_ZfY5`KZ4YARgl|+ugw^5xwFz^Yr7}
z!~oehf_m4wB_7r%cxEQncjIKDT^mqrtMARAW^&YVqQdZ|7F`n@77jXtV;gu5HryF+
zix?E_+Hh*v1DaTlz9y$QRq)WIAShAd>&?897r2RkVCJS~$y-vrWE9_OMV8zZxxY8k
ztdnSI(dX^h&5gJHbSrvoaX-*#mjs_c^<oM-I+Px{4X=pB3fF-WCf|pH+|0$_Y40*V
zK&?<s(U_Qnys?lxZLK-8&E%GLWPSS~#t+d(*gjn(#aSWQ!p*oULbD)3G3R>>Dp8C}
zCxtvoT`GW!+S1zP0A01{!mNzWSXA(Z;b4b6)|3LWS9u&4GAd+cmXx@du3MZ@2Ni&%
zU$4oe9h#>l%R&}yd7by?=W8}iEnk3BVr%abcj!bmwWuQZ<?&E`%Ri_Ty#B`G@boF)
zk#qY_EtU-%qvaex8O9ls7|R~AEYXKoYOb>X7Ug!0*zg$ZguEH1Dc|On^NnFD3fSPe
z?lo9Uw3LPpSWJ+@5rG^|PAenc&9Qcl{pZ8ma8Th9oV&7&&y&(<O6K0(@Na<aJ<o;A
zM<3EtzDR^)*{RK3&>vvhbR|bSy{3LSQ2ka4mZFJ(=AWratCWLJ3ep4bIeIc6vIp09
z205d1SO~GPkGHQ~x%FtZ>t-wzx%j6j9=>~y_Vj|Q{(|Srm2Lg1Pef-}?}q2<EvU-x
zdukI7VC-t>xYMC(m21R>;SAeZMd1vkadZbeaTVvLZ2`UH<<?hE0+Nv2oH|v9Iphdg
zID508ls`kqv&RM+L()6UeNwAJ(JOlH^SjKXv-1NkpiEI~i?lqmHga-9x@$b6O`Xx&
zG+flu_8DA9Y*Y(-sbTiNEo;^*X}PyWpm)a(<I{~BJ+`Qi?9l=evn%uAC~oTj?*L`2
zLA_B|U0j)DobH$Y%R?x2#%$4toctZQR$2(OI^tE?1vqm*JA=O>$-_-N;!m&9C%wsB
z8@fb)&&;@CSIb4?U6u~vdIxhiwWRAJTxY9aZ7swi>Miy~vA6Kdwgix`V<!oq?N;LE
znGwi&R^_<k{v&OZac8yhrDdYo&BAcb!HPKvid8#ajryj8R;2y71%fmQ@$n<y%{x7j
zz%TZ%ana3JcKoo|mlUiW%jS>|G^WQ8PIlA_;vI`Qxh1xD=N!<6F1i%svkF1njWyI6
z%yqaT0+6u+-uTM9P2f^ddSuC4O*3TpD`q#=`eJ;1&3p$MYXC@3j_j$cJHUpZ>VOmg
z&5^)2tr>g3eFd?odP<I1Dct0hJ^5hBpYL<Xq4`w0H2Cj~>Enp>h`Q7TSe{~}sNJ^G
zVmostJBrgyr>D<Mkr<2ZaTr*4&3Sgr{G5{27<e*9`t_442c<Ut2EnKzc0qJ^fZSFR
z+_8i7gA!HT-*{L25wAuRV;OCJ88D;F0y#}Q8Jh?0<^oF#M-C=rDiV1}G002^P?JK^
z=|^48rcrac^l|8+Z`Zi2#2JgUnx|L0?s&SAv)=9I0oL_INUnk!b~}SuP~$hR8QfCB
z*4T`~uDOAiDra`e3|^@Ux-RgsH8rwFiiY3vV33Cr7g^-X^tl`i7>;i$t(mjLD5wud
zL2)4bT<z~L@c3(lV+~~D)fE0oqiU*ixo-`xo-C4f^ye<n@D1On5@d|>w=OZXKSp;9
z`)lwLa7H~0XE;F=gfPPMUNO3oq=!Zk6f`$kSQKdiJ^mte5dNBIqT-^{xvA(aG!yhJ
zoUp}aTtg5HkQFjKP(ZLR$uS7d^Q?q==q#^9n`ObAL0u`%vVJSk#)9&7dV`@1q_XOO
zgkKM229;IE_xVhDW1!i>o+b1^c<FBG-n26El~4<*4aX4h&Ml5TJ~`OPNW2VG-7f_?
zDeQ6hGn0`FFkFi7tMVeroSmD~?iECv_J`V9^?z)$J&;+{HgWr=(6b6{%W|3KXB##2
zX@Y6D`QF?*{&d|;L>yb8h}s0xlsjsBl)(~O<YD~f;gsE}Ki4Ig#(|RDyB~6Z)9K{l
zjZ2}dN=9s51oWD+2T3zX`OQ%3ViSZpGek4WV#g_CXjplCn(I_8gSd$o88j6gdPhll
z7nMaR?qc1TFktsOPW3?z7eV%@h`~nUnGVaslS7S+5ih~64@_$L;G7L0YCzJBVb%MJ
z<5B2p#P*ys(a`ZX26cZQ=yE++;}O^iW_jNUdIeqXN4?pF)x0aMey+nC(r^5^Ej*o8
z&wdgR9hppl1UBd{fM0K4D}tX*%uo>nja1g}s*Ke7hc}9^^DcqyWpr0Ph<FXu;EgR|
zW2^l4`W`gU3*0MM@xpx;kd*iM1Y1$ec&k-Lq3D?tc8=o@Z7fLfH&&_7U+yk2*ZF+n
z#1ZkcWiNW7uqR~?MZQO~Wx!U!Q(^oizzFdW%@~>o4>TH?i{h#-K`EaS%rvx-A;o;+
z!yr^k&pSW%<p$)qaN2jg0Kpk;M>un0?ZW%=U2xO!_LW9zqtR5OE8tx#gSR2fgg^p-
zI5jc@kzsYg2w5v5{MF0+@5ksyjPj!b^r1}vPeZw4`MnWMC=k|QGE@C+R$9Jow0l!~
z!&UexTE7*BeomL-J~Q#um}$66SJE}^{H&evK$t(HDL!OmM}gDh&ScIU0zazgwg}`%
zx}4Y<c*xt=Qk}GT@G5br|17-c`=-zFfoD)-;l*_1aFth=clfDmvE1tUg2W2y>II6j
zW4{+F%FXkJi1_Jhw1Y*cgQwG+9#xsq2Gt~Vk2#$NuvZ^z<)*>E4pQHL=ZEw&aj}rO
zVEJV(f~f&rq^kFEDKt-*&TB;y+4`zxnBTb^%<7b>{s>W>*K<~GOgz<%c}R@SLg6+!
z5uacuDxT;4=Q}QmmXUgy6O2tfFCgoOa)oj(cKw)$e^B&9$2W~sOfo-|bLJI>i>2_4
zQQt@ylRc4Whg<UzSP_*^l|$ZjpD90WP%;VVRVu(<x>C)M5dRtgiV`JJDoF_nUtL;D
zr=772gd4F9Y$L5#-T*19hH8GJHZwr|7V0b&O?y*X%OF|c-TV}$#-^F~Uu7qv+!xsg
z9UANfkenLmZ*&KmfP#}XElBB4;=eO|c&sGhA>qmmV8f@dEm|#sAAT2?f}~p>IR)YD
ziTOgq;i(SswX9$(Dk-@$kd9z)sPHcsJPi*bM_nCgB%U1`)le*s>=<m!aC2=+wEG(A
z@bjG$N#>~^?3U&SnTFU-7?@3EobZ8HJ(OQo%`ku>nbk-2%c~k`?T_2hSl~x(MmEDf
zKl!U~4Y7*P=)V3@6~N)Q%C}^$nOHYAE`~(Cvv^ISwAFvjC-X}=O))g(;W(gV3{80W
zAO*}Lv*FbsxnZy5!pr_?qU0c21vb~!D1TFn-(5B3oR0&zNiLIyD-L7~a?e6#Spu5O
zqx-$Ukk>QC&)BIoANr^_^u8d8lc_%3H1l-2YiRmvku>2V{w0~8<I67bUEna2p8@nJ
z7K{Zv_GHOM&-*<Ea*TRYt0(#9SW?j8C(f4rP%P#&8aD6$*!A1yj-T?umdnN!cp#g2
z$DI$*w}}#pB~uL3%dq7f8u0eD+iGd&7fa6Ja>G8tgi}6c>@LO5Z4?ssStGoxS4(>&
z!UYY#dAFaxxPODSBCyhl2u0}PZZ+y;qkJ)e95tp6i@eN;$Q~1_G67A;Ru-MzPs-I-
zj^4^Ymv_Jz$)7=i3cC}iv|deR&M`a?qUcTJ%Fu<SW-``-Di<3xsLfkpp!*t*KRrCW
zUwH*>QT2J74IQM-Pk)DgSJSoCxy1OIM3<+Q`RL&@nNsDpdF0e-?yftjtkyC8Ks%-O
z2uz@^y=<1CIUVsHvz$&ypDNCxW;F_$di#quatF20Ip5yBvE)t<w%x%8TZi5?7SMFr
zV=gbN;c(r#fjn?0?b3+vW;S0<JsoFfXW8S~`Kw>m?2|%e;I_C@7GgH39niMHH>Lf{
zUZhZ7$oR2Twov`uw3)hBhCQ(#0qYQ5%krB;q+r_;5sARbhrD0|K`zRVP^tJ%MvJx-
zK?YHTLQ_+k;iE|1@AkN4GccLb(zW02@Fzb%({}u7sXD3L=qWTSs3^%`>sFO<`juRY
zxCiHWea5IyrcWf5I59*q<1}iapV`7R>|36n6-#kFWQ!{h;I&7IAp8L4A3?8;>^V;Q
zfSix5IDB@XNI=<|BR=xQt+P1oMabg6Q~PG7{-K_L!m%xK@X;+%U0S1g-zux4(ft+p
zl1w8zcc5}l{sp-C!G(aaQm{os+cqWBd^F$f`r}fu5zk3D;zej4PGFq@s4=6y<p>1}
zN3qN9S*6pJKU4aA*eKuL*1W;zQoM$9r+w0tzu}{Mm)H&x85h{0lIiRaLBZGx!!WH-
zXM!NIo4yxCbCni{n_G7m=%)NUkWNGxFE_vs0BkRR_jgtJ5m*za{Ljlpmb|rje)Q8H
zAKSUJXSbDH_*CGcFV_H~3IdBahL4V&+ee=SWDA*5N1o7w!$+v#UDRSNNJl&J_KgQ_
zr1|OO6zFez+~OQo?Mjj5bje>K?bd3TB)ypcq!VjrL5&L}BIb%OZxc`mQgq8`%=uvJ
zOfP<s!PX<~+&x?!3t-A3{zWy`E(_4TJm}x=d5O2SU}m=Wtr^>Z3GKkf^0<4>%dNCo
z=-E7?FlI2vQ}CnXPp@h_CoCpF-TWRiza3Vz=e&loej#3~!;XE{L!tTUvpny{5Q}?K
z^kquT#g-q8he^((hpT+KHkQt32>%!!8zx5oa<GDuy5P3p)PQca2en{cbw<(7YG1j^
zk032JJTR(qwTz5aMj<zGeW?4c+`Wv5%RuzCC6QxMRkkgQx+%IkLY%**z4VYJ8-({O
zj7SyS5jHiGd2^&m3bZ+VBUqOdS)1?gyX>$sV{TP6$GSFLEoPGe$^Hz91^2GNAb(u=
zdxQF2UDLBiU_w;MkHY(b8L~36+eUu5-Bo?uRWHZSN=52AHm(D|B}(!s%(f|~T7FIJ
z=@;)Mx?2qkHP?{Cn@&Wl${-hMb4!H%!3FbQS%hRXBC%ogu5b}eKRe-EhugXK`~Kih
zCe@vi=?o`;U4Rb(wb)>E2W_VCYFOx(riJe&y-#4FtqegoaYy?E(E&S~rHuJ<H|-|;
z>F`D2xUXKXL8_J(Y)5+_nRBWg`LtURa4He}4<Qm-q2hAHN5JaZGtp7wA_m)w^0#a<
z?aeeA);C_OtNT`>j|ySF&CY<dp<l*7I*)4=8X#wP<4D7}(L<$NkfGEh{uI`fey-3s
zykFBz>vG4>-G=d1YfYAhNv?>3mPboFM}8Tp74o`z#f+VZj$kHgE=@<vhzbp6PC0rn
z2~bf<O0cm6wxx(W+0e1!r{Dn-o2(uC>igh2zE`M;a@eWQGQ{)B^K*@Hloty8tnOcN
zm}nDwc1Hfq{rih8C+EvY7f7L|TVO(#VWCaP{hAa58SsQ?L)#qw$Ljag;hQJ9Oha2w
zNciWE<|Rb~jm}N{%~oJ2Z<6<?TKf{X=XIaXmgc~m0r*3c4Nx5GAgmnHt0@B{WA~3r
z@f-}px!=9zO0W>THP#q$G)rT#F>?zcAhP27&}bLa#qip^XeYj^Ix{H8;VoB@T~uv6
zUk`LeP!fEVw#HUr=u6988VOiyz#Z%sNA}zyjg!K~4ks><agz5wk+m*leI~D3&0l=o
zlU>cbfY#HW<)%8wszAkza#@+d(YUY@TtWmcL?GpU&0ZMRm3jNxn#k<s;^FYxsO9l=
z=V~u%t)($J%?^sSfD>Xi5OoR6>rJGAjXWPXMpt6Zt-!9bcypaD)1#Qd%SFHfM;oFR
z$b-Rl+4Dw@DYWA-7|@m~3lq~`s3-;s;ck;$Z)gY=k0?ijqO%;#&T0wZd&#F7hUO{7
z_T7^cHDQjQ*It=O&^6caepJ2iU4Z9-|I3>FImM9mylZd9+uYX+Z=E0*Yu`4=X+DB`
z$)10<;%?OG!a&Hb=M<qpj>sy8gF(dDwMR;gwSXhgv-%v)fG9n}@Es{jmXz?P!kTTY
zsoPe;T8wY^In;9}Bl^I_66S!Ww@au1SK$p(!_=f1g>2;(%QN4)jcU7q%`D}p)UawF
zky-Gz^+1m0(&IFfP9avM61|`kd6MtnCs!s^boVmQoai$S`7=XB1%^QW3>m1JG#r~a
zy9P$J(P^(d!Qs|<RjmGSpU@(AzE~ROyV!XPxOfh-fyMwjf#O6>M>!krhWI!0`O4&j
zBoAEjSMwhYl(11oNA@V)A;z7&5SR{~+KeEXKk?QMY61ASyX)I&kc?{JVTzcwnIw=r
z$d01uh%|RqnKYe87zA|GQ)$<pu9@-iq<lz45H8HRy7oO8Mz>sO7M&92;{qy$N+YHx
zomaaeka{ga3k=jkBUl7-JX~b=?CT7VX(Z+5-EnJOQ94rA5tv!D0_L`~{zz)I-B4~d
z-FF>uR;VgU;hzhSiwmy7$s|>;$y?r24bR21o_qxQ;y6zY42UgcoBNYeZPH+PBNibe
za|{&CS+`#9HkvkHdD-cPeNc-lY*?)}ZVYj3CMwYuc(qs*zEl9iz~zUF!J%leE%j9k
zwsOA=W5yGrEfEk5I7`N}JV+Ls0u@CaB?>MMmyK|ev$2ND);`mS?G0c1F*~Q8XIc^2
zBR?n?|GDE}aK_RF-7AHg{+m#w?_Z@fmSN`f!&W#?gbH63Se#IAb<m>ekYA?z@2~!q
zC!qZMw%GK|;@#1<q=MYLmNLTq#^vE_n>On$2w3a#>1I(nlNLT`AP#_fj^kp(0NLTG
zvLfI~uv-E-iB&F^vm@$K`QhjIlXOD7e?ET1E8I;`63&noySxv)P@)iRU>(dUrztUA
zsm&&?p_43=m1zxfqt;nNJQKM5R3hH1X#3!c8n<k?qqs{|Z?~37k@-k)|5PhTPc+tA
zd(w2pwDQSyVqolI)u5(ddjpK`KPU^5;F9oJra|)lhSmFK1Iw_*$kvH9m9?);7WP(O
zaV1Qk{Q_K36$<VfGHPPkc=-V-=e1^LElkf};|Us)kk^oUpl`u@MB`_~K3)*Q8;=sO
z?m&nU@y`0kNU&l2Togcg;>)L9Qsk3+rJr~MrOsTPh0u}~KIyZyI}=K(4%EyD_&f}&
z*vBr@@IO{+nEayOSSUaiJR-}+<5rpAxkERZ)T$y;HvVmy+wDdJP@k2&_fK2c4p5y3
zf{=-YKD)#l)_OYKH0Ahk5|qVbM1ekeVZY{6`V^qvICPAqn>y4ZfcqGjOg$w7>Zjdo
zY$PWOAbxlq-tG|eX%F%S;IN2bGTJUvPnv}#ZMYi?jhTatQMaR=D9-<*wg^n3{U@|c
z^v(*@CFXQ0%fd=qN?n48jOH=Qh8Jtb6|Yq_x{wFNv|lzFUr+dVmAoziu@`eL^#*g>
zE?@5%uF}cV0y%kPs!*g2{7=gTn2~2{^UcJ!!#uf0;Eu4Qt|a9QMQ#-EyxehRw)r6Q
zcj0`u>fMG*`~Q9$c2sPd5axMeF5D?|qg=YFw>n{h1vrjrpJ{6FOad0&arD(iA!t4g
zC2>M=IOo^=^M$Hs(|*XZ2dyTxk~SH!RdnSJ;T;-BB<~L8N%=Dk^2=<-&z6^ktmAMh
zpBLgGfACsJWCHw=?Y4*HVwbh*ebX0rr}0p9gxAZ@6R6wQ@dncArb3f9PF&FK=_jD)
z1GH7_N4#%?jdw2qO3frK!;}+smJ;Mu5=t)~jJ?pTP|U#4e&=CUgQ|+u$e{F6J_b0@
z8DDO>GvWdxpzhv_#qk<b_2tsm`4bHbS4NVjvE7`b%5c%?`#b9qp6)~EX`j-rz1z!(
zRH|`<IZ^t!Ss$nPUa}YvSv}9Y7U8t>ZW1KeizvV;aXr&YA|gu;L-a=Wd`XhCzI4JB
zE%n*nj5CPugll@nYa`)}s!vrfp1C>hvE&uMcg7+EuqHJM!r|Bl7sh+}EOYjYfJmsh
zO0UQ+n1S)+UHxubvpO;vUtX4yJRK^i1aoahzNZ>GYLF6ay_46;`gq(LTXzbKk_Cy<
zQd&Hf*kWk{NHx)rqWGF+M3-p-UOtos$7-PXeIdK3$|anh$^TzOEG^zebhtfl@A3HP
zX7Pj~T81>g$ev1KVO*ytpn|b&;SoJ%vAcxxC(bGDt~ZABs)lec_Qiuz;Naj}r+u0`
zsp|<>F(*JU!-BM%+23~nS(ek7b4@n!?aVrPnq|zSKD-kqNkD4<2$z0)tOjb{2$BUP
zsYQUV$|-mY2do36ifAoETbp$xz76`3s?;>i=;FTxXaEvkY+cNbl)Pi6TW5xnIv80&
zJ_S+Y4?K{G<pS6_Q=nuJJihak3N<k(JvCb{O;C9?^`QX4(kxS~VrkZslUQIuPK|Sk
z2Kj5*w@E=z6{`o?1}OmxYQ8A&CR)myNZze?KWS%CMyKlDSFGc|21b9D(`8@b*2N}`
zu0-l5<ND$OI|t<mH#I*9WuE4=i+JyF77+~f4_%~$ZW^q1nD&`h1#WVx5kxQ?`V2bt
z!i|#Zno`?v^L1Wsb#K+=dHD0a{aAwk)Xkl=_?k*|1fMnw9vuSyRQnk5LOR6Id>-=U
z1WH%&#Oz;4>COVtzxrJWvh_RoibIW5o-XP4Hg_o^V$Mxx{<MoHR9bp%kT=<e5Xc#(
zbE8YA`i9Lnf?v&M%>p;2nU4&IB&@2{^WS0}*d+_N=<Sgqd#`ut6FAHdVF-}44wKgr
z>H}O$F!>C7(%61Ou%M#uSEpqahN6P`=tUA@&f#Yn=4dBvMRNsAhfHh)WEI-YA8A6#
zvv6`j(dFm`?eQ8ZPe9BXpenH^JNmNOp)VDZus455*mZ34Qagv7CX=!1hZtxcPR7OV
zE(h8{6N08|ISifFx|;jF;Rg40znIIRucX;3W<0+}*-z57QkoD|s;@?sJnnSszOVq0
zaub&WJZb-FrvK>M2|-AF3{<|`I5uYkMws~oGa|MXuc~PVVaW)xTd0g#L6p&HLW!mx
z<<dCL0<WK=+<U1fGXN`f_shN+gy=#ueDHngQOi@DK>$^lNCQ*>66iV+wBpx_qy~R9
zEO-M0qEiJK5OZKamL|<ap!XhEfv55CMOC6J^M^L@=wxF-03(z8)T$_d$g#F*cnI|Q
zjs-!84&e#-NdCzR(<=Z|p0?qQOkZq?7^fy|xGTrSB{5)cy%8g2$J@6(gfF%q5ILP9
zJQA6U^f!8WTSL3345skp!@PD3Azu<y8nelp1eu2zF()u6gqTYz6Ewnt&&@e*ZMVzV
z!VW%+Y?7TU+8*49FjrDAfBrSa3TELsf)no>-nwM+l{@E_pr|E*s!Iv$ISiyhe9%Kn
z!g&@Edllczp4XgionQxM^7tW<=h4q##@Y8xYnObgq}NRF3RMvEfZ%0Uf8+($OFuza
zLM4bA&9-@9Apb(|g~EFo{l5d{3_pFm2n9F*8<RTP0N&PI1{vWaW-<$*ZMN8=_G}KG
ziBhN3`n*i-O0i~{dVdda+%z-G0EP6a1F|D*_6NjW7L650_WOn^+XevvJaN{>u}5<l
z?M=h&e+~g}faMhf6BjY2(3x)w^F-5fsyamITN$-oV8hXkIO}2qB6&lm`%;{z27S+!
zo_5s6ni*b=q2;0D^N^K}J%v~0r+t(&Ok~GH$o}Vx2^M?3$1l&4C4XLi#n&u4Xfu2x
z%yolYRZY@?utq)vY(R2+#qdJ3A?VYe16c~b7zD`iCaaE6-=RzP83FPk3Evb`nM-P|
zQal;9*Ktf0{54+gJscwQ2BQrn_^)4!jC~1u5<IT9dqt20Yj_K&dkARqf!L47*VvV{
zIl<5o)UPaOz9WWyEmjhhRn>y1L<7&0nWgd>I3g*y=rUm{>1@xpNXJb;0MdsRJl>1B
zFbZ}Gj}Dp%^|40AoQSM02$2%mLtO;QB7#hBlamyNTmGo*;D>|-j`$Al%_&ZZ!&U|Y
z1DA+jm8O>%2&zFUbfH48xUZ#OJE>1%J0Jpa9S~0{<cXgeGYmhAY0zTk2<sEhOV>OF
z*pB453Mhmxu7A2F*?nbuFwfQMM5{7L9HaDr_nhPTQNjo6hX8&sx)O1ULsm}qXpGdY
za1P@32XyP|E9~3n)Vt7;^(uKLgH`7JjiD^qBL^Q@mki23r+Ilo&u0YYq>|lahDHG`
z0S(BEl6|AaPi!ik<IYGd6)MuSuh#M^Sc?|IP6p;Ah)!QnRqfS}4oe78<T8ilxoV#_
z8k|-i3zzP!x$gpYK>ix4x?!AnzC&Ia82?de-3wMm1AgNZTWuC%>0?ckx|SeJWS_((
zu|ODE<$|H59Y${omJp*Vi9tJCYh%LVnCUSM_xQI=oZ*a6i5-9M1v7|n_m;*Qw#Tt!
zwn;iXNpt?ddCiS--DgIr|AN*IJ)OTusO+a!YAnaVaR=Q(RS$~+%EQ)`?**8jNAeU{
zv|iQu7|AoqVgclJzKH4I{2y{Cs`|l3Zx%S$zGaIHv-Wa>2u0981SM9wOjzI7%-iR?
zkl`C<58O^?ZYhNUR!GWS8{BkHuL%?3&cWQM{5;ulxwL6(po<rXM7ttn*yL@jmwvXH
zJKX|2DySrJ9He38B+OZ0u@o45Xm@{A-I1H94vMV!o&etc=<!#qAP2#KQWD7Fw&jg{
zd#de~D5!a80%!|2yqb*YjVar!<T?I`O7qy9_?~ovi;(@sQ2Ol9I)18dfXEJIC*oBo
z3o;LgZbJ9kZAk@eWf0#-gk$F^x4I%t>gtoX3hr96t9}CKJO$@*+f4|~xIBy|t2$Ah
zWL-4(KC>fEhznb;b`1_(=~;v_3!pjKfWYPVs;%8QIutb&DY}x<*;dh2)wooYC%<n6
z!ERGRuFCoxa0L?Ps{ewVHx4-O>OF3Cys4Iz85Ihp<V^0MgeICalrzT87OKwX1lVHU
zivb6v&Ni0K%A?dQ!x0mi_p*}_+Q#d^vhwRG5dr9U`sVUIlWHg4$kfUfHP}(Y`{EA&
zz@Onv!F!6VVDo#VsdvFfA4A!K!vTDN(I^NrjHW>A9z&TUv?7$=X+m<!<Bv?6g$YjE
zMj?>+?}lEBO&61MTWs`Sr#l8=E+>c~bMxT~0^&jlcE9R^$x&22sMApyPXvm$7l?L2
z6{Mz|#4CMmLw@`V%h{mszE4=!|5ZE}f8!B?(K5u0Gd@%$ks*n~<c6ypTdR7adTKoR
zw-48MgpS@w;s31qAzu_PWYYvDC6D*-Eu~LSpPmyKmbAV0CP$Jqs^4XGq;zehZ+BrZ
zXRUX7G5vLaPWIj!RAqyJm&4QwY@6l@U$o`~IkB6|U871#gUXp>3t<nhBK58-gQ%FM
zo4Nqsdf_GL;}nEeBZtbpj(?2F!9-jnLly5L7g@B^Q>|w;5As{`kXE0E;NEgi5OMf;
z^OVk;kD~uUxe+CB8R_U=>dP!@Aw{X+aTsZ|DuzOa5Ok>&BSxs6-C&X#+$!geJwHFt
zE&;=HzCcFZ-9^(*9TAq!{erGwIQ^K!mP_t4>$}PzAckLsb1Gcz=5jDu&3#Iz`7c5@
z2-X%DMQiCxG)S`3yC%AveRWl#53-;w#ZSJYJDd8iK0$oOyUb~1tk$S9W2sk&f12=!
zD^(7D1dkRjQ_V`qXQd@L{El3U+@zl_$2=s(=O0u((I<QizE4d>nX^jA#cc)&;4!oA
ze|+$HFt%&~DYmYeUluzIG#W9FSCtb0_5?F<$GMAypB&!u96^|I;%fe_z6tROzZ)^d
zBN2UHe<m=jVKWNuU~e#88s>O}6n82f<m-~ZFTsl-Jl^49&S?}`A&4vI3BDT}-IV<3
zXhY8vNrDei_O~3scKIMQb#;(^bIxQBL$WbmA5xF;^m-S-tqlgwA!4&&KT!aQF+>KC
zC%;03GCbod9Ig7?5XzDFIQ`q1>ia}w7jnUdNXo^01)pes#J5MABsB)%4o+liBn{WQ
z9=ip@JPDZVN~>9fVL0xOG`m0vRBaMIi?brbN6hu}%US|2;;(ji22Mvv9n1pQtSTIV
zZ5d3H2t(Cx2_yzRdN(`KkEB@$M{mF_xB92c?5d0M%I>aPgoo`;WAV)lH;*ZZhI!4B
zsAk-IvGC|-LoxMbCwsd~A|Ir7FFc0fQ@l}fnGmP*a<C~2{Fp8hZ&_gRVs>=FZ#YEp
zOYKr2Hkb$g{O0#h<Z`0icpL_%WvkYrwT5g-ckH06-CR>H$tO5{xS(EWGrSaOUAB>3
zI1QGLh}D7lqmar(Q!?2n!WE`90Lus4dX=jQ#NG@hCuX{veoJ3`B{+#yYi^6bS!VNY
zMkN=~%Cgg!d<}sc`WlaGR$Yg;@f)m5e>j_W-9JkWM2*J=#Q<&!11#U!<-v*xNuc(1
zsR-vzbhy)OF&NC)avg3FBf{sRKJ(zQL2ca+vRv~^eR$2k7!G{AY`i(;CzWL2kb)53
zu9RXp9jk3pPIpu9GFoq!08xX1kTK*RR5Y={m*TEA(&Q-cGhu?^5J|I;dEZ1vF49VF
zUHLXRs|;eo!Rd=h^*~&FpM17ZGx{b-IKxerZD=L4F3acJvx6?hkv}h($+AySCKY_1
zGp!p{nmIKIT8#~<eMqKAMlwLnI1v28*s|};pp@1IIAc~+E`xU!w}^w?v$)FunW9Qb
zL{}#q1nIOyPWLJIP1JmYP6VY%L^#;c@n{nCA3Bj`y=kiEm^_LaBz!vKqSs*V+cUVH
zf*XuJS%#<!4NmN=v4rIWs~WkZ$QrZvXrYF0`MapXin5y6G9KHW&3DNU&kQ<$UllL6
zEfews4p)&lVU~wt7u^oj`XRpL!fbcv+vg&r9oh4op~%cayR->Vx^_+X8@P_$xZS%r
zmadxrHdZP{F$o(5tRciG3G}*b?yWp2CRwv?ewYyDFEM)<U|C@GLaWhRA<AhpwfW;4
z&abXhZ2Oifr=q{ej=bwU<|8+_<Z1)DHCJsXFEgDe%JIkZ39mbM)aFulG<qMZ)k6pu
zl}*S;0JNn349Jc*2<8ODN6+Rn3UX`cs0e{De6j$c{?0>NY<jXrP>lPh_d8*NvphZ%
zEc$r^-c`JTh5C*)3-uxyMYB=+5(`@I@E*7C&N|4NXpN&$O(<`G9pe$9v$ig$3d5vH
zkpIdXfd&de(=E*pqYa{4H3un^ea0)D@SNc^2_{V&?QFgJ?IQSjBm=S>0w%zqgXgGs
ziZu%_37T(SkF`f-A+6TA@fP_-q#pZmfE^9@gK9GB0)gq+ZuE)<4&W#-9rSlRxX30w
z5#6L!5Asj8MC`u^Px!QnA$!;6V>br=$#Er=bADpG2bP$G!A@w@Wzb9X*MNR^^$^(B
z6mT#74^hZ$Fnb4B1T;n6tK`_Q+0@8?P`ku;BowPWc3+r7^HK&V$x6Gl<nn+Q)&(zy
z$wg<7n_NSzqOY{{<EjEiRbtOR`L_VsXjePchj@?qSa#!qx=<JJ<MQ^XLJMSN;-#$2
zi_i<tCTB8sQ&U5=`=F2nSSw-5o41vMCT49#7z)5B4Q2Q_c0%`j>8=1imLOy%o9}CA
z?fzix{dc@TYZ#9S_=Ky?PgaRmRN)3gId5h&i#mbGLXzK!H`Pa$|2XX1EMdDRTW?X9
z7}g0zKsH-nUMKnEMHJE>w`z|~j{r}A24JSoiL=||fU<lhCnO^I;jva_lCkym#6)M=
zow_%gr7x$T4*&Y|aK}tnJG1L}gt=#dCnbo`APhzT-+}kqgb;cOa6$&`s@5>9PxVA-
z%InZ*=<DhzdjQLP=IGWBk4;G-6zEF@Dx-yX=TZDL6EEdFT<<Doyx#{{oM&KtwvF)$
zz-7h(lkx0{)%o9hja}O-5`%&IywT%gOxlEmUwUs62GptVPi~lu#;wmJ{m}X_F&bL{
zCW3=yp$<xp9VNGL#8bpO$8qzBEks-jfin$jd)~?k!`nO$79?TLd8#fRyqeMYMhtE{
zRq(*wt_3L}OZEBO@bx&Phyz3&QA4;SE*)~p2v^GdTh_;CNUkC)AAEj68E8C}?rs&7
z&Rr)+7%T^8Q@BcFxn3X-zF~|iC@Z#q+58chm2eNSpe;1fkqjW?Rj`Bj95;x9mB0@P
z<mUIWTN(Qu%m(7AtENcTMhn}GqeWL#nV?UCM?wn~8!_9N--A@h7Sl}quxC?}7Q3;r
zj?ht7m7~DO>kH*ip5l+i=raSS><aT(s~1R;y8Z+~0;9^|)MdLJ`w9HO60Lb{KdVGZ
zmTdi86%|MN$fvrxI=_)&^0)~^iw&GIse30pJdXhy6PJhex%++=57HP=lz3AqXsD=_
z7q$bfZs<oZL}?g<*9kA%0a_HFI_nMRI^L8xii`Mu<Kt8J4*0WL7$yzDpqk*JgxXYj
z@d2L_d%)jFK7lnI1>2c=8%WREx}{?^Rp~I{)mg|BnPb-oMr53(JpNU?0dMI75FXrF
zksWyQFzQd#525;^F$zN8o`mmcvO03{{?+L>O6HTTZv5{VU|PRD`eLB0K>ryLpJCc+
z_W8o`e7grE2M(QV@?8bEpUzRc&iQp>eQ)_JeOO}D<tF^`uWwz<m)W;sw0`;Xon~h&
zTvDbsIX*=~rA$2I8@W|eA$}G4@b*{o$&8A7auG4>;j1n8qI(AjTr?vmSi}fakj;2Y
zE2Rc~>5=a~a*F8JI*<R%6gTd9l}LX1RPEq*?0tKWG<2nBhgiCv-ZmVZzLLHPPSp>g
z_+6Xky2Q~nV$b*Sc(=KDe*1G0t|FU{pDn%&fw*#?J;mAtpu6g1LFv~2hFT!WWuwlv
z$Q)5ybN-NO1^Z0-#%;9GL_>06(0-`s>~>Y`cl3|DAEU|P^8X&GbYY3ObL}hwUIJ9&
zF*^&9(k(dNta_u0X^sEB_oUE)8|1U?UU+fIBS<KjMyx{yQhgA60ufct!SEAcyo89=
zydy2EHTJ?wnz^~#J}}|gvS;Zn*NnUtKCf`~Re(8OJv-Se%A5D)2RHb^4Q%x+z{qGW
zoALqbjsiGt!bBR>3!>vq*>BRjgU{^G@~=xrblY;vOhB4>QAWrxg5>G<=i{oZ(Ub_D
z)=${RPZK#fS2A~dCr!8No+z2eV6XWHK?i<<Rj=5xmSr;Vhc~=7jT!qEsEqGoa@}Ei
zwLyiQ@0s}N9lkih@GioGLXq?NB~~Zh-PdpA5tmXQ2ZKIbNdTl++nxkHGGeE*-prm#
zGb0K{z&W>~KU)y7_K@uxz$17m3qj&1+p<9Vr~BAjr^y&`tYO4}7UZp|BNLbyt+QE~
z#4*%U`f2X|4V~13Y_P4AwTaI@@fVO`ap7+OO_GIBUq$B{oTq%x`v`34iZU=3Iz{}T
zou3h)<YgX`O(<kC?O6l=BjVuvr<cX6zt|FV<gw)AD4?-=+dvpok72wX*5a=cfjJ!k
z*~I;5x2C~6Ax$;sr?q)0CkT~*k=oL}`PjCSg_=t{-{9xdX6laDmmh#PAHRzL<Nasy
z?mVe@0^WQKFH;SMfBI&9neio!*yrv0mp;nNqnwT2atxe28J`1&jPjy3Ly>Pgepo@G
z0B<=1dA_(jU@24Zz-K&*Epyh@0iNN)c~EL3_~K$vXtJ(JXZt%+S<t02`3_n+!0Fcr
zVXM|8T70UMknBRPH|5O|h*Z?!_LoHZK#WJ8wv1PN4jfbSgM68m6kJhG1aW&owYl@d
z{x9Afq9YlO;WyxTmkihhtOrY#_Yo0z+!8A;u-nuO*~fQtg^;dZtyM5UIcME{SsOc#
zNBBq%oUHbmx*|3ml*<gHl7W8>xboX5v~Q1E+ijsMo*;>0kIJ2KN$;A(_S;}hSSe9E
z@6u?x4%90E-sa3n2K;=lCC;Kb0Dt&v^-J)e+y?peF#{+T$tLa=7Dx@Y1-mv0dHTUZ
z08vp<z-o>^dho~>aRi^kh(yq|c)w@pHmfds*DKlNVXT6qq6k0XuR`jUp~8}tc`2FO
zPlPLr8*KRWW#(h}(wX?*9@7$+znOttv{r1iznw+H*Ub+*WxbXr5~SSFIXM7zN1pG3
zAAxxS;bsUfeN04gucEW)bCdvjzhuIYEGxv^-RKe?+`#g~E|0jm6O_pT52XEnd|h`u
z)!+Zm4UuGpB)TnROA*3FQe-rct+Fzc71z2{ib%_z2_cldu2G5XExS_o-rMi>zV!K2
zAK%|UpNCKByw5qW{d|o>0+#*#Rj}|wk%o!>-?9XdPm}o2bE%z~)k_P4>rcF;1Yzpe
zfxzOKnET7k&+S2x`MW3EP@K@nlXu7bBqoOGDixGL+i*r;m8!3V9mc@7ySEceA-p33
zLKTIjPU-E?#yi>deHCZ2{WR>jF%xkPLIq&)%2u~AwPRX()QN5>J|I>VWZ+r(sgXRj
zXEM#?g_7jg_c7&#fwo^PIL?<L(B_O9NR^dKvywZ!Six;%bAl;PItq<CxUAc7O(67D
z?>?Xj;d}@c;Ro>H?r&SbYgGt2oq%4({-ix$)Ttmw@uL`_gJFUDtBFUBH(e-&UZpg$
zyW1qR`i-7kLP|GR5$@HqN~S^cqrqz<DlrSdki!QR_#fWih#loQftG6*%w0P2*D~TZ
zB48C3L~f*_etC?&+21H3LOkrunqXDJtV;ohYZezW@4n;QIWT&B4}0%vB9s)`VpyA;
zqCgpT%fA=s>1o}{NrZA?0A(eZ(?|CF9P$f3ZM2G6(Hm^DpR6f6pt9k`{R=`G-duu8
zXkyeOvE~`WUeBpGlCX_*192Yjro8M+mM6H7d$VC@(IIjR+2v1I4*MjDIK@CN_A<`@
z4d%Uv5`7m^#xn-Wa=0*I9|Q=&U_ENs&Nu+hfHn^|6VQ5lzENl6O7(HgN$ObY*7!xU
z&Xg2oMbph%*8vqodtd1Q?fnAcud$67PzB*3m6cvl%*xt)clFNL6HbAUXO999^Ie~U
z6*;wu47gF0C$j(fyWf9^!l1y}N8I02s^lYPV674Qf$R1y?@f)=!S%AP;npzbRt2rT
zPoGZ#fD{8f%6!rpIgv9NsQ<Fl15ht74u)y;U`itSl{3Jl^uZ<{Hm*v9`nBZgWUIk_
zfh?AH?%WxdY1wa^>#t*Ci2c44w&!+~=;jp9CeMZtS9{Z4BMQqas%#Z-I_f6IPg&qS
zzFuRpf#<!G-iyF26lv?-8uQ+Q>Q3?iF5T4X-<@XF4x)%r1>{E6uFn@@6g)^vH~8KL
zH0L@*g%wyTejPTA%%FPjvshlkyu)Y;MTgBnQ{XZA&$MyPIKa~+*ldpEOIdKaOML!_
z(`85uZNzJ=?2#@*j;j_I0T+4>Iq>Pd9ck%<6G$*{@OA#pI&32|fiG}=unD^huff-!
z;?@@k?Qg3WMwNo*;AwFl+?e^n5sK;b{F&yPuGgC&3E5C=`=*xmK3YdzAbIdkw1Af0
zUe(`%FbGGK)~U4m=6bY!h`qV_PnemS&&%0A8llvF%(Lkb=>VZy&#Rtu$6N#<@;QEa
z={))XN+unG`poL(>jE8}r5k-oa8dOnLt16@F8eozc@cE_U?Atd?aPU@O^gO*Rv(zN
zzEa99aI5xs2p2Fw#Z9~9m~N5LI78WJ>sKXUtJ7@MSv88HzYwf&>f#97$8a;CFAG6M
z&y9ATcgGOHJ}CIl=bb~e$Mj#?1FeVpcFn2K>6P$?GQlt*e!xD@rT3?jXbJG*CmujH
z2C4;CUkBq8t|r5^tD%V}N-e^%9Xi=wBUq1ld9h_uu>IYjB!60*o$-Q~fXJ^_&G~A|
z5X&Fd7tjhxI6+O2Cpa=2?$ZT<U`v%>jW>Y!fF$ktkNJUbK6v@8R${iGtT1$8{U%ce
zTlY6)Skp_6Bis)tx;x%F#^~LdW&@I84j@P&jn-w*nd%^0MctZ*RY*XUaaN@X5ON7H
z#*~_j$|s3m>BgqcnBv>i8D}s4Yhw{EPZ^)4=uw+H*CFsKjh_^B@5|!4Hwo`r<?OEt
zmVGBcH>@CN!$gUkpgM{`b*%NDqay!tQQySgLLfiOv6kB?H2>7E&S8!;%xd(l4U3Ji
zK1P6Gi%fvV(ol)0eos%ygb<ot>*P{<^WeUh*F5P|b2?j~fL0HP`Us2F-gKk~vWxm$
zWxM011C)?#laC{G(7uALC?K&S?mO6F28XekFr=Un<;G()Eo!s$tL5>IH2U<2>-QIg
zOd(?ROX(1s<W{2rML^xPVyYD_j7INRi}wPO{QTH;eZ2+Yvby=48%q}jdwE3=<#Gl`
zUCfwmH)i3`#kw{|QxM28fF%4uc<-c&`I&+bZVZwx5=z~55FB$vg~x5EaCpal&uhu5
zn&Wpm-Wpyc7#v_U@W4M92a=aC_(Ejp_M4@uv{C6P+!j)|N-n3__l8{f6p}h1#SO~U
zJj$|YYrEC=&`Q|6J4ZNun9kUl5JKQ-!F+LP%+jLyRp7(8DYGz40?B);G|j32CvVFC
zOi@x1MGV)qs10b7qL;OZ(&~$c@cwJe-AfS3*+pz$Zm{1;zUlzviekZm0ePq)*^$t=
zfl_FLblWf*0~qiQNdJ(%wT^7p)#B^+#dJ~NmlMn}hLPmGOb4%8Jm;@Juq4?KDe3-S
zA|*ax?&6TDXJa`amwp4hOQU!Sx3T(mGB$eGJ)|m%xa)YE#x#ff;WYs~8m1Q7)xzl)
z0gIMHT%eCFd%$MXozt$W;qAYk<(8*;NW}t|u}$Bn&9q4J(dOG#<wck~17Wd&zHMr0
z&(;6w&=A4_RLNiS%h?qsohv1oy?46{=)aZ>1GXJrk#v9TQolQW(7hHwka3dtJ%?`y
zX!YyPhcio0yalHZMnpgWkORuayNGC4B=}aB7}L|^URZzm1hM-8@Bx<}B>#ig29mtr
z-pZ?<@az3_aHKY_0wu4yp=A(693&y9u$Ip`^iHRJ>*%{koyz?=fe*d|gXwIBe-|cn
z)tN65UfTW$xUEmDHEtX3CBpJ{eKVmLYvQ;Ah5}k)Z4H+<?|joILhvS6BtLO)4)Oll
z{F5ep=z;PFU-MmkbM@V!eXOkA%;oB}3!MPuX0S+0iy?lp?IHfO4}3*--}`mp{|pci
zMim*5CJ&&JmiNt(VRYPui2eAL#dx{KctxxBF;B4rk5U#(iiGif1}EVPl0?SOZkp0P
zGU(I%HSLW~YR}*N{C5D(IR=6Np4B1<peZ7NABTt@Rj19aPPtR2UQn~k96`xkzW-8E
zY*l$lqDr}Y!Y!s=C&tA}-E)=EzchWlPZLyG@f~1^UfBY0ZzfR8LRO~>Cp`JxJIM+r
zf_-8R?{;xAcZ*}?KRFjd@spmKOuIW5iC{OlR0ln*W;8ohxTzokGGnis$ThQK%lo9c
zFMamjGz4bgcgWN_UOHUn+Cx=6W!1Qhdp=WoO|bvW_}XapoQtjcYMCT?_i+Bw*L}N)
zoC%C_>+?OIKpqVMWco{H)hgj*9Ff2*Q`HGHG_MOVms*md+ZfVcxOrx5n`mnDk}I<R
z_>y5vB|{$6hiZt$jm=C`#UYj2zDog<dy&Wk*>Kbd3Q!~hOb5oX^;A!q;Yriy^UE?u
z`!98uFl|1<{#G3`5g`o7#0y$~o}^2SUG@6$to(bzrwX3MoPWk<cja;DM%I$BYWd@0
z0zN%@aJ=FZy3mNq$;->jkiNV&V-T{Q8=p<sgza+Pwe{oU==(-~yc&FF({i|r>2C3U
z@L=^*wL`xx-qh~HcZ}tUo8Pqb)y{ReM+DNU45V3YYJvCs#2LvFLb2TsNI4HqG#KMg
zg*bkFB>$)x-9h&@$fC9ys)`9-5l)KYqxcWX)tyvMJGvxC|CzdC%jQ4ln7Zb(-;ru4
z)Vc2YRWgnF>o?^cq$YF+<4y!_mv6t1{m|!I)}PiWiqtC5LTZ7l-e4chkGPmIo-G-2
z>1vgbp>^8BVh=|-*;=Qm_iXB6hbHb8cU$DNN=)WWiutsirR@3jJ@3PB$EB>SMc>44
z?u!V;10pm>&!ZKob6+!LPMR@7urVw5UIZq5qn?fl48I}LFNV8KcC{+t1}j$F+cQq_
z@!D{@Uc<0a6Bv-q>-^&f5gH_i(q#tr4=9`a<OvN^==QrY{V1<5LfQSF_MKzc+xBfd
z-{7D+(5x;OxTuD*nGlg2r9JgCcm1U3EfdX$XAL+!A%VhjH&5s{(t@caeA8ABy%A@&
zIAv0f1L<z;c$QIWIHJhA=MvhoqtmO*{%pL<KsHt=PO(FH{*5JlzcSilJ`Dk?Cew~8
zsQ0DzJ3$pFoD43t?DRhHu9u0QW+is!mmWO^HL^YtYn=mwHW2|T?~kICA=5OS5#;i|
z!r`C0`}c<mwzqt*`F5E}V-z4isDd^aF@yH9>+s%4kvpq)(yfmq;}+eM7~9%UcB*Lp
zPZH#Jw-o~Lw%inAM38`sV0&Wj!+<yrkfW@m3{2>Is_t!~v_UR)ZwBs?@Qu9QEv&8#
z4v>?L<;Q<NyTM#QfCl34kPKZ0*P|VBdS)H7x5+<}j(>inp7KzL(AW7I$$QEx7nQ)E
zT6UbAS$OdC_}!|n`7W~^pmrIVb)yqsK1QL%I?I>c$>=iISDWpumuopu!_(@#@AtV9
z|9l!x3rY@Rm=0F)h3D1v0qR1-GVOB#)nnEvIVi8HpstMRtW1lF?*=<i2g&6@gf<eO
ziR=bUqfsK+ge<TpY>9MN4=q~79QRh%u#?O?Er^oH*>8=ap!ZSsnWDv&%b`LAX7ecn
zk%d^hnfrlZ%`;1{G|OWh&EzjXd<Lo}$jEck>HFs<;D<UJ9AwT24rcXm_6dtdUKvFV
zdF*kaX<dsB?HxGFox7?-+N+0}2tE`KP~VJ5;UWYRJh#B@E!#2P?5g!qDk`|x&G8e(
zOX0{h_G;cy@%ilasiK%24t}3>9irPez5Zq)ey2^X`<EOH6c#`KeEFqDBbBA*yDF@r
z#%4%+Z%>eRx$ZF3JiuKJcoa)D?)K&tUp{>C>Na7q!u-DFdiIoc+jNDRUk&rWpKOEk
zo!I!7qcrMYoqrb6!gmMB(6Epl8NDu)cH@W;PJV}C9swYo1647th6oF;VrRknNk+M8
zD)E<t3)zwx;!c(H<9@6zO>sGjxUfzx{|woCrEi3PDaJn}d6dljOTpwq&a$}$6Z_@D
zX=|;%`%f&hEG!q<Iv*f=i%J8)ol|U<R0)v&hdym@Gh;n5p2d}q#l@Fa>2y188Le9d
zzFEM``0N<#T7RYf4-5VM15SeM2+8>8f>tl`x{t0XM(x|tBiQAKcMvym3=T6K5gS7I
zAR6UWefq>wN4f-cM~B;LNs+AHLO0`$)O_fR2hUCI*akNA7eQdB7tsQDtjhX6y)0y}
zqsP4hSG&Pop0H#Buwopy5`is)N!D72CHGbbi^LC73;T5*z%L)@X`BgpMjQg6kI-f7
z|M;EA9ov&Yvhbr(&eZsm(L{#vLJ>i#hodunqf{StZ8qCNIRfA-*Q*1Oo@lgxPEhzs
zo^MKliAN^x)75$_iS-%2lW|>s!6-|0I_KzI9>w4H^N*f|T7><#Riq~(s<8Mz^^JEf
z2SSU9T+GhP5dM*VF{(BQYcNwN$mcy;O5c;mnfI+sxK!6+t6|6+%hplhax82PbS~=8
zOnj+X&Et1icsn4>5WWvT5nLu`V^o!}>Tu3t$4i-)+r8pssYdRgmzuMD>+iR_6}9Ib
z%p2{O^iEl>_pO)7XKhafRBu=F)96PQZR>bd_1w{v4w<ucFJ@Z_4hd!+Op0CYB}HVb
z{x@*Pp2eT3tXVTT;nF@6hc7Vh%^OHfSyO2=Q=&ZwF}-4g^~RGC1Uvfg9jFmQWGt=K
zmxWUMo@U+ACuA9nT@r{t!?@P6SZ_W3*q2Q)r0L3G5bD#;C9bV!&2U)ZCe%XV?aJ1d
z!<I$Yr1`(P-otO&5+_cGb>flQeJG4zNMC)*Ybj>6nk?z-CpPsZZu^(j^05Jr${r^1
z6LYs3hY4)*AMPSZ&C)UIKu4>~7L}cgUaT}O1M}UC;VWT*S<SJ7mm~MA&RO&IEcfIs
zx5`=NPrV$#O0L#s4c#W7yr8y%i+|KuIzZwIZU&tE1>bZEw`t`YVorlaE{F2$R)@X}
z^Zt1Y|6B+B0H0<oaQGM&FSkBb!<WI5Bka0Mj#Wr9Zz(y_m)CI=8^hl0v9y1Kt1$mo
z;J}BCac}Fi=e!R1?ha}=-8Mqivd+J>(7LW1iH!x<7!i;^RKn&G1sLs#?r88Bty{mF
zDHPIXb-Fa3w|Z2#HpX{$hvdyuxo?v;e^VX7YhGM7ME=)b7&jm8cyZ=YuAI<l%Rq|P
zOJTh=zkw&>k5Ayo{v5dX`*-2Jr*x{2=6NGV*0m~=#r2#MA*avpmFk&1N$6{TL2nXq
z|8?4ai0XkbhP0<fg92r(oIj73?H=5&w{i<Hyzg3dwmb-dk~3QREi;}s9QJq*SJn!x
zo?fcW%svCpF!-^4d3V$)W3K3M-+mgNQ!7mM9*(u;Vaek~63ZV4T-HbVUe2fF97#FW
zzu}=ksu48Rp}0ik)?ognSJkN_OL}e-C0};C^p^EJ;$3esMl{tH7rMbwd+!z>6f`n6
zwI3eH8lY=+;aqATGK)FMJa)dIf5Nk0)@`jKTQ1e5e*EmU(9T!AkCoRxm^8O*#qg!(
zu_XkV9i`hFa`L4886;qkn0rZ3B6UyPowHdca|!P`PjOB>=_xuQYQ9hx*F{leJ(tC`
zUNCr)ojik+{{&<=R0V$<q47Hf(7O6cJW^8alk0_!hBM#i!}swl&;LxoVWU&@EIO$1
zvlZ)1_@!QBS;@kA_M6ReZcgnY35I(%uUwQ7LiyZ{2~&V47_Tmwy$n2nbuv#~>+kPo
zw%DI5`TwdsDe|fi39hU`aqJvKC}l_M^;R17WC8L@Ds$_$QJ7(Nn-;6L%XT|F*&?g#
zrfWMw<3n4SvoZ64%$8Tbqw|-8DMB0MHb7IqLpT3OmK;~%dh9^R0cY|5|KmG5CwfC)
z`ak$u9DS26&${2mK@J|stEQ{TzJ0wm2K&-SVm+|lhp~_&M8d*pBpDb_qkbsK(g!~#
zolE>FYs{Oau0X^_y;Rqhpn*jZT!SW(5U-$>QP0>F{SX(R9()1Q_GG=&6O{ws+pS)T
zkl9|=H}@$u7Z(3*!qsn_gG;11o!0+k;6UN(V{yYAhf0@vxfG3kt3QJoOS7hjdfmj9
zD&5xfXTH|#xKa5lw`|LXT*gW#A&3>By)!-NM!OnlTo85hvGl&hZ0*SuljRR$A-WF#
zj$Hp+*Qp%EDfirQv@OFseA+Ey@Dn?BIg%dRMY5qQqHG{K3TI9v9Q8JOVkKUZ>b
z>fz|;DP{>e7l-Qk|5pN_a<6>Cp_ipce*e_B9kmJtV+b4t@>CZL_Vb^eQ=ftmA!CF}
zav!B4lWBYCgw~A%Yk`j;PXFIpBq|YQHm(<VYKFa5;`C&m&!&F*w`2fntTA7|_c%Ia
zOiYj{V$%@kvpTTo@J>CJjo<zIDhPtCOxBrh-9^V2;ynMulVtqlHEVCe@7XFMfH8+E
zq1DWj`qZKb-@|U(2Id=~YZK~{tX-3pV*k%gc*A4dhQ>5`36DwWu431hKC)I81eW)1
zT*koFukL<kDnxKIw|M~rpC%uQ!Xk_$F}GCo5NzKbt;*4&1?!pb_xQZ=5kKDx_OsAy
zjT9&B_|)RIK384eRisIWP5oa^M$|=pC<fq4Eu2&Ejdxa#ibu^`tg6lo#612aVJ7k;
zs!iNN?<e6#qK3fzOI+K{?}|D~0}%Y@Gg+q|ZI9be%_3o@`&}op=<C$S;c(qBG3Top
z-`{hEs?lW)iMxJQh^ZE1HF4@X|3B?ZF`C5azzHs)TYNKSKcb&V*(-Or?AhC~FS5&~
zzP{|u$PM)qNJK0To?%jxEi*U5BQuxvhlno6Z1>tdV*IRqpSyeM$hNwZzs;8ZmwY(d
zop)Khq`!OQ96mxhFlYTEdYUe2#gIoZk}#JJeDiS3it<`_W`Ys2unwBI6{3cgdHW56
zvn4l}$m%0iYe-@$v`a86cCO$?RzFL%dBv?Uw=ie>8TIwi?_Z+B)}qyACG+O}z6_6Q
zpBj4m<12nS3u2J6W&#cgPHgdyHzWw2gy|-Ee_d$Y1t|&sA66I+R88zUS<Dw2?z+<X
zZu+s~%Ce=4O;hLduj0Y;d9vZlPSUq-b-pwIe5v+Y@2xP1>M>qOg$%JRp;ZWSixvQ_
zn${N8{{jjA_)?S>YFK!c`(2`**!RVUtsS{{sv08#?{v6$%+tDPZv<cAh{?NBw~FkM
zpC5;)XsS`CJNlz$NU!=<JBQMe?y%gX??d}L^0>yHP9LSd>fk0n(fy>0vRiEJwVsdb
zjrwEnZo?aW-eU#hWB>X+;S~Gp9O+HLs9+?B-)|I>8sV8b(zy18oJ?*z+P{<gEw*-S
zfc}7ppy>6QMy#lJ_DY{){iGaAYliQ#oRI8z&JbUSE(N>r_?P|I>P?mPn@-(SHQvQv
zTHYrAtWvYQn1w;b<e!ZJ3_;GTCaf`|we0k0ZvC*{O5Q;F`lPaAYWD5h4X@7E>lMxM
z#Y~(WTWCG7g3YkA)#^0tS2zM$_PU8j*R=WqOj0QCZNseqzgG5y4bT8~1lYzXk*QMR
zuA<52;hrVUnVJ4l(sA*O;pl<9j-n@YlwAYa#W&otPgpfy&&u^l-|8xlP;iSb1-&33
z&bN=LS8`6wHn*O&y7O7%-G}Aj)>XrqXUk*WYRRio=E2;IYhR&FxmNOf(8rhR-7C2t
zhj|0!(8rRDFA3F6k?lnSKvH%v4<&78kaysvxLax-m~;gh%t}iltyY`!;kuC0r(a<B
zAGB?!KUd+`Y#BaQ8CaZV7ATj0ppB&?Az{Y_Uy0SSb#|wr5%#ix^ZB>h1^9f{zB_ck
zxH=NyJN$AzXBqp@aFdUS|8){LKy=NC*v>O<f%_1g5}XO>r>FE+7F;H#tBW42ElL)J
zaqy3S&8=4)U(6o(uDPvy#M9_#fJMP6<4*_cd)DjAVz_FS4Tf9--G<YBvzH2gpw5d?
zzHlBus+Dj!NEtIP>=}SFbs_aN0k5Dxwwx0bD*+w;LnH{yqDiwiLSR30G5a+suBWBk
zSj0td7s(QQH{BR7acn8Qas9|rx1P&kr+%((+ST@zeqqXTG26bdfxGwk9@U8dRIFE2
zC}hPuO<J+HF!Q=1uAziW@6UvvdpI6r8hW_wCAn%(GXp^u_nbmUb~Pa7;Ti1I4C#l(
z&N2w+ixIaW+Gyk{QkZI@0KgEBknq-s0mh@a9RiMi*FGL>cA2=o{M6x9rX4j8y4SoZ
z=GGV!JB37PS66U)XKGK4l$-RA=_qbrq7CtDX>MO@Twl%_sFypS$l0fPkNAj6LY)CK
zB=xt`_&ZvmNA~@~bHV;-%`pi{Y$57+x*%cWvBaGAGH`<Oe>guRUR%v#Cb;}2wGrYx
zzC&LJKhz5-V=a;JFJSxpSqHzf>#NWD<vLjR-Aqut=fmUw{B_iq!;M&2eUA*-Q-Qwo
ze2|{wfB?Gdx<KfYi_mX#ob1bS;q6ZkZ6zQXNBuJtW8Ff{eKP!oU490*`F78>Nh)_q
zXES?h6%88KYq-tJ)rZe_b@>i8T}0zvxqp4dQ$TUz4AL2aNrBMir<0Sd-!_~Yp#NI*
zm!Y4-p5zlP%7e$KL)C8Msn`F+6(@E&f5YlM(w%EfeUOsB%Iq7TzqI;7*iAxo)-&~y
zS_(chX*TiA0_yz3%ifZrhd1;YeCY=34AN%~=iqpPB%#<ERsPF+WV<i~>)acXS!x(|
z!Lc?q$*@#xIZg6m_rgP)msp{c;dab;qG20_UE%V9z%!t|^3_tkHx|N;pmrGWB_ci&
zBuW|5)%BKR<5)6-5Uh?Ax14R|&GW*RXO0ai>E9|!!R$c62$i~#n=DOVTMq5iUXNjp
zndnKac5|Hxt(D|is+NsETkBd;&qMjsIMkKZ<!1BA`atzn1=}*daq~gldzHuhGw2-}
zQjC8#@grHZ89kusdUfVG_u_3N@4afHH5k&jhj~Z~ty1-@m2s@}!~6g!kA3|OVSxW^
zDUXN$^o=_|%l)2|cBQDhlrk=qEFC!et%%BP_C`I8O#~~;^i2O*8!sx~-Ju%GRts-U
zY97hF+~FXxceE{?eFMU<V4icO#9<MO{C)dgDRq*kv{6S4iAGJ?uRwJhZYQXQq=_HQ
zqPR3jN(I;%`TAfAA?-eW@_^H3Bj@kiijqg&&~o@(pdL%Eymz=(X#Mogb&<`hzrOPV
zuTeG(|06<;k^?%@-0eH|+e12kS)rMW8%8ojp`Gc-7%LKB^6To`j?PWSv%0a+#+_b!
zPe|<734*^Z9-|6n(*KlCU6BKoAZlarYKuD~J^FTF;0AHcuAO@M#AIjA*J@892lx$_
z`EjQBx)3{EG&3<Ls6egyhr+*4ul+>@9fqq}1~<(oy1xX3UtEBk;x?QTvBBiXnOZ!2
zb-)jt^|4clVDk1O?N8a7RedITw)Zdxky<hli(mC9f85<IR8}%~=kq~+oHV=vLez7o
zbT*LQlwTB5?l=$dGPnjl4nnK)XTWGaOQg^u5kaZBvFq4Ik=UPSjk3Yj+jWSgo}q+h
z2sM4%<RTePu|*{9pMn%Kn2OrohXf+o0=k{b(1MyH)xAijLM;32Uj>cGVbNBo`0!g5
zQ#lexSD#vUiX#m)XrJQuixk(_$3EXKI*xqUA1Mw&3RRKfvQl##n}Ry|^K(FjGtX{v
z{JAp%oo}PxntyJ1alVVXIFL~AbspgxHXVBc+O>2904e3V5NLfaLM8ZU95}lyb`VM*
z{>s1qzAlG*G4us}+*XL%B?V@)97b$UjQgr<yJ_ssf1?1u$q@?_xuldNMT4dW{>4)P
zk?z4(`K~l?<soClP%*<<**2ljhx$6FctF$5;mQh+{sM$Z=isP*Y%=PwK%_g>tJU-t
zTHJB+h5VQc={LE5-_xcB@jiH~ojjiV@$k(CKIXD6q+X2pDKSHh9`&+=QiDqhVz@9^
z@JiclY+%3#3HU`k#YYAYLAnbh&g3}wO$43zyF!A(IY^*~<XEI^E8MRbkOG}y#RKh6
zJZ7#4gP^Fmf=m$V&s8*VO{F6(;V&`;;6<|bKhtu5tZK^!y5y9Adun=n7X-&Rc4Etd
z?@N^tcYYFHWE#kX>qFYbz*_)Cu=}}QFEQs)5RZgGp{rZyCKvh*(?=@TYVkP#2XbaM
zvPUVt>tY|$o5{76fU%<b;ml4-Z{V*;kAXc?T+kOSmoS6cDrfjYpN;O!MjZLOjJRXy
zi5Xa2E|~X;cl4=!W6^&^ymZ)q#ynF}ybhTv4^0hsQVCh2e>b-sPR+6x4;?eV-yq>m
zuSg@N<Xs7t2(wM^Xg4Y8`6w<_jG0{CrN<k{xEO3PulF?r#F?D_c|l!yg7M<5(6lhc
z2F_77Q$68X-M^M?rajkQ)6kOJ?8LX12dpL3LGHBcMua(2D|;CcsVH%v&uDHg4Cz6U
zAK^8!2#3k*P}A#)>@*A?u*FWP?_BtrL8qj_Y7D4P*rRDAdw=zmo76~;fX1*20h8B6
zK&HH4G2rzeVC)jM3l8M}HW>cWTmLfXPB>9V9Ya1Py{)NTD5eLgq7*iz1a?HH1F@^F
z?1bFZ72uyY$u>TsnM;aMR-k!YVp^#GV4TfcB}YBXr%djMxD^l5c15R{S4P!s$6kQv
z9g!-7R(PrwifTB4%$atU>dC5Sqs(D3!_bSpo26;L?@vV=m(g|KJW{JOx7h}TXMheJ
z{lIA5Vc<R@)FhDPyM;FBhBJt6Xq%Tm(Q#ioDj$~Xn!WPpiv^o|8>P70b)S}wp}eqF
zB1Me+`BjX*6`{ff5{_`v_sY>kpu%LK!kKGXm*K1-*%c-I3;I?+`#RmXA_XF^Z3wU>
zzrTT?Vy+VrJoP99NpU)xgw$^%R2~4G28D7GUcai~Hn+3!x8|sXd`gQpjjV&rR75D2
zonH)J%V4rWxke!os?&ocQ(&{Bz;rLJap}>;2@~H&1J8M$uiG+eo1;6|Wl`ReyX@#F
z1)xOCF){zodFrzc4<_l5o+ZfVM-V~cy-pbDX<o6Twb1SgWJ`WXgQ;U|jH3IOEB>X!
z37T^XSL=Q-#KRx)OA%swa`te9*>QzP%*&PiiHv%02A~X4#+YT|3Z#a_&+)|0Ewq6l
z{oZstOO5!J9I^~<Bql`gz)bCEX2LxsAwpJ>00kW0y!=MPoiCN6*XRa9fQNsfM}KV(
z6G(E&fjQ02GO$!tE-DCR&&1gWC@wsX2hgH=@}iI?>ILIDovL=x?5S~@ZNwh#rElgD
zu;|~zZIZ%~@mz<+xjB46ZPXgg03LJcrN_N#M(%MJstkhrcN4bOa90~LBet8&CfrYY
zCQ21R1GPV282hE8qk2#WuSs1BjY%6nI+=4eY6fWwlBd#lhmUhS0B-ZR@Z1t?w>TnL
zBiODFYIHahQtxxC!Il6~|G7tuEXjT2U1g*b_o}dI<Ek^h*S-*&g5$gsRfn)169;mr
zy$BbV)Z$oyP}?@v-5x}*NL%g&cPP;(g_N29$D2LJc&^=oqZ3N)^P*{qD>$GXpg17c
zFwE`-6xY9ob9+ObouWHNZsXvhQ+9&?7AE~V?Y~YN<|N5`OPK_63R9*9NV8l~(C0pS
z@!=b6vy<drs7hUA04*@SSP#a;>4^VLfzYYwEIFOa@Hg9`q?ZL<7`K(AnJA!7UMtBP
zwP+q@1MWCRO-p~oBA91bSD;@t6?~0UIQLXd@)H`g{~<(DT=-<`3{gLkV%V)y_qaqd
z1Np1yWnI<o-Ji~*RWU92D~Cwndg|0cMqGZjz~CK6+VTu!Ddo#?e8i;S0*a})`fdde
z`J??q-a;QDv3MZab2;=8&b`nHD~3jDShV53p=FbJobr+G2aq$V4c)>Tcm4p`j5hd1
z{U7)Jmm~z)52i)*)CVS&lep_-=dP$ca%_O!o<yWMM|0XDgP80Q9btb~VIhHF??CAA
zBEp+0=U;LFfn@1Ge)+TP)a&oRf@i-n(CCX&6j!|=%Zru+^4><u?vYU<Q04||YKNep
z=Fz$Xz}Rc2%(n12w&A*WzB<Z%u3bJoTl_MhXO7hVuhCTLQB=TyK^*8iRxck40^O00
z_Um+(ImDVkR|}d8)>}v&F)5pWz+3dnai{>rO_4up&MH;fS*LT#tz>G-w;jo=tL#QR
zm>{_rxDpxI({7?JrKl*>jZBMoJVq3vj(M9!Xn*i^F)@ytoI=|FF|2x<{FQ|d%n8Wt
z>o5Vq3j{{FT^(N!gpR|+m74REmq8UEWG60Vm1ZH#!n{SD2ac2M6&v?e_GMlA?j4`5
zvf%tLUViB@RF(Y%45I|H!O+WxL0A+Kk-IWwQIY41kpTaGT7++-EA20R1I>9iVSjz%
zZS$gn_QJT+;N_3qbA|TP__hXkDUs~L9_j*NLK_t)C&&mGBiSC7`#NXg0*==t3T%aN
zP!nH5>{`FCbkrWy!HZH2?{2Mm{5;>PgY*{SN)TXYW&Z%^J`q|_h;h!_YU)*NAu1t;
zHHr5JZlxHY2q)k!$<1{o%{#=~(JHrb{!(!4r^;#HpaYj2j=fQM@=vwF9(Db_lXHE)
zW&ykjkZQc1l`|a=ZP<U1hoCbI=yH%*2<JJO*20_Sa?eYr(3EEvo5+(YYRpfGyE!3n
z6f(5|=};x3{=yE|V79D1&WO54e{R|0l26-vrDVUYgppqfJ=!DI=;8KBwI4={h|rML
ziazzQ`VhIwoSL(i7G|q1jBE!j1>QT#5AjjdK_<<XJBOgFyr2%ehkFqcn`K{rZahjB
zM_nKYfwp0%#lZ#kW7{~!Bp@8!`v%j#TgJyvf^DvLRUeyTN6^H4AP5ByT49CP<OZ5m
z6@~qH>8M-C>Y>M3whYu{aE(f*3>`1gcUX2kw{3$4ncHmshF;Nz3IRL2E87YNcZ1>j
z4yvS-&=>I&DND`1TBWw8h>B7{77pPJ-^8N+xbG+h)WHYr&|hZ4Hrk_{-$dUG%pZ+e
zNDl!;Z=cI@C?6Sd=mL7V)%aF5kaj<?#P_Nf5wz#P4OOJOjr{eWHvzOcPSI&yZP9<k
zmydXRn}qQB@{_1V>b(kWOy)2V;bE}Qw7^b6Spn`WFpBTKLO|S$PvI{3v^}T#+?zP_
zbQ_KcD(QA_(|Pvy(#Xet$fJ2)8{2lxY0s(~1Nrqpsh-=JM(Os+u&bk|3V{LlAOxf_
zI)4Bt@ES98J!?*?4Mf=$kvlQrzdP~>H-cFwmR3=2n9DuL!Lfo(1nsaw{^c5no6So(
z*u(%*mtu)LL4<2SAP##|$~P#uSNb3WnJvnzz&S3y$sYDJCpK=>M({G{xu{gsw_2ly
zCjpO+4C=NbAJl&f>Xmdj6*yw&Ap!$;dQ`<(s+|YbD4%ZeW~-CGBInjhvo+N8uZ0;C
zM=h&^Tka1-y{<Z1;p~NupZ2ZV7RXlPVXLmDW)L^L-wE8+eMzfo=U1+g{lj+_A*QV)
zv>E@GYM6f1O|jkg7|yn~No3pHJV`yEjjr4+bCW1Hd|n#x0pJS-pccMK6{;^{5$mS|
zy+VoSg@fKBj*0z{Ez*ws_pYH}>DB0|6Og2P{*&?5a-FIo_3Jl)*Y9r3u6$vanr20_
z9o(iPa24{$pWFu${WE7Iob2wdAdRfb%%IUTZ3tTOA4|AL16}DS^Q}iiX2KuHRYG=`
z=gl)ef9u+Gzas~cJ672R8!ioE$HS;Gc2qE9dRA@q=SPEQ=}EGhv)(F+avMFfg>fE#
z*h9jHqBv0+_WO61$e<Pyr~LS9PLmsac0P8CPgxL*J%Gsw9=B{i294V<QNax9nO~#*
zS1Xat1Ai?KCxdkUce~y^x5`dthZ9sp1IO7`3+22K=wZ`g02P!r!r%1MNR?2~za6|&
zVf3A9LdhS9MEediC<0yuX&a5q4EXQ5V7DG4yq0$Q<_U=U0`$U^5<kEW(#T=%hQ*P0
zZ&~isIwIKv%r{UE^p+L2(8X5(;?-x!HsguO5N<RK=#hRV-JQRcJ%@5n3IflOk+!do
ztfjs$Dr%Q-aHC5ln~_GFtA^W>bt-IBAC-bxQm=AsGy~NHvy2d>xxXra_qmR~mPOLg
zD@coM^!5FRj)}a~u9G4#|AqR>5%<)g@jbocv6z5eflv3$+$L>8P=*pHKV*KCuLi!{
zLxNp?ZE|6o-g%==ei+v)5L%{DzvcU)-fV;$e|FS8)ugvU4<$>zan)Duz8gS>Ym;TL
zfxC2)FBY6iekpY0b)lnNU+&67@Pd8@E-@S1y{&E=CVL?<_W4c;;VVzGl8xi;?>U6|
zYK?nSD{9b%4XZ-%MvfOCf|nHIOJHFRP?%Dm&9W;%Tc}33+}NlY{*ysqUI7f?(a8m?
z4B*sTJHTsn2a?jgQ5rA_@KF$IK5=1;A9AdThc?IIc<QLUAYx{RLpUA1HPsd$;V{2+
zvY)M45_-*TC#=2L=%FGEw+r5{NQX+9`$K!Sh@TPDPm1dgdpB^IkT3}gnMgKfr8^gf
zu7kNi#w^kAu~wRH+6wesgqBuW>MsHgW1T0XV~&s0U(1_;j%#VMyFGWvix!_YX%zVe
z078c|N4|)fPjlq_)qC@Y)Z!*l-+I*3Vd&ku?l3rQcF3*OoL+5yx+kM%80kIOBM+h#
z9j5>-Cgn(5d$;kqb#EkjGQ-s5wxw7d^8XoJ2B_A#ZF(1tu1HQFqJHXfS5oYz99buY
zmPY&w8-j)M<^fWFnU0?a^PvLatk<)b3bE9CJ4~UY;o%9gtybQ77)DmTvQyip7veum
z96?>4r_c&`W&lMe_I<SjLS+O1IbNIc4q8X~fy%ggvz%9`gSV_YctS7984HBU|MP;v
zpDIR^wmi)uep_L{Ir@~h#aUYE;=?(U-ot!J{LiA1(EbvrL(Y?3qzdjBNkpS0Bqyg)
z7*KYm2k|V6l`L$<l`tx%eC@?-uv|H3AFPn;UX1VKtpP9ox7q_@C$_qV>sbM+RiLVD
zV8a`~@#o%<#i77YBhvA%TP=%DK3=b@VK?qQ*<DHIn<dHD91fn}xl=G!lrTaF(zL_-
zVv(c?|3&ol^{gzG*QFz8B#lA2I8psa&XJX&74TcI92u|turH5o<6Z64rx>y?({Ezr
z1uYSSXMzC4!$xDkG#CYt7ar?l7xYt$uktX*LhbFw%Y1(@6bQi7QR*}g@~@SxVFQY;
zBx$5$l(l<xkM-)h_Ft@pPr?K%Fj@?1NC~JZEZI#;oJKK1*_mV*b3x&Nl|X3Mm96V5
zY!!+HAA`k@uR_fh<1+;A8?!iQ+jNNB{0V_Rh|Uy(wU2l1gVqZXP|nqDcL$VsNrrIP
zo8jsI%Q1ohHgpqJF%DU#yoG?oj$$1c<(VHEv)q(ULFm2@=$<H0dls4&mB3Ql9H+^9
zqJXrsYktCKfC5!42WJ7f#=l55qYGQ@W;TnygA7RrS!nX}GG-y*@f&k>+%bcYqkG}%
zO$oE*3IH(fgFZ!eD!2~EAQG4VtcQF7V}?pTJ^jVrY>Ce*yCtsy?zyfa-S4gH7@;k|
zjCdol<4GNq0fYCMGVe3)dTDKeFkA(S(4$Jowuh8J7OcLcj3q>^$_~796FUK|FSsGX
z<k$b4L!R?%u-tj}mbb?#?zB7!mX|^fd*_0F8H`kFy=!IIJskiWgGmQzYeMaiP<hgG
zmbvc8&8&Vnhd6u77TyP<A9?F41PN0_?inB0jWVPuUwU%`nad^f37__;0~u9^iTW47
zCCfNkH+9`UsnlGn&axsFG!SpREP`$QedoYg0hktJ*61n!4D<@~J5S6Lk|FX_XIuSV
z?LJIAc2Dx~ubC+oNcBzUb7p>shUrXh3SgmHt-DXzO_OnN5=peg9F-tLdh&4YW=YLo
zA6ld*t38cq$l&8X_uScuoEO6t#1$A`?-(=ud<Z;}wgy$Wr7MWsH1`mFf|h7rgmVNa
zMeBFq@HlKH`if7RgudBk#`Le%w^KuUYOq2LweX$~D@L{l=7)qEx%BMp<Z7rILY_(_
zJ-lgf6#4dEnASuh2;5m5p*y6x)phW)Z~yng10mu(q6;}Py}V+|Xa|@S_?eO=JE*#A
zW^hXgm{^nHP7RZf#L2W92G#-0@i5dwQPR{X;AI8%-Upa-7x?omv2nyC(Vh`@y9`23
zAd2QC*+`I>!&pe2MhR9n`1mULU6+97FG9u|sDunUC~#Pfv{8~>K5Y#}M|UA(X8#rv
z+)na4eHWuY^G>RK5cGS~Hiwcamtaa$2?+XFM_>R!T$$&*d1wdIt9)<<>gaHUsah~~
zCRn2GaSBTt^WNrXey^WHSx~b1Gv<(;P{QwP>s6h%RrCX&zkLXqcBlsce>jNyi){(q
zcAPTMfv=YJnX-1Cc+8G-3>m(8MFG=?H?7XD2VajLM`*^#Z%q{uR>-!936(t`?7A}}
zP0{jdRfPTfW0k86nv%xnwEjLC;jjad7$}91PBo9|D9WwBWP?)!BEaPOx2DtWVH;uJ
zGWqEUN9BobS6*FUX0#jJ-(o18xIBZ2T`0^PFi=+C3R**}F#JYsjk3e;d@ur|3;9Q#
z{yGgc(p?cGvw%26H6b3nIG$7vR1Gkof^cjsi;7EV=bP;rLDihG$YYED6{3p6b@Jam
z-cHxmy}6lr!CA0!yZ(_}1~M&SudjG+ukd?mn`3|#!Erq)MJO1|g?UBQt9w-QJc0fZ
zuAW<YQ;6*V-9<)U`M#Al^}PjIMu<gijkE=N!^1_2@rG!TI{PRSxCPnJcT@A(&E{B!
z^q+3Zd*P*?Eq0nlmXSBD^7=Bh9)pIVCJmVs7V>_^HCc>9S?MZV?+K4kVd%ipD5``(
zwi<H{?tns2HFnH|teqK&lZMU<o!V+)vKgtU@Q)-i>2YVTDd_Bg>@YmdTAz71IO#3C
zD9A~I5CyFP(w+7=3HHTtAEV{d)|Od1!tK*`z3P@L7C=(Mc&9BkO}6J^RI@SbwMS_a
z^wx3H_5Etu<&=2Xutc8{0`{uV!iJ9qpZfq>0b?LAtXQWEj8jhO0`toHcisH$Mdjb_
zq?F#oxIda-Q_8tCeA;!sAe`s6%mIsM9pk|btnh2{0BxksTs8+F`-(h7vX>gg{Y$da
zWi1E5HNeCv#B8-sWa8vUl6w(_o%V&zI``gV%%6pJ3^qa03fUe+v(+1`tRrHHpoYQT
zHsKI&+H(#d610V0Hi6-6ygATM!Po<XbaInBxhV9wG@Cg(EVJ-}%5JkFh^MVVc{BzI
z+i?<reGMbSH(+^TaES^p1{Ox!r;ln>1*|1sL*V$oR3`k%KqyA+A%%25@#L(9_w5dq
zd?~CweZ}bWA%KO6E0C=8W{%ec@_!u{N^`kUqolB+QN8M~PUOF=NjuF%XADcGX?J6d
zpR`m3LvFKk(O$?@5R<}cR+xzpkYP*@;tDG1ejx>HQ_N2E*ITK7><=eTcDKumFdEKp
zWUof&kh=_9VYJ5OnCP}fO}y%&2U!NZrn##&MVcfSnFi{PaRk|VVa)4$7u4n;iiOX}
zxRoJ2o!h7})<*+o_61GHAu!b+A0cqV>qJccLkbUdvhUcD;VQh|s@^1tsACOH+GrO7
z{p`_$pbh?6ls-t?PN8dgNO?jEIEME3-ko>>0E!VOCGtsRZFu3E%4I-C&Z0fz=Gkn~
znM8HGY1eu7@C>}xYyx`^sw2xHbY*S6Xx*`E=qGe^v91otNjhP(hb}`(jJTa<p~j)m
zrp}w5E26#zUp*%B!(ZksU*W>{NTK{bZ4nZQ$%o3P?W#jgdfA%U@;TM}xGv_k;w^2E
ze~**eNf^x7m2TIS`;1CFD%q0kyO|G<u&}R18<THJ2kX7m(fwKF7IM{u!qYlg5E-41
zSCFwsJK50>Qg2;u$=v<eBALgiRkO;T@`~&~m$gjJ4O7*}&4{kDk2s`xGRDJux*aKb
zLy62{uiqz=&@Rkn7m4>)3D&NtW#?(bM2F04AMP{SB}vR8*T#aIt`W1EY*yD>O|T!c
zu&<Tc!7}q9)2wyvTDn=yi_2fX+<1&%C|n-HDrTQ`s1hi1{&An#GA9vk%&RzxSo&*s
zmqU+>rHNa`H5qJvy(P8Ym$Skn5+_zUf)_|nMkZ%)nWWP57!uS=8S3$l@yvNMG7;9`
zjXHz8VnW7}$KA@R1T0cpevV?%@H<+_dC$4hc@%RSr6*DrhDB{=lm2360=Hlsh)s)L
zSv%w7<i-vpx#iEBB}q9S+-q)yxjMS&W$wIuv9C`yo(OvleSGw%k*FPk7e0Zf#JuA>
z0J9M3QiD@+wS)3|dQkPcSZt#^o?qIhZKXDy6%_Yh{x5Q2@~DHu-R0%w-zRU3op`|4
zq^_(_U3ecuV1EDL+IlzK#D32G;pV=~WAkB$2_uRz=vrXTsncRhNDY$&neD!hjCrT7
z35exq1trG@In3yxiAV0mJWICzu*#5*j78jJ*g8erU}OCHfNH8!vz%7K^ovyIpW?~S
z)w8~!Y8`8ASVf25q_1JQVsZxKLUlDd<R_}s#x5eWj2&rDtu6HS=ylk;TC_+2OPZZ9
z)A(6&a3W3^Kj<B~HWS}!z*3!}lONZVWx8hDGF3st@e<>b-<ea`>bdZ~^=+(WQt-mi
zY)hoe-PVJE0_NETce{?B4ZzpQ)QUKXDVq{PlixZ4RZMVB)Or@w*A%*@HM^9uB^Dr@
za9Qs(5ztZ}Ty3>9XrsVq1dXn0-~840rlN}5zWbE^a%`aPl4qh{5ohn(kb05m^2&7W
zx>x(1_`3qi!N(1Ud)8NbBHcbQ8JjB#1_>J198NBj)17)6$eltm9;-TvJezo%>sF_A
z+3F9^11n!ya!2(kScZQXV<@Vxqzv3+)LocvkNV&i>{lI%nEMNc^oLZ=;QZ}UU${!%
zXn9g;RXEt^7lFMy_dfmcM5KkCR(-8*mKG5<TDDdsEuV`}jk8D%>B7g3brhgRe!%P_
zbY!V{ijm=U<2?GejHX#Z;RD0S$dq5|E19ARrBah<xZ-H~A>3<y!b>tN{OFz3Z>-Q>
z3!0FKWMvn}*H?qbA=CQGu*+=!C7$%bje)?oQbKFRrCkpC^O?sp+aFBJw4}Z{I?xi3
z<D2YMQ@>ev$MF>4fJ4;*1ka)tB@UTo&Fr6TBgn5&YE=oDE^H2`7`UR}oT#dtw=z{3
zIr}Vf#o*h(z(5I=<jO?VyLaz`v2!C#iOu-<0LRhj?Nq044L@QM%&G|!u^B$-wLfk4
zn6hKV_V@^=As6;=+lD!%4hKmX5SlsP_ezs3XR&9wd!E4(H0GQqmBcBt{+jR)nd?UP
zm)Vsg3i9V9x^7RD?65jLQzs+LtC?Z4D$A(z+)?ZUw+qLO;BmM0<;I@b6bF1<R&vi>
z3#-V*Dr3Lr)>WU*pncpUeKnpxKbD8la3fu)QkijxTMGp5;tjTXSKe&r;U*ST-H?>Y
zw@m%QsJfNcVxTz-BQ>TQlEY`iVm1&q#ODNQ6J{s$lXsHO7zpH#*SGfiXp}h9_2C&y
zoMz8*8x0d2GepqB$(qv4WHY1UWQDtI8?DU0y#01G^K1NJ(^*B!%$iExeC`lYyCFU*
z(Say2vyw{=EgrFIyc%f+vyBmR8C}UOv8MrTIvDl!@PWnhhh{BrL|lhkl511MA4o1i
zxvopY!for+)cmo$*I6%yx5K+unzJLulFQ7Q^TV0bebro5*y-}aj|<Y~jHi!T_YQwr
z4C!yu^dFni)OiLib{>ocm|K>Dd;8^&eKo#uEI#wC=agVnW<t`E@%@&J=WP6YarWtB
zCx<P1Z64oR9h)_)u~18SVdJqFQD?fVg~E6^HIk#g%^||twy)n3;m~p<_vl>h)eX7~
z-HI^J&OV=gp0n?nORfvGy6uPJT7;9~eH{ZDr{#{GHEiZCt<)rvW2bYO_hvdp(5`jB
zBXyOgR0c2kTqk{~nvX{&pPu`2qiE?KpYykN%ZzBhAu{Ja!N}nG+*+5hS71pZP9Hy>
zmcyXUkS3Ysa(b%#u$Osv!QxDNfL8nghfZrNt+)Cm{fNQh@}}0$!_JR+nyp55&3zRs
zu!d58F*DtK(Knw)iEs144UEOVe#$Z<h<0grF*+xF$pfQHtXZ9>-oq=LyuJ)ld_6GS
zc`l*<o>d-AIpYx1fhytE*WYeAjbDsQwjZuN4plNvD<X2M+AalM3;R%W(&7a00+L%}
ztA)(7kc>eNze^LQ9TKWYz!8qZ=rN=(do0drRRwT}>4~dYAzffZ>tqAR2_g?!hH!^&
zk<l=l8b=qNoH5@_{U{CmU9#YMQ;h~)r%ImeySr{e1<ga9r+H>tUzH@*SEiK{4XZ_x
z7~amm*QHEiAhW(|VKzWvN=4<?`*?lfabQ8e__#)6QdWh^`150z4Z65KoY^Py1|;L%
z30~?4Q%i!y#-vtCsM0+qCx>;#V)n0(#Ar!5&lWyPVM%by?`d7yE&I(N!gFbe$PvH0
zp@S-ZPC5WTc}N#YR6?l`_+b`jeUWE+To?w1uiNWk^!9#tg&E2_W@ow1S*>JfRrxVa
zB89QQFQ7vP8)B8$zm!SLJ@I078qf%DX|7n!9KkwdUeawFB6prm(hFbxM&-6pWjEY{
zkAp8wxRT$Mq;Q*eaC0b)Qw*(1U0uA|m1^(PQbV+3f87eXVLj=~BA7A1(DsG6^cac~
z<+#lBRZ!-`kA(nC39-`)JHCh4deR?P62@(1ciAm}x7;yxGD}=SMsHQK*T%oBwmKwl
zzT;MMsGK-|s;+U-_L-s4mLjK57Xv2<?e>Xi@Qrt-n?FJh@T|C)AzeVqW%e3Xv&Zs#
zffGrUK5fZj!-^xT?Zezo%O_iY+$%Mw+p`J2fb&=|W|t~98``tdw>&q}CU`jceY;G%
z?{t6ddWB%b<fD$r)e+;K<u}ISW|dT~6P~%i#AQ#4mYP%j^5(m-dUF#WsQAt$#k;N|
zf}OmEPbL0D!L3)ga%|jX99z`%JuBxiJfPM8Nh94TS!8A6Lu+f6?W)FWht;K7FDp<#
z37N_Edcm{e`;MP+U7L<9vK{NpwaQ!g?&Bs}=%y=|Tb*ZMNoLCl;t=mKmg<3tI6l5u
zrE<@qbM3~P9azIIQM>hge8n?NP^GIumk;xF;i$$3hGd-{HQ|)%rA3%bv@|=Zmrgq4
zOVz}zR~w~^{UpHQIEvV&;wXUcD4j?%kXcl;JAYUTbWnE+M|51b-^d~(9ud@Hn&K|(
z2($jgWVPB>>pHi@UL&+_xim8<nIe8=@dskhM>X}E4*SNM673E(OC2Zc2Th^pJcan6
zjhX=&l5g-~`)iJ}@VPBk8lF%<B`#!+c4RAC9KB@)_buF<<+|20?%XfddNO*szR*U!
zDeJ@PtXV34E?MKaVvC2S7hnEJ+T()7YAaVop36TX*k;w1n(FHOtFSLzcRaV6a1{!$
zQu2N6fO1?y_-edQB=uygC*HKkz<LbcTMVT5UO9Zhu1F6bHvB34!4T8pdoris7pe5o
z1*AVqeGd{3SBDBZG{1~_tdTpOdrAA^MmsS~y8_8^aw3en@&tHbbZkF_8LgL*Tqq)0
z1;xe^)4`4h7K(RBtbFyPVrAAd9e>f4>2)n~twOzUYH(5tTRnztZ;Z%VUhY|6i|q%+
zQLV1$GCQRie5|_So=qmVYp5wsZN5~;Ap)a@`}~aE$_>P8bxzY?r#$G1lk-wz<eKHE
z%Tk==f~Vxd0=S_Rjh0_>ZTc@7hugJ`yN;UaE%#@nspjiabbisz6kxV;Bv~=%2J~3N
zir9Mr6vzGU0>&jBGx1?vd>3^&`-9Y!i*HgrYw`kLHT!==@4-4_yC_42StSwBtO2iz
zXNa)6`z{i}g-C`~XLa;Dk;B$qfM6LJ8H+f??0{_~r)ySaS@t1`737a>aH(#q!#i5D
z4z13BlNk|kMeEC<`NwMmkGq#js9bMZso`Ix^`<s^yjF7=*6LYWTAlB4`?O#-+X@a|
zhM^_PhgKzG`=amksdpS&it$b|U|J~TtO_PSNn!^T^p*y9Nxi8bYEG){%ChKSH0(*D
zkeIU@YD(~!pJSg)j6%5zG1z{$#YUk>R)7IMV0r|)%nBmxteky47C!m>ShwTp9i2>`
zNek4NZ&(r-Ta>#}Tc!R}U!qpHq5C9)kOP;Ofu3|^M+gg*Q`|=E4O&%7C#-+XrA#e`
znZxl-S?enu+&JvGQ)_;WV@F5#T)I8>YDdV-vja<YUam>@ZjB>YuLG_*JT@Jrc0IkQ
zvIA}_JxytbF7uOgJkE5-WedMiS}oK~{j5w)><Y-Ko*wJUr%EEh^J?bV-aOcyy@U16
z*RIS_&z^3SoR;iki6xT~ti|WtW6E&EzMDcbvCJq}(i7@4!O^)2^)-IAd982OJr+U|
zevE4eRcbPfR56XbpDTCVC)+vwxUTFt=}dE^MN@VOWpAf3b)g+{IMDLs;4abLf~QO1
z)N25FXjaY5v&3)amSOVB&G_)Slne`L0J4>~&r5e4oJh?QA1s0w4)8BE^cZ+Fk4)==
zhjN@^zx|hMt+shDEG(7>#LPOR-4-EkT<*%aZ>BX`n4=cQQGzXUs?_S9^2rd$h1!1$
zGhs<)Jf%FF3Pty{pnhlAQWgL1SH*n2X=5jupTeLh&P9>d3hmugRH^$7TJYSay^(HB
z;|azCNkug_`jOl4OWcb9+k&0S;{t`BA7M%;Gx~GDIFg-26isab=w>&*gn=KQpULs%
zeD#<X{hZT!b)80TzqP`JiSDuKTFLb?Uqct=C{<i~jp*=trjv5|RMFaS(OM?r>Liq4
znT0K#rP7zf2@lc$lM&_sa-k#yGhV*vNz;IB595(-dy2OXY1f3p%cT0)PS;`US}AGY
zYMA=W<2zCw@#3wkazm?=zApYkc@$%zp6!eP*N0Y@)m=R>tDV4lya-lw{Phq)mgYgc
z@WL%HYYUMr6>*#<rrSD6EqQ4=<4NSL_vC@vw)L`RjTMIYLj4jCtm&u{hlI=0On$^X
zxDltndC(Cb-`SLA<vcGw?pPc0sFcnJzrH$NG+U{+HsuHHp;hNNuXb22)x8>qkX(hE
zNRrv-q@I&PlnzlOQ~Qg`9+zYTQ?r)kTW&li=Hsyi#@1#n>&L^*40%7;=Ng8mzA`>o
z-6ux8d{RtuEeunz>19AF9kN!;Z;D!wz(1-I&Y(l8iu5ibXCTLMr54;C10Y30lX*m?
z!98;22fLn5rNmt3tK-SKV!e+9#}-%mB_+RQwWS-wv*#Y(biE{T7lPA_S8|tz+dW%r
zTZ+bK%y^!ajkSBOYGqq?Ej7H#vmfsk7aPno129jnxb_oLJhbLEH@5wBBB#~LsbhDK
zJg<AY?NEa>4LuEmq3@wAdL8aB8uTPj4pk%$3~{dLU6j%@)QBZ}8O8NgQ%zg8gprw-
zs}xQ8V2>1a0{OuscTb#~T4$*?A+zcDQB#F?D0GZC9W2t{d0C?Wb}hy=%+sBTNJ22^
z;%x_}B(cn!zAcO=&QeDPs7y2_*BH)^b-8sj@h*tlxKa@R6mjz#IEW%cyKh6S5yNDl
zc<Ft}|6x9oO$4?*2sS14-nQ|#qNrzVih0=u1qBI8PedmtCp*?=Q{BX4)Y<$CkjO;O
zHQ4E`(XvHHR`sq|5-AV4iR_%GL7S{U4GeVX^mDka`~o`ru({#;$jQk?Xba-CVmr%x
zy}i9(8uXXTcX=2ba(C|~xysBUDQinjq=0fZdizoK8qI6gkNwR$U16g25?I02%lTu~
zK?0s%#RacEm)b@|OpVz_RJN14p#Muk^bNuxe)|uxp8m?hWccmdw|Rw46WrF<YRhS|
z4bT2WeFm;`TfZPBRbpM@DRY092GcnmZ8}F3?Ug0B=)IZ5KUhxGD><5*gF0o4;_z^P
z2HOfhEjB}mD<)Z}qRt6tPI<HQZD@kMMLO+@;RzvCb$R)UTYLwqO%13koRjj$Xs$9<
zv_<m}wnt1&7O<@ZTk<qkck};Y&l^8!qbEKwTdip1F~znv8&!w69EX@Kb+)33jqgg)
zxn#uyxeP=!b*Epp#?vt}I$#Q2tQH?`L-Eq<Ti6bMthXQzI}ApYzlKE0`P#?q=$l-)
zK+dR!`)moQ&Go6t@-enwu$UdlHU05%G&kzQeM&JgNy(zey1f@KUW^5+x85^T;qQex
zLbiv2A&Y;XaaW#Qx^IR5<87!K2KeOMN}U*SCmI}n<Ep1SzgO1Oj9qhZS8rBwHcK9(
z?%zdkJpVrNSpJv@R$`E4gJ;Ns7}0lX3+Rv1{I!9JM;Hwajqq57KtF+fb;shvj_aYA
z=Jvffe1IsGVh=ri=J9<uoSj!(V~+ng?Cx%Z+`pLc%q}8f@`>OQjdWS+$n-v$Bw@A3
zVp(Dwm;aBjw}6VW-QI^~1f*0%5kX235l~QR5d;HJ5JXBEr5R}$ItBxMC6z`(>F#a|
z97?(e6p$X8q51YGc;27q{MUEZI&1l!aGvMBcU=40*WOQ>Zaf><@2{(e6{L>5$1wTm
z-GAP*2hWc%wln`_d*RjROy_~u+IY+tKc+H?EGj3moBv3dnx;IQ(}5$w-~8vm@XhL1
zh;(0_w<=$rN{kb3+}W1z0?j95sjp&&-S*95wzm{^U#R+l=a85_+Z}@Y?EMnqPeYvO
ztqpvw`_^)o!^wlGw_Y7*!CHMhSRyrACtW>-pgewFCWNVk%D+);wtP{1xs+u1Ms*tD
zH>1?QJd-dX{HDgNgocu&ZkM*hz{N5Li(%mb38UdqWVb!9m1yS8-TSm81Kam?GC20{
zA16FZ*m1}4civ5b67g@Sc#?ydUi_pFI&~8Lf;#My{+Eu+_Xa$q)6}xCet_$;{K=?E
zUwR&ZLlzTGp(00LB%2FAMKw;u&$$@%&TCb9AB&_b(Y{{SmlUq~_u0#E>Mifj@4juZ
zBx~ovsCfUsf1Xt@MnXzT$|J6qLCB(flK{aE@4mZDxm~*-lc@4sG)}DyHG}QCAaNE!
zCamFE(9+U&V~pDB*}fQhtxI=n?OW-H&x%%c1TsBvIezTe(v?h!3)o~&ewD2Cg#x8l
zlUH3*dhMGrL(_)}^IHWC_e>0}M^0T%cV2z+)?YSXjYfdY%^x_#IBwit0O-a;Px-kk
z@o7oD_GHDX&?qj=310y&u2j2EFOIw-c!Fn0H84>3*(LaIa}Ul;gz7j?L@zBZUFYzB
zQqb}>@5Ugtl|MXdKcAX_%OquHp0g{m(b=pLKXXo+TK8`FAa=vYUADzN0fBe5P0;>_
zanA#*-4MjHC6-O&m;R5<z_k%k`kWNPd0{XZ;tGoQadG}v*GAsxP6nSkjFve<_`ce*
zl>SVA$zr<X6VlNW1aI*`094r22Bv~(oVS_MlmH84yzn7coX)5F%11M;KlgMYUTqkP
zE@_=KRnhBi&?B8c;<^$EJtw?-*=x1Ei}NfZeqSNLDD~w3+A%znGa|Pv;Co=n*RNk=
zWG~)N(GeRtMNN)y7_e8Hg=A3atbbQVraK?L<m)jG4@yM*_Cj^<`1IO42eM*G&t@u%
zF!n_^Wg=8hPmkEN_<NO^%b~Ad=Z3@<=>GK5#y1SU3HoEql-Y~XMPs2Yr~dM$xwPun
z?6R-VP^UC!ku&f*uS}QRWP4>md|FCxXL~E>6&<g8w_bIvMcGW@j%jDQdWob+t#Oum
z-dRaMOELSwO1DM|3W^BY<HrRraB-Qb-oM|fd_^}fEG%pw`{BoF!q>2h9{1RIRJm^z
z4%)TdJ-~SF;*}Sk=zYjIBI=$ar>Yt5m6`hGH&Yd~*>rW(^uJW_T753Pa4B1L|A{h(
z+34??W!~7+d(Zrngbd4PdF%GxZSPs3)&*8+KArRXlhcG=z)x=yJg=Sm1~Vd%)oQsz
zZBSi9qgUQCeWtg-Wd^?S(w(mM<*SoYqMYes%>kD9S-AD`kKTvzL2LyAF^6eZUHb1C
z6xIAw%k1)aIVCB&)CBmc7!=TbBgKev$!c~8COqNiN=?i5AwAvV10igRUvTKWNgcDb
zXk_12LC<GIU2eR?e~)d~28C~W>f171K4Q23|7MDPXg$iuJ-MIf>iVU88Qg}SX@BxE
zzrBS$enQN7NgYVnG9}BP1!Kbw;1`$P>(FzIF<r46ze--Zfq#DRBy&*IN>dAEf7=P^
z{8EciOt69uK*X46_w|V#1q4x~Nf0|dB=Bs(D=4$^2h=1F_D_HGecDX5Vp>vl)~~I=
z_)rF}RE_qkslsr(*Pdw#--DogK%PST`rg^@=C^7KG%)L3Z=woHPj>XdXMHUR>B}>e
zB!ox1cf0~X_nj{%;sl!DGbl5zqrqy-XTB}dy#okxQ{?j8B=DkBGorZSk8>s#7rMyg
zv*s4M<KDk#6cz83;vIDIxuA>)EGLD~sO%8F*n8?l7RvS!oMdmomySPPv`8W>*tKSR
z^YC6Y+B?kTg6e$JHu>N?R69&V4pkciLIoB+6x3EJ5|Dh`p>MTi0Kthe<J3)QX%=QS
zUAK)Dv2>NQ_uK00>m%J(zk9d2EKdq3AXs%x21=K6WD2q`<N7Sh%&|!^?h%Hg3_`(7
zqNr(#q?OQumK44lRsH9vO_7A)<QUpJXiWQwqpWUAD<{~KKQ21C^#1+(&yx}o8W(yq
zZKq3(`8OcR{yJQVGZZJb<J``?zi9Ng`Ieu}wiqaF^ZjzBjE(l%>d=!&A55UXry2<l
z)Gsa_ie6WSxn~Efc0SVh<ljj0iOVfT&0O&S8Y#}uIDVa!NtA&AVWRi5)5JbVMBRVQ
z`o%y*UI;r>8quQ&I+t=4zgDqZy-aNOoeg7d2hoITQ+ipOExhOywVpW@(dD~ORXhb)
z9XEA08>p{du<V+q%%oJM)~)qpa!E`~%$zS6Ho8k&Y|LJ#NWxp{RKCQtck&mxVLz}s
zC+6><GV};NJ^lFOPz9K&MSw0<j#9|0vGB|TJXT;CIyw5aetpYk<JgLgJotLy)}1V$
zwuKRyDv!$LPEFYu_^{n2oBSD;1P{dpZHOerB~FV!>9tGk*47v5c?a#lp;-d*F%et3
zm99=tJT`|}k}@CUy!VioZ@LAmjI)jCJ!Tgd7MiMnN%MAH8x6JH9DVcL^C&R@or{!9
zr@|2FL^UnTlg7`7Om4|%R1RIC{bbB8(I}G~8yg$CzCv<fz4uaS6XjYUzbbD7o&GMo
z0(?q_rR?|P{@eVld?no7x9O##?#j#mtkYsUvmnOFDmoEWXx5QB@BC!y+q;jC$-Nwv
zvV4>lEsDQC*IHxV>8jdZ_8lm55IQONxVva#V&a+6dK%^{-i)(M!|Nmm)~5c#6NsCa
zuVZUZXjhrGB`VrbS^r#`XzMx=%+7+gBFh$hej`fo#)WDIy{zJ{Ykb{lwBZFRByUrO
z?Jmq*HjW>qBvY1jU0}I$*{C5b@S&aWn}rPL?5XHCM*fw%fJ!2p<o%O@eanB~-JYjO
zIFbPC5o$BtopUTs$8M@~Mw5UQhXl}cI*#v_H`f+pLWds;G&`90<c?MujFr$^uxxyK
zc~q!!r59P>NQ&!Vw1nX0kCAuf9dsP_{rE^<KM(nH!-*viGFcM)curu<)z{QyY5S1+
z57tbtQo)53Nc+b_66ktQ3jQQozLG6Uc9&$n0-Dx&Di_~I2D#OE8*MaXx)>##^WKeB
zpgVGGrp&85@izkhcEoXK3xCkRA-KL?+K(|jMd_eAnWOyB$HUhiZ%*em%X9PcTBZsV
z6RLvKXcq<3QRzqP?I}uK;^2B8-@kwVkM9>=^v6byyAgH?iXsa~$O_;|lRuj_b0Y#v
zAxhP7J6Mg^9%*2$3<?S=fDV6NuXNdd<{Q_h@?Y!)(g#Q3=_2S7{>xgTJQ?jxPn3s(
zVW${3M?XgkXP&&uBqec!m7AN}eQCUfHz*_|`n_VjJmgY}9s%5uwME4gLb#eOo2`r@
z5P-HuU#ftFPiqW{qe8qp20ol1Xzp~EwY77fIG^Lpp+n7%r$t^gV=`U1to*g{A8h?w
zxpq_0Qw8V?&Goch{u>^hI#So%Y^mRV4=T}IA3|tXBOYnKxm1nbA0uuv^1?_D`GoXf
zrQ2);9%l(*@=}&hAI|!`PWkEpBzaz;)S~$K_>TmF@A<DIOMoLgS72KI3K5t~II>p`
zmX5W@OeI}a9R?_8r@vj<djM)?boU&;Y}%gn?HwR1H5WQJ_i`hfq?=o^Zq+u?AW~>E
zD60HN`U;<*U|}v4!_pZ#bUq6fvmO`auB(r&jm7N9=;-L^W(Xdop%L5}X4xrD0@8q8
z!%$}DmW2DMjpvN)VHP9v6G<_t1NcsQz<B6;<k^DTryF}uq>460&fNUKK<K$(%j8d}
zbl`0GRIDO{qb7XTGbdjU+j)x`9uVc$x4jeN>+@B5FFj5lhkLeAoV>C3AMEAJhX{zD
z$Vcr7gjCJXH5{}#KV0h&A!7S8l4vFAGJs*ZN?CTj?=nyd+K$S!YiDQ_Xmmm0&;aq#
z!UCX{lc#-TX~WExkbukqy2-wx*`W#-yiQWbXUMTzs~;$NeeNhI@V0Z^Shqwpi{blI
z*=0i*xxltJH78$Y+1T28I6UIwB!eq2m=|{G{4y-;sIOW*MMzx@Sn{AWU(e7dtLeDX
zTI-U6k~hW2ccXg$c?jx}#{QLm2L`?CL*p%R&ud(49%mxG@T%z#T0VZtF8JrBimGa-
z(qQh?eYQ0VPU)oRkT-8^)s2jdqTpqZ!PlTRUlE8PEJ$rC+fw5NC*a1+zcAyFmJkhJ
z30m|EOQo^Ud<(x&6U>%XI?2_w>GX|3Hn~+LJ8c@bkV1S@C#@^-s`veoX3eN#;rd9U
zNflXU!1LLH%+j^Jj*JH^8z>x|4i51>=_&KHL6Ij{3y`BWO0IC1b<h{EG)1kZ``nm;
zRD68lk27Xb+;p+m^P${JWPeKN$@ZQCq}t<Kw{G2Fdo?m*&_&GsH8Am+FN1&v6BCoR
z9zRdo8clmBE82BS*J(6(4H_CAhTmc(>7cN_rJf<3Ro=IeB_zl(CI+!&AmoDPO8ipG
ztZVAV1g>nBSpd4u74pp9M>jfw%nz2@dVNjP8o1(|hpah@Vk2yN-hhh*Zgol_bplm;
zUlDHV^b8NG$x&rr%(^Q2G3r2Gio}(IqtP7$bBK<d-a}<L60S!3UDp{RAwppnKb*fz
z`ZvJfC$8LFkX5R=Okj}Ol0R5~ovqs0_HIo%47Z~-JDHXh&01@%W0w1d_I}fnhr#*t
z=dVt^Q4klI^5JWGPyvMFhBF?gZIH_}@W^7e3OB?U!C4b_;b(Kqjsv;GOMKTY5vh_9
z;9JV^&<h{<$s5D(hK85_IUc&ou7-+wd`Yi*U)NP+gU?sL%eiH3p8-z^H~N*neNbx{
zs=d<kl>BI+aEfKRZ*3zfa@d-&JcnzjKmZCH)!BWR12?Ma>Jm{u@^W3G6m?zgQ=B_O
zvzX$h(tr9h2&9H)UEu5LWlA<lyo>q66u`D%$L8C4lDdDVhHQ1cw#2)MUU+wW*<gv$
zm>5go^wNFj#YUm3tLDA@jYAbY+NI@lKVI=xwq$4)(b#LNs;X|Ls-(RhF}?#uw?AOV
z<%atDjS2(P?UT19B_%D%Go4JKDHfMi{NtY+l`F`NwwbN0nbjMxJGdk5C|vG59hBsq
zT5*l~p;|UyZ$M4ynkXgyl@tMBzE0rWf^8vjasuX+uMtM-K0WzO99!+7!%LH4qsf!!
z=_BL3@DEO^pL|kK=(60LgDo!4hhQpcnfR5`TSCPu>WaL>(_lT}xXSg(`;x9TWJC20
z4bz70-ji!J<2RPqoqYGAsjznS(vG0Ry2LokUf|s;s>t4+3y6t{v3fK)&zU>b-2!F!
zhhe3Gd3lse%S_Scb+cezD+OPf3g*iOb=!o>DwIum=aeL${>W4!=|P6{j*~fzQGMo6
z+1nCe!+W(Rv*^AJOZ)P7JiK_1r3*#<3v#z_-;Pl2%Z>Z-=5p3f3x;Fh!O;6xJXiFz
zQstw5{CM<nEHK>p+!G0N;7Qa^c8DEIFQ_QQC-r6GF@%6zG~g82p-bBz5*0P@5yv#C
zOsxx~paw0YNoaD1#Er6AgD&CZ1AD$qmH?FCyY|FAitvwbUq2rZ6r}vP-9S#x2kD>F
zpKB<qlrf(YcMk$}nL77iXr|wtVC}HyGSpo=FP{Bua!yD{n2DdJG&D4<ltpe4?o~h{
zfIEO`87F2pey>!O&qiwr`Re$E^&(aAiJ!!&2!oE6$WmRX<`YrlZ5dDHh#v#MHZWfr
zkg9pm=VmXBQOHUsay5DpB-%MJY^OvWqi%{C;N!j}vg@#Ox$x*Z(b`|0@7>#Plct`B
z83@;fhit^;5BR9&_)^)l)@&H{r85c*g(}hk#{?rs)fD_+y-JJoD%Npd8%2&RS57*0
z=+-wqj56dXdX<*c@w1?BLpL(#z(#M)lLJZhmokb>3)&zg8|u2we_qsBi;tx1F11I#
z4HDdRkP_i?u3FRJd?_&ps9F7F+MqTnYo=q$?`fCLgZ)6DkvpUoeHm|O6-Ny$cDj8r
z+4VD4JH+#y<m088-)R2J%DOLngUAXs!NS6VV_Dxp6*s8waql}qh;fEyqoxVE)}Lv;
zn}BdJ&R<Yj#{_dr*D1OvIvY0pEUDNrs->T_AuxN}RXZD1wF%l)i^o`4s%~Mfz77j}
zKtEaOlv9zOo=$4?#lFWd^hmie=|7hx>GaI=r5buo8o68Vl(|8ExDh{)gJsBS^IC1c
zRId88$G-WW<9pmzbv+PAPEIKLlmGY0B|cHsDP}+OigkHw2wCCL#dlCWq1%*{l+@IA
zaNRk>vZ#Dc>G!C%RE`T5%%fDJbxJpB@RU8lGn5&Z+1c5d4Dc1Q1q&JRWfeQBUl>wz
zxw375IX}vNu46V3Gifpc(=J;j00c7!tS>8v81;Q^Xn1U-tlGbr=BLWf#bCWgBRAO_
zSKlZXLVRD;!ZqF3$OyN38A7GY98QQxC=2Xq)tuRB)PjhEcs@lNpMDNA*kPp3si3}>
z1>n_kbeI|S|Ar{6tt9Q%*$Wj(aB>A9&p;C&psn=d$&m+aGo4QO0f$<MeVrNDN@CR%
zeL>`Mf}iOd-BL4LxkKAsA(CU|Nmm3=)7?96(>b+GA?_TjQzP(k@;E>Jt!~}u9{wWy
z;I!}!ZQN^F9(vV#_rA%-4PdTqen0Gg5K5jbsmjq2XkYnY8XLtr93Ec3{y~S_z!8HN
zr*StjFt8J3NWxmTOLaMm?LfOOCORr=rbkz=$h>bQx$S2_!KG~ahvrlbjZ<nRztVo!
zY}3sXj+gg#0o0w;?T|<DWiaa^&m^GQWpCf6&qUzzQT2JbQ_(tNQf{YM_F~1{dxFCe
z$msv;aGnwZXuz|}A|fIYH7@u0&9*n!X3omLEzapREG!S&S9*<6#Ad`NBKWJk+)1-U
zb+>EKm(CP;f^f5MPgAoT^Ca4jz|Pzzaj1YIl+t0QSD;SKcsb_t=g&+X78eRcP#q9V
zaNmQv^uPE_@Kgzx%cfnUxw(|;x~0ZFXtoY5v&kKhmlS<<d(iAK(-J3*bhF%;q*xkT
z?$Y)63YpcptGp6&(I9Aot*jfDdMiV(acKKan)DZ2hbV^2G^#Zp;UFz`aua`WGNbt-
zGR{8FN~?xJPd=)d>gU^Yqw++wdNBNR%>jGoUQ~-offoS>8n+)>+e6_J@dT#Vl&{J0
z4`%vpPN(H1{L%(k;afb*q?MpBKJ?lWIfsS7KLsDIUf1!MDKu>}s;IK#HXU@|Fn7pU
zpgDJJF4Lv*N}1inLV@aBG%@mX#r&6(DL1?i4UBPHE+_rU6*WA(WrLq(^m_GM<$bCO
z8Td`+W`2Brm9$Y$$#4GQDS4>M;eMs%y7_Ea3}XqzWa*APhqMTbQrWZcwcbiM7d!zP
ztL3Fn<52JV+hhUuyQLfHm}6Olt%e+=x^$f<5@s2KPXXWuLX0#K0DqX~xvYg&2EDP~
z2X2S@x5MA9KXCN*4Dqz|F4rTOUz=2!c|cBW&?S~Z&$h>RoK|PO^7=q?_g_as{el?H
zEarTI6a(;T29MJ0hjzr_uQ??dn;qQJp$scu2kkrBM(9exlt5#7-)K1(UCu1-y2?;7
zb>`x{L4|AFRd5#**LO{!QO_-SI5{WAvj#xJd0m8b?P1S+PQR`@t0|YTikFUMijz6i
z3zW!2`U(~y3$3v>g=<^LirE7!uJ;z*g;EDYd23aKm;}t)SzKplR@Xq8^p*=}>TLg2
z@k3;c+lo30+jiqL?+7rM=)gQd(w{${ru7$+65E>FEgF+@^vf>QXd}3a<=xU^MMPaP
z5i9KukQ|LQQ@ZGsO-30of0$SuLi1^guVM8sgmqeHh(NHiilSyZp9C<;G!2&8r<Isj
zEODh`$`&x(SpiX1r0d*VqHmajbhl^cLyg%pVq=G%4m-MaLG!e%Q*?HDrVpP@vA)ou
zz6f$tQ6z2o*vfX-64}@W3FYxK9uSz=^4D1<uXwNkAaT#wlxQW$E^F_|%Jy}Z3knLV
zE=H%QcjCpbUAtC;*O(fE#_0Y0h4lC=C?d~tkNRTVms+H|7=kDIOZdug^rr$@Y=}C)
zRM)AW+;3}(QL)h2?^PgJy2bZI3CF(vU7U!PpQG#|K3nvK!nS-{efskO^GNehn>|PI
zYy(=zcAcu_+FrQbD+J9r10Xl`yu0CDw3M2XoSe)nYNMT?_T_Oj@l89e0<(@djnR_=
zX8Drb&5zg9)$=rfWlS%rTA;CV82RqavW?Y^?%*f?#PzLI3c=iGGD@ESDMV_R(tcY>
zLCij;)O)Ld8?X7LiqLRftIvx_L}+D|{EXO!k|c&(lw-SPa2Y=Pna5bpQG1ncEiKJC
zqTljs$KZkW^}0Z|qyeCq#z>sqmZzXs=Mq6YF)1!YpgwB-S#}hcr@$2mgxUTW5;&Tf
z4{iyOot}Cbz7{(T)Hs(HD+9dL>8#>>mx1AwdU<*GET~^1asq`-zWDqdOXJDw0^iNv
zu5PM>?u%naPQAr>w$KZjg*RtX<5a$!+uGiky*BJCgmu*EZRx*#UPPp%Q~D=pZ*MM=
zwE)6=d{2^I%1z)6FWQq`W7MFl;JJpA6cmwFEvwhVJ)rVks{8tNBC8{jm@EEklVuii
z^khPP1>*%Ydil(Q{CBQt`%2GMAV<2j>OI^?ga;p0Tv5?^`0(9@8kf{e1@Se5*Tg+o
z9%&j2mD&Ak8hJ){KWJK3EMK!R_rWgbQvQrzTC%Gr@^!X<?d_>e@SEGY1iuMN>(3=6
z);C}JU`(3SFTM0}3!#Fx<0I7JM<!SM^!#6F<Gn7(ZSB=&Mnqot{;Mwk;ZFBp=^F%;
z1-H@D$5+-t<@DTC`@W72_NL$Qtw_cvA{t&%cM34335OZ@$GyPS?cVDQMVA)JhVm3(
zoh-pMA*9eShNW~!r%lkLcSuYz^gL{|2?)vJfq)`(h+{KILZ;D0V_5+=b%uOMmO@1r
zsFCvrQWFvr8Q@!0CmvH`mCBA`aQ;f8p~*#9LW3r~_k~j{!9s$Ag6zJP6#~&jDIUOE
zaT!`u@&rd&+H(~3{a!hO&ff`+!nXdM34M=bK4&W00Y@*j*G^cWw0fMmmDv7=72B=Q
zJlRM<PsE?*zO`P8hE1_7xQ;519l9jB@JH)1-B4r1oUU<KGT;d1ltQ~8l$<tZil$a-
zsIY)s1)kvJd8ZoMA13+`y9=~(aY$-7{l^@FcL)(LA|_^#LwP3LR2t=$5B85PcwYMx
zBkx~GGMi!@6dYU-pl_+GQoE0imUaSn_JLdflLLq4S%8T}PL6+`oDk5hxBi?K%A>tr
z6fsdQU2O`t-f8@_prtgtEz{~FgC4$jJh+)kzASXy-+@@!N*jej`RmODB%xLp{f@Kk
zX(x!MX(2}HD46|?yQ*^#Hk%LDVs<visxa0L(o0u3Yi(B?*C&z&Cx8<dCeIgj0Ll1r
zYG|nT@T7bMf64&NHwY&yCCMwrIQ<NF00hmGtRpp5Fs+K$H~0V6fWiF3%flnzW)ipH
zCyL8vceI3Nl{Jk|vQtAgF$Z8Zh@i+~Z}v6l)10IUd2Y{e@QmYZew#dBztb#mIuYpj
zD+4W!uZMi!jL;PvH56(n0vTqnEWpx%Rv3f06B>&})5y$Y2r2mv>vv9P+WMHq87QS)
zWW;QjFoE8`qD4j{0_Y1~j!@M4pF^rl8jlnr_M-ii<oEOL?c3_I)G<Q1qf&bkf)xs|
zkc#N`zX~2t&p47VKJ<%i+glsn73-5}&Gk7B5u#4FziA9Wraz=SXyaqSM7}C|e(;t}
zyT*R|evQ~CkNb<~*Cn!+wT0{_l?#T|d}iI2V+dlJjg^^`bJm3&Q|mBv5~<>$yJ!#G
z>bnS2BP@heqc11^xeR`*)z{zOPkEyyBv|lFvXYQ+r>-{5oEqoEq^9kG@>2V$UK`yF
zq%M=k2I1o9*D@DjWQxi6)vLY>GovYSm)K3RQ>JqhHjLkCMA5?NS-6nL_9i`=u|hk8
zS?4tMeWFgO#r|~PpBer4TT_spQOLMZalYcw%J(rix_gqYaZ<jRIw;-~5VO+^iYnBD
zRs|np%sys1r~D~wt@8GX&Xzc>jEnx?5(RqOWO8qXt%r{)T(yoQE;Sc$DIuN~2$G0y
z?<K~i6lxScR-a<C6?)tq>tv8g+};B)cruM~t>^Am`}&=`cMqD3i51~>>)F~Ta-TG@
zw<a28YbI|DBeUQWk0DQ{+vQcI^aBT`ZQRUHY)yBhb<r)1xkM_8c&u?*si8WNX{ezf
zPe1-Vv`Z`YaM1v&Z^*~Thm#n$_J+N20$k^((TjqXw@SjYPKF1wZOxZjjh|a#HS?LA
z5PU`rb@zx+T;G~-!*)F{c^7aTQhUjx7cpI)WPan&->(`?djfi(;yv$h3eYC+vWKQT
z<0C-{4r=NGq%JVjxe<cq>rsp!H=J1Qm8;H*ifZyX&W^lMXiC>96wLBi{eGYk6_3SG
z@)YZ-u`a{)qkTk9bk&JXIp9C*<r^k6L0~$j!I_1z7_8J@bTrb{21!-o6TDH=+wfCe
z+DU$8ZV-*yfYzzCJ<N2aT@$fL<GS3ltmL&)Y1x%IAWd+bO^D>o1!+2ylB|qy0$(QK
z-%{Usz6T3bHx;zV#?XIo^JsB5pjbuKy<xMQs^h_lQBqJi_plQrAr+JLU4Gj3N{9De
zedstLcU)FlI=WZ3?B$L~k}Ig`2P-|sF&7}UI^&~Va3v@JO>~TaE~&`p6w5qGme|qG
z(vw|TRf;H<4SB!jO?d=yl~U~yQswZNSCEe<lf~D+u8VMri47D+;YVat8;8USkl&$#
zIY0X=Zj`*)j`SoB&^UzEEU_`fSPHCqbU^K4xiw~zbcj&QxmI0Z$6|Bzr3c85o?X%^
zvd}KwY+c6Zmg$_lefZqI`+k=jUSAuG(Xnk5h{3`Xp=g1N#32OksGfOy3}2^|8w<y1
zsoO!a&ff8O5sDGMCvVmjbWbZ((`j+kpxCCx@2Hv5e4=y0A7hjH4Xx0+Af_9Z-#dgo
z+{OBV1iV!Bw503evxnP+ibQN<I!_F)B1BbLIp|ESkzk-_-kF}9cpW)8IYlikEi~hx
z(*qO{cfda8f;b&Cql(J|CR(nVTi&FHnaibHxu4vEiJ*3+c;4GEvL?Fe%OtvTz{5$k
z?M&<?oiBs8rb?mxqoU#DOu!=8?(0!S@J09V*2HzxR_L^QPp=-eG`oz&GfDb^#|7M2
zkh`efIkl`Ujhjsd&5}T4LxWsM)Y@xy)})f@_peXajtYie!#5_#1QDnF#Kep}Ss2^&
z+@x;~j(cyru{4o~1eRGO^-v`>kVMGgmwENQj_+S;-tR9a?Jf~?p5S|;i4$3$Fh{4d
zR)*J5{a7TSaMpbNAGt>rsF`Y`{&0SOsM0D5!q~ymXsGVCK=oJ`m3KK*ti1dVACc|J
zEmz2S@)MG1h`V)Btm$bg;l%dDzjKLGfQ~4U2t#(H&OzUkLOSe{w$e+O2aQUSg+l#S
zH!{~lkV5Je(F<fZU&FKV<~8<?N0ng@A|-@7rDhv0vPrV?Bj6d|?3@?43arU-N!NGb
zvKqUI6Fo<9)4Rw?<4=p_KP5&3WnD`pKptS&3Yo$;ptU~`+m;pw;)7X+DA&gG5XEfu
z42aLiqN+Eb%ai#nZ74M@bK%pWC(in3Kt6+@v)btWv9f(Y+*T`vy}CD<{l*nU(=mua
z1O<(9c2ty@vh?B|>Ol<%zER8f>HfGNKe*sqLAIqo!T68$@smJ0=6`~h7h7(ZYoxqj
zP}g)li5432Eu}Y6lA54wZGM#DT44vzX8Cx8<m^Rg$YO2y?PW94A_b6z%6_>`tr!kM
ziTV54Y!CGER`;4zaSEKKrXccKz5Y(_<Q|B;1y4~foaRIRcOW=S0fQ&yl0dV%_`Xx2
z0<Wx)icT2${EF^yYuS)LG|B6o*EF2KPCJWbvZAVC8o@q6_28vTmz-$i)`c=$TM0F7
zQPu^E*=r7ZR)GAU4ByEhdwR!{wesHWw!J9qcnj1aSq*1~|GfR~-Bb@FvdR}Q6PG`o
z^Z4lF??2cJ<lbrUl~yT#W;a!Nd3lcvBm)#X3zi-mni92(r4>6GXX6j>%(W{i*h7t8
z{h2`^=<tb)L*JoZ!nM_L(8DVx53dw_p4l2Zp05iEHg_eno2*(0;`wK?(Wu=LyxN=~
z_cH%7&bxP0dlr6#E8Dc~Y$Ka(B)=)mJqc}l3_&zlxwF0Dud0x?Rtl0;-VQmw4J`E6
zMCCEzM<Iaz6C;4^<O>cCw%*Ph?=6_3<gHk0HS=(aC+Hi*e;-ekCG)DOKeTDY{Mx-d
z+lYaS2655(Wpm>}!e9QKlamwqs|Y}K%4+Wwi4w^qk8TXG&it*DfWH<^R_EtvY@+Re
z;Y>0x8x6l(1x@q=Q;hYR(x?GVF^E3}MpJ3(O~4n4Fk=t!#3F8i%5F8k-;!ywqcue-
zX`(*l!iIO%)mFF)^d!PUSF<0xGih5h)eEi7&L;n~BUYuJ6hlgGK@w##WvKu!Ci7C$
zK!PC#9A?*QZ%&%U<R8d-{S-`moC`ADkLE(>HH*6}0peCDpuFkV98N!OeHXQicD~M$
z4TSU4NQ+X_T<r@|AgLKBcUnAAHW|mf7l|QEdvV@VRz9Zk;6buq<MKua)ZQ91<w9Wk
zxCPmmhwj{=pFpQoF3s#TvSSM6+ONu%ZLl1a6z)qTbXpfL@$zP6Rizo!R{TN|rw$Sk
zn^6?InOnQ;Ae#=%?gws{ilD`?iuB|ymM59-p|4gWu#9dSUi;l<iW|MRcc}^q1CTJ&
zg)cTGe>@Y5z>lz;UhnSMg#3lgP2-ugu9UF0w)Tm_D<~@~hc8Os{kOPi_0~|ySoG8b
zMa7ot7;lPnXuofu*6aD+oRxG+s$BaS**3D;>dXK`9Wd1B{rnJ9sRG;J#U3yyMphCz
zO1VhE3~dVw9J@P@a3@58BsyN5P2OuxX9!lnLH7G)6vC)!5TF323iG2pVwC|sodG%f
zk&Gxw*UC~bEucgIB!vZj*En;<Z?~*I!bZ(>iOn!}&$#|n+d~@Y(fZJslny76Ccz<X
z{8_oMfEDQNHGQL?QZ|o9^_nUHicwF~T`vajTZz}Ca|9-&=xa`KTdFQ6QSyPTs_pe7
z#5fhT?*a(;GSTlR^!@4Wx=4U=8RuSlb`k8IQ10aC=c}Xq{zx>eV*ed2si~k5N%@@1
z{xr3x=jIJJDD#$u)Jyn*O>Ms8gelczJ$34xmOEz&26OJtojdYe+}ud>U+j{^&@Ub7
z{sV{J9&<d%q0<8wwNuAyJt%g``xq~U&xuR#yT)QXwmHha9H*mGBcv+vH__2LCTdab
z1bO9CSv@#1vHV_nfVJlw6}%F70;|#9AoO~ZKWPDSl@HD08;>hhD|;Xw13}GcEH8m8
zQ){}q*w79`5?V2!%CH6w72joKENz={pMr?E{Or)LD1`6bI)<AE-Hi*W2@B*XVp|S^
z{Np>9a6p{hN735+z5D5fkYw5y@I*p}<cyW&aA$_5^z(d02HRjy#u(-E_!kK~>}P8j
z90*Tip>{B+=`^UNyu7@^K=4U9&FIA#$UHaiiduP6dYz56s@n1)UTmosnRVgya`pW=
z2NNk-Zn$_)C!)2(oc4#9uR0cX(t=LSIZ-vbYKfrFDPU|~se>TuKFeFhmGK_gmC1Wv
zvv67<>T+UkKh{I(3BTGou4~r@TREv0V#2u2oEXrW;o)Y-ceWJ)V_O6y!%|X|r~{9^
zI{rzgb{hT#ql5WGG=)ZO$_X?z<!_sqd5epa_LtIhTY(OTN_WqJr1sCf;~r-T69*&W
zFBf859;I%UU2k}q63;qx2$ER;C50uL-K6#ZDvS3KMUsFF(%x^{uS+?uSO0ZPLLeTw
z02QD<kWz!gQ(09w4$&>DAkP@*Dx*%vBhZhx0(sYtAq=x~BMnHFI%l>Hn|yQUdA&1k
zRXFXK^F<-VsP!|QuIr!|31#KC^Fu$VXdQDvgXFJumAJ2rr;JA+AS!)F-{rIN3(#oy
zR~CX}ps@EBSTcWpEt=pOy@t-}0}Iq^qbp8kMaJ!Xooq{LCOD-_)Q;BuBXf!SBwev@
z)uf*7`rtNjfs3=(xe!M##BOs8LU-*7P{J98kpEIQo12dV|9@9sU;ou8i?>Y#zv*i>
z=@lb~sZR4*n9HBjzp1Zs(4A2DkGzP}9Ptn+RJu)A@?mTVvBtQYfY=IX1N1xU%{09`
zrr6fPzc83ATfDmpnU9(Q&0Dp3e^F+Bb#;{~6(*v2YW-DH^{1<#bUvHA-@a{ndiv}_
zR5{4)@@zpEq6;zYTXOAv=}z4d<Vam$nJ*@y(ZOY>(eKS~X7k<A-)O|!BGHt9HeNi2
zTRiQuO)vI4(FUG|L=oS>4|@Km)u8?As{#<VA2ri!zXtM^`#wDC`6h}{1a7iVL1Z-O
zFfeMJpFv|gsBh;>w|L+ngB^PF$?y}KerfK(RRf{J%Mn9jEM(V?NDQf=ZJR`l`?D;4
zbd|+nu|U1gs~)w}_hU@u)%S1UXRB0=7B6x0tv3n{`UDA#pW*JhM-Z-9y{QKM&$XL=
zMPh1c&4j+&#`09rdoEq3Q*_^sMA%%NO0;bja|jtID~EQX2JZJz!&8Oo8RV<J4VKFA
zBtzo29IRy~D-oCUrJgT3OZk_dm7tF4G76gC#mW-)fWA_Za|~!Q+OUfculK?lxmqS@
z1KFh!6FS8P(yv;EzxbAIKsly;L3Cd1;n*Qs)s3T=g<nczLZ}*<rF)qx`#td9%Ckah
ziE1$fL56XfV?~hgdYbz?7|iUM%%O<9OFSzwuR!Z|eIL4);;ntB`e7W%e@?IY-%2??
znafyAmmUih`=HmFHGIN-w(byaM~o-uxaG(-@y8jTN3|v|qao^qV&qqvdpgW}K5LLH
zEj;ryCjM>UXsirSDBHKUx7rJhHQ|X56Zg_(+9p-Qb60@cFGF;CvSQOaSOC?|zU;FK
z<g9lU=<w`YTU(7(NYr{11?*X4Ib(5rC3yEHHGGVb<SY8rOhPE^uRs3%++G+ggo4AE
zk}a5ZNS<izmPZt!`B&r)?0p>Q+=k6W{z-<Qmq*Y?2whtrk24kz$kON>>#py(qy=L`
zaI}6*MK3kAJ(z-ZsgG^QasUFLwu+F57jJv8KMKXs$^vL($PvA{xj7C(N?q=lqA8{r
zr40wr{IWxjQOl+EHb=%Z92<t9<CfLZGT*sk=UN5eXjoc*W+2kC^6R0I&bo8jcVh`s
zvTIN)u64Y2gdrf6T@cmV|6*bG#l~o)v8FjS+h#8eDVP>eCtKFKA6XsgPMJ5Tbw$6g
zq4=@bF@>ys^MVSJ#V<I_$PNOkxWp$-tkhS~pvgMp%Ph9;!9J8(q?oo)pAkpn6T&O1
z!!N|83D4>Qt2>T@p4S-*+!~9@&YXpvZ{z|Y6U&b9K0bV6W}6V_ekNMCsDT&Cp=I0>
zb4aCrZZ#zzk*L;2Om$@`1Tkx3Z)KSUjZV(;0$bboX7&b67=F>=(W6IAPz6=0`o-@Q
z0^pO}D#xvCmrYr`D}odvVXzB9*oJxZgJ7CyZl+Xik-}@$?4LRDFa$vs``8%I<C;21
zJWpb~l6-Ra?NTXWFR%8KF0z|1s$uB&k+d(va?ytmAM)~_r=#KmbWIv7K<ph-w?j1m
z46^b&FD5K#K->5(UtX`jBom6%PHTk-#7losPvYg~$9~5O8;h@i(eIb3={Sw@nmI`F
zxrON4%Kp+eLS#FHmT`wSem?9McNdPgx>Um1+4(ypg@ZeBfy)s$Y@dPqGO+(H9<xvX
z&ecVi)q-xZ(h&O~5|k@9-QO9TnN2e2da9f$zW8O1OnE?mQg|T7-=;8)u5v?*WZs&k
zFX4{ZE}j|!g`}7VSNtj1!3#g*-$mI^D1|WutU6C9PSWJ9L1QplkGHw4$zyNe3gV%|
zQ%ptNRgX`81Drbx5{AXDw65Vqf|yS}h>2qMHJi<W+f`f4fm4=Oa~GqNP>f4LQh?WC
zSmkQlWc$N|c7txR{(pBBC8|XbToM>LaO)5F`-9UuMpCaXqsWN)UhuNB8#)rI4zJbe
zFwV){VhkODKr>4!<uPMntV@=7#G~Ypiln{9KyX~V;5H1RS7sRv=`=3boWXq{sM}u<
zr!ZxPt8KYKlRpfk`Ed%%{6*!JKO>OqFsj}`2~+ynOFec&(F`$+ZT1ZphT~)4I_P(w
z*vALNSbw^Kdr%bQBCchD;pURTYJ*(k3i8C0hAUSvr>K)XDY6MOZSTBh5E&l_?I*=U
zSSt&R_CMI_ko+|gNywjY@KN~9lmMehiCJt#Ei~BABp5vddI8H>mecqTh+D!xZ?IDM
zuw1KbgAO>Z)9kvRb7Q!$^^Y)6&j*_Xr$ldqy4Q%%Abq`g%jD7W5<`|gj3->t@#AFt
z2HF-i;(W3BPe+*u?^gvBS+U?wz&)Lh=pr&lRZruJyrdB0Uf#uz4CB)qLD>JQ)jStT
z%#P-dz*d2V1_S)%F@*vS=Q?@U=rAeL-)y$TO|tAoottvDj-(=%*z#iq`s$!b9~Gz~
z2p5v(mbh{?x5lpRh-eVM&p$?hob<p~Vp=fx&`Q80pKTg&6dq2M`MJ5d$6;EotQC(<
zxfaT+i;Y#w($P<nk6Lfm0Bv<36FK+WEAs2lJfjd-r)Jvoi+G|<Yh7|lnP+Q6|5btQ
zRpzOl6xDgocN-U`bySs};%koUaa8J2DqY(xnA=rB5Zp^)Q;|p*$l?i+t3p4bnJ$Rd
z#`8~jy|xCqZ?x0+w|9&AT%l{-Fig;YOJmJ>0&3})jL@uw&Me(){6a!PUy`+i7ubul
zoA#}hZm&-b_LbNsQJgP`iwXXIg3|mnwHZ<L^1I_g7XHS)FQwAa91#I~EuuZs0SkC=
zBzvPy6Ql^^N}UAIIDIev(C!P7JqMje&Ao)C7!rf7idXsPUcY(MWjY$j%!mdqZ6Ho<
z5$1H(&EQ`WwY?a5d*sohNAs2@L-k&(5>PFzv*Cw8A&dUvCKw|KF9Tsd`RM3q<L2@y
zF0M%vP&|vzf=a(0=#$biD%G;+p$fAT<x83Snw^asFEsP-EY>iL4?a`=AE%pM4cnA1
z=jP?P#KX|XWf$LY8{+wJ#rHl@KveXk+}@)AK-pR2f;xA<mi*U%A`b{G7oYm1K7|Ii
zvDs*#MOF3O_m3VNi`F6XjibZ0{yQ=pgBR04;ql6s0)&Vb0gB=GM$?ARxGas&&q1^J
zxXC~oO}<(`>|ODY3%@-24-DrFRssJw0i!N)K7Qn?`Y&F-{NCMv@9x=|r*}P#-MYsW
zOu~$N$<I`s%_iNxQ$zXRZxh>zAQtb42%um*9g8!h^|>RFdgJU<i{JQ%x(4c+TXQ1^
zY{zM+J9H<zN~^fMspxZ0h0Q48=Mmg$ndQ@~LBoRrCg1e52{C#;r4u{gG#0hPp*D^a
zRMXPxS0~wckR~FW05>vo2neD|MKioh3<ej#q7Z#`ZIaM7Ab7<5@^vP>E40H7*p+8z
z9dbWCL<{EA6n;C}wAZ$VA^CrF1t2md0~SYPtfSr#x4SWdG@k(Xp01->!zL(qO<h=_
z+Va~!i>0^y`_E>(ZJ-*56^Dn1J(A61!}_j%=oy6e_qiU-Hljj2->hS@%6ZLbLD@61
zVMaAB7f`uqSF+r>1*kpO<UB;jJ3!^L0or))uZLU?4?-`!XM6p$&c;^4o97^%nM-$Q
z@>!HyyhfLf-qx1+ds-6sk!cz-qah`NiV+br9l<%-aukNKlL*quE5|k5j(##$@mu)q
z8aD|O&Vd4hr|4&x9Qx-sUcY`Vui-0T+WM5uw!q3OVEfyR!^`Ig6AfyFaXchbdD0|A
zAE)O!qFf4IZmqtUr(C+Yj<2n%PAV?aqITmKH?HlhHT%K}j&>$#zzDaK*JVV>gjFB{
zE*d=t2etjc;P{@L^Ix91i-0``5FPttysU{i(F&;M6U(OL$u8=GpT>{)Y;@CoO6m}t
z*!}-dmk?|P*MGo#grF|eb`A#h;@7FAg|B&P5`L8B-(tV$L%opo-Oq{Ce)H`Blneq=
zqrjs!H8nQ+UgDzrXA?%=>@)$44yJ-^V;vMwJEouiq2=o>G<V@YX5L1Mu%H`KpDm{!
z2}k{Sn@t*Ra-CxLns*<TkW#46qbDU@QH3=)LzLP5P<k{>Xy(MlhttPW{r(>Z0#ws6
zXmt1{E$TQow8SRuXV-<4+4eqG<KiqKI0jORtQehO8@XwPl$4a(B}`Z&0ItEaak;d#
zv<HD-v5HVExi{(o5MYP9j0h{}zPUPkqvPxh>kx`yvQd%{nwt+Ihvu2f|Ly{V5nMk-
z-B8Ve;-&md)%sk4H4J}Q(pB8heJ`!nxb*KYB$t^}O7g$9?f72jSxZX`2^5OeC}_s_
za9o7NZXuve%~&!EV$*XNAJzPN5?W(8P?|i7Ll!>nX~iZ}fuL(hj_@dN>74D~??Vo~
zJRAS71A?0J*Ok3H#yZCt)SFK$M}!;Io4hZydzPQB!}<;qLRpV1Uu>!*Sif+OO2#`$
zH$@m)@(?^{dwqpql`9|^aEJ+z^vbM;wFIK$#{(MT<InVYaSs3ZF)4F#NU+CE(ZN_u
zM6k$Lv8oQ3ePe=;bh>^!sZZ1?@jr&V;lbWf-$N_3Hpz*En?CIoY0eZ>(av@0nIkYy
zD(2lP0?VvJYMw4Vyp%6@t?r&I6liATCrm?)4Gll@s^^|j@q35NhMHG-O`gyXAg#k$
zaD?aFt8oMU`H9DgkCzDw%~@5CW~43Rk$Le)ZSZrC%W9D&_i4(D+Riy<#l`{{w0#?N
z9fta^PJR3!A16qeP1;L!XHRp#cYyE+5*J9wT;YpZp`udoSeKL}rGKa3xu@X3(P3Y{
z9lVa}K3NXM#*uf(9C;@Db{sS?D)@rTof9%Zfxv((?*hi)s%WhyOv`QoSyrloIiy28
zJ3$fn5@xa-JH5MNI%kgP9n7x{)Ywh$zdK^Tp?Mkney(QF`Um#v3Pv8M-rr%TS`*QN
zWjGW^Ug*i_;4GEhm#ppq&F0Ru;RkEEJog?vFfkgdxY3F1ti0~`eIP4pLss6@)D+p1
z(UN=utcUt6SkFVRBy~*~AT=M2zx>~6qZ&m-yBY-A>>ErjNaInJ+KEh++NEA~Ui(wA
z?2t(8S!{Wc<bivIp);Ygn{)$fjo|9O<0mRMQ~Zg#{I<Nj4vUx3)vl)zSp-4&P=%m*
zZ#P3Z$6~PgQ%Gs_JDr-A3H=agpBws4o*vvl*#2y|9X!nYru<5)EN_LK0;HUGN?&U8
zu$+97*UZ?e8DQi-^M6F%>)h2i!*|Px1w&8>)Y_jh$!`Lf?}C|CcIoMOO(7FpYSgR3
zvb-1a@}Spf+vzG?Dzs1)^GGw_WIjigWAw@REdUUA3l<=O6!F94fD*SZ_ZE!gY+mQ~
zw=+k>#9{(89nYA-`~zVI33XtWiQi0V)N-)0B5)IAAyleQL!GwQ#%2kP5{azK1nt5p
za;)ZL(ENP514izfe=k`!X{VGw^1sT0edsx|<RK2))%eO(ui(cMGO#7$V@IY*<vwmr
zu0$H*O|n(orGmvcZG6sv==$1(;O)JrECv4Y;l*rWB0(NG-Dg=9mE184V;&`;I-tvZ
zxn(>5<1=MJCdYsdTDuIDG9(<Ag#rC-RdsSe@MciZF(uI#Ftc#3=1xV>t$pZkWOM0<
zefcto)jS0*7FV|K-S6(N5j=xfHdbS(t@&;@?PffelKmQin<qvxw!f0-5KBbdM>2h?
z-NJ1B*4}y+5y-QZ&F7EpK;C4o4E2p_Rt*pj%?p_>&dY&GyaADs$l@s-W##skPoF;B
z*@{RXB}6&pIqdh3-sIRkDOpqE4?NX*;?qhJ2jnQSNh6-VKd~Fg{uT3v?h)x`zosb6
z6ZKR$7|ts0Enj}1Or`IamVM}MO~7x@N<KxcJuGH<giJ=lFG=(Uk56l<@Rcj2dN34u
z&1CeAMU{l4BsyhCtV|Qvp3-)N&;B?q?dM2NX?kEO`~WzPHIRt4(CHm)$Dg9xt(^bm
zvR1D=DO@qXwtVb+LqV3_`_l5M=K1lYG7>~Zs2e&R$1GN{*Z&lQTU)ZL<GYY;SRaCO
zeg>MsAbL8wB(<kkBT4)iMQB2XDqxXO{o^@i(b=A>W6Itz+3DDMKr?K8h6aL#>}%(L
z{qkPt&X|mtVb!4Bg|?coGC-Bd+)O#dm3W#u+lIG~Dc?+bCuMI~eVQQkbZ>i+uDIRR
z7Vf-1v})DLAd~qX^#asnA8E?f?5Soi#hrp;9|)hPH!BrlKj1&Sx;DCM*5%`GTtPQ0
zVd?i$;9KM(Ci#Cn2RB+lH6JD@-``RfC2r`iPxWCkS3IzLYr>kWojn6_4i?mPfD1U!
zpPx?b>LP5HNDEbn-a-KD_Poa0=55Zy0Bu&WH+u2<(7P*b4h3%7=CK89@e#*H^P&O4
zSrExKE=+zKm6@ltIB~MsS*U@=ZHYXabp6aK&^`aM*I!oRs1(bUY?|16Nr430BY=T^
z`ggNhK19;={RCz)q70XCZTwPu-S2b`!L_tT0L#D?M;=lQh_g!_QLu#g?B~ZIfXPD(
z)!1a1SI`ve6)#2;e-lVC7v0Vbg--&OaBLcGMX2iNFfUG>)M1Tfo2%Y`cr&@u{+|F^
z1ccjD5{cw}#1L-d;!ppNaNB~=Kr0l?@JqTD(2h8#AtrS~29t~ojEq+9<5_CrR7p5t
ztqi=Crwd_XzQT4aEZP`E^<7hPggy-L%^5dgHOmSmDB(KzQU%VQO{`9q^IRL1>H<{j
z@A84{r7JPxnd&^O<QqvfDhT@rU!MC{p4&Sy$2$@vR}77f@!2j#xo}DaX5QBn(3eg~
zQ#6EKV!JU=|7*R9G%7%Tx0IH+2eFir0%@R9YTV2`FjN73L_?{N7kpCOXs74WKQK5)
z`;Q%cKw<x|D!5xl#;T_cnADyxlPqQ*Qg3zIl+Y92v)|o6ktG4_|K6TtUIv}17;SsS
zJ=Kh`E@bYp=D=Z>u$Y*vljU8R+M*EsF1~_(9~eyy1(r|A^7?hJhdUptrQVRS#-6Iq
z)7k&rKpNu46&sE5WB+9rtkjo@K*ompuFp{!5ZFfj=YJsKiO3<+sWl|qJb%%+>8-Lz
zMCLQ*T7fRD#S9&Br<x-dZO><fvzAFX8z<^OU+iWGlA6qaU-SB0ahur?A{~wHvu6ME
zm+hS{D-=Dn)k$AYOJh5GsysZJfi2ZR`QBwpN}E*Ctwc?yM*hpKPs>6TUl(E7C%pmE
z;YnO6hv?umJ-^94znOzd@7{Ta4+-;0qMje@I7ev9vfqB*90Fshxr;gnMX{%cl)>iY
zqv+QY*sB?SNh1Ds307(+0wG9Vc=DYWZklGU1C|77zyH;7`{gn>6Zh5rl=@lTCpZa^
zd5UxvU=>I~&3ik!UhA96%4r>mii|v||Nia7X#lM$$i(dalf<*(==W5JL(~A{J#WWS
zhJe9euvR?r-*^0i49-0i@CDlm=?T@DPeP|pv(lgWb7GzuP;B&I=$(R@t~%Zma-5BS
zBaiX9N^9)X-4KXQO#-$@g-z6@9CEKP-!c?VpX99Gg{Pi_exc;?A$1l5z0@LYPl0c!
z`&@h5QvPLTSJ|j{=e)tZoAoYH|M~CGvA~4V**%&S3<wUU<&};{b)Nh#GWPak6Vwip
z4SX)=XF!h>(c9w-?X<IDDYGCx91}L=yB8$M+CV^)SBdyp0>H8*9&7zQegal-GYBmE
zh`<2V-drxVRXPAkzbJ+=hsUr4aUec4M?=il&yU9yR#;SZVK~H!5g@8=5Nh)x?&|^Q
zgcfh~>Gk#XZJg-I<EZ_~APGAq_7gjHit5pfdl>@mt~b#7AAWr^o$$k=%T$beS7Aj!
zuzq2r4yZ>!Oc_rum&1;nDWF)mmoWi!SJA+wJB7CEJZ!%%FYlL8;{uRIkP0g+BeU9)
ztPA@uJoyN}s?R+BOaOirsS~s-<l6iDfBAH>k~gb34)LGkwIVaYMI85Q`j%Km3<OKr
z)Uq&OVkO>~@*#?RVAM>2QP>8uEX4T&VUqG<xBTpSgi}dL$@3adn(mUkpZ4X_60$>t
zHTI6sOh_^vEfd?yt>@V=fq4?mw^t7B8a)RXeG=@7`7fjQ^o;hT`0-{ld<=ATFQ8T9
zUaX_e?ex3X0T?+iwKv;FWN&~BkoZ+DApWH}1iL@J_RPKlvS#rcSy3=hn%-5<!Mln8
zDe5(Pl38dOeY)7)bVmUse^gJ1K)~40<f3|yt$Z3ZYa7$h%!pN^hpFf=c70oeIp${P
zEUbOtC7#aex-byi|A`NOZjM-1f}|S;l)2dW`10sr3iN*BzqX-y;foI-XdJ&kqw5U`
z4ds~7(jus-kCrFxKlV@h`tsDynHsx_<z5U7|0ji73MhCHMV{1d1G3Z$?-KwEwTQq{
znJ$vsozf%ftoEEJrv5*d_B$HK-q8cGF8#vg8>sIaBA;=rl`!$TB6s($_D6Zw{@)En
zI9-Vmf)t~~RyQrs12l`qlPdSJbShXto$K-d5>gFa022;{@iQzvcspBLdH`{pkNre;
zMGLzz46X?N+Eym9N~nT74vkCxzvHH7_582q#V2FqeKC)#_aq^VgI8w%lRV1LQ_qan
zTq+zQ-&|@_7+5w7)eW=!2DiljYtRxE7XsrXn)NyH%RZR!MqU6O@oK6FQ4hl6Ux$g`
ztC%2RVCfenco9eS4pKGvrv2w{|IeTDNp|JogsQbSA$=^_Q)2moq$}G<GFGP(IYjZt
z+=+?^tM)p>DQ&9^9SW3|OTU4t=7RIu$TKMkuaQm}S?PlsuiR$}x~LrL`I3jnrVop+
z#=c}s>X*xUY-6)vQ{lP*4FwUnttdXarB9{%kg<?C|H_uX{_!FQA)+~8os0`9e(-f2
zz4ITYyI30*6%B|#c{u3-H5Ye9BG5&16*}(43uo^}wEtS2IRNmh`Ks%xRV{Rs1VZ%k
z;z2_yJfY+yC)e=3ySv+UO}sr;@=45@Z;$mM=fX(fVq;`mTN~xaj#-Jm8L)0eh#`E2
z>7_feNLa|E9q;RlE*vhy!Rm;v0egkuDQtykjf?n2_XwI7{{GE;D&G>G!G{fgb`uJt
ziMzLoJdW!f9Fh88Z$?%q(Q&DWPX%;*wG*koR`H}UZ42KK>duqd+H-HHqydFwRdH+n
z+8+bl2B~vY)!YZlqKQ%OD+;JV5!<h?*&UdHO3{ic)ISrTK(Z(h5@(<Qon9F{5Z^o2
z@B;Q&;4m>&o1?s4K*;RBHmNmRm;OfniYZ|ew%rpvOh&%bI^K!eH|U0s!dYXW)AyOM
z*Hy~A@B4ZkO@L?LgbfusLz-Inb~Z2qQf2zj6UzSo7>0cacM`H6i}lw}{|Q!}<WL>R
zu_}%@qCwe`K043IQ7-CCSdk-qN`Q(SI;kSYJ-LPsm?m2>WLr6LRPX?F<I0dq(#4sO
zs%Jge9cP&<R$yPwI(+bOpqKQ>SHI_U;{|QS*27uAk~~OMdwvz9S7*+iRqb5CrmJ(z
z`hpLhJgN9$4WLU?44d=c!yOQz9B+HFit{#})&GyM3`9#2Mkb$S5t@aMTMlAhy?Rxz
zQX{DPWfL}V@dw6c(wli-<?b>K)`kI`>(K1bd5~|?@`@Dg5=;}Oma5{<TLCJf!2(zT
z8a7)I>Fx(%Gmmk9`bjxXQO>jC@D+@zw8moSAO;_YDP8U5NnmKZ%AD7nopLE3rDKa2
zXHy(XGMsD_KA%)^TpCxjKgOp^R!r#nAd{MGYNM9q+FY8_uBJh>O-F}t1XKRUhyU}Z
z4_vWct0OnVnJ2q7MMdx1zr|_T%Vqsr`Q$0FO2D`=6-dnx-Dm(pw=cd;U}IHFf1v0A
zt6lhDSK4|xY&mLUcAcxSD5zP3uh0w-<UMZcesyBax?-TnJV0=|1zI&NYdk2<Tq=FW
z-V!?45<uFhu5)L#MhIDMXQ)QEwXuig%0uuRygX?vCG{mi%5Z4`h+U7Bwt5BF8g~`O
z4-B0R^B2ynzF!3LYr6nj)Gt&jy<*nEB;)+>;luYW_BNX~V!u}V7!VL(G?UB5&md!s
zi_yz4<vkN+{$G<T1hxsr>p`yjukre7Xm!k%*kV8QPC+yNxHD4#Q*Fe=s9JL$WRd=i
zBJ4W;$B!R8T-qqlw4HTO@dyJ;D&J8b?k486FrtKm<-uKs2a1)pwBry<u>I90j+jb5
z23k#OguO_qZ>Lv_kkHbL8wuTX+0^FP;p1x4E!Au#>^T#HJ$@d{X{s^o_r?}L=QDqX
zptLO!RQ3B=p`O(MU~KWVPNhzCzb(1*8kZ&PNad6=oW_K1^9!b?!F+FuBK^V<t6V78
zIhy?{+-xy?7alY_7iFPW{y)C1JD%z<?&o&NEHh+XWXq`Rbya5Bdy5b<GPB)E!<Ln;
zjO=UgYm^Y#<7P{?ka=bGoLj%j?|FW&=O0}!x9|C$b3S{#Ki$F=f5qb8;KAeTa9q%2
zz4z%kKmC6BA7w0R1e^_<o(NVS4hi%UBU663xlY^k1$R>h2Om(Oq!!13@z&wzL5mop
zymx4a20qs7O6-D8F<0b=DDT3<7$mmZbgJ=Stu6`-r-+_ny)&fIi0$}4@GmO7a<><z
zcV;~o_FhX>Y)&P>GCxk&6X@G_`6!ViO^5)J>(V7DgO!KCZ(3*L+`3Zeo3RZbd8lb)
zKXi4e2y<KN9fLgmA>LD6<PQ+0UCnD;5P~>T0JFQ2mZ-i_)hio!#bA9`NZ?z-obq3N
z^!F17LC&cL5IN7ya1&ESD_v3j3#;J@u0Fx_wYCrf_;RaxyTj|9HmP3L=~JP3Eg+wt
z^&aa5<<UDNnU)y?Fyl$n(mNj{ga&pd^WjaP-|q{pSl-nSW;LoQ;;3qXgohs7@bWfu
zNnUGB{0@2-4>ZC*Noil1a9E$aJN?}y^L~kG<ItK9wsutod8?})R6B}%0x*NciAzIM
zX+Wb5gniAAM}9Y46PxhQ-*owE3E&!MrR_LXYZajR$L-xd4C|nxlW|!H@V*A%eL9;i
z?=-;sMDt~nUH0ia26HDA@`(c=(mpp+R+a`}T#uZ0R7lfO@&<pGeBncZqlucP^C=1f
zod(BuuI2!7KC$0Iq2^X#pc-Bl_97kCITydUb+LNsamM}V=xFKyAfBV`Ol`K0yCv2S
z%f41GVA|0@!TNs3R^Z&ze%j&G_xgQv;@lmMbSL}lnvEmSjIr4*`Xw|M&o3fDCg6C>
zrQDhBk&BE?zGcLjbBvO6pGqtf5w4)?$jfBe*g9Lf@G{6(0HmJMffQ?|^5u#|K8$_}
z7KBfU)+sN+9#o=A8hb!P1-0TX<BNjqAZoz6<@i{1HR1e68&nb+eqfV&;r|960sbTm
zNI-116Z(bI#EdkJqE(6MuYBAFnsorfjE)GTm#G?1+q|!2ccvbImvyaxvbl*W5WW45
zRY(gUPFfG(Y5ANw&E!*G99p-Tz??2BuF04I<O)%DUxzM96b9&634pvgfj;12twXK8
zFga!vs#`Gv2IH<$@f7t?V-J{$q;@#8+FA}C)xg|L<{yE#8>TRyz4SI^ru{b-06+nM
zqn0dMg5vL*QWF~$)$q9JyAM*WZ45rfsC!tE3dG2p0A%X<_Lbe$F*?R1p0-^)p$AUQ
z4{<+$iqOL}P?ovX6)qe8Sh`Ljg3$@2d$a3C>^YwXYGIukEB1#2=QyMX9v&5Vu3Vr=
zmIyTb&vRq>?M2dOt;8f`GyS$k0s|17-<cRlF0MRg=s%?9paRV;hE<LzMf*2(@KBKJ
z({1Oo3II40mI<*dST%x`paDkv{ryw!<i^5wpm&4ka4v{d<rp&<3dFDU@u)7su{3%@
zF~G|sJ9lD}4-76713FOTk$2}D{uhvRJy@$Dht;6<gh3tFG5C$H7-&{9?%tkw)2%nq
zTWjDF;(xedOI*+&%l1uIKXKLt`ek^U0FZ`kY`K;->ax6-3%%n#fQR!4IGk6(m^H0s
z&}D7daitVs;Hj#K#py9{(A#T2mG`#-NW<q`(rhXKm|Z@oMNLuzZ4&eZ;o_gL@H%1k
z_mtv<*J3utSCN+igwU;4-%4yHyE-sq3#ZQ5nSjFT{J0g9++&eK(*_eSFv&A$#$dfw
zsQ2ShFA!=#Zy0u2uFs{?3xc?Uj`cDKDEvOzzm5{n$=byx#fG4TCl}sqKBR{F`<*x_
z;au62uDe`1f-}xAqZk9lLXa#-18i6>;m`ujho$o!j-mr>#kp_o{7N%MNDG@#z-w}H
z)|^fqD#6XKCyWG{O^)>+D`r2$ho<`84~>RJO;@Y{z|OvvwlF%+YEzVV9h*K<Bi2*9
z!iA$gW`d&e01L_<$$;?5+svDw843?gTm|)dm~R9Of(fu@w;w*=rkl61K(*2F`j^hL
z4KoZ@K?jV#uU56Cv=}pjaxmU0HYQ*|#Fo~jeI{$xrF$a@K@fsyyf$Awx@ITg{8t-P
zB9%xH;xj7g?r-pdzidhhhiOBaCz;h4vUnO{jH;w&Io2^AfBx<Yp--~!ey%A5ovlXk
z&%PW(+FdmA=4n=b3bgdW+}=<w0(2EJc!Ofk9fd;qIexLSicJ<Nlkm&kajd~kQ6?4V
zUzUI*<XwH>pvyrphDu&tr^I#il7t=RF9DnT8#Y&%lsk5dwnFPg%z%U5Ln7C%!8znd
zkmRL1Bk0^?7Ckgz(Nfh6vcicsoio>H^37W8L9!G?_9;7dt3D6g7#64PNZVEwA{zX+
z{!ddJklRgT0K|ZglC^+v24Fj@n}c-mKUZ#k4QOf#Mam8SZ(wwXG*{i2)qc;AO5wf!
z%nzm55-&Awfg4qss`FSx(@Lmh)*cUwLXKl9z{!d~-c&r0gL_CyVvA2D$3Vxj&rf8-
z6_#dK32du~&)lbx59E{&3MzMW8vTK3wlOqy;B(29(fM0y<G$kcQ-HZ247+kXR))oZ
zD0Cs>)#e+9ziQ^sC&V`bs1I5yfR*)GPa2`^Z)yd2*}%3$)z}!)gI?uHY{kbUC^2iZ
zw6NF=#RK^VonbJu$&<-@@fE^lB5kgHEG@LCuhR@*8=opX1eGR@`LPQ78xU-V;wGr8
z+HIT(=8<RP;0U<5b!Y#R?ugWeA}Eye!Oq8G0A=6<I^+W1)4teOEldD7o+CV4T_g%r
zq_m~T8A(N;L29rX1TmXdtNRn-qNzKM`lk!IG%x%|c%Uf^qU$jMis&?+q*z{j)}yMj
z{0CjOfT+c=@i7nSo(hbQuc#Xfbel@=cMt#yAiWnDBs`LnLEJAJ0CR@X;~G{0ypcLU
zMzvbuniF1KLg;%hPL*75G-24w2aP)y=|!E>({xGthXX1$6=gKw3`UZmUWw{O*|ibX
zG-*`bN6TeUzo&VYNjjNDf}UO3H0Glx;-hUPeL{VsPQLB|);1skmL`u_iM)^2#p>b;
z*)RnFx+p#LBd}pMr?n1J8yQ0Sj1<_)Yl(NOehPhbqTCxK!tjXwzu2sa4g$~)qXT}>
z&DXUm_ohYZg1+9L32ZE8gUy9ljz2&&@Fqs!$bG#Zx@U+*TDv%9k9*DU%+bmRj<m0O
z1_lY!NM?866)fi*bh38or-RPy_aFmmU~7EYjcu0my`y)blECLYfT=^@hXp>yA2bCu
zKdU6UvPMk=z`QL&j9Se8wPXK&dLY}Rd@7Z&K+AF$7p+7()dSUC7Pt&@b;~;ymTn|}
z0AWC<5;ojf&7k*0!yFjWs}+f$%H+GAp;u;|T6#_nr*il#>KbxE&%~YT$LU+=o=HND
zxj}>^i-H<n<u!aJu$ApM9siZgryxb3>@?lR119un$#)$%?h`n^d1|17DuuS=kNu4x
zx^c#zOOJ(A8UgA|;|vP{o{oF0F5}V~1<e)fTkBYq$nO9!aikwaiiA7;STou{?f{#>
zP;8g@F1dob5+4fvFS<-_%F)R1HXx|pTCH6`di)A9Uq^;Eu7vh$|H$*0p}UPuiv5<1
zh$gIW2O>RhdDS&FU*ru1fiTxvUkB@i9|T)c7;A_MfByUf9dMhc$~Toj{?3yKR5@S{
z4VI*Oym<^k()9nn#kYrWfRxD3^X1!W=^IZKfk%4)L3r43f=eBVoc(hI_=lk0p3(Cm
z4=#vH33*zqjFc_l=$#E#O@saIpyRl6_(EOUyeaVM)1SRaX?H*_vIaOe@oMQG*0u^n
z2;>C+Z05w9^x)^fMC$;O*VAjHX);vUMzUXjwZVp@K6<^<6Ndn&TEivOu2ep1^Cn--
zMK#ulJJbYsK$%5PqR>hLHUtzf5%(p^?7>o2ye=S7P^~@A4{qSd^{zEka;1w?1MkF&
zzuy8NP<{MbyU_CtCXKDQ{T<Tm#=`d*Y{@#^!sj)qEq_j#zk<x6&qxH_Ir>Zd5mzzz
zU#A*nJf@ovYMoID42L_l02*NcAd2js``N4)C<4T+k0s-dd~=zp+EdBj%bh%aB;ijH
z>j>TWu7&L``?YCjY@K2E%QN1$Wz)gfE-S<LR`J4(vVMkhN?=seznjx0KZN^e#qpaR
zm;P+NYmxv)3m~;)`L|`0C#3dCYL9}M&s7`Gku4Va9P<*){2mB`{R*im;QzNPYAZPS
znQz`u=P~RanizsE4Rwa*1^ymR6%#Ztn4W`)FSL%@afj0cf4j>Je|DE~jNI>uAXdVE
zpbo70GaMD8kq?Fe+S-34may|jasW;ku`p=8jf>s1?gZl(bc6qfX}@9BOoQMhs4Prc
z`k158ZpvpJ6<xkr-XG6v@M617=J>ufF!O!@M<;9%ltUF7S}C0?YRZU^u2l(tpQ4MR
zA{dr@0LC*!=+{5kXv}-F1++r_B|r^zTb<yCYiIi(5<77<<+uf3Yu`XHU&q~h%#hkg
zc?@-rphKcsSau-M-9{_?B}^m`MGHH$yNi3|6chjv<UF78gV@;HKrGeG0e^6wQOqT?
zZe4sNXuSb(`i$wkPft%TVS7n65?k2kFqHRkrxoj6s|~zSGou(a?FBW+kBxx5thRww
zuWl8bE8?&C-{7ZM+7!Lnl#95>9oR$Nf(DX<SYim|94}O9wK*>6=l;PG#n*-j_Y&2d
zMK}|-n=yKP;PdjYD+Z=7!liuqE9fR-+%-x!v;Y`ZNCPmV;mBp&@sZsJnMPhNE`r6q
ziNu|6(gHXM@7_2y9_>1%0q;Z&ghGrj=wC7hE~g_%Sgp^GTtR!L?f@LGKThahc@CTQ
z$9V%P`LzbCI@1Wt%lgrYJA=OK`8Su3#5&QcT`u*%>k6POI>2*PO!113H~=VZ-$CyT
z1NS@8+ZaWHmi&M*hpH}r0PVIG&9JjOOm7F`!6^qI2T}lP(e}Ero`%rY+))YW)mhj8
zpuYi8Y4z!BO2y_$Kn0CEWMN1DY-Rw1>P}s({kWzu7gz2z4~@h2OGhMfGGLI;1<#ej
zA89BF1Ue({Tx&q-HGHK&IO$uyr0PI&J@sOiq2WUJ(}jhGw!D57PG%vy4rX$bh6n2*
zLzVi3S%rp$)#fX@h3d99SS=pWI1`W?uskGywyQu8yoYHNUf<Zg=08dv@J=mk)uj2X
zCxh`lzCGg-R~8QEKdy8yvm=4Eklfp~Kg_1iju1aa@<%(-cFY9$(HhFqVuvvWVrNbL
z`S9dY@9Ia_FT~D17uQ3c(6)$l?~~LOuBQF-rQX7(7+rIP<ojRS9YxBe5%-Dcfs?de
z3o2IvF6Gk$j1;3P^X7*j+$_?aaK&cA4>M8K1L{{0G6y3)sbhrG62$`^phL(jU5IW<
zjOqB>(|8Z%b<YtE1qS!q@=fMyb<(Tl1IN<<&Uo)ds&J*o9Mll`a=dIud;xhbZ@Tcy
z(JPR)m+@0SC}V=WBh4B8v7e7@@ZJUU)B2q<c@5E~YN}Z`S;1>!L8bbD-6zd#UpFlH
zeI5w%*~9|3PVDTa|FvbF-V6D)MR(5@mSl!>QjQBR!Wt^Ck1UVy#jpQ!FbFb&dv{G(
zi$c8;yqs>#l+xBWr5%1qJ6r{G-iFN_yUME+-k<<bw7V(sn!TU9@}$)W7>2kGf*4mO
zHySXgb)UM6hCi3JB>UFr&-?W<+y8nA>;;&^Av%ffNUhkXViacfP2MH22G!*_vS073
zLQV=Q=7x(5Ow4xj^a>riSX`Sy_2JZH-e`<;Ue#*k^|LkG*m13Az|pliEnCXeBvo3U
z_B99DQ#uzt-s-p5Nw}28Lv})BG_xBNHk0`TA$EiM>A^o%wi3Sp&=7yEN%80bqZGZV
zAH7ed-F9ZJ{ELuqd-;hYzS_mt)D?`XFLle~KqhAT;p-K{h<}mI&)0W@V3Sv`vCY!=
z`{*rUMt$xIs8m>kMo8yB-@Y3hh@KbD%Ca}^5o!G1#ep56D2d$R9uJz(b&ZhP-8<$n
z``#ggZ7OM;TCE)B0H=iLBha1;@QXsvd*oMw)&VtR0EH6Jx9TyB%x<~~rY2MW9Je<h
z8#ih1dM4Kv;AQ;#iV-uAi3S%BFfdw;uK}}BG~zH395;N+S1zkS;TI)n8&CJ4=T!?I
z$Wf-j?{=xWt}aMpYV@$!muZe&%9Vl<cL3<EXO;En!CfBG*`caQ?-eKf@lJ|pFh?G-
zL9}Nkb1bY5Il)GMULlysjc#0b-T)&$B;MUZ{fOj@$(pFv?G^W0wEIErXH~26(0>k6
z9Tx}LRd|hu%d)5mpvvtvVTU_lDs_F=WsU}9R)2sQSw|&U#2GT+tgXKV+~t@I9JS@)
zpyQr!(V1sMPCjE}x|RM@adlce*b{)~LJyJrI<A~2$2k8v90CMjq_mfclWa>-=>E0R
z`maP5HAcuYrj@?mH;YWklJ$@Z5BJU|J?B?b#?GS#J5qNC^V@ZtWap;jro)_kzbx+!
zDeukmJwN|*wM)>B{YHNv$H#noWzU$1E6xs6Wa|;T1nlZKA}qtj=HoyOo?m)fZ%G^D
zL75BMaOuw>{r<2+{;aH3<<>1;Zo_=p9#g%mQ?iAgpM$9R>{sm#@+ZeUX-}`?RjgMd
zStBGjTR;x&$7mj&=-H09{=c4p@Fu)vt721clW(UmT;^>j_isl3z07Z>?jvYHH+V!F
z`5xU9S&8?Xps5#aKh@yjHzphYaBq~Q;pfam90=9<PrbF)#<ZO>6>nqJ-Tv#A|2{cJ
z9)?%suJzIbZYVMq1D<J2eVY7?Nfiw#P2=nPD>|qk8)4qM_|1Q~y6e2amTB3T+3Nol
zOMjn9N)rheDO-C#UCI8DMdV|`UgES!`t<?Fe>Uwx@X`xuy!z_upS%69584LlV+NQ!
zW3*$3G<bwX@kNZI;k(*jUj+knKi2D2p4VXfe|N{tVLptqP_brjuuvVwj#dP8VRy-V
z9%U$k?D%I#|Ft$LOyDxY(I&utbH%i)MWpndru;wa;$qiD$ZOvC|JKbQf6(c*z@M0m
z-lXF3-1F-it>92q?b-KgKKzdMP?k9U#2Wv8jyl<=dv`r$ICu1N+1k#eh4swJM0eaj
z>saA3rg*7+GqoC1Z~p&|+Ks>WY<GyP*DAdJISHL7e(#Du^2kBZvuC7}{mjApQ;m60
zj60ogB}f2pVBYBT6xO-(<~a{)D42}TCY%isH~2@;(c}VaBg&=oH*^1ov=3~0hTB1t
zi6&~EZE7gR-EpULW{>3cgWl+=ZdDPPC>KRpV{*UNiIm~~;y!_^fcvgzR9OChN5y*n
z8Nz!tVY^i-WHKjDS}bQh?<Rl4T~HF<{bp=hs%%YVxbxUcU)EPJkbmBez2Tk@*RK<5
zQUs$x!yX&3|M&g<djBV|-WGF|WUI!REqA(VoB68x^W#D&qc0|yUa#k{hHkz%?7Uq-
z6|5Ab^&*$;X#dc}Rn7Dx!$gm{FVX9(X<slxV1TyhcT7PV^~baThd1SW!7r;1AG-F8
z9HR!re`~xyZ?Z#n7b9d`vYq%|CBXnWHB9FrFck%?tq;JkIO`{!dpXISKPy_5&Kf{W
z@AdC$f(!1AfFJB<q0U*dIS@<{K%0Heo{-K*_~lNbW5|r>2NyiszR#Xr(odzC=BVaZ
z-uqvQW0|1*fDyVvQnWhi$MI<K%98NQj|D!DY}*_sLgx2_^}u)r5Zv#*UMkm&RV4@o
z=qQ?}Rhga~T6-R7YoP>^KTLdqOTCq@$MnMM2{DE$h8t(x`K^jcP8wd|n~~@5Vy=fu
zm^<y)`+0IMb~pCC6bX2`U0^1RG^)GVALs5VQ+sc-CxVau^Em}Z@Amho-DqC@;_2Gg
za-isHtu&TLFIC6QZ)J{%So~Q}!L#r4!(dM32xQeh<}&WmPCrYlvbRQAS0uP;5`tmJ
zKYYN=OX?&&CX)IkRnAE}G}=iUS-U+GA|H$N{qy?&h#E8e7U}02XTDaP-kiaB2$+I~
z1ZCmcGz*xS#3%k^$>pX7ns&W%r_8Y?!Ll`yb<yR@OX9IN4%{?LLQf&siD-BPb^B+(
z1Uz=9t{1s>&)^Sv#Av5K7fJV0VSdT4rudJx`OPvkp-r5S-O=U;Rs_8(a*i(QX5;>!
z5PpKs_~)YuXIHF;r4Y9@T=&xaAMSmu6*=6EI*kLFJ1?MHYJWh(Gcwfj0s$tE(uw9W
zkT1%@QlT79=WX^A4i6G5?A4MFeTI98=6f0|wG5M&rT7}B$6YG}*2}}Ke$rmL5@gkN
zJtyrBvb2P5kh?0i^dF7zi!y=G9L4b|F@E=QM+R@HOMLd_>X74^wb(B6$T=_bp|CN}
zD%+u8*|pt1KX>q=!ir!ZYeq8bciDr`pM0im+@!CBA-P+S>2t+s7K|3{WGjUraPZ63
zyjRid?@i8rv93>gtty?{vT6~SHr?O|Exd_kE*<i_X(70PDu+hV<VDPQHg;-%SOxn*
zJpkd+JDJ{wZxLwfql;pPuFNrTy(69vLHL%)%ti<J9J6`N-F*W(eQ$;y`}D!2%htjg
z9A*^*n-+0HV~Hon^*>Cj&{Zom`;gpo(_wrKKe(fp4MUmcjY&7RIFPhsSnkqcWe|X{
zKd6^n3q++zeDpl_YpwqtRE?$7PVbE!fz_Vbw6RY4@2H9UtG5F+@;XEQF>`)hYaWdB
zfODq0xnoTC5~H@4<&SHJ!AFD=7$IWrh}y3<n=2k?#I8(L`mBwsmanEtxa2~g%#oA0
z2hlW9U#VWoP7*&RAuOWjZcL$o30UJ;vSm1&0zY<&lpH}*On+paARc13%fmNoH9ako
z?z%gnmDoR`FsD~u_m}1ZqH<voOUn`;#!}`>I##V%i;j1{vU@7Gr719cqIOa>;R(%{
zn^XFi5n)A6bB9T;E{(Z?u<FP)Vc9UNwERE?Z^-5abqj|;fuw?hE@|3y$7Xrd3!wEx
z5wfOFDKF_9TwwEeQZw!~)pcWfWQ_FdjyRwn^lD7nq~%$X&+l6yoV0h_%J<cSs1Of#
zo+keo&v7vYdtUNv0>MeWyCl{Ij^aKgDZUvOs+e}W?CJ%>zT?k^5K8~+-g_w#vb$O>
z{`fdP@1$I2cs$MsvYLUnX)69)X~yr9cF1kg9E-vqeR2v>N=UqU;bMMxt8(d`(s(+a
z50z1+CZL?}Gy)z6mn?Z-uF*3dt&_^lOZ`zVNLN!HT=$?tx*x>_`>UY_&SNQG?*CX#
z>f3WQktxX#_s8oqnE24%Wy?X;`7eQyt_oRg2=+hV8ucSrS&ZP+I;djuroS<zNIV;Y
z9H64n%|1U_!7KR8X{kSJ@@fT77#kE{TQS}5h%97$T}bhbT@~`Cg&{?eN@%Q`I3X`x
zDbT6Rr^oz)pg<-!l#Dj}wlVq4mJ)SK*^ErP0<dgw9Crb^%DeT7yxPdV;{QH(JjwZV
zqUTrQEj%H-%^K-;dz__zotZinLUvoHrQw<AJJZ9(c$$FDb9rVLcM%U*oA<`F2(a9w
zfRHr~aC3Q%X5Q%3|Ip)(=dRNGVN_p<BUYY|q8{CDt+%9r+d*DjwH3D4-B>ks=EvRU
zEB>GA9as6dHk3+sZ8m#WtuhYRX0Iqacmau*ZVK5*M)|()kmGSOs(7F-<a*lBxb$e&
zYutiVEv?Em9F4bOlk&-dZ0e7I#-3`rGUVuNVpSWY{(RMVA>)}<%PB<}OVAYGG101w
zRX%z6G(5CUH)(ljkpW?@)b)B_T6HQO!y82gpPSgQS2(@>@>60P%*$WD_0rd336otG
zZ&9nUD%T~9J-5^*SkK7nR?*pw<A{u1_m=b`X6VMw6#MRPIs8krXHYCwHL~n#ET++z
z_>f$FL(`7#c?9qt@kTD}0&^QNkH77+DrnH5|KU#9vA?ixe_C206BTJahBJuCj$fdi
z!tlKA!42xhcxE_%esb>ID#b0I6j_pvDooXu=c65okiDOT{~El_n0U+6fLl9b_b2#X
ztvsxJ{M#A-r8U)c5evyRdtImoS~!!Ofl<YQ%gz8bOCZw6$q0K~xsX=nyrIn_W2Re0
zxg{??TnO7U_-4wQSkoMPFYO~sbIX&k5ImK>hQ9EFFd6g_g_`ijK#!Ic7c0lBnDDEB
zl&)S+_gh=T)K5q&h<rXY&SuRxB5i^dQMuiT&$WsT`j<G{Un=WW)0q15CQa7ck7-AW
zZxCzv9T9H3P6&!Qp<&TN@|d!c7kvikiyX~9Lbi%SpOnniIm%Kz>ZIWOsnatB-VbrE
z(O3(Z)!Ry8%~=!YHL*?)$1{ysjRQY|;@w|!oO&$Ju&}hj#QLaKwKq!YxKjIsO#|N7
zAU#bw#KSDeKX{)>_Tk?0RI8mLxDgF}@D_c1W(WJM$7>fd3okdUw<@>Vn7vBIUDwGe
zp%hYprMAZ*^=op_OUn|g(y1S3;>}U2;u3uJ3K4Btk6t>wL19GAnF1P?`$PEc__uyu
z&@yZ9df45AR@Y(XwrYY)8@I`vRKHYQJ6zsjeTLK%8~dZ$fBJ?<2&#caWLIx7e^CcD
zI<|A6<;_&a=xWh6pu9yrpavTs4t<)`R}vbvCC;L(7r}EgIIEvNMKLlvgMaE}LElu*
zs(FL|ndPx8(iU{wH|!hikS<~l3n}Vr+hma`pH?rde003I2i)-!Hq|@w#fqtG0q=_q
zGrbR1D}G#WRM;6ceE!QkM55_eB~5(F+43+bw0)3=ipiC7HoFazZ>E<LOJ2n;Vr~d0
zbSXKMwmSQ-VP*&TVnI;oCkf^h!I5f(Z5JeL^r|L2`MhM%c#g`R!`l)kR)*peD^GtK
zFuVT&OJ=nrW?zvnw_2iWM_Ou0$QHqyOetJHOFDEBp56z@^uokpgl+?PiR#m6qKM17
zM`y5Zb~AfifV!*?-j6od?Q)x0x|V$Rl+f0JCoUj#1V=)SlHa9N`RMTf@Nm4<IVG<Q
zuKLdlAlUJ@F9#Miz9vv;HDCU8^T$)c$mUODMBob@?B)fT_bzFMZ*IF3_VU%(KdHQ7
z)krj%e{Vpjc={;0Wz=|;ZfVcwaKxq_vH_)(Il|i%qYbNKn8SuTBoY4IpI2S0wmeb+
zw@tj%Z6p~wu`aMps1~g%Q4{CHgg*j%C{Nd*rVZ9>Kh@S5@IAh}7MNFYVXxXtF9Ml@
zz##<k3T7SVIkd8K?IM|o#>naGz(GqYlEqzLxOhGR3_;&uuRU^ow8yPA^ng6LZ1X+R
zR7O=E)iDwdw)&1@aV~d9|AMT~JNxL;^%^vt78=LO$zYE4gusG-hkDZn^x9}NcoY~u
z_g*^aUDv44)inj|{gu<a;Euw%#yO&G7ZfRGIgxp)^07VsB+u;(&VE)1YW%8NtLteg
zgA79%j5muNx}PBT(r4@)w{rBZc#VJe@paIxO!h%BIy0zO#%ce{agNbSACq<SJ3n`?
zjXOSXtl^v=qmHA46~`~BlsLNiDBrURO|+V9B2v!AjiouZ#9Tzs*WGNd%TaWTA1(|X
z*Ptmh3M!&CD#lEg2uO1(;rz(N=L_p%YLdC5RC@cb@VC9CrVY(GyKcWZsnBwQ;8lLq
zrcp*A*8Em%-b<Ko7bY}?v#tSlG^a*5B1LA-hQ@w<d$$?v(D+J=N?5G+3@PYpdv0x~
z&g>H=8FAy`?y^t%wl_;Ki>mxDL5A2Q*e3T~KQw9Z;I)75U4z~6@US)?R^9$m3Q+t|
zh4e8&{G;<<Y~QfYk2*9ym5yL%WLv%!2-ksz#%gC}<r#E4B55rynTW(R6ymPOHax$e
z+2rW-lB2BJE44slJ<UgqtU@k1a+Dk!b}<))pd@AIb9X+M%cWpOS1JNI`d56l0W8mn
zMS}_4BqAB7NJ-n6eDOmy&5uZKz5_lIbw_`-0y8@gcFUQ7yW~42K79<09V}YHT^}k^
z;?aKvmL1cfEJw%Poy3@`$vfUj@+`;^1SCbh$aZQ<%y(~96GQJ^a~|vylX30n?=FFh
zcB!`uUh5xnPk}3gY_W3c-Sv<RTk0Bc4lp+Jf{R(K4*HM@(<?15fVOq*w=2w=ef%~?
zs`(M7s^)^%MY{b;&~{%;RprT=2y%6wB07MLD35SF{VnBP+b4aYuG%qs9P}w6DN^l!
znai}0iSX+WZo=_0-?LKpE(p4~&;mz0-3A!GQUfE-a7Ymy9#pJh0{A&;er2v}^ITPx
z+VtNd1_lpEKY_SUw1$t*={>9`3_N2LylTNEWom+M?Db1HKN=@hk>A?>(us4$$A*d!
zZpaUXF81iEucjGBQ<XYbAkbxIAUYUV^`9Ej@Z`Gj5KiX1ZRr$$o0#Nn<4(+a^N>U;
zn+4-?jl4-DyY<B-97rtH;_h?zg^dnj_c_AJRrf&qzz(4j$Vne6y%;WHNw&{NSY~+t
z7Gz@EYjK@Mi}gd?DMTv)4UesHv|jex31g8K<r)u8xdFmS9=R)5Gf5}pQxwjZZC{<8
zrZE?)lcKFC6F#kG^wtyX;SQ18zy<?m=K0ROn_TZGzTMdWc5gM|uVe%gigYpi$6J~k
zREFBL8DMoLS4=YM-ut=u6gjL|fj(jF?W&OHMU=ewT>c1^4LqVuKjk>?2go}lnw>Ll
zbnc8~l1sXs*KcRWF3-zXnh0pj{W{p<e7K10UiX)}eS^z}fYnYzHzF$iX5~-FN5pLc
zw<|9lVSf6B=8f+tImJo&1D#$LnonW1H_(F7MvdO?BD$Ih!W8v-3E6pfW$S7*!ga2G
zGV6Q7cfX`gikV=V=e{NP1ssSa*`hH16vc|AEqj6osWVA0&U==VcL)Oeiw_>(e|CWh
zN|I|R;>XCSf3IEkRU*(#CQbSudY@YfTtqk)(OHnS+$7Fr?ysY&kKc_Njev`2EC@0^
zIy$;LCd}5mO2D<&N#dZa4OUbk;~ZU@*!|YxZS)p%nSj!dMJjGY#WulE)!-zDs2l%U
zcqV(8w+b%ug|StlV<HY%sPOOLEMpqOVg$^<RvY?g&>%)6e>iGA;V@Y9X57w)Gp5L5
zV*F$4Te>EG6AErp5JsY0oVOmV@qJ9fnx6`-t-*6XUVr}SpV;BAOQlH)Y(kavbw2nA
zF&ds=n1TC7MI48-C=WBk1DlEf`+EqLWY&UzmB&0DVwA_OQeDy);XvxkUD?(yf5l^Z
zPh*bC3I3h~ZoUYaNbZp;k=~w<Yz_pAai!EPe6`}?Yy4V(W91-nLf8SOg(4i;$$J9?
zALA8wYU1Nh1H$Bl;y{F`1avhAo;W<H09)NW1+c?9taI<a3YMNYpKtRdHCWgsEO??z
ziA#5^d{fBISBDu6<Ld3|%7GnT%xZZ-NJ%n7-K5u#r_FovD$Ai3(~~w0E^};h0?;)o
zjZ)Pi+~8f$mk8wYrNToXdzHb3=48%Y;X}Mep9KQ1|Jp;0{9EI#TeV)bmo%$2ioWA$
zyjpgrYg)*zycU+91I6FIsJ?BjP3o^!FU%bU7eSwb?A;u64!(AhR^#9z2p>jCxAv<_
z>5H)Xl5lngs%7Os&;s-`jHE(^z0T|*=z4567q?;LYmOq1opH`8Hedc|cpu%UzO_h&
zm7SOsGu%89B4^V}^;kyH{oulzz@+~B%biIlSrSEnKfcn{rP~E4Z0dGFhFII<L~>Yf
zN?^&0wfX`RKkT+jve_kQ41I_u=`J{&_83>0PNns};0)KU51vSl86VWGFQH01g)o7R
zhpt_-ki8DAEU1%cfgQ6jE&TXJ41X4Ea>hODJ4}S^>}-B;BQ<inmWYyJy%(*4VU-1<
zeo+??XO+b;G6bw%Qk6N4DiM*DBkKLRAoplH39kp(oZ^>>H4;g<b^@FPcV=K&j~8XV
zfwlBD^A>zlIWD5|AdbrUqb?mPz|LtVO!nIy3E^uz+<folGXbiqkpP!zNzQ9UNG!!F
z+Q@7INM!+I1k34VL1+F3oc5>i0o>ql&zG`qmK1{bDPW}FpheH(KL++nfkJaev(G@A
zA#sA9a(Yse6cEzd1Hui(WoO0MTaYZszAyw|N!eYjI2(E(dJ6c{n(0aCkND&HcPMz=
zWD%mpWtb2Am)wrcyvFk07utVz9?GI78s%KH7Xl=wtz>Rt!Gb|N;U2O{wz3ja_45MK
zIz1Hv!7Psy*$GJ^M2E>_l5`6dtv3^p#$HPHL1lcRm}ILDRBTv<lnqG3ZnQXWr~({b
z(T69c&4aJL4yoF6s9$wP9=RDEu3b;Jg9t8O#mk%Zvp8kut8%?Qr_)Fe8}aM72pHk+
zVcMs)uRK}|F+ok~xWUqHn~JBVlFp<w9{t;&utA9OMPY^mKc&&FuYf4!UJ(520MF%N
zveSE^u7_{CKtSxO0=P)mQA3pw5O(Bp6bco>T_?F-VSNy)R{6fUqu#E<=>_iEoRSiM
z8N4rPRR4@frIn+S6)W7_2I1%=pVH%be%mJncSglFO4R|!*Ik-$FzgQvok9Qsn4k{Z
zHF@x@_*P*yuN66``0)Mr{q`<xKRUGe0o4b>8^LMpQ<eLrfcpzYx}$_WeRpHqYuaPB
zOIYp~52(1XC2BJh;kQ_Nfza8QSw?)7H}SMlgT>r?(~NiyHYqk|&^NfyJ%ep$^!Ae_
z)G#b+Vnx1HEJCkspRbO;^Fm(>v0HI((%!26T2=O$K)VxXq<#VM8sTF-&Z82|rKp4(
zyzSmHa_NiybZ{rXM1JOwI#$3CYXi9f7h5fO0+B0XvZx4)C9d26hcsL!>=Qz^uwk22
z&$VP3gu6DBJ)(2x1)SLUd5X-6lfJmE?E+KEOYu5=!&@-CH4_g|J)Jq6D&gr!JWf#`
zf9*va<ueB74^)QFSAY0;ttfG*gA;XBHbQrH0%D>6k+k9q|Cc4lO3g`LO^wCin^j?b
z7feXGv_jgX*Vn3Z4*~+|0=oSmkbZ$%eRiL@zeSY5lI@Y0V!g1ZKzPOIO`kk{ginQ?
zZtRjQ46pR7-{#G#Gv%`m$5^u28vdD{)gYowkkgx<%rTPlw>tk!Bumcp6<u0yD7wq4
zD5UhnnPEdL5KP{nVTU0b;uD(e;D=_KC_Bv$JgpT);8eh4!98l%?8NxdgNv2V=X>B(
zKAF{1$WX19nZEI%(xb&8YNzmedLCp$zo)Jw%$=f1Z|J<PBV>o_8H1x&^PZsMhk@lC
zDZIe~Fv&0rRWlO&m!5DSC_*<1@FZj<+T~L?+ypl`)RpE-j{QnLH4a#g{xsB^0-QvW
z5x<d_gCoD4&_woFlaxq1)>h2VfY+D!fr#_%fjlaPfiWVcni>*46YmYVRjY<`W-w46
z0cOdYNggJ*M!y3&lh+`9dKpvk<_nj}dd(UDWkrLw-N7m4^~WDBg}8aQxz@lBFJ`ph
z5taWC-t0aC(v3YepkBJFxh**Fg!R_j2>+_rHFneYRA2Rt)E91$5y<^y%YUqJo1#0R
ztkLoikUqug#J(q5U;D8EDitkYq=vb&xjaW6cktZxiJT&FNsZYSC!~}Ttf^s8TWLF0
zwJ|H1XuM+D*vBc%5&v2w!+PAlTkusjihxoK(+0?xhg#Rzf5ZSaXTft)PhK^GO=`^%
zv^1f1r3@!)`w2+f&p!)LSaE7UI~iisDi}WenCT}4p5w9BQf7vyL%_ju_bLYK6Cifo
zAJ~<iwq!dJ%0kcYF6bo{hK$p<1)^96?9g~}a`<kf&p5I_X~bZ>X6Gx1o9}qxfydKC
zz@w7-^e-cPzSuI==&Gf+*EITR8KOqHfHU#eUTEbZJrJCc(#fNQU^K=1@!dFj8CN>T
zmZL;SW((P|v5YM25shYR6bEB{V#jv`lXOK+Y`cu7F`JIzA*LVoUcV(&N>@X$aAd!f
zOYXYd5MJB!^&ZwCe+zMxC(<&Ag6lyx#?wT$-0D-q10I>Ie(LzUJ_zm=!=wC(5k4f+
zaBaW45V_Vv$sEzE{u1nPb12|_K?}iKE&>l*BjpN#vqp>*145vulH4bpqo}?K^}zLO
zi_Y_T?RGLk{AoJo$^sDi|0%0YNi|;)7v4y}4Uw}>55KbB+W7uSUk=~Nt$UL{!>H$y
z;I3u4Ws)tb!FJEJHkJ&wJqqSxu!Z8s=l~IIU?g9&%mQ?q=q0WPPNGGzpX{S3^y(i(
z$SQ;I_E&E8tARb+n{}fG*8-cSaW}>5EyGK$t4>c&udbGe0X3U6Fl?v%*KPsYeTELP
z=^`K;1!Cy%0I*q6i?j?8;+=(i_8_3n16C@Zbg|C{8mhUfZW`5`q-zl&cN#OplyVLS
zkg%MiqY8i8Dn}5|-1wAB-*(IQ%?nn8;8D%23}fLGC+-zE8!a2p>qQ{6N$tDQ*MON*
zlE%7z+l+#eSaZAqpOgl>#_i=%5d;H}9A6jv)}0<=_NfY{cjX`$i;8i2z2f^+Uc3;<
zUh7*vEeMp6jI;mqCFh>c*UX(ECD-fP-Alt)n-j(;PMqit8Ruo`&s{h>woXF1PvDc&
zb?61%42IYjz-9=Iy?TVN{zC)kJKBP3uru#Ce<wM|P)oL8V#T<IQbI-Z#}K(xRo6!n
zZ}Fn25Kr(a#gHHi)ZUz)$V$cOqGdNf5heWm;|Xg%=NWu5|LeA;b|y1bnJz?bUu<T|
z@oPwd&U+n@MHmGPovWgir}!QkY<wMP+2NdlkV5N1aqwW<_uj2ds6B=G>w$1j$cB^6
zZ@J*O*G}SCjSVGs7%RP1hhis*IIq<#oVA)d`sxOnkv{|MwVP|N3#`<rY86qMV>fx&
z)8Ey-jIO{Zz78|xZ<EbZ$=AKJ*1%A`UZ19P5%E`uBJc<(y<$x!iOor7G<6_gPyIb)
z2P{)Ali#s?pKQf?DH*%FNLJvgpHaMwU?!xjc_N_uV(QdG%x0Kfnf#;@kM5w`c7?4Y
z6>W6jsRqGj>W{*B&9NKN)b-Sz#>1s=Btr&yDp2L+foIptBeWqIq<7D8XF>Md?nS(2
zo0a`bhwu^HnOVsFUOpXFC#dq0BCCKe;u9EC%Au&D?hNdN^Hs_$51jV8n9o3<gn;Y0
z@U4U(*C~OBmni}g$VvaX6gb3$@CI^~+(;_YyJ^Xqa(;JUG9w1Dqo#&s&>3D2X(&6<
z;<wa-&o+=RRL>TU>J9RlmOe3p`ka$tP=p{j6rRZExUGYtrEJB~@X0-SpZVkz;Vm9O
zSFKpi!<M7<Y5-nTh<i(fyH1szw-zj?Y6x`USc9^uG(t4cY?e#oG#Ip8cRwa4_{wtF
zJEhb{(%#QUL_{)VoFReXtEJ_SUH$}vK+;4WQC|h2P2;r8=hD)`9Yr?W9GaSi{^a`K
z?#lJ_YQP^ex)Mmh_cl?9N2c4Eu^0vIE9Zxp1>6uUIKCSM6)a^IXHmtMfo-V?5wGVN
zGA0}&MX)R!?N!ksyXdaH2L3E*PH0mQwW<DMtQi35uvYD{)rk{>zrcn%)DbKg*;bAV
z-p)B5wzxA>cZl;;{BEg6_D9JFHgN)37kbTr5n78?tSRW(3fy&-;hfJss)j=Mv~}`A
z;ZYoew*<`+=C#!!S)`og-}2wpQL1E-l2CHGOh%yRoy69Co0&)?rM3SC7~opCo2{I|
z_05^N9?L4`$&iu=!Cm(|exVL`KIp5SSoD`RPnt$ej&qm9M(eUADlyyhsm~G!o&GK)
zgRdRY6bPM(UM|t%t&m`t#2(xe{z!BQ!_Dar+n=i*(Vt*a&ZqFn0-yWVNNs0zF}qik
z&_td{Or*1^v!m<WVDc%%ZLCtsF7l(G2?Ynf#(=x-?xg$tQgS(W-z~xsQXGyqPp+2R
zk<+|}OClHCpDcZ2v^f1q2*C&46t9#@n8eN20cZI;sG3s%k7@|5KX}ujYuZdOcq6_2
zqnI2!c`m_IJ8<m~1PhuP_}abd!SHmpNY6s2f;(;RZhV^zXRO%kQp!Kyl|wE>;p~!U
z@F?#rf{cigV7&7{=E@99XE@vvH`wi7l6zIj)2G3It&F?i8X7`d&2u;rghVaUZG*%K
z_ot68Eu^IR8Yu?lBNu@hxs~3&6IAlzg;3(mRb7~=%q&Xqqy7i}v*((98jEwf)Km>C
zY?Y~Uqu_nfTEq>78WlP~xZ~hces7$%c01MUA!{B8BovUV3HuNH9F-M7u;Y*R)B&xM
zozE~g_b=y-zwMa3il}eY^P^XhU>S^WdH~%l;<w1%JT?n^GwZ_E3w*d}hU)OW?;Fey
zkk$bla@lV@`tuAj@>Q*%!O6)t;`Oq{sA8Jhp_>mkw^9vh4P>ou1U8+8Y$Qsg9+XLE
zKkj)^l6*p(<q^&9SkYwUcoXpi3_vY@JdqC1uBhE7=S+i7VmG{5kw8xN3>Y!N3}+r<
zg2i+!3TYe|&){eUx%dAga_XbCcoB=6KPg6A4z{jTx|ivl_oaY)M_U!*PSs8q*|FlB
zmmlJN!VXq9L$LVK?i8XD$#RhJDCx7vo<gUCd|FWKOIgz(pnG{u_k|4N9=K|<5hD>+
zxo@T_qhhJWn|MEnzo9crbTT#}UK|`(Hnba_>jXBz!PdvNj?;)UVIJ24;XRO&cbw}x
zHFDP7Yc;2Yv6+D1r`?2)ySaaPM(RaFD4FoH0(@fibVa78&k6AG9rd92lH8G=eq?%X
zejA+eO!zUH>Fw?}2HKQC_+hhmwLu-I)a3G7&k9_`ZJ>R`-Z$E+<&s>Vk|xkr0A?9V
zyh1}0(na+QJq^sHo#(O#-QNww<NlHvOq~r;-w-;8(uiHoEr2F+r$=PuUP4YnTY12;
zQJ8Pr4{q{<0OKg6h;@`a1td&XzG~)X364r4n;@9Y$C(r~h490qk99A%V@B_e-Eai{
zY^0}S#1EO|vCct@j%%<>kr>Q!a@ub631bC>#I~)lA+g9N7<BtS@wGl_U|exe@4wE8
z*}>Po-sFD6LxNzkvoiOVvT6DEWR6trgj!Bc1Uo@XwAQk%7P7~ozc0NA>Ot8qQMF()
zzE&;LNCp#dL_BEl>}K-hY5!fejm@{*CS2^K!HNM+V75x1b)w-^^Wh>u<PlXj01D%l
z0ai+|vBE6w>RNT%{vrDV<cvdt=X7g=m*(jpDrCb9MNU23^pxtPob4QrHh7*1_F_Fp
z+CdUhnO}W28R=TL-IWvghjXC7Xzq>g!^S0r026)r_5^W3q#=)t=2hTI2$@A^F!sKS
zSS@^SP++ey>>G^UO?TsQEcK^o&*^iuw{}6u&=Vq9EexooE%i9~X6;yh1xSVD!6$2^
zj(eOPk#;NGo*-0`yyfmFa>S_-@Rw_cC>6uBS{l^+Xov3UWwA%HMWWltrnm=NWHG$_
zpagu;6lgn)btMes|La$t=|`}K$Kp@scaV+0O3tO5srEL7t3Nd{1l&mjwOG)RRI>6L
zU$h1iJl!ASwXi$*BY597hYYb#Ai97?sti5*L&Lxf+q8afTN|-Yk&_QMRd=K~GqEx{
zyewyqbsAe=@u@*FfVwHoub4)esBo8DTz~Ru;9l%q`Jjv6asufl6u1uI=_Qcv)i4Kd
zDyNr$uKw>X7`y+Kzk|jwp=!tE*YjaW?=Wgb6&4H4hpkMEr|`FVL2%wioQ^yv1_*hE
zq?=fo8~go|`*nJrD1fn){hClYof&dpxNtDka6?{X-J*h7yP{woAc-d$A;H{+*&@pz
zJ0j64y}F~ARJaCEvcAYTt~^_*zo!aq<w|dKN#5UN7w|{amnfF4hXL9RgkvLt+9g9V
z32+S9q{mf?`l<{CHvi5#W>u*r&F6&N7ZFbgXD1e0Lv$W}Cy^4>uG<AWtZ=fRx>)=O
zJ}G9luzS|nAB0SPA7gqZ1P^_4R3KOmSgg5%N?@U4<~wrf?BMa(>K<8uR9o`G3{Eh4
z5G2RuAIwoONOC_^wM(LjM?)j%VlN!Ahe@jK3%iK7Mfbow$AuNDxv;wz&|HHedx}sN
zR)no%sa5vOqdX9``e)UgoWSOtVBus73YucLX=9dP7|x?H21FvTrgObc=QAQwfW2@C
z0lJKzmwQ8N`7sp_={ZLx2sDp})X7aNpbc*;f2>kj6?PMbER(R8092M!8Q8sQSC!WP
zSI*q6g-`0sO-iW^91W(yQ=ppB<TL|0S~v5F5TCJXx(JD);LL|l`d!xo1IFt0hFQz6
z*KDflThA{AT9Y9N2}Nafiu))N;7pL*ZpVdPX>$i<;Kzzr@c=(oQE~vE`8O88pTi7n
z;sZ_)x5rOTwc|0rl~JjZZvmC(29{su_+?ggZjeS|28quh<^;Z5U|&@q>qJ%8O}KF&
zR%FkvtS9&(c?)0BL!a<OqDQ30$5&HM0ZlM#(kL?by!3w6qr<<{NxG=oq%Y@bI?Ub+
z#j(7ga@WfJqJSiL{JXLW8<2Ss&}DgmBy3ySy*!^%tQnOPo16KN90mxVVlac!AEs`P
zlQL1^Xd26^t_X8ySRc9^gkN~$#76LOLv=z)jdY>h7r{2Jg=OVHl|dRe^KsZ~MW{S)
z?{*3KmG!W_z!jmoK>{Ae7BA}esCjz{VCJ%trfJ&m6WB>^y08g|gJm+x;wTW8!8Y2G
z{E#0D-`x8vw-Uk3x7AS!t%~ltHYEq1FfeG2@Ii*U`<Utnf>0w6Gpja&A45BsBR!ck
zFeT*8K69dHqqEv2ZnKHRDF(u=a1;F>=G}Y8C5m_m$!$8U4ypfvgIiVttO_bp(qgm!
zRqb3!)I$5Vj8hXMY%m5aM7SSxbN@;_Qa|DQj|^!-JD@VF0M*x0l}RJ^2{YF?mXEVp
zntiB5i?lcj9(<cOA=XO|4hG9Ufk&&U(_TDJ0aC!G=Kjl0jpt8s%VNz7FZ7ms!0UTw
zh#P?!XHE<O5YZ;O7stwaq{qxH&r){M!#-fG=xVrWfczv%<$XR9!1~PM&vrG$i@4f!
zudz|U)UPAz?TIYegg`+cOC)J~U0TkT{_|;63qs>bW<7;2ZAT6<2q=QiOOBk+xuaJ=
zPedkU%W`S+c(={$G#gm97gF*_VnqwX(NVhWAog431BRa?SKP6oG3M7Z;vzxZC&=6v
z+Hnfa*O|SUUJuE&57A#9{1LM`to#9l<`vR&E!ltzEoLWQTu3pDA893<J`2eW=NGAC
zbCP_|+A9m=7m(QznY!(Ho(!f=fv6A95tq@>jb_&-`76aLfHLZNDd^;1xPo+n;!{$z
zC;6%UkQY?2C%gL)K3M?_D|UL^Wkqv6L^f6{jP2-ic9C-w^j{5nNJ^6r*HTlrl#3Sw
z&f_eKk!9V<|CwAFh%B^nMxtvjnFoZ1v4Y?JnCCAbUYIK%!a#UjT>_!~!}{w~j!BTt
zvr~vvAWpVhtXUxy)a`XuIV;%XBxeHIFrNEgI4=O(I5U+mcZI;NrKOY=RL^Ul(OGu#
zyMr4;26BHCitdhW*DjfrXr94*GE`{&yIkU>$P374r|)4a139_B#cg$?8#O39y`gqk
z{m>egZwK9{ygP$kO!{2nZ3o9;)a?(W{0KY3*_8BKLS|haI?M9}vnf+s$HPe+*{#q-
zwn)qkgUNxMu6|9U6Z?{9OP8_K?%!lqKZmG4Ciz0UbJwN<lwAkfhxl*byP19r$d25d
zo`<Ynum6kq4y6%qY4gzwAYRFUpRr7!TeeO@Hd#bKtPXSc7g?D+^=dU39)zoj{@#tD
za@3c@Hvaq~5_K({BU&K`{UMg#H*nJ*@@aKdfPAQ^LBwnWPumy53aBwIXY5u3$ay)d
zyC=z+X4WKqc9bhrOJ{`SQfL>vdNZ`#*KMa^hN#~<2=&@pG4c{(g@erVB!yKsCWx!>
zMCA-{x-?IJJ>BsZ^j72~!0j$S)E}xPsYVxk*M8ch4%8fREV`RuP(IxjONh!37Uxwq
zUQ#z{z2)X2$AO$CZI_Tu2(vlW4qS>`5U+qKOYXRPAWj$!U-p(sU2oIo9r>$pU_edP
z<LnL|-8@|bJV=BRB=?l`IS$o_o2)pH2%rqSV&0yE;+I1;F&EtFum}0}y0m*_f;;jt
zNj4C7oRQ+P?=5)EO8Ntj@y9IH4N_b>xN7PQOYbPHiR*G!!I!yqv=ww~?6cfJj_`WZ
zz|t4>c#c1uhp;BhWTz7_?fYnXt&o6{N-@mlWoUZN>mB?-HDDYajcSMChu%zA#cs6K
zoziM{g{zX7CWL_W6JI2zMJewJ2{R7l3x%^kQyMCnKwAU0?z_IU&0U#y`LDLiNrlrB
z-&7G+M_s^%L^CLR8wIgNkU39)`nD^N)+FZ)fkzjy0V94c$0w6MSJ73iB(|W0@@dmc
zsAQoq`-2g3niqjv2a)Ehaq#!Jn}9fwsWX2UfT`nvK!b1Qni03Ul-xhggz`l|>Nmn(
zaYB_ZM%FIm3_OwtcjeYQCzl8c>Kkul=}-c8W$Vqv-?~rR84nUon$6!Ib$1?vJAVq7
zoO&beo_JPTM-4<M|M<P3YOtZS+kt+*t1Li~k+;)11HQ@{*4Bj_5oH!#+MlYE`dKQP
z9g4Lh+xwEJ3$&u_IN1SFkhj-;W>6RQxE|Pa3V427S^+($+b8+JV#V;~?7@6jp7G+~
zzY&{sJjnhPyWVGc*w}2Vh(aJQ5rm2iP<zx9&07#Q%DZoWN(zPtxr$qZ&HAsoISFwf
zY-Hcc4V5lj69nWkTwvm3asKg}!LmEN9B>$6Cf>Ulw{P8;f5k4JutkbANf-F8#-9RK
zY-X#dRI+~Kt}ZLY04ST%pZ`%U9i&=7TrB({S=Pb?{+qL{WK<fUR5S*dPqsoL^=x*$
za<=7g;)3Tm!eR32UJ$7FdFO`pgzhIN&W%{3>D{yIEfw|<Axf;wwJzLFvF=xdsq+A<
zpu$cymRZ0B!HzvNy6?A#{GK>I#x}fw`nAl5-V@)1KjW*napMCTzf4;lzb{dA?I<Sd
zw~_eUZhHe?R*~H)C@}<{4=-ZyqmQ7P(|MY>`Xh4A2ta0=<w2klTU`}2&#>82i@asC
z#eWY|XT}k!rve*rD1a{?@`*N<JPit_SX72l&8`g9m}nUOjp%?#0YT=P7G6xy1bEC9
z#NY#YQ+2g2P5?a4iVeAzj_4#d!ErS)Fn1cjq$0iVvZ_+NtQ?&jD_P*M$ActDy#?`W
z_%TK>_b7w47d#ADK6tjUKlt50#wrRVcmAAK7pY>HLA8u+t6+K@6z@{x{!|Ip4mp#O
z2C|>(4B)_qY<bw&1XK~V5!eG;=-W}8%ni{j+l)y^P$J;ZaW$#S-Jc2Y3!+|=wNoj&
zyDd20!v)X3MXu=XOf;MZo%>lL{g27}gfFsIhSqx?8(b@eT$%6c;q{^KY`+x)QeAUc
zi@t$CClGE6#1D%O6Lx3w@4kY#OJlp-(n~toT_`tiB=v36ooMZ#B>6sqi@4AQ4zG*k
zu;S>zvui2v!xL^Uker&xN;<n%4`AOo;A%cvE$P2sUtSrjCkTOF220%m6ai0v1W&;_
zg6?;}Y48~~SXgaZTouY6=IrF+|8+*`5;zPK6J7>Mrx5pW7{*70HUIJ_DNO-zPQwI4
zn!U&9fPb91FS6NsGif%n2)c}|cyzp!Ck-n1B5UKGWp&iW)0%zQay?%k?{sxgNRxvn
zYW{jwl`EuzOws+Nm%F1wqJf+pd*psyp@ELh)1L(3sO;{14u9mImb;&qhM#*7GU!Jj
z4qk2+tak&A<-5sUkQd5HgD?NMc4U_iDpiQD!Q9ne)W*}^n0z<>bQ*PgdAG)iBVQWF
zK^3@T8_-yBC85W%LIg3&(_%J!{;s-+LloB041_Dgb{emr@l;kl8IF2Ht~e1-%zf?v
zq^}Yn_gNlV4;vQ}3<9fE2{op-3gkRkPIC@xm3|RTWc+Z&z4U@*$sLtII4-UxM=npC
zX<79{9nCvnxTfL}YPhnWTRspz_4D?}pPpU2b%EdyIRgKkE7IFYeYqjC^IidXq0=Bd
zBbR@eSBEG3hMQv12(}(@ZHo324i2P(QgI?$+pFNlH&dl^ddQELY~OL7N4y{$+_|Wu
z>G+-{k|%O`v3ueZA$a&AEE1iN^{DQ2qTI=)K(Np(%G0c0$6A*io*o6s{lUu4a(9;b
zRlg8c)o<bHN<l116-{oo%*;*<guZGIDy6K~duA)jBW6I-He^b0RU^HKBR9Kz?x#mP
zg!EgruUXN5MGx_!4g%E?+4Q(Ngb*k<N2K@^KhT*gR@~^<grGjr0J;m1?(9QitiEr~
z9i!*rB_DBK+ye297etwBJen9*He}ok;6D}|zYI1zVmW4kJAf0f<5l`VNX{!xBxSDI
zcH9EdlFY&{GZp{C*IP$Ly?tThFb+C^bgGmhEg^`2)TjtZOLs^~Bi%5fpeWsvDxCt-
zDJV#*G*UyCGe`|Nyl1%IdoTC*zU%kTU97uYbI$pky`TN;JXs_kbfF42)H-4{U)9ot
z!*k%P?*(=|-`3v8eOE6T7Wc?g-{S6>a2woI7jkebgw5di7<JoUU(^fR;M{{ad~v+k
zN2-yd*{otKz=Ys#UUigs?82tz2o_&(WX@()vqap9h*v6g3D&G#?-z6ZlTy)zW*1d#
zcY#3FA%6lpKq;iB;n$!5Ia*@EH-;@@0rT^M*T2&P%?Y=$rTMr29P}0Xzr6pUxHlpr
zVDK|CTh-T3)B_n{_PJrq?4)t=xwr3n)BWQr$6vIl^ig{4>FTRRb%#wG+2{%SCcnvW
zv$>p558ZzLUh41C<2@cab`WvU5B;&?B`7wekArLBRGMTJMn4mfT6F%UjSlqkbpi9K
zqmNu4nzSSzT55JYhGf&~;;K>f2;Kzd;)v_A77JSHYE#%O=m^vsUc);4uT2|gjo}pp
z>i#beZoT!jXYikCLTdH<sPFAqOI&3bd~3#!7IIh}{C(H|=126yP)2g&Ps>k{h|t@i
zJPFg(Qh&l1kkX|l$<@Rw!gMc>ujo-xEdR>$o+~u|0J!+Af?BPF7I}hIQSI5vT2{&D
z0nvJ^7CWyikAMdXTF4)$sDH&+DFZ7<@iI*@|Mw<VMdOzOt}cLD{+PM;@rrQr=eF%L
zh=l7wTs6+hI3BNRfM^(?n~&QPr8xY4tI~y5V^<%(fMCjPh3ppJY{cX;(Me%1ScfzR
zZk3`14NQhTP9u|WVH^rqOvb&1#{(4R(8954k&qAkXp49s=`H#&9z`I~*Q4${1fGE4
zB~8tDw%pu^pF~;MKJ~zi?Bb|rKy2^eV~DctC<*@8tqb<2MvQ29`dVL8osEe2#)P%w
z-a7NKmDgdn3gJ`s#=8N=yW1V1g;N!x5=%907itX-3!>l!8MlU-_1|%WpKmA5!X{{(
zoV!eR0eqHL2w<j{)@eM=+O0~LEr!;2b$lUh)beRrI2JN1uvO&*f&PRz$`44XgQ%Mc
z%T8D!7UKwL?LW+FP_L!tL7G8zeI29gOn})#yQ)TO27h_aD;{OL_`dxl8GgU)T00}f
zi(VHO>C+(w?P|i!2eadcg5g!by4$DZ<gQElYU3mp`Miw`7K*CYNoxG{CMPy8FcJbj
zS@M**k;Col_#A~-KaYc|)OTSVT)ncO4Czi{!SLe+E_6}yK-<Y-uL+^6_3x=NHT1!k
z1!Pq{YAwmitOAVnxmDOWl<*JdfM0@6gvPz2k<|#9v{oWZOqF~)GTwgac$UX41A|g*
zO~aHhD-$f77Sgc-)+R`~s9^0fh<_N82%i3N?wX5)U09doxRF$CJzDI}SiZG{y&w`=
z&wl&)nqw2|(b5i2Tf9ioMbFaaz@?$1DLA5T^255%w#Y}&VZ0DuU96uPZ@p?0TjT(!
zT@V~V@O2uKz^9*Umu}dVqCs_fFpWGx=ba9+;W|g(!!?nn>t9CNE&Qi2`-SB(H=Hs7
zyLHm@^z3*mKH_On7WL1uaDNcN8Zed36L0@m-9-rB_j=Mj>^#Zq`8?ipiV-!r2T!_V
zsUT_(2I-NuGgnPdnYC}*)E<s`qSiOwo&4$An8gH$+E3N-diwJWny>(AIT<g!ia3A)
zX$g-X%uTB=?p&X=4iS+==l|-s#}v4MeQ|sGgYe<hyW+L5J(><Rrhq-<?-Ay}<FDDs
z?vY8|C(POfrSP<NTxfVtG(6ZQ|Hc-?N&Rn?OUo+J^-;daMBA{Wc2(d!{?gvfOr7i9
z(vn--7Bj{V3f?81kuf0jW{AOyV&}&I*EXU)PE-}WbJWhI+BrFUL0XS->f}XfXm_)(
z#^@(+#g3g^<uuB4@1A$a<I=z%yFpD6Jd))bTyi%qmP)PcZIl(3C>FC9%R;=5vzU~M
z9+?*sAwZ1f<lG(m$B#&$>8=w<<T)p=N1|TSjRyt2al>tpKjTPNCx5NI#jszk;s#E<
zb;zoWol4a!RGh&rgM!rWA6n`Hx?{DGPNfwa0d;2+kU;2#G6*%K{Sv~5BtyLM50bAa
zJo(gO(tvtl_Gd-a=@X*MlRv7?Nq*AFEhCoqUu7bH5(c*oNgb4w*YJC*)<5mo`#cuo
zJ-t*yl-sn1Zd*Dz3{6J(K4mtjmSkx9(`L|?k8Tk4+iNcA{pG;(WTO*jF^wVE(!oN>
zp^z4wp^FthlBgGUo!W2S=Rpnx?u|E{!*~q)4VQ(6oJe4lk;ToMMQO1|Q{;%j9hsqa
z1<=m_KKQn~X?$K%nBaLtZG{Ih@lrprP>wQj;Ycx=XYnuks>+<_J6FFK!waZNe);Qx
zvQ0+7ToHYL#P#=ipP$=Jr^2p=^ON@bx0*jCU)E>o^C{ypFC4VLbSXs_80IsKnS@SP
zz^R|y`pZLq?Cf;H^X8+Y5skw27>|?tDQ&+__7%-$vA8Yz{N!8tP4M)5nmHYcPWx!P
zWcS)>b6w_p;O%gaJKyK@NPUHAbMn>_UHBt+(F`p;ZJGKCebTV$eN|S)a3kA^l$TkY
zFZXY8q!&uM{dj}OitgNwvHQ>1)|C!sM$)&^A`Bn<Cj@+}lf?%ux`!RicKp}c7%?Se
z(~S!ezXv)`Hg<)@i{=s+iC~nrj=u`My$Ozt5~>~AAC(K~mp=3Ew^Jc=#f<thjCIGJ
zJte4uVTpQsRW75QRI~DUVWHpaUefqw)Bb}AkC8^C6V~5G+Xc1Rd@w80YL~G!FA&(r
zl)RSiy-A3iP&JND<^wnSC$Jkw2Z{!16if9c6m*Ag{<sHh2QO$H|Jgg@jyyRMF%}(c
zY3wBMvE~VK+8QoKzArTt@-E9D)Rcv9OubCu7GBeOL$qT9W|I_ibQ_;2a)cyG?9>PV
z19tt(wv7gu@<V4m=ertx;YCII$)}I&9o3<ceETYUJ=INgOylLkwT)j6h_f91%&jK~
zmeS|itFfVo%OENyh}fe(JTy5eL~c_>@ac6@=c+*R55w;aX&9Z6Yx>lnOD^ZF^@b!H
zw{1GuUSrd{OYBKrIw_XKDolJ_c{g0-uk!-av`dg&$mqH8tmhWt4wZawoJR9_0SK5u
z-*S-8(HWmiP!Ve#_4#tNhD$e!A9?MJZ_J60gj8NZkv)}Ih&tXS3hkNZN%fmBt5@<E
zwCO<mecfuMODu*}ml}<5jg^NGYC7OJ?kiHY=tVZ$Hx#s%wszbj(gFLfu^R1kTz&65
zn5bt*)-vij8<0-YjHnvx_us5=mFTBFgw+U5rZmfZ7|LqbQK<D22Q%{&wp^oa%D1oJ
z2`_a$2pC~VAUoZl{_sC_*qg)*WhYX}FAM|L(vYsx*t=FfKb}YW|E}AxF5O=sH*p$S
zsra}<dkv%_Kun<t7{%3Uvu5GZTwzj5>(=hWiFzc0oSA%YRBM`$tOGM;<u{9^&A@JN
z{Ob3$-3*r%%26e5J}KmQ;fmc?yyRP6;|OuT%#*BN-OlCeuddObSUb^mTLRH&-A{zG
z#RsGlDTb{a%uh}C`dz1~RRSi=V(AWR%|NV8YxUuH$jy8{1cE3leMbIRne-F6hxTQ}
zDA{q=eX>!k%svV8UNCuXC|!-t+r|6`caKc+9|#qIy7_;xx}ERi;hPn+(qY{P!`3Td
z1{E=N`b{=l2^#}nvd&$AO|5lRtn%a@2&*3#X_Z!QQh|`|s*~tW^)xgkXYh}Et_0hc
zwbz47CM9)z5_6H*+kV@2D=m#Rk-qwO0|K$7imkCH8&0jBj#wMpYGjXf205vla`deN
zgU3eLQs7e~qmzk}^1Jbc@AY+ASDK>Moxj#k--^RDpnr{Ha!)oYuR0YRcCi)!W^bEN
zI!MKzEDro-psg?dLVok+lU3(|3;l#AV|V(SS3c#2NLv5aeqw;@Mmhssh^Mfu17eNi
zH*=hY5*PS4k{TDUd)Afj9Ms+Q4*)~5{d=bztdgobP{CbYf6unL2~$eB!`6UIq-Ar(
zt_x3-1#Z0K5AhX|iZXOs`m#eNK|i(eSv6F6?e===_A*+?paR{vZqp%oP|pn0d;nhl
ze5kJg{&V@U%-5F{e~u<+O^8F+>qox3q~3P7-D|mG%s{HD<SG5B=XVk~4+&78k~N0u
zqF`i}IT=ZAhO?W?>TcSDD*H*=lKTCKG`hnyxH@oA7s9efZm2lk`2WOZB(8x&4Se>M
zHcn%79^sv3#Hd^s8FR%Xce=gmrI6pLzAblGnNU-eWv4o2wZF(%IbKw8hCo${U2JR8
zi0Vokv;TUxUdj?*^VZZ3vZ(n`$)&N4c0E=pQI{Vvc#^;!9-p;TP^6QRPlEUfJ1V7<
z76)cZNHw}Yu(Uza?}VeUt+)8fyfT>sVd#3bj_Bsit?K?!5r9_ne6!&w=_6EWC|%Ri
zedIe{gV;3%`v|yg-RdG|TwzXbx{s|RA_2_)tB;^*=P>n{{4=H_x#W&<B64cln{JII
zlNONJe|fIZm~nym9X$2;@c?WqmgcMs!v-~2RBmrf8k940GtBq+9`;PJzN+y!J_ct8
zBaVW9gH9ErQU$Q}5RhH8*~9-{fTbeyR-!~Qo*ZTWF8!=r5*O>W6JA)=-&AcnmCiUK
zVc*;+&R6|09pZio=LEFQ4GeCve&Ktntt!1bvk}Vgui{8p+Pu@}jN&MTDe6oNKb<_M
zuiAF}r#s_{@lFxP3$8z?J9ArK?vuezmS~!(r*>X}a`}%n5s-Y?mhSZ4d^Z5)ilPX2
z9S)$3nh$2KNH+*K{AN92a@6zh-<@eJh%*p7ljsBC8e>R)sQ=c%r8Tx6J>y^SHwI47
z(h*skq38_BBqnC(iBI0$@?BT|S1<`0`Yxcw`CU86BtD599eQe8<aowzG-?&L@k`!h
z^>VtqyCW;&t((}wNdQW_pN~5R$-Ok1Ey6C3sFM7NugdS2!>)}xk9(g)U8<q04%cXH
zT40u94%l*%q5+<1!nl#w+*bN!+McvDL%GMtP`9F?)3iLo2j;i5m=U6rdQ!Hrc7p!!
z>l|kF5l<z3C45yPqYh2)F1B#Sxx`uB_wdx<neSheM5XP*z5gBvGeisAa^qy0y&sI8
zp`pxuN+@o#uc{*!B^ko3CX44Oxp~zR%VON1kFrzbk%V!oGka~MFb+mv-EvbC!`-%x
z-N*p0+P?WOrG6MWqysY+)A`zC-+OV}23f7@yUN$ii$e!cZ<=HT%G%whyUCnPr~(RU
z+)kcJALlv`kvZo3x)1$d6W2EKS~N&a=si-RkMDi_HB#d1W+Z*<K8x^Zy3dZ4klSF)
z-yY<7z13il89koa9Xi)-ySTk>7dEseK`tQhMEr6xe3wG9{Ms$n4|`!<MQ?NXR4S^<
z8s0*hG0&{oi342MD!rS1|1`TZKE?hi4fH%*+YMN&<*-7X?DQK^V^?2K!^k8o#`l%7
z-m-l;;RTXCS*DHahk45L+0IpbRTpGez`-OwS=!ZLtHj#^r`>$_e!BCt3QHe!ntIst
z1Ha?TVI-L0&{5kI6tDHK%?BNEqYq*Y0zbK%_#F(yUNUYvk^>6#m#F}iGgxexUF$2k
z8|%8?Pxks|`gS@PKV_OTJw-;M4O5cY-+4o{PIcwIxzNt@motqN!mUXadNutM8?(7m
ze0pKcd(~{n&%^LQ{){bYPc5&ZhpI#sR(;Dg`@kX-opOETFpszY+pDMXiu_AjTEO3i
zfdOCX)+3Y6TsI87eRY9NmdqGY)VNB(RSD--YaS%f5j|tgK<RZHoPpW<$NTj^(GI_u
zNKFi@-algJKAqzNUFCHCp;L0{VI@-{Y|3C?=(8`Y&2vgi_0TfP(q7&l_}QF0w0jFw
z5u^h-RwteQPDA~z%|=_t=@i37zsRwF3Qy7|urE}_*pvBA!Pkc>Y4qcdi}j5^h8zpU
z(MHUCN0Cl1oT{H;d`P~PGKLYI+8_|u!i{WvVa09K=;OZYhG8q6%M0sp!R7K!P1F#j
z=-R$2@j$L+WTf9#`>$32$Awy4*|>-iDEa}F%=aFDCWq2WdYHYWqO<geqAfdhjja&t
zJPU$}`eQInwVAjM=I9&lemf4$8IdOOQyoGPQrCM@rHZHR?M)~UgGK52ub09!Rd4<W
zQ2sHGAg9~G>;d;0uu)Y^*vxQYXP5uSygYf+f)dIJZQlQ#Xfcd=H*7$f=!ahHaU+Cw
zakF?i$?#Tyka<sT#atn;|0=J5!)l!K<{YV__U7sp9kzkj*V{Qa2M28a#Mh~cug+Yn
zFDLyQx8a=x>WG7GouZypicj-H>JtCC#k^N7se1J<6az2|oev3`hAv;(pRF`bHi%`{
z`75(5po#Eo+Vn<#JGa~0GZ(|t#Hc;#Z(>#V+=pn;496KIBb6(;lUp<*bm?c6ZHJed
z!pWX9Pc+@(sV!X4sm@7M_20C@Q*z)bHiqEpN`nt}Y}G3-fyAK`mwTCL&TQAeF^GSB
z12D4-djLG8P~K5-q0&(10MVliMgD%J#J}zlmo!SNDtP?Rx;K>xAgPK&@8aQL&+N2h
z+0BL%ViVjy%<O?Y!*osD>C(P}u&y%JNjdOalPkQp#^lbDu@|SmN@bF^Ho$<7xZi7I
zC;V^B@N|LyX`&u9U<t?zzy5ZO#Z#&Bd2!^yFO*UVYgrQ{UnDkr>WQ`q1xUC8;ZcF`
z2ewnSR%4r|iBHzp`ayV8Y2{Pbu4UlCN@)mSFiFXL2zW9<PGYUIJNGZpP?s!ZNLZ4u
zq3BuCO>u}G5JN_12YXpMiU$`OAcFGy&0V`<#<l;6kHc#Tm;y}wM?Lz}kO|^}+q0)*
z0$mcdPbUq6i6Edp__h90zT#W`z#VoFKS_pGNii(iPi}5;bm#I))G0mCNFX9k-Cw6_
z%}Dq5DL>!s)F{-jHD~g$g!O;?Ca=2Xjg3Z|22=gU4~0I!(nK4C?a)Z#UBb}n*~<}9
z&eP7z0b><=RU&>EV2Tq1%)JkFrU^Aw00CQgtAr@zBv-wW-!I~7?4C02vGi&0U=l|y
zwsuGTm$H60qs2WvMgdDQYs(3}lVk8tYFf<!LEkds)3njDr}g_SrzB2n2lZIaZw%E2
ztp3$v{Fd8!v9lwTtO5I=Gx;fM%sJ5Om>`3Q%yDd7lO1<loZRR`4tvH}{g8ppP1dg~
z*U)6>z2!t)T;PHvx-A6S#WGV_Yx#u0GOw}4tay2&s6S+Quvlbbx1wmiB(Y-z9dMYF
zalKl+h$bI3a1kWi(t*a@Qv3O)4bJ=jRAx}fEu>;gfNDg3HCr8A*BO@_BpMZ8YwdrY
zF(q_!d-Gf71SDmoxcA1)v;D2oUR?4CY%`p0w9dg`uV+Z)dF;tN8j2FeKFPZfl#G%6
z9s#uDs0S}u)3g^B#{QZDwk~Dv<JDvAD(G5wobGOB@TTU<%o2#-DWZPAJjRet8wl3~
zeYUWo{C{o_Czbld4F_2qFPeSK?>M7B_ZqaWN$;&}>@ZL1+Y!hAZ<s^~hx2i<XGjGW
zC4@{6#*p$;`LYW<#s|el^oAb2RH9F?4fER@RG4bxC%0$%4=&th!+32RHO8#`yKEOf
z&Wvo*sT2NZCz-pD=HrG3$kOS(nE5xpH=WVd`lVgRt2;b)=y%WlQn8i|Xu8`dKC%!k
z#bfwsZ={tt-EVtCuzaZtmesCsn(w9Ie!SSo{V7IJTi>*=XfkHOWZK68l_|Z3QoVp)
zh`0H^P$vB!L_6b-fSN}1UZqCsFXPQri?6r8Ucz7(HIQBCW6|35zvnW-DG-tdH|d+P
zZ#e8v>NZ1|L#ONKE6jc$9KN=<WrSo?gE5v|DG%PQUjNwPC=@f)N&HFCF*Q0#B*nxy
zS<u4{WdH9|i|!0+xMG?tI%6i>i~f?wf6e`AKp0_0tdvaIiVHS@_;|opsWg|f(<sT~
zlhY58`3!=Qt`WmIv`q?FMO8ohz0$1!4vDR#`v>EZ;e>BAT6%ov1`|D5p}V6FR^{nb
z_mjMxt}Rv8dRr>c>R$T?>$#v{PMJZN3$A7RuTOl6skanOag+?LUs~Y%=Y0no50mwT
z@1#lKHNW47)z?R2|EG<&G+3IlH}ajDS-vE1&ssaK9k%XowYK^%h6L~0_-9Cqq`Iw}
zAzOyg0HAQetexMb#2~6ng9K(FO<zl&gh1V#?R4rKkrr(OZoXE#0`YvWi}hlof=FrW
znd*jrzfooauD#u;+b3T$5K`fpaS6N6TT0X~h1!^pxNYylc{DujC+K$^TFw6NHVs%*
zJO<M@mLq7thGk4up8E#EG;O8Q$ArjrItf+=&kd}2mNM3Id@vs=X`RmGXzZ`L2jq@}
zV?P<b0%&;kwsKaG7Tvd$1;^v#l=H@48-iLIf?5%D-$*;yal+iwaGLY9dJjGO75|Cs
zgRbU>rqg1+&-)waL|o5dP;W=+1Ag;k^=787i%b8n5T=pPeyonyZ#88kRAYJvgX|$Q
zybN+oQm%5qI1mP6#QBK<HcGlO0t?RxCXEVKg$WKRm|F2rO6+()SsT`LQME}i;P^Ob
z?ZdM=5&E}n1Tw8*)k`=)%fz@lZHJ;u->GSnGHJei8Vx$n{}If%eSmxUWA-z8jHv>;
z*q2tn4&KIW7Uh`)`7_YFRov2S<bTZeq4$xa7PY9wbYpAo)b3m7FXrXU^pQJtmc5e5
zH_b<0Yln?mMLB|zYAnL_OMg0;YVDsth(2`&HDy@(@-QGQe*I`o+?bBkw$ZqHz`As-
zqBTXu*LJVFKd@1w+!Ct5#o|>O*ZW@0oe~#)F2Cc8!fs)zIdoP9pYEcBVhrZvxoXS)
zRzp05I`J30rrJocy$CRQQccb?-#`HgO1)mUfY-DbL8!b*I5k(+i4T|Pw;=S})#L9`
zC{JziKmc-V>N_)q_3eEab^|zy8*hi-h(2AEJdGLwFlZ5gIySCNZAhQ25F^W716W-#
z){-YS$a5xpvZK2jZOLn(XoDRTQCQlNSmtN99FsY!4BMfKJ_C4BK3D(eb7+iZj4m^x
zcWu~8+X^?B)rwt#MF4_u7_jQ|?#R~RyL?x>R_|zLS6DL9d@@JxLLV3q6ydEj=@1#w
z&3m>F;PejT9+;xiD-xCMM@P$?uJ^qW_Md99<SKA^b9ZJ%j*&rXSGxb3|M5f&dXfPb
z_IMF4W`4~)@7ayNz!mY9&~PW%pmkyT_>t)G^AF;~_8F2G7>-ufpc2G!mNnBJ$9#sb
zb!mtr8sN3H_r0bMCiGT3YnBM86G|y^;!5RdxPCYuGE-VvxRp#+cdXM%&lxe_DZ8fi
zkai0j?)o#*kG(oUln-&iGsU%suJrH`iE+1}<a)rjvbo1`{Qp6gzrgJsEH$9@5i(}l
z-#bZI=(sAQyQJxA!w$1FGl;6(j&m8ckpzVjy^UZ@QiF14dT)s~2`)=75+_r6fn}rC
z>4Zhdiywsr@fey05j^X9`fxB1?}uo2_GgGU!lf<Qn_m(Kw_PKKITgPvm2*(HdA^jY
zWE5Xzs0kPdzTg2y5|sCnMi&StZ=NYb`v+vy9s^r_N2=k3gr8_2S6Mk>)2Z3dT@<Zx
zl58k<3Z5XdbAB>lkw<5^`Ms^~Wdz%FvzT7OeatU$;DP`)1?sr+h2ydlaNF@Nt@%x0
zse<b9HBR~Uy3pZoq_?D$mn`!+DwFfM*QgYpedAyJRk-od6nkV>VVqL$J*f{opr^k`
z3ZLNo&=6M>e|;AWne>sf*9b=mjLsxL*+ueiSMZqN@y8RrTuI(_sR~!v&j%*^+Fmp7
zc+b74v3qQe%VP<+9(;;8oV4y^VoWs9l}6kF^8~To`6dSW6o@jyBBSP;$ru6SloUGh
z(;$uD!~aVf|A%SP%rNouGQrS3{~;SB#(1yCB76?Me^N8=imaH%2H>_-4pk3c2P0*E
zBfi`a?IzUJWx-B@seVo`>@t_R5E@K@GNR}=OV%aj^S&Zv3p7<^4pT9g8WQP*qV;qM
zq3tYD>1#e031Zj~b%Ya7(K22i-G6>NSZ}mm(s^rDY+|uLRpF^x;?e!q_bj*g``i9y
zB`-m&P>!<VOG7T>gIq|bfJ3%ggzpt5FM-s3Y$WkS_qq6V>X#KhR{pd0nR+%L)eMRX
zK36X|W|$?Q(o;KwBP5@EZmF2|-7WgKR5U4wIcy0|5gNEo&Y1$l?Pj(7YG=$%I_2GS
zluvpYm~n2-;uLARG=C5CMqF_RbAYK;z)fVr5QcpKHxuG7uP)An#ho9Qru0&1JW|ek
ze&*6a9t+LskEHqd@zk@6Y*^4jzKM-gb*%824B3d0K9S!$AahbK;rJf`f0EELS*$af
zBh^82)eF7+VkMa&u-wC_K>nvKsP?nY@4}VGQ7}YliP6i#e~jL6)Ju~bn2h7nXa!!V
zh3W052P1=>POf%$4u7TPonLg2`*$yAK4V^a(9Jj8)y5~5k>*4hQcEJOD;x}I6Jx#7
z23G=hB$<h(4?9=qeJBa3Ddb7Y>Bgq+;C@Dp4^b&5gqC!KefI5Os4<~L?pBUb-Cz@m
zlLvLz107MhHwbU3%p?e}B%{*ZL56X<)aWL8B0Y@$9Hc@@+NKv$!>e*(`Tjqy@PGf%
zhx`%tq`GpOZ}mAvuzgOyV!!=Q8}aTg{*Ncdz9FiOzboH;3pyZkG@+V0DC8h%RL3Qr
za0$yRK2n18rEqSq{=$ZiU$<R2Kxu;CZ};IH89$?{wO0Xd-HpGG$s9<f>*h+F-DKfL
zZ$iC(zPs>z&8gnil*aq$^C1Vu^4^E*kzZm6L8E|PFsF(nK|s{j^>LxdOA|f5-iHSP
zYv+IAtgj_`Qk}!rfml7-!~9a$Pp3;LlV()Q1@!djpR@&yoPOAVRsWjEYkVjEm%c5T
z9&)CjfLjG6x_o;R(uvDQ)6mv{*NGExLnUg3lai8_>Ay$Sn+0o|j%BuMYvD|D-isDs
zLG|CYH0qAg@%l{2uQrUVPZFTRW$GG|lSn=_IDD{x9#HIg2QJ<`UT>{pqXVo)y6@st
zij;%x-i#hUVQ%9gbL;(L5rW;rS5DXbdMi}rQH#UER#S?Qq3dOQxT;54H@J_jgUolf
z-bFj<8aBQ1Inr_IFZnCDz)!7l^cQO;|0gb$g-wC3f<})Up{VA4U$eD#cSaufBMsU{
zbPb0@87)F%#H4mM$?pDMTLewz$4`)YhqpC<3{Eg4*6~$AM%1U(bjv~`eseJ@DPK4`
z7bTwVsj_)?{SpMTws^=hG<y%ea2Qtn#HITG<~2cZ4t$}7zvd~M!LrVeg+^!iQ?dx$
zL5R98o(|JBig4kMZ3#3E)YzK@G_OLwgU^s0muPDB<*OHTO}j=Yl&eZihwbZbbrdRZ
zOLMH-LLvG#b+QbHFGa$QK=o(j;-8wXcsMTs$X{J6vQJ})kjUIBB*;-oqnurHY~Gw?
z-qAW4tM7%WN^IZk1SPSDEAZC&c1j+OjTuJiz8hO~*mcYan^4(fLhHceau$VmkHd#E
zXIJ0Ys+kvpu9C9~mzM{({Wz&4M&qFQm0e98G00M1O&Is-2lZ=EEDOr5@yh1wYYyZJ
zTOB+nuaHhUp?hMm;KkuF{iUXjAEo{ru4xU=PXjMCsXB|sE?>c9Le?~RJ~Stx;1<#S
z%y!60ywKbvzvQ1X{}Jq12P4yLT!mhSS9wF_&I0I6--m)nX5%LA@#>Xd_hjUGBiB;M
z&_2fp=J3*f9~+t<*1^pbJ40yIRPmjt@~rC%v|Mo|L%GG`LvA3`TU)WJoN`C_Xkjf-
z_^3mCnqEcpC`hHg({OkD11YJ=-rPv&*Ia2y*R&+(>Glh)9Ep6YAU-063+8u5Z04&P
z#J^|Hf89Gs#h%UCaPOkbjGfqLU+b!=&VZIF*MqJ#GUM&_`CY3?#Z7r&n&2jo{M>tM
zF33^3sBlnZl?SQ~6;f}SXC{wbI`efa>EubOa#7N@WFMaWbqFvd0(6qh7EE?!9PW~}
zR!U=S92?VJzO-({dtyCsDIjVUX=L8UXh+YqWz2gnjeEKvTndU-$jF!vk9C~LCSK$F
zd1r{OO`Rii=rmCFQ3hp6+*+4;{)|shGDJyBCq;1GeMoJV1kst=m?JmI@HJh74y;u8
zuBELnHEfF^1O4}=#o3nle37w{gsM`rE%QFi^#zy}>savwT?NG8D{gnBVOJL?^<T$O
z(`6A}*7oAiK5LI#u7lYuqJRy?ChV1wLO?-*TBvQ_{jX4Ub2_cd7Nzv{v%u__T0ojT
zJFTlPjQ<w#^bqXlDqe0Fky`5f1zrJsy4a*uTn$708b_793P;ZPV~BuCD5A`lzMRyc
z+Bcf|O)9q@H;ZUyD*OcnQSGmLakV!R@7FCf?jgL&Yxg$oTD`3$q$}L4Q~mCp=C~6|
zYIt4KR0t2(#dsPH-wfPgldM}`z2Za+K)6pX5Oe>SK)u2z$Ld^h^P9_*^bzo*`nRJW
zpFYZM>}Zx_oJg~{0h$u%5SkpG{D&3)nGF9P?l&V+=oG9bNq}t<7E(Uiyego8&}^2C
zKR+gC!_E)t(Ltmyd-$@7o)hrlymm|iB>Z+6ONl`-L8CJ}pmHQ~pR8tHXE;{bS#PAJ
z1YV{!*)ByQL&4~l(t7yn+xNEa7;uB1bkj)lD4i4PU?)eF=;yBvMJy9;rbl7-i%UsW
zMZHdX+&xs1gk6315>LFXMEyQXiF5qkIGo0I42d71=x~Yxif~u+)s_xE>w_ZP9MA%^
z-COc&`@{X?e?uM@<yhRA1ydP*$NvRsdGA5On!9Rzru(Q-OPbia;baa8GW6%0w@7`D
zKC5bnj$ns48u+S%mDA|5QI864gBCI;8My+E2eMG3P5ax9KAgDv73BmM5cX)zcJfvB
z!v2wC8+rXIlz-G0cs#Enjgky8IpS#2#6V2W{2j_Q4i??K0EdFV#>la#wyf8A-vd><
ze{&V`Z=l9jb=j^*y#h4PJ3^Us-OU$QwXRrziTbCG?kFFqZjdJF$Hu;HwbYpwxD~CO
zQvF=|uqPh*X$yO`$SCmS`)1kPDkvLw=+eCcqWbpngAa1AOjF$cl2qYyveeA<Sioqt
z;-o>+;I6mz^FaT@wblw|Pu-WLUmXHHGHyyTcz%DjkuIc4HoaFdO~O(AQzK)qZfg3Z
zqd!+WT3Z7oK;s8B_=OkLcp>-cK*?e*mMPR&;L^WG_}^KGV9P=`f-GpjR6};P%DcPo
z?vCC>gyA|Gz0Q%=>`{T7aUb@uKSW5{*=Dbu%!zS%s<Z*wffOsAX=%pJ{v<cQ<_D%h
zn)<{Om##w#IGu5IH7R^YN_&x>O*ebqim~dwpideh?K7CZQ}z{%`>>tl(#W}9oszmY
zrJd#d#ujr`K##>8Dd8<C4F<J~f*7U<(A?l(?<9p~O@CE|O5Pk!8s^jfp$Y%^x$1Gq
z-*1ZGAQ!Y>jau)4DPy&E_v{`vko~Cs5#0`oR_e&*cWm6st`vgW5i|S|DjLTIsW9x&
znoh```+DnftCJ+=i}Na|vy1faIV#zu?@%bIwb9!938qt-IQkcZ($$ixYL{cE`Us5{
zuB!&*QiY^$3YMA8y;sp|_q=)KJNmjtzom48zw+K(;JyM57By?0{c*3G445U{2sUY|
z`_)@yat@$X!TBK#0x-PiWyQKx+M1%l69S$WEr(K`S}#qcpkc7AzAec1Ync8&K?x9S
zyn*k3MNbfLZUGoVGoxKA(b(??%jQQi(2&AE<Ma5)L2a0_Xm7;`85p=OT}9`F2JwRT
ztYqWZ;m?iw(r95{%<xFjN8oK&soH+BnrwF-`4Zx+vv&A)7-MHZMe8l>sAu3Iv7lh2
zb6To01&e$~KUTY0rS)3ea(^p$HA&@R!jR?+D35SFTys9zTj(bl$RWj&3_pE4`jzh3
zPI*U@N0sF~)Y@OYbfa$^S4@0BN1iv`{0{WDoS`8=dFQCSa3iPss2a6Q{difdAw#q;
zPwwNMj4&<wa`QWFjpy7sWY~g;!wGI?G#HF=p84jW=EEKK@4+nuCI?ocbH~hN82g&$
z&|-0?&5bs)(B^|y5q)&{iPuYX6z1y33V14k+mdAfn9V2v$!{(l9AFOaoHPbGwP)~x
z4+cR2R1tXY|C$CcLT@Q!d;4{T%lGPNHgnJ<c1*<Jy?izK#P?vb8a%K=-w2@QM@n}z
zd;q$7iX+eEoNe`GMH*S{U&dJORHCOTReUkh&)KHy#lE!E2S`;<x;x>5=%nc5krUhB
zg&C4#r)d~a0$j1aTb_n<YH=5tJIb=_#C(P+07qFkg2K+}#s_Ri5J3BcpcCe{m`W4K
z0%-nLZ@T^H8bp~g@3ak%lJOm%zTzM~D__@dyO9?<#|zERt&h;eZ5Nu4dYv&}+FRL1
z%iRt3X3LpFbQ;knts2wV&l?MCO5(=!rR_X9*o+#}lBaEj<D&%Xj1zy*f;-h>yRAIn
zg5t?H0<$Q4v!edp7&ot}Hd;X>qm_yil;5e&;U0&{`$V84@b92CP=2k>;%@X~p+uqV
zU|T)z{oNNYMH+Elhpk$?RwXgQKzo`Bi_UGjj6D)Mp-JByeSysMUwm;6lYE7A)YlQj
z;(bHH$)u>Os-EqjYCQe-RwSvAeZwOpg#omv)oY`ruV-~DTOs+eTC2}$TeY;^AlVeo
zCH%@7oG^qwQC8odJ9Tzr^W6Ww-IS>b`Lm<xnqK3S-?e>G;VI(mLG9j(=HQ=~q`D{X
zMd2NN>D85+A}O%d%o#0Ny^^pAis;bSI&MnzYT8g{qv!SSXXomQh_4Bpf4YNw!2Dq^
z<YO=&f=AXFF8h+4^42x-Sn?PpO2LQhof;>iB-VYYsDjmz0@U=rUyQ4Yr@QA+^?_2_
zzz&*QFc=SlB9>8hSPDROUWLHEP-K=~kGTAcB`7E#K6ao0n-VJCXZZPhyy2bA`mKQN
zMfmTds~-7yjTh376bH^J2R@Z5wIIj6zS&|JL_D#moh5^Zh=v$0GugCKo_QORT;616
zzG|*Ma3kYn$eH|Eo=W+)Ybz54Jd+5*E5|Tp^uh%^phWJa7t|D!$m<2(Mcjp0uJf3U
z8y;@4{Gfg0%Cq%Bgo5`9YfwuRT+{q(99=3q%z~eVuBI*Go&hs^n+ud&p1b7*D(jhj
z<k=TH5kZcNq$N&JbqQ8*q?VQe)g*Q{MhGlU2CNjLdHpNAMF`*I5FE67UnWJoK3inz
zzKbZ>`3xH(4{tV+@(%<bN=X=Z2*DUzwn<;~yK{lkKQ--F5~<))!Sjp%Jb4OZQPanF
zgzz~GsS7|;scO(ws4J=6)R*qzA-+HsP&^NN+DO5>-3a(4+**px_r8qXDu|AuDtg1A
z$G}l_7Z0%qIbwX}q%)tuk>(b&y8&KAE4@uZI6=;dCO|zRN(!Xkb0d|{H1lS9<RC#;
z*R9bXclJ$OI_P^xNW|OywigYt7r?WziY%*6vfia1>a;G*pGUlh?!BR7>wiiCdMHmf
zz%!GY9nFoGcK@2%RfOPeZJGk9FnxSP-fJxyPN@gr4wE29zh4q|Se<?Imt2v>miArV
zT4Wh%yDT`c9wHBp?0T=}47w7@cP=gYSij<a`<^B016=RKgS;Ve?xBTCUU~Wxc1sQt
z2<$rDjFY^}{oNq=We7(#<1}LxGoN#4=SK#7=q%AEhNoW3)2TIw7UE~61`G)wym9YZ
z+fKM`26G(psg3>LvjCXzuOJY)86O|2=tIdlqwz$}#pMZd5kZ(>dlNeMHjME(biKv5
zE%gPlW;4IU)LNJk&q!BX&9%rcg+5@Z!lSD(A1DLz{v77~P8=HY_3SaDl5vYp$fRBp
z7ncQ^TGvd2nH=`NpHHM@Mh-Vkf(sug_^n;xX#V1Q@i55;lT+jm+C6EUxf80RFK6G{
z4@EdF1^M0O>JJt-?$$_*`x1!ABc8w}Mo<E+QUto;k$?Le@!t=cgLg?6C^*q@=t4fL
z!n2@$$VJf^*Wb~e&>n)WX`NYvY0-VQ^bdxAC@KTP{ZKq$3{MritDg~8mRnAV6zB;*
zp$q|fe?qrW6K>2h6WvmDNr;K4y95<6@bR~91Ri9F`sG2&XLOitI#nEa#`P!N6Gums
z@R*&B&IlydO-m)%GTttuoHYnM{nI5*es|0^Y?EcC1g<C7@l+=@_3BJIo<AFEh*0ca
ziw;5%6A#{Pozc7G-YS-4RQ?<f5&_$&Zi^0MxdOXL*poI%IgZaj^MsfM9L|)L-2G3t
zm2}pBA5FeYC^ISWW#^mh;~U^PbvPU&@(lk1gex6LCRk{p#6%%9hzHVyTS(`7@)zeV
zg3qqHP;Ty)jV+pDuP~!LJkMOZuKv#yobh;``H2O0xGtXglE#F~2ZBencOT_km}5TQ
zly=VexRyS8EN|`7w%(hW$GEYCnWb5uv=l#+e=}lPt$%<@ez+e5MQ2~MtrNe@rNQ;{
zDh~LPukdJ``+0TdEm*8xn|1yI{t2{3akBXiD|ndt??;YdaS!1Kf?ZGj&EpDaPo<3I
zb4Y;H5#jpIK%yb*ObT4ANpUYnC4ho65k7{~dY%oxaN8`R9@<b@JOm|?z>yyzPy99S
ztC{uUldtbZJp^j29aKM<R(x47<Sd4PHR0I=9u8CFdI1MFu6gUeg0DcAdAN+?)mfma
zl$`fX2tWH0q^m!2<y(6%OWboC{678#g7;V}a?W+r7tz^WFoB<rmIZI0U5iS_V_mb7
z?T(;;|NEG7iyC|c*#|QSiMoD2^B&~Uh)~z}&&KZxvhrYA*We}(x!<fq5emdI{?(l4
zE`pVYXD7yZ8_hzOIvkTOc2mGxv{|^-Mm<cj<nZu)0cwutwHO?-mJtAyRmNR#{b0BD
zT-=4f-)IIaix6}PxtF9g%@ZNY37sWB*b6IolgrBiNOofwBZg>E=e2qgKf@47RJ;=4
zC(pRg3Tmp$<=!S1)p4qPh1Q5SKBiH5N+JJ<rNDoQZ-@Hb7|j_WfIT5_8xi>=&VmpA
zXD0OhGfzB#!Y;(iO^O0Fk80O4eqN1|$t1!lEt}YV_0ij_iUoW=w_dbW5CbSd1fiS=
zK7jty7_Mg{kcl*u`%bhsl!$8Pv6k631O1spKp(?4uCSlKoWcU4Jb9!ZRz%!3*%~*X
z7s1`!gkK|sz}}GOb)heU(3_@z6R{h`;{IaDhpRYEqmR!$Ju>bR3a)*$+Y0&io-&oW
zvrXYF`pN4Bkz(TRjxj>mXiPsMVzh63y?1(RnJkEc?NbdQq-99RcRfd#P61~rfe#wl
zKgD!<z*wS6g7|csxjn<P3cIGr0qAQUsyGMKuB8L{{ztNA3h+im42v&qz6cVB81_5o
z@_i$O@DXhowSLvVstT*&Rf|W{LeXN*OoHwu=i=eC<Qtkn^`jESqUA<n_$ZZ9!*~r-
zU>m<Tam<>VpWXO3dAJBY0#&UfJNCF5#xnB~FYp{gKCB!O)CSp(7c~^KAOZ5}HqG00
z>plf|$SyTVCP`e4&;lP{m7svq24%Ao<p2#KTpm9(d*uxn3V>;u$vvua!q;cT77sB9
zeIF3}tq0P>7j;=!{9cPVA`eT%rIdVUw6Tyu@J-Nt+-jPaEC}!;3El@J?&;omhGEDP
zzShH-2Q3c@3WXTLwm$y6R_^!nA;*KF<6i~Yiix%ZQ7tC;QUlmwMlm@S2VfE>E3A6F
zIDgNTNuNC<yhW3xpv`Fa-4({RZPBdzc=*jww~XTiR#NnCq0BrjJ~WIHU=62t#Ookm
zh}J4V?*7KDNCw;m$U^FGJH1ruFtU%9D3W3E#DBKq%CQs#^Ww^^A5}g?Sysl_oLNhO
zHM73yDkI9RE-|N$3kGS2)b&e_2)*HY_!4Bb-KN>xM&uO9Wbi5ArWrtb?~XMY0GR&v
zirKyTva|<d{&n!-%^{DX7bm_h>RLuKLPMZW&|);?a5xA2u!QQd<XPpR<|TLczrUHY
z_Jrro2?H~*7&KA+ewrIh$22QG6(XRXhJ459+2~8bK><rROD%i|M-mkS`m)L|T<g&=
zv*3Vf%ECSIi|nHp<MVZi^nLJc&>x8M5AEd~y6-^AH%x+>@v$RU+0Nh(;DB}5i+3gq
zooUr%f!$j!6{x<(2GIgsG>cnUS&ZT(huYUB%4e9_G@fMp?AHSQ^O@_^_)rCo?-G_S
z7S3ubL`n$q4JDRUp{}nE{oJwZ*P_bdgJ~8noO~X+7yD3WUn^&+f@=nbtbYn)bS%3G
zMg>L^%vUhEO9nr}NR$|sN5I>G%vfCPK~Zez0t4}ay6_DSD7@WTWl6+-Kf3vi8v@H>
zAs;gBeS3569X07^KEUc&@%bFBq1}!Y8;0<avaeqq`+1VqS^w2EH9>sYX&${7>I_gp
zN>1}7A6d<HT0|G&cOCUw?%Wm_J)vf0>GK)M4+E?jGIh-Lb+NZH3|*)J8tKC^)j`Z{
z4@Ss4<XH6KBU3^L#-Et&C^!p)P_m5UnDSwXg}*T26c~Wy8s#3A^j<mQWe@{sTpYBm
zB|~znCH$rSJrG>5!9P&oHaezeLZ~4Mb^(CU`6y6VTwCqnOWXfCNGSK9MHoNe;$IdI
z0Qs)*ZVvI!O6h9`fVgx+Hj^U{?sk23Otgz^I0GYUMqo|fLHC~3f=4dU0#>ltP`;f)
z7~Bx7HrrLk2w9-cbHSOYh_r!Ca}jPuw?(;?kEDoA;ti3^BX=djLSO-Flv@IX`_3u6
z3d+Z$t5?pJ5B&$Hz<2Z}{=Sl4E!uIvg#^Dg;1W${clb-kL8@AKi#u4vu=MI?XpjNK
z5=W2vi(MT|9N*?Dk&?`O5Sso>#Ht9J=Oo`T*DZgvc%Dbjiu47X4`Mjc_aZr%Wu_qr
zx+qtPHeB~;BI;y0qX+S{-`(rF(P??n?L6UfNFWVx5#HPWG)y{tdU7n*U{#m%OU^J+
zZnYhpWHLzHw8>;BqAq_PbPiJY2(vulnHdA-$k9UTUjKrw8<@sWBPfZT%j&<xEB-hm
zj-0RX{4cZR%ZDL?-ob~&M@W+8f$0wcGDv?f`XUHy#Wmst<ASR5WzGvcFK%3&2?|1y
z4wZ}Ol4|1X!CBn#C%-yOG8W}qzht}?1TTRYuJ^^K1fRK{Ah;}K+r|PXoz9vpw&(FX
z1^sCvv>C?kwU~iZFqANqhrmg}g13Yz8WP)H(JqnKomUWn=%kvL1J+){!;-O|HzO%K
z=~|8Yb_wzbcc40Avqy(kz>C`BZ~5wYvK9rH?LXJ0MuUHFt3Z7qu3{Ca^}_@1f`AaU
z0O%}`cFO+nV)DE&I1LUnT(|9qh1Ha@m!5o$=7kbb=G_a{BIgC{+!d!yDn0n*&g$@{
zemR0=m$F}-wyYY!<9Lh+CcU$KHFkDqXNOndq0YiBUG3UkE^!D5>9u63-lyBvu$1nK
z2qJ^j*<DgUf57dR_i*!NPzpF+jUGQ>8$|#v`3rvHJcMCu{b$DmaJCk64dB19&{Zx^
z@IQK?P7Pg!y3tiHZ1I~IdIREB3w0ZK>{?cDxT9=y=Hl|6wNOba-uckgDICGcIDB=c
zDToiRnmcU`H9{>W)1nGK?NO14OE_E|{Dozg-!T3u#MSoOog~g}ejqu+jNqdkRDvSY
zbviceS_(`CM*fi*(Z&sCf5A-yaIEm`4Yo+(8*N1J?OgyKva<$Us{WCG%;s2bX=`sC
zs}5}MI^5)yYUKlC3VA-bNoRKm6y0c#oaZq*m;L&ld%2ng5kB+{!IO_~^5tI!jX<F5
zzDE8QO!#()JPLP9Ys2*_cFS{Tj19T73_PI!mTL0El?2A~Y_M1}Fp`>hxx^Aj?+<D{
z>n-L<@u7ymwtdMSXW<7<c;;ciqimcKluJ)jGTt45uc$1_T(Aa=z}Yxcfh1uoK3d~^
zBA?OQfoM^sDM($AKT4^;URIO|G6q|g>aKglUEWFK`(HQVC)IbOxzWw#;}ym?l7KQT
zLfA(Hv!sQ#-Z<ky$@88Ep?sgCoYdK(IIlz4$iMq16b^$sO~1e)OcHk?UWS(98yt?h
z7f$rOSU)%(zs$8>VkIj!wVUcvmnxj@BYz;3n~B9%H?JHZhN6(VDx=+prU49kzzsjc
z?-HSIBcj(!4d<Nm+kwA^gly`CujWSa)+SJ(Ixa)WKhk~oj|87#Dvp=jSs8HGXyJPs
zQ}R?x3Cou`_d$+RgbW~fVvwW0eE@l4VG|b#<l2Tze@q`I;rP-2WTwP5ti=zr7R7Mw
zUj+&ZO2!)z?Man?5wr$0NUp@P#yEJM3}2dHj|pkr7;OhtB3S0R#PtBT7)PSOL3-@a
zy&UpyN^nn+E7C88K3I3asQEGv{nnbk(;DLmf?p;9M(&FHX9KB2=%PrLIdFXcRah_X
z7GY9Vo(OwZf$J@m7gY$rrqzSc6c1Ki?V;sVGlvh%4W3~x*NawbiX5c7L1o>~-_c<a
z1kPVH<l_BP&Z@x6@>#rBgB=q>6LVWyDP#eV$4t9lOMQ-n#}oBNf-e67bJ#6ff!g-Z
z%3<NZb;IC4Ae&=@M%^>)U*6ljnqyUSL`<qm4}bDJO!$89rw*k;8xb^>_Pc*`o-NLV
zsAN>N33V)k*Fe2O;d%sabVY8SZ{vnuxLj3Z!#7H4UifiX_~ou1#fEW9mP2BSdjmfw
z!5O9jt`}(ch-lVU1cGq&yVq+RT1U7aa53avFAoCaX2!?IX^RbOU6AQ?!!ijmO)>IJ
z+Sg`MfoqD?0+>+~?rNtbJ3WxL-bWJ#f<G++__b=;hmU$D?c2V21;e=r+#H&y-`;MH
z(^7q>z{!%KHNH!!edECy6OD(@ieKCQj(9UV!V|LhM)cuxV2;>F7*}$?Wpj(dAo0{s
zY;5#yAbi!mE_w6YZc9Ei-xN{&`3H`Ncnq%n)h>q@|9D4jrRw&Ll{a0~p7{@eEyc$W
zxS0sJ)74GzUlo(V!`Hwc_rp1}GgUz)=fbKce;=@Vp1E?CC_}i2e+k1~PorDje52<e
zuq0TLTahbon@r3t;JWjC9~!EJLof%2hjfFE^@n2|cGD4F%6?y9l(Z}}S>S8@7y@78
zQ)H~2yGhu7^qNIwG#B&}xXEzaPxBT1llJ<ufNpT(j~}UPalFXS#B=Z^;7Pl7h7twA
z@8eHy*SZ+RHHC+`-H>4s!QW?CwIa*RxK_P71BYoUfb~Jkn&35Oe)xCgjBd}D@GxuW
z1a)Sqj0ry!y%L_P_^w`2xyewD08i{Mc|3%=NrwTUTX_K>uYk?;=i=6fPx?#H>>W9{
zR7zb{TBcv%YHaFRRf7xS$F8_u65~j|X}}t#3D5Z$;X__Sm)!=a>Pw#Q!^2hb5X}3k
z>8)1R=z%2{DtH{z8abzSP!pw4;4@55YN}#3*aU{)S1ly^DwLZqlej6G`Kt?}a8`+$
z8KFS5JnqM5ue13n^E(r48G><RwewMvDS!EovBYV;F5$AHdR*GW>GQ!<x@9r+2u-M)
zKeY?F<2|JpZ_|JY3J+3>t#?`IdLjJ!p2@20^oP>xaS=2yYHk4hm!v=YTB-D9$FQU?
za>cTq^HyqlBCaDK_#8~fd3n3kG+V<0dIPG2Qd(-QBH(;T@$GKQyss!-gKHj)6mfPN
zeS{J}DzajmNR|p-T+}jb$%=fILe3Kqqvi)yr;W04VRJ5RZVp7OlwcgEe`XQSd?@{*
z8S4g{X9b(61${n?+I`t^%(ah_uhmH?gu26OfYTBi$NUvFNF#PPlM_Eyd_cJgk1jqi
z;x(B4Q8QzdJ)To^Rwl{i;3D048q;4NSzZBb;oDNLg$#q^y*EqU+AtOYbs!EFZw*sg
z8cq4@R$SQ_{n-$-{V-}CuzVW$1|G(J*~0`o-$liAEG=LNGsxzpaH6T$eo^VL(C9zs
z5nV*iX7%M-s-Gn(XP#Bd#XrzK>q=${;K%Bnr%%oNxQc9{p^AD`@SbV=kql0=p!TPr
z@Ng#mx5wRs#l^)b^GK;plVD7EdM#mQG*LJCHyt1jzThE*_1@I+dm@x%;jtP+53I=P
z*-a@Oz_Shlf>Su^4dkHifUAK6Vz{xJ_5K_CSquhnz4j~WqTr4Za!BU90-vcM9?YMb
zO`4FC2_i=H?N%+1PKhBsCW^AA+IFa*FP%+f`u&xemnnF&+!c(F71(#3$7uPD^u}aY
zgJs#-cTZhPy1tP^4xvgR??Ztukmu3Nw0abuFQsr+3?iO#9J)~ZA4`WJNMF|bIR>05
zCruT1#=u9vKo=3Tl|bn{-FJeH=jb$Ha8WJY5JBY<DC%o6yU3`bot<4Z6h(ku;UT>4
zCEFqiSkCMa0O&sxspDN1*O^dit_5A+E<%)V>8C<rEaW;Z^Q~2#(@8ZQ)*!-5&(%VJ
zj%L5{pItzepl-ob-=ttOLebYrAd8Tkk(>1H{S$F<FqZGSr}sZ`9pTH!$e4x!^NmP$
z<bZ!@{2T+L<~KcH{IHi=mw4_OW}+}wS4{8~UoNXOE$@}9QFVCX+N)XX<iOop=Cdbr
z44C4SuW@mvrbk?a&Tm->zU8B95NfebJS&PbjX|9=(9QbScv9%Xw-C{5raz^xvOacU
zY>Oshy#n*P@jqagrM;We8Q;>lR#MOB7H14T!D>0U4&v`RF+FiJjTQka4$5=$n(k4T
zpqGihKM}St1D02pD9La%!SvdGO4~VnXgSSyca~0SA;XQnD$-FvWdAkHd%UKCqWJiJ
z0V6kSJ@2<%cUE=b{-9SIZSDdTw~0u8W~wWmhpxT18H(z>Rr?6xTkZsQK!g*B|DPQo
zqgq~Zq~}%Y*16?_{6fK1Qx`J>>>_xbD0~Z{PRnX4ST2n4{W?e@_a8>q3{}c$inU{4
zZ*Du{7OQ>0!i+!A(s**nc*243-Pa_PyPFvY<ik->v3nL=QgLzdBxQ{?k&MZ!eCieQ
zZz?VG;&*`Az(Uav4!x=q+B@sHS=(qRGk+AQS!!rPT_^==KNb^T?&B(CIFI;Am}Iz}
z@Cc)z<4gp21}sj~6g5%%ZeU}O*8BH(<(A#_mQNO50;{s_GaQ7OvYWc3-M6|dP}^tg
zA)|g(jRc?2FTOtlbrs<&sP>YNaSiA?LKZ?<!!a<wi^1?e`7~vbtQ6~ea*UZajj6gF
z-suTDP_X^#6%O|Su0odi!wus*5h}mGW<8zlDAv%Dwc=)hf6ziG<h+DYUw3x-^=EvB
zB_NJgQ;ebN6C~&N9nYBfUFuBJGndB_6&<wgwCtgbm!a}<2i9=I^v=Ski6C%k-Hr`_
z4v6C?v+F=G>s3Btl}fQZ2;Vvz7n7;S^E?L%vTr{^fupj_^H4Qurg8g5+IVcq)5l)k
zxdpF#;tX5nOK$I*DP0KcRE36x0_V=<k+Mi#;>v@%H|5_PL0CMfGx7&81->>Tidw&^
z&z~W*P#0=}<f>S_CI+78_q};dT{QTQsf=}QCd*|y;}cFOo~kzxrH2p<6wwsZs!AZJ
zb`vP}&tm6in4ddtR!;2Uu}3xWeSS<J#8@1J>bNQWreen$4b!{}fA;*kE@wdzbmNqd
z2;s*ve<<gOjlR|sA<uo*y?|%>Kz=rxU2c(MmfPtgQ?Linml7rUL)r|r@>n4`XYi|E
zbgnJz+y2PUpXH+ehp@j4tGe6XhGAGPq(oYzQ5q?ckcJECF6mG~y1Q8z7?dEL(jnco
z0E-fk?vRv5x_Rbrx%d9dbsxw3@&QFfW{fz;IbzDs82_;}S&T9!^7@f$m<UU-qIAF6
zkBpvNVF}FRal9(qUz2I8Q?yt{cQqs^I47UI^K$*?BVa#>(XnsvV9(q;syA~M>7!HQ
zL+_`}V4_yiF3)KA`>Fy13j?jtQg@vk3qL=M-33FPmoMlYdp7S$!g9<KG|2b9Z$?J=
z&|(Db02e6kj+O`CfZn_l$Tac?hjYU`0P7lATCrJ;to|mT!W8>@&%mOXJf`mJi<G?x
z?1wSo#h%`GuOl!6Mzw*6+v*_x;kN=d#_}+%wl2=?(OyxY+Cp)z%et2`mw>w_<BoqM
zxBsc~dLtuiK0U#A<Oj-{XU(EbJ=oYIQO%;PFG9S(VFCM)<4{{HdNDh1l-<7m>({UE
z05i4W0|yE3!O8><Qob&w(udx&_+dt7v8uhWF(uUlG!ywdsgFsSOetzwbA4WD6JpAw
z0sNMsrE{OtdiA+(II#9D(wnidy#9=2jo1@5wx2aF-6CC4prJTlEqa0twbP5yA|+T0
z-!-F|l<!lL)6bjuxDc9q{qGfkk?=hq%2O3|a6KQLH-S9(1Y|3BDAShjl;)B5-A*IJ
zLR$RN=+j9jwr=pZo%_np5f$iqdtbCP-)As2)%fPaqM2v>dm~jP4D8@WrO?5){i!G)
zM_xmRKgMqRWg>pqb1~+zWIl2|Nc{^FjlYsEQ4GlR0&~*-qJB_N8w%MkFkT8>zwHpz
zmf_M8(4Ni2-l_KXJvvYfM@5OCkg09N3uSdbs>mlrZZ+Bt^Gqg)v{Y3Ot>r{+Y|GyD
z;JvR{4=_~rc6a5(9T(BnzrIh(sH6J<gmdJpm2-wIfaHCTsA2BFZj5-1W;1#AJpA6j
zyFKUb?$dgDUO4{GQZhbrgt&RhiZRNL8Lk97V8{T{kY3jY2id5b6la|*feuYp_Y%IT
z2$xjcAi0KMfSuk{PH(LOA{rO~gD++2Sm<V3w5OohhjS(gG+GN7h(@!|h~OJ9D342I
z$nG;rYDdb*@a=pMneU}VCm*~Umn~>tWME)WU!KGyz;3b|{TxcP3Io+yYnaV^IyQ0N
zI>ny8<)7`ZB5Wr_&CDj-fa?fs3|z)HtL^;kziA6$!x8MZaE+)Yf$bNGRny%u1A_z+
zJuiI)!o0a>jo)8i{fi9&=G7I0AuycPwV%)2;T$(^Us3L2rroa9<HTfkC0YWO<BIS>
zyn%1E|MG3|Ng<SDqg&F9Y!;1Ys?NyBD1X)5n6|bX4JQ(zCr|}}w5NTQ0bzs1okcJ2
zC^Rv0{S+17o;wL^OPqAcCoL7%)G=cv5<b+6q(_zljUtefmN=hsR2L>yaM!qnFy*y|
z9k6LFlaT&x`5FjIfFU5i^(8SVN*zvtH3Hv|zo7FY#v>5bWk6{1YepA=sP7iKFOAkm
zOudkV>`{gj;4bJT>$rJ@{TP|}WGLV-fmh|3pkMU>?cp42Gv~_Ls|<lXEpO-*yK&%n
zv7FC{BtC~fNhSi`hRzN>@$DFVGpDfU+?N<@%oV7{L?LG?$8?9R|KGq9yt;@LXS|B#
zKNtPs`+IbRH~M&U<MF!JW_VzT{?kMQ*rDxLITJ3r4ABlRt)_|HMy06LF_P}=Y1&s&
z+=b?S(Ry@;G|DFO{*_8w#{NSp)a_;zq7+Oy`61u$vzt0&GWV|t8Y0Z_5I9&{85OW-
zB|>6cxVVg)FgX0E#7C|tk1mn_AlUFl@3*1eHgMRHYO)<GckwxWR>}wq!;ZVUA>RZa
z=B6rWxH<Yxy_12U!(9`#IxgV$cRuQs`&--_d(xPcR4lC$WssUWc7R%BuJ)YUAe5}k
z{)Rnu=Ud}eM#nFcY;@l`%dt<mQdbFB)WBo6u-}5bP#m<CG4ST?7l6OtPBGaDA$&-M
z@3L_I4T<h^n0gmV;gs5ZPRMR4q)g_-kC&2QCUDJGRC~SA5(pEz)ik6?r!|2lhW%~3
zpkls?1#+|5R$)HA;8&S9u6&MMEV0W6n6N|G-IM~roXI;?DsLG(?Z2QM<qcF7;#rXD
z0I2LGZkvS^*+d8a{LiNiAW!`m<4|4yqqwYxX7jGS8}@{7?Yie`ebOX5U+tyP9*oeZ
z8x~T!$`;YLF;(^s4e6}q!>C9I-&j6ofCu}(c22qNbmfrY=3DSLDa2MW3b2Dnl=la&
zH-seqDY9&g%#Ts8z04#P_<z=_eULOBYTC+BL`(I3J#7BG%{iH1wSd9&m_DAiO<U+r
zA1io^GC6ayxA9=AKv@a~Plwz3zfTBxaKnuqaFTU_UE%8SPi2t8^~Oxwmq{2c<!0A3
zm=joIvNeeqD4SrQ8|G3f?(gOLso6EQqzyY{kn3>oOi4+3Q8gZc6oPSZaJ-EIP%{@q
zAxnuj{TPvhH;=kBfV#4~b?qx}rNnFIX^!$LZGTumfQKcOt{j-T(j3`pkG=ub1%dUj
zY`cIhfu708h<or^+>!H}p#cn4fU5Z0tF-A$zz$PR_L6tz>ppJi`gqtojFm2ihkVL;
z_So+y%;##=I_}s#aFaZWGsZu)V-&A~HS!0d0#mr<LZsyN+0ej{w)-|iAE(=o2nG7V
zN{<0FHU|+ih)JP@(wEQ#V4_34SwzUP@rdcSNR744(j?IP>2B0YFl6kI#A#m-1*Xpu
zLuuUqXuSHjj`);^MV)&NgG4hi1RtDx6Zt2j6c`gP0|=ssX-6h>-=MF&bxAy&xNGW?
z*;jhb^5l!U;zi7kEo-MNB4c>Z!Mg|xO0WtuYpn}KRqQ^32p7q0EtRt3u&^+d)GG%;
zW#jwNapy+Y_j~TaIDxg9Rapm#JQX976ypAuuhEd73f^2Jp`*i#Z7<mc&nBx0QV{_+
zh#OaR<{Vh4D)yavxio9^2PuM%V0u2xZR4Rw)=(Sf-}*ym%1npuyPeo=b|<@+PyM#?
z6zrLS0RK8q(v;pY1Arkiso#ZDsfu;cv6ITW5K5s6XsLzzM}3`w5g_;`KXRI^bK5DZ
z->B<5oh)6x^X~ldvcMt&6s-V$UB?H$S*yeRVzI5_(e1$EAJ(%og1B)qNuA;IQR86(
zbu8~)2=7yY)ex}J*)<u?;3}(?2MPDtaC<H%OKd$EnC}KuOGAM%PY8tR|3`;jBj#RT
zjR=jC@wiFtfI|||yYHT#CR%&dVjJr!F`Z-2g92YG2FEvO$n8O!A;!q%C`d+mYn^2L
zzt<UBtxabaKi7TD`(;#C9VI`M6|azy>DFn#ov^2D)-;y0vc;{l)OpBXf9#7Rnessg
z4-nU8MA5cS=?G#-q(#EEt2>zjRXJ~OOEfd1_Y=BiDZw|6w94l%c^3jKvXbTJv5k)X
zk82oh%E%&`Mak_{gXEQIoX`F_W>D&j%x-`IFWaJ3#rS@vu&AgAqiX!!lnHvC1NKDJ
za@1VRKi!o)N>P;B{)tGU*U=-{PuXV?fvPZ`y3J;n0G<vWKSmj)JjUCeTznnQ>utP&
zTsK=X4YP81u}+nn`5o~EfEG1dpdYCpPZVz^F?+17bhJ<}3*8#3zfCY9$wa21M00u*
z+&4(*{NKsa&4dRUZXPama{BeWU&dq?Xm{fdEpoNpmZ0N8uT>v%PcU3=?Yt8})oO>1
zo&AQmxf-;&e}!+=8dX~@sDQxtSOvJq43QX7N3N}^<vZkB^jRCaJFQGe0l2qFJ)5a;
z9hV>D(J(`c&rza}%Y#HTWEcKfnY`GR2<Yw&w3?yusE*G1#tI}94s&iTl1EF;TngKj
z2(=)?n6J;9kbKIsTR(3ilRE#Y`YoUQAN=!Q(1DnTVbYwwX;r#%IG-(D<i#Lhf$xo8
z>wZg;Halbeu5!^-MLugJd`o-qBilkub0b6lJimazL6JeVeM-o-E@^pM5(;pfaMDc+
z*vcGa6=%j#Fnbo?^l%8Xrf6oyh{P9BUzpP3Ajc!bl8NFa{}B9Yhv2~tV9E|4oP7Q*
zo`j)>ev*O1il9wV0vR<nRm$n1wHPfP1{Ey)b;=P<f$*&^k+m%!rEvCPk(<h`T5nzX
zVSTUd?~SFbB_iOq&kN!o0(1MLqiUBYI)9x%^FT^sg�ZA-`$>-J_t|qiph;c1frf
z3NsiczE$!8O?yaxeNh&CSKSbU%|z(a^am6=7(u|P6MAD!xK!R~Cj)tEMpNSE9^N{u
zyz<mcSj$(3BNglInJ_nE#=gJS2Q+PgFiym6td8EqW$i#o_GeTi<{8a)ViYD!9wSJ_
zHL-X9COUJTw_8=L#GP?8v3P}O;J%XSd8o?<tRhj&AY1?ZighZI2zVzWz|emAs{gv1
zxW%Ve>?1W%#5*}#*x`KGEtHSxpSSng_0M1@uCe&?;5Mq>Mj5S%M4%?lC@5VMj*l_l
zn%nhbbE0(P5o473-_AjTjuAc4%5@>ax$D_zu*Rq2U-t8LFGA)my+428R*t*B%*C@p
zT#li&oB3LAZGYcAgIwF%gG<twr_p+y$M}SmZm$N&?}I-C5_|)%IN(^}rO#Hk9RS4>
zMX4ndgbid&pSKBN+jBFuCewndGA!h!W%lUwTLXx#Aw7iXmGOOybwC^3c>&DMXg<Re
z5Cp%I_;F6_G;*iO#u=*?jaBm0nd~k;e4D5w-dYCP>D=mV%=g*pzcTyB*Lh&r=JZBK
zwz=VF_qkQ87=72{-VTKajER`JwhbfCJu_CF_)i$^jxZoQYmAL7<H%DghU{>H!E)9)
z1Q#;+J8J2dA`BQ^=mjKAUhk47&c8wufm_Yw0DxvJ{b=36)<1Yw&YUo!-uG#>2m8i!
zogJb`sfGH%lN_aCMsrbEEpA)*B4X)$zziS{GZmrZ+Rq#Z*0X_7u}*Wam}|G)@cCBJ
zlWKe4M`4_bL|>W=&Z01<(OvaFszMg!X<fK!f?@wIRQB@s9kEmgDrE@kDQBFVnxy&_
zw)2HcJVS;{1TC?k*Vgjg*GcaiETR;6G+Sqd*=@+V^mN_XnBJ70u0_Ys&u_8{VJL;}
zs~l4IG-F*xKfArFn8u6*S?y~I-hdVtZ&dTpI#vLIy{aOB92E?2$MNYmNi8<_-Z2LD
z@aIpg!lI7)K)~{}UwASIQi3~^RuTwc7B!mp!(40cw@?0xX=4x|dgU@K)IU$r8;Nyk
z<++&>j$KkR!uK#{>VosM_WCe}Ic%>SJf(3z6b+^sbjC;c3<_J6v6RARDyym}LJ1!F
z_+rnjuB`N3pV6qtD}GBHQ3t~AfQ$S6zxs3{14OldzH0Hf-d}@xH~y~8P%-0F4vv^u
z^t*QlzWE%j+t!rYoOpe4dHv*w)>7|}`tF(NloMrn@*A$)UflnLza|2?X7F~m(}o;A
zr&bt^zz3_{n%CO1=^x3lMy4t`?T(<>iuie|q<M+r-xnZ}_5gNL<aI67{i!fcs^Ll6
zMaBbWsqg6{`{MB6cWLU_ba+!cArkt)8|7qc*p*Qu9KiduZ?$RS#P|x|v{{N1)d*<m
zl!iC+)|M_O%zN)lWQ8}#cImoiEgxJ3?4nQkf*krdGSbv_`tx<cxV%zX=Nri9GmW1L
znm4b37s^}34x*>VH+|HQU#w^)pM4?m)@LI!qoWf~vP<tae@-LVdan(q9)f)hWLTUm
zAP+iOsL=JocC!Fk0voBCi|oZFW<Fc^%{U?XP&doT^wQp%rO;~^Z(YnPWhoM*29u`z
z6Jsab^Gxb$@~@BzvR7M4FMy%VdpEjxaByG{nmyd#Pp=t7H1ke6E3-tE^nGm`KTG+3
zNmo}_<NEsgB+pl8AbsNiWj%KIcB36WyBpo+ah-fpVD#OnkRm$BW)Bp$A?-3c7Ft(R
zsIMqzw5pntAm1d>bCS3$z2ticoXkJrxRo*XG%=h;W4lAuNWRJB8zt3c?=#SZuE!$+
zPg#=hdv(<9^@!M={*2s2H*D)p<56hnWbi1guBtd~_`*wqcS!^#=%f%cb*+m_!#$&d
zC4Mo>AFPZ0xN#AA38~AoSJ&mO%-<LW?Vo=1pmk{kZb4-{Pn&T>wd$RnAG=HZj;%rL
z-VL7QGPv6i*OH$vVn+CiALDPlQ4Ow$%wh&Co<Z6dB+}TRs`kAvb~vT)jIzwkJ61&x
zd}V_U7GFjYaw@h+yLrL>c_A$?ax-bzbjKEpqF{#_+4~Q9tlhkIvrJ@V3oQqMe%DUP
zZWAoszVA^OY+81y91`f7K3$x`useyE;1497*dBX1LEAGMx|5p<zfF=>NhMpzkC-B6
z1RW4H=)OFkC=te9!w=`?09fO>oxaZU25?l4#SiHxhXDh-+CKFX_sh|Sq)EG@)bKQ6
z!;&|iSB&_0?)I4QkHeoUdgj6@llR{(fpFL}D^e6tIr?;m*Gv4yhxC{bry4hrnD>pc
zUOeSg5#}UcEZY00AoSVa$wxFmy+o|iY;)NYm~dS4yH!bX-Vo+fc$?)G^)JAhNrRM2
zo?;ApX@Zze_ET+Ol;B&WdM?V!L^U}p_D+$8uHXZZ-9(b*cFT9}y4;SAmzdb3-Hnbr
zs(b%tMl{wsgTd=Hu{KQz@-x9UqaZd8=S#c!+K{SN-dYSDieOnV^aKm;k)ikqz!wG%
zN#FElDfsL;K{C%-;DWO{T>6sO17#^A$vs=Qa#@$!CfR+qHhT95ulFfjX122|U1P#y
z!iH4x2G$rZgC}^SiN&#?pC2m(4f)tcRYv^1(5u9^AZKNaJ;C6}Rg`w-4p^$h(yxw)
znrU%RL$L9yUpNS|NIlyWr?2?V(CdrmjHA_GMl5yT>tP#zx28Z}W%HS$U_uG<ui;#J
zeO8r(uTccXZH#&0z|-<Z%49mE+>l0b1zrO_cMTei+}36MP8Sg?@#BDys;2^<L9R*1
zsCA0tqRQ4xVG`|Y=~4~#V&&JF1Zj|(G9rpVD?%cX_T#49^2IU%tBh#u(_^+E7oG${
z4*-){qjtLZWN`tP05VSeppN^CR=)2t2#`&Zg|u&5MKGzPl-Zx%Q*9dLed0QisPK-H
z;MIwg{_P$E1ATv*wO|YAPytO9w27XWY9em2)V!~k?NfZl*__*uZS9}^_C!icp|fPu
ze@L(v)KC9)1s%5|cwebf%~Qy2v0tHdq&B0Ky>%fk{!HX*wXJm|T4xP@&^{=1GfIK+
zU=%66u%T=g;C)Q1S-hyG2ZTgbwdd1+G9pSINmAzIR6$6hE17SYKNM%qG6%AWwfH1m
ziO2mCFQdaldTMD-g8W|4wtD4@Romh3HMi&}FHkh8M0b;B3g{K<B1*5wiWgcug8Z&!
z9dfChP?H#r{gw*1u4VQFVdLM(6CgWj9Jr+KHr3LxY{bEg(5nWEm+2CWCrdTYt_&=N
z_y>CvPStZtprzLHffZJ1QVz#vXJkC1>-2sfG~KVG;fQhH+Y{7?6~@8Jz?-<}zqCco
z2-J~~mSul#+dL^1;&m0F-q#j&p@<dUz_*rJwpwe4cw#ym^dlOAgWK)|KWOLQZNd@H
zO?sThH`3l4!tp`6@Y3lLIBL_i?}d-?4DN@vITyVcSYZfA-ldSXyIy0gUeIDQ4QB{c
zRqhm;c6SvZCsc{99IoCzjxgc7J$rkckkF=+v46g*y4vGjqf_A<gW@P(9UvKnbs>p~
znbT5-8-zMj>+7J{tlnQCww^BC5a%fX_f|Fmx!d&G5Asi5jmNc<)NY&S);YfijVJ_;
zQfd1RrClEA?S5OIU3<b1*}Zejjz7mj*#;MH+mBPP#nGliwEAWIjKpGCjw|MP;>htJ
zMK(0CX44x>b9D$OzA?szcw0`0(SE)6&t6h79v12k=D`kcjKjC&^+#o@_G;IP7DPjv
zMOVI5>f`kQ*8V5IxsjBKyq*nzvNNd23#0cbC3$u7IhsyP@fQ(exUd<!c$%Us(E}3m
zU)OK@GsxU5#X*mSTL-*XK-xY#+|S1?s$ZD?@vET>Kj=idC0VwQ_Jan|n4<@%e7L-7
ztS`i`#>x7AS#lZSlk3ZKo6u)9adh6+<+@KXd<TY|(#b$aUzum6Pd4&i9t0XAN-~?}
zqhS^F7!VcE^@Ay}%%2O&^9@KhzBvJjV5g?A$i)a`WM<IdXv$3E%0OilWAs(4*?HDg
ze(@&%?ry|-xzas7$}g=(Pf-d-S;3qIe46;Gh<y<`Or(fv{FYjhL?3N-q|1>Cfk=3~
zP~+=OjFbB~M_h%tbB1uP%;WnkmnB@{C9G1?*ZJl+B{`*es3|g5+qzi3O`}wPr={`@
zFW+eFTUZMkHd~-Wsq(p*w+?CZ@Pi+5p<`PWAUU}z=8Lba45gEI-whTV?xi4!npPBJ
z$Hz7q<&jZaXHv{YMSEcWPk~q?yE1q5#!i6Wer1)o?g7T{JPk#QMv<Ft7PL~V=ZZuX
z%y^?8WGg2$aj<Y8;#^CD?(h*?j}sCf{-EUm=EXIQcW6w|W_FVFE%`~Ll>e)z2C8e+
zf14P9_B;{CHgu8n<NohTGzKttFwU4FkxBx>SE*-x+^_SlkKQc_r<ZT_jLR|1iE!(`
zo>XgiT>7c6lnPOXMbI1@pqveY-jD>j8RK)e*g?Y8Cgv|^VIUlM$Vbv>0%go}DLKHv
z#tM8J7m|o?EcQ8m+$$;(MnbDsu$xk%_$^(JPqe3@vULJWhKTtSiS_gSv-{@yllqZb
zCd_u_Hut1XjDR-&WfmcGnvaz^C`r4hJ?>Ce&!o;hS;X!vn9Eg6*GQ4z$5pGM&h_bp
z4O@;t*Tlr6IwaRZ(;k@ih*ic{-wioJo58H)hi(b9@7^OpZRo6QXfOCAdK94uJW_7f
zn}xfFEo@(_LYeUWLpmlOLip<owQ6^AW+;VtwrHMZ*=umpx>%V<pS7;vnI;T++s|nd
zS4G#sXXV)9>)4q+ke%}3th*9N@aAQa0X+yUZV`3{{5@kxyH)maBw=DY2K{b3|07Ai
zmh*XvHzG3Oi8t9576fa$3D($G)pvvDo{PGK-UfAT+9VOIj^=EJ<7mhac_#5lZI?b!
zoFOVIihBY|r7R;~7TMd`tv}75RZHnB#6r?D#8=9x1>MIvR)|c#-QsZ*{3=+sCkN0a
zNb-I`M~tC~wTG?a56-ma@QStk*b4c!B=L2~?3Pt?%Gw*+0lu^b2r4VEMGWC<{`6Wt
zX^9|h@%_oHd_!E~Sw^ovCP<k4k0|@2+}wr|*%r|O&Y};5mdy+8F50$46Pj>~5(n(n
zDJOL54UIe9NTY(+hQDGCGaG&+-JX9V0kP!@n&!XUvZ#s{q+kaxgQ%WZ6aqhh);{9x
z?;vL)e|Jw7eA>_!VQcZx{^%Cokp%qV8+}S?PK0krmF5I?#KXC7;VZK%5%kb{q_GFi
zxuZogoqh_{uuvPmDstvFv7_WbTAAqPtl!WE$>Yn5j>CnY(Qi|Qv@sjxI4OS-A^XYN
zk8~&S&vYGXt9<Q5%v_WTkTepl-F3gin1H1i!2HUJitp9rw^aJ_?QYylUTxdC9ctw~
zK0aO_pWvBkHy8sdFziD6bs`J7eDKNWJh>)b@?8h3l2hhk_z2&|pxz~FYqj(}(kkP1
zwz@{G*cu?V_f;K=(_=AKnuz6$`|B)?Xup$%Ox<Z^(cB8yn!C5kYLz*8qaGEwW?XHv
z`G0mnXUatYZDHu@&iVw>ZxJ$gYX`dL95tNk=R(=fM{(r{Qs8rh&9UEwfW3#^jvACC
zug)%J@G1lW<3xmLCNt1a@0c}KW^}7p^CppWV(lwP39;<Ku8%`~I3rQlh$>?B_)4Kp
zn`RrtF>Q_&#%~OkmS2tAVp!*~!!1~T+hYr9$OeDUH&W}*-0L4c8~*o6XL6}gerNW<
zmsu=u=B91&UQV@GBSa^R=$#tSD#o?tWf)O~4VmqVC9ZeGJOm71-gCPk+EqM#kVq`p
z&~^B9@(wV)A-s7;|Cq=_n2nUqvu7~jmWe)s_u1jRX`dvm>$my|!r~XKERsKdW!?Q`
ztOgglK(!|UId+A$90bigb{j+ZR<`2H{E9LMDktfEq;e~~caG`mTMe)4W0R&9dg1A0
zRLpDf{K8Nr>Az&fjEmsLcV=16ClV$ExnxSu?kt!M1gOs-B#vQH{T1%{XvnYpJ|?x!
z3;zIHuQk|w4|}4VuiyYwuYpP-Cb0Tze@v;uvGcY+kdkUouQ1syW3QF6GDd8Qv`qTn
z*rq?oX<fe%e<$<T$B?{Yb#)a(HbWhtYZPoLA;sc+*m-c}$ewQ8g1k*9v1!KV!Ft(@
zur&Bo>D$BYMe_SfKZ8ldFq1;&<?<!~ivkcc$8u-yo+Z*eTj0dpCrl$7AOb~fT!55^
z7!aZei>So>t6N!+Dfhfja^Fe{w6_`)VIe`7x=keil<U`>_K+$KVemMc#-P#0r=hFA
z<>mW-<>Cwdd=_@VhPg9%b@jEw7y`~~oet%(z>ic$2TMJPS{i%XZ{;g1N1tj{on<x8
zYE9es5YwZ=MZo7h$>mHggn~5beziHguOG8vE;ELm1i1=hR`uW*=lrIEFJhcTuHtQb
zLtcG8e)W2K^A+@JxEWlOT%Jn>EtTR$Q8gRF(h9y&s9%}iUpU4r0IfaJ9uLTP5wp)p
zA{v0Z*jdE6cD{WyPB~(64&MisxsIZ(@+axkxK>#YgJ^$2&Mk>{jw@NA0ad%(CXu#3
z>uSdhia_HmnoTPe$E@yf68+oq%~VRPR}x1B$(5wa3l*Iuvb<vo3sh3nj}9!kFQ#Wp
zED-2mc|6ixHmn2HD4n05V>qpYQZ|4(MzIE}4nXkM-mCL?@j<>B3^WGrJh5rTSh;f4
zM`LAi5EIIU4bRwV4>El&=C$suW@0SqJ*##SaWyQkQJ>HlwUT)bwUaB_Vbl{w#tWum
z{(*~rH=IQ-drNfqDJdOG&ve}#scuF`RoEvpHXUr1J5uq!tj|0P=qit@B&~rj;aRXR
z=31y|w{R32v(-!m<TZflON^klU(O0u9mL=R(GvoTSYcRlbS8GYo{&O)z4kwa!rq8#
z{pCdbOgc{l6XDg;T}C6#bzf!V9=gvX9;k`}T(BhF8fN}{VF<ckOL&hdg&`|5*`ze$
za<1r)kp_)FmHm+&Bt<;YchG&0hT@b~t%W<1;3w_;=7~gA`@SKXxc}u;%xR;!!|=vQ
zKusvNALG{~FRJJn(QZ(A2geJ8Z)b@X7F{pr&*hRcpqwCM$4xPZi~n&&=sui7I9{ks
zDmNh(l4~FbPv#eHOg+_zY@o54;{W61pq0IsOjA#L4-q~+-q`*f)h`*b9ELvXHI)nI
z187Yh14c~r9$C(T5-@YzrxmQ?R%ZktFbMa)9ea)ol4=3e8bNTdvy~zDZx(`Vsmks~
zcpbQRp24x<^oMd%G%;cSF+GQD1p89j9hxUb|4b>Griyevfda<>pXlxjNmJtz0jq$8
zy)W&W`;|=<pApyo9T}j^mpQ>JocEEeuG-|n*fX8g*}_6XLcwdH_=YjPM0T<?A2A;%
zOn@ssVFI<R4tz5HM!;kB>`~kfsKp-O=dSEutrJOCvA=%{69<NwO?}@*P!e`ajvZx=
zaziB6J+PzxQG|qkO!xm`_WzjA_u9=2Y6?MZT3b^MWfV2KMITJt6)?8))M>~@uCfme
zQzLx#ZZ~ixg2Ha|0`-olV4$R4EH2l$Fjgp|O?i`nVIlmuw2-HijSBs#ASv#BbIai0
z#u>8J-B@v;E;K&6LP?6ka(;*Xk7eUYPw67`OWL?^y(`;a)@k`7gup6ax-K77u4+Ul
zWGATuor4O;5EO_KQ!#msZ-Gc)4&turbjW{Z#Swu#^JQJavF5J&?<|17|ElapglQh6
z+}W+~D&Sl3)>*L|=O>#@l7re&c4(=p{nX5O6E>g)p0R|t(IpJ@mY~7RiNU~Hs2|sv
zI2V5r_c~R`53&Xi!IE&a#<ZA!N2~u@iK9GJn%G!{{s`pv5D$se7B%!bQeqj<eT!5*
zZ0{XE$?$%fFd@SRy4}GtbAiJwhWs*UA-plbTyIY@LPq5b2~^7}Z_2ag22&HBpp=Fb
z0C$AEo|1?H$96fH^hYQE_h&Qd%|CY2lcne@$Su@i=VlD|K}$iqhCIs@+YdWrm*s0`
zQyp2wwUrh9AN~F1KdMA3!Q~8EZ-GGoz%?iZ&NOn9$IwS0B(zLTGCs?fm}D&Mbz*%f
zAp7~RvXKA%#6JrN+yn&jF!-<&hJhNduLBKAcs9Zs$#22&CNt^mq9h!q_BQWY*c<3u
zXF{7T9h?<p2y@dU2-b3Zis<m9|HT6Q>s)gK14Di>(Z`M60F?-4yS(G;a;Zvbjg6Ca
zMM2A9QPhITg;7^G`2Lg9qe1vA4`BL0{x+WupeR!7c%Hw@{QtH5|9qK(^964viq!*B
z%05O*Wtrr1(Ul*Tuix5ME8c4i0Zlxw>Q%9MqI)st?0Z00HQ4(giRsvc^^kDZzgM58
zh8S*G<h!WzIoNQrGM`;cbU5F2YNbAStbg)E+#c7^xt-C)|8$PFbwe$WYchoV-a~eS
zs<qX<PA{nHZ=TihcsZwOuC$d#n6K~&@_4ZLe4)pGznnIwQha|7+1%i@BUWxVUM1Dn
zv3#_YdJzp~C2w(At%sjM%aX?c90`U_SFHM&?fxJjzMH7M?W%6s@t{v<3&)_T3aZ-n
z6zVeq7R{x?oxJ!@1rj$QFf$KcgNBcPNmWFCGxWb_H~Ji?DB0v#2b^S8azTqo;InyZ
zJ65sWWwqeilOmcVZuO{)7Bot5q-E;}i*z;FSqB7!B$M;+YM6e0iMNA!^=g>PogJIu
zqDHYozf$loCFnRnb()flY&mvWWJMVseR`HQ?$eWZ68wA^c2Vnc?vchA{d<di>tG6~
zv$T{9#rHc+PmeQEo?%Nq(8|RxpJN*(QU6-<<uA2#C4#mR5)%t$`at~{c3(cX!7XVI
zzq+|hgpV^#J|)v4VU14P@>fZ45a6vP?rmeM{K%kxAA{O;gwxzNQ33zc!zEjVdv;?L
zl8L*Sdj=B9F7;k319=aV-K;5EbP5Rf6V5mVYXPZ?0}4L^4rr=aFVHcmwnCJ>`;NKN
zkoX+a4ozqL2{C4lj*ct)>*L{fl~qB1i9|CaVt;>sgHbU?S2^_#eO<epqmo^MgYq|O
z1lQ_vn4PTSN1Z1q*MLG8Ux4x8f=H6fn*}vnOfXq0r!T4lU(Ys_+`Cm2Z#nJ_>Kx<+
zB=f&er@k|6H`Q<y%0C_f1^159rUSX^^(o#ftOZRzMf1tN^UPbnGQ!UT_+<?$EPI1!
z&$oi#0@>k!)b>sD4>^luw!og1&6|*#rvZO!T6@H)<nb|k-iQu?;P=YY0jxb#g^!X$
zcpSgLYnt)@|GI}Y&j~;;(F1cIQ|y^2G)|O$H@{d8GY4evp%PKeaBpufYs;&4-Vv0s
zLPNx2-1OQs$2I=f_U9S4en{afpYB&T`F$r=73n>meaodndGlsm9T2=cYlY4;tsDCx
z)WYs3&#{U5mE(ELqY`f0M<wjr^?wMaIsP<0wO_@@oZ>kflT_CJhyaUJxAgJXL;Qfl
z&lV07HNRQpcgKd2`%TD$#?3RGUsoCRK8O`(Xkm^L;)`ra6i|G%uS<C2egXb}-hu$l
ztXCPb;WS#QlcCmQNH<Ix&zZU>;iCIJsYl-}&b1<EHLt;WNYm`TzmH7@B}Kvn_+|Oi
zl(SZ)(EJKen<J^kLs|r%AGH<aeQdJy1IwR3F_Ir4@vfg*5%iyUX&4MZWPZE&l2Reg
zA1&@9078K$z5g#iLBLw#veeB)+U&9hO2fvH?%>sRt+bw>)>l@0XB=vNzRX66w%7JN
zDI2%t3!G~!XKNPX;~pcAg7IXY21a9LvN#UuStPqo`yCjicdtr4n>+_696g+cJLR+0
zg30W+aL2?-lb+%GbcI#FEosH?706m#>nQX&|H|dx>)ORP+)#3Hej?86v%lsuU~#ws
zI(J|76kHG6izY||Zw~VLn8=MG=CyURHu2gkp&m3kQ2U97^t6|@<s&(aIdN^Z?wEQ2
z)pFPqTHv-qL`Xh8u<dRu36YoO3na5y{vk7R?LA5LUdg+s74hkom6-%Adp?!o_gdjf
z*mCx`Lz7=U#X^Ax@YUjH=Lbyz9u%#nv{<}EhbuZw-iLd`CKs%vUxpqw8He7eE%c8s
z-gKy2&VGhGncPe{%n?6ZW{6ji!&q&96<11I@3AQc**E5b>y=SUU5N+SgI3#<1`dsT
z!tlv&Oy*KO7?zZx#mzWosqS>i3Pl|UFI_7}pn*T2?GAQ0;1GIL)&F6Ccem}8Ut_yV
zGmR3k-o@Z!+?_;3o-2c0!6=bNF<Ul9s7jQ}`apHY80y@C{9_q(*|^&K5cBna)=CRd
zK37-Q)=nK(KCN72z&!SQBBf-|HCwbCzyq|w=Dge>TKH1*3mMC0BKC8_rRS_|Ww4+J
z8`q5T-qY{ysa^vlH5om^n+?Q+Sc(?;Dxq^_Y@IVRGfI3$`>k5RiYKyS+wXde!T92W
zGNBtM(2#&JnPKbarvo@Yt`Ar<_!zwaSNI&Ir)??{p*N?jgg+&~-P-xf?A!&P^z6Zi
z0?91uo?y>tqI)$mX$~vQO#Rqx+Y1)(pYH8#8R+<?&wwffe09fER9b!F3K$vi*Y<#Y
z<AWC=k5_a6%^zR@b1l0*Q9!Dlu_>x|k^+#_tu073&Gru8QM}mr{0Lb1q}~kKO{F<c
zugy8=>UN1$?*IJkviQALO4;eeLGS9uV2s_#{(7sS&wAx_Ett)`G{m{Y2QvqX$!^ni
zY{EH)a9u4~o2Kj=eCz;LBEb(^@qSRfp27&6Y$Qk7WY}&yl$4OEET4P}pO-f^9&p!4
z1zi)s<@jJvyd{EK<H5Hjz(N{gvzbmVmx!`)I({R!Xjn&{Y@95K`s^$9s^?nC3{yLO
zAr$u-EHK_1SsN`+6<v&b!Y{VnMqf??p0=XDI38}I*;^~`LAsfmrb$<)nx4Irr8%<P
zO0a-O;`lBrnh32VPM<CY=p^57O<Yq<?h#h%t9_qcUw`tWldI`eR$cNn-gdpuw-9ng
zsCh~olh$`Dbr6eGRWU*Q;;09+*r<M=l&$TzQFf{UIp2=Y^vM)o`O_|;gFZzrzx<X`
z-RBala7#)>b!fi*x`g+jKDhK{t5RmjsT&|Z5RMAjU8$Z`YEQ6}&o4b-&lawt_A50`
zuyS6N_C)nHL{x&PLJzk*0DK38h5vj?gTdG=E!Myb_s8L?;%B=7{iGg!neqW@9ufg_
z2{uJX(KxU%qeNqj`?hMEw6W$rB0Jv&RKP#v<kMcp95h&O`<;{ItdMHkdIc2DTaS&%
zlNma;$PRjW#EkX$XP;=$Z?5wwuPW4W7*vInV^1WC`5iY}3#|n-9nQYh5n%be{lR=%
zz5gfj=SKbJxh%O+v1Hw&w_0fqJ9q*UTcqYwA7pwa?%6Ur5NsI+R`u@Se3aO?!i>~$
zjz$VF3_r$)?%5v(-&(Lp{`RgfVMAADZgqKCkA<G~TNfF4mv~_WDp8l9dmUJ{L*L##
z3i;r_w|@$Q-t3Tc@cc|^&x<udsYM2U|La3=ckM!q!A2qeL_w_3TFK|D+QGm0*a9~*
ztS3w8nvN^12g;YU)p`?-7aC-nWo8;T{We*1lHJGFrO-3J0Tl?j`{diTF{;j-3N~)1
zx5rfOMY^T4v=F&Vy7Z0G;k4_Z>Eg^~kXH)-x&h(#)7CI**<`Q9_)R>$uE+2Ok~F*B
zvavSTS7_@JPi`Uwc-<ed0*Rh^1DMyZ@sZjxGyTf#D+=VD@A0u`$~jceTw8g@9;52{
zb!1=_U6{*%5T+a(u-6)rRVdEkf4gR5cN{kIP}c0XpQ-_fwpRTbk8}}5=qi;PVTA!%
zg-#PKAKS3hJ&W#!0)MadlRV8F9&>vRtl~nr7?9LzD!<*{w}VGs3&2FN7lfLqP?4J+
zJM(NB<DGvNKmD9Duv9Y4wA4!NG4WP0mQyrfd%j(U{_#E-7%|b{b#FM&HbQ>&Bbr@C
zxwh0dFqGo@K<)3w57(bpgPR1Y0isu=%z>&w%~&&?O^+EpyZ3XY`l-1h*JlSRZFB5J
zR->QbhmNqk_55RgBMQ*Sq+J#kFLizeN_fHfZAZ9el--WFggrJy*z>iBYCPH*V_l8C
z7NSqGKZhz%R;gf|`$-kz;)Mwv&O8f+J^!@dvu%xY3fxgbnQ2SV+ot`>Vm}>a>YG0L
z)V-P+MA6P2!$&(y7x;WZBM!4kw|Kl4!TTs@jFp8$G8oF;T8QS>Z-Upy>1HCq-V`e(
zjr$1Fs6F-GZQ^kmY(YJsTk>@FXsJp~E1H6x5jxl@iXdQh<3M=w--tApIRpJpGNBdV
z4A5X!fFFsiVmY~7+r@T!3jlyKB0lPNC-tv*umiE*uT@2;qgAR^s&q0o&n$Eyq!aV*
z;FF`S*gp~&N&Jn9qEiRRgELFZx~04HM5A0IHchX`4RU)Xs6D2<mhdCzH9}P?W+SAo
zAC<O?4e*XS@W{(jzzuJt*}2xbw<Q*$tv649Ih-=}S&X0o8*o&mQ&EdmY8r!jZyNjF
z3(Lyq2**f>^n(_WJg#on#)Tqu1yqr{+H+uPq;p-AF6mmc3qljjM&Gqa_1iyF|Efm+
zuJN!m+|O3MueovNCU|S^@N>&*-BQa=x9}#uTc_t+2`NM;XZ>2-Xt_neDgu+H=JCPC
z<UI;T3O?(BqUHXa>5S~YMyIg~t4@k6tCEkdV8D5b*J1!KOU_=pK*LWwj|AHa`^mZ{
z0o1mDcX6$J+NNWOK8DB!HL_nseNeW+QMH*V_fDHAx-a4Zvd2kQ@mjX9y@SK%(1Nba
zVbt8OzEWuOAW#v3gCUht@lXEG^FzO5BvM27+M)6O^+9#@&F(h=<ZoOQ*vwS4s574Y
zecmc##jKpLJD()za+RX+2{{ZAsN^Q#Fx8;y;o&h|=e9a@L9c6k@-b+?s(`L{(|51H
zMAYr;8&Wc0FxOT)W4SgpJl1Wl90JdgkxWswuUpjg(EL0UM^`smMy$AI_RVyj=~Q8z
zU*5aW>jPP!oumlo2Y;RZz4<#u5`*LD&^}%M?9-r`A-4bt2gCtrtIzcp+$<-RBWfn&
zJ1Yw508OMyQHgeEr5>m&69xq5T7w)^iT{7Q)zY5<QFThzhS|B!ixLx(=Lt+Z!PV3L
z^}Ut`>L+<d9xHh{{MV*5=`-&FdqGl6iQ{{5GA-_HS<&`#_#ZR<#e$-`m5QmUsp1s3
zA-&aS$sv>iMe@p>r{yz#@hKUw>)J~L99GeLY0s`xXi+mX^{+dCfUS-bZ<Wwd9oT+o
zDjE~4;>u42Uk9w}M^G*GOu2-XnvPcOL(n}Gfre!HU^@h=nBn828%E#~dC!X06lF{q
z9D5$V-$iXi4>zRi7;Ozq)w<*aL|`VzeX(Li*%YF5`45Phlss23#SdFzGy1;h9dvsj
zUCLL?{6Cx@%F=k5nIxT+Dp#Ta5mI=g=1DvS-_OuWMp|+I(^M_fU(o^+j#8Gv%^<X?
zt8z~)YlvYj9BljN!f)<d=x3P*%~Swc$hgk66Bd&0JIx*|C-O^gX!unnn)v?ys&38O
z)u${;rRVt2n@eK+mmlfFDm1WP?Vf{|j+8^tO(1dQW*$PxTo9zZH)jbfex3KwZXhxz
z+Ef_(TNELI^1%%y5BBl=v`(hH`k|pA`;~632v^kJy&$s!&2aiZ=MR1-LRxdW-D%S3
ze|8-3!~EjCrpi%ST}hp0ENAzzK;yEq$wRV7!5H`{J{z@7ugkfr@=`!~>h6aEEsN6w
zt@hU3fch}8<6jpw>s8}73ebKSsZ+4UeXQu`DUcXX$t}yNR3S&2mK0AuX$@m^>_L0O
zuz>}nQ<H3-AqDuh8p>(PPj<Rc!S*31our|pTCB1j1J=iaf`Zt0<F?Sgmcs_w3BI-X
zI6nYkYA;b%QC|7HTQd#n`pTey+`wcXOxgTPOyA2$U<jUNuzk<Xg>}W<og<r^oNNkJ
zh%z%Wrv5I!-Bz`MW9Yq{#ltp#p+Vo(_|UB_z!+olqpLu5R_7><(dz+{uRWc-Uqyhy
z211uJcDon@*K_##R^x}6doMpjOaM79;H@+z&E9Gc#d-719p_D+sg;;5Mfk1fw+)BH
z-2Cqt!C+u8TylBZaQ<E%-AulOg~ihEL;(jH{z*$eW7$xO%DMEnoX6EDFu{m`ETM^E
zhpP5=8L$q|+{`BdeKEA$S3(2oOe`sl^6|E3>jI0{(WWU4#mn1h!T%ni1O+zV(Rb{!
z&7$d{(B^%8V|!Tl5I;=G!!|=&A0_Y8aG8^sN84{N9T#0hadUUFaN-8Q!?<p;qO-5)
z?bQ+2Z2q*v4ibC*{z`^F814P(Ikt_Pm2Nng4q6dfGyp%^k`8olj!n3o3eH|)4-OU9
zj8070lD=YY@n`#`Dl;?pE+Y_bP*qjsK2GCoS@)#C%EK;P()*9<MPdPId=PH;2dMl9
zn}9C4hKsXJacQ?2BvXE_^+01X8BmNubt_%qR|ZK(N}mMtdpZE_r$<}oRU{zn$A1}w
zzMD?Ru*7^*gdT>%xde=W*ic`kECh|#;D<|x4wbSCqe>nZ>~(a=(0xa>@qAG9p&Ue2
z!bJElHQK{FI7>jZUfOiF?$9$Fy)*L+A2}CtuX`j-u@$U6H>J6-dP+z$R3kf?|Demk
ze}}6eN9wg71ldZ5+FafN1BII014*bRA}s9sDsYdzp=e^7KX?0paasqY@a~7@u>MXg
zpFe>KsH+b;&<HXU_)Cbvk&<JG?d7R9N@7el{G(abXbn$K<g?NRCYhA9W}|LZMN>Mw
z;VK^>#|Cwb+y*m98Pi8nuz&D-KYV0X?Ff9_r-Hz1DC2z-D|bIX7ESC5i)<wKWGOwV
zBtJ@hGzeccI3{!uj(|y-|7Ya^3af@SHa6z`;%Nf>!Np4I`Eu%c?teBPnBeR)0HRmW
z{Jrfope}pHz=M8=&`}O(%7+fRJKeZHuHQG2{xgv}O$G=hl)ARLLEiYD@GvfN@D<zO
z1JHnXljH87wW$T_r?O&&C_kcI15=(andIj%;QCUxPIr2mv~?<KU6#(ZVqflo5oF5f
zgNQvQKJTRu>RGe^2!u($y>Z6QhPQgo<k+t)K%E(MD<^s|qp|U<7Q~&83OW}u{=k{H
z;AZ}p=6XdG!K$b2s1pUBm(D6ML3P$x>*c`FhKlF>++iyM530*dOkJLXi%QHava6zp
z=s2MIdZ2<gHk$q9vdD;#)vT3us*C|<;!E!15E@bMaWdrAi<9&|Xn;xnof6y8vV&!X
zfbVx(T~i_7=eDdnJ>UvR!T{H<1iqZu!P(!fv={Gjrs~HRwtM;O429>rq|wLF$!uPT
zp!l|5aL`MWH`C}<cUCSYiU9ee?hiBabJWDm7E03pKu3q5g1A3Sv&&Ouunt+$WXSqd
z;)Ox{?V~l*b)B|T78+J+fC%^B&1kg)4BMC745g&|zh48A=1dq;H83Q(B9wFRs+W@y
zP;n>`hT6M2lyd+YF8an;QSog^b1S_pdbV&kVWJdjiDtKfHZgsK21EXJlUoKeppPOU
zJIH=2_s-YTqn*t@2&7<XshWaG5>GZ8cDhw<6vRBc1(!~D04wiq(^pD?&J64vcuI@s
z=WDd}KxR^Dew3NGjjG<WqHG?Xo^AqEmE4fhLxmD^Xh6YwxA_-jQ4!}Q8{-O+TFao9
z{*t}ZQj<{bI&{}wJ4=5f_VjyP7o<H7|G6nv$1$rMKQkyCla4;m%?LZ*UjpGd>Hm*Y
z$%cVy_8}<!1i`Ad-J6+;;Q4nXYK|^AHi>hvhy{mk!b^q@eF-DQcUyk_eeKG|PB8i1
z&ZB&WXMmD*Y{4KqJ=0Vb-FugNrJ#ux|MYZ8yh#j5H#Fg_s<)EjmN>w7*J}X2!-dY7
z4y4%I#{gApRlg2RBOz+GD2Ng9n^+F>@%FyKBrfFh$F$O=07U+KVgw3A{uc-muoO1G
zA-(g>VYJM=s3;JkB<SmS!Q=*nHTHzx!DN^Cac?*>S3#8N<NRD}c)&5la4^CzUSdmg
zP7~J-?L=qDggRIGR)nUc8k&g<0HZUJD@XuoibNO?7BUM3&{yUBF*8Bx?xYjmRW8&S
zG!WcemF8?`xNLMJ>|w*kKI_wY&#VHtkmq~F0r#twoajK*VLbDd%!JDA{AelQ(NcFZ
zX0W;Y?yp`0POWgjHajWmQp5z~Cb@JA3S4Z*HW|{SeA?uLoCc4MBJd8@T@hTsX<`}z
zr-_<X5>W;6TG=vvHj#lMiGGU5pcl{>8?6G=Rkp*;>gGT$fW2f?5tzw=$}ac+%+99E
z3#_`ww2VITClL7G5jJxnrZ3J9T34Ju%E*rSg8)<H!yh{t)(qN$cYgzP*C?3&rCt@h
z2&GzpRyas#rAvBit6kN9yJws0Hg*9I5#XY+VkTo00^QTJ2IawgbAZVxu>OND1~-JT
zXKVr!ded*McHi=u%eWRAGx7i}^)5L!>L@h`KsJnoU=&Px{>y-?F(CkMuzGd?p4U1a
zk;J6t)y;O+yaDn=Tw5C+O(z3`1v(c^>OOHGHr7Gz6*`;=p#)4D2pCjMRD=ZtOoMp-
zPyLDwI`+z&doMs4b@<>bKfTxtoRe5IB-AlGUdA(7T6psh*AR&V45L=W`Xw<(L}J^5
z+=pA;?XD!jC{`CYxsS4Gw_(-{jl*JF%~xV&Ne@8k!`Sy=(j$NiwFW(~hJ~?P4${Dp
zkQiNo=HCJ#cR&ZnU~gZQa8)PU%+AW{9pRzpJPUC1PC*>Ofaywb7ifL#!~%&n_>rK;
zq6{bN{@+IuC_#isbU=CyL7c^;*y8v2omWs?A(3_p8#Z+5dQ?5(+&KtRhty;b$E2<c
z&SQ4QaMW|!igpq@8i6H2Hc%Sq9Z6nKDQbsrNOUW$wJnnVKn&@{`Zuj%!ush-wc~?>
z(r6~6suUei8U8#wu!-F>R45MWf4JLGZ-!a?=(T%?Vf4l1QnH6}YUctSAUY!&n*nQ5
zdZB~dj<)gGobr<x=>-<*H!f+-!Pk;KcG+f3!2Hr$zZSW1OF~%fxe$t!CvcPpdD+Hs
zF!-<C`c90>G3f39h3;YEsB|pBs~Z3$j|Ep=K8`H-!(!t?ys1Q9t3KkLrJiYH)|)s0
z7=DJwKqPe#E@usjl)7f1zVj4{um`kiQ`H0R?GLdpGQy@HoB`&1-3RMIP(=vBA^8j3
zf$=cf$jZv**vSA^id2zVw4XX>uFV)F(|u4Cpr7Xc<<V=NcS^i=7C*birvh5g*@$9@
z9*{Q}1Jkd2b5i|}FGi~D3@l4F!ApxYN4??xuDy?fsrhw{u@xSYqK|#cAK+c!B~7E|
zj=uee?<EDKaB*d2G~uC0-dasRb#+Ar`+nvtGh#@Hnxzn>G>h@<|0-KDV}KGhKbE<k
zNvWiW939P6;`gk4TDw2)8wOHJn}Fo4?R2ka?>kAkU{@NkD1|wAbsC73gX|6QXXm?4
zvtLN3kGeg?_`w?=h!S3KMa*DjO@lY=GE^<>s=TtO+lFErQ9tvLnU21$va*t|{gpR=
zZS1a*kx?TNnq@h)RTOrcYb!83dZy*EQ0YW|7@54$xUK9T)DFgSfmcBO-8-yCh-hhP
zS*}Z0Nfz3}Frv^IGVwoJC`SH#Nr@!8C+-796`E(`A7D4C)<KL;Ik21BLj_2RCX*6V
z$!TCw8y*8jq5jFnxaGa+9S1ErA}>bA+1JeejsTEQKZ>V;;@RTb#e^aVMcDu=3nuEL
z+0B(uWY|%CQ*RWgxH4GaqJZi(F=ZkU0L=Wm_E+}FpyWd^=bd$1olD!4XDs0E1PB2{
zkwHNeFg_;e;Mxah!tP(vs3mDSTx2vhBg$u2B+%jm6fZG0ZAxZ+vfiWNR5OE<uOJ{e
z*XkdWdJv*|02+}G@U_b0Ao<svwdsFQ?{MB1i`)%{w_;BY9GnK<2q87bNpku|?%;F!
zyOrx&X9JG2Q4UO{$EU|<YOZVgRY_S16+$0el71-D*tbVigWgiYYK6zyf4H}O7|}ph
zwoWovM#ZS@BuM1b@83O6!PEa#0UGv-)?Hi4In-tJ7y`M#09iq37tP#=-p^CNFO7Ku
z#pGo$h$tU{(hGy=-;)IU6Pu~{{Fa75`VbQ&C?|{W#IAdj4hX1YY$tC+QACVR<BImQ
z$m+*(6>ku6$&PL?vo&rWg|ktvo)Xo}M=CB(_-r<ssMXqghILx30bIPfvbJV8r_<iX
z0qX^LtygT%#)@)Px??BBJx#<-ULK`(Wu%au%Bj2l=wERe)J6H<xC~8s{0WNTlStDC
zDHEOloyLD}Ng}ryz=0fUH&s+hMBwGdmr_#kqjuE|HNCngfUKHR6<)8n14!2&_HkcD
z*^+<bIe<p*vlElkS+anOy5Yu+7AQYQjADgfw!T(c^f{-;ZB=l9YXz>fK*qPJAT0?y
zl&3H|hQ<@HMi;*oxf*x#WLEWJQUWRVR@Mu2iv8`peOzr+H+`3c1N^^|>WD0B6j@RR
z4_>vK;|^PC_&}YjVx)<hl7w&tmf%k{+Grxc&4iOT?xrV(>Tg%fa?mf2hBddkwzjX2
zLOD-ptR6J5x8=^?z(^vk52h;e`?>no)T+saw}Z?SF57P0ld#d>2z=j}Z#Kn^{JfqH
z`)i}ah5=`L)m`!TEF`K7kiJLHLCV=Q!8>Jed|Y_5IN)scG?Y>RDPM?l#!<*wMVk|3
zgZvG!%~=q@cy5}Gr<py-C2^~xQRICDfM1S%OJWDLHdiq*@vpUiooQ!IJ<Tg9M%Hne
ziN4h&QA4yj7=oP8GV4ZPo>87vd~CrrLDB}<ak=q0?eUF)V6NNuDy|UT|M;J<@}D#?
z+sB2a`OfXZEo~x+Z|^^TR^IkxMtO%|-c}S0#3JUVk*2f7{8N_r7cvZPUhGO_UQtMw
z85wi?gw1R_nC0Shb}N{QDBi&haf+aGRNdw(?h!qhs6>UI)^$HNbJOB+2j{+n_u3vz
zi56#fCzo6HrYG7Xj~4Z;gbq_KcsWLN#9%89pMI71h@Es^xpJlOk*rpRlD}l~>P5ha
zH!v~vXm<2=8A+e@D%Xnw!~kxCMvFt{Vy3LwZP;iSlt5N_QQ^!OnAKA+M`3eMI`N2C
z{R!rofUEuQ7ysLc0zEgV8(FXW1VW2%iL5TGo!j$Ksx)d%?4Dfx{>FfGyAyQqsE3Cm
zm*T~;A!*5OPseRnvqoV0sj~Wv%YkbsG1B8Y5WN_}c>3%U#=t9YS}5U;{fJy$(=y=1
zLi}Vj{PR#b6&NG*gTIge>XOq9JD(B<om4AK)XNU2rN4y=<{@=k)PWt=)z#e?v6nqI
z0|42gKG?MG2`Ihz6QW2I0+3!w(Qvu8iH&`$LkH>nw&;+}RGD%nXIxf&b<j10<5BCw
zjAf2gkZ9T{*{keq4W%4rKvxu)@|^P-Tx}XED)4LcJK29SkZbNxY!owJxp}0j;a=5c
zGV_e~bOsyflNj?_TYrvflgDyjmQHY?g&@qFFwHL0?xSdIzx}w)!TOlZ7&??^Mq$fC
zHag9+Z-9hD)oV2kk#pP)a0x@X^B)5bwrDJ%*FHdm{NGQ_VyJ?wv6)6-$W^zZS3$NU
znL5UUv}TyBiqrN8WE|_3Ie<5f{XEpU4FU^+w*y)}8R>m-MLVJw*$WItzhTu=-mBli
z1e~6{Bwi5@W~I2TOog3z`6#A!4zcQaG=wck^soC`QLZ-_Dk}@mKwuxG#U>aaT0YW$
zYO>Si+KL>aI)YC06ab-~&13pMl`{Wbri3-jnr)=e+QKK@y~d&^MP7Y1s_0~%S=?(4
zAm?4v^`@AZ7zc*QV%y^EizMPIS~s%O&Cf&996HJ4ii22Yil6(gUAsnAC^Kz?Z{Scq
zad0~RKDy#7wp_{bLad2@7S4d({jLfnGQUyt*t0nh|29&;D8D~BFZ&P?HKk%?ui;H9
zw{Cc3NvUjY?@2NC?I#VgF@t)m@LL-fbd-Tye}e7_n?w^gWwTN+oI;hU8Cb8=KV>=1
z#-<<7m{8Ng{yKa$8T9z;56^u5KgRw#DhluW9)|@bL@ALLK~ZTCkd{yh6%eF*kdW?X
zC`CyDgOFB{jv)kwn!y01mCm7Sh@l4<27Y(Y*So%-XRXIST<Tgbojd35v(G;Joa+qg
zrSO*t8YCEXLjpKSdCZ@GksVoQ!dAT$E`K=H1Q_o)%$uDz!q#LJCkfLpHWGW}r5qkx
z?=zol(+u{v)|-GUa=bYVtZ=>wn8=vT-SzL(?R{Ct!?x*5B7is;J?fzsa@}m@@*ymC
zByVj+`P9#_Wv+tUL|2aT-(a2CYc8Q=6+bjBo%#_;H@LmC6DaK4z2*80D9Q`V%LB#B
zml0oXV`6V_{xmH~2&)n{i}@wq?BVf*56B<(&u*W5tax1od=)0%ygp*WgfmLe&YE@D
z`^Q5Ds~a3&6P=u#)CucZZ9Qm`*MOTP{**%M>irXuQ_~3$jsnx;`2Q~4m~Ie2L1hpI
zVP~n&y%1LmTD`Hgn{9mT>{U-FTy##2%Tzgy?$#cd=D&G=xe)RccjN%UjX0n~i9-Wl
zvCAJV`7|t>mZ?DBD&#D~kVm_Owo{RLW@YziwTsJ}$Bu8+gwfC=2U*|MlE#;eW|I0|
zY5}+S!+A^5@_jQ$r8`yaNdm^=`*FdCGg9aZDY+qUz<?s<F<%jFd;GyFCg)xGvb>y<
zZCM?}I?Q^-Q>1DVqr4jl#s5jzT3@sU{V6>nvnLX2V*KSG!6}q0UC<o3Npwz>7PNG7
zpJV5(-|~2$81*zC66JIXSXXMDlt=%nT{$vBQcCn#CAWqw<Jj0-FjL0Gz;|^RN-ejy
zq0B=if4Hu~Do|~>`;#-SgHn~C1h!oE5*k_n-iTn<`jTM1XAfqa>sG5m(MhBA03XGz
zy@Xd21&nVjZe~C4x)4W`FB4V-sq<bP$_o~GZk-m+f_Lr!O!NpK`+Mb4jbxFzH^B0;
zwH!0hWa<sFd3}YrtHy3t&fGYIPq1USf*#;B8&-C#Gd1*;37Ay{ol)-P>8dz4^mkxb
za@*_{KRJqFik}gVV1#fWYq6Ew^+IEk)7lWU;Z!f%VD$RQm(Fnxgh08bH9@8RH#mjl
z5^v3S_L8>A?(}K9JgoDz0hBRUCl~!OX16eBsc%02w|8Z`POg*fI*QM1BMLF{#m!8}
z1it<;Z&k;9nlEc$d0;;y*mU0nf&{hpgWB5#OX(06*+)s@YX>JiOM>gH`th+~&FtG>
z9<pdS1~@w8Zr;54tB1RD@po2rLH<YiV&$)6paYO*eWA3F_*r+!gf|kuJ8Fb{1y<?`
zD2y_}NNxXo{O(nS#8u0*1J^m|y|ns@lPy9Das*@m`_i4Dw+MUSdL9UAGe}5C7^{b}
zg7WVX)rsQ?Ja$9^Mzo=n+H(KJZyN7TZe<=HT7s?=RNS6UOr+ho?`3<RGBXrgHxY;i
zM$<<wo@!zggXapij%$>c9TW4Tb2xKmD68bx;4>HE>U}`1;QZ!Pu6gE8H}H*kewvh>
z*n(iDMsb~~5*S!}1x0|2Leh;T|Ae^6+Q8e`F^>vQJM`d$|8lYD@p`!Yi`dBz#7ReZ
zV23g_Mw-6G+JBDhUK=W#`FRis%!1<E9y*zcSn}EH;2bnks)RF)X^r<$R95|R&Bf>R
zL07X={*MuJmJ^g!O_YRHAV#k>1f?EwaP+c~!PGNDmtxg>-<?$6A8G-|)2&|PIic+T
z3WJ+>&4JYg8b@egiCHLhJ}1z1J;taB?F#N)ReGA=n~kTbO<1Z<d)aJRK3P^v0v%g+
zX-P?6^Q>*&N#{|5xhWxLU|3N5jtc(CXkJLm_wNHsi8w-F1Q;B5h;|>Q3uca1ImtXE
zoP=1@R&;G(o`+M8pgR6QC}<-(^L4iu-rY|q>)hd9i~P}@EU&8eYm2~51>7Vs|NcTm
zw(`3}B#RTM#eBgN0AEXsG(q9AcL;9A>gHGv)|;bnSJ;^izS(fa`Dpl$(M6un>L3)8
zYNsGUJJ(b!YG(o(q*y>Q(G+`DrptG8?!UEbAP{KwS{^L|Z<Cx02Gv0KO$(ey*1|X_
zH+)+2q@UP%whPrRei|J29(B?$oOuy@LmX(yKeXpjfRKIcjd%pEvhdlqUvvFd4HRcC
zk*nq^Go`XrJ*oz|aJg;az~3uFL-*NJm;O2JoHYDUi<~%yfTkEvyO|RG-T~)9r@|a`
z1;{nGVG!g|d?~)*!;b;WSgHBou;M`h{Y=bn-kYxV6d%$Hjvk<tm7KD2I%Dt>*X@x-
z_c-!TIa%JmGt%tq?B}c-=FJg(ava;>IGF$Xejo(t$j&aAP|#hf$<4L-_|Qcxp|JDl
zfect_zISkNP-}fK{l?*Y(s^~Cv1?vz8Bt;<P@xOx0<5i4WB9)nEmC5x%m8;J3-dA<
zS?tqJr_{q3e*tN9$)2S%7`NXY9Q2H0WtcV*FdSgt^y(1`-f!p20-IMyfs29bvY*Qi
zy8q)>D6eFx5Pw`%yRLape5q5Pt;KO_gUqwIf?C#NjorX<t``dASI*KX=n<Xe;2<sI
z70j<3X{qF4Sq-fUbi`r(9D^$hjVebz(H2&DNzf|_u(%T4sR}tmZhZG{$Th18>}qhV
z^`ezK#%hhfwPW_(ARnv-+`ul`g+MarxBIBAN=c5^;TG7_>GN~x>FHTP>wps)nT*<c
zG}i$=M$BTa4yQzOCr)aoav(A`_VO)XjWeTm6ezl{9}AAV=JtLdcg%m=ln#^`8BKI|
z$0cC-o3hePN#GJj&Fu}pMXEnK&QV~ApkwR;HKeh-9--GgKAd1y<2reSZkwp$sR@4p
zqJZ)eN6t~I?mU%wL+ev!_V#FQRpPxL_K`Irr(CVtg#U~>YZHI&6wCfD{9ov0{(>R^
zI4cc_h=^{SUPwtvnJ+P_MDGL5Xk;b66l7KQmS}TiZng9H!M6D`=yL=HSW0e5k$MPf
zI5`#DuV*l|U-3A&nHx*)-jm-?NA$qUzJ-*}XLo~ITwX=?2pF^!yOKp0lDxdUR6D?C
z^L48uuwWBqQs-TahIWl1;?a>GM(*^^N9kVfq(TwC^^Bfhzg&}hYQhTDie5ZeN4ZXU
zpzeSJp?Y}h12MLl=o*#oBrlf8cmf>B{n$NlBwPO+$=RPAx6>cx@|3EQu16}AL&IJA
zIJY`J%Un(#OgAJbN4poz=VYPi9*KW(>yxVDGqL+zDM7P81}51cY|ec@<`3eOZ$5bp
zV1kcvEBcVYozt{mwv+d0BnMru%az%uCEbsa@do-zQaVt6%R%Uqd=jb%Vx%wZPvAHD
z^0Po8<M1$G0`yF;C2U~F!R;15i=qp*!ZLh~D6k7_VxJVCKzZzL6vAcH%I=3RC#R;e
z`fkoX7~hy_$!c$Fv*6|9n^9yLmYQym?Ht1vOubM%7`wKS5o`_2x=KK;+7}iU-q+4i
zlX~;^t=4r^ccpgjBVBcv<4|1BE-0!<P5oeng{oo^eeiBjHKUwN#K&-FFqByO$-|s8
zaEX*2X5UxP83j5OKDPv1NHHePez0{o$XPR$?9Z%NEZ=KD))UgxW%b+1AG8)IwR?LB
zm_Cd1Y^kav-6kwDhrbOmWPcCud6E2|?|*{(9^yxAu~S+xeXs32?RzZOo83oVVnVcE
z=5@`?g0c=7>^xO!>gpsSF?zJyjJCY%E~SrOym)cxa#5FgOD1$piaBKNqfYnWVD;W+
zyHK@cdhwIY%-|zG_!MHJihR02LQvFZVz|Yn>r!}DEO`#pq{tTj^Ho2)09!^X`E)8b
zvI+Tdnd<Uw+aZm(J?!rrh*5c9N?ZPc4hkimU1E)Htdc7eK#p%)H^a=#%$_#nW(I7w
z`o5X=sd2+ip%|Z)2z-|%?TQQGAzF*c@jPIkK@ClO|GjInBxl}^%j)rRAIM~lpTEm|
zQc+l*Gr6Cia)o$rz=4^ED8T58qrN_fyuK!n`#z2`+WrLfK)K+QorelK!3Onj+LUz|
zSiictwZ8ZoyhznLbFWz`tf1r@i9B)F)%DSdqg_BGWxeajJ^60=bX+wTx_<_zWK0L=
z>b|bWUm<P1_J&hMr#C4oL^`#omaBzVk0Fg0(vSF*l_g;0*A1{}UU+QI!mE}>hIEZm
zT$Y-7i1#Q)F~ak0!5!a+=|6Rg6l+?=Et=X`va6b{Eh@A5$d=pToti7*VPPrs0g@Lj
zr!JA_opp85dA9`VYA8d7XRX%s1U4pORkD|7i{vG^J70>NU`Pw&YodS$4;~mAsqmiO
z6A={^D;~++xzxwb%@IUZ#yws}e$adIgVcIQ{0U)%zdgl=sp;vr68!f`6cA@zUURM%
z%#dAsyZ1g~FYona+0>P<K`1jh0k-s2l5AZu%!;(h`s20V6#Z1BQtRnW6&A1zF`l3R
z9a{t2kW3`PUlnT8^6XPj52QZ9qckT!TNTp9N8AOhO0w8AM!vrBU4Y0Ocwl(&i4Ng>
zSJ+`FDp6w(F*i34GB6nWO<>L*4hL_YlqhuiCmVnoJ!d$IL<By5{08l(n2rGNC}#8y
z_HUwBW(Gy{(Nuz(CMLISHQ||=nTB7X(-URWQSqU1-w<NTahIKR3mkE=u_)TTxKr5X
zV}m>=H*kt>uiW)(sfRX?7Mb+JAD<k>D^DU-?Q%1NGNGAo6hWNnZa?Q;9@JXa7(oDb
zH*6YF4=YH~o`l$U&<t8AO$vK<<zJk8=&l0k>Ue{N*`Yvwh1R#wL*f|R`Sp$6^kf=V
z8OytlYHIh**Hn$M46K8~l}P*D*}RTI2D1x{%%7M#E>145R!Cak{U#sm58YM|-otSL
znYm~7J?FUyuIDoHxRnZt&8@8o+!S@NZ!gf|62-;DOt0z*fxZ5Q+t-PAjEISeV<Qu)
zVw;<q*yxF#t5{3ljh5E7?HeAJdKmk7>X!sC5eSqIw?VJs^FVqqsazj%fc4jJW>myM
zI@8_TNxU&AHZg-`aOs1j{K*P2wk=AU0^mhG@5fAW1*fpex+yMHt}eG$zdyDnQe8XE
zIdzm*q(t!ShJ^5)qiI~Yt)JxC(&bUibmHU919Vgho$$ou-!Y|kj{m^}^5Z5SJ^qMa
zBvj-hqHANFPVu;ugrv@+g|+Vs=#)`X(<>UJBu5)v4mLvR;=;e-LfL_3ERe=HJ)z{y
zpAM-`4E&!xFSpT@RyX$LYmX|?Oe{~|hGj~+eOmxePQ3R5zM0R!6E+Eko-}D)8Tj?w
zH#XMSZFhEeoiFm-PW|!FJO;EM+?5)X-xO3m$Z5Jrq`c!Z=BAR&jj0%X4{)w#!-D_o
zLwq~^QPAeQ%!@p1y+${PSpu65xe6<zqoPK#ygPJiD&i*k#=>y#?>lUTPF)VYzQD)_
ziDmn2I(Uy-_KU-7>4{6IN{6I?+Dxv)&aa=Sh(pO;T`rOTXmI-wnUw(lKkw|q1#oAl
zpS_WCPY@U2>~3u}<U}vn+ubu=K4WzX0w6I_4N{cNWe6#1l!&6=`;zyV5fr+vvY_-c
z!K8?AvYy?;`PNl?d+v_p)kTlLqB^_D%uYYAuQxapR8>%dpC<a_hyh)q9AXEUVVY-4
zxs<4^;)~cCHYn8JH^^sW1@4vVlOfW7<EmuiayPTY=SPt-QR2GYdqd^<baaZ$U!l!6
zS7eGCKR<XUZ3gUR;}*o5qf-dP-t@Wt{&i33@hh|@w(o?aIU02>NbU+%b}4FxD}9A_
z$pwi~w+S%P*b(KX*t1=@P`*&!F6bbv8xFQxnnM7dAMehgY$veH4Oqs>qoIjVuxkyd
zn}Zi<?#wb@4RL8mJSAtS50=oGs(vrCv0So`6bTU$6%_^H78@9-(zY1!hKWZ%#ZNi~
zXp6DlN=)6Q<UbQUoK0^-$F6S(({4Pz^40SDz32G)h5#dJ>Ctl!3+++EUhv7Ru`K#T
zsx_Htn<g_^2d%@syk9rV(6LBFX5wyF>}jR!Y@{#W0te6bHgEl(aUk>b5Li+Yu3`cr
z>k{NX=Bw)eFoLQ-*`AS&Wfng&f-$3|zhqmUp~Wup(%Dxtgb^EfoeczQL&*KrLY8_)
zW@ftzg%L2mg>tmmHa*5q95+n-aO=MZj;KG<t??>RS#1`9L?f*WHh=@k@Im)QnilXL
zcznf#aa!PEJ&BW0BmVbp&i08WIq6Gm2X>bY4-cp4O}rxtuu!Uo8vb^&h2>_0P&z1K
z<m}`C3khI@_vKlIFL2`78V}hXgiOk+)Uv#?{z)=RxwJ;VHSO{sJ>kOTSqYAGvyixI
zOvj6%A!a%YON+b29*~jRYJ+wT{mzU_34Z<GRHv`r`<5`$O1;jQt9E~HLBk~uu|yqw
z{DOKjA)fn>=dv+?NS<9NE(wE_60<h(eD$Odg+QQ8xgI{GN{ZKqh<Ui*4e-pHZZNDm
zOSz5}b##EQ&MhtNCcRqLjya9xWlc#j8};Tu7FFeYHC=yD)}EuGw!X2cWAf7BuIGCs
zd_jU~w_O}O8=&%`q~wv9uh8}D*Si^P==sj61B;BddNQBh-BDT4s1#T2np>Hvw(9!w
zn9%@8G`HU*)=uC%OTB%4_ZZ$ZOHY)(aspA-XwW!}5dg<Ov-}mYLp;V_Eb$pUZ4aWa
zg%M8kE5YqbWBUrxySM$0ys3KeL;;^=s(5(PhYdoQ&a#H~un~*X+?09wp0Z1ckz6vq
z@ooHzb&bpTqkb%;(ltYCGGoeod`!6pX6QG(@=HO!iF%51xy{M%JFZu@aN+O>Sz?yM
z0Jj-ZE^206&+1prVM;9f$BsO5=J{dZ?c<|~YJOp=F}i&8GA3}UK_J->vl@6bW2)5c
zjB@*>)9t+GToBHV#G{8F2)}t8MvssVI@m@};8$mmfe56PDyp?0^Jpe3bTp13pY(9>
zR;4#fl?^M=nHA1bU{`GfD{PYsjFt)|I5}rZdx(myfnyWVuaoLfQZs*DyQM!?3b)rk
zuT(Qf448JmmwmD9?b~QYjwNmT79PUD#pjT}fq8C~69lGQ$@ZU7Y+qt<LuF-6Jy^!h
z5d~nSQLjv(iXzr!k8<1lMN|W8Ed`wNqC@nEEUtZtddv<cdpLYuY}2HoL(dj9Jay|4
z#hO&#zRM_SUMXAo(f=<vNmkArY(`9;f(>4--Pz3Uy>SEG-r;8|?)7PeEPDP{F4dpX
zfzxcVWG<<hD{hJ1z$fo>{VjZCu;aK#`DZigcw^tS=_*9WdSzupMY}5m$;M8Pt`6{@
zR>UI$#`S%7)#eXkphhy%P|9{C1<1=OL{MEtU2YxxQ}d_07>b;Kb^*}Cw*%L~2c18A
z2>M*<g7&=1GoaF7=t`9U2{oh7K^7Q4Dhdk<^z!>@f<KSr`?NI-<1+>c)#%+CYhvVn
zr^^jJeSMgw-MGhU<>1i@upUdn+|w*T<V~^?*&wSWaeIEOBW5AEtX1`;-+pIKc<Das
zKX~bZbQ~$ClKCw8&r^ucpFi^#izX5UBqt}Q^sL#-lI@UDfIokhouj%9B%;A-ZsNqV
zG@MV8S&M0yD2RIIsa}dKxH1tzgoLm*NTfgNa2CFic%Ju)w2n=Isi*C0tb+p*`qGV8
zR@-U2#foBl{lh6Ctp&7_?;l}BA+=G}c$YySGvij!T^-vOjy1AKxa}$*s|OT%aBv=K
zZ|{Pk#g(fG=jGNT%9=_MK{!uq)6q=1v9g6{g^XQWu0B3O`9+0(lT9(u1Ako8YM?eg
zAkd=@kv`?{@;=M~-c7jV8k2h)GX*>z_wL;jpvV)w<fNqZav?`O^|CO(D9WtTzCXIz
zdVWm?x7V4@wL{AIv%4GH+17S&4+6=o)>;KUy4yG~sJo^stxPBj%(*95unacr$f-*6
zQGcSfxB=Fl&@J+xYV!a8(A>vO;pCmkb3P2+Q4RhBpZ7K%e|&OP^)(Wq{+~4Wb+-T^
zSKK@#_(TZhKJ)8b>syRkYfnw?e=W@B@hYZyU3mTN+7N|8%7`LBk<^<#XNkQDJB~`~
zJ=g9N2g#XT7Mck5C~)I#_&<=-7Cr*Mclr?D7whNeUyHv!bD%TR*zj=U3f^IqYBs4~
zys`v-jmLX<JMyfYSw_^750_&2el+AcYhTx$e}uujb3gkrYwc~Qjf2n$W4FA|+lQgS
z<6j{8-WHzl!+T#WCNqj4o`|Z)`RV-7{oaP_^pu^e*kTjc){!KMRYwe(g{g)Mt+YfO
z7=OTBXs5GkoG)h$j<+VnfEIJ1asb%qy0vAVI`6B4v9s{VFZEeJ3ZPH|wSsl7cEbVR
zobZ)fF}}eOs_0U`(L522H9{spb{ej8aUEL&B{6sqvqgZB_ZM7uq0t1YRXO!u9DH9R
z^?9rH#3Hts|4LiYn*Vp&a{SM<by1$~%{eOmN6D|(yE9Rj1AEzzj?RL@&@(?eB#;CU
zEDMY2OEnKu6Gi7{XMcvstLK|kZflG`BW8Sl{p=*`{d=u6;Qk0J{z@Yy;sa`P#f8`N
zT~}ykF*7{GfY0al@D(}~9nTpX?=EUDrSrp_1JGR#FwNA2)H?LSVb<k82#wd?iH!Hl
z4L(GN<F@m+t7g-S{5QKC#!AxOq!oF_rsNDf%64x%F*ShHbo<%nNKWiroZRu7{E-Ki
zpGXhCj+P!p_VB(doN3J+Zo)Er7jGVYA|2cWb|Y`vzvF?%;GO_889$w^lam+lk|o-C
z&?7;=;%R>y6wIloU&(OQR}Y+?ntF^S2;+=VToPHoK*`>GG2bFg;oiMaTu-)Yu(7_r
zPmPvW*)*#6%o<OtCUCMmB<>1waogSCGo@?er<**o1vrwXVgBIZ-8~^hg~gp0g1=@b
zZq9a${gdp1*W?09N@|K7N{8D%G|Hp=R#ymsO{J%QnXzz#<j{8KEl*s1)o{T?R)-X$
z7vaMam2ILLjKG5)-Q_Xl2gWWBr1iIyl?AR7F*hcGAK6}&Kh7=1dKd~kevlyIaVFx;
zO_fM#a>=leI?MB+j{%Q-R+k82ak&Kl7wGqst+mq5GGvJEKl68h=1vPCz?}_h&*j=R
zKKleRH7uIEEV1^RY;DPgoA}^j5)8Alwj@}RXV*J8^Uuo*E1WmoJPlqObzi;yWMZS|
z;k&O;dnd|vt`_AmmNm%G8Wc2@L@DMjUI___A-G*zf1priP1H43=Hs9eu-ZT>(Z(lj
z?vA<~8y@<6WctjP(^KKUgAT{kEM#mYK57Stzf^BG2$}2-KH7Q#L_R)TQc%SpfxtlM
z;JF<4K&_caA&F~f0=dKgiR1@EkP)7Wut<Jv9C2XalJ)5JYVSNd)~nGy+WUR0F50GL
z3EOYR`TTUf8FX==y_0gR7hB<o{&5B`4g(Kdg3IHo;Xw0#Dq@EyAk5lv6rxa)_&z>9
zK6^(EY=nCHG$)6ip)w=%poCB1)r(~_<EQifpp2_QiCHUC5DPgC8|#=D>KDs@0cgJ%
zyMP)Q?iu)<CG-xazPjp;>@Mwats}ra$gF|2<t3{c>}x~4oN`y<t*<9|iBZ?X-83eU
zK0EygKUv7c7z#G|?GeEGLY+q^q7At5LwX#7S9Nj+ES)@{(QcCsMyA?xz0(#~W8xU&
z^>yhJ`@gUxRRAAB6(bN0TGT4dl%$QL^`rOtVL=Jo=t5YD_PO)%3u)p`BfVg^$la2W
z{Z1aBc&3V~pwA1ggEn8<1v|H6M+5CMnFB$%(FueP=#U-X;wLa78YZ<rRPg9)33W>+
zC`4=#^kV56jf3s&_$FKr<5*x*c7^QNxL9yd5>4?DmMWi?K>FwJRTsa%z)D}NtCI7J
zlA2<@XC(FjprH&1-0S+C6*pWp<XM;-xk69v;OePjLd1vy?up**nzkqYaUVWHZ!K5C
z|6xBoSijlaxrC2H{smHq52~WBZM?OhLUAs5uO}?9K{oL8^X&^+-|;V>+dGea+NzAP
ze<&1OTRnS>>KG2Hss)=D+Ecx&e7pkbe%hGGKV-~<-&Fw%^6e*@1Hpo!KfEaM+$&0I
zJs>~UmwZK=ACQ}d_&B~7{NejT%8w*BrhN#|IUIR>Vq%xpvXr#+2<Uau-t?N=>Xtvg
ztD&J$YBT|aO;$M|Lk#xErW&uU%t-iT^s$;KoGCo?>Ub}VX-ffhbxRO_88We(ggmr9
zo)pL@ER5J@{Db1i<9_pQBSO}t=t0qv90t_iHrt=-jGpIeiIKPjae+WET{F4SkUgtG
zL@&LUSXj%eYC@)a)xM20%gAsJZiUN<ftJF=>6iqI$Io)boksER^yLp%W=?ZG^7QoL
zd&>S6uNFb|E;DoeB`|q%aGb`@QaC1lZqsEgIZsU3@7oeIClaD@+n`|oqXskF4*B?Z
zMIi+Z=Tw1yqF>FYkX*h;QBqevT+=ig?JGO{y&$h8og<{mLYMvCNHzFS(JrBtdRx9t
z*60eNdU2VrA#CZ8J`_vQUZ|e4qKl6Hqr9D=`6WohcIh)qy}r??xz|lR<yLM>)Z-l}
z(}%j;YFs*-pG{?4A_I7LPxnJbg@+E<<QY)u4IC;UW9H}_fd*A9{nBud83cmVT-tkC
zjv|m4zMl6-or-J~RDg|lrd&(7bv6Rqj{)*nS16J&N|b)fPAfd8S%=^NdGQY;Kl=|O
zm%dGW=SVICkczG8SwfM($^B2RT9Go`?6e`{YA<BXtlb*nJHO22Tvvm|X}_5I_&9DN
zXlLc~`y+g?*WvaOJMv&kE|B!OfFD<3M*S8`HJ{BjF04bqliZyAO6~kK@bODwA(eLS
z>M?6~Pfc($Yd$Tw+~UZmX<+dFO6bOyGnVLHw)UzjHp+&Y+Ec<8N`hV{XBL71sRdsB
zw|+y4=F^Ke`>D5ZKL-E6?EHBPcSozdyA25J?q#_w%||Dy8v!FU735kkGtA~5eD-y-
zF7C%3Y`^T~Vy5;x&iBaP5pWuBo?8JAsH~Fw=v_Sb1MT~SSJo$bW}ml3kU?KZ$CuFe
zs{s3Ps@00NJ+k(66*h=24J%kx*w-JR3xf}Uw2eUwJ)>s@B_Ur93YHHi^$@CCDG#y^
zU5$uuhSgfQ8iRpNOc*8Wk=W3o%E$(2$VjiH`=AW7t-%)PRm;l0TtVWJtAD9xF-m26
zftK3M#Uv{m38u{F8@78?#rK(&+Wo>m31U^O=e~UTlA4;55`T15H1wgS#_!cM5k<Jp
zNe#nFw#LTGBh(<V++Zr;#3p<2m5|M9PAL$wS%Kf*Z1$)R%L&2KXUM**37W}3ppMSI
zPz1$`*1DOEkA{z%l6vYBc1Lg`c#;)ncrJUx`AIr?mpSlA&7&=Q*8@4<enF14VM7bC
zrWzw7@Ey@P<}1b2&Xa>`A@+h7_)>wUvb&S*!$lVnO}<)fRX?@vkUDC-t?_|5(P2D;
zfsxK`EayXgK|yIzPCq;?@T7PK!BE`T=ax0cTUQYGDH;cQvY7EwbE6JWz|6#hwY|>6
z9vxMpAHkbKnsh^mK%A3(3)oJn(QXNrJv(0|v4aE!Auyo5L+=kp>r30(+B7%V{D7r>
zUrbEw925%GWncM?6*~BNoWEC#LEs+lSPvkiaeKw-NJPV7=$AyUU)FWg)6>-^!oC_V
z-yDLU;c?iOOldDP>L_~!Wb3zougSx~AKyeYijOgoWGu4<je^YeHXlE>OUQtcv(Bpq
z4UpG~?HVH_H}-lG8<YTZh{>d(XStGF@n6+W?qDBE@btb_^7MpQ+cK;1`Q_zm4gG;i
z{L*(e=w-P7)NSgG?Z*$SO*>BuQJo)qx6?f+QN29MjL?hNt_{NxzMDW2#hc?}X=!O<
zM!`Z=o;o7eVYaDvPGx349~m_*?Sh-Tc#{<++KSWDi-9lZBT;k#`4B<Lk@?zF>_I^Q
zc6>+)0oWmrI6a9_Wlw5pEYs8KpZ7LfgUfJ|0l<xTYk5`Y^v>LHY=WMF7xEbOcKBV4
zO2fizvS`gq8`f9t!ypHYp5r$xpLKqN64x!Z*|_s`y4<?m+f-68>AkCdp+mt~cQ*#^
zdmy_UBZ1ocrXyS20%R$p1=T-aJMP>cs^W6Y*TD=(9sQZvPefR2Ym6`cE2dadN6Y`{
zE7Excb_@1n(KY#jg0QQ`fRHq#@IYa@J#$SU-`3U{=`#0RbpTOsX9LyOKfaC?OuI?Q
zXK1+Zz~f5HIdwm<e~tC*&qmo|BGW3#%JU2t@udeD0yjHX?vbv~&COZ2hTIlS4bTR|
zhyq4^Vk)4-@`%q11t$zhJ4~oSCRxGL^|k%FnVnN;KQaw<GuXd~V+q^t<)h((m66%(
zl4hp={-?-o<RQ87ib}g-u-eDVC!^3=GvM1;TC3p0WST@KI$CRk>S`Dan@?TEF3exy
zE#su;K6_d}yDNf{n#y@;aixAWS)w|vxS+y!Y#=s#mt69BBk&a+F93U-zNe3miUU*J
ze4{LsWEFtA*n4atF9Y6|k?+zjU&T{kvB;WeyEd?`WZc3?GgvnWc3(ctAN_$VYu~Wx
zB&WRz`72s&!E}yOrjI{48y`*FID*X{R~`KjL~^0-v55y!53hxbB@I?PKcA~qXKQB<
zJmS=DxE2%ncKD1A@=?5AasbB$LI0eFM%$B3E4=T52>ZfH>qo5G%(MgD!PBQ5jHTl0
zB|x!BSTeBIGynyXzW^V$wYFUS$&)8x`<yvBm4vql;A>g@XD2zw%PJ4P44wnQnKViN
zYzk~UblF>xst7&1x9{usf@HsyYw#j6iqAp)Xu5FdXWq@gsqF{KN?E&^()vadJp)cA
zU2=bT3i*(kx#Rl--a2}(f$WePhyCo+dgG%(U-I_$YTBL}cUb9tdq2r;TD|>NwK?u`
z7Di}jVo+54*3Y;}*#>eL=i?6_KYnfa@?|>*fskvWPA(FrWe=z#BOwW7V`Z(w0eqjp
zBad-NE-+3~yyUK6Y{PyWa@LNUTSy2}@=;osc9Clxte|iT=QbFEy=FT@v#0#`upLlg
zSC!WJJ~bT9pCgJs^9YP{q$*L`&0Zv?Q@{P1JBS@EV`gNxW5e{$lJg$@%>&dZbnn$&
zDJ8%K?-3cFSz{(ewXWvn<-sb?KPFvob^942BCwk0kRAfWS|BTSr4Jl4a40|b0d1Ts
z3hNn`CS=M}r--#%ViGlqcZ}(~T@7AZnEHMXEFP8Mf6pK)eT{o4&vYW%c=wVhuO*=u
zKrjTaT%&Qg>I*CC+PrvEl+MD-<AOyC3sqfRb@jrM`sfyAJO6NOG{p|occ;fLI!7(S
z$Ak6#bVWl&UCY}byU>tA@=J07267=;e)J9JwlK7OJ-2-Q{Q4s?{-9&rS&c*n_ir!t
zA_*&>sH1YbWLE76B5N*X;0eeW-1wXIto38`K-;HrlGu&*qjaTFW#_7Z2)<;*&7(cH
zsY#J#P=Fg&a3M49A39I_+Roj&%}AhdmN`?3hlfX%XHpO>slDewVWw5ivP{(p7EVvQ
zXnK4>P~Z2teQU5Kq5JNu7km)Y`FS-$o2j?oqR5;6er%*BzDYl0&%o}bu10a7OX~_z
z;l_%T-@Kah)G(>BIzQ-ZIH=`yRX0==V%2o-8AJ7x`jJJW_Kw?s-ct+VBv%Y4%?Dn>
z{DO)_GtBbb+|lT$o&XJ>=MI#7at5Z6cH7j@#!VXe`jmV(2tup2>Up&XyW6h%_?m{|
zx@e%S`+5k6J)txBV*A)bNvWy+32R6Km-p_5u~cBn$srBh`5R9%CR(+Gl~f2?Cf1S+
z^$!5PKOyaydXyK5>n*=~UJ0{ym*Ij<esN>Qfe>OP0?Atp-nG|Z4<2F9P|M^q18>+X
zd;AKlF}k`G%eFlYUoSPeqI@?fQACcn1D0Rhu%M=EY7Ag4^BhDZXZ{m$0XuQ+Vn8wj
zaRD)%8o$&8s(;+Cr1qm}<pu{CL$(^Z>Z`~Ik)nao!9iRf*=QV7qTTqTOLS|Qh{?Bb
zC7!c0%4B5d`rEPx_*CcR6*M;^&#CG;#&kbyVZCU!7$uug_np7V-$Y5FC}eqNc`iQ%
zQ=V7e^-0$|*vnz${6@=akexNq_*sMTYkJXo<6E2Cp6&JM@*kMbUGG^Ymt}2PG-)d|
zN)d(i50d|%MZvtpzrUiXuO$wM8*EEZe%Br+VD}IPYyN3(z3zlsQ!W$q^D5d>rIazi
ztBTGM`4@z~ZQ0t~ET4_?FG#pZ_4D8={H9Oo5q*l5)yuy(k2vs!gjWtzq#Ny5#6-$F
zksE>{w`@IaH5K9oITUUO&`d6@dTn^bBM^@pVw_f2#ng+7MMmF7yx~5WUe8aV4N6W%
z(2;MS+je`tA)<I@<;KkcMV1B%+EX^2kr<<(r4U_g6}tehTu@2*@Y|qJrR_bK^Mlkf
z&ygRIp8}DP97^0fiGml4H}~1x7RqZxkw1m_{byq|sH(nrmEMiJa&h#efy#N8!%xlX
zLw+Pfyq+CG2qN!d)X|pw?ky!Q0eMMow`-umiETvx2d-<{u#8#XM4D4XQq$|D!gr6>
z)wK-gjH{x`1Zn86v;?A#@GHg(>suR}<mWcG^i#C}m)6aE@-wKH@lmGL*zu9}!oy|b
zk=mFOR<L}=krvJsTHnF;QmvJ@OX{J+sfm}mM4})B^+&{atTb~<GYhjNde|I(e=7MH
zlGSqm2f+L>_~cvA!MXn9dTeaOt*#I&NyZw1P0kuJ9PXgqg_*O=);-|cF#2EwyL*Xe
z54TWry{OHGzZsE5C=0mtpSzu}Qz(j@lx0qES~_KO;|F^F+K*T<$BFUL(XH*ARfgi`
zifh-e9O_q>m@u(?IEt>Fs@WdhRIYS1vY2kpR92DSY;J+9%KBBA1;5h&^VyZ3H@;ZZ
z1Tqd+dnE~`DU1wv*iETQ_8EP+*jPq)^**Hcoyq3W(WF<jjoK@!xITY@+FC<mvqI*b
z|FXz|^K-rNEPqD19ch;*_Y-2EXSrd+)H4-E(rcmE{M?-L9fGlXMe3<eGk99q;0j0Y
z?ELI(k)5Ms-^KUVz7MtS+$ootUBF;F|1=y2B*q6mEAXVB*~;?~!WWL@P;19t`zw2M
zy>u<=Q87_(-KYjW#6^>zHO3VyZ7py$DZ%{YpmAb>zZr<2XAO34R1bbwWPCP76G5d5
zaYuYE==zj95YSLR77QINAZezZWDgFUo?U9I6))aOOTQ_;w;_Y5ROE4m)s|)3^&+xV
z23-I#8HZ7^2^KpQX`|&I@)sX>m=-48h>IlGl>SGZDdDAIWX|!&IM^@Sx(vWYR^R!U
zh|2#O93A|%91y7e-O|NH*23VaJ+x<NF$9SU-ukv6QUdvS5zf`3J28T?FNl+?eq2;<
zLlFVmzW?$}ocv0%M!{X}MOWWN0yEua4nuTf1d?SrpuaNS*>r)L$LZH#*{<%>i?!F}
zZrC=z82Yf6rz!7%%aSGTx<M%OA9{bMh38hkB?^#E7t}|(tQDS@yj3l@<H*Tzde7=Z
z&HzdfWLQZ_o#p*J%pq|s6Q{70I4`#cXlZiA#jq4Jzz45uU0~xEl)+9NS+<}?+}3|F
zsys^P<%gAA)K}cudP~ykwxNOY>*QZR+IKY4lNk7Q)5CZ@diXgqxVJWTHn;U040H@_
zerr1*YsH+DfwIz9I?)z3-wZ+4>24K3={|kOXY3!L+m(37h-LzuMvp=@g4gFBWLcZV
z$+>#jTQnzZ*+g$)p;v_(2S*obFc9RPOmILTpDK#gjIHV<_)H8H#@^}bqYCXE?FK}A
zXw~FJPdcorggyZT(cq;4C^PIyP5x>wruOL@-*SN;@YwU;j$0UUaR_|>*B(>`0#Sr>
zHY(-tJM^9LchB^~#_Rm;+x~?Fa7!A!&H&nbPAgR%s_(N<gAVhqoC!@3`WNlhIEtA8
ztTz?!`svB&i{Dd6d{3__aVfqeQ6V8CReX77U**g`Swy#Z!1-k_Z>(p+ptyKOv6HQ&
zmX_I8a}rtit=FFhUq?7GUH~X<lKilrVadU|cKpW=MfE!`L?$(>e!ndkd?`3ls{XS7
zLU>HjkF+6Xi)$AJl_wbYbE7iG_L|;QP{<$iXGmXJnOaWjii{?w)V7sDw=uW2CKqb4
zf=#r350@mZ$<HT&%Juv8Za=n%06IUT!}r}kkYtbaEVhadcBe8_xX*vKswqB3FSGXJ
zhGdMfRbHMui|rkOc%%zNSZ1i(rm@%7C1~FZMaNp5u8CggJ{~b#T$)<*9^6#5J_SL-
zet)bre}fj9dow7`j`j%wT#>-QOmsMI{hWX}+3Qkv3fQ;2YPX)ufVXIf2nKJphlYEz
z3F(>a55P-;j(hLDY^oMY_t<zKRMUf+s9u%-64Z{GMxc&=oXW^Aak=;vdhir)M!CEr
z)A+Zy`5*TN{-SZH)ExMtqH1px>W$N7vY$8ba>4!nG(EGx+Zpt0qr8>wE)03g`mpGQ
zu<-9IcW&sP?Ss&`Xi&p|ZZNe8{XM()q7L?6LUds=^4o+}u=nT6tS$NAi@zl%>4~`L
zOO+-wibLnEI6fGVX!fEVfpFHPL>e!(l<nH~gsyQRKB?1=boIROh35BH#ixH^CUA#v
zx0;~i_QUBB(-ze#=fmN2KC4=jz?!M$oh_}mXHlXTpN!I;xu3dBuK!H<eBJ-za6}{A
zubB=<fZ^#R6wA!!*IoUtl#60E(?ey=J8fu|W%cniE4+=|UiqY>S75Q5aShU4*<DM`
zKogle9*=(fXW}-5kNk`;)Gxm?E5D&ad-eU38l%Y!lehQ{%1l1eUe+oJRL~V0EDtT%
z-`6(RYmuvWyw)Gwu-Cd41ZY*~*J<}od3mPH=)X+nKk}vPBcd{UBrs0xrG5C_W7w${
z(ck$XVih}l&&S23yEnCpIz^WIHh1Il6l<dT!R&7gWanE7Yfnjvtlit1XV8Z;310&S
zJJgfQr*f-d7kLgztvIyo?=cg{@`LQq){nMg(N=BY>CG9DcGZYgDw#|IGhrXSOxy**
z$veoPjky$REtd~%iv=ea!J%_bcz;>!GcThpkLl3cYp?d$-PvX-dTstI`Or`4sq8Io
z3%X}dz&N_gkPy*n*E7%HKTA(ly8WbgO&OKGRUD6<WgG0E-rm_2TiN=H-Icb<`|M`v
z(%(yk@VgUo?QFmVYKYAifYNs_&n->uHx~2}Y4k7Q7XJ1|^e@mX8R~>$Q$|PXNK*@q
zCQ-jD=odh1iwsBR0Q0O@I()S;RA=l13*5(R3?jCJoYl44Kg?*N!~aoA3Ag3X0lS(K
z(RSnj%~VU*=64$uVP>|5Y;fu)me{c7#%>I9J<2F4dPmKYa%d#tb@zvp>eJ46!=OIi
zHb=#2%#FFsOSj!NSJT6(0{y<g7u9qFWBBzQI1hU9YgM{Q1#G#Oh-_$HKZ9CW%c$qu
z#VlMuja{i}OFuvPZsDdJ#vFHMo$`iN=8Q;$c5d&S{gP?snt>`SI+mYECGO45dKS}h
z*>Pm+QQyj|=QS@E&_LKJ5R9T>r2UkV-@0D!$azx-R3MZIw-(%NpAFqiN4G(BV+5WG
zQ3`SK$PZ~SGqPDqPW=Z!C!vKthwV^S+i<<2)HCX-)E@gFzSb%vT2xqtpE}A~XcF0C
zd)UJGDCOp(6H)a9Qq&u}Rb+i(*;%SybFx0v64hLodhaT&0+SkwwLstqiPvy9MDMf?
za`7T110L=q-B-nB|IdC~paDrD8-e`B4iVDmPgsoNUFJ9P!{}G%bkbzTykMcw6~85M
zbTD50RDi{N=#d@H+-<mKG&68(1|zp~up557`+E@CiSl20w!^w>iW^O;mfLH?W$H>)
z<&m<rsVVxHy4lrhA>*%1E)u(2OEbf500xI7n$UM=JcAyTwR#wUH}Oti+`+F)-y#M(
zH3meNdf6PDRPb-EOy&t+NFN_RZNZE9Da2cn=b(kZq_Py1UhJ%iXXXLvP&=RU1kPQ4
zPQ6{Ir@BtVG7DodH0}R2X0c}8uQ%)W7g<Y0tJ%N%OLS#Qqd*HvK!0CYf=QF~;)=Yk
zQ7y1mK1VbhiShpwQV@&@F3r=~na_r`^ZgMWy7(t&=JIPdGe+tyzJ~^8)Zl7gwpw1z
zdbNBj!m}ESgio~}Bvv`kSpK7?ok(hbf2yLP34W((8lbQX(KO1oBO)H2Kk)0d_;D|)
z)!q2`y8d_QN_sJLRJ!(-_0^tgiGT#Y)z%Q%?;_uw_Gz*VXcyl31Z_g}naF6+%lOH*
zeNo81=Y$<z4n{5+8ghQD;)Z$&_*o^zMB5uc!7FI|fE$Edv*R`2UNSn<vWgCFp8iox
za{HToWLDT!jy~^-?A(tuu6<0AoHkt&vIkGQ#Hq2585ucoXy3?r5}H~?l!;i2Hhq6e
zaFEt=wEG#yE3O-z&e2_qr-^Ln$#1?<hUGW(7LhwwHZ};wrb+MYg>`Ef*uRs$e&tcV
z(^2wPinAtJ)I+|6gE!W8N!MZ?%P9Xf768$EX>IMJIAc1jI&P!Pn6aA$yBmkB)&f*B
zJF5aer7yo%z8Iih=q9uKzib+Wx$#-hy%A%s_bE3qUe5^7+z56yknZ*kU}ux`w!r<q
zs-7vsguR0G&`6hY;C0oQ$f+sLT1cj@E+pOC$NA#GU&i(h0(4SgysxHa0uwvc<@(5-
zr2Zq-Sa0S;5B;9IyZgW*ZqmyZ_$f0@k{>S*3!YgYFRWzSF*R;{V|fiV0i8XB*2Tpy
zA%Q^4^OX6P*UKBRRG8{-r3hzz@WN(mIZFkjYfm-k4nu+Y*G9wiz?+3gp6)BO(`nT-
zR9#WPRih*pJEJc@ByRw%oOxh*6+hSJ`>^F)_uwt=gu(<iZb4nseV0x6;>}9$_&>Vr
zBrmbZT>Xg2)#s;$j)Z*)E%j9STBlYG7n7=+Kf4z!Y7oV0S3CwYCs4JxS>}FdAwm$e
za{rq@0|%}cvD=#`QJJ(q<x)qaN33bm5|1+LXHxc`Ay9}grypd~lyMCWI}uNkua9ni
zUk7Y)E~LiE10iSVRbEtZxA<s#<M&tl7H*Zs$7ie#h6pm1wZE2X%eB+kFsSY=zo44U
z%tWc5Qtcm<fOX5EA>{mI#kKLW9h)37eL4_qXN@Is{(dzrN@3ijn8<G5l!HFTxr(Nx
zrPD;603YpcWIf}f08(In&TogMMJ-dm?(y%PtF1Dybb-XAOsf?wy+MOu$N*FZ$Urle
z^K0GjZ{AQWc0Q`vO6eK9%**3|);enxah8%oONRQ-AOtx)O2IhyKsK=JM_F0-n8$b;
z_2n8civ?<qHzI=4%62G{Io*Vbz=NG)t}fjTox}??z@+j&=Vq==^hQt5Yp$W7nL(Xr
zV)pKt=HRWx)#YXU+^8}3i;q`+PNH^-X2ah45BOm;r;?IQA$laHU41qBC4~-qtXfp$
zHQ(-wms`S26>?hpQ@-`N{t_{GRPsrD41k_+Yr--4WUqtdZec*T?b%6>&)8(k_SmA|
zQueQ22$Xy?)$fSWZ*Shdv-bP0aayPxO=)&Wu7FII(3v#d#+G(%F<%X*NA7m}Hfspy
zk6OG9VO6nJILO$#b)af0nnK<l&yuJS8KXssk}>Z8_0+(pbd^BxQ*sg$0W&2+t|%`N
z>jv+$7eQkGh8jPy6I;6J*CYI8ex#%)feKppUZ4|V;C2ikwD`y%LBS9e{kR<Yr+l7D
z|Mc7b<H*bt6>MK4kw#4gVNWaA1$Ejvw&#<`s8^-UidYnKz1O;_8FeO7ce*dVLG4c4
z#E?a|q5IK=37Po?4q7q{+=*wj2w3r50F-P+58m;G&W7=+m+;g9rG}sOb)Fslof_iI
zZP$1XMeQw*Y|9>FcpS@0AUCM*>;p?~`OI6e5~;+zDfRZ&@3<fJ6Yl=iF*_)V*S;`w
zqJBBPN4SlK>Cv-jc}?mC4oL~{uY6$e5@^ZZ+SwJpJW(8N6Vq-|>6!?RF)_AlHynbW
zZ2z<+R@}V$WlbZ3Lf52CHwW*qy4ZI~Qgg5em2<Iv0Z@IZE7D^y_$Os;g%1P!nt$|@
zXHyp?O?4r;p6r(#)i%#=ub75!25+t9s*n}7yZz-e|7JD{jfuoWD0FgY%7~1vC>e9?
z9RXKNG-vK3S;W*9U6@y;BSzZnlhk52{Md}HHCoZgykg#Fj0;CTWUP=A<+XdO#$K86
zdA-P&5^nC(Kdm^Ji304)cX^Uf(|AdhB|P_OMeCb4o<VoZd|sNdi79_$8J!iTC5js_
zcYhOJmm2OSFCx<mL$zLc-Om&j7!FqZcV7`a9m?cP#C)DhZ|w0QmWKAyVlMjx!MTbn
zsdX&aDBnDoxhn5Jb6Uu0$hlC*|4r?2nsG4I{>a$C@DsSpnzxfjp}ngaJVKGbgelv9
zY|KNG`VWs&p&tq?|7>x`-K0Ko<D{70Yj*P6w`mj0{`lLS3jN;?DxBO!dt!?Xss8>2
zKqARLmx!&YfYVtVj@ptB+6l!s?}Yn9tfVM3Wo*3e6@stC9<Lc2QhWx?vn<$C+Kb9n
zt9hXpiJV1-_=JRn97^fOUo9w~$}Ic&Yo(q3Qq1XxY+lwaA8Duf=P4w?jjNfFC}O0&
zH0gC*@bX<rhV1p$!S>$K_4i{y^~eieOrZ8jlhl8*ThK%>O@zpjTntTE@w<DV+(=7e
z6<=wzj!KKPw9KqosFk8q2@h{ldJ&c%g9MGwO;i!qTSwx{`GfXyBlhMwVBm{F#`}2s
z7<<OnKHY(Mp2i1|DrU0Ah5s!o(hSYFj%MZ@dKf&T<o&7lnmT>W2nLzpgTdI)%z1hp
zR(8w(N2>$=6kg!0-kAjPE7+f~G$uPXcKI0Q@YGa_lc&|U$l5Dr2W#C>4V3&J<vz_Z
zD_?}liC^Y<HQ*QXc`GgBIdAq64}jMeXS{N@v*&ZH#1K?~O`MUMFCR%QdliVK>}8X=
z7m^n!wm5D=xMnwf4$DzP5#|#Zn89nf{qAQg+Aq0G#%0Tj4>sbCcc+dLt70z;1Zp!r
z`*;zQ8QhgpN#7|V5(ev@;{)kixSk)>C#tKe>D>1HxL!Dut0BL)iNi_P`rpbe7wd<?
z+UUH-8yXnWa~leCjaLJXP^iP;4`KICh(w4gc^b?G?K_Qkf?me&Mk!g`b#8u#rh_N}
zR|sZRPG^0j>a@+PID!%Ae*yh`Wk_5b+3%d@D|!`Me)DU~3_!zrB~mi@Yv8x{aWpHU
z$i+?@U*8CiY1p+<i=a%o%*dA2cRZXDHqx8mWpz&L+egQrBt?{C9s|0+_$eprN~NEW
z0>chgufaV1ik@29@*<xMRXT+Yi(2Dj%WHkjvhscbKd;YN-p#s8eAxVgl<W};9W5>M
zC8p1M$L5dimTEP;*@p?{<6^2ga>=MuU!`N+uQRojQlym>z*yM|&J9RM5UPWJp-5$w
zSS})hO8-!THzTZq+ZR??XIyFeLFg-V-h>YQM=h&vlt)VIc$d^(v6<_b9V+FJhfqsU
zW6|^TRTa9F>c=C&EA{8sJ=T~-{w|{Z&ocHp5m?IIUnC_BabcgSLDl*Wz&mu$*^un-
z?=iE3-0T><*H4Y$mxlD(2RKUZVvK7zn$!b$(s2phyK{UA+F^~F=a_Oi`~8D#ASCLf
z&(DTR#l*yTRCdU6aoNP=0U4OmtC$W>(->ak^@_8gGOPK1p6QFa#O`#@;m;cz_AQj{
z@*T4NE0HmyvC`kZQ-sX`To)s1YUHSFi|3pyAg<F$)ZxD$8$Bq33~jPrxI6(D5IR=#
zt4Q=VLPv3-FCNE`?)&oy(MjH4u$YtWpOmHc@o9p*CR=*@{ZBYZriTQyMR66Ut(6O#
z|1Tmde^vmti0Yp-pZ5&!D7sEIoocwwb9M@A>NVUK@7BgQOsIq8)_cNM0c)s~B%b}&
zy7A=P+m;rdm^oiV-IoEUw3nDbHIfi=A1{slM&Zto*)x0^yG<v=&)@Nj<p*~t-imct
zZ-N?-v`GWvSQgGF=dvB<bJPsQpqroHS@$Qf&tB&94;($Js9H<{IX@|6ni{t&&5XY~
znMa(8Wfy|HtNPH}J=zW}6;9L{=s#S7$WR5P=xfRvm_pfHR#(tpK4UU210WE8vo-iu
z&hAg^>i@k9gjm_7wWZ4>%Ok;bCQFL%CPPb7Mcq7o4NMem-;a<}v=#DVI{jT#yzZ$c
z8Kr;ZkE5d8JX*!-30!not6|No{#e<t+5&SNIcd(`<1u$iF_9YB-u6s-$jTSG{^`>v
z#DF^+Ak$y2#S}7#p|9TbB<^D1{HUwUZ#FAu?bv6#-{7vNHOvVMF2^|Pn$`^j<;68>
z0&!pBVq4nxDH5xwdM?yN)xvKVn87tt8FP|axeZ;N$NF2SwR<EmCmGkLc{lp{$9re8
z*A>%q!&^ciww=uH!Xv%GgWBWs+jssdZvPS8|4zJ2EYGT9yGqQ1=d5mD&Fgj;{_;an
zn{yw%x716GI6RWuI7HY#y{x_J6xcyvq8ivDGbWZvM)NVyFoSewxdfJPnRuOMFJhf3
zmA4`uAYEJXtToX$b$Ud4&E7Po^uq`9n44@$rzT!EyaWS*PtOrD%*dI`6MIcl<mty}
z{caC+ck_vxEXYe=`zdb}5JyQpa2-IAmV=DtA#lqb%|Z*0N~gBQS-shL^b1u0ExN7%
zMygvq%);qjtCmJX$UXGB)M6<?b7seN%N6GA>`b6}+c11fS9|K9CUtE^ZmuzKw<ty$
zi!eZhc0M2z#h+vOg|knl(Eopg!vz9$k&xD5EUG;IAK0n1!M8XYN(DZ2)cNvF>L6p}
zixY-1T%(`+QWp8ME405-SO$DGOWxiX^ff!cgMA=#QBK5r+Z^>*CqcuSiSuK#ktZTY
zH>i*;GgVUDs<Z9oJE3$*@3bB?Lgd^`x3fu*A*dZQBRp#b2x+|0l@JD(&}qF-NOsfs
z^OGiGMH+XzGS*IIKFiwJ*xh6?koJxArRcs_tfvi4y2qac6PIiIKdQ#R_nXP?KX3!{
zKe(}5l3K&-H7(|$ox`2Ju;WBVMQJ_HnJug-?oM(-CQKi98MOC<TfCJ(6yWFQXXvgZ
z8<;EwD@V9?HPD>0eMCUsMw+vdMz3CE_jU=~*3UHF>sm8BYZ)txoX?pPG3bU10bK>g
zg@Nyur)KQ6<eH9;2R641tC+*j@EbKaz)9QvXu*FH=p0e`j-de!^mh+P2hVPAJ*GS;
zw6(ponLt9uE-dzchVn^JGu51cgA3@q-ctGSxx8dv1s1fv#MX_d?EOuQb*>BOg0q`Q
zxy1I|7GIU|*ZKTSro{7=$e9%ZATJuR!nt}|V?Tc>buSSyc)VQsrb|Q<gd&<y7#N*F
z2=Y3dq+3PSrpbDOJnYajuhG}T<waXsO|XA4<OH87qRF$fx6`&?TbrN1%*JwyL(3$;
z<cXoLc?gm)CzD^CRb2b=WdfEE68}?W{rk6*r-&DpQ>E1cPmOaS9;L&IgDhqk>q>Cr
ze8%#fe0km>Pq3`tV$S8n>~DBQGr}WbL1aI==1;e198R#Zvx^JbfLS4emS?2@TJ%y9
z@TL?O6{U$?(0^BPBc%KPWAD4;v2NS{OO(iHAe)9lB4t%ZNs8>9T_p3e*JTz-GD;{j
z$=;i6k`>CHmld*QUAFJ>(YWvDdG7T5et$pz+^?$}*XMJd=W!n6eT?@fzwM4LIvh^g
zS<yA$2<Ztl<cjdOogW$)u|P{~)!^y!3THHdnku%^+eapWj+$yxNv2(=t=W2YDe{U_
z@v3n}``o(^*DD;qr(7T#l8$@1N0exJD96doWcspiR4%~d|7KK_j`-0Fc{LK6Z{OI%
z&ZF4>xUstgMZ>V;cFotfW^z;2z79-t_mdn|og*M{TJm+KwQNa0f3}?*!7chaI_`gC
zF+F}#A|>9&6>9Z-EV3?&t(BLTACPmjfU+FYG{ydnqLq_<!RPHVWCagLRa6AjG7E#8
z;bW-J+BJB&P~yZU8iuqaL_hT+5RkS^xiXa}Yj;gr=(X$$<-rqif0bMFJ`#HE>l@T{
zW4(}{zr{!9UpWR4`;o$!HmY;8Xx%!dQ;lCwY+<X{q4L<lJf40OMFbtondO>9dK%N1
z6%NIAQa^pwWC?%qevC7QkP~0Zkm2otrQ<F$f{%=#+|Ch~m^{L8a%^g9(Ud+9=c=ur
z=If7^aaQRk)}Fr5ICzxHpj7VcYk)C^@Q(zx#_esDprj^yqx<&m@du6%Hyk%!bkXqJ
z6f6EhL`h8#xW42FE9tuN!3~!=B`Hxc!u;P31^!uz!4Z#@I<V!O`<88PZuTf?9=3C!
zyqvx$!xJj6G;vqyVU7-RIS{O!Q7M%A(+d9C8^GM$bkPwiwo^UYtXq&Sw~u6BzmAV3
z8{Ah^KXY?*wC;}H$Q{|nX}~o)!(JYS#+Oo`p~`FoC>G;C;p2m^z@o$&5_B|Hxg-@O
zKNI6vRol|_YjZ2uO*`M_oim71<~=DOJ9YF2n(?<V+XXzVk5Y8>a~@l(ZHJzn(JJ*A
zjG$*e<M4G@V$H+;Rw&7C%F~L{(rF)L_lHRasj8^(8TP)j$`4!`NSJ!-dBC9MqM#i=
zAP))GA>#OS>{IipH;nSd4XrIUaWrp^x-wE6ofV$<^L06V%*7=^C<K3>pnb}lJJ;7=
zDi4VPXmz~eAx@z|@a=a`eVM1&LoYjJ$=Y49Q&3QFl#4~e?C(Za%N7rs(t7D{Y6`G1
zGjWO;pWtB+eP;eTE^EZABG#Z~T>3x73IBk5>C^q`SETwJr-q9)!Z9C4yOBJ`LuVk)
z=x}#jBfKv$VQ~3a(-$hQ13f|Cb@A;zC)jakz3*^UxW>F-;E=^LQMq7YRGatJi}0|O
zr44p{q*u!K_Ta&2!UOUKrv^DL>YjPDjRp`yYxE=GFpFcauV__$YmOExL&Hb|y2Mc_
zZ%4ZcO!Gsl(dmJa90ogwP}w5m6_L>waF4#{B%mV^A8I3BhH!A7008<tz%l2qQuH5=
zCtUFIB_<5N3=4j-_L9moA~&cpVp_woGJd|b^;B(wVM9At_LJ!TZt5;*G%k2&Kg|AG
zlU7jOFoDG9uR#I74!e!usW<+T<I-AU(B5U+H7acO{PNgfwsY_MC%VvU-L1fI{=7vB
zR8{ZqIlpzNX4mEP=a}sYGTF7d3c~Zr@t)9ne@61=(aif|>$nwsPU`ZC^WY+|9H`sd
zEqRo7dL}xJAk8SqIp?aJ=EE?rA$(<4s4dHWkR@8$fCIsl!*n?7NWHwh7~4k1n7_u#
z8LXuyDz!$&!RGU1`V}XEJx(en_l;2-6R~J73GNYwpEY_4T5WFU$_7cgS(7e%cEA68
z@Y$Sde8ek3r;({LCk<%>(Vs0Hzm^I$Og=8YK^|+F*d9Ns!I=q^nsZ~#`IFexzPz9k
ziKBICD5>3skP1t$kx#>Yp<f^txOY|^KjXbBHBa`zqvvq?R5{Vl+xm-OW`d;Rp4Igm
zjD$4t1JVL#aHcEF6(yl#>>eS6;g-f-LC#m>uNWztRu{33O36bJzklM24%o&Rr@q<6
z?5TY|X*5ZZ_}}Yl{yl>H{=Tmj`h9IQc=QIprr{4+ujsMViu7aXEcRfLvWj6bzByH$
zQ%C*m+w+{44oV+NgQ;$iJ5p3sY&d2rb<<{+6SN1>zSPc=>ynZU!J8+c;&>O%7Wqpm
z3R;WCfce4tMdgc*cb1=sA37W`9+8SNur;hI%M`0R{dYCK*Hurj%Pb?mC{sQD=7%SE
znI>u+{MW}`9_T^y&3AiU-Lt;;@|ZPre=J2Oqa|6hqY&fpmjnE7pEyMOT@&RFBaPb}
zDXOw6O7jmXGHk4^Y_OE{a^23$kD}$c*B5*Yhq0nt=tiz*j8|afp0-TNX}^~*^E3>*
z6f1mmf_o4%RKb~(O?X2%dA9=+_YE&LJ8|Cz@8|}pt(L-gG*4{9V_Kt>Ty+7xo>UW+
z{7(`Nl<iZ8HKkBpPS66;J{ckLbWMwXHyYoMyPYm!!4n#%f^T1XNAEb{ALiS)nH(KH
zJx%wh7oAsNx87IJN}l}knfzQ^&^{?z)<gq>CG3(~Fz30|OJ4VGc@hv4a3-<mPTcOg
zJ&iW22!ckLo)=HekX9Dh39ZL?)--G>Vc$N<p-8^z^ZjQ+j6o|~NKDPLU%ie!OuI+M
z>aN8+f1@4>Wis*goIp&@%*@bKv3c8Duf#9Q_ICF1t<f~Q@49~c_%Yvnn45CfJ%^7y
zj+A+)l)TU93M}3ttOgF0r?JDq)$h!QucbWHSM@o@aR{%cx2K2xX33q;Y+m=|i`H5P
z{Hq!iF9gcBXS?GrqnW(-lRWh$AS|?Bdf~QTCUTD=PH}%LcD<^=TyS&s+VG8qyA3{U
zNHwS?{dJF05m%{sf`o{b{<<PT6~`4EnGSX_HB6lBsVXVIJ__nMqpU0&>&wecYu$~C
zt;{K3Vw;{KEycg`tpEP0|BXvX!CIWAvrVgm6baTTg2#GsVPSoJvHnuxc*sR|Mee&p
z@dYVG7mzBSGy@4ai=Y94Zv4~xl|z`6mR^C?yb`Q-QhlPf3Fy)?GBdgG<ZA;CS8_pM
z6k)ZLb-h#pj|ob@);qoHj%9yLElMn4o$&8n)7-Q~c?Mdyh-k&(u5NJf%byy)4C>)k
zsbF!3bIhB__$j@1_6UlUd6Jecam-joQ$$IQou<Bout!_Ywn6^wk`{0T-&ucq>lszC
zH_1e<y{F6GPV8#ddRx1K{UWp+&wpE5IIuK7AI`_f&2+gswQrPe?x8g&K68!Cz0+F8
z{o%K!#Ddj?Wx7o?@gILA-R%(EGyoH9yC;ND_`Lo?)A5-B;2ksGt#~N>K5vc9;H?!M
zr^IyGU`EpxwxMlLB^j6T?QS{nQ4awm7WbBq1c&=j^~$PFt5TJ?fYWSnrGMbtTSw_>
z54}C#Y9$5pEk9cXj0*PHWGyGt?rVINQ1`DR!2a#rv^ZR$YYST+e_r;*xCq`pJja<i
zzViV-`pkyLGfi3M5rM_=6I3|2<ua%mgD>QNIJVUJ!-R4&NYzn-L-0mK9al}XKR^l_
z7T6ah{J<gQ<ujUW24<6mmb|ZDXBoD3S=?jZvjoK!)Wk=^S+}}#_PFEeDkP6&MG@mv
zFe3r#xP=MsnIre%imWUasQNw`5k)fD;b9z1x7OcGvX*pTdS~AQ9<u^hR+d5wPqs0?
znsU6AzCEFb$oU;a@#t<G67>SxC#gZPx%{zRU7a^)!}(pq@@A0h#>dBJNJUM}6@8a0
zl+zXch-#@Xkl9q1MGcvyw%BkoI(;Mcpq^0aXWWK%9;?D)<1LjHwyF`R-WA}M9lgYK
zq5}mj?I?NE*P6z1h91h1?60FU6BA{wZPcB4R3Q1H#dFX^G=ya6O6d!Tc491{sq`>D
z&FPEn3?*S&aR(0myIw_W9B=$N3*c{S3RTlGx|TMhkjZqa3r&?w3+`ce2jyBWRMCf8
z*xTFhEz=TqUStDQ(a$`{kb5EM>G@;*(l}EvBi~(@D|xOva_<K%(ll3>0;1K|gn#?u
ze-wAvF}XWY4=?lgOce{=kW&?H$M4s9LWK+9W%HP2KJK*su3TXS#EpH}mNG2nb-VjV
z0%Nxx!pW|Za%5<m5cl78!e2tC^%9STTD8mL4nEtII)qOI_fPSOB5eT4%t}PDOwC`&
z$;mV9Ll|p0jO!*|bGb;x+z6a;)u!T%{n0;>f@AH>@*yQE*5Z$g;dCt=Y>J^I;a^<x
z3-dedegC_jZH0WWF0&gn&9D}$bcI{zP$2I4p)pe~b-5KfzeIL(He+Z0uiGaC4ym#o
z%65bA(tp6he{({<$D%IJTn@Ax+O08>40QG2T`h4wuyW}IRKwA~TzNwJ%edE^V<cpT
zzXJ}YI^apttc-JT|7jgUT5kKRcd;2ZeW}e#f?nIbp57c6V_%)!?I39pfAlo+VlH7w
zC(3z_-tS4d@9*=^a1H*;Q;7A&1efx^V#-ZR^DE__&-2I*gwmCE@d<`6Yr-+|ZQI?Z
z$hYvm0pazrRXBS1kL%}nfUCn1_@lM}_qargMUnoO#SG|?jFE>xIzNRgYWoPKVLqf(
zr@QPQm%YoC5duJSU5-F5S2U-@Sy!~MY5Jrofg#TFBnQoQnL8Nd8?bU}Srf^B<wp3A
z!$CIVH3dZZZEtH@L6l)1W3*baHHq`Ew*q!-**<D1ZE@K|KTqcbaynxM9Kinadtv_W
z61d@4m$Dkdq{?@#<>gm#uxej6j-^Jo?GnhpeSEjW*}1)1RB%M4_%M$F<)&d9^K%-@
zKYNMDt{?Cax_57cXSWi(Y=A5JZ4IqYqF$dxOmwuaKL0}p`WiBt?3}0{y)8aK#uk2D
z4e!H_r@p-*Pj~I6)PXU7Mc+?9sFc6mA+vg+YHrmaEKIHJ*)D-(gYUM`6c<_l01L<7
zKd!&D5>Ll8fC~;vOo6iF<eoycP=jkyQW~218E+JEah8!`EQqozJ&3USxh0k!{nL&@
z5&1T3fs*JCKQO{_<_t`CbMHI;NY0;?^)^)eG;>lfRl+C_WKBLm6cc`2llH@(&!0El
z<-ptL+Y%6PMeS{k)gX_nyKwFW5KvtZ(5sfg+riX<d=PnI$%gMtK|8){I|U-23;{po
zGi6IdCM2?OiBmnJ%Pe~iX}v?rAGXD$^ck}Jw~1xSJAUQ%c2gj56ms^vRXI&j5QYcu
z$yIalWj=~uZCP_0s*g+K)V_UwP0js7mE71Z<v~OC@H>6MU%K`mKADQ`Zu)X@Sl8m~
zmAYNU-y4Typ>c>oR?(#8&2@F;@vf2NTEj(=<f9J1m(U;g%Y~3Y=iWW1%&u2({{GLO
zXW-|Um+^QI#hg&O)6(UwwgF8^`o^L^a+Ht6T>6V5pO1iF_6J#Y@gk@$Et;I1Tx`Rg
zuIWDmmui9N&O`m0Bej9Jvz`4dmPi*k=)GRp)J$qN+CS^P6m|wBZhu#FV1s;Yv*Y0x
zCm&{>nR;k_Tv(`B^vn3uk%qtkn)-k@bja71n(ntHZujKdo+Q8hpx^$-#e(nz6BCS-
zr7KftaNO{?yI^j0{UFChv6%N<R!;e1^t&Tt+<3QzvmYNPsc;l2RQ=QPci~8$01)X=
z-sm-okCl&L++vGj|J{?K6a^i(_Q72;HQTL-vG_*#apBLhqzXI9kJyg%G?rkt)avR<
zWL)a5rtJjVBFt_`O-thtE@}KxwB~cRv=;5-<bD)k$K3gp`WbMJsgD)G38k|HKUBLx
zLHX!Fi~kHW1Vx|&-*6IvFoEexo5SE2^xyi~O!oUXPP<mxbs-;DN#%`XNEt5T{m;$K
zE!71q@BLK-K_h`o8Y?*V6xoHH^|C3$?pI7aNcvFQUN*TxTuiL?Se{rS)nffY<y@06
zHM^ORR_w=ksUP_s8l>|TnPG<a-+VJvB1%BsDqvw@;VI#6MdAzRA8nJQAscp}1oTIR
zGZFYwf80S+ocQ>7EcuZmN$HkaoDwOw^u_waqaS4bq?%QNYTL%vRF3(d|Ks<ozCZwS
zn3B6)*vE>b4Q+2H{JIs##Y!Eo)d$x69z_3j)NusW7xE!B1vAieq5nbb<FEbbe*+Ue
z)!%Au)0_Q+Zu#pxAg{n_%6{n*x`+#BY;273ZB6!dznmYt!SNgcm2WDA<p23?2!8F4
z46lyjGhkYVIkiwkuA(OYOW75J=jqFX^T*BRcz~BA;m^7Ud&B?IgFc~Kv_BShhTJqa
z?<CRh(?Gx06{-jYS=rpC?9ff<RmvahNXTLO<3NtygBwXbLRk8p)NLo(1oaBq9p>vz
zB=eyV4_@Cq`QTf&AMX#dLLXqSuU>Ll`E_`|k)qPahi*tn6y+jW!)X6Nee-6xG59^1
z@_yDo|Dv=6oTH(zUuXN<3;mRI8zn2{Z~Efn$3xis(}^!2%<JAb5W3@Gf8QQ0Wjvi=
zHN!pF=ZF>Pp>C_IuKBU0rIonQ*;0A-bThPB|6YK%_v`?kPQQk=^^$!BXL9#<(P`aA
zoWDP%Gz*EP9HHjnPsh!hEQAbK#lyohJQL>fOK|>nw{TlvbL4Ud@c;Bx4E<T#RW67l
zX4O^KSo(8a`*C~1w4VNFDEFUhEWHKFsJ*MS2pOt|gZ+pbi_DeZJ{PS>xK%3nqB{k$
zKNkNP_s8ZKehByulNjRa{~{%Rc?vusJIR(`7vr}=NOPNki)#_{;K2i~Kw{aL8VLx0
zj+r*fUg`RUCU?OdZ5|Opa$h^2S?K`M#RrAN9tBAU@P8bynp$aZ<!IG^VV#1=z=Jw`
z_;9;w=AeeGtSq@J`s^CH_MIP_(_f01%u))E$X{>vQ?~y@0t|lY9OwwH)$PXsH?t;3
z>{*xt^>YPA2uy9vKSuN?DI`rRaA9lug819Xs<~&|rymaE{`K4^kfUMFkp5RfzJIz}
zyfH3pIG}DOUbY9y{8&I~^&wMwm1f<a+VJ;x)5QYO#Gam>6NCf=ZORw-ykY`}U3~HW
zHmwu#cO8l@0a&Ano2b9u?KhuX>VMuV!;68gXqaN|P!=q3|Cj6_lZ75&jr49x{pJh)
z+HLqMqi0M!Y;0`X`5|t48rr|~xH966S6W{9sXu-%K9j6kphBCzbYZDJ|B9`(;#~@&
ziS&Oh@SisI$E~49toylhW{y{`lu?N{ZhK35@pMzaPJ4|oZ7zJnn{S(|?624Vhfi8L
zLRK~LX5AT?TUC>L3CMoPjx_JJzsglz9wP0d3=|KvfB#NDk5WOTDz=q^F5DpA4U);o
z<+`0~qMj1%_~|b;ORf8e5v0;<_~kbI_IqC*0dpY{psR>C{fw#o#JPRHER_c!f{l@9
z_dWcRUUhxO^hs8gQbF@JXLeLHb8S<;KU2Fb-(T0g0(1vvw$tJsj3(IXE;xKT{t4Q-
zpJQ^3DKXCF^yxP;M?^gP1r6Riwu?F#NcRN2{%TQ)o4eeD^X7q>l5_-B&msAz-NGWc
z?z@hK9NYcOsspRNX*JJT^J!^nn)063z18!h3uDC!Ruh=j9+SmThj~^UTzpanA(vgd
z|Ko$}8H&db(1d!o`0l74#l_}`H0J;KU02#u428Kvlj^Vj;m>}3k?R@q)1JoW2sw$i
zFOVZGpShO>gvQ&C6Urwe#jxi3Hh3TY=ZAm)7HJJUv155WhHXj3!&V#9AwM7YTK41s
ze;>|&yz;MSBOi=Tx!w=y8J;hh$<nS*xK~;9*4W&Ob@cMjSLi$hub|pk(fgbA|9FKf
zcyIbK<&<(h9f8C9r;WYBE%yKT16^^3SfgH_0>*#bzMt<RRCz?Xz(FNFajG>{(|LU?
zHUfk7mlB}7ea<TB$&Us3IpVO)==Pn@y|d$ztX+hft!ZPg1*vC$^^g?FcR11$!eyw~
z_a^l28CTkq955d{I5ymVy!WKt1~9;H%*4q=ZOT8l2u_?NP&2PNxzA~~Y+ngW{G}v~
zqSbLxddG$E>E43Wv+;cO!Y)8Oi);w<&G{YoLx{m!=tzHe-aUn8B11)8dG|){e0?FS
zAU@XsRwc!n`uZuA=R8Yymsx98J}TtkA;TodPj1lK105HJV4$e6ZmG7H7P@FoYjyV+
zIgGd6`X|x*xp$?+hdc7;uh6%|$)RN4QIqzFpL!edW6z|E@#HbAz~0fjvj`F6QB4<i
zx455=Igwnflxeb2LT|G=wuj#C%d>C8ruwSAb8h<&8@NAFq6M125dO9l^=_?=)x|}a
zGbfJ%u8G$2QZ|J|MRg@0E*u6BQC%Zdqi7iD9W*cr3W>TU%a!cpK<9k7RnecX`nD?z
z45L3YR_QTwcX*b%dkRLZ^&$L{-fc-L&89#ju~?C)VVMkwMEyX)tM1oV9*O|*Wb+#^
zlFrUU-aJl9O<0+>kq`k#d+#bbv{54rgP(o}Qw8?|(O4qAQ!WuV3Zr)Fvd1C}NUbF*
zY44eZ29>s?&gZPDh2{pal3{H@*;aY<AV)7Kb`KQI&Ash8^>aIaUY~#2a<c2MC5P^L
zjdK}tS+%~QzeuJbFaHb`Vd7D;T&)lrRM(IB;7!fy?jkpe+~lwBgcQ~!SK`zwR-Y6e
z@A(ud%&L&8vEc#3mu``i#g8%aa%~2xn!IXxXEjmpUgU5#0>^{KygFGVZ+;zN8jCvi
zRO+H-Po7!!Oc54Saj!nORd;1>m{!;p)wsUCe*5OWQ~D0@BNigM%eE@8U#Bc5JH9=f
zg_^)ZyLt01M~C@(9%`Uto18_aqpjfu6$vY&uxaa0Gfx~B_31hCz~QhpFn>t-TpW*+
z5<Ax40X%`J<@`O*znpu|?YJ@=6!ge>bCTwg&_39e+Bl&PTcvDK*qNN)X~FM%Cw&$#
zIA?<Q<hySVc4;0NVZG0aB7DL!scuovrB@%$zxI*zwZ6(BEd7W+S&_Mgg)hEBDT}+`
zr+3nL#_LXNQ`nI@_L9r*PNZo2&>o)!c9z0y{*-m#apZOes#G*WAI%R0aCTbw6Cz~v
zUK=nHv)vX*4MiP+mrisF$jdgma#34@j}IOXXG29cnKnuQyYSfYVqn`k{;+QM?zduQ
zGRK-Zsu+Qs#8adFk)2>6Fs{-~wx{;>3^v$}MF%zbYKZWa7<cFBc{pp}&yeBOE5rKT
zTxK<1*&Z-?@Q<SLQ{5XKd0cK!-JWD{yGXLAa`;>xg>iakE~-z{-L%*Fk(OLVlfxsK
zfGlas$<fGiMR_&}+tdp%&8SD4uqTvsef%KHR2c15U3GCoW^L-u80|}6SxGKUrbWRN
z$8uGZqQy3qXshJsFL}C{c-Iw4NV;)F&+hZ!V-0#==xO1WX53f+Gr-aYDm+RSJ_(Z$
zO|>O=2fsh(gJ|LYKAdv&Rt~@@JBoO>y4GmJKF73P_S-lVG#BoFI*X9+7HNmn6QATz
z{~+f!jy}&xXQb7Jf33R&W6{VTi;(9mNV_IiF5R|W*r4assm=sOs{9M<Oiae96Zh=H
zfV8rOsH|M>YUxtal=7>TuAY30#<AW4tW#>?Ty3TLJ4=<Iu?;FwP^(6VNilUfr%Z}|
zYiYM%zT>*<`Nqrh6!gyP-%z<mow7W=@`&Ea>NY7T`kbO(zzm$8p?#6U9zC9iPjQEE
z8{ZCr-%X!_nNz;XB~FfOmh(pza`l_<nV0F!;2v|;u6UG9#i3PdDAGgDlM0-Z^gwTG
zst7z0#U!fzn|DLnXG*q;E6d#pZHQH;!u`guoCyRgP2%iCCZMb$5Vmn^6+0G$j7Sw@
zUdNVt9UC;p-<qUiVXa)%0ZPG{-pR0!$GFQ<H|;(j3RB1(nV=CO-Dx^=OC8a6D@mCR
zRO>JvRg=zv=bk;uhl3143?aB~*o-lKRn{F33^(TrgIjO{9dI|4>{rNk3NQ)o$~JVS
z%{k&|G}~Wx_v#In)Y)ayO;swNSP^5!BMTis#%Zq-_tIK}_oHW*>;`aDC4N-k5w|K?
z71PveO;Bj{I@Dv>68BkDo3K-GVW!Vn@_9kXYGaOGg>|0CQ#$@to>%fg2d=cO3VRS2
zVV|(3@bb%h^gP$WOks{Zu;$_<npTLH)g1#C$xIJqT6%jqibrtZUI{ZVaqAjOm}S$=
zSf|BSB_&bAv-f?`B&rK^M?a8+f>tClyPE|DiXjBAY12cBdr0}x&MU`Xk0=HApmW_%
znAq;}!+y*NKM>P=1sl~sE8ws!>RDEFt+6dx6-CEm($i1cUvPTCm~2j*hB{%HZGU7U
zp68U$ew|}}{{ERP4vniY$7+M;Tv<_aj2)0kR~4_%)j5v0rwW=R`n-GyS~QCvW`0U}
zj-Ab{AK+QVfQEJ&1gGIT6L>mSeXXE7k9^o*mS4QY7mA%$3_G{ai-LV~xYTtI_VE~E
zx?PjVLAb}OP~UbI?i=i+IYmaKIVT-28$Ha|O!)knJU{YwXFfs$lx7)O^xp1jYsP+U
zuZG;i-Gub*iAs%u`R-R7&ORv}L3jvPXZfi$U--YXo_e=bK_XaK2%O=R3J#&b{azV4
zsGeVQrzJtba1}9uhFJ}7@<L6^_vgb1{GxLg1^wsCbIM2cI2(?FP1Fey%3q<lp2L51
z;^fX=n+mD&J4^k5G_tSG9#fpEvF{>I=h=W^SuC1JDcDS>HAzS}b7Wk`Du4A#E^dD#
z;`J0q-fZ5mQN#7D`nz=jd0!e;8rQgsU-(8tEo^vsrmXW|`o0O(gOo5Yi?At2$qp8q
zN@Rq#1Y)u&M!P;QmBxlycc~Bbyf?OX=2Vw=WKY1X_!ASs##WnyB|o!;qb#tq?8xq?
z0k5V#SuH=qFyS0tSrHJ9*Gq7nRoAq1iYvxS_T+(^kyuFK5yh{_;1Ih>lVk75Wi7Oq
z7WmcI7GRciad_D$F>UIv!sjV-qpE0Z`(3e`K%XjTRObi^bB{CO*;HK)(Euz4jY>W6
zf$}OM0N^y%B~%%w?<@e-YOj@2HDVhg1h<mp^}fKooFbqrW$$e3*C^vc3^qHVz^Ou1
zF$~Zwk-TqlgCV&T=yo?OyRJ|k;Qit!d|j6#sR?$OxLT*jhvu+TE-Ubcm36!}l9^^R
z5?vQ#8UnRh6?UFd?*Qyk#!Vqx_K@(L>_a<67eWleuB6r7&gE|VdEQcE0AaXf0wc?3
zn!M|>N`QH|kBM3p$R#K%dokxb9lA1vU&DUh1s3o&m6PdRu6y=5kzGY4HrJEoyu>i~
zzNGE#1BX!1qp$13^E}_fz`nh9YXlr(iTp)tCX1tphy8?!p-|~_c--R7F18jmUbyq-
z%00xCIBEwQ#K#bH>u&0QseVSOa9o^AYM^+?=h9hy+f=xzIUm^$K#YT%ARnJGthsML
zJu#Tpf&CJd0!Em^l@Zdt>ny#vi0HjA`MC5|YS<h+3g0vFX#Cw6F71iQlVc;WM&o(Q
zy9<bx>c&mD*Zm+lXlHwhD@)h|bm~elk&#Q1D*>FiOhhN5Wxbgt`_5I-WFB+#2|TG$
zA`!yv|Kxmx1xv9|mhSw^b9Xmc<*mCD2Gy78hBv<XI@8EK#{oC?cA>+{+zYu!GbS6P
z@`*GFA|tUh%C%w7>egmT1R31+=hi-Q>zjVGd(YmFXKL#91<e4<Z+3w5;CiINK+JpY
zD&&S(yC!e$4x2jKCiO4Q?Y|49s}Ti$WH>(syM}|&MGuW4`(8QOZWAVr3Ggh6^oDB#
zRNeQjEsUM#HVeIrgNMU-W7VW=w8??QwNRJxV*~}u=c!L1u>8f8n*;(uBWQfF6mcHs
zu!~mY(bQ2$VA2T(9AqrjWB)To{P!35eu4e2_5-W#vc%Vv&^tGxnIwV>d5k*J*k!#t
z1B<7~-ggC}Elt`8-kW?@WsohhUpzUWVEU45W}-b6^~xktyKcaJ?8DbnLM}o%`@iV?
z7svISaAB$&+fT--Xeo|ab54dx4P#o*)qdH};Hdx(nSvIWOSYzD*i{1+1#J_cR1E-E
zA<g1q5NM>as$a4JrhCd$m3?O=^c?@%?$FOsqMBiE4HIK}fpgOqe}%0h;qz|SGY5gJ
z#W>MYJXt04o}$7_^ulLRo0`VP)K|49-JII76YVpZ@^=>yKY<z#9`-F>_598cJA~VC
zaUw~B@nx3M)p<n^MwiTV=dI1-IR=(O3|_cb-Se{sVE@K9{6tO!01Zd}`KDwZ`QEiO
z)m#(9ChuktmjBj0yFsd)XR6)G4tz*+ZX*#iIrl#gHX^jiO%ay&8T{~Yj$eOzpNd63
zrk5K#D!8?xndve_FHUp*-mP9Bqznr*DN--6c0AsDbORCB>!8s882#>Yy^7PW>Ab<n
z_#(?9GDe4fUf8O5)Zgm<aX%s)1W~Ec4r8_;=Q3z{X|c6|m1@}Qd*7R<$FxF4HODAE
z%%I4difeTlJfjR<6P6Q>VEvMXYMtYClApNm7&0SU_raIGkG0pFn%jtXBqqdUmAjXB
z1DEBEP>1ZhxllffH?tbGB|tHKPr^Ol3-;tSgsB>#1aHLxSXiBafVVdskt}#(CIlGV
zf{unDt-seP3=?=Ul3}+kYM!4IefzKjRkDG(#dBTI^$Ck9kdD(*CCKH7Wf#{5u%hxH
zs=<hH#k^VQ1s+~n4d;!;ee?74iP6e(n1iA;-wJ>O7Jc){xpxrG`L#lDpt7;d7XJGu
zBj-<n&lnoc=px4&AdD3BUIKdHAw&w}s&OJ5mpUoO+S<YC)-FP0H9}1wU5QW}cMEPV
z50Q9GnNPe`u8RrhM{l-6Y$kBy+;s}X{Aj#3Xd~RUqwR4KA}4gKMeFB&1SapXeIUV%
zUa!vZd*Pi0s@jzN{Cs}dgW%LmgaGZJK#0LDNRuL%00bwwGd6vWHYUpAMwLa<uBN@9
za4j|<bT}VVnA*7kC;K`JE{~XM$NE1jpPwgjItmAN+WH}>*m&Ud(mTtsIqP@lR`<(a
zbA=dRkru>?NWU$I&#lX;8#uuVFAUWhV^>BaoI4O+UEz+4c~%J`Ey=1jg8@n!cB&;#
z8zV7PvA)P&Z%PT-HuAXcwC%fbR9HCfe|mkqqUkQ{eUUQ?3GymtAjH1)vd8Kg%w53+
zUMWW$REf$@AZL2ziW$vv-psy^HW<6nX~YJzkJg9SSaNi*wNhQpE+T^9$l(MoZA2nm
zGpB^~RV1GOFT+EXlN@(HJk3%aX-n1Is(Yd)b0(24uaf*`KN1FLElqY(#9U-v7ZBL0
z)7+f9pKxwCa;B0(vuCVXO3)Y~b7+g~(h9*NBwtX2O_-+aL2Cf<K;OIZgv3XSQ{6UK
z_6`vt5Fy;=a<n^#!-<~<@Q?B#l!JdOLZIjaxDrd^xfpV`+qb^o1tt#rg|DlrMN3^_
z+Ug2}ZHiIXz4O7zcyBe#)k9^x-{I4heMO`R<5Qs#5t^(fVP;d>y;1CW{SQP}u``0F
zOrBaJ*y0T~KmT`sQsMX@1B}9tCTZIOa{9&bu?{K++ffp@gSY^Wsjk43-4cX$n{Ds|
z;>W$axV{MRmqO3W3{0_pbBtKzJB_tLT<n`{_gPe|boxw|wAGB>GZhuh)V1Savs8`%
z%IGCk$q#CN2c7Wx1>WXTZi$tojVE0E)Pm`E6U8@qBta>h_>`&Fm>9^exjBEtuy&#~
zv7M+>!|bdZwQ7CXC2S~ZKiUBB6#63YX?r<A#MEW;#*QKTj|)l{m(*kDTT#8&6{r-W
ziDn@9L5aaZ^5{ME;5zgeR}!{*2!@nfII(z>$`)WjudZHbeQ7jNS6644p;h*v8D23Z
z$Ok~O^TKKD-S|m}7gdR1s^lU5e}I>Y@f4Gk(^2opE*N*U1m=(VEhrszmA;9J0EPw!
zp#(g40t;sve)|RS_zy3FiVYy3O;9gbYIoP<GHeS~2Or8^TeUx1n|4J+T|5hK=Dp`(
zR1aKJdIUcTp;&Yn0)NEM7)K$~xU5Zlhh5*+hqjw5qanta!hDsB9uR0re3w544%^xO
zwh9jt`Xl9ftwU|iFgsicVXhP%T&+_@%PX9hr(9R)acl&htnuT%mout>-U+*3VR1>N
z(DvIw#3WJh6q~NWX_DlR#e`@$jfUActpVOpq?y;KhY06#u1oEI0q3YNA`sf!UQQmN
zFY3Tl=%0b}{#fR1gl5H}0#QykI##pIXs-D)Nni-eiY^VUvfe=he9GftY#Lj%HeJ9j
z6@Gaor(|<6RTPOLa^1%r&U31ujx4OrR*=jT0^HQ4!-?6B7o!mSC17R9w3DndB;sAo
zP6k&aEntLa8~SOLCf6L;Hfr;rM2;2$7SlUOj=;T*<%;<{kNU1X%YEh@l6g7DLo9Tn
z4*@lcfuaDTz1AP8O%&3cd|aM0iBG56uYmll+I_uhOXb!5q}5^|z)231<Ptlbpb$49
zh|-;Q%Lx?V9W99ScDfN~z{byFJU({QsXmx1UAqm?SxE;VCrj~6_!Kaj9r&flgT>7*
zl3*YW3}^ug9O34@4($LswFB>_?aiB*hxs7E(lWRwLRf44vxt$?`u+9QIh_WCt{qcX
z2xH>pVjG@6XdE7P1W2gW%RUt#t$I{*OnuCoa3#eL9%A>skx*wNh)uQ465LR4(7}DD
zFZbDNt51|K#pDn0jXc`bHAk9PYyA05<s9jo)ndeVtF7Ibsb1q<pRGWBgp|WU8xpt!
z!3e{K2Bku%7qx%=)Wdxw;YV@&+I^|G#>@KsIGyKuZTdD=6B1LX4u|>I-)oZuVZY}3
zVr%vm&E(6SZ53{9N$E&^2z9io2)L7h(bRH*tNRWdO&bOLTa#skf7pZI4t0g0Fn&>T
zykc@!Q<}(lp<?pwjj7T-B%v)O&Rb(L+39y0)CXfl3?0{|a(#(ZpV4KQ^uFV-z+=&~
ze+GMejJ@lS9UuU~@Rc6y2wy!rdf{t2OY=NyZC={QJoy=AQ~Mr!gO<2&j`+dqZQzcy
z0<@%*u<-GG<J0}xpQ`j4!^2WCG$iqZHK=cG`BNjF^SY{#?MxrJz|OjsffX0B9WS^G
zDRS!Blt7HVM>o4?XIVx^N82B3L>j1X%o<SU$oA@e8?3Cl6?`GS3Cwf;S+`z+0}2!2
zC2*rkFpnmTn&Xw!%qn-o^_fl$V%NktQZpqS$~iZ6!DhPWtJU<^&r!J-j5=mBDbL?i
zODD1jOq2t>^P}di5bmk*yb$8u4I+#Tc4IeBg~_Kl?J=8Ro>~GUbQukCeZ(t3#53OL
zErbx1M2|SGE~qGXVRf8ffiEarL+8w+rv3kLfH~?~m_j=R1XpG6y#;|On^IYHTIJaI
z>f(fN9q_TfGBFmJB8e=%%~;*eDxXY^0pUMokDcy4kK50gVy)CNangtW+?{L9{J=v$
zyS3i9bvfO;tmu7w)KF+zaZ(Mj8lXdA2m#5Z@^}6MC12MpAlabV1~55ZO<LB5{A=-`
zvlHdm`BxE3>siAP{_zgRCf|l@<X40w|7J3C&3C+28PfejzJijfR_u4c%1W5n4cbAz
zXp?3d+XxIZsb-+*Nz}lL`%H=13gkFDG}{FjD2XlPQiwaiVXShORxg1yrPR+}tfaE8
zWsY4SP{2dsyVk8TGj-4;j5^Zc1o;cQn8|c(@(3oCEP|fyKBJm5Im#HS#9x^o5X@!B
zeNMqyWQ=g2jvUOumhf!cD<g?A;|&$PFss&jp1#YMR7!GeU8Mu&qNMB7G}j+*O{{#Y
zqQ{DXFOPV|{}m|Xw}=DkP~!SP(L>^kacT+}R@*e%i<TX;^jqKPeLa#d->pD{uSc`~
zHOja66OgVfezpS^_T&|CO?mKV>LG9`amGJt1;7jc1<T4!)HvhOb}plm)eZm-9V*SL
zXmbnuS5K}ub!dC2U$7YYC_XfD0Ng3JMFH!L#r6_VCD=aaEt3H{XX>jSf?gq~c;%O8
zF?nV~23ylMCDf3G8VS2Y!%c71BGXPnb>Y73t&))=IPDtfDJ+S=azBZ7-IyZtBZaOs
zZQ)Sogk~g~eO*qVv%W<amxe=reJ9nu%k|75P~9TQmUTpA)!bGy7)PsjX1duWx^;of
zGyHCY0_^zHB8HCzuw%`7+W7Azh*c8=s1va2w3`h;`7*5(-*z;oVal@RWYFc6_4!5~
zajq0zM<mbtD*gc)i3a;!_t8NXt1qu#!?O3ZJeO|m3xRCI_Hc3wdOHe$`o6p@CiqNK
zJddE34g3H&^c^?368T_|c7SgarB<@EfCD-@B-lhAe}?Pk|KqU|QC(0DB94R*aoC`)
z=lvq^N=2F7Q7tpe;xd2)S1bihRgtJ_>?0O;$E$G@xn;+5GBogyXA|As=kesOnH*U@
ze;13*;CoM=_hET}!4gMYwwvQZqB0tu7*jO<^som<KRrP%nL~;~V%tYRVc%{@9(l^{
zI}`Z^qfi&bK0{|SqwV!o4+D{7`_O8(9+NbrbhBD7!UXy8d)y&1VAHCJ!NgA5HYncQ
z`J9~bCxPWSu}Q`)?RGw~1?ZDx#~vzSuA+E};0rZg6YM>JEiH=4#7)2j5IpIynQp2%
z&<H-r1Sv}atx8^UUPL2Mpid+C_e}XpfPZ~DXi*YE)in%7ud2)@9eOg|tR`WG%cLjo
zD(V%r9g>jh;Z2k-n~fq7TsM`5v-pU2)fOf4?lU-ptnFp}mJ{1>#v1}i?kRk<-BFj|
zzqsoPfds3uExUYGf{IU&vi|1!3hmIeATE}va<MX7w7ZE8Quo;Ri=tBqj()-@D&&G`
z(0F0FBXIt1U?8W77FNwJpTdi%C@NV4sFsM0_v|=2?%lG)ARlBI*)l{2X>=ED-#<Pm
z(Fa&z2ZIiNNIm{tlcy|)16#RX#IAK^>B~)7VyQpg6;2y#XhooyC#L}(Js6R|^#^lx
zoxx~N!9`1B&#_I>d4R2(9+}F9MWoCC<@r<(Tu?K2P2hlXKGSRWYRQ95_EM#HFJuum
z$=ibx_}vP@XmtrZrOpH}w^w+vC~9c6Ia@01Vm6YabwD{eIW_g`z+EXu4+kiji1SD#
zY?5w<gmutA@FdHa(>U^$26AfZjE{pY35V~qeo=*3l!wf*uK)e0dT>=DSbx6WbtuF*
zh!OXIS_Qzz<AN0uvmx2KqsNpll+|lsyMg#kZDvOp3zc{X{NY>l9eZ95=6Fmft~N((
zwg|el<RqM>xT+}9y^nijFW{~U{J6PySZBfjr>G>D5eb^;E7@}HgJj)44|Hn4<ea9{
zif$JF#HE_mrfhXU@<#y_&e!kBL(u64V@EoE^b$=_NXVLO8CN-Z%mflH5>UoK>O5*S
zMJ<1>^g%XL;po;}P)T7ls;`*vP?wiu2jJv&fpEQS%5V|zmP5bk?Il8=%mIEQ`Xcdn
zR^Y&uTy^SeN>)Xb{vhQ026d1O*bW!!^#cO8DY;YZ8il;zg9NJEEzb@Z&p<S#e^P?9
z+@eGc?rE{-{G$X@xkKGgEY<<6oeDU5;LOWY@~I){^8Kg2kke2s@)Mx>!TcTvT%i3@
zXFg+Li$KD%VvDgd;$B~8w6t}~;ET!ug4xZL0T23c()I{_blf$b^My_kW6N_F&vrT4
zLU>0}+3O6s)o^0xi1&*W+5ASjYNOq#5`G?s8G|FC)H!}^&t@#j94hT*dJAkCNz3`q
zeCt8-wv~`CT{#8)Syg0<wotdA&pMNR|MMLunNcnTe<D*6vQ0e(qXHlV-oaH7I^>$B
zKJ|hWGZFB1LQ?{=`JMbUFYeo-Ru{&&AmwV)T5?wQYeh=I^u_#7+UbIlp}b}#dHw*?
zDNiP#@hq&NSi&oBRs$cU;5^_?5loRC+-scMYpoq;tsL7=wSUG=J7mD)P#4Vye7A8M
zh3h^vcH&=Co*UhO-j-87;3*I2I93`{^P2XbbAO2bd|6u+!&UhTHBj!(Y(b+vF;XwH
z`0>`}ho_VlB3WS;gB@vjmc68yf^+GPsy;}jDD1(NrYA4(<`F^!f_7R})5$PowJZv?
zt~;(9eyQ_h+ScY;EKw~|Px0xw;(oG{6q4?d95HTG$A=43{3kE5r?a_5+^Il=;+%i`
z{+kFtad&r2k_$z-r+zLmn?t>H4Qg~{el$WRFL`!U`q}J;faB_!Gd&{~g{72wq2K5k
z)7k_&ACuCl(&q3NGrk--Il(TedgKPtm3E6mjYO)4QYDSVZ5$?&bFIJj<j+&YYqYD|
zs83=q^{(S>Fy^7Z&~GhQ1>#km{D#CC)>1rDP#q*{Jki!TmJ*48|HBe+#)bUnuz!fK
zjgRC3gc$2KuFjmBdVuUBF^OvaJ;g!RhiiP_-XHc=P17oiuX*%{MYrzi>1hugM-gLH
zXiAsL`NH-x3YcEI)$CG5ed!Y4kSdpjdd^skHn7RsqN@EEgFK$-wjLT~<`tN$KCXFs
zd6GX{DDHIo0%UcIPk_lz-i&<v&<`l>R@t-*I=DUClK}9av^imBRQBx&8LO;fir0q?
zh=A(}KA<Yltq`+r7*IF#jkoMS%+x|a#?IcIaIU5-y^8J<=gmweP-r^Y5FINDI(hAk
z?o#6!06#4fCTvM1fN9Cou<q176;0)@uZd5XvjvU{%7<DLurp>eM-hDz*SCt0ufi~Q
z@-dp`jy$3^dHE_SHO`pvWj5z@D5-r9R|<PNe}WTv!fRUp4h>T^(79tI{0pCy@TxF!
zggthnVH<-v^u&GX-=N-TH8EbVI*ErMJKVgMxd@5~u<~&WwhkGY5J<^<nbqiMvop@f
zC&+c5QED!)s@$N-aT17rn=qqpR!LSuTvG4?OSbvyJlo|6)Dv_`1A<?Pkln~vvKLX$
zvigIS>c%TyicAf&Xy6Nalz`$II>RIt?l6XUW7hJ<XH9OsTLL2Xdwmodw%XEpl12*Y
zpqc`!1M?A3b~5k{l$wPdawl)@MKNtK;^zsNsKu2lvcuXpAgtK5yPp^ei$|~upY4+_
z1r#>l8UO0i6Y6X*4Ez@@zs{<uIlo()-KgJRR!YVAR&gfcN_NL6Ipizr+2&A8MxzC1
zdmW(^@S^UGv%M>L8`^By!f{KHU`s{|AvR5BzRy0s2A1OUASl3%#tWmvw2lj(oo}4K
z&V#t~vXEnCr7sZKQMda|;fT^&wbV-UP3CuI>S4Vzs{t-Ml0)g(&+fcZN5;6E#b~0Y
zhMvI`p#hI^E@D+MWxtpUKF3K}J5)m`U;021DQV~tn+OqOl7ZxRW}|LT3@JTw$~Wlf
zc%(YSc(G;s=p8PlXs)&4Fy>LN@%vnVG-LjdwBImoQ6<{uNCFdi{v3kGHb26aQ;D4@
zq)2vv>b`;qz>%?_uqc$c?tjt}m*E1H`c9G^2pmyzcrH<V!a}pINd29f%qS0{zdIR_
zdPUpXwi`RC?_I7Za1d-d4GKTr9%z7s+IT5Ag8WnubSP2#(135xke54=6hi`?B!+O>
zy}MQr#9t00{9IM4E6b=eqhnShFQVimfBaEzMtnuV=`7N&TJH(g9s#7ZlT|T^H_lXb
zpb@DUtO5_GPdTrC^a~CT#&!r(mZ3U_p>3v0xJ=GhNKu}ppIc89Kr4QxkfP>{X7PF&
z80^aq%@RCQ0rBz+y$FZ>8vo(VtGm)16XvfneDj8&M-#6`{ssW&)dsr*uo<i0R4>CZ
z|K4lqJVTl@_HnHq<z&%}Kr2@}u4hVyigYAcZ1rtzVpA_~EHtC0p>}P?Bduk*JYe}M
zUcQ00VNY9>sP8mXF&3IIl3Lz)$r`oAe^EYRtr(4+79qZP5@UGeG}LML(s@p8U2fO{
znNUAAPy`7>1t|snByid&-Lccajw)P!x%KXJt}Om^yga#w|EEpx{uXcE?;7x^+&|+^
zU<C#kGAqp7ytjKqQo)z;tAc8&e#oX2)3cZhI8UZmIoW(XSCw@7C2FcGI{<J^%pij3
zuWexaa*_J3PHLXq2V_Tg?P5gTymm$2#7O-UJr*hc{05eOgw|}M3rX@aRBS2Zi0mj7
zVEyI#fxvik4Qj2{9%*4-r_mZ2DWsBKNX!A;ST0Jb<9e<v<em~{Z&P1&wvxl!YKrHA
zS}pT;=Uy!cLe<-vo0-CMZ^)XC*Z>GzZF{L($KptqBUJNB5D1(?lXUx@m1+y`ATNI;
zC}qUz;P8P`&p~Fn17rh`aLtft@u1C;FGZJ9xZHT#k1UQe&IZvpcxnU;H6#N{<>}z-
z|51~VcXJT38c#Jo&!DX!$aBUYGQXN#(iV@C=xLz<wTW{0SYo2GqFAp?TGXHeQhq1>
z49_S;^;twp_8&Ci9#^<rhFw!oW@3V$Utg=WEcnO`E(Yn6VKG}-(fv2z!y}pxDP9Cr
z7x%H)+i?xc5@2A7{mMVhZge;}XHFyTwxT}ZPrXAUj}s0qP4}YBAO><KbW1>sx<_@S
zb(e^m^htr=&SGADHevjw3EMzH`i16zEXdP3gNeAEG$V7QmPmDQn$p-y^+mr1K7(Wd
zq-ZvW09A34HDzx;rAq_%{EVN>t3ji^8Qa;C-+Qe(4@>bV)MoF-Nn#VdAZ51zn9O2L
zU7fg!wu$PkHwli2`tAbMAQce&b&?$2lm`|RY`2e4W4d*N)S1YhcDG?csd6t})Sh04
z{9%K*jW?*ISQ&f)ZZB#IwI^y;>|NZvJUqG8lrB(H{KW=>$7+Sa!D&ZyuE&gilYv+F
zn!uq{iU$@V7=l$OkxYEWD>Y~aDu<JJ2C9=yr175+zk@oFB>+iDNJ0diHzQ#io)njW
zi_rUFXdS88#UNo3O-`c|SC<c(deq_~qSvp#uHG7KprR!FLxoh}{w!3V(-2amaSXR?
z(-Oj^aBhJ5!WkzsQE`Q23b?Fon)u_%`^&=hBM)`9BPpDAMuugpECp0LlNTRzf(}Km
z-YuJGs6h`>9xh7DzHem9o}gxnIP@QSMX#&@B5|;Q-|WJ@Mt&@f5(jrP7S3uj9daI)
z4VDgNd0)dTECizZJJ2=wZl(91RiMFacoSKY_b5Qw4imXU!xw%dM^*j)QrGk49bXsa
z@fTV*E9f^rajkzSU<YWc^uBn{Cyk_CI?L)(`%A_?k3xw+fy^?G|Ju1nh})V2#ckbP
z6$f`zgGja)0H_J!$0%Euqu_EbP=R`%*@Pq&<}PR!qH^wF@2kowSK@3HkINgYQkP$0
ztxyb4yeg6wpk4Pd?hU3kO?@Qce)lKR3%8vhySYKyH7|a6G17ysi>*iMp-%hbg!RRl
zzO8P=6ZA^x#(U^vHVS(%IiFWtKIOc%)+eXPb$R%O+>;}pp5&-XSZTVahAs15PCV3^
z!)u0_vRX&NbE5Vq8pE6H@`X<ySjKO1FK*Xb>}guGn(DHeLUPv!hTbSe^I43@6IK<t
z8OPcX2CP^E)UIAZ`ZbZ7MYydK;`J~j2fu%JWAp$|;af0l;uSOYH{)3H7WyBOY?ie(
zJbNt&7Q-mSWfqgO!uP9P<Da!7+3nX*Y)MTAg<I*`&ps#K+H_~TayM}R+9bA6GK=ZY
zmkAk5H6jVLCj+Ax7hcNPqM$zDQgmKKA)wE8H=k@qSZ*v2`L+tb9<P^nOq&9@)0up)
z{ASJT2yP=!mRNVO$EeLL@j4$;{O%EJF{@snb#~HdQl&v^WWf^l9&uL{KhYmNzPX6#
zuTm*IbEmGi?#RLa-sl11Oz)aDWoTrZ3OD{_j_x#6XgJ;@2#`=xw`z4evavOO8xXw7
zoO~qF!DbL$p2jvi4#l^<o1p%d@@LBloyiiSlegL{pF7}_9S+g}M^n!ut;0_E(Sa4t
z8d8aF6$W|9BpMb@x}folQ(=~}?r|J14ZM+rHe~S1(Va{0|5Tqvc8h_Bhljf`7X(p?
z#dG*k0(#AjP2_IwM<RvKAFRikbk&*K30lA1$*l(i(A9Kn<T14c1UnL5(<f5|4Fn;I
zcD|%l>hdc7!`JR&9AIj;YEPrJs>@5{)^F0W>?pQ3P%GJ1kf$TyjfUs*^9^_2G*WyV
zNU_HkfcdsQcT{zCY3dSROzMq#$YGC%jk_V&`kVZQ``T4}4(sk7DlP*fIa~I3l5v>a
znAt@FXJQ4c`92c5b^QVE2%ExE2x08+^r&BJJmV%x|9GMuGC2@^DM9qLE^x_a`(M93
zLf0e;+d<D$7x%f<)-V{fCGjOfNM-21NEXdzbPioQSm}kX43mRkBpqtRg=BI@y*K*C
z#g7%{LO9f6ss(v(LE}%a%L4PV@AqxuY*!;dWjG(_NUhx|C_5#hP%|y_J+~2z_y(_O
z2;Xn+yTYg84+KyDd<lNMCzM7lkA$G^Ks5-&B{DcxH!C6Wr@RP6%z1qJqk`1v#qmYu
zgw6NGAmyoIMy$NV14U$b5ngL_EC+LZF6BbiLqyf0KD-hFhVw!77J3fqVonvT0x-?B
z3_%-pP?FSkPUwX*V4QPX2a<PuBPh^dC1n|$qRw4LYPe+8G-IZa0#!TaoZ;jn3De%_
zuaO?bwU)*A)$qS2Kcy~#>(FK9_$o`Z8z0q^m#)y$k=bxj+?JhK?^3R4*(W(E{zdG-
zS~faEd?tT1oWvPwzZ#h)nzsRQGGREoJC{Whe{XP+bfZw){v`E+oH^KoC}Ru%O<J?}
z2fO9%X27??pa8pZ^p~WgN|cX(j)u$#hP<7=T>~7+lV*-!I}HK-ySavx&nO)YvZNj$
zrCQ$vj9cYJ&E*d-Qc5BIHMd`yv{Qmn%)UBG1Y}sc16Mv)`7i1tfQ{>u<A6+>g+~V<
zukm{g!H|eM4W@VrNp^=AeU?c}fw0!Xe^IxI{Hh(g1d3aQ%dKO$?tB<UD#qJ2P0R2E
zKP*&n+W^vMpr#jB-gY^K-G3<+a=~eNW?;qX=-Xo**9Z<!a=x8viWc`3GjFYj1arP{
zWzh-FU{DFtyP?*HrC&Jv#LgE`=b=#Ct)<L7t4C8tUg}mTu!(5ILHB)+w<pSQ8nV75
z#IzT)l(qB3&*tmgetE|t1FG0DIZt!sB-(;f*b=TSL;mChq1(n#3$&I=+~D!poH}j_
zdFw{v?m=Q^hip<_b!+fD)i@!tRwB$@+ivV4LoVf@fGX=BU@v#_m*Ajmnh^p%X_sD(
zX1r|G66Gs!@d7)0>Xn`zHq{)OmCdyo65k1_b~=`sWRijMw`C=#Icx#sS`y<C&DfOQ
zKbu6lX&8{iZg2@|vr3*!G#78+U0q)A1mCZSMm-<ix*1Bld^GvNA;Jml-jc~X2CClr
zB^WE>C>!ma_mA{+iV%Lh!tETR&N8!6@N(?nMr16NJ=~W|9Po*bxI19e27j7MlA9^Z
zxYIDTXcK`&UC(V$@^~c6Y#r<pvo43C3}@Qp)YHy@y<YRG@js<WX(I`qHpLM=ufDvM
zte~et%f%a;X%)l;D`7U6mF!VD&X{{pIV5Cv=(J*d?_8D;R%{31Lw-ai)em`zOD9CC
zO)S1f1e>&eUdr0D_dv%M6zTCElmB*!OHi=ndJoK8<70)o`i?DoNE=pt@MacUgOZK8
z&q%M5aE6#20E+j~Ei$5E)DP4f?{SWTwajXV%Y$8$&Q7)NS>8)T759$9BXdu8g+(W)
z`IqXF$x>BQePj<iT)`w<BJGPtG~f=e``Q)<X>~~*Y)FE*CNyq43ahYwyRx0lgEmR-
z;B$Ac4?!^w7eQ(apj`Y&N0i5-Qq`h7JA$qX8o4djb)@`bp0F!tu?S48T@|fO4@%h7
zQ2Aw|`Je+NNhc^0)~BdhaEK3FDGu=5`1}nVo#02L{Wa(H8YZb9c(gwEX1?DIh|wu>
zhov8O;{_3@$Bb_@J$Qd`1awZDLUSWlrPyIb+pMA;>J~O1ANN_FjMz{uM@#l}$WH-0
zzRF~zfANgl7lB(`DS3{73$NXQa`Q%ahJpN=5&VI2%}}UH-3R>~*a_)KV{0%kqb2~+
zBe~m<N5zgHyH-NH>`~dY=GBZMUDtU#H}3zqN@9v|wRHIFcg`s8#)&>*TDp6m+P3R_
z47VegV&D*^dpAL&QdeYAc{>5wZu-j*VX{`@Etj{I5<wZ#XEuBHbM8|0%N9@u(yor4
z%Fg5zh<vfndIqym{zmN%$j!^u7C9+0w{u?R3F*Vq3<;<CEWdsl5?1)g@(SbBVen2R
z=B_t_m8l@rPvTM)MLUavi;%1<sYcx^Pyzbd=nkrz`;3I|;^!u(Dy3qSv<*AcA?Q7d
zu4Bvn7zd53+#g@A#DBJeMDLasMB^iXfq$z#ofNdvsp@;68?P}1P?rShS2KF<=<==@
zw^~OTymHQO6glk0g{OHk02`yIupKCR^EzNC9jWFmL(&5Z!?ycP5U84x5PwGZmM+5|
z&VKT=D_r1q;`X!VWJS&xltuuHf}(t)A{$R(phszspavvWHJ~MIG&Kb<NKXW-$%|?u
zSGNJ{p6Ww+ek2UAzmW%!OQxkxAiO7k^GuTAisYrK1+xwewq82fXdQ}d6BZ{s=f~ii
zrq$EJ0UYe&%-vP-y?yAkFkCX-uiANJKh&0x3Rzy-Xycorqt{=wu32dQlm8>{;F{Jt
zK8|#7CRek1xA8)9@rt(h!@W?+qK7|EdnDm2mpXX-LuqXHE2J4Y1m)XQ50`te3NxUV
z1lA_cZ{&2FbSFTM7q>CDyG1G`G}4JcIZ?>se8iT+IuTC~N9M5tm2Dq`^mHoX7%tZ2
zqkg<#sWthso(t-dX6x`jde?qoID7UHhaOa<D|)it9xD~$K467@CUwU3@YOg|IWXXw
zr(NSWxkTbvcvm&|3CP>Jg1vH}NRSHrY7+->pP-^GFX0KH*J_ae45+IbiTQ*2aS`e~
z{5Xex6RH`v3MPABU1DL!LE^R+)6~y(^l<zvg+h|<nvr-rw~+iz!MSoWy`IycL^BL8
zT5sliV;;}hZ~fJ>{<mNJH`(&@ba{G>N$dmo_nv^K!zY~+vyIMtx)<6Q{$P|4pU95P
z@7d{8sRqZxr&VzP+5KZj``?tZ5IH`Gdzo;~wLd@TyVvtyJ>!L6sbFp<wanG#SKD#)
z&jUZnB5n8ijfhpn(<yOFMgN^qqkq{jPn<;PbmwL@$TBuL=6(0SeOm_US`fqN14j1$
z^<Vfw4m#-c;GYV@el7{(!3;Pw<~<=hR+<0Hk)Hq&J^6%p$CAQ-S$*^w@IGrxWBw3C
z{Ouv0ux!s`+dZ=X@=gDw7PdWWX3%>9oM~f!x;5XW0Fk>lu<SRF|92FByH3A0=kFi>
zcND)9y1(xdF8=>+#UGrcAKUdm1@)&J_g&upr=b4ze*IRu{->b+r=WiCB>c~V`Y+YZ
z|2(L_`JX%7sQ)>$J8aJ1e)RtnSIGNNLBpUtPkP0<|L!o5=SgSaKotLfi;mr7Jgb+;
kDg()xII9(M)r9=|@3Cq3`9-~)JPbhK>FVdQ&MBb@02Z;L&;S4c
literal 0
HcmV?d00001
diff --git a/QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/examples/figures/fig1.png b/QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/examples/figures/fig1.png
new file mode 100644
index 0000000000000000000000000000000000000000..b2d44729c383738e1d6441ccb5dfaf175c73278b
GIT binary patch
literal 68917
zcmZs?RZtvl)Gpctf(D1+kU)aFySoN=cX!v|PH?v{xDM_v!QCB#yE`26{r}muFZM;(
zO!ahiP1U<<t!F(F_Cr<-5gr#F002Y@abX1jfard|lwhIX?=+Bc<Gp`yIEkn^DcYJi
zx#~L@12Xzfc2>4dR^|p@T#OwY&24R%XgO#ZslS*xIoUaK($QJ}p9g4d9Zc!I%0e!_
zzXZ-sT-^}>koEsv5Jh~2<^Ti$NC*okxn&${ySgbE-};cH8pTPRwZ;BIfkp8+lL^Q0
z6zN-2wV$u2Y_6Z3U2i^Zb^%j`hr^Rkd6Hf8i=TN<k;Y3uz1W+ada5Vr#dxgmZEg-X
zowTgKoUVATJ!LsM$ret-A>uNdP2_AM!^h~hK>qh#pr;b<M4(6@02&eZbz*`r@PD5`
z{D0njsa%CX<U>LVfyBhbgoTCmlP!FzYsnJ`2)2PPoDNG$`rO;!-`yj0<=u|B6mZTK
z{r(TXef##jv^tR^AjBqSZceeaz3qEq<0NH<+`Z2J;ll?2fLv=r?TIhJe42kqm0Xs$
zfdZtl>vX|&i-?jf$Aip3=Ym*0RlRFNq|%aa<~<Iu0iM0W(7e~V;H6V*lmxfM4O^qV
zQM~EC4ylHpObSgW)~}2D9xNw__I=*6R9O-ckq7)dMQQdJcr+7kn@u=6W_1x2tYUj8
z6YJ;s1OdRCkPoy_|CW3t+v<)7=&fV;_PH3yCr!C{NV=7a=@lAGD?b2$iQGc*!dxqp
zw0Q%F-AHp*sv#swr<tJ%2cZ8_lHk46X^4cIjsO%{-zi#s4B2**1zQ6EA5p1+B{j0r
z(gj5w0MyKCf}J(oBVg{;Ktwv+g=V_Z2V*yF5WpNti^0{WQvmoz$NtCAC!?S?J<Z7G
zd)ttm(Y8=V2y4iv;FHQ+?!xqi!URhs0JzM?DO<?USxJ^_Dzm&QJSizYO1RY=Cj9^y
z1SeC~BW&H0pS%$g!2sB}+GPt!EWP9>KtSZ+%pa}3+rw%K09fbj3%qX<k>pwutJqEx
zY8`Mw(%CCsWZbK#9aORE=e&KByYm8og_#v8Fw2rxqD!6nu93d`xAEdLoBWr_-A%x+
zCiu$d)dMf4PR~DbeD_fa@EctTbKYyqeO57J$NYErNNfa$So=Ra`PU*F5VwV_y}h9U
zy-Esgu=~E7VSRKw9%wL~PX#C7FtNU}Lpt84rxYXIFa^I<4Axg%7w-i;)z0TZ3w)sg
zse@&Ps1=t?W0qim^SMQg<+NR1Nlz<<j{v{z2INx_i==tWIEx`Jk<Vh+if<p&ROKbo
z>wfC=z2Wv6?^}>n->q*RU*{XK;LZ6<?>D|VbVvk@W#hYD@{_g`3Bb=3Nk+wrbzTY<
z5EdDNw30InHfY%qd@XvjJc9x{L6L^xG_0-S=JU0~$VL``Z*E8ZdD?f8p_s>dEne<Q
z{8nZ2%8Iz{q+>ZHs~6H!g{3vfzYylOmzx*cf1fSSa0?ek2u>uIi{qQ*-IGPY?lylR
zyU{4FMtqnmYYOR>^W}zo0z5B+it<zEC9p`2NQ-tSNttvBofa=A>h~W6&vgi%nsYiv
zYG8RPw^60SrwFmKk%9fqo}FYZaym}k<ST9qd{jwK6{jpK^tFNo73GUuR)%_5V57y4
zuW}vZBF)!=kj7i(<(c;QqHgN7n;8J~K2)9rU3j6Uy7_zs^vVx?E@ZcdhlA_e0Y3zf
zKL`SzrHDts$@HLk4r>4ZqaPGauESYqLY{X;f7`LmjJ=+&)e!@LC(1a?<$&!ZiWBe2
zYV9hlj!9+DcngP~g2#L1dD3-o7F7mlfzl!%(Z#6fhfD;#DHZF@UB!rmpn3g*M9&GE
zeUlE^`ZBkm_-4DKUeVNP=9gtp&p0$jkIUuxF}X(w0D63zt-ERx<PuW{H@d`^xPGL<
ze5<;oDH+7u!r>TTpqWLdq$Gv*)LIkAydCkf1_5MD$FJK=JzjdIuCn-?afM7kPbo`G
z3W~A0#L3<O<8NDPxeRaaR=*9V-5uQhD<>kDM7@U`OU?>wEu{s2(y?2X8+aPuVdtNC
z3bxZ^vA9+mFuDEVUeXIwv5FR*n$4wfkd6=YJ{8|{w$s?ja4xaUhn{5{tIBj3sYdbX
zfDiwUxODsoeQ=P54CLJDc?yP4B&=KQxg!y}37V6+BSf{<<rf;%6t$=OXnb3?zBuc$
ze%{Hjk=3qTAY2-Aw~|e|(pBy89*f-Jek#%+zb@;9@0+vP$^eTDrCguy?S+Uuti08Q
zr31intN5ml=ea{Z52<L;Llow*qp)7-6m1a-?p?l1Q@x8L4508AS2k!D)#AMo2L$sm
z*TUq!cYJ2Edm*7bQD3tC<8xtYwBpZo!alS1@*S%T!9%q=&{M2(UJkUt#tM!m#xl<Z
zRf3C7;Y6srveMZ1Km>0m(@VDSa^|nn=0s+RZr{_V6~P=H@r0TRoG8E#`4R;l(s@d2
zw(r;*5-h*-0-iXlb@x{m^C+lvFVW1G94l5~0rnaE;gd{mADz66;Xa9#_9aQq`>m|s
zjmwk5kLFf!<e%i2gQ)6b!9kLqA&Z#7X#5nfc!?mwI}C}|y_8z7K9x1p-?dUlpw$*K
ziWT!N(25Q%9s-b(Ca!!C9IllAqMkM3MNr&YPPP2rj=#zPe)Ao~b>Tl0_D}2unN&3!
zN4sboWP=A~!f8g*X9|o1B7^eS_R`zKH}P!jt6A!W!1+OnH-~LMinf<nKscI9?4*PY
z4lggtSMCPv<8N)mxnDDXa>vNR><#Xk$V;A;?U+JJg<!p6@d~W)cBt=O{NaCutBi3M
zGUrnz-NcM-SBm=F;CPyiNjqOQg<G~@gWaxUZi*c^*Wq~bJ>2>b(AkTV#Zgqmo2{8Q
zx?CHvM*r>v;yai){H!o6n||%-kP)dUR*DIev*|R!E%@IoKMx6(r5br!7Ik!F^7r@u
zb^X_H;-OghQ!%3ClbpHbJHR;2$XkFeOdvm5L`Ac7Zp>6CyVN{*kwHQSk0!HVe7inR
zZg@n3X^Vj(>i0)v37<FoxIXrl#3p49)BGWIJVyWgO6uV{tDrwj)wwkh9Iz;WQUA9-
z+^uImeoZ1i(RRX<RdQucxn_>M9`02v;Wj_L;v=xa6bSJ)j&Jmwot*3@#uSfCRo|)t
zXQ$$sWWnt6=fYN|06V{1@{Cl2PG^>^?$fcVCtcSXu?nR{ZZiI<5QL&lCjR<z#G2IE
zk8pbjJR^5&xQ2P>>Pp#wQ0ac-X~R_wX@TIeo%RR3gSMtVah8Gok55>aFN?f7W5sPz
zIyrek)<RJkx)UfKPmm;T1ge#ZDIBIBcziP@KjjT$$*bId$ugB8X(N)8Q)eS75e47C
z8CV^B;k#IPQ}49Yj2-58E^NrS@|VZMTu$=PhamRex3^vzP3a!&`BqRl+J9wLce%z@
z%ZCHly<+!Y(rWe_q4$iVo!P3PY|FoSCxBzJ2&W2<rr9p;qaq>NsbqJL`G&?7tRzIM
z1*9BnAON=8c*pA6rSr~-Ix`CkLA{M)Vs^wdvHt~O8~+ywi^6@0>XC_xe%T^TND;TD
z#k~!h@@Wz$9~eQIlJb5gPg2*&LIn14gdc}M;l@|?lQ9B1(&cr9qJcz{uhKF%c4&s^
z>z4Qs0K1t%cnuU^{M6bHa^lDiWUZ0~4SW#mTfOc3Ojcs-Be#&e6c6}OAVag#zb_>a
z6cV9>i_>$m7f8>08cbIS4XkjdHYv=SH->Ws!dullzJ2vT6~i~*;fR7a8Ci-LFwS@q
zjY}*25vE*{26~ac6$`iauAw9=J8G*{_^tvs5znZlOYM)wr>l^B0f7N_^MsAUvHd2p
zYC>Y%a9H&h?S`5D)<KWhe5h^N`0bW{YV^?}_w6xeOwo#CImL3OL9#+(-7$ueRgr9<
z?7q|p;P?D=AX|vMoNGVj+rtI=HJY4~;G&psN$s_;7bzSbwo?3II}$%cZ<hPzIS^zh
z1xM!0&Ya*b)-W&iR_3BGBl2A^^VJ#SEcb0UMtSKDguwEkGi%pZ5RH>TNNx|>Va=L`
znH`bvG`=<gI)`^aLbDj|aoJiOB&0r{Lw~?I-V(&};vqb!|9-QI_I1}p0dgAEcx~C2
zXvkZ3zDD8lATr1N_y?((pK~WqddQ-Q_@b?s>vMnq{!mv}SEWV`i+~^`EDXiS#Kd4R
zLyjHQU*QV+4}&v%AvEs<*e%yvyFKhAU);>=<~27z)*c<+cznWVM@iQ4prGw|c7Xc$
z@kOxhSSJN7F{08-t$lA;qX2;^HK@b_A!o?inWknZCK}^r3D$SY>y9v`wARr7+s^E%
zLIL`8Q_%pGLQ&*XbD}Z?^dn~G)Bu8z3;79Bi!_g%GG-(+o)q!wiYkU}o41<0fg!>Z
zw^U;PNYp@d^~iJ(#c$D31#92E;rGTaCYSp*WA6n)2>R;E{0$NaE;6gFEDh|xo{i^R
zF)_ejpTL&ivZ0Yuv7*RTI@2f@^z~k&_uIQ3<j?0Zt0z}_Q7Ycju#z6VxjU8vfb1E0
zXN_6ek2|m2O}xBqiyhUhYshSf>c{~5%Fx2l*5|Aa)3^y+)K{gF0wdV`#?rv~HJoAl
zL+Q^$4)dfs>GIn}wdHmU9{u=JOU{PkQLG74Z~k;F6!irjW7{>*l2BSnM8niPuD|Sm
zA+`L{$fY=T)b-W58X<pp!A6mWcT=RPR982o2R16baoAco`4tXMY<D=2!$3nzJaT7J
zdSO*!;o~YxXO$SZ&Vd&A4w9+7=QNQYfLf=x`gTtHnkk=+^eX^B=vNqQt_))l%g(-L
z1vYN!DwM1&W=mF;A1SRudZm`QPBuc#?pd8mVK%wWS_2BRJm5o+iGm-e^E*2Dy1Tnk
zaB<;vb#<AUnR9Y;A)K9^t2D|Nz=kj`rz>Her%f<ex?T)~UgrYkYUTe;Z*~%=2$;>s
zn<M*qZCCyEc5ge*Ojtz3zNWpb2(aOR!9tb3xRlh>+=+&!CfM`N=6C@NneF?^QE$B*
zJg?)4c-H<zYt!-Kvf{e#?VDndU`s$09#pdAIH`kyyrS*^0fg%S8*X^pP-McP;zq`X
zx_zwQ!xp(*<_FU+bZZ{wS{sxZovqCDGV4kWu<!mx<KPpjgWfxfm!-9H7<(3Xms*hy
zC4*el@HAYE{)gS0*%4la&)>2l`^Koh9#YeZB43o8dfZX=&BY3L^<BTBA*f6emMv7j
z+|T*SN6vtrmc_6r>v^|(4c9v23H$tO)>W52W-=BaK%dLJ##P!VEM=8n7Mv!E#{9|X
z<h?=0s5BNMsacFf$`{|M@woVANqwDBs>#vO^Lr<aODU|iP>jjNL9uN`?Bj5gZ%iy{
zJ`b17)^htF)6AB`Z3pis#Ek{QmC|sYNUUT!L$z3gWtF(HTCOMY5kqOlK1v;#W8a((
zSWSFgMp=0_e?rr^N~^nT6OX4&`(wwV(v%tvB_o$#4`wdz+Ii2>RP}DQ9tU!BvXB6G
zTo3mA8Ut~^`Tho3vQXdkZ?dRg4Bmx4fd-{E+s<xpzxM!O&)2!e03mvtJNhQ^wWUu2
zIInf59H&rE>Tu2I3m=ymmS3Vvih=<aUU1~nQ2($GRna$PC%Z|Ol~Xpw2cPjbxS_~q
zkSh(;noryHAhPN8N8+4ca<U*!y>+jz6KxN~4BTIA+uyCa=2cap*mk_IX8FFlbKlG;
z(&I+CZTy7sIX$)f4;!x2HwRfbE!CPY)LY}JRA_~9IPPXl3Y{<iii`7yA@V}$>+5sd
z3L|^3)ukKJ|9?H8iGE-BT=6%f(#He@$+rvZ=i=KDSYW*q2>81?5r)NC4wwS#o2tmR
zk9ny~I9Wo3it1DNr?@tG1;d&wHy}C%6ptx}M@yKMEQV;;>Q?o96>P@$6rnbwku8rl
zZq4<j=d{e?k~8q8#f6rX&zvI=g6b8>Xxr&C_x7TREUWDv@&~ytI^1gfzy|UaDH0J;
z!r|J=d6Nc-SdFEMDPPnxlg9SZ7Dw#!Ya#u}qJQDOis^>YJ*!eo|12IjHUsz4kq$WE
z7YH+HYcx_JDP)$6%?Nv(y#>=i0LL~Ybxk!t2a6&Ojim_&#IHVHV_8(2!p1Zi^6@FV
z1;Kq!#TPiNX^f`J8ABHg&@iL`!ee%tPbwI$6!MiV&5X0HzY}L%L>6N2b{*3#zI{&J
z8+Me~yNx7~S=ek=@fN~fUhGM}sOI@pZ6g3PUBT0!7}v1Q5-D-mz;fYJ-DL0@48tU%
z(aJV{@S4#C_=OFE3_F%&F47nz6&h}0OpbG9FvZ+*Br9sByDW)Nd!1}|+y%Qj7++ZW
zZar8kAMQ~e$}W7*B>0XAK4;uNd28TrnorRDFMiC~oEL0xM;XiH!qWA5_>PYxHc$0m
z89*cQp*AD39BytxWXgsV6_IP%_hB|3mX!X=%38Y#_O)v)o(xPT?2boQrM!J&&CaWB
zdkIQ%P<`hCdQlY840}XUiz<o>DkwM4!Y$KLgg^csq)kYSfk`ZC(U54eE=DundN%6E
zDVdzdTu)w?kSwVRkenMr3Zqjj^q0CM&A-Wxg9H4~FcDqNcWLvjo#kalSrxK%@rh-c
z^l~PWOG}GAc-W#7c1mz1#9SIfoz7A|$w%EH>1CI2Vi&sp7J1~Ot`!G+D@aS0tt!LV
zN)uDmS?>%=E^8ljOAQ=hoQg<}Y$aGSj{NZmu2f=>ng2QdZOne;0p#a8OaIwMEumMK
z(84I3J%B7Rgty}M;zlX)@F@(fuH0Wzt`N(Y(M#K@l}iU1xW!^Jp`{m3YWT~jBX3K(
zgT<t<1sQSq8x!w&p^!rzjqdS5Ux$l1j#jK_Wc1pNa6R+)Cm<MRNG;LH!G=gtnc05c
zvb6)o@I#D~_?r}0ql_*I9~Jcy1w(+LC*!F~=4)kgN0Drv(vUSvP<yk^u1bC?hLbs*
zat)zLYRjGUgBG~l_AmE~V;RUz)8cmt^Hh2^O?~>`$M@PKFhPK?^pMUIl?$-hMlC2P
z=ss}zT~Y!s$8&@64|kZ1V7ET(rqid7YM=4{hgHn(A@*4bzXDb(ji{9!ubfG=+Tr!A
zsG9puocB*p+uaCsz5X8&=)LaGX>TtF{Fh0%J!fZO5emrcec0Rbl7|K$bAXRPw8~Za
zg2p%7r-o6zj15&545G$(jsYB*@bU)v*5AIqe<E@BvV}Io2PyqS7E6TZ@ibGtjjBpz
zGqi6=y~_f!B-_=w`)0*b5+0|lObR$AT`a6S+kcMmUOuXzBKO|qV5zJ0vw3x(TqsTT
zG`0GoT-joz?I7}W^T!<57^0az%zPn*_brYjOyx>-OhayqC!o2mP&pof1|sqPKn-fn
zG2q467Qg{^Vsvvq%IY&8q2HFi&ef-{r+>(1>mWo1?1UL8Tw~a?)|<dv7rb==A2Ji%
z;H4ywdMzE36w1&RRg+q35&?c0h&H=*>?S#y5|6+(bP8z>`MnZ7UoFftcE15Dvsgp-
zlY#+ryrI8)1Qjp+!l@XV&a|lkj{SoV>B<+NL*eao+0Z|ILgR9@)6?v)szFl6M?!sN
zv+e@5D_qMO<nS7b!Y-5(s!)PV=t?+F)LoJ-)!G${%HWaD(|UUk-ima0DiR0{>ND|c
z>-DT*bXt%7Zhfp<Tlo2HP0}e?5vhiRc;*UAJF^Z1tAv)OmSnss*U`JES<tKfBv5|;
zpuxpfUr||E?=W3QWGso;zuL&p|5({}iz^z18^r7VxUp!OEn;nLJ<m1s&KSI-jb{D^
z50vK3v$Gh>iYDlEHd|2}8`{_BJw6gnPF&eSbg>x1zU;SW)82uB?bfTYp39x#$*2sC
z|5;P<gc^Q}%E5&6{7j@$-Kv|{`S-Jaoks3-)7G+qf!$7`>Q+f<g`kCn1(xTdcb80*
ztd2cTwSjc_OMIL3ZblL@(b-ju{QV|g-=hh7oG>-I>BcQfCa5}1J1n~);nyx63KjF;
zF|Yny9wvjZsrIM52Zsz^4B8^aoThk*bWU;;`T2xpRVx1=OAmU|vmoxdzzF07XQ_05
z%w_d3P-{CSs^rbdt1WrG<`u2N(&?k)Pw0YOPO>xuoCw7tR_7=|KIB~dD^77LRp-n5
zfwZ6sWimxs1cT>HF2n^C<zu6|M1%C38^MlZ3bVSZ@4a7~Y^vC{MNETs$WJ_7G7*4K
zq;2*`&v;U2#g&lZMmat{TDeb2mYDma42vG(W}KCx{Y@NOjap#!CT`wn24?~l)cYA0
zJKo~$?JdJ^tLoNF#X@al<|Fkcs#6zd_lc4+C~0*vEW4buWPa`!#Pts#W=-&FQnQLV
zpYE66rCpmCJtOe3?&pQ`sURLt(!Hdf?_S^q3UbF78sOMr6}=ybo{q$@>3DT7mT_Be
zv!$w!u?QhQ$rTU*{OC%>)AzDBScb)uJ?WN`9TlV8h?=5HhjtVLS66;|@9~t%=M@Sx
zT*G!C5)u-oa5$3kKKw;bNKW2PHO&&p=Jnoi;*^({|4EkR_5lY6NBd0tf4a+$O}48q
zN+jIe_^vDVFb)n5=MzH6T|GUJvW1Fy;w<mNgh0=oXoGn3i?{t&FI?;E<B{7@dBYEN
ziJ-KYm~r#^M{h$dH$q}B9A6ghc(BFG2NA?#mDd-ZsG$KwYr))S(<i7tm%TsAl3WXl
z-Kvidiiu5Sf?LgA&ncY4G6WwwKQakNv2leuZF?drJuhh`(o2?ig`cd@Q);Uc#Hy8U
zWPQrS!5el=BP33kze)iu3@H!s@C95SRcCw*mnrY}y3A1`Xk<+tYS)vS>T~sR#sT#H
z0R7=I$b6x1ePS)@ct6hQ_7XBX?Kzd?B&oiOllQ#MM5|gUKS|W^@~Tp*&y->WbCpQ&
zcpe5aa@Pi6)am0_x(kQ?FutKF+ne7K8LE;C{P8y+P8{+x3q$+aIch(Cv;8Y<6X{K+
zQe4Hlz|dF^F>_%EC666H{GNb%E;%=%@^kTl_}1mFOOvU0D^ASPlyoz<Q|UF|-w(G<
z4v11^ea%ylbMBWJo*xzJo~DK<06((5_R@tcI!>0vY);Yo70MDdOWm;$S!FHj(1sC-
zyetgcnnZ6Mdj675FQv}rc<9W-XOmDg_s!dP&b(V-o&3bKJrxdUbZ0#4@>}4M<XR`j
zc<v(gIsD<PV%IazQovezlVFT1+i$xoV8)t$u^B?N^}fUo%#|}vt`O?ExUg2VKU!#c
z9OQSHVExaT+oG)MP}jI$nfyEP`}^&f$+@`#?q~mi0Q<r3$s32ImHmDYkj)FjXIM61
z>B}Qu5eKxk!rvrbnx7;YAOJ=|9Ea)#Y8~?@oE^j$Ivg)ZZT0b`zyaJHL?_wqpNi3y
z6(=Uu)0X>op%GQN(Jb>OV&IZzCZh3=0MsW?im>*_XT5;yw=F1-uxu3*Dr;LgRI&_$
zK3<U{8A+~g#nwDynd=3Qrzyp!Durr?qMBc|r3RCtP*S3C^m6^EYi-JuA$;5hsRmCu
zal|2fWRm?crji8|^{pEHt%%|1m7<wt4>j=0yEvu2L8GCDUQ16>`}yPCs@2zJ)CN{N
ze}(6wsLc{n+VHmLDOg>##et$#x_JhDl!06i#J!(;^yom2E(X(HW1qCx?KIO(w4%Et
z=2jR7<bJBC=p@&HQ&?P@bOv75j*-oAg~i>Wn^;Zag?+*376VL7K{6Xd+F%*qy$SO>
zhda28k)DS0$1>sK?h=$@?1f>;ZSo{>ya)M&Bep=M!M)e!Nzt0loMF{DDSDvzMjyQ$
zD{9g&an82stFLIBl!`&wor+ju#gG@USg1yq8c&1dk?K2c+}15mJGpp?Z?fFv47C{j
z&9<rVwN->$R;=Y?J{$E^FXMl$f{Ka?>~>*5t<#E4CJW25<HVUeeL%0@4W;FMGs}Lr
z;;2uL-MkS0-%>ka=i!tNlRInCS8Y6e-j8RiH(R1?$BrL<hebqG87Kw<ft<i(|IL-0
z&5=oK!ay(>Y-Wa%HhSRHJv@w1V>;eHtEwAiK3(vRqj1{^+S^sGKYbfj)07@MI<^l1
z=wn%cjKrbFg0`FL(`pTc5yX=F_NVFZH%lY~CY1FQ_JV`nI_c#LXi*@E`9y^8B^6i;
zTVKALNX4o(`fP$WMWGl|ujiYHli<WnsONrT6y!2;1X_54ty&Ef$y$)k6Hbx{4c<ml
zLA)_d7EeDTiFSqKo4p?bf7qztZEt6=rUo3zP)brodh?p0qK345CIRrlKd5UO1p7Ip
z5^FsLzfpjZWyOz8!-6PAxS?ZBw2pA6S<x$HM1-rRXl-MUo<zS}PWL@IKIv=+>6BTJ
z@yt!eI6aCC3cj7#fXoUWNpQZHel8Z_BZ3D}^G;#4{T#NmX!LcpsM&|T?ZFv?nw)hP
z-21#Q{`JUW@ERnG(X7Q&a7OTrAd^=u$+mn4;qrt61gGi->#a8Txon}GTK}<AS!#!~
zqiNs0@76tj1tuEedDMQO?gM}2k1%a5aMay!t32r3^KpoMuTBv*KboMtPC|M|Pqp<6
z@U7?&r@{)OxwS0Q`_)!A+<RrKUaa4%V1XKG?8KEa|1;T=mSaPvqgqcx-ZD4r(UCFn
z_30{}s;)Q7Kb|WvB*Yb*_z!)MP>Uh_c=<~;v>pUN(==h~2t2E(wHyK#bE=&hIuM?g
z2>3~|ZqV5J;?e>Wjo|Zxi|H!9^2Bm-b?v~%lOQt=`G_$S1nwy4``btXr*n2FG85;v
zcqYHqL;l56+~d`ZkXCKdnIxCa1E>#%QS7{v$fmk@0iE=f6|PRuW@Tmr!FS<5+^R6^
z@(Ik$Yr7RIg^c3po<&`A1|DAI7W<7Dzmk*he_L*LKBD(|zRw29br`=_@g~c>RzPWG
zJ8n-f;=5A*`(1m<hJ7shaStNv8W?~_K8yFYDd|{1aP&cJH8j){m-8Q!Lbg;U7=c0R
z^g932J;np`NA^CNC!2$nw-J@)$#P?JC#-XA@*MG#plKppxhI0%hmWC$JoQJJ84yEv
zGaJ+CtN_rx<@Jl35gI8SG7;twyjAzv>ZO(Nu45WOCk#USxY$yO$hK?VR*9Ir8-anx
zE0&WScGm<C{*Ep0I+1`}H!~zB-8Q5!mX2_3ZLM)DoC*kqW#Hp`YjJrC5qe)1+n+Co
zJ6y1Qrm^w0{XgSvkMC-=OPJ&Fh+ulSm_-{bo05{LDbv}8ea0*7iErbTUveeHxLHhb
zTVpqbe5aJC!ab?#;c}Z+Oj9Nd4I?9aJR4%^IQFhlaWA*aK}~V}zcdIk-Y2jprV!?G
zg7{R^Q(91a3*UiMUy|V_2g{Q1Xi>r68OoLoars2j`&5i&MN9D)=-%N=%c%y+dP3;j
z-YnW2|M6S}$TdP5uwFV|Q364hq-0r@M2T*z&#ze$9sGV~O<R{g_cI!91f%)SldXn_
zrhs40r>Rs;O}8>wqJx^|N5LoyUABHn3-A$ds{nY>5NEofTDl^iQzUh<@7ROwmkv`w
zEbfgA8fSZ}g2>+C$wbo>2uDEy#pOc8PbdUe)jsBrlD;pRZCZH38uWhD8o4!+N`2*H
z4qD<Ft!R(wFpAHr`#IdLK;|L0prClXO2g1S^Bx1?WyKak;_X|MFOmC2rroEsuugl(
zjZMqW45wT_1Xh)eE3Sr|$3LRSs~FL-hC$7)^S4i+V4c|scFMF-R{1(!-YANXc{ilT
z2+Vo<1$=1*<Dz<%*wPWP3&K(nm~XC%5YnCq=MyJU_g7+D2ZYvNtxwU1)H>3TILPv{
zwx54|RW9#y&aHB<`|`L6K97zF#_?mQhvNmNMhVD$o=H+}lRB?zoI_K1@mwObxbh}L
z`y#L)fr{2k$#=WRKO!Lu$)$zB-QC^H$||rfVq*eq=$qES^^XT{JwL;QX#+oCwCJ8u
z-xq*>^Y9_Fz*ziZzn$TKI}6~-mg-;il%rXnGqj@a&%}$aBbwVP9UmPEI1e%C6eod>
zWZsH>PKiI}h0qaie6hlB+TuuY9M&t@586=Mc0Jx1$w7wmYZxdlahJ=37`zhuVrmPw
zbamBkEQPopZ1eJknu@B&`))Nvj`soT<m5!VqH_8`uV%4X>+CL6CcS1u8su7?_p|Pe
zHuKwBZgRBYcJ7b?H-$_fUH-0KpUWHAUD8uPE^HEaPb}u_0KVA#ZoHj{vObwoIn~^t
z0~*k3Jj3nVEgd3su%EI4I;*TaA|WIDB)P_wZO@<2g~CtD6<$+hVq(==W@(<=(MwE6
z*0)HiZ7R+Bvu{oYsD(>iq%w@$zxamIVfT52AgWxDyRuCWYiUstrfcwDRbC?}+$N7M
z0)9%q{k`t~a3JK_KgfS+UgqD8F%|~|xJW}WhL+#9_p?%8qo>*(<G&#yM{l@iW&XJ+
zwhN<j!My0&tUCYPQLliO`*dS+Y!rF;yt<}5Ebrl(h2v263dXp{V4Hq&n2(=fxnNIy
z8J5>w_M-&s_H$~EHqJNMXLc@^J4Tf?={FfY$es*8Y%mY`AS;vo-caM@wz$tDnoIvp
zZ`(FvE=3YVGd`~W`=-G{6atv~?Iy#jM9*8*IRT-E!}?ixYj=AO63D1<^eEx0p`)q5
zEw8l=jb)c{_8t{P4)+!n5zi=Uw)s13xZdBSpG7~r9IJ@oNB_1TZ(&{nCZWRt&L7pX
z2I`1(D{D>Vl5is}#(kAgh&+)0{^3EzTZ|0a^9jCH!8^TQZXlElKv=yMQ2X)2Pd-mH
zx1eA*(lONKY6W=bE7>7yi8vsJC%xS6AG&`%Zg-$&A=TsNZnp`(G^<?=<kl@lCy~m}
zJqEtA+nzh^n>FNZqRU&DMj@OSSR>jvEyHa7tE0n13t?g5jX|>P-gn9s1rzh5oSY1N
znLy7O+)Wdg{GA%oaVBdDRhs@#`OmR=m`ygVPjY<g6|U!y`j&M$&ciwY|3YXj?cA%q
z+HDe?3*N7|O~j6cY}ytnF-Mqso)$c@*7V6KJ&~?gmD*IRbG)=L3WQpi&D7t^ys)a3
zI*9MA95U}cfKDpC?-9VqzV)cQ^(fuX$W!&Il}~W`oj6?Rq{OIi4K$#${IxdbYf5(*
zo~NSKRb?CFYb8wN536~QR3^XcF+T84?!;BkQWHlL=0?Ue)2F?7=9=LHU;6)~Sv1(T
ztC_EJNgH7Cl^c{LaXKe*1!*e7_$rCs#}YPkEAErPi1W3zS!7HRvI<T);oNYWI$Kmg
zN(r-HZpeU0xlV{z!q^;+d6o0+q!?k1O|NtQe3cz{mJ^0ueNsmJDB4xB<eRKRePNrO
z@B@TeUbwK=6{`yXgo|Uf=0Ci7nU;;DX-Bu%lZ(g99b<p^vvN^5<z+e5C6^Ygi72Lo
zdRZsVh>uX1;%6$0G<ZA>-OAEcGYpgvPp)mC)w*$Qe5w_Y`QXuSKeDXxthb~bx{C-}
z<$3l-wO`e`M?Co16(*Q`X0{tJG!WsPML<PyD@d1Lbda^;nBX!@n5!Qzs(3tQr(`v2
z+kq%1h3B;$w{e^u_4xT<M>8NWuJyWnInnyFwlMtjq5`T^5FYu`0ns1O28WD;Tt+5s
zt+R{`$=YMXNWjkqBmtd((1IlzP-py$TQ;Z{A*w}hTRD6*MHGISAaB|HCa|sohb(DN
z=!M1Z{Mt_IQt!)alSY4+J{VYlM_iAxdHPbTMty#BGfU|I-blw#dF}*3Je+X1x3W$N
zvw7Dq+C@IM-cZu`pSU@TjtHKCl(`BKO<5#v@2JpB@5S+?s=V?we>yCipXEJ21(FML
z2llc5Cc3n(rgl?tqoii@1|lfl<uon%KU>$Sy*;B+b9&N!pv8j|^75MJnw;=HLM;G+
z%+{aZ%_5Lp)AM-!Sq!0%(<1aphe1hoE%NmhIY)>cWE!`}0zKiF6YicQoBoy?1ZcPM
zM34aIa+#XTktnlj?N>udZc=J)mOn3r{<4KaKWgcq$E12k>8?dB^Dyg(d~#lbv%WT$
zi@9wEVQuAx5O$}rSkjwMfhySU1M(c?s5w0tEc-ILJQHs>RdVY%l~`uEos=#_`qKa)
z=I&7m+@>?itnG{YEkWDZw93G7V7!TG2huNwjH1-nCYIBV)3#u32p)84XOq#3x?3-A
z@j7|`MtPDRqxAt0M=TJe?}>q*_(UY{cWRMSQp4=WXLjny!X?i4V$F(Kae9a=53Nv>
zo%y2=M>a8~Yy3!jH2M>&@wRU}w-lJi8EG3hQzP@{_5EYhSC2I)={YZ(i*v?#gwS^@
zu&9@BeTeZWryaEYpJLVX7}h;U7wS}kdq+wO18B8hf9^9u-ncIWNh*KzrBi4)RI9V&
z%Y9s1rk4cY9MX9gulG6W^OnFCjD1QK3wXTvsl0|3Xwu>G&a^AT)OvI?B@9dwf#|=R
zB}6)=(3$r?9`a*{AO^b2(MFe52uiJQo_`|A)KKU;de$#=i$ok<*_-%Q64THp5qV4#
z_WOFJt{%sdm)bu>Cxk&xrhBx86>=ex$9lw|ra^l*K{;`)vMQkDhwDj)mLkZ2$@x-q
z_h%~<d$~%Aj@r+pyeL@Q6#v_Z&l`CGjAYI-4%uUbqwZ)RK4nZIbZdpBI?{gm_5>QI
zmr@qcqvnayui)!w5jO{3i%Tko);-dDC_Mg`;$T~$h8tKcTCLF6m#6LKqY5E?ef@d7
ze@0bTNI75ks>QSs?K1aW_S!s5xpf670Q=%xxcAeOyO~hoYIHN!y3p`XwEMegp>dc!
zfx<UqZzRJ|ZmVS(0`0P5i2Z)T+{#Kil}eo`%gVOT-cPrE?t7UbUxk9deA&1@2-_Xc
zenYsa^8D(qHYjm3daHCvN|gR3OFBGuEs;wW893CoO{Y_;a=6Qd_plhyW?99(EEc?y
zONhCnDdBWH<n-Qz+(GnhDe3lz4)f+@)8L+q>We(!B#X5DbILB{e4MvL;(h<i=%;%H
zUt6p9$>6<iLdxRaun+|{{YR;ea#?t<v47H@n3g&p<p{?12ojcn(9{NFpUatNhHbOa
z!zA3~bPI#qgm?23HBNT5?Cn7oAywk-6ARkYenlTFa20GXjmx>SIk7mn?4r%WG)zsG
zXfy>GqR6><GI&vHo_wS=g;BO3t<25$hF-mXMYqdNLl@`0<Sh;kLNbxg;)=GFlSN*_
z<<Y18^{}~PDxxRIq;cggO~<(@Nxix$L^&H%37Mqj{&2F0o|55)K}3{mdTRYQg_SU&
z=^*u8nm=iABia}2MSn4=B+_X+r7z2rmDXm4QfCr`VBQR{2tyow3f*>Fo896u`5xP~
zzb8f4R-ot;5G*!v_30WTX6(SpVAWD{GRqMvELC*nNrn0OLqiTI9vm+f@otrYd}(^=
zp`x%!=T?B?KWtocSC@wMJ<>-_l!+?r+|LVuOuQ8_Pyb<G`*Gr+s?v<zX-5Z0`6$*?
zykCzj2#`}!3OYNpjF>R3`8-*-zT7SsYU>tGzvvUa+nk@1^vsKb^DEF|(epMp^GnV*
zow{2|U`BPV-$&v#2iF1Uq^vHAy!C|$@XI3Na}XV<R+%%nh;NykwCE{&VvJ?j8;Nt@
z<8H?_*4_ENmnh^1Gj`ni&PUQOxnKwq5rlQLq9S*6R`?oN4pYCsh8Ex-a(rXY+n(`l
zLoP6Pff{(qHfmsD)<0PFoLn>s0K3|{K|?hv<>AVPytjOAyA7Z}hA5_<)xG8R_Eyx*
zjs3cVzVBSI%Zk<TeVbgUF-5*TU5()Jyv+d#uQ3vN?0==!sNJ7G$$>`f_+n*EL#}=C
znUWP-PdXxal?r3**2PIhxkqOmcHarM$&S>Z`jzY?wPz>QBkMsmbLq{?Z!B2$KFA|)
z%Z>@2XrY+e(%#tgz>HSl@2~heSex9ikk=7|WXE|G{ehOP!9yYc^RD#+k$Mib(KSXM
zLSDFQl+4rd8$web*{CC=t;9VklsOWVTndOHa~^0<A#~1gN}v=G)g0oS=k1wkZJmf<
z^|tu(odC|QtHb2+xbCE?Z1uO_?(f?6lukGe&g616cvrCbmS2x}Wre!{cp;mtR!Q@Y
zOu7r(Nr=B7VsG*9-t3ZSS)Kvi;bc68R40IHnRYZK&ebdhn%Mn1`pC)S-&}Lar|d;R
zbszhpN`r{oy$d3BE-b+AKzzy$VZBkq{4R~O`&V1jH7qS&wYGVTT*A)0PoMQGqkYrV
zt?MkwvEg6j2@$SJ<)!)Sr0oKn5{z^Wwe9F5O1n##qa#s{<m%DL%nYXV7u{<0BAJ@Z
zr-$kcij9$B5j%&;n|1Q~mlF^aS%_rZ?i=$v3(Puj;2Y?zZ12Yt5LiuZRgm(xAM|e0
zn<Qa;x6!y+T&Gh>jH<Q`&FDRv$GLwekB6Jood2a_D}iM(QyTPgeGIHbRyC|e>ltz>
zKs!FY1RE_F5~Iv8U=ln$&?nDyt!W@-%EFBQ;t!NQh^fK}(3g(r604|nlvO=86#EHV
z@EnXRD3*u(%p}}sV3V)b%M{)nF9z-NbJ_Z)2y$X>BCKtgooI&sy0)9ln;Y2J?zRH>
zPbM?{3SpL>qB^I8xcTl<kdZb6DmuVW&Y!dLcFYJ_nZ%wYLZk2eY(2>dnTC1hnzv#7
zykW7E5yw+pYL|DO*3@G|60LbFLBEc=6L|i#QGCd5#fjS8GGMl`^sC83%kqJSG8QGV
z(8Ap^HO?)Yh2*C?HW?*3hJQ!yjm}3Z@4BPc{bmR@^Zs7g_s4uxG&KL8kT8^Qr;Xc4
zO3KR4ZSNM=4kkC~dlI*PjL!KR?WK4+b%ByYv^Rv|$q${==mIrkS`x1-k5=4O>9cs;
zZTH=-nnVwT_c6|79iXMO(S7Q2fzH66=izZ@VcPmr?zt&WI^?gl&kjH*kD|JGGbn(L
z?5vW9BO>a-?(4=u*o5Oi_65fcE>>9R*x=Cmh5AUI<qvPHIXjbo?WSh&6CYp4`lyiI
zND70QnHl?_%Q(;7v(Zz7taUe&P`k?OnyIYHQgR_YCUf6esKIc<)bxYprWVk-DuH2>
zfesckrz`#(Q{5ann8bJfdC^xeM*@t=d~V`f{bS9A%!p9Y3e)8C#~Z77w&y!mg%To$
zIO0f1V`A)w=|8jKCl47Hk}bCWusEWKe_v+_SCgP0z^NGh^Oq3z*U)jTBJ3EugG8(2
z!}oLELg9ZcpRLe`g;!bC`(33zcQDY5j`qL(UKFKxk)b$BybT`yE^&1UpP0Nb$b0uG
zmUnhWq0=Dh3&PZZ?%2aG-&%tf`Xqxi=cwwpINWgiQ`$n<?MsL_B`<Z<Hm9>MCGZhx
z##{qR!M(K@(C_w_<;9q$<SC{%X4U?Yxvm}F8^UuZ5h>=sO8RF)mbq6>#9m$0Zui(5
zs)A=j^!-o(>_t9jZBg(QIlbDkBHB0fiS!u4V0(?vaWEXfjJ|XNY?uG_%Igk`mpJcz
zae`4AL)g_riJgfIr*CNjD147usM1sFhg&W7z%}Q{vm)9DgG&r}OyKcjxSE9{0g>66
zjp<xIs*sVak4k3w!lk8qM<$Of<D0Mtg3#r27zu3JB!c&o^M|7T`Yj`%a|S}X$j6vF
zH6)XUm|iht)5<J|-%P6re;t=*+seFdlkku2p>@M5srUNGu>fxKMF2ew4PsMMQ`PcG
zN5u2*ju6Lp9P`wzqKK>+H8G-}ocZxSLxXewX(K$QP+wE#Qf{JVn#9-uO`$>Ow&p#u
zVe{fdUC)-0>bEzLQ&WR(+y1aS?vt@j+<X#X_xk*x)@b*Y_wCtnB%Q7D2=P75Ghw}v
zoD$6I>+`w1t&ipUdUn5A7q6?UOQRt5-4x`FvgWdEt=8_vQPJ`0AuJ|l*c*zfZF>#V
zZ;fLq_vq>AT|G5Mg&NzR<peK>q{O6hLf0mub`?yS9x0>j-c}?*F0V~?#qi1@VkXG)
zv9$k7@-Mv$UL7{)XVqtq2U&DaKEpMa<8N(Oy`Ll;p0l?u!fBYI*A>sg-{66BWu^n^
z269*cEkOD`WpQ`O6`sv!-U*f0+qTmXSB?8_6{}q*NA3C(Kb>mTG(<XM<41QlU4n*U
zY=q#vxSmZM4#Ua>;UtQz&dZW^q5Bf0b$6S1X-z>AF-Tq+k+ZN9#u%3Q>3sJ>mx{QK
z`->JimmE(G^lDn0j(LZjc%Y05dK;q<cF=ckp&hR2k~WYHViY4Xr%>Z~K1@wweR2%<
z2EM=uz9CUpy=e$6pOy89htb$?x4d$4Y(Ot;M^0X=QNldr0d^;KzI%i=F(h@T;H&U%
zZ@XxJk%=)Dg|+L5QCMp2t9!cbk0qiQA5_3jw#Pc0rc-2dJ*`R<%%jMxY>suP&4TeF
z{#ErmeY?9-6>O8vsH%3l+SH}Kj^IFtbL5q?8@D0+*>F-*TW;75(kwd{^LxZa7W1sU
zZ5bOTl~IKJ)|hDc;)LKckRgUEEAoDxytfO6*bD|x|7QPWo|xhF{v<Z1lUXvv%{v{i
zK{wN*3qwFau)n{7tnYYLjM@G_8e3}KJ8ghPqX9Asbmh!kcxNndyf<Fj_+Yc$w&1v*
z&wDyt*#3)#xk6^vq{sEY`^DY_^5y5sHSd_NclQJw92mnRB05z0UmDy4;o#sJjZVHd
zGNy*r&pO`|QlUtm__I^)c_|fl+}6Vzd+3lKEzsPDGq{=}ufhQAQ^Jyze5ysW_gO6A
z<+Uly+u34pZ8fdI@O^QjQ;MdAp~N;FVa}&Z<)HDE8LQBrGup_$1)&kFp&2hxd7zNp
z0)ih)mXzPR>WWh-HsVOsudEF~MJUM_jLxc32(wu_(7DeUVuSqB*<TNrf3ue0k_E@_
zt}Ih;H#Yq`=szVm$9y`YF?8<jcBEDK?s)4r5rd=*zwr_Us-lZdJi5yEBGtT|yjs?r
z6=>pJqllcx$CpZ*r767wY#(}}lyV*$x3(o4=w+v3X_>RSI=9s>i!GcRk5Ec%lq<0*
z*`s&`<Cm0KP|7_666<TSuV)PmHoWxM6I%%h8A)HEF>ekx+G(ZGzFV~ifun|56%M#8
zQi_6ymx|PA*ClaT92zIO5YUQ;R#wwK0cv$=;m(%i<GN>b+sstkIR>R>dmKSH-$Y$~
zc`C2U*eUr}&0l8b1u`$IDufgc2zW-0?1tU?vzjgKNj<K7*jL6JH56$b*EQ*~iL9&%
z7C6p0m|0l9(w`Sn!9RNnzHeFcmAY@1uDP1sdi0%o_x3~os9CcK{&!L<H~1{%5$P>H
z&Sbv6hI+J4LXcvwmLXy=7`~sMXGQ9RuT=T9lTJ##nt97d27T0W@+IXEHmviLChX4a
zxp6;+Ucda&xVtLz6W-RBL5PIiH2sq0NZA_1eiU2bn~2WN;VIN~g4}P8S*at(I7C)N
z1-0JYedye5Ok&`uTds=QGpdx3+Y*yc9M8~5Wwyc+Hh8a-W&z0^Y=WL5Id329#0iuA
z6!<)H6-jW!9&9Fy7hPyix>8y%qxAqkF=Tg3zGwHZyv?PkqhyCUmKMQ%$NYMsWYKpK
zy;Z}CvGiX)r6YW6AGXmi8hP5emL-&aP>9wRjP0#e>*t_dV}!1M6m?5J<KG_pP`fkV
zIk$pD=W82y9p0G>Hr!xiN1r#g<|xi4pviPIUm^QJ@>r?b)8LAHe=tbcC}oOS&p1|9
zpV~ypl=sb2$`qrGh%cEe1ydq-szT5M^U<tH_CVeU+JS1{I4u*6?BGBG9Q8d7;>08U
znu0yV%5P6yYi+k=%Vu$y7Y0ecwRjobO0n<ZyD@`$eTdY^-&`~nne?us)@HTV!bE2y
z+DqJ^#eI%ead1A&`Lkea@Al~Rrv2%nL+q4~{jMe8$HQ{HAHM8vd%*Me8D7)ekt`SH
z55AVJcawqVj-m2FrPOz*Zkmb@e)^CUoTW4gV9C*h*Tw7gED3SQTpn1K=P!X|k6)bi
zP)3j-uY=<azu|Q(g)MDC_ZH&CGSfqO1i&1^FWVW&;K-KI^z?edK=d%S8;+Ys3&nT`
z(S%Uu+|7Mu;R3pTZko~93d}|`DxHuEtxI`)-F&3rdt?Wy-U7I12yF%VW9YAOtpXba
zLN5K0{#I1*pQgb}zk8r3OvUH94nH_oc7#Mf6YsZjqyEB)=!CVcRc6lf5TmHt=7Ac;
zhvRl;Y}?7b<KJBz4861I+*~~=BA@fQe<!GT|Ai-fP!wRG^<U#t$<JUpjMZmYnC#DL
zU(Rptgo9Yrz_yyR{&Z(c{)pp$bM{KnbC8*{s!#5I$_4V7@J>LI?1^^H>&DpPdO!k{
z^$B`ctEG15ZCdxAM)-Sw_0rzXu#m2B!A7ALPvEuLJAM#SUVH8)B3f-iU+4Blv42a0
z8|UwsKF+sv3x@i-vpX1?F$I$)3Tf~njH%UBhpl<~fGacHuyvo&B~H|L2G(i!kal-t
zH~F}?alof)hWsAtX(wy$3phV0%<iXYSoxr<yI!HnD|EcphW8#ENa6MNn5TL}qW=bh
z75RcW%@x-KvtEiqSur+3bb##}to_`^Z<g%1?SQeI$1&2zPNppkk(k7<)X*aQZK7*)
z=IcttU<)Q#68Bu-1Um;J1zUu(<_%<rkB=Yyo1o5YoJL@y>Qm(9-X*e^dil%6YxW1g
zr5>!a*+GeeZZ@OIa2!hkdv4t=K<4+k-&UXWS3?CIWinCc<oBJTtGN3=2Z|JG;&5?J
zu3QcjRyagm?Pcs=XRHkxsc3Y(sH^>rrERqwgQ~OS;tAU&5b3f0cKxvb^i_ffRsU~F
zk>%T}kJ^-Xv3c`%GV-~D^+MSDj>#1CR7n1PF1gGIg$zh$Yq|d1{EvTLN}xyv;4rbb
z`_$^OC`pOuTcP=xp!<`*78D}3Slpv+d^QDz#A!GMD(pDaYV@*Z{lq9xv)(#6TT820
zKpAG|*DR#w%NTCLN*T_^R6XEz3M^rEFR{2;TVu>#Qets9iOML<&1FmqdygcibG;A(
zWnhVpIDZbLAY+U##@DE6U{{m|TjlQ}4Ljkk+Ph-%DmgJ3>kpF{$s+si9ZG6DJ9M4#
z%aMeF;ZI4c$pAom*mt6;8V6xNy~#r&-oTsM6L_;{B!1H6V-M1?X25{8Hjho|sv?wL
zWT%OA^t=!J0Cesp3f?ta@><;6I7K)hy_@sdJg)bDzCCrk1q>QJ%0Df&x-*%KrUmKu
z1nbXNXlvV^Bm4$~QQrdtLwq4ZK7U6{t|V^f=H_T`ua|=gb!;S8agypEa?g*x@&(`O
z5|2#@jfw2tTxBT=d(Z=&O4II-nD02@ylsMpF!0?XPL!6O{x4DRm6Q~EFVmIqpAj@I
zEseIJ?mdoBXNg7VwgCYuC@@%Qv{wTgd<_1C<KN`C_xhaqMu<(X2M`kzC-~;)6I=T}
z9u&$|uR9FWbU4WQ5@Og?icF4i-a~nGrJ%0gK=XY_qC^KeYa*aN@qONX-ZrBf2?(jA
zd-m*eY3qvNS4<7WgbMO>1{b{R|Lw@lA6Xvv^J2E%4I#b%1em)uPvmT`OE}&ar6O=(
zAk_8QIuR-=>U;bls7sIE(2xWd7x%}z{`2y5msg{>_A67COhHlcqM_pj5lh=?@&M_f
zrRSoa9N&zXX9rb`vZP9O#@rU!M;qLxIG*N+?k_C!Abv{ScN-%>M0FxVBY4#NkfL|@
z*;cvIv2%Yi?Cmd8^qFnjd)yU}L%8+Q2;ZB7L@GthOpK!6Qx-fsi#moW+#E#Bh5&fY
zjmlJ{6C}*nTXZjn`=KWDEESb4?B-dWiWIuMHBu3Qs(Ouy+Fi^=9}Qwbrf+M9p{dA}
zw#d1Ee;Y~^x7DU!xK~E1e**4ZIjC^%JzezPO#AlTH>lLO@QbKVh1UcSTA$k(wqoJ1
zQz&N+P~HTM(_tu0s7}_vzgw-U&X@Ofnbd?PdB!YpnK08^hy%-K{kMnT5P*Fq2DHzG
z+@Id;1D))Z^bj~twi4?#+9qcX5acisxmZOhS;{EC%FJu!qOG~Ln5ik}hk=EJXIpXu
zC|dD9zgoF9PwjFnA0Rfw=;7y-OY*w1M=JRrDk*9Ik~jNf0r|9PwG+@TPsVJX^V8`#
zGE3>L*?i2K#S84PwD4AbhV&luZ_Ma(!{Zch<Gd*>ksSa3*!ruexVo-u8?A%{4}{=u
z!6CS7Ah<gOcXy|74IbRx-QC^YJ-EC3zqp_8J=tv^K%=T?je|9rbB;cGzeZSegX$ft
z5eNgBU(qm9ux-3eo$hz#mmvM37IesVIFNJ8-*ogciKV=n^fjPCF|JqSk;8avYgr*v
z#2Twnv@mm#<*IDHvj~$Ta93YgVA2|@cz_qAH$yq&6lQrr@X4#8f$iP#{2pF7zZ|CB
z0(@!0s;Zb`Vq!9Ka+jr@H>c_#*H%16qp=>~qX@u1^pe5%to2b)Q1IRFARBXR_NyBU
z(jNR7YvPR-`71j$65pwl)jhGz@!MQRZfC%Zxu;*K*qN*EnRiu+>+#!6&hrVbamPP!
zACar`N6@sB#cg)v+X`h3i%R4a@7I@nKc`l2U~!LOtnU8Y7cw`eMx*)dCm4dZF_9^-
z&|pLCc)Z{ZAQWci=DKt%38<;zfd#(5+RWM)jvE5>H60RtukXTJ=D|9bsiA{#Ggks_
z@tSLB%PH3dD;M%0YjTmzwwXm<G!KcN0|Hk$OKv*C-`%)-A)v2~g{99Zxz?ZD4O(#x
z`$#QI#03^CO!j9vVZz4{?C0h)Xgt{+-)^XSMvg<`@xPv#8NncXM@VFmp(4{H>djzU
zuPE+)(9W=mOo{fr(2HOl;d=;NmaRTzbMtMXJG#hZJML!VaH`S+C7=^otv-E>LRB;Q
zq&It88`7%vHJZfeQ7L0wURLCV7k9)0AqGXoW;%Og!F8SWJe}?nlAR#@G((iCTwczF
z_j<Q7*R+*sg2cnvsQ!-@^|jg67ggoU3@0u}TAtv?FOBEd^j&&Ar7E%lv@V*6hSREQ
zu?Wq>0z8_yK~tNbFx=QYhT(d;MG>+GvT_qY))rVVS{ah-L9(WNm7e%F{9<3Q#(47M
ztis5%?VPD*daE{f;NIzYcfqxgXE~{F;3E3bHpQ$x%V`gT!d!YsXlblHf!;~_#JYFB
zu!b#?p7gd?x}^-cC}%a1a$_WgogKK0vQ$`G$%kHhO0&08^K!Qj8#YH3B_l8*e5H&y
zU%FBL0J6j!%UL~K@<W7I`2f0CyKo6U@kJ^pKXEASf?kOnJ83UDDX(eO!1O`0(us0Q
zjYT)OB}e+b_^go_tU#Xv7}{1(e-;QSDWO$WRas9<vc4>7Or8_}+pzGGmiQP&o9OSG
zIxN%pOduvCNMy4qt>#<mII0uVR`~&sN3-FYxBF|-Kd2dp)>TCB$#IC*N35?dN4*7g
zOA}3&=%Is&=fkJ-H+}06jl&@oHxDo8m$SsD&+iRANIvnJvY*}3L6(GZljr?EXY^f`
zX_ggMdXv@>o99@v|0SYM9B@az{^R<7&CA?&vFGzvU=H$nnAn&uzvr&>)PPXpZGpgZ
zMI5>BC%^9_dCPg42dw28YG6OCF`PJU+&C+|f@j=`?wlIoUYH%{{!BQOWKK*5&^=hR
z*~Fzn_vt8oU4H45!|h`2i}7rT$d0ud&Z{g742$B&?MssD^GD4ei2kDJ<#Og5k7(O@
zN!FkE6ceH9aKyVqsY!oWRz}H5(2JBTtC4i0s_BCKY0B|pf14pkM`Y_tGq<(eK&MC%
zTvmxsZp<U{;1z!WeFlqIeM#*KwDOn4i#bE1bF@)mIw&2d`VJ|MtM;IKp%QPAt_%0Y
z!e6-rp%&zNpVFZ*&D-^pF@n9PozKL|q1SUXWP?XOT4dURW5>}g)BGcr?NG(j`0_vd
zkHmOspSr#98o)!sAg@_Ur2b}h3Guy}!-+Lg1si8;Djy;VG7|prvA<VTfN{utBU6HY
zeu6UQUmW+fsk_FQ(KS=koZ#$AzE#`AiGPv3uA|mv3`cUYj|AHRdoiyG7dSTE3=AtA
zN}L>1mrk|lxTihU$eD!k<nq%q^FymW%2q+-7Fo<;B_(OCQhj&T_A@OO5O-H}2)54m
zgx|VHc!}1la?Ep6YIrga?oMO>H7RGiS!jAE1JO%o6+4)6JNnPX)%V4dTltf5oRY_o
zNT^=dJv|bUE9GIQ^Mtmd?PKSU%DI~A?KOt_1)En2?x~CbfIV<8Xk#A#T;(bl;83}n
zn0adqp|n={;Z};Xi<aY!ET44z6AjeP2js;4>E0xxfV?f{1@L;jwaN*G+c;Z~^#0_3
zakKl*|L*v5Dp*B2L&M&yu9w(N(+54_JGJ+Rv$p&8UhDhbWHeS~#=V@~THU}G=a!yB
z-2BF{+I&{^Xz--d7om;{#^IZXUI?(Y!6S>?WBF8>GNerEdT>gtqP5#FJF_`k=wa^i
z2V6SWwL#Odyh|4Kzjf&7IVZh|StS_|;MW%Tx;iQSH4X#{Mo%{>C7^~*!NX#H<m@aF
zuP31QyB05@yqOa>$eLin&$5;7ulSAwi}n;_W{0x;lCD`&^TJ@DH7eL?JkI&y-`5td
zW9aKDg1*4(vF&6#8(kv^%?4XUF_wo8P6`C7tS=Sy4jHXE2&uD@=jR~HXR}X28g+0T
zKX5GK7kCh*mDjnsDonI!;c>_`m0ame@;KnANOA(^b*@&=x~CRClxq`*@6~kQO$-lR
z3a_EMQdOPhi?pchcPlkd1SrLG-2Nf?P>r0RG-_`2oRs`+^t_M{@H)J<RY3Q75${JD
z^uYbh+&8Yw%B+B)LA980*{9nK|H+2J_$koT+hpV0y5do=`_&A@8VBbXVx&r4d=VLW
zzl&Jx(COpk(fM;}@}!Arps*Ld*lkVL!M%{d16n*&)u@bjMxmTZj*(Rn&EBuG{$;H=
zJu<HVG+q@f2&8Y4hgTB_7t~PU+7c_TuzgC7N^r~^mJD0db+M$w3-yJz1x322AK`LW
zW5k-|(}zYx;=~rmObD0{uZ@;zf01)LQL=*ekGIF=0*fDim8(#yt}60?wB?rQK^+&Q
zMf@R`DlfV#e4<8<Jwq>?rEYJm&AY!GpcMBMPZ*qL3J0Ide#kG$Dk%%XlkE*xI8U8!
z@#jcKoNU+LEKApQaPXH6dO`sP`dy2*$QQc-o7OOe!`}+E9LW}0H80|nv%R$}x1J8!
zIZ!JP256v;HJuOE_)KoB0Bs{69c9wwmF;Lwq2vj&LUBHmz8#eV5x1r5qxIZp?*uy+
zx~Xb683Rt2=0m+pz8h?weYM-ilZv`vrgc+>?A>H5^dcse%~+^RY=?fy2^UuaLpctw
zTdP&6u$(kVbw}Y(wsmSUs>a@hnJ65o2p+OR`Xf?;>2Om>lT`3GxMWt!NmPh_7gzl4
z2IcGFw}zM)z;j-zJN~&`U!u3aSjYwaUI1(X5`ZV!eG?aQr4p?6%+2V^qR?jGWhu){
zAfi_zQq?J({}$@9BBP29;gC3<oF=9t&KJwB^$#`6HwC7M9n7-VDoXX&A3na&-7kIJ
zzKtothRdh36H_%J4+fzyLpY>vt|}(&oIIW9ecZps`_pXusU`cjwo@$E`U8FY!^=)m
zM2ur{w^!m3)P^xOH<kl~fiIO^=;#5A6MS#YKVM_ZnvDl!Qg~ig$UUQY0)=tmux48}
zkeeLM%!!?U8Ppi)-v)NB<(8d`8}yg3EHXOkUw-tY&CW_tb%~kN;0}+|MdwE9uZ-Eh
zTIh&lDm}4VMBE`=>b5FtyQL0=rQig~N0lx<K|-N__<K~%7O$Jdx+I)YP>aBa+H&pa
z3|`izgjI^`ze6uKo&V{oAmg9lpZ904y*43>44jKoJu4JpeGct9>4FZ2TT(`>yEt^#
z&Qm5|*)tWw<aZg?NfRI%mW5%|FBKj{{HrAk8GC_D4Sqd~B|eCofiE_FUP`(wzFi-%
z<O^4h&hLz@Y=z6?;=4&y&OU}X<+dT<qec$Zd(!OPnYR}PpKKD2s8_cr?H*sRxv?J|
z_ogptDB4QC*tclmrgFuV3C@iU<f)KZ(X=C%kHk!dj}jdrXXfvDu6$p!X+N-)nyZuA
z=KlO8-}{ze=G<4CL&dvW+9QnYx!C%tJCg44rD1&Z=4l9tivoL1wv$&9svQEVK6&FH
zw_BC<`&&u>2e0SUFMrb0VDu!k0YL(qje|q>>e6=q#<2$X$B`?<`;O=bG_mbDQde0N
zlOQu%vtUk8B?~@TZ@DAUy*4noVKm==i%IZ!U1*n`hNv`mwL-CfW`Z4`*4e0vR8fAq
z3eiYm;Y^y}dp_=;%-FbtO`T4ys7}rVoNvzinSs_9z35J@m-rZ?qodHUuw4$=WBnDz
zaul6uInOLi;$r3QUnJz2xdUn>0|j_`tP17lce67#qrZusF_HVM1q2pLtsTqs&BQuJ
zeFNLZ=d@j3l7!XLnbl5>Swuwc6y2ATs6Eh}l}CRUI;voos+=wO^yPHMyxLW6p|X`!
z)r1TR7L|qk&&&=C<5vG}pcN1jw%B6<|4uj^-Thi*I*pW<1s4`I5fN}n(7UVF<uv$!
z?g;_t;QURu;TV0gNjUtBYo2aty5ev|Bp8-oUB@MlK6WJ8;<Y;^^x)u`ZM!t+y@3dR
z^n3!5Q-{l$BUh=AjZ2og7T>1J4_@48kffPy8Ru2O!9=>u@cLw>q^AEZvlMsK;KkPZ
z-I`6Y1pE7km54>9`srY=v3Q&dN@Ax?0i}|={7vi&S--7|4$`>Ro>&qtvOtndn9ZbI
zwj7O{?EFONU7X9M+lS8*u@C%rnjEIZy4a|E9QW0(58>P-es*X6n-^lssk^5E-#u8I
zOYLK(Eb9iu7f>mdQJ05ZB>q`gq6d2_Fvug|S^Q&mnE$q_HSom#BWaJ9iGSBENVRWr
zX)cI1uPq=ikMtAdYs+zu73wOB8xb!re!PYwCUBEIzv#zzYJ3Hv$dk|FGilTRr4HMv
z-u;#rTm3e(ipqqvw20`M&V*If)fYfI(S7d`_{PF7Fs`1O|37#JXf*-LftZyQopr?;
zg2i$L8gNN|fPe(z?Rb3SY1|t-JD;0Z!vQ@7J%aldqouV~=fQV&%~n49s;v>WTaOAA
z9Duld%Hf3T7;9U~B5N}K2RZ5b#$v?K^K5}O)-jhE19ZOIR2h5{48#BArZ{G=1vf1M
z(WXpd+7}AS`}(xa#<-vVOJs-~UwX<Oi6^JTQ8}b)OhF9mGOu!^uRT+0D)t6u(?!WC
zMeGTs?tG`9%padY3-=riq}`cDg}S`LRK)HyJAAMI+3pS5*Uu3CmZ08gPnNWtgUp5(
z^soAxT;O4n%}dxf?8eeqMUEtkXQf6i;W{{YvQlnY)IByTHYkwwXwv84(XS&99;)RU
zAg}Dw&}_I1L#<`=Z;bhQN=LWV79p?c_lO|+Nm3BsG^Cu}?x(3mP14N2?g=MwG==Jx
zp|NJBwYH~?W+)%Mnp1MLVAcnbjnF7go<|2kAWy?~-wQ6y=&#DAm3p&W5d^%HS;@D5
zeB{!5o##ykOQ3CYMEi>B!sv@ENvu8KkiW;2?!4G`lVtgMJYXD*Bo02$ROJ8MElUcg
zA>Y1l)Z?_0Aa?j|vBQP0P5lwH(&ig0iig`}ZwaMN@f?RYtYkjMKX&p{?-$LIdF+ve
z*-^(KCauZLzR83|F9TZ0XV1s!^z$XN^3ILFXV5?h6?}Kv%f6R#Rk}Qq#C)W7@*key
zXSY)((Eh^re70$MuF{8v0pKg9rj%}OZvU*=Cg$b>+@Hv&_9wHUc1IF@f$IB3to7xl
z@<@e2tn~VmrG$aHtVLkUi6xhmw7xN=;P+8S7XkdZ*z$!LqPP|om*u&_Pe>bO4J1~I
zJI7mb3G$D*V+%S|TWUv@SnP%pSb|@LSsB_+dc`$AfmY50bq3oE`(_&HSKj=l%5FB6
z%Q#i<QrKKwB$2Lv&D92zfvwidQIa_l9Sow6k2+CY`>2w8_0%3X{1Iuo_uXfD2iVe4
zrM<-p(lk%?`bnk-?lE8^+s5=Hmd_=E1XgOJKPKK32U4Ew4)=oLL$`UL`X>}!&HSNx
z@}$<X7luYVkF}aZJ^dn=S%2?~y5OTDcBS-~E!AjpCEj8vc4Uf;;Kq>o$-RKSiR0m3
zpSpedmTy$eDD|TiUw(P#1X;S6#{a6++M;SI9G92~w|z3Sk+Ug&c$j;qL6iR4%}h}j
z+qYN^6UknccX2qOqeFlQC7CN-wB8Qu7vDBoD}e1`db(4}{L|EOT@wbQjkCG;5LK}{
z)z>grsd{}Z%@ma1*cKVQIm9xy${H?0S}?)X$75-ET38doG~~`h>)x)rjQ(>YbQzh;
zbzvv5?yXX#3f~7fXPyCJFk|}QyaNL9{eRsnKYvejc)mo{*B=gjv%?#rps=trhC=@J
zyw~M_{m?t%demVQbo6d*x__Ne_*^@L(4c5i$*weRaE0+CQB7^_#`D#9Kk%~6K>Gg{
zQTB4M!RF?sHbdgX($bQF_Di%hPten8Ga|8Yc+c)=vS%iqBVt1@!xrHD^4(OerXEYS
z5iB<K_qdvm)|3k&pL+RzGuO^qnYX0sD?)*1_U*C6h`?mz87&CYzW>*Ujs_LEVu5GB
zUA6fc@k&Wp9$T?D-U7p8?W{<JzntOatDXAYZFmy=I2$xG=GkF3KxaH{owL~=E0xm=
z#Wk6#lL3^2E!b1t-7}*BzKu+3HH(5KO4DGLuXO1T`D4IGy+r}WU?)90jnp&DW7z%C
zX)L!?$uqS!`L|>t>e+cL(Szutiw9-|yXP)P?#m-764mFP$XiPq(p<wo(XW!?gv`z6
zo^?~V6evZObL^p7%bLRrgMBQR;_0*$D+TylSn}1BCbj4$a;cJQxlgyGvmVZ@{WFr;
zLIrEGW{L;;+#Cj<5f!s6%TrOx?j^s9Rp&9NR0>)WL@II%8Lv#L<|IR0=X^BNm~lJZ
z%RyUyERbvYJk%8D7Or<|ow<C68g1FqFb?1+J1LO{N0Ms9D`}R;qA!D@z~UNLj3Tj9
z69?ZWXX-Aw%J)T0Z+-Vj9Ml9@3g@?(NO5V0^3VIiLIUibcC26>(%rqGojH~{D)pz9
zlT>z@_UrIA66p1`D^;Yh88-U5{NaEwVuk11>yP=_|3%+t0DDiDnpG<*u*1A3)7pTb
z>U3H0^Z~Huv}=D$H>dqCxOm>aUpGSzQg>Q)aK4#U1|p8uYc6{_8(scDi+-Qt=;h_i
zv%mFjEd-FOfyL)JoaWJPEuU>-wH^`}$T)VIEJR5l{26BUYTF2&b22|tGdYSnxPFna
zMCHPPQE$Wb33m2w1bdH?#V%z+uNz99raqfM)uj0#{i?cQ+yONwzeOXs868|nx;$U%
z9^)vPFT-{S3sOXz;$Zz%4h5pN(ly^qf-RyE7KUR6OF^?YdMZn7UT9o|w7y_Q*VPAA
z>b5@n2XjpHpy-nw{yK58kv_dDjopf^Yqs1<#cV;~{GCu|=^j+zI6A6Ou9+k$cH~?v
zqbVpk()egNmn;U37c`b|a)1M|8Rp5cEvYe3wSwI$bdRX><?f1L0DNw_l|GkoI(3m0
zBKlyX>r8aGW0PD0JA|S`HBJ$Sd%wY|6zY~C>m^xlxyl@K|Mad_*U8JUKAu9Ta;~<S
z5vNJ+L;?wG6e$-gv9O6}gO1-d?VlGlI_r?BALi(=Z+y7ZYrRl(c@;J67@!RKS(WRX
zD0I_iUk{(cu=$c!L2}1-0=bGq*WlN-sXew?n;(Bj!ybR;J_jh)*-j)Sxkz^V_>;1@
zM*hY{mCdMGUuF0PqBA7eBAmUb+7ULuYgEh!IEuIFccDUI07pTI85Z>Rde<(ir4=E~
z`+@?TF7!OF_j)}&J=!w`vLa$)KHVD~w<pV$7RxMvlT9L-<z)V}>c53@AC?J-UY0F4
zb861llfpKepY-}xK4LlDZEbA<YzBm$o)oO%TX4WK@$toc|HZK)KBXg~VrC=RRXzmU
z!xv>-aTXeWo}#y-ugHkJjDKt2(Au0(LH|+~-KJlk1s(`^^${5J6F45`+(c`fIquxY
zat@~Zra9GZREmto2REHo4cH-K9EA`?33ymi=GAfMZ#>feAX^Ts<Sgj6l7Hn`!gHE(
z1vtB@R^4$Qh%_r$8RpE^pkax47Ktkj4+^g_&P1Yemb6$5sp?{d_j@^(cUtA}f6)us
zlV7bX;e0zg$z?AmuWLu8gYiorhWMjku&|gR_Lv$;<Q{aJ%gW2}XDiw$@`ZL)WUeP+
zz@eI`ces>^aik!}%f|16aPFH04CPrtABmwXN$Q2%EW>SKyvrQgu-SBBur4fhocpZA
z7Q#m-IqliqOB7s4JVuI;!7aFmV6r{*@vD8@PIJMh`TX=LUWb(IS*_cn>FD{)(kLQS
z_iATbfj&8Hg(WO_fSA{_(9IVM+H(#GRb4}X4SNRLohBaYzey=-{PH!Ga&BlD*H(l~
z*_CWTsMmT0g8pE}MZaf5!$wRLQk#Us?^m(@>S>eWJ?guj!3+I{wc1aYP)rf$O#5?q
znb=o*<NePMSMLwr?P`?u-Kh%;2RFI67&I^-B9X#|RKH>i*VWzKyq5UCeIujGYV+rQ
z-ybAmI^CW>TFu!1oj4m#ewG4ZWg5+BfEy<;5IC`_9K`|bPRN{kK&ihw>eB#E&d6zK
zto{PJn@6$k(PUtyWn>$FFUft>8U;&rT}GjNL5a52lt3h8W)UP*h2c{7@VFj$_Zx^W
zF&6*gN)bSyA}+&#oGX3o&8zUY2oMwfHl;3&(hdFo3R&3w(cWkk>m!V#mfpS8Byz@x
z9JC=fHPkAK5Yd7c%~?Ua)oJbdoqP^9GfRLxD*G-=yB<GWV|ACqD45LIo5I1pn&+BV
z8*+i_`eTSMNh+26IY1-`v!rUet~B;zcD>^tkxl9BHd*uXRvrx#Y*H}^J-r|0tK0NA
z)fV{r5TNJ$sNd#C1kA@*Hb95+P*|+or6h#kQm#~4ROe4IHAxrZWy<J=x}`(q-!+=&
zL=%E!_;MxoxO_@D6*a`7_HJGM5*#XLsW6C!6<P`1+nJBwBOrnBaXe9#)tCD9F18j5
zJ3oZCroR_usb78^Dvk3X4*ug>Z;hXy`I6sXNU`fC=bXw(jl-L7Hu8L1G0qb$+AZ`n
zoWd0oU9#X4ap`1pTx)wqJ-)@~>SFV3(a7MrVqe{@`*ZT;&g{S2X&Of~nY56;{&yf?
z5D~%qiUFWhG_3v~<L_Anhz9Gld%R3cOn5o1xj?;FHNb+PH=Cnw0n)VvMMa0MQ2+1R
zfyh^%DfA&DC+E{}98EV+@dQXFvve9(Q*>VXLLv68G}_S{jp67U8alRC^Fpu87|%uV
zZe^`W=%DTNV&pM@VbJ7B%ZZtxWOHg>{rO0`w477()+)X~JPbv*TUsa2R{n(~Cn#+&
zZ|eGXRZiT(o?*J|q*!N&Qa(&3A}A=wZ^#Ujmz73i%s_*_u#@b`v#6%k{u^taQq)@0
z21Bm9QoAq6OV(SW^=3P=I_B2b{k#8f|JZ(YS;?ZpTKR%`lS&0-%YsNdZq_)HWfrEt
z9IILsu>E$fQQ^<~$&q5s>(-bd&yZ7YyN=;5rZF<fwPyftWbh<M6Z{07TB=mqWCs6{
z58qQ(t?hmkrFU0eAc@i5r$DOMNmlhF6BhCMn943M+v_^9{y<^YSRY|)nL3k*@!XP#
zc^*mZz`OGITrId*_tG`0>AEmJ9iJI@nJyU0&JlVPtJT}y>_&t#OCCJPj()PUa#_0D
z=953fPAjrfv|zjJ@+y8SK4KuoRX9Dxk%*k>T@;Mw(qfn$IFzzrA8LnOq$R5nlH%!1
zS?E#h`@)L)S$ti=esAD&sO0K-CV46+JG0K!7W>h%ezRsahT1+5#;~e@-ub;#l%dP2
z_Sb1K8jIN#%N{%8E9e_CvJJpF(H%`<e!r(KTeXMTjj=-sWg~Gqo%X!ktw)rUQ0L_5
zZ_#=_z_D1Zg<4+Yyf;n&^Yc%8s)+OE31DZbHJjg@mgen^*YXG&5_1`zKCp*IMC=F3
z<gmqRBfZ0!!t;xZ16`|j+6L|}KciPjT1D#l9413IOca?<UN(jugEj$bW+bAvezfhw
zx7T~vmqsp82D@GGeIG1Kqb<bhD}=O%Fbr>O`kP`KbgMxBqz6YDE?xb<|KMry4=N*u
zl<Cn?CG~;qw<pc@C>oc`b>CvScum88_10~+z}7=Ex{J%%&@$JJLk*;S8Ys{t%4#I=
z!Q|yoR5ec<MK2#R+)HS(YhO=lQmQOvP92iMVU<PEXORDTq5I|p0x3F@*1lHpJjI+4
z!-o=&m<7o!bqn-DINK~c_vYQ@$6K*Bwg^D9`i|g*4i>8bPC9D|28z0|mrgOx3K<XB
z8Qr+Fh@iV^p5TknKI9fsn#4_t#B4UlM@L1&M6rYP+4N!T=><#iXtQsP{&nF5uJ#D=
zc8fn#k&oL}+E;fdFvS~N_hizv%&NurYs1>%rpt`Dj`N4V<FOci@73#7w3YJaYzQmF
z-y7={@W*6d8hJXHK<ImZF#6L`TpPB$jJ@9|jX`bG+(sE-*o$W<;uE3X&KV%nlG}&<
zkd<O(vauo-nsc|feF=?Qb}R+lG7vP*YyP7(4G};8a0Y|7N~*`YfaHwd<)y9pdK)eP
z%s_O#IrLvz`uz?~Nno|Yd*42+*0|mY8)0E#8fPm1L3f@vE|Q(UzS0ID;0E{Od*T4J
z$v!|$xwxK|*4rM41W2SRb>^7wNEWWQ=PSSj`oHqX3e;Zc^=KvV`!^OEkjnz9sI0Ow
zgm-e}yZ87VSIYW|yAdp#EOQ`=)X~K6F%aQI;>*M9oUhyLcK0#&MCu_YPiS_qjC1+d
z#N_zEr_nSdeo>l1qS-0dgoA-_=4d>7JvAzS<`*BoV9FEhl7)|7P|hWqZMZ@IO0D`R
z>hhn-9UBSN<ceFB8PzLkaC+{WSmAnkOfh<Y9HLm?^^|=AZ96jL9b0pLM%Vmt@za*T
zq=UD2;MJ+NdTlM-7FG>S-`oy2(2kbo&kZcC8aVaX=o1AXA5A52Qjr|osRkWivCHOU
zzq#vjfjU_Iw)9O%b|8~wbdVJW6IfIJaamtS={*#D`^D*6*cAhtvu=aEkY6ND;sWmR
zBxkX?x5c3<M?0Krk7>RrC3aBd{<Rw}rHIiNC;;27`2fR^D#^ii4@U}HZfCGs{ZuL4
zr~7J-3A?RMsx^!iGW}6i{OWPMJoaRqNT6nWf-g<n@3`KSIJ)?V;k)D1OnPd#q;@{<
z%D&h&E?-m48y&1NEVh5Y!^~f-8yOPHauf8-g;AKC1?7dR*gEAz^=Xnx2}Cxk(~PNb
zn7{YG<hcR&VDUHm=A!@)cRn^tVa{Grpk>_t0F{Zgv9Y02q5T1kT4my9=zqrxgh%$w
ze&W9n+O`f~z(8!~B=Fz5vA26J<Kkxy$6@#B#{<Jha9s|Ruf}S9(&T`Wa}(`;$cvgw
zJk1KeRVz5ZmYLP6R)8UK6!n}EH)YnduYmzo^z~o`GHM)*g$qXiHm{3<O+t=^069N?
z)m!?uRbW1Bf`oORq(FK9h*7Z8Y*}8wf0lINuWMKQ52P&|U2xs!M<;cjm@+8#l+;$G
zl?_Fa?c+#Er&Wp#0a}nBr%%N0zvtCz4NY%8B?LWZs~4yS7PWXc1~6$ViqU}xCPHR*
z8nla?EZnzS<#Ef|hz~2K*7RfTem|h;AzqE?1UEDW+2Y!%6)Kff{>3w^hW*m$0gltX
zqS|P-yjNvtGsTjLO@u>JUirOG*f;L*2_|fhUWSB35oQ$ZM#`jXMpWMF`9VGebJ#!5
zEMnKz?t7tXb4YE7>c~#-p4};e7&6Ia+Ez}+?2PG^%0cn(&+gsf!?AV3f$GJ4TAI<f
z0`L<dIOK=MfTb3eCO7NwCW26-SV|B*lJu&<1buHhMkjRRrQNm=Y*MhbpcdsKg^CYb
z>mffE8(eBcy64fVx~nkjv8Fbx5UWQi?(ZronmP2SO=$9xrHzT)j?B<-i!duVcV2qG
z>iWM~9zVMi|2Z8Yy-uDly+)pgWaQhrmyhO`Fpk6r`M%A0Vxl+jCyXG#(oVhH*STbg
z4ylnmOl3FUBtL+>Y#_*wp>OieH?5M#Awey?2ZFsy#bTtZtm-qUUl3fG=8u!gYf4Km
zAzw`l>U5ib=wwehg82v6MkKD{j}^t9O1~iuucTCIR=O)lNBUu#dQZS8%AJer0y9*`
zFYKH>crNqY_dl(-S>Xz74EK{%y^-^hUV1#zac`=D#kDTs-KG&|r;pCBzn15*M-zp*
zKU}L=P+YFL>Z0n+nZGQ&{RJJQXQrLim%8sGsnrLQEo`~xQJbH2g1DVZ)`R>}lzUpq
z*8C{s6^H5luBc6$Q;MD7xEa(yd$JmJ&}J>k2Z8~32DoiSnPod+$3|~>C>p8vGCe$a
zg)5$C57%vV$B`pE$!R&pl&4r}T0vBdl7bc$x>rYfa!U}z`goR<dR#}X$bSAR8q$#Z
zPCv7z+RQUXy5p0DDeB(vu#0QRa`B)*$LCutCyF@jeI5*Xnwi&f7L*ZIhCUUa&X^Hp
z&1(bq-8H!_xIrByL!V|FLNz_^xf-1~Nr%{$mpHtPGB=p+CApyiTB{>G1|4W|adBX1
z$Vc-n`LON3!eKuE_*nEE<eJOS8Xu1iU>#$jvY+0(yu5zg0<4+$U;5f!2(<wO1uCu9
zd5)Ls5!u<<7wWC>Z_m)ZeL2~k0AoKSJciff<KvIp+o!Jc8UACg5hh8fEzx!EyIFWp
z$MYaI%JMa+?>DNd|6@r7Bvsv4Zi;%SX+O#;Hbt1MX%dI|?XSVycncC(7loBkUf|a#
zH54^ttzehe7}A5eHS%n_9A%~hmHGr>n!`qLf1}t_Tjw{Zd!ZeSUKZLYdZ(}>K^Zv=
zaj}D??^C`0xVp;o2ySPkqGI6vS$^WXFC>!6mS{-+@w_H2@rV&hO9J1%j{)tniD!`?
z6!o;PL<;dIsIX+ZEr~d*>%zBYrFyU|W=s^F#GHcqI%k79GlQ9=xvLLVJ&}%~8!R4#
zIfTgQFa|2lpD8$F+hD!@r^-9RLXqv8s%)_pL~CD$MOT-?E|I75#3~KNcgMxFBTJH<
z&un_@%)U?vJF$x|6DxG!tOy>Wb8kOJU`lb+$j5eYEX6Lk#!!B^>3<USe%c*Q`GVCO
z<DHn9Bh|h{?H$bh#Q4=VTXbsB-&vk1$L!zA+Zj*h&+@}|$;#HY*emN%m`21Cot808
z?-oOfGJE4Z$M9;-pDZAWeZoBsR}6n8))Q_12M6XN{q-N$O$kR${YIWaEAt4|J25xR
zDWU5#zI4RI5CCYeVLvMbMa{*f@lwYAt=+zGJI5Xz@qgOo25Y4K(^FPsqpAxz5QaTz
zcXaYlDxjLl7nE_PUrM+7Gw*4K3LJ$#Rt=C=ZL{go-!*TJzz-L1S>~kKug8AhS9w@z
zgeyNE^iJP5=zHlVr;nV&)#n>1%$`vkXJC+s(7InJ46Y4xP^?%7a>LW1QPe5swTW@g
z$2O8qBtM;Di@>=0lVE@<9C2H>3(Q?p9OKzG0OQU{n4|<X?gowC!)=>R@X2E*QPhA*
zmau~|&hYnEMY65>`n0wC1oF7dC0Q~;&<lS8G}wry`y**T4(Cn+ec1#msK9z~7hIr!
zB^am&2vuCtBP^QBO+0S%UpOh}b0`w=6lV}zUsDM;Z=B1wYn{3|Vh4xaiy9>Dnw-n~
zC>5RgzxOiaDX_<d$73oft{DZ2$7kDy>IBL78^NPU)6hoj!C0LhKN5D?{yM;{x=^C<
zXUt`<TJ^Kh=hKDfS^x`gx460Ow?5FuBGjc@$(iF7!Cp)HcY;7hU+WufL9N|)yts%U
zXdDT`_;S|yT9uug+1%8WwW41;lMHtwG&sUW*q<euq+B|c6$!dqqj{B=&f>m&2E`~0
zyyBjq#b~}&#MwVF-D?C$e}aV61^C^omxK#bQ$9eOBGYQU?fmXeSVrdSy93uK%>^<w
zHTC~suFpAu7P$|omHsO$>LUQ(cW`j<{h@yYgh##S`wJi&{Skx_CS-4KuYGsAy3h({
zU30(FC{eA3BqSuvUyuBsQZ+bXQ8+pLqZ$6J{f&p`<yw9ujr(c-bSxrZ)UX>+)@{!J
z{RAYhf2H+nUE71v8`f;+lfw8LKubnYTpZ4DB*A-UI6nQtV|B*(Q6qxb43GC75qSGw
zNHNLQP){V3^deqHLv|LoN@W;KW&<HVZKZAq!kC;ntG?KjnL}M%>}Qmp@ImMs10!^D
za)-axdU1bvOF{V)o|-cQL8;n5#<#JIJVX295iYhZ*JoXSaf3_e#u9oW4u2)c<qx&k
zI<rO_XmKl&Pu53#Q8XV%P|2!kH;Fo?CUl(|#78%T06hvvEv+a@B{B7A&4nrTA{l=A
z+gEZF(}rWUnV>jx^-Mb!L%CyhhL^cOs!uOvw@O&(UQkXViPo6Rq%&;5kH}F6Y>D@?
zIUlI{hAOk(20tx5Duf43FUJObPar}tX#Jfg-%Z!|^Kg0RUWqqKoJGqcnblxmJVcqw
zVvgXJom{z&G3<No;gNJx^J=Vux>nx^;{h>yeFV-|)5XHQ@ddx1DAtlNNE?F?;CpNa
z!q~+>bCyU;yachLjmSW*PO9utb5cx<egzfmT99CGVGj6=o00XcO7mrg`lIa~Y9iG0
zX(Q+${$@wt33bReBFrJ-T$LEZy8YI`^xOS)<xwbmF?zNGyV^|tBo6Xw><u@AI-M+-
zoX%L5%Z5T2K->qcsLd+K4F`G2bb!uqyxLqp?BGfBZlq;%ma+VsD;}?Vsqez(;_UqI
zoe&IEDW5>^uJE}M)vMH}$^QyfUK$|2SW#8=4Y1cvPL32e*zSmJ@9d;joi^BPo%f<^
z{p&{LeI{wXZ#@T`E+0Xp5(!>N#6l@m&siZq_{D--QriKowB309zl>T$sO3{wMQ-j6
z3adw_&*y^DQvXpy&OsiJXJ=5y?r44<>Jb8fHD0I^jN+3{=Xp_^pFFT<J1VI@Uw?Z=
zFIFmjoO6&0Op}NGy3?Idi2|{eN5uGD<@k64r`K_$Ysnw)hp3h$R5a4F-V@X53Q<iM
zVHA^&7JjA<FU`1;dG#~`#fhu3B#(pnW|Z!n^3}yR)YaUJl1S$P{#pYc*@B{!Y|P-%
zNXf^;sIRgIsqH7O05w0%;hqH@hGv#H%G>q>ccXiVMgdDU;=x?9l6r1UKRlY4tsRNp
z(x#7}A(u*jB^+XoT>WY;B$uY}VRd8l5U-O&&Vjg`DP%zYMyZm^&!n|<l-n_7Ok~!7
z45A(G4N(rbW>5ud28d9Aaz>Hir$=kTUrxx+3Wg^lF}flm*}IN%FSJeWZvM6Tgfp8W
zee)s`cI&2OJQPK>K&FU6@@)>b)fi#V<{DjIaxsnw;vZ9GK(<D#<;Y%xI+-2O*#q8d
zC=$;x;f%d;mS|<^Fri>OF@J%)uXoYtR2={~5kYypSka#f71j_Pr48O*S()luXr0|*
zAj>yksIyTssG72@6-_4#kZ&xNs%fJV-re;hY+-2(!<h~dI)${p%=eR#rgWf@N;DE)
zW{WuFNPKoz@%c`vb?xn!xJZKr0%vSAPg-zy0s3i8O-+h^_43Jmope%UWaPxr4f&5B
zuenWkt=8B3vTQh)6@x=Vk7GA0!$n0!fWCH~dSvn+*FGI#b&gm<N=nIRr@FdYr+RT>
zf!yl)=H><(P7gj@D&H4~9~~YZwwXD#Q&Lirm;DI|c^bQ!83tYesQbs%qgUET$hhpa
zpVHf>sUuyR4*WfcfeMR;JX8nyH8*LOf7_TMtvZ&m8Dej{5~EZ}e*>q189=6H6;V`t
z-5PyP<FtzD$r3!En8Uyq_zgZVz3`aBa!C>C9;D>~P3WmdPVs0Cvh{>GX+eOjm1Gwx
zi+t$AkoyN%chMA03NR@n97GG9^Gi<v80jsA{E`FiC4hB^Nt?*i+eCF^c;yW~*;%p?
z1FynfthGEPqo~=?lyCIl*}i6?PuQ(T3P@8DD6d^dxb>MqaHJ2sh|QfyWH{+lZ_*rV
z{h$ph0va=Ip-gUkmCk};?)wj5mBuRN<PnI#v>%zuzM<*FN%V1@_ARp9!jC9#VL&W>
z99C&5@2Hnsaj&kzP4X<?A!7s|k^3{#oGxq%PMKYptm2=yOL8qzc~{ZhbTMQ>;k6?D
zxmyTb&rLZGOO?rig(+jLL_5_sl%!U$dJie5V^kOheJB|>lbB}1tZGDGA4B!1@(x4(
z(GlC&WMm8CH^yIl4pJDcHEMTs8_z<Xm}U+Kg%cuc*pkBPc4EwV2#Pqmd{va>^4*x3
z%dUR!sg)EdvNX3#QBX$|iMVz>+-MbWUPjMZSXl)Q>L1pLHq54#P8vVIKjPPUY{%^E
zYzV+jME3GO;|VVg03l%We06(=d}T-Q@JHZrS7>*B+~G`m+Su>QPxpWY{Rs<usnd8V
zJMTf3CLkvld5Hh}cjEs>B5+P}YmkG0Aol%n^*Ei=sX7VB9mwiB1I{I2*?Oy18*bz!
zTk=avetEr&Z|BRO)&caG{PlzKPY#0c)r-%mM}_h3%BW%BvsQFKBF?{b0!BQ2`}Qrv
z_bO-Tfc1L4Crn*JCR#F9!o{Rvstn^tnxi<E$uBVU0V}U^QVkkZ{kj|#QB)2HR%UZb
zlo+jM=#_U-yt4mXVoJDv<nN6B+iwBcF@L?pJX3*K8Ov6FjKKNAB6Cd@iYHH_)Aq*k
z?)ZP6m0Mr+8XX^_OfL(N#Afh1R4O|#`pR+1<Kv4ae$C#P#%^g<ym0j9D9gHDjYn3*
zv-0X)p6=^NEa4vMeFV)o{(ZcH-=QBx!_-QStTzC2l?(I@^B4Zka=~>|J~4c&@@uk)
z$hOX!)<Rw1BYU|s*=EOXBfu?la<?o<7saZf5Rc+y(zoRe(z27dw2EUly85DIu1U$z
ztw3|7k{^7<7*6Q0CrjYdpo*L@S9-_iA?B=`|7UniT;F)6-Hep{q)V?0_s!z6|5zTX
zaK7Gxf1cN2lN#8K<CylA)xOhcmRGh&%^_fVu76J(h}%jLwjN+#XFfLTRha1<|5l${
z3IQsCChaYi>UENC`=0-{Osq^<*S<QAF*h&vJrb;q@tMICmX|>Ov@wTZ4U8^i_x$R@
zzq@{3Z3_aWmZp+B!(&PL0``PY?}u3iFn7ajuEZO-H;p7RZk(Ki1>$>P0A3_krLq{<
zPe5xKplQD!vmQHmo}4pjrY<h*z+{)Z(xcdTM&(^6mwHIw50JhaYVrTu&(0z&#lxC(
zn6PYa7mf7RT3pU=(F$+g3GDAJ1QBWJKmfDl=Ej9atLY}xdDjjJREHZIgaYosiGHR&
z-b&5E@d$=7ct25pb|VVcOIF^3yMbXdl_t}qK$Gf1jj^9CRVpVpH!~vx1hll2Kb|-H
zMCqQag1y{|D7z60$eV>p7+;Xh#+1xG(}%VpKBw{nF;&|tT{X5NxZD@hwh7^z*wCYE
z8YF+cX0c8TOyQ!uI!X+{quIT~6DWGX?Q}B?Z~?^gDeFFEi<;B}lb<>@6;#k_<S35M
zNG?2gERLs7C~)S<!eMgfri7a2mxeO9BS;AazCA?+U?UHTA@!^IYc4k?U+8U^d}~)y
z>r<~t#8gPiYuH>?!pSP4r}JaV(u+3V!^zEpR2&j`L)=z3h5EZ$CrI}?I_f5Dt{q%k
zfg4&##Us4GnPX6++ASJg*E{e4Rj$3nl8XQN_b9O+2LhX=ocV0_w!ehNK}X?cq<z`2
znY>9yC^9A)h9QdUnehiq1PwT+ulDMWD|-xm+x}oi7CVO^a@KJvSqcxtXiHD~0fvXS
zuUmGlts*Z%_k(RxF;{CMfAT&$D1{#1`QzrOafdPN-ja^RWBOtmH8cz9qR#^J4i!I>
zF!S|!YSAeEvov4<aYYj{?bos^1Vdu8k5d)-egIWJ(Q$87;ZSCk<JaMV{%(&RxphdC
z@_FSK7!Gsl^8&4t78c8(INcMb{ad_^v(L)vHlIP-t4$8TBkrdd=6&2JMnM^1t$DcG
zORrM@pIFQ_!PTV&eVDUsV`JkCbS~*lroOY`AW&;Gq0Fn>eF0K|^zM)LB`TGhp?62O
z&`<96=t)J1;bSU=Qa;pgP61bvi{hwe1{N_^;l5P~BMsA1I>F7G4j#;(S>!cT)#u!Y
z%;|UaU1?jvLw9498=<(*RVg>0hJy{XIw#@Zj47a%mLMQQoE-1XT=hS6ADGO<ggEVN
zh(}B>$M;J|{B;QQqZ{nn^evHRB~`pl-xojAe(>z0w0NSftgo2}Nlhe7<eQ7Bke2mE
zQBbh_%QkvZO>w-?marD$Q045SR7|NS0^;r~8UhmI@%ZBc@xl>OXH!xIz2pe7PH0I~
z%b0KniJUhnP;+#P@%??#-4QFsZ3?;wH)yZlYx)}Mlv^1B&-PX(>;I5#Ur<M|vr-D1
zyshgXS;7ZV$(kqM-pDOo1%xaZxe<J(cJk;#{|U}XnXX7nNnXQi**#qt8-}Vt%UdS?
z==H^+imTq|u5Vg^M{X$sFB!n8XF=7!ogpPcq31G=jcaHjg95M&PR-4CTw3hB(hZ{Y
zzNfLXd)Xa5TPwPcyEYohg{F)*mcnD)Ob;iN(dvXA#C$g_v;hx7(uQ{n4jvzo<pQWs
zyKlfY6sLrZhgJ9c3L2OKLKFAE{j+?2>uQ|0-wy^^MnS=EFq*8}n5k>Sx<fY-+o{9r
zgEJ8S^xR2%9~0S)4+n%A;E34SF`*D}-sRyxKqCsUGB~@q=m4MJ_w&AbpDfp#)xLYj
zGd9ozgu-6?Hu8j`)12YQwa&eDJ*lnorlep|mQ0_JNdL~Mij2E7=q}3XiOkN_(a%|!
zwoE8NqLSPQ20`;P@HdA2R<T`l7WGQg)BRnKp*59(9d85yq8^lRJy8`#`ok?jPQOkt
zrH+30{bkw|ouj_VS7Ce-vM(a>HW;*D)CdrlbcBL+G>g$5ivuG~9^z0Vn=H7I;6Z;*
zhB>S)ZTxzNJnAeBpBHN5#n{H%l^9v3zV@rojca_9&qs^%!_E4WrJI*xw<)KI&HQXD
zh$G7y+=b}QX|?`ul%F^0NiIj{Zlk&E%;?f$DVsN1u0FS5s&vsnE8sUQFLflt7&C+@
z9=k$N*D6d?D<e6mDyHDpBytOUodGg5XDIKUs{&Xup(wD<O0jgci+;|TbMYqxpFM}!
zG^dlK8eiSRBqEg-Ixj>S25z|5q)cbHoj}_9Uf&tsO2TzxrslLkeC;x@g)<l%OQiLw
z9|;^ZMvp-Uz>vmXjX}sYGRteGf?YIcTq_T)O$A|zJU(Mx=>EM{*i4;ei<Cgo*POgN
zr9tlbIr5se>{XwsWVCk+WroZDzhTe7a96gKnf;pB`OKE+>+#ms#3>UiH3rbXV}hd3
z=*JEGCO|6b(JB3u=;afB(RLXQLE$(8Yc#BFe&{0rGwM~UWRNuhhcbKs{Z7X0pC=B#
zmeEKi$52Zu9D;`<bl)vgk^%c%%bj^Bc+E8wEcc;Zh7wYK-Zh|z;y7L<Dtbs7IUd$}
z3TC*oQG8yMiLI(^5Nw-ub^Y5!ZChxF>)7|eu7CpYV{;BDm&R-=`l240QDE{5l-!HV
z?iMv-^zMIJPAB}tW2jImFp)3f_!}X4Mw)MyUbN67hu2Z8P%s-npHs{U(EyPS$*$}W
zCIC(`FE1uZ-A^}_TY4e(=TV^g38CxaQypz!X;EYlTt$bkna>AIZHmi6>1C-VJG$=0
z+*WCp7!0=H$3V?{<Ds18eH4!FJ4PQ^7-O{)q$nxlT;%n^OsOl0qLxMy5S2%Ok3QiY
z*NF|*EL?d@F%F_AIfhp<KW&f)RV?g0;uLPbV4wqkds_FqA;Um)rLVLnqqqreN(&C?
z@BEni80?trQuDGwi4b-KRo(EsR&h<gK5Qx%yF&Q%nrU|!gwy}elcaImbn>ASpbAg@
zx4f3W0l4%W_}2Pvh!qFp5T~NC7*%v*;vVRs4rgELDNmH=#pb@$o^N%z6~g1=cdHbZ
zG=@4XRf~Q?Y;tb9aRp!AZ+KLdmq51#S*?ne>;5A^Qh>)3r9CMQ<04BPmYpV>4pHb=
zWLGbgSz?hH+5Bno;dO~TD5CYygsUz_u?Krs^o@ZiQN+zU>U!rNI*Oe$0xN~ZbaK>c
zH_Km5{TbF3&!^8s#udl;3=JgF^uC(4RhAbLmRqB%-R{kgbCX;0sPw`E9!MojxB1rD
zjZoZ{XVw?{+?)z{z+A$^NkR)XrvAz99hk@1DZA?<$um>&Ht33PU<P(qFZ5m(t+;`N
zqAhy)X>u7Xd}=#GTj<t~c1tc{lW}}X^Iz+Ht~Q55#};20B4`i$w>RFXb*HYd!B(F@
zOiLIME)|KoSvj({lC<FlDeJ_XJ)Fs@qvi~yj;^~}^F!>YiO#tF{i!lbCuI)R4Eur}
zN(11d=_ml1_J@{x%X7?G&1Ajt>LZBHmAW6L)BMyNC88pb6*Ddbvg+;1=a+(`Rwoz8
zs}#6i#+$LBzSGXMJAKY-+ae+mfvFdh`O^3jX<V4V43+<LjJ%$|I}icbwm|+5v(?Wj
zQu$SFn&thd%Ie;LAq4I9^;N^X@ISr(b>RIsfkRy&e|iJh=!JnGe5epHAm;fsuw^n2
z4G&iujpHSZ8u|qU=mHWAU82N7vlH#m(9pY$`rTn)tXv+DzgORH@RC+>0Pvj!L{ypW
z{|5VruUvHIA=UIo=h^2c4*elRm0yvH43=)0h+x6)r#Ft5F`Qp(N_02Y#pN_>knt#j
z*V?}a#<e-D(Zn3aapz#lKmHY4N=*iG?CmyZRCTk4!7g&b=pR5uYM9lx>!Eisx4mz_
zp+Oi9I^nvU3mseF66C&)BFZNfW}lc$;Y1me{*DADPp!;njxL44IK`m&BPfyO;vlkB
zx@7yRT8V-q?W#_)i&|Io;pIZt5AZxvhf}*$w;lYzEK#>`)f;uu!Q5~f_@^X#aA|kc
z2T&M#rF1}T&NPHNR&)k;%h)LQ&i!sCS6)Qw9(s-7u4*qEYHyJk+<YQ|ovi|7VfRas
z{tQVeKW*B;UhTs)c^}NH-7pG>PvRqmvxCo3rTZ^BIRg@0b?2BF6Kfxt;<pDso7(sh
z&GH&_D;x;Wy^I4c?RcECcyw$!;?R;$>}@wi)czA{H(T$ni~&hHHt9@`hJpCmXvnMj
z+Ak1aYU0-Q0R8Qmzs?y5Nc}xy_14k*rGKGR+eyNO+e{$AO7P<B5a?@h`nxionx<s#
z7ciX(xRZgqe(2bkRDuL4fP#cpR8#~8Ktim6&$wFvTEhF!Ma9Jz=iP|i`oR9o^K{G@
z6BDBiOoBSUyzJ@=!@d~fJbP{;`(Nj%i5bxB&SRA|0e`fc*SmS(9WYfdm*U~!@jfu{
zd_gZ_<D`DQZ?iY#!ynd0z%~uk3oUQ2Px<EmFOJbLX|V+jSPsJ9A(g<8j^Q)6($Z3B
z7?@5#RID@@MgzuZNq))7&PKw-3<BhuY0EdY0M2l_o3?%=-pFea9l~CIoysiI7FNAn
zUA0L*)a6sLAn?^qo)10YL{7~e+8?Yb6VhlrEZQe?a-cNStHNB5JtPaRt4BbPH*XT_
zyI{}qTe}>~r*UN3Y9Fc>FG*(hib?(v8k3OTUZW<FQ{EDm6Tn&A>oK3R6Ko*>VY1*B
zEz>SZ$*iZ|5Y%6eIy9EYVN_p)Op${|%)5JwYBYTB5=*~3CZH%)(Vg3OZBBBtZ$b3M
z)Vk7>(52`K`d?EXlgZOLL$<u&NdRu-NlMy^kzP}<t3wb9L`dUXlDC3DUH^c}k$DlD
zC~xKjx7q?Cm`&PLf;LDM8%-f&Ax?=-BeD6TKoh>nT?%QRDjJJuYqw5hDAJ3rblp^&
zeS%E#Pgl8W;?NS~DmrD9I7~u?yRnFstQxZue&V(E%a6T~vt)jq+`pJz6-P*W>#Afo
zp&%6dSIl%<+x5UeGOlN`1l_qHjmf~U;CW4<HrkO#Q#APHWTX58h@~d-)Xjw^w#+l_
zk_6PDCVXQVl6qCrBEM@`9eX#H;YF1DA{ra&Y10~7x@z7TG@L%M`F^WBLfYNkB?5+D
zg!cRZHX>+v_@0gK7;Rx8A>d7sOv(QoCBE;FU({ism;lx$6AO!@YGft=ERmFy1jbL2
zEtV=B;R`XFO4em`j}2ow`&ndDRo-YE{g5+X`*~f~qJH7TT<fN0Zj!IOWp3w!3JGhz
zvdHdeo>^en;|$BF>1I;L6eYq2fUAS1Jo5P&JR~p&^t+yt4k&8AphQ%u#(p7Ph_KqX
z!2KaDq_MF&V0Xxw0}VPa&jn`CH%FMR!UrA5gS}7A&PzSIMlb8yA7%1%;ZA7XgD;FO
z&sW+;5;n^Moo8{xkmI;{R85ov2f+E#VU(oh!R|%Ll&VVCCtOCzsgMoB#}D{<`4e9|
zj#i?`^|Hcg%tQ8GiSI<38UHLVDAWtfAV%X<rx77&M5{k#X78VzEr^bD3<*~a;27uj
z#~}SWJ64Hy=D*+}?PVeL!<02$>IFYEd6BvHCzQuJ`ouT1C;xUHk>-H113P^YRt!C?
zeZq9TnZHPf0O7HRFhdtxpv+w}{mFl{{Nk@~<S)jOG8-03g^SbW{Qt4_P0?|-ZMc)h
zw$mg{nl!fAq_J(QvF*mT)7ZA{##Uq7_I~^Q`)u!7D<@fNPG;VD?&rEMEjauX>lj`P
z6QOKm(5;0)_cxaL$a4=ffWQ11ly&l;iv$3WZx+Pv!pw!2a_J$V5-X2wsuuf!_8wi}
z;77t2=K3a?b$LeTY=NT}IR*1!qB&cRfNEYJh#>g4WCH><=oY=Mhra>r&r}ieH)}61
zULbRqgp^dauHb((Qr^G(IiOum12`ghZpN6K0o9VcmX_xT7a18@^Hvc4Wwg&LIAB}_
zQfD%1E#IE+K>17m>$sh|)IMx9zy<xIH>-_?(a7ZZ7#UH4(`4$%vADQcju6=0q90`W
z@bLjX3&tywbS)6ns+Ik~?286?t5emZ4|=dBHIunoO%N%6@yju#DaU!(G#pQ<!~<)B
zQdFKqBexAfNg91}gwkIfQlZN!B}wDKJ%8c;%LN$)34!32k4|ifUfuK`m>!41=FC;<
zXllV_Xbh_Lv1y2Ge_EBTcuc%llZS@jjrSenOv={=z7A!;(xoXS60ekn^`dlj+RKcW
z=5KsCS+Y((??D@0AuVl^Qy90P5Hdgcu{Dr_fNIx#BnVRLbmVwQ-7mCW{x*phm73mK
zo;K_?=smaxHUt#cA2a6XDW`U!*!LzTa0?52#q9}s=;A7Nb@0fhQ?1tX4w6O4hsJr{
z!*%S-<RXD+$*p&fa!0-FAJuz*3*%M0_<be0z#nrR0&vFjnT%e>te{4F7QY32tHt-E
zV)K^*;IE<-8_U$@OUbf&YWWWK2`R?o0^oNHmK6Wx!|`kkXmC{)Of4H=Svwk{9CvOH
zNhP?4H5K|l*V*!eM+i%JsQc%ClDgGD-Fb0~_|@@6F@Vz}Jsv}I0|Ym4tkqMI+DX9d
zB()t5sUTUW%aP3PZ2t-k1snNt%@*q5Sg$GPyyE{qFUAH8*d}0+_yIJ9{oCHMu(Rhi
zH$P%bGB7Zp{9Bg&+m`;W{lAaK6lUw4{}fOm_fHUK-FC)SuF(Joc)*0MD%uf6goN}q
zyMLu{IUQ4y-~v*Je;`$Ax}roLQ5z^#FKoBt=Xon;YbQ3Wn$c0F3u_PR+X@>;m42qa
zwvZ1|iO#vE<4m;E#f;3YRV-t2q8p+58_kj}T%eIbKt|Q~-l??0>+ENiUwRMUai}Vj
zHYJlo^}CNu2DPo^(&9pRWPDch+5DC)a>+Y|ikl3AI)0v#DbH2ryc267&fdd)Q=#B(
z_bvCdEM<%lmXDaF;D_=+E}1aq!J+xR`)@`kQKGLMSPjyLv?~J$5SEr-U2to4D256%
z+sQicmEmS3YMKU04|SMUO~sS;Iuo_lOVG4lZrK1Q>WV*RI_Iwgfbuz;58H<H%7+`?
z)>3F^6i^zU2*V8AqbABKSfWdjoIm|bCEm99Euf}7XZ_T%xr}3{Yf(`jcg=st!MXjk
zYpxgl>6yZ8%w?$k6Ua4NuhO86)~sTtvH^CyxiYqN?wtznI&f_V48$d?GnB2Db2493
z?{wBK^N=r2J7HB}7Dii@n9Ji*5aCFaS=UAcx)ka3lyR+IOb$CMK_}=ci!&a};uIRN
zi;2y`92^Ma^2pYWHSnlNfK#bce!R9#j++M@qg6#+<^Qz}VvhdXQvz$ME{IlEz<TlY
z^rTj61dBw#;TseLrB<<Up`{A!&;bo?m)=DyGKrt&7Lm|a=n6c<W6m0Ls?GL#Df?!3
znJ~mmO@d#bj{hNV;Nzc_LqH#V&)g<NJ}eL!CQTdSY8F1npk$`52P2<oC>!IYp+xj#
zC8Atw>hJ3Al)Ad#3O4qBb<HQ9w5ozN_VxhaHfz+#d5M~do;BWtM$z(!#NcnyPeoSP
zR901dOeSwL;TS8^zQytPh@i{@jHpNB6cDI^nR3jRs&l+U-LO*P6s<p{yH%g5$!kP8
zw-86?TNPWf=+kH2Pq!8JzKwjhhX}%sb!+Obp21Uj4s6vQI$%uuQD}slh#9W*?!1$R
zo*2w+G_;t?jf#72T@HH1Gcw`vEe%CUpHkBm*(uKAWN^bH)^BH`l7Twysv-tB-K3wC
zjUGXs1@&H9m0fE+F7ELeZ~XePUVCg)hRh{sGhOWG!0_)AuEW%{D2hmp{#GSz;45xc
zWs~G_G9qVE{qz&Mqv;3?ZOCQ5lNv))f#M>54&}=A;;&t&0X$6p&`&2wzxCDNo%)(z
zuxF|m5|$@$41;%7>SK5f<tmlpCcZF<T<zt0Muq<_1l}mXncer#0s~AATXKZ+2g;TI
zE0G7SJqkRYw_R)l1%gnZ{=q>5pphCNTmp4AtlG-|gF4>+z+6ZL%1aGi?$1(qJ=l_H
z)IZtSTvW0@gZI)V9bGMWRdYWHtoMZ{Xn5vNF_}M`iqPEDwqB{jqT8)>enrG{jPiWV
z!s=5i9gq}WMPbZUs8Q$BBhX!uLKR4vpVQ=}?0U}&)WJvXt+x!;R2QvWrdla@l;^lI
zqkH*zf$>bi73WwSP33%jlnGQ_OlW$=8?;$6?0i*y+b{)ve^W{X6{UDd6RE?1IOIit
zO(Ui%cwDvIDPn5cb3vl+A@+cLb3zfWu0S?b8D(Dq{~!&nlJPAHkCv&>EZdALpOe=5
zv4m<7d;C*%ehd_%^L)su($SYOUP^Mm;4*qDb9S;{M^md#uZ}&XR(N}z;Y;II=0Wz>
zh==q$N~UnimgcB`ye`I|LH&`&mf0F(wap4bgg#-0h`sLIfs`MVs9|dx;a+K2JuNTh
zot8EVWV(wb3CML!LY5A>fj7%JVLLQt7^qP#N{Jn-PVe#VpB1H`k2%<-J&bj|hT=)0
z801*?WvJP|#EnK~w##Hza>kl$uDZ3_rp*vykQ+8MmKPaFA}~>&$$|6#YGz~#xg)%x
zu_w|&BdO`Ephb!prCR*28xV7pfXfjEnEdqZmwxvs|0|p2#|N;7T+!?o;Lryqy>`|A
zzHye<?~a=0jsTGPGdwH+@L>p0KNj&{1%RF7xBCwKKzOl|4AvyO03>Y8{S)zHTR`~X
ziD;6O$kdzCYA%basKU!4R9tB_uJq%)B607mOq{b}z>bPDqVlivJC8{fgo1#zu+9ZY
zq3k$8#X4=;0=w?KXp;QRp;&N6b6lLic*%LOW|Gl6H)5<LLebLP+|@p8N++;F$+i$W
zhFnXXxW+t#HDB@oVFLhs$MB^j6<|CEa;hfuvn&d#=5H$5T@>IaRDXi+#d5fss?{)}
zp1I~-Y%wE`q~hM(KYu}7%KUS6XIElxMO9$gO<rl?5|}E}X&G#=@=P;X@I^5SlR4pd
zgAr9w+onoZ#Zq`aKb%xB01e?f=lDtp^B|yy_)W2l`~|{}(6e24CRX~7kyE%6Cm?QH
zBt?*ilp?eth4g6`k7DJ?6{{KWU~W+ND|-_>0tEDh>XPXIqwr8vC1+`^Y#N&CXwy#r
zLiCdX3<UR=6A2psv6qiSE1}ZstvFz<veo6UWv{JUF;&r{Tj`-G_Dlq8(GqC0&j6SC
z&hs39;>A?8rMOG<n*`6l-r@Dk%g+D&atoyG`)L+{Tk;Cf2RU{8&j>el2|jH_ma?eh
zL7POc8?|EHh8P+eio@-ETD4YS9f_U{xp_Q%lGwF|%MIGh3MT&qdQT9J?PXFfS5@#q
z?d!*XTHv;!;2r6rOMc|~(NSve)_A%Ry=B<!$h7miiYwgCgX44meFj_NC63+(3UqpB
zyuH<J+j+Ngb{(~lS}<atTT0SdtbU9TR5DSg%Ft293aQXFv5-SGQFJ}w{yehM$VJ)w
zjQD;7SK@Yn+p|NzLKhnUZE~q<snKgy*DT$A7{9Y2aRZopt3DmV)=kwogIAbI)8P*c
z!}cB#R7ZDqCh+#HJOUOr?!O6Hwbr+ulL&Ff_N4osD)Fx(8K|?)@r##u>IC|Sodwo0
zP`s4sYRvCS15PNfjF2WGf$U`0yqMv|vr<NO_CJg_XQg&XxkFDtam^=?HLrV(0em<+
zAVn#ovS^0iu*@?xe?+-DZCZ$v#t{$3c=PJ#_Mi$>_g_d?U%7m$y#o1GNk=HI>Leok
zqZ<a4fenRvEYna}GSIoDOBH?1h4h>5=GK4YOW2ty9c~J)zw!GnYh9iq$q_0(pms#Q
zqE)hNI;c%LOyJ=B>7;NzX|85`5T-M8!JZtFJq{$@T=D@)H~)49v7&?mAMbDf5s4`b
zV0j{uz18}CC@3hlf6oX#FMD*0ga3CKd+-IwQLTE@STy1bN3I&60@iZ5wjjI$h|BpO
zZ1Dbf!UKMVk8CN%lZ6TZ@638_VU7N7dxksZoKda8KNbrukOG8k1hfWk_1r;~Dt{*{
z(vU!6r+vuh$0<D&9dd4(>8VDpR+(~Hst+rrOFAo)ctPw&@Vxn07!fc=W1HyEWW&`B
z@fQZnGq^-pRxyv=6?anMNmXG-bxQEkII&Xt{T)YA%y%Mz{jmEgjM|IpC8CM<VLYft
zV-wj+CaRwm$L<i&o-h826}GhA4`>3NB?q-x##R`e7|IeKg+J}xLNZwj(oI-cW6#5p
z3<-?hOi+J03NgsYVg`j|UJQ4J6)Aqlu#Y(5;@$N&6PJUvRH|yNLI28EVM=7i^%KEt
zD#i9la!)@>-BULe9gEuVyGKwA9<3=_jl3~ryusw*5TjFg>EIAUAzgR;(3n}=-VKTP
z0KZd&T^cw^U}Yv+@6(}-02GK@!^oS!e0TMJ&Q1z$G{C#v3x*$_rzsS+6J0To#3vit
zkmy65Y7`k;5#(U@ks+~iiUOzc`QV|7W<hXmipn5;em-CCU?5J0-z4cuyCv(v;+9LN
zIMt<!e~)L56=yNs=tEShT_!#c_a<e7{Gk0PWHm3!8D7H1TMT{lHx!_~aa2wDpKS@x
zTgFjyzWBedc<NFz8_;XubrKZ@5%zAmQXTy55bOH9v8P~yC*JV-vgv9~Ku6VpqD-?C
zzS8`<5UVh4s0UIEelijBOi8PqE}`OF(ncGvx|iE(Vvn`+1|s6&J|SDB<}Cp&tuj;6
zZrZp*7rj1o29574Lsg$ZuMYTi?;Gkv$Ec`Vf(PWhvS|z_n5BZV&*8ndw$wWaZ%S9j
zZ?D4QFAp=gtKN-MvIRg#w3Uul)Xe+Ofv=$M!UrhI#_FRziM9r9j07D~+;p|fG0mx?
zFj$u2V=xU`Egcp`3i))Rp%xRYMZ~`}FUpM3rs8?#>>tf?UhAPs2YBu3`Z-*p#f?w1
z;?U`5g5cir-<1pa5^joHw3W)<W>W;mH+#JPer9?f(h%DrE1TK>T#P2cJP=*)n2ju}
z7h^GTW+ka&Np!aLsKcX1F$%wZPtj<staM%2s_>_x_&jgPy-?9=nOSbXDjf;Z_xAg;
zNL4B8(>d16J318n-J22-m3-BbZNm(Z>S{hY0yVS$!5X>M+VM4tnJu&az2)Id@o)NZ
zpgk|Wd6R+SA~V8m+|_hhv0|CTTe%BmgZ~3ehSf#Azp7|olfcb?#2-Ku;;jkN)B)-k
zU>_=lK<IH=6K}Zz4a{@^@&A?m+jNcu0Pu-YNYhI_@`zCRA>jAJ<c2>1qhAR35bOwg
zG`Q{pfh46OJg%?w2IC&q(PWEw(+PJnz=bU9>iw=H&s&2*Q`BNn4bL2q;C#V{u!t$7
z+rjN3g9@pCn?2RqT|e=@DT(K-q(YkXVWHv`Gar^OWmeR`JWzk?F6ZhV9uDKywwdzx
zJKQT3#u=zI+?$hE+s5)N?%4d`<`FlWl)#kT+Ib^DZ%95(CS6x78<D)Rl<x>{HD~#o
zjuU)1J;=w|ZmfHpzeJcg){2othTD3AM_FiBTswvnJ?zc>GD}*|%7j#7V}lzGK6KP_
za%(^KUUEx$k8S&O_9K8c<U058;K>hG!b5`wQbHn287^B*73$jO^A1}^8)Z8#o8ru!
z5%lF_V#aNK(mtR`t=*=$#lw`4R|yl?pR9YjeJmVOaNUvVuE=a_$YAn*caOSR7Pwt{
zKf8W~Pjl^BOA?7)&*SVRaV<9YF11k8Nu*r1*HIsD0q0Kk_$F?9eoJ^-#5Ee}A(PJK
zdiFjaZ;;W2kqOxJ?X~tR0Y0#Hg>de_yI8geHoXo4keL$^fv_iV*qCAVS+HpKDcBR`
zA0O-=L=+6<sQ%{n;dA8rY+zs@Q}dq^1qzY>8xYQ0x)ltd>OuYwh8g$xOm~_)#R9LN
zl_6r}0}KlkVzOzopRpTUN%;?T`7`ZQ`M6N|+igS4&e8gwayBB<(Z!KFROnvP2;IbL
z8aTxE2u!j5nwZJ~fbfn35;i$MRBkhob_Zi+MNwDbFTH9sw5`2W3p|N)#!QhkZN3S=
zHm{V~30eTTbl9ew5oEm1%dw=mz{Bz0hrDGp)+8_==<_aj2Ep(X@547>-mo%zNc_yx
zW>$!Ia5g0w#X3Sqy^!EoEkhN^=#j~VD=d;87Rpaa2AuQ#V2hmw&@{~y3rufJiN}u-
z(A$!c2WST4{Fk~ecRf3=CV62dL8zL>UlX(Sb#bFAihu2?fmt>nUd}C}Vps_MO)+JW
z&II?0A*z)9`ONJS`5knKP6ykFJYSn7J<ucZl86f&N|oAnh?a<mraE1?gbh!oRhE7Y
zC7<1SQPOs!H>Xp@IJ@|7J9V0=oa<`6N|Y&1BN6kTkt>ZoH^8ysjF<EdIBY5;MeZ`;
zlq{)4ykt1jMm6+ZjyEw;5xNA9{<P;3wfjegJnXz-SnJXCRE2+yx|qqtsPj~umozJC
zGm!hyu`;DJ9mIRFm$zq1W-h@!HDl`EH;WE-B@jZG6+{TMb+Q~W8^6eoc<4`uuzu5y
zkNrpszXT&Wg=2+j=&%FdLGeH~<YEig-WQiH`(3xT`l}C{ui`({e)(Uj+)3{@HkeG_
zd_lj7aDI41&b=kCMJ7P`;|k;XQb;<{MQ99-SG`k#KIL<Tra+j1obPjD-G$9HS~gYd
zOxphAZ8IGuEW6VV=Fn8=sRv4_tMxOcMU-KG*W}amP|31pD56i?E<9L`w-^Ct_^}Bo
z&5-2u<CDtidOOkbWG3?M^{IiZb{<<5Zrl3A58D821CPh-MLqi6#iyJtTULAB<zLtH
zZa8;YZr`kSj`n^DI2h>Lx#sZ{Ar;OnTr9N(Wx=J1KH>+jkP<vzWth?!Q*<}WkDbSE
zQ`_HFQ8Qy|dcpTmbB&SIby^c|9IL7*So1LnuCo<E*=IGdxz%}Ib}xsGtMoTnXGkK~
z?)LgnH3o;_QpvB8+h4kca)woiC~NRe5R-)Y(_)k<rL?rad&RCGcSISazG9hVQm#{t
zR;9K{)UYm743;>5wzxy>9M(-3XMgo4hh?QGF8cmWURmN#BpWqv<sjSDpNMq~_55H3
zwK_6YrW>O|xz4P8*$cb1m$<`~oYEgwGTGJS6goT@Hv(|qPWh-VrgazYEVq!GbAAyz
zXaX9UWgz`Qf_~N4XN*4p^@ar1w(V=@#ELAVl%_YK2D^>uhK0u$3dQ!;eI%l#zg#g7
zOH3?hltSMx)U<BN`_#6*IAqRuFMKwbv}@Kl;}-MhmGRBZ?AXc?X{#I5P!cEPz|v>I
z8yk_7_^!Ytoagi|Uo%5GgXUMGl_hIWEZmv<V)1PDVc{8gQ*$#GI-Zs~^AQZIq=Gn=
zE4${mLMIkvEZcoP1Ess9g}OME-oXgNrarZl>6(GYhqjl2Imz_P0bLbw&@1^{(E63k
zd3hz^zj$585eV5F8=VaXwA1A~+CJf8KM0SpV%!Mf8;>C=4duSJOitBX^BWL0<8^kB
z<sYs}p`Ir+Dk|k86__@J`j%$PN0qn*X#arE`lpC->18KHL{-%-<bhb5dclopl_RvK
z6{VU|c-rZ}s+s~lk_-PfSbV`{IEE4rRjsYNPuSbQHtXxNU9NkJU7|ny+Sb&?F7mES
z=nWKe>z6Y4tn6>V589FnD*TYC@p$ndJ;4hNE?-u(8?i_1qG{!2P0PxPCX-A8)|lWx
zqm=Kw`P+n(6W8bewDqF^vvN7x!%YKvCMLC%Hc7EqK}FfwxD(+=A#}g8<n8cYcX2Tc
zK<)ejRnP96-LT-dsb;u{|MuPWa8HY;-J1upY-=b-lOKl2`%#|<$X2)IAoxijawRG(
z^_{sgUB>)k&u?0yZHyfUG({SN%ZsPs=8r6keq7hv%f1-LG!rq7l~biK^T@Vtlzhgm
z)bL=<b%I}@ZH}s8QWbay75_#d)j}szn_Mi6kbaUf*ET_Xuk&7Ra$ZyfV>DNx;N@`z
z1?MV)K;kv;Q#fbzlFy=9bBAE^q4<{Xb-_S>{0^wvpG}0sr8c`Ha5ff<FwC7q2;$9s
zl)6&{Bs-^MeyK-zDgDfWMZk>xaSmo8KkQU{#vJDahgr`gQ(dyos&YjDU6hCnl~HyU
zvTa`%J6wA=e(mq!N?lfPv2g%l3nO|RXZtHlE{zP9YGfP}o}Dai&Oo5e)e5NjSXw9P
z&4Mz-ps9q|{TWCgx6t8`H&t<tzyO+B>9*vS#gx3h3(D2YwEr5YwG%JfZBnyU_aUY&
zQ1vU-l_yoOT2dO#<}@c4YGVw)vc8C1JfjN&{NVlB9j<t_#x;3JvJu;%4)LN9reSRp
z+h3+`s$TLYwPH|<t`V~?OWE?E(>{47ijY=4oDIwF_eauO%S@-w5t*%{bMJj5Obwdo
zP>wn#`r*Zh?X6`O*`uf_qzd?-kWvAoxK}M*Tq>4J=^^z#I~kgx)$Nh`^BjlyAr?nJ
zW|h9Ce<^4ifXU}y;Sb1nX-N$Tr9u41q@1)_C9|47{@9v|+wtuKyC}xNG4yL)-$c;2
zu@XHqa1(eMQ3+4`;dE$v{Qa<)r9YD&;`_9$bNR=>Ul(fqCQj5W>j0nABa19=qI$OF
z%LT(YjO^<_)YS<|-TKx)wwr}+Tk4UcOx;s-0kuQPb=Jq9m6_A!x*CAa0o?5_HGu#Y
z@TQ#GXVaUsK*K}lvs#dCwGkElropxg0%>S9R@>o<br>`8AnI(itVIi7#j1Ed=?;r}
ztZNS!9~rz|_#@SU<MTUt6kPjU?;0U|+}Iv^-TK}Wzba2#Dd+wA^~==4;)j_TrGcSg
z+j=&B-~X>du{blB&>bcmi}tza#koub`{D#S9{FfYnYAPF{?Jz3WNm9RS}Y{ftkE5J
z*U-xsdS``hW8!P?;zMFHE$g_NGKKj_)1<q6O@|z-yjgOaX>A#LDhoH@0{BbbR;==&
z-p!);3yRREylk@Svz}!RcLhGE+ybRR_X1RUH&-&5$wx!gj?YvQaCbv&{HRrVdzTb(
z7iJ|)yHg7VF}mWxzkxQe9~DWXHom+6IW_-^<j3Am?%qGT4RM8f1sPaW{Jt-v99ciW
zDgT)MB}>So&1lR9oo}>?46bsO3fDB0Ddgjp?mj=?e}m*@%ya@#|1F?zb7q{7+2}-e
zduR`z8uqf=+8`5nR&Dvs?fuSV!l(1f#!s(Dn%QECj5k6H!|j1%P?-uP34O58?zph7
z_*^NW>yjJjhm%g-pdJ^-W>X6XdFIGvmugMsY+1WW<iidwqt{!fXg6+Js&k=6f2$|O
zlUVxjpjBDFW*3wxM>a)=?=JBXCVMD<)g4|vpEh-p%ZKw?w8b&q|6=x?1HG~Bg`E;;
zCh*rT=yhKES+&oQd0p$xo#^0hVWwM8#E<lnCJQ8KBX?znNb8sPxa#D4Zo5+1P=#f_
zeL^fl-fm>Cn|3IcTR6WBo+RArm|f_W{oDh+`xtsKasY0j`K>eay|xgK7ZK<jE}lI?
z!NGY<_ksD;4dhQU8V*KOs?KHSr1x2$cZa*2iT-GT1fK}|e&AOEbf<v>xn3xkWkaX%
zZ#CSW7@eK>@RlBq=#@IDm+{A7misbFZ*ROy=F*q=nSlaL8PD0TB|uIXP){$=U9I1I
z*1M+Wssr}^lx&aSIsX*A!14O`pJYd;!~M&*Z~wZx7;q2(v@-tx)*Wu)ZucGMJbGMU
zj%+}Jd7d~AK_n?FLgdJN;^9&5XTla%m_qq1u{Efd*RI}a@wt5IHfOuTij6t$uWVxe
zQih|46{#V1+24<@juWKl+~f6&##8b(akdT=v77*zL$X_>Pq`$13B|sMZN7Jk)j8h2
zYqA)SJ$~J?HB%lJU+3fm-7l=-&u(6J&L>h+0wD5*>^BaE`}QVQQ@LGC?$>W7JSK8%
z=!6q3AvMj&CAS0jzc!|N_!ej>oE)aijO|;)seH_G!eJ23N2r{+aDKv)q}_2FXA9q}
zC2@YQgSu9<ybxe=_Q7m>mx7N}FOE{D{YiF|pBa^#AS{e!f_XYt$OwC%Z8uh83*oR3
zXKdaOzchd~T<+*bqK+LX{U<Jt-FP>$L&yNqWco4HFSS4~x`^*XN5ZVyXt{jt5)9+J
z`z-lAx?bIIjT<sLeB@^_RQG#82cxKyiwqGC$*D`{e`L?8A^f7Z{gSbHGLj2hA$CUF
zsO}LYBsxLCR*Bad-Kk+fsssOXVPzEiJkNqpc=G(+ZW!b%Y0aCBz!k9_pf$F_hDrBJ
zDgtvV9~hc*9cq?!bqVKgL@p+%P0qupCo*o+Z`^5w5t1M3$PNnRe(r2N-5<_Bs`1-?
zV#B=+yp7PX>`y{4nQZs;F%Ps76NL#ns50b53^kB}g(p<Nn2xST+E5h<V7`*Y(d}-L
zjS@nz8Fo2b=op0Wi;~_O2GU^%gRv-M63_Ic{AOqL(J#SVB8w~EUGE^cI8n8XHDH#!
zwzr!LfjSZ8aM+hpqrocIZfiWxz~=yr2Eo0(g8#BbfZM<qa_KZjQK@r+NNB(Dp!N%I
z-=k~H0OtkL{dgI<*44jR$bsB1TTO}Y4j+7=YR$9eT3g-`nWEk*e}1TTeuyy5(~;~;
zy+tJr(+We`sPs@MZq$i1R`{L4$Uf#t9{&!HhlRClupc>_-hu=lIxv2|enj2^d#Mg`
zfj|)22Up*~*+QK7Jshdju)41lRASdV5s@qk#HofY%s?=GA1w*UKM5gt=58O>&fKq}
z7sAj0ix~X%M>Ec)b8e49o=wLc7Qp!i0A0`jWXd5?Q6m4cU(dar#BcCz+U>&Km#Q!A
z|A-Kj6L%HxPoR=5bYY@rKAM`6d3Ak#xyw-y@!@SV3{zt-Lzee;*!czmkqgUV*%nRe
z`^FV_Ar2%A@Ng#ylcaK=yVO{BeJ4Szi=;);u@H7VcO&&ewniTmVt9a5fN7`*#JIO=
zr!TuWN~Ks3FPS|Hj3A_DL@#LA_@1!Wt`kAdtAa<qaA#Y@<E%@L2n3q!#y5YbFj8q}
z8PaQ1r%!T<x`941mFgv1UZUp~A~{M9vG<oj6C6(uwH)a)^(y5S*WaRQt9|)4T42HC
zq3DsCIK8IA9{MgF7cI93!{S{SGpK&jD<nV_h$wJ|>(#u)6nV4D_N{vFZI*#RGGJtb
zNSe?M!NT6s*Wc`Rrq-}=A%4)_ZnWW#RNdyf_n5A&^(w^aI62X@2^U(UXHt(~-MDop
zzQ@9DwluwLJ`yPx@BD7$^(vfNmo`|=Oh8QM7d5UB&+Gf7rorb$gPQYb7S|{|sH$nw
zsZxH}dL90O-e)tix$=2((S3GJxoSq-Qa%314i@n9X9Um~mBro&pZf3V8IHgf%xsQ6
z-$_xcK4cJI6p^1@EQbA*s_>_h_<=E(dq-y!iN-8nix=D9VfmNAdz#>Sl+;1z*F)8+
zY12+I&|DC4ppntU$fKHCTMRWO&@S=%5=0>!`KvtVHuk-hs31j!U**N<4vkz#Eqz}0
z8K#Ku_PoQK@4sg>i(mKEl?LY1{l!K!I5g7Sbm^5$0099zIJS%N){?AcP0sCHo?c%T
z#kwrqj22ls&+E^I0KN!M*bEKFpF%0mo0~*WYVYnO?WAZq$Tz-%lt0{}z*??^t5eUW
zL=UGA=J`O|rS%SQ8^(7=IugjbLOofh9?dgD=#c!@z3cp@SN7|H(h^}Fz1i>uI5~?B
z(ghx}qz67e#O!m>*3y8eVnn~$NYGe@3nCp;TGRZpzfBr!4n^wMPEt;fOaM@HbU;;#
z2gH-=F~u(B)+cm*Ctyb&RH$X4qSq~T>KgI*Q7RRXJXz;_HW;w5kdG%a4in_V%sP?5
zLb~IML<0q{wW<try6GSD3)R#~mYPDVRMwdjTN12=;BRGy1&6uQ5<)+LQl`G;u<@|-
z&z2Y8Fe-HY31RY(Bfd)W)%miXlXKJJPwjdgabeqvX4T3mUsPLqSt&5$i5Lx*!1?4#
z@K3QzMf`zJ`h30P#n~lCzyOHGH0b|KX%NNZ_wx12;QOq<XUT6qt(rZIiIZ9C-J6FE
zF><k)`+V5O$e>=mCkxy?yj&7p`ft2>F#(OORpP(ZCa!)aY-5s6`-T=I4EKzqicl>}
zb!sT^550inB5HmSA3%A)F9G|>Gtr4pL_^wo=S{EBfp;4*xayN&+UTi!4ZEt_U3oN&
zGLrKsuq{^eJF)lqFL_)-@iWZ+tjpmi`6);fh4Tto1Md)UQncc8k|*-86E5~#X8pVY
z9dW|EH_Xbfzb`)vJba;@5SWLQ5G+@op)POh9SO2EubPi1%3Y64WUl=xkUbu;Q@?~!
z&2f0#gUUi{Nt+rmRrM`T5nqAqSo<*L1#L-f>4$yHmfpG#^-<WF$2PI*ex9+E%Wlf5
zyvbKPwU9zJ8eJ-rNzp=K<d07Gh-3UH^|*tv&?g@$A;R#qVEE4zL`LG7n4HNUzTRR#
zU4>de6h9J@p543SjV*DoTm{MjrwDXm-6Saefhn*|T2Nk8h{3$RMHCSJJt_ayw%s%R
zvMa&)sqlVi8qMYQGM~U#_jg`<YDYRbIOyEk8_E<(&%og~WsVe<^y(7hgXKj4FH%yI
zp%0$J&t_KLD*Iy0Q=LL3_dc}=v}ATC<2n19P}3U>=CxVKj%9(3)$v-rC2IWqGFSgk
zx?yv^nA9rY$>X&jHUQfDgm2hs8_<~wh>M3lCMP91&rS?XyUL+vh4l~ke6hRItyY>N
zT<Yu;<4g)hatU6WVlZayv1Nl~3jEah@KEJ(;1g1B=w|8zUpZ`2Ppm%;W%)R1mp`<>
zxaPY<l-HvXK*0K=LS^yL{Y(6cT_K0qt4~WJ4P_gtyJ$216O*$0^gUvMyk%SeVu>0W
zrJ(}K4fTr7*J1g?;qpuZ_-XyF{FslWTU)Gtj>-tnMlM&$>&q5KyTI962vA->$!g4G
zKc9cQ85uuw&?h4sI{lSdYE!ayW$}f@6107y$4$_4WqI6e3rkeuJu)Xo%YIMcE`Rdr
z5Y7BX)fA&Y4=&>8wIG_#IeRXjW`6X+(`GS&3}y4$2~VCBSN-o_8$R}=RBLE3>O69#
z^6V(?i1i~#A{v@7<uasxEaubMs|8s7kwBit4&NKa9ebX6i6PRxcXO7JbVh}%O)aQ-
z=$V#tt$w*!3s9%GOAe7%W8U>KaGRvW+8Uy}k{oApH@J<K(o3{3>Wrr%yK~SMOi=4=
z;tUrg#ne8d&bew+7^Jx&oW3O(Lo5v3PwOV^-o1K!3rl`PyomP974xq@ZKnQ+&aFOd
zo!v#7i&6&+(F%Nh5Ttb+vY7GR#u|10IBk)Uy1!%9{S+E=OTMZayC65diHQfOeS=mv
zZmVR#GF<098Q|g{zT<Z}CET^)hCjl<+17|)pl$2wTT2!DS^FN+{MJWfz}zWe5dLYh
z4v9z}{Ufys-ZQ|w8;F}=G#R@alD)lcw*w2|<gg}ZsYoYve0n+Mj~bTR(r=Z3k4i^u
zNv9U<dPk9j`uMt#QF+?|{L?24ID`1E|Bx=Oijc=|0f~EWLkE@P$J?90tNCV1&)<4<
z&;E~5t;P+?yS6+P42??GxJjAaM^I38HA8-W{%Uph%5)ch;ESd_ie6+y=M4dkKA)B-
zbIAHJmedB;xN{?+1O++c=<6T;f$KCLEDy#FA;*&7Fm=ShIOO{Y9&?awLCoiqJvPn$
zR-0K0n5#q<5oSd5AD^<=G~hUYg12?4Qi)mCy>UEI@^R}?gR+b8rz3QY(BI~VGeWgg
zw2mnkB4J3~E5=3+2g>2D(H+A8Tcy3(9cFV?A97u<#GG;EuWQOAZip{@=R&+1R{8d0
zv_>0AER`%WCd?JWUcBmUr<S}Kb7E(_pIMB}U|}6!8)y7zeIOKn{0%RjC<rhDl{%Mu
zWq&=@H0LWJX|O)cY`n^`H3~*o^R;Wh=av1HiN-H38a1ko9Wp^Mmv(+MEmeqTwI^Bc
zk<#D9wAepr<V;L9ry>rahA*K`*u4=qOus;ZIJy|s@bWeDS|muqbmWWoY34_wIL5<m
zVer7UCif6HD2=7)ozrZ6sE;ycXvA^E?y$ndAZK=En7(1u*8PFYquPafQE*bFCU8A|
zKWg&RnwGfbjnl&S8iMo*3iXzL-T6522hRbueGHtsEBPAho@!m-)2G3Lo2D$R!IR=}
zpZvyic&|LAN85WeTckVhl?#Mw4n-4*y1R1$Ves#$iNk<jyJy;UTJKvga6-+sL=(gO
zi?RR|uCT7|?%O-j{GCT{tvVQ(n94OOXU>hs6~)Ehz4^Sb7EM_IIqLjh2V3B^O2DFK
zeyi~>2t|M5H>X;gGwnGbX<S*$z}w0fJQ0+VlIp+$li?_t#`PfY&CP+Gla>CGmDbEq
zO0oXEbcTRbygRQ$-L%FF5(BC%<J;cTjS`cD?L3);tfKswDRvhq7abZxF@y;jGA}w`
zfAStHZZa$0JI(~qRSJHoaBni2mO|1d*~`cxlDD61GD=vwaLY%zRf_dl`Gp{IG*JK5
zI73UY#S3@nwKMH0eo_Njx0U|`dol`tHq*48e-?+eEM}J4unyfqUS;@DrGh$Cx|b)k
zkea2IadcS#m%iRBG>)2cSg_hnCuis2K4&0a6{XF)ZTI&ctb0wwceaI29mfj?#gON@
z;A)ROge^#r*;Bsz89}cn7BgSr0dW&`8-LwUtbvOK;gbp1e2jvIdf3f?)Gzh=j7(l9
zpIng)7E4dCC#VTCVRbR@34_VsN{OYavtDd}aiqEWgNuhN(~N3fRYsP~t?01jox`_x
z%2)NPzuFjb<{=kw!g#cyLuMJ-Kk}uCVPGGLINIkVdI=up6g+$xl6c{|`4R=6i(>T>
zZaS8+h?kvn@b(?51N!W3xs7w?pj@q~#g`9%7k~K)`nkq}DM|BErmEsMUI!drxv(p3
z3a114{zOLjB;QLpaNlaeGaIt6F<CgLa++<F4iK62E<aPjzm_#2e)-N6^;<?z-yPEO
z-pUsK*4O7kE`Xo#6Z-`|DGt?GaepU~f*spA4MJ)GLo&`6#Xs4I)1<cF;RB>YTJ^!A
z>EBX)>wlz*MQ^}Z*m3Hxrfu%;`At#qJ`b_{aK)}_MOHvgv6ql@d}IoX(h(3gptCGU
zjA=8=wkC||wv(TFFjuaKELaTzckxj#sGNU6?#(lN%d7hLV7jiNqUW@=ar5x-pkQOW
zw6!Tv$Hm9n9AAw)Ln4tY?%#@6j?q(Pr{e8nN&R7%x`1QRAn$xUk6}mZ`tw>-FTe$H
zZw^IE72{rt6WZ0km41fJcsts*iCP-0-KSEV*Jn0w<xs9s;O#4~5w^Nb_mlcEypY&P
z3s~ztl*qXrWm|7UYv&{N{1Lh?G0@U*#xYw#o3g&b_>*W<(=f#(X(mR`b>J~18oK9z
zDJ2)9CWR#%A_^<>W{*n-3khSohZK#K8Pi4~pQ061w_<N=?SYi(Nez=%<eH}qqp2)O
zyJ3a<_0bki0||2`rSZY|MWm%@D_%94bk7KOmk#c51?v0G=ZKMVG>ic<Vn#Z!jH3Ep
zU(Spg&d~Cr#%HB~NbA5}ICdo+u|Tpm6f$9r6#LH$endB%G-lE&^(2W95(U;{xk{~5
zDQyWc1^IvUS2{%GL8k<XIyA{y#)bvQVrN5*BxSi7_;oN%ys}tk>V$Q3e0(fQ<qkI_
zCsb;aGy(<vq7D(Nztv=@08!&5fpl+71XFDk6~TL@_UrI7m$pD>QAfLa8x#JM%>6>F
zQzLowUS7MJfd1q)ZNKv>`X77xcU`upX12xIq7WT)H5QVRt`lv2n&@n15_HfKS&e8X
zclYZphOyEjfZq(3pJaZs#_jo3`{trL-5R{tuS?XfwjIR})V8f2Hj~%p5?M6J(tIRg
zLS`SQd`+J5Kq)q^QJ5w8bu})6_S0@Ig4=+EhK5GS&W>?)b@h0?B{oM{)g^(42?>-v
zZH;+iY>z7#9FRBe|9NvIYWhco(=tPn`sL_vH7&lF;J%B~flHggw;jHK`kU_Xu7@6x
z7lxYinuQmAnx^dz^<j!gNrAyh=$satSAIU#A?)Wq-c|TDza=BRnmVF7$+o)76Zqh(
zaqi_1!n?_%FJ8WQ4;|}pL7m_^j)wgEba42!NQIk!sMAqicE|#Rp}~H!pi;3?-MV_A
zY}fk5zAf8S8>u3b4fgcdo!E&6sChi?C4+&0=nbdS;VmJ(CcRq^mue1Jt{gknt<0uW
zCEgDyIs|oNR@N?Z*T)jnrP@}I7$AN!($EEcA1;|QU#Ws#Kl_wzUzWL2G2cz>cvup+
z{FV59mtXc2uPz__S=x+B#!m*~4pw-jEfv$v&S7mMfRls6njbhifViWPGHZ6cNHIyt
zKH#zu^!Vud$B60Q8osI61rhnP<Iy3WSV9U_R4B{pUZQK;8$Afb8RAaUH1oh;q`Mkx
zwHsV?#RW2qMNRT!ax@+4NBoAUzkR>4oswcCfsK}TN}F?GV2_)(*q*?0)IR&m9^E^3
z<h3&hf~eaK)M+iUgm9ZNB~G8X{O6<er;vTa$wYjJfB{ro^?*2a>gjEWZYd0uE$(O>
z)K&$U9mp3%7Rp23lxN{aoe@eCCN0E&7G@~WHLH0%(7I}$w&?*?JIpg%0q!gGmAn+C
zfDG@-u`y59*nEk`67e`K-)}+y**(f=&f-WUw_oC~gkb&AvRYCC+Kv8wo<}JxfTV;I
z>$P<RZZlh1+ZNi5@ai~NVLi|Yp3vxRzUc=I#IFs7P{6%^-jm+rZ)DyY!sJJ5Q(Kwl
z%<zl6E7^tSC=O*=1oyvj`{WCoK?z-;G4YD6NHsj9j92_dM<im{X=h)q#@;|1IN}h`
ztRYwQ)!jDb!L6n}FGT&+%1J1e8+?FWF~0a<7UEiwV2u|E#4vaBTkYGMP&HX}APG;r
z*qrI8+%?edMs#x%P9Wffhr4#*gc~t9PB9nmH2lkP@~=CS{=~&{Mn6}&kmG{FkT>+Z
zguz?2@}-!7(?1-J%zG=>F~h(qTs2!HJESPf>r~e^PoY;<9#E3d!Bfds>2&&rJYiU`
zH?(+)FLwgg*(^8o{sDn2S|{hmhH76yJxBWk^mSo*-(7#)FrldTW*_S3K5#E(G_6M0
zuQM61<U*xNlmJZlIf_LxDLigWP{@Q@C!GX~L2;xnUzQ+T8!r7k;_)90b#x2{u3b`D
z?Z^#zC3focC|PsYP<#+PIS{aAR;v}aUWrs=+(@uZ;(cdsnRbV;zn>QhbTdEv$mwv4
zZz~y#xCS4~wL4jDjOqX$WV}y!r$VlE%1JJG<$h>Pp(C_?+t9?&1J1NMo&8!8Bs`(V
zc0u34eXp5BKAb*#!U`u}+Zhv~&pW!;LXSC<y^lnH0!3U!qOVBd^_%t^!A~neaZgtq
znTYI(l?<!8L<$d9!GHcRoC6}sza>0$V2?T<f_SGTEzoh5oqdGL)vznRHEixlhzxY_
zr5rA}AZ?H(1@2JCw*E>8)965RnY8i0@4E)=ZrM^QUY&`Pd{j)+h8(-|gzQoN_VD&o
zJJ=qW^IS*Es`v2Q?!PWg$ZURHzo<^e-CXQJHY^&AH7C}fY6_vH8g%A}Jkt?w27O0W
zh7%Sw5hyIEu1RqDGGCmGEk7!(ngTb)8f;oU0s^inxP)+Fp_NXsg|;?9XwF${eqt3%
zBC_u`_%ckT(rdpO`DcRGewvxYNbU*wJD-kw?s?8RX704)ch5m_3tlD4Wzm^YTI#^N
z6e8)&*fglQw8ja7>DWGYuAew)m20Lk%F#sM{amIV6pfS3l-X{3-Wu2f`KFFj!Vibl
zuN$}t5i63>^NW6&TR-c~EScxrW#?|BEU|z-QcKqjr*IIf2|P6Y**Pel5t{q?T;OeG
zuMbOXSj63BTT=Xvi#+AbV=NM5)LOzl>e++o+^9G+b5U9tLy&F=D6o(w2-7JW3HYl>
z<p4r-CE0DhW580`oGR1QV_!kxEaCNgVX0`FX8nFtA$sUS^c@AFKftQHz#mfWL7!v>
zn_h4;B316t|CmpV7xnI1PpE?jr?387Y`jwF_~^{ltV7KqUk>HD`c&sRxE3^%H)n(&
zFLw65lHsQ2+p+K&aED&?W?2elU}eRG3;ZOV#!}+(6O@{oTCGuG3NYVm+#A29D5>P>
zVyb^s=}|jIjzu()E`mVo(mAf>GtnpLe+POktM%UUR^(%izdy+HxjrJ&|Jk$r+(H-b
zS^YbuJ{s~BF-FLPa!r)_ZIQ@;`jrEGEn0?F9QXLR;zyB()8R%Af$T;y++7m=<-)1V
z_U@Gv-00z3U*Nex`UAJ3-d5tUCFF;POaibX#(&bl<jnQ(v^QfZbH%Zh){QhgnfNm7
zfP&T0Uuk8z$Wb$XQ1Uf|BcZR>Bid5JJK_XAWpn3`u|~<aXU5Scy#w`p+7ER5NH}!9
z6aP(HP7ruwQ3KY4lO06m`;8p-?t%8Fm;jJAr|0MCpAu+ymZIWOJu?t+pv@_wo<mV@
zZziHzjFGTZ<=hqpZB}>?__=|KbWUh_a>dGU=@GxLIu0zEQOT=oDl9jaV>a>WjHllM
z{Ma)N?{%@-H_RKBXuV!Uv)9r&gVsV^=_Otd{TGZHYYCeX#KV)`^4W%`TLQ=1uQe0&
zspUS9n7cO1!_kc!_#-rfthkOD^g)WdX+*WDPD^viB%lF&^#D?{`ZVo8N20pVSgQE6
zu$K3#3UgnHM3sudjg2_J;hIXx+87<*%Mv|ll*d1BzNb#o+@${U=x?Ph_{t_>7ZQl}
z73`>vYM8yQ|I6hFje%1mTx|@exro1077S3?1tf4CuTTFv1Y|%$LUSFYqO5AtY_HF!
z0{Oq0v%Pd>dG0r`Vn%HuS!Y}0p`=N*VqAM7+UwKHtY@8nqPqk1g43y+6$PI??l6&+
zuT;+Wr80Ds)#;*h5ds1NM8ID`0wHGsSBT%h4^6yu`gl{&C&rx_jHSJLb$bx|kM$Vp
zoelR|p`oo`s5#*G7aS^w0>V~5dn^zc|5UIu-f{<c3=@Z;z7ENoR(v~KTNaA{P#_S{
zl%urHnCvjFmO2CPhKAZFRQ=mjqz4lD+#3OODc+Sea0dB{3wX2f4c*S=IS-3jUZ0_^
zQ-E@w-#n71XOI$5?Xv_6Qp*y>I0|3G>9}>klUErv@gh%>RS5zEHA?m-K^_9RRkNrG
z9zDxB94^kd#NeI7o!DXiQc72H*doyxGcoi@N)fX&;h{8CWGzQXSSX~nbg}Zs8Dx%@
ztyds>P`xSrX2nJ-Ora#vwHf?0R`}k84$baj&;@1ib~kh?o)Ya(bZ2YNFAE(F_<jRn
zl~o9SEvlMJXWdoU!(Ec(Rh=B@ENtDe7UvR;^i1*Ux{1FmrD*nqtf(T4QeB9;i(Aog
zZ_gIeWD<y3q&O6p6R<EOKJTH9IqvEpIFoX%<nh85(_t}|(y|AeHg<O#fV!!_oui(R
zkiD0ho#94OBZ}Tj&B@f9-j<x;X3{LAl6@*ghZ14tUyi;;^|lM4IL76D0547}W9rMt
z9>s%fTd?I7K8oFEMv!Cd`O~~PYp|AV20n0ImV*xlVtk=Mb@kxoPG-*L0Hu(*ku~WU
zbOz&onTxJhpgQ32+el77bn_~~+}pct38w9bv-(Qx?$rlwz}ftn`vdL9wnm1srI4>D
zVqqg**1OG$$JBE!(^9HY9XG=w(Sg6Wbt;>-_nCy58Qsmz?ec0XVXk5Gz$M=HF`DO5
zw0SGkIAd#H-euF`hYF>4<U3KObzRx|!SDteyrPPH!}B%)`b0+?Y$F`Ar+d(kEqT`G
zv42!b=S6bJ$GvGoBWn&%3yL~7eV=tn+HZ9fh<ux_h~|q)a3*4VDP_2|809dhX<dEc
zXw19L!rWbj*Y`O>HAE9f_eOfb3v+E3QY54(s8A?F!LzkC>^7H+N(EINov5aD_p${x
zKjQ4>W*mHW>i}YyL!dIE;>BJ``1JnMsoDVFy$7WE<%<t`sZi!H9TgPFbz>I!kl5^S
zNw~87gS|gj`)BO^kw|`!+mDqoc%}k^<S_df_eunnI*?TgvPKsN#*t6B=YD?c-pF&s
zqLeUZh;}uuL<W3<bh_aAQPhuG!2~kw9Fj5wrWOP*okO?}XFiY{;&)rEcq#c0i@&!c
z0!mn^*$WnOj*Q4d8_S^z!H{|mYRIK}x~{9Nhvvaso13N}QwH=cpeqN+=<}nBbMWu+
zg@nhNTUJ4VFlE7OzaF7xuM0=Sa|=AbyevxH{g@B|;|PC@`~EuRg9#!Ym%_T46#WDy
zN|PK8Z2|W_W&)R`|M_amxsc7vsGG2#$T0rrt*dS`bp#I1_qlCv@ab%}>X)U#Z_tFu
z4I+Q75y!4dD7chA<@F%3y8slj87fOLB-c7NQh_9@493hUi;xQvzt#jKhW(O<qo_eF
z_PSW7<|^TAXrLl>a()=x1B1Yu5q>_wq^P<%-bkfd3^hg0l!xGA9U=*lIc%~DSO`57
zN^gSW5M6N2HiV*LtFX&JrK`#E`0>bGggm;qTHTW^2B@1=GiuvX#3?l_Qf$q!Cg=)0
z&1I3aJ4-NlkJIZ20{3@$dQ%Y?A<|w2bCZ7N*SX)>#O~))lp=vG7-F>~kEn>HSNe12
ziZ->K=o4rSr$iGJE&i1G?(@Z=Tu$$JEbuv}2xiMtnA8c1SrYBy8K+7_$!Zj0JrAL~
z@v2(A82Jie&6;&AHLpA3jjmpe-{kZ9xa48#_uACf|D^hd{#r^9`vsSqUIQaQD4`%C
z!R&4H#K`qH2B|>r0f8p`@uw;p9F$4Wf_Q<v5_xE*zm&ob4~lu*4iE9XA$$~S5@L42
zQ)~;2^iiapkG%fI-#1W0)9jgz9C)E=o8+lQZNKCohbC-@H5GJdqDs~V7%5kX7sTJ3
ze1^}|&whJL<hH3AF>vwEgnynbXWD@pENv#8)+6r)_PIc``uEolpz1GMp=1j9RcNgI
z*|T?bb<G9{<dD!%0YDODzLuOv<=D~oV=>)p;|AU-03!ZX4Oi+mqcp<1DaNrL1XqBt
zlbKJn)H?OG6*o<Yy^kY{qh=!Y>w}uxxWq;r2|gNq+7>Sj+;R8w9?G11+4Mur!r==}
z0fze<{qz0yI#u4F^WdY<_Z(kut+zb%2G?hP5J*wezEXGL#RJrhOX}6986UI~)~;Np
z&*4t+T$A_fJmInV_0Y|T{u%eo$7hG_zEVGL<@j69oZ0dE6<*Bc;m{N!0Vw**oAsd`
z=Q}Rmm=F#+x_?Rv&eex~3&HyO`cgyL`$jGvvl472jHyi7NOiWP7zA<KZ(nFaJ?g_w
zn<lI}vUWz-j^?V_gG)=YH{WmKegu=p{jaID6`7Csu2@jAmqEP5AWkgeNvSVO`KY45
zJC%04D1EP8aJ>d<(+%hG%X5@(ym~N%_xUaUei~6S9YPRx<J9EjU&?W3*jt5ru6$G^
zfYtn@!Bn<?wYAH<u*|AXGs)NgN}SboA>00NPU+ZA4_XV(2kGIG{`QM_6CG~F`I|2M
zDkt%Y=HVef<+CVNia~v^h)St2Ni9PGmHg#sRm?Idp446;RUR?@m$q(*DkCVHB3k7m
z&X?}evUhM~S2S^5)9e*KFXb+=BL97uh3$`$M8f%MXxMW6=5|gHl?uEu+RHB&`B>rQ
z^<Y@Kc5Mm?sh>8%rl#DXxxc~Y&#>_SJ~LA5P;I6zX3lt7{rUNBGlOu`af@-l`o)*`
zr$UW%Z0akDQ_k4Tl@iLzG`VkzKZv#NoU64!00m;n>bstWdtnlx-rTJZwBjzF52SiP
zR}jNTFGv}7mkI0~j#R_Z_*2;eVShq7zkncPORRcN-tE_Jw+AM5&-eB6$+LE`ZhL`=
z0I^VeFs4XMdt_#k)j!vKNg`MlCXD#;7xgUa=UmG&G#22?ZBAdmNR{8*e<7<kpsm|>
z_*T1flfB}U*CQ3+GjzQ-x^?V+V<5<eg;A&sGNa*1Tw8^G45q~A|NE!7FChKZ8WPF$
zS2vjKmcoAIFoh3m`*Sd<f3NgCH&!_tP84C4#}GckBGS12FrCnAshVTjTG_&zf-^bk
z`AIy5EPY^l6_k9uM(z!Z224JUC-nK6N3Nv>)&FViEu*sf!f(+{hjfdibR!J{3L;2{
zbazX4Hv$sUNJ)cqNjC_Rf~2%acQ>5%{?7l5bMKcs?)!l;6yNP$d$0B6eC9;QqVFuS
zmrZTHUY#sLS$#Z1{O8w!G<~PyBRGJ-EovFDmj0ybdX3WXMd~jX30fgxa?G^chnv<Q
z?zwkYD;lX2r^iMt{GU9835K#nqu`dWyJ`z4PfWOvy0~{=tVUVhovdr+>wW7T8lo{e
zbL{(p%|UhU@`8EL{WalM>~CvKA<6d?gSkE|qCQN-QrNWOyLo}fp*zaaqWd+Z?raB9
z8^I*EMr^E-$6q>>JRk5(xt=av>qTfiqDj6+)zQ`0IwQ74#$TA{6`QW?$FZsXdR^sk
z=J%QHxk5)3X<>#+s`>|s)o;-rD4n}S{WIRe0(KN2ZDy>;609J{74bP*5=<VyPcLU}
zX^axxww4#L<07!DK)toa{fC!=YStTlYE?$)B-qM;`KEib<Lml8Z+J>+V@Bxgj9bp{
z;n6J~A)K_LlWLn)v|^Dd%a<`*yYX!;xTL@FM+z^E2#N6wd9{`6j!}cMJ18$?@Y&h5
zLOHUUA%1tH8&*=xH|9(+t>2NB$l-Ch^39?*A78Q}b7PInqt39G<D7K2k?c4@9qeUU
z?P$=2j}sBMz7_gop|zz*l0drko6-kAk_%gwvX{S~h4nBTcjdi2{`uYQ2-7@a`qtSw
zF59H9O%_EgC(&dx{tY8b)ue|{0GqMXD}7{F3C5tTbj*Qu2a!|WjaM0;6#0KKq)ogp
zQS!7IzX<+`$|&1As&Uy}ltj!afb(HvIXWS>JY+tA!hv#u{IWi#bVk!*!3U&+zaq}g
zTv)Yg5Ou!Wipj{J16Hdt^<3x3$jGCP$9rt9Gz{m>(GPX)A(gL=p8S1{=f~iR3bBvO
z#_p$i<Qj}xsKhNly6K=mj44W9ZNeYhn{CZ+A3hV)O$+uYy1FV7?TSV)gql7U?qx*b
z4-oI{tMB%m-2SwU_oMe{(QJ4gTRdV+V}h`BASqUFAR^IjTX|_J9(2w2h_kC-y~L8d
zSw9P?t;V$QX30*U;13l-7Z|?Jk5g0`-|@bz5X=*kI*Y*H9W48#U|UKfBfIlB)k6F%
z!5II=(<Y6N#(tJ7`cUVkqiK>Bn*^FrD1#HXd?K^7zUi)?q^BpwaNe3bJ-)$O|JIw*
z=rZ;$=5WI#vBmHBi6a+Am+?=IGJicS6qd9nBI2|bv_F@=azPUtm=tAvKf5BzL$FFb
zB2aaQ&U}L*;gG_b-!i*0$A_4ZeTLk5hn-?~8E#l_@-IDeWfh02e13{>6FWm<z@oB;
zB_HR2IuLc&5B@uM%D7uAR;c=kukG%L<tQFYw3br@@d;l>2&Pl(Lp8SQj%=gmINXQA
z=I580Gy|-sua&Eb2Zx>_3Eh<tU1^EJ4M1^ljk_#??45*A<zfeMBc+E?DhE-SHTvPW
zh~da!|N5c<mGL;n*<l)LXV}9b%HN->DXaAStG!D~qy~8}36LpODTFa+5w8?7J|g95
z7I(a=J?MW}WjXq}q0}ni#?pQ?(Cf(oSDy70BTYP}WCVk8X#>uAfeyoy3iSx#uNoiY
zuuw6E-`32h;@>AkX9w%)vm&3-1N_L(OEmRUM=fXbJnLR><Gz;u>fJGTC*V%Zef*_q
z0pn(?QyHK1tPCdP2$O9rC@9EHd^imJ)YjTs<#+FuA>atV|EIpE(Q(aAN<&b9RJfIb
zBw{agxjWC^RXL818(SV(gYfmW3x-7Zm)|(HZsTj3Gt5=mI%!ep6x0$gnT1`HZoI@Q
zawy%)V@bohZ%(%hKfyPKUB4+P3>ANU`{h0)z3w-{_L;v<!PBNv_q;m~_>Dw@E^~ZC
zKJ==8g6-9Xn+WKFy6GrAX(?R!O~~4@f2?$zCF#qqk=|wAl2UkwvgO)#znC3XPqc_L
z=FTrDM87Y+d{4cvVphNA$ioUNvaqpX;?v8$*3x<k2*AQYU(^JYSOBGZ#rH#+Sm7Wb
zJ!#SthUxSC-%2skm+4i9{a<)*{p~_3EH0a$O+ulCVPBu1znyv<f*2q5rPyisNttK9
zZ4T<UW3CtB;hz2Cl-tilO_Gecq?8Rbte<iUX{JsccCh+`==Zy5CGFwUhgrQ|5|Vm-
zga9-P0{_d(q@Pr?o?HE4F`z@w4z$e7%*;{+9G|OKnnzZGtYoI~5U6BAP=5@0siU_^
z0K6Nc=~*|O`b~tHiD+JC^Y<eA5K<&xY|mZzQ+%??koGQ@UvUQ=v!h%5R;eXXgu`4U
zIYq)Y?94Ygb9iHk-^N_%rVitIa-{*<;JN+HXqxe2o8CL4o!!C2sG;AtA6<jB6FT&(
zqtCZ9_a%HE+z~_LZrQR+;11DgUUimlOOONIUYSwL0?LaCnHob?EVHegGSKBH|IUig
zV}@U1GVhx6B6`F)XW~c5Z^1EH71?`-EO}9Dep2t+&-z{eWNqcVv2)5$!r7JgROIn)
z+ts{29+XS*pO`(lG&cF7`j2gzX-a*zjL*`S*^tpCc(W}pPUI24SUi<WZL@2Oe@4mP
zv~OKZX9G<Uv(}JHVWX!u4du_xM$SZGw{#l0mn+?a3?2HjFCMSe)usf#&t(gERFfH;
z>ja_)MsMTOvz3|S#}I|(CTJ8k9+v2COgK)8*ZHO@QZx6sGX8NTqNMah<VwPOFGTic
z2Wi^w-4PvP=sFb>2W12lwmnK+&Z||cgU^vWAMzR_Q$6yrZ|RA57TR>{Wsb7eYI$kr
zq+iO>A8)q>lY8<U_PxxA4%XnD$rzaybd&xUlv927kap5juN0Z$=Rrmvql1UXFn_!*
zjFT^Q2oWen<RgOLF2n;og@`(HA|usax!niwwT5`FUJfLppV{~lz4?(Cxw;M+-ivCd
zemd;;>vuEzb*WnN?ZN}^8B0B}a*_19DVzO#pO1#l-PVAV<=VIL=3j<y%0A51AOTka
znlNsew_)Mo02xHX6cHsRAW(sv5=Uj}?J7BUfuOeI+kYuJS7K`V*osYP^>$#%3F~P`
ze@@S&TRqu!w$XA?QT6sYO}!m9DJdE%{7Hu%wzDLA1=&E?>Y<kLM)QR5O^CH4=udL3
z$r>sA6kj6lQ2mKONU|Dsaet<Hy+Nq^sq}SsnvBn_Hl8j|{UcfP`5s1-LR2e<I@P)a
zT;v3ck{|ukGz0rEx{kVOH~(<&s%I5s9Ab_!XoPQlf~*-WtB8z%guSkw-gu4Ky{b8w
zwFN|4u7@7s#&3)mG8l8ITII<^t)L^-SM={3Q+}g!ea}!|sg&UQCPkY0HzGERXh>1C
zngZe!1kT4VVbBMD9gjto^h%(MdiF>?p84b$XRy+3e1Ns!D2rD3v$+@t4_DM-6Dr>C
zvM~mOiuVP!YN8fLlGO*{tmy3yew4NOJo}M-LcxKoqInUSHkzrugNYJSg4zR!_~iGD
zn;9}c+A)27WA3QWg>D|+D-ZrT9HA#P3gC#g5@W)TD5mxEqgZlLjGQXF|D4ZR%}$#d
zWL)&bcB*nP*AN8;EAY|o3o;vG<$2%8_@Ro)_Gm)A`v7O{3WEfxM>)BuvaFL@cf8?s
z0}_qH@jQ*dcdu8fOG1c>`?0wdzK*o`9?VYsd_!!O2VbIO<0A&%SV&aM1uSItYU#wf
zy|sGKYQ37vi^DV@3klz0NKG`aI~(X}exLc-p9yZ-2Y>pz4)#}TXopv8@#|#CuMevv
z8CtE+(kgvpI=X#-opt#!dbs0X5PlD%A3-T-VuG+%`@5G=kDm_-xNf{N^{+z6mKQ`P
z9{Y`&zJO_Nh85)M+1T=vi8k$y(?yKqj`tN2hrB{qX#=tm_GPH>JylFfNEgAT&*-#a
z>Zah?sp5~cBdRT8MX`;@OwIc{$5c%9##<YlrQg^+^ZLEb|3nAaULkqErP~OvEtYsp
zSwz}S5@f8Ol~^5$oBMpVT`%ilGOLVA#DZ+=j|=^3K&ggw;-5ON?kYTF2uj`{?}l)H
z!-76tQVR|{+M8PyVjGTy0na!2N?jsPA~+Lu-AT~)`;Fs`dMP3Ben&^e4^^PDX<nD{
zvRONGaQ@i{u^%c_6+|%Gg^*6;Vd!j{^xIn%z^s?%e~NqS$$S-BHX>hrSw?e0r+fqN
z6$?fMKdX%jdWcP-D!11jxF`C3t3TA=5B{|~Ujn7R@w>S27)W$#6zDGWbiwF*&p_dF
zp=!HH^e-@rk~_3o%`oAys{b23%k;H1=QdzbuP}^?+LLid#Iz7iNFj$GZj)AfZ(Y*r
zit1}b_JiMK8DYQJ`U~=~+qY!?DAy0!2ZxN+ikQ@yt>dQDI;MP2ika%D`}bc57f8N&
z^TvoPE$+(~?ag*T9~RnYT+(np0H8oepW6i~`YgDV($s=l@6j4h&i$^iZIPOq4_KMV
z$Yz3&ZE&&3g$Rz1kFR!0D~|xx=2UZbpK+H>WgBvuT$pm6<YG4kA1j%_94QToN@L|`
zeS(MW;=pp-`R4a!BU5yXy)~t81b+8t_Hx}9y+=&MHc2CqUKgK!V}QcOJ#zb1vjLsf
z_E?!)TZ#iMTFsE|hDCRzyG!kz6NVjI{-N?^NG}`|FZW=a$%8SqL$M4&`ZBGGWj2)z
zq^HKTHk$<nrzwQ^=TEoB7>7cf&@K2DVz)}l>CMUaS|oTj9qftzU5&fl_B9t+Fkz@)
z68(g}P4qoQuBoWA+e=qMG1%G65pfx@4i7Z6lUj~xoiyDpPJa=oc;Sg|L7(#LYx8GY
zxhF$E8#rmALb&CF$QV98A1ohuZQ`^+aw=Qf^7+;JQH2~vealDqZyGs0B6Ba^h<yA~
zhME(>EZ$$dc%gk_@31RjoMVBl2oKevQD--shR-s*Lg4i4fD7}XG0n<y*quh(xeYf`
z;zUZ<cMi}h$rPfGa#e}qn@EqAu1MSYQW9Y&YGY=c=>VFs&W*SSym5`plL-|Z-$SB1
zc%)Wp4p{n5dcrB-Avrs#!(U_RH&N@`dF}|sJG-~%2DG#-HYB%*)kZeh)uZ*q*Juyp
zk58b^HR8gLu44vSjLF0<7VY)B8dc7J<oE?mC&*zKaiD*Cs@d$q1Y=qS*i|qo^mOV%
z(DQ^Arou-i=!6JF96SIOqWv31Soa^<=P>%mEb*NCn8Bz^+eq7LW5W2?l5w-4WT4=@
z3IJknU%!STBWJ&r0ihzxiF~wX_rn-acM>a6HC`V~IyyfuUn>Uv3Gh)HH)IosQn}2~
z@9ytkcwgAk(*6RViE!+wbs{$HmD0-g?v<`+9ioDh(vY7D4Yjk9MrH7-pO7bqBItSM
zEtf$r9o^j78NJF@rl1VjS(58fF!~c?Ir&>#114TAC9zExbo7fP+=A(`OoA^8Naoyh
z$|`p45@<w1mXoK1i9(Epm_PSp)ws-bjj`DLn!OSZO^T>CoYfi8+%KdJ245dF)0}BP
zp;Rev{<(c8(v|=R$uCCsHM@^-u0~X%Fd2pOc2FhrQ$)Z+mhhGtZ04jE4E4I!Ig_I5
z{<;0EOSXDDU*5SKr#YctB5BZ5{FdP%HJ6q<$q}>l@n7iL(r)R4M~!y~VK2+sE-TV3
zipo8n;kQ`FAup+H*fW;-XO`EFyZbj$LYd*|&!X{&4h1EwAE#b!6&XsTD49XU&FV{^
zPTr@!BOyMJaj7Z`ie69noZj2)gdZI%i|$RY*o1>bws;q*X_sf1xT|>luV{wl<Mg8_
zm)ql*1s+oNmjOhclsbu`3o8Y5d5eR$ioAUtEt(Ry)~0*D^GR~;(f8gH_S0W#_ZG)n
zs%;WV2~xc;y&P|sjQKWL7<}ocKQKn%4ISolcPyh~=Xw-e<H^J470Sm@S38>5De!DX
z;6P!R&%&aJIgAgN+5{X{AfVL&6pFx5+DFjt!XV{AjqH&64$9pBs&rU6*}O34nr0~F
z-$t&U=0D1oeBej%D_2kO$=qC2+N78-otj)|$uwqa|FN$jr5E3JSbA6KMY`}t!>aUT
z+IXU36aevA#oYVzx)ej8C=MaR&H&~JZ^3WfdKSIGerL_TS)vlG%lMr>pH6J+tO;ui
z5G)sIo<a@>7+RDG$e&R+G_6P=D!vr;#zpwl^K*&ci@X;W8fa0hdFpX*Yo5#Esm}M7
z<yujjuHPS`qoJddi@GbiEU--bIvRh~Br4mJqT$L2VJO8`;<Pb)szauA?(*=cEgk1z
zAVCJLsG{k;&*_a^N*I#hstilW{u?3u-Chza%}A8A=HW|&x%yU;OAWhWoMwpNaQwi&
z{0A!OFxHu>_GVXxD7m(@=V6I1hPR}7wD4bQO^+*NKf*&UTgj+VU7zHe_;iISFru+I
z(fBl}I-f)IVpvgB;nGUotc-?%Wb|T4QC~yGD}s=m)QME9(9u)(fYgf~_{#t_rB2)T
z-OmRMYgmj3398VXQuk#v_nkENoHWV(iCW<KS~Bj@oHRd_**3fk`ZRA=HUAH1FMw)*
zYIZ$<9LJVxV2`Vl9$_zFm>uY~8K#JtBbd4|*X{?%Io#RY&UeJTLJepg<Xg4BMT`Fq
zZ|Vl;^bAUen)DoOQy%8vEZU~9X7~3D(#fmlq4ema4{n|2!G`rgdX1Ptedt~0;eFbH
z_o2@mn}$)W!|685jmP>K(#~3&2et(dc77J#aK!#TT%B*5iCRy3I;_^WH$o(KG5D;O
zq&eZZG8Gk=s0!?Z1E<CvD39tRe$L<vTxKLemN#&rUjyDMy|&ZnWM%wHkQj$1qlt)Q
z>PANp1YcE3MLgSH#YBw{Rw*;EkFH5>mZpc*RRQfebt)&%tp~_sp*o@RsdLm0k<FV0
zI6tqOd4VfK|H?v(Jri}`RW9VBR58RU9ZFlM);mZ=U5Ea`&zlodB}hN+1w`Mo;Ll2%
z2CYd{!3AONb!%$H4b458@u6}FBBo)&H?q8Y^BP1YQBhIVApZsv#3&jSx?)Duw|=W@
zYr!yk3?}7CUik^T=WfEV++a334u2KKUwygkPgzhvkR|ga%nEQ*T|L|$9xphLtxjne
z^koP-+i7S#!$3b>FiQ9sK#4_fz;AKyo<=~r*ERibt?rI7k9C>sB3(1Zj{dmoN#HyL
z&AWc+Yvy{E$2X=PuQ+dppd6Ivllqt@DQO({Ne0hKcp}kPN-IJBd6;MU_mArhqc6l>
z>tJ4sO7i3g`z&ESHY>43h{Pilk6qx=U!?H|6p!d3{UavI2fa1h7jdr#ey1?@OUut*
z4gZm_d--`kl_O(ZuJj6?=6X*MA%fTgzt7sO=x~OJQi^lqlt)4IGp)ywn^~gfpcr1B
zruX~o#CV?wg#p^Kl%KeK><7l&vn);Gf0sj8kY5#d<}M>z&K~M>h@iPJ?-4xR9J-ey
znQasK@W@nJq>1Hbvd>{d-nB|s$1F8s>43jlXZ8CC=*manXN%{&mXJVfZJUeLH8P?G
zqV>Q)De3BdO40X1+Z@g80R?4yiw3Zx1Oy%mES2zACkkYb0b&{+5^_KI1cWFFX{2I8
z)Jw~2vbzjB3+2<R99G3)#E!tvff>CYKorSF$TqJtv6x0P>#edv^Op3>O*y7XH9#Pw
z@+^Wi%vBg0vfLIQ7r{zV$>>w#yExV>qPh&asE}j*t@^fRU%}3+I>W+@XwE+V^&CC|
zqh-VIzuwGF4Vn$?DP?agZUBX<7T;1lBg?*UDkt5HoE-&6{W5d%t3Qf%<O-%Txvf49
zAx(;niE$j_8T?wtDY9uglBax$TmyzirB43t@goccN-~Aw9OmTeGC|(n-U+3lbE`6|
z%aZX%?EyE3!>smp%s*w6B$5LbjdX8#X;>O{r4Pf(6SYFVkkQ#nvd3NV8zmk-ZQPkX
zU9Ed?Bf!ydEQphMFB?{MRhC^4H#B=M&loy4gZAnA_@mia&PeYm^>ipQH?B4-Q7fQJ
zj{9kv%43D6UZx3`^lbzCr*=6JDBN@|x-UnArcRlD8!2F0BBk)!qGn9O+=vIk$IHRN
zJ*<Lay<E~zO$#E^s?HMHq%O;psN1JVPs@U!1U=*^!|<P2nussUg2>I&p(v{0IXhyt
zJfapo)u;&rwW;EL<Wk8{8`WrZ4cwvG#|Z1m4W(!ywOqIKwXuV%TCpmfx5uBTG^tVD
zG>w}6?5{PxwdAb*LFs=N7!(8#6HWt@73HpYiQ)w+t1XA^J%Fn-E+ga9tH(QhK-fFR
zw#9}b)e|O{6Cl1BGhmnIdN}N;ljHRM-ETUl1!SJo2#1*pJ+N$#osy!j<CZ&iD*=*u
zUEtKefC*8~R_Bc?gb32R|9cmteTi21P8fwHRZ&-wZAuReS!(?II#ct3*4%0}nI%~<
z5j0p9WO7%<#Ysd`tU#ohY@Mr~X`F7%y*Ly~%*5yw!jB)Z$4Yx6mG^b(xSdRL#O__;
z*GWRO$yd(UKk!B8LdXiT@1lzxZC<*uTE+AQ!V#zn_eUXBiE5BAPRpMbnAR_&eKK#?
z761I6%lRCFa^i}|nC?rWxu0BbbTDexth|M*U^Dx4GRTLsSaMFEEv`X`&r6X0&Tvgd
z#!O3AvNl<LBK0Plnp#4EAn&uhn+D{><9SGkN{=_&$jcO7-W?K>Mrm|naM|^?w0qP8
z569JZwD)zNq>!H^T#LCDb3_n5Mv=`Z-;3sJ2juIof668|iG?`BFR>e933v6MUbJXF
z9NO>s`udQ)jbTa@?pLn(^w)p4o22?6&><JDmb|M@r)i?ry*b0@jam$}S`-=7D^y}%
z+VTY7Svp&UA#`abwwLiS<(D*T!<osr<-ti&=LKJ2h;{nu9|R~!FRHKk-G>-WQI+AK
zbR8r?&{yDFu0>xix(HJl%F0#{m7_{l5kE}M3Ca?*pt@zW$BSorec2=h-6Gb^r?dqN
z*T^k`{=JbctMd&7pY1Gf1NjSM#Es!J8j9fHV1&35)wrMA&x*UF{r2?gm>airsoV>s
z6${Mp>r}*EH9Pg^vm~%8ObHp==&G{EnEZAV<H8l{@RlB1D?@-n*BU2;>XTv)Hwqod
zvTyP~AM7d}H8-ndKC#TnaWeg=^rfUt1utT7+_#v3M?t2zRIljlCS#3uzt-iss#?`P
zyWJ#qv^t(<*KxTPy;YB+_qgGK1Sq|L&d{IlA9OB9{ol-g|3IBGw42lt2ktgF_)R3T
z32t(7a`)mQIagZQLFOY!1(C6_W10QJqcK}9+`EU535Y)EQ8RI}#UvFK1*xW3V9NKN
zByknSwSJ}kqVy%)em|fRf-WD=2{ILj7<mnNOP=#O)d(~<(^dPY(?z(Ra^Q&&W%m?o
zSvc52jq~A*mBNaWiqiK_Ij(UtpQZo2S>{RX{_Odkp4ZF~J};?VA+PE~@IBMkW%KgW
z^X<<Plosv&@pr7}%zWzQ=MuOYsdF;zs?t1(KsE1^C>B(uEInyC$E0%0BtG}Tx7BiZ
zke0_nowP+=o~SLkLT~E}^QS%CLOkn)-@zBWn=j~&W+{3<*|v*M*5(WlUdUYd?SJ~9
z(I<lt048t0kk1D)b~s2GT69cLZaxU1^E^1>nmFiAxg56e6nH;uuZuwe_Wgcr(}eRM
z&GlZoqCqR`|GfK}qpBrp*=K6JPkMe87%!SQzVCB-=I`du#d2=E7z&?TE5&Q_`K?80
zyutp7>R|fQLbI6^CCLvr*VSJaCpNEF`3TyNWROk~l0?&4#=uxy9EUgk8ur_duHp0J
zzGM{LKMo(iUxqCXcnqa{u@6h{**q&*rZnoel5*Lh$=q7h&+5rqJRRDq6+0L{HP$LM
zbg};>Htk>92mjnt&{{mW8g*z0G*EZ6FJtOom#g;}asoseiWE(lTuI2LUJupU&JHqM
znhM%|)v8jHZVOze<JvF7CFE7)fkM097Z2r1VaZYB`jDZ!ke18Xck>{;yv%mbVp?kH
z_><JB6IEiotPB>aU5D7f0+ky(o`S#E<#A?>2L3S;h@ouKa?Vs~1=3zQzp<)E)!wq~
zHMDSc^#<0c8)qt0?GC2lm4t?=_o)qPo1^`chBxc@ZQiCSO8BEJy%FyOGf}^`o)Di*
zuFXG1v!NmG#)&7Y-n(Uy(s;4jmguci*6Ynyf_KWs--~KkS4EJ2?<~B3tA4dDo~*)r
zON+)I)Dr(TWBrJx&eAGF?wXeDv*7cgD<q;QS5I_296|11kDkwE%7VXCT>qqKfrAVN
zQVAJezxEJ_wlaV5GI=u6may}O=jB_{XUpuS<XGn>)6qK6wdetd9aAzTss(Ncg@}-R
zS*?!MJ^9LzCYgbTb}!bJvn1=Y4|{38G{<(;c3KvL$cGqmzW;bc4r^}?h=xY(-35tA
zi}d||8eco;lR%w{P7e;4*PcShqj1LD@WE+^dvtVKpNG6FafU{RPk$tzoqn;RTOE2-
z(X84#$4}$^gc8V8s=u&QOZ@CNYsB*I<|azyI$b8flV<I`xung@sNmpD(fW1~v3L1P
zp9z}(riT}fi1`EbLtvjqa!XDkYB0M0PuJZ}Obn-D_x3po_(-iu27f_4RJE=J;)(uu
z$0%-lvw;Z=iqGljkU%XBNT_U0mp=m>dJol)d7B18S8fHr42FboeN7Q`sK`q5V=t|x
zsq|YiKe&HZUOc%-w65zM?ZxyS`nfsmIh>~a@BPI+5*~(}{ZMy_bdSXOF%52C#(R9=
zca{ip*<@smR(;62vmRNf#$$gf#O}7We{!0)r}ElL_eJP)nu(F4`1M|KldO<#@C1b%
zzfQM|3jL~=Fju*U9Ik!QRN}h++>GaM4o)u1yr+t2FV~ZV#lu%`d{y3AD*WTz5vtQ^
z)=csY@L4MJlJp&vult%%vYqMhZU2-x!u<VqiT_h+xiduG2+y0h@rPRt#G1vzY5#a-
z1r>S9S1dRGzKOB8M1rwyAVtIk(HfoWFZYPg$sbA^#~5?_?!M9|LxwDOWIr4{p??uO
z{yF$?NOQ29c+Y?}xfY#d-J+CA+rOMY;&TjLwfA(1UXAAE2pXP9*Rd_fNBZTrO`m=g
zMZ}=#1o6<;B?M!}$()EXqSL__DgjzNw4AuWXEIy(V)22C;cF3R!mbg3n3Ss@ljOGl
z)Oe8w;o{?Z48`8HfRkmh=1eU=T4MW%@#Wv4z_XaKhh3v;vOmcp31%IfVre6`D4Cgg
z^dLSt8sT4VUDRu|0-`4&Q!*S$l6iqL1>%yD$Xr}pN4JL^CX>a=nhkd3V0@;+i53fd
zVxD1&;x55!ma79XSOhRCfFt>dB=94uc^Vx9!&;{MQdh&WUzB`0-)eO~Mb9_2QafjR
z!2^leVZMLme<CMDii|iaL%vDloUKW9vgNuiMhn_8mL-|z-#d{B_D2~iNQbuN;#J#A
z<(ys>y7F%{GR2{}GgHn5RN2h1gE~U-^nUEC2Z3aEGe4D*k`l{5bq^d8fEY<wMCABy
z;0s2L-9E42q~}&-3YdVy+9Qt3&Uy>CdQUY!8a0-9SI9D={q{wsva+vFgt_hJkM5Uj
zS61<wn|Nxh$^GHn20Z-IKO&u2O0@ljdwrTV-kl&x7XP%cSHqfLl9bA+eUP!|NJgmp
zgq%g<Ay<~}AD`&^Vt@8rk0<VMHPAzasJq)kvL3rcsD+mrkUhL?c@VkI4^SO^S};AH
zAg)8sMw`vw6nrAHL?pSnEuNUJKQyXlOSSV$M~ZqngL>iLoXg>Y4t~Lwu%8j0a-LIE
zh$N<QzedSBCenP1$>nQzJ}UP^GY^czCk5FY7$`A4i5W40+0mi)43e=FvJSdYfz$o(
zbDyrKSv^<#+fF+u_cvcy$Lrs3*Kb>2?(}BQ4LEU-cJnFVsQL$L?0XS$``UHm`A?&N
zy@G=d^Ho09|1)lWc<A~Bzno0QH0_F2Xwk4BrlIjJcM9W(ruj<ZMIOgkK2nrx!hE%E
z;>+5IzjmwAGbt*gqxPH$gL7}>U23>_bc{nQH5o>HCKLreHH1@yh`vLp#NnqUXX%}7
zc$xQm(e^I$aJUPebd%n$&$y{AS;YS~ve<uBduMqkA!ZCM#$rL=O5#tg{nz~b5C*PF
zBwb#wCl2+}IFR}9*MF5@(zRnS3skLRCZ1>wEV|;}pwX=ITJbEPTu5}bO68m#cW-lG
zFCQH63VGa=98WK`r#ATFNRF%$d4jAvNAekWzSxfs-*<;-8aCc3y6lT}M<)x_RNRDc
z$yT(WXt_)bAL{R>8tDFhR62`dyEgSL_{aI`P0?FKXj}3-v)xMxyn)-tfxki(7A*TH
z!2>559gex0S=<{OP^WtY!TQ=yB3crX{T|jqR%xX}y9WaC$^w>__R4r^(-+Nj5k^6J
zsRcE3QN2Rh=a0&)97Co-2*iTXm)wE#eJ3YA=1K1=o5D4?0=^kPsf|`0MV1mCBI;p^
zkrEfxLc+~rjr^&_jpo7?Z`C4;<xO5LRFir}TBDipo6OIKg0@pRKjGZc5pkEu)|9Sr
z!!ytDRQWZ#R6}Z^k~O!oQrAJl2N!SCvf1Fgbf28FlOP*`+M3Oa8(G_IvvCB-CB~8t
z;;d)WT76|p1_aDFzhnhFQqYE7GpDe@J2NvK{^h3T8C4`phld!?7~oViIGV>^Fi^rn
znsmpq;gU)rUwyUqxO?u|wlkhhF#eTUr@q(|6*UXiEK0(cbyVnL?Sf-tq-q&Fmcziz
zJuMTSP9F>gqijweT;x?K7vGrei8yHIy`F-Wmg#CND(jyUzct$v6pfpOFN)z>UI?J?
zg94b0Xn#oaO*sEOd!KkyEOWf<H#~NfkWURkrCq&!T&@8+A(#+=J`xR)3%NA<lCL(>
z7%7YfF%L)$+pUCD5T+x_r3tIyORXU{pxSdsg7OQ<-GL;f-#yOLr=C;y^7Qy}^xETm
z8&}`R&V%cVG0@w*>%EfrYrAdlp8mD`w}QX=A!O06A5;_Kl9G_3C4<LaJ+_YWJt1cA
z4MKYIZAx+97h1e~r&%N5*r@4Oj+7S~Nw+$XFV>_Z($CnpJdxKc6cuvv+nejS=b4dz
zq^lJ3T=?Ci>@MrH*6n*}FD1SD&PjHngz~o}-no@?94=ei7R_UUOfH7I8P{hS9ZGb#
zWbF##A)N+yBnZ)^(1v2&Rfg4`#c1+i?`Y9@aX#gp!)J|7`mm3N=tcFvU-Rs2aF^Zh
z`hKJr)+bUodj>U{#vA6|;_$^VaJ}2hSHg)Vy+s)+`^y`5Q)Ve{qW*92K+)lKwPs4j
zJ7dbUXU<)?dlJ6di`!RDge>zz5rsBHpQGf`(JHjr@J^q~Z*6vo=L;^pS^cX9e>w1+
zk&NfaUeHA`bJAh2iL=_ywn3o!ZbJl6BD1T;&zgGry{h(UPd)D_iK(zMv#ZlQApe2^
zz2ls4&0@?y-X$0)n|d9QZSegwBBjF4l__pLlZaGT)pGPT8g%6N7pMB*_^8deDf8va
zhb-aTb1AP(B*>OM_ZH)4YUQAX%R@yQd0%s3=D;_*-M)jv;J`Djm8ir(<Lmv4;iBUZ
zYBDXmPu+);teE95Yb~te7$T-K98wZUHpR`9>i1PN5ie@>tCROFxKBeuTm#?d@f!9;
z5`vU{=Dxx6bi*ribIu~W&%nQ$@()M*6+HP%x3WB>qd}HRV4)=LWM$X(UiD8=YXAyC
z)yE54{@Mt&gYKCgvgl`bn2qwO+!isGaDG4?#N*#*shuf>a&;Jw2MDvn5!jc6Qcs4y
zO{G6ceHlH`BJ^RfYdp1+p_`P`^ThPiQ|`h8a+|=SqD{4iv2=cHP*_KXV2XHSB9{xU
z*+UUDp++CisK1mq2Kh|Ikdj1~B>&T>eIjwbCo;&`k`~N}|K`i*$uDdRsWto6X0?6I
z2Wuq0lN>9NnwuDGNYJJnYwK^zSA(=i*L{J;a~=wyE=4FWGmX$h0AKMn)wd%uL8;E<
zOD6sh!lA`O_$ZDZbabLMXf?wdr!`3Ww1k{8dX^zM<!36hiv%>TG;!=%d04q8#LQ@)
zr)KE8y~M0l*78^J8rhjeD|?a0Wt0!ky1@Z4uPgqfB$_U5GXBeRH^px4crX6nY8=V+
zj&gdehl=f?>*&(v9^u-m8!|xa1)W7$=jJ&tJ0W1vBCsPhU9UAE%KT(<`|P>0XZI6*
zkvU&1CpyxTUptJ@>nqEX5t}?Z(jyPSA+Cw(=pDWk+=8v`Zp)^g{;m1Tmb~eY>xz{a
zM7P@#8urG5({?62`6IDEc;3bP<|Sn*&xez>*Fc=!7%#Xg$xL#d^dLk8rEJh-{0a$;
z^R8nOc{U%JwsWRRvFNQ~uVVS#$>fr!oTWs^m-k=ZZh>hwUMpc@!5cbdh7M0VQ2(!}
za{kK@G}QMnF!r%{;=$*s^4I$|=_#+mknvwabkWir*k0I|$)KDQFIF}N7FPvNrU93Y
zYSTGV*9@D@e;Y*vlnsFrSSx^z^REk&kttkV+6N{YD10@YNAp-7X&*x)Vi~;12%*n^
zs+y(mN){NrHj12$YEKQTH)sPUvMXwEA@81;57$%>!>d9@hKB=*(4?0q1VpJnZ)Sbs
z+ojwNyL~$O%;O)Y;??V{ABEG=Flo^aa191}F{PRD=v$ZnKK7n;Pqsi%Sc9cnbkR06
zn!3EHsGN-?qGkHvH_WW;|Mu0ytEEL*R!SYxzCW#s)8ipW0@bZ|1gEzrHj1Su<Y@#E
zCZ_o2Xg{94`--0~3s)s?eqk*TN(UWzFyd>q)_4bL&g>|koHNh&A`)BEY4M}P#`n~*
zN0dKAms@!cv76rKlbN=sNVzo-?jkDI&}LMa9;92z)zL)u)%X-qKvZZO!TCq#&=;}!
zRrnLX1uPvaL4p%{#+Qy5(+kh9Ufn>p6~p%9edCAan_G7^N>Wru=#hcxHq_OF<HBx_
z%^~kQ&l1&Wg&o^s(WEFSB*aVHJ8~=~!cg6OY0~4cixtHF#(0{fR+)OkolEC^-OTSE
zM5O0%UwA%!Z%_RKp<->$ndik-h^B^dp3U`{22u38shC*;Yz?=Ec$Gi)+TM8WKF%?0
z^obVle3BW_aLIN(O!>|VFPUCT9p-J9QS^mh7>!&zr4A3rCuRy^deYT4bJI5jMU5hP
zCb``CJZWo@Zs~>~>X(c`iW9`NojZq~XpqvcPxaL#!|#y$r+}%@LENTo1frF8Xif_%
zSFet!WMb}P;uk@H{R%y$lL}FU2fqS$WY=!ku}8VipZ_G%3OD8Z%coW?ptJem06jQr
zv>-VdaD(|gZ$*mp!`B6BRG<fZEu=k3IjU5xUW!)eq|Ky*X-bqjS+-=G_mS>GM%z^f
zW5fCbhFSa;Q_MaeetoszMZHYTsO<d5{yLdIs=tmuNap2HPD(2MuI^paDQ;_vzd01H
zpxUlgrnyGe?)om<FX829(KcsV;n*^gQ(PxATpG!h4!*%qs^mLtR`aEQ&fMvTU!A%Q
z!mm`+_{0o1;u_R_$<RFeI=w#@U7r55^ZR(~tz-B1tIq!Znw1{!zROnhjT2jCn<Wie
zZ<cHema-Pv#1Ecl&PPw&8pbcZ*QqyQrdxiJgtgOoEesc+YmBQ+Hs(@LxN-XOmTf<K
zoPKV`@!sj@xz>J+WAWFucek5m4QX4Fb96V}=_NZ&aGlJhUfJm)BE<3+%6h;28BacG
z+XXf)=$?}&$7JV?O}NW8w{;Kxm=rW0_4m}={?ip~w``hUSooYLaa;<_DS%8_W6>Y5
zr~q%E&=#AWmE|Wd)(pA~qzn@i6F7KyDwi?QI1A5Pe^$-!s|^YY3Tn(fW8~oI*tzJS
z5fC7;va)h;cMq4NFKr1#01y_C@i2iedPv+zVm+`f%;6xy0f-?g7FLD#rX;!@E}x3P
zZ~o&+R<b*-70bPq&t|ZGh5#w=l>~r;06<7_7elusdcAfu|FTa)xXs$i7`#*-%A@4}
z`7N9He_5U+$nu;3<Awu|^-;usWx+h<U`4<s2R_lH08NRbtfUmMK9pjzGg)Fe|DCN)
zn{CpXS6p12)9=pX?qc4)p(Top9|s111bq8KE?ZEh0*a!dqRZhDIdErTbG8+?5E+>}
zYNK`Hn-H0TpeY%+2wqZ50(2w{WEmkL>q*8kodzsBJ3C(Tpf!V_#6$uNG69^QKYv0H
zKR^GhEnlh}>o0(q&a5`+$MWzz)(s_d7j1kyK;3O!pDPthadk4p;kZ6XsH(1>+uBMd
zEiIk;!UP#I{9P#Tu~*%1=d39BfL5l?@*{>k>fb+8L?k35PzMFvr9hLhb7!h__23`|
z#xR^IbnfP!6ug!UVob8<Zu@^ifq2(c^Zju@Wk2W;!Bv%!3h(xH;4k~#vYC%&pg{s2
zM^s*y2YP0=AV&NIdUrTbmG7+^##63;$(Nsl*VKbx7pmYxgU2ZshXnlYu0{^9`sKSp
zhYveo@vuWN2;#JwpbZHRM}X8TbUkHne{?y%>|_v+@p_Xt{?ROb#4SlgkdzsG99BAk
zV4k<VJcw9G1f6IhLm)EKP-ag?*6;+pqhfxy!zH%lmo8flw?f^HiyvcSiJeWq+b_3I
z-)GF%)Yd9%YI?}tfXlc1cljJJKnEgPMCfdH1{*L<G&D((%>)k*%T+JrODAYwCfFr>
zUtMX$?*jKCWYjSK;=>;vQ!_KMyzv#FR@t$r_qS0YF)1lxy|k(GU4!&In1hZ0k#h$L
zi+Wjr9DU0{$4EN=%&sutpJ4?JA&@r_8~6mqkiT3S9)eL<H5RPkQ}?UEx+CN8cUyU}
zM*}pm3mX)UcleDhEm7+LD*u0PBBynce5KJ3CNvE|EKLU&Sy@>ci=y^R!mI#x3snKj
zC=8l3GrsIGVSy_vhSeFLKP#8IW`mz5&#+=%;`%(lBL?x<a$VV9u#Nh1-$p?Y%z5hj
z9QUO=QN-v(@qPI7nmwh*u3-)IZ0ehpGDN(IAb@E=1tM)ab8oR?bg&enom6{3|Mi<(
z5V%O&h{)eYWd~>HH!dzb(Bw_DCJrJ{1VVy1eXfplrungA=8?d;Qtg6$<5!LkUh63i
zK0ZP~=;TYMfA8w|ZDuOo8XG@{3~$c18|q-M5m@JcIMny_jeu!dA$%zZHqRA~MNWkZ
z547b(K@SN5a!$|!1Wo26UyuUcX019(3X&pt{Q7_ev3_*3v;^T1Si#uX;kVndG;S2<
zjo~Ijy|qTPcM1wWfFj1Xe50EAeIQ{Ad63e_{6Jz)UWK3+d&#vK2?@?q_n<^<@0KE9
z_q@Bi+u`QS3KoKPJlwFv$H&8F%_{U>!XCfkt9u?@U0pkOen4S{29DtW7@Cg%Zwmq|
zKUz+LH~wF}F%N_=|Mgz~U#9B+r!iV7W`Ok#VU#3izuq*ou#la1?pAhS0R$UN^V!XP
zz4--rz~J|L3r(lsk1^nXd-h^uEE_vbPJLYwJR+dMNli_?^}7h$d@L*4b$7bUmT$Sv
zuS~NV{&aJ!|6sAj{ts9lc5ZGiRl-kjpf7a1mi}j;112a9T6}ifO%~uSfL;kDC1t8y
zp;v>=Tn!!QvjAW^!}Lh@D@sV#n|=hR$I%3wAS~!LfKI`~!>=43g1ZO<#|$PUXW(~D
zchK?Zhlql*1|U(*Oq=?Ez>A1g^VbSP_t&pf6935(Z-F%!1Ol6wA>@kg)kXoxK3fYm
z{r2l;l(e)WK;|M=I<++6JeK+b0aDV`{J8A@*rxyCVs9=uBqW4+AMUG0r9KI0Q2{>j
z;~wl+3s<8~5O@>e2y=6De+{Ii(O8L|C}fL91I2b4VPP^PBqX4b%fM+iNWe2atOv__
zL!S_X{&)BMVv;{nMndP-cpjJ%Z=NiA`t<1)FpaB!{{~4>c>YVyoQVL;&^aIGze6y0
zF;g1t+z}7}Ex69;seKoDxLSh(uwUIBAz#G5K?g@;5;asj5Fip)LW%V|0bc$Eu!Nu{
z{^~vin8!!H%b2xgXj8)D5_F9xPW?_t_^ak@NkqJOTHD&}x0^B@K!nm@_f}H!huS3@
z3rkP4>n;QV7L&^FmJa&;P0pLZVg{!FUj2a;m^c0xR6hwI)N@Y^Ir@ZOP0ki@0V}Jk
z)C2?slZ^%{D)C2qwPWbu#tG}R%U5=Gn8Bk*9}_<P6c-<_Vzvwx6SY~n&%wkbz3_^M
zM-`%CHE3_0_WRM>iwcFLrlwlYBV&+IK{!i3r}ABP4NnaG@9Tf%Nnv*_F6sfUHStRQ
zwh*;a^~Ge9`F%H7dl}#Be1~q!MX0N%=M8wC;Z-i%D&UI-=L_d=jf`@RelldEf_+B_
zoGc<SF>zOazm(;2d)v`UFgE%#KHJ6vlNlHG0u`pl#zs^SDexZD+AoW)2BJ{l1O){l
zMoZGb7Esyo(5$4aOpO{urQ786R*5-Dd?=X>sdP%a^7PNX8#OJh1VmM)Ra-cHpMN=I
zT#YK5%!&&(Jz}{!%hmNY8j!GU0MuIy2lkvKA)wT&V>wfixw5fA4|wpO;4>%?;Njs}
z3;WsGRR9Zt2z9?aY;~Rz^#^b2?<oZ(rNNpgV1U7cP+>2npV2{=<w|1qqaz!B4i#$m
zpL(0V`;PmIdFy%qt5p=Sa`mX&;wkH{sVTL)j+T~|DxkRT_&8On@dOSI?k{#2XheYX
z^X;ynurTs=xj5qJe8zzIp#9bkF5s&wGZL(0nQ#bWOqPxPP_G?|LgDdxL5e;BO<!L>
zNSB=$LIn+thkpFku3!`-e}DgDGC)gnba6qHC{v)>;BowSSIA9Xv)(!hdJUYbX+4N-
zmG6vDs4RKDFprIZXM`w*6Y`YX92Kf)4!C*=&I=m_0}Bh7BFwnl1-Kl-FpQ_qAsk>D
zVGr;7%(hE6h*d)F?tC0^i^na$3I7Ii<5NT)3Jc(&!b3SA_0!mQ&KC7Wgv7y5>&1S-
zEU?h?XQ(kY@GyH-;rg7Fg$17g{cSYM?{b|6bf+d=@B+JAJx@dO^J!t5%&kSQ(P1^n
z;qm@5YWm-@zd(NJY3Zt@d<bmKMMXtb#(n7HH-N?oAH+Q@5Y9iRCWq~b0v)$KaG)bE
zSHZEvIXOK=0xOG;$6E!gfA|bPb~9nk!aiw-?hv%@2z-WbwqpYWIDWVL{HudWEHgfP
ze>jc05#a)kIx<GyJwOmfvb2Pl>f?Q-OxvOzF`y3A2PbQLn+cG0s{;;{pgv>VhturG
zk0ve;cb;MeDrjIWM7Df7ZDY6Bo7qpG5CE>xcYU>aKe2lr6dM~`<+iU4%rR_n0$yju
zIJmgf3JSot$KntX(F6bb78rq`5p#SH*|5X*C=|l<zHrhbCi)qF<fSX%&gMOE21LE3
z?ChD1;7nzz)AXN%U^bd$MhF)@h^o$ZP6eWpkdlgW<x7_@GiY|PD*w<AY&L|G<$E#5
zeBR*o9FYomj@mzNdE<=0GSA3ZEPgUcNlA%PUjxM&>sI=0-{!1{BVePzuFA>D30k!4
z*tnQM2mc%#Xfd$ofL&Dk?h9Va-}<}E$a+my*utRKTgx3C&}+>$uXEl^Z=eth4;c-o
zzR*}y^y;|SpV#<s3!<am{fdf;ZeVXp_fPj5mLum!%$@7^!L8<7*|gZ7Zj9iUkJZ%F
zlwN2R{RV44Y`;DDcI&A7vQaZ^?aK-QB>@ppq$@y$_kl~S?(RmVaa&CPaRVU+6u_qQ
zePKai8pcTiYp!UwX_x=_Z$7C=F}t0vf2rA(MMhQ@j`OF#yvK1L@#@Bgo8CPfR62zY
z4Ga(W0=tYD)#tR>{|(y>Ody|}IJxXjV*>YY+(w1!al79DL^&7TDM5ciuOL&UL;~C^
zT$RN)V8p;o)L-7rmw;vhTG`yxsJsUfxKZuCx9X*ooQ4p{Bp^eu*(}F%-`4wPT-Mgq
z;H7XFRD9QCPl@Uxo-Wr3KRG#Jp8vr2Oubwi34%>nxd<()-R`WdAp}%>Ui%RUa+OCC
z1v(wz%YuS~aY;xt*OtMNg*YE;<|DwY{B-lkbq`zSmi<PxVwNx(1c-T_cK7ty*lvQj
zAMh~fYxsj=PRoHfh~$7XEL6xu*U-=ay9*}i3ao8$y&kZ`^#L$bM8a*3p^z!0X47)M
zJA+VMK_ud`6}QF0Z!wxdI&aNGTD^yH<-j&DG=vb~Rr=QZY)jdsO*|){vXTS(3f>Fv
z0X_~6RdQ5hr1iokkP8lzqYnlMGmefs6|;G86krwSuip+0KRD<ooRSLKk=bQBWA~H8
zZN@e_yQ2R>pE9ndVqhp5H36y4QpV^M{=vaPy`8hnOy!Jq^R&rJ|H=I1_woRo{nPav
z#c+BH=1u!4{mIh#K7dp6#?Ma_nzY;&z<u`Y2?UcN25tx`eI$(AVss^nqrG#rC*1L3
zPYV$lS>1{T75?GwR1xaDI$kTa1^Lo5h$!{zccfr$FBw%;0vJoEO}l#DI4YFOt3kZu
z++jU0wX>l#e~O2T8yJXyVhjLLFjeGlavsaRm*mh_5NLszOEJ^e)zua0^~`|dS|=Mw
zbn-yP282{0DiuvA&jT{YMB8g|&h#f!b1Y9Dt6u^0vK-H8XaF@$HE;?4HZ~$Jskyjn
zrrky(9KiG+P)uhAt!Y>a(0Vo@%gD$GgX?{(7xX$~1PA3;tEY1v2(<^l1Ahe>o;iM)
zvEd|vpvUVm{|Xzqj3;$}SnKBDHvhRFt%&J1yP!cj&^>T1kdl4T;}@bFGJfR$k}E#@
zB~}Hmi8w8V(iQXfS)+tkQ|i57iiy7-o1b*lUdz?@vSf&<g^yL|I|kVKJwOAg8kPuB
zincB-kAct&1WC^&r5&F?e-8h8#Kf1E;RaZ7=rs^Zir$>BHVGHF{%$?>P2czKWyXwK
z+vLSar|;z=N}E1*Kv^fqRN#oBkYox}?%ec=GiFqmZ~K+~L9U*s&zU~raoBbV003E8
zYL=DYY(uPa^FW2P@_N=u&>Lg7h5!tJLJ%k|@Y*%Z@6WhC%tx^6HA99`9{~`6^pc5#
zgSfoJrtfcG6db45Z^6;?x3;#de;VwulVsEimaNb&Kz^*9{-+%q9tWXehCuj_b^TwM
z=XiX)be<+2m7f2p%LC&r5x!aph60jUG`h`eBdDjqtik(r9g`1?z=>_|f$VAlv`|!F
z_pAW6?%$kn3OtS7%GQ&}#%`nlkYz_KfBCN>#jSSdTYs>+3I~C?&UWh-aMs`;;C>oN
z8Ac8}9x1lBw>3m0-}D@<_Vn$#v-3Q}#ERaa5)u;5xcV><rlhBP%kP8t9+!|1JTUO?
z-{vL_2M4yJqa$pyt5@m+_+hFw{wlDJxRjLG1_lO>j<lg29j~AjaKWkXU{8CiP1Y%F
ztZI*U`1?bhCGU$Wm`-~}!V)M(1_!$VMlc$j6{z?Xo7dfy<Ltg0W6~gLfAU&3%n0#z
z|L^n>CiV{EoA7M^ho=xHNSue$`6~z8WeV^Ne9s9JW$0j>{SWuICSWpD4G|G+e%L_H
zuQqRYA3*%51|I%01ytp@_M=oK0E8_-QoO%^4K{xvCI$z6t*axT^gY9+07#8_BApYj
zoGI($30V#}!xvneBk2t61cQTvM_nkCh7Whwxx7B*4v`M}UfXncS8K6<L#!L-KWAn}
zgUka-QTSM*-fi^l7${v}yn6NO>h?Ad<h8&*@wQ+6ee(HlLbr5O%u{Y;^w8Wt7a(pz
zFx(l3L6gB&G_QRMUWO<vsRH2+vjw=9{@vy!u>Ba5WWXR~Z(pC@%nLi@W|!@t;$lV!
zNADeoOTRV6O@;wr?Z^I-p^>1qKmTP$#eX+e*4L4eWI|!7Kp(Mzgo+BDkFW1Bh^mYL
z+?F?z1jJTB^)@pwjG9yoS=X<eH(<@cyFCHDIe?>Hi(ts=1Y5qeJ~kpEP%=+UTpa!j
zuT5BI=j)KrP-<4zvdB<=(*YcqfE09lu@1h-!NCDI31JaXr%9|x7zovt76O~mQu*yE
z=;czO05qMuyStVBeN6BVTklSWz$8nghn~u1(9H_iBEfR>FiQ&a6Xoi#Yk|NOR#TeD
zm*&+T2X+ZWS+l@iPFEVlg6QOHRTWNCQxoq*nJdzqA4ncSB@jNK8XZjE9335XvQ)Oh
zgN5+gOn*$g^*(Gv@%MiuE$=Udr3S-GN5FdPzMoIWEK=Lb4>K_~w$|mGMBJ<wU{a5H
z_5@^65ai_K1l#Tl3%UTQ0Zex;NcdnWT$SCTkg2KZ3IJ!c?7a99OBovyg4lY!kq#0L
z6rhR;TBAAYrQ;><8HO_i@j)#94D=Fo3iLpZPz?|mpPun!fovC8)YpK)Kt)AG!oq<8
zAbJB8MXwQ+m6aV_T|*b`q=3%^W;hr)nzOLjq4EHgl3wuet8C}EV4x8Y&44Hnh9631
z(+LCCA+oMIF}?yD*yyle6l`M<23an(3WC{CBTf<!9fX4fausZX-gNtRt#UnJia?RD
zP%%3u=S}!u;7oo1l*zAp8x2sMc&F+v^f@IZ99*V*YKjmH7gbhsfEyO@x#Bb*P7REU
z!vU2;MgsJ+ovA0FU;G0s`-T654*>IuD3z!J7ySlQ&?>jR;69FRgWI3{N-+4oP_CpV
zu7rc_OKR%JH{n<y9jRaHCXKP_Ws5cI0raf$aptO;O-}1<f))}IA-_P*X?>pUdyxh@
zQ|l=P-zH!7L`RdqyhuJfv<88yIB*4(q-&?kAxKY%K&BWDEIF(qfz$x%AEW{xo(TnI
z1#o0A$c4@dvnv6`H>h3a3P?u+Stp3fwHRMP`|MERtN{T;|94oI_G6h=oFqq}PYLp+
z8OtW;1rk`rHV@A5<lj$#-N|J9j6$M!59S4;a<*Yl?d#XC=}Re%jRL4aN^24%L_}f0
z5*q?-8?|1g@$qpFkgC~x;w}Aw6(M1-3xo;X<9Sl{?(P-Ofb|jt>A~?Z_t@l)|Ig#G
zt~X_l4m^<UpE|TsjY?#wv8f3J^lFZphclIwqCk^RXM(s$sSsE-UOP%&Yl37}tsoKa
zi;qM*%SpWr&%h+JYzliHQ15x1surx*W&_qEb~DTS0QN+}<ZwuT&6r}vNJfH9Vhjqm
zAETq++S#!W4h`kZ?BWs<hDs;U8-eXIvu`>IUWDuaEmix|{D*J*f7F+LJOWom5iZYD
R<_3X}^jigq3UR}r{{@*ys%`)P
literal 0
HcmV?d00001
diff --git a/QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/examples/figures/fig4.png b/QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/examples/figures/fig4.png
new file mode 100644
index 0000000000000000000000000000000000000000..3f13fa15e8d5146d0f144aafd4a9fb0a73c5d790
GIT binary patch
literal 114204
zcmYg%1yCH(vNleD0KtO0I|L0H+}+*X-61#xcXxMphXBFd-Q6w7!auq7?t4GAQ&80I
z%+8rU-Tg_2%gc%(!sEb$fq@}Phzl!%fkD-Rfq}<<f&u>1-IS&a{QB-JqVB9@XX@-`
z;AjFSW8iFWZRc!lVMyd^;^<^yXUoFC$-qQMWbW*2@5IH(X!E~sV6byEV`QsqssK&`
zXD_bd1O|p|@b3UG<u9=S0|x_>5Ef8&&ph97b5~Y*>Akti8kZg|eA<-wMCL3g<|$U2
z`w5<=`j^Q?S55Fj6G&BU34%mKp_W)Y0SO`x29=8pcyICM7NI|w6a;v2Vdm7`_`vwO
z*ObSVv1zKuQRb6)J>6KN!|UV4-qV(!+0|wj9=~s9f4?9N4UN5vOOerVbR;fE^h$%-
z-pR>|G4Av8bLZ2hSEYJgKxE`+Jbe6<^)?n3vq|H{N)7RN<3ScwD1k5keVOwYKF0QX
z?#GG!o$`C1vtR4$15c6^F)=Y2@Y&qlq|@up^aZ`>IKFLmd13Q<vJMUof^l+lE2*i4
z_UVJ^&zC9yZ^85O@<PZ7C;Ald-<RNPL9GkeVr**apPu&zM%VLY0SgQ2rluxkWo3B{
zjghzKyPKPvywcLJkpxO5U0vUqx`TrQ=~O2F-CaX2*YiJ@8y#hpm4)r?>2mxa^d!l_
z)g~*C-Ec~4XV?F|2=IrERtJ{93%S)&waNYQ3>ckeW7x@D35T`UL6VyLSyhX@vojeR
zTT)n9SVVLdiy0DQ_g@lMS64hf@6^;(tcoFq|NF`T(~C_JDC%mnEp}TWXBrwBm^NCq
z`ru$nC9+*)9?;jv1u?tl=aDn!#y7iz$%xATyM$k$^6*jN==9GPs}Pq8^7C=33AtS(
zfu#o<ipF0%uA7{k{EWl;sg!Vp{QtWeQL0*pjJ`#a=Iq?u^ZlG$+gWu7SXgwl>F)1v
z#Mi>YLRRgVm>9eIDyKChLO$y}bLjtjXkS(ti>e@N*<oQ}8#OP;pOCSbeqMFIUgjr3
zIXODwRKr3;v#lJq*<fH`D66RKoS&~B`)XD_=6B0bpplc4yL)&LOU$a|L`*x1#|K43
zAW$TPmzS5D5+0qN!v8QaAzx$=E0L$NcXbs_K8R4=?~KjL!pDh%3GDkJBNL^vXN6Gx
z;NdXY)`RjxMFoQ*VPu_{J(dhENiw*ri?^OmNk?a6-${{&k-??Q&k78Pjq{5O#^;`X
z#Y9PRSy@@EDADqY3fzs7Do|C;!BwF=6%GMpk|cEM2d`F<qQSQ`CY&hDjT&Vd2WMyD
zc(T*e)9DlED1t4Vci9P_^C?h|yKT|YhY2gr#LLUS@0ce~H0C(qRY@j6h5pcUbNb+E
zX=RncvzZ(NY8zHgJ_tFA)~yk%S>kBx(X0|JQ)bWHYCFnOtzcVo(gdz&W)=$EUOXAG
zgyO)SSKD7aJUn?SbYNk!vNl9wPTHnu{QdnA>k#^rQl%*z9Ubi*98k8Jpz@&Gi=SNE
zvfvO95<qWn#!;fAkl%=q@wt?No$^Hf+6{VKLwr4cc%fK(yB%Z1eH<GZv2g5J()Fq`
z;CHalN~x`7(nvP>PEUVP9?eZjMfHcm;pp&i6xi!<aBxw!Jv$+|#u~{7QMeqdZ_Kt)
zDONtZVD*A|u^e`rbYt~&AJ0cQU&F5oV))vRc}LAzN1cu)lZ1qX7`-yxbyJ`0d@k#4
z*4Tk7JWq08HA;@#^?;gz&%He?>9u6^JT$#!u>&VkQ&Z!>v$}XXFUj%MOg7QjY_`#=
zc;{w&s^cHlbl|<87IHK+%%_u>6?uxm=T>E4WK1#9NY3$nIr;j$tT%Dz0VDuN4UIJ5
z%-RYH#8(>~YJASe@&n(a3Hdjz9ZXD3|J{&^ipp)B(eVC8hufHkhX<nHS`w|=C{5C7
zI>DTi4T7MPv8kyh$c36=mxMvhuPy!Q(Uk*&mY26{$5TK6908MI|Dt7!f|)rkMb9_Q
z?`@Cp>)C5CrtbC#WsY^Lj;^k(xj9wK<a;WMhuTMkk4S4ko<p4UDT<hPEk6U&Bk(9E
z_4l0xn9r2tZs)Sm%NwIUW}&aA)`pl^8RD1x-V&N%qxI%I;JzH6!2BE?%#ua!a#|Q3
z9``0_slO}8Egz8PT%}H1XO51G!#_UW3luF9j3@g{L25QSx{{qXIXkaBshp_ev`(Xj
z2_~5B8Tsq2Q>ytjGzen*3%0;=hn<cS|Ka`XJU5(+)6t4cg+_|!Dh0E69$Vz6XcK9B
zJRM%hYsYEUw|?#73i2k_m?n*3afUL&!LoZtQt!<%wS{4)E>UJqgD*+#T<;3$-V4JV
zVjkMCu17fnRkftcgOH4{h-f9U#0?FEcgR=Px14?-_F#C119Ye<-=*OrjtIMkZV$>1
zD#xG4c0teIJt4NY&-!CA8Zvw`y97mIhf>x^#h8d%k*SMHM%o6Vh?O$7h8AiQ(EoC}
zGx5}7x(!R`3TySXhc!|dU7oIhgFOZHR&X&osk3h*mVd_Zc6@VaXgV>tLikzHLn>#J
zV?PK&^ATg_^knkO)ab3+B4=Iy=&d28TEfVnuO17(EA`7kx;ou59#^P-DEche?!|W2
zS-mKg)h%j9M@((Do8)F2P*CpM*lw2_e*jxhUCS}CI?S`k1oQLHN81Od#zM}_$b*Nj
zyAMsE+1u>#jBfhN-LI<ycO7Qr+Yda6tT1h+FXo%#48ir?SJOn~MZ+H)?+A}dZokR*
zDSzY_Z>vNe@S~n6eymI<GAd|nMqTlh_1-JY*=Qp+z0lIIAQ{XP{8o#<ae<`C9c6-w
z`WXIKTyM|)a_L{oXZDh!{lPv<JDYRX{GvfK;GK1FaA1~-6nwS6e2z~`TVZNf`Vy23
z6oG))*w_kBJ3BYHN`&W^m)m(IIcD=|qL+uW;S9TO2}45?G>Un@za7{9m1SiXw^3L9
z#Cs`T*Hbdc&w4aoVu|HLp`&`yX6$5UW^r$3pwaM60vuc1wLpQc{Nokk_}|epJbriP
zl4DlOZk!Rpp-A<Vpf{QbW?x<D)43=mkHJd*c>k=f0hM8*`39vNP>19!8*j9$rPulS
z6eW(%)M31;X^!E+ixSx1w(l%OewZ+BzjB@InKlLnJdCHmoH~2T?tg8dIfIf?L{<bk
zmP$S^XsDfo!o0~`%C2_!;DI6sDN7d+MsWVj#p2^gDjZo*NS(Rfw==neWrku1*hNhA
zdS5+aFv;M68;82cD=eWUFux(sS7wG{tpVrHjId_5r^^XR8e&YWMmXE}3cT)2246fA
z;)dPcMU(5k1}8jEx%8z$(s4TF?mX&$h`-M`(bYU)#{>qF>Je<r96P|jHcTOK2aD`}
z3rz~9eC}OI8<`POSL$Bc1ySQqcBzsjrb}%deJuHT@yaCLJ(r!Zg>ZGtXidbV;mUKC
zjqBz*y51YxB6a8OG)u78vD<MV%q_`RmfC(Z<sN>ac8br+*Elkf)kvHhq=m;+Gjpc6
zlg3u6IOTs7hllerTQGTYsdq9F{JVj^Xj0c;I4JU3!A5hwkix&IP13~$8CxM`_02SC
zZ{@DO<JLnb;+qNaj%}7h*}Q(f$H(v+BWw{qSUdzPgR9zl&-YjLblo_lpOPob#ym(!
z4>hXX2M>dp<R1c^YvR(gtfkMz9<VD}e$qOOb1nPN?D75JO3zN5slI)E(A)hW<bYGZ
zs}7{%D*?pPkEbkaTE_=7@#?9aZFW?zz0RQ+wHz<$BB@C!X-Kr{p|+!lii!$xeK<h`
zSGKE*3od^bSs)Z4VUdi-lIgvl4^j}}Dtmi-LwxER8Zx~1#wI6WPPgzf%Kc0bMT!=@
zA2(F_UaNgo2K%}S+8o>=;F$eCUttb}z1JOo7L~<7Z#bNGu$7Yj0Yi|{vTn+ZFmZP{
zuOKaXK5i#bw*J^>2(}yG)7qqm`QrMiNGXgF&fuMA&W{K~lOFc&j#F1r*uaIY2ai|K
zVB-0O9hIqCh>j5%2cma&plqI9!K#ov?dw*s1HPg71mpID3$8W(q{wFqw4Ne@otAl0
zFixr@>2vh4{mHCjG@Qsl#gR}D#hpJ-cz?U)Bc|Dnmne<Zx0u_Wlgb-nht3%zRtk;7
zmBOu+M6X%PqdM{{)|j^kw4SK+!GSE8>x=LW^C<d{wizt6TsE9AN2J}4c2E|*$Vlbb
znoMw>$viBVMw&>KLPSCqBzUwgCpA9S`C8Ka?c6ydx54APqg8|iHGh<(;_lIQc*km*
za1E!d+QGHd<JX2KGo&6fyOIhoR-ewHx~AHj8OCH*zH5TaL<aAi8$QvM_8LfN*VeMm
z<6XWm0ltLN*_1kFzcLl0*6GW57h%p}v|~?P4Ge_JSu@zFl<88ExVW+fGezx=xLwUN
zKDCYW4siLhhBp#kXf{8hu`AN=vck5u5Eb8*b>ikXVi7Imtw2jN<dJ4#vQp8_Q9?iy
zYn~(waaQRRyeyZ^^I>w+p9HI<s2COzVRgUkRDt1oIzJMCqT5B^Ay;qW26}e)GH-RT
zL=JKJMKQFM(c1fBfiCv#ZiJ4Z#U%A&^o|43!1^gVWxeM-t%E7;RO}2-e9A&q@kU&g
z*p5MG%bwf89INH`;2bScn17zZXLy8~E2nM5`O}AeRaL`S8L0NwU2j+8g`vi|&IXse
zhn&=4m)o12C}JQ2EZTf#keiW?ew}`XNhXj!sJWMBpUM`I6(RrNt;?z-c5r^YHd2<S
zD+uH^j5mR|tXNh{9JDh-GKiJw+%iLTg@>-W)S0+tDN~K%En<!7U#0QJ%Yt)z+*kMT
zUoc_{)nE?iq&XAIcXmc7N$`R~7M95$DkbmYO3@iCs~nNa7hd`c0h9drUPq3&bU_Ba
z2k~<AV?L^L?f^Vn_8qzGz{2$6YU#Y{ExoI0$CYs^`mJlAif4X@VjiBH-?+K5kg4~u
zAF`8ZOM>G`Kvhm(go|=|Vh<*Mtl6>sG<M+yAJd)@(tA=4oOOiaF~!zc=shO!1flBd
z@P{PB+GrJV%uY?3aTAnk*jeNq2OjaV3r>-XL?QYceplJNAxM&{PVHr{1Y53jjm~+9
zWOj_dLER6te5Pcl@E4m^Mm(tYg?3ejsO{&RGMS28?7Ti_pmqzyeKKLu>X(>uFAzr8
z!-pRl017qv<9fNy?oVFyf*3L(uyApufZhrl8@p1sE1g=YSldzC#f43)Wzmlsi_J38
zC7=ri$P44I-n4h6F%Qkmyzb|h#L5e7-T86)*f?Hn1d}Q6r^l{+taL|CN^uO^7v<pF
z>aufs`tj`9#1?zlxxP@-_<`+?Qaw-*yzBPzG~xI6m3n1=j7b_wBL}q}?@SiE&v?lr
zoD^v^9PgCDZ1w(<x>V^mE`P+wJ^O+bx{s*9CN0^N+MP{}rCA-i`63Zd{<KbW8f%Eg
zlOY{p#(Ippk_Mxjh2GF;ok+?lk+k0mwxA?hT4CScVb0??M}9u(4GQD*e1Sqa!jUy=
z`E(hMB^M<yHF8VBZc=o!HxkI{q1E#>SAqS;Ytr=`gN7h1`*-9uGf&D}o5<_Bl4Bx=
z($SqpO-brk_ISPemV6dA9mW~e+49>kd!#1I97&16!d%!=mc?2cvu>4FhJ}MTT_32T
z!hWHPK+zM?NGW7TtGN}0&e`(1w;B=~cHL7czn{!4yXo}%${^t)2Iwkc!lW!%K3UT6
zTXzWLP~rB!pcJ3Bxmaf1wz`VxzB>^?Z8P@uWD~SDm7ZALM{1X$%rQI*zF@YqPi{F;
zl>}hz7l#(gD*VtG8ZrAI?)Z)873gJT;aO?1YTZcf=Maw<t3=fEw>|?1b5mm6h}ep%
z1ax#D4px)db9%qwL?KGuvYUWj9>~ba!I_Nz#6~nvq%sG#Y<fnJOC?{A($;(-An=`e
z{CGR!2cRYZriSlN<|gpF2j5yf30opBL|gv!(q7S}PS8p%-j2pMskuaw2?(b0CpBsM
zZYIrE8Ueexd!;qSj(zc?{Pg7fcj7zT=L<ZM#2!rI%}b!iktg8zylX6haweO#+mRTE
zzSJCfqJsHy(rjTqPot~e6pc2xNS$tNp~8i~b-psi;q?eP&Ci-zQ@kG3r5HYGPBys|
zYG>PlT`(dnEAzbr{@Y(_5RpVM_ScxI5;rDYq=%*%S+&OQVJ~ZOvBP@;xgy=MTD_k9
zRr#Dky#$W{wzQ*?Lqxd9?V&K)`$t5I&AFWFP5-wpE5AkxUJW+rbL#Iyr=2>+OPY4`
zW7Y8kJiTQ3jHOW~5|rijR5L2uWv=9ZW-=O2wJYwu*xtvtCIT4}PEPs4_Uo(E_<BEw
z{N4Q3;zLC1bf{oayDpwHbWZgih(GAZx_-I6o`oBDWhOXHmk8e^Q>>WnRC>-B^12mW
zvZpUe$C<>~wrz*Gv51ZEr&?P&_>qVgvU^~n8`n1-ZeQiYbkW!9AuVy?LWH=?K^`Wr
z`R@0a1(Qm9fw79F*}R76U`tRN?<d*0@swW0`IuHQCyqZ{(k60&k8(c{Wm`zT^Q+|i
z{+1n*9(;ImM>ldHLN>91*kZB*)x=M#<^xZ0Mg|RiS6WtPaCbOyzR{85^ZHolcBT96
z+bMrS=i{nX=ljdq(uSC?FW*(y69KJiB@rnpq?ni(m)qs|cp6I@n^khDAH^q#X(Uwj
zw6rwoY@RfLzG89Q7bhVh!Px|3VPVnebZ55fdiYvT2e4WrXmUIbGdBPg#H!~9VgoQ_
zBq4t`G{V>E1~WNlE_?v{0)&q)`1bqj6(t45(CLvIudilT&hQn%kPWEgdQT75246N~
z`y$`qowNn~+Deh8heGG$%d@#3qc%Q%YL5dlTZ)Flt)pbQ<zK@KhHmwaitY(8#^U=k
z!L3Py-yW~1S7%duKCen;b8(8XF<n{s;;54}XXw<nqnQQ;VGoZxONpd(-1F=uxWew9
z*EfYX%d|;!t8PD+mTZ2D?ftgVLBm?4jzqHMTSuJ<)*|gNWJ>!}&R}HLhn-xEudk_$
zY#V+&DrYgmlhK&30YZceBN<)DI51PBuH^1{DT9hc2;VEZBn4MbPnNE#JBa$zmMQQa
z_tvpBF^}^Q`DVjl(q0@PV>c>cq%`?#;pqbsY@@DcfeeKFv;_6#0(E@8cIQ~yv)&4R
zMa?sF!9$`@i)qA&GK*fDPNT-X3F7R@gUxqpWfD>$LHr)iCJ8Dzh3hBKeT-De7>Ugg
z0+HG;t9)_v%JQ+hgLK6*|D@`QUiF)3&2;}>PlOih&<(eb!A+CZe<4wFgBZSiY5R%?
zg|H;fR8HSSg@LT%)*E7Y&f!a4b`9Fz11kJTcI2-iwQ&~8z%ul%GN>djlojo$>?$^L
z2}@~=8i9>ARA@GN5F3^E4=3dKLxKJDtKLY`HDe=+<HtogwMGO%MR$_5EwGRRd84et
zTzvuw2?+qBO&VSR^h3%_ftZr_W2mH=nHdc&?Mkx^?pm{r(aCHPz*Bb44Aue-kKU>`
z1On0b?`g1v-e16)G@~jiX#Y`@YB`M7_$VlSK$r#f^n8d6x3{&`84kjW#t=;G41}I6
zRA4eNFw8G3<Si}vwc)Z^q7(Yu$34jYkxs5!nId&V+^P265QZ3&K39?S6kd$UUUuo{
zDKKddfz9W@(dcyP(O8A#Ow$_A%;D&tdT4na3~^Mtn!FE#FV?gFL*C=)vGRR4vpSdN
zZIt#nZA>OEtF6k3r{tHEyXS#r#e<biO*B?ONdg*$2F2u33i+I!)pBu7@IX^=>BTu!
zW%<z7U>X&pT(PK&nWeIuw3!;~`5}(rQ96@i)}(eFKcg2SqbqJ-#D-|Bl8&r_4qLP&
zhQDkzCxB_NY{$QkWbQwxnU|TIoM4Qv3$zq)U}L|&a_ldu>OAKnoR3fGo4r3TS-V|<
z*+xf}=>5RToAedtgmskq^Tk<|6g#QtEh(jMRw<NIIa4fjnx`RC$nOdYOjgAtqo|Aa
z<ov6D$0~M}f|#nzSfxub3-+HXT8cl^t2CfzuAp4y(re|{J8kVbxQI~h&KSCkW!2V9
z8<9hq!nc~t)j8!;DF+3QZ4<&Dz8gt;N6GSL<;A1&Ass@<8TZKYdAvV+?u7AFl5<ow
z6+4m=`+MfNug&^5%o0@Ez!I#p7nm4J8eJ*7(;afJVH2=7wI+w?GDdSBm!vq<`~nNx
zU`HllHCEt0n^r!nHhg&wP|&IO{1Sh5My0JcM7AQ-bdV4b@a*pHK3yOd6EX&*ApzaZ
z2Y#`!v9UBJ0|<Z(cRpW^3r4`4tx#hG5|N(I1BM*W4HQ5~AB0n8Z#PW+o>vkuzXBqT
zmWe5r(C;lyCWF1sYKg(o$%&eVrhjrWdU{&E-SuL$P$D6f-3BK*I;tjY7D#J~N=hD2
z8*UnPhR{HYG-t)x-P=q1?nD7l`;5O-)oF)}1B8YhkH2CDRTQNE(o{e`(>zF2oj#Bl
zBV$gv;QU>WpG;5Exu*`p9lhY^p+<`ld9fK+w_y~H{4hK?lZ^zvdG7bYTu(!@ob3@p
zP7NzT-MEgqDUOW1iO=y1rz<-H)7!4jR}<o4#bg>IUU+J|xa9ubYYmCuZ`*sy9g`b}
z?NxGbqpglZvl`mL!N{%GrLY;RV{v(qjYrAzj`KH48iuU*W_tc8w*-#qDUQfbn2d(&
z-tyw8A}$NoV^Vu9EYy_~e5Pp$O|j9o-E;)5loZAkpt_$dNhV7hhwu5?kC<76HVY#I
zDOv@4*xQ7%trf5=>s@Ixb+9lAac}LY(P}2TbrV_vcDcf8ebM>Kr_x7TcK8?PZOryy
zZXpXx3UBnUvvHzR&Ygh@@8OjbQoDL$8Bgir_mQOYBQc23uRwifU1ua_UM`_+D4>L_
zrC>bCch^j}35IQ>cgEUDpDa|<G9xSQ$|8Mqm8pq8taOI_VRJOS&v#f@+jrbKgjcgJ
zha8i~Ni$H!R;bnGhxWksg`C#MyK25DpY5xm-BDn{w@k~fgDu<!ny<S@JOnEzwxuse
z4;)lEJ{Pzw7S7H|)W|E!!G-oP9Yl8&weKmmw2muVah-kwv*V)Gx?t*j)KuC%0)a3J
zii(aiK2!W3of@mYAE2j^v9W=fnK=IUzky+4pK^Vt`v#EtrA0)b|LGfgzR%<_{O|4+
z88;-K0z8_Yp^`PLOh*%`qrU3*;Q0FbdjH)C{dbuDsx(P$IcMbacwi^MnalBeuOC_5
z`9%M7Qh&E)BlOwE4OG8lD~q%~%aOeUhaZM?Z>TA#R!r_JV#R7-UKoUEQS!`3p0-|I
zfqOHH-Xz#pPwkc)OLqC@i@ngE{5rUbSM1kwULNyZNp-S^-Nwjr35upk^HQ@uQ6h_r
znTR6D-VB-R_v23XGM{-A%q)%6a=hCw@{&iV;_}3|RmpCi_CUs%%i7)*b-mOESpJw!
zSZLIin&;?(qU16Sm)6Fge&>8Wih6|=lr17|2KM@#3bq7LT%M5IW><Xye2fW-zUlmT
zPxUqTZ$Mlh{UEr{iBw>ZSJIMB%KNI8gvR$sP>LZbT^}BNVzsQ8YMq?Au`tQ=g*O~F
zpHe|yO)|V10+!p$`(ndEagkEj6@&0FLP<^cVLmz8)Ye$?kGw6iN9L3)pIA}e{wS<Y
z0V#$=r}On8MN7{{k?-<phuFJl@Fo}AZht0MzCwE*hXr+I!{l*iu{EQ%tlX4AQ2XXU
zUHnqzW{;=}KdPJ+>s0CRVQi@!j-;w2LGsz75vzp)=Vvi?F^I8Pm{VQ*m9i4Ek_fFm
zJjAj;L;Ve;-Ti&j?Y>MFHRtDaPwVQnxxQQ{^JPl7@oJc!_cLN1M_F#A<>iKeR@HeE
z@{Ebclx`e9D@j#aIj}V7|NE2NIePwKGEt*2yM#VIASdE;yT&FY2pJd<ySTUj0@2Ri
zo{+XS9wf}?-jR`!uX#<}UP>%w<ul)!y~N^rQE^msm4-VJy;55YkX3dlNO*Z#NxKm^
zf<(UT9mr4;>JeOSgj#lG&j&!LX7LQw4^Yo*?^*iuuXAB=c)@OJ_k;_1Je%_2u3gWV
z;}pX%aHm=(d+OqMcG<hwZ&&DeiI32dk=wD{p1hE}Wvzo!QCFhCeRqW0JZEM$QeL?q
z3np`qj73l~oaE~E?|mIDX{x8k1~+9gf3!AGGL$DP1olt$rC}6Y2^H1ub<^|LmP~u<
zUCOB?UQhXC{5|43{*o?cwq(zDd4mPB5(W@7D85}-CtJ7)*7@REvX&k=Vzl4X^L69`
zyvTfke8=r>7#p>}@bzCnCAD#L>aP41XFzrV!M9P?7<%q(#_xIioVvAp3ZtDLOSMvf
z1(PY1R~Xx!FfSfmnRvySh`FT?6y^$mwU&3eGhEW%*GH4sAeEFO)z=t9La)-s_%<YK
z1rX+i9x**8S#OtA%4N7n1IW<(Jn*}E^Fx0A4Jzu5EeIRa9U06^iaocbAH8{OWXV*Y
zNoDVV6^brJ%sNqWC%DIy1dP0CQKGkF<w@A)D11g)EQ;@96gE|&=#t6yQK#%9)z^pi
zYV-vpE)CwXJ>(Xf8HY~ruoR{G!rwxyu=vgD3U1Nqe7P>f@EVYmZJY^#777Lt=XbeE
zg?fi;)e4$=g_5Jk-qXN-a!ySK_V!_~6&g1)1z&Ha4_tsfs4}^Cway6kU-qd`t0~Ui
zzEz3=1V3KSd;ORDlXaIRoz}KC4eHTHi?PduNc{EiR(--~V-34O`n(4RSvC1s-N}!O
zt<et!{)sX(V<wKLs1i42rmnz%V>G;RD~`_vjqS<%_u9$X5+)aAXsjiki?o3u(+m7R
zn}+4;^{>DqvLo15Xp`>Yt81bj)!IEQ3m!g|*F-hzUp=pyD|-6uetb%L+v`>3eC0UB
z*`7*dxVc9}C@$zAyvYXVnYRFI@`R+ML0Cz33Lr0eQc_pjP*+3bYI~g<8JMEG(PMOL
zf~*+k`&p3nORR;?Yyf+09vXr(Zbz<46p@#xr#Ri8{{xd>%&b_Ll8KJ$7Z$Qz$X{2p
zQaxnpdT9Y03^Cf-W#!tOi(pu0?VSZ;;(u&IQ(p2yTSq#+T3vM};Wv(Jp~Dc`t93zM
zJhmu_zAmao)!WUTgZ1sD@M;2szuZBn$5?$tITFV*qNDd7nPq&EjwfGb)mq*P*MnIl
zIfkG&Ct7<usOK;gO{jpdAJ#dTV~V;_AJkPn@U_|#KPytpAsTI?h0kO%*i5n_-N-4_
z^b6=ucS+s9)1$~zsdK)4#-!nP1IQ!C@?>pC>&z!Sh)g?*mQ%B6^sed3_f9<6y~1B4
zJ)Y29d%-z=WZqdr|L6xW#|qzmvL)T6Hl3)>ay<vP<LGlvY|9$o#7mLWMbZw-xbwHz
z1(3kg(%>4t9rzD+75`262YD6Vvxv4a7yU+EMS1fyMa9XQYJ5V%t$km>6;P?!^lKm#
zIiu-gfx2y6xA7`o1nqY8EVav=FlTE;h^!7OFSyPf!fGa8<e$%>u(+6H>}ZQ1Gb`)n
z_O^d+4h;aBl9G~C)YO2#;8U0GRJBfrxTNGRAebISb6;*RsOgcDk^P?CX_nHXTNzsJ
z%W^k92P1etRnrP3ZT#jXXIA&*{1pryI`RZ(>~FRMS<o{}p%a<VUIEj{x9>?9=YK|x
zNAipxkMy`eM#jSEZf<7+rW)UoLAM=Easwpwv@~J9OW&GilF0}SB^>X%ODT^I<1)S8
zndLqs9VRnmiGPNp*c`~I*7fK4%Abl8m~C_bT{*=!8B>x#J)`q>;Jmw9GvSG}Bw3)`
zV0&(@t^C+oYs5x7iPz*Jj_8fYMu*RW|C3OTVE=F-0_?icZ9lmbN)$>A?dW6x><S9z
z#aSTPMDjreuYz+Rx!;%_1Fx4zk7t)edM~D7Hja>mUEZp3@>6DsQ3>k)e&CQKTQ<&}
zX}{0?!>P2U3iw<L2p5uq9V7GOc6Nq5woYK<<N#ZwwE=mP!2kXhFIs|KA&-%`;gGZJ
zz%NcSdtRP<WHwXffmFlsY&OGZylm81^@xFN_B(;y>kn^y!MNDcZ;4L%r(h#RTAbQ5
zZ@-I*E@*V68l^Y{wXgQ22UARKv<jk0)<NLX_1T&}FfeVXP5ljd<{gXbfBN25u%wer
zPvlIFL|~_mPPU(UTte`G07Z`{MH>B)2#*LR!j{3Q@lvhvVpW}4Zt~l+D`elD<@SN1
zc3-hn11eoZyt;-Y<^95%m+r>`{>byr%Ng4i1g0EI;`+M>dq_^)Scb-xxDO;%LGGm+
zlTIf3Zv(pcv6X$p2|0a$x10WUu)oi$jSLTO>Dc462H0(YirT-j^4$K)o^HJP7i3>R
z>pMDMGx;`j6^gwwq9;v>9`yCMAzUTU<KF<Djt0LEUt^7-xw!-_+qU4oK-jqwIl}w`
zTs;NgM89~w9%}(0kj$tz8I8}K%I(GwfysDSH%zcMh^hA*fEJ1dEmFbcD*G6!(<Oo8
zU*MO9jRW`}3HM?^4{Y?A`16s3YiZ01_+fXCJBzK8(kJLKo96q@7StJ&nWi&+#>N_l
za}H=TIEd@_7jEo)5zUO$v=N1sFNFnox&uFYKG`D4<)+9{ZFEAM?BI{j>4YenOgl8v
z<+x}JtEaoh!uxDsXg2czZQW`e^0vX%AO3`;hJE8PO@W0?SqZzXmolz3r#ak9#+k+2
zg&nePu1u&OOJUzcUmo&%<RE4y1^z`8|CM|81!okz58H6Xw-r_QFvMrClXINtKI8o*
z(O(@}l8sVK3X?K^X|;`hPwttVOH4?K#ZDj9LkVPJv`(C!jqhVqe|igAsk=^2zGosa
z=-jw`BHyecgu4XAnWW(uL4RknC{)wis(DJOh#@CN*+m!1s!Qi3_havvfER+(Lhv)N
z+F=Bw=O(=B<#0OOYZn5$M<`X-!KdR$k=F7K{hIqh1(aVB)dhlHvH9sT#%jKyo64)l
zb(Y+OU^Ffha^@-XwnxSzukM_WeG=IIq6^?;(4Iyp<V|aTDs*KPWbQta4~@W#*h|w1
z;vCubN09|q;6}O$-D|)H9Af9iM_;CP>s?tK7yQO&F<rB%v~ysWj^d)e>(fDupqxXT
zA`C)0Zcyw?0+b4>X4mNG-N^A+QcRn@7GS_ifTOEYjZpP^56%Adt5}MhtSCvF)#lo7
z<cF;XzJvw&eZ;M$Bfr3x$}u3~3<g5LnLO{!3B0cbhN5soC5zg39sW6wu)hTn3x!;-
zJ59x9XHNz|BmCV@kaGuUIeSOPU4S#IQ(nGUtnni-eryzwKHVtGb8jKit|{lj=YOlu
zAuP=~{JMWIn&_*8g@-9n7z10k8NR+%;5P8i(({^D&$UJ=v5H2$5q@#<Y`x{u{Wwxv
z`ia6Ny1>kyh__4V_yTPdVMA0tZ^4nX=jVb*=<|2_G@Jq#(WcA-Fx4mzFn%#izVClA
z_3+lM7Ty^tE7}9Dp(hB7;xZ3q9akl`$-rbK$vHyY45iiS;B?>bZ;!?8rZ@>=(gfS8
zqYK~Y49{WYZCbK%3J&y0kuN>Ac70eysi~jKpID%{pX-Skla7$-Y!@BQ9JwHB=}56l
z83V5Jo%OBtIbfcLQ1)<sG)k#)wYoy~>KqJ2WOWw^>W%r&9$3@9T(lcKxqRxIksVm<
z*PBVJyyJ6qx+ZmBf!)rnwcVJ0Yp3(Z<4Wz?h;O$^oVV!+Atl$o02n=$c&(K;6e%tv
zaBK{{IE9-9wtEW=4K`djhb;ffNLZoKB;-~)UdNNJKeBGb-(_Jsn81v6zByh@$-k0D
zRm+!_>SYQp5?c7Gt@bdfydy|#z@C%*SOAy*S@x;TmfP{dak{!=@(v|vXd;cJWQDCB
zo+jgoZ(|(<B~XhLL0<chraG(Xk<H=rsjkSnzP8u(c~HsreX-yJ-7B%;M5U3SGu(r&
zyjuNE!A#eug~)25B1RahxA!pC{<@2RFcYhHz}FXR5YRja^EhyDMWNxEn|73OaAg;k
zC=|d*jq=mxzeivCgWn?}=IN<Z)jVOzq*W&;#`CC};P15Dqn}DA%b0`sUikVmdH+5h
z^YKY{Co{Iut3~zo#wWnyiYAs}zz>BEGc(X7+irs2-ys+I{lKc{$+R@Ww@~?hP9<w%
zV~ctaGPcBEMW2}zJ$?b=A+W?u&R!YmiPqja4ND5)@*Q6uiNWRum(SlWo)*qNaVCu?
z%TwUWRp8pbVhTigSE8OhbZn;y1{L9sRCT<p^5n_lGmpXmWMyY{YmI2G5fpfIO7*IV
z1$2|fU+xeVCU;msCymu>3UJ(brzI2ziI)+)KakouRrr#$oR*wLixr&yl-wCjyKTcV
zIqM|Y?cD5Bz=&3K04b&6BxvyE=%;l2U_l$rVHS!IElrEjX6Z?LmC8L0u`cgy=h80r
zE`5h@Yd;`|4o*Jm*I)yFTHD*%+x287p5tLsGQ#ir5g4z5{m8yvU0P~h4;57-byxg{
z!|mU$9sqW=N`-1#6E7ttWwy_wMnf}orWsS3_{bkh;&DRCrgWT*gJi9*P<P_8Q{>-y
zG2Nm_A@}-k93AsphdM?4gU^g07V-E;()S)ngA?JQ_h3Sp`5MtSIs>qd3Hx$?if>-B
zMJw9SkC3laj`Q?iVV7Y^Pf%}c@$e&M2#C4y`^s|vIqR@tE*frk22}P;*@Kk12U=B{
zpUehz>nNB4nOay`8zd6;F}rqgXk~1c5;c>gW&2DOPHqa79qkL`S`c<kxO(J#p+l4Y
zc5`YsE6jJ4REVkS>2(Q3W@wsVT|A_199#kRGI-sOeNdbsEWKtBqANers$=g@Ny$=d
z50qVQG1j(p>XSFfttJSb4!k{gsVg2~nN~j-P<dd8#=c2%a|GyIku5*S8n1*crpf^#
z2sGOnRk?0NxD>zCvczL6_dQf@<7JIhvmOG+>t(7jFQA-{&+0mHuDSJ#;G5Mwo<*);
z?Mo(}f=4YLw}th?j@)_ud`Z`6TFOBeUICZb`K1kFQ>Uh;YMTT%;S^7nfQP4-)7RG@
zcsM^lr$AF*S$UwnZf|ebZGKMzypNBM6I#^YnfnvKIADQ}6~`w^;%83=WH?Ipgr(dU
zsI%Htnjpck7X1+<KKFN10=$h-WWN^ODhz?t4&rcuERxiX8V<XvE$cJ;pfRRYX}YcW
zA;(j((ozg~+jG3(<!EN-n<pdjAFM)<+}Aa~!_k-K?TIL3FhXPM>o0#asODRbulu`A
z&rt?7VGnyaR(SZ~S<p-O5}HNd45t|(J|QAR8#)S8{u4XTa3m>P>`g;riWUJR?ZKSk
zH2e2vUjUCMhHb+hVY}e7nQl&Ktr}HY!V7JW=|!{VmY1Y#1LX;8Ex}K7Our#m*OC-9
zbORhaPxsG7B}YsEi$Y>UUS^_UJuYV;<V(ZxSMRE^dQrqbJ`KeV^#WC@tUAaox>K+y
z4??er(5DLq^(g&kj}Z}{Y{AV!q`+fx8M|tNQig=(vw$k5or%D^&iY}J@#C^%xi3-4
zDQrWF*Y^%53a!qV`t~k&ZY1z^|9Xn21TruAB}(WSkjp`knp0^z>6quf<rz7&f{UP{
z1_L!!BM)XZPilO;ptkm&-^c%$8LWNQsL6CQmcv&f9*O%zYBHS2*Yq-$CD83LgT9K!
zGiu{Zk5kBHkNZ4r47WP$0anoD)8d8l($e0Ei70M@kAQo;yUJ3huJ^Y`1<MD|kZ#k>
z{>lJ*a_%D@!C=|3-l^Y>fs5l3WyXr$ltaHo=T@eWIbglWB>Kt5&=*zedZ;4wrV48r
zUfmm3U)_2#un1Sf@!QN=jW$pb#J1WIuaWnP|4fp-1b-=Y5Gezkt>3s3{43KT9+L@-
zWOPxn*`C#G$0gg_Mee4mkx3*_r!GFC>7nVZ;5%x%X!im=r?)6W#Lf6KlaR#Yotv4w
z$vv7*@T!(4x@TqP(^iL+Cx==qyi@T(1UN;sWf&vgp0|M%PcHJD@y9DM43`^l4)DV&
zC%?!R_%R>qk*bKJ>f6a~%afJLtTrXfFOmT1vHjU6xa=0K^!@kZ&a$#d5lT$zTw+QJ
z$9GAw+G?QaOlE!`u&U`A0xFU3#6?hWa9mtmU)R&-*m|22<BG11PE=11KVS&$d^xR{
zsCIxp>ao(f^l0EBPvP+8_f`;i0`|_o$HROBuI48gK*Xx$q+9SYmJdf4Ea*=r@%Q<e
z+38UFvh9e#(9n=>L8oF46;1ua-I{0Mb<pw73*mc`-oO3hy3hY4W2&#s>BA3FlqR(n
z%3QFtl{p^&!+`R;?R6)gD`$GNqD)^-;cHJZp`p`enN+k-#}X%?o*d~bFmSvZ3@U)x
z2s7po*@pizleZ^&N7ALja0NS-hH<onU(s_7Xlj$ltek9?@DA+ixK%vD#xh9@jqfID
zqZ^=b&_<*TPG|Ptz&ghi!*ugwm0Su5N?uf!GSK--NsC<DVoh4qo}56{N#MW`zK-(F
z3V;5W-i*59&bQ~3ovXt+FU3qRKa+dg<|<gQTyI`18F3!_wse}Hu-23wNN`|h3`jGx
zh;ULO-xf$Pk&YY-YFD}9dM!Q1lX^Y>>w9-}BmsQy*Voq(%{>4}=6PCoT3%Uk_<Oxm
z@xrjO&NwWZAg!ng2c6{dw|!m?7oD^Qs_#})8-kXLD;+>7OKxNfJ#e1^U%5tuDYMCF
z;uu59Dna9KDAn8=T&WM<h$!k3_qU9Sk64;dOXXt5M0bR3S<haN;TAzQv3R;UiOy==
zOyu>rq>x5oE>9u_%A^vgqAS9-GSCvx*l(G>vBcmC<G(J(PDTwwK0Hqt>jm#zK21Op
z4Uq@M`F5RL&iMZjvs3={LIVMl;J@CE8ZRYR&tS(9N;^kSFjv^?&$GT`3JCBl?=Q$F
z3&CHn=GH}F2!L!8UEL*ae<fF{L|0A2h^`0<bLx^13ulj+TL@j&Yfn30O<<4ydm06o
zI`ZQRm-&xpw~SW;ugM7@IN0b)a8eiCxMc^G81ZK+$1O|9B8LCyDvPAqVE$#rk)ZZ~
z>#6h#Vy2%3QTMOEFJ3PbEd|_suD9iwe@6<TT{5+z1*E@6Nhv92oT(bsl>#y3Z!9bx
zhiPUE<x1z<+x7}s<x6^gT?X^YnwqQRaOJnRj=-RUxUMci7MF`*UjX#|`3hQ=>@cuT
zJl<}GXHJ~Qvw1V7_+HP;4S_~#IDkl9E<#El+<K)x*yHZ-W=@V@K}UzbQ#YOrpgz*L
zTxfu2j0`C8O~#+-Ri&i$!QWn1K&|bZv47u6nvq1z&3?1?KMs$Lgs*iBvCwhFW7#p{
zsg#E>S`E6e-Gfe88omZ%PDVJ~8A>{1!a#?hU7m&qZnOm@ho7H1Ml0i+`Mm2QC1x>M
z^|*z`m}oAG(;zmj*FAht%{OI!e2nLHh;bT0cFatW1^_h)0X10k_H0ywfmbNcmVB7@
zX@zsPm|EUZZhuXf%Pm)3>vv{BjiO2I`qqfVj&S}G80vaE0Nz5zph?%9De$3Jd5l4#
zx8;5Xl1uf)X_^6wI|6DS<gH}`Wi03kitS$*U!&c*e-|h`vqkE&jEIsMf!FVRG3WSk
zVVP?at^XB{ZjGB`_f*n!GV|Z439hXkwLf$%;7|a1WElqspZ?Xs!Ql3Gu6s{jumaI2
z!{^(B35IFk=zq@0u|*Oz^&`N{QfEAZdN`FcrRTR$!{ubFtU4Tx-v*3XwBAi}12k2g
zC?~z3l#KpF`fQFy%i~^}omxFbn}>@fR39E+mmO;0E(x&UuH#!PX_z5MhTbL7Z}#V4
zQx}>>XR)hMOqg!AF_-<@y`S>eJMC+g*dwE9D``oa-dJ%F9_uRh|FAvX2%p<TK3qxV
zH3yWfy~of9Z6qOE9`v*ENq;(($p2S;3GvP+$t`4*aYp}Ce;?er&BCKwi_VKvd99of
zx)?q`c5|qAA})FZ`}qElw_qfnOSD-<%ggifr7V0%=_2^nnq-;`cN*tkY9Z?JWD{vR
z+euFeGxvC7MGL?4g@wbgNb;*~*d|Ol-z$fwTsNV6m+iV%4E5jl?xU)rVFJJk2%4?O
zpLznu%)pn#-^42!2)g~Fqr1zFt9n2;2jbts-kyk$FFTFJ%n^W`x=OqzfOrs;TqQzT
z%i#R>*Wqw7Yb;+R;?KlH6|!)=JWY~xCTE=2RaXiyF2GLKx>}x`-m6%VWc~N?3U7>h
z`w_XP!G%+ho1_>8{)mkKhG_u?KYZ-n=uCdK%6FzI67g8du7<Ne>&>B7DW^)$G+$k-
zZ|9dYJI47@O+LExgg8-Wnmy2da5)uo#c((K{>non$FB}aSxp<>6%2DZ@$V7BLUK(H
z*%zv+EAM9VKG1zkvCbb-Hdt8ZYI`)XTuz{>-CH^*)JW**F9+#O^1hq=<(BIo$YYc(
z5Bo@SRhLY<q!MYu9jVZa?o&2Bv#;?FVCeoB9CKizXp5d`n@UjYxcen0<H7))+3P^J
zj4Y%$7}$>~QC{OgIp)c9NOJZhw4pg|TgbMEjRr@zqZtMTXf)PU6#g#JBgTdc<tpP@
z+$q5DME=qlZoDcuIQTlyrvTWVS6D=3g+@5SvJ8&yr-xH98rr4U))9Zv<n#;Q@u#Y#
z$?q}pDkVi9euF>`IFHbxV5Xx9*p%WgDwT~KvV!Zx&rC&4>b>4JH{|uUS1rSZzr|co
zb;_j*?NaGjR<z%a-=81e$S!Q~`UERE*XEa^e()%W1kY9g(a!X{2F<}%z`Zm}ft9S$
zxlj#LQNAU?rwEsN@j#O<+Q8S(DD?{KzCPQJ&@U!oVVG_)<vS;J=E>PY4pfUR6nF4W
zrE{D9YF_eNJ5RJ~@vi9`<HAcaZ~D3jz8q$cojk2J)ogJs^BKx#?X6>B#@ET9j>w^<
zI&OyYFXv>T2n0Efl1-E&RVxx|bEr%hsVCBOVq~>JR>Y|40n_zO?NE!szak<ufI+S;
z?>j_lYU&@LQaXuvrp6g4Nhw)<#0%VkH96`1h$immsZ;!BBr$Wb->ib*xoY-AQpH=7
z>jNDgPE#-dG0fVpa?zVu>Mk1MOf)%wsn+B(fVuz82V<C)Wkn&izwsL7FPHoOa1PBb
z%k<e0(2zdd-}?Ep87}kwes48$b3KjhD=ZOC89pgjj+f#{Q1AjtP(Vvw#&|}2k@-Bh
zD!9q_M#ENIerCJ0icWRByO>2l5H8FmwwL$Ve|b(tmQYzT87t+n;R|o2s-)Zzp8V~C
zX><=;Q0GcS)YNZ=5|8#{lLS<XaVgvyN%3QjP|oG^qwA%3e7^50u_lu-$=TzN4asRr
z4YH6kV0HSNzQEB5n6GHMK%C(vjQj?s5=MX{e8jlCrpKZ07p9E_us-0{>VMrvtxmC?
zV`^;he@#b+Sp@Ze56$)r0+1uf?`3^4@6$xCLU~({8WUt!$8;Y#7Usb-weHwA*P9yB
zF&lit3N~8F;)-EJAngN5CsZ*H<}|`R<t$>Ply4}n{sOOJeXjB(^T@p%<iYfk!@1HH
ztKA&)k^R0bXr_<b7oE3`fgV*Nq?f6@Lxm$soHm^ySvrrO*J_I9u`tH0?$KT>xg&!7
zA!0rs2Q*3Q2@hWuLab>;bBTKEkU88x3oAZ>b?B3oy?c<4Q7~Z;<01)dP?YL`t3Ta5
z>yh}AYa{$8A6;nb7Dyrt&s$T<W^MzkU;vb3M3=f;UuxApc2|6HGy5xZ!OrzRfX(?|
z`l-8eMq<<CH8L_1hN#F|%Sapec`dKKfTVo9>RWfUSiPFNSCCcm95x4-(i6QoENOVX
z1D9jn{tV4D**eKd^d>i8esZ`q6qHAPad#uq-V?%n@^^l~3X({sUQlr;<jJ6i4%NtV
ziWPW=#kFDCY~pVT=JkgN&#CV|nhH=^<R+#aDWA}v9QmB<i(V2jo5Yt58Rm8-S!+a<
zjRbk)h$jqK!)MY@|5S_}n48dWN3_JLr3~2UCS!;1m!t`cU9~9W?khjTyJB=(#Q8Ez
z3EN&ECC_IQn$#%3pzM5u@hcHtpN}hD;2>H-7I5`J4Ahn?VhDU&?J88OE>?DXvj)-s
zn?<Z8$cXMOFDu&#CG^$b?DRmSMaxDg(Q2_BPiKn&rZD#|FKsKn(3cm*^ui<G8sEUW
zH5~RjWb6D5tr|dCMPZJT2g5=~8RBT!7%vHZ-vxoRZ1AJ)5qU1~SG?8=tZ8{hm0rKD
za%HlQ=^XrS?Y;bbe<2Q=0;a7JjaaaC8o98)khSA}!1tJBTR18|6x6G6|9}&!y9ktK
zKgaf$!Ya8w3Sb)@ZblFgbcIg~?^Hipr@ERmVNYW>P}Qu-`A*PCT29;q{)(^e&e=QR
z{8XSloV;!}QeopU_b{oDOCjt8**7V4?RXrNFpC-N?8_!Tk{Vjc59M<9qvI=G>#t%g
ze-i@Wc1`w%qW+<oW~4!y-=F@orzSpC+N?D*+imhB(`$(Win`G3=*C8t#auD7)goQH
z+m&s^bPz(JS&F=(?!dMz%75CkL!0G^ZP~c-%O$PIe#_zJ;w%9xCMIScS+ZKqGE^J-
zV3&paYxIv8b;Y#qkgG}SqYjoeaCzFq$j`_9U$$hOpYAEO(ZqtB%tW8J;O3XG=w}Y^
z7I&7kOuA^Dm<<f|G*DkhCn@9lvq&WF&*dVe@W7FLf$Bxkdq82l5;UnUU3B?LgbkOv
zR5x0{_TA_xUp6;mizg8tbF>LoJ>%i83#MfYD;n3Na?PIfLwm?8&pdNbTjbDG9cA{Z
zJXt8Sc(l<O|JWFYK4*9(2*J`1TB-OV028OlWbEsv`(Bi5LN6**-bI}z1T7_HC@_wg
z{Cs!hbZZP^^r@!<;DJymk_j-OyzV$gzr41lMN5{4t!g8CFewrK`4YV^dBEada;7{j
zK{*8ywEuo4k7p><PNA~moG9kK`Prgbwy|YswQ$E@r}}SGi#v@70B%lNc~wvAs@drV
z->mz$O3S^rsm5rG#XL3xpR}s))8`78GHqKg%AE^xmWa4IT!^Qcp%{k++_@1c7SB{p
zrCs(H4(%Ji1>=ioQBNO0YO_8tO>N7%)%48GfRK!hA2ED>*WD6U`syAkmUGKm+&rt`
zC&8QbXNjSfV*f1h5yMm2P$=~Z7%RXs!C!dMhPOhF(`fR~T*dz>A<g^GWnG;nf~M}-
zmA&Qr8fDl09MWX9WcV!&M^p<M7MA57%msQT5|ZDH4fG3dId04sL!0aT^)Wz~s@im<
z{1xahuV*+F)ai>+n$@;0H{=Y>nVyCo4(EgnMdlZe8xpgmFQ${QQ35?4wqu%+N;Xz?
zog*(qhD({v+t?}@^P+c*=Zn|4D!<nB%TK1iVN{Ojf&WA$-{AF}ndsu!Nf+;DMG@u{
zV`kS!g-OUZ)Ikvi>Ful46iT`!!sTu4l_M1l#ZI+XuBbB1+j_t#VNlZg?idd;B0fEH
zI#Z5&kab6I*sDULoZv_%u0a7Iwx|v>G?2Ri;nEXWw(Q#1f&u_jyM`wjS=nZNGGLfH
z*=z<%RbQV77*YNKGN%QGzN0uc|5R!;U;%^Y@njnHUVWb}Pn|O-sq&q|2ql9d0?SP3
zxak{xj!IA{Ze#d4R=Du`L;=n-eAC?6(bx>Y#6{mKMyZz;W|levtAtQ~4xVVWkvAff
zz6~)mf>^Xd=T5PhYCD`MJEYv$*D=e&i(AC}47Is-_qIbv-%TNOY%TuIJSsms0-4gL
zBDSi!)|Nlm<rUYKo67r>8@^1g694+bjQA<I_#<STjxN|~Z>)di8lnsBkDi*7kYLe?
z9R8lXLmj8EE4=`sMpJkxc3o}lNV+jV+`H+6B?QK*CuWPJuvtta-S4bLy7lT{xq|~b
zLLVDls06v|{}mZ7`~sujDVvWB<TXFV)#T>kBi>WU)u$KNo!6CRp*UODxDs6%JDL+E
zh3FlsZ<>*cCOCC`;tA`&ULVF`KEJ+eSWn^gm&GH4Pvc0gsoa(`yA%sXC(|1WO%A+e
z^5J~vM^ZWw`qMPlmx?_42|b-#!JS^<mOEg-0eYPua##zTQl6aT*}C?@qEQ_%j{P%T
zudc4r>Iz@b0;3|_5x%&s03cchY#%^p#dGr;&E3mOtDd`0P}Sypq^zC3<Q0@wC`luW
zm#pc|S!JKtp7EJH6z+?y-#2&(Ls79fVY{ks&PD`@_*PoO+J6sdW3a?Qm20oqxy6Ob
zW;VZH{ynKVCo<i6UXlZNTDx>*jz$tUy2<;U15YO{cc3zXw`^Zr>Om*!a_&e1#CVWB
zy6qLw^M%;0_NVxWssY<N&xg~&ZlBlMmX@Afks`$vE^UD?L1%_DP>aAUu>>HM(5(dP
zlY1%tKcc=mD(bEK8x=)C1VOr_8$^0&knZm8p}RpvK%|tEmhSHE?(XjHuJ_D+ervsd
z%vz}Ha%awb&pCU4YJWbyvg;Tcm;v?7L3cfJ-5;{RnFlmb^5_XQr4zR3eYUfR6icmA
zq0YD&$1Z<+8C2#(_54_SmW@o@Ao9soGhj6HfM(HOu#~jlEx16){DcPCltb;7e6RG#
zP<{4wbP{f>?v0I{1r>0#_ev(0IQ^to8A{>-+A3mp_N!laKx+IR7Z>W64Ne6*q5dw^
zxQ#yYIk@Y)>t}4CU(93&3q+_u)6<2BxU;-T{x}Bh07U7U;nA-=h2ZS+3ZV_0ahwZB
z2dp$)dUMGY3L|xjS*vjHKAhf;|IxWY@G+7RjW)(7pqz%JWA4S8CK1!q7pOC96S}Rx
zA02H^l>*PF4krDoH>XJ2A9P9?ISq|pIz>(UjlKv$)CiT%+zr1^do}z!MQ0!%QWD?i
zy+?%OBg;At8)=K3O~G4A<j@0{o5k_Xw-@I`IDLulU)=1sYk+U;FeBP@w2kz6g<!~F
zI%wUj!k-az)RJ)TbAcyUMbb2v--1rqc&TqPrCbdp41|an?tKC)kl(t?XJTq>%w*X4
zc7A?-8w6OuJc`@HDbhOr$ap3PsD2dr3*H}05j@bi;OD@5B8a`q`YS@!9R31<sh8sL
z=MHpF?uSJ=D?35KNb^rPCX90OYtFPrh8ekJd9Y2SB^l;|H1xw_#0<2{=Htl7dL}0I
z%U?IRUl;&OL*+YQjB7E;k86f_-Le2XzX_1hjgOCi>^sF^1bGK>#E3B`7hyiceV@xj
zFTj%kb}OH@6zPX%_yjsyiov!i@EA=I*HFcL6a{-W9vKd6P$S0Wb($sFh~j;+wfNqt
z3ixjc7P4l*D(t!5pcq`7mR%mqbrtKk{beyn14si{EN~>Mm`=b?1~E2@0V@TF<A8O4
z`T2AJwxEdEDaA@L&dwdNr>Of;xbp4i#QsZ*SqF)Hun0p4q5qVqs;L!%jm!!#3FgAc
z#OE<7!YSxma(bWN6Zl#Zh{UUyP^HYOg=G1vjc;pUSfChwnwWtEW3B-Gfl!9R$=y*?
z#P8qDFj=X-eo8?b$P6jQ&C4Wyyg!o#k9<!!Ijrl1fAz`$sKf@qmO5YC^`biXAcZ%*
z0NX=9!IuF?H(y2+LFb?v?D}M05S=wuM8(M<caN<3eS-6@Bw}CeeBTCi?&WJ3qPAeu
z|2r;mqAF0yxvVY_GJDT^yG<HO$kS_8wctNuw%+vgz&J880?Z=;wU9sS=%A7)gFeqI
zEPMylKK}0rpaa$~nQxsI1kPWPDkA)ZuzbJRmmNwGp#*oM3nU`&JX~S5;U4T~TY}JN
zOw^VAAi;cUa|b??{V&nRuiS!$jHAm_^pL~J-f!6jfPGUjs1)c&H24Mu#T0y2po;VT
z_5wixB$xCtHc44p(t%Kdawk{t4PhEj$cDXt|GvA_a)99_(zF9j5UPy}cVdSlLyNn!
z3Fw!e-#cGZLAkg@0)85qSX7*^6YrC~ME~wS4bE;^)6a7Gv}97~=CFkT?eTD|BfN!m
zF>E2+J8(4vhF8fbC`#SVOuQd1Q~~1M-QT|s;FV0%p(M-s>XFHnHvkv>p^UCpwdBnO
z3e9}orp34gL=!fj5oa>-)sYf|-fwz5OOM3h@Hmzp)d8ZAB#x4FcZ-VacA&ZGhkt4W
z#V6e4I=)bW9C|@u1vqy#M4WI3bNN4HTM<a)8MT`2p=#vg+0_3TA6EisB(tZN*G!WS
zAE`*N9>^-e=W!qZ?_K<j0`EeW=i-BQo%06FheJ<40DZv3!a5sZU$O;q)X^M8N)}w?
z%gal6P~Etl8hHc1F-4fy!^PAevYlTs5tOnT2cDJ(!zWraxx3gi%E4bz^Rx6>Th&hL
zEry_PUzGx1#3s5KY-1aJisjIj7c`aS1NRGD&}bz|-{-c6POzkGRvsfJWa0vmdm*r@
z+V=zEOBCMgkCd`W>p<<$0#wrgJ^{BbmdQ|()!s2UZ2CKM_tdx`kkhSXpVO+QhmapX
z;H?`jRNSu)LxO_(jKku=G30cycXSliqGwipu)O?LB7=mBD}I09();d!9i+VUl^XZi
z+Cx3v!zD6+0<ElvH?sG#g6z68u`8A(6-m481>k5a{%alYj4*w<gqPFoQj2Rlf!dm_
zbhVqw<Vtegzxg%WmfBGlYKx~gm)GB{S`>p~8_LQL_?1o^2O1@XzZA4tOBn26hu55P
zX(G<b)%z7l5;{hoB|+%0h&c-`D6)~khZ<OVyku7?)an5jTo3q2)_cRS581k_9&>)~
zczSl01AJR6t$wO>Y*gZ-PL#!OU%dzn41@tm!Gt_<-QC^(YK!iB^e|`+NIzYdzahj0
zXZbumTF#d5)UKLIHs0%VvA>gDUSWEud1~SVMOPW(xvlX9Z5c!D(HSe(wda5gp0J~r
zw<i=r;OmKJeZ(8vlRu=f6|m*D=i(r=B?kMrL_XG~;D`(Hj4F>uxVzkJ%>Dwa*ER`e
z+9DQS*?Xt~BP#TnGe)wJ6u+wHxc7(MQ<#OzsP&7tHX-jjgAXNoIxk<o1nNH>dum$R
zGAA>z8BJivCD2*nd^UPLF);y`Jprw6XrSkHH*fPt4k`4+CL|mLAbf~I&N?_$^<WA@
z0OtPq@k5Ozsqf^<ZevUK$$7-fA?C4T-k8hsgZ!EVEwsCrG0oIy*!ap~pa;ERksoUE
zfN(QE+ACRk^$Ri6!WHf$<*_~Bc5Q3(ZF4t!BS}+zZ+;0CSzsem3g}z}u72_hHt@(%
zV|-8^FTPU3465AU5_1+v>mnRrNEgZbKQD$!NZ%|&f(R9w+JUNYVrYFYjr&X8#|Kff
znp|W^X&$YZEehD0&x=1<Apw+~Y19XQ$=K6y&vrJyAwxVEB_X)UQ1=w7xfN#c-O6gQ
z{wDm3vbcDU@SRq*UUXU-DQJo(-zkDi%>Z0#?gtf9K!8T_`Ez(t<Lxgz>*{BIt*6G-
zxRN^BW}pT0Jn6uK+n*`x%6yaWP!4$^Dmz6fd-{t(IteaY*;%Togq`%(g=}~#Dh|R!
z-DR(KtcjLG+0R}eODukVh$itwDDN1EOg7!b>!y&!`cGl@WPAFVXDQSpt*df#U0mLn
z)y3!5Fk+6c(S@Wi^qoqev4R2RVzt)?IQO(a%znn$!6L1m+<&L*&<)+&PX}f3Zp^n*
z06pg<{xCY$korCL>i9!myM?#`ZVFuS?ev?&odw^;#+H4CZty_0vZ^_4V*BhRh_Q#+
zf)Z&ClHhz`WK78VivErDf+c}Od?l|B^4fEX_j|m;Fre@=h^rwJf6gGIBp&|7)s;iL
z*3rD0jErnJMJT}k0fa8iKF<TzjN3g%aGV09;~zMAC--kl@$m;KiGw?%OM1n{)mh7Q
zHAmN-5j@DB+zy;qQ}0K1kkgGZ)>d}g|1FN3@4fHg<9+budxDrmt92sp^ar7YzG~L{
z6#hr^SBn`5OY@7bcOvH$S>>tPWU>s7G(|s{{W8*x*6pZB!-$d+tV<fn$ljT5mf804
zvf)F-3kn-E<2!W*9Dv*2-oR9+))*UMXx*Nqs@uS>9DXbFJ?|{*AJwN>qdi-Ayc_!|
z>%+r|#5*p^U+^ll7s9&?hkN7kJ1Z}QpXa?40|brk(K`UhW-|p6A<(6CDhd0g;LF|-
z!Vb?4P<x4qiJ6HhB;Ki}jZ8yW0PYh6yLU4)L9I5H8m`(bTv33AhK9R93FyY_Ygd^>
zh#!bk5)cr0OUV5<fYALXNb=I89z7#$uy}1J|Cnxyb+*pM_eWJJkgTOVu))psR!_&%
zmIWbfLr!k~db=QxSR74McI&LIx50AJ>pR5C>$JT`egK7NDJZ5ca{;Um%UJ|b{^V4x
zFXgqHYA^Yfs)bYi$r=O_a6LlY93Owzes)+CpN|<spAav?kt&G*&XF#}JPWGa!j$Bu
zzuzY{FeWDClvIUehs0o)2Vc^R0ADh;|4oR#@Zk_>lLsJL-ai|4Uf9X|%b9nVgHs#W
zbNgd4nH0Z(4WvTH=X3NNlp-M736r_^&A<HoU`~fkxKAM6#lX-IZ=nc;nvsfzF0Zfu
zP|4f4K3Vew7aZXBBEWe(6GyzZQK-K<e0#Hh<k^_1|0{*AZFQqgTtcR+MW>_uO+)|a
zQl@rS&6S^U{)}@vvD-^I#k@75<ojn|M`c<DyxQ?SBy;j7*lGsM!o?x-PsAMkT?-QL
zXC@CL)UT_d$0IC_(ClH}d$-jOgEStiJolEM;t63hN)${hr&J()^slUJ*v1B&st%#o
zf182f3585NH7#I6#0tqOMoj0;_u)l#)^Dt!@GjS&?~7rqGO3dO94iIW@2_ue8rawj
zQ6_uZ_wW)x9G3yDzXqB=;E0sh(vkwf02Y(^DPVtem-f%uGz|cIrESL}_%$Gh3`@JP
zqgh9uD#{t`i-=LNg1ja6$*^&p*(q+?1tk^sMDCfy@NYW0$>UJQo``6%g3=fNWNfNi
zldRh6FJRqRz-=I-#=(q_%b`fLF`?A91*{A>Uy8hi@H3Mj%yFPS`<Qq6w(;E~RsP*c
zv35^RU+SQm=x>v+psk$c008$<)6?L3PXs6dK}g+<+68*AVHi*6@k*N;xZ$Qt+Ai~U
zc`m07L2TahuYh$82C8wL(jnkxhjF++0|Nyz6rNq=QHJ8O{sP$ENS%ufoQ}_fQ*U1%
z<J?jLr-QA7gGII0UJ=y^!E-ncN4mO^1B9W)qqUvyMKOJ>7j~@nNPFmZ(2T^6J2Zw2
zm06~AhYxTFqxP2gAx^L-m4<B=6wYjs+VTSCRs_D!TVcg&2yjK^44dz)O<ZrAw$w(a
z69^JhZy$L9G{byMMm4c{WDtQIb{Begg%NE5g*zn&$6pYscLwVBIS3ipu4N@q<b0T4
zA9TT`fB}8=4!^tk+Y50isrHVIQ}Jk3U9XA#67GldG0)qbEI3c#9hwIOoa%zVukVYa
z`m=Z7SxyIP<%_*32T;ke*E}IH);CAU^3K@SrKYaNg{!qZUUZC=A>qpY#fVl)8N-vy
zi~Mn27oYJ?MRA;lD}nVA&b98>>YvKv<?KfAj8f$lZp3KkRKDwiwnKkBZ{8d;mpa53
z1um{ET8To>ufwaBLz1SJW^|30g&)j{tc*(a2>Z$|k1e<GaF$vBS_$L9>VS$GTb{&u
zw4WD$1))1tFlg`v6bijQ=^~0{w;`OXnksthZ5<_8f|vqA0s}#1TGaG-D=gV$y-*tk
zzCP^}4hPC&psJhkr}lZeooaFglzUN4f%n5Ls}`Tv?YZ$)MO9VT;^Jf69i(f+vNgLj
zx3I@6H@CvImey{BgQX^nbKXIck9&ayq{4k~n5UbKvCR>%dq2;W@BLvpzHd@ded^qC
zsB&{2`UB-+uMN+qa-LB`ps>&~iDxhM?y<oN;c0OZ5+kSUedP$bxnY}MjQZ1aeiSo9
zmo(%;##G~gk3xCAmUBRBg&AOb&?qKuprs~iBC^=r6#Dbe^Gc)UFDBAV#4`H-Yi5^%
z#Mw|cxh24jwpZ$~C9^pY--W_=5Aykx0rU)%OX3j}C3-E-@kFU!f7jDdk=8>d<euJa
zdd_{;&s_iXcn1fwQox=9wva82>Ac-1OLyO#9xq4#Tfv)4Xx~HNolDqqp?DzN{mm4U
z2y(EYK@o@dl0&<J7vh!^;^kUHU1y4%nCF8j+FrQqG=wa#))rSE5J-t>tk@ipF(~{p
z9UW;TtWXTn)HG~-9GMt6pXXXyzyI{m6zPrSuxuVIit0O6%oxavp}lAo!okH582ZQG
z%FQh|M@^MqNKDNf1k@!Fak|6XB>_l?IU{>^B~_G@U2~R9KmkOap=4I^7WrqX6ICm#
z1jAs4Mv-B$E+wphoZKK>ZQRy(blwq!ZU_KG!o+yW1brP_fA7-|mF(i;-@v>3+2v3R
zw3>+HC~pA+9gM^54<NZucB^0BzVZcF>-XVJHP&wx=3^8V&Mtu<D6dw3eFAKeF6JR_
zhXt#{c{lG5!e4$k@%}U$!rWD%j%Uz!E+mXnF^x@KBp`ioT`PG*^#N_^u{5ZL@3G_f
zv7{e=RFSMW|6}V^#L!`KaHqh)C;`IF715j(LAZ2zruh%Qi3us~d&9K3MQqN5o)bGb
zCG&~|2I?0143gF{-*<~T^Wnp>>XJU@Vqdk3G|?bTru$TI=OUy#8OGZoA|%{A)zppX
z=&J^9UJD}LV!Vz$B|}dom|uB`Tj-M5I_OTcimc2{v8R~)KZelGOc)?)Sd?dd3~KrI
zzM6_4n}vm^R;{@HXsn8f7D^@bAo2@7`X#`&1`CMCUXKN@OI<)<J{j9mx-#el4XjJ}
zg+coX`z>->0Ss&d%l8*(Q5F}seAGT;&vv!)0%(a5Ja99kem!|0z%)54$$j@%S9huB
z%zHzPg6J3>_cw4MB5mL#9zfs6NYKO>?x@+>`L?yIpsW)A6vVIgo06#BmKj%+wdpao
zA4_sK>l-0wtZ3G|XB;^b<J*oVN2=La+bg{>D2u^aW$1aA1RDj$dtfaG%A?JH43u16
zi(?*g@hga6c9s!I2rVpJ+penBzI=6@98dA-H1Ec2D73Ji5Dksm?Z&grgUCWQA^p-)
zVP3spbK|{GHERm9O)zffw*;+F3`}hopXkeu!G++kppBIujrG+I1%S&cY+)C@v=x#g
z8*4*2U5fAloRxFIsGR7Z%5XDNd9|f*HjMnO=w+^-_VILRYJw4<M(U_{JG;J|v*{Ta
zuoBbo^Y{Pkb?a!-|5v~=-?aeo`>=O;kW+ZF$6<~C`UEICr}Nh_ngNxB&13){gh@|A
zOPjai4V+CNP7a5~47JYr;Q8*JV@+LMJkMpP(MHsB)b%;n0cs*y({a-*9Fxtc*a{mT
zBGt#E49yc;CxeB{wEMliGhLR(8#hWs@zs_Qum0IA+oYHvblt(mmwYZ*Y*|U08Ap@0
zmt|6Q<0>koo(>Npgtr?m&Ivu1Vmi-^BBRc>i)e>&-on?`e&!&Vr+X;ib^hM7<lSWx
z5XMGU1efaw(b1>~HS`mv!a&S)3}lz|iFU63_nW35^v^dYP+V4v#M_S!<01#Y-ZlWB
zu%5??{65AzcnCoABH8-BhN5XR5njH5RiP~q$L(gmryJS-g>SATc^v8k$}K%B>kO=5
z(0bIz*9V~;Xlmes=LIniCRPqthYP?&wwoK;)7=d#QeN<<$Q=XJWcBE1X?;V>i!Ph!
zTZQ+7`(f=KgP@=wa6+_pbs>Of@aKEd=>`vWM8EG?x}JYblf5SMx7;~%DD9t#{X~X3
zdc>4nVMQy&IlUB=Wv6_6I4!t#uPL@VqJBI{R>mTib>5dv6Uj3a9O5XupibD@H5vlX
zq+oUxmpJ8T*WEb`Y$@p}0SiXw<o;IGw3eZoi^A{f-m$B9HBrh5G&!;wqOR_LGnx>s
z#vX8tV+l+@4_$6qM?dE4n~G2@;!=9zYaE^ZYv59f6fKUxf(qB+;4d1`OU)rRQ$3xq
zg{E5pOf#S%k%tg^QX^hn5AZ7c<7ENZ21RC{2ly;N0W3R#s2qH(=<aSY7{J!s+gq4d
z0HZ4PTj6gn5Bfl{UbL$=_EPs4M8$$2;g|*>gks%K22dcVD2C{(<^`ps-iC&TMn*-g
zY;TKA6>7VI>|hStWjMg-T{<N$P0UtaeR$>j=cgXyDi^#~sTU}A<<aAvV~et@f;zuF
zdEBUcf8d#p4{zxsdI%kHH9s}#TVbi!O89xsJcM;nxjm4R#&NxZUeD>IR2F8ZM0+#j
z6|sZ5JkY{i!wqq96H0l!Jlwkw7YlFq^+E?VQpfb%#8i1+nF0^eT^Z~7?s-9$cc*II
z<wtQe6!LS>G`F&9c&@^M$9xi%>DLtSx&F#wogD2^4t`gfe(^Hzw{dLfp(6N2!-6>z
zP$P8{5VY*LJ^T%Zcx6b&q&D=U$OCA>Dz?LW6V@5ufFNL3P%62BpK<uSxn1V%5PV-D
zw@yu6m3D#f*?0IH&8HiEH{f{_la&RiI~qEAEVtXKa>si@!o^Rz_fQaD!|G9+!io{4
zQf9A66CvWb(lL|fcAA*nO`A((&T3`Ah*syHHnDSac*PTge>b{65=?|P)GJM0|8Ns$
za<QdXwC=lQLqani5Q)yoeYaS&eI7z7%X?$Ul~&hryj}f``$T$9M|$@r-v3jjN0;QG
z?q$FBU#W|snio5q+-x>CPFJi}axNg4<oR;8%E`?GJ8SLI$o})ko4(Aw!y;C3nV}4g
zDR&jpdJO`v`oQy3cs(1H(2hIBxfv$zT5sVdubJqhA+1Z3ExEKYW(pR6cIUZF2Cd@G
zD66Xe#_h(ih^iAi`#mkAm9RH1V?AR<E0=@yZ!-%Y77ZRA>>*KCcVUK}awv^lV-TXU
z%5~R`_qDZG&B8kp83J^ndT#(h01ak^=Lk$M7_P3b=f<ShXb0yd>>&eDLV6p$QPtJe
zpNxAy9M+%7Fp)^2{&4O9&o!*b1t~&jt3iyX3oc71XG45v0Ih{XMMDz=&nbXFT7Wqe
z#1R9HCZMZUKxt1#Ntwo_39l7xoSK^I3d-A9i1NLl(;y`h`v_BS*z{|@XirZ@bM+3_
zYRJmo#`hL8gF!5d9`>>G7HUHeR3Zm9H-n<pHY^)+$ELNNm!9VXuMj13u~G3%q8l|o
zhcw`#n1a=Jae(M*EzJmc^*Gy1-BQbR*(1g;Ow}lpKZC%#vezV+B+5|FJEVHE3i6pE
z-zZOj(%AAtczYgc!1H5O_g6VLFENkKMxJ?{I8DlFX!eC6DAF$`a~|~cn#g^@K7=Cl
zI#z1-$bd|SVh)t$aOL-jku-<D4rJJm_zmV8PMn9Avz6pi3-opM-z^a?^cCJqm35^4
zCVTbj2QwYVFCAWiA9e2k6sG0XGzY-H0RT=2D!!JdnHl{-&T4oqwKOX&AZ*5<Ho?%?
zuf6szh5uXN<&F2Gf~U79qwe`mk64r4eL@3JgO{s!(S{8VG*G@nl--pght=fz^9u{G
z^T8ForU7OQ3vXKTdEx=?w*GkbFd$=nkA~Ko=(5-YUgBM$F^|PGufGpRtCbIbk&{CO
zv^YIzy;s1uXaoc%M#jcKOfDcIB9caXpNL1Fp+p1QfGFI@a3GzfaUc5iKwdgA2|-7_
zH8H}SxztCr)we#oV64n(h#K>;HYl>psq`@>#>4A$y*<`KGU<yS+XMOLd}J#Io?`XY
zq<8TC>^G;L&G^pg(fU#&`XaiTT8tsGH)yT*pyfV2D~vQDy1I!=^lUWQn(&{t_H5t{
z#Dj>Q>Mgaiu_Er}w7dY$-b{(SjSbdl-B>FzBY2ea1LWpBi%G?q-b||gg@%}xKP%kB
zH7G}iOO|CEh!%OVrS5iVbHLMEKU~I3t)5vxUX+OzL5IG--&tL(*6G)Ay7H~y{%%><
zByeLg8-8(*4->ATM@&PQ8bqMHR+R<f^sUaH96AdXp+~Z0y7v3bJ`d0Mb(>J5gOg06
zT?>t7dW7oZIKBfLFAzcu(Rd+-%<0C3PG)D-iQ4>WF8vqs(gKLBgVe5a$YMN!UhxNJ
zzQ@%e2y=T{0o0GtOsO%9avF$dj{quu(B%FF8S22dYSbBwGY_zD4o=P)h!L#IER)C>
zZ*Jy?b;Pijf`Y<ysWB2LOh|y(17y{M6z^l;&hF|80M!qZ>#^Rex7c5Uf`V9EEh-${
zUz|lB=q;8K49x0=|8od{%Y~NbPuphCJoIZ<`qm8WztC&35uf*R&^1BcTgXLMTV%l9
z<g>?vYof?FwHUn!6A8S$YMmJQc7t~%mo}m6;xTX%mXr4S!Wp2ei!={2g7)s#ZO|W9
z<lme`s~EV4tJne5*cDSml9oT8`p|KAcXAT42BK+_kHicnN+z#n7m|_$5=WY^k3-p{
z^|WPxu_Lc;vV@#6<h*y(|4te4<yHH|YDbcgTm2qCn{l!=c83!W*|MA+p##d1iS*_h
zDDuS-*B}jR(FI{k<Tm``KJ%{!KTdpli$@f^=+f<LZ=FM)gm@t|7zW3ol_U(n%1A1v
zVRz_i1w~h0=s)(IH+F;+pja#eS{P<f8)nKT%V=oef}k^FpiKiip~Q5E@bYk>Pf?bq
z<2SL8B|$C>)=>A#Nd_n!hzfGsP6^0gaLQZVDO@>Y-_4RLoc`O|D?LC|Fc$e!&qj;o
z9i2{Nd>o{Y90aJn=o&lQ!9MJoa|x#C?kiBHko{kTRnd0!-WPxM*?nBXpFmS_GWlR)
zUc?D`bu-Mged@F|`#l{!c7B+%R9cD@AG8xwqVGD$`na#UG}sbl%FKM^b&~qyKjWBs
zur3jCbR%eL*gT}H?`xq6eIKEkP{MNrX`W~qvl^KAbu3J2?6KFMSpyrrQ{Dobl9Cug
z8CkK4G5%UW1Oj7ClSI+l4MCpR@hLcrP^w(E4a#Qqu|{L1(p4kT_C~L1>b^TY#MQ(f
zCcU3uX8wNRmj}ZLqSPZ~eo!F3l#n8kr_%BRNjWfHW6|?W8i3qwfCm@=B_qg&-x}hh
z=d;%Y;NEPz#sqz2gNFE2=mpX86+Xl;nho9H1rv5Kown7@dQa<;^Vuaj`VJP}q}*9f
zMK^W9zrF|}_4ET{u6HGtqGzH_v29jFEWA-U1+jJd>_V$)8V@Y3cqDCZKCRgM9}smk
z>ykDC!Zga8KB}rVHawVcCnj7!9Lwuy8{Uz1UR*m5dEfr<|CFc5SSH<8mZ`YW0T!cG
zKIgNf2S#mX);C;G7P^^kZ?6db$jef{We!*xRd7q4`v^?`Mw%%bNl(v05AU7Z%CHu$
zCVDPBol2b=UtwPO{J@@S_Mh{Rlws!D+1rCUC?7u4Ik2bos(%Ia#V@TGX9d$85J<Es
z?Mqj&V7(oPH)k^G#|E2RNM8Ou5+)r?6G_Zk;WSYSR7=%ppt06JMWo&KxkJD-zpLUy
zIh{+6c|@~$gXcn+C6m=<_F0_{hwL>LggwO8kv2(Wnv3J7ETt^Jm1!3&2k6ARuTiIg
zRfg`bJJKTqgC&PsoT*CT%Iu`273X9UhaXJ6^JPmVwt4qZG5M>QIbh0aX67b*-exna
znMyb~^mEk*bk)5xf~xrhQ4|l3;9lV8bievoRJs4_E)PSZ5%1VVko5uyDm8sAi&(y?
zo+10~OR5XY3opoM2Tvqw2s@1*LC37bWlZ|XLu?a=%E<NZzb+d49Hw1BL!%z7+C;m;
zjpibP1WzVSkJb$54>l`<#U4K$6F&mktkc=$<t7N8Uk5Lvt-(Zaj}1){0~Ypg2*3(3
zBO((9|LKgtyVZni(?u_1(iO4FlJ4(s^~F@lw903!o)L(9mRM8?-#IuGZ_Ulw5cjtw
zf=b_YeF_76wwoq8!2WCp^TSt-6#gm1!JZZw@#-LiD;Jsc7@JQXNTupY&eN+8v$Xrz
z@9~kFlUgl<uBNo2UJ=x=Mv=Mx(8y>q(8jnrx-Ff#Tf$>4Cw4Qo20Zhzz2JjH6Sy#f
zcS+us{*en|U;FO<iRK^e5rNKNk$OxcUw!N;Ivfu->9x)3Qa|QcT*3=(e6Ck09cmKN
zdHs`xwn=Z$U(R}RPn5vgF?}}c`R?Tw-;%Pjy3@gs?YSyOU^-!SPy$7AC2Z=4;M~R1
z5eQkFp8ij|!nkQY9YQ9~J<UEcnW7c-S{9|T=72(L|3JO`s9Aa9pS#OEl??9{{81?0
z#J(ZEvP5H})8`W2Mf~objc>`(Y0S7q<mZ^?BacR)Ch8Auuq5a;eqdU$9yR3#CK=h1
z+fEN0jM;Bt?<@^xYss;V`@;P0Jf@yqLpT+43pTpYCvg(zwDOokSIn{~S_UBE`J0GS
z*S4nZAKA7vDO#ui+t6F)#(E>_U+{#WSoK8Y@_0dQ$lkwlmEQmyU)*y$BB_Z3?5(>J
z-W+A<>d`fv<zW-ImSLAs6e$YX$1eL;0Eosk0>&zsH4VV#FvX{`a#Vp3Ofo^u^jxy|
z@A*EOM6U(*Jm)A(8u7*6onfMOl0D>j;=RzZqdjm2w%^>A8r@oj99He?(e%C3_TdSN
z<*6Iv$@b2TOOxoRpR<NKHnrWnyk8rVo?1w*py%_9yy^_uoXmCwxeI{jiHp=w;I9w}
zE0d7UE&~^j2dEuN>pliGo%So<6;liOlEf0|KIPp@a!tvl*wm_ku<t+N?K}h?c3>fr
zxQ6X_uN#KlK2yxJ2Z*ZL`sz}aRW%Va`Yn}SYT5f#$oFyOG@))`ekl*)V}EtE+LlJ!
zzvyGQD+M{-?G1EcKVlJNtYEjH)Y3B06CNDO@3u-*+}8Q!5rmpm>^}#p!sC?_mpHHc
z+wZKwCry8_tEkr}G@RiJhus}_M*VydP)f~4NH7_7f<aChSjc&x7KOd8?=%@>=|Me+
z297B``MfH8liQF6oDWznlcdqw;?k&a&PhE+YL0txBH6rLto(p}eEZJQzNu-HQ5$(o
zRIy2{_0RX#yhD_alUX}Ca-Axl9tx>Nfr4uN$oIKfj_FCit`Ccrssv(Yr{l&(lF*HF
z`-eldJ01^2I_3h#mcC@!S4%$y!>@-@2=47R{|evM5Z+WMNABkCY)sgD!^M7>4+0mC
zr?V$=%|LdP6Fm*Gle9H+FU94DWQy62WVw(S;ai*D&HFYf<RjT?#Sc5IS^cw>i|K1p
z(hpm{Xxb;_b5C;)E5>2K<Q!3B{=_6nhlU1Zd}P&5q`jQ4bUpa?$;dHo?PZh*jJ+PA
zpDplY8B8Y=1T1pfMg{{vcIC-lD&x@PuqZ9>O|QAj3YiIk-jiQM<Q3?|@c`US3&hDA
zAPG(n_(r(FD39~qi6FoYFq@B(t*)+G5)^`pp(7Bsv`hEp5$5O~c2C{BKoqamaj#s5
z^LRB`fx7|_Y3(sPv|;+;WQl_43<SkEulc5`qxGdZ7ad@+=?Gu<tta>tZqBrz=6L_L
zpsj|)*V165<bh+F+O1~l6X6l$H`mmI-laFNIsN7HL<Em!BbWDApMxcXOWuBCFB9A<
zkq-326XJ&2n>QMgwyNf?WF~KSl>O)==1j^s#!Z6`Eka)9UDi=qAyoxj7^W|&HA>u#
z=Ub_6_qjbyYpTv487Z#?PTtpc2F>aQdF%LsFfSrFU?c}J0g;)X$-aERZ9F<x#<*lk
zr>8lR@l-{}afSiMG)Um~`7*;|_sLcm(Tn>oP5za<l^Lhg4*VP<GV;cVC=u+H0mwZd
z7dZuH)>4xJ-0<*l7(B$-aE>M~FAqztg@FXmUcCA!4zzYy@B*K>fSrIYH&do7Czxba
z=s}L=gH@(j`LI2C)|SG;b5+vw|MJe_ENJu)Y(VlX{xx)pFxP2PUHCA0P2~OIN@!3+
zgYs>iie!Z1byxPv{78xuS@Gb^U#DL&9>}DNV?+B^2o_rEEUV7-_z7xB&VOT^3z<BK
zHqYI9WvoMfnVPI4*V}E+hSzVNewpW(AD5|jUG{ieYPH*ugCX(i&Jq4&O@FDP)RXGB
z%J24G$R&k|1+zzfaS`jaI%u|;kPv`}aLQF;CFXcT3w&F@%?Tc+HeKl*zD^X^xDYS3
zU>;a}O1|+Kp0a?mI~<!<JZCJcVl4MQJUo<2=1l~e|Fp54>0<pCP4}lrpjBT6d>f2h
z@H}oo0LoBi0I6HopNNQr;QIOc0tySZVo37s+QrpJs{1W6Da(f`JTM?eW}o*@V3>$+
za#`nO3QMsn%?<|sm!jp5&$YGtM@_>1@dK<I>GF_W(qmwxXDUFaMIa{8eH!iWS9IZy
zcK2(b0?ISU%6_t$k@<Y&GsOE27c(S5;%lcLAG7S~dS#SaqtyKcCy)<CrG$DfGO>lE
zRhfPOs){lS_SgmT%|u=oRuf_5wz-xldu`-CyqpMQb8%tHk!kZ|IZc<_RMrE=xdC8b
z3|Bf;6*@)yH>lK=%IwfnIM6OrYWQ^u8FPm(kL^W4N$AIcW(#Yfw6}U1=Y>HGZ<4NJ
znI!gb@k)Q2kJMEc-4TLlAfW%8B(A`QR>Xm;;~3=rz%;>wiCk`vH(NW?C8U0Sey~P4
z-n#aUjg5_U?G6QSB+8nb?>Jq62~|C?xDP?W=OE_=WUIj_N#5(_7mknxr-}yq4G9YA
zIFMt@2d%*M@$u;lBN_q_owN1<fR`(OzE}I+Q7~)&ck7U-Cvx$PXM@fM3Jf}%L;r=h
zfnf&DO}zDu*1pn)J%!mHZx_M}>(^M-!aaYI_XN<5IxAWyEZHMMb$et36x__OQLRIQ
zO=osCWlPF4<cSI3IJ7kMD%lps-_hZ_ajg^*-bZ=(2e3c=60jyn)34ex`UGKlMO1<0
zS1XZsRir}YR(M91`_{?R^E`}}NRRl1r$H<ZC-zsL%twg{W2muu@9Mc#FyekM)zZoR
z?~3N#2Th@nlFS|}3Mr6qCH33zb>q8e+Jr<EuU~30GE{cW%@t3HAr$l-vuSWjduQ?U
zLnDLnp@(Cy$KUd&owt$U<uI))%2g$|Wgvl{v>o1ViBTQ9>`MO|<M+g`T~2)`K%A4!
z{6SH!E;(&Ol4^pDSGfF(2Yy2iCOIxQL0S=4bR`{_MAY8?WzlVm00!kVHr=;^l?5^|
zu4^!-NUhP669)$e<_MV@e+14)Y#>J3+1Y^u&2q{F6d+V69+&(2Kv4>`dW0w_VR_Ig
zGnUW57Xn5`Y5wzORdI1~0iLy+wJ^SG@TvyH+|BJ?QAfF$04ng8v_LL1jh2trekI43
z!MN>j4r8xHJH7y6Zi_$Wkz^-XpH$d^^`0DV|F6A)kQF-)8f7p|OFq}F*n#MA(HIU6
zfIuESB}Z38qPM|Yu1!zXCRbb8N+$!ynmgMoZI7+^hjZ8H8WC2R&DueXD3m~t;UcVI
z(%u&}kH;Dbsz=?V>j;B_3v@F$yF!8b2`3sv@fP+hwi4bYww`HHj2RHC@90z|{pSRn
z9;-(LNgE^Erq!fI6eoq+1%$o|@=vuB@r5?&JsXzP^Iyrt9c`2CwGYN|gKn7bydV1;
zlgFZ(*lT6KDiU=DJn|=WIVME%Ds2zS8Fq`Nol<rlsLW4n-te)s8gmQ1c#_V)v#OpG
zRV*0F5{wCLNJMyFxQ0!@9Y!_P6GB**w=50&g#_vb5*rggfBjnB$x1c>W7^g?Hcr4C
zEN~vRTM)LGu;9jW*pYy*2p%3D<oiItbTXJm4(L7s&R7gGyg>8qJz>=Zg3Xb8^128;
zg1>)%4ojG$rCkGGkVu9C%;^IpA`a3eNMLi7=e}3_KVQ()ecv}dF5Ua$#Kr{@SI2oc
zoySJwDed>O{tJ|!Yf>EcG(zM)F(&r3@BBhrZRppP-PP!DyFQjU(#Mvf7*vW@$QfI;
zJ`(%d`O<@n984^E3a^T{GH&*OT&4%eqRJ)r-#WL0vN1*@d}vSHCoV(QVOI68P=UY@
zYLkqotD~Rt-8;L})xn<v_(k0-UCdnhvsauexJ0~%PVBfDJbb1UCpUo=Y=LVDLdH1f
zm%myCR`?TpYSWtiZ$fLgFOeHbIdt428D*d1X?!;#f+WNze%Es;JGB}-?9)oNlHt8}
z!5R2d+E>)<$}>MffW7`i7@n@@(&CYjdyR~~g^BR{*m+y3U}aR9xX6!8JaU|1!))ft
zNX4d=YKqS#GTc9jR~Bsp@@<iKNKPw8F!nHA{r1Bktif9JINAWOhD|n@13N|Ng0#`+
zc83!1T?k(VQ<eem(`EFT$!eBGr9h(t#)9#Bf<O&=28K;v6ka&J)Ab%tK<FdS0ljG$
z&n0$7Mn?TfCtf|6$u{q@<aK>}t8?ZC3d`GyT=+>)u!CZg9a#A=AW16xZpQR&T%sqX
z1-|cR{lMNLI+zWJshV@fP0{1(iwHYiUw#&h6vV2ju<h>Y;K=y0LizjziM)Fz3f0u*
zoPsnqYGa?Ff3<E6fkSEjI+B2>>o(3>mAOIA3M7s;tQqfq!_ho`j^}|`ij9pLS~l8}
ztGGpy=p|1Z3D4<PV!wSReOUGHiL|>L6hOVJj%NjO*vs34lnqB6LIwKL)}N0uXB*%3
zmj)-2xr;K7yL`wyjn>Q<iaa%Xq?r{Ik;XN?RY-_paCA88N&iRPUhTM^l1&K;rTD+a
z`wp(2%|`P|he|j!GdlG%sa_l7o2c8^`Xjt(Udf_4wtAwEd}4W8H+-7LzjpiCM;X(g
zq**i!UX9r6&~U`XmcB;P!^@E`HH+PgsVD=JHXf15$wNR1BCeo-1}Gs|5;owE*tPEO
z3l9(y9Z1uGE_?QOeeE#FrFGlMh!K;NGz8$)fQ;S)P^tjcP*V{fkROB`o`I~qv(0!L
z5P97O>eX)2Fm8M4t>-=Z13u2DVpeeaDm;d>~^Gpcf9ZejxZMAzT1ja21Rc)2lE%
zb2(ZI6nKcmnJWW|J_X5BaeDJwLTN>^e|54SF(CAO2^`b=YrHaxgIzsyMYT=Q>+xwG
zI3KWE%8#FUy4g2O+)Ys(j8MhvIE{@pdPD2Sj4x|6bfBiZ2dqeZ2<(-Z_$wE_l7BS$
zXC9<q1~B~%KEK>It$?4*qFid)c8+a~l=kxp2iK3OfiC$dXWU}a!?dzN&6Zoeg{sJ%
zEZlM(^I1-VQ~{mCw05a){C6A5FU*ns(6ge<J!7J<Dj{x++F+4z)y*t+Rvtl_PBHHT
zo%w?_J9$4f?&wNufK-78ndmJ(2P$ALDs7eqON}q`swKjIBqtMrd3vTBy_-)97EtJP
zW5eSGD;TsXas|{<uxbLVahbE#ndq-1P6uz{32;@h)`pdpF}JjUY(S%8_X{Y@`|3Qn
z`6fRPXD}`y!LmgRUh;0Y>tG&|iH8!pD>@pO0YmW-fZ;BsQ}1J0eu6dcGnKuuF8Q`m
zrVA&2Z*I5W8I(m$!`{Jl?1fN-MzICqiWd6|7l!kq$F<ik7tO-PjqUvv)4!b%6Gytc
zzcK(FfE5FW;OZ_`{CpD2CIK9U<vr!gS;Vr7y<GeCh{Y?k)Dr{Q6KWlfW1db-CC4Wq
z-DE2KMkS}_IX<?LkRxsgY>a_P4?Bm8u+%%btk;J@p4firddi3Pmr>;E>B&e|bXtAu
z|K@%=*UgXs{c0Zm=D4M3hAqYH1%)R;UFz>~rQOe*iWSkVkUg(W6)`AWaOowY2cjyF
zaAOj>Zxe&Gv@!oXL_|awVR3hLWV+Pog%7x=+*xk>_1BqYX^v}aYw`0(^Ob;_0=K~N
z`FVY=cW`Is9&^&1vo&rSprd03(ACbihD5{3jB4DP=zdL5Y82(-(&KQFJ0hWcN%@M&
zZ76I;sxb=v@%<p5+dg>a;qDXJr|;67=9ouA|D`MH!BuW$#%By9@d|*%*G;0D^6I(_
z$IJ7K2-Ci7qG*K#QTAkhFj@!_vC@lB4p&4m-}>WUQhxVhAK$x&@q9!4eI?Iv2Z|Af
zM|_&T<s2_0&H0<c?!~S#YxJEp&aVXInpU`dJGl{L?w4I%EuV)JeFFFiL%eYjxI`;I
zST9%M@7-T#GVf4LL@k>yb&wo*%(}ogQ|)16m12kN-sk>$Cgb(ft|@BGxNlm~=%#fC
zQCzy%1QpKDX@E$ZhGlSOCbm$UQD?b%Y6>=yf!Y0h+XBi=Ntw0cE+;1!ai?8P5B{M3
zCLbi!`0oKWZr&CYWX_S%(QNIu`gA}tBFiSL2MB0bQ5((Ba2oI(h%Ar68KFT;)1u(5
zRuN`;gx6F4Z9%=<xCv-5W~-4@Nk6>Fzue1P@Ng~GB`JekRGK}f{V!7RNF)8=NQUfe
z;muyCAYqjOn8Z_;a1=`PFTe(sJ%Frqy<Zn_ZU)vUdm!?e3J%Q4dn}q-2sw1ACyBWV
zV`(f+$asjWh|gN3_|$Cr6MVNKHQq}8t<Qs?9ytwe`E3r>*;+GTb00Bp#y5oZaVj+?
z<9UiMr-Y^`xy<KVanUq9+ur6yj>umts-No4T?`gfc)#IJs@*_H()pl5b8gC^^O&Z7
z_o(}Zu*_D;J&iS*U4v4x8nV^}KILM={eg`Svu1o$)K=D49czp>q$+LK{*AXpy!c=M
zEFe}~?+&W)r1ctrlpXm60g&?p6$A$a!Zw?vk|&(U!xvtZ+Ul8R_)@?Or~irXQF#{(
zvH&D^8&J3X!ith`+IZ!Mc`)UKFoG8>MWFYvQRH`NeibO?$%1>IzzQJ0;y=G21e_RA
z=MXL$2{SKm-o)=CMh1Yu1+F(s9Vpg6-kEVNXvfVGMw<5h&gT2YZSvj@XVNuCiWh#f
z&s!7dG>z&xpA+nfdPeR@4$KzjjfQkVxWfWwBYchTZYU0r@}@p&#ylaE(xLD14(wae
zk|V(FlVNxu@sTt@Szpy)Cgyx6H4Xxc^a3uC=TM~e&|X?QhCl0><LTdL{0c36Bk{R(
zld2xzhPQzoYn9d&R`xYD_4V~IRo^qUDr*9lMK?;(P<(-+sfgHEn1`nyCQco3;rC13
zDJlXSV+%+iSwTZ1+0A_;sA+iiUJb@_0j3#fUeQo(Z*a-2t*w9f`)g2tZc(^Q8qAap
zK;=$Mq{=C^BvukY9ee%q>qM8#C)yIqz{VCbjGw|}8hGfowKU0Qrcbno7WDs1Cp{t*
zjA{(sQ1^&i*i@yQI*UR^oX{=sG8PX$NfyhO#P6aBn<jgOl|c(mxMv&+`i&T83HvPE
zm}mHn@4WE~IQnC<_*%Y<Rk+b*h^dMdl=#DCeJQK5irm}VHV@fISAMkXxlA)&8XNJ#
z4V7Tz-Z!KgiF>lyH(&bm?9qlq98p1XGeVvI(T6Rdx|)NVn;Rx40wX4fs^;yHfCU81
zb=Gx=2P009r!1gxkMrIul}KSV;p|JE5x{f?W8qgjg1}s!6X7{S0|RV8y@L5C@4?MK
zJ;$ycbMpTuvVuvl;UIpabJ`Pr5{Tr40C5G(YpU~Ce?$q1=?6|PB;osRP5v_|t(3$t
zw9&rabY1~>%)_ny6zGaKznPshj%hsD-oFM@+YDdS##U%ERxs;c)+96D%@4KzOENKM
z9-YC$iXv??B9}KTml=6bUA0;1<Gng_oc|JZb)gUaTuR5>?-DG07mM$T2bNPlk^a<6
z=C>hLn3L<fkkME~FHX%M26{(c=6&zSIR|3qwnH0dAE+Ns*cU!w&{SsS$(-KgpfGjc
z?(v3MIHm4_T$m(~tzlxN>f)^2Oyk97Puf$1EA-4=@u8IxH{%AY*;d()nGB4eLqw+R
z^&zfVcPP6W(OGaDlLq5MfEWdgSKtI%+IElw07g$|$|UyI9W{C==fOV*E;=@?p}|3G
z`=<Z4b`({V1SW%4cO0t)Y$6DVhazENi3IxHQ!vUG){o@o?InjXF)_th^(`(Es;W)}
zF@O`3o{i{R#)#RlS^Id><@#_5J`Hpidx6!TJ*M(rH_mTT7FYv8WT2d!w)E1lo>?7v
z<ZSs%(W_H~p_F<2*#PAl1c3E7B>u7{T!GtX;5CkBt8@LK{|V=2rT<-7`4oOh;j{K?
zwkOH83o0-xGc}K-vnEaW?!@J-kyP`S;FVX1yQe@{vzlt(($(mVXk616JS6M=rC@|R
zttQ|$lw`E#1>B|cCHL$~tjJYgK4%+BEYiT})`lgWnxyI#p`&Ayudj*JDQNWooQb?<
z9PU6-<9!0>XS7KD1J@X??K^Kv%b@RhZ^b@Cxzs}QCG_$BhTp3o8$^XWEH^(3kBHy|
z0ui6b8%i)11LT5gJ9jiaVPIhe2&Oa}ef|?3-U_7Zcngf=8Qx^+V7!lV5&!E?&~Yk&
zMony2(rZ@2ebQ_GnrE$w`lGTV_YD|$=MFPzvuOO2HPf9WPhO7pe&dLY@{zOQ=0X4-
zMDqY=UvqMoEK`H1Dq8(Lr&59`;Lr2YnPWK=)g=-%$MW>FL*{2o`($3!6E=bNSJEV0
zc-Fc%(Z>rq@#y@4&=j1Y_xmrpr!+R7PU!via)x8j3j^D=H@+455<wzD&vzB^X=F_l
zTOhe1Ayd-!$~Dh^t9xY5JmjRG5e50;$0s=(g%^|spN{k@1($}(ZKaq<>tRd~kjz@4
z4d!-=s^)ya-9OkRYQhytnYnc;J~L8VrsSaZ>M3084ZWXg>8<FPMaobRk73Z>9^F`t
zqAM#c6_aVKeJPNTkbwP34-VGDUhGZ)iEu`swt6&3f<xwy5YM)#@Vaw`>1CUN8*^Z`
z^5g4*Fd(o7H;N&^{$MlQ0b&t0J*{Tp%vk>MY}0COv+;zRrIrZA^Q7#*s~Uz_bbSee
zSK+!`(yoi0Y(PTkxH7)n)cr32L?s<yuM7`3%LILwsfNIip{*HN8FC`PgT28Q>SwyC
zksj8D5x}8kx1Adn@%!iS7kP_(eUFh%6QU}TD=d}uNBfBfbp;WpS0KS)H_!VorCqdk
z!^<@BAQ0o>)Ai*P$|zGQ0z&VECgO9cCkfdklc9dJZO{2ygb4(71_&!R8>Y9<g;!1s
zT|V*K+J0(jQEmFy13v0ZtrIOCyR{L}5&`MZR_cLd48sQa39kPy(^{N?g%p^a4m8)F
z<dU%^rC5BVIe<kTD{r#deZQnjE=TDecp`zX==it|MN!SHQP=s$WLkNu|NgzbyKta#
z3;doK<WFE#r+B`|bm)ePl7fO_-`B67fI~$qt?1nmFg;kKU{&;69ymJjPKeN-ST7Xj
z5vWGt$#ymNkCiZvEm;(+8z9-fZWYe~k=G*SnUJz_H*)6I$4>CC4j$PzjrA|~sTO~c
zQU7#|1^8S=rhRA(<BNYWLt`AYLt)T!XR(iqXF719Q4e3m8>{^_b(d8CVm1UdHWsne
z@p1KhBmPFTYE2|9uZ^f_pWK+Po#Hl#{OW&ZWp&0tK9E)cd_X`<2a7tt*xQr*3WV{|
z4BEXgJ0cv+BMAh)jF3x!yMVHoOq_&==OMh(<zTjh>!`jBjMp03+smqeR%ih0qWII}
zgSd=L=g?3XknPWwQc}Mb%+mwbK2ajCc2G{%98}JMA@TQDO;6+?uMkv*a;m0@DA<C1
zCu6e@*^$mtJ5w9ITu7}>x3@#!{{_P{RTtIG%784PP1smAI6ej-XN3ZOg`xFvAWSm=
zILM!I$c2aIjUrQaR211}Dr5&bhmy~7V#-#y>BPtn5`5}?#fGV+U9!6eV(LW79rlg0
z2z7$2gyVl3qstd=(hnwU-E#t2pRIBL6Y;)i=MOqP&uui3mp&m4iFlk7K6csd+;4o<
zuI5gh#o+j<IX{sdKViQ=-yn}kT9l2=XsYa2@qHF4K@J=@l-%42z*;I2j6EXPbzM1U
z4I3v78f)Fs?|KfP9yuMAWE`n+Fa?9^LGSS;ZR8UWZvw&1&yWyfFvZt^RX_k04liF2
zW_AoGmxQG=0P}o$X=ylcAjN`xiOEpzDIk@yp;ikedX*Nq<6HNigPtSuk1AitC&+&`
zl=GX=+nmoR9YOE83nt=%(K%=);A81D`L(J`i3aZhm_t^*=seMdx%bP}_DCB`yPws|
z#$rT-aM1-N;}#8eUDy!0-K09)9A9&pm{0u(6tp5fytFehKk}?|XWP6_Z15wJ&*bt8
zqJgK(AQE<>Cc~)j+nmqBOI+R3Q%yFan@BQq)^!fgU8$|}VrdN3#%rja3!3;|)E@2o
zthKF;)AjfxFfY;oRUeq|E|HN6Y)3GvVSl~`9fqk|SAoCazS}Q5KbXTJA|lGo%?0`+
zgXyO-mnD5^od=?>r8oLEsPHq0Kk2R(orWM#i@p53g4xG?9of8tvB}B7th&j9g1m{^
zt85QAnx7xPmtHNB5#Ky~OI5MMuovPe+FPX&mpQycmwbM+nQ-K`&*Xi7A`0HwQQh6Y
zkFP@lr1B;tW_j!Y+*p6J8L!poi4!X&63=FJ4fKhCG%t!QaZD{PMzyf8NJ_dwI>`}M
z==#$hhLn_Ak&MLibVllDYyhc|t9oR&BJ+A4H@4QL+hP49M6Fwr@n4j=dEJU85IBW3
z&-8ysH#9BdV)DO{r_Bf*+a|!fCf+f=@kDzl9hX0!G>gf?US~;o=wbY=PUt*TvWaL)
zcy%9SpiHBQE;410h9m2G@WSXGgYS7orL(h-C+g%Z+uO67mtZQMAn^^w?nNs=uw8+J
zjnn;{>T~Q{RaI4(a2QYvWKQMoYn>hi01M5}&rc5}ecj5(-Rq#V#a#SozTW-ki-^c6
zKu1@%x4UZ`wzij=V2<(ZMLWS^-M&ZeKq-o~s6RXzp(HHN4RBK6Z0UFj@eI-D>GHu}
zaepr#HL$1c-QFZ~kDWjmc}ZOzH$xipC@axW!DomCOaswuvOLFLQpo#xF`El!y^l8P
zc&uIB&EeCnO^zz{yZhIK589Yx6BmPtN4RwW`8WZ_gEOG`Spf$VK&uq9WHNwg0UzQh
zwhJ@yJEiK}R}jba!DyGjkdO_a8E+dOj|4-JQ1S8mf#K<+6L-oxKVgd02`J72_0Jb)
zrln@9sF0hVori)8**YTIw9)U`O!$(yk(v`emIN24KoaaRXh{v{`@b+U=U7R<6K04Q
z854Li9hA%v(-teKeJwiXjN(c3qQ>rGl-r>#vm(5$g$z4HMOv!mR)cfVx0v~|W2Btb
zIdk>OS-RZ_P5>1by(b2BQQF-d!fZNd1QH^;jXu-RUO2>Sm;6A*Y+(9Dc%b<^LNmCe
z<hcX0q0wg?s1vz(j#~mZURQ7T>(NuZt)?)!yY|n5&z9%wXOyxh9Iwwj{(FX|W|MeG
zv&!hnBf}W1!yz(h6rzKH0z~0zxI<YZXBnYsRhe#${GxS*mg3mbIS}bx4v4CTQcu5g
ziUIYsS7c;lF`(}o?@uLxuvVVx1B?nx_P!P0H48_TeEl-T+v2z6YcSE1({URWCjMls
zKYk8^Hb_2x{F=z+B0(UXZTQ0DdZa<yfuSRv$$eM$t=BD=i0s3ks683f<VfGVGWwz5
zgZ{&-Oo!75PP)Vgcv;6c?PA0?VFklq7t};JH0ek!$7LwU^leN;6vsrDc%*;JNC|*6
zF7gEe4GDsbk+FZoDP(x6iY_^6+Z7M7b$@z{%1hlucBuq;OsuU3K`Y1)A{~H5T&O^$
z%=N?|#}Mdw#&Hv!1@3|BJuo=9{(zSK>XN{~IuX?b3YE~)`^P|v2r;lQ?yO^cn<<!M
zvgk9ZteYIK+B>=wR(5{11_xgO?Oe9A+Sxu33BW9LJa=AeuzTpCp<9u%MDs~_OSuot
zRYDOm`$~c~MlDZ+v%NQP?}d;NN-DM<qi72IBhoi*HCyMVal0R)wx4;vJ+tPW##8^D
zMi&jfpGx+F=R-GdKTg-uue{t!4^4|flPr>#SN|5|CM#Ih6bT8H3o|k?Sv+~90Uq!B
zd(WIS*aw0nVip6De~=W#3u{KD9;46PJUnmSy(@eKU>8tkX1U)t{fUTZn=H_TRnq$U
z`k-9-r;-OUJpX}kE~(hhej{l|4T_RLVE{}h2B6>r*%Ss~J^1<I6f>pt!I-Ct@G_<w
z^G8Lhx9jycE6I^Dc^3Fs@1rEz1C(FV_z4bv<$Zj+eGryhh2A!M!&L7@tF$W-9`3;D
z%@&IBXT=EPm$80pLt>zKsw}@loW|cE;~yd8e&vo5Q4+7}{vTU!8I{%AwSi)QiU=r;
zgh)vXNFxX;NJw{wbazMy3W#(!NOzZXgLHQ(-CdGrKKuR780W{?KOGF++-t3Q&w0%&
z&VSrixKqw~fOcorHD;z3PgB@Wd0Iv#$ud-V?rMGU<s0mx4Jj89qWZ}EVBK#h#Wps&
z6jXNr<)2u0Ayt7o>*?v4<0r>)ZDMY&VX$gzZ7rBzuS@}RRMWsfaCkWO|B+VTdZYaX
z6uPmeXDjf+2c$Wm>;>rwQc+RSPtf*4HkQ@a1T%sK1t-PK&R$U3@l$d|V#}*0m$(M~
z9i}zkUyt2P1(S*Lo98trns*zU<~*g}P7l@TKAch8j$T@CY^COwl_^-#kwM{UNtq;h
z;-!+Bo$K@bm6X^?QnH2CLw$#BdVOs+9fMGrwb>c0r{q`%5z8_ik4a=cD4^;Y<G9A6
ze7_yp`eStYlLGe8OtbLD3+HXa6EYQ*e~TusBiB63;fE=njUvj%w{yWv<UFvn04=wz
zlPJ=NF&hk&IvXR|XoRo6gHG@cCMjt@qOk%~jLC8ny#CjxL=fOrzg-XZ3IH;}FhF#9
zd8t(A%m$j@H`#IsHpIa}H&ZF7Nj2R5=^^gD1pW%|_W5bwOdp45tTo@gZl<pa10y12
zdkS-d4mLMZk;>35^#-ua)|R$~3`jYu&#FuRWZ(LPi*3Ws?)!+kxe9asj4%n+;Yl|j
zDd`4+Ys1Zct9NSlj3%_R7w-o>qi6Lp?<0xs40tj6oq$G$JN9uK7Kyqgn;mr(z4QjB
zGY!Qq_HbGMq7mCW>>@&D8pLydHiE~^pd}(*dz%xQ1=owYs=Ct5Olq-6dI69F0R~hA
zln%asOJUR2ZlL7=J&~@laThG#Ax7$U<L}?!5q+hS(r-k63cv?KS6W|R&;42LQGg)h
zYMeuR%AjG)#n^7S+vUTMPPOmiD2-BN1|J&UoF5y%@5cQ|FjtR5&V80DBOe+Z-?Bek
zY&vHbI8!TgP-n;YSUT$-l;XdibXb;Y*;-y-y}Om`q2k2lzthX>G?mLEwuml5oGGp9
zx_w`FmS?z0pQuwWMOao{gifrjb3}Cm-}7BsEE@24q%>ds*q+%@sI4A_Q6#qk<G};y
zjv+VV)=Rg`vyFw(d<~cV_w@AiS$TO&;1QGSRd&AVS1GJ(uHWMzh8~)ztOV4QY&O$b
ztiGGNn#88XhUHFzhP{iVOc9Chmf_h%n#G!8r#4gj0@o1D#HTIa(etH#KW!Tp_$9Fg
z7C-S~AKThyP;I<IMx?(97jdkkc6EuOa8-tIi>5{?Bua)<`}ci(XO+(AwUp5OM*oYS
z6BFDyPcYlSK#Y)QKQJLDQHeuNK|#UY{oesdWpXo`FbG(d3Qo)6Yl9XJ3F4(I(Pi09
z$<I-Sn16rW6YDgcO1?lTBv5{TS$l9_c7<`Zcu<phmw%JX@m1^rDx12??7y>^rf)9S
zPip4l`tC_SdNxp(-N%YrjS~_rA>uU3BAC3d^4J<ZM!cQ=MnXpTF^TjibCjKxlNYT?
zuR?j^Y;c~wwaLR_mk}OR^<g=MD}TS3gw75-IdRzVmFaXvfOM*m2=RN&yUAnU%Vis3
zbb(_>Ma{XshPPyNe%|C>5HR8GVX^`F&<2I(+ws=1_;G`y%sjQW+{2q-ZgeE=zrNqR
z6mh7#uf*{uJCmBsREN4oL!=XK<Ii$ormK8Zb7s89)L!!U4EaFxU6_HZ4ON9PL2{TE
z@;anK!KZEc?1UE1S%}@DZTxQs^j^H4c8ZJxW61=%Gd#s)`{5&2gyr*v#HmTL&+a66
zmoQhIs3PB&Dxjg(jPUs?QUuS+nU;#m8|H;#5OK1wups(3PpMo&*IRV_{7E2+y^V<0
zR;e&mc2xyo_3<gdf@~y<?PkD8!N$YW)z-Eew*p<i9Q>!rNS`;YXM5ZxN$TIx_@*yz
z*9^+U{0%y{{uA}SxwV%k1*mr#tFqZreJYa0d~na$O$6x_h4nEuM6E=S@j{0tNvwTm
z@fgY3IZV&Yw}j3F$0br?K9l2yL`tYe=|}&@2{+l8Hwm}2c&gj-FKzRgcTE`{GQID6
zYzi5T?3D74_oN$h-abZNU7t*28WUo8A=NHIESz-@+L1{hBf(6x2sR9jz3QlKjNd$;
zt%V7_p4Wh}33zZrLqjjw*;fFGtJyvQ4baAJZ%>agZ(n}ptaFmP$}dZ@v9YmH%>ZrU
zi`-$7mh|jLs`i>$=0zIw>3Z0Eiw6xcyaoiW!tR}PyB2@;_VML%M5`~H_SVyqzq#@S
z&ECYcUs7KTcZ~{c{B9=yueh;k;{|tr5;q&w*m%)QK7cg-gLS{cHkA7Z(mPz}U`FmD
zrxdEGPbSr4A@Oe-P)I!gunp@|uvC2rMq5Bc=mTf$0poHdWo2ftP|99JT<q0C>W$|O
zHy8Y{A4G42yXyl?9h*lkz)E3<B0j1K3E6heeA(qj%U#hPW*>TcR&$e1M2J^Iyy7Lb
zu2b^;V-Ls^=C2baIY<|p%jHaadhv(3f{zQum$nR;N_LhFq9+@$#`LL9`Lm=f;(b4+
z_*M}}u=T`aAI(=}b!V|f_?t-|%2*}4O~*K+d(C|D=(D@{toEycA4`%vtaEL;tN~^b
zg$$Oj2VE?&F%BWzKc0C2q+EZ#L3jK1?X|f&9>7x4A+7Juojcwbq<!G=2HLq*P`(Cp
zgRVg^-=s|JzUJp`w)&gv&q(#x=O!5+<Lo=|#l*TdcE!ZRic3nWH;dtU@4{1KVP|ij
zm^cgE^f_}XdByr9UB!JYjeus!Wq-wxmX59VY(*t|afC2TY<a5|yICT~KG)W!LT{vq
z-PUM6KC+i+&%vZ?hHUl)EhF`THDL{g#wRiTcqMbCAm}yEbmAmxKZ`@dna8O2>G9eK
zwwGF<3a|Flc+!3ioq}DhM9bZtxw3~c9Y!N3nZkR?D<a&}b_Sa564{Gu`4bD>cU3Bz
zKA8K;$R2LF3-BA3t03wG;^wV)<uNX=cJ|fsK_`ypbz*_tPbP@=M^B}5+d>@$Fpnft
z>9y)$#o+?3Sx7E0r~ol+w_p)KVudSL*h2;&=RpsH1hbg&mb)EO5dW-~Zz)P}h<dB9
zjiPb`tAAQqtq-4s>%no&;!8H>r9;w_(1_HA-r}&KgER9^vU*kP`(Fx(Yw@S}qqW@e
zs>@DOOng>)#tlV!>6TiT@3Ip$yb)KaXwCLgeNT~*Dwj(zP5GU_K*)-b?c>G=&%0wu
zLC+k&V_~^W6&+YdL*MEnS0EiG7a!CRkvk%N_m8m^6$8D=4l(WJXQ--=KMhAljxGBB
zzL4MG6eRZb^V0>fQJz{=Xjxg=MoL6Y4G$KTID*JgdAy5rS75*)6t@VhM7X%PU`e>J
zvr`ae1Mk7+e_loODrMitH9qIJ7gz4^I_@vLS1C8P8@J-Hr#m`5bx#w2sz8*kexs$r
z=AhHl$nH-v5Ibaz6QU?H>9+R#LQ>5wZBbNjtC79TXj#w@qUBG$#fXJ7CA`%ZKmBGy
z>Jj(HXMg!U@#@NOvd4qE2Kn$)rB;``vCeSGB%YfWzofUUQbstZ-Qvo&X^<eJFjZKw
z)sUlHL<Ggs^5N;I<5(gFH6N4a#&=J2Q?!QPK3~uG!zGJeXt7E0ETqN|k3=wjbm5F}
zeZRpOFtsycQ@g|w9$2By8AnaHIqoI){;`~~{4doLsCTbd78k#YQ|0cMz?xqPGHS$O
zH<%ts1)a_V5mY7U*AeC&Tk{P`p`lMcu}qo`s~sL3IBw=w26ujPfgK?}!KeiJ0OFvW
zS4P2gA2HVNa@E5n@T;aKEIRr(fJ_7&<}<{)@H%nAypII9kxQDI!F7EPDZtnRGnF(!
z{KF9^v$gB^O9Gi%k}LhhqQ*Mt9T-CU;}+DN{S3)P>Br;=xdl}!DlaXJHAO|~92dXx
z!{w4aWKH?B(!0dU<OLFm`H4T_P;B3Jt>N;<ho3cAhu+6Oi?aOv2D7)O+(XDS3xaoN
zUr-B)Hcz&PmfxJBsr<>;tQ_vDqj~+c*3!bb<49sVW-j~nvM7#KHrFMwTg1nX=f4?f
z(+6ZXmITd)k(iYy%WN&*xLuVD6wwFrw!kcfzdQI5yNIHKY#*Dcf=E!(rvo}Jbjk>-
zzuGGg7UactkJkpjf`850)*W|5(=3`%$BZX0tWc=Y3yuZ=-*UYD{R#S%Id=0ujUK=U
z_>!+$$znQD<nB7B>ZhpbvX2aK)W)4zh&h;BOby~|?&<Ldl{Ji57B#L2qcH%1@bU32
z*M}&<K#!DD7NVBnZs{R9r1Z7==P+Xq-hKmC#Oth__nDG1@Cj+4$YbM#Kep$J`FO#I
z`6T45adp_McfP;1*q4&2_WEg*POD7b=k>wKxa6y^_m51x%Ohw2pa~FqD{4;Gk&30{
zetFx9fJ>%hL=`Ic)_MP{9{&Kxe;o`&b&i0aUd_g_R0}^#xSFx5sBC`2D4aVgqgFt{
z!Wxz^$ZT5e=xaTwD`+8ZKJR^cak_lG$TNwLM`lO#_i;QS&r>>G^7E~mHybYk=2kQc
z|7z(piLGXc5x=)Mw!&|8Jnf9{It$Ky&yyA?n<?r?8#Bom4zm}bs`DB-78VwuobdnY
zCD`;+;41<@hNW1oiRP?oM0mKCk&)B*sd7MDz^O{W_Novj;SXV_z>Tsm&}qD%t}v6P
zji@~u5<@Vr!R0M1EX=0k;U;2D1_hH<zefv5l{Xu;;G|3i1M2NRxrOx$%K&=*xxmH7
z{<FF&4B*N2^)(`37R)wN<!F_wZE3*o^DPWDh$J?EtN7#!E^vyjX?}gBChu^d%BsUt
zV3$Y6h^P+D^_|?}A?VGRU8PYJJ=H(oUPWP9D1OFn`rz+Hx(`M7AZAP)0kgG~iL--+
zh)q9LG(N#?sRFsjVUfM{4;9Z2<?gmE>r`o*y_9}2aXe?cMKAtO>zJ=1(Z6=rwfdeT
zONt-AS*^Nd5qn|cP?D-jd)3IRig!ZAs|Psy1dewyg1f7Zro_G(WHK9%8zW|-KMe^e
zFFOl~WhE}($Z7vTbbL1^T;CpOy#Dw6oLonYP=W57x1fjT?i2%ME^qu5O+QQ&5^Q6)
z6~IdrjGDBe-p2F0lVqL$nI9SowOVXv20kQV6xNU1kuM+z#Z__lp%MaWS|3VB*lvQ+
zFFF$RAdu>@>!|(l<Hxqq(TFc!ke)v$xeD6@J}fMhk%GIIIXO9JY%U=J%3fGAZ(u+Q
zBBb9*NQ|1oWi19~Nx23gkBB&f;p>?@4GVU6p13`hkH*b?xHM34w6XTJrj!8%MZWZH
z$)PAG7D@j(v34t!{_7Fun*fO>5|^t!rO@Gn=)Fssgak#><<E3`_7$ty=K1SmLwE3a
z=$6I}Zk8g#t*%vQ-4lG5ESKc7Q`tXQb8R_(ChXnHJJauAR@lAow5A)*9>tm>FXnx5
z@px+n`zcmf4uP!-gOS(!co9+kMXwKi6x8EQ<d_>nJL_TlMWsy!y?BT@!NV^Gr=y*(
z-{a{1Tvd?-RP5Ng5M-W<`rdz+m~K_)`6E_GW2*uWndLc){u;xeGm_n|(pWtT_@`3I
zrw1nE1(f{!q%q<sU*h7Pg3InF@XrL*kbDqScWK~aofpjE6{(aN3b?rNK6vopSGB@6
zww&y(hmFn6x1lovn1<wEJRshX&;EMv4D8cOwVFJ63i`q2qO_k+7XipnQflky2!e?=
z0+5+1Gy1)J;L~?vfvR*fqWgvaZM*GH`QWD+D?$Jsc6Eoh3Z<89_vqPQxn}oOcylnz
z6fKTVzQDFlbUZOQKo#9w;tfzPG_OZ<r4L4G&{tAcz!9TmBODq!<ic?dh`?(R`P~)8
zt^c)XzufnXn?t+T<7NHz;fH*p;pW!w(zAD*@&Y*O3(%tppDG-m<c<V~NA!1QIV!Y!
zVMPrWIpCS0C2r1mj9(lrwUMh%;F2;R%F8!+eXV2sJ$$a|?81dC9OfOQem`;~cZo!x
z*-BBF1b<$I*L9ZuW^8z77tc+Os>C5LC%4x@>Rx2KE^~c-VNs@HX2+Zh=q{p4fY%Hv
zK#y>^$n*kP;~TEGx<^K^-@bi|`tV_HVU6Og?xrRWK(NC_uhiJ(<B;=IxoRev^>q}v
zPxjgdCsC@@yoFLJ8FIhqCR^oAlZXmQNarV5?7JsXHFm@VHOzI+wL}?j|7xC9R>D6#
z`^kQ^v*H&ejOAZ=DnzH4T@@eNmUzf~>BKEKw48Q48j6?rGc4#SkA(34+>cp1dlG6@
zvGx<R6yabzjgQ+eS@Mi~Gz%24;u2as=oFP5$l~*!NN?p^h-0HRYsQEf>a#4KTrwgK
z$z|A;Gl=8VU@L@4gt0pUAi)!Xy)ZO;^WM*Rnv|;9HOhYje9N1?CBHUMW}iLlV3`Zy
zmPmMvoL2*iY(nU@^*|Ctp_z2-nyRS)CfE~|7D+F(d~ZiS8&N&3|Dva>`_{>c3sm}}
zN!TNDjkI)hEnQuxPoF+5DLFa}O01^UnibVf`#GLhfVQ(PDaIu1AApuiC>^C>$xIc&
zaIcxmntdlE=;mk-y(eM9FKo4Nf9#Uqgt=<(XKftM%cX34+vDS(G5I*w|BmOx+tR<O
zf7Bjc{}3qLAx11~ttn2@-pF206co7Hc4IcSUgfGzjL%H*eJ63}*OXG~uX>8Ici9Uv
z`cyS3x@WAsp)!M*^%@g5&2q6ZstXs>QU86ZNdb3igm}9nmoWK!N49O$e<f6=V>LLq
z`;sf)J9};Ah4@nOn)r2IjPI?M3r|0)A;Uz@`#fx14!)N@lwy%ZX4C9)wDNX^694z^
z6p}1+<zy|2SMDDjQ9OU{NvBva<4{=-2sXF^`!+N*1P-lJm&^1v?FL!zU8EwNp;W)z
zSZ6F-pNVHQt6iI_;EFJQB(kqeH0|!oU?Lf^@agDHhdm4)C*KmWaiR|U?xi?VMoi=?
zyHr|Y%uA2XXFF6zqPfure~Iin!Z^`>W1<PeOIq5p4eb#v9g}xh_~BZ&_0trGc3#A3
zy=%|htaU`j42y4zY9Lt>;!2Yhb0FEpeZxbF$Nj5%ptBcTH%=)Ve#QIk8(liF{eW9O
zg{<~ng|M2w`6(ms%9Q8V&LE9HcxjIllHU7@ieTJpxWK^OkTaF$PTxTF%$vSV2S9UW
zir;f1i)jMcJHlPGtO&gN4OQ5Ga()aFaeI6AT!nl@nASU?IrlI^=%c*fWwI6_RM!ah
z5W+YP7UW1Xt|$r;66gqC3uHq9)^GsCtu@*diFF;6vASqweAb1|z9SOsFP|R@W24@I
zuK%Bx-ZvqtVk-yy$5FB-wKro)NiBU-@ydmHR4c~b=wS~ry4t(KL%vQA<mO@|nxEjS
zYnm%%$URO#e1B1sE>tpwQBV0eidakU*-_HaB}pGDejr{&x8_1K9S<c-xV(R4+upvQ
z|Mtv3MW>G{eNXru1@)6B>48&*O85j;=5wZ@eyD5z#+eWpY*V3Y$H4q(9GMSpXzqV-
z{7J)!?D|lvPgFm@a8-slz>%H9dB_&!DsODBRhmm05Z@jqYY|Crwrr+Sh3RC&++bbu
z6V{@;$!@u)uo_`u+1uYwPD}fSaK}>Aa6;D9oZq;upsY*~$6>JoRwk5WWFD|_!+iQQ
zw~~od2CwKk`>g}1cfjU{H}@pzdjnvf@j~9XfZ|i}sUfy1y3o&BjWwmc1u2vh!?ulp
z%rm=VX<s;_oOB0SZ{EpB#(EOYNtNdfe098;S>Xe@ou=HbAz@L+nNkNZ+RPDO;7@u{
z`k(d7gm0YlXLk0qe)nj(B$yex=PoSV6HvhMZQSrf7t<d{m*)*hFcT^Sjz}LXI7m7u
z@N%uJ=s!q*AK&+3q5s!?iL}lB!?#Ix*0y>re;(vj*@s&&?IQL|V|5~8^*b-U%xK~!
zLKq`$$0By8uSK2o&{eV8KM<!&0Jy#P;@vGV%#BKC&BogkFdIwq?%$=2K!wT;l>Uf_
z2)H(_jyL3?msH8eg&-b4J|r64u51Y;GdEOkZ7Q6gNBYMOL=?DQ8LsI2TsrqBZutui
z$yz@!T@`VWK?m3{iaTfT`;ztAcqz`E3zR>*oBnObDe2WE5Ow7ukr<$R*k|)jm90l;
z@s7&HUfYs3c7*)P%h`17D2|@qXGD3u1k>c-6PtRCc0L6aOOJM0q>J{JAE^bZ)wXAl
z|5Yn~Tq<tdqBO5SPsH|JG{9ROk7-fc!Y?TGb%wY1C~|)IrC=WgMe+I!Wpk(u&8cxT
zzv?;Td5q$3d0gg=-_UIs9R*@sGEL$TxLB@#guPY1qRV_!M|04zRo%c(_d=1BFO<Bf
z|1}Ny0@y`Jh}ca?4ur0uYI7S5otDA*IRjP|+!7h8$5mhK=&IBtlE?(m2uE?}krc&y
z{b9WDkKTLj)dq_NEMwpNa)KZXv$y?ybB@)Mx`s;SGeu>B@8!T;zE53$dQvQ$<BQND
zvC6NKC9h(+EINYYYwHqJ(X>E0lUSbV!*~79s?R?EnQBGx5|Fp5l1qP1OYZlYS#biN
zM5H)zXHF&Rznk9q^yj;5oumF-k*<a+U2|Ewhl!?7KUmDKlvx(Fyi5M2u{Rnl7uxSz
zc6Y4J8!IG?@h>^1dAWU~V>M^h@aOq^;U=wz0;1hDwQuN5@K(HE`w7{e=3*smRkQYP
zItiB6FIYD@1GK{p$3o(T=wYwMw4g!w=Hp`n8yip;Was6zc6R#0oI9NS_Fne$b-A}R
zT35sF?$IAQcIs>Q+AZD*jn9ya8BScfCOEl#FqtYl{F&X`yX>v(Mft6j^01@xzTiS=
zdZ5!ie!P2bNidq`NA8mruBbRCj)ZK;-6K^b*(Lcft-#2sJa>5$uBjp6sDh%(^uCmQ
zgT*+&aoCaR@ZwZYr)F#^GMr`0M}8@4zJ_yGU$+fw+jDJs(N{4n#}oHUPD$vu6yCse
z$|A;-+k;N$Ret7gU$)LhC7t`PWJcG~H#jRH&;tB%iCP@aAEWzXT!}XDC(a^)@w?Lu
z<P8g`HDQ?_h%?9FM*n|5BoxI)<1IqtTixw_@#XjCo-MiDF6^6sVMml42z|8F?`1Tj
z@zB59s*l%pzIpjdA6vJa_3&QT+eX-RFa}FM+h(cIuTU^`GC@VX!xh$`E;+K?&iXWC
z0Bfo7XC$9Ls^R-M{l1Bq7zK;e1Z6eB57zQ;&r-*qqy?%LUcNNu{Hk(}nH1HLMLN!V
zMBie~MA@6ag}*x-tI=D#S5ne8@#kEoUzBYe^^h~vIiOsT(X#wyB_oNa)Yl2$!VtOG
z7TJz^#6}_GO<%D9=@ZQ-9Vy+UqQt@$uDEBnB8ANJ{5Hw#!d0kIm6}sA5uM)r|J~M}
zBwhUsWDHzU>>lRO7uYsZRc!QL4o2S(Ebv46>6?I@>Rp!nc@@|3*A#1=CUwT^v5+Aa
z$|zmd2|~M=?c^xisaLaOGvD|%lfET4e{teBH<D|kL&`nNxgiN^Xx@LVi1d<K<|T}7
zSJVF>;wdEAtsc!}G!#Dgk$AyCO6rmwLCz3@0Efr{Z(qs5zI1}sup#^g(^+!jmZjLo
z+1Q7pUW+bmR!A<yTTUtJ&t_E}2WI*LBP-B*(AM60K}CsIL)TMZKBZd~p=HeK^&!7}
z3%d$|lfD<hskma}6sbaQWsK0x^)+BwVIo}8&)l5O)hk{Tred$Qfyj^Wl-g`Xqkq6Q
zLZF1COYLB=LibhatXIOG*dLa}&x-#bDGH&XWvB=9eB5HlF}V7K6KP4s?#nOXjb&fH
z6B!qaPcw0qv_26V$Kt+BQjrvxQ)<KZ$v#rwfBo^h-9Ia3hWbIiA!JCR<*~U{PDJ(a
z>{g$DprNnr4<Y0uuZkxgre4%D=)PW4S}B-U$XtDBYu+_cam&_dConF+&ThBlK$NW*
znTtp?P<K1xFfHPT{$=^PQPLRw7I$<ZlbM0p!h`I^SH`8a7pyH8%=H1vt?4QE0ZFCA
zs-n@X{O2_?6n2?#QZiy?91-mS^^p0_e|JX1H%l0OFxci=Tkk^Cih!8M3rQs;B<#Y)
z2_IE`NtgOPX?^ax5LV)Jk{$t<`o`n8UhyQ7$joI4q_@mJGIJEDm}ki-S~IXlwS*`t
z1CpZbRX(hwP8L;qm0)01QN9%SQCPW-zf2);8vm7%LHDqk=lc4xhfn?^Zxj?jb-Uz@
zQ%XxF@US}0_bgGLuAv9A6*DtypZa%B#Kr7SS6T8+*-NbwT=KB}71`CQ=B`@QF%MWc
zmnekoF7v-hBFNI3jd=JeVzVFRuFTrPTGy07KN6;9Xxn7GQU#UI6WMSotCIE(8SUn4
zw_U5^Kezc?U1{uy>W+;DDx;s`7w=E$$_Qu6|9>tCm@Jp9xmaShJUUFur#AM%<B&!+
zV{cSZ6M#c$#m9CzWOzkL^%`tpksbwTBsY(imyg{IxCIE&PjLMSry_R}RQ~Mf_y|hN
zQ_#@lKRXxYR!w0nC4Y4u66bH>Z1<cYmQ8!P9<zSdB`<QAgE2pjL)SLw4fk2~!Y30i
zHTY`_vdTPvf3rRL)>=eHj;eRZ{Qj=KSzCnxwYK@E-yHXX4!es>WrT1449lcTRlPSb
z*n(_eB8FCgS0)-ktHV;lg^AS>yY=!QLT7dS9vep%U18b!0~H3ZF4P{hN6ak0CQbQ^
zv%bh?`x3q2Y-;m7uO##0n;KkYpnvoz#=-5s>5(F6-L`bMH?VadJ7*z1P}T%m3`cA@
zqx;9Ibxc|x6S#3;CkRXZ&hG9OfbRe!T3lH0RLG?SZ*xF0V7~ySC%WKJ0U@VYxVS>r
z)+{VB{y-Ei22wT}8k#LmP2a1d+X_*949a`GcNHvn+hG3<b;|JB6iOAdi`GlCuQSD!
zY=99b4;pv&Fs%R^WHU(f+4KFTb47+Y)<ARywMqMpCx?nV*^5g7lJo2g_+yhvW4#H*
zrLS@|2xHY{L_dIg9FxX^)(l&=E??2J%#6IaJqmd1YHReE;+WJzxn%;J%l7{4Yq?K-
zew90=e&EbptdzbaV@~xsOlQK9GX8nFTW?_QBWo@Bo6NPHEddE-f*=cxx1v^~B})9N
zpWFW-56+IJ=1g86&ytVEipq2!-0!Yy?;Ej+@Ar$^xwTg8a9e2qmx(Z6?Gd}tGL1~f
zpqK<zZ}jdBjg^-wSJ<&He2xJxv}P0F;K2NAXh;TJ;NZA-p{;v1Vgd6dGJ>%P=iC9=
zyiSl<y%YUWUPh)Ftf<?7i__TZi=|wwgN%e2CP4p|B}WSq&GvAbNA7-qyfvU7blG?<
zD%wSGxYZ9eo$whsIdWYRs{V)R$TDlY)}9H>7;$eI_0Ca$B6LlE-PwIhYd^7Fuo#f_
z8Rnnx(S1DbxZcrVOIjbotndPVYBI>}waSyVrSIv*%q%f^Ib<%{kD>XWv?TL<Xha|*
zT$jtoP<!Uo^8qOlGH3$Z*zywaNe|8X1_~I~|NQYxjX^%xY-<(NLk_7T*b=Sn$@uj_
zl+a0_yRGL(gEwr-e7Q1*uwshr7GJAYa#U968B>#TbL_Xb%-qtgN;zNUuH#KQblTtg
z@PM4+G^dZ`E1wN(>1t47p(X7qJ{=Y=tRgI2XZ4v?%$VKVFrv6c^I?pihAr$q_){R>
zJHYC5?7i#t?#+T84KZo~^$TH~2R3<6G9n~&8MWk%%i^md#q_1Q0wbwx4@z3zT>qg<
zzAJzSaL6W*;+8=vxC%PXzr7suwW|{d^K;P4_`vp>#co3m2?TMn2(3H9IUG7CyWn5u
z>u+yu@@ocWUg+lI^KU8+v9y}2G&d|R8Mdt@o2^e3BNz0V<~~)&i;}~%qYS9?VJyD+
zO}SFf@}1fl*=ApbI}9&Bg4;gzlbL>VbfU+R(RM(k7?wC1&S+iV6V^jcl9<LMVW!}4
z`8Ua#Wy(pY=t~V>FH&U`4~`D()I?1tY8bmbZe8=CVH~9f<g$LGH}4CidqKCVV~p}S
zrJ#s`H`b++$FJes_-7mj|B*A1ms%f3GW9>rwH6LDhtjeYnucf2HBJj=x<S4R`T}(M
zY2Sm7u&=A1wEayp;dEXaYf2q(zjt2egG*`gtv`bM$6V~@740pB{7J`re&YZ)Q#3MY
zD)Tk!V!<Z*r%ZNEVOZz?-)i8cdPg1}p~)?i)3#T96ZXDko^fXP;`2X7^EW3odGtM@
z!umEndI8mfQT_g-N0dxVyY;SlAp9>bFHZ-8A`!nvIgX{iJ{8<spymoqyw(!)-(Yop
zp;hI?RpdCVhE5c)(!x{$FUSBZu}TfAi<XJXy=ol;U5zU$;%8*6LCg<ZQEnf5#eHSd
zbw(MUoyQ8wsKD3QwNogN!3s-gxuz@5drd0fR%QN~vu+~)A=B}ipp{o>2!B3Re$j`_
z)p2AvxL_nrZ<I2MiM9tkHp3gMqUP@j@Jfa!NJ!gG&b((EwlwB;&+z-t?S7`n^p2>z
zTho@?JF9TTsqUp|zI2_f-77Bb5Z88eoh<e4IS_0<d@>Q|=0P4aSZ-b4u4R<DdcVwW
z)$v68#9)W2u6D;h%PbF&hL;@|^3685Hp~{;P)eYYm-qegBL#*U(8XvtuT#S6s|O6I
zz&oQV^-DRBco2U8TN<U>UsipNrvAuzvv|V*QRCmZe0A5|8I{DE_I(~HWifJbJ2D{P
z5!`%RTU+-C!B9gIDElBX937vWnvzja5UL8CzdMQyM|>;q^&U#Qz7U$*hC9@lqv((j
zPwlHaF>F<MEBfuVdkq2cfw%!to4H8+8UE`e?}Ygs;<wG&DVcJz{^&SU@uV=7QnJKa
z+s&FG?azB$;m=cj&kKFxeN!Z}YcHGU8=}^?_eTM3|CF+^_p$0?9CH5FflQxXdI`hz
z6W9vwR@D}ey$qq7;QVx3;6#D~XPI@OpKVETWOn`@dWJslGG43h4uj!jD?00)#SK2U
zNgS_tOVq{u4DoLXq6S`_xzA3Wmds1Ff404sHJ2uwFC8Ku@?Lz9QeuUOy#AF$*LUZ|
z4*TvGGE~Ln>qdZ5!yK8z0t9{pT^~#y&%nAC$<p4Qik0;+@V0`nF>OIX0eB-|K7LI0
zUaga@;<iG%kXTSZ`W*Y=h5}1t=hQb{3qGnyEYxE`xJSX5L|R2fR6zl^qN3uIC@w0>
z2ciV@_4ToFaTPQzw6#5aeLL^qHNm?~qt)wThp9_#w;FNEfoWZ@eH`(akVMsl^;(53
zj#YcyQM(ftb{!a520!syYR-o<-m}Ik&BlL>QkCoS$~D^JboG6^x@c@x^*3}dXt<-2
zOR?03;CR@$F2U*OnK%xrP{oNsa0AD!zK_K$Rq1OoYRy$?auvewY@TtWKa$!ReTnK?
zKX!7-?D#xVsC}y*x8>nQ#X9fT1Ya7-GBm9(J{)c*=t}s6vzL_&41Znp38xD+!21(_
zgz#gky1gNtMOO)ltR-_PSzX>2gP{E8uHVri=4NXntym5=JpPZ&UyY0hD?~~vNj&EX
zW3qn5iVO11l%nI8b0-&=9IO~)ZFUh*&jEO(Wl$+Y<fH>lPfcCjBle+^)Ny@hW8)W3
z&-Tfc)MA_>iT35aqr%J`9`o%UMq4xO!msZ<EiHl$h~!7CGNwU6W_^BSgb<CvUU!G<
zWLT2_ed-`4CZ?2Y!h~L`+xd1>i+{{SK&PZV4l;dm-!e{kXpH*1xHlZY#=`i!)@DLf
zr&O++93t5FComs>qzTU*gZjL}yh+!rcF?da4F|`Hmf80a9^;ePgFP|7rAE@QB&vx?
z-{5bbs0t>Ox`WdG(#Ym2lM?ow4_G46`}^b1wkO@nuidw?{-i}mit_J5VH-t7sV8RU
z6T4=>l9cEb13vFEaSydR%B{V*;;XzWTY*rbs%1U;dd%j9hh#`f1O%)Fde83g)*0#T
zHX=z{pg8~AYv?HZ6czDAJ^r`Hk>8eN(3|Y+nn|DI&Ldpcn7^|aTr6%i&fY;S4hpkU
zw;wxkBrTGxocQk>zUAn^byR+(ou+C+;$R_rY@@94PUWAT;9(zTq=Qh8`Ddg|o4~)?
zJ6=9*T2FpFb(>d87KN97Wo2cwE%$<%jm@mAEw}we=~|QiGyXMBfvg}~l}1pVP-RLa
zEC7!%?dQ)gaADp9-NAG_P+||j8gLItlF!3Bqk)}qZ03VOit-ccSG7OGjIfavvdI4A
z-3nuGHS_?-l&?R@?*+cw@0sYc#n@YN{8WozPNd11OgOWI=2Mg3Dq>;Pkvr8ouQ2im
zGQn!Ud(O)K0!dzv($@)@s0z1#>hP~xZ*R@2)kkbp`;STfx#c)D&zTMnNO|n`EeYdw
z(nCiL`by7xoRCb##qnp^zg)XP;TZ9Foap9%Wc)t8BFE}qj6Vh9p%|*vrd3&-Rjl3@
za;!*sm%h}QzxgX%);;zBkCsk}@Nw7BcPS+L0Dt^Ntj0Hz7Pn(LhgzC~5(D$2NssRS
z%XyN5D#IB~(z#Q1=&U$U!cp?4LxOd$#FC;i<(o3~m}T~}{Pz6^lw2;Z>qwfK+(=(i
zeJN9CREJBmnd%h+%Zk_Es7?nOmY32f;DsnT2R!_z9pCv{ph~Eg;3AV;*@s}2J*48q
z<^%0q5X#m0KjS?AfB+gMCRkf5Fty~109Xozd}3l^jVk^bm#|ov3NiKl;}D4`%-e|6
z(nn9(<r>ziYifq`lv$xc0)H0@3c21tgMflP<p_ju6UF&ch{e<fahD57V#VV*rK5^B
zztz)|-NolCAh($(ZsKUzG8hiDfpPID-ph-b$L(`SaP+6dixmtgQRP_!SZaBBh(ce_
zP-|#z;1`mzQ5tC-@q=!%is*ZQ?)Ja?)}j_WMFtl7?FH*$MQm((?|*agP5-NW7xeRQ
zsbTsbnq95)DyQM0_T*|Sr*v53i;!iqhE8BU?VA*zJ^5M6!lJ!7(CMf$`6ME$b3#3r
zhGA$u>E%sqjUw~cxbh5(VI&ph8Z9%&ZuHO`8AiMeYtF?dH8OqDIY#(mT)QhGr;I&^
zPrW_F`*zA6);g~gy1VvxkYw9d><T^IJoy#lq*G9obzMo9OHY|j@4M$|6W_xnTC8%z
zZsLfKiY;!z7st*{oO2UEOMBQUuR)c5hClwpf$i7qgSIElv}RLfWUv&;%6b9h29MY%
zOyDOaAx<{&_2+}r`G7+Q9bHvH$JBcY&I134Kh6joH9px$a-P5Q@J;F<LOy_SU6^)O
zodrkw9|*xQ$DAW<JnyKt57W5PLJU1djHI#iEi8l0jzA8<tBRAT7*6)$pNC@ez{Jeb
zbu&i?L_&O3Vdqt8WsdoMO_>4;Zkn)xEjcO&Qy*W!rW99UWj7YNjo;2~gU#_)+h5lf
z7riRKzNYd<MJOc#yu)j62d=i3UW?wvvo=mtKeVv3wA8k{$%JkF+3StlyCk!k2CGAq
zSa*=gYgJiVb19q9B_`tLOn+%+<vnBJ3By9hn}~4^)Umrt()*PB@~=<e@Ls8PvXXj}
zU*?z<6?MHtpB@E=R<Ib-*VunphKqt&SPz#*kr{BT-YZi?CM<vIdt4H6Y!IoTzG*%m
zM?FiWOTj@=$Lm+hg}3+8p{=_ar+fN`+cHH|hIBIb@6nWm@GRN1KsU*hFY?Rzm2)}>
zhRI&@!%I*XHqJg&0-BWV#)vOi0VD1NaH%7c|0DtzH}1@g7v``0@09jr*c+)R(v8*0
zU~vapcT5;(;l>6q9r84%%1t^TBZ!%mHSBq$#JcJ&lffZ_2ga+NMGxj7=?Q2c0{tId
ztDg=h?(_kf*y@j3-iXy*;*E{nrr(U$Wye-+P3N#o8Ryv6xoGQ_=@|aZIHurlLi&Np
zf+?1xxTUqo*gIZSRzy&mk9z2dlEd=tr~?+0Wf!KqwkyZ>b%Ta%Jv>EUw-t4bmwz3H
z2r?Qd9Y&&=%!O8bOfb@Mw((Xdu8yaBzfRQcuVZ43@3k>>K`Q0r%~|<(_9rub7up%m
zYwswDLgD-t4SDNNNA?GL-^Gy3wr8wZN}JzM-FuTQ9V(wFU@J{QZ4(%(7MWG5R=uD#
z5<WRs_{Vh0|DX#sQcb;kUO5x!reEUwPR!PI=Fv&TB)9xcgEenBaz^B&(nQHh>HSUK
z^K@o^4`0w8`G8%N1D+~>78l=&h&(_9Q54o5paNTb6gjV?goWK=t_LWlVqn$wG4>T1
zJA1|8bsSs!ZCp8=VweopD`xK}{5Kb9Vi$gMP8Yx_x_d>ZRlc*-X5g2kw>X9g+`JEf
z=OwZ-OBWej@iMlivut-iLNI|-g1aXVI!if~m51yG`<J4|Z<J}z+qov<_xbYIw->yk
zMtf(MAgqA`d)eyMHsPiYBc^Qdp;Sl29lG<^BK`V_OA6u4#={mAIBW&_t*BM;)I8k7
z^EA=Vo^osjFytB#M93*%Du(wJ_ZU{Be+$VC*B6NnQER&47Ee#e$6F@E*;QBS=xfal
z{q!%>$PJZy+M%OkD2Pf3{lyZ8J-1v~YR`h`zFyx_{Id*B(S@`iiNJVYlHoPud92{a
zp$<QoQpctKeQ9e^-cjLYxcAp^3in})KK^fiqya-Z8hL|YbrJ!ceSuK1z%So=58vO~
z%-Ei;JZ#01gt6=8t5=|Xl!E0eIN>N3YP`>u1FAOYF%SU`N1Nl48^1%1@{sAXR3sc%
zR2XC4FLSEI4s>=)&_BiAAeL@4);h}nf?TvdQS%~#R!HJX1mr;EMJpZauWTwZhG#55
zhxQ>0mZ)xt9FgfAZ_iwAqydX`o<l$JH^KXGx<c}6dQvMb%NSWISph34tfP41u7aL-
zs8qP-B6EB%{RGP=)W8+oc!`ht&4G`y+R({<d)!K#^WQUnf05B^XzXS)sg^DJUR;Cy
z9#&xq+4*x7pXwyNktV8OCLUf7Uk@@et_QphI**o*e-YFbrjw`6Ob?6}bCKYl;CJUn
zwkR00rA6UblX1i(bm9#{3IHY#v2)z%r;1aG9_)-y;Rc7wBS91qS2gLiz2dP$)5Q;)
z#@v2Ib7?>4s85$veLOB2${F|BBURaeU})(b!|TusEPxdfxNN+EtO7z_>+xyeTXpyI
z--v_M%q~99&8P=}b;J7zp~7It?Xjn%LFu~#T8XYk$ck7cunAtP$`p23@-n#COIog(
zbjtYa=E->ZnfjU|YG#Oq<RWRUNpb#+hv#L58K!#OjAdzg`<}B!w{`iCU!H2{>FvcQ
z2gov_x#v23u!>Il9MmqwxLQ*b=7N(_!_oOjT9boG=-=7!TsA@9O62J4g)TaIHM-8F
zcM52#q5YxK8lOwYv48(7o4xDIeU>~V$8vMYUO}OrRld0S!w-n(Gt)z<*&K5U=+OlD
zvs(fgjL+(qXjc#VFhf5R+P$7?>lfATCE8WA<Tw<}moKH#X5|^)&|j&EX!cA*PcXE2
z`Yp4H4);e~cZGcH6Vz};5xUoHqbb|rIjkELcfQ|N_=r%X+Hc`QTLB!wg{7r;5J9s(
zko<LIa0B^&OS&fPB1W}ei2ZjXFt|TRNMxj?rL`9W6Ry1a`f^Yz?x^_7=*Xlu4v*%_
z#JbYl)e;l570!JiDVZlN#Egh;O6wm3C^2{dgDEgWj1B`-hPMp27h1D4^4B(&JaWC*
zer$O95#}rSWj6<-exw|BFkf)Yxjv@NF?p>H+WBosJPw0+anqcKDma8V`)$hcUG>dl
zOPHbE)}-raW@fMdrOZ;$V^gWoe$YKHmd9rQf^vw_JoekaV^)Q=YnT{M)}aT@{Nx#3
zHa%7LE04WPoA^F1p=_a8l25woiOHJ70>6W;7{P3Y@kZ1O-62oz=TDO`d)o?&x50L-
z;*W@eJ9FIHY0E`_$cuam_p&ax#B=JJy3i8AF8U@6fQqM71Kao8W3U46rz@-#L}=-)
zjbp^^J1UCK1xX(&A(@=i{_rZNxs!C61o8zTt+q<peaq6!L$RB;c`uD?TUnaDb5m>R
zQm4;{J6mw@;&S*krV7tPW)4_<!`6KyBnte^2;LYND5^2!qIx4O8^gBAnkzQG(R<CW
zb!GL>n$>Q~nEPdt&NtPU5h{<8gm-l9W@yxT?{-FaJtA1aeRrduf4|7Sz3*&gEA@#T
zvLY%gSE!X&ukUInJ=5)<QL1YBtG~00o()t}GF?b?bPa^^>fO>*(-0SzzFK3$HJlA4
z`N%!g)%8?Z_hLgsH)2Y(gzn&%8g@tL*30Gt#uR}T!;T^!J|93kM8xxGH+Xn>bPWw1
z=l8)J3Gq(t>}ZS+ZczU3Wdbl?B8l%~rTHvU^y|;;pj_02Z1joA$ztsml%e6_NwBVJ
zxVh#5T@8Zx3&t+P;G?AeeuT!ALF;48A--h)R*O5|KR@8wegOQ)M%TMsZ_eiG-`VM%
zOQ%<e-O)G1fm*aJQLk;S)1oTbWvLJA^ZtGMCQ9G@m-3w2kaDs@m|A3SOgv`=r4Od6
ziw#$FVLI!)y(2D<?!y9HJ?7&H_zlyH2$?96t<P)9bfj3_Ri>*J40U|f?7KsI7feID
zS~x>ozxn@gANSipfsGDpT!VK*1O{QgcP~wia#C5HLZG_hjCjKO@_?6CT;wZOyJjVG
zTUFBhC-R(~l)@ig%zTZ#7gq;cKl%Sw8wkL@6kNRG6L#xT<H6|+kcje%SkM)G2anEB
z{+r7%px|k1X?-ayWCDKuD)_Co{{Fod5_E;&kAY*V;M=#IeSPf%1DK$5Mx>bm8e%w{
z(fgKE7W;p64dlEBSX4#!+bW2JJpinc<?1kbxVS=MV^v=70Gth?y8Co=bj{7pMP+3p
z^6wIc#&1XZ`jW*-T>7j{*e1H01wgCxnmVe*<745IxY*ud(i<x1rv!Bfv|Gm8h9huf
z+xNTwvC{LpzJndFVDMYn_J1fty=}x8CMIZw{fW{>BNS09I@vFq<|dvnsJQuG$B{DK
zFjy^|r^mg0=v{+6I5$UZAZvnskmLDNH1&DS^RVvs((zqfqAu$#{gH$VuR^u^QkjDZ
zEUR7w_NTa~C^7U7wYj&bXp2~MFqV}*YMt#te&{vH;9B;hQ?Wfn!8!DoCvmt*$&ND`
zz(l|r`TC?00tJD<IaF=8N!S4|DtIa>)8#6|wXrswi2(#fr0AF!X=P=R_wSLVMmevc
zmz<cI;v2D|qou{?FeieWCAYp0NR8<-zB0<?yb6p_hwv=+Kvc*-QvCiu;s@}4X*W2B
z%>qgJ13@c(bG>_GUUQwqR>p2NwFjISklQ=*-CWx6UGBYAZ^yn)Kd{ExR~#~0AIA0)
z3{+tlvwL7Coazz1MDL<b4C`&3%n~8f<vFS9^Uo}$!opBJJ-Bg_#H&Qxif|d=pA>#x
z!t(uhPORDTT8JNT#mLpBhCAz#cUC^W45yPaqIKF>8-KUTR<EphYV({f5KEaO>XC$b
zc6zBghKfpgbJH)Hz6{1At1Zd&icmE@^y2qXTydX6fxpj2GCbSkho{ohGWI+0iQR+w
zR{B*Jw=_l)iG&wYc*SgXq^h!~w_c9zKi`SGvSQs0s1rd#r)uJitstA&aiT59!Ojl-
z{o>(YmA?`P;ml7m3*ABDVQFPWMoaqxF<n8@Dzi@Ockb5)P%}Yd4>%GD&~(8V^F7#T
z41#2B=2r-a_^o$lxTwUV8$sYmx-pUDav);2Z+x;fiAcZ(pVOa%hMW#NM8JkdM7ko}
zYaz2%_Ei?%Hz5h&aEX8X2rQ%U$hpg-56M!%(-zUtm^0Irr^Ug=#XUPavjo+}fAuB7
z19`yxor%W9u9BOw)3^C+UZ8af^gmiB{XNa}=x=v`&%f<ITyV8L;ofhkTEdAMJmo<M
z=2h5@(4a4Pps`Q<UUZf%6L*L4U@}TdR%ARONrX6E;Gm?)ApG;wYMzS5?vw{qDBi$e
zeWmg!X8HZM)r?>%w_uxp1|g|h`hHw@RV&~7Mb@ngD><9hjbI2+Pbpmt=ZoCC%v1TJ
zWvVzUES8^5QS&^iXvEUn>D1zg)yO<g%{MR*;`f+|cpWie>;$%&?f9ffIoll*1p7If
z`OX)h>kgEgj8B_u*4Q)j^B$rhfj3~LW`i4sizyQm6C|#zgZCvMJ@tzxKqv(mj|SXG
z5u+Jot;5g!Z#4~Xb=NL`+6jCgvxAlcz`KS@v9X@Xflo-NqpvR{DCh~w^72nN6%VuI
zjD^rpBe{PJ+y_;}V>>;{)X#Te+6|tln!t`XWq^G$=&1I-D<pFJh*Rk*SPBD_*XYrj
zt3(j{NB_jK+w&Xk_z#=2^PyXboVC#>)BMT1iG^n?LvDSmRJsK(_1}~#^q4Y7kxu3R
zsj(NkUtumLXoOn&cHZn&8{L;f<ft=da~!6Gxc=cxjivHK(qaZZev$O-2}0%JI^SqJ
z8>n)0@cOiX>=bA<OXcGli!k#SmIf4pgUf?A;F`GmLgN;IFC=h0NbouyOLa(y<!<09
z4)@T48XJIuTQ3-KOWz<T7Y`fV>TYZET3FEekC$sQn1YN1;?FuWQ^4Us!G=*Ln=Hle
z^`7GI%m^WmDl7b^0gcOa1diO3+Ia)(U53et%2gcLu)XaeNjV#ox^jid#F&k|P8ALe
z2{(x!H1E3Ak_i33SI@z7+zuk$g+V>rxqX@h2bZquR{69@N)W33lELrY#N(q9j$yKs
z6QK;xD5Cu<Id}i&n{Vb#&<#)Jn~e|0fgT>Wz+2zs*gp-@tRg^$APbI$xvMk`42ZC2
zBs7G26=A;su?8qwpwPjvyZldOO-SfGKK&3C^}BDjiYRR)2CC=J;oAz9mZPTeVEUq{
zIi4v=3RFi@w==Tk@wgq@|Lr=EJUv_ee|Q^jkIUDgXYdcdU7!%u-Rr23T4Eu<x~L2T
zC0#OW6c&wQ4*pb^B1j4wFcaegYa-b6Q=TzY`Ee0o(?uNFAHmOQ&?+eIX-~+bY^jUJ
zsQ9L9vu2Zziv7!JzQ8a}Lxke6n@)W3^?h&;gCq^ENwpgL{INh%92~C|XZOLz#zw-9
z*<TE=A#`_U<{sZQa5<3>(pM-f=+L3Okq=rbDtZapJqar-X2?+2ZvOTl==>!Jx3EBj
z{Rq4Y^A)<!k2x~m^~bQ@1Hv9e6@1Cfr2`Ao4tVmtaU5{|(L4?Xh}ZuG_wyL=5p#CH
zvY_y)cKBoXidLSIy!spzCc)84LKA!WeCp-?md-_IWp#X<36bAYW4J1WbcF2GxufFz
z!?JOxtoNrVdE=qcwq6?`BO)e-&pQKX&qS|Pc;aGas%2~a{KNtl&Fi+uz)%h@d4vHl
zXcsQQaQjzvwT_Vy*x@~ZS(BQbJra>C2M;slSHBM-=ulvbF?T|F-_vc-=#~j|T|G(s
z;4hQ3u?c>IXIH25#bsp_92`+$)RJIH26`>{o9D73L_ZrD(E#~+0i;1XP*4z_aABPw
z%%WE+`jdF7UZf>(Jn`AJt-bwvGyZ(-?D_*egSg@HA_eG<AAhfn{}K1~kv^3W?4l?r
zz-q+hbE>Yif&xpIFm~GJ*Yv;1;Gu$kX@C3*_y~V{N#Jo0AlU%`1bf8Cn3!(>*+EFT
zvSOszXlQA3uIGC4R-T{yCvv?A>0YK+`xOi-Fd%~5k~^-J(U@;dt*woRDh9jdozHo|
z(A6<BQ@>hXSvhIsx+`Fa5BPUUNr?_Pu<@SG*i@?XJ0BSqXw-G($mgEH5&i?KD>!kt
zEOn}#WzdeG5p#zlJi*{8gUsw~paW+2G^61RHn-VbERS~M<)C}FqEGzKQWdj4n{X%|
z8^?^k2Z?2mIXyYilV|$w?4Lqt2ppBCb#$J&HHdD%Gk(5ojB_V;tk&hj*(rLurcin|
z_M>hu;g!FCn|!gT@i{G@!Gi+cKsNcTBCwLL&X0A$@W6I^Dgr2xAxTM+;7ABoJk3D<
z2d5HWxDpkanDRQ|D*Xt_^~Z`bGNFMaUeE4V%UE2~mI3Djgc^4CE~=`k0F5bL9YdoM
zmY8_mc)B~5KdoMAkF&$TR1@t#;xdI&123uJT_BKxsEGAv5dS<8A0?u{(^iyO+t~F8
z@O|)a{DKbkQTHwxp5f-4f2W6;k_#E4*PHv-W6RA`qeIJ)CN6t3kIf-Bh`fGxf)hX}
z(N_qPQVb|Q6#HdzeACk@dF;3Tq(^D!KmyUtd3<DK<mh}92r4;u#-`2d`mYdX9bk-y
z==z~X!&`VK$DWkvweu_Z-l)NN1q>bz##Akep~oc*(la#$*O>h~Nvc5D7KY0n5-WFA
zxf<k+jW@`9BhNFT%?OQ)>%P9aP%blk44pF`lR0<UX1|m_8V=ePd8FrkyIsLgEE0hV
zN^!m<&jTjATn*Y-no-PE-@O8CmD;5(FX>!sx$PyC#jv`X55(^auR<`r)u=Kph7q*9
zjb!-E4mWZO=N#gpyz*b}-2oi_V*Jr;99vCQabw+F$E@>o{%KWIR#w)=^J&m^si@ah
zN2I2b!)Jz~HJtHL$H!T~a0%YagQKG~c<V8E>mkT)R5kbdDGCb8%{hK^>V-}315mFd
z5>jTgKD67d<j-~fF8=i3Pa&J<HP>gZ7?y}1WFF9lzr~G7@TkmxjansfqxN`5XS|#)
zi<XXH2bbOsyRL%kng|9Ix4@KRPbvN~<5ARq$K!we@R;D}+s$BA4@21Nfnp~0YPl;{
z5TO|pIi$K<!?zz36N6!E3Oe4fzMJPR6FF5`B^)ls>9G@H*=2jSt-rJ8@>Fn+<dhtr
z>n+owRN#5}weP5jqxLE2a5Q_HE_U8W6#Oeyc)O6Em$L4c7<vkxy7RFU8oyGb>uVaG
zk>7aXi6qB{@Qcm)Sq;B?O&}~cK+SOPi^rXNe0#;ql`fni!NF3Czx@6EH+FX`zsX?U
zy;3O5eXtBvuM95dPoF3}JUm+4+7J_xpWj39=+S|fr_5|xVZ-rw?p#mU=_WTb=IEV4
z<h2`OL`>wt3;8gP-dkMBLY`T);`YeXO|@#5e)cwR%w#Hg(r#hGb}RDilr3K<hS1S!
zXQV*hFGqxEYHlj)VVTiJPnZVr+0_&Q@cHu9JMm(sbC`%tzdq=E7zNbC5GW6~{%mda
zz+~n!ZHMs|WVH|$<Q}2d6;1;$ayU5BSi#DZ+hNCLdK+x{mcZ2(X|(%_<Xw$D2gmF`
zu=<DKh2Q^aS(VC-agf0FIyx?nzw0gLT>;6F>7W7N19x_HHP6j~693I8IsrtwAjTGH
zX#t411(%Ry&=4V#5S@PNg2@3mfjCYp>RK&mVdE^*dLLncWPjj(-kf7j&dng^U~W1y
zR`>m<e2*--$m1gIKW^-j(g*x*@5aj>F~(mU1g{}yv-dM1aKXQgzkm-QcmPtfm8z^M
zf#P4kSdBxcFmt*&W_2?bP9u9C6;&{Ilm$e-a7iM45lThG9rwg@VSOQc>pf7Y*)Y9R
z16l6yF+sJ5-h0~oaBokm_4{KaggXU@#vg<0C0PHa%YdNo0l4zWsuO(<zSacmgG%m%
zIa@I2;<4YMgZ30M9`pA3fWr(PLH0W{z6!Z@sm+BZe0+QeNi`fj5%g|oj~;>Ul8DbG
z8o>$z9vt8GnXajs+3rP3wdG$yMC1rDWubesMEhX6q*y#r{)c{3-ZmbA)90zOGz|Ga
zHF+%f)ZL{Jm_lFM_u2bTs{^zj_mGYSWvU>TvWxZzg@mH~3XS?&7!U>;FO_T+5ocvG
zK3ulbyHAehAwdS_4gfIbtr7}ouu&__XGNj4^bHEibicWV=aoEY_@d#urX1F*mk<kp
z;kpGk8A6c)vpmAF5|oZjJw0eJX{zKGkep7L6uutWVubHd7Tl1~iMd;Wab`LF&`d<6
z^A3*H|3lVU2UXd&?H<Jh6_rL25$Oi$Qjn04ZjdhNZk7cI5{l9d(k<NxNVDiJY3c6z
z&ij48y=V69Kb$e1XMnZVeO+f9$M1mmhl+{{$q8^I-l~Ci$)?#6gj9fE{|Yj{o-9>n
zbeur@hpX5TtOnP>zRU4w1tLEdLRH^n)M%-xeU6USjGfC3RyntM$K<KO<|&LLcz!%(
zy+VKEz-~c{zq;~h#==@uBZww~Qw8bxO9h|CT-;h}XNNrw^QkLOh;!w>UYXS0F~ui{
z+vd(sQT75+ld4VuKSn>~v3OtE8Iu_}q7>ZL*Y|yM)28Nd1{)gUM(9l7PJId|JLJ<x
zL3s5&3W{W3L96dnGTe^KcwkmCgwGJzJ>$m5weYa6LSm1@%3$DPoI8L#-THqg-@lTW
zn9+AR3;;RR?gzOwr!a_v`4bZGY+e<t#ncRYIiQ-PN=JSuEp^rwJ5`mImOh;OE{lLd
z|NQxbIHCbM-_JccJWK@T9Vu0|&Wr&&O$&XB_~P-&g;F<J7H8Z~XD*2FT<f@=bpV8p
zuPr0(tv~3q!tMdtsp03PnO}CM^M7d^@h+*6y2h1O?izdS1i=gA8}^0={b?bVXu3B(
z&mas2R(COAx-th*4=(BWl#ovdHpr_750m9+A_P5o`_g1D!f##$WPl^A>Di31zzUgB
z!w?So(!$y9L=i_<jo6A}B4-2761l>L$_C;+X;qMC+A=+P1)tGJU#g=-0ZZa}Il9k<
za2*RnPZgPjt#|Ews}e}ZG4Q|~#>1s`j1kMJQjpQt6THOP`7<bKh^-B~RWa<o#TvCE
z9^|3ENau1G#dQQLln0~=SMaCEb!8tN-GwJDW401{5~vWo-~4Io#REweQqvXLO{v54
zT<GQm$I9mC!MO5wVp&EZD08HzD;YKoxQ(}Kw+sE=8@_MEzUB1+sZDzZA`~y&BvV4b
zdJ7}Jjk27wvIsEu2ZFG&FISrn;xhzboBC9O7F6KQh++X=3J8h*$t0`32uM8Tv+D5h
z@K3Kud}iwH6z<#Icsu_DDK^y#)~{d``uM|xTKJ&-#`Wu;xyEjXDkM+8^<sK26D0{3
zkk@UT7jQteYK{gv?N0m}#)V#7tm4)WUVk}R2K8T8;LrfUU@V{215OJfB=h&)y?e-K
z55D>*IKmPJ-cm|H&aWI-V{ZR}O)cT6zdzQb=YcjxM`!28FsDjcrR7Rjf*cWxUH%~q
z@ikx3y5bRp_E3PopXNhjeeTb{7Dj%7ets|q7T-0IM%1sjtk)60Xr7$<3yoLz)>g+;
z;7v)w?xoFQNUOH|5Aa66D^36dV7Ba~+O>`=D)7PghprI%6r{fgV-fsC8(bnOpOJ5k
zdO7?0V3Aqh+j(v{WI+mfzA_83F)-9p_f${r!H@%mlarIv-X0tmYHDg2Hghfa&QGQ;
z5XB^%xF4al!JrHE2XFf(oJ#iltLhk&s0&XE3yX6{bd&DbF?)xHC5vo;Y1iNcA@C9Y
zl_#ee5DyC7&{4gvA5sW^BQe)x^$9)@`aLxiQ2jmnJ$gpyQmrVPdZonRWPk|SMY-o{
zPmd(*7Zo_pd%OV^{O;h$>QgsfHv=nOu~$YQp1a~FDk^%Z8_>~Xxfjrzz)^~D2#{<P
zj3V=)AS5mu2zTs2l8H3|%0@ain<Z%{eQ5i9i{UTvxDvP78c>Xv)b}MrS@o2he7a^9
zP5^~!(KTrOmc~l0_bgLWQ{h^L9{8PP%H_;Qi<;Ke%4h8}deA08)6m($suMyKe$jnk
z-9m82`Q<T+&`0o$kupURS#ET+_W1ABqG$ddslCyu(nfBGAQWGC6|yf{m_pG!kuc~Q
z&)^<Yo35OLC*hf!OeX_3#}?0in%EY~gbNM=Ye#2`-+2>MTPD3sgOrw`yg`Oal#(U4
zw8UP#xCGO0U}^^B<S;_M7QlVRa;-;;Xh%jy8k?F_N}oa7`Wpr?K#~aw3!?&I+k{Kr
zz%a_{N@9)Mk44ki&blbT3V<Xy_f8%zv;_!iB!=HL1af456&AL3bv47if<mF(_E%f8
z)eGU)4&i<KvGDEes~R<yAb8HV8h$k(Y7sRzV{+G{6bG|;ayT6H$#2r`nvy$FShSRg
zz1-1{&)q#R{eAw48*w@ir~H9!ZO=$SIb4OKTOHg=Bplk&Mdtk=+LDCTGQ8TQ+Q2iF
zg^mu+@Y20m4lb_drY0Xa*0q}<oHd=@QKhbe^-D(0=ip$}zY~ZLMhfdeuLu;25<P2f
zl|4a-7?n6>?NRMND+8<UHba_upI}av<PTBCZ6IUipHZU-#8SU)katQfIkG}Q+&vag
z7Dn2XuHb$8sBo_hUyLhQGuq(xt!cN!fqaF)_bQ6?2K2Y^OpTNo7w||puw>Q(lu2m1
z`Rmm%Whi~3qD<H_=dLNW-CpigD_8j_pHk6O@V5Nn-ri!<$AGhwm$#CAi&KhC6q$5h
zRW++&_Fq$O4mIN-%2MVC%K7mip+b-#hXB{Hv#Z>fIO|)hJe`$bu(T3>F`EkgcX``(
z``PIxy7y6W;%sfV$t<%AG}LF!uRJeL+@c8NP{{f^HGfn--Icr>vtl#GCQK2!9M?6^
zCXyW8<z7tkN5IR6%-Ev5{%(%en-v3kJRj3Xdf7?8?l-ve2miQ+MR)twBe(1qM)Lyk
z@pPD1mwkyUPYsFe-JSI+P!EEdUk-4qSUwg{DLW@g?9t7xXf|(TG%zB$O;!A?M1e`%
z%w@;bI<snMrS)U*K#P$Q(WJ*@w95GG-ke@jo1qes!1%C;pDlk6+g+51c`p8hr(cN*
zRr2^@*ieRl)CK3^qS~y#`^6n*c2>8a1!9sM*A5QPj^qpit&hf@r-;d`^BJ@U-s)+~
zY7#SU#I;!Z<Qhr9;e6gf8;Cz(fS)OOtDl2R)yVK&)ARFggWLU~G)f0V=BDq&wl)ps
z-`@7gjM7Q#_pzhHzs4~M_w~rgx6n{gFE200l@J(oT<*>pi{<mk8dzQ)qyZ1naRM5A
zRUb9W_AJ*q_0|JYxHh;@7027hQaXA`<tJpt(+iKPrakRFPukKq@-q@ug#$9!nUB!v
zHC5cl)KQsO>%5%5%WifZRm*uEjYUwpC>c&UTKFV#D4yzM)|`s2N_w=f3mWlE)dlp4
z$0r^nJmw!?bu~I`F6u0I8!9lm=5ve0&E9VTC8E;D!G4@;aLFxDP3i2ca&fSSi!rIG
z0Mpk)Nqf_c@l@95sqY}SQ)Ar$Elch(h3<NaWk8US`s^_ENwsK2Bq;`avh$9ER;Pe7
z)q$(Gixf2ml{QaHA?u0xL%yuVFE7W+E^Rgr7<2@U!v7OqA=rFG#fU)^X%iLBe6Bn@
z%*89vo{^e^LG;xw$QeCU^>FTNAD3r5J2TOuYga<>mbT*Tu<R&*t5xY842KSXy`IQ<
zj-WGM8@%Z1%=1Gmba_)LH7dh)H8{uT7rGJ$qvk3tgW$1tph5V_zRCPGda>J<4O%*U
zqqQ7~O$AvR2h-8H6qju1+Dw`^$OgEbM4mefuJI6HL~q}}lj~92RG{g}_v>##=Hf3u
zjaI)D>mhC@ot?od9vjKMdG|np<w^gG2fT&H+wVhnSaTA&31-GWs0Vjt)Ktxu2In&}
zm#+*<T<4++^ejK#CR-6oR=1thZf+XkG#Xd5R?&G=y=1O2XEg3;k?GCYKwYEi>Dn4b
zcB4hIVr7^g*Zx@M%zAHr!|7Dgx2UqKj8>7T$FnJIAY5pw@<W^-2OigCRL9@b56hPa
zlR9hJ4;4DA4@YYXzp^D~&J6pGak3rPkB~Gwd7g=EcVxYxm>ezizG)IX#9cCVapsFR
zmO1p<^|~|LS>rTG^PTv!YXw2ddH1?VC%VRK4+gpS{UUeD{wWNox%VznR2Aec7!`g`
z>sSZ~=faTniJLo%jeh&^WSpJ-aBPU|-M#5VhVfsyO$8TRR&4H<M=`pEct2cNYQfuC
z3f#+ul30v?_naejymS<1hjDy^rVm~VNVGElJPXZwc{WuE@1J1@3jxk5=5t+rEKQ-a
zlBR;GTMz2EC^DT~cV2fHPWkG<cNBi9TAka88-uC*=;29MJxO!!@<ixC{3FbF+O{|K
z@=$WK!$K8Bi^UnUmspfD*N=vsim;8**{=q|H#qin6Uh1&Ugy<3JU+hM@s=hicH0bn
zsA_#)BecIxJxn-t#xe83mp-`m40Y;oehY-jh66kC24NltQwIg0dpm_HWd3&Eg}-y}
z#20PaJA=2>`16jpGcU3q({S$P8rbJ_{43brTW+sCJ>cRMovc=VnNdJaIyf<2yoUP1
z+0D1xrrmt`&^k`%?961!!nnItiX#ZZ?$(w+41I_%VLz7Z%%h%AtrCkX=E1OL8f##$
z6nXn_>>~VvVxZ^RyLv7iks3E_`nN<U+so9itlsRovAHP|$ueafSx1(J1(4^4QecR1
zy<}NxR^$kZy_mScRGc-+QE?GQW9;FW-Bf@rL?*0Oni+`}IMC8VQ~R1fJefybw^=U8
ztd->@EpN)&Sj)0q#o5@M-ejo-(Y^(uPJ@Y*8nAm10ys&a50q!1wY4&Lzx)*rG8jPT
zXcULg<N!Es4Y%?xR*3qM$N;riU;Gl2?fn;1^9!LNv5L~~!lB*#<o0}3Y&d_d%!QZ&
zla(S_uuS8t__xf5vzo>_*u~7bau&~@C`Ix*(m~~p%z=>xJVTNCbsWE+xA#?OsVXg3
z0Z4xdF{@vxRxptn_dcoYDYDpa@qVh)Sv%|G`9}DLoStr@^~sxtj@}>l41@@!Zjk9_
zs|l;k>xJLVoX0X28jIcvcK(~vHFV!@e!bAE@qT?&({l5D;dlFjOdbadAP>A@1Vy0!
zO+8Fa;dD-xy0*s8eR+b-tx~MgLZ?I8&Hj|1f?4+Oh26b;`b_uA$LI<+hpAG-Fv1B|
z6$WyTqJmN;@@GoQ+u{c%TfZ#o``PoxSxZ<M$nj*xt)rk}Y7d`^=>h&!J#gq;kC#CA
zcF?aV3#ntMO=xb}Owci?N2&66WyXQ!oTVx=zCq2v5C9z~?0bd5p8^t=>({UII<2;V
z>RbkPyD9#u_H^F&@UMv-kRCiXcx1LJ;$e5pVi1bM;slE=evTaKwaP==?bVMQbIK(A
zFMWK8ve@M0b~Jr_AFP0f$cM6P!f9f=xLLhszfmAKD~w)F=x<evFR`Ypl<hzHCZ;oE
zEWu9FEavzx5_1=m+824jnz(_|UYg{;IGb`uT%yv%9Oojx32^UQc1oo{jWbt@FS`DU
zDl57`PPR$#aHX{&AjhTdq8W#8e=uoMh%~q>RVzc^<{i$LebN^YXqtBq>uTop)8dit
zrp(*7GO=G3^OW?~z5Au{NK-BMY0l3dC0>F*VyiB?yv3N(Iu3t(c@;T6BZ$nlYWgr|
zfD%N7ksD~Rv6hjM`3_ZOpZREFD;+4xiyMTB;hZmSGz36svz&l#fbRqIy1{YoH<p7j
z`?=cO-xPQ5zbH<;^tR!;2a{0au%!2I%!4GihyoJt7%XqKyW1>?Jp)=2ZrhnFoSdAy
z8&el03u_pXDfeNUhFD;rx22RsnwJxYH+6Khw0aOpiDZnvL%qh}gX}ULuOmtr-kJa<
z3rhACUj2`~MUl7ZohQ%D#-rkK3KkYc?o+yPuY{d;mSqS;Jj-RL?rIuPqcKaT`|*~k
zITiEkH)WURHOtErH#W`1=*dhpj(Deat#8&1o1mW1r<D!vxRj0b2@aFit}NP{8~bW8
z&DQFy=}t{YxqE1pN4-!lzmLss5arI>@5ZD}!@xw%k@mG@k_qX53EU{Xt<L{5>g-CP
z=N~H;h>g+W`5wmrjrN+b3NIxc<yp+xqjZ2CL`~(zO^3cazvZy(*mXIqo7-VyGIo8!
z-0HWUp&^n`<QO3V4LBEcyuGH+_|Fe#0rP$XWKkdpL9!sh%YyNgn%W)~LofkUhj1tu
z%>reXaAa?3P`L94K3%R>=39rT$S~9ptB)8~lg!$SjTi5^%ZC+IGM_FBKUoPUrQ}U=
zn!+gKa!zm*XV$n@(aY9-l@P}rR4892k3N3nYshL24W;vwZA%ReX2<f@V#cB@ZR@1h
zTh}x<uR5D`7Sl6JtbD^?NVWIVgfQN>W-4uJ{aPlL)sz=oO^Lx$2fDDQ<6&>)o8O&0
z_q`5eFt41I+I6V|C2X?fK_W2icnIqInbur#WyH~|1Xmd{Vr8TfOQWe(uyC;kl4!ID
z+n&)WNbPJDY(h&8Ch*4+V!(g~D6sA3-xn~>JA(a1B<P0hj@J5oI7n`TGKL)#GHkH=
zGlakw04J6EP+)P*&ExGX7fP8|O$;}F?FxV0z*ToO1%@74RD(_n4r^onuLV5Sch}=j
zs~7ci<|B{wQ5Ach`KjMD!^jrruO<`mRmD!?Nj_2n-o`81@|W7LsOhKzDRqX{y4;*z
zv-$?>P=SkBUbQ!ZCxh_4SLgC>%wB7JyDY1L4K>xCH8YkPq#cABwuRF993R1i2s2bs
zL(*9Orgl_0vegX}|J2(&@x{cmVyia&Be+mC-4&Bv2GbtoFjV`|`9mv+{N(>)UK7UV
zsTW>@-7p|A(7?z**3vEWcE(+CoiHeSuaX5Yq^Qy<f=A=os@G>9{1u)VU@+!C7g`WJ
zWB+~~^(Vx7Uq6B6FZ@KNy+!*`4;Bmw>>PBSO4W|EKVT2Tb(~(8DZI3Qiti(-+?q~q
z`F8E}_MaFo)MB5tbD`0YtNskz@~MZ;#jp4Sp|Q4&XtWK}lbZtqBzISmfr&_K=6c1Q
z2U%>Y{R_p58r47sr1@t(1rZNOdIshB<5TvX?f7ArEuwW98EJ$y$32J9OO?71OokAH
z|5Ny!!x;85Y&l>=yi;Rf(h>0<B2qz%<VYsnHNsJ#+nw%&;ZgmUnXM1&UFNv~Dw|vE
zU#pt5bfAmAWT*KO*&q(K^XAsd%1GG^(KPwcx+YCI5s552^#hA+X>-PpkH<UFXN0Uu
zL@epmc|h{KnKN!r054~DT<lNCYDm%vii2s;wnuajJjv<H-t)#*U;MOwoxR_E<0Q&@
zHS@{k>^~dKFceF)?KQiU1(a7H!AZ+(==@~i;P?X__{_|xwc*6D!_t~>efPUhWztFY
z8!<PFP3(y<1dgx&<JBnUfEocfLzcogt!y^}8+>vSO`mDREe*YfdC;f-ZV4xEa4JRq
zp`82i1H@7y%QTnsdAIptbVE(*4kN2P($}^Ak?(0i3k!dO<KeEuYj`98ssqdW=f=hh
zp3PuT3yF^puCA`W6SBlr`!|#7D4gl(<les2Vpgv8jHz-~`wcR&xuci<U)q+&s#BgW
z5|ZG+;~;EzCujT**+rl>yn!*<$gptr?|c^6#-^>OHo4AB|CRg^O&&BQnx&uc)eHO`
z5;2Rxzs@E%^Avge65L@u?zlFJ59@IlE3fl8!BW+<c+}nM9z8!1;X&pTT{pW)ZR;*H
z!%JW)bE;rb-x1R@GW%d{FRylYd2qja8d&=Q%T$x59LC5*`Jlar9iytdq_FYTm3Qee
z(i+3V<l?K3v{iEnOysk36Jm4zaUsaiXM*sBJ7E_OUl^YK`k$}9e-5m+za9z!F;uT(
zTHx<Kz<3O}G8F;o;S9M4p>%W%S+>%z<c};3Qu3FZF)=zGQcQln;b;z|9MfkcP0r?w
zFy0U*R}G;>Rv|?{J_v71wlB>u(;^dHGSc_&wa{v^1urX^ybYTTEKLDWrU36B@**h0
z_p-Ot=j*z&01??oFsU*d`9&EQ7l)kfFrfZBJ^cbO&gvk&!9Wfw7*P)zy{tAgRT_{}
z&dJQS4Ol+D#b98t6qRRef)^60@_Y=<__Y1;vpa8#eaa3kG+cOW!aL=>#h$Jnvk7am
zBZ8yjlQxd*fPk%%dyLnAmN4;N4peF2#sP_&6up5g`S(_$X*K{{{_nS!r{b|Up!&>u
zGUh5a!Pn?$DSiDXetx9~#=lBSO<?$}zpu<#E+3;nMAFZ_AoeXQX=bwW>R_<|%A3vA
zNoe$HrBswiH%ikfcD9)3BhgSH$I3;`V^|A6p+AU8aeqf$=;km}SS=1?KmHH#!Ewe)
zD=HmUV}7c4)(~D&>Y(Z8_VzzrO`uVCTa$jxj~_}`F<fdSQ%?nBG)F^#T@>3rghvtz
zIP-Zm_?{KM8&-6}Sr-Xw3XsE7Jbn7JBBK)arGW5<l(S0_pHnM}Q$ZW_qTQVV=UM5q
za?5Nb&TMXU<KjtgURwN59=LKmb-0;@gx(bhd=$Nub+57@z$U*o4*}QSEI-0i`q4L3
z4O6Nsx_zNiRU_quAGI$J$KFRE6!>xBlGojx1Lm-PkeCU1;4L@7t_!3N@UiBz`ri5|
zyDLT|3v7t6gz-0A`2&jtB#02CYhUSvlfQ*Th&<QCiP5s$aC65Mrw_>Os*`-x(PLD^
zmmd0dCaKSCnp&_Le>qGHlhu~EXxFJ;f?PafP=Yi=4DF<{dgyX&Idt~x>}l;PH>G?M
z%4CfX*K}z?&6DRTm7luK1-W`$K0U3&&OzN^$ET`ZyH>j!!Ry1JSA4FPG&Z#Pe5&_A
z#&Ez_+Y(EQ<6j$)hfs;`V{>u`i<#e#(*!M~CYS-4a|gL1n}i2|OV9#yz{bW;2rFV)
zqj=UuQW7gMF%cXWdgkWsE#D{{iPhocLl1yhq(5CAM$I1+MSPzS1{y!bCH>Y>*E}{o
zb-dobeLAM39UrSM;Ut#GlsqxegfH%D(xa%*e3#_CP^s@$ysFREuECmGITt7e4wMrW
z>}km{-|dbkjajj?bN-ZFA%Gw0X<eURYDt)BPe_z@%T|kd_6V7nlisVGg)O^Z$%;~3
zm-%CFY&z68^bnM5HKD>b^cN%lk!(2g(0=K~!Y4>=IxKsZF(4f*4AP530y2Sy{JJps
z5JqxcOj02G4y7EbjP!T9nuJJ-N-XU?k3l`WYSIdzI>c!d=>O5qLoGy_(9qEQMK)r9
z5@>8|TP_*<;_rXBTG*uqD0SFX0GL4Ly4h7Yev@BkNkYKfJhU0j01}00g6N2dhzkB#
zxsQq{9kHCu#$<1boDUQ0WuD#tGL5sE4|IARiz<1+SXf~lZsTlyF?Bb{!ZWt?!uoT+
zJV{ZtFLNRg0$fTlGLref#?;?WMU}r_(y`KQZyht?tU7ZL5_EIAA;MQ$KiL*=7@)<r
z<G*G4wtemrsoKTl(^G+{!MAbc!On}FTfwYVUxePgc50c&Dfy}Qd%0Tr!VdGxAX(-B
zfAI34(I?>syzikR;FR}T*T?;OtSdfl6ma|2(!%3&RDViih>})kOiB>>zix;wYlCQV
z^?cn+WT?|EQUC|R#fPLP5iqFLfp!*{png|g!Hcmh2D`{8F6$s5W`M#<^b0{xrZPRE
zKW+=92Vq%GyCQaJODCQF#-Ke$Rh2GY5PEQ+RDd;wZ>`czQ9gGjSh*Ph7g=OM#s^0@
zu6qqVyzSUFlyvwQ6e3GbqW#_%(F4Ib<_k)wiTu;CjDaD~?e%mGz9|ENGb=tFxvWgt
z79CHoI&J%B*W_8vT)0Q|_4_wbgLmSB=Z~z<6E@6+wmPV5S>1kPH8H5YXe@qa!6<#?
zF=!L8Q4rbC&_+jNj2gy2FFm3uteKQJ9O&2JE6MePI;I9!6*r%Y<Il*rFoFtZCPafn
z2Wo9mWE*}~EOE=w&W&>kBu+2Hp||nZVltVmay=mBv!3LivnvOH*M|hv<y}%u2<L(D
zRs>jk3KByI9I^qN7YKvVQq0wjAi8tiA2C_#6+L~gIOKI^$5nIQxoI^JK&g2i+*l@^
zz1CrC`c@{TBE(v7Tp0X^Ik9;M3D1pdIkJy`m5UBU*OzYu{VgA|Mw7T@ZkRY%U&Jx$
z9hN#ZXJqVYTMrQ$r-}`$MNZgOht7BUoPhfuSj{Hpcb=~nclh$ge@pzW-DP5I{E1i$
z$C1IaU^?&ahcoR+{shb~4@_lg-*s_4Ov*2s30nDHi0v{vv}SSiS3PDe``^MwYa+I7
zu^n1=XhQI#WJYdw=&a-m<jM0AAgF(g(lIVwt9Ng1456c)SN-u_UPId5y&%~}TLYqD
ztgqeCPf(N%GLHYo8<c?A)6=7-sc8V{<f#G>0zopsJyPwR5HAG3n2Jt&xVt>?1(w%a
zaH|$tP4KE@t05vO8ag`t)(}c$T_+?Y1lrf%fL(#8pY#=pKn3-T5Y<#Bz487>yTlJa
zx!YfFlMIdFeb@;a5I-#0ij^~qwJgEbpvstYxkYw16<yEj7CU-&djpo*!pA$ZW`5-u
z!{Y{vFFo@&QI%?kwZ3Ef+Ekb*9TR^ky5Sn;)5P`46WynkIR2>>rMz~_SdyVp)7qyG
z94@U`{mFX3w(alN)zUCDaOoh`d8#9^0JjnZZ-jkpG%9q&b4!d^YI}7xhul<Gi^%IL
zh`(LE?d)XincA-uA|EG;jg13!F)t*uz`0D##YM=+SLq(q+1Z(rkbuEn$R|_=I}+1$
zhZ5ta`uY#R?_e=#x}~qLj|`JQDL~H17ziHLH;^=dkW?Uo?>98uh>ir)8mY&OyrZVP
zcsi_WA9^Kh!Q7)(S5?x#ZKRNAHxXTIz2drWDR8k#e(}5R`D>eZ^wZy3FOJm|@(Vc@
zPh{h-=`Nn%a9XcD%nM$cpS&W4jXP+?E218`tV6c(qH3>KS1Wo%-!^<i_xSOQ0@m7x
zi2^qEq<ke<HS_8@crNLBOYVke`3(o=PxIL``qk8Q+Olv^WJwp%eeLa9lx6R!<>>RQ
z*pX}zL-aJ3ufijj#=h&WsC*)PiG*PofcynnUV;DUEAX)w;tVceTM4fdtgU*HsLCs(
zUk%Nl>*(kRo~*KmgoF&2SUyM=3lvV21Fzk1l`A{k&xr2-0wghwe+JMBgq|km*1yBs
z({|>!mu`7fSpxPq*&CA}EOm7hPdGAYvcGowH%*O}U@Rd>o4nHD$>*(!evQ^93<$)#
za#DGJbwg6om+yh4p#O6r!v1B+^YKS2^v&*f1v{gWf3uf8iy<#}+98I$xZ?FC6S8|`
z;Z!c1ImbWug<~Ra%6|`aM<WjV0TCh89g>ff%_2}@AcZg72Gu`io^1a}ad5O?LNr_a
z`&VFomx%TRPv5^fkgmQ{$(jd4=In?`{5-6Dode1Niwi2USx^9qLZjinZ*emO3z9W%
zzp5l?pSOcNil%(MhL+Y=Jpku2=+wl3;wvO7s;%A|`)IdM7BU(F-k-3taXwA39KhSQ
zPun;(+NU|ytV~u>-X7Yh&{P?y?}{W~v|dk7&X()rty4Bx%wt@N^xh>oa*ciHz7mIR
zF=3zhI!OEb(vHgVu1AFv6+_%M7XC-RqPek7NO)1q0{xe@pz>bRg0#aEc|V*Xt{m2T
zP-fTU|5TDxrt@(*+Mf11E@(G0aAKecyJz*=C1UKmTnGi!V?Xj3D6*=EQ1oQTvw^Ue
zKvz_U=#M}b1(2os&d%F}goN-q15)KFrE>9AP>vz=WU#tO#ArbIvM<4gxni}tw&n`q
z6FjJMek9zUDLi@LE&P`X;#os%3OmH(3uj|BgQr@2sG^Ni_D|EKLXY{9^HqWl9xw3k
z^;rfR&Es5WfiBYGUBo#<e-1X`chk4#ez7TDd;Sq8F3zJzWeQp<zr}0)YMviZz<Tsh
zcvjJdt+cL5?NsQ;=s{YhF;>?mGQvIEcXqo)b*;%Iq8yY|-S0v0vjz2ruDSUaxIjS`
z528RjP(Fc-5xzZO0w9#L0*@oRj9KJ8&2%fYJ`JT;RjcvffuH^f+^@%OxVT%_O%3*k
ztkWU{tsl>dm6$Zw0BP=qo5dbk+R}IpPoIy&+?U%ZDbh5RfHmTd{uiY3$|~FFU)oPi
zh9+MpA7=`#iv82K{PW(m&$@E`q=EYAe8Z=_wQgaNs=KYV;CMUo@F`W^X)+pJx@t%x
z;K}b=BSS4Hz-Zk2ik6DmS3fjl@^uYD@srAZID50pDZqmB-G)A3YQ?+Xhre<2L!>&;
z_WXC|I<Wc{Y}&jI|Dcq|Y;>oAN;>4{)oeg*4d&@|{W5AtW`xi80<u6G#Nv7Ez`9oa
z4Z@4GY9gewbh#kWf`)OZ>)P0d-Fk}ewDgK>39)%^@ba&f9L(ozc>?c)L9IO8fH3bB
zX~v6m+4dXs{co94jWNDz$T^Hz8vFS0PZV(EXvb{Y7B!>CZz)oUY)iIr$Hz29u`hB*
ze^tnG)p%Br{3ZOs3#QjsD!Hf4tiNbc&F;xm4im`laIVRlssEr;RwH>ZJ67~6$G9T;
z`_O$_)eNG^q!b$60ZeMe`^0~jWN;0zf6@Cx_+WU5<PMEOXy53d4zy!;h#x#)*KfQ5
zM>Dcazk4P2+s}87P!1r7FetNLAW=6xZLkqHiF5T?>Pzb@v0Quhgpj0WPbzrxcPVb<
zsS=^r8`{Z$8;;a-!j}bj-TV5RJ_MZloQP#XBX$wXON3b-<86+Uzhcq(=j!xp6Woxc
zr8U|kt4||;D5ceErgKX<3Rq_ME(u&}VWy`}PA3W!`;wJ||MAq5Xl|pS)c5t~?6<z+
zu*G?=iKUIjv+e_Tla)6Zysl-x-Y%DEwA(W;hV=fMnfFQgc287t>$mR@0v+!5=gefr
zhfa%qp9PRfR@$#z)&zBWi@@wwMgNf!qzU!vRmaJGATy#_V(|(zp6VbS{PRcI`Yv>L
z?T~;VAtf~nN)Ez5^wXSa!HsfnQVn&dpcKC0W;NjRU72rx*Q~6vyLiV*uP1w&i0;;*
z(+(@=qnqKp3ZPifl&GEx%+Ig-aIwzclCTlhXVfDbaB9Yp?4>R;Bq~&Bs-v8UvWm~W
z!fCEyzSu!SXADDHkAe#tMHQ<#4~4Ud9=ksoh`5*iBOma4d$3z2QlwLoYVGNfRsp|&
z8ct^ZNs9#N7NOXEnIhKSTK2FcMt0gz>rN<14}B$TW*@N{$YmgfJ0G6Y{q>12V#yhC
zmh;QYAoo;6QqbSLdE-bd(v3;poY!3)FJy%-d73g0H(R$N&^l?DXw$?A$qrW%`fVR+
z&^wFQ#GP@ciuo{%dHUeHcS*wM7^|`-z(ztqO-$|k=`TAkKKDhdpLBsfM%2PfbJLP!
zQwzHX=JM6Iwx*6Z&|_RTKwLlAX1h{9rJ5_BsIpU5Dx~8b^A&n=!l-YO&V<ekcuja&
z2oXCRy-2AjpYij%wz*29H4?qpJTo%`LD-nn)6<aFo1~EO_96ZER&JZW@9y;76kZ$i
zWDUeA(SDNiccH_@#2j}ac+<otVMkz{_FpuNK_G)90K^;#nWdqLiR7RkG6Xph;wp@k
zRtZld+-+$iyVDCVKp*wK?(fAhL^@Q!uD7+j)^nfhx_QVi5;WT_5S4idIX??aZL&B#
z;h(bR0j0V&i|b>G%4_+1hEK6o)^Zwt+!i;LW}CqLsUvono;yF+bDf3t8H|e!>lJ&K
z{;q$B6n>GR!3ceyrTR-60WE=u-XwY<EkOpPzgKh!eZCSF(IP`L^sH)#ar(E%=I`rB
z_)MwHtun$bFDcW1PCC-F-W+<TJ81&d2{D9&pSJoMosvEeeC{{9L{Ck99Rq|jNSYOl
zolJXwu0JTlI;LLIAaLdR<6t?Z1rK_hX2JOtPxm6jg>I&*+F#SV=B~4?g2Nh7Ao$#J
zbTnMblAUxMAH@A;!9%Q0zxZ(YcQ{wP8<h0k8TT-(g(iYkoA)wmYNl3%hT4uC%>GQ?
zb-UvBs^Y<PZO>@RGETXaS>%1{Z|G&k#ee^%+oZdKPMP<AA|V<d{ZtWWML&-k()#Cx
zckNi32>I|H=qa{YA=8$>(5lXY^bjMH3JZx)H13Q_l<SWUoWGi=0;D~U{Iy=B)nj~&
zi9p{joxdh(5iKZTP482!MCwgAjX|@l6`ppF#P1^?^Je4RBL^UBMCQ97w+)>jt8dbb
zo!d2zZ2gSHdJK$mEwN~VPEe6k@oojJM5#q$0^)s7Zt<B4O@1*;^{kscE=30!_>yFY
zVN_1He85(ZVw0z_DJ|4<E4@=>Z`}mME2nV-=jWcKT)YGT4hk-{QeM2upo&c&BopB{
z<~a2!=5KVjPq~Nf;&AIBmu+^92OWps*4W@hmVuaIN?(Z?d%)Z^8jd~ZBQuc_Ax4tW
z)R0GaNWn5Gdj_--jDUwcA%NG>1^Kw`lNaflCb{#IB^I0UMb9-}@W3B>i@mGYKimuf
zb?G2%XI8d1g(-GUW@?G~GWfnXJ0du$*Q7$Y&3~IOZ(144TD%Q{XSgLh@51HhNvq-A
zx%rp!>Q_;uwTE&C6M)7Xd#&yEbBFUvqAE!fTYYDjOhRa1r@qK5?~si<@rJEig-U{T
z+xI=4SUElp=AwyO=V>^ic;VsIka1Dr#i0G;eL!k$p<B0ZtGM;6<Z42DRQxOEjA~N3
zYRlE7g_+mp;?$$u+|xz|zFJfUlfOw%9Vs)LPDB?B6_OP6%?tzLt3`4Q)p1?p_Fppv
z94xnFmMIq7Nl(8H$7b6swG|F}c-!%Uo%!G3pD%<UwnO|xfc1Zd6)B3de=zhh2$w`K
zc1@Tj1#W62_zQ{M1SRq2<|bhDVdkioulpO5l!AidBUp<=;Yx#aRsYynQUJ6VLbHZb
zbgp%HAo+z}q9RQ6dAl*>Fv{jW4#i)|G?wXjs8MSiJgOO4xH~|te!Tphf3n!gY2ISm
zA~+@TW^}NqoQAwT?(k@lZtwH3n&YR|`~#}gi|$JF`zmW<+?AGR6M=Uh(=mSOZp33U
zF_ceI(zmi`e2gL+tr+0P%_}%OTfGVusN&_Zr8y6EBg%lWiXdCfp@OaLGwgc%F~<z1
zHv`^WynBBe9-R@bJa~?+={|=ujJ>$mP)S_sNQxaaG-*r_ZICQy{w%=BTG6~2Z@q|i
z`k`H93}kylS>AsMpq-(i_?=OHL(Yk|HbpRsvK4L^qG`i`{j(nUtg664WHDJ4+1SVz
z-aRg5YD#nI(j{an+t}EcAV&lJ><k!JVF&UZ@#M*qI}P-B*Ln#Bz86ME=&d1@e?d{e
z<!x-qrR5D;#~))v59mx+)`T^!31e0n%;zI=qPawr)mukJ7T?ah;3TC)V_H^gZ`x)|
z3EZ;=AJXt7xa$sf(Sy}c1H5lWy%AaL@|yWbdfle9czWn2>7vJT42){eS1(^EC7TVk
zd{G;Fk|eMCmS~7gZkfi}RL`I}dysU5kWABLQG%Hfp~wjeIDSei&7o$XC`P0A9_!l`
zZkE`+4Em?2pnCopM>Kh0Tdi*$amTy^z)4C<%8aLPw<&_}92x!DG)2Oe=|r(QXOz~i
z_TdwWD1^ie4u*N19d8}4<Q0NH9b#J_{qy>NB3!xM_ZdJB3iFdqm<52kyJfQ49jWM7
z4)5K-;Je`dqM_aTPtOvzI*1%qzkr2<s;)4jUtXe}@#h4#&eZ;1J4mBG>?{`C;O#mK
z3#b~^EO8K$MQx8+2G7ff3oQ%(3pIRb$&k-sP87eI!9g<U^J%A6q?z>@i>?(JD>en4
z0Is#BJKmnf@;Y_(HLx5XB@meKob{bF-(hi|Qt_&>@%f(diiSRAO`v#sTNLI)V&$b_
z&wK?HlgSggeHRw2kk_N`zlmJnYnF$LA_4cB9r2F%A?CPzBY?BcZ-85|`d)?(s&nAm
z|7TokhG4+=>nC6~{~8w;l#xNp=e+(CtRxsj#Kf%dL0gV}PQVPz25IS7fos#LE%rCd
zc*pdOdRQjqux|IY?NI|ZUz$v-HtZf&g`)xSw7meyVAt>I2y=`>KE6qlpXZun_k-Z%
zNJ5>_MggbsrHKhw4WG0B-1UE<Da?af6^N`m#^m~cMyRcX@-6s9r8y{e9B-5fEbEb@
z6sh$o#7Ua2QGD36zJ14GA<b{i=2y*Gb^Q0@n?f=c&3~Vp_=Vh5FvWAvB_Sf>-}Y3^
z(YRU%Q!t3Ft(e`1mF71@XAMQjSV;-~G8%>zsgBJH{3p^}=cQ%qg5?AxrP(q1cH5Hw
z=BNe#SpCOkx4O}g=6(^zi^i;E9g`pz{ASp9Bq2!D6Hl#qtzaf;J*;i85#9Ksl=t8X
z6SJ=la}2CkU&9-mi$6DQtypQz85KE_kNR6RmU}{e%p&xXEO%h%Ut4NT*DQpWrqo5Q
zx}-kR+^Rd!A$ATK@v2@j6Z+g;<vSK5l0JnP_%%wcIzdJQiehFksHNF2qSZ7eD|70g
zqRmVG1VZs^*Lm6Nru^84>{=P<ntOh|9Z86A9XNdEe|a#u0xCww+H8>Kj5`K^DhD|%
z!L|S^eO0`ChsXR+<3f6|j`u7mvDAcPc^w#{Y$^D<(aoXx^sNX%saMX4qDon)mH^{r
zipi^(mu@7Fso0~#f@Hqx)H0+TRP6m3Z2ZA<QkvNN8~u5&GmKuos<(hInCHlrMW8|@
zSX(}0LElR`KCh_v1D{pxv$wwmKu~@3B+t8lGGu`u?2d!gjOf=K>=z|WE*eT4y(o4=
z+_8`b^C}%BFA~bPlwnu~9yw%Q#O?(Z9|E?8M@P#qq7Q`yiV%a(5SIab-X8Kf1%Pa0
z>c9(7)&DRt%L8&5S7E{|A&r;6K0Wg%I$q=IwL$*dd@L+qwJV)$mqO01sCA|u@{zXJ
z37)&S^WJ^HJehFQ(O}O<k)Jh5pzoR^-qma|i~p8HTUx>BJ!67F&=a)KF-`xS=WbJ4
zUS8=8yyaS9U~YV{ez^|XI+!lkH(zI~kim%V65rkrtFG{8$OzOUbVdC$;2)riD3<3S
zytAyqMd&Pca#+a0>5of`Q<@l1qek+mt(~-jwLo-HgIU)|6_0)C->;J(?9TF&+Oy)B
zRgF&eu39og+Hvf)5jS@Ec{5d9_A2Y%H?$|s8k;QF#!Gv9=iIPo=y(p#elRUA148<S
zu)$NaOHx?_;I9<{XWjbx-iBgQe}8o49&il$5g*?F4XKr193iQkB3#qcC4+Kv_4gQ=
zWf;s%)3&kOTRP}|Ry%igp<Y}JG#h<ljOLuqc~LEI{_N@ef}+}+_koeLXcYn?T0GMt
z4X?u!Ja;DTjAHvcw>Rgj6N8m?N?15A>;BI7s$wsb-P_X^x+ot+t7~$865Cw=D=58b
z#i)L%eYoyju=||^3H9G7*+*edMLgw_R6-QABpzt0wzBa{e9PiA{DJ?Adj3A)j^gJQ
zDZMz9(CF}zvHEcceKYaKz_)Kqn1@ux8L!c_{ng;+lp=+G_k}{pGg};NYy(&&!PvL2
z$V?G72VP@quCA_#8JGX!bO$)Ov`;R}fotuo8qgg7Yji$U1RMvvGNqn3gQ+MO<5xR`
zd5iYH^7<z%?vwdJWa`)TOL2%82hWW%GF4^IgsXlat*h{GnD~i8FDpA+QfMKC3`2)R
z8@;ZG+7;RJiZH0Ss#ZLs)gmx)YOA`{5@DxSblkq_hI(ahkUW-~7u-*B+g6?DkcUSi
zOwX#42`s$ZjxDyoB&D9V%ag5Ek$m*4|9WTt_>Au~c{8@k!wFL=@8P1f6Tf8Oy3>1U
zdiuvY%3}F@4P6+xpQ7;a@eAOgfFMB#Vy_z=jS3>=+lF*M!Cv<g;M_srB_>MXWVO(7
zGaW{}5)Oix=AdO6(5xG5gqsl@?Y4jGE+G?L800xb<gbJ2S#Gx_Q`EgQ#-Ki1aCd2;
zeHvH)x<sN?_R%a}SHM~$?1s1>5yQUk#gjct;^~xKX{Hnt!QC^%=jN)^{%!P!JL3%;
z&XXR~_oJDgji+o!qjhHBBSbv=pe{8+A~tTUugyn2htH0dukg*Yknqu&9g|4n@%JXx
zmG?uw!}hn@k!^<#bR9M<zo?}mG2eYGAQdXPI4rS!5K>aeYUYb~&-)sfF5U}z9z#Yu
zj*{m)9WW<KNZcSNCr7+);JL!k)Ev7mm<py@ndr&NE=@@7x_VVvU=7rGhb>3ofx>~7
z67GCfp!+J(;WJn7-iP6s@#f#(b8~a!tWJ=xiUfv2-z@>Q0Y~v*C`<t_vd)`ZRJ5CW
zaFmAZ<sgzM<=77LDy^*aeGA2ly_W99#q~s+G&zCxC=vbR2i+?f<^&o00#R!NC%6>v
z3QaIlSm^7at-Azo*2OPA8F4tDBGmSHxK_Z%s<-5KSMmo3>Z?+;ATiHf9QOwdfq{;8
zHBqNt3;fo%R{t1oaPl(i9*uJR9)AA5GW2#DwV=*y*_r`0OdHibrWtB|eE+c|S{a3h
zhbXHEi=Xg0I}dt0fAINhG;$?SMau5gBa}&_&C}%lu(3hH_S}ai>E@4vD{twx7CV+s
zr1qzmX=o|)cjUI@Y!Q|C3<lUN$?`=%Uk$Vb>YyS0&S$!+dL3H#4c95(>9@--6C9<g
z82PtKHXBF!@0ClVOIh1_qC8Vo(B%9TNC0;L5t7x1Mx(PKQxg2q$vvjSWwsO$n>YvC
zcj*Y0_Ye>!xM@2vJ`RD#wTltR^$dK#M~aGyajpxIs1rH(u>J)N4**y4<mf_?q(zv|
z`&^i8)FdZWlw1!&`A*9FJJ2dzxp(yv_WmTtzEwYw!7JG}ZVb#vlp85kjk`$&L&Jg9
z2Okn{5WLKM_HEKvZ{eVsriaF#&4zZdkifik+<s$(0u!+EtDeteT~R;c1O_}gU&nhn
z+<a-7Us{@X=xk?amvS?EZq5*+qod=|*oCBy4w<K)P94|NZH240T)msS`7cz(zp#nU
zj&;6DCw0dWW%JZGaXYHCXW<uHwz=Zhzi;*Fn3uQ6Ja@g;iC2YPCgLo1m6o2_WPW5+
z^Xi<XNnojEp+<Bbn_Wss8Q)0JuW%*;Tmb>;-Ca5XE2DI)SGw7nM-e_Vy21>z)n}V*
zh0|_t+;Y$Y8KNiGYsfYT8jtw4s+_DaN4AqB(V3{+xm1OpUvW*R59BV>i^nyKf721z
zKjoCEa&54u665v33lIOQ5EB#>c1OicX31nMFn?7dkTSoCi%cxvNHb6?tKbG4p=+bX
zpL~4mPWCNfb_H(ED_5@~SfSIiGY-xnn4*?>9I;^lCm;!^0T`xcW~^Yzg~TZ&m>BqO
zz=}akp=O4Ykhcp#vA64B-EY?W(@!jy{)X_Ga@Ngks4StYb6Jdaj^iGjoO}eG-F@7Y
zF`oJJ*z557t^Iwkxia@k{NuyJeo3wRDb5`3Ked9St;5qVvX6JN`=@W*?ys<1boKJM
z@!hQ$_hz<Oc1hcf@Af;U<(nuDyR|(+ro!|3d6IG`qqq|z#~kzl_ZUU)rduBRmeY=*
ziN#vZ_yi%@$985N6*qpbK}`$?wLNw-@2kc5VL!cY3ALAn<+%P%X1CTER-(6mBwPD?
z;ge00ox&^TR+zrst6r;e9Y~{op~7@Jtatf)5Oa#wfQ{f?>~`s=Kh?1ViUVmF^4#pu
zBQ5VyuGOD_bWu87{7_QJPdH_Lno`8a*AIKdsGQ^ryHs3zWCx2r*8R_|!6qMeSomco
z;ym;zl+@H(;Nz}d>m`sdiMQefoWWUe_Un(A*`7iZL-gQ*sylkVJsh(;Sv=T(Zs4pb
z@If=Ub)Rc#J)~F3?pC{O4zwae6BA4TpE8@yMZs*}x_GovfRgemI8YywW|iy&zzhxC
zsT>cL=K;?_=OjK}XwpT|4CXYu(?eT~<NY;F^Madiea|aCRZ0K;>Sg)!j;Lv!q$J+c
z6vLjj`7KY9Pd;ns6F0n%&5j~%e$e47dSL#%GoRrxQZ2MqI62e4ewK1a)F5QrzLl0S
z@w?0yjcEJ9rGZtM^7@=4i?$#0<4mm}3g<D7(Rva2D~6LG=$6B-=eGCqH)XCa*j^DC
zPR(YZ-3$J_+%4KW+*=^oPa(~ccylRT?w<BtaUUNQol6XUn$4<1C<D!H!KCdZT1C2N
zPHR4(1%vQm7MS)2OQzJr{RSJ|Z8YD;Cj4Ttop}j>d&n%#)+`MIqn^-@zit|E3BdmE
zKI{vw@!JJRQzfHNdsAs(aaT64Ibl>!ntajM(D2b}qQY#o0$xa+;;6dbp&?lEs4n4{
zfutUYvLG5B5;hEt1|KN~1k7idYPi$_t_I1^EGjOJ<hIpk6sN{`8S|x~B$8N#AT-<>
zOW1L3obY{63FpT#Avem@Zf>p5xtf*tuw>I-CO)R6_burp5tpqbXRNvr&6YNk6&qN=
zQBNIv!f#Wl6f`B7;FnAOT1?scSPS=wy~1#G_GCgruy(`o1JvsN?YViZ%h68h+dPk`
za$TY-LKI@q-vZb<h+;R3kQFzmY`S}T^g!zjnWzQ8c0=}>$S<H1y#n>t6zW2NmzNi`
z!JlClq+*VS>M}_wQ<ZX3Cw5!*AP5@nZ=uR(bH*S(K=|FdO##FMHF1w`+!o29%Gc7;
zqM@e;{XaEV+jy}#As`e;=-b=T=mlVj;OiWm-zCJy7qD@E@%y9H!4#~L!7mTw75(mn
z7g}XDmtd@imK8c{g!#{vx-ZN%pVQLP#Pspw(EjmvF0pv(e{TGC<MzlxtRA3Ao1Coa
z9YN-JKJ0u4QC*_f;`!CmzdOCD@rf(ptd2Feo|ko0e~=;dF4s_S0{#7Xlozyz${tIT
zYkY5$(hlm@6poIP+#I`a;Vi}1G8<7}>K-2!o{@OAA!$X2ZVEG1-7-QYh?-;6|Ds^+
z<ur^C(U~;kiN^7KW9+j6$kf63saPLlSbKuW7qOcI%*Z!vut7+Xk&zL4)&|H|_LEG}
z|KpE85XDYOnKCnV=gytbpvsHkvqk<aux7vn9C;@I!18}yzx}%9sahd01tV}m1X&y!
z)ZWoCr*m-}?$%o9<MbF}+o{Q?r*ooe;S0hS{o=m?to1fHlId!=xVTJ!dIE&kV6e5{
zB_jF^Z9F9<<&V$|XPaf{ATLgII(O;s#WC=*MSiHdU*WhrS39*9%KI?!J)I&=d8C_f
z*z3;j-pfV}X5XIhdv8Yk@Mo(Z9SxN0&ZbOji0I3~?9(ireO@n<(QwJd0>wc5cd8?(
z3RY`6?iJ@oC^7LZ6UL3Q!)LjM#&U8hk~n<K1X`oCW(@w7sQzNIZ+Fu-&I53gbG&h@
zEi3MZ?aVcQjV`G0^byYZn^i)lpK{@>kSBxt&w40OAVXYzJGg06xU<q>>Hg^GC?eqX
zGthCFzKZaenBG*W<?!t6?9iWE8Y;QgpPU;U#P2XbhBEzR@NL)#K<!5ts|rSBGc&V4
z2T=bH_>0{ARFS3<p8}?9N5r5HavAk9n`sf$I0TCzIE4Qte3+TFN--<fOgLDY4ds#o
z^P=kfcm<e5aw;l51qG~7v@Ag7X8^aHzVi#eSnj*t8Ge^?G)9G7^B?mk$MP{H<>dUa
zC-+kDeIg<8<KCdPs2xu$kL#6T)AOVH(e8*qk>f81j3W~t#JY2Nt8$Jer}30?rC
zAN_WeaN?v8{*mC*ZuV9=`sq}?<kY8Bx89s9m^NI6*B)1wO;=A(M7eyk3k`|m#NnFq
z`a$KkyifXZ&0X)OWy{Pzp$Lx!j?`H9FQHq}@|iz&OIMmO#?n@@D3x>|+8Qjf08<mR
z&4!~NevhLZ-hbVFe>G!x{>&_@6a`WtILA~y;5-{p`V7+epDMU&V5a~F?=@|0Z6LpW
zDlX;#O8^D}cfrQS24{sdfSZqxkF&Ka2_Q^3u!EG0431s5nW3|+ymR6ch|rO7aCipy
z3|vO`aId^^nf4ZEn!<lO1kZD#LPi8<&G-Jq8@Go`1PE!FRoN=CBy<7L6_9^EhVMv<
zNlIG5&1=3}0rk_B5uW>oi=RLG8NaD5DlACLu8J`VZ+K=`ooQ+`67ZN$Tth=+=uoRx
zN08Z-I5DM$^&{y3YDm_kQIbGhMn35Y=f$1Qz|0cAkoRGaFnBe18NN)lZ1FA9$cHH;
z&=|V6c{!zIYH|hGtoo{~)r6YvLapBd@rL_r)Zw^*)rgLXdC0)Xn8lHnkzw|y_KQE=
zRO|MCKXzUhXU@;HL0vR^DDDa&_wc{v93t66Di7hh5GX#+W(Vj7^kiZ{xdN0H4IUOW
z9KdBxDJsGXmGrKy6@m-CZ<rukxFOs#?OoBF#i?hs6sdprJKE5@xXurp-K88}&Q$bZ
z1;0vEdn0y%fNzeM556zTXDC(uB~1UeGC|kUFdxoLc6hu{PaCM^-Z^lC-|K=b!+U_f
z)s+O3E63$;O~6<|P16GJce^hk+ib@p=BbNjMsE(5{^&Lj5}B?D+Ej)|-mZ0y`cNK6
z?ktHld>1vHXfJe|2pu|&efUh*C9p~D`*{Wa`=BsR%jhDv8MSiBYE0c1>g3|q@t*$<
z(RhxRv;5+Ca;fyar7V|+3n*Y|35sBT+f~rp!#DcrlM*wJh4sb3+X45iq(}4rdF_g<
zrfNFjiM(33(<KzVKQZa4oS2sv92q%+2~3t}48^0ED{+7S>cZ6_{_^D&>en%kDJi|T
zx9#B4fIv@j7CCli8t*2fp;S5Js?qRE0-6OUauaJu<o(vs&OTd{=9t7o$&6Wd1}FV*
zBwCf*oDq=MFg@d7dt90Ra@pon+7Hzy)Evz5y3v_A68GM!xM<LkuEw(T_9RP?=Y8WD
zm(Gb?8u4Z`;_>rV$NLf5t2C9KWOfo8a(N+6UCJwR!7Khc_u+QpRGt5ZjKjbhm7o>-
zXJ^fWyfOj90~80RiIGZE%)Ii(8;4@A?Y16aZ#POA4YO;KkE{+OXuDF&s;-DwVrK6#
zmaA{t1gj?+cf|6A%S3Z-f$IEge0&$YZnn<OC|x+MZXqO(&L|GJXy6*v%;5noeot?&
zaE8)-Vq*0r|MZp?2@H5m3i4g{JMV@u>%4~42ax!~mS1Sc5&Eczr`p1Q7Z;n63>!d`
zAi7f*SP+PAOS%|qs>CUTJKx3)CQn>g6$D18JbLqP=Wgk}WomgbwTrdN`yUhIn0}W$
z@uMs@`lbipLu#30dI8VipI8$SEgDwWQr01k#xy@tnZ1C|Ew2|&vV4i%{)sa!^1C_u
zh1T4}7_#e&d;8kck~C`h0o=ZCGgL!}R+fcq+%0KT!oDfQe97ASt}2~^mxj4awH{jT
zEdAr|U@qio?EsPn&ImO)oMFce6Rf*ntAh*9*2$@<z5NUL>@F{#H%wGGW(~#wiUvQc
z44_OqEv)d#t9BoFK)VN+I*lDh(DA)Pl=2G;DmmsiKXh+O{JJc4_w5Ja#JQ$WJbq0c
zUEKtL)6X+kT}kB4{qu8r)+o3p=uQgO7Pomoy@3Kvg{Byd6Ge8s7oTlh2I*<!0Ox0W
zcdJ*Vuair-1bu#O+g;-+UReBRz`@qsI>yE0da~pk`-40=(3|4Oh|)sRr9!z>6PNiH
z$JUHum%8GepISzlC*L2Gi!V0!wo`pFK2{0lxB6-ME+dyWBb>6U$MCZ-zQ@_#P+567
zGS&f{oP@OWQ&!fk_pBgd1S(#_Xja}jV!dn*CR^N`Zio?Z58GcOJKZ#fva7Kv^Q2iO
zl5IY6kq4wMLwP#a<8oaqAKwTR&+)RDSz3Y!77t+$4-d=N^v}St^-x4gs%frAdCW}w
zZrq=yHNx(Y)`)(-=gV?eZpH@JdIx5Ju&$<!fo{ghi=1@zB~E<B<7Kp^mP~ecMw65x
zy(g}UQzW{LsgJm4T!+H8JX+l#)x56h5Sv3~@=!MZ7{|aUe95D`V!1ObYbH2CF<mK>
zI*2dc@n-q2Ti9n*hmoZo|6C4?mv7tq<NX<D_&j79AUx0!4J?IHs{)7`M^wSENd5!2
z(BZ%2U_^WeLKYIKH}84h4^%js!%+%SfH_FL!hqo(r`0&pIb8zwPMwHA03n0gJ83E)
zWC?5u{H<PC10rhx5v#Dl7WRj3oBp?#>8YrE0I=4VB#K?(ynzm(lxk@=cNxRS?&a~E
zBcY_UyXKHJVw^8L>vY)Y2*?;>f~Sv60!REw;fAW=vpJ(`a&tT6D*Vp-L(F<@K+3e$
zFu>MxpA!Qr&7wk!*L>{@!^Dy1Pnl5I)X?!{`+Gu|h|HFizBv4gOVpU@Zbhloc55i1
zkgZlt(pRW@Fe0Wo??j)d=(|Q$u#U=444JDg>$NH2<O;{F2zm#`dg<q$6z0|6%WQ%O
zB$(^x17^zWc!?VMh2&X$B^O~~>0Z4~4+Xr%R1GPJ*I*Wm@K>9f{)e%zjH+@AyG0NX
z6i~W0sI+u9NJzJoba!_nf`D{)NQrcJN_Tg6cQ<$K^L=C7`}3YL&adNP;Jf#`)_mqO
zqYKQ9%tiyaXJ=<8*Vo2?0vzTM1+V}_guT=m%NF0+-#7o{A@CMILXGyr!-_8&^u@Ea
zwf$d~{Tx{1n89QPz4f8-x#-;PNRyaOcjS<UnvS8al!*(Cy!Lnae|yZSDlZ*7dOn9|
zM$O$SYW-D*zC(0ahJKf`B@{!9A4bCC=MWgpm!0z3O()p2!Z)7luMGVv_|4abcqi+q
zzHr`HXv&e;S_Zb9^rRx0j|H~#PtQ~hFaF9c@kN^}?`~PrO0I>lM{nIExu06L!lJ+a
zIx;!-Z&WPx0Hr@{V_4nWl%`lF&S$`eK>f5SvibuIvwFz3>-6Yvg%86w;ayu8X=xzD
z4GOZsh7Y<pt*zy7aC9`C%*O)Tgl)i_ipa_yCziB;Wnoaz1i`DoGXa6OpGdwc8Pb;d
zrvj}g2qi1ET?Z|fc0j)a1IT7(ARPn`CZwgsD9&rz5FkzfrI_tIR7jTwBDqo!+B+Bh
z)7gerTgwU_?x_cxYSI1f9p9M!^X9|<7qw`7t9wrc9v*4A%aDzrhvv@1W{JU)=PK<4
zJ;jp8J5OGS+Vg4ZL<Y#U5s~g}$|Lid#}S7}_)gB&!?*ZLft$pS%2?a`K$W%<S7$oa
zY6?=yT#4{Lk202|X4vNaV+V;d<wL7Gk!5oAT6k^ffdsGOW^KK?vrcjM1Vvc?f1RF%
zebbgb072K;t|NdT7+}-jb+UkFTv6rMZ!WnP0p-nU?K?lNoo`;EWTtCG;3x)s>#`>h
zr8^%PfEnjtsVN!c-kbxE!x{K@?eK7LBJV4heLr4ZT`BlcO?*9N+}$w3K}Vku+>`S|
zIJme?j_JdC^U8_}T{U!u_<m@#u8Nx82?^MJ^stmY9d_Jkvfw;U%PO}djQl57S<Jk_
zccop17x!Q!DYZ8~2Q^n9h<4!RXW9K;YQq@HTk6ZV-b#$`p!`Z6^_L($)SPsW{Ms;s
zlvS~=M2YZttiIVPXR5k7J;O&3(d`0Ke`bMrx3g204k;GY#CP~J1IY0<YHELXcNgSF
zgV^6iXxSBX90n3$keOMmQP&2vvBBV<m=DO86RV5yj7(z`rPB6!LhtZPCFR9uz9s0=
zCAqMxUH84ZzjYCV1f7I<aTe35Bp=edC5l^qQRI+_4YIWoPzV@XG5xUqto9u2ecvn|
zZj>~8)79I9st+MS%})O<{4GDy92qSrG?a{zGH|j$<*TBi9~4)|E8Lz)a031MUH%YD
zN_lCi4zQu6@OdTyZ8j_%9KcyI@$r(7BssLAr%eWM5mM=Mi$jrQ(bG8%6cE7u0IW>J
z$WN0?E5A4q5iq6j_--ulluHKf?(KYZqzp~d$Ro{Tc)d)nx9KSz-8)f`qn1>spJSa7
zY3`O(pCK1lL48>&QcS^f05;_myu1()b{t3ZtqnX<F!zIKPrfT)_|M4r%Zx<x9jq%)
z!Lc!3q|Q#K@psWbQLtShLZz+9Ps*d|@ZCM^D^{`xJM>O6yE}L{@N2%$;J?aqCP|r>
zDa6k!3DXMimXamDCXWM8Ysa#|3&Lv&sb|9|z&CGe^1sg6L>>!b#`QE~BZy`hr@#1o
zht!pxDEfy-on#t=$O)`80Cfq-7=7RY16e;=AneEyY5=PeIjgw>;L!v4`714EqoB)@
z^>BW>?I8#_1n_|03J3`!xr8&)=BiG4xaQ^xZ%xUUh^iF=NLb`n--)Xx6X;u7(E#E>
z_$c<>)ftX;?S6r_?BD)Z+c&|JF$(vz9~GN^%r*If_thkllWGQ6HG@Q&TVoY3HYP>~
z1jmIF@d7Rl?5ohDc+3Gk0&OM$)Jtz~GzGO;<qK$B08sYfay!w0N*pkUXZYZ<sA>9}
z8JiE$YfJyht_;~{GzG!eiA|!JZ>jU)rB%yTSyF$fpR|3y@~AG}<EBFbk*_=IemC_x
zrUs+{xdf~+RrFF*<upVWKo5~yJI=hHw>Rn>&@-g^17D0&+~6*lx>NHIb5KS9egp~s
zdiwe~sL(t}rmA{abAY)*Al%p><P~}opRRX<)I$KrPC(D9?Rpmq$b5jtJPDsk{EZv-
z_9PO;F@NH+Ni1Xb-W-PD^bAq84R=RgYZ3Hh3|g1(b>j`BEc_%l@>d9;p3qmx{7OX`
zH$J|s2?ZRB)Fd8d!IUJ0C1Kqi;}flKjVs8ZAO2xzgHJ{nIKQ|gz^`0ILiNK=iE}aO
zSFF`#FOar?ysFg|fk+2TV5H5Td^rW|{<mPDfW}yXvSJ)97au@V+n#SpgDX-D8a>Jk
z7!SAe^^8gsCz1yP7XE>6U!F#jX<YSr$GN@x<d)HHZkOk4-zA1<GBcBhAGKD;+Rs+o
z(Gj<>s>a|W4{tpD<e-rXEv;aQ=E4;C2pz|cr`N$d-)ZHiaDThz3P8y?uV6N6jzDm4
ze`{}#%pQYZ?#WiN_1GV20xgfzFF=EkjVcP>lc`BFq>Sonw#WNxV<6}RdBB*So{w`W
zS|%^ahj+z~x98pwr*_>BKR=Dw{?zzajYTnAy+#US$?eKupg^JKY#~rWN4vW?nLIYe
zRQyXpXqBpP!6xbGLs}z8Der5Qqj)Z`qstf-cerwd-oT0uBINKnc5bZBP|QN#^!NL~
z+Q&Kd;HaUbO5Rg+>zX4`oC2M&Wljo54nZuy7TAIJ$Y>}<9K1+)tY(-X>?<KDiSMcr
zG-OXG_<`4nwE(aL;7Nl^aC$37kYvo-1qQ>&iDci2h#u|!kHoeHkE3sJu9e)5WoT#>
zm3{!?C{-=I7hhPV>1GFa$pr-`YXC`Z=4>r(OiJTgQWJ(?6DCHwfR{Yg;)5E@N1sVm
z+Ii<Rx}rswGRe2;hrFL0Iog;xu#!J(TcaI>NQ=?ZL~wy51UWsLtR@dz_9}96exW@Z
z{Ol^*ZP)%9dQS_k;Frq0=pY!(&5a9Cy@eWeQGnLub83_#$3Oy3OZ*TuX`Npiv2tJM
z9L@d}5Tj-N{T&mJ;Pq4R)S>@RNQsf04J+_a=zW9T+1X{#v0!NOuW2vJfkcZs>x})q
z0ymo7sp6acFkw3~t}3IW5IOo(PGZS)tEJjGHZnSCiw{e<i`pWT=&G0F)<9Cbz1~Z$
z1#zX9BF)OVIPbI%xjHk<*LUWtua}4Z+UPky)W6KuCf0(xL+%T}C{UkoTbm%v#l=Nw
zdAXpd=m9y^E5Y^mPjg6@Y3h>d*tBVWnNt56b(iHLR1^-)KW!j874me3#pc48jAy_L
z<vRRvETvvVsLHrssg8+@v*jgEZ9&yCI?fQ2H=F69)pif!TWn0^EQLF!U!-;9_#rHe
zr~8PVm?Wc{m!d_h{#{H*{1Y2{GLI|OVsb;9QeKv6?G?H9D*W&ez+dkY-8I1=O_9Lw
z%?A`!U}QN3Mv+l)-d9$dRppccd3LrLjSnl(cESMW{RTKfh-(i`!3+uRjLgv)KmYc=
zu8?QiWF+9>kiGd;nO%sVxILDbtiffE0b|}k{>HU{{=?y->EZf!ZEDe_#Od&j3Bs_{
z=70W{83x-y?8Twd3TA9|uAP3Bc9Gy^6ohg|+yv>uXtL~uD4{)+*xvm)4rj`+a0@(T
z%q$dD94gSq%&#ZI*iPan;Kcg{wtxs41PU%k&~*rnhXg<jq{TTh#Y*Jl|9Wk1Y6=!r
zCue7Cz;TGSpd3qe912>E!8JQA92f<~P74buuLIg<F3;bES@Ha=POq8Joh0xVaVwm;
zL?GYte{dhNlOe8E*k@dzW<B7f`3^$TclLIHcj%J@N)0XdKlr+x<Vn>=-V%D>`y0lm
zXJrge$qNh9LK!dS@WxE^dRi|R5~PeH^XY}O$?>l8i!*raR4y7vj!-oMbM@-bgpRox
z`v-2lcmR=9MekdFWmMCR54F%a0*0JArlROr!Oq^Ek=eYF`za|Y32at+`uoAl@3sm+
zUDp$UboF}x(wSSpLj!gJoCTq0ybj4Hzp-CfdDJeYUn{o=Dm*~K4ucK$lbA8FVk97H
zsbB@rIqW^u-mwso{?sHLwSmR+XM#a22A@rYdMe$>hM3<7)na(Q<tPSv{D6<dt05vm
zu&goUMRD3kAF?t@JX6fL-d){k1=3Qpk+MpH5Sy#+-jT3uz0u_gI(uj5Z4hMy9`S#d
zHV5?5F785C1wQwJF-uqvjt%=c2eU8Xr>VA9n?Qlol)%$K@y!{z*5;G{Ahql};%GX@
z1jjyhYU8nip%iJ!FlEy4y&v9j_+bf4u`4f{uVeAAC^%`8^>c;ubcJHlB4w3jK0q2%
zp~xr#Tt3f&z}RqbB!%G#XD3mxtRnB?wEZ=DcWXlsgICC|BWMf1jAe_IB;^rrYb5?y
zKTZ-7c7h9{RG}^52EcUy6`KIG0ODr$&8qgb!Ab?Vhm?rYqoM?Xp$<hvksWgrtL&*|
z-lg~15@9EFeO>o?^<gO(ch7v>*hJmy$(~MKrg8Y$lQn5bOPVUYR>D<y{m`U-rNGvu
z+HU3M=vCZ9?vdBW<jACU`gAK}k?m*wzsHCVr8=)i<D*NfnDp2FURh`|20;3^PL98M
zn&cV>o=(0ADG4gCxI5bE1(~TAChJD@PzVE^%|694|IWz;H0-d+?(S>wZfcnk0DKd=
z6xE*rWqazJqqt%asEgl6dwij?OumD{+LzFPDQFHhsG$e=Qw?mo1>TxzhF-S1VS@Ds
zc-Qk&I_w-B$*8E10Hf3%DZZ{XxP8G^5`i0e*29QO<P_p&|LPF&rOu{F#u3sVN{U@K
z<nAyL_IibO&SO-Aomx~4q~PtrGJXlj5VJY-B%=rz;hI6guonWjE{Du;A+WJiJGZ3b
ze#KDUOjVYZm0fQ?h%+T5WIL9)MgjtYvaPq@WL1<<r?xyO0V4h@&a!tRH`z}It@C6k
z3Ys=<>^dCdxjWPbe^->LwUx4qa`WEc?PW4i`RhCCUqq^A04ijH5=iJK4~#!RoGxW!
z!vL7`aNc8p7>jdW?PHI^Nxt2y=9+{nV3JLyFX((wOO5d$iM7_g!-9b$@$?_q6&*%O
zwFP%wjIxYW+G6wpH@pT1q&-e4H!#$yHpf5fk3WNfg}Va!(ZoJ@ja1D{49$lEcQtoL
z8nF0Y(A^-^pIt3@k>(oOKU|<pS!3n+Uy3_fy{oZDHrd{!gs#7!=QU1Rj3A;4h1BIm
zPkcX^jN}_!xI=Zg5#LlgP|C9npt0suKWv%0&AT&CWS~)_vx!5(<bDBqR`CKuIZu(0
z-zx>QxbU1db|tlfyyMlp%a>E*lvGp#qPa2wss$2360<j(PHbLvkna&H{>&zdZ}}{f
z$KA!$@7`SI)`|^X_NX5$VfKwSMWTxqaxUK8GObrNgPW1j{bX7pAWPnP%<lH`+39Tm
z`A}F?Hh}2dZKTDRdSNk%QP;q|EBqBXdr3lRpfKA}?dORq(UK{Qy)fR4>BKpT2%VCx
zl!m2~{@*_X06082UI)YC<wQBNu7iX5kW|a(X4E3?CTxN%B^A1{rKQMUR)^ov?G>O$
z{OiPDJ^h=NH5WKYg<OR|<)kMBz3r>Gk|7{3^aD_m1278^aH^x-sj>{+67qwl87@z2
zI-5W-fQ9SY>0zYcD@hU7UFtY!ihQ<bOfskZH0ZirAs>Ss&*;9Q(j$p~lv{#a_v2Cf
z*!X$+{>6#;ao0%ihnp&Ef$$-%i-R$AS8+V{Oslf<3CAm<Fu{zsRsN2Hcl<JpInLZ^
z$2b5Jgw6n<4)CMf!A>a01~Pp6f~PR7q#n1G*19(@B2&kbHaH;VT$GvqDbwwk@5<+6
z7NG8D0>VoS0<}J6o3Z!+i&t5|(+D;uCTNSzlo$pxAW$%snorXK6bcy7lHRujA>Fa~
zGG?0{9p4uB4f8U5E6CEHxlj!2f>cC2BxQ_zCO%B&2Ue5`r-Z^2(Xd`zIcF$wJLc(1
zsIhg+EbFvi$(5IPCU4aL{{1^<V!rOB3kNs?-hY6y!<rH@B&Bt5B3xXUtRr42mz}ZP
zHK$cp{-|n{Z;2Ns{2Xn!O|1|6VCIP|q-UuCya2!TNd&&-S~Fm-035&hT;!w_-;}TT
z>CKxr93YD8-#-+4oZtB@w$pwx=l+Z?QVig$rf*Of4i@v-szX)%jtvtdg}>hQKf6IZ
zg*2Cv&&<Dk6or96Xx$pe3Nk0;WK|GjCBA4i*H75AJIR|-R!#B`w)Xz}fnN7xJ>I(f
zPLAVUS)M`w*+e<U@(@{zuuRSKFOii?`Q^AH8X|5#`eDfS{YiyF!1!P3ldE+oH?`Uc
zDGYCU@5q6o+%Xa^Mk~G@8VnS{F^GZWM{O1VrN3Df*h?>HYG~|$i0RI2(Qu+KDk||{
zvQ%~pi;Kes0XjE#chCUjg~dg4rVf$SiR*ce%SW~qtGv~HUnC;Tlh1jpMLU>bRvd$I
zoeh*$OB!o|0^m*2eo6`Ui6qi)tdb!uc@oHwQ&uyZ;q3?}N}bH{XH<!rt)YrJRKWoE
z813EOx;zJ`s+^XVOk!im(u=eU)9o*&rg+oExn=IxU!J5w-f>H_!QvDLGqv4WELY+7
z_4VVePDzlKl2#v?y?j1eNRAwO@zF=gH}ib#l&R*+YuXsSoMiBM$#qZcAQyU%jg3L|
z6fu}(OfSu>;gt>Fgk0b;HPG`?IQ;9JMoMica4A2=eCxDDo~)7<Q#f&QT~xBNV$oY(
z;#9F3PZHH3r~Pd<iTUAn$YF0iI5Z1hO^qo=0*lIYmXIH#{mydxOP(&u==iv9FZ)*;
zr%KWXJy`4JCTtjU>aQZ9$eH#OvKE$u(5fx!Ski3cieo{Rebj(R71Fy<7GcYUgWL7P
zvO*4wuIFD&ZEmKA7iE>Um06p|&q8$NLs4`5cdi=AES=Wwi)xUG2q_zst#&rJ+tV&&
zRO6I5t`uZF_$gmH&H4^#3nfsD)H?2C13_qP7?c^pH$|#c^&xxZIA8G)Hf08D4#La9
zXv74f0p^m*Wum!!E@cl9YxH|0Jx>nj_A(UOd6VgF42Cz=eys<SjhikG{cM>^S-rna
zHa8sdmk<>V_R{~c%h(J@WHmT4?p``^0><Q852d?qEg_xJi9o~PTwN=p9_<FY(@S=D
zB2F3be|+$L+-03XLqnu?aI6Hc_(CuBhN2=5HJabM<fL!?qpw-Tq045V7vBhe2X}LE
z@y;vwRV<i{ES=_cmQ0sp*@vtRWbI-ANECBZoAX1tjUc$S^}xOTIkBqv7OAks6Yyb;
zr(Fa9b$yMku?27#@Wg6?g-7qeko0$c&jVJ{MNU&vXL0yndst)%O6KElCspom`RNas
zn+riQt261wGY^B>m>ZaxhucM?uFKyp2zmYQ?2meswuT>svZk?rgE>Tq!nv!&m*CHq
z2mlrvIffm=d6Fn-R;XVx<P>%+X&wJw2G#gt1-B&nrKO>^JUAtw5DY8bF08y)@ke`|
zT~$INBH{*vi4*@0&oTIryN$z<%b(EsF$r1oFZ}Wlo`|uw3YYh70l;v%ANf6EXBKGg
ztTf00lu3#VLzN%bCSzfa%%kWq_e&}-xbEk`O=Mmj=vN3(5Fjm`0QCiuKuQ6V0D7Bz
z5m5A2T75u#IgrF6fG<AqD8l?tUqT4*FX<Z_Uw@X2?-C|0eVJhe#Aj}Q=qO5$oJ%H3
zyKjbS@7P4Qk3OXxTxhfnbyv7vQt6fCD7mL?Yab2H>}m!!CAEQR&FsD1sx6J>fQywH
z4%d~{&!XtfMFk-;Q}J(vO>e0sPzwH<Q^;aB^S=BJA6#v7HW6yv92Xr8pCyVg-t76h
zkVg85?w+24oHbh0xTO5l<Yi81<(uDp7+}U<?!xIB?^{9`UVaV`jCm)qw{wG2%F6c7
zyPE=VDLPFH<%kvPPV3{;%l3@9R)r2=3a$cQ`EtN^L*pHqL50`KD6JY0S%|fGJu)ye
zlhDw-0jkVA!MGSP9VEd;a&%Qz0}wePmCSbdYyIkYSr*uC3p^I@qFV2Aui)TtnR4li
z1l9B`j1=X~TzJp08`yc(^Hy8s1sWgz=`bnSCr+)~$E=|U7LARLW*+ancjLzqdrj<q
zap8Czhaa~<%lZbuoNxwP19z>Iv7ciK@Fk7SK?%5nmm$ndWBMKTJ{LP%()PxZl~t8M
z%av`kX-o4l4(pyiA}+P0?A9;IaV@!SBOYj1?#vYDl|7gW>Ca^e4O|s#p)B$<@=+V%
z^Hrmb9a%1ul>|h_*WizS>#o4D4dXWQv-71p5Vr`!?h`>*Cs9#>p`o3#vv_h8r68bQ
zOxn{XcO6*z7_1gJpzaKyi6H$_8wKSNz$+pRThPo()EM6iJt^nv&&KjY3D`mKRQxCH
znr8CSqiqgKzsP9rcMF{u`|g8z{jsDJ3#&8Dl-0$Y(gIq&`X!^y1r)EF6UB4|kiOP?
zN!VtX7}2s`%Rhw>5`J&dwjYpsGm+zO2R~Z2d%%g?TkIPd>ZQ`|ti3z@U8{Lx1DjEQ
z3*FAn%&JN)tby+luF0j?-rPgel5wITS%>Bm84K61ssMU)r*-AfL3+h>@RBT7e(xu4
z>borDezQ<12tZR6`5l6vY-<1MJY%DSTNQMo>_%+#j|_Y9b*LFklz<Fa1n#Ina2M}1
zZ@+^;AfWva^n!ZnSb&8y2>b^^nYUmgJ)bd!1m?W|IWhMpY^2a!=em3ye?>=QfDTNB
z0Qua7yM5B-Cr5M`UN~O=fg{P1Uz#?TmP6U`ZVa}{&gJ9wNNAzP<M{!SD7>Brw>SGp
zJs=Mj?M{ufWG^s*zx{SNeNPGDIv)SdWo~_b%!l3Rnv9kzT3@%!V#djb`x`vEs76Ec
zy#=AA8t1!on*bbbHMRBLMsmiSlwZGA2I^nIsJYEDnhC#s@nY!0Vqb>d8*Rf5UM1S9
z;?V(fUPkmIHschn<aJ7}q&d5hBN94zts>9^n>`UrjFe3lAGIPxWK5BEzrep#<C27u
zsQjA<>l(f`%uXMx8N>l0(g2!-i0*WjCnjPV8+jxoB}b>98;t)H7t?`7H7P0Sgi`{P
zJNu)oqBA+&<$JBH!^zEU&f+uqR#}HvM((-#P3k=H@(@}){?V+RPtS>PoP{U6r6sKv
z-Yuj|1%K&TKqxCK>q~m1zy;AL>a{W|S}eZR9d$_HU;hU5p4QI+&^yF>-jCVX`s^uy
zAO{r*h<ZgrUu8-f(;plpEgTyD`A9_)00%tpe3&9K|JGFmkgJ5CHwea$xs%h@v_^La
z`u*a`q2k82EL!B<PE2iY5#p!VzZ$1=8RQ(eNfjl><|&OBeKqWHVAfLgaf}C6JfM~W
zIv<q>{+9>{=tM+AP~#F1dw0&n#9)G|IYuU?%-_FlJx5%^|GQ4rQ?-4nTu${AKTX1g
zBEA3&*UoGO1q=`ouYlT^4A3A6bx!;J{5fe9_yZwz**@~zoemZ)4*w3mevG`QNDqGL
z0q6N`Z-E=gVkvij{N_}`|N3(<^nJnn{9W6=KEP!xt3t(>mbKE-s4L3)kDgxPaMxkR
z!^Pr@JR#Wk)CCdR-u!JPEyNkE;}N<an%^Am_{K-GG9y$PyFKfap9OQ+vqr`u(!KSh
z7TSv-C>q(X*%_O|k|ZGk&=<|J)+P}R(ZTqKGeKl))C_(65M!N^x{-_DiOAmzVp102
z-p)Eq%AgbT%-O|1Klke5TkE|Zxd4L-1LgEUCm=XIIzT!aBLl-{Q1jYHT>>)#7TQ!o
z*e^5CHzlyP*UD>CwFQ~K!u`;s9hr&}hbX720O>TaDF7A+D&HWkeM}E-oda#;&dZ+N
zwYKX(4@i%1x&F_8BR$8zUF&FgV3;B!BHsR~hxJz$M%v^ccyp|=Bv53D1NAOXsV}Q1
zN~>ykpYN|#9ULleolg0xj|-EfQ=~J4IdMJHe7#c;-@k87-1e`^3e~npK&Ua0bGHr(
z-UN}gZDB2R<-BAvYk>su{8wqY1<>=P1XF^H5%1fLD(ipja^3s%gD5>NwVDV(9~>IE
z@jMcGl#ZGAL0qq*W#5`DfSo;5c(*@YQX-}^2*fYYK^w&EukGvv#>eA;^d<vCLqNVI
zuv@2f$iMz^BJ2L~>$lo<<h(j>74exw0tW9uv`5cF(vZTV@%+JF(DgDpJzX-x3OB)R
z923K%v2?azKb%oe&<~WE=FA=4eLX$Dfe#F%sewHVXe1&4B|vLHnywI_T+$;6WLJ9J
z4e^A6qOt_C{Gxe6=q&G<dBd0apM&w5p8HFckIQb_r8OE7zQ-1Ek{CPaj}z0E>0k0-
zH!)+jC|_<HFV!@lEqk&N(bD1_dzNMlk(UsW(a`vWZ&@4d*e^4f?hRWkdigXypu;|-
zemfbp8S;Gow9l8&QR(G_yEEw~*&(v6V1W$uf{z|NfQxbwNp8;?868{WbT0e!#Y{A6
zjbVJedv-=)PY%D3-zuNqg=lL;1*}pV5KswwfLiGE<m7MdAc%|uNeMb;W)h$YBUd(^
zoS7K|sAF56F6lvfC8ci1kM|GbX+4TYCCKjYUEw3*)Y}e}bPs+>6>UhpFsnn1108zE
zKYxHS%b@urHcJUDEh0dhqp=V*I!k59MWoXoDxY4v=`2G1RX_z8+5c?C!Dl(g;`Ml`
z;^6Sf8$<Q~(Oq(Ia<a}4smki<&igs`w%D!CIP$p(+&v)+4w_=^wEeDY0)fe4iMz`U
z_)CFJgGWM<2V6FFGI97a1k1m+yB#xYvqS36<Dw%Hs2s)cb#;EXpXeU$OtoOq9u$s@
zP6_5HM5bxBp7xg&a=G|qhb&NNi@BI-H?f5rr9rnc60(xP!NkpNo%4AiGxflZfzLYp
zC+-09$fJ%<f2MoG1|$fjf`~1$@~$r`=sn(>5@sS!MH?C#mVxmZ-2M#g?77y<&9x1n
zyD%<W7>y>Q81#wmJfsVuk(C@pzNp?pNO8$E&Z49!Jm)PXBqR(B3i?P-U-GdPyxVWV
z2?)d`#AZA|3lJO`DR1e2BL;TipcXUz9f`=w=H}1lW<Ib0gz9&|AG8On7Ldt|77`kI
zd(?3JscFbK-LnhiD48>!)zebb23*{{dEg2}|L#xsi6!l?sU(bvnPnf8Dw^oVv6kgl
ztE$`%jlWZj!MD0y=SbXj#dK4b#6SNrjX0Xsz@C^0-^gH&<m!r&`_4`L*AK`2;qoIZ
z`ikOIUOXmJ7-DO85oh!Ezr|jd*m3B#oWBOug^*rLzVFt2MpD7b|H%7+ATgdmbUC5-
z-}&^nrhC|FbgSs?xfAVdmY2Y|ax-9|ramhMk;uYHO%-o$jIm-Pk|m<ysR;fi?ojE}
zF4q73qhY%%kwqX44NU@zY1D)+-~n*K5%)<NX!^fTET9i{8jhCzRMmZ;gsvQc9tDU>
z<A7aAal*3Ya!MVlh`Kmhy!Ywyg}O|DzoF84ISn*gO)Ce=N(0e9bYpKh?+?appjvR(
z`F8x+fm|36>V3@l$D7ONxw$T`eSTlobgIH+Yb0h<bjf|CS}FLt;;!Kl{fi>+vbA?8
zAm*`_MN^u3xud;Y^UZg5Oh(Ox-+PK8@Rb(mdRe{Gm9LqpWDb$6YAncz!+y9}7I$%<
z12PbNd+l%X6e<CenC$H4T_MQirKtqc$@$J`wA9qwcSUcUQhw?6{}RLO>pFkVpaNRf
zhl{;ebCso{ISL=>sYSJA5fi0EY{l_#zAAike?q@6?i7RMpS-N#LOcb2m4VrsR88Aa
zC?WAU=1l3S$+J_vO??zIHB1!jsEMXd@3q5_h9b^An{W|tU>k^~3MdKcQonkm`A!2Z
zP3O~J>&=kqI9*GK8Q=R~lebu^C}pR=!Bc`}o`Xnwu(2=K??zn$J+Go+lhf1Qf2GRH
z=5HoZ)3jN_BAM%1Z(dIEo{ceCX(&?|GAR&S1<e5#*4o>+@ge2p!oIC<itu}{Cf}xv
z+F-2XCGOtv$}foRRjB}ZG<0z}G?`2NShvs^B_*y)CGrQM){R%aLg1%h?-I)POv5T6
z4Bw#!E*qI28)R{JsyF)RgI1NAnTcNJaCzr=X*J90&Z#+#MrBpkR(^q=KJ(2(%N{$G
zkr6@&{yX96V%k&N>VMOdan4<rq_;A30d!rZd#&(H=fZdk(J$RuxA$j-7$(LyEfis`
zJ({q7Du6^Syl4c3v8o~hh(_wp&J^L7x+nrX=NYHnPy2!-l=76>sM<FHo5pRfRmQJ|
zYf#@J(foRJqKfe<PHSAjYuk>$hK>sk9EV(neRhI0aAeXTi19tk%Rwm=7OrAO=<2zt
z%eNYs%WD?Rc{nWRDucRwf6KgS0<C$MnWw)S8n{985<o-&AWAr|Jx>MG4xT+T>h#1>
zc=$7-t9ZM2MO<p+u==`p{>4o<zjSBEKq)rK57%H31``iN7<B7DzQ`W18Yf6L8HV#)
z50yKsPamJ%Rhk@K_jTBx8t%wKJ8U-vc~s~+;C?UnCYH7T*ctox=%dgMv{^DKP5<tS
zGVm8CM|z8?TAr+#MEpT0%sGwsgPXAabaBbqnS^Tn0f%Hfgktz>dIm&|u~MJ9G1W2w
zu&`83^O0ZW2I|az6>?#UD0<XSe3<5Z{pZ3^43QXfQv$niru(Q}9;;h{`TRz2^Fy<$
z>#Lvfe9^x141XOZd6K`KTD4d;j@M8FAv|HNQ*=(QV4bEM<tp#HBPw}HvA&@UOXhhB
zG;A|P6F1~eWKPcm4`J8>1kFM5&YC>lITLvRFxAyTC=Tj(5cvUmX?Njjcu~Nm1_XO7
z_<*7sCZCyv<+g_#vy*gD#9L@0QvFwqT?J8Vk}p7_0mAgH;q>Q`!(rZQLZBAK2t_2w
za}1thejcvDy;qP`_NtKGvmuSQAxYi1d6P*JRqI9d>$tjEE$iHoV8UNuom);rwXZEc
z&USY|8fMPPVS7FO50iu4tN7tgJH6pe{LuAu30bnzHAPtJ8_~Rsa5%8!W;9ZL4`0{m
zr&-sT&P}ISFu~AT!l_Mz`?ER@`}xrh$NhTp$g>D-AXAbP9nuwvr3+JOb=VWQ4SQ<6
zF17rb{tmt>J3Bk1r-P+BCB)#m&KzBohL*zI-pgJ8&0tbOL<CSo4zopECQO=fO-p`r
ze<U=QFA+Id&LC^AulW<3OgrrSM#l`%+wQdlM{Gh5aW0(==NHn~IhD+7`1TFX*~a$l
zsANHC#o3riNrJ|r#!?O!RB|zVw=Y-oEG6D_54S~Xv8B$&dr5&iGZe(g{m%|GAIyIZ
zMV}x#N1^}Cyxf&l1_Q)v?EpaZtoV>lHCg>V4*=N%2uH*DLkG!P=>%vXw=^0k#9;QY
z46FWi%_b??^7Glu2mK^at+UZD8YmH`U`zi3j&EHnYx03Z6drZ{9RIZ<@P}L@5JHp3
zUw?PxhvWm_mj(}{{VpBt^dT7zmp@mf2=Fb}wF>RU5Z;}sUW_^o0jUMcE5abX?We#`
z@%X5R+uZ~e_X=9Y8=*DI7`Amz?pBj3@$}1UXN%7TMuP*m%%2j%Ad9Bkt75-%F@pbG
zk?_$5d*Wn%bEi!CfqsioJYyquv>2w6whtU(`klq+9xbakU$ymz6U`4evt(eaooe(2
zTby3HaWl4dNBa~tQpUx<i%jXNA9>}Z{m#&$%CdKtVas8^^|hA|bmN&5Pe0Px`_uF&
z_2y_!7r>4Pw$1>?mcjRKEc;*&P-OzdAAk}Ado!YXX&~<^Xeoj4OC#&7hEb!jIMlGR
z>pZ<BzPsmBH;?Pe93m~<%Xd%L;5oVh+jf+{{Y0RjKtny_#e4cl3`oA$sR#Gz5J~sW
z-agZncKZ$=+e`InBTSqao6QNwDbMDg1;*ABVj4~4PP#n@UbU5Wuy`G!<YkZDyo74@
zYmw{63w<4Py+P`>cpP=C1(6AU0i3mJ>uY&*zO&ccw*g_t_vbvrEu1jy*6xHFg<@ge
z7y5<Oj};R(10$d7oi2Xo1VH$-t{T}2*z<PlQh0FM?~1m2dpsQSR#QwDak+T{+cFi5
z8moVV+!U%c;-GXN&bxX%ufJ%1K85L|4aJ+RVuhP`UtiVfJou36VrnDGWcQjA53f52
z4o6JPyY^aLNXOuJ_i#x_c5E<;>zAB?rz=^#Oly_<`gnZ>S9&7~m@dnKgwZ?*Z<E^F
zgEcXC6^dp#)c52h(U5o3s-8!gJIP9~gEs7}Hn-pD=s$1#6Aa}_!3=2B_y;4Z9od@y
zK|(PbGk0C@0BqMnq0Xv&2XMq(%6e;a-`&jE(a{CZ-vT00DIO&#Rz((&VX_es5v?Gs
z2-<w=d3W(|auN$f_9)~*jm|)>{T+zWJ#oOY>1TYrN>NvQY+U=kCV&1#txqJMHso8N
zvCeD2gpvxAjb<luruxH=ddb10%W4foUgomkj~DO{8k`h1!;oq<{gi+&;&L6$kH+DH
zG~GOH2E;RZGu+sFHC>R^e6<57CbnyhCF*Cp2Z$X}<VJ7v*Uu7dkb~5s6SMI~@Rd1I
zar@*Gn~Sd6yPV_iDN@;<6-%P;56|Rg!i{Vf{ENdq8l^k)RZGgt*6m}ITzy36v2lCX
z)y^DDEcP@kLDt?AwGZB!-0j*eX)k{3-($Zam_yapM)VK3VdCkC&(!0LjI5cd=M8B}
zMA7e5XGg=~OXkJ}($z5SkWKAn%Pev>bDGAO?lsAPZv(n-E*x;j8)zT7+}3rid*?mt
zPn3^`vJJQFS$O;>-RW%Fr49y^zdDI(Y<CX*bFg*Tx+!`Il?&4uXRll9ho{A{*%{VB
zx$NZilCz+2hyb=FN4g_mUZ630yq2_h5Oq}vh)B~{eWXHTQ>GhA#|*1`Fe0V!muRJC
z0*eW7#@*iD#>71>n(G3AAPsPo<-et7-7lbWL8yLzx<|W2a6(msaSW>HaUZAN8a){^
zS<@v7P4w;?Ec8wEcr121>4A?0yi_NrrO!5}Hl#35p!1{l65>C2IGjTwPq^%`<#WD9
zg3&wJ(@xR)g~axilK!zC{AV?VP5$S~Y#Q*v*wk`Y)440=t&a4jn#_;-%6NJr?M^3^
zm)liV8km@yLs{<WB~>MoUkCz+7qiJJd<AsUj#gH^JEQ+9(aZ#FA_xwB)l0?XWu(p^
zPH9bjf7at8rdQ~qSvSW`;dY2Oz9eR*pn2Z~KW>}lW|s&T>vR^&DIXxi|CTMK7`{Ad
zpB@ae^@PQppHE*{Lm%p(D0^_gU9C|tCoAq+1OB2!JoJwLJ-?LXaZHW(TVGD=#4Yjw
znGniY&<u0q!J_Yr>cua>PVrJ8LJHW()Bg0XWKG0&`2ydV$MvE!RGJD6gpG_80B!T2
ziKDi@ehkz^fxBErOf1lVQMs$F8tF0j`sGSL9=}oyE?5Mzd6cDo*Yc{|pZ6cNM%nD1
zej4dX!QjJ1YE62cSBz|geZ`O2J2%Y6{5Xyz^<c9h1cas}`?8D=n=kNx3H?oSZ-8KL
zV5@MEKOdFNE#b*y9MQ8{fJteE{eG;W0c{GK91}C{q|dw{8|8#*W+tJ+Y4QNkO1*jQ
zWxonvJxvXrgxJ7Fe~A;^$$bg4jeV7fiYS4#F#&)=F7^)W0OD}q+eXI%wmI!<jS3p)
zJj-ScyNJG_(ZHa(bHe2<!WpszFma>IdehZ^blqAvYVYv!d0A~G!*7jtckcp{Tty7*
zxc2FVOPSB=4Q$ykUCHdm&X8YKV;L$b%%j`K(!0IUQ9Z8)n>e8$Ogn{O`%@N2D4#-0
zK@k8{wssdg@>WZY;>vOLmp))tr&X)`4NA@55c3fNr1OgeT2_k38rNz@DUE=Ff|AH?
zO$3G|@B?zEY)#&C)pL<*)OAiWqm{gxX}WlOcvqd#--C)TuEXgzx4u_ECq7?svC4<(
z9!F$!my2OC+69k@#vNtNQ;V;&*@p5adAdb_$7=62ujgg@_ww>SNxHs`Jufadg!(G<
zuYd~fG2U!QR_!HMCUi%$m;9P1<VJ2+_hWx_Z#ng1-W83InPq|`I~q~Ir?}F>RF>KN
ztKugy$^O-YI#o6+E>UG=-O!H71{G?5l+*6nPGmf$wRL9bq2e1*%wy*P=!Ks@$#4nw
z*SF?E{5rS|jB!TGb08RQ2n@{u{I|Dce%cZ`=W%jjIK~rV3&Unc$2vy5)9)fq@2i;~
z>c3Rv%uG6xv8AGU-M#*9BrTo5@f)%Tw}9l}^uDJv^7+lNtcDr6yR5eU<CBdQcVKye
zaoKerO4>2*=h7mQ?J;~2P76;*UTWVs>?xBELbpAGy+8N365K+2X}MN(*V;mVxPT+d
z;psg6`2@I2qvNly?Vp=|!h%&A5LZCcJO4}123@z%1noRQ=m*8fS`RB35$EhK3zI3s
z>&AWmH+pZrh>)h#sj|=sFT)uT4JOJuJIbE>I%9oymy@(Rdv(Ps*x5Zi0A1Df8$39R
zvJ<~9(kq!$ZshE3#1t1h<>)(HPI!}VkQssx#B!$LlqXtiR}u_MoK6R$EyRvW%E})~
znw#$;yS3bN=sn%;VL^Ypgq{L60zy3p=eM;rJ?Uq!BG>Cj6pe71aTBSMrn&G8-^UkX
zVvSix?$dqpkDKeQYsc684ny883-F%_TDBgJ3y{D^aoVMB4s&8<I{Y_M;O3rtys83c
zvA!}}v3Ny7k857$OWC<ajDcY~IfC26U6+X(7b^)xO9JQf?B@`FiBj{v!vol-nk~v_
zb$d*pD(||m5NZiqs<f%pJKCWez?)2*X!JnU4maG*dri8%#e16x3)7OyF+73#^pLBr
z?N+D_grT8xUHg$VuXa06wk&5-T>cYO=CI2!_7?F99p0ZQU6eqlXlQ;jV8|3n3xPM^
z*51Cotqm3^2Eh4LR#pbqpV86L?cB$WLW+u*-VYgx$ghFizFv^U*1DCDXF}cPPuCy*
zvzycn8gOav?C!6v=&BsPoQmFp6APB^{<m1Icfg;z;1;&6MHC1s$}j5JFgF%y(O60v
zc}6ad%G~t{euTC_blV#FLLgWg#{fOptqHTJS8K0~<p{?}T)x(HZy@(LS(0mPI{e1)
z%=t&=9;Hr$nS1hb=V)-`-xDTI|Lw`Tw4b)(HSF27^H%gv5<I>_2o61&-GR%b<W#Yi
z<mz&|6&zSX`HhnJ?#wI(v(X-$Iy<kdi#LharndXM9xdd=l(CXOj5)kCng8*e%=eZT
zVhJh@wtUl_rW&41!3(S8PFHF+3=iW5?|Pzv#;?{e&&*g$3w8rQW7;=+1B&-hNoc6P
ztOf4V0h2B^$}Y-xbBx!;!!Duy&ST%~S$`Cb%1=}Th&0vg^^x%%O+=5<0T`?#G$wi0
z6Nj@p-|-cYn6c^JPl=NSlf)Xg_xI;d_s8Qc-rj)yBF0q#0T{plcnfTbuh7tpfxE=d
z&kveqA@;5sq+EqYu=wOC<n;^;WdHpe2*_PYJPBWeF~!FY<p@pJUO8Qv4{mJIpSqL-
zb{EYz_>G#~yFVo#PfVTjT%Ua|v=}Uagr68tIXh!jI_7&IzEP)m{hg~0ZnYvRo-#0a
zxOIFS8^}p8FH3E2vY^29?3`F;D?59ubY)pxwax;YZEyey)o#5*e2@h{oh1VU2KW!5
zBZ^-DMXB4NsaC>LXfK9P+9w~!mVp6Sucu3fbYiZbX<^vyLTb#}zGy^YQv-w(J~#-~
z6wEDw<0|N?b^I|2F-hN0E|+l-M+=G&?Y?kYKi2!M=jxjoq|G^<JfNVawFsmYywT<+
zfSyMb?8bMM4!I>Yh-8MyAHR;xxO|ARj4zRZSfw)NH1S(s9fg1dgkH|Nl%`av-$igQ
z*sfmAah-gr@#@$xD0}QudJ1g(94W|*q@Q7joD(&ZLgSIda|g#Hz$~-W+zTARz_bvp
zrBEZ$K#*Bp&II+~0nr_B7wUtx@6H}yeU2~i!h;ZeJrL(BmC6<CxIcCJ50Uuf;d~fW
z=}ghQ`Z2;Fb~X*jz7S~S9vmVnIAy@vP{?*UxZ&Wy0@`T~ej<Pdz-lEM#IWDw&KulE
zR56x$V1<;}tb6$!?uarmEyv^3T;4sD+t`pIu>2W^1OqOJ)FN;JSEC{3)py@uENL3)
zo?eeqQ>U-g7ze47WU14~VV0ED&rW{R`~>ax?Xa`8yD1Z^CLLK(D%S=E8__W_ph9HO
z#=#;#@-~H#*2b|4L1#EE5X>}782?_6H{@+QnDiBG92ln+h=;gMPkT-em0AC~+s4A&
z={w1I0cP}$m8+#UyDLJrWhsBDdkayT23CXF(_Ne07Y=D}H>>1XSXtNH+ANK{n|*%h
zxmJ~^PbYNdiG@h&k5W0B<~m~NlV7M@4<ef!eg0iR^32{yk3{v&qQNUQcAHLt)Y|14
zO?J&vfAD(Ue`TZtOro5})-(NS{oWM5mkyP<1PlHdFP2>9)Xtsm=^C*X5+_nTt`>t<
z<0ZGnXbb0)F(!=X^@`7o<c!_st2REHwX12WtI#yrMtzX+dQ)-SUQ%YBjhg#!zS)x-
z`1qj)QxKji5v_7PJ~?T)JC*}wqCsMq)4|L?`(a*{*Q3x>_(nBZog$!`hx#bMjeoz(
zVmTKBEOV$tJW#(OE{lmAt;mec!u~ghl7P{yoh8dP&3qqr14FVs^Bo>1zQs?26kv(N
zP=eFq{iIU0j{eD+n$5Q(!6B((e#BYvErFM7>8;nYyZ}sxrlh4Dbt%l%BVJ#Bun3cZ
z%{)SMs~b8muVYEYn8IKo!s%5t;)=2z_AKWYG|2D}9VsU#0b;-(7x#G;YM)EWZJ~7z
zVtmB!zM2?aA*QkcSF|QLD}p-QDuAT2`m>~aUAJ$+;T9Q{OOu?!TT22KeTa$=mAj<g
z2OI^XH~ZxwDT2+K&LP&*5FuIFfXKy1+>u@aX9{X9=QpcWX{lnv)GIa)G?KDEqhiKO
z?~U+wc1~L4eRqy_gOF!jj+lb0AufOY6pQ7`&lEYRWq-nrbWf++9?p;ase=GIQ76BI
zpEHLnMNDSpS~5eUZ^VMXzRSu~7}xrxKf}MGCNZ7Kh<(>x%=q|`p-k2e35ayN^UaAa
zcuxR;Yj17+-M5X0i^~8qlA!<sJbpkN0QwOZ1k%*IU48;wc{Wh1f=sfXz@0Gy&Qd03
zV!GP|5K4oHN~i<4-j6<)A;@WR#fUl!8@-19N{%JqPGUSyRL&@T_gh0=COiY^zb-MC
zZiaF1LS7j>Z^<=#84JY@tKY8+EZw@nt{Yu%+~o+<rOKD6nF2|!zV_ZX#y=l|>fZ)v
z-(x2v;L44(s@&Jrv9|A8<(U}77&%GWJIIx6NJtOnIY^nQf%p??Tboh<=VQfX23Nh8
zkKkK-<ifqieRqf_(4D!dwFpK-RMPjQ+?@EjKdz~|zK_`$=)<7f5<z&l>M~h?6xK$o
z^bC}+M-iqgWt}b$5A}suYV*xhY}6Fx-dgVOss*olf!nL<zD>1({>}F*xCK0%83b<%
z?k>bCU5($ww`4gflC_;@<EtsM9w(<&hEu|gmdQ#U-gJDwsQRA^C-3DTU%7A2Md%&t
zRxU5z7?msz9nRk>aXEV%ytyZt-29XFZ!lpMM=Vgt9-+aNG5d>TP+#9GSy^4+>~miy
z5c!rLgN$XT5M*a+z6$6Al)1@9+=t}KHsS6-*v@uhtyf7HL|*K8OSynzoiEYm2Onfn
zkhzH<u;FTZUSfent&encsFs$NJiNSk>{f)J(#@`_zz7IRZdL<`XF#3~Fyvz5;EWf3
zV{U9}+Ffem2AOC^vC0|1*lsgv2D`ss(jr0^&kVjKpv#2db5n3v*2O`d*Sg1DB@6uw
z!H*4syc;L0U#ZE1B;o3us=u9`zfABuzx0^8{VuT$SK8!$Ab!4Sj5RVb_a+y6igeLJ
zgBRP#n<d1`cb?DTKAc;t#H7!Yj3(_%MZCE|GYL1{8qUIx7wdE9w|(D8yZ$Dhusf?f
z7e1-kC#^RS)1jHantHN{V1q0q^5kLgKYEDm*_egI#f7MB<!e9q|LnG37uh7B<w3#t
zdYSt#oLaNdd0--YFP%_DMZPSBmOsVdHN}gar6Mw4#M|}7u`tHPd4~FAVtDu*VGS7r
z0QFIE9v+`Zb5kjv)8^1LA(mGu&3)Z12gOyj&v}(n|0X#cEli)qYViOSmTyd;R#lqy
z)0a$oFoa=ZnvA<8p`Ve;g2N{AWIst<@#*V0p{7)9JtY?C$h4E#Kn6;?-Ob4#OSFqr
zvDCG35kvKV#i}*y+a@R81Z@~5?Cr0ce)V=ryezBOx*ruPvo;eE5T`mWT5ezJAsF^(
z+Oe;3-A<_&9v@nW*<FO)T|E?`2-x!D;L4&@vE!xnwbWHnjl&LWY(9J|C;EV8?~614
z@}0$QTipP3j)?GTL?1c^nuO~8!TRh&09=2Qk&}bP|H<j8>z=)*hsVg+*hfZrX4?0l
z`C<or5rDD=8rCZh)~_G}8dR+nYBeQ+b^2K4ZbcQ9DhLy!Z@&5H>bkeh&CAOR%1*`q
zixr3j-5F<NlJuk5;uxU|#DG7^1%@clh6i%>y8sS8?<fOHOYnnD55leV9S#>z?xgnx
z3S?-BT^p4G@2<FezfCUryj_|5cKO;J%!)}Y%oN*BM{wQAb1eV<En<H!FeZK`e@}bF
zwl!rW<yyp_-rQI|S2juEPkxu6&eIq)Sour7vn5oTSO$TmiV6Px)!z6qe)Ub3w6JEN
z{)k@~hx@`K-cO2B`%6<)%h&FE`;$2FLkropr7>E(9{3Kh=3N(7H@BSfs;Yg{&+}Pj
z`+K|j>4HSlFIx%=HF%Y^>k-OD!?f0W<Q+L90~%1WMBp)SR|Ipzi2NMRgth*>=ek7&
zjJl4cm6U1X50C^L8~x5Us`E`mqIys8bIns^H_c$EtE+_y4B*mxdgwmqDe4+qij=&U
z1>pFsf9osFtd~d@V-t534vAaki}!S77_rC;gcH>F)x^Q1HKl$;hYO~MR<Z<Wh<tc+
z0bo=56x1lAD8bbtRd{bm;}6z>))(*VU28!a)Qk<=kDuzS4amUFkS<$8yfuCpz&JLp
zZzraXP<fh}lge7;f3c#e<cxl9Hv=IUw0@Ui5X+LHsbfA@f-}rKP9L$o$Q|@j8HF>}
z7Q?mfhm7(epauQGj#(GPrAv{!@7WtN;Q=`^7E;C@B|W_{xWGHQyMdmu8<gJcfS3T#
zL<dA`Odu4qt-T#;-UgX9ZhQOI3$>A;^X9kWCp_RwJ#N0Ivz!MR@xOn62N15@_1viJ
zPU5ZKoU~3(cD9a%MM#$ZWSkQLK7Lek^8JQS8%gRCQQt!6xb2l~M}seg$}msu{>=B?
zJteDdcJnP1nXyYu^x}oK+3v_Epocv=FG3?c=5IoTDSL+`tKp-hMnkdh#OI^g#DcEw
zd3FgfaQ@4;6Z8sd)s`~4UX1SSY2JTa(X3F`SEl@v3-bqVv!-{LTG0S7AT_TQ{i?}e
zV58m@e)t_En@~L0q{ei|-1E}9Cf4W1goP=Cf!T4gz+w}BuR%$ZU2p96;2Z*zkW9ej
zX29@)SADE+7Bu9FNEi`e@Tm&Oi!WNqrD-d+;ZUR5k~5`cU!(-hJ62ZVPP2bk>2fmM
zItfduCsZj5DyYA!yw(#AXTyx`aowM{^wW}tecv<xi(U)THB#K%c>jpntnU4W7eb2=
zV$oj8#^*AtdMXhv^H*^XE1ND(+P2z6P*8bD-zd7PGVIW$$(X{Ss;Vw2?q8$fyx4HT
z?4Nz06KNsj>!uGF&d7lmn!h{I03tW_S%&!*UivDOEg9Q)qUid!n+lYSoU9e&Mnbl^
z*?}RMg0Mvz|M^n;#4|#FVsP#J{%!T(X&s1+j9gll*I2$PesOu(+w<3pto{Et=27W(
zE-x={Ac^&LjzTZEeuhBm(_^bG1_lPyF$28A1)ltX>UjR-JuMFhetKm8CKkOOac*sG
z0ti(a7#uYJQ0`B~%$nTP9|m(W6*bFZ{^Y#dwNv9iR%}fm5xi;fVAn0Q-Q46rcOOgO
z>b|>>n`D2Pn+%h1@+3BQby8H@WQnHT)xy5!!zf$sJ^KOZ(oL4f@ALHj?kA}wpKZ>~
zdek|wd5XfDZ6pm5u_Ywn0kIfo&}&InyFm)q$MaF>f3DyM9b4y<F|o@>a5`Oouh2y^
zT^AdwHey{p<v%GsYzMb+xEJ3woGq5DXt}PCD8F2?KUVdE95BWus}CGYhBH}?(T5P8
zLxAUgB4mLpy%F{@zaSKmo-d*iRxXD6TNQT<M!eqWSkx$QtERra3~}ZY<W|3XHfRH@
z^|nBqW<GD}m2TGv>i7D@+v>|zDQ|Dq56sP*Mb_1}WHO7Tjfr_k?pwUWw>8@*`y&|_
zEH)i9N4+Jl&7#tCPy)15|8aXZDCARaU$S!JHMuy3Qj|Q2=lK=sswCVUBEa(9h3&Rj
zZ}d#60z(k)=4SsB<1hy2rD2>iM1bCMS}nAQk2Ass14GlZaUkt6wB^KwV2%DaS@h_1
zaWK@zuH-tbNHDG1tg%>~3Cs;xy#@E+lt5Kcxm?Z$Sr|N%RX89U9xy0jVPPImx7(9p
zN}yt|2&fzDYHMw7&kU^=YJGBZxAnV^=Bk2$u-rKR7W?U{Ke_+ZV%uNzJAt=`wv?bE
zx^z;a{-KF@U1my&@sqGf)Rt2`cjMJd%laC<k%1)-TN^$kl?h(e6p(m*<n+)Ou1`=f
zHEl7Nn~ZyZ#n3gd_it86g%vw%0w{@1vHp62PPd%IKTS(7hA8{`W~(3kM2c0gXgvr`
zY@KoH?+%nL5I7UzUpiYOEt?fL%9tJcF1j42egMS#>EK!uA&<kCb^C>RrIDdx@f`gF
zi^=Y&X!8=JyNaG(s*jvx1pL=`&j|=(VuP9X1nh5!DyR>}O|0f)u*3Gy1e^%N-F9xm
z)*}IPg%`dx#ZqG`xW<oe-c7fZ{X07*eHqdoTg$ShP`<OXFBM;H<#1{3(<mjNIA_WB
z^Go@y9%j|#W3QZOfVBwPpMrqb;7fIBOrn~-YWHuC!~GoF*g8L5RI@0VsYsH$-mPw|
zDu;TpagmZ%<!!8Oa@90l*{<8+W6Pu?za~$&i#5O30fWyAL~IfjU{wUIM!-HV3+q3+
zSWnWRfX09OGGplzsEF7Qca-h@zZsa%PY)O4vIp}u$9cux^sB5OzSWG~2M3tL3MOAF
zg8-Ocfq^Sv`?wiE?Df|{!^nvI`EI%e_($~++sr=EQLa`E5i@RS3+*x%GY|2FLAQ@?
z?v&>I%V%=mR(Yk5n|DL%E-rX=niDTyM^Y36Gk{m^4c7~sO$Qckuep97rS7y(S2xt+
zE>)&b3r(Nf(#VyQ9UC0alM>1FQqvJl!*ps<q`8XG(ulR0V{?+jL5bv><T<>SsW4%U
z;>51$s@{?+jB|cBR837wulvVW^Ufw#h?)1AO@EGRwsv#`#>qttws~p^l*a#baV#w6
zo$N7R7!_DHIBBnS;<zy|bR=t1>^qMw)cl0N0I`$#hFj6G7Cj?va$#eDGo*ij_9GQ9
zB1JNJrI{{>+THi+%rT^SkWQts($j10c=EY;b@4ki3-Tm$MT0+<d{ap1B>I0?JL{+_
z+iu-21QkS4L<Nx)MQP~{Q3+{8x<Qa`kVZkIl`d%k>F$<pq;t{T-Eih|?{Duh&iVI@
zf%^I)u-5b3&%EcH_q=|Wy8iLViygy{Z^r#3KUa<>C6%kbm}lFSH+D_AuW%sIF?`wO
zcir@Ky4Jvj=l95kj>W?fr^;glLc;H6L@%dXHCk+8Q65F@U~G5A0R>31*BKR*2yulH
zW=1Y1ZT)|K`93gNArvbrsy!Yce5jq_8+*9F=wEvW>PK6l1(f3B*B|49<k#E69aNTc
ziE$B>&t)u_8QdS}-J)352v1H;RVZH`2nIlt{z{xp4NyPjE3X~y?`K($SAmD70Ssem
zX>HF<e4Cw_5fPQC;RCVLBd~HpJ@7=l4k6Ii0lO_Bpu&JQbcI5}1xk`5fGn-<4{0nm
zle*4<%X|t9e4<n)w}}|&>GeR+i}FW;d1%cK9~!~3R4$sFO=RaTXU2o`*7P^;$BI=c
zgQq9z-2aR}KA^QPZW_EUPcmEEmi{b*x?n!K=F{xq$W2#1k4~}g3a1WVww`Cy@YnWG
zk&DOnN0v+~0mEQmW?HNM*(Hhh=g;&RL$TWH4xQEB)f%$054N%F%q@x&U0wMHvmMQ|
z(az5ir4Jn|w2S1`4i-~(D_>MSnmxhjZ^sC$j>VDejCx_9NoK-B<W(B@r<!?)#nJ?B
zJ>r+H95S4V^Hof(Wq#TTjvVLJr)OJ>ST0Aq7;oqbANFOl){h-cnHY7BZxBZUKJ($#
zuSCAyI<2kP4Ikt$E&4~1o{c)5n);@1T|}wOOh+3Nd<PhE=;+?v3C-MK4~q)EY}j_-
z8iivArY`xF%beJ_bNP7;Wl0$<-@}-hf~DD|j|Pm@$)tcj*e)(y=#1~G#3c|^)<Qd-
z)$wZY)HBCs;E7Tu4}NJqNG$(aO;@EOiF8&bvV@8@SSLMIN=$5(8tJ$!abVD{QWwKG
z#2#Oo={L#n)$&zf3qiPmQ}i%%Uja75C+h`C12o}2)7-fx(YrU^@aL@z2i~iTu6AD1
z9SC@5M=t_XQOVwSYgbCcHLsY1Q>yj&d9$pnY<ftoPr${g`yPq|1KcqbLlc1Po}QlL
z<u<+`w=V#74d40RJEY@gm3}2YG&Al&Gb2AQPYYmoeuS(((5>4BE6Vq}dn!eSZ$N_a
z<~yykv-4oKnlIq{O*|Dh6^GfTU7Ig%)yDGU<Q;xrVVJcwo%ayM(_wQei<wbgQP~{~
z;^g==tYvJvSG!&jPBJr3s?YRMP&lymuA#V#ByO5_<k7LbiMw}sTkGF1muHiT;(oV=
z%g?Wfg~{`JpFxlHZ;hGJ!CFO!Yt2zc+hUfov(N2G(zah%F{QS2p<BLKh@%o4y_utc
z`#LM=Uj;>tjjzR;4#J&D`28${Pk}DVLw~nMq2u0z_G6oND*25Y$*O6Q?0hLrE9!do
zZ$kN>%}uV?=<8)(idzv((CROC`mT+e<GS79R}eZh6@#)tsCfT_u8PJD-+2$@TfO-a
zbIB&Y3HnB;9GtlIUZ{<$NvF$Y@>+RI6&siy{^h><Rs14(<&k-1f0FZ?ofV~r%^3<G
zj037V7SvX*wevbFzo>roXq2r)$0x_NarjG+Y`&P-NBva+Zk6j-jMpMvccv{{OTPbB
zXtv3<(w^wa8}P|t69*}zMxEM6ZA}sHL_gB5nE8ypXEXt3Jh-<7yxv*GnypIZx>HcZ
zoIhM%lY;S2t4Isl8v7{hNbRB3)FQ3}TC>6x34LEA>I?veu^4PH=N2zxey}q!rK8r$
z2LGZ(e!=C1wD$C$uK?@W1$z@1?IbNMEGz~8QD}e7!mxPd<;CeIM@MF-qpi0&|LCsE
zlU16mdFV-Gm^NZrn?`*9#o27CwBN<Nbt|j%d}W}99}AGVix7G!pFjUyT%TdLcXMxR
zef+Llt~)ManO=ru?DMvJ#%gDKV^e%IcCHG_g*NtcdF{<PGn0Mz%-9q=`6TpexEK<{
z1=B=*lO!UO$gE+zsc91a{kqDsDudnz%w*ZGj@XZ?&nFv%1IDTrnH&!c7d9Ic>J>hY
zrEt1mFPhI_Xu^w&-$+}W$=nDpbQUHM{%)XmU)p52k~PG&iq*@)`CO?e)uocWBGx=Q
zF^I|U*1mZzTl28=clDRCsy>nnXU?628Lu=H&MjXi{N_nhNO|t6X>1eY=QXSAQSLX<
zSr;UFj=sFKD9C<Wq1>^YT;X{sR0=6uB5WF!JHsBc*yNupd#muuN0n7Y%Q`FXkCnzK
z{0`)Z`x;$zwXeK*wkI@tZ_gm%uMugvW$-HnQ>NPPV20+~f->2^6xBVwKa)^iI|-q_
zhYB_WLvhShqH6(;)-<2XO*6w8HVZd>z9!&4y>Ye1BX-d@xS3`h-Ij?eFj#cuNoZ>F
zQ)cul;2tK(P!YCQe3<g9($8y67e$VgvOIUf`EBy_?bX&doQ0;!$LT}~4l9CJGAJh|
zNdV%V4}-N}<0);S0=vWrQ2%0MV__l=Y{0%WQ|6*@)u0|$3?|3^LY4;&YBY@N*R3|j
zIUhfMjB@w{APt=4=@=P_!FKfdbJR#=7P**IOZ@l2CBm`;jT(}v9F5!kEk!iDvbAHO
zBq~Mb6lhh-%*UZFKv58*6MD)*sS-vqd(3{qY^ZBqC84>Dlpy+O(7I*v{@4((TOQv`
z3qBg&tnG~0ON~8TH9Iip+<EZo+tKVwqNM5@HBr6OfENct1()r-jtsjeM&}O)CvuQa
zaxbdp!1{D_RQcxSU=%!Hvt#VSFHZR%m02g9oHxI1zlT^_lB>4Q%MLg|*I}h%;|zWy
zc5o$r-lSzW=E~CItf<j-l~In-JWXk{yZKhbc=tPZ`n2Xkek=GCS>(=-F}mlmGC$4v
z6*6==-X16xHQ~Rj)Zv<q4`PzIb&kYsnB*;R_-*HZW_n5G!tX%xh#8Oa7EXMQFE<Y5
z%D_7R!NWfT9b?7;)qm1y!k<$Oopnq03E3CVRN+kIvalq|B}@&8Ego+Mw&5v!zZ(<T
zI(9nn{h6@T)4mDrzs<;KGBN!xS*k~76@jl8lM9|Q{`B9*e~ow4JRD~kYCsaR#kN0X
zcySBxDu!<Vf#_b69iu?7?*@$QHpY)X&kgVbrx4}zfO2CN3#ShRFDn1eBs&6U0PB)`
zlnD+G{}vqlE>s&ABf;gzlg~EaL3ZTg;v(xw){h=8rJ78Z`Xd|t95nR58E<?IilCt?
zEwL1klDb}2xlt2%n#zt;-W6YL)t#C(k$S0xRdK*G)|PpG{qcw^*-m6vmJtxp>vD=H
zC_NqS-5U}|-;RO_LfyUuv8C1Jt<h4`4kBcry@ql6fz2-V02Vnjh5Os)2qYbG2MukO
zwIAj4oCgJaE23eRcZuofJZ<+sn1{=M;$+vc9XhD&e;V=g?D5ULy%#-0FVkf67WUro
zO{lZmzJ2s?Ni05tVsef5<y*<lkdjhG*2a4I7;&WK%b3@aaN>}`+I-}r!=W6Jcewr#
zW&|r~GmmrM-9~N>$IPwq9B5S6ecxU*e3HFFu-xl&SYch?D-u(BLUDGb{ZBn7*ZEa-
z<K07_bF=QB3u6WE$JPm^<O?78CU)m~F%v8=y(p7V@hsVEYX9ST`|R3|`YPI!g@r8z
zYnF^nqO`x1ThWe{uf?p!d^Ul<xOj}$ZfMLWq3AICq`SgS*UOn9TOH^Mo-N3WO`&su
zoP<`}iAhSj%yE9Va-F0#GuwRIJmE@9PM**UX;d}e$w{|-6FoRUkQrQA6$PH=5wI3f
z>K<T^+~qFYCvr};ZLSJMXOwA`;(K`~wr=66u>E1Qx8FlzRsB;oB}D>-kZXqN_j(#f
z2=VaH2hBLdEa;vZU+fPG5D`UbpZT2!8TOXn(*HQi9+l?)<#@UqPxjlcxTLzze38Y(
zmZi&{?^$Z7wVlFCN2A@h%^ZsCW!%LFga<SsZ`nw_HFt6MH(y@Y&~Ms1NUh3YF6SDZ
zyLW$gyoBZ{9e$<8JDpcZf}Y6XF(q1Vbt{^)Q5J<w!btOH(H&pDDTt4^wNWrKe_IHX
zIGXBq{vARsRAMG!B&?ERhpnqTWIH#pPNDOQVqL5;VT11Yx6bWMf4{)+@PadKjyMv2
zAHlSSI=QN#OnAa}O!im)hMav1{*sqdz1?GSIA(E9n6okRCQz`B0blTVUhuhct+|<5
z)A7mQ^2l3O?qkft_r--oAwNqzK5xPb@*%lYB%N7m<`^Oy@5~G&pA|xy3^v8+EM~QT
zCvs(d7Ap9a=pC^$Pbcecg-RdO{8!zu2QxYwR5s5AZ-MPb_V6tpCZ?c&g`leLuaj4_
zD405{`E}?!zf@6)hT^?>BkYqa#p%jM`g6FK^3U)Tp}|P2l<xuH{t$3Vfy_$rVB6tD
za=q)9!fF0gBR{atKE?-J*m$#FaEGCtpRE{Q5rYG^!RnRyt?$%VogQQ<bH+=D6xbUr
z1z$Jvs;IcNLASE-sIWla4AMxUOG)HD+vnu0WcvNS!NCsf^Oj*bMAR5t<DU+%%*yM*
zkHZ#(?sMN4nh+mo`Pn@qu6srQ@jwm!GgsHp%9ⓈL0nX^rhLO2p;Y<Mb$i~$tjb#
z@{=waVNR2=qec;&Z)spUf}!6|>Et@a!p)H8IB>O`gDJu65f^tUqGxn8ti>S5oNxU>
zJ4HQb&^-kmi%GNG=x3yME27LgcysgfndR2rZ<=xV^M{m#WXN^cvR!9bU%ewaM^iLD
zsP}&UH1~MrJ=^3un5)`brP%Ey#UwK)sa_$NzboLPgr(0sqiDN(b6V*(+vm7Ry%#!a
z19Xh03;J$1&gf#cN~{y1Nf#%?Gp@hqzGZ^IP%6u<+})L`<hN<u-g|V@4Ef;tE0rMM
zKDfX=FTgiNP*9M=<qYf$*QVD?NKH=xpFCWlpcV#T&Pi&GF@VNqt5sOSp(3y>WtU4G
ztAd~(OixcQWp^DY(b9%=pWn;LH9&6%n#0YYBukMXMcRW-B@d>TF3vYy@&57M?<(1%
zxp9{;mBoCzei^{pNAvp5hBt>*u&o*oBt%|6f0h>*2sk*<^PW1XL$Q85^v3qWCQm3^
zEfQZNeaw4lYwHu2wRv;7H{(N2n`daU?_mlHtu!zqA#nBSFFm~IpWe~#PhXW6Y9DJX
zl5+6<^38Fm{&n;2X7*svX!4`hLZf95NJ_3g?G67@Y&P9+$JNYMt-NU@I?5nh<012_
z{kEp@nYMP$T^}(L0!OKjXLN$DRd0S|P_(NPNeH=+Q{T6?vrHDYVxRM|%uXKHv-<di
zhKZi{{bpJ^!O~J|^Mr%8k+z_cJ*N@9hW6jU`WDt)nvd^;R6{vqBU-j!+XS_>_Xb6x
zy|lKnNGPddcP4UrPERwdtxTQqm|m+VGbAtj^F6A$4&H*W0=s_E8XWm-r%5dyyooQI
zuFqnfsX}YCa-_27elb<rt6X#+@*=q}@wtPu?@U>Xt>j|diu%97&SU)MPXEBpO;=ug
zXbVX#KPWWl<8V590XX!jz2!dZwc+j0v!KyKHEa-|iXt&GS~VQUgOi+!wu(GM5mQt8
zcd3$%y}dzhZU~f1SaGplgBR|vl#6q!^*{>Yj}zsr00t(bmpp&X4}@PJA*l2L;Itt&
z`CAWjPtsUC8*oBdG>xh!fx@D*64He-H~4s*9*lquaT|*wnK3~F;XLN36@NIjC@plY
zT>K$HgP+!lQ0XHa4}R;7W`@1l@qG59qpvPftc#@F{oT!do`uhPPB&9ZKO-f1_&F4L
z^&BVcyVT3L@4=~)?}U3Y&Q%ynTDZOW2F}zjk5?7xI#OL!LqZjhPO9pSY811Zx_!I5
zlS_q5!Y*8&Jm=O_orq18UL@XTWT>wD%-Hv-N)1IrO22QVp>HQC^|SH2yQlUC-4@T^
z?S&WH+<ZLN(iE*U66LXxttzL7clO4*t&h&}U25*M#UwuF;^5k@k0*C}$Z^-L;GxCs
z%nmNAX8{^X-_f^%6cj|YhwjnoRsu#L^?G&vb(3pXG=C?xm&C-*o-ElNf1h-`nY;ek
zwzFp7j$s`Ta1G$<LjMk~v*p&*%c;#6ba2zess+25rGbng^hJ8bTm+1Zi&IkY@m(Ys
zN&VyqoYLH%T+Y*J&bQk{`b=Qus8uup(h{)OFU7=sA;=b9+f0Uu^q2nGwX)Ce!4mj}
zjZe=bU6Bb-J7mfroCVQz9w@6(V>V#R1O^(w?+gQ**zfXL$^*Ke1bGWK_*Ej$wm%A0
z_xLBdss*7uK*|YYMc_DPqP%!+tnoC~=}QmU8{t$qS9^PCOL8`uKROXwL_HppX>a0W
z2LlyBW{W>G<b2A!$=M!IE-kOb%cUQgtQz3N4ynGIuhP%P?dc6%EI-|z<xcXJ=)$P&
zth?(b@r~YM%BiqvAtSpFcRM5`lrdLAtQtvSLbW8uJ34DT5YlZ&GA-%SnX?p3(;qFp
zWN4(oCA3Lp=ifmSxO@J&4;7=il$HH3cRnZzlR9NaZ5wJnQ#Tk2+)KQILpeUT=({M|
zmQ(4p?ZO*fu`L>o9DW!rn=QM&82X%#&*{hAH|N756iL6mF1aoI;MYwGVq*36p1{cU
zeu;U<VS8M*xmQ6q3WkG;8h4^oM}FSvGUBWHXkhAFkoOepYvkQY_irPQSf>Rhhe%4-
zzZnT1O^@Pc?nxZ=n33_WRRV@OMOvn<En5GGXYIK%Q^X8zgEYPdPX|%t2Ak)insA_e
zP+b~#!kReeYc2Z;r4d@Wn1BEr2+pa{RfmJPz6v`tAP0ckS;+Xr{=np99I$`+_lt@O
z3sE-~cxxyM;ojyX>8n?-Kri3Y`Tmml@4x`62^+899ZOgRwh8_GtWmYf)lQrV2`jNE
zMq45%>F=}le#0T2SsBQHgBoA(j-r5(9GDCtbv<J=H8o{@7$z-6HFraszG)UYc$Ju!
z_};#GI7fmDht(D}@3-UG6>SOCO1-za9w&?akpw4uhF_!IKfK9L$yTi4|H;ky72^}9
zw$TUAsv^!0K9)humSxryU+KP4loG~Wv{=z~`lESCR-X6ox)iS=!V`lZjuhN7#aU6?
zpl|-QwU{8b#%HrXvMGJ5%>1dhq)WD9B!R^uZfA$lE30-&@zv1)BdQW5=N0X&j!3%_
z>z?u49f`XgH*b*;oU(x8{85)s?sR6ky^8{a0;R37Z;dZ6p7SVEUBxZbxJOlF!_KUh
z$FmgarJX~=7g=}d$~h~xHe;*IU$7>rCTq73WH>n;A>Ob?l%ABT+*W2W@sYhMYR^gJ
z<2x%-x!~Y%pX#1!x7=lxS9j~esg*u;RBiXpN}F%2TB(|%h>HPL%E`%*5=Vb46jy*G
z1~(>Yst-%Q_lA3H9%MzO+lh)(war%io;CKXc+HHCr+&C9ber35&9CFR0=0K*#Vb8g
z+?4W@Pf_eTA$?>*TsTjvIO5J*|DHLlvrxUUPwdYnfr$_D$B)0jC`eFeG&>$X{x`r#
zWGNSEpB-&ip6#?R@y@;#2R84YKYxy3h!W)*1`z;;M4(SA*d5Dj56ao?{r!P0UO>C?
zrT@hk1iLWcD4`6YVFI&k<^W}7h_c@U)O8FT=k$QGo6QU<USc|7$V8NYHheVC#;177
zrK7&q6}7pFOvg;nQatWdcfi?QJWh*=tTFcmKeoF{WiuGg4n^8<23mPoFPT<vU%T%y
zrYiO61S3TJS~Z<9)pP0(r+F><QI11t8Efh8t?9x_<+HTpCgY#d6t44)*op)ZjGNH@
z?fYBTnveBuGFoZ5)Sp4>b+YVs^EUPXGT{X|^L2!<Z=0RJb-Cjja(IQqmN!6WXuz9H
zN`)rH4(nHNDsz=eSzq&zdl1vra3)zL=l#21cVr(}ulOfLK71SMvp$rwT~~L`8dX}p
zcwBsO+ljw5hfd#YLVF{dSoc1@kuFX+r36Bxqtp2})>%Ir8U{C)W@d&<aLw=aI}T&T
zPP%wU<x|iMJ(bOVQP1mPD<AONEw@AEjN6z$ykNjYpnSM|TdjHV#Q<}Bd}he-8SP$S
zVJ<UMb6@2{1|pU2>3)LpvEnKFZp~38Zl)26AEF!UErIxWq4<r(bIuL;@96?RXlhEk
zA1Z#j3&b51(I52R8BSeau41Dc(D9m=S66p|BfJB@<S7J!XID-rp{Z7#iKINLzs>Ko
zG>kG%2OCA4T4;IE2Pp`K5-GX*lw3xL)yTXAAzFXL-kfp1=_2mEC2ABrFzB6COB+q1
zjuF1-LJ14|!q8#!mE74+Pq+hw-=9XA;>br3KFqbWd;aF>hk<JK_f9NH43caTjP@Od
z@llqXl%aoSWKRk$!)c)s&#NYBItk5@%w=J`QY#`=GHUhaNm?*=m%KzC3*+Nm(v0p*
zalel)cBy|Hby%Nrt>bK(j=y8<E~Njww`22cxGV7B0FJ+@L#Xd_C*|y3)S=%C8*p+z
zr`WbI_VanNb70bojs4M3Q)KeNM&$sN$3Z~A8JjK#<l9MS)wcNEZK@hEnypnT@;2S)
z5>uB12SgL9sxozx5>xj-sJ2x%0wr}W#DFsLAk(jC;QKqrS5`=)iMU?Nt12@LyUUH|
zb1j$E8g$Vtvx`4upvvZ}&i!^PZ#raRUF`|_s4|y%MJd9K!hoGK$QI9yO=3ObZ$3IX
zTegSd)!q><ubG{@*$a)i-19H+tw<-vU4Y5gUHJz9&o6)5|Gy}Y-nA4bh|z5w9Stol
zn8L!%-vYpNNlRDvHQ334Gh$Zj3y*7*Yf~RaZ{MtK8~n*_@P0Lq98+qwr`TMmW;h1C
z`OFX2z=aDO11`sHn)b13C);6&sYqodF(>1diqv&Pm&V_Ym7Dx_-1mGe2RCo`wd|+=
zX)k*i+ZjDD>U3#M$@Dq)GYJP9>#V%3dRDjVQk#Tw)nU!s@50UpTnJwNQ~$lnEB+l1
z!vi}z_r#Tl6?arC<j-98>eMLWu;mU3s$!#F{)r*-?>K&Lcf;pM`;f7E*x7IA0h2sP
zNq)rOUGlp4P5#L!X<IW8pFEg)JG%GhioB5OoU8-&Bcbp0lU)Ji>U1LxStm5u`<tvi
zuHv)D9Tgc>wv=iMr$*l*7m(gaTV!F0WrBMV&HP)NvSk0yRDdmO2@PeR9eN_wr{~n8
zN48EIgC?Cg6WxM-MqslMILnVk<n=j#{*tT0U1A&eHqkq@>B!daJe#t%)Hy%pFU7Bw
z;sgGY;j_f~mRYZlTS|2ZRePz@kJ`_Bcto8?jyhh#&SdnMuz}wCU(SeYkCwh^?HM`W
z-eFPSFb~|dp!Rv-g2_3I1KS7G5^yGA$aFK|v(m+1F1THqy?&BTyD<KUvcdrAs&;>e
zsW`z90LBRO_G^grjm=zBZeuOXE5FrDMz&HM9p@O$jj9Bw>a_>9gKcG-_{pdDU{)z5
zRveR}AAh~T(Pqw_|L`qgd%=;loQ7wKQR5)CjMJ9>0DIWc{Fc%Mw<%eH1BMkRm488=
zD5B8LDt$O|JG}n8q<BBZdNg&4>*X{2%X8}PW7J7p1{3b`@|t&9opesvp3!tdAcp*M
z)wL7l(9P;pyOJ^&tpLA<Ri+2({GEc5I=_<YLy9l_cK4IY$~e0y!%zo^9zTgLe5$+B
z{V3+B-cna>6cB<JgFTYhg30uXfbj*fa)eT_a)^S#PI^`{??o6+!@NFUNTmZ|h0e_p
zVk;sJNjzS3y-&89npS2!5-L5t9Wf(xDdrTLIQV^1v#U=X$Usit{|2spWEHiaYqpML
zJDt`+`U{t+d+~Ws<oziDw?^5Z>i3Ml!0pF$-M?^__~mYpHZ#ahP&iu;ODkVdvG&Hv
z)#=a%!Sg#-G{KdB?v^{UXW!DkD7TIwV}B-ey+m)hLuOoDfgRgSD+$SJIT0zgR;5}|
zAw(T&&iWLc)X~Vguuz&uFI3h9OH4xRw?exQ^8G-lO1k8WNd6Rs;IitAiM-ovJq)tX
zk2v>urqj|giCI0Pm6YZ}?#+&Mc-pUXzfc&69ea9AB;l*q>L2{%{s(@mpRjx@S0;RA
z=+Pop2;-%xIe!p!CT=;m{ID=?scep&Y)9g`)l)G>tgJ9szd?MKms~P1!i$S*3}|>x
zKW<<C%Qc|VBj@q=t@m@du&G4Mk+fjq^Ye6MSqyGs3xK=v==Tw|cc_4)1_1}#PSyUo
z{neF$QYMsycyBvzK!j6kp7b`BAhE6WER}c^K_7L`8<Y=+@#4xmKwU6@GFJf`izkJ4
z8W;}cTzfZmesJBJei&0q;9Hi!7i$;HzV98H<}lP^lqOX}vGRrP`X{q`5_-xM&9R1i
zW0WbX;^Na2w;Yd3Uh~!s#*}%$nf<%5!cg4{*Yfb!eRAIej(!p$qN4dzK3CfZSLl$&
zxwSo~*4=B`|8$ufk*30CL3@6!iR;AA;+C#doB{{$7I8He;j6Kf_foms1W~&>r`sMl
z7jDo-mPV@)j*H(<x!me)<rk$&SB}iuoS49zZ?m-Bk8b5Qap-NYbEhvh6+gh#eU+0&
zi@BsQUwR>$Etk)7LgapU9x&9@joB@8h>$agmx=_uWjrTfNJySPI(v5iN0iE+vQk?A
z4ux5oT)+v%9f`Ki2DIxk-7Csv_Lr`qjjQ=w$FTolrrr6I>x$VwO9<C2zWU6=Z%me&
zDz+Py&rt;RK@*PVkXE&bVg4WPi)JE#hra1DY3uo!oUa3Wxt1pSGKlNvb)IbgF!5_H
zlEri3A^FQ^1?z-myl2#7^{ZXkfhzQ`^QOv>e!GU9L0hA%jq(p~W826wX9+N$H`Ax2
zMbA{Q82E$+;@bIK{1upN`K?_vlw6q3-oqaoQM=uMflyXfW-d_UF6XM~fxdh-4&S}-
zP~6zCwsbFFA}YtDOIC2HMeZzrOD$tXcwZekW7r|!z8hy^g=zE(50T<noGO<#<<C4e
z9Op#LOGn&PS~Q(C$Q!YSE28Q`*>2{+*GF_%5&2H?88@{0V8t1kE-GXdR;ACz{%XQg
zobeX=ja6p1BT^PAxf<W}{_f*`dYBB`_j+A9#-)Su+VU1jVHbiqZ4VFbPZh)Q$;tHY
zcUQva{8aOIe3qtGuS6T^;n3je$afK<*DmxtFIN41ksY|vNz2I0qPd(W?K4+YU^MrP
z;&jG%00YlGYK(Q~ttD5rWbqQP+QYZ-+uB;ZwCJkPI3j;X`rp+qC@2ez^!}FoG|5?c
z``wcJt-a<#*+YwR+h^{j6&XdbgGC)Tk>jbz<-bkC5%^cGEH7>Vaq}4$C#!G*QNw<v
zb@3C`hPs}gT3sf2J?uhhvX*QVfnT*8y}O)G?mHhc_sVaErKM(d3gg=r(7lY&q)YVE
z$cd?ItMz!Oz8<+w{3ksElGkY&DV6iEH<dZ4M^q&$QeK_uk`^wQ5T4@hVs}n!JGTG0
zM$Ou6BST7$ne`piOydsLm#v#@XO<pUYk0anwqq1eni>D?`6iA8C|MpZ@95TIofxb_
z9`{!X>;w}TbQhiLSW@DDkM{R%Y%tAbHVN&ygqT}@6n7njgoYQK$d#fdppXZHg@rjI
zY7`2wHx_*@&?8BD0^(j79UPyoOU8J2Rn{Y;8AHZP5^It}!Lap_03JH}#=ZOb3p@4x
zEtg}dq)AT7sCxRMsAlC6;>`Slc5;uj<!AhXs<_zf9-R&Pc|d?<2aX(j&*jDVNV8gE
z8zgSWdq*;Sye@@_SZ7w%>V+&N^T1z4doB}_$GCCj5{LVBf?#%_y;$hVW&6)w?P8up
z?^DvDZl?MS-a${wBbK6hOZfqXXkMR6Ro*!9l#%t}tDwqT!Llu??HYG091jvcs0%{j
zm@q2jtIH<)fZURR9Nk%`*K=YEobI**h-pI8PhRV<z1p1TCr2<MOHpj4z`@YHS|360
z0;keabQ3O~GQ49iD&E~;pfv3pws~i{L!xp`k@!)!n%->L=me|foLz>IQ-E4{_O5Hv
zDdT8g2`qLxz!?$W6NhFYRvG79cw62JmWE@~hZ;g!<ji))6dLL$N7%eyq3rmJtP9-E
zI#=YiWMO9-xV6ViJ23B)K|!Cl>bdY}Y0~J*rPY#sp__AXTyv4ZJ0ViluF#*>{#{^I
z5&q@L13i9AoA-tmd{;jtM=Y((e$-W8$B@siB!KscQYQ+jh&4fu(xHCe^CpRi_Qa_#
zudCPhCI<;0$_>G)Wa$vAbElhK8*BuGt3dwlar+wQQ`goO0vrr*qWR$^i#3#!+FMz6
z|C)m~`sB%T<`S<lrQ^a~+aRucXr(_xJPY3A`B@tt92(d(JRMXGAmd^Vro49Th|S3J
zYXW&Vh!Yk%s7`W}C0{#?Qgj!w$+Gv<L|L4sEuK&HpdrUAqI3K2t%*zIF|$6UW&O&2
zu(6O-e?7w{E?p2yd?GzNJZ2UzaeK9SAtQPl<>5;FE=7*CFYNv0x{zut7uG+O3#JW<
zzW|AVTh_7rhc9ra&seD3E~;$_qs1z3;I9<1#+gh9uWvHBNScMY<cR@;@tWcMjC0}U
za_8<luH8w7#@Wog(cEoX?1k@|JGBBXV-COr^U%*dT(e2Jc{9;B6}vfU7KKh%v0(B;
z;9u9nz}T56i#l~KuQ@*M`+;_03z0f3pL}J6aLKI9Hk5AYmr;D&&p2Uu3q~je2y1MQ
zVpRNWjC_+Uf`v)g{|=<4RpTNI8jlBJH?^DSrnVpPLw1ANyS!;6OiHQ(xGM|p8V|jc
zmHd|yS(W9&nYDLUiVC<Hq-CF^F6JWsSxODlP|Yod-|1}yxg-V_F*mNiYPP1d2n~EP
z_U}&2BG6C8R|!#^3gkr#0kpG)KAp;)Dh~=Z858h^-AZa^8Wm=)iHi-Bk63<`%eKSx
z^+Qpgz-5i|Nxs&e;sfi=v^*mcuPX1fY(72-V-{NpH}uxOAz?JRtW3_jUyMUCND;>$
zl3(k-uUS+z-XKOD8mzBEhK$K7tRg1V{2=V6(W(IaK`5pESwxdJ^z6*(0j;6{n8h$M
zGS-1HMtnRO%!1L(S$48C-it*ZPiQH!FgMmUzC~poYyGj9;^KP-%gJR=a|O?>s2*c+
z(=bOxeAIh(Kf!h$KQzdR8{bvm5#Ftvn0FcrJA3o%90wD`o{cqTp&eNd63y{lXNbe~
z;Sm{m^{yRXEy6PO_eYBC6z~}aFj<Q&8=`e7R#EU*!y{8s?`V6JfPid3co*#Tt}1eE
z<xAls!i3|5vz>A~wrc9!%Qz3vFCOt6r7fI+MP@pFAqsuH>3#PP^;;1Ul*Aqybm*E;
zq!}1cfx5!O(=*>;-w<S2B7G?m$+rq|l@GSLxW0evo*O#ZIW_{N9UOYe(;=m5{?>^{
zjz=EykN?XK<g++MrQ>NBZmzb3XWT}aN8GfH^_oczB;PYzZ;fq_GW$g*H<6Erk7;Q&
z*XSlt&1bce)-Bc5UB5n-V?@TJ_{cu8D6nWuz;!F?Jz>p471N)t&X||=Wu-avqzUie
zsc?;!=DJQ9XD=d!q+ou?$_Nqgt6@v6-@?DM1R%d*bSj?eta!0-8wJmw%4@!V3EAT-
z&zt0Yd?ei5+$f%}mKHgjCxA&h4s;>@O9+tIpTPFkTOqhrvioUiMG4BZS5eP_q{M7-
zdU8++wLI0ToqQ7$WgV{iTK1k84j{3gzo$;IeUQ8;%WcUTCj0e^7G2}6odg$w9o{=$
zUgaqEz9k#T+EPf=>Yq)Ymc=?g!pFm2^Y18&i0lwfsIcE|xOR_v{?($=qX+~~UzZm+
zSq}uLptjE%5H;L@x6w4;z9KcvW-|I30K{mZhtY<*8#-bP2$UI}`*kB1{fE<9-v)`A
zdlci`=w~F7rLAy`Ilfg_<EU}_HY@4aZaC3C&=cZdV-80pyTF*8dB?PE(PJz{Ha+6e
zoI3SU&oeT%8b+WMCu81+<96*YXKovXXULu5ItL`2hE0_mW1q3P*0rFwD_Sx8S%$78
zY%|4YC8Hnj++}N0@BPGsy2$mwh<T6F|05jsmR^F_FDVxv0EAW525!+RWGc#J<Y5`o
z;Gd(s!q0xH|2t}V<ihJGo2I=Mf%EUErLheUj#@6Zc0Wt=8}m9mBsQTFx_S&=SV<*&
ziq8QsF!Hhv#dZdti&4G_Q;)%Gl$o2HU-x-aU$hnZ3u$k^C}|S!cC*QwzDND~Qt{;-
zjOk@Bj6uA6_wQTm%!wkd-6Ys*VTA8<aej)P3&cZZUx_0X8FgImp`dNkF(Nv;?c4{3
zo|Ug(3R)A!#ufvh6RzI<xF4dX>WndC#s5l$bNea4mOh>3He8S>+gg)Eip0N`X}ZI}
zkoL-;2d4>)-JGJB1i=RON>&VJq3s`}2y^H5m=dRK3a!5Vp1r@S6x`d7stw$^&q_hg
z_%^xRWpb!wN6K)MSWHZef`%qTUK@|3&}N&y(5CPqQ`vtTN8f+eGdMU?ru7+hrIwDi
zS0f0QXJ;wfdR8dD%C`D9+~hII?7<~<5TR#bd&rIVj`n85Ml9?6H>*Xr^iW(%{P|w(
z^VHi;bc52&2Sx1l24&k;vc9{lmb`G45-e~l?(n??Gv~${Vj?1HV!O*cVA+DKnS}7&
ze=wJ2Wn~D(GCm&pPY$@LNiAJ%DVIlx$AU>RE$wkmL1aA1H26BLU2S>-t_*(|knx$~
zJY9rI=+_x~i+mq3K)7IE4S1};GyYrg_t-&<UoA3`mvnElC2o;|>b=+Ghcsh;M_hgt
z><6}M9Srzg6b$$^QiKZGbMivh&?pCw2o=c`26LJ#1QUdL;vHUV(7pWKQPnJ_t{&SE
z2!zGwhc4`K3uYDKPh+u2j9{qpeg!tN)B@ek?huC6YFzo9PY<q6!70`Ewa_9kn?=o3
zS=E8+7Zv0M(QUvp4M3p3a9;g>W;#*+70?L(z>OGi7RABEC2x?a`1!prOmFg{_<=r~
zR+g6LwziavjJQ@-dC~7*1^pY>!GnJt5owTO<{@q86=zoe)TQ`V^wBY!>Wuza?)<_+
zFU;!+%X44~epp*y7k&HoPk%q00v-(K-P$(uDwVR)cvZo_Wql|Lu+O--?^RXKp*ak|
zO#sBH^7dw8Vj^nDWbMKV%s6tsS6|eRy^fBKW{<d@xkUy*l<fkO+J^3u>AU=6o)TwH
zkLcll3^xez{^^5wk-n22;7B+#dB-AdrP|ZhHGbuA*#LjXOaJq;QvOFEPf=YiJ^jur
zaZLu6=Kp+r;t8yExB}BHJ^-Yppr9eP+l<J{%2Gsv?ET+`L;W5P-PU~!pgjY*0CDE(
zct}k0rs(qa8E<qxRWwor(*tn><BHHz0Yu>AmLZxzY{JJ+dwsv`Jr<e4r%#~3_aJ+E
z$H9KiM-?rZiaJbHfZ?r7zQ=<f7=nbq)?8d%=h$aW^D9Q8))r3fdAs?H^|~TCnd2s6
z>N)khrk4IDarNE71^bC>h~C#5P2f2$A}Kj&uR?BROf+`lKda(uVZ6#7V0PY^mo>>z
z-7&Z_tMB){^<to87R}gI{Oq0}1=ylK1bsie6Bs6-g+aXdA{Veh7ZDLbAiyq$h}ZET
z(^s3Ri9pAX5%t@E7|)e<Ot{fr0Rh)=wcvOYHHL=}$dcCqtpEY90}CP^;>!4^#{YZ;
zquvMj5|N=C4dKI$35)X+8$@WygY*GI9{U{(#2q|5cc7-!c6aCCh_(LD*T`R*qlaMu
zb`~{|;Iz~F435e`bMOhg90MaFyZ~eWXJDWx+qdO^zhcuI{lR~~NO+|MMm*Q$iJ#Nb
zzJB}mMq*M@g7ovL*;#kMFzWzi0vs$eR%aNA;ej`wYr&;eExqG<c{&L;Y-lg<kYQed
zVHCg7CJ;=%0N`!m$G=xLHa5UZR~U$+c?Nxy=G>MOkifnIr#a7?55IsX=O+gTLHckC
z9v-5csslpE6%=RLII0g&RO};g*zExcFnCbjMMFa~x3G9AAb<eLl%MO_Ea|7Msn2yL
z=ElVBGmXB<llm|3+)SAt9?by&kYS_D<m%D(tV2oNw#`j&T~o~0#R5aYJNNEAQFE=Z
z+YEpZHMh99+R?oIVIg0r3Q3}r#AhUxDf7+hUP`~(nm=py5GA>MMz%(cBv?$6BQV@}
zcz8tU!^K>i8yb2*GP+V8k?8|71EP%SCvPPsvl(4M-*FWKL&W~xjjKQ^7juPM79GoD
zuYHQH#bwZR1pz@YFf}!GFu&UQRMx^Guj`CR<8=RE%uK;ID?B`WFu%4|-~_0))(eZn
zTw(3u48ib_$~)~(5094Y?O9(DfXxSnSN5t=_5(4;oYeu-bFIPm?%sXe2>ks>CuirP
z>iWg*xSX)>v+cB6231IPCFQsx_OQWeqOVjo_>Q{E`=fFJHnv2nZ{A#eBP@)ExN+-N
zGV0LG%L`?MGg2UYA_%v+BtWb!oeK=#0RJTer(*_9eh&*B4^0hw;y=samqP|iWdakY
z%c*fLj~^%Y_R1<(*wTTD=?;RB-^GcJ2&?ZZqOqx|x7=oR2~5g*Et6$M!H*||o)S{1
zw6O45qe;Nf3c<HXD$wult^amAc^;fZ3T;;9L1XtAagT^d9DcO2J!f&in`BuT(8pmR
zY*zYPHJ|>_F}iHHVe$I4N2@*R0z{itliS(ZT@gT?;eyQD6W#|dF1UzF!`(pfvcVd>
zaL2+aGMP4QXpC8GrQo0iI!j3}k~g$-Xv@^2>+`w-+{X$Hg7*^o2V^UOX>4!~?wzag
z9^!F6K0b!+FfHp>-UFwK-w{75DjbX665#$#eB+CWfa8e2P<m#**VX$1ym3NRe%m$0
z<qCUn`^>T-(r5-k1S3^3x9wVwa&w*yEr7ep(c<geufMaj%&&V();xHjBul<<G+F~4
za>LO=DztbQC=<D*&@^?#B&H;rQ=%W%uTLD9@Sj&}Sb^rdSeyO^AO+|sJUVd<mrZ)H
zOHceuFF!vFgs!e`zu`!PmZYSl-r{|ow1*lJ5F9)N6Wrb=|LKb1?nK^Z)_^5>E1Q(l
z^4A_8GxIwm;^v_|@J5nxa9tgwgBPvRoFGTd2)cL-3=GYI^!KbOi^GFvuu4muPi;Zl
zQa3R{3@Vo&t$vpbSk2)|Z9xuIyam7bR=sWxOcQ-hv%#15ew1qnAr7nh{6GaE0O8Ok
z1s4Mi))*6F%9o+~cTqm$SefPg4N$wG3Am2mzj3wPcKwFitZ5Ev6FsC3ee2M@ZQ}&<
zAAv}Aqd{?pZn$<y!rz79*asY7y`friH{dMZf7Cq0=;bdBf^N*4H(9tyo5LA*movJ#
zsGV&%gtgvId_DgPucQ^6CF12X&=A0x{TnT*Y6lm<VOQ?!Wjk1RJg;J>+^9J}i0*7}
z5Vt#lBFh;N?|ZScs}bNvfQq(&SB8mYoT~^HGb9lxcG5#UbyhjRK-~*2ZM;H`Isu!p
zqW>~1(|O1WKW&sP#zU;!*a%3Gh}H((uyRd%6oj&z!a_O1bClyFN*^@W5(vPaZ>sdd
zV4-pchQ;8~kZW(>{?OrcvQiMx5W)46;ziNM45oOMdUX3px{8j&M46Sa!(^`3tEy#|
zA^6Mni;D|3I{X5<ceCo!(r$@~kDuSW5gqRT@EJcpDF{sws1Y_;qz`(z0&;YK-}DOZ
zTG4zAw_Ou_f(-1>KES;;KRo~lBqKTmXh77s%h+=i2Y@yi10FYb7#a5Q^@Y^{A9+@b
zk|=Z<Y7XLO%w>9)rPKN(C{twQ<*&u>6vx4{oLE{)ke!{qwY60Xk>7l&hnxt+@i389
zf3m-tTuG$S)S>g6ZxvHKt$u{tYK1<awtuy#>=TAO9ThEY2-5M>rzMHhGD+s!R^mi<
z%_;I3j4;*?7F_`S*MW>oc@>`Z<d^Q(FtM;eBbi#538m)IR{ib2r4~9_h45Zpz_Z8W
zu!jjl?H@-A)Be2|a`0q<f!iYhjcw1h;_-ai5{L>&fV+lpgK#Py$@GSX6v%nJPDj!X
zaZyn>z|90|qDN5GeLC7AN69haC!!$$ERhREEEO*-vAzMhI2(+V{^_+CP6()a8~dZG
z<8H8DJ5-)-RG<dV5SoC`{Ro>Kak!V#47~eN$3uDuB<7n)URsT6B7AyP0b^rY5O`<|
zHR@1~=ILBV4Gqpl>c^rcp;pT|I@%l#H~e9LDl{3BUs1BNv=mfTC4x-F6R<Og(3;Mg
z%L_-f2ceN7KV@Gz#f61=!pp2{Y`lu-`7J}SHeQAYjRl0;S8RO9`w}JF+7z9oNmmN?
zlW`PCSLutKs}`<hD$mT%KdoY*qJoFQDn^fFA%bHg!02ReSrH;R0`=$<FlxUpVu3Jr
zpNPoMpf6<_GNwBiXxI;Ee^A>Yng@~Ra9JaG?3sT4{E6~;5BB_JWlS6=PFcS*-;O57
z=H_%TqK{gB=Y2er{)DWsaS0Z&Fh$;kMgTfuZed}D|MFO>2(>f}^~9YA|Mts$D^LjQ
zS0f5dSS=bEEBu7r@mxzwtM?Q}e^&pqI8vG>#>S!-4RX<e<kA3od;|h^k$Tt$ZBk~B
zxT=8}ZN1!k6|uG5Oe)sSS$tpu-iu)7Sr6RNp8OADP|O)rH5}U@<W!pSvPh%Y&FFcn
z=xJ!gl)JWzT%)WMii}5O&B|c{OmwrLpa9L>=^^viynQ9%<QyFR9NM%B4kqUzBP$DZ
zc{+oE^!vK`ZGBnC7@_G6Hn#{_rm)6W(K?^a5#Sv{S`!`a{g6$k=_aj8@l8ao^|GvZ
z9G{w*GGvrw7y2vT`7eHiSs1TJ%cfx<GC^#iuC6|yKJ&T=@#_P;HH_N4tWAg<-IJ3V
zClf%yGvj(3g!EnJsP=o<9CDIL(f9tpuGX+dDOyGtSjxnMehlFTfpSIs)oTvhH3GLb
zN72YxqrZt?S@PnmOJQ-(f@lE2v0-BZ_qq4Q5QIi;*x0Z2Svjp<&tn(aWy1?FL8ZH-
z5F<Rn%n>1=tNW|)=j<v$!>-G6@6#+#YKd@qHFzD23r9@y%<onU0>l-F14i)SniSw>
zu%gf`h$om=P(E1$gPRi-;fOm3E|;@U#34T-VITd1kVfr&)}U3QK+H`~zkHjVKYH?1
zEbI=#($X@KMj?ARB{x$DR!DHQE95`y5Y~rWVA}SFau!>}0_1b>&C%i`ne`2`W{0`5
z=jL>mPcyNb2dfA6s@`V|^aIc5UzS9#QJq;7J8N`_%9NJ5%OP4AuD++f-`LP_2Vppz
zOP(f2Z9v={KJq1R-@#Ge)Oir8sQk_9HS2)dT3|BVV2-YlwCj+jQgLx9mlOE<%fWOa
zBu2tWBof2z1ZE4GpMEHZfa10>S;J68$ZGf+@e!`2ayvFQcG1rK;^I4q?U)D%B{GnQ
zKtd80hRTLoU|bl{1Mg#XCYJ!W^C#!Ka?MQDvff|t7@Q`{QKy0P2KWyPLHOt^Z-FAz
zUH09(*1o=A#E+U9{`tANkMockW=BzfCQ>;~fqxIB=|FV_yf~CI7jSh0XEJDn;GunC
zJ|%EPpt`!cP`{gmnudlVv2Ah@!h|RzvfL&^o-cr*;F{Iy{y|63NoG}EA<m)~Q65@*
z?`jbz(c)S^9uO{~SPULt?X9nOM{UbBI@;Pxkh<8YiKn;^Gr#Mjp`uDtMs{?F-@wHD
z(fi5XKG4_KcMnD}tCqo{y~tJCFTbE5nFD4-ZeU?C9w`?aD;1fTJFN%HruCngmY0{y
zYHG&IP2*|=1_oM#Bq?TWYM6^s=imE!zh6NU-cI%6#g945vca9{`fu;-?aR7QU#=k|
zgIfiRJ7tT5-Q7N)ZJ^cKEX@CRx+FaKyL%MRsDGNsKZ#9K$)Sqv{kf}cQVgiFv0RSl
z@lnw?&S?h=hCNkPRZ%uFPbew1XBxcCZEUhuwV7xfVgKF&ID>X;&{I?>2ZAUTkk??6
z_!?w15D-0BTKO~742zUk&taFlnZiI#onGuWYZM1#WzZ4g1ClEt|JfEgEao54(b&(P
zJ!3H)Cs-dXdgbKAgLK-JD6Obi9lzFGd@%!M%8ws+z!Cl$j3hQftTw;AaOQD3x&woT
zkj}k^h%e+vK;B80jtyIsy@SIHY!1WuAFzwfCIf&cl9-!&2TZnr@UO;bG4r~iv2nQr
zQV8*AR>*K02yHm@90yC)qu-MCGFv_V-_lOU)~$l_f9k%b2({U3wEt6|GU^SLqWS(S
zRsa1q!fINp{a>Xk>hHGxk8=P2f2sJl5~KqN)TXjZkm;+5{oGEbHjdkk_~id8$(8cw
zw%`8u#|}J#{T+G?t51Vlr`Ff~x3<jTox>RaWYcH#>mZ$#A8P#I_YiVW0-cVVHWNB>
zL#K9fPDr9|XrDlB8b+_CJoJXKy`7=v=F2<gJ9Dk&^fz?;&f}nn`U3X@1ahzLU_jw{
z9d%dWf!#V;%|Thaf&b2R+~p2ZLP8&KEg@rJDGU?qBFOMT{U97sh3+UaOz0qBVq?FG
z<8#i1G8dF}LpCxJ#Zc0KA`dl!ZliWD16AW=KnW{=fCSUOYpBxR3iFGb%lXMjuC;5L
z*<uwR%2e^c)7(mML?|lOFmlmroW2C5=Qri7Vq2Mq&_|d8?qlyNI7gur2#{KTfq_Ia
zCZ@ag_Vy7kw5~v1omhZN!^(O;oIyj#(9n=LB$hGd-$lWZT2sP?9IBvz85ZeQBff^_
z-qK$$U*CEt!dA<@C`Za|X!wq%(A{rQ1@u1xvr!R5Efl+3Q0ozfE@tFZ|0yyWD%=^1
zVqA<F$S$*5oPlB~g42o;U|dEfHG^jzQ1;-W2;bn=0^`{@tN3AzO%bAyCEOt<_D_44
zIs?Tz@bK;+G-2&3R(`S|4i8||!(`WFY$A%)>sE$5A7Tfi!`?@P0K`s8i72_|r-gjN
zE4QF=O#vAV0<pZjEHsbX_tnD#WrCHbG!k)M?tIE-yD^TXprGJKz?dk1XtLhD25wJ?
zS}ikoUBA4Ow)%Q>l$D3L_)Uc7_DmzHc_2^ts_!-`YXmJw9f)VatnHSot1B@7V3-t)
zHIFH)A=Ron9sK!QC0SMrvLY{U@6Un>0$_2B;?$l2%2D<tDCjP#2?7-cq^8fVT)6_M
zb26LQB`c^XDlbk}Kf-=9XUTa59sO^CzSOVO)K|%}58v}W{sSYXe-mC^2f1#2dpkB%
zb4=+vdXRiCjh8W3R#u{VE;z(oQ(&V!=-8gZNK2;zUQDoxi%loe+5Hnrhve4~@tK)7
zQG`f%YtzfiSp59_m3zHnsQcz`57F3nq(DCjHWd&ieFiV5C^i!xnIxfU7-sE@mfAgn
z9WGD1@dnT3+3wc<{#P<gN}GdfNMs?=J3l?Vjv(T+#DM=0R#YT_`}?=pL<QwG*7RNW
zSrdVk0OZyfZa2^U_SZ&WgUZODx&PpSvdtyLN(?tJ2Fff~dz=UzQCtMHM~Y91SKA<8
z!$h>|GL_r!rqmTeS7vT`S@hq=DNpw;p>&{mccZ0Y^T;TtO8(ht$%1}yVPVMG`8gKC
zdAF0jn3_q)FYmHD!XYsQUX$1|yBRXGs7rd{r4>Iy1YDO?>BBD`V0@O(QO~l9)2^DW
zIz%R^S2>8<$ZtD5Hr<3~MIt0MKHlEssPt0^svg;>sVU92uCBqd??40m7}_{A6b=jZ
z*9TsQz4$L*uDH)f0~xxpxfu^(2`yVQGqWt6Sbo>)t~0};D9_uZ*+s5!!Gl_LG2E`*
zBGk2Y9_`J4^ZNB2#9Jw;p^Do&D}Kd3F{S66RtwUw){|#<VZxY;@0HD9H{Yq>y&GRc
z1{)jSWH>?L1gSoo`=T8rt1y%NY<;r3`#Yis9+th0l5}87zT^sn%^Me$C8gWaLJt1I
z&=FO3Scx>ri9=AMPUf`R_=&WJmIRB@Ag$q8F`d1mW3VcHYD<d<A*bb&bBJSHy9DLG
zAvNiP=&=ko?7!ep=m*q!t@D<K<E4y1PV0r$Vq?n8%d58fO?5~tO>Sl45;nRPXf7do
z;QFN>e)2}4WQ7sGfl(pP{mk<Wihwy7p+<ZJQTnw$sF`HAkf2Fj7PngIry}GqCxgCD
zAS?}Nj7fhd;r$5Nx}1zmg56koS2WdPOv~AkPro6n$w>ZJF55K`@YDig9~B#07@P61
zfML<-@3x;sv%xVjbi}KWSKLa8fr0}q9w>^k83UA??F4Wi;OGqt0X-`zeZtOb%|1Ri
zl*=ri^6qvpqZSu9$=xF*m4c${M=xZ+eJ~^Z8#t_}+!IRZy{1QIJy6vqSe*`DbOey_
zMj?8@%+!wu8+N^p4~FRST3QMHx$pMvMtf}R&rkMQKD6CCf%)-eNJ?JI+23k!YfA)M
zxp0h^WU$%C>`QNREv&AJL94RR_0k2EcNHm1@LwEJumTPgAq|`Q{^n#Hq*j7(!bJf<
zWystDNckn<Wx^5ye+rXRa8M2Gs)KUnIiSqFz$?q=Bg7rq7)EmPmy4XZ?Td?x!hC#u
zs9qU06&3m8L|CG|5SOWK_Ef7Jij*%v4Iy^wx)@`(1TBfza!TL9$vcp+pVpw3sl<5D
zur~kwTEqJ3(Gff^sfC3s4rfP<xVRILYJx-B^B5I1n+uf1oT{1{7Q!C{F<|)nWZ*m0
zLI!_4uw;|^L0a?6?h<YkbU6WsBDToR&K?ee$GzB+bSEb#OvKe|*JOdMw?1C>jz(S^
zJw`C$MY?+HEk!@ZZ@S`*z*2oGOQ^=*^?Kn@ayXIQ6xxfZ4(5642&B1CBNnQ&n~uLI
zy+k285k0k^(f4EV;UYqwh~WmU<xE>iLnh5y#1#SP$gxLAt}R2KxS(r4Y>#q<%Pi%m
z-Q#u#6&h;l=Ww}bvh>V!wY9bVZz&f0d{^{VEzt8vvM4Dj$$njG@W!LutXHf#+wryL
z(f(SIKDty^Jg6V$_3`vzz4rq0oRP4!TZ*q=OY!c9bWK`{2~9w!Xbi(mD1b=GB<2$_
zx&XAO(uyzO8}&Ls2lC|na55u#q|&~iusSnSTv=UK_Obt>&OWQn4%W&abVuM$PvP
zl<h+&0($d(BY$^~wsj0Hp}jOvb_oxj*cf{WTKms@T%{be_6K<x<>%=XSG=Jw8_JST
z1&QV;lpSMu2nVRG_DLpxi3VdLATmATsfO>cJRu|jMH{6_Gst0}Wvx!v2?gf!<TQf@
zZrp!6YY5~0U=m&j5q}KmLJth8^m1!uAUPh-nttdjK|SMl5iqmcTb;pWwcuyH0pCln
z$VxW2oBvXEbW=gYIhnZ=^f0&7bLrM43Y+LW!W!6FS>ID%LQ<OCJr7kU*s8ygbq}j%
z8fD_szC8>(?_LV-qe*r9`TN1eCh3qg+(j7n{|-d56mOhA$?wvax87fQPZd)wqYTel
zX8q4=nXuPEaW;@1I%p|InA@-_;`@LuJqs^KN3GoYZ)8bgqTmWy-w>uXv?`Z5ScNrR
z;XtEz2a3j}373x_f6G1ltHAdvhIxkWi&^Ei=b&Zh`Kn<hc{-6d9G~gQpoejOpvYH8
z52MpgEjt(TCtM~D-Glr`<k%Hz1A}8o!GGa&L2J9JIXp5_RNzCi$v_2u!#M~%l+9dp
zh&apzsAu7cvPt=CJXa1KG5@hS(eZ~m`(2;}eWBMu@RP^>E@EpXBj+(0S-f(&9n$_f
znB;we+Z6~c8aRpn)7pxK=z)e6Y7Yf}x4S@;$_0n_q(go<>4q}!E&wIna&j0D0(UT8
z3kl7DSfRlK3ol+aZR@Wvsgg_X`@Pkn+wkx|r=x3xGX(3D5r7mU;vwFmdR~KEDlvG7
zrM}eL5E9W4D#gZsBZXA6rJrv>nEROJ2oHKta4;Ie+uIx3edvTN9}$SHy}br#p5$51
zzeUs{s~iI(BMoGa{XUpFiM@UMOB4=3iM%1X6p0gq%@5iK*I^Ei{it7Dr70EQh6p#H
z*u7sofe?xdkBvJVeRe*hxC9C-0s&P|2BQfuTQBx=T(!U`8V+whlVN_GtmcLODJJ3w
z4m!-iroriWJ{$#A1OgL$I2^1|@tUjzgR~uz*&-8_lgNR+{&!N~>W)C5G?%j$P>N)z
z=`Q@5fd@H)&zURMaf1__<55@l3mIIwv+m2Y+lVPJnRnQ2ZfaUl-I$y6fRh!30K7z-
z6f7*PK%~(iX#<xuoZW4K9CUTU1$L&w-ql`6#;R7KmP5pkHXKHsnjtI8x+>v%qZ+$=
zreg#PA)Qgi;1EBfyHZ{WWhk8EUW+HLfkg2d0=mrb2w<~(>=9U81<C$3u;9k0U|^71
z<b(67Osldydeu?{0uu)(jMC!&^mOInRHkkG6^WUIn5@lFMC1r1TSKxmmI~pMtwb~q
z8B~*9Gqy8`K1&l3S&}uwA#&0XDvmXxQsGNclZu2mzTeZgbY1=Ddf)dv@AKaGZ@HiQ
zuAKV(JaUco;foS)KE)F6t#kAzu4HIP2t<;-i`@)l$toZxpWq1Yf;Ty`ipBd2JaqPC
zC|(^EHQt^q6K0#Bd{-%rDIv)SM1y|t)^#r`q0nRsIg^;;<ozZHolsNK()cJcnH!0u
zX0Q~JK_^zAFLKTlv+WA)1Oe81>yy#85}Zbyx&f0Xzr$<);#erm3vqFAikd)g!X4AN
z_lwcdyrAszaWR18J(0YFiBdcEm`G~*q|HVfID-hRqvX&%rmY5Fs}WS968bb+Ujg@0
zNAdFYw)KD$@K_J)s5s>AJiK_R+`{*UcycnR!Lo>q=&92oQ$aZSX<};X4vSIemv^!V
zRti5b)f5!?(7J+BkrABz@bP2ctpmQfJr~Vfg!h!nParz+Q9FHydX6r%9+1{x*S{=%
zEa*AK<s3gSTy}p$Rln!!C4igB>Jll#s`EJJO*B|Gd<GZggXZQaO$FV1Gt#8db;VGa
znt$?~t9bgR!<JovEa<NO9@&b7{p#-K&^$P_7w#>wqfi_4BA3dC_45)6*#Q|MGU~+S
z*qUxpemYK=W`@1~ufSkd@8((qB}yHm7D4S`?Ytei^$*4fj<%+xrpgzVKFDM<Gc=WM
z1LyNv>)NVlYTCX!!)|Pxoilr^XD}vEhA~xy-#NWOJdCbv;!1xLvx*k>-iXzxlKzcl
zhN=<NvrQK}dePmO(2noE`_63oNIwuU4+Ti0Rm3_yeQnE?;gY-KqF>iHe5;DeUW_@V
za)H^*Ufzco>g>;sfolim$BW^oW^ik;+R+fnMseezrpP9Gf~&lTG@q5Zcj@wukxt#n
zW3MpZjBb>E$ZTNVr>}t7<u}PVrI|4lRajZUzhrNCp2^hk$?DQla!=IwqPT8Bar0Al
zs02<^HoqONM(#cbta%gy*}zA;zq8e2Z$D#}!03&?d)EYVmqiCa-{`~yzmW*(eucG^
zew$Qnf=z@u*@A_(%#HeIULd_*9AxI3LQz*5;VS<5Qdbn9N}ROoJ&>&zLwBw{3S*^D
z?}I}bVl6sES2(#b<`kWppU(fDv|%jeO!(}^EC1QOMk0Gm=FxDi(ETZvwAzcaio$_U
z%hKL`J0YbIF%}7g->W+(2?7@;k<u&**8^qkYFK+!>0k~Owe!~pBF>*9oIYMEe*i=5
z&XM+Z$PEVQ?`F4{yaJQ!gk28yrYs1~`<a;*Oeif1;yXRCF7NT?^Ox%h_c?XUJ4-`8
zhcg_xKbwWN1GQ5TNn6}jgj|zpxQKIWZ%5C<Hab0BPep5=1@lu~S(z%LNlSl!e{IY|
zl7(zXKB48;K-K}@JDO=`V#(O412VtLk&oD;{d_B=I_M`Dr?rI>Q+Pj<EtdH<Py2uf
z-&!e6zNk6BXvEfea95rsEep%k@-B1xW4w2OW8;uaDGJdf0NoGDKgFK!maKjKsaoOo
zF=NL5mwno6;>ySKt+y7;X4Z)U>WdP2p(R#G1J<n10{6@FmCbaz5W>sQtzWhy!^Qw!
z5`PJqNQ0qpSx4bnPuNk`{l4z99~)N>rad`CP?p2t!%~n`_;Lf?iXORza*D%_jawu0
z&pzWuF3ks&ruEukEq6yf;7>ufy(z1Fe8!*_)Z#uB=Y|!$mN7WYdi{u1FJLGn+ka-L
zei%FuE))j#P$a*Qgb~n3Cd(yqbc4*KC)INNUsMK{qN~c!h&E3oY=r}6)1h4Me9%+^
zzBf7J{#HPheD(vDWMjpy+xX4qX7qPH<foQf!WJ8}WocJ9*PZMu{?^8Cwv8!d2P;OO
zXarQcSQadN`K?=jY~WaZT~c2DwJBzifXKYXz9+VA-yT<89mJ}yH#t3$CE&Q>NY#=S
zC$hjl-0$wSDU){)iu=Mma6<jzVWa2O-oo($p!$7IYFsw-+tiLtZCx2+m6^>?yM67)
zJ`9ajquQhMR5H!54WIIsW$)0g%en(*#c#&P$9X9fhLv<(*bUBe2RN?G!Ql{*1Z=&T
zw}XwfeTU=*bk~cCmEVr6x^UvJUsvn(tGYIb<5FMupn<{!bPzq6czAkV)z=NI0^nx*
zKB+B#9LRE_Yc<sR3|M5gix>NLu9x`@slj=?W_4`|gBj$EUog4RCUUfSwTLK@SBv(`
z<kxlp_E&{4xJwH^2L?97a41=xe^T;Gvot$E^YF`q)%6Ekc%nck^HE1ZaiwFnaI^mS
z0|YItxHiNW!t;9^;ao*&YH9)l6_}lCTK?N#&)<gE_j%Td&fq$Q+haYi(NWQ*DZ<q|
z6DBB|eSsx<r9{XPv8n~2wx_~XKRbUe>Op;*r{*PxX_|HLHcxC=&eUJxN=%7Y^4A#?
z5nfu5EiA-}@Y5cgi8-FA;RUy$tu;Y{fT9|pzmV4*=q#XtcF*~B@&?0m__!o@pS^KP
z-vwJ2m^==+Nv4rAlJRt8q%gL0<kl}9Pj3eF&GMoc(-E_~6%XdD&HcDZA;Un(`VqHP
zS(S|71)H_3yY-#8IC^!hcC0yZp*JaJP;u7~vZtU&TVk)ulM?$<b>PDMiP0J@8jY4n
zGyGmg`(&E5IbaDBf%E$9FUgTh#@mwR1b(!%{LMwJ9Y7Qhx`seih7%LE8A8Fvvy+7v
z3x3*Mw%=EL*X;0mf0{3PEr8u6Jys*cV5%HZV$-HgJbR8$Cr`*~*G^^MF!R4$SEo(M
z85%w>4xf_WrGpeEL45L^>n)EMoA}KQ#n-vOj3AFbKOMPJ%5sr#{;Vh+^o-8*hv-xo
z9?$l&$LVW}=|+2&D2>Bkh9<^kj#aBDQsH_1TxAKSUCODeTYI-cT<t7dpu3$NT}`DQ
zbbEN2QKoij=F&jgrAvY=Cn0Zd?*y792fO`jrm)_JnVH`b623)Ak_Kvvka+p{`ANu;
zl9E!~Z}=WK(R`*X0u@ihUk8we#4_von6R%}y)tR`OqV`6&L8z)(FOz+!qO-dHuF@)
zyv9aZytRutPyPJRw!32I-r!GD13+rAFkSFx8j;*E^xu>-FnFf;rNSJHwQ%u09DWf=
zNdf3T^9u{^QxC68?(kac77l?&IjabG>IIaMcF=gp)I?K+5#ShdbsjP_hEA;bEFAOj
zAWa)L$;na3E=cow$bq7`APk4-xHym3J$bv>t@g6#j&l|&sjnd^C}^S+2>NEka>Jl!
z-+y0}PW0SNw_)9hz>er>J`9e-WNl$!I!a|<#OpVL*E!#3A^mLV-aWH6swp-jE;jZm
zD$GJ=h8nbc|Cl*x9)>RWg+aCOZ*kK7kdLQ|s_I<~j7|CHKQ{~2SC;G=lV4}l-QC>|
z^Vi13B@v|KD*W@1nY6UD*BhnZfmjXx&4aRnSP069ss-OzyY6_kqjVCz7E)@FDtv9t
z;2aDv50-H8m^L;x=OC2jVqZ!cM(kcEs}n_bDRf;gzffqh_wL;z-Z;J^8#lM}hzmr+
zYk`o=2>Usqyc`S(`S&imf`~w_$M+83DG#WH*dn)=K3Zlatxvu0NiJe$#t%730JPlB
z&h7=)*%YU}vPayMALCCU5GHx&1oJ}xv@RVWV(Z+ykpxV;dic|@3A8v;l!uHIjsLkd
zHR8bkuZOFZh)Ms3{exKX+xcZEvMHIFze5_i)84)Yl}aeDgHqFc?}B^)N*}Uh8Gx6k
z>Z0@7lmpT-s%DPxQ1MW=VSZ}z$azGxjg5~BQZaFH{U{r%84QQpAub{!=ht!nJ`?is
zy%x+s;*UZCElh_)&!nuOd$5*K24T6aGC5iJYoXQeiHQYRcWKox(0lH4I7w8Bm0~_D
zjNjwqbK~O$AhCKSeR(wdxoO3<R23y5S~=T;x|!FZFy^z^kQ-#u{V`6}_Io3ddk`Bh
zXJ;24$2V{dSui_TC|ld3OaH?05A^NZufbTcc!Lf|_?Z_{Q^k04^Ni#Apppp?dC1|F
z#*n4~R4lwRR&Dr)G1K3IA<=Ku(Q$m$fY^8l=*miMP4AKCPtaNA;H$;|>A{1ylJJzP
z_CU%H>5p#@!3QMW;rR{%Ofhl+UzEYpd*l2Wb>dA`HN6*5ZF6L6qb`X`4^r|Qx?#k~
zriUo0{+$#$b^RKF1B4huM1#|Bj1Jqxd%Tt;X*qMo=#rJ<57|8_kEg1ncAr)M>SgXr
zlytW<aQ>ty9g2WeiJeP=`2MV2<_i#x$ap3XIMCQeDJR_@YHyFGkE0I=u?r`sF_Qko
za=GQ%vpN7tD1UMA8^KF}W@wz+!Lw&d=sAmV(RAjo!>RRG4g<HMxUG3)#C4k9_|--0
zR6qB&(1Da)F4OjzoPg#^>V*>%*XCb2`HzdFLb#x)Xbk<LO<i0r*DT?w5Xahy#8O{l
zmFH0U0Yq>dXlEWGLqTwrZ0`zpdS$b&t`xkRc7Wcg2A!|>S;yRm$PUBq7#J@xl<;<8
zJ#;syowvap3=}Q1m_Dsdt!tG3uux1j57NhE&!Io}4(5Ta5JxhwUKY~+X;)dY`WkVq
zM7wKqq+3{7-Nj~rv$>6q3d-*{Y<Ek92gO_5_^G-=DMHHuV-ScCLb3$`fsMgC+LCF>
zWH7R_vLNQhdHIKuVzs2CR<NN0^PY_y{Fn<_SqX^2FkG%yB(#tlPTZK^uot&3+pw^>
zIEFh=l(4Yy&6_uWjO5(|9i4zvcqWhRMfW=(py2xMcwgjqg1W1R&Hqev3iRvR;P(ZM
zA?6=7abvKQ<HRYlWiq<SJyCLv1l-cze(nGF<kB><^o<9MJAEkpGdDe8QnB~wum1)K
C!^r3W
literal 0
HcmV?d00001
diff --git a/QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/examples/figures/fig5.png b/QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/examples/figures/fig5.png
new file mode 100644
index 0000000000000000000000000000000000000000..8d2ed3a4b28351e445ec872d4d19639989948d45
GIT binary patch
literal 75035
zcmX`S1ymee(>00&_uw89g1fuB6N0<DySrO}1b2eFLk4%3;I6^lZQwS~`~5d-5n$-)
z>F%miXYXCRB9#;*Q4k3bAs`@7q@~2ZK|nwsKtMqLfQJQM;g^>&1io>*h-<j0*qgby
z8#<Xn$Q!yi*x0++SQ>qDGj(#dw6|kr;9_8+`()wb;^54~$Y}fjAHZPmWX{N5+gJ{q
z1i?W{(-{H+4LBj1A!LbQu_Xi~1cbDh@OO{QlQnmb@21Oxm*;6W()Pa-&_!s-Z`L!6
zguC^W9K~Hu|0Js}{5c*u(z?@KSr&I$Sf_>h`x{dWicE;$kUz<UCCzE#S&}^HCwY=I
z1;YLQAE&f5?(57Alcn9(NzbT!%k%-uF$=ajvvGnZ`wayzFP@cV`{LYOhyY1a-=Bjd
z-Y37$eNSo!Jzg#cSNH}4q2VIp<K4fTkcFU&zytsJ{wS}9=2}Un*XG*Kbmo~0%g7)U
z78a)TU7NdYcw<KTzvC=|zsCs~7<~F78D|6jb6f?YqNlgLf2LH(96FjS2QlRS?`$Fw
z0_P2kQ^j&=BCf8t%#&;WZ(s$PFaP&h+b)I9ZV=|qj*gCQAO7D3h#<QBzaR4{e?YB4
zvaqsB%ggtVjv|qgk|ri5YP5MU^SYflxUv1e<J$Wy1>x2(XlQ9mtEwnIeS!$?7IJgr
zSXx?Yd)&+5d)N%-yX?cXZJJ(Pm2-A>J~mcWeLs+k3r}464@(ES$PG<;k+QzNqKOGP
zPnM23j&DX;85S<?&harV7?Lc6OGf_`O)7950r<xUzL^=z;EV?z-1gpH*piLe?a|!(
zN7!t1WOcrQ&p*JzI^D0i=hRhxl}&E2R&)ifk{*>*K<@1ooJA}e!Jw+6Bj@7MP;U%R
zCKf-p@B|%IWSL$sdc#&*Tf4ize|=C8f3;{Fzcd#%Y+`gYTWYiR2OGF^L?ook`+LE|
z%g)YVJ#}?SIXUEdfmR%Kdv_2EyyNHd_&3^d4rqOBItMqbErXffH{lRJEUibeuH6$Z
z-GQlG76TKK#>U3tmv$O4eI?)oLP8LZ)oY>A>%B{kA(%F4El9c-a3!&C!C}Q&#F7yt
z1=V+OyQp5cmp3=N!<0F@F{~50d3k}qXw{vzLUFTiJkZe4`1s=9dXJAz<1(-gdIIUr
z#Kk;fyFgm;QA@x%p;f7lrSEbgM+&EII_h^^xbe?u72qUavp@&@4%6N|+_4T}2)u&{
ze%ZLc7*fy+`HoMxL~gizD+Q<AVUO>HFe&6Lzyg$%gOSo95Aq6NCoFNp9~+tzai59k
zs{LTni}F3Pc21~(v?a38*F{i%653r)NB7OaIuOY;L&fh9onhPd+2`Voa$v%yU6ko|
zji@gGQrsbz5z#GA1?wXH9C&jC0|ks1?s9{r%JDrk9IA`aM>4-_<wGW#bZhtvyfMnc
zf=psbuEp+w(_D{B@fjv_NemJAtxq}or($z#SkzOY2iL!anpL!|kJ&jnuTwf-U?A-6
z?ajv1=ZI@VEK-QspD(6bG5=xjoly03-!1sY<x`Qv=<NRQviqWBB5P4s|7H@4!%z4B
z7J{>~vMQ;lumOKl#fB)D_87ZHK|!fJ*95uI*PBo7wcoE7)YR16dPev6jQpZaV=+a{
z;IxO`OpqiY`}8SSTQCW|_{#N?084zUZK(A9IaQQ#BV||>b>4?Gq2Y+YPg_?|^9SU6
z1X|a<KZ-v;unxK+FuuT}pxA<Wd>)t}-d^?v<2_&Jwe4+v<BKdSbXpV3t2@#U4lHiG
z`1A7eJiNVGz3*(A?AD?big&u<NOwD)&z$EaF}FjmV!yJjjKv@(wvPBJS90U(H+R&N
zmH=hI<9@0r86)$lJnQ`~Lrtiqcnb>)FUMFXYaDkZ?oO6OO-;W7nR#&Q1&c;9_LEwr
zWh;zON;WA^D&Ks>l8StoF**6zr7UR%UUI}<L%zoRW7)F{Q?;8L5wNsSe{5)=q+|3O
zBNk^{P=_3h15fel>Wb$jdvnv^tmD~kFdQR4qoQh2BFdl0vBP<&^lkk;H&3gdGcme3
z171G^F+|Tto2KJcUZsS}4j2ahimodZ)`H}iuBF_BAwOdxcq1@WLBLcFi`6_0Jk=2N
zo`jg3d@95PMrXH=WMa4pQ0?K@?ze7kAEqVKRB2WBv_$w}d3mD_ps<VNreGkw{x4}P
z%fYplH26){_;rqf^*cZS0<aGFS7E@W-W=1eZgVC(WivZF1c&dbf;#WZ=&l)po*%Cq
z7!*d3_+paro$QH*ddj=yvRgEZSop?p<7b7qGS)XJ2FLdm{}?M+U`Z3Tzx2N=3{?AN
zvbD865|L~1{^>4|@9z|H7o3RCJUhY5kLOub3Xr!2GD8gbGiq^ACH!h)Cb1Z>KA`D&
z8(`#TT4?Ml{!5a8itY7Y>ZqP=VO&SuRiCH~n#FIwy4Cy3OF0&}dD9QRlx3iO+)fL!
zX`a8g7(br&)DPTafwu_<*3J9bex@Pg(NPS94v19N&j3qR9`S~xYC>l+#nU<!k0le&
z_XDo@<X+EfJ=1df5X)|DoegW}_cO86fu5t`h81ZfDF_42bxt3b2T6#}e4;J6Z*+-1
z#`v4W!g;kZ+A}GOzS+E()t~$AKM9|`YN!%=4j2j0JR}e|Y7*O7t93fArn$^HPWn4N
zP$uvB&V5~yfGxW4I2wmwTS{+r>E$ODP;?)%)(|gQK!^31{M6}K2*gFw%8RtE8UhSe
z@>c$S%^?myZpxsF!YT8&;PBpWYfI=`?!5zA#cSFvc43zv#6ZaXei>PBDmwP~P#2a2
z42s0ucT_^;7o8uyE1;QS&e_D|^o_#SyLsa6%2mb^iz-WB1_{#cgIqF`h5bA#M4q1t
zS-q-`TlGD^ex}k~PPIBpEPf!72Y*33^9yW;eLjN~sN4S<)3kAiQfXCnT4$pfrgOIR
zNM|0VXdrVy1)7*4&YqaqDL_ZjpQIH+ywNjMn2ioOmV~M)xMFu(XoD8|?MGx8xPZP%
z5}h%TA)yVkp8gBA8UJDG5=!^dA8}P8po-K0(wal7chumua3`;wL1_PN)=|+Kr8<wD
zZ)R(6-E*I~t=%*QiLCGNu%PX9EJ8};x&x6w|G!lTEgiVtTS-48y8mzK$-~-`Oj{NS
zatidvsejXOELQRJSFWGdGZJ-7t{)_#Ly3$91XJw)?bnTKfHu#(3K}E9x1NK1&4oO{
z<Jxx+^zNxUzC6ty!>rFKB-b9^w|eV%*LbW?v9%x}!C42q;Ko{&*5!<G3)b3Bf%t?#
z>MQ|$b(T^yD>~Rju+eadlN-Ubo~b-&QSI@wgskSVGYO9%jhy$Q`ZL+M6@TEFV+=w&
zw0^S`8)#xXYW{&@5mD$;=<?5puNSTjN7h|+<5f6wN5?|tZ>I>_OT%aaFr1v6V`i*+
zdU|f{`tW34^>c-AHDxpm+2(oDfed0fpJBWh%^I{ko$uY&SKEmLy1Vn}<Oqj<zCugg
z##7RN3S9YEm7Cuhmc_2=quZ9uXRMs^Z~BA|a#>cqpnE=~eEV<Veyyb9#5@Vex;_nu
zhoIe>O2Rr+beV5ScO6oIHR3u;v_|sd8H3-fcGOVSb0*kTKY;ixj3Sg@OmLE|O-EFT
z9jS4T$W6UdwAN8Je1%}w8#Sqyl;`Y`e{NK&+N)5uPW))lQDXKQLgV|FH-0vdu5HE~
zERB5HAYaPL1!gOXV50zo^|Em40=$v0dA_F}a*-m>PyKSx^WxyRwX%qMp2xUoeZA0N
zB7&Cu%3z~mcM#0%+#GQCAzZfqX4QXeat<vq1Em<)NlELP%Yp=}?b6T$J~u|B85*Zz
za3p)=SWLj@bfsZnS~jH(Thf{6it`92zXoYG@^HJZxEx%#-I};9dVJ;=^*ro?b8Eic
zE`hsrzRv6UJ|164_)y^hV@1h8$HkJt>Z{(CeFz@-apI3~s2T_Q=${X26NReE?baG;
z8cAVVDnqy@7+#zLT{uRYc>j|n76?~x{93TrIjfE6IOq9e)19RLbI#Ua&k7aiX&vpo
zqPV-E8le{HiuZIr{}PQHzK^#DGlJhf^Hj5Mzo#S?Th*6&cM6Y*Q-?r5KJ4$%SH+_6
zWSRD!mjWNb#RaX3FxOh<gBT)Q5jS;DCB*p3Cqq<wnjH|ICIo+kT7F3-!IVtg5c>AA
ztwH3D!EOc(1o*MZgkH0gux=eQ6Q2V}jp`3w7VMWU^DBcWmG<#g&cx^Y{-b`PquztC
z#g3{cIzjwU9=B723gh#bC*_mf`C5^eY1>m!U@>=3_2gB_`pTwTM@to+DjxpfSKRu7
zBlhp(fAgFxXnjvo2gPGETA1!IVIQ+h-2?SZNAfjKUlb5dhs~4;OW9067LslpUK8i#
ziYn_MIK+Qtzd*DpgURxip=1zm4cJD~!ws^gOW(qHt`GG=`Xf|>UBK@9A-4Jp2oAul
zgY7x>Y1)a!fv-;Q5J>d5kf8kT?A*n{lWG@@OV{dy34^qPsfifg%u}qH*CHNW*{_!Y
zBfrwsVfX%Hrm~`@^i!vdGPk7q0(3!6(xQ-<-AU?&%iVR(MZNlF(bJQXaUQeKTcC)i
zs<K|^n_Vb($Ioi;bU>9A)ZJpi419$3x<9|VCeqC$RbI=CEuVl!%OaI;nvf4!P+~4e
zIry1<e_RQw)5UtmU$+B8P}!_X6%=N^t|xV6&-t}82=BkSL$EbMR^BPpoSb-2X~S57
z-vUi>bMrjLL@rw~T?{SUs+i9A_RJQZfgPB!ggry3Qo@mRtv?Al6n(99|JFb}MJ2Er
z)$DSvo9^$oYXny`6T98-1F*%+Q^kUp9n3nI-XyTH(D-4ZFG_XUS&h$GiE{?FeN$6)
zCE8x&0xzp=kG)-<sMJ9V>L;7P-WPd&Xs_<An>LO=uYO|iLy>KIU4?sfv0Z(;w=K-D
zZqBf7Nsv>s8^%40^U`mBdmm@K=&JbC&U!uI{?g&Hcv?%wZB5-|zAb(}64VwqHcvtu
zeLkSNFCO4cBpO`RpU;s?g_!>8#MCigJ0M4^ME@*=8?o()D%16rH@Eut62!iDORwMg
zcdRql01DhV^?+DHoFie-c=tlhBl5CC`nDMeM`GbyVfjr4VQ_j(TZwNHO1DI}Q!*5t
zKOXC#xRoCt8bae&2j(I|*9l~Bi;V+;aZf=i9$$<!S#NC_2kPAHg|S_e3a$w6qC@Id
z;4rFHrSnP`INP}1wevh`!BPIill)=)bRLR-@k^RVr}L8PZStD9L(qn&9J2Kxg!Zh&
ze6oOCD0M;aDce%nqVg@zucGz<iH3U<i4PkA&DK;IwAs#9O>rg6%_rnah9kLUo`U=R
zZLvj5N^N_&t_?y9R$a?ZTVkx$qSG+>59{G-bC3RCv}W!P+Nvd;<sqF1d6T~#L}c3m
zB#rO&VP_(a?5QSHTUL`pbt^W#SYy{e>m9EV2_d>TW@0~vYb0#^?MAztb#`5L*h7{x
zP!d9Kj?a!LvRq^%L__OHz%C?Q(r5>*)D=GTD_fPhNNKBxNE*%95Lt1Z{J0|m;v7?k
zkW`uMrzZ+J&CF&HmW%gDl$p`Ho29D<Wd(&be&;0Z>g~@7>;SfeS57|$&w$T6MW~G`
zHmh>Aj@QcZ%?5Mn_(Tr)pz@Su_Lp_#r4!W|9|+a@{F2+v^r=VK%Ct@9((6+Qs<?J3
z3Ngj}GMZ={`W_P&X2YHj9CoV*CsO%n%WA3tOJ=5OCM+&~xSC{QXrEyIa23iVCG0ob
zZ9Y~KLZss1_l}z9#5R}X8V7|jad2U)s!-dNnRv@ngbuJE&r68#LrsG`SeQ+?An;w`
zm^HN2`a3@F*;ElZphh?G$#^>7B24n~IKZ>^4%9XB1V`-=_~^E$t=l7iflBh^IX*Rx
z1AC1iRnV=Bb=Gb09`1Ya-I}@0ol$nyeh6^vwj4vq8CvMKE@^yeqO32dzvVEM=f&G(
zg;v!4MA3MyZI~4WfSIL)Ny9n03Yrcyl#Df7_HtJ?&SttJHJjC#@QEB{vgU8!ryf6Z
zRr_I=1|q><N#zbLUP86g);CI)nA7m|W6#wQX6-j5gXZRa?>G-QKH9{!mK1tq2N!8}
zFY^|M!aLG1wp~DVzFZ+8;m~~&5YR((nKrFM`S<%nh%B)Elaj&wIrxFn4`ZS_``3bc
zf8y6hoxugu1pZI4Z%Xh$=^}D}fu@eudIded4VCc12NXy1n$3w6G#>umr)F2(E^4V`
zy7K|*0ka0dur-}P5itZ>7B2+*o(iLnss-K7SWRSz#|L2bip&3NOSs0@$F1hx<B~Kx
zj@6qS-#iyJ4_dLEvf1d-J<U^DO~b!r)2j;faet6VpNnJs>rSIO{v0_Q?<l1m*D-iJ
zWYfvXzb#!Rr#YL7W~7>da3%GL-2rlL98N>!isst5*lFsPCr0LLZ!m72+8BiPbR^+*
zYTPzAY2~B2lB^Jd&?OIPzwt+_Q{6$LGNeff>nG&Ov)3du6{rm{R{Ia5fysl}tlh^f
zObjr$%?XrIleSa>%~>oN<$gS*J{P~~K2myBtgh<3UZr%R6A_JFPYO=TGP?R8Ns}!f
zgL;s^L4Q%^p9tJLe@EEU(%*8CKvYpd(?(l@yv<iRS=x|z(~Lpo-@;i-{gDm5NU_9)
z=hzUBk5fOgBoa9Di_4pmKcbq5A5sw5QZfc1WsE#LcPy-oCG6rxi#J}#UzYCoc4S{u
zS6^GMoN_Y}Hk>3?9gFvRxGxZQl`Z3u^8K9a*L6mP!7U1Zi~SVu;YZb$CShILJ2^c`
z8|xKqEFe^IZu5OyM%B4VblKUYX``I&^vk?CPN|)G0Tm)j^0&I<4)XfDP5@%5jf;ic
z<6RN@NzA1Cug$!WSHR@96g;fY)X}GFLC=FrRFS&sZku<os*~TAms8gb$Atm>>C*#A
ztl>O;^oBaHA#bbHwmep(g?Mps(be0#GrNz~BaOqTCueN@g|YL61z_S6abKQV(43l_
z?2qtsJ2e2&><I$cignFUBX*`p&-c>Ck3E^&O-s(=u0Fa|SmBGD9UhIC4qImC{21HZ
z^vm4g46Xk{F;kK5IMZ6&&V#A0Q~S47H5Kl;A7Efes(Z^5e&jmXxUgQ5S0}H9S$0SU
zCI*P{#p}pINtH`vwr=6Q1K*5pwshxTTm0NHPgz54u^G4XugUwIrH-v#_jKsWFaivP
zqwz@EA{3n%`7AL=3v-4(b=CuWu~0!HGO%Ae`Z-6;#+%9y*Lu4$$}M&Y_cp(LySq;^
z%OHN_`zpUuVmkr(Y1y15((f7o?-&#-_9`SqS>q&#h=>e>awtP3ni2!ldsho=q@QM4
ze<@9Vw|M%{@RURnO%GRjx7QThf+9IHX3@#m;4fMJ#ygwyV(#zaZELDR&#mLo{SIKa
z_V*XuGDKVo7WDnI09lI#P&TSs_Xq$;R~$$&C(~M*?MKpU3S$57(Ta!jx43by+tG`T
z$`TSPc*G1_nOY8@CYzl=eB!1`wf-i_!cLJaMe1IK?;)T*m@R2(41J7r?ZIhG=}j{t
zB|Cnul#GVxcd#1H9i>|DxHRxgG`}t&%HV!#v7{h-Dqb#cU$NTXwMg~3eL#7&q4kv0
zMd_y>5k!HgJ^xuFDWZK|Md`ndnDPnCjO7?j{>x70054e#hA7?w5xXAIeZ_h$N!M%P
z_q44m%Bmb}rOAe1(^PD$>cVi{^ZEEP(Ypei1kp9Q*QWGAu<l4e;Ju90tNWiv>Lk^~
z5&x>L1?^?IwNq9bVuRblKAt3msCh~jvqI22|IHA9YaGLf4YX#_I^{>Tkc~J~|NgxX
zP@|$#QgEv~p33TXB4&mLu88*fk)hWhlz8V;K8oDXeanqT9W6b5*f!LhQ{`*9qlD0L
z<zbML+UogD_B%Ap+3_1q3VE?%oz^fXPF;r)oZ!#bAn8+n_bkQV!)DvL!D<ob3LD84
zJ5iA4Nq9`1GcZq)XIFmd?#iHb!Xxew=rH@*%zStbjjPAj-QDZ#c=$`AAbIvA)%#)U
z_!X^3#-=7?GCxVP;AF!$88|bLJ)J)RXBG)WK_hr2iMRwD#Z2a|wA_#+H7DGALa6Vw
zNlb{O^(YnINFnA9x*Q-ZEid0GEzbVTz%Wt8k)DxZY4>`1p3}X#$j&3S(Qq?Gv4@5i
zx97_~E4T&dmJtd+pmbe$%ge4VU*!bWa}c^9Iw5e1;tU1?xIVrZOI=0(`_u9`t97)b
z;vH}<vyikjimQJtk30{1R2duMiF)j!eYg4#W@<|&*Bk0shPYlySFk#dsO+snwEtw7
zi$@z^@aAItXj43Go%FD>fx7#3Mm;9wWV6mpnMN)k^!%N5?{oeR@SS!T8tFvN>kTDn
zMYGN%@+6CahpxN|S>9UYGBuC_<_~&%dcI}5#mT8<p8?b6`MKgvy+6R)4^Oz(DCpU9
zhRMF95_4pecWSihwkcu3L|gr<sr`xa3-nNBLVr7dht1L>U?2ZT+f4!q@KG+4hlG<q
zlRRyw={eeC%<i72OQJ6>n?*A_`#8`6VKR-uI0d|EmRpKUUFNV_j~}KK_;)*tS!P$@
z<;D`Y5Ap}87#YnkHoIr%=j$wIC?w)Ze8-OC`R_EWr`Ob)kHy@l3JMCOJ<k1fZi*HC
zg<MwGo%e%Q;2Y|`AM6qcirm2ZHVS@npAwI+qcn!_F4@D@QX@l|d9DGJ26JShzODeN
zZKLOUgD&pb)bvF)t-iOrv!cKDjn1O?%wWDC_^S)Jt`+)33^Jfj`4FS1VLl&4J=B^|
z)@Hv+*zUx4w!3>Oa^lQMsXD7QXPpbJE%ZH2h|TCj#@5{?p~qe93%;e5mC@M!IiyHT
zO0u-za(jwivatid4q2a_owa~KqzlO>N}o<{J<Jf|WAXZX`(+=jciVx|9a59DDtw-&
zu)up@n?}O_gEk!5)WriUFq__e!8SeC$e25$>>k*(w93X^C*qdM+u8T30UY1}E>d4o
zQSW;A@nIsKp#P#P@Pl`QO-`{T0U+s^4rCEA`G{Mp{HZsNMs4BoqmN=IthDN=FIX(B
z)?>zPU${A((X2O<4_|j4BzC{3_6L`b@5J2zBL5$YXj&e(asP-@RhXE%?Du?jY3*1h
z{lR;XudeCKl`<FZ3<-a6v3oSTrNhLPYyrF^mNVQBp3I$|@ADHSp&j9<?QjZD!n|j2
zC#M7I@sCL)^}6D!f2a>dBhWTwd=LSkiC?V=Us^dB!al{5!#-sTXKtjGq+<s^GKmkw
zn#}o01UE)=DC43U)?jU)<D8%1z3ciz?*e(;YyiB)U{JA0M7A`5zO3gsGCT~QDfAZC
z>(HJTBVKjbO}H@g^YQUhdrES<R}0FBs;YPPUx+w3{6!<BUyZWHO1iqo5D6vyL}6rE
z)Uq$|>aG6O_t5*OwZH`Uk@)FgvBnMOQTIKGv64G{3Wl!A9X8t&@<kY*XXH}4M^TfX
zM?R2_BH%<v_xPHA%v5vc1Srp5?Q`YoIajxFW5T%ktn<mln^7&yB~`-)ryYkXBJhI=
zP`Wqx+A@es-@d^IG?(+LBTE~f<(ec0i$3;FDeIKS_L*4k35h}iQkbFZl3GQHg2EcB
z#}S{$CsPcy@qz8}(+yB_+fo-ToZt2@XnO5~!l(QFo&(1iL=rKrE(n*AtQdq=Xn;Z>
z&XAxIbnH0nELT0@<!9Z^`HgG_&<go;<NX%G6^ZCDI_#F$5pZBTsD|y;e}`6vaMV-c
zIkOh**8^3jZMD|C5SDp{tIXViTY=KQA1RsGJ|(Pt#8Fz(>5WVG1thC5ALGa*72e6j
zyyl%M=bb!VQYGu!H#>I;T{3)EdR%Fj0}roMBu77Uj3e$;i*xF}2RZRM8#XN&Y7RR?
z|F!+uR8yq(vv~`8$nl76f$2c+RG^9I(DX836~n>m6;FNjtQ(;x0}v~%MHS_N+nf~0
zW5<QV7B22zj|joiC@97XedK#$a{0qXhW4u5`ou%qy%qea6>0$Q&LVCf&BAme0T_1$
z!^)^)p*PWdRn!PS==-MirnQeQe=Cz0-Ar#7(-3Fo?*Jqz#FhZFjL_9EC$*H*fAzf?
zn&{VAy(|$)w5+F;W7Z$e7sBhinrGh|03uvNXGfn0!cjl)K_<OZKOQMH$MZZB?E5oJ
zQoOOASq!=8$imKQ!9V)y)QqegHPwcsz+PqS@0(q3>=p^A+Ke%6IXuw`_3B{gM#Auy
zLC<hU<uQ$cP;&G_v>x&4JWB$z#z27bIUS`WslTaYth6FLlRu4{i!Az9F!}~XwgKHR
z;=k(Zw%FTZCfM%N%KH+9S7VFON+|wtJKq3|l0SMg_xj#I_=$Bekq5o^wa7u)h^Duv
z=hD$xQW<NkEc9jIBOtkS-}fIgm$kn|HJ}oo$363Q*m+gyyg_ltnktO5Qj<rvf+d-m
z$v-NlbZs;_*Q+Tl|5R{WOZk~$($P?G;ILozkVDOE_odAb=vcT&>4Ssm`XZ$Q8F*yi
zOve1->C!CbaCv#-&~=M|cA-fG2whS+aI*gX((_IL!YsCIe|4xd21VxUM6n=32Qys^
ze+~~Ii@3r)=I!FT&7Hd2S@7~Rd0@Pr3AAN`3udC71N3R`uVw%F+2J=35TB7hWJy+>
z%LVZ#0WxSW03ZF<CMpAZV+n`Kp0Nt%9$UR>u~|7P)8N4tY%8t?FYp!)ZgfCbDC;-W
zB4QW)@RD)}x*M=DN2qADuBH51afhIPE}g{3n=GWZj6sYx`8MQ05gylNRIhA8V`}`5
zp@UXWva-<}m)kV9BNLxF#!=Yvq?~p)E0cX9&Lt)VRsQW3M6+oO(ZdIB<?`Z7dj5*B
z!ynL)%k>Q!cglpdenTl{>4_WexTBlK`E+@_C?hC(8!}+x+>dQT(729$({Kf*=sfq3
zw(Df|2T<Qm^3&AvuUkpRZOJwM0!>%=X~<$Qx_iO&P&&KyVuvs9;o;$XUpXiU3WCJ<
zMj7bd*K({-(bDc57U%3`*mvXsjeSN&#xP|3o}N%7%?1mMsC*Z$6lBNqM-jeTog|J-
zRyYcDQoNAz381B8QA4m~K4j>5NWr0g?&dbOqd|w^!w(j)NgvUq&FL$->-cP=A%uKg
zFvvnf73Y`TSxIP6H>YH`JPu%UERNUhlT`lXb@mt}Sf7ae1CQITtPqbIbBivvr{knc
zHx!F3y#TFHv!&^86`XG$_)WBXI(UA|M_?w9o%N8UC8_0yR0*^CBDwm%*Uvv<Ku<mM
z&V8!cW~qmJKhyaBx!HbWB9q&>q^u08Yj809>B(!pT7UBC_W1E(C;suMyc%Fb4&P0t
zMZc%V@HM+aPui{tX;}&MLML+38nKl61><4<99i6Cvq_hcR)NtjyL;b2X~uxija%>7
zbpidAvm4X)Ixe_HRqd{-<zysF`jysJmZ5Vx5k5G~9sXEIff;3XLX_l0{buLq7%k_x
zB$az)o>gwaJz^a!&ex24u3vjlG~+NPbM_FMc|VBQs;|4RiLjd4u;Q1fvdwcXX%=Mw
zbu8~trN+kTiV|oPJASjGwt&UDzpPtJM{ggq)X#+m`~fUZyF>HUptC>GfB!Z$6PJ~j
z8=tMVepgjZ$jlt8Gabd__hK`vPkW~&?+5)GO>th(b-%nCWpwYQ#F+RG>oC>EV0R(D
ztnzCxnc(ds%aAiug&-A}I}5*QvT2N+(9v!sRmgP+w8WFGwZ*R7LNk6I;0>upY_2W6
z5^Bx{l{eVzo56NKb@WWCPKq-dr;%`^a^)~3LNkzaZ;GVb;y4kEXy`VjC?Yi()DX0q
zPFd}Txd&atwMBy_;z?yUHkEcRdr5LiVxU?4z)<d4*$IK>i6@+KOp{!z?GuvIlcIAr
zv#Fy)wu}9D>7<$`UsiSy$ix(xO?II4Nc2Z;F2uUfn7DWo(etwup2^NQGEi`FQ;f5t
zV`IMx3U-c@ouLW7Fe&m~egOI|CT3<V4x3%Zdir%H2xtNipBNYzPS!vveSLjy`-x;{
zzM}^hQdI;jnFz|vH#6P<9WN_VwktF89@pz&(34eGSzz!;-X<JW={@^B_I>ctI{WOe
z^DX(MfT0c^f81prf|v(Plij|WJ-f2~x;Wr707~+VN|?QSA)qZ`{Nv9CH|k#)ZfUzU
zZtW2CmE>}hKgE&teIek~9X<FY&l=2*R_Td?CkSy{^QC~apc>T@6R6k`pqho7iw}Bf
z4qvUn*HaHsz$UWg0Kip;<qhFCU&nQf^Ny7|_ltii`hGf&s17T(&6m4Lihrl3x}MKF
zCwJln?e1H}&YLP5Qf&+SAr5qPTiLi{uQ9*jeI)2<O;F*cG(sFNOAAH`*VJwL^~+Sd
zhR5N}UR}qN?v~>FcN}}aIm6RCSUAEF53ddNsX8V>mFKU{cDqzzFsPrt3C2;KU&^6+
z!xuCLB^J2=(nW4h!(eM3s4MjcZ{!t;VkvW$Jhmb<nOozGL8Y1e<C})ct008PY5_jJ
z3&qY$c)+oci(RC}`T{gX4Uv$w9>M^caJk!RIFRzwMgM<;tl+&tR_(ZqdvLeh>F<AR
z<Yb=XdxsEzd3k9#@{`)<4SY|h-=Tx(0vRxE^)D-ixGibAj>X5xfocIDPBJcZ!C=^g
zBhpEFgcOy(N|R4LKI=<Kak70)3R%}%WX(JOw!2l*^uL*vIrj}7G|nfR*EaDXK`3VN
z?%$L4S6qBgeEE#O>y2~iXKt))i^Zl^)8QkSL$u!4udEL=p7w#=mh$W7N2{^Iw&ZKP
zJDh#WZ<YdMSARJ*Uymztsj9^!K4cFI<>Wnp3iF*wqxPIB$IBAFsh~a|anuyJeN~(5
z6D89`9R;?VZ4d5SZ1M*bCpTm=F*vC}yW*IbnE7)R6%|D<9V;uE4gWWO@B6dUIE{SV
zk+QPQSN2gzhq=QRDn}+<a#S*Uwiww&l~%T|v1Tj3cG+?2ssJ(!^v6n}qe0`bsUs0x
z8cnME7n)ni0K{uglxDwH?v@asS%en~F^9nIk1=<$_{hATM@NJ;!S1M1Yt^i5x~!-N
zra{H)kT?}zi4XOTHS+27wor?0^SZcW5Y$&z;SiT!s*H#8j5pEPlrw4zXA;Vhsc<JS
z7heVR9TJ<vsT=y#4j8yNy!VJ2{r?Rw$ZMYWhF3!{)`1%h1A`q{fQIJi_aL$7xB=7D
z)Koxxykd$uW_yaN>LU|vFj~D90|d$qnu*~u{9d1A(k5>Jd1oM96exfoI*`8+?xDkj
zKkYVLVOcNLoM{2=PlSXutGkUa2qYj;t!h;Eum6P9gZUW_A`EVTrSlE1=r;QEm^Ihd
z6GqJOJ*8X|!AQEB<J1KTz#kM8e4RR~l*i({P_YTCiQ6#im%-0{q*ikFx-kmjwA8Pd
z($_gMKLrr_eF>rlUD!@7m1w8NR`L#!nBG=Txd8(RqnDsLYcshbG#DFD9;apBgZT9H
zG=F~U1(uHIeQE@LNy0f8A0KDq<ZKq;z%yx-hir9a=WFuA&Y9mU5FPyeW9yw{)alcy
zh)Ob7Zdd?KFDPRKLK^og-C-|+ih=oiLG~L37pm2cQ~HYH?#~u+P4yJ<S?r#xEEeoM
zI+3^h!CV`x2$w`-5IKhc(|mB{Z8nOE$ym~V#&=ETGarQQQk`by+_QCQscAcKv!d4p
z!5ey)Xbe|q%bKleL69I)3tgw9WjiaahUI!>hi<!aq?<u&Bcyv`;t9eYqwd23d_b>k
z-Ug}?w%@nGrkO&FkqpKQt=44tV_E@&f|cR`1caM%|7e4aIri3RZ%;$QSRAofg+ErX
zQ9-L!myVU3ybV1y`RA@+gLsJKe-&Q~s;1H|z1#nXizqf_H)Ww#Z{CaQp<yuo0j7dX
zSO4!1Ix)j$TS~sv6vvz<fd5I;)<I_PeIo(1d;4fT3h)B|j(0jGjd8$@erK1;e(!sM
zeT*&0k)*TJ!_7Nj94OK(wPPSFHl#FeP!9l4#L$PJw@1yl;rCzDO@#(&{inWg0P&*K
z*WZ{wkCoVwPPyYG@CRjh-gx_+1D&f)MgJ$2V`IP-2>9-x6QerHe%A*2+h~mnax|{S
zW^#Xu8&wHoq4*pHfF(d`H_P~i>qlHgPgFi{v|E{(<4Id=%H`H(&xI=<Z>%H5NBydN
z@G}Ds|3z}FED#Yu@W_HcR%#N@7AI^KW@R7#h}V@~$^NzWKe@W*j*_<BOc_ypEWA>I
zc+q`krm;Xp=qNzAi!jm|^6c`YI>QzcEH=Xi;?n!zH+n!07P0UcSh5U3w*{<^3JD1b
zl^eL&*jWuij5IV*U6YgNKd&eG`S{+Ekd2h1mgcXV-m(`Wh#<c9MYmJ=*|b>OHd(Hb
z?x%0r%g-xT=WlprAJ5%U^Rg|)4hLs8yrEPYBrO|~Rg6{vjF0=B!<>h2Fl0&)vx-#M
zaEBr}rQ`784y2ORn5p`2R714`Ie;l%14l9rW<`mT5)-({zB(9r)&h?Si6j71lPDs(
z@DjH>c}qyZQd3h?@|_J?od?6Aoh9ptKzz?gmtv$hH1Qz+)hZl<{FA=~v;qdXcA<5l
z9k`xllJci(Zk3WhNT36khw!>@q+Gen{vA*ONpp7XxBnhg^SVxSL#8Bb`V0Ij5?LSd
z{Y#cpKuK*qu@kw<Cx>zlxT^r$CV?mi!{*N6uiqc~68|_treW^7m!R{f0mVs1M&>gG
zMHm2_{T{a97+QA|cj7E<Y)sbvBxAEq@?DRe#Zf6Z>k}=G9z;+v$Px5tX|~Rl#+0R@
zU2$FrzrsS~w?Va1neiowB;g%k$^_|iEeyyH=C3QbUit2<0x=!Q2rNB>nca2Wzx
zl1HAWn_0Ry(g1P1k=VdC`$2#=tf}nOD;1Hguzv#4zQn$u1KkBj>LaA5x9(WodGlA6
zjg4({d%GtH2I&uX7T20@gFRY$ks|;YSKy-URA;~UcHa9>njXLP_x(e2p4nS?tTn;K
zsZ3z1#*l*t#g}jU?<EH6v(mrVi+RQJntH#UL8swAVwIU~%>}y~oQgj;04)2!i*(mU
ze1?sIfT`!53fTgJj*z@O3P(oeZEaZ--L?rEK`G!j^j)8sxlZ-my<c@kvv0eE1^juL
z-e;|C&u5?*0(Qjur7?hO4ELf5B6p#1t_m3$8FBg&kZGl={@M=n`uh~h%^PLWdzY@$
zw6F`cS><f1(5JK~hD_Nn7zG$uB5$)o<yEO|%8ZQrA^9FSVP!{0PE3<E7~;L5r)t^m
zg^wy#6<){zI^>oAKh=Fp7%coM2R{wq2h<om=Af6Cm!0f4Ky4cqe0!XnA4I}s*v)cZ
zxAZ+ZKcD2>@aY9u!y?F?u|P6@U||6_X*i_c2vRGoN$~CETK5${ge!p^rd5aA1g~~I
zZ<l>!o~Auev+>GRnMWVD(S{#q_pDcZ+Bl7XBQ<ax+`{MfnF*uZDt|sRyi=Q~iifj<
z$|t+0h;Ba&7uX7oZRsWr^~RXk0GT`f{2r0a3l@KSUAjOb_A@JM(mPrY3Hd;WgS5WB
zE|<;sAA~>eeA81i$5ptV&rbe)UI&Spl_|DZzP#FX9Iobg8-|<qGV?{}dNkT(!B0A=
zG2I}Zd{t+4*m|)y`_J4&91UPVfYWxfK#Ix_xCeg!9Kr?D8jMPrDY%YdXlTd>gzWt*
z4uL!*n5d$($D)>r`FoMZ4YuZOzfHvhBSaMsX;sWKM!lJn6Ab`W_}A9|d`z#v;o~>U
zo%^41o%BwS1?&{Xsf|BB0TNGtg%-d?xw>S-i<<oe{R09mz>&?KSU`Z{nyRZpFoeOD
z)R4awKZz-li>`(q><A2x2o+O}#S#I=#e5_zHnZ)2+rfJK`~P`dy;`af-3q99{?Bcj
zbTCVNb8=z>^q{329htGQu~X$Jf`Wq)P*A>p{TeErM3J{}O#Dj~-Y|R;?PRAE-`vq{
z)<J-Fb^C;?r~7YtO47Dq!gRNJebcrmfJAy2{^p?Pd;6p}2TO+M1aGsGRvu!$Ba}>`
zaHN}9Le8sY>*`A&ah3G+{Eh~6b@92K$bm-gCcq{KHa0fSaz)^uHB^5k76A^+&wxSI
zCGc&<ey<La<8!;&mAoN^^RxLoOF8`vMj-o>gN<#|znKhJc|{_UEbh_o@7KNK^F+g0
zJg-cW8FXbdHSyDnwoXsw0dID1IGTA+2m<-nuNVXbQTbFFbT}OL>tn?3tHR&EV@2aK
z?p<v4>OOjgpi|c583|@HoRL3C0AA$-D45t^$TtYC0F+!7f5H^uN||rN5x<05FnRZJ
zW(sA%JOK`Se1IYX%YgjLm*B20A)qz*&Krj&CI$?ceq>~f-kq*!cKW?z&ccR<pUcZy
zYL#03iC<;$1pW9V3KD=dll1#HIf=(6<k9glXy+P%Ea2@QIH<@{hsPkOz9533rpbrY
zjz?YM!vGIZX(_(~x9=4(P-u}3>$PMjACWCJ%_h$~2g#!=iy~+~LG=1CDCji7y}!A)
zH@}7X@87@6Gtl`}4-%u2uI{*TJpTX?0vr9KnSgGCu8obH1M|1AiP4!QM={bLwFewW
z<7Ru6`rGfeSCKW}N3#Ji9plpY-ciS!_uQ<3;cy6PNqKqiq$1AXG5v2r!<;YRz>xd1
zL2*Vf<QCq_1SrQVI?~V8_}xVf!auV8K(Tkz`YM#+KD9rV);kbO`1tyKp2lgPt?Mrb
zX=H5dxtkz4G&yNLocQ$v49wD89D0uc@2CvI{av>%C5ZNp9eWReYZQQu)5Q&oOhE<+
z!VM9qJR1J`26{I?9-Uu4gZ~y-)$4hbv&Xlq?i;?Swkq(`P4RViOx#`&xDxUIf?rSo
zm7j>N;EriW^rOR^r;(~W@Is&CZ$UD#$xF>w1&W(!(HVW%fx`E009VvWFhif^c1Eyf
zN%}|{2H@`nGSNP&3E;9{peF%G|NF{abr1EfdAIoLyl29T0toTu@p}JyoO2_$%u0P9
zF!^F&4^@|c5ms|LPf|-Z%eSHteJKWV>i^;gi_NvF0c}^82m)>acr(zsi}JkQn+B-a
zdnVM?*MoRc(DRWhhIk{wqX|pj=M}`cQln%XRZzCFS<rNEblz9nzJ_WYsrV&CbHabs
zNCr4lOA8m9d;ySY#W{ZIKYwBsDP)cOEtF*@h}F$f2Hf)JC(@F@E`-lCy`(ILyQq;6
zn=uir6b}iUpbtUX9}xC;)`Bzq*X&Md-fxYlP#5N@I~Y#0-3!<^ol(5nN#tiVfP4m2
z5Mm4rj8%`FSexaB((-ylGM>_sJk!Q=X5nBU{4Rm<SDb*dY8*W2`W`x||3YU<0sWr_
z^M99%8=1l5N^{<JjS5tpw!39(xlAs=<y}%;y&ucDZt(ZFG%`L*$bOE0c2rbU)fipK
zK?r{%%m?p>+=W&Eb~x1d7{lN+rU?st0X{JzDe)BuO}Lo?oG#Op``r(m{O02enlk|b
z0UdwvZH0bkc0~o<S^K?SPjBxuTdeQ%o#Q0`{S@%b89E+}0QWp7IgeE&f@Ej3cSQ*+
z6bUZI*$rzNMn*3D!W~I`;f^6)gzMK0Wyk?!3@Lz3Js2GT%XwclPvf|jk<n*G{#&eY
zG}67}>Q1xQm&cYre~fB19$u~|xq<tOh>P3H3n$s0$`g$ndA|)b&J+U`RkIJVxqN_Q
z(=jC2_lG;W__U#F^?Qab%fDBf!5{1iKtZ&*mH98pM#!FXk6m~s`0sTDo=;e#qN6?U
zmdx>4OyGfu86BN5pr%O4$T;<tzB}=?)kVK4mDC$YFkHA!yRpgdWK!YpF?f+4D#A~L
zosMbocL}$FzD|TbH{ci4a&TaBUvtIfbwAskmLwG~p2@RJN0zTw`S#<b2P>|bZ~xO7
z14B&w&(rxQf_kgM{G~4RB^kvVr~fMci$)tRXBJY6BH(=|`=G0oOUmUC0N|@1si}Cc
zPYaz*uVlA3H!e4&3P_x&q&p|@`Dk9e1^*b1RYi9hto0ijkI=nv(EvmaKo@kkBp`-s
zJK)SOE0x2uRAgRI;aCSinQY$h%b->%`T?kNDvJE#z<!lp#B8(3r01~(1LOvgW7*8a
zLkZxoNB30<otDzAkGxE{IxlB@YB0cz%4d>j(#C9$d5@i6qZuZ<*_Wv2|GfA@`^k^G
zKsMXA-{R!>Tp`59##X8~LqkEeT#eAaYq(z|hKT=6T)5tU;^z8UL9=8f!8Jes_p=!q
zUPyI0<*nL#LjrE3gtpJ7KJkDz4BOQHU4gfK&%}ww*3a?v`LMwZSl<tw5x3-s8K$D6
zqc#7yP`_t992&_7p&2${kY*qTpH8bGBAVe3JTS)-9?q}3#^c1-{Cd*}#7|(aGY!P`
zg(F+mh~h$RV)DOQR-6|j)(LMuh`#;%e^qQFlRk6JA3oiWjE!$5@1ExM4e(K;LyRZJ
zs<GcM;I;|-vque*J48Z@qcw@J&8SbcU@@)W&L4loipSqfM*f3d^DFQXw;?Qr$lbB~
z_@m3KzoZJ`^a!zw<CH17%uotd6tC64P=j#?p#l;rGX1<3R5A7!=oowMTzRFJx5#aF
zwDB8Ot<%`Sj(K~+s0lQP%1i!+r%s;T%x%t7nkjl5Bz?cfulAi_j?olGN!7Xe@)hv&
zz4=y8s1A^L$V6N<vc1`H0I8LWCD{aKBG8^%KjD^_vC#6VBHjpCm>!ZOf(xW>h-KZt
zH~^-A`tiQf=bFl(*v4bFxd|(SVR!<}XeG<rVHye~c3Z{rJ@k>}_4C;~fO(WviGqh!
z*t4W5tExuY@@;3{RL;CP!G&*`pn<%H)tGH&q)ID+5>>ax6&c*H?Pqf~ZG0+$EbHTD
z3FViR04-<+LsTnFtPNgm1|P1(L6?iv*rNHI3)9LcEw+9b-HX9E{%VW4Dky#ymc*kY
ztK5G_O~9NUP_qO8o1YP&qEkivEhJMk7sTClvhBR&_e*_-+t;7x(SQBV7vzfx0sR8i
zV)$So5h9+5ht-p}Y_;d}5U0BjKj&R<aX?ihG5B!@SE!(Wtm*IP?Dd8?A5q)z6%dyt
z{NxzlbIZQI^v0M<#)4~0ySaJx_)v{hPn&N|2}fNSjfdki#XR<2GYKm_PjaC%BW&)p
zk=YR8+u4OD(V>An_GMt*4-NgB!!7#NOs;T@Ky#Tu1~26I3K6VX-_71X!I{xrcf43^
z6Ka9YDrC)bR3mSZj*+ziwy-Pcs%!5x|68^fs0CiZOs=#@mUAJ?$@A1jjICaL#Mh$o
zix2jswQ${JE>^K^{Hu?|uw@Zjo%g_hlFG3b7W8V>unba$(sz){h(e3n(4QuFMeBb~
z$0XhP!TYxTeOWbEUA0jsl7P>H33!Ox079f77i)SuLajbs9ce5WypJ+G)0Rc_blM?^
zBJ=}oC*xs_#Xvd&Qadn(<C1mYQy3cN=%(|T)by0By#mi4P0<dYJC2c2t4ouVzObRT
zyUMNlaS!uoe7rJVmhi-SP_=lcF-sem4%z;nHLK0{OkC%3F5HIRQgfE7y&@G!z&mI3
z+g~n5fu*WzuD|iEa8jt*LoJ&g9O}d_ZbVx`fMY=-BhaF~J&T@<sJi-|vaGD^0l09D
zR;RB(>j;=8G;Y)aptb4E!8Dyt%MT=mmaZk{P%g5{Lv0toQVWuOp=<Xzi;KQVZMWu^
zg|9?(ZVlcpj(#ER(DL>9En-upv3UHGaQC$qzsvyx+gw_*-wq2z|2-=3B!%|RQ#l+(
zFTFp;obxsqsQHjuq){07;3}x)Ml&o_L4lu+tIenL#bXFLtIDq<HcD64q~wh;XY!3M
z`FBOYpEBydWc|!*O(Qn_3JiaIK1Ub)M+~)@hHsuQ&$xPa*Zd2M`P$#!h}Q~jmA*gJ
zrfpAxK~{R_t;x2be2pL5bT(DtO7b`Kna1TQbG$n4Zk=7X5rY)bs#fko#`p;pt)Z67
zBwk0W%Ot8DDSIGN!5}cA0*B3J1~e%k+b7TptQ>$Q)RT|@XFfin^10=w#hDpQVA2C9
z>r^x}+oOz~yC?ONdr67{!qx5<HQ&j2EXN3b**ddxq}rQa4hXSOwrzafSLUN=@G*8Z
z=<M~Si`tH|;y3Uo{PPK`vlF0J&{k=^`P8rea5IxrZHR3|&VdS-tuR=O4PpL)3`1nL
z+X5JEdwHt5$R%->DvO1>D;4bk7V*7{x3sS@vqu%kJ|ma7=>Q>T{fT<yg>}AW?&lV2
zERFmd2HSHJm;Pm!tE|Y7iF2pO+0pH1QW*!kvN<!$XR7&kfF)I}2aFlUpbGfWgriSP
zEj(kYmH(<W9=rlNNX`dSWa;VY78VwtI5|_qqj4ZF!1o)@JF%Qi(~0P7lNRhMhE@h1
zN^e!Xk=7qQ^yAI6Q0KwGC0<HgdLxgkA<O41Z^UdE8;l1Qz41`s2E5WZ$cvS~W$Y}w
z$Xh<*6OiyfQiaBSyP@*)4<2alO8=M25xPcHhxX?{tGa3txoca~I4kq_e&og7*O7(z
z;Kn;f__~)mYi^gF9AF;E%Z`M(Nu~D!QU@y(0!<MIjc{D(4dS)gU46ygDgSh?^#OE<
z;B@YZ%PqD~WF;p#XG8uh|BhZ1kjm96jjs2`S6yc0`}+GE1xN`AM+xoQrnOQ#0iH%A
z;IpU+q<$&Nzi?pQ<dYWZ=EHz)z7mu^j5dPSnm*BN39n37bZ)d*d3(Dl8IQL|CISiT
z^bv`Z5`z$K<n}dX!&5PDr-LpnF4h}m_YHsQ0&j`DlFu1rg#`*DPldc;r^0D4szLn{
zm%}CmJ3G4uU2(P)i|f(sMD|(3_wTm3MYWNU($HNU%B#Nf#!2Si7HqbYD#lPdn^zZy
zoVEQ7%{>tSc)`n&4H{IS7+Xn^T&QlKoiwGk<YR9)6;6N!1}^-c!frNDp3g1USKCrF
zufK6G_`{CUc-`^9<r{ZU%l#{Z{3Yf+_>TB(kC4ET_^f7`SGPcnFM*l>Rb#utkzY^%
z`jU)(+H^971K8Il*e`biQ-~I77(RZz(4Dfem_yRWF*s)9{MnV#?Te)~9@{x?drl=D
zzkN@ImlCLj8f9<&Oke#BHIKScsrEtwa}3D@_V}KmNB=f`sI3;Uz|(S;;78UXRxr1I
zshuIImafjHl|4gnIEC)ooR{1AvGQ&{nS-mYu@Dt2MSq3Oa3ct^hr|u{AT%`eeTLcx
zz?N+6jbJo2<)6lTrjc=)^_=04#$h)PbE}}4@h<}`yl&{6FBdRj1vsA8)s5lT8s1#h
zx0io<eB?N2qr>91`)}mG;}P<%?p>`0pH$LO4$VZjUJkdp40x_S?4(pM44pb?ubGNE
zLgHk^azkTkP`oufWj6kMZgHD(F}e|@Vsd*CNk-Q_bvaV>@bYT%v#-BhWjF0Rw6@np
zpvVZd+(K~J)@|ZZz>WOafQ$uGc|-#@e(olU-~+Qd2#ivE*i%^T{tJ`e5)yR(8S7kp
zu)QM0R+6<+sJy*37z0yD=cyosxbs^(!vR0rT!5OuA5nQ4yGSY?!JkvugUyHDxDV^0
zTHI(A&&wMn$Dgpo7o2K$?sYyZ_cRp{yrK>i5|7ZFn5ze7Cnfd%mQDi9bM|YU4fLn{
z3Ym-Lv>dGdW9WAH%yBDfK07B|3hv5((a-QXLnY@cO-%jbdY8d>n|^jg0%2ri;1ilM
zYdQH!q=`!IOv&70Tr|1V`2r-D0BH7K<glSUykQ4Wr2F<JhO2B6Fj@3~$K6q(`Lz!a
z9<)0ZWo4c9(8&}G?QIcygY)y&u@83pnRNTA`&*H;Zs&4wct33=@b2$upFO#`l{8mE
zH9nQ?WUIB=TWC(V?>!}hM|q{n+mYlix%RmGeQBa5QA%9VRvM+U=PwAfX3Pf#N|D5I
zFZj|gJ1vUNyORC4IdkN$|6uz2z3po^jaYl&R1n*!xJ2nXPXVrS;gOLMcm#wkfCT@p
zsX>qK4=O7we))JuTgIWZVqv5u2h6Z?t(`0izZfs4wPkjs-Lts!G}ubocV{RoOH}9w
z7!#gCZIFx%s1_Sr3GUm2DTvB@bQFW<#46m&fbmzy%$ZU_Wo_+IfapM^0t465($bWC
zRjsY~!QBpHDd=m5<w0xo$Cn=C=Q^T)a+9}L3rV%W_4MVjAe84*SzNcVEtvzFpHr%~
z9OWO{0=Ah^2sSLJGvn=MOs8rGpWdK#Jvds#vhu}QQ=5t23e|$ltRG(w=C;}yEG+9Q
zv6tvUan>sJ#80=4W5)LZ?vWz6*|FPi@hZ)hquc_;rj!urjk*6Wm9H;WZdp}n6<;1L
zVH@ujazc018gXswk5QkZuxSBW33SbK#~;;t9Oq9)4c8C4$>Cs<R8LF#DZEk~F~FXe
zF|9ty?J4F>Ty~BzU-nRC2Fl7z)VTI=r%NuR5Rv0j&F31|#}~W#jVW0>-!$fvM~||6
z<t0uH2g1oW%dY#%(g9;xgj%tzzlf@8RmYPRAio1Gip@}5J+8xA*<`w{%R$ofIy%L;
z%t09FFldJ^rHMyceM?_kFApelaTKzC!OXx8vX(;~smC^FO$HLCAj_@D-w)xKCx`Ny
zD*S|_&K}&>DA?n~nf~5U&M&sRk8E1wF|S^cqRT|Pggxf0c71F8zoPy9V#k&zswsE!
zoc~2@`jgL7rWW7R?Vkq6X=)slD&so*e`LL7Sd`uO{*9s{Eg)S23L@Pxz$mQ<h?F!)
zN=i2)(k;?m3eqJFLw8GeGa${-`QPLHeSU8qk7EvBh{Mdju50bJ*E-M7^6Go17H48V
z(s4_ToL;xT4NY_J9SuIkw^|CCTd10vN8E?F7@gHT*F_E|ij_j+EkuGXdMTd2X(|U#
zGGG0d@z0~Tq>nx8c1K^N@@U;`+4BSsmbMP?A=hIe$1)YUpX3+23Z;qnfUuuRkmKDj
z1m4fE(=)fH+gWsX&WL+yZEY;)HvUAixNx$se%PnRb@iV0-m}(OQ5~HGf|0WCR?)?@
zV%EFK)Nv1+)|XpVZiT6?28M}h?E54c8&4_xj+t(r2|s@lI5C(yXyD_GsyNZJW*%3#
zl_&V{HR}BCs@tRi<=Dm4G??J0O6S3bK)qnBNdQM^A}{r+{<zOMKi`lNoV`#aR>?FI
z8ZXHHhN7?Mis}u;--FZr)vs-jvn4z2W)wwXOQ^T(VPud%$M{#2Tp-!g7dN8^#VCC_
z)xq1-=L)poYA=UFb{CUuG;gedL8cdnl7IV0r`UcI`qic)%-qwGlZ*-;ukDwcI>YZN
z8?`ejm1ZLIgOl|a^wM08GoK$AJ|Lb&TFTkw;LM6RE&5TPoBClv-}+5rPha3u_N#N%
zyhI3mzIXV-^#a%&5~BIY_id4um$*CW5=(mw2qi;)!u2)8H~u@;v?AynqyhmI7@TaZ
z-WrkJqgo0c2gkK~^X;m`2hB%YGjrJ*s?1#D1e;^Sk?QQfElV!9o|7U;M*p-q!5tq3
zvp=jjxZ%gQa!x`6$BZ*EGwQT=#ba~$RB1A{lwl@Qh6_U%*@H?+V$fFuTxRABi3cg+
zRi9Xd4+ejrLq~{)Uznt>5>qcO(&a3ZIT3FFki=7_PFtjx)Fo9>URKBGXuf|<fXk+<
z@xXbfi1X^fnx0oz_HwM1N&W1sS*0cyZ<<GG6@dZ4nXAh(VyQcaRNJ-BA}JWp{#>25
z^7q>GVP|on)I8ppn!Uyw3W9m~#$&(aT8f*C-WT&z<ty<k(@}*@??UQAuwgU;elIyV
z%o7v4@`_f=IK=erUoSD+A3dfF!L!%(Ak5f>tHe`RaEESSszq-v6-#g!1l|ISg;a!{
z@DbB)4T473qttjS6IK2KRF~c8PIniV#ib?N9z)??%kt9v?2T#!?fe0;jL8|4_s9|y
zN=S>`V$6{?qzzSSYvomyzKSNZP0vah&IfNCQ_OEmmk?!zFVckViA<$&cP+KiNID{z
z`g$V-%3w<ztpiT7NuRtUwTT5{-K#u1Zo}$E>8viQ-S#H~YwAl*O^axFcYQl2-4QUW
zsXIl1ls@Z;vqhez#Bn#zmoA4`r_5CCAztDU2WIOIX1a3+r>UV9BF}ZraEl>D@@5+G
zMY}Ws{JAcnmyX1)7~$V`g43AOk7mAR+Rys2*ouI{WiNYOs0`rZpxhr8<E%2Ke^pUV
z_nZ9y=x^6qMd)?g_Eb5<6J9}H(?=;99~pKnd&<7&;2!?tITm~H*PUPYJ+QWL+u(<9
zllG_yNSb9d$aA#AuA{CKJjxn(q>8}tddRZ8jMuP}Il}!aE^R3;jr#k}J1ahr#26=8
zz3LU)49;SzgEW<erl6cT#-&j}@vzE(zkS>@xkXMq%AL3joq`^yDfA9{seO21Duu^1
z#X$%a5CttY5494%K|GsRS%x96?z^Aat$leNiXFuChBkC~x^H*dL$~K9QryrnfG3TT
z@4L(hyV&mePaz8z=F3jJs#CM+_8<4#9{pVkkSe$R1&^-6yY5@hTObK0r~Tg4C{uN%
zz@?d#0MA59=%}ig_Z$1V<83==i3`5h+fzi9yhSc8dxz#>H^{VES47GH?x=s!2d}-2
z<*UHHX~KfMH`Q^loM|x*;V>?`(mtI7LT4PYsX2H!05`N*G4oWrZ!w+KxeNV}7m(^)
zkQrEMtkLTJ<=965iR~uYiIF(lEtY!P<ImkW-CjJa^+WG0P)j0HXfUlA-@mK5;@&7$
zW=|1w;K{pkdD3udRDdzuBO_cX|1v**@r>VM@3Tvi&LPkJ-+%LmKYwyv?83&%jL`{c
zoAW%K12HO;(z@Dvb~d#^*wJ}-)4|uzFXgCLNxfB1tCajpdwHku4^f#!pb3zG)hB7m
zgzpVq&N>Lc|0;1l7|w>*%_S@ntaxhretPn}#wvV(A5=L|KM0YA+{C$?TCuUU6=)`m
zbNuWbC<Wq<Eq-{*gj6G2sNGsqcf2ag?ffk|><uiA&-k($V$5E}*uVMtlG!V=?;&kV
z&mWv!dA$yvOE}{nmcXjcg||@r%i@!H_>NW4%-Nf*iO%~;+vc4>#@I0HI2#2I?R0`k
zrnGk<vq-o_I4h6iL6us&>VOz7Qa`p^&t&(Dj#?lEBZG!J?9~yKXARVLui^A?5OzcK
z1y!YY-?iPQu9~-e+l6xF;8AQh4nJBgLU{i!cVV}`Z_L;kc5yM&h5VqC*gyDl3eN($
zzWT|fruty7!D`{LSuth?x)9Wa3_k}JHhn)%&5knfB~PZyTkA`GErJg`Ue|xmdR8;z
zN_Q`JU^W#<3!cE0DMyUC-rf*m7PS(WgO7jy{HZ=$4gn_=95@`F<FNn={f6pYsg~Q5
zr6BPpBq5Oo%D=d@z0a!D71BgegoaDMDx}yIC|Y=UB53`O-&~laPR|}J84eDJBt;rT
z`nq1~D_I$-s_rkJ$QQ6&S!D!$8ZKo`nXz*&?f$q_uNZsBp_;Su*Naa!sUFSA;TNY)
zovgKY!v`xHepeqOew;KFe#IM)`@TAHP8Y^BqR$nn<a`#7*qw)mYWCWU5LBuo(w!X<
z-{Uc_m@b)EH7`%G<~5=QpKYafW?xtKAjAKPz!MHk2lk+e0(cb-!rMVWH=H?Occqga
z?&fkD&?z$iF0!9=WOr@5YiYZn8$Eq^`mOYw0i$oKOZZ&3G<_)k>&5BnO`N06fU0~9
zVn%d}p3}pN<``bhq^bAExLG~}2A2CZ9$Fq>8x$gzS17v97G2xUahQfgsmiC@3=BzF
zdgp(3%pO2HTJM^07vH9Iir&h#GZnD9SGDfwh-_Hje7oM`zg-VZEiOJm1^U!+2m%B+
zUT`)pjv_jya#MGvA$MYL?+_O2g&xaRDZ7G1Xq8{(uyNK3uh+?VmW=SKrP`ub4$p#T
z3L3ga$YhJ`xE(esf3)$1|CrtS%CXJ0-cuj_5?80Hw$fzEZ&~cle%mf&MLZC%JpUy|
zS8s1tK>-fXHiJ&(hf2#S<_Pu2KRa(<Rmf;-Qx!Mf2;++$y{k&G-<j7QpiL3~sLwgY
z*NMkgv!0~*3u^w{>64GAbEJ-=u<lGvjE4kUYEhAPY;wm8Lbr`r&$Da%d#tO)rg6LW
z{?w&*?Dr1WgYIqHp&o>%hEMx!7EB?{m}W5}=$bsAa*$*UUe`wL2<lwGy26#pZhcm>
zm1}N&n-ck8>wr2?Q;uORTUcDgecpqaILyt0s3=%2V7>}G%`j6>#e~f&>bt<NJE@a2
zh~e6(U&7DT#T43pP#%cHTsg6_Dd%PSwzbSE=@!0{)Kby6lV<zpgrWXH<Tlhhg^%Sq
z?{4Qvds25s+-J{Oo-4%S&ZyQ7<)0I;`K)-$MxBk4Dr(YpKU7o|0onyXTbdd3-w?Xc
zge`-}nqZo`1lp=jcA2TII*1nR74~QE_XcUl8$%A9Lq;nm$RnBi9xAT3r0F?+sFdY^
z-SE1Q$emnGZu)J7e^$~YNxID7^wI0V2T}J66gMGERoPX@BCK^<BoeyEzLsYAI5ryE
ze|>Ge_s1TS&dX5U8}5E;ovoOrU})IO!RhSmEG{no*|DN-ey;-6%2rj^X`iuaoU=lB
zc&?d%OV(1D)nR`bY!l&Xr6@(t*H{!fPwsqGG&gp?ra-GC9-9!Oie%&1ga^{|CZ2>1
zsd*WEYqGn{L6mL(spnm#k&~jg7kw+bVJ;74u5A;E$hF8d<|)pT;^v!-Xxg{%C^To$
zpYjzRO4TvOLKYCdA45{ZODlhyXMZV4Zb_WUtdml^-3Ce1qguy@-{%S=M)K{s^3`s>
zyV23nz*YDs${XSF8F$b>TNyejzgiK~?SW(B9{)mc*YIpw0i|d2bTGbf^l9L7wh!-=
zF!b?ptB)e`Vhg(8$75A&L+4frA5S|&rrpkJCPRVXV%Bj&M?qoK9-LWR3}%f(al)6f
z!)^^vF-dYQ@Ebw^1ppFoYFGKrI<Ir0KdZtMO-}&7AkS?U>)6WG<xGg`7l*0q!TdOX
zL_u|tvtwuHn9qZ)?uksHNQ(zyIgMi9>MA{Er?Vq0dSRm4+6RtEP)6S!T8R4HBn#4@
z)}171TWdQpeq8Kr@$UlkAFUJp=u!Q_QdYMc<x%HFpYavLQU_;ma`kr|?8O6}%C<Nb
zvm(UaNJvO*&8>VI$<7#=;!A0m=p7vFG~#yLBH=oZsTd`fe;cw1Z}~9Biv!yD&@Y)b
z+?s{al$2VPB^K_YaQ4V$(soy+ESHtV7Xf|wbxg+W$7)0iBtM<c8dUp_>)rJ4CpZRx
z9w+nl`!mB9a$mQzgFdlKHHowd7%%K~!y_~Dft$FLTSLX2CH{G1U<B!HuVrxFfU(X4
zC)<aCP^t&pVw;zVV=H?!<W>)G#@~3%eXV_(FDQEa^G5R3t2?M@HB`pl4|;L!;N|#d
zWe<e05fk0oqyazDPMwbGA@A9;O>}<M$;SDYUjkC!Dbg0n#dkSk5=FRs_Rd~vC?&UB
zB|$}+>lE3Wt7w(x?^q_dU&X5IDb$eoOtn?pDBd(8FlUao0@CW3psB7`a|p<T!PW3)
zo*MlzSXZ9KZCC9pcm_zmNjvqtW-TJ!V3mChY0v6li*pi5kmzGcmGtyd|EIT~KkuK+
z0*wfWdkZB7=)sx$O98ap=A+M138sqb8tBL#?JcA!Wl5L9ZoMq|DM3>kbfF_b8#i@x
zBnNU;Z=t~5=Xq{CLAbgprR3v{f3mv{Z17IzMdcxxi(9+R&$@GQj_?;bEMg(_@Qvni
z(sg@-Wqo=P^yge-PFpoTbDn3Nfh^qxEJmNK5dphwp-COlUd*#eH#EmgWH<A%@-Y~b
zDz53r2kUu0y!j+WWSl`&_G->%XV(Pzy(izTo;NS(43aNNxZ0f&&sME?@~a7(yrQSZ
zDiS7raB;M9@rvhz7ChpQ-mUXhtr_GLS1ipwQ+i*bJ2!yfHZ@J_;T`MiUzU}ynWiK{
zUGcqTxs;z@kN&P%{<_+ZuRB^k8i~6g%FClcdTLDNh7>)3<fI?-%LF42GSF*0kuoVX
ze|0{YFD5$fQJr2bw{?eNk~iT}&gWFttXTNZHXIYp>V)r*C}M_~+AbT>%pKrjY(d1Z
zwvM-tJ#<Tu@d$BI4;QEHc8_o6VSB;c&&@U_@ffyx@lyAZP{=w^)bfeM)s(ebrS{}~
zzt)c9Bp3ts8)2^ut%t+5;P57$MPOsIr+eEusswO+`$!~%sAvih*-%hYcK7!`16A|W
z1y~yNY6%}D9>}38o0y#qRmf>=Z};=}e}MC#m3i>|(qMP3LppWl5F64fH^dt@ReCTh
z>cnj@4;QKR`l*w)RTj;gnmAwf-N|RFuMp}f;g(P^J~`1)&Xf}J-T$-e_S4kCi^?4V
z!9b7<+){Y5f!d?{p9N8q3<39KN};bwgaeCd?u{m%QZw$=l@r0=MYTmgzX*a8SpLp>
zSzJ!0MVdUL;`#-I%qpgooszrPy_=^5>r-Wp!~Vh7BEPq)mNrbr-bj^u)7@O3XZYNz
zi?Mv<lCON=H0E%1`r4<$f6RDKc{DoAUpjM7(8QOmX@V`D_RV&ZM6KB{{neG*eC^##
z!;AMYdVYSALJansDS}Adn?m<A8TTqyQzsLn-T@k^j%mY_QC(Y;-pY67akmT1GgpnJ
zah!Z2-nT}DKgTVNKIp4#S>TSF;EkzQih0?sim;P$CTl=%LOvSK1tqo?OiyYiz-E!8
zZ8)9TpE?`(LAog?-H-6z(c715E{a+g8HVpGU7(?HTZBZMZ-Zx1ZJ;J<5b1oVf6-m_
zq2KD4xd!g_^T><Xg~9t_W1YrUgM+`zY9f1x`XU8p3Pux?6wb;wL!I%h*YOXCUc!h+
zQEmn2lKhtu5fMx*EZ9l?{vo}aqN_rn#|l&hAY<iBc<bWg0!sXo^{zY-Vi(U@)Cv}N
zsuntCW|Baq>)d>CYrN19bk<RTP#gGpc0Y1mef<5*)ePt9f3@npsuL_E*Hi&3g>W$G
zh=7v8_SsjaUVHqqs<PxKiX7`5Ovpdv2-}qiy|UVL8!JDC@QR#FoT#yuXs_-$we-3z
zZC9sNzI!#7C1xWq%>a`bi#KN6Ahv!32fMSQ&xn9?>i%K(NmKG*a!RVbl9S!(%Euh)
z&dVMbrDj8KQz>0>tE@fq9c!D$^CXgqgzmy7yhb%<oMp`3ceMjo%Uae~Cax6yGj}aK
zzU{?#tv3052;S|sJboTABbqH1vCL-8ktP1dvt{g?<6_v-%F4*nX>h8<1(9g)<j{xM
z&_r0D{jI?6`!6fON*w9}SQImGWe5X3<`*cV;#x$vGRO?%q-d}wIIKJioE>wz%`@hg
ztBG5Wi+0ge;;95aHqW#lSczZ4vgdO9jMC>nwoG_>kXo)Y`U(<&!@5OLjep%9JPD;+
zLUl5S6Wn4@THb1ewzhV>pe;T0=8S<<*M$z%_D5kdfPMo4kgZIXrsD+~Kxa4)yY)oF
zd4N7VJe(tPns-IT{+8;khdw8UMYtaB`HatHjqMqkzwc3b{;wh~z6y51s`bw_-l@7G
zoCb-HH*&liVu*3@v1J1ADnbID)IAqYrSiIu316D6K0h8`nmnN(5d7AN-}rSe*m=Ll
zJB^Cy@VTjPj)AI`5oIv-pZTFLWWkBTy6LHX&HnGxjiJZa{vYR4Tv&iVwIr{=c<e+G
zo8Q)YRJP+@T5oV!C218E1!q)(f%<`GcfQdC#M<Vh!T<OzPQ$m)gWgn@8)t~(ygXqO
z+0u=aAJ8QcP>sm8?bD>yd%P{YrnAoQ;N1Vw>QcYYjH1`+Szz=at&MYbWHZ;5fHTW+
zY&cuTgMIyrIHvj}QDGM}ck|$F3Qbs9TIa^MJD{*y@BV8gB$tG8OW}-Xvup53Qo(6L
zCqUe^m?cM@)<pBe-9?OKH{YB`naFL;pfykf)CcSPPn0#gQ7xKtNs*#3QQK3Jm*;VP
z+)Wzu{_%a_Q3N7h&Bp1&6NDC8HH&S_>*?PNN6bbl(F9whi<8n)5l3s@o*R#;L4{-M
z(0&eb=8=6Ox3nXXf8b!tFb1tX?wx7RI<5wZ_N3i-6mV=M|1P{UpCQ6?_#!yT{4DSD
z43`z|(XMk}sn&qocbPxz!p4=b2zYEhhJwLIS$ZM~!W!7VNKs%)TjzbsT<%*Z#1GLa
zMnA@bQ-e5rr`6BW4{(j#CLg6zz`xkiVb;42!LO%gQ2Sus^hWWml|fZ#t$1HvjN}5B
z6&yP3%!-hj>$wP4oK(AR@EH+0BaPmO0hfUa<P^Xb>&szsJzR7eflb~Op4VEy3>i9U
z-g&%785|cvX=7CE{2^(G`^BQ3JM|^R$<mB<k9vB$WM?wn!Ydn%a<CyH^gO~LFD$~o
zsw$KQsk@l2A|9w*3TpX8iXzQt2P;#+7#hW-XmYsP9ZC%$0j>vS_+F%p@F{ktKro11
zPoMhs^t`dNv!j|mi5!~+0NoZ$>4O34=ulPFZigZGOjZj6GiS1kLi~o7Sl@IjXhzzB
z`wq@BKYT(dY~Uf=`|JBm)S%dI1=QL#<>+rL0VOyj@y;lS9&zzKq0kfH@R+N2F}y0J
z9^4rdn*F^NHeQLAH$B<GR-EzO^}2Ita0LIp-(ACJgT|h{GUuHnggf18W(6HOh#s~e
z`-h)Tv&Uz<fJMQ2_DUFHUTdQAM)M^ONGyV3&H-XMaG){@RE9f$@p?!qwa~jeopxSx
zB^qE#xeUFpTCVibZhKE^xK0+9dD#$Ok$7sa$-WQ5xl_f#!ffG{z=SP>IU3%$I_G*4
zOz^k-m+l22FGvSSrkD5m>y}NiN<Lphs-Lr+uH^01r<dgMQUaZWOKRBoSug`IC@M4o
z-9l+6jYUd8?k5UVFu%U2EOzOkRk_@DU1x{SCU#5E(lma(sP%O1qmJogLKZLP)cb4~
zTWeUZg-*WG=5isk*_&688nMYwm=|)RcMebJT0PaxD!FNEjW%g(vsL<|ueOeO_vc+i
zV*nHB(`?RX!m%@6Wi}Sf!*#&Z-XrgbbFjC!U#atWjtje~Uk^Fx)WFdX^)C*o9QhnP
zHrdGb#%99F{L>8=s3y@O(k{a1>@^nlwE=R)LJ@fCv3BQ%;o=j(U+%Dvhg5DQEg5`=
zTI)nBHE?{daa&ZuBYOjkomKxHCD{`jjUUY5Zk{^U3b$aH6b<fuaOJ0IPY$tAd$bla
zdZAfv{-f-?%4&(`^>r{fzn<r9tcFmqk?oV!gw-(%RIutsZwSOHdD~BFAM=HcPmix;
zAJ={TbX~M~d!nb9vet%NA@Y#sdHRtepcpGssMqt$5mT*RY3c3{?2;gO4ue*8%6C2t
zZ49AoHo7+EDb;kv6ydQY>}SWS0eIAzWo19jXaq}EE@Rzms%AIy3!n$Fbj5|UeX~m4
z_uSm<{{OXb`|UYJ4grD0LN%OzrnCiB{a@{K?S9aRB=Ph(Qa*WkBUN>~DN@>!nzkFZ
zSjoMz(nB=lMTE&0v1pGhL;ja3vm6Ow_Nj~iO0ENgJ6>t|%i{HVf)U#{U35bJ5AYUe
zG97x7Akesh;VIDj+TR<7p*5LV-HP<})wU)Ra79}zXJ<%c{K$<R#J5?yo^|}dr?q7Z
zo}PFswOI%D(1#*O-}`PbPr_7oF_+r2{eWu2)9ZeV+19!m*qtW%PYGX#COhbDV*35S
zkD^1X9zA}X*Vlga;qZZ0UWCr05&46ryhN@k1+TcAY3;B1%N@|01N<Ym>s;9L%ubYw
zv7xmWBc$fpv&i-Unx%?YFh`Wig%@m|fK~w!l-~RCX_^^A0*of07<iWrIgA)cnOU;O
z2?=YntT=4cb4uMmt`Da88_M{#;RpwI`ICQ!^1re+Kw<Bl(dHGd`_oQW$p(dF$|CY2
zE}p~Cfm{6Z)E7*VhP`}+s;Z~Rka3|kYPQhA#IOVwstGz5<hPY|24Ufu)Wo|a)@J9o
zhq;xBm)Eks&h`_B*1OaEGm6NFrTk2*Wa<R*-(qXNo!faj?M2g-FzM^#*B?}|wel1i
zrf(yD+Uy%{Qtp`B$n;|+Dwe+Yh^YxYExYabjtK=Yb0)3A<A1_XXBQ4r9swrBmEdX=
zs#!A4bb{VCQ_9Or%&;?jZA@M7852{E<E^s%h^(R_0wwVQ7&45-4oaJ+%*>lA{V79%
z)i)j$R<y>BOld52)_OEIG^uSE57Nrm1X9AI7vJ5Kube?lPU1<Zdo!T({nS~C^|C1&
zb9nsG!$v$j%)eJ|trdTymwxy3r#~SN{#9mpyFVh8RakS3h}MBE_xD7EN>;O5O9xDg
z*;U=nC0G1^b_r9MH)Wxsf%?vizlEK9^utQR?J=B#-r&Uad&CM805b|S%Y!J&BbA!D
z{`bA89S)KTwW`V-EqXI)z@M{=i}!$Gk5rQAx&{4<{XN+2Owozn`4XwNh=`(VU!=iq
zRX9~=3QHqo)0RZ_*-n4dUi-Y#j9iG&UX(G~uf*-}DN^GxVlGxr5_N|UbuM*$!(!nS
zLEm&6k{{m&0Xb1p1u^Y(O#A$4N?@LbtNFqjo`oWyBO6-f_L(XeVI>01Y3Ex{B5|tX
ze#iz$%y8u8<?%!}#|yR2Z`@^Urbez?T3TEHJRT)<B?me?FE1}Z{sA0)X*)Y^l(>6q
zq8L$FHQzE;u~p=^syg~^!t$fr+fGEav$RipUurP-iAr>&hU@bE6v;i+RLZu1y7FOW
zEM-xkat}X?$&#kOTJYjg8<YMq@fIVSXn7SSRNXtd$>?Vrp*WsE31d7pfq?=v0#HTA
zLFlar0FS2#PXWk40>qhpr8B~&VQV(Y)z#H@tFY=2_y(d95?;Hy3Xz2P0UiOcRdk}9
zP(XW8`>glxSM4iNksu`gb}TYzq?PHCM~N>Cn<(I4!}R}L9JYxl-DtxM(2e%-vjii^
z|6RUu6YrZvAN-G;WYvgN_rSow#pMu=^$|tr&-(fuNH+L&;L;xMx8n1d4L!-0PwD_I
zm(F-D!+0nR&Ttr_*APEnMsNWNZV;iM4LQ(nvGwu(J%pmu>*(vak^t+*$0NHt(hj01
zW#uLHFAj`2pth%zOv^UYoQVnu2@ZDIZ^k$W_ee;;iG@xDL|8b{pw%CERo=XN_Xylg
zqobq1yCJWjfLG_V(_+bw&W4?XOTio1c)eqz?N!sqV;S<Fmm^v$&C(w4f?$ib5%WuT
z1RO~Fv?yh;hs9t?0R5*NV83>8yQ1&obD~TvDh|bm!c%Wdx&MwIxGwPwgpXKfKL`PQ
zak<y9OcaWUaK4U~)bsKJUECoC+NQV&|IMRhVI8ne3-kra>o~{!cZuvTv|;HwL|Ivx
znIC|v86_^Ln9yATcTHwV$v0s51AI7z>i+S_+J&*P82drdI3NOx6tZ9Miq+OJ(@|qb
zgui9v=lv$CA`A)NU_dp*^ZjvF{@fvQ<wn{AoiCosyk&Z`IsG_fY)Yx^lQ_ylU`@Mj
zg_s}Zc?rt}(*+zN@d~v`$jQ4=&KB^J1_nrri6Ud5J_A!Dl$DgcyN&1t1>=W?-l2&0
zqq)inyq^d`pF<}`k815$HA%?Xh+CkKqSH!Cv4NxX(N2uAy3g=O1991Z-kWbq?(qk7
znALwpO7j@O2g<=jT|@|Zp~*WIVC`kNJbgIKx2>xw!p9dgI;vs~KR1zCCrJ6Gtmc!E
zo50Lm`ov=WA;z?-ZjbLTvsuTYc-4HAVEm%e1%pVOh@9L7Y$kBP?Y5;rDaIQ@#_R92
zThMG|z7pL=4PX$mVh5zgxML01vn^5b=lM0*7#Bt`Mj&W!yhZ8P@hUTo@bj{{+w>~`
z5CKaZkR`DxzpW<~h6FwG{Qh{uv(JJ>;7(a$-RA<1GVn;m2t~I3&qz{O6ABJ5C?Ce7
zOo0-U%ukF!3O=9!!t_&sj<z?7zwEnX3;y}y5%F{DJi1{4;98U<6&(E*j`EA(PYDB}
zyd>nq$yd3@De-J9zJi#{Lzn5`liqXb;&fj6(2KtcnD^2jB!Yo-2g6;Mhf;pz;c4|W
z%KIpO^cm$AJ?Q)RSgMnuT@IyK5t9KzZ(0AEkfQzd-5s;Uj*3qVsE_&qUV1mGzr{r(
z7ZATCA)u;+t~wG=$}<bzXv6-;%RL{v9&^rk<9P5LGasPilJG=b_Hu5(&0wBf2D*1P
zjH)vqi3jone<YzHb?zPRWBG?NQFj|6E{tt@IZsDx^}#ZFc7>M_UTiiDZ_T29<zz&A
z-4HWYE^6Vx|E(-!gM5k0hg377oUWe1U|C1ESSry<T*d{Nm<T+(WiElM4vVxS6c}BW
z^nsD_tpOPY=g5EG^e*U{N{{dk^<F#^7erl>(dM!jf0Ggugg;a&5QZcBGb}ChdbR^I
zz*<xF6=>#~@jqI7h6IBU#DB9@Wng6ifjid}>dPvFFWWl4H^}gk1KbFmJv^g?dz7dF
z0@#*?!oGC_*r0;&-}NM&)X}+D`?(4A5jJ>G|1BKH{&x4fMYXV_;I8m_nwG=7Vhx7v
zL=EUx0+}jspJ<j~N-2>Mc@&}M4ES!`7wcUJ%6y*Q*!S-(lHZqt7#Q9NN(}>o$DfRE
zCg}hVG$)@06<DqXX4^T`=bECF2cIbH=3zq`8X(kQXn~;SxWI-5_g}2iJQ70Be^SVQ
z-o0c%7!@^33|<zR_}`nS7wgo;cGALT$#cZ4+T1Q|kE0`_C-^zn$6*H>e`u$?(!V`%
z<|v}#4vkUQ?wp6t4s`Nxth^Xh5$D!Urq(zjH0}WCK1OK_d^?n3=S3nC^YELMz2x2#
z;FU|3yMIV&!C8l6(A9AtxF;mjo>0!8C~?er(FNbFYCO81hoxsT-8+$Va`zD_L0=4y
z45#g9)-0k+9!BQGMs|@X4+(0PL%hR*R0oiarCec3DpuAproGO1eOB%EN1sm!68<^8
z!Ljkt60u_D-iNZSDzE{9+lIzkwc86-^Zsw_L#E>A58hsLjuRD^lR9-yLVtfR-z!QJ
z@{jlO_Nd^B+HMJ6(H&&YT@E@`M_XL_+jI3=LeNwj3v)Pwl}5~eD<CX;eik?YKHenN
zgaGPs?IlAX&2C5w+uPl^zILt^7bep%RAiafy=LHPEi#Z?OaSbJoPYaWZykmJGT;o8
zH85&ZNnG%2E7p<oyeo#3lIDqoCHRZV(cCur39V>VUxKVoR#4}>&iwj8zZwf|(NueY
zg_Dx#Xa}$rpa6;=Z^=yBaE#W!2!d@+!HRDIVN?!e-FfozbNjEsx&Y=!zPX{A3n<Ze
zhQ79HGUItvh_VIQCjJX=atYlp8-6C(W}s(`17rQhH5EUGC@X6yYG=sK&gO5Vaa|>l
zNm08R$PeLYlFIpfny&{s8n5bfx-N4=JJW8xg`68ZenT7jLi7p{?`)sh-gwV)xzW!Q
zHzZK2&-HDs3?TZl@96AfO4__jrIfU`!nK_@Ks{L7Ni8b;>LkDo+j>z}3hn|036yu~
z^mQ@&lgU=fePHyWa}y1idqoS(oItJ*YKy;J3zCwOvJ_at?S`vWzSB!+q$EgOc(*82
zP3UtY$0M{{w>k^aLKTCSzUQ`*5zw}86JREDaTApHcijBNf{T4?cTa$DX%?o46>m^`
zb%{1vWifK{n?2IXGp3N#J2YNWGx5h?%8a*-=IiBj9&Y%TA0cgbolwIqTsgjUsH4K7
zZoh%^kW3f_%JBp|a#l2302BH4ZD^JP8(Kph1Yeiahq2rb+Hff!muxr!zq{*oY+*8g
zNjp$~%Qt^vfPLRz^8v=`N^{Uicl`|>zaCO1HNll6m(I?#qFAfe9RnOc4EkLDZ6&4L
zl;Gk?e*jv`z>#k#uau`+j0qUf^mwowWv|m!9G-@B=i>s8l!}@fAvrm-`fuu{|G<?!
zg^J6|OH=Cyd$TT>3@cgHmt(~m4f&UQCId8)O;@jTal%5HW=5!`lsFUEjEJL=JF%?u
zMGJnas&%4q8=8=t&)C5VYkjIPXH*EKeOv2ewx=Jv-7qwz6mDo<QexDC|Bn*O)XIEG
zv8hP4B@279)NpA#Ts24gs6_(~xEcpu-e$%U;DaVJ{$Fy^WFRry(9m#ja^j?7pNT#o
z8)9nY@puy>IQe}tdcmaa7h(t=+9Tra&aWB_3CSd#L$4xnA|jUWSTVNaKJXeCTq~TL
z=`PH-eWS4SK`R*Fe!b})plXb2hN4_pW+1u4#*k-_hWg$$%tmon15t~X5=*-GtQjVp
zc=?#K*dB!^WUKS9j-U|*95JJ{_0*<0)lMSyWWRRvm2h=9@Q$Db=i!K451S9b&e%E@
zE^KaUErqn?f*+m$r1{^^YC5*m<RR9GhMKs~ULIvD>l%U9rwa{rN{{{IFx~>WJy<SM
zOUV(GICuw`zVT5<PtVRvAuTN@y&=6_V30mCcN&uhH+5gKP!uqkqWWAiri44I;|~XQ
zxJWq!)Nc-&UxYH2mordzf<j>_T~yM|30IUgEV4K4Lq{AXx0$7-$@^Qf8_y1HyxB9R
zaqa5B&Xt^~=slSsYtpYyb%KyuvjDyTq*qElYwOfS;-LvTu)~zj1D~n`H7a3p9*qx6
zA4{+9^#U22KX8-+@3l8@N$J6^`96L6G;7z(rlO)ED4b;0y5W2CmYSmTrUeT=IRx=f
zHz8F$oH$kceBxunxj8_3j*!Xke({`%zAMhpG;}@SS%}7UpZwKUwrgJ?`Nnp2Cbb=9
z4^TG!MeU15<J29Ue2>&q`rL_iKxth3h)oko^6u&t)Ae1tZDV!s8(`0jiiv6e8K)cE
zZ?XcA2KWGo#HvwtFRFWWBXs#`YR!R&WnM=ihX+_lC$5CTt33p@_Vws38SE09)$K$g
z)@CN6-Nf+C^vij%Q+mAlGbXQU2fC_=#FsB2B)vp)HpZVGfO;BZ04jO-Tw)XK1e~M)
z`G|*QP<C6fjx!p-6S$!;Wg^I&D09ECv9x3bYU(?b0@g;LtT;L`fgF;+kBp9P17Z!T
z1f}FAqPYI%!I`Ky_=Vr!3wWvEM7U48$o}|g@&RHZ-gdB8q|R6r!y+#bA7@?Bkg0S9
zzpBJ)slT4no!zkI5&|hY8;h*zL1r1tYU!2#FMouAEG<y%EozDAV%f|R$=j9Lx3LV0
z6^aM>oVGuJnsO_tp2sU-b46KPfsx;M^q0~VSiSJB=Uz-g+|fvxoNsz+t$)^LlBsj#
z$U;r#VeTyIVn;NFHs?@l_XGR!-GOHL5iS9-pa_oY<n67!)tU0*kHbSs8#>gLblw~3
z5*SASR6_QbRL<4<8)_?iuf+T*@7bu~qlL#k+781N{{o}{pqAm7P*&skewk?2Vc*9Z
zR>ISIc?muV6M#MdfLDUo^#$<P;F%1j_5(GXjG9_(mIA|<xZ*T0L~Hh{#dIM2kCj(<
z-%8P~M|-Hd?ot7UE+S=3i@AvZ8`Vfe08{@H<OO8Xp+8JS)Dy3}nR_p{&gzA5D5wz<
zF&G<3=#^*CQ!0`QEPJ;6i#7i~6<-tNA@nqsIViYO#o?7rrtgjv<~fbW4NmQICZ@-k
z2xVUR5vn;efDA`9&IiRVSwUx0U0t1oO|y-qxPEy<`B>wD&m9;H_TJi)FfMCdcfo#M
zg+zg}eFkc?;um2Q@%qbaQpV4p>|QXm(C<5;ppuEKB;W*opy9-rwmsOEmj~FiIc$v%
zbV1D-W{LjYCI%n@?v-;wsxI;O<&8}pNHXCJ1so1XL(Z4?)lSG#f$0kEEiOsy+cWRl
zT4B%<0NafN-KOHzIIZkI%5ND-$VQDr({%YB<4|jooR?QhL_q!hi(Vy>!Fv-fkJ}rJ
zDftTt3KGoZ^<Is{y&RnJlRd)occb(U67np94n4bnK>*+-th)8_!1qZarBpIyspFU@
zhLF7P=1>A%xH`vIp`Z}j@}5XZE-?+p#9i!3U`U9jkdrK-6-EK&-{j#GJQr%y`Zu*n
z7-EuUH!&16D`tDwm5<L-OuK7!@{Z(1#nm>Sd{%u%q<jGOSw~5%P6f#EShh<{P7FsA
zDP2WPGs?5j-lwO9D<E!sA8%w<xwu}ffr&}W?Rx_Ie-)D=+(p?KlY1F)4YfUZukU(z
zZ844Vm7Fgch)tIy>9{`IuH8GTL1PlmDJI##ORCn=)m1PtS+~^#wTf`z_D_4z5RR8h
zizlS+h`gP-jP%S{m`631*gf@>a3mAn`mC+b>!8ifmT!^TQNmxPLlTb42*swWl5Fsd
zArQM_r}ZWm>oh^{;122a`g1&)4(95=4#{!f+pd~@$SDX0&Y79}lph!Z9uIGHc`a*H
z1X94T<Rt7q-ev9eaXSt!*%v%@6(dRC4b6YaOpRI7XOKLUK^j+m+l87^zrH_t9DSGV
z+P5Z4IUe#Nfo^yyS>S~qQU<@nvLeIGG$TRn%Yo-mULDf#;V{FbYI?Co`Fb@pd2Fon
zhIV6v5(#8~KeA7D?)w8W1<GrFel(&8`tI$Zz24R)$=-NnXI;0$KRY)E8M`^=>3l>)
z*adcrF7`Z!cYopiU@NH<^BEjBMSCQ~<LmdSHGz=27tCUcr=ae=&3yrYU02cW->Ob5
zb6TF?H*{~ucz`@iK#W*c*v<br6?7x?2IMjkd)hS9UGyg{6LFLSZ$H{K8a+7o1#<+t
zaSzJ5J|s@6CJn0l&1h)BCxmDve{Xg!>)_yrKI7BJs<SXIWnU8XEQJn_fw_@xiDsT?
z5xCF@>HGvK4$nVDr@&axQE7D89{U!J{;o%j$027nZa4!w>zx!Eti-{>bn+oqNb{Kx
z?=4zawAAqF6knT8&Pc_!ZC5EwkXVY2pFbARMk>9)9Ul4Z+mM@wUUXX8AfP&T_x7T{
zES@kdpE9$yexTnLNPwE$*VNSHROM<UJ2SME`jl5NkT#Yzd)UaNLzH{FlR#unr^e_n
z=X$6Dz1RyfXLWU6`Br^Plg?&(G2Ob5Fn44wjoSrI*7ieKIn&l{HJOco0Q>nK#`X*5
zouSJde5$UW63XOr(BPLG#j$kxd2e1>QRmy+xd?bN1#JC&_$DeuNz@x4pB+s_6s%XQ
z=X>2Jr)-S^-D&?!ToCC@(SD=b&CJn+Y|(u6Jk~yj(f*#N+bh6)&85xD9;4)QLA0F(
zqK%4bR&_^{|Mj_c@@MEIp75%6<|*JkHm-nlR8v!Pi?*NP_86pDMsS)zlX6?2+>VTk
zlaZ9Xw+Fvu2LltORaM1q&J0m>lyGXuhZ6le3!bMbItZ7|O6<?W%(K^jC-4+t7u*Sj
ztXich#w?ZSoZK1EIC;vRUu|aDxM7ADC9ghM@#BrE9PDIV*C&+{`P58x=ema%lj{0K
zfJFGJq`np0^nYiy)e!4<7ZFR%#H|5#Y9H?g(a~KQ96c|h<|E8%7gv*@TOi$8t;=*M
zup68G1lowfCg@7KnBb6bkq-Zpwh?~w<&kJVO3*htm~_j!uv)TArN44>mw(qrqpD+M
zE+(Yor|o#4BsdV%I4r+ggz)y?i)G~<In}><^iAnorcDXx4lcC@1cit128%QRuo}Gk
zctQ`q$sd<8p3|U(tN0dF`c`^aitp*S2NU-t^5yI7(A0dqiJK5Z*h~x>9v4ZxPj@DQ
zH892XlMQSW9JEQ_1H%XbN+U*InxBMte;}3mM;tK(l08yyzbo}Ng1iedGvfMj%sik9
z$|@3ipTVEU;3dwIm>8RSKVKM@GIdfu-r?&T#<IVP3u%qzB8g612+8opg-cRpQ#NOF
zk{X|R=OZBNQa?rE$2UH$OW_-L|2p4hV?`VyZfC3zVc6KKNUgbdBH3T$9tSV~;l3+V
zC|z!ezS60$J7eYQi#!^GZ0OVmUvBDy8L0)JPyn>VCFWy!E4mZBVXu51L;?&B5EZuq
z4#~{eZX~peI7W4&!86|Ll%-5Ho=641g3JCT6}CT)Apoy??b19C7B3&`f#+etyXJc_
zG~78g6eIk~Z$zxI1j48~V_O4i4t*l(t~{1n&4rlk?%C4^06m;voLn!z8vw@n;QlOl
z(Z5*Us%2J^SS!-I$v)NywUMt*z$H#A&)l}kF+l;rC3WU#0c`2$DS@sRD-`LJs7g6P
z>qZ<^<9_+7v*2i#3!|Q0(w6p4Ff=$b{gYY=ae9K+gBAC55=RTMVbKe7@7)sBSw$Iu
zrT`L$`(MhzrtaJMJh(-}G^HJE=`DwAy$}yP0d-OuHv|UrK+03IDr|@|q8z#9f!1=@
zqx$2zEb6v4Gb3wlrFU^SeEWuy@`LiXUWj{Tl&a3!>Zp#P*R9cw;78W>2k7dK61I5n
zYFWNiIjtR%u(d8>+&i-$3tV~|5yHUy<a_hYb<HzdJic{lr}0&!)Dj85D$Pc$Wlj=k
zlo#arfkwFk2N(_ZsWuA=NKs3*0};2PcB1UT;Yqj1*HxqlwANJkrt{$TJ*Va3)78V*
zt?@DZfv=XhsxMi=WI;T`a=!*Y<4`P5+(a>%6J1gi)h(sOW<hLJ4;!Ie_`-d);?JM=
z0G*48g=Ky!<h1s<+-)Lb;65>)vf4~jqnK7Nc!eln*h@3n-}ut~=<q{XXX5Z_f<d7b
zpsv!4jQ2Nh`oy^Gg#l#4bWk*aF(d{FtNQ5f+*4e*vIi|*0<SxZeZDU23UbCO4uU)_
z4|sSy9;%IX7#I>;^qw5pHcR&;;VQhDIaT2$eY7t0Xo!ww6YC&pcLV?7u<{l1ul+;p
z{k8rWE!n|M4dnsQRMWlwWWS|mlgnkG&2LM#LiCZ0?-x{f&Bn|NcE5tE5O5lAvB#+u
z6xiBIK>^Kod3nK$SxQPO<)}JKkA<CGY>9St9Y`}(bu)}*DVyZ<u9pLUWn%w&;nDak
zWUtBy6iuX)VNYOW!olR|54agKp)2%RuI3#YRQ#i*FK!>%Y)>mFN$jzZT+fQ09erg%
zt3GN3F!#Sgt=)07f?bE`7?^MJpEk)4KI2+RAmR7*7Q6l+Xht#7CjS$t)lKFM;4IV4
z5zp$BewO@BYSelzEY;a6A(k`nUctK6x>6OU81!204{=V_zXc#lri|%HUJ5cIjzJdN
zxO>s^Wu=FPevKtyDH5ihp=G~6h*X;W^RE6MEO?|(U(|QJKJ%x(`sKQ;?65m(+Vb)7
zapA(&F&OFMd}JZhh%oz~kr29jE|-IY*rP4pl6*5v4bFn^Lc9?Z*L}#V(7OC^S0ZI0
zQ%kJZ!x>iw8_$d6DPL!G_Z1}*!q1HHS)8f1iD#;>KW~a36<N<7_g5LIst7^`Fje<3
zGbmhMcnT<%Qhph}W~i~7<m~8_<lz@g1#%D(;UmIeoCo8GwNh43rWk_D6v}#1SL5yD
z4V~*>W_dYXA7sA6p#B&GCXz$spw$Z`ZDn~+lWx~6SNiUNxwq<p)??HlBS<bx%fXkE
z2BO>2vVFhZgum;uYO2PQE7xD-n;20Uf#sif+4$sbUxuD)d%hp4w`m_5?MuCS51)<g
zKGd1o{>BzAB>)P^0WM%5+u2Ck&FICXKIbE9>i)@SGNx?86K*Y4uze>*OjJG&@iA<v
z_UQQB@vM{6b{~xqH>ll2xjQ$1sdE;+z8sSBMtN|CX4MDD!SH7y;&ywoML=T;G-T*z
zutKKPChgRFN5*30{=66Bcor1xbzS{&lCy}6A1A6`yfP!6_^10B5LCR)>w67}RPWFo
z{FN>^9!sNt;C~Bz_bb$0U#q#^;zlqv7t=D|S(;52@iRG=ev^pzU8ycyry~EIkSK}L
z;}!yiaZpE@x)HD<C<+dz)VsyWsyV%FV9hN==q=p*5hm345XT`^G@Ekwe1C|>nA3JR
z`qlp3XvlElgv7|D{*I0(-7o}T9WX&>rEq~VjESQt+-qm!l&ZhA6&)WxVkPx-#QhNw
z#miSxh1akAMt0bquSEWY-c3JsKrAy$B=87FzEYx_6*d>C3Z;^<Di3074{#N*XKH**
zA}GWqBK+yWN>-)@2#-+y!gk`6a)zmXqlz-iPKDT=Nz9kxpE=dTs0NPO%-*ACl2ZtN
zsrx?oGq1+`=r5HRwBB!ruVw&uPJ)VgKtN^N^uQlK!nF`+gP*y_mK!Pd?l%JiP0drM
zd&;d0LB}*bFVn!B)LOp>7P#kO<lDc_gJwH)2F}RD9dc36($d>oGQKofPc%7vYoo0U
zansIC!X&)MC7Vs9?!|-Tsa^Y%j~wRJznl^`?l!<_`;XAcZUeR(*lWLnnE8mDeCone
zNr^xr08ezuR!XYTYUlHj`}9_AdFSC|UD>jQo&j%y>uHWv{pAQhTF294#P?6FWW==n
z3Ft)eL~()b<_tMMg4bqFkq3!$kDu~8T6D+(jjGkOES9;2#?ca@p;izYiLR<DaxwDe
zEZ4ZE+&(I*<_VwQ5<w(N62Zd|U{E?GsG`~*>=W>z(vV5D(W$`a&x;gFIOVky;%d>h
z{XEFBpv%}$s@D(KIVIect2KTG8bjwzfOC*0Zr-E<>b|cG`7Gq{54{G|uqZ6hK76Y#
zl!Jym(#fp@twO<8^2lyL6pi+I79)Z@1TC{o62|hF(}|tMYezQhu6DoscIQ8q-o6Qc
z_To7%X`_J|{8VXVQqoO<AkAuEwH>)@Z)ZNNjtV&dW4hrWtfKmifnnu`R=$yu5gKTQ
z&My&bZGrB|cj1x|4XMEjM;M*fX_a;u-u}UA@FqjN5Pj-d*Q4*5m$qB=-2gu@^-iS;
z%>A8GRhs_k>hI@|91RuXP3%vuI%;4SRaZ>Et7mF_;HXA|W*|1N&G%8Td>Mm)mP*pD
z@tt)7C!T~o&t`i&Yw=85PZ<uvfA;|pMmzq*(5PQ(r1ommP(2s4!JtJ{I9LOjb2Ys+
zFAoDD0Bf~WV6JG8LGi!?s-{D}wl3>5%Gz0Qk}UPm&#d_0O@!0D>y}FHNzhNiqTV=k
z;x`R{kyGH$1ih>|J|LG^Nf2;)*!n<{lZ7pHN`h$UcMa-Zq6qCZ+H*7z01VN>@-VYR
zkWmwZ>?1yY#A4tG^ffiAtf_fS2aMKwVmcd&K2d-|*6Ql&=YGD45{Jz{P8AlMWc#P5
z2;|sIyny3Vds?rM?=LjEj~#eCC!eq<CwC0_KJ=Iq1!IPy#(L&^?8KlYarmdZ9R<SH
zs)vshMYoD|!N4m&`vuoH3Dq$?i@K^rGNM+HV{>Q29yhy*f-K4Wg;a+*znTfs;6@sc
z@^U=5m?J`?ZDa8jxTDsm9cdl9g@Dhv`s1P*80PWx{a%EE(hx6hR{zTkt`HqQmhL?0
zK?;SkkKZ#Quk@lKJOH0(?`BHQ5;$e5t%ZKu2SCsbQEF<fKxIv@b*rNZ47(MJv{Ktf
zWX{5|<c*smdx~K6%)mpmiF=RRLI3F`&sRR8!cB`Q_l6L%|05CRU>yM#S*pu2rdq*=
zSD+vhoT*=NQ%Uv?pjd&H93*=vu?8h@*aZ0QzMl6$$`>`>xB*DlN=F#L=j_H$Krc2J
z*z2~r(ZCxt7ig4E|I27^2j@Kl_#7MVP~9?ai$*^yYilM{vfZmaH7nFS{Y5=(pf#hH
zGi{td&Tf&DWlrt5*C2rPmGZtu*(n~~(?;kol{|Ximt+W}h%0Y*0|JiuE%`Lneu3w2
z*23h)REVXhXAH+U^umv06#o-kN-!~ztG|k^L1)gEzl!y>*|L3^5CL^_kHstBpZRIe
z-*_XVbUVf;edF+VS2rr$6W#AP`Ub(pMlJ<1syyWq6Q>N*vjX1yq;Hf}FjJ$#SP`Ej
zBK6hQa1Y58O-^nks7~yw&r^K(qsjEf|4j2Fv(y$l)S>T<g0B$?qb&zheD5a=*=XWh
zh2VP)ySadElDCT=cu(h-wcc;?j^}aXSHv_;>d>*PXJfzFR_9=O4O<sq4+NiHq`d5;
z36j)IE@6p!*Uj-*uTGcj$DIDw!^rg8&glw^1TMn|fIV`{&lvemMa6CE7bxV}9&IQ&
z?M$~XHv6!UTH*e9_uOnG8+W2er*(KZ5+G%x<{R9zR9;NgI<oMX^gUr=3Gqh9D6?6B
z+f`jIV%NA&C{8*rq5~BI`So_h5BES0(>p)jlZ_5UWu(*}I90Sxrk`0_dA*_&$RwQd
zym_#7SgdZ=zGuatmtK*A4o!v(Mj-xn@|nb}S(*0UYgBV^vTbgjEm-~W`lAB7w}$g1
zg{SvcLPbvefZ|T}NRc<hl(03y>x84Q-5@W2kgTfm$Y%AmJvJoN;TY}t^Y`BvBj}%>
zkVz!=7uf4{9joeWDylfbUOwFrcXaE33-t<zKci<(S<;KMsSMbEu9F*0caw@^z2Y5F
zPR;n>LiQ=)YA`+h_djMPaHWC<T}=8{urAP*HJhvDv#Uu)O{f6KRxbS}wD-!&wCCbF
zARa_9%6|kJ_^Xo{8w%`t#-Py9AL_-rlG4(5+qaTm#Jn*ATMn~Um39AcmP~0`*$d|+
ze5Q>w*!f+ZI)2l>4P)P_(fLTBjK93LW=++)UJeIN?E`<CH?o2^3UI=u{mT!{pOgwk
z=-HF%8$@`8A`jPOKag?QEU1P>PEgmrXJ)7uA>UnlE$0q-dvtqFsP>{dE~V?BjnXm*
z{<1RDMAuM9`8%@HmdC0ITmEX(Wa2TYvYcI+eQ8O_FVq4l>1-*g82`6GrGEt0&%Owy
z`_5x~G4T|ec-f3e|D4dR5?4p04Lhom<h4BNnz?iTGF@DP^*By;i1rYOc*;JuW0~|P
zwnsp39)9uhK?lH)2#<`8_V(dwTf_Q>h8m}xM3c-SZ-Cnb^Vu+GDy<mk>F?&MyaDPF
zasg|q;)WAVznm4(<a96@#n-r(soZnMSPbG(8?5X7PJLtR4f)j1XP)kEi(^A15;{66
zFNmiO@3J$sl^%?%;z{|&SVEiYh|?UmBwVB^&~F}@cJsA^iL%4&DI4Z1-ch#b4nNxU
zS`z$ReSgT5B5#Zbo-T|##iOxW2!x&BCfaeWu}3Lbxm@6B^1{!JsiNomERR)FF2#!?
z{(gjI=3SuEzaq`+y@8k8a+R8l(?Wzi<yeI@W5mU<?qqSv9$mkheiS76_03P;%nvH}
zP3d4MAKV*oz)cfaR|f$!b4e*F)G{n~>-|Cl&DV{Mjc*AF8s~vqK><V#Iyw?3+wMup
z$#*YchXIumMCJ*xMJJ(~n=<Z-rWEnSq(aJ%nS<WEWf0-_6T4ySVt<}KGuRlJ^N5Ex
zuZL&XT4ZnLdu13^DK9r`YD>NfVN7ImX^DG51L0e^+_B#2?Gqtr64}6S3Vyqrr&6xm
zEllkH9*M{eMUfQQA-}(w?$gN;X<Pls6wfKU8wzZG+F>Wz<2MJ>TVhA27Ty6_xY8Hx
zan9XX#Ir$iOR`-${Cd?rQxlC7c0c%JbmWJ|G)>sp+3|>oqP}yC<Zy9w=c(&utI|Cc
zOvIy}E9K{5WP>QqEIq8~s_42`R49h_B{xGX%l+(6u@!crAa7HHk_5PzS>rd)z9U~a
zv5I^(Txw?^i1qicAIc-X*5duC;q#!+Y;W+$$*P;>#iEG`E5>qB36!5qidfNBYh5on
zIZdu!-Qv4_hBd)8=Br;qwQkkiwaRjtQ6o}zMfck+iZPHAoBC+lRs}8@Nwhke)r&hu
zA;lr0_Wn-y*FLEDd4H?AzsmHRqWm4-=$j#29Gq|6M!!^EJSBXcFtd(8L`6n=gUX|D
z0O3vPr;+=@PUbzUUN;_f$I+Fo1m?L^3CXG$9OZu(jnOIxlS0c=h?!l_HNy+My1#XQ
z@H(LH<<PyC9^)fQq<J~qK1TrCV*G8fI1nH<`2BhB(<jI5Nm=ZlnIO7ZT&&16=}Uik
zOj%6Bzf-}*_UsQ6pIi`qea92OMR7Pcn(>%~m}@B@PeWJvSA5s1%!DrO_&^d(>bNY<
z1wGd`*kWAFc8(igl4mu1xgVy)^2*uKaSep}*#`Hx_5P%|njN_3|D)+Dqq6LpE($2!
zoze&b($azoNSAcCbR&&OcXxMpcXvs5$4yH&e23><-w*!aTCR%|GyBZmv*#Xoymbx@
ziI+h6=qi2D4Ie<*o6JoR9fu9M{W;5pGeXq)OF+vVvA+1oYQH4>21aNj$cPIfp2NF1
z;ir>I@@sLPW%zH}ddMP~JT080l+Nmr3<?ejjda12bD_YUbdFnBZnAV^Uo<N@7jCu4
z1r1Dwq4KI8!CfPFbAt)zUPC6Wx}@EW37%gW&Mca9`IWQQYA#!aZEw3B0bNwV)&ODy
zc2svOeTM7Q5pws!K~0n@{GI13=z8bN|3--jJYGy<)`?3>ZZA8oej|^V>Zg)5NjjL-
zH9k1;ZK&V}0!dV<{ALQJW4UYvmhP@Eln{1r^#c7b{XaOo)nVJG2P40is7<y6(DOUg
zR@;>CdK4aK57{<E;&g=G$JNIZTtzEBUuHckaI=|RNrS-}g_^$aqJtpPa9&q#<COx(
zI~<42c2Rn>T{Xm^GAId7Ebamr?I$9yq5fId>PhS>+8OVBC3F;dNa7IAX}lU=I7mvD
zxi~jLtiiYdLcDU<TO0S=ZCo>Rb0?s(6yr++Rcs)wyajT{fWW{^phIj1b}|I;_5Anu
zCr}TI>^gF*4j&es6v6GW?{2APOJp}oKl<oR<1aC`HmTRQu6+9VdnAdu)|OROweeqY
z3u+6oYNiYhdP-7fLAIJ%D7SRw!>RcG<C=gE3UZS5d-mk_M&0bYURME6-tUZ+Xb3r}
z>m7kN7B{K+r~D%;7<P>?sV(OVvh-i`vmNGqH+IqZ7%j1)NPc9@1fgO--~z1_U`5C*
zUxM2k`JzCc_EbKXU!bR+_QQv-($c6oa^Jyw3y3I}njBFZ)I-H`I@{Yl`CP8Xn;b1A
z`!w?&>jLkg?@>mnsOaM|NXw>l?SwQ~%ynrD9gq8`M%1{7@pF!>ylu)Y667ArTHlXx
zIi~xSaF*tBK)&0{6ew)b>M!*N>qsABhjwdy35X<p$Q!TFv1QEhWj&ZcU^zFjWH*-W
zX#rs%pfZ5&Sm+1y^z`mjyW@C-7{qPOg(Xz9hBz`^knH41{eiTA4^R5D?l_{|a=54+
zsjAB(-IjS-jcM8JG~KZY4Fu}dt5?IRd`Uxbqyh$+_6IXyXPBx@XQhsy4vJ`~AmXvD
zo@r^UUA`ZvW>j3m5n_yV%=#;+m~8j=`Ep4Y3c%kX27ye)SCqK!txd)IQd0v=5lx3p
z7lS}t5RLd9U4p+#aZyJxQFQ!(<Zs$9mWXu39|pUuOq0V)v30YD+gAM==6)0kQK2Kr
zPPJL6PsbtRv8zAmest#<SszPbjd9$=Vb#?T8#YW$!)TPeKSr&#Tut@#geui+8BAa`
z@(&8i%Fl;$adBz1+w*E`Ys=lhdaAG=qEfAMSa0}ybo-Q9ANw`Gd6*Y}kL$MDVjs@0
znm9xTA6NI-mTZR~s<*L`ceRk}3ooznwzhPHoC?iLfW>$Tu$s1RcN0sUp)J4bzS(Gw
zsn-*Z_%!`(&oV6wJKjP(6v~MdTqjnjgbuGm@BeEud?}eDJnmC?o{bJ{*8FxrPhn3v
z)6<k3*!wE0h0k}lb?J*tZBgMA{N4wNlAFEb3l-=Lbsn<YrbS9`nY|dNXi)E<1Ae~m
zrn8;Lwhb|t73`0xdA3v;M|plTTD-^M<NfgA&W(~W0qbeoM6YLbHb)f6*;7i75+lVU
zw<|9zQp>lw<ek9Ng>T_^4PrrD+icSewYm*!yXwx*b#j>RU^2RWF+0HS<lfc&b)Xf(
zo^#lIBNyO}&e*zu@(m4!Jx3(x?_eSG`NJDb-U|w;YNwc<ft0-mS?-XumeQkt-m0C-
zN@-d=66vA^`WqW<FR`KPD|O!F{-%QK>ay?2qQJkMLXG5Rd_lujbc{c(q9q>R3|x|E
z_h3J|kY-CQpfpHfz&kTk>)jhrV!$(9Tup+nAhy2L<c0M?xMMRfJd*LIE5E#x1jmOW
zS?wnemLS^Hh0Q?&5{K*W9(j+A{eq-;&X0Qi!>z^jr^HQ_vz56A`odiI8T5?~LijTd
zNnR1HjNpoY)y<7(ring+)L3b%RYX~kJ`2@_d93@n8Nr80=0?PD$wd{2nuWfrXz}WH
zCdLbay{I9!NlBkUJFNaWNmt#HkwF$48w=bSCc%9^JOWKn#s9*hXe_dB%KgcRn^o*(
z)cqKZg^eXx_${s=VmY+kQv=-JG88c4;sWYo{?vX!_m=zWk*SLnNRIO8<n_fP6{@{w
zC;+_-HCw|&;2}lB*l2Um$lMn_DQ<MYyQvttP1Me!(cuq{Nidh@*qXs!d&U~iA#x${
zw|4Ku%{J3AKUXW9;6C!dCrHjuqL+(VEL#7@77lQO$~16I%Zk30z_?xRPm5AU+E|v!
z6^PZ&PEQ*EmB$B-Ml3L*${vLY%25dO-#;_&)>5nnAxe3n?IXl`A4|-)!p<%gw~6tL
zDznMok@U<kJ-{;#Ej9(DMVMD;j{$>$jrd*HOwVsTOIsPCbFVV5y^q;UHJWQLZ>Wz3
z#zuD?KI6SrB;MW1wf$;&HDNO)WIxGgE@e6^-25q%J|Kasxy7)o_6x?or=pg_D_u`X
zD$_F5p9cYTQN+2vUn203vt(qyew8EWEA^||GlLV+x)om3nME+c4oCt{d>8@VK+_nJ
zni^VB!EC-*+w=D?dW_gNpzHtr`}fxNwvM^^NI2P-{{H@Vw6y;B*C!MaqL7sq9+6NY
zK@pKWI!&b#CB=wOp8RetPS1aIJ}lcr+Kc?DM$3?y1t^>Ay6XUDCCp$+*jhtXV{&OM
zyv0pZM_wQ8ymab#G=UaF$<hC*dy)@=dZGWR5u?TCWVTuoQ+Sx<^I~f&o3Xw|bF^GU
zB;>&^w8yWK`j9-JvY0MdJ^#G~ld7$5hd3T&p9K;W(`}@0%0rnET2=MYz${Mj;=;nK
zsD!<dd%`1d#2||f>31`+OnKa3X$xauH=jP(#Qtp?78VxJ1;7s)Ta$U6A}<eSt8}{F
zNTu?A2SOPz+TtAr1+*tI@W}*KVc^&JcXDzQ6lwrLCKXkdqse7+^Cpm-s*5{-b=}Lb
zA6smrvhrU=-OEkGh8vS2Ys(Kmb~t{y?_&N>U#H;_8~Y-E4&m=!uyhSmS3ZpV@P6aF
zsjc5pZJ5Hvzb46u;vS~O)AE`0EvmU6y+TGzS!l1aR@kivDb7HH3<CzM?T!1YiZGbM
zchIoP`nWqngwzUM_?q%gBSO{fPxmo(q;FsQA?rAHnjoq?y&xC}w>n>MP4Uve3!Kph
z^zvd8;^Y4T^T6{ST&;44BUQyRP2_gae(|ybbTNU*gd7TVH+RRQkNQhQ1nKnHusSd!
zpGZi4N2HRhIMjl_Bmed6#AZ2X<!3EdLpXMCh_nK#isq|DkGZ}BVu5zcS=?Zr3a=LC
zSy~x7h~aEBDNpG7-M_H;$@?EG7tX$K?s^wcRK~+qNcfER%*Fx;ujichasl4mFYs)-
zPH1u<E!<+v$56`}en3Jf^PD0m7{JR$b|kB43hZ`9#A}0_8XJlwkueQ)=?f)>M?#|H
z<9jTab=%(B(l#*oc7Jum<#P1_3Oo_#78mtQO~r+TyqqIut)-JTP(B)4(XY50p$WJ;
zhEHc~d{N5h?R&FxcxOi7!nCq6GWoWeI5b^n?Dp6Bbo-O5D+JDCH+j<GlL@B$(g6xc
zq}=v-^>J|(4a{Addm>@GJewOw-l?sOV9|y<U0=&*&SP08OnzS{5Ga+oR8?iy)eFPV
zHrV}Z`eeC)B7#OTG~F9$t)cdJx(mDS4Gu&!D6cDTcL$RQT|~OCM_S#brBupViC(a-
zy85e<Qe1R&w2k>{x*#<0PZrC~d!?+R5|Ne`CP7^USwHYOqlC!4C;D_jf{s4G`#f@I
z5-O8lB*ox{ouDq*x9UFaK<nkZCziA1dVuVutA|foF1NUzFG&fp_XAHejUP0S=k3`c
zzZFyA$<_=+#k*dRqp$|aJFDbBVYx(IqQBDbKiF~6h{F@J=i-ByBiUczS6X3L6lAV=
z%J5uR?2Y<g@!vFXYwMW#e<c^pq4UZ#R)D2>=g3E!<=L2&Ui70!qd*}tB0|vFnOjj&
z(ZC`pH5CYMsC#>J^2D)maAp<@ixM*xguZ@dv9RC}&FQ&@&8QSQ?wOn)f|Yl3vjG<C
zeiX*xLIso@tcaF8vPPft@j-asf#-Km;p-`))hV#-zo90EEcRnMR{1vXOb5-U@_mon
zwPxmuyu5y0pG;7)?CH~|I&Y6b-S}o0afJdv3`H(yhUBc-K%*mNJVKlO7G6r<N5MLL
zkeTv>^E~NLu{blV2>-<>Zk8aJX!t`mH~)y`=mKkd>E)}UvR0u2g^i;ljWcBv6FSh$
zG`A3VpiXbP+KOgpmyL7)dAtaL%^<2xZ4LZNt|NCa^WQz8p$I%c`lakosWHy~H!VMb
zK)@xXcTBU-4r1Wo{M>C;G><ezJoNTY>)J!<5M+lIe+|;Ja4g@z4S{xOkk~p3I>tNL
zH|4Q=^{c>1NtM%T<Dx{gwhS4ZNw4%;0Iy1RzMs0Cd~CI3GCG{NJcO$kbTve$<MYVI
zIWgtwrpr+DdIIH>Ou2#^FxmFkUQV2UV4$;p5(Hwb>3(Yv`$5GEeC*C}0@YZ`C+pXq
zGvu%Gt6Q4N(iP~OYLh@3LErbsBwMEqj7B;$F8vQGaDRl05$pMSef1L0z>dT=*u9H)
zqQE^Z9%1X{9@X#aH1A#&&kiU<WNl4s-zIzBoNBLAo^qfpDJH5RwrJVX(dj$T91D+)
z>NBNxH0B`^9M31b#=O;^)VcGh^{Tb?SgRTlsV0_-0XO^}L|Lw1|K52#KXQ6JoW6be
z866#EGns-5_$mY(3I^he!4?50c8L`38vSQbMbp*M>1h8A&3;a|&+H@g-A;jyA-M<g
zJDn>6{wG_F<;xR?4lN;7P*aCY!z{`81@AltsD5A|`x8TIp}p<bgMHByY&OO!5Yk@u
z8}m!DD$CS-oEJH4Mgsg{gGb5;`tSZ|1O^d}x;^onhk1JhIt7WRQ%mc;ESbFb(PCF`
zd`x(PU)CL^-2KrRi1A*m<NF5($-zv=2-a1=G&citu$LiVVTbg_qrd+sIo)orAeo(X
zJb5mHAdwG^@^*PWCL_hEcR56F9Uc5?yu9cX-p<ZJNQ>?pqqCJ)Y{1jkWh)04D5E-D
zt!9gZsqhF(q|8Yf57$Jt&e=xhle$A`F*AbSeqU~;w^8a?F>8pdm#aFB=nS3Td{}Z%
z?%%QlcMHxdajJ0Rsr=!=6@`RX6f~#}3=DwE1b9FKFC*l~yGxhs_#hen?ShRb&(hN9
zN57SA)vvtrxR!;va6XO0OUh}R;+oqxEpUbwix~jCAQSE#4QvQPtDrT9U0ySq@+2c*
z{#ZJo24S;#zjUMYr(8jFs$SE$hY1t!0((z?aXp=FYi4*7{^?<8!{8N!enVe}O44#6
zq0a5j>Pd=?>9J7~yiJ8_Xz9YOO>f`YmkOj`!QDZF#;}+9WniF(@jD_xVg#Sa{BFDE
z<Zpjz1X(N3wz7A&*H36m$%=y<R_c3Zq2GR-DljOK824%XenGQOog+6;ahb<e`@{wn
zIzj|#vV6^VnDn>tH>Nou_j$mo_Qp92R|;Nl;y=W%TiGUD`wKY@3CNbW7u2lMz4UEC
zTk2>gJT-yc@a$u!e6!<|(>nDj^on&ociBSQDM5j~!=Fj}xb1}HXmeqXjSM#oETm=Y
zl~cvgy!SC(I8&!ba9F3!sQ)1MR@n89sq@%lnj+yZcBi$t8KO^J^KmHi4@DCrTama$
zffzCCFvlLdt|C5Tm+C79D<5Z$Gn;}aMEnlpf?M}s1`3q5C`4*Om=_{GHPS`{z^&lP
zyqY*r1~$}ZwM#}C6$DLfIW(9f8QQ?Pwllnwi^Q>yRRP2QoPyjuh^TlN{1o|GoKD8(
z592J?#+n4q1c#nJ;j5YOY!U44CQvYQvS{xePkK`YCcO2M!BwCWM1_Zci4?z_oOCQK
zLPJAGF)bS#V^SrVq6Mkt(QxBJ{fsEg{m7@#$>0O}5wI^DaHm@jG6kT^(&Y-eov(#L
zK*8zt=cy6AR+l}c-lo>hcUibM)>ouUt-s>lgcK*tRa3mZZyC)YJ2`dPJw>v*m~g09
z<;?i*!p&y8VRPd)lZ-S0!rnV$|AkeXp;(6hx)byB{l#VyFxj>s5lIq>OEFR@OY?Cg
zMc{$Vy(X+nUP4TmK_8QecD}P89X~8#vu)E@&)ubAE<!P7lqo>Q8!A+)J$v@&P}Lm`
zYADMMe>Iyg#Vl#OXC|f8K~g1C4kIOMwBly57#a1QY;4YUevvfhr0>I6oq)<M?C`@k
zbw@@x`v6r62riT67MOFC4n9Xo%Pj^BBzmO{ka7fth%zYN%jZf6YH6hb-B=}v2|zWM
z`?uXk#Qf==8~_KSG}AH=Sh?FDQoSE(EXiX;<F!vpz#l+|hLPr(Qt;kaj+y+uG056*
z+cAIdKMFLsb-+aJA+aX)Gg&@=S6<^Ix*SPZX-4dO+x-3WSlw;I<fqgM%hDsOqG&AT
zSvNWi?FH$i9(X&!e7z}EL-U85Q?t49-!Ie3a>V0a_Y4^Wn1qRot5m50h6jOJE`3W&
z$?56uhKGmQaGi*iA`E6oYAqh=mDQ5Q_eKnU;HAiDf#;XH@)h^&anJc-ZODHiDuaZ?
zmB$V(&5uai{Fi5K*L%*2Vbx_aV6UOH7^hN%vXY|q(QF3l!TDC(!00!C4B+LK5Y@R}
zzxaUd9--irTH7@hzsen!S5(3yZb@WtIcWL<nW}S38LM(<;O^$Dj3PuSn@@WQb4Z>o
zOHX!p`v4gr`s>#xF!oJRKrCZPim1)!_iqwnzLXkp3*OR3i*3kN{j<XG>E6$5sj~#^
z68^%R$YKWEWi(jJM5|48TEsq&v3Oyo3HLE2SC>s%$ErvxX7hG>l4SsSh)0nVhr)<c
z^McHeN{d)#M$$@ak706p|Me|by?mKBUAm%IYJ9x^@87S$?CfU_${6w}zQ*R+{s;>2
zKG0j_uy&KMpQ~Sg4K^9R<r}-BAgh!HV&7-2IK?XmkUYmfQlX_p1o-9L%p)v-h4RW(
zK|$5k8q)f;e8>J~FLb-5HO&S@`H2s(EyTPxSwmk-k)Oi(B&p9Wv~78FMT~j2Y;2h;
zb|_YVZ}o2tt5*{*Pud%G%b<CC6vU(x5)x+RDLE&`BqZRgsHk9JVMRNugEE?)o?d2V
z=2Vy*ZCx@E{=mR|wZ%^U%lX?V%j%hKrK!UnDw+P)ce32|StKl0Q5P02;|>(`WTw4B
zHT61d#ea=jaAzGEmS0VdbT0*TO)mx%q=o6J?bD4SxhCZtrDmD`N#wbgL3o%3CojMo
z*JCA6ovf4x*Sk@y1ZEkKeaXp0m6cB=v3tkIDDB_`ikTDQ;))m==H?HphDfC}heWiJ
zlmM6JIvJ<a0+p?;p}j*nTOLNQJH_X!r3G*5qn8+m`tnIBEb^7gtk0H)cda8(j}@+L
zhxCkx$X}HTyP!mvX6)0%`pZ%0m(IWCavlX&l(yD>VXP?LR3^YntbAy9vRIOydWj|q
zWHlIeT3T9ALSMd!lN`)f(SYp&+Wu;NlSFmKT_E^;n{F@^8xvB~`!YEVBVenbjzT0<
z!Bm}aCXI>Y^pKu=$;%MNuWzD#4$l@E8bm;2Wiv$_uE5vavu6h^J_{i2z?e7I(}YX=
zx{cWSM&a#VU=X&g2zD-i<sCV4$}`YnM7<?7;%*%cYiNNyPG`kwD8%h<r$BzLCKt(`
zJ~-cG&TOE;WH{%?q@&`qzyS0Gde_BBlGsgg-n@B3#OE9h#_>(&h~p9w6TjHlfMo}_
z#q<LtQJ5}9*U0F)J4uk8h8-W@iPC6iW3}13hD0g9sW!RsKcJfQKcL!Ca9zR7)+73%
zj#`2BZyK6O;8eYxV)HZZWXp=a=L#Ob%M&3ZDMH8ioaf4BQ^nzike8oZyD!Nk-fFf+
z4TJQazS%(E*d<wAdib7zc|oimf>*kRiCZHQXm1CtN;;O7T4(W~Q3#k37y)f*c217<
z(}Pp`C#RJESp>{VbhC#?MPULyYXK!I8na`aceM(8rPN``A4@*NdyvbG@AWrX^gpU>
zM)S9b|Am|q*$%rZ%fUJ7r(y(50j-QXe{d+|Qx<G~%c}(npdP84;oaW7d(b)zE{maX
zpOJEf@PvO=!7;)(IaRv(W?}S0Qp;51`lo0PhT&5sc7l*BRUcSpL%?o;nKec$%}!yw
z{5D&n&KHmlz;5^l1ax$EdI2u`FDO`vy`@taF8uQ<_;`IN+Wjd0evt%Vs;O5x1wYx$
z=RPm$!2QtnIFxLaeUCpirv`}O8c^NL;1CTK+li}t-fA^{C#UT%FD}eomz!fxk!pXs
z$u&E(MZdMw?{B0u{G(RnO;-BZw<UMuXWm+2LvRMjXEQPBo`qlp^Re0Z1^N~i65%na
zjT==mytZ)VM5V`a^lWA4#K(gvc7;yy{>H5DNX{o<=f1!)Is{HCZoVj-9o+`@j2$%a
z8M!|n4(*}5>ZQ;Kp{z{)`bU(ZW-fcqR9jp3wq+omt09xUr%MojTl&v-vI(Fd#T#Xc
zbDr_Mh_{@27%H{T$--KG@8H;zRA<vgL_{!wm*w%%=Eeq?jHkFOBSe)ffa_aP!9PN{
z2*7m)%FVq#9Jo@l8g4IP88+0{M=!ld+>~CnNhqHm<lrd><_znHj|ZsKjbpmy>z`sr
zAAAUnEcJexc8n|CRn?7sU_^Z+Eozj|jh7#?v2P|09=^4c5IEcRk$BoWq4PlYdN=jK
zgbGqxS_+EPtxJoJdlNp?lKU1uYg=3T3$^A!1qJT`W@P(0;SH9|YNH#zr1x^Raf7vV
z@-E2aSZI5@e=A#md!jJlrHEMAzTf^1V5`mLo?Raqx33;T`9La7e)Vh}UFYoDDN_aC
zymgJDmgO}NIRw$(9Grd1s^{3yL%DDZxmLUC`#ZN$aa4T5OiWzht>nHMD#7>?`|gBG
zV2JboacA2*El)Hz^LlxCjnB@C6ewVzqj!MTxo>5fE%6-Y1PBb+m!cBGl&q|2p{b0j
zT&*(K>dn|80U7*^v0*0)a5YLoQYiDVHrxyKCSYw-0VSDH+UUq0sFmb8Kskwz#GKGx
zIjd-OuZwrZohxCo5YhFxvUbL5tD?u7{1nm*rMz&=br>?N;&g~1c)d~mfB+*n{-y@=
zA`q~Wko}pKZ5IM|lkR4xb1?oxkUA<NHWoNWlNgPq=18aULlvvm1Olpwx26O*LR3~(
ziY>E|tqI{7_P(i~SNoaGm*KAF@c}%{I-_gN|J!V@jSVmpDe%AGi|*Z5SOmWJIBIC?
z@L><i((WmojCwO+dEG7a$({hzkDeY?Pc{7hF5#WRLld>sCna<{x{R6d=nJA%XAfe&
z%)^X~iuyVJ`F=VLXdgnplFQyZthN7^I|AjpFfg=p^WZ?Oa;70P6a~bT9iTKpBIPIY
z+#ZUvy*^%M(Nn9pBE!MKq2i>Wp$Tc;u}95qK!v17TzTIeIY_XuIFYq1E&qp~IkcL5
z!K*kq>C-EUDPHyh0W!E4Z0GmEWi*fd%6$n)b@APqrhfhMSnnc4Z;p3l&HZTLyl`R;
z*e(j>^GF&}xoK$pKnA%8xChTEP*|L+vm^yK0EKv8$%{5d>_wme<}-dRP^bh}z$?xN
zB{UY#z!W9UnV+6soZ`E)nHjf=6D*Kul-Q|xL0PfVp||CR0;04(CPqtGIG+n;1wIRs
zwmqY`#8>tLbVWgeS(m-#VnM09OY!tgnoGWU%S72|i%?OV_-;yRTWmaxRA3a$#10pw
zqzc>K*{Rg-@X9+bk}LSg#<m5jgGvHo$S*31FTO~!E*^+Mff|mB)j#D4ILyEpN(8WY
z^tNiy(0?Lje@XIqutq*TF<4bryrbr-5(_1pB5fL7&6cd{eGv-ScaZ%Tne&s`5|b89
zc#twe3+W#Np2Z|34S?3?B~<}r3GjyuE!N!J+!~lPy)_U8#s_EDc43*+4@Z9hDgEdC
z2&PoP`(rN|t(gCa<{XhQ5~^$IRNjEpRFV{Kd*=;)xdJR(TU%FG*LYqh7Re-z64&Y&
zg_!SFlC@`_p&lRAKGt~f@M}1JeNhH1r3P`{=<90vy0`$H6ACwmV^RV`<Hl-x!cc)O
z7rkKBzL>{G8(<v7vAx;Z*Z|iUHaDjXM%vCd*wTQZ6Z+t-fk#Ma$}E?Wi^%UDLXyR!
zr)ME#qgV<`mN0^dgE8sg+Y$z%XyTUQ#B!9?)NBF9rb8@d1VbQcsHk9}I603rst9r7
z#H3o2j~SL<0X8lsOF_s^_>E?*ZgdT!Dj`XG&`8riAxsbOPXtOz_m~JiUVyx1H5kOY
zyFSsX#8TJSr%dyB;sWNF+Rsmq&0yAfu||{P&|d`h`B2iU$@5!AiNn9XIZe{0prV3S
z{keqP8qDt60M?F^R<t!kld(>+1q#C{Jh-&So(hI0ZU!pLvDVviFp7r4b7~1c8Bj8g
zKM~-B{w`%SCuE;^DIWH$dKP=V=2iv`$`*w$=d85!f(ATZdV7L!owj3?#7ZWQ_xA@$
zJsvv5nOb1l8|@E3j{K__FU0VIt!-4u#(p)KzSLK$zXGxZa3j3HemgNVNAZP^22Z31
zFw72+xn-0(N^~*m^;W-MBwud#4p5rTdsM2`#u+14^W{&xFE882#h>gb85YX+Trb6^
z?Ant5!pm#DO=E4d;DT0V3(0&{`y7G4MM`BXX=(g!&I8X(TCM8SVEfg7iNZ)BGejs3
z>Gp$E!L}jYhQX-O*bS!91q1yI$PC~lYMYr!<VmG`0;MJ>`8=s@KT`K`n{2CHsn<?U
zuooAYM*2R3;{5|;Md_ZQqlqdgGWjYTK3Gh39If{B0P(@udu3$k3_Jq|plZAT8A2ir
zM}h){&NYtImm(Pq!>@gI$YieMWdCo#!GSFt7gb~bosvTQ;;p$mmPP|?Z9uM?n4Dy0
zW9uFn2^me{VKrZ11LSJvk&L){1ID-A(Gg>93kefN@J>QEVLo@kDE020=&FOC5%$gA
z9;$w!o<+L4WNBlNO#XTa$eCQ%bO?>errl$rGBM0n8i*gkl20MHcnEYBljbrPwxBjK
zt^W6#R;bFOhJa-gCXe8~Ogx}*Dz`L$5Ml_5h(HI;UWQkP^9v|BOC09SqH&BP3Eb(#
z;!pf9{IjaXc>$Vpt&Ndf5{IkfRWkT2wh!bCA%@6=#^Bzg6qG#zks1;XqdMH@I*a9M
z_kkpt^Y>c_8<SP14z++90T1~OdCUu-bc<0fQ^;?zP;Zk40=|~V#OZpN$2zXD_0{HI
zjTh2Qqm{ZIP*74FI1-1O(&C&hON8u{EX*Oh0`hIIk0Hmcc9+&&ebXfLta>|7wSHMj
z$A!}~<Dr@#;+LKy`jm*9yTf=!73y1HqwXgQ1E4u@a)H(b9Ve-i^q$FPeWop@n#ZM~
z{IEtAYHMK2F6BH*wZgRXHc1wXE)cTXTmTsKbPApI=7|dEBf>_saEuob0e3q86-~4l
z6()@oB|kq2G&HpP!)agMvAm4TXF);1fyd(F;zA_Z{0yn(U~RKmMK(v{{*)W6m#Ui(
zJKZc?ql_cWN{ckErP2pU<bnPImC495@1C>eT6xNBgE-!q?u=I&ZcFtf37!h%g5)LY
zyB4A%Oi-gs{`wGs=dxlI0W%7bD@!A~_Y@)}4tDn0#au-Fk6TDc7k2n7J$|HyAzL{o
zwN_Lga6F5yHxinSp(z?~#@kA+M07eg<$vzX$^3^;?bon1kH=GS6K{fGG{*fCr_z+c
z3kMwkA1=?J4#2A2?wMzC4P4yHjmAizVwtq0iWH^G4$7_8g>XJ7r#qMlEtgyFp9D9Y
zQ?Qy7oQDFbPlo3ES#F5Xa>Z4@LE~LLbAuL7>#Aba%<S+0)0*m6p@Kdsji$bVqHCyl
zfdW!Z#+amIc7s!41v;y8j#*_dcY5xK;HAN|!yBvZC%Nmf6@UHf-ATNql`2ZXv50{N
zoQTgxOtWI7(wHckC_P;Ru|S|w@f_;Rite5Go}DR7A|d#Sqx9v@ndAUt6hH8Ad-V@^
z3CG?OJiPcz*R41gZMiEd;z&tlzB6*eBuy37ROAP^qhnh8f13liaz5Ml7yJMYJT9=6
zS;OCL<~tSW*3>A)0D_#$2^O+HwbX;dk=8hPK+(vO`$Ie;eOB;yg*ETy3XHABmr5*l
z)83GG3cdB#n|Lhx{tNeN%F5BV4<HT?fszY!`$kWY6PPYOv|J172H^Q-(nmc-%*nLW
z(WXToe0ez#H3TUBcW~3$6Y$QUCQHa+wgwu|z{Gp92+{J2iVVQc0`+p}Oi2&-0K25s
zFCt>zWM=j$8WC##fAps3G*RVj?Bx6mNk>Mdr@I+LwDi{0pGD|8rusc~QktzRYc_%|
zMcDC547UfiD7UvZcE?3QMdXL}mw!K;Iqi+STzF#rW*#t|g^m<cfF4-F3wRm+H>OP)
zj8F!{j-_IVMDp*i9^Jhi9v|^$r{l2uK&2OCoWg(wcxMX>MyA#q@+1!P*T1sq4gef_
zp&jse96q!?UJ+7LQ^y1;jKdWzvN)8se(o#Nh@a2J79Z1?a1gCg6f<NLIN|TR^oLQ%
z2mID(Q5UzK>CeI0q$#yTldrg>{0ZZ@p6Ut7&n0t1)Be9CeM_wKC@7p}`jV&>6_>=N
zXTfX!O^Uz&=M063vA^=*$rV!|{uls`L7x7WE0~!IlAqELI(*H1f;sMcIV|RMdqj|J
zh4?ZRy-GoCh~M>7Ul^%Kj@<g%T03w+{sMI3uj)OX`N3~#7#TxD2stBxbpz-X-q*OC
zDg0>mi;&ySs;{dGJvO%YLwsF`e4Y^fl<?<vzAYQrKYrDQo!zBjyjog?;Yu^NYO={~
zmzJl+h;^CoX%+r;vYIPb2zW*pFCo-9k$(yvkJm4jK;E0Jh1D9v8(wTX-dPF}MHVhq
zp=Ww~rY=sJdsDX_)y3{uttB(oa)_0f2%c6i*b4l8eo^OC;<5jLF4&ZdJcH36J|wHa
zFFuDF?lJ)A+kjKaCx=5kXJ=<uaOj%v_KQSwa>}B9(8atcj)oIh{eXjG1)zYbB@?qF
z(hsUyA6=o~>hYx7o*1Src4tODxvF8~rWB0*=x0BYStF*tyv%EeLVnLlmzr+0H7JHK
zn$m>tlT(0h8M?2Sg?YjA{zYiFx4x76!WCJ4I_9Y21zrEWA?E`xOh&%m3)X76UZMX!
z8po(Hn9OBcO%x%cl)T`Y`u#jDugH(y$U?;Azw`7Pd_I5_0JFXr4}gM(fCFKH!XV(`
z#DEUWvibCl=}d8fwN`%3--D{zbUBbuzvW<Dn5!}U9UQ~YUj<(*IjP58mx;NzwpYBa
z$UX!LtVt2@)#fvJNydDUDTqaf${r#3l5cl6FvZ2C(+qBXf}oJhR)TdjQ*Y+xb##nH
z?F`=>{P{A6=8A1!_$v6?^jjFU#SPb-p1IlZVM-HMx*>YA?26_Gf(wX^M4Kj(_Gv-j
zn1Tvhxqvwlp^mApSVpD)_!d^IR(*d$zlV{nouj?MHe@4#uEB<@q*W_d@es;`q-C^-
zWEszNQIHbi)jRF;^wrLe4U9^D9SCf456W)APg?yW&q*^ysW|SS`EKQ-L^5aMF3<f8
z$dcz3k9aF9gq}^O?}JsFaiB1v-83OPB6&Nb_4BHFX6YhksyHsMEh~<vuz}*dCUn<g
z*0VxGZGF%93+r3LVC0MVyGcVvzg4As_M0Y7!|CF`VQv-=*M#*1G5_Xv2X(W{hP;>`
z|5;Uc%q(HO5N^&m_kS#^t`yL2ZG09^`L)yYx?<~SHcU)=A~o`E&cABsEW#*%a)<h|
z;B0f&%V$_Nr?THrrPb`!5J3h-I0|#V4W`=cVx>xz!0=I0!VnV^Yr3BH<XQ0O^&+jf
z-<x~=`7_NG{f{)UP{@5}m>3Izs<H8h5?M2c0@-Y}`xAo<)_eGn?-QafB};_pNs$E+
zwS^O*Rh<7UkGuOV_#bfWbHu{zZ{0s=rF{D4>fkV-H@SF=nH1BbL?a!Mm?ZMnh=$)i
z7gq`=*46Dy!6%G)qUjfWE9Nyh-u7lmM17vcikL%3+c$hn+sdK2y8*i#?gtX91V}Iv
zlD$3t(PE@PD)E4KNKyllnk)GSTE@`b8S^zKEz&nG3KqFys;$9DApb~7S!Kyd!go^a
z3wZ#>IQGs%S64S-ad#`9Q(Q7Xt#ZOfbZ8*U98<*H?@W0>r2&XnaVz~IrQXuBQrlUM
zqz=_7+p_pKdkHPDS#QNWr9h^Zd~iMH3uh{tQx1Ri_N6RVd{=KKlw=}xlx#t2U3Bpk
z*I~{fX(CK3R8(t}Bc^O$h!R|q9{HN%ReK!Tyi`VUl*nE1ct^_N^4TaD>4I)~w5!pn
z@iaJ$XZ{v8%<ZWstuCX8V!e#B_vb}@XBJQ?S5;Lpv$A&e_d^O63GnfC0BzqIZj$bO
zV@JTlu02E(Rq>I%IO0b?@}=G0hCHwRLdOCT<`*~TI*T`-*Ou?~x3-}FO{|4Bvt?uc
z5l|O&Rh_|HJh!XOl7+S{9uD+yRBN1v4o{5|8DE}@Jo0i+?J7OzjBnc+$6UPItBHVF
z3MKo%2<u7GdK|pJ5Q*GZ7M>Ub*a;`ygZ<6kaFo>KRvbYgXAT@{UnG+gK@n-(r#jse
z`BfTo9;;iNG^yjhwX4)0AU<JZp%G~{TCEJ5^N0?OF*SIQQNO`-<D;&<+FWEciopGG
zX!Zzc<4Au^G%~^-o314-LCM#4#`<Grp{Z=@F$y%=#dD>gucT7JJBO-ES-J8qFRRnL
z@p_6gU+*mzzmL81)$i}IG4<M+@_F(uDmtL>If4<4Vq6K)(LTWWq@0MJma#IhTu81&
zOM-6@DmkRzzDq9_g7wzBC!C3CD@AAd=h2KmJ-RhE|IBfF(qW@3re|yG2wP&h2#rxb
zyXw=Y`O4Qjr3{Z6ZtE6oK;|srl1m&?!cd=<`?MAWT1lAf&Nn>{P|EEB?}ond4^PRY
zIc2$2nLTs$I(j?=;&YzFxt+<569IiNV4fnw!#~T(Vbs>v0x3pxH0T_8b9HrP0!yoq
zGMV=U|60gMN)vh4YCMHN#b;@7IKGEf+~bC~{&{0!1ZIUHbw*!5T|_WrBf#j91aGnm
zyNmlV$x3qn0JVLahk5wH0TIgguEzrhm1aH+Ga`J{pOGI7ngCpuzm$a0KrE&iFNwNI
z(^<EJ02ef$2C*jLJhnLI7Zw|Xr4UKO-ibExlu!8u(PIAJN3#?3zLXF>uWvp4P73&r
zx4)+g;;@ZH&;F~a+|pXP9P*-cD2<=fBMS3qHZkr%pWM*`J!FwmT)7E%83uTr&dH;+
z8ehTPwk;}Fmz~*im`CeWHlKTEJL}hGmOpb9n`$0;l@|p5hz0r?E-OTrhDJ;GUFdBl
zpjmVqGwQe-DLY11+1wu3{lmnx%eVt2cgOvy03d{8_IPpy5Lk1k7PORn$&vdD>g_eJ
zu?j~?+tTze;zMsZes&vq5Er2T=(o?t2#kJqf8Cd7@OLN1GObZdob#<iYLnooJjTVX
zDM}0%9m?9lj%Tw>M=oZEfkmDEIee^{yNU63AOj0?N}b2@<3%s6dzgtX?B*t!j>O(<
z=v4?Irj^#?K?hq;TLs15?QQl>j9X?-<6#;%K0O76ZdK*Y{XV-pV*Zu{b^r`3G<2%@
zUPw_6HYq80W{0sj4>A5X9a;280w>VkHBJl4``&p?Zl{c}w>I3!mwwy((_aeU7dYul
z$uLvXSEf!2FV?GCl-aD&Dm#UQ$Tx2<|9z_wzI_%4KoStk0-SHDug!*9(-$cfHYkVa
zAGtxI=&OX@EoWgawR43cPU2!6UJa^PEh$rI`}*GjRH-tous=|Af4o!zEjkIDmL#BP
z!%!ostc-WQJ7xsL20(rU8hmmhJYh!~iBr7ef?nE=5OU;-e)Kohn04l)t!(9K7^zeU
zq%ZYNO-D=&SCEmGEIeO?3}wW)P+Y0k=Qyz6`~BpueP)zbih8hT^B-_~OqlDHK7elw
zOCcV+`*pqvMkzm6ejgp#Zerbq3kVZ|y>M_elA2|lOGvC(gD}@DxVGk?YN0^hVo4i?
z4fboF-)xw6k}#(3n*IEpQOfwLO0!o%E6qEZDAe2Myleh^tDpYr9y2vjxXPE~VdCe9
zl49Ztj*sh?h)G;{j^ZV=A14~HwQf;8woX@t#?D5NE7Y~zUWh&!{`C&@Uv|cd6Iw;)
zi9BrjCQKfo>McY6JrU)}MHJf?<OS7HnxutGL9Z%~#NPJUppppdK^So|Vu-Udh4jbv
zGOi#RWX6WJ#|?WNGsS0p=OAGYiKFeYLu{UbIQnuH*`@*v;XCJHmsZpwX&4)t(wztO
zeI5`BfT;cqVDdB2<WK>~=$SIDFu=M1Iv;ERNL2ODGH=~RlevJR=8K*nVq(>;0vsas
zwUJ$zqS+_+Z>B%`+mt=9^q}3KBI)Dt=mVqeJc<q@;sS5nR=<VR<m}A>2^XvTx^udn
zPG;gecKWbkb$sHK<Z1$uFPM7n1pLuO@bC{fR^N*%KA%F)_x$LJ(*lBpa%DbFw;>NP
zsTcpdaPjQY(OFWD3a*Jj|HGTeI@p)g^!|Ob$C_2ahLdk&BUXWe>n{kL3Jd-SA;(tD
zXo~Sl`73!2%c5~+)TM?XzY^q8>X~E-IK6D~B80xjPm^O0-yGK4W@~5$O`a|!1#Lk|
zA8l~=Ut-iRdy|fGhg7pB<t91@j!G7z`QUX*eSOxGldc7nyy(S>fu+z#M?+<quOCFp
ze5%ZkzpfB0l*qx~HH_2te$WUD$RH_ECyKw4;Q1gK{7Y}T6hV4+HbU&i&P)phX0<>;
z;+fq@R0->wm^+u9pq@EGOy1SEAn`cHm+Dgc;2;9f)dH*s>OZ?n4Yu9g-9RT%UR%2Z
z>{ImzBB>ICRmRg<i~i8k$*~lc(4@D}ZOI1gEd@$#DcWVK${!pAsV6jVxgoTq0p&0W
zIu=e)P6QcpFgxo}VW!08rONFg?HRUDbG5lq2(iH&E<s?aLSSA=i0Xab?ofSde1Ac|
z=#%3bS^^6`is24SUtiRX%&QWB-$8Z6`o;neSMRv$O6=omGXED~Z)PS*=dka#9HR}G
zk!u^do6{Ninhp14LVRoQ?7r9~jI%WLE!q5}m!(ZTZV%L>jiK|co0M3e*x%4L=nYg#
z%MvZv06-%$M(HZYpIxxF*fWar<ZosK@*8Jvle(xFt@e@o0Cj|>F;Wqx3hi@r=iB<C
zA4?WO*BopX+8twlqk4wMo(UPRa(#QC)!sC6$Kw;cD_PqP;~#Yh28&{Oo!t9bsV-Zi
z;Hy_?C>HA%=nK0kk4LY&DFQ(cZBWD-j%WVU<%eo}du9+B85qT_rl$7r__()N$K>nl
zO8~DxJJa02cXfrMtc*kRIaRY~$U<L#$C`a>b(<`d#3Sv`+tNzN0gV#Wv&mn)QkZWb
zoBl2;LMCk;Pm0jkH^R0NWaUVy?__nCOqi%;2aBdw(l;~vcfC%Q!dP2(7@&-BvZ99R
zUMhmrqDcC<O>M>2OrE`Gtf?Z%nIAq2{@xky10k=QaPT{Y7jc5nJfNH~vLgSPs5>zC
zBzAWU1_KeWF!}ES0ds2RDnl@rIQDIgJDXF?(jRiCQVvDzmAV8s=;08g`Rk5qkyICR
z8C*@mDWBcgVhXm>hd-Rh4#?qRRIUQ%a};A-$_ci|LrS;Keeg3Wg$vV8-XcHf1m6NK
zKp!%mfke!$fO!fh&8(}hc8B_pq2c)<9t8^Kt;p$B@<zd!uW!!*d2UV&9|kdI%3!*n
z``m(RdKN`aQJ7jwi4dc4Z_fCAe^4M~wpgWx8p4eMFMvYm<tO>2*Zd)=zBrLj(z#s3
z7E6qZGm4E>zGt`{Dq-XFhwZCu40sUkM+n%o9d<*BkP(#*_!^@zB-?~Zl=u1Ez89Y@
zOzvVABLxQx4Q-wHzk8~;MKLHT%wjSQ{BN}wkKuK@O`%Us%(_MhJ_Q}?T*dYbG=wU2
zR;SgXrD;~R#gQ6X=zm6K;<Q+n7Ano3V<|ECIa_^$(GH0YMmTBOn4@w~Z&cZ@@HOoH
zkjfS>Y4qh2nrmL?QECJ6z*HJZi9_?Rjd!|}EVmXXD!NntKk}Pxs2~)=!P=lF7cks#
zKd~9NDR`GN%dTTzlKb8?T!VT?=+SQji|ffsiid9WY`ITX5Wb1ZbCU0)8BYpixNH=M
z?g$LYW*^&V$cnySQmUTcU*$T=JGOFLBT#7YJrEH+h0w6qWWQTDNZ~nkj+45$xkS~i
zO684N=o<~~#o19N#HGn}4+&fp9~xr%0mWo?tY+5Y{^$CN)KyolD3!3M0b+biiK|p{
zv|J6Zr*?Y=L}Kq7o<|klOPlc})iX~l25qii`;U$Gc8-UyYo;pW5!g_i4h)qfJO6xh
z^&DKD){NVc<T8~sU3olge;0PDUvI!ubLF92`N5CWBJ~|50}eJ_s<rWG(n?D?E6Zk8
zICPAKR(`@u44A4rYHC4B<MV`HUOel#OT6d$X>QUzsFc>#yX5VZgra9|=v_14M&p3V
zY9khsOL~+4OW_wl$3tebGSYDtsTNQ-ji9;?Ia$G@$D{yMZ*l{%O6Ae6-aT`33+JPN
znxOh!RNF~g>c{Y#3p0yu%E;8Du%HmCD3|J<h2i)xj%dwGqhCBs{G_vKVH`yIyB?9-
zej&$GksOjlT(|_^goHUja;!Gr=&vtzR}b*tyt(`rX-=q;VEb=#?+~fJLxeD`c~Iu7
z95?#+y&Mu#eFK!w5+>AfUE;XA3}Y^di76r`S6TGSShQIBTZ1G&<@5Og%jO9B+mDx<
zDypjV0NDWqsWG56Qpw)TE78@Jz!oyjE+;qWSSwfHo!^g@*u?M5XXaM;a%Fyt*PYr_
z=y`e|K1nrcF!UYn?7wb*c6RXCYB(i)-qDpfjSB|SdsqZm6<7l;XwHfd(y_Y-mz33D
zhbJiY;82~1+>z(%9}lMqXVK)A>py?;u2xcA8Rm*oVUSNu-agF1&%nf_vM8p`WwNr2
zgQ%2pyj;$~Ldl>dY;42Ai5Vq2>|{eUS!dCwEFHFkOvq9s|JEJM!y8DdQ>^cNyoKN)
zfE&HDBbV_=vMV9?$td#aC_7oQQA9ApYe16cOdNtAX;5QCmo4KC_<XqipfFKN5$Zg>
z^F+4-S<I$4pV+Hm){5YvNuAtpJI)_m|E*@~gXP~QD5&9JH{6RR%K=)JbWEs<p9wjU
zvJ}v6V8abYpJ3`S<Aglgc7l(WF!bEqSkCpqPHjJ4z9msHTAEA$<!f>#Z$h;kAf3^q
zgt>yZgiVk61?wAKru@Y1rYMxD)SDPpsru{@vymAsx)T?=DG9JeNo+qmTU@S1MMbqi
zMeu`awLhSOKDyo635St{RKy|(!H3m3NcQC6oUD>|7SFrkFZ>N!#(m<WS57MoM@+2P
zzWA}jyO^@B;d<jzw}WX1-y^>eL?XuM@>H9tet*YaX*5)Gpf5lr=wbQX!6MT03f$vx
zdaPn(1V-DYv9OdiTPb78T9==D&6Rqy6k*Toh8GlJd!kP%1sI9y&31z^^}kAKs4HzJ
zVD8vW2Y>TmYe`>Qh|!Ih6Da;_JDVeQiP{_C+5D*^UHPFHkgvvZFX3++tV>o>9(}Iw
z-PTn2ZxrGJn3%xGsMffylgYCZ%b^-eOdiu>NmAkx_vHGEVw<|f-V$`eG2d_o`ultL
zo(l2ePl~PBS_>RMhc6-Cd5W^A0l~X9*gQk?xfD*YHZv*3H})&i&H{92sr;i+!pk`r
z@Vc+fE@@{UD$C11N+o~l0KFq0IY3*gob}EyJ`gAQf);(ImJ1AAM*p*in)%WcK>!GZ
z9cPCpzDvtZ7KJ0m&_vOT4)$l{6uHGzuMV}qXPgYLPlpoIRi~u_m=c2AW@5ZoQyUs;
z)?^*!oje$JVZvQ|Tw3bg%IY`E?dZDIp!R(LDE!nvFie}=e}-t-^-SptO1>Pw7~8GK
zHXs!oj#kxsUgk3Q`;%1z+abQ9Kg5GMwb14!Pvb?g@yU%|NRPQ;k-c3;D=ubRqIqa&
zwS`&WaMH{z<w`Q;=D_Y_0aut5dznO1qPz4fDUT->@Lx<BCv|RqS11e|u^t{6crg+w
z)@(_%-3=7LBMF`WPU9az8H-vX-ZLb`dFU;C50FTdmzSpl^NR85lGMSPwz9N<suJuY
zBM&WxKFs~nu-<DOeO%HvC8}M^Qwkw92Zjbd0q&=j<N;h<CM9H=xR30HYz;m>!%MZ$
zw3-&9(}ne7#d0}Yh7)ZxT?^bCx|4`{PHwX#S3WBR|0;%&k>Fg9egKBCOlxkqqh5``
z2^s37=5UDe8s%c{nc+RG^wT`f_5fU3efaRO#4sp&IJjmw12Oq6@BcSkvDBqB+2B0p
zUckKDaAsq5TV-@A?ONlwz*|npEm^iYGxjb`Wpv948*MFs!!7GYN@DlSb+@R$<<`^J
z?O$x!vA*1jDjRbnSS8VPwRP>#OLJ+Ne7n@Be3~HO+xw>ZvX7q4{7CqZu%c)-1_nhG
zSL-R#V(W5{1hlxv9^wAE=|5cpPRs5x+u8E%q_gR5r^M@-X5lpW<%V*a@Gw6&*!Cx{
zkguzaVI{U-Bp8C?hL^0U<C*G+XZx9lia?8DEOpOpEG`xuob=Svb&Je-wXy!6Q2`pr
zq|KRV|G4{lTjp#0x>ygH-8*P(k~hrk>;@ozgCex=Vx1+c<FPsr0RWbKsnI^@g*^hQ
zy7ML5u?paiM;HH$s9JsBDGA873rqUaw^($$Krac4kXLP<_1A%7VzL21>dWr05y^36
zB8<Dvy5wbcX40sfoX+glSy5G(lMjpKW;ZexR8+P%$8GZcS|>{Z<qekWH_=R-q&z&_
zO`oFZnLsPQz1|(?S++*k#B8=-=$*HZIjKhNwvLA#{#dYK%AUn+^fAySuW|anm*lBr
z<V{zw;a{wJn~}xe@pmpW)AEl@7ue2e(Gcm~ODWQFE7!fKBMo7P_9{KrOpBFWP0@LI
zyP=|nHXaS%ItriwU(1?hpV)z>=f4S><#ChQ$Fb(y+2i5&4NXM>tb57o@y_IK>_^LP
z@=>#<e(x}mD($`|f&j-sBfXDoe-Ayy?gh;uESY=_2{|H4S(eLv^Ht0zmygk>tCr&s
zW_of)zM!OQ%mya`S<2nZ&&KLD17l6pl)LsSIk76HE6rR$`NWQh%cu_o4aLf!Va(-P
zPFcAh=pJ5Fj3_855(z9mfJ53iJ}xb&_o1^|i$iSYXr|xfxv}|JzCmH?_3!gnA?{mP
zA3Mtp(8s!81NtP8u8cdxi5CD{=07s5tJlx2sNN{C{)PSB6hkU!i<7l=YS2K01b0hr
zJwwU{dMlR7JdF%_rTnka8ulyUotKnpD|dUgFF51-HhN)HStJa!eyI4cJ8HOOoB?QK
zi-3qg$}{+I6x0@-ycPerX_t7f^u)(od4=USn+%h_SVg?YHrzI0&X4B8DOmFNtZ!gs
zcr(a4r);{#=7PZaO=GZ=Bg~aWE#=qzwnKv;2T6Q>mv>r{H@~Gh+8!^62Rr7L;yFDM
z2KJ>nSk5j5b5eO~wt40GiN*g2&m;$mjrX4d2_P38(6M+b&>8$&>p&vmjRym3UW~m9
ze-zcbKXO}JTYpfm4+j%H5x(IcTp%pa#L@eQNM`wn{HM=<HA{|ZyxIw`r=fAyz3Lw0
zqJG+}1<e?9(0CPyGiJJ4&wS9wH^x*aeSS1DAy22K!YQnot-ajhNmDI%7*zE3cO~K}
zpRuLs6m}&dJs2ODe+#;R_7!@NychV3$S4|q-IkF1+<h~(zqE65>7fVO`f#4OuC&%K
zTrCeHloK11^QT=;A{ZA(0*6LtUd%}D1*nT*$rE$Tu!8ycY?^y{z-RP@nOa-Z2KdQO
zf$m$5-1Hsl>D>k-f)KK|H$EgCECm-+b$)0MVx8WjYYnkji%d$-`Rn6Vkx~VqQ|zM{
zt1(~ezJj1(oYM<DN=lRWbajTVeyP!d`<@Rlifmg;tr_>*EyDSTQyRo;4}Zrv5dq67
zvgrt2Ged6=4}nw{Q`)|nG%_ygZ%0?uu4hEP)V>e5r@|rKZ^s)Q#qT5zJ0@^FoDKsy
zom8B%X$&`(Raj2~fF?3XSa_V&;rduZu|%~8kZ=BBVN6a-<K@l>Dey5>ph2Emdat)$
zvxJMJxPi4p=+Sn~hBi%-xE)m06g5$RAj5t^#4j|OE>#KLM~uo{;6Y(sZ)HRx*T-iW
zpanZM+bk|0Ix2HVkCKWj?}cxmp(Sr=n77ugEiN3BvtMkax1xYAYZZT#vv2qOZ@7;-
zKUSv0B43}~P8YJR*fFWHeXym`Q=x;)af!N<`>_>2{uOp*^J_NQ_g&-N;aqJk!?BhQ
z)+hT>rm!%?4Pqy!%U0EeJU$gLg0#62Fnml*VW4bRVY59LDOQX+YIT2m%M7qnZy0G=
zz!&%*ADE=2TwUKVEEB!R=-z(KH5$)MRnjg+LEqb(b{~eW;5@ChNe}yi7~1Wpcz^m|
zLyq^qHBomIO%0ppyM)E$d6ITZr8b@3SxmZ^bS-|o&SHlX9eqP@rM#V&YqK+BI80gt
zp4qI~+;S_LrwBBhDMc@3md&D5ENnXE`@L9}y2YnQ%{vLms5eOoyMvh^nu)I%6~t&X
zSqIpunax-FEG;cXqH>Chi);Q`hs~8vlRB8$_>)!3<#6!^liC41WC@K*O&yTGWq_*9
zHDj6G;b$WwqtS07FD&<;nboFlwUx1t3pF*s+(rx&=ovpWBsi%r5q6Kq-Dg<lhpAI5
z6{RExs~^LxK)>7SM&9Veyfxk=;zqUXn<qAy9l0r!wM6O72p~=iyT!po)Po8h35p|{
z<ecj2?u>sho7c<B7x?}X7Vg9ZaCn<w{*Sf4j>_tb`bW_RMNv>Gkp?A|6p$_n0cq(*
zx<MLAB}Ga=x<yK)L^`FB?(P(%yU%?5zQ6aJJMK95uRDf11_Jxpd#|<TnscsCc!==t
z-wg_~mdsFaaBzHD^i(XFIZHl&R(6&jeHVT84<pmd`@WT#4Yyr^qwRHhLJL?P8iwyK
zab!`Fexej<fRvO@5lAvg@pu3*l@K&~r7#&{W>!yO@bu06_Ymr&E`Bk*KTU+!RVaiC
z4D9aPDPY){4b;B`U_c478-e#I{QgyLI}vIcN^_laNP?>SaB4ysTV^!P`P-vb@#KWl
zF|JHcj?fs*9%??SACp#<F6@9j|MB`PU8-)3htp8}G=(9h_~XXR*7aHIUjFK54pz0W
zSi~!E_8S_6oi-=iA#!m!tYS%K{8+sH!*-!X8US^`LYrG&R>}B<K12yKOIU-$bMs4l
zl{~lK$X<I}cwg-+gMVQASLIJuDD?^E=Y$$Xc@_TRfDDH`20+16?<q>*^4zhO8jZRI
zQJa0(Iv4snVlDp4?m0g~bZu5<Q!-SG3QNltVR4LJbUc!^<k6gSVkW({yrHv4_Vyh9
zTjGO+elwaE_K|!-fJ#bzR<4Pk0X|^F=~ca_vtLnyef7I}wiq~GzeCIs3?}mfbzWXn
zn6eh=jxA}aywaQNa#asPD(<`LB7umbOI0lUW>a^F4Gbdoc9BeDp>=OzIO1qu<ghxX
zajHW?yHNU4ddW0b{C}E`+(!h^G~Xbr;-A2N*VOhkB4-9+v4w{pnmB5x5@$t3@MpkN
zo*2Q$%W=KFECBz(-LCMZ-{lSu%MB+g=uP@;B;{zzYb5oRc5x@%y{3q%ngP#d#})TP
zor}YMwxY~m-^k?Gd`<?2#$m!_WJRuVk;|GK$?0Ab?gR;6F{Xev|7|`JVLNF$f0~;=
z|1P(0k6o{@J>*z%x~%%>mlSk&og&)a^x*abIX63$uGn5Kec=U3e&ZDdEqiJvzW2Gb
zHqoy6d|PI&`Zxas5{B_H#k99ec6om7YP68uUEX4*#Pj0xme2Z3FC-@;bECeaBM4p}
zo9(<Ppib2?-rpWCIjyIrIWX&J61W6;EIOlsK&;bJvu>rUQU)GJ4S1hK_X+R=w9-<M
zO_RVOr)R=eKrkC$08(>Bt|V<hilry<Y`EcIZ&Tr*#73mrxW?z7JN1hv1_+4{(sWV5
zMDauv9rO=rDa$%JwzPx3tn4Kb?kea8OW$pm?3inbn{em<(<(kp$jQo>znbzu*D0;@
zgGHYM!DRFw-O$$RG{P4jDdsn63iakVN|~m7eyq-{H<AC0i%%V!PgwGhqZdwlOu@m9
zo8=!(WTgr;JUUfx0VofU5hvgto~Ev9cFk8I!mnQq2ZpC!A(xs~@6=fv2Hw8auoAGe
z<xM5gbxKRe?}=nn!~W_j;rKQ6i_-faplk8i{__cnNl%N~c&s3+#syd4tM>h<P$pGr
z7_-rm^M@62Mm=B0_YdxIc+{k8S(W}>ez}@a2z6cE+sk_?cbI1)LKv&uB2p*~CY;?m
zN-i3c_dS&s`8^V8Ln@^*6qxdOg9Z|OY^B>&bFCnLl9|2bI0X<@Q;ZqE!>Q6^F|pHQ
z4s5CX+fnwM95?W#f_6P-Z<YK`)=XQK$k?}`LdUx;M|+B^+%r8C?c<klOzl#nadvjF
zyWCPCf9>#w83PSe4g>`2F}yoW%rnW;-%m|_#3uIF|1^e@ABBg1&Z*$Yo#nqV8vi2#
zLgmfWz=9yLi3g}cZd7zK(T(4Yc6WEV-tJO?9tG-+8`uN{68nNtnJZlht>-6u9YeAp
z*Z}Ye{hnlgQE_ntLqp%PGESti^XdK{b8W?#s3?#oyfIbf>7Adi=XW%MYGHwUIlW6n
zTQI$lr|V=!eKXCPV4@?;Ic2MP!tJPdZ<!I0VWyuzb@5k0&%A>^7jv>Ely3~bBe4Z+
zAH~JR0jou|1Ckd_vVAmHRub(%ow$kdiqY47y?5SuyK}$dY^FAMi~|o92Zsy>9-goU
zZ{bQtt(=WdsA(E_cx~k+=RQ0m<k^Eft0mgcpCf#3-u<RT3{SVeHB+}($pc~{aAXFs
z`#Z=@3=SXvj+f-BFyTf<M@wmFFl}gjF#7EKd(88c$6ows@g!Q{Ul3oii?FxfDSi-j
zdP8UeI>{Xj^)!Qwn9*;lT-Rtw(aM?|Mn84(#X0%lpr-Y&T?8xA)6=^iZFa#)#8{!;
zbvPPcn&t!_mPaD~pW@>`1_Yo1UWbC0H(_#8E1FT$ACTAq_ek~Oq)7P~{o8Owu`>(H
zU~9*iEOI8Ry%!eJQsH2v-#(%qBwI;OXBl9t|CPO&SOdeD&FI7|2$}(Ne)*pN(6M*3
zM{WajU`j$tY5}-&$fgX~zNnafb%Rq7Dk`eihK5bRzX8cpwCB3IDafP5*T1f%9>-S!
zie9PRBHMiZiU$<R^zFR7U_%(Rqot&HIy}<Y*dhiuLsUxhm;fjVRR0myQPZY@uTJnH
z&AT=){-4;*vs4}0RURImsBy2Zcy<KR{F{@rOg!0Zqh#bMJ9`FDI_oY^a}`?qqrZM-
z=r7*;v-;>`804S3b`Js7|HMiYiE(Zep2r1Y$n9Ve3?v@dTb}vF^oO*-q>|D`EL5TE
zYmVMJglTDM)HjxH-Xl34wUU;R0Si}R1iZv=rK8U_220*ZhwPh;XTJvyih0q`dg)zs
z^go-6A5UsN;>+GQFP(V#gey+%9~4_2RS0V>DKeoujWVjgDx(U112ru|)H^>D$W<}t
zGp(&FffM{Ln~*&#lPM~zJ8t7325x@%lM9`q8vK9|zuPVTr$_=~A%B^5I%O1VQ+fsR
z8baC5PL~b{09dce{!=INm4vo@{QUg9<mJ}t>T%Ns86T{l7qYV5xMlQ@AA?F~?qFUf
z9NJT{sfy7utNwfY6Fpku6yZ-Rt5%;6vL^`VgZ6++X)tcI_rqJlLv20b;fYaF^r~pc
zw<Js*h^j3!Ha13m#mT|pIq!ric(g5WRRRE01_lO6Ygt)#6Eik|3o<2Pv`&s9W+rLt
zRD@jOks54DU%%GXm8(?bw<|uD_}$)I5WY%+4wzz*?a+=`g4F?6=kkB=1;<?3yVmu<
zoC+s!ybRF%rf1ZAeP>&Ba>mBS?Tj=uViS*|fR)RQ&~ZtNjHbjkuWD;@m?RbD_o-af
za(I?`ddfwl`A;Rl*VW|g$PGG6e4Hj9{`cBCk+E@cQRjlp%v<o%&nFwt&SL=C2|WJ{
zYj&ji05|uIpIf6!$aOJUMDN@;FqD>%t45fbua4`o1S}4o|G79V0~e0EHOdBB3Ft%t
zFHty8vbQyaSlrI;$9Ng2qgpUTi-i!uCvk8bB8Rtoa*{-GU|f5OYkL=Iz4yjczF3y*
zR!PUHfhx$E1=~zXBB#F-BMWw%un;ratH-i16N!bH1N2rbeQK@q*5)z1w?Andj99#W
z{k+lt?ocf_i<vP*2hf)ZYV}>zk@2l8EoBrLSakRw;3Hz0zExmEeTt){<flz>3L%C`
zpN2juDcR88^ux)c;ub*bu^~lzP7(F=n~2oEH4raKE-AyP@w0wxjBqw^q;zF@+3s}T
z3<18ts#ZnHQH6z~ySt0~+g1Q__tn_!-!O$1R$;+Xv81o~MlIn-B?_a$$bX}%R7Pnb
zm&TyLIyj>U59OUo6P~Kt09{AKC<xmCWiX8I3T%GEBO`r){R4)>1<R}7#N_3vhK*ZB
z)nbu6v<DM!D3EbL$;&oLOMCCA!~)1UV%$Me1hAUEB`D-jUFuLU5{>;EjX|X?T%@|N
zf`Wo1WZpQBnKlo%7s50f&y$>|e@#y(1BVMtXr*7jeux0YRv>1?0U4R#9Y~|~SHGPq
zr?DUK$3TjH1)6ONQ^TT@6M}%lv>7`Si4?r>F+{%+_`}jYj}&MOuq<jEoWv0~T`PY&
zS?z;}h)}lenuqsvrK5$VrKO}bW;CZ}wTo>|E6}hm+G>Hq^mnW{;O1STH+#!6aEK}O
z@mCE1J3+(<UTkaGjHl)lbMEiSN<8soX<25$S6$lKi2yJq;`}M9u_frYmRuY-7rVN)
zV5y(6@n0yhn%ROHdq<d4@ZY!*iH?*<0CBDZAg{4(CifsLrWY1s;o{;}I&J*ks=MmG
zyf|Zd`n1<6mdNp>+ryGUx{!ly7?cPYOONJdzAD@n;c@vF6rqW7UOX8eYX)i)@>2>6
z{q4V*Q$5&d|N9ttNHRjgK*<c(H7ihIlCx~=?hXY;u-!^G>F(a%OYjm08y+~hy>3QI
zLN<BWst)x&bD2dRa=KWqRIEQ%rt^3Dc0o^aD?=OeH+5a%C$hW$XRSVYdM=<sBc>Kd
z08BX{EV}GXqcGtpuw52lRev;98Pr{tDo`Q((%t;QG!v4Ioqeq=BEr;C?@_HGOo*Sa
z7b>ve(-x|N^uK${PkgA2OpUfsH7G1$Z*5RZjKdprUUo(GKXnDwO62t$ohGaOlqmFK
zi;<cs$Vl29Af}l8_)AzpHX+rmk`Tbgmsn1p_poPr051xrqoy+z7DU?5rSo^Zw2PP4
z9N}c05{V{zcuNC2`jdBV$m8KB|MQEeI-#kl&xHiNSh}?3buGc@g_T=dD-kA7s-9g&
z#PMHC4UHfpPv6sZq)H7%_~%K~w8~L0=g@%}a#3-*46oeEqQQcPgZPk04?69&co4Ba
zZ5@@@MaCqxwi*{pY3Zj!_;uorU4K424tCrJ9p6-#8foKx{{BB;ueAzzG-y!eCEyF2
ztdcnSztDXHkVNtm!;Dwb_FIgZv>0m>uBS-CcVONHRR5`ZUN>*xU0K2d3G)N<K2E@c
zhczx(Hi^fKmn1DYVhQgPPJ$Rc{(sxRf7d$Mn}hWCj_Fn!a(w@aN^qfPMEoL~w+pOX
zmX)MCLFWdg4&;`dt%Bsuz-ll8p4I;P2vYy`Ky5bdH2_+hN>;t)gODQDpVz~0bB(F#
zXBXrmugAd09+i3bdkLw({0(bks@}HIYuY=Gl!Lg~*x2sJa{<pxd*6Y(8Bz`NU~+it
z5U<DS?-OHQbYZJUuF}F80ALG7<}5n@m`6bym^DH9q4)TwCjUJwZ+gK4=CWmqXieO;
z0I=5!M`lS(+8@DS6KcA(injH>MZC5@Yje=0gkB0Qk^qKNK1bx|_u`JlLe9VW+<Hh4
z5s9V@OUiDD-HRMkBu9azUnQ{#cdd5D>nbT-Jgh%UjvR^822wA|yY;@nQO$V0Z2Euq
z_z=e-t$%YeFw54!V&Ad3ATl-iJ0G{%*xTcZAnJ-WB0q(f?kXGtPRN;#^-T$k3GG+9
zo7>txKnqrR!wGb?L86Av5!d(ksM8J)45JBe$slqY`s~w|?JGG^!gdSzOc*^M))P<<
zw1JYE6OIzPy!<bTPz=W=SYKbT9+rpsBpme?M26ZrI}I<-Pk?eOy5R&Apbzk%?OpBd
zFMVF2AM{<$PTYSIb;peU<0-t}f49z*hzZF1o$(L(-#u(dD65Vi;?=1O->~Acz44Du
zs!!*jUCgtMj)-i68Fjbl|FNNeHn*9obo@J2g)b;5h-6brHXj0;5-jG`?ScXWbCle?
zQ-NzId9#Z+F!HOnJn@HTlG*pC7zhO!6K*|MF&0SfE_LTiW5)M#@wrPLY9bw`vii|d
z`*8qqcwpP2-@e%z=pLco#gLPsl+%&mtja{b!e>lRo&*A)0~Zj?o>v#n4)kx63jWWw
z?=4SwIFqz6|4ngqeXU=ROA+Rj_xAlS8ou&RwmQj$3}XEMPB_JF)s2RLu8vUp`5(bA
zcV!aBcBV&7V$a-}DRBBnJ?3Z<LeUgc<xP1l)BKT$xB@pyhYW@Lk{K|go~^p-U%Lz;
zP7k_&W8Q?`bmaeoZE}7E2zyHKF;~@jdjk^_)6ULL(uzK&L+bKsmfOR_WB=e_NTBwi
z(%|9N5$p2Q+?^EmcRnUP|7aY)VK{`WYR+5+Og@mmntSPf)ohIb7<Sd=z1Jf%C|{j^
z8mfugByTKBVbE$$lMIE7h&xf!Jn`{BDLY;t#oIO9%_4b`EqAC@9jL1)o_w%lJTQb5
z^5{+7;I!_WZVxokz8Jkv2y@uiwY$C^f$T~B#KXo$sqYcI>V&^q%cYQ+A&^2J?nhJ3
zMBKFxKZ|P!-yF-~K0e&OhGcAn&@7W-nA^T7oSizlNg0W^yZlp-tV+fQgD~-8lfj1n
zjLm0)c{Ufb?9G|^osjQcE=Hy%vdkV)HRQ6!huciC#6jVxC{9ULfeIP=pUYw(U_Y}w
z3z<*Zcxv+Mg&HzR%1^Ege0!bkyG+Qx4cZ8ca#h&xWk%uOtagbEg=sG%>bKlCmd3Y^
z-&>Ff%Jb2U=VYN#wmLQy8yRHYHSHO^+>ns&Sze8LszO>Vs^O%gT#K6Kukbjk$=G<_
z$^_yO>Rm<nYRPEc>JKu~3Z=s->Z|2FBo^|Q_YDM?2$+A6z#_A0{c+(yI`lqpN^|d`
z_CMJX+J860sKIv+L&`uUkFPz?;%LZx;XH7n`mEpF-{~?@UC?@=A@4DRbO^yr)!l%)
z<n~{F%)50gJ+Dp7zRj)r#cxWearwKt{``TzZal(Hi@T}+HCN8wp7`IkEWhQOST3Xo
zOgxVlzhs57+eN*Zl-iDWl6EXMgxi*GU0$A)i;dsWByBhk%q8giV?X`YmKtAf=9j2k
z*os@J{!9!T*J*Q*`&b<>aQ5VEq_Yn=Y^p%LT;Fw%<6ppF*TaWXHfg)9e~*r}mf<$?
z<&CxJljue~Um|H~Tm0W$6Im>ZnU1t<{9#AB+M3j@<qz&Rm!v*MXt?mQy4vB7|8&l}
z+UD3NpY{iQ;fl5BkKI}7&E_nXmv_9KsK1&-M(RFClQZGU*f2$v`PeB#Ss)>c&s+34
z`Qa^Z4iZf-{|A>cgsUsRrc;rUTUfrWSSvlgb}SsjCVlfPK+&E~+~xgku6B)nUyLE8
z?u;|tm1%LQNYH-U?lHv1_Z$49=R2aZo_pxJbzB6Pv@F`C`M2+dHI8=@*xyxFe_$SJ
zVP?xk5SPyEZ{zE#50MZeyX{4VJmue$rKeCdhLcwRn^<xWT_qY6{}{Kc9WGD-eNT<m
zhIgmv&k&i2p&G?ZZT0(=DrUpeY;x{u-dGBCY!3}ig9|iVuHr>yPa@t=$v2jV$P!ZD
zCdg@nUiH%)84DOdQ+eozYBJ9NpYv(|*K`OL$ZTYhmAm~&amTT+`LfFXe;)aE<+hTI
zC*PeI8V-_aQY{5P?F9XF#S`OS_geO~o0=ZY0GNS#cW=qz@3eOYeU|-U)fhtpe?(|<
z_xL?!`GL4~Y@{rlWuG*%%qZP!VFZF4_yqh<N_)TX3SBJIzublUUzJS;a@oRhuKWA1
z>$f>3!zAYtZt(sj?WT;tWj(Q-Bhy)}^R>N*DfGB_%W7}ruxqDxvfg8Nc{Xx<(6zF<
zIUzcchK_fiEXCW+=O(nokkUB`ae-NRYLaru^;+stg$Bu#H>v%LA}*oq_oCrkbAf;V
zG91q~>VfjjZp-2f`}pA(-K^f<Gk4z&b%g!Udtu97C>E0U)>_|$PlKanXev6k?Y<6C
zakZ9JX4dj{2PfL`-~Ag5!FS^Z%NQ@tHD_n4SvEAd(iC#q=pQc@q`yD^u_EkeKn4I2
zV3rE*9)I(RIks($LoX|PZRe%IZd>2d@VVg&MT5TLvBA{~rpb>?W0}P<7#%vqH=aXc
zKEf@ie9TocG}qy5%F+-mATz~{^8iGfQ19}Pk^KUO^Ulx01r_5j{|%rjbXO5?EZ3g*
ze&H-9PHBkV8yR(<qZ^XfmjEa?77V4@DYsp;RWgWhe0J8=k&!KxUT7^RBWd26A*0}C
zDPCm3cP1Wpw(8zkKMI$imY|M6FSEe?gi_yv>-I`o+T{0l0j(O6_x8BNMC0*n_HSr2
z4{YQ{H(U;_Ynsxue^Hf{F*u(Udya~QeotNWR1lN(GeGSf3jeYE=HXE!+tc0wBNu#f
z&sg?|nA(Yks6sVF{&bMZ?w7m4tMejPrHq3-vQ`I2?O4Wlw;IY-YLP9f%RA`$`ow}X
zm1QeFsZ+=~3B8%yn4zgJ=~aal6;0=QKZPZ)cb%oX+R`#c)!Aq*6j(eWm>h8W>@6<{
zeFK;8JzfN1jv{Qsm#&G#s$WuSeTeLejV5b7>jn+*WvAxO+vO3{$%5X?$svQ*x^i*>
zwgXkgFu_#L-w+@~DEU>kTyZ@-wBy~_8yZchY&@SOR@pwW6toY?GfDP5JXUd_AgqWI
z)Z3Z+eUY)5QiI*T*^|XmUSsmoJDD=lo{{2xw@!YPfR0rpWn^Sxf)ug%ffpLkQ0XWm
zwcdiX;D5RN_#02>hccR+a|4mB6(r6nMFO?KdpphPX?OQr`5IfNTyc_PTMmOp#vGVX
zD}?XlVF){7t0vzHBVfzCZpBk+&-ggPu`Vfl*ucV$kf=aKHa4Enc7C?bZ^Q7!@9*Uq
z4nl<2qoqgc5En05l&#gjS}>mz-^<;nPB6aBciO6VByU;}Geh!)tPV;g&wS7B`{Gx9
zv1{uKhI)`>qu#BG#|lddC-hgaO@@6ht&&vBvD&4A9h3QU{pq?YVWll8W3)%dnK-5`
zCHHMkO^a#LzDOzEn(k0%T9%S5uact>)HDGce#*4_n3!nBoqu0II(6l?Bxe<%_(aya
zc|E;VH1o479}mTCTtyLvJejegxof-}TF>dCSYL};+zj1st*PL*;UDqg6nCWM;E76i
z6B(_&<TG}9i?F;j#EH%nYsxYzzUXAX<Z~c2qLyV?m7tC#B7FKil2f)+#l7e<`;@sd
zRGpNdNy3IX^Q6q^SD(SZWP@?Ux_7MEZ$(S9cypQ>N$vHPFQ5{mri{VspDu!0I;uXC
zcx2Qe-Q~@Kx||KoPfNeDJW`vx>n#Z)RXE|vEyJ3e>ZCZn(rNWn3RD~3sV|{)k|ZEr
zFFsDdhwe&e+$q{e4S}Tg&dytJg&yr*dy&&>|Knp;Rze(cc*N%$?-X(jXG)(RT4A83
z9zE3c7nn&lCJTvW&E<^L_3;1snS^PkrpG^BXt4vxlK&5`YiKUs0&r*CS<{#iP~=@{
z7RBUZ@2u4>@~nvI<DB^U?K?OdyyvocmG!s6F@f3#DQ=hnwIx)n4-c(LWT%aoOG*!h
z@0LziqSUuNNS59{Xlxx0b*^$)Nb1%O?36H>@tZh*%Ze4J^~zWi()%zt#>APqdWua+
z$^XEkBw%z^$toZnJB)bLQ{Gv&Ia0hPY_sZjpNA^S>S-`OWs75~pPa$DRj291V7Tv3
zOVFw`>d49Eo9K$cJG(B?{yXoDJFR!)t&o>3zXv~gT4`<{1plhOShwz;`tbdYrlYcx
z5K2f_m%4!aE!`A886~mh0cRX@K5DGUg!cg%N&nT(Ma%h#FY2D~qkJeQ>yn-+LwU-<
zhJ^Q;4YcCZVv55F%}cO-Ue(PSJ-iTrlf9I2r`~XjXFHC~9WDL|?d^zX#n$zrx`Ne~
zmOG}VK1Io73#Hcc`hPu21E%%eRv8ig&uo4f&I})qkFmMEHZi`tDk?2`6L^w)D}fJp
z7k6pNoR!eX9|ZrA(s`eFZ_C2iF`mY0*wWLD@3gWqSiLei;fTIY_{00;dz#b9A9C~X
zq@0rGdvM<qeYpQ1l)U~^X>ww<ZP*ySQ?%>mU;KjC)`qw0{n>uGSIE?$JWO-Ky<Lf@
zU$@y$53FKrJ=9$qjqZRsOZlUCkLBs0h@5UrLqPXhd@P>VHb22juXwgrYrEx98N|4=
zSxeha(zf+d=hs>*NT8s<BtSZtME+p&5j!_=>ZI}<o1GE$jg{`H;D-Le53r<gZ=VWg
zYMj0{(7*P4#<**B;yYm+H*5C|@onwZ7n>Pb7Tm&Vtf5n(ufKU|R@+Thn9<Q4V0b^|
zlQnne!4P8<i$2;yXD#i%OL)@qI`lhl^RUg)rxeP@tOPXN6@Iw{f!gYkt>Uaww>Jm3
zk%);NR~LJ>6I2AF)yC??*C(8jkzDw=GAT4+%*z!kvX9+1@8chkj{fA1)GTS~nSQT|
z<}e?1NgCMQX?T=0asI#|FwrZ*F;e15=>wW-{_n&fWgbhorn;N-geFP?NEL$p_C}-X
zvF2Z8-i=)cz*%Zm(IMjhoyjP?L4mVRWPR4n`BJ*gU?iWO#5H>~j>d6gJW;Q40t-K~
zWrW-+FT%i7L|Sxb?6pamzi$A|XTHt9#!}Xy-wj>eUZ5t{NY#&3A&yV0SeK%vUCy`%
ziUQC`E6W~IGR9zJiKu&W$BqtuEb{`@f_ur`c+&+;M15lkm^Ay;oVwky6}g4aIQ4gX
z4;}U$4PL9t-E=yjQlwc>5~UK<E|+jIk1rK@KxYaf44FTz8k;ygtG&d50{rk+n4+3|
zTV9Z}6n`{Uc#~+EsucCcuhs&}4#wGx=E&{M`ClQ$WgV8ByROf6zfkb-UQBF_dY;it
zSmR?#-mx728+iM)@i1UY&uf$vaaviymglH>{+Bd%s+O{N+;P@Z<w4cf<Z?k%hx@q}
z`L#xa_TQ0xWy-~Nb!bL$qv>}KA7p;#a|%2XKkS!C0Cq)nZ&%n=9&dgB6Om{AnP9H7
zCw62!c4;5HHGNt%VXD8Vn|&ebts?>lVc1w$&y6#KACQH(^mK$fFW;Njalvsr)Y6-o
zo@I@>zCKe&y>+?Ohxz&Lde2_#7Omvw#AxhJA1&pl4!mlClQP=Uqi*kTmlK}8`j+5^
z1`3Ks9QC^S`$G7a8%k%+=D+bfXs&%qQLX=At*dhGXVKgBiNNm1-k-jnEGnTGN$UO8
z^{$L!=ae5u1KKqt?U3l~Y}*=6PY@GuRWo{SOc6Y-zI)xj>=B!43*@ffxv-uq>7R(X
zYF2PkaJ-P7BO7ZD06^v=7`jzwmGI;!adTs`6b5FU`0kQ$_Jz!!Syc(dBK-VtUN58~
zgpx%`q3$_H;jFL*qz*@Iq~f0)H088rLrc?<DK|fvY$y2xBCMP5@)WOIe@;(|?YyJK
zm?ycZ>cp7Th&@LV`goIAU}3rCnV{D=&$Ia<CsLQ@I)1v>dndU-Zc*BmXig;7V6}Ko
zJFQ)XiD4iT@-ruwa%q6&V$_AkmzX79Dt3l&IBD^_)+G<=c@wHO7TAxmtAJXUo}S+E
z>FLgIDSES|m4<gHwa;wJjJh?izr6^#6n&BTX0~40Y4eu5zEIiG^pu2kcOCislP6;t
z$-1TPtd*4t({J5y$Kp=pg2h!;e=oC}1lFbazfU8(2q>G|+iKn0l*+9j)2fy|?XqC0
zW;t=b8Eh%i<0)WXV|`tOf86njK)U(L>%gKM6m2&*lsAk|BRYfUCD(9`4-My~YGR))
zYT_)gkxi)R>0uMAB<lbEK5dw}g6+f`ib6TAzh&ASLvG1bvhl0_2FbXGpUv`?i@v2U
zLxRMcdVY$=NW|)3&5i5gB}T3OL0UZaF;XTUBQHm$$s0bcjKf(NYq<}t53fr^l5V|U
z!mICmE`hv9k$?W*Il~1STiP=F6NxL^Hac4Gmj9y{BHjsD#j_M9p(S@asl^i533B^%
zWflB5*jE;FV3O^&H?&K>qUF9SXe)m<J?(}-sM1U6Y>d7~=}KT5O~2v8uaT;hQ|>Mp
z%^aHaxFSElTI{V`5wsS?$*vCc5kYcEIjfrWU*2DsEsWmM#8pI(df`ixRe0X;qFYof
z%5q?8C@Lyl9OV;z%)r{25uSjo6&?w`oT@5*@Yl*k`WNpX31RvE-ge6@zruS<nW;6Q
z`yoWH+VQ#;1H*^kgMSgfiay*5eIbf?`ZW%1W}orWnslH7k51W^I@Q_V(WJQ#(Qn`3
zJT~XWNH7qi$Vtg%yFk`B@z#uLQ}xubNkTWw2(4SsNdJ2{2QP=cacmvFL7k><PL!AL
zX&Ri7g5){U8==1bImp-D0@;0@O0Ka)pmIXjg4zBG*i{1+_9mdoEg{25RzwVXVsISU
zIxrA9Q5KZ-U<#a~02!|Gxb({x3cyG|KQ74+-q`pR!|dMbgiHumo2T!%7GcV`Yr8nA
zkn4CZ5$fyrbJ-p9XmaQZU-ljhgPlg(Z&&yEi{_Ygv(et*yY#Yl7lx*BJMIU1e{!~B
zx~G?VrfmA%-sDCAR4wb>#K_jdOoe{IfnKx<jeE7JbWSVTWD2i6p6Yc<l&8=7#dYK*
zWSz#yS2c%|uT$M2pFp9vz@=!2I6e+>6!oW$vNU+D=I-&z)m%2ts#!Gi>1$D_jp8Vy
zB+AK?elyRIyk2Pu$|&vViKJwHY`9yWp~n7HZ*qV0=lW!DtyRK6nU(#n9Y(o5<pa{3
zdj%nXKV}3zBCKHDY@uN@_%nk#6~fq~scfNjJ7}rODoaA*>}avKNx&*lu4}$(BTJ&=
zcVk@zu6@eZ%L0{6hkb`foLBAbC)e+ae7x#<<a5^YWc95}p|KpIE75ZM$SJc%(ZESI
z`MFMQ;ydEL^9tT~Y{pB1xB`xQDnBqT8SNrtBeh$G<ud7q=8oQVh?*F_&d%*Horyl*
z`71$VIoY{1I-dgmDkMF56ZLzw0)U}S8@4si%^N8g=<14Mv9?kt_1yWx3x|BS!j^{n
z<5pJgt#p<KiE0HgjR?f(j5Qpyc~%oxG>c~{bNbl4E;jb1qTW7_4skI1+d1!fy^xK?
z$gZbUdacjDX_Dk{rlxVX1EtM6idmg}qy(>vglM-rC0_GE`3p+o%)?!i!;eXe9e8SS
zO0_bS9{kJvGXX=i*D7#hcK1nrT?=3)f_oB>t|T@tKmxS|G?t-v-O!z1j<W;jZy;nC
zOvvVsv~oviYadJ-gW&g$jET$T##{#3#NN8z;khfpJI_cr*2SgTXBO+-`-J>)95raR
zwtqy$K3||bT~qhsad22!9wJa-E;v5zm(2K>Xh~RE$paiaUr}!*@s9xY>APw=zH?fZ
zbTp{VugS4In@_*E%y%K;-Z5TmsqR+VSqd63RU9`yk99Lk9qx4~hN<wBPLdD?369;n
z-*bzAH;<UKs;s`i0~gMifMRh?*g(x~ku^qmOR$t5=o{@m{d*<yvYr6d#gXJcY}rjR
zTs(K1U)@bQJLa%WP0zyMeruPUqUmIJ`4s5%nfJEpGp`GsSLYnBFhog={&WE!7gPfg
ze%DjZ4Am;*#rtg)Sh!t1_}6X)$~`WgS`Q5Tx{~WGcBN;tF{Qe8+5SO7wllH&mQ4?=
z9C0REE`j7t>wmRv@ya1-E#Y^=!bm6-pvo9DT+we_shXkXrisd6j?OAm_zS3>kN003
zAMN?rhb!YuAdZar7KVM(h=;GeIrMyH@+F-BQa<L*vF@O}iN3TVTt&??qmR18z_JH3
zhTxen)KBNWcy=V;J6#OqRcoi;dJiV<9^fa7iPOyu6nSuCxd+&%y^@<rOI*J5=i?WN
zc4lw^`Yw}ZojY=y=Ur43p4IrzCly_Q7xwl2!MlkGVs3BNhZ%XCH#-AyX(jnNy)MtQ
zLhED1L3mucGsJAwR7Ub|`isK<@d$c8mVTGt)%B_VSHa}udt5vk*9(m%)*-cyi1;yD
ze1@LDp;KRz!&p!~9`M(a&|X(VIn4#Yr_$1QR|UVbhsxePo(q~XuPeQ$olq?Jnk+Yl
z+^F%R;?gw4Y_u|CCn9>&m5r6oaQ<KBcp+y6KlG)7duGp=o%Sy9tIS>-w8TEq{xdq0
zz%-o?DrO=y%v6gyd|sq?=Q|JPpXepkfXKGS&fp5)SY!-Cjun|~H;S0!L7Gnh8+0LK
z1SXU=7fDi$ip65%2<%qR>zdy{2M(=!dfrdS>d(cz+^7aP`lz8*Iyz*PRq=Ynb5N@?
ztq4ossYBD6-@V`psVU8R^-akT?|v$Ml*$B)MdfO+w1(P;rC~S#9n@Q&{M6jKtoZfu
z{FDGjn=G@N*sK?I^ViwMxmzpG$P=Kd!f-t_mXUZG$XyZp2Vd7Mzd(_%-k$PF+}N3O
zWPyC|a2hsqnUx%^IBkpLfdLrtd^KFL{hMOQ&$2f&axj-|a!X2LPC`Ph{ot>^YqMEM
z(R(r^gGs4y=2@B>F%f6sY!bVh)cCWDtp4iv`S*<dZ!SJ)qkr}SXa=DyNt!Gs2iA8S
z99fP{dS&UtfrHxI*^2-<+=ee-(3|N7tqypEwg6#cW|k2-eRZ+rwKP4`+xrP5>F$av
zkNaS%vsnzZ(yU@i$lbI(HN?uo|Bm+hytSv##!iliM<d-PH6SU8d%$Er)maXcgh(?T
zP%IYX==XPby&m2n==0|$#}8XxS$eR&be2%zxUrL7E4SAeQ^mr{bh#}hldq=#UH(4H
zw^rej&@(Qt3r__Dt0>OW!9~kx=INf@<};SEXUiw;+N;we0f&r<tFv>#TKNz6PdyH8
zFbxlVbzdHFh^VV5*K1fRsgeu0r(yb`Q~&T5rZAvaneEz0iG20SHUnelMN_7}zTvx&
zk|!_CxEVA&KEKEf>+k*T+b+V}Tdb{^41%}Qo12Rr=oNNn0v1PF4S!QQ4iDv$f}_H*
zi`3Q6Jr0QKZfNBXIvM~^*ZAg5Fk&QDm7*6Aa1h-nU5iiGo9i^)lB1^=7w%slrY3{n
zuiQRd@klC^`8mb=GPf?~;(}u;&TjvHH+N3U;E<Qy1D&S(*H!$*M!{Z4pV&*sa^b3N
z?-6s)vb+lc^VZbM*X|?`2vD9|xS{DB+Q?<KbO-<G{|H(}5fLe^eQt9M80F6u18#C@
zXubi0GP#*O2of1Cb*%2r_27Lh`Ts$1F0q>2AbJ=jdF(k}D4uLz$htBaQ?Ppwiu;|{
zF+;cr-BGhfw%5^tj)nh>{2Lw9{`PBg`xlsdBPN>1>&1+SpMRzzOlHU=*G)9$hdTi{
z-7FV$7|kG}qO&49NyGOH1x{LA_xI)+3&e_NlR~rv@KuUt-<`es^84_*I^o;%oeRCo
z<IATlnK$`3)7WZm9?uVq`$b!6y}JLvmW?KmF-!PXjc!qjy3CO!C!pGo?!0B?zIj?{
zIZCcJM>X0x`tDkVw|7JTjg}wwK|z!nu>=u`hg<4LpZB$D)$N0AhDp-j`?25#lrF>_
zcKsRr9o6k=-L`~IF)%RZe!#;S5wW_l*`1iLUC736@T>2m?!9Z<?o#BnB)yoAle;fl
zHu<#zgH&_#Dpz|_>7{K(qHk|*+^S%Jb3QEJ-9lSB*=|RNuhml)WH0;Hv}fEcFU*ke
z`Ql`Oa~!q9B~QGl#F&oqyaWJ58(kebys_*YOq!7B@%pLKALZ+!GhU4QSSR5E558q<
zrx)xj)#6e{MPK($k#nnvcKbp5RcGb;+T8E`>5XHDJ?sV?y6GM*+rK!xOj8U8Y9ed~
z59EkCGm9UQ+^Q9EkQDP9=d<UH0G7Mw;!ZOz8g@c-J7@soDE{K`t3>YnQPh#`g+G3{
zp87|<Hdoh5qR8?dh$4I7uumi;UeGr=laz9;mQMC`h^ydJRJi!Cpz<Jd3TESEe=PpY
zYL<#O6Q7QbEQ*CEcXzyQsDWvA>j!+Eev>!!?phl=R`d0=xM#LUo~#qyIwoghxkgMS
zsssEI-S&GJZC%V%d^CRSZcI5t!wa5C<XWY=Dzz!`ajnklvb$52k!taTtY)Te$$xrD
z@GYd44_E!a7k;WA<+?X@*B~*48I&!kxQ}*58l#rps1b0EP#IVmHa!emK7VR?tKjcw
zbIyl0^fG1qW)qW0ZMEm(#GL<~#L)x7w|H@skBCccw<|cM=toKY@8K_tCyQq}8Daw?
z(`UEe1<Dxn_YY@W{{^R3t`(I<JX9Za@|#ndJr6?=tFx=VAfoZs&o43fBg2@@tCUNC
zbcvKH*Wo5y9FKj1?g3Ma0MEoObU;6T{syuE!vhJ;9%xUGwoyu_>2w}%YA8??Y|__$
z?T5yi>N#(3O%eSR-_+{zA2G4~V8t?u@))(m&oduh(v>8;P}1Aq^W;lPLg73%T}Y#?
zPR9!WEGw$;XUrw!dnd|=mtBi?E`QW8-Ie(I1!ni6<Sg0PdBX<(ikndXFN+#k!bU|T
zCI)9^(ayN<-4zfJ@C^t646mrWJ0E~OzXJC2r?qy4<2~)_#I~;AiWa~7z4!@2^gpab
zA`n#WFGYovnCa;B>k&3ip4+tj!)wehZI4t)tazT~IA}F2v>W<aYQ2pQp_fa~EodxU
znHaD!wa|E0G}nmlx_23?BRVBD-<wbWcib+}MUc%ZK+8J4>TI{JsOM9p>T`V!4v;9=
zVweIO(&ip6!xg;O*#$wh$@g{}yqL$HUaa7J{9e6_=i1R0z0-KAcwTsUe>u}%nq)Fm
zAV~w7(G`m}D?Ps`PaOBuyKmx;+>$U;t|b`QLw4+BUx?|$gt&5bz`uPe;ytiA(A7<9
zpzX1H-!W?%!mhCLn?rMHN@q93wC+(0Wlw?nHm3#tIj^0CslJ5PXru*0MoY#(LyP}S
zv6k~^+4~NEIeDFKLaT>nO7-g1ZaH9=p>=GC$LA^I<VdiNSMWXZ^V#wH9O#u+mwI6$
z$nIJqdk<6ET7=76>OZ<VD0vIFJD)W44?GS0tZyklX>8}zELRxQETJnG?1`Z)48!yW
zNKOD44pGQi9M02J)6ifAzw$eG?!-bt2tZf&?O$l_mnSQ7R=KIE2ml={+Hv2wal_Eq
zm?BE@&xyMU(<X*!8r^q?>Zz11iSREU65gjhvtE9upy2yM;sR5-KqUm(c$gQodaT_1
zvfqmwe=w^ppzezA*Nj&(l#9L2rWU97%=|1Ad0T2m{a6Ngv6DXk`qhzk?!k&$@x}N)
z@vA3M*`FmpE?&{JQ}Vd&tv&Rb$BB5^PL~=ULaiux8Tr%U;N!mE3w&p;L`#|5A?HWI
z6+u2XK;g5AR>l3du100>)(GkHnPUJ8TmMQ4zU$L(y1XRB@lS1xZ5I8|t*514A0%PP
zP6lPaIUCVmSe;+<R!})zd@uQmPv)vFYy@rHCh=F#Xf!ql+4sB5ZXYvP>yC>vzA>}l
z_{Puv+N$stE-|jVU6K$nk2@l1hMoO5M;zCI!dE8(d&#`9xtJxIW7(a5>5TS}_IeoF
zfLW}d8R4IDrqeH48>bVT`dv{ShQ`Y7Z%dsI|1KuA@=bS7zyEa1B|H7Z?L_xoLJ>>#
z15GWi%$z9p0gbYZ++qx?@5Ddejy`6^Fht6$anq($U*q;76Oel))Lg4;fMe*=<@&Sq
zQ<cYcz&xD1?n*{4yWM-VuoUK@MHl|L6QT3~FK5WfV>i`H9k{b}Y4`E*@$pjQIc=sD
z%cg#sMbd$Cc~neH799hFQjQW`ltPYDb4$xN01@VXInGsb1O=9?Qg)kZzM%=5x;(na
zkL7C)hBd!|7|}PFJz2jyIuuWik3auBm=!NIANr;cc5wvK?kGb5M^^^WuF_o+F8PDK
z9>H9&!czhX9mbL=pOKSUN5M@F)82<ez|>X7rID6D0M#OPuxuEDi-N|bB)f5Etaxb(
zr%f^)FK<=naZ{e>WGJ~{{y0!gDZ|!RSF?e9lp`r8r&<EkFojkS<yXzf%E|@ElG<*p
z5}mSkou_sQI6;O~hl0vxHaZ4|vXhe&k=a&nn#eb3aq#VyA5Y|rB5}kun65(EFB%#f
zOD@Z3tjDYJG)lfLI?sVgwt2}8cz}KDPUg?;E3dAuR)SvXH^6V2{+w!R5>=k5^<W=g
z28>tUDOj~V8#h+21}{2({+h*=i-j;j^XiLAR}4(df=kR5I;vMW<~>gWhH_Qe9M_ae
zj%Mn-1h3z`^VpskM0!A19af)CM)b?bc0-4)=_GhjJD~Hl0~(Ss7154JW#Y$`wY36J
zJ$QRxyN}*XIaJlv)g@Kxg#$Po2S>;7%i_<G3OQc^?OCC9+2(Y5dTMB5B3Q(jqx2Eb
zO@NYz$_Rjpk{J<jfsbUx45I2*#zsbSi;JSt(suy#EXS8AUz~kr&-PCaAp9!j+EWnN
zSzTYJjBF=6A$2{j{ZIB5E*taKNl90i94Rb6^AaKie13aZ7vsT^0oY4vF^Q|R+$t%8
zvpQfaYik1<SJJpliK-OsOu$r*B0M!KD*!kM(35(6KLcYTYGtdadTn<mUNQqoQa}Qw
z-CJ%8Ye#{-I@E}LeSK<bYNou28o8yOG?G*i3K!y51*;00Gp+H<FSiyNXUyoLzHNrw
zu}}l8Lok^8nw4c>W(GRf&%~r{3n<_b+)tKb_BSSCIIPC8u(5?AY2<2k&V)>^>a3Iu
z&wi|~uBN7^?=^AI?>?drm-r-^vAPz0v973+0Pkepr{;me(Msk~54+Ko^6=JiV`t}Y
zXO9c72{v|i55ojB+F!qS%V#!dFS?>=OIvF^4Gb1&tqa=gLMl(oXmIe-YF&Eu$_fj!
zBfUC?^71`tR5*78%>7-++0*lrz85IpKK)<#m#T9>J_tAiOSbQuGCha&WE(JPa}SPT
z6Z!9t@W!iLoc)iXL?fucgMpV)=(3~#FWdN^pBQ}YXd&?Yu06OOMqE`@1Ri+2k3c^v
z*$|cTp!Kva2|JFvEj;z`GMZhaIxPOtw0IZRR=V-v&{2^JUSRIMB}SYqg`8xK{XEd@
z*Q$2G2GH>4Or37lNBsY}0l1BL<t_2vfq?;V=zLPapB)+(6QjDelbD#Oa0crB9|b&4
z3$3SkkiWL;qNn!=u9Tr!W{tesJ2`<9QL2^y`)T6VE^eLrVDDwcfe!#MADJq=z~965
zU`^R>rmgK3d^#%|+Y<%`)Q|M&ms?&}3qj1ay)Kjg_XVaDaz8c=Q88+kA~m-X1-+6j
zM)JcWB7{L7v8AO2%+C7qG&zmC6JLT0Kndx$|MMQb<uL}&upxzpTKV6f?AvP>?5n~D
zZ5<s3z-LG9eZfQrSBIN?-*VV4t{-#0e|}9!<;II33`WTp;@Ei@3!z_<$3v4uv|mk5
zq&te_E!=T2pNff_=aPM4n^R?y_$`YR??skIi9*ab$J~c>bd(R<zA&`!o%!hIqvA*i
z<Jh(Danr7Rs@`(ja<fT3V~R;|yLtx}-LOKzl$gk-MO7Juu9v%$g1~a&@qKi7lt+Ag
zB!Pi}v-UE}%JTB>j*ne@eSMz;uybmP6iyA)s+<@lrKHxYT%B4;TCvClgU9kg`S5nD
zgG|BV;v!F8R$AG0Zf<Tcg=mOnF~A}rxdTy$i<dVY41SJheK6mEeiRR*pn$-1>ee3s
zqO%P=Q1_=kJN73tcxSZmJ*_GB(f7X1Ko+tS9A{%ZaLB;*zeA{yWpsYN*F*5k6bpcg
z2n4|GAyME03s(r3K@j|Bx91w~Zoa}ecmyWA9;f@ie9$lv2(a9G{N#xcSaB*SDi&Fc
zFhOq`CpkI!K=T!^!id3#F!GirA-bq9Kqhq^Shouv7vY^<Sqa$PwVSKaVhWI^5rLHs
zlVb;%Z4|7mIB1w;zCl4j?d##~hTFTl{Rx|^rd1-AQinT-SO)JL=cPMYj2Wa#+`fc}
z>vy69F`x}P+u+S0S5#E=6ZFvmuuh49ZBf<Y1jqr8ye3Mm{`6-^iHa&IC<ud!_ro}8
zF@!0Q&>l=j_!m@HCkhJ--$JlkjeiE{pOC01pu!F}r=+Z{tx?}mP*Sc}WFBTP{Wl1;
zU%ygadk#&{2kNyoKd&RQVT%5=T@b7Ex~koN3;wDyiCp0bECdmoaq!EIFeo7rgW#df
zHZ)qvFxEOD6^yOU(cMI5&{AkvMZ4^>c$=sABarCKQ*NN567UJ>R=cpEJoFP5GBYz9
z>W^X66hpNA`t^Quvce#gZXyr1s5FBUa0|}O*qW}<l#r8^%?}_N&#EL5aX)`*e8#{p
zR2Jhj3r3ynnQ}=y%BziJ0`8{!yUhY`e;AV6Ftdmmj&b3-1rs(#Y$V4ngnRjPe{cBp
zD@}IE`R^zS;`n$W3}RKT`5!jpPJm4S#=Ie4yK3zxlUo_m3*tF!kA1LRoBxTbyWVxw
zz)<ktTVZiCL!%SCrWylXK6J0F%uJ0+9*))skLsExf_ht;oBE;R$*F7!&cG$$b3evH
zU=b4Lu!Sk)h=OArV)l4vK_ypHL{UpC7=X|yy>$iDIJbe(ap&Dp3BmSGBf)~x?A;12
zrt>_7oV6mFVUu=&WCQ60{?<4~EH}Pg)TFU$*!^#LmD$Yb*a*ms7t~#v@9?lI0gcUD
zBk$(x(OS>Lzl3)7_IV1N#zX?11h_Gv^GEsY8Q^zu(EYA~PiYG*p*KK>iHvFAs3(p(
zGLVq?(B4t;c8_Mf%m&j>7$rj?5LPZQp$S#<wOB+L85<)!_*!E*?3>~U3_6vTt&f_>
z!uW(tIJUrgq+#ar^3rwBtY4?rJrGFMK_j`3Se<lL85=DzVIc=f+1j!&>DJx>@0;u)
zbL930ek`jXe+Qb6KQ~FN9$TZ)A?>|Sc9#(EwzuB^wKA^y``^EoAci7Ue*JW+$~hdo
z?s|LWL5+J<OPPZnRtAZIO)PzP6M;b{t8*3Y;lG*n78Y;A3_Jg~FLoMBtetPF3y8@s
zWeITuK;82Z6VpBT*hV-P3QtI&*NWhSngM~7r8VwJw%Y$uL5dhOXKx854a$;BX#my`
z*m2V^uD}Xyff@1!hO*l8f(RneV>-G9;0R(75usBw#OQhkmRO9$zr|SVj<Bs~QTat;
zOS4SC7M(H9U(`w|*Bd7bi_u4vg5~5O<?1}Emh(MJ3qdh~{ZS-f|3RTa97uS+Cc8Xb
zT&b|vAobGyG0E@!qZWajm&w6K$$g6uPJy$(Y+zt>|9P{(-_fG<mj|T$uFt?FW~ZBX
z>p4v%3IaAT$PC_tYX$`a!yN<`IeFOmxqIaBuci(XTVpvE<AMzxD;Mu>%jATFgl%VA
z+oEarr~$edJ^uxdsqJm&-?7IpGZen77vFr|?6n$7!mY3L*3AYDseu8G+z13xsxvm0
zAn3a|Q;fmb4<p1o7-xuj{S@mgQPd0d(*}16WfR9-gX0vnkx!m(;Gz0%EECR0^hXQz
zXkwh5ojEnNL6m~#JSi?N5OSnHoiTB7w-Kg;+1Q^YGscE(<i2gL-y`K&?aUe*QSNv;
z(b$S<5Usc2$@=su78K)c-Q8ju8u71;tSU$g_dQ{^tbOxj8~o5&EQT2(M~puF4r5|F
zbo=oP=0+)r!SL%YuHq#EHcrKf|1%JfS~X<Q9OUgz;oD4>zjxXg|I?XOVPNp)O`-DI
z5EcyMJ+SsMFCpTzp6op{MenLT+}rbsiHTv)Z3}MtcQ;ZOhE|sF`HP;xAt88|*UQX@
z=sFWPdnneiG5-79=oVXJH&`3)fxN|UA?bBl&nrVb-?Hg~;$gcHQxK7T%#Xnq5)=dt
z?7z34U)9o3knlR)L2OyD%q|2J`Og8p2_E$(;-~r0@9ZCkqxazYau)sf!2~GkK&SkT
z(DB6RR(n4(xEchb9N?P3!!8?}SJ9rjP_?YR1QIVwYI%9N#vT(W*CRf`2SHJxDy3Ut
zM~(6j4Gpc*ekJsT-a;G)7xy;eB^6F35FShR!4U@=aqT&{@E*vEWa_Q5AfLBXCQoG~
z{&FsW90w60nc;ADXq7&qC$~`#m64yPIZ(5VHLa~?24G3$K$3*|PD@++4;b_qYnD~0
z{Rk_|BB1;soyhJ>!1g&~f}iEzau`}%UhaoOTR&AGO5Z|2p=R!(BQGzXX9?(mlamu{
z1p2*unV=~{K|%NANgC4l03>2jQh}ha=~hgX_~QpF`t93~5Q|$|%nrTCjcaR0E`*4k
z0&$;^P`!t}L@<-=-`+3*jy8~d1w+m(dbBlze={F`xI0Bq4mi#@G}lf;2f)+oQCR-3
zY}nS|hVTy?LGeGBNq4}L&*Svj!PZO))Mqcl$oO#tm>C%}z#|7LFx=nyS`|O?6ZEki
z|15B~OlM0avhNeHDQQpC_>&+5qDuOSjV`43tENdyz@BcOn9ytk?x7fKoU{u$<n9H!
zb)}nP?D9Z&90X?^y_w4L@=sb!_|r(KXNcMBRq;+)|Fiez0}C+EV03IO4$P+7#>Ujw
z_rOF>UR^z|+h~wOjoSQp<GGlae<3578@qdWSh(lu)KreMnvaJ)dGbVKCO|mtAvrmD
zo(Ht&%s_EYWn6zCcD&U-SUKAwaZDtb@Js%Nj!39@?Mo8e5D2c5)o*d>Rr8zr(#3aH
z`zXsRE0IP?0O}Qk^6INXZJsyxPs=f!y7OHO5d87+x>(nh0A#B)O(PhL1R<9?2wJ_d
zv-`GX&PoaUSnS5`!NCh*;cM{L!yrGN2b(mPo%tKkjnODE_aozXeF&xN@kL<{kt=Vi
zN^Z$z_wV1|SiJP~(q46d;qNa97jM9)QLE0A6nMIj-1@+529<tnGP2MoikT0osG7c>
zY6ks(Cwc5-)S{vX+P7N>41yut8gx#NO+UH*zhB+kK}|ybH}ZSMC@^UMehB`tM9B3L
z{`V`vEX4J=4*&ZrH@E-){3~qrkOqKI)Kky%<I{X}wqEdNfiDZ80dboD@g*`H2o&{(
za%#v~8SYfM!Qk4?9199AXk@b`aJ=0$gjCzb%`N@w*QQxJAnb!xh0E2&5u;iaI&3&1
z(6f|H5wO~EWNGB{JSSKm&O=&??EJ|}(Xgsn4jzH@8&MBdd+^%3w3S;3a7oE<pDJ$0
zz6-nydzMTBmn{Y2AtxvPjOSUNkP$HLea?=yETYQ3LQbv+#mXe%#3#XvKXNVyYk12&
zDVUIp!-;+3&grz<mR@hFP`TX_dhN+F@t$flON*#~D{AL`KAPA1jkpfR1MnmKsAy={
z5fKp)cj(gFS3ph}oJ};oTX%9885`@vE)BCtSXw$*dBkedB?-I<5g!gC_*w|qXyGmm
zcHl0t;V!!d5{2O5xX1)OwG5`ACqTmIf`xc$J;}wz!=q8{*;#5iT}?<Ag$~wo?;(s2
zjo5U%41r2(0;lcfBzK2WEZmwe+!_J$)|%kf_F((Rh?Blqq7kw&Q8p6m4EY~y_ty|L
zCX(Pm7$SJN69!TM0ma2^up)brdMnh_LKzB#S_SZ4gebyiq2fingKo`pig42!GCr4w
zi#<I(t-zpWaosnCf(NulFzhNwAfF~+H^0xMRW849`r#H7qpQ<3ypxlYvzwct)>D;p
z>jiZ;u?Zap;(=+X2j%eUXc6V))YPMxjy|B~O2<FDjnoDBHIcuwJtv~4si>e}-pT8B
zXbH2zVRMpD)NsG@j*#f+4<ii3>%r_-JbOT9MT2wsot+&(5UbUB^7A;Zp+c4ioIWU?
z1nOb;^F42FZdR*wc!JCUVL)MeQPR;#mZRp;*|+3E6b9>a$eE#`V=;pg%racR6PtQ1
z?6!HU!8IC<rr29ZV|0Z4>({SCPQbQQ2$2o<&NBf2$RKVZcbeVpZR7?tSB$hV?TBH{
zjS314r9s>$C1rFkb>7l}XhDrERN97yq9B}==wOly+}~|&Zoa*a@*KK8iAhN%YkOsN
z7cwR_9UUD{;NIv9pj!`#%eCiVi#w>^`WrGAVNfel^OvTfgh!aGf!ns4sjX?b$PEG=
z36xY{U(}knAf40J-X4hPh2%9vCm_x9WC>r-Em^?h8=D-|8MhHY9RG0h4#7i9w<V7>
zB|2m=^*Jd?208>32&$Nlmud31-o`&O6DA}i<QdV+ccG>judvT56o7caM>EUvUe86k
zzUd?Fs`UNZvrXPKY(D$t;BG!h*dOdduP;NxRan^jlK>d(r4=zTFnm2&ABjv)r$hk@
z?`(4;i?!8fA#Q+W3Ypjr^E&r|{8R>?Nh=k6zOk^wHS#il{(N@&x41`wBK#9*U2505
zS7?lZ(<Fvt3J|7^OiXaGUwL{8KwCk2HSu6*2O^8G2^X~NV1Ii6jZ*kFG#ET~+i6kX
zfom`F;n=OkmFMQ>P~QPcDw8wJ_#unKs(gC1)ptn#un^{bU;L)|;<q{)8-1#4YW~!}
zzpkXAA!%L`|9|y#<?&FiZTOiXktj>bkhIexYdMy4ran?pAxkD19m)C~O{NCflF@QV
ztKzhfrEKG?uY^bmQ;EZ%b&wocrox#drjv8MeZTMc%OCt^-sgSp`@Zh$exB=!ofude
z+)-gc%S1MBhP3zwd}<DCeNKT3gTy%SL|YlhkIuvm(r4wW;kAYJ0Q3B4v?`{*95Jrn
zE?4VE*VCAjAe4710z9=tFu6cxB*aF?Chl8ww^P8{wTC=d=pR6~DFvkM9|xJ4xV|L#
z$nFzOWvj2mP8iZM(S!j*xVhN@28h!0T*jR$1y)IXz8aa3UYRW7{bd%=w1}8Tf7yFx
zaIT)7!0a!qNDZ?G;CB7W*W2-J7ZdZ)7sgeQ=3TSN1mI3V?iHIz*A1QqnqV@kf+I^q
zUoOZwpO)s~SQ1j{kvqOh2#z=8sc??p=XjyK%@SkzRHX~sN5Y!Z4RA#d(l2sERnO)q
zAaXGmN?33Nr4taOnQqH&i?&|0JcJv%B<%8HulA)^q7$&>bOMgruW3-nF8odtFnn-K
z?E4ocmC@ts%)0D#+;q4UV>@v3;J>8;DU<}1TtKi<L7cdZL*ju<vSWF()z#^wEK-`+
z^a&1<Gu05-i^Pp>u9s~h=_C+;SR8q9bdc{;73D6g<PCN1J#avQM1N{=z-hXov;gF6
z5)ZwuZse+Vk%Up=9(nMfT*QB4l1=vfj@|4>{})vqW+CqeLM|Tp4VzU__W48WCK+zL
zj(i%}HlOXDpPx_SwN|p;K&qgnJQ~qXU6Ed1U7nkpy9=hqiYh96grTmkZlX@Xbofb=
zf{tD(JjO`;oz5s_(AJ`IZx|paCM69zwQ@fKi~~atOQo&j44VjJLVYG$Fom#fXq$+e
zO`jCrOst?IGv?LDP0H8+IxD<x=CHi5=;xMuE<oo1&>z^Er$Swb2K{pQIr}BB9_@an
z^=;sPcbp|tRUIA~p^-#Bf8Z%hT$g{v?ohrIIjCOZ9#rb^{rQKe=TCU`&-35<rGo)3
zh(<y?D%_WEmfl11?+0qSeRERQHAx7%VG9ApOR>fq2SC;<s;bt5iswN8{g1vrWuDUL
z=qMkFizxDj+nUYq14tKg#wSWQhbOt`y3WTqV`#ax^$r6t1fjzR_@K!aoFdIX`U#-X
zj~nsiKI~L)SsABjo9*#MZNQ?|bxnTbP1m)Y88_a*Hb$sZ4+>aLV_Lr6seuKp3d(T!
zt-oR0c*|0Me}5}!+hU(WR|8Gb89L7|`K7g<#_)yA)l?a*)8H;ymeIHI8>o@8@IF<d
zZ*8rE&a{2gbBETTw)*Diq$iIbKLB`fado8(sk>2G42+D{BjZ4FcKH2EGhNHQ%mA;6
zNnvW6$5N5>f_h_a5LRf4yO?+NnJ1`BmCn_<u7-b<h_%B|ppg}ms;hr`_cVQ5u^5@~
zMo{Y#JA3<GsJ$1=gVcfF6S1MO)a^Nw+XIbcBA&wQSA&caMuww_#cRZ1vQXXv&<G(I
z0bqCR$x*e1Z@Rl_1XLlNycd^i;EDHgxwS8D`0Y;%5#=b6H+WeVM(l9I^!e4EruDq8
zm?P&`v1?jeH5^Xpu0_c6%`zG8tERLzw^fyPF$NsRq*6I&j^WOBvypdK%X2ojYR}fv
znpQ2@QNhh`>Z<vG3*dH%H~<(NBZ#a<Da)2*jdz+~@{BRF@F^69rk3}dHmR@07o7lj
zL9VN$a-BU|Y1C#CKiB#IGuKrqMf{6k?3I6GLur8&2}L@0U&P*Qql&uWs1xPY8r
z-B_GC1J*lKDz)W7k_=RF9HG$C^gG7W)5)VpkM4t=<i11KQ;W;YMP|jQy(C^Fa@Dos
zZU~zzxf&c$iOcJ|{r$6$^lDP}6u=vokCDnf9hJDaxGyr<Z`@Mv@Q3LrFxd^Pg!~bf
z7xM4k{9TZ)SmEgfn5eC%Vbh#`L?}P&{}qmFexBIIOlY#BN2Una)q>G-Bk-o0MpHyQ
z;j_4J(knIEedrAs-dE7{(+Ie~PwzN9-c%yS)AfZV34E%Kqb5jJ=%}g9FQT{wD`^qC
z+Gi-N78axlP;H=HFY5{U_nKKIy-wl1O<&LnQe-jlMcCB%<`yj7dilOkICaaGE$t$7
z3`vj|&X$ZI5cQaKJA)lJZAvx@Q_8Ci@kerUE^Nn6&{XgM*k6V%Z>6W<_6DeWIZ$=W
zfVkW&cI<8!jokb4R+%tinyLok?oRT$teIBbwg*4^zPc5J<DPV9j`R$0#M2B5WoF$%
zqfZ@wxt)h_tlago-J97{VXIBU$O<_=S<jaB$dko74nxa@3l^*!YIHz{%-1QTa4FSt
zT0I47ErP`=U|Efdf5GVui(cFc(g4t*U>#TTOa;tv+hC;`sN%*oUA{1!uBk}QiY(fM
zW_iih%gH#-3^S#l@5j@k8o>WbsyM%T8wt^CB?}xNLe|~ie-y9ZyDF-^|IakvO_d%8
zM&8=*`r)>16yK!&y-KQ5gj41W1Wuq=&n`)F`VKT}w3$AT#WlY!hR_S&6w^8zTieGi
zEiPY*U~v8ksXDm#YIe2~v3GFrbi8|T%;<6NK05P%9jKwcemtE{r*h%CdsCFP0^479
zbX?kPs!hv;CTR<()x=u`Po6yK&rbbOU4$F}0{Ju`3@sCcnh1j=MFNcF-d8&Br`U@?
z8hn3COUskcP%AGh3v5T|ZdCZt@B|yyP;*+be^(hNyWaG{g9mLn8#OKkVTjO{w^=7!
zveu5O^>ii(22pw^$Y?qfs<ct(sVgD`y#2;7y~fhKoSZh+(rrEGj$S`F_EA3m+r;x~
zhIbNHMd_banKKfHik_lp%h*@$9TD~@d?C#jau0w~niLdfv)P(jS~ZQ0Drl4IfCxBm
zYmYJJ-Og&joH+$CTM1`vR9+K|7EWRoh~t070X)I>8+7Xf@0sXwvYZW^Jv@?ds2#dv
ziXd9^M@|{S4d(?0tDtB2fA;qF_KR|r@jKQ>wR@jcqsoQ?hUH%USlNd)E7<pRtD;5|
z;3JHn!T~fjUEO40p|==WKx5uGSa#@mm$*vy@otR_)Lrpdg?U(~E*fcrl`D(WKEwN(
zH7_nZ^&Mx$UEYvjWKI0D-NBW4*RJ(I$_^IUQE_)Dd~<@rH_Zrmr?Z2y=`_Ehk6=kL
zOutB)VaGgp*Ggd=0~93!jI%`|g<Yiv$uJ8zv9ZBD-;H`5bS9MJOdQ-Lji(no;`LrI
z&bn7vGsn+qQH0a50=6Et$l4(UT+1>1_rsPJHAG9v(BPa!%a&0miP<ru=brUtjJdeD
zELjP!W@KH~ji2p1mU*RuQagF_B!NU~ZCzbEZ$C=GF(9!{Dxw!6qL-+nE2zcDhA#{u
zObnzvinbpD<d-9u*?ac*bG}2>3#R_l5WPpPUpD|YpVE45s}QWB+T6J**smFt?<sL5
z0IxcDxULdA+lQ_WeGw0C`su|VG|<M4?wkwIzZz|1QV%{>N9k0`SN+2#9t&s8n1Nz1
zM*!UP&pb{XBQwET00vJ>Wvd+q6oGm>1M{$muU|~4tOa7{4bB*VO(|@>S%RDhJkzD9
zto#u8q0!AxLJ8wx9~pz}>^@~f5f*@C-&^6wlQcI$B)3T*t|R!_Xuriyu+BH(Z@H6d
AfdBvi
literal 0
HcmV?d00001
diff --git a/QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/examples/figures/fig6.png b/QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/examples/figures/fig6.png
new file mode 100644
index 0000000000000000000000000000000000000000..6a72d3c6112956e9e8b994e6359a2fa022991543
GIT binary patch
literal 91663
zcmbq)Wl$Vp(=7=Jl3>A|1b250uE7^~_r+ZjB)EHUcXt+dcXxujyWPqA)%RB2ANSYY
z+9|4b*pZ#5yHB5UI#^y-9PtzGCnzW=L`ew|MJOofeJH4RQE)K8CwxDo^npKIj-qOg
zN?;R57kztUs2}={wpL(AD|3Ud&c^l*=3pBZdQN&q+OKAgj<ycm3=G!){Reumy(t4*
zRb2^i5O`Y&bq6RYWZ;0v`tJ$_3e2J2K|x812r9d#9<RFSY0kEGT%5JW+^t=tFFN0@
z!TWzl?IJ&puhgWBjGL-8M%NHCH~$>hs=9yz_YHV?oE`LdoY7gXJ-tSq^aKZz(j*XM
z$Yo@dm3TyYD~9E*<Fu0$6&Dl3`F{Q1xAb5+(sz^(g8%!D&iwq}okEdcQ62xgM{xh0
zh%f#Be(x(B-%p8&kN@491&adT{NJN~y@nzd#QN`1{RzL5?*I3&z7x<vAGH7Xgn}sU
zQ2*CSk^etVs-X(|l`}A#5*-us@7`V@sbo1)fo4-v)8@|3$Df^g9eRw7oWz1CsgfYj
z;o)IWNQh8^XnXZU!_Cf}hak!r`0q<wFm)={<>lqf?JL(=+mj7O<%8vFvy*lGRX4JL
zV^f-(z{^ZI``@jt<uK#1R4%$bS9kZ~FJHbK?vAF+V(EHLmf!X!-lOWa?$IzXjCZz2
z`P#mkdADQf{+0G@Iz74`Z}fSb&RF90&JXyEwRD3$T_6W;D9aI#Tq3wCYgk({(H!T!
z3KOmnR8dh$IdOA!txaVy9ZOBva&mHFZ&;mQKO+NyK>j)v`T4&)I=(A|cHZW^hAZ4C
zG*3&|4w=+O*c&i5HUl7~=1m0K2fcEt>%%1N^n1hCUhEB5i+K&vAf-+LmvT$4{D!1L
zmL>i!f-Ss(1U#Sq8-W%%cVqS83kzYA9N`?-BVWsVT2l;NjMB{qyEkz$YyJwNr<L8?
z6h48|H*8E^l%G%R0-`3`ZL8L)3?|}o+ncq^Q1|2>Wx^GE2kH2{37vxTmxiZ&$|<tW
z-oG{+2^GJpl6(JJYJ7kA`uEWGSVgk}MSwcx@X+G@`}bM|5nmgXub#Z7gd@LsxTeSU
zH#$2~`!t$yht7L<)=#xKTw?ngwk3JsKtH23dLQMKBjt@_A7}K$7Tr}tp4lSiJ>ffi
z<5Z(b5j8)*O8XW0!^GaOSVWl;+f>Vy90dmGiW_Xu^7FdFyGw_UMjnwrp=>8F940~f
z0-FZkcI6lMtf*Wk%lDWVT?tvXi1q?wk@ae48t}o4@l$%#btQB^@d7=ii%uz@qy=o8
zT9jS(m0PNjf29W_AT@=>WiGaO>4^<{IT)@HchKS2S=kRWU3i1Z@*6WKWHWYEA_G3j
zN)N2o4LCn5&1ZF)&+8^|Mv2t~$BW_&=+ygQM;YO?7S~3Ik}S^tK0bK&J>0#|;nLPn
zTpOp&yG<q-Z}jpIQKCBRn0#w@%f{iUp#M>6(u99ZU9fCwqB#6>SHFY$h)i~CmpLOx
zb(1Gig{h~$!?KT@$Isf1S5ty@b+@E;Lhmx^6D!K)QGtk7QwO|F!p;`H)4`eu0q=dE
z<09@)9SKX&$IJC`dBT`H&+h4`IhXc2A$R>GwqJC@TN$``1!lI+&XD+H<tH7z-I2-i
zuRe7Zy&)MP%dw{Kkqh2k+;p$66O~0KYM(83HSL`d{mjVlNnB6)xcu;>{^oIRF|%P@
z<(;0uhDu)di~9lF^=D$>O=CLmwW$`-CQlskDiUc0Ov|xUE5eLj>1?#odecD6Z><;H
z7S9vutrgzVv$vZmc!W!Hf{z8gU}VVzMoG}z{03{;Ry9AYA1hAo+}%f*51R!yqO%z<
zO}Q2A>!BZBc(1n`7kPOuP%jTH@1M85`6buIRr4jaQkcWeY9go1*cZJ{j3tGec+Dwy
z9%1INj4m@?Qp_3gPHgr@)m1mYSq_$${5>JzQBU^3|B0&2XU8Ay+%S*nXOO$3JkR~Q
zpRDzTFVv-`ZO2s`>9jflZd@L+^zt;>Fd<d&dVddjIA2$YtZuTZSY={&A!cQvzI{u9
zdOp~Y-eyOyTPf!_(x@|6mPx`06}HZx(p3GaUd2dj3zdR<0&$kT9=^UJ{Md1ss#(OG
zZYw3zs!+YIm4E%j0wrF|Z)p19Gsa!eJwKfKd8wzS{L2SHPNgeT!<y_yc9c!pYEr>O
z{#p22``A^eO1-zedB$<&=auY5&5Pek29lSMAY4OwjNdu3=Hu~3lAk&EYIYyQNcZ=W
zeU9$~%61<1=}gE)$<GTWYv3-=cX#|W@h!lv5~O~<T@T#}@y@zW)^qxohb2^&R(g7R
z*pXqWV;h;aHab_yqt>iR;k<PYbP%a41^Fh%d;tbINLV08#l~`J_c0B__TR=|uES$z
zn|G7$b`H;;ukPDUNXi8b_~Ww}%d=w#gA5(Dm6O=CV(jtD8JP{U!5cx`N`6X9RiLJ<
z5VH!~!15mz4-u^xU<0#1n9lCm?)l@)dsz+2i!-MOgU1J#c=eU_w!xzpb+fW6tGMjw
z0wxZ4{7c?iY4<nk{XX=rK|-s}P}N8C@=;CU$<gDE3v<a8Sl@&C^`fAoNL}F85%XUP
zo!+2oPQd4i=YbNZTjSj2hx0iq>$7>zGkq9^Y{-i%zrVumCD5vevIMhM?nRTSKSLZ@
zTo(V(tD`@KqEI|&`%9XWR(KmGZk^A3m>l;&hoxRWQ{+kP^$80k{|V#3big*urFFwZ
z9pThR_NXo5^Y)Q4iOPJX|Mc=r!Fr_jKtposE9!N9FtB*9rq&SYrY9qm)#qb*8LeWv
z;UBwRyE#=rL$4v(V{-i6)o4$e-m(?+6eaaBM7!%_6B}?ystF4-V)0qg4Uwl-O<tAR
zNl?ggr?Ld&4eEgpOnaP(J;(-PJ!+7xqmh9QL5UcVAdjzacrO$!tc3U_qkm6Ez?2*+
zJS(Ti-e`;R^{{>hK61xl=S(9AMACIt5vw5adsY{+aLlK5##iQT`V}LNPk6)k<+cQx
zLwAd-zxg6&jhXnY5D4wR!sIQLTaJbhw&qpuI6Gv!H&cD_5hH0@PECa_rFkT&-k!5x
zRzmB@vpb8`z6;g9=q$=@Ocr&rqWA@RXwO?pnzdgxE8;8rL4qkw7P53v8qA{0P_{jK
zypKgSK}6hFK-6!k$}%wxOSNx3Q*EBwmYPRmF$<QL^JtBNjuuMD!96}}QF6-2n#*8^
z{?6whl=&5|oRkAGOH-N2cWqh?%`rOLg#tPJrghwE&m-Rdx9ht4Hk(!L(^5U@y-pCV
z`Czf;$;3@~!lzr67RjbpxJ=X|mVoGQE}J=sh8~OU$2JTV`e??F-K<Gc=MJI7boVOs
z!EWJa4&a<Mt%ZXdW(|2!-?apOt@bwXf~LyPb_hjQ`kJ%uQPCu`fIeeJ8s|ow8WJc$
zuU1Xs8u?I>$7A@D#C1)574scuaWOML=_t;(`l)dibogLPLx#VjVHK{o`#kp+Uar(9
z9A){X%Q@{}UU+_mQu;NEySk%c=Zi?gv#WmSH)HiRIhjucokXw<^(Ba{y&al3x>qBU
zF0Pm7CHRG0V<dhyreX`&kgclzglaEf0aU-G(l;0@gzwYE)9F%wdT9}N$i9VzEHP0#
zl`REd6NaiYMJa)OeAiOZIee1iU?9s-jA|B|bvX-3ye_02d`QUQ0-Dkp;vfuPzQ>%o
z_OM*|kKqKv!ZWz?LvmhCa`ohMj~U0vQr1?h2^#AUY`$L|@qSFByC{e??nUn}TRLcW
zwz`FQP!MdJhFlVcCbBPV`ajA@zG5kq3rLj>R&|93G@sxXdL{zF`^kxCLFbksLYcwv
zd&iEexzMo<SbQ<mXtpe0xjiGSIlgqLo#<zlAjg7ZtJ8<pqYQ^JaRVTdI9NH~w=Rm5
z5yVfYjLKn$1&R%Gs0VTjEW$v)7q*)>qnzbRXko>}#TPWssY9&EmbbL{x=4|rmG+YJ
zOb|^9&!Ikyhof8Fu%rRCMby8(<#*vjLYL_?%;cdp1Af1V7?4^xUiGvz+go5FxP2Hx
zX+^uWPD1o;k>Yn4%yRMA{2#pg@^fX-OYDu?y;*A$^R3Wa;z>0Rxu$gmuYYl|h=<%?
ziMkVMe5>eV7kEt3GkF8A=GWK68144HES*!*_E3q-48Juk$zL{jPt<FjrH9<@=Lj{~
z>B1y#@}@&u5;vyXGZjbA*|Ia(4wES*`)58>+|pdXPJ<<eW()HjD;?LmR|yA?EG8-{
z$(L_0HGXb8;iwIDHomKSHI|3mx&RP<&zye32$N)=FM@V32r;QSQFHp3sdsGAF4!9j
zNU=&2m94`}_f4W`yIgT;#-{Tb2O-DJx)O-Z(Rz`u==;>oGb%ZGzKSpJgm__>9NWSW
ziX|qNiBYew2A&_TaG1@|JuIarQ$}TuvHD}8r|++Oyu*;tpPSi@u}d7Li`W-3DtjJa
z?A@m1=P-=q^T4EJjQ#?V>AhJY2F~$|Z2^lQ$)Y6XfbMv*!s4NiOjIlEW(eaa>g)Dn
zuhq=?Vq}>tt_uXF;?&`DY%K*9Tor7yN|wbGBP<K2x4cFi`M<+$K-*<B%!gNuR3^l&
zUDmP_%l0koDWSyV++_K;lxjSRzI=+QYtBAzZbox2VWM?DgWqf9BRfC1k=EpGpE>KM
zs5ks^SNay7AoYGV78}DIS&)$GS?io9WtovC{FwF$IWHVmJ|#cx$I+cCdm`@-lT~Vn
zp~Y-{u_34voP_g$zxIdmNHEg8Fuq~ye2Jk!U&01j!Q##6F3)1?PHzx451|%1%JU6b
zk_WEt(7E5>%ZJVbqb762W@6ONbTP3*$B?H3NSkNU3v|X_oi|Z30n;z(921lif{3xw
zJy&gZIijkHAa#rHpT-e9Do39#oyb-oPv(#%$X8F^c0AW<_5Sver{ueu#N}Dc4o$<1
zuU%Ki3Y#<>eEvmLRQMRINfb(F(3z748%uQ7^BH!Q8h$qQhKS8#_7rob)ap(p@@bW0
z+>>DT5Q}dmHr9#D+-Wp>h7tooU;d|7889a|y6vmIqN0R_iP(6tF`O><!1lW|a5Fq5
zh^tq-ebhC<w`wR8Y5&?M+G9UGKD^ZOcDT)|lf)b8kDPAJgW21)?R~Mr?~1Ud!4ZOc
zsHPg#*?tEW;wsy7Srp}n($(#bp*x`{YyXiVQX46N2_ge(o_PK908rO7Pv5u%(#$7=
zMO+^gk9(R;#VyN3>9bqAi_A0}PD^h3)<+YWy^LX1>#e2sDOZf>j-*|jy{i%bwvgDx
z)+ysyuPfEi4Yn~U<5=<tRE1XKUg8jPq8tt3?u8BcyXB+qNB8u_6g1DsN_FHZ<1kaY
zWKtgnFDVh>7l$X${JCsoJ=ON*gON9vINKOfLXi4VlKc_lw_&5@Gd8ZHVIrDi`1V+C
zP+r_2a+G$%Z~bo#S=3Gvg5Ycwt&a-=5V6Z<+*wC_86;XC^XKQ8@m;jSU90U0uza0x
zhiA|0?FT{I=3V3y6N;BI%+&rlVmomQW><<M%^`#`%Ni{r7x+Zc@$IV?Q11NBM#+td
z<Afe$YoKu4bg<2*o_n|KV*6soV^MqOe*Ll^sm*uH-a@aiOa8=GGiB)Z(pvCn(J6mg
z%qnu$q{?Vrps8?O<X@;Xq$LpBIfrHTKg#rKZwZ^MjysF3){Cq!#<8B}O)8$o-TooF
z*AB}5Q&f3zB_-a%n&t0-L{c+Wp9hY~eJ4t~Z~X=S(amVK7=-_Dc!P9D8-4-bk*l@<
zTDl0bRM7@O206ZmfuWW|9F|+#B~<&nW-}ad9m2rh0|`Fr8Wa948Hp%ZfDGd*gUHqx
zg4Ej0!w_+Yf*-Y<RR~Qydf#0mp&LR2Io43~;oYfJb4a2bt+45&gJoA9`o0vWyx|*B
z_2LV8b=hAiCzGcF{<|v#W3hW|XAoij+|2h<7XeH%Z9y?F9cgi2I+K9N?raU<_YxO1
z*0QC(%E`a-PIzgZzFpFGi~Azz7j%;>q|*&kP`kMPrbvB#po|;Av+`T)^6TWC&@HHK
zCoYK^vA?R2{CU;jUrJHT7mxuEopuDp<QcJNUG#I33zo)WVC{yc0$r~Jp;G6S&=IQ>
z#MO7NWlnUhxyut9#OBK`2oNI^!e)Q&)X|`U{OfNtjeZB?K+=Cytw|7i5u&HRf)BJw
z8YRZ=%hbnbR@Sxq;}&ne=ND$A$-2@6y3C0R8RBJ&T+->qKb%Z^UAeWV9k6F5VMVXl
zElqlF$+UqCt^lS6DrEcUQy?sZfye-H+emW^j6**J`lAQJ*9ns7ZnBJekFm0s2HR@q
zk15ixbEjNbVyzMiTlB?<bK~JvZA#c1J~-kf0$`BVT*3mXmnqr_OYr+u72MIC`)1K-
zOvlgEp8`vkBCj0h+&@KFV|lir!MhW&@Nq}WP2WXpn|jn8)ysrRZ4VMyHqVGv`!L>+
zL+d(4Wx9~FQThsmr_b6$#K5EzbV26&`ZCBwe#OPCNiy4WDpioipjmZ_Lc|q+gRR1j
z_9+1)yQz3y{%b;XWu)2E?F->IOVHx&QxU_(*%nb%eeDaIn1YTz0;0q&1FWvi)$4AN
zcB0L*b;?}|21_?ItgZPBLJR9@98U2f$Sq0EK{Y$|7XI+e99iC?aC`lLs19$q&dveu
z4o*w~;}h=iJ@~PI&+)~rMpw$kR(xuQ^nT1<%C|heMdCcAH~n%RND97ZAI(TPm@Nq?
zo#%dkzawRh!3*ClFWdQafxQuzZeO;&SnCxMqF&Trx<ApJXYjIp(y`56A^qJxP>jOq
z(Cmps^0Y8Paj%vFPAD;$ZJ#fZ)``Ejl@CiKte~-~D+`yqK8cY3&wFhuio<21j)U-(
z+<dB2_J~Z#u(yau<etRM-bs2+JYN+hOqkT3s3O{niJ<}l00+Pjx<PKnd9zbjXVY+|
zKmbns%|R3w%I=HnkEnjLE#3VLF)U%h0zNd<+V=yp6{E%>rNzo<TS!A8$FdrlR7~es
zmxot?#Kcol<n$d^UK)+6_reZ4vjt7l{gVrR+uHhS>^Obf7Yw!QEmb2GRV7PSpm6t$
zuckFgLMMGm9GIwtQ}h+WLB;JHEh3ShEh%E*h$^7jlplp>PdG8ZW5T6#*Wtc^XGk;i
zVE^7I&S=ux6)h`P^%-w?=||hUE<QglHLvW|r{VC~=Zg*>9?!5{=edO1b%k^310-*%
z)k$-nJ)yED!Wy8?I}|D{NuNWY;OUaJOCy#9^!S?)@t7!Y<*x1=Ldk(({DfPd-Jp!N
zpFWUOxvrQcAX~I{`z6?@U0R+|sYnj2;m4mW_-nqh;MvEy-!WfkRkqK6ZT!BH48P>n
z*WCgB*D3tm(1F;~=XnX8`Jdj1g|oM?Il&*tKkD6M%ur9{eti%KvEW9?zkTCD|B&S|
zSj{G=D#BDvD1O+*Zt3@oHZX}%&FG8-<d?0So4>Bwm|!DMQ59jq#J`^$uME{Tp!kPR
zma0n=#Tl&Cr5cM}KkM#Qn6shiN8;!kCQXBhO+cHrqmpaGj}iE=pFUX{AC2)Pu!Iaq
zNl2KDX&BllAKp_MiUnH#c0<|`Ir${RPPz{n*41};pgCD1I^;qRHP}`gO(dwVsd-*M
zuFYCsPgoeb2~-E2r;OosH?L}GLXd$%ejEHjd%w;*$psIn!QKtK;&VGD4b2r}X4^G}
zf%nG?MF$sE-tR`_a0XI;ZT38gFf9l~XT2Mw4TE5VK$3_O`rb3FZDYE_cOTmojSqSC
z@c>i->P?}VN_0AC3j2gR0$^yTqHydAI9$5l^b{M@-F>z`Z%4L?s{_YE7ftmuxL0tO
z682J>FE0#a4c>fWc_&@a4Y%uE`F{%r3!kc1*?}}0e2&|B=v)7JmGo)USgKv%>NQx>
zdJU}bL&QB?-*%&}QBsFBNqP{x(DgdhkRn!Awky&u)7n(nU1ZwrYt!9dMpRrZZ#iTv
zJ-7~OdBxA1i|by>7RM&^gmo}n|DLcCO^TDZ3!W3Q{;}<SK*{Fwvk$xkmWlnj%@31z
zSzmv4*ZiJqgDdXuJL~m|KT*8ozT<RXAAaV+Asm%~R)Fp^cLTXo@u$XB;ftIaia)*O
zD<j>l;F+5dUO{66*~DlDX@(krJ08{t#~DjZ$|E8E1yiScr)hGNdUkrM5#&nUVp-9w
z&xadfEmDSvM0=$huGZ{OTS8NfRQmki2!FMtUx@Z&HRy}?3P#ND$eR>qXPCmx_l<2f
zZ6aT6tnE=wE^~C38Gm>QBa3C?k8R9*6T3}l@BCGKXJsQNCLQJB!;bkjTh6(JcFGn8
zG)(&=+E28f#v<v4Ja}tzbU$?D*6RGF`lgxK2ygnYi0>x9V$~$@&h43|&gW^brF$dV
zdH-s0u|-}_t1YWk)zL<*I9=^5@sK0H!yz0b8-z~6ClF8d`Pz1Rs)gq9MYVsV&#X#b
zO?UX$6zbfrQ6={ise4Uw?TnIU?u&BEBGvfb-P7Cb4*MmZ^!-V?Y4gfh#E@U^*&s}*
z<wB~tlH0q)UIabU6VJZK<p%IWvdZrI>ZupN=};CoO)DI0DCq!L;%9{>X>aqbxU<u)
zq6)^!x_N1vO>}Chb$ia&92+tmCmJ5>eg)CyH1vbgUU<J1*vhZ3d=u#jB9_?-AT(?q
zoZfn)h73>W7;>1p90j*L?7GWi>Q>W9ksNmK)dx4BjF|NFvAHr$Dq7my(o%$09XSaJ
zIDLJ61VY}V!B~o|larG}#_`XimJ_{j?&Bnj@<8^kCfzK%*#>THv08X^u$gxa_wIuO
zF~x;b+ZIMwL16f%h&Fvdcm!FnM@eMeANTf#M{KcPGdi<G$WXpu>~w3io5jSIgf)yu
zNyNorl7NHp^~aV!ldm&Z^{lFPs+{pMHgsNu9E*>4eQP~xog)RwH7CvaBmmdsq@g($
zQ6}RPMPz>lWyWT!Po_T?kxOmMhFfc9M0cY>5OrMJe^w^q>z$q~;LgYaBl8^uvIujR
zRZgs_<4oLH6z5c*u4Aj>>jh7fGttlo^YsSsRux%#=$_Hh8GsLp4rDddO;kKlvHB=j
zh>2s=+M!S%VeJ-wcK$e843EQ>=F&(RoV$F%FEsbja0kztF-@3NwO2RL&BdQ?R3{~m
zd?FH0TdV)zrMD4(jocVVbak4&WTq+DVwM4)JMSr;R%FQnmEF=`Q*+!)U$=RN87VpG
z#Pv?@8WI$|8JQW)TgY1b<}tr`1TvNp2aQS)ZYiXgRy4_dT;0<f<T~<%G|CB<S^6aW
z{J|=j$@+b(LEBQClfi1WIi6$9)i1;QF?eb!;t1WWPD3mlw>O+)ZD5pRUFQ4u?;N6T
zujV>_<w4eS?)d64wzccIW4Sp}O3M~c3)D(<56!4R*b+n(WtdVzzo5C&bT<){02tcd
zcqD-Iq0h01nO7}iFM3HP#>?=eO@+jA{7;>{C3pMWVg?PlsCdBU@gLa4zSc-mNi$<)
z-&GO?<&PL2{b-Au{Uj#Fc@p{W2(h%2`)UV7U_J&iar6GJ`clQq=*eu-D^yjUE{xGz
zN;9w#cx=d;<S{=JgQF1qydG2($8p$r3#o7TdGx6!yOR5ew4_G19{<YaPS3`E+WmF{
z?ynb#<ZZaI_l%=5C=bBC-iA!DC34kOp2$r|rQkyvX532!Q2el=Ni@imyj}lu(+!@+
zjZ}t>;RTwR(b4NIVm@jL5k>2+rm6q%&@-fYMXZb}aHomGr75lD@kiWI+45&xI_rwh
zH4it{=zioEGbeq<vQ%@WD)h(hBndJzA<~ewh=~%f>q&9mx92N-e$U2PSVLW1T_GVM
zI3%RL;o;DsAt`Da8Y%{cek0~8uP0~c<Au(gNdBRldEIftNIo&E(iftEr{)B<{p>K0
zNJ9ca7pn*(Z$tRa^iJ!B#ehZB>25JY1q}9tv(slI2&YS;jku;mEURpI4megF<?fvz
zp`_8wYfpbundQm;QSTo|6d<V;w8-|G4&Pqk6x2ImC!_Qp>%ZW{qW{n`Lvi>EV{7;P
zJw448K3oi~X=nC$lzw{;nqnb2T5h${fyI3ZG^vOJ9%;eNG0=a-A~H~EHbwO*o9w90
zfmL_DR<3(+efz#!fMBHPh!5>6jB}hZGVv3=JhUAfAeHhhHzY)<@EmF$Hn;7Fm5$eS
zpFFPzI-W{NSg1)KM!zktH@~(|8j$L$4sIUuvd0k`TRsFQNIl(ARJfRr@CB&PDwrO+
zhVrN7rLtJe)>0K*a9*_4+}D2lb>vl@hL-u2v-9!hNWIz!-sA366a@11^J_XRE=gjy
z#@*_Vq#z^98$CKaI$Er=!~&A3>BHsDzqn{v_fClvcuj&O@{G!pP6Ra5`O)$GI}05@
zo3p3m>QEa!p>|Fvodw9RL}Z(H8~@X^pOs$e^3}%g-9B5)8_EO)87`*cEwwP@<okYZ
z^O!EbO~t|M$fr3Y>$^K%#Df-igoWvSgmrgUCO*?OJDIRz#KCziIvHLem9%f%G7{hU
zMjwPNm+E3PtS40I0mZboSxU9IE1v>2-6if&xcebq>?yR&*~ns{FuzRys(D4F5+dOD
z604@#Jbh}(Ml9%pnmoKE(6>$((Hd`g-&T1PU^}i#EO-WeYl2nH0jb=nFMuR0c0aOs
z*%AvIK1Snz>B`)<EzjV6FA6G}IpWj-_2p+<C72RqecxLVXpEQ`Vjiw&#wnw9n7(A7
zoOIH;xzrjeD%*|cTXr)ZFS@DEA<k|jEfUzuHjqGoGf>e&#p<EBx{p&&QfA3}q?VoA
zsm!@VS*AhOQ+}LdO<&K~8lO4uJT4j9Ek6NoRNU-#c^8EtpNvDjNuYXlV{Z@*V%TlT
zgW|bs(p!Gp%TEuKtxuflWc$9@A8|x&xV)2W!}2{$eOdq5iDNQaZIi-fI);DRv`4r*
zmKK_lqFFHi@c77V*oR;;lGI7`dJbD%Q}eLlhwOTgm+1QXuy=8LyUXD7Fx-Un*7B{v
z%Fo7!xUq&cvi(d$T)%rUgTO}p3dgBW$q%Zxxjxj>d0XC?N%i?&u*9&<=CsA7v#yk(
z(i%ruGxdvR4aQ=>>ygBfZ`tS|S4VoaQ2G4@H0CYQSROpVS*I5{4t%Iz&g$~eokKN!
zVxAw?mBJWu66o`MueMBhQ97tsQ)3Lme~M}olrfx55UFIb?|M{Dnt}Zf5V5zvkOi*G
zc?H*zE%U6rza5-;TF~`MO@*=S@4Sy<-MvofxeI7lwC276>q}crcZso(yHY}EBIV6X
zvj7OB+OOlEO-<0ZNXVgnbl&XKDJ3>+d_lCehuNK83@Sw#bPE*mU4uOcH)&gUiaT>j
z!<`LBgx5PA5R};`5?6F&j3wSm#*gnH5*zO@V^Ug>?|;1%n%mAW0-f50t+KkW9+!lI
zi5I3r_v)?nr1i(O?rI8hqxi@QxP?}XlantbwUVMn{1@cA_=JOQKN*VkEaWQ~LW@2!
zN6Z*i*BJ=Fj(6W2kJ^M}^aIMuU@6Teuo9r;E$1$rUXj|y1a7{Ocd`6je3`;Vi;)S@
z6@YmZ&x)@wHJi98EcWeG6s}`RiRo(vy1IfP*Xq_lbnYmnH=5#N)GZeHLs4J)YkY^@
zk<DO=biL>M3vCOEZ{L3P6MBS^Nhh3N4l`^4uUxn%7<GHA4+Nz(W48%d^=|8(AqK?=
z+BEzcVCMAM*V#dHGo$3QY9yYOaux$im2$Az9UD|3i@I*k!Q}0k1+gS*h~MlDhH^UR
zGj(We`S$DUd{#Uwelgb|ASVZI)_&Sa$8`w{8O#@|n(h`iRF<)#0z=SNg`HtDi(@Bm
zJhkDmL}iF)NKhnWD9vbh%0?<4+A42oVKfbBCRI@m2?x>!RsZH(<acIoeZPVKr)&pz
zzPih30BQ{xvj%<S8@g@-C7|(-hIHL&6DUSfpgO+$*%E@Qqg#_UKd&b4Z;V5J8@cB@
zgDyrYf{KPZ;M?;}D}faq1S*=x8>BBWP!;1Zxh-(uTyI{x(UOULd-CT(Kn^zmnQ&K}
z)c9D$lwe~7fYd3}otE5hzaz`-k|XQ6TfG<VCJwraAYSB1kj^Q{DWnEHipi>gD)YWZ
zV&L?1sT+HdaJAZdf?4>C*Z~xtH6uU#BSrV{d<E4Dk;oYQH|O{VU4M)xabxDXyjTEf
z^gfzw<Gk&oTcnZe0D+ovfRr#F&Q0%e@qm%_g&=+8p<W8(yGoU8HtHLHSELW~vSMHS
zRaD9yPi<h<*4B702S{YCYZw5pK<4~0OwCt2xa7Kc{6fmp=WU&_W}TG;G%};@gdKxX
z3z?het9#fJEhDxGhG@3lWveCUlhx8QSB@jd?ee8uM{d%6maTB$NlWqr26*bhxu(9y
zxrII@5B6=@Toa1fUOG_OgH?OMqpc#=Ztv1x?tE6Py7jMz3RdX$3MOFdS<0oXd~iid
ziOi5ffNtSya=nKlN0!pFb>tK_=#mUQ>OW!W*Hb_rI&#D>r`eqMm1!I27s^9(&#sV_
z+IoB?87MB>J_QX!R?<sAc-Nlx+fW(!Ty-z12H#PxVqh7mxYOTtehUi^)Av-SMGjB%
zS6864E~Hpb>Ru~0w4z=Xu4}q8QdSZYzdX;BE@ES=w(Sm0BDil%T$C3w5ra2M{gaS@
zi_$$3q%8J<0%eb2=sxOI29BTu45Jg4&F?>^C7ZYTApntQpj<apu*msu4Yz<YUJcxx
z3<ePwAf<<{T(AD!UbHX4q9tGG4)y)5k&w2~ZyDI&;zrXTF9#;S2?eX4t)Uq}c<m_X
zZ-^q)6&4g?`fEJq99o)>Je2*|1O-?QY=##$vOGC%1pbG#FRO0yD$D&gNfF{h=pswZ
z)*}F<I-WvC6_+MD(|&epGe)`mHQ0&GQ#M@5={#b0ulO(?RZ`k+alFoiOR$>eWqOJ5
zAsb-7S|}AO*sCdny|+3l+P430M41?dJ+Kg`hT83$gp<}&nq-uY?eYyKG`Zyw_cjjW
zT*-#J9dn_9<0&c=E<ME&9?^v4%Exv5V7#DUpt$Jo4p7t{YHyAWA4TmXr=a>o`l7H=
z2GrJ-`vP+9R4-=%Tu;L_S)1;q`5-uQ-Ewnm{_f@BC3AT~Q%0-dV0|Bb?*!YnkUT?}
zt)N~$HW~*nrl<D&+eipp-#FbLwG67B2U%m!`?st@a@-LzW$cL9^~(5_M_r~80xT__
z^(JX=i5P@U*v^<=7Avs7bvqh^*H~=GQzPlypY1UjbVgR19HNbzu0DS#uq0G)tkt+r
zmcl!Fm~RUQ`~)H(5PjImcsEJ@m(7#@EgtVv#pNqBn4EaywqZvrcSw!l6W7^?r=ibO
zR)u6^98ph!KmLY>f{oUY&tg<{x8%bLVspo6%G>SjaddExA_y^Ho(QK)HPjks-D+eL
zc3!t@>r)AqCzogmm!5dP2c|J;sFOIeR>oq=(aUN5ZXgfy0})l%Z%eBN&XfRlw*8pv
zZ2PIuAx#^O2u3Cz@_^5VPb|c&A)M{s72gY~E%*S+uHtG7hlc{vx-rqWn);LXMBW-M
zZH@P0P~|!g3e(QEUVHOSs&?NXA#!E9c*z<ajZs-)pJfey`tSmF9TATJ78V1oX?JJ7
zfN*2{qERF1UT>uNMrUhhUl&%NAFV{8#kRu<s)dZ{%L+ap15Pj~7Io}U)9m>4PMX4R
zl0|CAjk<UPH;yoaGc*wZRye!Zr?2$ToDoAIUjU%F$pMnA4zjxZU}7||`oWzvvk;Rs
z54ZLudiD3ual|=fZwmr7dxdb1KQXt~LAl!d^uvh^drxQW6vV{7n&8&>WpI1iJ7}0j
z?oxiy!!F$GdMnBi17UrY;gfLDMZi>oiAXp+4BH?-x3FQmoJfJR^WE)>x)X?xxSqnL
z-2B1K)SMqLq*~2mF>Qs-k=JLjZ7B;|&Xhp#j8mP~jP~Sm>-u9jCLe`$Aqs=o#7RzX
zEDfqazcgCcuOXL3)dx(J!^2AV__o*!xYaJp47`-voyuS(rLFE~uSTPu@8rl~1wKaD
zhFu2OSYL+yNb>dS)hKOBx8z0PEwAJ*4ae+oN5s4vubo@!Y@TgKBk^epvn$?;Px;VC
zb&B26!aKyEeEC|FQh0xwR|O*=B2six{6TN$#1t7fQy=%vuJ%Qkeg||Rd6|>9UOf=v
z5xyWSG2Spz$(6bjCws@S<T=w4Rc4b^J0pi_ta}T-WI`r?$t-B>Z6Z;BQ+%q|;A`Zh
z$bY0aA~r1-AQi=Ew*UIur@e~n;ew50k8Cc;p=4UVu>(kjHivO=6TewV^-$s4x`WPT
zI>dS4!ZoSySA2_$_vsLoaX$wubNG4FB{@4@O89Oh<>rzyv#?On)9*g)W$Xc)>E-qy
ztwwE-WqA_}7z|bobX~JdZ?vU{?5G$K?VM(9;ozcoK8p1hSM)!?FcZ^;6gZck*j2I7
z0Dd1;bAI#AmsHdgk^Y=k-z$KxuAi1#(@H+)O8@iKo9@LQ(RiIW#^LGaq*Qz#)3^@N
zvr-?K$ZBEQ{`k6e(U9c5=B<g3_mq}0NHoECji)j2Og7}Dds(Rnyq(ki^ss+kG*l${
zP7vT2dvf<V0rnUh3#0o3RRSK`uD%MbGOp!-)qp8@R)IbKBxi2$Xz`_Xt%db5vT;x&
z;rO9)mi0P4bFI`=w3AQ;J@ru=!R~Iy7l7KIPvm^sC5U-r;V<w9HabcaKo~iS(&0>r
zF?}!pFjbdrPr!JlrC7j<w8g}anLk5rWG`z8+xVG%T0?Uo;6;rK>*1=ecM`wv<%l~?
zvGvpKMBK?pq@g?ZoRvZE>R?9H=c1io#`V^Yd`-zx!LsSRgTE2+T=&vk?hi{U%*@R6
zrt^PTt+gb>61x68Du+b;ixhY?@<#5NtAw1VOrA?@Z9Db9D6{~!SsZ&Q-3VJ419`-d
za#<hz(!)cn-bb(crE<G7bUzN5imJ=Eh1ugn%}*jw;hQ&53(iJ$I7WUps0{boK__Fx
zcCFkC0unh|%JF(hb;WRL(cgAR!{z#_re=gThr)2r#1{m33F0A|u!~M}891CizQK6|
zWf?#ZkpQn{w0=HXTs5Yv2zy0a!<Bn=-p6B)CvcdX<}RQPyYWnigpWHkytDPWbbqd$
z?0Fg`p0Z^9MJVa-j`VGXCcJhdMIQ9AHSdpwA!ctgpV52;z&Wrqyz;CTMm_yA3cxtP
zSLD9sgY4JRsSUrR47VFNJQNKz`$RDQ+QYXc3d}u0w&{*u75{biH$S%(cLe8$<P$X`
z5qIFY6sPWw6!viQ>HG@-&(>HiGOu}@@zq-`3TbN-fLm`c|80IShz1vbdsiH%fA|Lk
zG;wcVh0vxw)x7}~!B7PqNtK%)Vk!6+r9OUJacO^L%*3>3j&@}@adLCgb87?lfkje+
zSpC?fy0of@QCD}D{>fgn3(Ixj^_bo#;Kz=(?$~4^z>nK<wL{Mdkqex04UVVgzJ4N^
z|3N6L_#GvgEuxGHO;){rc7)ma-Q2;_Y4u0|Je5{d)X4d{chCJtGy=l0()^p_8*-A~
z->65g$2(7)T8Wbfh64l7rrR0tj#pc=XeH`86CMS>GyV`~%wHR`buh%Je-XyPNtMV3
zbAHju3A!d69hl%@qQL|nM`|feS6aqkxvt;XN~_Wn4>R|*_ivcB@8LyZiPLAo2SN&+
z1=1@&b^o-L67!;BqccXkW+)4-8eTZ#g&*@{dY%Cam*cL+P`KMRE51STGgXp@_+I#i
zds|x@txii)ZzxtQz<UBKbyS?lOGH88i+CiV@n8%Y@8f=smis~8id{c}mi-_Z-BH2E
z{y}zh;+lR~ES=%q?9>FQ-5SG3hnJsUT09)Fj31ROTYNY?KeglW2T<v@N_h+S_m2LC
z5uXrXjN^!`ZC@b=ECLUg+ky#J>XUR;bQ0JjBS}Vp8B?*igkp{%>Pe9zyU-%gZb>>U
z)1{(~)t5d;l*S`FzSTC?vs6HOZdqdxE&MoGbJ_(E+F$>?>+uL=<};wICao&Ir*l>g
z+HNTUP}4Q%`U&@lQ*5BaXr^-da@*wWW-8FHbVVi~JSQcu+0z2Oof{Q&GG<E0M3ile
zXZFDvR=+V5i@b7xh7xpBGcl5KhMwV~&8M5P*m0i-*CewFJ^tavA&=yC=R2iC%mXLU
z+<A;TZgytMUpT-+!^9R(m7|Omf+d#p!^XSSq%DR|D~kIh%ni7iwrAda6%JnMF8lmn
ze}DTm&q20#=Sal`mJ9xt5;JwI(of8%gncX!t(Ni4-@OOrj4$p(2J42q^6Yylvf_si
z*e+_~OLS>2AK<-~f4+lu1*ibm-DFd>CVMh)`wKgbN@<4?^98_bo&y^S4$h!;!)o72
z!@8`!eRYZOX`K<pot@E)a&_gKEph8h6j|`dlGJOn1L7IM^6DWkLm3``9W`>=rrEJb
zkvjF5u9U_u*w5~!n%~LipWUC8vltGSRD7FS&gk#c32KMH)`>xDhC18>kZhYL%a=#3
zpz$u=sH$K>qT1<q652rH7X6bNn$98`$0BU__OF!VV3kWD65#pqmcla<ni;#W#=znZ
z5`-VyywEq1NZSBns?i`Kj`g%PT}-ZZbD3Za>wsFj^uUkxy!;Gfv*uoNX~yG|4Sc7i
z%ggXQ-Rhjb9sr-`l_oI}K)5Hb18)-A6}R9To#_%Q<wZh7xYQpQc>69Y;g4{s>Ia}>
zh{jyV;5?I1gnncJytW)^_33;iSwD@|v4!}2@0<3a-nei5EHflHmNnx?*NTr5mNksh
zaZSF?d3@5>5x#H=C0?_Jf%j%f#(ssRE&c_hw4KMCZ4Rq%4c^^cW%vT**9{2pEfIjx
zlc8YUM>gi_7X3g@F&EsL@;z++t4%02ASB_|21}fx0ou{8^)q=83nj)}?rP=epIREO
zlUn*~<7!$K@ER{LOCT;P`jN=<{2efZKp%)ikX>0BWt#5x+cd)qv!-d!T3}Jr(HPVB
zgBdCOu({-REYEz$*jNPt4sP!r1v21Z^N~9=89&zPXMxN+EhKar?7kR!Eb;X(R-Mo>
zY&Qdzi#6=I`GM%V1He>b@S&CGW8(wR<pWMt-!K^UDR#1U4N@aZ<}iequ$Ajpt_wcC
zcg}ss=}Ih`Gx=RkKh{Bc2NWMcb(ySQ4SGT#1j=HZk1WL&ec68$l$E9vaY8M6vj0>T
z!l2L2I4=JbWin7fR8!_N>D7BtH}9Ew)}Fi&9J95N{?pl#6m3QS)-pUUR|yof2@(vI
z*%*B6zlV&ErG9~bx!|4$zHBHf)WRz;jYuAkCk>dPzW2q(N(~{ERAytpEO;5#!UW6d
zi)}{2uKYatp}Ro^VWBf%jO~VD?h*I{S3w!`{8!?(z0o|Bm*iu!6cT7}v*01@{i<`S
z0*{;C1Q9lB<4;^A^9G8&lR+?V-}GYt&mFq{zb%2x13vGo*8Jd|BfF-(m}C0U&vku8
z*_6P=#KZR3Ne9)90qHcPr2c_~?m_>k(}HyO5McYXgOAC6MAIB2J`y7NZEIKHylV}y
z#nU!)biQej+0U=b%`DbIY@^S={~Xl!EyT%5+h%yN>PMv1_RD9i_Y->64Y4YyM_G``
zQM>tu8Kd*4oXX71Lh6ugJr#6XN;Pye6HsTV8e_>P^4>7@Iz2^NYz!9iUSCNjL-~;;
zbQZDRur-6e!X!pD8CDG$Yz#E+Q25qf|4suDQ}(Gs?8%hy{XaHG@#)nVrQ*}7U*&&)
z{0!Ach^Bi6&?#BsOR=C1W5eGln<vu2<xd44KU*)WB#qa1Da9}H)oDb~dq>eK&}3@6
z_YNFpzm(E*gRIwek48(qg_BXZfBt%nCcXbXxh{ZOIrol{>SiYClG2*@yUj~Q+~Hlr
z8<aIR-s4w4Xe@ba>Yey&4-XLl257D7+dCCt$;C)sOB()sb2Vs%{c=nw8FMC)*h_J3
zMIoEIvFftE<A=<jS-3xgiY_N7hb1=qG>BxfFWvCsADP1Qb2Ye1Qb9uVHd{DyIpK|P
z;rKs2+iCTCdhH8By|)DOYzeKqCN}+ds=YF~nN=|*94(aGVoRIkmMLPly+>QL0Gr{S
zOLT|7by+3cWHKSIvsSY@y9swPkun;0h%15g$=QjrRjN$Azu|%Bf&Fc!WyluUhfwb3
z+mr`_;OU^hD+1|=1Dvp5xiAO=Awk0;?4L`D1oDbi97eHh<zcmdhK=uvIGc~Eb6_CI
zIWIq8u^^|?T_g){*m}=Motiy;aDQAg{tqlJRQGZVE%Tl@^aOqR2hj1rEtB!zZrvkf
zdq+#l9PLT>3fyC({V;lwv}y7iT_OXjupB@m0df15jW*Lh!0-9aMRMy9WsK)Pw^T-9
zub><NFp~fgzKIlv;h^uyd|Hi}GqoJknVtg>RWA_BUrI`pXr5h-nYz?Dez6jl;a^8A
zvA?X5U}M_jVS=)T<mJS?;33q^YD%6_;!3bAoVJ9ZK7&`6Y*QIam)}=AZgAQ)=F{YB
zZhHi6&zI7;xVRcIm%vDpP2(mECY?slK=j_5)n^}{Hx-OImSLLYr=ch3I=kNUZ@dl<
zsWlPpRpu0L8j!)$FV{a**QCS19qRqC-q*+oAx@7+$<xh&-j56rLSZxFU%vabyovO1
ztx0%Wdy4vndxzm~s2SGWoB3Z3a%+NBmG`Scj*f6p@RuHfeWlCBcsq~%(M`mW3`GU|
zdtE;~8F9p2IQMa{jd6nD%q6}f)DSD;d_k9Mk;C2+Qp6@&%6Nj+n6I7xGc;DRt+l`W
z>GNl|x0gG&v(`IKw<&H*fM+0;G}s+U{`XW$%9}qSBO_ypFL?p?+qmKT8QXLI%=M_=
za?zG~d9xnV=bFvwQAu=M>abLL2%k!)p7;qHoK_XD=3tLhSx_29<Nf?I;3d$(yh{(3
z1hZ6WrPu7V$=<Gga3zsB5jQrXgyUI>bdP;Ps(PQ<o*9^n<C{y5A>JiJHd`zf*-ut6
z!ryyH#$qAy43e0DbVmR2jF?F+hW<*z!cH3O@u=G~(Shwv^`J(&Csbj=oP2)@Idi>R
zby071XA8-$4a4s5>9IX3Yq0MpaEVGv+W#w|-EB}+2}p1G0>`0Z2@jhaOo7YX%4$MR
zTZ_xTxvF7Wwbnb<F1wu1Dp+t9G<629_emkkm>Ledgg0GOEZu$fx<f*TqweKv=fvC!
z*CXUM)%8W$EgSy{tWpe$NG1W}uc}DcT^@nA&D{7|1l%>r+&RBG-%SDoTyl!?3p#c&
zexRn(low9F=YG4&{Fk!84_O7FAtBk-Q_TtLAkfOnidv=KyHHFz17O@vcCmQh)Ak@J
z%Sct(uCTJ_z&bRs(X=M$W<nM;wb4Ivp7m_Afyk;6rUkhWwHW1A4V<+!BU5+8<x2hs
z5iCJ-@X8=#XM+%l36I9D_?@s*tR0}(u%;RGWU`{}uyxF40ZuGsWo0NvqXCqEtN5Qn
zY*wgt>ezgKZc9$ud$rV8K5O={*`^71d7E9CAHi^ozg;#8kyoD0`f@#t7HF^iwwZ(x
zKtSfk3o+&EFBxt|&#+}@>Ro*x|BbYf96fI+FGIU>4W<q=xclnSIEc&SeQNYCXlXxE
zf@hdWSyzB-NV{j_2(5}{0{9;japT`5-3K*8h;AZod5zo%g8MN5KCdyGB<_nOIy;ni
zF9jwEvu8Q^TU$%pe!Z11cm47;0Pb?G!-z1ID;Q2dH(jF%34X8~c|~9^O;6YDTL5C+
zKfm=`rKG3bMfk|mrZzAlg&(3|mLV~bMnRV;AeXo5D_Lc`mH(!gjn!UpJ0*q7<a=sV
zT>_2be|v9i#u=k6lo?2&&*fDBB@e!yz384>L{jM1B9O{R0Qo?vPodC>O$O*30}?wR
zzEIe-T!<m<Vnu7K15*_#%=Y)|zfY`&2J{_F=;g|^`aPC!D{V&@yF9&)2?c%Z_i)>W
zxx2=uJllqNd%8eG(6;mP7iX^YL0%J(^4!iy#uL5QKkfn{#kNm#Z_(?N_3)1VVpBnB
zA5&#W_k|+scQ+(~fE|O2w!JnIMZ5uOB*}ZUf0yQ*`G^Ij2%Qh%L<MF&F(hNK1-yBO
z?+BbNAT-DY0C5O&^SS#M@o8Bc8+&C5Yewyc_ZYmanP{otSu=XOcMJck4HPEWBQ5r3
ztYT+E)y!CZ<j|IxsaJb{(tF7xwOxlN<@5C8)#Pu#awPHn@9E{fu0&O`Gx5}6AJx!V
z;Q5Qnkwj6(;6r=6g3%}ni;KIAn4MftYt5&dsftf`c6WdG8f^AMi>ED}9&k0$N;*1y
zABiqo`mn4f!aPGZsq^L8W!q~&Vg+(V7cqy~$epY6gJjU)!|LF_2FDCA)@Y>tnpuET
z4J39nkTWKy@_q@rLn0BU_ypY~RaX@EHBv$~@Ee?Ld`8CjRG#$1<57jVmDTaJr(_Ic
z%J}#R%qkFR?cRKOPB&(}d}(v1D>J`<b(|xbr*`GgFJK$!@xaW@`v=UN#xumAMpc}5
z73<F);PK%qBRVoO-k5OZhVZGl8c=5{3V;saxa&Wc<=P)2g_DRMieR9qihO%ePFo(H
z(c_pA?3t-~dT9HYOLVD(L!dmeQYg{F_HLgxdm(({$=Jk%+3nIuN?O{QUc`|fi+0M4
z)$?+Y0%grvaKJE9poilL>8k%srD3^GlS8L-u9R0cE&-a+Qjd8)LUzmV#DfYvQCBMX
zwt7zWY;%vE?|DQ0fN1^3ryj+al*}|($}o_ttSVQk`}HnQRzv}`##@~eI<CSQODai>
zQ|*U|<FZJA9L}@3^oy76FE=pcM7a3Gv`i!0%-wS3D>fHIbt+2^;H7>|7tYuVD!YHU
zbf^>!c;aULYg5D{Azd>IuKXy_`}8&S_b6A{;!L!*<jd4;PEMS@6UNes^m)0t{*{%C
z>0Y<$Kv5AE5&3`{-Zz`o1dM`s-ps1{uRaCVoL<@2c$d<YoVg<Jjf7B_<HSq(w=-0e
zMr$kdvIvyzbrU@ORGOY{t+m0XHL(bPbY33%e|2S{pH5}-;>+@KXjd71=}ETeA)8c?
z&2qbbVQ0(clV2%fp@GN0HK&<4Bts#)GvhYZm}RBCKP+C$&AIa9S?P3fn+_nkf+T|l
zUWw6iZxLang99=CVK)$ee^SYTxs31CuXE{5wL;uE8(GE0&pRD^R+N19W4hgKLVo+K
z_U!*E*xDTr@>Sr+>Esk%dD4A8EjwX?!C&9Xk#gjg6%!(gi*xV8G2xqSb<}E15MxNI
z0D{M4EcM{fR;#?cJmSwE+^(fYu&WHISWR+d3hK%2^Gm_abF1G|iui>1Z?TJqLFk!3
z2q)=~hL)%!6`v`$ji32cRjBw|6;7~vR<_jR$R2RvE2%RYXsZdi3A@`WLN?8G(lKm<
z)>2lQuM})=p|!7xTr5>5#nYyBg+JbOMMXiH-a;S{x-vRQPywWjjt=U~rUoMT(<jVc
z-++9>;@-zR%A^!;_97G7kg4lc_vKOzV6wzSTt<jwu#|r3Y-Vq6elUjikeKs7Ri{D)
zoZG2q<k(L6pV$Q3eYsMC`CD+4JGSx~6l!})NvVv32avh8PL#eI=<cnA3=9m>smprG
zR_N=e0#cINUh}vX#a}o$DN_U4z0Tqm^2Nz6UjshBGh@U_n=;Y8It`eAkFv2FS}}(w
zT1Va{C2inwIBcN6RPqTE)SLZ>k>-<$XlHieoQR4-S#W8#UbPw{6{bvxuX>eUHRZn^
zBGk7NXdKiSHA;11Y8D??4FthV`iz<rnj^saLNH-@%wG;CM+-MWbFYDKU0fkapge8#
zB0a5^@Ja=85O&;E&2C^x5MZrU<y6-a)JR<@&nwVOP9Dp9fwhyIf#V-v-36k(6wOIA
z?6c%Mg(g8xWKweSnB?SxLq_+2H|vGdIOjj&6VnN;`*F8W&WRYd2O)P*Rgn!OI_b_h
z-NHF)X-+W^@5i~>&1)%UgWNl<C^E@XK^NvK<mL$)EAE7Fv4muNw7o-lf27he{@~(b
z8F-@YL;1(rQRDt-(qKXFEiHnOua1jd0iP$2Zc4QwbF*33IH-<pDRnHfDPj1fl)HMO
zOo24L>C?Ar-0tL8e_^ZITO>&Lw7-VF_t^6ni(v`{3XBv`U@Fc}#<~HLb>{^Z!i}B<
zZ6cbbxIO?SP=((a?@hfDSX_*7nE{;pL)I{%_r3maWTG)`msL>}l?0%QqmfD;PO)41
zUI8OatS(46;@;YHs-72Bz^>UIiL<6}-}DuFjt*rELLd_~aWgYH94R<>|A(@-465=C
z!+li*L>dH<mXef`E<q_N0qO4UZUv-6K)ONc?(URWbS}DCbT{W&|9$rCJ$rvRbDUW-
z&iKXmeV@4F`d#;%HSk=r#7xWv_R_>`Y#|BS`#6&{BsAS0!!AF9CG|pUb7P}BiNm7q
zbeK<4N@@+%osIWq%CD}kom>}~YN2B?*l9kW-`1w-$?iQNCG&VYi6r14=%Lb-?Ht8;
z0TX;@DA~ctEBHSiFG^mkKjYU|a9234#;2g=boH<^d1Ar3IceT2>M@c-*%v4EUic~+
znwTgmDEP|et^r?!b@1Ce0yhbeSs+%#Fu0;#5P?#}V~$S5qW<P8WKrA%U$m~_i&zIm
z15b)<^dIZln^I<MknvmWaVJRa7QLV$%%0iR-rlwKclJ#6_HUI=>qopF`|Nul!h;?d
zboPa2P#}WMpro)9`*|P<x9#^g?8YM_BTv3JHu7a=W|~&7QV#M^{va@QOjTWa5;s);
z6t8ZzFcQdj%IRC5sPd(Kj^f^miDIDxdLf$Q1DZ3!r9J*ZlFFV6-9fAxQY;jAIVG!+
zaZ}c4d;%DJ-S|zmvb{ZH8+&E~1n0=$bjKpTxLS);)X|YsP{6TixuyZe4dQX4D5(zp
zyuR<*99527F4udnU6yGq>dph1d6d;wc7F{M;doU_KnvIK*?GB9zE6+&Y^Dx6F<r`F
zk_{G1vP&GHcj~e_WY7ny$QDu5W&(EwYAR_N%Iyd1Oie61)c%%i+Zcg7HvGzxb;^k8
z+1gJ3<m6<nt#q3%z7zyUUJ?eClJ%Y3^v!<^rBs4~Ab0*n1#}>;S)CT?uB*Xu4tzJf
z;3mD~Pt>MrEP9zeJ6LBJb#?B@gKp&S0a|rog2fU(IHJ|R*7@K;r%1fzYz3lZG(06u
z;BhdnrQY(oZq|<e?0)c4U2Ss<G4$BUVG9%Ht#9BRQTU0sRKm;kxtER-r;DXm>>;Xi
zEin;M^q>Q!4OMMsnE0i42da1+?ji0!27`k(@ikyc5d9oqv|Wy9kVF!)R(x#Y)-L6l
zbo#21!AFFlF+DWbQ5%<X8)K&20NG({cwd3Y+S>X#GIFg)YeK_xP16aXzR2g*>G5I+
zt?p4C0R=4Z>pDYDePajabv`ulo78s?MxpgwHlfX5g`aSq2W~s^dU|>i2)H}e3R>%U
zm&RkgX<#Ty@jzbD7QFMAR&L?;o`F|^4R5S{wQa^6@@PsY%R_I_v+K%}-eGvp+80Ua
z40+%l8mNBd*BBVLvefGMlT=@}wEqo=mASVhlODetauM5(v2Sa*Z}NR&#(MRtD^EUK
zy@k|$`)x>Qs8x&i*dNIvoz@2^qHEe5kPzCpVnsjm?JLT+cj6Y|YxyG7(VX4maQ(f#
zNu3tQQH4h{rWY*vqe=G$-dDo5s$agm?2RA+=~>38X~TK>?XE{Nqj{H8V<dA^#6x?g
zr}r88<7{;|c!qeYV8P^!T2TfI(=q~el0q(yXEW82e$Q#?(T>x*Y7rlW&kmeY6IKtt
z=PTwasHydXqXI4st3POf9UYZ<(FZNp9XhLd{4Ra-dv{gBKO&{5pv|<Lg_U<0oRVg+
zFBp`PIIqu%Ho>9Ru2&1SM@91cu`v+u0$aP-xpXhbbgy;S8`Go_r!J#o4iuj%1rNBz
zl#dyiQETM(@E*sjqn^{6qD5VfqWKx9x@oe(q-NEk^i(vo3AsL05ET^IYOJ!~nQc$=
ze>f5__Fwu=H73&-tTOm?VZo0%#h$kGd8MeHxutL6Cv0B%uPUFKd@>3<x5vGi1VX?;
zA5H*2Y}@rP1+U0oYuY|_S@Po2sI}g&>D?bVJZIBKD{AEbU`VJ!og1aCHY_9Lxw30J
z>|rc#)zrOMU<rad>`SzSA?DYDJuc&9Z+jRLkeyq`70!y;PYp2MO5*5|y2JLjZ~Lc7
zw$}D~XO*rgV>(NW?Prvndvj>L8Y%xy%h`d-lnHFA7?{o|C@TkOm%am~K@j30VUiB6
z_s0MQp0iVeFYbS}&6$TJ!Az4GwQp@4ehMg;N4XPUVc=?{%GL*bTHnW3+NroYUP58p
z!ErgEA%7IynPv|z#T;q9f4}L%h`2C>gjz95J@(3b8|XStf92s!GvVi;t^F9qrJLkn
zxkN3W@2Q`P5ACX^W@3qW7pOIGdEGdx>i$Zn_+2eEWO>QJdTrRMG@awVnaN&}K3`X6
zn|=4PB4=ITNd*zcYB9R5{kD=N{Vk5iL!K%l{NYq+w!ypH0D0VUZn}3?RaI4|L$x|n
zwpjRT50TCKX0i<pd4|a=0zS_xmi+vDLqkKbT7x1YjOVJ%px{e{5%Y{quAG~CRJ^RS
z9K@n%^6Fm95SY1q7iqV@{9#ipa=m#_M~g%@Jyu?)BPhcao}pk^lmua96wniKSsQ}Z
zX{z=#F3#EFjW+Xq^)n^guCu()X^E~Vpp{k`-yB*W8A;%bj8cwt?<j=?F;NkvVJ6iW
zwYSt!!Vns~Lx}H=Sc%yiO08LWuVDctz=O@5@7+v^u2jG<Sp?S=o-K6ba|TB}(>O19
zeh-w#tMD%Q(Mo4t?!Lh`3?>D%{_XAUu5NDfYHE^3M${V{8wt`hH8xAb5hQ%BK-paX
za07D#pCc&TX<u0j{PQ<uWgG$m2`ek6ot>ROxw)qo^EQ=^I|^yuH#-=mTm)zYXu0k+
z<`%cZFE%1QBJ8ebGBw#vX_*hpZFEF4Z!HHQAmpU+#{gzZs8$SeCf{r+Bn2t^EN8ZM
zZJ)PWgZE(}IpUFA(lYI5v3OXFu)TGN)v)x#K|`udi(#!~ay6&i+hy9^cKlzRMOB>{
zM;Iwt=V6a*k6}5><tb(!hqIsp9k-wVY)}5YmoR875`BrR=2f;b&(PG7s!|D(v8wBz
zdW<8K=Gadeov07lCMXv#l^B^W)qzA)OU*R8FazBoG4Y_1idHvBT;T~c9UYyOwu+7p
zq(rN6rp1d7=tAI|q3Ql&-t+Fbm;Y+nk5Q|kYMjn~c&gRMC(Y-<?S11O8xAh6or6QC
z>4ysMd-u5aTK^6f8n5S<9>l(W#ljT2vu)hxKOJP}zg~}7AaH|}pMQQIQozD4C<#v>
z5=(x7d>o!Y+?MMyUtY8Zy?v?(&w{@+m%nVNT!giA99~9K&Hhen9AE<(4Q4nJW;lK^
z<67qE>U#^j7$YbLA=F4_9HI_2LMK$S=AAnGJGxBMZ)#M(ksual8^d9m9ARPfhD*|q
zQL3(=jZjjIa$xE<*?UT2EdNlZ*AQ@i{!qvCuyd3BXK&PM4n&!`ys94(6>lfU?<%YN
zR2_7p{6CLBrk>Buf<&U^-uaE2(>^t)Z>1!;F?~u-UU`!6gM4ws&$?Tj%^f-UY%4x$
zj>rryRdd?OtzX-GDGN$M)zEbC7cmDCjvTfv#6{$@kmp`gMQTq56WIej4(bEz9ky0C
zH>Y--K+AS8fz=NLL`Q)_cR%*_ECsKY5wzWRsNt`=sk!-jK<B}}q|;^t>{xzS0*IJi
zYdK<rm1F=m=^nH`21E?LprTaENBtP-b4U4j>GL>k-&j*KwNd%3LD9}j0EpSONCHNJ
z5sbPu3DUzFi@Ng?;G6cFc^>#%@G0pkJluuYPI(B_ZQcvMrFwzVSGN-t=RZFBc|uJ#
zooCiQEGNqQd;(H1celWc{L$>Dq`-U}GSrLr3J>HVS+sctA)@7J2KObZtqk;Wap}cN
zOa;E(pzraG@yjV>>UIzxu~NSsq%;ip()h4@kg&|^w-?buc|3^8%UcI8m~NkMv4qkc
zFtrRW^c)5<>h>>7&3<)%)tbYx&0852D|!pW$Lt%=4y5b94|sc}W%cYTTYZSkNLE6C
zeG%N8s}l$KGf7I`yi5uNtLM4S;O?r6y4I=cuKk5lv5{N5&s=zM=`<z`59KC>#{tAv
z@4(XcjGvQ~kXSD7B{cx8@us_zfvc-4ZaR^zqqDR1L!U>!N)t#<OG{d{#kBoKtV)er
zNnoJ(((J)sbdN6~3Gw_-d|WVDIf{@qVw|F9QRoIEh<ieO1%P82gnmQ`XAAdWm*u%|
zTg#>U_QU0^33Iw1qvW;>4akmkmGKx0IA*KzUK%S^)1(w2h8E~os75BgLNylc2DvB)
zb<SqaT2GEcSO{Va=ns`YSXLzzZ_&R*3I(sRCqtD*;}u%S8^2koW65kjt|8?7)#Wgh
z#lSF`1f!$=T|r&?iRb~RbjZ)bwH|gM_gCTglz|o}ZmVstzY*-J51&rd>6HQVupNl`
zCk77c?U3L#r}-<IM;&RD#<=qK(>xB9ikd4g=Wm`%_AMIY*XWxO;@eF4sOnaw5{i&u
z?c+g}63v~73$Qlb)}zEz=5i{fQ@G1Fwgv~KUyF@Z-dFIXUeh7ezx@zC{nDi#UN&Az
z=kKXx-((Sh*S)n&ZIn1Ay|JG+hz3zGi9}v>pfcNnlKmPuf2%lM4xo~5Zandt_QB(G
zdj)AX+CDJ<C{0dFmK}h3pF<)wNifJ)0+6_dOPLO-uo&#MK1SbM5ITlar7KY#&flea
zCbw30!p5GhUbX0Qoo`m+I$p+MJ5oLgH0QL<Gyc?Q)$NK2gqAb%<yi|3ZR#G`%$T1;
zyhb3nK&1=v!l?L%zP3CTl|YB#VgXMaC8b1Gs-2?S5>oEpdmiz>ybf_llljLtIpdjB
zXY3b#{W^W**bB-oT}gB_W<NI;`1C9*l^|8ObW-&8DFHrrXZ4R4BJW7u*0H0bqg{`?
zU+0&U94Kfcb6V*?++9m2u>45n<9m2Q-`3T|{a`!lXzu7<@(6iXg0a<PthENDa*Z*K
zmNITP=Dvc|o>&@N{6i#?7hXBzUkDZMZjXhH=Ot^Eoso+uw`+pVNe3Txb@JF%X7I#y
z#u>y$p8oGL%#G7p9liM)D<+|LG&FNg`=CG7E<WpSK9uVYyakR%)VA)=3#&cL&p{i9
zZ*^;@9U)$N)wk;5%ERsJSG7*mB^%wfa?9j-*R93EH_1@<1?a!#Ubpo%GAnCJ`o44}
zAN2`)50OXiid*KDDYBOJX?_bv@YRP)>(!c^kBvBM=l5bLZ{6&Ajp@(Biz9RdY-vLS
zBHz-H2dQWOAY&hM^Bh-ioVx)0Q~wp6X39)Dus%B3HFtF%aG%;To`v>QAfhH>E!=S2
zJ#?{pH*O*)&j%f!nvBc1q&h*>!0Tt*l_J0=nBH)H-n(D?59ni}J;f_B_t;eeDPQcX
zH#pKUw_H(3#WCvbjQt%<=8A-swx)r28i#c8m<>IqzpKUTR<*^GC*AV|Wp;KJEQC6{
zwK{MnG;X2H<S`tcZ;3d57b;z{<pCOnYG&`SQN|t@2sH{8JG3!geB9A&-0aq(mDidz
z+picwp!DzKAYUSEnAbZ;XkViT(tY6-fb`-LZJ7&UljUudP#PiEOGl+9XMK*=IMV9E
zRJYM=SN{E7&{a#nW+?qrYJQqzg5eVy*~3eyWp3Jx+EqL5BllZnL~UAH?H<sEpnY8C
zxRlG7u9xao#7>k@zWHtR-zFW*c(P_AXO%t3%3a2{#q-*}<?+FTf`X#%d`hDpT<C9D
zbiWsNR)iK5kl-t^5}@7f$oV{L>+KCheP7pBa^b{Fvf&hN%FnMs@_1UIWXYShVBgp>
z+QKof9zICqq9bY49PxO&jQquXcl-6SxL>=e3f~hQYrejL!kQ{5X96(;am`gVbG^Z)
zDh)=E!EUdO!kDeOkfUF>v|9F?nC=Hm0#N3z5Ys9&2n`6|99}WFx~<WfRZ;K{6q8Ev
zxkdDvTcsKBblu_j_F=cq<=h_h1%uDdv)c_HEoPv>BRG}a<<mz28|e;N6-^t?)hiPd
ze@mJIOw>In(y`ZYwrvR8QEI)ktmSN_>oX%hUVirOlQZ%jd<$O!R_-@Dx%HQe9%^7I
zz(2B%&ppSI=PCM=^73*tGQkuO@B`-R_~<C3pdbX0Z9sQ9+v+1EmVIthP*6bi?%nBx
zqMY4=)3g)JfqVM!e0Vc|@?<iVD`T<`dVLfBN@?23J8FbFnkq90ty#mZZ|e8fAcY+$
zsb3$K$Nt`yQyTYqII{PwD$Z5WiDyX!+OS!9yRm~_jMJm7eU!^zN;)0mfh}StoWItI
zel$Ye+F=*`WiYK>ISpKI<5jN)Xuyf{A%d!g=dZ|0&T3v~cfBRQ$$Dt{xzhX4H=TQZ
zdd0&Q?{Q2j?4E0t$&^Zt#6(B;4G#XPt4r8Q_eq2Q0PhO#I+fIKCRvwWs3<A@+^Ev#
z{%bamlqxIkcAfu-#V;Ume149o+Zlk)e?FlIb)L6^$0i901Z{J$R=rN7hpS$p8tG1W
z2J-?9&GAc-Q#ca+u48KYOaw#EU!3KQ{vl?ssR{v6`B(#+<!~{@czrYF;_*uRB|94Q
zFcbZ6j5@?Z&<)P{)x(4KXgfvKD&YI}YQ2V7NZx2^BE<svFZT9IztWQD*a;#21Yb?O
zl}74|h`cE--oL5Co?dq>k6g}d@idsLI`y~1*J~(Ne99Vq6J^461I?R|mJxALaq-iK
z+d~j}LXJSVbTrI&_$xhK&f5AtFcGz)X&pkWtx{(?-5gp2omEh!=Fuwou$a6EBRRib
zg}pesSg+q`tynW`kuum}pc+2(+VsfU#6Dxst(#6hBQEH-aAGXXJS&0)B6XD&-#zD`
zxfS9PU^&7Gaa7{3gWbpZTx!K?6$;o@<+Nq0&VgRH5R8Lc%Wt+VGl`!jAXR{+AgU-8
zjb>x-e8+dqedt|v%saUX@LK=t!QbpMfS&YBl^Jd_m(Au6WYXmZSjig5KTJCOQ5J9@
zeNmMC{Q#4_5_&ksd^nEuse-nEeGPAPKY<|!fheWIx!B3PDn9<TprGKy#Dp%Jnn#+U
z+UBS@nUgto<6o7*^<WDVMR1x=^I@EB)F3#^6esae1>f_C-tGKT8zfHpZ1jmz=zyn(
z59U0(fWU7vLB1JDDlM8CA=6vodcI|~jdpR_(Cm2oj2~JBPDmy*N{E`TAP47Dwdn1w
zwSgp<b#L!b>O%L=JF5Zr5JJntKXoi`69uS$-Z||e4$4ZvE3Gc?B2MNONt{~);?Kzj
zK^0bUG0(uu8Xpuxej>%(m#!qoYyJpSmU4E&vmu)q`Zws<IA10z>_q~EZRPT;zvi#6
zJL=0b*J;N)kR60S)0aVj;6o%gD=P~g*1><=j@wv7oR+$`7yJKbN*{psrUT?X3H)ws
z-rnA_p_yFG(|oJlg<EXo6k&(Xq$_LT9$JJ_IuzjIO%Lo*Hyv4Tiz_wzVfWbs`E)Kg
zeZOT&9M%p*Gj1o#@mof@(gQCV!WE&2^JhuVNla(?&Nkw8jAtv1n!rH=ig7<18h97o
zVNCEJ5;|emYIkV;PEPU*RG8Y&ma(xh*Oi~IXBwOskTFUBG&Q9FFI5mzy<szap_nVX
zQPOxo!NfFV7I{7PZ^%+8F>uk)*z-{}PLnsB+(vFuwXt)PQ(xp6K|Ibth(K@MVX;jx
zD(bqN%AiPLl-vH+K4)#EK7{opy#-yV1^Hi{7nsAT9U!nda9^`Xo*#J=#{anB4j9X<
zyrT!N>1aa2cJM7u_fc-Aj%O%_g`P-8*ZEAira_w`K*K+<S7s$!suYxhmwNxqa3b;#
z3w@XLw)6B@rL8T!O6qF+_`rKEQWZVu<6=|IlV&4F{I;|vphAoU!S9o+;oS$MK!3Ya
zOr1HXm|uUFV)Ar(Vcio^rFxdPKjTdxTPr%sX))7S<c&E=f7)~dONG1yX2O$oRzGV+
zRf@ozWOaNl%r1<z`KRotCyXsZFhJFXA%T?jw+soy8P}im9S2A3#KbqSqXkt0$LLg=
zz$Z;(HK=p#dxEhQd$a|a({7|sA<{>8zjUx66?V~0uI7pAH2XkwU40g`FpY5%*&{QR
zl}B$A))+d`rdkk=4noM#TG<j&I~Fq?&JCC64IYY6)gicsh{eIL(@Kk&!*{@-S6`WN
zulV2Q#+p!+yv=+BvwFUpvG2VU=g$jJj%ZFSEoBaU&1?)*&Hry5;S_8{`ETF4Mzevb
zmLW={;0<lOwmY2*)D9U$yOQy_^{I4xeDenufUtJGS_w=g6gQET>xz6G_tX~h6L;^+
z2(@HZg?4X@P6;S7M7;Wqb8t9d#ojX$o8eP^KhZE9(~Y+tr*t~|iHnV!Hzga<MDCrr
zRJAN5F!%iA5W-}rY0r2WM(iRREhQOkJ8kN!KhA79SR0YWe{_nu*L1E;Bi37<nV*-$
zv=8X?tF_WX`ERkGHmLnQZtX9F%AKjV2O>x<uX&m)Qi^uXz3VoO0|EjZ>Yz2#WnY&1
z=8>Iip@OQ)BHsg%UDC6sv2;E3Nc}`Q{%c~ZY<?wLTHjv|$F<0_P8yrk&V2Qqr}ZwJ
z-oS6j>egJKzV=acFpR)AJ^A&|aHYGgnMg~zS}$c`4N)WI*Cfl3+xS_i*dG=0B^e=)
z&-*{L4lBU%t1DAg8~gVZ+DBw%{rY1r0q}k$AjDz<me*zSHg2W0(`OIC{M;@tW6yc5
z-TN<E<$WE3=nobkQsdvKhKK172qiatz0E+sGh|W!(Xty06E+tA_fzR|auZ3Dw>^3%
z!kStN8)}UH=EC5)bG3?I-r6~?1-E7lXc0-HlMM>oo8WG)Kv2b751W3lTQUm#%iQJv
za>nu51JTaoM0%0fhl|U~Ex4m6;*vg4Q3)!84>TCk&1}L#3;+Lxzs~sxJl$7rZdj`@
z8PR4d3zdHsL@XM=mB-83q!>_6FNF)ESou^X_9TSqXexi!jeJbTJ!3ECOX<J*UH3kG
z*!fRUd(wJp%Vv|plEmMZC|aHQT=}>iLKeDWozAe`FCAW<psbQCz6x>7YkHpDEu#PN
z*AR-k#zovKyM<*3uB20|8+mIPqHgFmcGGU#E7m8?-JgFRe`9Ui{Cw^h`By8vQOrWc
zz9jZT6aNJUJ^DF+!y)dM^Xkv8NEr^xLpk-hnbgL}p*hgjH7hnbSaS($>YP$rMgl7V
zOv9_M%qc+F`4gQVf<AGGB$of_Cr?{)X6B|>*|QxS%-&Fi*P`2kQ`n9`7W}Rj_$P_+
zp~50iCEs>+#w&^561!`nz@DtsoZvS7e!zXw$iR+ra<mfnXQwItx=<^XWB#99mE#P8
zWhr;CFsq%{o#En;rrgi=7DD+)es}ZN8D2`WmWAB?uN6sGbGq{ReGJ`lr!D^EJlB%8
zb1BeH&)|wNN_0EjWVKo3r>Ca})i6xBB8vyyF+YF){IAA!yH}Yo6rt24sDl=P@yUiw
z(L$X1vU&FBAPEnaBrgXwgW!jtu_X7v7>Dn_z2AbO-tXzzH0jix+tk48PT!pb;)Dvr
zP_1snCsc??iqLO#f^D5Kx^m1fcP*JuY6|PV4=5mU;RTd`L3@$)Cv$OSomlsyE$smz
z`d{8&oloC0Ggq{%vnf5KLP4JxDB_4^M<5d^d7P+@r+U&7IC5kaUj5J8d=o~m8r{lG
z=Pgu|3L5cYg(M+6gR;-Xm69EuYaKSx5WcrRjNTb9ccYy|iXiSvhXa2yf>PmiF4D?+
zE6mwIHEb@{J|7BgLY;yz>O0LljCU{>7jL^54V*_YUpbg;#-~Z5E8a)M<ayf*X<FfJ
zi#s&+7EMnCLP_IMSh}LJ$HBt^>VC{GtObgNLO1k==GzQNFtKcP`H$jU>h6m?t6kkC
zrNq(QtCA2j{2n=qF@}+xsNIMnI^Mpa;BkWG*Zs<TU_~nt?9Qmf4v{~aCJ#?@;svvZ
zP}s>jEmCdgqN1RzWCoJ1wj-0R=jW!af}eSQ(_FkXS@h?;bgo;6kdfrUFsX=*+ShWM
z16Ify`v|j%kea=%fPPBXvx+yK6=r01dcq*?Rux>Vg8X;2CJ32h5k(j)E{sUne`b+-
zpV||3hjU?!HwPW|W&OmW!AQ(R`$<VD2eUka(D`q62BjK@QqeGP`<kNhaqoFyKGz#J
z!@F;61q`$5Gv3_;>|TzhLbW*&tH*Seu8+&wKnq=GGvNwIs@_e`)jNc`rbjH`+N1zC
z(4_Sjl1pmOtcZ?_c&?$zVM|NX-LX=k@a^0CAi2$&DtZ1|D{yjhXVqm!d|ryUWIYI}
zAEg}CkiJu}T*B8^>_m1b<Bb;&VANH=!U7js5&c{*GDgu>1Go9}_|M@PV_zY0CytA}
z_4ujX4^C>2#7^wM0-Ik8G2Pf^Gd_AaeLOK0VUf_~fp60pcv)=JQ!Zu38j=!o$D1DN
zDj?*}r(_I7$0g%DgbXVT#k)b|E$Dlfm|kU%&0Kez%xKkzoc|@Og>o|J4<(U1<}!P`
z;I^b4@SjgI?+w-5H>=pPp}Z0WK*+nu|F&~Tms_8Djwl*1%6f>y@boaMmB%KP4KL!$
zR?Vp7E8RDfo3Bzzkq^t@n{-ReNawcm1+9sA&@lR*m8GaC0RHgR?cN#GsH$?CaksWQ
z@<ubtf0gfKD6FZl9B5JABJo^#`_N>Gx3q8GcqJ++BjD0{&C#mEl3GgIk_dLD;9On2
z%hbL(&sGKNC)b+>o<B@(<wKm(#;9wGt95q&B$@=Ev?V1bouiD}TFupyWVtQ}%}E{q
z)F19<cb(IxwO&WOW9uUmmG7e~q{+=mQsuj(uI+s+*6P=xfvhjMses^O9`zLTl}puS
zPzPIFP^7%o`s4S%#W0)at;LbGEHlTLoQzl3DnP$N8j&xL<`xyJpTH|luZ^`tItr~K
zX_FXV#u%*DdCkx^EkJ1tN)5DRX&x6RZ#Xn-bl+Y(aWJY~DmFrPYO`r@_O~KMmHG-w
zR->GRQY+85hA!}5!)2V_>T<h-!-r;CSOQ7l++>|m%jB42NMLQ31git`sd0&NitjgA
zG9M|;T=~{sC(mE!+meCX7}N}b5zX?$)7PU*rDUxO=Osf{+k;}-{0+YMlRQio0}q_5
zylMPL)Izg7&F>fAg*|bx(H5!?7|XfWdi3z5#_dFcH>fwA#gMdv;-}(W*vW+3=gL(K
z?2974OR|pWmN;*#3u85G`b;yCzvT~t)Dka;S|MwK0yWLssSFpc%T2li=fS!ZLO}x1
z2rCS^;Jd364WBfeh-KlV`dNA^>$OP)oEO67w~oS^$A=E$1JufYY0sa_)_%nl3PA2T
zHORDT<o#e%X$&lK|2r*sQzIaPw_z@eZh=f1HBWM<F2e{|eMLj@?bgCC@RWA<ImsY;
zr^l7GfjnB@ehJZp{vA&{18EWoesu853lkHuTgrdb9Oux7-Pa_@&{q%_zWLJVde3R>
zxb)E|+smJ8*F)Vg2~6)!Dx)WN3}y-!4c9SYD#wB6Rx0)3$CWJssp0yEbabmBr9x(x
z4+O1GYVfKa3Gq25%8wc$yy09ukaXtATA|e&pv?4iim3Su>jQbv`+cDxsVuQ0w*$`H
znpAuOsc4<&a>RRgE_>1yRPsia%ZGt2!onM>R&VvvyrI8YCQF{*H{L0dC?}p%ukZZ3
z)*Z7U*e2_?BU<`kA<Zi|Gz+!AHMM&BV66>J`7n9#Tp%|yjNSnB+`?8C!p=>pf)QB_
zSm=$PK`ob7^uIrHpE&i_Q|*!>-9(C;lmI6{B+huRpXOUsLse}%Xs9W|&GkuPHw$;_
z4TG6cuEJP*r)^=ugT%kO7WYKbZrqE3M&^_%h25ThW>}`i=f4=7&b&xpN69()aw*aN
zsY{M#n^CKvoV<Zk<9?I(s!1A&8$v75hj^d?dV~GDEw+5^3UVA<JUnlAymXzZ%jF|*
zrPOG3?=on$SJX$IJ*=K<tbV2YK9Xd>ghxYtD65jXCX^zOmB*4?<KGw^*97)HUKdbp
zl;yolH?%S53K%z|;*ytJA>KYmxyg}9{tx*CgrXT>KCh`!(9qTch^%!-vqa%d&~AC>
z$lHU)$i{DVJAaK*XiK*5p6Q-sJa3tE{sleReJ^ma{`8ptcH!oIbrb=<|FEw9we@XH
z`IYmQ-a$Hhlv_5^@o5R;dzer{t6X|`uGm1-%iEW^3m+Vxqax?pZA_=zHjULNOphDj
zUY~70t*|KAcQ0a>36)vyAF6rhZzYL=ma}NMXa8(5cDhWUuu?9ofL^f!nMXjlmC=~7
z*8-Ji^W&jieI`bwz8OcVKw(SRS2>@m=$?af^Pz}Ie0_z%F89Ehl#JR9U8nb``aLsV
zsl)o~izGHDkx^U@;wREi?1}z?PV;Xy?EEWpzdSCNmIJ1~X0l-G72=}nSh>n{su{`<
zDT+feG2>5aTO?w+X}zUDNs-5;f_?A?QWT^C^l$6gd%z&Y+LwIhAWN7I%4fy@*9jeZ
zAvFJ(j5kbTAww25;rLFjm;*R`bNe3To*U}VJc%>1vA!gh3kTR*Ft1{7b}vjS^62UZ
zbDe-0(sY+hhP2KA!%iU>WFl2q^MoFaWEwz|%v%)+<^CQwly9R78MbtKm5<zHVI)5+
zgNwhah}M}rdE|2S9@y*A!g~Y4`0ydvYI3a_Zc3p_O96=3njRl+;n{f#zZ*{3LuL$B
za3Z@&1-vZQuuIR+&#y^rb_sN~hU<M%f1pkNIH~)vk1aF1DQ4DO&CqkM`=Sc^lDn-y
zXB`y<#Ym8mf7Ac4=gTqsZdOHKYwoK>)qS<A?fy&t<S9Ug&1*k7Sfh-P^Wt5IU8)jl
zur36l_WOss`}ehL+ZHp}z*fp&jJ1vVAKgC3=~$hEaO;PM_=6e2mfJ%61YC}$$={va
z>0keyRb#x{dLr3^4M^!mhJrM+44>bhtX%ulA5z@$kP95HP9KawxJHDV%SJ_xBpEG%
znlKE=XFe-n7}~DciHTU6k@fWtqzx!{x<(j48hNRls$QdD-1m3vYhNlIGjOU8*7wSh
zu?oVh^3_fMU554GG{k>q%pTwR@Ybu0SPsk!sdK5_q(86<&#<7nF5=j9G8Rx&c7gs#
z!N=;oL~P8j)tg-`$hs$yjg><U>dZ^HrpR3@c6oH#Lw+#&gz`p1pYK~tZ!_QGZWC)!
zsr+ff^;EBi5&i7id6LQ`z#Rc6bPUq>3iosKSE6RuW%#(bonV;GKN1(Hu)cm)D5Vp+
zl2U(PUt4q2%W&}}bqnCetS<Q|0jpX-iU~$itX{DC{lT&M=Hj|zbh?Z^@XJ4-CKPv5
zX2}eWl{Is4ZvF5fdQk4?Epfv`Vbi`Qkx*11GGyyCg{kYt-(F)3O;D)Vq>+78yIm7x
z_Dn{-`J5cTwsD93{5I{2a=zaykubCKEHvdsB`Ez|tNuxwCyh?j)o~Tv<OzKk4g|G?
z;Io(dqczj&f-fG79!-jxmznblzJx59CgYsBJK*6@Ld|(S>fd4t)#@5bhGy~Bu!}_r
zB82Kw%n1D3gilhMziw!(v>bJkXxlIK6!r>MrJPd)C}tyXNK1EfD%}Ct>g7(u<4ti7
z?1zRWmGuI^i=?}iERy63N_UKo8Ulyrzo6G(VpRh|Q0B!x#HSaE@qHNTKGM^Gq;<!}
zrvVDW*;!e6MOEGzDoS`<TwM5!s%=@Kp$Y6J5i{Pok@HDu1Ir070s_wseAIxP5qs`f
zN)|~`e=RXJp+no*(fbEFepi^DSO1DLDrCRz>X6^<NJ{xtl@@F3H=Ry|#>EvEzs=+0
zb!1xhi4(P9W5GUtrAcq?Gg?x)#w0r-CaX&H7;`;K3AX8Oxeh6qtfT>Y@<7C?a?hNy
z;+76cZ9-O00mgLvLK=UJ1mq(l?K;Qr(~0)deQh6%<$ODFrC8<c59Z^KX!s;6X(*i4
zF}ZwS%-cS2Tg9~LMw;$Q<H2``9;uzFAy;zFEUK?<joe`!zL1X(m86K6NHi5yzq-n&
zXmU<kER?HplS1wkoz-32pW_nIs(y<LNugbDWap9Z6FZkyv&)BTs<~J>3-OJMuM5Xl
zD|0txOn{F_dx56)!pX}vHFk7ENy@QPhm2{eZ9Kdwj>%5}XnNq1fO?(|`3D3vaMNez
zUKxW^KY=5T0T}}u#U1m)=?43O&5Z__<5X~U@}S(T?w8hj=zwwtFwOk|Omi`nx8Ru>
zuzTIW>pJ*%A?_x1&H=4l8<I5$KYO_v=*;`_iSnxhqo3iiihPyLt5mHduB?%0YHeFQ
z8d2228aTPYMehrGV%O~-ifqx$H7XC4jW0b&khRr5zFGNWgtrIsptT!7g10nJ3|vHo
z#-8OkWLb0ZN-^n?mJc4dAd7~-S>Lf-5@;J58rpO~T=9JUn%F<Rl`L<nguQwPIX1`0
z=lihX>aEt6b09`Lwtk3*i-kpqhqa$ob-+ynQs|HDYOB{GQxfXOjh+~w6zT<vUU1y%
zc&!(%u|@v(zOciTlbsGONP9t&$GJV4C=(VG<d1e+(#&hk4<ZgduzmXSYOOw)>Tf@3
z>7SQO8?MO;-cQ7uOZOqY&y=$2y7kXwC%P)nut2#=>07z8+um?Bg-Vn%nO`=g1hA1V
zp1utQY1f6n$JcMMXAKl^o?*JjLgGlq;QJCmNx05Gm+MDkAE)`|%jz6^!C~)|P>R<M
za{qktIaJC3hRhkCnuN&0Z;Kz_eHYP6sy<>&gg+^rb!gl3Q!}J-Pqa8c1=or1y4q5$
zF#oic>LJ|RfNlWwVQsmP@`cHKogF36%z&{R!==9dF*>d!GRX72qz?mrdk~vP8~<fq
z9Nitmh}-{qm?WresPkOMCuvjNN~I*f|LvP)OT0wO88$Suk$me?ayOOfO5t^P)#;xv
z9V*i%1rxK@LVtv|1W(Ss+c(d3Yn)+kZZP44SS^{lXeL`X#UyanjFMdSgc2}L5wd~+
z!qw+t^2vvUFf=b%t5wYg&A@lB`686maS3&-O5v0eux@RdjsprmVY$}<QRZsLv;VXq
zVFh0T`~&8lh74|ndb9Jt>)08D4^5}GY?-P!egHQYc*oW=&<kW_4|t_(g%AdGzDf}b
z@^;ZAcqTq={{&WtQY2zuKnBY5Hf6=jPl+N=Wj7D!n}tRMeD?zU_7`<5=(p~RYT}Wr
z%zK$q?v?g!o*J<w9-W-*R*?vEFTg!F03-rwd@gYI{Y|mPExRsNTeGaE?Loff8_?nX
z4Oyyv_@d_p6Ul5PVh`p6{X^jBH>0BPIV1PoxB*FF`>U0;foYY+w%~vE4`tqXKwyU8
zD{^dF;C>LK;e8d|F#d87f0|Ew%|x`vZgH-)aI$<8lv3m*->P`tv%;e=vws=R^L92j
zXnJ46FnTFchIqTRzNI_XXvburikLVXu17(c{r`L?XS3*Pm`XEu@W$xuxMigx51{0@
z=G0Q$^v|N(LQU-sl67(ZA>d(5Fp=a0NH#QZJj-p+(}!yj8A)A`^vj8+${im{1bKWw
z`WtmWS@U`a`*|j1G{MYnCY5A`8M=FMd)s34luvpLg5UMfHVU+5m4S0JUA?86exPOa
zz*y>??7PyE01Xw-$uXm{YH~<sO%e$sL*|#InZKM#u`oxIW~AIgcEVW=g$XlcQP801
zKAxlNnC*IX>9E!$F#?1f0L=wW&X+O$6D##VM+D2s^FOEo*$XgL^tC|x%ljer%QorK
zAF`E2`L%j(d;cLI^kx+|CRpF0m$(SmHIl!zxUxEz-J}GCrw-LN*gLXqdp?mRTR<hw
zcpg0556`}=<igRwz0izMwre&1N?%_+Ssd*keqG<_09>l#?kY~2<jSjLP#TJFGf-=y
zMl%Wk2Q};N<eT=t!%cflxw6qzgT|u{&MmyZReaUt69|*Rd?ixG=7MM0-5uM@E%nr^
z^~-%|ejwIEJBy?kq)cP`G%d7^BI4o>+G4+``Zu3{+dHE;qr!=BNec@LT6Z<#X(bW(
zp)oGD0y>b3(IRQkGgNW<e|zQ(93P&!gd>S6UEiI+2;PuN#<oPsMUt)yHP&!znt7jh
z%)hue%gShpGZM!*nrlhLsC5F`UrjD5Fmk3Wn<d?()@s@H?|t_|Qf?ir`;|*>G&On%
z5bZhw>dy9?u`!K7Z^Xu0q>xzdcxHilu1*Mr_m5#0M5k&hWTZx3v`kz?CyuV0AT0t-
zGo$gA<IZO$bssQ<Z9fCR2=ptnL6>^G^wes<USRlAespng)SqKwJ}{pZMRU=I#pmYS
z<UsA5Bu$-5u<4BOZb1M%&)_`r_g1;qAYcLvJ?V`1v^6EW3@7ewrtF<1(a10P;j=$8
z*x6dNUW2Do{{CGkyv1|eU%6+Ey1ccAMmk>?m)!E`+sj!(ElB>0`F(4eYHKBGuag*q
z2H(yg#cNx7wXvW?-mQ<NB*HqNrA|#v4UAikf%KdW7+eC)!H6j_v-#UIZ@!R|I(J?A
zD8ZIj9NgN!KXcbQ<Kx-Ne5BVq@c#V<#@qVQwgH^igCRdZFRhT*NZ`9CvKsW1nLtSS
z`FZ6eZcZ*dSN$9y6R}<+MpT{)3-zn8jg-8KgRk~wMgB5ei~Z-H0*-H5Qk}c>WYoFV
zjZXJ!(4SZ`4N`UuBzuTQZ25T9%un`LzGY5EcbjFZ<=WiJs7+A&VEKXha8@j_q&;E^
z<XE}RuV;a#H=xOKO4|k5C7fVDhqI)-kcn$HNg`xadn=my4Pv=v+pPQkiyNT61~Pr4
zfjGO{{aRc+JnCqNACs*)Kx54nfa%~wD}oFtU-4)vppJEPqV-bGZwbJ<G=(c;orwh8
zKY$$M6`qs!G7CBR_qw{4dc@p5hzC7Ncl$Lu2a<qMLjc^nNP7CCm=iUE?|yQkvO(Fw
z^NMQn+R5W$#QLj-M%?{2iStC|6#fY1xHslo2TWFU;~Zt6PFz*?qOo-HAB8yg>n_4G
zhwN#Z?f(HI{fA?H^(Qr)57vAos`oGBIUHnKo^G;yrDUW(0~nOCT#}OhUagBR#S14u
zG3mxHJw99-8W~{|&bf)4Brn|s6crU&2Ytb^G_kWSIPV|FIUSdr5u#tR){vnlN?}Fl
zoZTQJwi=efccL8z2ts#}KZuZMwu6I%^>^b&a>nM66mEV3_%#z3FMwC!?xr5V3szeF
zdVusaZTkj?V4RPSkKYOkw#dop9EMT7#m~Idjflu79qOkVoX?#!b@Pv8mK1I$E~c$6
zEWT?{k5GwY=b>qtJeC|i{stqW%R9Wm&pnMn)&p)q@lIY$N_DlE*|(yVtyMF?W){qm
zO8FHf{|#Wgv+h>DEw(EnXYK+P(<R_(MKCLca<RxTT^d9GzF2^%T0I4oGU$f3#>?#K
zd7wd5QhKv21bCwtzP1=aKf==bqrfR#SRrd$R+KQk$*8M+^6~u_31GWWl2K6(jtpW;
zo<kP{nkb+Y)4#jpvpm${<FvC=@Oj`jLyE~>yIM$)gmOD_gMN4Qq}%M}`<0)GuU%%Q
zkWWii53mgq!R&>wy3Y@s`y%-0WJ9;emtUvyDj8}J>HJ)eed{%+d{}U^_3NF#(x>Zq
zlY|r;Z9Zs`^o-(jso~!%ZGEQ#v*$FotJA~C0K3%kaAN@&f%ian`bj@)rb4nzy_z|d
zrxV%!ye+fI!8Y>0INzdQJ|_SZ*xH)isn$&cLQ7JtTRQu1ns*u)Eh~yOR}GS5u`q(s
zlZ~ydt=(UMiz43V2c5xrWzQiUnxW;yoyyUFgf*`>kK2;SOg|(8fuX%ar!J?W1&ia%
zVnI>No%Q}pZ+7!%wSOZ1{K-rMCalW~<AOqNX2tAEybLFC09fj1H~V~Z^;QZekwfXu
z>6E$2rR?0JiK%>JauRE2t=AyN1PDfifmQRAujWIw13RdA!XFwYxJ@DI!YLV+k&fHU
zDSUZy0t(I?P`9nrKY#z)0UDDXSW?R_)!Ec<#94=YwT-O~gjY^p)BFi~-i)lF1r%L>
zwcEpjG67bUsql&Oco8m?C9i^kgw(1!(oJ8Vf>JC@7t{inBt0CfXq{*9qaw~UYr-<5
zq5)G@mSSfunjNuJd|%#aAujg$<hmS8PUDjuc^a3_-E)H5%WF9REO;I=BbEx&p-mW^
zrLePO%U~-TN$hE+$D;9?Cm*6Gc5OauR8=sB(4-+$sQP)!p3OZcA?M>uj*i9wgb?_Q
zZ{eRZa7!wh3g=AlqkKk|cJHqdpiiW5B<JdkZ`eUXy6$P<{VixE>izT*Q#!lo*uJCb
zKVH=~Zr-{vT)^YPcD)aK(3m|jG11W2_yi#FRVlbQIAi9&y?|Q<+8eg6pYoSzAgYHL
zN%;yg2nL6FkZ%6mPj+>Ka3;??#~6Y3{qaarM2xFO_|EGgm0nE6J^y`+RFe6#ndgh?
zJ{(WbX$%^-%#7YBIjW^1;DnevJ7I05YA0uq{ZG_OH`RLW;6T>YloqH+y}tP3k_<EG
z%`JcCuU0=ZJ`T*z{Zd+_`wh$!3LMQXW`y>7A#B>}84}(Ww!*<%+c;3FMJ_v7tnhjC
zcHW=s24eGBKvsxH5Vz}>f7R9=o~yRd*d3FI_E)>xfBk7&AVGBJip*puVDhT29$_Yx
zAo<nLs#+a;?i%)cm&>VPxr(StgLy5@zP~!^$lJWTXCo5&=r{G`Z-eO$z?C*+Oy+ZE
zw+n+we)+NrUYFs`*-oE*X|dZo?%5>2cZq^j!BR2EC*8-L|8c{mZfaq{VaC$7IF0n|
z|4Uf?20Nkc!CXZg=nqfN&J2OOZy1?S%Z93#mjK*+v3gqD07PF*B<J1T7b<S}{s$AY
zFWiltl(<C48sSi5Ri;RjSX|eO8y<2=HvG>fd6nmLVa@|_OcK#uz(=SDNXbR*-&dWC
zFRlSGPIo^7U?fL=ltz+?0c*_=;sZDb=c$DlwJ2PI@d;~h69yYV=YqDCwm$qzf4nm>
zx3F-#KcA*!U~q6U74S`1U35_UR&HI(X9fmiUfN<vd=~{R&<5?~$=(0SVpRcz$DO=+
zR=QdkQpQpaah6m5suS3*uV?rb&^<fj7s|$K?=4UqL;pizfm`quOy}_*fHv!aP^tUu
zf=0iq%p{tsf5mGAvDeg4t!Z=XyFXag;I5FhlarKO0q~eABmM`%aBwoYXJl^}Nry#<
zBFXDiAP?l{)38c}EjEnpu7U>@`myq(@~V1I5w7jSxV=C0fdrCy_k}XI^i@Ix0g~gM
z3h&XB_fK`CG8aP!i7Z^6*v=-r<@Z`hsT}sXjZeM1?Ulh0Q2zX#8FMJP<IfKi*9Nox
z(xR1(SdFU<+W@V7ZoZoIxJ6+{TcC&)7rN02Glr?p_am&i?GH0N1^St=$8iSE+9m!K
z#T`TRhGoqPs$lFh2a%4fAb2cm<?B7bRC{#PiCGDBm?d?qFTwxx>?4u02^$?v#6UCh
zN%cV;{QNC1W{LmtHWL`1MP=iTD`@EfATOlg*E*L799E4>N(xafGy-<-6vD`XHL-A)
zAEDNzk9JNAYL^T5J<}5~Ije9bg*8>BLt7s*!H0dP6vq7JV~EPQE=v>+wr^wd8p8YG
z5Om%12gk)nCznD4xcm1*3WfFEVXh{RV62oFT2-Nym12Ok6rM}FTNV7O#8!f)mV)aW
z&SVKaTv5WAtoxgDgVnC!5)8?0y_O}n1R=(R;S_9yEB8>~#Zh209%*keM+;(}<w;zj
zM&1;`Lg-iVgus~-*=;v%?`tFY#D*Yj%A<>mgCosU*}z##8ZNHd<Sf`M@f+46ix0Ns
zwfhtv;wMshQ#*}>_?VD%F>fQL%a(H)sdpU_F>YGs<7(wUoC>Edv=P3$H%B4VcT1E0
z)^(Y$0D^K6Z~^ccPp-rLbHF{|1EijbEPBrxT@H-_cqN_4_S0^yXJu<^dc`SH;6jy4
zl(tU2cu~Tyz3=FXc4l?g)c<0SiK!!t7U0c*YDFa}rUQ*r-Ksi+ocm@&#LPy4qc#L^
zxG)Z!9WJHIXNy&Ph7<Ede+LkMl#Y9UgO{SMZCPOl9`6clXBZ45xE`-i!U#XQbRMGI
zj%&GE*OH*@&r<B_H#DS@>`);ZENe?NwG(G(%#4Dnw^&edRYemKs)ZtPeTbgAq1I>}
zi0-)|fn5ghl0c4P3e%GY&gY)r12FVsG*#Q&rzX2KF;1&p&*CUB-6;;Y8xJiK_vfm6
zgTg0tloq}Ju>7y?{yW&82ynO)5hh{q+1ynG{H`p3XabuHkWW432EA8j<BC$OI5;>G
zl9HKKRlgCCF~}ux*o_Bmwb}%ND#xR2e0)%U2x`AlnmpdP@M~(cj$e?3EN|OFs|a5y
zZ8YDO7^!*+6#)O|>U;9ilEqD1oQ<%Vq#+`npu(P9{TkZ6VaDZdJR%->&6TejCSz4$
z8KJw}3zC#lv{@8UiUPcjPoJQ)<WpVc%sCFtRuUvhsTF{tX?S^0;@b;#@DbBFt<<H!
zy!!oFPsZdZ6nW|JU=ujE3bu@09&aS-?O!l2`p@uQ3SEe=m-l<#u5`sx{a;JZ;f@9W
zRyqSg5r4hy2g2TLWni<%Wd+D5FvtYM+I7hp7(ziX8+VF}i`#v3N;8}^rlCCF2AajT
z<hcZRv5B8zuJ^lRf?gbL94^gVUQ$dzkiYkqw)|qQAz6=A(tyvL5O^)qW?FM(tf<GU
z(uGv^U`vDS5K322LP<mQosXHI_x6%`eeSgoO=|_L|C58SHMZz#Lu?q8*huR3jvi_v
z2~U`N%nz<{t|&#FpMcy4IvCZ#Z9G8dzwzt#U)0YT)&Fe6X>jl-rfc<&5q+~(sSF(9
zI^4zb*Iu4a4XpPW{)~S{1`bZrz4+BnaPWj$p7M&{B^mVCV$MRa{jw;>7`j2o+M(9e
z)C8xzzzhi+9%IgA9sv5?ULJ0B1>*t|4o*0NYbZ26J{~oDpC=_Y(ozzlCv}s5Ia0h+
zzb#{IoyHr&HMN(~RMNg#v!2r)%e2GORHsk*gpd6M<>K6Ubg;bXd;p_y)!Eqc3B<d$
zWn)V~4bhS(t@A|OdSmKM_VxU9>&&FG2K2)a+$+i2C7N386}v;UO3!<JPz~-ie_5x$
zKd-Od!82lk3xr$n?!0?UqFq$hm6F_rML#w$!m*zrkIHELTK_hZw)83dDznU*G=C%L
z$=w-<=>jsWv4Z;@sGtFwUsmUg<KP8VUCt=4NX>m%mMx#`rrp{^)MvzNpn8Qx&&(-k
zPq!`ZJqzgacgasRW>SKRiXL14jiL_AQv4%jXt<c}NQQ8qJ)`aIyL90G8c|Lq&`CR5
zi{v|bipA{T*w44u@Jt=yr`nHiJ48E&xB%?GsY-u|8buBKy6fT5^7D7x@k)gxT80T~
z3bT5C!wCU<dx*cHaW#G$S!n2!ogGk1fjCR0Za}>y>B0x?D0KZ6>Ibb@Q8ag?;1N=B
z7xjGrG|b4%%=QGFgz5hm%aA&kGs12q2@z%(2t$LXlp@FxzvHo2H-19-9vD;OmGKV{
zm$M{TDd=8o{d7o()a2JE2aLj~uR>!9Ls7xTXFDF;o8D?(!Au`w4qgFKC6mL}MXmB`
z>cOQzY!rFoVTK)h4cj?F$0$Z;29&a({uzwpY4=Lc8_Lgah~<nX>{8BNYk-CKXkLvu
zqKxDh0RTOmrI?(Y)H1gK5zJt^P&zQgEpynC-Fi-YX1a91|EvuUA+U}cCzBFp&khV6
z%vSv14nDEDg}}WYc%p6t;7oX1SiAA`rFA-MK)xSN0x#{4R!yg;TyiAcxyhIE^0^i~
zhl`;!wnsk$gI?~sPR$JnS*>(Tyz=(h`9O0Pxd#8YA%DH5hK6&TTt8<1u5nc6-I|&A
zZ&-hsl(Z(eQ6jT)@&qvSpu^89QQ#8;F26v#nJ)|lb&dXv{rU^72o(GXSI##$zECgM
z^Dc93{)=qj(vIuiO?U=oshq5aGFKS(<G|U*Cb!c%K#C^vI?=DJkd&gZB}(tj*G2+{
z`n3OD`mfZ~@PYz>_eKmbw>EjCeP33XHJbVtjho%YdzQABd`5ZaHil+=E@kAkgRK%c
zZi2_DjJ-wzToS>2&}Swxb`bjF)qltNpPvIj1&7B-iNDrUAl-6q8u)p-aG}w#JB0^e
z%-?Q&Me@0Gq;}C}NrSzM%=lB2=JQw=9LcpWP|O4qpEwzh-g6+)5H>=`{?Wp3KkInc
z#GhyJp=`~Nw6th$Zo}z#2vnvtx}Lb#;wVD*UuTAIgyx6Z#aG|CK`uQLD>1v0POV27
zaLxcIoaAxX91nj7;OUOQG@sKUuBjco|1VGiyR1c?`hRf}^(S;F3yiHfN&er-;cgTe
z3QIx5mK01ZC8sez9X559-rJ34{?}|)0gM<BfV4$<evU3etd?Cu+N(dDI)%EV>hLkX
zkG63p&5>QQ^Tjw?TU@)VyL1h-dNX7!xX@JE>74Rr{s&b5!1a6p48yx2?8mUYECj<m
z@j@4-Uq-|{sRTl9D-H_UAK<(ZiK9ALx_Q(3Dz}mMkKkVws_iGEqoeSCFkHpgblgMK
z1pGJFx3*%Elcj)nL9#~{*Cnw<wK{O~>;(zo5FiJ;9(KIG`j?Vf6QU<x@=Mp3{Gh}$
zvg{kuzYaF|4dXjVecd1@rbPWoq*IebEd9daSa`EHjD|@UNrRz_mtA;!=o>PArW{d9
zSId@9uM`8<X#j~wv;_wnLbk~DTJCWEAv+su$VOv?f`a1G2Hd}X{l{^W^H%JWZ8Wh)
z;9K_LJG^0KC@F$%F=E9=>G=W@*7Otzsm%bAk>BUyB;h3sI(^Ba;8^Rzl{*4I+wGCJ
zoR%|f7yI-7*9^2bZ2rKNnH5+}+}+)2k~Az+K$aX)S`J9RP3`tE6w+ksuz-F7d>SOs
zF?H#(DSp-Nd>Eu?DHI&;X|g<i2NebE1{-4&ncsajkGjS(+!1Pj;~l6CylNc<mT3Nh
zo25D>-SeF!-xc_94S);4YWm|=m8$lwTjThgy|d+QMX2i4q1=<Nd&IF;U}h0^cKyN^
zU?GIGfb{yO+<Jc0>8Qq_X7d4)>{M($_-Ogl)Z4jIGBVUa@eR}%5OBi@Omv>++8rPL
zAReMy=`j&9<0*+X%K1ah=J5HY*&}4ptyf&>ug_IIdyI$#W$d>x2@#RQW=We6JVfDF
zmNPE<HwaoTPE0deL<;Cxz9ABa%}CGw1p1$exu*{f-rq+(!xnidY5mVlkT1D@E6oEq
zMGU4M@*KJWT)J*nV{PBEH}$N8d|>@|99FE?&rZqXJ5oGZd%f{J0bFQ`OjIWSq792;
z%I!<P5-cRNbyHNk59eRiLq3w%AyP@2+XmfkNS7D?6?_$Ih9YIIsq9jn=U4Iq@9lxU
zM*EQJHb-1<quigbDm`IZkN*#0Zy8l}_eBfysC0|8fOK~^2-4Es-QA6}bjOiYx}_VG
z?(UTC?tVA_amPEx{d7OTAikV)etWN&YtFey%PwbVY2fh0(>Qhm4(97G6&!0}M!F~}
zpR_-iF&0qKOEMFFoQ{Dux=)Bt7!5puo#rZF#hD{=40|F@DPC-Ht<=99I*xR__%qs*
zNjzeU<m9l^O`JnDc_2aEw`1)|)4Xmthv_GIXkrQT%dv`za~IcqBd;bA<*TwUjmS|`
z&ga1YGA10~1>p5n$*8Jgb$53+G)JUka^`R!WFz8<=LurFjA`Li2KYMZo@V{^Sq_O)
zQSF+_(2J{}Rnb%o6~no76&p!<)6%+p>QuMmANRzBgJf)iiH?!cGqO2ojT-jrca6bA
z-U5lz{q6aBDf1>~lH;hBRbfnu>>%~O9rnMEz+h=nU(k)>@<dk8j#B%m?CkWYBg5Ap
zydYr*TnCH!^hhb=hkpAJfY<l9O*u%=_x~-c&X{1~VH0N|#W6jJsOZ)wL5QZI7yktH
ziHj@smH)Ne?53ow49u{0oz*B~9UUFrfz%h^yMP~tWMpInJ&o{=Q;a^0XIJWza5MAn
zJhr8;IE!i#(~LROxH;3bIg>&OZS*uvB%5WV3SQ*2WhA?0B=~g-e7B5Lw&dZ(Qy=r8
zy3XGw!`fnUx|vPH>*{KmfD2q1akoB`V#8BfTC#4i`TXhW!E0=|Gx}$zHx7l%&dYJ8
zkb?&InVKUPZbDaG^;!^leZ>>`+g9znlcl0W^TEc4Blbi~{Fl&eW8*iJq!`69Wy4<~
ze1Brl{WEWy<|iksX?<EUH27TLwmkVQz65Lc$r#;isn_+2DVAdRZQ>2wrMu@hU-qud
z1;~`aRVW4=QSaP|$3QNB<1rvLWvl#lJ<<gBiJ~4J9%VjF&U>G=wLf}Y9~uD5Gnp)b
zR%pyR+5G5}{;4y5tD3SouW-3KLfcdIMLjPZZ2Xdg1=yBzTuq%XyQixO1;`#xgJOlY
ztIEL*_1M*Os<CA7h*8u=1aFuWi<njM4amUvqHzgKQ<WS=BeJ6LLN=TtW%Jx{r~UmM
znyKROEW9LyTIKQbWMxk8LNZJm$zpE?m5-z<0x9x8KgZ|pbHEqfH;`o21}PV{lC-*P
zjrOyzswv5rPO^CHV3WWq(F%j3CuL~JQKCv{I6WW&g@bRk%P$yv#^1WPH-o81>GejN
zz{C6y%GvWR?p<&YMSdkCU9!&3FKU~do{8S^WILi}j8<XO<7Q#wSp~t`pPN|8Rck_U
z_$Wcj^;hS+1G)abm&Zqu1xd(Ct=^FBqh9fi0(s?fat_W=4C*lJurM+*)-uVf8gUde
zF{VxzC@XQk;hvxkYdK`%N-k*&4T5lQ9p<eNMeSklq+}8_G(y4=AQS>?^>!d;nFg;i
zVbH*qmL9w?yjEJ^z+Utc`8k^h>SBr^pU%~%QMKgP%#|5`S;c+dz5mwCvPK2s^ey&Q
zdE2)xlQ;Cz*ix@utX<YitgM`-nnHC<E8N51Cl*SO7JKDHutLG;(Wm*l_T9@l`wp=G
zXe4R>MmN~kH$951(pwcN%puQ!KQ_pNRQ2<mI41>p*95n<w8Go>NrV!gs((706=w|h
za`%#D3x=O3(BH9@Fhf|(Y%FJ5jc?$}bKojuU<cEu28IBfK@%Q+9scP@w=wIP-b}3R
z7EEF!PgvoSX@~m<G+C!<bx)6Zr^O(l`|G2Sv}Sq?PZu*oJH2P0RpapR0STEt60Td8
zX1CCIw5%^ZP)g9N!pn0Sspyx7PlaS*Uk3e%1zJtwm$e(xdx8fo<TZGvho(~DpPE>U
zQz-vCj(#`CGq(7XHsS&0vmKK?dByj>E}7_{p2{|^NN=0vD??rcj{FSw*4||hNw7CY
z=#B;ayO$~D%V!gG)g{b5VIGV&=J0TX!}NNGE5_a%TPWEx9p%>``F{fiV9vDVtC;6i
zQEFeSJiUqwnk^_`{9{G!QI`2T*V!>5%~a4r)qr^i!!pa9fo|GSfH(^Mnegkm=TTfS
z-7$%Q#^CQcyH6EScp{Cua%1yOK_;d;W{QKCJOeJC1D7y0JOn15Pt#dRql+aTM<!M%
zLcWc2PAfmqU|Qc|;HOC*)<2ZQ3=c)(vi4;C>}=lHS;W*6r1X5(z~r_9=gh-z;SroJ
zCt-5ZEq#a>C0t^~?^iw)8FlxRg~-G{aXR6q1sA3=(t?>{3Ht2B;oi?Bi{9xr5WcY(
ze_va7ms$g5Mme#Y>vc>IK5`xc_`Ak*sjsGsc~sH)WJ|`E*AcA{T(51u$i_-$X}1&N
z-6ap0CLY%A*%aY&2IuPIj@)Abnd_qwKMJ{A(F*cLuC&;6_v?aCN0tZ0Wk!-hPKV$f
zhyBf{oG{oula!=n(%nCY%gxx5@$Pq9DF=rKhli062rfK4!NrL=X0cVu7<3teip%%r
zj?X+$a+ml+(jsDUT8aZ*n6&-$m>@BvTGEv2H>NUKs=x&@6y`Um57yc2%-0=xyJ*D_
zjzr=U31zh%b2YmdSn3JpUtNeNo19Aze3xwQI4gYjjD$kTtp!muronu?UJq3N0XhB4
z_%QFpA%;%CNlHN;kvgn)bB<@F9J#mAc{;9p>2MgHQj7dtcg;6f%?P7GQIebby;KH;
zLf6#E`Q2W36sn{(BG(T{_0Ds!GY89dR7Ufh{WA$vL4qPzhO<i*7_u1rvUBV4@*3}5
zMnQG*YSQ9yaI61`V+?6ICox21<#O42&#NRNLDR3gPhac7ut}ib@MP_&8AHzRlLS&R
zL26>+2OhWM$dVGP)_b@8sW8y&o2pJXHO^$dJg<9~^16|*7ktx`)7IZ=o5aC`WLtX*
z`W@p<U}UWPfy@~TJRhKqTNolLipWc=5FeMB#pUpy4}CM>6Ex?V?<QZmenS0Vx#$<L
z*`xo9<&6+6l4r?h9Ou7Z;Zfy?`5udft7_OxmKvZ!kgj?PywvVJ8kqhJCXp+JDCw4y
z($mMBjv1p6hOc*>nNQra`>8)Njt+J9F9b|C%U(>jISoI1e)U&1)1QS<xn_hF+d5U&
z8V`K(3%RuK?VXQ~D__Rh+Wu?R*^@oJC)q!+^I4n5YqZ<`){qY7t?`ZRgP*+45dECT
z>gS=zNOzA#S&rb4nT2}wf{mEp_RnyL6}C>*RfZw$M4ioz8&+oG?F^Ynzt7ekR>LsE
z9uN>3Q!_`}q#dkdT7EQ)=BM;E`LU{YrJj9HA=KI+{zH?u1;@igK|zt2oDBTpGvMQ-
zq@?<Whr1URnoPQC9Z3u)Zrx85jE#GsJufa3*SItx7g?*<?CzycKP$B*BuLroq13c!
zu~s=!r=^cKR$~0fsGE)CzO%hkfNj0=Xk4WtBw|Y)`b9!fuKp#CX{Xk(v|L+ww*KiP
z;RxPf3>uk4usu=m8E!j9usoUMU~)F2(#UJ9q#j>ZcBVnL&R`;O1q3Qv1!@Hg$j7Mf
zJEQ;XSuP@eD35YRm~9+bj?Q4Ld0%UFR!`JX#8;ndR6dc>)@8k;A$c1D>(0_v!P(lH
z?oe6V(OHRD9io!xF-S{8&LS8=3Tjt$0$Fe0@+!M*^oCTeDyxytGVFNIXR{m}q2g@r
zkzFl(&u;5vFT4&_O*VyTv<W^wxV!t2&9&@G-p#DjqbV=48KMpz+-Ka4LCLy?b_-ud
zHoMrjv@F$fQ?}O_q*mZR^mKLxB4RV35fDUGoD5@N+b%a@f}PA@g)d@}Ri5&XKZSG7
z(PG_i?dfRzCmab-qxVPao8=tyvJGxFZl34#p7^*JAUSbo*1i`1A@-pBTTQ#>fLvZj
zOVO*2r6tUUL>V|_`R8I{v79|5*>LPRNE;Lv_w6W9NR`ym1PNm=u@LXPhvRm0Y0rxK
zYSy!g)%TBB*Zr28rEf8cSm2nC(}zqmBQv*@Z$wwtKwRQOZw`LD+-b%G1?$piU;;XP
zOQofkQcIF*@L#A<#vX^;b(OakRu(;p{=P_vr+;RLGlgXtkQ`jMg8!0^?O)|$VWGvx
z^&Af}AGUm)EVh$brYoEGJ$WO;hNnAsj;%%VYrm~9^P`;1y1Sv`m4lg)QU1NFS!oKT
zzYf8kt(o+<1%Iz5<WA6CSVlA`r;Zer;<)Ap#cKXoG}c^TQ57?FR>Z$hjJe89(WPkH
zee<(1w13L=@ToN**#w~8>4JWla)M8ZjP0eZ)@q<)XKcNEA5Z48i*#(y9`UeBI`0-F
zT4{eM^r&;l{n5b+V_OX&oXd+F0;LwJg;$W{P>a&UwEK0qDsDq#teQyj?oQ^}mt2z>
zUXfBP3HXZRT&e~$?FLX#@-~0h^W*NXXiq0I`exBBW$%VcakVF#WjoTapt-g@o!lIH
z4O%2)><<`_AN@bS4_YImP!<#(lM%{&1#5Nu`M=8!Z=T6<*8OR=Brx8>zSvl)23<a#
zJo>u8Tz}HuN*j`+V_sSkJFCxQ>U1lKoREKA<lNH7XmZL^ahZ4M8f7`#ttl$lbt}9?
zMzta2yd2fEzdSHnFfD2yJ(&~r7<G}ePWb2kkQE3ZRbBKfF2()Fp^H>?wJo{YpNQ`a
z&L(<h%FtRQ+;v{4g5|C{vEwST#|I};r2%Bm%PJJNYC`9OkA3E$+&ISk&|CAlDLoEF
zr*uC(LaApW(A0!4P9HBuFQ(P>&Hzxd@$cUsM8+2R4R1+F`1Yr3d@yX|0mO#6`S~+o
zKS`TgmvqJ%y26H;P(e^pByRmusPbz_)9Ey89HUV%n-l)d1ANGsJO(2N!Ie#hsGblw
z2RjvKFct<~Jm}ziU!GQ9sOj@`Hth2|ti?0JKhf-3-d5%0U}8|bW6{s1B+R@<x;g5B
z6GYX`WDlugA?WX)PnVH4S)7*`(JhC>J+&FMdN_CJvp6C`9%SVs+OlRshCSGsca-iD
zr}jCdS&b+zZ%mBk7(E+!#|B5@+M;Fo#{J-UTK#D~f`cfHK>+?Jm=dfs*5Os{-85IV
zbqvd_TH<kjGkh4WK=E*Ymq0V(^k0MgGRLnp-UOfK$<;;@Hs8-`_!K->rVu)%Qby8B
zst70Uv%|0LeU0gZ;k&lBpl=Eg;|ugM<Gs!oJ?}b0p5D24aWJW}LWP-Y+Ay${c8d_c
z)kHB3pUg2w=0O;kl%x)$DE{|B;f`{Aypn?b-Ed$|4ymxP@RHBX@~drG3xEc2XxhDD
zVPM|l<435LfOTauGBWDG96LEV8KFcK3zKtXT_CT52)wV;%}6a@WUs-I%PV_RX?yqO
z4CrZX`f3U!W2Ljd4gE_;vk7yDAM>Ao7cYaQ^C*#d;h4^4bV#07zdG?Q17T6mXSD3#
zL3h8m=ka*Eq2T*iNmAV?mSeapPb3y~og@B@_4wG;-HX@p<$D`uZ6{(lyxc%`c5Wo@
z+ed0DhK=(2+3)yE$bF16RePsjI0)L*m$CjG_jUQVAsrq|arS~0i5tTWZ2~RCa@p!?
zvfjEVl!{=gsz_Ea`J+NKqdkh=Z|Uh1o@93pzMq+&_QAr751D{J>6uz*{cuzi1PH`&
z<m5aX=huwJG5u(<x80F?KjHU{V>uLk%1F>)K9oQvZmqGYAko5yoK5!a>>4gXh!`{0
zk78}uN3w<`*R4mU%ii|TU>be&!9CfOw!_D6f-D+Yt$#jY*oZZOu!z8OFMN0(-T^-<
zDD~Ol2p$SLAPvyBkWdKu`jq7OyZ0swN)|giD}HqPKHb0G5LWZCPvm5ER8@2rv&U#F
z4~9F)qiSLb8%Jw@3I~2{8oh08^paro<?~K14OriAlas+4NJt1_zFVc0=x=mjPcHI#
z!ddQ2=tNKH?_=zmo(cc50c#X%qDsUynR`;!np3PPj7@y}wZjY}pS8pbm4uZQ(r8)6
zw1eEGuG0vsqgVd>{oh(}qZrI}cAa5Rh@#g|*Ge8@hx56ZTiXRinwmF`%sW$|<N$Fz
z+2q*EjJ`Y1(51XBh&&e~Iab%l`qwy9TRW<VxaUM~CGB$a9J>BaU&qQ@raqYR57-#V
zN&SC=xH!bc?el7GDRO3GptQVv+pP#KCD+%=(zxEw-rq1|Th>~0`NbjcFshpQoS2%9
z8t<%t;-q78$zQl`1*z_0jk=v0ob(B4NBBYMZF$po50fI}b#XpA%R`46{Ew16MNxMw
zmati&nWYzafGt`+1?QTlD%v}A#UE8PkS<iBaI1dVJ3fU0tAv`)bH~(WOHpN=t*$3z
zs_`ZTaTMc+TPmH6qf<M(Ft5SszrR2U6MwNY>U4W*ps1)gc5vl<w2*{OD#m30PbiPP
zj!J{OHf6PRz;$(aI3#9!RES)%%WV5}b@&0E$Gco?RklYgG3kJcin_$5W%H2lW7)9B
z-ZitjGs{nK$`hEwyc;)C4arp(X{KGqzI=b6zqs1ekU2XiXJgG+RC_9{N#~H9CcLat
zO|LE_ohV1T2Uf(|CvC*U#KVQ6V;?@)$!(<^6+J3?SX-B_r9{aY85)Xu+CG#ct}G?)
zIa~AM{;f+;t0!=FI_#JNY53f&cd$R1*_JTU<z{mjeS?a2HqM(oE1|L9IwopeetipO
zSn;OH&3N(<R$lTw>Qhym5q#L!m;4`)LqyE^q3SqpX*l^aPEqK{^Gkh0H==u9-VIZm
zZZb+O3f>#xWD|s1O@^IK`%1Qu<s$6H*x7puihGx{e-Xkl*~w(j9+ntd@p$zUPe#f~
z!UOMImFvBJEV4|q$Nsz~yj5S=u${q(8EM5i;KI%jmJ_r154uUh5Fr45m{+t&`0<9m
zFk_|FYqHtRF3*H2M6)cvv@}xhg-^w7H3POoz3%4E*N012xAl6ZpC1xuY{y0^bI(p+
ze9N)~l7fn(9o-2a#XP$_0DzM&O=U}4Y-!<6i62-NELYQ%P3sm_F@XMpbu;s&nPs;`
zwX9gzpbXVzTB$5*ecce{BiA1wf`UUq0q71Z8JV*8o-SZ?0-{NYQ{?5P^NQb#&+EFr
z&!699@VJmLF~ve7Vx9Jp#;|E>d5M7*{#5^+Qo;4#{+akGI%ccY#IAy!(<{B+yZed_
zp>Bc3xK=*g+1XItOdW^X`i{Z=kcYRP;L18mNq-+`>sZTm_l-fIY&`9GA$%gpn74oM
z0sNLgeBUi&#R=qxS{0-}{tbg4zc*_yn_3ulIQt3qxO<@e`zM473+q|b<k;RTfmG#x
zSVdxppv3KwM`GojUnj);gwcGxuIF<s!Z<i2*bt(m@m0_tO)a%s4ITE5W?kQ9@spMt
zMdM|5dl@g`wvPQi8;;;0v5b@N$Ba^PwKQQz$=CG4rRQGS&kq02#o?&+Ihyx4+iWxw
z>UB_H&i2D|^+51`m-PAM<v9lIO^t;>JO*z(Yc+@Wr%U>WXoQT6Jv#-i*!%Em5d_V6
zb#>ayjz_NagY-DtbiFB|x=lz1j>ME_g|T5;$4em&oH@&UTuG^2Pl8XS;6_A=C2CkD
z)zAhW@9y?x3kTi;Tbcbskk(GlEBu~H6e^s~Hzk2&ai-AfKVV|i30!LX2L|5!Sz1aD
z2zUeL+(Tdh4mxPPxfTyr(8xsjMqLk-XJA7(${5{{5I6m_x>ByUMa`Ig3vRxD5Gki{
zV8xvYTWr43PfUaL<+uhltWjzNFCz+WuxbTqWA?Y|J?g{o2m`f8@_TNs>gQ{({~+9c
zk6n$qY+Ebxi1B)=J@>H}rKsF`%fMsrhoo#Pj{ZTgxEXB7oU2)32BX}=*Sw`{$}+Z;
zu@*8ElOQK1(v~luH+DRt*DY456L)L*oDXR~S83Y*`lqb=Ija8~blc8Z?Z?Q9?oa8w
zF1-tL=)4$e_pXgm{WBhq_y<^%6lg-jUQdAZRr&ij)F*Ck2-uijI&x6aI_r1(7dAC5
zO-WPJ6FiSH)j^{e{+=-lyV->T%Pc1yL@bc=4eY$9vuE3JcNhvBS1B?3wU9}~hmeaN
z3($#=qc#gPZkVUKqjJv9hF%&sl+P>}B59GER2g4$z7FoC|65q#psHPwmJt^>PT#7U
z!l1Le+U|F?0la4^>C0>{;!;w20UFacFwn8Ongwi`SU?~Ju2ZW%Hw2@CFMPai$E6Ik
zq=o%=v7(orZ#&=e2MMcvt1=>g^rlPAf-kqlKinA!dS2c;I0}krWv}*m+c3%a`#$35
zivGX0D||S~Bb@CP4q2jEryov#xU)fhRa#Gp;p4q~a2QmQgsGHn4cT9+|0SvmNp490
zC`(RJNzW25`jG$i_w^_tYeTOO4)=ng>ES(*#)8%;t37RL^geRpn@}1eeJkr8<yoQo
zG;SK|uh~q<^KCHtmX_hQwe0@>{;ytOATiXAS1fOzT+tuKMGVvgk>|}WSH4xMh1Cga
z;7tEoeO%BUfe353;cmQPCpBn+t&DrAXfURQc{GrXio^7+{rNru81<y5r`s;f4h$f;
zx!s7hjsVx~zLAmg@oV6MK6S7F%wuC~YS?&O_Pb`vw9YOs-~E}JOC^_121Z_^Ru!#1
z^{c*vPNV#x6%}?lY;|TVEazv=RSKFR+3^W+@ad5)P46vD0PRQEcL)zlBE~lQV_3||
z>Gq=-&bQW-^*OISOA0S5B_-3_2j*fHHi5Bme*sw?4L0{rp7TPk8pPw!Md=OiJ4dF_
zs%oMZOP+k&JtAF@J{56A?D4k$tVs%~GqH%!!1fBC?#`2vMyHaPzOKCoD1nP#lvrl~
zG~%m=;P&=5vgdN0cLnz1rY2+0K0@G1ch?6_MA}GY8ZaDSqd^v<!L&>Y63gq5$Sc1s
zQq74|Hdh9JXSXaOq0`7w1(>*eN%4pZ-&8z8EtyJ<v|6u{nm`3t#b<I!b7jmY<yq~V
zWEw{}<=P^$BA$wGO;tMNz{<2x`8`eXy`GQ6`@-1R;^?1MPy0>{bwty>n52471m*W%
z%bR@FoRQ=n+ZwxHmKSKJiH|$7>uDB}g#CasrAC82v8$`A%eBvbQGq-7!n@+xABcY!
zWdJy}ufDYf_aQ#?prvGcxf}JPqNCdcF!UynX<A-d)v7V*N*H!@30cz*_YJ7IPRrTz
zdvxbnbD?#Fyd_S*eZ*~24GBirr>L(<blLf=?sjbXUfR#gEC1nvrK5tDa2o}w`og54
zm1y)%PQ+>~PBnh8yG0ZwKh%ke^yBi^<RRrkb>>UvH)YFQSs0_gFjnO)8_oz-{j+PC
z{GPo5i5y5IHa9o*O-*}%w~oDo14z}NnBfA>CSXuCH#f%wYEnlhCwLST3To;wOj=a{
zK@0;HDZcZI?cmKljh}6ynJl63pu@?j08}Z&BgPQVw&qH>Z5u+T$DeG1+xROf{6&Xf
z&q20Fe!AeiKsY&WEBxAV{u`ZIjS7EpdC?tHc7=C2=M-N-3i73!bB|~a`gTiLk*+Z3
z_jL5KFjtc?aPMVyMlzC;6=>t);->pI^JOzYjsS-x5|2IHX0fgk5GV}B?EV}tV?(%#
zDBX}w`ooW0QUcyniA$*pEL%5G(dT@{h=WLqno<y{i2CFx6yY4GVB)P}Vh=Jj@Gdeh
z=lPkKd*fElbEh*#nY!(JkRZ_PFIY(r&$FDtYY&yq$9)`OrS$zTh#R}cSG7#D8|-KA
zA09S&H7q;rK%6ZL!N$a_^u9aa_u4*be?d{k*#hfh6G4|#WxLD+6r*E@o?4x)Z8VXZ
za~Ct+i#M`eJxh`CRgTYmSW=RWD6K2sbnS%93h$|nn6#a=ub7niXLBZ1GE!(4X%{cS
zJirr-ShjfHf^mQ+m?oB=&t>P7<-^>bO~anL)~RTUHRo7D>ny7JF)vWt%w(f}<cb9*
zS>HiFK}DapqTS+NdGDdZF^4~1Z6;S|vnZynt}fkY>69*j8TwaW-&jr##2W6u<C06v
zzbIv~uyV1eQi@vme}XY6fm7Hrvs%K<{0|88@@R~L?((j|iBLs(^rZ?n^QsjaxchB&
z?`St<B_v9tx&Jm}yVBgEybB2VpE4O(xt{^TY-oy}?_G!w09=RC?ApRAE14@=ukl`0
zJ-~P7)y*|GH}`bGs-hBfI#|rRWqZ1MtHm4v+dEr}z4pD?LWUFN_9t3aNy(Gj@<n9K
zYg0&I&b59bN-LUI^R4IAmHYN=<JF}zEHYAAQ??Zl^NM_r*Vh%T+KZj;?(RNdt+>Zn
zXlUSqpV<is!XlSQS~3n+20qCr+fb5%k!7<NG!4K85>&K@epH)jw4Aw#`99J668UsI
zlIs1Yxc;=}A?ZAmnjNqFQL3G6s4;uE(y$vrnFbTMq83%30E2M(B4ux2ZZvJ9BDp=1
z!8@z{-fArI#?yT1N!MD~PKS@xh096&nv|M0ra2kWX$5C0o~+KA?JZu>nU=@9VevHf
zT`)GK6B84A1j+Dne>&ndY(pSLHKl2a_QMFjAP|kRr*eKZ`N86i=99LFq$HKA&f(#*
zy`Z}PNIt*cv$hniPi%TXNZfFCe(xFRuRusBCB0|=k-vEBD5{`wqgik7WnQhXDsm)S
zO*2_&Odsfsepgi$tHpCVIXThM)59aTYF_>M`}aRuT3T@3(-gK;ew^!~Mm4XhC25G@
z;B|Yr9|~bb5y^<z65q7c;?=@YSbd;Lk}A#Sd<!7(fSE7gJpk@EGdeo@5+K3sUU|NX
zD8MF)SJNkIdYczqKRur-mGkrSVj>`Jk&?DlxITs#i6^7@dR$iXL72e!1J=Z{>><8V
zykbUlz`3HQtAi>S_>bu$!Mp_?lpsh=&2v&xh61Smz|tNN?>M<4ysXw#k8gfW)m07Q
zu7vL7$B-3d2h9(v{+tf;X^Z-j7cWZX3gnPsVKFlj;PpWf5)wXMPRf1cb&ZT86<3s(
z{{!57{j;)&tY+)l&`2Vzsx+{%XES{s7o4zajsI{kGyk2KsOrffbvRUKg9#iuU0Vi&
z#==0SB8yafd?Q=y($_h^voD2fzRhGd91jPO42Xgi?*LEXd1wP>2{=eFZ{AkemVhGj
zS3?61ENtj@qQ+OHm4lxSH(v1Q8|7@Qu-E@;=QsKosW(RIRTYadO-gN{lgN-fow5~*
z(Dul*h-?<J)tKE+^<TRU5L}{xJs$V~`7XyqkU(kR^KeZ~Ux8<~Q&OS^TrO*`OL)vI
zEapwk9@Fpx|8uNDJiE4lFlq<%IGxI~#gjR-8-1Hl<Y9yDc&{M&Uc_a6Rd}pUy~Ujw
zzzV=+?`+N}2Azn=PbVuV=p7-T@(VnkijYaJgMXC?)B_Cx)cw`LEXivy(=A4Fzzz|^
zrMNy{13<5mw(5w^plX61os{}A4LBL1L2Pd=D+5+&EI_Fqu2F4@j)ym(rsoqJ82A>n
z117+mb10oV;rn;EyshcJZBLuz*>)uthEGD?ac#H;Yt+ui)&Y%0>JXdZLvH*)y1~ff
zqgPhNaQ>LQv4&|#d)9>Fy8xI<AV@lHz0n13oewANy@P{@U?&9--TVcnpCvKv568UV
zKd+XhYaPMUvvx}j=(MyYn$nr<>>$iAK6(tYc2wXK32?o&X^i$-(G_tOK2rD)aGw)T
zV^xXx;{$1u=3|C=FlZ=HFj=i*1fRK>nVDPew$q%!(CD=)1AXTOAPZ3y508$by1BVQ
zfgK6HodSSI^pQtd;nW?hLZQzuqj%KT<BBI^wvj;1%Y(BG7}5V!|NEUEC;Cw~nMH7L
z;@%~avy00APJ2K=!0o8tb6{{VbQK*25z#219CLYIQl&8Ji6xuR(b3)Bw7-0nmmhPP
z-QL_}vRi4v8ehOWzM7U?e@8FnCui2?y@>)6#&%0}bj`;&^ztG!;^W~!F-33*R3(~O
zcU7E^mmu{ko)N&DHeW6)8Z0sb>&{g)u>h0-`?~C6{d{Y1Hsb{tx&YpjXqhT2pi^S0
z&em}`Q@z(n#$D{yvY-y&`7SZ^XQ4%DOPA7Lk!*8&-Eg|{Tm^0cmL@4&P1hqBRI3~|
z3tg{f*{^*BSTQm1`ZH*~Ky+RMpzoJ5RRP+{i5pK$lCIV~c>7AT?u{G$SQElqYkqi0
zBZv=b67gi8m(u<N)SeZZaVq+3YG7pXiH+^DN!%$>6`Xb9igwMaLK-7$2M1<gtX^cx
z37%?Y{UJy>l&gL({1z4#fO3(+ZZ*TC{|5>*5@1L8KOjnZ_YWNB?%CP;ewTVmXC4q;
zx(!Y0knK;s={n!=rA{q}mc=PZ4etF;myqe0T|tp^(ppETPE006V@s9I;Bf$I-B-nK
zP2WN7v{$P#H#SY1TRoC)w2u12<wr98@pHZJ5v__l>;WOfRSmNvF*nPdXgA^K5re1%
zYb6_$#iL(O&$iEq1J5dJe<~Mj$T%Vp5%S4so2VeUyj2~$k@1C@9hsS}y}5r{HOE))
zajEknTETaJa5-Al=KHfTm4Q~%I%$f05BjNc)^%XH&3>=_K;&2;n_+o~*sKCBs9UEf
z`|ApA@Fje8_F7xlTB=-CCM98N)ma;yZ}tPhDKqG;z-gkQr_XC?`B(_&_5fh^G#M)|
z3Ko(iVv$znadWE4Fr=cgq;}b$iwU2N)cqY=q^1CC6x5x+&pwc&mC!8%FEDsUtMOd8
zZ`H;5vE7>&L5`o95uur9*l*VEAi$wwA$jyZiOc})=UlBL4>jcGnux6S-+o>A+Vaxf
zeze9TI@U;UXpBBUCs;{CDz{gfAx)0#!J71zMF#yhb(FzpBA1nTHpuKdv*&$lMATI6
znuNUU;xe|v_#C?%Jy9a@<)~}%Wbj}yt>?|L&eQI62{vGPR2)~Zy@f#nM<o%6G2375
zWV^aVLHQvwn#r#LcB+C-iHQasL7Nff<9GdCCZc?l>y4Y7pHhS9Q=birl7A`E`(!kM
zia^APgB-K<?;j>uIXETFD50@7g>zj-$#q^)X?-(;o*qAe@0D>OJ8Cce{eAE9$ZNI8
zB#Wc<(Y57#HE?$ntz=P#Pj5)M8MCnKb%%rF()Ir2!xCk;N3g<fFn|&ikL}DMuQWC`
zeW65&Epcq=gJTW(bnpH8MB3#sSB=JN#F=XKyej5cQxOCu@X}$0PY%Bc^560CI6$8O
z;+XS%^eN%_cE<D+-OQ0&-{oLoyREK#Q;glU!kS1FIZa{W6)ab&K{Pl#8L-a<)L`VH
zs6?+-Jh1%Le2|I{Du@47ys!_-Qt@<&=P7S>2&C#RFO-RuV?9b`k=yw^ej<K>okp_b
z6Uk>h&~yDNY%vXMf2=}yOQ*73gw}tfNePP0-rnAg?d?}qM~8VW&w02M{4PbLp4E=|
zoQbCwH}lkR(ngr%>un0k&1ab&#g>kuzT;t5qBqC)2EEg3`3!1>Gn1<S`bbJttMyH-
zhqhC&^ldGN{ANx}7A3c&@9Nxu_#+#;eH3{u1rb|ga>JJJa5iPNv!jxYd2PDV=zC*)
zcV$qxIcij{<ycp*Oug>X!FZPA{GUDAGjDeXRE0a-sF?<n4h&~zX3{*an5>O}I|@<j
z_CSvGZk<#oVazr7J!j^VpvwH=XC5~=4x+NcPX6jps)z!z#hhP&gspMhnh5wsQxO=H
zvZp|({cHBX12BB&fdMfT2M5RDN^6?S!OYp12&#d#b!0{c0hp;AE-zNLZ%Tq8RkcB>
z!r9Is;_gHv29XVSSC7a}Qt}kByySPxOBhEQY6zv@>X4vV)W1VkX|B^blBKdT_uZ5z
zbJ_$w)x)ET)fxZRqPRy|V|-Ks-QLBWy7iU$kZfkuHA~ZFeH%z#us2p+R*Kxq-*r;q
zj}j5vjei_kxb4LPdo5#X<}sc9v%@zQJ8`l8{VgreeEdQ7c}SDif*blZ<+x(FG$a|D
zIm>+U=qO(Xt+|v1_Z#61@9TN9zN#UB6sVCZF98Svn322%G9J`ZU=Gd%IIk<-7hi$n
zds6%&&F{+ncYlHu_;-&jW5`s3YKoN=yPYJ9-IWPTXz;A~)N~e4e(WgU{JdYPomJa<
zxbw;izb@WMBCeZF4-KEqy>B@GI9vC0w8TD2+x%1}*L^m<qxLZ4`h4Q^yi&hE<>p5~
zX?_5Kd1{8kivh_1Uq;Z3Qs9R`k{&}))y@Ptos5jTVV}P0k`Lt#^po?~_=bC*@)v>j
zoclXS>APs-t}2`L1ip3N$odf*tJu0u+!U^Khb!KPxJdPZOCBs|q7G@DFKr}%I$)F8
z>eb<Xd`BILdoWsY5F~6j+_kg)&%`JPT%{<Guhq0Zf2&P+tvNg$fG8ByMDu1@W#i8`
z@;6`s!Z|40S%G~2bpy?c@551Y;(YOK??ytL39i}>Lj#Xnk;C!*$@)3+V5QE(ovzpO
z{k2s^`~Bm|PH}m&LNlFOdhE-L90yK$UB8-|d`U&)ICtl?gJq;ojsQ%fm>}+*-40Df
zoC#8r&;7LvEPUJZ!R-~%kL-ECWm<b&wb|fGj_qr|IjXSbO-LMC>&14mJIQ>s=fP2V
zE3#BUUR@K*suA{1lb17W#iri?d?4xIHFNa4+u;81t*;x>2M6cfK5z~b!3keD&=I2x
zdU-W1F1*hm-?yjzVyw#}a>y?)%>Q=r-J2~5IXSRQI|vXERO*YAX{4kpMt?GSU0X*+
zMgj|VrBL?W7vC*c?TqH%C+1`?H_xV#7ozYJ`M_zEl9`=TK~pSL<UR2*a!>C}GCy-A
z`$CnplmsJP$MOPR;dkfp<<AhdN=Uv3TAC~LQ9x=clC?DtY4K#Ot?NmtL@sMDy}SWA
zL0aq2GXQnt6vezg4<2S#*3Q1ZLa{VZGl3Q_F)3-<oRfv6V`%6wq;`<^jhrA~^tgx*
zJgW3|#w;hi(+ZLV$w4g%kfrHjfmt;%w_sLgGz$B|Ay3+xxq+;rt^kxJ*=5wDk1G><
zL3<fK_K(8D1-4lsXBd7^xZ1>@EwFTqz%4-cMyryw;m!7ngL)_pEjcz?)=vL>d-H2~
z-5wf3JjkN-)I>}F<x?RBHa0fcuHHX7T48%}eGT((s_2Ku2LQA54Gtc}!t5VI-Zq$R
zLn%%;dTj5p1N^W4JEn+<Jh1_q3Ors{jG0L4*m7uIeUzCfryF28?1VNS=c;Rs5E-lq
zbt5!2_5}6uzMx{WmT30=IL7OPeS4yxuO$~U=V9+w-&TtMgyyMXYT`V6L>TAxOmu>h
z>Y`+`8k0Ks>$ns5Xt&c`oM>gAH!9RSq>AGl2T0xOpSKseNV;^!80IRU-pKKJ;3vS`
zSMFFx0_GGaF+FdVEsD<mF_k$7cyiR#v*WAtxS}qfglP-hPF8@C(|cUpet^6~;qbcB
zfgNJ6b7kw57F;DIB~XEl@?9W7wR*ag(m>~gy6!+id*k%f2Lg6f4bc#zhC}Ul2R?yY
zKD1E1185*aN3)^4UNG|7x+8Z}Y|o7@ypS(ngo1@<2U$!!3GTLPQ*^)540Kl}kXKw~
zMh3@GLvQ7M9BmmgGkB1s87VuSmDE8$a?Y#S&0knYD7UW{7i@B^5+#?^W*Ax*+;RK8
z-|<(=Z{r9G+<~Kjjt<4}h}z5R4`CIWygLkeOg<8*hr>gCbPTGRvZ3S*l(2%lT6rdL
z?_5{_A_l7Tx!(pNwZeLU!uXn50mb+4^facRpdd)D0F@PsC(HEQrw&%B|M*{<Y|GO+
z-N1k|o$f7vNa;emG2)Lmdm)ln?}j7Dh(9mc1-vWFJLsI|OmF`aa)E8xE*sC3JY^jz
zC@t&(+Wyau@esel<GyqOj&k!Wo|*2<7K`@q$Wvb1g#uF2&r8rpA#-y`hh;-a$;5?$
z1O=oZWAS>0`RqzL(h2+*rTO(+5|tT=`LawJM--5zOtd~s)8l4lX1;@lHZU*{c6H?d
ztV>c_T0}q|+{;Tz<#j6$2-iZP6sHyNGeZG=;Zy?XUul#z6`RH5X{uTgHL>91x}U(k
zz9u=(8ok&YBSvnL4GyZ*9CnKnPZRBh(&F@$h9hpx&6eyrD6C1tbk<1zKMk;(TV;DK
zspI1<x#yLm5dfZ0^dglsqqDK1gLHfJV{s4m`Z*~@32gIj`RUTX1j0Htd)aj`<Wd9T
zc_F5>v^3BZdFng>X(HJAg#;G#kux)chK`ov>yMxqx!%4n6Z1o<L;||s#B#Q$)i}_w
zQ;KSGQT&zH#-QmV0aLx3@Dl&LXJpx#g9GMM>u-Yu=Xf&oj4VkhN!<kVJC@Hug`Chf
zE7`EHut3mq^4sgiHat8W(5^F%EoUau(?9BZY+-`P4}{X44d>YEW6yJK>_J~5dYD{d
z+nILD(n}vnypN6&lgEFC^$q1}SD1Zo4Sfw!Vt^3e3A9j&$v@#%pWO&EcyTYrVYRq@
zq?Rr;-&Y2J>1{i?+U;4J7tZ=I%%5`+@!S2|Fu+L|srGyB)<cg2sQ6QiKtRd#75vnj
zWWR9L)!*+;++bi%pKGXRYyF(o$%sDkEoE2km)O*V!U`@qQ9^yur1uec`qh+$0G}bD
zIlgZ`3F8CC5U=iH0EE$eaNe5;ZfM}TKAi6a5H&==#}kp}Lk$^dh7uE#CTF##MC^`&
zdJ0(c>#<Gokh^&lU?iv&&k;|5{{|xiA$ujDfR!(qZfIzjD)9p=J9#q7m&GUN7k*r9
zG?7{_y6Rd`6ChN6D@UrG78cA%9P)ZVjn}ki&-L6p=1;|+Eme6L`{w(~a2*#*)?dQH
z?G9H01Z?)HbiKh2Jq|_r{4xPqMr&^gcb$a*CB+7>WzXZI<%GRwU-o;+_#olKBRiLx
zdH&tCwKY23melie$4rlHT-hvvsEp+(wax9(tQfjMu!WC^zEp8+LR)IM<7dQN=*q&p
zSKTkVl_4m<ygX;~k^Ef!Vvdd#(ML{F^Hz6vcP97Kf1Wo)%!coDb#;de3tfKO*>TbO
zapi&{AdG33KBg-wp=&E8$$^2rR?OT@MwMenQOSzWlh<YIbj#gQ3NJ<UOiJO*#b^Zq
zdvek$GD&mn_7UC1f_BQ1JLQMe0<x~in*rpgEORtAR8TrI>a~3YgEoL4-fkwyfnk`S
zWi1#L^u`dO{sC>jrs6N5{{m3EvQ>+4X8RRhv&`=U8MZ1qCoR}{+6B#dJdL>DcFA77
zG?L`zUTihx9^!?8&u8a0QqsGz-}!f?#&7v|pVBkz>+4LN8VYIeK^^^m{!EM5hNH{p
zWTh3PP@uchHq$dRGaDKjl8}%v|Ig$N`FtIF&>f-}i-V%v^;2AV%|~H+Kp5CeN}ebw
zNtIBDe@a<r>SM_v@KHynr(l9U3Y?fwWc$JKa3wYdvkQkIRE7fY9K{x2?Rl9ElGJf(
zs#yDDDU{#w!E%CQpudu2e~aHgGzGPCHqRCtMC`FVCCd1Vi@Uo==r(?jrg4pZyDw?)
z0E3G*cX;J5$dS8CjjUiF`qlnwkrL(k`40+_pV?RO5Dg&>Nc2kUve2Qq`Lw99Da+h2
zGUg{+<N<xCs=@Hn`u7;*0oTIdU_u}eE-o%A`Y&U$acGD@jq+cJSZQ_%d03I}@;rdI
z<Ij7xTIMk@q$MnAsPCW~G_=k@M6-7PCtzBpD{lC<^^2(jde%n)De!+5`?Pw_(U_0^
zIgQYENAo4$IEuzGhyu2AhVh(%Dq2cfI?kk#WNDWoF)=YVEiIz9)@ATJ29=cIXDr>7
z^+63Qv(-GVkfvtVmEN>v=9I+bNdx%7uSSVEoPa5$$sEC84*ikOJ@)D0X4ae*%!!Wb
zSIe*PK=cH&24Is1s`6N3<PvB)v?+W^b?3ZWFRYt;rj8tZ*9_hZGk5nKy&FBR8x=vp
zjP#+k!Lvi}O=2u$ygw7m$gI<$482af=hLDtp^Uvs#gmox`hIOZz5zqOeql|kRt7L!
zXV-HqlnURRp8f;26Qbhc8wUqolWiczeyNznKtmh*y#G$habKBk*{6A8aWL$nvOc*>
zWX$_;0k4PFNZhG8B8zDkq3WT-M9l5VAfQQ53%TGG9r$gxDgd^)l;I_u08p$2*jc#f
z(hjoZ=jXTF@0ScyD~$Qak;Q)DxBX%+Lv>wB_-u@wGR4$gF9kmJf`oW@XX_uk)n##U
zbcB4dgecd>J?ul-oWUFbSiCo{hVl8o_?nMZGrk%c8ZDO-(f~UGJC@Mu?084tI)$=2
znSTTEId!Q+QEFgd?`Z2CEZ6|yF#i$juNH=_QG5lemPoKLHdRb$D6COWWRZY?{XZyx
z#v|c#l+IWIpdZlRE)VAu0Da>h>3eyEA5m%IHV8jrLMT{S$IVm!Z448wp?_@~Z7Sbg
zhKZW)YF9#@rl@MD7XY8A-}Bwh9av0$dw)>jU~m5~7+bf{p)EHzXw~;2YF5uL<M!75
z@bJ(b1S?EMT64+x1ScxmN#?QHum6MDqz8LezgmmS$A2zMCMin>BUfT&3-&kv(W(Fb
z240RbQHe5*wYBwJz1`~9^7n9>Fp_WLNXxh4azo4<+J_eroiH$-k*pRDk5DprS^soH
zRz>iMIQ-}*pM1t~k%CN&m(JC}Yn6-#A5ScY)ffQ*0Xzc2IzUXf!QtBm>dkI>ZeA>~
z+11*bPO}V4BN+go2EfunT~m{$RC7#`jM8LdW?0n%H-Lu=Jx(ZFT<xCAg`AB2s|7bf
zvh@7?rS&g)e*f$ujYdauK!Q;OxkEmR4xBcs;(=dd$U4wj)16tHE#9(}l&hzYtev4}
zL*ES|@3y@_P_Uab15EUdmR2q_d~q=YblVwKJ^^DU&%mMZN%ou(LtStGC~OfAkHu(B
z_Og}-*=Pzfv?K`h9~%MPp}onpX|sSvMdc;y1>2zf^FT~M)Q<u0@ITX`)W3fNVLia0
zmdj_D(eRc%>=OXZdcm_828C;4ES3CsR<rffbJst!)0u_2GJw@?X>c(vPngM)I`98q
zM>cIAxLubHj=$Q=X#Z*ea04CA(*DS@Nob4)?YZR(v!cpeQV5Q-GzNy4m*?;Ep?Q#P
zSy+C_6p*%;md*%BdfYj)bM8c)8G%*PKeJ0C0h7wx@s<kweKu0%=b03N<O+j{nUh_G
zu5&GuIG~MfZJv&-Je9(i7gbZ&PKQ{Sa7+E~0!+dX=>I>7Xf!?IM1n%AZOc&Z&f^FS
zI!#w&kh+d*o1Mm;72+jkzStYTmC>P}|FzWWvp@-Z1>T)vSMD{k$Hqb;>a=^&>hF`J
zKd_;;2ZvM|&&iuMT)&6W`Gf{QY_c%S%j6yjrOJtt_P;A{!on3T{RC6=RK@=EW-U7}
zwT<Z9U3Gjxur&-A&C6$T>tuAXJUrM8QY|pDIc-e4_A)#1T`}-m-eCX9QFt5q+{U>q
z3aHW2X`H(%m&eO#09mJ{&zY_?8PrgHvj5)FQewdBb*+=Ne7&)?IDc+-R2}JOcD||G
zaybxruuvf5nRR}C{}SqZMD`i;;X34Oq<vqnYiWEuJUc71rMwjsW3hVO0+$(PB;0te
z5LBWJjT48Lk^0e9oz@DUk@i`a-K4wx^izqp_?YHa7Yu3)wva*YMspV)m_@ge=4zp_
zNWRC@&aW)dWRj)omA@o=-ourD0g_wT)?nsx?Tnd&3O!+>oue<Cf>~yFKS{k^9z|Pw
z*%XU*4eUk*pBHAx@L(Gnep9nW)^v1e5tbCyMqQu&0~>AMWlNNl*;Z%@&*I^!5$TS3
z*Wd>-G%%aw@i;n`qt<)8w9=>Z;cEG4D=R-B>DYY0N<JTZw6m&V?@CuwU=NcIR$Xim
z{P6N9j+U}fu1wVavZcL56Q!rom|1mhIB-?ZA>FVy2K`*WMb#Kg&c0xVf~>z{^W@-m
z_!($Fy+*_?R*|pd%$>{DT9bdu`Gu&e`3=v?k|<YhIFnVB&uN}8r(4tA9jwM^&puD>
zq;cV?D&*%<Q}7jYVPpgqDA_e>XrX7Nxeac><B1#U3LMYqBqkH@{wvk2EuMg4ANfy3
z2cX76W4=s^YNgpPK6y7l&9i51jU?pxHp-##uh8nKWyPCm`8F=smi`_~OPjyc)Jv7y
z;!sGlhn$@3mbWwi2@ie(inqMqzb`|2T7R;2<J5j7VM}~$iO1VW50~j0?8gEdn7>O8
zHg28$Cp9?OKfqW%&T&)s%*SN_m1WJ-*WJJt8O7GHpuz5b7!c2LtX)?urX@1ufvJ)J
zr;^C-*s*aY=ewn7se0w0tFSlCoMztf_Fo0Y+7f>gr`t8s=0>OZL7UJRUAnAP&tN_!
zgQ+SRc0|~Fe-<DrY?mCwhJQEguP$V#!IlK`bfU4e;rL^_S;wnDzGTbL^WNo%f`%Q+
z1k5<5$4!wvMLPe<eEnKkS4RQJfUh27V0Sb}LRH=0$x+#LB1TzKcJ>$>Es<NR!FiZa
zYnOdvnX!9Hg(7l>ZsXtQp@Cgp+Apx#47O=#eL-RVo0}gT&PD00REhF)MYV2%{WkPo
z+VG8xkioJ$>&Gp!huN&Hwo0GI(bcS*iD-8BmV12z(~gAdkc&q(KYJFI$|im=hS#z)
zzT>%A#j#}z8^dvokV-R7Z-NW^Ds0EZG|?%7;|x9j9{sP6kEcVk7g1X{S0SheVNIrs
zRivar5C|vRFRkV35yKR#`sp$T&Dopl39W;3IU@$9tttlgS9vs>$U-^ezxDsVNoLfG
zZfx{$lC-XU{Jjok7PtWnv<m$EPzn7E`BYUiZXI-<h7~@4#yV-Q51wm~;Yq`F+R+KT
zy}W?+0C6im;Xp8_(aep?qR7M8410agVw5zZcm3$-k2K@6@(Ht)RE_u5mMw#>%x8{1
zB%<*Q&gT=96+b&fo{Y@rw|oYE7dV$cpO*o5^?GL8`my~k6@rKHK5d{EA2l{}^0$47
zEJe@b)d(q|0x3vByld~M;-cnu1YBYTm0)i^@wTUu{&etum~{vr9Kh!r>6IJm=#mim
zEXE*s3~xF*zY7zipf`bl07g0%b!X5nP5?s-wARlJOkvu6<1b{7f#ia7X;q)*(|89*
zTbEJl@O-`Iza&^rwEVGIUb%P+sI*33?3@B!tUY!N(rqeY=B#$Fxe9$smInw5ZXa(t
zhkx0)3vsr&HyPSFI}|0yjjnQ)E=uSajMaWctEFrRm%Q4c`9CFG1w!B=U@vlWbEiTe
z%wY1Rt*s3h=RooX7>^=gRt6yJ*X5K;OWFX%1x9U#-Qk#^;Hw7h?o?8HHbJmel)H-Q
zjmL#JTVHl)XaO2wrlODcnc;gqzXv9_CGJ>8!Bv$Lhq`A>#iz&fEm|^iz*^-*+*?_W
z+ugk{>)F{!`F%F4G~KJ9U;!9~j;rZEbMv;=wr9M-KGzY1B(k&9#J}FR7rqG6gYJ$q
zaBZI346lUoCVVosM)Z`)YK=Nm*ztZfrW50ir;Yow&WIc4oeUQ;)9o3p(Yge5GPA9O
zB)y>eYI?a<f%kf9UYU>9O0B(A)RX7qj1Syy)X;%QMxI`0E59u0bXo(;C`tGEWktBs
z;$JzirC-1H)6<tdyb-RB)zFl1lZJf-b>0Z4?O4mOfN&w9=_(v`-J6fP<-d4;(OH)O
zw6Wny5Ng0S#Czgt9ucjy9fjc8M9mYbb;pl#D5!g~Gb)JLZX{$*=N)-l(;%+sjS`T0
zvUq&cE88%qX)idqB60jlT{N&>p48nXZUtI}OO+B;X18N)z_ZY(v&LlvGZ2@OHBcSX
z>9wVU$t>bGFuf%B2IiKhyE!qAr~iZjpKo@}sx%~+(#Y0UDuuyxbCZoBS0kC2g#=SA
zMN66mlORdVqmd9>EzJ}E5+9u~v!iCuXReht(PHx9pP`kcqv|p{F@Crdv=|;c(PK-@
z#u_|SOOqjO^Ya5$p!YHt7NK5+14CDy1M#sX!KqV9JiMn1gHzAdR$$i6tk$TVID;yX
z*2RA@1P8v22iuPmmgN0`nki#_VIt9u?(i;AW^8mG1RjwB#hN3qjh!VNm;Vt$fb(a7
z^)GVUbMM2k!FR82%kH6REBMjf2HfitB&2^&7D~l2_~#zl5+naO?CfOL%cu{M7iAEj
z-}q-ADXzlZbi`NT-MB!FmUHm2xWJ8i-)UXB!F=-}PQfdqY|g%Inr+1Fz?kT#xBL-y
z-c*B`Y}tsG(sK$GlNOy*L|2`UAyy^H{GN8VEE!aNuS@{n`#s9%i>#MZFxp=IEe9xN
z9>AXkT!-yfN5R9n%2!SW2<lnjs_1$hvCmZKt*#+A#mK1*3=B}yS-Vr*Se;!vkTD$3
zSeALY&lwo!QqUgE3@C%;=kZA@ebEHisRB8SZjrnFDQRiGeiunC;knM0Mf1}(AoT+A
z``C2Puknom767Yk9P9f?-*;fJP|fZ+xcx4#7j8$#UY}?%60OjhaAb8A@BK8$veDX#
zXEOGmF9P={rFe9_l6IWI%Zb>PCXC;mU{!>)t^4uG6o>4eb2<DEwr;O=k5&h%yRGyS
z>tVCHrsKcLFSE6RkAoB_x@|~*^x_miO^okmMe8cAM?!O9X%eWbL*U_XN#)7I^XV=2
z#Ki51zsNL<uh|qi#qBLqYp7saxLtaj>;FG}ZuNcPT!1+=(qgp~0P_ILnx`c9IBeNz
z!3B}AGr)m21zkb9fX|P}NF*??TUp5z4uo+4+sP*@^aS(B5f=EP<P5o-%%S?#&Mm>z
zZ5c-mum9Xrj2vM<v?%}F3Dav#ivWNk73!65lBBu;D6)Up3~Yo}+&7Thz|$l2+$GK?
z>0f$fvNk&H{7^HeHJW20YMOJVpksrultugcG@qT4=G<8gHo_!Hc-cQobaW<2$`1S;
z8cLmaL+<MB^&b^jRsaP}dKrX?I2NOqF)l^zGbbwVYX%xuun5wXDZb%Kpt$*5Fo}VY
z5iOjI%P|x>?}oD3Y<Gk1$qe7R^5-{Hj4AW(4ueY2ofnsD5z5<YHrBrjEf_`f^>v0P
zJC<@X14&K1EAQ;gv?AH|_rrq3tQ@L$q@K&n7Alb6#;RyXwg>v;fLJx_khg33t`9tx
z>HOO8n*!OtqGjdv+!en-KM+Q%I%94%q}xy|8AKyBh|g*D^e;s3`$!W-r*A(yE?77H
zKa&6$DQBL`Bx(MPs7Q5>8=b@GFoV5ve!z##Bw&tAa$D{1t7sPiRCRWicpxzCdPii(
zkx|iVEF<het>ikhL_3G(q}v_RzzPP4?e`7JL+gl^KMVgq%HA?6>n#fR#X?a8DQQqC
zrAs<Ql$1ugySr0Bx&#D4T3WiL8$=o;rMtWH&Uc@4?m6S$aX;J-dyGByMtNiX*P3h2
z=lMO^0d2v!r4X(AY2!~3F*G9(LPAd4<z2WA4p!M3Qs_P8LW;a=Lw4}%WZ&)u<<i68
zOf>D@U-e*InS=e0^s*#5TWB%iRxH<8@;I5xk0HVbVWP{WGiVr5g8}c#qc8V84`>=%
zuy_B>J<6MQuI}YM>B-NBvf=9;Q`w&i{o?P54;2uKI8c%)DJu`tbjDXzal!>0W(x|H
zoE#il`ugvIGQ{%J%pHtK22<0?R7tguA-zSSNB`)j;N`Vy5AR#o<GMc=JLcLQVUO5}
zIwmJS<7&i;;l}r3<3wX%MfD!^U5n_wGqF$ZjB?!@q+$7GK3T&)B3qE9>50BwYx^WK
zG30kQ?QH8F-bfx_$lP~X0#f%&q%~vb+MAgM6L-yn<<Q2a0ZbnO7^lah&)fu0)zDnm
z4GkUaZBFo9^kXsGj62f%c}{c3IC@M<$mGOiS(0`xl@Un_k9bDT4Xg=PJ&6~4Ye1hU
z5nAP`rs+1d>AaIwcSO=M+#8hRbH(Yl#|&GB6X*DDvw9kelt^KcNH#i)A9BjjM&O6;
z)@PuGT53a_jpLU7>-E1Pl-kAKwdymz=)a>I{m>k1@^hCR*B?7YOD?uVE~dXzp`#T$
zX1huyw4;nSp-Vea4?-y_%gUM-oF>M!raHd@dYPg;MTdE<G_7O2+KR6?<|#;eWPSpp
zQ9-D$Ak3=%xL6Or;Oo@+XNjEpTG4ilGD}e9fu5WjqJjlu^g)=8VC6xZ4vCzCq8M5}
z(6~EY%S!(J`?nVCvp>}0Q^t+VFdbECST3iCcWp|R_yt^H>vOg{m%cvfPMoZ_!||nf
z9IVG<#TOH7ZJfS@J*#8bMka?`I-h*9*XZd%ekRuPM_;3pX5Q12WJyPjfSDQ2_=Cl~
zIS!?GxWil!uqw!z=1%y~qq+=%FTBW0U&p2vQFK=Wx{#gy8?^7M?W)e|SKwcu0nW(6
zk~;uh-s!oLU&&lJT{&{a>{|<~M!u3+EAtWx#WyFzB-bayN%7%B!$GzyCNn;XamtO4
z`mUU8o8F8TC~Qu8ECk;El*mnAR2ma__fzl+RxC#qZrDiAf#sEFuH$ZaO~>wdBsU|T
zo_AW5(|WMPYYXzG8`q=^_<t*VMTBA61D&7Qmn9oV21A-<=^_I0X|Gpt-!2qxw-o*<
znz#uJx8xA2(&z(l&o=2OItv!rpzT9WJEkzp8!iRi<BNYQJCqbO$@-=y>_6cVZ0c;s
ztZRA$6{%(Z)VSG2U+x$wX3OuSqz^|Y;O*a~B=vOALdsZLG7C0wVsl~9)kWi}eo!v<
zf|e{w3XSx69>&F_CHn5l@h1{J99-*X+sw(NoI*0rEi9X!EEf(R{u0oyEEnzDG5*`w
zOPVh!?WCt)PSU75o!P_6mZ#oc8;;8ErXgQZ4?Pa3xADEEr)MYb`k>oA{i-h|M*j0k
z=AQAGNAm$e{e7EERR)8qqh&GW=l6%`_w-wD1=&4jD1K=)lc!wj2gFGoJ-t>?Pq#)%
z@db)y{2b`eV*C%K25#X}#~qE40`;!TvjZGiTBDsyUhlMe0Gae=w%49+#jM-p&7t65
zp7pj&zAnMdbxgGAcN$&J<|K^j-YarqqgQS8!9r#=@+O^Ca&il;<?Lv|0-M`j<LPzY
zm_tdEjGaVIj|eDQA5lglgE8a3_TA2SDHX&%%t9w@>FQ*r!FUE_o#;MIZ?v?u>{b64
zvJQvQ9My{l)Y#7@hQ_{bAnMSejhqas{SbI#Ee8)J4N!!Nj+ZZbC^+w9F?2ZV_`
zx8sOK<A%;?fi$JWTF<g4ubO&u-m6#C!~4h8>a}&-?K{Jr?U6Qh*O~B5Ub%b<_u#b}
z8nvz{U$m3g$zK_=eW-l7$6&v15C5f4mp$nv(wGfT2wnLHa#pH;Qo?)Zcd%k7r?Qk$
z&!_5cpRw>jPLPXxKu_=7k~w!kcX#XL*k^y_L*14;wz0(~bbF5j8pnx91ave=V90tp
zF}~L)L$+60xss~MHsTsGZ$o!8U6ahx`3fK#|J-WN?3V2`CMwc;`|`4D6RP;Hnnz15
z4LggTBSEjKX!o1Mu=Xy}ecc7X9Q=83pCL?7jXw@o)yh|~?@~a|19_PMYxx4z;40R4
zvVMhdKDeZCLzB>xQsY_9%WpLLIB^R%7#t*?G{Pi&B?Z&E54ez_`3+KGgt`KzsyT$m
zGCA@*XNysw97=LORt8Kv8L*d>e?>E|I=|0Q>!kU~wt}R%AN(sJCiGkB7M*ELq-JYX
zte(p+c8S+viH1L7`K_PTTO6yQ)Rh}$sSadf=#PBAM`qvF>aQeV=?>zndZ#^|FjD?r
zScva5G)NGF^{Hz6+yScR&%JIgSNIWXZ<wEeu2IF^;^z7aX^ShhyXIy(q_`LZ2_OFm
zooZr#WxSeu*e5Gl#kNbAoYJ85Gy<oRRmf^r{}B1kH`x-WvkN+GY<52UY2LI8tB&0y
zp2H@oqiNySJpDd1XqraSRb_-sv?;1S%+)gw&^zd{qhm^!TJ!ODb9^qHue|;-GL5i~
ze-?(@U^6CNU1Gv_y;{??mCbjK+}toLcl9ac{r3G&)!$rI_Fi(TgAQ-!?wy%%&#ipV
zu^GPuMXI<Tg?iSURQ~+SePsPjUi~5G6uVuoUgbx;+tG31Qplu)j(d@$kHwFH-R-ZU
z38IqARdk-IG4iwote<ckdkl`NQ`Q56B~nv)_)R#5)b3as^$XfWqI8ND@S*jJ%~tM(
zGxxbZx#82iA;NA@t3P+7<l>JyZ8l>I)%@_uUa{FGo}R2YWeafX-YWTsuy6Zg^)e%j
zo6`<{E;SE)0r3|CWG5*d8Tt!)y3SVtk)O?szGLc0RF$XYum`d##AgnQthb3-M#+|Y
zYf!?~mkWCBn&8CYcG#R<N%lm@fmaZc;HfEMm~WAbzM!D+Jv|MQCRUC?0O^!|S!o{~
z5wcsf{`nJ>BbP;e^z?fojiLn*lw4nsRX$<AZ;Hu6Sh2IFqH&{5nAwhV)0uvqU$E9Q
z=Cn!~?@ZVzNNV<LiHSaI#cGDz)Y3WO&I*I|o{g_@T{KE~16GucFW+>p1e*rV$?^Jo
zB^Tt>wMqqjB<lJYbrFe<wBRGUP^|AsUJ8X-s<<17JDW8<MYOByaH6)S0=lPKK5f-X
z$I-ARUGhvxG>a62ws$zY=lgfJzbGh)#7Xuc{X2h;+u7)wfX&lwX?{e-%8rvSAXVAR
z)|~RlL|R(<6DVPz+5WTC5>%l@MMWt^(vvsfGtgD+M^_Kf9VvQKn`mAo&)I2dIgAfW
z%Z%@-O2@FhuHkSTylOMv0ah6!5PhT$5eC%yQZs&>3}Ta5iixqon4eBpQx~v2Rp1sl
z7&Lgy^+sCy2`JE)>Q1J~`1zAhPftzcG<-8MC>R<pnSq-zXg~Up3+?$g*;t-_bW>Y7
zn@5C-Gb{&BSyC&hpp){d-nTPsf`h;%&V!FWWPi0iwd*MNxhAfGkPsYOOKCp-@p?R;
zVC?fwqpBSBVrt6_pb4F{)#Wp}NW%A-gVx!|G6^0dR~c;21?l1s&nUc}x3%3Zt8%so
zH(k@-5|N+IclX+`Fb*#U_EHX`g7<geNkqiNz-R{<4UHW=yayD;P#ZuOuHp-qfN<J;
zpZ)^TdA%*uXR7prxipqDlLHy3wVz56zLnHQiAU26EpahBmnMm43Rx>G%r1Y?z3Al;
zvcA?C(ch)Fj57~4OH0&!UB=&eQ|c^xmb*7eh6ly{@ykhP`)fei6Ui$efq^=^W7uZf
zxw~QKpN8*W%W}$x{eSYVE<uk_lxZ*^|4x21n|c37YMjE_{f7u!2&`xXbg#SngPwAG
zQ<K;A)dh?3VERU63knwrZ1v3gU-(P?j`Sq%L=`<y2?G?Bv(1PV`1IK01d_LR{Dov+
zyJ%hvwfNh>8iSs8Y&;%IgD1ZW$5^SE<5kq;FI82hTw(O%j`j#SS?}<Cy23C*2_qLS
z!^n+fZA8@ogtDSTRMe7gCsKyxlbw$H_t$%iJjwZz6x+j=^HCO*vE0z0t26dRVD&L_
z7}eiyb1P;he9(~b^q2?I<W)uM2HqIGEs3g9i}kIFKsl(pzhF5W4Vt{%lMAbjNnd4)
zI*u<-CBiE3EFZaQti6utpOp75HR&sTwi*i~xDbhWwqmn!=6V<y#viML!@7i)MW;33
zsVvoM04p2b)Uz(0qc+RSg>9x<rV}<+lh=knqMWw;&A*xy`r$h=GyTX@6K;|ysm{_{
zn(J>%@SJ8rwq?P37~I8y6ZiY3f{2V_<EM2&&}Get-b}!+GNNs~0W5#|Whg8@9}@9h
z+Vk^oaVw^2%9-Rc5CDltnek`HhnG0eSqOtKDtGm74wmDj^?mpUA@<1s`iS3O+sW+d
zf;$h$2-{#;Kqbx8SiaUgxdUYq@xZ|1x2e;vciq7ZyMrTJW)JK3>fK;gG#$r^anWml
z{nZ$y>-Vfzvd6O9#4zI~_nkXVo)g$^d`ccIOt2RH9BmDoK6%)&F~2BJ`Qlz&?B;Rk
z6pDJmKkbMPteM){{NuVwaX+-C@j*-<vuE^F{)&}5d83PhW)5iK7Uzjs{^$$es%#m5
zKZ%KGYH7Gu(8b|jZo@sDUu8ntw%Y0G(0+X~u1XNM?{Kp=79R`fQXwS`f&;XI<+r`V
zfqvuL?oO7oTc_qO7wyUZ0)5i1QY42Y9}Gj8awyIa`qSXuJ9q_W>oo>{-6Df+o!9#N
z?CbdjF7!JiDa<B+MOfCK`GM6Mggimv;ZmV|FixaZg<O!7XJAHzpLv*rQ|6iOGI~!j
zm;BK4pK6kvbTc81WfFSEw=67AqQ`Z{<K>U6jd{-Z3hhl+x4;0U*5P-xVllDPqIrCv
zJ>_f=FHb1%CS<=Qp_u#b>B(|Rb@%tNe>3YwxG=ZMMpst$b#fl3p%aw8Z#~XwS6Opp
zR`GF?@K7#)MU9q*d2_}L=VImpZFk3=y{~A;M87TY^Ms;@+@puivsu*=nZeN%gbX9~
z=zEp@j2^lAFH-r40;Og}+}>^#YMwb?J|*bI67*-BY}(-Rx!(3otaY7RE?-pVQnh_?
zU;{;)*uL{_|2o%Eb*%D%s+&mS)!nUlP<rf7+V<@MGWZEL_B+^7;dTqU8lcL9&xf2s
zo$k>&)V@HN$GeB~Xo5wS*S0lueW@*nA$g&zM_8$NORuhDH2b5SWAQ?0^ijB2H9in5
z$8C5LLMByb`2PN#@Vjrf5S+Dhmm0HeM9BVSg(O~Q=DW0lSiDy_OA@NYaA<I$&S`gs
z5N!Ep#4(+<&4<gFE-AgeeJc#@?$|%9808z(J==?;x#?+MIF^zFey&{a4kVEPj3ZTG
zY0#qeWuL{RY2URfK}%QWqxTd0s?4*}5vUd^xsRwtbu=3IE^X#?()hy5BHe0fHwiMd
z(|y=)_-1xP&PM0;EyN=VLT0dlG1UmZlRXHc0aK-(p<&dQFK^zy?dhacRaK3lQ>9es
zyVoPBetkJ3;L6Ctg#4`3t6eFJo$=f^-g3$4!HhZYfS&H_@`^8G^2_zA5m<k$qK2(Q
ze>RJ(w?d7elZUB1sY(OVF8|M;cfsCo1I&)d$jFz~qRkYdk^QfWkV{goiab3z(mGCA
z%tadQU4P!q_eTtu_4?l!oS;6-3ya>M);KjK%={k2Z}{r$XlAB@FWnf{%Yp7z?%@#y
z8@K;ju0<W|TvDt!Ptmm@;7lKu>$mEUHn5$QCwH7B=w<%8tChn<p*dRA8f1%h*`IRF
z{-T00SlP9{YRUTUmVZ`~OAsV!7n_dKgN{i;NdM>#2+@$yh<*cep6T`Lk4hOSWY0!1
z=1G#1hTe)zu)WVvf&S;lW|o2?MIaWiTLOjXKy^AVXYO8R>~r0Qs|n(IhLq8bjZ58E
zPlz~)e8EMvwMB>OLPNPO_7u#dEt4CH%a5L^f0h5433WWnt0O5MMMCb#mbi6--?S$h
zdBMEHcmLe=R_*xv_bZStm~EFofPsnY<<VnnTvlQbw;yPw%hJ#ZNI#;^xW^jv|4SdQ
zdXv}Xee5r3_>3y+0e@xuw>6BHQZ^dbbffsVlLR%9WYm;p)eed(K`B0<Md{++sciw@
z0|NAk6uG-X7m{gnPdyh`rbr?%LIp-nV)5z%Hz3Z3Q3sTFVM|?w29hx8Fo5(JBp#5j
zBUsfRl6d0SXWXJ@XSFgGAF7~W%;lgGZu{gEX9|g832ZbmE4(0o5oghIdo9UapiIJR
zFp`U0|6BKOx>pp9Kh~JnAKeXoPD$wpD#{YOHCdrBqE5JpBC5%vvNCxUmE6U&aMBdZ
z84D!Dgp0p``(fi^XPwhpH2&z3CaGP>PQ$;M+0irWD=fP$6L<BCucAA08q-B}&0<D`
ztiOX#rW?>dMPkyiWV*}m?7jbM(Dg$>ad_h?&8mdxM+Y~74aDq#OgIcS1}F>6LXR76
z27so{knDL44Z7|*A9TLitx8L^W8r=#4m(EgIkIXN^CEtzTI3ND%ZkL1#p5~NI8NFx
zOA#I5rqxF2>(+{`;ii7#`uA?o9_UlBVE+MLtv?zuz<pYHt`3JLLCnr`I_m=@)qByW
zKa>GNhk3T_>Dt*{%SYAG#c=gbW^Nc$8Pr@Jn1_wmRvu?n27dc~-)%F>e0?bp($P4!
zI`oD1`>aN0bA75YKg|}n>O?R{zk-GL1wnfBpuvt2XpUoJWBc<}E7#eg#oimQ9d(8n
z^d*HxL}0|TnVX0PdMo^%uG0qf(`o$+v&z@D%*?lZni>P%fSJzD2+Ee{qL>SbmtfIY
zZM=lsocX~FaUw1|L?crddWFWuulR2+SwNoOIzAqUtKsBTYS>3jS3WE)uO#H;^bo9L
z$;o8Y%%QuxU)O~V3>GA;Bqgmwi<?_4>2BVOo6t~Gn;x3}ZXPLn`TbAbpnh`-`zwNI
zu}k_&S-5hr|9^_lL!cUt`TEkx7rK--kHlB!wzL29xh~_(ZB5!80j_Z6q(2BHzmuL9
z;Vxm+X?;+CwoEt(op``K#c|qF5`_9eGoA11P!4th5il>E&HA8=7<<19yxkP~g&ZUx
zgV}8lT}r_z+PY&ylL0EU|EV-@$V`u{tYk;Zk{s^lNQjJltD%uJ#zKztjOY0sD8oZu
zn;(xh2wLsg5I_f#iJeVBMa-X~CjD!q4e^!P6yoK`>zbK$Cpu1dg5^}w#DrSYZSNlV
z*};R@+}w;nJ@4-BN~;*;F8N0Xk5^sjk6fQ}obWTEe$)?LYq$FM8L48+DS}S*rpa@<
z4p&O*!XbA{rS+$7*N=ir-u@ukZHXY2yp&3ni9ErzsTy`9gt6ZoEa5;LL-;4wr5!;S
z$<oJj=S`tTor*?w%5d?C8u(Y4j6Xg22bNHjf>X!uIJ1Qa|E-!N8}JjE=>;}g+uQx9
zlHDTVFG9FYA;km?7<Ed<HDP(1Zx!-+e!K2mb><dcc6VYG)4DmaiYI*^%iaqk37tFW
zbJ!c?A3Ye);<mP4Yo<!>Y3b~&RyVGB-aJ(H@}uay-G5(uImo1<+2YA9+C%U`KV1xc
za^%MZcN-BBPM9i<ml~o&6ZG`#3<C$}Jt(Uq$@l)sNxcH06ah!YHqk!xWY#x&B8Ck+
z_t-zGM9v~_^5TZlc7530qXYtM#*&><SQ{1Q>Z%Ajjd1h9AVNT=*3lV7rCj4cN62Od
z5iH`yocS?BS@Rt3)CK3K-D?~$o2t4<YP$Tj{a}3j{bPciu0F?){0&ym1BbG7l&j8V
zwyP{3B)gZSO&MKqN0J8ybU)2}fvxJcED;)!e)|qbE0<2*h*qAAZn}bYUXD|N4BV4)
z3;9N~nPe4t*ku(DhqH6fbEFk3KnKSPHbSX#yCbFipJs|V(mCmW*ig#ltqan#zogdY
z9tx*%zyL?;f9lKu;IhsJZd}mH!)5z97!|>HjhZb&asmMn%rO5%Y{3{A8C(w^itQaZ
z%Blp-QX1JKBOGLQPtI<CT|6nWdit2;_tthDN<&fZ_M^MrPoMGeC4tqd7$Dm}($c(w
zsOj6=+Y!U;vx60yydrZ@HQqhx!H3e4j7q9~dQb^I61Cdc&xMww)!dcV=E&MlRk4rg
z%<P{`;<>W0ToP}BSYGhPEpJ?NX9tVcX6dH$qv>gM-@$%sg^*DT^3>p9B<%JYqkQ0S
zf$zKpCb6O)J|KDqqEVD{3kzwV!~{&2WIu4ZU)T$h9j8{Byuf6^o8Ji&%D_xDe~1Cl
ziK_pKWW=$_0q&GbDCP3hYhn=lc$dx5w|easKPEtNfZ~oXFF!vTXClT(XNK(c(x-f-
z_@WiMU@<ta<uJ7@`~0eGkwkiW3=N%7xqMRRQ%BQ=3Hu3Aziu3T-FUo;io>59)^+4k
z#>LAe_+B$#GF-AS>x1HehDG+Na^}!S4b7V!%kz?rTx<Jxux&NqBUAwK>{1}yQ|OK$
zlR4bjX$pv_zf5vaHs<tJ;c$8$lgeAoG|&-mE;E3z@1;LonbWpND?<hO2N13h?*X>e
zsFIQr6S?iRwN8+?$MSo6*heY}wBWH9+;^$-T3uD0sn;<zmDG~Lb=Y}mep^3ZHQs8K
zPW)rs>!y5`oEr4xzVEjhSqQK76k92LaZoJY!Q2N01tojf1Vjt#!~7H!_aO4BrpA?p
z2CM9zgIPmkWELf}g&MktrssdJbIj#M2<{Gkmps3wc0bOdnF40%q^q{6nNUoH61)$z
zc4#X9Jh@U)R<`crJwY%};MC43D`RVO-I?hapY3XGQ@^EkYDJpax7v{zn)SQ0s=CAV
z+B<^Q$p{<0`z+}2u$D0FwS^m!pudalz8<Zz;zKK&iskG3esIgb+&>5;a6j2}jVAur
zcW~`_V`4u+5G;~6ToUl)By(<{=?-GRDrV0`qEzg)TlOJ?0>va1c4;uI!pKBKQnEnt
z27qy2Vq*g&vrG;2y(`{W7sveg!R&JPucfze3hG&#N>JI-p*1Ev4|=9HFDo54dbXy{
zcLfib5UgE1lk)Gc<T4R&%b@4GFI*SEu}L0?qWmF#1ee?Okvw%^daGIexea@RIhT4`
za!wA0N`6>#^Ms(pkgRQSY2|Du1r{SadumZpNU0%1smapw!NGl#kb8gQ79~*3E4|0O
zr%Rx{&qQGpT+6PH>3D=no|XRjUxSLcL29g-We>upI!Z-kw0`Y<EMaCw$?FQfS-4s;
zDJvhY!*%0TXH%IGG!F2DNx@}9CkcA&<6{ZMmTJLgUSbs5jA~cY2TQm$XOUC(8U#;f
zn*logikdpNTnf(R8z;W(-eQ-#9BISrr&pCM>|0r%5lTS<6;t)d)|1W{q5R0!yx(+1
z9=&ydsG*>w30BS>(RqmtGm)$oz2DSybnnxQi4QOU+XlFMF47vuQTI|z)}#etaNm*x
zoBO{lCjqrS1RTqG6QH*xj@cJq*2BeJFdSgT|8mdUuV103D)Qt!RnUE`d<AE@mvA~|
zgOvbBV;b$UtlpS%-sRX%f2H@4T9vF-7vlOM;8TnEL6U@--F(a!!LD6Dpn3~!24MBf
zyg&Zp@}H(v4g<G(WI?Y}@_)DUTZ$pu{nabTmYkoRO)2|IkS+f+-ed2Hwp&lv@fNPq
z<rqgM+Tp_NnJUfP3nRX39+LJn7C$EYFQgaYRMd1?EjCQNK1@j@c)9XM?}gmGQl`re
z>#ji`$+RIa^D{dYu1GA5rtSNbLnRJ95tM|WI`s9U+-udPxn=T>;BV*{`qW^ye56SC
z=o>X!y75{qk{C+LJRWzy8w<|tGID`CMl8rzvrRsmGYt(ws@mGmEgP;J@<$O6Wea+Q
zG(1M%4;6o~o0`xsKAsQ|1qxvAqhKhEjf}K8cj5-~n-vz2lwZ+|4m8xz5Gkribm;G7
zh=&~Q>qXk4SCGG!q15wAxzj&*a-QD0`P4PP;sdPz?Cdfjb(*)6s!z+wQ9P%SkU6+Z
zkLzm&vWID>>ikn|R|WzCGuYn8Gp)k(aRE3=ZzBt?y>W1G_5dk5?3_>A75n}BK1i<F
zvfc?0F50M3dhouxT{0pG>Xq#<&?gS0{x9YC4}?4`#RqbRpw`Z9O&8&<>f-+7xD)$X
zBgWZo%95xao1xp8Fuey4@yx;jAm{Ej+jtASj(BWlO8KMkYydoE4Q51-p3*jUbYxMa
zKb&|%CE5Dq$!c>y$u<$Xlr*CD?tMo!x1i%+ng94(N$dI-Ol*^KY~%973XEuU&>nRN
zDYeDCr%>qMXgeVDM;NNGLBw!!@r+)78S+W`MJ7T7G{LtHzayJZAx9ptObA*1y^kmp
zT>mPPR#JV_;@E!qBNXm*RL#FE%`^?}Bk#^NwIKHGRz3ZpE>XR|xDW0U6Bd8}SCS1~
z5w0_{WxLGtvq%}~*6u=}cKk$CBTtP=l_#MbhE9arkFpR|V1PyeqEE}hLK6DOkT|b1
zUF$r$RgTL_3T+hdS+b<Wv#7r?Da@soj_L1OTRlV;a@fd3P&y(`o&H7!U03|zNqr-&
z*;-fc{#-PG;_#_ZM&xJy!h1No9g|fb4o=8eU;F&yQ-0p<%$)+48xXWxLHsy1-9pSu
zdU{F@4m>bU!KB&R+8P+K;fSOt2&=?PlvLa(*VosF$e~duNOo~^dy0k@15Wq90xFWX
zG}ze0x>oz47lYi0I;!!I2IIj5TBS|led`9x&;Vvrx?mOA=fTPm8%1CrpIr#YoLy|J
z=oi_(W_ysBT{1{-#PWQ53k7BdhyW|7fCGUKLrF;qvnI&|jwZNUAOcir6bsUAS9;w*
z+|N$50K>t2MQ<K~sRS-(6n+R1II>yNI>SK-$LB6Huz@eoG1489H?IQ~o(Nzte++Nn
znK8V;zw2FX6y(YqaN%zH4(5%t5>?&>w^^xigb4lz=<Fd`^g}X$?T8_8XBN=o!ONir
zM?Q{_38Z;^bk=yQKBf3`l|g+gR|cvva#q<kj!5}EwfsnFaq7P&I3@@uc35g8bzhEr
zHaW^iea+~1`mXOu0m)!!AXG_@(`nnlXBR1TLSp_MU8JA-%OcyZ;_{q7sYRqUbmKr4
zD8Z~?tIde_3+!-b5Wx<ZBZyV+hav68d31ENjDmuKdqQ$@I6VAm!q=n(p~m8376%+$
zDtim(RAb;HVy_5DK+cbr;pIKE>m<H(yb-A9wpT$|0}{jgI@-E}raf!_=@jNL&@T=8
z>_mS1=AV%f;DAx)zV7<p_hr60eev*qZ^wS~XgnB@o-@*a;jCWfBp3ammUTb7V3k}{
z_PvKq&QC7)j~AgGktW;&53_s1I)`tB?XkUR6>H_nRoas8)9=sMtJD1`rs)3`jd?I_
zN__1x19={b`6|BTqM=E}dDRtkcy=H<LL{LA#K@~jYZicmi(u9GRgfGQhyq{#!<S~B
z=~*kO!|SV49mEwc^M#}d{ps7azv#C+yFyCQGs6P%*|h=mEXkPkm;h;2fuTVe%EgWU
z@is!syvp+(yo!a|{Lo3>Wyq!utp$qr!d(g#8Q-VrlRyj&iC?a{i=ckIhL9yAD8F2M
zLNqi7Zq{w@od4lN7W`O4;sg00*&K%bg#90rM%Ny%9w8q_uh_ZpA_EU>`cr`oQKF>g
zK;chy#Z=*}A-RH4-Tp493|H-34qf7G5=jz!`?HG<@0B7SwAPWGxzC&#oG#uI8=^!#
zhYp77QJ$jQ!oq?NpbOyff6m6H0AG=JYpWR#&nC#ZvwiY@ytv%libm|5k#-TTJQpng
z>d-aclgPs6mN*bWx!6`$zx86%`9K%I4Ta*kT9(6cGsk|rGo;5a>2f}%Dtt`G7+OO$
zZ|y-LcpHC8rCx3lJ&1XCD}g0zVRz4(ym2a`=(8Q-d3nym<|9+bQ!K^!VyI3HUPdHY
zN1+y;wpMyHL$W4U@I;NYv8cDhJK^{*xMdQp4_yu*@`!9z^HI^NS@WM6sogE1;)e4b
zqrW)Fb+u|ULX!z8&jUOM6@Eh*|H~%hg>qb0R#vkKsQN3DSL!(h<6hHBgYBSu+Lj3j
zLv4!!9(m#o0M|tm7m{IuffJZ&jr{G>QJk#{Eo%a3w|o2zN9iw5|EPTkdF}Sgg@Mq~
zAMp-<49F84{&7F^K7JohS307QV><FNMqk5i?|q6+_ykZbRo*K2Q$6Q<l&{e7hF@l;
z>UHUYJUPrU>I=cd&czD)yCO!WrVnJxPWQYCpKl*+5o!0w`|@e@ULKzN;1T9HUmegj
zC(L|af8tp8GIxXos7kyr6arB}1VprAfI$cP1NiI~L<m|v*wjC&Xgr=@Sipz)(iyjd
z#}Gj`%x(=`6M#7&()bXFbtH&%#q;p+5c{(wold?oYhsyShT0_Ya%k=4OZqfn_WOwT
zio<)&w~^$TXTc3p&~$ima(*1TyCTtdSCgUsrh`|cQEun@&veuP@Op-`hjCQB%9gl%
zqaS?tVXM28k(Y0UJf86)?K@UiAxGf3IRiawEQ=u;SfA(;xg8bWF54$?*$2sGN#4R4
zSEd6T&C8eBGD7+QYeG;c#6&m0+`X^a-ZDf&YN)CsTLKK8Y~R&In!}B4?}twg+W-77
zZCmR$-=)L#XGF}FLg25_O3hZ1!%Y3-fTUVJ$J<LwE+onoNwJ@y{w{Zc@etCI&b>Ny
zm|uc4X!iJ@rQuAyJFwBBqOc(CvtzjY#XC-*q`+J=A~LcWxQ*{%TnGdfkQ{^nFdflu
z1IP3NFaV)&i;Rl$$;o*Ieri-wz697nVxgda`LmR)MEBy}cCG1?O7xvh;Rcfb$^bO=
z5ZzCOG`e-X<F2nH5sMpGXO|_+Ai<;tP=HZ%fUEn3(AYudLc}W{#1Jn?tgPGJ{_&df
zJ@|mJ<nvQDpbt?gj2Ly78a#GA*>3y&I{=~3gA*Gw`lmr_J-nlh!iHtwQ5b^76LCvJ
zT#eIzc>}o!(Tn)6AMsPrikFFL4d`Us_~XH`<`D@z*dMR_8ElKnOXlwmn{kq~mzD}M
zPt8by{y*?fZ8MT0F36<0o&a6i4e+=`d~UJn>EvLJHrb*P#pFt~Nll*Dn5oBjv?|d;
zQ`%wE*IKW)g2S?s@ev#Q+pu$Jig&L5$h!bn*K|1L;Q|jGI|Q64pZyK&x(K0<M&SzZ
zH1q+O8ANC&u%X|3rv-f1WV(;V`D;m)V_yBHncL4mMWdiN7!9-<v}x@w7=&B|xu3&;
zA5ezE{kx#`9$W(SKl|VcGrxOmC~&a<zx&_sor>RBL)D|Y(h!`<l-j`1iSNv_yG~H1
zqRmS9_G3Vef+5m7<3Gm;*8;plxP3ll&`>j+fo}X>xaXx09Q3an7=6zc`f&R<<lnu|
zus$?my*TleQ_K6PqL6C{FIEYzIaTBDLHp;3O1RLMf-$vsyd~D>F}2Fu=tEH%{zkQc
zjFTq$p!n4$TG+DEsXpq9>g=|vgcu1&cGnDjJ0r+p*}u%5`(XPR8(F<SFM-3_8=}ge
zenPaffCbNDKEVn$zf<^LMa9K+PqwEJ_I+dHPWU0esHmvspZB(KL?c_t2k7>v4o(;w
zN27PgSV@$hlGh8rzFjVMNm5}5tA^p_%f{wr#9A00uY|`AK#<Z(N@KVGe5IhJjne?$
zG*`F3c1z7cGk>P6S{}vqK90A~!dTV93-FYPb(wvXk3X2yc{;uKilR*g?%)YCqojq~
z3ujuEl#dTH!oRT;I4C%AILtwxndvuk)jf)L6oxjmv`P6?E#S*h*qyRN4fF39N{c6R
zujayxq+B1N5m3>74jET>%n)cjqm}<npXq>kQ0~9b(9r*qq0o7Dkr4EVC@QICV0e*p
za45a1@<#hq^gdKDO%~&D;?C)>F<bIO<{Kx+D7XdFn%LL8Y^BKd1@ZUR=B9|aI2jq)
zo%{ar-_-v6pF{s8C-+uUBXY73iBNp^lP5xxOm}AlrcckfF`$C4y)P`Qp&+Ru#D~j3
zX>H|smrBZEa=6e`u{XE-EHpsXHOX=$sgSRtymGd}xDKDO`@R&Zu-|D7OPMfxQjIP4
z1T%4t=y-ypsNu?*h@>!8`QLwQjAon|?ai-zs(7EhK|Ec3JxxQI!Gp|j82;DWmp!6(
z!SU4OUH^Y|_Gc_a<Gj&6D^;0sWVREq(W}21rGIM1i{1Wj#!OK~HXf1!k0oFUxA;BQ
zg>+fOShWyl=9%t5S`MP^BBoaTSs~xGZSOx;w=He2+Q_Kc&dV6Ym*zUVxzYXgRb3oc
zIXbcrT<tKJWY&ndp91DJmG}j1eLXOM_4J?a9;}mH)}B9*j@Z%K{k<JRG~+{3H)UmA
z+1An#Q6qc;{Dw~ImoJ!^qFQhl#yqGKF41<+*r=?HIgMayU0nn58-lj~hb{m+1La<i
zpo<F^R9AK&@T!)`kd;wUaZ#UvHmWX&009;UV?kEVk5vJHw!&k3YH)e(c~HD=_NSUI
z>&&JlwVDBQ61!Y%liRWnA=v`4IGe@fZy4|h3JBa1|3=>i7c!w_;M~CgQ3&R$;MRkm
z@%>wY)*SX8!-4i8QcLXh*u-}hYaJ=%$9v6PU0wo$wRk*#;|-JIKZuHQLMH{z9|O4I
zlebnDGR&|)G;P3v`$z}6kj<r*o_+kDykq9$wWcSYj<tzfco?fqAh@h`o8b^ETOv1D
zw4tO7B&H&(vf|uQn344-t4n!esY=)#8v5#Q5DGd4FfKywUz{wVolLtCRY*a*${{E&
zZrnaD2u{M^eSKMZd8k-eQR@z{a>1V;5FT!63=81R$MR>|{Tt!&bvPTE@xoMCWPH<3
zUy?of)5_8vnr3JeQ6_Mq4I56(9fKHzN%5V1hUq$VVXbU!TiV+0fl~Uz2l7{ICPsS)
zef)i~OuE?elhxA14=C@SIu8kW6qpU+nc{J}GLr2OdEd-#gS%mNWvBHD9aS)EI3mf)
zcXvUC=yD0K<Kbg-ww#Vh?)xQ05i~201#0NLW-2LmU6+d6m3nrWu2D(<-MLAkcXBLm
z>+A8l-+m-q$o|DW<J0P{d>Cnno}46RTSl|ph+lpNJ}8c}KT`Mdm3{^&F6NL8CvIG8
zCXGyjsHlvJj{h_A*N+pM8m;a#KohCQFF5#7YHBK6{&bCvQ9i+#1InGHzd3RtM4Tnn
zme68?>_xCXy`oU;4`X60V0^!DyKe0|7AI2dZ6q~jhq}8w5t-M|cI%!4*`?dr>5*Tu
zd1A=rqxmUBf9x9{G2z_QEITjtnO-P_+xMKUd&nowt`AW^|7ecWF??RYsp;<4GoNqQ
zbMO;u@by)$)5gY@89(OqFLVtnVjR)=uL{qN=wYY5kKkE@z8LWoZf=?(^5TIrJ<u^S
z5(Dj1`_tir^OT|Wv4**q7wkj;KPR4TGd~a-G6cm2pX4N)BR1A@C|nS1Y=f(?qk8ui
zm^R0W#XPQ$=KS(QInhx~F>F1^>{NK~JNnvKDH_?w$7k_YN^HHKY0~)RI>uraLfX=C
zeo#v*2S8jm7q+Y)nByMI-r0*ZbeZL^7Z%LA*1zq5vzUnAGp>1_*~N)-e#s;_+5gVT
z04V_PqUV9g$ISVJutO6AL+@MJ^-N!dh>Iwn#(zAyGF_nUNf;TugrN;80qcY8*mQJ=
zKmdb)0nntO_W~*7&dYIzNWkO!78!YO>q)3k8~Y682<y}4bIpwoWz2t8J4%}uEjNy&
zQT^H5<;fkcwx?E5dpwc6KYU;_T)tnfE3ZzYm~`Q)i7$9`7G$k2*kh_M7|mBz-DB0W
z@q3tm>HDbKzlQnuCJDI&Ez-_BPU#GBRldy$>`Z`;0AxF%-KYQOJY5JG2@MSm71+pu
zSX4SDCO?b*REYnLQ~J@XCh@{>ORLS?R+#D3i^<8En-LO$?%a1SUd#!ED6^=qu|4CZ
z-^R-iUKAI{J)~|(QXRLQRwHlMFIms6+a1<G`XCXC=d6l!WpF}Xq^fv1N%Y`w^^af_
zG6?8?|E7D!%9jXPvSWlqf^h}9!;gt4S`zzWx`iTVkNPT$PW0?T52g~T8TZjVLEF>u
zZzKjfde9<Uys;n@&XE*;Ye8=qDK|!f-!sr4u?#j_5lLn__1i^%V<QW(qMmtY8vftI
zC_j_`cES3~eR1Hr_~ho&KzaY}{rd<A+9ns}Ir=O2F!yO06?8CZ6#1cSz-hQ~@GHEz
z%7OzERaJ_P;+2Fvx{1kO>KqqYk^XC=17zaH|8w$R=4!*TKX$tJl+B~|9#W`KPrvdV
zeEU&p7u2<|tSn+cL)h%N3l2nY{Ql7W;_@A<KO4!4Q4&d_WZbXQ7}z_(G}<+OrTC!c
z=3$P-!Jebe<X4SDlG#90c2&y5jo#Ml`rmqzE}xK)^sPkS3CN>&V&lX_K5_IdrJ~;x
z*C7Hf=$}AKgKa#L--NbQKZZ7x_jfdZJ&AHrPd@!iG=Jk5LduCO|J4rvbz|_r9k&OE
z4$VUak35c#dHO4vIdue>m;x2Y94V4|=H}9IpOzo~GdVCr57Yf_`fP~%v6g!i23$ZV
zp2N|pyEd5dn!4D@#RU@^yA^mCoxQ!wW5q!?%OJ}`M7Tpm_))ANB{6j%TdD4tiHJD=
zlx`JohIS^kES=5w-O``h6j9J9|CrX~&g{WE<lg?}1H~j06mb!FsW@=`=d4}3>(8E;
zZE>)+(R5msw#r>VRZ!m>63^njcM=W^;r)HFfV!_ufmq+h>NZ|fRrP4HsC5<{XFj8R
z5gi+lYw)*w@^f*N3o|VIDOZk#nIYd#(-z(Ov`Y|N$$3vLL|k{L$_VXq>krf1&f5iZ
zf%q*-tmY5eC{&gk>cbYhYhBb4DaVe~e(qU1KmR3c(#Ek)CO@yMo?9{j<hCQS_>_}z
z_scRDUZ4^rNQi11+Ob|Rv<)2d*DdQC+M&YDb-E+?$PlO*tcY+ZTJ`F~>SH*#5i+F;
ziz$eWeF5E}58qkWsy`Rs7SLs48!2+x(jEJ!y1Ow!=617250^24^z~gAfgu^-j~Eq-
z*bs`o&ymf6x?fmW7@+Bm@WJmL9U)5W=luMnz<Fx7;U?%5G3I<-RK{d@IVpo0$Ntok
zR5&lc2mTP;5@?1ZzJ8VXU3J%Cr&>f_e#n5uGE{r3M?j0z5t)B1`Fcv-y0o(Wuaevq
z{tBcdzj__KpuK0tiz8s7P(Nrx*!u4gB@1xBm=A(tF9uB>26cV6bBlg>+rXK5eAM5A
zzW0}kiuMl~MNf|^ii~%L>T@D)x8qx0h;--9EWQzbu}|8U8cBYfA!PlG&M#jyRf1r<
z;QwxHDJGJCc($4?KeZzqe#y^DQ0!Y+#R#8?!IbXUxN;HSDqe2eALq0&2NQfM294#a
z6Hhr6v6}e{{gZ_iNO<z+qZrM)`l>eczdKk4sMX=&=*7i2uBjP+zDAG<h0I0>lguT#
zZm;d)tE!d?+;9Vo_xaET%X&fTUDT77fhn|5>-UWQ8d)o1Hf$JFX`I+eO{szrp=iO$
zt}Abz^1V)-ia#LKHa2hn^{Nh!^#}KKy?Sv4lki7n7P(wF`Xj}aL~eUhP*}0j77QCK
z-W;FR;ID27ebAvque;U_et&07C63AX7k`V3>+FI>c)73g(Tbu*0Tmrha=&;E5sz(P
zOVc+I6tfIcEf!sXzLFj+&l%``Osvf|(Mc;)6V{QWH^h<~|LEdHhX0L#IP@8i1FUeM
z4?-#@_t<oVCoD9PQ(%Tvt7r6w*n8b^2N(PfLHdJce;CbE@Yh};O-*g$mqRz_SOjJR
zNcYi67U4dw1)x}LoR6D0(c~z=I)|j57FbvKTz1*b)X}MQ_=ki8bd8}X=wX>4BC|fQ
zPmS_5KEl27_LkMrg(OkxFm-PFFVP>BR-B0SmujCM5^lDwqIlgsw$I8n#SNiR9DfYc
z5N#CjD<gEw|6Oz}uk-J-w<x8}XR(vCwhZ{`KDXw%@!DrU_PS*eLb@q#scEQ2oX=E6
zDfYY}FGO5fnMhnj&(`Vgw~~_Rn17phxwsHBEkK6McSNl?8UFKt><f#76Ybh$_BwSU
z>yna2B{`-u14sfYZ);tI3l>=zohYv8%b%L_P#JQw0pHfjrw}IF5ZA!!L$HK_T;~js
zM1!M=j@7{omW}$UzG}-88oC^b(yK$}u!P`+WYVjGvab$p>yFEFYdS5fzR4&)(`d$W
zK<;jCev2^9B2o_q(r_r6eku%KU0o@IR38remg#8?(KtFWRrXcSj_$#bJ@FmGu_7oL
zxpd5@@S}e=qZ*fU$wt~fKoQmIOJZz(8)d3S)9rj!R9>mIn<j|&wEwXtE_YrJxB8Te
zbOG6!7>S{->=+JFXU^~Rr$hSY7JnEldpp{jLnQnecAMC1R5!~By)&v_Vfmjk)fQ6m
zO{0z3vk9ulk*28?QsozYd6Z+kS%uvdmTe^VPp19q!sTRfD-a9GX{nO<()sz1k$Opm
zryt^1n?&w2KxnL%?jZihrI`&IpCr&G(l4hM@zZ@L7S;ZWS8$W?Szu>O-rPEOYa>X$
z^a)D|Etx2$OI<z1VmSw_H&O`9$WuPy7#T6hyEb9i@B}bII$PiIP!|UgQCBeOO)BE!
zoVei$a2=%&aaQ_oQL?U%V&dRHTb)L!(t<cA2Pd!$($dlf7(rG?;&G~t$hDYyTw6CV
zjd~u6$C|;QyG<<FXa(59(vIKh^X}{RE+w+I0bKSdEV!!YkB=b@8UrR!$f3L1i>FAp
z&wtI$>V;Y_joblyl7$1tw;zKX&M$-9x#^#57!EEHRC7AabtsagL<M5p{IiOEtt$EY
z%#@YNi%&g{<8OGqN5L;{Sp9)A<;5?l2O__G7qohZ$#3X~6*FG_=gG*o6N~uY>Q^qZ
z@|pU*L62MY3|>2hG?5g1KwIraax|PY%VT1xUbY>K!Ag#9Sv%Ep_$-W-@Ws2AN)GQ3
zty>VC*KWww39K|(QpsSNL;+bRfOu{-{)whh71IfRf$DMqAtc=s_Tjqv=IwtN97?r^
zwc&_(RFSOF-o*0F=`5;8Ox#%U@^srxjVKTA;`a)4!UQL31qz$B7>msRu_@#!HEDWY
zy@%@m=<!r%XP`fcOMveqTwp}x7Y#0_lHnaTEDTNs1|D?ud%k6uyi#W>-IT8~(U~nM
z-g#&{eV3!kPJ8mN#v$ptkN-E`<rqc9aq)64OlDg^owW82$s~l=)o(%=!q^nFqN}jV
z#dOARDoPKOwsK3%?;S|ChY)Ud1=J^<x^n6mnuiIg7yl_>!TSvuFC9b@w(c3ti=emW
z8&`?16>?7Pr|;b5;Iewf5?|AB6%o0g8TgQqoykD#jiZp`33>ncE#XJO>wTSCU#b$~
zyd4!s(L7t8{tct;0<KCBRg#l8#5RRMXHwo+w8sy^M#HPBUYU;YhGk^DnsG0Q3f%~!
zrpuWsf~Wg9Ic#oN>iyPf=3>?jedEALq;)XJ(!+r=<3R_oEQIMUnnuxPZyq|;AJrqt
z?Y3TaAF6Qufa4>vTVnicUC?CS+hs}Bg0cjMK*(nt!}IhD-|*Ub<49Daq?ImnCxspF
zSES;*cW;sJGqjd0e86tYIATc{LOz+@x)(J-h{|&?Ez~PirY7PpzVNRnDWdcee||g2
z5SNhlLr5+aZ%|iPRYFu(PCEH@P{5+upL_`yR-CE4{4owodT=3`Jq}$YZLlys9zCqs
zX+BK4M%}Y(sgL?@fhI|O?MIg#AI^Ur>j}1ggs^7PepDUssZZezs?gF&DAyfZ)6#x8
zJ5SrXtiS#RMJ~=iDF)q{P9u#Ax8On92^>N`r2zMDy&;;15Xrjr#lg5gmk|&3KM|qk
z%{eZzPpaUi=*Dkk;@RLw$+HVPtz}J?(8p+*T{iAJeO0&0-uj3g-IXgIH0QmMI&`9Y
z%AXU$^k*s_5mnaLAC7>372!|?pknFlkv)0lO2uWo^b;VoEFhmV{%l~srJ-J2$yAth
z2)|Ts2?q-&xvBU|*Cro{fQ7&-#q+X+deJHOQ?q4M5OSP25NY-7mC~KeM+XpAq|{?$
zWA|r>;|hfmwAH(Bu^d#uGVqU%#)orK%<z$1y^AMJyeA*<FC98yR~oZ@5yW19DsKF0
z%TJ9okhqWMbABBDotX<@K1&4sno&%VQF&vF$o7E;62clJj_U1@<m9Z$Om`BvFhey{
z9@X7<vARCghY98b%mrrUtA@I~>lqEC5DC_hYPwIUx|e&8?3(_KV$2{JZpZOsCQiRG
zuy~HUFvRf$vun4};sf!bl!FG-Nkhr^%jV47#3_Y-6Z=gLf~K%EMZxnLPJ8YBT@us>
zb}d8WF>~%b_yeQCp53IvaSFn29{=5c01;XIxz%9kxNm^W*=+aOA3GNkjk<{0&tDB(
z>AX^2fz7EA)LKxPzXI0ZpW@=R?mxrfgH@#{$qhBW4QxpY05EOqS23-s(Ec0wb09<f
zUVgHJZhvs_e-jFR2)eL0IQcpI34wElj6OzCs8LWnRQa^!d6&g;506rE2S`S5jk@eM
z$6b<mRr?exoi7~pVZ*o^wk8RIqaRjB69cc@Z;AAFFI?j){xH|8yEqncGeMiN;CV<$
z69#kJG-M|xmrv-t?g_hP8{Wxvyy%BpJ_0e|rKNnq5(O=6v%mo0lCH*RXx_`K+OdGH
zS(J)&W8#gfu%vZIJP$@0Z%Jt>&;Z-O3<P*Mg^>JwPPocJ+lVQ-zBJCf;Xa(|>bgb^
zP1QlxrGK7!S4aU*3$X9YPzlWf;VdINJNx|G@WjOT`y@`Egh`w~L+H*cU}VbbWiH78
z>bCG2A^-g4CoW^G79>V?p!8nBfkjSNqu!C0#sA*^&~<5Z!l+lTmex!T-f?2ktywWr
ztKzc7V-jAxxj9Mj9tzoQw2PplYv6N#XRb?HtmOg9W(hCzcOPr(qa@?X*DMR+X9ue$
z+Px87d$gzeWZ&nHOB*Em>zzSUinM!hAg2_VQm$iZ*@T|^bSNi^iPWPgdI~P~G?C<~
z><`Gs|7MemesC+(ok$mu5*5`xS|3L2iLtRk40#{zr8+_hJIKO$n$;brd;>*?zIkDm
zS)dxW1fWYaW))_EJ%_#VTF>I>pb+imPYBkn$>o7i%_o{)2)xxFe2wVq^OxLZp+b_*
z(K51>YDYUvb#ydT+sfZvH*T4#b9vFl?ChJ-N~u1#*mifs&_606*>mbw%jV>%$Fv#f
z{p<Ohyrqsw-up1F+}4L@s7IpjTTD!3Z0v84&4AJv5<noXq#0~WM&i)E-f#KY7W<uG
zZ*FjA>`E~JcBj|W!^0*--tBwC8z=n@{)9*~mo}fHJ>{nlC{RMh+Wg+z?p9Q$LZNJ>
z^N@6h?=3{G(A6z_r(QYP|4}*?ZrgW~ZrK>^+a_$Rar{tUaP_YxOQ~M<D?=W-d3y>Z
z<{UuoSdq<=n8WsDV3St12A!k5y?>Jp|ay$>pK$$N*>65v|7^_toJBLR{|!ke_DX
zgIYq;;W^v{VE#_eh&Q`h#SxYioNH0KF&HP>a*02YOUSo<e0XG=;fc;pVt7}jF6nEn
z+uK3eaeQK*%FxGsp+sKOT3Ve_@#BQ}xwADG4+>-zi4UoN)?*=9D-d+VT1hKF*aD<B
z92#706O&fYnX%vXTex3i{%*?{Q(xEMAYY9<2>h^In&P9UhbvzhXY>~=Y*^o-Te4ik
zb+k>I<#he`S}tp1_l60A{tzfu4EIikP<5a#{h_mnzN1v;fOSt_f4F1q%(s%qKsXh&
zJRt6X=g2E4z6dnt@I}qT#R-v%aa8U62qwddoBGr7jx5$fpea=4l+k{LioX<`Q|u>e
zenIP%O|EDY^kBlpFXhH^r@rOKuWAmYn~MILX93yRGPGlmeI%q?q#Mp8Ax9_rm!S>s
zH6;^)Zed_M!RzDcBCY!ZU+5)VRJHzHT{o%=IA{}Ymbgx@%%OBo#_@7XF89V&EiLk%
zl^pl1r*-wW8|}#8J|-e&8q9em^x9N`xhG!w^8leE+4J1XfA((=Gk~yyGqUH#M=B{P
zX*B#3hw?)#V*66iwL2dwRm4(Kk=1nl2yzVF-WvDDm4l+|6Wgx|idglVkGaw;%qD(g
zVUw}`+$_tDF>n*XZ)qkoT<nUpv9Z=Vepi;S2|-95CWp$&k5|3K`+mrb4oJp-xrOu`
zO7qM;Q&w4B%tH{TBfWu-4^h7&3<C7@^e$mRct5_Oti62tV4x)NTfN}(=wBXtueeSQ
zTRzcCSY3(*)VDC9G)ZASxja1jy>na<6U$vd(|%|gTIWbAZ6k>)330Xcf{Y@`o=n~8
zS<eUM?<n4P_t#?nbs2d#ao=`oA;pdKu=Yn}<?#3VQnP<4^ylox0naxabb9^?mOYLz
zN^K`!g_qO}OydCn#=85zHTiT}gljbBSIv!AO=BpyyEZtmI@R<I(~h^ZhoM>OAA^qk
zPR#1&7Rqd9z2J+_*;+?={949BLmfZ=c<LF3pss#iUCB8|Yt!3xqCnw#jG5*7Ht=qR
zo9&0~F@hUDG@rVRd-Zr@SbamxPq6c^4|CPf?rWlN`GhL&Jd?QJ^Y7MdYi*8INyS@P
zNfNY4S8qCYZ(}WPoZ;BJ?$BvENAvpo%u$l}&BF2H9MWnptf#>d-{b-^r!C+&F4lE-
z3krTyIY;yPVgtkcriH!Pxw%wX2uvdnXwzXe>Q4zG8!9xt@7=f(yT%<t;Ipyh6>%$3
zn!G>Hl3pg6Rv?RVyP8TLHSXT+?wwH_&Bt4JkOJJ|yy9xm1<50_>ly-yRhlLyiMTC|
z`Hd`9G;Vp+*kOfhrhoEEEz}fro2;an+%(_Y>J(SmnZdR?B1U@taqe%-Bdrka#@&%~
zG++7ovr;{dan-JipBPsUoRd&ZZCN-}1_(KIlpv<7zgSl|y3286<S`!~-$y)*=kIX#
z?<RtRk|?>$H>&(K8t;Smv%Nm2S~E=8f$zq6*67BRVspz2RoE0xi==Qboz5S=!`vdx
zR0|Jk@uR7<=A}ks|1pnvIb#@hq_?(Ie^lg$j$E+cvlIRhGT8O`Q1Kwub&VTaHZY}Y
zZq|xpb+}1!CN;L~QRR!qIV;AWALU>*h;V-BF^E`?q58Z^@(uHlTGzN;I6~<&PFCTp
z!-w0w{=(Y5(`mal4z0f`u1&T!()iRd_LzyA_5zDa%RVJ$+;dW+cT(HVohc^`xR5ux
zd#XnN{cleGQT+#jP~&;YfND&gp}C=e%w1-?6)C>vS_Z!#o>}d`thnFK%*E#Aq9^$<
z`SE%1jX7_4)weu<rwi1t*@LxXzbEbsG@|{{JzMH7XYuvtSNsVLM;{iH+R-h7&!Sux
z&V7vBDweY+{-JLSplUX7|C-!a@7U35@i<yJ<|}caoHYGLT2!=hsQDZ_npI|Ja!}lZ
zhu-20$=&dZo}pvON}8OS`$8fn<q5;VL+KgOI<F`0Y6<;Kr6k+*35pg|Q@#g`rhVFK
zo(1ZTGT+U_dF6dD((F%!$O&HO2QQlwJUbMqg_kS#U_V$!`sKS)zin8Z>7p5L47`v$
zEDr7B|Eh_Kio%Q)TF$xf%(pID)2#Xw7+LHjS7?3;jeZ|zvv9vsAQ>&xiv8We-QpOZ
z*9Nu2_;H*Q=pM&=e*}LsybcpkQP8-TLE|vz@Gj0+`qu9#TO=pUxX-(>@*ESYP1BiX
zCoIT~^P%@6=qpC7$}8XNRJfEDUs|0%+@$LwIeG8nnyN(J-iK>3t8DUJ<w8!+$d*4K
zL-un<?Ozwo%ukqhI%Sfib>S#1t~#^3BVSVpe`VvY8O^CG&S=Nh_Ah>0o!hu)OM?5B
z_)w7S9hPFDMjM#Tx@f!pFV5aND9i49AAJ<0q(Qn-QIG~fQjiYmk`fS=P`XpPLn%Q8
z>5x`Bq`OPHLsGiotmpHM^P4kg&L3yy^&K7Mj(zXF_O-6H_I363wSkF{XvQQ*YZS2P
zP=5B|l;W<#H%2g<FCgFWPkOiQaw0F4&m_G~d&ii&$QEAfar3Wp6>Fyf&lipG{Q1TY
zS-GW^x5;8Ol^^(}$Y5B=+s%a+Od979KPFi@aeYgxhY{%mb8BX6fZ*nLj5gZ9t}c)M
zYHpFW>06hc<GDOGcuEhGy;twtc}7P(|9msF#5A7ucXZ%)ZTo{CgB9fpp0~v~F=1ij
zBGxv>@OOS%e9$kap%XSt(X`AALB6``r&1NYN8(+MJkyEat4}%5@+sU>)Z~?>JQdQm
zH@Z&$t*(u?Q$9;PpPy|rI>QZ2$cFN%(dpjuT#Px94hRasU}#mbnqULf3#|?+8UZpG
zDjzJP_>0v`(d$?#Dw~={2)t<e-Ou_o!#7g3&I6oR_o+{gF27UkwDog5d}iy(Ht{$+
zbRa)T3|>Lj7>k7FiT>+E9u{tH;?S0M4_@i2$3ME|23vos%9b$<{M8{F8>M}JR5oYJ
zAJo&{7%~)Je16o#ca&BACk*G_TJu|3S|LgIwc9+F%Q-vBGWQBBF&n3Bra4kwp2_te
zuASBQ{SG*8i#o%3D8}TvxV-FdQ0v-pU1z(D1(j4}-jp$EU8(nHa<XZ5mKI!k{~czC
zF<}nyjn5gY2EX=g#@QSs_LpSPtG(7s+p46(6~WmIrM{jKlPY_^a&+ZpN=LQ%BkJR~
zP%n1jhHpfPeOtoWx<p~?i+IHnA%XM3+VwjWsRrrs?Aa;Tj{{L&kq{eiX4W%bglQg5
z*{q2@*c(>x$=c@6wl)+mCUe^n`e8ju``oY<FN@_GThWC37R=A$5z_eY8apcp@5*-~
z(!*)mmuTte4R2^tYy@c)lE(0eULT<%s7_fhD95s`m$RFdyq-VHJGy7JI-B$lJ(W@Q
z=gb>L-j@;<?q!>-h(zkyA7SpqcY^zCG*ISta)Y9>#g*?$)Ooj}(4E~OBMbWd`|0Vd
z9vkT|^O433c^)q|dS1*(_6^?x&zoI~w*7@_jC!@S{;9?`%aji|%Dh;#brKhM)Q*|i
z^@0yJZ(0gC6Ma|dc!|9>P)0vPJ%;n^>t@mGG09)YPFtQl;%OhFKSrbDX`w4nj$?Xx
z5_#vyAJIKz%~BXgbNGTl3`skD#LGsvW)?1ZEd=4zrhzn2DTg|l;T`30%Yd{I9C{gZ
zHLQy0`J?Rfe(7q`okp;JJo3xIn1^7mEM5%D@rGNH^+KN=g@@FRcY*fa@y#iISM;vd
zAF39UgLnk5*tV)a(B8jF-4mG-vM^EV4zTSa#W|(PDmQ5KlQdDzD`RcN)AP5|yp?^&
z&=fZ5)`IZ(s89N3m3`g>`JAs+Nrx@w!Y*nU^y>c+Z+Hph47@p@Sc`07X`NqL=6G~%
zpZsDn&NGP4?zEfehqm5TM>f~{?T9}P#$uJr@*;o2=TbgqO=$H7(4DN<<wsbFD+o|L
z&Qv)*WIdClc)_#R??mR;{%*F8dUSLYj6(v_($XN*`em;<(Apm+RX80SOR%C-eyPpT
zv0!6zW9jw;rLpo|o@N0uwdJEv{8OHLRsOSIqxgwKo5@5gSRJXV^N%RclAY>3=T6pi
z7~YEpH(e!X8VwdXYX4evXuMu5+fU$6r$%$K2r<zTU+Q{7^;EUvz=0u{cuOm$UUYOA
zwpteUbO!yl*Om{&_-tEzj9+EEj@PX-KXaWDzEr+)5_{fqDH~(+ZqDaPUgpB?NEU_E
z$r-(mg3b3LpTSO#0k0><&kXTiN5_B0E0)1F`i_6~PAEDy8c!u>fYaf7g^b^iuo5N0
zHidPc;!oAaU4?H5X!dTdthf*FS`WUxE^wgYaJzacR7sm>6IK$4v6m1kNwKxsRVj#1
zdg)3RUGqi!bf?jn)30TMde%)W`t8&YwihQ=iyd~$zL`<E4*M#PUYw3RI}Z3(K_fYh
z6Lh7REJ6)4+stet@~#3#jz|gLTI{`#A=sM}sN*jF6^9a~u5XY26a>l1v^Bj6F8akr
z{{2havQOJ$<LJaqe@XH11?H{Btv3lmKZGgxvcu_ElltGhBAru_U`TYXjMbq@{^Acy
zK!%)UAK$xa{s9$rG8wvDzoNRQ<A=s(edMh}kKDubyRO7Sw-t>R-{uc^#t2I&YrU7M
zYrJd@WNOSZJv?|;{;O1CuBJ{~;F?{ihLX|HK%iLTPJCBG{A^^)wkUg3y&}q=2_4P4
z=$j!l3~w3uvXq(5RaUxp(GxgINdpevW;*y7xU!8r40U4Unz6Uql<%9a+BxvJC|R}j
zU%sv;38`GHGRm%}h1dyVBK+QMiwzyJrRZP%vUBb8N~tN?=63S6x_;2|<g!Xd?)bTW
z>jg0a#?6k~kIp5kJ$0-UH+?FTaa*@6`u_D?gq#zxs8)sQn4LT6HI+H6j?B#VF7B&j
zy+6Gk3vfCmVK9<a+dtBG-@V*XLm>QpjKj8feH%S?naNse8Ax8cA6Smzzj^QXEOma;
zs<7%;f2OSPm)Qf)N{3ax+Q?H;>el?WVu~%@fV6BoXWp$yl&7givrfh*FdbEBe<TGf
zJ?@i~>z4mA<4AD*P5>`+<$CQ?y$j{IStWn%7Q+jBt6ZB$9!y71>t%(bViSF<vuIx)
z@1Z;xeu))&eR+Pb`%zC6@#nB-^%sE_f$wi1w!e9LOTF`uJLA(TF8fO9(>4FQWrQXP
z&lAC7Vdp3O{CDQBH&Jo9GsJ|SULQ+6k3+n<s>Qp0oY*$=Mn?XCdV+AA{8oh<H=)~O
zeW~wHFEz2c#-4juKA{cX{mg%%g<oLUUo+yz(1EFgPZBy%CM*1Pb7!rk?T`K1ecL^`
znS=P}>a#qrW@y_xS=B2F7%m0R=d1Ao=H>p`xu14%{wia=#1~u9Q|7NTD0J1ra3Xc1
zIyKd-T+Xl(>YW9D+(m6T;Vu(<^!b~HxAAwfEg`cBL1Qv^50BlGT@zwb(x%47)IA)G
z0rB=GeoF&460;oB^BYRvhA2($J2cGd7BUDe-P)x3(O)Oem@m@RF-`(6IoQ#((?Sah
z;WHZzWn6<i$z|*7r^-|l`i@KXI<~k7rR2MFi@$rwE;MxyXx0ktMTH7pW4cC`i4+x=
z{QjKsuk$ubvE#AnA7GCSx|63UTf{l9PF4lJwXu+eDJotH@&#x!w3PC1tsXhr{1oeI
zb+B2lT30-~M-dUBgbh>l{@e30uf+y`e2m-vZ-@G5?KGAAYeT88&aR3&&)?3B;Q78e
zXqkGPY;mW{zrKL}-paia)sp#TLt1Xn1k~g>18x2_-PmK51VcYjk?{}xlzqR`Rqe^g
zZ^$39{?0Y4Uu>MQ*z;Vw3@jgH*3^Kob2G53;e=fHU)#FcgLanIpDrH7#!c$oI43B^
z#pa5?lYZq!ilt4woM{e!(PH=afGGX$YkF=*S_2$?&PCs=e`f0Fp)<1?dm>o3LAiQ`
z=bK1Kpn7M2Mm#M^Az9#veB|6hPTPx?<IHqFY-i`HwO59c;+$Oa4%1Qhax*+Gw_j=}
z?DEL<Ztzderv(e|(p^X{`^QEJOGG^+F@KETi_U^ecP1Hdu`{KLR}ms<OuQOIAD2CI
zNhfme_RQfI-VlF$eM*pD1XuPzaGO9^%TyR};%{!hvvh}ED1FnRwl4nm{oc*sLXnx!
z^YYZCE-QmUp%19uI<z>y^Yi-VUbKnjT_T>o(&n-)<=rSa$=nRPux(4>5%c71d}fg1
zF&6Shehy|TMqZK(E=0|azm?7hk5uN*bWEyVjwY}<TU?Rc&0_Jy|DL_9SC>NO!$7bd
z7<>7?{K(zsx*%X-Qt?ep>p>T(2|g7?WVV*WJD4bB(^>b9k}C~Y44%dQL9^d|Rz50%
z;Y#fL^T$o+3W1mF?GaHj<W~ZBe((eg@>4~ODjo#Sr=m`y#y)R0Wvo`Za{bbYSrwaq
zuWss+V6=BUXevx7-}uR|WuJ@VKmDk8r7~YW`zLo&w%fXo&Uwf3^u>EA8r<u><cpmk
zw}B#uk_N%#$VUI#u_&rfSVqNU`4eu8ml-QcF&Yia)-PYTwgqTpEybRMw4m=EkM|Aa
z`jT$nlGG?c|J^x3W#}nLQt$4hu+e!m96iPu-zr%vVeF1Jy7Tq+?EP(Lnt~VHdsCJ-
zA};RSy%ywpgjwdONk;ldaTW8dshacOo`Y{>Aa^PeH}mXMoDvC*)`4EEt)!8*<D|aa
zT6VTT-{t)P<Nfb+KacjKj;++jlJE$4Vn1oA&wIYI+L(Nt9|;4hIk6<l&qEU~tUvJc
z`8&Uig!jh?V=|Ge6BFpmCPNy(e);;9(>{B*+f>0k-~;0X-4o6{1>1uBm3+z+`JMX-
zypGf)p4Vl)M;0<XF23*Iy!!w=V$t;hN`~np)^6oT#EeQQmj`-rB=>TZrJlEVv@d?-
z<}7i#T`^j6E3ipST#m$Z+>ZSE3oB(7bMd{}Zhs3_UF0%%93=rtX>n!<)l$HosKflH
zyK=ed&73C>#F#Lu?_g4*Tkuy2(4Ct;&sg4g`~$_wO3U5N^1D0v>WE%^mj5|NZAY6-
z#Pg8{aqZ^=_?RvK-Yyl``V`3g$;ZI{Jg#)*ByK5C<F214B-W?E?(&krFt^X;c^RT|
z{AR_djk+1__M!Rrh(MyNa>rEn&zmRTYA$hJN9YGGk?K&i9197NGenco99rajNns%*
z`RLt{Hfdf{%eDGksCf<ZE9Z|lc0bO~&6g?P8ofP!{eYQde(<Zzukx?Ens1;ovv3lN
z|MO_by?I|uKk21)d1ia}!>9de+LpqEsAAD)z9;!-uZX*QPMo6?{p*#c+cK(`>(yK}
zMG8cNr0jE^XeOOi7#Tdp<Jq;ng@RA=)o1p)F5tSr-*}<_h-@U6yiv6vo2pIuy7lCA
z%ZQ)$ii&nquwc~b5AW7H`vd05rR(~rHzx-vuS;q17k8WRL{p&S(RptP6O67utn?(M
z!BI?W2ZvjcZE981(Eh3xu0m)snl35aEaDX$T<U71{#5$UA039x-P;$%XE9Q0KWr<h
zYOY(9Hzyr&KL4#EpEMm3-D#Q`pkV)0YO}uPLG{N)e-X8yFDec~yr4`oA)v9q{Ec4v
zqsp_M3e&U-7FXZi`51+aqZQpbAu&$Z=hyj-muKgr4Z(Tz?ONPo$;Te2I$;+c)AYo_
zHgi)=SmpZF=Uk%;wi(Ia<t!mpz%o(sYg_hidN|8hn~o>IYs04*lR^XwR?6l({w?N+
zr{uKXg2q`z9+p~8lrI{+d*hF@U(U!Xw$GPr(6iCh{Ux&dRS%&u`RwBv(<1^ZVoX?j
zMa3hQDZCo~B60}C@V<SVD0We4xle5xFJ!+O6Vfnyz!bZ#yTok&tg&<Arq>S<|DVJ?
zv|P@Q?fpNK(~`fK!9O{x?4p%g8{Gf*DyW&z{-E$|_h!Jcc|@t$`~#Alu^%<2X;oz7
zleB6iJEQARZ^V#ReSynmi#4a#cWZy<Z-f+%`C?jZp!!T;icFB<kzVU!&|MkwXOU$%
zyVHS9|F)9fSf5Fads?ctD&HmUvI_XY+Vc+rqs`Wp-H!>I8$xWPrEQK4g@zFgL6MJv
zqDv`t@{pv>Q`ScpbmuH$+HN(QS-MVkQ~EcVF{XGGI($)1-)aVeNx*jP*{F((i{n#J
zy!h(~L#c0LTjp;?<mCMLNBFEK|BYg8AK6kjla_#-1kN));_N5yd;i%`8=1a~XmayK
zrg7Z|LYouL1oQOlzsdSDvS@G4ZrqNaaHLS&aot$w_6w|e`ob1>eb}zik6d_nfAn(#
zpADlb;Yc;#Cte$^gOn6q3)-nazYtzD6)NWMcRF`n^mxpbDZ3u8y}sIv3m3B9n@~$P
zHNQ@g7%O&o|JUEJjtnIwz0T_sTV^C<Kro>_(U6O?ApeMsgtjtj2yFY)Sx+*(_--)q
zC9`uQWF#e87@7m_$LMJO%YAs1)Wx!}y%^y6$#t%`<GfwA&-YEKtFzOgy2MPR)LQr(
z=AAdchYj#U?*_TzqvXVV-w$#myPQ|H)Txj*SUHG3$4D4OdEQ&byrV@Fyh~o;@&tRw
z<1uQzrx(?&TP+E@VqP^tAkz49<OOPwpK-HftcU8?WG&Ux`pO!H?ZYqqPBQXSl{CQ+
z<ta{vTff}$#V7yfmle67F{5-npHD|1zYEbOjMIMmZ=lMepwWiadL(XM$kI=}VW+~0
zfy7IX>3NthU3}j(Ed(v(xgWV%VQ5-D38cb7<9f6;+oiNrFJ0gM6vC{dCm*?|L4h+#
z-bB6Kb5DY!uXXI#f<pK296ct1e8i&?^->XM%A%oRlrRZ*rnyUt@4hbHY~u`VR%%2k
z^~Vys`M;als#L&8=e6QCRLP6I-T8Y%P`)Sef;2=zrf*D<R?b++^=LEa9}Xe?h=14e
z?}^r%`&nD@eVv5laeiOhR!r6s9Qlhj0y@uatxFn)D?N(VlbV<#<<+9y#8gbH`ljpe
z_%9f9wkm9f)tBpQoa0>5<{2=>)8j4LTx$}SQJvviDg6zZ^|~nZVeN98ZmzXtIE4(f
zsEh|4k#3qpnyk$rSwFtP!k(S_PTK0PC8YUVHm?XXJ!(n47b=(j;#BRzw%;5iNf_pC
zg}+jOi5l1?CU+pesaHjNUBI4{{pAzQ@7%u|Hjb;N;i48VUs}1>U3y^8MW|7QDu+Gx
z(4EVV3}_r2B{ah%udv$_aby=&UJ?I!w!oF%nrSqGy-ZpwE8p5UGIUEdm^hfALz~+U
zg>AF;zG3ngZ7%VOOtsh?lMz1Yf7?vHyY+@lA7sgCAR+sR=k$!h^YUx&ly1aGSH#@Z
zZXktMgr#|`*j5~~9y^I_f0ZvDq*2)N7Ix`bD|1JOGMm%(mEA*|$yZ+jhL<dV=s2qX
zeWRE#P6SjzluWuzSl{oyuImw(YrD^ZeFiTj*u5&AOwwy~apK01k5}LN)>5bbgdlF$
z+Cf5J3;oBL{ZDuDV~quCk5zY6_d4oeW_u!)C7n%q2wKBVcItu!gW}(qOeA(lV&g)U
zdL=Xq5R7i+zazY?eA||dC9J$8?xi!{6D9>(n{24+36T8JiMqQu!{@aEjHM~~fi!-p
zwOK2QSJFS<`b4uPF$f!aTlAR}UG1?FV~kksDTQ?bA9zT8lhekf(!X7ykA>UR{I#nH
zlKUR-*U0y{)w|{UXEg`I1)tq&q-`<2yYHQeMR21yefo<!@>*9m)Wu9kU!_HXb_K73
zkvguSeS$p>n()M2(bBe!``f0oDQy<xa)as^SpFE1Dl?`rXu;eDF)2w2bKH0Y?kh(A
zra<I8dql{15U`&1iCOO3bdCAqfa!7%{*b||xgn8|PhEV+Y6HGLcGU%QQw5#p9rv3v
z(u@`bK=djuC56nQ{*n}aY0bOxIY|e#5c-LzU$T~^E{*q07dMvgndMZTxc45(9dBul
z5dc0=ue!Pjmge_bh-NlgZ~jYZL<V03xhv!cIvl^!ZS8Etz7*hXrM=eEa+|DJQc%#V
zDD5tBn%zdTV6po#?ID|ojwN#V#i(_aUcaT_ekae7y`+@mvejKwNrvw8D}*Oths?-r
zRD_I7Z)2M%b$~>t^};T9*t^9@&itgs$h^)Z+Oix&Qj^KYZEN9fF>xv_yKVE%(O*Lk
zE^hMJI<zufRyFnIKYqQf>EVbej*)}4%V~xs{bJRc|E2kT*~1#W{?vR@Ttgl8_tWz%
zp+!r+(-^peY&oM2p+t(utscCdxV$X|6g)kN$hFoU?reo0(7hQLS;Z!18Dx%W6xfh&
zW4rHiS47Ke?$h7|o@F@BK8q4Qi|TA48`ge^y4-J;!D=&BXV)<_K!>cP)4X=HA_XXD
zkx;uBD$f@3mOC$~<99is`AEq1>ul3e-@Vx8m*eG^b+^hCWx8R38#~<Tw?qttZmy7k
z(`bU)i{W`?84|gHG!+yoY(d{InG;H)YA>#PJ?C~S_|;^ItR?*zWIzAyMzo{*xY)T!
z3h7aEWLv0BxfA<-sS$T};a^;YEb7tYJCTeZ)o1$pX?o~L<Ov9l2~}JBYs2wo$cNE3
zj`j2Gb#HTv)FlezM=}!b_MBb+Ubf~m(-yqA7}rhM?J>j<Bt`#A958bzw2My6wDx%A
zwKnf-jye%Xn(>=ki5IjLv<%n6d!}d$TqQPZ)3R?@wnLbTb49xun*WSXPC}U{-*Bs?
zjyB?^^R)4n;<+YG%c!K=ud^D?{lNL!<gEG8V7C+3rATwD!i_(U(uLC0g?m={fiD#O
zvMbVC6wk%-ix-9o5%<)JBYuv(cdeToW8kospaiTE>%?nU@Gj8RfQ{cx;q>idh^3xg
zm7YZ%&@)mt#blFSqLB$QJ!s>s`D0JL0J}*D4;6@@dB0$Dd^=NhgY6>g%Hw8aRz<Mj
z08L=ihlH6FN>;i4@IN6P^$m@=>5+Y1CkJwJ^^QQO3Y=a<R<jPc(qi^~<j5Myda=W_
zrp-ZubBdeC{>ZmT`&`5jQM8x$tf+_s1yQ4*QmeD?6{w!HSi*HX(+c@x#eWkhi^MiA
zr>gd_`@Y3=Yb6$%&RQa5ygrAbiTwIC6Uo5ndb-#-Et8>^GBvS}S$Db5b5(t$zSu`L
znnqsd>BJ$Rbfq)z8m;Yf)I&-4QkfEXXL??4T0UASlZ|=ZsFJZe+X43$qrSxH&QJXq
zl6DfOe&Z(dnRvHD=frb=T<$y><=%dG)mT~Ek7ciCN71uCM1$?T>LO{jC>AdA-^ld!
zN;kQ7u4WV(b`czYq59X>tg>fXa{ros);$c0%5?PdrT4GDcd*mP$js?<MHAYK%MpaO
ztj*L4t~2qll)oRC+fi0F?`%1c*rGudtbAg;H)h4i!mA7UbXEA)`Ug6yi^@#}f|4aF
z#5Xj_xiq#=&R3eE2e@mQyQ}R}HN*k!MR(mxnGu556&TSnNQ6eul!suFS9~Mj^4v<n
zr5rC4*D%lirM4tq@&0~@vigJOMYm$pxa7)msyC6M*+sV}j_Z{gngj=eJPzkl<dsCR
z$%k;Iuj|5pgpK9rs0ZgC(|Or%&X74-NilG<;yDPJ8(kc1N6Dr0SFC0>zGL2VrLmX0
z>(HS$<M5R4xU~5nQ0&cIAAja0gv%Ov642;lNdh2O)Eyn_5aAxo&GfQYRDXb<s+>~2
zzx6i_^?+sx&rRCmZQRU5zE!XDm;yVe;y~?3DjWX^r?q7$+kp>hId)B7i>!EDD`lKJ
zIu*BhX~jAbJ#pE3_}u)2u3_*C-b0fIheC)jP7V&2kJJ>gJ~LY$M(^I^eki)YC>i+s
znXK4I>$55C@fH@PogEbXxKwR<uf5Wv^SHZRgwmHS#+H(YAHlH$1frt4dJ!bQ*-I6u
zsc_LDDH<`e4DjI$m@Kzy!g7Ebd8`hp4Le1p09CcgQD+B+00}mq(iUyPI#=0`_$L_E
z`R*YKVg(4Ja>fBqYm2Y$-_$#cmYReU&i}r2uX%-f;!Z;|8`=^XikDh3Je&}xxdMdV
z5=ymsQ)9`}Y?=MXd>P0wAne^H<#V%sLRAyg_q&xhYj>xvgf&?`nDrhfC0oG}Tn!(X
zTn5oXjL7ZQmt(D=GK!s==Ys8M!Jm|goW3sX%MJ1s`_Z_QvB>oY%gQ>(VHBDtG={!i
z-TTb6#$9m>4cjXG-7$0WbJ^(POI@Q^R$ko(Wq2y=>K0;yl^LWF2ChD+tg|Ez=JUb7
zs@W}m;VC&W5fcYn?^Uf>?S1%IIjVc=60`BindvSrt-@MxU)EvEhf=%-sE|8Ipv&A<
zopL+0Mkc=pfBP{QU+^?sxh<pLA`ZD1<gQa@=4GHF+vUd>ua#c+2}SCsrB7aTaXTS#
zs?pYq6Wf<ce)qE$JZskR<YjuwP1<m+`Kdq)uY<^boU4_&o*V>YR#0oJcy>ln^`)JD
zhux<&*)`lhq<(%lZ~c4OrVD2{?vsXhtf7Vw&g&tPL+h14D8I7w&ljetv5xN%huBzN
zf5j@Ft~eupocoVFx0!@yPu%EHh_#EJ3+;YLCn6+EhcU5quHN;ZSXu=#s0GVbIvo+X
z>$;`MhPq;SrJlO?q?=Dy(&%uR8Yqc|6CPwxK5uBOS=x*HSa4ReE6uk4`qkNZS8RQT
zmWG}!$$j<-4VMNvy=q$je{1T^cTJ7ma{j(r_*nYyv`?CIKcDSSjlEDhc2JO8FmTpl
zt$82T*=EBL9K=L|KUEV_^49Z5dy0$?=y-I>G$Dpb_^{33aQsrE)J{sGf5Jzr#b8`?
zC8zxP{xwv7DB7Ny2Y?K{Pt*MG>FL@jF4am_deNqt78>@&L2KJCmy7)&&hWEq+e$t6
ziud=guI4$o)JkxeA0yTTiv<I^*U^Jze3-P7jrSXCnIlWpK0lwPTpa$I@uztH=GBa=
z#_|@--WtkEjl|}>T$c?rKr{4%hPeiT57RdOOgQbf9M{JmY_O{j>SH?#%TVFG&eVM^
zM1!Dk?@Lhed9KizlTS+UujMT^*-Rp#J<9!9Ib=a6S?WE-yTa|7+*SqUyW+(%VeVo!
zm6ek_e$9)|Z}I)=jVOB=)-cj5wcMv`e_&Z@N)vHZL6le1;U)K8By*Er`EOliVWK?Y
z;xCvgv2oEQT%Ssd?EZTC%|@V_VCzdc{{Csj^t+{ryxuF@Q{IPQ9}NlQ14ncDb{rg<
zN$iEl=F1s(xkRY9McyY=IAeQO9<i>JT~a;dOjJ_AMATneQ)!NpAiTqP4hc;l|K+UJ
ze0zABu{Hf;dafeluRvK=B+<WyCD9w|LI|qJJ~xd3=uP<uxZ3AAo=6x8R7%qCO5IPZ
z(Doapt~sQ}%4sg`m$3i4j1KjCjF8S_ulwr*KRd3wy4{h)SaR3M$?FuiXG-o~XC+dT
zoiOophMPa*s}Z{&5%~1g(U_jkRJJ`}gG%s)(aFa7GxOS8PCwp7{$9Ru^6;NikfgD1
z2oB=0`-Q7xLe$251<c$s|H}}Y<nZRI<6o3Qhmv2`_3acs1AdJ*igglA6<f#+c#=$L
zZz5gD7}ViH5Fa5x^Bh`*)ECbDm0{&!Z!To*D4W;7BsXe|7vyy4plQCBCz3E59U8ei
z*6|Yl$-&|Nz{!4_)pR6N@Pr~YSR8XhSFyKE=F5Y%0e+hWRK=e343_ID)X2VPO``_p
z??_MT5zRuuZJ#WRifoDk!hLz2-D%)IOR68smm!A)NerJKj$>5PL`c2kt(S_<rKi0c
zab-CAkeh~D%S0Mefb+@md#Mk7s||&ffzT&%r@~f*IE?ead?ye2q(6VS*U0p=h7Mc)
zI{)#t<_P`@`~6HsNGfCc50LaU8qQY9)+(eSVSV8j6olassLp6MVO3w3jQ--tG9XPy
za9Q+fIw_@TZj?Xq7ty=(@?l-e&f~11X#(o+B5NAH*UVz1Dzx@#l8RHo9ZxQIJZiY}
z1<}IZhQIk93_TAI=t<<Fl31S-S@oQKCz=K(GwtaE@eSAQSkn6v=<e?B&>bBP)^HaG
zLrO?*BM_|R>;CeD2+kL!HQdw~7EEEeYmE6#G)TjuT9jndJKSX4M96B(o|qJ?*kRY8
zS!mRg<FTTNTJ!icW=}P5!>MpC-kMY{y4Dri*TjmAk1cs-qi<>K7bTIy1hfQfF8x&~
zyn)>IeNCSR%Iu!ypNSG}NoJX*y69_p1d1s%@2~dR9Ik6vPL|<-WUn|JdM_}nj{r}L
zIq)TEJb^>Q9%uIU+fzET-zmcGWW~)jv@iwXJR}b*?rJ|G6Q~xAxNs!Y$;b@<Qesb)
z$>xFnsdkl~mrZfLE|sPwPB$)D-@EaGL8wmEaiYy`5QV>bkxR2j+mN;RkbD-0I<Tx|
zdI&EnI_8!WEnk@73CUf;hqwh#3V6^`X-h=bte)#g|7`N&4XF-V5#xISl+>pK1~wF&
z8jB4<Y}MeT_@;q^Q1&xN^DrRS&T!ja=|_f0cDXwA7l`RkrMYy-@~(lb8jusgNH;`K
zdTWZH7PQ`9QCwPHHUa_4KP9HO6M4*hpwSlDx|yv%`Ll2p2~=Ob7OfbzLxb9BXwa*R
z;+N<V1%euxUoyh)`ALc|y|EDe=DVCX(911<Z(M^~7wU+^1*>7lqt65L(|GqvZ#g@2
zq6)@uOUwOmWUL^X{!}YQ8v0Od>|Whwh1?oWRdFh+z7qIH6}|4E0Fhw~(667{b$&Zl
z!Py!~8wn?`@K;t=&Tt3*)1dONzI=ZF^a0PpZGwlHChxM@zPS70k>Ea?jR=1rHkNi<
z`Wa`T)|;BG5kEqE)qKl$?>H?+A9W}4-UjcpKUEGa$V0qKORxO={pU;jM3Cp!I6);C
z^iENp1z>YlJQ>PMty|r7ewyR95A-MtyPn+8^Kfg|^LxZg7{g~ZeP?Ve^@Y9RbdN~p
zXJ?gSb+r=NOm0_G=WvinRtT{v_GG^qMz1w*m$rFhuNQttzw&^NjSZJox2zeYHwXv`
zZ?=+!goYAOQH6otG&TtKNNH-u)iv>$XO-)tBCr!jb?ZMwVco&<YbV7Rn2J9W-B2@r
zfg9p){Bt)CLQfE;1q_R3fnKnmA1aloCsmqsBwBJ`pv>LIXhvzI-tlmuA+4du;hogf
z)B|cZ@7$c7p6+fsl2A^U4*p+di%GllL!CtDS~MCKf~JX17RY>_PFUseGkwf}gXI?b
zuU7H_Plc<qcV9On-%5=(f33>?8wX8E4(J~Dc+u~zjVLfgzibX72nrAPudWvC{VEs;
z)&t=7398w6j*gDb|K@JoS4>RbQ4W96Sb7&D)bH)|nBnaAC^?B*8Q)Uh@VX`rmtgi%
zm9Y`AStI<LZ1JH+O#$;DjV&W5*O<s_(O=_Y2Yq2NF@A8;?suQk^$@qFhDS0eq8)8b
zE-sDko4;cs3Fe&O#Aja|8ku<hS$LMFnSJLf=aUC=`{7HTzr;0MfM3R9eT5DsN~t1j
zS$BJ)R1M9(e&n?wRV8vtlf-o8oh&v%|0d*e6Txr4hJSXvgO{=tz(_}j@Ve4b9S5Hm
zEK)YTe%&vbbCMEVQ)YhFzD|o`JQaGlRb@w`P7m&H%?y!p@GUk?j?2z|$7fjG+zdk+
z+0QoxYJ-<Xg&rH3$xDT6Ofij-W7QmDkd}G&8td0jHK`~qfHng`6{O+WfyKxb+A))&
zM&vZj<;5#QMXd#a3LdS}jtP;Xlq>=V3*{>hK|d+5+)0+9#A2+#JiKRkO7IxN-A;sp
zFAoB|%&mg=wYOTy0(dR5ca#+-ayGsryrCoP?-N3CgV3-rq*&BIiWthpj@R`krWI&4
zbBzdFcN1Uo=+Ajr_IyBStu>PH!2B*ghV^1A4&rwd{WIdYd24<$(6~a(ZH||YkR(0)
zc=(K#qvV$-3jLkV-bYVWzGL+0j*THl!OWhynebs1@4>LsgXU&T)SH&jbR+C~@buGt
zMPyezIM;pP41jZvM&R@$qo6SC7N$N+q;~vY8ItU1v%ZAlR5(faf<ZV)VAFXxMDHDI
z%^d5Lv4KkM=g*(B!PfOx^BePpCPMm0gsC_^f$#q<m<-NM`k{pkmB*92{ImIfe_KKn
z8Kd7#md%5%Cdgey)w4R;+czU6{-KNdr`eEHpGsWH*|(@ctNz2;<>rKhj#aTNblTPs
zc=ec=16NlDP@>FOmMfH(lT+0;0>SUJiVE#3r}ys*B2sx+*%>|#q&y5)c(>+bCDmA1
zi4M&$EopCfdgAMZA{3fa3KZvGy$gOM77a~C_vzpu9tc}CLuCDTacYM^m|#QV<Z*V;
z0PWM9j+-D4q`mfJuq3;V33aYLOD7FgKmIMT)1tKERGtb*ieETcSXdyRg{4-}j79T@
zx3917MV6<B`Bh%<`6{iiRcl&#DcW{-J>GA!rl{@VYn^1asR-1-riL}m9zax_#thLI
za89?m$f#-V@84jMtHA<M2|$faO(^nlj~b9W+<fCLg)jUAb06)zVKN}RndI;01Xn-b
z<u6g0YH^M5Q@<nEZ;=hh>*<-8q_4m?B4sDaJY7v!UaFUxXOJUNlCT8|K=i~R1DTl9
z3F|}Qfhtj4(1gpADv~1rT2zuxpCZ6;0Vi1Erbu!mxN$5jb$kj64Q&E{Ll#=S9%5w=
zC39vSBBz`LLVJBK_!d%;i4|Imf`WplJ7Df?RynvKXQh_t@9!^G$D3`2{QhvWD#pWS
zeD<=t<k_qGy3l0GlSACzPWrnq{EAv;q@%qZf#9(i#YU>q$2?S<TUbb4%^rSsC`@07
z9-JnjTJ9`Fakux+0Of(XdinOo-x_8Lqq2jl!O5uHXtLxR$F4jak>A~{nJ8Yn)3{SA
z+h!|$@5m`C|LJ`%`P<INT;x6i0#WpL@1i0_Lv1>qJcUdD-f-y;e%~Plk);duKas_J
z;%Cl<nX!ya(4cLJgTwmpcLM#qhD+T(BdN=NoS8}@yc>unS7lLq4*}XEDwrG3E+{ty
ziH*}Aznky_6{)|1*!eI#7|>t6T*`_+9j#P)KZ9@WKa=&<yLaL5r>kxt2RFY6+XVYf
z@0S}0(BCMUFy=PR@)SZvkoAwqBexJq>2&eCaVgLC(U5(`m!x~xfc)MrK+M44)P_a4
zSA{1qz<LD$srdkH`mKtOLC;MTlp6>THfr3OEbqz}wVp$OAovXgXj<iu{!!4F8bZYg
zm3%v-b*lHPnd5H8a*8K)VxVp^mZb3#$(^RzCPfH^#{Dp{Gb0EOavK(7sI(|rrk(%$
z(gUfIw>erlU<K$^D078Ws57^GKtbmK5%B+noqn*i^$0LmC1m`hQf@>IV2s&D^wABH
z6?f-h$9@PltP7?BdY11FsL|-r!q?r5*ZE^ov@pjh?Fo8(-~W6dR`?nYZGecJZ+tu{
zAra9)y_Xk=y8do$Mcb*_$F;Sy8vqHD&FO0BUr&rVU!_47JOjcX%JRJ$yTU?4guQ#-
zlXuv%`=se>%3EL>uzwv6I`R9FJ<8n)&Pn3~tlJk`E0%>it*zoyfDS4&&KD<~NOOUc
z^K)OwFuS|4w<dlyt&il{Y>cw<KT+YHS+_UekVO1WQQ@JjqQC8dj~6Tv;;0WOCF|4J
zH{ejNzFr(qWBu3LbXHKw_2=DGic1NFl~|nWVtdfs+l$*3&yLjWf^{t>D{8M&jFB(+
z7-DTYp;^w8w@>%KZ)iwGAfWT*#p8n8di_p3eq@i4&zpLG8=lt#_LLrWtDkE)0`!G<
zMU=#*&kpW4_4|t`cxS|tf7#4Gqz;h{mG6|GCUt}H#-MM0YE!A#f7ha_ZE^6xp)~@y
zIfF{CE6(ojlYeFkX=;=uU0Jm7vM-&L67lqtw*#7e`xYDP*)FfeG3e8U*y2$-`yC>s
zS&71E?ydRNFzf`1l;nS7q`y;X$4IF9@LBm|5#(h2T6IN?;3zRA5|)OaYsOb0I?ioa
zRXuyXxn`IUrDgnVfu0Z|3*$Y{05)!6Je&;`SS%sWyS-%|iM`o5gF_Pd;z2i<$?rxO
zeBYpmB(zVH_H8D|)G;LHl(1(V7C#x{AI{%FEl$@4+<`S!O&!rIeEG8D6J5Pb`i`~2
zXz3a%RDzzV>ZxZWGkW~;TDOzN7&%U4W+nmSGE&Kwo4Jd5vLEPZpHx=jhvt?=aPUg{
zxG$}&Xu3@2;i=EY&vB@U-jrex5TL-J9K=}i!(RlU<Xg0~=JVnTlq1J}_$F`G4~1*R
z_z0o(_a*{dlA9VD#QFw?sVXZgvkmJ-K)L9pl@g<BUPwgJ>$M8A`%FyeI21flhN~Ey
zrs}g60R{Dm-xo8<1>PrqKdVE%w<hIto+}#S>x-g~!Sm9}N~ui|#eRzCS(_ra-ntX=
z;a{X~6e6z_02frKt>fFWQo^A3!-wJZBg2sE$NcZ#<D)#qtcw26vCa&6BO{~lkRlQz
z@ABU_Ta;?IIJoxxpDX?6g1VR#Enok0CHNmF;sEXc_yc4h$Xg))77fk={Lk;35z0Q#
z|M&g~pu(qMJA{D7eEG!ds;2H)z9yU~*9N2Z7eC+LfMe^>J(=<>5LX)n82!Y**EMnT
z+tWO}51?dy_#x63l8pN`wve#!avRdgh<S^Vm-kMx=h?%Hiwkfr_J8rq{JV4{4KjNP
zbHG-57cp64+NCZ)nk?#NAZ!=_FFp3QCA&b2_N#n|ibo-N?hbF$m=hx1724H@3-opW
zx~e7iB4Ij+@Jd-)K0^GSn4oBBX#oRnDQjzvqwVR?+oWv2J33_RKTyyKM0Qr$t>OmY
zQs?d-0kUgK5%Z0Tj=q5?`t?f^4&x)S$i`UVA~<F6J8mWnP;0%5q(p#t)_1@`a%20a
z>a_$z&&JlqvJ1v=zsj5b_Y;}8&jvkEulMwDxo6sWm+(J*D1ZKF1OI9=R-nH&TQ8cf
z`Vg0j-x~yB7D4wjfya#S`8T1Q9cvuiuhPp;o;>*u2xu=EU?|<adl`dUwzjq$?kCo-
zUcE{IUxhy)usl(2h4)=Ks3(cf1WqXOyB$3OMHp`!%E#(Wd^rY*G<=`Iv~K~zjRq+l
zJukj~n!K`pp|C)FXWE$oxB6@ztTba)$IU+<n3TRD5V+I=er)<xhzBmJRQULa9Q6>;
zfLZ{}unOz>n`eg`S$)>QA2tTk(7Cv|yB_IQSbvwBEHJ300CD!Bl9EPn;F#aq!a;yk
zej5<XkyBH8j|^(az@4TM<Z}lqY)rnk6|zrI@j>wod*o1JEW2(D8&)aM4$bMCQ<X%B
z{wyV07k~W;NXnN<d-bawH7qRCSLSz}DXdro>*bQ|GCWS^1L3RqOE5Id)VlFrQ9VoV
zv0?O!>QvTOvWGpSM;T@VaGD+X7^oFCi)e_K?NRhtT}YybMu-ey4Y{IuXm~;#v<A_O
zh|qZN*$s@2k^sI%JY8jge)5oYS7RC2?-El`rzO%eGQPt@Anz9&dk44;4wt=GpVo&6
zNJ!9f)Ugo%j*qooJVzqi482k+HR;vp_kMnU?Os~TdhTZjX0dJRLtw|<2xlii<Og{b
z$a!iEAJS)r6bz`3ZD4(suM#_~JyIyHgH1>RGOnq5FIq^9qvSGzf`gGSH~<5JOk|CV
zwP)!yE8#@j=?)DIja*l(ftD+!_-b@Pwi_G#1cRt(edl7X?BEdc;qKFZe!{?TQ@6}g
ztlDww--wpsUqK=91E2qwyS9(y>yjcx03qvCR#*3f6VopHh2Witf+(|^jew~K$Tk;F
z#WGz_PfWb{FBE6exh6EoDnQCRmaW2wBzl~WHpxNe6xPfKNFBdCu|tE66U77@I0<2}
zolV<O#>{zaAMP1mP&o13PPTl_efW#)*l`$H4B!%O1jRMz+sZBXeU!Ot3G5X%V$rtp
z5d%XiR{iIzE!f^Yzc4T|#>NS{9sQ`8g1Mf@*_hZd+?&=3(o<XrOOT<G>vF%oJl?ZY
z0Ct77+-&H+3yf7dbI_=Dw(S(NnznYkfc@HU1P9V4?d#Y4Y6Rv0eeOmc?#Q7=+i-72
zCvw*0?yyK(^(&IaceTKle**zoURxyXn4N@1S8wn0tLmq8$}b9#;1a(@VM}Q6mH=s9
z0C;$Mp3I{oo_c~cr(Q+MY7oYNs9Lqu(BZH3go(=Z+x8-wI3|TVW;FIF+(wP4pnj{j
zxJ6AxHO#!Tv2h#HlJu-BMgf5ri+%Z+>!bNB*Pu8{0NjGQHXA3W%KT%ACu#zb_VYb<
z1E3*e^kls9t(6s?uI{9HaDFC>a0cPm&}L;7eM5)rg2ES>_H2J|jvQ;WC2Y9K_2Yzr
zz3HPzj}E8<Q~<ytGgt^W(EJqh+=-sjrW9}~G8c0QkWrBM8?E<DT)h9MnVSFdt5st-
z8Jc^KO<d+MrK)Zn78W+<$gu>`aPxFC9K@p+7N$nbfm+Dw+uXQczj&)0Hqa3K9%nxr
zxxzS+pB}+sJ@?x@G(VF&V_$|80(w7WtBB6N7ML1()s8rbuc7M|4jXY7P6DKu4~^u;
z-olrNdkBl+>7mC6=gQePLVLzmvON1sFsQ{%NjHps+_PmK0%va!zd@eb8b~hN4LmA-
zI;;EKfW;w!RvvIs=Y6$028Vj_DJgZ|UqY;kPEN+7i424|sbOaykW*q;Tv0&=$<hr3
zK*$usde0F85_(t3v9&!2+Sp&^HGJ3I4nMnl6ebt{m2rUOXGASv{}NcjS1Kwh3e2%w
zt#VTH*jQM`zGyffBgsx@+;;vxnOLVM4Au@MVI@PX%+ELUCX4owu{^ndeX);MT3-GJ
z@duLc1FD?)l>KaD$bG>CLGelrHUu<p50Jz+jayw_jvZ$c6igb)Q475B5_Ek{8X6kH
zI9q{G8V|ssOaOGDLaU}2F$tX{I`y8Hf1rC=M_k;;y;AwXtJS{b_{cRZ?|d-UpfwDQ
zGME0}x4H9w$9F~&A|kcdFGz0RzP+-r&<Hc4^HH*hhpWGuC|MGyey%Jp-@Cqo;!5}6
zpz4(qL~HHWuQP$aBD1H_P<X5_V=4+Kzn05zaB*Mv_V(^^0VM>d!xXNLVLQ};!8!EG
zF;D5RsRpmN&khjix?5T@x;bG9TY_Ej*}1WwI(L;6i<Cp{*_vK188Y6V8F=u>d?5gx
zsV0~`aDu`Qv=<myS#dyV1w7*XK&-OLaVvzJ`*r)d`DZM4c6K4p3$i?|!d75o2#APK
zxVgD`tY)Z)?koHT#Rd$xkVl{y$C^;C0K}bVpt*>o)4*nrj-LJoIQT%EmVWt?4ymNW
z7VpZ?@$>D#O}H9T>=XzipMwK?uu^OSga9AlStN}x$D3X%_&4IS-w9RUtx@EYjU2A0
z+2yQ5l%P>7+<6kFG1#8`Klq7WBZ6k+fB*3RiJAUS%qH+Z_{|srjlche>+r>~5rDG)
z`(i;iQc(YY05i-1SjR)iqr9M_2S<6;4<P=3XqunPO7<LddO(5HI_IatWizM&dI^L6
zez*F1ed39*g>kpvwvvoaOv)#UH?T`WucWo3qm+$Jap&ae*%?&aUM{sqYmn&&Qwuu2
z1k6_9erg-*MWWIZO3MBZBvR8Hw<eq+2<L6tIk?oZ>6T$5{()Gv7<25pfVy}P0r$_U
zPwO4)(rr^51DBXCMEBOxTaor{2s&<VqU)>kLb*x3O50m7p-jsP<-pAs>2#Sx$U_H<
zRt!v4>P{AJ!_rlsTwULD-<qoA21_wNU`0SNOSlRz4&V5vy$h?YlT#oVQA|xw^F{>z
zKkxPzehBDDG{m1ek7~Ke_D)z`Mt_QoG)O2p6~GnfPqh<!cTW$eNo$z-rKNsyA*iI>
z@}`)?j=)c)t*Rl(*Dk&}KR>TsZ0x^{a<AF1{}NLLNl7zye4F?x>;`JsHQ7a$fERIT
zgfI{ZpdWwY?it%Ajok&^$Mn%M9QJF<!?_xH6QYLkt9hG(fDIN}!zne0IOv-ns7%WS
z8GSz|O2vSIkxJw;MIOPVi<K*ehrsIEo~@_7b?X))<>2oUgaXd@Q~b`(&LC2K6VwFO
z#tLa+v&IdUNVV02fkOau1Y$)91f-hiflUwhi6|*q*poqm9mLv=2GeEV4y4{PAIZHX
zFE0-}sPRH`FvMd`|Kv8ZCSYVi^Mw=)pdk?50M@h-^o4(ushJfeKvCzBUIl*si(fvF
zwm>WcV=rH*E6juNHnW%0=aUoXQ>R*p0{*6?kF*iEfxcz$CVe<FkKW`!W(>ZCHxc)r
zf5|RV0L68vqZff!vCLgU&|W8bH}UgBem<+7zCNex!CN8M0~rGYI{dlnojTw8dQlMc
zo&z%0+Z*9hTFCcz&z%?W<)31c8wiM1xfck0@phJ~DiRI#@|e1BArcIr)r1DHA`nFA
z;Y`HDVLG4}cR|ybmb7=&dBI@6(+G(@kTgIn<P~j#+6xYDAc~>ktnG%qgW=8oT3IuI
z7%*-PphuGVvm0Cqkc$awMB$>+ckI2yV~qWVm7&mPibyCdwDMnuP}PYj0uJY)Uj564
zn`quQUQ*!(J`oV$qKRZO94)spj7v(=eP0b57@GGjG_=lmcsh`xssyn)ZZz-lKYsu)
zmvf2k?t-r?K(SaaT*PY&i!NlOZr%r(dgd_QM<k`*-riiMU%z|-d}50D<A+H^+^Ri+
z^eM>C&vyr*wb$LPtx{Lzm6cC`ZGPk5rbPhykZ9g8?$6CWudTg({r-I~q6o5{>`U@o
z*Nc<li}SloOe~Lv^0e5|yjcxu5)OA}4X>u<X>S8cay;JFkNftmcjBj66M_RK%4<{8
zd+dwr>zxY=3&frQ1-)9WWRtaS<rn)H^b*un70B^#FUT_VJk4;Ybr(s7?1d9yKK2PI
z`Hz@{1vjW2+mfb8tvi1FqaBD$GQ<&h3b3#;#>#z$c#rZM)TcFHf6Y9;*J+&T_K6T?
z``)7S)&y_H@{2Od4nz@LS#qmS8GSk#-xMMy?<k}j%cS4HV&=gkA{rVt_EKOeZ8yg9
zb(suBA%LIW;sUSre316vJ#~kHM@5a9)QqK!0SKXaLVb0zh*t(*%MqBJxY*bhGM1d5
zaHez|v|qX*Ixg-yZvqHjF4Kp_E_8%cht9~#;%+7D>gX^65hULlRdtd@_>Rk%doWGA
zfa*@re)KwwlZ2GC4OTl-eQ}lB@q7Q-MMcOhULyX04Fc5eHReEdT+L#3{p|91mK>o8
zP$0wf)wMxHL_{~ZZc_7Gdt>^GL*KwSl#voZw-V(ya(2zQZm_~O-O~HzNfYFepJeWC
zLPGTe0xmWpiO1|?V_$#EDKilP0X;h@2}$P64SK%>9(}z~^_**{mcayJg%2P|gn<gk
z0x|?0Fn0fJ8$0r8;_lkSaB-|hUkF%NCEs{SLPE0F=P?A9giCGw%*=9idP(OWJB=S7
zx_ts|Y&376lH%gyvx>r=(nZlOLUhUd<>dguTqOXapo#2VLQSxt#A4|K?N@Qnw0|ot
z+I09ukji%?uQBgUTGe;3^H^!3R%N5I>|dSla3d^1X3{i{l$e;q&CSh!<CUD~4J~35
zDAK~@0CP{4%L}Aw!;P0|QsILSwrPZ2ALx0VAH8$AMN2`EJ6bowYuZVS=8XfG+Kha>
zKE5Pt9ZEb=h2<qB#=ws+cUn$YY1A1!Adb^5+&VqGKR)RX`Lu?11irZ3P|Giw*fTr?
zgv*3M{#-_}!mttn&B;p`0xqPVu=gc+2w-&q!4J4>y4oq8edwqzy(B^La^@AlOKikG
zXfVByifcxB36_oKTZa0`$N-sadh3F1B?dM&oH`eB#s@1y(^2`mgqt(9ln8vtsR6ok
zZS+Bj4G<KfaMj9v2pj>IhT1P+LR4WJ-YX&CDm1J&czp^!!cj>{w^LrZ;z}aDO|^A(
zS@e$A1{kMm-AG}zpFr9b>v;vq`3(dBL9M(#UBICT1ZaL^jluc0RgfQn)N7AGB2P|L
zl@O5vvn4ie3wrXZoOTS}yTF%vX=HQ*;e5VTe&>jkisvmpBBiJZA31QN7H)NQ9pmHV
zzc+TIG3ayq4}ZyghFNU_Rl<o|x-Bsy#S<kze>Ovc4Vlj)c@{RdR&Y6llL~l63W^o%
zH_W$dJHQ4Nfk2M;3#3C8GGoAjfsH-R$E*^i?*ul<oM-$g4J`9NK<j>X0P8GqTicSF
zsiaq=^MK#ez^?`CxNmW{zuan;YuSMnxVdDHBl3w~7U&Sz{y7VsrmzCRbj#b8(P9Sj
zW&|?LaCUQJnJNT>9{6Wj)?a_9#>!=YTGlhz$cV50!vH9QOamzL#MY}pb^Jz5cmC&(
zA5~vZLqWqDngsq#Oc;Zn!*W@y%w6qD+k0?86gagH0L2%OyOH)I&C`7dhVm$gSSjhP
zKgDT{%R)4Gum>Z&fjoKeXmMrb{<Sa*i@Xu}yWTOrj=IRra{}?8T!1F3nb2zYq9vOp
zak#jOPM*PPs^S9}`f_c6U)BfEK8GUG9QbHOv-8EA6aMDkQGB(l5tA}o?SzNu2b65P
zv33OjE%!DO9_;V#ioq^=12I|lj-~YZkrNc>`eE7HPS&}f5+XqUMrHoZFhE=d7kvTS
zB@944P);13gOJwV(GeZl{dZ*rjfsf~5fz#Ekg<9VNPzOjOP2HZC0U7t!KgVoIdWbQ
zD3&LIlZdU?f{6uNAR@*ilr35YX$*c70pi(RT(JS&0Kbvyk*PqFXxDoRqhXVIgLggJ
zPThGyXR_f76%_(RdoqU>5Z}-L3XIz`bauvkdoKZ5`lGZSSdyStj3}(91>!|6evH8s
z5CHFtrWQ}WiNklWZTWX}gl2;6cC`5r-tn<5;7@CN`xtgUzyBH_35MtkPl;I6TE(Qt
z%cBs7rjyl4<@#mAnUb1zVY(t&2?QOat4z<oJSa6F*J02h*XYV&28RpK6nbW3!+CbJ
z6$)YO867?y@U`&TGP1G_P{JU7-({dEtEr<<Vr%u07t>-e9aFnQn>hB$*~KO2Vj6<#
z^0GYBS`wcXQm{-&Na!D!!Np8&!<O`?!iMqY&6`DD*Ph501xO&9A&o_rGR+Rko{kR7
zjjJuLXKtM`Gg_cMJoog&PsP>O4~+qiYvNY+y?5){`hdI>gj~41OM0fbxwx$NmShoy
zvn4DOnj?Mvye74Lm^e6+@a%||4nAeBzH&>fa=zJ=q5r%+6Y}l(pdNEdv<90K%7Ywi
zNd^Kyp`WkxGdjL)Gu^$bUg4!f#HMkEk+TQ|y!M_Re=zikpcRckN`E8^bk>Xu=}D2e
znO?fZ<QJ-C;d+0(Z>h1nf^eSh){jeBU0v-uANBzL7VA6(?tmA@>3%REZ5r2gHB)Yt
zJYmy*HT~*NK%JRuU7hTahrNdZp}2x?L4l-(;?YrIYPk)-g5@|fwYK$;M>itF!eaWU
z>tLjUBp8sa?Tosv)a>y+@7<ZC_7$w-y}gg+2<IVKnoD??GYb8G|FZ!8lQ@(@^nqgV
z4FvF8J}?gqwFB^I3yR2j5kIYFX`aeTk`fSnFA4*e5Vm{7gPqAVjCkF>`nZy;=HDAw
zfBO2A{(3(|hRq7SQ6UIlxZwPR)dgk=T}kG(vZH*;4~Q4qqZ#E)hFg;`&j7PWB_@Ud
z+56DL0-uTsn=PK@x;%RK-#_obz(6UbY*XKUNonc4+IJfL2kxw_?CeT2&4p$|nHr>z
z=$qgEU3ig>qp>cF*n1_XGsqk(cV`p__T8$5jg3$w-RgWvqJK1tNpwHP%oSUG%LDV}
z#PR)-h5=%nRJ52c(lCWkmG@T4L4we9^nbr|uu2qfwe0iftx$gr1@<;Zr=Z>Y2Fg;8
zRZMu?8BDp(<b&r49AeAPn_F8q5U@$fb+t>OhX(~IpS(tPHJkvlBz`YwJ@@qV4Jg~;
zVRZo%*EE~`0VzONk~6DLN&4UiAs!b{02Wh%`#=mqARwf~&EBm6!WR>Q9^h8?@&Z7<
z&<CI{81YTm?dAg)S2l~8Osm8%g&DWd(VsEL`t+?*c0X0{i%OK9w1|GJp2Kt_1$ZZf
z+?gbc+#{#$sT}JlKIFXrC>#ZGT=biW2ea3wf;BM*jhT2vriT^7hFkuR*()djEcp&U
zq@at~R$9AC7l4M#FmZ@~%cR2q)JYI?+uITJ&jKDyw{~{Q8Qi#n4K+c~iA_~a?M4i?
zK*{@Q0T9xoecJJpuv3a!qZvrqr?P6Crlec2-hH~3!NrjXqUgtXA}s$C7(O7eo@StU
zLdN-jb#~>!aGr7aTVxO#<WRx36Eh97OcYI46N3sxP)8{dN@z5$xVGy)B1EM$B0-vt
zM2Tw?igB|WHi9ml1lb@JR}mZ36<3t@d22G0zq@~av)|6{_kHj0{XNJ2o=(X#e>6wx
z5&RixmWA*=U@Ib8occK=L|-*vs2+@~B4S6(v4sUMjJE1#`CzO&F(n}tveU?lURC-G
zbM$l|i((on;iEzQKj;mV5WCph>Hr*N@8VLzR)w8H9JU`jjkbp=a>8LA<9sMDn~ip7
zBkq%2u~d1JYObR1$*ico5xGg1latS)8C<e&0`);+p1X5TIFD%zkf&-tx(pnJNYGha
zMU-oP^c7CCHqCl-*mU*S8W6+!V#kM*Hq&7I<T29*Nq+X*!KS#JYwE0chcZqa=Q|Tl
z2eup~YU44?R8G$?KwDS}L|Ysd8tN5e=)t=WD~lFD%McsXkSrx5E2~v^L`^O6w5zKw
zg}*)NGMUUNq#Z-xA#7FiP>x63>BBzQ|IxX$Qy&Kf1=XSp*=S^@nyL{T(A6K-;5Ice
z(H3Fwfp|-i^-p|Ec?PNqABlAy3pawU5yoa`&tK~JQwLKCeF6jB50?Xama??0&<%GB
z1e|Ujeh*`)2uHhxLZ`7t?8g<@w>fl4@3eH~qgQC2AS%A9=V54-EOn-lRoWZ7Lmz`r
z#M0o+pi(f>E&G<UblMwPBK{8Im<$BGQLrgDJ0OhbxY-{3l6(7`wBKfQ2d@HNg5#2<
zHjy@eqkRY2ICdZ>M$lG?P{`d~{!tzdr@M<{f*kDZTAI1st^n;5Mab5eo$e{P5B3$X
zh#MW=FelnJJ<5vDSAh(tln%bKmGE$NoaMT0%<8R=SX68OkuHM^it6+b`Z4jH09XhA
zHS}rCohqi^Qz@eFqgdHDu>*0}iRy(U&~sB=f8#z^`u87U%?>Dlmy=I5U07Lp1pCk;
zOf|cU88F?EC%xiam*U2%SEUl_c?VEf1x|_7tL^Qpzj4g7g))fWR)uNB7`oWl=x72u
z6=-a4O&O@oK)%Ooct&=;{biBMQ%euN?Y?P06=VhqJq5&?R5CwwCNndWksI~-!NL6+
z@mnj-g<JG{KNP+6x3-o=-VWrx!fI_J(gO7PU#oR2Q@@z$dpi#AtG@6;8Q&Xf$n>)^
zl~thAvs-s<==ZD&e-*kNaW-sh(sc^)5WBg`O$84PA&R7p6Hg3IIzLcx$Z&I3&mi{A
zeyptPa&g7b%+VmAdax`;Y^9_QIiWaJMXkKjp#mVsz1d^_5&9f2Y9L*ODbR{v9N#70
zVz@D}FMU<>nuQB++d+ywDLCMs#9^Xk0Jr;E)CUnCG+uu8t%xAL(u+GKiTLo8;k<ob
zciHp9>F;ZQo$&Z&0k~%J;WQczJNr8FUj$k?TXcE(yq>rQ#JOk-F`K!>JtN8yohcw}
zD@Yx%075twpozQsjdP`q*VMB>4ZX;h$jwj=;3rAzM=a#UoRXm|Y-}Fk?C&8Uifj0~
zI=lbAUM=J}X#%z&GHKo%o*kr2Tv;2AmLu`b;6RVFXG<1&&^4|?z9rJ$(r4Cww}^LC
zBoeJ7cn}672#`>EGeXnmh9&YguM3`RrCtb8(#zN*mn2^UUPBGNlCkAK4A2)FBh-@u
zb2;R&nHbJl+Q5`p=_h0a3|8#|8D@+NPrS8SuGLal_pWoB*mm@zUTZ*$Nq|LAq%r<#
z8A2h69D{`^$2R#S5x4hxH#2Fd@M>5TXCOyATmq>pgW}2uq*z#*v?2?kr$+%jYddl8
z0tA+6zW1L{?bO4SKJ@&TcWKk7lK+Q8eM`<lTz`kC-Imi#o}=Y&S$R`<S(<%eT5jT*
F_%AoE5WN5Z
literal 0
HcmV?d00001
diff --git a/QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/examples/figures/fig8.png b/QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/examples/figures/fig8.png
new file mode 100644
index 0000000000000000000000000000000000000000..c3ca56365d4362604bdd1267d37bc381a9809e6d
GIT binary patch
literal 128591
zcmX`SWmp_dv^6>ecY?bnSa2KMHMl#3f#90K-Q5Z95IjI|cXxMpclSH*Ip==+Pd`t2
zRd-kIwQ8?0B?T!|Btj$r0DvkZEv^CpKpz4CP_YPbkQ4#=??#XZkE4W^qpF>$ql?k6
zp8$CyM|*2KM{5fZx%1CoU<*52b|xMsHU@HYM@M@wFEg{v|0}>`_sfi#LIHXS(g>ox
zv^E$3K!-GlZUj{<RAd2w0sv&hMbum~PW4?}N&4;tbPasm-H-K?R$EY+77No%Ey;z+
zV`C>V$teW<0$-<*5sw5YphOWV5D{~el~C$g;fR2%=?vO!0!Me%EgeExujiR{CQW`T
z85cJPQ!A-U5KHB2Ian>zO8O}R%Dx=uyVxu#%IXfs`S#E4#?;Z-Ij^IG%ug7wGY~TX
zi>K$SYuAPo6ciNFQiA!v7D6y>8~dLv8q)p>XuoJYt6#Zn*?41mXjnN5?%5LNCLVv&
z(9?^g$@atqAB+nS%m4nL^0C~a<Y#b*5DR+?a&IKE=P<fIU3wf+^!6{1P0nj*z`JrK
zetUaE2<dU%^n+JYQSq;+VA69xDmXkj;aeR`{J&NrW1Ry6A=djY>MbG^=z7(MSM{Uo
z6QHvPT_`ffbC)WlN#g&;Dn<Wijhq5vMj@~M-UzH_;~9GH3l;hyRbT)A61@Mf#A*(i
zD1%NdZ89mR<*bo)*nfRMdWl1`080O7ixhO{@L?uwVe|7E{BO52kNd!mu=RC=NKyg9
zi}n{LJ*I^%+pPbq^%>^>YMr7!Z`pQEAvLT-nXoktTtHTZjnr*7u8paB$V7$KDvjFR
z-Capd4MswFJ>mX4q#xp_e+<Z5_V|g3iAw4+&+**u6#uhqVGpDO{%hpGL-^3^>tA0m
z5ydG#i{~o?I$xh|93IwO^6TrJD}P=zpD=kI@NKvWrO`nq?jV;_Qi3=)Hy6@EfQbo@
z^1q{M_2EuCgOhO(f;l`q>=Z*62qb&mghvPxeeC#n5%PR!*&t!-c$0TEG$gaMvQoZ_
zs1%(5?|MHx(J4~Wwae074uFrehErwBO6hhZBv+dpEsT7a)<~|<mfENK)|wn?k8q=%
zLcE$BJ8KS-eb+VvzN;Tr4!6Dwu%nZYR`e7QG&$;WC=P1whN--4JCX#g7spQIo52ah
zScDl8l?t>q-CirO#h=>jos~VPl9l{z77bYp9*e8iYaW$wu#@sw3G}q0;_$=f1~oYv
zE>rEENUIqBZlU|4*iJ>UOLSl{R*-#`mL?l>SBLzhaAh}KV0fAxFKcz0b@!*2%lf#$
zs=3zGiD@nK9+G`;H(mgw{sy+_ps%m{svavlaig3XN*CRxJYJ!fw$Y<LL`ab>oBMLE
zq4JxVi!#|e*X<Kv)2}JJ6Tyeo^y4+A$@nfNq?k?BGpn;*jqWW@k5^ThcHbD?cV2O!
zOuYBX?@JxCK=8A)JfSF8-ybB#C{*s1({f2wd~Dt}5shsSDZB8)!X?Vv`23XoPPGf6
zer1{ADb>4c!S!J)>^I&Z&$on#5;qxVieOh|88gCfS#N@(xfs_sHzC&9fxT0KVn2bS
zye|reykm(v!^D5N<>d7q^xD*t`*2x%7{{S>{P$-}D7>~7;<w%O&N#?|rDnis4FU|i
zvPo!09{&c`9m5S<_0~8-u6c&5^%LR?xvqFr<s)p=^BvEwN&#~R7$-BBYUB3G>BL*L
zT4a^k`cm{8bi3dnxC?N^*hEq$N*5}MvphkiYqqN)_e+Uauq;-Y?9_7nRYIGE5OW8$
zRA9gF5yk~78QH758(C^S7cD{QisL`ydh|@V6Fh;gd2wA``J{;{DX+ha^}r!fcLhBG
zjzSfYsd<ckvXdK=*k!^BWmcb8=~b_}r^g|1<&O5-+-eop_rawd?WdEV<}$}>ARkKg
zL0;it))CM`UvQ#@D%pUz68n13q887dZuX!&H7C|CyzFc8Iolxt2Sef;DaNq4R{ARa
zoWMNAa@-q3cHv}OU4!3>DIu+4F7>hm-}Kie$12I20WGtJSUb&N>v7S<=PqA=^WI)q
zuuhC+iwI=vfuUt&>`QLH{hHx^T#~})!qooIcJbey)_9l~0XKH>s|l{4`p6B9`x8eO
zYyihptz&3<ws*bTlpe=qTfO{E3O(WEipNkfsX7%?n(oS>-=R^*%XROwTEI9_z4@n9
zl_~mN-Ks<`F^R9WQ)kNNgL`~^Q983ZRvCKD?8(l3#G>u<2sVc*XuKNu*ksqgfNvz6
z#T_?}SFJXP$H~kJ`th<I>p+b`&7<SN0uOeMuB$OnmF%jPP0e9zlr>w)jbxxFEFt43
zhXCpX2iWaGYLY_U@HNMcGQI6OyhF8YW*Mx@;YWOmjX_GwkfU5H!kq#{*J^r&aPU%F
zg~PNtB7p;iA!<v92K8^*3ppI*r*T^A!2*&TSQgVzW;hMPonJ@v@QlC0nf7J>y=+aJ
ztMc@V?OYbDpL#9Dp7(}zvEuWUVy3s$ETmR2=3QrQYbiHyO}Ryw6I)ibwH`Q5v*$nd
z(g9iHj_sXPbme2Xh5kTujO**qPFSQH<rW<_MK8dDEfmFQlNF+{4XJ6Z#r{^~VWgdX
z^;4E-KJY)|xSxhfcj!4~6k2KhRv;lNSR}e|XjORMCkYqi*?xYS$7IopIe>|lxVDK7
z#hb2y0$jpy4>afxl6vkmsyc|V>yPAjh-PEw5OQ5A{HDQVTgy1<*5;rCMp+q=RX+fu
zq)S~Nwcbmuu`Nj<v>VphP3q5T7-5}Z-e_Bw&$OyF;Nk(V;XJwy<&@Xb#7?P#yzsY}
zx%KK%^R#=p_{VBV`;IO03k&<$tUqAPLeGm-IVfW3b586FpCk=DWn$^_5SLfv?+UIZ
z_(oEH5Ls)4WHMOuEXi7NIip-mT2UHm$~*g&_%3SD_=u<oKb?B*npmk9#-H2t+gLHS
zkXib#(X2FN)W!&jIZjSZEL-wi%@=a*?(J>)AE{nmu2_Kwwwan6k`z4^o*ze8>Z=$V
zY*bM1yLRLYn3C`J!%nITl-`UpP12j#x8Ky%c{Lg2okId_(we-`0e8HpY?Y!OetTD8
zqV1NzB|lEyrHDd0XKP@MABlC3P#@KDQy5I<NYS*wNJE>jmAtA)QA<hto(vuX`--Ae
z&6>R<=1q*!XqEs`QN}MMz-E@mInQW$+@fY}$Be(!!8<|8<zyrv%ot0Nv-}f4kJVy&
z%O(_Z7CRtX0EshGxXN*vJDxcoJ*P`HuEHZN@_>W`jivEh?6T6QG`nzb82P28NPvG%
zC-Xh?!Dm7qgm&3Jcsd_VYL9JpN7R3t9$!LA)Ccg+Q*Qa^+g1fVCBu5cqqa0m<e+bY
zr+of9gIhJZF;9b6>^d-*JFYoBcdwVaFN#J9q8756-dO66AG=Q!y<v++NxT}<DXPd8
zXIH~MWy3!!ABW0q4+i~dBm-G*w37g0laqmR;{sdvg+?rCTCyH2$@j~}`%`Ff6-gtS
znf|cC4#(zi3+aoF_YCIm46utA!^a>beg}>_xS(GOG|I}YXn6v4!Qy9<lz&7CHfQJ}
z-KPogR@h4_QltAq=cmbNzK2WUIq5yw=A8#yFI%BC1PmuWg-*BBbO;X)a4z!^FbZ0P
z_Ow&Q&+VTce(P?Nr#bLOZx(mI>Bq3BoQWLpFy%QaL?-w;Sou|nEXR8hlX0xT(2|UK
zR-mYuA~~9f11=4dQed)Zs_jTdH9O{)3&N8ITiczq9bT|#n1b5hb?iAaR{~V!&lWyJ
zJ2*|Xng#cNqr#%O=le>39jVY{7EygY&fsW?bqAE5wd&Pig9z!pQ2~?Phq^7(vpzBj
zw1&n=#fr`GYsKFfe78pCH-!9$sJAII<z^1s!Dsc$OEkLycA-~Rp?6LAW6DPEE;HYz
zXKwLl0L}QEb`ggo<oZ%}*Xo55W7yMed&^P)duNQgXe){tkt@Q+tQac+ef@24Jkm5?
z0d{^luZJ}Xj-)`u!Zd#ZN~pU;L-D`ZSnhp$7H6^QPS~EV_U-B;4jqX*H{Ra6`6*_>
zm~bP?ROy{GS+kudsddRO8D146(6yE>9w>16@9w-3hPb%-6(^s0lR?^(PB^JhYYu<?
z_i+-AnlmZr6RyI+fCZkS)NE1#dKL2~!OWAa8E=QNg?tY5Z;{=03#DeQk);#n*Y2ak
zV<F)`MJ_gg_nCc%7en85;MZ(SUW)0k2xoM`j9%5|=4613>1<H@C$)4%bQiwNh>1Bp
zGqg}%YcnjFVakNw%D!<ydf=?Utj!56e1}=IcNMCIWU9-36>H+>%FLdwXddekwq!DV
zQp@ao+202aO}<;ER)YCAC(tANd5J5mE~^L`>Rf0OXQRvhbf(6HTn;{+`vGRac^dJT
zl9VM*>X#&)ZjMu5b0Jm<xYh8-R&d+PJ@#5poI+mmicK3U8gG5l)8}TvM#;g2-&0zG
z&C#Orvqo~i;sl66gdPo)?W+iE79f(7kh&5!3bLXDp|R7G99*0~(Nf=b;k?L<@Zr?d
z*UGZC_L2?zAy@+zz`Ya6zFw4s8r^#2Bwc@>cT?3z+i{*jadXG4A2Z&;EZ$rPuj5As
zi<c2tZ8fC5Sg-5t_gbSM3`ve_;Ob^K#$4Tz$~%ZFQvNlPc<8pPjW6JZkgXQt;G*YS
zu>dqWfVS%lrB-%2=ay?dn|-r%$zzXX^wA4kNCtLFrw&#kgQgD@rMmw70(3?XZ1g2{
zREk!!qqw*U_Ir84mEujBx-7W~iM}0-OC6q-Yh8^yKYr)uzKfs%%#48D+>>ku?l(HZ
zP0aA!u;`Us=hbpiS3a7t^=0d~R^clL-|Fwk%BqgYE<ocOf^je9Z%>@&PY)|v^V7(R
z?a(_D6}@8{CEc16o<xAl7ezb3Kd7ffQqT7wFvj{^jEnajb@RrVFt2SVUmixjEiXY3
zyE*$?%Z*`YitIpcM+q69!8)R578bj0T4Y#qoHPG4X`gO~fnOm|_eY@|%*l=N>lxv!
z;t11YnZbGYPKS0t#o60sawF><bRG9op@WjsQ?Lt*_2EV^`}c#K?gJ?+4mMAy{{Wj;
z=aeb%uU<QJ;#|<<W!=qX@<s=nNxP~dQAo^&D<S<i<jEPVE}xH@PamGIXRB8s?_NY%
zK9)G8mPo7@wGLX<_EZ`jGrqb)9e|CuyPC$cW_Bf=j1ZvaY3GB_9m9S$KN`@02Tw2?
z`Qv4S_jUhW(<sg3>cmLQL59?}eNS#QLjV&kB)Gqy^z}KJ`NvNG>BxiZcy=_pAun=4
zpPRYOMb8GQj{iqnEtBSZotf>xT8BI7jl$o7QEjTJIh=m7k4rWK-G$f@b~8x<L64qP
zTE_97;5$awD>sLP>nYuR<MY?6#wV<YJ@1xNu^Rg&oSLhtGVkP<vsYME`@OvyWo-g+
z?u^b8S*|Vg4Ieo4_lFvQ?}fLJl}l}1&}CfNhi~{Wx$WESQVL5I5>pH`pNrE@7CfHO
zobE37=>__#zgd<iyt;Z2x6Qk2Ae9XN?E~=g7QEYA*T{|D;Q33?G)oJ;NL9>O4A1*&
zAo-t>szw9<#V%{(eX}YnNSw8~rN?!v&*iEiB>8l~i<|UnwL0o?Slw*X-+ehpR+<=T
z5cOFw4}$cP4czH$+wL?nz~el{m6a2W&GPc{k1HGR!52OsFA!h}!SavYc<uIDD`my>
zrGnmY&Z}=Q;Y_@U(c7J*Zrdw5ldm%aN}h8^2pRkYRZ;Th9R~!piS)FFEIi4T4?{qu
z+uRvt$2|gRNfK#WTi-;v{Et4M()AH~&-X7=cj+Nj@4AY@4=pT5A;}^~huy<=f)W07
zIQFAF4%y2YVMYJ8Z(_RCPX`EGvY{2@@C4GEe|Zb&7;Z$n__QHV*=5FTMt(kY1M_Ko
z9R6&SeWewQTVLk<uwk{d&4`JxBa4{(SoFthZ^yoQ7etKqB?^mXnfG}?R5M^B*~3#1
zGXWFTzd3AqKiI9Pew(^1(p2`?vEcsj#2Jz%l>b(f{oMY(=;-Ni&Zg(GfR8;^62f-b
z$A+bt|H}ZiaE%R1KoVfXY}=VuDdfk4t_RQZp>6e1kH&776@9dz*fp+6c=@bvm%rW1
zhCK@#8(na9JI36pdECb%#D}#`iQde0-^o@}8Q#Ef(PMbA7|4FX4aG@=o7+Gaj@SNz
z2H2d{r9ORdB1P9)z2n+X9_!mPrrB!vmP~TK{~zk7;$A+5n_+R-$TsL(X!oLff2nMk
znj=`Jnn<bId+f0D!9W-MhmUNy<|~s>dbu>gENsZ(hiC9bN}H_N6pggq=QC;hgA<^0
z*Mif&iKKD68|$h(TL`ssAdGDF9qRS6ESa2GetW#~9Sa8s_Ho`tFqAW0_wqO|>Sfln
zVZhJu^*aCX7-{EZ;|bl}JrAF~8RfXM+2fkd_-ZMAyw~pi8Y!uAJ<P2}a_fGDS=>w$
zzf6O3|G4Qq&8_hurgB@+#}kLF)f(>n^%?$hoaRD=J6_nr0Wz$C0@v53MAz$}xfDHR
ze_cVRdGCh{c&4;y#Whdrch3tet$I&BPeD9t#o=Y9?51<($At*P{xu<YLc6v)l6^q_
z@Qwp$DSgF$!_Yu%6qbP-jOl&rL)JTB`^wI{`1UlZPP0|{&>k&CYT&Oro*K%$>dd53
zX(M_wZriwq_Iho$kW==}-)`-l*1d%aU!a20EL|>DEsF2F6~E){?&I=2jap3&_9}?k
z5CCvJ?CN{*${fIY1|jw)SY#-v@OYX+=qlgUoC|o3N`oj}+a_4RrX%lX1Q?8%0q~U^
zR8D(4>Bsv+hq8fzpc<zb<?^0HPLiA2Y^W^=J-FyOw0+xNHC22Vsz=Ev4QZ8~rboX6
z<t&Cle9w$Y#KkAca(!0aH~t3<$pnMQk7tC)=SO1hI}{dgl-p>m$;XL3T0xi1vTE2y
zn&?2Et|Nf2+f4c-#<6IF(U1Ggo6T|+DA#|^W9GH*cF+nh6EwLV83>UNIY+(px8;`I
zf$T#>?pA>Y*f2H*tC~Vps3l6oG_Utmq42Gt(485di|;}JU#fPdaPZx>@FSZjPbSO$
zc+;=00P{~aWF78P!B-tx_p<H~IzWlvhf+_1k$Y<%pz-0wZmFXI8XZ(=y=_3f)Yvy(
zEmD96?8Xd+%*}?6p;wBl8;}*^-cjzMQWO@&vJ$k7scfmSr)Z=U9Jan4g5;hKVMbeX
z;WFvam0)&b09nV2@^{+7PW$E=+9?Gf8o3|a*r+M-1ztsCFf2`^=*(*f1H*|*G-va|
zx(K7hs3)iF|ByQ~h%&TZ2H_n4nu|P1Gm9c?Qj&!4M0{ig`-BvlMPwjka6G#K-X7O3
z8n&*}Wj_n<e5w7^`Q^tn4F|)=+6w;FRf6&{CTc}dOVPpfonW39kS2`U7Txe*0j}tV
z2Rp8xt7jorHbi^Y&p_h0n4F`kG$yI#A38?&w{>hP%eN=k+n<}|hqM$M)*JPD&q8bL
z;3HUA6aM?cFv^WY9i*9N)SHu&%Yop9*n8!d*}$l@gQ8!nFHLVybs3{n4v}}7l7B9>
zVZVGRImgL~fWuY6rN5VdgKC8g<$mWJQsf=;G%vnRi9BeORbmc{ODdDt?#}^rzPit%
zR(x&$5$qAupwCydW5&<m85`9_5qNI2p7JKY-5R?pdk91fqawMeTLY+n)=THp3T0H_
zJ8-lCD9woDOawcr{h&j_WnPN3(Otf(Qp||XetRVN6R_k)uDl;amC=u*Io?0)LTJCC
zx>WhTl58V>2QFwl4qtM;O7(NoR=ylRmgIlF<(u4II`E9=`UE+V4L^2yYU=|5fC$5N
z-<pYZ|8LB%Jd}i!ldA#hWke3$vpPlr?Ja1+f9Q16!r3QMBVTjy8oZyOZU<_>HnLzl
zF6$K4zK{xDMCR6ia1*a!9>C_6d}a!NGqI)t4^i1X$3DNm(8qR*tApD;@*&wr6-=_e
zAo2_{a+T)|m!89rUM<(d_Ih?}%2-Po9+d&(fK&xH;*l@(Q6qe?R7gQdUZDApr$zbv
zk3-Iz%ZZQHsDUiKxb%<u^3@=dAowt-(qGwel4kBd#x745XO|-6D}P#yjh}xZHCTzB
zF^%e9RUOzCn)o|<AMlAmw;okdFwTqMBPJwiTP%6JI}FQevZ)mjnJL@v)fYbd?UHQj
z^XUD?eI4KCsjL{h{oCBl<>iju)=@*X*ZM!k@J;B5%OS-KKlqP&n75fw!P8@$1s2kJ
z`B<{v6f>uE6F=33rUTEG*YFYa#=rD7$c6`pMNScwBLvyBI9QZPEcBk$a<{cv!}<5u
zcY~W0-?da-YVUsN+0YTMEu9>HSMstl2H|TpWM?TVh&`0%>Gz4P{lbJskAMp`nos&N
zC`rE{?kyy=APx-DOW*!tC}T%0Zpg2z)yU5D)w5C2v6OG7Mj(0r_Ev|8Bs-*c@AjdH
z@=mm!k{V}iaK8jgKhLm;9~Xz-D30c7u7o@qR(iyYOj%ny%;)XIP^;0NB8gEqI4KF&
z(aA|<hGTYq9<*F*(YPBgYd^-h(78jPBlPB-e`{=Jd;laBo+`Mx=f<@=mF&`EJ=OT3
zf|CYu9g~bir>e31tW4%ee{wdU*{QQUG}Lq=D{2FpL#P#8{NRVyA4z|Ph&t-Rzvjzs
zA-J-nbQk-Wkx3fTTQ*n~;%$|8*kF0z%+G+fFS$1_c`!&OJDhD}$XRkl2MxKkXX{Wx
zv=l#8jdRnRsiS14QsBt$L<v>&L`#&1I#T~2z-5zx-l|WDozPWG$jhU>#BKUaWd2bR
z^;u2vvIox*kSj1z1r{St*AO>)eOJ8Ax9E~49Q?xO3!Y%Z6qe%mXMLK+Dua*|xjj>s
zz}F|m%FUvVN80zh!*mbgG7{xTAZ~=(dL2>vRc?f-uzDi#SNDW5Avi$qPRZ&%F~Hp;
z&)n)vj4}%j4)p8cUQ!u@m{Q}J9ABUmMYo}zidX^goTcLbxlY3MzC^v-?xMn~|0h`n
z-D|xUUmLmnmzhxU1O&9l^Wt*m{{A~g(RZix-i{Elf1MHW+x&mEn!t~vD5MS03;JNT
z{c+;3yd3nj!tSGKWgW_DN*8Oax5?XENhPJ&vw^rB`hPaYM3iq1<c&qy0de^wEEeB6
zE80K`=RkS&&0jp5zm8(BZ0@6f5)rbNR1nY54_7riO*k-9IFQE@-FgMi9QER8>iK=E
zXaqfuN?~{=NOt;kn>+H~vb7eCbLa44FJ!ee3*3$(<(yune;Ro|@?loe4>9FlUdg5P
z<*ZeV6Bzk6oMkA^e#@ohVsTIT61d>qPRO@mJ#b{00q3I*XqN4%X<+uV0L$ec)<0_t
z@#=Xj#L<ALE1vau(iFMbA9S;_yjuS9p#NPPfS$jt-OMO;xI9uoIUAQ06%_?-IMgnq
zT4@4}o>o>Ic4!WEmV!=#nOP7p!){4C2%HZLl3=NfBTgdUBJ?xleg;p}q7UMORv1Q>
zE1k6p>!e<tGnXibcKzyZ=848TM~|Eyd%TdR+H*-tOyD+NyY}oCPc!8D*S(JiX2~D?
zdv+W)+od)-tz?h-Mr;RcOVr@(N6Nd`FGs8I8n<4T8cn)knnaShO=1o5qoIErc;I%A
z0I8~)WFFU4bps*pX1CqjN!nHk)2Nq#kI)v8w*TNf+MgHrk7H8&xR`NH%Dw^%bzr#E
zS<Asne4O{K9X8EmmP;RRTabcybA0zmP<y%fXXj_)OU>u0Yv+^L17$~?q_L*&Bc---
z&%z}A8QM|XtRk)vYln7WXv#gC#e@d~kS|_bEP%Q3E}_+YJu9$-H{~T+6HC}Yp1cT{
zu!uEru?&z<wjT<m>oH4$T*-0wUnL8*`SaZL|Cok}6Ip1iK~5+PB`qq7tn9AP7YOOg
zUA#Xd!RIW+c5^!yiMg;o?f)~h%_*0q7L>^s5^W2T+KFb0tYN*Nj>h^xyX#XL{2~ir
zu|$!<-LAscSrJWf=te*Za^yWxi!~k&r04&*Zqd5k$K|lT5LZ-$`H9ozWy=RRU7U_q
z-WlFPM;V`9tZqW(REIUUMc#X_t2OyJ8vrKl;PNfI$FZS|R+Nwm)&%wnininO`ER07
z=hQ@18C^D1<|P%@N8aMDDHke^ng3&eEi526F2*-phQhXx&Sb|OV>a2z^AMoBl@z$t
zx2Gq(XoT1OXh!i%prLBFz+3)kK{6I}!JUPAizrPUyrEXo_&t|hjMVmZ9S2F}g$)fq
zDZE|W87d`ZBN){kQ-(3>+z-P#>VXkPltQiv3<VI@wAr9H8x6$uB>MJoVKHmq!<!K#
z*jr!MQ>v`Y-9&sxmgTp%;SS|y{9T#1hOk`L8MHG}&V90QkWZoU8+m3Q{3rGznkr-H
zIF*rBYr`=5{N6!&v{HE6uY>%#Q#Hj~n`C)DWb*Qq8X#;q9Hbxisj)Cp^sftNy}&hE
z>3)ppOM29yYt3i0Y^;`TZJYbrbcN1zA#dpM9K3Uao!GDf44sv5w}p8qz%~6_=-*{O
zoP+}rCrkVNrmYGjP>-z5U^Y8$;<;e!d&`~g&#qj;!wHip<QWxvoh@8FrR=kdzBglV
zhnXB|;z4A<LrlwMx}r_*V><FC-F=>!D$u*722CPiMEQD(zV$irfQ7CRoAc%bO5Lx@
z3VFF9uxb-*T*bveNDmIk<NpEV5+B-<S;p*Wl|q>gtBj5>EFPq2x29c?fv)5H&h{zf
zti9o<f75LRc96ukd5Jd9G>ghcjkU_Kv_1ZychZaeWLhXE^QOM#M>ehbg2rOoFYgB8
z%L67=vV%ohf5sM?i@j0_<47xAChK$!G(vPeqnqxG9TN;>OE6Esx6_<QUbE=oXD4w-
z`QTIr{>c5@n?fWBF)lj-WhP^qcsRyJk<$-3sBZ%(4g!?Hy2CKVs7&{ibOuaW3p0`n
zCT#M#AolASgC|mLQ4lS6x5XhZI&9yoAj<~Yxk6m==na7&NugL!0o^}1>)12CmaFTL
z6Z<C#ZJNr8aTt{#CjRH%U$0l1WId>OW8K}FTtBw|(CazBBR<aA83gYA04G?8u$Jq2
zDd7l1-Llm6*jxPLfIafX>Id+RPGc7bry}P%@6e13J6Hf*-gZ;1TSy$`OFy-~KEvsO
z$MifOJd$_bH`)WUDi9=N7^OV;{qBf#E@OP!g6zEBFs;|8{BXXxfYvjnxbJqW9*-H(
zyQgp_f&^!F2t;mB0EJRg)DvMe26_P_LTvCruX}6$msQKiG_|msi7!&kNrgY=mZ?3t
z4*L=p#(Pd8xQy;c-AB`aNL5<&MXBu%*|JxO=@XJJ9ML$Hc0mg#y}L4VuG>|A;a~6T
zF-+x3`dTi|Md>p|zQp%J_7!fMaeM~-R#<oPpqLF$IBW^OwEADX&VAKC8ae+!FS!|*
zQ7o`M*|y&Ho9fMZ@U}mt$81hKbOdLeL#D<gWkwr*N2Gh%nJ??G;KC#|QE$uO?Is{M
z(;dogsbr`b`SRW@J(>B<*_ndKSoAkj(nN*GgX1KAX!5m^9TyjD0>kCiuvfYX`}A{v
z&jejP2KY7M&k#O>2QuqG&)=&P`-kwzprmu}S=fNfdiv19!!*}WZQ<GA5Jnv=s|*nT
z6bv%5ZjW_t&e%F4f!cs;(PLFuKAqUpbqeDx7xIN^!(C%0j+#ukTeG6$=HU-uR!E?%
z$lsWg#SzZ$cuU<?Q4W)j=0i$ePvPc5XCNc1eB33BJstedHbUk#QnZjO5bmx=BD4Ib
zz4C6m^SH#~$L+*J?^_&4p?luj9I`&LtQfZat~VvhH7q~YP|d|PC1PI7b~i@e_vcUb
z-Y41rP_WLIDb>86umQq-7F4WHHASEis&7@#$+DYegFUMsd^mgT_xi}^Ovszn*<<~(
zLi!PVJ{!@)L$LU6J9LZOo3F3{|2vTk#~1#;O+Khx0{@5;i(<MD%ZiK-5>CKwlKR|m
zlGB~fQVSHXCk<Pp4>_l|Q%yTGUbfUpZ`U@~&lk}4$&dE)LPF74LO}Qt?@L~T*WQFn
z9B$Tw=PGH*hnV|99yPtUfrP8+iFwc#o}sUW)?g(%=oznO>vUMLv};I+hm7dLFd7xT
zJh-%smh7nS@5o;IS{sFp>11}ak=%OLJMI^VMN7TjwM%gCps+p<B$b~%j-zLHqLK-~
zlD#d`9Uet*`n?$7@i&rv$HsY5)@e4wPFou^kz4gX5OO%7ndn9LcIM=e?;9u4f7~N8
z`~+aoZiel6+L3KMzFvA9Wi-pL69~-qdg;)r$ur7cnVg!6vGaLw@I0Qcx$KfP`_Yr6
zv3fH}>3Ie|IJoBEa^BJGaD!UV6F?_xF(oxHY(@Ndd{}9Ge6?uepJ3L5Pgd<o#2f1@
z67q(7eg?U|-N`rY_`JT2H15@d?Wf#Sr<O>%LMlJ7yg!OG?O&3aI_-R(ly5^oj{^a+
zn|EQ%(IH~g#@o@%A0!Q)$JVQN0q7#C>Zgzcnc3$<2++B5!Lga1?E^#h)O*x;y;IaV
zh;MFv+*QLMm)^Tx^-GGKDN_LP=actsF8J{iCT5Rt)xFdghO4X`NW{?7(-Z#FX67Z{
zzsh|&cirC#5q5c&;YU{KZ^*m@k1D^2tJ{jq2R$=h_0km64{Is*%f^uRrcd~e%8Cc*
zR4NXVlq1J~k~lTpo>#5{lnya7^UEy@#^N^Q?I!7OdV#Uc-|hNa3BB4*q(g7n41B=9
z`PH*^D7`toYtolB&+;46-z=^ovWHtOpPekpgzOSEZ!?xiX`a1&-O4L(LhWRqG>_ce
zZYh60;N9wx@ZK4UWvnTRc`o!XA=1D|FWZwFPSU)H6ZH0Tw_&g{67t+L9~QkFF`jJG
z>W92B+O$RB*0gzv7!u@GwwS>l{Tv!stBSq&g04SP&F$uzy<O<-%Ecj1Thm;GB$WOx
zlcB{8hvjo^WdbL<s@6);F6`hkEr8vgvqF52@&vo~e%B>2(O4IJ>ocr&)sFlVA66x5
zxjh{94p!j%giNWHW9P1S@;UQ||9L$R^XM+CA@<87Y$g=}_J;Qj^Wo~ZN>ZGIczeH~
zhOAe}ckqmXfMQb&;eZtvZGahq7etdzI%SUw9kto>L69-ywfir(Q(B$6$>B`bwCU#a
zYk3jhKR@E#s(n_jK;1VC^2nQ*AH)Cjiridodp^cTlEc$iUD5)H6lu_wGt6YbK44<(
zYVWQZ8FB69jC_E75Vw8!KHl-l`=ZrLT1ck&(p#5dm`~Na2=DD6IQH)sq#aPr<&)R8
zVVr*Ewr4gjzUuE<9}!Khm8KA{^EClw%KMXcZ;^wCw3slH+(W!DkH`bV$+I`+Q1>NH
z3z@6dR&N8c4}V+kzUHC~?GT|gPaf~LQ4s%Mf%KQR;m_X!Jy!*{AQd(ZCuM8BUi@u^
z`lotR!dLS>%!21<1HVSok){@fyO~U=V%2-jN(sO%;TfpcqVl3vCqCibLh_$-+jACH
zGK9koCri#0@IwRTGuWE;itCAX@ouRQBvr%=fj0FxnQ#K=1#l)}1!s~*zFd+}F^`*H
z7W<>@hTljXs?hGP<OLJ2xO?GGGxcx3)>i~_rJfln!>=di!B=%FqJwmQU*oj&p{^Z*
zrUQTCXS$gg`o&g`Dki9#Wh`eNU{um=h@>x3f0O>H0@8g7_Hm-Ik(1huprFjKo;guD
z^3Kp`4H{3N#U8$FzHw{@GRm;>YsA*w9oa7PM_-58fi#0dRlG%GxiaXj-CZ<%1d%-)
zKsm~T$tDq<x?YffXty<2VD{Ro(m8%MueUzec6`!n2kXrwrg7_Hd{T=JJlQ|*EwB2f
z7R}6JY@G|#S#*0UTs0t*3Zn_<d@EzgH)j|p5I~x+8(p6f&ovKy;=;rkq0Mu)G9vO?
z?-GTw$rsd&fW$R@B8(V@aZl|OtAO(D>#ixWu9AuTTyl9nC$0$`KpjuBcMc8K@}!TV
z%T#{*9r$?q%>Y-lD5n2co*qhiQGwQD+9&#*bIg++JJ=cT`3WxQNgP6*G;#`uRx0hy
zz^xz5jf<vza{{#=Htj=>_tQ10v^YRj+x_0(cH5`S&$kFGYV39v4!U0ay-8&e%gI+t
zf{fJ5e6L^0eV~dLiSxgHH?P@7Q6}&R9T5MDT##D$)NgZxXw0)192s<ay?9L^c<htN
z7f@4W%~@Z<l~SYKho2TbVyH!EP>*=g5VRL=uftbIvxB?9@?Pz4=Ud00o)IzAvxKbO
zqmeyqaE^Zp8#vq_^|q%JY#8#dslLVh=fO6!Aje97dK55W2(o9Y>L=Q*FB#1KlbOiy
z3V3<kVvbYOP3l`AGD^c$$kGZiY!x|iS50l)*W?v#atx#P_T09&a`Z1m@rt}E$-AJU
zsVQF%jYDPa|N5-+y+-~LUkd#t^SP0SvA#~PsGiWe%Xvlgn2RO7EL{09xmODLsjy{8
za4Y@JhK@CUx?U|Kk)p*;Tjdp@;j4roX$F#j3lL^`>Vp4y?d`imHY7|D#&>}?sjHeH
zL&#|KGWF|!hatq^CJCZJa&A|b1Yf`0L;VV1f&>vlkz4l0vc#uoH2GYe{a?XoyT5j}
zQdujo4fI1pnDFR4;nCz;NuMOX(#H)9IPxkJosG)gmYc^P%2}xXajJEM0Uw2NibpLi
ze{J6@qo?3?(M&ls%q_-G$|sMZwdHFGMN`Gbpflv1`D35fCQC*5UG>XgL{6tfEpA2G
zf?C{rBB<Hbps<_jxFdl&GuZ=e<MU?=es-iVI1+S>IXcTlN7cxg*(CBb2i3^-#-wHm
zyWb)-cX&m?D^&ub4?E*&X1|U$>NCIY5+z9ee)y_S1wL8|;tTTh&g>7#IdKl<xGnsm
zTtxjChFMn{V?I&ik19%_pxIy*$<4vnVF!s{cpwcp=Pc57`XjzJ`7n~SKizSjDgIN=
zfpBL5pDXOzl`>y5^LK+jZOtS;I>20>!&uxvAbxMjqr3v^$g`yM2h*9gnb#8Yx=UH;
z7r0^RW7!d0+69yKImZ1k?W=HR#K!ft>&csQORNd2S<Jl%D*&p{O!PACPKM}ENsb;F
zIv@<hTiFqk<x+6~<LgK<MxbYwb+u$3$jV#Ul5Qb&)B9pkVB#u_7?zt;C|5kc31)mK
zwJA~tBY~-7vgGX&xQkM(+duCzaCzBThDxKXYdExT&Dwe!NTuwTsZC8T>lrjy<m-Yn
zua(@*h5yunn;lyv|4f$3RrK8aY^7{7%$Z>)qX_$zzSdv6Py(o%u&-%yQjJmSA2j3j
za&8NjvWD)+*73KFGHK_|{#Ek%p*b5Z^hvJp!KvzL>EF=>V`1FEXW%V<qT<T!wP&Qm
z(5H(FYo2*(YLDA9%!Lebx+pxxt{0Kk3%z-YN7R2M8?HhpV%*p2Hl*8k-2d$NxJI+N
zk?<1bx{Qe+D3t3y;`WRXxMrw8aiC)l;NFm(Zkx-g=lUuBk|+x^LXw9%>JT4c0<P>G
zqAr<|Ddp{9T#k#1Y&PiTF9)tHAFIMOKtJ6<bv}Q25-xR|%-S)DIqc+(SsMNp|Ap_a
zBu~wMK`2OuWT8M^d|GToG8z|hy~>Kjp6Hjz`lEjlW|UZhfK|CH%Sd4&5+4<L1{=?)
zXZvZ<zaR`<A>0OoU8a!T7(EKH>fAB7E{3Or&H9OrfHz5j{XjFATjr14{%Qc<OtsBp
z!e|#svTy;)RV!gS$Fz*Im$l#bpS@hgqoUuBN0*{4bVF0tfrN#|CB<5XY(0*qr)lwA
zG+r|G&fI!%j>(P1-%+BS-mF-rg^<9*R+px_GncUc{lU?n@g)ffdiLd_k6PI+>V=m{
z?5j|bUA`19&x?y0qitxV@g=a&<ql<b!>yTS`#v4BsF&)FEoQ`28RKI8T(QACZyl@7
zmK_|Zh%0YPt!)h3sgJOaY-_B0=!i2KXxv}FuTHj`Y?_D{Sn1?CL_*d#1&gCdgp@9I
z`+q;hnW$V1v@-;wjg#>3Hi#t0ax49}b_nc=U4<jwVc5O$t~(e{P(SPq*I%N~>N}Fj
zOuQ~=a7oYM7B4d{7sOuFOt%c8pCa@d&zit{)Lvwlk_#X`H3vFDZp*w?$W^yAF_0ya
zBdP5*K;RTEYzGTXlhicpfwM_w1O1B%LEw&z933Ose-sZ3gpD-D(C8ONLd+=DM+w=7
z<G=|ogi3=ehPF^AdDMlf^{dS@-59pCOd2mJ)rP=RlOFZrr4PpU2jOKE94#cc_x?^h
zz;C~fI=@&vB)Dj?!GVvx>wm5I+mGiQzn&PXB0;FTRn??;kgU4uU!QOQ)fN&})%rPU
zOC9RSrJ$cJ-#K$jaXID!;gCx$MOEbwhdVz?5#_6L(Eq4wO{znufkZV?xPPBsG=n;;
zUVQrSANim|K>P2`^r_Z_)WqN66#9I5W1VT?h*`E)^)*<x0ulAAHkAPI*xcASylULo
zs8^x>&jfr%f8?7)HsBqLnqxUoM(N84Ak&BN(5#<E2>%h?%5F~T`LE>^L)UjJIR{AA
zf0|vp@3CDGUYpUFbYA%su!6e8-?HG*5|wjmgmqevlY?RdJT>A&7+{<V?mU0>s3Q8k
z#?|9no}(i?Zu&2$q~#0-88UM9>id8^EwN?PW{~L_T#9{h%YrL%T3Q_*ad?;a#4^gU
zZxn0F+NKiQq!G#=)WdK@8t3G?oF0Ew<xQpEQ0XE;XsA;NN<zjoax;(@_0~H-Z!1Tp
z&EqMF7-j^CahJjfN1{5Ek4>V+r94yiD#v#&Y0K{BcGVNNJ3qVYBF@P=u@}}P_RSMf
z<`5=W%qfE=x?TNX5ZHyw<T@6!ot)bO9^Q{V<`6lq<nisottF8<22`96!08vDHq%>A
zGCBkZ{+nC|9zLJTbFbuF7}%3Eea!ixx;wLuzL%pgv@Zosm;4~l)X&I7$`SQrZ$KOn
z=6z|v8Z2<Jn<QD(_i<)04@Z<|g&pGo%vRy=2Js$+H{rH&ehm&RbBYTt9hccVBP<<9
ziJD@Gm|M#Fe6o|f{^&N~+Iwli+$V$Hw_{Jp#rp-lp^8Vrt{Sz_DE-h9ci5h;dt4g*
z_$EB38Ra$#GYZQEm=KB0E`(^n%2XB)Qj;YWEY_TLvCOE(H>z?&?rV>XDzdlCl0+H<
zJ&H%=6Badf&Zf54gq>@HYVp&eLh842-9dApM~)2zOAlB6qs>NdVn8joehY5CG5;$n
z;7{uP<ecbolUh5s<O4zp6$M3HKoKWW=99BbQgv(zEC=(IlBI8P&wLLZE%fa1-?dE`
zY)&&E0?}>PX|M?J@Yq*?WfaZ}qs7l|@}c%K+)@tM<A)uQqp5D_fHmZG1pA~w7Tb1m
z$du(_F~{n7lgQB)cv_F=*oV!v-8_62w087&EQfv{qUR8+f;)v}@i6MtP-5U-gj<VS
z$thbD*gIy0Znj1E1^2?u#&1p3Rd@`8Ts5?l1?@Z3op!}y-%K}s<<`hvfqbxa3t)B3
z$WI>s$<r5usV5l+TK4onP^$1cF#6Qg+TG67^jr;r_tu?Z`K9)j79{J7OQG$7hXWRY
z3EhamqM<^>MNrDc4;vfyLDS=*P;X3EZcf_(3Hd3mO&`7#h;qYli!Ss{eFT(kC!3J{
z#e>+<gZO4mdd2(TJ>rqogS%cki=>I8W1TYDT&Mu2)YyYJMb;w`JI@1A-?dhlL@?sN
zAMz@oz$VJxlCXb&#GdZ|^d~RDX1J9BKeZcOyBB-bu*33+|JUW}y38iAf&wJRWc*6e
zrTkCA0?~5R=HvtYP5L`WkB|SiZ2Y!23<dT*f{TfsK#;^ryJKK%gZq7jp1YK)1(UwY
zGJH>BAU=c0wyTr}8@fUWR{7N{#Z4<w0R}$JBhk{uwrI^)g`KfJ(TTCE&<Z%0!b9X+
z#Pwi3UX##S3)0f^33A@W>h?I%cDE<&@Sd@8k9tj%sVQ3&Qk}D)!Ck%PpdfT8-<$wZ
zsJi`fUn6f6vpJ0|Gp;8RblqKZs!|>mN{R7f#Jy=9oT*dBBCXu%f$kz!9X@myIKaBg
zq4yW+nKygqur1SB-1u(%9a_WEB-*3sSZSad5HoW$g`Yn8-Ub=*={L82eo^Msfo`v7
zuC`;_x-+iI5N?)~?7wl7SrNV<HUV)2I!K7xe>d0_GZ_a6?5VQBSv(XbIMzmm8H9f$
zZ<Q%2x(U9EF5uuZ5YwVZ!H3pfbyDkKu|p9iB+0M;25l|M(J1#NhDtj$;MZjp1=T?d
z2hSxBfvY`1p|!4bBsaC}G0z59OPgCuwO=AYn?FAzSR35xzx}SPYQb~r3$hRP%?iaw
zySQt=YPywxg(yk*Y%*rr%e17c%Wj+zo(yDRz!uENVq61jjJqrG)Zs70c={KV&N|tY
zlF-Md_xMGBfCUl+%d|90Btdev;5^;mn9gh~e*=}Dk=5gxvwq})C$4P93pV6tk)F8K
zg$DB&f*66IB>bi=^T1dC{~UB9F|%rT^{nbG_Wy#H|1*@$^0SuBS<cyHY?N#W)r>HR
z+Wen13H9Wqp{IaX>G%N^lKj8+sgu2o>l1)Uz-ZgZHmr9F1tJXc-*h%p(h;rwEq{Vv
z*ZBQU0aq=i*WwY)ck|`hA1U#r)D+z%g!Ux_daCVmk8fwRQ-k`El(pX^ejonfx#jrG
z9>#WW>iOH=TI_f6_z5Mpvq^l%&%x*8RLv(9sSf+m9~W2$jSUCWF(DG=+(ny)`j4he
z0^<_#pB3WZ0jT1N-@qYPwi}=fZD&lTECDDV*Mss^R)qpt%~-w8D(yeN97-GKrEc9g
zmMYf7elvgV;-7~TpQxlCIk2USInV&7$1)4L5Ua0AKcRG_7f6JIOmPz(Zfo2mu@2%c
z)j-(0ZL$wT*Wv4+OfPXpSvJM?aql==^CR)ka_Y*4^aMm+Q_KhK5LbHB7OSn1$jw^8
zXd?cNPDQ&m$fSxW^>#`TF_F7=aF+*a4Y7~>xGCRIkB{e$pFhn+hc`dBOvXXMrJ5In
z!(kvFGIr7|aWLj;el};kt#wyBMVL-oP{*#!P~o($f&11c?;KSU;pkM@959@hQ5;#C
zeINEy3qWYCw*c3}!rD-Qi;=p|l2Yb@<LD)#UVEi@AM04zL$0{L+QJ9;!qD8$V_VIv
z!<M&(%T<#7v8;HnpBO;d3Zq_S3q5P75Y#$RDX+0|J;hnB_}MB)3G1t?^Tc(_lyP|0
z(Hhd4@7Jr`%)4i`W}qJBWGsW^>L7~7Zm~Z^2G=u4j@ma37{PxugdX*qq*JOfTF61^
z6(S3@$TQiA(Sp7j`Rlj%H7PO55LB|{$TXVPCt5`7`xEW6=@@_Wc8)Ie0OL;=Z*UG8
zmM^R<r%?%Y4$5m~8nj!DPuag8C2(?mfhG9=u(1l$<kL$L#aMsP!=d!~=9>PXUD{v^
zhY}ki&&QXhB0At;$AA}T<3ppD`;%xboz%6HV@75jl1EM&M^TCfb8%nkXOYUCUtzHL
zpI<0VJTkb9x+LM)u$GhZKh6&HpoVYViua-oS+U15QW7ItGmmr%C-}kL$FWyrptIvI
z2}`WT*y#n*5_~ua)dHv$o?1u5a@hguRAIn}KKlE{@&kynh*AoIC;%bXe?-vr0X!J+
zYs8djyl~d=uu}+M&@j((S&m1LLnde`SYaTvJAPoE)g<z(*6a&5xnVfj!zFG@?ovjr
zG)m07BUwM*h>{g#-yaZEQxBL)43QY3@y-9(N$3^nJ{l!@Ordfh*IJnj1}hRr<jh1V
z(X;*+drJgq6~RAG%lw$qJ+z22O|~UtJDea4Q~gUqo(x9?H-KB|;bo#{7=IG~XWtH`
zj<R8gbne|tm;rlku|Tpd3Vh!U^-=4aja$=g$`qwj1E0e3nt6u#q#(MoW-Hp1ZcV?Q
z$w5o8fPwz#Kvi8bmr^O^G`J8C>&(>&sQeds6(aHRi!kSI7PaHx#c~rBY*2V0PovgR
zPE0QDZRH1G^A?{M!mO=ay=zby4*z*JI3d5tymO-zviy^5E~%R@zIQGg@c`BlbbGS<
zo=l#1EKK-lw}2?xUV{YOowiDCxcAIlUdwhs{z*)~Ml+Ka<pWl63{}~uMBgK@It*&3
z5Fr(5(sXSY%cm_W=*TP{DQM%eTwHoOfkYw5kgBb)b?G&W;~m|gNhT7Wj7;~p#1pX$
z3*oJc;!MdoqezxEhG-qbheUY81KJpW%ccj3Z>S&#h_=gdMj7_~aGVWwl}}a4^DT2Y
zhF9={2TZhZ?6XsudtN@Dl5XQ9D1S~rT#Ct7qS?KvpG=WfpK|Jz?X^O;M%tU+s`|~W
zK|hUp<2(t*ClJ|LnEN*F<gVsv0HH?^f)@}aikx`HTCKsB)g<8|qe7g<B0<p!3hgA8
z-MA8dZjH|OGpsNCAl@T8P6_b$Wtz0qXoQ4omb9v^yzBY`V)x(sFr4yEx@noFqwl6p
zf3EwQLOlMt{Ig=SVXk(2xy4WTyhy2XdBUmPvA8nO7JlQAz>xQHaEi4c&?9m1D^NAy
z9W69#Fq4arSE}{*_@31t#k~^IsbD2XlJI?B#Lmz8H`L$zIHh7#43V;?mbhzYwz2-A
zMzh?79bvpgs4mrU<hOYASuN~1p0x@JSQ3#%Mo(xhv8>i}#<?-T*Pyx*NU7D{Jw9r(
zb&h<i|Iroc(8%Hg_ud@bTIZq}FYu2}J5F}xER!o>{*^wnwXsrG9qCDuXE4BBHTayO
zsCLC6IGOU?-rYT&La@wk-~@aWH>&z_WWWkiR1LQN$(&ylGuv19nuRduf>~zV-Xb;l
zAlmvRd4GMUX~9|ePdD&qXgSN&oWJz(Vaz)v@Nj@utq9tlH>YascR#N1T>a6s))$13
z7!=#JLV_ud=X5(X$85&zZ9@LD+#z9?WnAVUJJ*zb3+8+^V`dbNbnpJ5+In|?Mg&_2
zkW=$w;5fB$2(>LgvGvy6jN|Cg%SgS53y=A<Q}y#I7s<bFu0vjrr|sJa8+(t`Ld{&`
z=-(+5ea8!+YgQo)>mx(|DYu(Tzh}h9mn4Yjmghe|?}CnF3~H?Ys($g)-<z=_uYmD)
zjU`#3k$T?~UYiQ+%xH+()Os>Cw^HY&Lj*`tkIFl<a%07I#?0*GeP#_VU*S637qp#p
zBRQo+g)e`C5cS?n>lz+J<f}!whM^~~dW6VBMG;)NZD*J-Awl07Af(=CB@vzVB!t4l
ziGQGncnGWrT(``DKef3VoJY58!~b&yARei*f20K^c9^k>!_j{XAe`U-AZ%%rPgn$j
zDu{A)^#390|FvEK*V(an?f?}~2NND<$V<Q<!vaN^E?*bK6B>*Y9ePWp5Q79GolhVe
zs&)V~<1^5$CM8o<+=VI;y3<~ed`qU^26_w#2Tkh^AP-$hc!<whfk|G5xh>LLR_IVd
z)CnQ@C%i?|Z1$V%p9z;f_!xQpZ06%S;N4XEhzhesx$|v!7N@G4ID9(s7n?@0&zua@
zGskMpC1kwuj%S5mr@MKVsubpJvzaU-UBsnBy!6MW^`4uUSOXVJ+tc*izx&?yx2P$9
zj7{Mq?oZc*69yR*?ffw#JSd3OC$VT&bhha*%zt@zE@ny=>~JlQjS2a&Low|R(Y_HK
z<;Lm<5v~>eqqE#zp7}FmDX-i-zV>w&%#sSV;A#<h)5xPt@p}n77X!5O%Ha$QTxM->
zgdt{vrUn#>V{n9-e!jyaKSpLuR3;7B2Iuu_hl&?MIexL`J;gZcNWgJqD$@S4tC|N<
zmx&rr-Ljp%_GgL`SYZofOA5^Nwza8`0{tJpc5QsA=hPPmhf#GG|M93&`IK%UsM6Bc
zM5oSDo1`EL@$h*!5M^D^+#@H%j(p{j$3^K2p*gCS?i%SA-r0_@7yO}pySs%P(tryd
z5cpI(Gp@i@nK;#Ir0Z_fSc1}lrdiY&ofa8i0SVGwmz<iHW+D04Rr}~1-XiciZ+khZ
z>+5><L&sz>yzH-hVT47$n8}5S_4B>j4||eUl4t~yoivY%C^+#k*YL49k3d3pxQ>f;
zePs%=WM2C*L10iLDG30wYr)uWK-Xh{Jc+;D5X=ctqs5v~{C`ZHWmH>j)3yT?DDDnv
zffm=|Uff+u(IUmQxVN}VafjgUuEpIUSa5fDdBgpDKfe8Qv({cKA+xWUbIv&?_VF5{
z%p9zl^G=`{4gd7Z+@}>mQ_Y$1{$ca<Up+PVE1Feg4piZtzQwGr_OcodWYQQfrOoQ+
zE0N#<baTTOhl`nPuWBpVm{E^vNu6DA{y?AkKr|Yb@%6nGu`RHxEGWR8{-?86{qmYO
zXs)2A?osZ;J^zODXK)(aS8B^uQVjFiCDh5W4TA#(M`fQfc|39x(q~}xb{N^);0yVg
z#ia&KsBcY4AMhmqztkF<X?%7)i9mx6Q|v~?-uU&rK=p<<RXniMhj^~Dnn6d2Z{3bd
z{C~;y292=Kr$3s!5&P<RZ-%K#VU^{mk7l3kX_&^d`bWa=nDVlIn@JG)MZ$YgJd0nm
zEfVG2&b$*55lr+eWF+z{6cZPY8TwN6+iW6L9h6sl6EcHCeHnQ23mdP{`_tqEBt@zq
z<Y%zLG;#I=6<!_Ez0C4VKA1#edx|`B-X(zPAS_NA>?oZs)qA3Vv;9yuhSkK5(FPw}
z?TaJ~nvScsGfX={2hh$Xstba8T^29k)5YZVfJMW3$5+21bETsy1V)H&C49W^A9R`*
zX#;DdYR*iN`c^p!`%7kMRU%^<R;A&W9QNa5uteHbVN>@t!z1gK%Ab9^IGU~wy*3^8
ze|^i0wk=KFLVV)oWi#}GiGTPT^k<sz`gyt4CE!b)0%(x$dpk8mAee-9grP{p`(t3c
z1;`4o!eBf%;;*^2v4IrftV|W-%=&jRW()>P(1ozFmSJ5C>Q~16bBjCi`ye3Y5H&_O
z4s(w4Zng$ZH*H2FQ_8nE6;=dKkpEtEIg@)mw>l1h9bX~@jHo?OV9X(~SuR-2tonKC
zrYsJ%hKigOx7JnS3VjU726PV#3K%i@<k7hxdMQDtpSxyZkFOW5Jj!O1+F&0W;0Pfa
z$}_r#7u^|Vxex7aZRF$YH5L5cL(#{wfSTC?&@LPj#K*5z)1j<=HyblX!Y}p>e<oiH
zX|(PHowb}J@x7e|cZbH;IKI4R{x|{%isb5q!A~{@<MebBX8)SaYw;e-jcUa7LDGl5
z5U(xEJm<5^#a$1DY(@OaJyxsMh5fBG_pzeu6zhmJr<R9#UW?doXO)&Bjcg8Pk0Bo%
z0>qkmJM=8yC;O$>k5?q>Pe+dFg;&u0vtcX#Bh8@g_fN;YjVe$P#e&^imc9C4Ga6Lh
zFqq;-6EF@vE}0Q+a-<%HHj56=Tno%B$1nem9H(<H*pbz9&hQLqEM=hYOpTf=D`;(g
zd=wh>|CKWOoA?w|Il3&dJ>$Y>D2J?_bNdlQ_G~b>Md0`rI&D8Bb8+%AvI+iUen9Ua
z@g>+mkaX2q^O~*hMzFC_|0i`+5wuP=;iZ5!{C%<hXDNIGeE`mSiW&UQK}DNEgHVu#
z$XnDHZ=mlnfl7Kr#SVYLi`nL-&5iw|odsYn_O|LqQ9TSD=u)Kj?dCo76JVt~|8$6t
zwuKM=dpHyPOD%?ZDvQAS^FdR8f1wIhorgokUQ<<l7FQzESq}@YmQnbNo-i0!CKO0{
z_$*f7){t1(Yx&S)NgOK)=4<ii*SA3nJ4WFRac*E_nDTMyKIzrXU0|yy<BUoloqQ6G
zvbPWf$PKT?%ev$S|8*9<KNM-tQx1i+3Fz^g5d$P#3!}K5(p3jsKJ|L9fg33$uHnfx
z1W+u*Y$Hk3TtZai<n1g3Dson4X}3^FMuvGVITurqk?$28p(%0zZ#umNHvEuxCb6m`
zS(=La4u+BWDTODj>DmPr&iO?`Z<EpTQh5$Uf|7KQ^D^Aod?&<+z0%k0(OHWxh&4l+
zd2#Q%tojbhy`0c>43Kg$!-u*~5hdhSI%2Ys{i)Q8Qw!9RJhsG<YPPq+6l1XuAs))>
z#tGTjS^CMxoMT1|FP7QBp1KQBkhV{ZCPcOv^0$~G?KWSvFfmK9=Zz{nG8Y>C*-n+3
zXd@A@%kDVb_i;9deYHno+Trv7dw<Qhz;=b|gkza{>L{HY|Cr)y|Iw9^fQVC%<wD9L
zwMvq_GnqwbI(SDIvLL&=J!5wg0>l(pJ#2Gi>Q0CnFM?*m#%)nY6>{zJ^|&9FN$T3l
zwEjlGNZc!IhnTbjP4646iu7BvVFNPK!=^i6CR2rOF~{@ZZkmKP^Eia!$3G!VX1C2)
zvf^WXq8kF>O4#n)QWzcjq+iE;RIL=F<G1CzJsLMZcRsyab9Coq&|W<j=QaAFV2#Fq
z{MCh|>@r>5xLf}EZx0$^d4$b<5p>fdXYYBZM$BiVV~jyke_C-EYkcYPJsG<#Gaf6m
z0O;4(Pl_=}bd2lbz5kgL<CK(NWtv8!Y4tDuPZoY(#dyC@xtIKCq8TpAX*Z;LpF;|-
zHr@mrd#fCd$$+@zzOA*ww=wqrU8q@kEgv}Y{&ho8LvsFKw6LOTZR!@<VT`4`MakPm
zh+0z5-n~7ctii%At02;a4mA|N-9{)8)m~R}3P;67|No?(*96-@5KW_9IVza0>NJ}8
ziV~F$18riwR?7{vLlr}T7G+*(N2{RRt*WfJo--vkUTOioKQ5mV*H9n3GP{XWcPdC-
zm&2^!KAV7U4>iRWk>yJtA4cA@;I{IbH#8=A>$)^S(<i=?t61;+8A^*?UYy+1^%Nsu
zJ{mydCYmZe$a`8{ITnvi>QQ5lLSCIl+?~inligddBZIUS6~I8V8ZFx~Eoo3`(PpSw
z8!YVA-k$jIIW2>F>rhd(T{WzJYf4&sFG4Etf}?LANW~v#``0v4DL;6>IZ;w_X9|aZ
zRHQu+*BmTB4ABMx(E)Nd8I|Dyhno06+ATiXD0U?sf>RA~FN1lI<zh^hXU(%(J2|5_
zTIO1Q{iPDnTYzt6^~f9ULm@BThvJODmPDqZjDnQK;}cAdSQ$$5f2HgZv?W;*1BtX4
zJ5%n=5&FaA7Q2l%(=?!lvqciaM(&>*W)GC|#0(t0I{~@!QOS}<$_84kV%ddGn}1vW
zisPEF@O0rz(DrtfRz*u4<V%q2|6;nAUL#iRr6QA^*@DxC0*hGRqh_Luo7TflhnLXe
zrwru_@1|J1ER*QjN33a?0y9w2&mYk-#&?c@{L4o5f1X;eYJf{&FG-e>3)gwDhT2UT
z3y^<~koss%9j;MGOd*l|vjY4=>zJ3(e0M>WQELaThcVwyl$Zh3BPpy^<68IyaAs>t
zY>+?tZMy!{@<`D;Q%4tS-Z8#xPRT!9TfeGCGhQE8k!!F)spx<FvI*@UI3`10|9tV+
zOAUg5*W=O6aWjZL>HX`9?a?;^=G(vyNnn)2PKoe)H&Z@ay074^{VaPkaMq>A=<<B0
zBdl!wk-xcC5?>zrLCx^5{`#v}vM<yh%Num4%YEyXZglJX?;pO$fBc}Vo<f-K92$1i
zST|^aiqJq28ISY5aOv2b*aK<!X1R(pK%RK`Io~z2v4h;ZoL~J)b-mK;>4jNl>{_Ck
z*WXk7uQA*u?@p7^p5iczWj|hXON;&M^X+ENhi4ipg|zpX<A{mF0S5;bZ<Hz5r}KUc
z7aV9Nw*qGs!roblnx>-72c7?eo@FpnEy5xqpcbLfNjw!QYG~l-Pu#+7Z*LD6??t5j
zk9+0dz?PDldftPhxb}28-ft8ofKUN$NlbZb$#Ob=_Fyf}GP?_Zs|Vr!BUtr3<fEr?
zHUVvPB`Mh0wZ%jXxu6sALeYc9EFL#jIxY|=&B`Az5|JY+b|l2aXV0fTA8uDXnBQ0#
z%bu5`u6x-*H!a?fSc$;NKG{Aj0Rdbr0-LC?Le6_2$T`>AU~a=46qn1!a3#?|cv2KG
zx#dJXDLVvfK(23uXsv{N8FEnS)`L{g8eGVlr#IA49zjF9EzHWU?XPU+`n~}>Q%V|4
zlvv0mjhpf%YJM(0T}*fP?{5ww)}G~=jRYND^9jnTHvQ#r9yJS93ejuz?dz)5Udduw
z(viGN2rkosKWq%=N?NXGjwi0(h(fYH8OW0E$Mt^k0Lo7GCU;p|7Z&zKFZ;ozJ6HTd
zJVo>4j#z+_NxrQlQyY_<*FpmF`+EuZ!ggfpbS{%n$Fnh1X)FnD^AVS-RhX}E5EmeF
znI^$0A4b2k)=HmFGwrB|UlGW7ON>CdUf+mZY&krogQFV$GIZz1)7Cq8Rji(dxSdFG
ziQp-;Oc5^=o}#h`g%}V#a~+2&g&uQ|5nr7m4Vwcfnz_3R-JD@0WlEYHwX9akNL7^G
z+l`y+G;$*PSbApi&h94ks<ub!U^hHbN-Ja`C%{wWJtaQXkmKUsGX<ZD$VOq8hc#DH
z3T&)$sV-y$`2Gv8gN4~pK~4JHykiV^qWu9=0X&MM3xGHFB9{oFTQ&Jlx5W%HjvJ%f
zeONDaDI>T*U*xGZend{BE5Kgx-nwqGfyW7gWl~-5ZO<f&xS%sEGU>M1GZ8gNVez5B
za0#S=^aapf+p-vvZ?%{U7npfsP#qnRRHNGxt32cu%nnq*z%+kKyGS1+FdycPrMBns
zPhT02LNb_p@*8FXbUIFQxGxrtAA>VYuo0#~M*LgEAE!=u$W~V*fApe`PrNf+N#rjj
z#W*ze$#5+cF`YNQuYSJl1C4Tf4N2*!aRFbyH=qM1RunDUAxs-LGU>5aMcDGSsYaX&
z8#ew{R~N}lppgnAqgpk}$3X>M+aCtRe5e+dF^qAGi=P(q_>Yz}gUn7#4enFeK1HN%
zS>ap+Xo3|SV%f)-<Vzi+bvKO{8+(yHfRKnxjvKq^D_VVj4kxV7Y1@u6Rs)p2eGBS%
z+GcLN-${i5U<f_2q@<(-7DLB;HfVZMA-1B*xH@W18~^DYJ<72EvCmp-jVT$1yLgO@
z8#O|_{N4t8cg8b2z?)nvu0~94p7$5G&2OU3DWyihTxTuA2qVy?F%{Z@vyc0_hz9*b
zh%rKpCbsI(aL_mdISjN_l55uzvSUp6s8})3lcw}6MsN^@CEmM<Put|hC`Ntafc3ed
zQY`oJ=2n@kH$Y6bN+!UHW;DkLq6}&zO1MKW$oFpzb+A3q4U`(+?l%laKXJx(qRGJC
zXBR)2&-&SHm9fgB+tw-h(^*2yb_#|-xj+K3#bN)Y7Q)A&yv)rgI8N(cxqEe6BrX=_
zQgsm+G3{&!<AwG81J$C#H<|FD!8S+Eyggou`g#P?nS5!t83aB7Ivb@AZ8HiaLq+h6
zB7zDehf-4lrC0vH_7hx{Xf73)-6(cfjyzOBsFb5-rn=_EEsM17`MY{TtC14~R6(QZ
zT(^3>bMkRCk97rv&jLRu1vb?lV#2>502G6$F|<~f*Eq@bzft%qzaaaAfVl_z8F*zl
zv~gNVG|~B)ZhK_RL-6n1Kjws%co~Yp=A;zr7DogQuFs3dRqSn5>nwsLZwH46PGc9b
zKt|zRiF5>+=3w^=$BKlByKQzY0L!vtW~;p8isPT8sA;*ns|h{dI=yqAxM=PKyGmz2
z%D;cgr=O;UQZnRCg>pzAdv=Gg@{N*xv+GWmTOO2FhFlsb6Qd@5X2Yf6Ilb61&UiW(
z`azBJdvo>@A9ir9T?)9lKFJi?F#hAu*XB&|B8cB~(5n_ZLOdz*;8G_7eDT(vLDvwd
z7&nN0)r5DfAk(dt=&>*_uTw2Rn;VCY)S?IPc=XBMk9@rTP+)1gG)A*D(puw@wtLw~
zDd*J4C#J0yt!zi<nbwz>Zc+Xv)G5VnzG0Z^?)t);qjh7RElqA?Qr21?H*|9VBHAyP
zer?$?FR5elS!stzebp|czN#d3kba)nr21v0y@W)yPpxY<zKmMn??qj{uZS1HPQ_3j
z4_TV(08G}>r$^V)*j&33Y>?=ZNQ6~#5tG(1I8Q2HGw&Apr#q@Ukoy^8K*E61s<tZB
zg`57<OC&B<Z%sc{)>dvZEEErkwHd8L0+`otUW0T<Y7FK}_BPONCS+ArS^i9j&!m$i
ztC;*{`;0>j8gBysnw98b(Yg4GJsY6qn*G_^5eM~%a(z4fT}+q6rX}GQLkRrk=N*iR
z9AF35b%6mW2wba$lTe#iLOUYFFW_pdP|#Xe%HaP>z<HE6E~EX^S`!%D{pL}$K7xjE
zk20VM%3WiT#{uhkFluRQuRFJ#L*W+A75A}&pB^3`1AL$nDk+#@?M{&J6FLZR9@O&I
zX_sXE?`fXdZG7QseVyUW#n2?1^fsD*RP^__*NKDc!+rq_pyLs8%Hnh|)3(!bSl)7$
ze(Gr&wR#x}k}A3y`!uV#2z04pWdECKZjMTaqZpc!dhlf`j@<>n@(YNna5R@!E;e$T
zAegwg4voD^EnXG!^E0Swg3N^1`NOQ22$8vZ!Z9&<g2BTTe}3K0gZ<Z;a1Tww(z!;$
zostnnchB-DblzS}TB2CTuT}5NhmX99EOT2zh~p|Iq}|t@yg+@8#Vm2M1l-b5OF)9_
zHUT7y)d7I+Y2$Cgd_!puFQ)V#DXu^bG)#^Y{IKuSvDnv7>T;HX<FXHV@~l&c=~|WF
zX}asAbh=j(vAW$q1-*YgclK#JyZt1zztJEr`)eO13=E|^i6a&S;Bkw!abjfm)yd7G
zPqo`tn&)scp_Y#2CH6`n_gjQ&VGZ`Mlojf@wk6ZxSE$RXyp||iV1Vu6zUF5<eBaKV
z2)zjKJiy<9G=<h~FG96U!4lsz*+TOjL_<{b`8Mrl|1Ty;>9P|&w;@{HGu#Jk{lv(1
zrjc0JMv<7;O~iS%>v)MI0Rc10NeE<|XuMz=87WeFZZ&67&;Sxd_%Nm+U7$h7-Fn*K
z5NjxrF1Kl^oM4C7s$6!*pb@}Yil6CmwUQLg-23#+?wA>TyvXqn8O14&&DsH^Ipce2
zx#jS^RcvI}+KAXuorv99h`?4KB$XDMCO2LoJ}4-S7h*{P)-3p*dHGV^AZ+wtTfX43
zaCM8Hs;DaGXLE}eZLj=%!bA+mpGNr6V(OmMDl@8yGc5{f^oRHRzZ;s;_^eCyen(Z|
z<IY0&#M)nXodU!%naA`V_`2ta%6Sk!`Um55tuOrGP5J<n@3(urBZv<8s3Q9UfA_rQ
z{SlB=MCrd+4cqweM=JPWi4ZHjACFsV*o$@Ara~(8@EDa~0f9`8O|X|y!k;CXEUDjW
zPg<e61FEfJa_plKx!cI6+7?sc8=f1F&*?lY1k)^h$1YGR;a6Ki)z)rerjC#|Ob<1S
zwNi{}E2J~r<8Gkh*y|T)haRB2E1s_#1Rb4dT+1w0$rWD5mQdvC@N;aoIy83$vWsbB
zI&KXPszT%Z_Zz|$YP+MaKk`)tvw%u}K$V<+j@$@0%*N-NrSqE1XH>x1bmj|g=Ihh$
zZBg3rw#Y|J%ok~>YD(r>va1W#QrQlF@~c9V>Sw=N66o{w`CF{u0BfLFD$<<<DboFD
z+*`PwZ|xU&Pgey(@PK8nTgcs1V!PvnQ{N_f(g<H|x1wX@3ll2?fuWf8PzkwvlR@ZJ
z;T#ZDp(V=Z9xcOyoE%n2uH6zE;HiM29JuHalCK+0JvEQ~eC1LVL^E(&tG+vh_fN1Y
zJhf1PH>cz%G}uwULBTpnbtYQ&64M-jDUG8m^V43*mno+H)r4L-Y)6gj2aP|Wd`3e>
zdH{9FMWFu|TSpx6hg^~3mN~{i;?3-~da>aA<xFRkd!}M{u0-#W2ByRnB1YT`d1OrM
z5LsB6G%WJfP#{P)eZ&}-Uv8;9PLr!ZCgNJDvF5YDM&NbWEc4FPX-`oZanBz@&OKtu
z``}{zZOq33<Jy8k>6uEIAVOmQ>53_a5#oZD@tctK=`Msxw1(VZ5g=Rd#E;&S_Zru2
zu*1!`1aicF1kId3msH88URulIG-AU|b_qTsxTDkwu=$>}tQbru;#W5un@d3GP>~m=
z#MvbltbJWbuJg9>Dx}R6;RZ>=wOH|U98e&KBbt9n-h&Z49a-If(vE6}(yCbf>-uc(
zo?oM#Ys34{I}rnYv(m4iwEUX}29;0O#Eli~rUv=`atS>IV&EkpM+>YkeJ<Zla~?6D
z&6mwps4<gLB5Ye2zyY%eVrVX|tp*=u;|HAC9BKAZCfqtIQ?dhhhMkFleGx%Ys@Aop
z*<|5gPJ@H*UHN8k<Lz&Py~es-Xv2pxOul?o4B~#xyC`}Mh_>skx2qzrCLm)l*6pKW
zBo3WBIl|lT4h)L4A8NpqLHivK<iAQ9+k1LyhN&9AXZ7|1{HX5WkRVZf?0s;h`RW&i
zq&!NqCA+Omc7mUJ6f=3pGn*OYuxYRe=!A@ltX19ghV{PqxM-80cK4*6Q?BWV?@CA1
z%@#}u=)`|oaz;hTLjcg;q}NI19M1n`!n&wq_4`;j$p+*cydgTZ!W(iVF|Lqv;o6x}
zmW`vx{cg4t<i5K-Wr{F|bWh5Fs}&>h2;0DDwG{eE`4~rz&b*<YUBiYrXOJs543qD7
zbi5=n)BpfD+h+FRxkY$7X*unKhDLn%G6gh%Zc$?7-bu5C5amrxLLFv3?ZW?MsDKHq
z(5!Nh9kkf&=lIm?CG?MAA@k*`;8#q1G&lNWikWx-v+aMCXurUJ^y4ZL%Z7%o!(SiQ
zoS{<DMq|K}Z~KR}#j3Xu{tp%<b?Cy4mYYN{<%pr&eL*LdQqYpN$E*vfRh~$rC=*pL
zYWIZ&#l5p)KTSUtcVuEFqrVDvY^e91YWu9p?&%ARp}>{K!pkcXN|Ggb6c4>tnxB%L
zaW5Dp*=+Q@uv#H3Xo$`etU6KpTgaD|U|rDYFn*ENcQPk-U}KuLC)nCfBn*0CFo<&o
zyyxB5N$VRkKL<<@k|VQqtVn4&e(DlXcdoiodlYZ_TI5GF1sTclD3iSkKBc43N)XMy
zjJ&SHc;EwAMPOaKxiv!jd*n2{jP8^YKt4&{kmihv5Tk=_y(z<4w?Z##C@1!`iRt3K
z)_(pWhc$aYzr-co<bKn>soDd+c1OmZ`9Pk2gxpBpFsWfj<e72NMhl2u>9nN(>0G!J
ziGyNA>C=`hn-(Z1q#T;T=F!P0(j;nJ5<#=9)Rf2h%ke^O4VB!_2j0Y&ks1~)+f*r<
zAQ3A+KM$k~wNY<^!@$ATi~J<;vS&<J@hy%xTdd^qWcS7;E_06HM(tww>JC;1WDXrE
zB<DR8@De@d@^7li#XRK$cLdlj%mKN;w&h{ZO~VS<z>)6u#Wc>Wn|!Rrx8Fe_$~h#?
zj6?iVDy2@517REv;2wugHzM)H%0b8$N0FY>3GMcbDc3sVgy%Tbqec<oSedV|jf&5<
zwTpgh6a4cFZ=(;%=;@^UB&VI7?R{xk!T^Hg;<)+35wDfrecd~VC6j8Ue#<<91bKrr
z$rm}`x_M3=7oM@Bu{K1@>a5D}_Q&|6&M2zau}<|GDjJXofSHH=r1wd-=dlO&G58B$
zCq`fsuOFDm)0p(l?OpG#!l<U}@#rYG%N)1P7Xw(JUPc7*bSkdEi$e>&)f90mOYehR
zKzY&9ClZhXfpr_Y-<+49xnLjPK!$>*==2d6+kU1t9{3m2ht~SF2p#wM(ak4ZFqGx2
zKh1~43R2CGajuEI?p7OjCfE0sCY*jsNjnbaz6I?I$b9U`I;A8gAvurDe0m4SDyH*(
z+We5y+Uhyr)8b?TO(gq)8UcDxBB>_FF-yZ+-YXUG-x(&je7|s6wb!Bl5A^B{fBS5H
z_a5aj47{?4JX~$JGamy@YPoI5-<~dab3MQ=U)#`d`k4ze<Y+0;5E{ri7?2{3+;CJA
z+&PRlt#+f)|G&p7_&*rlje1p3%*mDl5@q}Ecjf*KI!NZUx4+YCz-iI)INy@BJnNCQ
z{IN)ujs6EpLS-iH_pfFkscNqTaD}Ibg!~~6A1(2fby%}qDi`@Q%_%1@+PzH}cJajA
zxtRtVq!k(-|CPNB4K3Sa5>MattCK}2N{wv0KlZqoYuzuJ&`>FN0xgQye`7C_2IOp>
zpSwGY9_*zdICh5tnp5tG&f@w!d%RH^|Iz2l%hBibXuiIEO9aln?n=k;k$O<=3nA!#
z9|g+OYQ0-@-?Mig)c6kUF|`#SIW1ib@!_w7t<uD<DFCkzXYwP)_GxT9c6ixj9<DCW
zhkTE<$c9bQ)BQtlp&%hzOU7qJMwseyhHjRwg{RgVwK8BNMRFWW5&UJfi97oVLv!_7
zo;~QbZuRYB+>gbWMKB37Oe3REg)XbIW}i8~(^ai3zKnz>a^WD7?4px(HXtI@d`|g(
zKQ3_6DHm~}I`S$jh3bG-C9n{0A)*>qxnzapvn~oa{nQGFqlR)wx}rKKguPEI*-S@_
zGMB!XhCIU3K?*gX&zO}^cP3ueL7>?XC(vG3j$b;3B1(Uzg~5`#Z73Xjs+Rp4KEShx
z9qp7zJvXZSR}c$s{Y}gb<Pfv2f-ST#vdjS4;M{QOPDiUwcY2<GO0NP<c`sNbv9O!z
zdLl6vcbc#W^YBo1`neV4{`uJ^_#w}uLA5YUbx69Qrc^Ok?WbnuF5jNK{qjdImQx%6
zcUAC1>$12}XSw<+Ddnh&ejvM^bZVf*FW^0ZW?Gu>Rb^a^96DmtCV!$3J2#XaY-`Qc
z_g(0bOO*uGq8t7NO(a?0F)dkk9L;JpPc%?obl{|aXFwu+gb&SOh=czdonU4NZ2s_N
z=xrdSz#n!kt?+<8+S&l4Ft!e)qXn)*=#-`w-*mdi-uJpBHe#1p!md%&3B$b~5B6o$
zbX%f==9GB(!Y-U)f@FVZ|LH8wN^J6er?ObRtiP%<a%_|7<7CEt04TdtL6vZTsVyx3
zhH7cbXoPb9Eqd@J6ZqglNhdkWjFcK>L2FrJym=ePX<mnU#0iojKRxF3PsgG33tEf7
zr<`>Y3ptIxX{NwWs$WKg5K-1mDww~2b)W=)TN3?yZdskAoU^z?(@XgD8MT50@CBIP
zWZHZ!1`lCVY~jwNk|`{E$|y3|mg1gsjx{ekHlU9ccl2pm{Vf*ay4s|-Bvs^>03(*}
z&HMEb^%RH0$ddl_8{(-EISK!$F?Aktay}$qeK&g*TYLsVfT}+JR_J!NGDyQK%U$)G
zKkLNme3+v5k>Y$)4ocCF8-7KhI%F5m6Mh}L6E*&`s5~gVgnZC(*CTxU&jWr1<j+E^
z<l57Pvg>AqbrSaCZ!@X@MTLxjit+L;zICiU;<FD|lh{*E1?2VdOEfU~5IutL@M40g
zk1ZOf;zn1Bc8Nk^%}<9DL~gi%GYwynd<CZ%Mkp0(M6OUO35&nwFg9rq#L}K_-^qU3
zHSknYmH)V_8Jp|0QW9!ZK`Z)!9a+5^&7_G00I=!j4oB1T1@pcBnU)m_t(U_@P&Jff
zv>!7co@mbr3|P{QFO=X<hM7PXuR<%%d9U&|KWHzvQJkV}zfc(8Xf-2~re5=E8y3`k
zsA~%Y7^6$}7&v^x$UradUlXeY{m@x@kEeFCeSAP?@PU`<jKFQ5yJkXwg92gLizfEu
z$m2Tdtk{s*pK{>hd-f_h=k62k0e5<o_K5cROSABD62VKsuI*oFnfvd1A8+8jE_X&X
zn;mJjw6rD`7DB`*{(wLfadB}!y8My2@3&&tuib+xq~5qdA7a?utMU&Eq*8krCh-Vh
z+Yi^S(+~@c_|<xYmQY%tb4c`>Q+22A1@i01EDSi)zBqu=?tvdL<;nbL)5CNu_py0)
zJWe_fy&WI_oERJ~e)GJWHr?FRZwH{IYS|z12nlBK79WOHtyL3o+piF+&EQf16%7va
zIr;Ar!IeKnhtKei;OOXm8&BI)*BlS-MrM6F6Rv~u^+GmL{@b|0J*BJ}{qyTpz-IT>
zCw~g09#wO>k`h9}OX07o{1dnYY3=}+ah~^$yE&8(N5Zp3oiOs(qUy_MyagbtSEJxO
zZA^JC7&}yLZ<Z|&CjW6B91`taIPT4?#RifZlTqJp`ya<V*k>6w6NyZ^p&lnqh|H~L
zU6o_Xj=KFJ)EU8Vn>8A57A<2kp=#+<KZRq^pV6g#1GE`TJdPPg6+JlkaEehvQpQx7
z0M9WQP|<~wMcNcPfXu-CQe9IdH95n3^3J|Fq<R*Lt&TGfHAYn!++FXSA_DEkA&M0<
zVyrvgya!PQO;L!u$_DRk^X1?&l?+g;{K{dNSz3}8+uUcyDbmqy3GPZC7a55_azwtL
zVt5xY$m{h>m_D72vb}6+r0`4uUy|x)j$1>2F#Zfqj^OK2<F^3M5=uw12x)iiL-pQ<
z3L})l<FrU0=RpZ5jre2Rq@=;53d5LG(KkmOc0OBergRenCJo8nXyURe077?fK#6}x
z=3(BMIU_P;{7VB3n8t46xy)tydX~GVDvdBp*lh;4iwMrgVrZ&fP%SQR;E^mx8TScB
zYjb#V>XJEkl&08|dcAm&goRBrP#%(-vlx%P8oYZ5V$bGV2&1zllB@W$U$@<8bAU9D
zeb5(q0}QXA6<^HxI9dovh_LB3_a8DmAaF{NI^`PjrC}QER?ie9IoHHiQrEl}q%kM)
zs!e*(+3bTIZdgm<;XVcJYd$SX@Zb0FowblPo>eE`U1!>Mrt9C4XtcLcrYaK@IToql
z=LZDzO>R&`sLC3j?Q4(u$FRasN7G$Ud_M`Qkv-y5u-uIs5i4rUa;ID{lDtf{3-N-U
z;WrpWnK%>QHT%8Yfll~ztmZi^^x+i8dj+0>5j&&i$NXxk`<0X7M8~PBQ^!{(3XB@i
zycdWpZ$^*7+_!_w_Zfnf?_e)e3xyXzk07VB2L_UYxFESr1B%<m8}hFD1<}9u&9%1l
z%D<*Rvp3{l_S`GVD|_)Xr2Is2=<g0Zw{v|;17zhFwYwsbaIu~X(uVumRvm8t1ax-9
z&TWgal5LU?GH4fa0T<c2bFptGe#Y=>QC`$Xw<R&)9IN;RlsW`{m*OUIN?+}kTWPmm
z=05i3Dof8)1*_}W@5|NJ22`4>(&JA1W*8fFa%$Xh+wSf4&JSUKg^9cSsy)5n&WGb&
zi{Y=VJ8HH^nYKaTY2#-v^Kdd@x*2*RroIwX12!bu3lj?Zx<!(7JaiKvO8&h}7nF>@
zm7wO*;w->a+RS$AVrxjI;p~lqkDAL^4esX?qjs?-GRds0=Om8jroWT7I({Un|FoI3
zJ-qmFdO2b~nu^cFOJ!!~veKHI>N4%vM(mTd;i7HESE^VZ3$FdsL4@b^pbvczm(>U;
z>mCVR<;hzpG&EF6Q}caPzh6cM@apO+tE2>F-;sDYfw3Ek*AA%gzAkBeI4C(Ewe`l~
z;NbA!iG4GIzL1+ct`GKEV#yps8P#>K_9KkXyb`<m;rZ>W6ba^wvS|L$*B*DCD-|*X
z_*7v}pU?kfDaJ<YDd>aV2aZG6|L46Hn<;=uvSJ;Gfbu8H_6}BbZ8mXk{okXWBt?d9
z)~qoCGk+7d&pp_>@g{%T+|T=W5|76xlM!Huk6<<KhqjX$zhX-+D*2Rm1=G+ez>pmL
z|Go4U&w5kGM7*q7ZC+1|SZ*f69&H$wW`aXFekN(E2IiTOwRgf~6}`eZie*a1PzGn+
zQUHjvxc@v`7XQ|rRKL3&<6E10Dm<5$j3~fw=B=$rUuU6mg;Nvn-<i-yZ&l{R-S#2O
zb5f0#`V_f{_CP+H#jMka$!0p%(=YU5-}-pcLPJB-NiBGe#D6s*I^XKX2347>jQY__
zHLGC52$=gGt`8^Y<^q*y{J-hB!9$z21Un<iewqw{9;a;tn|%@8;Px91|L*m5#W$Zv
z6^2wQxq(AFiTorO0PyZ_@2Aq8YJ-I;-=UMSlZi5|ro7d()0XxJPa${R%=+AW&Gl9m
z!`5Ril*<JDEhWyN`f}G`l}7}5Rr|x;@!ri>ca*Zxwr+xX$)|&F9U@c?XXHAcBKiO8
zR&SW~%qEU>AsJFyc+Lq715-cgUr8{YOOpcs)Z}HppOf5~OYKE@tbyVeCx|@Y!
zl>7QEz3&glBsQY2`rP`yqV^fVx(du%u@PlwF5XR0|1VG7!11NOGJDsBrPM3&{SjL6
zhNSvJ`r8txUuu$*+`0M_<NR!gNN)dp;TyLTwC(=E6C6#aqI9fAv5j%VnWotzoHTBt
zAI(?6VF+AddS9llu0b`8K=5HNSNnN{=)w#o_Fxju2?Z#&h)(&dnr`lgUYsLKY!aUY
z#oSf|e&|w?Oim1#f<0Y(NfhNnT}qLr+EwbE!^6)OF}<1+3Xq+JY2iNh+fU<@KzuS8
zwVl{+yWdj!wx*mHN4Hemr{@W&WE?FMrEE#nh1vH!xdiUs&L}5wfu>sh0>MRm{LACL
z+(A=0+F3{{s3Mu~K}^OGDJQ6f;{a!Rr`%Bi${35EEc{^0Cp^$!w5ylS`JMV*FLQeg
z`{bhnEmg%9LeFJ8kT_LVU$d4f@rL!_F~K-l$wczk8FM#Ke)%e0ZJx!fJ-!O7Yjv5;
zt0*k|;2fyjkk-#17bp+13`9M*{53M5=g~K{rZLSeAS8R}BOn)+rB5KRy;FpwM!R5|
zMIAdZ%d^PgNIFIP$K(@RS!HRe{Z6p^a)X!o$-Iq8(mL#vcZ!KFXH>IRTwkh+vH~In
zyPmrGzXBmI{0yHn4tBw3{8Hw03|ZA5@Ay4jgVl3NUoe$n%Vda$^CO6hP?ZjlLoX&)
zNdkz6>uJA#mcb<zD3uQf4lkW$M~wsut^I?0)eD?f7>g_utBN%1ff1l6hd=34VoGPq
zYx*i1>HsN%mZ+_6myrit>)4{u@nA$mj-OvS%%8W}&EmziD?L^<lGck^l0#E)_5FJ-
zg1wJVj4#8EFC*6m(>~7%v^KKU#Li~BOg{ZB#HSRr3*{|1c2GRN>2M=zNpu48%4R(*
z?cJrNq@zzHsU7PreXqj3OgM#dRK)_s*Meseiv%SU$6dv>I1|y$u!?P?%m~8g${mP=
zhrH!yB+K<oVjHcv;&fa39)_{-`z2q^n!l9`N?7jBCW9bYCAl1{3;idt^J;e_A%eE=
z2J*35AK>h6F3)AH*DRSo%23FqyEUKU>6g+Ip;Q6{Optd~=FP`5g^(KbJcxll-grRQ
zBY8qWs>2@*kXrel88#OBqDEX(L~u0{;IF#r*5fCFd(y7IE|jLr+kPZ<@mB=NFA_Ks
zZ#*2UR)gn>Jb-TELOmr#MDGh+kg@+IjI33QeXT_bTLxLzQ?_E_pa}UHj(?}=%=}K$
zvzr92T7r8F@8ZK8cFZPkMo3V>07%h(r}NOF4Jw|6zOvzd7=)|F@s}CJ-JXxscvd_v
z6$X;L-t`Ne^)h?g4_NX}*-Ld~F>6)=WD}Ws9mWNMWSN?_en%8NJh*#8!?I^AozEWH
zr^~KX>LZ3G=&q+(BK@^p!;^^?!Y+p0XYdF={)w^Ubou{SI7`OBB+wB+%;OMuJ$roh
z8XseIb7!QIE9$cx@9^k!!o_{C8@(>rXh$R<$LC|0gDp_)FKb}zWcEG}%XyG*?3wtV
zA7;{D)g-EqEK}<@IKleg`0LY@@a*j3bkyS1TDJMT;8*o(W?s^RKf_x`6An%fL4!@y
zt?oRqW5k}7FZMc|XSNpm;{X6oXh#5wB!Ang^{7K!R}NyO_p|%fHknq`^(i&_KEc&4
z)IX!7fmi_!gKl?uj-Gp4l4j7qznv)_Q-ZF@;f01DzK+6D+tXkuw<6c5PKI<jF;#i#
ztEcnW<ZwQqm?5Hn>mj;;hVOb_cj|>{&DeGaehx!#%t#gV!e4~$EEu^g!T7#Z-tLa>
zsN0L-b0@m&yks3zsux0u_`d^9i^bZIqy0HAtkV6N$@7+AeC@|7NyXxvZ`iJ!Sn_z#
zjhW*e?Bn|at>1C9LnF9*H0Qd3;mKcLKYr<0KSZVY8F+K&WxR$B_^S8|?uIMB?;&IL
zpNfqCYO#Piq3#*a(fen3#&fiRq!4l$j7ScFC?liYL)W$8!}9^kDAKwZ!IcJ<w;?oa
zNeTtJX3|(+g7wj{$4V&fJ>Zdt-sVU@u<FnE#!6?{7f9tzbp7$BzUFT`eNx4j{k4@T
z4ETnnKc_E87Ot&Kp3gY9lvqNQ%&VK!>g%PK`5Ter{Eia{!!~j8+ndGoie1b;H|(IG
z3A>p8s=ImpxcGN=V6f18l+LcaR8}9L^gH<=-?E7G`8hGYxet#J`QNZQH%-|btIQ0m
z{um?a{w?F*e>bG0vgTA{1MJj~N&VT7{HKusr&|}}boZPGumqdQ=>+5nM2l6+SAT84
ze)HOk?C@)x{9_pOp|@Rj%|5(us9gVJ_tnbh_F>liJ8I1(H)^PwMOHnQ(u%_J#SWg=
zkeM=J0bch!d*0)V4FBZ>sTUd9`F0`6$FDqfbUG}Ctj+<iVH~=zT*m2;5cS{`Lx22^
zzsKO0Ev?!fe3X8LiluNRLm~|*jvMOX9%Kxb<Xj7(#wVL?w?w~3c%G7F?v>|)_@gj2
z0*c+Gh_3qiOOqmV!}h%D>aK3+W3bJA0=%ba8(d;+dXkyj%{SINQ#^c|9An8>QonNS
zt9L6;-5zjS-(R^STTT#XUpilh;KmsWnOAH|TeS3xZ=^MQo*(PEq^<m##h<7$)4E!D
zQjm3G(v49(&frt=q$HI2I~D>~*2ToWz-umK)&_}M+L@@uj<wJWgG*}8%yE##Bjk)e
zCCNH4w(0u4XpsbP^VOt@jM%610Dg~h@LnocGSapGNmH+MsFdwQIX1j254q2+(j%Z0
zz`&s0RqA2wyk2@DWQGH@5jAHzos^SbrekJ#9}iCms9M`daDAe4*jGV>+;Xr^8acS|
zdf09R;t<Ql9e!U$NX5ITQ92%YAR|n6A>WDDi>hl=G<3V|28gArnM&kJp0l`Yms_=w
zJP>Rc9!_&tI5T9JeMbV!d+ir}j7FWheyE@4OyNHwRxF{Tlf+$bEm7za5b`7zj~%p6
zSN)a^y?fymOibkexbIDaM9f@tewAjX`~az<dQ96xM_avrG-dfEM|5&Glruj!hvK(C
zCa^Tf1qaZy;Y75LFz1g@Tz02g@iL|6b#}}y<u74G*)rwJp4k=8T#fRsXuMb4g{~fR
zL8*dMfg=wp?>JF&bPA{{%_gFh2>)$}qD*an1T_mGqIZ{wP7cPgB}F0C#Ldxid>-4}
z2cU$+Z)h1$GHel>vGyc$M>$wmudlo7ux1*vv~lnyj@4f35TFM)I{-H(RiL6%vR+cU
zX_S(YT*1g;O_(4@zLAR<jWq^IUw6?l2da)xCftJOP_aWm4@c%B>iYG9mlKUh5}yUe
zDc{#46eyW>!jMxRMlN>j8BeUZcT~-e>>hn+t4Wh+C>A;NhW-{Qdd%o>(>dmI!r*SR
z1E-*smJ^E*O_3)t*g2D#UoK@L@VC4M8%sGu5QRTcDNr|nUw=;UWr}({knHx=8YyM2
zUX+Be16TkzTGnQFJuxr6TQ%|19A#L8tCO8EjTeMo5Lq}(*5Yi;2|HA7_I`Ec%$6?a
zA(|B@n8-etkqpiJ?}fj7b*4_tu5#+F@C>}*yMhFa?r@4Utsq7Lq3+0m)OoUJMn(C5
z1wS7b%#TH~C2m+S!sg<bM7~tR0Zl23y$Cw<@c#M!k!ps~_V5ngc?nV~CmA4le}72)
z{@IN9nCF?V!o!7I2T(XADk4NxItcjviS#|mG8JhsS0;KkV=VKLt*h7W9Vdn1BI4j=
zkZ8NG&&441`HZS!c4;Z<2k4P$|9lNLf~Kt91aFH>T|X!v^WixRw+HqOh_ueVl)#l!
z8~t4UrN~rBDtPIgRmdQ8i1$qLp|foDt`pe*!Se>?Zd@o~J*vagzT;2>7heCR8!gFu
z(be;o@3l8&HUe>WZYtC>P91;kkLj)Bz(s6@C+4~tY@*J?@N-EG`|pDT5&oCmC4iLs
zW7Yrmcalmgsl(s90nO|`5)ay3eJiu>BHCR=14unuv(DvgphQA3;qMXJ?k2}GiEeZR
zo|U<Ecz2esgO+Xk)E)+$w8*v@?G^iX+WVt9Dd$PFK;t=|A3RTNU)EtbDVo7f*oK4Z
zdy1{?U|v4#)N`HTTb8K>@+Y9uZElu_uEUQc<)eewL%l;%R7l9StKs9-pAIRo-Ubg$
z!cRld)8|Ls-N|6+xA=j>0=M3JDX_kt^R0#72rZ>pZCCi09jE2*CV~VVXDndeoUvqa
z%>|n?7pK{j?Z{zE9q{XxeK0>%^$|^Q!6E@`6SrBF4zeWek41<zK9$UbA0DUN&hB*X
zx*_A)c{M)4Qy%>V-kuy|jaHoA*8zxCuG{77D5!q=UZ>KH2<?>x$Tj+e3TeEsiTYpQ
zI=o%Uo$IfT%I>lnPhY?>nWw^2KYv^<MUl>GeF<rU=BjU}BKD9Btn0!0Ql*gxqTv0c
z$4$%A)jnmV4TP!ne(uKLvV3(RQnet`UmF}VkMg-?N*77j$w2hf?-7#G_U|+$EdOL2
zIK}H#?q+u4^WMD1<8I_JSY=#}T|!Sx-(rcp<Wefounn=?Uf<{0Y1w7f>+ZJWHGLYL
zE)*78BbAglBXcd=!9hz%heAb<nYUfMZ)DBu3Gk0E%)#hfIcf`CYIX;16biNJp&Nqa
z`r2FpK>CpaE*rrDDUZbk3G$vNH-<EIDfaNR@cfj}>HPdkDbG|eSaDk|qMkt<26X36
zYDnU`*Pt1Apg^*bI`jp<+3K5rIdd9j(Kn{_$xuz#>Xffi1K{DpvzSk_$~y%68fXx)
z&lgQa$2q?2Fm-*<ipUFSEq6gWQ^7}J*eXSxGk9rdrJ$Zx$|EoM*TC8-jHJ#k#TdB`
zXwf}aNJvrEC#&Mi1_vG3&ci}>Am9=Y5snBePgGq_jfEF!-xmZeFo$6VtX57wQoGU0
z4WQ`8I_y_@D>JPbdi^uMm{qX91hZjM9Cr;dXN_^eW7xDH05C}=c;HF%8ojq{vuV*=
zXYcu-I@<#wN9pG||48HRuSC=*gs&ce&L}Q#<Xr?QqZf;$E!e!s)br%?-SuQ$`bomW
zu6N@!Y07Nax20|*bA6vECO-i^?C~yEN9(U;S35{|b$(F@I{#yySRsZ5Xogc2)rDL{
zIWh)FKi-d*OMKkxW=wo0mib0=`zYD&2qXBgjbi^8<P%gkTn_^zhLiX`m6*vz#O3q&
zrBuHiPEn|l@NBw{1c;cxu;?#FfyS89HACcdHz)w!%ob`34SE%^1v5%;DXIk<;F7_S
z+u}1M`7U+1W7*s-cF#Aqk!6e>v8ie#L`lB9(DJuIC6C)(s6SkvO+e9IF4wislPaP0
z$@=R0njDi*%a_955&Bbp41zd!(_VI<=|VjjsxEATRO+GgbJ+Ny!-nh@P(F$3Lb}(L
z)dh?CZz<s&r$+bKde88DvVsS0NJ;}5X3^l7H=R+GVEkAPud5~xkOCX<H~isr&-A#a
zO?P|dM2t3PF<-pKjb?}wV;2G7o}|l+64pn1J1An`cFl>y=z2Rm{;%^i)-Ql;Q_Tk;
zwabSvYU%>)x`g_UMK+#CSY&u?;h2pu989aKx<_GJaQ_TbadRv)vHsX0BUR>w0#3o$
zf{}N3b;Ixy2?SY%G?rmO>Ntm-rgbZxt^3j*g#rpSrsHx0JB|smA9WV4dQIj3eY4g5
zZOebgpP`o!K{3r2FeINWSFaY&^-1maUl(4JV}tO`E=|x~{1VX6h0Aq7tEIG3iqa!}
zN#|yw|MSsdYwQBTYuGH(eJjI<SI}uC&kiGa@J27Q^hZb7V`_FetpN`v3d!9>ZG>bU
z<Sc_bgzva^+HTRjV7;N^nGxu9rTlbV;nPcE+xo|jJN!-jc{A(xMSX~Z-okpbE6T{o
z1Xid)TMZkSA6JzT5)*U>cH+Ivqc$s?p2*0^(3(2Picuhg*_+vLoztVIYxVXhb_R8X
z4KJ~(rZB31=Eem1Z#IgTPi>-bLR^t!&R*Q8Atd~Q1ai}2w!15BZBc1)*BmVNCIVDr
zrK_8FlI2f~*wzaH6Pu&N>;k$T1=Gjh_yoRpSMYrz>yXC$&-h{g>4&Kimouk{kXY`;
zO04zY--(G<U1SYuVQd9aW7g2A)|Kg)-P=d|X?d>o{8XE+ozYbL)3)0UsO%_VX-Us%
zHUGQ9bDREd5!@aa#@tQ_*7p%$YFvZee-G`cY(xwHfo;J5ZB7)7=Ks|)w5-=FRS{~C
zVKb#MkInB@`Nr|&F8DHg)zX$xK#eEdC6z;s_b;#F8JBFdhpN!iO|jrxtm(}9zGNaf
z@xm+G!!g$~-`;8LZg}6{UGNX^O(b-iK;L-B-FxqsUddlR+TuMTgYU%fhqiDevTDjO
zUOg<fy&EnA2<A3A=(A7_f{g8NlnuL4{UXg}Mx{_lm~k7F2uOL2}%6+t7kEFZ(|
zd)6NCorKSs;jQ(*S>AHe^;R3d{XfU~FHxuV*?~S!_WUn*n}vmiolaogpu>s|V2(tD
zdq;|M&&M@sP(ys-xCzmu%@l;9j`o=PAaYoCKO<O5nrmaE#qu{NGMaX8$XDhcwKtrg
zg>G6EA75`!=;tI!=az53f*kC~MuP#$E+pN;>+}8}l~cYs#~>c4RNP%hW)A-=T;B|Z
zu7f7(lhm3P0}iFbgQ%$Dvjs0)Y^p+iyw{d;%m_Ml;T)X>_a9YSkwjXG5lL;ILM
z=Q)~-<#tLDHTM>RTmOHYQ8otzEd|%S%(|NwD~rOzfUl;1Pp)0K^wVS&87&6$T2w(n
zFV<Kf?Qb3;P3*TO7yvJXSRR&>A3d1;zZ3%(m9{`Pqh}#{_Yk^k@kNmLp2;>$7G*rd
zidv5Pg7jyj`H0VC=3=NvgBM+5e|GSuLw?X$9h*G(+g`eF;2u@!p+4HzZoc#8<tilL
z0cBaAm~Ar>UIwp@W(~T}aat<hoW88JlZ0<!38U}yW~U!>8NS)EMO>d+vBDGYo^h&8
z4Z9TLQ1xX1cvs{(*Wzg{ikX~~{L!jKdx5~B{m*%rgIM$L!ql-*NBM#A?kk+bvs<B7
z*c>649RCNN;{wZSj~Vr3#2rYj^KX7K#Z*?<S8qf3hozh*_~2;~Mu>twf8~TNwxm!l
zgoU4U9oI44ZCSzIovqET#sk;o7ZkqZ*BlX9%BHxJwn6VI)DXY<hnHb#7)QZKLv{J^
zVZuT-U3G;Bk8cytD~Q{}ynNtpKWQI-Ddl|1t?nJioMZ4W-W82gs%qvhKkr4_jj^uT
z^bvUS$N(w~A8u2CW%(R29#06rH95*UXoc$ftqT;`Xs8l-=1*`gZ!!!n8)@};b=nvx
zg4Y6cJwr;W?Bi&ET)8m?*)2Xm$N4$x^=OdnS=XzPIK=x=qeg|b|3)EEft7mBv#TDQ
zI9F7JQyaXf5ZAqmKF<?2l&PZMq@CF((cm1DWeZZp&(AFe6kX#rnT{-og69)KygRs|
z7hE=vvwOz3bwnG4*L24EP%3Ug#N{f?59_~2XCl^S_>d*@#fG%)yu=F*^vO9UgSdNf
z*1yVQc3ki8yW})@`lLCX8pszxr0IcDMo~nfLLVeiR&HIXii<b8P?&psUM@edb8&5&
z3Oy3NiT}gZ6H`;ZEho(=Q0?5KBlR=1eH^|Xe?xsPaX9Llb8S+3@H7T9doFPsc6U5y
zd!o8>9HXv;hZdi~>M;tQn2$gyf8cm{*z_1}5DFHLz3V(WH8h=m;WJty5p<b7Jzwrv
z5zKY+ehgCFfKHS1<~qrcF8xn^stV`gJn}CtP7<hhfAh4$qg!@PZfqEOuA}I87OR(>
zmDzfs6c=|@GqfUlAHJooY_-&>lSKM~V|QP!sKDs@YagqcZ}9+~S8GqVPdZQ=4E_IJ
zvZd=q4V+LeKpL0P)0>GM%l9^7Ly)lE1`-NQiZL(*?><7U><%3*5K)g}{)F`zHoI@E
zi(f8hZ195}Q$%*qAU|4bPBdb6vbjrzqwa^rn~`saG}-CmWE~Xue(wz~Z>Txw=Ei;k
zi7E4VboJ@DYYQnGG(U<r5AkWpGg-4#Tx&N&&9KR+Ih#cz9>ozk@rL&oa9c<mf9u_(
zf39qC#M3BUd&gv`?tyr}9O<OVbTldEQbn1@-O@4VVE+_LfhJQD2C7UDTmpd{#3X9h
zShq@@Ic4fC`pcM{$`itChbGCZ8$tSsXxT&-ceg(Zn<ZSIRY3h)SdhgMmDOa<sFdOE
znfwJeF>*ysisRDpkD=G^K8(UCUds_&c-1`x=sbj+)#^0UGpa1_-qF63)J`$ei-pWo
z3~z!QYMJtdZRM4dS#2hHbS$A*y$ab_V{*gBiPRI}KDnGeKD_$?Tj*#PQJH-Mcn&fl
zP|8e*H-lAeKJ7K)XZImObeh>+>6U%k>s!|mikGjrI1Lt*a5J@@_kSc^Wl&q)77b9K
zMT<KWcXu!D?(XjH&_Z!5?(W6i-Ad7*#UT`Tmmn{E@6PZiGdK5!nRCwGYcF{^nOB!0
zh$UJdra2>ZVPd7TiBrZ+0XAFb{8Y-CL_#}*YW?ajloGM#{oi3Z;BL#}p&K6q5ERbN
zovIiD{Jdn1-=A1*HYo~m^KIC+#5_hxfEpS<oJis-%Y-32<u{z_nr<A`kB_|jkXO_O
z@6_2fVy+%AH+*nyQ!iu{0c>6NC->%r-#RL8=h9JXiC&)*EHko;iOXYXkw`rx%VfO=
zo!RWaFb8tarE~kHeQm|A9W$PqXd89YYMngh>pZ7R68qadIx1Ij>Ki;aK74mszhhU*
zidJdd^deMm<P!i5yGi91kv7ZfM357H|LKb?TGRZ@ap<A3S$M5NcOfR}SoxEG)yHJ;
z4{u^7(y?R~rPr2+1AzwUvd-4K8}bxZ=YjGngKgs;Lw>N1dl^D~&oG)PN~~v6_o1dZ
zByNF>-;v?^g4h(z{zP?*{u$GR+R{QB?{a07ufz4wpGyFrtx#dg=G2ESHYJdt+0YF2
zPCCcFz`+KHopV(DC~Q7kugVxx9(bd+wt0{2%YZ#7{CbJ{-V;G+F5G}G_j`U%H-~MP
zBLtTT5c0u`W9kq%f}hGCcVA-y8eo5R+$Zq{o-=Vw81f6Xd1QA!KA7Hr4K&@4wN^wT
z!MU-P@cM-@T+;v%Pk)LuLzs2s>2U#{;+XdPs6hevTfDX~mR=rNTBSkV1GH{ZJMf!r
z4EOh=y)WGM*4CSHk!J7;2Bh<;A5gv6DdIkNIT73pN8{}DfX@aY!p<;jj!ZrMkp3?<
z?R)rZkk{qe{(%uzApz1Bp~33E*XsW9%F#{aR)M0g&IwbNqBukogeTB}*lD`%?GEOD
z&>BQY=c!}1A@?7CFrJi2C#>p!_zJ6^2}9y{-D#~v+-BIiqV}EMj%i5x?c)a`D2hqU
zOj8H%wrvlFQ{AAi9@u<{EWQ8Cv(-7EhNlo9iL>mBQEyzrAs#Q`R5xK#*IQC*fj_>H
zf7^6;Au{G5bkCvVSQB{CqH$RQ4KIQrduNc_sOLz_P7hH~Ustef4632)%s$_2J!b<H
zHBMeAofA~18Dyvk0XuNfA)xi&SY?_p;pbOM@u!3FtnreaXSXurjV@MP9WChi(eHbE
zh62|&bOQAk2I+g>mys4YL)#ue7%VRKu#)k$-{wkoj^baTPEP{{afqRJq|$Z<;$ugf
zFpiZq6XIW;2?@BGwtB!uqcx>4di2?fM0wq(gz~sXk%_Yabqx_YzmL<ePK?Aso>)kF
zNH;LwH;)I3f_jKyMM!#lmN2v*_V%_Bkzo|nF875uBhWmCA6^0wFXKnYrpHPr9Ufkl
za!2N679RRw=TM*Yr7$$@ZAK2FOy^UujOEl<P)GSU=8%0Mh3xCoQZJ}B=!G7#DI<IV
zFY2jaPUH!bKs15mOuf&pZTdAPwuwB8KUq}08&u|DwR{jSOFrS4`P_3oSDSn)%%IrA
zj_+?RHTq!_y3lr=^F}<=Ui!iAa=WAbFY#etoHX^wz80}NSWZ9m!rGDH#2aJ1La0rh
zdJi+_TW9I|w>-xOoLonpmQ9Z-hV-~-`su;2R|{<*7@wm&olpSLOYwp1wdpjlYvXoA
zq!k>ZLGnY*10~Nzn5FZ8>>oc|ybPi2J*YaDn`MQac*o_$X(sKSVPI_7YJ2tw<Dzr2
zmhe4dme2!o&<z<&Q>c0$mUt+$H62!!e+04T3Bmuz!+hCy7#jREk<E*q_cq{zE8L9l
z^>Wn?!?#o%sqwI7!47OI!iYuAfh4Gc@>hc<cN<wP^eGL4JYYQSPrud)e3N75MGJZw
zynVQFKrJjNuzQfTcW!r|U%)b3)?1xf!}$&oe6#hSx2}6rQN>jE-3Q)HKz>VU<zD};
zD-z_lT=b((eYMdso-xZ=M|(bBxSip+ZClM31~0<td#rHibJ#%#)?aL$3Pu(Yg!_l&
zDwh2xwSEPkk3u?+k8>PuPTiH2m2TV0N5{wE6^9RE<5Q+Ifoy!3@QmUT!zQFoR@8^)
zIYP6UJXhlDpOzxC=px0~!pg~IsjX=!=H%r{mj}GCfLi;Ej3w>vJzDccu_O}sX~VJP
zZZ@_2p~(gPO_<4W!*;fD2W_C{O%uIhn9>Y~&CS-@A#N)DIQmifQRY<U!71mDB^Ec>
z{E7LKrK{M9RWmsY@eVOPvFva6Os0|uB-O&OJJ<9HEbc?>%M#R?g?!LVPlcO=hzPeX
zr@pzbT!Foe;KkONj0HQV*k{B%{1*)WrZaQ<I3Z+!_PPS!u4^gcer6EhBjvjGJTQVf
zs~5gZa$DcF!?0g#<ONr2(H}rC$ed4}k;b2DO1flwB`O-AkJGCcZ+KkY_ni3X-Ek|U
zuj_%QK8()uX;<-=8DvOy5qleb!xr+G%8|mBt@~usHG4@hRoR9RfQPD!E&}+P+1y`g
z>EZ073tj6Ot*CsJ!{JG%@9rd+=`9>I-|{65g|9ru@_1a~6I&^Q$E*}HlG5*zmyYsF
zN5zE2yzn1$_GF_i6nI!ERn?v6R$8u{^5cE97DX4vW{W&AZjU(%OVtgZIaiq2W_~E!
z0%D-A$n%E}@U-wVL;YpZ48nJ<o)j(T`S2ygW@s!d*32VlX)l-eN1v!v!E1s(qCH4+
zG*8?>e-n9ZF=HDv&!7zAnNE7Tf6-AuQ;Ikd>CWxG0&{s9`>8+PHaVc_!okwe1v3s-
z<PvuHp$jX0yBs=PK7Y(5EPn8ik3f#n>9zY$A>G)<8TFLHJfz_!06o9aRm+{Hr1PA@
zeW8h!ry@HMLaw(9vSWN+JR-LIuyEitg0AQ7mn7yEjq{?%Ji8eMsk;@N-fm<>W-u1p
zsfoVJq<##sR>J8%6l0eym}R<o?C`l?EcOMQz<qgI<7f`IXX<5zUi)%x@cj6y1j<C6
z?l%zjMh6(%6gqNGa*W4CkUnpil|pbZ;;}{UnKWkTh#=lLR6{O|pr-}7gOG9&t#oz?
z5jBUoAb#Ju@=E#<`01RmaAN)7V<#SD-Pyl`!e0x2*lT)G=Zxc(`txNShrmL{ne}QH
z_d#8e1U3A~sc^VcC(lkSy-=NlCGEb*-h6B`i4&;bC*i-1Z7f_y^m55GZ#8~920|1x
zJ}+yvB6MGObmbyjL{>)KFBnd;CIyy@2&Y>urRb67hGcf6z6K<49RRs>-!_>lG5#2+
zbO@y7f(ltG9Ks%uY$jHs*@VBYs+y1P+Y}P@riXsf&--$IH75W`W00VGw6&H?Dit(|
zBneTxgOHC2*b9S73Ra#x6aAG#k%9YDme}ZC$ss3uqMWgHffpwUgRu~-xwfhb5(c<P
z)5w5`5)MQ1&<F1fDIrWDBot+PxL-ep9DmHR{+O*73=Ar8VXq-%$11vxu45-$Irk;c
zz%>oy@*fHL0gEA6K|KG6G7+(cH}3c&T1O3;KIHa=p0)RetZhETE%;_kCC$v@fXF_Q
zP(Z?go2k4FE+-PZ3q$wEHC+v#`7QC}fzo~c6t%|zIyx8uA~q-d_ypcLAfeFTE#&6f
z35HcuQ8S83H2^bPAci**JcvE6d%tv8nnw*G%U#zPa&Wj8wzODBsKSTcwVaHb^=^jt
zg#2_0dSc%<z64EbcedEPW61<U9@v?gz8ABQT)07xGNK0Gcr5oHWVkwpJP_8D88KvQ
z+*r@K^%ryjiN9AS@03jyeSHCWT8N*m3TUk7(}@CcM;kC4L2=<zZRtR@4=XDRV$yY)
zsn7K5-0FSUH)8Qw=`R*kF8Nf0W5aW-Lbb%3`d-vg2H|@?Rd+EX6Tx$roz<H^Vw}aT
zqZ|hQJtv{fbRSHgJPyb}u&sC90tzJpVgr|0(82G#AVdUzcnCZ-<AL?vA61_Tek888
z?>+9<!GV;6o1`u7v1xA9Y!;GX_jV~<)CHQENgq+D8sgno8s6`@sB6Lt>stwfgxL>h
ze-Kc-8C8Q6B|Mfczqt>%*WEE3yDlZO-DhROJC4kVrv`XtX+cNUF(Be2oIynAjhF<J
zdHhMqPML=3`V(?-GK#?19KqZH<7x-;C}*2oT+xb>c&ejM8koVhZhjRI#b}Q<SU}wG
z==7E}WfqdvO(vrvR&JL)klZa~0CXO2I<$`UB0tg#Wi`YIWx~$wm-9F|L8E0ii?RW(
zuIEkwJPb7^2m{*x60DPx05Cg;?VOINqm;b2y0{mEK3JvYpa57HF_>GcNAH(<f}N=d
z*lHpcPA!v97aR&v0@cw%-Lrm56_C#^YRi9`8i~qnMH}M*qEklQE?Z=|9<qfWbnQ(B
z7GiW_66N9gd@?-qhC;yqS!;Eu>f;Md8?w?wr#n6+XZ9;t1=5<Uod5l9*Nb=jgk8Yh
z4)+*$@<OtE_?0gmxw4gA!U%RivPIr$Bs>X0ocYXdaK6?i8u)1c+|-CjE5D?t(ji2A
zG-){6B7T_vcw(_4-?8C}BZGG0aB-}DhADg-M2$GNh!cb$dx5F1>;p|~r~AQ;Bli0%
zF>6!)NUm4P+=<@s=OEd!E%&;crUX+VN%mb1K`Afy8391Pg!X|Di65226*jRa<D0<~
zT?!o*?b#XAQIR~U!MWp;b&aoNy#_jiL&W|<;<+GL0(2qzK1Q9R4AZ%80zO%L{~lt`
zZrP7N{mDj*{WK=&vA6xl`!_AICc@{6VLrqVi<PNkn|y_$!&2ryW3HL>`Z=KShjq93
zlFDEP8my*AH6Z3eM-)9%R%Ghp=f#%WK8CA^0tzS!x!<{<m*K-}z)zGm*X<oPAHLbk
z6GT^HCS-_Tei{@@rf2Sh==y@#OWKqdD4U(Cu$bc;m_!>%Zaj7TF9lo=Hr1%<J;T_5
zS8m{}wm+C2Xa9AhtsP7Fb=XasU!$Ch-Ds>1JYFmzFqA!4v9qU?10g-OLwABylG_@M
z+>z6$W)`3lg7Z+2m}-A}H{9)2du7LKrP>d5C{)uB%;eL<<(D=(%!1tWZvKANC9<Y2
zt6BBBe^yFm&Y|8=Qgqo@4*+NWo**gKCdzKfYgnjmth1v#HuDpL@01LzB?8)KggQC)
zw^PRr`ZQ8+0lBrTj#1dNs3;m3bG_uJO4cRZoeE2>jrcJ;dNue2L)6wfT@TY~g_Iod
z8t(UfS|KK6nLMuq+B|x#5Wq(<+EcDw(({*6318dG2Y^WINeT-hj8<_pmrsRci>@10
zx||oijrbhgHx$B2o__>45Gwh;vKFli;Z9`|lW0yYp^=drs{HZqxnzN*C$`jk2B{gm
zA(>G20$K>Wr(ju`2b0<n*N0%%65-9}bsuWU&2U&^1`~O@SqOHM)E6{OlM$`!g!Ni?
z>la=+VD@nm7z%M>bc?12)t5?yzZ<Sf2|#ccm-358NSY*sINI|R^u}k*e0C0RTZwr2
zs5dpzNsxI7ina@9uEVL)UyWc6xK()waLo1|_!xt)gAfny`}Cw`#E#QZv%NjKAyDq=
zqVK$C9z&=S?6mgs4>H2j9vaxyGtt4`Q^L(y&6gw0Qx2adBX#k<sDDy();VQZ>)p}m
zT5z)-h#|6VqFAY`34%#=XB?j9euE>P3^khSy30S-$OlDb*5(fwL<&2C8J}hgV1AYT
z)`@|&*x%`$e3P7&M=>%c*#fS$b=;{6EL@R2&B04e@^hJxCC3>zy=@i2{$~+(LLl_q
zuhaI>W%DpD7F~C8dOC>1BTqwfu`RXPMF`YJ-+TsQz`u|caAOYg(|dt#hqErmH@hNA
zoE!#~f}F7s5d9&v&Vnii5-mdy^w;MLvLTGaZNw9pE@EmSpHrI$@Qzba5xs!__Z?ik
zIdLP3@1Igi-o<RCmp#KG@PI*<I*W1ao4Y%*oDFbD(2C7y-gSg}8crO-5l&k4Y<(cm
zkF=~U4SVLt5|CU~0`p8X5xiVq4PU8e!`?3#1Cdo7a!^7Pqe&X&E9JLinBCo+9)++A
zskeRSilR#sf`S?B_-|>J>N}|_`=H^LrHie&wEj)X=8*{1)x0midN#YyeRIrLzCV1^
zx>H332CSI<d%U`JF#Ex_LmxTYTNM9P660g#B-<55FDLY!{;23czQt6AK;<VdXOL#e
zf%|X?`ir$#8+2<-2e#RjCCKmiH7;$n6Uv<Wn2g)zC^cO2-|XB~Wa$S$XdHvY!JngJ
zU=oUn!zT8>LyMVY4s}Ysv?$Z6=t(iJU+~xrHxw0b^a3xq2qeFRh)^^JJ6<JdTr4V_
ze0)CxKC{x#n8-`;%!NS5J~apRfi0Cr;zbp1W&<pty8S;9xC?`kR2DD&&*$|!CL~VB
zmn3pX%Svh^KL>1>6HfT6J$ESo%jeQ~j|v+|J)ajSY!253dzOlK+nZHEsa;c>sT<-(
zA}yf(!9b=`r2p6CSvhk@NWJWjSK{&yX*q^ye~a{n0VjHvrAD7;&mM2UxB=p7DKYOU
z6_IOT6<#fHEt-uo`x28Dnapq0ID7?U<!1x}{kQ7FDdPgAJ5ApDY*yB?I*N==I=y)X
zv$B1=xm{SwdOIDiB|CoZ4XXd#6HttX|K?2uG~~nviOM<acJaWccR<T&{JcAy(Gfa}
z41@qL&etAgJ7d%v{hQ|o6oCN^J}-NvQiVUB`se6sC{urZ#fzXkJCf~N&&}~;7jntn
z-54cO;VPq+==|+oe&LhTc6?U3b>DvR$Se?}EGNts*kS0@`9QXAY&g{X;heeNQ4wr-
za|GuP>X>u>Q>Eg4<a0@1RnXWXS>Cfwyk6UR$l>l0UVpV-N{HOeBJAfB;zOLQ2?qpj
zq!Cbc5$U7!ch?xX4Kwh#V<8%?fBW?;z!Uo+ifEZvc+0bpZcEC`3s;k5*}3z)8hiXJ
zYMC2403aF!Wh#7qJ%H~UJ=k5bY6Bkg#~<%PASN1hk23qSED?amTyhC9m@hUx+OkP9
znB6NynaET|bYeEn{2G=anvmWW2d6ELuSlDBhAmi4aAIzfH1a$`vHa?xco~9te>6q=
zk92i3x0GXfkZx5U(}s*v@K09<bvpGUt0FLIJ9U0b(NisTlFPWo5V7-)H}^EcT8enb
zGw8C%e#Yx`C6xcX3*+r^I_Pse>iL133Z^+*hRL-IVHQuPD}y7k2j0e!PAJ$@0HKfH
zK7$+<g_0l2rwPXCT1rws?6HJ;r<VUUGHq3hNZl`Z$~3ui{G#ztcw^@;Cwa{vC;2x$
zt+lZ9`g4>Agq-1v!$5z#*<6oY%_q`q$lo)BpPn#A*cOsmM09@B6Jpa(n{L2?aqJtv
z#{9lT(?PcA`r34_D_s9WdK}ZsLWPH0<~-rGNj!9v@Guhpa|CrQoGtoR;i#P0^+6my
z08h^HWc>6#KGl9M4dbW$j$fbOy7rU&2*DtSedyMlXgQqc55V6&>{oweuRj02-uf=Q
z-ZokvZ^({H(rrmB<T4&$tv$ykeYk@vw|Lff5=rj7GOwcDX1luW7&l}x;MXIv*%QF8
zDD-IV?(Y5%l!+1^FbSb?nP|!&2Xfx4+8=BNZ`!w`roO1Xp#?*ip?1?=%GH&Yr|Wpr
zsam2tL>h=CuklYY@{^F13*fvh-xB89`N4kOsI#~W!&xDgSSfBzP~;4eRpMl-=zwN!
z5{!*~L6*)0@6+C-#NpJ@H9-TE*|wA?%XW93|4f@&oR9yV??vja@cc(K3Z2Q_xjEqB
zK{7ZIjMql;?wVRJ{Ep@HnEsi^f8OL~ey0&VY~Sbcn0AL${tA8%YnIPcj(h_z2Gs=)
z_B%<!KuzbH>@js2;{%MZOIrlvki-2*yony6nB{Q-NQrecVzPuh>4+bf*z9%dF(Myc
zRW{#VhWNF+lCxtD186@W20T13F^^m`SM?`yx8zrAu$6f3WN<I;Tx;dVHCn}_5ZvtG
zo<k^)Q~c-Ret!IrS@#9RWbY#)Hp5pP9XyWH8J^ih9#7>%<gHw_njf&nI`^^@w0vlQ
z8R4x%U%z6k)uMmf&m`A9aO0}Z{guL-cHM@Pu}U#hzPfpa>9^{E5~up&Y@Z+m&@Lih
zuC)6~jG6(Tl*Wr~O5wf@vY-vt%aDshrm7={ud}w0a-#2$vQc@5aWp84gz#fz>TswA
zHAqjbrtiE}2oidjhN827vxTIua&6Kyv<f728m1j?M3YTuGVz(V1n3|bMpk~lpLixV
zv<brKU4EMR>A@w=T_`9M_DxET)Y06C;Uva!l%F)=^=`hRw|`{@``PmNKD?@twg*Gu
zk|DtM2Q?VhxE1GqN}QZ4tkGmIZXelqK>my45bLZ_(7TtI%lx}h12}lL0nqa{h}z%q
zZOLdgVs09jnQ*hG8fLZCYwz`SmAn-iQ1kkbcc)vsv_C+pH5qm|&*I~%Np<_3-jW<&
z<_o&wmhd#N!v}(DgSueVoEJQT#PvoYbY(qZA1cLMZaBGAM-jum*v9G1WPVE?jpy^`
z+xFgRK_>*qx0T^Ga8238v)nOUB?`cKN+;>!dvvMUWg?@s!zm<ud!Q=gHl4SK*r}@?
zmR{@h!_A3gXBERYDUvR%>Fy?M;iq9YvBk%;4og5G&fP&9L#*%4o+g7qlg{tni%0%C
zTLp5VAn;~*mD_lWr~R@dhozPkk_8q7OcE2rN$pBl?;0=Tk5;Dm?oAh4K~5hw&EPTt
z65P!1y_uC$#)OR*dZK~2vb`DRogIYDiBriFu!V=%Xn{cUyY$o!QdSY}bDCMWLJHLs
z3MtBYdj2q(W6Cd)D1}y9u~>tc?%^`w_zH=+Lp9X<AMaHIwuMm1JRHrT@dZ%oku~B(
zKV&c8ZSq_l2_E?vk0M%ITZ^nrF!4A}MjF%;x7{*SC)mY6<(q$z*G-s<T^-3|Bm_$b
zXjcABJ?MW+?M?)*S9d~i;Dc!jmY}9K38S_Eccyi1FuEdLW_+dO#1E};u?cBYH*cKR
z<(t2KrQG0MKVKL25jZNO8x?jsK~g|pC#egl`Yu%YaI8n5{3dyu-OTat&Qnm&A-s1d
z_o~%<zb30kRDN+&z)b!`^Lq)t>_-bVG>xa_xd{#9>_u&@ZU$qegV=0w#deSZMyS6P
zw$nrjzp74bW{tT~p*S*ihuZR`c2$xju*jl!7JU1`@C38@MPE!~r}V-=-wYK11;6W7
z$>I6L2J$#r?1bt2^g5!yGCtr-!Kk7)C6;Kf@OkHp!<@jbO{B;*Clx}d|H7G}I|aV-
zF#)OqC8K(wqB*_zufr}w_`}`x&Y{{*sYz$yvr5zTDwKSQ+XXZ8^IK1zWn@CsscE@p
z(V^?C*F&rp^(;1j-Wu;WTs$$g?jC%2!^e2(_mM=u6aYm3ogkq^FB!ov8u~36b{U=^
zw=6N-y>@j@eX=)`pOX2Ipfbg)FvZTif8P-lgyeg#X%hyeR|J&y5F!z3+SAb5tU0Uc
zc-i2+|6yY&!x{19htVhk(zMMr16?y69A!|&9Wy|EIeZ+iM5C9NFYnrZA-7`h@3UWI
zkRQ#m=ncjv1nG~Qer8|W7^Ij&4UWrP<<X_c;b~OcY34LXq&M?*cc57!fD!XG2`L@K
zmWGmtHxjD-?07%3cIjo*eo`D52rlDxxp-|gjzk(ZYt;iTqkW_NYWICiaX*2MIP)4o
zw)^4Vn;zwj$J}TtG@zqX%=_k$=&_go6q^FW#yk$rIGzg4j$$z@C3dj5w4mL0d3H>@
zMO_~TYHQfbXvmEV!#=mb?Fg0n=iOX${e3;*6yRiIHBN`Uvd(tb9rMZH_bx|M>&*_e
zu+OJ>fezTdpMfNRle2<mOJkPQT9KjJWtkQeTF>guZff@=s4;ZiMn&}~l9TAZ<O$N9
z0&T&`{%6lF#j1+L+m)Xlde@gZb$|&zZASF_&O1*gb~eLk<+rabNdN9^j5!g^a{}X*
zGi~Ifr;k4azR?ac%$drYITct9CZnGpt3%~<rc?v3UUC^sJxH}Te~$FFQ-7n?p!}@^
zMNlFU;Thp!-|}R4wR-ERyWieI_?hv~37qd;+42E=Ho6Quu{pMt%nV=l{4hR}+i5aA
zyw2-F2A0F3{z;pDh@m6;l7Ct?dGGqT?TfXl!S#2-*kN;mdWj8rc~P<qSeAN9471nZ
zTzRT(XP$Yo$}fG!0Do+1*N!l2&w~;xGbMWb*9$?wS0CE$d>%$>wYp=25}LY>OQ%i}
z{9A39!$AG(5uEEc#XZTM)BOj63v006W4h$P-PY<~V!|g*|50O&*YlK`q+XG{lZ>dH
zdNUr}<=fl<p^Zl#;&XpOesFm&r3IsEWx<$JhZkF7JB8ud%a(6v_x51h*(5Un&~>t2
zHdGJjs4)q;Xa%edo(n(+X9)S*td1%^b)s2nD=2Cs#hKjkb-J)L5Z#{P@$_2LZQ$|n
zJfR>UAOO@i@}1dY;9$Ch;9U>(4d1%ltmrkXUjuuP-&|QVD0;*pW0wANFA)6O<9zw(
z(HZg%$V2$^>qxKlR_&)otEH_mcrJ46fb;C_^Ip%qt!+nh=EMrqOIVk)6Z{k5naD}K
z_`Dm?h|7U9ch5CRJPe>J#Qizu-u(1&O=ls3de-}(p79)S-}!HS8S;2-&+&SnP9A$@
zfeqgocu<d|Z8|sivu5oRal<T*lw~6tQ#i8X=mo6OG?qQzd>CG{MY@V!n4p1R(Rse}
zqRE6zIWjV`EJ3L=`Y(MU0k_MXheOcYJ<e%we*UM<kV)^#xB2dedERjoc3o$qar&|<
zB|thTBW#qPSg0gm>OyfatOw`wSe$$XIG@IYK~(Ps_Q#x*q7FoVaDBm@L^Am2iaDo2
zh#H{<-tc?Pv9^Jb)y)XxpXgKGB_bke(~gQNc+dHKke2rpeV4~wi{f|RVzx7)R(4oj
z$sD#|IRew`x08JP3E;NBxW#?n6(|eN7B0h%7pTYjZtQ<Ea*ly$xd2K@yWf7e>;V$=
zDrNW9p((vyMn7C_*5Gwt>co_Bp~w)|XbU(bry^L<BR%2P2EV<Yzs0@R;t)wav}UcL
zU}`wN+t7|n7etBsx5I<}ohMzb*IL-@5h3cgpW_9BcpBar%{%cBhE4B_?Ff2(NxRv9
zb96>K6<b1@RXizEl4R!gmcXxAQc7~+`CU#%d#NV}1O7FlB|85v!u(uQ2fx@;^J&C$
zQ!yb<z=266+6?cBs;MvaYito=s3r+IFFSfW$6a`MAmv`F4dF|OX#q!3<kZr6k*Gue
zPw5xhD+~kbi~^%cJAaXa_3uoDbW50OyO%LkI()c?1m|S%v6U%0#U-4VOONhxPg{!?
zcm~goRh+Ww`Pq_r3YU?Ho4}9DI_i8Cy}o7I$amV=)}uhAfGor9&lPimGKIO1)$WSV
z0v$V`2X5~Or(s4;{A|-Ie$nQO^!0KtjiNqZ(fhy;k=ef^Ag1h&d5crIumG9{lss*o
z7}KEa)F}s^C`NaqbIUtBz)VuUTlNmQ?}CM4!tG3Ufy+7(we9j{y7YC88*(hr%W5<F
zRsBQW^0O1*+skBOQ^5gp2N$Iido)HQ?5}#;uF@Ux)!C!rS0t$l9ur5&fWX!Cd{#Dd
zO26EXW29^g?j)J;Lzi*#Wz#V_9cQT#*5qc##eNL?MUR6&(N_C^AEdzEoaljvb}Zd!
zySl)_Xb7QOw^8acp^X@HPPjzWS78=*Jur<Kxg_iI?ZLdFk6$$tqtZb!2oon$99eB=
z8QLOs9F1cCu&n?;O<uCh&KF3Edf8VRSS5m{F(cZ)F3hW9;-J)bG_|mxoZw{^?HWbJ
z+Q+d<SWnGS=y8y0dJ^N+@<`$n$SJ0^h!>ODFvKc?)6IV~>^ZbR6)ukcO3!BfV=jln
z%Dsi{z4!5yq!vxb@s9Y<D2L=~8tvjCbky|Ef@vN>qR*#)knDS=`Gy||yD^hS%uyQ*
z_N42OXFX(-SGMl?SSo7FX~LS~0^mD;N*BZO2^j?efQ9l_slHrep!m6!N1t?zS=`vq
z{7bvzm|k+G-iMMSyjSP>c+^SxzwLVPyutfH;d?bAYZpbr|K4(G&{i|bRHitJVghY?
z>%Kl0lmI1N7kt@wqt|)=1fZ0OBQD~3{t0bMS$Vv(EHHpS9(2rSMYSz_o*6<XP%MkL
z0bSz(4<Gkmc8j~(nWY}TBJ-E|${{60gk{Y6QM+%j>|x%&3*Ei{B}iQ?PX}T%_dJl{
z<5M{TixslCwy(ySNzPfQ1Xj@3t>xUwGkIHS<@ce<mT5f0QS#TOdU1KYevRHz@vAu2
z5}mVPVp3s3_TN6>EZ4WxmVys!K%b*PC{3R0&q&mD7WXqa+E>xn?O|u%S!`urc8J0T
zcuXdYW{6PW4gD`A-o=0Ef__}@qY4JYE?nYizg4Mq*KtNOq7|bb!NJfB+I3&vHs9S2
z-MxaG=@DUJLmNq?3jLH%?fWRSIOB$1*^UKaL*0<+oRpQ7d6w#Tq^WDVjNxRvm~KMN
z-gi{Z_s2oyx3}X73JOMy?mR$@!s9pJ0?qYk04%sjR{uo(fD$++&d$mYtM3|XwZ)*)
zX(&Ah+lOgrRUj&2ksj8J5L`v3FP%a%Bl&7sopjYAuAK54EJ|V5$^;ps2a9ZS3X0^o
z=c42f&+Nqwg2LiooRS=Pm14yt3QUwy9A!D+XAt+EBSDT6hlES#y6NuK2Y#>GkOQMh
zsCrP#<~W^dBeZLZqsnHE#k`y1DN0#n+#K=UC$Ky%#fqy^;)sb(L3s#2aj8pt$zIO$
zUC26OsHdeS+L}|r^{HGm#7C}Nxc8K0jt56)NG4ZpjZ>23NI^NM`RrSr5@P3>9709J
z`eobiZry{T>C7beKtE_QM!(GXa;+}er&|fVP)~TZCL_6Enq3L(%Z+12AZNLED<rSO
zz2xQ5fk_VV?HVzDzjd7<j2oo(!xK+(RO#OVv5{7no^>m~ka$6m)s}|7zAu($8e@M!
z5zz&<bkn7-=5TkspwcPGgRS{zcfO{=bQqI{`BG`Z{Ls*giw?h{4g5EGWI<F(N#RNC
z$QzDxehNJx-GQ&A0U0BQp0p~4q7!F$NmPg8%5>n5TnNq}tC6^?_?6Hw)D1xA^e}Er
zWd8Uy4wzhGdo*UM8JopRjXMX*oVGd5zN^ZTph`~A=$T@TYL<sr0^4kGus(6-(IcUU
zE^o-WxmKm_!Rr{BnQF{&!cQ_^y0Qi}u&?lxEz3!=h{F24W>9INSv8P;56r=sCbufP
z9qj*ga4l-HmoD(?PMjU)C>wFg7Na{|+pK??ou{@U^@7I^dY-7b%;uV+Plf>nnC~@w
zl7yOG9{RqUXR+oU*z&E7X+N8T$yLI$UTjZjfUdeM0JLI`eCd}kLb;QQut50`FqN&+
zARqN5mfnj;8nf{aSj44^1LHh?l+m*+3rV~8_H&Ic7lsyNX540%fco0>7usPEOp{_b
z;(_kJFL6GZGH*Q9g1_ksq&QS`RZR;8iusSHomwr21-J*1t{CzG<h&|mtJWnRJt4PV
z42&H>{c}>geq@(FHoq85nRLwy*W%|6QHvQPO56bAIKLvpSc611o9%FzdLB%NOvP|k
zY?}+)+HfteZ5|!Bl0|*$=xAvCKi?FuBmf)IkA;^tr9?zbyx(gFk!}6aEWgZxLq4YL
z#h*bUT0CAXdzI@sUK^3t98n`9lFwIZy+cu0^u`>y{P^mSmFz|!I3}XbCoAbxo}Ul+
zx{C}cLl7W~GS1A^;_?6)Yl<)CG3p*-X5MeivNav_%C1?XUxBUjekVewn3M@;rivv!
zZg+ifaPS`jOvnW|aXS3IWD*hp-4KrX3b`9AesssVU0=J+dHW!C8m(BBwpg_o12KGa
zfsfzqw|Iu-pgbRLl6l^qYXTMhti11MvHEh8R(|Pyb5mVNT4@7@33TNi%2P{Co%Z~%
z(e_i_#Kh8Koq1gk2$HQI?AZ8(Kb!9!Dt;XDa%z65tU|W(-Gzc}zIEhezZ5%?%LpDm
z>}_Gz3}=+4pW*Mb=j=Y5S|KrYhDD}M>G9p_fv$X#skL(g+)M1n$n)KubL@;`X5I;F
z?iux_eT^UdH=V#)vhz=gRGnjU%uQL_Wzga}rGk8)u^c!`eGl5!5-03R-B$3*G4FVL
z+jx5o><hp<%1!dtX(k;VFCtGd=cs_JCmA!2b&36ZSMRVHri7wP=K5Ke<Ep~p?8pW9
zt&S(HPU_uO9IVz);0rfl+%nc*_0cQ99uAvUDqfqDl{r%bm{);Ys=VO-I?Ozq^x#@p
zaaND=Y!0t_)l$7<j55ojq+EV8k~tIJAwP95wrWbhiZNc9JZr@$w@*tsS<oCcY^>aZ
zkt4$$c_Y*FUv#=l(xu}R5W||vnJ2L4cr8kk;3hZdZU0%w5ka<fIwu}H@?GSSCb*)J
z(+2Hzyi!DNDRF+;n#M_9o1TPYU1!KpxFD4<-q_sN4kpjEcr<O)+%&*$F`)!dA)2|=
zcD6>CbaNWYLE>7;pu?SGf$tM?DoF8Bp4tAm$cI*gW~y`X^R3fA-<xE2{nFN!3!k`U
zS&Mbh+O)@9SFd>mZisc6CGPflp=6ek*z(>uez6~;&L4(tXw%nXor4wUSb@A&iBs;M
zcWjJ;bE#zr!(H=2U+)>tSJ6|Ojyx^1M$ha5YsB6xJ%0Qxk?}3bgvQ^ryl)nI-h}$1
zGc-jj=xPwc!Jlf}NM$pw011hyb>I(<-s3Pmts3)ooeLy&1h7z*_mZDB#bK`uc{J4|
zyABoE{27f(Utd<&ORH0Ilbo=-s+Zx8Ui$h7`X-rqXQNsF+0rf5c8NomCYLHYeX!Z$
zFtD=OS<mRQO&`3GQ9$zbWCRJF_mVgx0{6PMgjyl<hdfn?J`=a^j@yS#@W%bt_2bps
z!u)(pPf~F3zz=abdu|Q`u_UWk@9@HW7SjByu%v=3ILLBCWwz)0V6as0I#moLpwHI8
zy~erGb8LsLP)AS_xE#_Zu^rgTdp*p9n3rF@H8(fM{{IUlDA>QDXI+VDDSHbm`wWgL
z`-B7!w1<1M#agq)W_VZ>aclBazE>j<uK^+@;TMkAJEu2nNNfnilI&2M<SHh7(lTVy
zlK=2LtQ-#x^~F?KLs5P4Zm<wpglDjvPh!nd;bhK{GE<60oMTB|wd=-`o=D3oz)g=C
zaKY}^qMrHmTSnc!G4kme>n9d;S)?8%Vk_^hc<u6vXfI0Jx=ewA7?g@(9Q%0FYq2$=
z#sP&~CB7F+?<C`Iz?Z3m*JlBH%LFpDbF9NDYL@iE9nUa{6`^?AEOI`SR#upAAtCMo
z<7*s-*NEchCzCKYiC!jS_0KI-m*oR7WbOigs!k~a)s>=_9g1lep|HI&#FBZ<aV=hB
z0RffAT+#Ebf@p;!M!G%1z1@u3)J;1}mRe0wQ>5g&?)uu!6um^IcSNhEx1#)xo!DdO
z>qpPCd(SNrprq~<C5^>y&5q4%ssu<{p@ODaE&Nz;^%$)zf$q*p4@alVm)T&-P(;>d
zmJsdKv+?hMb@+N)$4RnToKutz;R%(fG50DpYpaMlyWxX#DlWrzQQ*kLyu`hSKbHZ!
zU#ItaHKV-bcA=0wX@YFp^<1~vSs5gc0xJ)Ba%8XWzRqbj_S~el$XQc#7n$0uxQkTB
z`unn|UHU%Fa)@QOJ#j){94n;_%0Ey04x4|Q4sBRz@|Tk=wk_RRCmD$rApau0wn@xt
zN=fYaf1hFLA)$2o?%6R*bWQB_o>PjM)V$692W>Hd>r&S)U5ff?$dF`Jn^Va#Ax52n
z>JjUh2@@9u4mQ4kMJcc|eQlKiVUS$J)6RZ>^*%s_%s396Q$T~Erbu*Cg=<gJWu}oB
zU$2M-1tgemp=rHF7B_v)D<f%aa@sbWy<bP;AkSW@L|zm-&IV9i*iUtC=pq{(;X1W!
z&ovJn0q<Zwi+_sk^?$p@oIp2&bP|U?rky&Vlk5}F!>HWBrc@^!OIe__sU>=ju8Ap!
zPwtY}(9rE&WT5GVfld>9ufcDcvmBjz#VK7Yx4^900T|Vupl>RB``Wbe!avbA^>_^9
z)uue^uYX=-j7s0vmd?4YC19McyPk+HNUM&v*?<~rN1kC{gkN`r>)a1j?N?inaSXjl
znYu1S8FU&x5XbKe-h<PE9@FYk6y6WtCgZs+&1|ivk2q-zBXb6|ab7$K2v!`B(j0QJ
z{Aj)7G&3}##8#*oS<N~9uP`=-6vn+Tr%r<xXVV=WH9NOUMxzih9_vw{ZGi@)nAWSa
zaVCJc+kpmnk6;Z%OfdgD<wZ<BDmkviPaF9_Eiz_?wdN@^AM7JQUNzwHYWFczbGzGw
zDO!yE^Dy1;ujsUSxrJiCh$9tUS&rE=;@%l1LP}jt7bq2-M7+z{aQMhDOXHK2T*Z3f
zq!8=P6w3bR7I_yX3mr}+&8LROG!PR5I&G7mZ@FyK<P=>Rz670$F1c*-y6C0zQy1af
z_7@HJeXPGwU#-@P;h2HuJi7#d7B93HKH>rwM!M2V)bODIrW!KcyYDQ(Z`rCy-#?s=
z+8nIHEQoeeVQ&%ysAKh{0*9bnVxmsPxdjM6)33VmwJwRSx^SghMq(S;QX){+RuPZM
zHrY#}I>~&V?3pDU@ud)D)!?acs#HnFrSRw|Yk`Y6>izYQKT|_3HeUlrpfb(<p>(em
zv5HK|KB|?wS8!QmVHuTLe0}Nr2bI1eox-Qfqcec=dEv3S@BM4M#bCMHVm`OxblbQB
z=5J|M6@*5VOCQ<mqqZu#+IsD(2HW2ac39L$?Iu4*G%RE6hHvEg?jtnxVOg@$>_5fU
zi(v3`5K}o+X-Z*j?EaeG<0%qrupKMyPoJ3rQoibKpM?J**buG)5>Ci7mFnTfW&-0a
zWSPn;udR~KVE`SGopKQ447p@$w_puit0qr1$!rq&f^GU%YPxg^YTC0w@Seurt{a>4
z5ierARv}4Ljzi-mh{G1}n=fOHSt4(FMVzjs{>PrXp@V=S<5*;({{-#Vz(A^sBR=Nz
zNt^i!(*#>4bus3``sB(8H{ae!B5s2(e_)ME+~V28(X8TmQsWGD2USDo!#SmogMNLT
zn4FNuvM|1+7$3fz)keaTlu4t{)ms)UX>9%>2M<VCoVv}=oR7OlV=}R0?(B`xaUrow
z9uYPay-zk%?#jJ1jS|@rV**}gB%pMFOp4ib7}C{Yi_-Z9(k<<*vY*a~F=@~AW!qB5
zpnZg>wOlr{$)w6!kanHBuJ{4&R<z;Lw(ix(jD?-b+(qR}b$?C+crQEPIsb$Y@^+-j
zO`22?oobmDPCu7^C@hU+jwOJcg2)71F}I}e#pjf_J4GhzFgv^@Zo=@8kpL#<2*Q6|
zsq&YmTX+?{6G&5ysYw35sO`ldp8r)wO<qBQQKLHt=VeaOC!YLkj`uQPdK#MStiKo=
zF%=u_+B#eW$9|r1Jt2_OSqCbG8{)P0%=y=|7$%7>N<|AKC1>Q^HK@XajO&)w+=zU=
zKP@FABlFsep-BxfT1&gQe|HetA*_Jho$;gk`%=L%9}`oS;6?%Dd$J|}U$fWtv+JP%
z05!TCX4&K_JO(@^z4@CE-R1)%@8Dy&nYms#Y80bhOMY!F>hWSVzePZ9g><+>T^g|U
zBm^w|X5tX@(ZRuR_Qjoqen6UqHP+6F`%w7A5cpcuC6K=9sdL!4mup&(ld;_5fy^=v
zBXeM0AH`RKK|@0!Xv4yA)GRom$e2Jz6urc>5;??1v39vEGl3}|ai5c6qufR;SQLrR
zk74IUBi-`(1x*D<&EWHdla{7(0ZNSolZQ;l(-#}(ZhQSAJeBk2@?`f;M%IQ7>#GR-
z++2#osHzD`(H5O!Q)~h|`n%oM*u)t~!s+Lx7pjiHT~C#JHyX)~6N<TfZoXmdb|$}s
zGTz=7?`eSogNl%|Q$qguM?>I#EB$2Cto-0~^)jGur0EzHnd!IFb$wN9bSfbcZBQV1
z@{7*s0{@UF?_G{%;(|_H#t^uhT4q1jB6!rBDKg^~pNCP5i>!-SbV%af2@+I*gMDtw
z*GRK2bttO>cC@ovkuF7El9j1+l#Z^)Z<rV<OI*o-Nz6kGd9;Q<W!I@n`X=ie=8mzh
z))0`{td>1@RnG_UqH2%*Iv!C#Bkv3u*3^bn3zOD(Fj<xz74A>tL+olU_UE~1_TVlN
zI+*m|a_;0ZE#PX3QuD6Gi}HjJmF4e*_-d$@T`dd-m$tU{;Uh9{s^S-^)MS$}FLzbV
zR_q)r;Uat;++y}7<?DaDvPh*@<IU+Ia#;c<&`QTG@m<~0U9+py8cNK3t!qlAaU~4A
z3e!h^FGyVe#<mL9AWl1xTXYf7a7JR$<0#{aKgMQ_!`RyC;{<&xXN2b$UN((0n$AvH
zY3CpE<2@~L+h0muLIwb|s82`jV9oVGE|2wXEdn}yw&)Z$X!pRso>l4{Qp=8|6yv@A
zrYNIx>gylu&kn^E=jz;bi2|Rm^d6@_D0JvMe>2fSU6`h=F0o?!SpYsw7ip5{?33Y4
z&P=!Tmy*@LmYW#dcV16qTrnkB9v~i9jXUCqT1r|XU~6cv=0C<+Ny!SqMG4^L2DL{z
zHG0YhiM&A+FLCcp>w%Q8C=2d$<&!UjGVQ#Zq6O-@o*IM*y_FQcl>sIvCuckY=HCME
zJ2zv!$|3!$6>g^4I!%MG6r`zjj)OF{|Lp;|MBUpo_;Lu4Pn|Wll6&$uT}FvMh7bOy
z43COJc&8$JKWv8sS6BIudNSnUvbdc_T6=C8IXF2@hNG~&_cE;Nyf01l{Z5<9*yLd$
zJ+MpvUjGXVevGy<i^n^HzyCf4c|Ys<JexfREgJjmNHV$$o$vbck2{2X8}H-e;!xHg
zPlXuhf`5+hUTM-o{4LY@y_g_mgm+8KtjVyiU%vJCixBdABJq2jiSr4HyUlnIDJUpB
zv<88>{T~KNgi^M15+JXA@#t^eb&vAT_2xKpS!ON8Uf%Z$uToghBs$h1$DM0oMQM^a
z0T7xjc3xFh{n9-`$j<rzZN(#;rbj(nrJay0ly)%AqJGW_d00G&cY|5=+9S4{RU;HK
zX){tUPO_=W30)pf_7SJcSru){xMOMj{yQSM>Iu4`j{mP5CP}<n@uF43L|mv&uTDC0
z#w43SGYP=*!G-}fRJ@bj@m$k}Jo8HL1zEIH=k@IQF7-9@`3^HEZ^n^D;tHxarG~Mr
z35Kj%Ft@}nMr{v<Ho;eSj{-j^DLPKi0`cQ1S18S$DB^m!$yl62ahsjKX%Gx;2Wpf(
zCQPd@K~xTLM22Ib`lCGNU~alJ5TxnakCb!Hwux4-E*CO)y{a$CQk1V}jbj?%-r%Vy
z_9?gH;n=&ujQ-W(p4?gc5D#_4CeOL-fxhz?*PtxXpef#LoVCEflWrX&EVk3e4<&%q
zI3@~nQN3EY*8v5{?v@y^@+HaX;6}$>q-17lLn%P}u6Y(-C?T%)@j!R<=zu-L@j!sE
zFD&*gPMPLItyVqi6l7=L4%rdksJm$h3SAa;qss$T$J99TjGe{o4eCP)Mvtkw^t9fx
zAMqAZmA#-hX8<=(yT?r4PyjmAMYU``$YrME9JW%ZjYU;OZnwl(jJR$nQM9K;JKBSw
zjtNNpFuRsVgLTbdmoC(ZGQ(T)hk`du9yJK(&QOIanHD$jl%4gdOa6R%*_xrsK5!4)
z0{}?<b4;}&)iTKb&w8T08NXE`35-!wFjTmA1*3SqcjqiAV`^-&pG8xE%aapyu-W85
zP#jRq0XHU^>NN8A(FY=I3@X(*Xk7E_I=B4WZEcGFQHGXQdHyscCesORnpOfqQagi;
zk)BQ{!Ho9l(|*Ial~VsYx6yYe;WxI|Hiz;VhSuzH-oGyEvrnfber0`1(~}k&;Oo_4
zY?VShD<NmzRITdkGxQY+4unN$s<{P8ChtS;*~Wf{6@W2U(SR^kM$%^Pxi$7mdkhD&
zIWA)lIVA9%B77CwK4->fkhT^C@sJFC_k@1$sxP9Ao}qgmC!J<CHsTf+HJe&mP>vmZ
zLHy8-%Q5sdZO}pB)}ZKSyCpi3cNDA<p?i!)RTujj;b@c}6E>6`?*CPTw^LW!+eb+K
z{YNJD5yw5W5y#B3QBy}J(kTeM`f%6U8!PB{x7EC4I5-kZ0EC!#_w)!+B*|c6VHFe?
ze_*$q=)2k-ueV=j^A^Yj@@qlh@$`J_*xRCh13q6dNKcRS|Ht4GA6A7Kvqfg?QbOAC
z^b1I0-T}n#dZ0?D@dCn(dvzyt91yj0f$|VnK@0r&lUI=HsTDY3&2I{&48<$S&)p_f
zT1-$Su43beK^>gP2KraL8qs6wB>(Z0XQ8wH=fNr?Dd>J4GYWIhIMLdSi~ZE8HEO=n
zeMG>%^Q=zVEJIcP#;!L6)YvIO=Pw}F#6!$on}`BHK^%4w8M}PGdv*2+^!ueXuW*J8
zw8E1_W5bhpQejbeE<NoQ@2$Crz?#RvAJ#o9yyihiuRKj-!|xarcfrw>kTsSXP|90A
zU~i2)P_`^0A(W_!-(lrD<A1po?R;<YyQ!sjoDJ)>6SLIjv$EYMb(2h4G2=sN!nzQ^
zd->k_+;*+}qF5Wzc#J*5j6yVBs)D`PdSs@X>n^@%=_3?~j4G^}Ohn}tJI*wE!POyB
zEW>)=ZF<;-Tv*<gzb2bDU`I}?1*^P?so>Wp2Q|!04btR2fpi`n)P5eAcPM1v`J`Bg
zrSigfi}RIg{ywmcc|G8x5>o2O(U`9;WG3SXmyX<B_$R3M8;ev(uXq9xD+p@}@12}M
zy2B=F<!+!Q<@(pNAsRZZ<pN>jPRQl0Dc-uKi?5TGw#EdvVxTj*BO;}pmdY?^olIrq
zk#Ot4DrKU(P(5C4&u7=!P=ye{A<6GaQJ%v{qqcq6mc1B=?vbhSw6~v7j=6*<G_}W*
zWrtUtLxKT_vCpf@$_eLqhAt5vIM~v0VR-BwFoR^81Af<;S?DzT%bA<w<uQJ3hx39@
zu(=x})8x$~TEs?o6C@@{Q~%9IV~A|P&i=_<KGCDjFZG_ZZ0Q{=?|0+OQNf2}S7SFP
z!W5G%tjYSjlVT$GOQa*W>kSF~>Jnr`lDaq#;3C2Ys3mH|x7K6SM?ccnh7rfjc6Zs-
zG4)Pb6abV@Kkl{CpC;F~S|I%Jl%V><&r#YgI8C)T=pZlmc|rv#R#T;rw@;|DCGi6%
zjLd7lt8H(BYbi>^rGk3-1O&Mj+2#OcOgR9)(bM6?%&I~@c)v_O62uXO^c(jbm6l$j
zNSMSF7|vipDttxqIPuP(3$EJQ95(;W%-`{91OV}RD{4oL+4{e+_XRWq>4)DxF2gg3
z1lVQ|7jdgYmfrgXU`dxJOPDkbwAej}#iHU+jD|DVei5ma9<U}`w_+MU;S?z3`T#G}
zl~_Ys2_;Bw<CcCl1S%D3kWoq6z4^&PwILRe<qvWJ!^<G;R8g-xlF>e?r)Rt@$H5f4
zT&B$lZ5Nlj5LsXEw}u$bIzDz4YD6X+woaZrqoZAB$HDy`iPbA;uLAK(%odyNv}h^H
z#3z|_fZ`~IZMhS)t<{36>rh+W-LfirWBvjAn;+Su#~O}j^0i^|rzCu{#~f$xi``6v
z3`+;&Sl5-l&><9JgR`zzolwv%ei@bd8JE_|{k1X^Hkd|?l8H7NyOI57eaJOFm#~Q<
z6G&#rKAdUNL#HY8Z`WMcmmI?$S(eLL#S({mY&~yN2)&@b$~j`?6`JY`e=_;HyLiJ7
zf(T%M&%8AA--P79HT_cfkBg8YmjgFy&S35gtNxyT%vW=C-$b!`3J_-NGTqT=pZ&Qh
z){Rw-Fw8f3sP*v{rcz|9rvdx=@@S55>u1gylGcd(WYP?xJ9ahw`SIh4T!ls%O?f08
z)M4AxVmmwJsA+@QnjR@lW!z6^iytN|H9NxugVsFdYj%yzTkLp6U>Jq&_izQX)_UZU
znr8LY9Asxae<@EO%SUeCuIN)Utri~2Z#tT0x<DqF{S?do89Nh+F*Xf8n*ifDq)kO`
z>06Grmh8Mv4lj!}`vAllfiyEs3rU%vyhipHuk;$&R%#f4TlQ*nJ)a=dm{4p85uFu|
z5&T2?p?o8=UV)1p=cIUmbGO$D{hdQ35Z5AS!f={&!|zZP->L?KTl&e#P_6HG)l36Q
z#aVE?&Ta$c;?D$I;=1uH6JJ;QO3t5Gkpb*dY$Ah!iHt;YS`GHJsf1G>Rykvl^DKcb
z3@i~g!;~`&eC~HA$5mV@&rCl}eDc3H+Z~oY@k$uhORBI*!7J8(kykbOlooP?aBEqC
ztuCcGAM6+NKbo#GDyp_?527F-BHbX;(%s$N-3^ihICKcorF3^ncZ1|eclRLO()}Ht
zcYU+gS^SwFGtAld+54((TH*A{NA*e9B3D<d);^xk`Q8W=y62h$#50;?S?gk4DhdC8
zoo)7I+5>!RQv+o61zrB{#Vm5F=|wjzNp6`y!<Af%{{l0;)TEi-Iy1XLk3@lNNX7r&
zc`BHL_Q?Bi6CxPBBM71EXg9^)PE3fYiR%^*%x%gNsp4UkW+kLnL`18<``$2H(i;M1
z<*RC9ob=f&pU$d|FD|2`B+D@{LYdJ2mHOwO@yAb-CK(XPxUq?AzVv7`kRg|f&LH6)
zf9&w2e4&LNa_FzIYc5$=f)U~Suh)}J(^^+%6cnuDCj<MYWnjrMNBU1+YF6m~6<@hd
zy`G<tnkMdyu@<S}&`SvE_pqY23H}l;9?`teCr-YDW8k1CYdx2gd*Hz>AAcm8CQS_6
zna3v|RAHxFoOF_7jTR+T>1a+M01eab4m)<TDQB%^ZXBR5>flNEsAZFN+Q;)NbjzDo
z<^L#F{Z=O(#N>u~DU?bs+br(|iw!d5G+chgl#WijcO=u2smP}C3hiC^nzGjIu4e<{
z<L!}b)(wBXWHAuKQ(-a$60m9yqoMMUJCC-oL|NfW`OeL8@FvnSHT#}Jmm#y&(vtnw
znK!X0!IZgAe2~1+Xb@}i!Q=>?$1NDkK*^!2P_IuL6<_k}QGPQ;bGC@Jm2Hs+nLt$8
zn{oztQND7SIwjz&`)JLH$<CH{>>TvAR*b!{x1RREJYGZ6jjONkE7L(P2OpHCrvXkS
zJeD!LS;~yvy3{<QFUA%>|Lf3i`?_UVdbiEyfNAR5k?OnUQ8_D!9#z=!;L_Q7g3W3=
z^6=4^J3r_Ly?MHILt6?aMt$ZZU*BjCr|`K;zKH%ck<V~T<iuK3EOI!sH%VKOOo$dD
zIke3V2K`~-6>Ma5`QDpOVMVyg8l|@3!ddNToBZnU9MvX{3!5(q4^EZ{KV?_T*dGTj
zHQiy3rbqmF=0C2NL~?OAJYe3=<woI0D^i&+lF2ulzo*j%u4!a?N)Dcz4n>za{g9kf
zgFD>cUHS?YVqtG4HlP2TVR!BCo}XR%M*W_&cgS9<1k(~~*Dxh;V$}?xryQhmP1HN{
zHi&b-w;#rs>!SCxkCg|v1Uf@A-)$X7086SMmCzE9A$jeWgZRT0*<p%JIu;edYL*Fq
zaaI)Jcq>KrVqDk%roi8$!ibFJ=?IMr!PcA{|LNgg9zQ!2zV5fY`U3U@ExG9W&d(<w
zh6>@}$9L&|E2vp*bT9I<-y(w*Hs9$lv16uI<O!kojCMG*jr)F3B3X;c=d6io?@oDh
z8Sqkm%<r|=s?lsq3panI^4v_FjcgJ}1C%T9>c$Vf7jk98(b6(A@<XfeKD}OFjx@^w
zJ-JLB+>EUN3vv1&)D@L!Q8V=l$(rf`9Q6uK`3@MqPF-7X3*xx(_WOo1Le8wu8Q%(R
z(xs~aPfn{3FnGn}WpRrz@lb~^j5sBK_VDu5StR2p=>KJ2ywYq>IbzFh4uVvvv__Mc
zIX4;PTU+2KtXSu3KMJ0ak?vA|ITMbwrd2Cy+-Z!t#zwj~hebX)m|?d@nZC<`<n|Az
zPsoC$#PLBzA=I_5r4fHEe|G`30F5n~azMP)(ifkZ?kNknu6y-!dnGL!?8Il|*BsD3
zp%8x^jh9EIC;4Q-Q8ZEiqhvo_H+~8zFS*k9Z;x~_UFm&~C+NX#Hvkw-ec<>jW>+c@
z|7R+q<d$>V9>2L~{FF$1F*!?a{56%hM^Fa1hh1``5)yXdjA-k|KS;YZy=JT*SwF4d
zdi*ZWdEg(iAWpq+i)FdUPfrWuWq#j`oAw9M9mCzb%clG<teJ<NnC&ZvPYItpKZ&qd
zv|U7|nSJtOl#~b0ze<mmn&z;T{xv$PI5B~d-_#Bh_(DK|j8Fagi=m2U9B`v&XZ7n8
z&Le}h{$Vu1+Kd(78Qp4#h`=!yx-fsaumk_HPo3yL@`34^4%ZBx*byRxMe_^WdbK2H
zS}AHEf?VQf)8CaYGCUhXZ5C4lWt?+e-?Ofys!f)Y?N9u`c7cbF5I8c|*r2p}>l;0w
zn!3Y1<6Z0*o}iWD1_^VCO_}(^6O^uHOv;PC&!i)qg|8iCFQ=YPT^?B1K>gYJ!9Ebi
zgEaZ=gHM0Sg}=L>_NO{csscy_PA(cX9j(!@XFl@PtAeb7I(=8)^g<ylx>EVE&n-o5
zF!u$~$c8bxnuwvA5Aa5O7GDIc^a=4LR%lY9n9cCN;f(Dam%Q2|={seXmAG&TDDyvZ
zj92=y>!+EAuH^SmlN|>OmauJh^LGdh4pv}#hI%wjs<e)a$OQwgSD<uDwu&r4q*A&<
z6HO6HoTO=3+a#~I+3^<&XMA?(T~+l7bLQ@R@a)a+DjydcScUHdEQ*grqnVbJt|6SY
z`4MSx44Ur3Tkz$i_UIz>hZ%0Egt?T~WChbe32!C|sq1@aw2%s2mg{FxB_2ntrF
zil!ymvikMEr=KuQ-O|}1wWGw(sW74Ag>QbVr?IDj%l8ueX?;Bme5X!B??L{VY%o|j
zZBv^i0uHv8$*-bUY~C6-)A<oUXKSouP)!fkS;|fpqYZLquaEUjhM66hcANFzAIw!s
zef;n;DXM5_yaBo2ZY7-o;!2!v!l0cjKS77iM~Hj-FX<mZtuKTGZYa{zroOIaomN)H
z!~So4<i=GtT8CniK69tzpd5SNqdvGU6{^iPBCKy!h`Bc(eBiGjYx!+w#8FY48uKP7
zsu+xuJE0bywm&MRI5nPzY~pu=XLz*q&F$_wqlO!6l@P&TPRi6W5<ho>MzdTu2vB{B
z&VA)3dJnM7m~RmRoAwIRj2oAJ4wwTF7PHTttKD)Fx<jMaMKm={_Xe}KAnC8?9X{sf
zPzQ^;>R$sk%~%u$oUIYNlqr_rbmzXZSH)pBJf4dAJIQ4iDPwZeab1Ej<BHj<g}Vja
zYE-H^sy27WA!^AyqHt%WzhR$p)xn;gO4^ZKI}}ep!&HKK67W9Ijh{opivOT}rq7*E
zdk{ZanA4)FJD;a5<Yg+#SNlYxMYH2-qX-|nci!ggUJ}?(RvxyNW1%B6&RrTh)(BUf
z+O{U^+GebqPkug@i!W(AHUZv3KI6Y~=9|d8pZY|((qnyuE}4=94W0V4WF~$-Tfp+U
zN{#3nMMj9oJ`;5J<PAN9giFW~WF2u=vLf@~Eb8W8Q6DCtv{$G8nADeFdp~K4jg&?D
zSts~JzmCAjdjpAorakNK7`xJ{B3=VL#yn`C>MR;sWmYXU`6oGTRM6%@M>-KNBThby
zLt?jiGhvOaM*htcUr{#lJxDrn>e2M1;GnBi65c;C)U2oQS(pY(mC0a-S$*{*3_zK@
z7aEN@)mA?$|G>}CFZ8gD^c~4kyS?3Hw>BK%)1cAx-d4A8q31gk1R}vypCvWBmf}s%
zOO(=;hy~cM%~$F=0XK8S_Eb|{{97pO!Xri3G3>pOGMypWpda^9Ce#5X{9!viVOv-+
ziSu0cA1Cdc8MCu&Csn!Ed)^9f5~4zigFud{GC+m}jf~NnC2QE+87(<z%K#Kwq+FV^
z;8xGRvu%t(bM*SS$|6d|qZ&wq;9!V_St6wRhE;WS+uSGecl<1cE<al$oYIoB=^$kj
zeg1-TqRRvxQ$=w%X+=AdWghzT>9C7?lbhQU+ildy?~*gSr7cX07;mAZsDQV9w8EVc
zvl|3f=z^2Xm@bb~%187eE7rgO>0fd1*76fKkxh@@W9!+MHBIxcyqYv46j_2lV^`zy
z^*eeMkz|7u;%TXXysS2=@PSVnL0Kk6zfMEc;w$HL?$KlZo(|mdy+}40g_d5R=x$)`
z#97w!ZI=7`H$-IvgD57SJ-J&ysXUclQ<jHozh|!ZMBM(ZCmmk=-7j+|o*KWiH4^|L
zJ*WBor|NK$6#GwSWyM#K&W`QZa%_nQ@`jC}!KxqcrB<xy$8ku1lj>#l3IP#=q&_>P
zO}FKK{bMnL!5LlT%=q%!`rPnFnRh1qHHU~dQ@77yCnL9f%i2Cj$mK5}le-ZfZumVs
z8o$4i@4vVga2o;S#7)$+|Eu(LrqUPtB`^x~`%69SYRM5g#MBuHCGmRaw(7Ct{{7{s
zW2Rz$b#wer4i3a7Cky_&`RqTcji=|ibT%C==6>mZ-qc@|?L;N=zc0Wh$mfUN0q%09
zsL|2C4iSR=`Mti&mqGQtmW6+^11_e{(SIVl=L@@;$C<ajGC!`GKz;IteJ}kQ#j>g&
zcC0S2y2p?x;;45CzA}%Fr~2^^6lL>Y!0PgHB%nqScs^-%*?9#5!de637At^dM$iA4
zo}Cv>)n5Low)C_WJ<plXWbWk<SE(NN`b%!h_=KDRz0d;!E7)D3&bTXa`ve{Y@^z!+
z*vGx$@<UDPFtwI4H&-?wrvV^8Y&XL?<i^pIkS_CANh@w>2=G=7UNX8vu)ft1_i8t`
z;gfw19PHuW9ug5OOLP8`Zf^?ROTjvQ*nht0Tom0^vAMphymIJYJ^cxe_BA!uHyn?W
zBzNY)fN&Fu5xmVBb5qr8T#B-TxD$^rAZV$)8W1VmM6Dj$#Dof4-JMX(Z6+4vL-fab
z4>KwF8i;Ih-~HrV{_wM|USgRs;;2$45mTN5>yVl_dq^oRdV)UOMqhKX&-L}gt$mR}
z4d%dv$HluJ4d%`T#ctIp$ww$t4pR9pG1M|A7?!+t6;p8jpV9Wr5!BeXAM}fECDQ8M
zTK4}fB{)pllA_@tAC)nN?+N?Yu|Md;8JpPX`L>d4{#@fE?8R+#wp_v)`9bx^0pldE
z#3B4T<tpXYJ|>D?!do7cEhKqO)9AK2YXw?wRAvYye$==<Ldd!)uS(bp-xs*RpId^@
zRZKsauy}kl_I5|Zz%7MyVpjg_-T(D$<Mokaedu*~;7WwaQ@XTiqg|{it9J4#iwRUo
z(=ej`YuwK%j)(gL!qWp{y$}G@zEpuZ!Fn!Ts&cDI)WYSQ_WsIf^I5P0Wn}#6n?SpO
z`^G6czpt?nM#;~ee)_52>Y*^{DD~&;v<3xQOSQk4P>vzjB>gz+6CBL2$gC)#xo-r0
zoB#AQtDb&h#N`8mVl_YwCCzNfj`!6wnW(&OG=EU40Se<ibA>Da_Ojk!tg!!LV!06Y
zNBzL?Ke~@w6gY)FmOf68H7b*@ix$$mFQKUl>4d}J79o0*)Y7kU^Nc&jx56A5ttZx|
zy^v*+QBInLU=}$RFCpT&WOV3cZ{2oD?#7tR>{{CV<v6Q89^+_{{(+;#qMMH1X#H{n
z$V-w!p>^~Mvm(mX&*`4WS1DPoF5{=`fn|d)_q|kuPA%ddn{BdAg$(Z@yB_(ljDrO=
z$sD^kPk!8QwG{fPAGPt@6sVr5t@;1RVms8vs%r4=T6s>#Dw`2(sW@^dv3eKpPefSL
z-gx);;X68qp6fCy&cz)}FsNqgt!J+{b1;up#^Il>qSQbpuvRKv<amQ1-!7CH>*(4D
z^<JrqI|Mgk;3j3p;IGmaJH@Y0);O0j7$GRkeUL_UVuxU*A#!bId@~rI7v|svP<<bp
z+~K+TzU7|>qddH9Z^X>FyI2^Rb`ug3tZnmfQGv<;4$$YWI-4oQFH1n2YHVz5+|z%P
z&QB*54*}mA7_WO7=OO7~A9bc52>y}!e)*abcC**709-l0${k9v=Z4dx<)}DJByI2$
z=Vr_#eBhsaMhL#E(Gu+*^w3GgY;LrBeTYn7&I0--(0{~zx&ren_rGSOeTV;??T+?;
zqsA-?t&(M^5=GR*=D{^KbhX$p*knQSK~~roD;^wN`u^B%${X*vXeZ8qZEci>_s7Cg
zF#P=bzg`#K4lfmt%cvjPxaQ0E><BP-Oh624PlG|HuK?f+^=lD*Ii|P^m<gk97Qzpz
zTE1Y^v;_058OC_Mw?hQsF+2CIVult@-Sk9fyj&nqL|-Ufp<<s!9JQIE4i7NUZMLNn
zc>DB8gj%t3FA9au#c*xr*n3T&Bgag(26XrO|0lQ|#o->Y<bUL9%pN=dgb!%2b0$HK
zRkA3ayGeNWsz+M>`6sOOZLD-jYDSt4kjvw_%1&7y(Hi~m<ydfq9}z7>bf!5SBnV<=
z_H6ss0zQv)oxZ23E!*$JYfVf^X{`9j)60v+tpDAzQx9qp*{?IH+!0i^qHmhDjz1{U
zI0934KWZXQq)dXt`nS!mh$H(eEc%|(1#=<bK}a{Xj-&bRnj%vk{&g6R9_7phvyH?4
zm`RQ{pINSgoLlJbKBQEdY}2V~>~OgINV@SRLPi73+?nxbyy?&MrFNt>|09?;#!3AG
z8d^YO=&+=@OR=v^Pn{VzCo;!8LO(Yw`Lko1<YK3BC&BG+<MmY%%F)&9(AiOj-Y@#F
zzh9Zfv5sTZ?MEG-OU$ar9UPljJCDrj&Uht%##r>Z46-g&<!!(oI2+~Q{jGzq(zN7v
zrqOX}OAIZ~+;Xm+eD6~_7DQWFsTZ6N_Y1+v8nX;_whB1Phli;e331|NDcD7VifgPa
zsoMNxnXNy4EE_O_=;J<Q@%6M~#3$6F-mJ-01WcKBt!5f7-;MXYrHW&2=eyh{n$Dt?
z-At{GFtd>zx6)OI#_6H050oPsj|X=Ib-K%vGiI@1qkQ?yT-%1_@_Fd&7G+fIbCQ_L
zM}LL;rPKM@cJApJv;~Q1wR6=-4C|=Su?`MV7X0LVO0|!&$lNnC7&$Dg+v0;6^${KX
z(pst?bdtEYc?_yw0R|Cf3};2Qcb1mb78bUAX_94upM27mNK#WWlF7K7Gf))!8ou{&
zq)s(XNz@f?FHbHf<9GNifofIbw*A%N@`l;y{-m2zTbkE7I%rW%-8Vm`w+8A=$mVQu
z6K65t2dv<W%XSzqQRxhK{l42&<FAc~+dC)sV6Yf5eQ!l*4rv`8RP0bp<o^0+3qdE%
zjz#L6BZ<e!<~7Kic-Ca;Y-*@UiUiRmK<`KfVr9oLQ8pby|LsrpJkN-sEc7?7&?;i1
zCA|0$do;INKmOKG@6(9QS*k+h%ny$2;iK-Utd=)|t*D&~b*O88TO8T2N0plT{Nz@5
zIn!yb))Lj&OIr}dz$Rx~y>D)m8?+bsaQP|8ku)Y0V+4Up;ZP1E#He9<>#CjFJU8T%
zUiO|Ct5EGkBzB)mRiQTml?Q?HW_md9oU6VL7?V|(z^8<fDEzQ%`*-QCY(tloC1=-R
zF1F4mY1x{kuu!mvNM%Whh=RgM@sX^Y+{-9;#V(!?v{p|0#vBA^5nty_BoqW#Q-l3{
zpCleUc1U)qd@eGCKC*+DNO^;k(1?eqlTmExz%$)@+NuVDh25g^dWHddiA=&&Nn&0f
zBN;}H+)d};>}(u_w$5m1BH#R{Ibfb(DbL44^L^;4N*lSk#^qXHE$8d!%V$H-VTefb
zY&3Dan0Z*kxurIfnNXF7D2X)Z5onBhmeIFj0B=w(#AT>%pC|UjZtV$K%i9SH13U;u
zO-^LT9rq6U-e-MgJ~aP9UC;uKxU)4}!#5!dks0kPHy4jFAJe_FW^5GE8yX<63^-GU
zVUC3L#UM8DYCgeq0@iweP_5Hc?!q4%0?z>SL+icn+9fpDj2JW<xsNWA>%Y(L)Uc7;
z!uznlcwo#7GIBqZDHC#cZ4=|&tQM-ly(jmA12MWFYg~EKe{OpV+*rz{bkK(Y4sB(3
zBtR<7jVWyVz#J{XWlZfgkX6jQ+v2<LH)+C55cL9e!@}vDfE95j`_m<69!*GLPTcRZ
z#zIm_9|?zfCzJ;*RW<%)!hiDN+p)xEz&~0x#K2uFz`N9x8^30uN)lHxi}xrBq$$|Q
zR<qX9#~N^y!Vsrrk&Qo657(%+WXCN{u;w4=m3bgv3{eTgoeu5%N4!g&sS>PmX^+7m
zIPzI_Tbsi*OD_M;Ci1Gcw9sXr7gTqN`E~Iqm*v+P!ueAAEGkIAB=?=hZI~&8mYO5#
zZHc2~7gJpXi}<8C^>zYxvnvSHeYkj&?%JWS3YTNRlt-=;<*Ee!tXeHVbvT8Q11@$(
zS4h!nK=gM;T%iM^Kswl9*ozE|d7nP<Ar>!seWbe5+9wNd4N|E?faSJzTNYMF72Wzs
z+p~u~VMQr>^WMut2>!5?goUXrUpnv|TC(|qFFCX|)goLOL;O6>DEaH$n4E*KVp!;X
zs0T?1Z9`Sa3#0<o<nT)mD3G%#yBAq3-Gc@CXWuHT?Dlc&jQp;_N3|}a|2}2<4H&)(
z_we39tBRTt58R0R?~V|E`X-Iqz~o&x>G6MJQ!5j$thfeje;2<r(+IRL(>9!?oK$fs
zd2Q%-#P>Ex^whJ@OKRir`yintG^}j{M!EKVVR)NK(twLK2{DD!LAHh?R3NoYmG7e_
z+|Eo}Iax_;bH+$inQS8^1&-I?4UMMZ<8r+D%-{$Bk3}b(v6SfO$B$S?{u?b>@g@b0
z>pZu`wu$^QAKhHnSS}Y)fy9}{`zoG~%FYbgix9Ysu=Br3Qfr3$jbn@fxTK=+i{=}B
ze#pGzKjf9@Wx=T6NO~*n_(~GevHdn8N0>-X(POOI>!XIWtwBFoW?WImo!o6n2IJIi
z(AOB1$$}?t34<TB(mTD^Qw#PE(Q@jCuV$a$Vg$y`3d}~!O)HkIaE+#ioftr9S#{rY
z33&=ZuD<ppTVnYZxn?9^#2k=C;;_tJxzmuX^F+%t?Rcn!%RDr}s}*RK>GTx%FC&Ew
zp~4AIg>)u)kRXA4>H2t+bMwt*Od`fBI7G1Sj8p&pMwXJco<qOR>(%wwu-Gxt8K8(?
zvNh)7HD<;GJOk_3_y5@vJG1?6hm87x*%6cfa$3zDNJcy5@;m3c8FlN(`&<TCkJ34`
zxolXUY>zB}lV*N)CQM1_fhKov>b~?AQDn{-Psr<v_~CHD?SsR#ign{=a0(mPMhBBh
z3)ie~SyG?B66yIVtp06(Ecf_o#9RYuADiQe)CGGj9M-77|MZY{U26taSVp>@g1LL_
zjDDwvbrPa^C;6ux<4Nz=$Lz;UY^%^fzz1iUX(dpLitFd8=_E08V7~7mefog-p6K@o
z*IJ}LV@THX!%i~04MxZP%E_k`b&CstKc->?fW)V!eY2Z2x{B`;#=qw>{oZp4obIsQ
zZFzIQql&xPnk~OM^b-h8FnXd*TzkTNSjw8+EPrGGR9HJo<$ZHPHOPcdonvM_etsmK
zPj@3X7h4f3f4@erHV1Sg0=Mdm3KhZI@2KEra`JqFFv8@P$+y686pAOq5S`>{*yTrh
z+j;hWtFk}2GaFvm$4B6}^VzrU@oK5*v>OFIO#HtLf3+gTzII?a3$G~9Ljp}?(=P}D
zr_nujx|V8$0x_}n#d+4o1pGaeuS_ifaB_sKEe0|@T&R?_Z0=}3Y>{qe`QEY{u0rt6
z)CpV&=+1%;7<<p3FLmr5o^Zj>T7uzAOh&;i7|-q@6;6qOJnjUov*X0&Cdsc8j!si4
zWWifkl@}P1ufKUYw7_wVWCr!X!)rf97?Gu`MpGc4keXG9kiG{@C$Br6E-N?Jy8?le
zHkr$j<hbR4u}rsq-!;Tpa{YT^*;yuEc8WBn-R6}ItxA-#zA(X$RZB~ck9*pYICpMe
zX?3jXuW{ZU>C3AT<9}4BoS^zrP>(ki!s=5|N%5%;<xMdf=G3tKua5=-bIS0!mi^rq
z<NEinKn6bM1Am>>mM`A~it<%NgqcgXGAw<wNO3RblJ3q8nz0vc6@$yw3jUNIk)ppU
zbq`(c7G$J*jMd%BbyVDp{i>4_<+=*(k+?lFR-HECiZl-Es-Fd|n_W5ZSVm~>VQ@$u
zsSwCHR9abhQu;E0jDN*cm>9*H&O4WBS~up0xk@mYw5*x8tENO8XSgShl2h&_HEFD_
zgS-^ebAgr6d4AM746ozDj(g-KYZ%Nq&{S0{2@^jo;j1Au(Q7_z?;lhZ*C3bZ<2>KM
z&fWi=id1*f6ArEa@#G}G&sq5$%tP6d{Pxb#_D4f)?t@{SFMiIvo?=^pu|?x|o7XG6
z9~WQoc)6wvwZ6AyN{;54`lW2R{%wKX)p<`I$6i3hPGCM75$(8VH99ly4gsX+&-+(b
z+E(3Da0<!J=QNADE>V7?5>TXzr~e`3U20V^)IkpH0vXJqzw33f_QPFu_YmUbZ^zto
z`?}kb&j7eLGi%*c1b@27HH4K>y`Do^f>$LbtdM{x^Xbfud_8OsNySnfuK0P71^0WH
zeK(+g>GnxIwI%<0TT}mqllM-EWv8`Tk#D41Xgz!KSnIE2M`A<atjO9)b=OH7{dyNo
zV!5=RRJV?_uViL4ZLM0Se=xS0xCCBmP)8>oN=~exCKR&$e*8_GMbB%B-1eTw^$Z7l
zR(xc5Nv6Ttj>eU$ceY?Du!y8hXu&WB`qSdTcu;9clO+LT)--U%pW5-3yATU^GwKS*
z`=JDJ;oE{Dqovpv^mF>mr9z!@$~g6tfx)ZI`cPNeF&JlO8>4y&07$zGU#jIStccY7
zO|bXjgFQVo%*kFC4^glpvC+>7V&&_qPN9h34}Zf#rHb(aL>B<HT*%LyT!_NaGZm!H
z9@v^Bz>#wv46fE`1=171eb`#-Nu3Xr9p@P*#`jl8O@CwMfNgEO%Yeo^S<vUs{X55T
z@>b>V3Tg9;V1PH=3^*tn`R!NM@>(+v$+59<qgF{U+?~@aw(+Lf-wo2Zp0UCpjf0x;
zuzZKC-)zl`!=;&5I2=>BZ@S#(Nm9dun$gAFKz#6fYU%xYMo)R(MHvvy0kr@84mwW)
z?mmKL9T2$0ip+0?DH__&T@>k!cC1fNS(Ty`@xLbmSKJRq#N7853_>O2#f3#o%GT@k
z&MvGRB}#^ZLLeu7bF1EvHZj%YY`i2~R}gcG{LS)?V2F}84D+T7&G!ZNBz)OIWaz%}
z#`|sx@ErPH)t({SFQ48=IDVTt64hh>uFziY{>u!J6Rp@>Q^cfgqgod{w#8-YYx5>{
zfxhE(IL`fecVVaXcFx$!1sB5U)<r;Y2kFSk{g4C%O5@7^5)%W%Rp_w8&oO2qDNKzM
zMw?u3D3+~xe;{li#ovSazIg)&BpZ;NSz{<YZ7}fPhBW>-Z#Aw@t#&@5*KaZ<C>$>9
zZKFg@_A?|Gd`<usE~#?+*5NwZ3k2`Xo^%<1<h+9ePH{<zsI>^F&^frNO!ML9sPSyG
zaTRVk@1!W3nW#SqCP>uM+6rE>Z`{}`$_nl>7G_K$^eL)+O<nv&X!VXrb8bv5u<-*V
z&cm9B9d%{kL&H@gY~aekz1Hmy*Thb~V^?cSn4ldvw66ADQGVKdLE<ixCT{JOb6mZa
zTceS+mLbWoqsuR6cG}7ENq`WcCN#@pNj>|k`*U`ZuplK;FY5BOxKM;BQy;Wso_OVx
zeP>6F5MWqS2d9`4TR|L`14hiTNTbp@@5b`eqv1iCmWY<M%*feP&OpNU$h|SC%HC}~
zNc^51myo>Epe~wkR*C(VXG<IfSkwZNX4zM-j=-pY!c&Q~#EO`+c^203<r^u6K}u;t
z*4cmQNUXTN$5&bWUA~ukPvZcPlD!A!W?3l;umb~nMRl33StiB%1CcXd4xA4e@)1rQ
zM5h~jwP%&M6~TSh-GorR)7y|Nan>~KGIe>Gv(-O0^Iu7UNDH}Ur<&wDrwiu&!n$G?
z6x<W=BDD&I8kf$yGBiadE@?HoqEj7H@<z65(pBd}j6xq%KEzgo*uJ_IJhzQO6f0Oj
zGthc|4j6J6nQ}%X2OruWbjh_w8$a42{upKcmCq66Bh+ptsy2hw59m8jO)f7gyX|s$
zl(^VDJv?`LSkt1oPr`Y$t1YQ4hkr?$R3l1mj@Ks1n~y`<(DYV$18_;!qOYpBWl~_n
z7^TUxDk+wBsN<f!v`hVU?h3AKBO(2-kK!0fn%B)o`)QVz@8ky!n=kcdyQ1T;36ZB=
zAOt+6O^hy!+>K>JH{$rerQ_{yo7#wrg3~auVnlMU4<d2K%mnt*S*H;j+olTUZ@$(d
zq!5*9>tph~Sxz>AvW7mMxi_bagzCLYVm4o>Pe`%08I#`p{G?Z9V3wp=*knsjylwkM
zGuG$qa->(4PSI>mT!U;|GjT(Sv;*HV4r$GO&x60o?@y~<gA!XSjr-G8fkm&^n4WMm
z>Dc98BDR6QQCq`Q3ZpDMP4!h!(Sa^u(dl9EEt!;X&Gc4{ibI!W0wdPgV;hbvO}PE1
z5y78%F0hMR58nyr6t!jhL+uPCA=YYklFkb*OkPL4B%^UJFRyC1lhwE<6okM{^ill4
z=Y>u<q2*3gkn+~Q4NNvmW1tCT_ml-|j1cJ?@ZqLb<WQq`tvaz89<GMXd7(wROao$m
z>NZV6U%x(uWHr@bch11E&Ql7*l?nb;69w%Hgxs5vIKs0uYJei9pW)Q6cc)^^oCvi^
zplq_1gijo^>unVBM(VDnc;9%vF+&VJ9Z$61Bx>$X0RX{=tv{9=ZBPGv+n!jltMzND
z;OOQ?`iF17TBmA$qh%{S{n@D#?aCVw-5_GO;z`8B--=T1#S3L|2K2$CNs12L&-yNu
zuEaOPVll>IZs+bH`A#@5em*0g%b7Tw=`NA#WZY-;wGAiZ*)kn7;#s30X^McC^ASx5
zm{&=K-p37mr&TLl2ijKVj*9}Ot}pe`s{=H<p+Tp9h(`U-#NPOzbuKTk&kBDTO<KUf
zDr*^IS|G=k3t;cR!(cf)Jn2;%L9FVqLaPa9{*`^IwXw;z4KrfYeiJbfs-+vV=`to1
zTvyojYHF8{u8rw?oXx}8<<ZUN!IH`FD@ZMV5<`0U3|lI5Z3hub(X8=Ao$kX(%kAmf
z<ILH6tqpd-TWS`=;7HP+$Q5GF+tTHq;$mC9{i`{-Js*zaYoB$xdT^Scs~~F%eGA{K
z`R023u?{fE>$(&d@+Jtg$)bzj+xD_g+OoE3FXnnv*of4a)JNz|&;(#LcFUW1+tV74
z=SvgV<sTf3Fq|ns=(0WBmCobB>~&=)pUKa&_9QPZCx`NqfB>xCf(NB5Qad*jsh%uS
zzwA6=YQMk$o|CJ2xah!f>q2_>*-{H}Pg`Z591oY4ayA`zZf>kEb&xjMP#L*#LD6->
z_1%3yhW1)LF50nBKt8AVV-;T*Ra|H|76W1_-hj|KZn$gX$I?^7-p`F_7vWeKfhj5t
zcpBaS*05jR0Tu{w7hp;IZ;NmocmS41VFfd5HtvVU(4^x>dDn_8(b{}Y9VB%0*j
z+SVI!^nH{Felxnf;t(-$==p6}ID2!p(Y%$doPzICZ-0K7Fg@IU&3HXHH4HL~jSZa{
zra4zw{q_Kn6K`Ad?505ZvlY6p{ujHlD1$hHlxyVk4k0Cp$vG$ikLe79L#E=2v3KNi
z%==zSf`qi=yiw+iN_m5wge3t%SVquY@4;V&LYK(bc=oKLh82{}-C^S>N04QgBZXuY
z)c|d(z)r72n>Nq3ltq?Vfubgze9_{?x6P1Q%IE@nr<>+cia9XB1|L^Mv7K=6%Ho5w
z`TP$(@tN0?@*<`vlMNi7`Uy&nu|s(*408zw>!vV&(0*$R5FnkqXl?YLcw3e}@m*s^
zqX{ySi=?2Tc4G_>EW3ZymW#r%+{A?LKlMN}apS~2Mrx1%G5ZM;vg>9YvcB`B_plx>
zk_Jam)nYKoy1t^AlG|G^Nc~3NrB{{x&{@v0S=qiD(n#xx#!rJ<WqIC+u^(|%{1E#o
z!BlB(U?m-E*<?$KhRm3I-&(F6JYZF(S(_kW330kmeMayxzvC<_UAnh+o~B&lGc*ve
zvYOe9BY!TA{aX7qf^DS0gR{qU-OM36?4YLK`auULkn(c_TLDd>I$Ts1B~^dw*P18o
zcj=;xTF|jYDR<2Rq4WI{{S+GIMY#O-3r9A+HTFGfX~QD{u9{p?Yv|m+$gKW9M4TIh
zxJ*zh9429!l<vh4zlhA6)-eB!MSOW!v&&xA&#mvxbrdn?$Lwv+tzxlHQR>YG6<4DL
z8R<`khuPj?t-Bz9pxt!#-x}dK&K{5EBP&?Q_9}QSVRl4R*6sC)no2$coZ7gJ`=Q*2
znS48%WjpvUtD2u$x`4D~ZPR%hE-=PB>CzkvW-)bU|9fuLub6NX4E!--37*l=$^kNX
zu(7e5fZ4Lza)iJ-H5if9`$OXjgs{PJEjq^UVblF?uL#PXXv`b7Mzk3Ea$)#kDdu4x
ze8vS%YkK)>4OsW&KvS_DatE816mv#zW|xEA?m`T75%MWhA;uT<Vrys|&4}S+)Q78`
z2*r&d?!(RWK-PVTq?rIKica|_T@m%AjUD5kC}Z`%G-^gfeB(h`q`LtQ#Il&BUm~0a
zE>WtTz~o;J!kq>zYQcLgJmc)Bk3Q%`^E1I(M)MJk0JE0Sy%0lc<ij(okP#5=gqQSu
zXZU?(kXU46+7vi~_4M>q3=9N3dyxEJ93ic4CkP<^htnP)(}31L$MIh1A_q-mirxDn
z4}c%W_ydy+J&{VaDh2JU`|8<A9Q+WkNr)$H7o#loH8}|B<Sfk~DsLF+E1?qDs5d)+
zqGo`i+OG=jU@2xjC$IH`d})}(#<E0pPneLt4|ySW(#KfYjdLZTFs`NGWz5K(T))(S
zZf=0{w<6)yMLbQ*a{TS++W`ks*52>8IM_BFxK${2r0<ikwKTn@tj)INMF?ae;+_xE
zTH_BzWjYe$EH!sSwn8ImzRJ^9HViW`SZO-D_EXJO4Pxm6P=qXo2zuta@mIeG6X?z(
z=%FD(4<_E{X=}Y_o6wg{sL=<aY11|CW%hi&oo>5JcEFEfn@VM3a4A2`SlkV(AxPIU
zjBsSs57VZK>iJ1xw<{Par3=YsNX0L319)=y#u2^ml}zn#sRH4~NO-<837r3x(Rc#D
z6h$WWRi|yUY@u+WrzeGnvunp!pa)A##%5E-Q9VJ_sHs74*KJ&t-JbcwlvbrMclz%Q
zasj|(C+5BtMl9Wn9ie0b>vCY-yiF4d<IN&vA`uK96S(XB??Gy|>^)9R06XJe^>(o)
z(`|HEsj`2E0MFQZ$og<mB-Doj#MFI@G2ycMARjlHH!RYv87J}(?cj`VlYxjqQCLEc
zQ9mL>Y5>bPb2#L`KmcWzcYY|PE7}N8#ZNX;k7^E@0scfVjcEs&Ge&J|qj92=^j1Ph
z#Q}$MU8{{rRIhZUMP2A!!Q`hxB{WP*@OfA8Lqn}FR*y3sQboaDR2YF-NS5!}P9o+)
zdhzu?4dvw{xaTS#c>f+n=oSRsH>o%asc+AFg(RE|qo9*?TK2n-KBMJYUv%1Nc#NUY
zRI7^@i;k3f?}ca}ZOgHY44?Yn9DsM-!^Fg|CMJ!5vn<!_rJq~IVM&4E`04XyCD;kD
z%0oxTlzici-~Lp>ZIpK5&8LVyN;Gcp4UTtTzCquQ8S1QKZNb?J6J7RtL`~LLk5pz2
z8xuI^Ufr`seCN+2i8yKZsc&VpY`n=%Ht7o#tWY0EwEctr2mKd!?=qnU*f36hFi+uH
z9EDE6<GZ;qJ<~eBHvPzN0E7GYgw{@eaj<-*EcSgSPuA}##cRiW$u>ot?e%Vkz;~11
zq^9XU)1+^36MF>aIDSANPvd`(cT6!p<W5t^BbSQ{+D`B;#ET@;Es8>)&C*G~Fl~v3
z`d$){+|SqwQ=zm@g=1@tKx>99&HfF4rq@@Fkw76l1;(IoZT28DDbLeUKB?1(+E#Sr
zux5WdjzpKqYI>D$z5}eei82@W_6GhW%0cT4@Wr_J-XZ!Nk<0fd;_`w4zyO2dIFC?b
zFsjHx8PR(=OJZ!xH<e+<KOD|RW)qSknR&3)EJ*|!K3voH8#~$tfk#+a?(6D|?5s==
zepwc5N+S2VIJ>=n4phwjaTiy=F7F$epQZCp=72=WtCmyn{bbh-?_f0LT)@V?#Zk|*
zL4TN6(VxBETGIR1$VBg#TYdOC9{1@$MztBkf>B$!o|?bh%<|&uv?VK+)Hd=SzA`H|
zXG#nr5tl(ejCDD;G_9sC7<1lOvj{P3r><pE%qZ_GjGK;r-I*xU?)fz<^GF<~{QfXu
zf3!EnGW}pS55Kxo$F~N-K~C8qnm|g}8hSK;b2Y0>%vv4xOquN|;+Hkw=_kZ)zl-2k
z`K6j#@Zk8ke|`NUG75^69be`+sO*H_|1v|Yvuep6pPtU9drQNmy0{5Pt!*axxU`Sq
z()P!&1(=^TbgngK<L7L-br@=g+YZo=Ge4~j7u?)851Fvyo&N2DzZt9@`)H-A>jFTA
zY7w;zjyE5r`={KW#t6@rF_+-pc~l#@@6qeK-s;O|s08V_*s@sp5<A>4f2P31XK%bP
zo9fSVKVC4{bwrDN;kEa~)KuU|+PBP{w1;n=Y%4dk^cqC*TWBIVrcv(h#jU6{;3|Lp
zBB&;QE~~9|nGfPjkliY6d?hxcJ@&e7!41ptia2PE=OS)i--w*?vvxRTL47ieu0Jw>
z_2KBEKzggjI_y2{Xm!)Q$%Fd+ch7zvpr4;m*|=CoD-{ZmG(ry;c<tZ?1KS;`CyD?~
zrdgm1nWK9rFe=!&TjCn}9)0j9OA402Rp=X>VPm$1pccy0LNE3bnzm+9ekxi_%<}r%
z>qT$g7D3kCjjYr2w79jvzV;lxUgww01n-(2ON!2hbHp}@W4n1?T?RY}qKADTo!TQ>
z$ol5j4+M6uUU!6?c<=C0Kel(Vy`{^`xugzLtuH*x9&g~2AX0Nsg0L%7)Rmr3a7}0^
z>i$jT|CC^HZEWGocg|?<J!FjXUL0*B>4Y~=;d0tk;!KtP^B3{Jq7Q1`1x;W7dHk`~
zse{7LvpNwe)!9Rjm0N`c=I~aa(6WU>tZ<gYJ=!8|!1jJLYsjKgy%;KsCHH}&|416?
z2;uIJ(65GY`hk~pk60T5A;t5G%ZN3YUUDCP5#(CWnzU0aw~x&h8Mm=aI`mrE0KFQ+
zGZ%}iaUA4t9&NhiV_pNBYktF+`>qghlIF9(SZ)uo_=?mETwv^7&>TL|YAV%FS!K&g
zNaodPe+d{?U;=|B2g~7%B)FAvqju7hGM4Z=*iafPtE@L6rq7ceJDXSMV<7;1Z+3sR
zLB}L;e+(D$WEIUaMA#q6T0p^vYbnEtkwNsqev%t|m42e@wz-uLe`TDKgln_VPp>EP
z*ddPQoW794%dV}w?#SlnZk}DTnxN!K((cVG`_81hA2#=vkYh>79Cn#Vwu}``8Hm1~
za3s@L&!Ze{EJb`psZ~%d5_8S%+MnWblEQB?a_WC66m)}ea^nf;F_>n0?<^s9KZrdS
ztWskZ$|U**CVt@S3b}&P=1%&yft@f<nZu@|u?S@?&Loyh4#GZWNK^{6&=FFDaG<{(
zjRryN?EBd&k9xYq#9GMIMDtVAHUVk%Vec>!ttO{ML3pzMXYvNN#pHIpyi6;7m}eT;
z1zB(ibFmLe=)lr!sAav*<y#@z&x%Y-2sm|t*|e1+FGsHjhPQ|F^UnKK|22((xvZ)`
zXUV!zuKCT}TdyCB0~qj%v^xiHiq7GMYn<Hg*_$Dy+`c`I@VTy$m20U)Ypr6gm%}zq
z2fv1X0DaTn3B;<BPGat^yM~AhR{;rX3u7@ma0E(L(88tjP~CSC@8efUgTzHRKW9!i
zgsaC#t%~B%ib5NWj?g=&_m#%=f0vJ!S@NPSs5W+qdDs}m?jE->fvVDi8xOw9MRbH+
zj#2(tp2Y>V#PuxY7EqLnlbuJ7Fb{fba*^3<Vz~u%f}Sswp1*fK-*=8Z^AWwzD=gd=
zxZ-AWVxA0d^x7-%6sbl_N?_^=2%s%?jbATpp=>H~K&sJwZxHse0hM!eFPhk$w#?T=
z3y)OYqy44_l`D7j<V9GvMB;<R*U}0%w0jRQT{P*m$;BQ$h+P#5&}!Q$@NRStlIP%s
ztiJOW|FFTNfB3Ig(;V^Zsf4)XX(KsBT#*KRy1>>RuPQUWA#SM(fYx@A!`(d5q8H<j
z>(aP>hJ%X1iMUi`GtUAxixW%|v`1H*7^svTRA}?wY2J==-mbw!C{5Zr`s;?36e%L;
zqHnp_1!p5Q^^LYJD-!ClslGuwXl|Nb+#xKuLL5);ezCg4jnD8z1B)!E8mhHp^nGlM
z2Td{%4()I?%1^h`7XWGj`X~el5$k*(a^(gae^T5{%rTn(au88<cNe71-bunS6Vzn4
zLR8l3&FI`r#&p&0wRko-bYFFL)H8S|yTR1&#;6w+Gn^Ln&7H{h<enHIZZKSX<3g-G
zyHiPB6XQ)=ULHI!yyG_*NJ&Af?%PPUBYEn?i%rRjxDabT6__)NEfX7Bw04v4Ps$#O
zGhDIp{t2!a5N%D75C?Cv$7g;|rl+suPF;I%85+PQZi}>jc1-TxMo3fFr)<s8E76CW
zGg19EuC1V{#eu4#B<qdB+;~#ty76CbK(Zd(cy}!vNTrUoqfVS=@YirAMi?=vwDumk
z1jB<~!N_N@4osJ4ClwnHst@rIZ8cBzh19d8#x97L2wO=nTVa$ojFl#l+A?A;DlkwW
zV`^g`YD+#0LMU|kD*e$wGMeQXQ;R$T2FH$`=q$vl@|+v7znVz*sKXP4!(z3+cX780
zmDvqb@}?vbbS#D&{DP5?nyZVWl->z^j8<uf#&}hBqH_q6-kGs@Z*NFdHx_9Xzdy$N
z@%grPL#ayi0pTYxjb;k*H%-J)bzVi8IZ9+wrn<oey|!OGAnm+#)zRG>jQZ8&LdYRF
zM8r(pC2TMmtmZc=_=UQ9^oJ$;1ySj~ElOCmC7ytgif9G}r4B=-!&vDwVF62HUp}Fn
zh)KY@>t9r-c{p+}@K_Zh4fIlM65e2U%#pyng*R|kwi^G@&Zkz+2&XFite;-NzeUZ?
z>fL0^JNSqgmA|MgVAG-acMRbp#BdK+$2(_BZqJ6Q+kK04J7#B-RMQ-Z##{UN+Vz%H
z><UuG%;E6&yr+wF_thJhfw8!Jd5UbZo}*NgooYdK4X3{jX7km3(!OR`j`FZt=q1lB
zNTpYd#=xhyS^jlPV$?~TI36iOQ`0>JR+F+E7-LUQnTBk07hRw!MIeG~lNZ4Q3Hr?j
zp)*}e`15Oh5O3lwRhDL6zURowp?`PD|7tBQ8yIW7VRKprAql8a+&DzN7HALeZ4B~^
zMi;UPKf#bv<zz<JEsq6$hPtXownJT-SSxAlH%9r}V7C?=_dyWC`-6W=QDwZXN;O(w
zJ(|K}?yZp|t>Y0#N91Xg`_uILVZ}3rYY57bd%;)6o_N|l+N+cy`7@_m29P{hm9d3S
z^pYplESEnv3$yaI5OnUFx+QE$q7?VyI&5#MsK=UJbc+3Oq1H-#C?3cQ0D%UFhQ`8W
z%luFgrUKpD&cSy3%Wyz?bc>VPCXv22D|Vc~R#UM#V`9>1AfR5)C!ZG_58C0q+PIBw
zKUt{`=ze>1R}<m16wn9q7dl=H<ID21Nhg1)bgi6!!POE*N_c)Zm!&s7l}2wsH%FQ;
zAWM3qDKbG}{ANHzq3Oauo15SYa;(VB@f;xa_fDkkV$zTzZb8LUi#y5q^=Yq^;5U5A
zg8BJ{Xfy%v^El$*mYPX=w&D01HGsn<GUx@*8Tl=L4HN@`E~{k3MbwGM1g?pmHb|c~
z@;QMJv)i34M3BDcUO^FGFB=K`9-gn;A;-h<ye-Jzvoe^&LawUL8YgvGLtBI84KS0z
z5F;uiJ`(qIC{r8mt%gWNpGc^xMU-^^v8Jc_-9EP(DjS2_UQHu-`zMc^c|7E2=k-gF
z0-he=#J~7N6uG(Kwbt8n-4T{Pgd8#zK4WWTwh&&D%-&2Ck;HB~;Gu9cs5M7Mpa9#Q
zFa&sZ75?XL#_v7h{oWPb_Vuvln3ZtkM#LD>`Iye7(+gns%yzmn9A8>mI(v~5j0rvS
z>+0(Mkf-`NGAXA8*mRWq?$q$!Aw2X5J-`odvz@dC>N&P!S9U(}8hUJDzgS^_aP-X6
z+dwqIP%~&W9LS-0EAi|tSd=VPVZAz9>r5Lu-nizI<E*bCK$xVi09f6e>FH7;QRIr&
zv#g8)m8rfxb~&_7e+4a(SAMD}=~Fj(yVhp?Mv%ji478q^v2>Q9Wr)8M`r?IuQGT7y
zeMDE<ERkx2g%zz{nl|Er&j$CjJ4|^C6-s-To9mN-{P?W<W!c_M8zRReXg>q=bojh=
zLI{tzz%8g2Zp(oyv-uLo-JbKob%^R=ZppFO)Ct+@^}CiQ5?G$v_sfI1&FwTtNp7P4
zupaz(2!EY(qpb#FDPJPtNqjC;^Z~FNz_t-3In(+A-k?-@T|202Xl!J99e3@|0P*_-
zB)&H$4<l<2sDL$Swp=g7D$`@z=bG?+$j14t(+o<Mh*ksp^R-P-`|Z(alQp069?>d%
zeUc6tC^ykv5^hftLDjTXm2gikysVBHHNOvXgyiR&b`TR$#*#xkmsuxilckDSA7Ry}
zx(LCnmHq~2nG7}=_(V^uA4;1^aKk_X{8qay(b7~wfjI!Q!Q&5If_(ZBEf&|t+T>d}
zF9!XpCt;$>uCSO;AvigoQVx4e8Tnx-Z3X>In_GQ8-^=vADViqzqk#`USp`UwE~9lq
zdQ<lZ4f&|0+m$q*ResD27cie|joIJ)C3rIeFJAPQz?W`nzKG3qGR>sHo`W*q<I53x
zNeU;TjlU`q0U`sHp<6~qC7E2O2cdp$uyl;BHXnQ;7S=|lt%Gp$QsA-l>nzVxbRrTw
z|MD!G#rdP5%fFff1EEPw>x)N`6r`I4ADbAW066;3A4bH+_=$q7i{_(LGAO+?pvG0K
zJ+GUpA6c|e;CtlT%(r*rYRx1W_!N5ZLFe6-f3ZPi0;>Q|T)@CASYK>(>^dJZJV`TT
z$|3!4^gBlw{Id(9XwHYW)r})9tWiOry4t~?9JSRhd6JtEGKyTOu0WO)t>vPgiSJ}M
zQz$7n80Vb-F$ohvs)>avI7Q$27xV3`AF;DA%%rTOnE3B$teD!9tPGb`uop&MapyzC
zpsWPnP!bjU`;tbxFBWEK7%zVVC*$1L{8;?DdQ{`{elz!{<_zoik~(XqyOI@-R%ta2
zSxeoNgY!4lEG&h+qs<N(2gBuX;E^$2n@Co>=%l%~a_KYoe<Jl|V{F$p`=+zn7?W@K
zN24jrzD{zCRbzcL?B7p$-G|piWngyyr@?-Cgzm`dUfKeeolws#q9$2GJvgND2Cs|?
zv!i}PV!6?3PWf3gF|LZg*VwdPe^|BLAAL2SNEMaRfmF{>{MuQ!X7KCMF3&}68*4g_
zE$?ZYhyOy>2%Q7&B4x62)>3N9!U+9R893wSjE3QkV>El5u@{3f({1Q6VQJ6XgP*hH
z^j)J)8jMQdu0uL#d~~2}`UZ?r2F}mJfAH*se<97zE7O)17hg65f5He`-!HA~XJ}jw
zSaN7Z?J_>iZ^(MOD5?gw8S+0~OaZCsww!5zB~QtCYcRpu!J$8u!*<=37pS?|6HSkF
zAwR*V8>mpUOTHCi%^y>-H9q%WE`*@p@5mDqhWkFPVGJ{rb$7#b=^0CU<}3}vwK=1D
zHVoTVU0$O#+KD-;`rP|)Zt@KQtWxa`9LTrb1Er&Jqy7w48b}9-fARkm!KWg$)o*}S
z7oCiE(ORN!<p`?2tPl-n8in-tv&v_xev9!n#h=`xUu=Cf-%$HzOrR4{D*EyTM6hDl
z)Zl_8*;XKemanGs+?#K2xTW&5KfYkMKs1(v_$Tyb@AHwS=ck-p6r-DN++h1w$dNAS
zH<0-S<t^*PyS%)d2NJTM4mzJuV)*~PeWBAL`T|netYGA%w{QPPr)fMSR}1410F7d_
z*ZX%KnFMfUzfvRVep#9sns97mX`1+|pmwl7ngSM5qKFH$_A0Iu;aAl!)=W`jT@|F`
z_6LOcmgU{IA>biQw44Gu?o|_7U?va+RB9$|RX$T-yEXQUnnV{}W;09d*|LnNW|RXJ
zHJ#A@7K~;0%TMODJg%4Dt6a3`W-HeMS6Y{(_H;JnyF#{y`#TM45cc!|;n}0qq0JGg
z5A~a%sYsThCZ#Mv;*j^m-QVC5nLYmfsMnH^cmwF~m2!W<`S)!2uQ&ikQM{q5QJVDZ
zUn_TmArlrK@5>i_YXp}BwJ8tPtjRlejb$77$kkas%SL7N*9G1yNUyslAh$|~IfS7{
zrKl;fwn&dH5PteR_(lTyZ^>S!#*C&Wlxal3CO7AX!PS=-X`+Qbo$8Brb;jMULQC~;
zA#B_v#$I|OOxdG1fcFeg!PziGBx(z-?g>S5A*>4P1(>2y?Rih}@S??t2c00HohaF|
zu%+QB<e#VD&*+<F{U1?h85Pz0wrvn8>F!XvyGx`SM7q0U=tf1lq#LBAySux)OS&04
zpFO|-yVm<*e_}DLy_oyH@;uH2FY&0lC27uFTuFfm(_T=SS-ewAilyklqr_9_2Qob#
ztm7w5snE&t%8(&~WkAlIb7bfzkcdvFmcBh6Ga|ijpL<^o<1*%wCXG^a%^`q+7Mb*s
z;cD^KWS7v#bdUG|%I{?yclBnNNNk`kR5iIKeC5Z~hFt_f3jKE|MgRSVe0j4`cJ-VD
zAwsLe`AUuz)+h1|)nOX_2~F6(qZ6ZRzM(5>by1U%qMLGiwoXf`x}975dh|L#&e&Lx
zGDhehVKzdffp^n2K&1}c-Rr?6!Gr}q#saFb+u&L(H9N;t(+zAH<9(s9Z9it<SmaVD
zfgD=(@*1V^y+;Q!lal}S*qcsJ6ef+(eJo6KZf+50kqQGxEY-^gHn5hn7tU~aqDEly
z@bxXT32^iF$<V9HvuQ2E9l$)KJ4L+ekJ*Y*dGnyY=%qC`7hsk?Od2!lE`C2Mey3Ts
z=bn#8==IdS*j53<(os+5;2`W4t7jghGOG|VY>&dmrx~NR9K2-cHr04!9sm$K#~6Dl
z`5UQZ2V`+)eB%I12o4Jp@T)u~tcVtCs{(!DbfFN1T-AMQap)0`=rYyh+Qv=`V|(K9
z*Wy^v@%<6($i)Md9J)*)=z;7^!h-W>x?H*{vX$gq!_337kBdLxNTOL2x%)%Dct8Hc
z7)ke<_%?_Zbipg0L0s4vtQmDw6Ryq1tnkmRTlW(ZlohqW?m6;m0UyI|1rm}rcx8<)
zRqm74WlEIAVWX;0yv{)Nw)Qw3__=01KKZjJ<7jov!`{%h`}ZwI_X1*yJmffIn}v8n
z?7*HC+Z$|KT^$Z;Fh$2;6dWKeQl{mE;I)h@nLN-}e!@c|TiFzN6IM0bA{KZT=1l2@
z(XD@2oo*y1U<w}>Cv$s`wi7dd%8PwSm~Rny*?khr4q4JuIdREhBJQOj^+(9Ci<xo<
zq@2mW0eW_KN?2m9@BI>sJ~ZpMh}xX);5r+?{yYb6b^&)MHi5(Ouox(#e{|8_o}Tvx
zEud~jHlP}93vejeuKF&SHM%XkxJcz{J_UQDD-=p?$cP%Hv+l7RNalhT9a@9MxYHzf
zi8CuV+-TE17s>d7USdoRqELOsc-AxmiH`RSGyU1=NvQrht8Jzh?+#k>xlqAXd2aG%
z+HORxWzVa4sq>OF+T3WbvieeU0*X_6KX`WsA1o+C6*z04b;|@KjI1h?b2!}&=bkVf
zZ5AO@yDY9d)m$}|E+7iRW4X%bZaPiS)Hfhy`b--IBjtUuED(G#9scxNk>P1^CU9fJ
z2`h0{&BWh;ti0(wdeHdaJ5S(q-vLC`w(@e+r@M108yf~|8=H-qQ=5vmAbDzVdk2@u
z%4Ej%yNLcCt5c`B+pc(yjxh!*?q&%l1y-@sPkcG~@23^BGlEr=Jk+ErWb$U>IflK-
z<$O)^ol<IEG9K)*LTQD(*%Ka4GxL&_=lDb0eKVh={hl61ZL>3?RkR-QxeA8qUVl#a
z(Qi!9@{6_{b~&Wo?Y`;n{Ot^jHA^;Ng`JD~x~kmro@bU>RB-}WGU+UbNb#3~?0)oo
zF$3e5^ro22@yNYwv$V8Uo4T{8+$d0kKnSRqTn=u&QhrYd-=+1=k-w4^`BB@^;_SZj
zRiQUvp83bOEz^%v^Hn|+TP1j!&MI}Y&r8e9brH}O!Qq!>+}KHnvn;e)H}J7z1I<jQ
z=c6DSl}(pFo~++>$b9fgvJvFZ+mpfchkK3ESvxPgyi8FjF>OkMRN4FjBPp1D#sc~;
z88efS)d5h2WYr()6O(x*_jvV)+LaV@vXNZG+|GvHff)IAGc=}l<G(b?@>dj~>K_UV
zRzHTS;@W*}@j&$L--&w)Pr3^0a3LG!lnQuc-b)V{CVKtgc;uN(%_v0CWIS6HHVB^v
zPV4`w0vE`b<_MtYX!(Y)AFa|<rxm6ju{PBfwMdOETr`_vTchVaGsX&oYCROw=gYmV
zh+Rq=g9x@=6bt;gi*!sCITb>JXqm{>^>mZC;1#qlKZ}s^H9|)l!Z@LFq%$)xYY7mI
zFsFyf#En$Ch{7;yE{0V2`!Rirp+qG+?jlNy-h4oLLXRvkl$BOnUE+_sRQ5>~2Q4t#
zz8H!XWr%~#aasxV*5;`Ew9r{{N%+cyv}pB}<RYdHm!v{Jao<VxHD#s23~{<Z+w!cB
z)2d+HKbQ;E#+lC;0h*gpDF;ziQ4H={(gB(*KaWAl$QvdcqTnJ{p_5>~M7buRPgEH#
zN8fPZ!7GQQ9zVAzcO{tN*Y@?F22nrjzFQ)~INXd23tE_vqVnQ{Pa3TMC3CK^iEhRU
zpG(;^r}<@zGkn70TcOEKO?X<|H4bWG>viGbLv30w(y-Mj731MDRyp=cmCX*jiu`Hl
zJ5x-oED|>0%-hVDcD=qlUDjm1AaA^!xl7q54VhkyIrw401waF&U!vnmz)u6pE|mHC
z=-#BW1y(SeF<(=o>V0^4LH4{>P#sP<NNX4Kp9_jmD689h?MvGMX2F$J!Azs9xyGlk
z5yzVdD?kM;;<cmjys<*G@nZVkn-n5_hA@$Nb<m^pFYhUIAdk`DVWsw%rst46qYej*
zDov6}*D60_x<>TMn>m;9C1(`bc~8HB6ks^t!p8eIY~_{fV&&9h%Op!27<xb5p7fGb
zRFIwj#>QUffv}Ys3?4rCy@IoL&RWhTRaLQs!6_5zv*s)Hc0euO{xgz@r~CM38w@Py
zYX;~4VP$NNg}EQQw75*$nfNk;LR<A%S?+|Gh^-*iRziGCZ?SV#%r}X9e4rp+X;KNJ
z)Ns~^L;{a(bX3vXeI)yQ(r>frz6f$LL~jtjKyS_+W>x}hP=K#F_PBc9jF#ZrwW8od
zzaP~1CEMO=v$(3OZmVRjGE5GOZ$`JJ);@cxBQf&klYn!Qf=(Lb1t;0iNrBQB>o3d2
z&ZUwMF>^Sqdk2{M)nTN6=Au6rP;o)FD>@$MDjbi?8n%Id9^+Z#PLvN@5)yMG6cZEE
z!P!|*`7vwS7-Y*rMORl)wgN!W!TTPfpV<NG&ols@a3=m^F4U%Yf2TW^Ao+-)Z@Jj2
zvDAy-MNi6~J}4kYy>+^Vh~@6&i?-@x^&JewcQSovKISZ8SU$Z0y^8jzEQeJm_H%h4
z5l@GRK*w=RYY4epT@i@Z`QJmaQgJeBt$v?lurRzGwU)Q1@2RE3Y22ldi;=aMTIUO4
z641W54ie&>=Vz5Y->1e^SKme>YlZ+847@M-1f2{w4g~0E(~TfNYb;Gb&Dwqu$g(*Y
zL($_WY&A{!d}1NeQ><2^D8*}mt+<$<ez$n)$Qr2<WhGp!o70}ULWsYyBN1ftCywu^
zWr*TPeK^HpR`s;zYQ;HBAka;hDAstp;6n?(L1Ji3bMm}Td2s6&yV&1<13V2LM)P9$
zm=S*z@(%T9^T}wlR%p#$XeKY#FUvmOqWmZVmi_&=)Unlvrn7<kgsj5#KvOZ7q^7L|
zq;e=P@21gh0_rqmMaKChGXNrA4NYpf+fIqn8$2-fA&z-}82c4*niK~&tb-hUNrv!y
ze&8IhPAou3e#2q=F4&`DaV>8~207MnMPGU+ix9oc7I|n(qN`crWQ91#oBY_M+X8pu
z0f+0pFV$wNZUxj>L6-G6Lvi4%acq(3Cuq^|e){=3&uACdP}gD1b<aGMZ*T~VOD!`h
zgDM*3XWoRFH$J1Uk~C1~F^^t{v=IKz<`rS_XDQt0DpRci#vyj*uz6y<f%KIki4r=5
zHzR)KJoSh!LL)ccQimZvj7(H7(wyDv^ud{EK<z1R-3X^=n?#yjkR%fumGX$S_&VUA
zXxV}t*Z}}V@d-TB>VjB8xoy;MeK=6K8gOBtdKW1NPlu-|76=!R4j(wA6HS`~j9DFh
zn{8|QPuClF2^+L(WFEEjS%0q#dai!qSd;X`SjZq+@&4teEp&K}GElS^E_xKbQgi61
z{f1KAo?vz6N_Jy37y>K8NfSOH?`$&PbJbMqk>QdH&0(RoGc9Lfbk?dJpY&u@g{&~1
zB9E$<0e!N({&U}8DZK3|=&DYW@5TZtl+Bc+XT`ceZ#&f_6wRSz$c_&hLEXuUMNh1~
ze#lknJ~d{O3XKwnD2Wy9J1q>F+Da@<8qfSiX5a@4WH&Tf9{3J*4J!VOca`zV+vGaE
zgkvt<T8Yt~NQWtG(nwhYig%yMCF^i(aoM6>G%XE1$WVtq@uiaLiwQUU6}#uD*qu%K
zLs{5KJs&Mw!>{7XT%Bthii7;*4z-8}Na+*8GY=glBkaP08P|+U$-iqgUp%*cKc3lL
z_0{-Zy9fSo=ws&H@Xh{yBiTF7-qeJy)u(TQ8rZ&CMj%VlbwWfX6%1L>_eODOf1u_U
z5QrJsRo2&!G8;)W0t$B4p+0dyD&*K(M@ee!kA+r;riQ0P?bBFojynHMz6aT#DiK$y
z8<r~Wa!hN1JXU7YFb}EX_M~TqWCdd^>bcvmz6W8G#-_Y$`Eh8_iod<#Rqferhx_mL
z2{5##`Hyj7c%JEYvNn^+a?5A+m4I1C2nLMD{inDYy$;A!hi&jaCCyCE5cNmpW_a9=
z`7YM(uR7&ET*t!R_ZRO<o7ObGD&1`vTHe0{GDj@vLbVtpR{Toiz7M6ERogD4>VVzF
z$856;!x44C#cCX=%_?Xcdh_krD=k3E(4W&S$;fQotx;$YYRMg#8)M(P?hSQEvJ~){
zUs(3s0zOe~e%m5R7b$u!=mn<j{#q#7nB31ky#-(#!9%WYY;j_~>42;=DmN1~1!(3r
zFJW9J+s}4(ALp6UqDENKp@F@B9`wHUfDDhr$N-O>46z;jo5k&{h0;!@@I8v(^2Tdz
zcYjz&HBy}e5hG_LK^pi3>D%^h7(#j7GP*iTL7gVq1_l%aIlkE15@%<M=5zIblm7|}
zz~tyb4?IYWJ=n#G=INZ8al^mJ<Xp<%+<Z74wi6FNRKVgI?WLXPj+1^tG!HS?=)bST
znFov~MC4xVh)X9NSm@C^nD(%ryO34<Qvt)seZJ_u26r03P<8+_XAQY<%NFtX%><>n
z-9pMWA~0ngoH)*S^};vmy_!zZRH=rldEuh1_cY|h2Ydpyn>eF>JzaQB7zs`{lL!s5
z{wu7R6}xV~h4%N;S?JBm%uvkHF-t~Cw@oPkA=P8w7&%VYO_^*97qI4*<0%WMezUbe
z40o{t_PyTPUS&(uS3^n*ww_qpg1j5fz8n2I@=CWx4Z*eG+e6*QM~A0VR~&G?=8y@>
znmVTp`qc1aXc_tB+}JUFj#{~?q|bSO-t3*wB!$zxpq)50(%ej=wzwN%dfV(cuA$2f
zVT`r8@xU0{3W@jk+i3N$sw?oOn{Cwxx_LM2fu}t;XQ)4Ejrl~mdjfs0)h8RPKNaee
zM-F68UT;XSQi}`zI2OkgHYWMNnVYL3u+$hCyEq9^X(fS%TSCWP+(Ki|jF$f(?BaRp
zrspB2Yfls%+fPlaIjg?)GZ$pnS3CbUxsja(WBD$Xb$6hQYUnzA<RhV82tTb}6^<Mi
zy9=ozgd<SPT52(~>0Rwy?WVmR#YCOPN8IUt43J#-!hk-(wQmTn6W#tE4dtJYmZZl|
zw9jHCF6N7vu4tq0#e*JU^j2lxT7Ai??`bD8y_9XTe`1UpW0HM!ty*ulgW5tcabZ)+
zh+~4<R$2LRJj|Lu=7Yho?^LgwNZX#ZF25C~_D@mW%O`IP|GP(P<``o;dF4tkj5sRO
zKIc2^X=kkPX+j+h#XB4SZ>@@`3@EW9vc6AtpH$fe-?{o48KqsEkHN&7j9<C$H^6gj
z3#FQKp3}y)CkluwXoV&?NfE_4*dr;AAJ>P3s-$bRfkIC>E0V?T*jsk^X(Ck&w25;m
zTZ$U(bcz(@Z`n^c8d8jx$>_0`wG>=@<!oL20_X9+P9eW~FJS=<NaYO{AofdIPF7~S
z^JE_L{(f5tq?)NLb|Kxvn==N;YkRorJ4iFklI%%cRhA;_2Yf%JwCi)3NIjx6Cv0_B
zXTOu_dGn>KBi-IyZ_oJqy$`r_PTH;j#P0xE2p1neWINj5i^%_ZW(5kWVj)UyVYC}|
zU+K$C-dEkmKZtlt>AxIaI!4gLC>;+xSoGKYuqQg2$fgkgk=eb!n3NI;Yr@%GT%QXi
zdiCkhHJ1`K>V|X-MP3e-{Qum#wUGFAka1Xy_X3SjWp#D#M@8V`!gshP>2$UmxOx-r
z$b;5Uo9N2f=9j-oG%4u7^cQgD``U!OyyLsb?twqyX7}ak^O2C35C=r3?@!iDh{rWY
zk!#fmZc4f=Bx&gvU<9&f4txl8jn@?+IL_lBh6(aW<E9ujq=F6uXF!+TGRgDbqWYYV
zDoyQ$+TD)n#dqk4t&RtdTcWmx7VgOLg*ZB--BZUr_U3g|PQlwtJ;4`&g;|7<>{*en
zAGoAA35`6mYKfsHU4=H*ZMk;<^SwSa|9i2<wI0><aX6s$SLXHTJh*runAR$uu|BWL
zbTXs)S#4;|T(U5xu`2kJcpp1Qc^Nh67q3E#(AI<l-cp{^0&<;OSeF&10j`eb?hVY=
z^z*GmpEym@AvoAL{u|RpJ;2Wxp#S9-E;t61*~luxFs<@D-<K3~kWtK~+Wmc~b2vz(
zC#yWDJfUd0<<gJcV~i5$;+i!-dRrtPi1kJM1iL8(0EBHzWpj$ik(f-(QI_KV8&~Jb
zygXd4vv-;iVgqtE!1fVbmDMKxnMf^K3yj{w3#WR*tSJ@Y?{c{bV*${xQ~vc>69{0e
zrW(X+B)2SCsHX}?SXG_N5v5%iEa<`o_x%(i5o$bjN25rW7vqlD?@2dG8e$xpemL#E
zo9g|DcQBnERj9>xqrDtF)#?fBs*yDN`{Qw*TVk@uSAvC$ED46*pX#^daX#<yPuXb{
zM^Y2ip3T%e%$9lK3o~sJV^;EgdNl0!cX+Qq+G%6T^KarD{&?mG(dXtW5mO+Qe9ofH
z6L#WeQ&;sT)**Y||Nm?5yfHkbw;S(je(agTRHWJ)VHtka&8<T(v*;&`Ek6wSq&l)`
zeoTKZMn9fpQtQw|s=XhX|A|ERZaS~CB>Px>KI@w+NnPoYS411@@SU{NJxiHuhX)yc
zH6tEiYh~i^*!zM^M?DlbV=kE@^|OygBQUz!XSnNrwKYdLi56;7&qe6L!z{e7Jrbl{
z$PqZ(AX>bh<;q_8$KC1_aJwE!QtCSb7Z^&a!iGIF<420c-;2`+m}J0s*eG#idYGWW
zElV7^q?aY7e_+8`#r<tA`?+0maGE13J)pm}cdNH1s~N|yg`{Jx8RhNvHt5;nj6aNp
z5H|qb=_55#Jd4GTta2&tft9J3{*ro_?|ss~Gz46NvDkE{&clD*ppweXxh_4A%*#dl
z+`?$mNj(iSN-=!`<QRW1VA2dwaD*qc;4D$@e^L}Xmz`Yp7M)VbUeke5csPwI?t}Th
z@kNFtTFOnHzGh~1Hs()S{_w|U2~aStFf-6Kj0rQpc*&noJZLo<^%w2fP1FIz>=(dD
zgd82A^U%e3t2^*-G2yhNyNin<P*4Nbv$Twiy$Krnp@ys>b}RMSZEYkSfQA`#e__;m
zza3tzUDC}LdJ1#8D9oBySfg2;yj9Z4Rp(q)TMJz`{t1vOU2Z*sW2T%eqXR388eq}L
zmIB6nPjjyYxgpezr5g<sEng<~CgL*>Ya!B&Mt5Cf6`*bC@t^75A+X48^r8b_`C9hz
zFk=cKU8Dj!i8&*RPqmn}tsS|Bkil_9ZJ#1xJg1J~yF!c3#kGxhB@2#VS(PFkeK!T!
z6D>ezczsDgxnHY4?YyYAhXqm_0MqfdcJ3D(?R#PZuo?gJB!H|%i5%*jYBC0qy<P-E
zl>0DH9w$`;P*6Zc$|C%<G_eiwEC7B8zv^{dW<pX9U}U3xvzbp;)?iD_4s<5rG!W+#
zSo$T*A}uelxA*!z@0DkKOu10>E?MiZ8@8(w*F0+W?~@1W-G(Wj7ZQ@X?72;(r0|5n
zg;E#_g=$q0li)iP2y`iej1$Gf`3cn8<V$NY$d9baTSu6bB|?Hkt&v;RjG%fXcX?TY
zOOY{_(<bt3EEwR->3CN)G+D&2zd13Ml=V53cc2385Ce~G8A1R1!DJF(v89!5&lAkz
z{~)*O|Mqf!=H3xr;s0{nQx9s=y`OJrhb@^46F6&x!87n-6Mh&{+D_E57qzgU0m^jL
zXCPF3MJoH*&B{x9+~a@dL+}=w1P#T-EMi}p7QUOHko=FKyUw)+r1wG$X{=l#)T7q!
z6eYHKG=VEex!=OKIMXgmjw^aR>*l2Qo$i-sCU%B0o|IJ1fwX%c6M{2wG&ef#aszbO
znMu?NHjF*Hc;mf4o9h13U1nFcB9Jv(GD9S~FduD&)_)W>oDCH86b22s_l&08zb?zg
zjO|`biHLkZ&Cmmo2Y*<9u<a3EgC|7DbQ<g>fZ>lC8g8T{@SXZjC6~AffDYb6UEkj3
zw6+rG=jQ{B2fv9I8hS;`A>q0$bK>FI-8bPeC3QF<M3p2{PGtY3>ew~)z_@E(sV{j*
zS^uzZ=(0Jj5}UVON|9uH4fLAyw0>$)H_B6l2Y=GqCR1>q;bP>J3Ut$<a5)3jPkb>5
zpR{-XRk}kg-$QYHr15YFds#Ob|9p!X?V;GRlXq^gyOy-E9*6DvCX9ucl{?Dw4}WGw
zhf?oFDr|k+p#vi=b%Qki`YO<T8oy1LHFTLuLN4+vO{A7XdS>Cce#fMu5>{DFb!QY2
z;l82SE~WfsVz*fpP|<&$alMu>S)5uAw74Vdb{;^Zcq(5DH#d1S3;k#vH6>&o1(P(9
z{_|YF1(&-9QD>RoaV3jPN-!gca%-Z8cIbW6+0xQT?U?YTm(v<=oHAmf&3DU|eyY3Y
z7`B1FW9+g#a>3Ktrsw2*A$gr~#>K`P0w~IGI$F{ImFYxh9gcDu9`io8=X&=1gBsK9
z`&Q?*#+tO+-(5r3J}u4SZFmg}p-EG`i|~DH+qV|{BBhityWFnhe)i|o>j2VI0L}ad
zjm{_mJl5i4C(nQK`+)z(L=H9c9s;A1{g-2tx_QA?ZLIgb#9u18<Z5noWD#9i%G7jW
zd}G(sNbnTv?fdeLKgrLO-&G6#Ivhfwl0g4cmE5>4Kr!C(P8T~s7#~}tgs#xUH5P}y
zAq|E+3L~v#>$gj%E>hNBrs?!MV-r}_#X9JQzZ`NMY5B>DBH|C}T{L5Xu^D>8?}Ih-
z0*_}D5DU_nF+8`m1S%B1tXL)SZrPlps)%Vpm$zC{Gbif?KW@KUWHJYqDgJSyv~|(C
zk)HQD>!5De`40RxzIq~VP>=It<GozMW8p<>FsQ|@k|)%7IlQw(4c9h>sgWO{vV6An
z<6AOJvo&JA3ad+$FGW=*mxNv}b2$e+X+t@3D0oHfZjla|M=s!R*PENuxg%Q~cwsLe
z5M0S1{kx<UVgRgmt#F;4>_Oav%-{R_v#06i@%~yQS_#oLZ$x}8WlOBk;QNVP@=f|6
zqpSa!dm+Wb<+5o<+vByohbbT0u)dI@<K-*a?!s;q!t@m9nZZjiVg^sd1IqzG4Ea8>
z?`_bhy=u?Xs?TzJM%89*Wkm;YY=3rb;!76&alFl;A?Q=OZ41mg@kVNbCi(zq>R9b?
z=Vy70yj0kjGq@3L3YAE&q$3BaN?PD2NCkcsqLBgmW|As{q`5Ey{{uqC(y}k~X?+@`
z-f$Bq0xpCTkmjB3f4C58+^D<v7d`vyooHF!Fi^@{;LT=$o-{S<#hHL>bo#TX(RPc|
zvN`Hi8o6bq`Lg@0$K&?mV_scMlh1};102tIN+5tePkMcIM<`UK@udUA{@jqPm`g#7
z6<?ej{j;cOmv=qN`*#3Q$C1C!;T=cHsFq%&n&_5`F>6XMi@R+X@ciI1{Iz1;SLa+{
za#Kq^O3TnU+z(f3ZQYADUn)VK(wo^%D(HT~N-E+3Rdq7iPz{0aotNvulnnh+7(2aR
z^^N`*6l1UlvFKO_WI;f-Up0jju}Q<y7Le6?jmpT@d0xMBM8#2MtWE(z!OTTamuB)I
zZY;2fk!N<UkL#Ci_~R>`@qZULr%k#)4K5!DL~-Sv7WvL_-f<^n@DB%joIBzH=@GER
zsRZpv`T%&k9yGs;fIHhKz)YSjwZLd^H07ZK1sR!~G&&bRQI(33xYzc6Fmj%hQzTbF
zlv2<6PB|T+KW@oh6)||HuzP@s)?d_t-f;h2n!@S|vy3V~v>_yXsR(5Ae(95OLE2v$
zP^9q(Hl@g(Y)K<BQW#)u-<=cblriFX^of}@oHM_jQRUH|c{zT=ekA0&NzTXnYGur-
z`d5k>UY)8E>iC3%l2h#Schx<LROv3O@yb_X(<e7ZHTv3-1J3c1Ftoh}9o4`uEigva
zIW?)4&n3g+0^vUprVw_Z&6|v|>D&pjf}mpWPq$7R-S1GL#JsLXa25KSAL)`+b)&+q
zk1AX1N#ClBQ2;^?kQD&-4G?s~^X80)--Z#?cM0P-tz-t0!Ya8F+AR*hv=*=4AUd)d
zXPIeFM|x5ye2!~^!hpi((c)1$VWoCl!jZhJch!O7X<YULiLR3%XSX4zkf~NZ5>D1C
z*~^F8z#<VTG@*f_FQE++ziEvxVS%e|_DvbfyMGDYiu-bPCx4cVjKyjggYo#DD?a1N
zDS~dOY@NJHsHr9_VT}P-%TM`_A2Z(qu!oEW6#)8sa*K$6=*jJIh!m#lO|yXn2UL3V
zrps*xIcV+}D0&lY57BB@4e>=wG=_LZGtF_Yc7Ole$b%=BQ)<F}(*&%1XM7`^HiXD)
zvHtFlo{etC9&BJpV%38PTR0CvAB3Ld@4_z$yfleRMan+s%(E9a#w=wWuEi_iQ$Dup
z%kzEzA%~Hdq_!r136kSA`4SJUnOyw2VTP;bF67%uZB|BbrFn=+yzxFIYwA*M20fJ5
z?_QP$hd$s5G>1-CXDH7QvO5U=amB97TZD?IP(I*Zt{osv4_nyxp=KzgL0jiCG??^D
z`S0-_^n^1mH^#WQaUl}i^R{mG97md&S$M$u>~mFslZ+zt{wXHhC23`q&uI6_>Q6+r
zh0JfC@xHGl52>5D-TF8^dTS34MP7A3GH+|K1#iaRl}b)1H^nV6$)*b1XN^+j`PFz-
z{9<>BN<VAoq12|tTalUXvbuUfyyQ#SA$olg<p`JAd&QSgYh{Ekb4C7?;Enb$@*biY
z+;Cg5^8gkV9q-oMDX>3mMG2gJ*3-+FECA-{kWtj-h`}o+kalIgoLGRf>=rAbp;-N2
zeSnqt2%+sI##bLp9>@dLiBV&`_K&X7XBeBYsQBlSr8s3ux5V3vT;A6sjsFBeNRT8j
zeJ!MLrqSV;`5Cmr4E24^vbQ-!waRVTl(D$z*O29Ba$qh;>SdWup{9&a207-1!Z&n+
zZ_i)|V)>%P;N=5k-lD9d6FxjF3j`q-H@BR8v%d(*<;M^j`9+bEFMY>b51I%B?&f+t
zAL$CQ0qh|!v+{V}gckI39HemFz-#~Y`O^<m?vgx1;D?38|CR9#zvnpx+r33dH-x^e
zy6=nlVZ>Yy_5}mijaxdd_x96S3mSNDtmm%d&G%Q2QEhGQKfDF33$M0&h&Q4C^MJpg
z)rK?dZWJpqX^wtf-}A#Mp@y<$no;}}Yl*Gq4yF(-pF~@~lrN?8cD_>0tF`VY-@pLX
zQWl2%uzfwNtjX~{SyvwI&~{fwh1oMl^*kpKeN2*y<$SOO;wgIsmT%SFXFqRph9i_0
z>TMlYQ|SQ@S{3G64*n49o{}1eF;0Zja;D`}AnW=|z)hO;El05XaVM+Hl?;7Zh%hq^
z@bxKV+y3SSm8_>&`*f=EC_zV`z#d(IA6fak|D&&F9ww+hp04Y_T~B<YI`qVo_!!Ml
z_E34(tDOEfLuSp-w=ZU{apHmdY^GXN&iY%#=p}xIt=B0PT6x*d!vYn=XZU}P8E5`7
zVHm%29Img?i&wZ#SGsEoP~%g2kO*sO%Q{dC{i-;HIYIYLiRRp<pkw3(B-_-G5SwV4
zEnUM=@b}|Jut8d_P7a9O)FV*;&?_~i^!o_P2{ee23+V>KHV4ch8^NJpq;IjHm&nNL
zop5%c3k1z|8e@<Oi?K<qzPjEjr&fGCqNT-ggl=}a%Irg2(G!)gNK#wvB)=IWwhaRQ
z&r&bGw4KOOuhy;K9vOAivGn+<p|8br8i=RJrGJY)j?n(YbX`L?0yhWRxc9nwncmai
z2N{Z6(o8-r)q_6ABO$15YXy3Uapk^~>Kk5w)5po2%5+ZX`y!xf@cT8!=q^AsT?qwO
zJ+dWQ?Nl)wtCmgFhNR+sMUvbdd~PdE*y7_DY8sB#`cDeE@h)PMWbe_KO{fCAq)&JD
ze&(z-b!F1BpYX4Vonb1&nnVR<O!WT|WcH&%Wn;(bREC|Tzq98G^%Y>`^c!MagGnH*
zV&^Z+1i${Y0_m2?SM-COQ<}$%_NhwQn{{Msn`2#sG!jY29UM@mYw}aXCI9`PT}ygy
zWGCsEr4~Xv?{>gp7<XRCk7^X@(A!1+aQcDK#g0E0yTPE?(4cpj#Q0nk{?qPYFZFAZ
zK;bUznkDBp(Z)R-#DSm{ppz}u+YvoJ29+`aZk3gWUGE?(-ZVI#KsCY(zUZ$qAN@<)
z_k8r>WT~)K8X^xC`mY)~+m5VPA7y45c%J@Xd#>gg1h~)7T>bQWr&x#uOh=f?+isU<
zJT)QW!4UX{^Dc`drmi|?i~qb;0@(r~!+>!i!CHT`*NtwfM*AaVz!Ak!al5wt4?`=D
zJRC_Vu}Ua!*~@3;(nnvTL%{q!T#b8mUW1}mM_Ur7A1(NAjz^$sULN*xh<YDG$3Eqe
zQhpq*&Xb9_f69(M)-tT~bxA+N4=do{!e8c_X=4=bI6pr5xR*>uX@Jhh(O>%LrbY}<
z6(<~$v_j3X6Cc!(TdVUXD5tGn7h5<xUbbQ*d(Pf$9iuKB6glWQvGmIMC}iIe+KRL3
z9v2i}IZ#t0o)$9#syb14(BMj}aot^lnz#`^X7+JA3*B_?wXmdt=|ayqezevheDS*2
zN5C*S-9V4x+s0nJ8PuRwkw~PP7nf$Q+bv+rhA6o;LuE}`@yC8JQa%umJ_h{Zk}*g;
zTl!-ITnH*oQTEd$qnhDOJw_eFz~5CTvqy16p#egZ>=B#^CKdh2%$a_PM`986)_8tS
z8AfL3c(quw7c>08Roq1S8L7h>N0O3*Oxy~r3T+27(8%066B{A&*cY;4oPCqs(j(Tw
zfz)2n;d{w~e+;zg;L22JiZoOFv9y`Fn=@e}9x+5`4z_4{FkCKAfNJ|wz!wf7NxolG
z19{)7xp31KTt#dK=*|>D>s-A{%j19d21A`wJ`NmAD@szG#r@qo(cGMy6`BTN$uoBr
z?;P6~O*cpO58|6%d#2T{^DlPj{4H+(5t(!by3{k2u9C@|x`dS#AXnZCJYJ_7{)hbR
z#mXmMF6+|3c2m=rF*X!suktSCrm}8aex>RPqqqfTkkwUuyr(={@`*SS^;5!#v6TV}
zvVM$TR(N;?GcFo1zMkreG{0Q0(F!iicJ|_jx|X2plqFjePy`Pqbb0U8DzznD)t)s<
zS?<>r1g%-vs{~InchjzzOS(76aGpB}WKc{P@a6j+a5V3u^-C9P_gh{*^FsZ)i-Glv
z&9FrZgB55pogbxN!&?#$C7)O;^pcJu8V!*#cVEuhI8&O&=i(J#2!fJR<ZIio8Ya(I
zdZs_42LmVTzSHuIKwK@x{Xa4o5Vt;jAVV*kf;w7#y+jogHPUrl)}M4gTMdP9wvyRQ
z;D8E7o_Z$aEk){T23T3+rMS55QrDEH9{tNi)K&#C3^Mo+hMnHx(b58|9!C(@Dgk)r
zDf5mvYU@wF0rmxW;dm_lKtsibnAZ_%$`ZS|ykp-V_`4R&q`np*LH;+e90PoqkUbKN
z|Ao-Y!OLvHouK}u9pX?xzdMlZzuOAr=+A2#FC<W#z?z3(dE@p6UB8E2NcRomOmKE)
z4{5hSY;ZSkye@ah-tYk`MeeniTep?0iBcZ_+c{WH8VqvXwa;d1;1VFscfc#e0|Yp5
zGkF%N2GWE{Fh(jf!V^-2S9Tw(^(w_?L5?MXTKdz<p7J@&Rt9<O9c_bh`%^L0BMAw@
zQ`WZ55w?c5aQyZ*vd_2i$BOc!NW;`x;*1xQpwrTh5bC1=eSAuyh7SUVkzq_K*?I{=
z$s6klf7s}2CWRS%p8|cgr%eMfhho|l;(oPwW4f$~ar1Y`>B0xPu?$e}H#B7yPJKK=
zYDo^Vhz%B&OAL>G&gK=eN#U&dXOw88K1KDOfX9&&`!ju9Uo0J0Wp8k~X#Yp+;8S_$
z(XtxTma_E7{_Yt`GINq`z*bJaW|Zm|_hn;y8+Ij~!Xs5Vle=qVsa`DyAWdHoG#22P
zX-?ZV_8<CE;BUHb6B*8e@yyLyBRs9ILNPHg;m_N(42=F^I1bmDm*pl*J%no_t3vmC
z2Ugu9mfAT(Pfr2>PJgYpb{|rzA)zOXKV^REyC}Z`KC_+F+pq;aEG3mKVqmF67;4nK
zb1+j)z2fIeGC}Ed0Jep;dig_Q#{oL$2xrBvti%(iC{~6UI9ukCgjN(B`*GM<nmwb*
z_NM<9qxJ}~2m$`MXK~=sS;p0(kuxP)u0=CKexKWZbbahMF4G<|Ft{`02emaA*cNi=
zIr5Ek-Sgdq@$1AZ`x5xFN}tO1wn{t4X09&EG&_q0CLbd%P|G*#sY*|ez#nKzsxNd}
z;;ayGFjg38yN-$P{04<PcPIl8fYP0?zT+mA<)G5Uo~vQ6=L7OGj%J0?8^KXR-VCE<
zr;<i)2~C9`)+~|Ej1-xwbt1_dq!BZ93R+sIMi?fp9Cn^IzcNvp<}nv6lUgjFSB$s8
zy~keym+;|Lw`->UWrH^pZM5hH(*NZNI_7yP>E5A++?3slA7~{HIr&2^5*7Gl>2#yy
z^?H5q<rm@^`4Ejt1T0^q+-B%h-sDRN`8P#6oeQ00P}nGb%t*Qaa0cn#UPk*P>n&XF
zviK8-Ja3_a{TsB)H0!K^iFz*C3oRt}mg=?OZamI6R019ADpWb3b5J2J=MROFANW6G
z%X=tDfBEM-D3^XQpj{iit}MF6*puwvcL6AOx(!+Xb)bkqr$li(tP4I*ygj2ukqU*i
zoHg5&_5hl(dxp#LEpE+GYWX52g8y9*Pyh8Lu%QfX{E1GeIb=`Irig$mUjiQtAicc2
z3~QE@HKfcQ0K1FWp?@-V6)k7{nvA%DSA!Jy3;r()Rj8*CV$P)q0Wvu=wmca5y$)E1
zfbzfi4@m^Z3)LxJQPmuC&iCtr5YkUG_WH*(0xS$Q+N^S~Ds_t0(TkkY3!Fzah^HTt
zEBd$ItCU)w)V{^UYZ{i)$N=S92wb5w)=rgyRwG46n=q%G<-T#fjrR^`;_4$Z6aXbl
zczIu37SQub0;S#@I@~TGbM2yN1^@j^oFxb7-N5v=+^LU+v)@x7dBy;8nq`}c16Atu
z`1?qa!WNj$IpIgH!^26zqX`;W@@+2h)1!zf*X?-D(8H{^JFJScE~XK@&Enmfiym)-
zA12DJ8oW$tHD#-(+xHymxH)q!WFQ?bD93AbJtlP-kh2a8)FAc@_%~?k2h!bCI#wCR
zxrWWJsqM!QVH(vjJJGO@x&tOSSu{ww)y^$^a^I@i=!|YDWhA9=(hyBzZZTdM)W{XL
z#)ZuZdJoEAr4G{B?JvETq`7V^BBx(7x!Dke6My<<NSs6~F=_QX)<~-hD7p#3n@`_x
zhBLFX(!|%_Lw4ZSMO?yRn?r|Wzl@TGuh`*)Vrz@3r<y8~GktZxVby`MmXS0RWL(br
zsZzvOx3Y<ARld56WF;xe%|TT2=WhwSqYYQPp{YbMN23Hm?#{93l(|Aks8$_;Y`%dt
zUtp%{w8^w-e^(w1+{BYlk?G6f^ga04>Z1BJkEJBy)Kn+G&@z(C6cGGBRow&IqKOA6
z5$jn-CfGPMmiEEc=O+8*GyLiCwhF4Swqu(k4e?0@@TVT8=c2kAB6vKrV|^27Z9w6v
z-OIJndnHj4IKE(lwI9wdNw?qRR;SY{0;h`IveawabK;U=TFf`0Me}g*x(_%F9+-IA
z$ID1+;F4i33(fKa$?kTZg`?sRX%;m0M{lZJA2MmcDgch%Wg>~)e^vDMt}EWsUHu&B
z4lKx<5d5~Cy7$O1m`&d}lMhvQn9+;(w@01dZwSvLZe15<wH09QgZ;jP=%qh$%4s29
z?e^nLM1^gy<BvdwB5%fa-?fJz;La|c-%GS$Tm=lFa`N+GA<>gN$_<4)W5{?aA{8*S
z1r9OePe^Wy4Yhd_g=^UygtHqb<p4DAaE*ZGT}g2<I%;r?*@g=@7Z)@XaC8}KPft$7
z0o$iJO&n}$gk|raf0@D2?)Z?8#(*T+e;nTlRpC>6%l+qi4}1#U*-W9*z<Qf^6(Gt3
zuxa8;jX=z;vRmPP24ph~nI7ASi>GdRGghm9Pp80oWX*)2T%d<wl!k#X4lr%#tG8RJ
zbUg;Fvr$!A&sxEXK2HG3z9bq$aiy{{2QcRu=bc*g-u|REY)@^ym?N7rGnhaW{R<!V
z*Oa#hl?)WE`=mwdhn*WLoj|uc*DSzM^O)wbPB$=S<}m3#YQF)kKh&+qiW_S3-={}6
zi|MS5`XRFp0#X9a_>J~Kny<eetFZ%S#A~Z|5LK9!_sQwK<037Mg$QCYdrIm$&_5FL
zM>_=R<>m2k(0d16{uGjo@#;Ig2d{~f*p7#MyC07b=@8Q6#~t__b(ZvQ<bu=tb1My8
ziB{cLZa1w$X`Jo3hK3Vc(H)$=WL@p=JwiE@o$01Hw_+|GyC<L4A~lQ}Si`s~PEeo-
z&`truCOf;mB#~0(PPO%AIckh#GCgJ3-<kkRuT+I%TKfWju(Q*3SjW*WF}BUJ*yX<y
zWB>F_vZ8HJ`2N|6naj7G!C9u)`(VOQS?l3S`Wxub<}>_EZL)H#3IG#syn87@WdWrm
zAcU5P4@;@BtMuTh=6fWdPhHOepY0e03=7W5;1mLW$V^>-874xed;Hl$K2?1~TZYv7
zsZpJ=+*?w8D`P?yE|k5Z=EM4zz{_8a^PpzFLT4f(nQ_BG8L&Xb(fAtqzjlF;FE$rd
zpo{SR-jcRs*xLC+a}YDf?Q|*trf*g#ePkMZ_qBHH4jM`fgQ3{k3`{H_(zM)uW{z{P
zREhscg{aS_hh`LrAV<ix-tmJk_c~;52SpN>jLf+xOrT<Y!i0;eDK4}zk(X}lOGpvk
zb!lUL%Bq;n&~2AnX-NuP^w1ASZp1=0U56Pybwpt)kawGL%jei_=W6;B61ECpci_?C
zdaCi)j7!GqR~&cdwtp+!xwLG5-QccP&aZ*<=gtmK17&%os!t}by886xlk1v8zQrFb
zm#l%BZC`9@RX+_gB-AJO7Oe<Zso%!M?o%)G8Q23QlahCyy1B<^+@U7d@_0*E%=Ea2
zN5rjYSqYD43B`?flm{E6Xpv%+CQ{S_mnDtS4+N0977#iq2|t*=IzZHCK*YP4mSf3o
zZYCT_WD-+T!+}U&fj*SaWw-(HaiuUTx83qDz)Oo55~eQ>a-;X~v;Ynofl`OyKUJ^Y
zVGb5Pbzlyh{9l~zMigADCIgyl3$tSo2pYB`5oBpPh{(P(!+kw;SoZ3#jiqI$@7)@F
z^guvYmneh|j*pN39dN@IdEF7&HX(aj)C|7C%l`8R3ZRztivVKeO+c571?b8lijpnH
z{+L8z(`r7(R8<}?6Nqoa9rXVUa5^8O#DG^Tp)ZJVrv;i|C?<-ayQh~%@VJ1|<CE)x
zUN8=W`euqnrl^h%5ikK^ZoB>}pUP>Ktlv+Dr{{tJ2QMKz#nXNn2?~=G-5M2@a!2P%
zfc;+@;z9QRUJsZP2NdBKJj^EPeAq{Yyjz>Hre+9)F1JI_{S-80O4v4K5Q-!hwN-Ts
zzItQ6i4k5j#&*rEJ2Uk2ej{H>01+WV(YpN}XH3Z-(cAd|7*@&C<eEuafM+`ev)7Q7
zH2efoDI!Z&7_Aiw*ke@41zOvBy8c?$;94YNIs4>QkPe14W3BTn_$MVx*x;g;KkV^4
zLs^>5TV@j<f=o}nqY!<XUY~9TXP@12>ogW=Qgf^RH4{=$Mpg-pEl)K%0fF4ITKSDc
z%ir(mL!l*B^+%b3U0hovy@5bCHSTFK5Xr(i<zZ5_QE(+%^0D5sN$*~OU1L!*fx
zt(&s{>UbYv9yl)j$#C+Z9hqwqe~D^^+c_5LBDtVhZuUWf=)iA;_b_!x-IDm$FN{UY
zny4ycobw+wu2Qx5DvgCv^CNy_M`_RAn|XBHA27VQ0GAZmT2fH@VwUYh;(3}@8$q@4
z#w~e`BUstLeaF~>PJ~SEh=O5_G}JhZ>oj|(*(>kWNB(V)rOXAj+#Y1F!rPF21&0VD
z+9?e#_+b@;VgB&l)?HonM!}_khg*`8L4Z4&sF5kv$6mK^bz=U9@#Tn)7*3lh0bIZ}
z^hP4mD}m;T{6bkvuk2el@`TIYs;oj(!b(tvsnEbm)#XgMxI)Xv@u<F=e{NPxRcv~!
z4Lv(1`w68>_ZE`e%(1w-yarDQ>TXb-0}&f!S2w10@QvmA4A?sy#3pr)$#84L1y6$s
zF^rldrFs!o4Q0m2se$9}4wXoF2?{^wEPoBr&J`N1;Wg3jpN51i&?V-urKx{u!fud;
z5ic>yETM9)tv7S}T6%J}qkRTr#5TcHtHKmQMfFb*MEeQ13yFiML5?2vUqb_&b-pGQ
zQJecm9ZF|Pu4c56WFajbc^~yt>Z7#d@g`<nN&m1jv^1HBvTlii4>flYhvm%KYl*CE
z?BQkK#6;)874*W%8-6s4(wAD8(rGk)>j2F3Zhl_f#U(;_R94c$qHx-Zj#i!=&>QGO
zb>fsHpaNdn|IyZgIL|xpP6|1~%|}}Q)!RrA*%zQ=)vPuhdb01ZU1I0t=8gh#chRkg
z&euIs$oWk%5LwTLaA;uvm*EenmbCzzq4VmBWdB_pNQy{(F9DBnnI(P&EN+T{YqBnR
z--4JY(yJA-?P$fYvk4toJM>Nw5CC5!hO3oT?Ng6DWy>U^dFz@FA@<W0OLW(4X#tp$
z8gFk)-sh}*#SAZRWk<y31vD0sPEn>GV+RRr9ifmH5hAqGU~Mm!ZQgJ%ycVeOy*rL8
z`{CaAGcNw3+D~Wt3>`lsojX+I&0ko&LB@2$*N`_w8^I~M4;B<$RoQ3;vWRB2oA!MV
zrbFz+z+<pkRz{u%L49VZuv&W?m!j|Xm1jvQmC<zLuN3)yIJIf8;_r81=?2Y=27W~v
zzAyqSN(R>T)O14fDPjsrvGYaeBe}J{czCM%>q(EZw7IR3u)?x1cpPenD_8G_63v_G
zUc@^KWJBi*rJ2?Gu9ViM%Is%+HXeOEi^HQbs#=D$xOhI(y|ypPcBM@F0RYm<THW%~
ztAoUG^dlSDKQvZkl;K)OSTv_J7Mckd&CQlXF#Y!9zRUsUfcGy6lx~|#>*CHe>NG~S
z|Agk(HY!<}tKE~_*CmQ#!O7a0`hgVebqtk;p&rwvjNq7mCALkeM<H^2t_3*mw?zZ3
z<6p=7Mv5xvvZ(BIBH)JR2EMXXS^JvIT{8%p5sJ(Ke?fU>>#%LMzCljtJXW6iJml+2
zl~eey*i-AhpFbM(>{vL*VOwFh(8cypyn|B4IysZ|e#zvFRYSdae{CzUM0B&;p{uh!
z@~p^XE-_};WtM^egTujBm1R1+^llEu1gXmAPk4E@;7cl3VA>~7i)s6w!gVP-5H)zu
z$yJUlzSdF~)xPO1S=VVz7K~Ho%wx5Af2&1#A5yu|_{)c9p!`#o#aHKJziql1?4}ke
zg&!r)=I3u1orX@X8ToB9Vu{}PD;m@d@ADRY7md>#tGx>g1NxH{I@~^`4&|_9be3)t
zF4`Tv%$qu!F>|pvm4FLn`fAa50xiw_<d(UaLHkAFG&s{&X%yBLZHzad?0|Wjgg;5V
zmd}l~>vk~#Wa=``jT2ASR-Q@xuYyeMSrlsC-$pDl(lSx*pPM_b9ibd;FZ+F(gcK&;
zb=7(aQ>7?W&0~!wrEMR1>h}G+_R-%+RvxIHSFpRNFFQ<sxW^F~THdV6H)^=c%Jj@*
zJ;Cgw!bDtj2fRm7DC1<VZ*J(`5WA)KYSa`Q`A+|qBp8Bzk`wEiu9G9=W^rY^#W%l9
z0**=H<jDLzN3;%BR*+32Svhwwp&go5s|OpW!pi=eK9Es}F6QWg!wsI_Nk~XMyd51M
z!|O|<2eGlVrh&7wd{gfyVMTd823tkZQBl?{wb1ltD*xCXDZ5Lcqw)s44nF{?K^H(8
z$$!?N#O#7J`}~sF6tKDs(E$+VJNcR3DIh{PtW9+SQP#xg?P+7;ZEay8`0>$;_mlwp
z!DH4nHb;AxlbF<uJyng$K(|@AB{^?g$E3J7L#pLp^(C7=m&EAwS+h@50edn_1J#^m
zN}yXTrz@ol?zx$hdm7bnUhvSrHvWV%On1_RRvx)!&4%*fp=QkM6?h}ro*t@Gs7fvw
zldjy<y8^YtYeZOVP@I&7K?3E&6x%DxFuP5hDck0B$yo#;;*B`9zk~7AQd#wjm$!TS
zvrM{RlGHsn-Ay;#O$CS8bY3JKSB_;_K)riva8z_nLD^`MK`*jdiYZIo=^815>)f!q
zDZ3W2>!RlBU10+hRJky9sQI*ePx<iQN9rlf#uh6Bomq7#9mNS&I(KCuVRl9*0g>LE
zIm*a?R}Ktt;hm%eC9+L|r!9#JX03@K<;;Y+onHKjI|)Y*Lr?p5`OXyTW%D~b+ec=Y
z&&kasg2q0}QoihVwF>zLf2%ucqwQh3hFr$zY`+c6IZie@r3JY9^QV+%$h|4(kx=*}
zMVj3qFY|2i-?UY^o4h^A;*$)v8W}#O@mNwpTk^N)U&oZm?p*Etq6bt`85_ELr^-yM
z+OTGPY^g)91xZED2+T9wDT2%M%VqN>SMK@5#$n$x9%UC|Y)NjUqP36MmKwCgRF3K#
z-&6`c-+Pb6Vk$8h-W_g#?y&3ZDwx)#c1S39*5Wq^l5pV>vUYKcjFw0(Pmyf%V$sOk
z7d4+?K>X`#sQwOnYPIu3<ut}CWG^SAx_TlOr8DoiW`6iKJ30!wMp>`FCGxSD;2Vod
zxo|Ayho!dOm_FyRtSzY;rM@CH=Sx4HF_kc(TK@n<>x$LFW$dQD>V75P$UG*DOM)^L
z!rXfNF*DCRx6c{D@X5VG)+zgL`HVXaCIp4_dgta~CFYc9v)Lxm9|3#Imy8)LZgP8t
z?TnFfsanR3@`9Vyn)ExSR#jD}NIH3YG1uixMS|~I65MWeCowcQxaOV?H2)Fg{A^iL
zYE|MYN5{<lye)iyb^uY?K)Pjp@Hml@pr_LYw8m1aRL7RJd!WPCy72;W-EailjLyJU
zzzKxWSeDXd#?xh9=){3FdOtN!+MWFP@)kyg(48GPN(3jlhti#`$Vwu`nARPU6ZC@t
zsT;v!l5BDyiX<FMNs#UB4sfVN3GVsv0N%fAi6}pYw6;e9tE1fn4dd<J(3kl&)qm#H
z2=Ga}BWaGeS~V(KS|PV?mr@^oR$4$#`7a?O69XD^>;+_96?949h=2D3esz18p<?u{
z?3f=Iu|c|bsJF%MMe!wDua@_D_fPnE_e=R2{V!X@)<{IrB@x&i(BB&=c~qFdm?zB|
zDNcDXqS+C8K#SsM6JJyoq6uC=36f3#@Au6kcW`+qZjPwXDMKW0*0nkwS<p^Q?n}ZV
z4&P7~rrCM|VZ$=%U8*ygT$SEUp9k^3V}z<&<y8w*C>-XiZ=h)TM1pV&k9xWh>?LW^
z3^TvesQA>QNN+1$!W$a9V$y|&{50^cmHm}QA>&O!<pwv^kTb{9Ou?)-3p<s8@UYY&
zP2)fdO^MeC3^!p1PtOc^HxRZY-Ya8N?#(*nYk{7@ZT(l4!Dnr*QIYjzdW|EJ^L%U)
zEnKAPfo<P?{rje~vWF`oxLraf78Hh&>!rbCtfGSYq%tc}Zkx@)TpFPG@g=Lr_xy9s
zDW~(b*f0CaWm>ql@1Sv>k<Ni#pP!j4@wV^cZxS1o1c6P@oY?N9_)Y4!#*~Lf%@6o%
z#wKC&zu}7wksj*U_3O~;-`hFVM)i-(WOL(}W!nvVXbyi2e_K!dV<(F@$*xs+w6N#r
zcqY(5W7*nm^6f2|V)$!86}H9d2pZJTr^l5Q(G`oEh?<jd*(D6sJByrO{i8T}8|g-M
z`i&l%ee5`>@7Ns{k-lJj@3U1A99VU*RfA*QXc`inOdZ(<n;y>8BF3X)vxUE<J(Z;i
z{5@G4^NW~q)c|uil#j*6#&{mu35}xJ0Y1!}riy#{6My}T+SB`|`%<iI==tj-Z3W~T
z`U)ph=PzCJnXFbG7kR;;t(6ij=2t;sC?ylzhSl^%&7AZ;cxkPp%bRK!XTf=>KkFj3
zy#L41RfaX$w&4K+A|)cyprlB5hae)-E#1xNZlpv?x<RD7n=wL|ba#wyMl)c*zP;a%
z=g*Gq*t0!%oY!@qammy%1Ki^#^j1WpiIh^P2(-z$OQvQ!DK9Yu#WN|`7)D68aOSSm
z<IO7x6EP=K$IfTELUavXxQuJ^f9%R8y_nJLI&D&0$-PVAlU#YJy{BS`vqV68nHhhn
zAr@ZRk85;L9MB>B)osx=O(dw?y6jgQvV*l~Y}EVb7T#ryN}~fY+=#SxL1l%P0KhF!
zvuB$bD*r+7c9sn9LASf7^J>M70ASwPs3b;00hIta+w!GiDH!j0mD*;uMdrmT;3yPX
z6{YzgbRz73#TDOIiK+{&6Yf7$-F_))X(3%?GgQQ*_v#)n<97G(*g>wIc=nybPa8Ym
z#&|A?NZXVW)3(2Tj))tfeD-mHWVG&O;%6+m)G~=H{bHl<(-m>(0EejN^}MvFJymxV
zq30uPBIwZrtJz3IZWHons`t2KDp^Jh>~DVPNT<(bElS{*^YmEV0qZsNT1`PBP*eKv
zW`8uH+4wV4@7m31pwQ(^MkyPo)O_<qH}3QAZ)42<LldD2=7reAFNQqt;U*uxBLpQw
zY$Ce4MfjNG*o1L-f5vsk7srJ{c6*z@32KKK{f%6$>1p)0UDGIENf9dAWKcYdmkF&w
zQ(g^0e!CXGDi*~yYNfSX;THn$D%hOy|DK?cn);H@G8e(z42okEH$K+LLX*SUP0I~C
zkabhrDF2Rzp>NK93*OzUt9QDVfTwKL`J5w_z?7JAbPw=*=vLC23cN#!T406i&QY`d
z=)9#^?)<B0QLV#IU~iv(VDx!cnNaib%%jn~v!yESL{0l)`A1v1X}%RNXh7)H+?PMy
zG?2qDT2H4gXukBx+*%pd_zK3|(-iKISxs|_q;&V?FX&S=8qk^fdr#__VRMZgHL;XW
zlu7G+-m{t??E8|@|5hjQ?Ov&WjjiJ`Dq-u>NIPHyeGAt((QnIPkjazXXSbWuEYi8=
zIGjd$j1H$k{5q0-OJ1wz%|XhbbHKfW)ojIbjicX>GYKq>Y%-R)1C^o`dgwxsTX_kj
z!zU$|0me(M8<Q^o>Kd6cxIyw%hmuF4Ch~lNtZ3~{R^f6-&X?uw^to*E4SS{<V?3?$
zZ=idCw0em}9sYP==L_o`0o)Q}F4FjiknOvOXa;|nax`C}>5}d}Vf3fLo~g170z1wl
z?VVo+H#r^}i{yom2QW28ueuLQ1lF_)_*P2q2BsRwD+wcH?O@NR+x^)aLF5X?)NG6y
z(bw@MVHm*-4VX5%dY{L?IRI!l>`R~yiksDUvt7lDP!>rANb^);+-SkqEw6QZ4Mcat
z(5Lc)H|A|&Eb5*WDZyI@$$a(&<Qam;%z=d6)0Hl|qLS9^7r_1FC2fT{j%n9+TSb9t
z7vTn3Bga%87XPr-=&HmMj?}T}B5q#0{SbxaiNc$Zn&^@b4f@5kin%EKomvXFluaC)
z!51AwWTXro|3P$Gf!<ss+bSmJ0ySIuv?1TK&g<9;T_!5$&{DCK7bPm(bDBcPIz08+
zv22?qTf-zPhayREBxtQUim+#Z@wHdBm6e6l7~S#DyPQ@*hdq0+-#`_eDUh3wGk)=#
zoFAC{m<um$Kj!n|M51i7zif`isa)9G{v;__(+I`22ZwV?+n*Z@AN{Z-PA5%|sF~rE
z4!0Kx1fPF=mVF3{8`s6nkZs^shTIbIZ#nzUve-nm{N`W#j%AD?5H>uKFvDF{DsJp#
zOIWml87$2l+m=^E-F&3`T6B1$zU@449@{2XZlhk<MRCyJVL8U$<#ZtO+!x|kt81~P
zoHIONYhkzytc@fY?<>>V+l-!g<v)jb<31YE7Ls&UGu;)B5P(K1ZS2{`u-~X~G{Ecm
z{_QyO2P~DPr1jN3QfO{}`Mr{Y0I_IS&Qw^d-{KhgCYTyJSr5f)d>H$bP#^||y^`bO
z%uulqJ(DfPIIkpyq@v}=PzES^o;F)1zn-Q~`4}K&{Qq(z)b<+l<eg|Lb+zEq0E#FL
z`~DWsUP2#)uiMvM=QglO)G2<3jw)fM{*OXH8#{B1w|ae1LJjxNA3Ps<JE|xZBb|pY
zf*{S_tgjYV=*NeFr&|MqX(p!q=wg!(=)M|Neyfp|J(jmHYp87Rm-Ufy-pTc4<ct%m
zG;1wgBRXKBWtI8K>`1@Wek|Tud9=(Mv;_h=y2)5D26i2G{IEReo4c$!-MS%f*-~gS
z?yZ><L($T)iw6v&lUSAiBKajFqmMXOYMMP&O*sDw&ysGYH19bFp7e)K?S8TNZ)riX
z2^izc-ae0{IaxK0siIzp3>*gMMo*9DVgMF8%P^o_n=07t_PsA%4hAosFLhLgkf5_v
z$+sw`H8|M$-`h*9k1uZ`lqLlVWAS!LR48g4g@|Q^8r+=gg09&5dVgY;UTdCAWBBqd
z2X)u?{0)wRS#UDl!cQ=z{9Konk*VCg--z@=cq_)jG`#3789eK@b6p10htF(J)hqF9
zXj?C6Tuo1OCUYJ7AmX(DFz!v>J(WH7<&&3k;_V`L6DXGp${8{h%!}{kd$UK%JFfng
z<KJC$oDg5^Bvs6@T<aw<tZpQ{#a9qIu;UyYZ3`=0$TzC=)wTGi!8*S?oR##NeVU?a
zYK&o<H(>P6bwPE<g42C;EX}9!);I0&G2@U<{?1y&aD`5nAAKiMt^FTq!;f2#tybzz
ztp?KQg&HlvCI9ZQ!FK`xyRFt{14fNuN*&N@a;v2Ez^bPO4X~o9hxD|t>sm=ye_SKI
zJutibkkq8&-oko~>ZnYiLSeD*F6QvA{XFx1L!he4>VLa<mh!^&-Rf&ej2-&OnU&;x
z@<~?>h0BssnFhak`ptOs71NW&Y<R)DLcZ`txrboD=AIikVk?79XyQcNm<9xsd$wH6
z^zAu~0=LaOZ*O0bMMPD`7X}tr(-bgWl6Ys?2F=8ALfVW)@HDJu%%+m<gmOF$?ysTw
zAogb}xPvYAY<gm8yBJafGC`t=4BU-Qk`J66?kLT;2vIDh=-G+FleM3$NIcM1tG9%^
zDBYe{m#5438Z(`{j)Ip-JHPN>B!V`8mQd^-t+KU4i!wOXbaDwYC2X^>-)^FS)|4W9
zJ1h<j8@7e~3GyMc7uboz4Q%%s(<(}MvU(E*?W=sgOizLUafo@2YrSW=*evl94{edq
z!(P5o7%Vvj_NvgkWQ#e`Dd!5}WTIJQWG0`=*k3)_lznoc9Yqy~NG=2&7r!U<`d*^)
ze8q^+Y=gc2M>mXEIq!H~qimNl-Zal;_E%F(nUNOK?vnNMdal~o=_}dtl}*o*rt~cq
zt+=z0T!Srh#Y?jzuAX2^wUwsQ9keiG^YmgUUg;%USN0V1k$6c%)~xy5AFSDdk{I@Q
zRN%}NTe%p(rpO_y^5WuYU2TIn)n<;(wL|yQa)qVla+(?Ax~1XjX>nd0PJ@_~WUXI<
zRn#9Rp21G>Ps`iG<?~Np*kgUzqy=Lnz?7qPMl(Lc6KU=RoClwUcBBU;h`y=?nUT-l
zeA_9yGt1x=L@HXyh{{s#StQ$Rxp#Up+B{Jx?cHl{{_L6f^Su830l(4gA9BSywoh!7
z#Ca;B9?UO}CA@(&RJuHrZqe53TQElF<*9vzic3@4EQOoeFS}yuqJV`AxFSl301?mn
zTW`V=b26t@;U3_NHYywa?Q_X^U)$FGzfF3s9!Vmw!6inrkegdib)h6Du%_N3T95kA
z-R`z@y`|&Ni6+}bFd8J8CZ4wDmfyEUlD_qt@8_|LKaq9~<CcHhC71nSy0Ns{U0TE;
zH^r}vcobF}Vs)wsE4CGKL(HGACVVM8Kg_B)+mQU{WvrzibM&<1AcaBWw@du+6w)$*
zDlM-i#c2f}kB1Q}HMYF=E<HMN-{+5dQ`rqMIBV0AQ%KgQ6!z$8pvWs4=-rY_x<J>f
zBMMQh>Q2IkOF>dPd%WrvL}m>YZj1f=seeoJ)p~ePWzYR?53Se7m(MmPHXCw33wemz
ziFZ6buNQU5#JASW`5E_#SwNNo8|;P{WHj%J=$Bg!htfXr8gSnX-!^)&Jk{^igw6$q
zSD?!!Q$?uwN{&iqpRyB-hSbF0eK2zLBLS5K5XM;VEE9Kqhl@z|EuHO#u*SP?qZz&o
z`)D~>&(4L1AxFz=x<1tLyG8W-QP+j&!}=U}YqBJDJtHk`s|4&%!6|voqAVIjQ+}j?
z<!C|bf3+s!e|Od4d?NVtW8PR__zc}|(5tKAWra?Q$;nc42rFTCS~Ze*3{fJv*$f2<
zJr~yywo}H4%bX4di?<*Xw7s~xs$UyRco5J8S`GegVnJc&=N+4OyOyYYpuKtO=K0}3
zx8tJH%el?`0XY+sTg-O>MJHM-T^Hap<ecP>A`ol7OsF9xRZoM4*QOtFjm*%OEhi<F
zV>i*gxorF_tG)(y#GdJ1wz>-*MJK;^={XXsYBXWwzpWJ&9E39ReS^x6e93Dy(j7z2
zTkE_b{csj3`FE;F0ozgPWf;*%IUTaC0WCZO7t$+C^M!hsJ;8d~&bk)>E-U{#W$+2k
zM%S~=x<_O?h}CMm91_K>*nb*`y#L)eKi70r`2rC=TD&#jloJC6*S;P-2~EQ~EoLR%
zJW&xaS<K9Nbo^c`iCQcyT!$Z_{S^bybF=B74Z@m7o6-(?Dyd!0?1(h&2P#g^Hj@9Y
zq+%_?&WXVKMlam@;t=y;?3;YIu`&s2W}WO{NLFs|#l#+VsTV@d{trGY3O9M~K~T;%
zlHEYJt>VG?Q?CvRK7X&x7PYOi0jGH+O^>^C-V%#j>Skp*@7dpG<^;a`@u3DmZwE&M
zi5q{h*$0Ytb;MlF<iN+lP#RSCWt4w@y$(Wy0btZSLfHVHkBOeH>wxb`{+}1T=64!C
zzIRkprlzDb6i*@PW6?`~5zb#cQxl<-Ak{VU$jj(Bi}5%laKXY^N;mk=8dNUVXU{Cj
z4)1-vq%}U>{!*MuiJk85gw&Kj<!=<pwv)Z-(~bJB7H2K|w8Xc?%eBivX~UC3VRkN&
z&WBiK8VleQQL;BIatT$uD3v&VrZV1~l~#7y8QW;I%f9z?PVb+UY`NRsvOBDnB&Mk*
zbKMikvrW46cS&@v0&8tOAm<?eHOJgdD#PHkhF$!X{`jCjauv%5cIO*+R;pf5{8i+Q
z@y(>KFZ1Ni_B60c$Zzen_W<?;<<FjFX-E-!hJHydKVUk{n*T2QmB#zg-xUg=v$T;B
zlsAL^^SIBx!GaJtk}kLeINV+qB-**7n@632j_tmSzZbY)DH9NR;7CtsTFxMt+FreJ
zf27iP$;kmJt}+b9A``$LtY10*cLJQ#G#69S^A=E0Y898wTunfLQyFUnRj5g;wBRKb
zX*VVGpMj@BMc_b~>HD(|XQ&&k`34cO+tCk7=TEM~85B7PF{LaIkl5_<pq%nR<sg6S
zc5#0x$M_v8x<|y!Qh+fpu4Fklz%OqF#6&l8@lWH#!mu2y(P9z#iU8kYtv1po^H3B%
zEtD?NF0r8Ro6@iP$;i1NxJXFp`czk2y+YT&-z1gXPl=ze20I`2{ONXh@8yZYHt3k6
z1i!@4{n>7w2!=VcR_}>hzK0vL5sF0Qz40VyO2*XqVwSU}P*$OV=TdK8xwKmtDng{O
z8`JZbyvezps`VmSbYk+=v&2;3=5o&xuc#*OSaP_V^H9H>+1P`8X(gwuF;@itaLZ;7
z6cn+`zT!2uIa{k~W96i32xRzq(f%qsa7SL~euZ9@x0))#^mknyZaiBcp+cHN1iStD
zcV^E=fW>FFk3$0!GIcGL0Jx-!I69-m1LTk2`I_6Y>>J#FrQtSRQRu^Weg5apLM9DI
zw~q~irXzp9KHN#>^%DoJ<rWpyksleyZH(FfN%t9|%6_~q$d^l+=vZjhk7J3=saWI@
zA>fb3UL9O}Cn{pAoLKb_DB~v<R`=xUO=Y{_fstut=1Me*?`=R2NH_8p=`so;GO`OG
z4O+Yq30`r@t1sMk<#qB-2!-9P%JVxWrW9^S(H*J!?@qtalBGt*!fONz2E;_@Cek@M
z2?N81Dc+c7*F1}=6rt6p&A(HrOWM`-AH&^7B})i<676DHZGq=F2NKst0R}>1Qf@O%
zlV2^#X|je!UGt52b`7p9eJ2tg@RA;BZh;i#hHWPw+}hMmuM3!G3r65*-NXwX60_WE
zM%jh|MA_|eu?a1zyCaz794=S@K&CdHA!X<m2Bk^xO{|ir9irJXC0)(DQ~V1>$Ka}n
z^nd-D2-EfNxE$SCPF*<De5e4o*d!GRau1KTw-_kvxIWa&QK_kK#P0VC_V@R@S!+7!
z)C?nkoGN#sGiz;Mm^wxCZ^iLTQf<=UVE?2zmH(#tSn&W=(BqI6y6*qo`1mlzFSJ)%
zCIp|+y&Wc|J@xYQ?1;k!`%vj+wb#KeH?C7|9^7{S)Yre1yqzqNSxs40e|5H*MM@ir
zgo97t3Otwa0XPdEw?17EpYLDh<ySRuB7-@eBSJ?gKVwIId*vk2pm^6(e*ek<?nG*`
z7)g1yO=~R2hDtqSR)Sn3uay+V?dV`nHy}h~wQXd4-<=LsWEJJoWMdr$aq&Ds=LEoi
zr(J{V@rR2y{LXTrvktd^2UF;@{_ge!+7(U7iJ)~@tc7z+@8<alb=`-$oo@{1Z8d>|
z@UjdcENL9w)W}oHR>a=;`gQ*)N)unx>iN#V5z<Wp|9;779DH%u%@K5DchFB6AMjk?
zmV4~!eloOuZMCk_nsux^C)R8aMw^XhqC9DOdlRN`t_F8q={Tqho#^Q4E88==_jaIR
zsK?NRMMfWXMPOPouTNGHZh@**u#8LuUyCZJ!O91~%7_zXup#%&3qZGIz>SLEtW{J4
zo<s+&WJchgGB`*5&N3TyiM8KRxHAgE%nl|8(SoFc_VXjp1}L4nH=O^!MLZqkJ>j%h
z2Y%+k!$4k2B15wr+i{#a&#|5^(!lFKS*wL642kdaIjIMbjsdSH*+8*wHp)~QzI4?#
zLT|Pnwayl@_rEr6t&X*vDeq+=I;&lE_}?VwMsRmUm0re#%Xn>CS5(U>_(P$ADQyGm
zVHXN&8@XZVasXTUDB!tv=fXW*YGmrETgTQ5@ORhog!e9^Ve@LSv-xRfzDHxENdf&;
zelF89&>knwUbp2Z>Z3kHP{EuD<h&_JF2oI8+Y1`Y`5l>stP*T{k>~lq`gJwZ)L~=2
zxZc}()CyJCm=n@Uz9-y=BAzmA(lx__I_?9>7B{xYS=pSo^wVhLBcJZkr1Lj&1dj8%
zT<G+cWW0B)dXlaU1AEkJ7v06Kwx3STKQ4rz#vCWe(A2<dtftOGM)c)aS%=ZXuwU!>
zSj|=pt8zCz_(8H!_U4HKImw#0#TxlYxjD(eq36E&TkN;wU5TIz<eKnZ(%3Eu;Iy-r
zD#-ihvp;Y$s`U~Q1U(W+1A|_qsoYzCk}_V(3$UktI-6*5+2Ln~!7+UM{=UfeJ14q5
z%7gZ#Ky_P<fhWI9|3)f+y*@lWm9#kb$6Dik%?j-qW;b3xZWk7+@P$iUMLn^6<9q7(
zMzR!aT%(Ui%=Fr4o-2Q1L(W()wy?S{qCg=Yg~k4`PvXr>kR^>*iV&k9Y%Hl>UJoU8
z4f=v)(_}O-zQ?)%4`3u7{=y66jdmagXJc0|eggg%az8lHdR1In9bLMg%S6IRli~K+
zmR}M_PhzfM-G|0!gI7-wIJrF48TM5qZ6H}@@y36xS$G#5WH>kJLH++AAw{N8N~caD
zLh-AKcRmH9WFm86U#h2OzN&9V*lF#a)F+M5r{?26CNSzJ`zlBs^f&io+|^GPcSS@y
zIMD<5e^~K&o5(1aix&woqm^IJY;NAO)-rXzaPsU7{v;6B_p@Z9K7y4S<czoGg!C!`
z5z4%NTRBHvSRZZS$>}-rDRj@7N+*yh(+p^%(D-{z^o_2JTv;@S`f%uBY_ssk<pk5I
zLTVQ3p%wgK?ckLB`Ilo?-T7@?Mb2oB+5Yso_D|GCjyjxFG?b5{8nsFnrA`nC3Hx^q
z_;3C$g015nXIt{*g@XM-RH}u_pRE+jU2l1bnbE^VwhMZ&c*yjJnh`Jy_1>{mNC^?O
zF8|5!62sua*jdsHvL_ewE2xHKk0$*C?wcOV@uFgz@z?pi0}R0D^u)%YmAUB7+=nM>
zg`?T<Hc^EDLkil8M#GUQpan>Aj!ehWEJxflhE@Y>RC8zN=HJcvSY|Nl*v6&l7ktTm
zrwd@<e^)28_r0(7HfZgy9BVULf1vCuAfxWry-?mSdr_f9Zrm+i{Py#|JZ!$CP6h7q
zh)z4om-I1Q`p*5G)uD=a7K+=Wd3qUlVr$u0iH4udF|zuZr^cel*IW@{Gt#=UN;8_1
zcXQ%eT`4D5FC-X2P>ercZ--RJoXOoNgc7i_LdcmFA@HE9_gCK4c|L=kp%yzg&rZg@
zGukD^4I9^Nil}Fc!ds75=+C0Tppe{NHURaYl%qeD3r2Nqej#wW-pUA8W2r=Tj1ezB
z<{(mW%l*P#(M?*Y@t03uZUG7Q@5S`laD{ZgzK(BZqKY?FRpysi@pdGkN%GCOi)lkl
z{FtTM|6p2!n#vcB=+Dc}`R=F4uYf9G9436^*(krz)=%OI=f4(>0l)S7e-$6K_P|Je
ze^gf`c)$4pgsxF19%^EJDb|t~{aqY4T}s&A&s66N#9ntr;{YVA1k_kw3pgxJgxtIA
zh|1Tay+7D{eIN>8R}Cw!#qoZD#>6Qo&}=q1%<4SZ#N4N`{#k5j_q_p0uLGuDO8-*I
z$fM^f;dl==XLa|`yd-v416K?3R>IPD%KK+yP8<o70&)(V6A3(8KD(D$rk&s=f7@p0
zE15bv?$FkiDUijpYn9Sp-#uq(Z{^uEMOTzt5r4mjHw~I!$o+m>)r`-jNDR?Z{OI=w
zJF{4iuONcha_p6X;0A(A$;9@|JX@O|1MpILXDnmD2KOFCkLvUrqvle=pAWb}q5(E_
z+to;fYzWl0o!761lF$H2FI+wAc*~Wg*@#1<-mV?`;{zsg*}DI@L^~TSy0rS-jh^ug
z=R=jvshr){FCthsra%i+hT*AyiQc=v-bhcpE4`Un=Zp=K(eK523pa3<zVk=ji~jA_
z0QQ-(4hJS{ODt?3zS6yMtM@oRk>T+1{p^qMok;pYwiwp$o>!Kxdp6+>&%n7}*lQ>L
zv~WjXK*K|!_VH-#YsbOyZu*5r#%QidCo@yVmr6BKTz6;#ts${>*^D<m1+c!uF8)@Z
z#na1SD#NKS2pkTFXhAc5F}PDe#!BG0{3>Tp^EX_H149DCON`(4s#O_B8v308?$G<a
zDc&z91yd$MF5R>fX`IFcS)&p5)ooVY?ehk1_>Nt7R&4ss$5LJj3kuQ)F9YxUtM<S0
zfWO|78+=2EQyICw=-O{1%y%Dl)LY=Eh5N@5N<6&VTx6)G@WML;nZrA3D(+KFwV*tj
zLI+G|E^ypdt6p)T;$!sAl`c1l1Mv;cSV?JP5ij1mjYjZ^m!z;|HP#5LF!rg}6Q^=%
ztH0_}<55v5OFJ5^2NEBWVl4a~2*Wq7wCx$hEq<%I|FO~w$}n4!BT5=wEr~xa-t{bg
z1&sXpy{E9bnQSjxoD`+yK6=kyAYU+T8#!8CP+tFX(&mNjC$H(Do{c40X48IBB^!If
zKXx5>pi(YDd3N^m0=m~Sa`TQ%mmTY(q$6^2T;EmZoMb%Yt4Hg5SHk#I_hq$o-!1vx
zduCGN_DcQh+?XivMtHEy@LtUihoGWJ%!eaxLRev#j60ZL{w98bMf#q#@>-iNbz=D=
z3XxJf5>}#hJU&Jk%8&Q{EB<3S3y>HCY&;CC_C%r>`0Q`-$%bK(9T?B;aT{Wa;EsPU
zft_=G$J1BJ>wu$?2}_xBx53B7<uNTeNVH~`4<O}L&x;K1Dj2m8i29}-OJr&3bA~~s
z>&g?yB2G=CkCyluUEeJB_Gqr;%(kZd$^ED;a$)TX77Cj489>EH8S=LlZsd90KUOz^
zKN$<bgJEk=e>jDtviw37#+%3~{t6J15Zq$;3Q>Lj_z?}o0SNXGry)cs1ztvd!m4DY
zGN8+NPM7gd`66>RfOg|7QA73EZlMJG>WdYew6do+ETqew)K1Kg^gO9yYvV!6S#P%K
z+dTYTrdj9~8g_7dH~4MBTG(v<eB?IT<E)qVR`OQyW@VD~dKC7}Q_;T%;*#~^yxe#=
z)F2kRcK-dI(UeS8TMv+hLcvf`{M$8K(Z{F#(D{w?5{aHXry#56z9s6qYCp<{=)~^V
zJwzWpAu3%l&U_&aoQPA9T|;>x!2Cn>`NQ~|ldEOI8W9qJ^C3T2mO(&B%_v+3J4294
zZ-H9CpmqOKqvJtu`;NYwaaAM>F4+CqQ2EcZG-#KA^Nx6-uLF6UxIMvIKp;7uIW+fs
z4u@#<Q<~e^%%<05U6u6&%|s1iyk;W@ssDX8&q3NU;NW+oaC+r2a6n#5!z7e|n&QDz
z5|20fn}D^j{%Q+Bn*S9L5WM`EQxe62V)XRu)R}3mP}_gs9prR79DH>0)nn@-zGe)W
z!?W*FzEIX>k!iq1?&RJX;w=!DO=Uh``5Y8ak`HfbQF)BE^3+aHV$BZ2PZ+%wYeXd1
zjW<bz@9E{Kqf59Iy+4H~e;@o}LF`@TaT<SupD^3{)G(|H(=@(PVM)j9<GW#@*4HVg
zoDcF`R7N^ZJ2)S$J>Z5<4xzv`Co8KAipVV@BBH8RhiFuwrlv-jgq4<;F9AW5U&YKJ
zt*?A>OB?1>1}obu;y%#JQ=|oR9@wfLp6@4%<0R_$Pul?!aQcODK!$?rGrU6eV(=m{
z$I@$Q+f1&zV|k&g?695bUxbu&45x902Y+ob2UD3^<pm@Je`6tjTDp<un=E0F;;#CC
zz0)gND|xr{nYp5+ucbcJrkIRi6{lu2^v;r(D}UYDe+faP{9dnM2Ju#r@WdbS^~DSh
zRI=TAcQ~S~Ky(XYJz1B2m`_T)Tse8O2)$NbYOyC~(8^PHraBbYI9H$UFZK9E1>)8U
zLC-q0Z>}@n-1!&dfA{zM>{rl>dH3Wyj^4RAT(#4GwgF#(rvAAs+J~49YOSLyUH5ca
z5o;EXkKAug0)BRA=|(7AM;{(k+3*!QBIKNEB2CkUU}req$1X$hCk~^as@bW<Y`p9M
zGo`uhu0JEWx{<U<NdK+>Ak)hAIH8P!b$-V_)t9uy>_HkWuux(2etHw*{_Vf}eWtzV
zJE`aHe>Z@!ABTT6it3J8L}{}!M5lJz+LH$QE+^I2?`J{!jyyNvU>|b!WnZG2qH|Xd
zJzmn|d#t224z2N9H{?7Da3toQPw4X)H!K-_kXlZkEL}51KJu(AL!9K+7y5SNdeS(>
z(2=JbEwx2O*yQm9I==?@*q5tI_GzzTqL4nD0nZ+2iq^u~dHnY_F}=_F8Nb!lVVbgs
zR*DK*#ieH;(F-zEy9NpaX67eeUyFH0AjWUr#wepYJfsU(D?y?ruFlT#?Idr8WpL|j
z^yebYnLGqQ?g5j-Y=riXH!q2zcIYbYGwIC7uj37CTI2$eC3ykV_!{Ns)09s?6@37{
z1-|3ltTu+e$%cfA!?Jdf$;+l0OL_&ZmlDbKet)jFJd#&~fFg%Xn(G~sV6qB{#h7`T
zK*EJ5E}(mZPgd;qiq*o!)Q@GtX1U*9K2*1ZNP}=qx>)SM8;iBHyprG(nKvv@JL=mZ
zupwSYUxeJLAL)dLRD-|LB3jxYwymL66l1sbK({R^O+?+a-8t?28sX>;T}S9DmXI4<
zSC#_W@F;Y+uYMC^h5z-i(68~J;0Tne&Wq97VH3G<c+iU1GMz5gU`78%TSd04;S~wY
z>;YDbls0c9nGd*Ecr7xM)|bF1zw6_Eo$Kx>!QEi<Lg3TfR_GZ2!nwERL9s;TVUfLJ
zhz77@Nd`ebNaGuQytOfr?Ol0*AI3}bENLdvMPi7ew$LwTYHb9NgJC-7WZvQAptte*
z0qjAzo@|zh0FCUHipyW`>=yPK2AOOERX8($>MR?}F;IT5Mzc-Ir4@kex85wy0`~}!
z3Np#>hN{WaxAQ^>+a>zjotZy~Y1XjILiEFT@+A_B><2H_GW~s|O&vRTF?Toem=h>|
z4=hJ&p`Ly)J=SXT>DT0qUeqd*hl-NQ^}mo`L7B$fqTH6i%k3>|zN{$HDJt>JQ(uLQ
zW`U1VnN1RRb<oq{Cm(@_m*-|8w{bs93Nso2Z@RmF{gv3<)!R67q4m9webvG)>N~UF
zNPVBxDYE+CWQLF~VSGTBloPtadsU`_HbR{&01t=dK4&_%l(-uDDg6LBA?@K)>V#kH
z3Bf8C+i06h#Fjg&@sHYV&Cb`S1yKah&ULWoa`pILZ@94pI)KaVGpuOtj+8dsh9Sh}
zeVp~vO}zgqZ2*!j+h>UlRp!!8&ea`dZwCapbRswIQCyu(PHHqVCJAqALm2H(H^D3?
zqjmta-2u(<X)N^H`C@8L>Q=VPl)GjsX)kCsQqoJ0y6bMoz<q@jsvq8b;(8_Q23glZ
zp1O)%b&GoMhdi+Z^4NeQX<lOch?Wu)y>?&9IS0BnD=pb~Gy!L#-Y`(g?P8uWtYviP
z$c?kuefN6lyvbk7oN~>m*=0eVE<6EM-V;!B+>fyc9Z}-e-V!>Q3}REFS}i}`b8vQ#
z!@yXR&ge*&RSd*KQC7hbMWFlXEE#Xx3na7%ETiK09_|cE)0|0L-*lpmgg!p#GMJTp
z#0lEHZab^WQig01c1BjGuD@;cHt`OerdV;CTKq?W^(Nr#<%b7ThI&Ntl5fMMN9W?5
zNN~^a=c(6D{X59pp5IL^p%rP{JZ!V6_^K|Px2qA7ct+;ScPO%xq}eeiB^{;n{8GmS
zE%)-P0$%SG)UZMRXUxc)>y3`m{m>E-M7p5j68@t`e$BzB6j*OwcI=~%7eiN?K12Ce
z!ckC_>={Qn=!I6U?@Gsc8kc99l>ZO!wiAA~gS*#g)&Sfgg3#)NT6^q=Ur^RK4#WqC
zOzH~1Q`$y>qes&2o%D!Qm=mF17Gh{<mR;z)b?^*f_~X;faj~wJ)-&YIIzP1IL;;06
z&Q6UX?O?ST=N3pvYOx_=T<8g1u*>5*Y6u*#Q*ZFKr#bcaMKJ7K2z97O6h)9Lw!G!i
z&82wdNyyeOzBi+rE||1dN-N=pM*w|-*EfycVY|05!_S}~Y#_`>(hcZ|83`uUB+K~^
zVXn{A(8N{*x=Q2*?HfLvaz%6Zp1)~5KaB?C8|P!U`0s!xr@M~Qn*E0H!B1FmA^~q;
z4<*>O51=Lt&I!Ua<e8Ye*Oh61;%I3l4nU3c>rjhaFUNKMpK7w4(U0kVL@&4hI8kFq
z_C<IZ>4p4k&lYi%%j6GAz$R(x-#^%wVd8C^Y*mj4G5HWz_oVJW(}rWt1H#~Bh_UI-
z;L^UX`mVGEx!lKP^6SpiRu(y6Sn=M9y+x&ugv!zQJo_(H4aHGc)6YVDZ$e2%9hN_<
z@BP<`Lp@Nlpi!K@uuD7TzK42^GwCDqZ`4LuG`cRW6PY$LM>m4@tkO=K_fg32M@$a@
zg{3Z$zv9Dc`=#A#MWh?Eb5MGF0_C3^9lL!qiIfw>PZ&Ilpm-dvh0gOEyKMJ|*V!IJ
ziVrA9XRmw1Y5vz(o&T)xKeZ@iq}AB;_VU7l{Tl8kfILy6%?c}&6hklH-)!i#NQ#>n
zFD;|mynm6;0Q>S<Um=Vz0GIt|>ZjATBE(g2;4~qU^yX{~l_SD?c)pfZG1*w;N2*Zv
zaH%pYR;Byqp~r&uo7FgZXk45`=f&nv5NvO_CNLz;_z^uy{aS#_59Q2o{+cFWrvc=6
z*}%W-{C5_9e08eafiH_$-8o|P(lZj(kCTLCOArgLdEiKRy9fuuYl5)LBlE!I04feq
z#||XLOdKmD9(*2Y;M@AqWU|V5-~iRLMLujhc_YdmhZPLf^kbGHc*JgpMnxZQKzTu!
z0O#{#TKc7yJ<t4~hkzG9J6quylwS8IM^JHmV<gP>7PjbRKE0=eSUK%6^C%^`9ESA8
z1^oNS^t>-Qlt;gPFV~MN@WK1PReS&7pa&JcS%(th6e**;4IMj9nq}_UTgMXyBr^{x
zbhU^;MO7DNG_m6{4B-ObI0{ttloEKvr390%0}8{1|0se=v0D6UPBKFpP5a7K8386S
z#sQS%!$Qtq`zKr7N7Bw5_w2pvP{x@8`<eGvsmRe#Rk6lvvN`N)vV{aD;7>6AAf9-(
z_@tOl*`C|4JX>irAMZ+uR698?<F#xy$YB@!e5d_%z3%FKUojC3$v?Trcb-uNc~3u-
z#|&_JFf@2FYIpnReeen76%#jJ%PhqCCoDV6U39Eh*Z_RbpVv2}sqCB6q=E&QX+L(R
zR34eh>h|c3w;t4a&FdLxF7(cs(S0<e#W#)4e48N;AGX51QHS8}+maGlCUEOmgl#Q&
z3#|$Z&+mT1)FW;)hsB@|r5KuN(5laKHT}IcTT&VJM=LU_?2XeAaO?#ZM`1z~d(Fpz
zK~m%3enB-g;%?~L6E}rm<JMBmBhAfo@dXNr>u<_w6V1ylCHWbG4Fs%`PQ4IXr)SM2
zQVn&e<e52>uI#G9Z_oAgR`;SlTr{eba)hAxB?U;tyJNNMj}qES0j}4o#tn`hX1_`c
zeb)xKIweS%Vpt)ZfsbN|J6BoapC7*@Pd;5aX~$bWp}!M|5c6}3Ba4otd3@<oLLhYA
z=}!%ak#6U3hWd6YE9LDv6#x~Jm$(uC>b#F<i+%ucLQg|Jk>6qAwoGsnm1&F<Thm_m
z)QJ}@_wSAOU(aVNF01DEt)bw9Vv_AQ_2r_U7E>PY=`JJ08D3$a+#XsN@5q=)V)(;J
z;Jo%DUXGgOE?>{?M9LwLOXSx}Kkz!LTeF3YJF&Wp2I{y)M7Z60UO()&=xkob3vP}b
zAyF3hptg(;x)0M7@Lz5?txBNOoyX;}lX)w{;YS^ZMbDer`7>4I)i2*w{sEm0IiwGF
zF}1`SNd#&`zVyLecYgmA0GROkDQurdw%fYWd9sP}X4pK<iIYQ~VdXv{N&v=dBGn)^
z2|#oRdg?1!KD6_DZ=|HfwL70;`QH@5>^Ly;T&dEi9WyE!ZQ+Egc{17$^heBi?q0Kh
zW*T`(A>l9JH7<bbdh{as*0~RC7_5`~@QfBzM*++sN_V+&>B*}oAt6C0zoA>YPsyS6
zbLfmgzs_|coDPJ$Pd;+16-%^tu6AKTv=zI_Jv8cg?v0+H%jSoX1-?OC#xRSI3w8!}
zVJ<YuvE!^7vW;tV=^sK*mDDQ3v1mu5=~9K;3`>Aevix&eo!^1Ke$-1jitY{oUMf~_
zQyZP+3p1&xj69wICNh7!{SL#dt2lqAyIk%RpwUUyVW#jYR*<hQ_~B%h=8!cHfzhFi
zfeiqq0x!6bx7lVQMz|-3k!-L8PL~OR{s!gr-G6z4RE^{0P{bPC`Fd7oYgWg&pE=L}
zdt97BZSBvWFQ{Dp5(%9&POp1*VB5%&*~M{WgdZ^*e<$on+d5T>j%*k83zr!-bYE@v
z3eLpFZUIpkLB3HL!m;9-9|Vf71OQUTM~dAmZo)YbBm9!8=cMtg!Y>Z~cDICdx17r!
zE&eFcIguNOQ}qGbL)8?iS}wz%&Lu&yg1Ndcrnf$cH9OfZ<OXaKiy^khjCbLY1MG%E
zr@h7)-M_u>0B_$YZFUwQsiP>M-6`<zrz>2}jf<ciX5=GPa1Tig=&?tnGG=nP>x&p8
zR3r>7!KZJ(;7`}<7D-PTj)8xd!_F&hZf=qege%QHI|6*w#iaYul8=N^^Jk+;fpyEC
zpg_Sf@Vz&n`-+|!02l-NqtOMpe4@t@8>TS<2kp%}FZIi94s9VZfE{gc1HZ>Ip_^Nl
z+cS{I8L3b0*@F)Xsv^dr{+XJeO9HRS9@fDekea|-G9$lwB<Cgs6@_N+C`P?3;AM6+
z5ND93=-YLbGyB|eoY)w(6<|X<uxljl-@)3RdIFaX?&J#+gQx|l6S`LVM%u@-&Nl4r
z3QyCBgZeMLv^V6Stu0Ui!N59vO7OojP0!AiG8AF}G&}BhN7m403;)eMJ8rhTog8U!
z(Ywa0Tsd1q@y>gnum3*8Uv(5jku$`yz1DoN-I{veaxY4fL-QV#{E3!+bj*u|iJYFr
z0CpNk-eqb*e;n4D8l6XdA(wAtZn<vQ?y+<`by~08>H5MJy^~Cw0^=5{I#hSSdBn-z
zR*&I_bKtM;PSD##cZHaw(mbm$P#*cvfxq0V@-Ek#sBEMsr7)nbj)a+7f=Hr<SWSR@
zsl5(EU(oaTYR-Txz}+*v&NlY`#_vjaAPnQb<1SJy^WhD`ZI}uaF`jc`MF_oPqtMa#
z%G5I7X3hQir&#NS+#V~^bMhvg{$$xV8QVR6Jp7YbxQ($vKy4G3sTqeI{9%j9{K+NB
z>pn;Fw_h{%>hZzKBkuKik}Gg7mK8#H`gE@hMxGskhb4dSEj!S5Qcc0Afz6oMRipV#
ziSl%b@@AectN%&zuwp+3Nr6$8crO1<nd64>h%Um(_k@;ubm66}_`68hk6+KMt)x<P
zS{T0=^=Xu)v}t7|j=8>#HNBw89q9g9oN?xqmVf}ZAxTAto%;%dB5>Ac=Tg%3-TB;e
zXeP`LtQ>w$>7UBQKk5LwXB8Y}in1KPMb4{V9V(skw0aP}(at6SlsfM@1{1&NiufiF
z@r@}$P}CR_)|;()c<7?DaeIMzyI6iSnKdMD*UG@0JeUGDfQz>Rjre52QpUyDfqnpE
z0;+gdFL5JV5TS>%uT+k@H<ohQ6HzYkiC_DfF~pW6IkK}qF>%B_FH%GW_Hn6rabmry
zr{BZc<a+}~&#nEBlKI~(hIlm~3TuJRVD^A<lYk4syB(hw&GF{M!QWm=y#%b!x|Kow
z@2LQ3W&!T36!dvpDQrc-9X?CLw|bix4hIh}D)}s3om#gJ#)(vd;@A)pwr>IJ0_hoA
zx1CNnt|bAE%f+pFYL?^I`D?TIw63W?!sIUs(&)F6Jz~Ao$~)CblT_Qa7L6O3ynK8d
zS4G&w%wCNNnZJ3unNqhHn&HzM<Vke((K`tL)U2AKe3@+Po6Vqlpsq!fU!ptI=wfj+
z@omP?PzN0Amnly%z_?xQsI_+bV#=4F$<5uP+}QNhth>R*47W=(-}wCJfX&3abv`W#
zNV386%0FFpslO#x8_G^$Z?8Fz{+wK2l_H|_(MP29)EcEvDtNzMZ|<<Is_UJ|w8q7W
z!(P-uW_=BYU_a_yew4ZXb00kOCwh-ZgOUPyjRey&jbo1ts3_DOX^p&62`!;$XmAU-
zW-7`w8teU3a<7Y}su9enAtivTG_AT{N1rvgYaZi&E=xI94t@uP`y;(SRG-+k4k(sO
ztLdTzUO$4-qjI)F(s2?;nz3bs>@UC*@dgwy?Ndfx6hPRc@y4EvGul5E?Ar`QPA+;)
z&=RyWQ&@%=<iCgi`KVIF<@Ur-Y1oXJ2U6-;;~OTk9nJCHMlt&m^pVxYd0X&;_p2Dz
zW0axZ3?U^?2*&iX*IaQlQccPVTzsD6pDAu1R{4eOSKy|WH}lG2rexm7lPbxaaM2!!
zgCFQ-*C?C+{EbIerxB`U>;35H{ji)i$wx+lw$$l}a>xoo7@n$y=48?whPK2GCFprP
zWuhGXIA%h8imu<gOx_9u4?$rHB^?@9M159uHgAOYEiab7SaxNb)E|d2qQt^Uak3Je
zJN0gWGtp9`wg%*SwV0MZ;gNlwEKiU>%i;&07iQr8%yiR4r!_EOdG2eP-MNi*S@d0V
zJiNliT|4~!<H{9X`#}j?e7Zl#-<a?7?4@I8-uB(HnFEdEU1}fXM~RhVOzK-ueEG=6
z-`|qIB`-&Ky>Aw+QS!bh6eH!;e+D3^=;kpen(zcvi-^j|4@T#5*@&|I;#_;+5dapW
z>c!EhIq!Mp>&n|>2?JHXx(g@NVK*jV|EniZ#iy=7i8OJMVRLa+F3sr8!%I0-`m$P)
zb+<jI6c44Gz8Sp{^y2MYI1<gOC|qXTkc;jhgg%JojnJ#h;ka?6;ZDYn4=Nn>&L5T|
zyhY%@fKZNn6$|XOC-MILoodAl2MB;alD4L51u)I$@~}aC-jbGzYS*A7hE^zQp}RV2
z<AF#Zy!fhtsCmBDG(S8p;rU8CpdLqIjZ94VI(<;fxsCc3acV@~D1c^i^AOc~l!ra<
z%4gkUA@&HFe@V4o@nF>Cv+dpaIJIYE0F|(LQ%z5*3;{p-OulVucIsShMvF{~?Wz1j
zj%swfu46tkP3J{vH;I`Py9Z(^C+FrOL{B@3QJWESocPT*gMjPV{}Ln7YrMQ~gTkLC
z^Ygo5p{5i7SHfyax(b&^>$HsqN8eC;^BxX|V}*dwmRGWI=nqyW#@GfrUgfyZyDL|K
z)WET^9Tp%7mucfVPB7sg%;*Nhcl$0COEOHSM9}8pgra1C7n{A#W8pQmklA&pKCC}f
z-!-=iixBitY_>+3W@shyo%!F|cYJ3z`nGZGki2<n@HBYd$GV3P-#r}ZSF@~W*<w04
zSGSD((~>}O?7WY*(1hWqY=ws*o=?UUzuMuykJ4LEp#I^j^IKXY2&GCO`hq*dAH)s+
zQ5!b2-;J;f*CzD(J&uFnd_*+UDb<O8P@4rz#T9dJJ;Uqiav9zegRdNsM*VP?n}*dS
z4)}IG$n<bK1>MskLBR*uoQU&VZ@VL&6+ZKKaqQxHG!x-!J*cr+V+^J_?Yty_fsuh?
zsG#^Cp9{Q^kMQ#zY})la<Xzr*Q%wNAj-dxhobYaX2&L%X_s&c&$0t4&R{vtqLrKF|
zd|yRp-g*v)`TJPuR;W7xf6)At#z{=$dtGK6(-P)-0-y6mCE9(DjBoo-JNE60@VW|q
zEA7j*`jYNoIck>jVyED1v5A`nweOUZd8Z`li9fc%ca82s3BbAq;Uq7LzT*+l`AQ2W
z(&~;avF|JGa|YwNS2-P^9r9^}1jo{x9d$OGJ0iwa_eOkH=9nrj!QuE?D#X^!!E}_X
ze6$Do=04v$Fd7VTYb*Cy9F)`dhhEq2983o^$x$P3@MIV8tiL@wJ6RT)6Qn%4U+bL~
zR|Yho0j5{@K35Poef66qunQ^=y;<~4YR(_?LRT&=e$+37{9e?IA_h<$ELJ|O0)MU8
zRp<TrP(xlK5$pvls51aHli<c>2LGv~j-vBG@3Y)SnI)){mklM(@}-I?W#+0gF55~b
ziF-7d$H;R{qw(w64yYg^Dpp$`*1pck54ZYi>N*aMvteoMuUt2kE&qMR_0~vf%S@#-
zQIw-<Pi@^i<&d${h8|dBTOd)0uE}|%$=q@7+I%vCWs=fc5-^i1ilQv*{i!CcH5nO{
z?uuD5Di2OoxGSq9Kl~=rN9RI&f*NMfNjh#Dk)(^_#o>Kv&!EOnG^Z`%OgmTr?*lzs
z&neKSOI@Q(=eEXT)1!M&2Scdx)ERZcqM<vd_LTnTbi<(w)$$Z>9JZv;)2oFs%Nu2m
zyXHdBcETJzAMM0eDxZbey(mJ7upBP$7P(EWI`FZfdcJS>wJDR+ZgZUUEPC-5L_=d<
ziU;~cdq!bi4RdK=z@FN)QlNih`Jot1oiXk-Sw^_sZ;eq?x%ajvi&IQHvM*ZlGv>@K
zaTU<?6)tRYJpcec!Bt{v)bACq9(!l@PB2rN{4Xy#pLfaTW%bI6d8(zv3I+4gw<7Dk
zwlRWMcag+mVW}#?bWW9v3dqnBm;6R_4xiE7mtCq*U81ZlyW$XZ(GxEY?3U&h9%=HN
z59y!8fp_cu^reWCjzH7hx!EoL)O=vxe!*6OU;%6#)6yb(k*Z+tJI<PN(c0nj6Z<Y|
zMh*|K7vn+em3}U<kcVUDUUQKRbjbswxXXIJV`Bu3+b_qt7v~#FgQcgh?{W%)Z!Va}
zhudbN%;5g>IsMNtc_f`11HR%$hzf(mc2pIz5o<j#d~nza+OTFt;vyS1HUjLnXvH}<
z1&^GlX9AlTn>QeN#^E;2NEGSr%wkK|ChE~#b=kjc$J2kt1Nyu9&S($hU3M*r-84FO
z`@(<0SLq3C<9peSdqVHj)q;hhI$ecNV^_01?|p}AP@%M~v;q<BY9}ldt$*Ie00?aO
z-hiR;6*XNHsJo?^tJDqEcWlGd($eBmBL2@;ioIp!dwaWxf&Y2G_tV{;DU8D;+*x&j
z>frBQK0j*x#yX<MhJ`4R`6hmTX?PxgiL`|Cm_4kW?IP?=GntgrC2iM-PzzuE|Al4&
z8=%zB3m%kKB=US-rrQM>*mp21GAtt$koiv``rj8MD3{~|)A}`abhfgf4@_OxRZgb8
zVK^9#e7^ffM>1+^M8%J%V3ReW#9skR26>!mZ%SXi1Sf5Co)9H|%K6stv1~qtuIvk!
zygEP49W`L!jwLp#C(K-4p>RkkfPuf_VshT0Mk!?^x$a*I`?*vXm3$K4AcbkelFX~B
zbDDeU%{k4*QH?6M%bl%Z!QJ7@P88b<b<S9~n|M0!YyJM(ibQp(>0CMSTx>4iiW%uD
zytC~1RpXN<<^JmrbrovD1z1UPbrR1S%0K-WPPpYUwAF%XAN=MPnQY-OHhM){F=MZU
zeX-N<LVJ5yd+~_@``U{<nrD2vF<`LdD|C(<XGgz|<?e!b^fK93UodeS^dLiNbU)fu
zyX@|NT_~FD>nj?oP@Er>*B-zw3msQxkPrG}u*xJCCNH))JKC1fOs`S!8GlDl-p~Hm
zV}34kR2|=Ea?T_tuW}*{pD?%u%eBe@C7@3pXra5fTAX{zl*CvZeQ^6jtJGC9h&U;f
zyUnz`G$_MxX`CVcIHf9A%?ZDGyV{9_Jbukd+?p2XG&L2;m)2B~hTin3h^|0;ha;W;
z@&zs~qUL>!9_omYS9BM@WX=G$V=bN}a&VeRy=d$+(5I`?>)8Qz)=me0QfC&ZGB@9d
zkPllFjB!OWeXJT<^kK>yHm^KM)yt+f?#5B4U3ir$@&1+98toCE;Pf~q<kg8`LVnt_
zQiqh@OPdpN&)9i(35T03-M@vK$M<7EBfyN!mBCYP{lDbJfDE~odA{MNtA_IyN6tuv
zE!_0iYqeh@ef$9&vwPanF_u}a&+_DIRrC+*ZeDHeui1l6oAQ1w=WRv*JRd-fcW8@$
zm~pl5o5-{Z7LR3OzCeTOE=Kh~Gh1%cbrP9Lm;d%zrOT_h)*19aM<v0aV(6lP*F0sy
zX;W^v41oO+`xZt;PmDA}>H<^~C$Du|G*Jr<tfwst0A=kyQJNh-4ELBRoIgKydoimC
zddKABRhxB3b*f#oCIf`j3)n#2i)VbQBgIv&xQ9zTD7{}l?0$M{JZDNrqO{>u@?iOC
zoRYv-g4l50WlVT)eULftlbaiF;B|$u=|BuQYR00Hr*Hc?14CFeit$!{y?svqQ!8s(
zZQrf$#1qdz7iAP7`hUBKw*uk52}4%S-h;RKu%B;_1!Xdw8!IdE1XtaOQ`z++P#!ZR
z?bUsJN(q%Xz3;bURpw--`Lg}zj{kf2bNbgAg3rHC&??o@%-ns&s($~xFZ*496tvb9
z<LTNMNn$<_^M7-i2mHAcPr}+l)F)zfB#iK<`RdlUZDm$TP_`BC|GSTTNr{8C=OvC1
zA>+I56iibx-hJCSEV?(*8z|jK-y<9vPbhH<09*(zw7Kn>P5zN>J+2=n@N9{|Eb4l$
z_h&n0z3Vc#0%?#gr<q6_hTsSA%l`G2R7iNkqH%a#{7+`nl7-AbVD{A2mE<m0Cwy?r
z@CfI_wf9hz>#p3Xsl=^x$>CPHb7INkmQmvSHefk+fZ8MC?jm}%!G?0Gye10~KG$C=
zDMt!aKlCWH9f9H}DPG)edVCd!*~XJ^=WN|AgW3;ejVKEmUlF69++DcqsFuN9Vw%$s
z>y*TYfjlDs_Ja7~GzEupctC2_gScCcyW+~UsB+nSdNFt2&L7JuCPNB$1)i)@`B&Fv
z9ADF1?TSR6f)3u%nw9^He64u(c`IEAgmq4FVd;||Ir_$wWqz|9!r?-8y$Z^lD)}Ez
zXBpSz<Ar@t5S99ggtSr$jP6FIyJ4hAcXz5N(lB5nhs5ZRZV-?h%|?exkCGS&2s}6b
zpXYhUi+lS3<8aQo&N<&}_F-vi;3+9PPrGo`<OTIQZfQZ;LJCKoi%RNv^;^|q^IpAY
zdro#~p|xkFxTljgbs@&kj$H(yen2PWQ+Xx=AEZ6?joP=ge=3{8S^dO>XQz;Vtef0X
zi|6uG6gxI5aA7oA?Xau!#;Rm*(F}?LrPjq!lXAAAPP4QfKiK&xU!nr90#^R5-<%{+
zYrbIrD7eumXy#q%<cn=HY#W7=J3JglR-}IQt}@`^*EH+XjcW!4bOl^0`*vA&SaVq_
zYxcEcB=Iv>ARRG9+bY$97SnYul0J0D$xaMD*VZ+4w#HPdamKFauaG+R><rh%G^%*q
z83_(j!>c19=agZsgHz?HwJ1A-PT|*cGm`prUoH;j{B4XEQXNk{tbCWA@1&hoHxtkr
z=0^nY7+VpNzXiF_s#X;p``j675)UdSjUvMuO*4D%wog>!S<p%_S}+I@kh(hPVf35O
z0h1*0AnjGEiUbH%kUS59kJC#xY!@nMz9`aOn6U95Pz$(zYhMgrcFt~%G-~$%wR?2`
z(kHFev!}H>(aGbgyl4rK!GJSX)IE$p1-0OQkr>%<aAxRWtsGSipxHVMjTSp}9y3KO
zi*9UgvM+h7)2r@VZFU?t<CmUEL2Ru0qC==f=o-w5AhgPKbp$7XZ6E2`N|+2o*k2F1
z{E5FKLjT<dZU%XJ^W<ZA-Im*MjUVAzvedSe-0jzJ37>LM9HJpo{15Nlv;SQ>qkpnl
z$AaQtq(=}m5}8{3_lc9>1h*ZqdbuUN189nB%h%j3O%55r866=N_jlk;-6!O!y4L5_
zS(Jf*C9VRQMB-2N{YrUU_^WrO;|XT}{(Iix#DEU~G~;zp9+g$_m0iT6h@@{o(@`|#
zAbE8%_0PBkAYXjrjs0tK(9+TpES}=A+DAM-nXAbA^J5%B)uYz?q0|F?18b`z8aP=V
z3ZYWEsFv4Jn80nMOUPAH+s)!7R<?T_e4Z~Y<U$OqpW#c7H8fmj@rqXBZWmMVOnXSG
zY~L5yl4|2G)%jsfEi^`NeU*2xD+nUUjT^~f<)oQ}I%tE~oFDy~zFlKByk@qz78Dn@
zAOY*-&ZQ9*Nhu%YT0K<eAG49b(b|0qp4fb#l4+-&WAL`<s)1ep(gC8Fnw`qe9;BLK
zEiXmgspD4uq3<-5tubTWfc4cX{mb2GX*T+cDs%l;(o?TpetSDllY5a6&<9DNOvWlq
zV-|*|+`A8Te-Hbzw@kf;J)?yg8|!3kJJ5vHruB`rBMeKZ#Jn^*c8S0R5Q*u>hMmg`
zWaTcj%Dk)VrCGz&)-|U}fiNUa_+Y^XHKR*pk$x(VExq7qbk;JH06INOP#St+EsBmL
z4~oTzrQyje%92gwsbkW9dwU$}V9J;)Rgm=BjtR)k3ehxgDgAHOr_eeVQ{%Cz)?QU~
z!=*Os!~FZ{B1BA*?M7Atsb!q0j>aj<MRPtg_lwWi+CPp^_|FSFmGZ;mN5<AMlu;6m
zRMj?3EM`d^cO9bzxYHX8!K+tRlkVIOV_f|pT#f0-FB#D!KGxcIVFk~9nRC_`9(^4^
z)&>vH2Ii~Xa|t;7ehFv);!&>%Dp{Tl-Gqd4SyHQJvSJtFPuYw|xjIN^{nJT&0$d3P
zTyq0*Dx#&HUIJVYTg^nM-6?+PO5LfM8$v8DUm-iQxz&E5u_5JG&orf}U<bKI?Hx1r
zc>q~r>{gxK_xGGl2)m!<30X_v{32*AZJSxAGTF0xAciY`;H<U2u*lHNs$dZ1a4n30
zTTTW{4sK+o?stUlQ12=XHB#WzlrKYEYsm0SgDWc-I3=+raWRuuSX<N~kM*$+ttzQV
zSDCb39gF?wg=NIXp@vyIbark<ksLzwE8Rfo+wX!`D*eNV--yvCkW;g<D+MwD>twF0
z`vDGL#C6GFqaz_0mAMH98Q0yn%kof=_WQ>$h*G;3l7v^7P({;J127Hn{-x=!{((~*
zrjnMzqZLwgF(RE}sHH~{A#VW!Rcou4TXUgiPP}{!<<BD|k0Ka6hok!7y?gOjTQ7<D
z3^Y!WnIeZ3QCm1bsH3?}*Stn;3)A;|1bI81OC`S$GDC00>kCX-wfzJWUC7DAhozI^
zqHZdMr?P>gBQGJH?$m@hYV6M(`lsEWT9B~m&y5V@4BB28$@ww(Ji^(aNEY0l(}3JJ
zVJ;TIPPEuk2<OWzJLUjBuxYz&skyJYq1p&H>JJ!oOS0f4rbirJ<4;n>m1r0SPY;yU
zs+D%A3_$v!L6w;eeu22knH+niDKDJIXN_&nBz{ah$Nh#l5I<V?_~;nn&u!@ERHyc>
zPyuJ8X85y1gStULfE|?OU_r;54xHa^h^dp=C)U2GRgoA>@1QWs1s%V!x9yPZm7hS>
zQl|UK<5rZFyx+a&7TSWVIK~i@OsUqZdQf$b^v7U+YpVn(oiHtn4_OeZP|aa+;zG26
zER10>-o~M44Ae{Y6iYW9_nz`_P%VZH$WhlP)o9PXIJlXONu3Jy#1<dPYSLDSn91$b
zs|@&13blXbYe$9=gqOqQ(+{jSADD3`a_g^uG7TI(`zYmVgqc{WR-vI{h+@E5Y^U7b
z@l}iAkTxD%JK>{LUd~%Y`7UMgMgunk9r+ZLvR2cgQ_7pE268iIM#tZa=GwEBtFV<{
zj5Y0^b0?6%Ym}7Iz0G2(cgjXQe+f7Q7dE71xY|NRVpy^*`s<x<czi~<A<X&lELX-(
zFykaer%mm_pw}uwT;KO$uD)?A?C+%(6u8q@)C+tfzzevP0V^f*rNc}u<_i+DS>L~!
zKACHBR5KpSFS#4u5w~FwO)g!ruUQ+t!D*Z#-*QkZSGc*8{Tl2(EO>e5>SM|W-wjo1
zfNG#C3%|ub@GBD+ai2-Vlgt>VzuB93(Ra!DNPRM-UShBhvSg$IfKjY$NQPW%`Cn--
zo@XH~qa^p=ig3f{o;#+)pta8OmJ;-lnX3qu_6AY<$JpgJ9i~o$I4EdA$kI2Kbpu+~
z6*h*X_C#!^>OSrp-)D`b5Mtk~M%|Jbr+g3M8fO)5b*aKae}|3%)@=r4aK_Ckm~rqh
zf!#%Kr#kl4WAG_+75tT?z|n{QNCO#8f)3gZU2EPyJwe7CRJ?b{5XEi{{wq&E;r@$1
zUhw?Hot!1Wp)Uw%VtI+EPY6yXRQ&uz82o?W2Cvetd^_2m`gwf*!?Rh-&@hsar|myY
zDJ)9M4}iJhMd{rO(LT&2e9zmG1SCl!;xSkAyXsT!u2+lyYVOAbT%;FDMWv+=soBy2
zLY=!PoxQ880#MJxLoXb%e5S$ve-HbAVgvoAAW!e_G<g5`ylwSnW}QA42<gW_NOzC_
z9)c1BMgMbsjV|U)85$rXcbhYlZUrf^C3k5n(tmUdJ<b$ejTPVx4d#}YwX$Lky*|!a
z?YP|UiQ(z^>{QiG8Fr4eICY?>&EWi@k?4o0`7Ft7KpHsoCGaCi{gq_?1x$LU5(#q(
zUbC2|)Se29J%ng}Dw4F1qvXH_YaBt_m-zTBDvv&;20o4%IId@Xb&Z)So7SRl%y<=B
zq-lcG=~k~Uh){h}7q?i(-&HXkl<P&wr7MdpkDqygjVCN0gRNj#NmDKPMhuz<6@|t$
zOBjWp4`%j+NaOHM$S<VXhU^U+O_e7x#s!TNI+xCr^2zV~3O(~|ZCQ?EKUz6=@eX#c
zlECq9exdO4Gh(#Za(iaFKu_k!U<bO6et4%ta{3F3)=&xF%|)VuhQ63S#0<rWdMezF
zmkHosJ}{AAAkQ5vhw4iugGK0%8~zJ`(pjQA$*YR2phe)?S{t%@jK|)t?KR&9zF$Mh
zD#o&*R*o7C+<#k`Nul6=w8yS9mt0tTF+WcFyM?TdKIQMAtIO^^B@Fps0xlR=!4;JI
zN68$jftXU_8?r4V%2S`lz6Qp=NM&B9Ev3M0Wi(IUz-^d=nG^7t_l0MF{c3`Zw@GGR
zQDvjcpo<OoFfsAqwbe|XxNq1h``{}m`CI&5<L{DlwnZ7&C^{2Wmq>QDXfUPLf)#^b
z99lPc2S;s#wLt{j_ES&wT$Qk9hxg1!0@YBj1H4}Pk0;s$xiH{rKMZpba^w(aO{KG_
z8av|uXi*hlEZ}sCyB}iL;kAD}16mG^L$G{^T#DgZjb>>jt?|bRZ0(&HnapsQZo&(0
zxAZj=nX6yOsHsdozc$nz0>>pJz0QU?O4`t$otjKmA07(K(dj3Y@mWin)n(<wHXgKZ
z-!G)lfA*vPd+j?+&%R2@*?Q`;j4HjL;;O|e7j>>SLAj0#*A30aK965s(<RbJ){Tfe
zDpD|weiJ{)MZaziu55bD262_I7F}+*F7XD$^3b8%L7YUlT*gL2r~~IL+bc)(#!q&M
z?Yg`s3ZZciB{=dtWxOp2++<$T-`IXjew~riL$Bj82K+q#gCM3KoE^}tWy`5LO%z%7
zzsnf*mk&4xZ27BBiPHz59c6CL$C^&(op5nTW&ZMJWMo`8Dg1|rGsX=DT3C+@$$vpD
z{x7KMcP<)$6UL9PVQxv?1Fspz&k{cpQth9f0eN{HnG<|8_-;S`X{`O*LGtcH7TdTA
zhTHVseP3>a_&u+8+f+3fpwF#Ei`_M(jIjLFW<bNT=*qS;yl-Ou<xnWQn1j_pF;O{Y
zroMQxY*HMOh`xM(?x`#I1+@zC<96clDBEtm;5R*brSpVa_g?rt(!q4;J;Vt?uSR`4
zY({+yHkN%9(DB!DtSLC4LUpMy9Y3W(eJ1TM8e$uV?6SHy2rp+J?Yk&G;PD<Cg>6!l
zT5t@3#p_pNlzpw#b-SkC1fxWrS#%V8D|fU>m#DZmnYMpK^t||5a+Kc;0M=UhRJ8kb
zTXAK*AS}TGZGz@yWTnoXvPGu>LxMS#Dm@u#sOytE^O|K47ANQT8P`1=V=G;A^2n4<
zi*4qZcb)J0MA46MaLQeGz9+3>-n7&OPt#aDr&m<Dpuo|PP@U<w-hxjvAmEwk)ybD|
z+mQ^w{*=W5HaMe;a4mD9jYEtu4#1j&iEtpSbt~R%=rdPcR_iEF@qYE}A=6P(oWP7h
zMX+(5e`?@^Goh*Lkw06FN?fTfm}fX2?C_70^v0(UD#-J+!#evV0sZFZ2W3^+fIpmZ
zL8bHKD=s}AgWTzu)~s(k|3zr`zZs@IX`$H?hTn-Dgu3jqaO&@=M+>Ga|E%}K23A$0
z4Clll<@56&9D`_DW!=*ofK{e<MXPJuL%ZeX-JVH0lX(+DLv>{?nQ`8X==6w{VguIZ
z!1w!H7c3dcX(Xx^bJ7#<lgzFqaGnlr$e6acDlgdT;n}yV1-hQx+g^#$yQE;0sSO`Q
zavgcgtBvWZfhQN!L+a>hU@0aQ_g`XK`!4^}aj{r5_`>Pw<7@GQKSZ|P@OQ{;euE3D
zRxd!(#iTFePD)=lb>3cx_m%M?|H${hkN|)GC1ccueI~y%d?8ckz|zcv1{TP;SM(;M
zPsTyFKV}Tf4EpHaY_h~At?8nYh<&S`BhGj#vGs($f1@VE!AE1DG5@=KzvVkKsmLbu
z#Cq=WR2QhCtOrBzSmJWzjbfUv;pRPDf{MoEIsEt+_Iel(+Vu<3IU{7c8lzTYQbO}e
zjrwBrw=>;bDcmjQ6`JQ3;{;K+OXU`DAt!?y3jCKiIBgw)%--rfQHoK+0CeUx>22P7
z$Lwl74%2vJ;4yNm8l^oW-TENQ`{X-M=piA_x5IwM1VH}UZ3yL0m$R_QIm&rT=P23k
z%nGckI}rMYb=<-hg>PYt1n~M>bo1Y%ugtNca=$uqo_u<D>)%jOQE^L*-E#|*_`%-^
z=xOc%NcQ050Ne3Y+L_7W4~ioi$K1Sp$a>nBH(=liB=YzDUBI%rXoX)bpQcW3L*wf}
zqNxHIvMD8S%o)-6cbiDriOHcz$L+0<yxy6Bx(kOY(ujG=Yg@BExj;$vy;W+UWcR9F
zJNcDIn?>rXAB!?va#V5R?NlL$RZxSSYlq~5X3gPpEJskO7eUD`OTdp(JozD+=~g(;
zdl?^i8c&W{o1{g<(BaK|kXlD@Y}o6LMd*VU*l2o|B<{uuJQsO|xcA^5CW}usb@amO
zsl63;o&{Ak11CtZFm4&BV^Mx*y{2ft9H270uWSULv(m~_#X&bN#-mueOUP|C%0F2J
zSsz*BD<e%^N@KaqWc$-vqb}Z1mh7xgtTanL{%9@p+f|2op|ET)G?C*i_|6?nb)Jn<
z=+>N4f9AFUb6FwB)@*I9eO?KfKHOGyQh1)3#X*1$8t5Tz-sHVR!zwy*vA>mnTwwn=
zxx-}b_-`Wb9<;b8wmhbiG5)?pD3^|Eva*qj^2G>EuN3vTUvupGNyL~Z-TiJQJKjy;
zjugwHQM2QdB46cOc6M~)T~j=F{W4w5+bPBMw6P*8k1f*!U5F5y6G|Mc8xa<2jW$rJ
zF&B90Vz0LEX1w;tIM#(AMxiPIwNt=UWY@X9fQsd_r5OCv?7aliUSBunK^ExBUrjgG
zv17Hqmuq!}GNs%d4@ygc$qUaorPs}BRr%dR_T~BkR4mnOFLwSQ%9q)SG6XnrD*{bi
z&ngwfXJ&;D2QH1ZLikd+3NNcV*p+0+r;aj&eo59^{&wp033Fs;)3v=CB`=#;ZdVtq
z>^k)3N$8{ZuXnf`&%qe8s$%;__x*+8df}d^xU3fij{nM2LMx}N`7&#ypn^W<K*}BQ
zzCayR=V*juvP5In#=D$|L38bO?ae=Ekkfx|nlq@?9-Dl=U)r+)C?6an+Gh`>#<afY
z4>MY{X@G4_qT>Uk?R<6|BThy<YC3)g9NC39+A>}f<<+VY>uX@sXm;{;hWqfOb_Dx@
ztSr5`nY0!(DP1s$IZcpL*i%LH#!$Tm<`>ro2$=bNK6cT)hu9xLEaTvGUM?N*2A%HW
zLUBTY?SH^xc>N}MtD-x12s5gYLVo#d8^E1Eal8%1{Fvv$72!Yy-e@`hPYHfD_3P>f
zz&;-BJio?Pg~gRswm2q0y_!t{#IoM?<A~QuBEl{al}@7jTgpK41eO<m{==p-bm`rh
zP<t4eiY5m1?oW^M4St0Vvci5WdW|h@uE#`2`(9p>hW&Z{7h~9Y2WJuRS7|!zqdf~S
z16t>!Gkwm({8i0wgZ-Ml5{#9M07dz~h`SNM)Xegv`WfmYm=!Xq{{$R6Pv8wh;=_<a
z?!6&DpeC+eOMWZFIJf>OhaVXKzR{ZBQw?&Tj}SWVg!$=~a^~n_aTi?H2(~pKG6=D9
zjsMzu*C^&_NY;=axzRGyu)^vLQ`u!0&wGr#ivoK<m2kv>AAf_ax{uJDVrbUb`?c5S
zI@p@v^WOOMA^x0C#moLY0e!T=jtjJTDf~8`&(0UhuQ3m)0s`4uOICEvxK!FV)~f5w
zsp_eQO3mB&G>%%GHFOwNcGoV?1^EoXwl%OmOP}|rb|yMYno<r&u_2{NJS78_7u_|(
z$0NE;^y>@74gG(Aw1w6CqJyr$Sr<VT_KqE<t6u^moAqv%lYdg5AF)uyImsI8?xAZ=
zd}@b`kJtU?2a?fo_w%C23rEW3-LvRZRnr*9OU&VmpkDCw*xzUp{rd$)M&gu=$C`bE
zWvQk6H#?7IV*f6njz^(igvnM1K5V!?JY9f8$Xv@Ze4m4nZ5a*MS1WXWw0oLMWY3@N
zF_RYd1&1DbVm|mt!F}iZ{PE2QYPe%Mmyp4~Ktl1%d2qiD195Jv)V11SV^FfjhO%L|
zcJatFZO|*8pFeoXHi-??He{yxK?V`5<{#T(h`Msn>rVG7vE%!k>@7G?Q|E2KoCXIz
zwp2@s&6{bLo%LyfOY0sAg3#^}qO$FD!Hv|7?QeoHRq%fHpVA&&xq(i#Snr%h{JE=<
zUtF73)-~iFbH3;>H%6pnb4$Zc4Xbbh!`q$pRhy`w_pU8=P9SvVbna-5|1M6Pn_?~|
z)u3(1Wc%91Nax4)I>=l$JHu8uL9<;mousAl_&VK&RYeMJObil&OF7JGg08Y!BM}li
zqb@xQw2g0F!CWLf)G?{Krm;B<cyUQS`$oU=f<OrYsBG)dASAywWmQy>i`P8L+k(?d
zkQ8Kn-1>R_-dx6)<4<En%_|EJ-Kr!i;5oH~joP$);+6T%?M_yh;LezUl^rSX;E-+|
z&|O(-+N!6S$fJ~zaPg`HYlpUS_$izy&Z{D3+Qiv#GcB84+_rf$RJVX=JHmgQRP6TN
ze4Q-_$<;{Yk$`7uUE6^mq=3r00eH52{D1B0;ThWEo1l7@Y3SPR{^aSC0NEA7+n341
z*+jrEXTz4S-#+#>>v<s1e;d4bmUy?)^%LWao)9Hlfi!JFkK$IQ`$5CSsZFH9ixR$L
zQfEI3GhJy;e7wJhxU(p^{<5n%9WB22II+WWu3(a4&0wlRR7{pUeTu_nQKV93d(XZZ
zDvFk<_l(nVvx?PW80KUiRFf<lsxUawmW@CCQ)%<k*G!$NYswr%IC&IFQ8wY&tj1<L
z?r+02`Sp-N1wB4GX?0j<h2#G6(C++bsy%WYsoUnrk*e<jVGHo4xj75m&I<#tM-K5z
z(IjUqD8=_r)#1vbo;GW;mo+jK7HZP2G6lS$sdF>@u0J^O(_Dr2$RU;?*y*bDd;5R_
z<Qexu&M!9FZ=38w*#m>p;%s+76)SdwDhP8s=$bYw=qfT_HkCo@@|3FS=igQL(Zv#@
z^;~b6?T13^(Tz#dh<-4~H%vH!L3J((VWnorZc-zSowVbR%4J4%3Uch^@%dF*)^q|o
z(0`hS(8Edo5)OTZ0R+@k*tH4eS9JOWYla*brlxFe;Tl;B!GcD#qJh6SeOA9i74g&E
z2hdY>pRR9@@_pv4^ms&HN}UlljEC~OoMf8mE4;UR_tP^l=v69-El5S<<r8+GeZA|g
zo}}cYHXnC~&1>D$4`=SqEf;JX?wC>n@y=Gw2;itsbL`~5-0DE+PqgEOloHXe8hx#-
ze9F~x5e^Bj`P{XuA<PYHD3E`hHh2my6_Lwxlv?)lP2lCiI)i-D2d6#(BL1Prgwf3|
zKBY}sOdKOERc++pC>Q(2H<qh=s;^5MOC4;8xy=%I*}ocQAN&?{QlJ<_U_Y~t(7-Oe
z79xa*85^11Y4KIh>?lh;ohl-i^3xG=J35>4U*mh@PwAj~xnS{z=3Wkz;&D&k{!_LT
z*wcoqPrv-MZZh6t0{t<3(so?FlTDu{F`_Br4q=`p=Tsp=D(zq5`f4(j2NF1!zn}>1
zw*UT(n3LP2C^@#|rm*PODWRtZYGIeRlm6TUo9p%l^{&6g0(7(b>=ly4Ma-8~7Y1|>
zj@EH~K+gk|8akybN9oH<t??Jhi<}0H8Uu%m!1E0($r!_+i^QSm?^lU$cBU(ub}CzO
za9S!?<0bZGf!&SHo4v%E2k&`#yOi!!Thn+wpZ?$U7w?vO`$RhUYXB!*3;pA(`hR_A
zc<{@WyF{lAC|;tv#>Rs}VSo_ed)fN*J_l`PE3cQS46ZF6Fadf3XkrmRdy+W~ewA90
z^l$4czU}$6kqh*<M4u(U9N=2@#{-)#cMTUcO&f@WKdShin;>L>{V958hu9DD-Uq5>
zH9yqbQOi-fFXHqKU!~IdAe5rl{Sx&sANC&rmms*1`XCpUN53GxoM>}QkQc<7Uw{y8
zk1;KM?4Beyz(KI7vs>^o(!JfJVkSA)Ws%(K(WX?X+QuqK8Pyz7xL6tA{5s#md{RW%
zLi*p#Xb#>y#GeX+1W$euX?(m`+8eGq5+H}1GuI#0dz0@GAS}vbA>C@<ti$6x?x8iD
z*F@m0-zVIIZbKgV6AXTUvg%X+T$mU<KN{?)Kd%v*Z;eyV{?k#yuFsr)h8OJbbY(jX
z*ZR<-krt64gB(0=&qN0rLzHXN3#OKG9joij8&>|ZJQpxRnb<{g*a)Vb@M_CX3Teg|
zYg+LK<TEAmWcupIuI=VsIV5N;v<RtuO|S-2^Uxy;<rl2KDq$5KxFo~1t5m@RaWO?7
zrc+<!H`Fr31WRj>lEvS5u_(|;Z57KK<_1PO6gj1&ln-px2gHRMV&@IH5A0xM)@{%@
zncpz;mruM&rrWx9cR!U(_{gmuxpVVqmdr3n#1s&-^-edIoUvVJ4zdhSXFa9?W@S%d
z_^808-ImeyNy%5uigET8ikC^+jlLY%AC`L_QT0Oe60pu%D)wkWMjRtHA}@iFkd$>?
zp=gN&2Dd1c%3ab9b1GzwWom%HdBf;|ozzQUeOZ;K3HT47?55+Apfn|9ZubZk$5CIU
za^fFaUZ5XCKFjCIyAUzDi>o5&%lVhiqd1f;)MC2Xc_q-CuOD{|^XtvSosp0wCA-=*
zZC;AZg&{2g_*HQU6#v5<YqP#5VR96#1!YwlH<J8I%~h&GEA@k&nz%@lTo8Ent=-9Z
z2UzRX(OH`Or+qt-F(Rib&Wd?X{~Uko3;k!}t~4OZfeJoxHVt;x%Uq$JM;4Xg0juJW
zQpDJLF1CZQAi(cd*(#iCgCE4CKGL@V?-e>l!R9pR1MfX}-M$<rC-;l{es|*W8pJdO
zJ*AN$jWT-#L<*i|$^<#_Tj#DynfDL6-2qhyD04kqy7|8AIt*v9UGoBuy!`JTEX>>a
zqiSRBGSw4I<^AsPfxCeJK+k*PJ*nasJWqh_tXr~axA||q)lFa~OO=o#1iXC&?jzC*
zUZ#}aPaU3*slUr?V=Zgc<Mi2#WtK@<Q0R#F=-@^yKVV&x2x~eV2%cO0`e(vuNT5g~
zQa)D~dlovaDxD6;JI~UnG%lJZ)M<Yx65zAE|8zyULQ}nqH$Pl*+hJqsyx6Txrz$bP
zv<X%yQ6atP60Z~Z75s6nieXhxY73C;tZWNA8|W%ft>qg48aE4pnoayd{-~d-!Vn6E
zJq;VP?C1-g``ShuQ!VIZ`QfjWNir}k-0#o9JaYqoD-85+C>Z1vnrRoZxHkE%1bn;r
zDf}a4Ns&dYudh~JaKBM}T#F2p<d45<#nfLYLi%d@9u<UAl`!-h_HFhZ)St$sNfkb<
zjc1GuD_?#XWQx^lo~}7fCs6k*g;lSS(|9Q+jy{vpSb$;6q$~9vo!2%UNNQK~Ir17^
z2nMAD`&1fWjrKDY_{9xB$4^*iW0sEGY#f4j1<m)-rKEgwvemS2DZJy{{mMdR71ORs
z60{rnI@Ms9M%9$bKfS6B)OJP{n;4rCJF>dHY8s!+UkLC0mRBf+`LY%RA7SVrzxZ;N
zCE8*OQ(GWNhWBp37MGF{f6;A3$EXWpJURQy>wbHDfP|DI9c{sOo5&TgEFtAclRqq{
zBQqE9ANR;FgUxG~eLLHoiE<=BspPdc5rVDLY}$tPa|JL_+kUQ`F&0ui{2nr@HD!mv
zI>!>l5M(SR2<|74l$_z`f0{<%0TWE-ISQF8nG+fsN8FV>?hiZ%K6Ka`%3<un=oH
znQnLh8vE6z?Ig5gWsWO>7&x2XIb7#rzaIWxc@}4@{GjOAA79!xr}{))bG*8^+UU8j
zk8wmo=6s?MQI?k2qpI@U)4*hCii4{-Ne0=j`RK;{OVtb^_{L1v<d|@6U2k}XW9(&F
z2vo8_(q{gryvflzv>@Z&MAzSAMGD=(B`y!3Tpg7>{^;Bxx&+}@fA{hImJMIF|3gun
zaqyQkBGo<9Us_|&_d7S)X94$~fD3EsnRr@9=V;#zkIh4PAX%?cFUv><5FB5A&tk@a
zHN(*i8JFAI@HSvx<O|XCeV5(7we<O%MBx4Mzfbsk)%VFth&I%>Wtf41=<QP-za10>
z+I$J__}<+1oA)0@UGjEss^zsMBGgnNu@OZ|cf;%3SyF5G0s?svDw=_-EYuv{N#!q6
z_5H3ezL2S`@vnRq%d;~#nSFftU4YdXqLBV)$R=4ZH+{`1wub?tI>y1&9OMN8CJ=VY
z$qgT9iZYnqtH!?t^?qMjATh+C1C<phY#lI#6yT{(6QXYMklofUMbEX$SdLmAuf*Mr
zbPbglU!ylMI%99P`TCk)R49HcQ;BHG3I!105eL;MI~=XmFV#wEbyZ{R#)T*+WTGiY
zmkw4m-TKIW%+@BopV{hoy;=jaQ>3ilNBPEqXUK)cj>Dt01o<P+!)0+gZqSPJjb@q>
zMR9*|`=<h1FsX8$+7eT??bUeN$;j^{Z{AfyRzR?s*904kF=(@{6)t6%+Fy2>Sf83s
zR~CV3YSTDo;%ie}CF?Wt7a+EuU6Q3Vc8<#H3OFRQ%w7E#N=O}Kl##o9KA9&>j$<pY
z_@~NELc%gnb){P4`kw9R^nah}o8HM6en_kTz@jb7h1sbas<)nh_}(m``RV=e4fj`5
z;EYO+77>SMY<@HP>^0_H<*J}mDp>X1@IIZ_o`cm6$~m?sXr<1$XR7dNyXIvtH7I9?
zh|&%_yTQ)fmN=y1%ZhU*dWZ4vFl5cDqz}aJ%)NI{^=v@b?oRk}FUz#)1*4vBI7f{e
zTc>aty3Qpq*6c3foasA+slY?7)v<<&^1^_e>7v4S_?oShZ}{zd-adLe8OC~*-fNJ^
zmB&|u@4#rR`{VGc%*zB9hAGl(t~Q|ia+)T{_zWpr9b*3n{IHP{JrqT><VA-#`LVZc
za2E6;cXh5Fpnpef8)-G*B)EnU0(&Pq^}ns!1jBy$BB3v^3l6#m`4nnz&76w@7W&cx
ziQK`L-mW`>C^0$F*9){mz^U#?G3DpgJ15TL@WQL*Or5=eMUoaV`Qt$OS8)BaiexUU
z)L}14;rUK|ZgCOFC-E_iEnsrTudKf03qK7Y(#$C@>(>rPq^`5W_5vwCNgq{s9N`1<
zs%1|kQl!Uriq9=0Sf1)%Cj0Ggg;aP_7-co|UFA8E+duTTWsiW{M(~y$qm0%654vug
zaf+C??>hs(wY=v|`TRZPNz%~#qnIR6?<R{F0j%!sw<ab?fZ`-ez|SN!?l*_$QA2e&
z$_<%$r4g~nm7PVF1Mq}?K8h0y$toFmS@Wep9xhN8Q6O<lsLX$(LMr9&V{&1<%~~>Y
z^i)2=$D}~c1gtkA81tl=zx=d*Xrw?`Z6m~d{UKs`%Ejwwy=-TB1oj$SAEpV|*TIqV
zWmzvVujTgcCVUlZEM~WWZ!ZJ3R9tea-T5}7M}X-ZjVa4sV7;Ghhv}A9ex5Mz_PLP+
z_F(A`9s&+i{=_D>^~ax!U&;c$I#&wnVYNVrD>t_g`?To*P094j%kGLYYP_~yRNuYE
zyHVcvYVD@GrYc>ND<YM*>FQ*X>r30at69@{XkExhgqsulkPHTwZ~T?#ZDPg)v2`31
z{OLrzJxrZD(9gM_;!bm=RQki|p~X8(b$ccJ#%yM9sgXE41iDNateA$PhxWr)&mg+u
zL36_3i&EGWmRVnE6+=`KqF&n&Cz$ME47ztJI>;u#U@-QUREcjpaDr`~Q4&D>rwJ!D
z5x(jar4Jtk$&iR^rrK`_BhS*FCU?Rng1;@6FK4FQUsV&Ykk>~(j83!8R9q1TzJiTs
znm4G0rv{<7Hcibd`?+@3-J^tHzL%(-l4++Tor5>Ej>&fuQe40LT^)pT@Yrcj`axjF
zfu{U9)(hlXh(Q1)b!@+7uK%!VV7J+(tH}6)khDUZjI>YtU+DpXyY?Z_`=?o<)|V3U
zp_~19jjCu95bln{b^eEqkm;+z8JmNGkR6ad>q3Lk{-V+H{3qS#YO=g~(P>FtbsXr?
z*{-|~GXl+*)-vcAFjI6R>z29cZqcQ9!j|iLJNJ;IV6)Z;02s;VA%x_OJLoQ$jPc{2
zyVQ+61bMycP|rGL!DiYi-3k9MMsEypE=eZ!WuEe8Le&5ru3K-fajgB_pMid5$eJha
zxQt%+c-=~cHZ^eZ-W$6HH5mL|E>>or8UOq}Pyl{?>!nEQ7)?k3Y{CM$<^5NxwmMfS
zLG_*h;@Zd-&iCUyM*t$Y`|GbOACotY+i85Nx3@sRqeKim<z|GyOwo8R<#s3FBnH^b
zdCyz!|93Tu^s26Q^Iz9?TTqfJQ{Q`EB5I5GJ(8Qq;`;~b*e#+9ZC%CdaTU_@P~m%M
zast{9DNG-OLhiZ>nSF11byONQp-ROJ>z$!jP0ra^g;$>+JwO9L0O#v9ziss-(&EL6
zK!E(KV7|G}5>OMJh3Y(Zk~W0Skr%lf%@3SWx)(2y+m+C=T@IAha2uDPj%NpE#QWq|
z-(X3y^*XpMmLYl4ay6xX$dUO~b4J?ZhaO{MIDdB6xHxN)813YPV|5OAWe{eB{0BiO
zEnP=<HUSyZgS$8^YV!*F5}P47;T*I9_&N6(l6Z1-zCs#a8cKy(SnnLKlljs~F=SMt
zGPeptlJCWJx^6pxanE6aaZGjI*k|d3Z%2O;EAizt{v=vME{^T)8Z<so7LTlZAUF!I
zSaVtnb;B8G@!Rv7zSPr%_WjKUi=5X^Qj~Tgt+!>miM{F0Gtkws@yzU<%qnnpsoaaA
z;7og30eR5XP;9u)*pzaA@y|C07DD27DJXGZ5v=MIkG?aCAA9=kva&#_)?ZD)eB+%>
z(d#xf>~Zas@?1`!ip$tSzIhqm%crqg_wT7Dl`I%JvhPc10_#?izH*EsLML}rL+weA
z#cRC{B+jGhy{q`aZ4cpv#5i>tM<<SpNP5c|4_IKrhPgvr)y%wMd{?Cx)QMb^-Ih{^
z*0{R22zlY!GAAVH(9FhnBYYOj>9CKJ2CB&FliG3)!n%}Ff#>?3WD+9K9`aB#=eZ6v
zXnRWQ+kVLOis)k5=+sOvIw<eg$IXym*z*2|j9$Wh!cHpEBDDGUFGqguiOhKv99oH$
zOdr?j${3tBSiW2rwJ)Skstarz;m#v(h*r#8>Mn=x-{a|JbyU_V|KxAbe!x1rf|VAh
zD)-3Zn9Ir-v$;#+(=nCt#fKH_%#folwG!Z55~qE1;guk%nPh7=Gwpu^KV*U$#9vMY
zbb578TyMQ~_~9r8t@{|u?|0)slMFKRHqLj_Xcl;1Ak|(buR#94T%>5FNLtDfbGu&t
ze}iheh6I?F56_p}sus^=|Fu=V!C!p|cYSFKH6J|yDnj7N5B<8CUIs0-m~~vUC-B=$
zq-~Ta`!3m<dV%Q#zk0Dq1>ryRK`FYxMmjR%m4jL0WNrN!gr%rJD|L`g`(;U;@F(Ss
zcGl7%WAQu|bs9tEnq7C})DJl_(6ybLEr$Wv7)O5Cjb!0HT&H;aqxDzM2lLBoXyF^2
zU2FT16t3DBm+0hJJD-%voH;HBp6GPR=YTyXSBU~yj=t=+T}E;Wv`|DH;>|5V5H99Q
zGlONXAxN3iSCtLQIQ1b_t))~eE78+<!6bGKqCz|kkjmR2&RNZ^_J1ZQVo~W{yzMma
zV|*a?5m`)nZ*Q|&*ynGjUX!FnXqy}5RnSC{N_(m@&GDhH@j<5Z4eqz5JCIL8hMNon
zH!bI0rXQI-HmGZV%Ufx1RLO5Gx>vG2F!m*iD@&a<nvaB2vOPX43voY5ves4w_T2Om
zoO+azVnN%csuU&s!a))7)hRjc1oZ_h$5jZI1dTi|b!0JQ81-bH#23Q}IbC!+vC44C
zFUrPzd|ujLAE!Jduzx*O<lq1uVpFh*lz&HA@wQ~1$yoyAsM0|n72YBvN*#35`Jg*D
ze*gI8Ou8IwFl<EjhRi*#=#>@3iiK+?g}dhYyTMJN7-w*jn*g|hTJJ#2*dzS<heMB%
zcw;upFgqr>5LH{CGg%U5`)o<Eeww?U0T#Egolyj4ogSwA@@`(>A^NgrS=q{=(#d*B
z_p(T!q-k)U)tDzU0lfZ$PMW)y@*_B7--IoB*hxDEzq}I_6oR2kE^_?vVQIx1=_lnI
zBHX$aYRjwKQlX;$*x5O^Ic495eafh%Gy7ug?d4L1%4B`$<XH1O+65qf_<GlG-7nHf
zGck<}S54h(<c|sze7)njE!gK9lbxhG7nB~n;ADu{c#daJa%L<tcZa9)k6g(anQA`L
z1wIlLu9F}`_`8|wfD^~rlFWzu^`_1riV#dz*4dI({<%ibtL)doWOSK4GXY8}7S2hl
zeu!=A2$MTQbU#CP;?5?UX&YyCHwgybw+bl>|EP0#J+F5*rX<&Kn^AV{cZr!&hu$og
z^Zgr^0s6x%;k1umZg*p*=)L#65&zR3AcatKy%<unTX`bl<;F;#`nV9WS4<(Xk0GAr
zbGcvAv0uC7+_KiBbDs=4(F^Ny`1rFAW;PRvTNQhb#||!c@nXlnGwC1ovT|xuPSkW)
z48emnAkDwGc3oBL`gkssmQB0zCS(?rOKLfmN>8}HF||>NDtV%ydW@5SX$8UN&y)u&
zFj_XtD<we^7NG@KX~6-m69x!#km@8mcW$*p!e-5>3m?bvz)7;{-VnbFH73Z3Baz3i
z2>s%h;vd>-&Zb?uuS#?27xNruZW_8brZjuB+#zFV=DDeU(EKIhqqV$Ij=>7ApIym;
zqQCGu5=n-c*-vg~kvZZ6XU&kAr6@iWa<cCX`|82T7R#l$G@)-a1yCpzXf{vCA#cTm
zORPpc?gi+1iHii6p;uQ<Ci%YbMHQvj%iY+_&MOTe6w#k6=UzFEE%dFWLr;kq(MWNy
z^+h?ySdF3|{ovwqQ9Qz7Gid?5VBUgKbVQxis5O7ei#v(@sk4JsFE}2Z>S`F|mxH^u
z7_h3?54%9Oc1Q06L6v$MRBn)(V7o3<^YkPE`Cv=!8d=U>m^>QPUP16sGFlW?->TOd
zZ!l2lV)~F#d%Y}rt(~#CwLVNj9&hZdi^;N*sg>rH8cAl2oTKfLUyr&MO(vSHCoj&4
z&-Y#R5VE-^3aj5Z)TRsa`kYW{5h$OoGvd5c5Gb_^AF<hFKpWWjLV9JrCOfn%vB25x
z#A=V^eCzshS0kTQ^?moIlPs4UrkKXMDt!A6E2{;|dSiP@h-9PeSNkg*oN0J<s<TUA
zHmk6D+K6uYiAAjuQI=&3LAvkbger@u%uU8fG5r4331Y#~V<*~MTlfYkm(wtT8U@hG
zyOqLu4Om1!FlHefAUl^gO@$qw+ljum607|JE@@=dnA~SztMD@_&yoxbe&i%Ew9!ey
zt?y`#DezcNk0~cRdxbO&AXvP9fCD%T&n%T!nRugBBt|q>Ct--=!Ajutc5_X5T&QUF
zk$gAbQEle{N)hOS2B#P|blS~$!!~e)@c(Ibr&*^)c!z5Dj#YYrE=cBoUC?0Pv}?g6
zHJwm%=<SK)ZSD!`>U$$nD)laR|I^dm2&KiyM<hY_<Xs`|1;l}2zpBfQ($9?hH<1%8
zg9<b%fvJImM0>whIh8%zB#p{YUi@OiC|SjhMH*cM=<!2knzrVI0wFII;2x1`i5%RT
zC_k_p4=G2~8ONoG7kz!u`c_>pRRC~tym7Id6Gto;vdELHL(c1R8BRmgq`gg_)mL-p
zR{F)p$g|qCEFZekRE5d)aU#iU|C@2By|G8_QPXS!hm2hwb7EhHVjBwV|7xCA7+{3#
z?ws?(rbG&dQUkFX5FZ~KrJ+C43#U_(^uYAFNJ-_y+}X3^Z+$ngqf45$wv?N+xFuTE
zl5-6e6}On)L;2?6%}zd+dmX?>#wuHwwx)9rb|$8$T)6#g5X#lJh7pE5>MJxVh?M;5
zQggGFbIMx}E3wp`;evPr6FV1SHjCJqVh9g`1y6Fg3F5bDX@4WLc7-u(6Z!I-JQ=Dy
zr?0?2JCMuctBVR$M@qAn!*Zl4J(&B|&I5HV)@{?H(RJWB>q2^VO5^CSy;QySSLJ%N
zbs1}PD^Oi8k!<b4`<P6fcG3_fO6@RC-oZ1Cq=^8OH-r8{8T`zabVRBNMa>uUH&wY{
z<Za8Q{UbI%O`~!Nh6eReY{rbmLW2Qi$g*bwPI7MM@I^r{3hUY2ylqG2gyed)`Uss~
z@zklBa5g&4Ec`4=(XMe|bfj9)aP?}63F=`3{je)q^JKn7?=q7gYHI72G|g#n$CoHg
z8p}|47#Q3(lwLHsbps#TaoAhJB!I};%m?@9sAGcDZK$+P?OwId%;gI<?8h(u32XA@
zw52!vSkiG1wBw44<ISc7ky+OCT4s`nJD*oVObX{Hii7d6uUcDjYN*BIok3*5FY@7<
zX2Y+<r&U)cQ?%B9NHR$z)G^dp<8ZurG?(m5GQ3%nRPM;-@aA|V^^thtU+BQey4u6B
z&1TaK(&9&lG1=a2;#`k5m&ErPmx<`zLMWZ=5i#*AqvUah!|qJ!i}mYoSe{wj>f8;%
zO&*+CKtW~z{Wrw@*S!Qd&T-&;`$$}SubBNl0abu36`tkn(RVuw9GnjC*;ri1hyUVd
zS1hwNC~4T1w=>W3R#|xXzrM-FEJ#Er9kijD_>}wKb41)G%<WHBc^CkZoKEhx8v?-a
zaZ77Fhs}eUlVm!&aq3*m7VesmHnz-GmDE5A`887GCB=^490?fJU%}Haw;9+d%C?J*
z-=aw2r6ZUs>6-V!zeqM}!H$VJj+GYbehnN746qHOrxvFYdYy!4KLl&9)lN&d8_c&0
z7NPaaS{-zj4gdfT5(y==89b<A(?Ot2jM~^NTs0G6&X88(D{Y6(9afo9_Fm4^Kt_e<
z>qxgxg}^m2$VzYZY0iq?^SGOpSCQ=4Cc~>T#LWO~B}PpfbGRop+9+%hDh-r+`@_Y{
zz2R|fuZw`iA0+J*0G>;%m+DfslI$-jq(2{5-wqqPyJmwq+W4zr^5Lam%Dw*>UaxLC
zS-JeKlftPJl`u~;lroV+2Em*SpnRAY=I<B)0W26(-Tl+Sm0ud&x_%#W0P4}HbZ}5D
zttOdY_Gis*buBAuPdK$}NNnh7SI0V?soPwZLM{qwvEodn{d^Q};Bp@@*kJ?RReuSG
z=H(La5f6NHN1y7p@eh}x74OKFoJst(uC<Qi<!#3yajv=@a^T~7y4kwn(3z%b%K2ct
z(<Ee;MEGjep##J|I852%>$KSKdI)v;xGMse9>KWSmQ2*Sw#a1Q8k^S^2FBDliC>QV
zE_2ywW3X_`$&gk#Tzn3g(ElpiT*y7-^EBBf+-(`G@@$Y68jbJLDNJ{!JK28haGn^b
zKBF_7vtVH?PS`*x>?Xi<sOBGw>y#n>3EZ^-0qqZJNQdkb*s)IuN^fu@{i{Q){O7KU
zwAxPr7w@n4jN0xvF&be+D_|8fp2G{Pb$fx)p_j$^kCLN@_^Q9+(e^Cy8fno`9V_|?
z<anjBssmfrn!mN_p1~^P`4S$WAotghtQuIObn|ft&#~S&65#jy7Fy_QmGYKI$RAx7
z&FbrTGo^L6OtIfuU?-uTVZ|KQ3$&GA_%@GwMq^uK3{NI%<+BhWswR`K8w>5tEq)eY
zT}O-gQW~nSr<=BnA;K=apjAP#B%ZB*uC9*G@26b*XEPvxKmGs0=-JK8A2FOCdDUK@
znx4Ox{a<mH(QmjGytSFbat?$kP~kn1gq}4#wX&}M;<$Lbj&by_RoagEW?l0`H2H^h
z4W>0^RCLf<5X#oIsg01SkYb@=uVho6zewbuI22Rb(8sW{6TvQUWS=Ex@*G%~NP6ol
z=x;L*szwhQ4oRU-W9Tt=XX=<Bli7MIB~90lXv$ElI(ZL8lI4o@mAP*!ViE5?+v+u=
zYwn+CHp&e|uGJSbtU3&ga+$$-IvKLyJTuK`LBC9JY2yR#`3^rO-PFL^b{3nQ1Ctz{
zMjJh+9;asyp{J6xkyCdqUSOr86Rk)4JiE!~&?xX~wsoq#+7zEh$hPA7QBR1Yw{DI`
z|F_Kt5D;1dMb2KY7H{z-S@57YEdySVfnF`axiLt+eA_|91<V;mJ$>)$jBUjCLlPX)
z*F@3NNvBgy{+afj64TloviatF9~i8+e>>jUB84}^sgn8>0TSM#_r9&!Nv6<8la|;~
zD@}sz58JP>PtdDsB!kvjQO4*{t#PGG5gpALGH$0$_DP(l#yyig5hd^{G-T)#_`$=B
zSy5}0SB_PU%`Tt5r)|?#24#iawk}F_RD*pJ&=!XG&C_UVXHm&Qs>)`z>gv6S-EwCP
z#`LwaQ{Vbz#=2Y_f0V0iyBj;pMN+N+yA%fqEb&Xwk1xI4>_C702VkRz^+%)L@NSEj
zH{0(H-%)+Y2OWw<PGRr(RN_wG>sI5>(c3c(6k95b)oJmygXv`GU5W}VNB7xmfuu}@
zznr3{ZITWTzCmh8wudWsz~e@abs&=}Y#BqNJbOQRqpXqjsZzBE-)#G6MtmH-m2nC^
z@@0&C@*Hz)4GvbQeAMrRT(!2(6sMX&B%{YN_6+uHYPIkCAdB`28S^?kdrqj|U++Oc
zeKO0mBx|}4$(|Ma&@OOL`%b-{hlM!fbsgJwa0bRnALD~?FdwoxEb9i=Eb{Kq#4r);
zWg1hBAo`k6Vy3fSyj)bX;?2s2;R_-`=@Fd*2$jX=-Hw<!{BmEzYv=Kv$=0Jf$MB5P
z_yuPx>gSWTHzijJ5C5k(j7=-uC#E3#F8{Cl>9SE?5N_J@)eF43RU1Bp|5N66&x?Hs
zO-UsBQV2c)!rpDo7s~`U@1y~A2~J&BL>aH-f50H=t%=2>XjP>R{>sm5Pon^;K9d7P
zPpBc8uDs1CRV<Yv39md$xg#jqv2Iciy7nvz*bmNX;jsBRF&=|d=C92&Nu8=wRG#-V
zCXNY(v#{&TG6`wcxcq$~Ds9oA65+4s|3N;vZphW!pz66if4Y|O(&^mCg`;(FD2G?n
zBb;D5mM|S<>Nr+dy`lK4A^trF2%C%gL};m3=~1ye^rDVQfvmA9SAjsL`E!ALTzNYe
zJGzD!{hGhnQ)2La`J=hVY%W$Maq-#fC9)mC@Eb3i^bOFS2{-3F#K0!X^k_L9fer1g
zik}#3c`+aQJXuQYFUyA@#|0fzVIKx=$xycIo$a$X<VkH~bCpAMX2>+(inP8J5Q69T
zr`M?kJ8JQpvvOpD`6|R}Fp_aTr-Z~4-c{`duak-DP1nN1Mum@>RFl^}A`?v~BU(0>
zm9}gmptt>1^0pa1Q(}5e!f8DHeUpER=rDY}tkGbR_F5mm(n%$*WE-r#RJEf|W>$zE
zkMYtC*C)k~o5I;C7E5fJMM{hKxiWP%I`+c8B%a`)(y(Ts*>fTpGfknG;WR}<k?AD-
zL4(|7uWwB5nH4OCB3$hJ*!!&pp3OqZ8=MO`IBGhTh?14U88Z4s>qlJyY(%Ph{_8D+
z`OA?grFqkg3a^sR-g}8Q7;cmC$$OECAKePD^R$?f3QsJ9ixZ;x&Wibhtv;rF7QYF!
zOeVi#?HODVQ%_%gl8M##)1Tsh8B-B1Unc^##Q`Kh$EqJLifO&y9HN%TV1%_;N^o9#
zt(D29=S8`VMq0tC<kCqdSK;ahA9cWemC&i*YJz{LRG=)jPYjCaXedHmoq!WhEk7jm
z3BmOb8nMnDO&~cW`8?W6x@W_non2f;#Gc}6dNpaH6(Wr=kENH;o-W#8p>LIZD~=Pv
zU$>ktU30&o=KR?gg+`gYaQ-zGb)PT;@#3qenUOr(y6rb!cLhnuY7Pb}9-zfn>#MIw
z<`2-L|B;PK)p`=ytr6btFu>Q_xdyC>=_Kj_YuJBLazE&0kYMznjm=#{^8Xi1O!nI(
zxw$$z6%TG7;cWsrxqMvNmdjm|a<_RY`t4uVVt&uM)7WLxnA=e2{{P=<fN*E}CBUQ5
z74f^R5`Vp1(Urd36_C8#t^IQ{rCAL?0KI*E^Qx*yKYsj}Cho&ADt+l}>bK<cf_?6c
zC)h0e<Cc1&2#c{oXdL`=hEC7eWQmyBnh55B$z&97nSR^nzfX@<8racru#kj>v>y!s
z7+x+5L{?ny(Km6i53*4vk){=WF1BW%+AqTmhYMbfT&?zwHt8f3mDopVE%?S*gyuCq
zZv9^KfF494$EV6?=%y?-u~ryD3*-%8kgE@#)uPSWc($UUn$ae`*h-9J4s9v#lDC3=
z{qrLq#QH!phw^KIrjs(kk<I=~w?_Z*0GWq#q6FR?XX&MpnA$(H!RbYsNaN+R!xe+x
z7xW8P)IMQwb6JM78zcjq#}HO*jx91M@0KUD{n?#tYk5euwtD2I-R?D~T*pm&%zu<(
z8_!Try67}IRRnIwG`zU7b;_4+n#43I^d~+?E&(X2Sv23IZXM}ktT*Tqw17vOJz(Yq
zo=-YMSqbv<$%fev8xHB@ZbR$rPeJwcRX-Z>Vj3moHk$^gR*H-0i3qN2zlOF3p`(Gp
zG5WPRzg?2}#-V4k`U7SFFyqE+yzu6$pi|%@vzVqZx(a%&Hzi2&s;aV^ClunUhJ|&+
zvN4lVpDz>sPi0>j7G>AAdm~CHEz%(&CDPrBbO|Z~(%nOM2|R?9NHa8&lG2SJB?3|c
zQj$Z%(9O5T=Y7AukNt0Rzz>*V?iE+9YhBlQ)~NCy6>2L^2$#l`IqTrh7AQybXhn=(
zsUwAZp0s*JN9oyIu(w+6xSCJ!<i0wp-<XNZ&_oD*FaE8iOukw^*Y|j!yoe?vHL6>6
zx9W74dhAVUQWx3&1^bbu?vH23)0*R-%RUXD!cxjaEn0RNrZ$)rNv6<A$iW&N6HL^8
ziiuKbvqz%}d4(f|tdlmm7#+df`Hb0QVZ&V`-U5&2mLne+r}Awuo4d4S_~ER~UXm8b
zoH~aIF(#M83$zc`HjrGO!!*+PnQxsrz3X~Ah;VU^NZnt-Z|r$|L~-e&oX}+1X2I?(
zHz#qDmDDgM{H>U)i?HzEr*I!4Kn43q<lEH&h!x8xvuj)EU%@%$CVBkeUVdefBL}x*
zgcEqiyv5Xp%qw!gr<y+*&=5LEh9uq+^_kuvHszn1OL+I9@KffmcHGa}0KTgj4ZfF`
z*B%P>EeKzt9dw3LiUHKZWJ&*Pg5y^Nvdl_#;7a!%6Tczyg*)hWGlEcM`3#|vMp?`h
zoy#2?Ah_&6lV#lT?nQN$f^NBcw0@^_Uf$k>F+IZ*6QK@5k(jhT1S=~mYa1IK|B&j3
zy<p*U2nu|-#sB21MC4;qT9jp=MHK?~8k^Z*zNgX`ay|27#d+d%dx!3gu45O+&Ft>U
z5+HX36^suCg_dw!TwMM%ATm15lJsgPHd)xiJJy-CWi2@S#F!?kAG>z4e!Sizmbs()
zdgSFU{*II0TayiGRh2vAHjyK+Un}AQ8wP?(OFs#ZA0NG+Wz4j}i?g-0CqJs;EmN#!
z1En2`-0Sa+bWFe6diR{kFE&Y(<ohD0*`12E56#A)hoEOFEKk(C*0&bu^`I7MUOX3V
zfqbfq3zEq!MJ+d8BCtOOB$(FqKg#(MK5F>6{*E)=OT|jD?STpFq%~D><j?HkN@p>p
zP4&XJ%bHAjx4K0G&-TACwmemZZ<sCe%@_Nel}^U{oXN*DZu>MKe_*`G`RvqLi$hHt
z2Vlwe5qRVJ!y3kmv`?lThJTQ=(B7A_d84}XZFC0;Sg^1%<xxKGCic;JMUBaU<h!M*
zO<&%lal+N7*Qf=GqclIN&<Qhr;1qp3#ut{N@i9^)IautaVQk8|mPj*aay(yAJ`vK+
zT%(>ok%&Xq<Wm9r(#n@guUB&lcjx60FD=>n`tAyXyX2CV>dfyMs;_rQ%CoNj=@~gi
z9tuJqI1>46I(nBuPaI#t{nXW&BiK_W?3$tzs?%iZ{;p5o%x@5I?We4xhjzuLbA{!f
z=0$=IgJkAPT)BjW)BuXjNky;>(YE<V&kUX?`8o;lcFXIF>{i34HPc(UtsCGr-b_>d
zIV?(PW;XHAeoL_G{m$@vMr!D;<zTMNx>stcvDI%c_T&89@SeRxhhKKaRx9;-P#0Pa
zO<Wl~ozH({Cb8YJq}=Oqm4<c<gT$b%zx9l!p?JQ>Id3buWB>K?MQ0CttkqF#0pqIa
zCO`T{^B7izFf#yl5RIQd@4-mpvZ9LKr}~Fku=F`=mALAYPo5s#FM8e$trySoU5ixF
z-?C<#3fI?hta+0Fn~ul6_rSGZD`d*2HdtXOj%4bTigrrpZSr>fPys-{+v5s94{hNa
zO4pvu8Kdl9?S5T$ZNPVIZh855^4O0;qv{}D$V#;S(|n@}e96VnsY!}`Gq_V=|IyC=
z9p4W^tH~z&D|XYh+xhtbX65@$sqP)nLOzGhi@H|^fB6U1o8p07{Kyabz%BTd$w7N5
zmDDnt?+1^QS@(k#?E6eOMrxpaWnX<%z!Vq#z#@hk6dMAqB>h{>D?^{~)POBq*lban
zG=wC!eiyUPlnC^{p&EGhU^mAwC?Nbk^J4SC;B>)p2OU1u!?VPBHK)v|bTh@-RH#pW
z<8Gnt#A{)dw`q)W<Uw;ircb^gE#EUbwWxn=rPeQP9fw(LJEr)C8${8!7A2YPn@N29
z>{1}V=%g@9WR}A3*!a-i(CJ9Aj_qne137s6sAu=Zqiqu{;^QPyi{<{Rh|~lx%A5yh
zJTZ*^CRd+9#xXap;<3lKGf<A1sMonHp<8UQ@G1|69ap;^76_^iDIR3V*~3hD@`&JU
z5zZAqf8z(|uk`DZ;6r9^8*&X%pNxFO>H2wQh}!dx(DbPN%Vm3Z&&m2|ZDyY4WlV!u
zTR_@`Z?IgJ#XwIBAF_--G}2XJwGB_B>fb9Q)T5?mF9wK+Q;n03rdp<;f@tbj^5r1O
z7x{IKu?ZLIKBDyPV%to)d{>uYp=5nmb~{IF$=A;`YF@o#%XB_g&)ibZp@A3byyl@H
z;m(jzaCfgdy3J1Lkm6Hj$ZIF(5^4Q3T;Ky=%n7r$d1Yj<JPE=k-z3NVy%&3v_oR@s
znU!Y3l$qH3001w*7bFe~$Y=dxMm*w~%9`&yIcFDcI%w8S(pPaSj(n5dSTM;SR7ru}
zw>#`X&z<lYN}a>qQXUOr#W}<6*hM2$(t9k~zl&)xdde{2wI6bad!cE6{}CzTKhhZ3
zv{RR_9~Zy9LPD=3o=1B*H#XZwB{r(;WbBRWZOJ#*8aQ43{nptRnpX%4Z4$lN?%b2N
zC0MfeOOq@x0_H!m_7><*xEt;lUQ6`zl<ZQp&AqJ)x48SqB<b~L3b+@DSS!=sdE^xs
zEhCq_Q#n|1&Qjgjgf91bLRxJjEWfCwn`MeLEwSWj+!dq$JaMkGNr_x~kAuQlXv?8S
z8E4*aCOl5MK7l09&%Ab7@qNF8Y_D}JQY`G0e){|~q<v4D*n_5s`bE{fqlyOa*he-5
zNhb&UiS=GINupMgW-0b<9eFglK6+x)FBx+OGnvl&6nj?=Xx$=Zm>O*&Hszmz7H+h<
z=_petM0y)QYZTk>WpHTFZPI!VKo!34iw1U*AsKNn(+{<Ob}_<Vamte)bEOWx5FgzS
z81(zSjqW9&z^o*o!mPzsJf}O#dah#SU2r@Jn{+i;;&9dY5Lp#UTRRt@eN5NIv1oNH
zRWLPnytoCM(;rz>QRq269X^%o+_)n|K3!ArC}G+6b&q6UvsDpJI^aD0otS=<a3X5b
zXY^ob1m@Gc7-Ggg^^(+|`vcb)w)Bi@zs%$^W4F)jui6AJTOK0E;^_=C!FNL51W}*H
zy|@L`BdfxV*@~lMD}8Svf1UH!8!qzQz7%jdl8x;vynip9+UF9D`cmkNMAm`X>9=vG
zpb4DS`-sf}oia>YVcsS<Hf7LI0*@6?njzD(m=a6jd2JD@j10z3in`hXK>j)PyzMCd
z`jgcKUqs7`r3nVNEwd*Fhd83$I077vkMgD5F1XEix+x!Hb*7{9!+Mih9pIn4%Vbh;
zL_<p_Sp0CS^CvYnDmS^_cFz=v|H5`Fv+lO1`Ke8ruW-cIIU>*$z30Wnj=wfT`lGII
zB%@D%|Dd)M-|y;J+@>Mqi%qlBO@%$?ZsycbP|*?E?DEo3-RuanTjuHs@9an@ds8?3
zQn0_4!ZywI8t&S5;;g56QZQaOxLbL3^7JYy=?VVY_r`N=nt(oId{bWALC_7|KUAvo
zZv7fkW%>NIkwu)PU`j=~N-T@{>uNdsl>yJ^K@*Lw>vVJHo=CINGb(PA5n1hLy${z7
zos|XVmv8V24_;jd3~oN!O2j7;$&4A^$DZYxH{Bf9I&X-7giAl4e|y)xW8{rQkJ@On
zut|7CoUsX>1T2~<b~eKp#yCXD=gfHG7e*%P#!eJ|n?4pRXLyFP06+^Y0-*kHgmP5e
zfA;HU-6-wbu8z@XRls$vdMCh6=JvZhefRio2Nw!o05mu!#frhmYVg-k5MOlwO4C>W
zx{K7{TZ%=7uwhGdG~VS3r~g;~%O3xSWH^fjl2@#L$5olzZseQrJwvXrkPr;p*~SMl
zGBQot8f2=6M@QMMtu!hsDxe3G$^*@)H`Z5RAM2lIWW44$s6Y_wc1WXW2aD_~ZpXXl
zJCY3eQx*(y!(1?s67kbeSAR!)`3F<z`gDog|JvvBqU}aBT4aMI&3mWeiet&C!Hw18
zF&o>*d+k`CDk@$aPh&|RPxXQX=mVl)!uNm*%WnCacmIR001tWJL5TWA0IIEX>)2e7
z!23e>yf8Pq!?A}t6vbcwaME`DO5grX;{-*ZAWuQtN_(NN)b6g`!Mjhj0;ISuoguiG
zt}TC$rdzZqtQSxvjLvW}eZyrsny&%{1O^78Sr^yqa?E&bmSXxEKis1IGA~Q>WeD{X
zJRFIl<}%HU5(7WVvYmdEHBT2Y;%o)(=}lyBGs%o>mbXQZs*2*~TP=o4UefK<FGUAU
zO8>n|47vC3<BlJk1-4@H@$(zaHG7^e(cXlqzy(-6j{w}nUcbRL5vi^Nn)2v#1qE#T
z#`S!<t<t|2jMCx%&c|1#6?EK0MMaSb+Us7!3P!^_I-Y%7Li$L&gutJuGCUTsf4~J{
zERC$Fd&v$islNiz(Mk{CVWij+I(Ub~g6ihH?xC<RbaZrnj*s5~?6Ld%PCrt3F;UOv
z0M^z+EF*iT?B556{rADBvK!QTp}vjC9?~2Vc60ilDOsi_-l&o3ySTeAy~Ctw7i>l1
zDrZViOJw46B;9j$b*%?P3COXRYPhbX_zE2hT!4K@;72O|J-;?uAYekk%pyM<T-_~t
zWnI|B%(YBK6#P|Y6}OYLVGdW#bdc){Srj7H=PB*e61^r8XT+ckeQfUye5-ZgpUwp-
zrntVFZMP<)swv{31#OG;e|l*Bsr1X;SsFchE6w^z(p*LqENyLXLmn;qrd8UEaSBj-
zv**Fy`DS@;eZ2>kH|v(vARWkvo6d1H$8OH<Nw4BC#0-1T^pPGC1{#soZxnz2AkWC<
ze|-tsoqpn{C}YS`yAu1|T+Ev+bw`EuEQLL%pKSKzC3&I)9)j#5b=<C*z;jf?#|6cm
zC~6Hp0fC&xMvC&*bGDpe7UN1X8s9^8Vq#*$^^v^OZoyXWF}(-142Ta8aqxIxWY@h%
z_8xT3A;2<=#V8v+-vdav-M0<(-KNY|OY7#WZ*iHO;7ZN`s;=2<Kk%g0lUYFQgs)MK
zr+0mckVN!cfHU6Y`U&9hV!XKkI6nfn#feLLg&DDef__kjNIJDp>i4D@netE!F`NZT
z+(HfAZ$B<GtGb%F4YXSWK9>%At$K$Ad;fVP6Fwwywj75(n=YM!I^jv#w{30Q8<_xa
z^kMrHO5?Sbb*wVU?}Uflam{cL68lbfH-wbOf-EJn`#_%NryPVLBL<TO5hYE0QWCza
zd+=5Jwi}{<%GM3bo98^d%NPYnj<(z^*Ypfzbv##7pnx~}o-0{LDwFOgL3oGaY>_H+
z$HY(JjntQ2^kl?e>r9gb^k5!WM-z@4MForC)QAEkyyyeSr3suvsr)u;B2HKpUPsns
zA!tytu(NsFk=x}j04<-9kr6Z^Xfz+|EKlGT11LrComxaaz-k=w5DhVSO3`-n2?{QO
zrtWt=OJ8YkPJ6(PS7hD}dV0A?+6F;X{+GyP9<%QRCzdXwBO@O<Cw~1pej9VsokSQy
zi&}#n)L@^2!IFZ(s>*J7n$m9IVO=?cZK5Z>y8s&W+E0;7s1^1zB*WlnyL76qt?k%$
zTdHfj+J50~HFh5_^k8K+Z~RXi(kyu4pEPOE#s_4Ay7y@34}){aaF4u1%<{eShm{^k
zW6RXqp_`V&5hX=$6jV)y|F!22K&U)_bA1wO`B_#nsAc|qDTLC#-FZkH6FLPPd!bWR
z7PP$sM8WEzY0@2*(yO=(U{%4H+=ww#Za+W*#|j4Pi4vT{0@eVv!WGjpYg`{2&Q{?E
zux-DqO@pQ4&t(*gG}IJ8dYAhvwMyo_E(Kd7xqLqSUkge}0aUh;Y#kA+`xP@>iKF2*
z;33<Q;52ykDxULZO-}L|0MP=FJ0i;IA`fEapBKRu^Y&M$+l13qh0+Io^>4Dj8}8KU
zAv<ZW3EIxb%OMD$LkrqBBfEX|lPcWD#>STW2L=YNT7~WG?dMi_I`)A68dU>ks@TvU
z<g%PV{KO;QA6ORNue>Mfyco`$3LS5>QQFsoYvm_e^{ClgAb?&{ZR}7vJ<nBtIdO#6
zbJMt4#*3B=+9xq9-8(WK0&UzP2P=ODw9ztFxO2_0I!%t=ku(^+eL!$NvT3)K5^_MK
zyDtJ^AqOks1*{9ZRs{r|A6=#7hbI~MkwXsW>jkvct=Q-&-Np*N3pCFQEX_XoYsB!2
zHaddi3?Q)lH*WG|e!w|O_U>kakM%BWa+W_pNZw4{HndJP_d6Vx1EhrjNPOjF{6EU<
z_E#?I0nGa;JpdjL0+Z&*-4^=@t^~Ql9OnDQPi6oT!5>WNnOtc&ijtzrd;kEP)vx75
zpsXHxZ{FPL#r#b)pbN)<9DZqAEX2Q5CI4P_cN(P^!P0kt+2sTS<sk=V*E}^}cr2X&
zT$<Q7;nvOji3X(2$db{ZVgp=UTnN&eP}kRQojw<w_u&QY+^a#uHPWfw-LmYu^#s60
zK~6jZom{|vLeRnLKqtyKE-o(8ZRJ5Ii-dVMMG#cfcnOMuCGIt@&X6PO(j&mY?&OMh
z^7g*4-+Y_9br&<F(xk_@>-~fJi=8Iqa-5nm_#^<BmdtH}!O^fxr0aimMAYYzjM}q*
zS2+V^-?(*9_KgGO0ssB(gpi;d?!UhQulWBsGyJvxeG$ODeLyu2{m0WiCByiekpA!M
zIOwP%p#Q!|5Q2s(Rrv3VSe+26#NogH9BlOW_UQlTv6FY^FINS#tteX024HxuZ-T{_
zQQ;Y=DW`Uy0nTEI8T3ynTc(Bp{Hp&nVQk$2Qt#QD_LOW8jFhXSel^u5%Zfr#NhwyD
z>BOT!A&v=^H21$g!>n)@CgIeNL~SRm<>(ihK~jZ<?Q|_J3YPwRe?PKi*LOFo)SWA4
z0`(Ti;b1_plPmJ;PBDli3W0CzXnp96VN?&G=0NQ`fMtdPGBRjTfUn-wKc-=AQGnW$
zrJq**?=xU+diJ%QVVRf9%)n2cF5vrPWe&Oj{3V*)v&r2<6~sFzgszmt(bb7BDR!Fv
z0NhKPfjLZ)nhrk1aR+Nmrb*@egF9KmR|NV40*lF9Gq<tNB_-d45oylt=S(<isc<+F
zIHL!u1@{4s#rRXb6GPha`LjWHU^M1D5f6_wK%C-24+ad26%OJe0=sH7S-FI}0MsII
zb#-<27j9@L3Th7x0$IpATW%L<yO~_gr=ywI!L|YsRYMY#j~+e3^t}r5Y~Gm+NqGEb
z5oA^+xu{W~BQmJ5Qi8EY-bRhpP1o;i1;{11nE@g9oZV~>jW^D)B{6jFd;k2`TiC*5
zgR{HVHZ}_YFi=x7<fW?c9elAp=*!d=&4~?iu?zHh!rHC`pg+gcu+V&~@BTo2&dys}
zT2SNxd*kJP4}cy&12N%@y&wezg~NJY(qe9m#P98M0B(eiFBWiifXL0tf>06F`C2ZD
zfS`kKK>V)a=;UM=C9Ii{*ZfDo{BG#PX4hEJOUF)JK~(p+ck{NWrM2~U*d`p-+A!US
zavwnSRtMnj?U(8xh6RX$=#Z}0dR|kB^N0d75F-?yWUndDDGHj!^I-Ms?n!P=&Mi`X
z54uE7gN$<8h_1bZ%o{3Ri^1R_gft+VY(1_iHv+LzldV5j%o`A|MsPG@K@MPmc=cC6
zZ$d?QEP6r6^X}|sy6Gmla8nZR&(IRy!s&`$0Os|xaQ5j)MIj;?zr)UayaFwG+@A{T
z)+)mRA#dvx!r{)A6~ZLX&}!58bcLy834fJDCa>ylktJiJ-C3qH#GGkq^{*I`i@um~
z3?<W@pD;0r8@f2U_L<AXr<L5DKvWGOu2$3DHQ*TAk|-)F(nG`~B<6w~A|k2K3m2Da
zQ%`eqCbWkTV_ctno<^)L2WiqHM#dNZ{%x;Y4i8;!Nv*H1FMd&zyo%?ez-?%1x)1Fi
zA2UVCnjjA@cH1J5BI&9#(YhSWH99IZG&CgJ!hV<arcH8ka;(C_Q}mjpnsIPAC0bT|
zJaL~u^c!t$t4eWve0&YIgvH&~*49^V-`bp<DykQ~x*Y&;_U*c>Yifqmgq^XV@$qrt
z7F@Y20ROsp4KBPCyT5gJ6G7hx2J$R2eG{Rd;9b4b({D>QmzJa@uMY1Y9UlICsU|K1
z^^T5?E_w{W1!L^znpqp7)<q1$!`Rr^uplcwiXQyiCXrXPOKI<%G2|Qu+jZ~EXH{tz
z<>$*b_ww`c$)n<<2ySMzjA}Mcc6Q=^1OF>mq_G$mm(-m*cRsyf!Gaz!Grt|LnTW+E
zg{7-nxYNFmh)^gPRR{Q!<WaKp^gQr^v0uMr0Wc6<in6RzLmD{plxzSD><GL0Iv6b&
zB>`dVSHmpnP`vQ;@=^i)dWUy2Gc)qpFJ8F03Cz|z2K_MSO&Kt^wztnu()S97K4fNQ
z4&Z%DOim`dCDr7<TT9Nscz1K6+}(P15X_1mss<RhaPE$IC9r*MZIbE2&LJV8p?$Uj
zqbvPMtbBa0wje>+oU&3Pd-m_&Iy@=LraUQyWo6N~(9yA>766j_aXLBr;B^*In|d(a
z@doq`GLxH7A&Wn0UkTHAx!!ygT(i{#|5xp>@T^JAyQ-?Hi#f%8XQq;cl7b=!#K`hK
zPV6fnC@0{w1}aTrHaa||x(cEQMyT2up&GG*j*h;JKrm}Fk==aqHKtTyx-Sk+M7IOL
z(%IQda&yN*KQqL=^T&3;9Q*dcp-o+xvCN=tXRI+jAvIMIvIMFnU=rL$3Y`PfQTiPq
z`#!GJEqbM)q!jV`M_(Ls*Z#tS(dYdOaRcUkB$5t#rK4jl7|q>HhQLYV6$)|2SY<n<
zbP;&m(9jS*uK;2oBSXXXoEcM|Y@pZB9+0ulo}QkZOMs6CK-Fjiyq#rK54$O04~2xt
zpgllDplq^9%@Emr2B46%+1nfzZk=CTphc?Op*Op^zS`U0|H$6tfusjVO#%XffXGN3
z__Ugm5;_DVL1cXA!DCIp;BC;xp`DSCaEHEQFkQ53Sdlhf^7<4VA|N9Zvf2V6eTDe|
z#pjjE%F4aHJqSXDA4Wz-n%uyGp#w}^Z&E;hpt*A5-Kx60yNmw^aItoiRYf^t43blQ
z6-IY{;1e`xUP>+M29AqH4h{qbYMHexqW;%nfQSW6e#qqa<RliPRc%QK2oRVW{2Fwl
zgM)8JoUWq|4It>DeEg;?STQdUs6VE%cAK9#l-1HQo1^;j<$cHym~O2`m!f4aUtix!
zrxnFM9wSDzpsy%%%)r7TzmKSy&<A5|_8cwp^#b826gjXoH9l^petd?=Tms<hdr0Kh
zuR)ll$2Rk=zF7G9p_!SqK>8}(wsq3Py?+&L$DB+U_@f0#GgMmF==7~PHBh0Up+Nz?
zz4CozQL+rzz|!0#MmA&~xY8T>2Va>02s2vL)++zIwHWCGI@#ITVG$ANP<&#dPCRy-
z<ng3QSafu4@dYB&{}x2Tu4U*>36S5b!!lKYX+e2J$HO&skfHbrazVKP)_fF&<JJ&?
z+!`?!=_Huhv|d}O@BNId=*Y;drl#rDn4eZ)7bc3XbSjPSnDUTA{mhHGxw*Z4eQ1!W
zg~eN!7wwZ`>8ON5wa$}hD&atMOuTkWK2#`&x~xdI4*HYne~ktqt!l-A;S=Z&E>g1X
zip>0NYHIqNXVq_TB0OI4QGoYF51Gjii9vE9i)0)G&X3o7xFYcJVCK*y4!uDAa!jsY
z<msaBcmdm18s<7M7-ubP9xrz|3~Z(kh-1hoC<4D4N`d1CfTMR<{XyQeNg%>!fj!#(
zTt?<ycXvwiVGp^4gv8>@b7Z<5@U$Sjs04Z7t@*b3;yDnk{{zxyKBo(zlQlM^$2+qT
zAa+>*`Lw5geyyio*}TCMjke<1*L5lrXKYmWjBdzGB2}WDF%XV}T+TukhP8hO`|;z)
zER7;)#ydv~Fvi8k60#8AMZycifyc#cKYv{j9_&Qt*9cBIS#52!)-@CcKFB-9CMI3X
zX@TM8Uf98~T&9b}!rWYGC(joz2q1)kv~%}2*mn#JjBmTg`}_NhZLV)yy!ge$#h)Ys
zS+Sk^atCaLF=82KK}#hs*N-6It5ub8D~4gd59kPGr*M#68ZXM!W1>v`!071x^5*@!
zP*!s@6;m9xnVA_B5Jf4d(?awpEG!J-`jzs#F$}KEG&V7TUU5YoODtGdc_VO~K|kN<
zdJo!L%Z>R>m7G^rrs{MyswRnRSW<PlT{q8Y0>-y@FeIszSgPMb(XM52oz)t5zm@gA
z$TWjoG!P-mg@pxqH8po@y+NGcJh5C^%5UGoM_p-Ab#hCy4bGV2;^I&MFxisz-8|is
z{$Tgp6uKP-x&Bwiy*eICrKhL&_V;(z*i1l^{znL)V59~|mHhNJj*gWc*=h<3j`iYx
zetuBEbRBFuGDXy#1ClDAQ1ZL)vhw`_Jh#0SB&rq#@Tf%?$zQ&B5s;lt*Z1Z0)Wh-B
z@Q)wLIQaO}w#-~L%zaCu(}RPmRN`L5?OFwo85yG2*4Cu7waIgGa`yH*@kM8&!3b_a
zW%@05bBEVlt}u<*5St#r_;bMrUa$}wFMb13%$>%owUlOr5@WMVZ{9|30arDNGe)$B
zf`Wp#q`rRr$|oXXU8ibflr8jTrA)7>@bl-0urLfv%yp1MSl-!Dg;+ogQC!v{tb$J^
zBn5%QY~=6h=|^>?z*W`SPkoVz<fVvmIX|?zi-W`H@9$sfd%xx8`odUSQ<LQA_?U=L
z-QQo5TEZt8<zP!SK~<cd9yKfR-CI)X>gs@l$%32I!p7!tx{zZaJv}`OC+E<PWBka>
z40|mMq)=}MpqQHqesK#4$;ZaVF0ZdEyeZdrZNz>493$xI%n+y$c*@fqD{LwK>=_o6
zkdQDHNqAh>+Uhsrrn2Jm0C>Fn(1>*nUKcO0)Zc{B5jYw^N6G?WKU0**<{fWkfdIZI
z+bbm{#h4m|3c&I;3!!I$&Dhx8tt+-DuNvPx0uN=?SLUa{{U<p1g}gl0Y@@4EWPe{@
zrR4!2_U*#+0~t1#jWJeu`gU(GmfdXQYj#qRHx0UA>G=5*Mn*=yJ%6U?>dJq1e*S*b
z!QGu1tkVA8UWMfZKnF+stfU$;<%!iOBA%d2>R<m|V}my#ND);HN{l}CuN+QUWD2)j
zAqDJyKZjTZ1>bz}VG@}J()#@QXU$T2$YpDiJ9Lw)o2)4m<%Vn*K#+N>^{E9%c6qtl
z)*t8t$Whks0K=}Lpr8QqDbIIyc0Or-W|ff00LL~viR|i$DI!8&kR6LpPL`*L>drZ6
zbzBOO(e?BcwyMzqA>#7NicEhJXTi*jZlmvo!1%<(^p<US7zmIO;^RMPetral!S;`i
z@(K%C*jQQV=ySe(dwxqwSXfx#q@}3|?jk}BKBuzk_~0OSZ_nX-Z*SJdhBXgGR2=Pd
zY(hdp;|pFM9;z}yF)?MhfE_*916n{85ML{<ucCsBmi0&}@xzpDEn8;zpj$D*1_%n;
z!#oWI-~{o;jerLV|39-PkBvKc#MNz1MQ8+^r6mj|2j-yh@})(i0v>mY@?@<YWpQz_
z!{RsWt+|$q)(I;Cc%|(W56F$>WM@CU?Edk9TFiq$BppxGZL1=cGy&Kx_}xMBoxe*;
z!x+s?`U>1I93Q&@Qz{0|vAnZXp~(a0p9%_c0m3?nOh-qCZ<#PGudb}1L3p$hVox^H
zu!DkvfW`!ehGM#i%qk0pas#7s8-a6zGKKGq^C{cO;u1f84E*$o@mp6H-NT0v^mBGL
z>dO}%q;XneV#uFAe^PAoJHLGS;s6A!M5pF1@X3WGCDkl3(b2M&mTU39TI{9;s6^dx
z5JQ=ui76?2+`1sQ@1{5>hyL*J@Zsaf_vq;8z)-u%OgMs_F?t*a+s#G&y3#AP74tNJ
z+XeWy&CP#yb~vu_AZ~7MA@`j$p_cEqq@<*w;Bp4O0!;H{tM5hpgg>xdAW$FyS~yu@
z)EPg)`||z!_dlnnBU-#q-oM-dGH4PFqE+EE-ioO$|NFE-+LPtjHW2tykWqbJ_RKKw
Fe*g}ayU_pu
literal 0
HcmV?d00001
diff --git a/QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/examples/figures/fig8_tunnelcouling.png b/QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/examples/figures/fig8_tunnelcouling.png
new file mode 100644
index 0000000000000000000000000000000000000000..f763863ef42825a5759337b07950f81356da1e4c
GIT binary patch
literal 116445
zcmZsCbyQnj^L1z`6ff=+io3g);O-8^HPGN*io3gOaCdKu2QS5~#hnry3jM<Kygys(
zn}4!$*2%f|=AJn-d(WOoH5FM5R1#DG0DvJc2h;!nUhV?`2nnx|;3J~S3TE&RK{shV
zH%(`2H%~JcD}b_@+eb%dH%B{jN)Ia+S374XZZ-inE*45#H@A<jLhS6I|DM3+>|(=C
z`S3IVUj*f&oW3gnfCXO=%M77hyvz=O0077XCAGYAj{QCT$men&Ghz3>-!;>%#?nAW
z9DF^VaxV%IN5Zr;_^8~|m4opb4=~;@pIR#>8NWseQ4Wy*fFe(cQpo=jNs04RIjy>u
zUbIJS=O+BvbE@ZivXQ0b(v6?klh@_$WbRpytIh7@xZsAxZSR?sMf~qo*QsB5zNcR+
zwX5m_9(^vaug$%@h_tn}^*Y@c*?Moy{f;f(N`XKpZsC=M{}|`Q^aT<I++uq|3*S!P
zkS!RwVmxh$KNbJ+6d;qKd?O*0%l22t)HHtM@6(OIN%Jg(8u&aP{)=ElpY?+0RT|nj
z%7g<mLy}d+h&LWjJ<qq3Rn0$seA8is+27wUS2lZlH}xqlEDY)L>grb%bM2Su>1ns{
zs{h<U?El=sQ;=Bb?U?CP5E^^;8^FhhleVqOs@kmG2%dipQ)k~hIPBR_A7A;Sf)6Xo
z($YPT7dc}SZT~g0<NvINfq#$Sk9xje9G{j>$Yvz)|C^Du*_+RRhq~C|O8@jbT>K~e
z%3Mgu$lw8N*`GV<rZNn8S*O4M>(cN3bLk;q{qw^{eH4g!U&yh0!#yeR(sLC&9Kyf!
zzK{}h<V}Hugrugci`>tFDc4N`H*W0SGwNKG;?mMrkP3NI5^lnO|2ObYFvB?M<;#1q
zqK*#YJ3k6)YU&Y7E<oVLq%ao$nj0?s6$}4r<zM~yviG{Bu7|+P9{!MIIJVBt!#RSk
z5MgwTSpTp*{^uv}_Q)8$KvD+hzqq`-{MowV)Zf;7#ag1l=yx7%I<V09bQQHT$Nx)8
zN-9IxlWjS`k9D(UtM33MqxRCXm57BsJxa%Wsa~YQh-Nz_{Z4LJ3TF66Nxi!x{?(w+
zO2Ux^QCRsj-;T?imh24fxp%MEY(7&+DTt&v6V|vD8NlG}lCRgiQBS)}*mQw!fuSZW
zGGa=Kx_*0BK_KH>+P7en1s$tN{0ehXr7|(8#j-8|-A6URU_rK~-W`2-vb5t^(T@aw
z0-I}>p=s&-yFd{LRsPT_WOj=bDB|><iI7imXGca+?~fx>RA=~FMDqk^;>pg=oFHdK
z4&iY+l=XFlM~MiyI(#)ltCp4Fe(-#-;nbtD#D%)I+(N!y@z3e2QWs9CX1hh)EuU$8
z|A4W$Sp<N%(69Vy63`c7)4%fG#{Gxp-hzJ)RVthi2lPCIf#^D*Sffe&t%;lcRqb9k
zV)a8qF-g%ouY2Cjc4B`<t)LA(W+(=FG(NV_g5OTg<V*`C0si1Smp-nTB7w7<tn%(8
z^R{r8ot;09cV5fXn*y0}`_vmL59Nr+@iq5s8WnhzRaMMGC54>H9NHIQ+^X%Et=hlF
zgpHlib;Ztl3fj~31;K12(%!YdW_jbMl%L1}=wjg@gEA#fLCpMKM`A6N9wZ`6ki{&Y
zLN?P}+0aj!?T16BkK*MVcDZkp_RwV_cL{&gg*BSeGhI8_Nc)q;XL^=^jMnL>PnAv7
z;=Y#LcXQNej^dNy+%)-2H5}+^3N|s^bhwF>HoSLd98O-D{O#zi1U^O@w87ivJfs`y
z(<QEjc}cl{eCST--jImet>fKX&#c3L6k4_3?50KgIJ?6B&GXD3(UUknWx@aWbwfAH
z55_rThp0}pAM#fUv$N~Bu4f3UVhi5Avj-90?}KTlq#bN)$JaDU1ijTVW#ewQrq+s~
z7b6AC=9_yj;xGW6cBc#Gu_@`uB6s?M`ND@4edf^g-%6okhZpZhV!XU&E6BOw&eT_+
zia<h23O;FB*sN}v{AO2{8|Lh{MJjN&oeVxGO^-7a!$XZ#v~rCV7>^*j&8%kFVxR{a
z_jsu>cU(?qC%%PLR?Y70{K^qPaS7}G>(wHVSmc&?G6hXO%!*ia2I(pFHpTh%AF)QD
zNppN5L;?p*C|H()M0@~S%atcZTD9!#Dln>mgtqNyNq;?~0w25VAvpu4G7*!A_Eh8)
zBlXKrd|Z%e9v;@wBkdi6z^{l~)Ye5YHq-cNLp-ebj(S_!7S@}Y!$jJh9l<&CzUY2q
zjSj-58u%@#8GCmOrI?Oyi*lOq`EF8i6X9*098Y`LWnU+ipB;zjE$oaCer;I~g2Chy
zS$B3c)G0It760V&Nc$2>im5=TC<H9RBG^yIa7m{2(uFs12t$ZuT~Uk2a%F_$l-a%p
z;j`*(v>m<bw{D0fPqvWOA@l6V+e_GCPXC@E@WteB;O$zf1#cBF|Dk^~%<2bS>f`rl
zK9UO=pxB1w$<@)3bcaYTX_{a1#a2<Q%;!zlZTVC}g1z9kxC;>+q9O54^l`C<)I&fT
z`h`7Y#_PcLifrii1XkQom0dSUI1a>q{X;g@BEg#4ZDAM%nc3K0{1{dy6`0LH3Ks3O
zQACd%u&+@|jWm?c67L<MLvcKa3dZ=Dg3RU=E<g1~M<$Q-mW=Wy_+EpH;eM<n{1Y|H
z*}{0_eJ&C>Ugxcba`dhZb|(@u7KAFGzWG2bxh$O&!Q16S#}5d@U>TWeaGY5}ZDB7g
z<P;g`PiK5KOhy<^5n+s-PnfjDU5(1FbGwsJ+<h4t1wMWyEz%16Il*q>NRl3)mgh{;
zx=%>K9H8dZHTvin(dn=24`z!~jyMgr);V4v#r%1vZ7k=<@mW!)`pd~wpO#76GVVol
z2evmRVaq@_-Bxrv`HorZ9Kp>Tn-2i<4(3f*7;h1qCy<BccxUDtA(qnNmZvq-|Iwr(
z`^IV}JJ(=G>H{wD*v^3Wcx<5xcmL(Aj_i1MGBjKwZ=+OHovnP_l+`EXq%`~!DaEld
z))}|=ItO>;9WtYe*qvpL_iiR2F#qYYY?drGENsZqtNBJA@Wn9gE$_s0+$4*8j+wEU
zD8m;CB%@~X4*hQ7Mc~)(#S2t9t*7!Z0E_M5EgspT!a`2sR_m2tUTiA){0&c<@L;kf
zAvs0L!(&Z1-*WSgIQ~msVdMx8ripFT1D?gj?gStZ_>NP4w1I;ai%(sa#gIi;)@oVb
z)L>eWrKla)&$UzKATh0bRP}1daL%2Oj1w;jXq=x<mH>@SL8P_W3M>$+Vo8z<WVmS6
zQ^7~XsG{O|2b#?#^ygE`@|y1jNPy%92<Z&E44h``BhK~>3SS<wkKCW_)=!%>rTLB|
z9`si?y=6nm(ygR{rix_J5j4p=124A%i<X>GQI?aX-SR0yF#}YtmSHYg`v<~NEgBug
z#qhWyRHWrDC||J(m<h_jT*rIk|NRKcnIf0o%#l#3$7U9_^}_^5%W1ynrNlaJa|4^I
zT9Ix@XQ>ORLQ!lQ?f$7@qze`x_Q$%8Ve?ku@g|JRA?H5Y-?pkoy23g|M_VZ&jtw$>
z_uYKlVD86y{d-YbP|DH|h5&Zx9zFa8F_EOlDTT_K#84MYHhackHk&ptP>OZ{9i~PX
zaDsV2)#SVy{ThO^_*WeWoKCADetCMr(rho-S>npp*fk&hzN-nz&rHqND`oO4Nz0ZO
zf+Ng6?P3IcNh$wAFq?hg$xgX(abgBm23u_Qo`zc8*E=^nEt22d%)DjV@58UpTa8S-
z&a&Ookx6_Ze}9IG=M5;xF#2w0NPL%vTjG!?d+%(TJ2EY$OG#Ust&-}}!;V9q<8-2<
zQ~1*rGg+W5ce%v=>p?qs;}z1*Q9J40kpTHkflK@cQSrgzIIJoliFc)MOm*Nj?ZI9J
z`yA(>3zFEW2nB#r!a}QafpKe03r3eBHNyNI$^PBZWQQuCgT3UbZ0&S@K)lt5Tg8|U
ztFF#C%C{|M_koxt%GXL~CZ?;T#{?U1ta4XG+0|{{r3*@=tcjUNqyDAK_^!Q+#=X2$
zP_IqV1xq@ZV&L{M>uQ@QEV6Q{p_1e>z+N+#ap<flP=wx8(SqG9>U`)y9lO*;pZzr!
z_owv&)4O9TqlH1syUVBRw!U8nW%)>e9N*K9I!P^fTK5p`eh~ZGkk4A0nf`PZp3*KF
zKBtI7g|XtIS4@5z!_sK!N+x<z7VHJ^#QM$2$%(*e`_}K|{6C1<{LX1ko$!(N^C433
z-A;P{jsK7N`AyCI`yV_q@Wi;G%&XCv7QO$AA%O#VC){U${NrbsAaonp2)=?qEqMOf
zM<XOPS8rZa>DCR&ir=dPBshqG+S>Ro9Y#x2c!1rh{P^c=+}6oy{pemQ5r<5d3<r|^
zL)vmI<TJKpA(*U4neoTfo26>}HRulxND0<1a4j-Hsh9++*{WNVmqylc>ZPOxYA2rw
zEGWE8enm_<yPU3dlalVayM6qV4m{FY^6I36jz-hs=v&Yb0hhEm&5J0bK(6v(7VNjP
zvj`uYv@Dh1f?v&9n*c`uN})QlrZ}J+a)s3Nwp}X&4+p*JMnN=he~B~%bnJ<YbY$`l
z_F|wrNrAiF;A9ZkvZT1%sHl2d$xioN%fz<L5VT|sGFD%$w>C^USl6aOvOFVzY+V`!
zv}(mwoD&zhbC!|=V0ga5R%xb0cqw=8lHdT3-Tcpc4+5Xo{r-4uSuoHXH10Fuu{Sbb
zgbxJ7c8ln&Qb}U99WrS8>QEF1L~Y|=(P(n)h}~q%sc^|XXg4ke*}_yXMn5pjb{49w
z`WJock_QK@yvl^`&qsD<;@GC7jCaXHJ(Toa3)Re*NWxEI|I{m3Xj&q`bN<)JKI<QL
z6zUmfg*3C2U7R`4Lpx2ricM%S%;y}e6px=-uv7~K^Bcd_66Waj;ONO@9JZD(B*T4W
zI)TcbYH=h0F|1n1TfEiMpK}_cTyAilSyhUR_pcHVOBI?(v(upS@&Ok^U&fGKeG0LX
zY-}E}sPv9(N*yZ<8ng2D)0*^{aL04lc?|0uBpXzYcqo?2oL<s!bsN^AYFW@Jd7WfM
z?wRf);>`l}_yqG?WMTT=0B(I-lh3_2D;lGW?P8u?llxL{bv{Dv%(lDYoqp5Zmf<~u
z1ff;@TQ!!ChK@<IGu@3+nMb_Ivr_;oUo0Y+f94(-B}uP!cGbVtd}3ajpi4;?i$UwQ
zgz9vLOe&dnino!cZHMZ&mZTUPDCKiN74^N#XY<l=o~L*F_Xy78Mt*egh;v3|U|{e&
zd*crhmgwahom!*F$w?JBZ2a2DGM+0;I85e>&er$GrTfVE>^-nW?ECbzK>18E>DMCr
z+(>OHDT~8`Jq!|(aIrjZJJK{(+ab=T?1s)_2N(tq&ouy!2(hryk-$5tx|>kux|~xr
zIJkolRXqrUzvc`^ETtwVJY%V2jLU9GsjcbZp7^@24{YMEoDF)l#0wmhh?|j&;W4j%
zIN!56)QqUzZyk1kDGd*UaI*;e;4ln`s*O(Go5+MOj7hc6zK@I@bqA=l4<VpV#y5!5
z6}AMC7}o1sP7u^vt)Upk<13Uf>+o!K1Wk{AB(FpgRdxR{7-C}8PU(=1R#K|EgXqpK
z=N`_g@42a2y~5Q9BI<XOuD;lOzcM~=!(^g@BI@Q!W87fGMR_T*(%7id9q0IKH$-#C
zsujgTR2VRhffZxuBw3=%)Fw#3Kc`*Ngu<9+N$KyNb<F7~?L5%=m*t>kDe48leiTNn
z>_fc{`I`1H#yj9EI?r3`-|<)fWpnGahKUmz6r}3?{-yD&nd?BR_;@76)<-6(L=xU)
zx?Fd8<|Z`g7+7&WMm+TsYVRjvHe-&reN{d!e|#$>#qz%L=!YiaXVonh>AQvote+h)
zvy+y{B3t$pEzrW)GHM#1*7p_Fcic`ZeP9UZZOU2i+Z4!1shLa_$EjxMx}>(Te^*)7
zWM>j@z=jw`EO_|Y^-VB6zb~r$nb$NEMXR*5&&w|>0rCRks|(e!^FUvzeS!0P_ii<6
zSJUY84pps2d^_RwWZ+33GpqZNxh5GscQ$JBdQ!Z-o?L<j!uigZQ1_(yJM4}eX&=yJ
zY~lRy4SMTLWBB$_1tHamuwAyXbd{54wq9TL@`pwb<L{4}wE%|jNLB`aLr06U9p8@B
zU!9Cd(%}<AzVR1t82B8-cDNg5nf4IOx|CWYEY>;*wQ3)E*3rLvrQ`VvADwsP2$iqC
zK8Qb<KV^JmACzn$QCNTVWca--*&?fAWJwq)oU@J(rRnu$OoX>ol*=mw37H1tl~^R{
zzquvn=Ng>q4Mu6z{)V=v?Hx1@%h`6dZ4ET$KfA>lRp-Z=u5&@l-}C&$tmJH_46dk3
z$@Y*nSl5Ughj){l{F|t!IK7RFrCqskKaN8ex-wsgUd+Iq=U5#^hMwN2my;ptZT2s(
zgAr@&72u2fzBLxY1X`%%<ekRaf2J`2d?msO=mQ_J?;FeirEVH*ZfB#9WUO3<DFoLF
zZOPtE<J|<m{`wKct|)kcW<<<P50cGC_sYH5S4~ad96Pf!dlcI}h2iald?wqt+cu86
zwH67qnyFz8a_XaQT4QAT1<$SIu)Sc-EjB{Ww+WU#q$D{#x=RD!(yHeu2UBR!>1vY3
z3Jr7jh$oy9ug2P(*D)(%iR6YqaDL?S+DT^Cp}t0|(o%<T)7lwFl#5ro>szRisX|(+
zbcmHi+al2TnKP20;78*@OYbG^dl#BF5ci_KA|Qe@`>0E>x1{8fbyZusYmG(+x5W{3
z%(2Frk*qg`e#qlHo`u+G3hl@bMu=7gA05R^ap#CNNZ!`QyThQu*P$D;4wBy==^hQ9
zuR!~FHiQ8f(jZ=X8ZRfrd0p2f%O>0Gkzehj6-_D5yvecmnizm5%-8CBk*vLW<D}2_
zfk%_hr?Q_3Csd<l)=Zc;&K+3jn*_>UqPjj}u}y@&3bV^uhz7l|9DWI)jB=!;y-syb
zt8>?hS2}=a9d9^{u#ikO4@d?tt>?_6PNp)}9aFR%I66%mh11O42QOXnoeX>5XQr2*
z18LJNxuNbFjd9G4p&2f$7sGW^B#C>{N@HwV$joWUo5_}ls2~xpUW^<j!t(7u0}Y+n
zcL76J`hxadI4>26$VR_uh@B=$ley=U>agrG>Dg6kps)ky!MLNSC9wnM4eH}mFZ#Js
z*Nef7OTTyU<=?*bJR}sZl0%HFo!t7ay-kvY_nG#^s(TdgN@ZDFzi(Z<>+<sNv#J4+
zfRV(#5ED5!pC;PVnUgprdG<T=wZ_1Vw@$8>QGV&ny8>oX<5Kpif|D$bDC5&8P}jjE
znA}LKbq`OS#@_a79Qqug)~=6IGFH9wI%0fLw4BGihI*@!6U}l!*#3pKjC!L*Ud42N
z)H9n05c&Q<1JBO}qX|?!8J@Q`+_+!+_Y;$Gb_KwKNJxAEkAb!DJ&r(mWR-XW6L6ZZ
z9z}C_jty`-{#Lcpl^7B7hL2ZJ-{Nnf?2IJhFfTSu7N2IEpr$YY-5N0zLM6`=AEdN#
zEmD-SnA${V9cA97r#2mf8Yco2DJpNCk48T<GlZyP>>}2LGhR%9iw;Y+W9G+5I>*NP
zQ>?h`$9PJY6AHS!1t|AhFcP6!i;(()pU8NJV~3LJveP)u;#DuXCcJD+)S?}N-i3v#
zOETM+r*Y@G4o$`d+1BlioegcK72wp6V`D`y;|Q0y<b?Vo2IckkP}=0=lj1D3>jGEC
z#+X_HWYwn^_K*hoUe*>6w;^hL=aW*<(ZJ4D!eYVRiQoqB`FqC<*><VOUaBuAb9)TE
zFJfO-Eb6KG98f`~xo+r4QcPnS!Pw9$EpxO#)>cgGf!MvhpE1Te;?_T6T@-qXw>8HO
z{UJh4wQp~&beS$rqbM1}U{$lD)QCNp7-+jMV-Vx&sRxNQ<Q+Xf`q|0Nbv02(3l*8U
z?q(81sxqElezXSX=@ECZuZ1keRYaI5L3ZVT=ti;spwIWb%eaOtOqU~ye~`a);HIv{
zcf!wgrOiyUPsj-+*V005l7x|@4GWw@_h>bDCxVhrv#QEg3V_@?8AlpJE>WbC-T~h-
zdzXk`Bv@G4i<mkK96j3l{a^>yw53#U<dCnH$iyb{fc>?QHGd6TD$(D!DlWX|<rdOx
z0Fk^D;gjLteoR9DD3QjK>UB)Cb@LM7l_Q^TZl%zf1zwNU;5!R4dK+xFog;0U>Tru`
z^%$2pru06M+vONO68U+niL06YaBI4NOp3~GvrwB9JUN2~R$oK?<FUpJ2uuECQ@
z3cak0&T-XRAW3s<O=f8t)hJ1)iB$T1huEP^ntR?iOlPZ-sk<Bg^779Yx2ti)_&8(W
zoN388xw5@Q9&Ncobq!5Ealv_~R-#L*aM9l+o-#Bdv163RfhjzAZt}e8yXwUrMObDB
zDkfaZgz^48{$q)Q`ox+rd(XClUPVKM@nWUmc@sSCk+LAnBlQEo$D{7X;N$;2+i&Kp
zTy0=6Y4-n}tWj!$XGBQP`%gCX>~?UP;0>SqWg%x}&ouA#TZ7<$H(#0cKav$9j3%+M
z;H6wKA{{V$oZ@w^!7)_SjzV0K^t<}`9QR!W%?5c&Wz?flS%t>=;i8kpq|c!F#YPN(
zhxK4*R>E{BzOkUwQ})Sfk%u}X{W6apO*Dgauoyd=8x*^$aZtaK@{(;1jJ?sCGc8pI
zwj5(@)hDGQpBZdnSJ*KbM^$i_lG~4ZP-wi8(UiE<_m@af>}oXea*$jE%_U09eof|`
ztF~(^H??Q|F36llQY-%C+w+QQ$=)%8XPfRI9m(i!chJK=mzFba@0Ar=!<F>8j*pqz
zaWtzKpdh$e2ZS&aXQJEeUq$V3?M()nx-4c@50}%Xpq2i6+?0!H*R3qwHIn7VpUT9(
z5{u!|kwoMy6Bwr~-w<xLX7&Cuzr*dbQ4CKe(!nMA{O9{dzOjAcH!D*(=lYELRj0g>
z7Ssn?qS8%Jg9!?-)1ACGOYo+JvTcRfJN%}H9fvG<sU(n)=T`$h-p<c@x#(j?AJF`{
zft%O^#GFco&!8Hk4Hku&;Z|II<!%lW4R5;uS*&ho`zp?NHPvSGt^q!DY#pg+D{>u>
z$c=@$fDm~T7doPzR#@VkjUlJHht!P#?s9UA>aE4eI1BCL-(KiMrBFeDf_x!sn{3Jh
z`dQlXl2>)R`W#Z+eaz*zH2#3o7ZURuO{JOkio>AI^Iuw{cS?FvY)ju6J6^O;-FgvJ
z?L2hn;y;+P_K?ytOO*b7xioXHBi4pL%$61GTD7+oS+i2=rvR9ibj@iEthWGZInIPJ
z>Z(TW8aXJyR!d`H$Bqn<9g<D7du8%!n0Yu82koaZ^fyx92srh(vCAj<JDl=lJvw1M
z-II9tcO0pT53m+H<H(x4K`z6S%1^Qty-xfwF-d>T=-z*lT!5o`N|CiTe974%?8vbH
zi2;Dy+2Xn{H~vO0DXk83i{kspZqNSkZEZ#OC7?FLcl;l^>^V!~)STw#2nyQT9MEA+
zo?R4&Q)7~d!uwy`5#24{`3SAlN>?I+EE%XZ6_hl8sE?r7Yt+3rj0-{39@u>JfeDjA
zx;^7w`$E#%m2{^x$Pa>SHAQHu-z-L9B<S0)owS)Ws9He%xM-H0n15V}fG6x<1XVT#
z$USi_lc+{!M7@LPa!tTlE&I+P*7SPm?4&4OLzTjmv!N=%B_C>SoU2e4SymIIl@d;E
z(-u{SDO3_|S1xUnQ%|d`^UZo&T+OAW%5jbRxzZaSM_mG)eOY6t#_n-~clLr1zqu82
zvWZqrjgEIMi8U}2CMb$N?8hEw(eFNuH?ZK6_w-c_k*H@i;aeR7UEUM{YFEv0pzi*e
z3S3Lf#G3el|Ft5QGmv7;y3wHeh)~Own<<~v#9#z(JRw37PGl`TzA;`$)-V^OGo_Ze
z^y5~&7NH7-j-=dm3xqlKh(N}3^!DZ=9Ds%LPMYmfWDa!-1Kawjpt<Zj4@MFaWK<Ig
zNV_5ox3hvP*Uv3g;7qhp+QR-K!yTCEiNoctTSQ4e&?41R58Lmw#Gc6h#81AHa}zl~
z*}PXxRz*tqfPtRipXHM4hU=)Sv$P&-H_oJO`eLOlkvxMmv8_SVGEsV=Bhqnru`=nw
zv^2I0|Cm8r!H1IebjeToCPlA<J*s8%-jRvVK}mNn;6rB6FQyyD<$+%od<=#W-g7)}
z>7b39Nlf~e=K?%<cle5!Mn$v8-(fi+H#;(;nAN7oi)hTQuop{3R~Y6dQmpTTE%rJb
zHM3i#A1eJi)a@GgL6oCZD@6zrQP4T23lf<Op`LVx!<tqBRjytUBn_bVnae<rpIv>O
zdB-cBa5QEMw+Kw+mFgA-*Y$4pIN3<rwuCyg6JVi@VW&=4U~>)Q>2ov)C+oZjwvFXg
z@g#cw3ODZ8Q;y4@3qXZ6h1RfdBqaE7CW{w-kmGfWG~-io2M$#(ZihY(JR9K8uZ|W#
z;F#(Uj~bE(Ol7cm#7`l*>VyKTkVucbQK%aioez&zq+@Jc(z%G{n;*$)E#-AW?=&O1
zq}81SnD^P0N|6I`)K?vfgH&d-Q@LGTAy>35@3yWbB&U6g)CI?A`l;>}MbyfTCUGD1
zXW2D#S1JXCy9!=S#Et0}%972rDVs@7*<p?~Kb`<d#TymW`uidK3)r+>v}fsd$4u=;
zUvbMyL8ES55a)CnXq(aL_j^L<m_JZi2p$ob+G-f~7ueJzvmziR-}i`fW_rft6^^Vm
zJ=7s(d-x>ybz8lwT1kB$xO3NOp+*iL)R@v~JMrO+Sl9sPm@lj}p79JL5j~IG50!9I
z2%9k9pC;hXCHIayraCsr$BSPE&puOen3^)KtI%4GLMb(UqSK%uKQ328uuHqS|LBBp
zg@@7f&ULe!k41=Hsz~)uhzMpT&e)}T1qR?xeR)5v!hMG0w;cIin#0#uV+&+zrX13o
zjmBc)(Oca7@K*pp3`4CyIj7|_Y3E|ip7L#auj49F$b)OeJ59aOw?+asZkWvxH7R_7
zg{z!#uz)M4F9OY?pv-F5WZiJi<eFOG;^h{#!L(U!Dzpr^ey8-QEapNm6K7(9y}!tJ
zAVNv@+I-8VxGg;Dvdd)+BLVL#!DFccLCFz^`oyp$m_9R2a*|GsYtz-*2Qpao!%57E
zEO~TGF;!WOT<PGg)a+irwU!g^4Q)JsnhgN<xKeU_QCS^qg|LbhPypjsu3|Ve?1G@x
z9{p+#bv>Vutt@q6pKpU#?$2|8qn7LTWp>6pk6b(cf%_Lq(Hr=W?JFsCY6-8X;*_~3
zP#jV(7?m}GsIm+zo|tn^M5VaqouprUb)7+S(J?So(uv_!tVNj6!TyY58P5Ic9u3Z?
zhJ^(YYSewX5X}+(^aN*8|HZSM!PB`4#Wfus&lupp_WF=yB~J|P)m1X#4|p_qw#Cr&
zHa98~R7zrW)n|T}?4L8e%$8b1N<V|K%0qxfvr<I0dS!-<;@$4#Nh%a0<~39iWHkLz
zQ(rLIb%fx-%D`8E;cNjsC`=A1bRF_;>CMfo1h-Y7j1o^3w=U`?mLEZqIvTi{4-GX~
z_b&#SGJSTil_7Nu`@M4t5cf&csZ7fJeWzq7Yt;!GdznJfU(~!2b8;@LO087_t)f9r
zNgIud-xNK}W9>mfe8(d@he4Y}I{HQAc}W4SE7;AIAVE$stxloYuT>Sj>5bps(NtPu
zh%zm!n*`7@H_l99Tq*9rfLB}NXJn+5vlmrL*iz8cs||V0=AP)odNn~q8|s-xp~#?(
zBFl&~_W{nFx1<wlo!o5*W0fjEFM<TH%tL`5Yq@ixa?thOg919Au>m=hi8OUeI8uX{
z%1%CZRaVUE6F(`vmz~7Jw}gU`yDRyIDU~~tua}<Ga!aue+fV$cn}2v1UN$I<rZlz>
z59nRLK%GnF8VYZXsICuCO1sd4s#L=P+HLEr4QnXJ1Qp#qqExe1|6a@{7i%7OxG$Wc
zUSMQn0Wx|PZ5miJXU^xA=nY?5LmH}<mN1G`TwB4DCRhL@`J)oCQRa(`_Vyt-2iuhO
zGBCH$LBzBVFRBh`MQ>k2npn0-p#Jyq&4O&GUyHKHUn=-PK~}~ynl0el=d#8t?=i4o
z2`PCQsJh_AZqhL&D#YiZ@`F`<q1Z*710(mQ%6jD{(?b=cG0YH5OMHyZ(aB!a;_7z@
zF5;xBu^<k6H~O>R8sAT(-bIv60F1J}>c<n%dw&P(<dJ9MPWdcq2F0o8Q6IDj6JaA>
zmA0@udC@~-Q%=ih#y&W0KI*!~!pkIKQ8$&kGD*Byyj|b#{!#*WR36rAtGS$fcCH@9
zuDSqe4OGf%+g~b(=IZnmqLX3rT#EVp6!eU5IWbKXYC_;lrem+l<$s)@!N%*hL;1J=
z+dYTOoFOqdC;JS1V}c1a<Ka~bqv=lDPANEZ^lTYaA4RY#+%U&TnvJW5dL{oe^(8W<
z#-NDK58nTcu8&rH)k!1wky&H?gXRm~0$+zHGT?>8y?gV9B-317Ov_2~kMRPF8*wnP
zKH<CpGfTOU=KF<Z9e&ExBQk<cr}?(wpvI^6{fI|cFPsq4=*XeIWP7FSh}#�c^2$
zh(ejDR`zg;D;ljtMKxZ8G*55wg;}knYpGxE$VE1{^j5o)Frwrt#qeykU@r+(@iAPA
zR`0|mU<{-s3fYmyMY<mi)3?g+AdLpaE{LY*(Wh25NTVy446B3YDaZ|sO!DwGCfE>n
zkwTqvSSQ>4=h9ZOgrnYZAI!{L!(7sfSkD+DU8>zpagtaE8hiIYwc2Z5!Ey!7Ts;Gh
z=U_08G8v{}562j3gu<Rl1|8>?k~M{pPy)v_H9{3TTPYrs5M)a3=plt*0h?npP7eeC
zb|Wuo(#bv3SGmY7%Mi<xG+B2dgeXyn-c3W;6wV|4!6d#g`F!t#dgD*VQ445v6ra9u
zi1lhVZM=8;)*d29>b>9m0sROLWBDNhzAqnKt;OXxmT>j0n%TOifiYiK<$cakQfi8i
ze}Mz)iqevQ<N93LQLrT#vL6L%l(!(~TMPKfJny(l*Q&vdXQ<zwSjYL!NjhBl#44I+
zPA#QQ+EH<Dz-pp8)pLl|rYyyee^s``Vh^O{-y%wLKZZ8VE5LkoC}~juB=Hqy-N2gY
z-ltANi*KOema~|6v|=!D&vsjLin(W&UGahueOPJLz!+v~tI(5r9OrY0YAGvG-P_Xt
z$ed;Y>Pt->JLmk!$p6Byi8u;#1tJvmc}6ea#|KwM(4K<LR`kUu<31F?bUI;&aVtJ4
zbWGkV55FL|DUHP@{grQti{sZJ*Oe6dy)OBzoF=(~SQl}3#y!m_7g|>Ih})<r{4Hzf
zuUQ%IPm2%?fDof8#vZN4UY&j;Zk)dPpSIZmnKs-#WA1}J?q1rR<gAKmc8}*&hw10n
z+#@q0Bolszga3&hQXe<^9ezHDv6*ywJ!ea(moJ|~jm)dnwO$f9ZjN<zD-!q*Y!>bR
zEl07Wfim1Wo&~QKSX1&0K2ip0)??G?C@?VWlZJLH`Bqk9Up6|LOb0qDLY_Eka%-kd
z)|gB=D(w;dLyw3UN3;y1ZTSlWBiJ>Q7)|-osSSK1k7w=iP`xvt4HH>gqs`f0yZ1{<
z<<0zCSv8qc(XuQz@ZY2`!DTg@--Q~KEr5`5?wza?av#(n4_9Ef>N1^tbHP(m0bfr-
z9&@S#DvH5$Rc0Ct7IlkRvAUa60PGQ9sh(D;TVhxs#Jl43FE7)gO+8|u85^4bhHj+b
zr&J35l3Yh@dQky$S;oaHM>2$X*G-|F@M#_pe!m9%_EMR?&D>4B+2%aMNsT^GbnHU{
z*oljr3PD=1+PQdhhTYq!?-{T+BD)O-A~9HPYsi7V8e~Tryt$sOevDRzJi!dxmAui-
z%8BLKoJ*VI)pgp@@!!<Dff4hktr4K=0FtrR_uDMkqTH;u=1#>TI!Z-gu9o%VWLmrc
zUU}Wc_w*&xN|6C0Za%4TLhAW;wq&OqMy8!@q?Y+ZaQs0%Hiv#CvSRG?BB~2`QJY?;
zKF^_EadLjJ66k2Pn;2T8PL`jC2_P_jnL$FauWNhF5?{C$*K=JTo0hS4n+BVRsuP_@
z#B*2=dC)FBoZTQ;Qt#vhJ2!?~$*VSeu5EFf;Bl>-ARL_3aRz&1(vxEqF*Qw)1N4BQ
zZ89THlS#wjvMy|+2C?P4DoVZLu-x2=OB20Qc46wcWGNkI9hF2y^?g5d<Bo&hwqzgI
zDkriehtn78cM3F1FPSxWqs_e)rzq1V?Ik#P?{8WIz^0fy(L^{=Jn<(M-V~Y|G+9ax
zXW+pe&st;s<&iW?V$<e|*~GIuR-o?L$3bu{*R})7RQM7_?boDu&8QMg@BC6)*xe8N
z=-z$W$YT+!xKX~3#98_D%7kh9cVxMY)29C*0lF`(j)aF&qX(G(RKegZ5z?=U*p&~4
zbUNd9|Lkm{f4yJ`QIEGCGtJCg`YPyu70rI0YC8Y`=@exbi?+w)|2P4;%Nul5R5>4@
zngy#N#9<o^i1Tg;ZFUoZ@&j5Fismof@v{Ud#`de&N?;~gc#~O$k#f%dz<@~wCbXGl
zvU@!pUrS&zrdDI3Ddn!m0jL&vWWg01Tfr>s8uTq69ZIZu#CRk$J8jXLG?%jfnOJr@
zt@5Rde>dAvMDKPhrm)K=X%@*>(2gR1Wva|dO-chbW3}nT6*QMH$GEG-!xQ|m4xn#k
ztF&-Y+Uj+!xyAs{4YC}v--VzH;eu_TXp(uRZU$JkH+AQ{Q@C3@z}FC*#M!V$WBS89
zNKj$)a&UM_S~!*El=;1RA31Odl{83W(Q&i^Qm#A<1orikWyWe(gnz_m`$Ee){Bsgg
zHg@Ef%|+k#njZncF(0k;=QJ?kwVrY#edPlEGP9Kv*63xxZ?lX20ZlHNV#=ZHme9r>
zS$W}NYyG|Z@|-zFVNpu9xWc!P+aM;|+{T;xElp>HFZ4oB86F&T24#idjQ;Vo4>&ao
z6_~MxlRD+Qf4pU&47F+#nRHY2c+hUe6jN^5i#Mq_<kSj++Mv!<E4KO9Rsm&4VT9>t
zZ8?!f(8d}gDRkWd8!P!u?%m}PNj37y<FIS1dvj{`a_e|{RId=mmCf~mrK`DHB8#}_
zA0`G`jj^t8!5$tEzn2yj$2)5SK?;J0uJPQ((f3;NfCW%lBwt>_5$10pXwKP^i(`&-
zzVYiHPd3ZFqzyxBNPudxc$68st3|CK?KdZDtrl-+hX+S549)NZm1M{~(_S~uVgMZJ
z33G72ePg9BRBLPcu{XhkJjTo>APr-X%P2DK=fQGr()`Y6ggm<(4Q(?{R>8|FhNK)n
zvSExP6<uO^!;1ImTzFBFfZSWqiy|cG?{x{P7GZ=Kt&ho>^8dB(B|HlWY3o8twVyfC
z{~YSXA(NlY#%olc0W>%Ie^^r-w>{r!BKwT)f@jzPw;?u>w$hh{fw6Qd1(k)IDF5*f
z8a?iAOoZ8?pu?>H%`=T%JO`R}x6Q;^@~9#7e{!df(F88~-<M)u_efXk&yRPm-==8}
zCRGcc%SV%8pkc^+(ov<lmiHdkPqVnL0XR6`HB+^e$m)XTkzC)8EfW!D9WE!7cTrOt
z3XMla@wIBBtvOXP9F04E|A|f*N*8hR9Z<l`erV(GyT~NJ11oVb8$+E>dl@LNgX7&8
zQ2y>w)B!H;7$7*Om7g^Mjm>`uw){HeVNR<WR|usry)f3`5phHrp10?1t=@}I4zsag
z)Hk7U88{baV%lT=d7G40el}IHqtRidUifOtr|7LcXsMUYF>0%UiJfHuCoSh?!5H?r
zzQ`_qjW+wisDAQbpRBUJ&FIMoQJ=?JKR_M2Xari;)Ntxp+LrK?7+2>;$bR@fo%b;n
z+u={@eGEv6IfZ_Xz9flooVg&-!#*k0FgVBe3wy-HP`Pr{MmSKMXaW_NQt?sb-B771
zwJEjU@F>Z9amu4_EUhRc1jEY?38qf<bZg2HuB+=*hWPha*v|=YyoNGSFYDyn<mTPV
zrwl56(y#$-C>Fy_Pj|bRujSGX^L3fy676I4ZUUt+`~1C6if6wr&ybVexUin{xQ<C+
z_4%$9J!Jb*&0+&XyXv&TI+Nv>RyOav!>o{Y+0?R6ZNEi!U8IYX8eukEYPFR_k^i85
z@~Ph@mXAC-$YrX~rBa(TI3D?Eg}jjp105<DCDPb$!7ApkDZ2pAJS}eKRHGeVwTIW{
zIL`46ZN|ry;g;Sm@@dV~2!k6j#-i@Oy%f_C?Z96T_s?l5#}NNB28DH&Aptj+XsMvY
zFMn>=kA!j`NB16U?=GWHq72O26n~1Z8?|0(txqDXlym=x?jA);W=oM-(xKf&z0sx5
zJxO4PqB;5L%M>};EHJK$I7@W^{cUd{?|wM`{lmj~Q~o3RS-?$KgX0p{fH`N#d#dqF
zZe(2}@T=3#quK*Zb-0oO@WH`@+Gt}?-*s0Rj-;P!4A0UFsp3xz!J)2)^z7w@4QTgh
z_a+5!fjp-FC~A2BYs44(`}-2IvdE{s4^BpIGt##w&Yz-fd4wdDpBXER3UhG+odp#W
zwf|Yp;$+?_$NTt22#D0%=Fj*a5)$;sz+S?SWXSaSeq2vaXMZUOO}wZGScpo?9M?MW
zH~#GMgD)odx7K~n24%%y*sC5ZAYbFYJ%d20<|QOatD2}0yux0yM8|h;-l1l_zrjEr
z6iR2oG78<qe<$2pOC=ep0<>g`2AvRt2DpaziY^m#NoUUx3WVvGw|!Da$;}L#D>&cX
zm$S34eC9mKV_hq1RRZ6P+*4`4;c2L+H3iy8hfXX6wJY_n#Rk3SW&gg>Bvk=}rBy3&
zV`2}6r)Nt^X$ZP^t;y-ZZWj{>JWN0{0WAV2ikH$U)%;3_b>z}_g(-HhDz1yMF$5_{
z<eWwaZCZhIMXRmSuro%4UQ@49m0}V(>52~-={i-ap`jxadzna*Wk!(G<42D|xV+xd
z0*4Ryx2dE+^noc(J}>r_t1&tr_sD#7Kt&X^nR~V{l23gE!;s>w2ldPdH4vG3)FP#3
z>`(PRa<LXGK6lb3zxq_>X<UG0Ffu@#eG*)pxc-|tMH^C(<;|%xw0Ilh)wgM2ZVlI!
z<65Ouq?zQh_;W^~=BhmB4-!+PFM_=n(*%(Hi~LnB1+7x{pA>hhvG4pYGJ=$T*v;WY
z+s%znY`c;sR6yaUc(IhQmAq+19F3HvJVax4iEaW7dq=O(*|o2pm&h<Ic8KkMT+41c
z_0Y9LEVNS9?SPZ#4t5PYGny>(>i%d|$$e95KRk5qO=X`?Z92RZrqt@Axr4klJAHym
zV0YL%q_?6SmAYK3KzZAK4%P@oXKPuQJYCY;z4d|~0_QI5{&+0j&G3n|x=>FFIZ?4W
z>qm8&kX^}~DMkAlSLjoW8P{fDal89VN{I2#CuuvePV6;SVg^3N%^0yt5=67(C3U~j
zK^*)u8!V7#NMBG}w!aj#rvdlAzeWi<yA%C1kw$oLE^?EYI%q5GBnq3mG9;L|qzV{M
zeLo{pcmbGoYX^qKt{Y&=1b}6DIbHnkh4}4=tk?@c`{VV>%=)@X1qmGf5l5tlQv}1I
ze)m=TKlztM82o>RW0|M>TZ7x)_ytydfoBECKJsPHH}Ab%{$KZ1b-kV4e~z1`DE2?X
zCz?oAD~h8{-GHsPHvi8GFll7!r5ABdc6rZ8<~7ftKPomRnoskQ4n#^BF}VEKV3B~x
zqg`gN@d!#~igdH<aOy_Kt(X-leW%agdZT<?JT1Ih!_q9*-D^kn6xV9#na?sZVrfT<
z&a^`?YN&`5@seP)#d=~mqm99a%t{FU;r&d@yJ)W=>>Um1%)I`qiP-4dP8Y5@KG~&p
z<7Ml1n!^jc<)<9E%I?)X!pD!mW?80T{aL|&UsL(X67r@&&gO{k$yb(9^Nk_4!Zs1{
z23-CPqU^TIIqv=g*cKgPls3j2@+p-=1qF{&8jT^n86Z~nDXgosbYvs%V=&+Sb<&6e
zh1$M42!V=u<Y7|}y}i+i8)8kg7Rn)yJQ?MfH1FPCls}s%Kp-n4RO(W($&seTYv$yR
z>aaX;&QhB?tmTzqdjbrVH8@oaVPxjA^5Xx-)w5B2f<Ad|lG21oEwQH%$FRdU^YRFv
z++VmQu`QCJxereeFdgv7v}2&b{)FkKNpO>KJoKe5{Di8(bVH*&n7C$PR=};H?*fS*
zJ4Dinibc7haWij(cmUxGiw2)tkz^O=UAIkEtK^MUs`Yp+IxH^51xU;nZJwJ+2+}=R
zQIhgZ+B9&m+4dD1wkO!{EF9QvLJ#M1l}bD!(#lU!7pb!rDPxLY12Hw*IOwfruQGwh
zZv`scKE|_U8|4$~)F#)8pK|>;UPHRUZYh3G5P+`~t$UO}g9Mb<rA5MF&6}@qc^%m@
zz9m%rgAn)1+alrwkNN8D>>5VtiHcDSmTw3Reslhp2tU(Jv8e^kp-=YxY1aWPrmI0~
zn%xLl;m$0t?beB=L85k0ivV>>Z4)-^nl9Z;o0bG$l|Yrz&nP(*NOA-#XHgfmD&WNf
z_fg3}l`uMKpUl$xC?157+s3gMQ*$rE7#2=O7H|So<YvhP%$P2Ui2vy%JD--qN=?_T
z*5ma53=j5XZyd>%;@Zh27ptrP{v++x{72gR>vJl*<7Yb(0ry|4a2K#Zl7MUEvEi*e
zPVK*t0AKWNazkkq)0A9+@JOT?OaGwT&w-vZ_wn05906y4;Xm3$tW$q4jAwbU>@&f(
z4Odrb0;Vp0=iPK83wxdd1;~c_{yy}n>h-EIeDLzpyDuv&1pnSjT-Szka%J=6qHv{^
zt?l@Se{U%Cw3jC;E*f`t>L2F=G$Z+={*F}jd-3VE|1ALU_x$bO&&Bb1Ua)|E4E~=E
zrVq;*8yK@vl)&Za!0Dy-sMeg858Wy)k`{IoAHtdqTdRL19xs;nevp`7D!F*iKc~a3
zW^y_@Q0n6SeTrWPEfzeA-<jVjr?Wi7C*KD&a2iWl`GJFriyK}|O(xC0kxNJd!)`Rv
zJb}ZtLNtr2umZ*#^?7V}0f;T~SsN9LLyRKc+l5Da85KM(_ILNN)I>PHAg^s$>LN-z
z10gT5%P(DQXy|$6FtT7{l{@<<V%i-mF-=(I+MHZ^i2&rGwtuPrVB%m^;^HdxjVqRS
z%f92?j{FDamS$#$wAtR<t{#TwLso<(z8Gx2f%a3{l_ZQPv1s?BYX2!87fb+_bc}#L
zi^6y)A&s%6(tMA+&k=^<Sag8;e7wH9%SIHXrE(fEb*|{jiyf=jbcAL0qZ#T=PipFX
zPq~PI^Cg^G1+g;!$|*|at{LW=J~F{U$i4%{_xQA|(KzK9PaiNV{j|U(yqgQjxBUwv
z9ZgM#v(6LJ*3e+jYQ~rM<1F8eg54IAYDfU4sP7#u2vP-6hPQRUH;;jvWU_0ZbU|?X
zZM)^C|6R3%c5a1S-2`X(d=k8;Mlr&HbtM-e&`jgB0Db4Ye)tU6-4wHB4a(dh$e?rJ
zRq0{K<GD?tdosCbpbV8N*gwQ*Rbq~Oyf1_rd=yqT@Ds}mtLC)6VVy%#sg1u+f>D9t
zRruEas*+&j?QX<s;XN^R5SqUDTQZy-m^;i1bf#?PWPx#v{u49O*Kj`d%vA(y^udvy
z4qqy3H(zAKh$7|ef*I}I&3IHnM)s9vQm~9-ULPGJecCH^)Az(01l!(nwA-T^=~r8<
zQ4mq(oz}#w=Bk_mGc^hfl8F{byu_=jy-Y-S2d6lA&3z$t!|yM=`*HwT?DuE+wvMO!
zBTgP3t*5dYZMb3tv(*YNI;6QAgm;@*<o_$~rO#Vxe<`{0-cU0%{Q@pxDcH++_&gPG
z-E{kO(}xAPUBBrKR}FwA`!*Xh;Jw$@PQ6rx|JeHH(&uzIl$y-1dsKoK%&sw?yD-7G
zoAFb<sDSp%66!KRoY-J;cvEQn?YNCt@R|RaFCZ}6sS{<v#P=j%fjB1RX96e#XpA+2
zmm{a7<^%I?6n52O5@AP!$~G!M`p{!uqk<xAPY^;;O%<CnwIo~9%m@1MOyviLk89*4
zAP*3iqTc25MO7}ESyNaoQL9q4DxsA_<zYg>8l2v%;AIL^NL?97v+K8%BA`)>h%o=m
zsfP0?B+SyP%J^_FPCqslN53yh>cU0aQ%1?KU_-;7mM)7YBrxlLuMkw({jOJviGMrd
z_QelONFn>{YlW5WoNP@K6AJ9Bt1d2DA$a3TYw5I}iPLLO#T^g4S67uPg?gMm<eXHX
z`p|KzqtRhe1-Gke_IVH`X|gnxU>K6(k3Agan1dU@G{MpEP@?az2j`(uS+;Mc4-0Xp
zWhQY{t)aG`S}q|*Ez(WWkEitsq>CsW?CR25zK!p>$wGJKv^?Gz8{e;~?^i2*!crG@
zLG{nGy}?-%WfW&1vUJ|oi9R1}RRR1AA3coFOSYC23m^YpXqH)22&Vj}Wu+P=GmK5W
zA$5gfC4qB7uhhB8MX3>{Q9g+tUOjXi<M%`Yq`%IzR%&*P%)`ul;e^w&9yxkx22l}4
z0kfi&Y&&EEo9aH4B1t6S>g(5;3np)F>CN?S^Z7^$saU=&GZ^Mf6_VfsRl4WMwq`hf
zwPu37iqud!(Iozwx?K2uD3ksy6quc1e@d!QZMie-=AxMx*x>k$s<NYSdM$JFG?dZF
zeO%L24hJFBVCtv;dApl-w(w~>O8FgW-UiCT)yJW4-mk@|QJuzl6n5fbLCow;mSEPU
z)fW=v6LWC|kMPE?$JWeUfgVd@qas0-K6B4`OB8SW6ePJi=J>yO`m<cT;?;UPjju>&
z&yn$nWwLB<Fp_9AD8?LVbroSFR9Hk6e%@J}@Cfn{cvRa}`v>U{B-`nmjo3w|U7Q>o
zU$wj+QZC-d|L7O|PkE=o=HKRMz&<gVq@m);_A6dY2YB()B*?jO<6-^gQdvi8iv#Fc
z__E17%N*Vz&MEj09JAmzS!%~k{0PuC%LQl`b6pZ%_5d7)1AYg;{rTLok}_{P{_2Aa
zVkq4kg3AOwJxFBiHlqI+oRBV3fCLKzld+Jc{f&FzD8%cX_$go5H|#@sv_p_KaJuH5
zWM<Yj4m+E~(zM{weJg^Xyo_dQ!7K-@zgpq<Y+$lo#OwQL5(jOG=22>jc?l|})ad0R
zXWZ8PzN~`rL^A`Swqknv`w~7z8-_Y8ROt0&_x=S?0<!9EnY^=8TqO)0d!!Xyxh>LD
z^}g%4?1sTse+O#CHC17$k>}`>1HJ)A>*%81%nm)|00%)C^CrJ7eY6txl~EL%J-;Nb
zSmHc_sAs145O?@mkbuXuP#7`qca09-SLasQ6~D`5`KPa8rF9GVSS!+%*-g-wfh`U(
zAi2JXj+syakkd;OqSeplElOa|$_SH=WZOt={iwihJ)5~{K|7|DE;D<Jgz^|hLEpYY
zHN>$G2HjbLdFFr_9CeK*L|m)H#vfJsse+{SnfQAIHvCB2ES-g*&Bc3c@9&%8*DMZA
zVMAXdUWz*Z#*muin_T)DDRWZ3$9OP7gW8ldu|lcCI9sDlBBc2l1of)5?y^RHO|P(2
zF`HV-vMMI7At)?hQ{RTVH9Lxssc|a9!0n?`sE3Q6XSd~dLQ<1ZKD&Ayh{Jp%sNU7{
z8xd6G``OLWQ4neJ-DKv)oYIqDwSSrf)6$l@nNs<1aw+cd7qexzw<C;?3S44w@pk8c
zpX#mt(QBe9dd5jYA7wmDM~m3W`D>**HiX<nUJyf9RfaW7?{$}*KkD_y6I8N_)Z4!_
z`E-b56tJCmyTe_D03g+L*XUrK3xf4>uvvyF{Y45SnrNC&oK+j=U{2d|JXFFs(_RI=
z(2~uX%&e!<oZ#+VbS4+v`@xhnrJ_4t*pGv6Qd<|A6CP$evcSAmyd8b#6Lk0+un1Q@
z*r399ujs(_$;$cKSpXs6Ll#}{MeZ4#VCdNFTNC1jLnSG!DRdEZK)Yk@wG><dM)dYM
zP;g%SzEd?03IBVkFY>2sYP0Xtbs=Nj-$EPyZ#VuqZC+nf7HYuz5}zbDq`WS#M=nI%
zJUvy_NQj6la*h?A!%uNtJFfJ?*U>8woXCT-fRd=9&hQdyrW}UV`I)#spd;WsR1mN6
ze2AYSmRrR%<nDs>O(f#<Oy;+@r~U|^I*$as>|gYt!Yi&))ZS!EBKN6&0mc~XJ(rd&
zs*_*8|38+_GAgS7>*9leC@CUcA_CGOozh5mcMaX$A>AM#(jY0_APg~tba$6DL&pp-
z&+z*{FXja-SZnUAx%Yd{-urw`Il;FIKtTJZKM~8dysDbTx8pvmQV_xB2Ks^}wV+6Z
zskP9{DR`LQX|R9!^cNy5u5~e9FEYE|s4tn`Wmh^)-x@EURd0YZ+LON;lW1631-whs
zNa%jTL0S|!_00bKOjE#_oSS=TR0Oa_6v$0h<Cvz3^1c}eBtb0B|E}ckuH4;GsO`sS
zScT5lhiNXyF4u9#KF3qPmy32tbUAF4xzG{}=a~YXyRo>yg>C4(Bc%K5@V_1ur{gRg
zFX?6L1&*mu<_troN}EN<9r6v?4=K#D5yy>|)tXqgw@GqrC7XL^Fp-Gh5prLH5|eMZ
z4TRJwz5tqLau9^-EkCaGTmZq~1bX`fto0EQvw`vxNm=j|fnP(B5Y`&Gn+Zx-d=HJi
zH#h4M$0B;=_i8_)MWGKV)me!JJFgUE{qYZqVabR`l)ja4on$`j_0mOVy<5)lmP~>}
z67y0IzYdO&>f3WH{BL8lrdkuTFJ$l~`DTSH_oD(f+fqbzO2&U)RnQDw?^#qrof~^p
znIvzl8_kgiZfpS?Ntzu9!})+uOPHXdb+1jxXif@?Z>xt(<bz$SddE%u!Ts*84pqLI
z=Jk&ARJdOM9q3(Xv}HTr4-y{XCLUySSVNe(ZSi5JocSWV$j1gvJO7t}aZ6NkyRTkA
z#3aLa{t8bZmbdR$t9JRKN-{OQFTGt$ZUA24rpES%i!&dl3VvidPSmrCmC9tSgkKLM
z!~Q!d+$*e+?o#R$zVBh5ff0XIj5UT^KgPa^`^|Q+HK;oZNwdGyPC1>84kz-y&*GLz
zaj=w`J{^LxQ!_(XloCgEMXSb7@#cvWju!+aT^%rgAxI##z_Y)giIEuJlFCDm#jRMT
zX@npAT`i<?Vn&eos##9g!1aYd)0gO~2)tJ;G=Dgj5{mTI`mI2oj$6a*Ex*13|5U1`
zX32eXKbJC`VbAv`>0^^ZCVw*zw3TRBWlHKdoLsEa%uZjF!cJ_2*eMnFzqejGh^a1T
z-XlZ4sVQAn-r9D_u~BP=-TvUXtvH*Cu3QDsc+8FcW}lEqZ`{b*1^_}h*Rpu`D3nj#
zpY}z5?|gksJyh5hhrk`}mY1}i9uwfVf>p5NzLxz0GpFSfrM!CAHx$=V`Pwb0p7()5
z*H@NVelvpl3vF)_gzH}q@Uc>DzdP@yDcOK->n3{i?A}uxjoGHQ^V*f^NxRnMKZFtu
ziD*9w9H9nn3e@<`30YM^-z36O0miOhS1y<ByvG_Bam|?Qc!NY@<Al<wX%?YR*ci61
zR%Je{O*jF_XT5?vzZXhs!<d&ZuOU;#(#SE&c!8|^;Q`;~c1k8ocDP8CD^S7sE9bHx
zB;fpt`UyM(rSdtp%KOpTW;@*}V3|K_y$PGHdFAu&HM|kV2k0WzQ_Q(&`~T1$HU%cm
zZjHU|`j2(WKsO<P@mhNu`w_z?YeGdZ1m*>1k73VZe!s1*n9S>brtId?!&x#HObdw(
z;H<f=UkhtA5(~Vkmf6eAiLL<v@|CSF#L(ys>sj}Y=Boz~G?@Q}_ik=J<c=3sRbeAs
z65fly)Xx3H!1v_=T!`7di3OZ@t4MZ4ElBZnYnXacuQ1A4B;}6v)zK1y?4=S}PP+Q@
z;o#y;`0{p}5%CiG{H>Ge$y)%c$@7yhU~7`s(&KY{8wj^MFV3_5wv&z1TEREoQ~&a1
zJET6{czAgEe6z56wS@m4lTCjZgb!mNx09^?AJ6+-Mw9Jf0Vi1JN`yPP8s14otNY!#
zk#LOhr=UQefk0F6&oTNkt?jdr|KKWQ$E9WD7R1<CyR`K5i6moGT1=b!O*&`{On@L0
z31bqIZzH-h5{3!pJ7ngro$H<axIq^ECL|^w#fI5S4sCX_$^WJ{QMDvcRvZ-)QsMGb
z{N`tsSjqV*%y;lB<;|-ReZn8e(4Z#-G-s<s<dOdAVNXQqCs|*UJz3zxdCOt>@Bg%c
zS#<YHr!Qs3)LmIv1vq;V_!z(WMX95DQ7VhHlX0vAzS$9$qcU^-TByw^&cm^YkpQFr
zy_)^BSjKM95hzhC%F~PL&n13MLv7kAE}4NXoJAO@6((7MI9$ySy@QwZNK?y1B<n8z
z@)yAE>N$4ftuHROLZ{j)iO)U0n{7SLpzad!yO@#z_0MTpt%mFm$I$=O^(WTMkT4BB
z9->OX!%DG>8<4-qY4@(Fy>sL`LUwukp-GDLOcL|NTU5#D?JB)J9#>!H8bHUQVtklz
zR#z`}lAK0`a@n@j{g=M8-J&cOU@WFn*U(VUiiP!-??P`GHGi^~p=mRJ1OIHHYkzrR
z&R{Cs%a}X<H=N1GMagV?!rrMJ^IyMW&tP1xxZc&P_LbW(7lYBXhc0OH=aTmJ(sG>8
zKBR^|lEms;r<p0s_PrgmT9X<|Jr8W-!FH(~k{3>UQ332cO>)=7DpR`bC#-bKXZhSw
z&|-%6$Dcg!(+9ydObhPrUsS!#3`mTyxAuBlTKC1%H$yzL!UrG*aUxF_uO(8P^&iI6
z&cOmA!K@%y=UGqTkyNv_^3}CYn`O<3Vx?*39_;Q+3yytS#Swl4b`m7wyI(QZ{Ufoh
zevt6zDQD2JhwFySXRXGQ&CiG*cz0z&(s1y1FV$RJO5L>BHbGM+M&g#4W{2-<X>OH{
zo09rCFv@h)*;gV}({A9{q@af|Dmmx--W&N6;7}6@GGo@=5*|?+jf@?Y^{&iT;Zp6_
z8$CDXVfq=L0*%m<z6B}8+Uk0j?d5-E+(wFGBlU<VEcL*9ox@4~G;u(XT!Y(SvEpL2
z<K_9U^;TkZt#tZ3?!i|Nuahg-!;BhlzFXaJdffd$`ckXgFo<9;FdVVTv24I<rX_i2
za0ER(A=6C??Yl!MldYe_xb)gK!<h#EDWcxOo2o>aeog}fFz$p3_sT_lIn%1dxS$?!
z*Of`o3+~shXhf+fd4mQw{ak~rR204tt5r};(n@YkE1c2kv8&2u3$(U7v;;vJy=H2A
z!`Ww;Ac-Zy0MBLw1&syUssINshig92m=jz4X0H0oO0aG9yMtmmA}~H*6{qKBUvT(b
zftS<kCE2|N(>S>v(`0<<0hr7GVP9G#WSjT%4b@|iVBUHF?4;$OIP(lK8Z7f#b?cn>
z@bFMsPcKI1V@Pl?5+){QUUfB2k?QMb#eG^yByK$L>C$UYU_FX8@P63J-d^Yp6`~p<
zEB@5t-_rS5DU;5f9yn~_*xl0x$)kVLlu#9s8e0TOyW3MNMyA*(iQ4nVb~-G6^W}LI
z;3#@4tl{|~ZNxUKJ*1-xO~mu{T-6%(^rdo<;5!HwMH`H7<tfxRY5hcn0&|PC)0;%(
zaTs`hs$`@d@MT>q%L$6h`xJ|?!p153{s_CQ1<W>*N|U?43+W!>L#Qai|7+ulH}U4%
zk?ifS?^e<SF+6eVTOj>IjmyqE?X*mp^WW%dTraS0kPedIQrx#_EmEJ~PVykt7!x5K
z^ewNM^1|O4o&@mN)uU@{PA9!$39~*HNGYp?inE!R$sLx!D87dr9(v~4pQ7(v-V?)u
zgo{Y7A}D-b(dBr3KqxY|o6kfo1qCeOt9+czXFwJ7`iNanFqT=b$#}M0!|S+qpvH2P
z#LeBEDpht9VQq9_@vH=?DGA{(+7a-q`+ZJh(g``L?xZ+y^SQ`=&Lkcq$r{S~@UF)N
zALk+gCcAoss*V<eQ`s<)9d+8s#KQzR@Il59*0fw+N}yp2naKUklkEWyXoiJi%#$j6
zXlob9Q|PYZ8diCOnP#z7nA`czbNva$qv=)&)J?Hv1iv=g<b^qI7C4{%2VdZ{{IK>k
zhu{hI4Q&0>qwF36_K(rif+=&zEKm*ohNjA}D=`NaBgHmVFoA(F@u1soPBZNVr{SmB
zgKHCBIPc54ThpVibhhL_l&+*tglUU4^X?gQWDOdD08%tKYE^EwU#L)!N$=#$+4$Y5
zXQx1+0cY_Q2K0U}7YERC)`M|AnGo=f(8%wcqN6o(V4L@L#nt(=b#Kcx7e>}(w-~bQ
z@CQo-I+@@!t-wP?61OF11f5b3_fh^p#N5*mxg`0HiieJ}d@}$VVi|?>qcpATNJ>n(
zsX&ySe*E1|wF-A6iIhOoJASWjT<2c#f>S5u0Jg7$sEzT~x72B+tQ6l5%%$gE^B0Q0
zYi(z2UZp!#H<MSk;h*B@a8`+v`G=S^Y?8LW-|VF-_s3G1u@^6f#wkk;%U<1QduO<0
z)ku=stIcSc4HFia*+^QRf(r6}vc?a;8!x3fJQ~43ult#rRX<QdU;l8ND8Ia(MG6nm
zC46&r)y|p=);Wwo8afM*^6OAP-EGec<ykPTJ7&lb%DDM{F0nf5A<K|n?2cTuUsxO@
zFYdUWDilylD8U?5!*`SK-K6T7kojeV=<!g~DPoBI26mBt_>JBwtLea0!3Q59!{1Af
zfJc`p3GFfC;wM!{5;-PG8o!nacS^^q6v~>bT|;}pmDVJ83+XIi|4#pxdh?#hIcRsn
z52m=`&<WX$xkp@Q%s753_A@hd4Zr15;dWZ$?la?;k+JcFg>s7F+oNyI`i|vN)0wAM
zJ9d$QR5`D<wcz&v#Xzu1A*?=j^0>XpZ<HPVJ29^~@iBAjxRUSDAn)VVH1I0ZDQ;-u
zGW_uyPSpHZgT<TGd9~jBxyTku9dBnPH@pk)A>#VVEM6cob-Zf);T|Rgz3=D2pxOS_
zA7h-sx4Ej>cl^LOWlZ|kEYcEN((5SFWctgutGS=W^<4OhWzx$dDTG96UFoO&Yc6=$
zSS8%tlQGK@@C+r6=Qo~ItzlU@Ic-KKa>a9>{kV{YCwDsD*ngH{VGHnZ&x}_nGb~ng
zopbXLR2e|NwWa?$plOmgtcZ;Fx9C;YrU6&Yc?f|q$tPNIHn{@qw6ONgDYLW9-{XA{
zNC39y!-F%CTZNFW=I1BZ&L&4hdd%5*sz7r=DbB%+Kx*F8ynM28m@kiq>fcKmn&kko
zWU^@g>$VFn&YIszp^G9WiYK1Rq*)Qk^<Pz)BotcVa-8#H6M~7K2avx|1>#if?5U7;
z0Q9Ee38rcvsX1@;>g7PKzn*+}9SAF?Langk#x{{}_Wfu~>5@GE<?VO?&IXQ~)0TuK
zsubd)0>34^4|qH>+MdpR;<RLVzW>4q4I>dbfw#A7zN`rL#D#y3{AjKSrP0$xdaeC3
z_lgr3tF*E*+m9Mi-^TfWLn6f}uNFg;Lg29U8!rJIim9<T@$%f{H47~F6GxK^$-VaQ
zi+SXxghEBVZ`4YLk<w2sKDkGwWeM8`lme8^kIP0$qwi?fjd9*!F5WG05pG3@JZ#1W
z;8m#*KMN5EUYyfXMvU_bkfq-&p$gpjc$9nlyQ&Ig(!fnqLR%vgWc|(aG55!>ogDB&
z0zdeM>D!CT+J@b)O!nUBa(X#EJx~>YU%e9^#P7;Fs(7qMrMeVNM}Kn3d@QcYuI75a
z<c`}lfz;XOX9yz2ar}L*?0G)IRPvE9@fAgIssJ2GxF24w_IjB^ucjTU{Y`<?+tJ2)
zA!><t4Yu375eUCT!o;#fTmq%CL2lQc<I|_Mrt3`}_~V4|{AI8$YtPsX(#q{Ju!O0p
z8UCnKV~@9v0PHxAa?Q)@bdaFo{QqfX+{a#dw^wZtOsM5J(A;?qlTADIjh#Iba30hd
zo*+ud2bv$Ao+AqJ0W}LtZW~j_;JsaCx4DErtG(`XUFR<c9&#c(FaXM*P98Cym_y+q
zOF<Pz&BxU2bl&71*l?o0t<PsS$<VcwC*ro3r(lu5cFJdvW2`&WYt(KI;dpamOO2F6
z+5Tx7L^UFdh$)@2e~TMzHfiT=Kxa%I*i818-tyGDc{qaQY(P4pn!nIK-#wlv$y;~)
z!Hq^ayVetlk`at$HM~1vU%C?Nn=;dNezF+Yg5ItRS{SuuTGBZ0`YH`{`oR<anq!X)
zzy2>p7AGWXriKp+*k0a%bx|i&fcf@bowNW+7ut&mGn=o{0%5b2lt_LX*^o!)K7KfK
zMpxhGMy2Ikfp8<^gq%0O5fyOuj}K_vJ8057Shy4A-51gZDWD3V$ys-%jdqYOvSDw&
zdHKWg1@(REr&fbki`Ozz>#<J8xISt|VM;h18k5Z?nya08wi_ujK)6vK|B<Pql=uU~
z6%ZaBQcs?SE6(A<T}}<8N`Za82pd3(mBkG~9AaYum>DD0?1@nGKK=-d-^KzL$X@Sx
zeLBbAX;P=B6Ql1nSAvZZZvx`u*vIc$l+K<Ufa|%w%3kO?FMp2=#n;jg#zE-GEq7Zn
zCYp#DgV+SqK$J<%DTUSoxJ_nwQC(=LSjnKKRYq(9Yf-C<TIvK64rX7GsRoy+!5|(?
z!+u%Hr62%YDu|1td)hJ#=F5+Wf4LJ8?2i25s8M<;-CTQac3!&Iyd&axP}>#z?~?mm
zY)Nz-1%nNS!m_bSyLF7Ni=XIRBAO(od?&GH#Wq<T-ljdb<qqb0g_)7+teW8|D?PXE
z4C^RWe#hyjk3}xFQr{Z2?7!$gKxH{rBO3o*iWR{5W5m|Sxa|RN=*a!lzQhh|UDg-5
zRLm=;_z&EK$O{>e;4aE7>Q?R#n>ixu{0_sagQ=ld|2bI|3rEJ0(wP@dbi}PasoT+3
zcgNLD$p!c4ubW<Xu>!s&hDXj`<5%Jz)DTEWIrere`fk9qwx{l;Hyn`}kzVN(;vtdM
z&D9F*R$oeG?*p3)<tomE8ptMNW2%HHML;)urIonb9B*FtU@utN*h+Bg^~yv$IQ&8~
zR}iQx7&#?aM8Yt7O1L$BQmMS#@_oWs7MT7L$z<{KTjhJek5D(Ptq3P@7h2VySJf3u
z;Z^aXoMWV`RpkL!D-{{368>#Lpp)q0?1nQ<(G`h~39G=4JxZg9r#0O6hpyj0cpND(
z%~;p7tVW3Ty}=+bhW44=)VYfTTDtq##p6=kq&q!xRlcSa2vYm<=Si*KHQTxKC4<!#
z5{l|~$B+g{7HOe&wKfm`_OhmTxe$SY^q1SW8p|X6UJkij1y+`Wri?QRtgj7<gzI9>
z8Cme{==+y!3qL{S;xyU<C-`T@VwcS)dJ`&d06Kx=1IlrkjVmi~K?jc$`R`_#0%Kgt
z%G%a$%zMrUQVhd-6=aJq7?uL8JF^^(Uv&7rXCA{_PdoaoPkH9A?M=wC>uhEBTU?Nx
ze*o4?$4Z8`UD+%Wudoaqx~J&b1n~2tZ6@Jor<Mf75qUwwD$fKdfh<<w42-3rqcvfO
zKA<aJ9^KOpZ*kOs8fkvmq>H)x{DVyLn80q-x$e*das8H7f$%xSg5}$sbkVB24<5x1
zT{2Is#$ol2@oT>gw8p%9e?s`{0rht%D^s;r(FW+l<!F9{G(bFVY(G+Ra5IujULVCM
z27ZH7g2muT_o;YRLvL2iFz#i_k7UT;a-V6#X6ngSkjjxhfNeF~s!1v_k4#6W&f3kS
zO9c;O<jeDo2nmGyA}GQ_RyH<02uDb`9sURz*y@WZ@!@$M2!(|qrqY}>r-8NZJGd2x
z9oD%=&WX}XgJwF{$AcIU)I&WR6CK*8bECC{Kr-OtxYl|k95%RqmcsgES$)Kfi9GKQ
zA?LlhqCPuGSdC84S!yt<<sOqQu=c<T2!LzboX-c|vBdtmY`M5{JT}NynEkP;8?y|*
zK?NB7XlU;r3HzTQBaf)@HD+<Y+aXi`aVf6|a26N~1jiK~$;n=TBOiFVsvEHf4?j8F
zb?4Hq&UY!l46ccr2Av!2u4ipazSzNG!LzXKp)-b^!F$eWJ<9e+A8<P|MAG1vovzp9
zs+?}<bzy{w%z}a@*?m(sSD1e0BM|a2?QGAFZV0nCbTg@=S#kJXPS4><;a6YV1AjRt
zHw5lY+z2X--z3<;wu`fmLCDfutdKb|I~(@wA3w8v6-6H1{1Ap&uiiRzj`%k!Lj2-&
zn;_$Rxi=1FXmj~}ZahDan;C>vN4LPX61Q!$*Zu9ak^=jmgaxRq00^1}K?02UoO8iC
za@zq(UPL0GC$0S@kfWw0CF~HNcTZtpa~*U>D(Ji(10z4`^xtLq=HdT%=IQ@c;ARK4
z<)M7~Y?|_k_(TszyX2?;a9o0u&rckjJGRjm{|DHRCU0i?AKtjX`&)6b&5HYNNsWaq
z>l%ErqnSn^pijTOy$M<AB=~V@iFuWGy9M>tGWP|Za@~=bs|m4*9WgYwBOdsnSG**@
z1HP@M3;gKDA1>_>zIXE2(fPI@f0{k3gEVYviT?Mcarh=>&`e8$;KeJ4)?I=JM4!WG
zi-raMB1kc?y#D0jw}DLARaTP2Kl>-UmWYBv%H5so-veyk7?+%$sImerPO7)<olX^T
zu^;d6<dCJGG(OPdrSIwvdx?4M(qbV{GX@+M`C3a1?o@OmJUkfrNaSGZ*JX(p7h$FQ
z(OMQ%dKJS27E9BM%v&M1Uh@wZE(YpzW!zGKL+mBAYi2)vzfXF*Sn?y4vP!oQF~!0>
zIU6z9&t#BHe~K%2Wf5=3DwZauR2X0p(`x=D-d&nS$Iu}rDxyA?dV1l5#5i!c(frFC
zbOgP4XqYwrm0kmlim1CP{eiuSbGJX$s;;5%hb2Y?+pU=|7)iY+k+EO8k!DNIx9(l=
z0R$sN>}8(nky2EA0G6R@Aa%J|$woeTp?ZTM&@Fc0*ixSzqDl11cz7eusU3H)sgki1
z3%PHSp8)lb^H3HV0Kn*(l|Z4@P9H!+2el12M)q2N7(O??m37<kWgF0rcikHsP%`p*
z+0Td?YmVM>xweP9EXW|&a&zR^Ps$=f0Wt7kZu3;>9Q|qDC+xz{KRmqdduCf&CAR?{
z@PA1l)MDg*(&u&Sp1x6^?uW)I+@x5LMS`H=89hzTZx-hML9sPl2p4(qp-D`&&Q@Bv
zeT&}uVZ&S7c?q}WfQNG6M5KkV^8tzGGCI=vR9YR@Fj@Nu<;e}Qb@XGbYCWV|s42$#
zhd^bGRdtV3-jO}Ij9=b8X~7*EPQC-GXBZNA%z%`q>u2JaSXlYxvT1r&Wc-NEr~`cJ
z4Za`nr)Z)XlTNVvu@E2|CM&d#Wt2ozqwq^YL9=w><#KARWV-2k-#fo>LV{cAR2z`q
z4M$tDSt6t`nI>a<s%}NInDdW(ik3O&O-<g8i{IhATGQo4>xoIxNkjHkUuv-q!)#V%
ze?_}mZ5D~|J<tMEhW!n>UxDXLa#&8u$m^o>{xn<D%&wZPL(y87z_MJA7_Kd^pJ790
zi&0TTFTm!T1jz$+*_46urDhH8CPIftQhO+^cCV|ePF5PRCeOjCMZ9*RKdMt82?UEx
zsRf1Z`W{c{eoxed8*<I75xzMT*HV<aOj`oizub3sKPQtGLE{tb@YyHz$JON9#tO;~
zmXcf6!>x0Qn?5PHvJ~fg^46ggjlI2`;ha3SWxj72*gqpU$WlqLt7Z(b$TYG<D%}94
z@=uHNpO_pZts?NrPG6FHv;A)td11%(=MeZ4<ZiY)AWYA(17At-9A)Z&(*bmEx#D*@
z`b?3p0zqxs_k<v#;^4K+<^N<DjICgun$by&8(eoI()y>?Cq1?a)=%rjxRRg-`yPJy
z+~dc!We?&pTYgFCBX}SOg$(2Pn7AkVR@mrChzyG=m(kSR3R0J%_)UfhW&DzDLWt9(
zHB3(W5|2s1gCdPwz;Oh6oBiZ|bxh=+|2FD$3ZkUCXV^zf-Vuy*6(_H%y6yD;LOtd}
zQwQa;NA2`Yihi?n3p~pGZY5$p=rVz?-~j=2a{f}^GO+FZ-(wg}<W980sFUJZS#s!n
z^f+E=#j6HE84%ft@eSxv^+4v@743hgUmu}S1s)Q@^pq#Y1WR<u%g$M^w(gzp&r$z!
zIf=h}n_a}yHQ6PGQi<SLz#hKAh+U+V&!S~gr|$mN8}%KgBaVMvI7idN#rEDNPG<l~
zhQHSr_{dSG@F`?iN$5oaJOJOrZlA>S(ZLTM(+R%qy!&&p-mkoic`&SG5V<xcx&qHE
zx#b^&L3G19AMST+-E%l8Tjh~FSI>70=gXY;#sACkV$+#lO2+O)^V&FEBA^V|r0tg6
zwlRdP{hpvp^5-VC1<}C%mugQ4e4v&sdW(qRv#hw!8~ot1CHOA`k2w2bwN9Ho^9&84
zFEtmCz7VTL-5h&gpnS|M87ZVXKf}cyzG9F01nJJpTfG9BM@QSgPX4N)J<%48z*@Dz
zP&9s(8JfE*_A)44fRS+35K*Xj#_4FA4_hWh5}c5w(v{*=p{?IWYWg3C7M57m%*cnN
zjHKOh2rc-%>}4h_p%)<zLUgo&T;|a}zKZ7SW77~(wc-`5R1^gPdAHlO_AJRjQT>Vj
zX^9NTh?d-L`HQUuyV1yqA+vJNzcBaS01QJ527>8+WC{1Jh#6?mLs1I-<sKbEyu7~G
zQEk1a67@!mn~Zzs0^V>-cCyV1S`Xq>uhL8s67(&-OH7zv>aijlbwC-tVQM#7Gn2vR
z-W)%Hys=mQtB)+PX!_Hi)9vNUOIAc89wq3#>~|f|Pb&kAE&qK+H&ab>7J^>bnQV5;
zWbs~P8#Ou7h~7jH!c8)Iy!iTqxgbmA{evV{Sh59=%3NT9!|9kRX<S6D@uHm{eA+Ye
z_ynmStWII^i)=Y*<JVd{m9&4#Zw9g&-+4Y<nY^RMCE{C(-?x?$ogA^CC&sc6xJfR2
zbh;vrak{O}?N`37`HQPpQ1Kv3U`<!Wt7b*Ujd(H+vj6PMwnE_ZXirOj`e)XMx!$;b
zt~PgW-ha5143qjg*sf27+$`abwlU4s|246liLnaFq2hvXTxS$nHiwDl!(kK049<{z
zdi~^Q`;`&K@Ar8N6LBuZel(1H!PaZVVqs|2g-i!bgvtqO#xg6H-o8fp7QR{dIs40R
zg~)@%7iU`?N@NFb49PmN*MGhb<sYOv#^uk!GY10EK}$y5Dt+GVX>VQpyG4_)aP37B
zlM?7|F({Rcyt@Z3kYcRPDZWzs>8*v=*9)jOb0KkwB;p@&yWec?qt@4C;!_Y2z?L{Z
z{__FO+9e(?=)RRNkQAj-uw%3Exi_*Nvk@C%E&ppzXEL<+1Q^7*Y;e$FV@*AB`#NT<
zF3j_n=|w%0Gp6UKs#jSVpvZF?_8_KKiz{DRDa(Mjx9rKG$erTTy)^0iAp($gJaTgK
z=TKonVLU%N2vS&IkN3Qd0ii@+=tdMFa=DS4VZrdeb^faE=hsk<BSejSd8)G~MPR){
z+G4)Q=$nQ157LY~DwE}ZhVAzc5M!^>x*QwFB=W)SI`7;su>RBMvRU})2Hw-r>1`={
z^f0#<7@GUIw_e<!7$;8ppW@^EX}e6Tshd+FtHpfm`QFBm|GjDD?=K{LU8b~&(5Jez
zKo|HwieInaIs-1|p7R-&GWgB;0=JlLuH$)~Y-u(^vtE`PxPY#xMj)b@L5#ju{TBs`
z6UPelI@Cbq|6>#l`JWk%AH7CDoo<_K_s6yDrs<u<7(Ki|q>`E76xb1T3x{vQS%D_3
zyS#r&^=EeMPO^|z5K(^faEZAC8L<gfdAXdCg|xgMZdj^Pw>9$K)}?q^9L4E7<QXpC
z$1vJvR!BrwPsY*P92E!0#&kBp9@Z=NfIKSNPxEE%c`muL49hz09G~{Vt2(0DiYOL`
z<HJG)E48EK1*ZjBl3Dc<{U<#w!|ZxhzBQjdiTQg^#+%DL`3yDOyix(-ez#t0cTm*6
zItrIBRCmzP&r;IMf?m|giugovG|#_8!SYG`w9Z&?GQ};=1##`wruVwoHJ4VA!H$oO
z4A3Y$Q~9i6sQ6}8HZHYnuS0RSA`7`HGW$rzw;&-y69>Q?+>O9<e6~1v3H*wcXm0*D
z?mfie+jeTrN9T`QwF5&((XVlFrVjyKBWjk$b;%bVLq<Iv1-v-+1%2S38{~|WOONeD
z=~8AL`thF*3=3Nfe+bF`^UpLbfxbyAOENT5ok=1XP#bL-QP&DRQl@AaITc0t8;IQ=
zf7t|$iW{|p$}A1&Y-+#fuV~h_WNuGqV$m!M05{S&A{ehs66%Z)NxAg8WX4f?jigv6
z$$5$*hhht@A%bcLtq(TMm6kPhB%i03DzjXew}rQlXYz;C>{w+UzhnyF(p>sF`~B?5
zPTRAba{lm>=l1n`Aa`?Qk7L}YM;Z%<k^tq87+I)BLmZA;L^z4CnC&!<L-91*GX&*=
zVtB+28#C%Wf9gCV#1Z##Rprwqfyzk+funNn0<|n=!<adPzcQbam0kJ=Qv>+iyJ#B1
z0Tw$^wv+C$Xm@05cAf>pH*TH)Ui#LecCugk0-33NsxizT%d)Jq_Zo?fP9t90`W+nh
zCue2k?8(1Q_6|?Q^j$GS&LMInHp&p6K#H5vuarC2%T=&H{NQb#DTF!x<DTqx{sBoS
zb94)_@`UTT!w@|0#RDh@T>2yYrLDu?)%_Y;2G@w2_nc&Fm~kyc4wwrto)LjUD4^qr
z%;feLldoIv+Wpr=(&3=Mfj_~1HqaORT|`VCg|wx39f%r$=Bj=3tbeb%gUHbjj1K6U
zQxLj4(-6r)?5M$hH^ys*3wj!591etoBOJS-?s#;<Lh2Kf**#hRcHAQJof9{>e7^)D
z-ip&ObMr=X=OZ&mhW!1%pYpWlRh}IfT1Ng{@dBqU^9*Eh*8Rrpp_zst95Bs!7_<3H
zr?10NyuY1^3Hmc}YeV+`UT?zf{jocjpO^%%8=(}Y4h<Aq4LQ*k8kGo`Yg{6J7fdq%
zODJq;Z6(FT;}>cm4~(Os?_WN@a#(?u1kizwV!s286-!9O8+AL6RypSL(RfeoVBzE&
zn{YH7@>cAJ{L5P}t`5swGmCE{L{&NuMv;qOA1q;U3pqxA*4=;BoSmYINEujBJWbqV
z2u}Gbc^d#7s84O+NbyxaBf@4K7a{)S#|vrxs92kPKgi2Or4<A3XD1dY5q)OA!!K2x
zhXEycxL>pJM3@*iOUspZR=}KT1GAmPM-mC(!22h!af}v7U~Wh=+DOPb8_<E7rDF?)
z$v~JihJcHjsLpwI`H6hh0Or8cYJR}fzS)D%d(+}=WmDDf#2=w$bkfT#;){}<38Sqx
zCPNYDu4=vcz$9eDeVAEptV7E$fabj3!Mb(&CpYxy6t2~)E%;6EX<ekCm^QrHe^*fu
zy79Ceq>~nfsD*#CS65PqJXLpY@^l*N7&bc?5IWq=L29@5HT9vz;G>m*(^(HDtIC0P
z9WF0iHK2Vt`)B7bloOt(D^brSbn}`IBe%oKE90xmW)mV_Nc*MJ^{m!5v!geL7*%%B
zt&{i|^A?VP;r9UBsF^J_IaY9au)>`^4E(pvJ4^cy3cP)bgUnz$nza(-ntRjO?n6;!
zCxoo`d37P}q<gFP_%XgySUaKyzu(MX>Ai+5mDNjU)zQ~?3q7{y!}dJe=TB(2ZDVFB
z1DkQ9gxf{=8rqBSPx9d2uZ_U%C7Rs6@umkH3P_;cg)D7%s{%x<>&MdN$-)w2;w#Sh
zKP)F#h<}M-6L1qG*qR9Z63Bl2MzNyfP5L+=HoSE+_yAj4+^qlE9PJkeDfbvrYE!GM
z07t93MFOC4UYm=|Etgu1?8&T~y(xqnc)0=8Y0M7&w;-2!;S<}%3%-`EN;(r*ld#?T
zTm&@%M1=A11R{tfUHKzan!*P^ljl0Gm@1eN(VU9hSKn^u3i~iNIUHoSzeUYYjPu4I
zIlD?Bt*vLp8ozX&xj;B2BJC7%33lDjM!{n|%%75<aMNj*=@=Hm(|M1=$sNb4c621S
z{RA@#w#bNBMTQzt_~L6BI+3k;&2hBfRWwlvt*|4s8-&5{x$e({7$?ZxL>T)Rg5!*x
z*Eyeoii_A5PY?HM9Y@4C)mGs6q<_U9-6Xmhbe8pHq6VW>-s+~_ks*HI><eq`y+$?1
z(ip@&lJ#b1dV!<^1UK2YhLrv(lf4m$QfVg_7pp&pz0{xo20=#BtNJ65-uH(B&SOV$
zK(AN7+PH14-@J3uVmB6bxA?EqMA`#@s?|$KCv+cfqNArrN-@jSnPnK(EPT%7;(+9s
z;YvY3XGv|E{>EMUR)vs|pL7m%wQGLjD<{8iFqa@0aZQ?w46qxHUDA4RIhwx9O%Vy^
z;q1U2FOeFpCZGC6__grFt8UCru>!4ZOZMRiDpDv!2fe$W$vumbTnA?Yje^||V886u
z|8VrDW$nkTE?pEmF(SSOuas_A!>38s5=u1^IZy0L=G5Nuj02}HT7P1`V)n9sAFXy+
z-IL<q3FeD)X}a9S%{PEBW+MakndV-|Jdc(8me)&QRuH2FQPn-XA~J2Sog)XtzruL*
zSa`$VG500Vo9{>~XQeZXu<gO@!*Y@P%3ehuB~x5KH*W)e4rFUZ=hE2`@=4sxJ+y{r
za4h*Y^H|d_#G~8JArVf2>wgOT#2Q?<@K-%%`yXLnEtic%MLEb|NlE^S{aqzhdDzqN
zGOgX?$j@K;1Bq5C>r7WJQo3U$#yh*Vy7#xG1=7FeUS#8o&+(!lW=>$(>l_yLyn$Ra
z_rJ?U(<|#`SSwm+UHrobcGY2=wN={GRjc`i_w77`4DwUzIMFT+safzoC;zTn6MVtJ
z50xUReG%)oYIe(YM;Hx|Z6(jjp2m5jXdXi!CI|Ta_Wm)^w~UnQSvy?90@jP7w#lRQ
z?Qy#vaQfq$Fm-G#(4{(AZ3}VuQ9ARC>{rB`e~9qvd*(~XsTVpAXbB0Z)yX#rpzu4>
zSa}f9+9rqaW3AsWtrnhN4H9UwEDvERgA$biU}{Of2XJ#dw|_ban&2rCajcB3)qZXM
za0R=~A5W>Sw-f45b3eRelcQMr$FnijDS*_x3ME>Dce?_{BQmsHh$q<2bQ~1;1DojN
zXbZi@eaCvM1MWXQ|A8^S!9vF5HuxUkVLR;)4ss+()?CFXB><YM5mr5DZztoE%kbDU
zLSd$=Ruz170KNUi=rGb;JH^<4ma<Q!=wrqR;w|^_w<8~3>psDSgh;fj<2>HnCi5Nd
z)43ll17nS-jGUH#`OvjJ1LTz({1pcC>}BzrO^)hIlfiV|tpQf?>Z%umC^9LA1@Wb7
zOq;4XMCsmjP4>U;sQ}-s&l-~`gp6aKG7o-Spk1Y<5ny7*V!vI##eIe1v}lpO`CJqr
zYUo#BUKAgN?I7dQ?|sVj0{?C!+U7Uv_~;6l=OW1$J4%WYcy)L|eBRxU-_R(<`vOLy
zPBRG|9ZhbLD`h-3q1baph@b*iI+azp%GJfTV>?<)#qQ(6_W&~T*0N!%fPm@s!p@1{
zbXA;q?=K?yNeoy8Tm|k33a{^T4t#+Sk;Ck7{O$LU<nFayG+^qWC&VvsV`%ezEp^3(
z0f=R5xP~O|ZG5m#)H_${|3jb})T0RtKh35Gd=bQzGV*vJ%=ZlmyxT$bdf0ULy6-zl
zAzTyp+Yj9<=;)vfgdNEh;yjYP^+A)K;Qr%)z}rO#7C#_$bOv5A&emBB|92z_LA-Ge
zk4kQ~3Z1?3Sva9x{OTkkg*$E^tX`^E47{la^ENv0rKyw0%$AiE(e|B?yz3B@HFUn{
z!LKQRsyFndZ8R}Mq&19fC@6r^1SXOfeh;R@du+5PrzWwL8Cbk5-V9qF@2JNX2o(`d
z0tdq6HDgdw`(r!C=5}TjXlqlj(Bus{IKf=z#x09~|E{6d>wroBzG`}+@pD)_Ir5i0
zj%kMvS^jHD+D)d|RRQw}lbiyrM&~E}Q#AEX-KfLogSG+rKiv_0Zbnkitp_!NLWZ}!
zP7dpPek7kM)t-W$x^V*DJXctXe7oPvs-P1QC*8EN-obWr@_kiZ(dAb^RqoIO`#&J&
z_ERdO={iZric!O8Wj*XR^TfOdBVFvS=LFuS57n;fX-LfQWMP1>vF<=f;?`=h`-h>e
zD&-mW+FrnA;{CrjW(IBKX$Se?OhaTg12QVb+4xcD>qO*>8tYb+zb<gE_M~rX8`?_r
ztEd@EyRLEX!-DLiL3ZP`NPu~=b8h`97sM>-wNN|T9h1ZIjhy-FWI#E3WRvF}s-%~L
zzU2#Z15p}8AQQ#X#QU1wi~ahe{<`!GL);&Qp0v&i=~Df2_0Sm04xGSKC`JxBN6jZ;
z+1C)Jk0x&=t^VRR^hDA-V9HT*bl#P1s)TpJ_5x8@afIR(G8AN9n#*znDi~i0G^TjO
z&DZEitR$OR9Nz!-PNIB&GW71YuyBhRgo^9={$nl%OEz*xRi2-tTVG7neLjVCW(8fp
z;t$>&VkHVS?*c=bQu0x%qzQ|ozsS6xf1K_1V;q8OaB0DGE5>R@+8wzn!~}3=(fPPF
z;LLy0P(*spLR6Ae#=}l3nKMAWnK-?OG$1=~qkfm<?FHZH(a2(*M$R|D;tO1j*~m`~
z6PSye5`Eg1KdAxQM@<@Q>HSnlLXHcbMDZA*Sg}96$C|x&qyEwu)C!5=yg=9M29|S7
z`k%yJSa3_IALkEU6IVsfe)KjhQ`AqFFX@@iq?#_pD$3gQM&u9zZ<|sk7WpEzc--Tb
zGBWCzzl*v#r0<WE`~M`Z9riE@-%CAs(rmhDT#7=_YG4AYue!$4&e|}v5V;KW&btHg
z-RdI-{~YUCLy4Ku<dDx}M&YahyU`cxM{{l)u=O^yoFlL@lY0h(11?wYfHa%cHW+^8
z^KjZcZoIeg>ZfjUVeMTIVG_i|GPq(kL;{WO^|!{~Sa7$|qw_Ol+nSp`aw{8(Y};0<
zKYpWoULyt<05D}EuK6;zQY{Nc?8JGV$6d5Vp82xW<3{hh%tpag$Fkf-sj6Sv_2)mZ
zezj(;7$rZFk&_g1LI=P~72qR9gAloN$|(5l+2JG<DnYInZvJ(h@io<;Z7hbjj&}a<
z%XZ65YABzS8As8Gr>?#8IK+i<_=R3sLJz3aS4L$JbzfYOZn0pr-lA;%MP?2&?HyZc
zNsQ?Ce|6c4M8uLIpYfh+Dv`$nrII$;I55#XYbOfEmcreYt4Qb(r61i2++FY+9V}Pc
zzJ>%iONlnjX+o^#s*4)?er@%}`g{9_)7AT7|Ej%Yo%AjarU#Qf%7t=|PA93=j349~
zp@GXz;2CwVS0)C~uLuo;`nO{5_G4hyDFRo3?epAdsBiu}Vi8*ok<y2^8i8GL*2Wtu
zFAtqY-5q-wSsS;j1AUw?uxPt5#vQ>xk$bt`Z4)w2F;W61yOru*2T04In|4|hBIpzK
z7#-uh*(YuG6e8uf9n+av$B!c^*zQ7&$d4@!FnvOR56N<P&wBI`0ia$OK~`|{h|p`1
z#WO;|#b$>#FfpNki;#A<ZUmZdPXGM;1B%J#SX%;ro6aLH<Bbk`N@+DKY{Z@Jk0}7N
zT-3m`>mtouj}#C%mFQmfWG11u3qSXCU5gg+T#wmQh3}A(d7QCrVVY?EvTs9vCNc8b
zoz4AL1ovrW1?dG|yw5RgwQd8KMgCkO0-bkwzW=P+#REE9_HPPZj+-%lIWF=CKS8*G
z0DkibtGPJGYB^tDi~G5>utUoD+&(R@c{3pTW|N)EqCuVoWQjsizYXfWO&(9du(h0X
zyh5AU9%muUB3JDte$eOm{>{+&5j1iDVoO#y7AYGqZ=|aA79Ij@J{}NP!0+`YmSFQ8
z>It<vGezkIn4{yPCUq%Y8a;^Vb0Zm`9Irq>usTm0=A6OJ@kd7xP+S+1#y`P2t#5lI
zLD2WaB8rBiG2CF0uw@*sXD=9&c+$h+Pwy%S!1VbLdX>3H5vs)00q9%?z3p6p@*E69
z*i;sOM-q$^uOhuSc=PU{`@t&HWo%z>H_||iiERnd?7nJq&`ZtB@wAW(MB>O^qvgi}
z1_ajZ(L8Jyc=m7;6j0AoTckP4MYi!I{Dlq`*R)uN$)iDj!l;;j^Hac^Hi2I4)fin?
z_kGSu!GFH!Z2o>1?K?wazr0)jgk3iEp1XKHk54@YYD`iOE_|GNhfakTXI46cK`AU>
zKq<*QnVx_{PBr`Z<h}R7>c>LTJ!8R~)w<;I<S*JdQ4G0lQFGZxA~zIr)@DZ1{YcXO
zNHGIP*0|g^7K+MgNLTzJb)$<jLNrLmjWli%CPUmln(BT<+Irs|1CZm1_T*vJYIWgh
z^0n)glA=eBuYdh=S+3J_R-a}6%kQkt70rJk+kYt*N_3eNkQ6pUnRpaRzx4N=yQh^l
zgQdpg4~ro|pl|c;Fo<2={ukz;a`mKWLDa?9$_b8#8mp9!?1oglnLX*=`J6nC;Nfvw
z0DqqI53zAl+HglbRZCZ}^8oXn6r-Apf68<RBk5GD15OkyHs$;0N>>laDsdlD*WV#m
zEFMK{&hJ!f7##i}F%I={R<&HDjDW!IKI!elKtG|=`%aCP$8;r`!FsGdoUF2i3iPW~
z+l*A#A=srt60^~$*I2Dy#*o<zj&5YX7-DZ)Gc_VfIZfG$kKAE>aQC&rl}0#)b5OC-
zkJ3W+9-L4)fF|rAtSA&neEJwTF0;$)3exZ1kAHePbe)(_??2pY$}e-i%F&x<^D!zb
zkIQ$~d@Cd*Zb92BH}5cJIc~O52@%Bi=;{&2sSs6j<?_QTUDp79pb&F4L(q+;|IQ}Q
zSZmQ<t?I1sQG=FVr2it!a?dXN#~?qngCi|`TEu%2yq+z=Ai~jVGHEDm8J(=g53x&@
zeV1H7$>VU;_j-7*=f=;A!Wds7>{0weE?qUos#>lPRNC@z#vem6t8{tFU+*#&{(jI(
zeei_)urrpm-y)kncc4Qe-{{So+xtqIRs~TP^esC`TJq5+CHtM&(+G6K6tpXH0gnv~
zqq`TU?U#x>E@qz{$`M(Kc(wc9Dc%NWhiTP^OBKid&{bQf>7VOz<CtgyA#?kZ+%}T5
z^g6`p;{kMvzeNZ;?ct~t5MPhZtupMnLi&|hQpD%>!##cU=@Ve1p9><kwtR`=rxA=8
ziA8xbnGB58@pO6A;B9?kcyJk(X4^krx$Oe-8p>DpTpXG?`<>8xIZ4mEMHJ?<Z$D4)
z`$kWX>BcGrKB)@c{MCI}#(`w|g<6Zfx7s9K_a?P$p4+;Fy9qQoo(Q~$y$+KqxvBNC
zSaqV|<kmD9%hG+g(1P<?uF{D-N&&ho(w_jtTxi`A?%W#r<qRR2j_|)f+_gGjnEKbJ
zpU*aNR%07ieIZk>pSA|~nl^gzFP(1KG0rD0(OB^$w!5~1MDiTh+KGW#&M$p@e1<^9
zDJDw8)?_}sAP))$!BcxL6DLMcJ9PdGXX<!kHkdbD_F`URn9bR6d+<|>WCQT_Wb-Pd
zIOYsmEO)+F1qXvW0$(a~9dP4q2A>*zfV>X>!jULxX2oK-?uSot(t$_5*ywA&dgBHc
z(&l-12T0;%c0g!Bm6Y8-XZ#m9FHpkeB5uVG>O+;bvRy@jwv*|QT7Yff$%!8-2)RB^
zs4v=VZ!5R+$+Er0N5J8(e-+K%!)coHtgrf!JdHUwuG;U3$Lo5R9A*I2&_Dr$&5R5U
z{0?dXLD#mo0TdVYnUqo*?&=p1hs^aL9DRT60QZ3u?fPP~>N1Gu<Bg8s(?0ZK9fUM9
z(|cAnt{)3K^~F^Z1W_0mh?@z5akN%$|1!4x>)6}4rem4I*^gkyzC(r*g3eG8v#x~*
z7&FhB7d1=!nHVP*S9hJ|1W+Yz9;N=n?A<(GbqEe+;E@k;wXGr27v(#ixZ~bp-1Cjw
z&XUK^nBakk+{dAB*Zs$D)@He7{q+rnC;?~1Y4vPd{}P>D?)v^|?AB2l+}-k)Y`Q&6
zU(OdY>hbyRh)|qkOPsJ7QY?J~^}MkOd7U-y^+C6Aw8i@}`>)!+L5xhLp1t%AWO)63
z;F%YE8~;d<+xtb8oj)34ufk+1q!;0Z7?*wm^>*@JF$AeZ`*KVKIg&r(RU8KrdD_7d
z>B?rHktEP?<yWQ{_-~(7XPT!ukEy*+k^0l{a9~1ZM*7+E$-G8IJ!2=a!98NvX_7&P
zkgbP>GlbOv{4Z%W%A#P~K0y0DWH-sR{s*A}?=!e%g!j2D$;qp2B{71JJ!d=%aX``a
z<3g&so!)9VO?CwF<ee>-xc~sf`$+qSkeUPou`yjKWD~}FxUUK5+I8f^rKUzTm%3=#
z3+(g1T&mWO$6yg6fCLODOssOLm&y9w;W>640Gaz!5-Oz&7((VdoF%=p9e>^}8yT{|
z{kuuEHtOd)5t$?>9K@tqI>X#Ol!po7cDs>LARfbQO*rpKu(o>D2)4c<M7yYg`R%a1
z=2UzPh5B;m<<;D-T!=3&&+1)7v^(fwYCi_K*g7FL7SwChj8K#V{X*5B9B~X22oYfr
zTM>8ZK7O7mNKgN@>FK}BPeAAOwnnWP;y?wBW;AA1u=fr+O@;OX2jXLqr^dcpbb>$L
zB6v9uhgzM_04mQsPo6>*B6P4~^0j!dn`+L3jq@)pEAH4gdKQ0ovwoBoHW~VzlanQK
zQ3_Q}RMDDl#n{Xx(yLaG;-s7k8V|S8Q-4_^S?a&F=goONj#y_VFKzc~2H~dqzkgg&
zNf+<y?6`Q9vvU5*ayEVq1+4idyHz;$yOg`!VzOOPGJWimfxYJTVHn}pqo=BCcR*0p
z3gC2wiX+v>kj%R|5=$KE9sVlGa+A<3oXK$Bjh`jM{pFSi86QuALdHpp*|LF`$C>1@
z2a=BZY=n31Wb>%NB_C$G)N+Z9mx}{nbdwwK#mtLfZT<$wYzaQfwcdAGHfgp%LjK6G
zmO5TglGqheDxZ2(qW|*i)a5T(l~~?FlKfawF(nnUTj<6q$Hhl8Ly5_dY3|C+Nq3Fl
z$%ymsc#^&*>S|+}_J6J~yjkC$-~kHM9lmO}%kR7IxL~DC=+!?i1~Kk^UC@zDOSiQX
zU0s*Z^>okV6HPjfci&^Izd-f~;nZkUzx~a3FV!YE7p(65*-|pTXUiua9FSk8%dm&q
zcYi27n2d=oqjiXbagwG}q@9o3H$NV^?eI+^&|BQ4M>N!KGWKI1kls}NiBr<U;nm+I
z&A}mB`mIa#%*K#AbhBa^Q`|&HIZaDHh06YX3`E=JdRL6lp7tug8u3>q7uaJ@c`MBU
zt6XwqeRS(GND9H&DcCtzJ$*0lC7JcU*Zy0kz^!eIo|{LgYm~D<Qps9>Iq?_gz59>H
z+w+6BUVxU9PRjl!E`i}Ts1t9{7<p)oRAdf0M*Jd6(yQ%9N?|SNNhLxe13aq=>u{<4
zHtNYY7x!<&WwBRkun^mqX$S~eh&zC}9{)_UJpOI5!ycBa5N-hn?wUpCqR5Y=suG&1
zM?F+R+nnY2UFoKchs(75V%nGU*Ar`N3Gln~b*H`6-y31f+KZC`amQ29I5)qB`8`hq
zS>GE$?s-#77(sq3;6F#l<iR>lG#Kn4qtYfTkVzM#En%Ds3sRF@J;t8~coVxW>uB(-
zKGMp#NBn7Oll~Z!Du}j8Q_YHy3HUDyz|t%}n?`s5lJ-A%`JL#mPM$Jzzc)Ke`tllA
zB(*N7aT`E^D-n`DKE9`l*dgAZ_k%i{r0ii=$mXJz@!xC7zpP*6K)e(t;&ymkyZ!a3
zdQ<QA=7{FsFEJ_bWiv^N<eYoA){%-vvG`f@D<xYZHSt|?9iSn6wcK&)w^93<72zn;
zY|7-3J=a2r?<J1V_?104$<rSTpiGXBBlZY3`<yfu!}WnUcDuL{E^q+iccs_A`b#$y
zNN8~Xp_eepEcwzI2ut~6T0YY3QvlZyoD?a?@q9Q>893=L=zVK9XxEQXrbQQfSrxy&
zjd+>0d`!0MMJ^w+y)tdAu))1>pt$u|6*0+1_|$)Y-<9lDEnTNuZ9gm|o%!M5+^n?D
zyJM&OIISKwC)}@c*nJy$C1&ZBRf%nHH(ntj=Y|?D#{#}A<C-Rq5ATl+Mnp<W*|47T
zq+YFWIsSn5L3b<M`d(A>Ll(R`q@5oDL9O=JGIPCW9gYtHQ~vIrSesZtKRgF*`J|JP
zyS3Bd1pB^KPZ6FnT3DN{Lkb1aV&Ss-TQIr58{=HnNpJnQLq_6tN5HD0-{r7p+?@1y
z{2>N5K-+mmaHmdk<^Ff7*_=Z7EUVqX(fB<#z+2Pps@8SWTln<u-ptnk=z05QEO0f>
zETGvQZ_?`3=HCTEx(K`+??!UD<)2RGdU%=^KD6s!wiCff%{rMPfuOl?>)7rJnYXu{
zPce77Y6G-bi+E&4t|*3z_I*Q7QItNnFE0y5U+Ew{xGaaNY0?3h6q))~$<_XkthWq`
zt7{r)C&Arag9Hig?gV!UPH=aZ0YY$sySo$IH3SO~++7BD*8unMyx+Zl?x~ueQ!_PF
zy?5{4-D@2^w{}>wo*sFF#EZ)68MM(2qXFc90e?4m_)ssChjgC#31*GsNnA~HPrheq
z^9cZ*kCh5Ly~zOn%T7>mqDE)$Pr&n=aNPc1bDD&AgSa{_jrp_vjC;3(@6fM+xodpH
z4S)ZenZ#KH&>%58Uh~T3pP4x?F{0C#8`(nGJAn_!g>IzlA)%-KFuL4#iUyu&PQ!Fa
zPV=u|OtRN|n75Da>x}7s5AuW@$i3m34gxpHHrh9U8y*GUolk~6z*!xy<J7I1KenB3
z<Bxg0=ly1At@SLu05B`3)o6{=<Uj^aeHi}I6<F<eQ}LvJc7D!MUQxmNYVnFZk0sOd
z1GFd`WXjiKmLQ0roxX@TE5OarrN_mEaLA?`@=k<{c}=s<PD_BI8^@jMi6bX@hl{hn
z|2srPQ+cJXpB(oi;RHHq5wk@Wg#j_~tUz!ot|6vFKpKTWTU2gGAJo>*+Yx<0$7EvR
z7J-kLR9{}Nu`FVcsH;Wo<Lf|(i+x~f`LEAfRPFRt)^NT8%Go$2^V1SGkY9wKF~bi#
z>PsuvYE-Z`eFf0$OKLK;Ya7lV)UJiqie$6@arrIafVZc#%9?h#(#|m&%O|k2V_x*R
z2zA*qCJ2)aK^zOll`L*x7lS4-U36TBxaB}&dDmoX0FYnb^pp1ZSO+SwJm+?s`BBoa
zA#TuLPNevIiC)j{f+{+f&6QYP-&YU*7o!U@7G>fAw~B5M$kVmcR{P8I4@(D#3x&N;
zX#8r*HttJU>Q@3c=jANMe20^Mq`nBzct*gA3TSC*r1_=`JXhw?p9Q%^jYaEzUlK|9
z4&+|4h1<?`=&)9${YC^)^LTC)oqe^mgxAn`O5sp3F$V~h9|wURPu>!LgeJx+i+?+*
z-3#eOf(5?idt_>xqnSL-oi)xRd55E!EumhlY4JAbvukJ*&tXk>IBhp8UN@x`WLfOk
zA$3~qpL)`(x2e9S3#!#p6Y+vzm3*k_-FJxLaKWN`LIhFY4|9G^ccfy^cWlI##vJTu
z8l3t!u|nJcYW9$iEr0QE3d9yENH5CBvU<K(eHIZYRh#vr*4Qtwz(7|t;{!wOm?K#I
zi&X7-nEsvL`e20(U)%`J=A;&ZxPHlfX3#!!Z(K|;76usi6w9O`G1h8E)1YB8DtbKy
zYt}BQkB_F3wB+ImI2PJn+HL^X&d^P##J`s9TRQ*wm^TqiZF#bOY4MEydZ-^8>w*_#
z<(E?IrJ2FF>rJP03YX1Xr=Tlh6u~x|Nq35%#z>RQuHI~&lbnC=Y3OCfluq;LlSREN
z`D~Az))2`}R&VrqoCuYt|9Q!#x<AWfEgTI%1-87tJhA$}{DbNofeI<f@gsa2Gj$DR
zh1AlmMk*YX`9R8@&MA&iP2|iu`H*H4@PwdQwQQxpjy(WFih~0fQ-nnsxcvz>lVcmx
z&vV*0vZRgN)3hUbhOk&ny567_G_vxp8d=I?0Vf7;D$JheyY(0}@V>ZKtuahh$E9qh
z>y(T%6(*Mb-P@?JNNAH%X<1p%#UL<ccUPtaM%332Z7xa#s5$qR;{q`Q=M)W+d&V~I
zhlNmpw(9LF0f1dO4j!UpwQT<|vn-9y^RPTDL?C2`stzydnfs|bxw;x<%N6-HA=|v_
zz8tiJ(#u2Z&|s0}h6@V|h&OXy|Lv7j`q7XD5a76?PG1(f{SXmTmOshOt=g`0Hja``
zqMhfawJeM)wf%rgN#8CxbJO*XSI$+fGq-nJmZI2Lrudy58TyQ7G4ec3pJZ_%l}$xt
zgd1Icdi8;Q{BR=`jD9mEbJt%kjS=jnS$;|LlQ|txjoU=|yH)MUf%Mp1D+if**`42s
zZbAguuG^L31a(Pmy_(^};U@L$G-~!d5US~|qwklJUO|VJsF8Ngh;E(9O(yA>(+ls&
z#cQSL=6d3D`C?kwBriree<z=g_e!bprg5zi1EMM2-uzdMbnq{HVL1<7={PRW{1YNX
zv9Srl*s_HRwk;dLo(su5Q1%KQ?k8BBb^Gz*i}HPbGLMBd-4#E`HRbc*PWiV`N3qrA
z^S0uIi*}MD<)pu|JC`W=4rzyQYI(C}eJvcu6tLBDilipoh_c=5)Q{uRQ=UX|CL+?;
z6>+%F8)iGs=9zV@0N=G?#l25jQEUmXTZj&ay)OSXmCLG>w0$#tipq+(9B5n={I2cz
zwQZ~IR9VxxSmG%HHR@mkcQR3*x}r6Ss2jD|AZ9>xv8v)gC(jqgt-zQ+p>!-0V@R1;
z-P14$^Jm$~hD}UfAGumpKU*^nD3fQ%@iztRm!dm0{2o##6gM1ie@l_SgQ<#V710F5
zBsalCn9H6Y9!Pr{oRX1B!9#Zh#Z?t_%@0~~&t^kAnbwn^`6(ZB>I*Ae9h2smZs~9m
z24ugsNOynIehKF~RcVICfkR(Q5qB$X1@j73jnjvntRj>itwB#=jzM?xs|kV<^G&E>
z{q<W>Q?k9V*IX~-?iX`%RyA^nZPpc8;rv=<|9WXGu3l`~?d(8LPE1P>IW%ow<lM<Y
zl1HALUz@dz{ifuuT|J#^<b(H)kLmlt2r^%|lT!znMrg5$dFJP^``M*_IS!hJ<b?BV
zpzSkv-BXMS-szdL6_5}h!>Sk>qUp|xj)5%EG=bUFPEiLZe&TVUYeeM@LG{1X2j~?%
z^}OtVn^r0z<Ln07q@C_J0@hEuE|aRinwml*;WGU4f4%dEWV(!fv(og_eRDrM(HiA0
zM209&{}=tB|3*hbU_r>p7LI+#k3&e-#Lhe$9v#5w|N9W5jki{;G5#|FaKbE5tgfta
zGG(--3|PwT8nU)LM))sy#i6v?8{sr2(Z$$f1q*Bac{Zd3GDazIBR7Mv6nQ4v(^+Y;
z5dmKitf{A``n(;iUb1*kjdV)hzM@_o|45Nc3052@Rq)Eaw~kz`Fupv(s8ayL>Y=qM
z*lIm?!X{KaslIHWHy;cmg<M~wz{MD`QA$I3$R(42sdAe@lhN40-X(|&3JNR?rO@S_
zj=f<z=$QEXHyR;IaJlu}uLx_S<t9Gr4kjHF0K(mbv3Oga%yCjF75dwom==E2Ag<w|
z+-`X*Xo47xU+hXBFY)F#XJHwsYhNv}`Qb=ONP<a%O}$!&aS6$r^q>M}A6j?JGOi)G
z>T)QP(I2Gt<M%>LNACyz-5aK4ycdVOpn?$OEFTO;N4h9&?=)qU#+IQ(-WdAkBW+pN
z{GcFd(453A)e&NSp|hZ5++S<)N54!1f6_4r9-NpPA<Cp>b>@c61FtR5kK}v8@W+Mk
z#JSAP1wJNST@@aEv}-jS<ubo~*tY0fU?mJn%1w*CQVM9gl9{$IC3J0yLx@}BD57dL
zilWu!=ap4_U*W6>iW0~2USq*c+C{Oa0`=nVg=LxZvrI9-?W7O`Tv5Sm{7#mG4#6qt
zn4y}{X2UL6+GMTxwXBAf^3GK3??dTkOGOpd8D&w&g~eL&X_XZvZuX|{?bxllG=8=b
zVJ#<F1ANqB+IgK*i#Giw)6L!BMEnJ=7}xP{ANt>?IK!nTPWLve8#P;E0mu@*d)DQX
z7yZd+pX+AvXY@n7J1v?Idz>IQvKYB~+VKx9ui74C52&EUkBlo);Ie41$7!l@W@g&v
zS?UoEQlBo?t~v0RhC{T1Zg1IBIKJQroB^mWcYj=noOWxG&L7oqH?vC&B}KBM^Ek*K
z%}l!Q;cNKVzR(Z49O7(}KnBvkj2-w*C4{0lO<;y(_R=f32xf<-Bs%;OxKkuF{?{hE
zj^jH?uuQ^=XWg(ZpeCdCR}ixp-vRfZ6QAquW<Ync&{i0wGJVoU8-ym1kJt%-^5(X+
zwf(DZY;<cA2Z%^KA`8i02-#;wMqB@3x=lU<InV%5Y6ot#g#X=?-MoppNWgsnQTT!o
z0+cVi?>f&U^OS$RHSa@pRuFuDLu3Hx`yKz2lapzZcwo<bC($+&6Ed*^#HFPrFoVhS
zwp&N_qAmJjP(DyZr&nAp5Zm)?VBZ0Q0g!tL*=tyg?>42Sz5ReyNtS!Aht~upaF>CN
z81=B~A}?cOAqn&RC+v@U*;ZICvSdQwR0c_e^bP>yqoYCf;G$8B4wSG_l7QAQ{i;<w
zkzSlznn)b!mvTULkePe*xi=8C-bGs3<ommaBk2iDf2kq!JP(QDrCr28N{*6`!Lp9e
z@QjguQA=!`3>e9;RYB3dbsd?=5kiNfk@s8g(jM8B!+x|^(UYrH_L@56sUF=yKlfYq
zyRCYOHb>LhDJ5{~D2XN>Q9QMIsieh^HCftD&k@Jd9Z=^_&%;6ESo!2B(sO^JZCcjG
zemY?siyPL!aO;$~3C3QJ`yh2KnL77Vo|%@JImS(TIS8d`4<oXi*!U05VEs78bE6RD
zy1-tL+Ro04Dsl#UhNJBz_TT9AKP`c(_L`BbtZce7B&6!LI381Em6B?f`yq1wn#mVS
z;))2cBly)eRSGYN;_R-de40qGmB0H6h|aUHQ{Enh?r^aR&i=%;YsQXfPfH%hi4q5R
zgZ~Aac~7v6JXCLiPwgirb9d2VGdayK65+RjmkqH$I~Ul7)lb@Oi;q;n)-RwXdB7^?
zHvBP(cEenyb~4``+ou0UuBeb*VcFD%D|l{n&bl(!W$Uu>@0jYd1Qw~u+2=&N(*jn2
zF$Fa_&>EvI+m=OQ=*$z+qy$zk$C=kpG8jAAfK)YQ9bCgkH5;q`(5NVl#wm`9G?N01
zv$AbT7K=esx0(2G@*Wlu|17~0-BtNc`mvDuODc@8AFm|S^h0iVSOPBxJW9au9Zl{c
zT;F;I|5L58ANya-jX!F>=h)PO<hw!{376p3548K6taaLQv2NNGaq&$Ezl+Q!X;jqg
zp8`HbFJI=;Hdj$Khg;pgLliinAE!jW$il{)nu-?-b|`tUh+i`8NvVvqpnt1HH+S7I
zX1Xs~c>-7z$K5oGt-tK!eM2-kKO`tvH{IWe4QQ^GZ*#2G2%06DTP^8oPKv!l_iFRv
z|J4FSQQkm?0P(RO%cf~7HJFjd>4I2blC#TC4>HmF&R^ses7)f8%oDM#-(Bn%!~mV&
zq#3UK;DWb(O}&Qih6A_{4sZPQW^@^#`mezrB}(PrX4#jETJEf9?(7C^rIiA*2{b(7
zbGYmJaiMnKg4tAj_dnmHX5x&K*^7tGq5^Uq0O26-Oi&iJ=y+K<2KKD4N->?2=6#pn
zMG{4NEZyWo#{v@uRztn(=i*-H5Rc-*(7;4N4XXq>;yV1vo-0I{P6>j=X_)+4x<uTZ
zL&)Fww0QXvCt4dmwW*50OTX6WEbU1t&cw1T_8KUW@E7|qB%NDjnO(Zs5Q&hZ@_>cn
z;pBtPOd|mT^d|+no8YiIK|M@xq3TN7`!4b&nyuZ+OvLq??7E7WmO$f~FRFEZSg8YJ
zi+dV<j2MO<d9ph5n4}EM4u3e`ij2J91*fN4NdWZ}-H_Yh&kL&=N~}Km{^E%zZCGVI
ze8DDd4}2t(`bkV&vt=8A*!lunTP>EfveyI4x^`^8loBs7B8NnnLGY39nA|QQaXFf}
zF{|!Zuj<qcW|m+6r#7;@;|q@D(Nob@@>M*bBMYOr%b(c(Z8R{zN?kxoU|89{)a?F6
z&Q+(raAE+^oF01xN86&+W=dA7sf#&(bSW;Krj7x~t+KctV`Ehl9cf*o945e|%ySjS
z`~b*80Ik&3S0yxwn&8{iN2bBFUS24EmSp=bA}lkfX1M;F#Ul9=`q5>CNTK@a?d!az
z&ImpK&wajsqiDg3dpSxj@}Fqt2RU53*4Xb`ehkpuW;hgA-YpLMI>ro?R{!}pKpeBW
zOpE%Sp<>HDHG(Jr3+Lo3T^Ny(byo*-y)?Ejmwxy#43u^{gvK&!3U=&vEsgMV-u6a|
zWSt2L2s+d<n+ToA?l8elU)y*Q6Z_6Mp)P9=>~+lAFDQN#k?kuGO1J!kD)o0z?~ls~
zW>FXOBr#p?K8UBnhh~U{DA9{>dg*HBfKE8zM+x0&!d6}=Dc?l<TLAFv*RnSwAVCI!
zA!Ic6*Igjv%l(hNO-T5j|54TQe~P2(4{tG-7t+%sI`r7Te3Se!V>G{7$@d#_Xm8ly
zCw~<{n99>pWA8~FElnH)u~zIa@1ZH?Ck9f{dHDYZTWW>18uOr#EM`p%z?jRAsz4MD
z*aSe?*SnW)wm_nRZA|=O-M%8>%_B2)Hm~P0${__{iJe$Bi}K($pM;_nvN`_4;dg}m
z7j03`JvrIhNT8PEAhT)W@By1(y63=`H_j{YUKEPBKW~MoaiJ#$Zyz70Nl82f?JT%Y
zEAcSjsffBL*K(k@>cDtM6;e}4Zgr%yaWsrAWeZf$y<+u=H<IXH{n3nsIO#F++1JVu
zej#@A0!=2AwaWSoly=iuxO~ge4K>TgPn;k}Y37_TcoO%Xq)-<DDr1z?eAM}bbvbG=
z$WaW$-R!9`jPcPX%=Nt9xL37xAZ!A9PjB)ynt2eNZP8p|->b>oy2x2&$zdViWcSbD
zL2%~&2*f7Hu&Vs^lrF;A*OoyiI`wkF#HQ&)8!+V!*{QZNXj^Q{D9;kdKZUW%bD3Ys
zU<vEw?58Z|se3KneCoESYz#j2w_w#a(BxFo<EAWc0EY=E!VZo7jAM`o<%;0CR8Eh#
z^8Sq?`4*=So<_&HK>3StgK{@=8}f}|2Lm4iGKC-eG?ghg=UPc)vFfFBj0F;Lm+=#|
zg_xV#b$4nl%*eRmVUN-uL6Pv$^g5FPzidi8$z<$Gil6iNCCKuxJdks|^dP04Qwi3!
z%++<KmisqNZ7uE2gt`1x907huQ2o9h+U=itj3!xAyOz9tAB8#}mx6Cj{$Cn*;%}%I
z!+8-Nx(1sAMP&5~GE<EslQEv?0TXwY%CYT{7{uPBd|qHm3t-$`;V=p=56cibD^eC7
z&J{p(JJV!&<01L#jE~f@$pBg10#;jxFoGI)FW{?Sce%zM<db%lSEW%(j73=l!-BNO
z7@v#CTu6dCVX|@cpk_dqKCee`;>fQ&uHc>f1@}>I$yHl$@ls{d??R0|uMSK_R>d8$
zO0qBCaU$(OT8;HsRePHa{a5GJ{#eKY@osY9M6%?wW}D*+@QhORqLxAOvH82djlr6o
zv$$Y@W)~$J&m{o);#c`Yb*un-v<EhEfM)+8FJ<>eTZz<Xmcs!R-<TH>55s161il2I
z^6UxS@iJ)DfB+m2TAXarZAH}}sSk3Bfj1q{(TFW@^_N`@YXkf1(cI5-u>X`lFnMs~
z8u}J4v3Zp9-%QEhDlnGB96+S}x6P#z3yM=}O(^qwiAIUPR|5!?!OXtzdV70YfXPr6
zn>hwOubrfOAb3Kvv$JKI8Ixo^fi3mCh#8FV#y8;I%l!V<*Tn-sEFJrCzQ~)UzU{2j
zfhi#dfmW$J^iDHx+6yP;|7m78J`Tz)x1%G$DC3|i8fcje^qzy0GCTYMnbWVgD`Wt?
zL*l64ET3RyXV=d<Nc=q{1a@X_jshFe$k7oU3JPkW!;4+B+91l<DN$$VNeGuoFU-Lg
zLgYEfzs8!hNs{<~umGLctBRVix*e>fWn}s}TnW~Ta9PvfZRcbKb(f_9#$oliuj<N5
z3sse|Da_DA)}nIb+W@y5JF$$FH~fX^RyP5?VKG2VfA1M}2YRP!`%i7iQ2Eb@{R8UY
z7gZwMCu7-GJK7nRe3wC}K$^Lf6srLvxnqxIWd*O+MtV+r0=I6_{KX7eWXXI9xbUU~
z53@rhaZBHdrnypEBTlhIk78YJXfqv(Y7;rOCJ!~nm93^+kvc(w>23|z9hiP^nGRhY
zZY|6i`=+=GHDjPFNAA5kf0L;Q@m(qPH0P)O^bgviSSshON}yj9Oj|6o7%I2Ds(~Pq
zBlQdTe_M&wTh;oXE_zX3BlTp6*Nx(3k!|H<Z)U4-on|Vrz@+%GR{NjFK?5+_#a`g&
zDf;^8wLk4icJ@>e-r)mYBE=048e1K4wsRparSQ#cBtNlP&zm{ddnYE)%gf8@lc!T#
z-*(owg6zYf-`mi=!cbrYW4;(7XPVugFs7e6nYDhSq!c67K@@^Ua&<piV!Ty$i~<i$
ztXr&^H4#j<C|QCtN78tu=>E8C%lq8YC$s<Yi#{2fdDPFJb|H%iPpX`~=PQ%NSlAsI
zrad9A>C7-~=N{;?@qPFvi;`mb4_2*KBa(gTog3NmO_|+gslv*jxypfmu@@Ff*1<sm
z>p7RLhbFL$=6|0bxxmmR<eFS1i4aXAl(u7|6Qao<AWwEdv2~!GAG|rsR@Cb-X6?Eg
zlRLi=77F0c))s7I8hB<tbio|{*QWWSxi!idwWd&~17069Y0umxFkkNn2eus4C2@W)
z#+`3*I~-1PIy6d_d%8<ngp$FJ(p&0utdH_u|4OW0hUaV%rhBB9dM`%WEUr6@hU;6#
zvjvHSUmwQbPJA10l-IY}wBv<ZsO4sdK>$WRc*C{&9Q~`wPS1IW`c2;yh{W8X{FM6!
zlvLgSRIGe0%Tw;X`Cmj${J#-3@LX*lboRvKa1nS3)i#h931wbCH#PO&-NrqTsz#(3
z`VqXLHZ-gB{(mT5ttMN7F`*~hOn}D=lwK3Q{3nDKpNu=|S=q0A^LavYzyF6@0boq|
zkPk^CCX1CJfb|B#`O9YOdzbHnGlO9l@#{I->$%Rc{lM=#<Zx7bWn8gp@+&K<VSX?R
z%a7qi`r<}73O0=(x{s|ta<lueoI|ei8gg&gz(QYQ=?v>_)OO5@Pupg?*0Kv56f_!h
zk3wio3V)iKY*(JHtjX8bG0{lRxFjhictBJCWTq+Qvu?UGP0Ed<=?$#PC}BwW4wJ@5
zf&{OlA}+7oloo;lBKk}?GLjj$s$z`KfXLUPkoa)gAs`y10{dtx(g(Bz7%o&;lBm`8
z_BG4WFG>pXh3MAZ?CkIwrJ0|pMnvLIZt-8ql<CRwXc(MQw6)2K@BKZJ7u@p$nR<IE
zh)A>XP`0N(bPnJSey^{u_$mXM-tyQ6nBm1WxkKHV*0@eSxY?)cK`<A*mWWMxy~_p$
z++y(<?TSKYQ+CFBuyy%*@_E!DVVZw9Ts@YfFY9Jk;1T3QuW5bk4BS}(8GvYfP2ctl
zn|D7Ci)9v>>e#qq{&eGy93xy%ru7M|HxEz;xJ3?u^qe1b6frDkHZG~M#bju=kq*#S
zxPMMQ;&I}0NPAyZPWixwng173>>G7yhmo_Byzjv`p429oAK+r{t(13i)y3n}v^nGg
zPosFf^j>X#R(<LHM^^UA%D+;(wwJ`~3r&$+-bRO%6>LZ1!-r$wO6Ac9zOfrX^+ZG8
zgoF~|o(gC@>hG>DSTqPg8fOyW<w_%tpT_013G;4KB)s-CWIb9%$9RPOgh8_I?ug8>
zDpa8ewRO_Zwm4yJq*cC#&c7is;vib;f$^17Iwh08ySLK%O-&_uC1W-)@7u9q8lbp!
z^18|8^q$y_g=z=zuCTJFK_Yw~cU5OOq*UuW_rQ~}i=RXMQl4lP2HS#76K#f!;6TRP
znln2Qt#&`D$62ouS-X;UJD7YEKYHS((@n6Gy}|kB(eF-tQ9+KAl~~2RnE&C{P@>WT
zL%D3f0i${TwaG&yhk#7uzXRe2uIS?+NGng?ZP<UZv$tH-BxK_>W&RgnL2q%L1VYg%
zAdl=n3$B65@n5uD&T==?xAy{%Pslf0($@Izki7<Z4_ZPv{OWL6eG{}zsE<cuL*^*d
z5Bd>g<cuguF2w!szq@V~D?AcNPM^X_8{(j+GYlpjRs6){OMFq+`)9zYYixH`_KA7W
zSj+~qF1Y3+ew-Tv>A_DIN$UhmaULdP+V~gUMw6p4_!C(-G0UHk)Lsi;fX17quSm<z
zzEFkC7IHju4WU3Y_)=_G(#;5ERpreA^@&f=tu9gg&$5NUD7!)1{@qW;adxErgG-hm
z>6D;>Qo491=CeOYM6Ew4Z9;q10hqe77jL1~SKFa*R`im4^=HAOF>Sar+9t1H#FS4>
zK~SL3J~JCB3AUzI3?tDd@yQ++f2W*l9Mg(UNW#gEnMQU0K4VzzJU&Kx<;lV1a~0`A
zh@AO6<u-R-35&NpVTI(Y$L;XNw+1uH`k}*qW!Kg0{gDYpr^=rL-s%#H*EvdDHlOvQ
z^s1!y#3iod;>P~$Y|U8o<|}+wE{owfAUz-%&GcP^dEB`GEcPEZ1_D`*FRCSRwTY6g
zlU4`|iOins@DhO`r=Hz<ChehQ2kgOl=L$`e_#^_xjD}7u01mIISP5j#l}qw<$p(*t
z^z(yD=5wAIvKd-?quw4G(_`tb++t6vuD{~l2t1H%ie_K(g=y;SAdklw5i|^B;~O<C
zO7$nHTVd2EDU2(=;<Mq?wRxGe-#%b`r-x(emyjQjcytX++WQB0$v0#ity%uO6Wl_w
z<uSJdCGu6GfzD74w`fMl@VR3sG<LYPe1x0~_0)v=`I{V_r)S%~u22&)>Q@;sR7Wma
z%;6nW;T{?-Tq5IwrJ`Ue#(Z!<{CMcq69+V%QZSnqj|IlwoskU}$g-)=MJ#*Cz+%WH
zjCK?Xt2i}h8%NatC-osSz1OE(M=g?>|C8AonEY!!^1=`KCTC$o@}?|*v(#p9hTEOg
zFk(q@a{iaEi2+US0Ccxwz|;LJmcV+i6-s2u|7X5U3)HVd@#x&6U%5NI+p5^hjxkB6
z=g$Lje?TuI3jN8ZM~O}8GeZXNj=t=VQU=o;booDt@y5-$)t<9~=Epc@k2NHi%Nmj}
zMSZF*GV(SSd@s@l#mTJ8RDu$ES=OShNN{HKHdN%LUnEm(nXnJNsS{<LTgyHDR-7+t
zR;1+RERa~6T-4$``T)lXuIp}pBUqKU`1{?qM61y!h9nbf6%&bx0Quk%YVC@m{@PNc
z5%um4B7BdG!vOiTY7|6kmFOlTdT>uHGnVc0z)Ud;!GoQ>n$|=HB$)>n7%@#A?jIth
zl(@bl3`QJJd|Au4<R3)&qy7Z1a<o`%*HWm{5?=ck*G)S(r-`-K-P5=`Tdb4tPvjL7
zDIiL3tmMua2-ISKgq2#x44--^lh#20AlJJ)%*6)kx4~RpH6!}isxT0X?*OY?fwOak
zMg5pjdd`CLppX-bSp!aIO-vsC@F6-cj>fA`M7FA0F_{4PBh+El99HR_05wND<2oix
zTJ|a2&QqzpK8=s$EM_E?HRg$S>t_O2M*7*$1JC+(^Y1r82AZ{9;xFAY4-PexPmeGj
zNX;j1DiWy<?ei`La}Ew{D_}wH=~b%|kzW{x7R(juevP0@YUSN!*e-t_{80oKK!HIX
z{;gWesqQ3QF4_09a#wWwHMbJf?6b2xU=QrYwJVsoUDSyh2qpZq9C@Msho081gi8h@
zoI5k<ZtFUtQg$wH(;ObDA2D@1tQ<GTN@SSUb*bJ{WR+XCV!vpV(%gEw!hX?%r4)GN
zwLfY;kt}cQq%XMU^S2hTo@AvNRUV%H64W*9hvMf7PnDmHHjbk*OTHJ>jUT*uOiVqy
z4(j{YNST;8%ovU^GGic>$WJlDm~`aPFX-RI2)HPgm+?t58)*3GZ2z#yW;eU3STG@*
zVsOl~PX7JwCjv+lCQ@NL1ZJYIGNQ#+P>uWO6uZ9tUoaSjlj(V5tTosoxJMT{Z8H0P
zlP`l`zpW+L{{AUOFPeRCwEy>^j$W-J!J2QM%DFEYxD{FR?xfF<e-4uU(<b&VbI79*
zI12qQhUB40kG)}lUf5{val>!RT$Sl>6D$8csAB)l+SeiyboRa~D4{X6L)_^UmUm~!
z?Y%EmR$9ET>;1qy5zP#Ih}AawVMUx#p5P-4&)yZu`>`@SlhV||wmedSiPm=>c3=!T
zZuS>c&SH}P^e1>8Ms1nYNw^uNZA}>k&WRTtiC<8y#LmqFRcenzcbY9TXFL5{bSi61
z50z+{XlpWuI+SCrwB;v%{=@=Ynu;nOg_^~>F79qQJc4ntf1ii2>7Lk!K(@NO#FFog
z`HN%cgLa;sac@zcDVA?KwsQf;((mzzNaV$#SRSrk>a@c%bT<nFJ!OAGg(2@e`g~C|
zY-mBgO4DEm`0y@)wx;?Hz3XkrSlS;fiN&?V<a)31@FI!IwQLy#9wIP}nYa@D^~3up
zvw1xAKHTAds35SUsFAsjj}q&LBuM2!W^3ng^4$o*e%jWWA?A}20u1@|QnQ84$OwZ9
zC;)@6OWtW5dk11b;ip4SGtJ@wao{)n%^mGUWH8@>-`v&m_*#FLW#o+gWxmA6duwbr
zGs$I440BivlNav01j|A|57*c?JjguR0yC_|FWBV(8CYlv1cYxQ@4hL2=CvsrbuxFq
zyms{$c5ig6XedYu(yUP4^SUmzC~13icPm{M+*|n$ipx^Ig8{L?3r49P8NYwxPaLfZ
zP0i>}JT}I;Il1ZR6K||>(i|DmLex;%q<RvyjA}p>0MT0g(1{^G7$43lxNxONL5NLN
zRcmpVZ2^}>1O-9o!kQ=#-QX)3%?lP?M>IG^hg2yaGOa6qxO*o%DWpkl*T%@n;P?%p
zDD8GsLldvO@KaxZNSnYum#B`EaZRky47_j*p}RZtRN&xUBt?;7q=^-}HmImE^2uI#
ziTmKYW^oC&UqH3xxZRh^AK6oWFg_{~BA=89wzagb`^>5tO@;ejuyr^EWita;Y=5AL
z(#s5nDY8efRPhyUOh@d!#}V4iuM6yZ621FE+2G?;UQo>AO44>VD4Sww=9cw^-5J}L
zFXc$)q`AI~UZ~{?_gZ@V7Y*DUBsv)B!F}l1mv`&e3^ZBx;xo+K3-qhVs-?ll|1ZPw
z_Z|Wm{4D*zTHd1jgNXz9eiNRJ>Rvpzr<%%B7h+V_wBlgpKl*+8v<!a`%S^^=Ma)8A
z3Br(7S4lwb1Ne<XBCe?5pT3HuAI1?-DeNl4mN)QDO)Mz4q1u9if+X-nLcbMD!$Yx~
zQEMXn?+HOJfjaYdA!XBN>S!>-@_RTKRF*jFf`};3Up#&r^?d$i4hmQ<gZy4uOV#Ir
z?`4aaWTqyAnnrYzIzz(XbX5-_tSPe+7OK(?{kitN#Iu?z8c+W=fHY>X*7ZOY=$GI8
zjl?WrWF)s)YBrL*x&HdXot~b~V!y((;{W<AEhBS~%ME;!@OrdmLTi@VTp|t)N#bxM
zY#C|kKOLfCVq5=2ny)z+I!=fjwSRir-p~s)ZjPwUHNS((nLGYn!r7kN#AXCng1dQW
z|DBbg6Am#eZC^7n@>9eBr9ELOl26TiH(CYJoCz3$i%$U-&sUqEM%(x6CYvr+c;oaN
zrGLy+q*?RYBk>d<)$=)NbmSop>o?YFu*5L%+QF&Ru7|a6ZihsVyGy7?=fjBEL}mQT
zQ$3+dYpykm)X1%klRa`0<8NN}BE%^gs0eyd{3QH7z&x+PUCao#{C7oA{t+5mL`3r6
z7ID;et^O=^Hfn4m!`MCeMd?NlyfWyVgY8BRBeB|O456u)V&p3Q=!{7lL^Xovbj>Z;
z09Tp<!>3^D6e)7mDJ$eev24md*^1&Pc)?XXyPT%EI#m8s3Y-l4d6q>#WZ8<XB~DE5
z*764b=^_rNfa>@)bfftqe5fQGs)U`Eb66f3ljmvK^TG13WNi5TvW2l~k4ZGcUDIJy
z;*}HKO<m9@J!G4MIaMhcedY0AydFZoeP!nlQP(l<djP+-SaW~GaUWbU5IjFc)pVLg
zMw(aqp?p+%G7XHRom%Du?v2yz<$bSCEysX^<u5x|tl)+UAPkQ?ixx%FkS;Q&Inu@O
z3~GpHD{4qj|3!j~v|~p-Cikb~!#i~<j=x1ogZ;9ziMu~T76f@tv3H5Zx{K948UKtU
zCGILzyU8BG-qUZG2g;5ZC%Nim=~KIUM2aYt;Or}K_T++U?!)UpBes7blRPU?w-r14
z60MT;tToP*nJ7Zj;N(0$tuIz375$;8d;0JSBqBNF<Q!9yG^;CwCCj0Lb|7}+Df=9g
zK!0zH<MEwecwybD@xGvZF~KSK2w#laOZK2-J=_B2=b_>>eq6M}2W($iPCU9RC$@%$
z7zvz({@l{7iJFi0QVPafT)4}n`S1VjE!pIi(fhTSvf>`E!!~47n5S!<W}))ws`sy~
zF1?_EZZ)m;PelkwS2gEu?~K2EtYRVv#2^4G9}f2hRjQ<>3KAAu{l>BxSljKr?|Avd
zP^}w7&fCT7o{R_H`LxxfacqixQ-_|Qi_7DA$XC>zvVgzi*FCnU&8kWvJpQ|hh>KJ4
zqfb-5obSY&d-Uto?&yD&PQdhuA}J}^a@O^<B=q#`2mSutzl#|EzOgL+i+f0nhh!=y
z@MJ}BqX8P=^!wWYq&7Zmgm893Hiy{QSe|(&nQkG^hqj|!P>Wa3k*CdGG*dXlvF6>Y
zPz(H>-906f?v0vW=b``kOm=haP(47N3sfP1a`ay(x)=x=Jg=Tq+Q|DR{A&jW?}Mb=
zQM~84r0Wp#es$+9p?&9#=0D)8LW6j+6!p9hitd4N_5hozR#?#2`u}DpOcv|Rv|1cL
zkb3XuRl#eBiHYT_<-YfH{R@zXfBg_R?u5XVUO&}T6~8|_UJO@4BimmBQB#eP|8D`&
z8^|j7yh)Ql^P%vlWosv;rn#&ZlB9^$;SF*~WF92i8QHAauPGz^Xdd+|s4{OqLG_2<
zkRU605x4vmqC^y}b#Kzb{$enWTTTIm-s}Y|RkT=&KrWepC;HvGzyI=Ho_Oec5L3&>
zzG2))rR*QC4>_;AcD2CzCGE;JV3x8qgfLIhzbn$X9*Q&jG%3u8CaA{lXjc8MrQ9Pj
z)XHumMuAhq)Bnz%VXYgk&FS{b$D~*ug8%#K{o>QbTgjWf6F{-})`dA&i1666h)H5*
zqPFr@j-lci)7~a>#msYwTz-Tgg7j2~)-frUr;MNJQzpvlgbGpF;O2&=t)<R4sBcw9
zFqwAy@o=sh8W=Q>;uaNPC2Q+L6}we?ZrA5~Tb42R(jk>p#L0kxQnK&4Pcpd#G2UMK
z@zmj36&OEdSq6@NXZ8t2=@ioiGNmo0r%BM9%I*R_MObdmD65Vv33h{ZhI?7`AQ|L*
zO+gWk6Lkwp>wz-ZV4dIE&~~VeP?7zk?(^>g!p4@0Fl`zi(U)V8`5hiKl#G`kCh0^f
zPzsGlu;IG4B?+wK4eWpfFLhqWo6`1QefU}@TjD@tL6f8UboQC4&OgQ|m=(TN)dgMs
za_;h|^Cn9biojy;%hfg8D*f8!>84DH>r>YbP;O8|1#+F88Ly|Hze&)+SQIp0p=D<G
z&E!?b*x&#ge{l0_Zu&JFTD=R_I34;=-q|c7qfgnHzA#Mm2j5$)Hn@+HHy2MB`wg)j
zMtE~hoHv(VzOxiH@IRWHLGn*KS=*(^Qj5cjzryQQ*wni2k#@AZ(FC%-tl=w|IW46B
zxyc@1+E+AKG`*{HZ~LCbov$C&8Lq{Z?6ZJ}`jTxzRqtYeg89_Yl50g%o57T?fp>F~
zPP>)BL-ye+<ko0`6Mvg9FWDF|ZJc~R0L6OnvyD<;zYd1!DRP~U2vubDbKbxbo}t<^
z8~Mxxd7CHa=To#mPWER-k9w^#q4pw&{7}s@gY5AS$Z(BJls78GzdLdpyOkmwtyRDr
zB^7wj?WO8jmfJT}#!qv92W9UBPbpf{a$!oA92un#@klsdY}-S!{!ZpMW%>>(6b#nP
z7u32mSq3(()TrtTd!wFbWn@wtJ{>jtF8ZC|I8_y_J9%H5XcbSMm741{Xj9sM?GV!U
zEK%e<kV<~_n>9;aYo{3&ApPrg0Tbj#5)zrYd<}x<jSANJm~d9f^+HwT<r*JVP38p6
zl^23Jicm0kp2TlV)6rzbkNbtx_UUP%QeJ+DAoLv_IQH!C=Pnbz0rRl{BSOmvE+fOQ
zWOH0q{UOCDEPq5=Wk~U9ysyjgM_NI@s_MXem34ZQy<1Ys4u&rNTzPV&6G(`Nj`!!A
zP2={>M1a}IaH86<yI?6fDd_`0|5ItV91yda3aPQnB>p7+DDigg$Cl;&jB>A$kB%Fq
z?ruHg**bUB**f!=8>dZ+j&_qG@<;PnP>9YfWm0rZ$BQW4+5Avlj?nGaM;8ZcP@XPV
znlppqQa3aooR~y*QGn%j4^th4w7VMA^U$hgsQnF)mOFe2b(O6Zc7%UIBes6h+mP?y
zK1RTg=R*&!^8KMm7R5?n0(d;rZ_J62iTgf}f404-6zPK}E7-e&(!UH4a^9BqeR<fk
z%Q<o9KLy+t?#oR2ZP>k`Xu|q=Z!1uys%1n(w?Yf-^reqDH;O=mIbHU8<7UhJom7G6
z!^kM`!bMYyRO`=t2X<2FUc*<7jZ~oy##hq`B2&l+`^pf~i4vvdwL!jS(1?OVYG`qi
z9MoqO{FjJ|ifRm}g#+ab>_dvErdngU$K-2q@uW|pT2dgi6aa&B_Eof>zov{&uN(=_
zR6oGTs#kf7zGq{m2S1(*x|kPj(-S^vvzHdBvcI@EW@CPwSn%cGZCw?9+%Et+qz`KJ
z?d%v~k?{j60Cp{h#Ow`AKB4;WZ>p*Yg8F-9e8pp>45%~(-^0!_k?Tks^{^P>14%!B
zspr``se%Hvjaf1!wjH7GbIiHkj(jahQ3*Lg71L+E2S-RCWQCunrDu52>supE?*ciD
z@{f|=s>@C0#?(osdk2Ctnzy`!7EgH74=-Y->vW9m;mYNbgy>PszqNBNAcR!QTb7be
zUBX1Q!{?YtwWO!sRr-ws$FzsNKLT^iA>*+OVhIjESgf5j!X`gog=OLYnw~uhSJ17E
zY#v_NF-f*M;Bx=#tS?}fX+K|7Ym&UV;g2G;tz@HH4ACJ#ujHm}%+8ehMhhv?hCYBz
zVxO?-CE6bE{2F#G$_NJ*7=420bhb89`sX%f2IRvFI$yp&Agu+_5Qju0Lq>x|6%l-}
z{K14lIwexb9qmqVYpX3#5${UrS&BT+{u0dK^~znc(sILzUtKw#-PeX4Iwj6>8;xf7
zYPGl%xqq3Bv?h>HjTyiExJz*tujg)iqVTU#>BLK3HV^q?MuB=pXcYCmUCz`x^_bzG
zjyy1J$dF2Z84P|>WS`o-PnvX`(ECYT1)Gmxs#>DB(ToN2(FXJ-mw@i<vLc*D8OS`|
zsXu*Qz|*2TuMayYJ#^H;No*7Eq>0D+j<s^1wp1|fbjt-wE^J~#W*yzGYyTzQsrVv1
z(REtZ>w-!sQe^!j#3Jub$0?_Dmgpf`bzO1-f+2@tw-J`a9R5s8$oH<%ufW~Hspoy-
z)H<Y4SPedDtRQjDZ{~t(&)~1*PdTjRN)=h*)hZ@hj#<m66N&1|mT3ulRZQH`oKW>p
zsBv4JP$?lpRQTyknQa`zT1NMxbFVm32jO)Y=g$B&?rzMZKIMM)ok6iQb#jA)Lae`P
zq<%V)+KBFjO9&@Cc?2^d?&iqAoz7!$NS>7mD+8EAR<CnHu#DTg?aA1Bj2oRjzcf<a
z$m2@0(oQG3{M=~ll3T3f#MxFTsDKruiy7Us7{KHu!py|<*~!T%^u*cO`TVW<kwb#&
z!-o$}hhNn+{+S%krs_?Qu=f5M7k-AXwtYpk=5U&Fu46&|x>)tB)nwzJ!R2h){9aGU
z6!iIqR_yK=`Fd!4fDtcRL_Ve<e=-#1Y4~DoDNC!n`d{K8<%davSg-FvL4AwSev6Bq
zkO88N2@Zh{Yl7_My4nhHK9gMWLGN*k`{Cxg6NljFIQ#@&(#}<I>>h(yUIkI{uEG1&
ziOulYEs?KqT%14qZg;cv@xAtPr^zOyqKU%?$^41ciscWE75>YHc+Hcpf9HHOd|zVT
zzxzo4SNHy-?_{4tJwMbDnx-+JU~L))U)DSJ?|;LeuD~x^JZN!VA=l&dW7!J%MySNj
zMN;~EOQHR|AMc4Asb9{O({zm-_*trqRL4~Xz`Z!ipp~n!_WN984`59lFp;|AI<{Pc
z1xZg)(7L+zmj000PY{4#ycPH%n-elgFm03y>s$LV5$0|y;1$dEmicV!Pqz^EH1>#m
zwoYj|qNIxBML!+{=z|kq?*j9?xL8p83X!R*sj2+C3(d9saati^iR0l%!kKhog{&I4
zYP@$~nixWa5-<Dny`*F#W;$jWI<w|+L+g;cm88cvHl>OReuSTb=wEjj`{@%{>&PC`
zDkD6p2D+v4aq2@&>q60M54nprIYJg%R1f(<JP1FR$jk&NE0jf7#rMZhKSc_rDF1T%
z<|A2ArFQ7;@?(!(Wr^n}`Z{-7iL3opo%4!Sp|QYEKU5H%=A4u^`S%m?nV!ai#7jN6
z<rwoU^<ljI4WTKxpI;5PZ=Fx}oA%vZMVCZku!<fdXBX)-ax_P((P>W;lSygzEJHE?
zyn3fVQlu=st21f2nA@#ZSii-<{ct&|Mz1h)8zvT_EJoDe#YSDs#lWqd-mI})P`4t7
z|C5F_<o&7wr8ov9%#&TmBd9Qz4qFF0Sx-z;I5sCPaAXke7YtN;fs_HPp8F?k$!|vK
zmgg`vCn6}xw(H-~xX;8IlGtntoZah)xP<+gYbD@0W0bLfj{dumI0&8l=q`Xl<li}1
zAj+`(kKeP?ps?_KP-kl;=r0l9KwO8>(s_<peT@%eQ6tf9A1XX-kt&%3VJVe4X!7u)
z__O8O`_WWci&8b{EIynb(ce@vrkwH>=}6tIDvw-cLJnHNh%=_Tb04|B9MT0+!sJcp
zW`qljkKIX?9XWCTL?2%#lC*Z$t#tL*h_hc6x-qP5QW~5U8wk@ZbFh*!-YaJDYj@Rc
zh>;G7vaz^|zltizYZh*PCy<m?9GwqbQn-BuNBZZ2r&+f$4iqV<$!iJ!F*$8i{GL96
z{}8JdH@03}MBQQoi`rL!H!8+JI*3yJikD$yjqZWv6|CXOuIP-G5xJw39-E@WIR!_+
z#5%5UY~7b^5?ILA+v8k}O%XE#LuZlthuf-3s_YDuiwPz<p_GY)KUwIKLU7Z^A(iIf
zjCQs8IAE^W7d!Lej~jMx9$y|UVuu0q)YR12VMpGyzvwG4pcMM113T-yBgJJl_~GDp
zmGL%aXcnvi6lh#vUE1$@uoCuu8%@@9HDNY0dm_D9zK^;g2q^zdmhJb7B=G!#$HFL*
zzWi-u0J(4bo8Uw{EmA`0?XN^5!HYjpcs*FiCQ@FEnpNwek~wDq!oItwDSfT)(zxFe
zl~4DlFc7Ep7N>Kmf|l(fJg0@d6Hn@Jh?rXCyU2?5frvJ45D0ZP_(NI3r2fHle;gQ0
zRfXsjao&fe^mT76>#em1J!bIYuKSgw)BEN(WsE?eqgL`{3UGM!*_`6&;Jbqr;5}iZ
zRX%^-iFCYaXU>^K+dJujph1Goj-2)&)h5GtIll|f1j9oO4I{?glX_U>f1IfW=B#j_
z<h(qP`aYKUoR0(gpXI$DpUopGAY;^2is=749pjxZN1AVTIYE?(;5U9-WGA8RW&NnZ
z=o@}4^1S^;*3Oq$9i`|m0vBMv+O|3S#jt-b$3Hq8izdIdl>klXp8WClBofcSbJH~l
zSkXQ>$vSz(ye!;DJ+UxV;~Q$Gm~2P-_v-pId$?(pK=(LeJNVY(cnDwN7XLdu!@qzC
zLo8lB$ws)2MOiTWV@Y9J?uNs)E*JE*ZqJ?o>%kq0@6%&A?U>xz;RN*<#-EPO`}5<Y
zyRDS&PF%b(VvqtqBV87-1vqUy998{p{0?iRBo4*oyQ_UqQPPYX)wdX>IG@`b>apep
zC;Tv^RAV#GL>m!k)Elx1ERMYmR?~_ev=-3OmP6hGuP%K(4Yd)$`}Mwo$qeE9oyHPA
z+n5XrVcE%tV>qI^ayNA8jEXN~4qT+v-n98=Zbj$a*2>GAf@53tHpgdO=*(L~vgTsT
zI%q_p*xU}EFeu$E@>sCYw158V+M{CUuO=ir8fVh^jbZ1R8J5AO-vOI`=u*l_G`m84
zeTha(hid#J)-dl14rsP0SXP0)z+J_ityLot1Qlv6O4O8uTV44Sb32|$D2!v^OJtgd
zCHn&B*vQ!Q_kmmyw+h__?k=EMd1JTOtAdaFyGv&Lix;`9GxuJCUR1-6N^Z3mchIQ;
z@+&spOw&t<-dZiE>6}znTml{kN%%>IVbXeoF+w_llFJXq%<50Y`|2r!9)n4!<f4l~
zDaYz(<{wgeFXn<uo@^lcr(d;}9W28xH7>JyO^jDIRP{KzghOuWMC{EG8#I@5Eae9`
zb<pNc7zTX|Z3l1blKBwx&8Oz%8y;%=rehD#w(4U@`6?PsF%8Ms95$S&97-9gKO2am
z0&A*O`Z>pat%VJ*kZv7JPFLr<NlhOX_VD>H84Yt#7}bQRFTeL1S0sc<aiP1Q)rqP&
zuh6Jn+h?Mq>J1~$!I6)axD`dK-OaWsmIIPUY?l<@mnuoj&OSFBH3&Pk&$PuyV>AX~
zJ$*5zI&-9Hil51%A|qc`aT8rv9QcDt@$iMsU!Y7=Uq%@!cL(icumE8&%X*u)ovqCi
z*^XE6bSvod9x`85EmhtwMw;*zS3bMP`AJI~!}h01HpWR?Y?`3jmR#MEHWvl8^Ra&!
zlQf@@Do~S*)_!v@_@O^>wESts+cQxZM$Q)uO9>qLY?~ZDTSGsSHtg8wpmbal>mtd6
zVA&<Z=)bD@lCJoX@DfCTuTqh1g%=;AsjO=VqILFON;cu3X};w3>N9;>MmK{i`E@GU
zN7f6$TH~*{3Sp|%Za=OY`ETb>v&io0MFZ^RMBK)^f74RgEl^2)j#;nI*1JFbK6FNw
z9T_xNdZMWT%Ifow@-C?J{lv5yZHD`fEtXT?Ge&4Pl0zq9`W*gyV>yDZ1=SErPCeMW
zzk@3mP%L$Z7!fYh6ZI@e^Gal}g7&%PJ)sKipU!*m_|JEu#r26=`m_<!xEo@;@Pq;r
z6V>IrouLPm$O5vV5LvyQg@2??k*)h|>u~r4E;M&y8dk1^$E>eHcPq(4Q&I6D(V-Fv
zwU`Jw$H&)v9pU=7pU|&Q65ppC0i>32pve9}2mhz#{|NYR!*8DdE(U8YCn<b^b-v~K
zcKPCZTFFDhQa|KXJ`FB~A0hPFz*pM^-+^=`kl6+eSb%^-tYADRQFe|ONr(jwdF4@y
z#YMYThlA3WP`A%UBVF{ii(h7M<>c@FA?pbkkq@BIN;Y@6>aiJtn6h}#LyU6gAcIX=
z8u#~C`dYP`(FJ`MqPr+3l>2Cq)z`{__E&8bPz^7Ke5)xwQz|b!7#7cD0j871SIoip
zi6(`7KW1ZNjj&R?k%+9T9YF!*QtBN-xZ1a^8SD<1<x$6F+xx4-@r#sMLs0k-1}5g9
zM2hmtvN&K`dV@xF0HeUl*f1BK#*Z_tA(ZNk-41?e3GFCSR;pab<#TMPA>R&b@Q4Ue
zH=i#@?<?)eK)<X^W)gTd5AVhQt&-y!oqa{lQjt`h_9~Yq|1&quVcd?sv%aaE-XTkO
z5BrK_oL@g|P2IrMV;{LB$+Q20a6)U>Q62|e&@Ty{FbjrH`ndMU{{Cz^n@DePDg#-X
zOs#`|&eEyp<(SkA?3XB$aBbaT*B!@lqrkBAPuxAhrM=n_;$pH=90+G}d}wi>Y5Q@j
zKqqf3ka$^zF{V#G;L=5_kgfVywo3dfrvDvteGu08hb2Rv;oDX8F+uAn+`K*EI30YW
zZ<o^hX0nOLhV?M>Xaqr_=8D0y#y#cYX7_VGXTU#5jHbAQ#?N3RyJ_N&hp(gj$9pDD
zqL8S3+jSEDN}+IZlI-$;FY!IT0`5R$LwzjSyldVIV9Ap$3r+t;nyY^Q(Y><%GM?4r
zQbdoX0nQuS?DtMX<D@eYSkzWn>$?*7X@C4IKSq(JN*>Ex_ibc-dilpm-dHbjdUMki
zSOseC_i#h+ely-VDX6iYhJ?2`-hRC%(+T{MX$qv_(;OJ6{f?ggjC0jXQE2NrG3Byo
z%_Iprjd4e7uJGMwv1iw&xG~aS_H5_EP_!wK*aAx2UBKaYr0+RDmp%kC5?VYLHz}dO
z1y~XeMTRA%^YBvVw|x4%b<Gz)HZZ&U;UQXNu*5{d>Lh<QW43qqSW9QCM2ydzL&zJb
zEn~7S=}R?;Va?m1%}gPqGu&8u{C0G@h{JcK=~j?sE~#VvW`wdTxqmk3=~(P;%~8C-
zTAcG?)#dz>bH2A+=R83vdE<tJacvd-Qk6Q5#3o_8sXPhDls_e<*R_<{v4W@;7cFGP
zo5R-Jq03N{u~Z4$rS(f%NsB6;+=MQ2y}l-Y?>w(Z#Ip~g61UP!Ru0+<cae(P$J~De
z#afwwl@CmdM`OZ-L)N2TH!8=7+P3komzH#Fmzz#X{Yhg=KK<r3Ise-gbAA_*%)Rjt
z&7r5sgNV0%{Ta;zm5GipP%bj`Hw((l|HINXM^*ZL{X0`lHYZNzWZRr<YqBQWwlUeZ
zZA`XZlWjNe)A#qb*7>J(Yu)?QIcM*Wc2H`~fM!sEvaY_!nM^+_l`(+r$Y4;ia_OWy
zfB$l@M}!u>-PyD`G;{5#jklm4z9Pz(>23l4u|VCK7u^GfkUPDEJX2K^IH<u6L-{#8
zm!nTi+pqyO2fy%Ctk<HQd381iVx`idV_f@&g%;t<HEPkzk}R!WR{sop(mS5Z!QtwJ
zWxl~qnaCjn3G_<B#GF(k$2C{so@&qcUvSyymI7m?#M7TrmW#;W?FLBcKds&0f2OIT
zI600XnfT=J4EB7zHyWKPhlBHk!~2H3dE{U)l`W8gx3DN^Z_kA9{c8ImE{8<G^%*b_
z$l~<`Mh3BMb-tYYkCVNZJMI+2xL-D{kA5r==&J@yCB@e$So@c3XGvP)zwm=&uY~kJ
zP~l^ZE$@<c^Gd&~HG3mEkhrYV0F|0nv+I`J>tw%Kbtx6^x;N58=MzG1&?k0I9o3!3
zEm+a35ptZ5l{5HbsT`XYdlqvx=&siX-xX`Q3M=n9dFwtrnD|VW@AUW=sSNSYjj1QK
zCUeAv3iH@x3R_gLpk%%0J!1NwKb#Y8{|H2PJ~g|&3-=pvmQtryyS@o{+@6!2E@^pb
z>?Xvp$1~XcrGK>>L<2BZ)vkLOC)T-7p%$2u;<#*_89SAwR0#{U{tk*^x!LXy=UCh>
z^g(c6{RoAE^e(r04%ge9HD8#Jjf{*^7>!^M@VTKtzgo0_QQRT*E97tlytoA3uM9J@
z(VNzXP|8*-FPlMJflBbC4t6!Uj<uxF_OPM`2KS&_hXdl}V?AXp!%wG|c!Sre-_^A4
z&~rs$S<0p-*~@mIR>dK1`F(f-DFjKyB^zuxB<}t|=~5~Y-`W*r$eXs0M{xZ_r{GB_
z#U*$6nI`ARLzg&RkGNQ8D<f;&bxhi=Y9i}QX01w~mvE7b)|udh$MJ<$aM>EJ*4A;^
zrP97O!#0Q#f_!s+tf361R`Rbeh18s>vORJoc;eq^2<2=Z`BZL*g0od{PA`O#LK#Xq
z7Q%Pjz31?$_s3oQuo_!i)Yc?5p3WR~iiQ;!p5Dozgb{1|II8^dfZ0OWgf^8H(V)Ii
zOcR~pPwE^{{RWTcs~3h(zW(`ynsdc1KEDLyOWD`qMfA25I5S-%Rx?GPcd4FW<|q4p
zm!npqaO;DIo%~9)l4ujBB8X{AouY;|V%W!^+KZbVz$Th=tHFczUwv3GQidpmI}Z)@
zgt48UlQ&^emfq?Ab`ul@)OabGZm`UO+-vb8hhYm|1x_Fz8Cnl=*PA8I4W2I;2Kx<$
z^bQJqXi3Js3zCk}C$@7cZq<&ngdVk~OspOoy;O|pXOpCbBeSvS{&GcD`GOpdu1F;l
zx47BN7lz6v<a56?Lh(TkY~jj;N{@!sel2G+%>YYEj;FB4y}!RZ`}yy_cvP^2>3t#p
z>cKwZ$XGNCUw;fkSUlAYMh@P3G*-zatxEMl@!j7gVZ{JX7=;y{oL=(c6okvfg@H4>
z>{~lV?~ogcj3x*2*ktI7_F|1VFHB6O!1^xX8Q4DKouYWUe!M)fUK|9&`_aifvZXkj
z-%fTi&=ZnM2&oApWKQ8R78V%yzxRJI2wWf4*WwPz*s;iCOXB&~;?h7Ca%7VY^7FPy
z6gbtaa5<hbMAhk8GfJ5Ew=-wgX;t(O>x`Y>AK0BqYL6xUku13^L`U|9^Uio&P|sjX
z#|U#bH#c7mko+erY0kIJtC(}bN!xL&fD3SZPft%Sz#t-e!$CMeM!2Z!jR!PB<iOmE
zkTjdluNPhayov^QX8m36rX<_lOi4WmA+=KBlhNS^%6oYa<F!Jre!u+^Q1O0s=x(?i
z@LSp|>xbNPufCj8g*u*&V*5sDo4LL4iTHAqK{1DtikGt*@xkMgc8q`ML;@H=1E$vK
zO2GT<p{W{7Gz|e<nTrPh8ev{NS2gJsHFVlBl8g-&_WI}z1PRa{{`5ph1?%q{_32}M
z!8T8;@zmr<@~($3OTGvol<+_~V1M^G8c3OKLZtHG9eZ26G3A{gkRSon8X50CUWZeJ
zXz1vU_r@}?ncnZNmdmveplZFI&k+QC`23@*?;qA{An%|s&AK;NB>WPHFEM<+Ju3R%
zn2kSB2D!N7zk&_|rIqR%pVMolFoC}*hS77@VGjPh8~g{C;lHnj)z;4P2#5$U@K?ZP
zl~yXn)4TrIHDB%wEavKpBBbUauf4r<J(jl*z>N7t!ESv30vbT0IwmBd4wmWe0sXN+
z-||RMndk_j7~-FE>s1kG(^*0BMTh}rDW>MPhKo^><*z>>dDR>7S|2T{0{Yb>{!Mh@
z_l3h;Dm$`NK245(&z+&Y>5pSqojxj>YhfJz{2lc>=tl-;gH>EX^L7x<<;O%Q;F9PD
z{0UP9s8(}RS6=g+z;MJ*plpGGl=|2dZDu5)Sy%?fGPJz9wrz5M6QXRfnx>X7)aFix
z+d1%1;3%`D0Pjq?#^HkI#keo1hK3%FaNgT7y7A?+0zVnybRuvA{*Df6HEw@Cg=v4b
z9F6{bzV>r0g$r$$>`q{E!xf9I260gKIGljTg~MY5>HfTOuyn7j`qY0M3W79TcIVVz
zX!dd=qbZw&7@pv4J=~`2PDVAD#1=uQ^M*qP++V=se%S=%!(qQ)zbYz^HU@YzWO?q;
zcwaC3P&Y*5Sb{vr>nMt$3LCx`tqN(aY5|h5q1lxEJjRrfhP-=7oY%4%eG{p~$71WD
z{B*CBST;0&MJWc74nX%K`AfI!Lyxp{Q8jS9!t;3HD_so3z)+T^#?2mbUqCx?61|R4
zs0xiD?HCvS#)GyGA=q;CLsRF(DD_lae5$Fa=^raEnTxrw;c49&*1ffUZch%j`!p-f
z>Oj=Euc$F(Qd)0RAlq2@Z^3*U^KF&=-G-pK;|hx3kxg_|OZ%~&w*gCyuNa+p^F^x6
z1;7U&y*fai=b3hN%cr-JWuJ)lZpq3pbf6KjQi7S@ROE4Gro|_B!Z9ZqZOwcX;E<sK
zEAiADO+K}+Pl}8cET6l!vgY=_n?KA*gs@?cXxns$)J;eh^8GR{%WUaa9#{8^&{@`m
zXOmWvL{>$?n*SH{w&kM1UzFNQYx49+oT4E#T8K8tvtE)j;Wzvyyz30<YO$!+68fsQ
zC6G>?m@Hmf^y2S<kiE#d(51UQvc{>{81}SZoY!BNu=kid%^6!_O^3v<LcXlu*0!kH
zLi??iYBc_+KbB1Cl7L7Ra(S7Qy1LIw{+tSdkPIJBhaU!w2`_pf5QxRl$|V|g<on{y
zj^n#ek8oN!m^yi{H_U~zeFLtK#Kk7XU+r!e+mdp5Fi+vlr0Cb*J2JA5Sju6e9(_Dp
za<5&Dl&50+Gv+&C?8J}fqK5<a%`A!UOU2q>E0BqnW^6g#4Y<h6=grO#Wj1L|+jm)K
z2r5cYwwlVwW1m6&cG8w&FGV+y4I*5noiL%%3&NpXk3s3AxJR0pE5DhQ*^}}!bP&=r
zvuuh`(Id~z%~Fo+^smNmVzwQ2o}_WErc$FnQCT^~fQV0hQhO)3)+`N~|IO^awu@Q$
znPp^_ljt~;YuwjPJVh(X>JS(^#?OdnCK>E4*LPyIZQu}F;yu590*&WuGamI(tKAl&
zYS#aVdz}+@jbv}oD+{f@m@`~z6#27j`OW&^`d=OT^`|%X8p9z3tP0e=n$iLMr^?n=
z?8wN-KY#v+FEvu@cXwZ}oT=%w;qj09FEp2Lq-5~H3C*_Uc$<IvQh>fav7v|*dIIS0
zhD;h>E(PweaS>P@rrHAfe}}h;Mf8B}l6U7)xHuoka95im@5Bw$0tI21ZRH+3x!*7P
zFw&~3fw(3Ob&u3A=(;b4Gp7QFY|U6;Vh(*<^6R!kZ%oJtBDR<OJPTemm{J?75kYT`
z+PED7;6hcma5U{lIKRxXz1r*mePA{IFQ@j*fc`~a4}LxwB^8y%@0b`EWR_xGW##3T
z&bg7oL{{^fzDefgCZ9WtH~s03AL`$FIT$-|_A%gwipv#lWrhX*)q8l<O$rO|aw0&U
z)Z~~U@)m1_cleglMrjG=8vbotcex6)m?q`{%ant1?s#Keh(FN)bT&ImJ05><qA**n
z^`3IaA8-AuK=r1VV$v7El$h{?-TI`5vvdS+kQh5jt8~K5xp}X8Jggoym;{|2$VT%U
z2yV$Shqw{cRJ}K<I`GQ!zy3j9?7pqHwQ-V!-hhAnb*9(GDDY^Lsr9*@@w9_?ro{*b
z0L;Z>Zc{l0Y9Mp~Bd0Qd#l^f<+GvwS7^|SdgmJO~7~wD%)Q!6PkV81a&LejCC(@WW
zldBzi63_a{oxmBI?5A{h$gK{A#E9VJUv4c;MrZ~hG1qKp3mk-<vp$@f0Yxt@71+|i
zqB3TP6@tZbxJ-+-F3vWqWl@^7Vrd-EPf{kB$Ur$m?9U$PdggqwS-o+YtsvReB8Pl9
zw!AI571vUKKAAb*T#jB-ep|u?Hv=Fy3+*!QC*o$5T)e{!?db4qX7QPZ4j~uf1GAC+
znSvF~wgpU0XUTZ#F4nw6{GaE$-sa~&?_Y#Y+c7A0b0hIBhP<O#>UhzppBVcUe<xs_
zY#v)ZnZ0g=8eU~c>}FHJU|6q4LGo&?tu!}iGv&}JNHO{Dk5BK2FSTw(SH|`U;0X)E
za27NuQngdb5r0R%=SYyC@dP*5A%bOv<p?lOxJc93m2+z?g=L7blDEh(Wt8R1X7<9C
zWv0C1@ts+3sOD$lv0twPs)5kiST+g_ShT=3u#yao0Im8`e%OU&_=vm)f->;7%BC*3
zOE$}EqEEKIK^rR*;MGpsoaNfhm3#JautI|lL-kTY`j?026laP4nQzy&XBF{C;m5_?
zYa!#h=R-3hX*KTdqv43tz3~0-@}V_n8iF2N;nCx>S3jL@Sj&4mB0LH=Q+hjMEyRM<
zVXs~)gO*Z`hJW%BzuDHifv6gs>!#jzQ*Bjj(pfYk_%g#J0cW$vPN$-q*O>I-dGC?H
z_t}09e+ZI(Np#4+DMwE4xCQn!+F}Wr^5#6Ybs|6LJwoDLQzh&A-=n5h=q^?fqbD={
zn}M<hqH25eIE?kU*$n-QpIXxjQ;273%z?sjtN#*CaNrPwc}0@xSN4_b@`?<qdSVpe
zRDyj@wF#*#K2Y|bBQs4IB327t!fjhKKe8(Hgc*cO49kQCneU4lJ9>}-ynRckf5Sks
z&P^qp-U{gjF^GrSK3Q+4CN5jPkbo4=gBJ}G(69>+1+Tvgsm*p5n|Q|A)02BMiyGew
z<WR#dl12|Yu8Rt>0ez}#b<WW@3}wsy(&KB|2#p;NQGIim%&sHzgrE623|PGxHl2av
z%JbI~<iJs+vTZqzBLlAM=?eN-rguyiOxYkNTAZjHL$_~T>|g~v_P>@Rce8<3LCLk+
z=tke8{U<eR1>aJGuT;8yv->U9>!lww)SyB0X(Fa=_pUFqV=Q|{jM=d*5yx-z@33F|
zp;xCb4mr`B+VGrSmUW*F`LkhU&#g)fmXX8-%@oKgDe!$^?c8$PxL}jfqq_G*h>_Xg
zm4ZE%rhY+%Q?nTwon->&&yGho;-F0TI`I&{GFp458LU^MgBeiN03QJ#zy@^@+nQ7x
z-!u?F13a}1H`mBm43*?ztwuY!;lT#?q<u)yIK@>KgZEVkyR!wW)y8+$S7Msbp}T|s
zWYVJ2z90$+(T6P4@kS3;*ApeNzX6YbDAdo-uW>Id3<mBiWB$4mIy(AUr9Jnh=$SY~
zUYLWdfx}(cFYLu6g*6tzy<f0<S%&%Td%pZCtF=<QEj7Pc2Zsw1aZiZ2$J;a&3|DK(
z2Tg4|6pue8=tnw(Ex2e>Q2lO%(@Np_^cEkSr>Q^-KrImf)Y454&n()pG^Z8?KrP#|
zsd)6=vp&ow2C3TmPKv8`j;MLV&A6|;@*~_8F_bE{vQ9N`71uTIwd>qn9D>b?$O_8w
zDkVh;PCiw}vSrEP%moe#+B|56x0zue-Ss$?y`s6BR8ZEOI)@}0mnx$+H~NN9>4YLo
z7vB#Q0pCvPUDy*#+*9l>*>S>!;8K)Utq6jDKFI@mC~mFhn8mRPCzd2KU9DWRm#-{~
z+3YOncfO!=kGt=dWtIM-6sCeb-fAI?zB9)^YLJST-)je{ahk*Ga1*0UVtPcW((G>?
zd^6DPYZ#<T$r5!lxJjo_EWEWSSZ1oPPUKY5{FM|Di*ANOYgclIE%i?E-!%$$#f~mC
zLZTzf9;F7=%VDbis7vn93>^KzN%;Gdf~qBivS3ZnbW&iOOoX}})vfib<SV@a0FQ}0
zaxir3Fj8PR38W$OlFN&ey7Wu1I3iBZ5r}951LH>62zt8~FNV4_|D~^U5!6-UhRVl3
zXXmTZ7LMVDl+=9zNIhnj#~KSw2o;ZZJnCfYK$+s5goR2`sCnI#Gzz0Mh3-7F*T^;b
z(fjpZ)lUpbH0)C;^?XESL?~p+w-H6?&%;@i1$bMON6he{T;L<zzlj~#xFDleDpP%0
zX@4-Z*Gar2uA<v&5M>>4E`T=aQw0w%^6lE#=}vBMG542*v(FCOU&rQE^~@*Fmp11@
zII6g#Lr@^2JT87NCK+rSD$m^?=!h)29%~5gc~MUEFKQ#$B9&g>aOji8vT=ss#1M)@
zo1Kf3)+H>QqcPh@3d2ZI7YBoz5Rgw#ssHIgf5~IM1=W~L2L_aPPngRvBW3uB_e?f4
z=>`)Un1-mKNHI-f{FysopYHPZ2JqEB`fA6Mg@7bV%_eII(BHki4AexmE(Gk{NSCr5
z?N`#No%mE^$KC5(d8`Zu(0UvUJ&z5N@n6IsfV+=)tQmL5B2c#KsZF(_|K_PcDuc_1
z=T3Nz&4~@Vyat5F^X{Xq?0}yn^ah>L=1^-++4X8Be)MuC{`<pIf&-?p4#Q`|!doE#
z*uvs#p`%TiLF9Y7OT1)-s4+1iRq?JxCHTG?^ozYFQ+emrA4YHc)kcrs8eu^xVK=Dh
zef4@^`C@_8Hc5~-n}A%47L)8piccc7s=?LHz~gkZmxB_{EOX7zVH8j|Amf*D4l&{8
zX5iD|Ye%ahu+G5_CQ@&1{sm5Ua4(jX@L4NmmLT39a%-^=T9(-duM>u*YCUW~83&o=
z?@y{&EFOi~s~ytC-0loNjV^+wjynveh4~&k+yNL;04?PNW3*xKxMYE-+1f0t29_Sl
z^0vb=z2^jy7JUJo+uit3@l^-?v)@MZzk}rNP29ovj)q5rCm9+~XVg^B8~_KfmFcyr
z+xA~QAf#K4bZ)%pcTVouoF|kJPw#}hy}q{l81|}G`xAO(WCRHzI47PeTUuJ$<+!9M
zn*zq`HjhAHcB0)G^5$T2Xe5#P3J8YM8&74y;&P&ScmsO(sJE8~Fwp*Z+9En(rn2cm
zpG$)!3t+&72mMmFOwp!?Q?!T7)-@*_G`Z`6SoXY{{iNE139IjHPpUF!JtWp(fjm_}
zCY}p{7?tI>`Xw41#NA{B_U?RCq>U2;Fvpa>fFQ6FL9mBnL$ey;qN4@_l)X%o!fp7C
zYyvl=^9`2%rwepY6vcq{W?G;eeVG4?d5zPZ4vm*HG4`=AEMllVvg@#Q`%8spj6u`x
z5#7ShRbtksP<TuLh{gdVIpYyBJV~_LVJDSs2)tQU(tY_9Fgt#4gDDJ#)n0FI?RN{B
z%>Zr3$yJUTRC$8MU;y4|x$M{5E6Dxt^(KYalM}A5+YbWva@@uXl{X8~et)b7Kry1)
zbh9Rd=jN2O-nY-hrLDRmi}#Ad>BnttoUK;v3=<v_595{A8@2GHEi|KGpV3M`4L35R
zVU~UcWX!|$<W$p<im+_Rwz=u0P&HVsE!fRY?qFk|X(Yl0{ex<L8!}Kha=W!i#TZKm
z<x<c~qxQH!L4u(_R+}Sklr2HYGXFUm`=oQC7}w))Vg%0}7-Js5Y!Dio*^habv*Or_
z8%DaIKU)^A@#FDTrcxWb#tK$AWrA#A_~fBDif4Uz0lDEqC-*zz5DIyPl9a5~(JM*N
zzA>*#o4=X+&d)KCG%gq(eoLS~)Ak!FHcr2g4MlRViSgU`{oCa{wJbLIRMgR)$=Y*Q
z`qa$SXI^$8uhI1HR0swOYh3uzPiGOSuWqS|>n(>4JEoSp<g_a-Bw=*c=!0>`NTETO
z6cwDyNp-%S5)E5JGhhngO!5a}FZ<<FXr%gF<`%oAD5vWo=@C(N>`8>~;H#PM9DvM3
zLBZuMqrV0AHybXF*mcm+(M=9AeCy6Pr_6?aC*}4l6t$TdHKv@5uVnT}zo+JYcJji{
zS1M+-Y#*Ft7Mqa_=L{*Bj2b6QI-}vVs4qnmG8Ud0{3W9+H*EA$QAXb_eCYeT>_6>o
z3SDcbm|aTsV^)|1w{KerUhQGei$=ZvD|)cn8{TZ3OC?kJ>0rrV01k7D>R@O_s-Oi3
z%E^VQMnbVTY9rP~r^xNLS-Uz4cpN0$SDjM3a^mBd(}nT(m@<Yh{o}~FMpQLx`K-Y3
zYh#kcLH?%U2eH3nYwakQ#|KkST<7!*^lXq->n>oH7_eR~9+Wy8@94rQ_xDve;qfMp
z8hFD0q_2slMU%|O%__brW07c}h7k2lF!8(!`^Z-OHv3NLvl#PY;34A-4uL@Tz#)u+
zq2W&{QLQ{HQOkdKl<S$AHrJW^7Mfk7kj7Foh%sM;^B4Sn$SUMH&&73R)WmUP>ZmFW
zk$^Yi!#y!RKK`*Q=xsK**MO-LmoD654IKc*TVuV>`9X!6{1q-U!~U>70U#JUBqDx)
z#8;**yB0mHFTEAY_`!$-Q9uGuNjNbN8=wL-fzQ&{9{{{yU(k1JgA5fG=x-&?quwby
z=;<5SIv1T0{H~zxSr-kA#;s|%+dnzR-go>Yoq*?Nw!*f?=S2fuPBxre{<%ii#*GC|
zj1oWK#E^jm_T_POli}Ua>L*YkASf|xHC#C*#NuuT=W*N5b>8$?a~TB}&I9NmoEo!r
z0UGsJ^!xLQqn$(2PJ}{-i>NMLR}RotTKGn9ZSC8~Zw8MBWH#Oar#-#47V&Xh0ODaP
z(AI|gg;mp;2&OhTNUhDu$|Trv=5V0`r}O!k`t|*xYY2dHL%|>sy3HF5wz_?R5llF?
zo1PCn##|GOaVX^AcwbcJtA>t)96=y-DoI>JdM<B@p!{S#ISu5X!sM-u&ROKJq3W&{
zd}@pPor>B>P-@hAOTW6W*Y9PQ?U}Ne_`jlolfjz0x;}5x*GrP(=~95`Qdm`gHyN_}
zY7`6v>Z{c6&K4YNHl+_jpc9d|{n84+xrvLBzLi7r+Is{0(ngP_!>UWy%C4AVw6^Wd
zUXS0nxt+flT(MVr?{zKBY0ZCJ6}W*iMa>Tvn*?pn7lVMWXS&VV2E^~>#cOV15uIE5
z$!GQ`pl_Rh)-}O_Ag6S_=9M$xG$JhaLJ#9Ja4o!Kidarl^_{k%QOkOVqJ(iaXdfmj
z4K>&!AOAV$r?oiPS!FqjP}pgte;$e2_o&qV_tUA5x|YFQO+7%pqrjXyFkRvDEWlq2
zU*=%NX!R?>@2GIP<L=A)&XhPN7=HzKqSaW0a05V~5`xW%0C7^?s1JY;&nQL$WUx?3
zY0Q%0n3U)G26Px<wR=jKIQBL%MF<?_mVCu{Y3n1inH1xh8b)$BObon5k#~60uDrFg
zsY}-Wy_h5p;)0_yP|AF`Tc~35sVP(vIgm?Ol-M;sS646nfnv{%tk-An&I=A&d>#Og
z_qcfM`1m%XT=D5@wSbuw$98*b?Jj^YM~N>jd1(rY)p$-YLL*Lo1pnLAREbrZI5CNm
z#B+wJ1V$4owqA%8Til4V`1eVQ#Ed9gno!+fjaNBMoayVJ^WZL@JN*YJCno5_V<NmP
z&W8TAIlB-WlK`Qm+brGmc_o%mRDVFKD2g+{bBAFH6N`jw-jtfT&}hl*+I)vzR@`J3
zsFx+W`nz8e9>Z%wo+2{6a(AyHCIO9Xl8HM)L5lJQw*ucMPFT1nJu*GJFO(kUd%-b5
zLsftbBHNMXX|(0&AM;@rN%x<I3+X*r44s%TQgwQD78NtFV2&)jmM_QjyidT$r&kZU
zAK~J3HoB7o>iGi@FdQ|6;atn<#avIFhwXZyNUn-7e9`6tj5aOH?;5?Y?fA|}>S#I5
z;V6_D^?3`nN_dnMq#PEk8Dmzt;1OPhanuY2+Z5*{5VIK`)rIJfJ&(}MCbwA3V#Fyg
zGqA<CY{Z!)YOOQ4!Qv0hm^G-gk5{=Ic;g4X@?J&7YqcD`*L3D-u%HsBBwY*W!*dYQ
zoccdX6@wFMwPbk<BlB>KZ)mR1TA%9W23DWR92}?5BSzRLE3^~VlGsb6ncB{o2|2_`
zpL@P7s~ARHRQ>50oRPhSOGOa_Bs~P=?e;1M@EPy0&wxW~%Yk#1Y&mMnscriX7%)Xa
zIE}#S=A@rzg6Wf#rt$ADeo87A##{VLwz~qY8#(4yp>_O+xfT2aE2G<>SPfXehCluq
z-s9ThvJcD<|NU3cH6F96qaGA|@|Op|$+SK^5fe%YXH|W5(R9`?>8dGFzZWBWifwu1
zXTIai(qac3)j{?F-3RMqjUhnI(5?DTs+`8{*Jwu!nT!vjzdh%zTnvfO@j!Yj;UkAK
zeb6$MrRHrm?W_KkCznqiCTFV%p-hNesSkj(*=sIXW25~}inezkkeHq*4>L?l{qTIE
zZ+-w3nQ5mOj&*1BnX%o|g_xC1qIKoB&*nr%VA&T$AN^Dp^F8d>tJ$Qme>2?Df;(&f
zy>AR9Rp#v{lcZf>fq@tq*Hc)Wp$2~(Mq2aO)7#qd{Yaf509=W?&;}2cROMPNums-i
zc+<u8(LCBNPtO(%jm=nG$H%{(%IE~xqA%Ww2&a_~Zy|4IW)wbxpn?(b1SKSf8CEOR
zYChMfoi=Z#W?2+RH*e3Y$HnR!In@5lF()brI1FgBfWloFgvyJJ5a(KJ^q@}}1{BQ6
zM8QQ?%VjqSRvK>|jOh!F+_aH&)v@OKHH$Hx*Qm5{A{4PabIJ>i?SxYmR!@F&9a>zi
zI<12g91J<94k_1pD}qbGO=YaxXA1;luy_zyX&ewjiZ8j{iQyJ)M!PH4c}M`Xg5X{~
zTt^^P#;UJ9i{D&+YDHbqX%@#IA1xqax4iUhCZiK3cV=jqAiSau&il2XVU{W@toOn_
zFAL9EV_Q4Fjq5DGlq|<!+NqwC64Xzm(Y7g)=DLEay2jPL!=&t$Rj#8k-njRQrx6qE
zz2*%uqb-ALY1(^6*BL4qU3J!@MQTZ3GsEfWR#flg1|51bH5xQ?i;LfxbDoWEAyJ^x
zCHIsfx9F%Kp^^`&z)4&%Hf!Dt(j!c?H*?fh9=o7OTp!q}dzNTW%Rm%7D6OmOnjN_S
z$+kH&qa64nbzN-3NwuBGrT!dsQvX+f>`5QIS*g6>&V2ze%e%o}BkdA&=f_R63!}BU
zOXIUf$3wD7Ij$eDWE%<`>_tfH4@fq`M=XtJn5>hKweTsVbx1v@&Zq<fT{L3XNtm5N
zV5B7}qifRgz8+l2!!+#Xc|y&(#k?tx{-%*xs|;*Db}37{d~WP>d1C;jeo0>SJyMP8
zemnx3ve!c%j5rIe*>&57<Vz1X)`fa;TGYEM)qZ^R|9;69tgj|Aj?uCyw(Pa!pq~X8
zrq>7VW%DbC;-D)s*4lPI8)Z(!+6s=V?uL>|Yu&k+yf}D)rl3jJ^MiM=>{uk@G0W;^
zClfra%zdPluinRRrkIGqvXbz+D=z3jG$5^Vds3nimOmb5#511+Eu2>%sIfj%4^N)a
zzKi(qjX3eH4pe?+V6zCTK53v26&DB~@v9U|9-ul;xW*?QWks=YOz|H6E%vj~p$+g3
z!@S5#K=)1Tw>R$1kcc`*e|_~Wa&UYeBUA}2nk08<`?MZaocZ|5r8#wkc*tZt)*Xe%
zbqQ$gc4NixC6;J`IC#viM+h{Lo^%d-PA(c~Xuzu6j53MmQFm5njIle@JB<~;j9DPT
zk&?y-gNYd-y2dPrd2dkm@Qt@}IRw3-t(E@R9w%Cx6(<?~6ta)`sz_F4cR0}k^hb9b
zpd>K?Kk1H^z!brU!Y<PJUmbSgC_<W0U&68wz5c?t+oP;#{k&HF$HVjH19wb9tdOnl
zcg}J^$eKj65-~W)KZFw_9>N?9CT0CQnkE^R&Sp6xt4eF-zp8_c^X=2y%jQ4ccc7Ho
z1*l;$AQBG9JaopLH|`69e+0f8&0?|ejg%Aum{lWd5==@sO<UR<`8d=``msPhmYP(w
zw78MB>YmfYl$f*j!TO>bzpx5JgF+BBJAyB5?~H+N{0ms9H&5~*7BRr+-m)YUj~{iv
zKZ~y2XF(K`b&Y&5#solB)!!0ksx}l1%cge~toaF)T4?YZ=*i&v41&W_3i#w7MsF(4
zVBKX8)4Pp@kjSEUw&JPw+M`-re&smT){pEUCEM4l+2u=8hAvyK6WLXv4JMuk9$E)g
z6u9#ajD9tEe|>5O%F4@|tbgqlDWedWT0XV4j7qAieazCPsX>5-`;)r5I^Hc6p{<)7
z=G{&U7{NBM1Qg-&%_UM4>9Kd~zT_5hAu8H^(KkQW11zL~-BvSo<Vt?tiKb*FteEi5
zXb23w8#Q@yVC~%#iB0<TJwEYq=-?##&vtwaJ00Q8m(UvsfR5R##Zzmsgamb0mjYqK
z<b{)1A-?|MQ)SMy&-bH4<4r$=NpkaYbCFLL3A%R>n|8W;S`pm%_!w%dLH}B=uuV(D
z2t1pyY|fXa|3ew*IoFNPpgx*x_lpipKp|xH@S@Y<wtZBTHTWU%7GpO-i&`pJySy6z
zBVi&-+914$Hut3Jt)we>cSz|cYG`Bcv})HG-r<SffIElat3fy?jDopwbS}xwfu^ob
z5NTUT4vTHcN90!|D(f!2dYwZd)d=8z+w!4@CEdq_XOHBqq8V1n#|st)?M8S&?<WO0
zExDujEzgPr*T%JJua=#j$p((>C%mAn^QSl#%>PN92R}cS=6sQ&a@tw1{T>p}&;+I7
z2w8Iog-Xq$JY_Lk#)77QCI6iR)E{z|DwA}^>J>rsQ!|#V@I^kfaV-R9fvMj~I5gHs
zdkR}4L}r=pb~?;<K*Z&GL@IXYm!7OP&$-LH^c-uG><MwDSNi!l+3O#f26I;3mnJs(
zVCf1=cD(fNvZ8x>B^xo89Z=O~p_7sM4?T4xPr`;Ds8$QP{Xr4t^Cb&-TUKVpGFh4I
zxd@rZNd7ItZ4{EH;si=fl`v<;hA@fq(4<7owmEL^d4nj(mR{QjCJowQ{lftG9r~gB
zF>irM?WOgQB1<bO*3q=R!gdf|4zvhRlTOI1KhB?N*wK4l&MTh+IEy31`Zk1brfU*#
zb2~q3u3CI0ZvUo_r&1jjhBl@TS{?gUl*ET50RnAHF+)kxhfFntH->t{*K?5}zq!Bk
z@yjV`se0r4)dpKzL}P%ALr5%vh>i|krL2G@g1xkqd#U{iDaoTAebq^+@mAoBi$y;w
z`$3=aUx<d|24m#+@CFHr!;Z8GWZN_(Fg&8`M7eA6V))s2P7o3?DXj6sNg$uL9Ru8K
zf5in&_pzOd`*3}{C&_47;HGn==@fk21xede`)|Jmgj{R~At)6H9Ab@8ih)60S-^KF
zLbD`X;TAhP+qfoPKKjb=-g=TW*S!+!!S|b6ih0Pz*1OVwzWTC%sb{$QnghE*Bu{0`
z5xFx-n2*g~sx+#aTWhSLWH95rO3h?MBo3`qxv6ob{LOV|^}nXME1RHa>^D;lU~MP|
zYLqO``>#~g)X338vB}B7(5Pg3$8#msA@~U>C?@QFSM(cHx}i-Ys-Hnx7}SM(QT+ks
zJ%H3FLc*2jm%f+mtMOm0M+5!STb142QaqO`1L9Y=9YLG}P9>0c%MQxe@j9$+Uw__c
z(yp$qwGZjscIk&R82ZD__Q`TpA<9Z~M1M(h;!dZ-j=^F<F9J(GtTz`fApvfvAQ?f7
z+d8{&A^7|1NX>2hnOf7f-r^UpRNI$g<j3VXSmYT;t-GDkrM;>PKpIIRgI#p?2@eF^
zDu0LL8C<Xb&bFvSht397BM;=3PSzA3+XJ_ZC+j{MV*gt1J65W?4}<zTJ!>167pn`x
zs~fnx2aB3c9V~&8C$uchlEB5m7g~z%J)4!y;KNQ_P74d$3#yyKLYJ>g&H%*w(cO@c
zxSXzQ`ggd0-L0;s$HUa-M#~d(5|gm~Vk}J%5^fCVr;k-^b7{CbAxWdz09)3%<T;@-
z^0Ze!oWf_vo+_w6=6UWq2jTD2v3my?jFr+^!`g%maC1tvAFjSn#Vz5HVw+sZT4H3n
zC7K)YvEU=*H+?T!e$4ttsof!Aa*Np%`0s8(sF*>fclYjyd#@njRty=9f+`_wW^&l{
zyDj|$N<kYKKO#;Yg9I_F6&EptR@(|zURi|1%3|YM_Kia-N#a=^`GhGOku;f*A+DKZ
zcu~z~?)jjZza@@qIeK53qWA{yYiPHEV9;l;pAA*s_26WvMH`8~mge>{OM~yqpWe*t
zi;UybP^^ZeR!8R*f%)JQV^H>A_wD_SHc60M>=VH7|B88N=Fmv?Vxn-8kW!6Mus#$j
zqRK>2R)S2Gtm<1>`gn7ftY^N7KLro=ujwbm`^_F%RHe+aW^TuVe8LIwHk5ahaL7Dt
z&Vt!?KeJ6Q=k95Dxo`gwTmu*COI`xMWMFj5Q%yZf-8<zOFI9aW72@}Fb~32|PZOk6
zL*_(r{B&-SsJydy&n8z_Gl{WvF9IUGP4UYW)%wP8Qe;W&oVM`#Hy8E*M_4ac6~%er
zzlbI3FFcc7C$zNDgG--Kd91>chq34rPJw|<mqF6@!BH7i12^$WinI=ip8>I_=A-*p
zF=Fz2lhDH>AO1<Ukbbc>a+ER&-Den9i}ZrDMEOvW6<$0(Nk}&T&-3AO*W;jA*q`}V
zXB0eHg&R)SB$W7=g1ga0wcOIk3J=ZU12M7j5zBSKdZ$a7hYLJ7w8<6HZi`E3-4oi%
zYVXUm9__|#xfM=ULHvP5lz1J^;b$n*^YBr|lNTt`)TlE{pZd?BJ5edly*rM8y|;m5
z#EZE9`oIAmoo+~klciQj$?8PIjKjBB(7eo$&)TZQnUdU#d75``MtT3M%^UJji+5<a
zvf)=c0f~85`tHwRIi(c6c$(J+J8+_gPRfyqj2}3ww27lC0WMD_Q5jZEj0p>k=~Ub%
zrX&J2aq)p8HlMl+YSqj(Xn0MgJZVT8Ck@VJO70ru$!ezIVRPRpGP9nKKSYQNx>G=*
z=8Q#uDSyZ6q0~`vW)pAsY+$@07x9Opr~CFZ+%QFN$6Mhy+-QAWdoUH1i-9yqwmh1t
zxxiR&o*(Dyc(Phtn6zo=t7Ya_<CvSmiu5&^Qh<g7_}b~8p4u9cqN^ALR?vC%H_~O_
z@Iu612t)T=)o5HT`btc)h>OUq-(()+gr^(2;piv#`okk<P~fZHTU@9)pIy!xaTxNy
zA>x=*+0OSS+fFEelT2`ZD6h|&HoXMT@DLyYBO(2-E&j0-2C$ZvmJGDtfKJ9Yv7zl!
z9>VZ*#PDg<XjrhGk_zQ>!M=f<8}Io!AM~~h9Hd9&WBK#94fad)dkFKW>671|(n@zq
zM(KwBTCXF8<9tv^mz#IGjvvkw6chT7Q_}W$%K~BdF7V{?xz|w+4izCd=t%L4-cEk!
z;UYC+UQm+3EfCGW6=ik_NxY=060MwezukeZxoyVFq?_LcWEO0&Ac~k#KI;9WUF*1A
zuSAd#+)2otr93Y!6_ihi!fEVf9&fx)Ez}39J(rzOasV{oQoA{YC}<A0I#XnDBfmkP
zMTGoX(Gi`-Qyd7s;-Z{#w>Umr%AOQF+v3#XBp6QYp<QD@Qc!T~#3<RyHj%uUpGfrp
zp-$>rGr~O}_mI=LrzB`g7i|nUah)RrT4`0>i_o6&Sy{c{ZQr$W>%aP6R)kr?YqbeR
zzWI5w4;sLvMYxkH{2C!D$9{YNrs)LZakj3*Dw;!aLYHfSm8uf}JX=EtQD-!=g1*v5
zOJeLr`Td8jn^b?7GE1gLW@O4wIlcDv_gf4wRIzN6<^dJN3h|WoBgdqP8i6q7b*&Hm
zhN=@mv*rT}eJqa)Ot4$9Voy{@TO}t69ebuo#k2XPG?+sCrpbDkc=(OPH6*-H8a*no
zwR@(i-x#Xv;JI*s7S;D&>?I_>j#qf4Ss$3x1a{i?3*+B;f=&=C-w9VtUz7bj>WWTG
zzt~|=ESwjfq(xD3%=qZ2`RAw8cJ2kWQU-<LMS;=|*u<NXzu(ejCfK|}K;BR%8!>1P
zH_!lih-HQL(B8%##ufOL=%ym(SYDE&Kp6-Avtqd19LMo9163Z5P7)CChq)MKpO8KG
z3x!&>0naCO<gm=)&2Z*k;)>rI7euje@14fD+dCdCw+qh~->Y5=OfXc~Xo0yh_*ajY
z(~uS`4s3al=}&~*p&tndBsI3IaT1$?1@3)4&*4oN8MDmjs6}^ub61}9*|NNhvukqm
z7?K_oxP87OUpzXWzHPiYz*4=nTfvAKk*DRB#Lyx@SFFj%ATqFJqd7`CPyYF3aP|Er
zcK_FwE)Lt4_o7GdbM?$kxU7znbh?&?p5x^~+N@Uu)mw$Q^R=VBpzwrR`l*>_B`m4!
zSuN1?s+h~x-PB+GN*`+?k(dbx_(AS3dUI|lFvb_npFf}|cR;Q&jVBHyQI`2x$bEj(
zER;ikmkW^)IRZ3@S>fW2qk^ZY4i@sluMDq_JDUGr`Anv<A%^8{0rL_C6ctec8dVf<
z?gQKzP#TCpEL7=6>(PfqM8JKdcLNl{QnfzV$mr<Rr1v|j`~7K;7=b5AS%YMH^3s}8
z)VTDXRn|+<{%&oqK32vwY{Br+VFoA6&2xm{SV$iCR!_2HaJAlrN_hn}pJ-JEWN_hj
zNf}*VfHi5z!0zKyo7C0$h!tKH1>k}G&lQ|5bJ*$|t#aNkM(zCBG`1s}U;~Va>~3hw
z3*vB*2NTSFe>aMHh!AB~US&OiWfft&Ls_$?>i$;p;`yh^PNXYaZ;sjHCVJLROC*jF
z1AC}F3IM9Tuh~y-<7_^D;l@V<CZ+0b`$FQgA6GbiL+VDA<@OCG@WKLB|JoJ=edvIF
z+Rj^Hsa49m!|6Iho^B4DotlADh}+4fth!GVqN{7K!J#VQht{e+6xqI`n6ook<q0p`
z;sX}KI=vkF?e=J@9nD%7Jarj@lba>x-BI8WZ3cXBp}wLBdgs%OCSY~0c4{vLlKH?v
zA1-JIQb6(DVa=yfwTcJ|X+euP)D2ihh165~M|4XwCcGJkJC?=-Bd;yyT7h}uoVc4o
z*QmeRGZDX`EvMn<t>a9J26%tpoNHVzHe^<l0)$obfFOn}*Zr^U&&Ophe`Cci<Fj7#
z*I6YbBwQ|gAoc5(KN{JOh=!hurj0PyoBf>HT9l74_p1@=sz0GBg1LC7cPv}Zx}Fi6
z4U%o)@iV_1hv~J{rcgT+m~54!eVbbkzV%Ckv3T(<%q#6=@NiX^TW(U8746iUyBrTv
z(>LZrO}pUox!FK(tk>_N-F-+Td4awLc!(IRrxZg$czYpDBkj-5qXPq&aNWh9NGT>{
zM56tEXmL4G+%^N-ijMWXqC2+%Fh*7?_Wf-$zXWk}I%C|r;IegIak8o?JGRGtXuSc8
zax@Mb!pUNln4+R$up52XX7uf?1Hfo~`KabW*^P}DuCA_shKB_l9UV=AR*cwlN!y<D
zo=oLZqKHKM>xCGpS{#cTG&<wWn2QrXgV0*A-a?Ltaq`+}2W83$Byq<ityF#J8il^&
z#W5HDLuw#I`-(lA%sliPt7J}RvLPIW4gs5b-UW<5CM0%{{7ho0GS+mQiRK3zI<pI}
zl8;9t()UOqiE^P@DogJYJe&q6Fc5VLevyL7&<}L{Nax_2)ufYLn)6n1#>MmO<U8cB
z>Nogc7x-MW>MQCW_FKm@`YCanI34kIu|KV9v>1M%HW2c$&Z}&{`E%9$yzx4$z+e?S
z@`0w2&*f0`34eL$v7zgPavJx$GeUn{2)7}|iu8j+rqOTZ-6U|_$$mCMuJ`yf?-Jh1
zVm@nhgN(;IU2X5?<Wr}fw_-6p64V%8V0!kBx5aYA%qzyzb(5oIca9v+Y{5TOYN3=T
zUBBw5vaXCyx>;l2i(=%d37*zS(L^A;S#oVC{F1#H$mj}Fv%cEtm~P52q`oSDz$+kw
z6CF@<wFfXE8jSyALOwzpT3^UaVcJa5N=2-%>%W%`ziJsE;nW%)73xog$FC)W<FOTG
zETA5MrAMWj{~6}lqZnrojh@Yb<+PN!kSU)luD}LSz^F&x5^9W*&aGMW+GzgNLW9JC
zB<?;*m}fRN9Kge2%Ziqts@WP;L(RuwCgarUwPg%RtdiJIY>v0Vlp=eJcSD-~DKNXy
zssUJ5$1=E)cAt}THLW>MRp7&Nzgc4yUp?2fl%s^Rp7w@iya@bVS$i#pb+n8+T<Ws#
zQS)%_bpbb!*SbFT{zZSdjid30!<_UcS})6(aMMgU+Pd!gfVx4&etD^7x4!mi-dG}?
zM8ttLX_%Fl{6|gAt}6|-Q7V`!#8Uerd195=JinbQrbMN1I8!NVQHwi~wu_Xv<>oF)
zrkw&9EJzD`m3BTNIAEAtxc&P2Y^+ee+!39yr9ED)F4VEG*my%W^ScsO$fM!oO@Gtm
z|3V!$TkOe!(30pfweZz5QAtUdMk_<N`Sf(${KCTC-75zJpr<{cHShD{Zm>YlTxo!r
z{sPH}E2FjU{>?byUhv<TrIykPPF>rbFUPX5Cw<6w78bRkCA}jMXpmPzSU{=W0&!!r
z0e0JvM1wXBep1VuLlhmIDEH)X`y{;D^yGZD+2o_UCHk*!bK2%tCVsE~h5oTX-^kg%
zCP(9igub=rnCOrhBc6qG^gZ{`OV6=ERu{BmOEsSL#NmyFckpm?x__zs$_?e%12XP>
z#Pyhl$~TtT@!&7w%f<=%6g}i$SV)#%R76l`1>9hO*g#8geo~FbNk-KWh|<e2g$uqM
zOLBBE9_8#dCt5b|Q|5s*Fcu(y8yoJKJ6~t05JP;mzNcXh>|IjP^hb2Q7+B?UCPK1u
zO>=$fet#SvVA88otKOI6=)7AI6i$o2DhmZp?0#Fp|Bf-XQtojVw_(hW1%zL?#epS9
zVuw(Ixn;`=U=-e6gdTypZ9DH<GD8S0si=pOx<72KS8yR)zUgnZSXA})pBF4?Zu*4(
zd-<Fj#LSV*?)?D}`+tG&O=YpT{Fub{@BQLm)bf2(*V}i1F7NgQTYX=cn(_f|<+!-G
z3514G{S+#bSr+cRT&ot&F-7JX%dxl|b(4gGnxmH%r<0BXtI^?r1;L6rP<II<6>NhZ
zPU_f6FhcO}H-Xl{LrsxJ(aQDCUkJ+>Z6$V%Q2l;zTP2rslG13B<eFbaiZx6U7;MsI
zr)nGa8;vBrH<4+#R_>hXpZNK3@`Nf8lkLtZJb7ddZ*e7KW#wJXGbi=x)0k^z@d+0~
z&$a(@iK=Vh9QHJf*4HpRm-?QG#bp%9xPwJdV^o-onhR$;L861}ZSmb{UfQ`(`(Sua
zw}8Fu<nnefu+w3pN=Y%4XtKS!?K?aY%d?kb1HrKDg}addJPD*4>;J$p3n1%}2FI+F
zhoC(Ov+5=lcjJ&Vb4ePi8oojsT-C`4E}u59cFg%j=mrmV%Wt0nCN<4Qw`GKr;a6%;
zN%?3ltYEsN-X{CGI$po0fI_Ns&VqMT$?OXCYAxG3O}90fp^ye>=z156m^(ZP{S2;?
zM@-u7AC34ttP%~Md1B<0cUc=xi)GgcoDr~IIouM)v-&v@f3u~7&;q;IP&8N?;F+Yi
z1&L1NMjqtPC@L~EoS;=q$vT2c27XWJwrB3aP~{ku1*9V4cxUA|TA90HKM95;PW4a*
z>Y`U{Kmo7MvSsioDyCLJiPsw{L<0EuAE?Mx`U~}?@#CY=W~ZOoaoDfer`7uU8^?Pd
zOw7oby%^sy$YsS;3@tlMIb)>)pN1(j<GPI_6&AJmGrkV;EmjTzD>$ct{<0El4RQA6
zq2H%n>&K~bm_$e0wztV7zdgz4<oPe-xdwOJLd{R(Y<lcV?^M==%ijpioQT-uP^IQh
zS)Jaod((HnB{)aQEte!}tf7^IBn~hVSE8<lLRa!RB=Buef95*slSxoIxvwOdbs~a@
z6@K$DG+?8yehs+J%&oo|7u-<^98QvC*wtHfXw3U<A(jP^8e*dp6=~B%7ZZ8UZ<Gt#
zT3luy`oklZFf((2)%Hz-C8}VSTk2zPeAw?gA9rB60oUfGTgT(mq<7Se!h6rbRF2Sp
zH4ZQtkzXEd&2drNYSZ)is0ie<-52caR1BO$AivhA#U{(X6HN_@JPCdDy61<U(;iRy
z(tJ>AX)i&P-pD`q{S-8pk3i!14^bP*gcW$6d^?cC+FoB%&{`p_Y&#v(3ApIkMA0$2
zbE!<>AZ%~aY#eO!QBbt~0qsfGS>tLopgC;6U$JljyjWKNYml3t4-NqV0YncZCMHr)
zQ-gs3+~1<A0|OY?t-1OP%pvACH>UzJCT5p&B*n$+{fn))I=*vVZ6skt&qX47K}!3^
zc(4OOHiu{*v7kGzf^+nj_l<Zi?wa8*qe+mR{`<fWH2`l`8|cV6LG7>Cqgbq#SY9uy
zo4p4&IpyW$R(3o<kObQ6Uvj>lk6EaB3p~1dDKNF#5nc(>hlG&~nQkH_cnKPc7&~UW
z0)ptn_VlT0BqIcFE8Z6*qJ6o_ivv#eC_f`76ff8F|2hQ)p3P1mm8qOJUMf{<QRhV}
zmUf8`6(!=98HC=2+E$;j9{vbVDY&Y~f!zM*g=~;u7wZ%cj&ZS#m4_nV>W04z3Hl?a
ze)lLC8TpSaFT^6*M4#cVp?2hjnboH%pQGQi*~-;Ok)Tq$Ww7`kOF(A<+ttwQig>Zt
zPv<il@Wansm;BPGZU-g;^Pk+@mQEgbg-doOo_CqTv**leIJqjIWXd9ktUQDgZ}s70
z!YZ{$?K9u=+y30~FIfi#7Imr%CA3aV$d6||8bK7;oXBJ{5)6MsdleNdgS~!}4<oGD
z!I$2C$%9b;j=V6jPk0d9tN7K-JAskF8D>{<FiRypx+MTigx~DmmdkrGM`@TMM<Oi2
zNeBa+6X0ipcKvspgye@=r18zsB!!}3Z|C6{ol#1giIlh@bGn8o=e5dTW$?aHylE^|
z22S;uCEf-&*j>&q!xN-YQzmv6*xxUIW42)tDb|yH&Q6>kIKHWGZB<jx6s#(ob7Z9z
zI}`hy+Wu8ai%`clc4prpqR-<!pQH{qI366z?o*VE?6abWhfe;$%u;Qze2t;H;DD<>
zuUU9c(qpEKBImlqeJJjPXJq7Iat3^#HEu)P*MkGx@Qg?T79C`8&uTTbZ_`+-YGLsN
zqYmU;m}Y^tX*>*8D*~m}ZJ}^XxIlv>UsTvEH_R<hz#I+f6DE#*5=|m4q~PLeu1FJF
zUsvBIBU~>>C|*}<|BXt?3laM-CmE2EjtF855w@qxX~X1vYUh|8S()w}F!_{m8k{Ki
z$isk{`)uagex{V3#3QGS{xN#Z_TSsXF5m>}4}!;$Q(ZJbkIBf0L?#y1TPRl-LwAh@
zLY;1^-5vyP=|*~{W;`s5V|9QXh*E_Ak;eqgyE&Ho`ekq5z(t0abzy{CXy>)h%yR(H
zwtb9q+X|zuWY0)T1YQ`ZR&7jup2GSiIU3ss{$ey#5r`JP`F8UKP%I<bSZ)T{MC1EY
zzrX>e0h9yM2`_|h4)8Y8AQ*+ft3J7|#=TyW%!N2h!&}UvKqWoI>jWE(vkVn}W^hhv
z#+-aM;jhXglnHC++od*|h0I^e<QQUS%uEx-TM-H>LEWl7J5DdC)cuPm5tX84GWXT<
zc4w*Z<SRloQv?OYiW=^P1CtF>#7dr$5`4vVhAKrjN}R!ok-9V!_ns*kMFjGx@^~dM
zo0B6KijL`cX+Kb8%~fJ79%2KPnH!OhmA{6fgCanAyURE$RfEUn+bRNyM<OJJhCiYW
z*d<&_yWex?tR<URAykM8ax4M_@g;Uk^jQg35jDQ9qnXMkcvS?h7UhS|FH1*GEpeZw
z9MNVDn#DNP+pvt-kSERXDv!wz&64a++}rdRG&oDrMI#@#jFT&&7BV|1tY<1ba+H94
ziqr0jkXN1<M4<COGgr(ZfLQr*hF4elia?nQGV`>zTAx6Qe<?psyq?<^eTCGTM6HwG
zBm_vsCs$PaY6cQghHoMe>vY?2W%WeO;&ca`MQG03_#$NqtLkgUxsqofOs<MJS`}_K
zXp!}}RKbPq2MI!EJB@*ijYW;mgv?fgEYXW>zsBqTkELr4%kzEvPitAruC?r1wp(_s
zW!v_Xjja}zZQI6jE!(zT@7?$J{$KZX9M659*QpPlwPuO4!c)4Fu2eS{_*NrpnzX9m
z9Y17^q>R#0DvB=pkWS`JzI>utq5XX+w}pP!mLF{u5tXO9W4o=vg1;mPH~fUCF{rzr
zJhZ!sJS1s4><Nh!+Up$2Nat7dM<Fe+pGcmUdSb;6{*+x#DJ@M+L%t@Y(FK}hV5;~?
zk+kYM)+ZmsPImonihtj=xKbMHpDtEba76sb5h)#IZJgGb;LnOAxw#yr83G<g>r5(_
zN=J*9j6vlZD=(X687q%{S6P4l>XZO&j?H_;?fLmOz3)sFD<>dd@pN=n+9IWjpiijQ
zL1V&XSSY}6DM8lRl`M{7l;^ap@W0`&@a9Lw-K$Ji^17{HpcMZsw*>hJK*8<jv|aT(
zeIWn|e!o5g$$R;!ZImaVFaO#;Zx5>$0R<`L$YTR&T#(qKy-P&)K17VuqI8)|PSCQ|
zZ1n>V!jT(>eAIn={2ocfhxhipCs5_MCwKqila%j10tSN7lmW}99TQ}?00qfoM*aSv
z&Hp_p3d*wq0#trNdW8stS=#H6JAhTcKXvT@>`nL5J>S)r3{RJv0G4JakR^i;4=uc|
zC%?Hp>?Hn*jrD&YPy8JpKg*nRL?2~_IcCpCm#ktgi|^?^qW-`=rK6|~U1tIU1;7f3
z^cHtfUk}uge$g*BhwxR2GEaNyHI$ytRQ85@VHh5|rUn#_HJYK2bTq|<PUiQyA@tL#
zVQW%p>sU@&<tw8R(1{CpN2ltw$_ngHV(DcHoFq&a+j$WpC}nr*);+V2v3IQu&akjQ
zHj(2U<p`VpF6TbaJW}KX%L{=s{*3lFk))abPLGz~T~yugP00Uq0KxW!8Le)|Vx)IN
zBr3GuDe_cvIbXB>5voiTK0=jTO{ch!xn3ddE2;q;oGa^}zGRiI=%9|IIj#jnhcOC?
zMWn9eD2=Eh(H84FSiEkD53(&$bB2q&$BS&G+ezeCi%uSR`;ww5Sla`!8ncsCxyjz3
z(EM6k?130&VxIWFllGr<*Zw(RX!y>L{&2rY#ba60uIIR@dPG=o#%@4AY5nXMMJ|c@
z_yGN0#<C(Q3_25&dsr*Mh)ySz49fJ#SWn7KT11+qZ6V3TSq!dQw%Xlli<a2*-yhAv
zR&&L!8Wgs#Af8`Q0h()?ti^-Spdho>C<>IP7Cw9aF7s+A!g|Sp*!?<8*-8e|3#DOJ
zw)nZQsn^2UXZ4FeItH}g3^A={RSr!uDP}Vr2f_}Q#K!G4czjdQrP@Ml69=P1a-#ck
zdDPdc$b7zLB|CAyC3T|@)=%i~ixb3!OJCgEV8xKkmo~-y<tLXT`9$vQs}w4}fWPC|
zt)jFgNvh!-pg#NWQ4W-eZrv2M-^QoNFR<aXhlQmV-oJP1$H_wps8^2+nloe=<kjT{
zp2P-bPHgC3{Aw?%W9i(R3y7s%Oh5@?xo?+@mM<Ic^}akjP8YIHz&B`h*0rwne#kBK
zE*K|e&VH(hppZ_f+v>`Ado~3My)*AK&-X3D;;T)~0+aP3E2vYJV<qtEtb-U^+X<D(
z>s-iczA~$(C-&#h`(#d)slb1&k<s|?p_~f(PvR5;gbBgukt-42()$nsKzzYKU8#VP
zcVc~y8tPR0F2u(Oen0@M7DE8n)YAWdkb2G5r_y97Z>j44kK)w#-~$GYr6r6ZJ=r94
z8>fv`fxTQG`;Lt^5&&dyHWe(IMqIwRgq)l>&_>U(V?}hGxa7E=t<E<)Tbc$ti+Al^
zk+890vS527j2Ver*nOgj5a?GnbWDv57p7+T{fK<-VlnvPCG99iL6gdPrTiRYEp(7d
z%|?3jwHh|fGp-}ox+!#?J(Sf}DySl&-Zl>!<nChIa@44jo~>$Tyu^)T?BpuN2IFgm
zP~%h>!D1mBJEZ)V%DatyY%>Sr?vPX0e)@yKj=ug;h-~_oZwC(|R;sy#@@dHE$VuaR
z1JtA4Q)T-u4Wi+|ixRyLIfyBKs;5sp8#UK-IU{wl++ZT+I_A4%xp=JD+qgkt-$WUw
z52*VA=*^+w^Bd&l!?NqLGgf7j-Wp+beHlg5+cThxio&krhjdF}lQJ%-x6NNS7p8Wd
z^-XUiTu2C-7|!vhPsSo+{Z`#EkUi_D#+to@^iaqX<{d@O+?LueWxmhODE}+xq#L(4
zo4TKvQmUpPv7GI1!xUkuHd6|l4A%&;d^c=h&M(3xJ7|FfRB4PO-6yF3xDvUJoe#i7
z*eR0Kz2~~teIj%eFOR7N*W7v-x{4XH^GBAVRI^!x_?cLEilU;JN0a2NvK5&wD%I?C
zdX&;XE{ztmQSpPbKnmmt!L<BqYhnEF$NsgU|C);8lO@<F?Qwhzf_6VGqH6He8E(-n
ze^wY8baf&e%SIMl-qO$FmgE6?QdX~C|0sMzp>V;%3-~G-mLTRmsw<<^rVE%%1v~-j
zX&hP!OHCVw9qR2-F{80TiYvq5iH5$;+}2Y!{eGnTo_gc^r*c&gC{ZMH3te5JJ;?|F
z#Hhcqb|4=<s~<xDX$YO3M%RDRuQ}h^`SSaL6`v<@#or`C<4}p4Gd?ps^ZJ1|B=Lzs
zxNrrj*P*QQU}I4+g{@hJ`m~nOx8X-Q<?S%!aw{WWUb!+(w{0hLj(1o-)vrAJMm8)F
z1sqbTIM-k5ZO!O_$cwzJ#}y!s#r=ZqlsF8P7%?YIMoHNNe9CAW#J;6!w7|v#AXWW`
zxeKcZdr?JtznJl~mhBDSyTC0#UKU_@f%J@TAaL^isNLII-fc0a!hv3ok&Z5Kd@n#Q
zT;}?C0UcE7a-vagZEQ^5s#8(g4<Nu2GPC;wx|eIqkwt(NEWtbF0bp2XQtW>_!=TQK
z<LsC?5ZipbJBzVis@ES*pvU3&;sogp{ic3jviQ6l>23i_89xBA&x+Uga<_&80#uvq
z0PaFJEOdZ+yBF8{as~;XUGL@bhSO>P6KEZ<Iq$9jb{Z9JNZ=7@$}9>`3FE;{GL*Sl
zeB<9}Quf#f>$ti9$nsjghq%+YI7V6ze@mz#<c*3_E09rXLIoKF#){A~M$0cw)wfc{
z4wQ+QGpJRkeJBZuiB~vRhO_4VGSS}<f&g^&s(+2J#}~#(E>vR=k7t;DB2`KRXL!(J
z4$SV(KoeG#TcYO2TzK*vBeg$^kHj~JuK5PlC!`*N2bI&}Bo1yMZini3KFDT<>{f1F
zCuF=BV8T~kIH;a`w^+<`macffu0&K%<Y-b1am?AB5JVm0EFLb{hnrk<M2aa(-rRqd
z@5rB!<k5sYl9vZ8Yt-}`fKz}b&kv8tF)qBByQta%_S)L@iIsH+XB^tTg?z&`0k*|u
zOK!H|ixo$*R6FT!cl(xvPxu{;aVK#b24@Ca!0w1H%Z*4nTyNg&KwC*w$LyQBX{G0a
zs{y&LR2IrMdU&~;Rp2<<9>3A5-LrxU0!I9h4lLoHi9#+9RyQe@vh%UYDTs0m_Pn3U
z#oVAmIGSG(sv8F{{baTF8syrtn|rVtxM?|N2-ntlJbAgAAGtZpg2yH&g1k4WuC96f
zg2$pzvko1nozD%sCJ!XnzNt<Y$e<}bX#b{DclaY3)sJ4W)22sfZl3GtU>gND5EhLa
zrHLb5GuhKliUu1IbJ9{0O#D4f0y(>g4w|{=-!c8(ety5h2*Y8FN(mu9A7Tr|-&%=R
z5l52bkPm_sMUUFp231%T7qu7tu=tMHS?Ws?I^^86li@r3o24rF8?+Cmi$BT>Vz+V;
zs+w6{(kbKG&7ECQ7mz8|SU<v<H^*zE#Oo*QJ#HPV8zHFv6WMOD84CtD)e?BbwBFDp
z-<SsgW3TIn+%Me*nZG@K3p$>hu|ycL&(vxKdUX~Rirc5q_-H8k@h1;DGRKqI5c178
zS6tTsNjSj70HI|iI!53X2e7M2V$%NrkAQG7t7$8wh~c%zvvzP?DTkx$^FY2kmKFg+
z?DfeOu#Z_HqXqU#TPyOKtQm<iMALo0-m@p|e;KbAm5#fW5ZG{5$C79hh6DBmBEZ~O
z*ZXG1Z9gkSL7~%U^mw(6N5|*E7`Pa6s;W>kz^`0@)9E|2@_CDR3)mHk15u|WAum60
zeK2*ALktM7w_d_uUS4wR0MG$~{#6m@&;$EOB9+CNtoMUS|Nmewl`8yva{~>ZwP<`m
zz>aj^Dcn;-1Ml6&Cg;^>C;q#^<@Vsa)f6&7*#d}&Bft*<Xcr$I|CED|qmUIgG$g%i
z$auXj(8h=Y&=djTcqrjlQ}65rpqM83|3mhfCUD>~b&I{4$n9U>mDgi}fOYM%*VU*t
zZnu4pfn+HupXz?RQcP%&Iru6~23r{u?RrAgt9f|1_M1Dys<2f@#zKTS%@o*Z>A|H|
zAZp(VnnKm#r0{j=^QydB(44b!8Qe@uso5!jky`1p%sF(*pQ-ZgQzkX*D#<>+GQ0Du
zH;x%Qnk`JjtJ6cLAG__F#|c8ZO*4C`WE(jiatI4<{kh*PcGM_CJ9SNlzEn@v)o$aR
zq$*4-!Mde}P%#7__ey(HTW@TE2?H91o;v9rv>!sJ+x6g1$~UzlDe-?c&qUGe_%-Kt
zBsZJU!W%Aogq*#!L#n8h<kz!9hpU=HcdLL}vtQ});N9TBZC?*g*zINa363}+o=Jsl
zjsMd(UZ00<$!=i_4VpE{_X{^#TzcUFQ5k7YugW680_aUjn@`$}5dwGFWE4^J^?iiT
zFTp<FPF94Q{L2jRj&!4{aSEZ*X^uS|QL9*s^qx=$*9%|(wh)zlg0mJ&@5wQWN(O_)
zglx89L$EqeOGwA*rreKbX@6kP`9US90iJaBM|c8fU(T!{MOBURzx#(-Grg;n<OHB&
zrSFxAo35y=uh8YEfwrgtpkx|8)S{k9Y4pl`+?|#aGZ^f9c8l)kE~c!|IfFe7Ighp)
zfeMw;EQ5fL=r=$0-+$OOz6YAM_BjUoPz)$zY9R}<K7ZaCHy;z5(4h3sE8Nh3C`j&d
z;MCyAG}hdn|EWI1?ZSH^4DqcXr4GS!zB-*^noYuFz%``+KF-0jt5{vH;e1c!=lmzi
zCG<TceTUO+gr=`z(F&eLWwr*YrEm`<b@B*kD^7R0fbWHDp!x$^8W->@3;tG*Qncor
z34&}5PTd{-7KJ)l9wL!0ZK+O(d?8SK?fSjuMpEv_@wzVe<IU|6)1(*PrwrWrdt<X_
zE-`^Ae&i6AMwdUL-x)2&%7mkQYf#hV>;-_FMngjr-QsO*oHuO_P@%=tTip;qdZ$)J
zC~-is{P@3$w(s9i8ZcXR3^!`S54(Z{R{X1FnjFC9ceim#K8Xo}&*OT(Hxx*{a^x;&
z<-z3x%pOK}<;Y_1IobEWoJ_UKQws&$K-vDU|GOc&%(EIZ3Iz@x4ox-i<-~jSW>KP0
zO_YBb0OVvSWO0G&7TowCjoh#a*pp@1Qc_SR$<V&i24~Li>49af77Ag~vkkzdE2<r>
zTsy0$XOmO~-{Pi{MMdztU)n_b%RptU9ne}{QsuN_EVwPo8q<|o|4~{NBZxMxf4U=L
zU;Rg-Y{*JVob~wqlVyFnT6(=Mp{WxEcR4j4v1L~LWEXF5vTW{Fz<d=_J+o$wN_;_Z
z{86tG<5(_aTiLVwblkC_1~d=*P7qKpK3Rqz(Acq}Nyn*iyQ|h=iv{5l+$>a9-+`kw
z#F3`7vsH1kbVKItvsqn03f`qCiyU=WkRWAp)=s7)d4x~!8W6VNtwPh2QlHrj^4_W3
zO=RJU+KIcA4?Dm9wGI}UT5p?YNfigwlB$5aNO~poW=yVNpXAK%M#)?b^W(Z>EQf@!
z^p^YT4R5ZVFr*FE`c49sXjjVzUo^={8Z92wohk82X|Q2UVW041yiTN2TL6W$i>`CF
z9tBwK<i#Sczq}rZ#ZCY5<Q_jhXwswzY~CPkpHXY^jCn*#)zCek3I6UL)l5aTXje_W
z`^)Dy(JMC0C`N+i=mahkE|vzw9fs&NMig;D4QC(PwCu_Leiv=#UMSzxyYpd@IbIh1
z@!??U8uhTQQhqvIj^vVLvR)P#++4>R(i2chfjRKPMo0n*gdFz};?eA|Y<LM%#~K*E
z!iayp$H|sFzUThuZx$WI%$c)J^~B0=Rj-{Aw8jwc{_mN4ltO})-Uykr*4~0e3w?JS
zY|$cKHf`V!RW;Rp+s2T(e98@4r#Sf%cq&I;2wMNR#4uX7C5$Fy{r8LgKjN(9f+hcD
zZh$wEmKI{bzw*g&oZj7qqM<b663dYquVs~5^-V8zyvsZqT-q^ZcrvwcaSiZ*#m8R%
zlkyi(4D8W28<>zyLkJc90+7d+1ptRdT>K91k1g6F`dM^X?*cI%0GR;L^(Srt2;t_g
zB79dw+CY$SjTP3k0x%E&Ch>Q~>J57oy~}Z&4@OK;?s09iFG9YHs4fOT{a_Ro6<NQ9
zM?~<v=Rm~%*cgrHiM=tR#sB4A`S;lDeelDa;mM+br!cxZdha%WL@NW+p1yF*dw}}V
z)ba4*^ZYp1A=elUsFu6&zGp(2sowc2LwRR)Qw*Qmnv8dFj@i@k)x#pil8||+#h0>n
zZ_duQuaZTS@%n1c@oGgMeRT#S9kk_WSjC~j6-bJ3<f$3I%q+`M@yiCz#+F`SWYM50
zhs8}cnH%4<brIMQsv2JBIML=T=4!ZU*nNFy<w#wsUmn&Ot;<pULLcZ)rxa}_Q~Tv<
zOrpI~yFO+#FgU%Ss!9`o(|Nv!pwtdEs(^h=dD|?=HJtVQNzQN$Yt%-Q$a;@9D8D!|
zK~=igg?QRsN-sDl%26bha9qe-6^KEEnnvf%5LngXy2HcZV!VA1f*f(D9)S!CT+7kn
z{^44*!`knK)l!8;!2v26n8l3)$_q&)`ob`CAK}UMzyCY&pLo@Ze{TFYbfV#_LK}1L
z^p)k03LM3n*p$0P?$PHbXWHbRepUI+fi*OfIrK7%@|OFfc}20}c#0}(v9I^91W1vy
zn9}-deG)TTQj8x#e1Fu?DOmOWOvY_P`UqurDk!A`3FL*f3siR?IweS0Wvb~{x@_lX
z-F%c1$0-4)A49Ss{OM_oLYk(xPsL5R26s(4H0jECTzMP_G9RTx_GtVOew&ewoGMCv
z{nhUtr2BZ%D;vNNutF&-%!B>3wZF{`2ItpWune6#7W0Hzny|BQS4kOSQXi<4Z|&~*
zXnFnCAST(OQ@Amg36B^xB`DM0I0KvH6s+8j_zDiop_9RcJ(8-<H%YyIAWu?jE>L|%
z-C6om`<1V#T|N&{%C|sHbFi^F%utdkB;y;T5ps=b--XbO2QQNzd;T`!z-D-x_1cY$
z>19Aa6aM!Qg~3#%>>{ga>z#qGsBNtPw@bOy3t9gs&1tZibu4I_uZS8bUh^30<r&cA
zl_SRqsZUb+i;4313^U`G%!BSP?UE-rc-U*D+Qc??Y}>SCXe6&Zq+GEL3*_Y8*>%*m
z$enKB(UeiJGxi=OZrn6b1xE2iMFpNp8Z$0ouI2e3KB5RbGZpy3ef;olufd}=$12N7
zfc$)HD)6*uzwEXZ)wmriE$8tvJv|+bpGJ1<!gGAvi)RUhFzU>V&hOtoFS=DgJ{x0v
ze>LySF0T-IlrI=D1`-;Q15p5q*dY}-2=JQF2kJ}fj6_CV<dT{2i>(1lt#7KTxw*M|
zfIM=N0GJ=BHE-&+e#QY<-GjdGDML(qoBDr8rNw0H8n!Tj6Ug3IAwUz{0|BOg%)@eV
z#sMrMff)AX2fuoaWC(Pe)D#!L&uIbM5Qkz8a^O;d)<4*!Px2hJ8)<W+dVLwk)FzAu
z&=NmB{Acq)fWlv~7UgH&hx2C@=_m!+#hDX$Vz3;e=Of^BgfCZ61I(!H%$bjG0LeXV
zMvjU$Di<d0hN;-udM#Y3t;G}hi8bGCnp2iKy}~eN%Rn!fH)*pkQ3x|tpl?U!(R!{_
z71mAjlfB*r@XZOLU=*BVY-EeFdVwL!MaMAqR^I;OdAjvFuBs%!MsCRguK7H(>srx0
zxxkuB%=j_y18s+VZ8S(VNA=K47NXd&Vis4{A-N>h(ltq<_-okCVgi+X*$8R#Big?P
z?Fn)&*gPk6+&N*Mr5K{7=O$OC#K~a-B&!#srxMf{d>m&X#^<e>879nplxp^`NXhB_
zYbb^3%bSMH3_YWo&@|0Lv--(&Qxwbnp}VWO+?>Uu7*6i9CSNPJOWeLzgw=cui$|);
zl3ZNqtYfjZYN^L_N!=WL<}cFEUL$?V>VMc0-OBWEZ3&tC(YL&<g<SJe$5z9fpX}&6
z2Tqyo?RNAy#OW0uJKb>3tjfK;aV;J@i!1xnhyCT2dl0kLhRIAI7)NI_6_{^C6N`Ta
z1*rd4iejG;r<H7VnfaXXZjSan#r`#2xb7eHBx6LgO|khN>u@$9&LlWx^0w?JMpu8N
zX2@a~R}h!Kx|PEkZrDwuN#t@s3h%P3g~QjyAd-2D<ZYHZAM{1VwiclVu`T6?CqU!x
zuy>{uu{=%EX;tM7smn*9>QjkAF%R~xXb=GhdDJ$xFgW#An_R=oqKRT!0K^rnrli?_
zy0N#U7umOsR8KITcxTf`$XBot{!eHgb9v?;Us2od4LvT=`m{NAWlP55Z+D^(SEHvB
zgWSh%N+kx0rgCf(wYJUtoqH2pWc=XNwL3_NgqDKEd49zRR?y$dD$B3G_;5iVyB-VF
zY>V)CY@gNA`9v)h6fI4dDeuspb}*D;Xc!_<XWFN<c&Ltf%ACdMQ;@p2qirG%C%y9_
zCzGZ#U11;9o~;1jA^K)6Z1AMV6%uqnVTCCQGja&zsUZdiApQAWQTs^D{MU3A;4zrW
z``=i1l8DA%M-+*$=bxt?_{}H7R!>|<I_s}Umy{QH%C`9nZ`hRYE487WV?##0w~xgc
z%7$h6es?H0%wE0yK6U^3MvtPJn#=SWG2lwUdpmDvov}Bb5d$nxPFck%NbF74OUibV
z_zXWe)Wl6H%uZjx13MYCz5gNTE$lhfL;mG1=e(XqJzgw#aeNA`(G4mKM*_V1LbJ?C
z71pVOS2hK$8?iE`%R8$VcbEY6TYI`~E(d0MQ+N-u8$oj=YO7+*j^#%_R`DYq9WDrX
z0;tC9bNJuQQok%@MS4TCdDVkrEY}81&hq09S!R;MejQ9r(z;_*pSUyWWm0(I5YN$d
z>bxbyMaOq%HJ`7v%XgRMZ3@5;4`7{P>$b>aVl6K{q5QSS*lHWXuFO7NsXwC;emY;w
z63F&c0!NOu?pxX($@Ecs3w8jaCi0R3K#LEI-1n#tj;w@5=HXznl6E;mU;G5M?|O0Q
z3;DYXO`HgQ3$m7At&K`5d@bkb!xWvSLcK+Q{Cs2ktt7L2iihPHS<vDvZ@@uaB6ZxC
z9r+atMjo6sO`JC0xwGJ&%$GOUs3P8iO8pJyOXTIL0`7`f?p`ih2{THS0Q$+il(khx
z;piesn&PMxy!>6B)6FWoi92P#;2mi|PWe?wA;5ajrX1)dz7ww|uGOv@Qie|%TxOl>
zquX%ln|BdtxY?c!OGIl{CC7)cROri&Ut%)d)f;JYqtbbJ`DVR#a6m_7NiWZnQ!jYI
z>O%CR)jvv7>8US;la>vHg~F3Q?JrB><UkrFpj!vc?gO2bh3~R~C28hc+o7)WAp#!+
z9VUcuSxaj{`;CODDYF-y4Aq~eS4ZB=g}q*zFYGu(BEz-HWfpX#;2L)8Y{gfSF<(k<
zDa=!E6;_Qh+V|WZy996(XI;sH*2;^d!=IWE|8RKm{l8Y^ptD8swn5}22f|pnjI0$x
z-()ehSj&&UZ2PYKE-~N5nz`c%C(mG=HLBq5#H1Q1hF~m?pw6#d_l<t!c29X1OxsLG
zM=70i4RL@wIQT~7!W)#f?g)*_H?2lsp;9AcLD)dbY&FJPa22Z@4T!2!-nYjtJi5Mj
zaDWzK&<h^qmEA$C?Pz3D{DrgcbyB=zOz(qI^)RI8U12>Rp)&}zf5Omtx=ZuXfPFtW
zT!A-S{%DqHfoEDQR`Gaf;HIxZFTxdjwMZ*ik2g}^9MaD6E@g6R1@dkFjWKt@4WBdI
z$e>I7YAs!|jfuq-nnpOj5K%QtQwh$>g1|*}&*4YOPjn?SGLCvYXa_=EJB{P}><t#t
zNDXyWp5WZ*KJT`U5V3f0SARZvDikg#*TU*KW$QSV8?7gF8-a;>Ps-||yk{{Vv$E5F
z5*OY6`}kYeQOH{`TNG`y#vUx1;@=gl*T>WZPnJ@tVRwA?T6PQGx)4a;WY`v)@X+2m
z?jc?IKeM2IW9>*4ON7z2@_jqaFV+_i21xVAKl~~;diO`LG}#|h6>#MQq=r1$H-GbI
z3II%Opl8l^cYt&>T48a{=5ssO`yK*tYs3w=>K%Hwp!<=}qQ5tD;{fTO<v&!#Pfk?2
zVyzJT7VS{3hn&imhZV#68&PjJy{WgJjZY;lwY4Ugr)SRS6niqg-Qjl=I3?WTC?|#@
zQzl-PE8ej9s3W5(K{k@QYme3?ceGYFK2RVDb8qJJA1?;amE)v1aqdv;?DSk4{CAHH
z8*@wT0fMP*teSJz5baA(cS(Od`R;suzW%LB)DxbSp)2x1cf6{2((on}iY3QXb|~*D
zer#akyUSPpx3>_g{OHRMs2+_Cr~p0wvxv0_OEb1>sR(%emnGBH&@Yg0Kud}J9XWXa
zc!I1Mc20*K?atd#V`=YT%^Phr{hWFBC#UZJDj)Q&S3x9$;OJktd^}c5r7#nvFwu`s
zkNHtasVt~LW6yCOf+)Q)r!_2k-GTBI-`aETB+GOO83Yb(?Ue`0caf5Qd*dD#L!xeN
z?`<wTto34zYaF8-^B(Yvj*PTG-TZ>Lvd~~4o{-1P^*KBunIRHtj?<>nS9)QlQ?YUS
z6&`NRo(?~9Be{RbEDXWu;L+&vTS-T-kn%>D?bZN0=a)iwvjk%SCZ0L@H>o>&IHw~c
zge6yv8D{M*+rU-MocoEBK%{h+IO9Cbuef}aJ>7SSrZ=_pa|e+YTTvI+wc5X)>vvXN
z#Lr^T7nOsDuEuzwj{^SXH2-)gUaJ-6ErUN}cH>q~opAYzA#PYQ?H>NA%t?NLi|$!!
zhvdXS>PeNcz~r1`wJqv+gC})xQ`#bJi~WRZ;1~hsGc5}ok~954C)#J#xtNJV45;*e
z(Cg~}IV@|4er~g#`DM>(rNQn@4wKLBXQ!h$gplFrVi6>_vw({8*A{$z9Ew`lBIv`7
z1M~c}R2U<$<G^iaUSgDB2L#mq3J(f<OR#47GrC1_E0dNL!KUP~dT;Fg(b%fQzD;?~
z!2!pL7sNZsANjbVPn+W{hmFX^y6=RSa1Gc-G~n?F?CP>%y+C7RuK9k*HEq0D2CHp6
zU<+8{*5hRPhu4b!>%b#bJ(GlTmX`SDBZT+*@Z10h>D<qHj~mXVA12_G(h;SEROAy;
z#xIeYTLC<S6PJaH%Q)B1d^15X;5+t&idCeQ$?CDgGGnv*r7tqLEBMO&*THNb)w56D
z3@qSPBgGE$dYhnt`%~5oPp~*~3Vz}9vBodtF~uRkzd$M;I?!TypcxBJTcfH@z5yB(
zpoUMW;u5d&2YYVA><LvI=6g*LcGs_4>VtveO}TiN+Cx52((J9Wk#gqUl+-yvp6=G!
z9fnpApvbs_2>(EU>lj}jagN!-rNQ$HHFO}YrG=unnZYVz2&yss1|&$15D0HO%@UH9
zL({7~2=Qk)jm-=3R(w{slxOXmaUrT$dFkxwXgy($lQTFnk=<x<!Ctz){y2jYYyDCe
zWQT6yLSau;j95^mE-B_vrYeQTMi+{Mmw5EB>4i9b5t`Exr#za!n1v7Aj9NI!>>v1+
zNvqlq5L86}MQ7UpU1WUwzv3g%#ON4V!fGSJ!7PSo6cgQf&jKDeJV@X!S;E;xBZ_~P
zTPHwiAZLCC1-$0Tp;SiC1`$h-YNVm*VD*mpbCNf%V)&ZSH<pf*&W{ORdJ?eaYO|@2
zwCu%jd`_sMt8}lL?cpI!Ly(~31s3f;IpMq-y?6j-v{)k2S*0}@Mqf2bz20aspEY=x
zcC2&d&5<h;WXu1Co9=xKsglUC(SkD4j{<hMkQ`vs(<3Qw^uW+!z(*!5J#q^|7gcll
zYSa4gA<+Ls6DAGTro|He@tU@Cm5+^(gCB0$drhWSOnZH<mykowSG%^=QtXE@X+r6u
zUt5UWOXIugv_z`z{IU~>T~(x=G-s>-16??j<0XKD&<gQ>4JhDmtOy%Mu<76GN$<9W
z7Kkp1u<11!=YGCBzbYtwbJFC0%#R$9TeC<qAW7K@%%5lCc~kRJdn0PCT2#hbiVteg
zk27T(^7rJn@roAV&wQ^ymAoEQaRE4aQW)j8L5pJB{uS&uh>rW+j;eKC+KVnr-A#@)
zZ@36->;BRO5d{S|2U{tDH!GC##(TJB_oW*3dZQ!B8+$shqtk==sy4J1*ECLTx!%#a
zXG{*Q3(Du)Iok~XziyFuE08(jcb)!o9lXZgE{ucSfYs^dPJ^6w#(OP_hIXQFzXJ`J
z2}U4@r=K@-V2pqJRRRJ;PoVlG`7>Q866U;p1x{b-U%l7Ot!`|Biwh@yD~q_zV(^sH
zJW@N6hRa)|^Bnk4>}kP87<64OLKToPfN;|Iq1?yNT6J$OsgJI#`pvxs0ar=Vcacne
zfX0u*Y4;f#8PI}NF4!Cpcx48hJlwcN06^is=rlWPj^=nOKmdi*RsIxmOY|~)Q5@d_
z0+HuY?$xX=6Npn?-+)(aPy#|Qwz>yj&Zl(~(_>#PirWY|xZ%|4Xil5J6ssPF^fa_`
zX-KQCXG!6hmbV61w~pfxD%q9*G_(d?;C{(kefgRWi-Rws;Jd)`%!Y*1m;Q0W;J&Ew
z^?(3yCk)J+?`l8<k9SH+8w?<q965UEDSR|Kk`^JkpnS2o5j4Neb;Ecl4`o3bKfln5
zWQixx6Ze$vtL?mgnl5m^_(G##uh<pvw>nWz=ppC)D2lLR8u?%8LQ;}9RDxPZ<o?`5
zh4Q>A<?i-csJ!J`5XbDq1^ga_Tm*^-z<>i5&S7tWU<;^I)pDiE5Js(3-S6GSmt)xu
z^7SGH{F$1XTJifHE26THbLfwFg$P#J%AL!B<7JO;pARRCc60vBlifpEOE`y`Cl%d@
zWW|9M3gK&9+Tw7^@;Wy*7W+c;Lo8&&36Fyn2qkxBao3BjG;LJSG9Z~PpoDao6@gM#
zLTy2vtjLN0&v~^u^033P%nE!}_6#W#7T@=pWvj4s$$7V0zay3Q=FA~)_@dgo@EY#n
zj=(j`ddeCvkX~nRqKwVHz!{q03~7A~(a;coaz@c*F(Bl0tg@t1%>2?m<Ni~#;Ipya
z(q%Mny?hlUU9hYtt^H)9kHn~Ca6#ByD6NMjV(|wmU%bz=dPOo<xuW-5e|D_6_8>8J
za2O0QN#}#9nO$E0xy(w*FI}Rh)f5#o(bHf=nGu9dkNz06M2ZKcL>fSu)3;>N+>g1M
z>Q83N&Vw_N^Z%hKr^u!j7Ev($wU0sP^H^SRc<Cjif79%?S5Ns;_B4FUsMVP<tl?`0
zRa9TCO6hZ=O1dFuzxe=VX}1C84FWYQ2c=I}6Bet+<X=odzKpH@jULU#ePJ%Nh1m6e
z%J@4hYrT|?#-g7$&|O~tqr_YvT_cHr<13~5%ku@I<-kOYRBFxpcwNYzJF}3Em?>xE
z5<zr}el@5t4ZFY-i*5M!c8OZe2brbSs)ZiU2`c^3<az5m!l(1##rnM=iLQ~O0sUvO
z0L4WP;xRHFnmfSu1q==sdwcvCtbbXr^NIC9MV?6S0^@e1Z&{N;utSk=($b9D3Ym5n
z<rUQenawWQO>janj!SWR?e0L=7neh>b3*dvr)Dygt}=*+<M&3;H>_*}fvg)ede`MG
zbIp1qSS!XJK{X+6lNC3J{t>)Lf13p+L`awh!hYHgPZ)fG6(5z-;Fu91qv*_JZ$LYf
zM;re2X2wurShCC3#uKk(b)^#zt*v!~^2ROj@q-iHrmT)SD?+-?8<o@(_QrxPeW!nc
zhLy^w`bW>%vw^pj2NcBQc@)PzUD&{Gg{dhCD}Q4PD8oNRKO(bjF0PtAOd*#B1POUi
zL=NcpbY%ZV*hq4P;$q?Ce?S)`ts>0lVg*HxHh%h!r4u7>nYeM&BMqt@@nnw@*b^ZW
z$eHbw%f4eksWS8wwLDRAZlq(D8<urm27UU{<cc&n=y<|kp0?EAZ;)t<Sx(gqF#Y~b
z;Oyx7b9|!JvG@gG??8I;RM;E|UI=-o_HHH5aL0GHP?_B#7W8>$&-U5Pj<oL3f8t#s
zlMRtL36>+RJSjfd^I)){fPPxZiYL&cuc{Lwb{Q}X^xrb$P>wSxFtP2?sAD4BvVy}g
zEafb9>Gy)ArG<m(5mbMHHYtv-LNOhBCw`h3yXVWh3M!8An)HTc1KVY!p3a>_-RSoz
zX1@6s0RiHvd|44iMO08`Yb!y9*CiYvoN{qkQjrZ1E{T2avq}#a#oRK-Wt0AJV1X1c
zxg!T$-zp<WWB2KDxlOZ7Z)>bGP}Ii7$!=$;4?G7C(~|hw1x$3=2`c#C7UoXnr|23l
z@wXIJS3|XzXh27Qa>kmrt5Ja&WnYYsoeBPMUIFFCZVKgk5!feuoqA#r(swj}<CG_V
z9gqi5&_1&C6iobi&kcO_O@0zg{_<F*JFf}flY?5oj!5ifi%}eJ)i^@Bu%xDl{odfz
z7@r)^&AT;^-Q4;auoH^b>&YL^+8VSF7uD>!iGLM@Z*^-a5q^fA`a9juoRt;G2MdFZ
z*Ru#0i7`IGXXD<8#yqq<r=p$r3nF$Wt|l8-C=Kg59PNR923^;*;_D4(FCSyTPe16q
ztw-mgJy+kfkXnXk?R(HWG4FH&Q#VUpI!Y?6x~u2fef#un-30|?ftmoe1|j(K%I<09
zNm3+9(%gxQm6b-!cjPuu=fVcJDLiZ5jyku>cNlu~t!n=iCI(0NRXQ-yQmgK`2K`Jz
zkc=lp``q2W<;|vl3k0ZR$%pid_;%qL`mOn>zp`|HTict*v}>GWdDnKT<@tPhM&?%)
zmrK74<9G4CcP%RbloT*y(YF;N5bb%|1XDajIS05vy=y`NHp||0n)QeP7#9pE%(jjp
z%YK1)Zbm_%)e)ou3h^J9_~NEALTB6dR1R3(`u3gZWxbF2<mzkp8<N<`f2;Nkg=Z0e
zH+y8wtHR6HZRL5-<@|DEPpA5NLZ0-~n*~0NZ@tz?n4{-h9L2zLN}38K^|{Bu=Q2vd
zHBzM7n~K5`YJQ>-5n(8%{ZA?#D;q9L_*(EvtRH>dT@HiWW_seuH9WZ`Dn=PL;+n1B
zew_8%#~j@ayPg-jg@Mmg-dEJ~SUsk?guePXIG#dh%9p-A<BSYq=Hmps_i1mPq4=gF
zkRDRu=nbp<aE$Gh@H)1YTbRwCTvynjR8@&uJKU~-(xM-KK&VFjeA7}lwVI!t48R4Q
zW*5zdv=j)0i?o#JyJ_H<M7-X>5xE_vG@7jjxjner<}}~-(wDZYx8lxWfc<_7M3$VT
zcuNsYtUVv0J)cH*h{W_|ku~ssEO&DyP1kr-)^c5=<8?W6q+H(H9d|K&{hQIVXWC)Z
zahG^^vAy>e;oi}DX(^DIc+1#J?kd+K9Yfdq98&)9-WF@Pz_(vS&|WN_t@S<YYI{mO
z@?xqh)j>JJhZxAcRyprODtT=9@i*wpUokvibxtwan^afF)?$2gdQEh~#6pzM@GnFa
zvfefuuHEX2OpRdXyHoN~f5A$aqZi+ugl44-G-hM$GS;_R{HZUNp7YW160pf}Mo=JH
z4ogDqpKML*Ri8R1a(UDkdl959Vf!K7=iKLNAhI<uzwk_sM_N#hv$Ej(F4ha6y#Xik
zcWd2uc#nBQRB`b;3Ow_OyZx^146t6);bf#-{8=t!Sc=lfYOq4GtWfM9>B2%5(AKxI
zv*X+`T|6pOiWpngYLna2B6hV=FaC+8d;ahR0|apNK_DvUovrZhrOLSu%#4|i5If#L
zKk5KG$*vVDhuc2?%MQDj8PSElrIjCR^<JDK`!Y7tAKRAs?DcQ0rUQo+iK)M(*H9*J
zN`mGgx$9IRHTIcKx@M#d$E%Dxixw4kJyEjU_~^nRgHFwpbk1?w3*9k@XT8VDIF_9&
zt+^zu2V`C^|H?nGmlh*9ZxB+|Zhsa*&{J2!CFo5bG1$;mVeQ3Tp&9KaTK~uTs$brT
zCM<sFs;8<^Z>zj%N5y;`x$AgRE@Qy4f9HSPlCJjJuR19e#3<K<8JvuQ;0wu}^ASQ&
zrb5KzK5Di%5iGcdE=}s~*?2}_a%!o`Fl@+LVFv$pWbPe6yyCI*IoTp0Cz(u3{0Qd{
zh2DqHwUSe#W<M+%jkPLXca28cOjy(3jt11101nH)`Gc<@Dt#AT3<R$4p~lhwq~cT%
zA*Ghr&2DF@a+LA9D?VML3Lzadp1cBvfWhalTg08Scp-S<T{6xj2}`jPits-8Z5^1+
zafB$eSp_AN3GJ-X(j&p6ANZQcvEq*7%KX40gtC;sUrp-Ed>|2+9s55&uTxgkw@NAF
z#INl}b*)ZZMsU~tP$qqD46gZG_sdF1M-INc!-wwmxc~+AMpO?Xlc-8gS>v^juv9>L
z+6v#5&Bo#PgB}(>3_^vK@8(fzGX%gu0D|&E=m9}rvW5n*HQ&SakHQLdF2R-cic+Ly
zopAYpspDMjzQ~G{kaFb3W9v-XIz#WkECq~_bFANEmWpr|a)$Vv5mi>$xByH0_v5P8
zndKi%j3DbJeOq(JMMZYzMa~rgvCOD5^`33ZZvgD`P9@9g8&tUGZvBsbMNO6&S)b9F
zKnxzDfvlC8vf<;`(iHevhL!M=4i*Ht0!$JC9<}BBxEIbL{xY`P7BCn=t)l^TX_m<B
zp{4k;-qNUDRXL2$@^{C@KbJMHN4ei;6+M&@^|id2B^FEV)Hc;IWz2srI3p=gBBK6M
zzw>Gagv@uTXOU4N#urEGrwGirVE8%hKFLS2GBdX@7WYIcV66JjGpQOad_BK<UHbqk
zHDC74GT+kZu;h|Nh5<f!zKQxV(f}|DI=oNg10~?<H#GL{e{%#f*&YFbt{v_G*|VQ)
z_*rfs<{aD%4mxPi_EKw-@;L~)V6=D2bJx%v5<h}~XV?*`u(5bw)2>hsn0SdgmJ->}
zBlS#ClFTUv&Y^S!7KcJDlqo--*A_Jv-}^itb=Ih_R2Gx-$DMfAs={;gT7N93X+~w+
zupmI5HIO*OATt*&-djTMSiQ_1$-`X7hI|dLi^|yS2+0tBBcl+TN7Z}S<$tqLm{%pF
zfre-#g7Jr`oM}Pz%^T%@z=m8C`Jso9KK~-I#QpnlZACStf1iO>T=NjoUDFuiVAcvG
zXuZwka^D`P>$(w22LTc;L%D?L8B@HODisoCCHcjPFbPmkQ#fpcfn*LeNelW*JZG)w
z0?!*LRpwLqW608*A15(xHdb#s#A4%RQ#FB`%VCQjxJCWsEp)#b);<P4t(<Cxgw&6H
z>xDH`JGI*8^7J`TAO2vefTbQ_m7TMC`op)0d^`*M81;=WlbCT;z>E0VBclFkR;OTd
z&KkO87JKmY;r#y9_j;N*Bbk2&(Mh@mJEV0y)AR98PBMeizif$?>89I9Le~C^lJ{mu
zD5x{CM11p>c(m(@5gh$JUE3!dP@<!v8tYsJs*wW$Iw9yRm!)GoR#`C{8yf#E*yr>K
zW)CjD``I+*O5-Da6;;oliBqxHx%stZ(|>SnwzqRL>t|g{8KS#^L58Sy0C5UCv9Qh2
ztEo|K>rW|ZXA(wAsQ6JIb3+FEZlL0N2)Ukpify>q-VL7$t4+oDeZpA>#XRMx{0Uj~
z6C9BMy?Sr2ba2jF;c27gall`C^NeVp?0uGOo_t*nEP>W%xN_v)KOjg!?fDoYNvJ~P
z2HkVIfnPynWjh<zJ`Fj4{B09D0{Ui-Ayቦmok*AIAH;S`M8arf1n?8ajFv_ew
z0mt){L(vgfQZy9Mx~`gn)vZ@FGp;f-zavE~E60}$rXi81s?29LubmwPgGD-eM(S4P
zapo;Lmv|7!fzZ7%XP_ba@wLJej09-CK&-4T7E}cA%YRg>%NviQmvH5O7g$M2N%@tU
zidax%*cLK%AnM@o_1Om;Voff`=;Z<8=ktB_?{x|}LwNrdtUM<r`7%Q`3-;7gm_9|$
ze3_bj%YEX!v|GjfEAgcJQH1z28lSVuM*4w(D3c4Q&d;@Z8{#ELzTR+g`!$Khk_qed
zbvtm5n8O>?e)m@1bqEN1+IDEbHloQ}Y5SEP8@&%9UN#7ppL)2ydB0uK-syGu*SQ^z
z7vxtz%?a7K0H9T+i$m}!|6$7-uLt4tD-%P<b{P6G3vM6Of!jk~&Xd>r>JO0bLc=rE
zYsD`+snm@3HwiUr(S_+MC!+d;&&8IzhAm&Yf+*m)8?p5~g+u;F#>0vu(?%?+`ok?Z
zPX8d^$0Y(audA$*^I4XR%w4-4YEQwAy((M1zNMoo#}|lgjI_o*H&a7tL-Ks=Yrp(L
zg{;p%97%2ZQ6n2#an??kqK*XK*g@%HQW3PoB-J}S@IVLC#q#vFvf+ZCjnrs;Vr`va
z?#IsaFhd9m*Mh97y5JLy1o`$FHV)R{rSO(OfM|Y2g+r}@GE*!+4+VHuj=CO8U7x8i
z^zy_baADa5N40&7_?bP-7yAf&7ly_!*@m|ZL_;4mFOJF*?ZpxyGJDxz^Uc?5n&;#i
z$Me+*iIyF96u}KtSez=9$A^<!4h&hqd#|akR?yat0vxxuw+WV9ihzcPC<X=)nE{Na
zapAzz$fH9<!e&rIm1D%kr-R4V7<qLC3+{ND^#L#8UY+B|MN~J0dhts+!NHA1+3j^-
zjZipjT?K9NUK=6R>Vo{MM@@Td1adlmH>!IT1um`_9W-)#QrU<>WU0;_3~IGx4)%wt
z85LYxgZ|d{XHmPTt8#>EPbvIlMSe;a*szfRDdf~NAiD^E$1dsS7=WuohVRbDboPKB
zLS#opwmY|-d0N1^@lwt$wEm-JF)p7BS7MEbm9PTaz(!mHAu5Xi{PjxdO)U?>=h}6H
zC_?;<uC>DOw6>pT?H^h!%f+Mf$n9knbEr5Twurvrh#y7qfN1?qhDX_ADp5B5bA8pC
z<*Qkw;tPIS2FF_>cQVODc4TtAKH*&rxDedd($!LYp~%7nva(HpxO0#En;m*R;2Zen
zI#<J#!~L77=r(<Tg6kLis(2Q#f-RUnC%tx`!4B@j_fH=jBSn~u9XJ7iqYZThs}Z`d
z#pIGx$qSsz9^<T>amQ|#^2FKI*$4agumq~xb6=t+R5a%l3Ce08)Cn{)<AckqlCF)q
zkbG6hX0?xb!N-i!>vpw1Hf1yd1`=@P?M`Ir9v-;JgciQ$im0+CM`l>BjhbJK1Z37T
z#>+%4isSI-h{%83?~cZuZ+0_QIe#bjO5ofqPk0G$0=30o63Hp*e_ZgW&2G`(X~1_)
z$Gw3jlOulT3^09wz%g1?f?Y{d>WnFllshf3z)OJ~g?$r_^5M_!v3U^AjPjgs&CD-=
zz(UBR@`7^lEfFoR9g04Ed6A_$Nr{1}ctYRovcpenEjxo9wq(6yF1~5FT~X6tWsM0(
zU#HDf#s!txtyVLCfeaN@oCe$n`8^2h!A;o29k0fkea;#}X{W@`&us#7#rY*=D&8$q
z!Mgllj_eJb*O#Tc=+%Oc9U98+Adr^h0GU~_e<HC5=5J^#z+6(rOE5D<Ik|P6J$v3N
z$$iVs311;_ZTXTT$?x+g3wM2!egm(ax7*FF`kt5o$$r0oXMNtzDyWp{@Ch*N7}X)2
zcekf~k=^Zo>rF`peno>LJw9M&Iq<fgU>8Q5_iYgnh^6gth6K<nwN>GYRF=3CdsP|l
zuX=<Z!&N@XBiS=MSUx+WO-RPO2aOI7YM>N`L)xm*iG5D@GpbG(Dpfm{+QeS45nd9&
zuo(1~iiO@fdrA+A0~9;qXqq7f6XM%C5z#!j?tD*)LNRY5HliLtRA&E{Dnc2Xp(pvP
zORcn03?!+Xkb1tSt5PATkr-6I?n@&ALTc+J1C&eib<Vx<7J@@&BS*LBHiU;VGsCI@
zm8y+rsX^~eGJvVt8s%8)1z0z<ybs%P16EHHA}C#~vNB0b@031Hs7fj<nW6NEU<st#
z$MM#NRnqGAh}9x`46>fcEnhIX+RQWRKsHXAO<_18<X0cxll1SX6D1q<yRNPO>@zuE
z=FH&RBLtlwt!B%mweXXl_ZR4&0%r%QC3-}_DKJwX)!G_R(HRLRFU5`m4*Uq?=lAsE
z7Oo<QK%kKf&tqL*Z5tkj4s%|RUgreX;+*js4hq;2XVf0uwxg-M>;%Qfk<CPh{{zR$
zc|&0OHoq=xMw!iI?-JgEk=u^!mL5&#VSKCH5n%4w+sebxi_(5Y>{WL$KR0|G5%QT*
z015fquqd0GI-E_jH5y3oAVgD9b4vIdF?TKw*z1^r_bx-#?X|DB?|#;r_b-1fzd}o#
zMtQ(!3X1-nO~23Juv`~DxC0>~(Wc9mSpJ#9Te@VgNs_4WrA*_M(6gk<;Y8=bj^1AB
zJp%=loc#&oYLMx^db1^&^>H$JRDz_(c-DQp^ZDpS^1M4+Ape+X1Fx!jUbA;9B$>g>
zdmlwPsXq0pHHGRB{?+aTGI71)P9VhYv%_zwrNPb}m-Sg)9X}}W)2ACuQwF|=7f7D-
z5QM#MCL}N09sz~q>A-V16_kSeN)s;r(jU>UgM<xyIw~Qw=Uby|yv~I6o9$6+FreJj
z?t;cWl-G-C=UKomj4}0+fA~Yo`SEMW#oLnS8D~qe!`oZU-GQmcu#5+Qx&5gi99RAi
zLvi~HjhMe~uLA`2YRR3cU@NvzxXy)#&}T)|9e;nRM20V)`F>x2rH(teN#$~`SR;<(
zI;xo+`6Jm)rhM6|ThXe+Q!}UIdGdPf&7ZM1czUl`&fJ95IUm7xdynu4D5D_(g(<j`
z&~@2wY)p<$yBVX#Wc2G|sdft%@Ne{|Eoc0k(E+wzTlk(H>fN8t7s9Z!D0p#Q%Q_%d
zZA|Rf;z})^_$*q|#in(`;Gi-B5wQ99Nb@TQ3{2t~{EqIcvW@p`4A9{PA|&(}W;wjA
z|2{5juWHsI4G=dG!z1+UA4(y%gM1IejH#A4VqSM++9yn3+Zy=%oI9pE{)T)Jnzpt%
zof^w8<n%{qzk%DbHPxP0Ml<o$PPy<WivIX(U+&~O$u(Gl3^cB6W=*6O?s@qKW-C*q
zVDGi#eBwa8aqEqCbt%?UC`Qzy9j~DlF|D<sVSJb5SoxC+R2cp(62H$FYUBPJ4|)s(
z7`3BiXL5r`PA6LoRqL&Dhl(z2vv|rzR60GTzGY~qK{v2Ro)4D8+mLJZ;pwmo`)`l?
z_l)S>vNE^3J`@GMIy4(H|LVhZT~BG+2t~d;G^CUi*Fh1VSq^?b!Oj?LVjsvEWsm8^
zcyte+HhMaG!JBP(R$E(<eyM-W4U+Cei&OS8)Hoq?nzLU{Pq=8anZAY^^HkPbLVXRk
zxXl6o#xp;@z`h11Y($B=K3qPRaT)9FPp3WJcPk--ag>Iey+nM+3G|wk#t~yO-tX!a
zja$)6Q$1+>Uj|gu{77l|qX&*o2ZqKPAXE_R|LPQww!sk|r0deGS$iTE$Ts5^$h1O~
z%zD`-eVY~O6@aLbV(1Lde-jo*lKsM*q3rv^_<Lsi6>@Hka{yyyi2JTBt$nwmqumfC
zN@u|JhvkSZPAZ0|FDW;lj*i`NbuPw{IGx|XFdAi_sU%kO3DNGTr)U*5bbK{C1R9Ae
zeKhgqeoQzXKN%@kFy-075PU_7d45&xZFYH)er8Lg3&B2pA~Eagrgl4cK&fhSIgf#x
z^Kx#w0E;PkCNvT|bsDj<x~zwFoIWzj%ky6Gr@QTX-*1}u*4eF+^|mOxooBTVSTe2p
z*s?^wK97385+UAyf`j^md~)$EnhE-6qyDjDZxPJKrDjKDBC$8Vz+1x_%AMUM8tjAp
z%2|7uBumM~Sw<UFUCCjj%tOm?p8zimWd@ke$9}ZUZDWIjUrBe1;<x_hG2XMsjr`Nd
z)2uuL2;^n6nHPE@Og&L7xkE)m+erx4T{K;7`ko%`SiwuEE3nI53bwsEMezz%pK8Jk
zNf-|XBff^y9Jd_Dn;ihWwLXA}Vs}zEmz|dfRaaM6SXRcisG_2>zGzvoQqbZ5U33#x
ztS*CW|FCo6EQt}r<e?Uk-tdv3zF*pLYA5TNWA9=kU3WXX9RtI6I~t8n%;yTb_tffB
zNFs5B@&Fi)k?j>z-U^K48zK2iEk~P@yl$Ti%<AdiA2N!~)DgE*h4iD=_-3xs*RWmi
z-b_~p_VC6=Iv)3govf~wdjsm+<VfJ+kEHIvZ!;(jrA6AYg;n(Q)e7GKBkHQ7ntr4H
z5D=A85fLeok`_>!0V17}(jW|&!01j%gOJ+j5C+oS9Z~~Ech{)VU3<sxJ?DM@*grel
zv+vn??sGrS{oK#}+y}%<`Z@-uI@*EP+DFq*f7s<5n)~bK6}II}tb8yvnu5z&Pz@$r
z6XXSoA>s%;E3`ftKUBD0DPg6YDXpUY>V2ux|Frqkp)qmepqft2_u(SmlB#G>Pb)3h
zD`tcNr6RH>_*R{STc0!?C2D;@jpxd!$SU#DH>Yb`^8>P03w*TZqN3J(uF5`ig-Kgm
zzg2~v?;q#6oPSdnTrWvDKjJpV1N?1?pir7<t$7GPZ*KM@rJ5LDu};GX4a%VY8vY4E
zEbW{#nJm$d?6-<kx})LmYtwt!$ABz3Nut54ai@=zkxf!?|Lh%coK`i!*}@g+`Ak2>
zv2(489=T1}*_9hWs96wjUd7L#_oA&YVXWprHnJsC-NNWcmHzL4h&TP?M}9s7<=nnQ
z*YY)c5vZk6m)8$oY2_lP)SNKQw`Wjmgk=6BR}1@%S$X%3rHM~_aH1Q7R{lBTyr2l_
zY3lqkg?yYAT{`i{Fk|}<yL(F{q%@yGr`ISS`|mtJP;>0iFhVAUk|h8ntnFcC20>-L
zR+MYK-DI<FlD(voO(#Hj`6N|p58!K;7{W8bg_?qZT8I$ii_$4wUc)}@vd9vgH=AzS
za{YGy(<bj}1v`Roe%o^3M(oAC4;jFjE<`E89GBrb8|gyhHpUdwZm~FB?iWCMdurM|
zv-@o0s(C1FZRC{vOmsmUQyAlLx|Xx#CIAcz#aub8=vty4Nl4JCjuo-nno~JvAAlAb
zDd1$zT+}QtI!0?(99o-GzG1F5SI+k<UF5PGXzhS01hlYX_P1%KewPb52Zs!Hr+qU~
z6X_LY4=|qFu!GS(%r~7>Z;F!>n)Rm1gM-P3=l#QwDw<cyaHXE+J!ss^{#l4mQ?T%{
z?}1BVX)7TyyTj*yzJl3XuL{C8YoeX#aay1dnoK;wCfELzc_kxA=ChYf&~ma?o}C_x
zG$9jaE3+MH1?n>ygB$+}7#+nZ>SN;gOfo-`;WXt)^t5_{MakB$ldo%3QGZ%gCoe#l
zYc4U%$L8OzL3U9`F;Z-Pfj{}`#|`?lE?eff)M&vl*u2`q?nU@cWg1`8MZewh@-Obr
zyJ;v5x0l;iRvR8ulmZZH60u`7?`5(y2|>{+zQb_*=dsiQPB}(lZqr6xf%^B6&O*`q
z^<t#azeOaX6B^|v#c79HG^zP6Hi1VL+6JV6$*QFnS&b>Mm$EnSA6zJ?X%#9)pZI3S
zs~sw*uO?YppEH&vkOGG%-JT<H6KB4}mm0gId605kQKkB<(zLh?(kwLUP55~%rn#>+
zWgxss0ZHQm%T8SjZ?k+l>!StD#^dDrck1bYk1(FMDN@sP00Xz1b}=%LlqG@3?b!Rj
zhMBm%MW3I(poC?-4T!=XusjfTA?WS;wwRF2?e+Z#p`*c6N|9(Uh`Svhf59l-H@}mC
zNC3V;$>J8yRrqsR`*pb37{fXZ4;8?^6Q52>M^>Qj<;(%B-kB+i9dq`@`w-E!c<rI{
zr<4cN^`rO}MPa|X`D?$|%r4_^0f5DK=?&nLp}QQDlO~pS-WFAJcv`#&Mfis2>>)8q
z!du7EHRlADW{5=L(W2Q9GNjl``;%XTGsQ)+`Wnbz-8DUH=VRi2-<yH^Y>=B%ACD_<
z%wGPY%nA3D3S(GNL@H@_{=)2cKhe{wq1zu3AonwD`a5C4@Y$tVFBJZpcJl&$KWVaw
zOq$J%Eilvy^%FgS%!AJORc*Wobp~$UsT3Ib$88%^?=C%P`(2`Q60&6f;!du6u&L_j
zX;-BE;<d%IzJI|Z%|BcW*$=kE#Y5Y=uR-iv?2@9^x59gEp~0XohBc<4*aEa)Yhz#C
zc-o(;OcbHXS%mTKufX!R&C67i)4l}4F?O$4(1`?|%2#`(?@vY72~H+DTs6(~{t;X4
zcmgs;$@a^<bfQn^FNLZ7_BlQhN_~$pZ*cWt_&OnQuc&*tQ<%6v#cIyxihr$!Fp$Ba
zee#c|0@EW!&sg9>L#>_RmY1FT3o7j`oAnH<2QJ$LXXF%d&ldwQ$O1*5aVC~~fGz8!
zFp6V2(-%M7u~Y8knk>2Ei2#Dj71DPvpY<a`&zf|U)R4)Kc?;^n5meUH%0UXqc#jX0
zh@69BQQD5&>XiDzP|n=$(}9yIesdoZ0mB5mFA0q6FcsR}4D6rBv&y|;nd-sJ)pY(P
z*>xIh&$K_!^axkJLvDZv_{Z)zl^4!paQJFtg!id_^i$-9achk@*FzkDe!W+3K}We{
zjaseaea_s}v|6?R@*1nl_kd^f)_(Y*adcnh_LH7&5B;8vzrqY(V2A-Vw}Ez)Pt)>#
z-@dP5Ad{I4Up#jZGj7ahaKZsxk*9_Kp85WfKV(9WRw|<y#dH#TptI~htomis3zoq&
z#=xHTk^9dlV`RKI-=_70x=#gL2H_FTgpY3Ef(6%BnnBr%wU;7;asBr;rnm_eRXZ%1
z4MV2a?K0n=0<?2-%~O!x?p-&QnY{0C0gHj8V;Nw<qC=b5^JS|D@n4@k$zSsQdvmC>
z(vZ;H)qBb^IC<GWi)GXu)>|bN4>`q7X@(CAoCN*t(%DbA^y)A_zt(+-Osu2joGV@m
zM~kJF@v9;d5MJ=T1cAX69H7!B#Zn*xnP*j(ejvGF<NI2#h#rpSU;ZO}Dc^pLMl?IY
z^QEM+`@F<@T2aq8cNQ>2N&?eNik`wAHvhgR+jrX}yPuk3Me+iVt@uEGDgjwv41_zO
zzoX0tY?*UokPS#d#vaXJy`S*EVF_lKFLYyv+_3fBbdO)=n{|)2J-$76N}7$oEm;m{
zhp#D5kt6zjXf%EQ9e%B6oN%;iO!#s%(QYGWXO^dgbn0<R`|(-5PGu|U8F<KZL_3CU
z9968icB?M!>Q_e=*%?Ees6O#3?v=vxZ6LKG$tG3eF;UwCndOkVu7|;kHJ89;mn};U
z1YE1yg+3~IhIRY^AEt==o1N)CfD3`*#A=W73e>@`@)rdq<ds>=C`n5rQcs$%W*;T1
z&uWNIvkrms!-l_#bn=4+@M5)}FRe2*clT`Twjs@|C+ELu<a0~=O&;FjMx+MHLL0yD
z5~asBkqSWzw?xt=QX$Z0D$tl~iOB&`fu|46yt@LXZ09&e`KDUj=V|lJW=uD~wO4#`
zL6)irKyYy%>(i&O7%6b`#K<i46A4nsyeFXWpz*2?`zVf|(txDb=aT!Pq-U6AT{Gj;
zQXxTSn%&>c6BGQWb6pX*el4L^pI$7{Jd}w;C0wzCfOdv2>!m=SuDlC!beAm39IF!f
z3s2o&<cqv4De>l2e}*f-*k4l{uMi26FB;%=Z3&B1#1$s7QQTeu!?xEjPCxkSLxj%y
zhdrU*xMH9%FR;?ajh4-nN;ONa(%XMZRTZfyExhAWF2Yrv-?35Q(TYVEoSUA&O~2ZO
zoq8^KS7P>x<{~m}JEubxl*l>dOWD72WBlYh{gcN(yy$MRL%~+=W)tP*=R36GQ!KI@
zUpzXUv1`sS3NL}>KGOQrvf$)&Ih)1gv)(+oFY@l4P2Y|9M#y07?0im&@~E*tA9J$p
zHG1@b1s5=_e&Svz4fA+Z_av(kudW=|@5E^8;NJ7t<NyYC6`4`v@8<m9LOQ-SOxg>K
zyENXDSU3-WAf1_Ke&-1E7yOAd_1$D~!W2J1N=mzv0A3}`MPTC%@M`f?v~M|~HRc<d
zqiCdjPh+Z6QZGU@)yEPY!7F#Qlo1Nl<E55-+)4XXAWXSaIj`l0?)n9l4x}C4g|Uah
z#5X2u&lktA`0}7S)J91Ir6Tc$x&^mdT*%z#Udy+x-AF3f_1^DOkHMj<B~{E3<Mhjr
zU5aDe$i#4p+hb<_=<vl%$4PmD#VZ6iW!bH3C`DCqYb&`%$zNx`hOyJ7k_hR?Ap!J$
zl4(Lt%;Sanq3D_FmFy%)+uaPQ%n0E}6vo~>1HdbrkC|rN<hP&O9jKq3KU!*)a;rjF
zPxcOI)ht#rb#gBz*962!YKAap4jP9ojNN`2bg9fr+&>ZUGKXA)96T#>RcC$-;qJR`
z8{hYlG#)#+r|r_<9};^jjQsH~J{SM!iE2~$KnLN?fMsf4J*Dc{iTU56<L%pQyuOc&
zE13lJXqT0gadDGzE+bR)51oU<Y)YS7BWgV&xTuX)z1f5?UV54SkfA^$a)AbKu_oBR
z+_Jxg5-DYEO;m14T!_(o98~(PgV-#R!1oj{)n}2sWl!pLm6uB{<`7|d05b-PWUWkB
zI8qHHo}lT`WPpK$@l2@GhYU%*T~W-*Sp8xp=^R1`FniN3P7L+~?6-<fEG-~!SxXoa
zHldY)7(u>KQG+Xft~9sT5rx8<MuWjTt-qVoi*?KIb2pv8-mOK^-c?K_IG(pJU~b*+
zCa9iI_}%CvI}HfcZ2b9U-|<A2=p;{8?Bw7BBkm=LHI60lwTXp0$~ETEbeOAXq_Mvc
zp(wyP%WIvf+&7kh-2u^NoQ{>46*pfnWYQ>pvPn?nj>#l2^_lqEFjjTXf1#UJD5|We
zc@BITOu|0@JIRQgE-i^Gj8W}L@}p+54(onQ=+E@qw<SzksYxWY*;&DGk>uPt+4+l2
ze1gRxTY)bcHnaeZ=bAKc;l50a9(FyaX)e5l-tmuhgR1puKged|ZpT6UR0%gCN%Z+F
zI-MpaOpk{Y0b*C~A2zIPBE>=+PlS8j3@YK8iJUv}j{6Utx2_p-k-6YwQ~H;{hthGv
zL&mw=8G~q#7D(@gzEoQ;S0YpHZSKFl)oi*V!9gn+8*9I^Ur8Q`EFBNw((>a`3%(U`
zIo@Kyde4qtew7pL6h?e+oNfNjLn&!qJ803B@&#;0MxCQKe)sdRoR-AXc9m#nJ@s?v
z@LR!EW~}QryBcxUu>&G@uxbY6Eyop~-M4ki#jd!;-$=s|gX%lTc<w~>!@;wW7F0)C
zsq1)suk1w@m@YxV-B~635m}+9#ovBW*%8L@GnPYCx!gyfr#yqHITr2gW~#IPZhOXs
z$eVhu`L*}2R`hOYtnF-gJY{07XGm0>==+kO3Rf*dRe4?k%t_K*QR7<EqZ^LB808e+
z0TGUw>ar}aQbA6sgfXf0@{Z3DyOln>AC5U*lvKQ&awHO}uB1tRl7=SetSRK!CGkoA
zlH0VxXV(y-DQ+buQcELFw|Q;96KP^2WHJ*)4$aeiY3owxo?nDjLAFpXbBYB0L9c;K
zw07);k4Zm#)1H&9nVM}Hh^51-i<~V-CY#+YR2=)Y)mmahXLLs>VYFWjr*6e-CVdF3
zC~sSTf+hiv&yFXjqI=1M0EY4p->&Q~1J&Kdfb-1tG{vy;3@2vinM*w~n-L!`;Sf3f
z3o}6x5i`4y^Yn<^8NSO)j>Ckq8|FOfjxtyMhz04>Z;b!o`~I<pLMG43Wc!S;^W-?7
z+{O`gb;5TR;(}X$Gt*-~SX#2|HeEreeU69jM8pv60G@aJ5x}0^&+Fg%k&CG(6U%q6
z3{FhBzE8vWp&-QQCXk*+$LTAXZ`GyK#sCR=VpU}PnvnnBJoPY;ZpKy22vTP$cV#f*
z$v1CJE%*yv6fJi{X1&!Me+BC=pc=kSKp7i6>~h%u5wngib$Jl*)-$R`@^MgP+hv4B
z7$J;!UhT0Aj@LUXMN?DyI}F)yJgoS+){&{G>GCU9MJ>S^jMa}l)-m>Z&#asngf%ZY
za>tI8%*dKYmuOHGchwcSl@@Iq+C&u7VzIo}W2Ci=<sp1l9De_A@YNHKTRZlQ*tSwx
z<doU=V?5Ji28X~`59-?$PpB51yyG?A+17-<en3Yli(bn~LV37j?Z+L?=G<0>Wa*@Z
zQ$ot6gx~pIyBoMK1)uloGzBE^S?>0m60_6L(7a(~Z9RxI_-P*n1wSLGD1hq(%qw<o
zV`h4fKa7wz3K=CPaS?y*QG|^xtlm>}Z3z6!WN132+>rw}sOl0?xII4mLgqB$dS4;a
zuD5N2;bO4Hf67ft4-u-%Yo|D@!}8T}B$>z2*ExS^0J?NMocf;0Sl8-@ex-5oukuDW
z&ume9Q!7P?r?le-h_H$La62P1jbgB8jUUv<k@XOM_Q^>bDZ*$DRaq(Rl)D_+Oz3JH
z9Yf(MVsc1Kd^a^cci7d*Yd6KK<3U!b-X5lqx^>Xv5a#BkchN6Dp#$d3lo@Fhp5;A=
z0AIc^JoW&V6`I$5I2fZurQ4`XqA1LH(eP)dQAT?T2NG%YZ5~#XLY`Wd&62GK9lL+T
zAXlY!wiLCKT3&=}5pt&V!${`h(9i57Aht5~RBF1nZa32Frt0WAVoZhZOcVUdt{%{{
zOHM~<t&>f7g`7<#PPh@Wb!a%8JR6#yk62#*^56=a!jItskn{7JUrRY0yKEVI<jJ*-
zkvj={9_D1dRq>_%io=$>?d4@{<ypy0TM@RBUpB!wV%+jiZ7pxscjiMn8dcX1M0uSR
zze40nITIRi<Xa?>_+8N%sO|QFM@U}h_SY>dRlEu1qG=QD31@E3MJzq{)+eF(zS%=q
zxtK-6${6^n)j!%}n!CZsxb~JQ3E2Zg#Kg{5f==HtV{dAX_Q691OZ%xjeQ!A1%Z&{J
z#38<v)dkmNYz*rcpJ>K;@DZItghD13uPvu)5}4);Le?gd>iQ3OI0#U;_n@HI6;oPV
zL<f!r$pB(fcb)L&^0UtGj+FA2nS=$Qz(&)?iq2^zUT0s+Hx*gi{j38r#Yhlz0arpm
z*Zv~K^h<YxK&faN{5GbYQ_dNF5ZInZJLb@CRBX9i$E6~E<9v-(0CZqMhy#MN+5~Hk
zrKVsyQ)OGT6higZGUB?I`GHwD>4dGUgXxQ<{ogrF*ia$*FH{0cn+nNuZSMc-Jxw8X
zX`2LnCXCS5)?UUAVs62r!Em@Dtj)#n4g6ync8T98BSYLS2m9q*0+RX9kMT0-7$J}G
z=;`$9lX!R%F%&kEFF1*|2`{HBtq<n*d@1hSYe;?f17~shsYyu7vR*yN3~z3_HdPfn
zCOf6W-Yx^)D*Sg?csERykw{KN<__g8(f)kp&3IZj{*E?s<@Rc?OYCem5L<tz1UQmT
z1`|?z>4|1KABHtmRENHQy`d2N_?LBBIMrD5gCL)5%i3R}ROp9|N=}2vGPUN{9Ir@w
zSHEwrSuxtl$?Ba^oFo{POyLvPZk~x$=6E_)CkT~)zZNV1<C#zwds_eOvLIRmh_=?9
zlD|FpenA74`DnQh;wFL_Y;UF^er)vIn=sg$4k|+S8^!;_x6nSSvca6RO(m7Hf_!T^
zUq=eSbgfVOntoD?X}i)@dt|d%TkGwioPLh4W>=dl86S)n%p;S)O2%CCRux`#`g`R)
zzA4SvhQc$7%HD~8Vl)qsS)k|S<1f*v93zx7_3UjM_XnrP!l#_N+B2fTAuK~o#)s~P
ze@Ncm^o3Z?a)DyH+y+2q)cJksvP>PnnVQXpXHT7jfsk(&Y+!AZxGxzzANeac#VL}w
zpOD0{A4ToW5+-zw{5nlzX_bkh6P;9I0x6uFmq}uakMi@<W^_sDNw;0aLEV@9#Yl4x
zOk|t{OzZjgM9^QNWNRJfm+49|C3deI+5vAsmyuI}183UEhTHQzb+C`!v6lYXoQmOA
z?=KWLfkiAJ^Qv4HUgr6H)Y^42rr+a@aQ`*Kt-~egm!k8@0aSzdkYkMWOiQ=<Zy6@3
zw|gqpVZfzrCL)Vc>hHUgE(MY_G)qo0gL87tJ6i02e}U_<&?B<<K8c4K#_RM)IOIrg
z=CC?5QZKK+?_>oUw*?eFKG@K>A0c)mEgW&Y(XhE<n&afJxIxLZ2uP2qN;$R8f{$7~
z|2p1<{zkmFRKO~`l;t41_(O&-WaSW?fYbW|b>!$&1h;+2w~kJaHiqNSoK3+Ihn!|G
zGlb6l2&cC=K0fm|C&U2qhzOmR>UEL+`DgM83k|z^e3zd?seK}5;HXJOBz&so<4Y6I
zX^-Y<UtbIBKNSlgfQjozl>Fjw-%JdX9P<_T4S(XKHTMR0<MGowTq}CM82J6)m)cNk
zFqpOJ{2%w-=EjcN8G6--4UNPLdneq8X+O3AdU5rhzD2?Z0VT-S|K+!~pH;Tq?z+^v
z?{QV--piOiE0;AM+}_$M@xE~6Fm9r@o+!c}JQ|yEpiZ`Ld-%D`{NaG`Hb>Bhi{`fv
z1F+3>+xqzq#|>b?+gN<}Emb?>GkZMA7p8KvuO76?n(8;uj1aPidc6qPk9u*4ExQYc
z-_3phTxCO<>bb@0o(j9#5(5us83@I0j^vQuL2vRX!4JWDP@Wt)gutz~odujIYPGRW
z0-?T4sqqK_pB5g`J5;BAi%_-q2>ud{(hODVAw*0kP!2J#V64sbn7hhcp${r8l`i-Z
zI?tbNt6LRn*B2GcN2nwg5yhK<ehen78A2{k;yrfBqdtDmDcAlP@~9bV<B(9%83rYc
zJMVL3|5voThwg}-J>D5~%{2TaJ6sZGw1<Zsh{2_(o<0$Cp(v}Ay{2Hu$?nMk0alPa
zv_&WjXgsW9n<h2QckVYAK6{$AUVf&dTMO(O7RhpsEczS_-y##djK$rbbfN<Qt_`x`
za&)TIDzGG6C6Dw>EAcB1A@_%I_+P;zJ~~m1oYu^-j%18}d*fy9#oe(#@V8Hd)}<?L
zkP{HvGo@VY**{GT76;J9^&hm=iF1iqL{4Nl+LTORe5u3OXd0`wKG#$2j!nU*I=L7U
zlTHi0<#H<E@IXC<d{ZemtdU%B`VvzyIt(3mf<qsiEHNvyLblJZ)jyirU_){@v#vg4
z<I9(ays!^uU_KM*8$JaX6GsonoU!3nW+Zh22wh=R-7spk9(6qXJ4;~es<Ak$<FibZ
z)(=EPE8CJqtXrnTkuZ+6@$UvY9K>bE)pz)QRYTe-K4O*TYU<;PiLS^D?)l!SsF@hP
z#l^d>4Ah6z8vuaBj$uznf4*4r)<Y?z_p76afRSpaCc**CAF4oj7S(oCnq7K-T6r6k
z9>ciFDsE&q9fnj9dmMc0SdrzdTee%UTl}s713?VdR!|^nbzH%eCs`$69+Lz&GX+>n
zIcUoF(B475>@t=T>3|^~H4Y}PN13VD^q>31a=?2k=20A2&ARR7X&3(HT)?Se4pUk&
z(bi=AiqizoO3c&fgYv$4NEdwLwagU%h+bQn>wGbpRH2-?O!Eh)ZsS1~rFefRl-4*;
z{n0lGfMv47eJF=+K#VF-NT*)&aga~sN9MqY2uNST3?`IT^6{zIU9vO%dw!ICwqFY-
z`0o(;#;Hnz4Ib0#yFgiAPc2SATJLX<W>U1D_dsQosb?_<ygDwi7;~j|oOC|N<>Cd~
z?c-x(ZREdLQ#&{dA>NM-mFh(y2<zT{rNl0Rb+db+2<2#93Z(;%8b*4&{1W^(;;U|_
zwX%lONU)^F^rx4jPm_syM$ln1F`0VI<=Gkt9YJdm6N^vDv||aiNrkRI3V@)WxSmA%
z1z}Lh=&OpX3hFQ>wyJ`^0p`5P%5wwz@%t5`mfD|Z0D@E^CcR*7rpjj_e9gELKUAyD
z5?n3EV}F+xG>(iM39?_)FNJsV=4*H=J%o4lBXC=YdiR@n3i<LU&ijaJoC1XzZr8)0
zIMauRuhs&%;Rjk#qjZ3m@)6In(d>Wv3TAjM76=18cTT`!KoODKj@O*@S0)Yf*_I22
zp;8pcmQQJ74^*$wQXk)BTH7ZX$>=6HhL`&@g&1b9B7O{etZf_9V#ig<*Xd-eX(w}z
zhbO5E4~!2ux~vJDJyDz=S&`$1$ZzwJJNrZ#%vlyr$Zwj(unw7>=&Ls?MKwVTdLJ!_
zeJew{#h-njbmmMWblo~B38Mjc&v_b^=-L^debm@Z;2ORXB^#6F9JK&BpzubV<Gr=T
zw%ZEV`5&2){-AQj#_P+cZdn_irU_+C3)<dx@7TbfwV!?Mnwr0w)tA>s%N+B4&^@!1
zYEypd!Z1=7my*I45IFV>8a9@@3Y3$v?dfdfze#prJrcCp6t+~zncMn&=-cl5ugq(r
zA@uNI(FPqtz0kWnFMB$7<<_+`Q^L1jT4f7}6-zyXlf95w9)JR7eE+S+wCO*3v8#Ge
zK3R8GUg&=YFCOt`#+x}gK-=tX)&rln$8O-gbJ;f2BOgaS>4GO4QUelMuiS~Jc!hki
z2hmZO+4z^{d1n2(f#|ayQyS~~w^u8ZNqhr#83pTrw_<+^={es)B3g0MlRCS!d(P@B
z5*@Th`|_&a=T3kc7(OZ~vg<1g0jteyp@ZcO3zqV;UHHd9RFel4zzM@+IQ2GqYAEfW
zPxp5E0`@X`_?sM$o?EqHA178_@St0$UF@0UV;R6x0c=)_Z5S&d{$%_h_;!CW9N!d=
z7fUag#jUSf+)0*<Zx3NS*zpk0o;`c@?2+kkmb~CmAKwACZ;SZsF}|thZ#mH56GfBx
zzQk54!hly{>e!GBT3X_!(r&}1I^NsGJM_5o+^dk}(kdrA`#xo~MsT|+-aQ<fxjJ(F
zYREq<1;mo<xs`k8vG^ohhG0YfanKmmOZyERjm2sv|A1Ey%<z6t;hDO-e;v_#1GiTi
z^A@eSSX-ivc(ucO7|;}B&P&N*)bIkUz@k?HUYOrm>H<m}R%EXCL&ZC=V{*gqB)KpH
z$A`X0NeesU!r9NNGg#qbng*Wfk)%ltiw1hO7E!v1U!|1JD6$Vf&(td$D}mL#EXLJ-
zRP;P4kL{?qHzy9W_;s$N`uNIbdRTaWQQfL4)Y4GtN+bJYMRky(5kNvLjv}9=f`LxU
zx3S2U6&;0A|LVU<oF+-TS5-jy)|TE*(5@a?TpcKe0z76U9WY=6L)F*e6Fs*~Z2eVY
z*6RSPqvQBVGVy*p+MMu&;aO)Pj~#1{G{LKpuB+qtt!{Q2jchjuv+Nk?(9utWkqNO(
zwX0ZdP32zY9Kw6<yXZ<mn^sL~uWRb-6*s%>;BIRxSSXK)U)>tFvv39KQyj$^#?6|t
zS{Zrt^RH6Un!~E=6t9nsx2^Uj+2O1Mxa#~^Ju`tj14-kjWGuyI5{G)YWwyeCF{~OC
z<>$Is_8FxUspfrBZg-ku`NuO=9C9HM=xH?Zt`R*Bvf<EaFp8undyl;Mh<~A~;pqp$
z&8Fj|jO&VhD?CNz5V&&G>LB<dFx7Pf_wU5C1(z()A(KOAFcy!!j-X6cR~P8egrZy<
zcx~ZlP)9^_>AR=Bg~~_kBT*ujdjf#J7Kd47ZcXhRt-bIKO+7EI6#jDRBz+~MF`L_X
zm$h=LbEG3+l4)eNOnolGdw+*dXKvkT^o=EIyE!(ok&CO}0w$-S%U0M)Ylpz}8@Ysf
zU%FBPS^7X9a~Y|<<_bv<cG6Il!k_pAB4xWq3Wwzx=D3{b$j3JiDqSudZ>r$+Z|ki@
z?};ebGqFO}%M1*BiAxR{h6+g7xV6c6%~S{4J3w8pwT=FAfJVSfNI{qrE`Sc5z{cig
z0b^YGoP=PRL3^({Act=)F>czr9+p-_F|5py`eyyrv|dRTvd-Q&Ul2R9?_ja_{h?v=
z+_Py5hZXhDyzQr|z)Q@|1TuaJ?=LRCvUuG2V_~JD%fpJ?{bJ@gCesz*n(d-``yM73
z0I=J5W@Izp;87F8`XDnv7IQ!!tA2iNdPRJuhKEg*53qsWwqKfOM)(u=6Q03EH+vXx
z72k(NXeo&7esZ&UPxS2Zc5!o4PAJ2J%tZIs!2|A33Hlz>)nTKL>@NDw&-L5A?5PP@
z!t@1arJe*C$^hAkpO{8pnA>hns0@$N1UE}4^4|l_shYOL{<e$U9F~Kda-MBgD8Me{
z@3pN>b_Vw!8tQ+kGl!LOX*dK`440MSKB`*JHnvSOtzh4`_Q2YuE$k*ICqWeA577$N
zN{y3DOW7K%-|IBN5aCRvO-SF!RRBmLwer&ugTCX4Y9(j4GM!q<KdUZKw?$B;W)4qg
zq;x4$nq^{n-CUnUAWt!W=9-VjwVuK=jqKx}2(xEV&RghJ#!SOW`UIMuSUrxZ+joBY
z5Kpo=c<vunw>YRzYv!KkN$Na{7EnXxytYgL`zx@GF!W|Xs;ypS<&)69R6M$84K(@M
zaqwDKl}y$d0fnuSiXlrMOUByt5$Uc#1*BlV#lqBP9Z_1bvi`lDL$DEjipV>5Lo+>@
zYqV$M&(+N(+iYh(!=fvvZf%od7@`qGnENptS<!S}C#RP<c*U+Se<+(DrVhQ`%hsHC
zC5fAOIOrJ-f(8vU{ow3bK$kur-LzGJCaU{%E}+*^SRQ01WPGPeHhB=Ch<sQ_m&e$X
zz%bsPy!2GxRlYzJG_Kj}%~i8fAx-SSrXTmd*tor}gQ?^57u%k~a4&I>lejVkfkWUb
zsK8d;z#`ln)yw6eodH4^WmcU{jkEmLoMpNwG34!sKTUw7u9(8wofIy)buGI`Y(=NJ
zUHzOzCm}6YIB($xQ=T-%lPlVzY4pD=tpiUucwQ{d@<kBCq6qaJ?aO`!Q#t!#s(s0e
zrj3`ne+Hk=)sgZvN$9`$@C-TiTp6lj$Fk{68Mix^%E1H8&33d|vGOd>dpj*{(8v{G
ziwo5WV>;*1L4AJycI|@NZKi7SMI5n(M-%to3B=l(=XgG<v|tV*5W#p}XbvXUh0oWR
zPb-y4jI;a-b2ZovN4zTD<mb#P99&tfsSu-*{LowQuu&9qeN?-NPxyS*?#+XHfW-^9
ziB=bC@14oo|1x7xV?+mWKnY6D9qgP%CYbKLY)>lv*p<>llJ4I0^t63Du>b%NA+-LY
zFM-eA2W8ItBO-!iCGFLY_4QiXo)l{^nM$HKHcs#)C-d)crB~`0&CI7KY(ebBB5iM^
z7<cKOAdmh7q(wy}*ggoXE&NqFVivn@&2HWH<+WI*0iIlM^nn~3s7EWB(q}_hL(fxv
zqZ%$;*ZitS*+5Z+53Z)@d&WJPnq)*Hz{JE+di$22UclB;Z}0V#vWpzTSOHhBh?jNN
zf}?$EDw9!2`0ZC_<i*>J2@&AmE34jk-h`|ixZ$j9<`{$!G+?Y*!zwTb>1k!buj~jv
z!&Tfw)wp!>&hYBJuBOjr^2gWaKLO*+oe}cT{8fHXL5UXB@C?pB1APO1GZDHSFMxjO
z&&1Bg5tEO|juzbtteBU54;=9vj2|oeLm3+<ZVK{3aoq6ro_Okn?@_8!vpO?tO#0n^
zG-nV)Iho)VBBJXl)#agm|N6p;Ou&ZUJ3l_P{rps@I<Rd2`PSN;tKwn&U>Pg282ez;
zI4zr_X1(LFTerOHE+_^{VfR!f2UQr@BQa@cX34yuuf8H#=h;?uia4m}1K8Mt^;dmN
zMOllhb&p}4y75A*t43lH+n7%lAuD?Wla{5f2uoytNMTs>_!4>0(12PeaWCRS?k#*y
z<$GCRj#5t!Ph?gP8))uGu$=$I*7A*xvgT6oYBwb6qTzj6pOd!x012e0TKDB{<;LgW
z@-*CR?^LF7juQevXy@*y5Vv}9X{-_FQN420PX-^T>1J(O0WM>3bs;VX+Lc|ND}_Ij
zh0b`Ofs~!0iJsgtKYomkj>T9={>GLHAipHE-5B+6u9pNNy3o!4?HgP5{?W`!>vZK}
z_QxY#C7FC-ECPjHrg0+<?mgZ%D&VVEI?I~_i75Ri|H_}F8R__&qsV$_9{`BKJ`oV5
zjj$se_9MZWkF|FCBm?%>c9xdK>0t+GN}oatQ77Y&zdtpSmya0#*;aW27i!R@*<izK
zE|cbJdu_LYZb&m>$unP#Y9K0KYF$>|*K$$m%q*DaN*;W1xMojnS&b1p=pYlROhs_j
z6Ge(1J^(DD#4$o7qWdk9u!}Q4j9W!@HR@LWRNK@T1d?LtMG&IdII!5xi{>u7*c^nO
z?0sMjR#i<A_%FMB@Rh_oFmM^us^wn5`aV)|)ouJq(c^mdh~9i`?^%#f6l%PnYne61
ze)LKC!7#!)#7ppQv1fOS?F~T{UP0x}KCNLbQ)^@y9*7|0eI)N@xE<uG`h2a1akH{g
z+TXsPFbLF#)Zzo|kNO2x4iVf7XqSg=O}%vU9&{7Q?nEl0rl}3-gaL00?gH2>vJ$QQ
zS&fUyFnH)6cDaQZ<D_CNU2^9f0Ps(O)IHQO@>u(QtWSpiFkCDqS~xe&5?3iII-*z!
z3u#=V$t@Xz7<|0q{aRlU*}a$OJ9zWcSr>Q4ZJ+}FH|WFX;t8%NJl}c+Um!Fd-p97;
z#5X~+E9OZ*O&puYonH#T%Zl#<UaC)DjYkg|mGt^=YO%t3Nm6JpA`5Nxl18sU>JodH
zp4IL7_@a-%N4a?VEj(hPwwm|MzN*2}-nb|?>nLjP!R{xX>Y9bCKjhzC3Eth5sVB>%
zavULb-AzjZ7Vfu;>YH8;tfZd4z*@i^S`S}(vy*P}Wc5~@{l($Iwi9EytJmt%z@RCr
z`M8A`kO?fwR5dAQ0zS#NDR2`Lwj^@ack}gJB=?xI;OUnshiR&{Vul5MIAx2|CU2&5
zq*ftP78Lpn_UTX`1QyP%(331#aP2(|F69O`C|^yfldl66e(#Bn<{^u1x{vFmt2MwZ
zTOyx8ah(~_klfde%1g{gH7o(Ru^Uf<=*{1C5_g*e*wFu)zKj*xG0IG_1K5hvGIw+b
zP&xMjzZYsEb5a_%n!eoZfat0llmEyHUBS@9CY?SL;u7+Lr-%`;k<y#P3N$3{w8oM3
zeakEb?Vh4F-GOKLu<H`e0GueUgJXCG64|;2JQp&FTU)tlyP=O;@IyBF&E(i|Wu29y
zM^N5xcT`cX$$RORjhYeRRmDjDgW5iyt9~5{<D}E6Q2pboYL~MLuO?UA=h`YQzC%Lp
zIX+?lljhfk!bLMbX{KcRnMUf$*57xO<Op}H^@x`5O)Xu{9((bm7|x&iO$>V0M#gI?
z)G`*FDGp~wH)|Wcp}XYP*&1Fz3#OVm)25-PEYrlgP_9Y?S7l<ENGY!w#p}AruWaF6
z4x)fqg8u7AjW*wP=*j68y=j@gA30IfZsp~Nh3<^$7>o5WJPjJ^ubXDpgp!kB=|DWw
zXLn^xB0ACnUs45DZ^vu;yF54v#)3qO8tnIoJQ79C@s~1>hPSPk>PRAh=ACyL5zkca
zjx7j*aT?OdS?~##D19L^J$`G!v@1pI)pf^p8aVtTmuiX_aDJ?-qbU1YQy2k-^SfH-
z5+IUBw88k$=djQUn~uOKI+(bk`er}{Qz5GCA%|kFYQod9H}c;J|C&!{m2gE3$MYhJ
z?J2*%WJ|M94EkJWB&F`DpRKtua+q9V9ru|2sb++&j2a?Uo2iQmotS$ZPpbEopY<<O
z9~fk$Zjfhd<gN%2234-K^YEpk?{5!l$&|PMjSQ#sN&Z<-W=n*C0-wxT_32B^IBPoF
zLWC8ftK8J#oxB7?rK~LAv(B(u4B1ab^e2z7dm3%mi!*eK!`w8#$W#+U$=$A%ktOC1
zZ-y~Q$l%((cMMAc`dLrK=X>&S!{k_|G`o=%gvyA~d*ga=j#{u@?}oD)IQd?_jlMvS
z;IEU)t<JucRq4N@pMUp`IVYj4L#91&rXvb;9fPX{bXB5{pZgG7w6BYO7~(zXF;6P#
zEx1_mY_@o<`TC8?Jj3j>sYh06<s7tt;b2cM-EoM{YEO{#GFO<&smyG8neH2|wGQ5;
z7C^K!R3)dIKc*y=i4jdJ$G;mDn{rhJn&-%I%N!*@OmpTsWlPR9U9VJxE9o*d6a9D>
z83*5co)@T)E6vF&deY@aKf~3s8uR<?y4epbFq5=1Y}3G1Y$%>{KNiWd`9hE1-=;Cb
z!Fz1Q%3ixi1-NU&Q-Z#ydDzF*m}40);9?Y#lY&z~e1F_QHa8;pgXSsUWEK(=&S@L3
zs~hn#+meQd?E<7&#iBM<jDCj6$~|@{=hgD_WoupM>&4Q3Gu0wFtJ%7LY!wIf<?jvL
zOpOoPKD1?8ji2Chcy8}PXLDpDx9J0`VBB5v6$3(HN1lLk@0VRDGAUb``u-n>v+wlv
z&}Fs;TwJ>wf+2`m9El&sX#_Une@R?kfnmhd!QI>&B9gYYoOcd3xB!ERf8hf2-xCuP
z8!(=5n}AnDD*8J24$NN?S}MP2D8*Lf-$*RqmwX{~?IXo`uZZ-DJe&^ub{Jrl;y9%x
z^W&#fR7O*ium8A&j?RSt5x(SG-TK0ZgxT^?Eo^Jl{kyAJ_fq6uV<b~3UBC!4ZP*w)
z9nD==Y<f50rOKV@-5bT*a+Yp)E;a_evR2;Hh#=P7M2#ZQplxjJ&3>=4Ouc{}Gb)?C
zU9Tv*gi)-xQmJ2A_50T;cdbF9m#=}GR2L=TWr-B=x-&T+E3lI=7~l1S8<n*r`I0<2
zdyISK^vcD+7EMLzJeBHxe6Pc0>cbzVq{J}^ai|jX^`ZA%tuH>o7pNC3q6Hj6&WPnX
zrMM3ghVviGZ<`tYT>u0A?r+=bMU6(I)$^OlSsRf;WZwMNKTX-Z8I@lrh^gXckEZes
zUVTV%8X=S$CIL9qJs-~co_8?C>(w}0Q38FVLcQ>{;%jbRtJ60BVmc+6{i28L(%6I-
zFG5z^hG&{S_bkdT4_Iuf$V(YLEA%jWEVxfUEm2~|D4)qcuVK;(#ppt3L@7VPDeuYu
zMgGKdW{USi@BN*@2AdzOJ*zewT%dlfqA4sle<Llhbu^I~whI}K{ZaZ+Y*JF)iJeaj
zF+CSct6K7J7Be??>G`NbZWqEj)(8OIXEv-Cka!BlQl>kFHLVXrmuk!j{`5YcdhS!~
z!T{|{+GUV|LPTandf;>FHyqlArPpXH!_=_>9^TfN@ZzMMkK?{ar8eGx&Aj$Qd+0H#
zGqoU}=Wqjza@alZ`Iqiy96?Zpu^jIL3j@%SBj;vW^V12;nO0W-P;KRJp4VV3a@^RA
z<iFUQ`q(vRZOeDH@`%AEuH;NSe4=|$)eog~;m;ae%~zciIJUB4Tivy&CUb3)1k7n8
z_MELG?w9k@<={vN&py3p^I*&UsHMzS#*YIAVZO4UpL)+;Fc}Z~p|+M$aI$E|&Z6_C
ztT36Qp8I&)waPiAtCez;tSUTOF1nCU@xxb<B;gtHgblz`x5(5r>OkC<ijpF=$4vSb
z9}>17id>#Uvd-%U-xt>x%5(0a`u3!o@a{ETPYhW}GVWqyMa0j&oCUGfr5b++<*>yE
zJkzjJcs}vS&t3xTU5f$WAxVK}ItkwT$&jjG)_N@;DDeF5Q<9VTMz#gg-6v*_lACwA
z<-WAhAim^_Ck574l3H3ri^TYMpL*>2EmWY95KDQFR|JN5y$N{xW?7O>(p-$f5RBGc
zJ_KvwXD<Z%p!)O+*SUZ1i0mm?r+r^|k6<1BSYgSUI)twC&YrN8f}O_pag8@EFJr58
zx#)4;*QbTm@XEAMgaJSTEa4@`ud(_4CD#ysIi6I)0$a7D5{Wh4^;W!!M3tXp$`Is3
zI;TM6Yn4<VL?CUt55Gtj*=<Esv6n{K@aOgYdxmudLixtPDJK$u?jgF51cFqanNOBs
zD}2r@K3b)eFcg7I@sLDI8Gz%IMBe9N)ikUlRP%~SmT}wZ80J`@F&Q+DLy7i6s*TEN
zg!G(*e;Tgf)c`?`7j=D$v9{lD)i~&!NlNeSgSq4c58$4r5EMGvtb#Pdr;k>jS(7HM
zB+jflZ~Htvq!Bi>NO)gt5cxwf*@ON_P$>45LhVI!U>Rm+LSn{}Gv;M+WWBfy@H~Cf
z;W$8(tA{QN+?!@X^9FXQsJ&&2Isy2nK`6hGG-CMh*Q>6ES2wBCKO`3GyTyn9CYam%
zj6Q9M)Op-Vw3>UWIvU4A6e*xY_udOp8%tqw`Ij7~PN)lK0#9eUOo7^oHs;ZTVq!Dn
z77-aij^BtDhxok@oJr9uy6d*RI;X_in}S9m4MzZf*PrAy1qmm~IBRSU2!)dcg8i{0
z2VT)rXm#?HiE%ah;8bhtq)cb-6d@vgscQn;;G1?BxHs?077U%62ZT(#SCa<<Vc}*&
zsD$FPDDI+2(-tK^f1R(@4BH-p7PCs%aCvdRm(dmlOF8FY3r!UN^als9HCDwU2;8Z<
zUJbL3(?Ae(HSXY7E4JbP?O5)th(Mx;L9-D)D1(5S(XwQMzmZB%g*4q#5wA_$TbpJ-
z0{@VTrU(!5nuv=q)FEW#gC}M}_kg_%lf00JAXZFxkL|t6SjK1<_^Urk6E(g44>)1p
z<B>6JAS+j3zYB}@u>bBFum48=`z>c-zlgIeMe$$kSb1cc68^abDBR$hcTfa9@t2#G
zeY_S0vDu@AU5O)r-cUxdmxIGmn^<T;gII@+KO?9l>gFo1%GFSG%YF{db@FNB;M00J
zI$Zg#r;I9Qy}yVzYfaAJdE4IC3q|F@*kRioM;r1i<>lcg{;UM5F&&9HI40f_cCr<6
zd)&||fP{u#qz~jHZ07Tv?f4qWr_IoQR?ekjl8vWM1k%>wpwHv;(L+zExuWg^B%|pX
zr^Gk~#OO_W2M|7<&4;|FRTFCUSgtALOTLn{tqevSpHpA>ch-a<*0|9Yv9&@8U)j`E
zSmkG9>T*1b)G6kjz9~~rJEGc3<gx4(?8v|Q9$!Bki{z=AEzzVi=K6J?jT|>$DT2qH
zD~GJIHwAujTE>xz7z9XU8_-!}_<e}V<JN0Y%vUh$yzd?~1XSHmqu^eWr9wbxSvlUq
zLPl|hW*lq((O67Sw8Fm{@KI_E*XY$h);{B^e!9#<KYAY{PsyY6((5@&i4#;LsalBa
z<5P!*2o?8;CVrn4XWiG*jxPFJHgcojR8D!zhk^)1V-1LVMctNzyLtk_>j(v3-9N|n
zynD#Vm%EOHtOsp0^+cny#sn6mYDeQixNlGKZDY*DC=SsKTt^REN-T1-PG)=iU$hLj
zBZU$7*P;wk;FneZ*k-b9jUi8Ts|qY%*v0T5JxPvSOX6C7mlE{5#~}78QK6Q=2cPxC
zO~Cv{++s)Vg%*AgYXFuZ|Ap*}kBrHqSh?*-;sOGo)ZT1y4|iXI1rVKth3aOmMA;a~
z?gZD*Uv;cTZiS&H9A-T?ZfZN#1D`xq-*%daVU5&CYr=TA&5Fx;(~-FjI6mA<@sw{7
z1^p56uJ=RCHh5?JBuc2$5U*5;5)SqgA%?E*)N!^d?l?6?a<kYIIwTCHgSCD{EiVck
zvSZ7~*lW2|SNZlttHz^H9XWX&Y?CSX29_s!LF-%E73zEW>2Uwqe;a*cAMozqm-tVD
zrh`=hZ<D`w_~3n-`Si1lH(Da<{=27d*IshGFW%1X`>xI3@v#acHTzTmt}~)g;mj!Y
z)UlbVo;5>hJ9((_tx0cXZ{Q6=2fHs5dAeH4TnD<b?&zMMd6C13x=Ws!bK=65YuUeU
z^g0n`G%c~Wnpc$uG}%A<Tck0(74en|L7#h#q;;3tBRoV!#2R@AOg76SSP;`xazH;d
z_wu2lUN!yATYkN%`3rATO3%QYi4m(Q`mf$~hW@J%uwtS>c$vdQG-LRhB0x=jNE#g=
zm(BON0>hZ~wXZKPBMeB<*gySq@$*w)=$c(fUlb#_DmKF0GnsW_z$V|@Su6@qO}c+&
zSHD&sW0|ZXx5CUhMUF1F!SCs`>2brB3A$<N-gcqv#>z%IK1N@b8_aEq@JlJmFwC4(
zLc`;`=2WK^$Z7OR*I!^S1O>Mcz0T4IGIk~pal9+oqelUQ6vn!&-dtKXZ_QUO^_G>;
zfUv8KpCf$Zbtp;-wlho6u!ToW)YQx&(1TNW+@4iL#PWM}d2ac&p-ahJmpAmqRHtrL
zawWvGLK#x)%X~Nq;LB``a+&+!p!LK^CzR59|CTQzhI48?W4LMmjpB{O3J$iEWfrgK
z=)_VG8S^s%iZ2CK=~4q>w>1q_mzl0ecx&&#Ze`V`2ks<&{I~U1RitcLcyLmG>3w0Z
z&V$`?&*X{)qAc})a_+1xWtjpw$8@hXIYZah!ddx%3FKqL5NP<!@ChTxTy^BOSFai7
zSmg?}n<-fvF^HtRqR?1-MZ0jC)pVcm#)7&zSHFu3j^pF2dB2bCBlSpWTscqN0t)Gh
z<7KRk=Yk=ASB%J;?%)p;oWfVQo_lb9sN?m56MHql?$$T_?<!2Zbr1d@gyaA}-}T*X
z;pK*Mg&C~k8$J$t@^3*060m^!a_fDNf#pK6)T*=S?JXOYwDb=Dycrbr>%TMp&v`q$
z81Oho+@a<FGQr1QtTZsf406zMN0+Wji*7J{_fL{GmAGQodphm)>{o(s@!{{&FL*xF
zm?y~irXh8<!m9V#p!TTr&3@Ab4>Q<lUR<y;M&L?s{kb*LO}FJZq~O=4I=8_vwlF)n
z_WEnR3s%;e<E*~Pl5Q!!h8>3!wrM6*qju#_wt7|C2;A#(7OMQ#Tjc<Lbo$#)0h~6F
ztd>%$lq|Z*ddigRk8K-W5R#me&Ec)~F;svtn)%fud7u0J9tNh9uxXgWbXV4vcf$Xy
zjIJkGTn9^{Wvx$+9Wa(y6|S4RoLAY;?gs*_lV2*>Be#H66me!|dAL1F&j~41zB!%*
z7;tsI@zXHBNS;*fSu>ran(PWx@s&6ohQ%|5)>OQ_x4LF6Af}s_c#0o4=fDfK<jv}W
zagC!C{<iilE#mi>$-?I~M@1vmwLFdSW{&ycy}7G%{3FQqy-}3W*+(Db!zw+Hzg4w)
z`=tR%XP>L&A-lz&3XD%S)v)rG*&vTrB>l9NXIHfJVf@n|@4p}K{q!y(Ss<;w)*0p?
z#6Nvdj-2gfinbl|&^0)GN(KLC;_;&=#`b&&N6>k}JW{|5N^oo*6FE~})kAz@oTvce
zTzCf?&T@2!Sj$KG1oaJs_ptWZA=NeKV|-2x$_6UaEO&|{h!!bxTxsLfoeIi4u0_>#
zx7vM~9pxKUZu%B^eF0%+@WVLv%Ff=4$C?4X-uL@Z2@bRlBxL!FX|L^?q)?#rZqc*0
z{>y9kVmPg=j;gGzC6Bk(OqlBql^s^A)By^(gPz+x#r+qtf~rpeAH6RP%+qRV?8=&_
zPfPiz>B=c)2SPhajO&@RiX~@|1E3+nGmY_Ho583Ib?4O^V7f{EP?1>v8B=7E&#nJv
zf7%mppR$|o-o0zg_oN(~r8hFZcObr_v@{q0{TNfAz<)<L7Qv^^Pp?RcgO+FSw(;@*
z?)PPPFq--N2Dl^ccKv@FzC()2v%on=1xn#;YW{k<^+^!&gh<ybRskjy!FmIhkG>Ww
zTw~iTV2v@=RrsW)Xz}$mjf@Bv>K}aUkM<Nk6lD{($!lGrsmU7Mruw~NEgQFJcLsWE
z53X{+R)V~SubJW$152;r^dJSqbZ!_Gj0;Q8Q=#+z2H_WPr?=^4&Q(2&dsE&kc3j4<
zYj&Lmmw&I>#tG?(v>>Q7Oy{vyI7t9YHa1o<{#<%$123Yr4oAj*ku_}OUQmIqXOl6u
zrcqk0N)Jl%R(Y~r{EPMiOv*6bKB}2bMv9)XwR?J3GKt;XK>8mUc=wqKUX0?Fe$hZS
zJuK@>Vob=(=-EKBj?WZLpOm`vo}5lO0=X*9V#yWs;KHAo>6kCfLRl-{nWyC9Wa((8
za!x9o23D}<9LwDfJayBL*qU4mx}?{zfWGYwIrh*z$997M$hD9Ma_y}TJG+ImieOu6
ze4sxz>{?n~os5~;j)k-v<o7bob1yz0{=4D^W7#gO`<jqu)34q*%IJ*>CV7<Cn>ZG}
zUTa;9<%MW*mk|XFSE?GEzZ|VUTP@3LRo?*rlo!6M!?C?PMdCx(Q^rx>5k^mxAO`zT
zuFxiA9<?l_(jD8z&c?Di*i>N)kf{|+>>9oVj^mg~zk4*nmM(K>&efm&B|C1AbG&O%
zQ02Kd(d>8V+j7p<keP2Bq}cYhcqRqiP6&<Lib0tA0&D#!6=&CYdDw+0QRVi{#9*AX
zrSOkHHs)niQeV8aOa?8P;*<chbKgvAk8vo>jF0PpFy6r~EIUWGPcS>KH_ldZ!;%N~
z3RfvXv}?i_8Ajh$G;e96MLe{CEjU(@lnGqQ1MOhFDb(Xt(p53zIsMxa=zAQ&NVX$`
z)EC2RBtk{i3zRk21{!*46Q%;;6)#1fzuf%aG$6=dRYf1yYcdqT`X5b*1umU0^7WI{
zX!?!w^&f|j{dc$hSmvQm*!hdp@b0=AM896kxxFY%Lc;YwjeTWYRNdG1049PcDj}r^
zNVjx|D2Q}PgGhHb42TFKNJ%3lQi34epwvirrwk24&QQa^vyb=vf8zc0`g1-w!Z~N}
zv-eupy7pSvn(>D!AN+2FVz1CIC_l(7|N1qBx0FpDe<5c6gBj`*q2h6+EPg&=OjNNY
zPeX(Hhe_ulcAGwJ9h!|>y7p=`qkA!vo;3qS{CP{(?75k(Ju*4&uskBmHKosA+1*9s
zt5@`BVe4uqOA%#Xr%I`|w)?+;#OjJr>#P~LajJozysm>ojq<iud<MZ|KDi#@DQqD~
z%%qVY6fX0Q>+7yYJ?J<cEsqz^j`d>MChspTL=AiVob;d?(v{Ja+VhC7?%PS}D)&0^
zjE(8GPi`8q6r3qOJeI%OMIhD9K8)Q=N9KU@d>zfOq@i}>$uGOwHTifKZJv{9=_IGP
zZ#K%Qt!YFPzg>)EweLI|MqjP55>!IzZ%{GG4GL$~edAu5XZ>=RE>GIn?YS?q>$dJB
z#89UtweNW;`T2+OwgbWqf?%V_gtBIr<pbLimL3;%-J<xSfw3w{^Uf;`_c|=s8ebbl
zoGCRJO*3E&OkY@JO<|lmZ?Ag&y1wrnDa+21d+&;{h6r(6C3R_ykZP^cciZ*P$H|P%
zm75d43l%q<2o(y5<l{be&%Ts#k9TwtaCm_99gi&)F}~}Qyd^)16P9;&^MBWP$fmdT
zf^vdb$E`nR6noOA;Lz0tss+Xr4_(>Vgp1_|oYcw{l}5dnRp<^}x>i&8vW9qEQS4i;
zL^Gvo4GM++Q?##isi^fT({u3y7Km`F`$;V;iP6GyB5CzTL~JQ;O2X{lm1DBIOH1GB
zp`GnR==^=L()w;YB|^2%Jcib~DJclGO|ozA`53=sPn+TGi-f8%ImdhXyxi>FwPoy>
zL|H$3CxP>2KUl-n_LTaPsnz!;bw7|A(nTaq?YH&Iah<an$DWvDnPE>^kYa~C665CO
z$fG#E_Ogo=xg-tep8gZ09<w>SQn;;8JNSOQgOM^a=VSoPFdgsD&0dE2o|vfpyS6j4
zB*>&anBEe+$b}M3GD-FVIj=OoH^o(&e;uTxt~_6a`~VaKn1o}#_vBrVgKCcsc<G(!
zq@JEqmgiKIXVt27ReT^Yk6*2=j^|Kj9#*5*i%H8+n8Y}7Or*V>eqFxt+{#Pw*>m|+
zJ@uT}rFqiSiPM<~xf(0cDWCQsHO}5uL)v~`R?%z6IrbcKY&#pM3dSd&^JDnLCSxAN
z*K3_%8hx`(at7>;qi1sz0hzf{m;h7xGlpZ7!=FtYKz!kRY0b{ZnGxB8j*3sU`0ilx
zk+OjX<Z&tJCr!N0>c=J_Zn<}tjGChfEL?QA$L`AW_Ng7*D?ha<O`l3a<iA^##fxEY
z6IbumN*O>n+JoT?#@AZwnd;fs<~@}^TF|_2Yi-{$>}2*{OPD!(6M4qL;8FH9C0HY7
zDfx5$c#MSzCPz&2&_g~scOA|1G*n{CuqJL-EE6#w7vuK_hcWl(LnAI%sT)xlW+!RB
zjMnHY7~u6Xlj9X{YJ7=r=WWDf<LZA_&8W&B|1jUYbyIX)DF!Z?Du`OHNhln|hC9ec
zeCK7<5w-9kX;nD>(kEejLF)IP;0KN~ug>{&oNdk2Ey5L0?!nG6nq@?_%9V#IX*}c3
zi&63U-W+zrbQ}&AYv!S%7HgHIMOe1A+20!#C+h4rxe7aem2Viw$~ny@VAJ$|{!5l^
z@rP8nXx~|4^)I~g@!z#eQFQlASCCzZnfR}{zwv)fAcvMEoYyF=G%hheVjQ&&DBP+M
zkmHjul@EBqgj%kp5uYNi3rKB9=i3EardC1zamFWJKS4Aa7fE8{^wa4P#diAJJ1C%1
zT^3e>vUk=-Tw<4=`^=59rcS6eRcA*p%}MkQZ&mST@iA&V`W^38R$eEbB3b53-eW>3
zB0r{+Ljp5kX(-}M+~^T(WXW8fcC{;QwnXswhZ@nPJeom<yVv*C%C$?}2YpaJyEWcd
z+{Qmkyq`<={U7VEZK$IcmN6HCYuEZ)YXec65511QlfYo<Y4whtm+7yN{j&j<B8wX?
z!;Ypi_d~oGpg`bWIHLf61$|u4{ErW7kn7-%B6kG|nCt}`Dbby#POa=9jDYq@bAPGu
zY@po0-Y+V`X2YjY9MJBG$D~!cbT&8q9mnFX6I2>?;J~j|7uAQRx@ds12|cPn<gwYE
z$W>G8`GE8|wU-m`s-`L|+|@L&QsV#zKDv(z^D0(P__6-ml0=!_#(O-6+!EBjY=JC8
zuYR=89V|GhRI3S58J%|L#QiAMONdLkVb3?&Lt@vX*c6qPl2R$Yr(gLdcO}U6_|ZWO
z!OxpFQNm|FhlL<%jh`Uk-5<r8wdKMCxo0#(x5_2HH;C}%#U?9G4<S69ANvGWnk$}D
zB)D$upiA;qy?xIW$nJJ2FhriZ-`$uFSaVn@_V<NPDE)SxBsaS_*)_Zwiw_eJtTMJX
zW1(ifobv(gROM$LEZL)sh^mi#pTcN1{$M3`kf;1K;QDdzpH&WYg$|>2UeI+Pf)TWw
z44<G}qa>&QC+<Eo&bsBV82AqTGG;9&KV0s99BW}#j3A{;N<IEeL|3Pmao3y@+#_Vn
zq+-9VLtgeF9w=<lQHq?A#gI2-9M1^#$IbC^UBQa|g3Vt#Ni{p_{XY0A*7?E*@kw{l
z=ABeg^E!nrc<+%7+T~m1Vd{y;v0+!EV;#R<8tJPD)H9_+|Kin8@<HMQi(>*gC<&r;
zc>V<4F`AgGp@PQHCdFPh`&T{ZNu4HH&s8*C&eW8(XN{H7B=&vR&tC_*d}wyZ4;Yt7
z+-ks*Nv>MXXPXS=BvJUNYMrfKitvSlL6^Cgvy>8z?Ip}SE;UC}=o*UEe!o)_EK~Pq
z@#{$3tsg~Y6FcG#tD^_CNvbq1X0a0<lS5b=>b62fD?a#Z-`isrg`Rv;b>S`?PDFMs
zNKWF!F$Eo3I#Gl<)q-X_@BTG6c!pv*9c$pS@Xr!wpO*-8yfLwJd3`_I((>8lj3h(=
z(%VpLu+wEY4&`rj;WK;b0*DBt#>?t!?fC-Xk~s>upyWZYqNNeiDKB9#2|-kbF>UBQ
z%YQ=U9_ix4qkiS%?k~`ne?3H~hhEivq?waz#Zmve=(iBhdEe+#s>bNO`7R^(U&@R$
zOyreIId&6AoiZGcQZxsGe1F7R+9bqFaWNP0O+L#bYRReQ%zTyb#O8%n(&%s==i2BK
zf576}z1JM%)#W7r(W(4{Aw>Ss_|n6pbNvrr7)@UM7RbSPA4Xc%_%z21)lYr*>&L#s
zz$el`vG!Eyksv8Z@MnMM!ExNvULH@TslrlD))y-a3SRPf3K(DB!hz#ON+|=TuOB;Y
zZdaRkki@S$DB6&WmOs9xSVh%!A*1gOCnEkG3&~;@*&&)IjAg%4J$+zh>i!*YHb&C3
zD(rC{D)O~Vhy7%ny_FW!)2Wo}%JbfdTgQV%g-_=XVSh0@-TLw3LR`Z7d4I+Hvz}5>
z`)eIXm!kr`pXqvMv!Z!i+1F}^<PJX4`x$-<@S=TVx~BBv&{&vp{vF!=IKNxB_Q|1L
zjoG}Zl@9@fP5BE77CJkwp1o}L4zW0EmyY--)<=hC)o<Fhz7&tRzVR~pE%V*){*^$c
zl#90~{KwVG$_CwHR7IaH^C7C6V)!R)s@N6TQA{>b98OwtGqMtL<;b!kuXw#r!}ZFP
ze8J24v5)#Xnz)Fx@q5*rd>Xt=SN*<@GwOb`jpanzMQS_ya;~)_X`e^*@p{R(_bv@p
zOV)KKtExp-w%A*I=5iJLxZeZc+C9?VqOIsm50=JNs)wFtcM<W9I(@NF&y(J6s*Jc-
z>FV}MMwL;GM#?s916iJDD{o&bZW0m6a<H-g*$j1mY}!4(G~pOiV%L|5@KaMkyrTLf
zBC&`Wcl1pw-^{nYvqX`M-1v~e5_ZTeu{eluS7;Q;krx8xLNoEmDz#I(>@zYlJAp|z
zmF~%?L8qbyuA11rQBy1X+BTNQye4the@}~nLHD#4o#OHGo%kP0XspWN+4zdA8-J69
z{*42se_X*zoL$A0OSrw5f6RN--cBvaywLUDG{3*>4-D{}PY1>|-|J-S1~(^7O{wQ-
zv_>`8c^g{&j%`w49@ty-l#y>?dfHPMI#pK@ZtD9c&BEf{TrzWy;#iQ|+&c+%XS7sq
zZ*niFNuTWbv6#)1-Sk?<H%H^08RxWz=I>!F*$KMQQ!<CIgNqrUsW8>{eWgyqB$XT@
zZ(neV)sw_3EbpCb(HX1FWRyOtwpDX~NaRPV=`0(mi29l8z$2MDdM)`xQieOq+Rixw
zcj>yeke%gt-PhI&ze>njY)+>QtVoaZ9QqTR5%}Gg;1d*oXlXxGpD_zMDTvvqjmXrs
zJOF7%+pbnrZ}h&7VG$e-NcnxTh2bHxc?*&=;%5w*u1txzOhY;n>CxV!!X_6P{rG7&
zqNw|6B@7<dixaRmwvQ&gkZh}x<%(A7PvSYpR_<6xSDCGHcFgJEcc3=q`}aRhf7f(y
z$Z742dQtF#d;>QhsYjWhL#WIv+dF(6*5N!O*|jxOSfiMP_q8VQM=?~JMIG<5VG*SF
zG${wQ@qSB{opS3_c8X~`ZI8<Y*##JT?uw7{8^#Hy4pI3!9dEnm`yBP|9}EhyCDBr;
zd`Te+KE(3rUjCTq=CarsM!h(WlI4}FU8U;rts?f~%HEkM6`CBk0JBq0xfYb4si|V$
z!?4R4d4X5c>54#t3u^vs(|wvw9!G2=-T#d@YVF)>>fw}x#da=oO*d)lBP+YF64)(O
zC5j~Z>W6<ec92UE96L$}jtfCaM@=4Rp}W^y*>#_jI*ZDSAawLc-k0SPJighMUD2@z
zPr&Pb0aCwotbBi$Q<ui3B6r$jlg!ePZKJN|YB;Mu=E!r56$fU;Y3ij?e1$U68pXrK
zWRvlx$B6geO&=Lh37S;r-?T&6z1Wbjosf`6fy4b!$%v<pXf6L}Bj`MKw|=CaILVew
zwl`hG)8y}wY>+_)D0hM1QR9%Ip!|Ie*!`?PJ4KpAT>}YE>3@G>{(G&+?MrW&_g0D@
zabEGc_BT@2*g5&ubLEn6qP8aQf3B6fxcjK!kI;3c6lRcY_eWN2RkS0;p)s`SbcqWz
zdl&rSjj`qz5cranMbOsPmMH4MsU(Wx*Y{q_X6Bm186B|_nq0wFH~_3=Wca?}j}$9n
zG@4huJ<b^AZ}q}*?y65O-o5xy+V33~?P}KC405JJuv~j9hhKv_1k-ZVh(p5-8(EA`
z-j9>_G2S1yxDI<0Fl%^#_e_82@#r)7-ri%PW9{_*>{V9$$@4oECpPp(?vLVV_g6)=
zrpr2=qn$idT}|w31?<uuO6?8qG@jlQ9<US?)lN?_cks;RZ91}--!Qel)?6FZmNGL0
z7`tdAib2NZ(XT*!Af1C-99ztUxyFk{_`OW3s2)s1I;Tr0A)by>qLRhM4<Zv9i^tT>
zJ15SM&O(l+OD->{r)vjDo`s%RJ`&e?zj%Do)A;MFm#t=WqrhhduLN5XpR`hmZ>^oD
zwPtl&fnEK#6KA=qG<~WDZ@q9C(x)ee1*UY=^`<>32#VJF9x0meQhibKk=O#PS#MQ8
zVs-yMl|Zr8LE~jT%vo7it{J_CIftT|uC=0r&Fjyz<c$|FGv?li(min*itNpg)xTI+
z1Ci@CQN{LIv0D9m#_AKw2bMkt%VlcO>C+r+s49n_tZmQEEDt;n3%kNq(L{UnQ)!^|
zBYJMisSwLIvr>P(;1Z(;;>>lD%WxWft?tfAHASO+SKs!_m;}$V-lc`CQtN;k)I_Dg
zOi{2{HGIFZpi(_wWfBpA;#gUsTH-57H&%*mICHh#9CTmA2%e%?rt*{>>7b)rcjucg
zJI@DKsLdQCRtSH{H>gf%JUeqoSYTwaT;rKj?{s}Cw~zgc-ij#xNp!*@JyHxOcw8IK
zh2kr4{hz5=<h3#{?+cX_r*s8@TFSb}!GMU%l`6E%84gzE)1HN=s+(iWYIgb&;}OUj
zes07ERkjt4<kNksTPLY+x~K@28yAo2SuK|ho)6ZJW4BoNWbqPmfc8@Y>oey7F|w?S
zUQ%;%Q2p^K5P|B$Nm5^bKpL6>G*G#kPI(RC$7ZLC4<&zrPAeAFUW?H!LTXYJDfJaj
zRJ=MQvVBP(B(ER70$kH2DJU&T+*FK&qeN)=b|jRQv}ycwq45(`ASDS}5&}trQ-bf`
zzprj>$;irH77-QQEil3XA!toYYwPADi?q;#gM(k9w=WncOpK1cS<{4$p^X<IU4n4V
z*}2hxn8&xJwBSv*gUN*nJYx3yB%9`%$jQhSPWSs{6%~o00xW)h{`qKG+FuEc=xhT+
z+20AjYF`?-v&>t|b$)%l|7RwCcrU7BpmN%^jPdf}?GDqt3sb=Y`;57X%XSfQ%Q-gm
zIcSFUZKK)NJyO_?I>$p!I@PDy!{)JqlwGb-`tQ14C=jM(=fCvOF{^M_QLP_2k_-#d
zdC|H=1IrlC)e}&c3*juNr|9zc^uC5}B&u2Fy_LtGGLhi5_Rgw?UW@Kp{2jc<E-xef
zBsykn_?CA+Qx7lkdK&CEFH1}&ejD8QVz)5pMAF7Y*##0eWc?LN8JunSPR=z=y)3(v
zr&_a-FB!_yynHit2p!$>2#Xyi1N%6WBTES$f}F3F<SR!USB*SquNun8|B7YQ)S@a6
zpZmkh>+VItx*fxDzve`bj-to+ldF!Tv_v|0Uu3sXLxbUa(*(*g2AxWUt~u&>F0zyu
zF3!GX(;AY7$WtEqS-RmB*;<Xml?|{NAGTEVqy5_G_ztt1QqGj6-zy6+`r5zf>kfWi
zX&slciztkd0SXS|pz3OUGsyY*f>QRk>ZiKtgRdC;mIpP084=b9vjSV;()%1tq26>g
zBHz1g2KwCNQxBt)UA#&t#3#O!+82Hn__{Mnp-tbz>s2*gepXVL$~YQfmZfG|w)bgz
zhSRBiX~lPGGNLtmWYgkSLcThO9qzyk+3(I=P@dAl*!i1&1o7eL3LcGKT(`gEa%1X`
zSy{sr$|h$@wKh_Zf^OaTUXsdd<0kXSwd?)8nJA3My4%GmjN9IHijC7Ie8|al?Y^fa
zlF)PMgu+>vC*nIEACqZay1}3=bw^Fj=1z46<@Q&(Cw&J!xNF_+wguBN2Q4}Sm$GOg
zw*%fsct|L$YPZEt$mSR7Pj)%f*!8U1mCJMT>92D<-L0@Aw^Z8L&wCB?v8L<^`=rs-
zN+;VadBV80ckSec6VR;!$`G~_ypQEUqEUim1MWUG;#Yny4OH`VLF(u^lnVYJ3^A*H
zHT$+w62Au^bT^S8YwyNxRTB;*KDaD*8&ikg3pX&Fs=lbx*Rs&&{1KG**Fs6MGGw6|
zmuS{5TxU<`2F`B$?fX{TgD3?iRV}R$Sz50PKuYTn4+f;in{z>N|I9j9Dkif~MZS)d
zlB0NL&^U)TO?5IR1)i;BQCGyu&zDfiSRQU66Ka_A?We6^gNl4IAHzE<g~S;0cu-Q?
zAa3{K6XA10x-QGB5$UE_b_8C)m5vN`1~229YcOj4S{A{cQnD1@ruZgXMR1~F*Fj`4
z@flFeD5bvG5<BHJiPG4QF?_m8#L1;NP?qLDHR$ans%QSL={&sb^Dk1^T|V8$isVw~
zc5xR;$4Z6%Zy%`3nyjQ!?^pH=Asji)$|7~Z(c7xY)KgyT-pScAU6IJ=qlPAC<ciT6
z4)%GRf;bt^<bkajCvlv^#`@3LwYb&fX}+R8j+~3lzioSUhUB)^j@Wg?&O;buUoxrO
z8C=PBU^5#_HI?Wt8_BMnF`rS=jK7OIbvsE$mp!}pYBt%A<HXanpu78L_$T_Bdvb#~
z8t;@%_AMp-^d=?Y4imokpcqqBKB=D=LF%$ZXRsWnyz}WQ*?z5jc$VA1H{P53lfSR4
z^gOvCLnTck$lUk#iv^EX9=B<y)qZ2wSXuP_x}lhh>X#hU18rxwqwi7jpU>!Wb+zb>
z_L6!DT6YHOm~Y2N5zX|9DIMB`Y~c(;tVa00ZlX_1>|nvBDQ19RvyA^(c9F%Tb3|CW
zQTl)-q^v=2V)rA_D#7o`kKrp<y)Wrfu6*o1`)oC{C2Eq&)zEc2c{kDcY8Ec{wMaZj
zK)my7HK5%>=jJIATg4|*i3zVt9kq#!>w8wEN7wQyqy|MN@aXmKQHKhRRBM^H0u^#H
zP=s;tHG7NBU`?$`3Zv7?c**_jzLo$RLuGcG6$x8mA+4K}0Qo7)5M6nt{)GtlYtU`#
zTc?Rx7wWN-;P&PC9fF^u7p9~zwY6o-PU&|CwjWFz4VL-}L^H<CDSmN`Dz#V6x(Qqt
zaq}PU7~GL#gv5#Ew8xy^l_j<ZrEg7nt=Q*MsF`jl|H^#+NLpgJ(8AEx%3H2eEg;pY
z+sW*c27RDmGT-Pv<Hclzp-lnx9it2R{Kx8r<h{3jv{otOzFgL0wVA!`hhB(hI_EvS
z2n%KR(kk`FmPQ<NqX&B4$a6B_kIIubq`6&2Q;?>4mGPcrL|*0mC`!wX=ubs8HI-v{
zsd7_?6-jP3VR%z^(Ar42Zu{K=S#z;;u5;o~hZnFpA_VA#RQ{@bzV9n;1J`N|q6^sy
z5S@(DB7VyhM;FCq@D#swi5$AudrCH0-{~E9;OzV&!C%o9wOeR2khOHQ6frfi<h94)
zkXef6?LvvUq?A(b9jJ;LHs+Gh-ugJgxgvu|z*ahyxf*4tKN)zGRanZ!`H@B1ukNK|
z#~Z`ohON;ahLlWl*MmWe9$d2A#+iOCx%Q}pse8CG@$Juq%~vcU+lV_^g`bUGoimCp
z-LgTmzxk4|A%Rmp<~zvLJrv9GPs=SNcl}@%ZpIw!SlIY$V+k8z(vaaJ=FaM7W>?pB
zXb+dFniM|eZRP4ryYrZG-*Phz6R3pSMms$@N92=Gt9$k;RUmQG9#dF<8CIZP>wa38
zRdOJlHchwvNuqC0tV?J2`krlwNkjLZ(}IPQfSH6k-SLh=Hye9fN!+b|QoT5=DB?>;
zq1W|lrSrbrSWQySn_rLOmc2%=)yjK?R+Efb93Z$>uYRCGk)v<>MLqB56O}7*Z?uDT
zdy3c`Dk9}ighwl1TlW5v=331!^lIEYDy2r~<x0mah{6STj|ZQ(d!K+l9B;E^_E$qf
zK?||_(a$pq3a*uC_mL0WQWC-woN>Jc)T8^Q5}FPsZJcJ@#!zd<gdj?%gj66Y`OJw9
zxq&1^6fnb}K!`UP8O(zXYy{FQzDsOI6R0IR|5K;W&Ydi8D{U+-e>%YTsZLk?&mMwO
zza6^sUAiNnnZ!NMdyueGSt+29Dsl%%(*rd!%2#s63<CoLZ=l`-KxKlNvzJShOy;_C
zw+tN$g-YZ#Bh=N?Q`OZKnQpn+&J7a3eMr5|K;>=XN2T^B)AvXZBY#&rAsv_Ev=$Og
zB7OnX6bh<vX~W35+H)l^`So2vPcq?4wv3F7&IA<iZj+ODIZ>JY=ArVdt_%T&iiK2g
zbL#iL1^Pb1*7e^(!2ycAe)NMX+yF=4;JN$SchiKf1t?g&7u~MkfAC%J@0nyn7^rRp
zWb^Y^-HjP5*va~bNkUHauve(b3Lm$Izl60fKcuYzycT}eVb%G~-zS(2JlL~m&)$~v
zUw!vPyViBhkc22GGMKt*AcVRMeE5vnfqY=&+rR%P8|cs$vNsWsn^uYGG5=Ewq|W`<
zJ^;<)OX)|g4>Mw$q3SCthk7Tj2vB?iPD!H!|9PS<`lgKS3!rse`<G{7jtCl$SGW_5
zj6p+BiXc)}^5mw(eo`OMr`y|eh6+nsgmnLgm%&htGPugjGq}{;RnVmTJ&?g!Iin-G
zq^hqUzO}WbFRl(tl<*Td1DXJ@2EIIN;ZgYei~lGf0C_r)s<3?_UxN^6-KFmWFpC6L
zGHsQ1Q~krk7t;GezI|h*cI}rs>b8)0%LU&Jd;gTaMO^=%d*A%ey`gkvXfV)U;|up_
z(W>o{aP$MAh)>vu;q1vNDJ1||_#Sr|wby&?tEi|1s4xe~ePa64&DYl|O(M=eEj|5k
zZF94=V$3iMRHkP9_;CZgd7;f8Esj7!>|Wdp;=`Q_Pm1nKQRp(*Q`G#%*_+byw5+~n
zH<ShFh57Z!H%;wo$NQwAPq!SLk7USzgi4YE)8V<J5K(%ch39o;ag4@aeIuEy7M@nW
z2*nhEKS#(&MEgf7JlKHc?Fn154pUOt56c01F`)6l%*IC5u1eVO`w_zx>5x|92UIn4
zAH^8VDg46QHlD+!=omfILc%y}uY^9u2l!>tkwo^lG}EVF3vFS$lIQ!9+Ew;6wRLp^
zBO~vKsRUjD9VJ-6zfuex+>x$x_da#Z52c^+L$3?!3{>ooV|!gfv9K!yKgZ5x<>g&*
zXuyy)g0P?DP~{!X-^X|h9)k`%20M6+)bNgt=U1}=(?M)R7;pjv$iBvN8hnE>3;RBZ
zv`F`J|9K2lALO>iM@C1tvQ<%a({5u1H8>n7^*c=RpYuChT9(A2hg!Iw{E~qt^)8sy
zV`x(EgGn|0cT!)q1QQ?49yW%2_&_-AK4sS;PHhZR68aN_w{i#v{gcOx{QZ<kEYerB
znojNnq#+0AxSkswHIqAMN5OF$M%yDLS8)%<qVD;+f~(W~pQ{H-5FV{-HGR-#57u*N
zxC3G^aPdD6Zd?y>8Je(lr;z162t^=|uyg0vGY~$*bP>q;Sal^lm>6bQ-N(+hc?-HO
z5vWr(A*h){iGvxb3vb_eZrCp?1aT$1U|G#0>CT0ECC^WRTE-4gW;|X2H5p{=6pe2-
z34D+KgaGMenBz~p%Zqknq7K*tl%<u`1e?h%ce<M33&yX&6N`c;-UjnAZpIH5S)fGV
zM6DYeBoq0R{^qn3g68iN4~~uoQ`uMJ!5q7J5U+Ya3%7`UDd_>5$9d@1L#6Jih?QO5
z=HJrL98-i+wO@B`nyP!=%`HIreJt9)`trTSl^A(WDIXtE`}$oOAm3q99rD2Uf>>V*
z&@Bl8VwyoM#?x>tszv-OkFte@g}rx1>0PnNgqt#C&cs)n=buk=3q)aOW@TRommn+~
zBS00-{n!7yELFz;aMp*5)(@@9u3vp)?(Co{#HyfOLfUV7&uPLe;SVsocrYmNM!dO9
zTm4W_{zf}BxUvaxD3uHyDc_amRbzf5X!Q8`#l;BF&-*&C2#_wy4))n9cQRB~=WK+s
zuR{swyAC`9gZF#;<;$08S25bYf5$HMzs62Q3*MAo_`$~Wt$FFznw7LLWxsXxx&~i4
zIXU~2xii#U|MYaYJXgbQmzCaUT3QJM0&y>va(q@UzLmQ0_ScNzd1I#vZPi)za<UC%
z7ho{^#$$7R`0-L*1E=v=BDe7qd+&|W?_N!x?PqE$=FEbk-{?y>Yd>2E9tdeAG9eG8
zY`<=@AaZx>$>tNI2+=K}i?0&S4BSDEzPRnLg>MB#oiyp7pw+56q^$2|SX=By?c1$$
z@H`rLDvusL@^Nx)?!5<A-X=BBc!n>+1?!=ANx?Q24f21DNgPKswLp(?hfA<&*CEB~
zll6iSucugAU|wYD{P<yu7#vIX&f+I!e3-;>hw@fM$<?>eI=+G>bZ(-8gQ>xV=Wke6
zH{G~W*E^Uk?_v}Z6pe_}GE5Sc5S;VfcLaNFxu|YS4Hk<OS_j{+@tp%n!akaU+;q4%
zg$y$~L|;0PyBsVE=V<KAZ>iV816|s6U{SbAQ9Kzxbl&)0wb02{Ouc*)HKp(P>!S9L
zSCAymMq$|w*f6kFmWJJ*1SIo-6=8+V534J;$vsTv|15pS9UAjLPpJb2EJ7JJ7M&HV
z)*^nzc&z$g%z?KWJ$2>5ThQYW!U(YWTF!6ZzFo5Qho%I~>m-%*RPIEz(*s~XF4#_2
z-+UYy-m@>pKzbGS6L>r5{uzaZwiL1~Flb??Jy{5j4w>GTVIt)V=WJhhW6%K;{C-EQ
zFR`e&nC?eIs+ra}pF)ZN@pdDY6Iuj+6(@s<scu}k!0mtL`x$g0KN_uSWK0T|y#lTX
znD2Xsb<v@%L|I`a-ZULhW-D~^2L0v6zd`cPdEMVHKrI`{X#LlhK|(>$Va9*|^glH`
z|M7L8CIQN8{m-SEuRQ*L9O3`H&)<XZ|6G{@?=M~apI`p}xNQ);dZ+ms;D<TucbY+V
z$&XK`2>;W|AWR1}dmv1o;7}4?x()huK^_3gw+g(si4P`Fg2DWT4A2YW3}<dU87T(h
zM4+wEy(EP#v~!t7UocWg2pP_IFu&@p-RLV^)Nr5+DMa}A8Z`Hon01j&dvAQt`}VC_
zu<5v`p>j4;%%~Xr2<)e(mchlo{b27rFane7p_D;0Qm-!=e+4P-&F>-QKp2oSBRd5R
zE++HM3_br`1U<z@wc*O80D0<r%((6Sppo+3_L-CR@DMDjS-uNImNqLe*O!jH0TVF~
zc1b(%4DWol8$4Dovw@e?9+fCHP6LfZ<nKr#gch!JrwEe3e%MZwrt0QY8MwJU0@|Z!
zaRC8i(^9vMm!}6+P0zR~TAz^{lxvNN53g*DH6A>I{RD#O{6SeDZIdG9dH20dR$%6`
z@Bk+-L)`${+5t^LAkXCXvobX`71CwGgRP|dOPs>bY3b6rOOKYg{6lR8!iJPYiI<j^
zeEe|IUX2I#E!gd*$fk4LwvYKwXgaQd=`et%gZ~~h9mx9qUg>)`0#>}h3?B#BZ8x36
zTVM0Qeq$NY$1CXwP|f@?^wvZA+k}~=rKAs2T}eSBuV7n&x*?=4cqQNkU*oEW!61E%
zd7+412W0!lngc*(R%5s7cDc^?xS*Zf+0}LPdI*o(x`yv=m{BWRaXs(+Nvs+qlo%nl
z_x$#qJDFd<UI?Ls3vJc!D=}xg16ghWf1Hk&5=?+ZD>FO$Q~tYc(={%TW5}$mbkD77
zNC4P#r4j=yHPsIkpn2@T;(8WFhT`#$RU-t!t{`ka%;@xWlU;=5nJ4%^o8kttB!x?m
zYylaEZcuaclW;1*>rlTAAV8O@kM$IbpaVEmXg+`d0)YTnK)UGwEg3Z7NS2Q85?yi{
z)v>^XfhX*hsxkst(g?UV$ZJr88C88t8g%owjzwxVEKjG*oOpaIFDpU~HmoX3GqQck
zR#g22PX)4#-^$B1j(r=a=aj^DpN@ba#iHgKXZ2$|6>@z?sVxWSJ!!hRRS;glCk$X^
zW>y&)8EJ0<@s2(g=*upTBKMCqbaavk-#uyfgr5whABb)#FlF@$uTW>%f$yCSwD43w
z-+B8c6H`cf$iy#G<@q!E=;`yY4<Cjh!M^!3ROH~G+QrAXO$*7cDRThhSt*EEVe4zT
z>9b32o9w`7+1vZ9udkojxd14^0s~EUaYZ6)Uq9W3-66W9DJ3OkKLI8W1N5iWf#b;s
zbIt-|rM^yuwVAGVvL4D)z3^=f6up7c1tvtW7PTB&n4!P3KWlkz?9{sBJs!pVRk
zqlgwe7&oa&nFcGU-ytQAO>22_8uX0wTRw*#uIJqUeEWRKzTLpUV7+q6ULD?K1V;DS
zMJe6vvUe0_wmyN=KxAG30zB4hgW2ntF(a)GQ#F?C*cC5pFtGK~E>86bBy)OS?kv!Q
zkm#BPLM}BW{@AIxmx_vtFIciCr=~{yabx~Vw2jB@N5HMHjJd_lZEKC`yL_DdVf=Pa
zOxY_f_hpfOKGdDy;^RBy<STvwi%1X^s=|iBmaV9_^Cox)cAQ<p$*iV*6VCnOW5qNv
zVTY7iq^7R!H&#~GVFD7d47L1NaIFU5kgVIoDQhmzTS#Jc9)Xf#46r8OYy}ERCknk!
z)^Y*bjKj|W3_Ta7E+SLN$VaEa+pTB@?2Kv~(WhX|(LH^ADU{M3e1Zl7fqj1v1AZCE
zf%DIg&Ds>zFdZ_Mm6Z)8l1CymK@;DtE+_v}NakZJ=ip?cm})<G!B~`H?x<bxHmt(5
zgA}<9=Js24b@iNA!%l*`PxyrG%bqlGJv<eUX(!oPOuAD$C1F7AW@(qZ%`}4AMWJcm
z$PY83e{UB!_ieSgx=yfla$$K8RPvfa({jPq9sIF+>BoIy`wI4O22xd<(ZaQ%Wzeg!
zw?{c!&2QO%cz-14#}5@e6(Ic47l491PADaV`M5A-KCgjn6&Z%2jb&do5{aXGwY9b3
z#~}Ox*4+UH1GeNm5Uf0tGpIvVd3iakzk=Sb@eEUJa(c823jhYk;fidN3)&p%yOy00
z-XsYS`ReK_tY4k*t7K9A-ixPM1MroGqlGYSutQnd*qnCT$X5)`fte$LdG2*Q^st%+
zFdPP}2iOJI+XO%oP)r9BmCh3{4sQdIXabmqrY7;^fe9U!LgJt#5_60NYcE8F`2y?+
z;M7R4@iA5|;6em25Mh;=_asZ~ORgVVtE;NwJ$6V3t~iSB?_j}z!C)a@q20I_SNzk7
z8kpQ^|8rb>Jrs($xw*kkicL<yD<gn0DW`?w4yKCd&io|kAghsuQz?VvydfDDp~Wa^
z6<uAz^u7f7MCVDXTs&B%?Zj*LeSq}vVL1v(fgs>MoN`cAy?I@DF$%tdG2gRwa6klI
zy``eAKD6BgTD}&*0zkxx8Wf=MoPPuJUiY-0Yn(|u1UfO4P*(}UYu9$)(w%1Xx%+{A
z(=K(HCJ5+|gL(KfZW7tnLLyl&zhQBgiVE*lE^i5^VSV*n6V_Kk<K;_y*mcp(AMhy+
zEv=OtJv}|F-M%Ww#hgX0%}79z_$vnUs6=D#|CtH%?!-4x3rUz`pZFogzW2GL$Cf^|
z+pwx%yq%>b45si|$myq>LNb4crDUuax?eg`(1F&zW{Ir+csa$=!J*F#?|V^^jE)W^
zY>^ibcRp`Zxs96xa4S=lvs`&=u6HpQjMq6vf*-sa534#dc5N8K36^No%9ljcxSzTW
zgF(I?iFXk_ymmTL41d=aMvg>Cp7AsuHf-NdQdlTU$FVm81HC;+;Vs8N3X8%fi{Aj;
zi`NP!p0i^tSU%<J&>DQoH+Fx7i8K_}KlKox9HQ`6B2qr0;8vn$ODWK@<EG+vLJOqQ
zU7%Hbsehl_dofxTw#fB~cbZ>N5ZQc<>nU$iYv{wY_rSH&?s`%K!YU7hHwUOG2mlj}
z%Wf0cX{~V(xPUlO8nc*0fu1W;(bi7HzUU*Fs@tl)#->%&+8TPx39wfOI$L^kCuEiO
zGasP1sCqF*-VwM|B#4#TZ^}}?0ny?8hg{Qlyv+=b8&$ULg4cafGvp2bJa<GZQ62cS
zfZ*f_5T!Gq82Icqs>95|aWSKbc@}`5=ea{WSe&qOY!4vIVCcBO33Ttaoume2)WNoU
z3|<7dX%p1zv&-+#W?Q^BW^m)<-ER4Ew~bNwxuLo`!K*Pd%ep`m3lL=PJU%FDIy-?k
z*h2wH^PeBPf*_ph^V@RyZOU5{GE~%GSM0tb)$nk923QaeANTf$(Db73@koR41OPA!
zae!I5zg!JzIa(lZx&k}G6#IV!aLBAH9uEdsJ7rAtQ;hR!W(fYOSK@MAs70BM7_dRG
zJ?#6F7B?TxlsAp^4zu-?Fm8+9&-I}?Y4DRZ_&FTFEP_=pZTso!k~sljEumb8lT;7T
zcmaH!xXqHTUz}TbXp99RJq1``LaP~XLHI(xsb*9cQ{I*%nAr^|IuEZ2@n2hM#R{P7
z1kkU5!2l*ZPopXXTpxw>>)?;L%IL(*%l~cD(+sbIrtCCeKD-OHOYndG986aR4furf
zl^eqgA<Mia;}7`6Ewtx{urNHBot>T6RBUW44ED0vaHja-DynL(H|65Nr}R@(dzy2M
z(fNo&%9MQ_@vdk6oY%w8j!!rXR_|!(ztLcg^Z5L8%TI1O#17mK+DkBTl9}08rWWIX
zP=J6Q*x=NB7QNF;PSie|C9nXGS+C0-rp^fobGJ5ok2|40fq<=mH%XEUT?H;)6s#7%
zf5)QQGF!09bfvDZ`Q5cUu%+4}{EYTUx?<j>?trdS$ia_%s|PD`7%c5LwHIx#c`$%>
z(zu9^ckyv5Kwf_FG<i8|hmD8g7a#W|Ka#hbD9xU8D>iHp5gdh<MU6Y~^)tX`f?)22
zriR91yTyL``Eh!U7wC{tVQp{!@&yY3SebBi79DWwnmRf<vpf=jS?b(AWP`2mw2){i
zOXA8^!(0HQUMFul0&N-lrAGjWker8aMnY($-2=E}@Uwv5naGxSU6LpQNIwlB>X(4C
z?d6P=`U@ajrj9}2ik>pJu<ln%716{~>5Av*ngUBS9Rzw(hzija8!o|V$G7+yWL$>z
z>L`efyal;|Rg(X_@hp6}BfiS{fx~&FdY1uUP;1Pn5vpcpW;H2%Ft_Hb5Az}-A|$$q
z(LW3tyekMpT53|P07^_2ar*{+ChNUiie@|-_i0SJ0X123`4qi2Gy**FR6WU*tH^hW
z^W(mi<wFU5&}bPyqgQlW%nfi(EBK*jpfOsAhN`M+QRL%$833$kFyH2F$F$I$Ip!WP
ze(EvTWFYOp{MkPq{&0uQ-TT;-Hy=tRSOQ-_SlPf(67ashGI%O;xGfKCsw6eZ)Qq@M
zoZ9;D2ay`EVP((>IMq-F1g!l4^YKXk4fY5iw@0X}tLsc61hdAhkBByGmi0*#K)UOi
z>grkeZvud8RtL*8uoghsJ$NSds&PTA+W8Sea+uQMb0+A+^)Up<K~sghHv#8A0*FoU
zn5qMo8mOl8v%hfF+Qvp5I1&BXknd_Q0D=R-31<ah-8EHIGClw#3?!qApzpF{)qt9H
zFhE?u{x8lPoSb-9xUQ*zA6=MksjaTorUC5oI%tadl0+OG^@8cs+wE4k5LhNI$R+?I
zJiKc(ShFGSn;GFWytmZlVKdWh5-FYo%L9iYEPeYY-E<KlD6sJX@uLpY08h!m!68}^
z4v@erdY-qfM8}ZfA{Kgqdffn!P%usQZOCbJ=vB^-HJv>IZ>s(e?VwV0kNNI9E?+zd
z69JanXx_#MJ1M(0v@f;^6bd0i7X-2IJ|k@T_kgR0$tQ5OX#rdz;id|$HDeEOlLtI+
zx$j0XI0bSO0x$)C3vTgq`w$7N))C-ta={)30SF$g?~W8ir%LZ-T=eE$H1x*-sR=sV
zs;u<jisOy2wjJOCi858LfIC3SI8ZnV&>R2XDD~Wt<nfK5Ghtv;p+E_uuw~867-1QW
zjkM5?m<jKbJogQ!lY|R})C}nZ7<q(p@DF<sDMlI>7gr6qz>mkWG;X&63@Fj_^Z#?r
z=qFe|x5Unlke;CP@DK1#GAZ^9mq6<^S#|YW5Zejp95+Bpg69aQ2N2ThZv;;71mqZA
zfHnaD-2dgz-#or|=noTGPBhs8%W|=^AlwxS2?0-W&1;1VXek4U;y?C>=itIfurS(<
zLui7BlqLPDu#}t-qKEu4AgBA{rXksspj5zJ8AyZpnPLB&px4$|%blWH6$bvuJyUvG
J^yF3Ge*tMYpwIvS
literal 0
HcmV?d00001
diff --git a/QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/examples/figures/neyens.png b/QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/examples/figures/neyens.png
new file mode 100644
index 0000000000000000000000000000000000000000..05cd5a9b1b29ab7b7da37078b636b5de414273d2
GIT binary patch
literal 67037
zcmZ^~1yCH(wl+Em?hxD^0>Rx~0|NnqyAAH{5G=S13GM@g1a~J`@WCOtyX)XQa?bt#
zSFh^6UEMWRJ-fTQs`p-NeX^oHsmNoXlAr<r01QP18Fc{Q&DHCfh>ZApMW;6T&+Ct%
zyR448h7-u$%hc5p05o-Xws&&3w=tvgv~+c|adPBl6JX<Fp|W;&cXktEXLtC&6WE+w
zt=Op^o_k*(g5s>8>jnT|nf^Q9{17j(0lWbK6lEkoduJU5c%&K5G(Y<p^e?mGdSOw2
zbWSDs@Cg!lSk%qRQ};;^^_$Y-!-vN4PkIKSN(x`Gy~ai?mX1e8T%MjdEjsPU8PX+G
z6i^NWazyTSvaZY9Z}jX=18yGD*$86#^8P!{(j%TfV@XK<XRP<;Q|zJsXOz5|hBN%{
zMV?^aybtgHjV#1ZSXYI4t*xXlxBcR0MeG46=Kb;EJ?p`JW|F3+)NHLsTy3`-F(tlV
z|N9gY_o3kc>ojGCupZN6r(ZLup<RH4{=xvy=eym_=G~moWk+#*>Cd13jq$vd@q{nV
z0<r1bRvVQ;PakY;ZPzaE);wF)^z~!(o!apMXMaeY*6fTQ7MLhXzx-$TN{cgVRTxCc
z#t@KSKfK;`c)Pgzj0mu{ww6#+n<(MsLHIYq6C~R6DG~a8)8NKeCf}G0e`jU%6Zr2t
z_J{fA1xe|YYXReBXiA*v{(Cj}{4>^CZM5buEt`ul6x?`yc9OV)q9O!EMaA)bcSci-
zf75a?dd)b|(b1{I#VLK;eLF?e-jm)l1`ls{|E)HkSXhYmx!f_mKA7n*U!0zX93B6=
z=Pd~-shW<C_s_`l^hjUnm$a{Pg-z=bq~i+<sJ~{S#b55m`t2!^;jxk7>pBx216yup
zKA3u@aSTmV1i<#ttdv?{2AAx>=k1Uf9^J}aCyv#49z{ksP$okHu&C|%ZZN}t6XR4t
zC}`Cyg29;Ix0a!`8xvRoD^?QnP}R1+$RcgDyJ%r7wss9FvX8#K`O?UH7hbe$U2|?n
zw%gqNK%b4#zMawbelwWilwz&#W##*MhW|EkCf(Dw@^2Yr@n;x$o%Fh359)L#V!;kI
zFxF>6>zdl=)EII3XL5Ts((x_DX4Z_Q{Y|o29!n)5B97`)se>{0AG2F?p1_pPu{Vhf
zjEr}@^R?NBn`x7@`&V@r2HY19Jc9Rfh!5A7{w<6{y9C^qP66tPuC;Lvu{A1vxNN|R
z4r)y>h8Wc25A+9Q)80hE`Z|>e)pno5x~3hdE*Wgt;{r-$fZeei%@Krs&8eURs*G*5
zsg7>7bk^FnLBQFklNNLF%D~yUf{uybf>mim7pMR*S0-<B&)DYas-|-G+eQekwWsaH
z9AWwR7GVa1jjNyhPspb7xmsXG|NbxRmB5l4C82eWP9-;Wagt5FQD`aH{et!N)oz@P
zI~$#18Fsg>KMLii{)M{Utp%`eV3-_UzhJ$tmrnvNKalSGd%Zdz4BPGxegT3zAGg`l
z1Y9;a7gxPj1DYOATE#D#=S{!N+eFNC(R1jOsgwG>bFx4bcKWmdw`}swBNnrPTX<CZ
z#=&D~xS}y;^_<!qMT2jDBssoInY=cSmO|bMOu5Im-Xw>+7-b$$naMP;8GXM)BtEzJ
zH&vDhjcQC^**h;rNT~2pg0P>qfm_Ghzg;shnE1%wI*p7hQ%&667yvL0lnpp1+wi#Z
zbWufb$Le)^9uWL{M=QZtmQT$rQs>a`owpb+h!;=%BEe6>BHb{BhJ{kdL{if8L=!j9
zoK@R~K~08;Xu6CpB)Q5^St&x9<#p~GmFrdNwC?ZTjl~igvTM%aGIAb}i7rjqZ;~1W
z|8+HLu5aRI*MyQR)H{xtr5kRU0$URs&8<uh>6%szs{iO=iC=+G>$rD`(~kmByPW9M
z*y-<;P&=W76ThEGI9m(FdJA|yixgk;TYXrm5;}L<dwP0$&&=Gtl=^}u7m09LV^?>&
zVoyT5PZEX%E0PtCJbFoFl)qmDtzi@o4Dr{q(5}*X`dQcx<KhIu@A+t)%X;Hf`sqKf
zs|!|YfwLJ_@Gc$LfKa|+r?>g<o!$<6j?Hde${kN_X&Ix&N05DZIK;RZ^@4y|BH5W&
z&$*RFPU{V6dG1D(I}n`qm{Q#tiq9Mls#2ZI_Zd#r`fr9Ppkt{efq8>Wh#lu5YW#+i
ziuLEM7TmCb2E7amD0#c;q|H@gQtAH2-{f#4k4Jpg4%UY2GY8Q-QK;z{u}I)7vk#_U
zxC1eifWpLZi4rIB(OG4_KT<~dHf|@gr|~RNJ5b>-)<x5LslPskZ`ir_Hc}C7?(vmS
zj<+Kh?4zuDDx|g|{m_B;-2VdnV~R3`QXpNc;;G4ki$j$>qj=CNm125px!or@Fa$iJ
zkep<PAAjyoB3hcP@-zMTNUkD5Qb6_G7a=&Hy;&p@K$-VUMYwKPIQLPg{Vi@|eQK;^
zX(%kg|JP%~@`ftuMQdldh!VK7O@dFhV@gO590Nx5kjkOTF}@(WzrRn+%0dsv4Sfyb
zDvz%TWtL(GOXTdgi|ELk-)7aX2m0!#|E3`LJc_;kkVU6X^4AFfz}oY}X+KubZI6Zs
z&41!M0`WnJ7`jZx)4xBC8&`7@0}TU7(S6a55Y=tWxfhD~c8gCZwr;RX_rx6-%6Tj5
zbSHI_W&5igo*-i+%cU9q<`amDR?_0+OEsf#M5suh0driYLs2+)vP0zYW=jvdaL8pg
z&IjJRR*jXZEg|vJO+lMT`s_pr#poJE`DicIpbiG7%5_1w-w9UjrGxY;>R*EvYb3zn
zDUoDo#j$0^V^KJS@vzOEX1IFj(tUW^BO}X^4&!kS?((i#qxeYnBQFs?bo3*Mhg~EY
z4yRbHCK%><W`HKw%p<tSAgry6z^zQxtJL8qcKlPQt6^FAV}n(Mo3*;)$8AA$@21%u
zigZ+1(p|WUNw_py*YhE`C*^S-l3eK6#kR=!=~6dP4IxKtaws0}u9f!hv=Plyw!OJ<
zYHECdpT5AJMah!3C6~>E<>H>q{Wlvsp1bwyB@M9roYFmJsLA)5#6VR}SFuJf0tF!?
z+osA+4u@Y1CB)6fnX;7<fH{K6((A!u;tYSKJ3ip^<}jg>ka2q&^k@4UXnzylO6HO8
ze6@2ZN6FkbPum)W+RFWu%9mn9BXRB$45%s<*%zsee;+samLq5_1Zg_6`Cne|4q};x
zdwP%Uu+#bSbb9`D8uWsfpzz<du=lCdCqhD68ZHply7~ri<trNau((RY&ky_Y690D&
zAMf8#!Jj6*$9_$%$xACMfw8l}i^pO+Flp-H^@s_a?$%@U?X<L6n)<urHw?ytt$T?K
z#@y+iHD*eUWwj^%z~>t>hQhx~%6@jh?^$aW+WZb4IiDBULUE{1^cef4jt{K%7U%cT
z%Z0W|$R{&dBE`wyq5m>d&@YO+^c&Cou&=Yx?HX?q8|rqw(B+chKX;@J@kH`RrzAPe
z>+C9MRyL_^vx|mIeUl<B(NrZh4*Ght@RnKx3$S8qX+JkGjR_<GkI0x`obI|PKAvpL
z6=NCcNWFyB11*!G8F~x!qq^vRcE{!eswIm|`?14jeBW1=bsxKXdE*3$;2aYcPbg>|
z{<iQ?Gl=$HqR<bT+97s{IpP-ld0W(7k00xoi@iA+P&c@^U_Awc^zS1#yyRhLXf8_n
zmD94F_^NnjGn{(51d%Ps28D+-RasAT7-|h%2b9FkotD?ys0RJ?{Rue*Zj*sf0+|y&
zPf!FIRcC!3{QR4jsfvSVgnV7B>|iX}9WhK)h$bAD{oZv%hl<k5a!vuL@~)e)e?Eg}
z9^30_44R)Hk&K;jS27yIdsi`E`BA8K%6p6m87rQfNb58u>a{4t3YnZ#|8eI3p8{^|
z-SimkfA)I#6yN~k2`@jN5d*Oke=g39^;!h1<Oqg7E@{F+W_uG$pR2O&&qrJ|Guqn1
z=ZB%}jI0!@<_RBZ!_%zjmsvp72N#R<+2?N!StgHK4I!svV=J`#(+J*}Ge)2$H)P$a
zo9n@p2ifLU-eyh-5|7Tv{&cm4yg^u-OE^T_32FrNM5X?+h)CpF>j}=vce+6bJ#y_U
z_??t7(A!ZkmDJahD2|Q+sV$!m%Xva%Huw6DTnzg2uvI|QwWl@ig6w`R;if7`zScrG
zwa`BEL)7(0X5tIF9SX07F#CwoiyW?Fa|X`Skk5f?1LJIqj-)bS2(v*Zcw_xb65Psk
zYypmRx(fOW{q4JB7Q)#^vp8<44{(tBLI*O{CYhB}cFF=DX~^d8*aok<J$N_3QrPb8
zv{q7aE^m_ElR8{wV*yVp<P_z+&8ta4G{_0BhyQdrumj?zg)nN5wA9A7BxP)=;*)hs
z20>YS<Xn1KB^!0F>3r13)Nj3I2JsopcVCLEZSwL>F-3wqR+Xnz<%ogt;u(Y3O^o^=
z1tBfCx%C0TFwq)8nf2b+ivEALBis+9mj4v&-8KN(=3JU3ZWqBLMa0MAdy(T>D7kC?
zx1o8D*QyhIwRl0G9`TJSy8spQI&qdF9eUc}1>WH%wrKG-C9v@wv};V$oy^e})({KH
z3ME4I4DmgQ8Q=+!IaA2lq60p=qs4q@fqs8jp49$1m}<qPKTAQme`?FmJ-Y0+K9&4T
zeri}WcuC-j>4j=^FD~-HtGF9-Z2-oZ5{#Tvwsh}$4xH!VU=9bxSn2ClZO%qPxZRWk
zlA$Do?J@Ee<Ft3z*$~Ham-(^Bx8F!(6TepoQCSeX4dA)We$J7$!i}-j;a1RwxhK)i
zc@0mXJhP~;$IErVdAoZ1JEi+87sjm8Q{wHp<)b=Hztf%pa=iJvDx0-b$uwAFBgyD(
z9O;`L&ek03#;Se}Fd-a4n{w0P^62w5(!MJcrptEE7f|ZM^NpIrau(}zEtJJfg{+e2
z%}cR7PLh1IEKEDnqkLCD)2%jSwi;(7N%>p1(EBO&o$YAHM3-yT4fmEAFTPfeovh$?
zfRXx1B%G_oNKp|_xCeZ=YZV-iynl)JYmRfp5`Fn4goL&w(<W^N)3~+x<n+G*!h$7L
zoE4Y2a6$V&&3BN~7H-laK07_#MnTck97th!FTL+TUD4k0(h*3KFbPy?n^+n!q0zvS
z9%Z|7LJj1%v;794C9u<31SZVA2~i=-rqjq~cciN~;>eBSlF4YNeLp9Ylc8*Dr0j@;
zZTpKKb}rK1%w_mk&#jBSV;on@b64Q69x=wF3U)scyQDwh(I}asWwghsE=m8qiLuG&
zVlQ<bD++g4fV$8IVYag5Qj6^Tvdbr=3%$4)66Ohr&Cry8+RrM{^J@9=B_o?hRVTVB
zAvuhOe&YSUkzu>R34bDRXgQbuh(F;|Vjq*n$@=GN;ze1R3{f`SsM5>_dJvw-;*<aB
z+5Ofv23q~3hi80#XDXhT{~OxWPr<#o#eow#>eH5rHL%+SJ)@X;n^=`wGn|;5$8F6F
zTf|9A4W0bNuL@4P{*DK%Gg}|}?Ni;kfCe9w-T`&({Pv<&jy)8F5Ii$Tdg*{>rUe~&
zWPN9ntH{8d#9j+7d8Gq*zzjvk&6n<a??8siUr&L}f0f%accK(5oPmWn*DC1>Kj!}n
zsRb}zQ|mv_iHiFF!Sigz$=`#1?wy{>fBcC0N8C*q-4m@tLy`3K(!o_SQdYN)b(hG7
z)Gt4jZ&i^Am>e(uQP@H|k<Yl+1WSo;D4(Wsrn+gct(yecKx*CS=XvR_xO+fchnrA0
zadX?r%kq|!3)n!bqP(Nix4}lEuI#Eac_6p2TPU@sVoC4-t*ss(-lAJbej{kWI5X0r
zbbN)shd$JBPHsrHcpIw)BtSDx`MX^pz^=(XedM>9{`Bj&jByAnMf3Paudg>_9oWY$
zhjZMunbiZd`*_Hvc9C}bXh|8;trdOmBk2*l>r5GSiECyyK|1*YjS~TN$8ZuH;HUI3
zXP(fixVOZvE(AFDfaA*~<r5}1w=B^mwy<)`ae3*vF;R!X)LmNIs386sZvTnop)Ld@
zi`?KLt_qu)PqC0b;0s2mkytKq`jR%Bl;<BWm`gbuMW+(@T1a=5!9Z!W<1>(;maapa
zU;T3zA+wD}P-WaI>wu+ai*Mx-dy>Ptn0IB8klV!}kM4*JGN1!_w{ftiI;w-ur<qOB
zs%7o8wl=kcdXDg-1DmoT!^~uF)e~k?{UcBKYY>Y+Vn9HEg39+ND?Bl=Y1022Nv|ce
z|3jU;e&_C46`W#A-tHqFb6Iw#)}Ccz^-LT^$dqfA)C67##qwVb=KVATq4E}CTxm(j
z%o`J5iv8Yws1T5EUtvmB2b)lRPF|?8@3(Ub=`f$IYqqi2vmbdOk1osfClfE5i`EYo
zwLO#-_mK>gm|Xgr{>xXiO+lN@ldGvJe@h3+->45FhP=aP@&u&OPY**0Y_%z)lfNu2
z8M6E|`OGJcA}j^LEEmep@im~%_Oea;=A=g4^LChFf(Pg8K&tiJFEYEEc^=_gX$a6z
z-;(5}8?Bk)l+PK%pF({?jvEGqNb&g*ky>M7qy5|qg-rIbH~|3Et@^zm#;*+D2C(U~
zV&kN_NT+`4?dz)N>PyF6Xd$k7U$gXvaMyR^{XF`Vh(z`Q=!EH4HqVP-5fUAFwe_bC
zY?AMpo0D5!2Lg?<`#kl4VD^zqG49N8mEN;4MIY8=6{ob6>r|y#J6G+r2k)n6oMdQQ
z^+-h84ppCMH}r`~eHGyRyFYO_X&xPn*Q2WetbrnB^H4_Ze5LEctew)J+b281RaT_T
z;Q8$Gy;rI||No`X-2YD<6YVN4`vV5)LXMFsjUP#F?{4%2*DP$(u=0t0GipJ)-!5~~
z)dHoGXnwpunqP+02*cG7UN-cIr~oN!E@(=Wz`Mm-G0b}y$(YLcB2&hW79nVE1~^2m
zQCDW>K|dMhS{3G31NW7Zp^bA!m4iZXf|}K{wK`!1Zejk8Q`z+yNA=(-{KG8O(d1DS
zvxu^OEH3U$g~GsEi*JxiXWI6MWt_=&Cy%M&K)sLc5Vt#p3^*Cphd+)`dAXXSnSjC6
zIcryiAKL5$F(_khib5YU({)*BEW$nvtl#lyf_-OEbO!-cpm(*cYIsA#v;nD!yqFR&
z^!$eA)KiQkI_g7%hB8|9!w8;}Z)vG>UmKZaXI<18i-JEl?TvP}>J<mdvcq^tOSg<D
zVeUmh=y+pw;b-t7VpD&IsOvX|&cA%J;3t>jWIXOtYnSr2xA?h^NkH<-)Af4ylXSn=
zU3SE0{<$17MUNMPGy0L1rA_XUQ?SLv;{&atBO7h~%Z=yBGD@Lktt_3;RqGmUoExv8
z*y2hXOUC_VZ0N(nDdwi=dpgtujQ@=VO?hCFikLwI^TuLQmTFb2Z~+XoBtFhk;hFlh
zf>#RMxGaW%kYul`BwLojLM4}K!{Y7{S_RGo)q;}aLcbmBiytmr2>X~x4Q?okY8{`4
zGS;8d+S)&kko9!xhZQgyLAyd*Qx$~fREr~T_z1`3uf&`%ieJ%_>Dyr4v;<zbq6~kn
z12JIEK}zXa>LR1vMM8gP`Jn#NwDAfr0*xHwRE$7RZ?z@lQ^n=58oIvF9@FZ)ED7u&
zs_fzUDDX}|xa`W+>45QR$vE}r;5o%^^LCb3LaJZcDx>%EqM)i^y7Dv};8>KWhY0?D
zNxwT_lQq%KM_;cQQz{Mzei9+UE8R505ndd*KKXf8SAjfI!-6}$Hp0)ID(az1^~b5>
zQ8LU_Gf`HWEvIXX^}Bn{SYhN?qPxEo@Y?P}vl!Nqpgy?Ij6ddL+e~gA1hvurYPXC_
zCmZ;KU1^e2*xJ*(*e!w~1{P~~$*&|d*1)+xolM41?7Jv?zhr~{QHT)lLhr2KI|ret
zEK`gY*da$zPG7&Ww$&W)D=n(V0H@hGR$7&NK)9mILQAqygy26E!~czx|7%99$<L)3
z`6!5<IrWv76J*dz<(4{K%rp>dtU5E!=V^I|37nN~NNqr{))pP_`vh@{)hi$T&?>Ja
z6z&<pu6u>98x3!BI)Zo94LGashP?s@nZ>j39qPc9MOG^}H$7`<Hze!f_EP^)hJLG5
z;WZFtq+WQLkyLSWwIaIoLaRJ<twFNNAqIi_*>ABZ<8kKvkdD0YQ`%;BPIX3>4G4K2
zVj(yUymIlb4Hfbw7iWLRwejY+W?$WEg$oCsO-T&jN-Z;{qL5u?TK)&dbh`~QS$zwC
zg`{EWMOP3i#=^Yk(2N~1^V|x1rR2zn8?s=NxUvd$U6~qNFV4qxGP$z4N?}qaSX|Qa
zdIWNRc}!I{v?qWFm@0kH%`Jd5;h3}Aq-K!ooGwDCDdpMZuzaP+f#zqc9C5@wd9>qE
z-`pqz?t9B@wwF(Ij|>P}Y108arFB1vLFdZ`%f*@n6kEX59v)9^ge)WZ0Y+`|09OJ<
zPBg>v%sK0Se3ZtiDP_6Q0<7<eIzr*Cgb~{*F*vM1sh~X2S3MhYsf_dl02N{0Ki?K!
zh%jXl{qG6zJxl}MYx;}xbQn6C4Xd`n)0#s7B!Qa@;+HEfq6>BdZ(|oKxe*^U^bK)T
z!u)guHZG1Fl2z(+=Xai0Pkb`6vimyv#yJ4DQ!BC=BJIIfI|V!h^$Kyn9N1<}3G6-w
zjVrY@FMpV0c+q0&F@Y)%W4os<57AvcT+*{E-HV#uz@#=UfE3@9n2mV20l(w*Cacio
zlP=h5xRxqc_}$k@0Zl?qF$||SHI>^)j0(p)Kuet@g;9NkmWB~FE37hAB~tYg#R0a|
zt;ECSnDx(H$fZ+;9*~>z+UD766(7oIQ|B9@2wqv1ltR}!Ds(aR9l87p`PKIonj`Ns
zV<yAPyhVYKF^s?)eD|SKsyF;Sj2Kc8t?eFV6XpCv^@II*Ty}a<pMoKvV7r!9TGh$)
zlu>6DPSQ+6h1AB@$emj6+J2Z-N8w=5g3A39qsHpw7FnkK>^o`c4`4;`i{GI=P-XPH
z2ZN<cR%JudbA^K0UV(QGV0?S~Ze+;RdjaZrg4HOES?XXz2c#U`y(e=%H=>D%c>7zB
zc;w{Aj5MsYs$S;*KMOh^z*X(jI!C8u>sJhmGRF0x7nD98U)zh;M&5036}Ha^s(?k`
zsC(|<O*XZ*xmKf2ga()j##Ch`DL1o2$($d&)xTDHsBE3LDqPk-Slk<o7|?^DANdn)
z%WH;n&S&1Jd)FI*CWXY^V2S3qXcmCqygr#cf`d{AK9IGi6~gahtn_hY=R@tW$OE}U
z8<ZUa@wz<hB2BsTCuN|?--VYJV>T{J`vg$Q{27nw>Y0k7NRKWuU&4d|YTnMyVu?v6
zwjHl!$H`widKseKg^J;aZ!b>$?f74A@Lebce}xq=`EUg|I#FYg;{Vl~@FTA&g3Hdn
zy6|kM&Gvg+iBl+h6RqOu3iJy*a%Lc14EMj#BR?tLXVA}U-nDY=>?9;-+PAk^=dE?`
z{zX>%DYI>S@CnCBXyI@tL-{=oE1Per7t+><Ee%x399|jfZX|35QUG}82PQM*CiSx<
z!%<h%Tfci796_~PIIASIVzbj0)0YoeyJ>c^b&bnagG=3U%km4jcq;45{W&<g()A-G
zQCscgm4uQ0KVj2ZePtYrTqx}NaIWxG2FuRQK6`i?7#NVy(jxd1OB~wlw%hI4h_#yZ
zAC&*4+lAT`>*{s#=6WRMpI7lN{O0Dyyn&Y_E=|aTxuWygcgeX2LqSnd5cDvG6Ox9~
zl7@4Fd^Z4BVP6`T#v`Zv-Zg-pskS0f`MBJHb#5!&r_A&S`^S^SXQLZi_JoHMf-Y`P
zF`NB4y+2AqO0J5z{8-LUL+X3HEVJT>7D62Tia)tEf8ZO^(KWvb_NCnaojw@J>r)bm
zw@1pWyp>E(r}73+`5P9!6Lo!@HOB3Rr6jak3bA^sRaD;FjGGKga!fu<*-ck$WP4BJ
z(fTWLWmc&MQ$c8~aa@GTms201@?pFFqHT8!MDvdGjmjZl-&QI5XxkCzU2!iwNJIzf
zd5`$~JKl28pvkyNB)e4*39j&O<q9J>;N+uvmoK~M;V4@JS_(WJd3($u?GE82O0N8*
zrETXbkh!@mu{fN9eXO5_&iYNTGPN0`!I&-04W8GdX5Z>Whr#Xc{D9s1f*op5F$mW1
zZl6ipvh$%D39u%NE^IUCA3%zfEzV_xaGOpVlMrbp+a}Fv_m0UWp^B41qHIG`Vd1-r
z#UF(>Iz;{syO4%Gc}PARDOyEl;s`7XDU=5_CeMuWHx1E~*J8Jy_hH!t<qF4o<t4t)
zI)i&Mez_++>3j)1T5cueTz6b|7fMP>3c0#+|7*{8b#;|jQi5b?Xowsx^|#4|md{}!
zEcf}Ur0HhC&SlQfEC0ujJtBGa|G<?`0wiMRZ~-$vHE$;p0>h3M8)*q*s6|D|wT*n}
zcgAuPbZbGTy<c&p51N-9?dNL{NckOmFSduP1D||FE(U0CVVy5=r?2#H(`LMIVoC}R
zq~d>8-S}-U)>U5&5|}p2@1*(mey%efjjaj50Jb42@8XArqY;{|cZc5&ss?^pSkM!B
zzTNcR%a3$^d4lygHf}<NPah#Y|9!_>11UmWpNoW$%Q10ErBt@QGTqvDT-cR!G5-`=
zX92R?*~X4<iDECf6RWEUDJghaPxo^su4$aK+3D$Aajvr^sf*Tb6uBS$7COWhU_zob
z7*8!VqZvzNCN~_$Vd4!tB?AcJG@KF04wosmHIf4|T8_uRC(g!%Ko!i2#Tfo_w&l|*
zECkdGg?;0hRwN~gLS}!;FHzHc4!+4Pd@q+<*x3OM-<;i6<<Mf+mNiS&go0|4sI8s&
zx$Pa~FdZO;uh|W1ORc1n9;(~SBD7GbT^FD1{>RE0`0!;Ub_W%8-NJ>qzc<!-<C|Th
zi(|j#pt*ifqVBbfaJ|Y`0Qa{E7}awGw)50;W}QY=ekvOA-{dW4u3d@-++tj|e5#ms
zUAEixv5llc&`r70I+-4p9zA)xNdy*3uMtP)W;&nIN@S}((U)(Tf3T}+=<b8;ZN7~L
zov@uGrJMg<trujey9gAA4Gjx#oejD%j3crVn5L&m<$i_cjVM>xKrr;szb!Hw6n1>o
z{hSm%8mqJ^_IGjEPp(3`W9)0gv5(CaKK3bP-*-pF5+&q0zsgWQ<Eu=cYR3YIn>2#7
zLObO>=G`*&68|pn>iU{mP?t@m@a+6NYIS_odoxZZ9?r9sT>SYw0e7L~zpUgg0yF0S
zDfEA%_%s`P&RaGeH!M1LArMMbYIkCYVfy-e5?vFttxE28efnHX)oIXX1jf20dQNe&
z`a0dsk}kHoGUlAz6M#NAScekMPUb52)2oH(Mst^D^gBCV;6CP1U7bR|Ji?Gsncxb3
zGLsD4?Xt#$VmTwqd`HFmd8YlZ)SgU;u8nXM>Xlm5pB-dlvexbN2x?1#?loUy(~2C7
zjpHG;0-0`lIUh;1%6y&`W{8uaMMWb9jI;62bD#{`4qmGwh=w(2_3)t?i;vPmVYzIg
z1|?ri#69iXjLbsaAAIdG5f%%p;dfFq$_7}SpSF7cG7xS^Fh5|TQrpk68C^a%=|{Du
zOt+NBU9MZ_9kHgw6z_#fVYr8Y8ifac`MFw(lUHl`sWJ7;qLMAOX4-zF%iiDS$!_Wq
zISp7|LR$aoFHS1@Wq$eMRWc21c`bIMqzum#zlk6M${h3N3*TphN|kY871k?nf@6kZ
z))%2OR(2Ql^yvE6{aZe(=2Z0^s_#>31XBGL2*26fKXpGlAtS@k!OEjCe>XO=jMB$4
z&NkZfDwX(<ZU`<rE<u+>0Eu2wz!?MHyHH%;Ja*#_vdXp#R99D5=P4ln`c9_PpMfOW
zNbP@g*e(1S<xk0n+~?dY-LBK1H`4DY367nPC3|k9oi)8^$2X<NNh7ESF_kPilgET{
z-_P}VJw%PKZb;5V%hd&b!qV2{&pCwk9PkvF7%)$=MN`8@YSx7XF=eFGt{g<s=l(FG
zAKCs^UGT$>d9#ne7n_wEch~s6E8UT}qi|EgI0i{S_lM-+iV->w*6%6OFDrS{Dy8@u
z(9v#PeuCd-sm3C0Pt;3dZrNA!UKE*GiRbVAMY6{2JY;1N%&LhN78d?RDf5vu&NO}}
z3JSj?PVe@Wb>V;U^cJ221p3WsM?&USENPXzs-$PU5>c#K&!H1Lkd=b=P{%pWD7d!V
zM(6+&iOnE{Q54N3L^cL?P%OSwVUjQECw)$ic2ROo(z2GHX;HDipFjM2Ild4^R^npE
zi23wr<K9+-ffIyWxNB)PO}u}0g;?#W%SzGWPcCG)+~eg=wpVu0ztjI~d~r<<6h*$7
zYEkH}$J~<fsPo(}^mub{e0DV$6&cGQ3Nrj2s++n^Rr}X7B?n&&!{3Y@Myu2A%S#b(
zr6%(7czNcHXk(bIf>bgU^{cXjq;bg=4K$V`s?45CNp|k~GJk(*;*pVPL50vV2WGE#
zxSl+`ynl?#c+|oYZPV5sJbzZQ>L?gIroJe&YngY{%TPx0L|&=a$i8ZUp&=;D!Za0x
zPOw*zWmJz!Z6Nh?o<r#c(b=!se(j|F8EBIT7~iXwZG-vDL6$A0>Q~)xKXm^Q*wLb1
zas8}?_F$AajPB^fb9SlQeBu8W{fg)m+1YWVo73-Y4NAf9lgX`p#a97i6lm+(0?vhV
z#UYH5NH^B4kp^QmZO2+}_{8W!-M^qfhFLYTp94xWvV@}Q+_kaBSPwR(Co<UPsv9dn
z!gIHU7LiJ+wOM@y{%BAm$>>I_Sd*O6L`o^nkcxW8HBzq^0Wpa$iwEO3sW0Jff7~q$
zy;ysx5S99<Mo)yN!>S75eGk_tMh8eA+njo+$vR+ydvU%jfj6Ku4Tm$-dAM4H+7yLc
zxZekCM&cgJp$M9KK`$)PB_)M>j}sgVqdyMFMn-m4e34l@1Kw6Epzn&;!H3sgo<k9R
z{f*rbVLz-34p4@Qt9XSGnY>p+Y#}Fp<Wo*WQEe#1I!2=2Px2yx@Gq<4<8>YQg1Fo+
z^M$*Lydz^{R-eCm=h|Qmu51Z1WH7FXr6iaH0S34C({hIVy8NzX|GMnj?aj}AO=ef=
zD?1$>@4&UWF@&|pNmo+*>3eZPVHimQIsyYTF5?Z%CB3j;bZ%oWTvf4E{+@{jJ^Qoh
zH=vi7mwVr?N4oqWwxS}4F*Pv(B#2xf??AI-TsHr#zm^N4Lc+q4r~ljp>+mL|x<5om
zWFaFID7#_rWI}PSP8`UkE;p%9k&Gqgzu}tJ4fEOT)+G^n46b1XXEfSIsz2#e#ZiRB
zoaTnMq13#Db(!{cx9$J{3tk?kdDp$GljZ4{bg3mlTW*CtU!vKu?$NI7ogN2Zs4v6{
zX^fdu`@Ig0%MtZ<a~r=y;F_Lp7LzhFV{}*|o*rPEH;Yd4uhzMWmILOt*IG$H((IoZ
zZ{1wlimYvWKQ6*lFNcVW8EI8c)R1xRYHy&XCxh>Hvu|pjwD>wo61JX|eblURyCuLh
zGb<NQ7Pb0()7W&{@$et3T#`IRmtAFh#HaURgvS0j>>al>7Z(?2+w4Ka{Hy-l%*@OY
zr&m1E_57p^*~Cb`I_T7b6?@%;s0yRyt`l%KOYXj%&@_Tn9_b$*C#VxS-)y!kVb{ww
zweiaeA1_sbF}#8_<HakWbg|YzifofCx%gIAiHw(6Wgq(xqJ3b}+qUvA0qwJ#l9SB>
zk=Nh6(8ohN=QDo};=0{6)Yqz3bg}rtC<tstW3DRpo-hGHOMQZApA}AbF!MVelF6FK
zqji2g1!2}CM#w7ontxTASI>}RhkbBso=un@o3RMe>5#G7PDBLa+zhYh<hQTB$umI&
zr+$@HGW+7wv$jToTsOD_{{kP#NT65kiF}XY+D!;Uc3saQgL()UDo9K*E$Tb49tm?q
zK4{L-UIp~l<-z48NTQ<;D$`gRC3VTX#~8!P2t*{o>}oHh@NLC#*s<9Yu<l8z_Rwox
z5bH>H{L7dbQ=DMhTA7gV@HkePT{1`u8h5X~`@PnJp;LPvD2*VevPLo7I5})s=C!(>
z3Z(xN2(3)Z8?e|~>gX`Td!$^bYn)c?)7{h|vNPl#lWdDukG)8U)m(PBVDqX`NYqx)
z<L=W6CCs6?s>p2<z?U@L7=zN)cW(69Ss1Ib{gHYO;p9#CgH@gO9LkEjZ!m_dMu0CQ
z#NW0XC7`jlVG|m8Q@6CVoZW6FY*N15BHbL#hkpM~u=Hv=yB&2340RR|@wfV?4pG9z
zRh~-2;t9~n8ff+oA}R}Ud~5O3jhiuj9|ql4P%+@gJ8d~0CppcpILcMg;p}GLOuSdV
z^Wm@r0R%jYhBw1I#lPZXIU)eO{ot(Um(g-Rd{v9N<aj9lNQRC%71GVrRYD+=lb#;+
z>g0HMHAf-^p2rwVRL;E?{!9n2h1WVH&&rE5V?`vmLt1$4&^oNkR(@iB?l+&~^w|(&
z@Ka|HR#G5V87<m+7B9#<TorkBUF)j-nhij8oQ(Ev!E1o<&&f8%-}bgQymkxgZU~$=
zOK%OF=Pc67qFrB9`xFDD3Dpb@<K!s=@LnEw#U~a%Mo-(;Q%EcQ+iPIcNmT;#*R$|u
z@GZQr@OZNa{eiJQqScGC#gg;PD@HxW)gN!Tz`jx;b?x+{cW>$KZR@8!axL8FAEP2b
zrS(}C`P)x_6Dh48PwsWp=0D!myd2qrL9TN>E+*o??bo!!?iSqrxGt=AJME%Qxo1>K
zs4D)%^DpoDpLHPt^4gPBb3}+6SA0LbLgRa|VAzWe*}>=+YLhPQVVi`9&5k~GQYQ)r
zokd~d_+)d_v?xhNt3|!}?z4<LAC?p<0y*7gn>NU0AGfZ_Mp^7rMw>@4wf2O6`p7*0
z@3({n7_7#~z=yt{!}Qr-)E9RBsTZb35f>&FY%TSxtRFt$*(d0NK-C%6B>}Fr@(lqU
zQ&K~2E@H>~J7oD(%C!dAI~z$?YS`Q}_=`4|P|jByB%*M7F$v?Csi#~vgIDBM6`gi)
z-DxGC@sC0Cm@p|3a-U=sN1O!x)8f%N)AjoXuc38uIET8?gKR1EYU~4o!vgIlLDh!p
z1DLvaicGcy0nCWyq<Q<trhe9%&>IcHU2X%GhuGV`SkEuyt69V6@bP5t5vhJk-@jiN
z%4~G2Ah9RgUCNBV6;|$lXoThYj52JEe2`d3FRX5l4kX59Ci+P*n5w$>i7<dpPFVK}
zVvQQWk~~)_b^UT2HV^v!D4rEJa&80&HD8?^*sN>aPjK~^*8)NthKvqEN{{>?as64z
zX8oDs0l4{?gmT%2Ut@wYF|q^CNOE?5Of58r*?;X^98`8=0NXc0f$KTGKH@!xY!sqt
zPoHuv!=H}SN7&x?MOU_m?FM$B1^JIwKIz~jXzV%X6aGFr5=wJ-{nIV(D5?bJo<gcz
z?NW9@jp|nP$*VMMB}fpvf1l%bBIqqbaZH_)kr91Z(Te$RSrjX$b1Ad`+p1Br^FFlW
zZN+aYFf<i}xm|9KPcV3OYTXI1<U}i;HhJLx?4nm*p<tuSRBy<C7!SxJy{o-&S+BH`
zDiIfCkr0{e2ho-a;0Mfz?%AVLwdz#=da+UX3)fy>kN@h5?y0dH{$wbc_WN~XN|sES
zP87&CUC-*fY=6`4Hd9oNmU@-0!V}Px4%VdKPp39HbIn2JjvlsuNub|uoH7);IuhKF
ziDKL{%F&Vayab+NFErfH_?ht$EO#O!PL(`F*eMccb%v}Y`sTeLZG=(m<$pqE?|kHX
zg<?T#uf9Dw9+H`rKWJ!Z^;LB>HN9IrV%g3f=X^TZa?`iO4W6>$25Au1w4a0Nm=Rk|
zw2x|Zvw}#$)%#bj0gWM0aa!*5=@NV87>LFpHSg@6IbVsI$_+gz4lbBYe1Fr>F(SGs
zgXpK(=vOrTL8>Aq_4zxkREAc!?aVNpJsB2)BvUF;UGlZX@f(T^1^|^J^0BX{xNbhB
zN}x8l(8b^78n8cuqnOn=_p{&TLSOFg*zqHUbWclrR%YtGqAB!4S(1ANJ1Ah!a6e00
zHSO?FIoW2vA2v2^(H@clJCcfk*DM}F$y)G-c=ut;R%5H?My^LlR<_N)r_FZSTk|Rw
z%P_SkPev5!=0c7d!2U?T{Oj~PZp~iU21}BCSKK`|(@UD^+4H+8I5iFQ<$4jM0I^+W
z{!qW7z+eXwKJ<*p=nt`JNmIe0T1G)~qPv$1>I4#R!Z<zv#<W#uw=O~)Zr3X2a4^C-
z_e-oyO%{mk_mX-#0l(=i-nNxy=~5cor$Yv(xL)D-ftXS1GBr}p?Y@z{@dTQ@EFW{=
zoh(mSnf2*6+AyKetPfz5c+zjf2+XcmABCE~pi}|}{xnr4=%TWZE~C5>M%$X?<NLvL
zg=nTf$(MEmjEri50ipnssv1+ed%2<Y1giwIAG-_1T~<<bd07RxQLo5tcXzk2#A>{P
zD5lSZE8TgJK6PzY->L7lMZj;8OzNMbFG8xS8LsP(r$vqie7j=RX202<o(Eub%>J$W
z?;kN1#%RX+lq;<#YJlICcAY+1{RiECo!)5Fs>oA89Hh;=l)2^$V6UUDom4#+DF1NC
z2L_Bvz*^A*rrF_#@&PulyrV|#u068nWAD7axDvL2Hvs3ZhgGqP&7+`FRD>zFB!l<6
z+0OMyXVdJM-KS9|kKO2L>g4kKlIx%Ut>fk8P)w%RUWmT(#+7JN$EG*w>FGVzO#gZ&
z$Yk!9_Wbvlu0(7@3b_c2d5{Vy#M>~Ik?XGC_>x0!yLc=TVw8Gu$^A8^iQ~nS8@I8>
zXvPmC=|`h;;Fhf)cy)70rl|B2wK8J&`4hffnZ1(Jq_O?5?x{;je9R}ivtv=-xi1Tm
zt8*Q=*=9<WnQvm(Z_O73$zNhLXAbLi0><PZ-%5V#BqFq{VFmRAv^48!$zo}o!r<nX
zL{Tg6BTtpqr}|Mu$DLY_`IdYS%hP!6X3ygA=^h<+)5jOfU&F9={n#vQnD}ys4qOm$
z%;AIzR#!ZYo?ip3B`eP|G!QBDBhVPwcB&cOcv8dZHD-3Ug}!AqvIg6<xYg{>pWq*S
zK!UejG5h|DD@s<?XjxwMp;E=LaB$I3HW_M7ItrJ0f2XAhVl02uB3+IBQ!*&nBK+h(
z)nr}ZOp9k*%a7vD4Y;~jz>ilf_Bszz^_2#v@<Nl`d(C)hikLIdd*2EIoU0PtD}^PV
zVq*3zJE5$digJGQY?aAw<CH@8r25A@1=QlIxm4rbT3wg(?ES=tZ@Z<X{tAWIAIOZ<
z#HRs9a)Ej?TV}1FOtYS}1uA9++c#8qCF6K0iybizOg#5F9jVby_B=S@)oBF$7tyCH
zP9sY4NhjJzgE2WQ8E72_Ei4QK$akU!|DKXe3#um;mAaf|3<=nYWZY|1(a>amRv+b|
z9K9cJo7nQA1yGG2_OH+V;=ub@Y_)b&`F&$V3Iz1Gmq+K=tA6dE@fXb8B!r;?EEbVQ
zKR)LvJsgcAi2{5%@IZ!132^OG^_^CY=yKyDog#4cqOo7UN(KH-U2MYI@o#>o+2>hz
zbRc;eFDKJRO+*f|P#uuz+n|Z<G=pClK~yHJ`4I1NMiRhKNO1~xJ2b$%=RAUk6>2Do
z?vZKC<L!jj5-I>6F0=l+ps~asoeTctzcvXucUM8?Id*pTk+WoT;Uj6EJtjlF-R&Jh
zpg-hS>fOXImM5IIm5jsqM<{D?lkcR3pYwg-15+tq_o@J)awwB9xx{GVu?(Iu2O>qk
z?82&e+W|drWiv^Gyb+~y;>Lj}xC_#=y~_N1)u4w05%7sq91H&vspq8uR&zQrNG`9T
zc8k@m7$cn^L-XV3PbnuScB%Yv&P8ah_=^RG^lSOX6W006v5*t=?%Crh?ds`{V*%Ln
zfgCP-Q7_TuMn=a~9hdueVV;M+u*o>>bxk<qwE&>X$y}VkAStR$3T;iuryu2>#{1x;
z3wG4vK>1V+IoqdR$GR#mW>|9RC-+_tCtSP4Fn*FRnF?TYYqo;;m^g=3y9B5FWMWes
zX%&UcSCUjqgBRhH$+#w|cO8x9<?ox>6@*qC>B4<LpnAyE9wRx-mo}y_OECHP$Tyv0
znQDA>DtXV;(3*yP?`D9f>VpjPL-C+8h?c=dH;ai-6o*qVs*hdE6a0?V<py(xEcmgw
zt|iiAN`E=4r&PDb>s*goFis(KrS;GsNCBoD^J|Tqetwy*6&Thn#I$vdXBGP%B@~#?
z2E&b1$kemHNLW8FBKxI7+OEq%%EM!!C{$`LDBgZ70+L7a7<t=AUYbgtLxXvur2k<b
z_CumJGOMPsX0Mu}-Ysj#XvNjc!NuqV=KwytyL_;FQ@$*;ALZJec6uuA4WJsW16ev5
z?vLk<wn#P({vD<uO5#@s)=;N>A1r?)Aw%>WtVSQ7pUQSt`c0k_M7wLDzH(<Ng15d|
zHp$>#GTmQ8^x=DCuv#qfYg5QKh61aFR|~0?#o2LtfY99WDiBh$iK|2muliIe(g_dv
zbd1y?=v#kt7pf2a?hYL^<0^fN1{+dZjvaT-*xEWS!eqGGzs#&Yr@!+>?g_?lD4MiF
zyYLbBF<tx&keDusJ&%%+qTGwbqWrVe>^3nm;j$#SpvmU-TGDKWJM<!_JUvSupIYBn
z&x?nHvGi+DI+ulYJSxUVD5WYtY~Gf{hY?scze*0{D=YCMBg+4z2y0tgsrPtNJS3v8
zPIVdYcB8iQKcr2sS<AT(Upo&1ffvfgd_7(T1ksrujsK`0iHYO<SFZ?+@b$W?=rtYz
zs~%5VcM!)v#RQE_!5-m%Y|h~DFtPEcKyiD%MXP7iKzJJ)n^*1Z=gsNE>WkPb9~hx6
zg6Usv@u5tG_SsP0?{Bw=;8oGmpDGA2peUoQ5lozwp|O?ttHo%c$BFbVgy9rc<sAN|
zCcRKy;nJgrXQ3graWW@R<s?wC#27hs@vnU5<*b(P9|EgEPlbt{)}ProN40KuKIyVh
z*M^>+0s>(}WpM_O$RX<Zj{Ye~ivwV7zv;haG5OtBvdiekGVuxSi%%O%R<{@Uf+$DB
zI`#NQg&JX3vu}~-?oJL=GF&%^DV;9G8Nc(UVl(#bJ!;bzSDlRtz6$di2kQrONz=wF
zuS?T~>Fj0^(0gT4Z^(ByYnMTag=hZ-RZ&_2exdxd=z86bZ}41$ZN&FJWVI&Ho7ABW
zZkx<~dF+!7AHU0HV-HtDoU~+tQ=jl9VGloInr%|1#e>#|NR?>U?H}YBkDg$%hVPkk
zC4-gr*=2*ca&F~6m(ZolCI$o1Z9v5tPnAQO8ILU{B^CSM%{Ti*pNrl_NQoJE6f-=8
z)^M*8G7~qnv?r`bgVq;XeK)ieciY)ODMx6Nr$sa|Vs8c+d@5hNnP$ZZTu89rt*|f&
zyx;#DUNv(hLKxh&!2<lGfcNfRg8jpXp7owc-1%*$o;IJ$Iu>vFv#D313@=XZ6^gz_
zv%d;IFrE&6RYt6y_DAD?csGB{6w+lv)bU?owL1v;-F?J!59Kp9d)wLDj{BL)jb*P@
zO<CRekf7O-FI|pZ=?E4)4L1YC?a)zbQ6aG?_ezD_{mpJI21w2Ff)R)z6Z{7|jq&ic
zACNO&U~tI*R3{{!I=@CCNM$95+hfkKg<PKzPD6h#t6D5Xyuv_0HOQF+_5USbF%u|<
zDs9NJ53ydg1$nOoCj>mXKk6qxvtt_N5Bd~s`58Nb^1t0y@wS^J6Pa2HKpTuI#ttJl
zr+h99V2ipe#WdfpV0Y=Q^x63BB1kbwyA3;3qd2~WBb+gI_;_6B80d)w@v>V!m1KRq
zf=hDDe{E?INLU%@$zlgm+=ujTmW{ibIbjz9`4;oB=4Tg%T^k#_aNA4#@o-#*OU6(!
z8kGia)Rcf}7D`6OC{Qd7Bi6K`(q-(g5Bi_GzSbV_G*@IY5LbJTZ54pj5KbG<^ga%5
zihbk*M-xad&NdFiI;ui1s~06|KPM+mdq~>mLTGPb{%HMt+zC8E$>)2f#@ZHOy`aX_
zhjvk_T^sSg&^r`_TLm3~WXA(L+ijNbk?PF}6-*#%(uulM(`2Bs8Noosf#l^ERDC6u
z*Dv2VZ|@CT_B#Jo>5qWRp!{1?+c2D%8$`v#w4dh7zv6996ZtRQ=H;C=OLyZAPtVNc
zx3`nOQUwX(&jJ)dkLTtMbNlWGAr=3b<orcp4=!M?!ceElnOY=A@@JntA1yaGuH2^L
zFvkOBf&^8tL~z|Jy-Q`7y6@bxhn)Y)yajkU#vds@cP^&AgZWMEr&d+OyRWD+4&z-`
zt~MEfcSrLXVY#bTo<DNg1791Y=9Lmw)I32I3qlg7GnBF5CmNbB4}BUy$XV*vcr9<o
z-(G6U_DkTG`891j_Sr4&{=uB*1pb<{vG6+<J@rHxUoQ4cSO1Vqgek$2K0YBq$JJL)
zz7tvU2Y91KlWd07R`C3~I@yT70GHCuA3{6jQ?Ddf<CLxuFUqUoK3%>t`fZ9qssKkN
zYK&%x3=}$nPe<O-5j}xGoDQ*aBX^Z+`KdBlsHiA{^yE4@nqvcb^zfXI-F!#ZAv@-o
z1WM4iwKz7RGz2$kD?g<y({4jJ%y5X>Re#irEffvHIjE>1h&qBOS=?PI1)!E&awST$
zHsmJXe{Z-~=$Awu+xl82T>daozgzhM<GJg4QsQ|vqMVHJkOGN<vr5$}H`|U+sAV0v
z26pf{nYYjoVzazEBaQY2L4s&GY56Bb(9#Tp{Vjh8(RMX!R<9i&jYXGVN8EkP@b;mr
zA0v?D1X*;k??G3sg$zaA#H+fq772~~ZrSv`_GT}2zUqSU;|8H~>+*Yc_WqZr)fdyQ
zF9_p@xCdUa^qv6Na%Af(#rqlSwfgy2|H!{4HA?@pH||2@If3^!%9(tuNrpk7^V-}e
zbn)9Rth&yJhX=LKJnn+S8gVz}thYCfS|4)_FK>9OiZ2Lnk=W}@R~L+UD9%h?-NwQE
zZ>29lbaA8dUEiicvTlvUiABocto5dXGiJ)qrroKQPWx}@;86b*ncVR9{Z8o>G{Cf9
zLSKCjMdod!;^GKig@39l(f!21MBah0Ulqqj+yUMcRQW}U@r!h#sR2ba(s#{G6tjH>
zRY?seYZv+@VCZkc9z5cg+s^PY#a!0=;qZa<jF+T_SFR)1iS8=o<l1-LSzx-yAh^#g
zq|fYbV7Hd*z|<vUoS1IZYGN4ALXwT?mjUg5udzyiEI8=-U?v$_A2Vm`nz3eikUg+P
z0y`CxpKPu&OU%IX*SQpI9*<fYoFCx3Hh0nDEyIL6@!w?zNF2UA;C=xvSEX8Zi3p((
z)Z%pfp>VG(m4YoWE8of@5Euz7(0WE#S}B|x%<(0%iTTmA@7vuYl|mi7I^v&2SvfL1
z-e;!7rm!I0Xp^edSKw<NwtR9f!rWdZQa0gXj7xeeYC137x+1M7xIA*#WXmAxM)}es
ze5T!;$Vr0_RkJzUKR)AWaXwon*wYgE5)&jw!ClEFS)BCwhPK`{9at-o%8+SeHqVg8
zYV@#=>V3m2X~p%Mvjq^Yp?p?%Rp|91d5cLQ(>DX=SYLFjcH<sJbn;XU-W=(=L?int
z-BgGqDuz^$W3h!=9PvgRrh{Y=t;^Ez?maC&g^<#j)Xl`E2q;-}@H(IkNc0wxqqIU5
zu*#*a5<JD5blhDExh!Wr8lI){YmQkt3osYVg<B>I`q-h&`QYgiz>l_Dm6wcH&Hw%-
z*prttO7#LcgWr+aO1)@qaoak^Aiqk*A($bSUDI)LtFzovs$9{Wc;XG<1bfcv_W<R<
z9HB-~fN>V1k9hmoFC^~~btIttyi3Z%<>*y}YOQlX&O%o=yKz>X?4%8vv)F9IdCL{@
z1g)l;pc=G{CTF!lj3MY9u0BvXi56kuiO0kKkjwyF#Rymncu$9j5|Ecb#Q7EplT3o{
zotn#1uIZKv^iM&Nm5HP4jC_aE%f>dxwk53>%dzuwBF+;jR>5<J)%i$3eVV5uL-M3*
zSymA}HwtY>JMxQ%24EKJgVR&t3Hp^|ncNJ!vBc%2eiC0Hy3Lf5>fS4+I4k*o=z7bb
zxVA1@v;zTx1PKI};E<p}8+Ug|fZ!6`-QC??Lhyq-jk{|T+=IKj-Oc&Vt-3$n+XX);
zs+w;0+H1`@=8&ma?JSfU1DlaxczEkPq61We{>+N?tA`uCC9vzj2-kPU?(U4#fLiMe
z|A-o@4&8=dJU>tSmhJ_4`EK_#id@~O?TkLY;aZuy!e;r}eh&u{nC%`XTbg7sTz!T9
z5ZP>A=?m}P!l<=*xRN!0yG8TMFU55$xgyV|9><644^Rq#QT$`U?*<v#=xyX?6j}eN
zTpN6ckvEF(TWSwK_0y?*i9cb#U+g#l<w%c#%-sqsWt>M&81h@Me^R=Zm~qI<4P4Eb
zh3c<mWN|)5BRCl7pJgn2@*OSzAK=ts0*<ku=gboigo@T{{I=`53Q`UZ9Q*ANJncRE
zFfJW<88?>t2B-#Won|?Jw-om8BWJQ2GzNGKCo?Qj?1ijsP#SIPdzG5kQ)TP4q4f*V
z6$o=0b&!;dL;2F#M7<_7lZD;RBUd^zP8h^N#2{|ZpC%`tlg?FP?JUo0r1#XDTZ8Rw
z#J-p1T{I^%PHiS2`tKOf60rUu&}=P|IPSXFh6a51x2VTW6**ZsS`NfTdhdRb*WT`W
zy_nV_&A~Zq8SB8a!YTRi=-1U6Cl{X$-u!aNvt8~*d@-U4ravF%2AI?WKahPqcTFPJ
z?pd7QgU6<6J<-9KIw8pwh1u@E8%3VaVtE2<?PSR_2`{Mt;`&-^`OVN_nh9c<nneGs
zc9%iHkZJS!xITAl_R0HaJ2!U%t}PP99K&@qJ)Q#X`h$z%I%Flh1m8BpX9cc_;fvbz
zEnW=l5A1A&x|_Z2ex)Tg6la4NwTXc47o2_JIyd|d(H@?kB%W^8<DCfPd$Zf#OXXh>
z?+ob<Y?pd2XK`efitO{RR+V__Z>$0VYR$TrG-7HU-E3ORRN@-7bu}m9{q`sMX)aG;
zj*D;B0#R3@xmsAy=xDc7ZZ3zti0OqK1f5TQ$^CKHm&x*r06LD7)*J1SR2GEAddu!q
z<E&7YaUM(-<1s?^su3;c<-`F!3Y6B?)({bwDQ>0x>4U4^CE;k&fU`&8)E&mtIA$7q
z-EUWW0vSo{ylCkd<0VCO6Z<zH3%q&*4jw_3vJ<hzr0*&5qXYQafqiqQT-jLbV}hTT
zW6tkZ#9udjLg0yI)M~=wT3#C;0VbpX6s3E#P}gnpw8J-1D3j_3sK%o`o|{*nP}?7t
zPiot(oA#)H3GksZ;e2s_*p6GJaV|lQ01ARR!6c*t!Ke_C<wP6C9x9#*!VIijjL!P#
zPpcA+gM~JAzoDnwO?7LIx}jsup3^)TUcmdr1RhPfDGBu7arm1QK#Fm7zoyNtMmfx9
zIl@%-Dr5{215VnDo$*<KLte;nZGEM?g`DR^Pir*taxyQG>S!l?j{ouq-{q-o7&$I<
z*3|<vaCMG0)(d`_B+r)e%zAy}V<Mf0ImP!PIS*Ah7)Li9Uw^;5-rE2X;(r$h&T>*>
z;PY4fsQVndoM{JCfSI*z7j&MLYO*%Q=a%ftG&n5iN1YeSuJJD#qdc<ZGsESx`hC?{
zutz=(D&@1A-<HWKGs)K}*`I!SvLF!&Df%bamUdGI`_H#K@-p0FqhG@_Ps{}`P&fR|
zB&q1z{6b*UspX%;a@1)kX{?H4X_kz0vX*kO2U!OANjvF`hCxlMFI*uj(+@e$3ru%o
z_7gbxgi|A|3(F+jOd3!fHKCH4l+coW(9yN@*lnfB5S{@j!grQP)Z3Hf`q7+Y<z>$u
z*Z%Gu-QyjdM?-|c-Du85-bMs^SS9PdX@5ePb%?Dxh#|X$DE+01<SN}s@T8XX<UzH=
z0&S!9bNP60uKL85#5PkpZ3u-uD2L|gca_R>Ou4$&XCi7fnPx{p;+>|}<bukgmt95L
zbu3c<)IdFJ$!1(6yhxV7z6gD6@KE3P{oTJZxOxZ=^>tIn$0b<%)4@OaSJu>PgEf9X
zmgoDrd!JFv8|U>(b9*T20m|p29Nt!s7DBskQvxhdK7=hwaILbj>Z#lO9OVwf?)B+C
zGa{UG#$au;j@svkpQUC$W3vdP_iE0ixXp`R%&sWo<P>RHaE~#+Vn4f_nG5g33ZzHd
zUk$AwrtuU<Bo1vL(_5~N@}Soft~AKZ^EBwHtSF1Y&N{Dzbm}Vt+y;^@fscH&e5<BQ
zSaP^x&3LrA)y%GYcLP}(K}6%T>mALb-Cw+94qfsQdF9)XGkYUivX?;Of<vcL+2~Zw
zh<FBHtJYRTX|xnVo*2L98i{tFhLK=C=#+Ff1v_;bvix3auLuTnc)C!&&T(=Dcqcx7
z2zsnR5UxNivmh$i>hJdbcI2`?rsX3Ty+opod@vx-IJGixA^isAc)~%{yx!mQ{Ef)P
zc#jG<!cFsXO>>T~*B&5Da`K+tm8IE*P3}quOIr73MWR5`?8-Hhn+L@1A3K);MPNg~
zy8Ls<h~xJK+^<(o)I_CYBf7koLllroiL7}z5H1rcG?_~4?VuPxG+r`4^lJExZl1p$
zIM~y_wjIn7LIi?g;6Dsn6Gsvs87e>&9FhAu$r7*TE>N(S-ONGY$k-C7rV?!ZBoAkl
z;r_0JbgA`@tSnNEgs<&WfEu0t>zq<`L^r{YQ9mez4%t*w{(g<}!|s)y>#Y9KMTu0s
zG*?NpMD+HL)J}RDO?~m|IW~*Eo*Mo+Up1_h)9{NmJdMy&^k`b6+YkNN&oNzeRX4vl
z=R<ZhsLWUQt~M)#)$L-V6)7Km9c|jz&~%NtJ-JMeOrl$6uHm!%CCU)q3Xx(3yv<Y?
z>DgU(7yjBn3jep}rT`gE<_GQv<Faj+$DilEFl<YVRXotydWW%fDP~p_P(YOyQ#jnW
z?`0GpGueuTl^{k#MzUVbq0?s9C=(7->$#Ak3DQ}1Yg^m)=4GA+YdNDN)_6JXh8e0L
zp|<Q1d)&;W^1&(N!I9XxV6}jsq8ul1!Ofd7EvxjdO7Sn#Lkb(csjSpJ#$%YwH9iI|
zR+Lxc>Fu&+IJNd9MEe9S#wbQ%$`V+7X9V{E*OvR%qivnQ3+0uLYu$1tCiI|kdpS{U
zc}kU{ZAenEb(ZrWfU~dTg;gc-Hqh7`gJo<KSDUueWP$5;gSw7}dEL<R!Ts#fnO}et
zw|8za`IE8W)~VEMRnzY)|0wYCO36Jxw|iVi^9KBrxN-zbfpI8~mIH>-Xj<TCItN<C
zFB_=|jRT=kZpV;-O^#6DaQLTTzjC9>6PPv8CJ$(@mm8sZ@$QK}x-MY$dzQA{^OfGN
zEQY{84QROFLHkAtwGlg3R$Bs{ah@>PhG)=LaRsa`N%mKGc{agBE;Vm7NVq|}KFm1D
zLvEwmOU%dbf$v*yAE(*(YxCBn!V^S&aU}9Wop&VkeZOD3bjh<&+8gfUMp(dygyb}r
z<msLBk}U#5%c+p2`%&F1ORu`7Cc2maDX`L@AC(TECd%`iz1`p6M-T61vfq}`1SqE2
z4iee4BND~_)22Nw$a}4A{mP%}2GPSx4D(~+GLuBwC$3`-31@KhsuN+jP1|9u+)krp
z&0-yzgd|D!QK35UT3GDD=pVmBqqNp3M3$Caj-%dJQsKq2P`!_m`SJ)$%Bp&YZgK#7
z$u;t_Zm1@X^ZUzNEH(JOlcIIu{qbM@`$>YB-4Ibf=SqRmW+8v;8*}ex;>T7mHE3z&
z!cB*#4Vu@3u+p__A3tfuQV??6j}UKmXpQGDcZJpI)Tp#f(c5isDUSC*H`wF`Ez4fD
zgn;Dn=JQ+}3JuYYfK(EmwG$VU!Yr)LBFMpQtvXvp|GE~}3FS1Wz1_Q#F;g&D>nU)c
z-p+H#lGXIl_Dju?Bctd0l@-uPG5g^no(NPMdmbzly`8YA*t{mau*0@&NXgaW|Hkp*
z-fj~5EdpxcHp4BO_xq*~P@*WT%35h=cR4BI?0Ja4*_+=*1?$Q8y-5>+M{*rLMGlZ;
z`sSqWJcF3J!pXKvFz7UcI&Z%KmHq6d`=MAZT>x_Mu%(eSIn3t=lW5g&&hzwS>xv=d
z5q+1PNmry#vvGwTezEUmMi8DpLeM=Bnn@I~w0lApZcrZM{iy&vU=;Ov)A35CHO96~
z&MC}e%|dA%jbm(f^WID8jHTLesFhm8$zoY>=4~Y>n1uXmGX)Vda(>F_(XY&hU4`5X
zIy2}kmn@%>0wSnSW^0GLdFw$v9^F+}5>InAWEL&3XC0G&;smlo?6E<x+Ck*J<V&69
z0`rOhYI~fCf&i;C3@X{QfYMUByu!k6{i<IL4LH2Kyqq4lOiss3p}ICU{=NFlDk>^#
zs_pk5%OTroJsF8zl7eIJsK@RrVvClSBFDHm(wrQG3uil1Vj~VOs6L&<(WY?i<g!;K
z`TMW)n1)k(Y&PeTGBGs*^dhf6ZO@Zr%pfK+qpu9N|BS%D)%XEwC5|dq4*C-+u4Kx^
z@M495YH=v+o=Ng;5gvUSqC0H&YuAtY_Ak90R;2WENLGp2sooE_=QHJP(wnuVw_1F)
zEno-YdkhvOJuRCht<S*d)P$3?u+h&ChUa?D;9pMLX*b%&q&SJFvN9$<KK{hS1e0N0
zs+z?qPSd1GPauwVNQLK-Ip@ui{WqbsaS-7iHr>4&CAMel2Uv_Y*|H-VoFAU7EhR<<
zj3{D6cI8<&u_sYM=E*vUpwoA9dh^(QcXE~9e-3#5><CxZy&qF&(Hr97b8n^`4U%sE
z79!o=O9DS$cNUpXW4?=E{ZRiM;8sR7|J=7FLI7d&dDdJyr^Z{)85|kPJ{O!10q@@f
zhN5Sf7x0FA)ek`PrK^m`iA%Lx@c}u5h_o~^KuKJ`d3e=O0QW6|h#MQIEc=1MMDXaD
z7neaaH=0pOl^t5E{IC?@UqlwUFfY$#9sID12NmPqom?W){ThDpb#L@R>A_I49~0lh
zq{+<!G?Qzk!I<?tZ`A{mxqtS+J)%<K`dP7xkA}HmI4|+7++v&HAg-&Eda5(h6W7@k
zuROaOhH+2qywbfjZ=1)KcxQ#_MGnJc*u7r!*WhaAJuygkX9d-QX}@xln$l+bJr!ov
z0XSH!lfX;o%U%y*$zu{PL!f<Qeeh~#s$9X^mgQ(si_2TPFglPQ6LQx5;(e-$p&Op}
zT7-0xERkD`*K>Ajp4af#yI&_qEWfVDfmQj40Po$?*uoxgpE)48jYilSliypdB?q%f
zi@}qPY#MaN8u!C_Ha>8|c=*y)nE^8(1QPw0+N_89kCGrx)vg3*=%6UdsNG)-QbrUy
z$GpK-%EOTv8ga+GvGq2r)~;plTmRz>dnXAl4eq;*vei+rg!~67nBXmqTq_^%iuwK?
zeuK{`_Uj8sGkD%rdewO(m<6ozA%1h%n`%98>3t4uwO2*CR`j>E-LGKp5VkURT8aiW
z0Nbj^d)$IG>`^<==^xT(pDQ$*mDOG1!ok5}yPSN};-y)}KQ$(kKjFC9Amj{He}-X~
zk_YPr|Ka_utbH6R($ziF7flj<w$Z<lzWQkNyZQTV!kX!EaG~o&Iq$QEafb<iRhR?^
zuk&#*R8lJFnUpFsKJs9OF#BRD^lw-p!;?xBCbIa%)mYX#0q~@F9OwL<_{f?k$I$oj
zpe^T#DEnA(eJXg;wD+*V>-W>qdBzfw{cC%rRRpk&{=Ev{I8>?8v3sxtiU7MY2`w!x
z&E070ghtr_fpjxu8aHmC02!})1b$)k>u4>1g>~|jWxiT5xse!wX}(q?BN?^VJeNSa
zwRecMkG?JLSqezObfYobEUkPHwez?lx}?pv=Q|pReO;3}&(4C~Q<JKaMlw%Us1rFn
z_F|G<KnJBl9#t_-O`y4MfKx^)M>%uqQ}Ed1$-$0UbydWU7M)>^{oN+VR*7_j*?F4P
z!g4R2(<1)nWjO?|HeYUZ&E>w^fm3r;?epHqXTyQtDU>!B*BEJ~(y=>CKVcsZGKX9n
zD5kvdij$9y$$BO#Q%;f4W%7A>3<@8u);|8upc6Xh^Vj|A7#VvLJm+l377bRQstsq{
zjT^di{9{+qQ!v%CVc#EE7CI8I!@s#>&^Mq?AWk*;{bk53sIvE~tI$rgo^4_SYVQ^<
zdU@a<!-ZT+s`6m&PtjAY$xatG4AJ&C8Cz+OCCTM+4q~JKOc`3IJmi)|Ut3Jxz<}_Z
zciov<Q+8Ty32tnA)gXMr<(Zy@yLenO^Lf!y-irb5!dlV*0crmtcfF)tL`R1tE}kD>
z_V?-8|DT_Z_YkKLB$>~S`qJskkbUYmi%+_V3))&T_|D2Y#Z(;bDMaO_6&W8(EnteP
z(%jCo;0b8=tL`l0qBMSWMZ(C=&|xJsR_hn$T}Z)(vtdy-v${Id3s1yNZ7L+&s`DH#
zsRUKl!7H=53Og6)#amN5epVWJez!M0zgHUkEW)<u4N}wWQK*UO*psvUdbn*#%7XwJ
zB18d<B+hP!HBxX3DI^(S;*EbcC(`G&ix<ZKQ|2&`<1LT0E_7FH#~e*gBfB5_yu$eB
z5Svz}>Q)>Aw5cG3^hUJbZ^qKA;xF*3Y?lqNQ$J6`aaz~256v%1;2<b%q1UcVTHweS
zc>iRK;j+@ENT=^vplBmIR!vtR?9-r1&$oErl|}PW=KY(f{y$%$=^Z~*K+4U68hVvn
zWc<~~F4@2R`i*>~`JlR@ry@#|c|X<vNAjND3OWezm3EBc6+TgqiA*mFvxH1{+G8FR
zC+7`4R89?_&eX#zT^Cr5<v5l~LopuG(}&GXwFpLC`#A4ga)U062J!~?OOdD)UEEi3
zCHv>Z;{9xUKK&#)yI1t=_6!49>;IqX<(LW1OEtOzrAA`v?L^h?L)P47akL}r2p45D
zWfDVn_Ntj`(NmXkJo;Joie=fMMQs`RKPOS@#e)bQ0M#-r=KLU0OlfcBjgr5H+t#7O
zl)Z#tIr_e=4pWw-f`@J0!t6|yS`RMup0jmA!pj}Roifu+r-14PIl(a0U*&QtIF<h3
z?^iIQbYePjV;zH1%z=h9+x)NO;<3BEy!U8slD6S++%w0CHN*2$xLOKXf<x{Gyu26j
zpAD_=9jJGnkl{*+TE|3(ytY;*<D$TlH02*iDK%od{Rp&(=M9!kNb~Xcsg6u>=opXn
zvo!Wm@9Nhud1fModN)G?xmwA$oc&9Qc(w&dX-^i08w-{GDlMfgYa(RE6w6XqwvK&v
zl@C=vbr55(ow1P@r5eV-CmUs$F&ify<(*!lC`851edn}ow|prih@-_J`%a@|qXvw0
zBf9SKTPUv+C8wMdB*IcuV?}bKkr!ycmPKxyY;G<+ZD^mSK*AUOuzg78`ghgTaJyNx
zUS`{+k7Q;ulOAvms{Yd0zZi((Swi3vIgaP52A%&dkF>JN0W8bVvW_Q+xX|iEKOlUi
z&i1go4f@}vii9W%07PtTY`4(lwt&~&9U!m~)ISx-rcbPT+fDhtRyDwOO&p`ZcmoI!
zm)uWUT^`T+F;Ih<^}62DX*FFIv5nc=*-b1jM*`&R&6`5<C>Kby>p3;k9DQTHUF-F7
z?l=3qdX9*>yg^3xDo_{Xt`t;nu?Q%^TsI`Zs#o#V?O(l{sYr^wz1~{a#UVAf*aTCB
zJKVf$*5urdKFO#UWGS4AZ&?ui=e+bWH~IbI#J7J2BQ5i~tkYZM%w}<@BIoh)=Jm9Z
zqUVVVoDcUIQjr*|fepbDv(*XtZN)hx^($M7K5iO<#XFmf->EPl_M5mL{QT+WfO2uh
z%(^7eRI{qUp=uZ0>i(N5onT9!4HNsKB@zawwJL1KXcwSFhWH;vJPE%9aoohM)D1;l
zy+cH4LyrMv+RP)d`GP?8R!Zx71kv-VV;h`l8<@kV+*LD8IyBhvZUXFkS2Ammc@3A0
zA||*_tUFE&YDc=GYJ^9O&5=apz013RcL@y;G<`ouvL_+2ls^rF=4Ch|Z>pSf7;}P}
zb2XzJ&|Alsg}U-|3(<*m6I;&=guKJ4Px&ygKCp(uMT2z3>5+Rj4bR|)^$NfpTgl`f
znwnkE@Kn1X3(CE14tlN?cyO2khuu;<iWMY|4bM`p5bAe`p2Dv){neLe=ffok=Ee4C
zcez%x4M3RHzrWmbx!X#vvR>s=`Sxx7Rr_%<#yvSdkC>~NAOD}ST9M+?bpPhzto6hb
z?Nzk$d$Lm}uSyN&6@UGxs>z%;CW@n#FhKh6%AxUKh@C*V2Yimrc^*%@K|T=?C_q);
zVOB?mAKA5Wru*OoZQI(~YP^I>S2^rKMNnTSgusl@J~UwA-{mSCjJgi!TzfK|R}lRL
z>*dSTs$lqmuDi;7mVq-<j^|>8h4ZB4;)CPu_}i$tiT1|7@F_$_wJxR{KQibSGtgXd
z8Ck)hdivfAl_K$snJrq-`GrxKPx@5|%p-Jd6Jc63A<#|ZcSGC=0L~LxT(VV#IL#rX
zSbkwb9a*d{26-o<98=%l`h?<-mn=iDw4L=qa_3w#D_ff8b4^|Jk*46n4ZNS7Z#YYJ
z%AJ|jhof<{nXFOf!T~(M$8mJT_M*>D_S%Uh;3)3za@?38$4)MFhiz7Jt9<<GQG)Qq
z^^85L2tmno-__}Zp?hJsU~|DYn#0MX-`>9VH5Mm_*#plJPWu7Pfe}B2*y|LOG!@^I
za%ZR!QbMwhMy%8eJ@HpR+Hstx+@o{ven}perQ6m2P+z1ifr=B(;_4nYmtE(7Z6J?l
zIb1-jK1g99eIhXyIo4y(G(DtF&}-owgi`K1DI@MT_hupSDBe)~Ei<yF`sa2`mVr9w
zVfIavkc}uf2s}9OvLR%gVRj~M=p?|xd6MY?dNaU>T}%$n%0kWZPtj7U9fkF&N^+<3
z#`Z)I(Qvo%Y|6vLWxOq5^~SB=zR5k_c`38lMHCXU+`YQGs#K$E1Zd)X=S&DbHDg@J
z8Vy#j&Bpqf%V{8^#~a{BqTkg2It~HMZGQmapMpYvP3=XcYWC?et(7+)ceUQEAV>H6
zzbdLj3I9`4?|eYaU#fs?<MTWm*0>x)c5Hx^Oj2VBke%%8zD9_V!^6Wz&0jloVGOnI
z-n9Fz81)M8JSsmNzn>K;KB7P{J)h-P$K4DgH2U~pJY^wi{DaHU14Ai|k2H#UoGiGX
zM}ti?-WtDEFn-nSr|b?^c*d56H^JQ`GX%wyn<G4R1s}$4S1vVB{mAR$nljB}h7dZ7
znIRiDrgJkoYj|d?4>*Z&eTw+$P)?}rToj+<u5VO-aUmJ_a?pVyX)MGy3a_7oT@iC<
zrBSH4$TQm4HbtMHER%-^OkoKp*5sx)uf3Eqlao)Nn_SsE!R}dWX}1Ai{{Vh}da&G3
zk&iunG3}_=aZ)p(bsbZZyxa|g4mA?4)EqHE@4-bC@p#T6kzDKCEBgBIUJTF^&;&Sf
z6?`D-S$~El;5Sd{p-MLKR|vjw^M`~@_UN6>f<*Ss$+qU==G%yOQ(-VVfx2ClwsuM@
zKRvR|RWyq<lN30&X->G$;Pl9ZeDQAII#YAc3anD5(~}K8j(s*vz?@~m-vMup7e-C?
z8i>7}3TL1|<7)L|Z8hiLk>wfRQ~}r4v`hZ_!=I5=G#=eYvRq7a^OiKndiPZgh7sOt
zb5Pds7hooH87-1qpXVs-rX0Oes(~x$l{;X+Gu8_T)Zmkc17Fqhsyd!*02z%H;GdFs
zpnJ8GfWcs4uZn+ZC%<eSC0uwfb(ul{T^TkYDEn<BJw80#4YaL_N=kkvtYPm7*ma-o
zJ5fvl*+L2S{<Uid#*pXIR71CJ!`hJ24BqN~95PqPe7BNpUd2~9j%CeUne2+gT<SUr
zNO;!lO6B1e7jvZcwj3<2#2KeN+kj)=B5K@F{l}_hPfQ)?<``i4aqR5AtIo%qTzkFF
z=hoeHzu85mZhE-Lh;^tIGw!xOZ&a_oIQkbIq{|WaCN1kn;o!=<J?k@`H^0WlQCxWi
zql|?<jJ_HF1Gop4Gk&bTXOrK)wWP~ZTu*Ra%49h2U)ClTztkM79PH&VTh$k9?05^k
zi;WTR?*Et`dM}wvMMRhubY%~YtrFiJABBBfj2~^Y;C<B0n|sqSIbeGe{R^Q@VHJM+
zO{zY-+q@1_YX8|L5^LoMlQiCXj}SdALh;71UjV>0iuXu?#izlLfwirz%@1(zdE_hB
zQ|wnEYur9byz%-Z%&Dq}>Y(?G!7_AUH1_u%-rWRVlB=ilDmoT#><?j7O-1?zD#;Ex
zL_n_L2+i&TJr(o>_Nc1~FX}m^l3h_J0v<hF_>F+XY3=w6ld{1aW=E6sOX=&vST|i5
zF=EN`es+Dl$bRYJy;<_#-#4qRtzDZp&YmVd755Ux!p8o4+<YQ;iT=NJ!spCs>Z<w*
z{4N0#Xtj1P-WAs!B8%mwk9Bo*@8JCh#>V>o_J*J7yj<xFjEoSrvHZ8=82rtnR?22E
zM%@O6iXPqLcu)&%+#?Jgo&Min@{3!Q(#dk9`ixYIsTv;C(!t{lQ$NZ-6+?&_O|RkZ
z*wQjA<7gXZbi=4-UH7W+t7FO1V;EFd)hc}wZa4{wcO7BrqVzf5QfB(3d+cpuxoxBe
z-XC8KZ*6it<L<R=l|{f*;z_WzEsWqFZ_!>#A%I$A5JhEv8GQU4-bh}pdK2Efd&O@c
zl1UZbYgSG_Pqx>xGRAE9j`*ZZTd4w}shTnqi<@>j97%oR=RAWL!)3}*oZLM4Dh)7p
zqkccC$q_DFpeO4$+tf(mH~mJ^F`;bPu8Km3${I7tOONlM@dlVcodhsOZ^(f=o(fKE
z&Tb)ge`AXhJw;etWMUVhNi_OZj*BCX{xmebWf9D=K(%3i$9e;4>7ygy%qsHWdbf4q
zUm9-u8{foOM9_kNmP<dG*32JWG^RBJb5%!1IkZrM-SI8L+!#~GMmTG8nIwBQgh)t<
zlw)T?yQ8iecME)IO)*VWi(K#~d~J(3X1UBFb!lUrqVu3Vtsu9f6AQ=<_<+edO+<W|
z8Fs(9ix-I5jR@`qjsy1}V^06wK;__9VZD0w+xhwVMu6OUwq!rvxp9V4k@vq1A;u<S
z0@m|yPw4L6UT6FB6{Du-)ikgKdVsPeAeh7p*V5856hHUBV}*%xy|OMS2)^a<eAs0#
zKe^Iq6d%Zjpf?@4+?%qU|CziFm1gWsVK(@{wmr@o6;LMYdW-<nzBUi0)DO^sQ6-J|
zsOwVW1Jl`2hZscWgRO~d9)j+<u+rMW@av7>6|gE4;<U~sE5{5iKZu0#&Eq5?d&yKz
zS*@VwJ$<J;h8`wbn*8Q<xBGl0EY$m+*#Z?ryeRB`&Oz167$IIciEldoaM9Nr_gwUK
z;kmGo&7@i~r6JQZFfM9&0Fst2rQ`dV#Gb09QErUEcx)Z_P{=kheTc*CJexg>a?isS
z>F6}QNzFp6)|Qy(Q#5@^3j699>R3fva=nU1i3JNbOBvkT8pj2}a`AiAWGaLj!{*k`
ze#qAu;;rB&;Tb`G%le#HlyPJ*ST0w7rMc-H!h&k&lhGcg1w`@A>7&F)i{X5p69G!g
zn)~ly;q1wNC;gPfIxUy>(BbXv;Vm^$_r~(94J^i9-6jvKZL27jy0D#zs*r0Nt@cAG
zMNn<%1~c~AJsQXG1w#;AUqGpCAL>|hu?`=Y`BMI}>Ro|NMl8==Q^fmsQbLWHE*@2L
z??D~i;K~M+p;#Z1VB$vMz%t5r)ER08jg7dkM@yA{FOq|U!`fLtNk34lzG+^Ll1*n{
zZ-04cXZCt@i68`jcy-yRayt4!!Fl<gzlMEufKiyVtZeVqtWLCXwkI}V8sqYGHEX+Q
z+3?CInVz0@0i3`qbvt1;x3~Y+FIsg2-Y@GnUl_&zU6O&AqFpS#MDNqtExV){TLY4H
zyzm}wPDpqf<q*<GgKEb42$HqkXc<~BmGbiQ-%m{$6NuB?*stDxmO*7HKx93g`lg&;
zug@G?bAf77EzzrSX&0iDo1L-$7Qyt$eWf)aGQ)08if&}paYtT1CjkYsm^U17S!N!R
z`k^s`dZQAbp=BjTHD2fDv)BAjGcM})EYjdi`XR2O!RT+XUN6VH0A0|U?Sd6js58du
zJbZhV_NWBgy#gaN18Fe?M_3zi33vB&vDF~m-90QCVnV@FVC#~VtkS`G7BGi0G+p%L
zCX%Qfv1@Vxj4?zyUO8}r9b|IwQ79sylByMbhC;C)lrh@UBaCYITT)iIqPT33{)uRL
zOo%<mmYhu;2Yg>fJ~M=#KQN~xdyN(M+lhUkm%Gae+PH1yHOn4-6Y$HT*H>=tIm<RL
zP`Mt_o?KkMtNZI^rK93;`e#<cm_6$n^IaiUUm?<f((eOZIL;$69aQ00-R1{)Lnixi
z!V?NZ2aJF-OU=*$tE+juCWS;p^!&2lmWMj@YQm!cc_`swgvHf*{_5*Zoiops!3w9n
zkHTF4k~CO<BkLXa28}bqiN=N$!p^5n#J`!y&jtULD*au+0daPq^MdbwbKILF9DMpp
z@-WV@g@5$o*Y>*m`6^9%b?f0PTmN4#l=1!c5AiOUSOl&w2@nCHR%7%Ypv9j8YJVa?
z?aqAY^l&=#UtdnrStthig7Wv>miGA#cTR%_b54kQ;SYGjp+N!)S$5v&)af*yO(Mpj
zW&hmut82is-E{?3R(nc=w(bJiu?-FBs{2AoLe#s&B|mQp_qVaTY6$BCf)*Wd96@rg
z+$HXd`>3YuvDKEVx8D7CAV;8Z?TOwnLAoI(EDDLCgRRx>$wrl$cA&+>?J0Z`4z|pW
z^nKN}{jmhL3SO$zJdx_6hdXcUWF(bRc<eiGmh5k&#+~lQPa-Ixtmk!AMKaM;);qTT
z#gCedoTTpIKhX{{90~nvVp;!T4E7AYY-kH}e-Co_Zj^?M6Hmr|SYbdQtvQ{5Rc<;W
zV=pi=<dmg9&l6W0+8>#3xBMe%g2Eue9)i*OkLW@CF5byt@~TGML1Q#mVT=?uoyu+&
z)i~+f>$!!_3&aAX26@4V1;eKK6o!e_t`uRd3=L0B_WF=`gMp<1+pxMBSu0oXfQ&~5
zvmA?o^{d~}Usf=!wz)*$#$9ejSo}Q*h1nmFZ_Wt`0nR~C<IvoUy~~rs9~A9E#cYzu
zh8Io6W5h06S7Cm9ZP%@jOOCTzg>Jb2yJOklM{(YXo1?{G03x~hkLfD7&JrB2ogu1c
z;$eHpu9iV10ykFKeUPw_Q0UxW@&@!d?$$L<@Y?TMgkFfd>C}qglcUxwBTjEhf?&mB
z)z;<E%9OnGS|PWQBv-n*dNY7av2jurYQ^v5{gL2;_iZSZ*aDA?l>un2$n|Arrs(+j
z);BtzICX(AwY+)p{9(3!cf!lLax-216lv;8)Te++pdSghytHU%3SK!tXoaNFrSXC~
z_9*f{yA^P#oTX5*yYfznGfB$G%ptVB_nX%ZJM?9QZaV!ikNMNXW>eeyB!@ExEm9Dn
zy!+I8=*W;J-om2(hyb!UfK%>-A4`{zBB<H?C$tLnm{;p_v5FSLxO%oK!(KqR>G590
zFMioRzRtHf$;GQ<p-YT+2aVLIIt&yAvF5}%4RH;;%*9gUFy%Q_>I`$_V>$ftoc7Fj
z(jH_V-{g3er|0|k&r&K<w{16S|7vlks@7WI^IGBl&R3x3zqCw$O92O0Bkr;6h%?@)
zFa$<9-XTWIAEJ79fDOIOnHP%9B8=+Spj6&H7G9d&_U*I}xqZo9q2<3&s44!pD6qj_
z%WKc^2J#tt6KIv0T+a<7Ncf4xa>?NSS51D1jDL3U1fJzz4->$@`>P&cYqJ3RJn#af
z<#b=ZPS=6UhA!h0;r{vQp~~~Y$zrvQh}-F~<N9c^%6{h;(Xj+ZGLQ}csG{MPmxUK2
z<i#zH=>3>Y1pi5OYIX&)iCdl^O%f+rI|4C267^dJxF)ce;WaH2Op@`)@%I!&(dd3x
z+Vm{Go~Eqfy?^dEZ7MTl7MzeX4^P6u>8y9xjyf?8C`JpjUYuJ*vR;Mer9ip|Lz2UG
zlu^;*->(aHt0fzp$WYC+4C`DJ5YErziA{Q1l;Xu%ad#IFY#vpgYt_l)_Ws1e!AM>^
zv2H}yOJ4LRvdcs|qjQnE4Dk4g!MkKjf@r)HAp(z5_3IL*cVgAPNTgqqBiW&TiFS>@
zDtz4gp<{;zP3#MhZlX)x%KRbzN^;M0FEGr;yM>PK>ENxCA?e~(0g_0ylq#8mH?Cz*
z^R*fX@tnakRzrH}7L=D;wy67zYpx3rLfoQ=FEHc*l=uNc^i@SMPjtr#y)lgf0rr-d
zn(XjzlR;WRnj?9f>20t?j&$EKM>e0oHolLO<4oPi;z?_x;HJL}t}+_pW7SW|)20df
zyCiMw`&?zmllpD9Yq6s)dJ9R^<nJRaPj5!UBgJuXQk06U9Nrgh#t_mx@fnW&@Ni3I
zPSV$VS)`cDWcG(f(|(j~!FY6ZbfNoc;ANcug$HC}eevH;-5;&2Kfypl1DK$^dF4_Z
z)jU6Y9j*UQ^ziHS?3839Cn+N%;_hO{;Q8^c(2XV=sY{U;ecE7yA?V#`iq4n1K@JG(
zU7eNDNB8py)@#f-(<TWYZ|eLw>0yVj9_H54<#`vap>z&PW`*;@zyQN5F+=Nk;jDD)
z$qQk8ozXFz74k{GV2SHN0#b)$I<{S?YHBCjBy(hKMMmG;n2^w{*0|lpV>FBzJ_Yg-
z6qj-;Mc=9Opx-;W_fV(arR2RU_umH9_+k|;e^y;R4JuY%9y={5O3^D(FQ;WRB0&z9
zoZ>Qtk>te{XRa})ILW7*K?EKy^}`Hq$p`T%mtQIAD#a^8P2APy{87kHu;NdjJsP7t
z<^K|j#e><ED`aqHwfj!&_}4ZYFTf2|jg1*9GslA2x_*_7w-D}f+)(XbOWmog4V>3@
z?fu5!1Cq|VS>)8mCDbVOypyZC^B;>yb2(Qi+6KN)OYVv_gmT}N`d~N^xKeWDjdxOn
z9jhh9mXx>cv@ggDzGgVg-Xlqh(wP}pt=(x>`A{_!I*r6QP|5r=wdsa4D(^;)pvy8C
zzbn6O8>NYZ;ct<qz{yO(YH>8mvDyO|j)(&kM#^f9|2hf1SK%9w(5B;ZK1i*otsMo0
zLPea){(IU{0IGi*078QN^Ob_TIoj`JSvfd1aN2L-3gj}mEFPxb8}AVMOq&J>(v(-L
z()~eM8`l_{*+ksf-NIiKmsi=@B$nJ+R0iVO%ro=$b_%969``y}72#kNp=I(dqYHmy
z>6DBTdjZSWz(j{NX<}ky5qRE0>Vko*b~JD*TN(d|L74V>a?){<L((h@_fixCw!mO@
zyqpY2443u_IS!8`OKjTeg7m%i$WUS?nR34+hEd}JnPCqma=xMA5Z7PuoMj$Hx4A^I
z*xxY3`{8*8qfg&bYhxWOGsroIk}fp6<zmCO&v;$!>Ul5lp=GgTGtD!uTW*^qIKPcs
zn1$IBdyphBnuj4ek;F=~iZwi>>OxvszGR&m8kJUWH`ibWRWLAV4zkWN(5kdKK(}!B
zi+?&H=MkS0wKP{q_i$l_m`S47A{nt128$d_?Zl=3$<t{qSBcO4DWsP}c<lQ~h$B*a
zW4nUlb{w5wqdmE~O2Q)z-8&$K^IqJ2pVngSbCVQtrWH3<#F}O9h|2QJ`+|>5Gy20t
z0cr~eMtJ_TGoiP0S6g2w#ibv4H&o?+69lmA!F)pNA~6a>ul5mQxfl>g?PMF!BmzR+
zdx=FjWbCy>Rqf6xdH&4*7r^GY^!4?PPUvXfO468^pAWTBi@MSRWK5t}s_*}cK$Zn-
zYidSBMWNn4$t1;PW=0+#TZxd_*#)c7!H4(y9UfY+va$6#J1z*71V1mj|7!SArHe{?
z1KSE#(vbJjZs3TTD;hj--^*{JdGg7t`9{<Al`(K+0NeQ$ZrCEx(kLln`6mGnoTgcv
z#=~Bsr6QP=m{23Z@jyms&-B@SEu3jzg0y^5fN@v7X7d6(C%n%--{tA}trG}3deXo#
zwNnz+q(psFm8<X&ZJkP9S3<WzxC_U4=O3JcPT^VdsKI%M%*q%cL7ERSqm%_zkwH?N
zDJ1+xzKcrD(r|hQZ<yTI!e($tlXz34-@|FU4QngHxshTT^lWv73RvfYKkZ|hS;*sk
zsXHJT<xQ$L+U44ro*iawRU0mRK*@^Ek9C(~M8J`_8t7eE>om+^aB<TlOZ;(-Q?!{z
zQ8@9I`AdT!bbd~3QCx@7)vG4b6Cto^EiqAOix9-tY{C$he?bwaWGL^Ap}&02hr=Oc
zg<Z4qmR!8O@7^hv5ACN-MMQamte(yn51sgz!YC}SCod|c>P>eFqO&v(q)C!CvE#b4
z_ydZ}<!RBhj0EO6ogRXYXLIk8{TyH{lD{M^EsgO%@*7BilTgh1WbHjWA999Vq5ssL
zh^nfp2gm=d&M^VjvyS8Rw~$`_S6?Dnkjr+eaV^KiZ2&W0HX1|n0e_p?a7PCyi9st2
z5tFK8&w-4R5{|`aq{APLFGQD#(*xnZvJnOl+O-1<Fg7tU@U^#morM6a48Xf>0Km!=
z?T*~#tQY4E=<e=L*zt<Q_x|2ZCW8|LkmGW^nj-<ELO?i2uTj4y&VP>qn9r3lqyO)f
z3qK&%<-m5_Umd)n6gf5aOnF-)EaN>uK9zL@J{wXv4rAZzruEtm_wzq9H#IlgcE9J)
zov;2GN+=|R4ovtQ_f-y8S_xcTU2k{zUqUIRlRn``{skbnUe&hqk3fv%njbPl2Y{<O
zEj<xe<>2r+a9px~Y2!0ayw2nu6S(!bz}mkv%}!4cebB5{tRHTxPa^fH{{R#S-0D4)
z*5ww$2Un8}O^q>5H=|m$1WmAZ*UTlc?2tG7?H9FEZM#K@^T`7!QPk6di#e+A-0|XR
zgOTSWQT)%4L=Ed3-oY`zn_xx;Zmkx<GrmNnHBLL~Er4WQ?QXx@`1CU)&zFtS=X$<m
zHYvtMt&TFMq!*El{PLWfp<CpRjA#)SV4^lY{+-G5Grr|}84eUR^@s37Sy>c6T{l9>
znQ1qZQQoEV$WYx$S`t^DoJv%=|KRA=Ue>2eBJ{B09!hLXV9-TpSAdrh?aKx6iG}!F
zulWQYd{2|V$mTFia%e(@5@+)Gd5#YoOiZ62(fI_VWMo>2z&(B4=W3kOPf6~j;YJPr
zNzcXQf|}%}*B)&f{y8o?#1Xba)R~t0GyT{&Mfcd<?!|?+LhR7p-2Do!B(++P?Rb%{
z#L+dCcJfX{%#)toDBbSm?o4M)<12`6P4|uc62MA5ZZg333P1ws$1mSM5u$E%Au|Td
zTl4{<+sN$4O=<uQ<p7~@_3mA{d0eEg%3Pv<@ardbM`?CO<C5bAObt_5j3;cRDrPqT
zO)p??(+hMt!LvHvL|?v_cBmU?I+h;)uO^oJ{6Pvr;=63s-;1LYG0fObXmqhwG5Bxh
z9seT};O&N(DHq(;CG@IxXpEc4KzgOcfqa1EQ&Tj1j9E?l_d`SQ!?w==r2DASU-0j-
ziXJULO%B+YT6F{X{<SIbIcDd<mHu**BghBvwe=og7x#dDzVUv+v2K65?&lK|)8<FH
z20d40^J5o$WR<e?(_@G>!QDe-3g{(BD(<XC%ri0H$Aed83Qk>FxHmLAC=X@Dd(?mE
z1@Z{MHNyF6f00aGBm~(B=5)m1_L`qzO7b=is5570dQr@FWEb-XTLpuG_(5OM0&<v4
zVsqnF11grDq5}U77$4A_)w+n1kNH1%_r`Stda{Bf5Zx+;aEW3s(>{2~9Y}JD9%FG<
z_|Fwdq(5vhUjwqI02Tmrz!zg4J@$qU`A<M|3MCU^ZXB~bLmQ^m)&fBW3PE_|&!%e=
zrn~|r@pta=VdW`?_I`46m2Z5{uD35PN-bk1=nb9ikrWLuIu|e#>G>;1Dd~B*GPl!E
zNyeu#Nl%2Cv23Nl6%ZmvA(K?;wsMPJR-91B)`k=l7|G#}3l4*#$|6YoY^hYlRX&pT
z%^C3HsUr3Za2t3=kV2nz!}qf1UfC+07sWaw&toGLTkXwXfOJPMRS9v<Oj6swt&}MY
z!9+S-UWHUA2OD0^PAF4Pyq*eUp!>2jlxTZG+(YgUF$bkzGH~UF2=0xE0FX<Zm8)?Q
zV2*kJaT0GcH#ZlSmmgPLe6^VYjAkqzjr$`q$!cpS_DX;KS}Qv0Ir;J9M@&}Mb1b{B
z0LT|aBys=nzz_XTXf6U|{R->q`us@+LU_%%&$t!Ed;YJqlswzJ)q~AKj@+y2`NL5S
zQN>_ZUhzdrW*KL1{vg@UMo5ziG?hDycx=YbZS)$k7wfONE5Abu+ekcN-W_}Z%;y7*
zt&M=LJhd-hQ&@`%(urFpO)~l+3SYofe;l-@MD7<4lEB}X-II5iXnR79nabum<**T*
z7k+Y><i@J3Cw(VX{`OV&om@B%iC4P9rN}8hJ5e5ZEnoP8f+)U&5H$fQt8ZE8=%}$Q
z4=2UTm{;~=n<gniy5MzEkiyN<+NKLx*E1%NM#B`6`ZuatJ~}WZ##)d+GUD3~Yo`My
z$4HD#IamWy_(OI{`7F>lz%sJ!%&)&8(cHu==_Z)8M?>uibR%w0uoWw6m(<;4^?b_U
zXmdhbIn_ei9|gi@>9?O|P1AU;+m|6WCfl=`v?m0`jV>i8%B8`xJ0zM_r@TRp2~W3Z
zfD*2q+juXr?R->(8^$;7YA(*0r(6`)EGf$ok`!mvkQw|vX!Vng97hRht17bEJ~~jp
z1&61~x`|5s{%1{Zwlm|OP2H`v?dbczNaJ5J(6P3>;{H|j0&zeK?R|ZH>xuu3XQ*D|
z4kbRUn6&iMFw=Tb?}q?mVc<*HtMK2AAch8rphZWonPubPFaW@M;d*l`D&8wwmX#;B
z?!bw~Qi(D2mM-yumY<MBe%y15+E$z&skpx>rLWa+c$IHBCLdH*W&UAFV4$w7tc}+n
zOB4KTd60go4_GkN*49P!&ntJ5&{c&9-1p?uK@nSO<!E>?kYcOD-w(`-LG2_XZ?-1v
zZxwJ%ok|3Plk$hgLN!X%UBp&L+j8-ENZiY19z@M0e})gr>(dh2AH&acH=GGQ9~BkE
z=}6$lw|=|Ea>6-nX{JVEJJtyN{l(fk)`3jyx~zeC6|FZ~y5=C_9Dg?)jz5kH+KXot
z)oz?Ym>HuvZhy6HQ}J$u@zCz+gPLYSD@-EagQggDMAixt#xUy0_5|wJf4UP!Jq>06
zJX}n=r6qdyIwS0d?D6^Vj`Fk+*Ry~5S6O0a-@yET8YY6!s|Fu(Em-@PO@4uYbqIcT
z7j{g|Ghnh`(pzuB&+azAyknn_Z;?DrsF2>-b}uu_po$(&mi;=r6_>WUK~9vNya(Nk
zqX6TL!U_peD3hM(RneU2t!6xA<y~mPV*b?P*ZT<S077R90iOu0ExxyasXlD0myH=v
zme{{O?Zcy^L{L(>|Is<7{M>$_y~6Dfdjw_7w!7_g;rh^CeHUQP3j*zA*pC&mv;Pk)
z&-q1jle<=sZq=2>W?pHxC1tVHh*4uS8rSB1J#TD#d#X#kLjcV63~nk|#Bx}~CT9il
zUC(-+l+w#A0l-XI^fMjzYX0B`%TFXbZ!}Y<$#`y>KbELy1EK6>-<1XhJKdMF<@aaP
zDBPnThTrmOof^rHleKd5YB+&3zm1Q479_oaOv>H6_a*qpjU^e4`Kp`j?Bx(R{))#s
zE0@rWJVMM{d-ya_^d`&r#odnR-h^R%bmp^5G4g&S&On0MIbRg1JAr3jNyUyW*~8}M
z7l^rpK@iju7pd=D>CXRGWt6O4)(xibF=z3k1nrHg$iS@CQQ}T_CUEx=r_!B#><`+Z
zlzT2Pg#H&q+BgRU(rm8ZPD~{G<N6?Sj2j-;&5-_4_*6R_`@HBcf3L`)hX`oHRJCv$
zjf|_S@+T)Gqi)ji=41LgmR|E%_0Q<!;2#+ywaQtNj1MfIfzW_l!pkx5ip+k8G?%eV
zzIj%KxZ!6H3~d8i$rhXlskqi>l79>mq>~~q@BA#pMlSmTO+-e4z*DQ^WiX~1^550q
zLTN6+&WQ6u4o2L={u6{#KCBP0S3zD_OAb@ADNK4WfcJBG%eho3K+^%`{iW;Br2;4R
z|2s)pS0M)`{D4XFaKD*#-H%wnEf6rf)f<eX92gt~6uHWN04e^}HQ!{C4CupOe^I%3
z1Vo~qJ|K9L$^*#R%kxdU{F%h7vJngG!=r#sy#<~F*YfFme!vZHYJnh9?DbvT0_m%0
zg;U^&?LvP5aywk8Lw*h6)pl8j`!h4s1)z6Jjkd2g|7S<m-Wp%{a{t|MY(B?Mxb5mZ
zpC{)`?Nxf**<D^=0|5~R3$>;{!u|l>^{=yIz}#YQZ?AFpcleqeq|$Pc9cbrXT?YYR
z=hZ4hj|n#jykLwezMqr)c(1)%_MIX+Z+W~~_&Na%8)}qM7j`Ww|IAz+jfi0?imbLy
zhPCby^!t2CEYQM)UY5{bZs3q=A>)m1ALqgYyK16Rp$-krMuKIsQ75WS4B*(jK$Qau
zm0O9rXL!~Pqo`^>BR9=nU6pArw~x07zh-HAPsKc+c-lNgCcfG6B}G2BOJ2Kh_XE1~
zH0J{NtTj>PgFJPeSQeV(3ll=&#grVedHg|l|62k#R`l%g!}xB_CZ+h+pT$t;BrD=V
z1Fr6aQiiOIFAST|?0$Q;M$>tK)lpHa0kth76;7^+d45CmC7=?*NuJXX^Yl>_%1(&!
z$d#tC^_zMpBELc^mm{$s$IRFHYLM|Gf4a!d9KtpI<R;$T5|(njIsi^ER>)fV5KL0$
zO`4zDS?JGjfp&4evi-OeHvT?hHw5QoMXy~l=#BAJU~H&-YBQ23KThtaSs@jNtI4Xh
zqat6sM|R$Y*+&+5ImW-9+i8cgX^+GHI8t1yi59b))aLL<2N>3%hjNI{w6Hw-2Q%T<
zrQ+B5Ns|HRwI{2uXK#6VesK94N`2acDZln~vnuZH&VAhWVAaT1x&V;T7;|!R-T?lR
z{)2{H`_m<70E6vI?0-=UoJX&mwpW*n_2R;;u2*u~>nuQ6X$LhJ)_KL1`WTQTzh*V4
z0e{p-Q2s1mI++YRe0`8QTV}KJe+QtPJ4J$BHm^H-z14Eq%F2q~(VA5Q!K-Bw*uLPq
zdrNLEECd1pSPEhq8jH+V{3QTkI{JC6La$PdnJEnGpH56wWiAPP`^yn7SyZG1*Na8F
zKxFYR$t)K}N<LTC$!67R5pO_a1A40^S-M4`Iy7|_L<eyWJVF>BOVH)8SESPz(35>-
ztx0*!$|*C8FjIDQr99lgVetGfOvsn64pcR}cR#k6h>eMMhO~q*g`j%RNp+6H{fCSj
zwlE*_<Z4#8!4FeW$6v_Oc%e6n{4rF<x-0=Mnh&JVvUM{fI$;@91WeKy-e|@FG9vLt
zY{yg~wQOz9;5SMQygM;o2q0C;#r!`uBj0gw%FX=_qsYrmb&-T~KHD|k{J2*V`Pdj}
zGxS?C2xtm3Zu}@95(8Oo3*roT4bt(vLKs)P%XUvEU~tAN4u|}dp*Va0-A0wQG*|o5
z(1^)u_G3BK%eXy``T3}7OYYzU{AOhXi!$EWl^{ts2M0TIyk50d!Co(!%um`S5**`d
z?7QJiWr|F=J(P;YlXYBnr-U^V^qtzdF;|?LVJ+St4BD$?Sdi@WuG4x;D`IiFH5d>#
zJg#3;PB9h;9pFh{<*(8V@d`@p65RX3BE-bS*=fpI$`xV`4i3&WJ6Bw*J2|l{DJijX
zY5#i`3a;PAOdz<i;s*|I0p@Tgm6q=A?vt~#!6qtRu!w;|FU;D<|A7M^0cg_l@%HRB
zp9CPc@GW`2JoQ^V016EFNfWG%zSx<)<Kv*&15sPsGiFwKG+Y>;H$M4^tcSIfb_I=B
z%@Ur+tKa__oK*20A|^MsL6)OhU366_a@VB58s1I#(%lLL3&vkfr2q-6TedLnN|Z#I
zF<J}@@+Z0vC^?*A@~C^^K*D*QLfkJ#EGfwq24h-#9OSEZ@vq2Q4&39UDzfUv@p~63
z0}%vw%N_4>P6LJ69Ya=5$G#EDKWIMRI?N1ksdKxcDw3n^k78Ckwz>*H1xZ_*gduqZ
zj^B8qNXx@ktM;=<-Yb&K{^5x2cQ~ewTx{@Rt(>QS8Ib#D=frE0a58ZS9AY%^ps@47
zZ0IIVDjOVR^h<SVgOVuL$l9d9bnWk1Gn;xve1AQ+7}{;aL5e8DVBeYMH-P8qTH+Z&
zC66nMc9edxN7~lOD+I-$CvoTDF}g<)BW;;wmWuDa-vKFX7*q6TS*1x~C&h%FAP-{T
z8)Rs%j(xi6y!VP4C5g3Ocl66FB^Sud@^YK$pW1oPCsyC$7GnMt5)unv!5#rby5h=K
zyzFq96x84c&_tv>wl&toUl@Hw)%JGVn3R=5A|U}dw=YAgZGHe;^GZ?Ed03cL(9wB`
zWq<$v{lB3v2*fTRz+O$~X<xPO<a^l<I9(>a@c$?%XRpWRtNr<k+X4M6-}M$SREv7e
z8K+@j5cBfl18j7FzNt3YgAThJr|lGO$>U-)?HTBo|BZR^e!dGOO#1h=x=f=3+#s<2
zPL~fS?Ii7Yqt+9vtNe!Po12CJGQi&%?ftkh#qK*YY11>@`Z%W3ty>2Jvtbw`9o5Yj
zOx!uCDv=-B%kX<+v**M5r=6+)L)Tjc)e){uxCD1XaCZ;xZo%E%Ew~d{xVtXg3GM_9
zE(z}L?m>dPoXOt%uR2wy&IK0~+`yXoX5Q|8pKcAs%ymQ+^b{9#aZbHC6Pw9E($5r_
z5*tw@N$zYb94@+3YX)l)rz?QCEvn_oU}0!9{i$0Feox5Mc?>;^nx8=~i>W5DO(;D3
z&1As-o$j3Mf4s#?!XGoBdapSn`Xyv1W{5*Z0-rs8WdWX(j+)=XMl36GazHk0MeP*o
z>309n8#B{GPSTeBSp{a>rXV0Z4s0fG6_n)ElAZsBJBJ!e9PU-m6g5}*WO>af4m$%D
zh1yvNM19$D>qjhHl6Gh|Ee6W=znGy^xWh(j+L$%h1$j6F;VJ~h7n7NLBEfnZHx9NN
z&|t_3DYwzxv9;~Cz5#n|r1HjBQY?SpR{e0lhD!B+z4wqEMcMl)c^eAxUei7hL&I57
z*-Q#|VXeY0RW9owqmV;`ZR4x7GbT{<Adc=ZMxSu5!<Og7L}_a&JMA-Vr*Fhzr!lkw
z#BTOy?aiY!uwk{M)!E%U@naix_ddDByWzStkVpLhzNiuwC?mOjQt@A{O-}O;O1QAG
z1$7b&zaA@H{-c}#q6k;B{c706MDKVyASjlrmF@uV)__JsQu2R^+TDH`hCG{=)&FFd
z>PMOQb;AEc`2%V>K34ct{O>vm0AGa}s;LEA<$A%kdz^_WDWL%nOO@3>ZhX}X4~GbM
z2%SL4sZ73*(Q{OjSAD=pp<Uykzp>zP)!K+dW3c}eY1{lm0d;6E=~6k`h{vBdmyvCc
zJDM;{iNg`RHdP?0VJ{gs*s4>PHRxp(5>kLK*hoi>u)L<Pw%=)bw2wW$Hny2pt(lu$
ztTaS=m=w>;k`d<mjJ?7T>##xtx0CcW16r*lkm<vafmB{XE`ke>j$`pwT7F^n^$wW=
zYD^lMxm`gH=gPn>%0wa2%pCJ-2G#4Q6;%p_#&7rx3`HKIaFZJPkGaRlDD3buBW@~Q
z+b_r2-=sPdB$TB2aK@66Cab(NJY4gPxm&ng1%1PQ?!t5JTH`4IoWgh$L*j5kL|(eA
zLwgLdlHaD(U1iw?e+l;g+FoS}t$1~74%aoo8FgyU$PmeOhnSO5DmKRE35Utl;|sco
z;{Gsb*dp0tarTdM8#0M-Y-ClJZ!Gxsn2zEsUoQ|&px=?+kL*+}X4yhnn4QQ(6Z{N{
zVF|;^L56y9d4o%e!~N7UIC!zdD>H_##ix6>|Iwt9P`?tuU=7Bv$ZqeF0~}BQwM77|
zl%jo~ri~liJl{>$)A;WvjEfJ**6+aK@lOmyff$;c90b-qqF-KoaARr4)&Ccm4S)`>
z&H;)kmg-EPm|FKf{X213vH*;O?}QVjUG>9udwz=^Iub&Gu*q_<D9+aAfzSwu?1g?W
zIgL4qEL_qW9!Wkz2UU*E4V)BX4lFpNL08kU*Es$5oAL7_gO+E;Opj!+N43JE>*?|!
zYtNElftwrlrnX1@<pSbj)0ZBDpurX&UZGR#&H?ihGw8^b$91%eEjYtdL!78+i`&Lm
z%?ifx^*gdBPvuEGt^X+0nTafBm#4AWk2mZLPp+w%q&ODo(1-D0NbS3wlGuxM)ajez
zW}Vh`fufnvAXDBJ)24(7QT42mnHQLR`=NgyBf$Hm>2u0KNVP^#d9TzflI3}VTeJI2
zh%rXl5gy*yL8@ia;V%YE6ZDgq=;RBDj4S7jQxn|HFx@aCi_&Yt&#;etQHUBrvf0SN
z{KCOHrz_%gL7&5oHCpj>>1Ga3_@ooFcH=VacU#-UJD4OX5pG9)*_yh2k;WO-N`OXM
zmOd}$x^~JO-eEhOs2}Tk1{|+3at?`Z3+~QqID1obTd^+L7O9Fdhd&Mg<0p~hs||9S
zxTkq9JG~vFsC1dyTCSis;1^shcE4!|j{SEy5|RMi$(q^Y1i*QId3o6;_-~mnEhRDn
zr$aokAU=>y5Fz~-&~J)oxb2E89*qU6#2OYmKFQUo5C0|`DF<GM3z0X5G$4$=#^mA#
z3!z~nN+{i3yH3jI6`9?@!+b$iy~~yR_IF5hxsu<NyLFYTproBWi_dqx9_~$qL~yJ6
zm{9x+uvg_M_H|RLVutqRMV`OMBL`=SaLOd1VKyU_(nPf2rMWZbsjcqx*70or+v|Rj
zE(PQ<=Ik&Z`5B3aOU<jbSW(Z7m<miBXhMTDXRf1jaa59vx6+6s<M42@qzcV-OtPgT
zKAW*<Z2gf?X_lO<k`(MomQ0<6amvd<2JH&Xt{mc$Dn6mTM1oo4Zz3}rZIG$Y-gD{(
z!NMBcSd&g=??`fz@wYnh&}l?^A({p84(Q?>y#8|XS!R%4d6nXdj|CId;j&XXp(~k<
zDPMeCwxaYLBF){cEWzv#K`VPGX~$J$bA=P#Y;z@SyYK8*oNjo3Pa+@%mZEkY11Dus
z=G4P9qU*S=!ToKT&g!mEn-KcBJYcHLUT?jz<dUA(vNz=RF!p((-9QN=QCr|Je%?xk
z54FH}{G=UjoLD8#ZbS|6r*BYR0YzM#7PAk?3T6#C{P!cq3={3EtTu2Nrh1t8))hQo
zsYO$7`#<N}jI<#6nc4qQPCk<Z!FHjl_q#+i%eQm=u}n@R8E4L%-G2>tR4%xAC`V=i
zLSebQMg4BCS1vd0YL7WOw3a)hR2A$am`&OcRJ=Kc^{<7YV#Kj*u?(u;Rg*G4%#^fx
zn@>I*M9b(6gitd2ewg{0O36znd-L%=@JGBEd@_=R>}h?e<Hl$as~*#izB|EVYkB6J
zE2-83S~C1Dc2uN!eF^N7<j^&-M}j3cqT)QS-qJV6;wo@U?wrXu=L?fB!Sknb9|%<w
zVmY*1sL=9EJD1@Dbo4i5Vj6RtwKw;Aahru*eva1nO0d_1e5SelbL#?Z{0sl)DxK#P
zl54uYLaRrvk3+d)-0JC`GsyNUA0p<ctM(2lV`pu+`dtfsI=rQ1n|@NO)`i_7k_i^`
zd1lqHWMu~pb}IX$OhK%->`jcLOR+4UF#idb!p1o@);hJm)Ax+6di2kVP(u=GnZen?
zsG|No3`S`LaGtDw<=GPEUzBbv;4J0%C>oA*a%~Rqv-7%@z$ng~``*9wH)R<xMllt(
zL8pJx6o|6;@LDhYA`pI*Sj~F4+DGbdNpi?kaiZ49EMbUHV1D|?(M@AAsGy1hBr@%G
z55|RRJ?^TF!>j+HG!sOCn_CEI5=wbg_^-T%Nm_t*qfx0zRnPywD_}QdWEd1>d_LW4
zJS}P@`E1Hk6I%f0;*FN0jbaVFTaXqp?AzlYYgbpG@2-RQXh<LXj!QG$rIjn$t}`#W
zGTcTz!Uy9u2EEXg)6Y)MMNBh8AI=n2V8GfdpOrm&!T8R^d#y2uOx95qe~8bHAOs_Z
z&8)qjz#tBH=5c4)Y}=k_q9EC6r}o=pg|q*+`D@TP_XKieU987=k+|3bH(9p)*Z?d<
z8}6?sNV+*RKHiD392a<9771FG-F;FqR5Ag@xH9pt6S#gfb9AhWuD(8E&>2jWwN1M$
zgJ*bh-4O}kCzxX<8JhV%L69gJdt~Q<ac|;=pv#i3A}@Orisx6QxBNV=mHAtjZM?$3
zle5Mv#0px|uUa*}A~OhIJcU;Iz7phSh(EvdTLAuWW$p<nc3`62ZlJmXQyu(e62!*Y
z9=?8Vg8^89@A7*(`SC*t&#;zW`g+ahi~{TZ3>W%es&KWVu*|i^v4X{!YrARUS0Jt_
zqh6N8!|UK5pEEgU=x}}xx3qG!_Kmdq8NYgEzHkjh(*Ja0o8+Hm^E83^b@@#&6eEy6
z?;ofR2#?|aV;lWP8&HJu+1dI0uS^Vrl$jX~2)EbXEDz!bD27WBd+mXdx7i~fc0L0R
zW9oou>qW@87+*!LMt)$s3|{6Qw1Fx%?+>n@L-pPx@wo`dSs9AsdHvOiT(Tv1YkJaY
zVfJ=bw7a~}f-Voq<)QvkQFy9mRTfJ+b<(KrS*$@EM}ddwXR;A%qCkkQ$+{xVT3?R;
zaD>#2QDxGl{2O#SrhG*#lVw!&5W=zXCmXOi0*BYN4>7Gw+|QulUtSG2U?FbMPoXpR
zJzlp)<w0u92-aJ0+gT=UxUg4<{1{n*XFL;m$l<NC*spSz^t6fI?%CN^Ef=EfY~NU~
zq`3KsPQ6S~{3YwXLyI^jAeIWOSuhXtmJRcVCY0-HwUq@i$a#EqiHk&9#<PUa)b4?S
zXue@PwG%^Zn6*H}0WaY|2u!o7foB=V_PE7p8|$mn`YotSNAT9##F0@jY>T4{JTf#N
zO*dA@c{$-N3l>1w-@A=h6bVtNiS7rpnu=aZafSj-!$Il1=ZGdk{RwTJ9R`!S$JdBD
zYZl2l{mERnDYAU8qUWO&%YVoXg;6&jY&Ei}L?3>0-B^sK{!;?y%2ZaMUWcp(_22}t
zqkYf+ue_TED(@lC5Aa^aN@vNKng3Gc{nrGe^=acN;J(>?lsEahlr4&T%IEn6eSV*>
zKlYnD33DwQK_jzcmvhEy<5LDP=Qnuw>QY1)<si2-r=lSkbOFJ=<LW*qaz#~-bpw}X
zVPBYMMa6>CKYP6LWeL`Ufag^VwO<3{zyXYuo2oO%rQvoP!;bBrV#OB`t~%YmW0*
z<a~;=-5U*jHz%=Y#;219i5}Q_2ak95+5W0{cM`p0nSnRb8t$>x(2zc)`sI?r62#sL
zgAryI7+_eJ8j*WR1~*BDeTauKvO~yI5junrsBzA(#uCUeob0QJSAL0#bKkq<Hd9F*
z?c<V23x|%qcg?ON{KCwML`l@5ls~X*Q%@48NYmi&*mSA;;BoAo`QkR}1~l6Yt2d{M
zGWJXJPJWrZsi~8H&kT)hK{PxEg6a<q_10<#zjr$NLWeh2dIeu|(Eo0KrEQoV)7alW
z==Nc<_9zwYN?q>@^KJ91pk}6}X6$NGn|QjLO?0%mIuXR+^vVVwz_aobL9B6IK`ESL
zoGKCMk2x&<N%@PHw#V+h5jb895l|+~L@B-<lApcvKgABJ46g0}#v`TE{hEv6e`E5E
z*1ecxQ=hgX9}5eq_wGvQ%3ha%>evA!C<*S#9MssDE<?QXEaQcRberDZfhsd-Lus(G
zAYQ?`gY&8AW*GBY1BvVFRTfGS5!|0+DrRc`4*_#xGjTPr1w5@=9*O#-Kck^=%gp%I
zg#G=aI68S{q$g$>C&QUUh$5@UDbuQ>pLI@N0x(TCIqvMs4?#Sc7DRezi>2KmMAV#D
zu8z$<q=`Y_8WA@RO{Y_tGF<->$XrKA&)&xssxD|Q$M<upURdJDRuh!A^E8WRTZt<#
zDCJR~mMfmeryEz$4*gAZ`-1jR?LEq|oGBXBu1ZS@2?4h<)Bwn4-OL9KmYzmm6r-*b
z;X11&Y>cX`glK9NXV5WzRoPNV=qLPs^>R)<6?`-02X|p2NSK3y1tw1Cer0y7GS048
zn*5jzk>J^~RHZIeF|-Z8_*R~B^Q?E)vGIH593sJv8b+8qMdIrp$QyI!`XO`%@*Ian
z*Y3ZcCJMM|H`%EX-Ius;Q?Cf+2^)Tq(!{bNT1HcZ+6A4H=4!u${HJVBw&Z7KCjP(a
zWvR&)2Lu9rL=25v(FE?%{wOS|*Z+xeCZ3cpfqsB?zYEkDi2_*s^9#=ZJwh?WfmOqQ
zmV-0!V<?EL>uYCVt&|+V<46|D;{A78a$-xIqB#Rx100ARsx<wefAg|sgBNb>By(T6
z$&tOumnUm(W{lHKh^aMcf>fdC=JLOBdga6Z8_eNv`U!(#xXhB&)-LT?cWzqoc4)!z
zT#Zp9nhFj_rs)}+;|%3<-gxv2n<HJ!Iqec)qYX}-8FcZL8@k5Y<Jh3rR;}hl-F9o7
zTdZj}GnQFmEpl^mq~Z}1mfLDVE6Sd~c5v1-@j$)RChnbm-H^_0T)uaSo#cq#u-x#<
zFVyD|p0_@%dVi5c%oXHc9?k5~Wq(Igd?DL(3ZYQR=%;j~Ub|eRKmLj8Nu$6$GRO`t
z(qyv$jK5VY7V@$3qrVA?MyN{4T??<+6XCqE9tPbBf>W6ctNxSpRvtfDQB6o-e}*ZY
zXD}Vh(-*J@bB`(isEyGs9sX{B3t@PkUNwwP7W&;_$n;)!@r#N?y~4Mr)=jw(Q`+zA
zKEAHyMZ)C41^y{`9TS7pmjeBeESEzZGc=-~sX3^N4Qyz_ew?|m3)C16DQek{B)A=v
zlFaP6Ghz2-B>zTfo}sWhs=S+_-rU}IH^>n0hL2VhBAM3guKhOkjr24!dQ_c<jB;+&
z7ij97I(B;iHaIGX5B{gPk^^xp09r1ss0avaZ$PQcfA9TIVIivLg;MbYaYXzd;h~Lx
zXoqP%5K{1tLIn%Pup{CAsV|YKxy=^La?{UCyD5{7Ru~5Fmi|6fHmF9Hke#3u%uJ+P
z3_mX?%fZH?9hz=E6Zb=f@HWCN9xgs~Mke||#-D6>Q19NiX)U&XN6Bv85+-;R-@E2@
zx=K0Mb$*j@Q0ZWbUA+{LT`;<}>$s4tBK9*eZkMBNZ&V~t_K(I`9gf`gLp9@-a~t&~
zzgl;~2gUTbr|7*pLe^m|BP#c#N-udwCQ4k~+t2`IJ|SOW>!mwLuWH#1(%WUWv@xBY
zo@?Ut9#<~6{&5qoXRh?0u&-jx-F;%bm^PAp4JBvQyP4QHb?aS<yhLj|<e8Ljby4n3
z3V7MHg*se;pT|fQHVF<qiPv13sk6@5ZuuJm$|1bHd7G~#S)$jk6kE9-b*!H`AAND|
z{c4my(CL*;&1R5U`4Z-hRoP+(>i$KWEg}!w`p^?wjEv&jVVz1H9cr6fkwJYN17uKg
z%=SGk5l^<GM^2Ada%JOI2YIX9rZ~3HMi+;q;r^nWY?OHQxv(BTZ`9cdf#tDef)`Dd
zOMyh+CqQ)V2BJj3ZGUmvFiHLYj`hMl{Y$Xv|NqTS89RQDqekSPBDW^}-`D}q=wC4>
z(D6<7AN2jVb$6}rVHYIv51=FRTSCN9;*~{p7V(8&1c$cuOusix4uBaMqmq0cX9S}@
zn<{Z3H+_}<I0A<K+|ak2+6pJ(yGN_Vll<o-*6!p`5>3qpOD~5oeKp<Br_SSFb61hV
zk7M&}(k878QJ=9-_}^Wx2^F|*kcbb8>uFkBz?k0+^EVGC$U}AaN0QuDbcZZT?Py-t
zxI@*geGWR(1Fuay5JF`_bT79#fXUoe@cH5ZIVZmNa~|sNnGLZ>`*awFDDIlNNbRlu
ziJ8j_Ol8G9MNm^Ur^dMm3x76uEDRT<N}Ru(?T;$*)BPX3MOG3@SD4_Ag?5m%e~X7R
zGP~RfN9zF9V*6x0`|NjZJ^jx;JMlx*&_7Vy%gi7YkO<o3sB-lAX|%@zQq8s@J6C1t
zHyo16_pV*>d}lr{$!fODjCqJ|3(1sD$)kZBlabzSRy`HEXuri5H57M$0b7;K*|;P|
zmc$*l?@5377U4UoSc*`mlt0F<P@kb##cFg?xcHLGq`4_T(V{uCyzz@RAZo9dQ#oVj
zQ#62#`2WmJF$;$$|5ri41{g0-FOSz62i*TT<3rT~fKf}US~q3rT+tR+w;I4n9bF>I
z8Ar+5Kgk{~JIEE6Iwr+l-81Y9Joqb^e9ss~)HeRUAysjeV&F0pL(Sc}9jiDqVo0VF
zu})1B@UtjHee(*W8bEO+y}qIOQ*!2Uz6*&{r-%bd4Nx8qk~@p@RzyKg@^lI?AZEJt
zK7<#6NhY;mlsk2W^Xr*H&lVAsHa>H3!o+yjvm}BoIb~0z#qf1veXg%}NE>0Q;ad+U
zw8bB8QkIxFP1WvPAF^S&ay#^BU1+6eRMqWQtUjKzdK%BFaPO*bNlvJJekVuUgp^iO
z$j}hj1)h^x&jZ%=+v2{PT>zeVo|!6VdD0)FBw2LCBcurnC5vCBvjWCluWfqsRPr<I
zk_$M2zZ5!UQ7M#a95!0{>t364mRD|&)<c2evcL@47k-~=Q<S!>SM5trB(77B!pdp1
zZ;tTjo#+Q0$dr?K!8g%Xg;c>9-8^ZA%O1U4iPk9?bj4W@-=c+Krk$X3fRwn+x`~^e
zV`zIT3EyWa-7XZ0Lo2g$dkd$M>nA$4M4@;@m=iE#M`~Ve!7&2F0S-!L7Od_%&&w%O
z<Ee8&%P>;>iQo|mA0<|CPiN6bj9LN|u)S04uj$@S0z&vL?*?G-?tgbgxGFu|Ns1ww
zIsA6krVYNf;{Znv`)c0D{GMhZ%SfbEXjWJ7+wXxcUr(c%vh`oCSq5JHv}z7(oJ^H@
zb%68#6Qr3Y>}Lwu4-g=BN5)t^{>w4$1xSdbYa&`+3bbh_%<*=R^6Q);N0(YCJ4qYn
z&^S@WYJ6ykxM9b2JT|3OMxvhOuLx_prOiy_&0cCZp&y@KZSP3;;}`qV&561i%<^r$
z85Ul*G#~;fCL=p|C7k-A!*ZCaysNO=4Q+cDQ^!R#GhEYi!=#j&kO<zqa3|!E*haIZ
z^OA$ML_QjL^VJ>K@~hlx5;46$FV|7d)>LyJvtE7gO%Al@=bPHx6Vkm$EJdG#0x}q6
zWOXsL5(A7{P!PymY@C4MR5(fZJBENEkt>zho0ACDuIt3!&Ccfcol$rA@Vo0eLVSUF
zHin#0PS6^<IpJHQKRWpaM5f;}M@PHO^vxb9+0T7Cl1Lg2^K(tl(#ZgY*_ttN$fXS9
z1zO0(O?-2qjR8&W<0G-p$!3GnDGvnOV9_oCGt-y52vN&|5q8gx1eypmzdNo>?k1BH
z3UB9u`;6eeubd{+Gwcu$3~7G(#7B7;fCu_d<sc)bYN&TU{%c9*AC!%@w%2GpLKOW0
zLeP6<+xCP+_SKAxb2TPNc2G))dx>$V4MYZ!?<n;u)%E^!C|5H=r<+g8JDntub2wzw
zpY!XC&C<4*W3(gfZ9I%riGg=|Gz;%o`sKW+Zo8N3s#KTO!^=M!#ecFY3)9DLo_mQ>
zpLk;?q5XU=qw9EMANp6dZ1Qrr-P7g{_VHKpnP{z~N14dl=XV*e2m;dG&oV%ki6eEh
zOg0LsXWbcGy_WQAu2z<p1NT=B%Uz4f;ELf_rm&XuP&)@<?`@C_995%uTc~`HX~bk$
zv#QSEFGi3PgSZPK^#yDy*%CkZd>smeIfBk56Rla<it8#5_tOVneU{XTOLa_^>r~vG
zxjISI*(;<H1Eld{76df{>9n(L^vVR4i2{Q9oL*-B3|W7q_2XYJ0ta#YB$xC!6TKO|
zUas1n6K9O&NnJ;WeBbO+s9QW?N!U6WU%$dY_#(HVy&}tl&V#M)*-vyqY&5@35us4w
z<jXxm^bI-Yj!Za_9eS*fV|Dpi^;s9mo~5(%6pZ5R9co@_$%OvW>~6q9%!R;RFhDG$
zk~lCuLO|421#ZV1(XN#YBh6&Qq5u@8e-VYMk{KE5?_*cnhIEjp$CjSnK}TPsdy;I!
z82W6#2;{Lh;8I(Tr23K=+JAQ(nfp93n2j0ca$bk>M5O&$q}dAsOlWs6x@jyqJQU9L
zJUjs#Bj+qy3-)!N$ytMY*5~l%@K)n&9cO&b7@OGc>?J979O{sd8z)F&pNZ`H$Thg-
z7kw0Gm>{{mO9AL-|DE88novO<aDbKiye9NdkO=@F>=!-xX31o?OON!5&>xJTYhV86
zUoZTIvHsO4#0r4@F7DBU%Ca+Pm|;AoaC$S}3EcivW~T|t+lEd;{V(1hkJr2aSo}ax
zKfk;j0S^!FUxw(DmnQ(Vp2XEP+KAJpMD*67mS2wao&r6Kd0uh{+ll2bhX3MUcWUoT
zZ=*yxT+?NVxr^M+@pmW1k0WbmL$D4dDSj8GgM9tqbMaig<Z#osj`8KS=7Xm`S&U(J
zG<%nT=>sYz5Hxu~@#Xn#%KEQ&eDh&|8%QVw{o8VnB<!<-B`Uzw7MH|~170uZV*wl2
zDPa_BNy+FTNzKk8*yT}E1XdY2buc|Br`gCT9k$AC)tb@SRIV6ym6QI!<vHAKB;eOl
z7IcrVGbQ@jFVW5dSN1LYSJDKG&grf{>J(jhyAdsX;yT^2eoMgZ{Cis{nOES)Lu%fP
z!5E2slH?TYQ%4IVM^Ll+3YV|nV~K4|Dcp?+_5OszHVT_Y31h#!vm^uEa)5CkODh0o
z8e{P3LrU$8JnM6wgktTe)}w_tb433$aM&N(R*cwKqD(q?NJaI>x{%w$C0E`Sr_@CW
zOWPo`qtbWkX7`Q=p?2;A3HBv#M;h9A@u5)dFckX4;q?jo^v!P&L{E|9gjgC&_z9o(
zoUfus4z)jP{PPD0O@vTYwy_RL)TUCiYdIIm-#3qifvXdN^KDpCr&uO|LhrM8{h4+g
z!#DTYrg0`7e6`)WWQ1<ah*Qm*p*Zh++7T9O+z0ss>|dkHA#t>;*qJPY_2x%iKLj{x
zRL$(!pMQde`alTM=qjnlj{EY|g1sB;$3MlK)j^*G+wcQVxM-=RRc`uVB&BZ}V(V!~
zA@lP>F3w3B4lf8uKs4hh!1Gd*oiZxa%x_TG9h^ua*A#9N^$7xzOd)sXZ$SP&%drcO
zDGf>ZX*!+-P>l7R`?2!wSb(WUk?g5GXz6CtksLoJe<vCvk-Ze!0O97u<zVU3NUv5L
z$P%=@S|6=yMweJr{&*&c&wooqr^WlWvu%Fq^zHfb1&xcGFv9ePb643(Qbp`pY2?Q)
z|7uO|!2~%pKit-eX83@GZQWzDzv)gbv((H`Hc%$bQ|&y`vG%XF^T>@);ATp^)CL|H
zyh<VblyKkw+VXGP6N$WiM~r!|Z3XN`G2oZ9>yr|F&naVG-p_Kr`KW6=y$jD;v4PEJ
zkgO>~lBU`*KS+G}(vM}J^5L7oqPzQI*w6Deq_?%Es-Vr+nzlCVk67pr^qSDeGu~)a
z2^*`F85`$+<5}-{X+oi;13fotahMekat}9LPg?KGk*xaEYzN^cbM2=m4^^F41+*WB
znC7ror@zUfAwTbyErc?mhl+hLaDz83LH+WM;}BfB5U5sLV|(xWN#EB^hY;lC#3Cjp
z=Jar}U4t){R)4ccOB;OilPRSmOi9|uH1>#A6~{I?S>hx+MZe<N9Mgr34FAfw#dD~^
z<B4*lqv_5EmgZLlMni=)a<}|<NO~)xj#-rF)1N}2_4Y)y1;}>gC9;~((MtNvEqP-_
zpEav8nPmp8qE;Qq=HC)HuC~VEshhU13MuyP_F~ksed;pjE_FWn_IggJ;wG>KqA|J<
z$jocIC#hGIn5u?mm0bM!J;Uy%*fCwSqp2~?2*^du&i5r}6_YBOA_q=A+Q_KQ5z#f7
zD--Y~Jn~rYx#x2;Z|0WDj2BhGbT0g5NefsR6N8@*7ZTQccD_4L9N|Tb3{_W&Fa>xv
zz$~J|r+eL{O)nl_Z;mIgB6MCm-z-n6c+W&Nva0;FQZXvy475$J?)OzA%!u~TOnmYM
zUS*&lShzU!92~38X<DM~l3!WWfugH|;ISbEMDguon`E3e^prBGcw<#`?-#eVf&Qxs
z``9G)vB49%k)pI8kcMe!c|x5?#X8u(WB&w_`FDP>vU#kvXpR_*qK~RO!Vz6maUddD
zXqi(aet=2YGfKdf`QxZ$!*+v!UYAq*#k~vaiRX`25gQc5=|+Hc|FPPygV~*s*a0+%
z($8*=N>K%eiQ%kL>FPe_W5yH)QgHTkE_(fCJI`FIXO30*puf#|0$ZJ2I03gG8_^8z
zLJbWJP@?-G<E26v;h}}$DD%*0j2>W{q!2$Q;l;Nbk)Sq}xRQvjO!Xki__{v}e0wnz
z7V-y?T-|Aq+lX*bclZdZ<7=D*okdVn)+uf1dNT;ZtmiOgO}*cg3V(nAP<^wqN`WFy
zO%yVp=!IU9HQFb7ld(fTy#FLx$)C{p2(o9I%c%|!`|yQY-;XDQQs&{0Bb>9P9G&S?
znCZ+8oiYJOHBvK$P!>|Nt3?3hRDUMF`)UwFyhmqYDx;o9?>>-V1BRrBooMESloTrd
zp;y97?Iz`?#v^-5CDLY;3&Rpl`OA}CjUsG+Qg<2}V6P7AGP6NFWWTGc$fcW_H4Pj&
z3tmydQ>14n0>ghF8@8%wt6U^&Ju{0^P@hX|m^OhSAvT|yernb!TMAy4N-LNj6#jaT
zsal`FKWm+Jc-EMg^ySaafK8X9+*2X1X}D^4J-*-O6V;SgSwzWe`CXFkIw+I*6M5)N
z7feopud&8<*T*j6Hm0n(MS97T$>f5t_{s6!d2y@Gy;o4lS2?EIl|`0F%L&cf<kiGq
zxM0*>B7>jd<xEh<H}05NCeE|z!Yf$PjDG}tQF~CAeDRZ)pay5Qzek>BPU|dnd*awV
zE0J<gVRCoz;ytmzX_~85s6zZ?4IQK6G^DVJw)6aZ;P?Ted+Cw|BEN5RutE!T^w+ov
zsdOP*;^jhHUE1x8Ds-_&$E1H)f?&I$9i5vC!J7rT3^Fba_Plt;-#@U8F`V`7n=i}u
z{j1Z!NadK7<m{`f2s%#~fgx|q?j|NVnL@b#XE_mGuz8q*7&Js@?1y=fLL$-TdIuf^
zi~R{n0{$1vayK(x8rOX4gbv#GEQ}#SEEu);o*&h&aO5zASekP$wnQ(e+#o}O_(<PT
z7V32MgH3f5SctFw^dPkpE|Gl>F1mo<)N{l2iNj;P`aT)d8+Q$pvWtmvtZ?<izDvJ3
zAe`(eW9<!OdQMA2>YiI@&iD#8fmEVBecsAe2P;s!Bk*)oc*Yyz(F<g!PZp|qoVFlP
zi3K8{;8010g^k&D>x@5OGwCliL1DtzkR!J2Z;y@i$cZX9qQkurr4uro`N$jIlI);w
zfDLQ#b1@J#R<R<NZ6|jJ{ZE6qocS9C$qSU}RCM)X+h+GKynR?oz8F8SFLEW?E~Uz@
zH{0i|>&HNiLg`GC?{H{8xv>6uF<))=gyed7bA=`6=$Bu8JobGwy(@QmwI+N$v<$i9
zprBkv&Qpbw@)ER}RPXtFM@G&F4bCIjc#48v&-KWe0w*Og@f1|f+k}LMnoQ-30%g<K
z0E4g%``Lr)ANZxwdbSOO3n|*tV<3g9LFFB-cWTv6lbtoiFrf_rA;aCI-`2niWo1Rq
zLx$TLZet>x3)TG#B~~SRDn|Ra{84Dg@v8}oSJqIgi(G*^Ljo^jK}Hi-zm8P7OT3+<
zlV_#%4D;E6n}Zm$AkmQ4=I%h3!c+5?m8t?3noMQ)4nhk!xvd{w`CQf}6A`^VbgW1I
zQuuQ#6HTi~HS#O&Vw2<J_LKAObS5SyxO{G9FMlIxaz(7mX#+?<>VGbu^`>wK8LMit
z8%{k(J@TCW#uO4OFgD^%wxN335JtAAvet)88lV!<5y`!j*^Z^r^%J|FU)`Qy9^6_5
zuVgRV_t?|nI_V+SuqLLx>fn?g$Io-Wn>zV9Vqw})fyVKsPp=LlTB%`<F^0w#@?GEp
z412N0BjNo@BCg8ESpeXYx|Wt}Hz&_!6HYft6ATE9->Mj;qMJ4wf5P4l?DOhsi8$VD
zi|&ns)&^F~m%n2|?F=i9t&|YpSn*gEu%tQ>ReOhrvQ=vE2JvK=R_i#BROGYDE0%n0
z7830c%-U}vaZFmJV59qT^ph&?WRW?n544oftP~H9QYrub`nbgr`UDYB7+_abD5cyR
zTSX6g0Lh_b$1rBwg{N?ui))oAo1mXrzx6WDvwB=h*CW;A?TIN~wq%7xqE-_3m~T{2
zxmR(vsw}jS*1Hq9e)TOVl__aP^Y;sO{hGlavu9xVRN?w__<%?tqUFb%XOtM+HYuLj
zni9V<F+7S}?vT{-j)*4Dc;~&S1w5hDf}-wu(Qdiw)$@QQb<Ff4nWH1j(?(|0Cj+Ie
z(pA>MzHpE6lh@$2w_b_ubi6TlHFc7aVfpBSAg0$KIj5^|)4d8T>5jkn=Btp4(YnJ{
zQF>}JcW*9mXX3QrURG@xvZSio4-jAF18?`wD}N{8MW!d{K;^^A=<+S-F?Iwy73DG|
zpp&(_=vC(9B(>Dj)R9Zep)75$qmnEL;duJZ<-so<H_?;a&^uzR-k~ku*gcL15V@@G
zmYy)IPJ~zIHcq{=XVUHb4r|$;yEv@yhqtzJX@Fv;^$W)cx+^rGxdC!!W$N@dN7K#v
z!~OmJ7objQSy`J-SDNpt2)8LBPCwMKmQ*x8rf;#G-$26JGkn51NMnF%BKBykDt5$S
zbBK@{K)K{uFZ-@7b@4mXx$c?y@6Se<+QIlJlDL))m8t5liwJ_inzggDGc7&6joSMU
zvq1pO0%7Q=mX#_(`jd|ZRl1jfro^S&*F~r-bR%ejl=e$7>&fA$zbjP|%zCPaR;!WS
zQ*WMaTOSIRZ+`QMv8hcU|7TFmB)0^n3sx14hNdukIYu|XPyl!unN-8X2%~({m8fXN
zk&yUTSWz9lZL{K4vi3$-D|MdOPKE4nVmZ$od5auDXxrJSV&dwzSV~t&y)}~-2AI#U
zVqZx#vB8Y)UzA4FHB3vHD-ov6XQ2bwS&Q(^=krs2RDZ!zUG+;ZRq0p7m)2(Qbq@O+
ze73;yb*I~*g&o&Y>V9_XuyXaKFCU;loeevc?-TJabUMzrYqQ8var?XUq`H*7x81Uf
zTHJlRU*wC=7gUezur9HfIr+OXYhIEXAv!MgHjeW73~j#yoc2rN`PB@&{PZue?6y%T
zHaqYdIuIUqP{=Dec;Mn+TmAiHv#Ma%uOmsGJ67ZQ*;Z}Oqbb@@Krx%5{l4f;CtE%y
zt_Gc}Fe``Ef{|C|K2B8Wo)cp2qs$^wW!FSSsdF5{ZteOy_7xP*xIU&IwY;019V*SP
znQC-;W8-+D32@QXtiEB)tC$PXJ7?{4Rmw<nU0C80V9Z$Fs(L%(g;s~+db)!`v(D8F
z)VG#*8jw=Fy=RKK+)8H=n%caxE)AG)^qJaz09`e0P8^VdBBVz(ZaO7DcXmtx*f1$M
z`S;riEmr2vn@?im;`{!Qk!N~=GNgc!1G&Z4J=FpvW`V)nsavO7^QHU!{#`dYkrDwr
z8fMe?o`_PWuS_M)DCO(%OmSL@vjYHp07|WGPKcNT|E=pQ2|X6Qd^0d0`h<bO%EU$h
z0>kb*sLGY19cpZQ#Vj(Pq~tglKXHyoH?=0rWvPLs?aM6cd2<|+VQi~1)O{z>9&{bv
z1*1(b@6}74*ic}YA-3*!n@7&vQ;OP9X0KX{N$?e4wKew7>2+JyfAJ%GW!QNw^A>qD
z{#Nm5H<oPrSrBrM+04GN>H%l(IwYd1Q9<DKN-|WO##A0P?G?^yGbic3nBq_p)*3xf
zRh_RlwgA4zn#P%BD~Ur*`=EGituCH}SHYc%hvtfxK5^C3#2DLLiAZ+)m^v%(!`*-v
zoS_vg2@QUoAH-ydoSOby%J4AeRin%2z>OwE-?H2%c01pZV}K{ae|R(NML?i*_{SW@
zsORX8IDG#ub4S!=)h_?U)pSlr6S}>UZd3<L?PG})WO+)b-v;a5wPP9in$fvF6;L!B
zhoN>Pr0bu}9FUwP{XAY#d#2mAvHTf8T;EQy655wYCqR~flp4bpA0*0$IeI|XR;$Ok
zXd0LI#W_Dt>hN%N=KXeq6lZ5?z4J3$jY-a$BplwktpsSyl&5d`s9Bv9*EP8(M5he(
z7eczct}O+CJ$HRJJb=D;nCIW6p(B%&zj$&9xI~5%A8R~;JiS}n=p+H-zbm9S^k>z7
zjui}QWx_omiB&ND)oGk_v5~e=ogV$uryv0MWOlyRdISXUqJ39Ks&pDye4lRQQqfRQ
z>^s3g$Pyk}izSV-U^0gv2LRWmylc{@z@woJ9*k!(dmH2Ynt#B`wulXvoFP}08>R@-
z=%~1sM=3vckRiWaHXM+<Z+?^F$q<9{`r4wdzkO!bK`&oR&RG>UeQZdeWYhJU(sA~V
zR_+$3<G93u;WY(I=cTmi8uQJuGhE<l(p=3n>o?{GR7=QZGRaz&KwhZ?5qLE^PAPSj
z8tSjF5KC0jDyH_hOM6|M;SPP}<HPQ6ZCQHt9?ZUJm}zI1g)4M~q_Al({-frrlcW1B
z_Ls8*<Hk8e_J#nR6#iV{Fd@P6?<pxUUO_U(W}|!YflTq|C^+nj2DAo_OamcXjaQcO
zh$RoPS(i7p-)2C6|8|ChAH(RPT-#D7p0h*NU7n3U<S8%;h0G0#$_FKpL=6XbIp<u}
z%F?cws#8+&JiZ{8Z`%HPpk&q@sB%?6F28=pKho7n;tvD2o=egj*LUZt-<89*8II$t
zTF4o02$qj19KbZ6KLyga)#6Kit<%|BD&n+Lc(|R<$d(Tb8*{TWEp@>$*j<fM<ITvz
zoz<_(<%Ju2&B`9|ZoTJHz8Oxl2;S#95#4;ym-sqFIHlY%P>jCcunP8YXEmxfM?i)Z
zKOutocffpXWB^`$8;nl=^9?*-JSqYt^XJdM0jBH^hjqTa{r%o!H<#rt8ylMofNubY
z7z(K*{Cb0h7Y)Sfq4MH8xL@A_=vN$C3hR?>a8GVQ>GCDiSJjEw>K}4cg5#A`6T`Yu
zA8Y#GLKPd<&Ic)Dto4Oop5RsU%0>QMbH?b}nbOy;RJtUVI{FdWOZ9tB3D2LvX+n=i
z4J(niCkdG4jjhqPY);~h4ksTb@HvV2tHy5#B#*&52>Uad;}5G}`0{$KbUA~*uMvMz
z%0RgOGqeW*0XvZG1O+BMTxSGNeG1)AKBcH<&N*p&jfoQo)v}c`R~8->{d34U!|HZ%
zT-RGvayYkFV&<lJ%iHm!#~ae|d}iUcPKV3v{p$6W=`_INaP4t5;t@CoOO|N<^h4Ln
zHE2-gkdiEi{PU8zcpeV&fw{JZM?ucSa1dk5s6AKfM~I?h>vewH;TGzkVHfO@1NPiU
zJl7r_2BNLTuY4qSe$EgPDCF~wQMpg{4GD|>?t*^<yGOy~Ejn1YR*%W2U%z6O_XS@)
zobdQj=5V8cY5Y`?y|(lOUbu8>FWz|-Qs}V8eDMZ6uc1VWGtc+QsM`i%*&{*U-F?W5
z2?^G_xg`^<9j%CRpn{XMVo4ejTSKbfofc%MD^#f8c&|5uN-S(UxwOEW&}oY8lSRTW
z7f|PICrrSqs*2#QB$dXmzP^8SSVA5rh>VPkpSKHotKPV2;|XNq32AAId-njQ8mqSJ
zsp91xfKUH}-J=pny-o{czs}O|483squVUi<f<&{=8;pPP-REg(f`)l!P}Vbtp(O1H
zCx)U9*&Tqx_()h|@3)U5Baw)-$;>d=TFA9`V9{%E5+YU{!p8+!GK~kHwNcN$*Y9$0
zVuyK7-?w;3uWWQ2w0a)Q=SCyOzMJ54_>r{Smk_UWe!h-G5MeO#^G~Gc?Uv<yj-vuO
z=`R;ctPw{9t6v5Vok$%gjDBw3)UE|51P&`aAwolnT20qPS^$dOzdATzmv$#r&!HFC
zjzq`CUa;FVdVg9>phVd8d$#vREm-}O{V}F7Yc|2d6@QNJX@s6fIdHyvGfq4&CwOpM
z;^4vQh6n>zFBXm<6>}$a74`c~$19|*1OH<w(ZgLZTk=8c$GKlI>CWZw1Rvp)GGH|F
z9K_!8HbSeLeY5rJHFLzyO9Z~U$rhoq7rx(4Po<;KZl=ci`s;`OX?k9@;7^fDE3~}D
z=b6k6rlv*|4TcjVBK|OVJWKm-jDYyoUJw~0RvhHKri?p?63WNdk<s+;&pVv0F*=II
zW)$=F75w+n{%48#Vu&K1WA%Q3z!4habhV{+dEa0>MRQdUq|7nE4DVTblKvYLu^7^~
zgwpu;=|%*>N2bb;M7M@M7rzm**9?O#{Dp!y-tlKoLCj%uZ=#;J?edf*1UxCv$37Uc
zZ;yDVgA-<FtGZ)8)VGkf)&z@VBrvW@>|tNPi>LSdc(j|PihD6&G@@d-chl*9E6
z(Lbgv$JFs#^>EnmBtHdI=p1YI_+3$s2x$k^b3T7$6Tm7Ex6Vt}WhD3arh&-6>aN^k
ztab2M2M(&KjK-6YF5q~g#YF75=tHW$J6mp`0UmcQE-t!ft3<<1QX-Xers{0vw<%lf
zsq0g_99Pi{PS}A}Dy_GHwW3^&pF!Fz4!GELR=hqvXes7a3xWdhOK;Q@BsIZYt7!I(
zfDl11khZFro6<=8$qd{PhQPn9zlt;UAp*AE)~kJamLiVyS*h3a%y8?7i6M*!s(I|H
zUedixiYRq8%VpRw!-kySa$2biGRly84)WnbK%r=NccSoq&RE?KFSf7KV(KtY@@7f>
z%hAwV*8Ty?yx#Tfo`*i|a<lgx($ax<7l_EEo?z}z;BMwdH$1LQ-*7!Lrk^k2K7o>W
z$~2lPto>j<@{NWy<ejpdGkkVQ&!Y;ZN<^Z%l8NPkn$O*j6+?3*jX70eTl!^fg+nhq
z0=3O`ZFxklg_J(wo{=b0X^9ip18_$kg1f6%x|Ar4WAI<jgs7iK8hc3B(~EoI34CGP
zO1|E4edTOs!-u<f=x}=;fx(L#k9eWmt$ZV43ybp2x8!LV;MN8>yux}r%(tIebe~jB
zc7A=z5#n2Lv{HdTw714Y#9ITSk;N`1qUiUp`P&>Up<3824ALZ#!1ja#bX1#2xN@1o
zd7cK-jxI?DCE2eV3w{HAR!3PWA|%p>*>22r1^(Q>uR~Lp&XPUHT(VHgV`p`FG89r8
zyXa|Rt>np<$Ggk%$A;_ho;L(P@|=Gs20hQz(BJ>t1VV-d8u?l_@B)U-gT|>xp4>54
zB8<z#p}4b3S5{>Ij*1tfcEFc$5E&7Rlxw=Yf5R+k3}{GbDd|ed{da}kHlARpl&g<y
zY*laHf>gA$!V?k_7Wk2v5NhWU@;EPGt5^y2j(v}R5(!oL@^49G@pYAB=y<EvwP1!m
zkL05+ka1AdxCf5*s1Qom7qA)mU<LyZTQ{z=3Ku0Hl%=VO4dn0=lat+gyMV%x;K5z%
z>qVb$X5S1ElSM%f87uRVP_{pXdg*D9g)MAnDtuT@Ai=IEV0U`<qI7WN%*<kug#;I6
z9?A4E*~9)3Bt&3crU2aEp?U5Q^~~3uufBu!f_ry~^fulnIkf)o-Vgz!J3S-deWyh}
zbp9?H$+3bR+HR5`p{t5D;JGpku*|DRS*Dorz?Vzv^vv6EWl$ZmVGCLw_Cg_jB_ci;
zwlFs@Cc+8A$>c1K%;kMA=98iyIR^IcEBg=SA-57Q_FJ-Qzii#Vd-{?J(7CxemTCCa
zutXLL89Uy4`Kd-SkaZJRM$w(h4W=(vN?xD_BXU<yrb|`0mu$eL<5LA%$d_>I!G^xn
zaZaHOKHz-x#>c=fD#dY7U@Z?+8=Uewy!QUkq$rEMuM8eB$g@sd4IY!Ig4a5E`GU~7
zSIlnWD9M=z<EZ5owMP6=ad%lqK4aN0t1AawemN8Ur@*F7k|MU~kzZpl%Y;pA7&;+W
zc6XY+KqnGph^2pAU{+xgl~@-F>=Gn;(RL>=H?pxM^$if8{!nmmtf9hKUODy4j$zGN
z=xj<C8>0RV)_s24Gsu>2ijRZS^A}(bI*+csesX0KH$7TAPA69+!{>v2Z`h_*q~-*h
zCj}q3Hf8a`Vsq!2SLuuIdb$0kh6tGb({Dufl^Kw=@&vrt>g($-?p7Ul0s55PkG#R%
z-hU}f;9&cQfMC4C(C4GlX<B+aw}$9(kGE=`dEU9;T^};?&U|KkYcs^XcxakpDW_Ns
zt}n#md1jn9n+ZK)Ibb&X$Xa1GI+gpFhjO7!$Z~TWm@w_DhXcIB2QifxXq^9RL~Yb%
z#AehDx!?5fUKWBwBmTWN4F1=Y2n`3f3$UDhy-`IWdUTKbqG;}VPp-`Ne65c-g-YBD
zqD649f{ac*aa$bUiAwy02!h`^5H!N0f9$_0sibPmJ|Qv%T~5aKLOmatPAqt{y#6|l
zAixVBpR^kY)M{>K@`>E5U5bukEG<A?ptu}1;utRc&u~G0R^#FiK!^V=_`KY;boT@A
zn^toRupQ$6>Yh3}1d>xz#gZt?=578tz(9Rtbybu1Cma=|rs-iUb7NZur~t*|#FO;!
zvK(n{n7Lp<HxBFiro<2VX~H-p0wBm#ayXEJVqe6dWZ#YosftpY5tlbU1T9{z0Z!qr
zg~oF*xo3(^$|y7~gjx)G0XUqTf{Zx)?I$5au0UkSU|x_|K|nWLZF7e|Db@k4#h;!{
zVx^3oE_%G4;Wfg0wF7zzWiu|*tt~R`+jI=8?h&!0i`<BuDWqLV)q@&YoWBeg;t0M5
zR$+-1P5zYSq%Akp8u{+eWa?erM2OYctPTE1YTpq=wg|t#fq5ww33$#C_m$|K5L{HS
z96y)KzRI&=%~~7!pT|(&@~VOGYn)2><S5cG4PXo?4EcBW9mqNB_~m!ZmsZYXF><^~
zW^3waosm#>CbM$s@_Rv^i)l&tZRBxU*KjAtxMi^%TwGbJPV9g2Hu=ls9r8^6e3Qx;
zDsWX|B>6OKI2uVEy~gxy%JclJ*Q%)UX6Dhd^PsS)$e`l(YCGYu`X-yrmX1Fwsk~^{
zL~*B6{K1s7aw17*Xf8a?k*i^2^KP?un6R8iO&x?Q5ww(^0LxWK455!BdEY0>?e&y}
zd&}$X0I@aTG=kdF9ChB!MnhD}Klt~+yla@OI!{Kt1pH$g6Wv)X>d^cNdir(InBKW*
zd|!4-a%ElNVZ-}x|4Nf>VrptwR21URbqDFBkoER&g+)csNt6XzwT2IG&wp!&ke#*I
z0Uzxh^niJ#xHRRjPwVjT%&APve|W-H<oG%0)30qNy1<q;v)%gVO~Q*w+Rcrn6>qO4
zv>dVh_IEhil!%;Hh9j`riu>!or$M5d^ru?_ho2uxmGTCF&E$W@!k9QXzYed-xVW&*
z2IKmRWWf2V<+?_R`Qs0rem>V@Oxdey;fCVDm*Lz`Tj{l~@js|JwxD+#bP6IPz82pX
zo3X%Ux2|DJF$k{4v7ZRgzkTB+{lI#^7M{Q1tBdmqxKSA*P%ERpE7P(74Q2A_ECq#J
z&Kh95iok`U{tX+|=+=&xV_dw9aC{{Zje~H=nmoibZQnhK*YQ?);D0jn{z~Y+8ihVf
zgW2+COL&E;YsdJ#h`w<5>w1>!!w{s|$MUT>d}#$P@*ujS{QaEu1&hRQHFUob^43G2
z8upcG1H3JBgXqY^E3Hu=mgNO+b~!O!4&bRY+&U6BQEef4bVw40SMV+txT!)!DsRZz
zQ|D6gsi)z3aQb+(l$h~CIW1ey1oVRH`$<Hvo<3fl@F#Gv6N`|F8@Lmd8;ZLXHFMzk
zNAW1bE!0-4h#6sf2D(rt5l>Hg7FT+fIviC<d-w6!iVtJzPIDjzq6tept9e4b)*zD2
zH`GUU#}!Fi3b^kr*PxcZ(lN7++S{}EZ_IojHe2iS?AR1aO8Q-ANeaQEAx?jNrK`Fg
z7foF)>nKQ)cp-e4(RLSe@A)&%aBayI@cuSx34f|MD4i=PW=Yv~Kv89-?<?bZ4ZMG+
z$?%ia_faj1M7P@GI=S3f{POHHC3at5tMVZkuQP7MzCC`TSD78ljkVlUO{y;QttRE@
z=OC+$gUi`Vv}<m3Tzneqhh+XELiMvfak*~Pl9fxl?Nr;by_hzR@Y-49nc04yRJw`1
zyIHB<G3mdu$LQeJuL-W8n8$?Lk$OPzE8%gIkmN^BBf{FzZT3<HXXugbo5V=I(kK1e
z0{fgpT_?3eU6p5|6yBOR-z)O14Ly}Kh!AmnQM-S|-q@NMM{TjkRzF-j3*`JDe%|Dr
z`O?g5<7$)8vMu04?B|k7i4aOKLGJx%BJzP!aliX}PI1$N^OfztFZ&IeZz@zHIQ|gB
z+hR+CvnKf59pm-DUEoAD4U83lp7?JO6A+M`&)0a>-_7M>BO*j}b@8bcvm@}>EhEg?
z&ZJ*A)arb2oO)EG!c1pR_O?`wi@8s`(C$NcLm&S<lz$>txA!mQe{e_8d_SW!orx(!
zV}MkbeW<YAo?r~xyA(~s4AsLywj-x`gj%(+wdA&Hg5u9zg^rbp_RZ*Jk@&M!b)C=R
zO>jze8=x9ECN)S_Wkm7!HSCWc&JQK3+S;J*4Oojh^z$`x^{$prnoz!HZGtvmcPId9
z*ZNorP(6MoeQiN_{fEc}c#kn{e5x7s`)VzYn{jBuFCXKD-+10$4u#D&I=s%Bj`KME
z7|JQmq=43udvtkv*JpztYa!<&NS@iSM*Kg=S2G_@Fuzd3lD$X3OjKQ8@Ea)O->}@s
zh#Yage)QN?hL$3-CD(FkBbIG~>~xT~p7jt@`^B==@=MvT4mzcEen?myD)iHoBrL`8
zL6`JvKSan)oCCR)Fi8YtL>F1%aDD36p`ydumfmKH1e^|MHd9~8sPriq$X+a^cKM?Q
ztH}WXHMNhRU#v>T$%(bS9T;N{6nXIYzX|vVk$lER%Jn+H%jR*0luP|=9Y1cA^8d8<
zmQhhg|Jv}N7?em!Nl6OQNOyxnhcpO7mmuAsfYRNa(j_1*l0$cQNJ)3Ud;Fj0oDc6=
z&!@+wYq=O^=DzQ}f4P6xb#2DznZ?RNLtf3MpnCj_lu~ZJh+ZCF9?cpfOo%w%joGqZ
zCJTG$odN&zGgMU9kWgE@fB_d{`MvYGfRCePSe8!7uenPsI*iPS1SAUFv`&+x8I@>M
zbg0CUFgc-cOq!Lo=?)R9_|%~>l7G`p!TI_3vcs&C5WMKU5FcEe(17j2hlx;wNo1AH
zh3m^zh#cMT{UC`8U1527^gbcRWY!Q=I~ekCu$b7N(si=*F2Y#UZTM(}J}$SUEJnd@
zHE)mKTk3UM;+^x+^4ti_+luw5$FD1$#f<s*><3s1Og=x@acp>48$sLp$a())Z)_4A
zw~MIyWhgGH9?o<P9%*Irbw9MG^pnST?Jc^_;bCDX=qX`k1+V+Thi_VpI3sx!uGL93
z`$pHQM}*C?=nnj<vQe5<p2#H(0nUmq6U8aa->O$?mi6abnFadca3^|wz^#dUAx=0~
z^PWv}#ITBokh5X79Jf-+c1qr9`SmKM9b0aQ08apl#LeafUEOWFL9^A~J)X*xChw;f
zjtjsCD%1akL6%V}o(|6;{RwLr9s^pS-E9!#$%BEJrSQqf^mmHcR_?7KBwiL&<~vj9
z_O~W6c5L~HP&akV#9sOF;YWO&ap82A;7}zQu&nJ=xo^1%z}Bn$ZTJ;v*h)A*hU#x}
zqcElQ)?~H-5yXqNXa#Z^>;QB^KY+7sHLO?y0~iQkk<;#s|7gAf&@eYx?};T~gFOXD
z29?IW2O#2BcM0CS`OdE#)a1Pw0{)?w-5yznZS0k_XAr_!&NqL)+=qNLR1i?Lc(mt|
zWAv%<;jaRLYL-y4$BwF96LjYd^WQz3sp%JWQ6>``Cmta`@Xf#h-RSw%!zDo6@L4qT
z7w9&ZyPw<4*>#by5GBiF14?Ul(}DKA`33}NNi2%$W}VsFcXG$tq~EVoBX~RFdY*92
z%lWb3`8ruupkT{0u6yf)b<AQsNd=6yqhgA$+nJV4$HqtZ&7^)`^>4G<Y9E$i*6cp{
zFzfYv;iz!p8V$5bXfq;+PS)ao{bRra+Kl2B7W83cLeHA?7VDow@<+e*^+ACWj^XL{
z_|Mz3S!Tzl?@1gT9iL)gNQ`*jKQ@ja4ac0NW42654a)5iW0o0)BE_wqdT{35xD~Rd
zw&TkEq>c*NnYD2L#D+ywNyIE9X)(4e0DqirQn&=Ox56!Cn}Kfs9EAojC&#C^kB0mR
z^MwA?GokapEAOCykgLk+om$Z}G2;Ee^c0g`cg_gHR6;cpP1~NYH<^8#e=$U+!i={2
zIka@^DZB9-2Ilp)q+e#w9HCS3qoPNx`7R(&d_{cbpqxrnW#(H{QR%BRd9`B3m*g=M
zrZBiTg362`FPpXcfg{RoLQCPui#ff8T;Lm<M`AVAC-V5PYOO9QD!K%_Jjs!FgKw8r
zJvPL%Eo*^%=^guqbSw#>LSD9SqzCIOA)F+~@)*?%uKbjU*;pIFV3K5{!(XgD{O9do
z_RV!2;VICVuz{we*8@jJg#H2Bi8Ftk+m9{oY6lhPPrV{x@&p8;iQ^8kddD?u=>9?T
z@dKs}mgIx2`VA%+sf(6SSek}9ucQs8VGRnT1NxQp`i+6wwK^slPg?-CBukeGj3sr^
z4Pe>6C;SLxKz%q&rI(E6ZgRtHVQJ}K<-qq*Q-3p=%QgV)vFvccnLqHCkP|lnfIr3p
zNm3{=R}Is@^E2NiKX9btwW+wocoINtW0q^GVgoeSY)C-d1HZtO+IwU_I5-$6nkg(P
zIotMysJpw{N4Y@U%gbvgwSnT(<Gp}|oL1U8%JoHTu{S#DIpjUxnhShX`&M!2n)#u<
zv~Dt?6qq`|H+&#=O_4_x=z!lCWQwBMS71S;-pTBmhpwsFR6N!?UzowID=`UjzG!tX
zC#{SKIy=*Fi{$Hc`BTQ<PV1D&^M!ww*rJVV;hDBe-kdmTALL_w62FV3Le$-iB~7(?
zC(A-b|1!n+&nO;JJhdNt8CG{LQ*Kf9V`>tGMq<bXH1j5U>!sC-+DZzwS)p)_{Ia#h
zI-VkEXxx^R&?M$Md(-RjADF0}@0tcg8B}72>p9>zZ)0CT8OqM1Xl$&A61BqAI_=ov
z9w@I)5Nr|r{r(Ei*+Y>LoU_ig8N!Rl_(Gs>u|iAFajMs>%*TdL4;`Pmei$5FVvlU{
zNMY+ah0=Z++;QJ*TPtn7=1Ii;1HrHBE*_tSZXZK&5+6EgTy&$<1`h0FV8Ncb2<*7k
z39zNLJo6OfJul`7Q#<B5!#1rVtaO~kL5F#1M+(G5*A?N<2h$R~buS4XICW$-<xcdV
zoqy-bX;DQJ;nL(E{n{~7)>FAp6ZAi}k@PzyKl12I;JblyPQTBenF|_oz<NqcKgF+Q
zLL8C#E{!0(l124z1C}2P6^}qe(W<7?oFBXbHi6EY_+0xI^e2~2x?SVlK~-%Ts3S%i
zn6d$phD%}@8qA}F0<SB?Ge_Ul2JeOjNwa*j;8az_4!58!`0M0T_PU?u<Um`7F$Gtu
za6oCfE(OXH?GT_=RUyMCpSs%$?<11wskUXHlX#PCW+csP>&Ih4p=ML;J68VJWnt=5
z>Rg&YNZD-PL`NxS;<}Th?a_&VHc>~=ul?NH!v^^3>`RG-#%fO<tj!~70r*6Y-IGy9
z8p2CUT|*A-E4CRL?ZG+1F85mo5{|S3BPx}*abx{a(Jdu-BCux%Rd^Q(yj$PIq;+-l
z2HpK_dni6BXmJ>g438de;tWWMxU_9*nF!>RKpjNBB)(6tdZe326`^Tn#A@w5c!?{Y
zr~klp>AvKA(%xML#Wl9-(L2b};O*oHCy7J&Df_5rc|+8qyu?$IXxPI<7bw&)p*j~<
z??z?LPV1fVwNI|YMtS<akP9zfW<2f_n~hLv*V}1_mK)aS3EdUWY{p^%DU)FefuNtp
zZ=n@Loc7E03ny>3OqY!RLcezARXKR=8AJ(H<Z(a}4D-af22JIj3@N6p&vNd5&TtgB
zd-2bD>yhG9ud0iS|3+CRzl(B^IdlH^V`Tn#fy{dywLkw^UKzxhszIyY8By0@*j52;
z2D>>+pLAmEnZ~6eeo54C`DfbQq#Y*e$!3E6a9sC3d%j`mOnReNfR)u&PC?!TIePx}
zr<c>pl;gO*<wa>^+9iQ06z(j`ug94xy9j?@`jN=+Ru<W7W><cv>lhLj3?3ibjJCgC
z45aPZO|_T_L?MLj^g16DjB8vsQUttYIWB~U6^tGN)m(z$Il)w^4@z2iso~`x7ZR(~
z#jaNwjVepW*)uIfJUFW}MC)%;LJ}u?aZOQr*2U&Mpg&SRM@I6)1ki$(tVesAaG79(
zIpukYpWzF2C0|4{|2j5i7xDO6t<zS)nSYPPml9V;E!OhVAcqP(8C`h|E9&gc|H=f<
zBq=nw0jd*ge0JKe^!sh$SUq_)ObMtD?Ic7kF8}&AcsT5qHxpRJ{Ww(G(7@W8DLEZ}
z>(wVC_{QkfmP?FVe~O0#-EJEantw!ESsv7ulQ><|&YpLEwq>hU%%+SnKcZ2(GaLz$
zA~<79sq)j<ip`(k40Yv}B+gXj`zGLb>)9ozfu1y2G`~6eMt@{oM-zMIuGwl<XRUag
zxIc9;(mL$B5i+~oiSl#?jWrX*bWp2fJeRlox1tUYXL3pFmsT!cSw06%RkN$;!YGX4
z2N&qN70`)V&$p`FevEn#Aa0KeETtYrCo#^-P>7h)U$T@?Wae<fCi4wdb6>j&<_wfl
z&)edu+<@cAu{<xK{R5W;!v5}v8G9QV|0<HARk3-$7~F>@9Lnwn=!uUTp;J2LNvb^%
zMVs6T9<%~R*6C3yjQuAon8s`gtkd;xIF%`{8*duQ2SvA)2L_{+I>g|%T_m!#WZKc4
z5mFW^QbhXuGY)=X4T0a7f~ORA3JC{ID~S11gB)HCP>lBD3n||2e@Ds*@U%kK*Iy2;
zR$1p%(IfR&ueVVaE!4ycLC-HXHMUW{ymvmYw!faB0Eg}kWtkCelrQR^xg~ARpeY|}
z9w@JDlD>9U>Ryu@#(i}v0XLA(YpFx-UpD;RF388?ryZ99?V?rf)i=UOsU58@vsE=S
zc7T=6l^Rv<hAId#)V8TL5^f}<4vas^hyOS*AX5(ZR%7#t{>C-(X(jHUjY^+i-X@-_
zUTVsH%Z$XDJwLARJ?6<=E4+NUQliiCqwNE{$PboP4}X>Nvd!KmkgyzH?DmtrYt5x-
z29*sk&dtYPQFIZ3+0W*e@wgbi4nM}}&>}Yr>f>mlWJ|hr0_|P`h*Ml{w{>=$YMDSt
z4tClLyBNGyEWU!(^Y>BC`xj<MGXh4T%dn#zFcrYOs_XGRWz1Fur;0nVY#=&+H{pv;
z-R@E3OywNh^d&JY&q~F#B*%-3{SlYOz9xi#NFwnB`*f{Ze~F6u)G?n9O}&iNqlS@_
zop6V--%W(8v-J%_bwvG?F5Ja?$F<C++E=xBK{hXjMTNgjv9m>}N=ws{`AW<@zwwzB
z<0ptuP@OJebU@~hb&qEQ(otIiQL4+DJTcUAn!T_emOtnpRi%EQl$Pk5Xf;7|fcQ)*
zT=Q~9L4_7yC~{WkD5BA}y&$S|g<F+#aY@*O?<KYc85Ae>p}0LFX=Cnv(z^==k5bT!
z)F+ChO`voomZpqk<B{#Kz#;=El($oT#Q=z4yg$mLJmckLndR4!yDer~==GGwoo6-@
z(;Vj~Img4x=1!dB<;85He7&=BrQ<dL-GwjqUem*OnweFsXi^TZOwTcZp$va|)hl`a
zx7l86G9f`nJ}(I_J*lVzw{|q@I3){q+uZ$fA&QR(q#4BIG!Fmedqvk5;2huQ$Yz|L
zIM84WXv5j#<nA6oT4j$Q)z>m4@AoLi$MUiq<o|p-!LWB1lcPzZl<bNxE;&>53rCfd
z^U|fl1Com4fzjWFB6*qQrD%MXp;;-Y%=*bGj9(7NHI=6WpF|frsyZ;yMq6gL6H5(5
zqqGvp{`t0eHodUItr_lB)BHpJoyFjc#R3O;T|v6C0=?QdB}%c@MNU+-g01Qo+g->c
zzb3!4WYWfroz=@KS6!d{u+haUyLV!*cF`DgdC#_rvA=4}Va&nljJsRg{M9R+Ep^+Q
ztRV9k8A6(u@vbDb55+U9`xuO$Fk|CdzB-mn^Y5eF!di<>!)<r(%qNx(b)S((@$B?h
zT*+XUU!XeP6FFKSjg<U@tnOK+dcl*ZCz7Kss4O+9niP4qvEz5w7?Q}pE0wTCw5TQH
zFJlv)S-(=2mNBypiNF%O&NG%z85cW0JuzGGa2k={Xl-{nud=usJbrA)MniI%jQ#F>
zztloDFIpd`6MkYi08d1%*SC3>O(j_Tt@uz7NCA4z;lJxJnV2{ry(or5&!d~*=BF!V
zlw2sW?tK4?4f-G&4*xMrsGV+mt<)1y^P$y&4^P$>Yu+DavRPrpd8*+)Q?|}O2oLFI
zlmFvgSr$JVex4Pge_a9-+sQ0ihTZhJ>nc2)9+jQ@^P-Ea4OTj<CBG^!P2RAX?~gF8
z>{)R9jKyZzy-;`5%_47NMRvsC@^LEMz9C8`+UaN7-wc|!=`wGAi`U%U7*=+fcE<JW
zK6p#!_veI#a4zAm&FLu&`TZIf+t>UdCmo_n_A0_Hj`2_%uFkPt)2vP05R4Q%1qkFj
zfeMe2$zv;6*O<nIeWw?RQ8Z@m>Z<+l<;4{@-r`W=g%N>mo`~x8)(oGPFvWW<l5|2w
z>VUt~AYxX0wHnx#tl4dTyp3N%O?;#6inD$eqanDqy&w{kXjL9rvlY3ialhIwmlDE|
z7AN;K`vG0BJTz}Hx{@c+jizB1-~aRa*}gIui~Gcc`UGR-nDDL?C41-R#JjEt3|~H&
z+zJc|wZp@Sp0{>fcwT4ie6$Q>4cY%4{|MIRMIKw(i<jt1%&YBU;=p}5`tyb{(CI4C
zy{=E>`ePi=<BCuZM+a!ipZZGS?*)^89+Ve!>^^0BcIf{vwH4tKhHm~>R1}}mq8)u+
zb9R#kA4(qMZvWDM!g{!UOvPC6I|aL-1svuMMD>4ZLK0qlt|b)}HnwPGeeA)-Tvhrb
zeJ<^}Tw!O~@oR^T=CLLq^s(1g$k_6R_)V?Um-UKQDX0f=;`C`sZLkPKG%JX3aa!kX
zhm!JJLB4Iix~9w^whofl%VMRH)I$U}Az{~Mgr`PrPLL%HEPu&@@thY<6Hzm2)87N?
zvtr`5l+F9XL}$o6v!QlglG^mFTJ{1er8D!~QGuHN>_N~+QE@g#YR}8=&UmCdirJ%i
z=i|k;)$}<EoE>TObo&By)OfaZ@YD_pwd3k;3x<M%luFVoB4y7E%pcI=4B~dY{?6LF
z+s+a^M>_Pq994TQe?ZJ6V)>6woo8k9@LMd|#GSM8$k!HriKVN~pStYW^k~-X#L<ln
z_;lYb>ugattZ;<(p-6V(It<8Wen_NHCFoe)kfWxQ;~0pqDiD@${8n0)CfRI;P5jJF
zK_BS+pwXoku8Iw1VZ^u&bWb_-q&V!xO<!DBDiHYJ#qwSlV^9&hj_Q5;%=Cxn5DCYp
zX(8}B@Fms<%m158-JfE?C(3?-L+I#eG?mojzOAzE^ju|*LaWU^s`*ohs(&ZB@-apb
z&A48DB(p)(D*67t2Sb6<>Swcgb!L6;SFHw-v;NPj=9>8eRF6AI^{Cw!L<%JtRQ~#&
zCiK@PX=15POEbR27hU}}5uK!1LN$II$G#?kanPaF2PN4tBrZ7bVQlOv_vSBf#7u=|
zKI%)w#+F)WhZywd*<GLJ*r*|o*0I61G_hO=rCcX)bl0gyeS*p++giEpKQjvKlJtl7
zn`P`|6h@t?>56WQ5sP-QaQHfxgmbV(K8RJl5zD5i`dkqC-nr@Xgf-`ge7WN&vHo=#
zN$y{Za18Rn4GZRiU?FaffM{2nv0D4<+qnvRcMo*e*n9nn=kkC2m-Tygt!NV=ap{Ci
zwPgKMzu{jB!7PUqiLoiHDjlz`&;D9Rz;?pWvOb=ht|%=E&fRVD7TM>LaK}9HvnY|e
zRfapijlpYL_SXSHKW`R!dR}!UF_Owo^#o=75<9<7GK@-mDYjwSLY)|$NFdTH2q$@6
zYq<?a#)d6rQ}1oNJ`J_g61ceDJOu$z{wwqU35SON9U-xM9k86rUJ!x5j|zB&82{i@
zgrL)6TC2-Bf5OGHGeAp&{6cGMj+zx3i#T_F8lA9G9C~gKz;TW@zRE{>?-^tqi`9<c
z?^g)bjIz?kzTXd|Qq}Iu%yq%bPa|SO?vhS<2a3RKy-VZTB_DrCV{pp=rR~D7okNNn
z?Lp*&;-sc_`RzYJTFR?#x{c0<br#AZ0qs#&Gp$sI-x-$1KTCF2>DGk~#OllKIJF;5
zFbb%+bd=<BYSYg5Px2$FWDyOR@d|bFyKy;B9RG=oAeST?9OInK8BKU19&PSdV*Csu
zHOMAm_gm&Pg;1`mexS{kT|;WtgUY;WZopodE$JSn-wQ9N*CIPEQQD*$?QiK~+JHG}
zz}uCrjmMe}VGlIA=Wrn9g(0dtT;gdlvtlb~>u2s8o%U>!j3wc3iN{>vR6hihEyC{U
zqZ@CCRo1gC%km>%y(vZE8$8w4m6eGTP1w2kX1>_H%ZBOgOJ!zm_0Uk7Wbj3drtLD?
zU^$9`O;GOYp(g2kaHwVS1}{8^g>m`I92ij%Hzm3GM58QsuH5!%FmpLu0y#eLf5~kA
zXDNSA@FoV7S4-6{K1-GPEH(~Pc}Wu4dukl~z1$zWW>S$ghEVAV4`I#IU>ONc8O-RQ
zzq4~t`2a=(WebYg@>$8*ztMexT`2>(Ru*Dzk=DtKQ+859f>3`Fg`Y{k2fT_Y_%{2@
z7WVGSUea@_sLIxiwR2bEoncU4?{_ldIz5CWsm{o|;Tj+Ds)$gCVjI1G?Bi7dBNo(^
zcM{Hzt;XT1x2DnxtdFtUjS9GWt$X7%rTCV{9y7^pdqeh5TWic)2YJy!MWLE7No(Hp
z+&7Hb(l+S~Uq8eRor$$=5wUPoTB>Vw|JnI8>gaGz-XmU9sAQI)B_@cE0_|4)8dvI@
zlVPF$1#OvEQNrnZ%PvN(e4#7wuI^^-ar+Avdza0ZbMcLV(I48D3^{PK-fvNpp{2Kb
z@1&Tp&E-ChoWE{NwSrTM!R2qS1nEy6K)i`1oc2|o)jRto^jQ@R9Ci(vWd7{zSXJ-d
zrS)#qwpnC5prd8yPv|r_9zC^C9kKJ~3q04|#FM>NvC6-0S&-<e*XQ0(W}}H=ldZga
zMqEU<16zIL<VdQepT_u++1;ASs{Ya%t7hVVHA>aJROsiP+q!v`3@-B}m_u$Lqen#$
z!9#!7^3yI&yh#?LXSC7%W0ZngQaflSL1N<Omr%ooBIPwFGD%O}R$Nm>E>!Jz91%Ri
z`BZqjcSOqWakJ2r5D~FMjTX~w>8fSN4ktnMz>?cLMWS)B`>qA^v4ViHqRFtVa$*Rb
z^9aF_rL^(B!-$>fcpGG?W|Zw4#<HR6?~ezWHnKRo$>~b(KBIh78Rv5IHsLrxWzH5f
zMJ+M2bbTwJecTo)xvk~M6FQC4TGTg9w7JKoyc&?NVb;{wtQLE;;e(;}4mJBYjZoHv
z08NG95rh+_^fZ1g@7Bv?PKzkNovck3Q`h$LS&wwQ?mLU!CsEEH*-TSnM0StaVK#)n
zVAm>~Y~kFVIeDg*)f?01$&-P{j+1EfKSKHkzN-yYnC!2UQ`^#ClBcuH2_!V?+O(uA
zEZaSPtFPL%O%r<=YR5s!r!sEpEP)Ej8S;98yRUO5a%k5CRWBjp?1OOxd0$7p7)oY$
zHz-pupjPY6sP!AyQbULQTJXTJ%4KVe50<Y~bgp0h{|iJP#X4uU(4EY9cj<oEsYPA0
z7<5fwz-=j@08V+?mE<7b`JF~hU+a0nV4E7$7vnuLt;#BOHD|ICld4?d1S6iuaP;wd
z&SSYy8s=%<PWH1-7d`7lHHC#HF7b$~{(e<L&G)VDOFL>gBX0~*3xD!c;gE{2TBQu{
zIS{%QbOl86MylCP@VYuy%*z$3a8jnwr-YTT#m65eN#mCmWS_%q6??ZoIX`7o;WH!5
z?(k;_SR`{~EGWPe*h;xN-h6o#(irdVpm0P}YfZE7<^Jk)^gP4NC*k=56+2rL+o3hx
zHf8PSgumwg)XOPQS$<s{u~&2tXY)ks^#VHq^4cmgP0SdVk(K%zs_)+tFaUxr_d+r)
zjG~C`{yI#XJJI}eH+u?Wmhy17czYC~$RGb^8jC6uMoyd$v9WC3NR0)*+vl>Km~|~T
ziY~70WqS%ty0Sj7aT5_0oM|2t62Bc?6z*~}^<*v|bG_{LeT;qbqE7eE%J_0qr~`U2
zbPXwaJp3)rgI^04^aqCbuTfhqKYiHWy~n0McM|pZ?}iLcJ)((@JP%Py$t5f-EIb&0
zum54SGnCuqfc)s_XzA1q3lGnKxh)U@K=^mmVo7{$8J&4(!Sj})$m^lY{-MJ|YA1te
z@h=t^e$x--a<mxiBd>}&#pr*L^^R~S?idbsTXQC2@YR^JcJU<2(H|L-n$V2?s^C?Q
zt)zE?a4QOL!}XwYXSPQ&{b`1!%dn{|>{$72t~Xi2HdS5bQat0KPaw6aeFPGMRdebE
zGS&s^hZehn&<9B`sS7$%nRtZ;6!jiIzM3t`m<>9Wozx;KnoD$|b3~`lJh!sO+eaDT
zwQ695W+h9rQP36NSnI08;%2Xua^&L^#Ci1co`&`JCwqmBN7dRVB}Vy|FRUoP@m~0S
z;-I@{G`5C9v1TnW+&3vEWReeKV{PS-ZwL=_$E4IR5=gBJlOG%A#!t`rA})*O&9B-g
z0!5=46_%$iXf!=p!Ko>iiLBg()kvdf-KM>eVG9+w5Ms>w{q7TXx5_=4scqaWRx77G
zO+#8u_WRMdg5+PYA2ABOO^L2!jU79|vtgrn)0f6n>n@=VcG7bEG6hTz#RRoP+`@&u
zFK|PucXu&o_|8LD*kAu;Dd_YDCi0vMjaxfw3QVDixKq%an0yTl^`Csl6`@xaD48vy
zq=Xd|6m+m2ufKv2zCuh?<KjB_zD4=hnB#dG>(1`dq!;p%2ivyk^u<6b-;=;Lq@wYl
zl$4kJ2frRde5x%cS26=hw^t&;7_+bNb77B6uC_e6WES(09GaH=oSdbm^M%h^C7pcx
zji13eJpps`#VY_=O4bbix5H8c6NZvA>)<KtzE4PhfnRzEnQHOAr<U7<i;NEuzWq9`
zwYE6Gm-SOHHUuMtQ76-IMoEi-wyI5(;<Z)9*N=Fk;U$Ae<g=2Qy4t-mf^ASI_X&9n
z2o7cU-oVU^x|*`@H&gcJ4VVV;Y7chh?YMfh=Y73i12<t+km!g;@?G8o)NC|%<#eRw
zjua2`w}geBjxb_Uo~7bBrt&17MD|z*(nhJ*mPri0f5%!kT!;(Y(L-Bv4MoT8;qtnZ
z4UzNn(%w%}vnmP*YrjgO)Gq}YgdACz@O4lDeX`o@5`)U_>4b7F8uURGkxZ#Sbj{x-
z6Jvi@n6OM=JsZpK-Zjd<_*kj;xm(_HVx;1=^HBXlKXDg4<SUha2*rmrwBIjSruEvd
zrBB$RT0ZMZY;4T5f3kPa&c~#UwjfW`BJ(HHONO!)-x5OTg}vQx9nhz*&#&n#$)t8%
zl8;FaRll1_bkNla(DS~xNiPmHmSCBJc9F-_(M>&g%Rb_&Eu@{1HzI4476YAhj}2a|
zRT+1<UnJ?kuQXp;tz?~B<f2xTl;pHxOn41+BFjIqnRKczM(mEz#<cGSaVN$5=qccr
z4{kIF12zEQEqI@>X6irCuCa=oefSuCv)&icR}wzJd8INZVOXIN5gF+l6@`tEw+HjH
z4F=xvy^rF9#}vW&tTYrV-XnB}l&cr6zxY!|PknX0>YX(mRdr>q-xy3G<W9uq{+y$%
z=0^KZt-ZT3kAF}3wlpWlBgkE~anPLC!3?9lyD44)7p=r0g=EojU>46CPD%enhcIoY
z?|z~)S5nGYf&H2}*yG6;eeeJBPW@GVB;NzAseMJr$jTq}d)6slsU--N#v~-1Mr>11
zIePMp5(D}XQ#pHP;P?^rB=!e3&F|-GM&{nX&kmOjtl-v9%mtP|h)&&vW=))|Q?*k~
ziLEI`y(Vnif3B^cijjSMLK$l|<;H6(az0dt1gVYZRMk~bBH0?wsh8(C`e2!FX&#t`
zfg9#%K%8o+;@wQ@W=~i08RJ`TS>8c!q`(mm;lu1O)2im!iQ!8UqF&P+qiJn%`fZ`}
z{NJn$vXb_<sP9!oqOXQ??$T!BRR<T-vtEf=FqYMQ8XtM<xN-2%KDqxHVcDwKk)K*l
z)`Gs&<lZz98_F%`sg%5l3~52<6A48ZZJ^i*nOdZqP20e!Y*m{R9xRNP@?@&LcXdLg
zRWUU##eWFbklp$j*m+>`#8MzT2@~a|7#KCfY4K2l1zFOz<6lWEonN!MpIODk#0Ue`
z)=;hmGqpdt@p__WX5ViVxQ7r<B!hDEg}mLnc&3gruhXJ;ar%H%9H^AfShOIdUl%=&
zF(69_3G`pS54B@mfzI9`7<cILo}8F?_4+l6m+8{(ta&c8X?#3$`exN=a@nFtevkPn
z=j;>6-_sMCy^7(<;Gj!UXHNT%$9$Xbd`K`E_BjsN^oUz@i7-7e>Pz+{dv*GmjB58S
zW0I40H)71tnP@|+aw{M{+6uQ9t1`1zH~xE{-a&<U(^48o;k`f2s0B^%0aL*-U%FB1
zt>`&x(eX|K^ND2HoFM+O|3C_MSzx5y5#O58oe9IQtKB|3XO;BMuF)Oia3t&WCc!yu
z?}aHxmz%yilQ8X7%gMGi?(?fD>nP}|rEG^sX4S0KmX;-YgUypq`W4rYA%a||$DdXY
zIj$Q9d%ZKSNgS4RLqd{y0_8Ei?=4mP!@Iiv((;-32tBqTVdwmV)^vEeejXZEF&Ndk
z(K9%=Az0w=UiS^Xsz1GlhwB6@XvIl%`|%siN^w#0zzOPG?FJ|7qFI;ig8a3+vX;9m
z>hNlyc3Rm<fA`IMCH-P@{tnPg=^U}E2|EDxL?8+U#4>kCw8=R*aEU_mI@XUj2D^&N
zno%JxyVa8iV=4-|M>RKILP5d76f)RRQBgqLgWO8WPd>jjUQEZ^uQX%%s`o!f?j9ce
zF|r?!nsw^^dvx<h0Y7#1!XdWH)mHxDj3oer-(3!R>rKF(L1c5WQBY967oo+xKu1Br
z!c-NBrzjN?d5=v*L|@wCl%oyZB<W~$JuU~*d=Ovw%~pQ;-U`-#!V|xts4bEcTZ_)y
zhJUeyBoxFFgd*M%tl8zzkpHk9XSW#xP!R!jb%%rkFhurz<qF4vdgW?|px$3a$2}@N
zJsc<yL6F>?RaM6xT@NO6VIKeK-wDb5&lkK}L2JVDYDu?@kB!yM;4-MzV*aV~?~r2v
z#JT@-c;)N;Uv0YfFaOiId;eTbO-%y;_Ymq?Fc|EY83%%Yn}Pxfp~a1_?=d_shO4ta
zHaTgu{M(;^#Q*}O!2uXyR>StEZ?t|qwQ=s{8GPi|E5bj^`{aXIi{FqL$AMeHlpl!O
zvblc!lIyg#^;<N>dQC)tqOQM0l-w*53|u1=x`BEd#3v(z{K7-9u5llLz{>4bB>{(o
zt^wnN)(*-v>(tK|qAh*^1y8_ZPlb?nO5t;U1_b2Pi|}}OcwClzpFoi5+XMhhk}kh;
z>v+KAP6uP{oZsA>PJ2hkav+(PPru1$puQZ0$MF2+%Mh`^XUomkdpp~isPz;p(-Sfd
znwkV6IGolq4z25$0w)nVsdPd@Ezy$Ho6i~nr~FZM6+olX^u{ymGchlge-OhDQ5;Ie
z8mt)*@yOH{0m2bme!avCFeHQfyIT^0mm*v%ZJ0vH&wqB7*8NGM>D>ofc_)9TL8HNH
zx>BAbIpg}@JtYj4y*hDgnmfDn(B;N%9sdHZ5Rm3VkpIT?XM&kr$8A*zLX@1(+Ufxk
zd7AaEKjIxVR@1L)pP&;AIX=YFQG*#9!wH`Q_25OrmH^}2+}!V_rF$_ID9Ao8HP!fr
zqAjvODAr{wHy#36?FyGl7xb)m5%(+d2XODYdBD>9;<}<&gAh19a5raS(9QQqUM*x`
z;!jdW1_cbUEC31YQqrg;`mE+=JsW*Gs;|18Jx`HI{K2O)gHJ~X3W2EpqIU56W}p$s
zX}wX=McM}Rw}8s~aX%O9$E9CkbBu_tK5lzei6<7$72W_ajkVedgi3bH-Dz0^;%Y*d
zmJI5wYiG6pb}<<lBm0F3^UuzZDG8pkAs9sR6w<xmM?hl`Uk4%NfY@u017MTOhh1bX
zYt|@U&Fx)Xy}MaiSua}rKyH{6i}iGd_|R&Hp#6&%At1)u1QO$#=c5Wjp_6*<7?1-%
zREwh^aH<+;B{g)rHCaX$BTEgO1Q^R&Fx;FuT<t=FR8&*|-0^-N1*(_iS5xgS3e~;$
z<iOBYnJ)6vz3PLdsD37)prZbssxU&zkZ8e>i7E$BG03l&*DAc$R(|RDU{_UqMY%;q
z40xu{%jz8Xof&|_1LD)4%w+`Fl;z^ew5m}z2GgHF`V!gmRk~;{T)`5j3cue-!+Q?k
zuRl@-T@F_|bP>Dh_v)cENKhgm(gJQL5y#cn9)jjzfKFLj`YW<<{Z?Lby-SYY-dC3z
z$7fj{+jyct=PW8Z8VTX5l$4b4{|ebI@b@Kim9YoVY|<d6%|>!$bS_m}7J>99ig1hq
zo&!3#Ue~AjKN-FRjHO`g0=x*?S*=zHi2#)d7bW0{kP0X50OIulgF^Q&fyDvS?(XYr
z2NQJ%fkHP(S|v3_fv-1Bz?0hepQD|p`P~0?Joi6Mtp7f-`+xnTnM8z48$b>NsEPM`
zOo^e#fTNrTf!#amVbB$bd1tacR-j0SJN3g{1@W>!IQ$)=N5f|VlL||BuVZDueEC8S
ze4SBeNGoMHzaK!Tx9vJPPjQ0{9^{XPZwT})Nop`eCRtn#48X@)O_gV=)M{&JeC-Iv
zr=+Jx4HvvJ%eT31eL@C4QCM6YS%>L;^7_c=D6r&@K)Sc5g;D3{bK#5=I_-Jr!LcZG
z(=YfH4b5X#R@Sd!VPJMl*v^g>F(6sH;D&|}##~ulJp`B?=k6N7(;Eb^_jf_*L#rz*
zL-`71z^gf)Dwd*x!uI1@H&#Nw32>toDz&%qEjN#VUj$(=aM<kcn6=Qql4pC{!sBv1
z-a2Z!-jSiQs*1-ILLlJAftWsf$?Ncx%=^af8dLqF8aPmGl~B^sqQ5UHDe(s|q2X*P
zgu*PscY)yGa<Lp}2f#Bc8(N9yAZz*!G}8`%{O7+*A)=`=AI%dfQFoqk3I+ul5bzW(
z8eaiIOOE;0wZ7n!C@Co)Lds$AC{8%XN$|ICtssl)W4xZ<2MU)L8$$QfVcEDka$sFP
zY69*PbOII#V2q#wRvCs+>4G41W*cvgdUg4ETgQdlzIe@A*E()H0pbZ=5I3O7oEXc?
z%c=FdkBOQqC(HE1fj>YyD=91M0wp36<kO!%^P{8Daxz-^lwZKf@|yheV<46xH}eOf
zRvMC1qr=1$|Bi?a1}q8{1tk)65R!J|qoXMW&Zdl%B_#u397NQgTggwiMy0M+$?oaa
z*VpYl<KJk$vTe!r1||UzYilqRpC91<UUcyQcoB*Zhx6VXO)m{JfgCB~#TyOs%UiE4
zAVpZlVZSE*nwwjLEfG4hIh>sfw$Ar=6T9cvxtM|%!bAdYKVWQ$IS~=h&DXjkM?i&1
zd3k$>X46mtD1hDp;BZS0&;phLNl27>QS7T%uW|sb!aJa17Jjl@yQp_mpFA6<RTB3@
z3-SAtR_S1Qm9D^O>uW$HBjeVjw>_F4elquIP{yf2H;PJz*Lg1`N4+Tb<ir8Kb6R8G
z;MJlpD=iJ24a56Vs|qsrW`5G}A0Rt1KUivw8a9go4>o7kra_L^<Dz_S(WFX-x$(d+
zCNc3fpg@xWYcQhgJWp+GYRc7ccXVVglRXR`FG7J4|K%}QNCy3VO-;@IGuMOGC)ALU
z6rN8rA90cAF~Dez*192$gG^Ko7#fD(BABvhdWG&TjAZgh;hqk>sW29TwU*DHKj%8`
zOu%p77i&;-w6}L-3T6+}f&YBG2VlqbyWO{$Lf}!1Sl7<eAVrK>RO4b}|85e$0rJH=
zV~*}kdRxFma_6Kn6{P{sQ<QQ+3`80zX4n5k@!S|lRd#Ur(TEW$N$DRL_|BqQ>&|*O
zOCtWq-k*!j>~Jc`$XJ0&@|#b*sYl3<ghzHx=NylhK4Z#)hX_QIeUO*@m_<W*+)lnX
zrh!!R#r4~iGNJp+!I9HReP*NxupVF!8M{Wqsdi^;6$*=sWAsf<-2|NFq@<*{T$QYs
z!ua;UQ*UxRtzSw2a5PG!2%r-_YM36dN{E9qTJw-%Q~jUU!spAJoSb||A6q!h?0>p5
z`A#-hS-EI@1h94If;I<y|NI?TLte-27>A8i=N|p@P%@vtlOz6SWheq~-at_?Fk*pM
zqxZ&mfr~2*czc79g_Y@JM-tghd9CLG^GlQmX`088OhIL(GPt$El9E_Gk3$Jpzm_q?
z;9^hoC5TwLfTZkWFEI2R&>j&5duUFgtby8OAmueu#NBcF{l}JTu-oxlF8qN#fiDC)
zoz$*PdT<cQyl;2(*Nq&G)?^TS!}Izq)<aM~x%L{M#=%Z$Z*NCCv*gw{snQJk`ZWUa
zzPfoE#61B9u~=mlm35gj;1=V7N^B0;2r`1{3P+b7BLNu1Ip4q2q4+oe2gTVC3Q{h4
z!7}Yy8|#`u;HH=^qUL^q8`QcD!gtUIX|GvqaOx1XOcZd?U>AZgzP{)on0|8&tZg*w
zZ%OR}JyHaz`(M_*^MSM>B<W;MYm3UcEeF}d!$ZbG89u{#^&+*qAa9U)Ce72H@$2?{
zxdSaJSx64>0^nlxf82DeIPg+~#eR*8TJZh*SM4*9hxS~LXmso!y5xNQ`V?F$s8PT>
z@EFu}#%fFl(-@H=5V=mP*Wb%4klQ4`S^R02-8g5!A`M=&9@zlO%kl9I^LsSCo`UJc
zceY!N{pmvb6OTbkuK%%*CR*kJxhJqH{J*rDULg321P(31RCRS3?*W>OGeyAt1;8_2
z^xJxY8w6$tfdI<6ohgwTL=waLulcp(z&i&LKEU%O74FnikMN@P^}G;Y#iBomlI%HX
zw8^X@LCPl4AV5wP0SZ|@bYXJUwf-=gCs(djLLlhD4Z_y?BDKtKH0DMK<mYM_AB*)2
zhrE1=Iwd0`hVW9-_F{_=;0q`Xo^b*J4?<2)UnqCm6-pckd>YU_`27V12u(nIz*=Pi
zq@COqM~XsVn=i;nIW<dF>DQ^mi{6(7j9aY7fh5S|WLOH~0|@5OXrj0Li~vXoB79AE
zaS7s>NdEAWtG2dw@Wq8oduJ!-^*)Hq$j`qj?8!=o5{<7^2B3WP{IJ#SNXGB-91;-|
z^93jaax&n9>fl3LfbNJ3Wa&?`Z6|m%;1)lEAk%8V0<IMmB!(AY`)SAY4h+~txzK?K
z4iF7pk(5$eG1^ro7(RImyFdgq%BW<cKY6maSPu-TV0;T_LLdntW>wDD-I0{Zx4HmH
z!^VaUVKHp~YH|&>eD`irQj*E_&G!2i1O~L<qzy18buxl-m{C?%7IILr!8ly5fPuKV
zAy<)fzjQo|Xr;Ev2g3U3q~TADjg3o6+m=5%^exRufBg6{xR*#Yfa#Rs%y4r4;G;<k
zEEy~)X*>rhc?O9_vj>mYdBfrdz|M4V>G8d|7}>|9g`b$)Ve>g;DN>5G6@;Ya<I9hK
zr&t>=|0GW}xpN_6@YIxsykr!W$L;AP#0OxoKK6QDEI)zxA`37!U2wp}i1}Suybgo)
zbxxXjQ{^EMEv4Goj2lI{f>th??<U^?*aHH*1+w4O&zOQsG<zV_K_El5w)!E2?0MrA
zMCgwpKf?XeF;~!ZhxRl|)Ki4KNg=Rty61{uKE6!l^-|05wh+=_hu1efbifQk4@f;9
z0{8@Q0hx`BI)a#hN61{M^n<83umC%-ULQcV{jUko$3B=*ScqylS!(^N%6VT8^nS>}
zRs^&obCtk}L7pa1Yt85<_dkXp<W1aUx^k8!s&bkClxBRuUab2>JCMTjko@4)ImlKZ
z!pYH#9OrC|AXf)ltl=0~WN$QAa!=JVLrJ#U7KXk!{*`D!Ny+XI>klrBnuUqKStZo8
z=HEaKiHT@Uw12~?_|Wzkn#h*hf3^<FP?4hX9?e03k(7HhbW_o+$d(8kI7Aq5OjOOz
z0_(rQ9&T{n=M1f2#kh7VpotDc1PPyMtH;9n>maVP@{?kM8249ugb3q$Y~q-9QxFj$
zN&#lI5wMX$e1?V;<x_c`{%SycPbxr_*s|%!5bN7pUCn%6Ud{p$29<bK@2%H8wRH;v
zA+H0S&#zuZ8ylM{&tmnW8%OsFM6o3-Y`yR?Wws|%EO4mB+uMwTXzx6L`50t$T#@E*
zuV=zc2ctTXSY?yJwCNtocMXS}v$AcyQlDwIWD!j^kcT5d5NK-PspU_3J+B-FUMymt
zo}N}F=IFP0k#K3W;(Y_dU%LTq%fG+_W%d>jxc*ypg#QEr3Tv5~4nfcrDN#4Eyg3E2
z`~d{iv-mN@9A;p*1~WICIUU^}v|%b~Xt=aG>X?HkE3t4NfS=ddcz3l^KD!(L<L)t@
zt*h&$1Uxn-CZo6*9c&a4V`FN1dU`-U{DJ?dn^L2~@DWfgnT3f8xu3lOwa;@x!q+Wp
z72;A-4<Szb3-hpP@J-#W_grRvOmUzLdI14hcVuv(!^AMh_xX3SvVb3ic?tLm$V{ot
zVvDyBs3ylO9ILw2hnlc(>X#}Hu5Y=$Zn$4C>xBTkkH^(k-s$s?5Xd7z8F3NSe2C9<
zm8lWv0_o^iYlYS>dJ$Vx6V2Azc2!U61q1wueV8aH6uV|^TSBoYC6_>OT3G{Yi3zy?
zts189T4|t2hLAHbptaoY+A683J%W5MDr(y)YYAJt-E-EBYq(ZsB?@)<lV}P-wvQMD
zF~e)Q03^l?WsQEIwCS1o7M$BUy_aa3)(TeeRSUtztrx(-uK)$jHqghI6E9s}-v#Bf
zgsLiTR(3Wktou2F?ZvkFGOw7|#9XmfAzhFJWFzpSozjM9!oOy3K`0F9TJ@dX?L=T7
z!FT*N<LF7dOZPZ}Q}6DB2bHN_wCvPi2iTwAX-P@3IBY7SlkyWl)`psX{`^Uk>CT8C
z32+rC@vlXxCj+&j4lZyb8X5!~L>Q0J34HR?+)zQz{WT<{9r08E8~xjzVh7-wjK&Mq
zo<4il37k2L>k*6~R8m}0QnYLm5qtpdlI3iFaZ%h0xQ3yf)9!%*No8ehLnEU|!15jw
zgS!`eeYI28^>?}o3E8R*1k0yrXky??5y=pOf&1rroHp;7up<Ov${+_qLVh^~lHup1
zq+!6AZnhM>e}khVhJAeEiSZYRlnK;{s_N=1pw;ww*i0OJ5<q*btgL(la5Ju=akGS>
zMb{0I8?b#fK;+nKI@bdUdv;@EqvolnWrqf-=ZO*(6&2*EnJZw*eh%o<5G;B?!y4q}
zF>*YJV=1s2$+t-@&q0^YzPb{)#qBH@Us6EX$>ZoYK%A89d1xLM;AyTnkLIO^D6EuX
zVq-Ib4S?bWG}FMrS_g3Uhu{K?0R9XRLH-uQ6mV#D>`P#MI6XbB0r+Pn!(O69!;t|w
zGw4c+e15#l)pCi^e6fPYe|s{TqT}Yq%W1n1qHWuR2RaSk3kyZ{^hiNfx|TzS@kX~E
z7g4PsDrP{H0yb3$3EvBF@$L6_`}Z~1c3bFU7H`!{b^f_WN~y3ftp+}zb9b=Zb_f80
zAEqk-{h!}k#~=O(^8nd-0*KHfBO?YZ1O`>p&%tRfa6zjD`DwrX9-$?5lYmN=J{A=e
zdaZzD!VXl2%K(k_yZl2NqFDrA*u((*h6dncSP0M)*o<YXjJ^d0{RZg2!(R_E5v9Li
zIwp8Oh?Jdx)ESYrya5F}utq+x>43KYv1&1RMjvwISnqLp#6X|50xoi0uY0Bt@Pys*
zgVO!c=hh*UC%htD*`uFEQIP$f`IeA_Ze6APw26g9;TU*7O$$O&Iu0V8?s-Od?k+|&
zrfpM~tJ3LA0g_K(a!#!;x8LJ{CQBo-@YQ&k*Z8;?mID?DiR7C!h-8QE&6_XaWD?vT
zpND&Ob#*r!9+~=F6J(9gd>W^T%@k|7<Y`9n=wfB3<!_IAnVk>Km@olzpEvkgkXH3u
zC?gADBAUKB5(s%)kV?ggMf>;=t^tFMQ~5KH$o>Q{f|3ZvwFP2|Mdg^#o&d8r*_p%y
z0hMIqgc}5sHyY&`64$P#pTH(I0$vcIxq7xYKRe!52Ls(g48(>H_r5U-KD_qZ3zxp7
z2j5k!+wg)xy%+*Pe)LErd-&rw?apwraL@v5Qt2F7dd>yfgeLKefQv+<(S^0fW}e;>
zok&X1;Vo$A>^B}in<&=&q_!c*MHH&>^CJbR_swA`X;22*<^9~SLPS$y92W%qk&%!W
KFBLWL`~Ls{>{5LI
literal 0
HcmV?d00001
diff --git a/QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/examples/figures_scipost.ipynb b/QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/examples/figures_scipost.ipynb
new file mode 100644
index 0000000..e45ba5c
--- /dev/null
+++ b/QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/examples/figures_scipost.ipynb
@@ -0,0 +1,1203 @@
+{
+ "cells": [
+ {
+ "cell_type": "code",
+ "execution_count": 28,
+ "id": "2a244a19",
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "The autoreload extension is already loaded. To reload it, use:\n",
+ " %reload_ext autoreload\n"
+ ]
+ }
+ ],
+ "source": [
+ "%load_ext autoreload\n",
+ "%autoreload 2\n",
+ "\n",
+ "# add Code folder, if the package is not installed.\n",
+ "import sys\n",
+ "sys.path.append('../src')\n"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 35,
+ "id": "112fc52b",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "\n",
+ "# import main class and plotting function\n",
+ "from qdarts.experiment import Experiment\n",
+ "from qdarts.plotting import plot_polytopes\n",
+ "\n",
+ "# import standard libraries\n",
+ "import numpy as np\n",
+ "import matplotlib.pyplot as plt\n",
+ "import matplotlib.gridspec as gridspec\n",
+ "from mpl_toolkits.axes_grid1.inset_locator import inset_axes"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "c319dd1c",
+ "metadata": {},
+ "source": [
+ "## Device definition"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "45e86374",
+ "metadata": {},
+ "source": [
+ "In this cells we define the device from [Neyens et al.](https://journals.aps.org/prapplied/abstract/10.1103/PhysRevApplied.12.064049). It consist of four target dots (indices 0-3) and two sensor dots (indices 4,5). The device is depicted in Fig below. The device is defined by the following parameters:\n",
+ "- C_DD - capacitance between the dots\n",
+ "- C_Dg - capacitance between the dots and the gates\n",
+ "- tc - tunneling rate between the dots\n"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "6290f8a7",
+ "metadata": {},
+ "source": [
+ "<img src=\"figures/device.png\" alt=\"drawing\" width=\"600\"/>"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 30,
+ "id": "74fce5f0",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "# Define the system\n",
+ "\n",
+ "#All capacitances are given in aF\n",
+ "N = 6 #number of dots \n",
+ "C_DD=20* np.eye((N))/2 #The self-capacitance of each dot, NOTE: factor of 2 due to symmetrization\n",
+ "C_DD[0,1] = 10 #capacitance between dot 0 and dot 1 (Left double dot) \n",
+ "C_DD[2,3] = 7 #capacitance between dot 3 and dot 4 (Right double dot)\n",
+ "\n",
+ "C_DD[0,4] = 1.6 #capacitance between sensor dot 4 and dot 0\n",
+ "C_DD[1,4] = 1.4 #capacitance between sensor dot 4 and dot 1\n",
+ "C_DD[2,5] = 1.4 #capacitance between sensor dot 5 and dot 2\n",
+ "C_DD[3,5] = 2 #capacitance between sensor dot 5 and dot 3\n",
+ "C_DD[1,2] = 6 #capacitance between the middle dots 2 and dot 3\n",
+ "C_DD = C_DD + C_DD.T\n",
+ "\n",
+ "C_DG=11*np.eye(N) #dot-to-gate capacitances \n",
+ "#cross-capacitances\n",
+ "C_DG[0,1] = 1.5 #dot 0 from dot 1\n",
+ "C_DG[1,0] = 1.2 #dot 1 from dot 0\n",
+ "C_DG[2,3] = 1.3 #dot 2 from dot 3\n",
+ "C_DG[3,2] = 1.4 #dot 3 from dot 3\n",
+ "\n",
+ "# Definition of the tunnel couplings in eV \n",
+ "# NOTE: we use the convention that tc is the energy gap at avoided crossing H = tc/2 sx\n",
+ "tunnel_couplings = np.zeros((N,N))\n",
+ "tunnel_couplings[0,1] = 50*1e-6\n",
+ "tunnel_couplings[1,0] = 50*1e-6\n",
+ "tunnel_couplings[2,3] = 60*1e-6\n",
+ "tunnel_couplings[3,2] = 60*1e-6"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 31,
+ "id": "2ac93325",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "capacitance_config = {\n",
+ " \"C_DD\" : C_DD, #dot-dot capacitance matrix\n",
+ " \"C_Dg\" : C_DG, #dot-gate capacitance matrix\n",
+ " \"ks\" : 4, #distortion of Coulomb peaks. NOTE: If None -> constant size of Coublomb peak \n",
+ "}\n",
+ "\n",
+ "tunneling_config = {\n",
+ " \"tunnel_couplings\": tunnel_couplings, #tunnel coupling matrix\n",
+ " \"temperature\": 0.1, #temperature in Kelvin\n",
+ " \"energy_range_factor\": 5, #energy scale for the Hamiltonian generation. NOTE: Smaller -> faster but less accurate computation \n",
+ "}\n",
+ "sensor_config = {\n",
+ " \"sensor_dot_indices\": [4,5], #Indices of the sensor dots\n",
+ " \"sensor_detunings\": [-0.0005,-0.0005], #Detuning of the sensor dots\n",
+ " \"noise_amplitude\": {\"fast_noise\": 0.5*1e-6, \"slow_noise\": 1e-8}, #Noise amplitude for the sensor dots in eV\n",
+ " \"peak_width_multiplier\": 15, #Width of the sensor peaks in the units of thermal broadening m *kB*T/0.61.\n",
+ "}\n"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 32,
+ "id": "903304ff",
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "EXPERIMENT INITIALIZED\n",
+ "-----------------------\n",
+ "\n",
+ " Capacitance model deployed with the following parameters:\n",
+ " Dot-dot capacitances: \n",
+ " [[20. 10. 0. 0. 1.6 0. ]\n",
+ " [10. 20. 6. 0. 1.4 0. ]\n",
+ " [ 0. 6. 20. 7. 0. 1.4]\n",
+ " [ 0. 0. 7. 20. 0. 2. ]\n",
+ " [ 1.6 1.4 0. 0. 20. 0. ]\n",
+ " [ 0. 0. 1.4 2. 0. 20. ]]\n",
+ " Dot-gate capacitances: \n",
+ " [[11. 1.5 0. 0. 0. 0. ]\n",
+ " [ 1.2 11. 0. 0. 0. 0. ]\n",
+ " [ 0. 0. 11. 1.3 0. 0. ]\n",
+ " [ 0. 0. 1.4 11. 0. 0. ]\n",
+ " [ 0. 0. 0. 0. 11. 0. ]\n",
+ " [ 0. 0. 0. 0. 0. 11. ]]\n",
+ " Size of Coulomb peaks V[n] scale as 0.701/(n + 6)\n",
+ " \n",
+ "\n",
+ " Sensor model deployed with the following parameters: \n",
+ " Sensor dot indices: [4, 5]\n",
+ " Sensor detunings: [-0.5 -0.5] meV\n",
+ " Coulomb peak width: 0.41 meV\n",
+ " Slow noise amplitude: 0.01 ueV\n",
+ " Fast noise amplitude: 0.5 ueV\n",
+ " Signal noise scale: 0.0\n",
+ " \n",
+ "\n",
+ " Tunneling model deployed with the following parameters:\n",
+ " Tunneling matrix:\n",
+ " [[0.e+00 5.e-05 0.e+00 0.e+00 0.e+00 0.e+00]\n",
+ " [5.e-05 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00]\n",
+ " [0.e+00 0.e+00 0.e+00 6.e-05 0.e+00 0.e+00]\n",
+ " [0.e+00 0.e+00 6.e-05 0.e+00 0.e+00 0.e+00]\n",
+ " [0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00]\n",
+ " [0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00]]\n",
+ " Temperature: 0.1 K\n",
+ " Energy range factor: 5\n",
+ " \n"
+ ]
+ }
+ ],
+ "source": [
+ "# Create the experiment object from the configuration files\n",
+ "experiment = Experiment(capacitance_config, tunneling_config, sensor_config)"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "30bdf510",
+ "metadata": {},
+ "source": [
+ "## Figure 1: Four dot transition from Neyens et al. 2019"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "301631d5",
+ "metadata": {},
+ "source": [
+ "In the first example we reconstruct the four dot transition from Neyens et al. 2019. This is done by selecting:\n",
+ "- plane_axes = $[[0,0,-1,1,0,0],[1,-1,0,0,0,0]]$ - i.e. alligning x-axis with transition between 3 and 4 dot and y-axis with transition between 1 and 2 dot\n",
+ "- target_state = $[3,2,3,2,5,5]$ - i.e. selecting the state for the center transition\n",
+ "- target_transition = $[-1,1,-1,1,0,0]$ - finds energy offset, which moves four-dot transition between the states $[3,2,3,2,5,5]$ and $[2,3,2,3,5,5]$ to the origin\n",
+ "- x_voltages - voltage range for the x-axis\n",
+ "- y_voltages - voltage range for the y-axis\n",
+ "- compute_politopes - compute the regions of constant charge occupation for the device\n",
+ "- compensate_sensors - compensate for a drift of sensor dot\n",
+ "- use_virtual_gate - allign the CSD with the transitions selected in plane_axes \n",
+ "- use_sensor_signal - return conductance of the dots"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 33,
+ "id": "41c8b58a",
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "v_offset found: [0.02893633 0.02977506 0.02942368 0.02924915]\n"
+ ]
+ }
+ ],
+ "source": [
+ "xexp, yexp, _, polytopesexp, sensor_signalexp, _ = experiment.generate_CSD(\n",
+ " plane_axes = np.array([[0,0,-1,1,0,0],[1,-1,0,0,0,0]]), # vectors spanning the cut in voltage space\n",
+ " target_state = [3,2,3,2,5,5], # target state for transition\n",
+ " target_transition = [-1,1,-1,1,0,0], #target transition from target state, here transition to [2,3,2,3,5,5]\n",
+ " x_voltages=np.linspace(-0.0022, 0.0018, 100), #voltage range for x-axis\n",
+ " y_voltages=np.linspace(-0.0021, 0.0019, 100), #voltage range for y-axis\n",
+ " compute_polytopes = True, #compute the corners of constant occupation\n",
+ " compensate_sensors=True, #compensate the sensor signals\n",
+ " use_virtual_gates=True, #use the virtual gates\n",
+ " use_sensor_signal=True) #use the sensor signals"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 27,
+ "id": "3d5b41f0",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "<matplotlib.collections.QuadMesh at 0x7fcaf025d520>"
+ ]
+ },
+ "execution_count": 27,
+ "metadata": {},
+ "output_type": "execute_result"
+ },
+ {
+ "data": {
+ "image/png": "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",
+ "text/plain": [
+ "<Figure size 640x480 with 4 Axes>"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "# Control plot\n",
+ "fig, ax = plt.subplots(2,2)\n",
+ "plt.subplots_adjust(wspace=0.5, hspace=0.5)\n",
+ "#Conductance of the dot 4 (Left sensor dot)\n",
+ "ax[0,0].set_title(\"Sensor 4\", fontsize=14)\n",
+ "ax[0,0].pcolormesh(1e3*xexp,1e3*yexp,sensor_signalexp[:,:,0])\n",
+ "plot_polytopes(ax[0,0],polytopesexp, axes_rescale=1e3) # plot the polytopes to see the constant occupation regions\n",
+ "ax[0,0].set_xlim(xexp[0]*1e3,xexp[-1]*1e3)\n",
+ "ax[0,0].set_ylim(yexp[0]*1e3,yexp[-1]*1e3) \n",
+ "#NOTE: Default voltage unit is V, so with 1e3 we convert it to mV #TODO implement the voltage unit conversion\n",
+ "\n",
+ "#Conductance of the dot 5 (Right sensor dot)\n",
+ "ax[0,1].set_title(\"Sensor 5\", fontsize=14)\n",
+ "ax[0,1].pcolormesh(1e3*xexp,1e3*yexp,sensor_signalexp[:,:,1]) \n",
+ "\n",
+ "#Gradient of the left sensor along the y axis #NOTE: for np.array y-axis means axis=0.\n",
+ "ax[1,0].set_title(\"Gradient sensor 4\", fontsize=14)\n",
+ "ax[1,0].pcolormesh(1e3*xexp,1e3*yexp,np.gradient(sensor_signalexp[:,:,0],axis=0))\n",
+ "\n",
+ "#Gradient of the left sensor along the x axis #NOTE: for np.array x-axis means axis=1.\n",
+ "ax[1,1].set_title(\"Gradient sensor 5 \", fontsize=14)\n",
+ "ax[1,1].pcolormesh(1e3*xexp,1e3*yexp,np.gradient(sensor_signalexp[:,:,1],axis=1))"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 37,
+ "id": "047f1e43",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "image/png": "iVBORw0KGgoAAAANSUhEUgAAAXUAAAFgCAYAAABE5ungAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjkuMiwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy8hTgPZAAAACXBIWXMAAA9hAAAPYQGoP6dpAAEAAElEQVR4nOxdd3iUZfY9k5nMJJPeeyNACAQIvTdpAgrYu66Aa1u7a10V17q6urpusYsNFRugWJDeO6EHQnrvkzaZZNrvjzvznY8fasRgWf3O8/j48s7XW+4999x7dW632w0NGjRo0PCbgM8vfQAaNGjQoOH0Qfuoa9CgQcNvCNpHXYMGDRp+Q9A+6ho0aNDwG4L2UdegQYOG3xC0j7oGDRo0/IagfdQ1aNCg4TcE7aOuQYMGDb8hGH7pA/g9wOVyoaKiAkFBQdDpdL/04WjQoOFXBrfbjZaWFsTHx8PHp3u2tvZR/xlQUVGBpKSkX/owNGjQ8CtHaWkpEhMTu7UN7aP+MyAoKAgAMOid66E3mzAsqkT57ev8TACAq9yszE0as08ZtzlNAICyJ3sqc+P/ug0A8O7m0crcX85YqowfW3UOACByD72CC+9YqYxfyZX1kp/jMV7xylfK+NGDMwAAARsClTnX1EZlHOZvBQAUFcUoc/eMWaGMI/UtAIC1zZnK3Kqvhijj6BGVAADfv4cpc/0eP6iMt/1Xlj3jxq3K3N6pcizHF2Ypc249K1z4BHcCAHRVfsrc7Ek7lPHqd0YAAFrSXFxfZRD5OORamVOblblBMaU8pvWy3yHjc5W52vYAZVxwKEHOKb5NmQvwsyvjxvJgAEBiWq0yZ7UblXGnXV7FID+bMmf2lXOK9W9R5nas66uM7WFOAIA+tEOZS513gPv8SJ6ZpiY+Wymv8pqZH6oGADhcvBCOv4TznG6QY0pbsF+Zy39mqDJ2+8q2/Mr5GXEEcvtXT1sLAHhr2RnKXNzIcmV8YcJuAMB/j01Q5obHFgMADjbEKXNBJl6TadFy/V9dNlWZ869ThkicWwQAiPXjfVx9kM+hziX3eVo2n7ctS7KVsblOjv/We95X5jY291HGjQ5/AEC1le9GYXk0z6n/LgDAh5tGKnNnjuT7/PVW2de8SWuVuU316XBYO7H2/DeUb0V3oH3UfwZ4KZeAYB8YAnwQHMyP7c0j5AO9rj5Dmdtj6a2MfXTykLVO4M1uMsqLlzGkXpnzD+StHDCyCgDgGsH99Ajjh+G1sR8BAO6PnavM9QzjSzA5swwAcPaYvcqcUedQxqub+wEAxqdUKHMGk0kZH7HLx159nhnTK5Vxdqhsv+IZHlN5B19ia0//k9bP/082AOAfY/myqRHl+UPyiYUfnTOCC5Tx5ffmAAD2tKcoc88cnKKMHZ4/qjHR/BDvbuQ9+dNF8hL+c88kZW5yxlFlHB9ZBACoaefLnh7Er83XNrlnKdH8QG3NTVDGfxi6BQCwqor7LNmXDAAYcMZOZc44qFMZO5vkD1h8Aq9j7Z38QFo72gEAbh2fjco7uX/9BvnY2aL5IXbeyPus95dx6ZPcZmgv/nFvaZb7pIvjOkmq52ijVf4Q6rKdypzNEKyMF9fJducN5HMWZZBzOWxLU+YmJOYr4x5+8vulF/EP9tfl/GjXuKIAAGfF5nGdSP6hXVklH+gz4ouUOf95vD7fFMn1/9Q6lses+kze0eNrAMBnlkHKnAX8Q3hRovxRPeOCQmVujed9AQBjT7kW69v6K3MX9tiN9lYH1gKnhZ7VAqUaNGjQ8BuC9lHXoEGDht8QNPrlZ0RtaxD0LhPezx+hzOnM4rpO73NYmdtbkaqMH5ywTOZiSRuE+gqnXW2kK6uGw0MW17WR832+cLIyrqgNBQBEh9NtX1g4Wxl7+eHMyaRMWpzkqvdZ5HeDjvy0Txhd+Hf2DwcA9E3i+kY9XXCzXiiEHZ8MUOaGnkOOM2Ks0EdH28jZD0wXfvuLxoHK3OZSuug3Zq4HAKzIp6vbksJj3lEpVMaLA95R5s7tRa6zZ3/hl50qov099zBl7IS4xSmxpLwaO8lV+0DO/5J4UiXPHSWXrPPw/0n+pC9mjvlUGX9RL9eixkKabd6ZawAAr+wap8z5HycPf+bcPQAAkw/pj/W2WGXsahRKLDyN+7RYeMwdveU+uO08Z52D7r/JExOI2MF9loXx+ELihWppVnH2etUzYfCR8aQ0UiHfbFPd88HHAQApRtJUW1p6AQBsdn6aPi3iOpsDe8g6gTynG9PXKeOHtslzbE0lHbi2ppcynhUvz9mH1aTpsoJJI7Zb5JlxRPOa9AjkPV+YL9u/JnmjMrfVl8/hNQeuAACMiyP1t6GihzKOCm4FABRURClzL7WPg9PaAWALTgc0S12DBg0afkPQLPWfEZ0devjoDYhL4V9+r8Jh5TEGe24b97Uy7mMSK+KJT85T5s6buRkAcE/iF8pcXiet2rwqsQKSImnN3J76jTIuTYoAAOxvpXTK4dYrY1dfsdaWlA5W5ipKGQxKSRUFh9c6BYAgPQNwrg7Z1uF99C5mj92ljJe8JF7DuddsUOYONsdzfbfsP6+R1swlKbJ+tZ3eySW9divj7U1iDY1PYVDteFOkMh4dL4Gr7VaViiiISpY3KsUa3l1E6em4ntxWeYcodUrrqNjp26tKGU8PFQvw5bLxyty0ZAZS11ekAwCW5tHq7EhXBTDb5Lziw5qUude/8lj64bTE2xPo8VTbZJ0Dm3lOpilcP8IolrZtPa+Dqy8DrYYqscB1qjY59ngqaXpGigVtvKNamatdTau3pU2uhU8c732gL7d/RqSc/+IilWImmOfS6ZLnZFMzhQE7auWZsXX44tvgFyLr5zdHKHOjg2mbvj7uDQDA82VUx0T7M1Ba3C7rnRlJz7DSHqqMrxu5DgCQYaKXefuaS5XxtEGyXkknr6mlzV8ZL8iUdzO3jYH/6MBWZVzdIp6O28FjnpJwFB2tdlBj1D1olroGDRo0/IagfdQ1aNCg4TcEndaj9KdHc3MzQkJCkPLkY/Dx8zshaSY8vQEAcGvP1crcgzvmKOOhaZKoNDuKWt5D7UKb5LeSnpgSwUDr5zXi4vcIZACqw0VXP8lPaJnhZtILdpB+eSTvLABAsCrp44I4Uh0v5QtVMS2B9MWxVtI/2SES1MxtZdDOX0/9d5Nd3NXdG6jJvvosnv+kQDmXyzZeo8zdM0ySo545QG25ry+piFmphwAAea1MBPHSOGo0dtBVvil1jTKusAuVEGsgffFJLROmvFRBqNGqzBW1kJKK9JP53Dru3+hLqqFvuFAYuQ38vbaE6+s65VjdJgYaJ2TL9d1SzECcTsWVBJqFKlEHoWuOkhYILBSbzTmR59TexqCnq0XGphre+5BhTI4aHCX3cdUaarLdSXwmdJ5AqC6fAfnIIaRqahqFatDreU4ZMTXKuF+IUBxDAqjpfq5A7m9FLq+T28hznjdGKLvN9Qw+RvuR3ti4S2jMKSOYhNXm4Dm32iWAenBfqjJ3wbhtynjZMknMG3km6ZkRIQx6/uuIaOv1Pjyma3szaLqxUaikOxOYzPf38jOVcYpZqNePc7OVuesHbICt1YEHhq9BU1MTgoO/XQDxQ6FZ6ho0aNDwG4L2UdegQYOG3xA0+uVngJd+Gf/ZDTAEmFBQTtpk4YjPAAAvF1GLnBlGF7ZfgKhfPi7PVuZ6hYiLbFHppP1U9EaIr6SH766hkiM2kJr0h1NE+764cZQyd8DCaH1SgAUAsL6Qqoq/Df5YGbe4hMJ4ZO9MZW5MKl1oL+1xuIGUTFMLaQ+zvygkfFQu7Og4rj8nTPTX130+X5m7cYrUrvGmkQNAcQephmanbD/MQKXD4Vae05hQ0US/eIzXuX80FQ4VHvVJVRNd32eyP1TG6zx1bFwqO6jSxmWDDEJLrCumOiTAn0qSxCChQIw+pEoSzVQntTmEFlh5iLVd9CZZdnAya9Ds2cbtOyPknhuqSS8MHEtNeM5WuX/+VaSh+p93RBlbOuWaFX+Vqsy1x6lq4/jJODyB9I3pHap/rJdaAABNlSq6wI/nl5Es6iAfFWWUYOa2Qj3P6fLjrOeTFin0xPDwYmVuWz2Pz+4UqqiohPTMX8Z8poz/my/qo3t6k/5YXMU6LF5N+oxg5iiUO3hO71dLDskfYjcpcy+Xs0yCl4ZLCeC9O2zhcx7lUdrsPcxjNheS+hw4W65/eVuIMldcHAVXuw1lf3pIo180aNCgQcOJOG069WPHjmHr1q2oqKhAbW0tbDYbIiIiEBUVhczMTIwZMwZms7nrDf2GMTUmF36BBix1Mivy81oZW6y0ZNuCaHmtqpUCRGOjGawZFShW57375ypzcSEspLSrVLIndSpL+Ko0BoO+bhXLaHBA0bce50Vh2wEAHU4+HnqVtdXgkKJVN/anzryvX5ky3tAix3yWKmNTjceOSBXIi9IYfM1SrX/7yxIgdfWi9+HViQf5MFC3vSFVGQ/zWHZfV1Hv72/g+lstohMfHscKmVvKuH5auASs7XYGDZc3MEC44RPR7A+ZfUiZC9BTk93ikEzEv2V/osx9UsdAa1W7BA335SUrc359eXxlHsvthmHrlLlDraLdL26hJalPoScSFSjB2bQM5j3sLOH23fFyrTpTaT3v3MiKg2MmyLlUcJMw59CqrxsnlnpDOa3K0MssyripXgKkZw6mwjorgFUYnz8gOnuXk7ZjeBoDzf0D5Z5nxtAzHRQqXsnG2nRlrqwxVBn/pb/kZqwKYubwvlae87Boub/eZxQA7ktiBdG/Fp8NAHjvS+YTjJrAe5pTKtnSb2GMMtfSyezU+cliwT/wzfnK3LzxfA/2Nol3/MLkt5W5Wz77gzL2BmqdqsqYEdt94ex0gm9A99Ctj/rWrVvx8ssv4+uvv0Z1dfX3LmswGDB48GBcdtlluOKKKxASEvK9y2vQoEGDhlPHj/qov/POO3jqqadw6NAhqCn5wMBAREREIDw8HP7+/mhoaEBDQwPq6upgt9uxfft27NixA/fccw8uueQSPPjgg1rzCA0aNGg4jTilj/q6detw5513Yu/evXC73QgPD8d5552H8ePHY8SIEejZs+e3rtfa2opdu3Zh+/btWL58ObZu3YrXXnsN7777Lm655Rbcd999p6U4/K8dbx0bDr3ZD7f2pT461lcCR7eXXKjMqYOex9okqDopigHCLxulFvPUFKah76qjC/qXbHFR97QyTX99g0oTHie6Wq8eHQBGRhcp4xaXuIitDrqdTx6n1raPJ5Bb0857FhlH+mddtQTzykJIG9icTPv2puybfUhf3Pnu1cq4I0XoghkDqTWuaA8FAGQHkD65OI41tR/58CIAQL8Jx5W5fTvows87+z0AQEEng9TzBtFtvvSrGwAA+la6xb49GTS0JskxDQxm0HJ7I7XSY8MlQLm0npRNjY0UQHWrXKuIWAYKXSDVMSNWtPkb6/kOFayQ7fuMtihzs3tSP/2Zp3hZ9THe2wGDGHA+sEf07bpE8isZI4qU8daSVABAZz/q6eNSSeX4NsnxBwe285g/Z3BaN0ronRR/rvP0phnKODJBjjvcn5SLN6AMAFaX0IzNKnpjTMAxAECisUGZe7J2ujL+a448s33jWKKhoYO07sFioawmj2Lexjv1FARUt8l9eO/i55W5C766URmHJshzHO9vUebUwemnrdPknFL5++JjLINwXs8cAMCLZROVOWcgr29GsOj0IyL4Pi/Rx0JVpaPbOKWP+hlnCEc2ffp0XHfddZg5cyZ8fb+9RoMagYGBmDhxIiZOnIi7774bhYWFePvtt/HCCy/gqaeegtlsxgMPPPDjzkCDBg0aNCg4JfXL9OnTsXXrVnz55ZeYM2fOD/qgfxvS0tLw4IMPori4GE888QTCw8O7XkmDBg0aNHQJTaf+M8CrU79+47kwBfoi2kiqYku9UAThJrqo2UF08f+zTNxZQwbXuaiX6LiXFrPin8tFVz4uWJaN9KPbra7jfcASf9LvVlUqtZcWSFStMzSQbv0L+eKxqfXHbR1cv2eElCcotPCP9fU9SXU4PbbEokK6xepKdxf1lvNT65ObbPL7ZamkXNR4s0C0yDEqPb7NQUfUWyfdZqchMj9tszL2llYwqxQzc1SlGZ44LPTT3/tTu/7PUpYs8F6zI8XUxqfGs0zD1FhJ+Y9U6ey95RYAwOKpSf6PEUuUuV1tQp/saCCNVlTPa+o6KlRC0EDSH73CuM/t+4TK8Y0g5ZEaxWWL62Rb7uOkiezxpMQS42XZdtU18/UhJdXQKsfsKGGZAH0in+MHsz+X428hDbYil6qVXglCRXSo7lP/MMkd6OHPcgU9TCwtUNAh+vTnd7A/wJ0jWNV0a5Psy+EinzEylMqxRKOc0/05c5W5M1KPKeOvdokazRzD0gMDY1lv3bvd/VW8z27VuxcVIuuV55Hme2XGa8r49Wq55xPDSJ3+Y/FcODtsOP63+zSdugYNGjRoOBGnbKnPnTsXCxYswMyZM+Hjo/1N+CHwWupJLz0EH38/PD6KHW/u23QuAMAYSAtJXagqOUys5fGRzBT01oRWF+kKVGmmJ4VIkMjipAXl50MLdGerWICbqxjouzKVOnYv+qu04/mdzOAr7BArpLKDslRv5isApBjFyvp3CZs0l9TRwrwsU7oD2VXWVLODlvpnB8VqnjeYlvSqagkGnpdA63llDbMvDxWJ9zEug4HSvkE8pirPsR5voQU1IrxIGX9SLBZau6qO97hkWnhby1MBsHAYAPjqeJ8ifcVCs7l5T0aoCqa9UiVZifuXUkc/7oI9ynhnjQS6R8Qwk/Jgo1iDJj0DbX6q8bF1cv8MAxh8baug1e32lVfbP5yBTrUmfF+xaLKDQ/h7Sy6D2warWKBxo6k9L8pjkTYEyLHMyWI+wvJD9B7R6PHewvls9k7k/r1ZmSODeZ1KOuXZPqoqEOetNQ8A9/cQzfnhDjbtLu1gbfX+ZvFyF+44W5kb34vPhDfbuU8gA60xvrx+Xo9uVT2frUorBQGlJRIo9rHy2b1n6nJlvM7TrPzP8cxo/VjVDN3rpW+z8N3bWZIMl9WGwqsf+2Us9eXLl2POnDlITEzEvffei2PHjnW9kgYNGjRo+Flwyh/19PR0uN1uVFVV4amnnkJmZibGjRuHN998E1artesNaNCgQYOGnww/KlC6YcMGvP766/j444/R1ibBNp1Oh8DAQFx00UWYN28eRo4c2cVWfj/w0i9nr5wP3wAjgn3p7l4QKVTES+UTlTl1APJItbih9iK61TfPFB36VzUMOqkLRSWYLQCAvmbSD//6gO7oBedK0NJip753dhipgA2tkko+VFXn2qmqTX60Q2iBfCspmVWHSStcli1lBo63fXtt8/7B4s6/voWBwsQeDIyVlYk7HRDG69Q7Un4fGEJKqNBKzXSUSeiPpUf7K3NPDWERspfKhP5QF4rq6UcqYHuLuMNf7MhW5iYMZvGrzWultIJ/pkWZu60Pa8BXO052mV87OFoZX9lXArxvfj1RmXPFsOBXjwQ5v/PiSS89tV2Cs2mJDBSq2+m5S+X+Rffn7+r085oCobz84xgQt6nqqfdNlqDk8TpVu7tjpBoiBsl2G1r4nPju4nPoGC5B3w7VNuNiLMq4OleornMnMLhtVeUreIuYbTzOQKqPQQKxM3ry2l8dyXrlDxVLr4ELY9nge2sLtf2ri6SeebA/g8OzkkiZVdhCAQCV7bxfV8ezeFeDU87vm3q+WyUtocp4YS+hWra2Ubv+8RsTlfGoS3IAAJvKWAPfZuX1iY+2AADKq3kfx/c6js7WTrw/+Z1fLlA6fvx4LFq0CJWVlXj55ZcxevRouN1utLS04LXXXsOYMWPQr18/PPvss6itre16gxo0aNCg4bSgW5HOwMBALFiwAJs2bUJubi7+/Oc/IzY2Fm63G0eOHMGf//xnJCYm4vzzz8eKFSugqSc1aNCg4afFadepu1wufPnll3jttdewYsUK2O126HSeKHpcHP7whz/g6quvRnp6ehdb+u3AS79M+eJaGAJM6BNMt/+TPVL9r2cao/H5R+OVsX+MuM6TUqh+STBZAAA1nXSVmz1VAgFgc4lQCYPiqVrYkU+t8zOjRAt994dXcj/9qEn3pvG3qLZpUbWB89bE3ltLBcKCHlSq/CdPKuAlBlNVUNoUqozPTBbX+qsSUjZvD3xDGd+UdzEA1s4G2Frv3FjSEzY3XXlvnfUAH1IaeR1UUFR1yv6PNpMSUlff6xki+m51GvswlTa/2i7qmXX1vZU5L80FUKkSZiJlFGrk+KyIHADAPTvPU+ZiI3h9Ao2e1nQqGu1QmWwzIIDnlBzK+xRslGPdcpBUgG8jr5krgeeizKmqUCYmiGa7w07FTl0Dnymv/joxjin7tc2kXwyeNnVtzXxO8C1fk/Qk0kNtqmvubc13TiLVM5+UZgMAbk5nKY0XCqiiGhop6pazwvgc3Po62x5mz5Jny+WmvWpTVRv1Xt+dqvfBHMTrNDNN1l/3wghl7r57WXHxw9phAIDhIUXK3OdVrAeff1zuWUZvvnux/sxN8CLRj/dxZXkfOK0d2Hv+s79OnbqPjw9mzZqFTz75BOXl5XjmmWfQr18/uN1uVFRU4IknnkBGRkbXG9KgQYMGDaeM01ZP/dsQGRmJ2267DbfccgseeeQRPPLII3C5XF2v+BvFhMg8+AUaTqgJPjJTtNADghkAVAe7/tZTgn3r21gH+9/bxHK5ffRKZS5UT+XRgECxEpZVUDPsF0CtsNeavXAmA1CzQ2j5LG6QILdDVVis1B6qjM+LkCDVysPU8ob24v7Hx8s5zQijBfYCmAFY7glWBZh4TJfnzFPG3gDkkwdYyOma1E2e82TQ7/avLlfGwwaJFnlGJIuAqfHhLqltbgjkOWUn0Zo6WC8WVloIMy7/XTtRGVftE6v/8bnvKXP1Tlqt26vF8tPr+Hwf3E4tsmmCaLqjwmi11bcwj6DFVyzYflH02IakiFVa1MSg2qHDLNzmxQWjGDSsV3XDWrddLEgfG4PUPqrKHkFp8hyUFVK7b6riJ6EjRX5vbqcl7mfk9WtpFu8tfAut77ALmQ1duVoqsMarsqHr9Dxnr8f60pdTlbkn574LAHih6Awes0o44M3BKLcz78Hen89Epyd3I0zVINxs4Pk3e5qezxu0RZn7sIBF2Ew6Ob+WmcwovWMbi+3dMeQbAMAz38xS5rxduQAgKF56BOTb6BEeaKLnre785IW/0Q6H3X7S/I/FT/pRP378OF5//XW89dZbqKxk6zA/P7/vWUuDBg0aNPxYnPaPutVqxQcffIDXX38dW7bIX0MvbZ+dnY358+fjsssuO9271aBBgwYNOI2B0k2bNuH111/HRx99hLa2NuVDHhoaiksvvRTz58/HoEGDutjKbxPeQGnq63+Bj9kPyVEMPBUdFtcsJM2izGWEUwa6pywRABBgZrDsrgxx976spyb7aCPdvTlJbC/mhbo+tcUpLnqHi774+joG22bHCG3yzEdzlbmgwSwU5W0ZdqCBbuUlSaQAPq3MBgAY9Qz6nR3DY4o1WAAAUXpSEcua2Pqtr7/QIh9UMr3am1LertI5jwplenmEXtzlu7ewzdjDo5Yp4/crJcD152Smbz9TQnonr1YoiCEJpA/UhaCWVnjKCNipOZ6ZQP3ze0uEEpt1HsstfFnEQPCUZCngVNBKTfj1iWuVsbe2fe0+3sekIXIdqlcnKnP6ERZlPCBG8hDUQezD+xgANCYILdFZQcrDHcQyA9ExQgV0qgLSTRbSN/py8aid8aQLvXp6ALB6roVlEwPSoWMpAjgjVrLN3/9mrDJ33pStythLw+U1kv7x9TwzE2MoDMgOYG7BA/tEp94vljTVnj0UXUweKfTbkUYe08AI0myHG6XMQVKgBd8GhyfAOjmcOvn1jYwBjg2V44r3ZaDT24gdAP6WK/XWx8QzyL4ihzToTaOEWkwx8n368+YL4Wq3ofS6haclUNotS72yshKLFi3CokWLcPy4cJputxs6nQ6TJk3C/Pnzcd5558FkMnWxJQ0aNGjQcDpwyh91u92OZcuW4Y033sDKlSvhcrkUqzwxMVGRLKalpXWxJQ0aNGjQcLpxyh/1+Ph4NDSIK+92u+Hr64vZs2dj/vz5mD59uqJJ13Ay/P3t0Pv7oFcwXa/aYnGtz57ANmXq6odnposbuKeeLviyWqGxGlRu9/29v1DGfz0qkfmpCazZvLw2Wxknm+X+rS0n5aKud97iErfbkUad9YBIlhwY5amq93Uu1S9BqXTRF6ZJKrXFRVde3d7LWx0xSM91Pj7I47NmCsVyVFWbHB5WYU4sFTUvH6dbb3cIheB28PlbZ1G5zRFyzAds7Imrrid/2Cb72lPB65ylqvI4KVrc7vePD1bmSmxUYPgMESpjjeqatll4fyqiQgEA5S28t29UqsokBMr6fSaSvqjypLJ3DKCS4+JUqnt2NYoSpvpDUi7uLFJeAX6iLrL58TgMJv5eUyPb96bmA0BsFNUZ7khRrVTnkTIq0JEq0dWKB55+BlsMqq/p4gNCefUeyt+31NLYuyVNqIgvfEhPlLWFAgA+L2Ga/sqPeZ/fXPgCAGB5E6lc1yDec2/uRJ9wauO/2MplzxkjNGEvf17nvHZSNd7chFoH9fpDVZr0JE899i8bB/KYPa0WAeC//UW9o1ar/XXcUmVs81Ce71SylwDa9ED76etnd8of9fp6Oam+ffti/vz5uOKKKxAZGdnFWho0aPg1wnakANVPvqL8uxDAkCU3wTeEf5Bbtu1E+5GjsJdXwNnaApetE/ogM0zJaQiZMB7IPj16i9bKVpSsKkL9tkI05dXB0dIOvdmEgKBkRPcZjdDkrK438gPgtLtwZHcD9q+pQ95OC2pLO+B2A8HxZhw7IwBnXxMHhHS9nR+Cxop2rF9chMIDragt7UBLox16gw6mhMOIn5iOHhcMPGkdi8WCsLCwE+bWrl2LiRMn/qB9nvLdWLBgAebPn48RI0Z0vbCGEzA0tgTGQCNaVA2d51whWnGznoHQs8NzlPFeq1hhVfV8yrwdfZ7s84kyd/sBamnHJYpVOj4oV5n7ophW9aRwma+KYEBmnJk1p99tlHt7bj9axR9tGaaMU8aJpT80jRbY4orhynhqtHgXe5upqb4/5XNlnGOTc2p0MICnthC9gaXQaAZSkwIsAICnVlMfHJTI3xf0FqWVukvO0wXTlLE3w/CW2G+UuU0NtKpHpouFVtjE2tyvH2BBrhdHSFbhmx187mtVjaWtpWLZ3TZtqTIXkkELe0uL7CvKj8fcpnoOvE2qr49nJuUfP7gOAOCM57PxZRnvozcj06pyaIwNtPjMPcVS90+hZ1heqfIuDE7oPFmhhqgImNJTAbcONaWx8KkxITpdDDjHrjVoP16P4B7hcKckwsdogK28Htb9+2E9cAAp5hHoc55YpnWqaxIWJla7t+k2ADTn8WN1Z7E0C//HRNH+3399Ho7tboPO14CEAWEIiAxHU1kbqg4dRXPFUcy4OgZ+OrF01d3DPqnhh3F4gjyT6k5ej09nN6lYgwW7N7XhrgUSPPWLDUbG2CA4HW6U7GvEF6+1YOUnrbj2zeGITJNzOdLCC+wXLnrymg6ek9nAfIuHCiWQ6+0q1br7KCrfWAefkCD4xiYiqI8fnK02tOWWI/eV7Sj55jhiL78Neh3vm9FoxFVXXQVABCj5+RQE/BCc8kf95ZdfPtVVNGjQ8CuHKT0VkVdeDLhOpk8H3DYeQWnhMJiNKG0OVear3q9E5buLsPO5nUidnAq/0O7ln0TE+iJy3iwETxiEcwayT4NuRw7+cUMevnyjGmefEYnR47u3Hx8fHaIm9EbiBUMR3CcO0+MkocnWYsc/bihAy54CLHtgL+a/M66LLXUNvx7xiH34NhgTRHUTGS/Gi9nRhIMLP4NlTwka1q1C+CQaIGazGYsWLQIA/OEPf/jpP+rfB6fTiby8PDQ2NsLeRYbU+PHjT+euNWjQ8BMhrF/st84H9M2Cf1o62vPzULO/BsnjT852PRXc/nwq7t5zcsnuQZNCMeG8SKz5oBZfLbd2+6M+aLQZfWPOPmneL8gXSbecjcNXPY+yfY2wVFgRGm/+li38cBjCgmD0OVn9ZwgwIfXKUcjZU4L2/DxA9VHvLk7LR72srAz33XcfPvnkE7S3t3e5vE6ng8Ph6HK53xo2bsqCj58fnNF017Y3iNt62WSm7PvqeG18PBWSJvdk0LPUGgoAuP/oOcrcvF7U/04IEHrl6Yozlbnn+n+gjF+q9JQZiGfD3ov2LlDG/p5U8EtSdilzI7JJzwwyi244T1Uv/YJIBnrfKpUXc0YcddyrWsiHhhtEU77oMF/gPrEMXPUfINnHK3dRh1/uaaZ94ZjtylyDnfTNrmahdBbVkh7xBk8B4J+93wcAfN6crcylB1JzrYfQEAdr6Gr/aeA6ZfxOrVAxpgN8yVuj6eI/M+MdAMDtGy9W5kKjmGp+drJcnwpVUG1nET+CLpu8itdUsshaQF/RQnsbiQMnUhktR8TF12eomiTHM7hb3CxUh7oWvq6Jr3zmwHLU1zagCgBcOuicOrj8GDSty5VYmSOXwdGky2k17osLgtss2z5YnYyCo73hU8MPWERfoX2MBj7PtkYeywtzpIjbWzVjlLmeMXJP1ldQe/5R7WC0mLYCWIYNBdG48dgFcKvO6amBrJu/qEqCqtfFMQfA2x8AAAp95FzGRDEHQV33/uXxb+O8CD0s9U7kFAUhIjD2hF4AXmzPS1XGr49nMbprProWADB7CmvIq2m2MSEScH9s/wzYrELFxUc346Y5n+O2R07azY9Ctz/qBQUFGDNmDGpqan5waV2tBK8GDf/7aD98HLYj+fAJ8IcpPanrFboBR43EcXzDA7pYsntobXaipUkUQn7h3bPSvw+ujk40fCKKs6wJ4V0sfWro9kf9vvvuQ3V1NaKiovDkk09i+vTpiImJgV5/+iQ6GjRo+OVRn7sDdY/lwNnpgLWiGZbcGuj8/RB1w0XQB/h3vYEfCVdbO1o3S2euiFE9u1i6e1j2lgVOBxCcHo6A+O5ldqrR0dyBrc/uwmFjM1oa7Cjcsw+uFisChmdi6rxwOB2nz9Dt9kd91apV0Ol0eP/99zFp0qSuV/gdI2FAJQwBJsxPZvusB9ZJfe1IX6oiDrbT6ok3igv+2nZqdU2hooa4vi8pm3/u4bV/PUg0sAt6s8a5Wp/d6ZI/uFusVH/0CGd1wos8rcL+UzRBmYsz8/hu2XQJAODeEdTGf1pFLbA3BVtdhqCqgy/IqABxQa/IpIvqAl3ct1fKfkeMYrDMbJBz9qaWA8D+JVSCPHiD0B+dTqpwEs1M5f7UU4YgxUQliNmHNFiCQZY9HkVK6asaVRVKT+3yyy5hC7tPSqi6iDVIAOzB0Z8pc3/ddpYyhodpsTp4TS7LYmmFMs95bSoi7eBwimLHbGB8yldVb/3iqfIcralijfeccta4t3soHaM/13f78uNxtCoa7Q0eXbnRBXewA2qiQZ8g17zNU03SsrMQzeupqPIJ9EfUH+diwjkmAELJbW/mR9fPV/Y7O54lIsIvY3XEe3LPBQC07KYkOmWsqFcajnCu6dW34Wppg39CCtwDs1HfosNbQ0h5XPbWLcp44cVCsz1bSo460kTt/MBgKQOR08T34ezeQo3V5DbirX/JcxB++TQcbxAlVLuNNFtqgLwnaYmk7uZtuFoZm3sKVabOAem062Gva8bxFflg8QNg6IxIXPpgMJ5bdS5cNhuALTgd6PZH3Wazwd/fX/uga9DwG0fs3IvQ89HJcLZ3oqOsHqXv7UT1s+9h1/E+GHrPhK438CNgWbMGzUdyoPc3I3725T9ZcmNbvQ2f37EZjg4XhlzWE/ahp9cj8I0MRuanD+Gi9N1orrahfkcRlj5XjIVn70HQ5aPhexpzfbr9UU9LS0NBQUHXC2pA5e54+Pj5oSOJ1tqcoeJWHmqlhdXh4m3x8dTnjo63KHOP9/kUAPB6NSVXtw6hBVnp6fKj7v6iLkDk56mT/txm1rHWGWkBZgVLsG1uAnXquW0MIH448b8AgBsPX6rMpYfSAs4IkKBnhh/LLe9sYNZjaVDESedpddEaemS2BHXVBctiTOIpLD3O7MPQadSkL68TT2F0GAN5//6cgeKnzhWd+W1recwXDGMgeA9S5Th30Oq980xa3e+XSXExSydfdm9hMwC49KsbAAAjBjCgHBBycuehe5NXKOMrPv6TMnYGyfVPS2ehqkBf8STUOujIAFXG5noJMPYZyOOo38nsSD+Pgd6ZweDnkAF8V8tbQtAc0I4KALDrgFY99OHcl+GAWOghY3idI/zbgAAAkYFoD74cLtubKFh+BI6+WQgZnQl9BDX1JRVynz/oZLG2hmZy4sNTxLrfmsAcjD8lS4Dzfb/hKPoqDwVfrIPJ7IMH3kxC70FfYnebZKTuaefzZFdlMxd2SCBUXbc810Lvy9IpNNH+PFrqRWH+OHzXYlgr2mAe1h+1Uy6GTyGDm7PH8jkJMZwsBImLtSjjWoto21/KfkeZe7WGf/DaXH7QR/khY24vXJYehRcv2wbDijcw9eWpWHTSln8cut356KKLLoLNZsPq1au7XliDBg2/KQSMlj+mzduPdrHkqaF8UzG2P7oePgYf3PnvHug96KcJkLrtdhxd+DGsx6sRMjgNkdddCJ3PaW8I961I7B+KyNQANORZ0FrZ1vUKPxDdPvo77rgDAwcOxB//+EcUFhZ2vYIGDRp+M9AHysfW0WTtYskfjoPbW7HlfjESRz18BgaOO30BSzXcTifqXlyMlv0lCOybgF4PngOd4SftG3QSzGHitdssHV0s+cPR7TPw9/fHqlWrcM0116B///44//zzMWzYMAQFBX3veldeeeX3/v5bROqIEhgCTCfUZ95dKQWkxieRNkgzk8rwasHrLUy//k+FtPo6WEFK5JiqJnVDvkikApOpb25R1cn21hmPHEzrYFs13dkcixzTebF7lLkNxQzgnRsh7qhax67W1nvpn4cPMqX/+YHUye9tT8X/R4mVsq4rwiVgZAnlMdvdEtw9r2eOMndYlb5dYZUXf3YkA74pQ9ki8N7F8rzpUvnyhBl4/iYf4SruPpM12Ms6eUz39PgSAPBeDbX16nry54yQa9HQSYuys5Ov19pqCZytKGWhqsEjGTYz6uX61bTzPpd4mnVbqvhRCzzObV5wiVynFUXcptOPgdDwoRLMU+vEd+ewxZ6xUQ9rgTwjvgF2BCc1ozU/VPndG7tX67QPHVQlGPm7YMsVQ65XL2BK8hF8dJgBc6NZrmnjAT6b+nRq6rftlPdAF0bK55s9AXj1j4fgtDsxfeEwZM0Mx/vVDDrmfSjj8+dTh56VQm3+AH+hotRN2UdGsR57sF7ok/2dyWhY9BHacw4jOdOMe9+KRUDwZpR0Crf9cXG2ss7gQK7/8JcibJgymsFfb94IAJyTJZTlTYcuUeamJTK4/OEBKQh3VfY2dLTaUXGkBdDpsK90OIDTw3aclj9LRUVFqK6uhtVqxdtvv4233377e5fX6XS/y4+6Bg3/a7A1VMO64ShCR/WGjy9lym63G9btOWj+aj2gA/qdnXLCevbaRhTe8ncAQPrfnv1B+7JX1mLRk7vQ0erApLsHIWvODyvfnfP4KpR9lYtefxgGPPDDzqtxyXK0bd8DQ2w07nojEQHBXX8Ka8tsKLzlTvnHzh/2/ar/ei8s050ITQw8Yb65uh2f/3U/OtscMPftC31g4Hds4dTR7Y/6/v37MXHiRLS1idVjNBoRGRkJw8/sxpwOWK1WrF+/Hrt378aePXuwe/dulJTIX/6HHnoICxcu/GUPUIOGnxmOthYUPrEU+gATzD1j4fQNh7u9HZ1V1XDWNwI6HSbdMRBxWf8vgcbl8Rj0P5zhrf33++hs6ERAuBE1hxvx1QMieVUXwOtoLkH0sMknrOdNZvQx/LDcmNw1VWhZK3JSQ1gI3v8bA81tLin0VdxaipgLRsEviaoUtzfefAqce+PaA3jlhRJE9AhGeFoQalqPwtnQhH8Wl8HZ6UJUzyD4X3DBD97eD0G3v7wPPfQQWltb0aNHD7zyyiuYMGECfH6mQMPpxo4dOzBz5syfbPt1HyVDb/TDsX5UI3g7kb+dT311bBA14dF+4q5+MIaF1IwQpcST+hnKXJCBtEKOp3rf/DTq1P97nLV2njwobdyeyyYl8tlBKk1iA2X/f10zV5m7bDQ1tHe8MR8A0Gc6lR57cmmpXT5MWrpNTObv13w1XxnfdYYoQAJV9dT7mdly7OId1wAAFvTlPnuaRBWiVsl4NcMAUOCWl+/rRp5H2SYqHObMlm0t2UT6xOrktj4vlzIG1hVUj1x8LSs67msX2mFK+GFl7t+NE5Wxw/X9HxR/j9a8Vwj1zYXNrAh5fcp6AMCjh/n8eXXeagyYyzZrK1+V9HbDdLYqDMnkuHW1UHctvUm/+LbwOPUdgId1gtHgRKi5HWlDuf4+UyqccVEIcU1FR24BrCV1cLaWQ6fTQR8WjLCpAxExcygKI9NR6Cnz7vZo6zsKRAEVMHIITBlUolhb+YHWxwgV8tfBojK6xVGPOgBtDZ049FnRSecOAKZedvj1noiPCrOVudojOwC9D9oHjMLThXJ+/ipt/9AwfrQHmktQZ+M52o7kYRMvqQplMPYZA//2cDxmlfesdfthAHsRNCH7hLaKZ0azHMbySlFnXZS2GwCQe0MUPnkzFs3FxWjc2gB3RyX0ASYEZcYhenwvJJ6VhbJWHzitpKW6i25/1Lds2QKdTocPPvgAQ4YM6XqFXznCwsIwePBg5b/bbrsNVVVVXa+oQcNvEPqgQITOngzM9ljHenL2IZ7Sus2Wk9ezHSkA9HqEnDX55B+/A8+vy8YDu6R0rd6XEtub+5E///vaE40uR7MVnaU1CJo0GL4x4QCa0BUmnx+Oz/yZsHTPtOXKuKRD/tC+t2bsSetZDxUCej3Cz5v4g/YDAH0mRCOqc4ry78Qskfma9D9d7atuf9StVisCAgJ+Ex/0cePGKV2dvLjnnntO2/bt05rgMtvwTD8+RHutqQCAK9KZXTk1gNZgvl0s0L8UzlXm7k6RoN25UbuVuSXVtPSry6SQ0/tGNm5OCrYo4wJPptyThbT0J2VSklZhFd2wvo0e1+INLLoUNVqszf1lDBTeOnqVMn4hZyIAoH8SA1hjBnP7Xmt7cwM135MjaC4NShCrXd2cN0IvH5DlZdSpX5fGbk1LN0q995unsEjZ5ixysh/nZuP/o9nB1PYb0tYBANZfweJPKypYhMzaKcfcK4zHVFPLAKY9Sq5Vv0Ce88FAVje8KF4CqWsbuf2SGlIWd5dLAO6KQSxYtqxIvA5jCL2womau45omuQcthaHKnL6d92zuZeIxfZrLa+bo4O9+9T7Qe2KUDTlV2PPQGuj0bkTOOws+fiYElIjVaxpnUdYJ86fKpahGnqPgUM5NTZIs4DcfPQTz9CykDnFhXAyLvYUYuOzLq+WD/+CnFylzMyfLM311JLOlL9hynTJO9Dxmfe4V67vwSDGOGnSYdWsKguLyFKpmQDCD5Jvq+Jy9u02yrUcN4/O4tDpbGefXyvt29gRm+0YbxXN94fhhhMzsg/4DOrG1OFX5fdognt8fEsUj3NFCYYE632F9gwSHJ4Rz//ZYPWytDni/NFarFTfcIHkPmzYx+/yHotsf9Z49eyI3NxdOp/N/vt7L//rxa9DwY+GoqYejRuisiMvPBPy61yz+qo+mY2tN6mk4su9H2hkpSN9y+U++HwC46dPx2Nbw0/de7uzsxJtvvvmj1+/2R/3KK6/EHXfcgeXLl+Occ87pegUNGjT8ahCQ3BMpbzyp/Fvv//srif1rQ2hoaLcq2Xb7o37zzTdjxYoVuPbaaxEbG4tRo0Z1vdLvFDdnrIF/4ImXfFt9KgAgr4QBut29GXTcXy0Ux119Vypzb3jKAzhUZQCKmtgmTNcpuuI/p5GK8NI8agxRBZAW7eV98+qLE9eR14y/n5rq7TvEhXxi5vvK3L+LJyrjzASJQdyZ+JUy91UzKQBvUDg5xKLMPbuHvGNAoNANSWZqqvNbxS0eGV2kzL1RwjrYT86QY6lyMOU8yJ+0RasneJyRTXpkYCDP/4FNUlwqowd/nxZLffFAsyx7y5dXKHMZWaXK+I9REuh8okzVbs/I/b9WJPTVoEjSAnpVw+ebstcBAP5zkAFtu0WsZVMEU9P7h7P0wso9Qg+ZGvkcdIZxmx8fyAYA+PrxQ+0KoSbcOUrG+g4G/RxtHFuzJJDdVhSqzNni+fwmRFoAABF+pFTyWqhJrzwkz3RDGGNSextVjb2ziwBQjw8AJVZ5js/fRMrlo7EvKuNzG24GAARZeZ9vSqK++5kiKeRVaFDVgA9giYyqJNGvjwllEP/VfFKLg+KF+ovwZQ7DW0dJbY5MFM36fdl8ttc3kVLzQt2S8p0qvlt7torOPm0qabxlH42Bs8MGYP1J2/kx6PZH/bHHHsOoUaOwZ88ejB07FmPHjsXw4cO7TD568MEHu7vrXy06OjrQ0cEXurm5+XuW1qBBg4bTh25/1BcuXKhUTnO73di4ceMPIvd/yx/1J554Ag8//PAvfRgaNGj4HULn7mYbookTJ/6ocphr167teqFfAVJTU1FcXHxKyUffZqknJSXh0jWXwhhoxKWR25TfvHXEHyug235hAlUtfh4h8Z5WUjLnh0tkft5X1yhzZw/fq4wPN4nbm59LdUpiL1baKy0WKuPPY+hCrqihvrukUVzgs9MY1d9nYRXJdru46Gr6J8xEiqBHoLiWsSbKvt44Qhd0bk9JsV5dwYqIlmaWBEiNloDdGdGsp76kUNLPW1qoWPE1kVZwHxHPcMZMqoiK2qgDPyNSqJQ9zbyOmwpJ79w7SK5FDyOv02Ebz7nIU/3PB6Q3XKrSSfsa5VpfEk/VxL/zWZ3Pz5OqX3WANJsxjfkIQ+OFylFL3bytDA81UkXjp9Jfl24WHb6rt6rcgeqa2PJFneNS1VBXF0z3jRPaxOynomScPCf7nlAAgHsAj9NmYX/Q4EjZr48Pr0mgSbUtl2zr8hQqevJtrJi4bIMolsaMoPKprE1olfItpGmiR5Jympcs6pJdranK3MpVVN7Zw+X8DYG8TmdlHFDG3naCESbqwvfV8z6flSDPvLcsBcD7ALBsR10Hy0EcOcR8iD9NlNwGdS+BZJWK61C7nNfqcj77RoMTjrYO7DjneTQ1NSE4uHu1brptqa9bt667m/jNwWQywWTqnnpAgwYNGn4M/vdy+f+HUd8RCF+DUSnIBQC17fIX/5oUUlY5bSyatL5CNLYP96G2vdQuFuh/pi9S5tSB0IioVhTtrMOaG5iRWQzg1nUzYQ4z4eNmqTORs6wEBzZYUJprhaVuEzqtDpjDjIgZEIXBl/fGCh0TMGalMmvu/W3S3Nkvktb5eZk5ynhsgFjY9xWIGqq9qhnDDr2B/esaUZLbhr83OuAbaER033D0O783UickoTSAgd5p0aLTf7fo5Czby3qwiFh5R6gy9ukh1tSaD+pRu6MYzcfroGtqhs3qQnCYHscGRGPEFenYZKR+2GmjNfZeuViND6Z9rsy9W8L9T48Xa3LRZk+Qur4RxvLtaNxRgLb8Gjia2+EbaMTm1ESETBuOgKGZ+GMWM3rLO0LR0dKJLXc8BTVi/zIf/n17IMCTEayugV/YKpr02mbWBcmMYYPuzhixSgNU1nlWNIOSOwvF4jPE8j71jqEnklshHoDVzcxavZ5Wty1WAuUGB48pNIcWqP5M+b1N1RnItoc6+uBhks+gts7VTZhTsiQo7aOjJewdT5/J+7yqmFbtl3XiUeY1Mn2/18ginl+QnF+YL4O3mX4Mft+zWRqDvzjrNWVudw0t7eJ2ebcMqg5Tha30+LxF7tQe3bXVDJ6/8pHU8H/qMkoS1cH1EYNFcFBbyOuUnlkBh+Hk7OEfC+2j/htHZLIf0geHwOoywWA6UYe/+p0qlOZakdjbjJTBYTCYfFBX2Ibjq8twfE0Z4q/1Q/iMod+x5R+Og499hc0HK2Aw6pCeHYTQ4Ei0lregbGslyrZWov+lfZB07dSuN/QDUPTpfrQcr0NQjwj0GWqG0aRDeUEHcldVIHd1BSKvDkPw1BHd3k/d64vRkV8Ena8eQZnxCI4yoq2iGY37jqN933GEzBoNPHWiG+1j8MHU82Tu0K52VBSfvhdZgwYvtI/6bxzpg0Nw5ZOZKO8IO+m3Kx5KQ3y6Gf6BelTYQ5X5rStb8Pmdm1H5+koEj+kLQ3D3uqr7RQVi1gM9MHpuFPwDDfimQXp/WrbnYeUd63FgcS78BmcgalhyF1vqGlm3TkBgajgMZiNuTFqjzL/5WSA+vH0H6t/+AgEjsqAP7l7TBX1YCNJunILoqf2gN5sQHyAKp03LW1H198VoWrEFx+YMRe8xtCh9/Q3489PCvT/95wrto67hJ8EpfdSffvpp/OlPf4K//+nrHL5r1y7U1tZixowZXS/8P45hYUXwC/RFbisDX32jJQi0uIKufp2VH5y4QPlY/K2ArdnOS8gBADyawzoYc3ozGFRpC0Z1u7jkbujgcusQ6cvAkDdQuaF2OtAAoAE4I4ZByYGTI3FgaCSKtteiPbcEwSMyMCaQv7/vL9b74wM/VeZ2tJHW+GelaM69DZNH/HUqgvybcMANoIUa4Y+yhiDmzAZUrtiPI0vKUecr1MaMaRKsSgthyYbtuRLUnBjF4/jiOOuIJ0fKskNHVMJbl+P61Vcpv/s1GeCf0gBrQR5MFUcRltILUWZeE69W+pZDTFlX0wJLjkugdmC/Ipn4x1jMic4BIDSB3tN2MPHiZKw6noqDHxcg96sSjJ4gdEOcp52gl3rLta4G0IzBiWWI6+XAzhr5g6YOyvUOF/rCFc7o5pFqBlr1wRKUtDvoge3aQqoC8aIzd3Ty90O5pBqCc+X1V5UeR0e4KqjqaW1nNJLeaWP8Es5GeU7Dw3kdkyeTHvKWkVjt4DGlhFIzXlgmweeMfqQy+obI+q2qYmuOXHo8ZQFCJQX7sRjcBbEUFkQZ5H2psNOICdKTfho7TGi0P+1iW8OL+3D9VZWSg+Gl2wCgVxSP78kcKYZ3bgZbPQ5IIL3jiBOqanMLa8BH9OBzPD1Cnu2Rk9hWcHll/xNq1ncXp1RO8e6770aPHj3wj3/8AxaLpVs73rRpE8466yyMGDECO3fu7HqFnwmNjY2oq6tT/nO55GW1Wq0nzLe2nr6qar9G6A3ykOl+YDnTH4uAHvJiO38OLb+PnIvO96c9p6jeoQAAS03n9y+oQcNPgFOy1O+77z784x//wJ133on77rsPs2bNwiWXXIJx48YhOjr6e9e12+3IycnB8uXLsXjxYhQVFcHtdmP48OGYO3dud87htGLQoEEoLi4+af7pp5/G008/rfz7qquuwqJFi05p28faYmCEEbsqaC35JIhlVFjHYMzbQ19Xxu/US9bkpBAW+fpr7lkAgL8P+UiZ29jCbkoJfhY4jfJHx6BzwezTiX/nU1L4SB/p7hOkKn2r7vTid+wACnfUISjEBy+cux1BwbvwSSNlY3ExFgDAvftYFiIuhB/lNk/xK28JX+DEAOCnlbKv+cmb8F5bMY4DCEg0IjpDpF+HrWLhGX1oIcbGi4X30i7KBF8Zt0gZ/6tcikMF6ikl/e9kBque+jwVx4uPwRRsxKTxdvgFFWJYINsvPlAxGwDQN56BxgYbaae/ZEi5YPV1Xt2YqYy9hbYuS96BA1Vi2QVGmGBzS2Dx74fFe4kJlmvS6ZQ/LK12I5o6/aH3eAXj49gBa2WJ7Ku5QsXNGxnIhKd41/hhDGKv76CF6LLJ6603k+Zxt/MPWvsokSQ6quh5u8wMEOo81mOImc9JtYnH4m6Vc2vU0bMMNnHZmb3kmVVb3XtraOq7PQHYLe8OVuYmXSGS1AaVZNBtODmQel4CJbxeOg8AxoVJILLIRtrr5QIG/L3Nwv8z9F1l7vFCerx/SNkKAHh6H2M8+qOqY+ktAdi5obTubyi7TBl7pasGlczz7CSVNLhN3v1gA69T6e4EuGwnNyn/sTilj/qjjz6K66+/Hvfddx8WL16MTz75BJ9+Ki54UlISBg4ciKioKISHh8NkMqGxsRENDQ0oKCjAvn370Nkplovb7UZ6ejoeeeQRXHzxxaftZDT8OOz+tBTF60rhsjvQWdkIa14lDIFGPPB8JIKCfzqrtq3ZgU1L5UMeNrJXF0ufGvYtLcb2/eWwd7hQWdyJvAOH4BtoxIwnRsIvyNj1Bn4krM12bF8mFMKAyZFdLK1Bw+nHKQdKExIS8Oabb+KJJ57Ayy+/jNdffx1lZWUoKSlBSUnJtyYiefObDAYDZs2ahWuvvRbTp0//UUlLPzWKiop+6UP42VGytxENq1nHxDfYhIF3TcLwCfnfs1b3sejBQrQ0OJCeHYiwMb27XuEUUJZTj32fWpR/G4NNGHrPeKSODv/ulU4D3l94DK0NdqQNDMbAqdpHXcPPjx+tfomPj8fChQuxcOFCHDx4EBs2bMD27dtRUVGB2tpa2Gw2REREICoqCn379sX48eMxZsyYLmvC/JaR93of6I1+mPInum7BBgni+BpIybSpdMNeje7BEAZXvVl/d3zEQOBD57CLUWFHNPz14nIH+7Sjl7EKL/R9T/l9u1W07xs8daYjbu6JPn1T4OrsQGd9DdryV2DXX77C/J0ZGHGvBC93lDATc3SK0BZxscwY9Wa+AuxoNNi/iOfkoj758YaZKP9gG0q/aIB/iC/Oenw4DvmRNvEWUzonjNdpb1AqAKA0ih9ldQPrASFSiCnTX4JW/Z6KQfo/dLC2uVBSYMcNj0Ziy33f4MBnIxB5sbQPaxnN7MipPSXjtIc/s/++qWGhpts3iUfpq6Iy7h7IgmkHjInYtegIdn9RC72fGT6jbsIXNaSkzukhwek1VXI/nR466lh1NEqLk2Dyk+2uKCCVkBohAbaWZtIjMZHcZma4UEXrj9PLMfnz+Do8NpPTxte810D+8W5oF3rJkcZr37GL19fXsyvLOO4/pT87VNV+JVSKazRjB5UbSK9ccIloup/aziC/Kg6M6DiLHEcA6Y3jnoJgmSEMuM6Zk6OM/7pemmg0xZEa213OdyfAIMeSrSrWZjlEahMe+uWadVcrU38ayYJg3trqDwz6Qpl7pPh8Zfz+qFcAAGtbSb3d1pvrf147EAAbiQPMbQAAnV1uyuwx1OE7Al1wqfIDuovTImnMyspCVlaWUthdw/8mfIwm+MUlIfXSs3Cgcxnylx1F3IhEJJ9xemtI164+hNI31sPor8dl/x6B8KQAoK7r9X4MzAE+6NPfhOibLkG13YGWrdvh3ycDAdkDul75FJC7oghbXtgHna8RSRcugDEsAoBWyE3Dz4//zWaiGn5yxEwRS6Rs48lB4+5g55pmFDzzBXQGPS56biiSBp6sn/+pEDgmGwBgPXjo+xc8Rexb24BVD2+Hj8EHiedeDf+E1NO6fQ0aTgVa8tHPCFuoDnqTDis2Mdof1MMCABiTQCXGbQcvVMbeYkuBvnRxm1aEAgD+8ufFypy6jniisQGtBlFZHGpLwN/LJsPh4t/v8iViefe/gh+3yZewXnukoQW56RYcBlBV5oPNR3tiZhZ18C12oS3STGyi/FYJGzonB4lS5dUjrFN9RuoxVOyuxuc3HYbbDURffhmyxtYAELqgYDdd6OFT5Q9JhYMf/HcLRBs/IpZu9fIKFiHzavdfLB6vmqNCIjy8Fb7xOtQC6OF3HHfO+BAHrNznsEDRDW9R6YvPictRxukpQgd0uvnK/KdsEhpyyrDrz1vhdgOjHp6MP16wH4BQLatUqox3cySL1e1xv9vbhI6KDG1FSJRFKbKWncHzK20OlWXCqSJqaCXtsHm3eBv+KocgdjpdnqJq2aZ/Pum8QlVKvNNfuBCdg7EtdyRpAHugzDurSI8U1nBsHi30W4CqiFenqnH19ibJLbhwIKkGXx3VNV7kBJCyOVoVfcL/ASAii+d/8QgpDlbVSRXOwDhVC8Hn5JqsmcUYzd1nL1PGzxwUFVJqMrXnaoSbRN3yVhmfZ39V42xv0/fXc6kms7Xy+iYnSDG6cVGMRxX14HsS6il8N1SlvJp+5gFYW5y44FuP6NShWeoavhVHd8qXwjc6ooslfxhqjzTgy9vWw9npROTFF5x2+uOHoOWAfDCjk/26WPKHoelYDfbc9zlcdieG3jMBiZN6dL2SBg0/MTRL/WfEWZdthinQFzG+/Msf78k0fKmM+mvrQQardJ54y8FQzk29JgcAcP+nlyhzAZnM1GsuCkV73nEAB+Hr40Swrw1xftznlBtzUZ3filffSIN5UD/oDAbkxotl5Ha7cWb+Inz9ajV0OuDPNzQhfcAnONIu2nFLeRvemSHlRQcfppa3dygtnzqbFKBKjxSrsbWkEctuWg97mx1pN07GkEvDABzHf9ew21GKqiNRq1Os2PtutqDiqyNI/8NwzL1VMkmtThaU8lrnAJDhV4GS4x0YcuQ4hk8NgcHogw2ejjRutxthezdg/8dbAR3gmjQGy2ujMT1S9MN1ZTZcmC1Bvc1FvI4vVU9Sxk95snevHSslo2sLW7H99s/gautE2KWzETEtFc12YEkla+UcOsiyB736SoBxTqxkIr79eTl2AGhoCYCtMRhhsWKNHtzOPwyDR4nmel8FSyh3VtNSnzBFjn9raaoyV9emKn/g0XQHFzI62ZROq9yQLrkMtkqVDttES90dKOOAMGZkqrNXOzvl89GhKujVR6Xz31QgWcaTe7LJ8rEmdiQqypPg/4TBzN48bJftu+20N61OBtmrO0RoUdVOS12djRkwXzpLxdhVRcbcfGZGeDoXTQjjMT22gzr1gH3yB98+it7BfwdT037Opuvl+Fzcp1EVPLd5ylKrm5rflc6Aeq1Djn9VI7Ohd3ye5el8dB9OB7SP+u8ULfWdqH9pMRr8/WBMSUBrrAnOtg60l9Rhd3UTfHyAy+5NRvqAwBPWU6rv+/xwJy/n4a9gt1jhG2pG27Eq7HxUFBh19XTLdf39kHzJ/yu05ZKd+fzArFZLnQPP3VIEc5AePbLM6AypR0eLHQ2FTWipaIPOR4eBN41GeOaJiXLec9Kfwtvw/p05cLW0wScoAJ3F5dj/hHyAdSp5R5spDSHTzviuTWjQ8JNA+6j/ThHbMxAhc6bCdrQAjuo6NOa3Quejg29EEM68MBhzrghFcJ/Yk9arPurhUUcOOem374K9VSRzdosVNd98e5CywZZ40ke9Jb8OOr0P4ib3BtD+reupkdLLhAtvjcPh7a2oLLTB0lAKnU6HgBgzMmano9+FveGTlnLSeqW5YrFOPOeHa9jbm8WFcrW0oW3zbrR9yzKmXp3aR13Dzw7to/4z4uvyTOjNJsSo0ue99Zm9aeMAkDiczYnD/eRjNjdqjzL3n8KJAICrZ7IKoZrS8c1w4khoE/4GoN1pQFV7EBbEbFB+X9XSDwgOQNjksYBk1+OOqSuU38s6w1EEoM5CK73S6ikZu7EAOoMPEv4wCk6wMfOOj8iR37XgQwDUps9aNwRH2kgheNPGTaoyAA63Hl5d4/TQA2hudOCFgjqMPC8OF2SXINwgn011R5pPqhlwfr5QPp4P37AcMz3K2ufz+EEdHiNud08zCylZnEJl7N9qhc7gA+d5ZyPHRrXPzPD9yni9r6Tsh3iKQz22ZsQJx5LTIgHIZjvd7qGhRQDkHi3KlcDbG+0SYCtqrQNQBV+DE0ajAxZPc+fEgap66Ac8RdJUEubwNNJDW4ol4O2s5D5bHaRSho4SyirvEiZBqett2rZIvMRP5QjZ4ulpmMLlj7E6EJoew0CstwG5K4z0w/H1lL864uT+birjXHSQqmaSUyiMPoHsbJQ8QAKtX5dTB67OgZgYKrRJbSDzXdT34cMieSacXzMW9OyAacr4kmFShmBFLZ/XGX1paHT2kU/iziqV9l3H83d5iqPpWvjpVDczz1sj9NmXmbzS8Vm8Z1EeAcMxC2moATOOwt7WibwTS+3/aGgf9d84LAcqcOjJr/FEYBVueTga5oDuxcbr95YjdHI2jDGhp+cAvwMHtlmhN+hw5nWpP+l+ACB/RwMSZ2TCHNe9NmJdwdXRiaL/fgYAaDtU1sXSGjT8OHT7o+52u3+V6f4aBO0VTWivaEIlgOvvi4K5e2XEMX7RpSix/PTa8jEzgvGPMyb+5PsBgDuWjcba2oyuF+wm3A4nGlYd6HpBDRq6gW5/1DMzM/HQQw/hkksu6Xrh3zlGRhfDGOiLQYF08UP1QisMCKMLt7eBul1x4YH8DtbRDjQyrduL/+ZTnz0kqgzoA1y7i/TE7HDRbLe5RccOAAijW/nPQ1R63JG1CgDQ4eLjER5C1vjQIVF1hPZhy7Bpl7C58MoGieyrSwuc1YuV6nLr5FxSg6lpHhLCa7K8QWqXXxnJdnB7PCUBdrdwm8G+qsp2nop/asqloZza/fVb5VqkXPKNMne4hZTQI6lLAQAWF6mM+4+xCuW4vh4qo533QU0fHayLAwD0jWB6+7LSgcrY7dbBx2zGxNW3K3OFxbKttgZg0nC5Pmr6JmmgBQCQU8nGyPiMtIJjrJx/WE+69wOjmMa/4xOhGNpSVdpwlSbdOEiokJAV/Evvo6IB9UeF4qhLVf2eQXrG5XdyanvcaO6/sEgC0tYmnlOHquJjXC/Rbzc5SFV4lSznJzPHQHleAbxQIM9pZT4ppcvGsG3jo5lLAQBLoxnzmRrGZ+8/xRMBsEwDAFwQw4D9a6WSW2HU85rtbCd9FBwh74HVTHWNV9sOAMEj5Jy8fRAA4KXdfDcTYuVejYwuUuZKrOEnNHHvLrq9pfz8fFx++eXIysrCRx991OXyO3bsQPPPUTtbgwYNGn6H0LndbnfXi303CgsL8dhjj+Htt9+Gw+FA//79sXDhwu+skR4TE4P6+no4HI5v/f23iObmZoSEhOCcb66Gb4DxBKs0w0+CROo63R1OWsg7a8UqnpnAYM7rW6VA0L3j2SS5UtWO7s21YhlcNYnB0a/Kmd14R0/JHl1cxay5jCBamJ8cEwszLapemfNTFSiK8hMLb1c1g0mWUlrFN4yXAkfr65id2S+EwbDqjpO568IWKk/qWsQyfHXQW8rcvN1/AMCuTQCws5468KxQ2f4ZIdQ8h/rQgrr9iOTrnZvMjjVLSxgs89a8HmhmRufW1p7KuNkh+uUVOVwnOJLeyxlJYsmfFZqjzC1YPU8Zm0LFQr28DxvCHFF1wAozyrGqGzMfbRRLt24fJZiO2JO9tLhYizJuWk9Pwpok1qavhda3H5Mb0ZIuv5vjGby02/nseeusq43IgBL+I3lWEQAgf1OqMqeqowXz+XJPwkxULh2t5rmEeLoYNe1m0NCQJQH/6akMwh9u4nWqbZPgvTfwDQD5LbTay9bIM3HdpQz8v3z05Abquxv47Kp17gWFcv28eQMAcH1PvkfVdnnOB5mLlLlbtrN8+KPDJHt1vypb+eOj2crYXSjP9pBx1Mk3201wtHVg1cyX0NTUhODg7sV2um2pp6Wl4dVXX8W+ffswbtw47N+/H+eddx6GDh2KZcuW4fDhw8jLy0Nubi4eeOAB1NbWwmDQ4rMaNGjQ8FOg219Xm82GW2+9Fa+99prS+s3tdmPPnj0499xzv3Wds846q7u71aBBgwYN34Juf9Qff/xxvPzyywCAiIgIpKenw8/PDy6XC21tbdi7lwGPHj16YM6cOVi4cGF3d/s/iZ1HU+Hj74eCOFIN16eLm1fbQU34hmN0+4eni5vZ7GSwaUSWFAtSF0fKa6Nb6y3QFGmgC2k0kD45Zos76di86dcA4CgTF/FoDfcZ15P65CMbRD/94qUvKnP3+zKouLeZrqcXIwOPK+NaP3Ev1UXA5iSQVmmKkv2ubSVldG//rwCcWCSrsolu6oNpQkV92Ux65MvXWVCsZYS4+nVxvM5nJpKqCTcIBfHYMaaMT4zLU8Zf54luemQmde47d7Bo1LpV0ji8+QrWlQmOJq0xNE54ibe+YEB62hTWiy+3hsrxtTMo6W2M3WjjvTUeIz1jTZF72rSOlEt7nCp46WEVQvLIsNYPUrWG6xBH3d9EHbhDFSjtPUAyf/P2kuZqS+MzV7gmFQAQP47B0YCxDL4f2SO/l+u5T984UmK1xfIemFQEcEaU8EOf7GGQP/gg0/ynXCkB+ZwGBo/VQc/2WDm+twqZyOZr4DGPCxLaY3k+i8HZ2hj0HJ8lNNrxJlI66xpJjVa2yTP3xmGW9QjvyUDupmahHA83kjI6pzcpv71RIoJotvM+HjmUBFf7L9TO7tvw4YcfQqfT4YEHHsADDzwAvf7ElO7Vq1fjjjvuwP79+1FTU4OpU6f+rhtlaNCgQcNPiW5z6sXFxTCZTHjwwQdP+qADwOTJk7F7924sXLgQbW1tuOCCC7B79+5v2ZIGDRo0aOguuq1+SUhIgMViQWtra5dJSE8++STuu+8+jB49Gps2berObv+n4FW/TPz8ehgCTBio0qQnGEW3urKWadGBBrqwXlVE7wCmj/9ro1Q3PHMIKYujTXTRewULVZLfQk1zs420wIR4oW+GBZBKWNvE1m2TQw+fdA7vV9OdTTaLu+lwqTrTu+gi+3vSuqOMpH8aVVpks4+c3zu7SL/MHUSars1Tla+3mYqc7RbRCu/em67M3TmZCodnV84CABgTqUgZFM+szR5muSbv7uY+M9NJGySZLQCAeD8L99mQqoxTAuScMwOo4nlh2SxlfOUsqd74+kZqkoMSeP6txeK2mxJ4fNPTSP8s25cNAPArJBVw1rnbAADbaqnNb2zjdfT7XJQY9eP4vMDKe+L2FSpG56Dt1r8vVSOHdnn016rXNkplb9V6pN4+nVzAJ52Uku8OobICJlFSU1MZqoyj1wsRUD2O1N/YLFJaQQahHGpV1F/ucqEv2vpR5RMQTGrCli/XMXsk6by9xczruKSfaM7fX0nFy1mTqThatk1Oyi+GNJC3ZwEAhHjKcrhVipjaVlJ2V/US+uf9F1h6oCGb9E5qT3lPi/JJialx8UhZf8WbpAazLzyEzrZOLJn89q9D/TJu3DjYbDYsXbq0y2XvuOMOmEwm7Nu3r8tlNWjQoEHDqaPblvrmzZsxbtw4hIaG4r333sP06dO/c1mHw4Hg4GC4XC7YbKcvMPBrh9dS7/n2vdCb/fDgAFqY3zRK4G9MCC2PJ5dSNWToKdbe1FTqWmeHSXGvr1VBwb7+tDqfeeM8AIA1gUGzkUO5/vaCVAAnWiMXZLFg2NoKsZaMqgDTi31YU/rrVskYrVF1n1EXVaqyyfx1seuUuRVNzK5cXSEBxrGx9BTOVTWZ/leFVBlTN+/t6yn6tKeJQbs+gfRe9jdJ4Ox4HQNcl/TiNt/6ciKAE+vO357BhsHbW6QQ07oSBqmtqobPl2WLhXWslRZYURPLJbyZ9SYAYKeNVrW3YBgAHLVK4CzWyMS7d4+x9npnuQRIr560Xpl7fYNY/f2yKP4+VMQAoU+9eEduA19hd7Aq/8NT8zvgGL0o1S2D0yzrBRTzObAmcluBJTIfWMbnoGIil9W3yzjlS1rVJddz2fMycgAAH6xnlyB3CI9v3mDJGC5sp0e5v06yfBODWKDO2wEKAHSeGvH+vgzuOlVdvSxtcs/aWxiIDAjht8ZbDz7Qn8ecoNrXhbFi1b9fOVyZq2zlRWtqlnsaEUqPxazqSjYmSp7pdzePVubGDabm3puPUX6Ez1F4zwY4rR3Yd/4zvw5LfcyYMViwYAEsFgtmzpyJiy66CDt27PjWZZ955hnYbDbExHy7a6JBgwYNGrqH05IF9K9//Qv19fX49NNP8dFHH+Gjjz5CXFwcxowZg5SUFLhcLmzbtg1bt26FTqf7XmtegwYNGjT8eHSbflHjrbfewqOPPorjx0kleIOn3t0kJiZi+/btiIs7WSv9W4WXfunxl8eh9/PD05e8qfzm4ymW/WT+DGVO7U56tcrTo1gm4J8HRev8zOAPlbk7Fl+tjM+dLW7t8g8YjBk2h0WNLJ3iol4ayyJc9y1nQbbpE4WK+eJQljI3J4txkGU5UnArowcDvuMjec+9uuH38lhU6brMjcrY28LvSDupBPWyPtvE/bQNYnq5s1ECiOeMYvGlT3ZTy9w7XeiZ21JYsOvzxmxl/OVhoYzc7bRjDCF0wWPDhRapOEh98UtzXlHGjxRIwlyAytWO9qMLvv6wUEoZaQykxvozUDraQ6/l2bj9jzfQxTcny7JZ0aSUKq0SQCwpYBA86AiPvy3JQ0XUqAKZqioCvp7L51dPGq4tns9Wpyc+GVzMT0DNdG4geIcE19tUlIxLJSpPyZL7X3iEhdECEnnOfaMk0L1vHfX86uPzBmjtgdymXy+5D22VDE4amkntDRsvweXS1lBlrlcIA7XBnuDrsRZes7ztpMQC+8qzZ6nj9t1OXj+T55nw0fGYQgP4HDZvlO3ecsVSZW5bM1sQ5jcL/TckopS/16Qq48pC+T2jD4P41ucS4bDbsG3FA6eFfjmt+fpXXnklrrzySmzduhXffPMNdu/ejcLCQnR2diI6OhpnnHEG/vSnPyEyMrLrjWnQoEGDhlPGT1KEZdSoURg1alTXC2rQoEGDhtOKU6Zf1qxZg4kTJ8LnFBoP/97hpV8uXn05jIFGrDvAtOPR/cQtvz1+pTJ34fKblHGPfqJqifanq5/kLy5ksZWqAUsndeihRnFBo010hYcGFSrjh1ecL/+ftUSZK7OzdEG+VVzMCyIY8H6xguntqQFSvfGghRRaSiBVJTPDhKrxtrMDgMWV1LmXrEiV3/tQwTAqk/RNUbMcS/VhutCmFDmXO/qtUua8ndkBYE2NXNM7U9i5/b5cli64p7eUGVCXSFCXWdhYL6qXOH+qU2JMHHsrS14XvVaZq3LSTd7aKoqht7ZT9XDrGFJBr70u9JrpDJZbaMzl/ZsyTq7Z1vezlbnAaUJftHVQu+73UagytgcIbdA8XkVTNamWrfS0XlNVDog8wHO2RsrvdlVvcWMLPweesvjwbVUpXlSitbYecv8i4nidXF/wnBoHye8BEdSEqxVFPg2iylHdBkT3r5F1N1NMMXUOKbevCyWforOBzztU6p9hGfKc79pDFZMabh9PM/MOfr/80nj8HTa5fm7VNQvYzWP2myJUT6yqJeXBnFRlHHpEtjv+Gr47K/L6KWNfXzlZRy6fHZfJDZfNhqL77/9l1C9TpkxBdHQ0rrzySnz00Udoa/u2lrsaNGjQoOGXwClb6tnZ2di/XzIZdTodjEYjJk+ejNmzZ2P27NmIjT25A/3vHV5LPWvJn6E3m3BBKrMnvQ2jVzeoGu3qacF6Az/e/wNAu0usiVijRZn7105a0lcMkgBobSdNsPUq/fUz2RJgvWUX60CPTc1XxntrJEPPUkNLODmZwajyWtFnT+/NzNO1xayd/uTATwEAvjpqktVFl25afzkA4MwBbO02JpiZhk8ePhMA8GA/6vkr7LLPL6pp9bR20hOYHi8BtPU1PM/z4nmd1zeIJb+vkkG9c3sx+PvhN2JhDxjJ65DfQKvT2i7XXN14ufY9BuAuvUU8gb5+zBdQB2q9ddL7BTK4/OI3U5WxnyfYGT5JVXd+p3gVqgZL0PenprqjQCw6o+XbA6XRORLUtYWTZTU20Szu8Mybqxn8dRpVmu9eYkn71fMT4fUOAKBhjOzM3cFAZux6jqtHi7mb3ofnXLSH2Z/+1bKt0Gk853nJ0sUot50e1ZJ91POnJYolX1rHHIHwYFWRsDy5Z2OHM1t341E+m/CcirpxdGQ6+wbYPVnS3kbgAK1vABg9T3If1n/AwH6nqrujI0DO2dDGdfqMYT6Gt6NSg43Wf1VTMJxWG/Iuf/KXsdRzcnJQVFSE559/HhMnToTT6cQXX3yB66+/HomJiRg5ciSefPJJHDlypOuNadCgQYOG04ofRYwnJyfjpptuwurVq1FTU4O3334b5557LsxmM3bs2IH7778fWVlZ6N27N+666y5s2rQJp1E5qUGDBg0avgOnVafe2dmJNWvW4NNPP8Xnn3+Oykpxq3Q6HSIjI3H22Wdj9uzZmDZtGvz8/LrY2m8HXvol6ZlH4OPvB72q4fPknpK+PySoSJlTa5m9OvYttWx+G+UvcYxegTXK3NI8lgy4KEN05lvquE7pZtY4TxsnRZ3UOuoSle731lRJn3+9gkWRDm1mIa2oQRLAsy1jMMs1gzWln+r3MQDg+q2XK3PPj3xfGd+8VTTxs/uyINlnG+liuzyp5GP6MHh6YZSkb3eqyhE8m0/6wuEU+0RdU+6m9DXKeI2F9JYXxywMxFqs4g6/OPAdZa7KyRZ9n9dnn7R+lInB67wWack2Mpyu9otbJypjQ6BQak4LKSOYSIVkejT/FR+nKnOuyRYAQOe+UGUuuPDkQGavx+gVt4+hJtx8XO5JS6aKRorh9TO0e8oEVJLuswfy98aeMm7rSf4nejN/7wiRi63qT44Oxtvh9JftOwMYdTSXqhpbD5fza21WBfm3ynj6tWw6/uky5lt4G1sXV/GcgrdzfcsAOdZLhjMH40gz36eD20VTHpjBwH5rG9d3Nsj9mTSUeSH+Kjr0i92echd+vHe3DWPw3os38qn+a2kh1ZIcLVRPk4p+cbl1cFo7cPDCp38dZQLUMBqNOPPMM/HSSy+hvLwc27Ztwz333IM+ffqgtrYWr7/+Os455xxERkbinHPOwaJFi9DY2Nj1hjVo0KBBww/CT6pLHD58OB5//HEcOnQIx44dw9NPP43Ro0fDZrNh2bJlmD9/Pl544YWf8hA0aNCg4XeFn60DdM+ePXHHHXfgjjvuQF1dHZYvX47ly5fDbDZ3vfJvBFeN2Qi/QF8UtjOjdm2hROYTVdUDLwilxvWKXdKRXp227KVf1JURO1UtuQaYpaqfPopu75IsunT9Q4UWO9pM+kGNra2iIBkQQiVHaf9QZRxsEiXO9OvXKXNvfcP2Xk8FiHrlumyWBlhcwzrmdwwR/fabhZwbM4IUgreMwT3xXypzuZ1C9Rxqp3rCV6+qYx0sVMOtcdSG72wn/bS9XJQq8zK2qvbDZ69niKhaLl/zR2Xu1lF0q319ZF87Klkl8sxkHvO5MUJ5/ev4RGXOP0xVB7zVQ7s4yA9NUlXvW39cngNXH56Tn6eioKuPSjZcwGNOWC/LVl3GFn9R/96ijF3+ch0r50cpc4HMXod/nTxT1cP47OjINMDPw6iZ9vAzYTmblFPoZ1JZsm4Q13EG8PjNxbKeqYDP6ZRrtinj6cFCv127/Bquf6a8B0sOsgSEK4rbrNogpSV0GdTmWwbyoOOT5KA/2KCqDBlE+mjgCKHHChvJE7lqSL/4eCpb1rRT+XVjEmm8LxzZAADfMtJoS2KphDkrQRRdcUHUvlvqqUIL9JSZ8PY8AICv9/eDq52VNLuLn+2jrkZkZCTmzZuHefPm/RK716BBg4bfLH6Rj7oan332GXbu3Im//vWvv/Sh/OTw1bngq3MizZ9/pf3TxcqYEcyg4T4bg5peC91WRQvt0oFi7aiDd7GxFmW82iKW26ww6rCPxjKo2WwXy2ROTI4y9/RBBh2TEySYk9NCq3RBOgNX/Uxiwf9xDwOhd878TBm7PHXatzex0NG4MOrQn8mRzk0L+nOb3m5IAFDQLpblq3XjlLnd9XJN5ibwnPwNtNC8tdv/Xn4mj0PV0sdaI1ZlVVqoMhfsS0t6QqgErB39yEiqNfEzYyRwttHOc/ryLWaP5p0rQd25ybyPua0M0NXYxFprs9MqXreNBdMCSmS/kWfSO/Japb6qjEubShMdflD02R0htCp9BvOY4dFA9FhKq7Y1mVZpYIFYk+ZyWontsfzdGi0WtlNlRMYt4u/FF8j1H9KT3ZR2H6N232vpN4+njtwb+AeA67ZfIXMdvE/B/nJP2g/yRKMHUxBgS5JPlq2UQezAOHoP3uzbqJ7UnjftpKcydYTkVvyjfLIyZ6rjPbelyjlVfEAv74asPyjjXplyf+qtbBBetY/v1jJPMb7KUnoCaWns4HWgUDzNolBek4DjvnB2qG5yN/GL5/ofPnwYjz322C99GBo0aNDwm8Av/lHXoEGDBg2nD784/fJ7wmv7RsPH7Af/AOZyX9vn5AbcI/xZfOuRgctkwG5wsHoKZfUOoFt3vInB1xR/cT1v+uZKZW7CIAb1wo0SeHtk09nK3HuTX1TGtZ5CVf0jGVVrcDHYs2CnbNfeSirh08psZfzHpA0ASDkAQKqRZQbuypbiZW+VMFB6Y9o6ZfxhPYNkXniDw8etDO5eGs+A8j3HpAVguB/d2oPHGVS9aZwEPT8q4bZjAqjTf/qQ0E839eVx5JlULccM4uLrfUgfNGcyALc3X+ghRxrtpOMrSdU4BsjxhwXx+Ez1XLa1n9BP9i2sMd/jPamt3t6DrrxaR378DuFFEhbTdbdkMiBuCxNaI2Ybz9PYwuN3BMlzVJdNzbSxmQH58CNC21QNV/3eSJpsYA8JuB//gGn4Puncft8rherYvJsF7DY+yXuesEDOr0RVZqCiNhQAENDPoswNjuJzuLFM8iXunUS6b1U9A8W7CoQyvHzwBmXu5Wbq3P97VFoETk4/psxtDyDN2F4l169xAK+pbzhpOoeHXpmVRB374uZhyrj2oFA986evU+asLr4njcvk/kaew3e344x2ONo6gGdxWvCTfNRvueUWDBo0CNnZ2cjKyoLBoP3t0KBBg4afAz/J1/aFF15QOh75+voiMzNT+ch7/x8UFNTFVjRo0KBBw6niJ/moHzlyBHv37sXevXuRk5ODvXv3Yt8+US3odDrodDqkpqZi0KBBqK+v72Jrvx2MTC+EMcCITTuYsn4gUSiC57+aqcxdOYUd5WcEiZqiyE56pcIeCgAIM1C//GBPuqM2t6eiYG9Wx5sSRnfxgU1CVTw1nu3wrlzyJ2Uc3l/UObf2XK3MvVFGpUefWHEd1dp59fju7ecBAO4bSp35G5VUspwTLZruxnVUhxTGU6FwTYpQUoUdnPPWPl/8FlULw+eTpuofLlRAuZWqCN9AUgUvH5KSB8OSSpS5IFXly8O54tZ/dhddaccrVNfEGaU6YqAft2mv477ssUI7HN5B1YSzF2m21HALAKDzZVYf7BhHqiIgTKiO5IVsZ1d4ldACKrEUggtVFTw3CC3iVpVxNKmqMAaWy7zTrGqBpyoT4EiV+eAirp98L2mJnauF1lCV4ofjrywHcWCnh17qwXs/biQrd3Z6Kh7GqqogjlFVLPxon1Bh/vmkJ0LGiNIlM5zX4atNFML3GihUzAYLyyGEGUlp6RpkW//dO16Zu3ogcxNe3yLP4erj5DOdEbymvsFyz9KiecyW9hMrKgLApB48z7EjjirjG7aLImxtjaoypAp9LpFlvdcGAPaVRMJltX3r8j8GP8lHPSMjAxkZGbj4YpZ2LS8vVz7w3v9//LHUCNGpC3Zo0KBBg4YfjdNa0OtU0dzcrHzgb7nlll/qMH5y/P/OR8n+tHbGBspf7mu/YeNo/yhVMM0oVtS5KdRnv75HAj8XZ+9U5pYeZ0Gv83rmAABCDNQnf1RCa+fKVNG5qzv/mFWFuAs7oj3r8zj0Kn1xWWe4Zx1arYPMRcp4paU/ACBXlbEabOT2+weL1rfCFqrMrVlLyykmWzwBdQPumz3FuTY00UKLMlKf/PZe6ax07VAGyHKaGAC7M0Hqnb9Vx6DZnnoGUsfFSB317XXUWQ8Io6ezo1bmp8TRKvPuEwDiPHkCFSp9cg+VPrnokNRxV9fZjttKC7mun9hXEUd4T5pSxZqL2U6PrDOMVq3xS95/L+zTWBjNr0rWa+5Nj8JcparLHy2BUks6rUZ1lyS7J+bqUunUjSznDluURwc/mIHMvLx41cKysWuH0fOMMTDT8q1SCZqW5nCdSRPEM40zcUeLD6vOyU+s6sCPGRBuv8CijH08nY2aCkOVOXcILfE/DBKr/b1PJypzwUMZxPc3yrI2O0/aW6MdANxGTxG0WD571hZml7rbPN2cOmmoqloJ4N4pywEA75ax6XhJRQRc7TaUXvvwr6/x9KkiODgY48ePx/jx47teWIMGDRo0dIlu69S/+uorPPfccygqKjoNh/PrQEtLCxYuXIj+/fsjMDAQISEhGDZsGJ555hl0dnZ2vQENGjRo+IXQbfrl8ssvx3vvvYdPP/0Us2fPPl3H9YuhuLgYEydOVP5Imc1mOJ1OdHQIfTBo0CCsXr0aYWFh37OVE+GlX3rf+Tj0Jj9kzmTK/IhQiUK9uGqKMnfG6AMnbUMd1KtoDwUAjAtjUCvKQC3ywgNnAQCuy2RBLW/qPQB8WSABsGGJDBrOimB6u7dQWHGHKjjbQRfeW37gnWoGT/eWU19t9pc/fFMSeXwXhbG+da1T9Osf1jEoWafStB/aJcHG+dNYSOnto+KuPjuIzbK/aWKafZiHKvqoMFuZGxhN+mRnuVAxYYGklGJVOvWMIKFK6lQtAI818ZpV1Mv5X5K5m8e0i0WjJmVJHsDagwyCG2rpwkfvEiqi5XJVk+Ytoco4cZXQDRXjeZ1jn5PiXIZ0Bl/dRm7TGcoAHvfJc2oYITp7Qzs5FXsA7TiHv1AElgx+AtRNpu0hsl5IrqrF3Wg+h/6B8k60t5J+MJSxjEDv0fJsH95PSsutahI9aYgE76eGMej4wG75hkxK5zuyZjOpxaB0KfiVHGJR5oyqwm4VrUJdRPqTsjpYTHonPkbW8xbeAoAt9ewV4KcXSizWj/fp88N8zlyd8m4EHeF9sI/iNc+KlQBvq6ocxJxYUqc1Hk5rcS4ppYXZn8Pa4sQ1g3f/Ouqpe/uVDh8+vIslgRtuuAFz5szBnj17urvbnwQOhwNnn302ioqKEBcXh2+++QZtbW2wWq14//33ERQUhL179+Lyyy/vemMaNGjQ8Aug2x/1yspKGAyGExpOf/nll8jLyztp2QkTJuCzzz7DBx980N3d/iR48803ceCA/AX/+OOPMWWKWM8+Pj646KKL8NJLLwEAvvjiC6xevfo7t6NBgwYNvxS6HShtaWk5yV2YN28eamtr4XA4TpifOHEiAGDTppNT438NePPNNwEAkyZNwqhRo076/eKLL8b999+PwsJCvPXWW5g8efJJy3wfek0tgG+AETEq1y7NJLrc6AyKkc8Oz1HGR22ejvIqWUJNhyRu/X3bdG7cRgWDKVoohv5+VCV8Wp6tjGf3PAgAqFfVE/dq3wFgSbHUh/bzpWrgskSm5B+0iWokycwa8DlHmAruypb5S8OoD75g67XKeGpPqSO+qYhub49onn9QL1m/xUlX3uzRh9/wBVVC44ay9MGmStFMJ4RQNXGgjprwyGBRK7SrVA3H6kivNHcKhaDW21s+p9tu8njTb7XyuZgxkC78jldFcz3ocrbgO1TZUxnXDvLYT4dClblAPgZw7REqwncYKS2fIeL2O3x5b92+tMM8xTBhLKGaylXNiob1A4R+6fUsheYlV/GYvIxe0hrSF9ZIVbu7S0QV0pZGKsFt4TPjVSf5HVNVdkzmO98jULTeh3yoQgpPtijjtTlCA26PIj1jMskzV9oWyrlk0hvnpQqVcURVAfPiaD6bm1tEH76qnM/j9EzSO1srUwEArQ4e8xmRVDR5K3PuzOGzOWkYczxyG+WaXjx6lzKn7msQrhfax+bmc3akjc9RXadUdxyRxMqWC9+/GE6bDQCpve6g25Z6dHQ0WlpaTphzOp3f2mg6OjoaBoMBxcXFJ/32S8NqtWLzZikFO2PGjG9dRqfT4cwzpbTrypUrf7Zj06BBg4Yfim5b6qmpqUpiUXZ2NhwOh9J3tL6+HhER1HjqdDoEBgairq7uuzb3i+HIkSNwucQazsrK+s7lvL9VVVWhoaEB4eHh37ns/0f/4HKYAn1P0GffvUOyL32PM+h1MJH66aUlEiQy6GmpX5Yslsm2Bgbl7pjFjNJYgwUAsLqZtbVDTAxwfbRJ4h/njKHOOcZAC3dinFBnH6+iVbrGzH1Fm078Iw4APSYUKeNjlaJPv2TXAmXOXcXzW1khmvkzxjE422Kn5TTT40ksKWVHmdZ2saR79StT5uo6WNO6T7hYqBuPMpPvk4n/VsYv10pnprVfsKCXcaBFGRfXyn08owdpw/ALqfPfniMWblAuLbDDSxnAg8cpyP2KlnBnEq1Wc5G8aoHlNHZUTgGaL5drHVRM76ixn3hkPnZVILONz4HL4CnF0cBr54qljj/U01ipeg6PKfEbizIuPisUAGC5li6DOg/Q9rVYpa2D+ez4GFRB12IJKrtU5xmXRK/h8yPyrqT1qVTmKi0MBBs9hbKc+zn3xGVvAQC+aGTegrpBepa/eJ/vHmOgcfsOWuWjRshJD4+h4aj2vsbHS0brV+V8nuvrWLIkNlreg+QM5hicG0EL+qbdUsxuQyCvs7qGfHi0HGvTYdV3QXVNXR6de1CqSvB/mtFtS/3888+H2+3Gk08+CQBYsmQJnE5x5/bu3XvCsu3t7bBYLL/KAl8VFVRKJCQkfOdy6t/U66jR0dGB5ubmE/7ToEGDhp8D3f6oX3nllYiKisKHH36IHj16YN68eQpN4f3Qe/Hpp58CAOLj479tU78o1BTS9/VNVf/2/2knL5544gmEhIQo/yUlJX3rcho0aNBwutFtkzk0NBRLly7F3LlzFW332LFj8eKLLyIjIwNnnXUWbrjhBtTU1OCuu+6CTqfD6NGjv3+j/+O49957cfvttyv/bm5uRlJSEnRwwwfuE9qsXTfQoyVX1UtvcpCqcH8sWvGKkQxmtSSKu+0Mo9sboErzb3HJ+ptrWc87JYhBzYTeQlUUtFKH/ske0hIjM8VF/dPMr5S5f65mUPai8RIAXV9Ft75PGN3VTk8btMJKbv+duf9Sxn86dCn+P7YfZGBqh7+4sz411D87g+T8g+N4nvvLaRyEJ3v0560MWl24jU2kDR7a4MpzqVp6cykD3bEjhCKI97Moc7Ud1Kzrw2W/VhvvjUNVKKs9Ue5FxsukbGyxXNZ/pSewlkV6qD2B9FFnoNhXjgAev1+jnLPpMwYCDSo6s36WUABNWcyZaMiknZb8tVyT/Bv5vDn8Q5Wxr8cmsVSTftCpdOTmcUIR+BRQCHHWJFJ2fQeLp/rEDsagzk+mXPlfNZMAAIVHGbB+ZMpHyji/Q+idtx2UQz91XGJWU+PZlPvtzSzt0Ge83Cd7B6+9fwqNq83HPM+Ri+d854ivlXGRp0jczT3XKnNfhJJG85aTuCf/XB7zX//A8f2SJ/FayVhlLjiCmngvTRikaiSfEsLxRbFy/Z47zmdv5Jk56GztRMFpagB3WniQUaNGobCwEKtXr4bD4cCsWbNgNBrx8MMP4+6778aXX0q1PrfbDR8fH9xwww2nY7enFepSwFar9TuXU//2XeWDTSYTTCbTt/6mQYMGDT8lThu5bTabcfbZZ58w9+c//xlhYWF45plnkJeXh4SEBDz++OM/KFHp54aaEiovL8eAAQO+dbnycjYGPlUa6eOCbOjNJjgPMDB0ZL/Hgnx0uTL3n3X8K/63e94DABR0Un736pein7/rLAZHn887QxnXV4pl5V/CoF5hErv4RCeI5bAvj1IzvT+t/gMrJPC0YD4LMfUZwOzTBo8sq2cIA96BepZP8GblDUvjOnflna+M782QP/JPHKWF5xtKC9zbUUldCCm1h3gCfYMYdDMkMmi3ZUcfACc2HK4towXbK0MCrOUdocpcZxL32dwu3s9Hb01U5txjGMzyZskG7mRQspY10qDzeALHbuQf86j1tLrN6akAgOIZvPcpy3isvpFyTdviKB8MWiVSO108Ld3mUaqg3F65j9VjGJTzp8OEmqFCFQazvzccKmbRfIZIFhPNtDSPFPCZbi8VoyWkkFZv3Rh6L4chywYEM5BaZ1c1wfZck0enssTzowd5z42ejto9YvgcHS+XIPt6A73AG8bTu/rPdrH+9WYGlNuq6fHMHCqSx101fLbfKWbhtQBPYblmVWC+wMLrd3OLVJZ9JoOZy9ecww5iLxZJwL2iOlSZm92PAf9lOfJQXJ1JOW+Kkfd5v1Wo2DlJXKe8IxQuVUet7uIn71G6YMECHDlyBA6HAyUlJb/abMzMzEz4+MjlOHjw4Hcu5/0tNjb2lJQvGjRo0PBzQGs87YHZbMaYMcLdffXVV9+6jNvtxtdfCz83bdq0n+3YNGjQoOGH4hetp/5rw2uvvYYFCxZAp9Nh69atGDFixAm/L1myBBdddBEAYNWqVT84o9Rb0GvAh3dCbzahoZC0gLnSEyBT1WbqjDy56a29kW79kCzJEOx00r1Xd1LJr5YA5bSeDDat/ZSab2uquK59e5FKGh9Jffbn5VIPvayYgc7QWMoyWwpCAQCDhuYrc4e+ZgAwaKS49TXlPE8fFb1j9Jf9945iHethYdQVLzogdbbHpXP73hr0K/7NMs3Os6iJbmmRCzgrg9l/q0t4TDHBEkyrXM8cgImzGdTbtkgCxfYppFzsdlWmoKdhdFVlqDLnG0AKQJcnFICqGZUSiAQAl4foDM/lOuZCBtDcBnkO7BGkEnw2nCgJBoDmy5g7YLDJq9sap7LNVMPIffLsGFpIM/k8y33OjckBAPzjEJ/jYQmkzDbuFUrrnJHMnpwYzGfq9k+ElnBG85xG9GL2qtHTkUmdO3DFoG3KOEgvx7e+jr/nVkim6NPDVJTN0VnK+Koesv5/D/M5uLg3deTeHgHDzXx2NrT2Ucbv7BfqNzWOlE9qEJ+jCyIlkLm0nu9LmpnPaW6rUGEBBl7TdSWkiqamCGW2qoTaeZMvn/2LU+VYPynNVubOTcqBrdWBh0as+nUU9Pot4aqrrkL//v3hdrtx3nnnKfVdXC4XPvzwQ1xzzTUAJOP0VEsEaNCgQcPPgV9fFtAvCIPBgOXLl2PSpEkoKirClClTYDab4XK5YLOJVTFo0CC8++67v/CRatCgQcO3Q6NfvgUtLS34+9//jk8++QSFhYXw8fFB7969cckll+Cmm26C0WjseiMqeOmXlCceg4+fH56fvUj57bE8cS1TgukWbztMfbnOU6jLJ5zuXnqcuIO1bVQiTEukW2zyuL2flbDcQUY4Xcgdu8TdvXwiC6vlWEhLxPkL1bJhRbYyZ0ulukVfJ6oadcNe/xAqIC7pJS5mq5OUUXUHXcojDaLEseyhoufqud8o4xEe1/m1arrYPcziLi8r6q/MtR4PVcbx/aWOtTolXN2SrHWT7Ouay9gM+5+rqL03JQhvot9J9YZaKRJxUNQJFbN4zskfk57xIiCXSoe6MWznZ2iX4wrdRHrD2p/ZyU4/cZr9l7LuvM9AKXjVlqZSlDh5fqZaeSZs0bzONYNpp7k8j6lblaZuzCC9ZCvxlCGw0WH36cE2beNT5T5sKUtV5mamsYjaSg/FMCmR1N2y7aQt/jRB7mlNJ+99fzOLzHnbJqaYSIUcaxf6Rf3sjA5ikbSldaIuKW0NVeYGhJ+c2T1KtU5uOxU93r4A2UE8jtIOav9TTXxPvOhlYhNsH8j1v/E95kCMmkJhxRlhcn0WV1Dh1+7gc5gSKO/5niq+b22N/tLO7oaF//vt7H6tCAoKwsMPP4yHH374lz4UDRo0aDglaJb6zwCvpT79yz/CN8CIokZKIe/tK0qbPW2pytzZIQyQzdt+FQBgdgbLvH6602MN+TGg6m2oCwCHmsUy8WbHAcBfCucq44ovRcPrM8aizLU2U7fbI0Gslbo2Bu1amhnJjQgTa05d/Kn2OK2dvgMk6Fmj8iQaW2j2hnmCjpenMVPy3SJaNk1WOZa/9P9CmXvco28ergrkFbcwEKv36HyLqhncdTl5gC6Px9M7nTr3om3UMtvjxRMxFdELUwc6vWVqnSonLfIAvZfGDPkhuJhBMUu6ymbylslt4uvmDXQCQGCp7MC3lJZ+wzix5jqDeB5+DdQze8v5OhPoJelqaeEGplsAnNgByhv8BICgeDnB2al8tjbWMrM3wk/uU7Avt7+5iF2YZvWSoHSCyaLM7bSkKuNJEeI9/uvIBGVuYCyPZUCw5A68mTtSmfOWWB4YxSD+5pXMGYkaLlbz4AgWdluew3TsPumyfXW3ocrOUGV8rFW8RJuT9+ZwJcv4JoTLuUyPY7neED2zhJ/+RrqK3TFlhTKX184ckLNCcwAAu9p5ncaa2QHsinUSlxuXSe9mSvhhtLc6cP3gnVqgVIMGDRo0nAjto65BgwYNvyFonPrPiAhTK4x+RhwsSVXmPo0UffTO/XR7DaNJq5gOCG0xbii7sywLEHd0/sAtytyrayZxHU/Q76J8dhtKjKMWN2uubGv3RmppdYl0Mb2NfCMDKLrOimKwyJuSP3gItcBDR5MW+WqDnJOqWRMMqQzAeXW7LlUdgLb1DJr6eOJKf2lkUSXfepk8+jFrxDecw+PLiJYiZUNTeBwHPuP56UdaAACWN1kx0zGYBxjzjWy//UIGrG37SO+0ZEqA1FfVTLp4FsdGi3Kmypx/HekVb3OcsH0MVDYOZMmA5h5CbxkjGdTTd8j6gS08Tp8Ojh2xch19VJRLQCmpmoC+QmVszmfgPbkX6wgE+Uqg9fMSXlOv3h8A0ntKAHNiKJ+9KWHMA/jLBrk/Vw4n9dc/mLSJt+NPWwOpt4sHkHJ7rkhkwdf33aDMNTqE8jvQzCByyhje00viRUf+1+1nKXOzs0m1tHr4sa9reU5FFt7HiQkSQG1X8WhZGaSElhbKu/VpSbYyF+bPek/PzXwbAHD7jguVud7xqtoMofK/HY2kX3oYGXy9eLAc/zkh1NbfV3AOHG0dAFgsrTvo9kd93rx5p7S8n58fQkND0a9fP0yZMgUxMTFdr6RBgwYNGn4Quv1RX7RoEXTqiFkXcLvdyvIGgwFXXXUVnn32WQQGBnaxpgYNGjRo6Ard/qhfeeWV0Ol0WL58ORobG2E2mzFkyBClQ1B5eTl2794Nq9WK8PBwnHXWWbBYLNizZw/Kysrw2muvIS8vD6tWrYJef7Lu97eEjUd7w8ffD7owqiYaOjzurkqp8f5GVdPrRKFC1KnSGYni7hW3U3Hil0h6w+GQ6xiyk275NTdRk76xSepw2yOpuTaooisdj0gqdOfdpGw27yaVkdZP3NVduanK3D8mvKeMV1lFnZM+tkiZq26l1vq/GYsBAJf88w5lbsxFOcr4QIOn2fZaenHe4n9Vo0hp+JRRnXMUonkO9KeevyOCywZ49Ov1g1St4Zp40g2zhcqxl1F5EErGSeGEDLzM6FQZM6HHhBZx+HMuuJCUliFfrln1XFXj53YeS8TXQmW1jkhV5hovlmMyreExBVH0gZDdcp+be5GSsQ7nPv2ccn4hm0mpVExQUTme0gadSXwex2RQ372vVt7hklbSF8fzWTHy1jGiQ39u81RlTt3OzlsRcXw/qj+q7KScCo8IPROaRPrm35/Ic37p7HXK3KIN45TxB577eEU29fwWO+mdMk/D6ofTlilzr5iovvFSfnNVLeqcKhqwd1+56eqqp3VWPmd/9byH/xnxjjJ3/XK2bdwQJtRkZSvv2dEQXrNkk6ibgnx4zfuGVKNTbwdJqO6h24HSRYsWobOzExaLBQsXLkRVVRXWr1+PxYsXY/HixVi/fj2qq6vx8MMPw2KxAACWLl2KkpISLFq0CL6+vtiwYQPeeeed79+RBg0aNGjoEt3Wqb/yyiu47rrr8Pjjj+Puu+/+3mX/9re/4b777sNrr72GP/zhDwCAJ598Evfddx+mTZv2ndUR/9fh1amn3/c49H5+iBvNYFJhoVijEfEMoHnrjQPAFw0SuNlVSU21v1Es7KRgizK3p4ABQLdVHLDwRG6zoTRUGY/LFv1wegADOG8dYPEyXaXoxF0xtHqN+dSxx4/11Cbfxqw4exAtQF2ErBcQqOrGZKE1ZTSLldJZzbk7J1P3u75BvIJ8Cz2RJk8ALyHSosyV19KCdHjOWR3IRBoDqdEfyfoVZ9M78S2jJ+Pjme6Ipc5cr+qiZLSIBW6iIYqwPFpbnUGyrKWnqnMRJefo9HgaEYe5jltPq76xt8cTUPVnCS6WZWsGM6jXHqe6zg5Z3xXAwLq+hft3ejyxcX2oiR4RUqCMP/Y0AFcXtOodwKBfTpM8c4VNzKsYEc3Ca5/tzgYAXDaClnaIgZ7CKLPs945cBhUzwmqU8ZXRUui91kmr9v4vPcuqvNmhPRgovTpOOoV9qWpMHaza5x6LvAdH97Du/BljWbv8YL1YzZnhdMOq2rl/b9P0t0e+psytb6O2/+U1Etz989TPlTmjjs9Mi1Oes/JOPpvq2u1DgooAAJ9UsRh/cX04nFYbjl/xxK9Dp/7aa6/Bx8cHN954Y5fL3njjjfDx8cErr7yizHkDrTk5Od09FA0aNGj43aPbH/Xc3FyEhIT8oEBnYGAggoODcegQZVHR0dEICQlRqBkNGjRo0PDj0e1AqcvlgsViQWNjI8LCwr532cbGRjQ1NcFsNp8wb7fbfxfqF3uqDU4z0KFKUQ4+LGOzqmDWnWsvVsbGEKEwfFU1mWtqxT1raSd94G5T0Q4mccfVqdbbN5PKGDVRgnIvvjSb66SQhVt4trTyeqeC6dtTB7OQ095mccvbBpO+abbSxQwNEHe4rUOVU68qtBVolnPqP6xImfvnx2yF6PTz6LMzVM2yPbRL+zsMOk26kW71qoOZAIDwgTymuEDWgM/tL3kA3lruAHD1HIamlj0uLQKrw2jn+NWoNN9Vckx105gyb2jnOVs8HrqePyPwEO9ZQ5Dc55ZkXhO3ShfQlijbj97N69QZIus4VK9GSA8L91kvATxdE+/98DEs7LZ9h9BYMX6sd7C/lTRdRohQIUebWHgsUdV4e1yYBDhr2kkVfF1AKuK2cdIwJsmXPNPGFgbUP+kcKuura9DrSRVds0+89L9MZCvHv54pddSrHQyo9jKREnq3RkQEZ4aztMGqRmrSh4YJVXPeTNbKf62Ijasj/IWSOyOUz/PfqxnoDQqUG3jtviuUuat6sQa8b6zwYwfbqKMvbeN3r9YqN0tNMw0OJmW1s0X062fH8NltijTD1mrHozg96LalnpWVBbfbjSeeeKLLZZ988km4XC7068ebUF9fD6vViujo6O9ZU4MGDRo0/BB0+6N+zTXXwO1245lnnsG1116L4uLik5YpKSnBddddh7///e/Q6XT44x9ZtnLdunUApE65Bg0aNGjoHk5LlcaLL74YS5YsUZKKkpOTER8fD51Oh4qKCuVD73a7ccEFF+CDDz5Q1r300kvx5Zdf4oUXXvjVNqXuLrzqlzHL/gRDgAkOlS7W3yB0wDGV/jf4CN3p9uHiLrqqqDU+f4K4g58vGa3M+Y6igqGpVqQWVwylKuGtHdS+hxyS7fe/iJXoHKp2eCG+Qp/kNbPiYaQfZRkVbUL/hJqoOqhqow69vlp+T0ykW+5WFfWu3SlV8TqTqI5R6/R9q4SiCOjPc2r2VIkMW8vr0M7Dgy1aHuOYvnR7m1dT597WT+itcRlUgqhpiRUfC9XU3lN1TOAx6WvkmqnpkapZpMzil8rvQccsylz1OFJe3qz0sOOqKo5ppOE82fFo789rGrBHzlXd6rA9TqV08aiM/PaQzlRX3myxyIp6E9fxy+Gy1iyhGvomsXJl/1CmzO9tFHWTuuJhTgtVWAMCpSa5uoZ9iao2eZqnNvnKenrmewpJ/5yVKXXI4/1Is22pF5rsUCnfhw/GvqyMV7VKjflWB6mvLXVMyZ8RK890ipE12o/auK1B5iIAwLKGwcpcsh+fs/fyJMfiusyNPOZmKmn6exIF6ux83jP9ec28mvcXC9gLYEAkf2/slOs/OISKnpe3ToCr3Yaymx/89dRTX7x4MbKzs/Hkk0+iubkZxcXFJ1nswcHBuPvuu3HXXXedtK4GDRo0aDg9OK311K1WK1auXIk9e/agtlb+SkdFRWHw4MGYNm3aSQHS3wu8lnraG/fDx+x3Qh3yCzMkoLOynAGohkOqmuCxYo1Ff63qIjROLK/UdAaQKhoZWPIGInUqCyo2gFapt5b0lBgG1Qb603J47LhkzVXto6UbUM6D9jalcY+kDh67uP/2PmIB6o20EM3+tGrbD0lgSSXvBTKZqpkZU33CcQJAYa1YgE8P/liZe/J+BrMqpsi+QvfTy3GpYsctaaLvVhcZ6/M4NdtHHhRrL2YrvSjHJfQ0GhvFlA5bR7O5qRevr7FRrk9AJefa4lXeh0cy35LK3/0r+btX1uzX16LMObeFAgCsSbyObl/VPj1B9Hn9WNhtkao2eVyIBIrPimdQ8ZWPzlTGF86VQPGaqt7KXL8w6rfDjXLQkarC8v9ax6BibA+5PmcncvulNgYNvz4iVvW74yhhfqBgrjK+OWUNAKDWQat3baO8BwNVqbP/2TVRGev0cgNDQuk5qvM16trlPt3TkzkvW1uZxZvXKrE7deGx3n48Z++xvJFPz/bBPtSkP3Vcrt/VqbzmzxycooxDzOJpTYhnsbvBAUXK+LVSCdpa7QyYR/q3wd7Wia9nvPzrsdS9MJvNmDt3LubOnXs6N6tBgwYNGn4gtHrqGjRo0PAbwmmz1PPz87FkyRLs378fDQ0NsNvt37msTqfD6tWrT9eu/2cQFdoKQ4AdfgZeGy/toi4qpE9lervR424Gz2cAsONjCVb1GUL6JcyPAbajtVKb3KpqQZcawmCUNxj20mbWYFc3JzaFecTWSdymrZPUmcMsFECEiZRKXSYF2n8cJEGml/eyEFNbWSi330doG3Xw1G5noPbALqn/7RNPF9tHL/u8detFypxvP16zAb2LAABHgkgZqbevL5VrEZBhUeZqZ7GGPTz6afV1aMxVBTpDhCuqG8F751euCmh70vd921T0zbewjYZW7qCtH4OypiLhtNTlFPyHCX3ibuB99A3iNXeVyLJv6EgVGAykaibGSFD441Iqy9wqmuud/dJCsGcCn63dtSz9cGP6egBASSevQ0Zf0iLHyuRaD+hF6u7zcjY7v2eYUCB+Kp7N6eL1sTjl+I/beM9yG4QesXTwnBdPeEkZP1wkuRWtnaQj/fTcfnKQBQCwrpl05h/CNyvj5zqEKpkRRJ341XuvUsYp4fKepIeRertz+wXKOChY3gm7Ksngxn7rlfGGBqGyvijMVOa+AMd/yZISIMtqeU8ygyrR4WvH1zg9OC0f9YcffhiPPvooXC4XfghFfyqlejVo0KBBww9Htz/q7777Lh5++GEAQHx8PKZPn474+HgYDFpTJQ0aNGj4udFt9cvo0aOxbds2zJ49G0uWLIHRaOx6pd8ZvOqXHm/dB73ZD52qlH4fX3HbE6NJj6hd1JnxrJPjxdISqdzo+Jwt4ELOZTTf2wl90cdUKkSNohbZ9r7oxNtmUdVgVbv4ntZxA8dS0z0qjNH8Q61SB7vZznXSAuiufporx+fspIsaG02ljJd+errXR8rc+atuUMaXDxUd/sp/jFXm6j3p+fpi7rP36EJlfLxOFEPXZbJu/PPrpinj1N6icChvCFXmhidTdusDeQ12rKSm2shbAm8Z8NCRpCosW5kF7eeRRbeqyi0YrPRIbWlCtYSqatx3qkQO1l4eWsVH9Tp6uKC0JO7TW4McAHShnnUa+c5F7eI+a4bLszVoIK9ToYUVF72qjvveuVKZSxhfqoy96pRFlUyzvzXhG2Vc7xSlyb9LSOMF+pIemh4lz+6r+VzfoqKXdJ7H/KwMqmeOt8gz7VLlCJQ0UlFjLfUoZUK5n8l92G5vf51cH8sevhv9J/I5jjLJM68ujTApmr+b9XKf9OB96GmiOubpwukAgCERvE5rynop4+QQCwAg3KQqt6nC6BCpV59ni1XmLg3bitYWFyZklf86qjQePHgQOp0O//nPf7QPugYNGjT8wui2pR4SEgIfHx80NjZ2vfDvFF5L/Yz+d8OgNyHvKmq6zxwvOnWXKkLnr2cwbm+9BK4arLRwMiIkB2B3EbPzHhpGLe3WZgkA7qnl7+2raLm0Jcgtd5lVtbkDuc8+SWKZqANQfYNo6Xsz+NRWr+9OVp3qPVuskYMVzOSb05vW2K46Oa64ABbcyqlkgSSvpzIljRZYYasE63oH0Wr9sqCvMu6sEQt+zkh2tPnqs+HK2B4k5xx+UJmCZTqtKW+YJziQweG6Ct6nHmkSlC4sZlDPUKeiGD33z53Cbfoe5j1rT5br6xfGgLJDFRwO2ijLOpkoiSmXS3efLc/yPBoy+ZzEDZeA97goelHb6lOVcVG1eC9RYfTIQlQB9eNV8kyYTLz33kAhAPQLkefgo33MvpyUydyGtTly/dX11MN8GeQ/1ibW6LEmPnsjo4qUcaJRMjmTjMzo/E/pRAAnWvylzaHK+P7eXwA4MRBaYqX3kegvx59gsihzBarU4wMNYskPjWRwt38Ag7/bPO9Om4MGqjpjNkDP4/Kip7nmpLkPinnN1J53/0h5j3aWMzN3bHIBOls78fak934dlnqfPn1gtVrR0dHR9cIaNGjQoOEnRbc/6gsWLIDdbseHH354Oo5HgwYNGjR0A92WqFxzzTVYsWIFbr75ZiQnJ2P8+PFdr/Q7xfHLg+Dj74erJ61T5rwp2M8dZKPbW7PWKONlHi1xykAGQhPN4mKeM5w1o/+ygvptU72nzVk23e4AVcPky6aIjlydHu7rQ33zAymfAQAu/ZzdrPb4s6hRcKS42E4nbYLOLHpq8zwtxxY2s0Z6hCrVvE+oUBmrC1h729GhKi7uYRh6+dOt9RYcU7vKyyuGKmN9lOx/2bYhytyUmSxEtfUjaX9m6UNX2t5KF1vXLtuvt/GViIgjPVRYJoE1Hwt/d8bxnP2OCW/iVlEu9r4qnX2N/N6hijsFq1Ldm0bKtYz6hoHUT/eKC6/PBpHAdUKMQuV8VU4ddH0tU+7TEoWmOy9+rzL3RiE17U7PNbc2cJ/5Tt6H/iFC73w48b/K3E1HLlHGEYkW2aedjZnV+GarBMxHDiONtqWWxbdGe1iZgX6kQp5KkzIQ66x8Nl4om6iMv7aIDn5bVaoyd1UP1jv3Nq7OHE9KKtlMSqnyiNzHwTNYsOv9ymHK+Eiu0J0zh/LZyWsmfTQ1Wugnsw/v/TB/BqJvyZVeCFMTeM7qgl9La0SfflUfHvObS6bC2WEDwObt3UG3P+p//etfMXDgQGzcuBGTJk3CmDFjMGLECAQFBX3veg8++GB3d61BgwYNGv4fuv1RX7hwoZJM5Ha7sWnTJmzevLmLtbSPugYNGjT8FOi2+mXixIk/KkN07dq13dnt/xS86pfzVl0F3wAjtu2ka2mqE7c7bXKRMnekiKqR24avAgA8v3KGMpfcTyLoXj06AMQYSBVsaZaqdGvySK/MH8Cqcq/tkzrs12XTBVUrBEYFi+v6xAFW9LN38u//zN6iP441UXu+pb6HMs73aMZt1aQiolKpcLi3t6RKv1FBHXpuFVUlZ6ZLq7Ev8qhume3RMu+so2qgVwhb110TLana17x4kzI3eC41/mVtomQpquR5zsjk72EGoTXUVIalibRCbISca/0m6os7olQlHz1vUa/FpEeKZ1ARFHZUlnX78F1pSeLY7bm88ZOofy7aK1SAO46KmbhIXvPKQ3LNEvurchDszIHoFSbXp6CJaf6VFdR8zxwg11StkpoYR812kKc3X04Tfz8nmpTfU0clD2BQNCmxqWF8Jr2p9Ntb+GwcbOSzrfeUzCwsI71xyzChHp/fyByL5HTScA/0EJXXc6X8/VAxtfuXDdwBALC6SHOpdeT/zJJeDutbqZ5ZVc338Zx4oV2OWvk8frmvvzKOXSs3atbd6046D4A15NdZuP3DFm5rSqzQMvltPOeNh3vD1W5D6Y0P/TqqNHo7F2nQoEGDhl8eWi7/z4hp4QfhH2hATiI12e2+Yg0e28lAJFT68X8dmCiDSAZmvMW7Xtw6UZm7aTQLpA0OkkxJ/wzqj70WBADoPMWxnKqsva92D1DGe5LFMru3P2tSP7R5jjIeFSw6dLUF9ocEUm5/LpICSLdMXKnMPbeVNadvr5OgblQkvYuUF3gsWa+I5ddzIAuWHWqVaxag0i8PCGTw+G+lM2Xd2QxQlbaGKuNzEnLkOComK3MbFzOoGjFDttWqaubte4TZq+Wp8qq4k3lNTSG8J3ZPgLVoFq1zRwCd4JqzZNmQTdymukl1S08JVOcfo9VpTJaAtMnIfIHqHFp9V84Q78TqpFX6WQELahnC5TlqVjXIHtiTnoDJR7brdPHaH23h9lM9WcL7q2hdpwXQUwr2kxMYEsTM3D1tqcr4w91yfS8ZukOZuzCBeQTLqiR4na7KmP2iWjJ6e/VmcLFXMJ9dr4XeO5jrGNL4vry7WbzQSUPphT3VjzX4r1o/HwAwojeDm5UNzEf4r0WK0F3VZ7syF59IL/O8+yTovLGe1v/5MbuUsbcee7CvqkG5ypK3ewL+BpUwIXS3L5ydTvDOdA9a6V0NGjRo+A1B+6hr0KBBw28IpxQonTdvHgAgLi4Ojz322Alzp7RTnQ6vvfbaKa/3vwpvoHTOynnwDTCiup0u+hkxxwAAX5SxkFRGGF3LjYcl2PnZlH8qc0ssoqv18yEVsPgt0grt2ULP3D5olTL3cQXrN3trt/cJ4X5WHWOwyO+gUASD5jDoldfIwI6lTX4fkUi3u1eAquhUuwTm1m9mgMlbDgEAvtiWDQAYOKBImVOXSfAWQ+pUNcMeEiL7UtexLm5nADCnToKK6kCfmnL6xyG5Pmel0y3/aB+viZeSCsghVdHaU9XkucVj/6hqzDubVKnkbXJcLiNfJ52q6JRPpdA6EVlsiFzXyOfA5SkZYD7KbXYOFPrF0chj6t+X13z/MaHJdAbuc2A6nfh9BfL7LcNIzcX4MtD6QoEU4poefwTfBm+Rs3hVZbN/HmXxrs5dEnQdMYu1F7KDuP/KTqE1Ps7NVuayEhjUHRMuAfk0E5+dZ/OFXpkRz2dPXdzL++zWdvLaBRp4nc8OEXrkXyqaraCJZQRu7ikCjUdzZvI89aRHvDX4r85k6YNXVnFb3gbpxhQmfszowWP1lixQP8+WDt6/f/aSQO1dhecpc4ePJf5yjacXLVoEnU6HjIwM5aPunfuhddTdbvfv7qOuQYMGDT8XTumjfuWVV0Kn0yEuLu6kOQ0aNGjQ8Muj2zp1DV3DS78kvvAwfPz9lIp/APBY+qcAgNtzmeY/OY4KjhCDuPtq3e2iDRKhv3YiywmoW4b956CUakiOZNRejRuTxQV9rZzt5mZE04VucYm7uL+Zrc2GhxQp41ePicLg0p6M+r+yeYIyfnuatB97uXqiMqd2oS+M2nnSMW1sIf3z6aoRAABdEjXfKVFyLlmhdN+/+pzVC1+94t8AgEeLz1LmvO3WAOD6QRsAAC9+Q31zZMbJVIjRxOsY5E8FQ71Ffvc7QPWKLYavjitUqDBdM+2krOwiZXy4QvTtumJVW0BVmQGfBrm/7gjO+frJsSSEW9CYU4p9d5xYXynx+QehDwpAZno5XA4nGvaW4egXNbAdLYCjtgF6nRMh8WZgYBaizh0DQ0gAru3N3ARvnfN+kawXfrCWOvym4lAAwCszX1XmrvliARwNDWhetwk+tflor2yCs9kKH70O4SmBCB2bibQLBsLg74ur46W2famdNJm33RsAHFgjCpIHLvpAmWtwynXeZukBl8OF6t0VaNhyHOW7a9Bc1gqnWwffqFBEj05B8sXDYAw1IzGAlFKkSWiRr4uoE7+sF5/Tb6pkvrcqxyHc2IamijbsXpyPliOVqCntgKXRBZ1eh6DEEMRO7IkennN6NGUpAODLlv5ob7Zj4agT23KO/udcRA5KQLiJ1So3rCcN2XeEqG5sTj4nNa2BcFo7cOiip38dOnUNGjT8fDBEh8PUOxUAoPPl69uQU45ddy4DAOgjw+DfvzcSAutRtr8B7Uu3oWn9QaQ9eiXQ+9u2emroLK9Cy5oNMIYHwD8pHAlDQ2BrtqP8QAOqX92GitXHMOpf53Z7PzV7KrH+VklUC4oPQPKYeFQ3m2E7VoqyD3ejZnUusp+9AOij72JLXaM2rxk7385DaJQv4nv4IaB/DDpbOtBwqBq5r2xH+ao8jPn3OSeso/f1wZA58bC5jCjPqYOltPU7tv7zQrPUfwZ4LfXBH90OfYAJdbnMapwwRrL60vzZOejrSlWBphbRsXdYmSn4x8FibX1ZyeDq6CjqbqcFyzZrHfyL/+B+FtdyFIk1pGMcEEsuek4ZP1QsmvTqNtbvOSc5RxnXeFr2JJgYQDvQQqu+wiq/179HTfPwPzJQmt8i51+8hb8vmEtNe5NDrOFqVWugVYfFwro4m1bXAQs13QX1Yg0mq+qBq9FmF0u4sY2WstnIAFvvcLHcNuf2VOYy06iV7hkoVv3a91hETOU8wZokFzMkkVaj9QADdE4/Tw37QHXwlR8jU4N4Mm2p9BSy+0hQ9OzofTi63YK/X3kQ8dMzkXWvZHLm7ZNAqMvgRvvR42jdtA39r+mDkEyxtps7/OBo68Dxx5fBsqsQQX3jcfGbzBdI9JNrFakqtva3zcxcvn203JNWVZH3j4uzYW9ogaPFhpje8nw4PMFLR1sHKp94HyXbazD0yl6IXSBdgo5Ws8vQgr7MbPbizbwRynhGqgRtY40WHN9Wj21LypBy8RBE9ZNAvd2lR2drJ7Y+sArFW6oQNyAC89+hxzk2ULzcTa30/Dpc/OPXx188vUdW8gM9eeQBWOus6GjqQHAPuWdeDX9naye+uHMTqndVIOOS/ohbIJ5erJnXbH91PMqfX4qmtfsQ98B8+PftgfMyWUSttJ1ZvF7NequD+RAFjeGn1VLXJI0aNPwG4J/RE1HzL1c+6F4YAkzoeYeUe2g5XIGWyu5bk77hQfBPiTpp3hBgwpjrpLRDyY7ak34/VfQcGYHLnx2ofNC9MAYaMfUhod4q99fDUvHtreNOBeZIM8LSw06aNwYakbVAkqhqdlec9PuvEaeNfsnPz8eSJUuwf/9+NDQ0wG63f+eyOp0Oq1ev/s7fNWjQcPpgjAiCIcQMR5MV1tp2BMUFdr3Sj4SPQTwOve9Pay8GRvvDP8yE9sYOtNbaEBpv7nqlHwkfg5yLj2/3aZ6fA6flo/7www/j0Ucfhcvl+sHSxt8j4oKa4RtgxPwZTKl/uUCKWpX5hypzPYJJxTS0ysM6sifplQqbWBQlZaRxmm10kdN6ipXU5OSD3qGqHX7DmdI8uNRGemCPjWUKUgMkKPnHhPU8Dic/BJvqhKKoM3GuTyCDbQEGCfaNualAmVu0nnX2Rw0RF3ngLNaU/qQ0Wxn3CpXjTw+gtXfvCOFWP6pkm7CZMdSc/9PT/LjJzEDmzAT+/mGBaNJt+XRtg7Ooj/aWFAgOZ4Ardz/poVy3jP1Gs7TBCWgVd7qpXvXBTGTQ022XD4POzo+dK4a/W81Crxma+eE4tEVaqx2vT0dbyXEABxFg6ERKgNAmJUnyHBhUOuup0dScF7SLhfv1p33haJGgb4M5BjZPcbMzw/YDAG7fwBrp6pT+viYpnfBUMQu7NRSF8pSjJYg/MVXKRjhsDiz9t9RG9x2cicdTRQRwmYW5LD6qlPk380YCAKalsEVekkme/XX1pE/UOu8rEiV939rsQGeL0GcNAXHotAoV9HG+lB6wlpM6/GL2s8r4vFfuBADEjqVYYUNRujJ+JHs5AOD+jy8FALg6O+H4RoLwyWMT0Ow5FnW7vWcHLMHfwyuwCkBGTA2iUwz4QzhpphuO8frOiZdrbnPz0+ujc8Nu6sTJLeZ/HLr9UX/33Xfx8MMPAwDi4+Mxffp0xMfHw2DQYrAaNPwa0LRtE+BywRgTB3NcSNcr/EA4W9tRu+hLrAtsgc1iQ83BOnQ0dSB8TE/EXzAMQNFp29f/x5p3K+F0uJHY24zA+O/v3XAqaG1y4K3HSlFT/B6cba2wlZbAZW1D8oRk9LusHw7/OmKh34tuf3n//W/5KzZ79mwsWbIERlVnFw0aNPyyqM1tQMM68cwip5/VxdKnBldHJ1rW56BFNRcxIQPpf5oCvcn3O9frLooPt+Lz/0rRt/PvTMXJbZ9/PDqsLmz4tB4AveXUKakY+eeRMPgZgP+Bj3q31S/BwcFoa2tDaWkp4uPju17hVwqr1Yr169dj9+7d2LNnD3bv3o2SEnElH3roISxcuPBHb9urflm0dyDMQXpU2BmQWVkjgaWxkceVuQ4XX4gwg9ABfUwM0gT5iCt9xbb5yty1/TcpYy+VUVVIffDbZ76ojP9TJa3zyttotc1PJiUUa7AAACxO1hN/roCp0sEm2f941TG/tn+0MvaWJ1jbQK1w3yDqy73p+08fomb8ukzqpwM8rcKez2WLvz9lrAMAfFFLze+gUKakD/CXe6XW3hesYuu0jkyhCqLD+QmKMvMNLWkKBQD0DOfLvK+Mz3N4sATjmnYyaOforWotFyTbt6/mNbeP4b7aPan+pireW/+BzCM4I1HKG1S0hypzO3eKjjusVwNa9hcj7553kXFWD5zxsLSk+ypXnp2AQFVbPV/Gss4J2oBnLt6NhnIbIs4egbgF02Hr4P7P6c2Wbcoxq8owHG+Rc/WqWwAgJYDH3GQXquu2uK9RU+nE9o02/P1vVsANTHp2GhaMFfXObetIP8QlUp10f68VAE7Usesh9My7ZcxBUKP4uAEVD7wIR60FfS7uh6G3jsTxJtKQgyLLTjg2AJgcRkqqwfNMq9+xV3PGKOPLBwj99M6qsXBaLGg/dgzO1Z/A7QYefj0ZGyNEeXR+NFVYT+VNQ9Gzn6Fh1QHc/GY2eg0PO6GEx7OH+e60NQglGrqf+08+rwD2tk58PePlX4dOXafTITg4+H/6gw4AO3bswMyZM7teUIOG/wE4rR148c59aCi3IXhMX8TOm/aT7Uun0yEm3oDZFwViV+QYfH3NZ9j66EbM/zLptMbPHNZOVP1tMRy1FiRPTsOQm0d0vdKPhE6ngyEsDEEjRuDmi3bhjvML8Nxd5Rj8qvtXHxPs9ke9T58+yMnJQUdHB0wmU9cr/IoRFhaGwYMHK//ddtttqKqq6nrFH4gPqofDt9WoZKUBQEGQWENqzXlZNS15b4GhkekMlF4cLdZEbDiDdkPNDEq+axcttSGcGZGbrMw6CfAUQFIX9FrTSG18VbtwlI3tDLS2d9KyuD1d3Pk/b75AmTMFMnDk7Zhj1nNu8SE2981OFmtqlqoQktdjAYC7kqWOe0sj93+wTXTwWcH0WKJ9ef5e7yclkJbkwWR27LkpW4K+jaomyerG2/HBsq1qq6pQVAAtYIdLrFVnBgOpPgXcVkOCWLg+Saos0yYG+EyVcv064mnBuY7wPi9rlnr2uiquM22CaJ03lKajwy6vanl1OL5aL8HisydKZu76Cmrrawsi4LbbUf2fV9GR14reYyJw24uhMBgli3hRCRtPf3hAtuPNXAUAfz/es8gAOdf701Yoc/fkshBVwz55djfNLlLmjpmHwxC3DZbjNbjrm8thjA1HTIJF+T0piOM1zXLPRwexCFsfowQw94Xx3u2qSYar04FjDyxFZ2EF4kYk4PwnB0Hvuf+5DdTBt9jl+t0cy2J2l25boIzjPB2sZsUzg3p23/3K2OtFxvTlu/FK+xXwjf8PCnNrcbd9PWKTTXjsGA3AP/bYhEWBNdgGIMm3HhkmGw53sGeC1zoHgMEZ4r2MGql6X1+cBmenqrh+N9Ft3dGCBQtgt9vx4Ycfdr3wrxjjxo1DQ0MDVq1ahaeeegoXX3zx//wfKQ2/P7idTtS+/g468vKRMigUVz0/EAbjz5uOog+Sj5izufv6cQBwO13If2IpWvaXIKp/NCY8Ofknl0z+f+iD5ZyaGxxdLPnLo9tX5pprrsHs2bNx8803Y8OGDafjmH4R6PX/GxpUDRq+C273/7V33eFRVGv/ty1bk2x6hTRCgAAJLZQgRToioKIXRMDGZ8EuYOMqVtQLeK3XAoIgXgSuYKH33knoLaT3uimbbJ/vj7M778QkJEAIbX7Pk4fDmXNmzpyZfeftL4eSn39FzcnTUIQG44n/dIGbpmW90BzVJpjT8wCJBAp//TWfj+M4pM3/C4YDF6GJDMDA+UMhV18/I2x9sFebYUrNAySAf+jN7whyzU/8vffeQ1xcHHbv3o2BAwciMTERPXv2hLv75d2M3n777Wu99C2H10PXQecuxb5q8ov94zQTu/u1JaOjj4o4nAedpbL2V5CI/eLWiQCAqX3Ij3zG2XF8e3wkKxnm8mcHahemXmtgJc/ykyj6cMbo3/n2Ho4Z6Cx2+tC91XYd3z5jYvaT9uFk/HwgkNIAbCplqqSxvtTX05PETZd6ZkspqVzKLaR22GNkapGZvaic3uGKcABAgvslvu+btAF8u6CYGZe4UpKuXDnSASDfogcA6AQ15IJ1tCcRztJtFyvJEJp9gcR6OMP7Pb3JuFoVTjyR7hgzzNV0o2cnKaR7sniz+RIb6WNtGoGPgjOfukKQxOxkKdtnD7UZcKY0UOtNCOrIVBRrL7J9ntCePe+NH5+A8XAqFP7+CHn8KawosAMFgJeWztlOT2qFedErkZtlxf13MX/0GcnjsCuf3rPWOmbU/DKHUgtMi9qBnSsK0L6XJzKHMJVdppnFO1QVVsO2cDG4GjNC+4biu4HM53uXs8jzmreSsOqPLHiOGAKvkcPQth8zzs86TqUStU71j83O9jb3h40o2XYaimA/+L32BNz1OQBsaKsmtehJLdnzwjUlMOQY0atXOgDg32cH8UXLAcBXwZ7fMQPFZZzID0L5lqNQd4zA8RimNqnaxJLBWSsN0F38Nxw1FnQb6IFOgcz47aWmPT1cGYESaw6AApw1hcBc7QOFIAdH31hSL2mdKslvjlACPHlfIxzVJuA7NAuumajPnj2bNxxwHIc9e/Zg7969jcy6M4m6CBHXC+e35+HwL+zDKffUo2TtnzDsYfr7QjmpDPynRkMfTl5PLt83VyRoU7Dvj2IsmpUK78hU6MM9IJcDlQXVKDxbBrvFAX2kHn3e7AMgudY8l6OdpIlSccWB8yj5k9mP5D6eKFm2Hrv+YB/iM27kWSS7Lxy6MAqku5p7qth1AgX/+QOFYT7QtPKGtUgLa6UBNQXZ4Ow2tIpW4ZkPWwFoIPjsJsI1E/V+/frd9NbglobZbIbZTEa2igr2Ikw5+DikGhXua0+uZP9MYEYooStZUhVFMn5xibn1/SuGbBbanuzc7VVUeNlfS9x/qIIZC4XcgkwQyfeAswhzgT+5Tl0yEVeaWsFczDSCqLl0C7mNudzBHgykIsLC1MDJqxkH/sTTpI7bV0mFeh/0Yj9Uo5646j2HyFBb7MvcE/eU0D09G8oMfZ+kUnRjXga5wrWPYcZXfSRVJtp/juaXWJhOdE0auUQOiCTpaM151l/rVdYIMp45K96UF5EEKlMTsfQdxp5FVrLACyxQEFFaw35qukv0kzNG0Hytnq1br6H15+QxSUvraUK1he2vg5PA6pSg7o5kHODSA31QlXQEAIu2rLl4AQ0hc2QMjP6MqK8u74YLR3IA5CByRBsUmD1QaaJnEqoyAAAuGOjdyLXq0fPRaOhCC5B/ogQFR3NhMjqg1skQHa9FUfAgePTqjSNn5MiUMZdSo5mt/eLJA4BMCp972sItsBLxWmY03OtJBcyHBLLo0hyzHucUmXDVeao5yZ6Vi+cl3hcYOawIQRq2JzUON2SdY9JI+IhoHCqPQIInORl8fZpxyL1bpfN9Y6JO4tJTIbi4DUhLrkD58UzYqi1w07khIM4HtpA+cEvojY93ytG5H7tyhSDK1derCkoZe5YZNd4wVQWhlZpcNw1mcq/MsLBn+m7vP/i+d3bcB0dN8+VVvGaivmPHjmZYxu2FOXPm8FG2IkS0BHR9ukPXpzvi2lO5O70b+0DsTqGPm09oQa15mYeLIJVL0fnx+CZfq11/f7Tr788zD0LM/uOuemYAtopqmDIKoR/UBW6BdRNn1Xud0VFoNzoKG3ZRagi7Uw0WGUnqlyBBWg0AyDpcCKlcio6PdUFTEdUvCFH9gnCynH2UQzSUbXPnlrgmn+dmwC2bpdFVRu9q/zZs2ND4Ra4Sb7zxBsrLy/m/rKysxieJENEEVJ3OQuq8v5A67y9YqxtOmtdUZBwuQtSo6GYNta8PxlMZkMhk8H2wX+ODrxFZh4sQOartdb8nu8mKlLlrsfafR5CdVNz4hBaCmKDlOkCpVNbrDimROiCROnDSQOUAq2wusZq+rxEaSmRV48WOr62Ip+NOX1phxOf4IKomtKWMGdD6eJJ6ocBKetRfMxjnMzniIN+XXEl+wZ28mS94Gw0Z1YSqHJNT/bK2uDPfN9CbkjI9OYUl39pQTsezqwVRtHKm6jheTjnYH+5PdhiFlF1LJSP1xM8FzmpLreg+0/1IJfT7JXbOIE/SeSa2p/vPrGLXj/Anrm7reUoapXBWPPLxID/0/jE0/9eTLP0qZyA1kzyLvDAqPJg4Lgun+fYSEtElKnZPyjKB+qU9qcRC9QYAwMUcUnXofdi5DEU6mJwJ2cx5Bpjz2NhdD4+EzEML7xDiKpMvkOpuxaD/AAB2HqfIXmFB5DyTJ0YuG4dCkw6FTvuxQk7PeVVKPADg/ihSFwoN7rvL2f5dqiQ1WEIivQczghnjtMKQAIQBmDAWv1/y4nXefxQzTjpIS+dc8j8WfanrQUQyKJaki8fCWKKsFBNVtTpuIJ/wSa334d7N/kg2hQBgaheharCVM99+Dw9SyRwsJ/WPq9j29kukLpx53xq+7ee8/1dOPwxHdQ2KN5+CkJyHqg0I18ox1J2MsxP09Dv7NI+pD79No4+b5yk57ObmI8W3LFGfMGECRo26+lwWnp7Nl9hIhIjrDVW7KIQt+hgQEGWZh/kyM0Rcb0g1aoR9/ynm3/0L33eixvcyM1oG10zUH3/88cYH/Q0SiQQLFy68pus2xA2LECFCxJ2Ma07oJZVKIZFIGsyj/nfPGI5juRPsdnu9428mhIeHIyMjo9kSeiX+/hzkWiXuc3qfAIBKwvSi+8rJP/hQDonQ3YOZPt4iKMmVYmDi7uyYP/m+FUWUAKnYzNQyHgri5EoFFnhXLuhLpSQ2v95+I99emMUSHF3KIlXAwPZUDLu9lhmp7IJi0peqaeyWI8wP/sX+VKKup4ZUGV/nMxE7zj2b71t8gfJ4DAtnInyljdQXec4SeUID1sWKulyRr8DHv9pG6pFCIwv/rxJ4d/i4k6rE5vQoKSwlPaxKTd4/Fgvbf19PmpOfr6cLm9h8T4EqpKKcwsP9NrHrFg8jP3lHGa3FrZyp3xSxND/Qmbogs5jc9bQaeqbtfZha4kAKJS5TakjPHuhURUUIDInbz5HKaWA79kwP5ZLPdltfUv2FO333C820J9MCqbiNwulRtbaCDImr00nlZnKmlnglluZ8fnYg3w5zqkIG+ZHK5q9cpkab3Ipy7b+3bSzfDoli6xOqkZ6OIC+rJdksR7u3kryITmyhdBBdh7LkXl08yM5VaCUvMIMzEViUQPXYXU2qmu/zBgAAkrJJ5SMVxENYc9kzX3wvOZ1PWfd/fPvdIb8BAFbkUVlEg1kNm9GMQ/d9fnMk9Jo8efJlXRrLy8tx5MgRZGdnw8fH55pUJiJEiBAh4vK4ZqK+ePHiRsdwHIfFixfjmWeegaenJ/79739f62WvC8rKympJEA4H40Sqq6tRXEzmEJVKBZ3uykuCtdMXwk2nwLEK4oz8lCzCLd6dOAdlKzIQFpgYl5ToTZGULg50bxVxIB3cKdHV0jzGtVcbiDv3CyAOMM6Lje3iSdcUGlI93Bg3GBdJnHRhDXFrLm6vdzRFie6/QMYmvzDm6hagoGt+nktZAj0VjIsSFhx+tC0Zk1zVcb45S1F3rf3ZOfUK4sQzC0nSmNKRcXZ/ZnXk+2TSutIjJ+DwaqzEyYd7Mq5RLfDNL9hKhlyvvoxDLD1CEonfJTp/YR9nxKiAv3H3IG6xON7JlQuO+0cRB12YwbhxjcBQ6eJGhUJwtBe9hxnz2XOQdSMj+1Ojt/PtTUXM91/47Ia2pzS0/L0JIk4v/EkSY0Y/Zlx2SQQA8Nzph/n29LYssdvRMpIsQz3omeud3PKmEkpW91x7ioLupkoHALyXQUXRQ3Rs/repZEh0K6YYjsDOLOgot4q42YOV9O49GsoMqWlmek4+91AUcIyG3UupjZwM+rvTnhTY2O9AmPpXFUS/R4fzAXYKoWjqABUZevcq2Fq+zR/A97m4cwDYUMLeT4uD7mlk8GmYqqygmlPXhhZxaZRIJHjssccwZ84cfPnll/jtt98an3QD0KVLF/j5+fF/LlfEf/3rX7X6n3vuuRu8UhEiRIioHy3q/fLkk09ixowZ+PLLL3H//fe35KVvWmQdLsSKqTtq9U3a/BBUeqZPdtjsKD6WgzVHziD1cClKs6thd2yGJtADBQN80euxGGi8m8dgXJpTg90/Z+JU8ikYcytgKTdBIpNAG6pHYP82CB8X32zJlC78mYLsbUdhSi+AzVCFN01maLzcEBavR78prRHRtWkBKo3BXFCOsgMXUXboEqpTC2GrqIFMo4IyKhiBo+Oh79W2zhxrlQl7x3xTq6/txw/Do3NYnbEiRNxsaFGi7u7uDg8PDyQnJ7fkZZuM9PT063p+i0MGOOTYm06GrfFqJi66BXlB2575ig/wuwSVlolnP+73xoFXmb+vNkiHwF6toUU1Mo8bcHhJGU6uzcbgb+5B+xgSJ0dGMHHSLlA1CP3M47UsDN9dSuqB8+Yg5Fw0YudPmZB56aAM8UNcjxrUVFiRftyACwsOIGtzCmLnTYRUztQjbQSFoQf1IhH2oyMjAACnq8mYlGogY1+oRzmO/3oRVZeK4R/tAY82npC6yVGaXolTmwtweksBnn0vCLH9ieDGejJxd3MOGfqEhsz9pWxPO/qSWBzvnoXP3zyCjGPlkLrJoO8QAI1PEIy5FShLTkFqcgq6TGyL/tO7YEMaU1V0DsyDTWJF+Mi2KK3WoOZcJqz5pSgv08Jc6An4kShe3o6MnrJMtv8VgsLXcjfac7dy9ixkBXTcawQZ4woUegBA1SnaJ0VnNv/etpT7O1ZDqSE2v8z0MpVF5LP97/2UfEvjxZ5vsJ5UInIprWmUVzIAIK2KKlB5jiSjYE4lU0VU28jPu6s/qeROVLP3tZc3zam0k3G7t44Zx1cUUS7989WURK7YytRC9wUm8X3/y2cxFFF6UjP1GkeKCVc8xT3hlANdmGLD4VQ+/LiX1DeySlJIdBz1F4Dav4dTJlKz7XOmpujsRepMbzmpb7rr0wFQ9TF2TxR38lRbVsFrdV483yfck/QK9nwDtZS7JsvkBYuJ3uVrRYsS9dLSUhgMBmg0msYH32HQtm+FVi+PBgCotOQ1IpFKEDYoAu0f7gTfWJZBsJ0uH6ZKKxa+fAZ5B7Jx4INdaL/02iP1QmM98OrvfbDOwX7kU9qxEnmmKhs+mpqOiuQM5Px3H1QPjL3ma3V+pR/6xNVAqWWvoNWpY7ywIw+/vXIAP3yQjwFxNXDTqy93mkahD1DigVltYew7AHKNG9xk7Mecty8DB99Yj6RlFxCeGAQEUu4ZuUqBhFkDkZwXjPwvV8OaXzccXoSImxUtmibg9ddfBwDExMQ0MlKEC4Hdg3HXh3fzBN0FlbsCPd9ieTaKTxaiPNdY3/QrgoefEoHRdQ3AKp0coZP6AgDKj2de83UAwDs2gCfoQrQdEIROPbWwmDmUnrr2qlNT5nfCXRNbQa6pnQc7qE8YOoxh3P35DRn1TRUh4pbENXPqS5Ysuexxk8mErKwsrF69GmfPnuWNpnciOumyodbJ0akzibCKZOZ1keCVhjc6/goAkILCx6tsTF8u9Lk+uJn5eScOOwGVlwqmMhMCKjMQrWHi7DFjOABgdTIlNJrYlbxLdpUztYZUQm4VXnLygPigE8ut/nUm+RQPCt6LMwB8NSbYjWwtQhG20k4cdc/I9Dr3XpRBaoUpA5inilBsNQv88C9UBwO4iES/dHR0eu0EyNm/E2LpPt7LJq8JgzNr3vZkytGeHa3n24VV7GPVM5A+SrmaTgBSkZqqQLyWqSpO5AvWVKmE3cr4HnWaAjqbGzyHk3qnYh2NLe/gTDOgp30sryCJ1OLHnqkqiD6+wnKB0momqSjbkaqkKJ3tWbKSfNNTBPneL25hnhZWT3qOkfGknon3Zu0/tpAnxyU/UtXYYtk1B/hRzsM1mYLUDyHCXIgMwndqXBeWL18pKLKcUUMeSa7Mnvf4kKrk7WP0zB7pwFI+aKSketA5Sy0O8aZSh1sFpRY76Nj+C7OKtlaSF9EXKeydHdkjme8b7Hmab7ve2Y1F5JFzMpXUL9FhjJH4czf5kccMI+ZCJWHPeVUOJRnLKdXz7fRA9sw6eJLH0O/55Mdvd5ZFjNaR6u2vtFjYq5svOviaifqjjz7apNS7ruCkyZMni94jzQRzpRnmCvYy6H2vXzUYu8mKrd8zvWm7/r4418j4a0HOoTzUnEqFVKtGZPz1TchkK2JqFZnn9b2OCBEtiWsm6q1bt74sUZfL5fDy8kJcXBwmTJiAu++++1ovecvCxslh5eS1IjFzrH4ACnC0IgyvX7gHABDpSZyHK+qzqpKMLd3uZvmyTy+5AM7OQR/lhYPqXnBlFhrlmwwAGD+QuNp0K0VfGh2M+8+2EPcs5JRfXD8GZcv/Qge/5agqtSLzRDmMBis0sR1xIegRftzKVOLaHowkY1ei3pn7uoa4wll3U2WlDw6w+4yLzEbm2rMoSc5FoLQYhZkmZJyqgspdjvFzY3ECMXxNgp1pzH96ZBviup4OIp/sGWdY5Sc3LzJgCaMK7wtie7I0g/nG26pMsBxcAQDoNdoDEqdvfmEZEfh7O53AFq8ynAMgi6+ArHMpsjJoH6Vd6VpeXoxDL7tEXjvqAtJu1gQwTl2YMKvEQKout2DGwRsFxao1QcxA115PXN/aY8T1KTux44+3p+fsSrYGABeq2P537k0xDj5KkhSOFDKjozZYEHlcTmu6oGXccBt3MojPv2s53z5Rw/zTzxlJYrnf5wjf/i5nAADgXn9KCDZWUIXIVYXq0/MUw/BkFEvstjiLCmQPCyQj/KLTLGL0w670Pi0vIEnk3lbMqDxQR3N+K+vGtw1WJh250hIDwPgulCRuqAdb33YfkvjSTfTMz1YwQ++oYLqPwxpyfNDI2V728yTWZ7Ce3tn1ZSxitsBMfvYh+nLYFGY0nAX/ynDNRP16e4yIqB9lF4pxenEyACB+WsLlB18hOLMFxr1HcVjQp42Lg+/Y+yFVKOBA86V4KD2Zh6wN5+AKg9Lq5RgzuxPa9vXDpeapW1wv0r7YCFOZCX6d/BA2sDUyr90kIULETYFbNkvjnQxTaTX2v7kRdrMdMeM7IrhPK9gcjc9rKuTeeoT9+Ale6LkZhnwzLuwrwapPU5E9by4Cn3gSMn1Q4ydpIuJfvxvxr9+NIdpjKEirwYYF2fjlpST0GNcKnV+7PlJdzq8HULLzHJSeSgx47y6xcpeI2wrXTNQzMzMhk8kQEhLS+GAAubm5sNlsaN26deODbzPoZDVQy+QospGIr5cxFrGHRzpmxTB1wIcZlB/HZVgZF8vUGxajFWv+bwuq84zoOtwXT77tBan0AlblkeHGhfG7KZFQgB+FMlfsZmL1rEdJlE420vOIi2bGRDMUUAcqEHe/Dv06VeH5BzKh3Pg13psWB4lEgu8zqMrNz+fIF/njLixieEl6L77v94J4vj21O/PlLROEan9+YSRrPAaos5fj8KrTSOi/Hz2GMfXTvd2SAQBfCYy3+wvu49vDWzFxe00KGfoOXiSxONWPqZoKt55B1qKdkKoUGPdlHwRHSAEYsSWL5Rx3EyTE+nN/VxQXXQCQhgBdFXw9y1CequePQ0USS0UKU7sIbM8w+dF/JD5MLK80kHFUdaluZfr+95BPeqmZjd20hdQH/fqTKJ9SztQCyy6SUe/dTpTkzZUP3XaORP2Rw8nn22XIjYoko50wJUGmgd3TEyG7+b5Xtkzk2xN7sxgLXzfy415ZTO9BZ09mqP01l9ZXUk3PPM6PHb8/jNQzK3LYvb4asZnv+zmfVDGtfJljwVkTlQ0c5EOqlu2l7DnmC9Qb7bVk3N5Tw/Kk+yhpzecrSU2YZmR7emIdeeh98fj3fNsV4/FnManBngyk1AcbK9j7lyEo/5giSHaXV8N8/8sF5fByyzxhryZV3rXiml0aw8PDkZDQdPE/MTERkZGRjQ8UUQc2sx2/vbgPGaeN6NjXE49/2g5Sactwme3iVGgV6YbUcxYUZV3fPN7aHuwDlbSlef3DDQcvIvPff0IikyH8zXEI7uzT+CQRIm4xNIuf+pVm773GbL93JBw2B/587QCyjhShTVd3PP9VDORuLVuN0NOLucBVlNoaGXltkOkYN1fZjNepPJmJS3PWAByH1jPGwr1rVKNzRIi4FdHiOnWTyQS5/M5U5S/J6AW5Vom8Aj3f95DTRLgrvy0e3vEQAODzu/7LHy8J1IHjOHw7IxUpO/IR0l6Hp77tDJtKgX+fJJ3zS5228e01RYzTfbU7ibD/zSKxeMHULwEAx2rC+b4tgvD7AB0LYfaUkYfAu6cG4/SpBYAE+CH/fsj26fBo13388eMq8vV1eddEewnK8lnIK2NfCZPUTqeSyq5LNPmPZ5v2ogBAhj0W7/3OcgR17cN8pkO1BprjRf7+a39iOeAHPHyM71NK2Ueh8GwpVr23A5zVhtAXRsOjdwc4HMBv50mEltSX0VFlB5y5si/l+yI3PQTyQNoTaxWpT2QmJjH16E+qgKM5VCLQlu1UO6jI+FEjyMYp1zG1T241qQ2CNUxl5tGRvKHOl5EoX1jARPnAQAPf98ZRUknFBDK1SlZHUhMJQ+pfiGfvjNBnu2dEOt925fA/aiQ11rN3UW70r/czVdgTPffwfa5c+wCQY9YDqF2WMEJP0pcrH7swm+foYObT/k3WAL7vzbB1fHvKblaUp6OeruMqQQcAFmde/E0XyLc9J1TPt7MqWLtARV4+VWbKnfRaW1ZXwOc+Us+U2mnsrLX/AAAEx9L151vIe0fuvKc+weTLsrOY0l2092DzlJ60J5tt7WCTNp/026KsXm5uLoqKiuDjI4q9V4L/fpiGI3/mwz9Sg2cWdIHGo3GfdGNeBZ5vvx3Pt9/e6FgXijcmwZxXVqffUGDG6Q/Xw15tgU/PCMg8akedrnkrCWv6foOzC5uWPLQqvRR52y6Cs9XmxDmOQ/aWi0j+6QwgAXTdu9c6bsyrwOKExVicsLjJ91SWXoHfn9sJm9GCuBf7wmvQrVUZXoSIK8UVs8y7du3Cjh07avVVVVXhvffea3AOx3EwGAxYt24dOI5Dz549Gxx7O6Oo1B1SkwoegqjD/52KB3AKvQJT8Uq/pQCALAt99P757wgULWW+uyZPf3z2jgESJ2dic/yPH/dhn2FQBDIu7vH+O1FabsRGADK5BO4yEwYEUHTgHiPjyoX+8u19CrBl9zFkfbEOFW1UCI5UYZlCgpI8C1JPVcNq4eAb5YEH3++A8zLmNz1Ix4x2B2RlOA7AYNUhtcwbb6ePAQBMiaPqNVWCTJLuRRlY9u4eaNw3I6KjFp6+CmxM8Ye1oAC20lJAKkHUMwPA9fYHwAxIhy+Gw1ro5FhlUmw/2w5Tu5EBL/4htpYNB+L5PnW+FGk/zIO5zAyphxaXjhnRJ+tz/niZs3B3QKQGpcMfYM9I4KcNTgIXE+jtaYSHXwXsDtqzIiN9XDknR7//OHFlbiWCRFPORGAqH+L0XUWQASDlFJN0/COIQ9yXwThklZKMt8JfbOtQFpiQlU/xBlwVrancmxnjXMZ2ACi3UuTvT6nMkG0QVGgSSizdWzMpctkx+r2+2JM49SFxLOpz0XbKe//k3cRErE9lvt6JrSnvvoecDIKuJGp5fiSdnDzHDPYegZTw6vHfnubbzw5n0ud3GygJWWAn8uNv7c721GGlvW+lpX0e4c8M0fOSBPN9SFJ49xSLoaguoPegPJ72LKA9k37Ucnomb7Zey7dd8SC/FtKeua4JUOHqxTmJfF+MVyEsCguOonlwxUR9+/btePfdd2u5gRmNRrz77ruNzuU4DiqVCm+88caVXvaOhaOaiEBFUnqD45Qde/NEHQAKLrCXp8/YphfCbf9IZ+hCPWA5m4nTBythMtqhcZchOl6LoIFt0PmBCMjdZMDf7JcpZy2ATAp9/9j6T/w3+EZ5oN+z7VGSlIO8NBMuHK2EjauATO8JXc8ExDwaDfe2AcgsrD3PmsW8GLSJdT19GoLdxD6gjgojqnYlYVOto2yPonroETC8yacUIeKmxhUT9fDwcPTvT1/mnTt3QqFQoHfv3g3OkUql8PDwQMeOHTFlyhS0adOmwbEiakPXuwd0vXvw1YQAquhjNJNOtzKrdl3DtEMlkCkkGP1sKJqKkMTWCElsjdE+yQCoAhEAHK6q32OpvMyO1PMWeA+JhzKwaTnQtd5K9H2qHWI15No5669/8G33tjn1TYPpbCogk0E/uun+622e/ycAwNyBfRwX9P6JP3bSRDrvFVkQcYvg4yE7IO2hhGc/lpl039BPEfPOffBJjL7BK7s5cMVEfcqUKZgyZQr/f6lUCm9vb2zf3nTd7Z0KRYoaMpUKAf0FxX2DLiAVwM6dMhz8BxPz+r7fjs8q+PbdawCQPzsAnKphxChNkDxpahz5yubbPLHwSB66jQ2BIyAABVagyEIE1BU+LvTVHetLBsYfc1hGRo1AxAxWkYj6QDDzmf8o8x7k70wB5JnQjhqMqiq2/oc71U3UVFhN4uwvyUz0DIimnNlPDyWjbhd1OgBg2n7ys3/5gT/x0YfHETY2DIMHZQDI4A1xALDnEBPlB/em8G25IOFYP09muDpYTV4v1XZSCVmdBjZrvgYOiwUlv/4GiR0wOyOmK01K2I1qhHoZ+DllRSQFuaLzhYWnzX6kCvHexPa/NJ5UHfmClAHFK5ehalcS3J9OQPvJLP2CIkmLygsnkfK/Rei67k0AQEcfMtB5u7F3oou3wGC8hQziroRtHfxIPSE03s7syOSWtcXk2y8s6NxLz9QmKQH0ngkNrWUWdi+6MIqB8JSRarF9ALtugJJUKZ019PUMdCYv+24vxR78624WO+Evozm/hZKffoCiHFIJB9/QMoR1Y8b1gZvGQOkhh9wtE2uOMilOaiKV0wg9JRT78CJTr/h705pjvWhPz0mZtLt/6ufwGNEHniMSEamh9/RwFlMP5RpoT37UUrzG9mNMWtUG0m/rYEo43/b2Yf2ylaQyK3yo+OZK6LVo0SKo1deW81oEYCsuQVUx0xk7LHHANaac/2xdO6SYAxsfeI0I7N8Ggf2fw4Xc5qlUdDm8+UdCrex81wuczQ7joSOND2xmSBRynFuWjKixHeDm0TzVrADAYbVDqpA1PrCFwHEcHM2XaQJaX5H+CHHNRF3ItYu4ckQm+OCj0yPwwyaqWOOmT7vMDBHXGzKNGuFfzoXURFyrPLLqMjOaB+pOUZCVFODs0iTETevV4LiMbelI/v4YqrIroPFVIW58W3Sd1I6Oz/kA7j16onJTJkr2pSC0fzj8ugTj+Bf74P/8OBT+tBG24gp8M9ADT3wSjYx153B24RFYjWa0GhaDTs8nQiJrumNc9dks5H63DubsYnzaVoNhT4dhwfOn0P9HP3hG+yHzcBH+++QujPs6Eb9+cwpZF2rw+qIYmHzUWPfpOWQd2Q3OYoEi0B8nlCp0TiRVYlmxDX+8sgtZhwqg9VHB9ErdFBVfdF2Oe+b1RdRApmq0lRpgWP4Xas5dgEQiwQe/yzH1n8EICGXS76W5f8FuNMM9NgR5vx1Gkt2KqCER6P0qk3JOvLIctmIDSpeuQ+nSdfgAwKwTY5u8HzcazeYwnp2djfnz52Pjxo3IyMiAyWSCTeCyVlZWhv/85z+QSCSYMWPGHemrPusfv0LjLsO+StL9uVQUbq2JaJw8SyH7Z3IZt/2v7qv4viqn2qCXB3kVXLQQV/5HUTyA2uHT3dzT+fbnZ5m4268VXXNeCvnavt92DQDg4/QRfN8LwVv49uIipj4xmIhDer87Zc17cz/zlZ7Vk7wCZkf/wbffsDHf85ltNvB9/zw1hm8f9gsHAJgD6P353OmTL5ORnn90FKlahvVJBgBU2ij8uoOOxGaXf3FvQdk9g5nWX3iJidOPDtjF9/2UTITV5vSmEHqSSC2CcoFObYFtD4nVHgNIzVbYhYleKj9ST9jsdC7OJgXnkEE19h5c+OZXGBOGQx7kgLmIqVBKS5j6KjWnCnve2o62jyUgYXAkSk/mY9+83ciXBcF/aCcEd81DtpsdFXu2YcDTbdH2pf74/VhXpKWkwVpjB7dtB4Z/0gdWoxWbpu/CK4+UwNMPiP94DGpyy3HinbXo3EOFDsNDUepM49DBm9Q35Tbas/RyL9irzcif8wM69vPF4C+640SaGivnMj+O3EoPlBm80N35ju/5/AQcY8YjYIo3fipXQ1lcgJp27njj5QLI3aQ4+HsBPpyajqivnoMqgBH29Pd+gaexAi8ujoNMIcWfH51BZYkF0kte4HZRzdhCkztkRh9IqjgUzV+AXndxGPpeW8hkEnz7byNemVSAoUvH4dU2m/C1Ry727KuC0keDznMfQj/rXnz90kX0jLPgrtHx6P5VHL64txIePXvDvWdPvD1yFbw06QCAqjbst1dsJnWi0KPntxFfAADmZN/D9x0qIntUQgAryNL7TYor2WGIgaXKAspzem1oFj/1zZs3o1OnTvj8889x9uxZVFdX14ka9fLywpo1azBr1iysW7eugTOJEHFnQ9s9Fm5hQTD8b0u9x1N/TYZv11C0ndID7q31CLunHQJHd0XOytoxAvourdFzSjS8Wumg8HPq/u129HqtF3xifBDYNRCaHp1gvpCO2BmDoQv3gV+fSIT18EXG4aJ6rlw/SrefhkQiwT/eb4fANjqEJYYgflKHescOeq4t1B2joQjwgUyngToiEN7DuyG4rQ7+4Rrc+2IE3AK8UHn4PADAnFOCqqMpmPBeDCLiPdE61h0vfBwCi6nhiHTjsWRwHIfHP4xCqxgtgtto0OOtAaguqELRMao7KndXoc3zg6Bp7YMuA70QP0CPM/uZjl/t6QaJVAqpSgm5hwe8/BqPC7mZcM3sclZWFsaNG4fKykqMHj0akydPxtSpU2EwGOqMffzxx3HkyBGsXbsWo0ePvtZL33KQwQEZJJAJsj6l1rBKNqZi4oC6dST1i0rGjJXvnaMkX66KNJ1UZHQyOARVdpxGP2GR32F64mrdFM7qL2fpx/dCNzJ0z89iXHuEO3ncTN72JN++vyszqvqqyXi7KLsPra8d+1Ea7LSmD7YQJ/6vYSxidnUxGcDuCadEVZuymSohIoI4RJOz8lNFDemahZWX9ueFAwDe60AJrS6aKVFTbFe2p0l5FMU6KoKuecaZefLnM2RoVAqSe1lM7KeSfoH2tPcg4vr3X2AGWFUaeSRV7KcqRR7dma90hBftaVoZcfVypQ12mx0Oiwye949E4dwf4DG0Px+BqvNg3OCltHJ49mqLnEpPeKqYR0+HnlpsW12GGI88mKHEMYkDIR098VcmM9pJ3K2Ayg6JUoGjhb0Bp6vo2I5/Yne2BC/EUGTwMzofVBZYcKg0DHHO4svHCyl51iErSZHhPqUoLsiHPbgVvjnN/L4ndjqMtvEa7AQwKPgCgsILEGi8hB8BPNIzFzJQvEQbSSY2f5OClzYZYTNUAnYHOKsV8vJivNxuK5KyS5Aql6BvFzOkUiZ1GcK9ofGQIbZjBrqNZnEQ894GtAoL9G41MBfkwFZcgqfiaZ9t3BE4LDZcPA+sS+yMbHM51K0BK+cG2IACmyfcfHTIu1jJS8Ee6hr073AaA0dV1IqoXbObvR9j76LE1NtzSPJ2GZKPpNE+KQU5/tOqmES4eTvVImizrBw2+01kKJ03bx4qKyvx0EMPYflyZrmeNm1avWOHDRsGADh8+HC9x0WIEAGoYiKhim2Lsv9tgC6xe+MT6oFcrUCdzDmyvxlLJSw47e99cFyf3ExqtRSgsAusnXseF/cXQ//g/VAE+kCiUMDwzRI4rFefR5ozW+AWFoKnvyJCuz6LMS9yDw1cXzSJ/G9KCgnANWP66huJa1a/bNy4ERKJBO+//36jYyMiIqBUKpGWJhoCRYi4HPTjhqMm+SzMl2oXxVa18oXxTHatvoLjhfBo7QHpFRg3mwvaVl6wZOWDs9InJPdU3VQT9SEjqQzdxoRA2yMWbq0CIdPrYCogV8OgSDXsNg6XTtGXIC+1BtUVDbvOuLUOga2gGFpvN/i01sKntRbKIG8og7wh06oanPd3yBQSOK7Tx+16o1nyqavVakRHN83xX6fToby8vPGBtyHWlsbBzeKG/VnhfF+I0+/5ubtIh+ouJXEtqYqJcW/EkFHRFWr8zGfP833PPrOGb08IYvrVHzL78n3CItOupEopAkOdt5yMpk+HMp/38ybyNIjoSUZHV8m0UhOpV16KpPWvKWa+wscryCd6+t1kR/k5jwWqndlNPuOqWAPfNhqZCGwyky5zSLhTpSMIcz9USoayzn4s2lQhIeLy/Wm6f72OEYbqCpq/K5+C4AJ82Z6WVFC+b2HpOQ9v9kwMSpp/MC2cb4cGM3fUbI78lxV5pIqpStEDAE4oPPk+iZW4ZDe5HXaZHWo9u45a74WqLl1RuZmliKgsYevq9Egsdv3fSlT/thm2XvGoOpuD9F/PI/jpkTiYG4bnYnZgg9SKKHUhLjhP7+dTCYnOBIOEg9SdYgc2HeqGiuJTePsMFYP2UPwCs9yCaI8irDreBWUrNqCbYhNenseepTC51Yq87ggd0hYpC/fD/MtyhD/cA3+ul+Dij8x/fFdBG2i0AQgtrwawFctKeyPUiwg+F+iPgxsM6BB3ChIJkPLjfshhQ5SuCGnmrkAIEJWYgw9eM6DnzA6QyKXYP+8wpEo5jueEIi3ZFVm8AkM8T+Mu/3QcH/sAjFvV+O8Lh3H3tBh4BKjRrWQLzm7JQ+JjbfBnej8UVh1HlCYD/xfB0kz8L78rsmsKUGG180bPSvcQbNoix9FWPdAquBIKT/au901gKreN6eRt5OtOasgCU+0gQKB2moSxPswcesSbVDrZ/fWwVFmAZqoJc82fdqlUCoejaXKLzWZDRUUFPDzq3rgIESJqw3vo8DoOB/oYP3R/dxhyt17EqWcWIOfn3Qh4eAC8BsVflzXYyytRlGdt8LhC64a4D0ejMqUIB6YuQ+rCvQifxPKeSN0uzzO2n3YXFO4qHHpuBZLe/AM+PcIQ0qE2bbj3/a7Q+Gmw6dl12PX6FoSM6gQ3fcN+6VKVAtGfTIJnkBrLXz6Cr8Zsxx9vJ8NmdkCpazoP6zVuEGzFBmS/Mh/7HvhPk+fdDLhmTj0sLAxnz55FZmZmo9WMdu3aBavV2mSuXoSIOwXRM1jlpxIKpITC2xtRcz6Fzbe2djx4QBSCB0Qhr4oRQGFaYwD4aBsjqhdSqM93SGf4DumMYkHenoDewxHQeziEyXzufrd2ug/fqQ/io76/XHbt+o7B6LWQFSR3cBLkbzkLiVwKN2eirtDuAXju6MPO0aRK0QR5oOe/74ONI95yyFNMuil33rLOV4WB88jdNr/GHUFD2+NiBhmsd6XVzo2v8NZh7IdkiHSgtt0gYNr9eD5uQ62+Ds/3c7aY84EqujVC5jBJuHVA8xZrud64ZqI+ePBgnD17Ft9++y0++uijBsdZrVa89dZbkEgkGDFiRIPjbmfsPdYOUrUKQ3tS2PJwL9Y+ZKQXs4M75T5ZXs4MZWoZcUt93JkHQb/JFPX4adIwvq1wY7+IvgKxb5I3eTgsBfNUEVaW1wvCu0tsTMSOUFJGrWoHeZ1sKmVeFfeFJvN9aWaK9HSFUi9P+IHvey31Ab7dUc9UJedjaI6Xlq5faWCcWKA/6VdTqphb3lA/8jjZZKac2bsvMFXKUG/KiPd/sZTn+7tTLJS7R5t0vk+oksoxMgKk1ZAXQidfKoO2fye7Z6Xg922JpbFeSkaslK3JYyf/DKmfpE5Vi2447WlpFamvcvKYJ0xIkOAC8ez5lBmJMz15mHyeHRomIQ/tRp5NO8ooL77r/iI86ZxhHqT+qA5lH4NIHeVr76glfb0mjr1zLx4Yz/e1D6WQ+nSn907EqbXQh2ih81fjt82+KP1pHzQJnTHImZt9xV7KWBjXOZ1vuz5KMd60J4UW1tdaSWs6ZSPvmwid815I84ZdRlKFhHmy+0sqp72XC3IYLeixBADw2P5H+b4JsfQ7+u96Rtwnj9zB9wnTXXz/F/vA3DOEXEjXbqLKb+pezAbyR7+v+b6nz1EJwJcvspoJ7/aguI01i/vBbr6Jytm9/PLLcHNzw7x587Bw4cJ6xxw7dgyDBw/GwYMH4e7ujmefffZaLytChIibBMZiE/586zAW3LcJZcvWQtuzE3yeGHujl3XHQsI1Q225ZcuWYcqUKeA4Dr6+vigvL4fVakXPnj2RkZGB/Px8cBwHuVyOVatW3XE+6hUVFfD09ETk4rcg1ajQJ4y8f/rrmQGwXODT3VNDcvOMCw8CAPKPk8+1WxST0c2ZlKRr+nDyz1ZJGIe1tYw42cIaMnC5iv+ObU0SQ4WduMG73NmahEZHHylx9Zk2xqGV2uicZ6qJm/J3Y+vzlZMu4dNkEqEfbM+MRa4ivwBQKojufK4185mfJYgybePDDLXDfYkTz7Pq+XauibV3ZZLE4+tBxt/O3sznet3BeL5PFUDSgdXChFaXlAMAMf7EQR5PYZwfZyM+SJ1Dgq7J32lUVZNxVXuODKWuGtsPjaWI1WVbKREUnJk3teEknZhPsHvSdSWuVack6aCVzgAA2HeYONVl9xKH6Kps1VC+nNUHmBQo86Jz9gpP59vuTqNhTrWe73OT0f25kn/FeRJ3L3zmlQ7mbbJkOeUuN7cj9Uv/aCZxxuooKOiniyyKNzGEpEyhRHWmjKld0lNI/SLRkRTbL5r9dgwWQQ50Fa3pLk/2bn96liRboZTYwVlRaW9OZL3HJ4YyDn2XgfLmTwukHPNry+MBAClG2nM3Kb1TLlXTIG+SOD9deT/sJhNSP3gT5eXl12xzbJZY/YkTJ8Lf3x/Tpk1DSgoRpAMHqEhCmzZt8O233+Luu5vJxCtCxG0Ah9UK2O08URdm67ObTHX6bDZqWyVMLeCoIdHdWCkol2dixMRsqt/Q6ZonEXworEZSNVhkrG2toT5JPUTdLFAN1siJgJkcrF+oWnBUU9tSxc5rEnjUu+7VdQwAhLXVbUZzrbUDgEQqCBJzzrMKimRYbHSuGmdpvVp7Cmpb5JZ6j0sVskYNvzcLmm2VQ4YMwfnz57Fr1y7s3bsXubm5sNvtCAwMRGJiIgYOHAjZ34MfRIi4g+GwWmGe+xbyC5svZeHQmcL/ZTQ0zInf6vSkX8U11zY6ov6UB/WvjuVEOVvvscaR2chxyqZff52h/Q3MU3hrkfDz1KtbVAujWT89EokE/fv3r1VEQwTBXWeCTMPhYT96db7KHgQAuC+A0vkU2Un8cpVXa5eQzvedPsmsROMHkvHzcEU4304qZNnqugdQGoFnWu2os57t5ZQmQCkoDrw4z5mwy0zBGpNCD/Lt/1xixqRSgU/3M51JrfD10QEAaqsqYiLI6Lh8LxOx5ZX0kbfp6fr/sjFVzQORyXzf8XJ2T6V2uubOQvIzfzOC+cEfLaKiIDkFlA7YR8VE6Kh2JOpfyhaoJYxO9UuBIMlXbxK7XZy0VEXr1PSgeAvlBuafXt6JVAWmeFI1KE+x865Kief7OnS+hPWFdqQcaQWlzgEbHLByDpg4DjZIYOKksHJS2DgZTJwcFk4GM6eAlZPBxLnBBilrOxSwcXKYOBmsDjlsnAxmhxxWTgaLQw6bg53Hyslhc8hgcchYn0MKm0MKu0MKq0MGu0MKG8f+73BIYLOzfx0OCTiHBA67FJxDAo6TAA72x9klkDjA/u9sSzgJ4ABru47bnf93AOBcx/72L+dsc38/xkHiAKR251w7x/dLXcdtHJvnajs4SOwO51gHJA4OcHCQ2ByAw8H+tTtYGKnNxto2O+BwgLPbAZvN+a8dVrsJu0v/RKw2h1dleSvo3fg8l1SLLlVLN0/6ZH1zhOjh+73XAACW5JCXkcXbDkdN833Ybw15QoSI2xge7lIodYAVgJUDFBwHKySQcy5iLIWMk0HBySDjZLByMkid/8o5GSQOOaycHODkkDmJORxySF3/OmSQcFLAIYfEIQPnkEHiYFkh4ZDybfav1NknAWdnxyROwg4XUXc0QtQddYm6REjUHY0Q9TrHiKhLHKyOqkTqJOrOfyUSznl+DhI4ibrEwfoljLhD4oCEc9C/YAQeUhkj7lIbAAc4zg5IpOAkdkBiA4dmTP7eArhmom4wGLBmzRrs3LkTly5dQmkpczny8fFBVFQUBgwYgLFjx4oBRyJEiBDRArgmov7JJ5/g448/RkUFWexdzjQSiQR79uzBTz/9hJdeeglvvvkmpk+ffm2rvcVRWuQOqVoFeztSSzwWzHyp7QLv0h9zKbz94XbMh3bRIao+/s6Q1QCAbAtl+XslkMrBbdExtUqlndQnrhJ4AHDRaZkf4UP+zSoJGZNyalgo++OtSO+4Ip+yF85suxEA8N5pyhzZQUW+9ZEhLHWrt5LUD2Fa8pVOD2DrdpST987M/pRGYHsJ8+YIUhj4vo1G5snj6UvnHB9C/sVT1z8BAIiJJU8MkyAop8SZ0kCYebLEm1Q5FndnOTsf+kkUnCH1jE8M80DxVpPYnbGPgu1svdm65IJ870K4EkqaBakPTuY0vX6siBuPTZdiEN+WvT8BKqJ5rrJ/AFDtYB5P3+whh5AeHen4L3nMZz9YQ/MvagOcUkLz4KqJ+qRJk/DLL7/wRFwmkyEyMhLe3k53t9JSpKamwm63w2Aw4LXXXsPp06exaNGi5lm5CBEiRIiog6si6t999x2WLVsGAOjSpQvefPNNDB8+HFqtttY4o9GI9evXY86cOUhKSsKSJUuQmJiIJ598sr7T3vaYGH8QSp0Ci/LIP7mrnhlUhLnBu+nJhu/yHx/S+QzfF+3GfGkPVJBP9lI7GV50MuaO1VFNhtJWCookjNPoAQBFNuKUVxd35dsPBTBfXCEn/lzMDr69qpBx7cIc6O4ScjFzceixHmSULBQUvn7NWfD4sz0UZSpErjO685OD5KfuVs782pK9iTu+WEF+7lHt2bWMVvIN93cn/+S0DObnX+pF8QA1RoqS9fZmPu0WC/0k/NsLKheVsPULqxVZWglyYJex6zoEDl5+rUkqqJKz34a9gjh1Zd7f0t6KuKkxNuYEOvkyic3FkQPA1hKKB7lUygzm8wdRaoUvM4hrfzCE1SL4PoWkcY8kJezm5ssIecVE3Wq1YtasWZBIJBg/fjwWL14MhaL+yiBarRbjxo3DmDFjMGXKFCxfvhxvvfUWHn300TuynJ0IEfWhotIBJVef9wsznNo4CUycHRYOMHNSWDnAxNlhAwcrx8HkkMDGASaOg9XBwcY5YHZwsHIOWBwcbA670+DqgM0hg9Xp/WITeL/YnN4vdoH3i/0m837hmsP7xe70frELvF8cNmYwdTi9Xxx2gLMxgylnhw0NJzS7GXHFlPWPP/5ASUkJIiMjsXDhwgYJuhAKhQI//vgjDh48iPT0dPz555+47777rmrBIkTcLpDIZJDp3NGme1bjg0XcUCg0sjoZM29WXDFR3759OyQSCZ577jmoVE1POq9SqTBt2jRMnz4dW7duvSOJeoHZHW4KNxQIQvb7BLMI3H3V5HPdU0tRuZcsTG1QJifVVr6dGTLbaCiM/Wi5oAhvDRsbGkrif66VfLajlUx9IzS0Giz0LOecZwnXIr0pPH1bKYmYrhJ7uwtI/bM2PZZvV6ew9VkSSBfxbAgV2n12NVO/2WKJA3LliAeAAQEsfLzAi5JjnS5lYeGTfPfyfT9ypMa6WM5Kx+UW6vk+rpTUKxP7sXmucmUAsOEvSsTEebE0CNZKEqvzjdTWejMDqVpBBi2Dme7PrYK1JdGUmqCihvbU/ySbVxAviKh0qBHy0RvgbHbAzlQxmhA2315tRsqTn2HCXw9gT2Ynfk7nKDIEG0zs/DkldM+STFIvjRvK7jnfTJ5nB3LoPbHb2Jpf6UTBQZ9uodzqbwxhxcT/tZp+q0+PXs+3XWki4tXkky0su/iPCKZqyLfQ9duqKSHYiSpmKFYI0gAcL2M5/IVxE+5uZMR3vXsuFR0A9PUjQ+T/UuIAANF+lP//Hn9Kh2F3hulvKOrI9wWrDXw7RsveuYMGShNQU2XDhvuWIrXaHwfTmRNCnA85BmSU02/LWM3eL2GCvHhvGisDM6QnBJCKdYevN+zNl8/ryol6UhILkhkyZEgjI+ti2LBhmD59On8OESLudEgUCkgUCp6oyzS1RX03rQJSNX0cFFr60MhljIBIBR8PiYDRUuqYFO2moDkyDR3nnERdLcgzLryWq1+mqtsHAEpn3ViNhj5uMg19NFXOsUqBF5JaTfPdwNalEGRRlFuUznujcwqWD4WM7ZMcdB3XfQrvT7hPwjW7iLqimo67aait0jqD0AS2GWFq4FsBV7zazMxMSCQSdOhQf8Xwy6FDhw6QSqXIzGwsmFeECBEiRFwNrphTr6iogLu7OySSK7fcSyQSeHh41PJrv5OwfU8cpCoVHh9OqohVpcyTxCrgBjxl5It9yhgCALhUSZ4e51RMFeHKIQ4AK/t/y7cf/Os5dj2toOSWktQCKmcCpG4ayhbZrTW1Z59nIvjZAsoMGRdEnixjfJhYXeRJIrBQlXPBj81Lyg3h+1qFUUi9ZzumFjKkkNj6fVY/vn23P8ukt+p3Uq94pDER/adnBSXqFLRP7fRMFVVtIQ6rQk4coMtbYZQ+me9bJyf1S+Vx5rUgC6Nz+njRnlU6ueG8LLpPVR79fNRd2T1Vm+j65nLicAsS2FhLEaUhuDeBJNYNl5h6y1jGjjtq2O9rW1IspGriWpNSyPvn3k5MrRDhQWoyv3a05n66cwCAf5eRVK1WkiTQtRV75l9cHMj3Lbz3e75tcGYOXfnIfL7v9fT7+fb5JKbKWaSlZ/Lz4O/49lPJrHBGe0G2y9waPd8+V8JUZiNaU6aXqWEsbmNRZh++L1xL95dSyebc5XeJ71MJEno91p6l4LhUTTEGwndzyUnmJx7kS+/j2f2kajkQy57j0NBzfN/KbazgxslDkfj6YebV8tzvj/PHg2JJTfh4HEvdsaiA3t0zC0g1Wfgk82LTykilFLTPCpvVClIiXRuumFOvqqqCWt1wOanGoFQqYTQaGx8oQsQdDIlcDs97hkAieondcEjkcuiHDL1lnsUVr7I5LMC3ihW5uSEPq4JMY6sV6bkjm3HbL7Yj7t1V2Bkg//W0Iipo/FxXNvZ0CeWU3mmkijc/jmQVh1aXduf71pyO49ul0cyQujedit++Ekc5odUKxvm83/V3vm9vJeWPNnGMG9VIyU+7jaqgTruNlji0IkEirg/arwEAHA8nrjO5nNque7a1JWPTIw+yHOu7Smkdh/JozvuxrJLM4XxBtaEUuuaFQMa5bcl8iO9LuJt8/z2dXP+JUsoLn3+MCm8Hd2OSSp7AT92qJQ7RXMyMhhJBRKlfoIFvF8mY8VhY2ejPo/F8G0p2z88m7OC7vpYwDjs8goyLuQYqXO3i7tsG0D7vOE/749uVce2D/Yjr1ATQM9tjYGUl/xFBkcP/d2gS33Y4E7K5inIDgK+aGLL+fVhEsslO7+vbqRRbsKALqzIkTHh18ARJl1P7snu1C6TUAiu7v15+6XzfgaJwvu3nvH6EimIIhPhgL5MyA4MpLuOC3I9vL+q9GEDtakamaCKDuTYmPf4ng5Jw/f7wF8DDAHAaWTY9AKBnL9rTPIHR9qszAwAA87us4Pue7UPPJKeK3V9mIUkPjoc4OGo4gILCrwm3lgVAhAgRIkRcFlclTxQUFFx1bnSO465KHy9ChAgRIhrHVRH121F9UlJSgj/++ANbt27FsWPHkJGRAZvNBj8/P3Tv3h1Tpky5Zt96z790kLmp4PsGha8viGMiql1Q8fxwDRlulM5EPw4HHXdzlplb1JFS/pc4yD95V1W7Oud8Mp78u386x4xFkztQ8VxhqHMfP2ZAm358HN8X5k3ibLyW+SX7CAy6/yuhhF9mB3ut7vclsX6PkUTQH3YPAAB060ymoZ56MtQO0TK1yM86MmSer2aqpqOXSOUSEUIiuEbC1AodfEkNtD+U4gFiPVk+90orucLtOUlrkrlUKQWkGgvrTj7huXuZT7VNT+oVqZn2V6Jkvwmh91tRDRmCFXq2vpw0MnhDSee6K4bFJiw8R+keXO7bGWdIDcQJ5rj5MOfmBwKP0TWryeAc5EwNMWsnpWOY3JNy8LtKvh0xhPN9rXzpOT8QzAy5Jo7UK98kkVoi2N8AAMgrIZWQvZrGrvRmz+9wGj2zuNh0vv3DUaeBVfBuv5vIVH5SgZtjiI6MmkHORFpSEA0Sll2UlbJ3Tx1G6hVXCToAWFvO1JDCUopHUml9XSNZIJhE4Dt/7x8v8+3H++8EAHT2oHfj4P7BfLtnb6aWWZhHz+GbAUv49rS/HgMAhHWg+gKVv4bAbnGguULQrpiov/POO8106ZsLgYGBsNno5VCpVFAoFMjJyUFOTg5+//13jBgxAqtWrYJGo7nMmUSIECHixqFZCk/fDpBIJEhISMCjjz6KYcOGITKSccvp6en44IMPsHDhQgDAI488gqVLl17RuV2Fp1/dOwpKnQIlVjLgGW2MczyQGc73+XiQMeqRMFZxyGWAAYBhEcwFrJOWuIVl2cTV9vFlXG+shiLZ3v1lPN92izcAAMZGUKSdRkYGtCob41aX7Se3sumC1LiRSmaYW1pAx9vryJj3VzaL1gvQkkTyUOBhvj37GDNmTYmlakrnjeQ+ufes05hmJbZX6cOkgu4hxM/EudP97yxmRj+5lDi8zp50/4dKmfudsIhx+uZwvo2ujAPUa0n6MBjJy8tbx4y2wohVaT5x/e7tyuqcvzSNOHWplXGjkiA6v0JBSdyC9IwbTU3zhuG3zTDuOwaHsQaK0CD0fKEzAhKYAfhwCkWEuqo1TUwk7jvXTFzz7jQW8SvkvqM9KNJS76ze4+9GhtBzRpIKXNxwgYmSsU0JIolvkTNF9NthVPT8g0yKKE03sPvvF0wS2eZ0Muh3CWbPr0ogPVU7A5r6+1FU9VEDcdIns5ghe0IspV3elk8SVxtPdn8ZVYIoT4Gbq4eSSTfCKNTUauLaXZGqY4OPw2y0YduPmUg9Xonsk+WoqbDi3ve7IG5MWK3fy74SiqwO0RgAAB219O7tLqP1RWjZ+pYfI8kWVikcNSZkvfh2sxSeFg2lTmzbtg0HDx7EM888wxN0AAgPD8eCBQvw1FNPAQB+/vlnZGWJuTpEXB8U/7ASFRt3Q9u7C7wmjIZEKsGe6etRfDyv8ckimhVVBis2fpOGotQqBMa4Nz7hJoFI1J0YOHDgZY8/8cQTfPvIkSOXGSlCxNWh4lweqg8eh37ccHiNHwn3AT0RMPP/oAnU4cQ3B2708u44ePop8d6uvpi5ZSBGTG/X+ISbBLeGN/1NAGHyMrv96moWrjjYE1K1Cl06kVEwWsdUGX3CqK+HB7VdFYW8VpHKptU/ma/zxmJKSpRRQH7sLhVEtolE0A6DBEnC/sfUG0f0JNY+HESqkNnrmC/39FF/8X0/ppKq5dk2zFg00ofUN3mChGHd/VkaiGg1+U9/m04GtpHRzBAa7EZqgY15ZKj9sh/L1b8gl4xNblK25y8EUvKpRcUUyei65wSvdL5PaGyz2Jm3ltFCon6boSSCpxQzETzSk6IXT1koDiAnnR13K6CfjE1Hqha9iqlV0rPIJxoe5Mcuy2bXtQqSgHF2MhBmFnmjZMMhSGQSdJ/SCnJtLkqq2TOvjOuL0nXrcGi9LzRdSeyf0Ys9nzyrnu/TCSIVH+nAVF4/rxvA9/UfSe/BaA9mCP22kBiaghriSF8IZXv9zOGJfF+pPxmfu3mx5zzl2KN8n81G9zc4kkUG784jyffBaIqiXZvFIi1r9tO7+/TEtQAArSAG4rSMYgf6t2HJ3hRS+g0ODjrPt5ccZobmJXcv4PsK7XRPrhiQ/ZXkLy9U/7jUMt+fp3ernawQZZXsXd6b2gbHD3VHQIiBPz4xnAyx6Sb2ngj94D0Fkc8u/Osu8mP/PG0QbEZzsxlKRU69idixYwff7tSpU8MDRYi4SljS86AJ1UOuVdbqV7Vi+nRzbm5900SIqAWRU28CDAYD5syZAwC46667EBMTc9nxZrMZZjNxGndqrhsRVwZbWSXc/bV1+mVOw5ldfI9ENAEiUW8EDocDkyZNQl5eHlQqFb766qtG58yZMwfvvvtunf5Heu+FSqeoVWZuXioLoX6rzVq+zyAIqXcl/Gr7EoW0r86OBwBY7STq6j0ppP7tcOaNcLCGrPL/y+rCt239mKfF660pN/b8bArlnjScqVeExbCjvchr4kINU0tsz43m+zr4kH94ZpUeALBpSze+L6ALeceM8DoOANhcTuqjaRE7+Pb7F5gHRVEJic2RwcwnfZuR1DQbTtL8WX2YKuJIZXi9x91ymQdEj0G0j0dzKKWAzBnen/QHZR/1GkBrloWwPStT07MJDjDw7fRU5r0j0ZBbLCfwv7a5s/NLFaQSclSRT3fryELk2s0wcZ5ILWbqCD8PFuavi2HP1s2rHBoVifWrC9gzFXr8JJ2m+7+3ezIA4J37fuX7ztWQKmNRMUs6dcZAnketdHRPSwpZsfPeYel8X4qJxh4tZfsXF0gSRKCgIHO+iX2MXKopADhWRntecZqFyn84hUq//Tt1EADg6YhdfF+sO51/ZxFTmwz3OsX3bSij5+zyeV9aTOrC7bs60/3FsXN18KJn+3AgqR6/zhgAAHi/I6XIOGqMQJ6GqQrjWmehXRc3DPSkJGRCuEuZd825mqB6j7tg5Yj0Vq8Mgt3SfAnVb1n1y+LFiyGRSK76b8OGDU26zosvvoi//mIE4+uvv0bnzp0bmQG88cYbKC8v5/9EbxkRTYFUKQcniJVwgbOwPqmbyIOJaBziW3IZTJ8+nefMP/vsMzz++OONzGBQKpVQKpV1+g+WhkNuViIsmLheQzXzhT5kJK5aKUgl6uAY57HrEHGQTw5kya2yBIZQYRWkpxZMAwD0GE3czF0BlKrUFU132kypcUf6neTbX50fAAAwndbzfW0TyXi7t5AZvkoMZDRLFkgNo1qzgtQDHiTfdmFU4uunWPrWboH0sVNJiAP9v8jdAIAFEjJWDQtgnJFwbz7q+xvfPl3N7sXG0Tp6tE3n25f8GfdbKKg6JeR62zsljdJhZLxNKyYDnjWdzVOVEfcdHi2oLKXWAwC0yWRQl/ajc1XJWL/QOCpREwFXymxQ+WhRVVDFxwHnFbNzWg4yf39HWTAUAq48SM244v3L4/m+iJHku99ey7jSI1WUuK2DhrjeDZWMw/V0Iy7xwGFSLX44ghnzvrhEhZOFFYm6ebPnt3IzccV2P0FKWWdCs7Z6ivzdL4jHmDaKMVZvHKZI7YhA9tsQpt4dF0IRs//Xir0bmw2UzvZ4Eb3Ham8mFbTVkOSY1Y3qN/iqWAyIl5wkW28ZpSt2GWDfOT2a77sn/DQvtV40+KM4J7LW/DOVxJX382aG3JPlJBHp5LQnvTzY73BXOfmulw+sgaPaBCxGs+CWJeoTJkzAqFGjGh/YADw9PS97fObMmZg3bx4AYO7cuXjppZeu+loiRDQF7m38UJqUBHu1qVaFoppsRpSUgcHALVYEWUTL45Yl6g1xw82BGTNmYO7cuQCATz/9FK+++up1uY4IEUL492uDjF+PonzzUXiPYfpszmpDRdIhqEJbQ+HpBaDw8icRccfjliXq1wvTp0/nOfRPP/0UM2bMaLZzWz8JACdX4dhcCvX2d2eidZUgx3qJhVQEG44xHX6PruRfvC6XiZ7z25Kv61f5g/i2K8/W2VIyaqUpKH/zx23+BwCYk3kP32d8j0RYPM9OIBWod88cpzVzesYt+vuRUUz5LamClo3pBQA4/F08zfmYVBHjIpIBAIuOU/Iqv44kAm/NZaLp8BAyRp01MuNsUmEo32e20OvrMio+HUYGtjd2UEKytv/HfIkr15N/slJON7jvEAsu0aWRmcnUjo5Hd2Wqhox95Nt/cAepxDhPJrabBPm63DfQnmiHGQAA0m16vk8QaY60iNYAWsO9z0kULdsCe0UVZNIQVB49DKuhFH4PPQS7moObYM2bTrPrS8IEScaqKS9RoZUZKg8V0bPrGkFFojOWsr1QP0BGw8cG7uTbH/7AUksYI8knfHgIGZp1Mqa2mTmKjIpbSmhPXEWiq20Upv965418+z9zmBpOPZbeo4eCWRK4cjvdxxe/UTFsRSwzWHuoSWVUXkFjJ3VkRs8fTifyffKTZNxOdQ5NotcNa3uTKidAx36P5lN6AIBh/26sOFMFs4WpbSTHT0Bak42NUgc6/qMd3HRuKKqh8xdb2W83bXs43xe6lVQ1aV+zve7neYHvK2mtg9VoQTqaByJRF0BI0OfOnSty6CJaHEEv3AfFf7ejfMcJOKoOwS0wCEGPPQF1ZFTjk0U0O8r27ECRgRiSrB3pyNqRDgCIHhEJN51bAzNvHESi7oRQhz5//ny8/PLLjcxoOlw502w2xpqZq0gvajM6+wS1Iy12ilR01DCOxGq01JljrBRETAqO281sjt1IrKBNQed3zat1ThtxPvZqNs9uoj5HDV2Lc6611vmtwrGu+6U+TjDWpGLzHdV0XLgnrusL+yxmS61jAGC3ENdqc7K91ZXEVbr2DgBsHDuXTbAOYXpV11i7WSroE5zfWHdPBDZZONzYdR0m6rTT9vLr5swC1zXBcYezW2qzw+fBfvB5sB9sl5yJnSQcHM7rCtfvWrOkhn7Gwv1x7Z9wTk0V3ZPLjU543CR8Ds61OmpoT4XPRO40msoFIp3wnZI6OXWr4H2uUdW9vnDNrvWZ7IJxgj2XOsfaHIJ9qOc9EvbZBVG8DqmrD3RccH2bpPZzbv38DITspuNB/2QRp2qnwd5SZam1f67rC9cs/B24jlfbaE+tRgu/b82RX1HM0gggMzMTYWHOLH5SKfz8/C47fvr06Zg+fXqTz5+dnY1WrVo1PlCECBF3NLKyshAaGtr4wMtA5NTBAoyE7YKCgsuMZsW3rwTBwcHIysqCu7v7FVd9qqioQKtWrZCVlXXNKTlF3NoQ34XbFxzHobKyEsHBwY0PbgQip36Tw5WLvTnyLIu4tSG+CyKagls2olSECBEiRNSFSNRFiBAh4jaCSNRvciiVSrzzzjvXLdBKxK0D8V0Q0RSIOnURIkSIuI0gcuoiRIgQcRtBJOoiRIgQcRtBJOoiRIgQcRtBJOoiRIgQcRtBJOq3IEpKSrBo0SI88sgj6NChA7RaLZRKJUJDQzF27FisXr36Ri9RRDOisrISs2fPRqdOnaDT6eDp6YkePXpg3rx5sFgsjZ9AxB0F0fvlFoRCoYBNUPZMpVJBJpPBaDTyfSNGjMCqVaug0WjqO4WIWwQZGRkYMGAA0tPTAQAajQZ2u50vbN6lSxds3boVXl5elzmLiDsJIqd+C8JmsyEhIQHffPMNLl26hJqaGlRVVSEtLQ1PPPEEAGD9+vV46qmnbvBKRVwLbDYb7r33XqSnpyMoKAibN2+G0WhEdXU1li9fDnd3dyQlJeGRRx650UsVcTOBE3HLYdu2bZc9/tRTT3EAOABcZmZmC61KRHNjwYIF/HPct29fneO//PILf3zLli03YIUibkaInPotiIEDB172uItbB4AjR45c7+WIuE746aefALDn3bt37zrHx48fj4gIVlR6yZIlLbo2ETcvRKJ+G0KlotJ4drv9MiNF3Kyorq7G3r17ATD7SH2QSCQYPnw4AGDTpk0ttjYRNzdEon4bYseOHXy7U6dON24hIq4aZ8+e5fP8d+zYscFxrmP5+fkoLS1tkbWJuLkhEvXbDAaDAXPmzAEA3HXXXYiJibnBKxJxNcjNzeXbISEhDY4THhPOEXHnQiTqtxEcDgcmTZqEvLw8qFQqfPXVVzd6SSKuEpWVlXz7cm6pwmPCOSLuXIhEvQWwePFiSCSSq/7bsGFDk67z4osv4q+//gIAfP311+jcufP1vC0RIkTchBCJ+m2C6dOn85z5Z599hscff/wGr0jEtcDd3Z1vV1dXNzhOeEw4R8SdC7HwdAtgwoQJGDVq1FXP9/T0vOzxmTNnYt68eQCAuXPn4qWXXrrqa4m4OSAsQJyTk9Og1JWTk1PvHBF3LkSi3gJQKpXXrVrNjBkzMHfuXADAp59+ildfffW6XEdEy6J9+/aQSqVwOBw4depUg26Np06dAgAEBgbC29u7JZco4iaFqH65hTF9+vRaBH3GjBk3eEUimgsajQaJiYkA0KBNheM4bNy4EQAwdOjQFlubiJsbIlG/RTF9+vRaKheRoN9+mDJlCgBg+/btOHjwYJ3jK1euRGpqKgBg8uTJLbo2ETcxbnSeAhFXjhkzZvA5P+bPn3+jlyPiOsFqtXKdOnXiAHAhISF8fhe73c6tWLGC8/Dw4ABwI0aMuMErFXEzQUy9e4shMzMTYWFhAACpVAo/P7/Ljp8+fTqmT5/eEksTcR2Qnp6OgQMH1kq963A4YDKZAIipd0XUhWgovcXgCh13tQsKCi47vqqq6novScR1RHh4OE6cOIG5c+fit99+Q1paGhQKBWJjYzFhwgQ8//zzcHNzu9HLFHETQeTURYgQIeI2gmgoFSFChIjbCCJRFyFChIjbCCJRFyFChIjbCCJRFyFChIjbCCJRFyFChIjbCCJRFyFChIjbCCJRFyFChIjbCCJRFyFChIjbCCJRFyFChIjbCCJRFyFChIjbCCJRFyFChIjbCCJRF3Fb4dFHH4VEIsGjjz56o5ciogmYNWsWJBIJPvnkkxu9lKvG8OHDIZFIsG3bthu9FAAiUb/pMXv2bEgkklp/UqkUHh4eCA0NRZ8+fTBt2jSsWrUKFovluq1j8eLFmD17Nnbs2HHdriHixiA+Ph4SiQRbtmxp0etmZ2dj/vz58PPzw3PPPdei1546dSokEgl8fHxgNpubPC86OhoSiQSjR4/m+2bPng2ApbkWZlG9URCJ+i2EgIAABAQEwN/fHxKJBLm5udi/fz+++eYbPPjggwgODsa33357Xa69ePFivPvuuzc9UQ8KCkJMTAyCgoJu9FJuCWRkZOD48ePQ6/UYMGBAi177rbfeQk1NDWbOnAmtVtui137iiScAAKWlpfj999+bNGfnzp1ISUmpNR8AevXqhWHDhiEpKQk///xz8y/2SnFja3SIaAzvvPMOX+Xo77DZbNyJEye4efPmcREREfy4hx9+mHM4HM26jv79+3MAuHfeeadZzyvixuLzzz/n35mWRHZ2NieTyTg3NzeupKSkRa/tQocOHTgA3PDhw5s0fsqUKRwALiAggLNarbWOrV69mgPAxcbGXo+lXhFETv0WhkwmQ6dOnfDKK6/g1KlTGD9+PADgl19+wccff3yDVyfiVoCLSx0zZkyLXveHH36A3W7HyJEj4e3t3aLXdsHFbW/atAk5OTmXHVtZWYlVq1YBYPVg5fLa9YVc93H69Gns3bv3+iy4qbjRXxURl8flOPW/w2w2c126dOEAcB4eHg1yQGlpadyLL77IdejQgdNqtZxareZiYmK4F154gcvIyKg1dtGiRfz1G/pLS0vjx4eFhXEAuEWLFjW4ThfHM2XKlDrHhBKBw+Hgvv/+ey4hIYFzd3fndDod16tXL27p0qU35NwOh4P78ccfuV69enE6nY7z8PDgEhISuO+++45zOByXvXZTUVpayn3++edc3759udDQUM7NzY3z8fHhOnbsyD388MPc2rVrr/rc9V1LLpdzbm5uXEVFRb1jdu/ezf3jH//ggoKCOJVKxcXExHCzZs3iqqurOY7juEuXLnFyuZyLjo7mbDZbk67rcDi40NBQDgC3YsWKBscJn5fVauXmz5/PxcfHc1qtlvPz8+PGjBnDJScn8+ONRiP3/vvvc7GxsZxGo+G8vb25hx56iEtJSan3/IWFhZxCoeAAcB988MFl1/zDDz/w7/vZs2frHTN16lQOADd58uQm7ML1g0jUb3JcCVHnOI5buXIlP37hwoV1jv/888+cUqnkxyiVSk6tVvP/d3d35zZu3MiPX758ORcQEMC//FqtlgsICKj1l5mZyY9vLqI+a9YsbsyYMRwATi6X80WWXX9vv/12i57bZrNx//jHP/gxEomE8/Ly4qRSKQeAmzBhwjUT9X379nH+/v78NRQKBeft7c3J5XK+b968eVd17vqwdOnSBtUPJpOJJ1IAOJVKVeu9mTp1KsdxHPfEE09wAC77Mfw7Tpw4wZ8nLy+vwXGu5/Xmm29ygwYN4gBwbm5unFar5efrdDru8OHDXHFxMc/QqFSqWu+0v79/HWbFhQceeIADwLVp0+aya+7Tpw8HgOvTp0+DY1z7GRAQ0LSNuE4QifpNjisl6pWVlZxMJquXY9i0aRMnlUo5uVzOzZw5k0tLS+McDgfncDi4c+fOcQ8++CDP5f/9R9BUnXpzEXUvLy/O09OTW7x4Mc8VZmVlcffeey8HgJNKpdyFCxda7Nxz5szhn8Mrr7zCFRcXcxzHceXl5dxHH33EE/mrJepVVVU8QR83bhx39OjRWsdzcnK41atXc5cuXbriczeEcePGcQC4//znP7X6HQ4Hd//993MAOE9PT27lypWczWbjrFYr989//pPfozNnznAKhYJr164dZ7fbm3zdr776igPAtWrV6rLjXM9Lr9dzPj4+3MqVKzmLxcI5HA7u0KFDXGRkJE9o77vvPi48PJzbuHEjZ7fbObvdzm3ZsoXz8/PjAHATJ06s9xrr1q3jn+vOnTvrHXPu3LnLMkouXLhwoVFuviUgEvWbHFdK1DmO46KjozkAXGJiIt9nt9v5/u+++67BuaNHj+YAcC+++GKt/pYm6gC4bdu21TluMpm44ODgBkXm63Huqqoqnpt/4okn6r0n4XO6GqL++++/cwC4sLCwZjdy1weTycTpdDpOIpFwOTk5tY799NNP/L38Xd1jtVo5Hx8fDgDXr18/DgC3fPnyK7r2pEmTOADcqFGjLjtO+Lx2795d5/jWrVv542q1mrt48WKdMQsXLuSPWyyWOsftdjuvCmrouc2cOZOXCiorKy+7Zp1OxwHgfvzxx8uOu54QDaW3IVyGp9LSUr5v165duHjxInx9ffHkk082OHfy5MkAgI0bN17fRTaCxMREDBw4sE6/UqnEJBRH8QAACx9JREFUsGHDAAAnTpxokXNv2rQJFRUVAJgbXn149dVXodFormo9AGCz2QAAubm5+OWXX2C1Wq/6XE3Btm3bUFVVhe7duyM4OJjv5zgO77//PgDggQcewMiRI2vNk8vliIqKAsDeqY4dO+Khhx66omvn5uYCAPz8/Jo0vm/fvujbt2+d/v79+0OpVAIAxo0bhzZt2tQZ43qeNTU1uHjxYp3jUqmUD1RbtWoVqqqqah232+1YunQpAOChhx6CTqe77Fp9fHwA0D3eCIhE/Q6ByyJfXl6O4OBgBAYG1vs3depUAMx/+UaiZ8+eDR5zESHhR+t6nvvYsWMAgNatWyMiIqLeee7u7ujWrdtVrQcA7rnnHiQmJsJqteKRRx6BWq2Gn58fAgMDsXbt2gbnpaSk1AlOCwgIwKhRo3D8+PEG561ZswZAXa+X/fv3877Y06dPr3euSqXi267guCtBUVERADTZ6yUhIaHefplMBl9fXwBAjx496h0TEBDAt8vKyuod89hjj0EikcBoNOLXX3+tdWz9+vXIy8sDUNs3vSG47sl1jzcC8saHiLjV4CJILq4BIM7BarWioKCg0XPU1NRcn8U1Ee7u7g0ec7mTXS03e6Xndv1AhRxtfQgJCbmq9QBMSvjll1/w9NNPY/369bDb7SguLgaAejlQF5KSkgAA06ZNQ69evWC323Hy5El8/fXXOHDgAE6dOoXAwMBacziOw59//gkAGDt2bK1jmzdvBsCCuBr6+LmiJuPj43H//fdf8b2aTCYA4LnsxtCU59XQGKHrYUPvS2RkJAYMGIDt27fjxx9/rEW8f/zxRwBAu3bt0KdPn0bXqlarAdA93giInPpthqqqKqSmpgIALyYDTIwEGJfKMVtKo38iauNKOdIrwb/+9S/ExMTAZDJh48aNKCws5J9DTExMg/NcRH3q1Kl45JFHMGXKFMydOxevvfYaSkpKsH79+jpzDh06hLy8PERFRSE2NrbWsaNHjwJgKqqG7tdoNAIA/vnPf17VnriYjYY45xsBFyHft28fLly4AIB9zP/66y8AwOOPP96k89THULU0RKJ+m2HDhg08AReGfbu4teutVnFxRpfjVMrLy6/rGpobLt1vY3rSxgJYGsKCBQswc+ZMDBgwAFu2bMHQoUObrG9OSkqCm5sbOnToUKs/MjISQP17fbmAo7S0NABAWFhYvdfbunUr/yFp27Ztk9b4d7ju7WrVZ9cDDzzwAPR6PQDizn/++WdYrVbI5XLe1tQYXPfU1Od3PSAS9dsIFosFH330EQDA09OzlmidmJgIAMjPz8eRI0eu+NxSKXtVGuPgvby8AABZWVn1Hnc4HFd1/RuJrl27AmAfxPT09HrHVFVV8VzulWLevHkAmArFtc9NRVJSEjp27AiFQlGr38Wh9+rVq86chvTpAPikcPUlprLZbHjllVf4///9mk2F6wPkkihvBqhUKjz88MMAgCVLlsBut2PRokUAgFGjRtXSzTeEyspKXmXWvn3767fYRiAS9dsENTU1ePTRR3ku6o033uA5DwAYOHAgr5t9+eWXG83o+HcuysPDAwBgMBguOy8uLg4AsHr16no/AD/99BOys7Mve46bDUOHDuXv3/XR/Ds+++wzVFdXX9X5XeJ+YWHhFc3Ly8tDQUEBYmJiUFxcjKKiIiQnJ2PatGlYvnw5pkyZUoeoX7x4EWfPnoWvry//oRfC398fAHDgwIE6xz766KNaXkEuifBK0a9fPwDA8ePHryhD4vWGSwWTl5eH999/HydPngTQdNXLkSNH4HA4IJfL693bloJI1G9hOBwOnDp1CvPnz0dsbCz++9//AgAmTZqEmTNn1horl8vx7bffQi6XY8+ePejXrx+2bt1ay3iUmpqKb7/9Fj169MA333xTa37Hjh0BAOvWrbusmmHChAkAgLNnz+L//u//UFJSAgCoqKjAZ599hqeffvqG5fq4Wmi1Wrz22msAWM6SmTNn8h+9yspKfPLJJ5g9ezYvpVwpXAbY1157DcuWLeM/Dg6HA/n5+fj111/xzDPP1Jnn+oD/97//hZ+fH/z9/dGlSxcsX74cX3/9Na9GEMKlehk1ahRkMlmd43fffTcA5gXz8ccfw2q1wmKx4OOPP8bs2bOh1Wp5D6Bly5Zd1f0mJiZCLpfDYrEgOTn5qs5xPdC1a1fEx8cDAO/WGRQUVMetsyEcPHiQP09jro/XEyJRv4UgdD308vKCQqFAp06d8OqrryItLQ2+vr749ttvsWTJknoNWIMGDcLKlSvh7u6OgwcPYvDgwdBqtfD19YVKpUJUVBSeeeYZHDlypM78KVOmQKVSISUlBa1bt0ZgYCDCw8MRHh5ei/MeNGgQJk2aBIDpin19feHl5QUvLy+88soreOqpp3Dvvfde3426Dpg5cybGjRsHgBk1/fz84O3tDS8vL7z++uuYOHEif19Cl7+m4KOPPoJEIkFxcTEeeeQRaLVaeHl5QalUIigoCOPHj69XunER9e+++w6bN2/GmjVrMHHiRJSWlqKwsLBeVU5jCbyee+45hIaGAmDSnoeHBzw8PPDGG29ApVJhxYoVvFrvo48+gr+/f71c/eXg4eGBe+65BwDwxx9/XNHc6w0Xt+5SP02ZMqXej199cN2LS41zoyAS9VsIBQUFKCgoQGFhIWw2GwIDA9GrVy8888wzWLVqFXJycvDUU09d9hxjx45FSkoK3nnnHSQkJECn08FgMECpVCIuLg5PPvkkVq9ejRkzZtSaFx0dje3bt2P06NHw8/NDSUkJMjIykJGRwQfOuLB48WJ8/vnniI+Ph1qthsPhQGJiIlasWIEvvvii2felJSCXy7FixQosWLAACQkJUKvVsNls6N69OxYsWIAlS5bwqimh2qspmDRpEvbt24dJkyYhKioKarUaRqMRfn5+6NWrF1599VW88847deYlJSVBJpNh8uTJGDx4MMaMGYOlS5eiW7dumDt3Lu+l4kJRURH27dsHtVqNoUOH1rsWPz8/HDhwAE888QRCQ0Nht9shk8nQq1cv7NixAyNHjsTs2bNx3333QaFQoKioCO3atbui+wXAv6e//PLLTeVpNXHixFof5aaqXlJTU7F//36o1eomG1WvG1o8hlWEiNsQwsyDS5YsaZFrRkZGcu3atavT/+WXX3IAuF9//bVWvytk/t57722R9V0Odrudi4qKumzOlVsJ7777LgeAe+yxx270UsQ0ASJENAeWLl2K7OxsyOVyDB48+Lpfr7y8HGlpabxhWohRo0YBIC8XF1yql78HHN0ISKVSXm99q+f+NxqN+PLLL6FUKuuVqFoaIlEXIaKJmDBhAlatWsW7rQFMJfbxxx/z6RUmT57cIqX0kpOTwXFcvUQ9PDwc7du3x7p162oZwhMTE/HOO++0eEGMhjB+/HgkJCRg/fr1OHTo0I1ezlXjq6++QnFxMV544YUG/ftbEmKaABEimoj169dj+fLlAACNRgOFQlEruOeuu+7CZ5991iJrcRlJO3fuXO/xESNGYP78+di5cycvOfzdI+pGQyKR4LvvvsOaNWtuaK6Ua4VWq8Xs2bPx0ksv3eilAAAkHHcTWSlEiLiJsWTJEqxfvx5JSUkoLCxEVVUV9Ho94uPjMX78eEyaNOmqA3JEiGguiERdhAgRIm4jiDp1ESJEiLiNIBJ1ESJEiLiNIBJ1ESJEiLiNIBJ1ESJEiLiNIBJ1ESJEiLiNIBJ1ESJEiLiNIBJ1ESJEiLiNIBJ1ESJEiLiNIBJ1ESJEiLiNIBJ1ESJEiLiNIBJ1ESJEiLiN8P/n+PG/j5GdcQAAAABJRU5ErkJggg==",
+ "text/plain": [
+ "<Figure size 450x340 with 2 Axes>"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "#Plot main figure\n",
+ "fig, ax = plt.subplots(figsize=(4.5,3.4))\n",
+ "plt.subplots_adjust(left=0.1, right=0.99, top=0.98, bottom=0.2)\n",
+ "left_dot_factor = 2.5 #factor to make the intensities of both sensor equal (similairy to the experiment)\n",
+ "sum_sensor_gradient = left_dot_factor*np.abs(np.gradient(sensor_signalexp[:,:,0],axis=0)\n",
+ " ) + np.abs(np.gradient(sensor_signalexp[:,:,1],axis=1)) #sum of gradients\n",
+ "\n",
+ "pc = ax.pcolormesh(1e3*xexp,1e3*yexp,sum_sensor_gradient/np.max(sum_sensor_gradient),\n",
+ " cmap=\"viridis_r\",vmin=-0.05, vmax=0.8) #plot the sum of gradients\n",
+ "ax.set_aspect('equal', 'box')\n",
+ "\n",
+ "#plot polytopes. NOTE: only_labels=True -> plot only the labels of the polytopes, skip_dots=[4,5] -> skip the sensor indices\n",
+ "plot_polytopes(ax, polytopesexp, axes_rescale=1e3, only_labels=True, fontsize=15, color=\"black\", skip_dots = [4,5])\n",
+ "\n",
+ "#labels\n",
+ "plt.xlabel(r'Detuning $\\epsilon_{R}/\\alpha$ (mV)')\n",
+ "plt.ylabel(r'Detuning $\\epsilon_{L}/\\alpha$ (mV)')\n",
+ "cbaxes = inset_axes(ax, width=\"40%\", height=\"3%\", loc='lower right', borderpad=1)\n",
+ "cb = plt.colorbar(pc,ticks = [0,0.8], cax=cbaxes, orientation='horizontal')\n",
+ "cb.ax.set_xticklabels([\"0\",\"1\"])\n",
+ "\n",
+ "cb.ax.tick_params(labelsize=12)\n",
+ "cb.ax.set_xlabel('Norm. gradient', fontsize=10)\n",
+ "cb.ax.xaxis.set_label_position('top')\n",
+ "\n",
+ "\n",
+ "plt.savefig(\"figures/fig1.png\")"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "59cc821a",
+ "metadata": {},
+ "source": [
+ "### Figure 4: Charge stability diagram with varying Coulomb peak size"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "77e6ec79",
+ "metadata": {},
+ "source": [
+ "In this example we test the effect of varying Coulomb peak size on the charge stability diagram. This is controlled by the capacitance configuration file, through the parameter ks. "
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 9,
+ "id": "c2487482",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "# Generate the simplest CSD diagram\n",
+ "xks, yks, csd_dataks, polytopesks, _, _ = experiment.generate_CSD(\n",
+ " x_voltages = np.linspace(0, 0.06, 500), #V\n",
+ " y_voltages = np.linspace(0, 0.03, 100), #V\n",
+ " plane_axes = [[1,0,0,0,0,0],[0,1,0,0,0,0]], #NOTE: with defauls use_virtual_gates = False, this means voltages.\n",
+ " compute_polytopes = True) \n"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 10,
+ "id": "79423fac",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "image/png": "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",
+ "text/plain": [
+ "<Figure size 1200x400 with 2 Axes>"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "\n",
+ "# Create a figure\n",
+ "fig = plt.figure(figsize=(12, 4))\n",
+ "\n",
+ "\n",
+ "# Define the grid\n",
+ "gs = gridspec.GridSpec(1, 2, width_ratios=[4, 1.3])\n",
+ "plt.subplots_adjust(wspace=0.3, top = 0.98, bottom = 0.16, left = 0.08, right = 0.99)\n",
+ "\n",
+ "# Create subplots\n",
+ "ax0 = plt.subplot(gs[0])\n",
+ "ax1 = plt.subplot(gs[1])\n",
+ "\n",
+ "\n",
+ "#plot the csd with background polytopes\n",
+ "ax0.pcolormesh(1e3*xks,1e3*yks,csd_dataks) #plot the background\n",
+ "plot_polytopes(ax0,polytopesks, axes_rescale = 1e3, skip_dots=[2,3,4,5], fontsize=16) #plot the polytopes\n",
+ "\n",
+ "# plot customisation\n",
+ "ax0.set_xlabel('Relative Voltage $v_0$ (mV)')\n",
+ "ax0.set_ylabel('Relative Voltage $v_1$ (mV)')\n",
+ "ax0.set_xlim(xks[0]*1e3,xks[-1]*1e3)\n",
+ "ax0.set_ylim(yks[0]*1e3,yks[-1]*1e3)\n",
+ "\n",
+ "\n",
+ "# computation of the line-cut data\n",
+ "cut_voltage = 14*1e-3 #select the voltage at which the line-cut is taken\n",
+ "indx = np.argmin(np.abs(yks-cut_voltage)) #find corresponding index\n",
+ "labels = set(csd_dataks[indx,:])\n",
+ "addition_energies = [np.sum(csd_dataks[indx,:]==label) for label in labels]\n",
+ "\n",
+ "#plot the line-cut data\n",
+ "ax1.plot(np.arange(1,6),addition_energies[1:-1]/addition_energies[1], \"o\")\n",
+ "ax1.set_ylabel(r\"Diamond size $\\Delta v_{n}/\\Delta v_{1}$\")\n",
+ "ax1.set_xlabel(r\"Diamond number $n$\")\n",
+ "ax1.set_xticks(np.arange(1,6))\n",
+ "ax0.hlines(yks[indx]*1e3, xks[0]*1e3, xks[-1]*1e3, color=\"r\", linestyle=\"--\")\n",
+ "\n",
+ "\n",
+ "plt.savefig(\"figures/fig4.png\")\n"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "ad4f1534",
+ "metadata": {},
+ "source": [
+ "### Figure 5: Finding particulair transition"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "79fb803d",
+ "metadata": {},
+ "source": [
+ ".Here we show the ability to select the transition in high-dimensional voltage space. We compare two-dot and four-dot transition"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 11,
+ "id": "d05b293c",
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "v_offset found: [0.01825755 0.01984214 0.05132545 0.03493506 0.04909741 0.04986671]\n"
+ ]
+ }
+ ],
+ "source": [
+ "# Two-dot transition\n",
+ "x2, y2, csd_data2, polytopes2, _, _ = experiment.generate_CSD(\n",
+ " x_voltages = np.linspace(-0.015, 0.015, 100), #V\n",
+ " y_voltages = np.linspace(-0.015, 0.015, 100), #V \n",
+ " plane_axes = [[1,0,0,0,0,0],[0,1,0,0,0,0]],\n",
+ " compute_polytopes = True,\n",
+ " target_state=[2,1,5,3,4,4], #target state for the transition\n",
+ " target_transition=[-1,1,0,0,0,0]) #target transition from the target state\n",
+ "\n",
+ "\n"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 12,
+ "id": "20abf1d4",
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "v_offset found: [0.01871567 0.02037499 0.04581756 0.03699487 0.05022946 0.05079063]\n"
+ ]
+ }
+ ],
+ "source": [
+ "#Four-dot-transition\n",
+ "x4, y4, csd_data4, polytopes4, _, _ = experiment.generate_CSD(\n",
+ " x_voltages = np.linspace(-0.005, 0.005, 100), #V\n",
+ " y_voltages = np.linspace(-0.005, 0.005, 100), #V\n",
+ " plane_axes = [[1,0,0,0,0,0],[0,1,0,0,0,0]],\n",
+ " compute_polytopes = True,\n",
+ " target_state=[2,1,5,3,4,4],\n",
+ " target_transition=[-1,1,-1,1,0,0]) \n"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 13,
+ "id": "ec6de142",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "image/png": "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",
+ "text/plain": [
+ "<Figure size 1000x400 with 2 Axes>"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "# Create a figure\n",
+ "fig = plt.figure(figsize=(10, 4))\n",
+ "\n",
+ "\n",
+ "# Define the grid\n",
+ "gs = gridspec.GridSpec(1, 2, width_ratios=[1.3, 1.3])\n",
+ "plt.subplots_adjust(wspace=0.25, top = 0.98, bottom = 0.16, left = 0.06, right = 0.99)\n",
+ "\n",
+ "#Two-dot transition plotting\n",
+ "ax0 = plt.subplot(gs[0])\n",
+ "ax0.pcolormesh(1e3*x2,1e3*y2,csd_data2) \n",
+ "plot_polytopes(ax0,polytopes2, axes_rescale = 1e3, skip_dots=[4,5], fontsize=11)\n",
+ "ax0.set_xlabel('Voltage $v_0$ (mV)')\n",
+ "ax0.set_ylabel('Voltage $v_1$ (mV)')\n",
+ "ax0.set_xlim(x2[0]*1e3,y2[-1]*1e3)\n",
+ "ax0.set_ylim(y2[0]*1e3,y2[-1]*1e3)\n",
+ "ax0.set_aspect('equal')\n",
+ "\n",
+ "#Four-dot transition plotting\n",
+ "ax1 = plt.subplot(gs[1])\n",
+ "ax1.pcolormesh(1e3*x4,1e3*y4,csd_data4) \n",
+ "plot_polytopes(ax1,polytopes4, axes_rescale = 1e3, fontsize=12, color=\"white\")\n",
+ "ax1.set_xlabel('Voltage $v_0$ (mV)')\n",
+ "ax1.set_ylabel('Voltage $v_1$ (mV)')\n",
+ "ax1.set_xlim(x4[0]*1e3,x4[-1]*1e3)\n",
+ "ax1.set_ylim(y4[0]*1e3,y4[-1]*1e3)\n",
+ "ax1.set_aspect('equal')\n",
+ "plt.savefig(\"figures/fig5.png\")"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "3a8c84df",
+ "metadata": {},
+ "source": [
+ "### Fig 6: Virtualisation"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "e83156fb",
+ "metadata": {},
+ "source": [
+ "We now showcase gate virtualisation, i.e. allignment of the transition with selectaed axes in plane_axes. "
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 14,
+ "id": "9ff3ab0d",
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "v_offset found: [0.05306243 0.04244193 0.04984212 0.04984418 0.0561569 0.05628286]\n"
+ ]
+ }
+ ],
+ "source": [
+ "#Show the transition without gate virtualisation\n",
+ "xnV, ynV, csd_datanV, polytopesnV, _, _ = experiment.generate_CSD(\n",
+ " x_voltages = np.linspace(-0.005, 0.015, 100), #V\n",
+ " y_voltages = np.linspace(-0.001, 0.019, 100), #V\n",
+ " plane_axes = [[1,0,0,0,0,0],[0,1,0,0,0,0]],\n",
+ " compute_polytopes = True,\n",
+ " target_state=[5,4,5,5,5,5],\n",
+ " target_transition=[1,0,0,0,0,0], #Transtiion from [5,4,5,5,5,5] -> [6,4,5,5,5,5] at v=0.\n",
+ " compensate_sensors=False) \n"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 15,
+ "id": "c4f8da6b",
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "v_offset found: [0.05306243 0.04244193 0.04984212 0.04984418 0.0561569 0.05628286]\n"
+ ]
+ }
+ ],
+ "source": [
+ "#Show the same transition with gate virtualisation\n",
+ "xV, yV, csd_dataV, polytopesV, _ ,_ = experiment.generate_CSD(\n",
+ " x_voltages = np.linspace(-0.005, 0.015, 100), #V\n",
+ " y_voltages = np.linspace(-0.001, 0.019, 100), #V\n",
+ " plane_axes = [[1,0,0,0,0,0],[0,1,0,0,0,0]],\n",
+ " compute_polytopes = True,\n",
+ " target_state=[5,4,5,5,5,5],\n",
+ " target_transition=[1,0,0,0,0,0] , \n",
+ " use_virtual_gates= True) # Now we change it to True"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 16,
+ "id": "beb42a81",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "image/png": "iVBORw0KGgoAAAANSUhEUgAAA7YAAAGQCAYAAACakPyaAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjguMCwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy81sbWrAAAACXBIWXMAAA9hAAAPYQGoP6dpAAEAAElEQVR4nOydd5hU5dmH7zMz23vvsIUFFlh67wiKglhR7A3sicZPYgwxlmhiNCYmahKjgmLFiiIIKAjSe6/b2d7r7OzUc74/ZgsLW2ZmB2aXfe/rGnbmzDnPPHPYnTO/92mSoigKAoFAIBAIBAKBQCAQ9FBUrnZAIBAIBAKBQCAQCASCriCErUAgEAgEAoFAIBAIejRC2AoEAoFAIBAIBAKBoEcjhK1AIBAIBAKBQCAQCHo0QtgKBAKBQCAQCAQCgaBHI4StQCAQCAQCgUAgEAh6NELYCgQCgUAgEAgEAoGgRyOErUAgEAgEAoFAIBAIejRC2AoEAoFAIBAIBAKBoEejcbUDlxqyLFNYWIifnx+SJLnanYuGm5sbXl5eABgMBgwGg4s9EggEzkZRFOrq6oiOjkalEuuigt5Lb73WCwSCS58efa1XBE4lLy+vze0PPvigAth827RpU5t2Vq9e3WU7n332mV02+vbt26Yvs2fPbt7H09NTiYiIULZv3668/vrrdtkXN3ETt551a+9zTiDoLeTl5bn871DcxE3cxO1C3nritV5SFEVB4DRqamoICAjgiR+/ZEvxmebttUY9BovZZjsBHl64q9TNj4M8vVg3/2Ge+mUVX6UdstnO5/PuIbumgr/v3dS8TW8xUWe0PaIa6xvIjtt/w62rl5NWWda8vdrQgEm28OqEOVzVdwCL9j7HH0c+TGZtPv879YXN9s/m1bH/x9DgAQA8sv1FsuryHbJzKXB5zASeTL0HgJU5Gx0+p038Y/hiwj2DuWPXEq6LOOgEDwX2ckvEAlS+9yNX3APmw652x25qtTJ9R+ZQXV1NQECAq90RCFxGTU0NgYGBJD7xLCoPzwv2Op8vXEBMUABjvnrzgr2GwDEOLXiMbG0Bfzj2lqtd6TUsSVnEsMBkPsu6onnbNf3+S7TfKAD2FL7NgZJl520/l5+y/0Bm9U82v26070iuSX67zeeq9Dl8fvJmm20BDAiey4y+z523/WDJcnYX/tsuWwC3D/oWP4/o87a/e2gyFsUIQJzfeOb2ewMAk0XH0iPTm/e7NfEnFMMWqPkN0LOv9SIV2ck0pSTVKRYqOEvIumtQ2XG661DgrOOvTRhAg9nE2qJMVF62X0QllQq9Irf2RS3ZZUPl6QFAzbnvycMNFW5sqsjnlqFjmZ0wFUmlQuWmws3H3Wb75/q7rmg7n5xZQ61c38rOzPBxXBs7gxivcOrNDWwvP8T/Mr+02fZfUh8jNTD5vO17K4/zp+Ntf2DZamdL2X7+duoDm22EewSzdOwL521/7th/OFB1EoAdtUc4tGsJSwYt6tI5bSJPKWVQYDIxwZF4+Yo/fVfgr/kRlf+TyOrroO6Yq91xGJF6KejtNP0NqDw8UXteOGHr5++Pv7+/XddswcXB3z8Ab1V1l6/NAtsJDAjAz9+v1XcYlVqipOEw+8rfQmcqaX5uT+Xfcav2aXX8oMAF9PWdToV8wK7vQVpVBmvy7m+1zV3lw8zov1PUsMvu71RuHtbA1U8FT2CUtc3bdeYyh76fSSqJnLqfOV79WWsffWSapF6NdJI1efeT7D+PBL9ZrV7H398fRe8GsrrV8T3xWi++3V4gXpw0h1c1GvK0NXyRcZhP0w7RldD4zf2G8n3OSRrMJruPvTZxMNclDqZcX8/mgiz+dXg79Waj3XbevexGPFQacuqqWHpiL2tzTwPwU14aiqIwJmSw3TbbwiAbqTbVtX4PMTO4PuYy3s/+ltN1Z3BXaYjwDLXL7l9OvodGavmj9Xfz4Y2RT7O9zP7oZZP4bsIo2///AvCHo2+SW1/U/Fhr1rWyaZRNmGWLQ7bPZUvZfmZHTeKy8LGYTbavVArsZ3bMW0R6jwRg1Zm7qTKmW5+Qs1EUE5L72C59HggEgt6BhIT4sOieSBLIIunxoqKW1G1uN8payvXHW22rMeact1+oZwqFuj0Y5Bq7Xtck686zn+Q3B5WkJqvO8e9TFfpTdvvSHnpL5Xk+no1Jrqdcf5wY7/Ft76BcGr1xhLC9ADzzzDMcGx2PUa1iYlQ8fxh1GUEe3rx1dIdD9oaFRDEwKJzf7Vhr97HfZh8nT1tNWUM9AwLDeGrENFKCwrlzw+c226g3G3lx70b2leYjozArNpm3pl7Lk9vX8G32cWSg2lRHgk8sZ+oL7faxM3w0XtzZ92r+dOJ/HKlOa96eqyu2y87ZohFgatgoDBYj28rtF7ZtiW9HqDPVO8WOLRypSUdWZEYEDWRvqX3HtivUeiFJfnOYHPkMACeqPmdv+b/a3C+t5jsOVryLwdJy0frBOIUrFQtqzQCk8L1gOopS9zcwn7T59aXgj5Dcx523XdFvRql+oEt2lIY1KDVP2GxDIBBcWCRJErq22yIhK7KrnehVaCQVCo6d8zDPIfi5xXCw4h2n+JLodwU1xlwqDLZfv7sjKtwbP2eEsBW0w5///Gfi3n4OlZcnJ6qsCuKxoRMdFrYLkodyqqqUwxVFne98DivSW+r40qrLya6tZPXV9zI4OILjlSU22agyNLD05N7mx0crignw8OTBIeP4Ntu6OpShzWV00GDr6rKTGRE4EEmSCHEP5D+j/oCX2oNTtdkszVpJubHaYbuXR05gS9kBDLL90evp4aOZET6GamMd+6tO8FnuWhos9n8o/HHQA7ip3ChsKOO7wk3sKD9ktw17qDLW0scnir2d73oe5wq1swXeuXyeNRe9pcomu2eL5rPJr9/BxsLFNvvXlp3sug1sKX7WZhs+mkjmJ3xz3vafCp6gULcbgBztBgqydjEj6uUObZllPXpLZfNjjeTN5TGvozOX4+cWg1L5EJLv3UhBS1HKpnJ26UFHKFW/QpHcWjaoApFCVqEY7F/4UnSfo2jPEuaK3m4bAoHgwiFJoAhp2y2RANlBkSVwDI1KAw5GyRP9rsAkN5Cn3dplPzzVQUR6j+RI5fIu2bm27yd4qAOoNxeTVrOK41WfOCzcE/yuINn/GmTMlDQcYn/5f6g2ZnV6nJvK23rnErn+C2F7EThYVoC/uyehnt6U63WdH3AWnmoNV8en8PqhbU7x5VhlCUaLhQT/IJuFbVscLCvgln5Dmx/vKj/CmOAhBLj7Qr0zPG0h0jMUCYmb467gncyv0Fn03NH3al5M/RW/PvAyZsX+VN1k377E+0TzRtqndh+7uWwfJXkVVBlr6esTxd3x1xDvE8Ozx2wv+NdbDLyX+Q0narNQkBkXkspTA+/ln6c/YnPZPrt9spUMbR5jg4egwh0Z+wT9uUKtSeCdzeSIZ1BL7jaLWoBNRb9HdZZQ81QHMK/PcnLqfrbLP2gR301YHEytWZ//a6qN2c2PjZbas2wasVgqkRX70s8D3PvgofZnX9m/mRT5exT3ISjat1CFrkZRR4ElzzZDSk3r1ETPudYLkn6dXf5YbTWAXG7/cQKB4KIgSSIVuTsjUpEvLmpJ5dBCj4Savr6XkVe/FbMTBFy87yxUkobsuh8dOr7BUsHBincp158AFOJ8JjMi5AF8NGHsLvuH3fby6rdRpj9OvakEP7doUoPv5qrYt/k+9x605o4zKTUq66hOFPuDPN0RIWwvAoODI9CbTdTa0Ym4iavjU/BQa1iZ7ZxGM/0DQ3FXqynVdU19Dg6OoLShxcaWsv38KvlWAtx8u+rieUiShJtKwzuZX3Gw+hQAfzv9AR+O+zOpAcnN2+zhisjx5NQXkq490/nO5/BjcUvkPVdXRGFDGf8c8RRJPrFk1tvWxbnWXM93hS2dqjO0efhovLkhbtYFFba7K44yLiSVBL9ZZNb90CVbTQKvCQ91IJHeo9hR0nEk81yMcutU7AS/WZhlA2e09gvbc8W3oxgstU6xczY1xlz05ip83SJRFAU8ZiCpY1BMaWBxPIVf8poP+jVWkWovXtcgeV0LlnIwbkHRvgWKk1emBAKBw0gIXdt9EanIFxs1jqUiR3uPwUsT7LAQPZdE/yso15+k1mTjgvQ5FOp2N2eBWR/vwawYGBS4gCOVy2mwVNhlb0/Z6833S/WHKdTt4bq+nzE46DZ2l73W4bFuTcIWB75DdEN62NTd7o9Go2HRokX0Dwqnj28gC/oNZfGIqXyWfhijA02Abu43lB9z06g22L/C1Mc3kMeGTiI1JJJYnwCmxyTyn6nXcayimH1lto/RuTFxCNckDCIpIIRE/2DuHzSWewaOZvmp/c377M0Mo9ZowFPlRUWNc8VtpdGa+np2TW2tSUutSUuYZ7Dd9jxUbkwJG9VKoHaFTG0eJtlMlFd4l+ycrs0h2jPMKT61x9ay/SiKQh/fqU63neR3FRZZ75AgPZtk/3nkaDc4tKqa6HcFCxJ/4No+HzM69FdoJG+HfLgs+hVuTljDVbFv09d3hkM2zsWs6Fhf8CsS/C4HQHKfAB5TUKruBxxsEOY2FMltAEqD7d3Bm1Aavkep/j+UyjtQ6v8DHlcgBYqxFQJBd6IHNiXtNUiARQjbi4pKUuPIUk+C3xXoLdUU1O/ufOdO8HOLIcxzsNNEchM5dT+jkjQEe5w/vcNeGiwVlOqPEOI5oNN9NVKjsJVFja2gDRRF4ZFHHiF58CBUkkSutprXD23jw9P7W+2Xc9fTLN6+hq8yj7ZrK8EviLERcdzx04o2n5+flMprk+YS/+Ff23zeJFuYFNmXe1NG461xo6i+jk0Fmfzz8LZW6TMrrriNfG0Ni3esadMOwK9TJxLj449FUciureSpHT8019c2UaKrIzkwlCEhkWyu9afKVNuONfs4WWutEYjxDqeisabWV+ONv5svZXr7o2qTQ0fiptKwudSRStPz6eMdhZtKQ5Wxa53tknxjqTI655y1h142orPoCfEY6HTbyf5zyar7qXlmmiOEeqQQ5JHEjpK/2H1sVt2PaE2FNFgqCXRPZGToQwR59OOngt/YbMMsN7C37F+UNhxBaUwPmhr5J7aXvERW3Xq7fTobteTOxIgllOqPYJS1hHj0B3M6UtC7KBU3ggONGySv+Sim02A6Yr9DDWfNRTano5hzUIWuRNEMAvMJ++0JBAKnIyFZMzwE3ZKOamzPHg34Uc5qvshrfQ25PGI886KnE+Mdjs6s53RdDi+dsK+x0ZCAfrw89PE2n8vXlfDw/pfssjczfBy/GXDHedu/yvuJ5Tmr7LIF8N6Y54nwDDlv+w3bnsCkWPtKjAxK4YUhjwDQYDFw8472e2uoJRWKneVnasmdOJ8pZNetR3F0EfksEvwuR1YsZNdt7LKts3HVGlZLKvKlEbEVwtbJWCwWRo4c2dw8qi1ifQIwyRb2lXYcNc2uq2pXtALE+gawqzi33eeLdHUs+LHzGtJY34AOBfbXWcf4OqvjVGh3lYoEf2v0dGxEHMvDX8KkmCnTV5GuPcO+iuPsrDyMUbatQc7ZFDaUsav8CA8k3shb6SvQWfTcHT+PAl0JR2rSOjdwDpdHTmBXxRHqzPbVO4O13nd6+Gj2VR6n1lRPnHckCxOvJ1Ob1yzAbeGy8LFYFAuZ2nwUFMYGD+Hq6Gksz7b/wmEvuboiBvrFO9VmmOcQAj0S2VryYpfs9AuYR5Uhk3IHugym17acu2pjFrWmPOb1eZ9gj/5UGmz7PTHINZyobukYXmE4hbvaj8FBt3dZ2Cb4XYGvJoof8h5gSNAdhHoORNZ9gxT4T/CcZU0ntgtP8JzbuvlTVzAfR1GMoIkXwlYg6CZciIaMAufRWSryiZpMlmV/S5mhdd+JW/tcxbUxM/gibz1pdWfw1XgzKijF7tfP1Oaz+NDfW23zVnvy3JCH2V/l+Of4s0f/jc7SkjVVYah22Na2soN8W9A6k6tJ1AKcqs1m8aG/c0XkBKaEjerQllpS252KHOczBXe1T5fG8pxNgu/llDQcpMHi3P4U8X6zkBUzFTZ+X+kIL3Uo4Z5DyarrvPeGm6pJq4jmUQIHmRaTwGdph8ips73BTltMjU7ghT0bumQjyT8YrcnA1x0IW1v4+doH0ahUKMCG7Awq9Q2MiIgizi+IaWFhTA8fg6Io1JuMnKmpZl9xAenKDg7XnLbJ/j/SPmJR4g08N/ghZBSO1WTw3LH/tEoD+n7Km/zz9MdsLG0/1STaK4zBAUn88WjbKZdNq5Xztv66zefNsplhgf2ZFz0dL7U7ZYZq9lUe57Pctchnpcf8JfUxSg2V/DPt43Z9ubnPbMI9gpEVmYKGMt5I++SC1tc2cajqFCn+iUR4DqdEf8gpNpP951GhT6PSYNv/Z1uoJQ8SfGdxqPI9p/hUaTiNRTHh7xZns7BtizL9cZL9r+myPxrJs/GCrJBVt46RIQ+B5xVY06oc+PLqdRVI7tDgpMUQTTKS5I5isXMWlEAguGCIrsjdm85SkevNDZyuy2m1LdYrggV9ZvPCsbdb9QjZVWF/5k2DRX+e/Znh41BLKn4pdfz7RKY2j1qzc/otVJvqzvPxbHSN72GkDcJeJUkodqZ/J/hdgdZUTKn+cJvPDwteyPCQhXyVfQP15o7HSAZ79CfQI4HjJZ+1u8/dyTvIqF3D9pI/t7vPrOjXKWrYR7XBGhCJ851Mf/9rOVn9Rav+Hrb4luB7OTE+EynQ7aTBXI6vWzSpQXehIHO8qn0/m2hJRRYRW4GDfJJ2yCl2blj7UZdtZNZWcuX3y7pk49WJc4j1C2BjTiZ/2r6JWqOBKn3LH4i/uwdzkvozvU8Cg0Mj6B8cyuCwCGAkiqJQZ64nT1fM0eoMPNTubb5Gg0XPm+mf8mZ62xHocI9gzLKFE51ETQsbytoVrQDhnsEcrW5/Rmu5sZrfH3mjw9dosrOxpH2B/XPpHn4u3dOpnQvBptK93Np3Dgl+lztF2GokL+L9LuNA+dtdshPvOxO15EZWrQPdfdsg0D0RteRGg9m+JgznEuLR3ykrs4W6vYwOfZRxYYs5Vf0lYELynA1YwGh/3Y/kdRPoN4BSbb8z6jjwvAYMv4BSBep+SP5Po5iOg+mA/fYEAsEFQRLdo7o1jjSPmhkxjuKGCocaX9rCtPBRFOhKSde2n9HXU1FJKhRsn0jgrvIjxnscJ6q/aHcfjcoTi2zAKGs7tZfgdzkW2cAZ7ea2bUnW6GeDueMyuRrjGZL95+GjCUdCosaUx56yf3GqpnW/DFt8qzMX4qMJY2zo47ir/TBa6ihq2M+hivfQmjsfE6oWEVuBoIXbkodzU1Iq6ZUVLFy7ss19ao0GVpw8yoqTLVHhvv6BLJwYzrDAAfTxiSLFP5HBAf0ASPbtwzXR0zlWk8HOisNsLd1PtbnjD5yRQSmsL95Okb6sS+9nZFAK72R+3SUbsV4RNFgMXRau08JG82jyLbir3MiysduyLRTpy7EoRiK8hjvFXrzfTCQ0ZHWxkUJywNXk1m/FINtfZ+znFkOC3xUU1O9Eb6km0D2B0WG/pkJ/mlK97avgSX5XIWOmUp/WWGM7iYGBN3Gg/D92+3QutaYzbCx6imHB9zEn7h1ADZIPSuUCkFt+b1WRacg1v4OGtv+eAFDHI7mPRq68p+3nva5HFfAKcnH/tp9XTEgeE8DnLpB8wFIEhs3WrshnpXlJwR+BpQCl5mm7369AIHAGktC13RhHhO1A/3jO6ApZEDebq6On4aPx4nRdNu9kfk12fUGX/Al082NoYH8+z+1a6cxbo5Y09zFZX7yDb/I3tMpKs4fpYaOZHTkBsyJzvCaDD7K/44yuc8HVFipUyG3UyUpISKjPq6E1ynV8nDm9Q5thnoNJr12DyQZhu7/83+wvb3+0Y6jnYCyykVM1X3VoZ2/5P9lrw3q5Lb6V64+zvuBXnRvDOvbo3PIGjeRhvaPYX57XHRHC9gLx3WV3c0qpYX3uabYUZl+SI7yHecfy0vjZ1BkNXPu1fdHjM7XVPLuuGmhJER0ZEc2NAwYxMjKaWN8AhgT0IzUwmfsTb8RgsVCoreVIaTEbz2TxU04GyQMzm49dV7zdKe/pt4ftnx92LvkNJfz6gH0jb9piT+VR0g7kANZ0JmdS1FBFuGcsXxWPYn7k/s4P6IBk/3nkajefN7anibuTd7Ct+KUOxwv5u8UR4TWcHwvaboKR5DeHyZHPsDx9YpvPWxQTUV6jSQm8GTfJi3pzKfn1OzhcubRVPc7smLfQmos6TBEaGnQPPm6RKIpMrSmXHSV/6XJ9bRNFur0U6axNy+6MfhyVz4LWqb/qGBTFBMZOoqaWnPZFKyCpY1E6igLLxSiV5zcIOQ91DErDN53vJ+g1pKWlsXPnTgoLCykrK0Ov1xMSEkJYWBgpKSlMmjQJb2/HupELzkeSQPSO6p5IkuRQV+RAN38SfeLo4x3FfzI+x6yYubXPVbyY+igP7n2Reovj1/spYSNRS2p+cbCsqdJYwydn1nC6NgeAsSGp3BF/NSEegfwv0/7u+3sqjnK67gxlhioiPUO4OW42rwx7gscPvkKJ3v5sqvZSkWN9JnJX8lYOlr/DkaoPbLeHhiD3ZLYW/8luX9oi3GsomXVr0Zm7FmQB5/sW7T2Oy2OsY4FMcouITfKbC4Ac+C6SJCGhQvKqBYKc8roXGyFsLxBxIQGMCE7g1v7DURSFKkMD6dUV7CjOYVX2CbK7WF/ragLdPVlx7QJkReGGlZ+hM9vfFOpcDpQUcqCkZZ6nRqXisr6JzOqbxIiIKGL9AkhIDuK6/oNQFIUGi4EifRknarLYWXGYozXtpxD3RBosBhosF6b9+onaTGK8wglz7/oH19r8B9t9zkcTiayYO42a1pry2hWtAL5uURTr2hd7OnMp6wse7dRXX7coMmrbF9iZdWvJrFvbqR1bGBB4A8kB8/gh7wGqjW2kyBvWgs8C8LoO6v9r3eY+BXRfgMX++cqtcJ+MUte+eLcJdSLI9dDwbdfsCHo8O3fu5J133mHdunWUlnZcg63RaBg5ciS33347d955JwEBARfJy0sTCUnU2HZD3FXWaZmORGxVkoS3xpPfHv578xjDjLo83hv7PLOjJvJNvuPddqeFjSa9LpfCBseE1cHqU61SpA9Wn8IoG62NrnLX2z3t4p2slgy4E7WZHKw6xX9HP8MNMTP5b2b76cHtoZJUyOeMztxZ+ipuKutimr2CUsbMZ1mX2+1HexypfN9ptpztW5n+KKtz7wNoXvAfGDCfEM/+KIpCpaEIg1KPWTZRre25GkUI2wvE1Of+R9C0AOYlpDA5KoGBQWGMiYhlXGQcTwyfgkm2UFRfx7HKYn7Oy+SH3JNOEYcXi9VX34unRsOvf/qejKqu1TC2h1mW+TE7gx+zM5q3BXp4clVif6b3iWd4dAh9vaNJ8o1jXsw0ZEWhzlRPrq6IYzXpbC07QF5DyQXxrafTYNYjSRLvjX2eOtNCyvUnya/fQa52CzJtj+vpVKi1QYzPeNJqvqPO1LVU6mjvcew9awC5I/i79cUk67osXBP8rmBC+FOoJQ8qDW0vpmwtfh61ypreU29q53fQuANFkZE8JqE0CduGFU75CqtULui6EUsWSsW8rtsR9Fg+/vhjXn31VY4fP95q5Iyvry8hISEEBwfj5eVFZWUllZWVlJeXYzKZ2L17N3v27OHpp5/m1ltv5dlnnyUuLs6F76TnIubYdk/cVNavzxYH8vHqTDqq1LXNohagylRLvq6EPt5RDvsU6RnKAP943st0bpbNtrKD3BA7i0Tf2C51Wgbr+zxRm0WSr2OfByokzOekG9eaLr1a4guBSdZRYWhZtBgUeCujQ3+FUa7lm5wFpDe09LjRa22vY+5uCGF7AandZeCTXYf4hEPN20YnxnLFsGRGxEcTFxrIVX0GMKfvQP6mzEFnMJFbXs3+7Hy+qz/B3k7GAbmEeg3L595IrG8A7x7ay+rMrrclt4dqg57PTh7hs5MtEcC+/oHM6zeAiTF96R8cwuDGFOZb+87BLMuU1ms5UVFGpvkA28oOdFqve6mTGpDMvJjpyLJMuaGOAPdoEv36kOR/ZWMk3EiBrpJj1XlsKT3JzvJ0vNU2CLU2SKv51ik+r81/oMs2ak1nWJV7Z5ft5Gm3Ua63znA2Wtr+XdJZyulsXN5HdaHcHFqFSj0Aty57JRA4j82bN7N48WIOHjyIoigEBwdz4403MnXqVMaNG0e/fv3aPE6r1bJv3z52797NqlWr2LlzJ0uXLuWTTz7h8ccfZ8mSJfj5+V3kd9OzEXNsuyduXYjY5jeUEO4ZfN72rv5fTwsbhUWR2VretfKi83Hu6kpXrEkOzLEVnM/goDsYFfIwDZY63kp7GL3cduPWnogQtheZfVn57MtqEaze7u5cMSyZqSnxDI6NIDkqhJTYcO5gJLKiUKGv51RVGVsKs1mVfYKSBteKsv8bM5GpcfHsLsznzzt/cakvTZypreatA7t560BLTeHoyGiuSuzP6KhYEgICmdk3kVlSEg8kzcekmCnVV5Jed4Y9lcfYVX4UMz0nWt4V4r1j+NOQR7EoMrdte5MzOmvajr/Gm8siBzM+tD8D/KOI9w0j2T+K6/uMRVEUTLKWGlMepQ1HyNX+0m7b/N6AWdFRZ3JOk4UKQzox3uNQ0EAv+R0UdH8uu+wyAGbPns1DDz3EnDlzcHPrfPnF19eX6dOnM336dH73u9+Rk5PDhx9+yJtvvsmrr76Kt7c3f/zjHy+0+5cU1nE/9rHiitsYH9kHgNcObuGtozsAmJ+UymuT5p63/3+P7eSVA/Zdz8dH9GHF7NvafC6zpoKZ371rlz1n+gaw7YaHifU9Pw1+wMd/w9CYyjotOoHls6zZLfUmI4M/s73HhptKDXQ+7qct9lQeY2bEOPp4R5Hb2EQp2D2AWO9wNpTsstteE1PDR3GsJp1Ko/0NGDtiSthILIqFTG1el20Fu/uT4p/IptK9Dh2vkiRkca3sEqlBdzMi5AF0llreTHsQo3xpNI1qQghbF6MzGvl273G+3Xu8eVt8WBCzZvdjQlRfkgNDmRwVz5ToBJaMmoFRtlCgreFQeREb8jPYkJeGUb44rakui03i16MmUKqr59bvVlyU13SUfcWF7Ctuqdd1V6m4Z7IfY0NSGeDXl3DPEGK8wpkRMbYxSqmnsKGME7VZ7Kg4zPGajA6s90zC3IN4bfiTSJLEA7v+1yxqAWrNOr7N38u3+S0XmwjPAGZGDGFsaD+GBQYR4jGAMM9BDA66BUWRMVhqqDGeoaThEDnan6kyXnrn7EJTUL+DWJ/xKB4zweCcBlUCQVeZPXs2zz//POPGjeuSnfj4eJ599lkWL17MW2+9hY+Pj5M87GU4EMXbW5rHX/ZtorD+fJFz14bPqTO29G8o1rXd+K8jjlUWc/0PH7ba5uvmzgczb2ZzgW2lKm3hDN+aWJNzivdOtJ5OYDirPvNAWSHX//AhC5KHMS++8xmqZ+PeLGztjx7uKj9MRl0uS1IW8fGZ1ZgVC7f0uZIak5b1xTua97u1z1Xc1ncOC/c8R6mh4/ExiT6x9PGO4tv8n9vd5/spb7KxZDf/TPu43X1eGPIIh6tPc6beKrjHhaQyO3Ii3xf+QrWp5f/CFt+mho1idPBg9leeoNJYQ6RnCPPjrkBW5A797AgJCVlEbB1maNC9DA9ZhN5SxZtpD2GUL40RP2cjhG03JKesivc+3st7WEWGSgWT+icwa2gSw/pEExPsT0JiMDckDbHOgdUbyCmtYm9mHusOpXGqsIy6oc5tOhTnG8D/pt+AwWLh6q8+7HFdno2yzDtbaniHbcA2wFqv2zRfd1BoOH29Y+jn14drYqYjKwpV+gbSKyvYUZDL6oxT+MQdcul76AoNhgjeGL8YN5WGxQc+4lhN52nuJfoaPj2znU/PtHScjvcJY2bkEEYFJ5LoG0GY11AivIczNOQeLIpMpUFLlraEfRWZRLq/h9Zc2MErCLLqfmRs2BPgebkQtoJuw9q1zmmg1oS3tzdPPfWUU232FiRJcuh6W2s0cLC87c/foxXFVBm61mlfazKeZ39+UipqlYrvso+3c1TnOMO3Jsr19e2eA4A6k/UcTYtJtNu2Rt2Uimz/ooOMwvPH/8uixBt4NPkWNJKaYzUZ/O3UBxjklh4Xnmp3jLLJpqkI08JHYZRN7ChvO5vKQ2VNNa3qJJqbryvhioiJhHoEIkkSBQ2lvJf1Dd8Xto6a2+Jbib6CUPdA7k+6AR+1N/UWHUeq0/nkzBpKDI71ZrEKWxGxdYQRwQ+QGnw3WnMVb6Y/hPkSFLUghG2PQJZh66lstp7Kbt4W5OPJlcMHMHlgAgOiwxgcF8HQvlEsvGwsFlmmtEHL8coSNhdksTrnJNVGx3+B3VUqVs29B7Wk4vbVn1OmuzTSFqoNej49cYRPT7TU6yYEBHF1vwFMjOlDclAoY6NjGR8Tx/+NnYRZtlBprCG7voADVSfZVnaQ2h5Qr+uu0vDBlMfx0Xjw52Mr2Vbm+FD4nPoylmZuYmnmpuZtQwJimR4xhOFBfenrE8bYkH6MC00GrkRWzOjM5VQaMijS7SGnbiN6ued223M2RrkWWTGh8piOgju007hLIBD0TiR6zrifaxIGkVVbyZGK4s537uG42RqxlaTG2autlydqTFr+fvrDdg6yMsAvgQ3Fu2wa//N+9ne8n/1d+7b84zHJJlYXbunQzrtZX/MuX3e4j62+na7LYcnRNzq1Bdb5tCobOqVZx18JYWsvI0MeZkjQHdSZK3jr9EOYL+HvGkLY9lCq6vV8tv0wn21vWZ0bHBvB7GH9GZUUS3xkIDNj+zErLpkXx12B3mImt66aA2UFds/WXXnVXQS6e/LSvo3sKeqGDa2cSHZNFW/u38Wb+1vqXMZExnJVYjJTEsOI9gpjbPAQxoWk8lDSTRhlM2WGStIa63V3d7N6XRUq3hq5hGB3X/6b/iOrChybbdcRx2ryW0WAVagYE5LII8n+hHum4ucWS5zPJPr4TmZs2BPIiol6cwkVhtMU1O/ijHYz5ktkMLi9+GniUEluSJI7RBwFpR4seSjGw2DYBMatiNpbgSu47rrrWLRoEXPmzEHV2ChHcPGRkM4TRV3lx2sWEezhRUF9LSvSD/H28d0ORR7PJtTTm4mRfZvrebuDb9clDOaW5GGYZZk9JXn89cBmTld3fb4oWMcRQufCdkzwYL6b8i8+ylnNF3m2Z+VoJDUJPtH8/fTyLvnZxCD/RDaW7KHCWN1lW872bWRQCi8MeQSg0xGH1r8HcU20h9Ghv2ZQ4C3Um0t46/SvLmlRC0LYXlIczy/heH5Lx1p3jYoZg/sxY3ASQ+IiSAgKYkBQWPNs3WqdnsySCnan5bLm4ClOxJw/n/CVCVcxOCSS79NPsXTfoYv4broPe4vz2VucD43Xa3eVilnx/bgsPpHh4VHE+gUTEx7OZY31ulqTkezqKvYVFbA2K916LJA6pIuzSe2kpN6PDyc8SqRnKJ+f2ckHWRen2ZeMzO6KDHZXAFhnz7qrNEwKHcCU8IEMCoglyiuCeN9YEvxmMUn5A3qLiaKGKo7V5LG99DTby09zf8KGi+Kvq9Aqw7it778AheNV29Go3YjwjMdX0w+NTwr43IKiKBhkHVXGYvJ1p0ir3Utm/SFA5plQxyPvAkFnrFq1iu+//56IiAjuvvtu7r33Xvr37+9qt3ofEjjQn6hNShu0/OPQVg6VF6IoCrPiknly+FQivP14bs9PXbJ9dXwKGpWK77IcS0N2tm8/5aVzqLyQwvpa+vgG8ujQiXx55e3MXf0+edoah3w8m5aIbfui+98ZK/BSW6cJVBjse02zYmHBTuel76/IXec0W8727WRtNk8cfBWwJbVbpCLbw5jQ35ASeBM1plLeSnukVywKCGF7CWM0y6w/nMb6wy0jeaIC/bhq+AAmDOhLcmQIIxNiGJ0Yy6NXTsRksVCks87W3ZCXjq+bBzf3G0pGVQW/3rDahe+ke2GUZX7ISuOHrJbzGuzpxZyk/kyNS2BwaDiDQsMYGh7JfcNGISsKlQ0NFBrzOVKdztay/RTqnbNq3BH/GnUPAwNi+KnoCP845dr/P6NsZlPpcTaVtnzp8dV4Mi1iEBND+zPQP5pY7xASfMO5JnZ0Yyfm31FnyqdUf5R87TYKG/ZBj6vubht/tz7c1udfqCUNK3L/THpd6w6RfpoQBgVMIsFnGBGe8YR79iXKK4kxIXNRFAW9pR5JyUYxHgT9BjA53klTIGiLxMREsrKyKC4u5tVXX+XVV19l0qRJLFy4kJtuuglvb29Xu9grkJBQnDLdGrYUZrOlsKWkaWtRDnqLmYUpY3jr6A7KGuodtn1dwmCOlBeRXedYqYmzfXthb8vC6N7SfLYUZbPx2vt5YPA4/rj7R4d8PBs3GyK2BQ3nBwsE59Ng0ZNhY8dlCbAIYWsT48IWMyDgeqqMxfwn/dFeIWpBCNteR1F1Hcs272PZ5paU1DFJsVw+NJlhKVH09Qtqnq2rKAqyInPNVx+50OOeQaW+gY+PH+bj4y2p4YkBQVzdb6C1Xjc4hCEByQwN7M8d8XOb63WztPnsrzrB9vKD1Jmdl477RP87mRDWn/2VWfzhcPfsYK0161lTcIA1BQeatwW7+zIrcghjQ5MZGRREkEcSIZ4DSAmcj6IoGOVaaoy5lDQc5ox2MxWGrg2LdwUBbvHM6/M+kqTh8zMvka49Pz28zlzB7opV7K5Y1bwt0C2CFP+JJPgOJdyzL56aFFRuqeBzl3X2oVID5hwU4wEwbACT89POBb2HjIwMtmzZwrJly/j666+pr69n27ZtbN++nccee4xbbrmFe++9l/Hjx7va1UsaScL+eT92sCbnJA8OHsfgoAg2NzjWzbiPbyDDw6J5ce/GbudbE2UN9ewrzSc1ONIpvqklq7A1iw69Fx1ZMbnahW7PhLDfkRxwDbWmPP6T/pteI2pBCFsBsDczn72Z+dRlWmsb/DTuXB0/kL9MuIpinRaduff8QTiTrJoq3ti/kzf27wSsqciDA/oxMWQYg/wTifIKY1xIKuNDh/JIvwUYZROl+grS6nLZU3mUPRXHHarXvSf+WmaEjyG9tpiH97zn7Ld1Qak0avkidxdf5O7i0aTNAPhqoon3m0mU1ygCPRIJ9RxEuFcqqcF3oCgyeks11cZsinUHyNFupNaU69L30BFWUfsBKknDinZEbXtUm0rYWbGSnRUrAXgm9BSKKh68ZoP7OCRNf3BLReU+HHzvQ1HkRrGbhWLcD/qfwNx75w8L7Gfq1KlMnTqVt956ixUrVvDBBx+wY8cO6urqeO+993jvvfcYOHAgixYt4o477iAsLMzVLl9ySFi76F44+5037OmMaxMGYZFlvs856QSPWnCGbxfKni0RW8GFQelFIs0RJob/gX7+c6gx5vBd7p3IBLvapYuKELaCZvyOeDTfX33gNA8lTyA8wNeFHl1aHD3Wl6OYWME+wCpomup1Z8YnMSw8kli/UGK9I5kZOQ5FUdBZ9BQ2lHKiJovt5Yc4WdfxqvXM0Cu5IXYmxfoa7tzx1kV4VxeOf2dOP+tRXuPNSn+/KC6LGMyI4AQSfMOJ8BpJlPcoRoTej1m2YLBUUGXMpEi3jxztBnTmC5/63RkB7glcHWeN1H6a8ycy6w90flAHvFQ+sPHeL403K2HufUgJmEBfnyGEefTB220EKvdR4PsAiiKjs9RRbsgjTtkC+vVgdu6XUcGlh6+vL4sWLWLRokWkpaWxdOlSPv74Y4qKijh58iSLFy/m6aefZt68edx3331cddVVSDZ0OBXYgnRBI7ZXx6dglmWOV5Z0vnM7XJMwiF0luZQ2OHdKgDN8ayLcy5dR4TGsdLAG+FxaamwvjfKYnoIkSVh6cMRWgycalRduKm80Ki/rfckLtcoTjeSBRuWFWvJArfJAI3lY70vuaCQPVCp31JIbaskDleSGWtKgktxRSRpUaKgxBRDnE4KbSkOJPof/ZTwBvUzUghC2gg44kF3AdWMGE+XjS1F99x9r0xNpr153br8BTI2LZ3hkCIk+sST79eXa2BnIikytScsZXRFHqtPYWnaAIn05ANPCRvP4gDnUmHQs2PpPp3fS7E6k1RWRVlfUatvwoHhmRAxiaGBfkv0CifEeT6zPBMaE/RqLYkJnKqPSmNbcidkodzzPz5kEuCcwr1HUfuYEUdsRZcZcyspyoezz5m0Rnomk+E+gj88gwjzi6OM9CEkaAr6PoCgWkKtQzBlg3Av6tWDJuGD+CXo2/fv355VXXuHll19m7dq1LF26lDVr1mAymVi5ciUrV64kKiqKe+65h3vvvZekpCRXu9yjkSScVmP74ayb2V50prkz8OWxydzafzjvn9xHmb6lhvU3wybzm2GTmfz1f8mv77jp0eDgCJIDQ3n3xJ5298m562m+yjjK4h1rLopv18SnMCM2ic0FWZTqtMT5BfLIkAnIitKhn/agborYyiJie7HwbJzFK8ttC1sVGjSqRuEo+VjvS9bHGskTtcoTt8afaskdTeNP680qIK2C0SogVWcJR7WkQWoUkCpJgySpUKFBktSoUCFJaiRU1qwAqfEnUvNPwCmLfUpzcy2l8XPB+lNRZLw1EhpJjaIo/C/jsS6/Vk9FCFtBu6w+cJLrxw7hpoGpzem0ggtPpb6Bj44d4qNjh5o7Kcd5RTA5dCSpgcn08Y4iNaA/wwIHcGf8PGuEUjbirfakwWLklm3/Qi9f2u3c2+JQVQ6HqnIAeDRpMyo0RHmPIc5nCmFeg/Fzi6GP2zT6+k5nQvjvsCgG6s0llOtPUlC/kzPaX5AvQBv8QPdEro5bhiSpL7iobY8SfRYl+tbR/mci3cHzCiT3UaBJQHIfi+QxHvx+3Sh2K1DM6WDcAw3rQM5ux7qgN6JSqZg7dy5z586loqKCDz/8kPfff59jx45RWFjIyy+/zF//+lfMopSlSzhzjm1mTSULkocR5e2HSpLIqq3kT3s38MGp/a3289K4YbCYqTXqO7V5TcIgDBYz686cbvN5L40bAGX6jhfHnelbnraGKG9/nh0zC393D2qNBnYWn+Efh7aS74SOyABuUmPEFiFsLxYjA1MASA6YR7+Aq1uJRui6cFRa/aGdJRwVGQW5UUBarPcVCzIWZNmESbEgY0ZRzFgUM7JiQsb606KYGn8arTfZiEUxYFGMmGUjFqXBel8xYJYbsCh6TLIes9yAWWnALOsxyTpMsq7T7yf/zpzOuhlLkHt5FoEQtoJ22ZORj0WWmd4nQQhbF3H0WF/rT+AHTgAtzZLGR8dyZWJ/RkfGMCg0HIAHd79DpVFE11unMe9pvFlXfKdGpDAxtD+DAmKJ9Iom0a8PSf5XoigKDRYjBboqFHk3ebptFNbv7lLThSD3fsyJW4okqfk053my6g915W05lZeKjcDqxpuVWK8UBvqPp49PCsHuMXi5T0TymAR+TyArFrRuuUCiq1wWdFNCQkJ44oknePzxx3nxxRd58cUXkeXe/eXKaUiSQ8JWAtSS1GoczQt7N8De9o9pYkRoNF9kHKHW1PFMUYCX92/i5f2bOrRlsJhZfqrjBT1n+nawvJBbfvy0c2NYz5EjtbfNNbbi9/yi4Cf1Y3HKPSiKQom+lsKGKkyyGZNswShbMMomjLIZo8WMofG+wWJGbzFikM3oZRN6sxG9xYTOYkBvMdFgMaIzG2iwGGkwGzF3iyw3DeDbeLMflSRh6uW/k0LYCjqkpEZL/+AQV7shaINdhfnsKrTOyL06qT9vXXENqUF9OX1Oiq6gBb1s5Meiw/xY1NJEyV/jzWWRgxkXmsxA/2jifUNxU11L/8BrG8cOaak15VPacIRc7S+U6A/Z9FpB7v2Y22cpEio+yXmO7Pru37gpv+Ek+Q2ta277+qQywG8ccd4DcZNEzb3gfNLT03n//ff58MMPKSpq+fzx9PR0oVeXBtamyPYr28ti+5F55+947eAW3jq6w+bj3FQqUoLCeWLb93a/ZluMDo/l68xjFOvqumzL2b5Ni05g+awFANSb7MvWaUpFFl2RLzzRnmG8MfIRVJKKR/a8x/4qkT3UHipJ1evrvoWwFXTI4TOFXDlsAIEenlQbOk9LEriGddkZKIrClLCBfJUrZpraQ61Zx7f5e/k2vyVc8NsBx4n3nUWU92iC3JMI9kgm1DOFQUELUBQZg6WWGmMOJfrD5NRtosqY1spmkHt/5vZ5FwkVH+c8R079kYv9tpzGmfqjnKk/CoBe23Obdgici06n4/PPP2fZsmXs2GEVTk2pfMOHD2fhwoXcfvvtrnTxksARYbtk1zp83Kz1iPYKSpMsk7ridbuO6Yg3jmx3mi1n+7a/rIB5az4AQLYzLN6ciiyE7QUlzD2If418GjeVmif3fyREbSeoJQmzELYCQfusP5TGVcMHcuOAwSw9sr/zAwQuwSzLVOkbGOAf7WpXLgn+dnowUAS0RAbifcKYGTmEUcGJJPiGE+Y1lAjv4QwNvhuLIlNl0JKpLaFMX8tVMcORoMeLWoHgXLZt28ayZcv46quvqK+vbxazgYGB3HbbbSxcuJARI0a42MsLj7+//zk1eZBVXsmcfy+3y871wwbx8nWzz9v+zra9/GPjtqbuUTaz7YaHifUNOG/7gI//hqGx0dG5kcrBn/3DLp8vFbQmI0crih06VqOypi9bnFUALTgPsymKtyY8ibvKjd8f/JTt5W3XcQtakJBExNbVDgi6N5tOZCIrCrPik4Sw7eacrChjYkwfVKgu6Y7IriKnvoylmZtYmtlSTzYoIJbLIoYwPKgvfX3CGBvSD0mSUBSFD3OeaY50CgQ9mcLCQpYvX84HH3xARoa1Y7aiKEiSxIwZM1i4cCE33ngjHh4enVi6dKivr2fmzJnE3fUw/n6+vHP79WzJyHHY3qKPv6FO31I3WlJn7ZVgnWNrH2tyTvHeOd1/DWd17z1QVsj1P3zIguRhzItPcdTlXo2medyPaI52IfDTePP2+CfwUrvz/JEv2VTqnDFNlzoqSYVZ1NgKBO0jy1CuqyclJMzVrgg64eczWUyK7cvk8IFsKT3R+QGCLnOiJp8TNfnNj1Wo+GLyb4jzCeFMvbgQC3ouJpOJ7777jvfff58ff/wRWZabI5SxsbHcfffd3HfffSQkJLjYU9dgsVjYvXs3FTOuZf64kahVKlYfPeWwvWOFJVQ3tF3uc25kuDPK9fUcLC9s9/k6k4GD5YVMixGN4BxFI2psLxieKg/eHv1H/DSevHL8O9YWHXK1Sz0GFVKvT49XudoBQffncFkxAR6eeGvEOkh3ZmXaCRRFYVbkEFe70muRkfm2YC+SJJHkM9zV7ggEDhMdHc2CBQtYt24dFosFjUbDjTfeyA8//MCZM2d48cUXe62oPZerUweSU1HFscISp9uWJOeN+xE4j5aIbe+OjjmbqoYg/jvqOfw0Pvzr1A98k++cucO9BUmSev1ii1Aqgk5Zm5nO5fH9mNdvIJ+fOuZqdwTtUKlvoMFiJDWwj6td6dWsLTjIr/tfyeDAKS6ZWSsQOIOKigoABg0axMKFC7nzzjsJDQ11sVfdjxBfb8YlxPH2lt1dsrP6kbsI8vaisKaOLw8c5b3t+xobGlnbR9nDdQmDuSV5GGZZZk9JHn89sJnT1WVd8k/QGk3jzFSz3LtFhDPRoOKrKf9HiIcv/0vfwKdnnNd4rLcgAaZe/jsphK2gU1ZnnOTvl13J7MT+Qth2c3Lry+nnF+lqN3o1FUYtZsVInPdAV7siEDjMokWLWLhwIePGjXO1K92auUMHoelCGnKZtp43Nu3gSEExiqJw2YAkHp8xkQg/X15cu8laY2tHyPanvHQOlRdSWF9LH99AHh06kS+vvJ25q98nT1vjkI+C82lKRRY1ts5BhYp/j36GCM8APszawrKs9mcjC9pHEl2RhbAVdI5HukSNTs+w4AhXuyLohD0VmQwMiCHFP4aTtQWudqfXUmksIsQ9xtVuCAQO884777jahR7BNcMHc6ywhJzKaoeO35Z5hm2ZZ5ofb8/KRW82c/f4kby9dQ9I9tXYvrB3Q/P9vaX5bCnKZuO19/PA4HH8cfePDvkoOB+1JGpsnUVJvR8rJj1OlGcoX+bu5N/p613tUo9FQsIk9+7FFlFjK7CJkwWlBPt6N69SCronPxQcBODK6OGudaSXc6b+GBqVG8HuUa52RSAQXCASExMZFhfN90dPOtXu2uNpaFQqBkaGOZCI3Jqyhnr2leaTGiwyeZxJS/Oo3h0dcwYfTniURL8IVhXs47WTq13tTo9GpCKLiK3ARjYdz2RC/75cEd+PH7LSXO2OoB2y6kswyRZGB4tul67kWPVWxoZczdDAGWwu/dTV7ggETsVisZCenk5VVRUmk6nDfadOnXqRvLr43HbbbVhkmbXHnHtNlM55ZG9X5PPtSZ3vJLALjWRtHmXu5dGxrvLXob9hYEAMPxYe5s/HVrranUuC3l73LYStwCa+33+S3183g6v7DRDCthtTmh1Mfm0tsT6iyYsreTtdzd2JMkHuEwEhbAWXBvn5+SxZsoRvvvmGhoaGTveXJAmz+dL94n/rrbeyOyuXUm29U+3OGTIAsyxzsqi0yxHbcC9fRoXHsDJLjB9zJmpVY/MokYrsECX1frw5+l4GBySxpfQkzxz53NUuXTIYe/nvpBC2ApvQ6o1o9UZGRES72hVBJ+wrzmf+gCGEuftRZqxztTu9lnJDHQk+4a52QyBwCllZWUyaNInS0lKbI4hdjTR2Z1QqFYMGDeL3X69pd59Tzz3BykPH+f137de2vnf79ezMziO9tByAywYkcfOoVD7cfZDyeh1I1uZRvxk2md8Mm8zkr/9Lfn3bTaCuiU9hRmwSmwuyKNVpifML5JEhE5AVhXdPiLEpzqQ3z7HVoMFT4467yg0PlRvuKjc81R64N953lzS4q9xwU2saH7vjplLjptLgpnLDTdIwM3wCvu6e7KnIYPGBj1z9li4JNKiQJFFjK4StwGYyissZFi+EbXdndcZpbhqYypyYESzP3uJqd3otJ6rzmR4xCI3KE7Osd7U7AkGXWLJkCSUlJYSFhfHXv/6V2bNnExERgVqtdrVrLsHNzQ29Xs/6Y6c5N3kYwMvN+vWqTKvr0E5WRRU3jRxChL8vKkkip6KKl9dt5qM9h6DJsgJeGjcMFjO1xvY/S/K0NUR5+/PsmFn4u3tQazSws/gM/zi0lXzREdmpNDePsiPtU4UKd5UbXmoP3NVueKgaxaFkFYFWkWjdZhWBjQJR0uCudkMjNYpDSYNG0qBRqdGoNLhJatSS2vq48b71pkIjqVE13ldLKlSShEpSoUbdeF9CQtX4U0KSJFSNP5tS2M9OZZck56W1Gy0mfrV3mdPs9XY8Ne4AGC1C2AoENrHlZDYjEmKYEtuXrflnOj9A4BJ+yctBVhTGh/UXwtaF/FJ6ghmRgxniP5lD1Rs6P0Ag6MZs2LABSZJYsWIFM2bMcLU7LsdgMBAQEEC/p/+C2tPzvOeHxUZhNJv5pFGgtsdf1m3mL528lqwojAiN5ouMI9SaDO3ud7C8kFt+tK30QX2WcBHYz8yYJADeG/0nAKswlCRUEo0CEc6tbnamKITWGRFK4+OWnwqyYr0vKwoy1p8WWcaiKBgVGVmWMSsyFlnBosiY5fNvJtmCSZYxWcwYLS2PjRYLJosFo2zBYDFjtFh/GiwWjGYzerMFo8WM3mKmwWzCYLbQYDFjMJvRm03svOshNhQfder56O14qKySztQLswjORghbgc18u/c4j101iWv7pwhh280p19WTLObZupQNxUd5LnU+A/zHCWEr6PHo9Xq8vLyEqLWRkXHRfHv4JCV12i5asoqhlKBwntj2fdcdA6ZFJ7B81gIA6k1Gp9jsTcyO60+MbwCKolCkrcMoW7A0isRmQWiRMcoWzLIFo0Vu/GnB1PjTKFswmJsEoeUsYWi2isBGMai3WIWg3mx9rsFsRtf4uKfi3pjGbezlTY6cjZdaRGxBCFuBHZTX6WgwmxkTGetqVwSdcKSshJl9E3FXaTD28noLV2GUzWjNeqK8klztikDQZRISEsjKynK1Gz2G/2zZ7RQ7UmONbeqK151iD2B/WQHz1nwAWG0LbGdEaDT/mXYdeouZ6Z8spUTX1YWL3oeHxio9env3XmfTnIosd9yp/lJHDCUV2EVmdQUxfv6udkPQCRtyMpAkiVmRqa52pVeTpS3FVxPsajcEgi6zYMEC9Ho9GzdudLUrvQ5na0+tycjRimKOVhRzvLLEucYvYeJ8A1gx+zYUFK7/4UMhah3Es0nYihnATsWzMRW5twczhLAV2MXW3DNoVCpGiu7I3Zrv00+jKArTwge52pVezZ7ydFSSij7eg13tikDQJZ588kmGDRvGAw88QHZ2tqvd6VVcyt2lewr+7p78cPV9uKnU3LvmG04VVLnapR6Le1MtaC8XYM7GszEV2dDLz6tIRRbYxZenj/HIqHFc338QB0oKXe2OoB3qzUa0Zj2DA0XauCv5ofAg9yfPYkjAVHJ1Yo6koOfi5eXFhg0buP/++0lNTWX+/PmMGTMGPz+/Do+76667LpKHlyYSEkqXJtkKuopGpeKnaxbh6+bOU5vWiR4jXcSjsZN6bxyVdCHxULkBosZWCFuBXWTXVGEwmxkfHedqVwSdkKUtITWwj6vd6NUUNFRhlk308RGRc0HPJycnh5KSEnQ6HR999BEffdTx/ElJkoSw7SqSqIN1NWuvvo9wLx/+eXgbX54WC5RdxVPU2F4QPNVWYauXTah6cT6uELYCu/DLVJNbXk3f0EBXuyLohF3l6QwLimd0cCL7KkXTF1dRbSwhyF10qBb0bI4cOcL06dOpr68HwN3dndDQUDQa8TXiQiNkrev4ZNYtJAeG8sXJo/xrp3MagvV2PNSiFvRC4NEobA0WE15C2AoEtrM3I4/kyFD6BYWQUVXhancE7fBDwUEe6DeLK6KGCmHrQvJ0JwnxiMFXE4zWXOlqdwQCh3juuefQarUkJiby7rvvMm3aNFS9OSxwkZAQNbau4rWJc5gUHc+2vDM8tXm9q925ZHBrTEU29cKI7X/HLmJUcCIAb6f9xLKsTc3PTQtP4e7E6cT7hmGwmDlSdYZ/p68nt77cJttNtcsG2YwX4O8WysyIu0jyHYmbyoMqYzGbSj7mdN2lvUDTY69KOp2OtWvX8tJLL3HDDTfQt29fpMYB2c8//3yHxz7//PPN+3Z0y8jIuDhvpoexat9JAG4aKBridGeK9NUYZTPDgxJc7Uqv5kTNdiRJYligmP8p6Lns2LEDSZL4/PPPmTFjxkUVtb39ei907cXniaGTuTEpldNVZdyx+ktXu3NJ4dXcFbn3CVuAQ1U53Lfzv3xfsL9525iQJF4ZcTu59WU8ffBTXjuxir4+ofx79H34qD1sstucimwx4qcJ5r7EV/FW+7Oq4E0+O/Mi+yvXoVG5X5D31J3osRHbPXv2MGfOnC7ZcHNzIzi4/VEcIsWqbY7nl2C2WJgS25eXXe2MoF1Ks4M5U1NDfECQq13p1fzrtJFb4xUC3acAX7vaHYHAIXQ6HT4+PowaNeqiv3Zvv96LGtuLy4K44Tw2bBIlOi1zv+i4jlxgP24qa8S2t6Yia016jtXktdp2ReRQihuqef7oV83bivTVfDDhEYYG9WVneVqndpsjthYzsyLvpdpYwidnXqCpmCGn/ojz3kQ3pvt+kttAUFAQI0eObL498cQTFBcX23z8xIkT2bx584Vz8BKmoLKWhEAxn7O7s6swj/7BocR5h5CnE2njrqLKqKWfr6izFfRc+vXrx6lTp7BYLKgbUwkvJr31ei+B6Ip8EZkWncDL02ejNRm5YsUHmGUxa9XZuKubhG3vjNi2hUalpt5iaLVNa2oArJ8BtuDRKGyRYJD/RL4t+Be9sUK/x6YiT5kyhcrKSjZs2MCrr77KLbfcgoeHbeF6QdfZn52Pp0ZDlI+vq10RdMC3ada08bnRI1zsSe/mdG0h/m5eqHr2WqKgF3PXXXdhMBhYtWrVRX/tXn29lyRkufd9OXUFA4PCWHrZTZgsFuZ88SG1RkPnBwnsxkPTVGPbOyO2bbEqfx8JPuHc3GcCvhpPorwCeWzgHLK0peytyLTJhnvjuJ8YryDUKjcUReaehJf5w+BveGLAB0wPvw2p58o+m+mx79AVK8aCFtYcOIUkSdw0MNXVrgg64EBJIRZZZlxosqtd6dVsLbX+vQz0H+9qVwQCh3j88ceZOXMmDz74IDt37ryor93br/ciE/nCE0Ug3151FxJw87cryKurcbVLlyzujanIBhGxbeZgVQ5PHfyYh/pfzs+znuW7aU8R6xXMY3uXYbKxFnlAQDUA40KtTSqvjnmUfN1pPsl5jn2VPzApbD6Twm68UG+h2+C08EFaWho7d+6ksLCQsrIy9Ho9ISEhhIWFkZKSwqRJk/D29nbWywlczJ6MfCyyzPQ+Cbyx/+J+yRHYR3G9lnjfMFe70av5segwTw26hhT/CZyo3eZqdwQCu3nppZcYP348+/fvZ/LkyUyePJmxY8fi5+fX4XHPPvvsRfLw0kWkIl9YfDTurL3hbjzUGh5c/x2Hy2xPcRfYT0tXZBGxbSI1sA8vDL2Z7/P3s7X0JL4aT+5Jms4/R9/D/bv+d16acltoJGtjKItiPa+Z2oNsKPkAgJz6o3hrApgUeiPbyr7iUk5R7pKw3blzJ++88w7r1q2jtLS04xfSaBg5ciS33347d955JwEBAV15aadw/PhxhgwZQmZmJmq1mpiYGKZOncojjzzCiBEidbMziuu19A8OcbUbgk44WFLE3KT++Gk8qTPrXe1Or6TOrKfBYiTGu7+rXREIHKKpuzBYx89s3bqVbds6X6TpLsK2J1/vRfOoC4cKWH/NQgI8PHlh28/8mN19u2NfKjTPsbWYXOxJ92FxytXsq8ji9VNrmrcdqjrD6hm/49q40Xyas71TG2rJel7rzdUA5GhbN4vK0R5hXMg8At3CqTaVOM/5boZDwvbjjz/m1Vdf5fjx463mq/n6+hISEkJwcDBeXl5UVlZSWVlJeXk5JpOJ3bt3s2fPHp5++mluvfVWnn32WeLi4pz2ZuylvLycyspKAgMDqa2tJS0tjbS0NJYuXcqSJUt46aWXOrVhMBgwGFpWUmpray+ky92K/cWFzOs3gEAPT6oNQjB1V9ZlnebqfgOYHT2cr3J3udqdXsuZ+jIG+Ee52g2BwCGmTp3aLGx7Il293rvqWm+dY3tRXsol+B1pXSutUalw12hw06hw16hx16hxU6tb3XfTqHBXa9CoVbhp1Lir1db7jY81KlXjfmrUKgk3tRqN+uz7KtQqCSVA4up+A3BTqXnn8F4+OHbQRWehd+HWOCpMNI9qIcE3nC2lp1ptqzbVU66vJcbLtgCSWnJDURRKDWfa2aNxYZJLuyGaXcJ28+bNLF68mIMHD6IoCsHBwdx4441MnTqVcePG0a9fvzaP02q17Nu3j927d7Nq1Sp27tzJ0qVL+eSTT3j88cdZsmRJp+lMziQ5OZlXX32Va6+9loSEBNzc3DAajWzevJklS5awf/9+/vznPxMUFMSTTz7Zoa2XX36ZF1544SJ53r1YnXmKa5IHcuOAwSw9sr/zAwQuYV12BoqiMCVsoBC2LmRvRRYpAbFEeiZSrM9ytTsCgV30xI7C4LzrvSuv9SE+XszpOxCNpMJdZRV3GpVkva9qFHKSdbtasgo8jaRCo1KhUanPum/drpKk5u1qSUJ91na1yrpNJUmopab71ues25oegwrrfUnC+jyNc4GxPkaytqqRkLCuiVifa1ogOXeZxFULJ3UGAy/v3OKS1+6NiFTk8ylqqGagf3SrbSHuvoR5+lPUUGWTDU1jV+QaUyml+jMk+A5jf9W65ucTfIfRYK6jxlTmPMe7IXYJ28suuwyA2bNn89BDDzFnzhzc3Nw6Pc7X15fp06czffp0fve735GTk8OHH37Im2++yauvvoq3tzd//OMfHXsHDnD77beft83d3Z0rrriCqVOnMnXqVPbu3cvzzz/PokWLOkyb/v3vf8///d//NT+ura11aRT6YrIhOwNZUZgVnySEbTfGLMvUmHQMOOdDU3BxWVd4kLsSp5IaMF0IW4HgIuGs670rrvVXDLQGC4bGRvGf2Ou6ZEs5J+yrNP6rKNb7SvP9s39aYzuKoqCgICtn3VAwKTKybEFWZGQFLIqMRbEeZ1FkZEXBLFu3yYqMWVYa95ExyzJmRUZVLWGWLZgtChZZtt43W/czW2RMZgsWRcZksT42W2SMFgsWi4zJYmm5b7beN1tkjGYLRnPTfXPzfYPZjNFkxihbt5uT1Ry//zFWZZzs0rkV2EfTuB+9LFKRm/gqdxe/HXQNi1PmsaX0JH6NNbY6s5G1RYea97u/30zu7zeTa395laKG6lY21FKLHttU8gk393maKyLvI71uP318BjE6+Ep+LF7W6phnh6ziUNVGVhX860K+vYuKXcJ29uzZPP/884wbN65LLxofH8+zzz7L4sWLeeutt/Dx8emSPWfi6enJX/7yFy6//HK0Wi0bN27khhtuaHd/Dw+P3jN24Bx8MtVU1OkYFBTualcEnZBWV8SY4CRUqJAv8TSU7kqGtgSLYibeNxUu3fIWgaDHYM/1/mJf6/uFhfCP+XOxyAof/7KPtNIKTCYLJosFsyxjNDX+NFswmc2YzhJ0JovFKuDMMkbZjBjF2jZqlTVCLGbVXlzcVCJiey5f5u7CJFuY32ccV8eMpMFi5HhNPs8f+ZIKQ13zfp5qNwwWE3Wm88v/rDW21iWr03W7WJn/DyaH3cyY4LnUmivZWLycPRXfN+/vJlk/z+rNtkWEewp2Cdu1a9c69cW9vb156qmnnGrTGUyYMKH5flaWiKx0xLG8YqYPSsRbo0FnFh9S3ZXtpacZG9KPyeED2VJ6wtXu9FpqTeWEuMe42g2BoENee+01Hn30Uby8vJxmc+/evZSXl3PVVVc5zaYz6I7Xe193d1YsvAVJgtvfWMHxfLESdiHQNNZ6iuZcF5fmGltL7/3OqJZUWJTWCyrf5u/l2/y9HR6XGtCH7wv2o22jEahK0rTqdXysZgvHatpPsY/1HoBZNrGnYk27+/REeuwc2+6Kt7c3iqJw4s3fMyD60h+x8tPRdCRJYl6/gec9N3/AYHIeXkzOw4t5dtIMm22uuGZB83GDQi79c9gRjp7Dc1lbaK2LnxU5xIneCewlv/40bioPPFW+rnZFIGiXp556isTERF5//XWqq6u7ZGvbtm1cffXVjB8/nr17O/7SJrCy8sE78HF347kvfhKi9gLSFLEVwvbi4tbLU5Enhw9k5+yXuC/Rvu90GklNP/9IPsxqW6yeHbG1hTjvFA5X/0yducIuP7o7dndFvu6661i0aBFz5sxBpbo0dfGuXS0NdhISEuw+/p133uHjHD215pbVmKOvPXHefn/6eiNf7jxy3vaO8PP04LGrJjIzNRl/Lw8KKmt47fstbD2VY7ONZQ/PZ0xS69qgtQdP89QnP9hsIzrIn/V/WNj8+JUZV/LKjCu5e/VX/JJn9eX7jNP8kpvN21dea7PdJj49cZjX92ynUt/Qavv8AYNZOGw0iQFB1BoN/JCZxnPbNtpl29/dg8XjJnNlQjIBHp7k1dXw0o7NbM7NttnGimsWMD6m9Tn8Pv0Uv96w2mYbsX7+bLvjgfO2O+scnk1amie6qSYG+cRTmh1MeEJll+wJHOPj7HxeGSmh4lbgXVe7IxC0yZIlS3j99ddZvHgxS5YsYe7cudx6661MmTKF8PCOS09MJhOHDh1i1apVfPrpp+Tk5KAoCmPHjuW66667OG/ADrp6vXc2y265nrjgAD7acoDv9onsmguJRrJ+h7UIYXtRaUpFNvTCVOSXj3+Lj9qaAlxqsK+zulmxcNmGP7X7vFrS2DXzekvZ53a9fk/BbmG7atUqvv/+eyIiIrj77ru599576d+/58xmVBSlw857BoOBP/zhDwD4+Pgwc+ZMu19Dp9NRXteA2sOz1fZnVqxn2+mc5sfahs4HLp+NRq3inQdvoFKr4/8+XE1JTR2RAX7UG4x2+/jVrqO8tX5H82ODybEPmEVvf8Xf75qLGYUrv/ig1dgfg8VMWYO19sde9GYzZQ26VtsWDh3F/cNG85ddv3CopAgPtYY+/vbNQ3ZTqfho3k1UNOh4+MdVFGu1RPn6UW+y/xw2ie9mnx1Mq7lt1RekV5Y3P3bWOTyXrOpKUkJEPbQr2Vp6EkVRmBw+gB+LXe2NQNA2L730Eg8//DBLlizh008/5ZtvvmHlypUAxMXFMWzYMMLCwggODsbDw4OqqioqKyvJysri8OHDGI3Wz1NFUUhKSuLFF1/klltuuejv42Jc753J4pmTmTggnj0Zeby66heX+tIbUEkiFdkVaBoj5cazhO1/xy5iVHAiAG+n/cSyrE3nbT+XPxxawU/F9gWHAMI9A/hV/9mMD03GU+1Gga6Kt9N/5JdS+5qIzY0ZyXOp88/bvjzrF/6dtr7NY3Lry9vcDvDttN8S7RV03vbJPz7bfK7Ghybzxuh7AdCZDUzf0NKpXS2pz2sS1xuxW9gmJiaSlZVFcXExr776Kq+++iqTJk1i4cKF3HTTTXh7e18IP9ukqqoKi6VlDpbc2ABAp9NRXt7yy+Pp6YmvrzX1b8uWLbz44ovcc889TJ8+ndjYWMC6yrxlyxZ+//vfN6dLPfvsswQGBjrN37oGAxV1us53bIfrxw4hwMuTO9/8vLnZQVFVXSdHtU2D0dQlX5qo1uk5kV/K+OQ+VBn0F6wJg7+7B4vHTmbh2pXsKMht3p5eZV8Kxc0DUwn08OTGlZ82+1qgdWweYVvi2xGq9Q1OsdMZ2/NzSQ2LJDUsghJExNYVmLF2qO7vFy2EraBbExMTw/Lly3n55Zd55513WLZsGfn5+eTm5pKbm9umYGz6UqXRaJg7dy4PPvggs2fPdsoYl552vbeXq4cMYOGk0RRW1bLw7a9c5kdvoqk7rywLMXAxcVdp2hRgh6pyeOPUWkr0Nc3bXj2+Ch9N66Ztt8RP4rKIweypyLD7tcM8/Fk6/iGytSW8dOwbdGYDib4RuKs6n/DSHo/tex/tWc2c7I3Ens3G4qN8kr2t1bazFwCOVudy387/cm3saC6PGtpqP2uNrWiEZrewzcjIYMuWLSxbtoyvv/6a+vp6tm3bxvbt23nssce45ZZbuPfeexk/fvyF8LcVI0aM4MyZ8wcR/+1vf+Nvf/tb8+O7776bDz74ALBeeDdu3MjGjdb0VS8vL3x8fKipqcFksub7q1Qqnn76aac3tlpy/Qyev/lyCipr+GbPcb7adcSuweszBiVy+EwRf7jhMmYMTqSyvoEfDpxi2aZ9dq84zh05kKtHpVBRp2PbqWz++9MudAb76x3evPca/L09kSSJp8dP4aUdF2aVeUpcPCpJItLHlw233IuPmzv7iwv5847NFNXbLu5nxSdxoKSQP02ZyeXx/ajUN/Bd+knePrjH7nN4bXIK1yWnUN6gY3NuNv/at4N6k/3n8N2rrsdDoyGnuoqlR/azNivNbhu28M3p4zw0YizXJw/i7SIx3sBVpNcVN65Aq0BchATdnOjoaJ5//nmef/55jh07xpYtW9i9ezeFhYWUlZWh1+sJCQkhLCyMQYMGMXXqVCZNmuT02fQ97XpvDykRYbxy/ZU0mEzc9PePXOZHb0PdWE5nEZ/DFxV1O2WMWpOeYzV5rbZl15eet9/ggFh2ladTY7I/IPDYgKso0lXx+L7lzWm7+yq71jTuZE2BQ760RYVBe945OJt6s4FjNXlMCDs/U1aFiNiCA8IWaJ799tZbb7FixQo++OADduzYQV1dHe+99x7vvfceAwcOZNGiRdxxxx2EhXWfBkCpqam89tpr7Ny5k6NHj1JeXk51dTXe3t4MGjSIKVOm8MADD5CamurU131z7XZ2Z+ShN5kZlxzH4nlTCfL25J2Ne2y2ERsSwNh+caw5cIpH3vuWPmGB/OH6y9CoVbz9026b7aw5cIqCylrK6+rpFxnC43MmMyA6jAfe+cZmGzqDkVe/28zBnEI83TQse/gmFg4dzbGyUr5Nd75o6uMfgCRJPDpyHC9s30Sd0cCTYyfz8bz5XPnFckw2Ror7+Acw0a8P36af5N4135AQGMifpsxCI6l4Y/9Om/35Nv0EebU1lDXoGBAcwlPjppISEsadq21faa83mXhx+yb2FRc0zgPux1uXX82TP6+9IOcwraoCk8XC+Jg43i5yunmBjewsO82YkCSSfUeSrt3nancEApsZMmQIQ4YM4ZFHHnG1Kzbhquu9PQR6evLJfQsAuPPNz6nV218WI3AMTWMigVlEbC8qbirHMzhSA/sQ4x3M2+k/2X2sj8aDyyIH88LRr+yqRe0pqCS1iNjioLBtwtfXl0WLFrFo0SLS0tJYunQpH3/8MUVFRZw8eZLFixfz9NNPM2/ePO677z6uuuoqp6QkNZGTk2P3MSEhITz55JNO88FWzhawpwvLAHho1ni7hK0kSVRqdbzw1QZkReFEQSnh/r7cM320XcL2693Hmu9nFFeQW1bN50/cTkpMOCcLzl8da4tqnZ6Pth5sflxnNKCWVDw4YuwFEWWSJOGuVvP8tp/Zmm9dtX/sp9XsvfthJsT0YUtjsyVb7JQ36Pj9Lz8iKwrHyksI9/blweFj7BK2K04ebb6fVllOdnU1q2+6k8Gh4Rwvt+0cVukbWHpkf/Pjo2UlBHh4XLBzCJBfV0tCwPk1HLZydr3L7dvfJL2u9yrks+trPsvZzuunbGuZv7bwEL8ecBWDAiYJYSsQ2EhPut7bigpY+dAdeLlpeOrjH0grar/+TuB8WmpshRi4mGgaU8AdYXbUMBrMRn5xYGzhQP8Y3FQaZEXhnbEPMCQwjmpjPd/m7+O9jI3IDordFZN/Q6C7N8UN1Xybv5ePsrY4bOvK6OFcFzcGs2zhYFUOb51eR6bWts7oaiFsgS4K27Pp378/r7zyCi+//DJr165l6dKlrFmzBpPJxMqVK1m5ciVRUVHcc8893HvvvSQlJTnrpXskR84U4+flQYivNxVa21IYymvrMVvkVimzWaWVhPn7oFGrMDvYYOhEQSkms4U+oYE2C9tzSausYGRkNAkBgQ4d3xll9fVA65raSn0DlfoGon1tT3kr09Vjklufw8zqSsJ9fHFTqWyO/J7LsfISjBYLCQFBNgvbtjhYUsQtKRcuerCvOJ/5A4YQ4u5LhVHrkI2VeXt4J30D1Y2pN+01UACY/fOfqTLW22zbV+PJw8lXMCNiEH5uXhQ2VPGvUz+wo9z29Oy2mk38WHSEZw6vsNlGlFcg3007PzXxsX3vs6s8HYANRUfYVZbGKyNub/O12xP+FUYtBtlErHeKzf4IBIJLj+V330RUgB9Lf97DusMXpgRF0D5qMcfWJWgklUOyTy2pmBmZypbSk+gt9pd9hXhYa++XDL6elXl7+F/GBoYF9mVRv8swyWbez9psl70KQx3/S9/A8Zo8FEVhSngKDyVfTpiHP6+d/N5u/7aWnuRYdR4l+hpivIK4N2kG7457kDt2vElhQ1Wnx0uoxCINThS2TahUKubOncvcuXOpqKjgww8/5P333+fYsWMUFhby8ssv89e//hWzufe1+T6blJgw9CYztXZ0Rj6YU8icEQOQJJprc/uGBlFao3VY1AL0iwzBTaOmvM52AXIum3KzGB0VQ63Bvk7PtrKvuACAxMBgiuutgizAw5NgTy8K6mwv1N9XXMC1/VKQaJn2lRAQREm91mFRC9A/OBR3tZpSnePnEGBwaHiXbXTEmow0bhqYytyYkXyY3f7g7o7QW0ytRHGTwDubZ1Pn467W2CVqNZKat8bcR6VBy9OHPqVUX0uEZwA6i/2/U03iu9lnB+flPbpnKVlnrZbWmFrGTxlkMwajFpNiaXXMucIfIMU/hl8NuJKB/tEoWMdLBLjZX6LhofLhsog7GOg/AS+1L1XGEn4qXkaGdn/nBzdyV8KfifdpvXhyrHoL3+S/ZrMNZ2beCAS9Dbc6+P110xkTH8u2Uzn884ftnR8kcDrN434uUNNLQdtoVCrsmbfaxNiQfoR4+LK+6JBDrythvW7tKk/nzbR1AOyvzCLIw4e7EqfxQdYvdqUo7ypPb17oBthdkYFBNnFr30m8n7WZCoN9zV3/frJlXOShqhx2VWTw5eQnuCNhCq+eWNXp8SpJLYQtF0DYnk1ISAhPPPEEjz/+OC+++CIvvvhicyfD3sS0QYmE+nlz+EwRepOZsUlx/PrKSXy16ygmi6VzA418vuMwt00aztPXTufTbYfoExbE/TPH8Mm2QzbbiA0J4OqRA9lyMofq+gaSIoJZPG8qJ/JLOJhdaLOda0YPwmyxcLKgDEVRcFdbi9aL6h2LAnZGdk0VP2an89zky/j95h/Rmow8NW4KmdWV7Cxsv9D+XD4+dpi7h4zkucmXsfzoQeIDgnhk5Dg+OHrAZht9/AO4LnkQm3KzqNI30C8ohGcmTudYWUmzALeFGwcMxiRbOF5WioLCzL5J3JM6kld2OSY4bWFzXjayojAhrL/DwvZcmgReE4FuPowOSeSlY7bXbANcEzsKfzcvFu56G0vjh3Oxvtohn84V345SbdLZbefc1/ZWu/PG6HvZUnqSV058h0ZS8bcRdxLnE0KoewzlRtt+Z1SShjvi/4TOUs1Xea9QayrH3y0Uo9zQ+cHnsL9yPZtLP2l+bJZFXZ9AcLG4bsxgbp00nNzyah5+b6Wr3em1qBtrPcUc24uLRqW2q3FqE7OjhlFtrGfnWWLSHmobF6b3VWa22r6vIpMFfScS5RVoU2S0IzYUHeXOhKn094tip53C9lwqDHUcqsphoH+MTfurJBGxhQssbNPT03n//ff58MMPKSpqScnz9PTs4KhLD7PFwoKJw/jtvGlIKomCihr+vX4nK3YcarXf0dee4JkV69sdyl5So+XBd7/ht9dM4+sn76S0RsvHWw+ybFNLnd61owfx0i2zSV38eps2TGYL4/r14fbJI/D2cKO4WsuWk9n898edrdJxlj08n8LKWp75/Md239cDs8YRFeSPLMtk1VZhtFgI8rhw/7f/t3Etf5w0g/fn3oCsKOwuzOPu1V+3GjGU8/BiFv+8lq9OH2/TRlF9HXet/pI/TprBupvvprhey/tHD/D2wZZa5/kDBvPaZVcR/9+2I1gmi8yk2D7cO3Qk3m5uFGnr2HQmi3/ua30OV1yzgPy6GhZvWtfue/r1yAnE+PljUWSyq6t4atO6C1Zf20S5rp5kv8gLZn9OzAj0FhM/Fx/rfOezmBKewtHqXJ4adA1TwwdRbaxnfdEhPnSgXuXK6OFcFT2cSoOWHeVpvJexEZ3FfvH295F34q7SkKer4LOc7fxcYt97AujrE0aAuzf/y9hAaeMYg3czNvKnYTczOmQu64rescnOiMBZeGl8eT/rKWSsC2I1pjK7/QEwyQbqzdUOHSsQCBxnWEwkL9w0i3qDkZv+8UnnBwguGBqRiuwSNCrJ7uZNHioNUyNSWF94uHnh215y2uiwDC2RXGf8Hjg7m8keexJqZMWx7LRLCacLW51Ox+eff86yZcvYsWMH0DLbbvjw4SxcuJDbb7+9IxOXHNtPn2H76fPHFJxNdJA/JouFgzkdR00PnynijjfbrxWMDvZnb2b7EcySGi33/vfLjh1u9Oe7ve0X56/ad4JV5wjwFY/fxoDoMPwy1dQl2R6JthWtycjvNq/nd5vbHnwd62c9h51FTQ+UFHH9N5+2+3ysXwC7Cto/h0X1dSz47vNO/Y318+er0+0Loa9PH+frdgT4heRoeQmX9UnEXaVpNR/NWVwTM4r1RYcx2Gk7xiuY0cGJrC86zBP7PyDOO5SnBl2DWlKzNPNnm+2sKzxEYUMVFQYtSb4RPNr/CpL9Ivn1vvdttqEzG3n95BoOV59prp358/BbeOHIV6yzMw3qTH0ZVcZ6ro0dzfuZm1FLEikBMSiKQrRXP5vt9PcfS77uNFdFP8QA/3HozDUcq9nC9rKv7W4YkRo4jaGB09Gaq8nU7ueX0hUORX4FAoHthHh7s/zu+cgK3Pqvz9AZRaaEK2ke99MLMwldidqBGtsp4Sn4ajxZX3TY4dctaqgms66EMSH9+CavJZgxOiSJGqPO4Qyxs7k8MhWzbCGt1vYMyPYI9fBjWGBffig82PnOgEqSkEXzKOcJ223btrFs2TK++uor6uvrm8VsYGAgt912GwsXLmTEiBHOerluzSOPPMIDCtzx5grSiys6PwCYNDCer3cdJbe8ukuvPal/X/763eYu2UgIC0JnMLFqv31d53amnWFwXATD+kaxjXyuTU7hL9Mux1Ot4USFfQ2V7hg8nAUpqdzwzaecrrStU+S0uAQ+O3mEnJpqu17rXKbGxfPCdtuFVFskBQajNRm7LFy7cg7b46fsDGb2TWJmxBDWOlir0h6pgXEk+kXw/NHOF0/ORSVJVBnr+cuxlcgonKotJMzTjzvip9glbL/Lb8lgyNKWkKcr58OJv2KAfzSnbbzY1Jh0fHampe7tZG0B/m5e3Jk4xW5hq7MYeXjPu/xtxJ3clzQDgNz6cupMlYR6xNlsJ8g9kgS3cI7W/MJnOS8Q7BHNVVEPokLFlrLOF1qaOFr9C9XGErTmKsI9+3JZxF1EeCbwcc6zdr0vgUBgO9YOyLfjodHwm+Xfk1PWtZRHQddprrG9BEe/dGc0KpXd81ZnRw2jqKGKQ1U5bT5/f7+Z3N9vJtf+8ipFDdXt2vlf+k/8dcRt/GbgHLaXnWZ4UDw3xI3lX6fXttpvz5V/YXXBfv509Ot2bb0x+h72VmSSWWftwzE1PIXr4sbw+ZkdrcqRbPHtiqihTAobwI6yNMoNdcR4BXF34nQsisynOdva9eFsrM2jnB9U6ml0SdgWFhayfPlyPvjgAzIyMgBrdFaSJGbMmMHChQu58cYb8fDwcIqzPYGGhgZGjBhBvzsXU6KzvenNlzuPOOX173jL9i+47ZFdVsUNDgyJ/3bvcRbNHMu8USlsO5zPhpwMDpVYU9Brjbafi8c3rsFTbf3VLNTa3hjqkxOOr+SdzQ0r24/m2kpmdSVXfrG8y3YcPYcd8X36aV6edgXTIwY7XdheGzuG07WFnHJgtbLcUIdZtrRKO87WlhHq6Y9GUmN28AP7VG0hJtlMnHeIzcK2LY5W53JN7Gi7j/NQaXhmyI0cqT7DM4dXoJZU3J4whaiwRDxUXrirPDHK+k7tSEjUm2tYXfBvFGSK9Jn4aYKZEHq9XcL2YFVLeUGZIZdKQyH393udSM9EivW2DaoXQ+AFAvv49L5bCPP14c3NO/n5WGbnBwguOKrGNM+uNN8U2I9asi8V2U/jyYSw/qzIab/JmqfaDYPFRJ2p42vp5tITPHfkS+5NnM5NfcZTpq/l32nr+fzMjla2ACoMHffXyNGWc23sGMI9/ZGQyNWV849Ta/jiTOvRkbb4VqirItwzgP9LuRo/jSd1Zj37KjL5X8YGm+t+JUkIW3BA2JpMJr777jvef/99fvzxR2RZbv6SExsby9133819991HQkKC053tCSiKQmZmJu7lVagvYL1pd+RMeTUGk5kxSXFwGOpNJupN1XbbKblADah6Io6eww5tmo3UGQ0M9O1DaXYw4QmVTrHrpXZnZmQq/0lrO1W8Mw5XnWF29DAkWi56fXxCKdPXOixqARJ9I3BTaezuUHguA/yjHbIxO2oYUV5BLNz1dvP7+uPhz9ly+bNIksQg/ykcqu582LzWXIVFMbdKOy435OHnFoxK0iArjqWVF+kzscgmgt2jbRa2AoHAdl6cN4vhcVH8fDSDd9fYPnNecGFRizm2LkGtUrXbN0Mtqc6roa0z65n8Y8cZRakBffi+YD9ac+eLxOuLDneY0pwa0AejbObLcwTqufzj1Gr+carTl7PJt2M1eTy8573OjWE9R011wWcjITn8PeBSwm5hGx0dTWWl9Yuwoii4ublxzTXXsHDhQmbPni3GQPRyciuq6Rsa5Go3BJ2QXlXB8PAop9q8PDIVtaRiXeEhh47/Om83N/edwJMpV/PFmR3E+YRyT+J0vjhrJbUzYryCuTJ6ODvKTlNtqifBJ5zHB87hVE0Bh6s6rnM/m7nRIzArMqdrC5FRmBI2kAV9J/DWaftFu6faHUWRW61QKyjIihlF0TDAf5xNwjZPd5IhAVPhrGFVwR4x1JkqunQxC/Pog1rlhtYsUiMFAnvZ+duHCAjwBxqb0DR+BWr6JiRJ1q+gFXU6Hl9u/2xLwYVDdEV2Dep2UpEnhw9k5+yXeDvtJ5ZlbbLZnkZS088/kmePfOEU/4YG9WVNwQFKDbZnDLaHs30bH5rMG6PvBUBnbp3FJ6HCgojY2i1sKyqsNaODBg1i4cKF3HnnnYSGhjrdMUHPZHd6LsmRofQLCiGjyrb6YsHF55fcHEZFxjA+OpYsnBOxvSZ2NJtLjlPXzqrkniv/wgtHv2JNQdujlUr1NTy2bxm/GTiXTyY9Rpmhls/PbOfDrJaxRHNjRvJc6nzGrlvSpg2TYmFMSBK39J2Il8adkoYatped5r3Mja1WiP87dhFFDVUd1s/cmzSDKM9ALMjk1Zfz4tFv7K6vBetsu18PuJKnBl3DF2d2opIk7kqYhowFvUVHlFeSTXb2Va5lTPBcroy6nz0Vqwlxj2Zy2E3sqbD9y3KQeySpAdNIr9uPzlJLmEccl0feR1FDJnk627txu7m52byvQHApk1Zajo9Oj6woKIrS+NPaYVVBIdLfl/iQYP6zXsyq7W40RWwd7bIrcAy1JJ0XsX35+Lf4qK1li/YKSrNi4bINf3Kaf/b09OgMZ/t2tCqXu3f8Gzj/91aSRMQWHBC2ixYtYuHChYwbN+5C+CPo4Xy/7wR3TBnJTQMH8/LOCzePVdA1vj59nCfGTOTa5EG8nuuc+u5Fu//X7nNRXoGYZQtHOomaHq3OY+Gut9t9PtoriP2V7afLlupreGjPu536GuUVxOp2BDbAmsKDrLGxE2FnnKkv48kDH7Go32UsHf8QsqKQVlfEI3s+4vGBV5Ea2AeAZ4es4rv8f3K4uu2Laq2pnE9ynuOKqEU81O8Nas0V7Kn4nu1lLeJ8WOBlXBv7G/507Jo2bVgUMwm+wxgbMg93lRe1pnLS6/byS9mKVinOdyX8mWpjKasK/uWUcyAQbN26lU2bNvHss5dWk7Inn1yBxq39sqMb5ozgiQdmkVfR9eiPwLlomrsii4jtxUQlSedFbHPrbWsS2tuptxg4Wdv25A8JCYsQtvYL23fesW3moqB3cqKgDLPFwpTYvrzsamcE7VKgrcVgsTAmKgZy7Tt2fp9xXBs7moW73iZTW2LTMRNC+7Myby95uq5F8ceHJvP3k6u7ZKOvTxg6s4EfCromXGdHDeP3g6/DQ+1GWm1Rh/vuqchgT0XGedt3laczLCieQf6TsCjmTqOm+Q2nWZb123afD3SPIKf+aLvP15rKWZ7ddrS7lR23cA5XbWz3eZPJhJeXV6d2BIImtmzZwgsvvHDJCVtbEdKp+9GUitxRje2KaxYwPsbavf613dt468CuVs/fPHAI96aOJDEwmDqTkYMlhdy/9luH/Iny8eN346cwNS4eL40buXU1/H33Nn7MOf/a0RHzBwzmtcuuOm/7fw/s5pXdW+32a9vt9xPrH3De9gHvvI7BYk19nRYXz/Kr5wNQbzIy+L032rWnkVRidvAFQcIimkc5f46tQFBQWUtCYLCr3RB0Qm5tNX0DAu065tnDX+DR2LG6uKHG5uPOnhnXFTqK5trKmfoybtve/kXXVraWnuR4jXXe8dndDu0R/usKD/Fg8uWMCZnLgcr1VBo7FsidkeQ7gnVFnUesOyLEPQaD3MDhattrnAQCQduoRNuRbktzKnInEdu9Rfn8ZecvFGpbNw/8zeiJ3Dd0FP8+sItDJUUEenoyLc6xxqkRPr58c8NtpFeW87vN69GajPQPCsVDo3bIHsBdq7+i7qxpCsVaxxtzrsk8zXuH97Xa1iRqAQ6UFHL9N5+wICWVef0GdmhLpRLzVi8EEmBRTK52w+U4VdhaLBbS09OpqqrCZOr45E6dOtWZLy3oRuzPzuf6MUOI8fWjQNu1TrSCC8euwjz6B4cS5x1icyS1zAnNFC4VdBYjOl3r+mR7hX9BQxVGixkvtT9ri9pP5baVZVlPddlGhbGA/2U81mU7gkuf++67z+Z9Dx92zji2HodKdN7trqgbm52a5I7/b2oNBg6WtF50TAoM5lejxnPvmq/Zmt9SYrM+277oahNLJkwjr66Gu9d83Rzd31mQ55CtJo6WlVClb+iSjSbKdbrzzsHZ1BmNHCwpsknYq5BExPaCIFKRwUnCNj8/nyVLlvDNN9/Q0ND5H5EkSZjN4uRfqqw5cIobxqZy44AhvLG/43bpAtfxbdpJ7hoygrnRI3g7Y4Or3bkkcET4FzZUEeMdeQG8EQguLB988AFSG/Vy7dGbpyaI7/HdD1UXmkfdNHAIubXVrUSto/i5u3NVYn8W/7y2V6Ssq1Uq0eToAmGRxXntsrDNyspi0qRJlJaW2nxxs3U/Qc9kT0Y+Fllmep8EIWy7MQdKCrHIMuNCk4WwdSGHqnLo6zMaP00IdWbRSVzQc4iIiGDMmDF8+eWXne778ssv8+KLL14Er7oXKlc7IGiXlhpb+7+TjoiI4nRlOb8eNZ67U0fi7+7BwZJCXtj2MycqyuyyNSQ0Ane1GllR+OK6WxgRHkWVvoHPTh7lX/t2OBzd/HHBPQR7elGgrWXFiSO8fWivw7au65/CLYNSMcsyewrz+euuLZyudKzhk0qSMIsMhguCSEV2grBdsmQJJSUlhIWF8de//pXZs2cTERGBWu14XYCg51Ncr6V/cIir3RB0QnG9lnjfMFe70avZWHyU6+LGMCxwBtvKv3K1OwKBzYwePZoDBw7g4eHR6b69dURUU5RarOd3P5pqbB0RWaHePgwOjaB/UAh/+OUnTLKFx0dP5KN5NzHj06XUGg2dG2kkzNsHgL9Mu4JPTxzm9T3bGRUZw+OjJ2C0mPn3gd12+Vaqq+cfe7ZzqLQIRVGYFd+PJ8dOJsLHj+e2td8UsD1+ysnkUGkRhdpa+vgH8ujIcXx53a3M/fJD8ups77XRhEqSsHSS/i2wD3eVBkkSqcjghMXEDRs2IEkSK1as4N577yU6OlqIWgFHMgvxcXMntsjH1a4IOuBgSRHeag/8NO2PqxBcWHZXZKAoMol+I1ztikBgF6NGjaKwsJCios6bngUEBNCnT5+L4FX3olE7iRrbbkjLuB/7/29USPi6u/PQ+lWsz07n5zNZLFq7El83d24dNNQuW02LH1vycvjrri3sLMzjrQO7+Pj4YR4eMQ57E/i35OXwxv6dbMnLYWv+GZ7btpH3juzn9sHDmkW0Pbyw/We+Sz/J3qICvj59nAXffQ7AA8PH2G0LrML23Dm2gq7hobLGKc2K0cWeuJ4uC1u9Xo+XlxczZsxwhj+CS4R1h9KQJIlrRw9ytSuCDliXdRpJkpgdPdzVrvRqtOYawj3iXe2GQGAXv/3tb8nOziY0NLTTfX/1q1+RnZ19EbzqnoiIbfdD1SgoLQ6sOdQY9JTp6kmvaikfKdPVk1ldSf/gzv8ezrUFsLOg9ey9nQW5+Lq7E+N3/qgde1mTcRqNSsXg0PAu2yrT1bOvuIDUsAiHjrfOWxULPc7ES+0OICK2OEHYJiQkiJpZwXlsPpGJrChMG5ToalcEHbAuOwNFUZgcNsDVrvRqivWZeKl9UYkJbIIehI+PD3379u21aca2INkdbxNcLJq6IjsisjKq2u6HIGF/zW67thp/dZzxHdvZfdu6Yk6kIjsfD7X1M9gsi4htl4XtggUL0Ov1bNxof96+4NJFlqGiTseAaFG/2Z0xyzI1Jh0D/WNc7UqvJq12D5IkkeI/wdWuCAQCJ9KUZirGm3Q/1F1IRd54Joswb59W0dkIH18Sg4I5WVFql638ulpOV5YzKbZvq+0TY/pSrW+gQNv1MXtXJw3ELMscL+t4trothHv7MCoyhsOlxQ4dr5LAIv4enEpTxFakIjtB2D755JMMGzaMBx54oFenGQnO51heMf5eHnhrRBSqO5NWV0SQuw8q0b/TZRyt2YKiKAwUwlbQTVm4cCFvvvkmW7dupa5OzCe3FyFsux+q5jm2FruPXZ+dztGyYt6efQ1zkwZwRXw/ll51PZUNDXx24mjzfr8ZPZGchxcT6+ffob1/7NnGlYnJPDNxOpNi+vCb0RO5ffAw/rWv9WSJnIcX89qMKzu09eHcG3lw+Bim90lgep8E/jx1FguHjWL50QOUNejs8u2afgN5feYcrk1OYUJ0HDcPHMIX192CrMi8e3hfh360h4SEjIjYOhOv5oitSEXusuLw8vJiw4YN3H///aSmpjJ//nzGjBmDn59fh8fdddddXX1pQTfnp6PpzBicxDXJKaw4ebTzAwQuYUfpacaG9GNy+EC2lJ5wtTu9EqOswyg3EOOd7GpXBII2ef/991vNoU1ISGD48OGMGDGC4cOHM3z4cGJiRObHuUgqkYrcXWmaY+tIYy9ZUbhnzTf8ceJ0Xp52ORqVmt2FeTy2YTUN5paRK15ubhjMZmoNHXdJXp+dwW82ruFXI8dz15ARlNRreWXXFt4/eqDFlsYqXsp09R3ayqyuZEFKKlE+fqgkiayaKv60/Wc+OHqw1X62+JZXV0OUjx/PTpqBv7sHtUYDOwty+cfe7eQ70BEZrFkMZgcWEwTt46FqFLaK7d24L1WcEkrLycmhpKQEnU7HRx99xEcffdTh/pIkCWHbC1h/6DR/XjCb2QnJQth2Yz7clcPjAxUm+44UwtZFrM4fwvy4Svr7RbE6fwhXxx5ztUsCQSvuueceDhw4wIkTJzCbzWRlZZGVlcXKlSub9wkJCWkWuU23QYN6dwPBpjwY0Yuk+6FpXHQwd/JfI0kSakk6L322okHHbzb+0OGxIyKi+OLUMZvG/6xKP8Wq9FMd2jJYzCw/drDdfQBe2L4Jtm/q9PVs8e1gSRG3rPq8U1tgrVmWbCjmlXCsrlnQPp6apoitmGPbZWF75MgRpk+fTn29dQXJ3d2d0NBQNCL9tNdjNMvU6PSkhkW62hVBB1TqG9CZTYyMiIYsV3vTe9lbnsmggFhS/GMAIWwF3Ytly5YB1kkIhw8fZt++fezfv5/9+/dz4sQJLBYL5eXlbNy4sbnnhiRJmM0iNQ5EV+TuiBrbamwv65tI5kNP8trubbx1YJfN9t1UKlJCwnhiQ8fi11ZGR8bw9enjFNdru2zL2b5Ni4tn+dXzAag3dVznaZ23KoStM3FvjNiaRMS268L2ueeeQ6vVkpiYyLvvvsu0adNQqUStnsDKyYJSxif3QaNSYRZd8LotWdWVpIR0fQyAwHHWFh7i7qRpXBk9jHTtele7IxC0iaenJ+PGjWPcuHHN27RaLatWreLtt99m27ZtzYvbxcWONZe5pBCZyN0WVVPEtoPvJku2/IiPm7Uxj72C0iTLpC5903EHz+GN/Ts738lGnO3b/uJC5n1lzdbsrJ5cAsxC2DqVpq7IJtEVuevdYnbs2IEkSXz++efMmDFDiFpBKzYdz0SSJK5M6OdqVwQdsKMgF41KxUC/aFe70mvJqi/BJFsYGSxGZAl6Fr6+vtx222388ssvPPPMM9TW1vK///2PsrIyV7vmcpq+Eynii3y3Q9Xcsbr9/5us6iqOlpVwtKyk09rW3ozWZGw+T8fLO+4KbY3YihpbZ+LZGLG1iK7IXRe2Op0OHx8fRo0a5Qx/BJcY3+8/iaIozE0Sc1K7MytPHwfgqpjhrnWkl1Oir6aPd2jnOwoE3RBJkvjTn/7EggULuPvuu0UaMi3zQ2WRitztaJpjaxb/ORcdkYrsXNxV1gRco0hF7rqw7devHyaTCYtFrL4IzkerN1JnNDA8QkQCuzOnKiswWSyMCk5ytSu9mqPVeXiq3fBWdTwaQiDozvz2t7+lurqa119/3dWudBvEuJ/uR1fG/QgcR8KaCi1wHh5qq7A1y0LYdrnG9q677uLJJ59k1apVXH/99c7wSXCJkVlYwbC+0fhlqqlLEheQ7kqBtpY+viGudqNXs6n4GFdFD2dI0DT2VHzvancEAocYMmQIGo2GVatW8de//tXV7rgUycEi22UPz2dMUhwAb67dzjsb9wBw7ehBvHTL7PP2X/rzXv75wzaHXisiwJcn5k5m4oB4PN005FfW8NbaHfx8PNMuO872bd2S+4gJDjhv+6in38Botn6XmDSgL2/ffwMAOoORcX/4t832VVLnNbaCC4NFLCY4leaIrRC2XRe2jz/+OD/88AMPPvggkZGRTJgwwRl+CS4htpzMZkRCDJMG9GWdWbTd7a7sKy7gxv6DCXH3pcLY9a6LAvvZUnoKRVFI9hsthK2gW/HWW28xcuRIhg8fjre3d4f76nQ6zGYzubm5F8m77ktTKrIj434OZBfw9++3UFxdd95zD77zDVp9y5fYkhrHPrPD/X345Ne3kFFSwXNf/Ei9wUS/iBDc3dQO2XOmbwA/Hk5j+S/7W21rErUAh88Ucfsbn3HDuCFcNdy+kieNqqkrsoimX2xE8yjn0twVWda72BPX02Vh+9JLLzF+/Hj279/P5MmTmTx5MmPHjsXPz6/D45599tmuvrSgh/Dt3uM8dtUk5owYyLq9Qth2V1ann2b+gCHMjRnJh9lbXO1Or0RGpsakI9IzwdWuCASteOyxx5AkCZVKRXJyMiNHjmy+jRgxgoCAlsjam29au60GBwe7yt1uhyOZyHUNBo7ktt1Z+kR+CdW6rn+JffLqqeRX1vLweyubfdyTkdclm87yDaBCq2v3HIC13OlIbjGTBsbbbVslNQpbhMi6mEiShFk0j3IqA/1jAJgX82sUFNSSBrWkRiVpUKE666calWT9KaFCJamQaLxJKlRISJKK2to6XibMxe/KMbosbJ9//vnmgcyKorB161a2bes85UQI295DeZ2OBpOZkQkxsNfV3gjaY3NeNrKiMCGsvxC2LiStrogxwUlYWyCIL1yC7kFKSgppaWlYLBZOnTrFqVOn+Oyzz5qfj4+Pp1+/fpSWlnLkyBEkSWL69Omuc7ibIKm677wfX093Lh+azB9WrO+Vc3ZFKvLFx70xSi7qmp3HkIBYRockoigKfX1SUVBQFBp/KigoyArIKCiKjKwoWGTF+rPxsVkxIysyZkXGoshU19a4+m05TJeF7dSpU5uFrUDQHtkllQyI7pmrP72JSoOWZL9IV7vRq9lRepqxIf1I9htFep1YCRJ0D44fP05DQwNHjhzhwIEDHDx4kAMHDnD8+HEMBgPZ2dlkZ2c375+QkNDr62uhpcZWdvIi1be/vYtAHy+Kqur4avdR3t+0z+4GVSkx4bhp1MiKwgeP3MzQvpFU1+v5evdR/vvjLocbXjnDtybmjhjIjeOGYLbI7M8q4PU1W0kvrnDI1rk0rTkIYXvx8NA0NTkSwtYZTAodwGsj70RWZBZu/4RdZTlOsWtxUsaFK+iysN28ebMT3BBc6uxMO8PguAhGRkRzoKTQ1e4I2uFUbQGTwgbgrtJglMWoDlewrugwjw+cwyD/SULYCroVXl5ejBs3jnHjxjVvM5vNHD9+nMOHD5Oeno7JZCIlJYWbb74ZLy8vF3rbPWha+HeWdiqrreff63dw5EwxCgozBifx6ysnEhHgy19WbrLLVqifDwDPzZ/Fl7uO8u/1OxgRH81DV4zHaLbwbmPDKlf4BrD5eBZHc4spqq4jNiSA+2eOZfmjC7j59U/Ir+x6RKkpFVlw8fBobHJkEqnIXWZO9AieTZ2PSTazcNfb7C2rcrVL3YIuC1uBwBa+3XucRTPHcn3/QULYdmNWnzjD5OkDGaMex3Z5u6vd6ZVUGrXoZRNB7kNZnT+Eq2OPudolgaBdNBoNw4YNY9iwYa52pVvjSPOottiRdoYdaWeaH+9My0VvMnPnlJG8s2EP5XX1NttqSsXdkXaG19dsBWBvZj7Bvt4snDGG937eY1eKsjN9A/jrd5ub7x/ILmDH6TOseupu7p4+ij9/87NdttpCLUlO+38R2IaI2DqHO+In8+sBV1FvNnLdxv+Rp6t2tUvdBrFcJbgonCmvxmAyMyEmztWuCDrg+/TTKIrClQnJrnalV5NfX0GUV5Cr3RAIBF3kYlRqrT+chkatYmCMfeU+NQ3WdMPd5zSL2pORh4+nO9FBXZ+n7ahvbVFeV8/BnAIGxYZ32Ra0CHvBxcNDbe22LZpHOc6v+l/JrwdcRbWpnlnr3xSi9hzsEravvfYaDQ0NTnVg7969rF271qk2Bd2T3Ipq+vgHutoNQQfUm43UGQ0MDY9ytSu9mv2V2bip1PT1FnXpAkFPpjkV+QJGBh2VZ1kllR0adIbPzpaOjs4FbguRinzxcdc0zVsVpU6O8FzqfO5MmEKxvpprN79GlVHnape6HXb9VT/11FMkJiby+uuvU11d3aUX3rZtG1dffTXjx49n715RR9Yb2J2ei7taTf+gEFe7IuiA9KoKwr19XO1Gr+bHokMAzIkZ7lI/BAKBc7iQwvbK4QMwW2ROFpTadVxhVS3pxeWMT+7Tavv45D7U6PQUVZ0/P/di+dYWYf4+DI+P5nheSZdtAahFwPai46UWqciO8vqou5gbM5IsbQk3/vJ39LLR1S51S+wStkuWLKG2tpbFixcTFRXF/Pnz+frrrykt7fwDy2QysXfvXv74xz+SlJTEtGnT+OGHHxgzZgzXXXedo/4LehDf7zsBwPyBQ1zsiaAjfsnNQa1SMSpIzFJ1Fcdq8rHIMmNCklztikAg6ALOznZ9+/7ruXf6aKYMjGfKwHj+eONM7pwyks+2H6KiriV68/AV4zn62hOdphO/tW4Hs4b047fzpjI+uQ8PXzGem8YP5b8/7mq139HXnuClBVdcNN+uGj6Al2+9krkjBjImKZbrxw7mg0duRlYUlv+yv0M/bEWkIl983BpTkY1C2NpMjc6T98Y+yqSwgewpy2HOT+9QoXOnRufpate6JXY1j3rppZd4+OGHWbJkCZ9++inffPMNK1euBCAuLo5hw4YRFhZGcHAwHh4eVFVVUVlZSVZWFocPH8ZotK4uKIpCUlISL774Irfccovz35WgW3KioAyLLHN7ylC+zzjF0TLnrLoKnMvXp4/zf2MnMTt6GPursjs/QHBBKDPUEu/rnFoygUDgGprHITopYJtdWsUN44YQEeCLSpI4U1bFK6s28+m2Q63283J3w2AyU9dg6NDez8cy+f1na7l/5jhunTScklot//xhG59sO3iWLetXxfK6jtMenelbQWUNEYG+PHXtNPy8PKhrMLAnI49/r99JQWVth37YiiRSkS86TTW2oiuybbirNKy9/BES/UJZX3CSx3Z/6WqXuj12d0WOiYlh+fLlvPzyy7zzzjssW7aM/Px8cnNzyc3NbXOmbVPXOY1Gw9y5c3nwwQeZPXu2mH/by5g+KBGVJOHj4cH38+/EIsuU6uo5Xl7K5twsVqWfotbY8UVYcOEp0NaiN5sZFhTvald6Ncdr8rksYjDuKk+Mcs+dKScQCBxLRZYkUKskLHLLsa98t5lXvuv82KF9oli59zh1+s6vqT8cPM0PB093aMtoNvPZ9kMd2nGmb0dyi7nvv191bgzrOXIk+ioithcfj+ZUZFFj2xm+Gk8+n/wbQj38+CxrH88f+sHVLvUIHB73Ex0dzfPPP8/zzz/PsWPH2LJlC7t376awsJCysjL0ej0hISGEhYUxaNAgpk6dyqRJk/Dz83Om/4IewpC4CP55zzyMZgv/999VjOofy+j+cSREBjGzbyKz4pN4ccos9EYzOXVV7C0u4IfM0+wqzHe1672S3Npq4gODXe1Gr2ZLyQlmRg5hsP9UDlb/6Gp3BAKBA6i6oJ2mpiRy6NXf8Oba7bxjx0xZjVrFgOhQfv+ZcxpzjkiIZtW+k5TUaLtsy9m+TRrQl7fvvwEAncG+mkOVJDkrkC6wEffGiK3BIoRtR7hbQll52cP4u3ny71NbePPkL652qcfglDm2Q4YMYciQITzyyCPOMHdJ4OPphl58YgIQFxLA8kdvRlHg7ldXkJZfxs6TLbPu3DUqpg3rx/ShSQyOjyApJISU0HDuGjICWVGoaNBxqqKMLXk5rEo/RYmu6xdXQcfsKsyjf3Aocd4h5OkqXO1Or2RjyTGeV25igP9YIWwFgp6Kg12R//TVRrw93AEotVNQmi0yE575j13HdMTbP+12mi1n+3Yop4gF//wUAFmW7TpWRGwvPm4qkYrcGX29w1g+8VG81G786fBaPs3a52qXehROEbaC89nwzP1oPLw4U17Fnox81h48yYn/Z+++46Oq0gaO/+5NJUACqaRXkkBC702qdFCwISBNsYBrYe2ri7q6+lpQsawNQUAECwpSBOm9hpoe0nvvZTIz9/1jkkCEkDbJpJzvfrKZuXPvuU+GmDvPPec8JynD0GE1u64dzfn52fkYGxnx+NdbiUi8+T1QqbX8dT6Cv85HAJDdW4O7ZRdmdvdnpIs73bvaMNLFnVGuHrwybDRlGg2JBXkEpSbzZ0wkh+Kiqd/lTKjN9shQFgT2Y5pTP76M2mfocNollVZNgbqUbh1EASmh5VEUhaysLIqLi3Fzc6v9gHaqocv9xGbkNEU4bU5RmYqQxIbV6zASiW2zMzcWxaNuJ9DKha+GPIqRJPPsmV/ZnRRi6JBaHZHYNpFjRyPoP6A7vt1s6eniwKIxA9BotGRmFnA5LY2DIdH8dTGSUnXbHY5hbmzMb88twMLMhNfW7eHcxfg6HWd92YgCCvjh2Fl+QLcUlCzD8J6ejOvrTW8vJ1xtrPD2t+b+Hr1QFIW8olKupWRxJiyezfkhxOXnNuFP1vadS01Go2gZbOsjElsDii5Mo3cXkTQILUdQUBBvvfUW+/bto6ioCEmSUN9wHcvJyeGll15CkiRWr16NqampAaNtOZQmXO5HaBhZksS/SzO7XhW53MCRVGcqG1d9mchGmMrGmMnGmMjGmMpGmMkmmFS8pvvSbVelWGFiZISJkaz7LhthbCRjIsvVHhsbGWEsSxjLRhjLMkayXPFcrvpysbbCzrwjGkXL4mMbOZURa+i3pVUSiW0Tee//dmBsrCvF7eVlx/gJAfTt646rmw0T7LtzZ29f3n5gEoWlKqLTszkTFc+OoFCi09rOXdpfn5uPdScLVv9+jF1nQhvVllYLx67GcOzq9Sq9NpYWTBnkz7Ce7nR3saOftzMDurvwBMNRaTSkFBZwKT2Fv2KvsSc6AlU9hym1d+ml+Xh2cjB0GO3aqYxI+nb1wL1jL+KKrhg6HKGd27BhA4888gjl5TV/KO3atSsxMTHs37+fGTNmMG3atGaMsOXxdNWt235w5WPVtq85cJaPdx2rd3t/vrIEZ2urm7YPeGk1KrWuF+zv806H/Ovzep+nPRBDkZufv7UdAA97jWWO+3CMJPm2X7IkI0tSxWNJ9xyp4rGEjIxU9VjS/a/ysQQgIaEbOaH71678fl2jCtnWY/XKG2+iKDdsU3QPkCsm5N978FtC88SqIQ0lEttmEB2dQfTXh6qeFw6zZHLf7ozu4UVPVwcCXR3o4+7I0vFDKNdoSM0p4EpCKvuuRHHw6jXUrTAh2/iPObjZdmXTsQt8v7dp5gdk5RezcX8QG/cHVW3r392FUXd6M8jRBQ+rrszw8Wdm9x4oikKBqoxrudmcSkpgW1QYYVntb2h4fXQyNsPCyJR9414jsjCFs5nX2JtyicSSbEOH1m7sTr7A4753Emg1SiS2gkGFhoaydOlSysvLeeqpp1iwYAGTJ08mK+vmOfgLFixg3759bNu2rd0ntpUfo5/bsJOUnOvL1DSmENPeSxE3reVamdQCXIpLYd7qH5k9JJApff0afJ62TiS2zcvOwoIHKkbZ9e7qXpHc6RK7yqRPQUFRdN+1KBWJn4L2hu+VX+WKBo2iRqtoK74UNIoWjaKgRVvx+IYvrRa1okGjaFFrtWgUDWpFi1qrQa1oKK94vfK5WquhvOK7Slv5XE25VqP7UtRkXetIuUZDmUZDWbmaMq0GlVqDSqOmTK1BpVZTqlbXabrc53OnMNHJXyS1jSQSWwPodDKfYyfPc4zrF6YePZwYO64nffq64ezclSl9/Zjaz1+XkBWUEhubSdD5GPb9dZVLTi17SZxPFs6gj7sj+y9E8sEPh5r13EGRiQRFXq+kbGlhyp0D/BkZ4IG/mz29bbvRz8GJJ/oPQa3RkpFXSGh8OntyotgRFUGRun5VFduq1ROm09mkA2qNBrVaoV9XTwZYe/G47526my8FhVxNS+PgtRjOGJ+kWCvet6aQUpqLWqvC1aKnoUMR2rlVq1ahUqlYvnw5H3/8MQBGFcMK/27cuHEAnDx5srnCa/HCk9OJzcjVS1tZhcVcjk+t8fXCUhWX41MZ4e+hl/O1VRKiKnJzcezYib8eWIKxLPPq3r/YcvmqoUPSk0y9tWQi1lXWC5HYthChocmEhiZXPbe0NGfs2J4MHeqDd3cHAgNd6N3blUWL70ClVpOcXcCluBT+uhLB0bAYWkqn7r9mjWNcLx8uRSfz/Nc7DB0O+cUqfj16mV+PXq7a1tPNgTsH+jKwuwvuDl0Z28ebcZIP746ZRHF5ObF5OZxJSWTntXDOpSbfpvW26X8TZzDF24/gtHTuWr+xavswN1cm+XZngLMTbl26MNm3O1P8fFGUiZRoVCQUZ3E5J44DqVc5nxNzmzMI9ZGjSqOraTdDhyG0cwcOHECSJF588cVa93VycsLCwoL4+LrVVWjTxGfVFkv02DYP506W7J2zCAtjE17Y/Se/BTdualpbZSzL4kaLHojEtoXKzy9l27Ygtm27Psy2T183xo7tif9gV1ytrXC368Fdg3qiKAo5RSVEpmZyPCyOHUGhZOQXNXvMD48dyAPDexOXkcPi97c0+/nrKiQ+jZD460M9zE2NGTLTi/HuPvS2d8DX2pYAOwcW9x6ARqsls6SYkMx0DsfHsD0qjOzSEgNG37S+nnw3Ez19uJSewj3rf6z22sn4BE7GJ1Q972hqyhTf7tzZz5kelk54dXLAz9KJ+9yHoVUUclVFXCtM42xWFHuSL5FSmtvMP03bEF8cgq2ZC5bGduSrxfB5wTCSk5Pp2LEjLi4uddq/Q4cO5OXlNXFULV9l6vT98gewsjAnJaeAX05fYe3Bc/WulFxpWj9/7hkSiFqj5Xx0Eh/tPEpkqliWrb5E8aim527ZhT/vX4iZsTHP7tjJjrAIQ4fUYhlLRiBS20YTiW0rculiPJduqCxsbd2R8XcGMGiQF95e9gz2dmWIjxvPThuJSqUmJSWXq1cS2ZYczanIpr1zPiuwB09PHUl2QTEPvLm+Sc+lb6UqNYd/ieAw1//gujt0ZcpAPwb5u+HlaMMYN0/GunuxcuQ4ysrVJGXmcSk6hf0XIjkZEkd279Zfuv67qbMZ5+5FUFIy92/aXOv+RSoVv1wN5perwVXbPLp2Ybq/P8PdXfGxsWWAtReDbLxZ5jsJlUZDakEBV1LTOHAtmr8iIjHvUfNwOkFnbVQiAwZLmMkPAJ8ZOhyhnTIzM6O0tBRFUWottlJSUkJubi5dunRpnuBasNIyXcXo//yyjyJVOWMDvPnH5OE4WHXiv78drHd7h4KjuRKfSkpuAS42ViwdP5jvlz/A/R/9QGK2uJFQH7IkhiI3JT8zW7Y9MB9TIyOe3PYHeyOjDB1Si2Yky4j7LI0nEttWLDu7iJ+3nOHnLWcA3ZI4Awd6cccYfwICXHBy6oqHhx3T6YdWUcguKCYsOYNjYTHsCAojr7hUL3EM6+7G6wsmUVxWzr1vrEelbiHjohshLi2HL3ee4sudpwDdEJFRvT0Z28eHXp6OuNp1wdvJltkje6FVFHJKSwjPyuRoYizbI0NJKiww8E9QP+un38sdrh6cSUhk7uafGtxObE4un508xWcnT1VtG+HuxiTf7vR30g1hnurnyzR/P5SpkynWlJFQlMXFnDgOpF3lYk6sHn6atuVM9jW0isIMlwF8F23oaIT2ysPDgytXrhAZGYmvr+9t9921axcajYaePcXc8PRM3bXgVFQChaUqTkbEU1qu5qFR/fl63xkyC+o3uurdbYeqHgfFJHEiPI7tLyxk4ZgBvL31gD5Db/MaVQ1XuC1/Gzu2zZ6HsSzz+G+/c+CamJ5UG2NJriilJTSGSGzbEK0WzpyJ5syZ659+HRysGLqwD8N93fHpZsMIP3dG+nvw4l1jKC1XE5+Zy/noRP68GMGF2PrPJ/V3suOLR2ah1miY89YGvSXLLY1aq+XgxWscvHitalu3rp2ZNMiPoT3c8XazZaizK8Nd3Hhx6B2UadQkF+RzIS2Fv2Ki+Cuu5Va33jTjfoa7uHEiMZ4Fm3/Re/vH4+I5Hnd9xEAnU1Om+fsy2tOTXq62+HTuhr+VM3M8hqNVtOSoirhWkMaZrCj2pFwirbR990LcYe+PBLhY2PBawO8UawrIKIsnrvAqwXnHyFQl1NqGIDTW5MmTuXz5Mp988gmff17z8jFZWVm88MILSJLU7isiw63nce65FMHiMQPxd7bjWFjjpg1lFhRxITaJni72jWqnPZIlRCLRBAJtHdg6ey5GksSSX7ZWu/4LNdMltkJjicS2jUtLy2Pbe0fYVvHc2Fhm2PDujBzpS8+eznjZW+PnZMfckf3QaLRkZxcRGZHKqVNRHDwQQnGxivQB5rds29W0MxufnIMELPngJ5Ky8m+5X1uVmlPA93vPVVvOaGgPN8b3604fLydc7Kzw8O3KbL8AXXXr4jKiU7I4G57An+fCiEnVrVlsyGHMW+6awxAnF47GxLL4l63Ncs5ClYotl69Wq4robWPNdD8/hrq54mNrwyAbbwbb+vCk32RdsbSCAq6kpnIgKoazZqdQadXNEquh3es2lOd7zKBcq+HPxBDsO3TGx9ION4tAPDr2YrTDg6i1GtJLCwnLTeVo+jU6mm6iWNu+/lsUmt6zzz7LF198wZdffom9vT0rVqyo9npJSQm//fYb//rXv4iLi8PW1pbHH3/cQNG2HJV57Y33NfXdT3jzypxCXchIYkqjng3o7MTm2Q8gSRILf/qFUwmJtR8kAGAkG4k533pg8MT26NGjHDx4kH//+9+GDqVdUKu1HD0SztEj4VXbXF2tGT8hgP4DPHB3t2XYcB+Gj+jOsysmU1JSTkxWDmevJbIzKJSwZF3xGktzU7b86yFMTIx45ott1YoxtWenQuM5FXr97mSXTuZMGuDHiABPfF3t6OXlSF8fZ5ZOG4paoyEtp5BLeansi43mz+hwitXNl7BtnTWX/t2cOBgdzdJff2+2897KtaxsPjlxkk9O6JYHkYFRnh7c2d2H/k5OuHaxwt3fnxk9eqAoUyjSlJFQlMnFnFj2pVzlSl7buyP8pO9kHvIcRX55KTP3fUlqafXh7f1tXJjk1JMBNm54dLZmrKMv45z8UJQpqBUVeaoMkkoiiCg4Q3j+GbS0j5sBQtNwcHBg06ZN3Hvvvbz55pu88847aCuytYCAAKKjo1GpVCiKgpmZGT/++COWlpYGjrrl0N6wkuXkvn6oNVpCk9Ib3a6dZUf6ejixI0hUmq0vScyx1atB3Vz4ceb9gMK8H3/ifHL7W1WiMYxlGa34jWw0gye2R44c4Y033hCJrQElJGSzbu1R1q09CoCpqTGj7vBjxIju+Pk74udkR4CrA4vGDECt0ZJZWIRd547IksRbP+zj2FUxd6ImuYWlbDl8iS2HL1Vt6+3lyMQBvvTzccbNvitTbHyZ6u3Hh+MmU1SuIjo3h1PJCfwRFcaVjKa5YbDtnnn0sXdkb0wUy37d3iTnaAwtcDgmlsMxsVXbLM3MmObvx4Q+TvhZOtG9syM9rFx40GMkWkVLdlkRUYUpnMnUVWHOULWuec43+k/vB5jo2JvU0jym/vUlxbdYXzkoK5GgrOt3w01lmbHdfHnYzwanDr50MbXHxsyZPl3HoSgKZdpislUpxBeFEJZ/kvji4JvaFITbmT59OkeOHOHJJ5/k3LnrI1VCQ68nVf369ePLL79k0KBBhgixWSmKws59l3j3s7017jNsoDcAw33dKVdrGBPgzb1DevHDsQtkFRRX7ffExKEsmziMSW+vITnn1iMupvT1444enhwLiyU9vxAXGyseGTcYraLw/eHz+v3h2gHdMHGRSOjDcCc3Nsy4F62iMGfTZi6lis6O+jISVbr1wuCJrdDyqFRq9u8LZv8+3Qff9AHm+DvZMbWfP4N8XOjezQYjWeZacha/HW8ri2w3n8vRKVyOTql6XtbfiKne3Rnv4U2gnQM9be3pbd+NR/sOQqPVkl5cRHBmOofio9keGUa+qqxR599570ME2Dmw+1o4T+z9A+NWstBiflkZP166zB7t9QIpXh0dmOjYiwE2Xnh0tGeITXeG2vryD78plGs1pJbmEpyXyNH0UI6kh7aKIcxfDV5KP2tPwvOTWXjiC4rVpnU6TqXVsic5DNtO1xMOC9mSnl1G4t2pP93MPXEw98Spgw9DbWeiKFqKNfmkl8YTW3SZ4LyjZKtSbnMGQYDBgwdz5swZLl++zLFjx0hOTkaj0dCtWzdGjBjBwIEDDR1is8rKKbzt64VFpdjbdub/5k5BkiTiMnL4v+2H2HTsYrX9OpiaUFaupqCk5r/vSdl5OHTpxAt3jaZzBzMKSso4E5XA53tOkpQtph/Ul4QkqtDqwRhXT9ZMnYVGUbh3wyZCMsSydA1hJIkeW31oksR2yZIldd730qVLte8kGJT9+VKyzyew8Y8ENlZs+2v/i5Sqyg0aV1thFqRhf1AY+wmr2ubrbMvEgX4M9HXFs1tXxrt7McHDm/+MmkCpSk1cYS5nU5LYeS2MU8l1n8Py5/0L8bexY0doGM/s2NVqktobZV+xvf4YDee4CFwEdEOYx3h7cqePD32dHHGxsmKyow1TnPrq5jmXqUgoTedCTiz7Uq8Qktdy5v+Yysb8MOIfuHe041BKBI+d3AzULam90Q8Rf08s0oE/q555d7ZliksAQ2zd8bG0w71jLzw79Wasw3zKtRqK1FmklkZzrSCI4LxjlGpv/8FdaJ969+5N7969DR2GwRgZGVFWVsYvf5y97X5Xw5PxcrdjxL+/uO2KAb3dHPntbDAFpTUntpfjU1nyv7oV+DOSpVsWrhKuE8v9NN5ETx++nDiTcq2Wu9f/QGSWWE+5oYwkWfTY6kGTJLbr1q3TzV2o4z9QQ0quFxcXc/jwYc6fP09QUBDnz58nPl43z27lypW8/vrrtbaRlpbGe++9x44dO4iPj6dDhw4EBASwcOFCHn74YVEK/jbS0vLx7GZt6DDarIikTCKSMquemxrLjO7jw5je3gR4OOBlY42/jR0PBfZFqyhklRQTlpXBkYRYtkeGkVZcPRmRgT0PLKK7tS1bw4N5YceeZv6JmocWOHAtptrSAtYdzJnq58coLw962tvjb+lMQBdX5nuOQqNoyS4rJLIghdOZUexNuUSWqvkTOUtjC7aMehpr0078Gn+aV8413b/PtYJMPgs9XG1F3MG27kx08qe/jRs+llb4dR6Cv+VQpjo9gVpRkatKJ6kkgotJh7kxSRaE5lB5ve/Zsyfu7u4AvPrqq7z99tv1ut5bWVkxZcoUTp061ejrvZGREd9//z0ZWQUYm9y6wCJcLx51O8ZGMn5Otrz84+56xVCTEX7ufLl0NgDFZTdPYxB0JFEVuVGmevny2cQZqNRqZn6/keicHEOH1KoZSTJakdg2WpMktg4ODgwaNIiff/651n3feecd/vOf/9T7HGfOnGHq1KkNCQ+A8+fPM2nSJLIq7i516tSJgoICjh07xrFjx/j555/Zvn07ZmZmDT5HWxZ8NZHxEwKwsbQgK7+49gOERlGptfx1PoK/zkcAukrKrp2tuNu3ByNd3One1YaRLu6McvXglWGjKdNoSCzI40JaMnuiI3l1+BjcrbryU+gVXji0p1X21DZUdkkpGy9eYuNF3egQ616Z+HTuxsRuvelv7YlHJ3uG2foy3M6PZ/ynotKqSS3J5WpeAkfSQjmaHoqapluqydXChg3Dn6SDkSn/i9zLuujDQM0flJvCmcw4zmTGATDP9xzGmOJnOYTunQfhbOFLV1MHbM1c8DIaxGLq//daEBqj8nrv6+tL586dAUhKSqrz8U1xvVepVDz22GMMnfrmbferrFh8u9Xe1Botw179os7nrs3F2BQe+HhTxXlb5jJzLYEsiaHIDXWXTw8+mjCVUrWaaWvXk5DXvpfl0wdZkkRiqwdNktgOHDiQoKCgOl0kTExMGnyerl270r9//6qvZ599ltTU1FqPy8vLY/r06WRlZeHv78+GDRsYOHAgKpWKb775hmeffZa9e/dWLW8g3Gz/vmAm3BnIXcMC+G7P7YdiCfpnfdmIIgr54fhZfkD3/ssyDO/pybi+3vT2csLVxgpvP2vu8++FoihsvnyZ1/bub1dJ7a1kX7HlDGrOEAQEAbpqhGO8Kocwd8PZsituTrZMc+5fMYS5jOjsHC6XRrIv5TJhBfqp9tinixtfDH4EI8mIF8/9zraEKzR3Uvt314cylwBHKr7AzqwTY7u4GyoswcDqM8UIwNzcnC5duhAQEMD48ePp1q1bo87ftWtXXF1dq13v68LQ1/vKnmBtE94c+7uiMhUhiaJ4T210Nx3aXyJhKsuYyMaYGMmYGMkYSzLGshEmsoypkYyxbIyJfH2bkSxhLMuYGBlhLMnM6dGLUa4eFJeXM/m770kpaL2FGlsSI0lC0w5/H/WtSRLbAQMGsHPnTlJSUnB0dLztvlZWVri5udX7HKNGjSI7O7vatpdeeqlOx37wwQekpqbSoUMHdu3ahaenJwCmpqYsX76c/Px8XnnlFb7++mueeeYZfH196x1fW3fmTDRarZaRgZ4isW0htFo4djWmWpVqG0sLvvjHbLq72LHmrKiaWRO1Vsu+qGvsi7pWtc3GwoJpfn6M8nKnh509vbo50Fd2ZIHXHWgULVllBUQWpHAyI5K9KZfILa/fyIXxDoG81XcOWkVh8bENnMqI1fNPpV8ZZYX8GCN+h9qryilGdaUoStX+xsbGLFy4kFWrVtGpU6d6n7stXO9Fx2nLY21ujpmREf8ePrYqeTOSdImckaR7LEsSxrKEkSwjSzJGku6xkaSbw1y5TZakqnnNRhXbJSr2kSXkysc3fEmSbi1dqfI5VGy//hhu3I+q51JFWl61reJnqvxvrqb/UvU1xU5RFCauWUtaYZFe2hNAlmQxwkIPmiSxff7551m8eDG2tra17vvkk0/y5JNP1vscRkZGDQkNgPXr1wMwZ86cqovcjf7xj3/w3//+l8LCQn744QfeeOONBp+rLUvPLcLHufZ/Y8FwsvKLefvH/ax7fg73BAbw4dHjhg6p1cgqLmb9hQusv3Chatvw4aZMcOxNf2sP3DvaMdzWjxF2/vyzx3RUWjXJJTkE5yZwKD2UE+lhNQ5hftB9BM/4T6VUU87ik//jQoYYxiW0bAsWLECSJLZv305OTg4WFhYMGDAAZ2dnFEUhOTmZ8+fPU1xcjLW1NdOnTyc3N5egoCASExNZs2YNkZGR7Nu3r97X79Z8vRelOlqm/p5OWJqZI0kSS/oMuOU+t6oTo9zwSFGuP1eUytm6lduvv657Tal6rK3YV6soVc/LFa1uf0VBi4JWW/Fd+fuXFq0CmqrHChqt7jWNokWjKGi02orXdfuotZXftbp9tLp91Vrd8eqK/StfV2uvf1W2Va7VoNFqKdcqfDBuEuHpmSKp1TMjSaJcEYltYzVJYtuxY0c6duzYFE03Wnh4eFWRqSlTptxyn06dOjFq1Ch2797N3r17RWJbgysxyUzo74uVhTl5xaWGDkeoweXoFNRaLSM83EVi20gnTqg4wTlAt6SOqSwz1seLCT4+9HHshrOlNR7Odkx3GYCiKOSXlRFXkkZQdgx7Uy9zPi2Xl3tNZKHPEHJVJczY9yUZZaLqsNDyrVu3jnnz5pGbm8vrr7/OihUrbup9LSoqYtWqVVXXzN9//x3QJZePPvooR44cYePGjSxcuLBZYm4J13tRhLLlCXBxYM3j96HRaPn3+j2cj0ikXKNBrdZSrtZSrlWLHvbbUMZOIq9MfObTNxkJjUhsG63Rie3AgQP58MMPGT16tD7iaXJXr15fdzUwMLDG/QIDA9m9ezchISHNEVar9Oe5cO4c4MeMYT3ZuD/I0OEIt5FSUIC3tahirW8qrZY9EVHsiYiq2mZnYcH0Hv6M9HDH396OgC6u9O7qziLvMWgVBQlIKs5l+l//o6QVrKsrCADffPMNmzdv5r///S8vvvjiLffp2LEjr732GqamprzyyiuMGTOGRYsWsWDBApKTk3nllVf48ccfmy2xFdd74e98HGxY/+QDADz84U9cia29LotQnYSERivmguqbLKoi60Wjq8gEBQUxbtw47rrrLsLDw/URU5NKTr5e9MXZ2bnG/Spfy8/Pp7Cw5h6VsrIy8vPzq321F4cvX0OrKNzR28vQoQi1uJicjIWJCdYdDFuYqD3IKC5m7fkgHv71N0b872uG7XmVRSe/YGPMUdRaDQBT9nwuklqhVVmzZg2yLLN8+fJa912+fDmyLPPNN99UbassPnXx4sWmCvEm+rzeN/RaL3psWw5na0t+fGYuRrLEY9/8KpLahpJ0dSkE/ZIlCbXosW20Rie2Tz/9NCYmJvzxxx/06tWL5cuXk5GRoY/YmkTBDdXbLCwsatzvxtcKblPx7Z133sHKyqrqy9XVVT+BtgJWIaXkZBfh52hn6FCEWuwMi0CSJO4O6GnoUNqd7Cu2HDtWyuu/nOX9q/uQJImxTqIgndC6hIWFYWVlVafiT506dcLS0pLg4OCqbfb29lhZWZGbm9uEUVanz+t9Q6/1knTruZpC87Kz7MjWfz6EqbERK/63nQuXEg0dUqsloZvjK+iXJJb70YtGJ7YfffQRYWFh3H///Wg0Gr788kt8fHx45513KC1t+2PwX375ZfLy8qq+EhISDB1SswoNTaZTJzMszE0NHYpwGweidL3r47xF77ohbU+4rKsm6dzD0KEIQr1otVpyc3PJycmpdd+cnBzy8vJuqvBZXl7eoKrILUFDr/VSjfVpheZiZWHOtucX0sHUhH+t2cXRG1YOEBpGK3oW9U5GEj3heqCXBS09PDzYvHkzJ0+eZOTIkRQUFPDqq6/i5+fHhg0b9HEKvalc3B2guLjm5TlufO3GY/7OzMwMS0vLal/tyeFDoUiSxPQh4oN6S6ZFV+XX3070rhtSrqqUYk05fa3bz8gOoW0IDAxEURTeeeedWvd999130Wq1BAQEVG3LysqiuLgYe3v7pgyzGn1e79v7tb61sjA15Y8XF9HJ3JQ3ftnHnvMRhg6pTVBrRAKmb7KEKB6lB3pJbCsNHjyYw4cP8/vvv+Pr60tCQgKLFi1iwIABHDx4UJ+najAnJ6eqx0lJSTXuV/mapaVlq73D3ByOHA5DURTG9PE2dCjCbVhGS4RHp2Nlbo5dvImhw2m3NNc6EZOZQ7cO4kOx0LosXboURVH48MMPeeyxx4iLi7tpn/j4eB5//HE++OADJEni0UcfrXrt0KFDAPTr16+5Qm4R13sxxdZwzI2N2fHSQrpYmLPql8NsP3C19oOEOhFDkfVPElWR9UKviW2lmTNnEhwczBdffIG9vT0XLlxgwoQJzJgxg7CwsKY4ZZ3dWBnxxoqJf1f5Ws+eYk7i7ajVWnJzi/F3bb678ELDHLwUhSRJ3Dmgu6FDaddOxMVjLMv06upU+86C0EIsXryY+++/H0VR+Pbbb/Hy8sLT05MRI0YwcuTIqufffPMNiqJw7733snjx4qrjf/31V6ysrGpcdqcptITrvSgeZRjGssy2FxZg27kjX+44yQ8HLtR+kFBnGjFkVu8kSRLvqx40SWILIMsyjz/+OFFRUbz22mt06NCBnTt30rt3b5544ommOm2t/Pz8cHNzA+DPP/+85T5FRUUcPXoUgIkTJzZbbK1VRHgKVh3NMTNukmWRBT3ZfVbXuz6un0hsDem3YN2SIjNdexk4EkGon02bNvHf//6Xzp07oygKcXFxnDx5khMnThAbG4uiKHTu3Jm3336bTZs23XRsTk4O8+fPb7Z4xfW+fZJl2PrcQzh2tWTdofN8s+u0oUNqUyRJEj22TUBCVEXWhyZLbCt17NiRN954g6ioKKZNm4Zarebrr79u6tPe1oIFCwDYvHkzsbGxN73++eefU1hYiJGREfPmzWvm6FqfI0fCkSSJKYP9DB2KcBulKjWFJWUEuDsYOpR2LTIri3KNhsF2HoYORRDqRZZlXnrpJVJSUti6dSuvvvoqjz32GI8++iivvvoqW7duJTk5mZdffhkjIyNDhwu0gOu96LBtdluenoeHXVd+PXqFT386auhw2hRjWZc2qDUaA0fS9kgSIrHVgybpYktPTyc4OPimL32X+c/JyUFzw39clRUYi4uLyczMrNpubm5ebd7Mc889x7fffktqairTpk1j/fr1DBgwAJVKxZo1a3jttdcAePTRR/H1Fcty1ObA/hCee34q4/p25/cTwbUfIBhMZFImfb1rXs9RaB5Jefm4W1obOgxBaJAOHTpw9913c/fddzfbOVvr9V4MRW5e65ffj7+zPbtOh/LfH/cbOpw2x9RUlzaIBEz/JKha615ouEYntocPH74pgc3Ozq62z41ruHXo0KHavJfG6Nev3y0LWLz//vu8//77Vc8XLlzIunXrqp5bWVmxY8cOJk2aREhICAMHDqRz586UlpZSXl4O6IYkffTRR3qJs61TqdTkFZXSU/QEtnjHg2Po392F0Z4eHI6JNXQ47VZQcjKzuvbE3rwT6aWFhg5HEFo8cb0XavPV0ln083Tm4NVrvLru1kPPhcYxqeix1WjFUORb+eGB+xjiplv1YNXR43xx6vow+Ak+3jw+ZDA+NtaUqtWcT0rmgyPHiKlaQq3uxaP2T3oKl45dbtre6/e3UdUzOZ7l1od3B9510/Z3E1tnkctGJ7Zjx46tuiN5YwIrSRIeHh707t276qtXr1507969RdzBHDBgAMHBwfzf//0fO3bsICEhgY4dOxIYGMjChQtZsmQJstzkI7XbjLCEdIb4u2Esy2IdrhZs+8kQnrxrJNN7+IvE1oB2hoUzOzCAu9368HXEcUOHIwhtmiGv9y3g40678NGC6Qz38+BMWDz//Hy7ocNps4yNdf+dlIuhyDU6l5jEu4eOkFJQULVtuLsbX9w9k20hoXx07DiWZmY8NWIY6++/lylrv6dQpUICVPX4/PxnYgjfRZ6stq2+Se2NHj72AwXlpQBoy1Sc/vxzli1b1uD2DEUvQ5GtrKzo1atXVfJa+b1jx476aL5Gt5ovUx8ODg6sWrWKVatW6SegduzgxSiG9nBnQv/u/Hku3NDhCDXIyi+mtFxNfydRkdeQDsfEolUURjl4i8RWaFUuXbrE559/zrFjx0hMTKSoqKjGfSVJQq1W6+W8rfV63xJu5Ld1bz0wiQm9u3MlJoXHP/nV0OG0aSYVc+dFj23N8svKuJiSUm3bdH8/kvLyeX7X9ZEESfkFbH1oLv2dnThS0dFQn6HImWWFXMqpeRmz+grOTSZHVQKApriUxMREvbXdnBqd2MbFxeHq6qqPWIRWbOeZMF6aM447B/iKxLaFi0vLwcfJxtBhtHtZpYX4WYnh+0Lr8dlnn7FixQo0Gk21EVpCzURa27RemTWWmQN7EJmSwcL3Nhs6nDbP1FiX2Io5tvVjLMsUlauqbcsv0/WOSjf8lVAroie8sRqd2IqkVgAoLlVRUFJGoGc3Q4ci1OJ0WDz+rvYEONgTnJZu6HDarZDcVO7o5oO5bEypVj+9WoLQVE6fPs3TTz8NwLJly5g2bRpTp07F2tqan376idTUVPbt28emTZuwtLRk9erVODo6GjhqoanIMsjIuiq5su6DuwxIsoyRLCNLVHyXkGUJWZJ0zyuOu3GbdMO+lc8lCYykyv10xxnJMhK66tyyJLF4zAB6ujgQn5nLvR9tpGXU4W7bjI0re2xFYlsfP1+5yvoe9/JQv778HhKKpZkZL48ZTVRmFifj4wHd6I7yeryvM1x7cb9Hf8oVLecy4/jg6n4i8hv+mW7HhCfoamZBcnEeWyLO8KL8fw1uy5DEwqOCXnQNKyU6Io3evd2wiSgly9fc0CEJNfjjZAgL7xzIrICeIrE1oP0p4Yx27M4k5x5sS7hi6HAE4bZWr16Noig888wz1YbzmpqaMm7cOADmzp3LU089xaRJk3jttdcICgoyVLgtRp+euir0x159DAUqkjZdD43um1Q1D7fm7brnt3rtxuOuv37z9uqv33r/umhpQ6vVGg33vb4eI5FnNQtjo8o5tuINr4+ziUks+307H02fysoJur+XkZmZLPr5V1QaDaaVyyjVcSjygZRwLuckkVycj2vHLjzuN4pNoxdx9/6vSSzOrVdsGaWFrA45xKXsJBQUxjn68myfOzH/5JN6tdNSiMRW0JsTxyPp29ed4cN9+SMz3tDhCDWITtGtozpUjLYwqD8Sr/JGv2lMcPIXia3Q4h0/fhxJkqp6bSv9fUhy3759+fTTT5kzZw7vv/8+b775ZnOG2aKMHeFHFytdrZFytW74tqJUvGcKKFQ+BxTlhue617UV762iVVCqvt9in6rvStVzRVHQVrSrrTxv5fHavz1XQFvxWKutaEd7/TyVceu2VbZ3vZ3K7UrVcTV/1z2uiE+rRdGCRlFAq6BRdM8rX9MqoGi0aCuP1yq6uZ0VMbz08gxOhcSJgpXNyEz02DZIPydHPpw2hZ+vBLP/2jU6m5nxxJDBrLl3Ng9s2oxcccOorsWf3r68p+rx+ax4jqdHs/vOZTzsO4w3Lu6uV2zH0q9xLP1a1fPj6dGUlJXy+OOPU1JSUq+2WgKR2Ap689feKzyxbDxjx/Xkj59EYtuSJebl49G1q6HDaNeK1SoK1WX07irWFRZavrS0NMzMzHB3d6/aJssypaWlN+07a9YsTExM2Lp1a7tNbHv1cOL1f06ntEzNA499TVF8vqFDanNefmUmecVlhg6jXamsiixuJtTPv8eP5WR8Am8fPFS17XxiEsceX8r9vQP5IyQMaPg6thmlhZzPSiCgi34Kg+6Ku8LSnndgZNT6BviL9WwEvcnPL6W4WEVAgPig3tJdDEnEzNgI35zWuU5ZW6C51omojGzszDsZOhRBqJWFhQUmJibVtnXu3Jn8/HzKyqonFyYmJlhYWNxy3dn2wNmxC5+8OQetVuHJJ9aJpLYJiSJmzatqKHIjlpVpj3xsbAhNz6i2LbukhLTCIty6dMG84m9rY5br0eckAakVl70Tia2gVzHR6djYdjZ0GEIt/jwXhiRJzBjW09ChtGvHYuIwkmUG2bgZOhRBuC1nZ2cKCwvJz7+epHl7ewNw9uzZavsmJyeTl5fXLpOOTh3NWPPhAoyMZF5+8SdiYzMNHVKbpm2Hv2OGZFzRg6cWc2zrJSk/n0AH+2rbbDta4NC5E4l5+TdUm25YYmtv3on+Nq5c0dPyP9Pce6FWq9G0wvWKRWIr6NXJU9eQZYkRAR6GDkW4jbPhiWi0WoaLfyeD2hocAsB010ADRyIIt9e7d28AwsOvL+c2ZswYFEXhzTffrBqSrFKpeOqppwDo1atX8wdqQMbGMhs+XYJFB1Pe/Ww3QUGxhg6pzaqotdMub54YkklFAlaf6r0C/HDhEhO6+7By/DhGuLsxxbc7390zm2JVOdtCQjE31s0M7WftSvjsf+NsYVVjW9NcAnh/4N3McA1kiK0H97r3ZeMdi9AoCmsjT1XbN3z2v3lnwMzbxvbtiHk80n04dzj4cIeDD2/0ncriHiP49NNPW+V/X2KOraBXe/+8zCOPjGbKIH+OB8caOhzhNjJyi/B2FOvZGlJCXh5lajUDbd1r31kQDGj69Ols2rSJLVu2MGjQIACWL1/O559/zv79+3FxccHPz4+IiAiys7ORJIknn3zSwFE3r+9WLcSma0fWf3+M/b9dMnQ4bZpckdm2xg/erZmJqIrcIBsuXESl0TCvXx9mB/akuLycyympPLfrTzKKinCz0iWysiRRplGTX35z7YJKiUW5OHSw5JXek+hsYk5BeSmnMmJZHXKoWkXkDka64c2ZpUW3jS2mIJN7PfrRrYMlsiQRW5jFW+d2snLFCh5++OHG//DNTCS2gl5lZxdRWlpOXx/9TGAXms7VuBTG9+1OJ1NTClWq2g8QmkRCXh6uXUQhL6Flmzp1KitXrqRbt+trlXt6erJp0yYWL15MdnY2J0+eBHRJx/PPP8+8efMMFW6zW/X6fXi62bJ79yXWf3/M0OG0edcTWwMH0s4Y13NZmvZIAowkSVft+wZbLl9hy+Vbr4BQORS5WwdLfo27QEF5zUXRLuUkseDo+lrj6GPtgkqjZmP0mdvup6uwvKfaNk1xzYl1S6f3xFZRFLKysiguLsbNTcwba49iYzPx9etW+46CQe0/H8mEfr7c3bMHGy+K3gVDOZuYiI+NDa4WXUio5/pzgtBcLC0tWbly5U3bZ82axejRo9m1axcJCQlYWVkxceJEfHx8DBClYby4fBKD+npw7nIcH7y3y9DhtAtVQ5ENG0a7UzkUWVRFrtlYby/Cn3uWVUeP88Wp03U6xsxIl445dOjMN+En9BLHABtXfou/RFpJgV7aay30ltgGBQXx1ltvsW/fPoqKipAkCbVaXfV6Tk4OL730EpIksXr1akxNTfV1aqGFOXsmmh49nBjY3YVzkYmGDkeowf4LUSiKwngfb5HYGtAfIeE82KcPd7v34dPQw4YORxDqzdramvnz5xs6DIOYO2sw0yb0Ii4ukxef3mTocNoNMRTZMCqrIovE9tZe3buPjhX5TVphYZ2Pq+yxff3ibpJL8vQSy+dhR/TSTmujl8R2w4YNPPLII5SXl9e4T9euXYmJiWH//v3MmDGDadOm6ePUQgu0e9clHlowgmlDe4jEtgVTa7XkFpYQ8LdKfULzOpOYiEbRMsLeSyS2QosVHx+PkZERzs51W84tOTkZtVrd5kduLbhvKNnZRTz6yBpDh9Iuiby2eVWua6pSXx+K/MMD9zHEzRWgWi/ljdv/7uk/drIzLPyWr9Xk0KMP42J1c1Glnqs+QVXP6r2zA3ry3tTJN23/6vQZ3j9S/6kEdYntDg8PvrtvNgBFKhV9Pvmsar/KHluVpuY8SqibRie2oaGhLF26lPLycp566ikWLFjA5MmTycrKumnfBQsWsG/fPrZt2yYS2zYsPT2fsnI1/bu7GDoUoRbhiRkM8XfDWJbFHVgDyigpxMfSztBhCEKNPDw8cHR0JCmpbstJjBgxgoSEhGojt9qi4hIVyx7biFot/n42p8oeW61WZLbNyVjWrW/693VszyUm8e6hI6QUXB/2unLffjqZmlXbb9GAfkzy7c6JBq5xvTs8gjVnz1fbVt+k9kaLf/6VgrLrNUbSChs+bLe22IKSk7l344/c3zuQaf5+1fYzMaqsNi3mLjdWoxPbVatWoVKpWL58OR9//DFw/Y7O340bNw6gqsCE0HYlxGbh5W1P17BScvzNDR2OUIPDl64xtIc7E7v7sCs8wtDhtFtXcpKZ4OSHhbEpxWpRyEtomeo77LM9DBN99umN5Oe33kIrrdX1ObZt/3esJamcY6v5243w/LIyLqakVNsWlZV90/G9HadwLDaOnJKG/TeTWVR803ka42paWoNj+bvaYitUqbiYksIdnh43vWZW8b6WisS20Rq9ju2BAweQJIkXX3yx1n2dnJywsLAgPj6+sacVWrhz52IwMpLpGVC3YWuCYew8HYqiKEzx8zV0KO3aX8mhSJLEDBexnq3QNpSWlmJs3PYXXkhJzjV0CO2SmGNrGEYVc2zLGtBL2s/JEbcuXdgeGqbvsFo9E7liiLembY9waQ6NTmyTk5Pp2LEjLi51G3baoUMHSkpKGntaoYXbvUtXjGjixF4GjkS4ncJSFYUqFX0dRRVrQ9qTpLvBMM5R3GAQWr/k5GQyMjKwsRHrZAtNQ64YEqsVPbbNqmq5nwasYzuzRw+KVeXsi4pq8Pln9vQn5NmnuPT0k3x7zyx8bW0b3BbA7sULCf/nMxxYuoTHhwxCliSDxFbZY1umFXNsG6vRt1PNzMwoLS1FURSkWn4hSkpKyM3NpUuXLo09rdDCJSXloFKp6dvXDXYbOhrhdmKSsgnwcMAyWiLfS3xIMISiSHPySssI6OyE5lonjLzrXk1REJrCkSNHOHToULVthYWFvPnmmzUeoygKubm57Nq1C0VRGDJkSBNHKbRXVZ83xSWrWZlU9NiW17Mmh5EkMcWvO/uirlFS3rBeyf1R0VxKSSE5vwDXLlYsGzqELXMfYOb3G0nIq18l4YyiIj4+doJLKSkowHhvb54dOQKHTp15Y/+BZo+tqsdWDEVutEYnth4eHly5coXIyEh8fW/f27Br1y40Gg09e/Zs7GmFViAxIRtXN3HHvqU7ERJLby9HBnZ34YAmwdDhtFsRmZkMdBFD94WW4eDBg7zxxhvVblgXFRXxxhtv1HqsoiiYm5vz8ssvN2WIQjtW2WMrRiI3r8qhyKp6FoUb4eGObceO/BEa2uBz/+fAwarH55KSOBYbx96HF/HIoAGs3Fe/ZPRobBxHY68XsDoWG0epWs3igf354tRpMoqKmjW2yuV+Stt4sb3m0OjEdvLkyVy+fJlPPvmEzz//vMb9srKyeOGFF5AkSVREbieCgmLx8rbH19mWiKRMQ4cj1OCPUyE8Nm0oUwb7c+CkSGwN5XBMDINdXRjt6cExrho6HKGd8/DwYPTo0VXPDx8+jImJCcOGDavxGFmWsbS0JDAwkIULF+Lj49McoQrtUOUNF42oitysjBrYYzuzhz/ZxSXVksnGyigq4lxiEgEODnppb1d4OEsHD6SHvR0ZMfVLbBsbm2nlMkpakdg2VqMT22effZYvvviCL7/8Ent7e1asWFHt9ZKSEn777Tf+9a9/ERcXh62tLY8//nhjTyu0An/uvsy99w1m5ogAPvhJrM/ZUqVk5aMq1+iWZxIFyw3m9+AQnhs1kql+fhyLFImtYFgLFy5k4cKFVc9lWcba2pqDBw/e5ihBaB6Via2oity8jCrm2JbXo3iUmbExE3y82RYapvdlBWubAlmvttBfW1C/2CqHeJeKdWwbrdHFoxwcHNi0aRMmJia8+eab2NnZVa1hGxAQgLW1NQ899BBxcXGYmZnx448/Ymlp2ejAhZYvJiaD8nINQ/zcDB2KUIuEjBycbMR/l4aUVlhEqVrNAGcnQ4ciCDdZu3Zt1ZJ+gmBoVcv9iLHIzaohc2zHe3vRycyMP0L0Ww3ZvmNHBjg7cSU1TS/tTfP3Ra3VEpKe3ui26hubieix1Ru91OKfPn06R44c4cknn+TcuXNV20NvGEvfr18/vvzySwYNGqSPUwqtRHJyDq5OXQwdhlCLMxEJ+Djb0d3GhsiKG1NC84vLycXbxtrQYQjCTW7svRUEQ6ta7kcMRW5WlT22ZfWYCzqzhz9JefmcS0q65etPDR/GUyOGMfqrb0nKz7/lPtP9/Rjr7cXh6BjSC4tw7WLF40MGo9EqrLkh7wCIen4Fv14N5sXde2qMae29szkRH09Ehu7zzngfL+b06c3354PILCpusthqUlltWsyxbTy9LTI3ePBgzpw5w+XLlzl27BjJycloNBq6devGiBEjGDhwoL5OJbQiFy/E4e5ui7tDV+LScgwdjlCDXafCmDu2P7MDA/i/w0cMHU67dSohAX97O3w62xFVkGHocARBEFqkquJRBo6jvamcY1vXIcWWZmbc4enB2vMXatyng4kJZWo1+WVlNe6TmJdPt06deHXcGDqbmVFQVsbJ+AQ+PnaCxLz8G9rSpTWZtRR/upadzf29etGtcydkSSImJ4e3DhxifVD1OPUZ2+1UzrEtFT22jab31dN79+5N79699d1sq/bhR3Pp29cdgEcfWcO1a40f5tBa/Ln7MnfdPYC7RwTyydajzBjakzcWTgJg04EgPvhZzL1tCULi01BrtAx3dzV0KO3atuBQFg3oz11uvfgwuP5LDgiCPixZskQv7UiSxJo1a/TSliDcSKqqiixS2+ZkXENVZAndkj6av/175JeV0fOj1bdts69TN365cpWC2ySPF1NSmLfl51rj6+voiEqtZkPQxdvu99aBQ7zFodrb02NsoHuPbjX31liWxe+ynug9sRVubceOC6z77ih5edeHOOw/ePNSCB+t+pMdf9R8Z+vvJk3qxQsvTb9p++SJ71FeXvfJ/Tcm35UOHgjhrf9sq3MbDg5WbNq87KbtGo2GoT3c+ATYez6cEyGxfPDojDq3+3dfP3svA311CdictzcSkdh+e7b0eaMgNTsfT2sxDNaQrqSlodZqGW7vJRJbwWDWrVuHJEkN/qBVeaxIbIWmIlckB1oxFLlZGVUkYH/vrx3r7UX4c8+y6uhxvjh1us7tmcgyPezs+OfO3XqJb4CzM1uDQ0gtbPxa8PqO7Q4PD767bzYARSpV9XNV9NgKjScS22ZSVqomJ+fmoRHvvbuDM2eiq54XFdV8V6gmhYWlLFrwdbVt9UlqK1Um35VUqoYNiXjun5uIjbm+vM+qLx/C3b4rAGXlGsrKi+tVUe9Wth69wv92nCC3sKTa9hlDezJ/fH/cHLpSUFzG/guR/N+WulfxvDFRvNHQf6xGpa57zDcm35X2nAvn5TW76tyGo7UlO99++KbtT366lRMhupL5+rhRUOnitWSmDemBnYUFGcXFtR8gNImUggI8O4v1nwXDWbBggV6rjQqCvlVVRRa9XM3KSL7578Kre/fR0dQUgLR6JpTlWi19V9e8VGh9fXbylN7a0ndsQcnJ3L3+BwC0SvVbA5VzbIXGa3RiW98hS+bm5nTp0oWAgADGjx9Pt27dGhtCq1ZYWHrLhLe+9NFGTcl3feXnlVRr5+rZOKZM7YN/jhlhXeufuN9KaXk5WfnVk6954/vz0IQBfLz1CFdjUjE1McbF1qrebReUlDH79XXVttUnqa1UmXxXKmvgjYLHP/6FaynXCzrlFZVeb1NPNwoA9p6PYPrQnszuFcBXp882uj2hYS4lpzDN348upubkqkprP0AQ9GzdunWGDkEQbqvyvot+F48RalM5x/ZGMTmifkpdFKpUXE27dZVkYyNZzBfXk0YntpVDluqqcngSgLGxMQsXLmTVqlV06tSpsaG0Sv94eiL/fH4qKSl57N51iZ07LlDfG5AdOpiy6cdlyEYS16LSWfvdEaKi6l/+fPyEACbcGUBOThFnTkez/vtjlJSoaj/wb/7z9r2YmhqTlJTDrz+fYe+eK0yd1pep03oTdqJpEqbOFmYsmzmcZ7/YxpnwhKrt0SkNqPCrKDclzQ1xq+S7IXKLSvXSTm2OXY1BqyiM9vQUia0B7Y6IYHoPf2a69mb9tTOGDkcQBKHFMTKuqIp8mw9MN46c+nz7cdbsrv739K7hATw4th/uDl0pKlVxJSaFZ/+3vd6x7HhrCU42N99Er+9IL6h51NjaPWf59PdjTRLb8J7ufPYP3RDZ4lIVI5+tuZfSSPQsNgljSbyv+tLoxLZyyNL27dvJycnBwsKCAQMG4OzsjKIoJCcnc/78eYqLi7G2tmb69Onk5uYSFBREYmIia9asITIykn379mHUzsaYf7fmMBeC4igrK6d/fw8ef2IcVlYd+GHjidoPrhAfn8V77+4gOiaDjhamzL5nEJ98+hCPPrKGpKS630Xbvy+Y1JQ8srML8fS04+GlY/D2tueF5zfXuY2SEhVffL6Pq1cTUbQKw0d059V/38177+5Ao9EyaLA3NFFiO9TfHVmSsOvSiV//vQALc1MuRafw0a+HScup39CYDmam7HzrYWRZIiIxgy+2nyC8AfN4pwzyZ8rgHmTnF3M8OIavd56iuKz+i29/9MRMzEyMiU/P5Yf9Qey/EFnvNuoqo6gIPzvbJmtfqN3+qGgURWFMt+4isRUEQbgFicqhyLff70JUEh9vPUJqdkG17Y9NG8rc8f35bvcZrsSmYGVhzvAAjwbH89f5CDbuP19tW0NGelVavnorhaXXR7il5zZ8zmhtsV2OTmHhez9y94hAJg3wu21bRmKKQpMwMZJRRJ+tXuilx3bevHnk5uby+uuvs2LFipt6X4uKili1ahVvvPEGAL///jsA69ev59FHH+XIkSNs3Lix3a2Td2MCW1kpef6CEfVKbENDkwkNTa56fvVqIl9+vYS7Zw/k80//qnM7u3ZeqnocG5tJYlIOX361mO7dHYiMrFvvb35+Cb/+cj1xjYhIpVMncx6YM5T09Hzc3Jpu3qCzrRWyJLFk8mA++OkQhaVlLJs5gi+euocH3tqAWlO3AUuxadm8vn4PkUmZdOpgxoNj+/Hd8w8w562NJGTk1jme3WfCSMrKJyu/CG8nG/5x10h8XexYtnprndsoKVPx4c+HuHgtGa0Co3t78e4jU1n5/R52ndHvQueVrqSmMt7bGwtjY4obsJ7aDw/cxxA33R3yGd9vIDS9/Rb2mh3Qk/emTq56Xtf3Q63VklNSQo/OjmiudcLIu/FFMARBENoSuY5VkQtLyrgSk1ptm2c3ax6eMoSnPv+NU6HxVdsPXrrW4HiyC4pvOk9jhMankVukn6kotcVWWKriSkwqw3t61NqWkSyGzDYFXVVkQ0fRNjQ6sf3mm2/YvHkz//3vf3nxxRdvuU/Hjh157bXXMDU15ZVXXmHMmDEsWrSIBQsWkJyczCuvvMKPP/7Y7hLbvwsJTaJTJ3O6drUgJ6dhQ08VBcLDUnBx7tqoWCIjUikv1+DsYl3nxPZWQkOTmTqtD4cPhXHnxEDsrDqSkdf4ebx/J8tgYmzE+z8drLpQvbxmF3/936MM8nXlZGhcndq5EpNa7QJw8VoSm16ex5yxfXn/p0N1jue341erHl9LziIhPZcfXp6Hv6s9YQl1W+4pt6iUHw5cr5AdGp+GpYUZC+8c2GSJ7d6Ia0zw8WFaD39+vnK19gNuYfOly3x8/AQ5xbrCXn9P8G40+PP/kV1ccsvX/q6mdnqu+gRVPeYY35h8V9oRGsYzO+pe2MvZ0pLDjz1y0/YlP2/lSGwsADvDI5jTpzduXazYF3mNiIzrBdV6dXPg+TtGEehgj4LuhsL/HT5alfiGpKczwt1dd7GrIYZZbn14d+BdN23v9fvbqLR1fz/Wj1rAEDuPatt2Jlxlxdm634QR2pegoCB+/PFHzp07R3p6OpIkYWdnx6BBg3jwwQfp16+foUMU2rjGFI+aMbQnSZl51ZJaoW6MjCSxeHAT0N0wEG+sPjQ6sV2zZg2yLLN8+fJa912+fDmvvvoq33zzDYsWLQJ0xadeeeUVLl682NhQWj0fn26UlZVTWNi4AkvePg7ExDRurVwPD1tMTIzIympcb5GPjwNZWYXs2xfMxEm9uGt4IN/urnsp+LrKrEiWo1Oyq7blFpaQW1hCN+vODW5XUSA4Lg03+y6Nii80Pp1ytQY3+y51Tmxv5UpMKneP6NWoWG5nV3g4/zdlInd292lwYltSriaz6PqNmZ3hEVXJXqX3pkzGzMiozkltpYKyMu5cs7batvoktZUqk+9KpeUNK+z10Jaficy6obBXyQ2FvdRqyjUayjVaStTqqvX9OpqYsPbee9gXFcXKv/ZjLMs8PWIYa++dzcgvv0Gt1XIoOoaRHh6M9/Fin+ZijecvKC9l8t7q86Hqk9RW2hJzntUhh6qel2rEIvHCzYqKili6dClbtmwBbk4qjhw5wocffsicOXP4+uuv6dixoyHCFNqBynVs/75ual308nQkKjmTR6YMYc7YvnTuYMbl6BTe//lQg5cPnDLYn1kjAlFrtARFJbH6t6NEJTegxkeFn/+9gC6dOpCSXcBvx67w/d5zaBvYpafP2GSRgDUJsY6t/jQ6sQ0LC8PKyqpOxZ86deqEpaUlwcHBVdvs7e2xsrIiNze3saG0KsOG+dDVuiMhwUmUqdT06+vOkofvYOeOi/VaquehBSMJDU0iKTEHCwtTZt0zEB8fe1Z/sqfObTg6dWHChABOn7pGXl4J7h62PP7EOCIjUgm+mljndiZO6oVarSEqMg2tojBsmA+zZg/km68Pcv5cDFqtlhGBHk2S2F68phuO7eHQtWouiqWFWcWFIb9Rbfu52BGVnFn7jrfh7WSDibFRVQLe4Fhc7cjM13+PdyXTCA35xWX0tnPQW5tlajVlNwxrtu7QgaFurrzy5956t6UoSrWkuaH+nnw3VG5pab3b8bS2pksHcz45foKUAt3v6uoTp9i1eAFOlp2Jz83j9+BQ/jV2DJN9u7Mv9GKNbSkKZJY1/vehVFOul3aEtkur1XLXXXdx8OBBFEXB0dGRcePG4eLiAkBiYiIHDx4kOTmZzZs3k56ezt69e8WyQUKTuN5jW/9jbaws8Hezx8vRhv9u2k+5WsOj04byv6dmc9fKdRSW1K9z4fDlaK7GpJKaU4CzrRUPTx7MmuceYO5/fyApM69ebWXmFfG/P05wNSYVBYXRvb1ZNnM49l061WvpwqaIDW693I/QeEaSuGGgL41ObLVaLbm5ueTk5NC16+2Hv+bk5JCXl4eFhUW17eXl5e2uKrJarWXmXf15Ytl4JEkiJSWX79cd5fffqk/w33/wZd57dwd79ly5ZTudOpmxYsUUulp3pKiojKioNJ59+gfCw1Kq9pk0qRcvvDSd8WPfuXUs5Rr69fdg9uxBmHcwISOjgNOnolj//bFqi59/+NFc0lLzeO//dtb4c82fPwJ7B0u0WoXExGw+eG8n+/bpbmRkZBTg49Q0hYni03M5eDGK5+4fw1s/7KOoVMU/7hpJbGoO58Lrnpw/Om0oV6JTiM/IpaO5KQ+O7Yuvqx3vbj5Q5zZcbK2YMtifY1djyS0swcvRmhX33EFofFpVAl4X04f2RK3REJ6QgVZRuKOXFw+O7cfq347WfnAjRCZl0L+7CzJNs5TCrICelJaXszui/kWwLExNOfzoIxjJEiHpGXx87DghDZjHe1dPf+7q2YOs4iIOx8Ty6fGTFJXXv7DXV7PuwszImNjcHNaeC+LPOvxMMdnZZBcXc1+vXvzv1GlkWea+XoFEZGSSlKe7CZNbWkpxeTl9nZwgtOa2LIxNOTD5KYwkmdDcVD4JOURoXv3nec1w7cVM195klhVyJPUan4cdpkhd/4roQtu1fv16Dhw4gImJCR9++CHLli1D/luFVK1Wy5dffsmzzz7LgQMH2LBhAwsWLDBQxEJbVplfNaSXS5YkOpqb8vzXO6pWTgiNT+ePt5Zwz8hefP/XuXq1d+M0pQtRSZwKiePX1xfy0IQB9frsAHAyNK7a1KlTofGUlauZO64/a3afqfeNbX3GBhVDZkX+pXfGsoxWvK960ejENjAwkNOnT/POO+/w3nvv3Xbfd999F61WS0BAQNW2rKwsiouLcXNza2worcrZs9GcPRt9230cHKxQqzVcvU2v6f++2M//vth/+3a6WXHxYs1zTDMyCljxzA+3Dxjo1s2KvX/eOsEG2LvnCntrSMABQoKTGDO2B106mdd6rob49/d7+Oe9o1m9/G60WoWgyESe/Gwrau319Czof8+y8vs9/HEq5JZtdO5gxqvzJmBjaUFhqYrwhHSWfvgzwXHX5xlXluPv/8RHt2yjXKNhsJ8bD47th4WZCWk5hRy9GsPXO09WG0r09bP3kpyVz+vra+65fGTKEBytLdFotcSn5/LGhr1NNr+20tErMQz0dWWstzf7rzW8mEZN7u0VwB+hYdV6cesiOjuHF3fvITwjg06mZiwa0I8tc+cwfd0G4uox4mN7aBgJeXlkFBXha2vLc6NG4m9nx6Kff61zG8XlKt4+cIjzScloFYXxPt58MmMaL+zew7aQ22SiQFF5OfM2/8yXs+5i+bAhgG4dwMU/b602rC46O5se9vY1thNdkMnL57cRnp9OJ2MzFvgM5sfRi7lr/1fEFWXXeNzf/ZFwhcSiXDLLCuluac8/A8bhb+XAkuMb69yG0PZt3LgRSZJ4//33efLJJ2+5jyzLLFu2DI1Gw9NPP8369etFYis0Cdmo9uV+apJXVEpmXlG15QAz84uITc3Gy6nxRS4z84u4GJVED7ea/37Xx97zESy4cyC+rnZkBjduZE1jY9MV7RIZmL4ZyZLosdWTRie2S5cu5dSpU3z44Yfk5eXxyiuv4O7uXm2f+Ph4/vvf//LNN98gSRKPPvpo1WuHDh0CaPPFJmbe1Z+p0/rwj+XriYmpWw/ToMFe7NxxsV7L9tyynUFefPZZ3Ssk34qrqzXFxSr27q05ca3N/v0hjB3Xkz/feRSjiqV09KmoVMWbG//izY23/lkdrS0p12hu22v64S+H+fCXw7c9j5ONJeciEmp8PS2nkKUf/VxrvE42lvxx8tYJNsCOUyHsqCEBb0p/nArmmdmjmObvq/fEtp+TI91tbXlu15/1PvZiSgoXU66PRDiflMS2hfNZ0L8f/zlQ9yFaWy5f/x2OzMwiNieHbQvmE2BvT3B63eY/55SUsvZ8UNXzq2lpWJmbsXTwwFoTWzNjY96ZPJHzSUk8s2MnRpLMI4MGsOaeWczauKkq4T8Zl0Cvbt0I7OrI1ZyUm9q5lJPEpZykqudBWfH8Nu5R5nsP4u3LdZ+K8HPs9QJlkfkZxBVms3XcUnp26UZIrv6qfAqt26VLlzAyMmLp0qW17vvII4/wz3/+U9TOEJpMY4pHxaRm42htecs2FT11m+lzCL6+B/82JjYjSfTYNgUjSW7wHGqhukavCLx48WLuv/9+FEXh22+/xcvLC09PT0aMGMHIkSOrnn/zzTcoisK9997L4sWLq47/9ddfsbKyYsqUKY0NpcV65+3tLFn0DY8+8h0JCXWfsL/jjwus/qT+8xD/7h9Prq82NLkhEhKyWfrwmkb9QTt9KhKtohCRmM7s19fx7a6Gz7W9744+HPtoOT71uLs6PMCD345dqdeyPbcyrKc7n2xt3HBgD4euFJWWs+N04xLXKYP8OfbRcvr5ODeqnRvlFpZSUlZOP2cnvbVZ6f5evQhJSyc4rXHFzUB3z/hKShoeXbs0qp3gtHRUGg3ujWznYnIKHl1qr0Y+s4c/LlaWvLh7D1dS07iYksKzO3bhYmXFBB/vqv1+C9b9bsx0qVuxMAW4kpOMR6fG9TgE56ag0mpw72jdqHaEtqWgoIDOnTvToUOHWvft0KEDnTt3prBQLFUlNA25IjlrSB569EoMtlYd8b7h84OdVUc8HLoSkdT4G+62Vh3p4+1ESFzDV5S40cSBfqg1WsIbUXiyUmNjk0XPYpMwkiWR2OpJo3tsATZt2kTfvn159913yc/PJy4ujri46kNfLS0tefHFF3nhhRduOraty8wUF3cArVZXGMHd3pqEjPoXLaj0r+92Y26q+9VN+dui67fz69HLDT7njRa9v6XRbcSm5fDAWxsa3c7hy9e4Gqu7aVFQ3Lhq2jeKTcvB19VOb+0BWJiYMMXflw+PHNNbmz3s7QjPbFxhr+62NpgaGZFR1LghXj0d7Ekvqv2/dXNjY7RK9Y8GuudK1Yc1gMisLMo1GobYe9Y5hh5dHIjIa9yHn+6WdpjKRmSUir9bwnW2trakpqaSnp6O/W2GyAOkp6eTm5tLt27dmik6ob2prIqs1da/EsTBi1GExqfxwaMz+GL7Cco1GpZOHUJOYQlbj10f0fPYtKE8Nn0Y0/61psYilJMG+jEq0JPjwbFk5BXibGvFkkmD0WoVNuyrXjMl6H/Psv1k8G2nH33+j1mcCUuoKlg5urc3s0f24seDF8jKv16oUN+x1ZWRLIke2yYgi+JReqOXxFaWZV566SWefvpp9uzZQ1BQEBkZGSiKgr29Pf3792fixIk3FY0S2p/wy4mMHOWHc7yWJLeGDRhoinVwW6visnKKG3GToCanQuPo6e5AH8duXErRz3DUaf5+GEtyrUN1a/KP4UO5mJxCbE4uncxMWdC/Hz3s7Xh9X90LYLh1sWJmjx4cio4hp6QEHxsbXh57B8FpaZxPqnthr1kBPVFrtYSkpaNVFMb5eLGgfz/eP1x7T/7xuDheGnMHb0wYx/qgi8iSxGNDBqHRajkVX32Ie1JePu6Wt+45Xe5/B5eyk4gtzKKTiRkLvAfjb9WNNy7urvPP4dqxKzNde3E4NZIcVTHene14qdedBOemEJRV83B7of0ZNmwYW7du5fXXX+eLL7647b4rV65EURRGjBjRTNEJ7U3lPcCGpAJaReHJz37jn/eO5tV54zE2MuJ8ZCKvfLebUtX12g8dzEwoK1dTcJsqyclZedh37cRz942mk4UZhcVlnA1P4H87TpKcdT3hrLwZf2NyeisxqTncPSIQ+66dkCWJ+LQcPvjlEJsPXqy2nz5jqw9ZlsSyNE3ASJbRKE1RrrP90UtiW6lDhw7cfffd3H333fpsVmhDDh4MZdQd/kya3IvvQoJrP0AwiD9OhbBk8mBmBfTUW2J7X69A9kRGkl926wtx1PMreGHXn2wNvvXwbEszM96aeCd2HS0oKFMRkp7O3M0/cTn1enyzA3ry3tTJ+Ly/6pZtlGs0DHd3Y+GAfnQ0MSGloJCD0dF8euJUtWFAPzxwH4n5+by4u+a5qsuHDsHJ0hKtoiUmJ4eX/9xbp6Q9OjuHR7f+zj+GD+PneXPQKhCSns6SX36r1msc9fwKziUm4d61C3Zmncgoq96Damlizpv9p2Fn1omC8jJC8lKZf+R7ruRcT9BnufXh3YF34bf1zVu/H1oNQ+08ech7MB2NTUkpyedwaiSfhR5Ge8NHxvWjFpBUnMsLR3+q9ecT2qbly5fz66+/8tVXX1FQUMDKlSvx8fGptk9UVBSvv/46mzZtQpKkOq1vLwgNIddjjq2RLKH525jlnIISXl17+1oPvTwd2XYi+LbL/1yJSeXRj36pNYbeno6oytVsOXTxtvt98PMhPqi9RIdeYwPde1SXubeyJIl+xSZgJCGGIuuJXhNbQajN8WMRKIrC8OG+IrFtweLSclCp1QxxddFbm/dv2lzja86WusJet+s1ffvgYd4+ePvCXi5WVpyOr7mnMaWgkLmba0/OnK0s+fVqzb+fvwWHVM2BbYjjcfEcj4uv+fwV78evV68y0MWZu9x7823EiWr7vHNlL+9cuf0cfOeOXTidEVvj66kl+Tx09Pta43W26MJvcZdq3U9ou8aMGcMzzzzDxx9/zKZNm9i0aROurq44OzsjSRIJCQkkJl6v4P/ss88yevRoA0YstGVSHefYjurlxdnPn+Hz7cdZs/tMnds3NpLp7mzLq2vrPgLmdvp4O7HjVCjpuY2f4qHv2Ib3dOezf8wGoLj09su8ybIsemybgCzLaBSNocNoE0RiKzQrtVpLTk4RPt0dDB2KUIuEvDzcunSp93Hz+vXh/t6B3PfDZiLqOP/1Dk8Ptly+Uq9le25llKc7/9l/qFFteFl3pUhV3qjEFXRFoga6OCNLEvP79eHnK1fr/X78fCWYtydNZLSDz02JbV2MtPfm7cv1r0B9I69ONhSpy/g9XiS27d2qVavw8vLi9ddfJzs7m/j4eOLjq9+gsbGx4fXXXxe9tUKTur7cT83DN9/etB8LM1MAMuqZUKo1Wu5Ycfsh9/XxTSOKZf6dvmO7FJ3CvHd09W5qm7MsS2KObVOQJQmVGIqsF3pLbC9dusTnn3/OsWPHSExMpOg2hVgkSUJdzzUshbYjPCyFocN8MDc1rjafRWhZTick4m1jg3sXK+Jy6zaPd8XO3Zgb6/6sJOfXfQ7Pj5f0U9jrvh9q7hWuq+jsHKatW9/odvZHXWPujz9hamxEoaqMmOy6ry174/uRVVqIn1XDbgTNOfxdg467UXRhFjP3f9XodoS24cknn+SRRx7hr7/+4ty5c6RXLJFlb2/PwIEDufPOOzE3b5q1ygWhklw5x/Y2SVZcWuOWSmwvikpVhMbXrUqymGPbNGTp5uHyQsPoJbH97LPPWLFiBRqNRvzCC7U6ciScYcO7M3WwP1uPXTV0OEINtgWHMrdvH2YHBvDRsbr1FqaJ5T2qFJWXcz657gWpahKcm8Lobt0xl40p1YobQYLhmZubM2PGDGbMmGHoUIR2qjHr2AoNp+uxFe+5vsmShFb02OpFo9exPX36NE8//TQajYZly5axa9cuAKytrdm3bx8bN25k0aJFmJqaYmtry6ZNmzhwoO5VTIW258D+YBRFYWzf7oYORbiN88nJaLRaRnq4GzqUdu1ASgSSJDHJuYehQxHaMV9fX9566y1iY2MNHYogVC33I3q5mpcsSw1aO1i4PVmS0IgbBnrR6B7b1atXoygKzzzzDKtWXa9Eampqyrhx4wCYO3cuTz31FJMmTeK1114jKCiosacVWjG1WkteXgk93W6/FqJgWJbREuk5hfh0tal9Z6HJbDsayxv9FMZbBbIt4UrtBwhCE4iKimLlypWsXLmSkSNHsmDBAu677z4sLS0NHVqL9OFHc+nbV3dT8Ls1h/lho27Uy6RJvXjhpek37f/jppN8+82hep/nhx+foFu3LjdtnzzxPcrL61eMxhCxDRrkxbvvPQBASYmK6VM/rFPbosfWMESPbdOQJEkUj9KTRie2x48fR5Iknn766Wrb//6L37dvXz799FPmzJnD+++/z5tv3nr5CaF9iIxIZeAgT0yNZVRqMfyipbocnczEgX50MTcnt7TU0OG0S0UqFYUqFb0du4EYuS8YyL/+9S82bdpETEwMR48e5dixY/zjH//grrvu4qGHHmLy5MnIcqMHgbUpV64k8NX/DpCRcXO9gRdf2ExR4fWlWjIzCxp8nsOHQvn5p+oVf+ub1BoqtpCQJJ5c9j1Tp/Vh7LiedW63cmUa0XvYvCRJEsvSNAEZ0WOrL42+CqWlpWFmZoa7+/XhirIsU3qLD8GzZs3CxMSErVu3Nva0Qit37Fg4kiQxob+foUMRbmPfhUgkSWJWQN0/cAj6F5mZhX3HjoYOQ2jH/vOf/3Dt2jWOHj3K0qVLsbKyorS0lJ9++okZM2bg5OTEihUruHDhgqFDbTGKCssIDU0mM/Pm2gMR4amEhiZXfWVkNDx5zMkprtZWaGjj5vY3Z2xFRWUNOkfVOrZiVdVmpRuKLN5zfZMkUNdSkVqom0YnthYWFpiYmFTb1rlzZ/Lz8ykrq75wtImJCRYWFsTFxTX2tEIrt++vqyiKwp39xTzbluzgpSjdfGhvT0OH0q4dj43DSJYZZONm6FCEdm7EiBF89dVXpKam8ssvvzBjxgyMjY1JT0/nk08+YeDAgQQGBvL++++TrIfiaYJwK1XL/Ygu22YlI4n3vAno5tiKxFYfGp3YOjs7U1hYSP4NS3t4e3sDcPbs2Wr7Jicnk5eXJ8bnC5SWqskvLiPAs5uhQxFuQ6uF7IJietiL+dCGtLViTd3proEGjkQQdExNTZk9eza///47KSkpfPbZZwwePBhFUQgJCeGll17Cw8PD0GG2WN+tXcrefS+y4YfHeXDuMOTK9WsaYPyEnuze8zw7dv2T/75zP56edm02tkpS1XI/4vNkcxJDkZuGhIRaJLZ60eg5tr179yY4OJjw8HAGDRoEwJgxYwgKCuLNN99k+/btmJubo1KpeOqppwDo1atXY08rtAHhCekM8nPFWJbFEIwWLDQ+nREBHpjKMirx72QQCXl5lKnVDLQVFaqFlsfa2pply5axbNkyQkNDWbhwIefOnUOjEcVQ/i4ru5B1a48QGpqMosDw4d1ZvOQObG078+nqvfVu78SJKMJCk0lPy8PRqSvz5g3n49XzefzRtaSk5LaZ2P6uciiyqIrcvCRJ3ExoCpIEGvH5Si8andhOnz6dTZs2sWXLlqrEdvny5Xz++efs378fFxcX/Pz8iIiIIDs7G0mSePLJJxsduND6nd0XzmB/N6bZubEtLdbQ4Qg1OHw5mpGBnkzx92NbSKihw2m3EvLycO3S1dBhCMItnTlzhg0bNrBlyxaysrIMHU6Lde5sDOfOxlQ9P38uhrKycu69bzA/bDxOdnZRvdr7/NO/qh5fuZLIubPRrP3+Ue57YAirP97TZmK7iZhjaxCyLImbCU1AliTczKx52XE6xrKEsWyEsZGEkWyEsSxjJEsYy3LF44rnRjJGku6xkSwjS1LVa7IkVb0mSVLFNt0+lV9S5WNZ12NcuU2SoDC/AHveMfTb0iCNTmynTp3KypUr6dbt+pBST09PNm3axOLFi8nOzubkyZOArqjU888/z7x58xp7WqEN2LvnKsuWT2Ds2B5s2xxr6HCEGuw+G8YrD45jUncfkdga0NnERHxsbHC16EJCca6hwxEE4uLi2LhxIxs2bCAyMhLQ9eaYmpoyffp0FixYYOAIW4fDh8J4YM5QfHwcOHMmulFtZWcXcfVqIr6++pnm01JjqxweLYbFNi9JLPejd6tnTAPAwbIzi4b1v+n1v7/fyt+2K4ruBs/177rH2optWkW3TVvxpSgKGkWLVnN9m0bRotWCVtGi0WqrTS9tbRqd2FpaWrJy5cqbts+aNYvRo0eza9cuEhISsLKyYuLEifj4+DT2lEIbUVhYSlFRGT16Ohs6FOE2iktVFJSp6O3oaOhQ2rU/QsJ5sE8f7nLvw2ehhw0djtBO5efn89NPP7FhwwaOHz9e8SFK9wFr2LBhLFiwgAceeIAuXboYNtDWpOFTWGtoTo8NttDYKlsROVbzkhBzbPVFBrY+NI/Abg5EZ2bx4q9/kl5UjEqtpkytRa1Ro9IYZniypqz1Lu/Y6MT2dqytrZk/f35TnkJo5aKjMwgMdDF0GEItIjMz6efsZOgw2rUziYloFC0j7b1EYis0ux07drBhwwb++OMPysrKqpJZT09P5s+fz4IFC6oKRwr1M3ZsDzQaLZGRaY1uy8amEwGBzuz7K1gPkbXc2CTRY2sQsiTmNetDF3NzdixagEOnjuy6Gs6KX3YZOqQ2o9GJbXx8PEZGRjg7163XLTk5GbVajZubWLZCgNMno+jd25VRgZ4cvRpT+wGCQRyOjmWAizMj3N04Hhdv6HDarYySQnws9VNVVBDqY+bMmVXDEK2srLjvvvtYsGABI0eONHRorcq77z3AhaBYYmIyARg+3Idp0/ux9dez5ORcn8O6YOFIFi4axdw5X5CWlnfLtsaO68nQod6cORNNVmYBjk5deHDucLRahZ9/Ol1t3/0HX2bPn5d57/92trjYGqJyKLJYeqZ5SZKEVrznjeJtY83W+XOxMDHhf0dOs/rgSUOH1KY0OrH18PDA0dGRpKSkOu0/YsQIEhISUKvVjT210Abs3n2ZRx4dw5TB/iKxbcF+Db7Ks6OGM7NHD5HYGtDlnCTudPLHwtiUYrXK0OEI7YiRkRGTJ09mwYIFzJw5EzMzM0OH1ColxGcxdWpfbO06I8sSiQnZfPH5Pn7beq7afubmJqhUagoLax4SmJqSi61dZ5Ytn0CnTmYUFpZx4UIs69YeJTU1r1pbQK3FnwwRW0NVVkUWPbbNS1cVWVTvbahRHu58PftujCSJ53b9yc6zYYYOqc3Ry1Dk+k4kFxPPhUp5ecWUlJTTx1sMc23JSi4XU1auZpCD+HcypD0XY5no3IOpZv35RX3K0OEI7UhycjJ2dmK0QL1Iup7FG3u4Pv9sH5+zr9ZDe/Z0ZvfuyxQVldW4T2hoMv98dlOtbfXo6YRKpeb3387fdj9DxAa696i+a+VKIrE1CAkJjXjPG2R+3z78e8I41BoN87//haD4ZEOH1CbJzX3C0tJSjI2bdGpvnaxbt66irPXtv/btq/2PvNA4cbEZ2HfpZOgwhFrEpefgZGNp6DDatd1h4SiKwnhRhE9oZq05qTXU9X7oUB/+2v8S8+YPr9dxxsYyXt72bP5RP0MUAwNd2Lv3CpmZBY1uS9+xDRrkxV/7X+KhBfUc0l45FFkkWc1KkkCrEe95fb06bgwrJ4yjoKyMKZ9+L5LaJtSsGWZycjIZGRnY29s352lvS5bl216wxXCrpnf69DV69HRmsJ8bZ8LFMNeW6kxYAn4u9vS0syMkI8PQ4bRLKq2WvNIyejm0nL+hgtBaNOf1/qNVf2LRwRSg3gmlWq1l5vRVeotlw/rjemtL37EFByfyxGNrAeo1d7Oyg1crRsU2K0kSVZHra809sxjt5Ul8bi7T165HlacxdEhtWr0T2yNHjnDo0KFq2woLC3nzzTdrPEZRFHJzc9m1axeKojBkyJB6B9pUXF1diY2NNXQY7dqunZdYuGgU04b2EIltC/bHyWAemjCAWYE9CTkoqvIaSkRmBgNdRCVxQaiv5rzeJyZkN8t5WrviYhUREan1Pq5yKLKCyGybm6iKXDvjIglTI5nfHp+Pt50NZ2MTeWjdz4YOq12od2J78OBB3njjjao/KgBFRUW88cYbtR6rKArm5ua8/PLL9T2t0IZlZRVSqlLTz0esZ9uSRSVnUa7WMExUNDeowzGxDHZ15Q57b46kXzN0OIIgCM2uKrEVeW2zkiQJjegmr5VdJwu2PfEQXS068EvQFV7dLqY1Npd6J7YeHh6MHj266vnhw4cxMTFh2LBhNR4jyzKWlpYEBgaycOFCfMT8MOFvYlOz8XVpvXO42ouU7Hzcu3YxdBjt2u/BITw3aiRTXAJEYisIQrskG1UUjzJwHO2NRP2GjLdHAQ72bHnwAcyMjflg3zHWHD9X+0GC3tQ7sV24cCELFy6sei7LMtbW1hw8eFCvgQnty4mQWHq4O9DHy4lL0WJSfUt1ISqJmcMC6NapE6mFhYYOp11KKyyiVK2mv62roUMRBEEwCBldYqvRiNS2WUmIHtvbmOTrw+oZ01GAp7b8wV9h4uZzc2t0VeS1a9fy8ccf6yEUw8jIyGDAgAF06tSJDh064OXlxfz582+aRyw0rYMbzqMoCvf28DN0KMJt7D4TjiRJ3NMrwNChtGtxObk4W3QxdBiC0KqI633bcX2Oreg9bE4SYihyTZb1G8RnM2eg0mi47+tNIqk1kEYntgsXLuT+++/XRywGUVxcTFBQEKampmi1WmJiYvjhhx8YO3YsS5YsQa1W3/b4srIy8vPzq30J9ZeSkodKpaZPXzF/syU7Ex6PVlEY7elh6FDatVMJCZjIRvh0FsP3BaGuGnO9F9f6FqZyuR8xLLZ5SaJ41K28O3kiz44fSXZRCRM/+Y7QVLFyhKEYfkFZA3FycmLlypXMnj0bPz8/zMzM0Gg0nD59mpUrV7Jv3z7Wrl1Lx44d+fTTT2ts55133qlT4SyhdomJ2bi72xo6DKEW6YWF+NiIfydD2hYcyqIB/bnLrRcfBh8wdDiC0KLp43ovrvUtS9VyP6LHtllJgIWZCb0cHDA2kjGRjTCSJYxlGRMjGVmSMZFljGUjZFnCRJYxkmXdPpIRxkYSRpKMceV2ScLYSMZIkpElCSNZ97qRke41I0mqOl6WKl6TdfvKFfvKEhXbdfvovm7cR0JCqnpetQ+69asrn0sSFd8lZKha31q3X8Xzysc3bDM3MkKWZaLSs5j91UZUYni8QUlKPVa3XrJkiX5OKkmsWbNGL201Ba1Wy+zZs9m2bRuyLBMWFkb37t1vuW9ZWRllZWVVz/Pz83F1deWOkf/G2Ni8uUJuEx57fCz3PzCUuf/dSFiCuNvVUr3z7HQmdveh7+rPKVKpDB1OuxX2z2cIy0vlnoPfNts5NcWlXHvoHfLy8rC0tGy28wpCU6nr9V5c61uWefOGs+SR0cx/ZxMh8WmGDqddeHBIb55bOK7aqijNpaZURan6v4ph6UrlU4XKQxTl5sdKxetVzxVF98X1x9obXtMqCopW91yrKGi1Cgq6767duiBLMj3f/Lgp34JmpSkrJerdV1rltb5ePbbr1q1DkqQaf8FqU3lsS09sZVnmgw8+YNu2bWi1Wv744w9WrFhxy33NzMz0uqh7e7Z792Xuf2Aodw0PJGyLKEbWUv0ZHskk3+7c1dOfTRcvGzqcdiu1JB/PzjaGDkNog9rLTWyo+/VeXOtbFqliIp1WrPfTLB6fNpSl04ai0Wg5eC6SawlZaDVa1FotGo0WjVZBo9Gi1mjRahXUGk3FYy1qjYJarUGj1b2u1mh1j9W649RqDeUaDVqNQrlGo9tXo1Cu1qBW687Rkv30/mJsu3Q0dBhChXoltgsWLDDInRpD8PHxwdbWlszMTKKjow0dTrsQH5dFebmaQX6i2mtLticiAkWZwnhvb5HYGtDF7ASmuQTSxdScXFWpocMR2pD2chO7krjetz6yrMtsxdIzTe9fc8cze2QvMnOLePCFdRSWiJFaN5Llhv+tFPSv3j22gtCUkpJycHHpaugwhNswj1LIKyqll60DltES+V7iD7oh7A6KYbprL6aZD+IH1VFDhyO0Ie3pJrbQOlX+fmpFQtGkPnp4BqMH+hCXks1DL69HpW7ZvaeGIEsS4v5Ky9Fui0fV5tq1a2RmZgLg6elp4GjajwtBcXh42OHlaEN0SpahwxFqEJaQzhB/N4xlGdAYOpx2aX9UNIqiMM7Hkx+CRGIr6E97u4ktrvetT+V9F5FQNJ21zz1AH28nrkYm88gbmw0dToslemxblkYv99Ma1fYLqCgKzz//PKAb7jJ9+vTmCEsA9uzRDW29a7hYJ7UlO3olBkmSGNPH29ChtFtqrZackhJ62NsbOhRBaLHE9b5tqkxsFTHHVu+MZZlf/72QPt5OHD1/TSS1tWjMtA1B//Sa2AYFBfH8888zduxYAgICCAwMZOzYsbzwwgtcuHBBn6dqlLi4OAYPHsxXX31FdHR01S+kVqvl1KlTTJkyhd9++w2Axx57DD8/P0OG265ERqRRrtYwtIdYz7Yl23k6GEVRmND/1tXCheYRkp6OdYcO7fMOpSDUgbjet03XhyIbOJA2xsLclB3/WYJHt65sO3iF5z/aZuiQWjxZlsSQ+BZEL0ORi4qKWLp0KVu2bAFuvkN65MgRPvzwQ+bMmcPXX39Nx46Grx529uxZzp49C+iqHXbu3JmCgoJq5fwXL17M6tWrDRViu5WclY+bnZhn25LlF6soLiunl5cjiALWBnMoOoaRHh6Md/Tnr5QwQ4cjCC2SuN63PZWJrSIyW72xsbTgl38vxNLCjHXbTvPVLycMHVKrIEm1jwwRmk+jE1utVstdd93FwYMHURQFR0dHxo0bh4uLCwCJiYkcPHiQ5ORkNm/eTHp6Onv37jVoYQoHBwc+/fRTTp48ycWLF8nIyCAnJwdzc3M8PT0ZPnw4S5YsYcSIEQaLsT07F5HAPaN642pnRUJGnqHDEWoQnZJFT3cHQ4fRrv0eHMq/xo5hsksPkdgKwi2I633bJMu6z5CaFr4UTGvh7tCVTS/Pw9zUmA/XH+SXvy4aOqRWQ5ZktOL3sMVodGK7fv16Dhw4gImJCR9++CHLli2rKsNeSavV8uWXX/Lss89y4MABNmzYwIIFCxp76gbr0KEDTz75JE8++aTBYhBqduX3YO4Z1ZstL8/n0J4rHDsQytnjkQBkDO5i2OCEKqdC4ujl6chAFyfOJSYbOpx2Kbe0lOLycvpaiyWyhOZx6dIlPv/8c44dO0ZiYiJFRUU17itJEmq1uhmju5m43rdNVUORDRxHW9DPwYEvX30AI1nm1c92sv90hKFDalVkWUItami2GI1ObDdu3IgkSbz//vs1XjhkWWbZsmVoNBqefvpp1q9fb9DEtjn4+Tly7VqOocNodeztLXnprXtQFAUTU2Mm3dWfyXcPQKtVyMstIjwtixPBsew6E0Z2QbGhw23Xtp8MZum0odzVs4dIbA0oOjtbFJASmsVnn33GihUr0Gg0YuidYFBVxaPEUORGGRXoyaonZqIoCk+9+wvnQhIMHVKrIwFaUcSsxWh0Ynvp0iWMjIxYunRprfs+8sgj/POf/+TixYuNPW2L98GquXTs2InMzALCQpM5diyCI4fDUIs1wGpkb2/Jd+uWYmpmwjuv/MLhvVexdbBk3OReDBjWHU8fe4b4uzG0hzvP3nMHZeVqEjPyuBCVxF/nIzgXmWjoH6FdScrKp6xczWAX0VtoSCfjEujVrRuBXR25mpNi6HCENur06dM8/fTTACxbtoxp06YxdepUrK2t+emnn0hNTWXfvn1s2rQJS0tLVq9ejaOjo4GjFtqqqjm24gZLg909PIBX599JebmGh1//kaj4DEOH1CrJsiRusLQgjU5sCwoK6Ny5Mx06dKh13w4dOtC5c2cKCwsbe9oW7+cPtzNi+lDc/Jy5Y7Q/o8f04JV/zaQgu5DY4ATO7bnIXxuOkO7tbuhQWwRHCzO+WbcUMzMT3v2XLqkFyEzL56fvj/PT98cBXe//4JHdGTWhJ/6BLrg7dcHH2Zb7RvdBq9WSk13EtbAUzhyL4OCfV4jpYW7IH6vNS8zIxdVBFPoypN+CQ3h0yCBmuvQSia3QZFavXo2iKDzzzDOsWrWqarupqSnjxo0DYO7cuTz11FNMmjSJ1157jaCgIEOFK7Rx16sii4SiIZaOHcTj942guETF/Fc2kJKZb+iQWi1JElWRW5JGJ7a2trakpqaSnp6OfS3D4dLT08nNzaVbt26NPW2Lt/HNX9j8H12ZdAtLC8bNHcnQ6f3p3s+LwJH+9L6jJ4vfehCVSk1yci6XL8Wzf38IwVfbX6+jvb3lLZPaW9FqtZw6Es6pI+FV2xxduzJucm/6D/HG3cueQSO6M3ikL8tfnEaJqpz49FyCIhPZfTaM4Ni05viR2o1zEYl4O9ni1bUr0Tli6L0hRGZlUa7VMMTe09ChCG3Y8ePHkSSpqte20t97zPr27cunn37KnDlzeP/993nzzTebM0yhnRCJbcM9d99oHhzbj5z8Yua8+D35haWGDqlVkyTQih7bFqPRie2wYcPYunUrr7/+Ol988cVt9125ciWKorS76oPF+cXs+HIvO77cW7Vt4KS+jL5/GAET+uDi0hVPTzvuunsAGo2W7KxCwsJTOHEsgkOHwlCpDFt8oylVDj+uS1Jbk5SEHH745jA/fHMYAGNTI4aP9mfE2B74DHDDx8kGf1d75o7rj0arJTOviJC4NI5eiWZvUCTFpSp9/1jtxo7TITwwpi+zewXwwZFjhg6n3UoqzsW9o7WhwxDasLS0NMzMzHB3vz7KSJZlSktv/lA8a9YsTExM2Lp1q0hshSZRNcdW5BP18s6SKUwc6EdyRh4PvrS+TX++bC6ix7ZlaXRiu3z5cn799Ve++uorCgoKWLlyJT4+PtX2iYqK4vXXX2fTpk1IksTy5csbe9pW79yei5zbcxHt6P4AODt35c6JgQwY4Im7hy0jR/oyapQfL7w0ncLCMuJiMzh3Loa9e66SltY2lsDRR1J7K2qVhiN/BXPkr+CqKspejjZMHezPID9XPLtZM6aPN2P7+vDa/DspKi0nLi2bsxEJ/HkmjIikTL3E0R4Ex6ahKAqLB/QnOiuHP8PDKTZwFdT2KCgzgVnufbAz60RGWduf6iE0PwsLi5sqHHfu3Jn8/HzKysowMzOr2m5iYoKFhQVxcXHNHabQTlQt96NpeXVLZBlkZIxkGUkGY1nWbZNlZEnGSJaQJQnZSEaGiv0kZEn3WJYkZFmq2leSJd13ScZIBgkZI6OKNqTrr8uShETlvlLF+XTntexgyoKJA7G16kRofBoPv/oDYoUa/ZAkSfTYtiCSooeZ9ytWrODjjz+uGhri6uqKs7MzkiSRkJBAYqJueK2iKKxYsYIPPvigsadssfLz87GysmIMd2EsmTS4nQ6dzBkzZwTDZgyge39vrLt1QTbSLaOkKlWREpPOlaOhHAhN59LFeH2F32yaKqmtK3NzE0aO78mwMf749nDCxt4So4r3V63WkJmeT0RwEnsSEzgQFEWZSNZu6f+WTmNCv+6A7o+7oigUl6qIT8nhRFYiO0LDuZImhn83tbHDHPhm5Dzev7qPbyNONNl5NMWlXHvoHfLy8rC0tGyy8wgtT+/evQkODiYnJ6fq337gwIFcuHCBw4cPM3LkyKp9k5OTcXFxwcLCos3W1Ki81t8x8t8YG4taDs1t0+ZlODhYUVZarhsOL4Gk+z90n0RveFzxf9cfV26Sqtq78bUbtty4S62k+uxsIEnpudyz4jtDh9GmHFrzDxLTc5m+ZqOhQ9EbTVkpUe++0iqv9Y3usQVYtWoVXl5evP7662RnZxMfH098fPVky8bGhtdff1301tZRSWEpu7/dz+5v91dt6zs2kDFzRtBrpD+Onva493BhOrp5p9nZRUSEp3LieAQHD4ZQWtpyEzFDJ7UApaXl7Nt5iX07L1Vt8+3pxJhJgfQe4ImLuw2jJgRwhxSIskihsKSM6JRszoTFs/N0KPEZuc0ec0siy7D2uTn08nQkJDqVp979hTEDuzOinxc9PB3o7m5PD69uPDxoIBqtloyiIoLT0jkUHcPOsHDyy8oM/SO0KUfSr6FVFEY7+DRpYiu0X5WJbXh4OIMGDQJgzJgxBAUF8eabb7J9+3bMzc1RqVQ89dRTAPTq1cuQIQtt1PyHhmNvb4miKKSn5qLRKLrkVlHQKgqKcn0ZIEWroKDrWFFueO3G57reNkX3XaGijYrHFfvqXlOqXtO1cf113em1KFrlb8eARqtFQUHRVB6jvX5ujYKCglajrdaeVqtF0VbfV6PVglZBo1Wqn0ejRVvZ7g3n1mqvt9tnoAczHxjClz+JKUP6JkmiKnJLopfEFuDJJ5/kkUce4a+//uLcuXOkp6cDYG9vz8CBA7nzzjsxNxd3NRvj4sGrXDx4PQl0cLdjwr/nMHCgJx6edgwb7sPwEd355/NTKSoqIz4ui/PnY/hr71WSklpGYZ+WkNTWJCIkmYiQ6+uxWnQyY+BjQxgV6Im/mz2Bnt3o4+3E0mlDKVdrSMnO52pMKvsvRnL0cgzqdjKux9zUmJ9fW4CzrRUHL0bx8gfbAdhxJJgdR4Kr9rOdYMf0Hn4MdXXFy9qacd5ejPfx5s07x1NSXk5cbi7nEpPZGR4m1sHVg6zSQnytxHq2QtOYPn06mzZtYsuWLVWJ7fLly/n888/Zv38/Li4u+Pn5ERERQXZ2NpIk1bi2vSA01MJFo3howQiys4t4+O5PKCkWNTLqwqqrBQBFpeUGjqTtkSTQiMS2xdBbYgtgbm7OjBkzmDFjhj6bFWqQFpfBDw9/yg8Vz03NTbnjvmGMuHsQfgN98Pd3pGeAMw8tGEl5WTmpselcuZbBoYNhnD8X0+zxtuSk9laKC8s48uERjnCkaltAHzfGTAoksJ87Tq7WTBnsz9QhPVAUYdSC0AAAZIZJREFUhYK8EmKvpXM0MYmdp0NJzSkwYPRNw86qIz/96yEsO5mz+c/zfLzxcI37Zu7LYN2+DNZVPDc1NWbMAB9G9feip3c3fKxt6GFvz0P9+6LVKmQVFxGSnsHR2Fj+CA0nq7i4WX6mtkBzrRNXkjMY6+WJqSyjaic3WYTmM3XqVFauXFltVQNPT082bdrE4sWLyc7O5uTJk4BuTt/zzz/PvHnzDBWu0AYtXjKKefNHkJVRwMOzVlMqkrQ6q5qTLK4Neifm2LYs9U5s7777bh555BGmTp2KLMtNEZPQQKpSFfs2HGbfhuvJRq+RPRj74AgCR/XAybsbU3ydmDpVl0jk5BQRFZnKiRORHNgfQnET3vlsbUltTYIvxRN86fowe8suFoyb0ptBI7rj7duNwH7u9B7gwfK7RqAqV5OUlc/l6GT2BUVyMjS2VRdr8HW2Zd0LczAzMebjjYfYsudCvY5XqdTsPRnG3pNhVdtcHbowaUQPBgW44u5mwx2eHoz28uRfY8dQqlaTkJdHUFIyu8MjOB7X+uaSN6f9UdcY5+3FFOcAtiVcMXQ4QhtjaWnJypUrb9o+a9YsRo8eza5du0hISMDKyoqJEyfeVERSEBrjkaVjmPPgUDLT81kyazWqspY73aolqqzRotWIBEzfJHTDwIWWod7Fo2RZRpIkHBwcWLhwIYsXL8bX17ep4mt19FU8qqnY3DuaOycGMmiQFx6ednTubH696E+xioT4LIKCYtm75woJCdl6OWdbSWrryvOh3kwc6EsfLydcbK0wNTGqKgefW1BCRFIGJ0Pi2HUmlKz81tErOSLAg4+euAtJgn99soND56P0fo7MPrrqkeO8vbizuw99HR1xtuyMqbHu/ptWUcgpKSE8I4NjsXFsDwkjtY0WpmmIeX378PqEcQCklOQRnJvK4dRIdicGU6jWz00rUTxKEHRE8ajm89jjY7nv/iGkp+fziEhqG2T23KE89s8pLHv7J4JCEw0dTpty7PtnCL6WwgObfjJ0KHrTmotH1Tux9fHxITo6WndwRQW4ESNG8PDDD3PfffdhYWGh/yhbkZae2P6dsakxo+4ZyshZg/Eb5IOtszVGxkYAlKvUpMdlEHwtg0OHwjh79lq9exzbW1J7KzZ2nRk/tTcDhvng6eOAZReLqpsJqjI1CVl5XLyWzN5z4ZyLbHkXnNkjA3ll7gTUag2P/2cLIdHNW+XYwaYzk4b5M6S3O14utnTp3KHq/StXa0jJzOdqVArbM6I4eO0a7fG+6Tvj7+TefoFoFYW0/EIsO5jT0dSk6n0qKS8nPjuPC8Vx/JkUwqmM2AadRyS2gqAjEtvmsWz5BGbfM5C0lFwevudT1CqNoUNqle6ZP5xHn53EY//ZzKVwUdNCn45//wyXIpKYu+UXQ4eiN+0qsQU4cuQI3333Hb/++itFRUW6hiSJTp06MWfOHBYvXszQoUP1Hmxr0NoS21vxH9Kd8XNH0Xt0D5x8HDHrYFo1hyAvr5ioyDROnopi/1/BFBaW1tiOSGpvTZZlBo3wYdT4nvTo7Yq9c5frvZJahayCIsITMjh2NYY/z4aSb8DiGMtnDmfJ5MEUlah46JUNpGTmGyyWSrIMQwI9GDOoO726O+Js36WqV1xRFHJLS4nMzOJEXDx/hIYSl9s21n2+FVNZ5uf5cwlwsCc6I5t7v/mRYpXu96WDiTETe3RntK8ngU4OOFp1xsRId9NKqyjklBUTmZ/OifQYdiReIam49vdJJLbt15IlS+p9jCRJrFmzpgmiMTyR2Da9fzx1J3fdPYDUpBweuedT1Or2eNtSPx5YNJIl/7iTpa//yJWoFEOH06acWP8MQaGJzP/5V0OHojftLrGtVFhYyObNm1m3bh0nTuiWmKjsxfX39+eRRx5h/vz52NnZ6SfaVqAtJLZ/12XWKO68M5BBQ7zx8rLH0vL68OWSknISE7O5EBTLX3uvEhOTAYiktj4yBnfB2caSqUN6MMTfDW8nWywtzK6/x6pyEtJzOR+VyJ4z4VyJTW2WuN5aNJkpg/1Jzy1k3gvfU1jScqtP2lhZMPwef+7w9MDf3g4bCwvkir9FKo2GlPwCLqem8FfkNfZFRrWJ4kruXaz4df5crMzN2R0cwYpfdtV6jOswY6a7BDLU3pPulnZ0Mb3xfVKTWpLP5ZwkDqZEsC85nFJt9SF/IrFtvyqnIdX0keHva3gqioIkSWg0bbOHTSS2TevpZyYxY2Y/kpJyeEwktY324JI7WLR8PIv+/QNhzTzqqq07sf5ZzgXHseDX3wwdit6028T2RhEREaxZs4aNGzeSkqK7GyRJEsbGxsyYMYMlS5YwZcqUVrGAdWO0xcT274yNjRh+9yBGzh5CjyG+2LnaVA1fVperKcguxMrOEpBEUttAxqZGDB/tz/AxPfAPdMbOwQpjE917rNFoyc4sIDI0hVNHwtmak0hxqX6Tzm9X3Ef/7i5ExqWz+LVNrXIpo/49XBg32Jc+fs64OHTB3NS46oN5YXEZscnZHMtKYHtIGJFZWYYOt17Ge3vz2V3TMZJl3t1zmPWn6lfI60YjvN240787/d0cce3aBXOTG96nMhWxWTmcjUtiV9kFLiZFi8S2nVq0aNFtr995eXmcO3eOxMREbGxsmD59OgBr165trhCblUhsm86Kf05h6rQ+JMZl8eh9n4vCPHowb+loFjw+jgX/2kBEXIahw2lTTmx4llOXYlny+++GDkVvRGJ7A61Wy+7du1mzZg07d+6kvLy86mLo6OjIokWLWLx4Md7e3vo8bYvRHhLbW/Hp78X4uSPpOzYQr97uyEYyW9Ye4bvP9hs6tDbD1dOO8VN60XewF24edlh0ut6rW1RaTlxaNmcjEvjzTBgRSZkNOoeZsTGbX52Pu0NXjl2I5rkPf9fvD2FAlp3MmTDEl+F9vfB1t8emiwVGFZXd1RoNqYWFXElN48C1a+wJj6RY3TILlPxz1AgeHzKYMrWGhzf8yvl4/c6XsjQ3ZUqAP3d096Cnoz12nTtiXPE+5eTlYt2la6u82AlNT1EU1q1bxxNPPMFjjz3GJ598YuiQmoxIbJvGcy9MZfLk3sTHZPL4A1+IpFZPHnpsLPMfHcO8l7/nWkLrupHb0p3c8CzHLkSzdPt2Q4eiNyKxrUFWVhbr169n7dq1XL2q67WTJAlJklC30A+NjdVeE9sbOXo68H3Up+z+7TyfvP2HocNps8zNTRg5vif9ZgUS4N4NO6tOGBtVJmpa0nMLCI5L49ClaxwIiqKslv/mrDtb8PNrD9GlUwd+PnyZVd+2/ZsSzpO7Md3fj0EuLnhad8XC5HrBpUKVipicHM7EJ/JHWBjBaekGjVUG1t1/D8Pd3UktKOCeLzeRVdQ8VbX9HWyZMtaTnubW3OEZ0CovdkLz+eijj3juuef46aefuOeeewwdTpMQia3+vfTyDO6cGEhMTAbL7hdJrT4tfGIccx8ZzZwX1hGbrJ8VLwSdkxue5cj5azy2o+183hWJbS20Wi3/+c9/+M9//oNWq20X827ac2ILsKN4U9V6c0Lz8fF3ZOzkXvQe4ImLuw0dLEyv9+oWlhIfk8nFM9H8nBhDXFpO1XGe3bqy8aV5mJsa8/nmo2zcec6AP4XhWJibMm5wd0b288Lf0wHbrtdvFmg0WjJziwiPTePExRj2nQon1rd55h3bWFiwbcE8unXuzMnoeB7e8CuGWA++NV/shOZTUFBA165dGTVqFAcPHjR0OE1CJLb69a9XZzJufADXIlJY9uCXhg6nzVn85HjmLL6D+/75HQlpuYYOp83I9ZEIXfkMe0IieebnnYYOR29a87XeuCkbj4yMZO3ataxfv75q3i2Aubm4CLR1CbGZePjYGzqMdicqLIWosOv/rVl0MmPMxEAGj/Slew8n/AOd6dnblbmMplytITWngKISFd1dbAF49bOd7D8dYajwDa64VMWOI8HsOBJctc3X3Y4JQ/3o38MVDydrRvX35o4BPry4ZALF5eXE5eRyLjGJnWHhnE/W/zIKA12cWHfvvZgZG/HlkdN8fOCE3s8hCPrUuXNnLC0tuXjxoqFDEVqB1/59N2PG9iAyNJkn539l6HDaJFnS3aDVGuKOaDugUcTogpZC74ltcXExW7Zs4bvvvquqlFzZKdy3b18efvhh5s2bp+/TCi3MuZOR+Pg70qOXC6FXWt7arO1FcWEZu7aeZ9fW81XbAvq4Mfih/vTv7oKrXRdcbK0AWPLBT4ReSjJUqC1WRFxGtWIbpqbGjBngwx0DvPHzd6C7rQ09HexZMKAfWq2WzOJiQtIzOBIdy46wULJLal4SqzaLB/Tn5bGj0Wi1PPH7dg5ditbHjyQITSo7O5vc3Nx2v669ULvX35zNqFF+hIel8JRIapuMbKSrddMaC0G2BuKGQcuht8T22LFjfPfdd/zyyy8UFRVVJbNdunRh7ty5PPzww/Tr109fpxNauF1v/cQDi0YxYbiHSGxbmOBL8QRfiqeyVukH3y4msK872b9Hgqf4IFoblUrN3pNh7D0ZVrXN3bErdw7zZ1CAK57Otoz29GCMlyevjR9DmUpNUnoelyOTOHA6krPB8QBk9qn5HMZFEqvuncqUAF/ySkq575tNJOQYfg1hQaiLl156CQA/Pz8DRyK0ZP95616Gj+hO6JUEnln0raHDadNkWZfYakRiq1eypKsdVK4R72tL0ajENjk5me+//55169YRFRUFXF+7buzYsTz88MPcc889mJmZ6SVYofVIiUlDVVpO3zEB8NUxQ4cj3Mburefp1c+DcVN782NolKHDaZXiUnL4dutJvt16EgBjWWZkPy9GD/IhwNsR125d8Ha1Zda4Pmi1CrkFJYTmZHAsNo7toaGkFRZVtWVhbMzvy+fjZWdNcHIaD67ZjEpcNAUDW79+/W1fLy0tJSEhgd9++43Q0FAkSWLx4sXNFJ3Q2vz3nfsYMtSH4IvxrHh4jaHDafNkubJWhOhZbKgv/nUf/Xu4AvDVz8dZu+00pka6NMrBshNbHpmDt501peVqghKS+WjfcWKycm7XZK0WDu3Hy5PHcCgimsc3bav38bP69uSduyfdtP3rY2dZta9tfjavd2JbXl7Otm3bWLt2LXv37kWr1Vb1zrq4uLBw4UKWLFmCp6en3oMVWpeE8CQ8AlwNHYZQi8P7gnn+zdkMH9tDJLZ6otZqOXQ+ikPnr7+fjraWTBzuz+BAN7xd7Rju7sYID3deGD0KlUZDYl4+GYVF9Hd2xMTIiJ+DrvDa9n0G/CkE4bra1rGtVPl5YMGCBSxfvrypwxJaof977wEGDvLi0sV4XhBJbbMQPbb6cSk8idWbjpCeXQBQVVxyuJcb2y6H8smBE3Q2N+PJMcP4bsE9TP9iPUVlDSsyadvJgmWjh5J5w43vhnpkw1YKysqqnqflFza6zZaq3omtk5MT2dm6UuGKomBiYsLMmTN5+OGHmTRpUp0ufEL7cG7PJXz6eop5ti2cWqUhP6+E7v5Ohg6lTUvJzOf77Wf4fvsZAGQZhgR6MHZwd3p1d8LFzgov664AvLb9L365EHy75gShWbm5ud32+m5sbEzXrl3p06cPDz74IOPGjWvG6AxntKMF5iaiIGZd3f3kZHoO8iLkcoJIapuRVJHYasXon0YpKC4j+Nr1Ap0mFYltUZmKl37bU7U9OS+fn5fOpb+rE0ejYht0rufuHMXB8GicunRuVMwAV1PSyC1ueL2P1qTeiW1Wlm5h5549e/Lwww/z0EMPYWtrq/fAhNZv17f7mPPi3Uyc0U8kti3ctbAU+g3xwliWRXGJZqLVwsnLsZy8HFu17aPnZzG0tweHI2MMF5gg3EJsbKyhQ2iRnvv2iVa3HEZLEBWq/wryQs2M5Otr3Av6Y2r8/+3dd1gUVxcH4N8sHamKFFHBCirYO/aOxhJNPuzEbjRFY4wtiZpmjBqTmBhjr4ldo0bsYsWC2EAUBCnSpPey5X5/4K6s7MJWdmHP+zw8gSl3z46TuXNmbilNo97uLpRbVPp2VNV3fe0b1sMAzybw3bAL697zVStGQ6N0Yjt9+nRMmzYNXbp00UY8pAZJikpBcWEJWnd013UopBI3A8PRvmsT9O3cFOdvGe50P7p28Ox9dGvTCO+2bYnN1w1zLmFCqpO10/+kN7ZKaNm9OUbN9UX08xRdh2JQuNejIovowbVGmb5+Y2tnYYaJndvi30fhsDE3wxeDeuF5ajqCouOVLpPHcfhqaF9sunoHqRpohgwAp+ZMhr2lBRKzc3Ho3mNsvREMEauZ/a2VTmw3b96sjThIDRX/LAHuXg11HQapxMWAR5i7aBj6dfGgxFaHgh7FQCRi6NmsESW2RK/ExcXByMgIrq6uCm2fmJgIgUCAhg1r9vX/2qEgGHMmug6jWhk11xdFBar1OySqkbyxpcRWo4x5RgCAM08iMa9/d3w5tC8AIPJVOqbtOQq+UKh0meM7tYGlqSl23QpRO77U3Hz8dvkmHr1MBgNDP48m+LRfdzjZWOHb05fVLl8faXweW0LKEvez9fSuj6fUHFlvFeQVIz+vGK2auOg6FIOXnp0PD0fq3kH0i7u7O1xcXJCQoNhc1z4+PoiPj4dAINByZISQyvAkb2x1HEgNY2Zcmtj292yC/cGPcOlZNKzNTDGrZ2dsmfAuxm0/oNTgUbVrWeDjvt2w+NhZjUwhdD0qFtejYiV/34iKQxFfAP9u7TX6Rlif8HQdAKnZzmy/BAAY+E5b3QZCKvXieQoc7GrpOgyDFx6dDGtzM1iY0HNHol+Ykk3XlN2eEKIdHMej/x+1wNioNLGNz8jGqjNXcPtFPC48jcLMfcfhXscO77f3Uqq8T/p2R8SrNATHJcDa3AzW5mYw4vFgxOO9/l39AXoDwiJgzOPB07mu2mXpI7pzIlqVEJmE4mI+2nai6Z/03Z1rz+Ddzg3d2zbCzQc0eJGuXAmOQq8OTfGOtycOhYTqOhxCVFJUVARjY7rFIEQf8GQkRLLmZX17+du+/P0/XLj1TOU4xg5pj3kT++D6/Wh8vu640vsP69kSX80aUm757pN3sPGA8vOyHls/DS51bcst7zXlV5TwS5sRd23tjl++GA0AEL71FtXkdRPvlFzp6XMyCwrxKjcfDezLl12Rxg726ORWH3cXzym37u7iOZi+9yiuP4+VsafiavrkNVTrEK17GZsGt8aOug6DVOLcyQeY+vFADOrmQYmtDp2//QxfzhyE/p5NKLEl1VJiYiJSU1Ph6EjXfUL0gazEFig/LysA/LTjImpZmEltN3ZIO/Tt1Ax3Q1VPqmrbWmLqu12Rka1+89dPVx9BXpl+2qmZuRVsXbGLtyPw9+l7UsvESS0API5MxLTl/2D1/OGwt7aU2s7kdVNkR2vp1m4OVpZwtLFCQlaOUrH8cOYKbMylj/2SIb1RzBfg54s38CwlVanyZBnaygMCkQjhya/ULksfUWJLtO7ezSg0ae4Cj1aueBamWP8sUvWyMvJRWMxH62aKDQ5DtKOkRIDswmK0quek61CIAbt69SoCAwOlluXl5eGbb76Ruw9jDFlZWTh9+jQYYzR7AiF6gpOT2L49LysAxCRmlNuuZRNf3A6NRXae6nOhfjS2F66FRMHFQf3psZ6+SFErlrIysgvKHYOy8gtLEBaVBD6//EBQ4nlsmzk64KuhfXHxaRSszc0wq2dnFJTwcfLRU8m2H/Xpio/6dEP/X7bJTXifJpdPXHOLilFQwsedGOlxap6umI9jD8Kw5Pg5ubFvnfgugl7EI/JVGgCgn0cT/K+DN3bfuo+0vAKlYqsuKLElWnfm3xD874MeGDi8LSW2ei4mMQMebvSWRdeepaSik3t98DhARN2iiA5cvnwZK1euBFem3Vp+fj5WrlxZ6b6MMZibm2PJkiXaDJEQoiB5b2wV4d3MBa6Odvjr0E2Vy2jTvB56d2yC/y3ciW/nDlW5HH0jHhX5xMNwtG9YD6PatkRBCR+PE5Kx+NgZqcGZLExMUCwQIOf1HLfqEI/BkVomOZUlOi0T77f3gpONFXgch5j0TKw6E4g9tx+8VZ7mYtM1SmyJ1sX/ew0lRbPRtjW9CdR3Dy49Q8vpzuhuaoubJdm6Dsdg3Q6KRpdGDTDMujFO5kTrOhxigNzd3dG7d2/J31euXIGJiQm6desmdx8ejwcbGxt4eXnB398fTZs2rYpQCSGV4KnRsXJQtxYoLOLjashzlT97gX8/7Pz3DtKzNDMK7z+r/WFrbYHktBz8e/kx9p5SfV7WwT6eGNnXCwKhCA+eJuCP/dcQ9TJN7vZGPA7C10+cxfPY3omJxxfHzlT4OW3qu+DI/TDkKpk8Tt55WGZZJQIB9t15UOG+P5wJxA8Vh6VWbPqIEltSJV5GJKKhZ31dh0Eqce7EfYyf3hsDhrXBzWNXdR2OwTp9LQwfj+uFAV2a4+R5SmxJ1fP394e/v7/kbx6Ph9q1a+Py5Zo59yEhNZm8psiVMeJx6N+lGa6GRKGoWLWpu8YMaAMLc1P8E3Cv8o0rkZaVj82HbyIsKgmMAT3bN8Gs931Q194a63ZfUrq8ayHRCItKQnJ6LlwdbfHBiC7462s/TF62F4mp5R/uGxnxcGP3fMlgW+JRkfmVzKNkYsSDp7MDvjgaoHSMsrRvWA/HH4YjJSev8o0roenYdI0S2yqw9tIKtOnTCgAwu91CRD2M0W1AOhB89iEat3bHpFl9MHFm6QTWx/4OwqZ1CjxKqsBPf32ANh1LR1z+cNyfiI5IVjvW6mrg8Lb4fMW7AFQ/tkkJmSgu5sO7gztAia3OZOUWobCYD+/m9YDzuo6GEGDHjh2wtLREVlYW7OzsdB0OIUQJPJ5qs3t29nJDbdtaOHczXKX97W0sMOO97vhm0xkINDAv6+3Hsbj9+M0AVndCY1HMF2DskPbYeeK20m+Ef97z5kHdw2cJuP04Fgd++gAThnXAmp3SifL1+9EY3tsLs787iNTM0oTS+PVxFVaS2PKFInRctVGp2Cqy8cptjZWl6dh0jRLbKvLflgvY9fUBZKe96ZR9XnSo3Ha/frgZp/5S7U62j193LPtnPm4cv4MVo9cotW/Z5Fvs8v4b+GH8LwqX4eRWF3tflP+fY4nv9ziz/RL+t3Ak7OrUwthBa/D1Gj+l4qvI6aPB2L3pMrKzpPsaDBzeFqMndEP9hnWQl1uE6xef4I+fTqv0Gb0HeWHpqvdxMzAcKxfsV2rfssm3WODZx1i1tHzzEnmcXOyw+9T8csuXfbQHwUGlzYOunAtF8M3nah/bxLh01HevmfObVSexiRloRv2diZ6YMmUKeDweUlPVH5WTEFK1eDwOqjTUHdTdE1m5hbj1WLXRkGeM6Y6o+DQ8eJYAK8vS0X6NeDwYGfFgZWmGwqISSbNeVV28/QwTh3VE84Z1EaRmU+f0rHw8jEiAp3v5wRuz84ogYgxPX6RIlpm8fmNbIig/sBTRDUpsq0hxQTEyU7LKLV8z5Q/cPfNA8nd+dsUdweVxbOiAmWsm49HVJypG+Cb5FisuLKlga/m+GLASMWFvRm/LzciDgC9ASVEJ2nRohA3p/8kcXU5VxUV8ZKZLN8cYPaEbxkzsjq2/nsPT0JcwNTWGs6u9SuU7OttixrxBeBwSo3KM4uRbEnMxX6VyFs3eidjoNzeWudmFkt9LigUoKc5T+9g+uPsCjZo5o2nDungeRzexunInNBYtGjujTX1nPHxpuC0RiH6wtbWFkZER7O1Vu44SoqiyD4N3bryIf7ZJtx4aPLI9Ro3tgvpudVCQX4zwxy+x4rN/1PrMd8d3w+wFQ3D72jN8Pe9vpfcv22KqrAM7r2H7hgtKl7fr5Dw41yv//9o73b4Fv6S0SXDHbk3x/e+TAACFBcUY1fMHueVxPA7KZrZmJsbo1aEJzt54Wm7+VkW516uNdp71cWHz3HLrLmyei3k/HcWtRzEqlS3GQbMTsypTnrFR6baCSt7YkqpDia2O5WXly0x4lcHj8bBk76fYveIgvHu0QC07y8p3kkFe8q2snPQ8meW8jEhCwxba72drZW0O/zn9sHze33hw9818rGUTQkXxeBwWfT8Ge/4KhFe7hrCyNlcpJlnJtypysgs1Uk5Fzp98gHfHd8Owni3x674rKpdTdpL3SUv3INKAk+Syk8rvPxOCX/YGVrrP6WtP4D+iC0a0bkmJLdG5pk2b4tGjRyguLoaZmVnlOxCihtAHsdiy/hxSU6T7OU6c2QejJ3TDP9uu4mnoS1jbWqBjt2ZqfZZ9HStMmNFbI3Xr0o92Iz/3zQA86amqT51y9UIYjuyRHolYnNQCwJPH8fjUfwuGvNsefQZ5VViWKoNH9WzfGLUszHA26GnlG8uxfk8grGtJXy/mTeyD4hIB/jx4Hc/j5A/SpKgBXZtDIBThWaz687I62NVC6+b1EHBdsabX4lGR+RpoZk00gxJbHftowzR8tmU2kl+8wpntl/Df5gtgSo7sNvHr95CVmoMz2y/Bu0cLlWPpN74n+k/oicyUbNw9cx97Vh5CoQrzhH3z7yKYmJsgMTIJR375D9eO3AIA3Dv/EI1bu6F5y3oqx6iI9l2bgMdxcHC0wZbDH8HC0hThj+Kxef1ZpKYoV8lMmNEH2ZkFOPtvCLzaNVQ5pr6+rdFvaGtkpefj7s1I7N0ciMIC5d+Ir1w/DqamxkiIy8DRv4Nw/aLqb+jliYpIhoAvRMdWqn9fseOXHmHzkZvIzi19s1w2wXub75w/kZlTKHNdRQZ09cB3Hw3DleDnWPTLCaX2LZt8i50Peoqv/lC8ybqLgw2O/TK93PKyT6Iv3IpA0KMY/PjpCIXLjU3KRAlfgM7uNJo40b2xY8fi3r17OHjwICZNmqTrcEgNl59bhKeh0vN2NnB3wPhpvfDlp/sQcitKsvzmZdUTLwCY/slA3Lr6DI7OtmqVAwCR4UnIyVKt5d3bstLzyh2DsgryivE09CU6dq989PHSwaOUu7cc1N0TSWk5ePhM9jSN00d3w/TR3fDuvK1ISpN9byXrgXZeQTEKivgICZf+brf2fob/robh281n5cb0yxejERwWh6iX6QBKk+9RfVvjwNkQZJRp8ahIbAO7ecCnbWMEPXyB1Mx8uDraYvKIzhCKGP4OCJYbQ1nGr0dF5gtVG1iLaB4ltjq046t/cP9iKEoKS9Cuvxdmrp0MGwdr/P39UYXLaNXdA0Om9sPsdgvViuXi39eQ/OIVMpOz4O7VAFN/mIDGrd2xePC3CpdRmFeEPz/bibAbz8BEInQb0QnL9s/Hmg9+x8V913Bm+yW8v2AEBo5oq1aslXF2tQfH4zB2ak/8uTYA+bnF+GBOP6zaOBmz/f6EQMG+EC3bNMDgke0wZ/wmteK5fOYxkhMykZGeB/cmjpj60QA0buaMJXN3K1xGYWEJNq07gycP4yASMXTr7YGlq97H2uXHcCngkVrxyZKcmImGLuo3OSwqEUhVNuIEr6yvZg2BmYmRSkmtcx1rfDK+F+4/lV/5V0acfIsVl6hWQX206hCiX1e2AJBT5qFQMV+A4mwBGrnWRuvm9TB2SHuF3mInvspGQyc7leIhRJM+/fRTHD16FB999BHq1KmDoUNrzlyUpHoYNLwdkhIypZJadbVq2xDd+nhi+pgNWPz9exorV98o28fW2tIMXVu748CZ+3K3MTczQXGJALkF6k8RY25Wmo6kZ1fcRzY2KQMj+njDsbYVOI5DfHImftkbiIPnpONUJLbEVzlwrG2FeRP7wNrSDLkFxbj3JB6bj9xEkoJv2sV9bOmNrf6gxFaHyiaw4pGSJ371vsKJrYWVORbt+QTrZ25CTnquWrEEbL0o+T0mLB4JkcnYGLwaTds1wvP7LyrY842c9Fwc/eU/yd8R96JhZV8L/1s4Ehf3XUNceAJKigVo27GxVpvT8jgOJibG2LgmQFIBrlp6GP+cW4g2ndxxL6jyStHC0hSLvh2DX747ofbT14Bjb4a4j416hYS4dPyxbzaaerrg+dMkhcrIySrAsb+DJH9HhifCytoC7/v7aCWxfXQvBr7vdoBrXVskyBjyXlXiBE/MztoCHVs2wPdbzildFo/jsHLOUGw5EoS2Hq6SgSmU9Xbyrars3CKFyomKT8PHPx6WvMUGgBaNnTDHryc83R3BAIRHJ+P3f64h5OlLjHatg4b2tojLVPzfYahXc/z83jBcePocH+0/qdT32P3Be+jsLv0W+7/QZ1hwWLWB10jN8MMPP6BXr154/Pgxhg8fjlatWsHHxweOjo4wen1zJ8vXX39dhVGSmszTuz5inr/C+Om9MdKvM2pZmyP80Uv8uTZApRkReDwOc78Yiv3bryEjTTP3JJsPzoWNnSVeJWUh4HgIDu26DpGKgyP19W2NIe92gFAgxOOQWGzbcB4xz1VrbsuT08eW46TnZRXLLShGrym/VVimV1NnnLoaijwlE9s535cfONWrqQtK+AIcOv+gwn3X7wnEegRW+hmKxBYWlSQzFlmMeBw4Gc25jTnqY6tvKLHVI+G3IlHL1hJ2jrbIelX5TWy9Js5waeSIb08sliwTz1V2pmQ/pnh+iqToFHm7VygyJBr8EgFcm7konNjKEn4rAr7T+kv+TohLQ333ulpNbDPSSpP8uDJ9arOzCpCTVQBHZzuFynCpXxvOrvb4Zv14yTLxsT19+2tMG7MBSS8zVYrv+dMk8PkCuDaorXBiK0t4aDyGjGqv8v4VuXD6IYaO7ohhvVpJvc3UtKE9WqKomI/LdyKV3nfqu12RmVuIk1dC0dZD9ea6g7t7YohPC2Rk5yPoYQy2HQtCQZHyg3ut+WwkTE2M8TIlE/8EhODyXdnfSSAUSSXAluYm+OWLMbgW8hxrdl6EEY+HGWO64ddFo7FswymM7t8G77ZrhV8vKfbvUM/WGl8M6oW7saq/xT547zF+u/zm84r41MzK0K1YsQIcx0m6yoSGhiIsLKzS/SixJZpiX8cKTT1d4NakLn774RQEAiEmzOiDVRsnY+qo35CvZNepd97vDAtLUxzdF1T5xpXISMvF7k2X8DT0JRgDuvXygP+H/eBQ11ql2RhuXX2Gp6EvkZqUDef69hg3tRd+3jYNc8ZvQnKC8vceHCf7ja1P28ZS87IqytiIh2YN62LFRs3Mfdq6mStOX3uC1Az17w01HVvX1u745YvRAICCIukuZEavmyLTqMj6gxJbPdK0XSMUF5YgX8HhyuOeJmCG92dSyz74diwsrS2wcd4OpMany9mzcu6tGsDE1BgZSaolb2JN2zWSKuPerSg0auYMCxXfriki7GE8AKC+Wx2kvSptTmJtYwEbO0ukJGUpVEZ8TBpm/u8PqWUfzOkHC0sz/Lk2AKnJqg8I4dbEESYmxkhX8wlxUw8XSRKvaWH34yAUitC1tbtWE9t3erfCuaCnKFYycWrdrB5G9PHCpKV71Pr8szeeIjE1G+nZ+Whc3wFz/tcDzRrWxSerjyhcRkFRCX7ZG4hHEYkQMYae7Zvgu4+H4du/zuLMjcoHoGjoUhu2VubYfPgmXr2u1LcdvYV9P07Gq4w8CEUi+DR2Uyix5XEc1ozxxYbLQejo5gprc9X+Pyvk85GWp5l+YqRm6NWrl8w3FoRUFR6Pg2UtM8z74IBkMMjI8ETsOjEPQ0d3wKHdNxQuy9a+FibP7os1Xx9VuHtSRe4FRUm1Bgu5FYXiYgFGj++Kf7ZfVfqN8J9r3iRloQ/iEHIrCluPfIz3JnXH7z/+V8GesvFk9LH9cfsFWJqbAoBkXlZFCYQi9J/xR+UbKmj78VsaK0vTsT2KTMQHX+0DAIjeejNLTZH1DyW2OtL1nQ6wd7ZDeFAEigtL0LZvK0z5bhxOb7kgNepdRfjFfMSExUsty3/dbPbt5RVxaeyE/hN64s7pEGSn5cKtZX3MWjsZkSHRCLvxTOFyBk7uDQFfiKj7LyASMXQd3gGjPh6KrYv3SrY58+99vDfJB7UdrBQuV1kJcem4GRiODz/3xa/fn0R+fjGmfjQAL2PS8DBYsbfP/BIBYqOkm/zk5ZY+DX57eUVc6tujn29r3LkeiZysAjRsXBcz5w9G5NNEPHkYp3A5A95pA6FAhOdPk8AYQ9deHhg5tgu2/ab8NAKKSsnIhbtrba2V79XUBY3rO2DlpjNK7WdpboIVH/pi1dbzyFZhcLOy/g18LPk9+mU64pMzseu7ifBwd8SzGMX+nbPzirD/TIjk76cvUmBTywwTh3VUKLGNS8pAZk4BRvTxxs5/b8OIx8PwPl6Iik9DcloOknPy0KSuYv8Oc3t3RUZ+IY7cD0NHN9XfYg/39sSI1i2QlleAa89f4I/AW8gvUW2KKlIzBAYG6joEYuBycwqRkZYrNcNBRloe4mPS4NZEuTm//Wf3RczzFITej0Mtq9LZDoyMS+dXrWVljsLCEojUTFaung/F+5N90Li5MzLSnqtVVkZaHkIfxKFZC9UG3+R4HN4elzROzRcXhqKgsERq7tqyjF4/7OOL6I2tvqDEVkcEfCFGfDgYs9f5g+NxSI5+hV3LD+DfP6Rv8s+LDmHNlD9wblegyp81yL8PFu6Yi4G892XHUiJAu37eePeToTC3MkdqfDrunA7BnpWHpJ5Orb20AikxqVgzVf6TsAnLxsDRzQEioQgJEUlYN20jLu67Jlkfe/QKSopmwaqWdqeLWPP1Mcz6bAi++XUCmIjhUUgMln28B0LBm+9z9t5KrF1xDOdPPlD5c8Rz1w3usFzmegFfiLadGmPU2K4wtzRFWko2bl+PxL7NgVL9bn766wOkJGVh3Yrjcj9r3LRecHKxg1AoQkJcOn5e+a9W+teKPQ2ORd8h3nBLESDWSfOXihF9vPEs5pXCCaSYq6Md6jnaYs2CUZJl4qkMru+aB7+FO5CgQFN+WZ7FvAJfIEQDJzul4yor9HkShvfxVmjbgiI+5nx/CD99NhJTRnUBAMQnZeLTn45CKGJ4Ep6IAV090DDZDHHO8vsLtWtQD2Pat8KoTXvlbqOIk4+e4mVWDtLy8tHMsQ4+698DHk51MW2P4oPaEUKIpsW9SJU5cjHHcWBK9mOt7+4A7/buOHplSbl1R68swbKP9iA4SL1kVNMtHNQpjVpbaIfx6ze21BRZf1BiqyPBZx8g+OyDCrdxcqsLAV+AsBuKD2UvK+l0cq+Lh4Hy+0KlvkzHgr6yE7O3y6kowT6/+wrO76583tOEyES4aWAqmYoU5Bdj/bf/Yv23/8pc7+RiB4FAiLAHir81lZV0OrnYVfgWODUlBwtn7qi0bKd6djh/6oHc9RdOPcSFUw8VCVNjAs8+Rj/f1hj4TltsvRuq0bItzEzQv0tz/HnwutL7xiZlYPziXVLLZr3nA0sLU6zfcxkpagyk1rh+HZgYGyFNwe4A8jR3c0R6lmJNu8xMjPHljEF4FJGAr//4DzyOhwnDOuDnz9/F1K//xqU7ERjYzRO+Pi3wV9QDmWXUMjXBmtFD8NWJC8gqUO8t9qGQN//Wka/SEZuehSOzJqCliyMexyj+/wshNZmNjQ0YY9j25T7s/+E4gDcPkd+2f/VxbFuyT63PGz1vGD78+QPcOnUPX434Uen9NR3bnug/4Oxe/i3pUIvx4BeXtu7oOLgtVgUsA1A6a8IIG/Wmibp9LQKDhreDWxNHScupOnWtUd/dAedOyB+9V5ZN686Um5d+9oIhKC4WYMfvF/AiUrXxScrqPcgLQoEQUc/Un4e8toM1WrVtiIv/qXYfwONkDx5F1GP8euwVgZASW31BiW0VGf7hYPhO649Pui9DTKhiN4edhrTF6S0XkPBcvYtix0FtsXFe5clVRRp41ENhbpFCiWtF+o3vgQYeruDxONja11KrLLF33u+EIaPaY96UrQqPGNixe1OcPnoPifEZan12h25NsWmtegMUNHB3QGFBidqJa19fb3y6dDhMzUxUGiHybbevRUAkYujSs7nGE9sBXT1gZMTDWQWa6r6thC+UmlYHgGTkw7eXV8TV0RaDu7fAzYcvkJ1bCHfXOvh0fC88i0nBo4hEhcsZ2rMlBAIRImJfQcQYerRrjP8Nboc/9l+rfGeUzhXoUtcG01f+I2kq9vUfp3H+r7no2aEJLt15BsYYerRvLDexbVDbDvXtbfHn+JGSZeK32KFffwrfDTsRr8SoymWFJb1CiVAIt9p2lNgS8ppAIECPHj3QIL5luXVLhnyH/DIDxKUlqFfP2DvZYeJX7yEzJUutcgDNxnb1UBAO/yw96ro4qQWAJ0ER+KTbUvhO748+fj4qf47YzcvhiAxPxNdr/LDrz0vg84WYMKM3sjPzcbrM7AMTZ/bBpFl9Mfmd9XLH1ZBVR+blFqGosASP7sVILT97byXOnbxfYYuq73+fhAd3ohHzOuHu1ssDvqM74Pg/t6UGy1Qktj6DvdC5R3PcvRmJjNRcOLvWxtgpPSASinB4r2pjXnA8DowyW40z4lEfW31DiW0VWDXxN5hZlHbQfxWXpvB+p/46r5HP/9RnmdplxD9LxMw2C9QuJ+hEML4a+SNWBXyJ4sKSyneoxOovj8DMzAQA8CpZ8Rv3/44oNvl2ZeZP2ap2GfExaZjtt1Htcm5deYZnj0snUs9Ts++pWEZaLho1c9JIWWUN7+2FK3cj5c4xd2vvZ/j2rzP479oTlT9jWM+W+GrWEHSd+LPM9XyBEB1bNYTf4HawMDdBSkYebj6IxrajtyAq0xlp47L3kZSaU+Gk8VNGdYFzHRuImAhxSZn4fss5hfrXAoC5qTFEjEn1f2KMgYGBx3EQiYDMnAI0byi/D1l0WgaGb5SeF/nTft1Ry9QUP5wJRHKO6m+xmznWgamREVLz1HuLTaqPqVOnAgBcXFzw/fffSy1TBsdx2LZtm0Zj0xeMMdy+fRsWcIYxZyK1LuJetNpT8JU1Y/VEBJ0IhpNbXbXL0mRsma+yEX5b/oj2BTkFCL8diY5D2mrk80QihmUf78XsBUPw6bLhMDY2wqN7Mfhx6WEUlxnJ3tzCFCXFfMm4GOowMy/9t61sJof4mDQMGdUeDk424HEcXsalY9O6M/h3v/RIw4rElpyQBQdHG8xe4Asra3Pk5Rbh4d0X2L3pElISs1T6HtQUWTvEb2yLBTRzgL6gxLYKpCeq97S2JinMK0Lw2YcoKeajZVs3tctLT9XOqMDVUWFBCQoLNHuuPQtNQPe+nrA0Ny03zL06Zn6zX+46FwcbCARCpd6ayko6XeraIiRc/iBqrzLyMOf7g5WW7eJgg/+uym/Kf/raE5xWIwG/ExqLj8b1wsIP+uHQuQfgOA6Th3eCUCjCvdfxP4t5ha6t3WFqxEOJjCfDJQIhIl9Jv63OLSp9aPD28oo0sLfF8NaeuBoZg8yCQjSpWxuLBvVCWFIKQuIU//cg1dvOnTvBcRw8PDwkia14GXt7BBoZxNvV5MS2qrTy8UT3UZ0w1fNTLP17nq7DqTocB54Rr9wATtmZ+Vj9ZcWj1rfwro+zJ+4rPf3PF7N2yiyrpESAEwfuVLjvprUB2KTAZygS29PQlzJjkYVnxHs94nHFOB7KDR5F1Gf8erofemOrPyixJTqREJmE+h6qje5Hqs61i2Hw6dcCQ3w8cfSi8gNVjRnQBiP6eGHGiv2IeqlYa4Wurd1x/PJjxKvZ7K6LtxvW7wlUqww3F3vkF/Fx+rrqiStQOlfuoqkDYGFmUm5dbFImFv58HNPe7YYty8dCxICI2FeY99MxpL/u63v1XhS6tWmEZb59sfzURZXjeLdtS6waNRieK9bLXM8XCtGtUUNM7tIOlqYmSMrJw5WIF/jjSpDUW2xLS0uVYyD6b/LkyeA4Di4uLuWWkcptDf0ZNg42eBWbitNbL+DgTyfKTROiCB6Ph483TMM/PxxFRnKWXsUGlHYt8p3eH0K+EI+vPsGWxfsU7mpVmS49miPgznLs3HgR/2y7qvB+xsZGaNTMqdLkV1Gt2jbEhVMPJFMHqkPTsXXs1hTf/17ab7lQTusnMR5HTZG1wYgrTWwFKv4/RDSPEluiEyHnH6GRV0M0bu6E6Aj1B2kg2nHtQhgWfTcGvTs2VTqxXb4xAGampZeY5DTFbwqOXdLMSM8zVsp/K6yo2KRMTFyyu/INK3EtJAphUclY+aEvImLL9wO/ExqHOxXcED54lgDGGOrblR8RVJ4lx8+VW+ZqZ4M7MfLfYifn5GHSzkOVls3j8RSOg1Q/O3fuVGgZkZaRlIldyw/g6e1IMMbQbUQnfPDtODi41sHvHyv/5nr4nEEwtzLHkfXKz1uq7diCTgbj6e1IvIpLg0tjJ4xfOhq/XPsWs9svRPIL1UeUB4Dffjgpmes+PVW5hFIgEGJ071VqfX5Z+7aoN65IWZqO7cmjeHw08S8A5edXfRtHg0dphRGPp1ArFlJ1KLElOhGw7RLGzH8Hg0e0x59qDr5EtEcgECE7qwAe7sr3s1V2wvearKCIj4KiLBTzBXintxcG+7RQ6i12Ww9X8AUiNHFUb17hHk3c8P2ZQLXK8PDwoIqcEBmCzz1E8Lk3gwDeO/8IxYUlGDNvGP7+/ohSb13t6trAf6UffvL/HQK++v33NBkbAGz89M2AlKHXn+LeuYfYHv4r3v98BDbMVW/siZexinefMGQF+cWIDFesiwjHcZTXaoGxEbVi0Tf02J3oROyTeJSUCNCuc2Ndh0Iq8fxpEmytzGFqTJcLdS3fGIBxi3Zh8rK9iE1SvD/0sUuPEP4iGY5WVmp9/thtB/A4Qb0WEs+ePUN+Pg0kVdONGjUKp06dUrmZKil15eBNGBkboUlbd6X28//GDy8ex+HxtXDUsrVELVtLGBkbwcjYCLVsLcEzUv96rGpssmQkZyH0+lM0a091uj7ieIr1jyfKETdFJvqD/kWIziTGpaNeQ/XeQBHtu3k5HBzHoW/n5roOpdpLzczDy5QsvEzJgkDJwSaCHsaAx+Pg00S7c0ATAgAnTpzAyJEjUb9+fSxZsgQRERG6DqlaUrVfcgMPV7Tu1RLHM3dJfrx6eKLTkLY4nrkL7Qe01lls8svTaHFEgxQZYIooz4i65egd+hchOnP/TjRMTIzRuLnmp5MhmnMp4BEYY+hHia1OnboaCsYYhnl56joUYgAaN24MxhiSk5Px008/oUWLFujVqxd27dqFgoKCygsgAIA+ft0hFAjx/H6MUvv9OX8nFvRdLvUT9SAGT4IisKDvcjy781xnsclSx8UerXw8EREcpXZZRPMUHdGcKMeYElu9Q/8iRGfO/HsfADB4RHsdR0IqUlhQgryCYrRs4qzrUAxaWmY+igQCdGhIo4kT7Xv+/DkCAwMxefJkWFpagjGG69evY+rUqXBxccGsWbNw69YtXYepV1YFLMP/Fo5AZ9926OzbDp/+OQOj5w3D8d8DkFlmlPdJy9/HedGhCueljXoYg0dXnkj95GXlIyc9F4+uPEFumTEMzosOYeH2uVUWW9+xPli0+2P0G98Dbfq0wpCp/bDuyjcQCkU4vO5k5QeKVLnSxFbXUdQ8PB71XdY3NHgU0ZmY5ynglwjQlvrZ6r3IuFS09agPHg+gLne6E5ueiSZ16+g6DGIgevXqhV69euH333/H/v37sXPnTty8eRO5ubnYunUrtm7dCk9PT0yfPh0TJ05E3brykyFDEP8sEb7T+sOhfh3weBxeRiThz/k7cXyD9ACJ5rXMUVJUgrws9fuqm78ePTijkunRNBlb8otXqFu/Dj5cPwVWdpbIyyrAg0uh2LX8AJJj1BsRmWgHx9E8ttpgxKMDq28MPrHNzc3FunXrcOTIEbx48QJGRkZo3rw5xo4di48//himpqa6DrHGEt1/goTIJLg2pTeB+u76/Wi0b9EAPm2b4FoINTXTlZCQOHgOdUTHEgcEmyo2ojIh6rKyssL06dMxffp0REREYNu2bdi7dy+SkpIQHh6Ozz//HIsXL8bw4cMxdepU+Pr66t2ct9qo642MjADhm783ztshf+MyWnRphjM7LiM/W7km3Z/3W1G+rK7NUFLMx7+/Vzy7gCZjC78dKTMWWXhGPJoeTA9wPA4034/mGfN4dFT1jEFfbWJjY9G6dWusXLkSoaGl/deKi4sRHByMzz//HF27dkVmZqauw6zRQi48gomZCdybUj9bfXb6WhgYYxjYlfrZ6tLp6+EAgKE9Wug4EmKomjdvjtWrVyM+Ph4nT57EqFGjYGxsDD6fj2PHjmH48OFo0KABvvzyS0RF6cdDMG3U9SYmJhAIBJi47H2l9jM2MUbjNm44sPq4UvvJ08rHE+d3X0FaguKjrMuj6dg6Dm6Ls/wDmPjVexopj6iOmiJrB4+mUdI7BpvYCoVCDB8+HDExMXBxccH58+eRn5+PgoIC7N+/H9bW1rh//z4mTJig61BrtIBtlwAAQ0a203EkpCJZuUUoLObDu7mrrkMxaM/jUsEXCNGpFY2MTHSLx+Nh2LBhOHr0KBITE7Fu3Tq0atUKjDEkJiZi1apV8PDw0HWYWqvr8/Ly0LFjR5zedkGp/QR8AUbZ+eNVnGZaXOz99jB+mfWXRsrSdGxPbj7D3E6LMLfTIszv9ZVGyiSqocGjtMOI49GLcD1jsIntzp078fjxYwDAkSNHMGDAAACllbWfnx/++qu0oggICMDFixd1FmdNFxMaB34xH+26NNF1KKQCtuHZiHv+Co726s2jStSXnJaDBs72ug6DEIk6depg/vz5ePDgAZYvXw4ejwfGmF7cSGurrheJRLh37x4ykqlVlzwFuYWIuBeNiHvRiHoQo+twDBrHUf6lDUY8HhgdWb1isIntrl27AAB9+/ZFt27dyq0fO3YsGjVqBADYvXt3lcZmaBKjklGvAc1nq++Cbz6HkREP7Tzr6zoUg/bgWQLMTI3hZEMPGYh+iIyMxNKlS9GwYUN88803koTW3Nxcx5FRXU8IQG9stYXHoybe+sYgE9uCggLcuHEDAODr6ytzG47jMGTIEADAuXPnqiw2QxRy4RFMTY3h1tiwR9TUd+dO3AdjDEN8qH+nLp0PegqO4zCqTUtdh0IMWEFBAXbs2IGePXvC09MTq1evRmJiIhhjaNOmDTZs2ICEhASdx0h1PSHUx1ZbSvvY0oHVJwaZ2IaHh0P0es4SLy8vuduJ1yUnJyMjQ/2BGYhsZ7ZfBgAMGUXz2eqzlKQslBQL6I2tjt0JjYNIxNC7mbuuQyEGSDyXrbOzM6ZPn44bN26AMQZbW1vMmTMH9+7dQ0hICObOnQs7Ozudxkp1PSGlSgcppwRM04zoja3eMcjpfhITEyW/u7rKHwyn7LrExETUrl2+uWxxcTGKi4slf+fk5GgoSsMR/SgWfL4A7amfrd57GZeGho0ddR2GwUvLykNTRwddh0EMRGJiInbt2oWdO3fi+fPnAADGGDiOQ9++fTFt2jSMGTMGZmZmOo5UGtX1hJTiOA5CysA0jt7Y6h+DfGObm5sr+d3S0lLudmXXld2nrFWrVsHW1lby06BBA80FakAS4zNRr2EdXYdBKnH/djRMjI3g4U7JrS49iUqGtZkpLGmebaIlfD4fhw8fxrBhw+Dm5oYvv/wSkZGRYIzB1dUVy5Ytw/Pnz3Hx4kWMHz9e75JagOp6QiQ40JtFLeBxPOq7rGcMMrHVpCVLliA7O1vyEx8fr+uQqqUHd6JgamqMBo2on60+O3fiPgBgaE/q36lLl+9GguM4DPf21HUopIaqV68e/Pz8cObMGQiFQhgbG2PMmDE4ffo0YmNj8e2330oGXTIEVNeT6oz62GoHNUXWPwaZ2FpbW0t+LygokLtd2XVl9ynLzMwMNjY2Uj9EeWf/LU2YfEfRfLb6LDa6dB7VDi3pbYUuXb4TAcYYBnhS832iHenp6WCMoUWLFli3bh0SEhJw6NAhDBkyBFxphz29R3U9IaV4NCqyVtBx1T8GmdjWq1dP8ntFozaWXVd2H6J5URHJpf1suzbVdSikEgmvstHAieZR1aUSgQhZhUVo6UItHIh2TJ8+HUFBQQgNDcX8+fPh4FD9+nRTXU9IKY4DJWBawOM4iKiPrV4xyMS2RYsW4PFKv3poaKjc7cTrnJ2dZQ4mQTQrMT4TrtTPVu+FhMfDzNQYrk62ug7FoD1NTkXtWpbgVY+XZ6Sa2bx5M7p06aLrMNRCdT0hr9GbRa3gURNvvWOQia2lpSV8fHwAAGfOnJG5DWMMZ8+eBQAMGjSoymIzVKL7T3A/4B71s60GAq49AQAM7yV/+gyifZcjosFxHAZ4UisHQmShup6QUhwNHqUVPI6DiA6sXjHIxBYA/P39AQCXL1/G7du3y60/dOgQoqOjAQCTJ0+u0tgM1dkdr+ezHUn9bPXZ4+dJEAhF6OLtputQDNqJh+FgjGFwq2a6DoUQvUV1PSEAB0rAtIGjxFbvGHRi6+3tDcYYxowZg4sXLwIARCIRDh06hBkzZgAAfH190b9/f12GajCeh0SDXyJAh640II6+S0nPgXs9ajauS1mFRSgo4aNtfeoTSIg8VNcTgtfT/VACpmk8HjXx1jfGug5AV4yNjXHixAn07dsXMTExGDBgACwtLSESiVBUVAQAaNeuHfbt26fjSA1LUlQyXBs76zoMUgHb8GyE341F/6Gt4f5KiBhHI12HZJDsnjPEvEyHZyMnXYdCiN6iup4Qmu5HW3jgIGQiXYdByjDYN7YA4O7ujkePHuHrr7+Gl5cXOI6DiYkJOnTogLVr1+LWrVuwt6fRX6tSyKVQmJpRP1t9F3j2MTiOw6DhbXUdikG7/SgWRjwe2jekt7aEyEN1PTF0HAcwGr1X46gpsv4x6MQWKJ2zbuXKlXj8+DHy8vKQk5OD4OBgLFiwAKamproOz+BQP9vq4e6NSIhEInTu0VzXoRi0/66HAQBGeLfQcSSE6Deq64lh48BElIBpGg0epX8MPrEl+uV5SDQEfCHad6F+tvouIzUXjZpSM1hdSkjJRglfgE7u9XUdCiGEED3FcaAETAt41HdZ71BiS/ROUkIG6rvRwET6Ljz0JSytzGBlQW87dOllShYa2NvoOgxCCCH6iqb70QqO4yCkN+F6hRJbonfu342GqZkJJbd67ur5MHAchyE9Wuo6FIMWEv4SpsbGcKtjp+tQCCGE6CEONHqvNpQOykXHVZ9QYkv0zvkTDwAAQ0a1120gpEI3L5fOo9qrAzUb16WAG08AAKPbttJxJIQQQvQSNZnVCo4DhHRc9YrBTvejLeILhwB80AB0qnny+AUy0jPR3MsJAmGxrsMhcgiEQFxsElzszSHgF+k6HIP1MDwGGVlZaONYG8Ji7f47iF6XTzdIxNBRXa+aIn4RcnJyUFRcQPV7FcrNyUVOTi7V1RqW9/q4arvurWrVua7nWHWMWo9FR0ejSRN6g0UIqbmioqLQuHFjXYdBiM5QXU8IqemqY11Pb2w1rHbt2gCAuLg42Nra6jia6iMnJwcNGjRAfHw8bGxoIBxF0XFTDR031WRnZ6Nhw4aS6xwhhorqetXQtVc1dNxUQ8dNNdW5rqfEVsN4vNJuy7a2tvQ/kQpsbGzouKmAjptq6LipRnydI8RQUV2vHrr2qoaOm2rouKmmOtb11S9iQgghhBBCCCGkDEpsCSGEEEIIIYRUa5TYapiZmRmWL18OMzMzXYdSrdBxUw0dN9XQcVMNHTdCStH/C6qh46YaOm6qoeOmmup83GhUZEIIIYQQQggh1Rq9sSWEEEIIIYQQUq1RYksIIYQQQgghpFqjxJYQQgghhBBCSLVGiS0hhBBCCCGEkGqNEtsqsHPnTnAcV+nPhQsXdB1qlcvNzcWKFSvg7e0NKysr2NraolOnTli3bh1KSkp0HZ7eoXNJtoKCAgQEBOC7777D6NGj4ebmJjkWK1asUKiMlJQULFiwAB4eHrCwsEDt2rXRs2dPbN26FTV1jD11jtuKFSsUOhefP39eNV+GEB2j67N8VNcrh84l2aiuV40h1fXGug7AkPB4PNStW1fu+uo4rLY6YmNj0adPH8TExAAALC0tUVxcjODgYAQHB2Pfvn24ePEi7O3tdRuoHqJzSdqdO3cwdOhQlfe/d+8eBg8ejPT0dACAlZUVcnNzcf36dVy/fh2HDh3CiRMnatxxVfe4AYCJiQlq164td72xMVUzxLDQ9Vka1fWqo3NJGtX1qjGkul4/ojAQDRo0kFzYDZ1QKMTw4cMRExMDFxcX7N69GwMGDIBIJMKhQ4cwY8YM3L9/HxMmTMDp06d1Ha7eoXOpPHt7e7Rv317yM3/+fCQnJ1e6X3Z2Nt555x2kp6fD09MTe/bsQceOHVFSUoItW7Zg/vz5OHfuHObPn4+NGzdWwTepWqoeN7Hu3bsjMDBQewESUs3Q9fkNquvVQ+dSeVTXq8ZQ6npKbIlO7Ny5E48fPwYAHDlyBN26dQNQ+nTSz88PIpEI48ePR0BAAC5evIj+/fvrMlyi53r27ImMjAypZYsXL1Zo37Vr1yI5ORkWFhY4ffo0GjVqBAAwNTXF3LlzkZOTg6VLl2Lz5s2YN28emjdvrvH4dUWd40YIIZWhup5oEtX1qjGkup762BKd2LVrFwCgb9++koqurLFjx0ouOrt3767S2Ej1Y2RkpPK+4vOr7DlX1scffwwrKysIhULs27dP5c/RR+ocN0IIqQzV9USTqK5XjSHV9ZTYkipXUFCAGzduAAB8fX1lbsNxHIYMGQIAOHfuXJXFRgzLs2fPEBcXB0D+uWhlZYWePXsCoHOREEIURXU90RdU1xsOSmyrUGpqKjp06AArKytYWFigcePGmDhxYrVos65J4eHhEIlEAAAvLy+524nXJScnl2tCYejoXNKM0NBQye+KnItPnjzRekzVTVhYGLy8vGBhYQErKyt4eHhI+s0RYojo+lyK6nr10bmkGVTXq6+61PWU2FahgoIChISEwNTUFCKRCC9evMC+ffvQt29fTJ06FQKBQNchVonExETJ766urnK3K7uu7D6EziVNUfZczMnJQV5entbjqk7S0tIQHh4uGek0IiICW7duRYcOHfDll1/qOjxCqhxdn0tRXa8+Opc0g+p69VWXup4S2ypQr149LF++HA8fPkRRUREyMjIkTXQGDBgAANixYwfmz5+v40irRm5uruR3S0tLuduVXVd2H0NG55Jm0bmoumbNmuGnn37Cs2fPUFRUhPT0dOTn5+Ps2bPo0KEDGGP4/vvvsW7dOl2HSkiVoOuzNLq+qo7OJc2ic1F11a6uZ6ScHTt2MAAq/wQEBCj8WUKhkI0cOZIBYDwej0VERGjxm+mHffv2SY5VZGSk3O3OnTsn2e7mzZtVGGH1ZIjnUkXc3NwYALZ8+XK523z//feSc4zP58vdbvPmzZLtEhMTtRCt/lDkuFWmsLCQderUiQFgVlZWLCsrS3MBEqIhVNdrF9X12mGI51JFqK5XTU2t6+mNrY7xeDysXbsWACASiXDy5EkdR6R91tbWkt8LCgrkbld2Xdl9iGyGeC6pi85F7TA3N8cPP/wAAMjLy8PFixd1HBEhumWI12e6vmqHIZ5L6qJzUTv0sa6neWxlGDduHN555x2V97e1tVVq+6ZNm8LBwQFpaWmIjo5W+XOri3r16kl+T0hIQOvWrWVul5CQIHMfIp+hnUvqevtctLGxkbmd+Fy0sbGBlZVVlcRW3ZWd2oPORaKPqK7XLqrrtcfQziV1UV2vPfpW11NiK4OZmRnMzMx0HUaN1aJFC/B4PIhEIoSGhsodel08ip2zszNq165dlSESA1F2dMTQ0FC0aNFC5nbic7Fly5ZVEhchRPuortcuquuJvqC63nBQU2Q9EBUVhbS0NACQOWl0TWNpaQkfHx8AwJkzZ2RuwxjD2bNnAQCDBg2qstiqO0M7l9Tl4eGBhg0bApB/Lubn5+PatWsA6FxUxq1btyS/07lIiOFdn6mu1x5DO5fURXW99uhbXU+JrZYxxipdv3DhQgCl/SbUaRZVnfj7+wMALl++jNu3b5dbf+jQIUmThsmTJ1dpbPqKziXtEJ9f+/fvR0xMTLn1f/zxB/Ly8mBkZIQJEyZUcXT6qbJzsbi4GMuWLQMA1KpVC/3796+KsAjRGbo+y0Z1vfLoXNIOquuVVy3ret2MWWU4Xrx4wTp16sQ2bdrEoqKimEgkYoyVjmoXFBTEBg8eLBmB7cMPP9RxtFWHz+czb29vBoC5urqyCxcuMMZKj8vBgweZjY0NA8B8fX11HKn+oHOpYhkZGSw1NVXy06BBAwaALVy4UGp5bm6u1H5ZWVnM2dmZAWAtW7ZkwcHBjDHGiouL2caNG5mpqWmNPqaqHLfAwEDWv39/tmfPHhYfHy9ZXlJSwi5cuCAZJREAW716tS6+FiFViq7PslFdrzw6lypGdb1qDKWup8RWy168eCE1PYCZmRlzcHBgZmZmUsunTJlS4RDkNdGLFy+Yu7u75BhYWloyc3Nzyd/t2rVjGRkZug5Tb9C5VDHx0PWV/fj7+5fbNzg4mNWpU0eyjbW1NTMxMZH8PWjQIFZUVFT1X6oKqHLcLl++LLXOwsKCOTg4SB0zHo/Hli5dqrsvRkgVouuzfFTXK4fOpYpRXa8aQ6nrafAoLXNycsKGDRsQFBSEBw8eIDU1FZmZmTA3N0ejRo3QvXt3TJ06VdIPxZC4u7vj0aNHWLt2LY4ePYoXL17AxMQErVq1wrhx4/Dxxx/D1NRU12HqDTqXtKdDhw4ICwvD6tWrcerUKcTHx6NWrVrw8vKCv78/pk6dCh6Pem6IeXt7Y+3atQgKCsLjx4+RlpaGrKwsWFpaomXLlujZsydmzpwJb29vXYdKSJWg67N8VNcrh84l7aG6XjnVsa7nGKukATUhhBBCCCGEEKLH6LEEIYQQQgghhJBqjRJbQgghhBBCCCHVGiW2hBBCCCGEEEKqNUpsCSGEEEIIIYRUa5TYEkIIIYQQQgip1iixJYQQQgghhBBSrVFiSwghhBBCCCGkWqPElhBCCCGEEEJItUaJLSGEEEIIIYSQao0SW0IIIYQQQggh1RoltoQQQgghhBBCqjVKbAkhhBBCCCGEVGuU2JJq7YMPPgDHcfjggw90HQpR0JdffgmO4/DTTz/pOhSVDBkyBBzH4dKlS7oOhRBiwAyl/quO37M6xkzo/qQmoMSWqGTGjBngOA516tRBcXGxwvs1bdoUHMdhxIgRWoyu1M6dO7FixQoEBgZq/bOIYl6+fImff/4ZdevWxdy5c6vsczV5vq5YsQIA8Pnnn0MkEmk6VEJIDaZvdSfVk1WPjrl+ovuTmoESW6KSadOmAQAyMjLw77//KrTPlStXEBUVJbW/Nu3cuRMrV66kykOPLFu2DIWFhfjiiy9Qq1atKvtcTZ6vXbt2xeDBg3H//n3s3btX88ESQmosTV6LXFxc4OHhARcXF5XjoXqy6tEx1090f1IzUGJLVNK1a1e0bNkSALBjxw6F9hFv5+TkhGHDhmktNqKfEhISsG/fPpiammLq1KlV+tmaPl9nz54NANW2uRIhRDc0eS1atWoVnj59ilWrVmk+UEIMCN2f1ByU2BKViZ8SnTt3Di9fvqxw29zcXBw+fBgAMHnyZBgbG2s9PqJftmzZAqFQiKFDh6J27dpV/vmaPF/F3yEsLAw3btzQTsCEkBqJ6k5C9Avdn9QclNgSlU2aNAkmJiYQiUTYtWtXhdseOHAA+fn5ACD3aVhgYCDef/99uLq6wszMDA4ODujfvz927NgBoVCocFw7d+4Ex3G4cuUKAGDlypXgOE7qJyYmRrJ9dnY29u/fjwkTJsDb2xu1a9eGubk53NzcMH78eNy6davCz2OMYceOHejWrRusra1ha2uLLl26YPPmzWCMKTSIRHJyMhYvXow2bdrA1tYW5ubmaNy4MaZPn44nT54o/N3F4uLiJN/18uXLFW47f/58cByH9u3bgzGm9GcpgjGGbdu2AQDGjx8vc5s+ffqA4zisWLECQqEQ69evR7t27WBlZQVHR0eMGjUKDx8+lGxfUFCA7777Dl5eXqhVqxbq1KkDPz8/SfOct2nyfDU1NcWYMWMAAJs3b678ABBCyGuauhZVVLeUvZ7y+XysW7cOHTt2hJ2dHTiOU7qedHd3l+wnj7x41K1jVfHq1SuYmJiA4zicOHGiwm2/+uorcByHpk2bllunqfsSgO5NymrVqhU4jsNvv/0md5upU6eC4zhMmTJF5c9RBN2f1DCMEDWMGTOGAWBNmzatcLvu3bszAMzHx0fm+vnz5zMADADjOI7Z2dkxIyMjybJ+/fqxnJyccvv5+/szAMzf31+ybP/+/czJyYmZmJgwAKxWrVrMyclJ6icuLk6y/fLlyyWfA4BZWVkxMzMzqXh+/fVXmXELBALm5+cnta29vT3j8XgMABs3bpzMGMs6efIks7KykpRhYmLCatWqJfnb1NSU7dq1q8LjK4udnR0DwDZs2CB3m+joaGZqasoAsIsXLyr9GYp69OiR5PskJSXJ3KZ3794MAFu6dCkbMGCA5LuXPRZWVlbs7t27LC0tjbVr144BYObm5szCwkKyjaOjI4uNjZX5GZo6XxljbM+ePZLPI4QQZWjiWlRR3SK+ni5atEhShrGxMbO3t2cAlK4n3dzcGAC2Y8cOubHKi0edOray71mRYcOGMQDsvffek7uNSCRijRo1YgDYihUrpNapel8iL2a6NymVn58vOY7Xrl2Tu13r1q0ZAPbLL78o/RnKoPuTmoUSW6KW06dPS/6HvXLlisxtnj59Ktlm27Zt5dZv2LBBsn7mzJmSC0teXh5bv349MzY2ZgCYn59fuX0VqdiXL19e4Xf4888/2fz589mtW7dYZmYmY6y0souOjmaffvop4ziOGRkZsZCQkHL7rlq1ShL7Z599xtLS0hhjjGVnZ7MffvhBUpnIi/H27duSxHLWrFksPDycCQQCxhhjsbGxbM6cOZIbkrt371b4Pd7Ws2dPBoDNnj1b7jbiim/YsGFKla2s33//nQFgDRo0kLuN+N/Lzs6O1alThx06dIiVlJQwkUjE7ty5wxo3bswAsO7du7N3332Xubu7s7NnzzKhUMiEQiG7cOECq1u3LgPAJkyYIPMzNHG+ikVEREi2Cw8PV+6AEEIMmiauRYrUf1ZWVszKyort2LGDFRQUMMYYS0tLY+np6VLbVVZPqpPYqlPHVvY9K3LgwAEGgJmZmUk+923Xrl2THOOoqCjJcnXuSyqL2dDvTYKCghgAxuPxWG5ursxtCgoKJMc4MDBQqfKVRfcnNQsltkQtQqGQ1a9fv8JK54svvpBUsG9fxAoKCljt2rUlTxBl+e233yT/g759AdVE5VGZuXPnMgBs2rRpUsvz8/OZjY2NzHViZZ+4yoqxU6dODAD76quv5H7+J598wgCwkSNHqhR3z549Za6/ffu2pGIMCwtTqmxlTZo0iQFg77zzjtxtxP9e8p7iXrx4UbLewsKCRUZGlttm27ZtkvUlJSXl1qt7vr5N/DR7+/btFW5HCCFlaeJapEj9B4CdOHFCbhxVkdhWRl4dq265hYWFzNbWlgFgf/31l8xtZs6cyQCwHj16SJape19SWcyGfm/yxx9/MADMw8ND7jbi5BcAy8rKUqp8ZdH9Sc1CfWyJWng8Hvz9/QEAhw8fRl5entR6oVCIPXv2AAD8/PxgZWUltf78+fPIyMgA8Gb+rbfNmTNHMp3BP//8o8nwFSIece769etSy8+ePYucnBwApcPEy7JgwQJYWlrKXPfw4UPcvXsXJiYmWLBggdzPnzx5MgDgwoULSvXp8fb2BgCEhYXJXL9w4UIwxjB9+nTJiHzakpiYCACoW7dupdv26NEDPXr0KLe8d+/eMDMzAwC89957MvtDDR48GABQWFiIyMjIcuvVPV/fVqdOHQBvvh8hhChC09cieVq1aoXhw4erF6yWyatj1WVubo73338fACTHsqzi4mIcPHgQQGkfR7HqcF8CVN97k/v37wMA2rdvL3eb4OBgAECjRo1ga2urcNmqoPuTmoUSW6I2cQf//Px8HDhwQGpdQEAAkpKSJNu9TXzxatCgAZo3by6zfCMjI/Tr109qe02Ljo7G559/jg4dOsDOzg5GRkaSwRyGDh0KAOVGqgsJCQEANGzYEI0aNZJZrrW1NTp06CBznbgyEolE8PDwgLOzs8yfIUOGAADy8/ORnp6u8Hdq3bo1gNK50ZKTk6XWnThxAlevXoWVlRVWrlxZbl+hUIjVq1ejadOmMDMzQ5MmTfDdd99BIBAo/PllpaamAoBCow127txZ5nIjIyM4ODgAADp16iRzGycnJ8nvmZmZMrdR53x9m/j7iL8fIYQoSpPXInl8fHzUilFTVKljNUGcfN24cQMvXryQWnfq1ClkZWXBzMwM//vf/yTL9eW+BKiZ9ybi+CpKbO/duwcAaNu2bbl1dH9C9ycVocSWqK1x48bo06cPAGD79u1S68R/e3p6onv37uX2ffXqFQDA1dW1ws+oX7++1PaadOzYMbRs2RLr1q1DSEgIsrOzJSPdOTk5wd7eHgAko9CJiS8W9erVq7B8ed9N/BRNKBQiJSVF7k9aWppkn4KCAoW/l7e3NziOAyD91lYoFGLRokUAgEWLFkldbMU+/vhjLF68GB06dMAff/yBgQMH4uuvv8asWbMU/vyyioqKAEDyRLMi1tbWcteJh7WXt03ZYe/5fL7MbdQ5X99mYWEB4M33I4QQRWnyWiSPo6Ojyvtqiqp1rCb06NEDjRo1AmMMe/fulVonfvs1YsQI2NnZSZbrw30JUDPvTfh8vuR+RJHEtl27duXW0f0J3Z9UhBJbohHiObhu3ryJZ8+eAQDS0tJw6tQpqfXyiBOwyii6naLS09PxwQcfoLi4GP369UNgYCAKCgqQnZ2NlJQUJCcn49ChQzL3Za+nxqksJvF2bxM33fH09AQr7e9e6Y+7u7vC383KykqyfdnEdsuWLXj69ClcXV3x2Wefldvv8ePH2LRpE/z8/HDgwAFMnz4dmzZtwsKFC7F9+3aVnk6Lm8TIe0pZ1dQ9X8XEzdXE348QQpShqWuRPEZGRuoFqCZ16lhN4DgOEydOBCDdHDk9PR2nT58G8Oatrqx9Ff0MTaup9yZhYWEoLi4GIDtpBUrnaRVPJfT2G1u6P6H7k8pQYks0YsyYMZInnjt27ABQWonw+XwYGxtL9V8pS/w0OT4+vsLyxU1tFOkDoYzTp08jJycH9vb2OHnyJHr37i15yiX2djNeMXHslfVfkLfe2dkZQGlTI208qQbeNEcWJ7Z5eXmSPkPfffedzD42+/fvB2MMn3zyidRy8d/79+9XOg7xv5v4Qqtrqp6vbxN/H02fl4QQw6Cpa5G2id82VfT2Jzs7u9wydepYTREnrpGRkZK5Xw8cOAA+n4+6detKmtSK6fq+BKi59ybiuV7d3d0lb5zfduLECUly/XZiS/cndH9SGUpsiUaYm5tLJrbevXs3hEKh5H/Id955R2ZzVwDo2LEjgNIKIiIiQuY2QqEQly9fBiC/74IsPF7p6S3vqSTwpuLy8PCQO5DChQsXZC4XN6OJjY2VmlS9rLy8PEmTmreJ+z6VlJTg2LFjcmNUx9uJ7Zo1a5CSkoI2bdrIfUodHBwMHo8n+bcRc3V1haurq0pPRMWDU0VHRyu9rzaoer6WlZubK2mK1aJFC+0FSwipsTRxLVKHIvUkAEkSIi/ZE4lEMusGdepYTWnatCm6desG4M1bW/F/x40bJ9VEFNDufQlg2Pcm4kGTZA2uBJSeR5s2bQJQ+qaxQYMGUuvp/oTuTypDiS3RGHHziKSkJHz77bd4/Pix1HJZBg4cKGkmIW/0wb/++kvyZHHcuHEKx2NjYwMAyMrKkruNeLS9iIgImU+iHzx4gL///lvmvoMGDZJ8xg8//CBzm/Xr18vte9KxY0dJU5xly5ZV2sFflaeJZRPbpKQkrFu3DgCwdu1aSeX6tsTERDg4OMDU1LTcunr16iEhIUHpOHr16gWg9GmtuBmSrqlyvpYVHBwMkUgEY2NjvRmghRBS/ah7LVKHIvUkALRp0wZAab9PWQnZrl27ZA7+pE4dq0niB7kHDhzAkydPJG9uZT3g1eZ9CWDY9ybivqXy+iWvWLFCMniVrIGj6P6E7k8qQ4kt0Zj27dtLLkTffvstAMDFxQW+vr5y97GwsJBUHP/88w9mz56NlJQUAKWDEWzYsAHz5s0DUDq8ubxR/GTx8vICUNqkR97FbtCgQeDxeMjIyMCECRMk25WUlODgwYMYNGiQ3IEAatWqJRmEacuWLfjiiy8kF/jc3FysXr0aK1askNvchuM4bNq0CWZmZoiLi0OXLl1w+PBhqcomISEBe/fuxcCBAyWfpQzxlD9ZWVmYMWMG8vPz4evriwEDBsjdp6CgQO4gCubm5igsLFQ6Dh8fHxgbG6OkpAQPHjxQen9tUOV8Lev27duSclSdioMQQtS9FqlDkXoSeJO8hYeHY+bMmZJRcHNycrB+/XrMnj1b5qiy6tSxmuTn5wdTU1Okp6dLplRp0aKFzHsKbd6XAIZ9byJ+e/jo0SP8+OOPkqbOoaGh8Pf3x48//ih5qCArsaX7E7o/qZT2p8olhmTDhg2SSaoBsMWLFyu03/z58yX7cBzH7O3tmbGxsWRZ3759WU5OTrn9KpoEPSIigpmbmzMAjMfjMScnJ+bm5sbc3NxYfHy8ZLtFixZJxWxra8tMTEwYANaoUSO2b98+ybq38fl89t5770nW83g8Zm9vz4yMjBgANmnSJDZ58mQGgM2aNUvmdz937hyrU6eOpAwjIyNWp04dZmlpKRXX9OnTFTqWZQmFQmZhYSFVdmhoaIX7tGzZkjk6Ospc16lTJ9akSROl42CMsZEjRzIAbOnSpTLXKzJpvZubGwPAduzYIXcb8Xe9fPlypTGper4yxli3bt0YAPbLL78ovA8hhMiiyrWoovpPkespY4rXk4wxSV0m/rGzs2M8Ho8BYB999JHceNSpYyv7nsoYPXq0VByrVq2qcHtV70sqi9mQ703y8/NZo0aNpPYXH1NbW1t2/Phx5uzszACwPXv2lNuf7k8UY8j3J/TGlmjUhAkTYG5uLvlb0fn3fv75Z1y6dAljxoyBk5MT8vLyYG1tjb59+2L79u04f/680k91mzVrhsuXL2PEiBGoW7cu0tPTERsbi9jYWKn5zn788Ufs3r0bnTt3hoWFBfh8Ppo2bYqlS5fi/v37FQ6Zb2xsjIMHD2Lr1q2S/QUCATp27IitW7di9+7dkuZGZacTKGvgwIF4/vw5Vq1ahR49esDW1hZZWVng8Xho2bIlpk2bhhMnTmDDhg1KfX+gtC9Pq1atJH9PnTpV6m9Z6tevj7S0NJSUlJRbl5iYWOkUCPKIh+L/+++/K+3PVVVUPV9fvHiBoKAgWFhYyO2rTAghilL1WqQuRetJoHS6kV9//RVt27aFhYUFRCIRfHx8cODAgQrrJ3XqWE0qe63m8XiS0ZLl0cZ9CWDY9yaWlpa4evUqJkyYAFdXV1hYWKBJkyb4/PPP8eTJE/j4+EgGxZL1xpbuTypn8Pcnus6sCanJRCIRq1+/PgPAdu/eretwFLJkyRIGgN24cUNq+cuXLxkA9tlnn6lUrlAoZE2aNGEA2JUrVzQRqs6sXLmSAWBTpkzRdSiEEEKIUqrjvQljdH+iCEO/P6E3toRo0Z49e/Dy5UsYGxujf//+ug5HIX5+fuA4Dr/99pvUcvHffn5+KpXL4/EkfUV+/PFH9YLUofz8fGzYsAFmZmZYvny5rsMhhBBClFId700Auj+pDN2f0OBRhKht3LhxOHz4sGRodQBISUnBjz/+iBkzZgAobQJVVc2t1NWmTRvMnDkTBw4cgJ+fH7Zt24YPP/wQa9asgb+/Pzp37qxy2WPHjkXnzp0REBAgGdyguvn999+RlpaGTz75BG5ubroOhxBCCCmnpt2bAHR/Uhm6PwE4xvSkMTkh1ZSdnZ1kYnpLS0uYmJhITVTfs2dPnDp1SjL8fnUgEAiwZs0abN26FS9fvkS9evUwZcoULFmyBCYmJmqV/eDBAxw/fhydOnXCsGHDNBRx1fn999+Rnp6OefPmSaZkIIQQQvRJTbw3Aej+pCJ0f0KJLSFq2717NwICAnD//n28evUKeXl5sLOzQ9u2bTF27FhMmjRJ7YstIYQQQoii6N6EGCJKbAkhhBBCCCGEVGvUx5YQQgghhBBCSLVGiS0hhBBCCCGEkGqNEltCCCGEEEIIIdUaJbaEEEIIIYQQQqo1SmwJIYQQQgghhFRrlNgSQgghhBBCCKnWKLElhBBCCCGEEFKtUWJLCCGEEEIIIaRao8SWEEIIIYQQQki1RoktIYQQQgghhJBq7f87nbkTi1SJRQAAAABJRU5ErkJggg==",
+ "text/plain": [
+ "<Figure size 1000x400 with 2 Axes>"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "\n",
+ "# Create a figure\n",
+ "fig = plt.figure(figsize=(10, 4))\n",
+ "\n",
+ "\n",
+ "# Define the grid\n",
+ "gs = gridspec.GridSpec(1, 2, width_ratios=[1.3, 1.3])\n",
+ "plt.subplots_adjust(wspace=0.2, top = 0.96, bottom = 0.18, left = 0.06, right = 0.99)\n",
+ "\n",
+ "# Create subplots\n",
+ "ax0 = plt.subplot(gs[0])\n",
+ "ax1 = plt.subplot(gs[1])\n",
+ "\n",
+ "\n",
+ "#plot the csd with background polytopes\n",
+ "ax0.pcolormesh(1e3*xnV,1e3*ynV,csd_datanV) \n",
+ "plot_polytopes(ax0,polytopesnV, axes_rescale = 1e3, skip_dots = [4,5], fontsize=10)\n",
+ "\n",
+ "ax1.pcolormesh(1e3*xV,1e3*yV,csd_dataV)\n",
+ "plot_polytopes(ax1,polytopesV, axes_rescale = 1e3, skip_dots = [4,5], fontsize=11)\n",
+ "\n",
+ "# plot customisation\n",
+ "ax0.set_xlabel('Voltage $v_0$ (mV)')\n",
+ "ax0.set_ylabel('Voltage $v_1$ (mV)')\n",
+ "ax0.set_xlim(xnV[0]*1e3,xnV[-1]*1e3)\n",
+ "ax0.set_ylim(ynV[0]*1e3,ynV[-1]*1e3)\n",
+ "ax0.set_aspect('equal')\n",
+ "\n",
+ "# plot customisation\n",
+ "ax1.set_xlabel('Virtual voltage $u_0$ (mV)')\n",
+ "ax1.set_ylabel('Virtual voltage $u_1$ (mV)')\n",
+ "ax1.set_xlim(xV[0]*1e3,xV[-1]*1e3)\n",
+ "ax1.set_ylim(yV[0]*1e3,yV[-1]*1e3)\n",
+ "ax1.set_aspect('equal')\n",
+ "plt.savefig(\"figures/fig6.png\")\n"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "46cbca07",
+ "metadata": {},
+ "source": [
+ "### Fig 7: Sensor parameters"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "a5a3f96f",
+ "metadata": {},
+ "source": [
+ "We now show the consequence of different source of the noise:\n",
+ "- Fast noise: noise that is present in the sensor signal and is fast compared to the measurement time.\n",
+ "- Slow noise: noise that is present in the sensor signal and is slow compared to the measurement time.\n",
+ "- Temperature (relevant for tunnel coupling simulations)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 40,
+ "id": "0fb9511e",
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "EXPERIMENT INITIALIZED\n",
+ "-----------------------\n",
+ "\n",
+ " Capacitance model deployed with the following parameters:\n",
+ " Dot-dot capacitances: \n",
+ " [[20. 10. 0. 0. 1.6 0. ]\n",
+ " [10. 20. 6. 0. 1.4 0. ]\n",
+ " [ 0. 6. 20. 7. 0. 1.4]\n",
+ " [ 0. 0. 7. 20. 0. 2. ]\n",
+ " [ 1.6 1.4 0. 0. 20. 0. ]\n",
+ " [ 0. 0. 1.4 2. 0. 20. ]]\n",
+ " Dot-gate capacitances: \n",
+ " [[11. 1.5 0. 0. 0. 0. ]\n",
+ " [ 1.2 11. 0. 0. 0. 0. ]\n",
+ " [ 0. 0. 11. 1.3 0. 0. ]\n",
+ " [ 0. 0. 1.4 11. 0. 0. ]\n",
+ " [ 0. 0. 0. 0. 11. 0. ]\n",
+ " [ 0. 0. 0. 0. 0. 11. ]]\n",
+ " Size of Coulomb peaks V[n] scale as 0.701/(n + 6)\n",
+ " \n",
+ "\n",
+ " Sensor model deployed with the following parameters: \n",
+ " Sensor dot indices: [4, 5]\n",
+ " Sensor detunings: [0.3 0.3] meV\n",
+ " Coulomb peak width: 0.55 meV\n",
+ " Slow noise amplitude: 0.0 ueV\n",
+ " Fast noise amplitude: 0.0 ueV\n",
+ " Signal noise scale: 0.0\n",
+ " \n",
+ "\n",
+ " Tunneling model deployed with the following parameters:\n",
+ " Tunneling matrix:\n",
+ " [[0.e+00 5.e-05 0.e+00 0.e+00 0.e+00 0.e+00]\n",
+ " [5.e-05 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00]\n",
+ " [0.e+00 0.e+00 0.e+00 6.e-05 0.e+00 0.e+00]\n",
+ " [0.e+00 0.e+00 6.e-05 0.e+00 0.e+00 0.e+00]\n",
+ " [0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00]\n",
+ " [0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00]]\n",
+ " Temperature: 0.1 K\n",
+ " Energy range factor: 5\n",
+ " \n",
+ "EXPERIMENT INITIALIZED\n",
+ "-----------------------\n",
+ "\n",
+ " Capacitance model deployed with the following parameters:\n",
+ " Dot-dot capacitances: \n",
+ " [[20. 10. 0. 0. 1.6 0. ]\n",
+ " [10. 20. 6. 0. 1.4 0. ]\n",
+ " [ 0. 6. 20. 7. 0. 1.4]\n",
+ " [ 0. 0. 7. 20. 0. 2. ]\n",
+ " [ 1.6 1.4 0. 0. 20. 0. ]\n",
+ " [ 0. 0. 1.4 2. 0. 20. ]]\n",
+ " Dot-gate capacitances: \n",
+ " [[11. 1.5 0. 0. 0. 0. ]\n",
+ " [ 1.2 11. 0. 0. 0. 0. ]\n",
+ " [ 0. 0. 11. 1.3 0. 0. ]\n",
+ " [ 0. 0. 1.4 11. 0. 0. ]\n",
+ " [ 0. 0. 0. 0. 11. 0. ]\n",
+ " [ 0. 0. 0. 0. 0. 11. ]]\n",
+ " Size of Coulomb peaks V[n] scale as 0.701/(n + 6)\n",
+ " \n",
+ "\n",
+ " Sensor model deployed with the following parameters: \n",
+ " Sensor dot indices: [4, 5]\n",
+ " Sensor detunings: [0.3 0.3] meV\n",
+ " Coulomb peak width: 0.55 meV\n",
+ " Slow noise amplitude: 0.0 ueV\n",
+ " Fast noise amplitude: 20.0 ueV\n",
+ " Signal noise scale: 0.0\n",
+ " \n",
+ "\n",
+ " Tunneling model deployed with the following parameters:\n",
+ " Tunneling matrix:\n",
+ " [[0.e+00 5.e-05 0.e+00 0.e+00 0.e+00 0.e+00]\n",
+ " [5.e-05 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00]\n",
+ " [0.e+00 0.e+00 0.e+00 6.e-05 0.e+00 0.e+00]\n",
+ " [0.e+00 0.e+00 6.e-05 0.e+00 0.e+00 0.e+00]\n",
+ " [0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00]\n",
+ " [0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00]]\n",
+ " Temperature: 0.1 K\n",
+ " Energy range factor: 5\n",
+ " \n",
+ "EXPERIMENT INITIALIZED\n",
+ "-----------------------\n",
+ "\n",
+ " Capacitance model deployed with the following parameters:\n",
+ " Dot-dot capacitances: \n",
+ " [[20. 10. 0. 0. 1.6 0. ]\n",
+ " [10. 20. 6. 0. 1.4 0. ]\n",
+ " [ 0. 6. 20. 7. 0. 1.4]\n",
+ " [ 0. 0. 7. 20. 0. 2. ]\n",
+ " [ 1.6 1.4 0. 0. 20. 0. ]\n",
+ " [ 0. 0. 1.4 2. 0. 20. ]]\n",
+ " Dot-gate capacitances: \n",
+ " [[11. 1.5 0. 0. 0. 0. ]\n",
+ " [ 1.2 11. 0. 0. 0. 0. ]\n",
+ " [ 0. 0. 11. 1.3 0. 0. ]\n",
+ " [ 0. 0. 1.4 11. 0. 0. ]\n",
+ " [ 0. 0. 0. 0. 11. 0. ]\n",
+ " [ 0. 0. 0. 0. 0. 11. ]]\n",
+ " Size of Coulomb peaks V[n] scale as 0.701/(n + 6)\n",
+ " \n",
+ "\n",
+ " Sensor model deployed with the following parameters: \n",
+ " Sensor dot indices: [4, 5]\n",
+ " Sensor detunings: [0.3 0.3] meV\n",
+ " Coulomb peak width: 0.55 meV\n",
+ " Slow noise amplitude: 30.0 ueV\n",
+ " Fast noise amplitude: 0.0 ueV\n",
+ " Signal noise scale: 0.0\n",
+ " \n",
+ "\n",
+ " Tunneling model deployed with the following parameters:\n",
+ " Tunneling matrix:\n",
+ " [[0.e+00 5.e-05 0.e+00 0.e+00 0.e+00 0.e+00]\n",
+ " [5.e-05 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00]\n",
+ " [0.e+00 0.e+00 0.e+00 6.e-05 0.e+00 0.e+00]\n",
+ " [0.e+00 0.e+00 6.e-05 0.e+00 0.e+00 0.e+00]\n",
+ " [0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00]\n",
+ " [0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00]]\n",
+ " Temperature: 0.1 K\n",
+ " Energy range factor: 5\n",
+ " \n",
+ "EXPERIMENT INITIALIZED\n",
+ "-----------------------\n",
+ "\n",
+ " Capacitance model deployed with the following parameters:\n",
+ " Dot-dot capacitances: \n",
+ " [[20. 10. 0. 0. 1.6 0. ]\n",
+ " [10. 20. 6. 0. 1.4 0. ]\n",
+ " [ 0. 6. 20. 7. 0. 1.4]\n",
+ " [ 0. 0. 7. 20. 0. 2. ]\n",
+ " [ 1.6 1.4 0. 0. 20. 0. ]\n",
+ " [ 0. 0. 1.4 2. 0. 20. ]]\n",
+ " Dot-gate capacitances: \n",
+ " [[11. 1.5 0. 0. 0. 0. ]\n",
+ " [ 1.2 11. 0. 0. 0. 0. ]\n",
+ " [ 0. 0. 11. 1.3 0. 0. ]\n",
+ " [ 0. 0. 1.4 11. 0. 0. ]\n",
+ " [ 0. 0. 0. 0. 11. 0. ]\n",
+ " [ 0. 0. 0. 0. 0. 11. ]]\n",
+ " Size of Coulomb peaks V[n] scale as 0.701/(n + 6)\n",
+ " \n",
+ "\n",
+ " Sensor model deployed with the following parameters: \n",
+ " Sensor dot indices: [4, 5]\n",
+ " Sensor detunings: [0.3 0.3] meV\n",
+ " Coulomb peak width: 0.55 meV\n",
+ " Slow noise amplitude: 0.0 ueV\n",
+ " Fast noise amplitude: 0.0 ueV\n",
+ " Signal noise scale: 0.0\n",
+ " \n",
+ "\n",
+ " Tunneling model deployed with the following parameters:\n",
+ " Tunneling matrix:\n",
+ " [[0.e+00 5.e-05 0.e+00 0.e+00 0.e+00 0.e+00]\n",
+ " [5.e-05 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00]\n",
+ " [0.e+00 0.e+00 0.e+00 6.e-05 0.e+00 0.e+00]\n",
+ " [0.e+00 0.e+00 6.e-05 0.e+00 0.e+00 0.e+00]\n",
+ " [0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00]\n",
+ " [0.e+00 0.e+00 0.e+00 0.e+00 0.e+00 0.e+00]]\n",
+ " Temperature: 0.5 K\n",
+ " Energy range factor: 5\n",
+ " \n"
+ ]
+ }
+ ],
+ "source": [
+ "# We define the baseline configuration files:\n",
+ "sensor_config_base = {\n",
+ " # Specify list of indices of dots that are sensors\n",
+ " \"sensor_dot_indices\": [4,5],\n",
+ " # Specify a list of the same length, with detuning for each sensor \n",
+ " \"noise_amplitude\": {\"fast_noise\": 1e-99, \"slow_noise\": 1e-99}, # sigma of the noise in eV, typically 10 ueV\n",
+ " \"peak_width_multiplier\": 10, # broedening of the peak due to tunnel coupling to reservoir, width = p_w_m*0.12meV*T/0.1K\n",
+ " \"sensor_detunings\": [3*1e-4,3*1e-4], #detuning from the center of coulomb peak in eV, typically ~ peak width\n",
+ "\n",
+ "}\n",
+ "\n",
+ "tunneling_config_base = {\n",
+ " \"tunnel_couplings\": tunnel_couplings,\n",
+ " \"temperature\": 0.1,\n",
+ " \"energy_range_factor\": 5,\n",
+ "}\n",
+ "\n",
+ "\n",
+ "\n",
+ "#Here we define the parameters to be scanned in four different experiments\n",
+ "experiment_params = [{\"slow_noise_amp\": 1e-99, \"fast_noise_amp\": 1e-99, \"temperature\": 0.1, \"width\": 20},\n",
+ " {\"slow_noise_amp\": 1e-99, \"fast_noise_amp\": 20*1e-6, \"temperature\": 0.1, \"width\": 20},\n",
+ " {\"slow_noise_amp\": 30*1e-6, \"fast_noise_amp\": 1e-99, \"temperature\": 0.1, \"width\":20},\n",
+ " {\"slow_noise_amp\": 1e-99, \"fast_noise_amp\": 1e-99, \"temperature\": 0.5, \"width\": 4},]\n",
+ "#NOTE: In the last experiment we keep width of Coulomb peak constant by compensating temperature with peak_width_multiplier.\n",
+ "\n",
+ "# Generation of four different experiment objects:\n",
+ "sensor_experiment = []\n",
+ "for params in experiment_params:\n",
+ " sensor_config = sensor_config_base.copy()\n",
+ " tunneling_config = tunneling_config_base.copy()\n",
+ "\n",
+ " sensor_config[\"noise_amplitude\"] = {\"fast_noise\": params[\"fast_noise_amp\"], \"slow_noise\": params[\"slow_noise_amp\"]}\n",
+ " tunneling_config[\"temperature\"] = params[\"temperature\"]\n",
+ " sensor_config[\"peak_width_multiplier\"] = params[\"width\"] \n",
+ " sensor_experiment.append(Experiment(capacitance_config, tunneling_config, sensor_config))\n",
+ " \n"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 41,
+ "id": "87cfa416",
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "v_offset found: [0.02099275 0.03913514 0.01315959 0.04491494]\n",
+ "v_offset found: [0.02099275 0.03913514 0.01315959 0.04491494]\n",
+ "v_offset found: [0.02099275 0.03913514 0.01315959 0.04491494]\n",
+ "v_offset found: [0.02099275 0.03913514 0.01315959 0.04491494]\n"
+ ]
+ }
+ ],
+ "source": [
+ "# Compute CSD in four experiments defined in the previous cell (It takes about 4x2min)\n",
+ "sensor_signal_list = []\n",
+ "polytopes_list = []\n",
+ "\n",
+ "for k in range(4):\n",
+ " x,y, CSD_data, polytopes1, sensor_signal, _ = sensor_experiment[k].generate_CSD(\n",
+ " x_voltages = np.linspace(-0.01, 0.010, 100),\n",
+ " y_voltages = np.linspace(-0.015, 0.015, 100),\n",
+ " plane_axes = [[1,0,0,0,0,0],[0,1,0,0,0,0]],\n",
+ " target_state = [2,3,1,4,5,5],\n",
+ " target_transition = [0,1,0,0,0,0],\n",
+ " compensate_sensors = True, #Sensors are conmpensated to not affects noise effects\n",
+ " use_virtual_gates = False,\n",
+ " compute_polytopes = True,\n",
+ " use_sensor_signal = True\n",
+ " )\n",
+ " sensor_signal_list.append(sensor_signal)\n",
+ " polytopes_list.append(polytopes1)\n",
+ "\n",
+ " "
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 49,
+ "id": "7199e085",
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ "/var/folders/wj/x78z9z710q7csr068fhd10bxk7mx3x/T/ipykernel_9566/3274068000.py:25: UserWarning: Adding colorbar to a different Figure <Figure size 400x600 with 5 Axes> than <Figure size 400x600 with 4 Axes> which fig.colorbar is called on.\n",
+ " cb = plt.colorbar(pc1,ticks = [], cax=cbaxes, orientation='horizontal')\n",
+ "/var/folders/wj/x78z9z710q7csr068fhd10bxk7mx3x/T/ipykernel_9566/3274068000.py:25: UserWarning: Adding colorbar to a different Figure <Figure size 400x600 with 6 Axes> than <Figure size 400x600 with 5 Axes> which fig.colorbar is called on.\n",
+ " cb = plt.colorbar(pc1,ticks = [], cax=cbaxes, orientation='horizontal')\n",
+ "/var/folders/wj/x78z9z710q7csr068fhd10bxk7mx3x/T/ipykernel_9566/3274068000.py:25: UserWarning: Adding colorbar to a different Figure <Figure size 400x600 with 7 Axes> than <Figure size 400x600 with 6 Axes> which fig.colorbar is called on.\n",
+ " cb = plt.colorbar(pc1,ticks = [], cax=cbaxes, orientation='horizontal')\n",
+ "/var/folders/wj/x78z9z710q7csr068fhd10bxk7mx3x/T/ipykernel_9566/3274068000.py:25: UserWarning: Adding colorbar to a different Figure <Figure size 400x600 with 8 Axes> than <Figure size 400x600 with 7 Axes> which fig.colorbar is called on.\n",
+ " cb = plt.colorbar(pc1,ticks = [], cax=cbaxes, orientation='horizontal')\n"
+ ]
+ },
+ {
+ "data": {
+ "image/png": "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",
+ "text/plain": [
+ "<Figure size 400x600 with 8 Axes>"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "image/png": "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",
+ "text/plain": [
+ "<Figure size 400x600 with 8 Axes>"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "#Plot of the four experiments and the gradients\n",
+ "#Generate 2x2 plot number 1 (signals)\n",
+ "fig, axs = plt.subplots(2,2, figsize = (4,6))\n",
+ "plt.subplots_adjust(wspace=0.3, hspace=0.3, top = 0.98, bottom = 0.16, left = 0.06, right = 0.99)\n",
+ "\n",
+ "#Generate 2x2 plot number 2 (gradients)\n",
+ "fig, axs2 = plt.subplots(2,2, figsize = (4,6))\n",
+ "plt.subplots_adjust(wspace=0.3, hspace=0.3, top = 0.98, bottom = 0.16, left = 0.06, right = 0.99)\n",
+ "\n",
+ "\n",
+ "for k in range(4):\n",
+ " ax = axs[k//2,k%2]\n",
+ " ax2 = axs2[k//2,k%2]\n",
+ " pc1 = ax.pcolormesh(1e3*x,1e3*y,sensor_signal_list[k][:,:,0], cmap=\"viridis_r\") \n",
+ " pc2= ax2.pcolormesh(1e3*x,1e3*y,\n",
+ " np.gradient(sensor_signal_list[k][:,:,0],axis=1),cmap=\"viridis_r\") #gradient along x-axis\n",
+ " if k%2==0:\n",
+ " ax.set_ylabel('$v_1$ (mV)')\n",
+ " ax2.set_ylabel('$v_1$ (mV)')\n",
+ " if k//2==1:\n",
+ " ax.set_xlabel('$v_0$ (mV)')\n",
+ " ax2.set_xlabel('$v_0$ (mV)')\n",
+ " \n",
+ " cbaxes = inset_axes(ax, width=\"40%\", height=\"3%\", loc='lower center', borderpad=1.2)\n",
+ " cb = plt.colorbar(pc1,ticks = [], cax=cbaxes, orientation='horizontal')\n",
+ " #cb.ax.set_xticklabels([\"0\",\"1\"])\n",
+ " cb.ax.tick_params(labelsize=12)\n",
+ " cb.ax.set_xlabel('Norm. conductance', fontsize=11)\n",
+ " cb.ax.xaxis.set_label_position('top')\n",
+ "\n",
+ "\n",
+ " cbaxes = inset_axes(ax2, width=\"40%\", height=\"3%\", loc='lower center', borderpad=1.2)\n",
+ " cb = plt.colorbar(pc2,ticks = [], cax=cbaxes, orientation='horizontal')\n",
+ " #cb.ax.set_xticklabels([\"0\",\"1\"])\n",
+ "\n",
+ " cb.ax.tick_params(labelsize=12)\n",
+ " cb.ax.set_xlabel('Norm. gradient', fontsize=11, color=\"k\")\n",
+ " cb.ax.xaxis.set_label_position('top')\n",
+ " \n"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "071315e1",
+ "metadata": {},
+ "source": [
+ "### Fig 8: Tunnel coupling and sensor compensation"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "91187b14",
+ "metadata": {},
+ "source": [
+ "In the last example we show the effect of tunnel coupling on the charge stability diagram, manifesting itself as a level repulsin. It is controlled by the parameter tc in the device configuration file. Additionally, we show how the sensor compensation works."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 43,
+ "id": "0fe0e069",
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "The autoreload extension is already loaded. To reload it, use:\n",
+ " %reload_ext autoreload\n",
+ "v_offset found: [0.02796662 0.01679969 0.03875483 0.01674422 0.04986768 0.04964416]\n"
+ ]
+ }
+ ],
+ "source": [
+ "# Plot without sensor compensation\n",
+ "%load_ext autoreload\n",
+ "%autoreload 2\n",
+ "xtc, ytc, CSD_data, polytopestc, sensor_signaltc, _ = experiment.generate_CSD(\n",
+ " x_voltages = np.linspace(-0.004, 0.002, 100),\n",
+ " y_voltages = np.linspace(-0.003, 0.003, 100),\n",
+ " plane_axes = [[0,0,1,0,0,0],[0,0,0,1,0,0]],\n",
+ " target_state = [2,1,3,2,4,4], \n",
+ " target_transition = [0,0,1,-1,0,0],\n",
+ " compute_polytopes = True,\n",
+ " compensate_sensors = False,\n",
+ " use_virtual_gates = False,\n",
+ " use_sensor_signal=True\n",
+ " )"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 45,
+ "id": "9c85c6c4",
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "v_offset found: [0.02791077 0.01643804 0.02826617 0.02896927]\n"
+ ]
+ }
+ ],
+ "source": [
+ "# Plot with sensor compensation\n",
+ "xtcC, ytcC, CSD_data, polytopestcC, sensor_signaltcC, _ = experiment.generate_CSD(\n",
+ " x_voltages = np.linspace(-0.004, 0.002, 100),\n",
+ " y_voltages = np.linspace(-0.003, 0.003, 100),\n",
+ " plane_axes = [[0,0,1,0,0,0],[0,0,0,1,0,0]],\n",
+ " target_state = [2,1,3,2,4,4], \n",
+ " target_transition = [0,0,-1,1,0,0],\n",
+ " compute_polytopes = True,\n",
+ " compensate_sensors = True,\n",
+ " use_virtual_gates = False,\n",
+ " use_sensor_signal=True\n",
+ " )"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 47,
+ "id": "692be297",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "image/png": "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",
+ "text/plain": [
+ "<Figure size 1000x400 with 4 Axes>"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "\n",
+ "# Create a figure\n",
+ "fig = plt.figure(figsize=(10, 4))\n",
+ "\n",
+ "\n",
+ "# Define the grid\n",
+ "gs = gridspec.GridSpec(1, 2, width_ratios=[1.3, 1.3])\n",
+ "plt.subplots_adjust(wspace=0.3, top = 0.98, bottom = 0.16, left = 0.06, right = 0.99)\n",
+ "\n",
+ "#plot without sensor compensation\n",
+ "ax0 = plt.subplot(gs[0])\n",
+ "pc0 = ax0.pcolormesh(1e3*xtc,1e3*ytc,sensor_signaltc[:,:,0])\n",
+ "plot_polytopes(ax0, polytopestc, axes_rescale=1e3, fontsize = 12) \n",
+ "ax0.set_xlim(xtc[0]*1e3,xtc[-1]*1e3)\n",
+ "ax0.set_ylim(ytc[0]*1e3,ytc[-1]*1e3)\n",
+ "ax0.set_xlabel('Voltage $v_2$ (mV)')\n",
+ "ax0.set_ylabel('Voltage $v_3$ (mV)')\n",
+ "ax0.set_aspect('equal')\n",
+ "\n",
+ "\n",
+ "cbaxes = inset_axes(ax0, width=\"40%\", height=\"3%\", loc='upper left', borderpad=0.8)\n",
+ "cb = plt.colorbar(pc0,ticks = [0,1], cax=cbaxes, orientation='horizontal')\n",
+ "cb.ax.tick_params(labelsize=12)\n",
+ "cb.ax.set_xlabel('Norm. conductance', fontsize=10)\n",
+ "cb.ax.xaxis.set_label_position('top')\n",
+ "cb.ax.set_xticklabels([\"0\",\"1\"])\n",
+ "\n",
+ "#plot with sensor compensation\n",
+ "ax1 = plt.subplot(gs[1])\n",
+ "pc1 = ax1.pcolormesh(1e3*xtcC,1e3*ytcC,sensor_signaltcC[:,:,0])\n",
+ "plot_polytopes(ax1, polytopestcC, axes_rescale=1e3, fontsize = 12)\n",
+ "ax1.set_xlim(xtcC[0]*1e3,xtcC[-1]*1e3)\n",
+ "ax1.set_ylim(ytcC[0]*1e3,ytcC[-1]*1e3)\n",
+ "ax1.set_xlabel('Voltage $v_2$ (mV)')\n",
+ "ax1.set_ylabel('Voltage $v_3$ (mV)')\n",
+ "ax1.set_aspect('equal')\n",
+ "\n",
+ "\n",
+ "cbaxes = inset_axes(ax1, width=\"40%\", height=\"3%\", loc='upper left', borderpad=0.8)\n",
+ "cb = plt.colorbar(pc1,ticks = [0,1], cax=cbaxes, orientation='horizontal')\n",
+ "cb.ax.tick_params(labelsize=12)\n",
+ "cb.ax.set_xlabel('Norm. conductance', fontsize=10, color = \"w\")\n",
+ "cb.ax.xaxis.set_label_position('top')\n",
+ "cb.ax.set_xticklabels([\"0\",\"1\"], color=\"w\")\n",
+ "\n",
+ "\n",
+ "plt.savefig(\"figures/fig8.png\")\n"
+ ]
+ }
+ ],
+ "metadata": {
+ "kernelspec": {
+ "display_name": "Python [conda env:devel]",
+ "language": "python",
+ "name": "conda-env-devel-py"
+ },
+ "language_info": {
+ "codemirror_mode": {
+ "name": "ipython",
+ "version": 3
+ },
+ "file_extension": ".py",
+ "mimetype": "text/x-python",
+ "name": "python",
+ "nbconvert_exporter": "python",
+ "pygments_lexer": "ipython3",
+ "version": "3.11.7"
+ }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/examples/insitu_reflectometry_beta.ipynb b/QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/examples/insitu_reflectometry_beta.ipynb
new file mode 100644
index 0000000..c1b548d
--- /dev/null
+++ b/QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/examples/insitu_reflectometry_beta.ipynb
@@ -0,0 +1,298 @@
+{
+ "cells": [
+ {
+ "cell_type": "markdown",
+ "id": "e27c8b66",
+ "metadata": {},
+ "source": [
+ "## In-situ reflectometry notebook"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "76a8c9be",
+ "metadata": {},
+ "source": [
+ " In order to make the code more versatile and useful for a wider range of applications, we have implemented the vannila version of in-situ reflectometry and provided its description in the repository, providing a separate example file. For the time being we have not included description of this mechanism in the manuscript, as the corresponding user interface is likely to change, once barrier gates are added (work in progress). Nevertheless, below we provide a brief description of the implemented feature from the corresponding notebook example ```insitu_reflectometry.ipynb```:\n",
+ "\n",
+ "Following Vigneau et al. (2023), we have implemented the adiabatic version of the quantum capacitance sensing. We use the fact that capacitance is proportional to $\\partial P_\\mathbf{n}/\\partial \\epsilon$, where $P_\\mathbf{n}$ is the probability of finding charge occupation $\\mathbf{n}$ that minimizes electrostatic energy $E_\\mathbf{n}$ at given voltage $\\mathbf{v}$, and $\\epsilon_{\\mathbf{n}\\mathbf{m}}$ is the energy detuning to the next energy state with charge configuration $\\mathbf{m}$. The insitu signal is activated by adding the insitu_axis argument (default: None):\n",
+ "```python\n",
+ "\n",
+ "model = CapacitanceModel(\n",
+ " ...\n",
+ " insitu_axis=[1,0],\n",
+ " plane_axes=[[1,0],[0,1]]\n",
+ " ...\n",
+ ")\n",
+ "```\n",
+ "where by defining the vector ```insitu_axis``` we select which gate is to be modulated. In the example above, the oscilattory signal is coupled to the first axis, which according to ```insitu_axis``` is corresponds to the first plunger gate $v_0$. We compute the relative signal strenght using finite difference approximation to the derrivative:\n",
+ "$$\n",
+ "S(\\mathbf v) \\propto \\frac{\\partial P_\\mathbf{n}}{\\partial \\epsilon_{\\mathbf{n}\\mathbf{m}}} \\approx \\frac{P_\\mathbf{n}(\\mathbf v + \\delta \\mathbf v) - P_\\mathbf{n}(\\mathbf v)}{\\epsilon_{\\mathbf{n}\\mathbf{m}}(\\mathbf{v} + \\delta \\mathbf v)- \\epsilon_{\\mathbf{n}\\mathbf{m}}(\\mathbf{v})}\n",
+ "$$\n",
+ "where $\\delta \\mathbf v = \\delta v$ (```insitu_axis```$\\cdot$ ```plane_axes```), $e\\alpha$ is a constant irrelevant for normalized signal, and we keep $\\delta v = 0.01$mV is sufficiently small and fixed. \n",
+ "\n",
+ "To compute the signal $S(\\mathbf{v})$ at every point in voltage space we contruct two-level Hamiltonian, using the subspace of two lowest lying energy states,\n",
+ "$$\n",
+ "H_{2\\text{-level}}(\\mathbf{v}) = \\begin{pmatrix}\n",
+ "E(\\mathbf{n},\\mathbf{v}) & t_{\\mathbf{n}\\mathbf{m}}(\\mathbf{v}) \\\\\n",
+ "t_{\\mathbf{n}\\mathbf{m}}(\\mathbf{v}) & E(\\mathbf{m},\\mathbf{v})\n",
+ "\\end{pmatrix}\n",
+ "$$\n",
+ "where $E(\\mathbf{n},\\mathbf{v})$ and $E(\\mathbf{m},\\mathbf{v})$ are the ground and excited state electrostatic energies corresponding to charge occupation $\\mathbf{n}$ and $\\mathbf{m}$, and $t_{\\mathbf{n}\\mathbf{m}}$ is the tunnel coupling between them, which is either constant or zero if two states are not coupled. Using the Hamiltonian one can compute relevant quantities, such as the energy detuning $\\epsilon_{\\mathbf{n}\\mathbf{m}}(\\mathbf{v})=E(\\mathbf{n},\\mathbf{v})-E(\\mathbf{m},\\mathbf{v})$ and the probability of being in on of the charge configurations \n",
+ "$$\n",
+ "P_\\mathbf{n}(\\mathbf{v}) = \\frac{1}{2} \\left(1 - \\frac{\\epsilon_{\\mathbf{n}\\mathbf{m}}(\\mathbf{v})}{\\sqrt{\\epsilon_{\\mathbf{n}\\mathbf{m}}(\\mathbf{v})^2 + 4t_{\\mathbf{n}\\mathbf{m}}^2(\\mathbf{v})}}\\right)\n",
+ "$$\n",
+ "Intuitively we assume the signal is proportional to the change in quantum capacitance, caused by motion of the electron between the dots induced by the modulation of the gate voltages. At this point, we have not included the other effects contributing to in-situ signal including sisyphus resistance and tunneling capacitance, however their contribution is expected to be relatively weaker [Vigneau et al. (2023)].\n",
+ "\n",
+ "Below we are attaching the notebook reconstructing the in-situ signal for three dot system.\n"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 1,
+ "id": "112fc52b",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "# add Code folder\n",
+ "import sys\n",
+ "sys.path.append('../src')\n",
+ "\n",
+ "\n",
+ "# import main class and plotting function\n",
+ "from qdarts.experiment import Experiment\n",
+ "from qdarts.plotting import plot_polytopes\n",
+ "\n",
+ "#reload file\n",
+ "\n",
+ "\n",
+ "# import standard libraries\n",
+ "import numpy as np\n",
+ "import matplotlib.pyplot as plt\n",
+ "import matplotlib.gridspec as gridspec"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 2,
+ "id": "e5d1236e",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "# Define the system\n",
+ "\n",
+ "#All capacitances are given in aF\n",
+ "N = 3 #number of dots \n",
+ "C_DD=20* np.eye((N))/2 #The self-capacitance of each dot, NOTE: factor of 2 due to symmetrization\n",
+ "C_DD[0,1] = 4 \n",
+ "C_DD[0,2] = 2 \n",
+ "C_DD[1,2] = 3\n",
+ "C_DD = C_DD + C_DD.T #symmetrize\n",
+ "\n",
+ "C_DG=4*np.eye(N) #dot-to-gate capacitances \n",
+ "C_DG[0,1] = 0.7\n",
+ "C_DG[1,2] = 0.6\n",
+ "C_DG[0,2] = 0.5\n",
+ "\n",
+ "\n",
+ "# NOTE: we use the convention that tc is the energy gap at avoided crossing H = tc/2 sx\n",
+ "tunnel_couplings = np.zeros((N,N))\n",
+ "tunnel_couplings[0,1] = 50*1e-6\n",
+ "tunnel_couplings[1,2] = 50*1e-6\n",
+ "tunnel_couplings[0,2] = 50*1e-6\n",
+ "tunnel_couplings = tunnel_couplings + tunnel_couplings.T"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 3,
+ "id": "cdce310b",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "capacitance_config = {\n",
+ " \"C_DD\" : C_DD, #dot-dot capacitance matrix\n",
+ " \"C_Dg\" : C_DG, #dot-gate capacitance matrix\n",
+ " \"ks\" : None #distortion of Coulomb peaks. NOTE: If None -> constant size of Coublomb peak \n",
+ "}\n",
+ "\n",
+ "tunneling_config = {\n",
+ " \"tunnel_couplings\": tunnel_couplings, #tunnel coupling matrix\n",
+ " \"temperature\": 0.1, #temperature in Kelvin\n",
+ " \"energy_range_factor\": 5, #energy scale for the Hamiltonian generation. NOTE: Smaller -> faster but less accurate computation \n",
+ "}\n",
+ "sensor_config = {\n",
+ " \"sensor_dot_indices\": [], #Indices of the sensor dots\n",
+ " \"sensor_detunings\": [], #Detuning of the sensor dots\n",
+ " \"noise_amplitude\": {\"fast_noise\": 0.8*1e-6, \"slow_noise\": 1e-8}, #Noise amplitude for the sensor dots in eV\n",
+ " \"peak_width_multiplier\": 15, #Width of the sensor peaks in the units of thermal broadening m *kB*T/0.61.\n",
+ "}\n"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 4,
+ "id": "87cfa416",
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "EXPERIMENT INITIALIZED\n",
+ "-----------------------\n",
+ "\n",
+ " Capacitance model deployed with the following parameters:\n",
+ " Dot-dot capacitances: \n",
+ " [[20. 4. 2.]\n",
+ " [ 4. 20. 3.]\n",
+ " [ 2. 3. 20.]]\n",
+ " Dot-gate capacitances: \n",
+ " [[4. 0.7 0.5]\n",
+ " [0. 4. 0.6]\n",
+ " [0. 0. 4. ]]\n",
+ " Size of Coulomb peaks V[n] is constant\n",
+ " \n",
+ "\n",
+ " Sensor model deployed with the following parameters: \n",
+ " Sensor dot indices: []\n",
+ " Sensor detunings: [] meV\n",
+ " Coulomb peak width: 0.41 meV\n",
+ " Slow noise amplitude: 0.01 ueV\n",
+ " Fast noise amplitude: 0.8 ueV\n",
+ " Signal noise scale: 0.0\n",
+ " \n",
+ "\n",
+ " Tunneling model deployed with the following parameters:\n",
+ " Tunneling matrix:\n",
+ " [[0.e+00 5.e-05 5.e-05]\n",
+ " [5.e-05 0.e+00 5.e-05]\n",
+ " [5.e-05 5.e-05 0.e+00]]\n",
+ " Temperature: 0.1 K\n",
+ " Energy range factor: 5\n",
+ " \n"
+ ]
+ }
+ ],
+ "source": [
+ "experiment = Experiment(capacitance_config, tunneling_config, sensor_config)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 5,
+ "id": "6f90402e",
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "v_offset found: [ 0.13350857 0.27012592 -0.82873128]\n"
+ ]
+ }
+ ],
+ "source": [
+ "#Show the same transition with gate virtualisation\n",
+ "xV, yV, csd_dataV, polytopesV, sensors ,_ = experiment.generate_CSD(\n",
+ " x_voltages = np.linspace(-0.02, 0.05, 200), #V\n",
+ " y_voltages = np.linspace(-0.02, 0.05, 200), #V\n",
+ " plane_axes = [[1,0,0],[0,0,1]], #we use v0, v1\n",
+ " target_transition = [-1,1,0], #we target at the [1,1,0] -> [0,2,0] transition\n",
+ " target_state = [1,1,0],\n",
+ " compute_polytopes = True, \n",
+ " use_virtual_gates= False,\n",
+ " use_sensor_signal = True, #this has to be active to allow for insitu_axis\n",
+ " insitu_axis = [1,0]) #in_situ reflectometry is activated when insitu_axis is not None it is a vector in the basis of plane_axes\n"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 15,
+ "id": "32fac162",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "array([], shape=(200, 200, 0), dtype=float64)"
+ ]
+ },
+ "execution_count": 15,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "sensors"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 6,
+ "id": "7199e085",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "Text(0, 0.5, '$v_1$ (V)')"
+ ]
+ },
+ "execution_count": 6,
+ "metadata": {},
+ "output_type": "execute_result"
+ },
+ {
+ "data": {
+ "image/png": "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",
+ "text/plain": [
+ "<Figure size 800x500 with 1 Axes>"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "#plot\n",
+ "import matplotlib.pyplot as plt\n",
+ "\n",
+ "fig,ax = plt.subplots(1,1,figsize=(8,5))\n",
+ "plt.pcolormesh(xV, yV, sensors[:,:,0], cmap = \"seismic\", vmin=-0.5, vmax=0.5) \n",
+ "plot_polytopes(ax, polytopesV, axes_rescale=1, fontsize = 12, alpha = 0.2, color=\"k\")\n",
+ "plt.xlabel(\"$v_0$ (V)\")\n",
+ "plt.ylabel(\"$v_1$ (V)\")\n"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "458da244",
+ "metadata": {},
+ "outputs": [],
+ "source": []
+ }
+ ],
+ "metadata": {
+ "kernelspec": {
+ "display_name": "base",
+ "language": "python",
+ "name": "python3"
+ },
+ "language_info": {
+ "codemirror_mode": {
+ "name": "ipython",
+ "version": 3
+ },
+ "file_extension": ".py",
+ "mimetype": "text/x-python",
+ "name": "python",
+ "nbconvert_exporter": "python",
+ "pygments_lexer": "ipython3",
+ "version": "3.9.19"
+ }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/pyproject.toml b/QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/pyproject.toml
new file mode 100644
index 0000000..bdcc111
--- /dev/null
+++ b/QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/pyproject.toml
@@ -0,0 +1,29 @@
+[project]
+name = "QDarts"
+version = "1.0.3"
+authors = [
+ { name="Jan Krzywda", email="j.a.krzywda@liacs.leidenuniv.nl" },
+ { name="Evert van Nieuwenburg", email="e.p.l.van.nieuwenburg@liacs.leidenuniv.nl" },
+ { name="Oswin Krause", email="oswin.krause@di.ku.dk" },
+]
+description = "A package for simulating realistic quantum dot arrays and their charge transitions."
+readme = "README.md"
+requires-python = ">=3.8"
+classifiers = [
+ "Programming Language :: Python :: 3",
+ "License :: OSI Approved :: MIT License",
+ "Operating System :: OS Independent",
+]
+dependencies = [
+ 'cvxpy >= 1.5',
+ 'matplotlib >= 3.8',
+ 'numpy < 2.0',
+ 'scipy <=1.12.0,>= 1.6.0'
+]
+[project.urls]
+Homepage = "https://github.com/condensedAI/QDarts"
+Issues = "https://github.com/condensedAI/QDarts"
+
+[build-system]
+requires = ["setuptools>=61.0"]
+build-backend = "setuptools.build_meta"
diff --git a/QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/sphinx/_static/api_csd_grid.png b/QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/sphinx/_static/api_csd_grid.png
new file mode 100644
index 0000000000000000000000000000000000000000..334eece064c5b60afc19c2175e406edb91e59151
GIT binary patch
literal 46721
zcmZs@WmsHIur&%v2yVeWxVr{T2<}dBcXt_Fg9j&gaCdiicN^T@UGC;R=iFc4k9ioF
zp6=e=)zzz3ts+EDMidba7Y+gf0#RH{NC5)kgAxP;WERY4;4j3@zbb$q-yDU1IV##1
zJG$uE8$n3xIoev<I9i(Ne|0vpcQCWDW@Y%sz)bhm)X~w_ft!)h>i=)RU}JB>IE`~k
z40Hl(E2icE0fDUd{(>wJ$Tx$4s67=I`k~~SdJJ}PRWe%Yzc`bkh-Dd+awo@75To*i
z_=ol5yCux+D#*pkV%|y3NmYxsys6Bn^w%E>iL=)FiJyY*jIkq9c`e?b{Gva>kbR3C
zd1)-ujA6}xmJw?39CJ7o-Ld7uhanC?5&T`9r^4-nA_zk)WI_oQ|Nf@uTa2H?`-hwO
z;y=iNHZXRPIhkL8PXf3^735&wzm`f$UGV-1@mMsv()%YUdtz`j|8?j<_J7?R{_#6}
zxm%;;;J}oXm1SXJ`PJ_ALVcIPZ18z-aM0D=eX7~TW_L7Ye)}rJ>oMeFs~-&;`?o}{
z{?S}1Wm>l(i`|;%9V+mrs3>H`e3{&eiVAug$@jrN?ECl~HlMX^O^Ooj1Y&9HUhR%v
zpDZWBqEW~xDa{<e7OR%;CR>zk)Gb>Z3@6Y_rStwBjHRr0*c<Ef3>P8o4o2Rqo!7Rw
zXo}*!gsC<eH|`6^q0^`fZ)xGpllnWgdq?^HbpOoHdZSrcSg^Tlzn-<;5kfdOrxg@X
z5xTBJrn?^&#@@Cc78Nt$MvVMr&9_@#@AMa!lr(s}K9Ig09U3BGV2GsGsQZ(UFxSvp
zRTZ<ouG{wdXu;6_Y!AW0%6hO^O=&S#qIbUDd19OYzJ#{Q$+x_Xz5067dD6Tu*V7Tp
zGv@4DeGvwu$?T(q)yAW^gr3)v6w4G+Ngcq5<M&M|99CIvZRvJfeeBkfGBOn0+)cfH
zLzWx{94UD1^~)!5@$u~ZD(LT>Upa8$E2*lYp`!Y#gY6W1muoX=sHr=Rt5I=rmkdFs
zrc{6b{v9P$l#`n{euaX9GVuWW`F*HSr}y&mGVw?^o6ftKl4MM~V1HkijTU=*`~A66
zjbN>EE%>6b?SuRbYZew2H8pWZM>b>z?5N-|txm(N;=|qe9%;LAMTO?yU~*Y10#O*d
z5tt1Af)B4@+18j!?FEkblM>48&iaog8%IaW|K_dc{b;DDU^qGJV^_;)>FCJl=t>q1
zy1Kg5YrQ4+Dt^%^DJikx<Z{ot@$&MXpPzHNHIES>6HylkEz|CzsGren-X#7p@WSD7
zk`VnO2;n}SR^U;x&VvD64h)`}8<}1<U51QRt4@D#a6qSCQ(%_@wl<l}5=Ovb$yqcA
zLcp0a^!9;*$E<1ac9@!;wsUc@u}^OW-NmG(fs3wSCRcA0UkKtQe(JARONgQhKKo{$
zf|Sf{&XaN+(I>@go=Dq8i9F*{teZk0KYnI1o%p)y^<)JYT>XkYJOt;eD`|9ev{VWQ
zqE9fP`)~Pdk&ANgmoRw7mOnP_F9{KNoR@$>v!_>=l!PB2TV7sX`UL62;)>(}3&4bp
zu;RRI#rwFQ{pr)E%=sg?bzf*~7Q^2y8<eRM;$Z!eIg&092IA^#sE#5>GU89)N1wPH
zU9v74k%Qe<5ALuS%E9^VI!?37&sQ05+Yfsgl=Sowr5g1t-mlMnA$yC9i`#p9oTmbg
z`*QDg%Kx}e`gnUXj4bf{Zfys%#j0EUfDvZtw0mi~ZUjPTdfv=lAI+DGYXsJ>x`%}^
zH2p4A%xAIR76WE`4_L&~lXIYHJozm3$nYCdtwfm09gSp>Vq7Fyz_5n7LgkE-Y@i#O
zse8rJmn=uJN!S_?QPEgYQ4ySfXUA4CW862TEHEGV3ZBiJzWlf;nYpbwK9V#5!lSko
z2Zi6?FIg=Bmq?X6lIy4PEXOk%vb>sFh<5o|#nF(ummrt#j<7(MGKh)AwP;E{0Ht3^
z!&%OTkz9yV`+zD7?GNDJC@YGtvFJF^y8RgyxkFJlkt0<+!%~*uc^Q?tLv8H=Kes_P
zmoU~jEG^nFuKd2)__4|l#7Myy@#B2JuQD=#zf0}O>awX=qIbOWmOG#l{4Js~B#qZe
zk2J&bO{+%gy+Hs0Ps%V>wi7(bfQ8?b9WWJqD(}(_tTtI{JRvT2z>C_FwC}!PHFrx0
z`p^lJ22>YR9)AWg(~R4_5At6hzcJu@`_|59gf`EJrA-5EF(a4C<qLT`C0BbeMq}Tf
zrMmuDxZ{WZy2F3-G<h!2vu`?;$&H1fBnO<aOrLpqR*g0J>M8ib?yS%epZF7m3VuTE
zIwt&~ZEiOV<-5n0F&1}%%OHHf_knriH2j83oZ6uf8;VG710h!e3eBa6?+OX1HoNPM
z?rpqqK;Es~j!L%F_;rpk9O}(wrc=5U8{MfW&W_NzP8iT@y=!{HuM$79Sz#xdvI{pQ
zG6Cj{fGIx}a(AK}$i}m#smH8NE4Cfy`r`3~dN!RX7iHSQ#{cV>0#17IxZu}dU)5Tr
z0nb4LYNsMLk@L@3tGA(+*wDvKj`4+rqEaKn`BUPhW=hB<+wTe4sDfsFk5VIbf_^Py
zz((2%D#$r~G1eexE}Dao(;ebIa7at>U2bld_#;ZDd}DN6y7XISOVrQC8yK6F@lBwF
z)~Xp}8v3)0q3J}gm2;b-eD>~Y0H<$I#!qW7q<J{TKKNtEr3{HmqG0lyX&cw`7YdM7
ztO2~V=z?Y&wvW;a3hzn_H<^RR{lh*qZ`?gYqR8q`l|ho+Ef`{-Y-OD(()Ej=&n<H{
zfc2*SMpsG`DlJXUh-zEj+<R{c%nI6~?m~HPt<dEcgxLAXxD&Itk-~kcA&!f@DfbkG
zTd34x30=Cl7nt}`Di|AsH=gZ{*~<QOcYBUdSNLMwP^G+ow}QhO`R4a-Ujx?fOBqA`
z`_hpS&+<XLry|bEa(6TcJMmU-<sZuCgSj1X!l`9gjYhsR%aZZ$Cvmv!G0ycZID~lx
zDOW)*1kDgh84KljG9o<)!4e5ifXK7GGU>yDPU~O#oiO?0l_kdwu=Ec6L+QFhooZQT
zPih!}XiD1C`0>JDuX8(R<x*<}DM<9>>W9{KcnJ3=M9~P1<{i1Nl9dApGU(P4+b_gI
zA9;+NEY7Ede7PkKn7Ts5e#}DU?BhLR7~!!NS{hqV+=gO6kUb#n+e1Nr2Ob)t#vHkY
z-92!+rZn5>iK=!RZJYfw`>I4gsvrdP(Cg$m{7dZ6XH*$sxFUwHE3`;HElnRsy}Ue{
zgHy143AN6g*0$~pYv&bBidDFzms3)nm@_G;&!KX&f$dR0`Y}@Hp+uM+A4&4QH(EX!
z9Oyowk1@sqoXbZ{i{TLWM9cNGIE0Qk5TIht^lPySS}xs{&_xxog7LtDNgCingWOi~
z^p(hkDnEMfBmiA0pLya8C&rUij^`q3=qH$IvT4=Y+>U6tay;^ESvefGG1OFx1u)Qd
zERRCRRA*M&Gm9A-7haFN${cQCcSYEL6{$sUo3=CAQ{W;;^bN9Y`u1sTqG-QPrcc4$
zKO$=VR+{{e3pM-4isB=LL*+!0*Gxr%HABF9TYK4O^2URz+zQQ$@{NA*rS;5T*FAQ3
z-b4?$1YtV#w0(yR5DE-B({mm1|1s?mINN<e!+cG7aLb4`S_w>%_!(ovohS_Mucp?y
znorlUw^*S?fKLvWF_5FnUet#6X<n-C^{naV=V`MsNh~57+P1#?crJMwd|aenYMXUi
zUt{|D)Ev1lKr`179k_mGF9r`}sZ)M(LE-%4j)0RSD3<WnQ$ApXFrAp{x8dSL^bff{
z{87RX&y}Gq1=Aeu-uzczk^#E7zOvDSIX7ViY3P?wj;hP^ihuIU%FmO){FE}gwJ`=^
zfh5{2q91{wYK_y2ny0wZjPnU&Mwa`v2#8Gq<icyzz@F%hf6!o{iP|_>;1Y4fRFF&a
z%|N=bx_r5d```d6m#uI3iv*2S;Q$LoI7t;hS{sam!vYmHDk1C%sn(ZfS^P`H*~++i
zd$^oOs7Mb6RhuvQ<@w&Zx-{~OgLbpwJ{8}Me*?*(yi&p6v^#H08l6nX9HiPNLyo;b
zZDElPvVz1N(*U_Cz<XN9XGCM)(>>MJ+twViihv}{c8YQ`xka7v>F5`Rr~FzYmLDHo
zwl)j+5fH-3=K#z(9)bXu`Wvj5UDOtLywrMJ^h?<I=JWBw__yx#BByZp=19PJKHq(%
zdAqLDA!<kc-mPIfTIw>d2Ar7np@Q~Il}2Wsv$us`x6M=0+$%9zHaMuff0_TOR-Nt(
z#7Ay9^0G%GoYXZ8*8SYE0q!%sSSw#`(n-*Dr)o-Qc^wvEG75ysPI!+ct>u*_{}TE$
zA9VJ7-sVwsXd=buc!|-n&3<aOG4rkB!U<3g>OT7i@A1z4l`T8PC*9h4IfF%MuhDUI
zToX=^p~AYP(4#ikaCx&NhhuEM7Qgg0h7eK~rL;XHTR8*RB`PtvBIk<IXR76)s1Ho!
zUU+~%e|(7e7i@#uNeJGz!j=J^j|(3ud``mt2&p39oR5b_HFZ|#j>G{8L^D4*{ikz#
z;OYKwfUTrIG5z8|R^aWbg2$4M@%19dpg%yf*X^IGLxVA82BFvKiuE%>&!Ivi{i_WG
zZ~aykD?dYLy@0Byz@(hij*LlmScKHeWM5Sv0&LSC6tFNl&K?y(KegJ4NT`MP$IK=B
z%K=-7^LATR7frMUuJ$LGTf%wb`O7IG=C3V!;&JX8-;@*5ew`@0nq|S9<BIsqGYLAy
zF34YhMLJBu*Dzc1Q=gqkCS5U+2;M${ldwoc-R48Gk#<@CCGfpoY^GB(`Pih~3qIVN
z>U0(|lOSZs;8Vlh=X%=?q&g3#@*epoor>Cv8B}RFQ|N5_GpN(T^*OnfW!l#dd3B7Z
zcCr=?0w*XFJ^n+``0R4+c%oogUGugE)dL;D9Z%_4t6RSwVEyZIGR;jW39(MOZ=qh*
zZ5TohhYKczVi5k3J?6#c5Ow56-^pp&=<6t>4#VGFNRDyTm?K7!|14D=mJNPnA@|a#
zo_`>}`{~D*y}yytM=DNa-_wAX*7v=H0i#x8bfrZ$S*u^x>9{pu?$!qGE_`oufCsM~
zc_IjsiAnc^_#<S*ay$PeF8kc2LsR<LXb1bGY?gepq8T-@M50t2L*t^S_wZZz62rpE
zRg~BGTlf!OwEc~@26QF*g8Ibj{Otow0Y(mn%&}zQS~t$w1g-Gj+RJ5bMI#!_>bHtk
zi_*15oP7STk?kfTJX)ha)WEn^#jiirz%=*WR1F#Z-yZ{BiGHl^p&B&AmJHpc;H&AT
ziu>A8e1%fBIA-*Y_<Ck{4deQy=+yM`Z@2X)ho5#)wPtqZm!7!s^SNC392KX~(<E|k
z{vaErCcI7yn#j<njwxqGaDfL9NiQ<@@>$Cle8k%YaUbu<wWA#?uVV%d8DP^y>2XP6
zZ5Fsfyeh5m&}sbGnf$X@?C`7|=O+QVlc3Ho&=53^Tn5>pSgNOQ$k-Q1IXx^8^XfZ^
z028_q9cPzhh1foLeVX3$^r_xeCc8A|0Q$9SV7)L0JLpddkx(mm#5cLLgeHBEcq`I4
zD(pNI+VrN!8kv(Zt3}oeU3cQM-b8v5ez`pR3q9t>EP;=-k%<?dOD(2LZQaH5OYL55
z!&yw1O|!=jqu!y&(D>^cJYk<bm?0_JxX76U!-Ut`pXDw&ms?29DrxM&rGcEBPilc~
z9~a|^(9YhN^!O9gmE=OI4XSo^s|d+EEU1(U9}G~#vhhWY;B6q6Xe(9U@D9Boo`?w9
zi(7uYaVlwJ`L1bjg^ojuDyJAa&DcO4dEwtQcQirAZ=4m>oT#qwj9A!W3qVRvZ?10e
zqr|_77VwUD|7%7I_kL_OeZ&bqF!>HgGYLo09RK&5#^1lywRXz`e?Cz-9SOVZBB0{Z
zx1FYs5Q2zQp3>qp;09Sv^+COGRpu`2ga&o<m6_+>bX3o4I9l`4xx^}o64ob>&PrvL
z%DZ%1Wh#7CJY~VMI&{uxlA&WB@wWiftZq_K<p4bC{t>5NPlt(G3eS%Nt}L{|I<}UP
z^}+-9VL9ppv7LMX)cAm(R0>|U!z1mK-bw?J&Fz$4F?dC?6`r=vvBAz!Tj4}bD|jJw
z`1m`V>~Cr>pYi*m<R19_hAdbj1+bLT{-7(#n7d7SC19OUb`3{CZ4vbu7E_kj`Pteq
zKG**H1adaeUH^29#G`zZyFGJiWU@oUQaqP&A#`VYX7~<0OS&6Ga>+&JW0lE)*g?f{
zfE~?q8bIPu9m}KjKg$+TfybKNZM}EDHZ<K<fV0?BkYmL&@O)|!r)ffBy!!<)Qa83H
z*!y>T)<asbL$Sb#bDgW(?{G#+mj~f+%b~dG>rr};w{!GUtY1;=xuXN+YW+s^8V?AQ
z^===DLNu3|E{6wv(|OH;kX^rKi;o0tWK7yjd!-haF_@ZqGP8(Bi1+IDI;*!ehD7jC
z$xYYNa&$O-wh$!9XRv>^c1hYbR+O>kcJF%q>3cCOd7mv0bI@|-l2x4g(4vk*5@PQ1
zFV&_%9#Tx2R244x+M!sgH9QC^j;2+Os*}<hYuL_JwC}MnNL%01r9WCnBevJLOm5E8
z=WS$YZNKJZ+S|K1VdT7C>Q`s9*1N!-omjbs^^AkVB(t7axY<I;eo}S+bY~)A^Tm49
z7OI^c@hu{eI7+N;^pFpZK>Fs7(JN4ybx)aVP*W)1smjE0jeBTGk-l(C6S%9e=_HQ;
zk1NLb^9!mrF#<e($9bkNa9x$$N|+zs$*VN`JtwREI);*1^OF-(Sci9Q6xFN4j8T5@
zmgqmQ2WW)sf0>t_Uy9NN>SNusA|(iXy5*sFcdXDR3SF}<+bTB_^UCB`B!A2bE6vPb
z^mf*I*i~#;k(Vw-z>|QOIZE`hK<eMo&1Y}I;ael!g9E=fFaUu>Wv&No?=F7ebQr6X
zcn=r>23r<DjL`MZ5x5rg5W(T!@LAID?+P5QjD^m>KR(@2^m2X@h=RNaA(5=U$sZ%Z
zJIz_rNT*P-jpcT=XcsP{5>U<AGH&oIRxC;%(|KVRw+bGJX+<t3AlH!=)cmwf9Uihy
z7E)@Hg;+0mfH=;zikomNKw!+8656Q1*ev*4=9tPs45f@^RJnXlZi3goo$5MrXGp{e
zga(v-&6NMrnT1??SxN3$N^aeU=!Nl_PmMKp?5o0gFr*mN?L9|W$qu09EQfadUyv0I
zth@?|A+k#o9-xMkbSlC@B)GU*pIsxr3UQ+Pi+Z<!4bCSiPzu{|gS#UaRiuC`fxK3d
zs^o7(+EQc_{Ul`8H7DS?P&k7B67=3Fnyr>N<}eKFJ;T&)oN={`*}MC5qsPBFDwz}E
z=LPB>`;mq;f#lt!J2#j%3S43EF(fF>(G=tw|IF7d`xy1NeVs+=%$@Ya!A6%1X9&3V
zf%*I?J!(`hzo0DnWJmOY-UTb{lC_b{D=ceK>n|=lXK$-;i!2+6=I-jbjMFzEtWe;I
z=`6}&0F&U!PcG`a$S0GD`Ep8d3n|Pcu5`s6cFaeetTAJf@-mc&6HYjDV|fd{iM%^9
zZW+$CBXJm4+~)4Cu`Fn+;#dy6lcG~-{Kq|Dveqw^hhLQ-GqUZEg1TE;{w?gAx7hqR
zd168e#u0t+lv{HO1yL7hE|d-NI-hV=*6HLV`VLOMU=vRHyRPZ>iRLg7v(#2*gVGOB
z{wg0Ws#G4Aa5sg`O&9UGecf2YUh!8`tMc_ed#V{7(=uh)3C_N{-`H<4n4kKCI+5`M
z(#-KLf_RJ)j&oM4=MfwTmX8`tmW_9#74BQ3F4Xu?Q-)Kr?;71UAA^05?;IRRAdD=h
zUN3bZ#?Yy!9x&vfaD=1)oe6jUA)bOT*bO7{67=9uJuEZ+^m*nn-;Rq8ag>){tGFT2
zPl9czw0QfaRnpD-Od(S*>#0}X6Nex{jOgv_7mvs2{pE}>($g->^4y8I(YC`;OKKgd
z+FGf_bFDw+6h2RAt9`?x!D?>s4{Oo4X__{b8fx-Y=@{gcyGneh8d3$P`T*+PI3bh-
z-T{nS=Y}mn9p(2`MO8KJpwEnS=`&i-dt^D0c$5QyWS{`LA`nS$a~J9O&!H>Pcq_f?
zWKLZJ(N;wEvvtRm^#%HdCxQ8kLw{)DQ)i3PfshqI98G40K61D5)+8_@ml{btbFi6;
zF(Z)AG6h(#!V0-jqGlfrHcVImi~tq;o?V489zY=t3*9-OAEWky`Bpo$a*ecKz3<ne
zr9-z1>W%?`nl;=eaw3~Fp8Lr?qDM6)yxrt8q_+RT=^K}Ga0s^r5=Pz)I_{qHpc^-z
ze;(>7Yv6NohD>9Pv<B=|V|ZMqx10&zP;$1x_<aLR2CW#}AAJet+Yc2xJ`}ieY3@4l
z-rWOnpv_ACLxzqORBE2c`PqUSM#lqvI3O=zvfq;&5a01^pu+^*1hFKbX@RfFFlVM+
zt((|{yno%BBUYB+IN}NQPA3V34ozs{TCOGwMD1*%pyi5{S{m;R<`Sqmy-N?Ci?^zL
zgRGy;XRfbg^=x&yL)z>DTzjUaGsHMwZWaifhv?(+OTKmWRh^VDfO|^yu6WqICG`>S
zzU=cI=A3v6^7nWhGfM*a@M%c<ahed(#`>Fj<E>HVJeB^-snxUg-s(pm0K6aMwU^mF
z<vkZC<L7gS9X*)Fio<!}#7jt*k_V%JKM6XHx=f$_&YGB|V`oQ~laJSlMY%^;@vyTn
zGl~DFHx>t)s_gf0amee98#<2)3IRI_)V2T%dD(<eyTOiMm(3NbF}XZ`B%$<()$G9x
z1&}HZHAVYhi$jq(yfXA*_F@Y74L|jwouGBZ?R!Z@97KWbKF;14ZO@z-sP@u0tCsdN
zIM~We^)tm3$|LK$EVy~?r5u;?=Q!plRvDNmKFDyyXSlMmt*|CVcj8<#Uz1Jor20a7
z;-Dw>@$p%A>=tyIeiH+rFI;$aLA5b;%<?cFoWJOj__8OT0-m>(OX@RLN_pMJRZB9F
zx)YyEy^nGE-U;Eyo*LJci=&<TO?TW{!uX<pDAQ)m+0)K8b~@ArOR{$0GqQ7Z+}g6<
zTy3QwRryBBE!%}o?U14Ky$@}^-8Cp9-qsVK68fLCVITnfOr=qsPO_oj(PTh(JUyb#
z(=}hNl;<CWNUX`N@RWQj;HC82>oImY`IA+V2IQEQW=@AZoK<%@y@(Es)~EK_7$QTz
z_OONm<eEE9(55X{L9KGMs>|<@B19lM4_Z83DnCR<ZVJE9<J7H7anoO38{~8v`zHR7
zr{6aGx7+2L1H`$U1rBb~n2!(tHFLnfyZwkx)(Eb*rwSgrq!Kr!<T^Peo{Xuc9oryD
z%Cs;(a@qQ(q=}}$^=#?PfqNe1U8{V7b!0emue{9NJr#nFDC_J9v9&&_MT}$jNpREd
zm?mj0wvBS3xNM#sO|5^U5FiktD(0zoH5cveo*Of#*wB|Fn{Z0Qx1uCcoTrTA^UUnt
z_DJM%51fwOOYbvaYi$hd%BLKmrH6Z4f&5vjh_x0u(Xmz^GzhP4-h#K0s|Y!}J7(Vu
zCOcRb7q;!Cfoc=UJkrTgN8Zur@1h1Z8+%FF>mIp7Q_RRA6NGhGbLfR$c0twL`F=uT
zVbvT}YRO5`31$L%xt{n%a-WrW+XVtLu9&Rn2fcLEfQKHGQxFbPus@9jyBd3=W#PhL
z=;lp?K-ktx%~(M5QbziZX$UHoR~a*Kj6+-0_wtPe0u?0X7N@a2ZnX4dG2o(IRJ@d`
z&NezBmg2<mE)Pd)OrVuNAnKQQ?iODrFyc%F3-%t$DV@S{Nwxp<q<!-!dBOo{9Ra2h
z1i%8Hiz`-vzA8e{5B;O^S@A-AB++1cUhrQfWo11kY_Z2j>XjD0xX5WEvsvqKcv(FU
zA=$@!7t)1k=vs-0?u`!1>KG%s+?lFKdJIWwHX~|+`cWg5;0vKCFapA{<PR;>C@T<D
z82E-T@X_o#90o^7pj}DdG5X%zL#|K>u^sss6HcnPpfn5sIo2%VujBtwB6Bt8+)A$;
zYVkyMcl3_1;=YWi2g^0Yx#7-fX<O}B1d#@$WqE4A^Y}fign?S}GN;}UMF)j-k9^D^
zt)mP46LrfyKCAPPIM?wq{@j_ATPbeIgGjZrQ&G0+7Pvr(kB{HKd2|lDH&KwQ1;Use
z1jN&^oB{0|=suKFs}3zNQ||O`g@PXS=5IUXWts$sfrSwicgif0QN+r(tY8~DP%+ZQ
z@fc@Z<Tl%iTrA;4aCisX7tc-D%X86eYiv0eF3TjVK&8Jfa+=M*^|x#mqT5Wn8rf7=
zmW$UuWTW4i2<Cdj#^13^*NOj_6&L@p!+R=ONHXfpcG1ND$vq%j-b}tw3GlH1yN+K9
z9xof3JucE*Hlt{=n7I7D*$#USW1w|_`Pz6#noIhvwLhyGxHmp|mlOZT{T$$mR+ikF
zhu=I=7i&oSUSLV7m@N~h_9yMruNQR7^9mhMG5mm|p(KThzk<7CWBSG&vGI>@e*-UE
zW^3{u%OWs0fiE74j(TCZB-JWB%DFAj+X?q0GTAep4JY5#W#XmU+?|BzVI1#lIs!7`
z_a<+fO{d9wvzvk_X`j;ic|}78(&|G93rP-Ep}X`hvp`xrf=gs2?O3}wZA2BdzT#Hk
zc@1+i4|zS<2sLL)k@o^AC#O*&+vlE;uWSyfSd6OMjo~$hFcr<{<=HGUIbuMdXEc{u
z==L4&G4HB5>g4=l@f&Gf({l*-LlDX#PC)a}%fcBH52gk+djenF9DQ~N7kqK6#6d%s
zaQH3KcZ?R?L(WaA=F@BF-wq^D@v+f<MORaqyUzpZ;Zb7bq+FkLq`z+oxfFK`7LsTD
zWan8>Zwv64-as10I046MY~i|BJ^#7F1n4e~wjIhP(agCh)E_ufaA6(&e5esi6Td8%
z@oQ)1OysTAMfFDMfN+C~K-Ez`n~$L2!=6tbPh^+ZSBKZ7cp$PAfh#K8a2*bG)gpSl
zkN7H*=+_Q{vF@kf;*@e^-2H9GxlF5KKhaRDWq&<|yc4?LZ>zgk{gW|9xf%XDToICe
z){bA0Zh2+EK1Jr;epoOCLT%B;ogY}Q*OESSs3mQ42`X-ep=Wh=P7y5>`{V#33bx>7
ztylXBb>>+S2o#e4cMA0KL_@g%M#IOKEnz@G=9JzNy3<!gTpo^6uudCKA7cMCZkP2m
z(IJ_H?Zs-`9GGAC=D*V9$I%2oiK*Y(%*^YG(uxow<QlkH$j?k!-lr}pV@0@3<6Pb1
zN<f}qpXtO`8Ng+2cx`-)#7gTB#D=bxr6u;?rrXp1OMeUsIVI*3n+RUN3Jy7~tuu!^
zM2b~w^)20zWL}Ig@mPiLve6S;@10pJax=XuR{CYM8d*Kv=*CKC3UL708Zs@cXM1Pm
zVW@dlp<qb!!$?ac`a*SR)FM8TmODD9qaAg_;aduPS$>AO|CC)59d$u!IJ#2VsOVNF
zs~P0=3^GX<EujtPO9n;Lp6&XA&>ft`m1K`5#tT>BBeBv9*2U^;@S^s?d?hFGk`&QT
z*`Uw2l;UfxdR5I!1nUcicVCL=o2d)61f%VcR7B?w>=~C5L{9pD7t|^x*JqYDJOWl$
z{XbSF@oYDU$BwIT?JstNClaSh(st^dy00y}SQ&DvF_ienhP#L0V*2+Sd8`J=Cklx_
zgrIpO@lcR3WJ$8%9XcY4?yYVu`1SNtHsckR3P?4Y(L=FUGtHeTa+leXeC#&a%$Dww
zPYRNfu_4lG%5;BwxpUi!;H09W%CuQ)Yk4|tM!;n&=zTF6N$PYM=Mz;?!Gwi{ZMj{t
zkV<yc-w+G#?gVn(9sNY!Qo_Pe-9d<3-N*uD#KiyXG8PtoMdE*(+HL{F4_k%#W0sI2
z)CD~U2yo#$UDlpr$f0>D_1*@eF2UVEvPJ*rB8T>PYMHIXBr2OJHhx@RrjOV4c?fYw
zH!`Pk_Zf6CSfnsF)pIr&;11$n)8B$*rhHUtTECWG?V~*s-zL9(AGH9&@R%mcA2(o^
zH9O!TSUevc0f~z1(@FhbK%fG;J0&M0+s=7WE!Q3$h$j8ZVTFsO<%p`|{lZ?}dW)OF
zX_Kc~9yD8~13F>PlTPW|%kY-b)Wjd>yTj*kKGwZE1p@+?4~S5+R`uXM0+*FZS8E*|
z9Y=03&Q5}#M2$+84NRg)uAM<tXMvpERg-98?eLp#Q<19{8>t_3bdfCC3hgK4+B!S*
z;#KV*5k`zgPP9}7e*=59a~w4%eMLlUx)5n2vl5^&dlrwXpp->KK7WKp+HSqW<;GY(
zan8!has~7O$prLG|8I#3z*LZskhmUK_TLZdyngs@WJLb&-#?GrMH5X=r*4M>U_S`G
z?)8Az2J4U+M+$R_Y{|a1va+y}QXINc*6e5K-iyHry!Xh-<<2|L5r2d18kZ;t3UPbt
z9LA$|u%Y;)90ADE(j}>|+E`I<N$8&)Qv7a&L_fv}74<qf$&IQ3V=L<6PH#|Mp3;w8
z>+x6(I!q3$rJe@6Eg4O@Qsb2dyArkPyhVe#618bSlmSS4*iOCg&-LKo;F6CGn6L*1
z2DlDV-|qVbU=R>;098WEMIYX;QhMZSSwLXn-#KxQfq^l5_=NF6*J@C2hz<h*QL4Yx
z^9>CxO)S1PNC!T__Aa5k!5ZwK*}4m<4Spe%44YFhE$jJ-Cd>K4o)hfdyPw2&ji?h`
zes*_U%RlT5PjR8Q>IM)xrliocuYuiqqB~DXQ}RN1Q#E^ok`fXXi<SXFK^%*OxVRF=
z#>UnC=;-Kd&E7wL{Mg#-udl5^?(j$E7khhsfrWw5y*ZqH7x@61i>uuf8x9aSKf@~-
z5RcScJZ+HzkT9Y=a%8)+N27t?87{-*B@<ZTfa8Tl^~$hPjAq>WK+tDa5?2&Y1iph^
zf_In;V4q<yxIBN%IBT^o>avL)2vu|Dmh7}%g_o<AiUFQ=1@v+Cd+AiP5T5D0pM<zK
zT_hk?@>eO|DQiB}U#c;4bxnPS8Sn1SUOWMY#~?pyBtL~4Lna`Gisv$Tht}hNhwr{Q
zK)yq3{Dmmr_i#UiLT(w}UsMN(u=-95`VB|3r)uIimmcC~=%J27cd<;y<m*vt`7s1J
z*DFdsUa=IUAV#v}W`|VIltC%W$)Q+VTccxQax7~9`X%=3*H!tS;K0B%`?sw(Izaow
z%iA)@Z)RpjZ#+0K&|zL16CW?EpfI(#5{XjE!g}Xo{X4BI7j^4_{LCeH>$l8+Wqn17
zE5UFm9_C~lr9Sg#D*-_dhMsYUudB(}@6wo+yD5WM@Ni+Jp@MpSDxe?%lHeF^A170L
ze6Zvnv;k}h5sVn`3=sDlTpn+5Ngc`l-BplM?Se1vxm%&Ez?9=viplx-(uBh>ncXf8
zGxZc6vxLJM-d>+l_>2es5Wg#m1`RI({ScGk01CwB<|Yh0ya6CDihu&ZEe0TK+e!zW
znlTRp(kc1k+0iyNDj|(!E&QR=%@fVl6B35Vq=6c%WieO=-WOlN)UFUWrQ#@0-yd7U
zzt?{NQ8Bs7JfinF@h4Zr+~Bv^U&lAwDWMCBwHaUggOxPuYF(`-y_}P9^P*gfZZvVO
zkX{MF1r^&Do^$>)i?njt#A7B*V9y}5)A;am5WaPj(1ccSw_g67x=i%LS2cEv!4mZm
ztw%82TC}N5v%n?jdQ!CUATI@*Nf*NZGvek+{aT+XoBc3-J%labFTdd64Az)UL%8n$
z3&v(QM}K>qZ*Ms7f`7POwpnbjBPH^@Munh>4-F>rN@{;Ou^}TPW2=+?{rk5m-4bx5
zyPKSjuvv`}+S=NHV;&?*=oWBP-cIQ4{dU`CM2zd1SR0)JLfDxqXglT{q>48M#m|}V
zZZqo3ypll76datbg%SI{h+ju!r>J6AHd%LI<0Ii2YoIFcrU8H?XMl^SnJw`c#jc51
zD%1msGoFWscDJ%%y~jhFM+IrFWLtN1sL$%N^ryifJE4O|w0%_R66>#a{QlSkj}Tmk
z9nLv==*89yzv`*%BsXQbb1L^hXRY%K3#@=-%4O9pI6NEyLL`b%+R~CP!}C^c>y_1b
zWPQ;j!^-mb;qj=Pb9vz^JBlB0!hRdw!B?HoM1PW!U^)P)W8>W_XmDht$C3jL3#%WI
zbEN}l=iYaflY<;@3XeNu*>aCFG$L}kc9{c+g~CFw;kGs!<epoDG9At$QzYgW(1s5S
z`b@ulR|A{Fg}3Wg8PgKf55wMoQqa4FEF;}_ciKku430F&3nnMPF4(|!M;9DHT5l96
z^(TI>@@@Sj`oh4(7})g9=ZL{~#^_1TNd+J%>Mo;R6Yb>d`Jb)snk~y$vH@q4bsF+(
z<=%pQHQ-T-WB`QFwzTTn0F|x4UULrw(KEAq3TCT<@+akSv-GMo_W65dNMwA^8ZF>#
zYR<j$m*`-o#c@yHYv|`lj8<!K=aIhB5^?4M63tqlAdV>gLY3{WIZi3(`cvM$BWEB(
z{|yI_@M&C3x>mSP#iGw(T%6A(#zm3}Rl7gl>i(L5aL08=*+mU+UTVEy+#7l{uL}QW
z$*|TN8sjwc%OVBcbTeS<D%brU!9>4@wLlrSPIbiCY=h^-%L-Aw=_&H-steV>bn*Kp
z=zl8gBgd6Ime{4a`<BZcE!c-%xy5xBfBc39#Q+{+>bi5DnKuVo*7Au*tyUC}?DUvD
zSRjTY41FDC48+zV<4;D5f*o~+znSxoOPNzNO_i?gbrKPfF$tyyLU7q=OYE>wJw4}B
zctgDSBM+j22vRj~La?LRy+!t9QR^F1sL`ioJ^WoK-DL0tUNQXtjjK?QpDw&bwDDaU
z(;Ixz1Z=%2JLe1n%)X?EE^bKM#U~K99Ou|ZrG6czg3;m+`I8S4;q3<fS+<*z`O3i)
zl+V!Dr~l%TtM6Y2x_=#yu_qotwtqQKh9NYNGjsRXfGIM_{sk!4ECabpcsgpZrLO*=
zwbgw6FEWv+sm<tL5%aUbzq57^`Xbo~49;aTsf`*AGnSc194%JP#0%!d6%`1tQ@0Oy
zvn*cezRbEo*O0mHIi!h#j}ln@D0WTIegB(ME?dvyVVsWf@q4FXDcbR*KiP|$<JD<c
zI|rOgt?E|0Xc$=RFL`iwAN_Hux=`VcSgZlwp2IiP|G~>yrCKQ28xd{e6{Y%|<)?14
zfM})Wn@ufcw;y!O=~{|whAF~n8xZn2*DoAVv&2`_AAW`OkZ3fE?=l+)U-%vR{WcLl
zCkUL?GgcX^#xGqivaE2}F1w|ebU_CWHtdCzP(JMUQu~h`K%A|pBlXXW5xQ8Fx$^|i
zwrWx=7f=s1Ux%ZN?TT43h#p-YY|W#krErR9%%`HzXsVWid;GdE=%_R&8%h(2L-c$<
zip{xD_OSj2R!6C5gA3o8u1=wd9z+GeborCiAof#kR3d2@)xKvuojcu7>ENX37p9xr
zv9~p+*46~A`1Y#e%lSSly>veDnJD6^W=^jqYqI-D5_tjK;H~oYf)7VO@DteOp5Pa%
z<KWA`;`}rB4F`^C!WYf=eA9S7Z_iK+VoUW~JD_sS>V`6Vd62x*{m>G$wUzE8VrA;l
zV(2iVpy8clKdla=4h%}hmAI|Lx*TK0k=!vbtSuQ*I)^r+fHd#F8grtUYXj_)dFXf$
zT!C!Osx8-HXF^oA7i|)zpBu66NrmO*!1#Y>W4P;zh<IQ+_=m%rOjHLipl|y}g^2qZ
z>c&X!J1#80-6!|^4d>&Fm|5%W8HKUe<n9vM#jc<#s}-C|x#(2yR7NMg?J&nX9Ff-U
z9>#Cp<mJ}EB!5$-15|Ck++_bgKlIPw_z*F)g=`a~qG--9SZ9a!H$JSOYPWv*nf8B8
zq*W^Pcogqr-sMgw`v}dmAYdX~X|7u6-Tt4W&Be&N0K|L~(w<cMUkXk^r8(w*Qg8$@
zX2H~OtrV%W2CE`_gkt~9hy)DzLTl05pyuUyXFtbW@1Y*C{?UyhbhUT}xD3l%_nF&l
zF1qE8XV6a@x??MQt^b_>UunxaY|G5)O2z9BKtZ-~?ZLMC&a8RAt>)YZWjetN<tl91
za^Z3}Yg8AqS!GRdCBj`jIuGjJHN;+Z5sCyR-{k64*9j3WW<*$Po008{qHfHFeUD=5
zxI*@<r0Hk^w7TRoqaQ%8YFa=4hcPjg<#ZwH+G?dZSDuqH-hBa}HZga^7CqJnUQv{+
zl;54%0@|lwx#AiKzzRp|^#3PV6w({jJl>l@)s)WogA99(E8N-|nc<M0(=o%2t4nhN
z*={KZ?Y}3y&J5&QaAqJQdRcyTB!qQW;YhXn8+|ij2?cbc0Bs>rQ;&%CiotWUQuWFR
zXiKxE;cs9J4F_}|v10(-={t5J#F)#S60*|tVa2LlQI0iC{m54_{pj9<THsEs?6(`9
zO@zRM6X^b6z~EO}iSTz-^isU<erIA`tqRNy!5eu~uN!Md<m9_Q9joa-P199ir8&0z
z#~IK}t`f@PjE}<pbn|}OqocQeIlL15onSVL%ktromFjB*VH@+k#fz<lCPWiqEPDpc
zl}c!MyP`t<Z-GdUV<zFr{<AM4fvdrA7#5Okx}FDb=uK!F*{~Gi-h|9eke}RpHg=ph
zN9CCO+4J?#hk1$Uih*P?2XGhO=KUDW3wx6=@<ep8aaRXS%+XD@2NP}A0oIG~<ArmS
za49#lcmArjOoS0puG28Ht2D&|D`XgWKz319&Tuu~(Qz^$8Cr0&!-1E^O29TuDA)WR
zw6sy7sBHJC-N)7Jm^z@iLf^z_P(%dE<d3nKp2d!JE-CC}t}>ue)^g73_5FWja_qS9
zx93lG`;Yr8Ty)>a?DCFv)jlMU;}fCU7m#)yeNiIp{*F;3M)SX(B67WSvdVc%(QrP_
zZgMkd$5g=&9z%vaz(OH=x2(Z}i_wD%PqNKGd9WXFASRtk20Mkm!`vPL5@0>mFM_E#
zbLM(R8<6^*AH<mhXaPZ8qH+INaBzE<elhv%+lP0sEdq#}(Qh~F79n`o?nnY-VTd7E
ziZM5K@+gOz+ku#f5?~}y;AmNtt83|kwY^Y<+;M>W98i8MKQki*r|EUpQxga~lDx~T
zKSf3<wEl6f>=F+^!35C<=6MFVQe-JV0g8RcFaI?_Qo?e`Y)T^T1Wz`){WqWbqJ1<a
z8VpjuGdb?ieKH^o)g}Jy`NXT#adM$bOCSuB=u%@%>oh0v1#$0vp#S<In@co~)=?c?
z?|3!M5l%%3RZ~mo7^?c@MgPlR<s?vx{w<bNM)qB`J&@9jl_}qBXRw0)e#|e84aa+T
zE9`{p;Q^5+H{}1SwokK)+JY*HyW=8B0*0&gja+uTNLstjCqDsG<ofpBh(&<l1*0@2
zfjSxu_+r5D6UmV%gh;?jsqL4I<M&Aqwp4mz)vCZ_1x1;-*ikiy#j7Psz(4}ngSuJ?
z<%|`ePP+!*t8maBchB9g)fpMWWZvcK3^vxU`hYUt^O@mYuCD*SOaZHlt=M7Up^t-?
zLv<(;DQWd6DXr<(9klPl)FdFyz(q{!yt{k+wP!jJl^9^yf$bP(DeG576U^ig0R{qi
zVe)|3$EPu!%B}UmRY1cIlS|K-iq!FY0)#F@k_r%tf?S2_#eo=5Pa(5VU&_N&xFb;*
zN{5nVbIB8_&b$h8FUm}V-dj~B){R51kDbobqzb`Qwp{}fSI*B+L*7xFhVN7D36+|)
zq#h>L#*!`&%>)pKts3p{mwT=wCgYSq!}h@vI!QV17+aS2w%giE9C$uF%{uvjdblTf
zYIL8y?fN=CQCLXvzmEaqh*eA!1@1+DTpQq4+L&tNo%{CElr;Q4=Lldnjvq4cpOG+V
ztfSh2#}sU+p|L;|HFpp{kLU&V+@Dkis0a8hv)=zxd3#<t26ZCpV=ihHegq2KBgYfg
z3=R8Fe`|SQk>8DVQvBIs{sWsiC!uUwCLnXwT*|vl!!E78W=kyx#JWPjo@T`+Wz>h+
zS4UGbzx-zz8tOHe$ecu*PCx%wAuQ-f@>XvHm2Q2y63?aZ-;8XkygN@TSjp~<0ehna
zB5stlfyCfB{hH*)#^7h2N)!o}WqS0P6N(8^B*xkdV8z~x7=Fv_rgR@oHiK9=3;`k{
zz}Ad5l>dXS&;S^Y5_JqnGZ1tC^*+-M?={{j+7ElTKuKDrle{?<8RQq3_kjQih>{jg
z0PPTY+M#2S*{;L*-vZVpj(2ID{3zP^05l2&tU`#A&1$cF0pHm=vRUwb!X@!Wu+N~k
z&z8=3t<TnRH!qs0?+Yymm~zUn3(78z6tY&yfBVXDY*{`+HpBW`Zd@1W9O}Q`ZYF)p
zAse!vW`TKj)q1Aie1zcal~Lvjk&AinMxpqsbwMHFXDUN7jX@QiC~1J8{Sh1$N8;o-
zBgTWptdm(B($_fDjh%kK3uMm4+p+ZC=QV&TKRGI$v={Ay8H?H%Z%Fjzw%`L8=F5jp
z_7d7}D|wB8Kf}RYNmFWvQF!hOxq}tSR;f=q(ZpG4#YRgI3f1AF_Ch5)>OP-psLs1b
zsV{%c>fN%I#U3N2-b%LQdAqA0EG{;^3eUgnnp+&<KGW8gXii#|iB^S~Y%|_rSie10
zjU}{&N*QWX<c^g49vnAy*8av{Sy>4Xficn1osTz1vW;)yIILnaGJVt2v8$~hR-4rp
ziVPlnq;&6Bx32E)i_1%WfcQFIYi}RqH!?EPbOAf<-?%?NKR2AzEf*9Pnq7g8j?GIk
zjg4)LjBizLRWMVp-F#H~@3K#~$9hor*$4q;alh{&iAVs&Il#{~a#+iy>^5>ce;vR6
z+q1pT_T}cE>CDNK1{)t!km{4{Zqq%&Bb3lauAM;k)~zxI$LorDX@c{pD^0L@=%S8t
zPi7|9^GYlFFmXWfQ>iTuCWz1MH4*TrR5@VyqO-QA$oG0DENxfc(G<?<dK(>}IPJT<
zynOXjxppg1fY%tbY~36Il)*6pd<lhY`p8%s58j>I%gwyoUYbi1zb7|9iu}x<X4dQa
zBt@aP#Xqm*LeT7dqTlHU1ymgc?+hn801fNzPMo;`$z=K>ORP!Vh@sg=TP(jf^NIeZ
zhu<$nkKgc^ZQTZVCbm~a;|(q+^9uw>>4$vLLY~Wf=1ags<Ugri^z;!mnofeAW2#F>
z$H1uy4v1?6s{>&gCJsAQQLc7J$E@7eZX2(C85)hbby}?HV{3Ke!cgy*o3I1S#^GF|
zm2f^R*+O<OaLzs~wPw0sjdC__Me;Q4Bxs0<i|YYgnkxu&1=KxpG{3dKz1UF5qz-IF
z3CN76^SSNBtM0G03%u75PB3xb02Im9arL<UL2lwyzARDO{U$t6>y`A)fdT?_d#v~R
z{NQmpNNH$j$mDTvyXtwT)%J3$0kl|pN@xy0ZR-q2l<hOGzgkJqVOl)I6VQ;a$p9pg
zc8Z0Kq<XF?T37wYqt6z1A9i<7*KMU?k%F_|pV(?g)XnV)-xz<fr!18B@TAVURU5RR
zlpw8b1!d3;%2FOy^dOGA6rPKM2uElY-5?W$JyDla`#)BeayPkP*1RtQuRodHBAL$^
zC`y#Rg-&A96Wn?YMkdP3%*-6*|LpG@9v<H32@pK~85u+$KO>l~m;eS1d=sF&=8v65
zjaikIm8IJ>!3*bx5Or}zu{x@5Q+rpDrx3c1zrNtcOZ6yCwL8;)&sK5x8Qx+<7N7vg
zKH}6OQ8s4b5!C_Yfizd<4WAGfr(3-UgJ|_AM#aV!=jRu@cLV{jt*P(SAupJpn3!0a
zf8LZ0sFbU51p~#4Kw=rU9pGce&Ka7^(t~UvoR!%Git4WxoNXc!uroT4hRJ1aHD0X&
z?qv)<UN|;TZfYrpQLcDp0H#SCC>iq~tmtBv6?kC-61fpN-@bj55LM93sVDkgovjEV
zQvCPOT`|@(&_3@>D@dhu=h8a%KhMuC*NPujnxN#Z7TPykWAOt69X%i=1url#P`VBa
z6Y~ou=G-x}o}OO*%G<qwZ2fo!WvfQ1%Fxh|dP`YwFtmGX+hAhxv>7i%LG@gH!}tZ~
zibv!LZQRxD#?8#4lqNd!=`{~L@lr2<VG=NHdWNNCb5BUrBKrb?v2th4#bssRYa1h$
zkDYnKFzNLHhH{jU)o|bs#nVT+Ulo~lZw(DxK(Su(v7)kaFF?rQ-r=wq!T_|n<x)+d
zT}E#hmO=e8z`dGQKcRIkJ}0-Mr}c%|{j<8u@<GXRY8!gQY3}ZHVxAK0jQ_vV$0&i<
zq;Y|_R6fwHEszV*Wy5U*4hTd8z|Ffo9^~WQc>{c5l7Kh=J6||3GP2!^rDF&bxvqG>
zy+9Nw(Yz-eUT^E$nJwn%oR1eeBRE&ZgoHlDQp$eLG#O8qO67{?Ic@O2IhwCFpQSl%
zfAcD9do%}98SiHUA$u0Vc4$><H906Gk-h&GW9X3q#Bt+Ht12Q64@DfOV8LluunTk1
zWa?=BUO`0g?!=1AnnJx_uQGVwp09Fpb1R*WRCdQR*0>6Jd3aI)&)fGBj6^Uruj4%m
zxH_S=HqVERV50Z4+UkB|zOolWnGPgc2-nAW&J5Q(d}n56n7m&-c=`D7?j8<{%K=|+
ze7sO8mCP3MP6Yzxowa~3qjsysfCvELB)@3pUv$j3ZkVKlEOq{sr1f?_$Fvf7m-?dA
zNB;*w9%w)m0E>EL6gOn#C^nt^bk^Q(7jQ71z@X(mRYzOa;0L_2danwVXtcc^jDXh;
z<{gk<SO?ftYbO=EE<jl`79~bJTmB&5s@-2VuTGC&NPRM3x{3Z;xupug$*sW|Sm4qq
z2I5N1sj;C}rP+BVI#-Bhnm8F!ZoiftO7$8l0W=>k$jQ-21?j^%JfB=BP$l;<L9%pB
z$(Z&yP{ty3@O*HzCJn?&4JCnrv={bQWRou8KokHCfRvhjT_<Kh3prUZ+mh-GOX$7d
z#RpJqvDs4<-;O<6ym!R=S5w%MwG!I~yo13j#A?u=`>Kwnuoj&T!U*j7Ozx)YzH#}O
zJc+&UAPXsofg?B~JQEK%VB9_>io`Mpy`|L$r+6b1e@;gP-iQIE8L?ck!FM@2^Z3yA
zv-@~Y<v>b;e3e3oiaLAhMBwbFA35l4-N|!%LzMlNHc>Lw-@1jK_m&KK=+U3=FL&XP
z?Dyc?yzSF@0<lSbJ=wvUG<>@D9R8)<@Rnncrd-%NusdZr^)Vav1|e@ksRSss)r`cT
zZKl1O9{v*$MUjMC{Oqz2KL``gmCF(qO`GW1)BmI*XHjdb{fi|eNKOTVV0}(G<7)Qb
zZsMi*w>hJi{A2pkru3*j|29Z4Zu<vb$M4-e_X5^$SIJJ)Uj1b*IZpE*lT$g>u^@cP
zn@y(i)wPPpi)*mzM?b8W-CJPDkOUlYx3#VP{?iP+UrGUpqG=ZO(Uw*dRGTw3$Hz2C
zmw3F7{`!k*(f#F(JQ_}=h`DO-lIUVqB*ash(%CL(P-5NVLUp6IiETq(9I#$FxG@tJ
z9)O-G_4O;UP|8pdpF~7$fNRDsh%vP6r$~WjYWrM@>XY>DtXC|~OR%W<UY3q7`YJBH
z&58B`#U2j<a%~V$$Kc^+YZcq?b7E#_D!4U1s&mxhX{^1-fsA1bdS(aMgf1g1`X|^3
zbxERjNdTNKMTg5ZasmE$aMBFI5O4UGdc#@jcw^i4vB=-Cghgv|&#__xXFeYxPg9_`
zzgE=ac>|h5nH_DWv$%B5#Z%D%w%<~QO_<p3Ri-|c8-jWnfg^q*1V@7vuc|s}MC9ZY
zAbVTB9c#R5?I@yS_%g6H=whdMjN#$2kM|CHW2(ZBLhf)RGC6`2hEaj5#`$a1bHM&4
zaP{X_wS`U+|CAf{z7(X=ciV7;2pZnLW{`Y!#OQ(=8AuOSIT_oL$D(=<Je7<_^QU4Y
zYsv)7-MD7R2iuj2n;O8q|Be~Pwhv8N(YpICHg_X(K4q-%NPVvmg&@k|OpCgczNPcx
zezb_SdU;kj*uax)VMqoT&kr?T5G%D8W<d7RDxFpaOPKMe!q!a}ufKfpOiT4ydkK}=
z+U`93%;WU9K>TTw>87Xt?@Oe9t&_2=E@df!`*zHzX3|&OzTgPUs*}*!yBfE)F=HdO
z4-mNZ!YhfkX#bj?207bGEvY7V-=k4s4<}Os7xIYhp#?{0Tp)1nFZ^psF_*w`&Bmk8
z>pr!IOuiZ_Gi_(%qP=SM#s9-J_pv*U?@I%D+0KoUMpgMElX@)=ME1`d>5dF~dhOwp
zi+Lt~N3skecMYI;BH}%~40C04faScy9`Y17XfUY;$|V()ZMI)N>eSpnG)<KP2`w(m
zkzHG9q&J*vk>=g^5`b){2mGSJjSA*q5NPFl(LbxDRJQy9rLLA|a{RKv-9OC1|9lUm
z`272OhePM9N?hrIvL4B~IBR1i+s_-?g#d4&z#VD&^F3H3Ip#`=ua2PApT@zSNJKPR
z1~^bNPuKHdq}J7ul{KDgcf8^H>PipL)*TK37x&z(=ieLBY(G|PLJvyTDx&}TVWHN7
z!Ma?Ed{{VkwhsRb)MyfGDgX&((%QxV(2bCP{*;{%-ur*hz)~<NHxcjD7Uc66yN&=#
z)lnD@mXCGh3TF`D8<qb*w%!7$>M!aVMp05aB^8to=>`P>0Rg4EySqaL>5`Q0?(XjH
z?!0t&zUTUXo_XJI=5ut$QRd!XoU_l~YpuODNGeeNJrHN-c_J8#(0Ub+an)o=Zt^hA
zn`|57gK~1z2l`SvBUOU-i{_*YiU?PeTEUWTdw)=LPYkUn?U<dL^FfG3z&rQsc0pX6
zd~g9s%xatho_oNew&9m!da%pP!47z<_N^)RFSx>tZ7i^}|CRowI%z2u9G^(6opM2)
zN<Q}kR9-bX>&WkyXCGAl`xtEZ7cIwO^`MTP`*og*+4ho+PE>c}@Y)9M`fBr=@w=0s
zwc_2FX%bwMG9oDbqZ2GlX+AF=@cVWjw)GLZMX`Rt@=RU`>k)F4*51SC?ae#n<^Yft
z5N;T2u^;^m$vh4*a^y_5Ad<S4lWFXYxIaMnR7(B?;2%uz11apd!7BYj0nT(ZPUW5J
zL&)xaOOJS<+&dbuHcu)p1cZ$@@*QMo`Npwpl6TgXjOFwZFjsHuGGyuX<uo+?KkfC8
zq}YiM`f|yY!#P%hZUg^}mueyb%b&MM+<)%R4Vp(&l5fM+-JzP6pCwA6En@^BHC9h{
zZ%!X{Nfy3*)A=E_P`C0QkfV)^%uLNTX=N-&Ah4BNstcNIV;nR?311U4duIxp{*zL_
zCg%NnhiQ@4BiH91pKN}$=f9O`LY>Yh5ASywkkX;n#UU!iduyxc%*=lO9bnE(OsC5H
z0#4)xu9EQ^)H(A)xm<xdXU_t@!gC7TGXmyho&sVaCGY-BwcjJFry*Hq+ym21l!a=$
zZk(h#+vJ&R9xe=6)Ni?eqFpkq*EZqV2v58N`qy;31SxHkYGlw|bC+=-O|k4XsSUeQ
z0u&sm?(-YAI5a=H+=t{mpESN6u;-rKS!ig(sJ*s-i`6d5Vc}`ey(d|mZBmm|7&U!n
zJALMKx){6+Z}I?xk3Qn7*qCgz@YtJb3HGS*WUa7lGRb4ehheR;dzlf_w%oEU*l$N4
zN<TblcI+}A+l*uFMT{DRuCqtGyWS?wjikm+66Gl`Ub{OkV-UMMgg_BOhQs*+6y9*=
zXt7m@*e81*5ZVB#%VX@?AZ@o^ymxRx@6l9abs?6V7@)B}zJJlyAc(-zX?;@n*Jlr>
z5OlvROvV`$8(Lj;t{l!^H^#)%C63|p58wW*sDQkF?ZRPeqiM8YVgEO`gy{VQEuyBR
z-!H_@Sm>5%je(!GmOiEG@(tOzYTFd=wstupy-u49-G5#Im)1ZI?K*m3^HsIqA6u)W
zqt}?v(}lUcy~vnQ8v=o+kh^F`tqUjr$oS%-W45=DHf2Ulq+s|Bfku<1(|J)Bisscf
zn4l_|&F29uWae1j=x!yB)S!4){H&g1hn=0`IBgA9Pi=8`a0bVj(UIBtiA3vG$%*|X
zqq$AfIN~J&Xl3_4vfa`#HmE4z3qm4UxVFVAWTAC@W<ldP23usb5WVa8Y>7Z%_kbc~
zqCoLOA}450L3~@XuBAMxa$n&B_c8<Y*jgu9Bn6?qZrcuf+p%3&*~=A!Te!N*b`_yG
zT~*vty>U$?Yf5^R82EX)rYkw#C~+AnM!Qn=%UScQA0I<Gec+c7TW-UPf%=;2uT%n}
z^9H3i%u0E|5f`H!6-SqpzWb~~<~o%iiG5;xD4P5D%m;;vCGeJ^OxBz$jBY!r$llgq
z>+Yl(T|~06;Ts@pL4cuipe5|D!dk=ll4jWeMTofi1NmR9q**YgIiiv08^AViHKtk7
zSZ9IQC&+rcy)q56fZ-Voz+o#s2Va!<bP}+Wxw_~FdfiFl({;C+{cWMXMbC|tLJZ8C
zLQpbA{Z2wUl;VM>$XhiZjrI199>)=)y;n_{4UzhprF}k_h0ukU=8soB1h<k|5hz`r
zjh;q-ZDQ9DcKcy;3B#<oCu7J!=j*msrmnvNG?0&WVCYiEM!f`LU9FMpq(_*y9m;2;
zPG@er?VtC^W;IHEr<nz`^iSa27Tveazi@AsLVN{=gnE&=1ny5zd*{YKB>9Hp*+^VH
z+4o#<6FT=xBUpzkRt<0FV^mv<UYXuNmYx7)gswgX1U!^L<5Ax(6+GEPd@{X~Wz)WD
zb!@eEKvZ~u*wVTyFBxt5>>Dv5R%x}3ajKF!oY$`+%X|Kh^CPXERwKdZ7s(4X4|n8f
z6;^zv`9+We+!o<Q4U_vNQLGmq8-~%J>n@ouG-a$TW5=Ua>@EyJkA@DhswmR;-AX`2
zwB(di33TI7Hsbw_ksVBqyonDS3TTR5TFkcozLIy_7J-z9KKuey&-ZhArY^>>z=_9e
zT%XL2DL|&md)RTYRlVzCVR8jp3JOoURo9oV8>b|v^Uk;lp>|P&F6Psg4awFh9NikN
zPsF$4P;y0#@z5oI_Mj0(j5qoA15ZDsEa!N`-7fCqb3PreZ;ij6k0&Xp+e&X9?dRS%
zPAco#?Z{2zm1o{(D-bKHYxXp=bXVTGBnA(pg4JSb+^RuCCm)2=`;p#L4#9eA$bdSX
zILbA*sQB%ul}34T_colC<BXE}y|Jo@`JZA}D!{uI(B3=;3rVEFb$1wYf85Pu7BW*C
zF7W<0I{hubA?l%tV^L7u7XW(NsTkHrj;6Im8BJ=uyA9#mDPN3gJ~>=Mj8wImV>Ss4
z31vRWGh1Bmw8c1#5)1&qh_19@whd6)WeRbo=jGA7f`b*)6!;xq?F-iZw}Ck^=~O}C
zt_EY6j2DgrDt3Z3+$aQ11gGpc(P~Y+Zuw)@+$gfaQQ2?|>1Ab@jT+0^(@_}UeNnqR
zTha3$lBf~$Kuu?Auz`fv)N!RaxJ?wRz>dh802&CScG?^JKg{peau`QKkzp>{fGpS#
zWE&R0BmBkzv4>zS?m%>(&=~bmnsf+F;AYbB?dQ82E=}Rs%y7=+Q~<zh=_~&NVlias
zK1`S*<ne3=kW<XW2{duv9O%~sVvIz8ZD#TPfqy>{-D{!${gH&M@!`wqf60!%)Dl^N
z18vM_C^T-31ih-E9@=@x8pwA31LCoH9I7IZ$a=_sP!(H&gc}!nq;rx3ppQLL4`ZEJ
z%-b*r8X~BZ4F_RXx@K|#TulG(;=43vxRHO<*Zm^})Fe`CBL!ud8Xv;H_vcwli9uKO
z>;7DN2*??eZb|T2o1ke^=DpLo;)0yTt5*#QAp3d^y&#p%b+2U@D?`T{A$7lyiV7!s
zKtS+6;sFYYH62)6m6b6AbsYD(3m@>og8DCk`aa<lKcct8{c2HEOY03kKmXT6?x?o5
zED3czLqpru-*{^W2a;dDAOIwUQz5_d<SbJnCQT++>J}JV8O7XTw?z%~<&k$QNx6I^
zMU8RLbu1mo#!O2upk54$i6;dKD|o=3V?{3~?Wfhdi`0SFoYphjtpV+u)6E3{nr8EE
z{ShV6zTBT3_{-#_-yi)aCZ;=*T9!bdde#hT%%ntzs{k~sK#w|PnC#wlHZ0&dR(pB4
zC;{$ZUGdA8FY(Li=tbL=iDv*Xbk4ha34NiNZXnTxY4?(TaLnCyI#Bp_Fk9|>a|Su<
zrA!V3*!A&hyYtneBUIeg+uv_``M0l69AG9-$3VMiv*Zl<law^%`E;iV{pPt!(`VPf
z_ieV(mE-Ad`RR*<#QHB}hLtEqjaBf^-8!YLT$<nk0pKfG)5N~N+LS#$H!siR^u4#y
z(pZ~2c6?s#yF4@#Ip|B%ms2*SVj?A5$fqRW1$vyvltrXGHq)sU2&DVRGgyLZV48(m
zsWJ%AD*#FY@$kg-G>gSTO_w>anENa$3LLBAy3WAu$B&F)g}#Qu(?E#_5M~pbriuzy
zfVp!4+()_6WRm(!>i^Y^y5hD)HB=iSs&Js7UGhppH(DfH=aX=z3=7?cLT0+3fKm0Y
zyp)uc3{f+JV4oj9e&9lw0l=3sX>xLQW?II_%35*q_t&pq6rB?%!=avV=p-aV=R4y!
zC*7pbKmGv$I_KM?W=jpVoelplvRGKB`BrTZZ8ko)h{M|a{tc9XltCq&)~T8t8Gj@3
zi7P?@PfnWeLarRE>FGKuHg=Xod00tC1`}`vc)-@|6)|@t_`JweA>Y#}Rm)1Jp#Oyu
z(bp#U1xnx&yS$Lwy8hLwW%Z|yybErA<0ydO;>?;{Y$b8sXR>Iz*^)iPA|;hpQo<J&
z7M85~50wOBM$^lhl9CT}xX1t`loZKDLPjPGMFbkhhuaIu5S~X|EeXg=d{!fLTE!w>
z{ll$-rWLU~R`w}u(hXno_}+p@j+ehV58K`QYsjrRWz!i}rhmQv_m&G7ZX=r>BVJ>=
zA^QfKf^vj2@D~jy=iil;mGMIkAf}|Dp_!>L#sc>TL#NSzU%x0NA|g`Wospfret0+p
zRG5FcD^nXE0jJVCGz8UR219^9nIbg}jfq=EjaKV(u!X6qsp+?7>+ES)R|_>^jXkXq
z-Pd($DJ;;ZJ5btmDs6HK5;lFyuMPSgY-psvY5)O)*~QK8?R}5Fr8YKeFMOhr&`Nz(
zaB-hws>|q}{V1LE{c?IR6q5INK2^<|DQx#D3Y^vz)4hx}E6>5Bi3Rk=#l^(}&`iF<
z|L~)@`H|qq!h%{?2ys82rdw;uCzP`fhqVwApbP8<Th&LS7y^()7^pP(qtLuJSe{Uc
zHsDIAsi;<b2rX8??t>h8KJmZ+w>WldYwL`xEFI?9>x~F$C+Ow`o9i{up1;;F&dY1l
z`hb45w*1}IWsGkmIsfib`?K0BrbmyO`r1`1&JW6k`?L)Dqd&a{Sc|eIbj<ch)6u0Q
z^Br{8g*`JtiVF%DXhy<7KFX2Qd~u81A2?lFxv!kL&iQ|jq%xuGql&#>A2r=CaITg;
z1$4VZgbNi|?04lrKuGKw-rL)ot#@RstgH;4Uvk+i>~aU_KNiK;6`+DPx?dO^4Cb=k
zf`Y_Qv8)|8F~_1E79(&+T<6CP{M}9B8U&tILu2F4cs3d`9)sS%-|}S83|o<)h{tGp
z-=z7OGv-Q6-{>oAW1HYMAx0N@Na}>rpq>J5$s0=!0f<@VlnGa-^6%|?ItRi%@oMIG
zB?5fzt|i&GKcGkv;$0rFjME$hS^zV8S?*w?X^gy~{b6#sY!)&GA6g%Za1wmUl59qk
zC?w#zB<xPi({Fpj=16I4>!8)S^laz%wvty{{>^X;M^Ek`gmL~6s>@O9+FYctmOt;j
zPr8D0&GP_{P<A_<T&_s3bCtY+)9r<klf8|M4H;hcy9iv2q2n-;AOy)30HRT|6U?ea
z4Ki}gE2)$y&W;FH{JFSkDq!p-Bd0=@RcAz<#E!sJbGn87jSks>q@UF`%)f(ssZRSc
zstx$Mz&mJ3ZSimE9m2NArmv1o=rMeiB4eZTK5KVn<|lgzvdK^CIC~Oh*Icg1gc6}t
zglc}a$50NF^y&>`ruqO1t$;lAWw-hy9z?}v++?Oqd&}w%DsqSShyTih{ac{WG+z~Q
zRCVy;O-1$Zew|wub~<34fFC1rp>JbHpim#2FlRG`OS*PfAi19({?v|_*gZOD0~$KV
z8Q%oFK_mU>@q{#r@&7H$zHx_uPZxiNb76mf)k5>=nxf5>@J*Ueu_J?po9>U(atanb
zftf;?iMX;xMd)kgcrF#yA}gD>QU{rZw$~OD#0@i7Wc-}>|0sV<Ko92>F}|BJL`R8`
z(km*$%t(>>!8Jazac8!osmgK2NO0?SUn(q=;E4_}Sc^R-qKL`9$6di_+`~<9)sd<u
z@m%%jeY5hhqE)3qf3*GGTsp8K7BiqlL|azb(QB;BHxCbthPF3Xpi&e&jn+g~xr^3x
zz10o$LGWU<pkV_nTd8pSk#l`4H9diM1pe#r7GI$vUF%g7e%|X$XcmLm4tr^<xyJjo
zissSw*aTEg;!CGk^mE}c!_f^s{yrqVQ9%eht?$1ZXTXa@kl?qsq$oYk-94wFv)?ZW
z!$lEP?hm|_HOm9m4R0QgRupG8uTs&8*S-y!09XJ6=q+{1&%O4Hm<1=F8xo{)M|I(%
z<noCjqmj4FBTtr+D0PaE$J?G=J3~lti8<d%04j~;eI04>d3|K8DCA835(<~Ly}vd^
zx!1g9b&x+?&s?-*;niv$`-A<KTyCv^bvkXeOoLi2Eb^m?5&{+`*5AL8ev1~A%W|D?
z#-nezTcl@Io${`3zP=)*2Nf1^#)6EPh59o-6hxzq;ww~2ffI%<y~@+UsROridmb2%
zq$IV`Y&;0110@&hb_OnrX#gtIx?hD6y1Avpl3-CtlegHa?%$Z^&rn{$`!$!X^Sd2~
zqJX9_ayHk<kad}jKbpwg{p8J4$6t!xO~?+*m%`$|j{DePiB4j12%}`CfI1ynl4jHl
z{Y0|&HDSffkHNhbTU99kj7Vcngu7Ig4ixzLIF)y(0>VT+(iUS`Q1oCe%@#Wd&7Qw`
z`yq_>?ovljjqc>J_1){Xn!;|Y-QB`{Mrvr>bgQ@L>B4{Aidk4*&lyP?VzxPV{poXk
za`%0MI+VB}hSq~aXoR049X)MKIB1Ex^?MNHk?YnFCS$kpFovSsWnU8!OL{Niaa{Q0
zqPWr^E4`s7_)KdwX<=4#T#Ox?$K}~N4^q_8XAP4{ZqX+cKo{laxWS*fZpZmL6;o<8
zl%4=aq_fjT`6%gCP_WiVtyf-;6KT*c`+FC=Y;e<qWi#e<J<IJKesXXxy1vo&k0Oj7
znjBD|P7$TnOFvhsM8kCr9{Z#AE9hHgi@a!#%Gw__e*zpVGT9ocGBo$+b*se}7G|U0
zbc(cXjoHgXEDS+;mAQ^Yxdu7x3_wm=0lbdqBK2Mn;wXj-VYn0jg|<WFu(tK;JZP=@
z#w_?gVeVwp#=w9?pF;H6@sv@`xl*8yhW1;~1F0>jM+3Zc8+J{m3?Zivm&9hgag=-|
zYDyr`?ggN+aB_x#ioj;~RN6BPeJx=>XF(#dF#KJ+GlSwcYGIKa6@VoaLLfW6QSPox
z45>U~t)HCg>(ga&OXl`BCZfaw;qY)lCwcW5se$Fir=<Ctf4UaTq_0H1KT=Hp#@r#@
z<pUK%b~_cD;QN>IpvK{LTy@bbI-HMZT3p{I*;t-QYXyDA_65T2SH2wKs+8%9MJv^%
zXqdTYhPt!t23z!6nip^X$@YR@aSphP*-}>%ZF>4z%5qEj{sC*LzqdGVs}LvO*|gJy
zH=Gtg`U5yjJFif7q#BOE`=(IkyUPzyQVZ)v6J?jR$d%`=Gtx!7B9h1$BK`3Ubo1lS
zjHp$$$aPc&e8t6PpsX(XxEd*FNAFOuF?E;{@2Ck1<e({;Omcf;=za&XKTrBfqa1eC
z8CkiG`^LK)>pKQBz74dWLp@46zopVQ?+~ZM3Gl_W%~51M9xyA#J1Y^5gLZJG6Zm1!
zs(qe{S!N4}^62zON4@r|22wl72K9e)DxTC)J&r<*6=E#b4&0xt{VyIi{v<=YS=WOD
z0`<j@u*d3!G1t<C-1kx1fWaS6Unn!9BUpOdpJn(kug&&xoQxN4*jyQ}7)(7Ro3WqJ
zi=?*ukB^no+#g1WXbXUjUNorIjB36sEiGz7Nq<Aeubhd`ouKKEyGZpe1zYX_Sj2&v
zFq1A=W$>jKqFQA5*XEoN3VMQoK{hk$K_K*I2LW7`JI|<VoqD}Cw;R0xmB&+=EmRZr
zh<{xd{<q!w(&M7oBqjRxYN*QOH?7IJT~4`(K_DWdqt)>0v@q}HK~LMOdAH^U?Iogw
zZ|+oj@*lIFOZ-oR3bAPrZqL|wAtNMod~y6SQ--a|NGZlW^7Xu9*@=-x#CnFhQ1=G~
zmuD;aqs;5S_QWpHD2A0fCp4SiHD4~oA%%pBuasTOjd_tHUXHQhPU&xPS7Ae#_Kq#K
z^bU-Ps)=UE_ZBQf{1`-n<BH*);+ZAhFYBpi0#`@?X@Te5SNj0YEE_9y4Ns%dF!k@P
zc?D)ovsH=YKTj!?MZp&{(b4%x55)&$$NMPzI-ZU6ahZD%7pe>jm-5xVWBA?lbM@NU
zi5+_i6<)ZK&5Vk_?{ZGqtZ-&>YZ^C=#g%Nw0`A56YJYq6cZ*&HZmIh4e{B$xwcdN~
zwN;juBKD!_u39i8fK4CjR%NAQTo?|bGaen$AdznP8y|irYgv7^-N!Y+6+ZiRdeXQ;
zZ8V(&?=xjMCVD_<{iV`R{cM1d0!EpRL4_WiiTyx3ys`LLY}HZoQ#0gIeuwiw{GY~I
z9ukd?-y?6_h#!kB9LWIVSV@TLE2P3&!PM9lQ7p0~(qQ?4YZB+{&4nj+d{Dq9;_3NT
zX^;^d-1+-Hp67+PGd-D$;y-hhR9F#WE-jj45KdkJa~M3G?7g8+k^kLNWrnDTm2k2g
zb6R?w`RK9fmWRh&DG)3B3+U-R%AbV{#}E)>be}WH9)GJpX>U#BZE{I!>y^UY)Lp6T
z@CXVC;>i_mZw-*ag^+CQxvLUDoO|zSN27ufN!l6_Im)W8k*A_OQo)M@J?_vAVoJEk
z7t$}|nlzD?+A!2nb^m;8f3{z6-UU3qSGt*ao}|1<rkG<TGv>S{Zn(`5yAZ|F&}t)m
z3=E0LVGtiGr(7<h@yhcZhyw!^KsX!KcjvpN-#xH*b6Y{mOs@cV+P@~_b*Dg|K-qAy
zK!o<?ehKi%S~T|tW7;h!rAR+2$a8_c9?oo=I956|ml9^77BvzRG(tsYciYvbqQdG|
zw3``8ea;%BD{|SsF>OB>!vQqVKyz8kU>WSw+bC00;>pYR&~`G(T44mZdh7{>vZi-|
z$>r50xdo=p)Mtjkqr%Cy1qYm2ZuOpo(!~#wJ73HXmp;LX!0Cr&gmw?BFDof2Dx1z|
zy8i|JgvzRAFYANU0;EjTzF|00+<){~v@p;U$N-NGC?3IM6DM*68}0^??+X$tFL>Z_
zeGm6xmHzIN!s4Rlw%rhkMkYJV7{{aEvli<~nJmiTuHRPm4y5xHY{krw@H#Kds)XBb
z)6(zltl%ZiP+^&$#O+X_NtgM)=nLnL)7B-45*-<CnfQqR+I>`P@^DdnO~sYI*CZdI
zTE1JJxS_0cjrY1f`L*YNd9nUcpE~C0R)B_1{RnM^WmF~*E`Cv}s5IcAvR+B9Cj5a-
zSzHt+O&ELwRyJYV`|rgimHU*@IPSm?l>NUAES``%@l&P9Pt4Hh%N2-QyJi<eIW#)o
zJtzbW9Gh@au-as=MQ`O6CQX`V>SOVy80EObWuePE&YQJM*q(Bf5nq~PFj<9lU;EQ4
z5=gQV`c5kE52gMhwwymiL?Mq${rATFSuP-#NDuevv6$nbpFWj(yAoRQRN<-zPYxUg
zxOoiE4>HcG=9W*>MqZykj(Q^D+3y9<8f=EV7bqnYkl6Vmb(E$d()IgQcCsf8hDK^l
zKA{K${iTbIDKaoQj(GXIpSn_xicqemV*TZ0PME70^53?C1PG^@TDnzU)&I5%M2#-4
z{~gPx-1&n-Pap>(R!KRHZ>^}~2LZ>JHF|=eC=G9yo8z+#LcfunUOL9D0L>@S%E>gN
zq9K}20dG^xTjqOddV&E57SSN*0>*h75HfUlCsdkxoC5dfcs+V+m3KJJ|BDz=MrZ_;
zabmsxY7;EEV0+ZJe=5z5E7a!-s5HXgTTb>wX+{qgAEd13INr^APn?uWOGrd8h{NZ?
zQl|Rir;5Ntw+KUU6*sCxAYAGXXnhNMtlS!&kaqWR#Ji1I{-+;J^jIQy6S&a;Uo6)7
zG;MV;Tmj<Qw&>GK5J9$n&;nCl!NkfWRlKL3Il*ZY#L+(?%_y87QWybY{N<dlR=B-s
zSEzt)7Mj=9i=PHVqBK0Ur8fm}u^Y00E!uyPLY%5~cswHi_EJYp5H0+d*RjnsYn2hF
z3^dl0yVaY+-vvkv8yhFAAE1*pUfesiUU=`g&8jQ(;G8vgQH5S}t3}|Vd|JIWmaZ_O
zDk#)$FU3U>v3$*jZN9hutT=Vt=tgT9?4JL<CvO(NiM`r7OGXjLQ1VBRLKY~X5)L;B
zdzFp__OH91gr;HvRPe?MqN1@}*1%`+DdA<JNWVOIaBsQ&BY%W}n!>?1QOEW*4=uB@
zT!lD@BDM~~6Tbn0h|vsbY)#558ZA)#uXDvp#J}~Y+F~_FyN<5kB?qhVXi0NkSm%xF
zaE@@h>O;}yea;J$!i$B9V^?-uh{Fi6UpdBp?)t8GliD140M!vfg^43r@^jvVCQT%#
zsPY#t-8{A_GS@2*{|kO?v(E1n*{h6t5CY!sqtO%O6&hT!j;E!@R|{wc*95<jCasFv
zupK<olr@bK8%gXuxlv3_YNZFUEKF6kC+qZpj!q5KY8|hg(}xQ?w&9LvTL}S&NlOe#
z_|Gr|GjTLmg;lBG!u$I6`SD@ZWJ9HUW}C6F>dq!<pFE<wl*#Bf(?ZJf2ES#S%kp7v
z_;g9|JR;PI47Pk~o~&{V*Z}?bjeCeoHZNt&ZYIhb{lH?UwVjS{rld-392aHPn}jxt
z;pvo+{ZG2y*U>JAXuLAphhJSs@V+9p`k_mD-Xf!noZ;tT7Mw)sgsQAi+pE*H%CWRh
zFyAbCv*uJj1IF<q%BjJQGKigi41FfmET)bW<qn3=k1yXx)Z`dqGCe+;(Zu}9qg7S?
zyO?p&>7Db!;s8rD&62nAmDu^E#MaQYX>OT9dGT!ts2I#>9+H@}(MFb^Y}jKwivf=e
zh0@hJuxz(j-j>39zGe$bHn0FnhV75doBP=V>Dn(OynI$$VexTUe;o2Ny*fT>Z~4*0
ziAfZxOfw^E|3hEcbXKKSb#)?*+`RbuH^y7XQAVu*Y&pY!p9_rQA=3juIv(CpQi895
zL-d_HeETCIY6ttH%iz!FOIoNS6~aO$9}(Jr!F}L$dc$6ynBFBmg{@a!=)eyjq}=xc
z@4y18W`XT@_yFJ?=dClpW2FMCydhDF%<7L6nSn(;qWSt~LRVHLc|m7}55Ne!4UyP#
z^aDd4yuZgMr#j=f3Zog7(s&?R%M=#E!_K)_Z$ED?&$l5BL;`u`kaC3Bj-a1|qHbvk
z8EyO@Yo>R1@Da)yK=ie$7a%FJv{)MF=vV;vrfWJ>6uvWJD@M>;kqS>ZXfw^PRB0bK
zWD2*W*3B0r#AM?1I2%(qBjaH$;m=VVHZp%tg<<63_8>%U=e1ol(KX+(S4D0xZB9P{
z*4B<W+jR7UfUCeV@r+bd=Zl2x#P{4#kqd9Q9S`W+(Uup35OqcaF6gswPjQ}ssTlvm
zFEWIy%eT!{B0FEwu(&`>@RTH#jOrW+8GG(9Ss0FslGw95Cb?i<pCtE$%wzs36WiW3
zu?EbU*ej|>ZPW+_YTfEZ2SPTs>_@Np|G&vAz5HnW*KYv+>g41EooTY~TxGdD<cC3i
ze186ph9&?ABpVAYB>WgwcPh`GUEi(v1F|M@ajwmbM4c^0TR<|qJEqunIz0KB-jx)$
zK1zF)X<_n#`!VJOHTjiWFlG3Wfsq#X?&V#+XvI%)2^<Xzm&5%NEL}lTGN|bK5BF~e
z!qmFMy1ky^VMCw}2ROei=tZ{z>hRNxY0YY<0rF7ZwuM?-sCx&{Ap@agGPP`0iOFOh
z#oZ!+9}85gLk{MpJud3=@&drD8Nd>7W=SUxg%I=9Tui9~(0(0gIL*%Pu+v!j!11J|
zPfbp~emrTETcrYqR@A}pfMd<0e-`bBLgChG&^I5rOb+wW6#&c(Q4NN*3HevAtrxYg
zmZZzOj&?uk++J%2O<JTb*hIFona+M^iYLe)XudCZh!v_d943*Gk(nvch6Ms?7%d?8
zhRQ?JMME($Fs#RzfW-I(Jp38BDchUP7}&7bSTUd>S1va|@q$OQD0>QIZ0Z5pcmQOZ
zMjViOT)!RWJ$nU4wis2az<{wd)CNNdVg?3Vua~_5DXP9$GGoMFZ-dml-?zbN3(-Z1
zNfWPN)C`WMbvXwtHzxHXFmbBPk;?<=Nz-g~uz4oRUT^Pxe#mzP!Xd&3%amkKI(Fa0
zP&B%=X5Z-N=<CD-k=s9Cp^Crj<3X2P|Fw^MsR${r(ZVaY<@m14#+GzcH*<lsDCWh$
z=4%2(;@3AfY`C&8K;kP@s8DXP$jwl{UltKE3&4DUjRz5O6j`g<*f5Wdjt=6=W!GH-
zuNA^TYN*}E@tkS#cMXk@=4Q|G?$|+t0R!9hE1(`XwBviroiDFEi!C>8r9J#P>Gs0W
zIa#!#-X#CGGz-Ux@fJl&s&G4-zx(U?Lhu)PzFRAMLCsxr_OiVGS=IXBmoI61Sa6cI
z2G-2fak+ldrZE7!-ttP`z-F_@@Ld6HQBjjXXIfj54`@GFpOhF5*nd1evp&BJ%qsSz
zL!*>VD{G2gi~<&)mV_qk^&5o04rIOo;s+fQbL?D@0Oi@UXTbJjxqjo?FFZL}GvWaF
zs?d{+k2wQ72r2IFlVKH_9H?Q81Y@IJ*EB{N?KR|7{(djbpO@c+vsjNojyuGPsgr{I
z$V_vPXC55uHSBMLNB^93?7)6G=9x-sHCQ!Le-__YU7lj~eluG9cZ8!y>C&Q88HDeJ
z^NVltn%%bZO}di3O+Y0C?x}E787AjD3rz-P1lir_JY(G3PyVk^q}o<%o~KtvF3cV5
z7bQqL9Ber>5kf}te(mOFC#`|eNIaYTpcR2D`=dBiw(ShOAPAcQtw2UYBi{O1u%cPh
z;b674G`$wM&;x3JEksW7gZY_EmbnH}i@dve5DKxBr4Tby-Iq1@Gyqor{=07wf*)Ge
zWJVZ>tf*TtNkiCxWi2$=?q3~&@z)0y{_HH~^uB6&cvsC~pN@L2GdxWl#wo8-4SzP&
zR96?_<m;R70zLr$nIUG+qq`x>UF--st&LPct=y#N3Rb|83+21S=U8?-qrUPF4W*=`
z3j$hyiupnXTF^w}{rfkYs~VuP0Id)Z5I~VG2L$;4-pJ#<!OF>zv^@zL8XA}<G<3}^
zXoo{uINySmE^1}C`-XombAJK;?c;X6xrJLdfffpkP&>FCS4%iw;fU?|L_K#j3%}U0
z8GyR|`Rc)6gB-C)b5<P3M8oMdzgFBSdoZ*bM@BMx&UKR&z|Pa$Yq8p$V1NI&9Q6lG
zAzF+uik{vV={0x3ojp%#_XoyKopPHQrO&_hF?eXUv?`*jl;Pf2=A|H^qEc{jURT_q
zyk_<e2tWcRIiFozxM2eE7`rU0BmVpu-Dd(}xu(9p+-Q_6ODYkm<^Qr^h6&by3*$W-
zU;*(GFlDGMzg{AL5f?W(u}(%W+E2G9bk>^DIy_)gLZVrnP{7kGuX{siw0#58y+6Gt
zx#wshT1rl@+R1fp?p6>Z<4m~JTz^EpCsb0cd&%RV??p@ZWp7xP?}&Vk=Xv>J-?GDF
z&;G)t=PN~n+*JYinB!zG2^hc0mn`pTyjnjY+Fc<Er#Jol^mAJFC?|c!E(~^(c1E5n
z*~Jw?WNlV0wS%W-^$fh5ugUz4rRHr=dUu{;V{41qVP6T_BLjy*@S=t9YN5Ts`Rp3>
z&y4I{@E*6o!W3vU)}1uKqY|ZLW%&TQs9diXv+3@T2L?ph5tB+e1%>d)$d2oib!X63
zGh1s*3FZ~iS~gxN<j+y`sCu+T@$wnGt40xr{E4!?z8PTvV&G8|mC87Yb(vZ!_SmLR
ztN0a3pf_P36@If@g_Vw4rTwyRh>L#HY>~k6Jyx4Ys$l1BnK^IO4rR7+*{zc_R^zLP
z?W{eoPznU#q`BABt03HDjOI#<2d1&St|)t>uuI?UK$`;^J)qt(v3#!VCY5nuc+x32
zfL7MmVLt-nEI{wkDVKSVri;R&1oM#sS{AUfgaiMVK|9T{0Q@l+TDG6DN6hc`7dSSh
zq?ST}E}`28g%AM=X${(z0Qh?|c@MBfX@UNJ-|5^#{Huu1{dFoJBsdMzF_H1HxFdsp
zu<F<?9^05wm6)OObY{soC>-j4U!_6CFOLkFW4Oh4Ikj3dzpmS(Vv9L*+43b~-m=Q*
zb55FIH7`z~Xmxxcb_*)b%#}?80FkX)&E#^ix4J8K76TIom$@^C+FyC)U`kO<+%%&=
za{roatw*b40S#vwAk5|_PH<7y>n`53G9oZawnv7o(-TBPh_~|HRk`Hkr*a{h&iQ=K
zX%If3TZMKD*k~~&lc=QG6)2p^nbu~gdUknVkSUY?td57Li9!OdUl!`GaiZn-sgfmg
zH#Y>JJ>AeAQpI(gmtb6gpHP&3Q2cvSC;uY)q3L8(%yE1i3{il97RD38P?+*LXWdK9
zrfJ)ByZ|f%0!I{KtUP>;XFG?ai@3c(tBNK=AW6sZir$)=;IWk{m0zI)vVJr<QISUb
zWdPU2T;G2U<cNy8DAmWyXAFjRdc1f8H;l2HWfk65#Er1+HFct-K0e*(2c|8OlOq@n
zEEPsTtG3abbcMN(@iDkE8aOLQ0(Yl`-4hK}*AJy(8XkBU>4ZN%5&pcLX)bngrH2o!
z4#(tIL!vPRfQgl`Ha~ws&6PvdCZ5$z%yOR%Ynwg_O5j%Cp*ub{uJGUL|6wmd8hAP8
zwq>9no}QH5^WtdzcQ_my<5gpLsdl6F%1ZYBMMIOJf-l4x4)*z4?X?oTBO1%~-Hm;4
zrlB`_qU<M06xB1NFM$Z;YDW^N>gfVO=!KIufj(b+e7l*+$WVQC$)YYM_lx-#R_O^C
z5Tw_0CwiUgDy5}!hYWOQ-?B%uvA(J#+{5VwpgnyU2F+?-xR=*o_x=ky0XOe>1&?g7
z5E6#KLYU6%7+a)-BMo*0`D=atWqE~>d3}Wu!o=-~(wf)#F-p5x_37|pd2CdD>0t4A
z>}-$$yXIq75YX{NMk%YcwT>~1bcn3iD@atzliVSmh~m~KzJ_-U%Zx)|ZBPc#l28Fd
z!0IPhFcJkJzFnj=Hz+a6Rry=ZFQKk|+q%QSQbn6jPD0YTnZN6uE$$qp#%09;XA`LB
zEnZXhc69N2ZMXksbHsu~gAF=S$BqUd?j<v3M7a!x#)oem;vjzvX?O=?3AQ9qkhX{N
zji<FnTx5;%Hv9*lbfx7jT$e?%-$Nyk*`*YBR4*sl)bL{lG^YmIO&kw0dAyB+bt3*a
zRuyk09-!pA-2?Q1IM?gPCnYmbMQoPmx`~$46F`}u56A3duxq7U`}fO_FN6DQ5Fq6L
z^H_Ho#Kg7+0~uEY0PNA%)d}dlwEk^k{4TGZlXLcW82hiCWCDHcGgT3%;F$T{URcm@
zRLK*qGR8lOMor$Ruyc|FUP+KMO1YlJ+2Y=)Nb)P#wSMds=@q~$u+aRzsrs!yXoC1M
zN*T6IC|%YB4<lkqKWvfMnit+EE{szMZ6;0=Cf!%+XMydqax{S(cP#uTYwYrYEv57b
zj+ItMq7z2powa0jyd>yYOBc=fyZd=U93EYevpCeTIJ;`8ZLyIV+Bqjt0y|zsmzh!(
zhxi>aXR~-mO6XA%Dr)n*t6GDsc1B*yL1i(_{4=$<h4DUwYd%1*mGBlSGR!`|jn-E(
zV<$P{5QmC(f*7wXfFBJcPKi2)8yWf&^kW;QZx!1Y_*@asF13RUfy&L>>UDY9<x24+
z)0;P7LfqP`e?qjv7+kv6L#yNcnNg@lO8?$`9h0cVOAOlQkpMLTK+l#3mErv{#v1Is
z*a_NqD2blhr=w#i%r16|@VtT_yn<|KGxu5$FOTOl7=ZeIf~x#Os#ze<kBv@$gAyql
z;6UL2v8V87!(*hEQ>@4ud5Z2z(2L9rH@^oA$OoZHMBySyNj)BbVVg7M&Gau;j)e3g
z#r;A~H&gYECPDMvtXQ_4wG`QfOZ1|xYJ|BZgJvhZ=~Qw>vDDtsq8B_9DBUq!_$n_h
z%=(8R0(%_g>^#|$ww*7pS$Nr@gxon2awfp}2`cM4&CK7kv3l3Tqv>hMy=x*N!Jfod
zwmC*WD%22FHeVFG)0|=X<Ec4jNA*-!Y*@koF{;<+#RCu(*Ei)pKR?cM73n-W3MehM
z>7LveeHX#7vOA;g=HUcfg+3#LjZ}e{-q{w)<8ZPbqOOM<1#Mog#uHd}qQ83e+FL4L
z|D;ujh>BWY&W%V@jW3GuHoMX|$@K1G_4ir#he}5p!1ICb<tJ5l9hv6>3s!7+?<m7n
zl?U4%;DJHL!r!IP+UkXmLCLEbx*-a3Y>x{8ra=curSuK=z#*e0-<=|*cbdII0bQ^n
zFpUgWSQyTLcuDBTlrPEd67a!*#->q<zP(*1o24UqkH=ka>kfFh5*ph0dXM{;5tB$Q
zIoC>$mb;m}JPz1<wjpKJ*Bd(fX8Vi`o9p(3v+7D6MQvn<ubKV&T{0_rYvZxj($_D<
zu&f+y*JE#xZ!G3fVJ2vBilyUPHZ=I0&(_4gKAgr=bes1xYN>iWgV9vC<!a@xbLgK@
zn9?JC-&_~xFNVm=b;UvF0A@LPZ=XI^StA1Qdr)({+iK5;7_6;9=oKHjynwUv&_OG3
z;E{g1b=75hS+f5PSKwggcf86Vc>PtgY|YC}5!2B{T9-+UL^QPBhgKD{wLl8+<I%}<
zQ90H=1B`ep;UVIEx+BZ`N^vXV%|ynKrEY5%$q`-Du{an^*%bs_HvU`Mrq(36&r-pn
z69dgFbBj0rd@wU^tf38gyAk}!mG#<e7iTUVjy>tMmmm03d0@&N4U^85&E5F|QHe}u
zj%J3_%Htai88_|i)g~251Q15QYs}UlgyA9$<=H+SyyuRZ81WGa<3U1-e{h489&i^%
zD|t4D1WX#(sW|Gu-ani9vwY7-(tH&eRy2-%*3PzfV&e!&Vkc6@7OXIn5aWMY$rgkf
z@w+b(jHOLmv}a*Gr!%pzLn5fNQj8z$zT|UWt11tiNZ#(97~|U_ohR9xw!h_YuhV9!
z#6_+)eD&`(b#I3%K}(rM5Mizz_6a5MgmK6oXK#3^ps2aL#xEk#ZpcrPcofXENXlGo
z7h2g}b!Wu0{E*nEs9L3ae7<pdtpSY|@7<alSpdyD-GK@WJFc;y;ll7hvtLoWboN?8
z;HFvsEq7nr{lN<(_b*qW&>w*X7HIV>Ds(VTwe{6Cp;Gh5%E7Z^Z)4}ePtamj>qL)q
z=S}Gnj~=Bu0nTT5r6Jhpj!*p7vj%w-W2rA85Y~yxIehGU2PxFZY;m-Y28QgsY0%>^
zeR6GY_1Q-Yd3oPW6I#y%j>$1TAJTb`d&AMFh6*b&Ay>bj>;HmoPF38D@*l}?enAx~
zPGHORxqe<=>BYyRk`V)eBYU&@QJqyQWoPK8u;C&rciUW{T0WA5F5jIb3oGhWC@IA`
z`f)Z2G~UNId%pcV@4{ot@P-~c!5{i2=odWEe>^S%kc!Xw1tdK39Sklhr*~z9!{Xz^
z44+0qxZ9ZF(&1skG<lPDvpYODtD>m$V@xN^y?e`N<q#1+2L(Ajt&_)HA6%r=Tx=Zs
zrt0*1vVT{oDbx4M9eyNd@@u>uKM6r~*RV)eH*=;V4L}QbOgR$l_PyHSY*%_kuXp46
zdES|d$Z??Z-XOpyxn;<AyH{DWR7Sh_baz?FFJoCY<jT`%5O|WnNlRC4;*_i%|EUVu
z$3`*@GV2}8c2qKoV8;~nyJT^Ps8m=G97+v><??ar6pMHxb{Th!oGNU!l!>nCOo5$b
z@cqbq{HIZ1%Ouy(U?o<*cMbY;VRluyY@!GV+9cM8P4D?{XWBZZGcJsY=%3d>vS+ag
zrRl^MocQ7k<)>-$m`*numYw#(#TvLz+={lx1Jk4A&k>Q|&n<_p5s-%tB~9nqI<OB9
zX!bPBTdYj_uh-n%B?HfNYP<0rWv+`PiuuP{eXgSerE$Ia?H;GGUu`=$=psig-vk>8
zMO@&Yj-S1(9K7P^!2_H56-r>LqZU=;^LD?B3(-QEljDHd0p5oC!D7dSl4E>}Bd#z|
z0y&v3^s*_O?EPtUE3u`ooQhBlUl^zLqPz>WC^NqfCAFEDx!9s%hnzLWJ9E3UR%gE2
z$kwMX&ZOZ6hA?SDk&{!_vk*<&tCgQ$zldw82|AkW?I~Mx21-v^>J0u#FbLhlnHo`c
z>$*&YHp41NsC>Q_n{U5p3dZVqR$*Zw$uD5ts9sn{(o*bt74gu?vB08-4qGoAj*0p8
z&uC9feAVgFu6^XxRMl-lV(;Ua%w<d@Gb=kmV|Fxi-4tQ)L9deK>NGiu#D@cF0q3Me
z9&!ee;*0$fUbKtXeb?I^sP!Z*=6vwS3oWI<J%Sy3>zi4g{<kk2hes@t$U5OQZjXwQ
z@q2MZ0R0_6gD038YIs9|m{`BZXOff{)w{Xq`sa|eJL|L^sKbmw#6XqREj<Pe9#Cw@
zu%fwMWiTbjV!ww`?=Z=|ux_d@A^qIxpise(hy+ilFf++fp^)ogXmCbespEkKk}z4S
z-rA2GbG$hjb9Q=Ny3o9e2V_44n_JwEU<L`sz|HJkPach-q4HZE3FH~KNw0%ALkTgG
zI~wsBWrd!iGQlN$ZvR&8(F2FZi67`mudPTF>J#SyPc_!yQ_0A;$m(XZBnPth)7=%s
zg?clCi1p|V5*;y%_9n0PH1)C+7yWgeEQg~`q27oZ>%qJKxhMA3qs>m!h%VUU`6XC7
zey8n(;n*em=ZOmag#8LhXSGA#zFoo3{`|Q&Y^M+pB4&x3;NT4chxfBL{BKggAgZJ(
z1Jd`!d2#;!{ze?RrFLU6uM!5a@;whm_S|c1)qORNk~D<Cj&XC;f}UbpWy;Pr7sYhV
z`wSGF??%;0TUztVPzSg6L55Kky)nv|llogQHWL8e3=#n9XHOkBiJjw#%59VtLq#-+
zuq_(2z}HuCe^)O#<j8H1AFN^7)UQgb;Mj8kQ+KmN=xG5CThw|BR~OwKBvuQP$2gCr
z9Y<V-VfDhTh8`d1;BwSNUIE%^rOvK3H5dxJW8I#iwJ4N87^lxFR8-<3IbbfP90xl)
zi?Rx9PhlQ+zNl$h>jK}M$^+;4>|pOg_ZcL)dlJ#z$+}$-01A|N*=Q|yGwF2)nJ)(q
z%Rx>Jn0T4z8N<r90Qi?RE7JL@L}RAN9lRHgkvIOA-JxI%!+YC~U#%QfI+*9`iX;u#
z3vHyi5iGS7vc`W<iTC{T_Gw1dwfhQ(@@{R!28`?D=<2PD6aVvTm-YFBdyT!8XQnQ~
zXzsn^I&RPf?%`MB4Cp6>NWZfzqHnYA(oMdpS;;tKxp2QE7^re7@+Z!+!;X3Xa?%)o
zkB*mH2cMwwJ_l4KAbtK+e6f*7;{NZ9Pzq~K1mM-qW7)S_Og+>|<A$eZ{riK`TsOzX
zC?YEQbVVhqMOau6j~i;;a7YW3mo28HP*7G6TVY@0<M<c*!V9yBL=*9LxaLoPS5S2v
zd&Il^y0IL?ni%P{IL)FIV_UJvj5Hd~0V&#=N`iH&7)J0=`-Av{P0dBtKP%`0rJ1sU
z?U4R3o##?nvhn`WSnT_spUp*Ty&3tpww9rRwN8f+Z*Mso;{ME@l78d+CYlJ7^4KPf
z)vpJM;xbm>e1jAuzlyK;5*BU!+W2fko3C8+^ajkrARNDAx{4<BJK=F=XdMlp@mMGg
zBz4?RtLd5<03u>e2d&G)uY&Gw_>1a~p~|dBMw0ECw{U3Ec5z#zJHPkNB`<LXd6ooI
z6+cpaN&?;z)?CoBqm1n4ovT)1@(M%Op#tlW#DnVd=O6t-L#8PuTR>uExW%Zq8?$^o
zQs5kPcg<pOxFA##8p6StWH)9#e~JvvLwUK598sghig8mLV(=I`4XV!uoYTRZNSH{?
zV>Ss5=Dk3CW$KW;)LnH%L%Uz1mN<EWi!_WDiI>L>%=ZmffCNn$D3<U&1%5Ty&k%<=
zG%gLo-mVwg8|qJC09kLkb^YS%%FQy~cYWqj4zeH&Yo>!ZAwOGvaGtvye<*$QI7f|8
zT<YxIJ#fG!-E;5|bL$gJ7TrD1fERs!tm-gr!Zbz#UBODK<b3tmZ(dHmMwm5&Y$_UP
zSMxZzu6^c}n6FMDNFE_Ja#A}r1VsoP_sFsD@O1|X^n0p~_bpKxb2La8pSl-DAGz!>
zl{xr(1$>iu(-uh>j+O!o2$S_TBkNV|7kqi9bsRZs(p)V?gcF>2_jj^ZD^r0>TYjvg
zUa_5+fDkA*+uJ4EFRaNUL)K*UWNu&Q<*=XhryYEKoh)Ler&X^mnr%<X-a`6=_+}8z
z@`#FR1ISr3yuB+_QQyvqmzG9Lik^Kr!u=E(`jaRYe%u7@oTSfru`apdA%aOZN1&=<
zc&O}ol4^BIF9e`XKU_rjqG1TIUJrY@OEq{bw~rhfF15S++RECvtY7wfJe1w+&6*e1
zErEEfu~_pL0vEE`tXr(5uFamAr2^+;M?Nth;}w<3TYg!skT@RY9$o97eH*$~H?w+w
zbc~d_Uh|4NM`d;Ji9u(r2RnRy{%BM<Lu2`R59HbgSG@vNe0|c(`w&6Scta1>miu`N
zow*f%wdP|Ua8z(JHF=yPhj1FZ77Gk;G0zt~Eibuuv)NZ#!#utJ*v9PLsOOiHl0t@{
zQ%SQ{rIKGcq*z!!#l4KGN=rOvQmK+}eqbf%PFz_zm1qA;1q0r%2N#~EC!CtaJK-wy
zi%DDwmPHHX?q*}$=7{Tx|LUEOukA3GqQ2+FOuD8FL6uuoW@_o&S#7|;D$*Ijp0g@1
z-|~SE<8&iE6Q<ZpuD^@3q>Ban+69(B&cn&vun2!z>M~B(Y*T(eGBUyJs=E3WT1%UD
zCR>XNsr`s358I>HGA)qY?rIBfdO$?c=4ntHDW9jgU39+VAp4BoMpVUzr}n1i;+n~2
zzWyWKhtEGV686GWBA+z4L%^S<6z(dKtZk~QHvhX`KacyIPxhXTSiYJ^9c($MFz5DG
z!Xmv`X3{|>R_ZVa!!@DDL3hD<^8}S_7^`bD9FbLpp-n&NOEChH=~045hf|4fx$08$
zGl_}5ehy>u8IZXlU9xlqQso$SQ`RCWGWcudn%4FKj3hGA3brbk<nHdiznWHL>pmjG
z7X?Yt2TZ+{Xmx)pf2StF#Ol99=nrTgs)u}6$c(c>j=OQpnCkkrxw)x*y3vd7{~0~7
z6Y4V)5NPU&<NyXHz^t@-!GB<5>zpao{S%exHc!jLLkRQ1a*5aOXi0q&KQ}k`i*$^@
z7u&TC|CJLb@VmzCrVOqKi4&6`u*~L$(2y+0c@bOCuPjtL5f-f_yRqU5UQ9xtfwk>+
zslBx6%IcMzt!XinhMf_7?pGiCQ9M?ghPnzijMT)Q=bD{ra`UQLD6m9}*arp-tR~U6
zHmMmhzceko*QV!7zYGj3%vHBBA`spNb$r1?i<HRZd^lz&V<t@r{)x^@f_5-Jqn%P1
zBeEVl$&V1o>!a)E&cPY4^mBOp(Q4nHfpH~1i3P)G@|j~`xiu3HV%DwTfRO-<0DKc7
z3+$vmnO>RC;;scv;l($}B;MEH7pMCzD-A6zlWx~5K!(DDc@2f7LzKyGzb5k)+vny8
zAj8Ssfa^H!qb+{J%d7T1i+g8xJX<<gEIc=t8fInQvbnP>_!Rz1Ma9HoLDo)?z~#!S
z{fjhO0S~E$<8L^s+-u5ycIFQsOFy&iv9mkX^(4l*dvE9E8ykONq;C5F2|+);31dBr
zNn~JQLf1;D=YV;0A;v$HwP<|Ggtp}0*~(LDk2euk5l&Wfs4{N`frUY{H5IO}G`PXh
zXS@7{D;KHV9^7pGW|N|<?{TN%!xTqLNGs#pmONPgLv|8HA<K1tITpV5(wAsf)tty;
z!l7Ym=Ln=Op}&iN$BTp%N_DeeDs3>ml2OKqR$mVG>pq=L5^Q?bw9ka|sBq|1+~2R{
zA;i@jCLT{&TAUT-O~b^5K`E8cQfWF3TIb+lW*VGXe9%ZkfRR#r>!*t)H*M{=z&i*J
za47_!v+DTbq7x9~D?2;>{V|N`U<d{b3?(Hc%#Zl^TaM7~_11x}P1~8Z&VyIC@np?8
z*f1+^OkhdjT|W!-jm(rL6LW07G4WCjwUzIi37mt08AA$Wb<hxuYmdvZof)%a<v&Ii
z?3rXy^KIv12oIausIQ^DW;jHe*0$PR&)$=IP|dBtd}?fhhrqkPc&16psN`z2@32th
zIyk<kY+k48dF<>)BvzmGB?~4+P{Ci`+V|MC`AH`w5l`)Ffpzn{Y-L^7XocGy&_4AB
zHxQ>68wL>SUc->}KAa2E$DAB0xkuB1Fwhp4keG;pfsrbsp)LalBbbT~^G!zPIXpZ(
z=+lE24I#>9*#d+cHVzJT<8B*%yJ9*k4{@y$*(VbXewdbdjfa)1-3zz1^0LW8%Fl|#
zjmh2%r!oy&OTl~J5R5Nq^rCtgVutgGcSo3?26xWRkAK-y!nE`T;YU5hZoaIEWh8Z+
zURJOtF5k)k?}vp2i~T8Xthl%s4H+3(&%j_xNpum0SyffF(jHu<wqbT%UXc<V986?X
z)GFvL{g}+}etg=`I2|kJ{&)lVz``QikmuTF65+;37-B#+P<sAr(0*{Si8G4q=+HB_
z+_#Tk7Z&zKZNDo-YO$`c)E0A$=$z%n_2HU4{_dWxb$!#waEd>Uw~>TK2-hp8Q%_wD
z1BRX<1$VvJB3t&-U!&uqnD24(JQ>V&{<tmJWwY<{sKiNlVdeoxdugVg`Yc76@LiqA
zxfaOT32?c}HRE7qeF3AStegsLyOe-<A?s`GFZ;czNtXs->X%+p^6kV0O!G)&QVXgJ
zJ`E6WV9OMk;9FvB$)&ewu76RztS(b*npeeg$}RprYI}Y6*L2+j%ipl!_0{#(PajxV
zKM$mTy>|~aXb+1vG?Zf%e}~zyG+uq!<{c*DS}3HbL_i=!6OjsH&m+5eEoyEnQP75v
zV*pM6w>$$1QW(9cUe{Hkph}j3>?Q(MACuWKePBlDQmDVMu%KmVnEf|cQIaN#jFC~=
zyciQ^W_I>dnn9Sof<p8hcWrHLfVI3m@YrerT%##HIW`hbHS$xTE)U_o<CZ`^FV9@S
zGnn*Wb#IGHuu<6!I8PUOgJ#YIHX`rOzUg$5Im)A`ZZOo>yf`8e@DEP+(Y+Y?<W!lD
z2lmLw<Ph%Amd*xtjMh#vO1z+?AHyt;J*?%6+x5yKjcd&z`=a)@8IwEjs@iOpA7Or2
z>XMhFm|7MbBexawI9b4&zQJ<8InuZ9CzGQs%=<>u9|iYbZfa_(q^hc@Tn%(9gV`zQ
zI5;mgHE%S5Dj_wjR}TRJ;hSpr^fVqETwg!>J4(uRaK?avDst3MU^Y)nR~H<M;ZOlf
z5+R30%hFQQkPRCX6J|@kmx*Fpq5S{p>?@<9?80`35CM@C7?2PUL^=eKX6Qz`yBq12
z?h<Kf5a~|o8YKm3q$Q=hIeXskTW6i$=a;VGSu@Yx``&l#ecjjfyzfCLT;9;cxa_l%
z=j=}hZ;IC0L!3i{pRYZtY$zAePbEhiVz+EfVs<~_@5Z(SFsD?!XsoNl(}0EB&v;Og
zaeAM3=Cuc0E>X#RLmzv|x5hm~^alGY8tjW-YT#3L;<4#m@)n)h9++Vyzx19gG@*ZN
zfJsPEQ4#dGKC87D?MLWnXlX?N!41RiV2sGFzu+Pq%H#OLZEx<8zrTNKTAI=A<q_oX
zS~fmD{vqgwrD9`KDt@(dzBf<L!qR_tb5ZTQsUY4x)$DA6j*5JHdoqfPj(T`>gajeu
zbwQtRbby0LpZf}oVOVY5&82YdA8f3II|z9_rNr8elfJ=bXt=Q23{;k;ZO7IiS2dtK
z(wfzDytK^U!Ot5sh1^R?^_J?j;Y~CMz__a9AXKPT+;6%b(At3LjX6)YAF)H$0}ABO
z>aW%<w+kkbHx_&#qr;KR>@G=ay-iWViz}}2%@hGc(t707RPOcC!+jWHq=02^`Q!@9
z=f>22e{Iuu4_dLoy5*myWhEyuY9K>ON=ks-M7Ub1`fL1rYtR7Q4H~%#g)|O2+z%*p
z_4JS+*?!lr_m?_we0_ZZnhSg%3iPf0mj)I>cIoYK*`LCr*s)vY4pFJmOz3B4%bQ!_
zcGG!>O$DA_i7m79MxPWlKpY4Wul<r3-+z62`mS|#@)70rqxUfJa5S**Ob(VYEFH`v
zIw%W`6=tZUvII4byhdnDlZa@3jFgJgs*;!;YaLLd&_MrTOvL8baB-+G3=)>psuB?q
z)w8T_@9bdqr;a!5u*-e@`ZblqEOO3kb0o9$3?U8G10+XCiOSG?s#egk{rMgn#E=Fc
zEjdVr)M4sBfAjs1zusJ=IP~8_q1LFhlu43IA^LY`9F&EHU&G@R?9J&qqcQQDF(JRu
zy&ua9KdvTZF)uJypK<thIW1b^AKnp|bl;UaUf~esX?cA22~M9VV_3lYu}DitY<)rP
z_1fzXsF0V0T)TL(>0j^8R<jA>PGk?geW<_mntRkUzLg%X?$vQL`2K#|bv^gm>TB>;
zAdcby@rAB<Ts~F7*ieYX44(%zZ<@}Uu>^y8=>6C8Bcb`kJf-()5z;KaJmED?1!b5k
z?|wo)Qk|FBSk00|t}wfyLB0&iSWeB{$KW$Oy<YAm`K+dH+}C-p8wQh#idRvNw3)R!
ztf>l-ea=3;f;+yNih)(_{tMM3RcGx$lIxYq<cMj1x3VQBrL#uaDMeJNs8Em0LG>{H
zKXf=n6YnV}+5UxF(9WID0l%qSXhN*OufdWa<L~hf9|`p<g|jQeYSWy)RD8m=JW5_V
zkzz<R>Irf5VXG2?1wLM0<22F@6AK^lemIu?Lcv9leL)&2U3B40j!nfpFxQ!TSXUJg
z&HhYgpo&-6*WsWz>^09B+oR_MaVDujp!Ez3-e!DtEHREIsB!Y>pMpo*9i(q`Pi~!a
z&f+^xZz;=z9Ce1LXQ{G)poik<bX8&Srzi>|m2m^j)py7SR|-96t*U=zBgYp05Ke_s
z7Z7b4%HOV_k*hqX&mFHKPZ&#GKM0Eu)T`b$M#UW9I$@K6X_wB2G)uAk5MkxB&_s`k
z*LdIWDivG@HO|F@Ty>Aq=n2>`rKl^1tKg_8y<`@Lt%$m?J1Y;x@_izjt#Zbcd)7Fc
zwQg#R@k(<_b98N6vnVtR2XelE1K(SflXKe(Vlh`>o8S~y_oQ<B^DZp=Agk1AY;;2m
zBMD7S$j^MTf9>+RN8?EEm!llNU-%kucy`w$$UZLoST}Sr@Ev>6qbW-Gi~7y`!G!o^
z!|r0=rwrMdcA-gln@97%UOTea_ao{T#<H8AFGhKj{m9|t&)fZUKPK_j3_NjKzAr?Z
ze)Q3%+1-&@!`%Y)H<W=nJkmeBmoM$`<bwq9d<!v*_OB;#+Bv#ah&Xg&j6C%E)SZHA
zl!KVm$oF7HbIF?rt-)^T@0#AIXE3$&JE(~!v9AaU-qi4-6qW@6<E_gL6N4#N+|l^U
zJM(*%++Z2mWPeZ8Xrv5@xMkjFFzsM2BjTLVO_QsS#Ld_txS7VrFFJYL9ip8tLW`PX
zBx0Li(~*HPK*Vl=3ltTmp9wo3dT%cC@fvSPqbm2QzR&R+)Mo9y`;@2=t+Eo~$n_S!
z#lp2TO&9zlv(@!^Gi@OhK2}2$yp{ex8FlID9R7UMD~H?p^8$KMY@{v}7D>bwMNJ4$
zYGwcv$m7yc%!4uXNd}=!=%wNYGN-VJeyfZV*YkEJ$D}G>tiF*3zBm9Bn$x*;n4gub
z62usKzDD6$(mY!Y%JI_;6Ad2$in(aC_!#DH_HF)L1bK{tZEi$Zoz!tFx?$rCO0YsR
zA>9Zu1t(CexP=wxY=rUQ!~VL7ONhQ?>n*@u0J9LUUM{R0n+hj6eD<yzW;o!=!%RV|
zs%`G97dn}7A4m}wRxZ**D9eZoo0z}6pjB0st}eKFg4o)n7a%A=I*oS<tvO`ArFTtc
zTsZyH=SFU6>0U@ne*dC?n*-9Z6cbjT@H#NV3JsrXwDjM*xWlGZj6mDAChWq#{NR$b
z){Yf)=tnhKi4S1Nya$Ok7D}{<D?M2v|NTPa&Eg~U(^K}o`gQ&{TEy>RlX4s%B5_Hb
zo+zAeK)1&d{yCzLSrsb31~pA+Z820({T$4SRB6M*J$O?!<4-mQ6{1#S^tsj&rS0!x
zWvmDVNjTy`>N{qIu<J|7)K-mYcluLKOW0$oxlh29^NW90JxlL?q!*uQ2euwFKCSAo
z6m^mj+#!XE<4rH$U9nA4{M_H<WNHp(@=Uw373#079<aJ%FN_dEKbMTQYVcd;LJxkA
zfHkD9Ory}%MI%$yYdft15G_ce$RuG>|I}Z+h7ZF@wydolKgq?LUa6D%tmL%3(4iob
zJqqtn33WnD#h$&s;3sE_o~34H-=73|W~J1kND#(5OHCOQC0JiTaFDy>jUP5zokQ41
zTW9Tz$awAGFPM*TI(PI%n-HtY%<+m`%d8K&F&FVqN&BVDH=g7BP#OrBYW-Cne3*-l
z>NQOPA(2tM%46v9Su=K6y!syevJ`h5A2SAqK`1$1i|KT4jj2n{{7WbY1^Df}--0*-
zIKG0}Q-#!GgAKG2d95;$(w~*MptP!F*Or3@@iJx}?$}S8XbZTDl=qjNv@rUcy?>_=
zQE9s|abYBPb8p%254h4ZWBR_G%r*HVT28J*onSn@!pO$S)%~fxt=^3SrX3{zwufrs
zH$1Q6G=-CDPPHu<SzxKsh(5QZ=k4^=>fiIXM^`oP5BI-a5oR>rkp^_XGD{^`er)1P
zN(qyacY7t7uc;g`&3A*C!*cC_0<wq@D`43$Tf-q>*&x+)MPG2oQ!d70J$Hd$WGle7
zDne%JjLEJq8>VO82|nDvJiYR<g^K$>#Z}HAmws<agKI1U-~Z1V&(+4+A)WY&UiY@X
z?_p|Tl}nd+Yr{oGdB1hZ=3KBs(jEan)=zxU8h!Ge*l2z{g{>lneeTw+er&VJaSvOW
zV$(S1`*YplzVs(q@#<niq92F-^+ZBcBl{M8x18PtTaIn(g#2J(6p1e<uBjacADw}t
zC4qIp0l2%Yo3YIIE2!N$<t^C<NZLisui_%U<oi>!SdHDDth3*2W~z$ls82gw8<!8?
zLptA@Y*iw`tf^5By>+R}<m7Pwh&Z?P2IHy;^%?{yDN@$*Ui{_#Oca1$B0<l{0?$(P
z@B5b(#oq0R-_TnB)ZIjRW!Es^D$zh}rXqyr@=UIky_!|*Yv>v8#zL!4@M3#Zth)MX
zRA9WekJ~v}0SCz<<stQSF79}V8fz|FQLPYgSm?ks5>&NAgxcQ)T=^ZW_DMgl{_y+#
zA1S%8q~_OO+jrwS{L<rSmWKQIYJ*k`RlHNSKheOcl71e(6KIT%Cq*PiZN9_`#+;{B
zZp*x6Fzx!aV&D)tL=-a`bi?vaJfhkAU2$8!efx$Elnl4x#(r&*yxD;Ypm~`Lt>SH6
z8(Tmd*^y1K6ptgFxUTTd$(kc|E@}wPo}MruK`KW*@Kor|B-GWZ=x*;BDTs)y{(7NX
z$uq^o;8h!9e>$#Zzui*!uav35C8hdss}nvv+`0RMSvO3DRgIRgNzfhz(5F!0N2Kqy
zzEL!Ys>qJ%JFBgRKrZ$xJkIvU4xdjvMM2@CZgPM1IawAr5g>@+m1`T#^HrePsEP_?
zxD5^F=$SXXn1hVCSzeSvy3L`NWn?U@VYrzII@*yx!nU`z|AxES4LKc13r<tvjWevP
zeO}pE!*Z#u37hGJK1wRo4J)Yq7FL3mzLi@NVR>&TM=?p@dpp-N_vaZ1V`^#~hgbZN
z&i1<$r+pZ{z852|uddz;ZVuEqxM+k};Ey`V8A6hnlM7`oQUWUGn9^owk%b~WsVpqj
z(V7yGsaaoX@vScZ`pJ`k7ZeY&esYD(Z(%#{J|(CGpUsaL-!;_YrjZ)2N*TzJZa)?f
z@V!0$r*>O+#}6_5nGK*syW)0iZ*yJ+@-?mWxv^|*ZeT{JMm7!E?tXV7=zzca;Q21t
zk(#Rm5^*(q*ytJvQeIC&Gmx%Hl|D;LjNPrl$ErJnp}Pp>u40}kP3BMusM_)IcDg%i
zxa^Kmkoznw?{1?D_zLV^I#Qlj2&z_|RExA<o*XJ4dhkb+)`CqgXZKD;MKqdnn&9rn
zySr<V%tsI>nw<^p8F32DsV=hH9yVOQgCVJfhM&*)_cuJ5dAb9Ea7LWpJA^b;EnjUk
z7!f6pf?!jK=Ozv!Wh|ePQxx)<aemP*!ynpq(bJ4wq^^6WG{z+K)MGoQOY`td4l8Ss
za<4Trx2SS@*#sO4yX%M=Sz3PViwd34tY~T?n|HsD$!^FDlcQ5?VPGhLKoWkSv&J3w
zb=^HVJjy}BC1GIoNmW-0UNT-g(y`_L5GhMa23}?Z6es-jEW%X?Z(ZDziEB5T42_5^
zk&&~SPWh+gLPV=d8c%uw=_nHl9Hn#U2AkQ@Yx+upd~@sQ`HumH-d|mdfE1~?`b%Nq
z>qTF0)YG%G!}b0Sw%bBhJbqJV!G~4Fzr>$~731Q53bfEzulNLyX2&R^;RNSP1*b;K
zwR+z^TNLoabU!&J^==N{`aGFn^lS5^dR!<Raga1QV&31SJcG6{tk;Y!{^~uf5Xs-}
zNnhN-uEb1xlt=0<y4=*^_itVn`8n>~n5FvqPe5J~M>N$+G&#fW$HsyGf@6mwmOSpg
zt&lG-MPiY?xRcX6$crm=w7IP(Y(I+_M~1!0r<YR0C~w1F(5qn?2`+5YGH3gRLUJ_@
z)|{j<`dd6jg+U1;X45Xii-u<Sz6j*~d5Iv&VwcuX#=UW;ZaLi#X3?8qEto1&l!ORd
zY6cFpA0Nx;Mm9Z#NJ;<f{_*}f+eHjHI^QeGCc&JJSALiFXsvC3;pa8AWBq2h<7Msb
z9wabdU#6Y;48)M@F&ShNG*d%I%<ZVS**18|GDR_xu&-Ti(SDd>F)mUT){Op;`q&Ul
z1o`;)uU!3EqJtR(!rL^D3{keXFq*WGJUpI}PknR7ckB5^oBiI}Q%R_o)%(fKs~C_}
zX3aH`!RqV}Vlq6G-v?N=3;sXx$2bnp^|R0YFM0)X)p)(|j)u&>AMb+LtP5~r$zs%Z
zYisW|kGN)MAIkFVZEQk)y%zzCO;l9UKy__RWYt+1+vSBzP<c5?i7Cg{$<?9VKZwvP
z$ue?5=<9cJPV_8D58o+JBINFDd#<f5jA8{VSPpAy15z@X=XA7%L3$GUWaW~3)jBa&
zFN39lJ9WDBl^5^3ycnhM-BtYHh2|*4@kynstCzs=N82mE*y#R1VlN}>SCqR7u@&Eu
zsS3J`F)5av`Up_xJ=gMQf^@_3RlbFR&grZNf`NgTsc+pOm!qw+{rwNoc&`~#zD+PP
zCcfY}rho_=4BLuU&p>rL($MCMBD8jg!@{FvQA{8vSXZ93Tb5=aIB4gRe`-Q_-kOmL
zTK}u$FsW*%yK)i#k%I(k?MInq<vF9%_mcLOMc9|FJE&METj8hOuXqwaJdS3+g-<_*
zo6ChnX`ZD;zCo#3zqvL>WhhW)+POwXL^TF8iwr8hd8{S4I4q|q?!9^!@VqL(xZZQ5
zVJ+R^Vv33)5wVhKA9#g?nDICsVnRFvPaR~5aY7OkX|wnfaC9F$-FcFk=A&=~`O(v&
zySo3NIxo!xaM?VF!Hjur?Zi?!t{#aoe~F7au~^9$5vd}sFLvjD{jT})NakfS*}K>-
zq5a+ir;@eyH$VF)Pz|sskx>K$d>mJ?`u7*Z#3f^CF5#IxWGU!2Dg?G3R!uSj=}5E3
zKOtn1@*k5DFhY4;{|lhy+4vQ?c`}i+nRj5D7J>4hCzc|KHJ{B^QzN|Z80lkS;lrs6
z$>c8^Q`479ub)6zMv}KqV3Mk8KM$9UD#qIxH4avLi#4~lkJzn@Unpcoz`Ogr*-S6J
zS}*RAZha2~#b8ulPq#v!oS3i9b$iZSj<b1amM*IMOtHRQt2+O)bjit10(=P7?_=JY
z-*;Y}nuZ^viZ7gA(5YAJ^+VOOc%$-;Ke#woi7vUZXvYLOnz(LxN||x^EKADL<L1f3
zl@kq3OkuM0{6Y8(<c&MELY<pOhhqcmkdI}%us*@(&(9b;wRHx)<2h<ElNvNev7@6D
zMa>F#WOj0Mj~DYh_4j}MzS+!oI-3({^*eNTS-5=Kf7?n7PqYV(2ohdy-DA^5)aE}k
zE}i}iZtbo931*y(?joN<f!xbUDbH$XYem#H9t;e+x;RWVNuAKA$T(daVSbStUbfi#
z;mQ+Sr;SL{f8k?}<^{`yZD+>7#y5oUD6>!<DjN=2d;`aoF~-N&8w+?{YgBY9RV2M3
z!ZMM^Ou`rE$6EeB8?Cd+>9eIRE9yqC<Q{z)Rn2i6Me%7qbZ_O@VU$a2AoQn*k+>qj
zxc=U3JRMvurFl$*{gg6nTWycf6+Hc>9gnnA%n+jS#Pd%ziI(+XulYcudqeIzwRUN|
z5UdO0GiSmEj?;e?)fc0WHMK@^{23a~p?#Jmf}sY2PZMjGDb~S(9u}m@<A@0I!cy2G
zsfItRH4FoCkKIvNH@c{RCG6?8Tq`3>OV5%JS6<_--M~#k5;D`Y{Zc=(>XAvmT{p-z
zjxLV~JiP1sA}=IYP9xk8@7#YM4M2s^(~a0#);LFPy;M)de1{Yp`64n7t`rJ@?o86!
zPS6{V8O@&I?$&)wa5#Q-n%<fcnXD9_9~>#FcjMY`H7oKZc~bDK?!|Z9S8l;wQ+=c~
zVeW8;4#~VSIb@+FHz<2qhO!ojrFL^r>et%|#tjBs`9++lgOfwpW$OCs7!Wpgs~Lkc
zaq;y_r}=ksY3Bl=F}L_j54e#x7nD8anNNv^a3uct6R)1`Zfoz6aNr4YqSVwV+og>c
z&C5TUuo+ADbzFS|F`QIN4-pG*5ZfrAx!A_X44%pzM|aP5)4UvJ>Ki@ZTW?&I7$OPQ
zr|}`27xFSAKjwJyOz0&0d`^n7&^62CcPl0Cn`)fJRN~;ZSN6+MXYi`kyD`lM7ij3y
zf02QK%8=uES5MDA&9f^!d0p*%sh7%RJRXFPvGpHi<6vQ)_vc6p0)HGLtl0j!$JSp+
zGb45RW^g)QOLs`CtiZL!Kq)+Um+Z3MHMp>vy+-MT5-&Kuf8P1Pf$5wq09;@iF5NkT
z{?BJ;N>(4Mf1qcz@iOQe+g$CveEy2Da1RZJQs@QpDsYX~5H{tBohBDbxwP<<h6ahK
zjSF>?^`*(Zj?h~7($A_!f}YVva!5{H9dhlaJv?9X5d)mwoA=*nRWes0R?J`a<j<BH
z#PM=yU-${59u$^Baz&@9cDzb%`MtbScjn3cN3%nIcsd_tE*YMFU#OdRq$M03`uK)T
zNvHpE``j4gF3@gIJ&XSd#YZ(!G{nh3`PAagO1!Exd!Zhv=vT<V06K?HFrdBu^<8H^
zk6lHzq~E#us&-78$N6~USC*5-t@N}Q-Hbdzgm%g7TkPfRr17Z8frN*;#+@bL9LB2i
z^<rvKVqzY#aj~O9Oz&($bH4uNPmVL1Yum)9&fj0DKSJ7CS&LlG89~S1iN=?vtq_#!
ziM4qj?(wTiZQ%dCK2)vDO;Z2nM@C{LV9ddBl#_!ivTx58J0V$Ix1VJQlj_MFj_gso
zvEQO|laT8|0SgeV?)?pDB_RZ-!o{e=`;3Rayd&sy{j>O*l@*@h(2gN1E1R00ZVXge
zehdsKzji)c7TH~Fd+yMBga&%+3O;;s-W<u5jHAHC3~_XKhXchbE>A0YI<{w>rE!n3
zeO<Axv>u&RG<pr=ff69thv#e8CKG*pC4_=(f@DO2h~cKx;&F14^dX!4O_UBDt;O=1
zB96%^qrr;M?{;|g8asXYXG7r|w;6#WHAGh8{i-c8fr9*>YpZbtYO&`P1mfVWQ*YL~
z_ji7+wuZ|YPprt7$cw_u2OPi@RI3JC4)*uvLo6Lz)Co#{CcdH(6r?Cp%<cz`VoobS
zj3SM*Xo^=hnW-z=|2_gV46oi^op_vX;puy>6BcrWhK70oT1<98(m0gKM-1+E;mOQ8
z&u$JDzK7w_NEmj0L~3$cLnC6<j|L6LD}R3`YB!Jc$A6Y(8#m=}^K0r5Im2(iM!~>q
z{8e5`(DIB}<iJ+7?VtJ*T3r<zXx%FwxX*cURn`?g*!W&;vd-d?OVvvPiQC5&nV{dc
zi?Px#=I${I&D$cVz&!72=@?CXoh{Y9ml-utx<}XEmusX=h$F)~He|VQgo5EF`Y9If
zUzUzxubnBoJzey%*A@;-;^4fkzsWWC=xMN}h+6}Rec^L@;LM0h3`RCRbLw^c0J@OJ
zX%!U^=b{M-2|*B|+w4F^tIVK-0vj8f!4(vi)pqmTy9?imMMRF1V%>LVkid<SZo3Z&
z5cE+l{@v#74w!XOfap&*zz;wmI*s<?fG_rNJ;eYS0(5<xj#kBO|1{x=hGM;c?f_sJ
z3=H>Lti@GIeuJ`+GQ!`Zyx-1*Rr-YPMPyVRhNY$cb|on(SpW8Ez+sY|O{#F+`rqDy
zKaySxPmTj6j&4+I&^qOAkQjBxQ~c$FSgN45_iD5~6#|=TvFs+={zIvYlw)s|t1W+y
zNWe#cw7j?(hgFQz#zyj*vKT&HE1iGGTRXu>q&wc8pR>rn9|%4^$Q{A&0)4)KL(}j1
z_Bmq5ih=ca#;9K}UBoFhh+F5H39xnJkRVs9-$a9q%q_!HPbGP>Q*~vdk4=^75`@(&
z1SQ5llnHo}GCqE^5`!&Jb+ti@DAm=pJ@27zkK*9t3imS}Ve?^h8c75GDW%@G>FVsv
zvki9738MOB<^d!lEh~$H&t)rqju+hgnn5)E{MyIeEG#S<jCw*zN4dbh<OU6$eWSiN
z=Vm~bN|~Y7_r{G5Kf;<{0<Z!H@w-|luo4p!_d`uC_7_U)ztq=r$pRInX!c}4GJJlp
zGzt?H)dD2GCehWPkyF;L4WT*34%nepib$WO#Kqx6g@-G(*3{OLm_!SB912@~&&<qJ
zZbL#rW9x?|O1*q)ALX>xUk$F!z)yhde_NpGv<t5Jz>x<B2Z!d(`JPQVB@q$$BQP4j
zFCCSqdBkm7;+6ev`+u5M)((8^ere;VnVZwu-q&x$x3>#2F)_ub75f$L4-LtITSVY;
z3ilcs8n~vKUAFPD$#^~jW>lc1GNtZ`6;oc$40@22)YZ{wXlRnwm<-y<WK&qwZgrKE
zAYjn^9)}Qc;8L$&$^zg!5D1ty@dIr;z<z6JV-p2f3xe3uK<EIp)MeWBn5F9F%C8L;
z%voCxVQsMn@`{Q$baZqK^O;}1EdTvmaCrspM`irw(X%QD`k*$yu1b<pQbg&WbuTSZ
zf-ZH#Xc6j!&fZ?s=}Lpj`ikmmpUEZgrnx0DXLtg-fH^lXF_C~m&<8ysoQTd2(^_^o
zw_yUyT5|X`6H{<)EhiI`Djd^BC5Qk40l=}Dt|+gUGd4EPN3jkEx?<530;E8O4a)D~
zm>5g@43p{^rdmTrT3Y=#oVVGd4vwwh6vao7^7`7<pR6P?CX^ohURoLn*q%1g<?<Qa
zK)?bOS^UE!IBluyf-9$>?;s~gP2>qCwnWb<JAY&53YvTGd^vm=9BaYFldIieO9IFo
z^leDqzI_X>>#6v3Jn52D8N~JVDRy@!aI|Y{Yr!TH5fKScW>o|C_%fNn!KhedJh*^b
zyDO5AQ8o7DAT2;kOAFwxti6lSse*A~>3LlkNx=Hb%FF*T5ksNjfq}?k;^JM?8tvL1
zmX`FU93;rd$P-gXXJ;V+0Z1cR0#Vf_aAe4*#KfcJE)-NWG=_mbIGl!_9vyLYxieWh
znRNr&kY(l-vIWasuwaN^kss6cPc15X6^czBIa_P72A)F4!9hTm*nlQtA6CcdsSDzg
z7JLr*+c*u#9U=gsI5iU!7LZv?1zZ=%C@6%Sw}4!L&9D=KMZpgR_9PChlY^5pAu%zZ
z=K^#~J6`PTwVsUdfzI#l#wEWf1HY?BAVw6s-vZDJSS4!*lux1mySm^XGO*S;ZWCl9
zbIKVsi_Xr@v%L`nX#h7x5FuvUA5F3g;!fn<B<FaEg&KQ5z<7{k07W;>w{I=_`}=Ky
z_hh1>5v}g{I_oi6`=<nih3fr<@0<a`od8`i17JmUp2c8#(LH02pf>v<r2kE}HnBE;
zD)^A9Ac8)Z8u4c<YJdv(Zymz%84z<7Pv>QiU((vjF9#rC)CuUu)ldLV5Cfgk<*oyR
zgGYdiynB2cAKV&)%ki@Dz+85A_Ea7x>Mviu7@C@*0xu7A?WEUvz-_W<9EHG(XP7Jd
z`>~mP?$+1G=`q}Mcn~5MU33Ej1N0Es|3%b+ZOBjw;-t;-aXO)f9R}pB!y-Zj4xBup
z14NY1Q6F)73zLFnDKjO%$43xDJ7;E~+yF6lv)4$KBtv*Jn#osm?yU7Yzs6+@P!ynO
zXlOu5NvU7F5U!4vm&c~y2g{8EKIxvH*D)Iw0+m{YE{3<aH<W~giiZaZNULScNKgE>
zd0FPhCMVU_Ya7jnNn;FjoPWFMPymnui1DF?g|r_06oB?T_e1ox59LI}ymaWW#n!J}
zKzd@od%Qll3#3TR_xJa00W`3FD($TUh4Y6G#t8qMkdROY;9X_z2aAz+^9^<;2(D!?
zLniL~e~iAnAD9C)nC;2Na3lwK!VIy#+v9~yR8#?Wi>+w@Zc$C}O2KkZyI%VF-jCGV
z+##I?TO*Ys1+#?~SCw}XXZX)8M!pyUyk2CA81>lSbuPw=xtgk~_}RI+8em1Wz*7Jo
z89{SX)86)ndvAGt{n~K}9hpMqjrH}uz@Q*47ne7Dez!ceH8sXy6*N90*v286A3oHK
zZ`NEJt+m)c+~3K)z^&SwZ>+t%^x*bBx1}SB(n3IWj#pMz<P;U-e8Cza-nd+|I*<ek
ztpc6$;%R_G9$=<8-2euOh=8C+B8IdN5ZA*&PyVz2rkkT;Zmh2_#1~Ko$Yi&zt{Rsc
zRB~J8GrRB2^$Ffznw$e|PYwtZFR%7G&)JoI`Ji)x679>EY>-{>HIa7ycW1<FM;=T9
z0(y3tz;Bov8g_!U{x*}Gn)(A$6&@ZALLm?e<OZ9zZ}gz`1pD83VU%*(w7z!?AbKdM
zPU%V8u!P6Q$7>TXxIW-&Q?tw;1JI(`#>PfjULLG^Z^3=ZER)yOx|`5RQpe8o_R^_;
z^F+(s{A=Ej`;sqQj5;B2uY{oF_ST14H|_lD=B5@{pUROlh@8%jj)ovTY@Rz_gU4CW
zNJJ~m5#i!?Zj59OLQUl86509q_!<CJOW!?sbGm1kv+ce&P?H$%4i|D_u*&?ob4^b9
zXqCa<>Gp#blc(MV)g1>9d(BPj#CUi})tXo!@#<?>UN$_u^3iSnAa0k5fZVC8Q}gg>
zRuA{|pp1-+fC>0^qzhbwjABzPh}XPm5G*k4DU+>|4O@76G$|J**hE`^`#YBG-S}bD
zFFf4_Gav-1?{g$x_*fi=gaZ{2`~xl^hu%p?SsgnP@XHPk4l{Fe3<KbcPyuaycwC$Y
zuRh2jj2s-|M1s($01PxSrHBhZ0u{JU89RVf!y_ZpUE3_KIH(2qQ7QnTD~<*+2sri6
zbM?6gDJ*Lx<fY|WwP?x7$p9481w;lu+e<gTnX??c{x#ul6O_F^jc;ad-re6XVU_Ve
znSeFfKfu_75g?p%8gCA%s;>vIRN$~3mphTj_}t{Sc}D%HG$`}I#R{M%Vcszs9-fTd
z0rkl0AZthO6V_IUV0PS+-_29NgwBCYDH#1eUxMpWyQ$wy2jm5Ldf(j`;NKQ4?Ctdr
zOtz8j>doXI+)6KyKDM<9fEB|8Gq0+ux?Gg)2Lt=UX?=hYa72g_fKkU$3Q4G`CC%B$
z$;c?{6n*9PY#1(SoK*k%zvD!@^7u(1;MLjPjhw=w*A09I@C*S@pL4&tYH7-eX(+>y
z_ib$03f^hESnL5NZo{0InmWT&-P_k^1bzb@1EUMTlQY)8r02=*X%a9pGBWA4s2({3
z>Y}5qF&f~A6pHXml7A&Li_2OLDrEBJ0xuDn4dy+D&wbwz@B_`XdA|)yNZ9PEU5WtX
z3=w|O3Fw@Tt~RrOb0WR_l}Atl)GiP@yY<OV&dx!ZndBhHOKOlURQ|iZ-Ze6!U?%|V
zR_Y}_5Q3#QD+jTh!4<&1*c_LI5eQ*M^)jV*BOMl)re<a$FY&kK4n9}ZnTS3@MO_AP
zPkG+Zul2zVW!s!uZHgL>3(0P7ZVa_iJHHj~@9)8(jd8itKV&edt?ljNJEn;#`}(BH
zdk4VNvAegIG@v@lV>fhDIM`$@=?bjpMUqTHdV0y{t;T2nnaa#Tu~%G!byvw_5#UW3
z8Z!AkYxINEfsfGWYbYpqnIvKjg4j@he`wp?`Mh-;h|~vctgNhscEGvXjs=a^kHt<}
zlS-A3lxfwb#>FZ2u)ri8XOky`#<Mf2ntiU0iG=9&e%omY(BI9@iZA&;2!Kdk*4o<I
z?*V-1EJzd5y+E7v(o#0FW|i>&_y8A|GFQkUpj%36c!Y*lg7sCu!>`TQ-^eI;PGtM3
z=YM<s8^~$Aq1mGro}Qla&14EzEzH?!(>bTtevMOqo29-%6BU1-9UU2IROlKJv+A3Y
z^SUUdf6Yiv?&o#g>8;Rh&YR%|@brz{-62HM4o*IwU}2dC1O!Ch0bT5&xw&-tG!AjA
zIcqn!hCI2m8VrQ6fvlXIDWLL^k22sE`Mvi8Y63za@U!W|nS3d(yE6&mK-FVw%d*e5
z1cdIIHt&m?-d-_;TSbVET>1#kxBGgZ=r$2KP9_6Ztf8r?WO<;_(%08l4e)-PCMIh{
z9kzjA=WD!Xg8|mD79bm|z%;Yj*w_@B5pdi8`2n`w5TK6Hw6$f@sk6jeJGt5g1~lxv
zB46kK;D_*s;7mXZ21Cx^w7>>cPh?sQBH{sc=d3&*4-cN-)6*9JrYkK#Da!QnrP!W}
zf3@b&{pA{t+sTGJx7Vp<{UF`MxnKPo-MTg48fJi~@+^=snE}I@0rQ;-QqG%E|NGyq
z#Fa+Cet--D5jpuV$ea2hRbU8+!6zpq<kG8TA569Izr|3qw`a)!c@8HRml<_J_%P6g
z5%4?~tM1@+e){BziY+i(latL+3lKVnW@b`jNH`_7pMni*1X0yzVPTQk#0D{S;k&y9
za==G`ZmlNgbF;j%u9pN69g0x)P?=8#UeqM|CjkS<q0DV<hs3DyPA)Dq(pTs3ohFl`
z*%1*GY|Nfu7?rb&i>b|2+1UBIbyC9|2Nzco@FCG40bmEO(O^5vp{}J>Jk#N}r#%JM
z$=uTN2PmI3fwR)GwEQ+zsgVc_W(WYD(}Z6bf~|*0ULt+LOPGKZT7}^Oc*!a-6C5C!
zY;oD{2LJt9XF!)&jU#l6$SF8-m42XMll=fGc+$YcnP0uw@Iox`_DnBcd`wGAV;2<_
z-Pqp#DR{G6tL?3*gDKy*4!&Z-?^S4UF#W*9=1mR@e?PSJ;VJCD<owuSw2xO6k&IH!
ziD3{Tl2IuFfOABorQ>3smGBTxy}_gXpGV~XzaDvbeE1CYy;b;Ia5e~mNQ*0oRlp1b
F{|^e|EHD57
literal 0
HcmV?d00001
diff --git a/QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/sphinx/_static/api_csd_raster.png b/QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/sphinx/_static/api_csd_raster.png
new file mode 100644
index 0000000000000000000000000000000000000000..b24f79ed83064f7ab5645e9cbdfe5d5b00306940
GIT binary patch
literal 13426
zcmch;c|6qp{ysh`b(iEWTO~%RgpfpKEiH)1o^>ikcG(SvyG@j(X(6(eogp#CI@(ZK
zvkZ-8lHFLc3>k*+^Ii8jr|!G+Ip_TT`1L>!%)H;P_iMSH*L6KFA!l^dIoEAnheDw^
zH8qawqfjg0lP&SL)$o(^P9cl%-(imvXFUvDY&^WryIn$^KJVe`=;GmMcR|?elAF7o
zi?giMVJVrt!k0ZfT-_C<rJery0x1_aTj}O4<J;jPYh5)=-BBp6^T;P#x@wvo3MEU^
zJbu*B=kZvVpTA*ic{R&r#l;n$wb$?5@_FqF^;2p_k>_5WHA_jpzLI=@Yr+aqhMGt_
z-<h@QT4t-TVH&(Hdx#XXES?xj@Y8e6Rl+{kWzOvs|9$H0jjOL#Ico3FaK5M<c-Bi$
zcI~@*?cLiG=IBIB{Kx!RryILz`Liw)yyx%8tU#fT1fRIMunI<q6~D@ZLIs^(B?jNb
z{sz;4lHZsNUmbU7u%S@x$0Om@&q9RRQK)m=M`6ZZ?Ed}+%T39YY}2RbU*8l{P%s-F
z9;Oz%+s2M@tXp^g@#E~Fq05%o;S~6YS|kT9%@4|5de6hT^?=64jT^-!BpmW0N=g*!
z5>zqQR&zGJ_+#aR2M<!-zkh$uiVuYv>Sx|$q6Fj}&p12hP;xA@W@bE;zka&*zP8rz
z#EBc9dwb0bXnEGbHVyHF#YKNh_c}Q<l5?C*ZFJH>n!iDmg<HtZ;l6kGVh&w-LS_(L
z?8ZBb*&<3Wf7s#FU1rM8&hA!hVfO6YA2}6ESSK2}+;Xt1vol*nJ$z_!y20f5@$0M&
z@cfolo1f~c%pVU42?@P3dUbLK_XRsUJDa7&dCFjOnr`fyH^=WKB%q(MNMwejYyi`v
z!V@N8ps>T);lnIE(MkNraz7G{IWl73oQqL4ICJJ4K|)&kApTAp-KotNt>WLVapC;8
zf5U&&^t=x4V9b&8)f9HLHZ~?UHR<>F_nXpph=@G6dv|+on}Dl8Zd+Dor$vS5qeqXZ
zMOUm#Bh1arGOMaiUb=YkEFFLEo}9<f8Q*fN)6x5qD&-jrMrLj<NkzbVrzVO2^xfVv
z+?a}dqaH@ENVPK!^$A1X>hvmL-B2=>yRPJN=g~M=BTKik$kiDUDol+u-2`JbwW~Dd
z_3Nv~Xy~sI!3~2P?cIaZ#DyZ21YJEnz0i;lyE)v{^faRvy<Aj@t@dU0ZPtiX8+z=G
zOK?qC5fpf3Q*!+lOQVOc4g8kzQBi3zF<TuD`+s#U(p`%}dAM&Eyt`G&=NWTmxcReP
z@%#6uio3>xI*Pi+HxON%(43r{nK?PL0uSsRR5t`4+YtP;s~Xnix8YlchKBd`4GfGd
zEF1|A&d$bHuH-2R>ArAM5{kh1X^M-B+Y<wXGcqzp+Hw<UIQZUUs4;27*cucnQF41A
z>nLm~XY#yF7+Tc|mJ|Es<r>eaKFzvEvg&w`=F<m<UvWqq;&9}h!{LhKjYcMxDGL)7
z7+CK%CWFqX5^xy`5siN~YieYaax8em@Y}m0coh!KCR-6bXOg*8l-A+Hhu_!L896#;
zKh{a(ld{+oQO*6VaT^?)@W?e8k7R8}zE1X<6*@lhS4pS}7tDI~N-ZmKu`%fwZo;={
z>b(Tfxl2LPvcynzv4=~}txv<Lv*-gh`2NoFFRwU^f4`S(ns1|te<+Q~;gvAfz#HdU
z5#GMlxOC}K2AOOH8v{F<SFILMd?dJh>fI0@eRo`i^m^MB=Nv3+R`h3y9Z?t9QTu3c
zu_vvt&=>~mJr-SW;5X#9N-S|fSc9>bnDCgwj=^H&<mB8G;<l>_>5l!M5b*CXgJ(+Y
z0?K1sa}}y<O><SE<emQ;Nq)S{q)<k_PtT{65!n~#1IV~H=I50JW^6G2B%X-}D}ugQ
zAO8V?I;r%;K^ofH&)k_~#f#!U?5tf^i~JqH!VLLGv;&NUTP)a6zgzucEOPqF(OoeT
z_F46u5$JhrDK$X)iq@@$RVb|V$sdsL4WZoXmYp*;m6cHB<kZ$}9`uK+`R^!d)vdn)
zsGi7;4N2rohjv2ny2APv6Lz&a-ug@C^c`l|r3%#RJ=%>AHsAdluG%LzUP{khmtER&
z%#*#_j{TFx>mM&&L<|=CqvPtQLgAqCTO0od*H2Ea8!Q_)#I(j*c{axFYvp`(!_K-s
z;P20C5Y?hVFwH-iWlX>~3^qs0SkJr_iP$44Nobt~a4Z>&_w)Gj>1f!t!}<~?IV}Zt
z&Dj%SGG=7|VjPQ($to!^!_2=onfclq;n4T?u5m0>fMN9V*I*iMdU~38@g4pXM!4QI
zE+coVpvjguvPZpNDH2eRH%@KL;1rPGbMT-^O_X$7tP43q#=2^ctgJzGxFAP64!*`H
z`xUymxfS@$IoCzY9Fw)FZH!m;%a)((@=g%KeLYXGEH&P>YnQ@A+4TKKk20WuR0Od4
zL{&e0c&bjg)br}b_Httss<HICl7{k^7b{~Fy>kX?A3cTNI*d_?Tlbv{ipP#*1dXAw
zL)%ZsDHwToc}D5$>(4YNEE)Dzg*88oP!S)_|B${0?SDoqN~+bf%`&Y<s#Lo{Y5Gq1
zw!=@t1P(IC=ujh~I>rhgPS-0+w?uJ31-%QXdGqG#2M-^Li-`2n*4(*cc=F`UGAoxC
zPGwfPfJ#uf3aIEqu18c78gj#G`t`9`?CpSVzlrj#2QEiSRV=y@%!sE>pFT~9cL)e5
zw|8)0K^Y7xyk2l}1P0YK+?@6xGV&8iW&8G{3v&}(MPYx!u_-OVw9QOFvxGI<A?MtA
zsIscc9wzdAO-(aAHRHufu2o9TfM&SGUbOe<3bw>+qZAW8b9N8i!BLLG?(Xh{<%Q=p
zQU-vj&ZT4W{ey!wJ+1|p6QZI9NvEBh2zWfcqz{hGkp`Y7bH8hAxQr820t`)umuK`Z
zT}tU3f8pZeRodlLs5(sxA2q-?H8;1mv?RmpRxft<xV|0sU`hgNJFWc@wzId$+GyZo
zVq*cqv)MWLR&`eOPNo+Xo%QbaO(W){r)vmBsN)Ynr6}%l=H=&i7;VqPs|YBIi-~=h
zBhQr^H>6}|Yu~+lH#8!G>phXpHh;oL?Y3vxCN{6h_c!8)<4PWS%XepRG(HpLtJ*fw
z_feQf4d);Y`wqxKepLiIx1itvLMIe_r;=fRh-j7!r^b5p+~5~iRmI>vss+7=GP81;
zSaY;on0N;klY#9GJ2>-(TUP_WW5*7U!8q>`Th)a}C&Ra8K-s3p`;F^exbTFR0*ig>
z)Tsk@O*@flI)yDaE4X}@%o=l{U*(Ycjj?MbD#&U_-%)$GsRC}X=%J+f?u3T4JnQPr
zXU`hN`BXiIB6o-^2Lw;Pm&k1?@uU}c4C}ML1go|{l_6f~J!$FoZkKUv=>*waR5!k*
z%y-(*(vlFuEedZx^Wnn>yh`b55{`u>oXt~%^1oHZzlcxLtj}a6P`5_Yja8ddlQtxN
z2mYrNNxcL%$=l6rihwGvpD0#eSCtTL`AM_XwAp*jC7-k=vQkr1wMOC^KBmp0Pzl2b
zfUe4aadk_~3g2XG`k2$&^GUChD`9niW{Y7wsKjGFX+}fzq^ks3hS48q+!-!EVUW4s
z5&jF*%`;xglZEGWOT*fDeRyA2$n5wV!EAx5fxVuSp8G^de5Rhr6#o&7|D>f`#e{2p
zNIbt|#|XJGn-`n`wc|d-Gc!xLPvg6}Snn1&eo+wq&S<Ryp+HxZ8OuGdRImyOD%|(W
z(RBR|741mFiyuMx-xB6FG|c+y)Uc!GzeM^Vq0hIQtM*-5kGhWjuZMVKjf~U!`g1?l
z!0)v){q72Ey0p#~5%@jIL+<-Tjo^ieHg#J8bhTl3oYK{8tB+IcaKxNBli1gH@r1fM
zy-7>DRZF_OZ?0VCWX(g#=E&{GS}Fnqflv;0d9xB8re|jAdwCTCleuu=!u@;qo^p%o
ztYT3?JxuUU2@}u1Ufn-1U_U?AkDabNC}&f<`I3#zNPC_&TgOCu-m!e!24fwaaIcAO
z0v!3vRd=>f^KBzq2gnQK&9AvsvxyFEnaRn=;W)+bmz6a#F|j4StFNbYm-`tR8YZ8P
zl^<?3!L-6Q2SNkvjXz{xRrDDlVP$1Y6N@W1gaT&tH1*xx^8up@Tzk|cO`j*9SU?CC
zFn?-+-94i7tLtmGDtcvuf{?Jjvx%FV=rehN)v&x6u`?qz_2k;MYq8AXG&u*#-Um@p
z4l_d^s6>Y-zz1nf@x6PIvN!W`4SJ7^OkU*`I-PEW!MFtE5C}&4`uLLs^Cv1Rw;dhh
z7B+;be-%8Z;mPGG8dK00>Xez0akqJR{ru#=m^{qq;zH2fyYJt=jclWH7KOFZ84l8#
zK-Y{HR<7Cbc5r&0c%|3^R)|FPDYvS8^XBaKQ~3S+_w#Jok^zqwR9)B55LMIv{9$tP
zPCtH5C^=z267{Rg%_rb#rsn<GNR#va-{3f(7!naNw?KBGkwe46oESyEzP>QDyoaxY
zxk%IE0O>B3bgrdJK<S=Od_t%fLaAZHaWG~%pD*Va!_Dds9xQnZfGTq<?P4Qc`4i;x
ziSrj^{0t24WoBlYDNDgdP``0N<HU&*Vsdgum6es0l7Rsm!0ejd$#1a!l^B)$<jIaK
z)|Z~w{a&RkY72z|YyQT*chUy|FOWG|b%28{puc8jW)dyo&<u6`{{q*b7Po7j($xIW
zl3^g{J#K-Ji?FaTL>JoB#qfR!Q3h;NR1-?Jsehc&TOHx>@%bf~VPr$C<KQ4%m<0MS
zwttGY(%QtzH-$nlPfO8?8VOciOhW1cP=yh^mQ)_KGhnXkTcN3oO#>x(`tc#X8#iu*
zhKCnYmF7C#k=yOojnDp0;)i>J(Hj{3E6!II$e<dDYD+>H@tNNc`}UkhQniQ%ThFmP
z-!{dxZV^CBS1I_x|E17><kjCL{knM`8Pu!WcGf{(d<pg!p=ypTcE0+r@a*pf!1v2X
z?^r!_BU*m-Z|Kyp!=zsT=if*1Z;gf2TWrE1FgRD{=K>k+EzR!#!{y%iC8G*Ly|vhm
zbo>OkBq(1)HsnK>?z}0G>Eivbu=cybv7J-j$jIn@ef`7cVMA^0J3vi6KEDZ(CuL-1
zH80Lj%Uy01=G=DZjH#(<X7)@1{xhh!7?psM)$2DWe*Nmx1@zJ0-u^k6R^pijyuoa*
zN`myxwzV_67s5pg&Y}`Y>+B-o>c0RyYNySICnvCzmHb8k)=nLTh|VloV$ul{x(O--
zU?o{eNk<jEMjIz^bBfBWnPyOwrndtCH;0BkJf&<xqtP=C;O>;0T$ic3exVw?gssZh
z0<SS@%4Bb~79Mu6oD=mx0I1(n+S-nJKt01gfBswm;<L;3H77oqwJ;~KYu5>@Todly
z+Krf{DSpIdQE=<KwP};e!t(VtaAnYopVlBe=E;*M1)g-{(=i7$(SeJ3P%5aN<bU`N
zZ4?R+H_h*aBV1>8wX3uB4r}2VpM2kimblAJc!@#;jCImv`>HuU-n!pLH-f3=eX>(b
zMC2HdJb3fkqSJPE8CwMezzI1|(9+SNz(n^mumqMB*h|K@@X58c+N~6d{X};;Zb1MJ
z=*{(8p1An;3Q)-bezAkG2?^3sHJ2ncH8lmvHs1uoUX6KwG9RglIXjls-rjEP@BrjE
zJcrqx9lLh!JlpZrU!~%A&w&N7>YAV^!o-=e<{JVj3CoMNpg@L4vT`Y)U_Oq_5A^rL
z_^Zq|pjA4P=x{2_b%RAEt)5>DG0w60XcId%<<=p}v;OJHu%>jqr`Zh%SOD=?CRml5
zRV=e6Ryy~(9_n*-<={f03NXRfT0U3a_N<X46@0XLb891juY%WTG>w^>x*PW5yD_gd
zo%Lg0$m+MYw&I@Z13**c!Ff>h9-rwLuQdoDjG5q@nwn;)4!K0%Zh$bs4?V(w$Z17I
zMfru(K1yJ#7{hdeg|bW2ywFh(Dk#wQmCpBKVlr_oW(E*(*wA<tzo~JU<|!W~3NCPI
zI)M&lokDmGV177GCrn7Wq;*<MLIPn73LXS}%a`TDyjujjdd9ZBlN0P-jS8ZCCsXSh
zU+2C)npqAq>wxEoVO^Y}i9=hCk+t<xzP)D?!OSq#9S!)}6C9)D`#j!vU`t9$%Da9y
zF;P+V;^JZ`To0OuTVCDZ=%4gCaQ@XQ&8GWe1_!V+m%Ds=!%8N|3w_h`2uTJXkyau%
z_vsp!{nsx&%&Dk~Y!HXa^L_WI&oA9xnk7}-7;%G=C(ZL*c$a2_^4w$O?(go2O6=dS
z4^NAQ5fCN>1O$xq^pbQ{SuJKHEW<v_3A7k66Gpprgeh$fYGSOsQxixKWnU$sI8ZAk
z^8>MrdkKqg?3=-|tGvxm2U^n-#J1Ao<E5zK{wNG3S@WKnFG60T)_(L$#+Fd2X2lj#
zoR~=t=P@?hmww4XUx0gSS+ayOBEvNpHjD+!F?;n-uZo2m56E1XK$WxI<6HSxh?mnp
zPw6(xJd&Qf0wrAb7qG+bD<!cP@A?fj2;6h6>aQqshSe<-sYHo=PV0lZgMR5F2&x6}
zqEO2}85^Jzq+UC{?C!sKdYO;z)w<rHt<c26e_xU4%9$P70?ovq2J+n~217&S45qc5
zJu`UZj%6U)#?O2t3+1uvSECYpJPqDQ&bhW@>;eoURLQ0vk@_=5sPX1(H=mM;3!B$m
zhtJC@r=uvr%D)#bJrVX*FN?o~-sm>w;&lX3@Z{mTo-bytZ@~+zA`9G<Jv{e|ngUAW
zybXz*DN8hJId&tW%iHLiM*c~*e6N3U`bW50A9<VDX&n2av&!<SFY1r+kRRvpiUSv_
z{z@m`abax%?rp!k0xHN@55ry%_Wf;Ye91tj?#IPRrZs0oM{n-$>l=C#!tLa2U}BOs
zKRxKsn0R#SA=kv`&z~Ebnhv)O%yzh#*xP4r+Yk)?p@6HZO9iWt%xujS2Nxb74mlQA
zJx$@{Ka6D07#(#S>nb$?hK5jLs{n>kUF^Z!Iwuf@$^009J@9*|g-)@EyFt&bAfG6m
z@E=r+IqYupA^@nG{rmf3B|}ec8-menlx1vJ8On?O93pzv%@QtedwjFC_A_rYE2|vD
zVS$RURTWpZGXunEbL#14Fi{fUym`ad(bCegM@mYEP9ZdN9_$p>q*er0037r&uySyu
zD`q8(vm2|z1dNQ02S`hk)#$be+>FS)zY2^QoX)+bi0xv(yu>2JyTf@Lq0<QsL?RJ{
zcGDN$iZd5I3J5q97QY*m)<LxZqaoJQ*{g};(thpriQ^49paad^D&@hI05js|qR;j%
zcR`nfd7Y<re<$$rJpcdz=xii0Nl65ifOKbjzI*p>tAa;57&yV<EMjgz-8wxyVmO6{
zt_xV4tR^@|{i~vksq6-R5vR5(87c^LCRh~4ScgeoULJ5of-^TSZwjnw1q0|g!MT}=
z+q7wu*=TRAH{o4PjR6#0;x<s}UDZgbHVC!~e0K5OCW1xr^E!E`*l`L;u2&9ib33%H
zM}-p=<TIxBjD11gO1ME#+rgxC+>K-3Sp}YCK546LbLZleI(d<kcOpB+DBve7QVz<=
zWn^ZaawaK$@`Cd4Pdhy`JKNDSmNGkCDaxw%AAgI3g{)6Kc2pcz=*pEVwoZfpB<3lp
zsi*LTjvt=@rB6vqThqB4I6jym2H?2EX56XC%gd_(mIb))r41i?Cx_HknRlT|w?eZ+
zQ(sT-?#ZyNDd2kq>;Uh*TwTLH`G+C^^{Qodtb=&&<%+r(xf<++34l&RH@D|r<BN{B
z8va=Vu>B8AkllCKec)~H<X7dqxw(pEOYpm4dKElJ?nBGS(AYTj=FNuqL(GZgB^N}C
zK=tsO8*jbIDKOJ`j7#j`!Gk<eU>jreB2RCe?sRXkdwG=|DL6=T1=>!*Xk0s!oR_Bu
z55$~l)+KmmndBByDQ#^M;7&#;&qmX5F69hk;9+%4|M~tXE&PUUhZ4c|gi<x^61WgM
z(2$VZ(qhOdq;wW!v?5(G8-*IY*=>bs<z<|S`+$ITiFJUHMz@HkR62q1pr-$`vi^{q
zPXy1A$dPd>cXEBm975%1R(~hUYQ`e$iMGRj2Qn)aoad5Ab}j)%hn(5sYe=KiEM<mK
znl43)>P7K-`4e?7BCbIlS#yKQ%h6dyKm1ELhOMeLmXRA8k-L@^BE09<uPF$%vqmL4
z{Q|pwZ2x^9sSk@SXhY9~-;N9kDh}A^h1*$|i2efI|DAaFyL<8m1d2i!Xn;m*YV^<0
z`X9QIFu8o!X!gc5TpeZ5y7z573iU}g8BF$nbTt8*k7z*E`yC6=jQhpo$>|I7EZew$
z^Ab@(-63!)|I+i^&hbA;g6tUw_k}T%1RNV^VOdv)JLN@yH7dSi$CJt_COvn}^c37c
zjX(K$em>EA!V0#Z9Uv!`(P|>+(p@G`G6nn4%75|%FAvY<jzTAdeM8HV$u~xxj+?j)
zE~3*o9bp-W{k=<0j%d&ZT;a=!?Y{Q8Wn~s1GyiF5VEgW>9{|G70%~Lk1pT%XD3h63
z+TuwBmfI?pJT;qOBb%orCl4{&Fm2b@a_`jSQeAwua~RrHSa=F^<=~^&Rs#VgEj<3g
z4RM+)1a{-S?%n^y+!g&dv|0HP050XOd_In}wrrgee#BJc#n?JYK9nRwd28zhw%;wP
z!;8)K{uURxN(>BB&{h?m0SmK8lg(cRlhtt?&iwA(RW1Q)YHC>>tM<EoI?@%m%o5+T
zr*WVz7P$qq6MD1Hi%U!ELTiiS1|-o7%?;;GN3euQ`U~dPBW+1Hu*Mq@n+d6mQ2K^}
zPdj-k2EX1O{Q3iL+HZiG8wJ<t-{zO5NRm36Y+^TxoP0axg|K8CJvJuB(8#FOz6;+m
zW_;|}walz6*2xs;dMg^zc{H%tlF-ml1tJjsAnB1ak)gM58(3I$nsxxI1QRT)pr8e7
z<_tJu58X{@6ufW(u8x2zuy_dx2`#)KkW?@q-t|s;^c^tY^Ct`ce!X??4E)5z#9|aY
zGY9J9vJi_6fQ^H1Z)3J;ezxeW%Ho$}r{k4Ok(LI?gg&=o#MXnhGIS2!4|~`{69u9C
z+<y2O1ZYKd9!ElpD8nEPP<FQ_q9H*g&6LtuI?w|yS)8f?I<2}~27MJVgl;Dl8G^pL
zeZ#ToGjx%3ko$rg#|t)AcJ^L+D?7fWy*(W%qhP#IN?Nl_%$;B}J%HL;E#z10QbFp*
zW)(Vh*aWC>NB@bjns^+uIbj58Fd=FUoJ*(nXGafqx*kiH0+KqT55_k4_`RWU=$iDq
z6?;@33``}no+y^F@~+g9R~D!@N8W^fv}^rs0KGXek4Md-bjAQDSNcCxXKyYzJ-^C7
ztovx-S8ka&KfCA18nbl=XhQ5mM_k!sTyhWcCI)W`{0M;kpE43<ONktlrvOLlB^P<2
z4E~&>uun#LC~6C=ye`ySwQ9}JeAg=a+xxImOBa420Bo;xFPCZsh%ikPbeB}QU-`(x
zDO5cFD`R*haeAGVi;1FrM$jj)-GyhO<x_iq0)Eo0TCyw&6->6EUFb?$ub$Qb4f<95
zKaS^5$0p1$nmsc`LHRJTvgC-T!PrqJSb?OUnv~xWT~DNylOZPMlqYqj%h0cYR2XU|
zK64x%Rk-snw-ydD4?+dK2p4oGp5;elxNpi1$N%(_e<%s;t#jl}NwT9lMk0Ec8#yl}
zHvT&y;jyLLh#hsP?K{yo(6|PN@d03LzlQ=ZH}})WkGI7^Fr?0DWMt$(;F3QQN&y!Z
zHuyt0qJ#+=mM&QruWSxndW2SiP*sFQ5ZfET<3oCEhqrC8^q;ImyyI&DzA*1m9RDAD
z94##^UNkz_HX*<m;VKB{1<E)4K^;w`Zi7xCk~jeMh>#n_i82G^U@S4)DsGONfsUQv
zh7eCu`xRf`;*$|V;9PpyEq<NECqtM3Z1dA-|1W=l-EHn@U|{gHsOS*EoTLK>=Gsm>
zpwVD?-fg3|0>ZBla)2-kfMOdsusbzXzrN%u@SV09`<P#CFAJ_X0!GiC?fawxoZASq
zJh3$%<SXKS*juKNH?l@O)%ZE8{Zd|qn28tgPuyLhmRnj|;my2Q-d)zi_AkaQ@INu`
ztZHzn^#Ivvd8!p$Naxhi9X&rk50M=T{{DRr$~Rlf{B1mSdfp#8fOD#6zd76w8U`Ia
zW7E_3fP4OxpsS&A*)vv9(d+W-o1D}#-+bD4=KU1R)HIzqeV7OHQBf!d;4)AKA(_G{
zs9<>7{=V9N8-D+^*bzv^SY{UI1TUWZ-K#DQ_M_U^jOKzYW>xdBuBu|h?_I7ANw1IE
zzr*h`D|WjS>jVu~r-U==qaX9t+bq4~kbH)iL8^y62Fb2eSGe$kJ#`9i)vOgqb%~-f
zD|%F}<q+jMMNz0jy%31`#Gx|Z$6aiZ6NyfP%T9i-Ea`t}PIZ*M@a8vYg2Hpux&(Z8
z-TS;sS2_=Rl_DV_@RKX_GJpc}b&Ph9bnl7kQlMJ`hDa0N!u;Yrob7Cnhr-J6lkE8D
z=ydS?Yc@ZH!Z89~yro+%!@@Il;0|td8&l@cQ1z!o^tEfa(XxiQp83IqT*y7`JSXY3
z$K#L&xcXvJQsdcU5U_zlW&~usrKKS>k@VjvgNRmVFy)xAadW^fGgV!lZ&)d`0Ff|t
zJk-F&*(>s3@i8Nozj8TTgz_`RrS#iB#<G6Hw}I6wHV0eEZ1Oz$Hnh&*UnbID^uwtT
zH12B>WT1%dgF2dc=&(cM32Hb4I;rUe1%~bewRfv~^Wxh(paZr0bWAd=4w6KGEE9ZG
zN1#dJtgZ>1$wb96d7Ql9JVvX)AjE&^YqhF9Sg}bZ7EsqXZp<j_BkmCrw(_02h@3U(
zh_!I*DxD9Y{iU+eV;pky08_}b#9W|FbeL8Wc^RSx$<R!of3!_#1@A1oKU5;;8Ff8c
z#Ul2gi!q2M=#o7}5=XEC$>2R5`_nxdw(tW@2`M+rEE<=9eD(>W01uA>B!36}t5uyg
zpv=wkE>xOE1OR(<m>cgBRG=LJivV`wxXG>X@TbV~{yC+v){4@P12#YBcLR3(m>ylQ
z`CqBNzq|D#o=3r;IQ8-4N5}+$a@K>X)p>mA!+^Y}r)P|6AbB<C*5p4{t^x3@aak7w
zNTr2z{-909oSVqKf1gJg@KbU&A1q=}@;Y!Lz<9`u$1#V`VXUIoo=`p2G)AK3fPMmG
z4HHx>tW?<`q?CT^)-Apo@Faw4Yv}uXM$|PC7RqSN#Tg;ZOi=&OSmDpE8F5P*sRlM=
z2SG9<;Q^cye0OgMfW2elfZVbzD;LVY!+Pic)Cnb7g?GkWy}DwTsHg<kCQ(*cyW3lK
z-jP9qS%`VO#9EL5{~4^59E^aXYSy^aHr64>_Gf&{<KyLX-H8};leJ!GmF30hnEjVR
zkqNkU>o?Gn#CCN*+?s;h!<SNZ;_P89t*ruCp3{NLbAbb&Z%fO=#5lXhf@xp6TTJX7
z4?lnG!ET?|+R^)7TKM)qpv+aw*SXZfY&aJ>ciAI0@$>?1xqD`UMpK%4D`FfwM+>B_
z-@NZd-@rf&FyKe(LcVVxKv&Jf#|M?+m>3W1@*NoteyIZx;!7`{tP%j?YYm3Ow>Y9N
zNY^?<E2JbPZI6y>yY#9x0_gDW?b}~ow6%>@_M44HQfH}w%S!_$6-=Xj(z!L)pP+%w
z*6xb3xB%8j?RZyd9W;zDuI3VQoSK@-md`Dl3cY&~Qg(|=%JC`z3K!e9?xnZo9t3tc
zkdYR@A8MPN`(VACjEqd`^XL1|EsS-LVpRf|(F^0H4FFmVdo4>^X6S7VWe}$^j)g=_
zTakrSK7<{nDdsMZ9CFJka5y?2D|o)Qw;r@@jk}SBmM$6EF^$-+6SOW!Kd9l#lYS3X
z@gI0(TN@F$Xgy8GEK@c1mwHb)=OxT8N;ySX@g{@UV7v1X6iQS25@?`kSgvVkwyo|=
zEh(WQ_vhi^IZFo^58K(xz?v(=QY;6^LXv|%-Q`VlA}{t!FAyIcc29i=Q69g;=bL$1
zMgH?s^4AO#m-S{2^o&*`1lGd!C3`BF+-){@4ZZl{&Q`fhZWA6M*r2e%-W@-Aa%)0^
zEzuV&q_F1U0_K=@BojhZ$6PNZL3GFlOazwzn3@7jZS4b4@z^>7>E^WkKm_K@qvGS8
zk${f%9hthix~eg+SkNS<G!qjOf#BEYmmnju*?N?fT~g{g^He5*Jp-8an#ohIMB4+t
z`Vv@m&lX6^kyf4#4RnV1?%gK=fJl`8Y<~T+6n7b!%vw9-l+T(~R#!VfI}8iK83o+N
zt|NyQKF}E>4w!`)kO<jGN;NY*y|Ee{=-6xjO4N`w#K3w&8dw~*oBcgt{6Hqanrw3k
z1Z9k1;Y^r||FI5|3)evZjpLx2PHAbea#X>e+p=W~VM$S;W8&G*&GI>VbNEtrNxmzi
zcgtM2UoLVCYoseIAlEikI@W1${RvlxNOa&mHH8z}-o4ZFJZSU;Dd*3II5G9*;Ix>y
z_$k<#I661ja$Po%oT5HEe@)({dz6&Wu&kz%9|41mQ}8?m?J&}n6Fnb{SexI%S@K+F
z&Cw+=^P%7%F$PtaO_8V?c$l7J#5S+5X0OB^vxcVUA;R>9Z{g5%7dyX2<9NUg^K@n&
zak(yjUI&k03}`cZU~Q1nZM&zdl9825M#$CHgU%NFq@;JMFo#6q;6Qz1KrK@JBu`*e
z4=&JaOA4tTGvALvO2de7b(la}d;8fjNLxUEUjaLlF68s+4;_q&$+{EhLiK03s8fR)
zk!C-1qo$+|N5M%SDxv2zPxaS8D*L|FVVh?jX*kEaPcN@Mh>dj!Ab$>(@aTKH5khI1
z9jh|p8zYpD>JC-wJw0jHlCDP?l*ld9pD3S;N7ARX<)yjvO0tjXD$9OfevXpK+G6+>
zMX&x(9j$jnuof%j7iPzrK{$d9q6A^sf=V3u>wzPXID4#POWG1PBE@RggRC{c&Pa>O
z)eO-YYlmf_2LCp}>!s)}XYbph!PI7TB;5<^K~<V?75E-B=KexEVje&-UXWcTWM{X)
zo?E0o_H}EiZ^%^SFi~BNkB`rRMw_6LPos3Fw|COe>)GE%XvrIl3>mJr>jY^&y_^nR
zm}O?07jMeaux{XU3am}ViKA3VDQf%smle}<N>_{zj+aizBN=pB$;W)#xuFZwXJ&f0
z5O_7$xX}ru7}%j@*8Cqhujiv1cwz&W?5fMk%7iQ(g+_5o298VfqQN*u7G_IYvmNLY
zGv$Okch*nWx#05iqj=qr{5g1+-}C1j(q+%;R?r-BimP1Ws(bD9cCu<POHE8NJi@s=
zUv->um*pX*Oe9DQ3SdtR6!CfsowKV-xl|_{D+k6{mehxUjCbZoKXkyLI`7}V9}TWd
z-JNZRn<hSVaH)Jn5bQnt_$-~g&@~YQ+%ZPdyf7LmSw2ca5aGz4p!p68a`W@sA}O~8
z<xuQsyG&Nyqc(IW6yemevQBUvQmZSLgxitAgp^Yx6JI=5*ijorp4pWTNl)aHE|!s&
zfTL!clj`qBMIk-Y>FI>!PGr<+@z_iUDW$hitDxhF)T&PC{Xz0y*#^95n-@WB%1p+Z
zm*ds4xvJ4ni=ing3(nVWDXIDi#u_kk<pmBpA3*Nx3qhk=LGRA<aA@n02bSaSUW?SK
z4Z*LKpoMNjBL~=Ym-+4nD+zlFYNyKqt%rN_r~nvUGh-cXi%>TXfJU={yb~L`BO)Y3
zW_h7v*`XV^;N%X?es+J>QFGO-_}$xBMb_0D@}YxhU~Fvjt%{H4H^hJtbBBPr=UC+$
z%{|O7&`M52CgUThle-rwxfmA+N;!oKDcck68YY@%hdhstAg_4@q1Y|Z|GA<N2T7E}
z1ArBIWYv3C7~g(ghc0ktYLQaq{*s+Pnr-FkXcydcEKc=Ke@&EtrsTuhQYCLE+L0o?
z1=`{vp`rVsNwBX17VDTlF^M}Acc3adE2l*K97gDn>x<3PrjZ~IWmc|UzfUKvIXNX|
zUYSg7zMh2+lNlh8y7vRwJpi+1;nQ<t0G^AJ(SK7rojD1(F;KBYuh0frg@8yM^srAu
zGlju=|3IQHaA`0w2L2p`TR^}ehs?Ckzf|)u665j=VKg?7&EG99{vK}is0|a?#T<v^
z<$ffmiCIuxnv59G!Z7j3upxmERR?Asi|pd;EDyn%2u%%*eJ~d7c%_f<CjnoHhdUZF
zMMp+(dnG0102`|M-5$YB@8R(maFe$&1&8&iUF@Y?feRh9)r*2qyWO%*BUDWt0ummh
zHp1Y<CR-gku^u8#&wfva@BWju^LL{B-6WY=UKvsA%R71O!ZKV1rFlZ<c#hh+tN#yo
CF?tRF
literal 0
HcmV?d00001
diff --git a/QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/sphinx/_static/api_tunnel_comp.png b/QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/sphinx/_static/api_tunnel_comp.png
new file mode 100644
index 0000000000000000000000000000000000000000..39efdd9b301a672a9a711b3ee8aebc360fe4d194
GIT binary patch
literal 47364
zcmYg&WmH^Euq_q{9xOP75Zv7*NC@uk?(QB!a0?z>2X}XO8Qk67-QVGR>)v&L%sQNz
zBVE;1UDA6KA}1q;jDUv#0Re$5{!>H&0s=}20s=DoBP{R@NwZo7aNu$hRdZ6bHF0v)
zcQA&K)_1bAvURdDH~8XW?BHl_Yr{g%MbAY0#mvdc&XJpe!TNtMptp4}WthS}B>^4+
zZ}(H(5ds2L|NR45Adqhk0nuPDF7jQ;E%kWCR847aG3dfGP@i%Vi%LQnvhr6b)a~yT
zoQQ+gJ?Uvo#Zhqq3JQu=iaypUsmh+uo@evT!5==v<y~`2xeH|aZy_Nl1YSNnoX}L6
zCYmCgo1WCpDc~T%LJNH)`SWSBiK<ll*C*g_5k(3=iTAIv6TZp814p6h7#QmJW3Wby
zAQ^D{C@+a#@O~t*5QmEY?;bkwO!W8X6p+Cy{r9}uZ~yZUyl-;e4?Br4u&@TUwz5u6
ztUNBq4TramyCWpDv`C(wo=wh2eUl(bX`&1PUw+ab;hD}yvy_+!w<k-cF5#1t3gois
zQb)6;_6`mPleywXMn=;+Q~$jT0`H65%fnuVR0?~<oUU&gpXco-G_=lvXwt!vk(!2=
z*;38Mtw<iX{j8w*W>*Fbaw)y8Kkx+HP6G|n^73dePj`DOu4|>2En~b_NMYCvCg4;q
ztN98)$33w9lr+c8!xhH6EOOI#+XE956W6CJDGY7*P!O#;Q5hM;iup1-phO+!rPsP8
zo1B7zU^2-BoVnhfo=>>AgW<R=QgwXZkF4Lne?MMnP8=Bcx%Jr6!pqCYm&E7E&avjj
z0s#*X?{vDHWW7{}hJm4oI;Qllbh`K=e$=uFv-ws}j;VZEjxt5+_@3V0O6w)|uqUgf
zx(M^ByrdF*E{AW3pJ@wj-CfUCrQO}R?CtIQob~nf@1LGjaSMiqhA3%hSbR$7jt0SC
zb{!Q=Kn{^DQ$`$0O3IG8Ic!kXMpNjVWhS@pD=&8%3IhW}?2V3&&bM#h)Rrmu_*OP=
z4-O7y_-#ErxGie&I5_Gpi1*T5S2spE)=F-<-lu-T4V0TZ-sb%T%cI*0Ta;(?czr-l
zXXx(k4h(^1{s>Y@!ubVTu3c59w|4(#wyfhPzT5>|fT<>S+sg@4BoY7c${TIT-4$N4
zq_CBu7m;+OiDdHTRe|WJH!Kn4`po&kJ@-Ac^BqgeoX?Fjv8;OkN^-pObKpEBo~w7_
zHufR>zB`_&>7ECdkMbd#T&?*OEIvMdb@LH3GxPcFZCyiDeZ6Z$UHKsnUPR#XvR150
zQ88gZ7>vTh!&7}j4bp&84jXrail;7x`1QL6iaGWwB=R79E<sw0lAe75JPtv(AkA#V
z)|*Uc{(CG(+((DDaQA9Hc^df_16OCFaCeA<?;jNz%aOY3LX-OFCKRQFv59$Ml@-GB
ztmdQXqvm{-;)9uDY|B|CpN?w}KFiq>5_b04P5#QtO7bP>5{=rTp%c3IE9&a%$osim
zj&TMD2idqIKh56GwD10g(jn%UUIcw4DXREJ<%e#~<@(2^-i4|w^zbESt;T$+;jHZ`
zI5ad{HiO^ma*zTO3+ti-8WqCsto3fPOq*xbeUA_#-Q$o778$Q6h}dUfzS8hvD@tI#
z))Je=6wFG*!o!oYy=??e<AGE9Lsnpxba{K*H!~9-MC1_+SlGtKhF@41B4FZV?CdJ1
z=NQrwU8_?@xkfCkHP99ybZOEiR;oV*HJ2myeQ>UM1r;nFC-Rnwq$QcFOW3x}C+z(9
z>(Dx$Cv0CyNf+vEiH8#zI9zyTWn{?d=tdj7*V??_y#N@=x36D+H#+WB>2*Rixtv%m
zn@nVjUhhx%R~q(1**%@qPvwZA#_D77zup`6Md0`6ipSz`+I?AFT^-2~Xm86ny-}nb
z!Jc3?uO%P8dwa!?R~VFphBI)5-1=IiS5XlRo5lE#VKj+a%vg(Gt@Q&0ej@fDOI!-=
z45<D*!;JgTo1iF<T0nqURaJG<i^%dHzf!`0=9C?t`|#Kq1%Jn?is-eYF3w!M$LyQC
zrbfoUA0Vn(tM9STNXpeFtwYzQ*NZ{KJ!`dCg?rD^v!2tNu0My53Ur>fcCh#DP`N~P
zbcpEb>7C`2Zw9n{gjgY~RnEF}tcP2LJ=L2rNkp)GmRsQhx<2QtplUW_>VE(hRWm3b
zt?DoZX)e^hn>rUNp<wFgDpz7ye^^rrcqO`MU>#0|C_nj7qSb)vN&!dCRnu+h`Q1OY
z9&{68u9VC0??&mWR@DN_L{ehH#>(n>L18unOO#Mue!5ZxH0|6@%?DczVt0aVT~KI#
zOtukV23BiUG!_Bv0Ga%~jY9jmRke@$SUh8@%LFscqi^bs=o8~W5SS1#W7XK?AlsY*
zr;Xd`0u%kG;)|GLsKLqysMJS5mWht{tNwW1o+?1(wJ`P##RHZb^SAk9{A9YGskyX`
zIPg1UrcyFPM6mSY2dhc?zpnd8Vt1+Jxz(tvrKxiJjOrp-xdJgWH8nnN!~}R?=#;T6
zmVNWHdrsgi60FClDRRRW@1q=XR3G?hGr7&}fdOI_kHYr_VFJhe+T&LHCnz?I!p6cA
z7#!ZuR#`sMLz$&pqG!yvyuqf7Rn0Eqj55Zh*{pcNdKtp+Z%k-zk4=gi*&Fk#EF*6w
zbWio)X3e!vxNAUj9gN&Aclm}K0?$0|`Z-mFRdtJp;~>7)K&QO^Uvf}F-gYjQqT=$n
zrjejZ{SBLhm%0yWv(F6wG|5r-IurX-N}3rSotYJ@k6QX3<D9k$3iFu{)|epRG_lBb
zG%ORp{b}f;2%5Vb&U|v`_M$xRWvj=Q&VVWEJ03bPrT5WRQ0m+Dy@mYiv|X}bQ&yUG
zzkZf)zSbFrc;Mbs&i}^~-!wbWiQM9+X`8z>QJBxNnyGPQbG-lt5s`vve={B^B8EYw
z?W3T*K2^w5?BFPMW<(Tzn&*c}wkGIqo6~L@S8q{ypOC?}d<<~qVYwT`V^l;>R=l?V
zv=&88Ue>`9$L_@}gY5a?dgrs}t;N=(!Pz52?<83YITxObqS1jwbjvMrPI7rG`2zee
zy1|9*ABl{4+8jgl|8%2VOM1(7B@<gLSh^ZOSr`^9*-gOV&_m>=?<bTpMqGyWfY{ix
z#?F>(n=9N2k6Wed6w_+U8~%_4&2G#gA8YEIuUDMdT56Bq2?eM3wN~1+BR5Gzqi*@`
zc9xP1fz(bNh1e%o#|&<+Ix;}Gq^lX~O;w_7Ek#^bsBW+OG22-9Biw<Ua@p-IQ`3~=
zddE?HmohFS!MpiLX&O0g{k_BP)G-DFs|+wXkep1o(MtVXZyO-mE`pOUThKdk5aF|Y
zjjjy1INO$9lV6!IclNqGw(Vp5P~mujrt*Rn6%i4$lowu5?O1m2jlcG0N^*pKOnzeo
z3+w&j+%SD~&C9my&Cal3ik_GGb>92!777A(bsiC4`Rdipx0#lRM-wY5GV<N4KO*uk
zH+^XB6r|bPE71-$gBX3{kU^Ywb#jG>JmwYMT_C9LpJSLu7Q8+$8)ddj<&8u5)#{Ij
zjY>hIs@VRz*pQK}fb5ETVt%6V=hJ6Q3)XK&##stt5R+W3jg~&`@<;QIXKO=$D_1J$
z=JY5jS?TwkcEdXL+E^=4w3nd&x_#;0-0HuhfW}IjUHVXKUD1R$1lm*5QIXNNsf;f!
z)U~ePtGX^H<m6d&G(Cb?v>B^)5tj}_0_m}hx>J5IPU<pxaFFCh2tYQD9CK({1~=5O
z(&>ld!7I&uVkyIB@VfelIMr?fP8xgATaa9SUFKZ8Z%}V$4QqMUfd1<|dzoh08vyD9
zFY3IO;+K>KI$U9NLj>!3&mYI=IkFxNvzZM$FZ*7&Ba+}HVuetQAB347c@@`6qTNVw
zgLJzIA){C>+t7N#PrvsMKy(>$PuALgylZ8SzGS8|Hw8P|J=xE`wT5-`#Fl8&qsU;5
z4uN`;sq3kzsB_}Opd)2Qi{T&3%yZzQ5b_!-;)vJOjZPf!{-_k2P9>8f5iP{q@IiA*
zr`JlN3u$c#T_EskN@vDftA-Atsy7qJ%YKv77B<(%9X7ExS|}OPhxI@?=*rYIgg={t
zT>BymEDt!YYl7F@eAvvFoNWS0*2Ab3_Jc&M#>`&M!Z<FD#HU^+nA~aUQ5i20j^gUG
z^o5;X7wu$7coXr14B`40#O<2R1SCCJF^;R<)iW^9D;axcyWX?(V$&FadiBN+#<4K}
zl`J)y@$g_<bNHN0b%vqcq2%qIpTaoV$Q~D*UK0{_*2tdbQI`Lk5>r@c-ThSTvm~W5
z^dU~BbVN3{s83Tqf?u6100c45Q&haXJ81{mi(PMh_!t$oorHP@vtGUDYkC#q?d+&0
zIW@Ll>YMh8Zmc6pT)Ej|fO5(yez%X}H0(%5MmlHIy!`i(xZr1BUe#CJlpzn=mfHlK
z$NE^$OXC#U#l@SQ?&-??i7Ul%gX$BjG6K&ESiGlsB|5+BtRiT03YPnW8v*yCwPLAr
zw_o@xr+YbK?fOpwo|H5bpNOVHo^;ZB7{mk&E&|T}RbD9PwYb8q81T%v)8SHKdFS&k
zxvP0CPYkB3(4%12x61A9*_wHaiJfm^-{r_r-#_;Xs6Xu8TAocKdA|<vLg;u1=H;Me
zGif-vAX9^oIqum<z6@k<h$AZVQBu(wFWgzG-@a(X-C~t~=L>YwA0M4?ia_q<7?1rW
zr`xB~BK0pVT5Qt~v#yl0qffMXB2LHG^e{F^VPAkf=I^P`XW}!=4PALdASB2d>)g5H
z`OinMxE~Zh$uCmg8$9aLX0*;MlBtg_Ozm-{{gW93`v8t5FQ;X467%O%qIz^?QqXT(
z{nWEhr>ITv_mlT(=C4m?2m<BHY72PrD_^XRVRLFuBD?zF81=@}L{;lTF0;=V_Z5z6
z_ydX%*<HNl=Uqh2myiRbArJ!4rB7M*B|c9dGz$84)xk+TeW#qR%shlZpkTz*qZIg^
zWyBw-F#MtyPj8#$)G}q1#@=d3IOpp9O^)qv>k&$|t9CEtibTGO8(a<f=`4;15(>qa
zo*+P;eV!toDgLIg>}PcFx4cSIVJOSpQ^q=O<^I_nxQ4S{{EugZ;rZn}>U&cC*?7EJ
z*bo=RDC((aWre{+tMLacL>)gs+hGU3mB({*v-E?9CeNNEZ%;c+>CLv3<-V;Wi#x0m
zCtBKS95*Df&cx+wU2`d}|4Q(uN&cR;tvX#?WQVzGwxrVZvErXE)Ei-9&bn)FtXhY_
zpXU_IYBsrfqOETPDrBuU1`Mk?QD(`EfgrvvJuqepf2oA@fvLak7?hFLPYNW(O&Srf
z`_mglmvJ>J-`$X7>Kf}z^7hgob7Tp=-6hDX7vq3Hdi**hnFy81AYf6ImNr~mKtOK5
zxIb<gmBpZqj38!Z)oi$Q2&sfpuaJC2=`p&?T|7GbAZ~ShWYe)%Ty-I~VnPoA>x~k4
zDV#YbtiKgBStc-lBc{uZ;(cnAxoo8BZ^GaqDk>Z>sjtvIttpLOa2OL{&vs2l_IVCu
zl4d$vW;oK+0B(!t6Sg@MJHDsnzCp-y9Q)FAecHh{79pyrA)}!{o`0Ls=td;yxDX^|
zZTW2KV8E@JNSt|AaLW6#k=F9iA;pR<CK-i?4nEh+nK-z9e(05`ZaPh7Pj1d2?Di||
zcfUv&E4x!JsI#dgbhkZKgb26cs9k)zA;JT<x4Bn*m1@1F81}KuqEk$4J%fO|{pQGD
z{HtM=#OrZ#&5QwdcUk81<8keI*(XsvWSU4KxGyAIUOUj(%@JOl`mFS~$gbGOajz3S
z0qi5X3qGf1&+cm{5ZjoEc9eYn&y&p0%UTE6n1bz@5Pg9`%+9L@L*@G{4QEz(F4XuC
zHixSqnIjAE%lR!40@V7>^h!z7jY8&79;a*apbI;8I}`Gw7V8J%Y`RwrfBqZ?=m1ie
zvNz!!JJQ=zUAa`QPe>2W3OPE}*sZsmkC(zYL#T#Fk3{S)OnFPw>h09fk5#2+VI~HY
zOGt?~Z&mXBdRwn_5>Ht;8hn9S15O6!!Ut<O5^rUkcUXRh3IfcM&g?MoN)aOFm4U_r
zC58*AN8v{vk->W7bd^pg_@T0Lno!*J(3zzfaP0(cL0eDY3hxCUc6uH?W~nYyhUZA%
zU=BXGz>DsLIj)+mZ#LGc`=6)KKnjC%<=|S*s0;=5i-@e5*<)}I5Sv+c(uSB+yr32#
z7<W&7MEaFq$GwlT&ISfco_AGsj;~AU%3mL}G<hzD>QN0XO(ka=3An{ROmR`qZ`Q4~
z-f%o{iL!anORtn99l5{8UyR&8py~MRx-zpI?gm*q#wu!cNrsKS6*L$bcfo^=_8d6*
zV!LsZdIYX~Z#2f*st*VReEqu3lL$r!HruxXF$nb@s=Tdnkt$A{nAfb=dJ}Sut`k>|
zCzsj@S!~lf#$`Hr7wb86Z6Y}q?#}$h?w{7tGEbqECGEc6L8<qO)>u2=s1vY0*sA$-
z$VsW6BF@hvi)K0X_xa#7#k3#gvRhAtb92em?#ED#wJlv5?(mFbd;3RRvBsfbOlYGO
z;IRODpKrSnTc~fVqH54=|HQBMLcN1WcN^)_6CV1-#p#<YJ`yHY+~3rH;B;j8l5~tQ
z#hkUhS*q>>4)&ONv=vIai3(3|sH=AM?zYj8&tr3yo}zC>@$I(7@@bLa+dnr*%$jEh
zN0IsE%@>xMwFmvBhV`MkI5e*XuMfur(*-Bi5>ImNQrLFOM6OpRo(NnjiETaXx;$
z-mY)Y5XqTvsLTBIQfOWx!P)t^C2od4kro;;Gc2j1>@xvT`i-Ujq~tADD=sFb-@AHG
z-OI}KQr*O6X^_SLktxfvK|K?_wtoE{jVR(68Uc~6e?}ox#}fhH8AbwxI_jWDWG!me
z-`C&dJpC6a54t9Ix|pZ*ktb#IApfQ%bn|t_R=U<0j$3;l@U(G|$ans^`S^{O`XAum
z{&_X2*HcLZYOcXIzSf3oP2Hb^Eam2vk;*fxYO^$@#L(|D^t-e9*r;FD>oC}wj9kUX
zzU#+*PP|wOk}PhOHL<vLPAeXCbY#*5*&1_u_crUUNE)4e0jG~{4412-;ZKFwXfJJT
zZT--@14{*e?AK%btE)CtSc7=X8#8igEhau#go9L*TkGyHu5mBCC^zcqpK?W(`lI}_
zFcpDxIZpRzKgfM7K;0Hd8H%2VY?B3Ci8dz&_$lMSMn}@Nf)+V7tq!V)!c+xvi%L>V
zCgZv<ec4S!5?P(|Fe=Y)cw^<2(SkEDjdk`L55(lq73QxlIvMxr7nQ-C+BjaG0!_#t
z`zZ?OUiD9KuEynnWQ;56;oB+C=&kY70;6xxpmEpvYA0t+)mDE!Hv531+|tq{$d&QR
zw2X|Rczuy)+HbYHiBV4r^_K~oeU(P(=F!?))a`5OLL*HGcK#cD$L+l$L|jc}?@Dj<
zhPQA?1X6ZRI|Uly(gbNPUzE(gWTT3hhYKX!SYGw+x%ez0zh55wTE!O&ijHpNUn5-!
zGfhi!)SAJ{l<`FSH#6-A9|d>Z@DWmGagfN&hG*y8y=P6MCNFd#kU%sgT9TtbGcA4-
zq#onizv)4M)1?fbVpjV4Z_5QnUT=cr3#eZwFA&bZot{Eo<E=(?(EG$E!V9z}ZUS+d
zK-Tmu5JqKe0c@5L`q#u>aF{!fiq2H1-}LB(HxUu(s`ZepE3cq7AA`k2AhNm`I&ANB
zd&_oKZJC~;{a<^+*-rV6C*(Lc<v#9Wy1qQg^+$8Dr#hSPTO?ztC`O=j{DI6kb!f!I
zQvx9jm0)N4fgr3OYc#A?qPJBZ%h#!d*QIM{hSisdp23m-uF=A_TrMEn#RvD-<?k^;
z-&Z_ORz8V24*7y-rv1qYY#-|r2MZCPOpLK758D{hv}hT#wH@25uiwjYvItmQP4L6;
zoN|@=M#2XbkqCe0;exbdypx-+wSFF{Xr)#Y<ed^ZGsRLF$)#In08T6}Yt_e?U>XUE
zYV(As)#x3GQe}R-J6TtGQ9r&TkTf2v9ICXM_CW~`{iv^}_DTO_adLDmWk68()mD&I
zBQ5><843ktT)}>U2?V!%rKM+z3>))R95ze=S5;;NgrrL6{#w^hwVC~c_FlEn@j?d?
ztxtE9aWZC-stP*S%6xNk=T@nCnNI)ybjpR&--$DBYc%KL0Y)o@TeD+w<kZ+02SL-O
zGZb1*^F-&2KcAFUf0w`10ltUvoM`jM&N)5Sv`=CrP2BQ~nQz<tg1>vlC}RzsX;-jW
z=YXHm<ikxD7FNAbMDrwhLrBm^bEdMa{%}})HD7nb$yq$HkkWpOfT((A6*j`-frB2Z
zo=_2Ge9TgYh<ZUz&mKpV_HusZVrsM}6OMqov4StApp;F*MHj>eUr5UzC)lMv^?<=<
zv%5Ew;)+&TAb(TKtaV`vE$uiTVtHNck*&+h;d~}!-k6a8`Wm#1ek3bBqxHB!<rFVU
zbB*;jyDwQ;ZEsTksvi?d-F1{xCPsHwe%;e{V--g&Py;%m8cy<Bsb!s|var(N`!nQ@
z2P=%b!}S*Qy}J04NfcxME&zral3>{_&L5wqJ$ebY&bWuqf1fRz2XezlB<e(bq(O)G
zX2Ba1JMOO+Z3LesYPCtH&7{Wox1NYzy1VPGEQ&2knyJg_*mk>3k-l2jCYd1FT*rHn
zrVC3kPd4GFfJp}C;EFE{LQqTStDPy${Xep%4hBaUw#_8SQ&1=>_l>^x;*Bat(&L4}
zJzj4geD|iBvPj~!Me|e`4N^vPE|${$qj4Z8Fy<NVH}uum@|e#@tnlzxnH7dHR}|Ff
z(UZi18v}KsuRdd3)~Gv_@WKzvL?>;a{l%hAg?)e0e)Rx+Amx^dalPgQ4f=1t<(huU
z0wi2+hIVb`Ob2S%11fCJsx26N>{I<Q*kND&kfw`knk`&sL)1%$F!$}~vq7-Ud}Mbo
z2=B8sXHPbAQ23G1GaoMZxA4`p=Z{uL;J-G6IE$^M<+z)avvH2QLMYAPRO5qA!{gDP
z?L!j*Y|9u}gVzn;&1y9Az?xloil!yn3SoMT`-7BxA&K5%O7l6rEuwN+*BzZ(u5oo~
z<MGyctWPAF?$R_MrxrNPIS%^3!omIFS#8h!9}-aU4dl{=fivy4#y4m2q%p1sOCcon
zH#wSCVqQ?Z=4)9Dq-V!LI^`4;#lJA%6oYl0|K1?FC@Rdi_&}%)H?y3QGE)a{=h70j
zTf%~FBes?}n7G2A!>D=s7mJm9oX<qw(!V=d?nzUWv;TSWu(!36b@JfbLk#0ejvfr$
z5~t-#74$K`dbDh&YAjZTDUZbY{iE1;=$WiUAj#+?MkCHzy`6dDP5QB}H6<cxEr~Zz
zu4!xj5jCzZ3%h&TpS7LQnWC=DR_AlxEa0IU<^%%KqB#cRNvK%)G>n9c>m8wd1ZwhJ
zI?9^u>^&<ie+#0cVO(x<#wzGV`kjpr-)!<Z+yBJ%gbx2H_FWrU2um!8D<v3}Ewk7r
z7MFAtoHfamGQHZszmCj%0ZqG5x25wW-JbBx*Ir>V@V~(oSdVl6yGx{YEm&%UO?cE@
zFdKQ2su^nVN(*$R3R1rt)89(Yye-9DWeC?<d4|8f(Ua@{0_%#fTRS04HDe||IAZ)3
z;#jgAKajpv7+1q2P!8_&N}G9{nl?zy@7ughUvc-|9v@<K7V1(GrlzdlYqYiqe2SZ>
zoKZXF{5y~XO<#9Tqh)XP!oyytZ#K*>@72jFl@ukdEPnC`Sr=I^r^5>;t#fnsrA3Dw
zC04H4`<G6Ng!=3+i?e*E2ITl*%~5hGKNxCxF=j<D%TxPR(#zUIrd)QND$Dt<+2hK5
z%HLJO{b`oqidDjftKN$^%b`I|$8^%>nE47j4$oP_N|%QS6-!xDljj>4a2X1%Rz=Df
zzq!U%l~zoghhLJf&3A!v19Zz;iNRk5kx0i2(dRP!Fb{5@HunbUgujj-A!|`m@2Y8h
zPKnCc&3Nf=kW;hTF_q(c!{_*&^0kT4_f20%L*Ztc-PzdS&Th3;|65_BJJQQ#kj0s+
zrIG3?4w-%tlUjOAM{ee+NP}u5!s+@g5qsSR4w47bqt@}tt7X*~h!aGk9a45YG`0W|
zD6(+DE}OLZSSJ(jPfnwR<tSN{nl9vQuSNN*3XwzEp8pCzt0-H}`Nz&9J5Y?bvVQ=*
zP{!Tn(ApG_dS)&5*RsPaW$Tzpu$8<zV-)+Y!2Fu*Os8i`!|}4DU3pR+k>+g4;UGQT
z4+H##<K16kLv)@0IU~9Z8Vh~-ww#FS<5pp?4rZ8Rw6(cvjL^=RsW$QaYFS62uv)YU
zSCx@Zlk@mzBEMRo^F(v1ToK|$7|Pv#<jYWvhJwT8d~9-GC~1h5xJ239WBNYv=z8St
z6xC>hGw)7Qs7Z78K~hWO@^!hzPH%#LvdkGvgW)IH>v96pQbT-Hh&+_wozntf6I0Xl
zMgHi@`Sx<Vl*yhF3qir*3I}U8L|#9Q)@JEbRt3oOtV4tRgY#Zva8{-#G(^B;>E;^(
zSse<8Qe*k|M2pV_R#r6Ry0f3()N{BoB~arIiA;{-iv+(^486o*kLA<67C%xbHf1)r
z?WHTspeZTKBGCigT0|6E0r192e}r!R$^P)TW=;s+WIzYF?V4ydp5K1u-(~v}(8?iw
z5aE7eCo~*gPRmU%Y3EtM%X#hYa(`IS?0~T4z2Zr^ORIAczo93iiL!kQ*<146q%w!5
z2F3X4fA0x!{nj-G=Znh0U2ENK&DWg8fiplwzoEA4UYE+<y(tWzi;X#}PWO6RCQ`?d
zAyyI=m3Xmc%zgFwmt@q~g6qI>WwE`h)0e8WhX*L$<&PbuLoZDp^&j+3+q#u)9LY?1
zcnm)sjpwluF4mMeXu>PqoC&EjiGNtQzPQfk)c#;b)n>P(d{=lFlOc2vFv$*Mec*7t
z<7ufBRAxj(MwYPW)`ADp_C;!9tq~Pa@g(*qPp@Jfj$Pz1M)2>{E94LiOU%fKDlVq+
zZ$yjFPWImm){rk$Mrr{uyii<|*SLylJT)2S6zx+el})^-Sfopl)%H5P&GqRub`XeL
zx@;W<XEUe5#`^T4{y7hVsj)=FUENX0StU}#v9cqZ(;-qrX(IyuJ2JI6XT>2mcYdK<
zFs&LqEZMrI+0AgDj^|)GOyMvQKEV3>Ig~~^?p-Y;#`GQf_b<f#HS)3?Vvq@#2hRks
z$qMu=Eb|8X*!YB$uzOdvXlYa)42r2I*`-olC1}0*S?KL--5HiEFg+g;Q%%iIur|(k
zA*1X1!2bIC=A*^2R~nGV%C5|#iajfE@!oqFj#Pd2Q_r2S(~Tn9-g`;h>|&6rb5&9*
zU+MmlCAedUXfgLDAHxRa5AGTpz$*aHD<Pz~%-64kli!g!k*V6EHK$h=(h~J=kjEY3
z0K=CE5{EFGlGbdvM7*v+5&z1-fQpTM<t}#=RwEbkL%4XN%H`H%7QAYug-wLtRnZJL
zS?Y_^M%aSm69qUfVX%(vmpd<h3e?<B?UxWoyC<0q4Uco@_{I6U?a|Q~p3#Y#Bi(mn
z-#GHkuL&(Eaj_BZjVDli)RpWXrq(mRG+BNT_Hh21ox{+UUIydV%#tOG4dmJGy`a>e
z?Hvi*MhOI*p|6`6Q8tk%Ei67T5HwNgdMg)-wPmHcau6D==~1(`g*TN&Icdd+enh9w
zM;Xe_*m-682K9E?(2E=cjmga_7Hk}@2T&bBnsst{Gn?~={MCZW7>hAnW|F(p${}+`
z<7uF8qtBCW-U^GiJ$)CuuzaS@K&KQdH(*GDHaxgksW{@z=49)~vi3^|-im)F_{7e^
zk+n`P4l_R5p=FbK<B;njH+{fNfllen=LrJM`?om1ce)ty<7aF49eYqfQFg$g1UJtW
z#UynFmZ3-B1Ow}@Pr9<asRR*;4Xhf3hcp_@0_ybv<s7<5X0`6x$?KLD6UyoRDLH}m
zVq>S|N4WuqkNd~czBfMJ-N@nl<IyGIko(T@knQAjO3sDsIr*CWIxDlTwG&gNGeTs3
zMF{8x$*}Pny}!hnt~2I?#`)9C9D9wsMz*gA7Sad$8ZVC3+E5_^avtoE5qN4BxWkHg
ztbT*exAlBb(!!u`Z>de5??0YA^UmY?#_Z{4Sk|TWfgtf>Q`Q+khlex0Q6x+xB7bUg
z(h~7qEaI7hu>n0eokBIE=2z^?LFKbZQT(RAViZURQ904RD%ggWn=6(q{O%*FDtm?|
z8DEJ|j#`#gxzM;Zm0>E2sw-YyZ>6J?Q+J>;63?_S0{XJwvD=fnvU!+~!LLrlI5N$V
zs|AG906ym01KM5vA(i*v$nDOPIuA$s=5y#oNGVpq@^8MRhbdCdX3mQHvlXw`2?W4%
zyJKOBnszpgWS2X@JwIU3(Z>^J%OWWm+Uj?>330gs2xMeTyZsbtCHeK)(Q1HxLwVr`
z>R<j-He%LWor^5dea`3wMY2%Jq<})<tDG9gRYWa`T?1DZq6(tXV4N?y7rF~Cnf3L}
z0nLtvlqBKH4qaF-OREL>QRjv+oQ-+F099D{m@3O#dFZeVdI4VG>g+YVE9!;udB-OY
zXR|0>O%8(Ty1p@SpiQf&zHrQ$))fN{|IJ93ktZD(4u}f22!whBZ~j6XRIRh2rQb{F
z`hP}L^i@uKaCS7nXUk*UR!dgM^TR}6|EOD%oMssr3tJFrvrLuyg$}SA`1|#;LrKi9
z=<S?d%C~%TcAw*oEzvrKCMfo=;0$9Kk`e^SCjKb(cqaT9OK6R#)9J!IEZ>pFioWd)
zaIf%ZA(VXMic>fAVHDz=`7TBT=}R{2P&UnROz4@pdY}G^j+eN&{EC}n96=~$X`ph?
z{U%pSo8>Kp<D%;O6*gdNX#&5Qh8`n*KC$Q4_qGbyKt^zsK5J3roKGPf8(&<pN(0v#
zoW?DkM($+w2PvrJ8DFxr+Z`$;9Jt)>3Jlb^Adfe$#{77dEX)e{;E6WJ5l6J)bN|$|
zWme8!XMmNM;7CrI!q=~$UVDWTBx@=++4uZmI@$E3Z>?$OpG9F_A5j5qYaaI-x(}fT
zMWqg8&+`keI!N>wpLeTCc4AT}0j3DZ>6H;3MUN7K>hbOGP_pj^KK^cgNYNpur6y%#
zifF};th$XV{gyGv&ZDL5cerq{g~LVvyJgvcsPPFOY&ja_0jTmGmwuJftXzeOmORdf
z?>GF>dPIIR26am4okaeeV_Rl0sVU2X+cB%;9fh1)5l|QlCR=2Nnw@k%qusHbO@G%3
z*8S>N1Pj=|0(yZ44q_rA7JGdCT(OeGqs(zP;L3kQKcoQm1yso?q&%{f?iWPwvkP9C
zId(gHy`)3~Ht}NPdf)iY=`<pUN~<4CC83nJOe+`-L>moz!)7YAEq~m?lTwdFL9ESk
z>duBLXH)G-$<Q~)j8$FRef3lrQzih+J<YPn4?%BFT2|jQC;KTCl}v8t*Z*iJLeM$n
zvTE29=t$r?Xd<COcV8e|gr#-&%8YnGH*$%l@_IxP;zw2*-{`Nt9iVx=XjVHuiR+}_
zHecWXOHy9(hoa&58hJe+*wskF1^$7XDs4qwwUL?EdA2&Z@c?6EIkJ+5MNr6IjcveG
zh0&byS}T=%8y10*lN~ZWs2n~<1@>Rg2R62>nJ+qL2tmaI1N#mYUr-me)?;I>jpH*W
z=n-}J-EK@zON%C76jH6i3^l{ManVRMY-6yi=?AFtE!$!nN#f(Vy{TI}Sj72)w7}ak
zRdWGffW{b)t}v<bSX|ujrfthgK!*#hrf>Aw%|mjldG^M0T59#G53}mpWw+hKITDMb
zfwM@7z+;~(GIea*Zk4n8<Oh$6t<BWCt!3ogvh88-o8x=@fKoOj@sm(W0W~9%cFPsU
z^`IbZ1=QPg&C2vz1E_>q_bGTUGPzpbgws=n`6b3oQ$~Lemt0FY;ucMwoHn<hqE)>w
z`4#_q9QPL7c9A4eh{%d7F8e;hE6vO)L1A@trJQD`<a79D5QKl8!q*4(Y106O{CHOg
zHPj4QCy9<1+mn4=Z^pK6c@lV+-mhq<k~1K3@mcg{e|>1afYCtc`CxwqwtiTn5(q<u
zjSt7te8WS3Vy$?S{tT`Yq8HFwNcdS)=zgm1li5^y6*wO8>NetmS5h@C6(ox#MU)?t
zAv3X~CrjC1?JSs~X2nC?!h*LCaO8UMYPNt|D=We|S1$bXPv<+**>W_IPg{+vBS}L9
z569hpU?(71Zd}jEm6bSmcQ%k}?qI7u;07;JQZoR})lb{Jfw!fwf6KX~O$KdZ5LF>(
z5S6m^*?uC<B<lJMKApA80zf@9G&HZ*hrR2Asr;dny^*Bu;_|j3;N)Ps5CcGq(Hr)K
zGx6In;<&xs%st#L*$$45f^^$`yns`u!|A~WX+6C!rr=a2u2Y_~mTpOgR;AKpP=LgA
zU_@-};GDPZey?S_^u}4Q=e^MnV}YVemD+#n4NT@Dz7O@^td}*J4CFYyn?8(BjA3wK
z2MvW}4%g-yW7{!OML0jnR$OYKFVetf%`B*MnmMlxli#On76%L&SjM$J{OVvQ!h_HW
z#_7t@XWB=G1t;$0C{dnQII_Dm&Eh*@S~C1qPW~w&&r5+gJ2~f5zHre(yP{^e5m78H
zsbY9suxiEd@Qwmq_B?AH`N!nHzi-C>u#K?`XaGQwnJv|oF5GI?+ZeBR__bVtdBX8I
zA{VMnuTGoKs!Yd-0Mr>mNAp?R@Vn5m0xu$Ra-YiE9;x9_iM9bC>HL!FasU<%&VVo~
zUk_;%uK{mebu~+=hB^*R9~4l_vA;(Q-#o97v@|+W3U4bd06RN98&BGHce**Y{z@VO
z^EA0Sg~hW3DCA0Fh%?$f{Uo0{Z=6f{pQVo=ypnTSliyG+-80uQQP*<oPX_Q_!i+#p
ztt=Zq(dlHm{_0A|l|@*}BB~}R=c1JjM`GM;OirUN>~{<ZGtnAYW|yIq0Yq)9=iP1?
zLmLFO4aV)&mEqxZ;b+Y-8vuqE8XBrrWfWqsEhU8%9UTp*2im{$S9v+Z82=OP7~dTM
z1OV7{b9ZO5oTasCe{sqDD#!P7J;e)rW{RpyO2VtEn78I09v<!=9sq>zT(3fA^8LaK
zuglvP{*1=JMnqR=^a7C+^<*KjEv-gy_d;~Ed{&PLEc))2_>oE^Wjt0?;*k?z&35Zn
z+{GBORoojec>V!}akS>Y&)f}Bl)SxP9(<NXj;)nw#reCYmOev`&yucLtvx~4LF)M@
zf7yeC;k@Zx%Oa(YXOIx>#Z-m$C-UcqYh{nVtQw8OW)LiwO%PO$0uZ3)tat>3gh@QE
z^Z?G6v8)|1`GL_<<BhHWlc#q`s`Vmk?3e4uqw;D1Yj}IMHdd&ZzdxP@?Rj@f#>_m~
zFq-+@KR7&mdrDT|12vSgxjEI&&JJ*+BLIB89AO#DR8T)<zwN`fJ>N~SO)gCoBr6LG
zh&-fzbD`yZq!;}FT3*<5hPd>ox7;5(6vKGlS&R|=Q){SZMTwTSG_g8N=-E7^QqmQ}
z90NA4rXdNyTEgITKK<QG<usHw8f977?QQsGHSIi5bg;wsOVy*t-uI_%4J@B6;d7Ys
z0bF<#*HV1)$x${vi)McAW=s0v?DbuEc8Vp=YpIvLJXcNw&c7NDx`&-TaXPNf%I6h=
z!L`UAx_y+1&?fzeii!V99f6u?skT;FrTRF|=k?j$iJK5W{E{EFwzT~G`Lm({SVEe5
zPo}1(BBFFPRA<;BWceSy0f_3J?r#55&3b0<N2kfj$@~4BDB5&a0PHK3qQdoS5%igw
z<ZyEFLo=?kCz8B>*L-c~<=wAOH`cyg>bDfBY$$Sv$7W($YmARSVA0UGMHBUGn_RDV
zI_)RSoVl4V5x7#5J0D5&)!g?vK@NtZX?B&hd*uzD``d@&7V`8_C-*Uk$z7IbZdmHc
zh|k_GAAB>k{TA~!y$?4DB#5IZxw%|B`d4FZ%3k(QXNmnc#D}iQ;w)vORhwe3L?x-l
z|K0VX&rDgJT{iO)IG?Q&)@qCzM)CClzV4rv<}ND*fPuq~0tzHq-l~70)n9K!`>s&>
zNwDI5=rw+B^$_qaUyYh=%Vx`z{EJPR-Mx=CN#qM8y{<<+!KWlG);QwwK(31IFmF#D
z?~6iV_l@re&-9Zj-a27V_$!B@X^w%<<oEO_-SB+RlP)D?6l{VmyG|wuC_;L@a;My4
zO<kc>&q;6=H2ooC>Pge&>J20kEFa#A`#4cnixr<S8REnd%Mqw-H%|vzIfdQ2qOy{N
zwEOz=Sa>*6OKU6L>DI}K_sj{yivTGpG%+!8tTlZ*j2j48|7tYo@?|r~Sy`_=(j!0B
zswm{@pCyQRpnU8t&%t(|rT-aBO&~M0Zl};Ywi&~YKrmzRL)6JYZ%?mlsg`UxpKfKz
z{mO2Qvc`i?{evih#F*Yo$hQPS@m#r_#y(t)GGEm2ty6lmxT71XRptz=!hXE#XV9a8
zi*dP$s!K0ne~uQ)dconJ{3%YY6GOY2lV3wNpImPJ&37)j<pO0=LbJSx7boL^1~SB?
zggXfKAZ|5ZmYDzT*)cO)v8laXKrv6Muu9Rx-ku2n<+GO^E!8uuG`n&f#Jw&%j$IsA
zk3nH2?k(0?TTW8FNVLD);@_=$GVG0I^slVEBs&jl`(&%oBHy~(Z(C-3k@exdWP)QS
z+zA;=OtPN)2TNQMzkA91M--Oq4~z#oHvW$>I{_#!KC>OW1(9)JN6BcriiRp4%M)Y4
zmwU9qHYtF((?e3g1b>}HDdmhK>;*(yqUfP??e3ts#NvAI4bxmhUV9IPYWo&=JWPMl
zxR`RMSv9R&)I@(%+(cvn@*}d*4!PX_PLZ$2d!k`jT*KDZ-rHorEHNgZyC9^{Nqxym
z5%Gj#$7$%oiwb(cw<<1JmFAiZI?M)O*!FAQcW78xq8a?&_uH|ul+@IlesDw(>#Lq;
zAnj(C_izTmdo!(wgvT0;D)9Ulh<BI$#J&}lbMye00sfaz*7`wy#;(BI18N$#Gc!uc
z`q7c)@qHUWCfMBC!euu42nK`SNd>0q?twrMY}U}12!4!9i0eHNrgAzW4xB=@q@rzl
zCH^O*rnq@Pi!Q6GbE;TdWo&jPgA|OE=lGX{aIu!0HIvR2`7}hPd{4-S3Eq@N-S?4I
z5|xm&zNe+z*^zC!o>cd?9lmxlP(b!{r+dq>M0-;CV4|Am4x-tShNq<7wE|S{iL_C+
zVs`dPP_Gz;GL3s;bj#-&mX2)k$|#X+GgDp4{=(pzt^~R5JM8WAW*9>_wC9f>KQ0$c
zGtdYLkvrBq{o#?2jAl#J`~FLPXv$j*2<ER^?^dfhD}Y>x<vrQ)eS7t~nNj`o=MO{$
z5c$*HHsR6H(E*|aDJ5mF=V@aQpmF8qj5wgtqtPgVh$XnaPXBDX;G|;3-PJCjYg3g5
z{F2u(N$8yrXm^f$rRP)*zJ|Xbogaoah2t@#5d*fwwo|oS(zyDo3`358%CN08Ce_Hb
za#-Nh!-!>09Q|u?=eHb7%ZvzkRfs4IkN{05l{(h4mD{%DCqwM%yK#wZ8sO`(vnQx{
zCM%56TS+A5Oj)rn)Hl}34Qlx){}m*&*unEdSg%*qT|YeN8gCZZxP&Yr0|u4Z<X1Gk
z;*_QV%Jr2J3k-D0^z>x#($bPEruL~kM24lu#EShJ-J7SFukLk^gB=<+8mXRm$Rby3
zZ)dcc%k$CBc}wZ_gN@D&Mq_fQO5-ki!DAyq`(~=e4>zaYPJI}cy66I>Hp(&_d`VRw
zq%;$jz!<Vj*+vsOppM}L(jc%lT2&t(duo20$3OMz`tz-F&G4h)wB$j(jD(*9=$~t@
z9E|Tfz}Khff_6`{4V=m{Fxo0*JI4=Rw;8<s$$b6liRP;UVn=!#nYB0wg9-yh=DvmU
zK3QJqJdm28n8v}27GJ06K^JGj^rB*RlH$cZxqs>1iYv+Atvx4aK!_&<-u7))R<vnt
zsa_}UU@QuU7CpGvKwHQu$<9vdtK<{f@DOJzxBuT!3E?))nz7K|VAyx^=v#SAvQLAd
zo<KifczP*NpawSc4fL!&uKaGjus-?yXn<G_R2}sNe|o~Nthjsv$(}GcHEr}8AZcKW
zPz`PLg!EL0oHU4*SQB%M;YRB$#r+UER`Zs(kLbZ^xVtmB0{!$2g{_s!N;(L$_y|;V
zve^|@a9q7%7qe$f?|lt&5uiSC{0ueI?U=q*m*R0X+Z?7|y+QfKPohT31F`<6c`9|g
zX$xN}?g~%bDjMV;xBAYNiOzdOwVWw?c8-iz(<!xhyWcncvRU;)nU@Y$z0aCwnc6g}
z=#JG5&Z7+5mJ;~empaaD34$L!O%^!>fAa)k=+nRK?-Bj>Z=$ilXTZc3j_u6s&J>6$
zd;Yjs6%iLt+Xen>?V|%=Z(@P1ojqC@>ZeG^XYYGLaQ@C^M@PM%2`izrv-kk|-1ovi
zt1D1A=!6pWa>QOsP1$W;U-z>WWYStYBD+o1+W7pc)!pOj>KM<miXSSGKfmTpG$hLs
zJ04sTb#T7f@rSoU#tRJ+o7P?0cM0_M(@GO>ndoZ^n*|FhYbX4k+j%DNI+)Aj(AMJF
zI9eB`Nf|;p(-7ubNWMy?m)O=@rAOI2G5$4-1`&$rv^=$y3ABlTD!9N=dF1SFXzp&x
z)rccK{r(*XPbLR1FPsP^XUQS9Y0w=U@iE)*7sV+!Q5vRnCORQy%#Y=ugwHDmSxhE-
z;_wI{tgX6289wtU7EN6qr)SK^dk?)AdI{P9irk^lzXhF)Z@Fn|m^6lQ?+fp=wHy_7
ze;@VSo?@o>S1Lo&R{!)E!5Oumndr`Cp@KW72P3u@wgBilAfLkPtDi(LUKQrA8W$|$
z5}mA*kRuEU5enT!&qjS;bs7~Paa;-pqiQ;;q~0L(pG|)icP?l@6y2Vj{9}36@gmUX
zjEU{EF81y0TzFQ9gP|U_z$>7i`=M=*J0rUD1NBagyV;3iypr&iod^>XbK~%E@fr3O
zQ%Fl&Mg<bybL`VB>91KGdO9mgUXsJPQ^Uezeif!RWpm39Ws$exkx0gZdtbV|_(IHp
zeuscAIcj*8Rz4|d`(J4DgAy*EQ00CZxuRO$-XZC%jTR0k7<L4*HG+k{=BGJGy@Nnu
zdEd+0MymmhzQ7V=B!|L(#LA_W;A@9TA>|L|S?JEE)P{=A$7loCns428z0K~giO42P
zY$=t6Ma3XKU41rKGN+?$VJ$11==XGai4d-NX!xfn86G&-xVmy12~n1qoP;9G7FOEm
zkM2h@Ze-cB*AQ>6{D}VQX*}b?YIkQ%Q#>I>tJ<dI%dg13sBiKb0GlR6=9o{~LxFt4
z&?EEJ8w0QOVdn#h$P1?%Z-jq8%^seUQ=Orj)5n*u{_u!al4_aQ+E!j}EtW{I{*VDe
zoqmYsQVTE0Ade&%4JBap6(PNNq47N*I?i`{KK1kBwrs5(M$7J{rk$v;dm;H;CSasB
zcZ-7B_rYm5`ka6NhP#j9C8RDLJx>Ir5k3u&BPCOI&oaL>|HTh<u6`%?&=9oz1@m~$
zUbOQaRmd;endbil2qJj6@2nh5|5dArL`&%e_l#$M|JGzpSl9kKIa4hS0{;NfV2{l4
z6b5!Y{{;izNtCBpm**xU0RXnrFO+RxN5iJ6HEnDXM&{w)WmWl^523o(qLwv#4wUy!
z(g}XPz4c<nqq|!sviy%eu#a3pM}_O_%F%MXQmP$kCh~sOK#969CTf(5$PH4>e}siq
z-A1%uVm!-wI}##>?^gU{H_UcckFjH0EJzI?GyVAxl7u}#OZm0V8QU`PD<0ar49t%!
zrt|G5oPMv?`)WnK8)l2Ot`_jQy73iX??hS$tMnH5kFBgiEb)btWQ?^ea;WZz(cei>
zacy44^boOcj@9urXhLe2N1JJ8H{7R41Xd>sBBVeQDfq{}mBQ!2{;81Qli-}{_jwS~
z`d&O&&2WeL8kt@r&#`Q_oP7b%RYgd1coO|iwP1Ax_z;0PH5`i&((kZB6JjL@0DHL`
zuCPN8oi~O|E2ihBU)DIpJBtM>6mY!{Ucpm^_!|XjVrTtL?SCpj(H{6xoEwbhm-f!t
zfca0EFR$$Z07|gYSD^;rCkUyXKTW)F&M!I`_Je2XMb(l3!WLd-fNp7SZb6)8|83QO
z4{BR(CQQ>Aiz8yjv6TcG2Ejl2GN+Pghkez8imRbXJzOjnrY6+B3R8Wgap1}9vd@TV
zr5Kx>81-LQq<3Cj%V)YFj`2}e{qIhjUBve6sRQ@>S4iN6AN4!)5jmjGuVEgDtOx&_
zNOLxgy1tB_xuuA|kvag6;G=zjfBw`U6)j1bm>4iqB|iZQuXG26ZYk7yA;o5iR>-HW
znD%<2t_d0GH+DWi)CzP!9cr=PZQIo3S{^t<;9}rWuX-tp0Ze@(-hnC^Ua)srXT$Tg
zsp#Hy%2HIGnx$pcbZy_XZvoRyaTT!R4N%N<TiJ<!4ZbBDnEf%c0<146GJ~`t9<{7U
z1sIYV03jer4(@pwG|Dx>U}>SDj`uo3n3(svnKJ>l<WOC3-YpetK-QQf`LFsJgD5~>
zeZ}s3=g{?F-4gSN>9~{l^MQz!B>~cLF!}oAvyY`IZO)hc;0f2BfoC5!l9wV8KDm7)
zli}1@IC~{PyX*;5>ZM$1GmDGHbvU!9iU1)fnB1f@aoFC;MbAsi6;KSo)7lH-$mG~h
z!s8!b1O>zXcg=47+q1O0Iv46Hf#JLRs8Y^aE@XH|f^Bpf3Xb3XNAN!yAALsX4^<s-
zAlH)F)`o~vkP9>6=uOP<uj~X&kE>o6T^fGP3S__@ulTzwSLTYo2Xg(*!Yq+}pNsKC
z*_Yr>h*)BLi~rsbED$fDV-EzD?svQU@A1D89K*QmC<E37WxZOofwz9zL_oYF>Recj
z^dtEW7y|33ceTqC`^qyBj@D3-zEA6>L`Laq;HsXUgjNY)tjHq9Cs2R@6|67eUC*`|
zBRg>7TuI-{2OxOCsrk8b{^Wh-kO)?Nv^O~xxGMr8g!U4x*Cf=WBvk(Af(+B*k(fu4
z(shbU)4myEk}m~uDtNlR3If!|EJqELbim8?*V<}70dzDm-88fR<oL&Aizos5?dfl{
zeVriqF6n&Pjo2WUZpV0t{JZhm2b=_f<>a*b*6UhJ-)T|rn%sPSv|zLF)U@$7`1kH&
zTKW%lIh;$}lihRxK{nXqzgdw;Ob?;wi*<iX5;nKT<>2F01Na_YLsqP?vBtZ{(m+?y
z=8jm_Bf8oiZ8YlL*!-{rtUGEWSfHPr-q*L_Va(5#KWTrGF4q#?O4I_&$<4c4jCRyB
zfPduAT=c9k`~LeBG0M?Dm#IYQ&MQJc%whUII#^Z^o=e%htfwspH>{h+J9WpH-Gp3D
zO=qaVg%1#-K<xdpZ2F9~vCOH91B^AO^JQq^O1g18Y<WrMy^I1#$*ZRwBJ<IhoREe>
zLioX`FLysJi$_~29A9UM-zO1cPqA8@H~RbBxl2P6r`mt7SY4~Z_3!L(e0c(#Kwj1;
z_xdxKrXyB2wvAc+ZmYPR<>}<XWQm(|!Lk23<hq?Iu<q5Gl8%~;<Q2wIKx3rMIq0ya
z?3SeM8gC-)Z#n?cp}~0rpH#>%D5+~&b9r*2c?x5ud3=~EG-V|G3jK~V9y^3?;oMwP
zK6PCR!*IJ#YnGZ_A-smcHLW^q={vkXE>`xsm{{RubLX^etsbCe`$#gflaSzW{OtbK
z+p9u#uzYp*=c+QKptwF&%B~IE`t&P{NmR3Y)A>Z7?-usqaDd~2m2L~7D+7l|RAlbm
z{?9g#N3qX7l`Y`I#*GWK<!hzx2>NAfLDTd%dxwZSN$!6mL+VG6IChRmC^EOsTI!>z
z$@M8Edwt9mwjaSExMsB;Ns)Q{1DI^tu*;FkUYu<i&1rYU?S6a02LDVsZR*ly@&cl%
zEDrwwa6`e>2d`D%^I>XY-^Y~xbHp3tcX3^|n&aZlAof|B;B4u<qWcAWenI0${&iw(
zlsV+`rc7$*SL+FB6;GXa4CTpN>pAy?n;ER68yp-k9OR(kYRljB0#tZ)9o}EoxE2ZW
zoUe33g;;?L(&Uqae7@{dNPoGvId!)|5_q)@`7eIexSYX<O0q4_x6@qRsyE}w&*9~w
zzIXV=fzJHx?X8HIShZn)WU-BaDVU(EtE-~EJ|Ado(`q+OZ`%XbU|HT87!`$zf`S74
z!vOo|2J^)+FnG7D`LwII_y3V~)?rmX;hQG}L|UYzM7p~h1q7tKLAs^8M7osjl<sbj
z7Lb-M>CQvv&hfjy-My~;mpEtMnR#dCd7k_J3<5VdH;Km%*$Whu{rjf6XOHO%lXhaH
zPFlpILics7A7KwP>J#II%li8y28fxbmb@H>+VzJTnD4uqSGZ#x4v2uq@iEZB$@6Wd
z&?BQvhpz0}k#bxj=hDbx$@XCmO~==&t8-vb2WOhnWp5&GYNW0-c<A&ux*#chyobo=
z%cl12S9FYI2zrKugcyL_y0NLL)}jvpJ1pAw6APS=y@PTRkg=&)47;A86Bi%kLO`11
z6h!!}Mt!ItU12d*j6*IN^`o}df$O;Cs5!hl7^B8=iY|dcvkQ2`-OtA*_wRPOWFDw5
zVgH^a7#UM#a(j9m9t^|uEMf*m4(5wmVJ9#?T40x@9TK=}|J$#1wjeh+!pz4g&Etdd
zA<b&X{(HI6LTle8NmfCk<&A(q8UefM-<_RbAiH8<e+TLVaf-PTr}vQ2$tFj$$A@Fz
z$r>~H_Ukp2tQ_aPSb3q<cy+y1kR<*A(#rSX&(io^qYzMVVLqSlC?+uLkGQUQOM-+w
z6g>eM72b{(e*C-G<aqHAmzs|LT@;4mNXX*!v_}_bpE&KnVrHPAbI(!{6>Jz^WG2Ud
zdpw#Aa%vrUSU!8v)@hA(ArhpHsj7gt7b#<?MJ8p&JT^y}q+~<?g2SaRj}^`0jb*tW
ze7r=i;nmR+m=UTO3Plu5Oi_S0p}A<bP;Ub`1QA5M6OG<VN-qKKfoh?#x%nkAvCX0>
z_+?{L6UaQ7EK)Hsq30<{d3m+=LK5QRzh`FJRfoJ-7PWz8sF#BUDqMv)b?fS~N~Siw
z(XAVP^U0BbkdecGI}%$BZjVu}f`e;TMA~xNpZ||G@uQ$X8%mpaC|=ONeX6UsSeQP?
zYmv_D>h8`RgtUX?7HH6GJYnG`_Pv*q+hI}DdE$Ahw#rHxryBGGPle;xXS<pJV3OhU
zIpp8YU^+GZOxpRi?MY;n3vCYiz|RcetQJZK*p2m=n3zw%ZdVw8e;|f#C;LO$K-)_|
zw-mZ@vJtXl{4IBR`$tpjTWYumnu^VQZD(I!5XiE|UJwuvxOsYNFZM4i-2LxnHdRly
zsFhIi^S2B_=I7>C*VaCP9_dBEDU-h}D<*mQ7dR@#Zz$1}Vk?2A+gvF1o)~6SkOy@^
zEZrV#y0@yxBH8Tvk9Ad_7CY|lsT}yGVke6tt<XpM{$!REeN<Gg@Ru%An=Dah2I(v#
zor0Nt%^FiQz>UDY3XP29oFg%qDpu_~4EXW|a4xv!sDy<xudm(Kxxim+Y;9G0UfHg5
zS<RG-SIl4&Gr9^+sr2oJeV(80i0thrPA4|s+%pIMCn7mgX|fAz^fpgKLp$c~5#(_V
z<9J+qHsMquJ)gojhpIx}!Yfz%`C1DvKw-E)pOhyO^oRqw#k8E9w<K<VVPTHiuJrQd
zGi?_iiwZJ6-JETDU9ScMfXE4${m=wt{>Nmv|2F{{j?1_P(sa-&-SzD)8+gfK_*{>E
z7b@nuZG4vmd<rD(dTYbMINC*@yF>67(^ty2E^-I5aBqI7BZWr?zgI0~re&byWG(C5
zdpQNUaNV!0QarmRe+O0>Fo^oZvq92D8=>VBiN&DlBF+mo4X2$*q$l%M6<7es0!Sqq
z?Osh)%I*#hY!(*r9bfM*4~GusYLa;!sX*!UcRGI}cu~jdtkl=Jm|IWapm>*YNzyz3
zSb2quTkUn@aBxV^EcE~?r(XjDS*>ST`XUJ4Jv}~v4>0u>UNW^9`V!`^(Q=N`J2~1K
zZ@H6>1OLGmY-#CgOw^oQp1!m1k8a>3&<?+Jf9D{I`mj?+*Mv#~ljv=!HYzMvl%LiT
z;Q6;&-p0N~!g;rhb!y@{Gd$M^{`ELoWgf>ZR1*`Ep8oz+9T)8mAHf>aVYa!)1Z~?@
z&~I_^@%B4oWS})hXN@4^Th_4rR!}e<fOFI;^khGL2pQlaAtCvlA(;B*3*6b+85kzg
z&khd74coJ6>AW$62?+dP<3BlYjn1vFxbHg_q>I72LX#+%gxoznaxGkC%-9*m`=FDS
zdgqE-9tzQ<sowIIPK;W7gK*+Fnw9pBhz|dd+>8<?dmVcbEVs5h5mxCES%MK?$h)gT
zR=gS8-%j?X72p$Gx3{q~9X~6>0d2yL5DgKqz=4CVfjx=vW^X&}{8>t!4#*Gm#Oe!K
z-_IAk>m7b(L`p38dseUS!fx?gXl}O&cSIdhWF)k3TYtJzj&~e}a=0{Z{7~_fY?jti
zL7U9&NPH#0pOX4yM*}e}uW{iO3kes}sSW)uDCWKu1bfeH)dKd}I*?jZk+D@1iuLU1
zIh>?s`<rimyNoYxp-9l8c3^fC96sA}`K|YX?*bLk;0D8rK}Zir5)X;5|7%j2-Tq8a
zeWI>QZCwqgpniqSwzhUI1QyuJ2B*f2+qAJsd<-sH(<9niNXPA0OBom{K^vaGA+Pwh
z0ckov+6iWp2_+e-c@xqH&iRG)YhPaaxVdu)w+ggqEtFWRI+4DTTPu$(eR8yl9C0@2
z#tNdhE3%Jl3zAe&QW+ez`*R<&a*<X+JC>)u=zcRCXGh>H$$-(u6Q%mZ=8J(Qy?-TY
zUIk9;F%7wzjy(D|`A_xc)Xc&hUkJT|A!cE_q?wmovaUIo2@*$BuV5PgGfzS8F=9gr
zX7=a#Ro*4~Wb^RML6*)}_BPyRfQoyv&KDmdd=s1&v53eEHe$iZid3uAz9kP;ty06Q
zV)$B&Q?g$b(Brb0PAy1*aBOPXnsfgI$8xQ2xOA{8sK0sF9y?*u1e5zNDO)Pq-*F!3
z`!<SddxKMRUtM!a=Liz!pW&73W=@1m`G@bB*utw#l0ob@b;AEv=A7X>IaZ2dY}hEh
zG}@8IOZ1#^AQb8{NgJ@NPi%hOm3hqcchnV6qb0&}h$psp;K6KXSr7(~+Vc#hBqLMt
z`S|DdYj5m#Iee!dP9j?!J_KD`gh69s6#@n)J=G-rUhbWb$CdYcMWi>M9|#3Jk1>~h
zTtn@>lS}S-Dti_t18?+&K2_Upk)|ed3NIV$T1UU>;`hLQeIRcB4KITPr@MCX+IQt!
zyspN!bKtYOJas(Zt}kuR(JW;=?Ofxe5$t^0<8V@=r*CfN>s_eoB{2;}^}Zr{Vjax9
zt}6=@x57B<uv1fOT7h8nv)a3T9cXTE@YdMA;N+Apv*>TCt<_NqcMNgDpyXUwn&lMi
zVIQ*AmsuC4#hE4;D^;9ws9Mji>-!OtnI%@sg2YYz&AHuA6u!%C`+;(2Ge5_YmT9We
z*7Ge)|7g-vjOY3QE04ZO`%v@c-ya%?mq)V(+k`|*p#{e!H$0}nFGsWM>tGEI{+7?o
zHk+h6d+}FDM6E8Pv;O9zeMiH=35{X=O&_WQ@$w_L9z79Hy5&<#b>(8eCF*xA=$93q
zoucu}eTzwW_elw{U(TfZ{Em9BE~C4D@`E(*Xw{F8FXhe7&YmKFnBjGJ@at=tk~k(D
zu4*Vz^~bQ`;}Q-&aO-*w#+eXCS6Z)QiNH<O{g#^_2w#%;EZ=XAtRnjjL~L4FCiLhm
zH%~!q_FnQpH?h&7uTEUQ*UgOL%CU39b;vi6uS*@Nk8w0vBs#jHWIZU*sc@|DB~2?<
z#jSIGGvxI*Lu~L22hnLpyQQ)`ymRbKt;Cm-BbqG~_LRwx3QgsmVZ3fwyyesuG{5b8
zNh2PGhir}4Qv#lmg$Y5>yaMjt_SKW9cKLe7cAt)?5!w3yp4jxErdF?8*XJOH%n5={
zEisEak9sCyKj4H1(3OAjptx}Vv3ObaYWXr2!0T|l{@0gI1e!Z+)z|k`1O|Tn`l)_m
zb^vfgPM!#x%DFv>m?lq{^wdu>SjR_lu!K^kXHg&0C$&sKrd8PrK_Chhmg^_+cdK`)
z{<p-{lkx@F5#qHTn4}cuiyfU|=LFt)?O}MeL5MSajd_^wkL>^x=Y7rQ;cnMGb2&c6
zrTnDmr=@h_kVD*%wNJuF#~vMF5*3ss48d)@$oJ{ZQ3q!bXD#*5^uo<eL1Uc*ndovp
zZVR3{Dl|6~_PB)AF4MbBFj^%`ySvMQ=w<iFE@%BK<4D?hj3w;#Cl>?7+dkeL*XR-+
zsUxmD7FG}F@=DmyXI_;f{;;(;fcnYfS+-iqn7OfwC)r-?z?-T9S)@?!t*Fk3sKW@k
z3dxem+*-xYELS|~X%7S|wwT>*MsC|X4F{vLg*6_w7lg7-`$78^IFo!aNCB2Yo0^|G
zY5xp{&9eQlvDQsgwSs<?T)87(ik<#_JolDhe{2KB-x_9h!kHl_4q3nRTuX<uGa0vq
zu11q$C3pmPN-ushl<*niPsUFpAKM+@SWQHqb}e@#EpJjuT)#ij*@3@bDd(n{h}XFg
zm`cZ`s(KR|x5godoA*s6sVh#-b#jVx<2Lgzr{w_6u<1b41t?8ysVKhi*1p;>?HHdC
z=({a-n>JIe-Qw&Mq4WmWJZsI$*w)rh645)hAT44(F7#+YEc|;#PEC%i=4mcetzy0W
zr+?fIN2|9viTJ#dj<q({rlM=^$f$5j*h&mu%|n+E+u)ur%Q*2I(zTEU`hIo2WBxS*
zUrPVII(T?Yn0rn;BtSs>m@+mrpI1xs<nf6@`^h80SCF+@bcEYf0k8h?h5;f37UB`=
z@=QI97N)cxZAMnD2fDPAiH`Y&IZrBt{I2xs)a4Y1H)79WOrHow+gvZUM;45d8w?ui
zhAbS8GGD!0ArUp*U-2}A+nf)RDGilM_BwfZ9orv|=SjNn#Cb>GW*7bDC{u+uQBUD6
ztfiBrnKD5t_if}psrRO9?87Ty^(b4t(Q2t%OW*Dz?6BQmMg8fgNBsP8l(_GL)T<+?
z=g05Y#M&x{;XNkr8+LpCd}D3(Ig$4wT7>yEzM<K`VhE&tm~e$jQKn1x=@HH336FZ^
z2U@Oi)f&E5iBra)<d|m_QZaWsX287O!MWK?N2=d?sSr7`y|re3>UG$*WO3}Rx!;?|
z#E#ce`Bhh7CB~VPKeMb1O_x78b98A6%T--+eWr})4<}!F;g8C1_6-M9F<6T4eMdhd
zE}-}69==bO>pn^&pK*@byDYJMo@mLcBjBxkj1Cke&kZ>sWj7IxoGFre=|9VzCCk8K
zd3LEz?{-&`BKvKzZz<HEgR3+eSX$OCIOkn=gSr`(J~v9-!JO}sh-?MIJ?b<UNZjR_
zZBAa*V_10!DSCF0EcQEAJ-FNa#DsbLs41uC?jK+BQXNWUWTB(|Q|apX7GMS@+TUq!
z<cLwK;~^Od7hIh7&sE>4ltmK|WBI8SY^Sbp&)jNEtsd@v$&BVd_NsX)>)wqT&FW#m
zBiM4y3G4wSfuWM_T=}FfbT}n)=?2S9@zYFF8gJ4k0x_xnF}L#Xuhi((CmMO?O9=QI
z>5Y(F^OXI}(up9M7r_K>{rzdYiMrJNEeSGZAH!!ztiM5EozPA>+ii2U=6U$eCa<M{
zaveAt>}+(b4r2iFD^U75tjh0Wq|aRB;Xi=rAbi)aCLpCNhb{IHRT?6MKdkAYCgg2r
zgP7RN;H+Tb*Kqc5tOj{>EvabBW?4U4`?;NKM>)F`5FlmYgm%8QdE)P-YDyAfHHon|
z=%X4GbZx-#ZbA(75&L?Rz5>lFfrq~eAi4WKd}Hh2=XS-Cbfvu28g`8P`8ux-4UOq%
zV<f9Ys$y_Pd~Rq8jPp7lh72`U6yna5#X=A__x}BhSfxH8^j~gE5aQzZlR8de&@HtQ
z-6b?z-W&Sg7rqjM!I>P_X}`bByeYI%6>xgTu?Gi2Ke0cg+iI6ymwUrbCs)S({_L$M
z9UZJXG?M8R+cUfi0MfCz#vRt>P&WW~VqDOoIs1f?ap2?{@Q3e*4XW?eU5uSao2ps=
zAHr9rGRkDol?0dZ#uO*o%Z)jf>T;_<zX7`4Xnoy%;{GBBYcsx&wt<&$))mnGkz|yS
zrgNo^k-RlmBe{KOgLVB)RZz;q>f}%xO2bVgo6q6)4%$x}A0vW8_Fs*UdGMr38ONXW
z>21(Pw{7>k!qZ7PeU`Ki5k*L^j;>uRi1w|w284N4<CJoZv_XlO?0tL!!%}})>@AD+
z2eav4jVfY)_!HGGVQAuCtlb8wH7zmvzz@Tz2CLz~pOz2Ks^vO1&+}pJeG(e%hz_6@
zQt_6wLMjMbWtleqbAZ7VuOwbrb919JHPTp|9;weiJ3F(}I1SRg&lU6Rd}n{ka$l}x
z-yun7z086A=)TV!TXBKwBg1@m$~w<m&#Jkd?b6#3kFhXvOkVZZDRQKVi#?+*`IKtE
z*m1_-tF{@CmsV2Pct?&TswNEgFveQd$}5B64%r$pFcd-&zi5^(zAV7(*u(UebS`Kq
zLkqo&q1`7`=tp=_QZ=FQf-$`$9RA7UzFPFtm5Shp(uuC?k`7YgpV+#$6I1o1Pd_MN
zSXc*1(?$E4&2VR=B4<)^`X)!<^@HoZ+}F4{ZqN95x9cnk)(B+PXTEs|s@r@ha3bqb
z^}ea#HSnW;bPNZXj2ulC0t&9mt$-dM`_JrrZ5gynw}dlg1B)ZF+8JxsQWCleT6y3F
zE3tBGs^AjS{er)T)2&dEWMyZK0G;cN#c992US4KUm72XNYtu2|drelZtUDa6Q9M(9
zb+75+Uf(ZkBVV3hi(YJXZ<=-=KtTNjQ_7tUnfibd4~6S_n4rVRw=$N2>@(u=v3@X!
zDtmvCffT(CI0!vgq}1JVcS_#otv4mLkV*zV*iN}3k!<cHh8zM`4UPA?YmKA+-6c%l
zlvTPKFLggJZjZfL=jPmG&3XL=I$P?zo+^Z)A?Ni{KzUmgX3jF>qVrd^OUs}juti5g
zi$U+}tW)sheO$=6d;V2QpZ^V4)dn+KfHlY7Wy0119JR=b506I^Rt+k)@)f^>riI{E
zsN`-MNb_Y2W$+Xcfdw}l%CS|<qu;)|yI64?H?Lh3W<_*vA88CRmAh5tq$`_1>jTw+
zVXz_{op-=SF83K*jJ!7TWdd3Ekk^_mk2EACWjk~45U*c#&ASlGl66$ZW$U$->Pr9j
z$>f>7b*}?p^96(s<_S^A_Liy{CC&33vZ5s$>trm(p>4E$-$5VxppA`;YW_|^kpP@G
zwOS|)(HscIEaNtzwFy$~F+$YEBkqKAIJ5N$%-557+*UKt)ko1tU#=qQr!#OE*Evv%
zg{&!|NkT>@=BDtd<I}+wT=nnc51>`h(B1dvXr1G8%k!Jh$Je~wtr?{QzYJtM&@O91
z|EPTEH}^K6V!0hef-`#<CgXBK>H4d<M3!>hAE2Gk4;p_-aK0tOshbjIy1mG_VZ6b1
z-KS@&JpRjxgE8*B#1ivG+l`XfSb#XvOM69rOifIwQ&EhP3p>k?55=#caNr*2y9Zws
z#f1fjr(rgw8UQivyd4Hrmkfg08E^*q06mw?*sQA40|?vZbQK#S;GC)zj(_|1UEEdQ
zj!2cxDsgfR2qwh9Nse@89jvpJ?a=uaf_pqU3}6|r1Zc}t&_Fs<)y0L&b;%hIU^PL8
z@^tJShN6as+myGoj7+kCI~x$H_6-b#O2twEwX<QhEXehMjCt?)`1g97g)@+k&7HE0
zjIPk{APE#RtOp6mnIXul9LgpKa9qrILP(bzeOeNNvck50=&J^N7Bu{M@zsB6NKQ#b
zsqY8VDq}r!Y#m5sHt(0W@OWLbl&F<`8i=8^UTpj>N$P!Gd?x_;&Ca0Ln#Ak4RcY9b
z2=J=?vfQf6;y)&L@%ddC0E!m0@C-<dp@M5DAGOAanBOI$ww7ak0<@6NH%hG5Nh>nJ
z=9K#6)SmoDZX$@Sb9%L_*70rS(4CwQ4GxvGUIlg<6ef1yMUe<fySef3yB<-{(Y^57
z97<$2{f)1rtbBTL!MQ*UoQv}E@}{F1!+_e0Dk3HZm(K4BP3`vd^i*2Uu|avN0KIy0
zR(!oG2vY2NUZ>*K)zu0mQ>FSH8D#H*zQx7{q^4@u?J?5R=a!cKzIOKU5%TfzLEVy2
zd9k3?{u&TX!}g!<1}~=le<wdYlZ?tR8l3EaQ`n;N<^fxK_Ky*uUeZ?qTS4i~xqZ|Y
z_38bi{KtA_+7e$$J6$EZ*X0(~tslCD$vepZ*(?(g`R&^36hML+4U{X4lHfwZ!`~ID
zyd)*Hv(E$yP-Q(mIUSuedtD6;{Kv;fAY2@FTeMwjCg^_k6AFDE9o;@z?WXDvkB9)d
zvf$P3;2M*mgp%pI5&q-9dwZ5T_xJa7B!#`qAd(8piA1J25`O2F#Jo(<G)pQ65Qk#5
zH1(8->q-voUt?*vksXnLG%hADvLUU1Vq{!BGiu8VJU@4;k+G(We}RD!O?StZS5T0v
zRx+#=-`d(5aR;VT>enKfXnhaVpWy33<$%R*Szv28RegMd!;QuB@}Q`C85lBR6BEsJ
zl$4Y#&%FZ8ccF_djlr3(9aIrg>n8lzMw}-$5YP!_vHl5t-7wH`J|WY3chsW3w6!yy
zJEN<h`y368l7r*VwKL%8^17c<kow-UcHEzZ_j(^398}iC@_zf;s2A!PJMdwE%Je<A
z3Z2CqPFKowAGJ~`qmfR_@^7B1#re(J=bVp4S3phc0D!wCOr4#bAk!V2oNQ5D@h`ni
zXlG{^-Vf?d61n5wQd6y}g~-Xfp;+aHIbGkx_VT?(81LKj)t*pnPVeUP^fAIbB_H1B
zio`X`x)FoZL3ahw(0Wj<+ddomn(0DVdHLfsQ=WLCz0%3~IRyj5L2<ZN85Iya0ywkF
z@v_aL>)|{gMSJAr<}#ABs8{IC&d*ny4!>S+25<29w6u>v-UkD6+(ZIyV-%%jT6Hh*
z@bEyXprq6jbi?)a^`G<Iv$fIzhROR*((U%m$X;gl>rSk~wl;<Nxl~4)xUFzZS#g{E
z+<|64rhPc84qYixIjr2{J^IP<km3P_7tV4ZEw87qJ+6Nv+HsmDxD-@Vu)tB={xPyB
zp;^JMVHFDNhE{)mkw>$D_hoQsD4EUVMZ=0u%PD$CjoBz0$O-#A-k1S#d;suaV+fvO
zPUg#YcXz{smgdW)OM@q1WyMj}j=*RAa&q$dsA-!7l(+;ZCMVrD<JFS{+^bJxmZ&qm
z#DE7yx7jJXwl)s97^3Q|W~v=F2VV<EAFt^B8awsg8Jmi3H+s9vU5|v==6?{O6V;b#
z@Q`*0B1@FEWj<HA=i{>s*ABc_t!$yE-7PidQ?SqsK)7>zZ4!19UdWkcuvXD~@{WQ%
z)wboC`vtoWR+GV3L1=_QN=3#1vF>#_XV%w0G&BUoQup@u_Bn$YR%O2c%pej`L<8#j
z-X>m)ph5zG=O@?e(b$B9GGHZyBB|Z>%NimU%sF0XcwcIQT3>i>E;)E{%`Wz)Pzl(6
z^o<(sGHYwxDEATvMKN8Xc5nvGj$=9POl0_QON{%99f$eFC-;xrgn}F>O6u0(H$O_P
z(v?RDcZ0BS29jM=JP3B;z1v+0Gtt`oX$3#sm|smDyWrI++pQ~bIs=;uw1Tw_!KZ7x
z$>aCdgN<TBNA2*0@$SFMd3Obqwn(H%^D3TEV<EccF`Cgjr9l@i!91ndeNM~J$mr|>
zMObL0lK&2}LFik(T}}21bufSF2lL){FOI#%rpB-pe#s->lpF`NHs8B2Tf+gMUfaM|
zoKeE7)373<Lsn5`L8M#hSD-C%y~@n35$vYA$Okw+@Ngv5>PSXE2L}eJ4M#1wm==5U
zSGaPfQV<#1B#eB1zCJg^%F)v?6BeQ7mfSLV5SiFzAaOrHTEA6tC7@9M<M*{xi`G{A
z^x^KZEf*gfr%#vkUQYBkSIr@X!W0_#+QtkKXG%#k&mh?ysTEexn|r~rRwgKFa;7B6
z{PJq&owuGyDQij)c(A`ttA!KNFRws^u$CSg@7f7|<ZZ$N0}q;1R&l(H|KMaD4*k=^
zbAD{)YuBwi(*^KjLSV90!1I6McjmAz42qHjE;6LIQ9BZVyqdPCrTUB^z&|ZQ;N=?V
z(h3{vl$Np_1R1#a%6hG5#g|w8r`@g?HIC{pncMF1z^MibGSg~$RS5Iwvnh1H&}a{t
zHXHkN+aeC9y7X<J{<Q*72gvv={>qVmgr$R10}k^YS0g(<CyX~PUa!3E4kA})iV_h@
z%dAss(8|=zHunMxfwUX%gItqHg`PhTUm-11)n`rZ=i_gDbn0Rojz|V5I<W4O-@<!O
zBUxk@i>22A`({9FN;dZ0n4Oa=pNozD+`y6naO}hOU#6AsYzVowNRcw^`cm%6GHMm7
z0Kg<5D0cXIr)}0Wob5t7VrQ5uk1VknV{5fkQ-OiGSL>-;B@DH9vH3za_9Cj-q5Myr
zcG*UZKDiNahf*T(69&ocz3Zp~qp}qYF-d&x$PSU3b&f%ET%TiEXpL<F0$XZJf<hS6
zW6xBz5%k4b!xZo%PtfUygCZBl14bd?$eZKoq@Rmvh8y*u-6WzK*oRrjbnJ^@a9n8m
zYxeoAd`OOwG3E$KB2sCX+!5inwb6tA!dSw<CXOP~-Wvs3H{<8gZT8s0kFHoNNBnx~
z@u3O8;ajImP&n_wQ*|;aIh*bnfp;~^QJyHG%1xo5nyvV(*s9W1h5bCA<~A}a3$U=$
zDjMG>HC~|-;vJf<=Lni}YMr|ynD&n)YBshggveN86*7^gS}Gnz$KhDvLwr|~Y^aTt
zL$zX~73zi`k9_7E9CG&oxUD5W*uzB6Ia4M@`d5tHZcd+cI48q{Grf%O(hD8y&Xlom
zAF!_dDHHS#a;5Zm&z*61-yY^yw@*R1-CN@$C!iHMJvbGfVB9ND*m!!1g&J}6tM58R
zUWw^zA>j(O?e<Dr-`Qt#eN&PJ%R`409O#%Un`bu{pPhyIIV+RiMuz`TcJ)nLVs3e#
z6fX}X45d#-DEm)~Z((IL)Fc^IEIm0<YC5)c)Px%3AC`^zfpE2siZt7j-&ckeiCT`j
zr8G%YMi}8oU~%~e6jgRLPzIT+NY%XDH--7LX@c5R24EYP`O496ZX?1dJe)A}k~o{*
z8XWR<_VF%g-rboZYvjmTNOK<ORAuh43hv<l9SCLD1R0hPTr1sqdx?6K+}s*!>K7ZH
zRnX7JNl`(GU%P!2P+lm(XCn)HG<v)9X9**5NUQRU=~YbQF={IAvEjo?%b4+I67T_4
zXcg|KtyIYJWBBl2@Je2$tv2zubCr*VTWc3=BEx<tQN?lKr#*FaHN2@snsd76c)EhX
z@kI!zmU-s|?(Ko6LYR!R)I7c8QoGk<ZHQ$xh&+-jc<$?gu`ia{SpM;DgXC-k@3Yq^
zE!W7(z`St1G)h8Y6~wHD*Z!JeRS@p;>1PVzmf3kq<ngz88ym4HvGUePzHu|Ys`@&j
zT7|`9FSQC`D$g(ViONN7Dn9+{Sw8Q`rcQ6ZTc4OOsz%uN678kzYFf~|y2ItjWBd3n
z+&-OA1xA<pa=lwP!(hD{{{DD(&JUO{Jl-;@;BLAUUq7~y^L<gb!yoh<;;J05u&uj{
z$1N_26;VY%R>=o5wD52WwMj4m7Vpjgzyi6@G+N}V-H%+Re=jq@mhhH{XH_GguNPb}
zudeQP^@OO8SzdtE@Zp<?$#|X!LgjH}Q5rMDR#m`L@pSvk!g4t{RUEC4S;Yu->1Y99
zPkEaCz$bpa?lC8ldoveEw37LItJhQG>Pk*}k~!(n&VG<+{95z5N<vqxn2iutb#*+s
zeS-w#VEZc8gDoJ@_BJW*lEieuf_OOE?3@0#9I6e-r|;A4XMyfdMW?6-<NlJa4~c(X
zPVzsfgzXL2kK@0Cn)88;np5X=Tydd<4sJT>$SLgk&x>lAuQzxvc-pTxQlFyCh7ZaB
zVF)-ginV}rf10Va;jgBc=QB71aQz1({kGE?LjAG8fG|A<s2C}LLZskLtA>+%))~aX
z=%@t)(|47{j^t(<DtPCl{zuO!&MuA~>6Hnhs|)MI&c*-yPG0Qoy(|;fmOc%I{go8g
z@WM!nKKB4%32yMgt8VW^wbq=tA85~2nLS`_c~ylOHuQ~|DB$a5FwM@=M8eY3UcfC}
zQdGGeidHkdf`jfq1KYhhL-4@EjX|0p8BD&;Eo@Z{R=Z)a0eyK^Y}qK0)tn~8jR7DY
z-xfX*xGAFoW!37|?x%?_@r`$J&r0+E^1)5P+b#aKne5A+*}pkxTG4Pn9Z~XID|`dv
zA#u&_V6NWmYU3;ZbHah|0#5sis>*yAwz?W+e^n~fR1z*;Tph8PU*dctxdjn2723og
z)Gz>DZlMhji+!Pzph0gu<tJVC=>+ZjIq6Km*mK`lnXd@E;zYvVekV}gX+YLrONYzC
zCq($02)>BF$!jgXm6_u&zA+eg1WSK^;JHpl`Z)oCSq1*&?~$&nL?zKHp-$A)u~=J0
z(b@}VcEr-^35OVYlPaSjdt4j&H{?T3QPO2??tf#a8DT&Cf<whUqMf^5m^4n<V)f|`
z?sIOJyP5Guw+b!=YWE=tZ+idYDqsgbQL)4c=y%F}LK8#|Mg4gQCI-S>AdYt>?t$^)
zu{O;})1#e>BL5Vc3YI-q>&1fc0nwE8jTxz(Fb6i#!7zq~cviF0jDI#NDV}IU25jwx
z3%f<9v|Q8A%cX*AvrX6$+*iqm^#0O7nOR9xxcuZq^dRuA(Y`x4jj`xDK=OY^jE=sk
zG`AUa*Wc?5RD5hvbCpUkJH8x<MIH0@Zrz-gKAMo{^_r+LG@BI3WqE8IE+n0Am^*0+
zk_tbtTWuc|x@F<|ORo$%wEz}7zK6^!EZv6_TW$By%8$zSp`RC)DR3)zKlI%|9oS#I
z&>0YmU7{CQ%zi4D4)JtBJn8#_!4lvIHqo&S_;^ZLPGj94N+tL_OfmlJZ|SuvnL6Gl
zY5xv|9{`We48D#<@9m#$oFrmNCOkELS*BxHp5|FdXU_KXy~U_fN8XRA=d|0CXLQ`P
zoGT6GL6%3;{2`5@Z9CJ{A@xE>vxRibSovu}qa$V18tn$$1bF+j7ZxTis7*Sva07QT
z9uZ#{F@(Pa2f(KbKcV_DDN4<F3m~g>eFbh6`8*}Izd<CZL|{gJfX=AErrtE3q~BZa
zr=`hlfiYc!m;kqOYx%P9EmF`~->7_6eS=B&N{gH8yfp-V+9<17K(BYZRi;8DNPb7E
zL8#NM&auL}lWsC5Ca$+0-V8cq6YTU)FB3(k{&!pYb8_75e~LWTS>kk%^3nM3@qPIB
zj^#_{&9MFL(?ca%2_MVw&xfTi2wA_At1($+QhR9Zqc8|9R^?U@JRNw5@HJ<dcOWMH
zn9&Ph=#2WyRzF3YdA;fRo6k?odKy18U!nF4^_Nv6$mDK*97I@irLHpXCYz}K$m|Sw
zC|es3l!6leFF&~L(JDdC2>A9T0oPs>tgKMfjXLV9VkO#L?oxJmyHGNQV)!Gy@_bk;
zyO-LJQD#%4gcJs<t6Khp1H<2=XIjI23z>HZwv)Loy&ah9t~shjob%+~@w3vE(|^}}
zI6ZaX+zoKvvIY_ssw%f7vJsOlFn3eFn?4#<@l6=f>3z+lT7LiJ2ZQMKM0}KuRDS0M
z(p1PsS!eF3@sVJq?eAh9wo)vLJ14{*$g=<b_44`8hcn#L)=%In3d8*g@6zO&fS4{o
zQ?Fo%JhClZc4LgxmA#V@M?35)5f%z7OJ^+E0zB1iU+$$!vMy!f7smuYPoxx`j)_(5
zLlsN_wM#@fpYp~Dx1~PAptq~-NBZ#hNA+P{6wj4G9eSY_vcm<IyQvn<I{NSOGVL4-
z<y@jgWdE}Vkh>E54}Q=;{a*200}Hh^8_DoHY@=s$mVz2$Y3#povsHU&9+>?CCeT|2
zS??z~iIqvxGKqfvXz%{|i~ipjvpsM)FkJB$fmbJH*FAbp;YWUn(e%YbaMQ^(a|g4r
zJux^)ABGCeJAs)gqPFttP$>&e<8qn2k#F8{^3nnt9W?WS_ya6Ezota9*s{k}o|W1Q
z;=38WG8BZDg;%p>rM}8Eh1?UD-dnWoQg-3KD%6?hIUSgvvA|nQaFj|GV88S}V}7M|
ze5R*c!&)JKT!@$@^Htd1h&&|ZMNdgOAzf-XEOZuGf-%fA9iI>A^8=UUq?F=bw(F7<
zl8_J%uXA5+#u{~0(UF7G8bERUw_&|*@_4RdT0ldWv(h7k+D;iXwoH6tzVD&=lWuLJ
zo!wfqF(AHXS~*Q0z%Mvn&b&}zHS#>E$fPzZQLDP2Vf4COw2LRK_Y-k$Qp!|w+CLcj
zWvIJ5K8$f(kHe?|W0K-9k~U1{^JIZr#`|*)bvIyYgCmzTe#+iGONln#`o@87*F;mG
ze%~e*#Ar|o2_46fh)L+zQcGnpn~2BLMb|ws=gDEB>*L`gaW@k`pDEBSBpez|rMbO`
zWgot@`<RHr7(}fdKgXA+EUuqzCe#$X+R(40m%rH||NE`aA=V^X>L<5iBOoz&$(>CN
z5L>5~$9e>ngM(7M-u_Dq@|D)BBr$`-NZIj2fwCg(KEkN#AA4`+hPbh(dNZX`pSs;;
zH+3t@_nO<>3)=rNf55Q<TV>S$1&hU!610&xomqr$pC4kGPkd30Q~x~x7E9gQ@c0hv
z9G;FJQiycXB6dQ0w{Xj_HXnF1MrycQ<wc7EQz#XZ>ujB)&Z&>KXqqJvRuA`0UssN7
zRT|m7d@2?Au-8Nc<Q$@)Jph|w*r|7aa@?YkUX|!eTHZSM9&T#tzx|%7&>uct(cQgw
zH(vTSD%9ZQs~#YA_jC^pa~K@*4<`ijYqDCs+obH0ASy)scrY9;ED!}UPQAjmfA@EN
z)da?Ln2x77WfD=C3Cqb!t@wkY!zteK;gcQ@F=JUu2_+6kc^7E5USiT(;5ZgRJ)tS5
zclIV(aM#=YlAl%P*grjVL;w@uzmbE&mrIEXKXMHXOBSh2*onOg04r0eyre+ul7b#d
z<z=Sfey@;5VAB@%?R0?^LNQ+ZlW@>7Za83YHyovQW}r#ZbH|C8%y9w+P2Mt2x7^p@
zTNX<Vbq^N^H;M-BwnK>U=agP6^cXKz17vzD31PYlV_F5l+sq>YOo23C(v;!ih&I3+
zvic5AwXq_39LI6<)?Yq2x|58t_!r~GNmEvlx3IZ+$@5)3?`bQOG5JYHv-)SX##*~Q
zGoD>tG0AFvpp7dL#cD#oxUPYo^Z^2Av*7vpc1JU#?E)nXrTm(VZnfxWjs|&mI%5^v
z^Ci|2Z003Np*6kFkOi1fvLmKf_1FxvE^%=+`LHr()QKo%`2-y!+je7)=Obpk@tMOX
z;w$iDj5Kv}qh$WYfnYs&#(4&!UmzPk7-K<{4|!Xvj!B|d9uG_3@%2Xlm`JU`@xpd*
zgxP2AVVsEygBICCwuL${2;<REOv_EStQ_+=i?cP%m-hZphpeu@4UKrwRgms!@^ivm
ziZ^k1qzw$-8BD=w>WVmxf3ZIY0F*3hF#1L{1_15qc?JYwTPB=RK{o)rchJ#G(a3_!
zDy`m>0-0p?YQlg%@s}iyyDzgR@GIpGg@>obTQpABo5OHR`A}7!ZcW(WsV=ii-*@l3
zdJlkm66i_5^RN`#H?e@5s@~b{%Z@(x^=ezHRMo|;oS+M`(5Sw|G#fFM$+DywzIGPk
zR+EvJ*WZe4PIafoI9;6117QPna|2;R^$%XbhJ5^LCM9sAAL?<}Uqa7`CbM4MuZdcf
zVJOm4d=3eR^yrmmqc*QLRCK_JWJ{ap+l|#{3!Z1AE=OMHqbRkf_UjwpYXp3U%;H|@
zy0|NLDd$cVS@BCOz7l^AaJ%>5U{knheTLxDpJ{xP)AoZR9Vx4)fBXR7p{X(<<<v@b
zwtTIo>anc9vOyJ#{XyoQDoH*`XC}LlDGDr{-=TPFj@AE0&Pj&{gg9?o)w96KO$OF#
zzY8qm?%3conRsZ<tI)fI+pSEx6d9>BkjAWbvMx#gTb|Cp__SrVd5U#05zHejf=O7?
zr|DTem(UYvlZd2E2Z{sIq?!yCRpC?_IoD_Ql(IY=J_?gW?RP_jAG*K4fn;L6ETsEy
z4KU3iKq#iC9jbdDy)*bXv<>;#y9h%K#D@TEE=MeFxDc~cdhc9g@e@ujlRt7+5etg1
zA3V%-H14NuYMoJ0wQs64O2Qzw3!$iX#S}Ue{0OH8mLC^Df$zG&Nqo)>9vBgHi8HOj
zT#1VH-HNeXp8nrm>?f`T5axkfETQ|_M~-z7XZI(1unC5Rp?%sp^hS<G&aSgFAuV0|
zq7;Kp>G<i10D$c9z|BlAuhO@ALrImjyiR$*9+hv2J~LLX4`a06JWl`io6E9oJZy=M
zjHMP6KZZ&~fHU32m$~+w7sJ>6Lm<>VnT*p8MLpY$vYDhEOIh}3@Gp)5(^rRGL32Xq
zzn8rgUX^pXV5gA@wJ95E6+{h}<<_0I4-nP+vvIb`NX9_w_&``ohAIxBMDssi`0rTO
zwwBKuXOV`~bnSD$NaSwnNOO6v$ya-=>W!og#yqNXj(^mHFMGF%9g2EtvNhBI=^ux0
ztu@RWa9L_jE4tFMd|h3NQ~3Kh9aoHl@U#R2yTd8-biYEa?Y)8<f7B7{u@0S9g0kdf
z(&-9iUqwK-7rwnR^V>V;ob(PPf8u$E$@Ho?tJ)v=+tpSp7LS_F-;~Wpw5u!)(e7T3
ze%IFMYDCXA1ybA?T=1HLT*`Qtb|K7|O4P>DU*rBo^5gFwbg}(G9ahbNx=<&e-lT)S
zI1v7QoqTtk8ehL-Q0{0mkqL`LpnI(ji8o%yJyb!f&^!U83*?u%zO_h7p6;9>lnQuv
zHR@@BDFw>fj31;73GN!GUd{=}U3LPu=U}yqRL*xkXMunU;nK#ElAiwWQT`bb1j~_n
zSg^HM_T;}h&>Er+#oe2t{+tuJkbE#5xP6z#L!Mc*Wxlnd-Q=jkoDmhq2||#VT97jn
zZvbPJmZ9xvQP(_j)kB@dxl-Yo41Y@PzMGL8kD=1QS={_%s#p`{;Gp|gYR(SU0@jM(
zbf1vM<|c^GE{{HZy2<e-qU9hZEbG1Ku-q6u9Gs?sDNDa;)?{9h<My>fY(2xdp~T^?
zxn4A17RyuH+iU+tuTwT94UEp1Xm1aHBa9G@W@%>{r0E>c{;pU+mKPuT%*PsF_jnb3
zy8jcCIcNn}c67(UYrzu}b1?zAK~h<-eBIiEspSg5lc$h)$;xtMr#sm#oG?xdAGDwP
zr;UJxpZoj6kE}e88ZHjk|D4>-VvZiRjIDt$-Z&VTJ@W4xPBYAQ2Q%MmRw-!}zL(Y5
z@y&BACh{P!%%vu`+Yya!CpJIckD9+!LP?1F6QScm{LyrGK7b;l{JF-2n2F$wW%ika
z<63wD)kJ3lnnxQ+q*`!#*^9uOPX?<*varZE1)7OXiNo7hxk?GC#1-Y7eYntEdt<qX
ziIgMq+u==j5eRVRt6X_2(cC!SSv5BDvXR}JfGam=HFx6lW+;s7G+>F_@ZDuz3EsNo
z=o+LB%6xszXhA!7u;iGsiE`z@#@gK|UlbiMXYaIU>d-VM&6&ublBr>~dX{my_JKe?
zdVkbAz%yHgM#G2Yd*Y)`lv+i<XxUm2$!d={p!hW4F<rVqah!<on&RRIa{T>WU&%|Q
z`H=mTzuizQAL<Ox6up`PVkeQQuOG5N@41t_@qZzbZM-PxoqWF~dw;tt?Q`dp2N)Ee
zt>d0KoqxKP72KU`z&?bV&#Eu6?v$1pHa#w<z_pWobE*<FQ2w&evY^?Yj-w}hl;m}E
zK?%0zjkv(gk{G(NNs^8Fk;<trbzMs6Qa1s?bSR6ReA<+y(NAe+1_S+N3*5}5(S+aY
zecqG`s>+~}4m=Jfr)#}5@zPYXDLn<5K4G!3%JFw`2?=MQE(k@*D5$CRfzm3tTcG0P
z?2OG80x&eyCPTRB#C-3!N7BLFo|$v@=tMj}HwI$onjEP!GBQ4<^Tp%oxn)aS$o${O
zRXmlkc+74XPuOp)>jxUm_uW;Wn<~9sg(a3Tr7Cs|=5HD#yo(TIO4hBlm^{(b40re5
z5y^5M2SDTBa-70A>FeVFBm8ChXKkH7nF%jX#@A%=8frcZpma>sjd&~`95!*b(%W|u
zBU`OY(Q9i1+b~~1MnsH&i#|_x!ol#tD8FrW#WOk-iD(j8Ev?rpUJx|E_Yyey2@k#2
z7XabZn?}I}sUyNq_uZwMHJ_cGO@J2#^h~|=+^5B@0qRT&4vsirv;hxmfLnM5fq?6K
z$$*^-6m%U={)&=#orprQb0ps9<CZhb{(CRL)bx8s$AVbguSY!k6$$aIgWA`yyO{h!
zV^;iS;WM3@CmcUt1H!eVh#XhrH$LqoRIvLx5=<=^R5c)4eJO7uomK1)7?GV=#Mf8w
zx#lJnTgJBt8A&(X7EK6=HfF1Cs?Un)Z-On8H&(($m$RLmF1tGO*$hk)Oda1`J)@s&
zh}Ceb)*8+2eO8<+8U2!kWCZ9DLc_w~41ik)Tu>bJ=Z}h)xA*Ynz|c_l<YX-91V_j)
zH~hD6-$bBeTW>?i%F0T$&~e&F$e>aAlR?27umbP*^`C&hgt)Hx?ejKJng+k|14tc9
zVI%-z9D^=^$eNs9@*oj~g5L2?O^XSmr_HWi^j#~{%j)->*Ul%#8^dk8bIe~|{Nod!
z*KP8Rqz@aej8LdC%}K6}b7X~Hb`-B`4Qgxd5SrMvk1Wd$<6$g)82#%Kx9`;2@tM5i
zaM`XtedM09u8^;ysG$bC;rw9mTU4i$`MQ5waZYTDS_L&Fb97me*)`;Z4Bgb^?=o4x
zwJ&o4T#a+0R>NR8M=8EwjXP>;C7>WJE-pqGzIgLL9ybAOYB`PtGvJqtOH9PZ!!y&t
z!^I8i=;-JbajtX3AmSOr&xe7QKmjXBMotd>=;#RdivItoBie6fX~j6WfqvtfQ!<2j
zJYG(B!Tx?s(+XVrDNajWbA7awXHY}rcPW|?k@hD%<AHBns1j}6Zg==v+as58=DQ11
z@RFp`joAfkR65J?6*=7!D^E;;-RqFD$e46$rR3X(w_%*GD_PV%bfuYTHXyPKH(rx2
zF!N2#p8?JuG4L7I!BMB~(%YsIZ3=+(EuzE=5%!I_8ED~AoON3n^*~kuKEGNU;In&A
zhXYJOK(V0S6s=X(H#|IS+?JTA9)G9eoR*dKrp8FeqqJD$0thFdxI48w0Wl6d{Z_uj
zSu9=mwF_hc$Du@E+z+vok{w*T!$^QUAPtT4&aLB(rGPCuG;H^Sr!NN8vs%Nhoe#BI
z#M^9VvyN|)DG4zg&);A8W^$MbkuZ62I=}VTBYBmOaC#m+H0$)o!_g~acxZbaP21gW
z)D-5+(qdDa3^(E}(#wsb&O?8jCP5b5NIe;cafHil5<~Y}H6<CgGBrrN<*PzHk6p@T
z@2jN}TSp*f(84ih1b1hf0ry&81q1>)g+OXPiHmVWq?N)&9m-R2bdkEsQ#(|@DASF>
z<V<kbf?M%!4>}gohxap!V_pw(t=I{e8VNwoC8vj1GbL%kpoEMzcN6i>oxx2za$~GT
zb$$m6e!>yY;CV+vuAQ-wW5(d{YKJ!0*$N|}{qeVVlGMyp*B5W|WhLRX>aueom{d1t
zqPfh}bvyyObI7H?XFp2p23nD}X8fU15WG96S@eB+P+y|r;lT%*3pRFHWuPhn2E%^}
zj5~Kv&)jiyz%t~t$Q%6itI#2{I4btL;XH-g?*9K=X^kRyWH|&X(OZA63Y#kbL>JIr
zmNbuyE~r-wuTKV!vTW8N-+K-+Cm!p#)~V(-SJa%>y@cU|tlV?C_nPik&!qj`=A^#9
zS(`b8(`G+QF!#7Pet(z6^^pi`pa%;Fmj1z->CT0+>MZktf{4$m>M4G@%Zb-{WI}SW
zt06eg5Zwvac4A6*T)$X5i<|Um#Z8O9;VpTCAFVJ0#i~w1@5olONBahnfrX#*f&gTu
z>9f4mWwr_FsfYlKu9rX)Wi?@y|KoMb&C7$84DI_M#p0=I<{J+BBny|cTeVz~&E4J5
zf`V<%hVaNpN^b5%peTUaBVne?b)gp}@bS&B3AK4#bWKkua9T~XSWHmBL=p2#0Pz>l
zi%gZX0+EUD!@fRvr;V(%Pm#4j?lU_(TUGA}J139dhb2DZ4^d9Ai$tDU_LMnvN;vNw
z?4sPCj63*T7v^B7wfIeg*EKZ*{+&7LSc-jY4n8;Si!wDyU}N#b$ggy|5RIb9*K9hQ
zSEh}>Kkj5jjXVfhHu$^1dFoYfT~aqx9N$f#Nu*abeeE3WBJ}ZKDR9=s=WBhti(C=L
z1)sH;gajfGZn2=JVgkc05!Wg(C882?MP&LuCJTAr!r*jM0gHDWFo6QAY1f}3W!Tx~
zy0b`O`?Y6*fq_ussq_By>2@a0r0Lh-U@&vQa!wBRDlBq|6F^FH0N%iVn-jP~dmlB`
zK+4e~+mdNCmrk}Sa4^QQT|U4zVl7YpXycfan-!8yi9^r0xNOS_bflL1blse_5QxE_
z>kl5iPCd+(oGy6%CM~ZjT}b6tGo6EZ7RS6RE$75ITP3NN8_k{p8FW-8|LBwV6E`@M
zs1uD&w9jaNhF{{fSe1<JtIHXX(N~flgj8@u8)9dDG8m;*&QC%;xB(V#0;Ed;?^_O0
zQPEQEhN#W}B=~rE&&S8RV=8!0J)a`mlfRwTvz46(UQ$w0&kzye^5H$}Ehd8i!t)F~
z;&h=8bnns0kW|&u$m*I-=x}L|k~Zm<71S%y03uKh>M8uE7j!{7=G*IijjKz$ljN9B
zE+inwO`j<ktgO-eh>5h{g0RmAA77J8oGHNm{YX^Eyq0hI!HU?|PVnn=*BBDGr7`HE
zpfac{)`2h5mqAf^LFp>U`K2ZEbthiM$a>~VJ?HP8-8wQd84k?MpIi~GykUhtWVINV
zJtOU4Q~t48?R#aRc3+d(mb{goV>S6SIMLJVfwGd2Xy>|8Nt3@gh6iphzg!>q_+WvR
zhsV6W&v?&Qvj3<wO|l@Pt~FTHpr7!MDpee~b#||1kOk5R3_NH0XO7`b{9BAbv#R3&
znBCEtNaRNmWOVuPK6u-2RcKxT&gKOB*_<a$@}?Dr{mD)fB8rNSjn2(kXy~<Pv$BHD
zpkqy9_2w+WBsdjLrFswqgR7A_0Dqc`VXnV2v@PUdCe*t{PP>JI>~&skoVCxj2cxi;
z?l|jwK{_Gyg#X76^M1jT#n#Q$79Y!Bt$>=5KDsSf`Nr&l44s5uo%!NphY3x?`EisO
zEJ_3E*2Riij!g*v#n<o9s7X(|kimkfjBl(pV<=urq$EB!R?zYCDR^U@KtO1<29cpS
z>O)Dq`LouCMFMw6(j3IEe`m7Gst{xfroP*A1;gJdYut?bpdZR}9VxHbEO!>oPPQ(s
zpZO>V26*4>te!UV^L}Qc&KwYC`0FOoYa$t5rg*`^Hx>`|9gz90bt$3uW&ZH|2y!Rd
zu?f~~{%2p!izk#Fu6NgQ?$1wOR4T4bjYNKr%?Wvp8Kz$eBAO86Ki4EXwH|B}j=YuI
zsNoHipZ}U$)<spQ(YinR+oSHij?lCFTN1x;ZFzC&;iI-@3Cij(K<I=ryxXKxgixyh
z3+9CJ)?VUl!{IY#;q!O!II5DMIUHQLM@-h(d%cCHf;-p?$Q?hqW_2w)Cw8TVejBZ1
zze*?*{Cx@8>gGT_CLJVnMeQF^6YrX1$hh9KtFGM&NR>v3uLWw~Qicl^Tv}?j(2!j}
z(3jwzWvINsl#-k=I<sAKRDPut>E}>?yrJtkRlXUEzfTzf;Y_4`cZ>S7(gQCSQW=x|
zP70FOgtFAa@`JT}dUrOI;Vwi)JXz<7)qFrs@ugN_stP*)J^()ApDdO~!F@%wk)?rt
z=Fu{*EY?U_Rl<oF%Ga#&q}&oq6RE%Kb&=0be=gVOAPgC>RNl;5WIUQ6=gkiipfS`*
zXll)1YFUEV|7L*ZYoS#O7sWTncE3*U_gaALqm@=#tK)NHjpN$JpV}_(+nJ=^UQk(!
z>IXtFTY%JB|EH496YkIppC3tBASM0u&rLPq_`+>#UmWHm;pEET)N>iA0=l^NB(W?G
z*DC4yr^r9=N5j4w9d96IMAUO2y6gf~#7H2iZ4c>_v}4gv$=UN+uH{qvJ?9^uO8yY+
z3R_lgxL+zS9eDHhJ^7@m{`Y~iQT>+BDhq7wu4bt9_;_veURAh(on98m|K!$t!LEr}
zlY8!e16ltmnC&j*Q^)tt?^nK=gD)?KHrrk`MTwDrhP1c8gR^tB9eR?&l`Wa7x!54M
z7hF7ne6DlhU1R$vnm*s$hrlM?Ps^&6zkhyuG=T>5k(7P5Iq*3)TV;Vce!}ezM`Be`
z3VQ&F9|YXz=|dAg0)!Y=hwqO9#pv<W<e~JQ;)jj*HCfdsZ3%VUsg9cN=f|)7hBV<l
z1UH=HG7F}`wHaa|mN&N-?l1zUgKqTdZ@*sKpQ5X9aV-kV-70b7LK`v_Q^}qDyN0(1
z9Yr!PhLl)LV=^Z)7^){oXavx*w@fjaVUfwGd1D;4S=q0A9?c2pv<Z(qEuZb2$ICdH
zTDTz)IEZR|Ul<o#jKZz9zrYgEA=)i)sd144-4EpU8h2N=FCa4bjx9Q-m|gSj4^B8R
z(I1IzH>IEb(}j<%={KzH7?18OP^cgq%DO`fr3rExGnYI?W#Ehq1MPatotaTJ<??Zd
z?Ks2##N+)H(>W@1ZnjCkkIih@ti_Zke+7}6FDwUS*0<SK9~E3ZtwxWkrP%C`4Mu4f
zpcXvs9J$py7Sw8VSGAcX2|E(sHIP)y7Di>rwEV3<e~mBQZ|mc9Fir9lr8iq>O=o%M
zrJA1B9TT-Q@3@a`?{qlnuf}v~Y_?TnG>m2H+a4o;(jbh{oQ=fn?Nc$(jA#4wC162*
zT062XZzitBeGV2e`dIX;Pz2pt7@6y=AsMyl&Fe5(!=lp_Pjyl%;f5r_X6LQpUMtyp
z_Fs0_h?K$z;^{QBbkIVP+HffK?k~-neqC@I?40nZ!(H4eFmGdb?6E)%0cg9weSLku
zoL*rRP6Ei~WOV;ZO3#V*E#|AOaDYOQi?)+`V#V@m{Y!ut5lI07MN&25t}Jer$46MN
zx_ftU18ve_Y=(pX|ElaOqpEt|a1WrgbV?&2Al;49(%p@8OP7Fj!;cmO>6DU|PU-IM
zlJ359{C~LXe!Q%uYoq&|J$vSzH|KpGH7B<Ut0T0kUuOr+J&k9VX(%iNtCbq|P|&1m
z_ko?iU48OHDP`cSex7*z1O2`j=-D8XOViuhP-yWYI^=h+bemvZ_CC?+mmYxG6{Jd^
z@pVs;T&WL(TTu9Xr>XsY(&<j~HGmP=+FVnWCzjr-rRxk!oBS;wZ5tMnj56}Y`7Mwm
zA+J4!q{m7UNS<<gHTuz~SvjSqo4q9g!8Ppo$LK?u?b()3kmW}cHqs2HOLY@H`ag`@
zC&N^YS4bTTBLNqKupj~xi?|#}wobVih2*0~o9<<aftCYfkQgj<d-~qA%U{LM_cK}{
z<9P{0c&=sq9mTx-0AJ$sLP9+s|4z7Y?fIiGe&v@nQe_1*<H8*oW^B^efz3H2UVv<B
z?yqgnrDwB0vwo_m(HEqwIG77!0_}1aj$CGDv<u$bm3S!n7Gs)v4z&<n&=0Pon|eN-
z-|2YZoMfRJ=rTfB{ZmH8HnN=}*z%>_4wAjmXl#;W@t=wPC5hH4F|%OuKyNNRBZJ9(
zu_)x?_l-6OVNy>%+iv@hoxw^D<@l=IxpM3)w9g@N;%xefh3LsKFm8^wn|0y0kNSjc
zh`p!|gB72n7(o-Y(lMX2CHnjI=Q_6)BPEi<m9|!f3Y1WpcqZ~tSbF4a@^BKF$=+|-
z6k)8>p<$Q?Q8e2WF}HKZ*&i7y#kz51LOHW3=?Pwni7OU;=$2O58=v!dey^^9_hN48
z*VdEnOas<-wU^mU=MX@|C|gNx6x#4ydc*w41v|_4?HvP?mIv!mq{M-y#&TuE&yIEF
zK$3USUkiphOQ~}j(1I|cT-gthKA*|3v@IbC+zkyQS-DcWCApeG{3Ml+<YC@xSyE@<
zCCk{9NHZ*?g+B{3%XpHI3BRjTZolKCKC(eZCQCNl<xwaTr4ZXV6mogl$T#n9Z^2w9
zIwqB%h}kf~jRS$u_tO(C<v+~v1=M;XhkZ=iKR|%snyM++Va|*wUhZGhXXy-oWghL;
zVTX4hL8f?pIN~&;sHGR+7BWu8qx&OJnq)NHH&7J8EnU>q1D8gQ=m+oleGU9&3FT+Q
zZ_4l!32b7SG9e90L>EPz>wHvEqDZ)Lzt6@Sf3thSf0d{k^Q|o_&CMROO;GcBguDm*
z96L6SkJ4)8UxqLpX-OsWZC4Lgf({fB$1HTXreEnkRHCkYqZ#`5EsF@Z5QviwcG1Br
z)Rz`-CX;8?6E_9DNq+@JUGUX<sh5RcT1Ow2#AMZ~2ku2kI6{ZdDEv&vW-lzFaeXy9
zla)n-8-_(s=~nmO{<6ct;*$LSo&3@v%w$yU(}}Bo=c|N=I5RNGq-H{}5NE6EXqPSS
zcv30Uq96a|dXuW<C5Aq~CE+5O&k~h%`jMY>K&uu}-RpN@5nJsy9M5)ocF^c>;x52I
zu!ycrDa9c6h1Q4qGd}hgI2HVu56Sw`EOo5yImyd`L>$W~5DYgyq#DlRTV^4e2fpQR
z>^K2EUKErU|8?;R!U=gl{Dy^OE9mY}3IxsGOu_sWdZva=R_Mrf<8ma4?ysz1?Kxu4
zlu0;zI>ouN4NIUs5Nvz-{r5taiiQr4+pnNh@ul6nV|2~1-iE5omO>MJBKM0u#GSHQ
zha)Q#A_R6YO7GtmWRx*9{SV%k0^Z+Q9lw$Bxzz<^2$6Ycy$nTD=y<YKQZ{&Ux88p5
zeet{;OPj{`DQdFvcyg(`kOLH&OtK|4N|A+oU3gvx90A$-eQl3s+)*y7BT1C`^E)iy
z?sC^F|6oUOmBejjEk4_N>Kxz$hZorub}wu^lzEPWRpLcvo?d?qC%<@~C4Nt`?1+YI
znz%c+^72i=1!nTOyEdZkDc<~RLUO@Vrn0AanvKxJ-kegAMR|`<CVdie4%<!_9{Q38
zOKM8A?l<d-0&Ekn<-4nI?)%)2v3+k)9kJi4oL$(hDh}RwbHGQPzW0)JI>BN2Gj>z-
zMH80|PXCdALtlbvol<42M-e?<nDlEV+F-zF*N=7~x2K^GUG45-#F3J>6Fn=m(>QAg
z8)NDUenw>^4QS#fqa^g%7{Wd+WLMuyN1gmoT=j2|KPKC?&z3SS-aEgD>FpeO7WCt{
z)OvNbA?P)zq_R}SuR-#=rnl+YOXb1ov8yWw_O8R+Lc{U)Op9MB_WGgxZfD1O?oG+V
zqOo_Y1A3Cp4di@AwkOo>j{N$A5Z`r0NR24}<_@mO(A(CU-IU_poh``<*A-oFVgVRy
zyyG1{;zU(l&0rUUhpFAWl+aHCP3HvMDx~Y`pYg8r9;C}obE%g*n<I4>W&1jQCNMB)
z-qJMQ^Yk5hlPuY=IQ7v^PEW2M#JFwr3%fW?AYC|PKAa<*{9QoG^cIA9xBW~}xw7T7
zSMSY40vTOeK)SPi?TaLV{dXC||CH>a`)$BICFLRB%$mgu>B7mx>Ms)7i<j-Rp3333
zIjx-w{+*-ts^~XpPLkptxa%W%Ypc^zR1z|oqZ4z@WyfPhkCn<Z+&yiI=w*WZ9JJhZ
ztp2wsB)u-T|2@A*UpkO*L0|E$6yJgKLou2;nQOjuf9pWd=)s?5GIRB3<Xz8L?D_1y
z3J*|xwKpmB0aMgXeaUufj;<6B60V)s27%cU;$&;|j2U>-%=|w_Rf6p_{=UhnGe?I7
zs}$DC6c$ehDJ(7QK{p_68=i<*;~pnD{62WPdi5r#Cx5V7f4@#sPdg%TLF;7S0!2rO
zNPzweGNh0rv6egTrF3CvM?#`H<)<Omz*64n(nA;LnziL#!e{-~5GP4&ZRau~eEaoR
z_aoZGCL=Iqg|sDIWCseh?go&0j|~{$TwiM67e}o4BKCf@f4kAF5KQsOhi7ID12;RT
z<khi%8N{#9B<$7njwvqX*1lf-wX2xHbJ>lPPJ%I<Dywyjm=U16!;2yd?QSIn0#GCA
zQy40XDEA7p`bh7^PcMx{nBO&x7oP*a5W%?qywjoS^}=m=kFV#&zdp*mqj*v%MzQ03
zS|K^=rh;*?gj0QNkrnIIzfd$P<F2jj&&qs3{U(>!hQAs+W-BS~;{86?<rc~BSy~1r
zwZyws%(HN5)_S7L9A&WNp|ZPmn1-`DLSV0>6Pt3toLtVPxp&$LVKGbj64P3%B~B5n
zc(8tXly~&))0#^)noV0KxXS029okxH*Hr5G5+jjT>q#Iq7IB~$id^Z*#ccLbiMKyf
zI<sd_$#v|PZC=c+1l1#+3ofi4Nz=kgz=7f<so<FxE;Z4))ZC`vpI#!@b6j6z>Vr2|
zjl(1j;ZBle(s;$|?xM^-q^&-_#MtJj9bV@Tj`SC2=eYA1-06!=JnD(z(T@2m`A0{p
zrVSULkllse7V-^8&{><&sUgZVgx=;nvJ8!&tm!aQ3@F^$pq=GYZ@ueNJyD*)X>7z4
z`BauK5x5&lRsD-iWJaH)9xVhT3eV}3hGB4_qpvR=jPNzJY9L0#Y|{fvn_o<F)D|C3
zHswCqIno7DYeaUz_PKF?XFj8g$-~QG(tby({U|JYx$I4qdW=iubd9eGC2p&mW^hgs
zwHzc-ltsI$Tn!`J-8R;_%wHa^*_^C%%onVd5qBA>|1kNJ|9;WUUFG<E_2$9>=<iyz
zHu46H)E|N27?j*;PhJ=hmgBUK#F8Sa?E!<m>z1Z`F4oL0X?JI7eXkH;X`=33&Iv87
z&sprrn|<Cf11~{jlZKs<NXw11)7mfM#>HLawTg;fgv`!<zWHm8o}6}16e1Jn)6z6q
z!ENU%N>LRLe9He$tE*w{ubp@JaB9Sna4E#fTuadcYPrxSk|WpnaH8<4&*ajj^n!jQ
z+P8R`5T0bN24U}&V4jT!j+CG6)Y68EQKDw<zAS(G-n|7YsOMd4j8*MY?YOr2>NWKv
zXZkHaro^2m!E9d~m{+V<X`{qeXW=dLD#;@s=iePm&#r7GX2?lmd+qaupUJS=C^Oq=
zXQh15o|;RD32F2CAro-6Iz$$_^P?&CzaY7R7^%{k;>?1x?iQQz77b>fXHRtJ_TNsK
zZf3P^Wkh~g%^pt#M57wIEvw&$u<lQDzn2r*<$W@`-`_}i>?UAXxuUSs9Tr=QS9U(w
zLS#pwI9eI*3@%3pYWbV=K_2f%(H4Gx*5ey;3qyl0s!!nqB@6U?Y?ortX*oi(iRqBc
zjA`#ee{^8kgq>L{<gn&fslTeQS3G*?@M}~{<a{;lwy$0HH0l42kuNi@h(cHJb;d|f
z7Ksh<>y?q)x!aEC#>E?nD4wQ!*rSKEfH1PlkO(iYUBZ*NWVKKq9m><4+CLHqkE-T)
zwKTIn>SuN<M`ZFwD<kIJ!bGXHAIhJYPWD#_zb`FxF3uxTVs_^I7151q2@9auaXi%L
z5+E)$va;}d7_U<Ao$Bs~_2HY%DyezdsIAk{K1m?J$jHFw4J&D%TXT04wRd0<V<{v!
zw$y`s*Vy=no?gOT8@^V;K;q*|ZhJpv5pl%0-=mD?m@K|8mcOyaVil`vUw0d5f<KJ&
zy@Mi%2<9?kl2jCj^N)CkUU!ND@?_!mV?vP8Uj}alhUq%u403dum?2a>%VNfVhi2wA
zz5{H|uAmbth>H)70f+S-0V?4^*t|C8k=f?@`kX45g0Ti2uSl;}=3s@34)g+()iuK?
zaT9pMy_T7@Ul-#3aNeuO>x=sv)m<UW88^l^<e>zeiC*ZZH<pB+b93t^!eo&Shk<o<
zkHw?z`$}N^N}<0(%2uQ3T6P6TUnY;_Igvz<W4$H{z2_CrlorudJ$UXv27!l_wH0R7
zlWIxK6fv0eio;PfVQ-K3`%7#d(9b<ex*|Xj<xp`x%QFG2NTa23#i9dg<bjg~1x!Tr
z=E%1m-RqK#p77p-211wt64!0LPd+EPxu~6s{C!ke(%!KFk&+6r|9uZhNSD;S%``gM
zGo0Dq;OZF~Czc6*B^D(W$a^2NnyKRkfq3%q&7KYOT)0&Ca+^pRPbQ;m;)$AUPSXhr
z3zNaXz+fN;v2bzq0D3efZSDC@AzWNsL{!wk)Ko&$SFcz>%>aNWO52<RzLbuE0Tft&
z2&j*}igw%?Cb6)z<kV!+Z=xO8FG7Ev7XD{IW~Ib-g*doSJuo#w5~e152PN*uiiDpL
zb`y)uSA1f<pQfJ&Lq$&sHd;{8+0w@1bl^ACwgeg4h?r#b4;)tx_DAQCJ83+PX2qC+
z`JnyV)c<K9ytUGNBDL`oa^V5`TjN67pIzt%4?$Jq$OLs`y_ZDSSp_8lMI?<KR5>mi
zowhLzkz|x64)ljKq&RqeKk($zmPUwxh!Qs?G05jbeq`sv8xZpcX~!YjJ39qM$aH=Q
zKBKAQR|OOCXLwjbOzcH*NeL_9#2Wm@i2^#4EuAv~`XM<311hMDu&}XpG<lq}IIfF{
zNy;p<Jps}u41D~MgPC$}&r(oX%K`Y3>zPA?gW3jkB7dw)XiGY#Qc&G*U4jFCQ6DW2
z`drGtreZF^u&-y_;zLcuZG0pasmt8pL(NmuQi?)IjTxO=LgQvXA6+THUQXK#$ia+y
zCRO8V6d;A?ooUXxaZ~Q(uhSBzuD>HkX+B&q=?Fv$M^g}TD+JB$j%S-6AI=7tPfkz$
zGc(D!Y-as@?yo4`$=n&*h>MFufh4DY>V$y)^)|4Mzg-VSWMw0}mhv*c+#&h<`vc@d
zD>is`c6LoItuTB&J-yWFIE?YnX)Qvikd*sNclix+u?dTV6GKaDScrT2GmfJMyOAkH
zps3eW!`x{5;0ySN#+9v)bK}qCGX2Hxt}iZBHFYmH|5NPl>FJoAB>;6OtmNDK`+(jJ
za5_MKU+DDow6LrUT12iNoSMP~{nVjRQMQh#psN{_Z(f3ybbt*zreS9Q#si>4!-6m<
zb$GAO<5DxC?3#&<XeT%Lh($PhLb<&<|4d@wCQjA6b7Bi0M!tY}pN)~*!CCuX^|(x+
z;U;RVTB_Ad+Ezu#Kp@f4;bhh_Oh{^=NX@{&K-KT;>}+Ud6`r1+E^)nfehYR&5^Y^|
zwT&~GB@qA9$LkePGQu%3GCDaw@4PwPFi2H}wpas>o%QbFBi!%%g~xGLipe8;S_X(=
z;<!_j#s_C_M#nw5EZK&R3tp=_+r3vV5H**PH4s3CRJd8=6k|CldY=k`2IsH(M`)vK
zMLh&7wi!#`>C2NcWMSUV{c;h>QlwyQE)@S+|EUkFh@{0pcYJ)4`$){G+Ij{JRD!?)
ze>h%luJpXLY61jLn!jCb<L?>u8galXuWvm)CN*ozB3fn~;M=c#v}3)C*@wvp*ZqT}
zq;|*<baS_ZZZs<4H_J{p+j`#QzLa6R^W$e{XA=xZYbHbWu2rqWnn-SbK34+|FK>H)
zKQf@f!@8fIoFoUzLS0>5ImXu1G^n_k9zcIeC+uu*b2TbB-QL`+ZV%=6vST8?0NMl#
zg+ff|%7*8qUJDxRHu?r1j>u%vM}E=Lc|q)?Lpg^nZ$9;*XHnzFxe9Aq=8_J6!QW0e
zMgx<=+Y|QL3f1kuTy&imER{q|?d;GrG-hb<g)-3%3=F^%DTSVH4IRu!GJ>S2zQ)AF
zOqzIkczn>%zz6h<n8^TiU}L%2>*Vs%XJ~)wqpWOTO^uDd@HFE7S&HmZ(Yncd8rT%X
zw^v=+rPZ(|1$T}lm~qsesD&JnvI~ZnN2wOa7SSbRgqlLv+^QNgA|+MY#$kL(h!b3Q
zyVet=^SBty{kv<wj0htyF1uo$_01Sd(<H%h5dLsv8Cj<5g{8$smd~3~gXz53$xM18
z0L&O59E9}6zwPYlfrp%&tcijq?Dg?HAcb$<yphcmA^~d&i1oz0y#)XWG(334i@oy)
z*Uh0c?zohc(DZa-P?&wg%8D5l7FJkXoEB~f&R@*_c4G!~bFoQD!HMrQjKTAv1X!C&
zYCzraRdVA6i};`tmfX}iA}X0n(75y^H2<Q;GG;qzjd25wM|Y4C{#IcaOcPC>?AEV2
zHVuPsU($NHCKspG<W1T(&P^s7G<&KUIZnmvAOs6P-N2QVl@ahc(@I3Wekm+041gu%
znpyz%FgPti`_4-!dGzk`fE8eC$bREMf`do(OH9N?BNd=^Tm%>oZ4(pN0EN4|_4x?}
z;BB~jdP<}Ao&d-VsQM8S65{#1i3sQhV*t5SUrBLb><q@4ErFGl)oFXd#cT|Q7Unks
z!>OaxU0@QBSP5@DhmU9^OPCqU-j4_9I#<>NR{DQ#_0VC&qS!ZE${l{*+nzUUj#AQb
zuPy&=>9iZW{&qBJp)DgnKVJ@QeJ)EBp(2@-8jRZrKo87TTdL&TgYClUu?$M3#()=+
zF+33?+ntk>Qa4gcq&047ZN9Ut+i4I}go^O>o{8EYS)NACH7n<(??v0PkH4561YG5O
zu~`kiM2c#}pKih2DkyPedEu9ma>Jq{N3eX_7&beuW87wwXmsi5BGtpp_~w6JcMMyY
z=4rN-vNpPQ>Oe{NYHu$*b2)tbES}oZC#t#--G4l5B#fWA<}ttg2|9+;)2hl8VaHBr
zd~%gJA3Gf*jeB=r^kd}79xGk<Ck0j*z&{Q4Fpwc*6u5F`Gakte^_7okj44L9qF6of
z)1dl#!X)Z1b6yq(_nm~b?)kiBY<N2#;^zV9jX63Xs{1rt<^!DB3_T}nF~+nn^we+B
zOWq8xMXUu>`1HTfZM=uvDh#Ze+M^8A2G>9GkQtEJJ`x9&2Vl{QAew{Vnv(OBbWz~%
z*l<5$jMJttJ^{sk@lU0t+))8ibU4XN3+La9Auq9za3Kk5svp{B+T%M482Ji{{DlPO
zxxM!WfbWQw-xGB-Gu3EU+TV&5uj4EPL2O9y^Cc5(mlP6Qvom=K*TPg4E?q%=hXs5{
z5l1bLh!{E)XgtDGvv(jm>+UWD+e#YqJTy1t!V_3nIwCxKwI7ws!p#~OHVUEaVHuox
zxq#Ni;k6<<qvEjZ*<Zr#{ZaTW!X{3#;dS23fdFZ|2Rdu&wZ651M-~W<I*JyG=Ki!~
z#w^3>w$Ds_Q0p$a_r}OB3Z#KY)V{=nkl(3df#i^mkF32L!sKMQ!^R4Od;NUJ^f=<n
z*cBf6S_u(n7WVe!UP{FxiC@%;k}t;vIJgq66uT>ntgI@n<p`=>+;1$_h(H8K^P|W{
zKMe%p!EzTJ6=C`g&WS@e;rO)%UAsanh8r3oFp!9z0XOgZ5b<t@TQk8YX{oPx0bSYs
zyJ)x+flm1Hx{{9VDv|C3L^@AyDF+USN_-yZC?~-KSPdB)?MrX}^wGa(HZVWQ_DgcX
zf9o6)j**RncKCn*oXW_Yu?eKL!R7BeSvfgTykEx6IVqxY!24%|ydhsealciQpc~>$
z7DjeuM+{ANcJ^zSW+GpiSSd-Q#3rScH&gF3vE4F;juB`?CgVz2IPtU1TfuO|6JRb&
zlo6LFq{Frz`iNMpO(4wHL?^`*`cf0LS(JgaQH%rVAE>a5rvDq$4G{_LxidX<gtV<=
z!tq3l)hI%J>(^TfB@T=<a91RZqswFI;H}1_x?h?~4GoK4U#YX;oHU?Gnu0s^Gpl<)
zT@=dR(%vf~GyC{*c@rW-5Fe}<6yJHaV8D)=y!UWFU77o3>SV#;uC1-PID!t(>-Pa|
z<^#R3bRi;zH1+)v_TtbVaW}HJ1O)qzBxn?`>9}s0kYxr~i(`nu$$!*;x0xUGw`S$#
z1@Rg@hCtKLnjyn0?}-G3Bs_mRkc3M^1L|yNEE7A*XC)-~s4GZ}WHOydeZ}Fi=HzrZ
zi<2{1nWz$ybKW}aCBO2k3tq>9e7t+E@4-w42=V6VxqB8;6NLtegQ@um?I)geWz>s7
z0f|VunWJ6w<s#77kdEY@5q`@wk>DA#xls;L<I58rEac?0pc72k?Z03|d+mN>bovhj
zu6ML>D9~YT_)zlC0AsMiihKe~6KoASg_z}`rW0`uXU&bn7%j90VDfk?$>8i#!#Y%l
zKa)kv334@m!J2Lr`~|=SRxnD8R`m3kZZw3zRF4&<G0rGqs!{$lz`d-o;yV1wc8XPd
zE>KKg!aB8ptz8qV`Ns*m8x!VxOnqS>+g~`NH>429bjJ!*4999;E!r}G)F?3JU}ddd
z#z@D0IV9CxT<FaGP61L{*>SZ#I^3-*I~=VBIsfFNdB}hS0vSXh9kC@3v?%=An|H%~
z%<4Hm_ue2mSTQyji{3Qr=rMXS@5{b2I&Qq<hR|m+oHp~=ch1!w9Ia$=B>NiFiAhqE
zhI1gh3zX1vxq&buGUNlyj1oOQbUo=QHt*v{r^k9EQ6xV@3juWWdtBiI^eoc_@4#G8
z|GQ^x@zfd=6FdLZHUBHWxbQF$+FrgS7;k<9?jeER<C5S*8}v<^7^wjQsyLBfdeicA
zD9%J<VDj|Q2bJk7cYaHO^o2KH7rq%?qAuu<g1%m1WHXU`PGd2=%J!`j^x;Lt#qcxs
z0`Ei64h_vD?3Y?Xfo2Wu#|RVSabv*D#}jeCIOqa;%_29mE*%Ck_?<mrLn;9UnnOxF
zJD&+@C+I9SHTgHj1V?uK7_#Ia1_pOI+u{j|bnGs^;s$#A1x%NUt|R$5bnm`|6FJt6
zX8pn~Jshf!4!1!5)(`)Xj&=H(b`$o-o1|%F0nRX1mjmbDxBogFP=vHKJ&!wc0GV1X
zA1f>?Zg>91q80gXgdPs}m`5vvL6Vu#qui@b(9N@FtV&-R80_$i1LS-1-b00#+Sb7F
zg@7%o88b<z3oUqypCjAXI&A6N*KlAu#DpgE3=*+o<XoufU%iZxVYv||9Vy7p+Ot5M
znXETRRF9G}_BgA+s5?I!TgVcePda#C_hOXMa*J29Q(Wzzve3G(lYkbbHe(R}&8MY`
zJ43aHz#z%mfD3K<KYdme{Wn@dTnm>*Hb)W-yvk%0YJ$3|@qcdIWuj}u)T+f2dZg5x
z5=#e?pGxxa*0PexIk@~*D#|!WUMb1%pAjfZ<3lEVtsVAd*&<OdSQ>wl$UgsE<C7l#
zHvmii8Dde}D8vc8n04Uga*Wp+jEGVhr=05hg0KJIRH~~f1q>(^Rn&3^sNfTob%G)s
zFozVpf+)k$cr2`Jt9-=&`!bKTujsH4P|w-q!4lz^*w#~m_%%$xI}*Yd&}JzkOdd;d
z77py>%8Jqnq(yI^c6xtWtVicoKp;pX{EUxIF_cH6GDon;=-<AC^(jMIvVB7t_3Uua
zMJgR?*s}4ypb0@BDKhai*d1YSyf(;3C%QK?mVoeJLpSiGh<1nIrXYjg@hH>iSe6VC
zML6E;&oG=*H7Ron?4Ze@1dT$>_TlakX?NGkWZ%5=pVYm<3Ujy>fwzeY+_f<4aN$9g
zM8Z}2vOj(u`e$iQR6|i)H(KfVX4IKOOpw;2mHubHRha2QaSp_f`2pd>Z{l@v?0?hv
z&i9!V4o*}s(!GQmYIGbwAK|Ya#fx0*S)h|-nB@_CQ_~R%oxgu9n1ITmS0*Ynrr;Rg
zX2;LU8R}f5@To@=&-%B;aO0!`QQq3O4JsqL*-QSLZQ|ca!BzeAO@}#J_V-F6d1Zww
z|01@JsXh6{McpF?WUwY}>C8`}=l7VGIRLmX_hEs%ABTdH?^V9-1?yxRo<!=mv6wih
z<j>R5F^HaR0cUWoZCw3)nTs;eI_>EO0eBkMOE9`2*({&sphw^_F)$!miijpACQv^=
zFE3B-NJUA>zpd?kN@{BR=qN@!jhu*`U77nMz_4Ng7*n%za~}*0$n5OwZccm2h=|_;
z;5xuD9r&Ky574TMh=_dB6BG%>TDY+JG2-#e9R}610@S97Qq75Q8j>=IuP*D+Bq=t(
zDZYI1f}EF^5D+);0E{X?drt-u86|x_cnq3;z!N6|SqvVxBVvGO2eKIFw+(<l1_ZbM
zE56SpeSLj5Ab(Klyr&F+`;?mG%*<#&S3ndvbqI|@GJUQH%?4Ba0YF#7R3dFkqX7Mz
zs%sm*Z@(?I+<`(6c;pjR$Q*G|4g8agB?ymWmhe7B>1%9_ORE!p<mnazp7^-2tWawh
zNL7sG$>8g@coQ~zPDOq51bK_d*PO`cqym0Xa-CXh5#iy6c6QO=^;bc(@B)&Xm)AZt
z1SR^|oshgEf&<A4DLJ`ra4H`L0?vZ+0>+=%gaoQ(v$M@US_XzL5OU>_=2TT-B_<|f
zRn9Ifn8bF6fIz#iTT`Z?hdGYdr6{A(TV9$)U%nisOtbM;G@Z}=rH%$EG@*bKk<${H
zT|06tb;x%?cX8n|c3p5-?jtbWArn?u1?$$L6W!4vLO@8^eC44N+1Cfo)24utiD|jG
za8685n<1c+CNz$uvYQh?)D;!UmF(>8M?l(TX14(r7IrrGV|<tJ_3=vPP^PefaT>rK
zWXn>V-DUk65I_jgw#W*?1AmFXN&;~c=N-QRsWbUoUS8gcii%j;iLo*Nq9VG_pFh7|
z3K`kyoSoIoUK}5<8uKwWHm>k}{sPE1J`(qWe`#k8kBCsx*GB^!^6<S{jm~smzkcl!
z1}FAA+S_4345?xhToMfKF)}v~xxYRZrN#LS%E#HR2_#lBb6K?sudF2JihMghSy>g2
zp4akZX;*zh0+cHgn_NXjMdc)lGE~&mMvL{1h-hd%Cu={`e#?+!yeG#1bvib-Z05R1
z#2^tX8Nwg`&-bm-x#wQty;ViQXX*+e`!c)9B`+^uQB@_Pub(02At(0=>>49eQ)(As
z&^Dl|rj}Jvp}5YZ1~x<hpy5$wao$ygX5<Ev7_A-B@mEkwg@YAo6Fl9*F+>n4ayhlr
z6;spFIu{oo5*Kdo?y@T?FhG6@bmqVUk_9h3$~Z(2aVlS*o}GOyD`Of?=MDH6zpw8i
zub|M|>~+0*aR0#Qzq$DdV6nXby+7UIxbJc^?m@Z-%M|P+tX}d!@R&H<h9z_-C#O!(
z_rvP6Evwt;j5IbjmcngMN~4g$@TKz@04sw2nC?88WXPnTewvUEADDRzLc%c69wVE^
z^{S<%Wu5y0Q0}m}pBSQ&2@!(~z@NUp4<H#uD(Fcibe+!Y<Zypw3y?AiEG;c(n>^T|
z6j7j)<j348$_v;R2naGhs8ZU&^U7R>B&H$r%C3csrUCOxt~}N<9#`(ZXPZcA0D6y|
zgX5D(R;*kaS5#s`Lg<XSnHd{|fsIXBS6yF!czgK!fUK-+ioZWh8jBI^!0<3$x&2>T
z0R#kuFega~2{v?e^q!sb)cAPpg&ON*ff8^c6g1M&)Hwpr2TTOV%b_hv=+(G1)O3KW
zYAmSN0Iq&QD;nTR>Yb&mNMdGYjGrF_NCN>8kqH3*qh(~Y{hS#djtovJcMJ}q1_uYH
za9IA=<(D;6rq>DhTnx?45qx}n>Khu?K#P@)LwaE$?Zw|YY>;#YeB6jgNO3NgI1;3X
zh!BvpqyyNJ<QRynYinbx1a3!*{z*yd0bA?c5mlubB92o@5QoP*my6>SGEYy>ieJAv
z0UqJI5-Ud$eOr&?Wx+^N!PoHc@L+4TWs65Bs;IotC&R_1zVw=#Rn_XZ07-(~(JZ)&
zi;LBbjW?t{`K&;3g0&6G$RJ%@S|W<P?Iq~+eZDu))X@<IiW{JA{`vDKc6QrEh}pDP
zoZl6Ey4}ql!27Y4r)BpwG6L-u3dExmytcNswv?=_jYH(NF1mi$LNY3@Ibi)Nm5d?%
z3r7F<;r4uRZZ1_Wl`XH&XL~TU6JS@)0);XQ@;#b>@LUt1I(8qp{he(Wdc07<!^Q0e
zNT1z+8;Co<ynF<teaV-%uMQUm+uHnIzI<7kkbqMQ5Lfem{v49e5TL7T?2i|ik7MnD
z_GHyMZb)2#!{on!^l|V=JYo<PC}f(=fwD(laj|sLlnQOxd{tp#sFt>N6<EongoLiE
zqosk1%gZ^S(@eDlgZ`7$0m;D%FalO^tS%`wwk?`WczC|Xx;KeQkA9hkjqN|cfxEYd
zwK6b2uiY@EmIQ{@d*dy%0D9s;r;r)D`S7Qno*o8nZjJpbu$yFcbkckPvl0U}br7RY
zZRFnmeiae7U1*(FvnMAz8=G+mI++;|7ZZ>sHjR#sE^TVkZ5lf8*6)ujadmcZFdRr`
zPQE!xOiJo+ZaJfhseQPdF_?RPx)!eWxp#&4qo$(b;E{JK`&piiiKHeijSSbuWYEIE
z#1Fa#CdS8&(aD4o8WoI;C?=++Ou?G3SAk|Qct4QD=JG59sIXPQ8b<i)H@UMO%-583
zaUD0EqY<$hcO9sQu!mdpuCA`qVAESZW2j;#+ctQdo0%CKchJ9k*KG>5R8EeLmf}(M
zZ^~;0zC7@3oVqi-eJj~CG$Q;w7$}lef4Glb45)~BCuN_Snwzx@4S(G1fLSv$G3iwQ
zsZH&24@5XEid0ZLdl0~=4gumK)}9n8Dr1nBwE-BR>z5#JE=!J40W=z0kN)wwva4?O
z8xt3#DUhWz)x<smVrVcqdmK0O==01L<-UneM1%rdl#Bf-8QtyUV|3D(kotO_qI-Z5
zn*)-3K&IE(G&D4T1%1QCRXgScDnlO!9Y~0X-Z`Q|2w089;(Ha<!)<zdB1!o1zz;M<
zK9(b?qmM-0ZmI)T)ws<MX7&7by$ZBkkb~AZAdlrrM0R~8jNq|rM@MKfGBT%JZzLk$
zJ36xd7ava@y|cCkV{L5>+B{H!Fo2!B2y6j`kdS`%D|Z3XhsQ^vN1^6@&!p7UFpwV&
zvyF_5gl^EWGRDWI1VW8NP3V?mVP_90D0mCHVBVcdX;1yhVN4TMpP9xR*(wMJ_R|oo
zu2OzZ4xEb0gv34H=H{l~$c~KcI4UG5DJkj*8yh<S(9peMV31wsVb+g5h*8qjjXXR1
zocOI&OX-j{Dl3bk<@w3$;$Q|H#Fz+Z#BIP(INqEXfoZ7ic3FF!YzuTJoTOwgd~czF
zxv}y1UlTewj~Y{xXV-%n7{8htPS88~RlnIY3pgnNpB4rF)$2eo^FY<9;7!G+^~R9p
z)Yht7kpO|rJ(|!=YnnB?G?lZR7$1>Ib)1TRujktb=mI+?CviX@q9!o#Rlj~!f<34{
z6M=GOF|Zvw1)7<#ivbL&;m|iuIlK68--=^3p?1e^kp~zNlbe$@WZr^OS`~h-e7)bU
zh{(uT&x^m^>_3^B8Uaa?PE;%s(J4k&vycG@t@ZWwp}t28b<E%iL6-+J8$b*<SlF_W
z^qXh^KrM;45E%e@?I~6(v5<d{R_H8J18N9R(la@`jm^y$z@BezZGB9b`M*Vk>tDd|
ztEu4v(nad3Y0zs3f1jJ1YY22^3a2$*5~I%aDi3oj9RSxw$x<xja4Sg2Bhl&a?L`2_
z_$Oa*DHt3VIA&!~z))`|^X^><ygfc=!FRA{9M?L6Xg1X0!8-)h*49oQi>Mq<PhMR<
zgFe2Xnwpv}u1ov$mf@Ye!Fnr6OK)#)p!fp-PP7!&U9kwM?Hn=Nz2MZ}Wp(<}7VJ%+
zZ@Wy_*4BphtM6tEe8UDn-u<<+vW&E}F%Wi}v21bWm|yOv#y}NvhgE@|okHgVXOC)=
z<{my}8Fm1KyS=wJS0zo0#I#V=qH-5uFU6$SsJg|UH_*s<z@OK8<2nXDnyN_q32dyW
zo{i(<5gOT)(RnL6P;TZ<<F?QE-}bk*UigHt3dkO%5`b&NwJZC$<hBwvgAaD&VZ!o%
zBQkT2W6|ReK#xcEZd8K0*|chiN|oIJesi&kr&IaQsIkz%@XE#+XF)+hEnQvW-wtcA
z2a`qdUDl1jDj5RAa0XD2)8zu>nP$LS1?aQ`Wx5R=paV9wyu94~F^Y&grJ;cr@Y7vW
z>FW#)3}D-<2-|c3v#DuiMZZvO8Q+hdMt<P>DY6n!143;86k8k0VTXl<r70rv^~Sb1
zHWs7Se1tUV+qZt;|IY#ciXf)f1kAjuZ1<L5NiC?weFD4hFQ~VfgH|RRVB>%Rd%qPT
z7we)kjh@EhedCanlJW<bu)e{eA?jc`O+fd?51_^e{`@iIwp%nj-x)C%AdUGh<fF}s
zYo7;7pRE4x+d$-`36y*q5G!^rF1*&c8>qPh8zZzXCOX=TkB{#!XjwG@ek}tJkLLct
z6VO_Jfq(ZGs7w$9IVy+9S?r%HbLv)`$jYKZDduEkWk1!~Eg6Ggil3dE+nmh%#NYTG
zvkBODZxu2s0s~(F;pl->fB{s3Uy{CmXI#$botf4cO9|Wup@|LXo*o<>jYSF);R0o5
zb!BBreS^#fP*4mX0LaO6fb}vpEDVXAg~bq?MmF{a0*wv);3EP80=gPN;V3mE1YzU+
zb`YSs11Xmou1O^G09ros6)}&Zm5v$k^m_KO=mAW)nW14@pa{kJ)m4&vw;C?+h$2~C
z59c|zcXoPTz{32hsWC0lC{J>8*^&k>5h&+h0fIsn;C=zU$qy|9s_W@7>bC-<>FG)n
z$^3$XURgQ0xgQ?_W<lh&rEj1$Utt9ItFF%6TPPE>V*ZN2XAYkMqllIJ&ZlO45BkO9
zT>voj>8<xP;0^?nLQ|<vg;iPJau*K#2{y1e!DuA?0OOgu)?;cXFC1qn8o2CG%Lce5
zS%Iu>Z*TXgm+8)JE~%(d9MmoXUv$#i*ukN~Jq_wPiAS*Ze0%nbh5DU=O|ox#K#C3O
zrN4zH=)jdWIMWOLuUPeLkN^Q!xrxve0l2dKm*@Ncz2)xtXpHJb^;$791pIsymlrD&
IG5q>}09x`W?*IS*
literal 0
HcmV?d00001
diff --git a/QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/sphinx/_static/api_tunnel_comp.png:Zone.Identifier b/QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/sphinx/_static/api_tunnel_comp.png:Zone.Identifier
new file mode 100644
index 0000000..2d45b2b
--- /dev/null
+++ b/QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/sphinx/_static/api_tunnel_comp.png:Zone.Identifier
@@ -0,0 +1,3 @@
+[ZoneTransfer]
+ZoneId=3
+HostUrl=about:internet
diff --git a/QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/sphinx/_static/api_tunnel_grid.png b/QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/sphinx/_static/api_tunnel_grid.png
new file mode 100644
index 0000000000000000000000000000000000000000..3c6c30bf3cc0c60d4b7351908475485c34556a28
GIT binary patch
literal 70945
zcmZs?WmFu|5-mK0;KAJ;f?IHRf({zo3GVJB$l$KQ-8HzoyE_bSL4y06+<Vve-jDCc
zELJx?HQlFARqd+UI}E5Ojf_Zu2mk<(zsg9c001A<005{wcv#38@;1#H$RA!8Nlh13
z`|mF9Mowk`1tS*+8+#WUOJg!OGbd+DdpizhUS>8%G7A?M2WLJO7Tf>t0%m(BbCx;$
zb8?6g1P2){X8-`z=-&sbM7Y=z00jVil@L|)$T-V%*Hjx?8tT%~L_-6rd11#=NGhWb
z=+{{1u@PWmn#gm`q*{gl`uir&A*m|QJ%OcqhU^U`34@KLCIOQe?Xvv#R$EiE9vI17
zLw4<%<(s&Y#(y}uxgp4Z=sksQ*`UqDLxckA13U1zM=sC9I{f#j-o06T0CEoUFB7Wu
z+@1fPX2UoKI{x<pJOuZW|9vqsh+pl0CZu|a>Hlkth!Tu~{U5VL(Qyu-@P9u*gfb-a
z|Cp`Z0s3AI;9lO`1O*4fP*6~yk&^n4y%BQR1ax%?Gcq!w5fMfHS!*H`c)#d+H$Gdg
zt!Zik$x!tk&lSTAl~h#?a!d(8dwY9p>gbp}-5d{3OxRA&{qI(xrV&vVvi;w}sO6Fk
zAOG&l$jFFTSbWaQ&yPz<k-m$GiW)du`OW74=0in8W4u~#naX8L5TB56>q}2hkA{sM
ze81)2HRB1f;Ayi`2LrjO?w&w6$K65Xb?=Lg2|vI8J#k(#b2Je;`j5BQ=iTcmVK{)r
z7lP)N7VwIB_CR@cC;gHC`|EvvUfu_tCcA|uWFj6kBO@ctHn&RAt@3Zxy<=lYVPRqL
zNJw){DT#?W-uLI4U4DY!$5WvIG71WkA|imDogG$(?QR?%)&DLmF}9@~iEb`%d%jdv
zv(=@vQ-Kl3<mPB5G$Mj>sDEI<Xe6E*)^=uQX1Ups^18iPG4rQNY5&no{;loX+na;C
zyZwA_{Mdf%*#1)&CjoMJc=(Nx<bO@ul2&R&)YY-`@bil^+6k6=MDVG>z`y{@7aSZM
zSS{Qg97L?F=y_>qX+dY%2?>1y_KJ!qrtJ7<XJ@G~zn%7F+iw?j#-0DWS1j91zklyt
zSZG){uvP|@3D&wCs|04&#>Zncx3y88R6mv^yW!katNcP(-9rRBm4$LOs8CqU(Ff_*
z%P`wuG6c7o8N)2lSp3xdT95upr6!!GAQrjMfRsN>kyH~!z@lLlWZQp5MQ<dG&YNtZ
zTADT}rf{PQzm`M3sz#re4fcEhd4o5yv%7odQfkjYdbekoS=FgLL@ms+#*7WHR)c>1
zt)V5i`TD4TIrA37EhrbWbX7UmPK&4wPzP%hnflw+geyaUY8GLhlKsyH6fYTQVPP9i
z2y2=^+x}{IC&pU_1KA1DTguMw{r%=-t^%c(9@>jsy*N?$GcguO=Tv>~e*Un}Z~S2_
z25ULi1yzA<9>`z%ufC{&Z>1a4*c#Et#A2}TR55KEhEy5K9FI?%W?Ft<wzW}PLY51%
zTViFXezu)DIXi=oj%1=8U0m8L-=c`cbAdU{&C7-<CmKU++}xm+mX@52UTwrU`DS^7
z;LC-13|lfH`r%-Ef++ke@K@cvf@=xgX;Z>|EamLX3fri&f^aIE$pi@rpVEl1S_#6(
zebh#-xKsytiNplSdi0^d_=mbh72A*@Il1QOzgA2%Qo%;IOCTWAQdH?Vg|6o8qp2Q4
zS(H<I$t|Ypsq{_$B5FTwY;rBBqd<VBsud$|^`&o#S-p~6y|N<uLJX0do_L}-4A@(f
ziefWVdnZb!KCHf96D^xxg3ydqVtxtkHn;mgJ{AS`iaft?F`!0C+^0DX1(t1Sf1KT7
z0V6V<_oG4eYH>QnI}MvXM>UiqiMEwqq!x59-I9t)nClFh$=4w{inHRP4BA;ylT&FX
z-^yL;GS7&HM%`k`zzFuVPhc>3xy`-0Qz3uG@M5zgG%}KENJ2`A;07)rH8oZ0Sv3d*
z>Kh*)-{!$())kSG8nh(_^;udjzBH3!gyBUT#;`Zg5up^5@W1hfDJHXjBE+?^Qswy*
zg!9dsNvrPTmftgz-_tQ|K|#TGX>pdAq$JG2L^>QGmEXPUhlTG<p5$_iGp$CYcJTbX
zT7_oq2U?}9{@!4uTVIIlIXvB1W(fO}1Wao2`99U_lbTsuM?791nn0X*xyxTzF_SOY
z^ZJ0CojraFJY=a##OsI;!###B_ytX6Cxrym$A;Whxq;fC9SE02WclCQS^{oBV$Sf?
z)KHz-SZqQ<U`-9{*?NmAi@?<IFe?y@O7I2#bg6oX(7yf0lD;=`XJ_ZXP~mldUU~7`
z^ZI*-I4t1z_lXYxMuScw28{{;z~}D>En37ts*o?=o)a%5gkJ5Z7;HAaem6$`A`v<q
z3Ge;66c`!=pBDQIPRv@gK5nf+4J*JZp8~hSB<wQ`z9=9^9g_>gi1s_-NGL2PTmx5s
za&?HNf3Fab3)4sz9s9Y!xKtt}ev(e|!E8ZM;QjoQ0DqNm=d%M`SzarW0!<YRJ-t*l
zk}FBSrg3FG0sWaoWFbM=ZdmAU91ClqecnONYROWdhy84XNMvC>M?YW0@GiQwtRz$^
zHy*lI{ueE^8&K<_=30Fa(@jh5q-X}AD=}I&;ryvw$G6fmVG0$>AvXc_Zww^>Dq1rN
zs(E5AAwi&2@XIf6<dW00Y5s5twc#|cF6C>CC2XU*(D`>|XP~tbaSVanEoNh!@?V|$
zxFHJ|Z2?qu@51_etj5Mhye?;`J$CD!Yiz{a&9eAu;7F2KwmMz$7p?wcigI8kR^e}i
zg|D_K`8geI%6x*T<pEEV&odufq^|f1Q}RB}s|lM(EF@<F0R96VP#kGk_d(SnBw(QO
zFIp#sD72>pV-F|B^b!M!u&0q*llemBQ|U^<TWYaLGn{mWu!!uZWmByBglml09S4ZT
z<I7sa1ue<*g6UuC?URdA;q?d|biZZNc}S>dt6VX>9{Iu74KarH^6VNDui+yH8d}gN
z>#0k@w#fBCc3%|`S66~gtnkZo^rk;@<^ww#6_~0AAFK7nzkWrqv9Spv)`2H6*>+e3
z`1?5na57C(A0Jp%(|f@VR?V@$qSCn;&^YI}=8GIwq5c7hRlxg;$4B)fr}g_I;D0VV
zsdaUxU}PL;bs7XfPFU_<3aBZNVV398+~BH&Ijrf++APtRvLfb|=h-P2*0U5;h0k`@
zY<yJ+o*UsW(AuYonp8L`JYTodPFNTxAd~G9wW`BgE8!hwxP9Mv=`&jIa`<viJWKda
zBFl9&SVd_vx1sDln82HW*Pv0r74C>!(m?BKIUoGh67{PnJY;8F@Ul<9&cv|UNEZ_t
z&Mn7!(P=Q@m3C1~MyaPrt&EpBLz2dcHf5C_df}Dvyj0v8Ou^#GVm5VGWz0YZ2-akA
z$8q_73ZXB$NE@1cPo7w5Sz<!23aZpIZ!%DsP|{2~cXA27GO3hP%?AREEGb`JX52pS
z$qMkA#g-~Sa1v*U8bO9&0@P9#N{xFxX9I5r*Cz<t%HaAbl`lFT;<3D@ZDeXds+tY~
zRaOsA)_P7;L&+P~#&SHi`2PT!ZK(a`8!CMR?9|p!gBp>d4tTau7i&L>!bvw2@&olo
z%^_t71;(7F5+w96Gc?o<8ogYcad2Vt>dIck-v!ZUV)*nq4vVbnS*-o&4qmj>{74tu
z^`tBULb=KWV3TM==I6dlpM5S<=kd7tAcb-@ga&6$l`#PTsPUi`s>%pvI>0VA6x%fv
zUwhQ<1M;s$*-n1qSuf7GUTI#d*Pehh*GeR*XC;8A>+3D0pC>SHwF#2a!@UGQ+oG0F
zhF*CjqJ+<XuHE;exRnWFwq1MT8Ta)g8Wa-1YI_$dwPvg~tc#hKQ_e=Otc6WHh#qwv
zD6!8IavwR7oHr9WXviDf%vua@ebIsLgh1GOHjT=t9~wxEe#Z6xU0j<7FX4H5&hJ7!
z9L3HS|L|x%+vwPSs8aI>)TOG+D;%1~JqMo37}>&}G?NtY*$VPT=9#=LN-=V;xSxU{
zjf%Kjp$u7L?L?>_B1O`Nq_|&<g5n{6mm9xDeJwPU*V*+AlW&^PQw;vZ&lUoe&TlFi
zTwL<U-B`bT{)12FgS!NgA9D31X|Uv+uyjiTr4a`k4ECg{&z}+u8Z|2<dQ(Zze2{|a
zav1!N1n;{FBQE;yA|1(Up+S7y#<iOEX2oIzrXDdqad@h9v4!TEa|~#}B|3aN+XFSk
zid=Sj4B5g|Bjltw6)2<h);8qM$0tB1!CAy3LlO9W^8q)$&Z$?3vPyW6)36~8rKiq!
zsU`$_rO!=*FirM{qYa^adN*+yS9Ez2Q?$JQXwIMf1W@h44V$O|0|$q|2KR^E_Sfy%
z71$(M>d8IR-8R)?w3MWk3O7%;)1M_-B=9bOeu!|xdE6c$mP$l&uEp#;|GApr!v#Ee
z-F0`fD%~JCf|_)=mo;^A%Cy67B0ro7W`s|)O^L`Isej)RMnfVYw41)`u3(8xSDiiM
z;-U@qEaY)Nq5s({2;MV_(N!hv2Rp=OB}eqWuuDkYLK1TZ7d+}?115bU;!9?75HfCp
zW9Mgs%XVK{Ih(92v@8Ttc<Z!J-g7LwDn{fXo?hUTV-8mCFBMvU(y;M=7T!m9&qIk`
zx}Lz&-6A!n#fD01-h;(GoF>seKJkEMHONu=^(DNdpniJsnv7sV(%$GwO(VwQH~Fsk
zn9R0>8fSNmvN8fXp=GJZvs-@vAYwDk4&sGGicEyu{o>!52ZBm{6>JfUqk7y+RuQ=O
z)jinU2<z3*%>WFbDA6fqJx8i*0+O{WQmmv_!6|T-{=@fCwRT<`9!1@jXrxD&3FE24
z46%wee~i+lYX>0)R3s_n?!C7k6HYea^JBaZuDb|Cyq@^7N!kYWOKbUr8cbcNKl~;=
zzW2blzaJ|GIu7l!?0USI0Yo%I`T1Pq8&abt6c&?w3W`lBO#`@F-)zJ3>PCy;9C<Qu
z_AhQ7J@&%TQy&ef+<fa6<_{cJ(bjXVK5*0$5KxfG6{^HyY7=neWyepeTZZb0aAG)i
z%o1p4PKHktKQ6oXY1$i<d?9Fea=<O)r1uR=d`&xkpxq}rM@1Y=h<mN|SaS=kEm#aE
zx9#0R7>S)<yPU}xWS+4t&@+?=<)~O*9a(oRaE6|KQA*)Jy4s(DtF^h3h$O-Zi0O>{
z(VEp6H46}>!mu*a<P<R_%!dt~H$_KMWm<Z_zb^FO*^P?0I>=D=07p!~ZlpHY^|xgt
zw#K?U{!R+donrtVQ!Upkn_3~&wZoebn&1=F5h4H1icsGjDC(nZ(7=M+mF=H~{s?9Y
zq3olzH~h8K24$O4m|>lJx`|H>umyLazmlhcX{U>l$YkI>?3<V)1Zh<7JzWMH2NBA8
zvx;NvVe1T8OwkIc!W3gh>Anp8A6kS18k+}h&sVb?8T>S>aw+Q1YLl+IEG*apUB||V
z07FwHdzn&}TerzV22TJ0$(dt$)rGy5b3)E)hjYC-KBfd{uc=+1y}^lcXm?OvefI%?
zQ;}-)FT#hlU92@gW0+n506ghRaw!Q;u75Px@detJ8<MpuL&{Zg0RdvAVp>`aVU?DC
zow{!<{S@f>o&kqlV29NY_)Ca!Dc{21^1aemu@nh^@~gQ+*>Q0J0toxhu>gq-*q@V5
zdu6H`-3=V4;EHbH0R5RVAe8|ET1#OnB6-Qp38zTnX(V<!|1l>X+aLb#LQovebTq<z
z<NxwIysr4dM^z%6o%$ULW28xORTil5q_oRuHjR$N#Nls+DysVy^=NV@^<Ry{aID0{
z&8X*sf6_06^F<|%vL5J`s&x;p6D{JfLknVBKjOCTDRjI?oV=M$nGB>FoZvi_OPiyJ
z)pQ}zmt#FV9R~jN{B%&#piF^b;gZTJlK2)dTlD2O?9rP2-EP#k;_YBZ<%f2fb>Ip4
zC#brELu3D_<w*rOOQOinX5z^oj3<I6j%PKUZ-Bf5B`*rL^xW7+5o|4`k@V7iC4X`Y
z;0TP-Wh&8h?C8<is*}glBrIb>F@%xj-@L^INOV|<?u7(lb^M~ry~TPwxY<e@tb#dn
zZY1YhSr1xUH|kgwq6?k2*plmJs-c#E4GM!iaNvz;=^FFB=Lc>pe2ox+a0EqYL-GSJ
z990fGO|pZD&>-!~p7+l6u!=Kd)%1DevyJSZJMpse1f*6FR8ORci~v#rZ?9rA>$m4Y
zf%w%F*o`h|A5La*GME%WYK#Njc2FL?4m58hFXV5bKByPL0ujemlt#1-Txn6*oL!-e
zh2Nv@YQN0!2JBaKWv%j1QoPpO96JI6?z=XlULA22Y?Q~Y$Lwoaxw-rLP*MI<^1yXB
z+1q~v2;3cfNm%W%B)p6@z{FxGzce2deMxgf1CU|Lv5n@UhVXyvSz09)Z4`oUydDs!
zE-hL79IKTEQkBH5W#A`CQ}6wl!6d5TN%ymjzjtLd#AkC=9+uEqZ+5IgMcaHK3vY1?
zjv*@(zE&m(wR0uP_Bmd`R;B#%qDa-_CXT$>{t57MV_i`?0e0XMSgPKmWI3hj1wH;}
z`vyQ3B1a`6PJMYLhe_}qW09r+dfN6X%H?W6LdpN;&jF%61MY*XTc1sgGO$E_xZ<;v
z&l{)BC{ILCFC!ozxJ89ECTQBOWPl*_1SVY47`asLEAwcN2aE7WclV0&+iyzN3u~ot
zfDOgPq*;o<LknMwBuu&GDY7a(eu;I>s1};R)5D^{#TAY(?X;U(JP5|Mc%*(!aOwBd
zr<||~mH{{T9Vh#>WvAv8$Y>^h1Q9NJRq0V%q`evDL))D_9X01pt(Ok{{J+#`hkoJ8
z%ULljyJ%A^z9<9@hK#~Vl1!<!lxiA{E5PI>VsI1yLzud-($d3uFEkkTit=0pBA+;0
zqcdy5#>XTqx6W*@E}l$0PLdE(@78%<?sbSHmaap0@#8>cElU9vr9-LN5ngm(6*M@O
zUfL8gajN&16lVa-&aW7Ex?Kgh2Y1H@k>2frXvarT_mgf%mUGCzy+gz+XUK}nu)Yr9
zFT3s%-5u((qP1?(wN>f$%7Mjarg~r|H8LIZ^TxLyOFN+e0lwd6bMrQr{{)o?Z9Z)E
zevO^yQBA+g;B5F>Iayt9!fMjvFs{V|dz$sWI)6~l>(%Viqx7uLX7PNyoB3dJ%N*GF
z)(5?fy92vr$o=rKt!Go&{r*(kS6^Hd$>PeVR{)KR5lzTf08Ds*aF~SxDM>y2H@_|4
zOJARJg-cL;lzPhDS_TG1!T)UQLSnS#%grl5OqtRhI5$8s@~3nbYI;JK*JT~eVOo6x
ze{Z<3Gnu;>x?H|CahwW_d$?$7E`oD7*KQVH_&|lTE@Iq+3<wxkK|n2MZXV*mQbyT4
zT4^E7%M4_jr2a@yiNn2*&12vM&Bm=#%fx}8P5?evSJkCw?ys^=LHh%aK+PL8dCT(8
zEpeO=Y4bLcs@?=ze|b3BbL?3@gq7TB>51dXiVNfQw_`o;$3HsU4Zp~4Lj_FVk0_-M
zAtT=Qj+(np&Oe{t8Op)A6j`l2eiJB~B#x|weyx4hEGwO`Oi)uFb~H7|0Bp;iAopCe
zRQtg%R;GS*n=GGWwQ%w%AK%~GfX*iIA_M@nHA5nbXO;bae^A^+IpU|s^Oc4%dGL+%
zFkdVNmVWYo%ofgq{r&5&ya_4MEdAXkat4nVLR{Y~_+Wupi<4hXaQ*B`wf7zW=K1)Q
z=^<a=lTpXp`i77s;1V6`63JECy_k90qG7np4-)~zvb|-GO2$&`X+|LQrU-v}0h29a
z{s7C<vr<_;*<x_Va`#8ZYOzIvf^2#V2Kvb}SBVtWqj|M&R3+rEEblDyq0#dX=TP26
zv1nh*9t(LwYY)uHZr<`=3!Mic5N9Vtw?6H)xSa+zC6otw7lijJHmhkyp|VHsLLU(k
zcstUr?~(>7>u<szEfOmW`mpu)pxOs3NR{eF&;R^D)ch;DYc3&IW3gR=09}onDL|3F
zhlrvUr+VN|P<5tYNVCVzr7w~L#WUX-zZOOB2(ob;JVW%kq^z>2o<)_Lje?AH>B3Q;
z2qSr($PkGpTNU$6L3+nI?wc>P7;8mJQ>X8Yk`554k-MdVyEIv>!Hq$HWw-0rP~Yu6
zr4TYMAHLqp{_&ZQvY<G@f%r=|t}wC0S1onHwqqcS+;9x<?GH9`hB_N$HVqB;zMiJ+
zv%&rq=-Q*r&;9QnvpEJv7Kb6?gkKBEGLm_tU|KZ#uR<ZUPF?ajdTo%7^&4Y{){hv2
z*K++fqpsylb4NizRLc>q=8VKJ;mMckDuceIgt|0YRELNf&C#&2=43Bo%i?NsCNN^M
zPX{1Z9Qve{ZBn%8n+2NljMW#J^^{2D@<uYFDJ=`DK57cKpP+}`4FwjH?f%Zx#~srO
z|EZdcnXIj7!>J2tsCnm-`qcxa!fp=%z6EH<j*>9H`R9}d#!qG(=s2n?NA;x!l^dX8
z@SDfkzN4n&UWRCPS-2I^$}f08b9{!ndzLm6iGdrcl;Xv|PL?%pog*U+K29?GLvX9f
zNqa6HKgWj)fk#S=m@m!8AwJN*D~~gVKt|J{fV^rWfA-9eNwWd+g*m5(XEq=fAx|^_
zP(?c!Da8q>p^t1X&3|*c8|LRLz-HyZ(*F2HQ=;~Zj~_r~&<vH9b{=Tf8@kCkR4ELa
zZeN`y)8Z<|-bP76_*_;scwejpex54^0B}_3Xl`$$U6e?Jc=&R<B9JI_^{)PIlb2{5
z6MfckMtWFYp;S;b7iX!c>QAf`1|M(#z&o5lG7<0rma6Ok53qfl?>-van~F$;!g$?J
zAD44cZDrN0t?GsV-E&oUO_%T$-CPY$*h|6OwgKgKol!%dgk9`{gIn;&&06IadOA61
zkP)ovFHrpl33$}pDd~d|;oP$ZhQAseao5l)lC;@aC9D!>xBsP`4*zQS{^X&vK{}t}
z&k>)Q74a=^i#l75FC$!7cs){j^H<o6a|k>U{bXibre5UPnQ_qleTXJwNKqDtinivD
z7~EH}Xa<I=ZWdCzzAE7zV5(}~yQ7g2U0)vRccX`ShxXPd@^R8P;lvcKsYC6P6-M2*
z3{ZWdjjrOvV0=>%c|rEK-$XhAI5INr;lf<~yZtNHu9JcR)0=i47nR3&0^M-VMbg{F
z!pMDv{3uy{(SfZOVcMXw%05WVDbgSt?5{Ej&Q9c`H3=%lrGb4Qhqxf~_wPrH979>p
zhoZR}l=<y=S1tI<seUL|o?1_A`?4@XGCV=37${KTMI6SdVFP&EC*cJdL^d4`;6|J1
zuH@kErQ_Jl2b?r~idR7(^|zh!%rou4v!5!TJRVE}xx!Q)kR&L$C#o@2FCW*^*^I?L
zXZbl2kz`&4LjXrT<*cFs48X<xH+LnuJ3iqXPl%-4;BHp2G&p<8Bz3St?+$fEU$3;g
znB^@RiZak}ZUFIB8rJxIP<6ui&_I~PE_t`cfwB#c1@dwLB9xr#8+-{FVYlx@Lnf#w
zqBo&rKg1VEz$og3X739O%jwSeRf}9a?1zqOrHRe@8sX;}8V*g3fiabWB$uc8n62NE
z$;sbg8x0f&s;qI-%+A4z%r)^NmpyTmOkT_lsp(&*hsI!pNqK^M>qa%c{^Y93=9c<&
z4g+vk2k({1!c-OP_pD7pb=m0$L9>l4H&NmTmwaik%;1WSh@k}J95E{fStB;u$akwE
z4H=&Nj2lN;sEqx_5SNtoEx)pkW3!uUc;JShLyJ3CEmyFYxQr%N=F4=f7fPd!7Tqg$
z;RqV~44h@{$M|19(3u6_FOTz{B_EI9@|S;QgnNqxvKAE6dbyp3f6aPJJ;Me-CQW(a
zvQ&o$<OjwCja0>Xbu>05jqENB(dK5o&vU;rv!BdNOX{%2j&U}s<J_VMN>s{c-WNEZ
z9yRA^YEFDh=09y_ZLoHVLa8#vt^QC%?dD?n4IBEGj7~5<s<38a{Bmzl9x*tjy6UrA
z6G<l9b#71U<FsLkn$;e5GWot37YcD(P~Q-9?yuqdQAowcXK><5YcFjM>7^bc;jPsp
zFLl0c-Eu0JmVJ<Qr<@V|M3XzqiN?ph!)NhV!>v~4-jGSK&tt1KxphLf;)f?Kevu$1
zGJxmrmgB(<qPCcli5fl3;+GGmC(w<xru2XlPV;%Wxcvx%cBvs_7NcQSe-GG}yt=$1
zU>kf?L0I#xr%Zt{PqP~g0Me(!BMEdx4&~}0IJzGBGCf*bBu+LqRO9>BvVhgd!dPY~
z>j`}K{;RQX;j#J=W#o2N<)PgGS36-Iskl-I53~TcOQr(tmdVJ<`2|4f<=MBD%OB$9
zZLF!p(#~P`WpvL;cbujFZQSL>R|x+xiP#)>x5<C^YOU)E*4CIpcR9<$@C`WbYs^zd
zkL~d{?jkl*?-Qx8bR-dG&@`03gY)^%IPn)YtCGncW=J1+fBXZHurD@0YPPhWa!aYw
z4-<;4S0AB_c4DAI2Ygpo)6D$Ax@*O&6HCaa>!FwZd*g|*(<nZTn+lobRh|4+*&hjT
zNBrPbj)Mag`RsLEfWzmz^AeXH;<C1&oieKz7e;hp;<*h4iesw5{%(D|xiL6$#pt8c
zlSn^1W)C)Y#07fnS$iC?#dp{@L4OilBqRkJK~R#U9If$-Ah=me?FS61Z`7>HM)h`m
z1g}h6D)i$;tIlR+<pi6XCK<)EXJ2tKbnlDa4EHp$(q!~cvC_fYcH@lB*kD0N+}PN7
z*K#^ucLZnsHe8cKl)!e`AMT_NSZ0#@Xy^lLyzYwnc64^SBhs2`ETJPzmRtg_nXK<o
zrGS8~r86nVo{f9TqsL$q@R<eZrI-Ds6`Tq|ZaB^2t|@ub7MBK2h;MRL&t{m|M?XgV
zI?&Gde(G<uQkH<ANl-6PgSDe7;xRIs9f{LbRME2iHiD9!33fA;zMF_7lCoFhY>)67
zh&o1~p8a*=ecMP5^>3mUTll)fLNO0b33n$Z!(!gdx7@SVKzL4!4I3pD*c&gaD>F3^
zr+U2X`~^E{!CiVnIy(9|f_4Yo^j%E3vRj8k1N@>_M>&nNQu7@b$Nw)HjR29W^llsP
ziqSw!OyBJ42gkPf%cT_W^cAtW>uKmfRy%ptJtu07_AZ!0vxOqAQmt(ib<EVTg=v`}
zC@tjN!)ail<Y#2;1*zm$vQ@m>Z|oGf>m%Yz4u7XPU$;c7P*O2S0^WqG94<Ct^hNa?
z{4WekI0^QW5_fH+xZE;Zf_x8|^II`<=PdS~Gi+#Yc_Uv_#|nV9K_LP0%Jt!}G9FF@
z)@e1BKlEi8VTInoY!6SoJ7+8M0$oSnL}-FF=raNl&9&8z;s>%;(nC1B=UiUZ2zVfm
zGrzofw6ujplC{CsT+N-=>%Ef%ldr5*D)L>5TrsmHM9_N*eA3XWCm)5c<43p1E~u^X
z2d+@rO0%xCF+#>v^8_?LGdB#g?qIk0muvhNg>r|F1E*)T%%P@7T*7|ruVDpFS1^x2
zixo4L6ZK}+BZA_&kZLtyA*%Is(M&vVrc8<J_di40(INAq8=m?!vKQhfg(d8Q{a0?b
z!k}UedN!|v?q3M~Q5m3`N;z)pikDq{p5~R^y|-)4$34`_8d%qs^iPYup`1DOfenwt
z=WR{G2UEl!g2jTl-|Q*lr|{2Xw^YQ{?fv*rlS)QR>LCn{lkSYM(SgUv)^?3aJsVag
z3beo%!I`-p5)<(kG~(5AsU!X1>lM%C1TTD@copT+ZGOB;QCd0t&evOn8;6>nH{Zjn
zbN=*Sf0kEP1|DvUDIacWH}taDIS@in?uT+d3*R6*gj8o!zCdTNnQKs~(Q`Uo%Q_0}
z!=eo6Nt}g^xrROP*e25{Nt=LA9)ZJ29_9zMp<8hlRtbC`9lfVamV;u~2u#){2rgc4
z8Fjt+$iP7Q&8&B(M8u>^nlQI<LDi?7V_GS(T%ge-|2w%5IJ{KBN(0ippK;#(PS?5a
z`6>HiX5hCi6BBETJs<?mD?dffUE<NhFtnOhL!KbaspUh;Uqpw?S@jq9C!)Wj^zt^Z
z8z5h9YoF^e%p)6<A6;(((e|C2TY1-XSoCKrnUR8Rr}6DiA+1L9p@5*^*1m;8B&nEB
z{i({L(^d_i=_<vZ7JP_=U18X~Cv%Tzx?oo^60-0D&4vBtn>aXkDf=%3=5ELoe_y`B
zt=Wy`)-^N@di%44v}I#rpc-`RTzCFZQC!#Fh)&~bLCy019yyuj<xUwrPz>GA?ClMy
zbuy&rN-GAdr7^Bf<0MKd0BI7DM<T+J$TyOq5tO~_88b^8FcH!yVi4F=4#SP^PK`;Z
zlp(IojN3{W2>Ryk^Y)t0%AK+^rsTf6HGx1=OL;5CrNUx*`rg>^CuqjRn=&sO*Qebp
zM=6y5Da31g#Iuj=TZzN26x$?~nekQ+RtA5%B}TeVJax8E5ZgVf#5k$rgU8Gilh9Tw
zC}gMbB3oi|!Dswdr(eMC#U%go3>Q+bUfCk(25g37?Ilw1|AwDDzx(NAfLwcQ6`bVH
z^0T;$<KL5qOLvCkJ>6NiHk#2WoCiuG4K4Dj4qZ&1p!{n#hiO8WN_<uUmIhy0vE@do
za9EXSUccfM(_%C#*M8@qDF5ln2C%4Mp~QZ6J3;&#uC6U{ch|iP?;rHk(%l3S{E*?b
zJtGPRmdy_{GfM6ZFrM*bg*P*TGfiEXgnOmxXmqXTi>>vMV^>#oc{J$1@KN<5k-pf|
zNEoAUdbwkwkaPl~3LT8Tu<sD4p=oogNJ|}6ht_@{a0={Vh}d7QyCZAd&asQsjC>39
zWi>S=`yjTleXt6%slVYkmDmX^=lo3nxvwzMrk}VqK%8x)q=1TRT$|I1(VB$5Z+F7a
z3k&wsDK*dfUs4>A!ugKe+4$d=1BCvBM5=1}V=ATdk(}=?uW*sbgJ-z3$LSm1ywCs=
zFJFQp0bcEDYb}ADKdmkG6rt8ts135nahejRg#<^{ULjtFSF1zhI1zCPe$e8@(#A(O
zGJhjp^I^8oxVXnv3v!(~*-i>mPoI@N(@Kc!2al?Ut&b)lhffTy-xvVh2k(mD5lIsx
zv$@h4&YH&G{iDbc+t}Mbg97P1BAki{v;wI~Ck9jTq0z401%&*r?)eP@pY%Tc1>(CA
zaqxa(scMGfT^UIAo;qp0&iU)RpfiVn*;iws`~?dUTciDzG@7)lq6>@e^|+E#?e<Nn
z9oNcP)e#xHSPvt`2ibANRm|N#h6IlkJK*i@+~HydMm5jN<OD5qTCl6&!`G#{+UIfV
zGyViv>NK?)6AmjEG<{EB#Ca>^EPo@x_^F0J{LBy<Q#5I3=mWHCVT7*08Jm;w=O?MV
zpf+=N36#@d(Z1K(y$QOKl32=JD<}*_{hlnnugzJWb5w5pE$+eoq^P28N;T<k?}!w8
zJ37}d=eM;@oY|GW<{xh^=q%jt+yZ_#iRbV7JRezA{Lys}@MLD-X9%_K4BCL!1(R&A
zS{Tgc?tDR#MlINZtm4dwipTC(rU+p_v`x{fX^StPA@x-6{dWZZFv-xhq@ZTKudovh
z!mC#PfEso~3zl&|r{*{N`>fWdGE^bn4+-Xy^DA5z{7yo*w)5R*$8*qAU92R=weTyv
z19*J%q~f5bC4P$y|E*__A=?beH3;=C<2&`OHi=5z-y47al{LfJ91)2Sub#CTl6-Mr
zHkxr%ZAh<btUT6B5EX8+(ByOkE7AQ@=k~(ikc`CJ=VMuUlIG<NpKg~Ofq9>1l>tLP
zi@|x{)YgexEhA$A9$yhR1?cXleGUgCu%j=pVWSGMf0QjGXyK*i$xaLwhf{Ib(S#gL
zulu~5!1}!GkoMB5MV)G#5!-@i#t@{NvPG?W7uJ5U9NcU6zv%A<l?EHgXy+jVdZpng
zh0Eayg||iomR14}*`$23FA;VW#YkXnJo}B&U!FX6jCa&~oHPGaSUrWZ*;sW+#l)p+
zQ8|>{OuiZn*^iN|RVBm2yW-aKx2>IuB}Q!%=B%l2v^;*f)?Hl0L0dXo_iA<z1bH_}
zJv)KQpbcqq=V)XIHmi_D6zY|mc&$r-80fH6;(C!_F?JWJKSbOlg%)*{Yz4O};d=%w
z12Kfr;NmTpV3taz2{u0qGFXsz-&8pqg}0|+Y!_|vCjSR)bwu3}#_rmFhUG?K{Kw!{
zQ#V<LvT-=G-AvH^@Fjii+x+R*U@tWZzK>S=4Z-IUIKsRHb2PW2j$f${n6*JWv-I6%
zlb@4<9V#S5llb!N%Db-7Xq{!@=?j!gon!Zt5c^;7V^W28$;%#H3740k`)EQan!9i_
zHvX`E_hB7Wg#V$DFF7)SSWvv)9VU)jWAFSyHo}F?q7p_~93(3T=q`$&PJXe61#HWV
z^Y&lx(w_A{XfI~jZy7-W%jY%k-;$+9ebAQZ)ZK#FI(`O9qc%VA>?9O-28vZJcKj&a
zjdQiev%GAL^0fFYCVhi*mv5IsyF)LPlutf(QWH|UtU?+JZ?7j8LW*!be2>mHFK=_n
z0uX34hSg8Ia}12uHX=;&lBR$8)p%hCjVdfnwBZO_T3mG!LmQwODELloIOQMmOJ3G%
z`trQ@@`qqtwoZ6d7b%A(k`=Pm9ASn+bI6SNd-V+ONp+miCy$7+mN#m#Vuh09?q8kx
zX%Kd4u{vFKqDkMRgw1jqe61`}np$LToF5+gF$iEl`|**FvN;8bq|Kjo4-uRFw>^ar
zHS}6^5g8N5*8D*e{QLcZU?{;+L<J!?+eI3w@`UbY>#LIxm|&82J}7*_%H?<ypR)Ky
zvJ3ond9oiQ6zDs{J&GE`lKIgy34^-|dwaZ;VYy2X0XHFi@@#WtmdK>&cvO3R_;Ueq
z*&5YB^=@d(#0J1*c;d5&OEE~>RtNx(cN9^Jifp^Ud*N2Eo#S4>qW`jkPPFNQIOI;t
zDOiH=gz~4*`CNE;@e>YLRA2(J?)smrk+$>^pobiqAU(XVSP;LZEq+|`=;(l`r6rw>
ztu1=XvDWZJP*P3#Ua!FzV(_%EIs-f#+YC*->IaiD1&eY`MQRVMyM*Cj+xaW1e$6`4
zTJhNj4<m!x@V5bOvVQ1%&;#ZC7IyT8Em_jZqFkv8Wm^tbF^m3C)oy91aQ4i$hYgp?
z2n)3YA@wW{Ll{?{!K;CO!<ThzjEEnc1_F@)VOpwU-60N^w<1Eh&<QQ~k`m|qsXzjT
z7fYGU>d+(Uh9ASK)Ok0!63ue-3C7)_fKMcZpWcPekHDsImI}S9kbYlpyNa&-q}bUH
zHKG+~l<*TTmQM8Rcyi%`+Q?ji#aL2hK+1`9bm2{y+Hj04mV7W&=^tBT?qDLh`kB{d
zH*=Xdt_7u0F6qABT|iFZ8Kt{sXf0<cfQZQUYRv!%IqTVSpXSA}d|Jc00%}I;4+-ZG
z!52=rTi()A{I<Qc+EhOB@$DA!dmpN!Z=|jYh9ZR(gQdv!IRynDxwyD~`Z2+{mk|8m
zSNrs;J)CP5`YiyOMhYg+Ab@|J=#QZtO)!L{2_fb9Il{!x{jR<5mn0HMhE)$_dTl%b
zj+m;vT)vt(xHb0m<m1+!`4gTFI)TDpdL2-m21CP)jyP&)*9F>g6Owo(DA4P*ndnE$
z9RE0xV8rMRW<?<kkFd{YJAx1)u*ftz*{S5@x9d<uNmZhW+xA%RE|-ykv}?(y)zB%4
zb6^9d6>(X~#FPjfCZAdoVy?KlLVf98ka!^#vs!O%UMAy-oBPR_1`o_}WJ8d+<b*gc
zoBI(Ok4sa}gR<z+Ru`>+U|Y|uO3}M969m_4Ycm_~&erhLAQT352F=!lA^3hg{-`pE
z0Ol!SL^xd4<+jJwk$Y+PBC)aMGlKY^PwOPB5p8)$l)m{WIG;#nRN2^>tkka{L6V1-
zg1(J!zlN2EE3?83PpFWELh3$5sfMuire<bqqbQLfE<r2knwEKYdT~xBQ~{GD=Bd}v
zB~fNyz=-2_egV~{%e*v4zPMykqLEvjCNY_YdE|^I#Sl9`X2rFN!JADq^s$HXYv^uA
zyT>OfrHdHcqG~DG31s9|CnJjWHcw=k!?2m$S&aQE3sBkJ<d9Xy3uJg|3wsV^yWxlv
zU#Q70Ec|3L_|a&ZO!(o6r+cw6VY8>KLS<W43Tg+l%5bRDbnhS~Z9dn@{rKmF#>Bs_
zZ0E}{z;BIQetCqLzUBgp)4@gz_R;t#vGYhUhc-i?wP(EDjaxNhr<c7TyDj<wnr``h
zi!SjS8qzQ^{W%b7;#}UPylU_X(|&h7%%%OywX>e^IdH=j1sk`}c~vke3DIUXF;qdv
z#dWkmg)Kzlws$(W0}XBar-(4^&7FHs`$}Lgup~A~FH&^`f4No|Kc%WZYg&-18#}v`
z0~4bb-oA1*yhB<A>Uyo&H-3)F+=K;eb4LBTwUKeg`gijUo)jBiNtiYW^;)_M4CP_<
zC|FXZwhgIeGQ#BgIw!(pg#G&<t%mdO;Yg#7kecB`UkBOmSOTjz9(QCPP#O9I3buF`
zSDm=}(q|i$1yj5W+>_`y@egPOdx%3MjjZL5Foi0maR~<D1=m`TLC(*F;?wv<u0xcC
z(A+nV>!h#K7WJC#FDx0Qr8QMFMD(5F!Tg)KR#<809dt?IYz{W8urWv>{;9OByelX6
zUXVQXd6-W0<k%Vlo+9(x5^_{Z9#GUNZ6VA#Uw5fr>H$5w;+KQpt}mCqd0*{5>pY^U
zo7n#G0EP3bMFCHNQR{b9dj;au;~b`uKs`D5>6PFUhzB4{(@BRN4V?oK)?BV@c$F%5
z(9lp~WeR^Z#Xw6beG<)n(|2%f0*$vT9_gzAqv!Wdc|7($ppeQ2mu)(7_Jcs9+7Di3
zr(vJX6%dDdTl#>NKyaK{7x*NK;?-G=my8|+;TBesHy0C;)&6wKibSve-H5J;Q+||A
zRQ`K~e;Jwby9Aj_sPMWEv5~UUnZCa6kMhzLnPq<x?{~hCmsQj9d0ez(0Qw~6t|u$f
zYAKO&CAk{yz^S`XvKtNFA!nRS`a%yHgG=?JKU|7fDbVO36_vb|ejUA#c&W%)0xD-p
zVSKq7dr?G=PYJ^7=2eT#bNS5&I_Z}p`Mc|&9eh)->vOFY`F3F^$Vcg=g4avw-CJ&s
z`iTS_QxXUDufAof?A@1Z361Co((|6mZ*PCXk>=WK0fCGT`W+IJznR?4W&<_Fuw?gA
z6K@LS3uw(w-WwsM!{sqF8ai=!7P%dK_)*xljKR1bAB=1ZBJUDnEKzodcsi!z!Emq+
zQCc6{p5ZueWcn(csPDRCmO}~8AHq)Y1$f970~1MfxwVTgU?nfIN2X$hh$?qp-ns@=
zW}0PAcc}cZUP46kryy=~qXv5gJDln>VeW2FC$RbCusHpdyV{O-{Y<L@xF)7gg_xp~
zP@#K5LF$gR1j7?eV@8u~kZ~+^EI|qeyMq++KQ=TwCX+keg9#;!m4^<H??85AD{<K*
zS7wdT#h46ldKh*7CicxP|9^;@EvF@n-wel!KH97lv>_?cW1C!}34bC+4-EjAKRol3
zvrfaHPDTBvgLsxM!;}6a^LY|%?8Us;$&b|2p&RSP3x}lttU%jB?)24h6%GMTHP(Su
z^1UhWn|ovi8^9L?)19A!2^)zb)}Okm`S4}~8S%y?B}Z^bGaGJ&m^6<LoM#Y>%9h9a
z(c!-JRK;qgiYhC-c<tBgXq$mfB3L@RL8N}685u-DAtA;Szc}$&4Mp-_xowsMxVL;T
zzg6o8S68!a`oH_ir?QH^w`-IS{M{eB`qQ+P*W8R32!}fO&A=DNz`($lR7pumx6N&0
zyP4rzRX;?<GHUAl2SxoRdPrG;>aIc!gI_J^v!3D^kZ!-1t1|upTMT|xGVyb!%o!c|
zz-cd?rhC?~L~hg{AltbV=Q9e@brsUuBmz@?6~F#4faTvS?G_aTt0^5-Em)CbggIQ^
zn6=k@Pv{h;Yb>}ainNxj9?QJX@4wwcA*ItdUyq`2Q<UhB{^l*$N|*GN%~V_X)2~(3
zjwjFjbmwm}R`x!?ve<0(pu~qSL>oRBL+)9@;YKO*sixWUc4{Utsf4}1mJ>L6i$h&O
z!31)D*x4?CY>4gn?&cP3-1!b|o0EE`i7cCM+kP+C3nV`Gcm5&7rKf4Kca}j9Tc*|`
z%f^tvL20d9Ql+9n>35y(zV&}~MSoTsLPJBli?jX0kB%&Kn;oD8y>8HM{wFS~g(za=
ze|<stN4BrGoQsW(4cP2(mE;$G*oLmq?;sF<y}@j6Z@)Z9x2NFaBRHJO1_cKPziHZc
zy>j6&YUaGRIh*I2^n=&w%y+A|ZC<bwVIlJYkG3_Fm&?sm&QekUQ?mcsTY0hbGLTMf
z`Q4oH?j66}{u=3iFjOlLo&5`dSqKG>jRS-7g0x_6A3JIHq=hkKJw4Lbe=wJ|ZP{he
zSv#qjG6kqiK9s5j9SlL#dUHGcYUt?b5KJH}^sbvSE}uWsJu!hiCG^bLqT}-aFJ)qa
zK$ncn%&T4`mhAytgO7m3#Ki8N9;nmB%DxJ%-+&{x5*!x&$bkr4jupC;G4hlpgm76o
zIq<>3pnHkc^A&N~uiD<-1wOTg8zi@(;<59-NfSDc>$c1%H;6yBxq)Pt;w;MVBQ}fD
zIi=Qd!$J{!w>Q>^-8T5dsTPm_VlBv;8jOfLok^a(AM#8N=tCZ%ncuwxU^pYU%XXaQ
z(C)Qm)kjDONgHjDOrs2v%>{PP&SF4B65K@!=|%Sb4`7h8u5P44Iv2tqM4a?bd;uFh
z4RMZI$6cumUT4_j<Kv^1-?SK*nCLh-MHd`4%d8N|8u<5=5Oj`nNm+S$t{Oe~{5%?t
z!~-xT{4P*1Kk(6TAROD{w6f{rp9J?QX>2esiD4YZR$Z2Y8=GA18&?~!!_!%{7IBr(
zy(F}=!m}jO5gyN3VrIv6Fym`tg2?4u+_#yA-_)>7Z@LBsKr`~QAs=W!i{HE^C6P*A
zV_s>7+TV!a(FF-!uE@z$W!^kI;xe86P>hHHcv8ZjMjVvrc*k(kG3Tu1*lm!m)F|EH
zKoA2@<1H479ZyKvU#r!y+yh&?Ts~?F+WymVV`s5;#b{2G@t%JASuToV%<_j{0!^^C
zi<wN9_gN{9U|k%XsmIpyFhbAX+`-UGEn<2TCsnqHrIid?lm63N;<8<xi@I0?QBkOQ
zD^4OJqED;DL`1Q_e#u6UjEs;!AMWiPWmnr;SD*p}?$@1<)|yya-Ts6xFKaUDwPLNT
ztUNsI#*BETFzbaw^m<3{RT~hcz<Cg7di2hQ^q|p<pm@zmc3=?~XbyJ9;tNmh^%uo6
zfl7B9U7t)=t4XvQV&V@mBHttwPa;GU`mSD9VITor>>!v>X5Amfdy!OfalmFS3vd`s
z$5Jk}8f^0b(~_4^_(?q}>V<E=p5c78?d61Dnw*?GcEr?UCycfR;<>5mNbV`)6B8qD
zD2Iy6IN3jO%|G?skoQ0|46M$tDqMd0SGfN^5-J>;nxkm0_8(!Dj^VZ(>>onB`}_k?
zzjv`?%LXHQrUlFJ`k{l~!=zuL=ca4EM<1qUEc+gU3AZDWrS*r>9$Yebe9)i$mLq0+
zomA5YTg0{Jb59m438^p;AmT6NRp<Xl0cQ5T>i_R}Z_jkP*blyj9OA3MQnhBUTY9fs
z$N;mr54?_Z>XzNV;|<!5V|%S(J}CG%$QCbSz+S#SH9C8|Wd-Ox&>H5TN{vTKI3x;Z
zc=H*~pM8$>GlYk@u`J?fY*ykAOnxPkizmv@lMI|!_zs_OI@zHTitYn7%7djKx<wh%
zAk@DDm@G;G?HWq%XBa590%3c*$3<KzeKHWm;Qy6e>5CW6Sk$;*=rigz#}Z-U<A-&4
z-xFAr7#ka-;o~C!F8}`hnV(O2cfL{Xo&$*pjxP_60=M(3QL9c6T~z3R@!!c_9dc|-
zGEAffxbGN7>9S0b*YshUb=nj!*rnt*@Y*W*A~KtyKyLM=Xg(4x?&x?+;Qn}tCsZij
z5XYK$BRT;(f};R(oJFjr22<fzG=xJmbZ1~I87N<J+0%tPi-`1xv~-BcQ20i(P*Hh~
zfpfL+^{T3MA<bf<S5yfn5HmuylJ2%u`E<ObmVB%Ot(rH@A$}UsQuL@V^qQ=&II%rC
zHSqj%0o%mfBPAV=e*rVC25vDk9<Mj+lQgJ@f0@`<>SON3@TSMhD{t&KI)_~+=J@CW
z<E;znID+i&4m?ruwK6QFa}@O&{nn+}5Xn+UGM1Wxm@&!|pJ92hj6WH0D8D|i*N%$Q
zgnvzYCt)iqpj?{U)Evin<gDQ{Gb2cielP(1hWCXY{>{kF;np$eTMh$+jw_ZT(3nGX
zd{|BSCPI&5qbTAjil5-SM-Xc*n?ZOblt<;BQw6=_t2n_xVL+J&(e6<w)xG_ZB5A_5
zxQgA1r<S|C>_g2r=<<VL2!PP*jjEcOn&D=<Cm^83`LK6j00sgKJ^~oE>*4!Cko(Hi
z%UK<FBwntDNO?T}QguEa5CU3JS0Mp^cf)-Pf;y^&Y=8d#{d?0gA|j&iYIlguxF6o-
zd>!A>(b41W@$hOp5H(LOg_+5BlqfpOmQc~~X}t$ekoS|Yx_Rm<(WIV?qdwi+s}0=S
zt9(k4I7IK-9VCS3WdHF4h0pfl82)C@dFs==W{Elhmf2SSK#)tnolr2eKT&YruTyvJ
zz#o0DSF6&$jc5`K4~1zjR|wxvvQ<mJgl;&K)bc0X*ea6T;qext_QF2)_6<S3hCJrK
zUjhU=e11(TcWMU|?4~$6IDb%4)Z^^IcO;ml4-*uAe{uFTo`UG={-tq<3jzYbeW1R%
zIZQ~(o4entF@oOo*hPk1f-3Y7Ab<8a!Mz0$ZQ>~_D?j`lV*wu?!T}(9<nB2o;V6hG
zaCqOz!_yO-3nJ--tbD4gN<*07MOYeK%eeNXPg;EQSd2`%NK#4e=uAl{76QS}q%gY4
zF+P3L2Vd@-oUlhbk(0@;!9k9cEVct?&N5O@X;RmFe3N6WlSco%Y>guCs6rJsE)t!P
zojj+=hfBC#AyHLIcQuv6!NnL(L73}bT+X}%CzD@Kszmcu=vb4pTC7KVzu=u7Ttq7W
zhRvM{C2M}<@2hjB^`$EehYXSVvx9>KzlJ{EqSdh+Vu149UL$27x)<JGjfqkLtHIQo
z?LPE*7ZAR3?%;bz4apFyzF}8e!vTXfqyaR2L?#i9AXbgW?c&}TSbxAQ6Qv!P_oAY!
zI4btC>C97ej72|I7S&D|%O?4u#m~kaI^O+}?T%8FZk|EV+2*;fjlovz-*imjeiuc3
z_tlD+9^i5OUSzV@4-~kX=n8E!ZI&A#rgwl~2Ib|&NEG!xUOp`y!=uO_csxR%{9e8C
z%JYf)IStBWTQGQ+{yGYsQ=q(IgCGIV8HDJ509<ix=%p1FMxkx08gBg+b4dCEYsLvP
zYrmAsE|Tkg-S)_1*k9iXPkaXFP70^FGS54@kc6nKG$lTJHMZP!g~gm%Ne7rDF2f1@
zZ~Zy3{)~oo&?}%;C_z$&$j+T~X<SZ2#6rJ9yASM1T~|v?fN<Nx8$#>s>`qc`hsnu0
zyGPb#D?Ag2KPI~l{jP894tX$Z)&NG9Uc6JCtxe+`n3gjc1pS&+7-;pII4xl3m#uh(
zp9o8y#lnv}`>jB|VbhC`M6efu&H<ZuPbSRcc^fd^`-vhBo*)W`8m6$>hYOn4EqkD|
zYX_*ICR&Xh%r=m$m07DXJSLF|SK3w9f&wdjKgd8j@pE4Or|oGBIAZ@D@wv`{kT=g1
zN97X<e(3N&)~AywHyoji^;6jb0oHyBc(&z~r%@ON<VFKwblii<^7Q3))+0w1BoD4A
zxG+jS4p+34n!2K>ucJVkRrnB!tpnps3}l5GIbWQ7pVvH(xcgD>{a*-Gst=K#mzsk4
z)gWE3pk$Yl69U)QvrI_i;!Wm;aDh<2V`I7{LcL=HmAA@Zv}dIc(p)hoV$N!vZJr^X
z&h@$qO#A1`SWeiR`VSl!DAS&}X{;2-G!hgZPmnhkgcfvn|1<p?x2AU5sliYgB5z$4
z&h}X?<keB5AJeVCnq0W(LlktMAUuY?S_w#BhI4iCa;zaeAK6c+25aR1Fm={ZQFh<k
zA3(Z0C8fJlT2Q({8iwxf5NQMv1*Jr~B&EAcx)G3Wq@?>j<MUm=_5Q&^U9+5-`#$$R
z`&|3lpH143eERFC^WoeP$j?9*%;JB_f>5phGS3_%eGEA?Ka9>)Qq{wIw|MrrP}`1R
zu|67|aT2#__X(D>7^=48c?i~q+ONx<SZyF2BY)wj|NQwKv2}3x-w8Vr!{L|&ENvOK
zTs+wqm%Z&kbw+m!35*}PkzTS(B13G*t4~Y}U%%CKvDtpjRJ^~0znIm?54%YEk$YM9
zRqFIrgkmOTcy>8IQ6gg|)U@%*SoC#YOx@*BuxRMMs7`2Pk-~3^C{9QVO&%-)9gW%F
z(zVH7JdLj*`ihGMcVel$ODDc~#`YE@RQE;B9}L_V+>0WQ5yCzA2Kf1{?&qrQrpR6v
z-UKC<{X}6T%zgMt(n6546|HV>nOGL1Za@8}kwtEM*Xv9<BV>d`m<~Qmy=7%@JxXQ9
zvx#bxJ_-0u5m1peDvpkPHmr#D`s@hf?#P;;w<J&Lb^7)Ny8Izr4jN3xhWzAsMNiU#
zgu=>~8$&z$V*NO*0`XtN%gxR3j*-&!A<<NqBOCty1FCE~-jmYd6e+W4t|F@}z*XE?
z!x|y_hc?@R7||Ae*XOtIZpwTmizUCgw`*kaFz9N_zXgBDj~mb0<L;o^7f*e6#j9Jn
z@jDpe5?Nd+aHy7LB&3B|`NuqZb@IlnJ=ydstUgEaas+2qh#L(A3sOX(;5#0yd-C|O
z`|a@4#mc~Z&q8CPQ|bs6l<;Q#Xu{Lho|HMo&Q`W$AQTJLg8Z_p?}^z8HPzLHo3yUK
zJ@7s2<!R7KloJq-EK4qCp$p-C!XVUMN$>gGG?dk7uQ=)=<QP|Ne_fxd9rZwyQBlhy
z?~8~lzv(j1os>5{_i&2q@OT~7%I;A?6`{NznHiPg;&Fr|NF^WZ&xJ-7htzWod%W@c
zyuWsY1h1(Z8`?_mJAXSI@zSd?qiGcVMe}?U$vFL5xL9F+R#;6-o23FeX!~c*O@Dcd
zY9khx4jy-6_9;i%1&II)PM18g)a}gkLZ<I>y-5MjdJCXO7ghBc>T_2eN9HgA?ihAK
zVMjNC-lxSA)c$7&2k)l`k7R}tw3^R<2>>bQCHZoebkkxMt#=GrKo58--X>gL$XxX=
z9b>pe)EGUl^ar=^i<`@q3(JMGP{f)0>`}lH(NY#!psESm&2r#}m)%#}3kX*aEsl+h
zh4xWNKy*ZWGt)Zl&#C8K+kQMQ6%}<RHER5RXMR|}jl4*!IN_V-+o=t<?n70n#SSf|
zn#BJ5!}+W=@M)(+v`(>x!WN~k-X^lJJ#pMr$U2opo&HW5z6T<c<QaZ~a6y<Oo?Mp5
zE)M^Xj!rfYXT-=iM8%pTB%99`8<@VjaoI_T1udP^HhLY!+9E7>Oyf#h8z}`)R*5uh
zkg3_fC}BQOt8rvZ@+eH~ejzLTBKEBpl!9I-OT^uY1wJQi&yiX_QH!Bx#kC`ff*Agh
z3){oJdiq_iHVZ%6k9P@vH)QV*l{zbbzf#l2B^E!|{}D4=q(-@^Hto;8e0QNPD;JsB
zs1YK#9T4K)$GPl>g*MTUlg>!@*Md9pSJV+1i#)-}&CC(;;sPOE#5LWsIZTcbBU2}i
zY0*K;&FOl-QV1h{IgQn_u*G(wq{fTp(V}Id?tRzqi(0TJ<dSV0OWObxIWYUs7JxhL
zU9EwTRu|)w_36vQzTh^>o;2&V@LB+I5!I56bS*5b6mK!&4zM!`!#WFjr|YdZh5zac
zq3)X99%j18hnT>}3`r?3*YCnw?+-7oc9vgMcvtk~<tjCc9YDds*N4u_G_ttto6|k4
zdH}pNvS+6e@!r@Tl~r%+tsIjS2;JNjTp#W{DTD*yTq}vQ#$6)!%0Qj_|Nn51<JqiP
zQzx^CV?hbxc>tXO!ur$sEW4N1qKX*b=7|v^klRJa5MdGl+l;Ut5Fmfe{!IvA!;BR8
z+WAXg%7<4}Yy1+ky^7UZnvG~Ze$;z?8@q0D7RS4=AAYaq4AZl(f~EzBVgn5r$U}`v
zCMH-6l}Gyq@OS5$wkiI)DSGyS{NolRBLDZP7$}N&v9WvK68El89z>q}e)tse-z9^9
zjUq=*an?IoB0^;^v>k5A#p3{t*ZsG3p<HRl@SR33y(O)aH#kPANNW2IM@~N#(gJ-%
zgROxC2y#f-#nSI*sjkq9qIEr0-6HpD!H#oUthF;gjYcPrm=zo*=y&1qrnJ=ZYgLIB
z9b*B>_J~p6YACVGTDN83jnMyULyTC;k&AC%{wezN%qEAT*o_CSu;N>~dSMwuIwQOG
zX}rQkk%i*LFTZS$;!@wI@FK72LCr-3H8$HW;>P2Vz7-RZFUoJ7HPmYl^HrHG=peG!
zRAI4yDyfm^6sGodr*Ds`hB-@Q6QXX$W+h+b$oP9ofgXIzx8s^OnX0+iVgY{b#Z}=_
za>ub}|LP16!v(JFrN(eOXlrH7sk2=@O`_uSXYhX-J>~WWSba7#w2`7YUKM)g&%DuR
z)rpK5CxsGbPOf>%Z4aQ}3crq5Ws#OGM3%$&6TV_R;&Nz)o{}Q_s894ohlZV(ic!T#
zYA8#KfFNnVZzgD~FmXC64w$UdU<>>P>;b)>x7-UU{Vn11B}53EA6n7VRHimJ{_W@x
zu;VYqv#-|<X~Yzcw{Y87K<@mSI$I-^jX3D@$b5hGfbRB?90QfrxiSlzJ?jzO@7%Ua
zYGT(TfjH5!R|h$cdXK9*S?mOhSv;`iczHNOA}R#IrODXYUBdMGx*sFSO2D$%&nl(y
z6O%$LG3HaWZiCG949GV^gBG)jEAy@?Sc<e_gGZY~(+IUm?q}+5yg)({i3VP=em_US
zf)lwvJ%|b_(^4+MoI?Iyp}xv+Ho#0hkw#em(G8*C;#=QXQQ+$20%nrsw4R7NKgZXB
z%yL#V@Wq;B@*GVw^e|)*{mkYhO+Yaz1nN!RZ_(&EVN>1TKNRw%fLHa;z^Vs<77M1=
zGvoG+AUKl6K?HeDL*ANK;21XClgnnP^mF3Tak2-GuJ2Or5jW%*%R|a0m$MV;R_gmS
z?WTo@aY|)l83RqhaOOCq5@bLAJVwh~bH9<s)gN|d`|vM}!pKQW;k*k|+m%W}<euGW
zGtnh>X(YG^4|jK(@N1=Mu-%1IC!lOkf5=u{`@%LZcVF+gbB%EJlu%1zkC+;QbG?w6
z_xB#xkxaqlyH%CE;;vs$w}{%dJbfkIY>1FBCiiEXoSVRFbqt1w!}z>U5$hcX%LtH|
zyQr|TDSP=0PAK{5jk;rZqgvALKutEDCf+Qk>k*%)*xr1mH_99!JA7%2nq!{Oxb)Io
zvqCeMk8akbh!v$J$j$ufGd|!>=Y?G4PPZ^;JQy(`PF@x6KvzbL>ng@xIYOq`#W`=@
zK=ye5>CNNAtFfp0Y`s;3`KEU*_bwcVc!`$hXWEIwTIO1IU*ldQ*nO!=fS>7H$DM`S
z_y154?#C&qe3oNOx5rm_$!Cdn@;PCFM8Npd7wAFOr}nH*YOKZK2>Nin3%H;gR8j49
zY5R$$?#k98V$c#6(8aoTfz^mCpw^rYoS$&+O%q|N4=)UEkenRfx`+w!S>5Gks155{
zg|t7kt(#3wlbLnFD}mnhryVe=0f)xN=#UNb)ro;;ozIoS<>naZrF}KbOZ1gd2BXz7
zQn@#f386c&c2EprGErm2@XNxAr-Ut;Uh~oHmJ>ug7%wT}h0mm(s`^L{o|$Xq6Vq*a
zAi;MouF@mN=*i@R9ny?@rh;+3d1GIy)SWd<y$DB$aLY9CH&bPKa-(UX(tIa_2*%6s
zmxaV%^;qq&*51x&aO2T_rp;dJ(%OltR92j$rR9f|xPNe-5f!H-B}+t=7!1~HKwYPz
zjFHz>>dW4_^t@;J9_FrQ?li-nS*E#n12tmhv0!n)17-qT^G+*TGNmOksc@vCOU~b_
zLde3OW7_S=B;@Sd|B*G?t^c*U);XlUI#_WLlC-o14^9K<L-f{L&`+JGP!R>ugF=OT
zMPHw?%xFaBTgY=WD2>whj#U@^FI11t_`pC&8R(u0!)xIGV@lw*-YpYF$<j8vjxxb8
zCmuc{6b)}aX1ig0n;C_5OQXWNrLD~Qr(%n+Eo9RY$4ruO{g|0?-|6B(dqDR<vCFeO
zMH&xn4+VH>YssB*reQqEWkM$<7DTU7!hJnCOdMh4?}rf+18UJ6`|}^yIOrsrNPwHS
z!r`8SY45pwK^;!5x<o><<}<F#oSD55PyL}rKJ%|dXNa^j&tgjE3HD}u)@Td(+;XiV
zQ$wdrxbt;QORnYj6XrAw`21NAb-t1}=r}-`ZwpT|XC&9Bo<b_t+nx-iN)X6Ul7`5b
zI1#_MoY}9*^1$1m=wxV&OAS>nP_UbSX_Vvw@}&@)buxg0(;US9?j_BF3mw?V$`=Ul
z+C9GeI}BGiO(u5L?E-_nAj8;jwlWlpK`@t^%TfE%e=jQ}uzU8k5lwK^X=iJq2L>Y$
z`bUo;Sw0lTLQf$jiX}A#ozdx7qk>dN@DQ<ww%1^JPtL58fxeXJq_K~_g;5i{v5hQ<
zMFV(9fk|P;3NP}m3#!#iHf{9W(bWBl<XE75-cGDrADM<r;Ie-veb`hb865g>j*s%R
z=c0W5#NmuujE9fnu|yaR!h|A#KX0zIOZnqjybD`tsQHv4xBW7Sr){pW!dzU#P%N%+
zPrq=iFr_c8?6{5HS5kLP^*rl-3h6i-y717r0p*@#=jaKv1Q8}WH%;}MHou-g&VtQs
zt~Lw=#xvYjFURK+#Cd{rgDqTpi~V=@v3b@}m(<q{{^*WclaASP-|R6#*&T@Azv}sM
zzm~Fd1vyl}U?w7Bk7e<pLyH)il-u4bZe+mQ0M_Wn?Kf<hA}#2Hp|NUg7dQXo9T{?-
zbU5i~94`!*@gGVi3gAsL?zhdBr^#^dn*rV=a&lF;@|LZ!$tygvtqQh|)nS;JAz3n;
zsAnWrvT3nn+5=Ik!CFo%#h<B?(iEg)wRyLsvi~ZAvn3EVT$oajcLi>K)Ts+sFtI;b
z(DTB?Nh6XUOh$+-Ig%eTOVEagTx|^pb9-swWPFvNFqnN%m}5(STQe+F3QAK-bF#Lq
zN_mRV8FuwG^qCtwi|4JPqd-8oG#l1^F>?tm-Rvv;nw9AxsMYd9XBg{y&~Vhe*OWEA
zXS4HT9ccpo?aB%E)=C_5>y#%eE8~`_7`EMk0Ufxkq|l+!7i|Tk_SXsetgEX)mC*JV
z>l~VSa|A=>B!b2$6^d3A;&>+%H&?D2VG5N<hHZTsC&OX+Ia7(3d3WDG(S?~1g6nFf
ztUSJ9*-U{M33YqWYk{3qtB79wYeWx=yaW4LZp6zHf@)a26vqAg-AXBsn(=~fcZ?eM
zFWr107n;#~xjEU-88o-!W{~xtsU+MpQOA@GSh6Uw7@MTH9M9_N_LI_?e=_%6ciW@v
zt;1m}k{fceO-mFo*fCX=Q$Yu4pc8r(5tmE`dWz8>EUieKCkr}R<#G+F2gkW0sb0%`
z)MCp?xTA-M&UK3D)5fyUZqW~ptI-GbPa!j~^hh^v>HoOHGK*<pH^0bVOJPA|07#v-
zl6T>?xmsiKh6rdgp0+Z(&-#y<%+Q~9TA|yM6O&Dm-7U-?1E^y`T$NQ11El@Ot$f-X
z9#*8g5CdtgQ7O*UY!@t;k^Fl&g=Qz*T!jm85CVRi+1r}gxr66(xbC|bJY<V=%S_@u
z&A(T{JuXyG(c&K81kwRGO5|h~bIa>!R${jms<jxEnLA{x0<1D%1$R%tqwTFmwUWh1
zn@}78%BPi9S_G4UO!szAqRtz(fsSN_kSSW!CiS`{gtOAQ(gcMpZ9d5%KW6Dj>0Ru?
z*|0Hn!`~jHzL#IjwW6>oG?LVc`1%i=IVc7LoJt%WX5oMLCTG00p;IjRuuB+r`r}J{
z)<hf*F~+*%IW=GWM(Or&I(P#q?!n?z;UsDIFXl9!P7b!T$%7!nP#I61W*=&-xjnup
zaOZOF!3elE4^3oXFhGFv*>p1KbM|;W{ZK>-=sXqq%G8>?Q;8X7%@1k7;Q(ku_^l6q
z61f_v8GbR#Cw;5QAJ-!}vztrMa;&ihU=QdM*pB4Y84_B=#8K8Ac0%)CMC^7D#$+{6
z1Vt`;5cnLQfV5EPAj%~8U3fzSDP@4mKX#M|-+t>HIuKPOm+NQ$kI7+0%U>-k`T3`?
zB?rwspR5y0LP}=bkn#%~o}s891!>(EoB0zTuD{Iv9RFa6N5=ZRtGLN*N-)7vBe_rG
zhQgffJ5rQT#^;#pPa4F%0dn0GKbm<U?K3sE+>Z$~$-+4jI`>D3$37+di)i+$<%Hv-
zvW<K*>E@*$(|(cw;*<J2RjCW;Am@v%eDjeeOIc%vAAiscUU6u&$$fsqZ5X<zK(C>a
zPv-)pGtZ-twSeFLTAJGQ6!T>ErrCFf)y6S9^7(4e$?}Bj;+IC+>!USD|FBus4iD=j
zC8FM)u@5c(t)uIQ(qK49d}%Ta!s7_{?*hes(>V&!$m;AIPxyBk$8ytO%DV=UW;3`y
zCHxmJn`8hOaJiOu#|avj)$(5`%=&e+E|u*4k;V_JZM{6Fi(d-{eoCmhE3WCx`-JD4
zlWV~)kyWN3x05+E<p6f=gf0bonllF3w9mz}vYYO-o*bQ7aW%Yk3D;F~H{5lkIdHV+
z@Fg(hn2?r1sPF89Gpn5HL1-R+1kK?TVPMmQhEQTdH?cjttesKvsT%IRQm!J@*x%|N
zJ?A0jX983yP-5+k1tq7Qv0Mv*e=CbzOFXx4O7gbN*1VTiTbb9@{<hFikQuxcN6H%`
z(Gj@UN#0`e-%CQcuN$JU@fGY}*#3~5{*${zHKfm)ZQ>|s$F2|eZ!yY%E<d4wL$t-l
zg{-=!(0`Z>HkKr$0_fz*#tfm#;RVPpq0;|S8qKA9C^lrJ=GHe`6{{~X;B-j`(!Q?9
zm^z2|o_Up~je#o^$vlBeRz4}Cl3F^{t<oi$P}VQpjz2*m1Z8s|dLcAVHs%Rxf?J46
zo@5wYk-_-D4~}jx_EZT9d0CAC7lahr5VUbp!XM`7fp)L!>IVKYPF)C8P6t)v3=F*9
z`Mp5cf<6T6Tu$#->23}Sl*`qi9>l@@_KemJvtPK-pojT3RWP=gekKFWcFYzvDo9o+
zgF}7t@1{-vF=Yy8SbbUHF{S<Mr#yx>vMh)!B`@>&xM<nr@(fJ_OzcDlAP`bPg%4kh
zVuNJ-q}YgLCfnt5X5Rc1G#w(V$k#A!ekgRIXwa7VoRamkk1OKRNj<w)%N8Vi(^9UL
z)jb`rM#-uJJ#KKsRbvRxYIr`arideOk1Sww%zRZZ(pvK{#%h)DMRR?fGHmz7x{iZn
zV>^WU3qWSMzVW^+`=HRRS9Q<S`U`)##2xNUTn%Ex*@@hnCImlU(e~LYQMRFBm$g6q
zY_BhLbJi*AIpI}@$gRc%_Or@Aq#4Zr5m<_emzaM~HS_#EJ?HyAMb5jWVs{XIMFdJj
zW5UaoJ7as+PiFfTz&_viq*|f>2)Kpb6cjMRAiDrwdv#?H%<VK+0S5@N6%`edfc9GJ
zyzF!g^9TWm<jTfI7$8xa0m^K>$L>d|Z`s+jLn*w-z#v;uRn>KOeX4G3y!2;#W~oSx
z<@j>**<GM8Dzo6}lhFkOJ@diD2A}*RNxigzifua)j^AwEF5aAXZbukHn3(oD{#KY6
z9s8PcrusfOcN9%h3Mjj2pDK(wd`_cXlet^5-}(!8bsE-dzDx+>rxG>)SV6~ts;wPE
zRCA(ZVaVE@bQTbHei9akSspODnjBLa+#^GyYrdxm1rec7wz^*CeEVClIWTnSwFU^|
z;o;$sk-@Aw8=I(Y&2ZEL0z_5TqrKn@BqS$C*-qx00TA#@6_uIGYfzG`@H@9FF=`^}
zi>HcAN+Qh8$x$~lDm~)09-&AV^~U1n=ALWxWW{<a64pl*+?=Oc_uEy|IGh+-x7su3
zIG2{h;1gu2#pgHg*^^LWPg46J$`<?U?XBQ_w0zwodYsNX!APvg;5w&atI@ng={uL>
zXT}eKq70?_k;<ssX$NxzFX)r5ypKqmAJ3hJf;V*ojy*9Z>!FMjCrgZ?$KXdzgLWu(
zF}38ugHe{&bo_K(*$z2!ay<I?H+X+W(W@}u)OmvUsIY=A_<XU5=tTcjaBJ*m%@=AN
zf$4?nc<*~T+D-7qFKZG(CkkV~U3y5n=uvZMaxzH(sLKLOG0fWotN%8i^pYowc(OoN
z!1as>4Mh-eT8w&KWko|zk0|PW*d2|}I96^V0clU=x92kJd=hXrF7M*yWmUVZl>0V$
zLNOYpg+N^+VnY8_v;b+=_m8-q5``1IXt)WTA!CX~d%Kz4H;?u-PGfaC?>3<J@iy51
z!NhDBi)$2G@>ko>J?=iaVO=64t`9sQRM_bLCK4<iHJhBg`})D*xGw)fTn`sxF&MO7
zEAPDhI8l|5n1NZTAsAm^EqEW0yA?g*G3A9nTlJ1iaY;v&BHjUCAeB%D0@1)Wlst?}
zBjM@B-nzZa)VK6uCoQmrDnIQI`plx+Y3P@~>1mtkCHsmU3n~HqIZpCPA%vwyX7@N%
zGzs35GR}rQ9NA*(mP9iq{N)RoRyi$ZBDdEVvzrUrO<ZguB&y94$egMV6;34@SAk}R
zEQr1P@oWQK`K!DvU!UZiWLF1GoxCh1T(ExiHDZrLDJ@ft$z^YfIhOKyqmy(cNsfHH
zoS`9wFarn2NTvitR$hMp)}+A=QCL_QDG=uV$HmP$!Y3w178Mn3;YEai*8`YCFQ~5%
z_-?uh149KS<<qY=*x;@dHM1FV5|{Pmzhj2HQO{WVpkZR3uCv~x-9(+Ba6A$A-`T8!
z0GJ}zr3K#72GUfSe!_M+q|`q%sL0HO*wv6>VMX}50cQ^&%F4h@Jq<7~O4{CJjy!hg
zcAf?^@bk>?Gy`8iSZQhL1I*mz^VyqI%E;3`p!SV%Rqmo8<V}(ilBz+|49`0mmuC#5
zJuf!v1;zS7mLl{t)nsYmNwjQir14i6@TwGJS*Or!cOs98nR#4-hd1r=u;wBvt%e=4
zB8S*wpj)Pusl_pSUQ^@9-z3D>7F<QOWu+nZoVN4dfA*O!O(p9`3EDXJixfaPW1Y+<
zD|Y(bC`Fq<U1!CZ^LcU6P)J1NBb4IlQ|Di87t64}3k#E;p#lu|r7e@6Zjlxf3yYnH
zF|gVsr=_9K56jwV$h@%48HyIu+A?3QEf-ezlT)dF6<rBVLx|dba&%`&00f0M`(W}U
zifk*ncsxySz(ZJvWg1Pt>e+a<M$wzN2H}!n%dr`X$mgT@1_qA)fv-rDtiwK}k2id9
z(#FfXFd0AiRY0YcqngPNP2`B`myq3r%kiMYoI6|K9x|eci_GafxexZtaztF+*O({u
zyN{~uO)ND7yaM0mLN}J-QboGil-G6L$)i#IyS@4hdCHslw2Gr#Ti?yuFgp!n!YBTy
z*^j2C#Z0WIk+CSGSzCwRr{QzEj!>Vaki4Ii=afp*mBbK$*ZKVsBn`ldmf(v{3X->P
zo>M1<`xz73DI(a~?+!s%0}lWuLjg(oMgX*x14j=npcBK~J+@<15Mb>&yKiZ3UI9UN
ztN^fZLGYZtjE;?!b#>(idr00<mGiPVkg8;5k4=u!o4!b3Wyo!-Y$a1pFZ_4!sFoJc
z;^f}>mMg*VjykzLGC_);**fZ$gWi1$x<O@TX7<@DDo|5b&uZIuK3r`0$3TC~e(|ot
zeOskOzXq+Ss7SBU98o1hEIJ&W7=Fz1i&3)=_fp`ck;76m>8n?-0GXKs_!YSw=lLL#
zfUw>hM;-~HBel3VrF=YP4`4HM+s~9NG<KEeXl6}q>i$UlNp=9W&G#=;vTZa}N*8He
zbR$4ZLQ_?tu=poIC|dgRbI@CM3icBM0QeqadebK&)if92mZX!Apc?$lE(18}ot>Sq
zPuNl@Mn{LR=4Vh9iiFvDbG{D(tMf|DtZ^tX=fZ;OQp<jjYunx5!NS7A_Vsv)_iJnB
zvM*kkZI67ds3=r)xLR;-Gh6KpC*ijv=r-rhSN-;W`n&FO?R{f4szaW2@<P<Ym*J@A
z3Z%G5iP5h$nNe=1Rr9Dz>q=R0bCt(hC|?uypwxPYDQ=H+R!~Fi-QDM=!d_MVR6ILu
z_{^qBXJgK~uHmm#x$3UJI>8mW<3vbS631X86}i*j6k`9F6qA_**6;~YFiUJtD$kqw
zzlW)MA<soWa+$eNDINZa1%6VOz<L1Fb3x-dc+wD5LLUSmWcbn!;an`Qmm*LkKH72@
z3KV0gkSpXt)LbRyNC2QQi;n%o*BV4ms0K5iJ2R1^HE3SLw!c`pKcei(8O&duY_Jcz
zPi>-5b}xq`?X<$E<7q`6P@=PFM6Y!*JD6oZ_njiER@hAeH+;`Knapja9ZqT?@bY)$
z?O{{-_<A&u;qEUMd~Ofw$PXrK>~%{_+8$~hH>X_7n1Dy=9(Qp%IzYU>X@t2<jm0Hz
z!^%Fjw*k>4un~P6U;3oG3X0>sp)rX7l-DYE2Jxr#f~;HthA86vHQebsA<LV6wu!%A
z6T?APe;chjOus(9(^`f=+Lyk6$;uAOb5WA^tU>F0ZyZ*oNPLBSf+H9SW%0Um$NO3`
z#Qmo=1e{7H(SQgx$@E15twQvaHrJeciAs!e>tiG4@G6IK^7wbbDKgAfB?1OTBR*<8
z-HbrEwq@QbZHI%|NkVHKiFn@c-<*@K=S98+WquF7UPS+=P_P6UHBs5sAYpTSwSomy
z$?suz^St07_zWPAm31wpay35KhYdP$5Y-Mu3oz%k(M~X^<ym*znaw}Jg}8?5Ro7=A
z?ZtgsShcs0r{TyD;)BAeY*=<Ib>iV-9pb!`)x&KfE~39inm{ep&z(hLt|1F~c(n}3
z_dDYVgMIN+j|WRHyhk60;Alt=k4l|Qs-4i$ezKeezXModg_?Oa`yLm?hsM0BvpQMt
zBHRy1exhq>-q!oKcUQ~Y-5IUY%YMfGi+*|5JACjCWYii}U4^9|68HAdJ}2qWTu*7A
zVO@q95F1z!CGjQe`UqiaC*?GFstxV(GX0LT^{}-NCYv#s8mPw7vZd(tK#+Tx(O-=Z
zBXw$_c^m(Y5Ke*z%ZzRUfh)g+dazz?R=Z_ZH&2UhcS;*LM5G00%b4noRmnOWzTw)p
zr>ea5JN@LxT<d{nu}j%0UQ9*rmNz)0X0NUK#2y|9bK9Q@ezI~qUdCVXFk=z2(D&9~
zceW{FQ#86FVmsX8?~l-bShqXZ4*sgzSb7b10Tg%735iDi-6t6;wO?`fwsM2}b0eG^
zsdbI4?jGNNYx=DzTTzGqHqZlmmeNZ^lx=u?VfOW7MO9_<!Fp=y=+Zn2#AiQayza0c
zsL!#^ItKvKSos$Y-=Ndh7JQt7S3kAU0zUYlP(7pM36NH~UAHplrZqHl72rfRnBZ8P
zF+7?5F}D9z6=VLHo0)`bC>v&I!2jS#9&!B!xUDPrF9|xo@!{n~2W|1;zt%-}*)+#O
zx@yRJmxt)2qmwrO46C3kAtN=e6Le3ym;(}Zr>z-q1t9m0EaI_t6_{FH5yZNj*?)#!
zxVwcUrC=QOJq0Wz{_qB^x8lYeSDU8rXoD;UmLvVGOFs80uCSj9$1Y#1)~mK*95_7z
z&%}T7Cfj3B138a7uafWEBckPD;5mRDG0CJkU)beTcWQ8ZP_js$%2uo2Tf{n6mlbm;
z>7@DpRAA|PPH6_%eLra_eyWD2j+xj-`G_RNqd?Yv@UC1>%Qs5c8F|TJCh5Ewru(C7
zvY=V2O&9QsENXKsx^s^zUc0JG?;+RAK{fs`nX8ivh~UpA?EPM1;v~sOPtjHGIWZZ9
ztlE2Xa3ct!DR8rlA$!ql^d~jiHx#EGy8t71e^7}&>sHW|er3{+EC;KRBbgH3By0uQ
z&xu(o@6{Q*z!seRg<k@%sLdQGn_KC$Hj02d%G@Kpn^!m+)yRNq@L=FgaQb<)J$9SX
ze4pw><TNHGy3$chFbVg%q0mrc<1-du#8(I9dMPdxD#L1NB22%udr+27M2ZQe89z+&
zwK>G}ai)1t#X3IcyBb(VJ{i~4tgzVPD!FrX{$Cg~U-p%iL+<JtMV;laN&^KB^mdsb
zP~#hU=pJNZDec~n3fYh&27?fMTLW)RAnnk>f|MB?m3JKy#=_}X?ScmJ9g9jai1@y5
zrLg)401US~?)&u){xrG<^W$C%IZO@s5Iv=azlK1X6~{x2>Zv_VYxZ(Deas}~UHJV5
zkWb9g02B7bZh0ZuTZL?8C7VK7Sq{qLRw~Gw;!Sy*96jKU&yO~vv{!P<vzmdZHyHOX
zYH0;M`=M-89jGCELI1SJT@x8P5+#0h8|?pq|EIoC;shw5M$@=k+eYob@mb)@{+~`i
zccy_gQhVjwWac*aZRStM(K02M%|6v8cAKg06;eYxV?W}>a|bYc2lHBjU}I|Vx~C+#
z!PBulqr(a1-5%mM0HX}^YyZ_G3iexZpEc1xw{)LfvGx=Vuii#=(|UN<^u0MTJ3iRQ
zTy8Z!Msb4)@}jNF@8XF|rahl68IA^?2r)bt@6B{9QA*}`^V50e4uBX0D{wvk=*7$b
zvMy*64|+W0GQMlut$*BPzS`{Z^bTmg0KCpA{)8U&B2W*gxw8|;FZxo>zXB@*NL?M3
z`wXQBKEXfQeOIo?nL3{?psbxo5qX)849Ug!`|?GinQErg$9o%rQ>i`k#H>`nWU2+>
zc&a$k+28PIrQ(Oz{SXM?8QD8k%|G`SU@%=J|HSR8^W;Fybsm_?)?7qT+5)^Gm&4KB
zGN+NN`>Mbc!m1F%T4{GJ2YK_7eX%DxPB?NO^mKVWAaQ(a3z0Biwo&)jP&Jb34R<h9
zXpR}Q=B=<8rbCI|n>Ih)G#u#a9ra$(Skum>H|`kQ#Z5lFIb-PSxpPC|Zrk}g?HU=g
zbzEi<n*qAP5?Y0b``&$7RtB~#)ZDnl4E47tecYcjima5&C9BnU2@9)HwW7&v@rwxT
z)QiIminK`7CZjrED~7`taZ%&`$d(rB)~Jd^k7N2YAwt7it40ah+t0o1TwfSjO|=-{
zaR>PY$DSQU2Qq&l_aLBrA4|dol;8QofYSac@{Q8pa$)M{_p+Xkj5mSJe<W7t=3UQC
z5O~<(pu!*gXg*?o>)T1yV!7vQbftA;+b{jIaj;`Y?KH^T?I@h*OfFUvd=S;>PCGbW
z5%In-k##EV+Z!}|_014H871W~1Lr`oS`D^y8PnyUANV;17ah>YwD4{D7DW%MH|Ju7
z^!%?yqD8Tf#+l6vN39)mPV0~iN&8kks9S@Akpc0-m{MZuUy}TBA}y)jjRyGvA;8p(
znHLNQu!7BCQbEpc)DM9oYpl#n6PX>V{HqIpxI4S11YY_f|9x>-oR))0c^+Id%~hoO
z5N8!i*wm18tbr35Vl~i(2>5`>;K;<=2^3H25F*;_vshA^IqsYrZo8a*4FP~MaHn;A
zD=od#Fx6R!W>uP0p<GIIvy@ndW|R92v&cF7XBEzUA;FUpZ~m%$aW00ZZ@I~+*NB2~
zecwHP-7hCoAdY#*^1+7&J<z|Q)5P)J(4sj+G8`SM55J{FFm*y=;x2cP#=S4SJAt7<
z9Bns<f=fof7Kk8OkW^H@opr{ND;_B%Z0=wroa(2~3Dw}O_?%%DUMY*2R|Bi_=IIsU
zNm%TK>M-?4|B^Sd@8+-G2B5x+ZYJ3!Q5?`2Hm$5~OhYl)h(u7bZ=UUempc=EB}T7E
zn2;(t`8i|t-!<HLoY|EfDVN~MkIn#dU+AxPgVQqA?YS<enPIt_60Bgk`^I96XkEif
z{N~Ip{A*44KiQN5Sb=lXl_GUB(f>4h3&8FQ02G6}ve{yCA^pUZc{y**MXB@Bd3W!2
z*ksA$J*Ub-q&>_CksA^fMXo7akbJHo8%-vxo*f}hndO`PC&x_%S6CKk^k}r=ocVv>
z@agzPOc1CC4y4O=I(Zb~n~~@Bm{BU)mCpU_<MV!CRalVOe+#B4q%mX-Hn>@QZ3;`5
zkKtx3VWi;DUjLECbt-7fYwyI;>zT#pomdU4`u@hTSJ?W~nDn5abs794_61Zs{{<$W
zvX%rlV60Otw38%6z5ZmW<iv7+6TQb5q`!6p9aetvCBtk;b80b9@8wtWb17NF=BfEv
z(Pc^wqvOd|U5tzeTThIj#~a944-vC%I1_Vm`<VZYl({Wd8-&rr`v7*lyBm^DpHGVo
zp8X^1Bq!DN34g?&+&+`jl3)+(8;-Y-|8ydcem&Ohqp-TWlXqF1ozHV`_v#mqz<P}8
z7UG=AD;DsS`qQh*)8$WBXQj%R0Kt5>IPof3D5tGs5{lefDvG^VRew?S-cO<i{$D`j
zS`Huz-J}}o*5s63@9CC-JsS<IMa7Bh{fF+5H)rU=NTY<CUphyY$N*+z)y|FKy`y4S
zL!Pi-xIc7$5{moWn`tTIo)qumtG$4~eoLadhqKtp{Kf*Mw>UGt)s}`NTjyM~*|4)7
zZx^gwhTwiC$>Kzm1Rd&DiyEb%4K8s{ji*2Q9mx$$kVDIi$0viqwO0X9E9_2m6Y-eE
zSa`9;+dQIg@iLlzRe0ZxA0q<}7YDu{AA8CMd2wgN_!uoanOVN?F&XKLN=eXbJR}`L
z_r=}pNg6g+b!5(|u1cv-PmkV~2t=U?y-VGkBM^QqSh+i^mz%dJIe$$~BEmsZ^^IhF
zqyD+UsOczh)26<H1p=3O@wNbeoY58@+)<49?$kine1QU^<M#Eg@!+Uqben5pY^l7d
z@Q8_#<#yshOvS0Gh(RqD+5ivqn|QQNgm*b1sV@Q3iVm{U@rA+sZ;mJbX$I9L<@0ZU
zFShpgY$7d##mgU?(iDjyk{h`$K9s)lvxSH{oOhJA(Yj9ia}+YI0si>uiwC&k-PkI|
zzY_xKsUT`bG<}S!L6LClou*LdIPk0DD1Oc=#l0)__plp<&ijMs@%5p^XTjK%Pp67c
z>xh628XmR!gY=b|mNJ3E#{}QPIXBG|eBZ*M9%-W_;RN@ehB6!Zv>s$UwB<=3`;{%_
zs+m!Z2$Ry#GVNE?YwmUg%<zkPXwEsqxMTGxpw&9PHgEbVbS#$G6=tO=;%i#JH6Qvd
zv_6n*N${e%BVTlEb4Oqix{q)uJam@O(alGxGHf-QS`<?V7^T)Oq3foJMor`iH+a5~
zj7rP=%{cbrF*w|iUeAA-S{KrO*rrOd=lqgg#VD<`h5zo>54BOq|NKprF82L$jc;)^
z|2)q!mnx*a%p@Kqewl=pduYfKCF&Sg%yPDi$m_Yod9cAeil?{IhwI|GYD)`a@YV*U
zAJU2+&NYsNF!>$yPaEIe?Q4r3593IPJ#<hsdoCB;c=;y5zy9)LoOO}>_t&PqZTk!U
zF>>wEtu1|o`|7x%g^I5%#DEW}eH*NyS;T)=SMzUpUq|n`Yx3z8$`BdOTZy$%Seh|f
zZ24%W-333;&7pQ*&U;HK09I)GxX~-%i*q$NJ@|za|D1dcj!>OBokh<;W*Il6zs(h&
zylu(f;B?c9fVy!~=BBO2ZnZ((F<q37_c;}?)a^(J5CFqtYU*5*EK5kJzaT_XU8NG0
zeWRj%k^u~pyStc%>(^!x<F(5yQntmPo7Z2<n`K-FKXh+V4t}Es<^*Kv6jeG+zqb-L
z)&!uuuDk+-Apc-qg6Ynu$Dd7y7R`KiBdw1out%$Z26*F>2Z>>TkxINos$+F={uU&E
z8W(`M_C0>nX!4i{7CLAfN6n>W@9ut}NfMBH6^68Xh89b27sbP?u{LAGtgR8jog~eF
zvj3UoIURj(@v~|P4qB%=`bh>g%a?@)OL6t|-}o(FG<*D6eZF^L1eMm=IB0jEVJ-fH
zsO^=vTH7d>({UlQ?K0Z0rnEbQkF1gh2T^DSo|}qV?s6*ERtvq)82n4VBsE@&MZiN2
zWsHD_I9U*_&Lt>D+#i}AKm{16t)TFk8t5|ICBW^nf#S>Bgwinkj;m~8y|JyQPCXk*
zwmw2>nA!n7_N;48K0<J(k7x<1THa2Q&C8Gke@da8XkH{C$F=0LR2obHMuf!nRfj_>
zS5J+OF+5-?2_{6Z%?&^1RN<&yyq15gZA1T{R3@mzUb2OF?@M-ZU@1R@tl6Z9@5TI0
zxw@k-=^j>Us&M~Dfl^>~1w$SoE1yiT&3{&yiiuhmE@kc6Y-}Z(4y|}&&dVwU?bES-
zdw$L??!RZCnKteey^s-=b$KS=Hr{gbr_bH&*DrWi;I15vuT7rk!$J_-=v#GxK+wX`
zBJnu78k*SO2B!b#Rk_-#k$^y)AO2!ch&8TmWIVfD4*ixk$AZNQ3->~POOG^2`Vh`h
za?5}DO{79mghJL^5YJVplsXKsOF}fH7Ngp2Kf#6?M8Wk(-3lcoZbjn^sQED~=)TA^
zte~FXko7|pPQa3q%GFh~3A<-9N=jGPrMJ~X%0c2E*UjMpb@N>lK(!p2r`#i2+~Q#F
zN)-s<rVrCm9+pbd%Th>2*{*3(Lt_8=A<+esCh$3qo^6Dlbf0x>P@Fb!hcJ`t7?CmU
z#&S3E6<gp`URd~2D=@u8?I!V5qh0gKWslvoDV&X~O;Luz=#ZoM3d^#4<*CAPki1cv
z(?q^3-r{n3yW@uWG4TZs9iOA4a4z22yupS5ZekWz`^;)-A$j+5sX+hp8wR?W%mFPl
zzwyspfL?TO8~#{O8+uloCMVMayI=3&zTJOQDX+XbU*IGJel{m6a#6*SJ6CZre_@)F
z{uf$+_Mj9>=9ONH{ol)HdEdEQn`8N1p1f&E%7djohjt~7qGp@er>mRWQDJn%6>F78
zuBPs^4vl&=4i!i2eE{G9|EKthlrx|uQ`_Nb;4<V-zkZyj>!5*U>je__H5e)iXTP)%
zp&FbVPxwiG^_RreQ#s&sth_q#Up+W_0)*xtYYJ=u-XghHcs4cq&5c$Z@8$P@R)bEz
z=z8`7jNTY~>ASrJHg-N!B`&KrzE_WR@|?ewnXp^MP&K!(XZd4feS#+BF}EfUIu@OF
zb2)yCLVwMko&|fmPgyQd3DH6_+C+C2B!c~UCpb1ydh3WmUH1u3LR1NwnH*?|b2lPP
ziHvEWN{WnOH%W@EJd2HCvdno_tpUlTJySLZOUCBS&Z3swPHe1gjyP}Z*aZ%rKvX|J
z^?P|cJQ8<J?u^L7jH`3$PJRn(LNg0aXT9j$!eY)?ep+n8(m3<s9?*(2!T#Hql2d`)
zGL|E53Q@f;$E`7eQE9iF=~nMtro>T;E3_X&wUpQMp7aw?@x|23>Fp`$(Pk>AZhr(J
zUEe%93$<<?jnp>&eGZ~&7sEOCj`>0l8k7nQu<dX8Y_hFpi=l`P2zD#ABV98~WN`P*
zh^qW-mH_LmT2baPQMMdE{aoI1&)EetB_(>5YKvpX%Gw!I)ZhMo`Lhns#MX@n>-{5h
zoNnA!**K3NJIqH$fi)mVb<iC%y0tQm+Ep2_P6-=IwwToX*QKS|=$s;<qCZ3L`aZzn
z(Tqym|Hi*V$bXyT7{#L}L7DLbS#XNiPjZ_7$Z+LjJls0Z2pf?DBd>F)Zy5vvg8^v|
z(%%$>zaD5pBu+yg^ju+~94{JV)L4-lb0JzAU$jl_mLbhGzS!5HAG%ig;*^P5*?fZ;
zAS*j%&nT9^Ol%}ix_(jjtAeMq!lHdze5~H$nHT%n(Z<W4*{|L+{GBd#z|Go?4yz@f
zp8{1F)^Y3k*J#J6i+waVFb`>au%(aslR~A-1~tsSS#2QlIt4n^a?iE36m<O8S~a!l
z^yt%$g=2`>C91u{;lm~ugGbPl6ymD1$tk&kLAFkxFV>a&m-RX+*bqR8<hHUiiA|X(
z*d1|%Bz#u7X=i3<4=*ic=g1doAJX4>s*86MfmWJQ@lB3FthQHrOecT$nS-Y0eV8LX
z%j#FXJTT|<hca_|ogs5|gP|FR&36s7QDR8(MyFS}bUkVDXZ%!D`pR=Q;#y$2NHe?=
zc|{<7+a2qOw<b^WE8c<5!$QG~+?GmxPgaRSRr-R?ZCvdh1^0WD4eNPT&!Hzez;JMF
zt@1<OWJ3UpxtzB$|IdEkd^|9VP*v(o&A-!{62bpB?K9C1f&MT3Le#T(yKJiQeEL3(
z^RcMP5_dJn#F3~8HCz#PT=k|8C9E&cbM`1dIy#(wY!n6_i-@KEpzdvxP@H7Y1e5=1
z(DgYxGJ5Bindee1pTU&8Vk**~O;!A3arA$S)gAf!G>g7hN|@0rC@7dhp>$%#=pC@d
zHo|`GZUA2*GQjox-@qZEr)Wvi;kh})D_h%PP8>#HXDC4Zm(@BA#6NaRm#M9elm2J>
zaS1TcTt13U!cLyUQ_*x$_rrfFOZ)e|Aumc@rDgYhhr*9D3~ehplFLFOR2l0MTl}Hu
zk2F@Y%;==!s&ct6Gc}l*qJtnt`4MdLGLCVYb$Xv{u?q3{wIt{!SSvoiqUp7Z5@2}&
zzt8@#K?YiAX`C&sl}N{gTQDFM{_eC4qdV~@8D&?>0inrXD&lV%diBwwlpfo!Qpq(b
zqtd@r=3;n?N@%~2aK+*|hnw!zLy81*q-=QISrGSpHqugYd(Y6cZs7kFNrcIMlwd(w
z!Wk4Rr&MSh6x;mp!yD*HgetMSy&CV7Q{PJG3(wz?sa>cSDHaaCDJ0f0m>B>*6_|mv
z%l4zQ_!44`LTDdR96uOqsuBrZ_eQ4X73|vZl>u(>Z6es|c9kz$I;(RWf!W2QR>nlo
z8um<kFg@IEK@!mj^Ch@{0ujOq$d2Ig#|Kdxsgy`hz%}=uVoLz}&=@ZZG9wj<eXfLI
z#%VeiOl|xqnrzyO4>+Lim?N81Xf`eN8s{=v7r%(KFvu-?1U2vbM<5F3$~Iu|MvsZ3
zdJghKP_w?^;rqdHXN79uJ0{M&X*k0G?S>8MXjN8`>YUSyWYlyXQn`ou#w>4symd=|
z?u(dp-?B2<fL^w-JS9;;!(;Pdo@Z@Qw#2?2r06#Zj<K`ay!#VOaVSQ9y(plkkgVWD
z<7tFrVr_yl@{4>v>Mc`t`5bx=p2YW&Y$q}q<Y`DRf$5wF?8GQhjaY@3mdYW2oy8a5
zhd}+;E9<OQYSag$Zwp8Ht!`uW5LnhZJ@3_>gEa78?v{rs)0!JQmIg8?ApP55v3S3=
zRFOg|)-uLn4*Xrc4T~jNFFBeU*^991r(dia(pJmSBD>5O05g|a@bB2{B;v(PXV?!Q
zK5Smye+P|l^vUOYd>{(Zz~sNK2KJ?;dSY70V1a80TjXTwpKDIIX>By6AoEyo4{)jr
zWwf=l!i3$o+IxGEyu7@UC4$9&4h}jC=QlQzjf$OO{5d!<b99UYW3=f61!pr=<>ZhU
zRMJrt6%~QQ2Z6KY3{UG^<Ah4c1wxzf^0*(=`VZW3WS;Qip1)b43Hj_}^8}l>5D`1&
zCB08FE;f3C#xWOuQ8;$xu^ERtDy5bL>3Wxvw8S&>xMLb{uIrY0MkHR1SGoe%i_EXX
z8nKd<fI_9eClyOi6&FWLp=!|`nyULOfQw3%Eg(wvZQuEGL6_$RBwhC{s{z_!Wkq&d
zo^U6o#uCt(49`+o9Pz>$+Fof{v2OEx<eHI<lV^BqG(_TL<jX4{h9P33CFrsFNV4IH
z?{qj|>r|7ihDzrUidB=vt-$@Ip-_~Fs?=v+2o<56F7L4S_tE9~<2RS-ohTuT7yTer
zrf3fwbK8SHVz?*N+iJ7^$!~}}3%7<+LfyAVXc!ofz*Od*ESbn-04rH`8v^6L<Jk>r
zO#uQy$mf{aX|X;8j0V?zY}POB1%{X`H6|Q#@_$8Z7zqdXsGjsSx~#(gsH!@Tr+n_m
zcPs2B^fZBA;!mV3ZLfR$U(pAl^qGw&>^cDbz5UP5{(;E7P(wolRyYp0{Ot{3Ly}rr
z1T!VCLnR)r5Col2c-avo!5G%o#|Qraz+WH{c6-*@1rQ7I612eF)c5`=0_4w93prp5
z^_90h!~kSLER_W1QS&KQ>(v@M6G6nUUjMTlIC**bdl{wQzG|U{9P+ldMIE7Ct7F|6
zO7g42ZnD_e&zyI_SW<SG-C+el`f3Ms6E?Q+@IS)&IX&WN>uYPK*4B|h_cyx>a`BXy
zm3p!3ees{5pxO^maM9yA`-jwjFE1mTnnb}Y^Rqro;3NqR4Q*BR@Zf_%KMog#L)QWL
zsAFIN71|ryF`gsuY<u)GiPg;B{(CT(r49$tnz~PgJi|eyw4!A{8AGAuNzgye?DX;g
z{abTj(dnR3YJh+F5Us6*U8G0nqqZvjTL%0xljPZ89OrpXO(Y(R{#Y#?Rn#C8XW^qd
zhfTX0it(CToQ-$TEamlklh!%ploSG0<rq_A;&tioonz#_V!f3^_pzv$cv)gR&GM!E
zgc?wcO>T+QK&)D|jF)V9VlPR${Pp8>jx$A<<f4i@WWG<MP!6q6g9Rrd*t>rJ_dzF$
z-dwEF4Xb-b2gksm=ANIL%DWXwIUGq@>YcC_F!8*_Nz-C^F<WLtKFzbau_4Lusbgeh
zB=dJihm-^ZBV%8CN^xN8g)qd$&8>63#{LA5g;u~k`jE6V@(66I_hDgSatB6@9?W2u
zJc|bdtQSN~unKZ2p-^}LlH@*rfcs~7Rijw`8us_2LTqC&I6kjVt=B#+2B5Dbf`HlJ
z-2D97u+pKky=in+v6ClY<#5}KQQraf2MM1Ij`;P)C%Hagfa&V(?OlPL42C84*T(?s
z6dMx-v=V^b!+ey=wW790w!0n&gr}la@P88<`@jK{MqPl9zkk>GIIgd+FA`Lng%C`;
zUfFqBFyigu5hk4_>FQc3<?rNF78IM4le1FRHs3}r$^pS3;ey!O+Sd6uR(Oj=ay-ZC
z`g!q4oq+WF!Ur}8vCbJ=nnQQ3hz9q+uXcCVraV^2pM1MV@ZZ}jj(Qv|J^kI}?fk>U
z!s1!XyLYa@PzC%d2#|||1!QoHh(fvP5)>1ou(GlOQ^7fbeF96;yTBNPKw3Jw^S=AG
z$6JYw&COkz7~t=#sH~JSH8st-NEZ(zQ&CZ=^DKj?71v|zkI+<9`#t%r6E9h+ovGxC
znKX^;((*@D>-(N`D91;h4xdI@O!eOIsO!||usm}Mxx~V(t-PP(TG8S67Fy)$?~x!I
zvQ1jFCGRq66=n;gfAEt@pO;v&tIH%J&?t_gd<o(3?9^8YzbeY6QEbN%z=x(N{vuJw
z3umj8PU2T5ZIx>RMVp`ZxXC*Q?~Go3IXl=>>CCc-rs~~e9J2H)oK1HvEfmqrB?_<U
z#@03t1N~Emm$cc<gua#P_k~T!Or@x=#Um=h*>q_gazN)xo^|0VXd=LI2XZ<MdNi)u
zrdHu4d`(bqEPcFu^{-!<WRgF3?NR>hqc&xXFey<x<<jz74>u!Ct%6DH#kr)~MDJ`S
zXN)hW?n))!*%rdX!*e+;3bE-`Ku%6hg#6B!h&T*kZo!UUuXRfwfa&G<@=`t^Kn$43
zXNXR>NBaQxq$2n+C|$%8?R0Bc2HZL%tf`(D5Wn8Fw@ZqhjmZePZ(#t3S-9Ym4+3lt
z17s#R2rvXO3pmb)Raf&pV`PM$to6**Ia6i$Zlx@U$Ip?+uPn2MR`5cRIEc#S8)(r5
zcvOAnI3#lwF(Mki$<<FH`OJx<R@NKvmQqGe23_5(8>toX`<QjY)-p(VT7!ehA*K(k
z_{t8b$Tq8M{cZOb<gjm|o+AhR!O)wtUA-2+ng?GH<<N;aGJpKgSiTrw{I+xZbJGpD
z_0|VD+omKq6JAz$?(4v~Mqu=O7%-Aj23?uK>?k+lXyNdj&ByR%CT&<?^92vI>1f7t
z5<tg!`b{zAFWLw}*~H_)?*ZcXUkh@+_ejq5zcsa|gfIPVZc}affpsLS#Ex8H@bN7f
zp|==g<RqmU^VD2g04i*v!{KhMrtWSv6UZTaU%eWVbTt#s?nPWj&?N5)d8v3X?xv=%
zk7i(CaOWz5V{VV$ae9H*6?<gF9?`yF#UnC+B+26X=H;^pKz!17$JYktl+wkpk3Zue
zT7?Ye#Fk{M6omR_?-O`v-%H1_>!9zKBo&4^ZrZu8>gBn-cZ2;9enrSrq7k#olb);7
zr#agOrxFDYhe?(woG`;V1|2*{w^f}=Sq>X`+*jdx9WxABH@JPDn8KVT8skJVTnr49
z;^=Rp3oAEHqUK^1=E?(7>99Ec@oa?=>$fLO;Kpbq+`hh^jR|;Oc$&9Gc!AGaR4FSI
ztw$XFR!`I1sF0tKIow{MMtz@61FzDSkpJ^e0mBWhqrMv(u5?!Kj}fUF^(=NUYB>z4
zs2ZJC+6s~#_eVaW7LfkCGoBFY=WTt^aO^%QtUQ<2$7TcGJEFLrVnh?@tSU0*0bSR;
zV*qA%i9Nl;<P1TaPSNI^{{tOh-c|2mTCq3EcnX46fe^Gy6KxOYV{aBLB9qc<MU1wQ
zt`%!u`1fDo%^bPmzlz3%xzDPqXR$~p++ma@I`*B%blseAOr&)-M5izt5$47Hz(H-(
z-srANG^A^O0<<S-T8B@?yMukPV+OBK<3hv6YNAjb6O$*j)f=fbpfbC~Q9+4^5g#qp
zq}=3MusvzU^|L_PyeOKJ+>R~p6}6{SXV%0O&$En%h}JAh6wb<ynjz^8SrpHJl14ta
z129G2fOU-r`J~o%<D6gmi(DYHx`{y8a4yG7>F84?!1~~dBT-EHHXegw9VsICBW}V+
zy=~oAIe&~qzzC<PhIVTjkC<=QR838V+S93Ip6Rd86nWW5Yg?;m)UVOl&Jx{xG>T%c
z2BfL$k5q|u$z8IyvOu=S<*V1Lr6L}@kSXI1CE$57ANLj*K!m*hhNn%V)EmTy>3o+8
zXCe00MrA6!dP@J-N0WSHb&;E@Y$<%XEtrB+T$E_E^{(k(`Rxg;Yhir?hjJ5{vHY;V
z^`kSGEy4!g1o8i|bdKS1eP0`%*tXT!w$-Mw8?&)(+ilda6Wg}aplQ<Bwj29B`TgGy
z!8MsH=gdAEYp?yR`%zcku)RdhVqSv)T{J28E`LQ_sR-|#Sb;OhrWG^e#2~ChoE?>4
zsfd?$U(8jeW8ro(LoGf{%+?K#Npry<K8UW;uSkTVOa*e08QBg%nyR|_aWg7m&t&jg
zLji500UoIKhCo!HSB(jfwyssQ`TOZFl;7zPxO^90JHxAg@GGjG?Veb^#!m?^7?_lZ
zM2)6ia%rfDY1}W3U-7zLU0Do#c?c8EmQ4ODm=gc$E#l0HI0*zdKpuw>s}SYj;QcIo
zT*~?*d@W3QYAL1!`|Y9}uek2`Z$40)cNps41pZ&Y50C<I`R!gxo{KlZ#iypqme_R3
zhT=MlPFbz3BpQVJYZ!3#m^8ZDSISAPrI9V}rd}mxQYJJoQ(EE!2ZKPd*q<zyXl}#A
zn#}OOX5aYZ@rN;UEzCsaSfvlTVu4!jy`nrf@nn#;Wv+D9nc}KVtCk~GJv<cPp!6>g
zIRynV^}Ed^VQVRVHI#Klq(+(ykhBEORaS>egeked%!G{!q_P*Q0k-mady|;+WB?XJ
z4pJ)m>P$#BIhBvp%f4VD?r#GI9=RI|#{SdYQMPu=5yiNt7vk%yZE=;ZMx&#xt|64^
zKNl;YB5m|S;L<Kp?*ZjG`-X8%;Ee&7W}+Xi)M3+dQyeJh+gKPulO!P>>N5y1QmO7{
zAKUi3U!Dk5|IiVV(9aHIqjeezMBGHC5r8@v5Hi)=w7)2;GqRtKuov+Z_V)o^-4KU3
zRv)V;Q+{8bse@R{{SWMT5vx)=H@_|tooQ0wPri8lnx&>oEZ&e?BrQlK4h)xj1M02W
zE@fH4H9wKRhd^Bn&Ec!PXzw@*5IZenv0vxBULf3vE&Z?oj@SBouavnZ>`2Q<EINPI
z;-0<Ye@83RV?NQ!!z4|hCQHUQxvo7<z(9SOEU$;N{apd<YktmJs}#^l%N^pJj0gv9
zOOIR}XVLQI#HqJX>lI>z(|-np$>t2kUGyM24Rrp-<UUhP^w!c6Uk$lJ$8&>EdqtGD
z_oXZ9h?IJg4WA-?HO%}!m^w2i@mG{&eVXa8^-3O)n)txbAa|Spj}D`?R0`!EqO{U!
z4E0#i*3--7z1fqBU;C&ITe5I7o~Z%b-VN1!w41`0`5)YH_@?#@lmS>b-iiFhCC{qk
z{1uUGMBBt>qQIqq9y7$_Vb8#@Ctpy^#!!uuauz(wFCErX;;(K%69##U%5%TFfS4tm
z8m?s#fN*nT%ky-W%3Wfm2F$50m!>%p(JnrgKYM$FrHGk6LW6z{sK&bE2bS0yUo^V+
zZ`gw)k4RzTG($|JDOgf+hcEj=TJ(}kOvd;<INN!sH)_*{jBkIkLA_@*8i>PM3xCOv
zNuNUqQ>1+Q!s+9bfdF8)&FQ!pZ2!a$-kxZK#4JjwhXhau$e+-!8{GQ>t0XauMUky5
z3B&&B6{O`3jbyU_s_e4X>F4(#5hW1{vlvF{3sLdA0Q`CW%aFkPKiT4?`oFS~dixW1
z`J4d<9Mj;9yzBNX4h`zpk);T{3E$|nKNJ1YJ7EhcFJyJ)98=PBC{XPRJre6mH9`lh
zLfcmeLwrJ^Rdu9AJee+d7dLC$C7NXy0|)T`g(Uc>cEWL^|Eyy(xhH3eT=@XW9o8=?
z>ypfN=-7|i-$J+xA#4!Roh9nA(~e<43r;W4fmk3Ao(rw~-9d!-s^7-f-EeTW5PQLs
zaET^kl4fd5h*#;o;P!`;%256qCOQ?Q16Rb^P*_R1<m4nwQw?hgIO&3q%4$|vkvx0f
zm@Arhh}0Cr<om@eMN2RR2HMk_5}3K6^oOK9g&1a`G~5U2t1tz5bB7uZU)ajO!=avi
z7ME#IR{L0m^W!zBGS2G-|4*8I{$F?H=9l`E7h`5~D$1pFKr53P4ZddGsXVCw>YjO&
z3*GV6=#`zAI8q>Wmk<OxA-5}^h6*r@azbjcV=B%#-+Jaa)7cmy{bX)rw$^rFBicXD
z1$wj26mf#Bm70L#{-X^&mOsOA`|byCsHa=eKCAsx>uX3s?kw<UTj3VZGWl})ao5rE
z#EkL-uN~VZbLbBWd|9x*FVe^~3a243N(p_vetONrn+>q*0W~DsUr~GV&nJfJeGGXU
z`AGnFyc05?3n$ViYPWWkkoG5&Ivf1Q<#wuHLwKEbFKp{JG^6S`A6dJD7y3L0aE2uN
z9pd-VORx!v`8^@}Wnjtq#z_e1*!}}*C;`IpzZ2%Y&DFdWr%dm}rgu9mJ;}jVYS}B+
z&DjAI&*vGNbb>o3k*<4T#Z~!mT%FLRo1tlutIMmv#`}&x5uOwK2-l5B+>IkyJVO~8
zf<I>=|FA>>b)>-VY;#yc5U>Sedka8IUrI)WS_jU_lRhF5m=fUKI<rcgCbepplyek8
zBfC7{HL`gcFyk#b3rxd+5)*%fu-1IB$Q>e{?(jCvix3SyC1L+*!$*1YwCN>^Vy~XM
z<!J!>+U840i&Qt6Z&SLFj+r+AQ&^t&SQ^D67b1RW1w<^7bkq`n1k#oFw}E0<YupsB
z<_o%M6pnKRe-d8B(B8Ly)>(=z(IT5U@S4k1!tIkk4GXc@t1%wAj|`mhuN^DFpG{{;
zG5Eb3fN}^XUCCWSlbIUyrpU-`t0=E8V^fKD_i8+9yB>6LC@?mQI1=im)UH<J)kNl;
z<r8swj3%}r9r8dG<GcMaMtxq5_vIhA2sQMP<)v-H#KPo;xH|`!ckOO`sd{P6>tCz!
z#Va_8*Jo_M*GJ@Y>XYHaKB5E4`hm`z-g}p8J-ze?#8={HNP~-9NHUwP<?k-@^+zFg
zpg>+yVsoI{G%LP8-VN^k_)@YMjjfTM1QMvOwBm`znbr0=<Ll}yVf=SuYZdZk%@}`k
zD<+3WpS|A?{c8(auta5F<ESq&>&L;O<KaYozv+Qg7oCiiEKD<tbty|FiwbXNME@l}
zNQ>#PFIhlwI`H7z-%N(K5Iip$eH;&RJ=HQ@<^jctVvJLM9X1&)S>NzT1n@}cJ1U6T
ze!GES7oPgY%HVtj1&!nP9o21;KeGNAO6s_}XQYA{L}dBdvFz#E>&VCN1_44wyBdlV
z5eBQ4C;iY0?w_yP`lDvy#GflTN37_Qr&^Ne`T++p3N|`7i|BiIsdv@tw|M{-GUjfo
zkqPuKNH%jSZchwceg1>ij77E7495OBs(A+FHVU14RmH{1@O}<B8iHsi+&6uv+3cKb
z_#t|$8!L;jn6>zTMUgoo{{-HivFxL?ZA&_IiXA_HLJw)HqXCKvTw<N{fc8~_b^g(1
zql}+`vq9b&vHo&=C2n@8W&R{)8(d={bSf@~@9i4X{f(=bxC(!cuOE=~F+Ms#M?N}6
z;oWCR{Bc;t+^QN@z9`M-OhXcoqbTF<^kb7aR4gcwfba`vl3R9^x33wA*qn~P?F)dp
zqs;Tqi7cV`rPrL$NCpm=Vki{|jOBjRK88^R);WLZ3P8JQGnJ&nUDiaR5feX3Hl)p%
z(8^+9j^i7wU+X<Q#@9fNaV~sAHRJWr=MOmc?Pxpe#~MPV$ixdDmU}UaDh^Xn&=Mi=
zyBX&ilNzLxVn@Elv*2&+ga=KWX|sD`N8@PlskxFYbNn&Z-QzFuj1G4fw@hSQGh~Ot
z-BTszbA}jOUq?=9ow(F_S~jkDIb{R&P%S{*AtMY0ilJS*9)=s7311u(z^l_Ix1{R_
zzKo<@{<$>6*1B4;Af7n=mYN*amxT#PfHRkp+ev{rZ3!8!TE90aYYYS`)s96l@K4{u
zitLJy$KN{$*;MSh|M{lAqm@PlX2W{Z7mRt~Pm{Ohj@TNZmD%Wef)%Tr+gR0DuGu%*
z{v^!$b!Yo!{r2$f?07#qipnRyJAqMRB^!P3Fm@0tUs;n`cJxN*M8E|hQz=K5yV0g^
z(-GSC`4vR!V@gOPECih?@;ncihBg96^Hek8&+)k~wjXwAZSy7k%?XVcs<fGr&r{0Z
zwVwZ|mP1WTC&@M9i}WZOT2(3JGnEw@=yw}L*D#HFK9^#v`M{a@2C@bdd;hF&eK%R*
z0>J;tshjtWOwTFbLcjCc<Hu?&s(=x<a2=fuc%D8uZ(^%2e3HL5MSD<jsR_G_Mfj40
z?!jFya5y&#Sd>?<{fNsUT}{%}j)rk~3F^qBk!Tu_Rrbq_00gB6;2`*0mvBEkMu7SP
zoKYtyYf|tt6S2#x)$+1vkOh@B<=Z#n@zjRjrAvmy8mj|o#n6L;_m5#}n=k1VyD7{e
zB^&zhSM5MNhYNmUC7A}W)F$=dFHw$dD8IzQD<zqhUJ%%{BpzvDMdQT`E~G!RL_2@J
zOq`#V5@kr951$J>qAgrH3VW`q*rX6ejmT3i>^m?1vvoIZ0Rhr4z-_5ka)>>f#p?8S
z?eC-rN+%_RPSJ^r{f0?A@~h|EVq&91V16LggZL4qefvf0Jg8MZdNo3==H!?}0nKFN
zB5I7!cZ*|yf!R!zT}B4RXa+q1`kv3k(a=FE>~7$n1?|s`uly55YduBZ_nod+X21T(
z>~AFkuta=b7m%>=h@tJ>NF1uwnM(!jnE!Kn7)4h*S4J4(xu-ZWn<luEg*I(T!}E4O
zMZC%|WN>aoJfxOhNb@2%X3Y}U^r8o7f>-Ct%)Vc_zQ&$IrRaosXgc(-EyO76vK6)3
zm_*1q<jO7lSs5b6ihwiL4rTTBx(zg^B><i}P(I@vJ?gk60n0<mA5pIrN>2zxPNsl|
zNSVUv1Xn*Q4v4SKZ4k}Juy;h?;^J}Vj_}>{;WxxOcxwg6EG^Y|b}C=n?V1kMGrvY!
z9~^?QdkR4&=mYI~8dNL^n<rP;7nb=D*_s-@&YC5y;+7J{?69t_tGh9lu-DW7n{?5O
z+H<RMU3nqet)HPBXQ74@gUFo*64bV!ZPHhOj*NDS;6UpmPclO^4GSj;m@qMRLp#xH
zUH$>rw|whY<8l<h<^Li5Yl2Q{eX2K6ZctgpBiK1M_#D_poTAQ-xS*nc!8(NHl4^sf
ztf@?105eeirAS6^*Q8b#HHj#TeSg8dL@s5ZiV!$AWXK~%Ns$9`>H`xgnj>wJ(hVb}
zt5lmE&2om5!~Fzzw`hGJ2VTBKx4B|Vx@t}G8yV6j!<NuD#au~^PQ!)K2|#>p4UClq
zj~x6bz~G_wtR`_qf)$5gE9wqcDQH|ixUzQtaxS4gLxhyw&gC3&R*83G$1;W<>xrCl
z1*xh^pW^#rl>*>ZTK*%9&z*xL(<4j9AFQ}f-3*p1hCj_$`=BhSE=ANxBz<Bwb%=xS
zksql~oD^J12AqaE+X5TLTA&zTp}MC7%T%5aVu*xjZaYa($)n{vx4Vp}P`5LUzZZb*
zeGG8ha<zWZR+DcSC9F9Mo?QpG-FlS+%oo7JrbW{HqmM@k@}35i<Vz<TzYxf;Q*Uy0
z2yu%LeD!<O`orq4-liR-h4dsujSxM-74Tnv^=csj#A%sOu~OCTxIfLt>#bw9!#3s-
za-vN|6FCV9P&Bb<;@w>aj?Q%<Qh6>F<>e_YzT9MRnA0^6MjUcu$EsY8?_N%QtDDLY
zJpmSL;u>DuUt8y+rUCw&&_yCyv7|HI4I*lx0mRSGQ*73OtTb>>R0D$;l7Myn_&n0N
zO@5M=O3?TD>h132s|AnU=%`8_VRxSFi`h}QjlBh!AN;(v8<p!SdYUNkFLykj02e3C
z>L>_M3G)Yd6z9Q#S_=5n)94<9i35_2V2iJ4(q4tcrCQFltgn<!WCCbm!NryvD<s4Z
ztfcv*krIF(QdUf-rM1f$129wo+9!kL8Iar$rxToi>He+`7<xmo(=6b1k`PaR(WG_l
zQqc_GCit@8$bvvyZ$C4>%<f*2_jot3%qk!LLp@jl?%T!MozL|jj5PAND36k({3i6*
zzBv5Nm`fFIdO};Eaj?@gHuZFP+(|z5cHJY1aRWn7P~9?3P<>9L@SgFCv4FTebYHdu
z2B7wE;{i#XckV49Y)98c%8rtYtEmijEGcP!mMax}1o*eDQYiJ3gYNr=VHh5-5S40>
zG7|h>Dm=#7*HW~eq#bOmf~-_J*(qn>L|ASQK5&M7{17ZxDX!_y9$%#2zdrokk-k`2
zRFk@bPb%#b`zV<5k$vq!7EImm(>AnwmB((SOpeXKZSZW*h?;BT-5igag0QS@XMf6;
zsZKNW3%~~Ys*`)e2;|o*6lbhh=wRcfQt{JcwR_M~h=`DYem3CxgQMVO<J)wTUhI1W
zyT=kbiQ|A9#dt|4p{91)R5Mhn@OWiU&9}M&eh8|^UZo~)#y~mraP|;PcjD%^sY19p
z)z*-et9`17DLwaBx7u0w{s8cZmw^7oQ9vcA4r>W9%#zLSXUUf5?bAD5%Q${Ko7eu$
zFtoo^tM+yLi&+}}T%Jt=YD#4Yj=#155zDHb6L&j&Lf0K!^vnPxW`jqB+`49d{;?T-
z|H3EZNWwF;Tm!|LhKj{jbsGRU5gqD6u+VnQG+|ird8+4~zR5lJCmB@(I0mY?-?g%R
z{7N?0^@;~T{(wC;HzY990RAG%K>Oh8FexXcx2ZC#Qp@tP1VfTo`D~tCX<uOn<cWep
ze|V@_ax$XLRHJ!>^$tk1<7OQCBeltM<2ka(v%VIojJddPE&7Tbs)pZ8>Q{g~F;D>9
z8}Sa3(w{TH>h{Q;MZ?<69B*4{3&(cRA9kJt2?g+51KI>q{s<Uz;SC88pt}bq;8r+$
zr4NbYlL~fmw>p2rK@dZOt}k7O8pOpTFI*)ZEZ{=h1U4U3ROr$e9baWg-E-SR<D&MJ
zXT!rL7;^{{4tgOH88x&!9z}^obB(RPFA)z8rrh7mYd=5QFoAwXIPl7o5(Nist~t6K
zLjIwDaa>RKccUj%EHJ%_m%`pl{x7|_yZE%vF7N02fpRE}{5Ap5qwiO}_wDx?eep_|
zydKwk97hMtDu*yT)-Z5}LBUh(o?jAsR3WIYuG@+saU%!7YQ<t^X9ub@T##nJcsL#C
zV-ERykpCpb-V2M83`YMu2D5r{G@Hj*E}<&J;-2$y@JtQwhMq7IMc(@^Ze@f+k#%-;
z4pFq54M|bo&hb!2WY7N+Z?wF$vMn6$gDrdC*Sg%5$detK1)P7k9(|#QoA5*jP_$_*
zi67kr(`Gf~^jfoG^5N8KZCohjK9_^fKKQamMV_q7Ak2>Fmw&}A<NPW|>yeP|(Y(M>
z$lI*EYDNk8iO|mJXAv?nncwf9w6}Ouz$sn(8(4nU)d^X~J}&2SK56Yredls{5Y-k}
zli#{_VxvI4uzgJw4fYnGVEBb4>Fu+bEjtAMSpZqgYB;<%fK4p0{zy+a6n57q=#o!?
z6LUGXrlx(fPEiu}$`g@vJ!9+pdWQS5P65pG?mB!Du%5l5zi@(j?LAL^OwqAc4;99=
z@_Dksw0lrrVWVVef&t9#%m6a<^-Z8Y8WHw>O2$%wI~uTahVGIyhX;Q8qMH82jBFcY
z^D-hIy1oqQ)<x5vua@?xN4~WBvEcbkJfYVnKHmEkNxGk;EJaCi;K1L%M6=}LWGRl%
ziyjHI@a{4teU6AhR!zvbnukibgp@xVLC&^-qkmF)?9LLy2*7VqPS#ye;n1>V{Sffh
z!Fi`ZG}3Yku<qfJ?*?Q8ghPb8N&Daue69X#IrlorL6S0=61NgnHDdB6+^+N#!qE}R
z&?B>6v%V3^D~;Ny`9sRl0pjHC!WI{>w+2<7EB~glN?39u;#Qm_pOV?8$taj3Nx74s
z1d_-GNuGctxCEZe6M&0`wf-<T@CDQuv`U79srnX4{*|CvefUe!OM-kFsh!5O;P3ht
z&;M4K_!e}ic4bIOAMK$Sa1=uC(+BrrU$o~FFsrd_<oN5&hz>ouT}0?)Xk{2MjPDEB
zkTdZSy8#z~rurEm%ot@9|2I;;@U;FZi_c4eO_Pzz!1YL|L{D;DIyug<1YV_EbA-m3
zmxdQ-SEv?o_6tdbCWh7bEgQ{<vO}+VGTm^+R1W!CKkWrAqgbFuQagr}x1X@&y*FKQ
z|NpcI)JJi@=q!LCkv-IieHM&VUFl$Nufk>fbzB#vBZYln-cCegRwS|~AKZz{N?#yr
zP4@6V4p91bpF@kR1*r3-2Mek*cQMY4$c5Je;NXqg-V0R6@WRGc5ot*SclL>aV$=QZ
z;>3((;86?#l-cMJaK_aMzEF!LlP0rvjQ%ky{1XvA&?R(xfoHXWngX!U$`0p8Q8kzw
zDFhr6?9+)!g8hwi9G&W>i!Do1%M(*m5}+(tOsBygu;<IAW%<?1bFyMFI(_m~!2@dR
z&k+OVykb&$R)9`bz_`i#-LLd*ea&lFR-?k<ncu?3TjFETq|bq{x)lU;CwVX(q!tE@
z`lv=#SgrvC(N8+c=tvk_R~%(;tuk~8G_c1vG4ECPy}RKey9uK7noL{Bs~Z=QZ;MtI
zw<ljYuEwuKgc^h?y?Ld7d-t;KRO;#2w)it6MBL>Lx2@+p-fY?V08%YXEQUZEiNe`Y
zZNDwa0sXcxmCZMmeUF3Kbmdh93OPJ@26Q}@^`Vt8chQn85Q@%Bb##F647Oc=dH$zt
zWv+59oNco6;8<Hulj;G}v0hGXA3j+AR*C%@F+--;bG4F_<1j3(Z8q!I(dT*S-LxIu
zL+!_19;Pq0hSC+PotTek_AyQRgg<qDi_H+vL4<_61&)~Y&VFuoGSXt2d&3P|zLc<J
zYT?u@4?eJ?oh(vvQ7<Kl&BVi6SuI42(FQYwci@z9vQtcYmA`HMGCBIf)hLl74L>`r
z*C8Rjo3B}-%5+pmpm{T@MreLALU4r!a)z&M3&SkKVpNaS0Xx?&(zX)rT8AhoV#%H1
z;HrvMPR!Tp+g%?n6DwqBNE%UqUF0-T<-Z~YzxaX>?*E;?q~Fc^1E!v087=}88~d!E
z<H$5pIbe2)7zN@uK!uv_B`HjlhF>ZW=@E~(%fq|+1;85f;qa9h+C~7Vt#2@$XrcWQ
zpQkcjMn=Wui#1F?LA{a*cQkgUOZ5DMRwdtW5roUOv9P0^qq)ws6xXbwoQ`03lg45l
zYGGVbPqL?Zvfk_BeF%^(!4Ew@_tA@Fd_1k#APsiYV})7?YIOLljh?P6zM69((37fv
z^V#MBR|`SLd_^#NfDiOR@jkP(x=x2+JG~?Oe!O9S>o()R0Q<F4kw>9fh~Jb)V3lJX
z%atZnnQm_MA6EQ)KK}$>*Bp_T=cIb&ZCQ~>g{p?ur21y18ctV{>zE|LG(*Adlr-v)
zy?)WNWk$<$-|wk^lXl$YZ@x@*n@i4=5R=oW-|-LM<_y+$T3iL3%~bPyi%damR@&s5
z54Ty)mXgwR2*Q_s`oZUS!r)#d7~IX9gWdg+%*a2x8G+SLh&Vy%AVkB3x2;_e2eWop
z3)y7s4@T{7nr>5;!-GoRQOoVE#pmi2r;V4(mh99hdqe-?Gp?Y8f93eP{(7E^qHj8#
zxT|D##?6+Nnj|9rq+v{ie;v0brEMQx&{5y?*(k7d{qOEl$=b~mcw2d1Z2+pbk<`6e
z?XCw}Bu-iT&!i8Qk#~Bs#BP5%Z{QXvOS}25r845>)#fe8{i$}*gEHLe9zXYymoKx8
z9YtudmXjf2spKjaDUEAKqJ=8tvs9y#Ny+&0(a(Q$!_5C%ar77om67<XPKxl7fM&Yn
z(KgGk7NhvNq?U47xfq6oF}?O=$&Iknn@c7FcD8nZbang6Dl&?37WS?M-D-nWbi#K4
zF7+{cB+?1?@?PcU6Jk;lXB<X1{D-LXG=UOd>=`pkdIFFUM9uDU<-)&H&7Pv3{^iIn
zs<xk3-8%X9^+yM{ACX)G8VXnQHsvVe&qU%-#@>2=<V)w^joKzfTS+O<MEaP{oMb<S
zeJ)Zll@2|l=o&8BkM=c+WF@f<rct>Qf5F@g%Yat3Q?{W}|6={kaD)t06R`Zr^>iKb
zhRiyeQ#Wr$A@RHVkynu-16Dw&@^_}_Z}CByb5R3`8tglj%GshMh}q4LH^f^pA@g!U
zbqXJ;v`X%YXFuJ!=GhW%Cg&(tDPugq%ie6+V$o^2jS8>IwG=ZBl%+`V7rN-sCt7td
zDh<ftHsgRA38ky-ovLb-=O7E7njevr*s)_vi;GDEo&^x_zI~tam_j>3Eq#=TCA(uF
zNlNfI@fuDT_c$;2pIP`kP)2rGGGS9Fro+j%Ej7_<(%;H}jeZmnA?q$Z?9Z&6Z>)ju
zy!up$%V@9H7FUwZzEERER%OsJs6lovm&wVfw7Vt;X3FZ%uKD^a-x){rxn-Y(csT&I
z`Yyf5JDa%NnGaTTFt*YOX%I0*jGRumu5O$U-wok(c}^z(CwW$v^s_3q(By~VV&lUT
zH*EnQV1prdN-p$Ig0<n0G~U`RnEfD(6#rTRE!~Bw#hHcl%~muF<@4Rv?QeD7JG~92
zW{0A!qgH4xJ3~C6hie*_s#5-c`|1nn!+1M~$qC!?XSJ2N{yq7wtwPzLqTZ!$!p#s8
zdtN+|W&$2vYp+5C)kUV16H~@<JQZk`e5_Ye)W^9)#3`;CC8!_$SJ#ILJRw8P*x{*i
zC(p-Y^M^zJ6#BUN&dkC##;=sZ6TapCgwDHB9%0cgv(ehMV9j2!Djg^51UV;-5`!@v
z&-)+tmaF;f5;ib6+FWKCj+X-(C$Ch9nf?o5vB^xJz>`7)@!}1AF9xkP1}&TDtS^hL
z5!(LPXu?Z~YF*yAj9m-C(wuVw9bZ3_zk;@BGE;W(wQ)F`XnYwpOQ0de55J-3hMUfB
zP3C#iN%(eR<fd+(u^=#@@5k%);mNY>D!Bv5<M^&Wu98<QC{rbV`dnwqWUL);A2`(N
z9cdmh-KzzI?HKR+v#2x$86X2*2;x4GiH1c)c&I9rKzkJ3|5m5{Bq!H*vDv?Qe2f$j
z5CHJK2nh&0UbiMjMtT8_P%I#E0>pBr7aP5i2_8ag!hn|+;1>xC8v+5yOFta*yPx0#
zbS=dEsmP<*^6mTt5$9Pu1n4`MX-x+hkbD5s-`~O*>aOuGI3WqLtUbTNt2Z#-rqW-p
z_ZRAK(Z^{Rb=(|cqv|6}Zwmj^UJo$Izc>+-5>CQ$G-goJ@fNHpMmPlGrIO_aU2^71
zWz!g+ovDWXoY5?K7a3;qI+y?eqZ)0dcizxYEI|n1&xftMm!f6R+vaxsZj^Wb@L>FW
zf9VOxPirj_Oeg2|b9_+YP>FkLO^4Op3JMFsO1UC{^l2a%2FdZ=;SDeV1oU6S>FlO@
z{<)Ci(jR!vcvx2CWcDAqH|=Jqs3I0<vEbz*^XL}Zc@TZ(my{x{Zgiwx+lksxZ9`z0
zZ7B1UTwD*9`|PLC(}J;{{uqx%zwmWzCujPwfCA@M2{(VU<^&~l(_)A90#lZ(jC(H?
zReO&~-G=oE%88)|et>@`Omj7DYkT`{yy}$l;K0C7r|qG43GY&q9T1?mI8i;`ohR7L
z0~FfXvN8?;C<Tv*`0mZcX7&pm)C1_IF-S?{{hn?CEifwTL$N|;IDlZ<{*^?9dT8i(
zgR|y+%senSC|=!c<Gbd2rSR?&R;-k}*A*dzGP^sivALP=FC4L8`iC<9qXoxJ7Wemy
zqEVA%LmU9>;ahU=s-cc<&S2y$;6%t4$G4lNcu)o+U(TERY>u_2emx?}5XphV_5-N3
zuu6uFypzf(zj8V%)T@NZYtY1XU|wn}3tK!F4q_Hm+ze5g+q5RTS(sj;n~yIoS9*1_
zscd=ax*tkL^p>|Nxo^-^3=0HvNhg!36C9@s`3X<m{jfjaC=ott0`%QvR3APC|F)Lw
zOIhZtJI3bm?Ix*(JN?@5E$BX;!rz>I^ey^ohwR)+thl3;PB)^C?`9~fIhS_r!I&vS
zW+vo!*+!buobjTCyUQQz8;QvPGrWewDSQnZILUIx$#H!?FO+sIvc96+HwjH}jm)^b
zZwbAe6>>#10l-P{2(T=9S8N6ZygiR#gQR3+BvQ?Z0Yy4M%~DN?ijEE*G!Zv5>&2DI
zmx)u(mqBrsa4T*i^F9E-zy11j8L$59ZwY5-4nT|e%bDgo0*zV_2S2j{G!D+nI&pMY
zsBYBZ!KE_Qct(5g>MDj1$gI$O^UjOtVtM5T6etINJ$RE~b@gmOvF51?kH|fZ_s{q4
zv2NOWeBhI^6AinGao<{6<m0`2el<TB=)!+kqMEei=JVPhE)u=s=1{HwXV~q|LW)%U
ziYWhrQ$uh07fkwydLFx%O+?<IPr?;d62VR;5_P>JKOm#u6R!bRV>4o}T^fRW$6v?+
z24t&}j*c~^l7J<=Mp<YJ-(yHpbKcJR`FSEKCZ?+GkFBFp{r0A^_>TGLOy%F{>`>Fi
zO8fS*<Sk_PUoY1^kGm6$#_Lzvc1PC%Q_>9xDtZ<e(e67&fB$o>Ujoc!Gbp`O`9692
z>$vdcc+nY~vlsVcenz7_+j1ug#0#F-M7XD7TfebAJUaW-imkZiUyO-^`xz*Nsj<j9
z8{i|F*8Prec3xfhTHlC4VyWh?C)3cKIY*%vw{BBBbp%T{_VM#w-lS1ZBYa(gxS0XZ
zND<B1bf?Soc*&L$H-Ou%2_Rti7{|iG+E$NP8BC^Ed*@K@y=A4Qh658^d#x-mDc5@q
zf0D;v#)5ik97wJn43*n3u+K>tZhmXVUVmLz1&O`fqD-DIMoiY}n$B41pxo%r4P5ZP
zny=dn_~ZDz#RC26RmS@pU+HL!CgXM-O#akEQmRqx<{#<yi{0eiJM}bRe(B^vY<J;y
zkx>$+jBt}l3$j!0HfMGX$b<4mK84Sm4R86}jNW((&Ewllf){V-w#%GCB*z8L5c1;4
z@w;6V+$&WpMwO71OiE1LNVIR%NlH!*ot#vz)3das8~@4)2=|FKOSiVSW0=+Sgr${W
z_g;L9y^&#|kO%xbk)wnVODRm$58xSnNoK}!yeSKicWtD1IX_Ar5PYgs%9EJEH**ug
z!ibmo9GX0ZWi=R<Q;WH2%LM$H5kpm`NMc6WnCMpxO=weav~3U3(BKa?&JM8JuM0t6
zum$j4%9E(9f~9lgLHl(~q=T)BcBsKVCQK!Qc<kR=Ca0CUHvXCqRSv~#ZSmg{p8LOI
zVH@OYpBc<x3D&|}438G6r%TxQCPD+9VC6)i`=-__a0dp@_`?>2VajQkeYnKeRfH#>
z!H%J_Gt%GVZ!VvolqjjFku36Ax6apJd*=*qd-TRBkp7ZIMSAxV#fKxdON4iTyCUcw
zI4lU8&&uJGl-zsn6C(OIz{9)Kylgk6UXk4y+T)y3t8ifRe{_>88Td8!BO(>LPUxTw
z!$qPOSyyqX^P-Z)8bsLGxPidhB(_YZ7H<|(I3D7`N3vH56TKjMCaN4LXXMDIlz(fV
zc^7R`EhTWUu|t3U{Mo*DyiiL8JP>pooG?H!3<3dsTU2Qk0Ddc;3UFUhTm?v)?3TlO
zL*Sr5CZ?uNyQ4U+CksjK2_%B<1G)~KFfoIW*%Kl`3w7p5ggmy|C+@jo7v%N6BO<ZB
zO^id0HpLmr2++GxRDz0I2Zp!((sfMv(>*)~+!aWDf-|z^qzaR57HaZYyomJ8f6=f0
z@SkWmp|uBy!iVt&Ui--@Yg2c$y9!x{Mf7Hw_GU$i8eOsaoEc1hQnj}*8nGa%-KmcY
z`~dduL>J<y<J1wIf#)XD6kny8WwUh-Fx#)<JA36M%)~th%8Djd8CfHeGt|7h{a?_@
z$Pxgu;m$HmgWWREI?pB`y*`*N$Mb)_lx=WWCk0(>#ju*ZJl<#nghXFIKX!oJ3V`c6
zeXfp$J<f<ZI5=vIdLd61YN5u`meUxBc<qrp4H5v$N-o<4bic>zULuE%AS_zNjn@5~
ze!wVM&MY(0WAyy!knLY`Zd5vnTDkm>f!wh#Qf%8?lro06RK#Nlcdq|-$Q;H+w~`GR
zc5@W7{^hSsLy%`WD(|}~?Z=(NQRYhJh^Q4iwFjuxK4<Y44teGM*)5(a!LpK86pQm~
z#mn)mgQ9U*30zmgvt3rJ^;~ryO%MdYb}Sv+vV-zF#A<(4vN^lRaB5N`$A0;EC%kcy
zTi6PoVFmjt?kHwgFzyYcX;w@BDHZ@PC&F{ts==*67$kl`h|VLwltENHi5uJ_b1%CV
zTA_WTlbaO9>7a!kQ47gpOaU2WU1Go9=y`ms3++5kFd8}tJ4)nGtWZuWMxu{!&-?RR
zXI^Z5GkdB+4NAR=5cDOr2VYW06;_d~Bao#0cDvdT4f9FJwOw^n+rPP+^-9gZkOvIZ
zZuH$>ZUfG#0l-X(Oe%yARCw@rbe=ltvFNvj0%aejfC&Czty2)xUc0|D^1aseP&Hki
z=6!_&g!3K?fE8e;ARvq{v_9V&j49D5$9;d}dsGQHy5~9Xj;6C2LjrE3ahNxT@+HI=
zSY<19cZZ>J<tdlLsq;>Pj7ZttPetUp>B><E8tmp{%b{g-IbEdhLH7Yy4f7FCxyr9R
zaq+$s-N-dBOd`C~p2HW5heuhJcv|(!_6XBaUegV%jWFH$@9cg%X?z|hi2N$f^P!0R
zFot!&7#Qo;0Y7b@qOWzaJVSOO(G2jaIr^Rx*gkrBydv&Gaf8bab`(nN2Q)+A2*whW
z;LIs+_vsxNtRa&>d8(=8sHrbvn|vD-1n2$b;Oi^}k%y#P@^34cQ_(2JrkhP+F^D)Y
zoEg5ZIPFK)?F@jCX`p95#H4?a&)|elXtEB)>v}<X`eOhAG7H1FX<b+zD@_mRsC{l3
zP9QAzxhvlSY!I%?x8l!b6-r9%Sl6O3r&y{ZaL#w4JTUu@uhh8=#UjZbMc1K79-C!;
zU$Ef|ovc^8$Ao)I*$KzHt)KTaa`Jv6L0c5H=qTl*l~YB~-xc<YOK-Bp%y6@}yi3k#
zg#9e~xE*hom_fCc?me>;B{)Z(#M&&9UrgEw*DReDkqI`~X7ltU_$NGOZ=le(nO$7-
zIxO7cyZ2Rmab^FDe90(*iNtPXx-w3#d$)WEN85w(c>|u)p*te%_$x$Ux-x``goa)_
zj-3Qdk1;h(g#rAd=sc7iRVEeit1Il&T@w9rEMsxC>053@?dx*o$BraD-?!1lQ0s&8
zm&@}vBIr29knc|uMoVhB`*5XQYDBwE5*o=p=!Vxm9FQ2oMENqSMh9`XcVob`lv3}+
zSF_7E$GjA_6UxO7W^jl^NTC95z<258J!rY;(fT7C&VpiNd|@HFJ^p*yL;?nQSJi5?
z2$(@GWUg@%h%PN>I}w1LoOphtV6cV7&PHD?<3jr*=zWPLp#R}vKaYY{CZJGmy7cc8
zd=+VAY_j|~@e4Pq9lxSQ)laOlyqSu<1b-^Qe1&F5^-_X^3xASDvXBYCrAPz~FA4_<
z96Vhp(zOApD8AdzVfiBzH0ocXA1Ox7jz*-5Btm^CXp|16A_=V}Qp69dBOSRWfY4gt
zg90wNe3XVuoyJ7MoT7h9xs73~-=4z%K@E#RQ9mVoQiDGqDep#Ay?r875xk_lUr)dd
zUv?6QBia?2zL4p8n3C(%+U=cXg_06OTiSueuy(nf-SW-U?fkp?k4f=MrJNF9`@b4a
z;mxgSj$98`$xXwv6h@vm3g1F;SNo<sr0}?Y<H?U1#ZpjlzptR1)!Zrzw^!>7F|cbj
zjMUi|{E32^I+d}!xZR;u3C(b($j4o)@vJm2%3F`oL{K<0_lJ=P=-gg;OB>nBPVz%K
zQZwSYy>?R-c6JA`Vq$@BFBsl3<ml@1_Nx;;rPI8VEh-wJ&<`6Nb!P@2$y?C)+ZbVG
zJr<QZM(bh~p_YCQV_{gXbg{he8s~&FjQ(aNwc?`e*P0HBoEZ2;-mA5{9^ANE$UpmH
zBj<SQ#ka<LkiJ1*ra7dk9PcLN!?A39oS_B<#yJgPy0V+R=MjnTUDv+)KJC_fx|tXX
zHJ*ETc*v4F3P$G{-H}DqJ|*;njG8SyDIr%$Z9-rxt@F33Dkl%8=76h?@V(wy*}fjK
z60hluH)Ud}qayYAbSui77R{dKsIvM+D8$Utu9KPlGFmhTMgsygB;15yN7$Ga)>M@n
zv#0D~k~lve5;Pi{W<5@3z+#9(j63L8qvgGamMbA}&4WvI+H2xD0-kad;QqINO?=mW
zJ9W>BYTHn6XZ05%h8ntU@{y~I>x+1MRXwGrb|jLJ)IjzkEDK%8xVTn9!=RRHcJx*=
z$6#lrL(xdhn<G*2*GLX$$eyl_o>RU&EaRwX2#@|(yoFP?k1pYcM6JF*qa1`;D7dMx
zYmI_a&GL&L1--heEHS>={5a$Oe!94ph6lFVe(4}RsjhYt=ke;%&&j%^<wiBDjZ02<
zsJdJ=fHqOWjU#UIv&x!!as*B_Pc$#t<-BnIz{Lt-nKO%ecSvrMsfglBij0g{4eMjv
zL2zW(Z{>RN6yF%wn8j!!JcrH6c(sKZOSr0RH{|a_bqEoTML#tXXzsgnX?u7l;hL+c
zO&+ma&b*v8HBEceQnl_CkILX*aHf~WbnIwsV;-a|fviaoP`rB2VZSOjOm#!Fb;F!#
z?AIgd0S`@0!B2tmSwug9I=2cA6grC{(~Y4&StM&3I*Ty05#Gt>smIzbE&0CB@I@x_
zzej3j9pInYK0FR8Wqb|6MGNcys&TR1UVbqa(LD|6AGC~t#SkPW_HT7wkZm^r>QZLE
z>VCrkJcSN_mU4_|zq#xYFx-5;#2s~`JJZvz<RK?qiywk}z(qY3Z6rK{s~cD%gT
zI5BX6r{IRVJh<vS$x-$BW3+^oODRm>|J#GI1?#^)`mxDQILhhmG^99_8xOc<Pgs_)
zH;lzAf7+YNnEmDfX9ZS<dqu(p>dj<<8Wc!OMvmsIuprr+t<Y9c4x(Iey0R0wWM^?X
zRp^IkDNEi+U-d7-g(Kf)+F*o}im0Y%ZV2Feqr^3BQjrPW{9vWCQ>jYFAOj6Fn=7YF
zrYm@ET67|X-7;l5R}0Wz8KT2E2J?}RXFf^&l4fI^4HqDzm<1V&!b%7X=gO=Q>8D0!
z%EaP$b%*NhJ~6|wd-X`BD>swi+KEDgK2|GO>i=S=UMei$%<=>OQ?Z!w8deAQ#VvXc
zN3)U=a>IU;7*yE)Y#K_IAO)jWKq|+<M#Zh2Rl61`o)TG?EU!f=LO$c87|;^ApAai3
zJ0ts`lSHODiWSqwD}g3ED@)++jbo{kK-w0YAHgE|NiLje%=4@hjL%U@me)i&9CR~v
z<X#y{m#D?LSH=F*465S~S&EFE4}<ip;ZQQu$3!u5&!6|k7T9&aafRmVv)kJ#(S^|I
zqJtgQb;6hDzfT<++L5QRrRMhdMS94Qqpu|4_{8`AnT`x-MDg&@f)0iY-_3o7$QF+P
ze<yPTUdRF#Au;k6Dwp}w@ImYTf!FNSRh*!Wpv{D^WnfQhIyvBfb`~9o1qQbv5q^TT
z>X0N4x!9tZhDRfk3y?k`Qd^=EP8upN|2uNzt0SGQ^!Xs~TIvgE66@(!pigOtshmud
zxv-H^Sha);D1|wBz*?fyfs!gv`4>`0_j#~wcLtP{!7djdc3=jnwDdc-={#0E*FfQ-
zh8>x)u>9z;gy$nOz6D`5YV_ZRq$OrKU74FOy3esVm7lj~#W5aA>_{ZgXh#Mlr5<h*
zy>S#zaSQJ#uK8o{Cn&eOldO`5VjgqcC=-!xg7QU>XP!PE{Qhv}lRp%ug!chX)A`<O
ze#!EhbcwXmn`ba7n-=LN!G*a1G9IEbF0ZSa&W_aOKHv-0dzQ0T|KWLz*(lcdIi_>v
zf9;cbry0T?zHfo-0<<FW|5}mp%a^auE(erlTIHcbDIqJXBtT1&Q!x`2zwsw{Gu!lv
zwww@m!`y{0{M!y(8Kp|)$Jr_=iT`CmlS*|nz^{bVC@p*PqP*-g!$WS~YV_f+d}wEI
z)Its?)-56^(Nt}j{vfJS2rH>bW5&f7rS`YDE<O4(X2){i%p9`YNk)sgMN`EA*JxFc
z_8Ltk%zab4XTtqhQLv0ib|dPTmO>BQs?YYN`DYSNRZ}^8edi_73mtmCdhU<6VGceC
zD>Bqa-%ILda1m~bnSTtmYRK4AU}hKDN`G92Udz7)3U2T5P4s@{-*((07NkI~Yfs%G
zW^Hf9#(^ySklvaRU3j{q@I;Bie*6hARgzbr8eQu)6|>h@U7q#I6{lQL`9l8Qk`Q=N
zQ3QN$M*=#bp?PHq3GMAvKnKo>Zwp-J{RSi%=K3VSSyXEzL1I0>vy^y1AdwTC!@V4M
zXf#yDef!XfpM!}}e!wH>B|+Eqhb)Gl(Hg4Qt0(!JYVajyy~<8`_hu5Gt-;&DwRDA8
zJRD@U%*2=C4l~B`7S=zqufJ3+(3LXTC}+oYgC<=+3NG0vgRf*Vb)Q+k-|B%#Ytl#`
z(g?nkn0L3-<wO>dfwC{OFwq)^VOnqpmC`SkJ^L+l^;D=N@D;@U=)_d9s7lcx%ii1y
z)8$J`j%4As>D6)&%UIk2^54*R!ZzKjK~vKaMw2ZcEADOcfe%Ut%MOepjslZw)qy0f
zQPiMG!^6_YU+CONenx*OgV1sC5lGZg)oe2F`{zoo%s=y3x?JroIHPC#qJtcTpE$0i
zuQkL8MaL~~5&MKB6V2oXdke5GrXInPMv|`Zwvnt8RlVo)?)^+EnuteEHJBMBt;$_V
zD7q%<`L|_4iQ4Rsc#0_KUKMMvZ(W-=>^_d72V8{2?Sv7>BlD9Vn4tRwn<duwP%h3{
zQ@5>6$|M($N3676di;soTs)c8Z*L&K&)Q8tQi!0S<9v(2R|UqgP&wIK9h9LGelWqQ
zkMXF<(*S=X#r{3NY2ijJ4otPdDE%pJE=ydK7P+k$ogWrBfTDj{`IewSU-D3w{v!Yn
z0qQR=mKYOnLC_t>T9K>>GTJJR%kavC)T2wmgceF@0LZT~V#>!7TIbe2zQ6mF;&DGT
zMdC{=#7&n|JVbM+#G1vBLK6b8200@9m~(x0^r8TfuUe~jzN&T_!(SoyP9;x!zRk?D
zG2#~dK#7F64Mockjz~L38<^U;;<HzD{uE%M=3u;8`oibL2toUO>r%Bo9$&Az^z%^>
z{OxUD?C_&R@zh4PXp_lo*ER_B<=e$(Vi*1-195%$-SBj-V03GOVSNAPm=h?_VHi!^
z+^|~pIKTXUf1G=Ox;WpX{4xFUiYC3%9x;m=T}aIL>g+tymlE<%_Y1zk`*H0Z6_<Lj
zD(!eaq5yPLVB8|x`3Wl<BTTsk9Hx?~=?aDA2Lh#e=j`FB=qp+Ft6%OFo%kVFrJszl
z_A2g1y9FD<iwz=#_gPH`H@6=S5luZke)ANV@BjP~r|fF2T(AD5qB*W#PoxtE`{q?q
z{=db-tl;am>oxU^osNPwU9#FhsGRaq1BxXKDDqQ#pl*@b?D6sz8WczXhG)X9sM=GC
zrwj?C?XlHx)W}p1BWS|1aK&A&RrJEZ%p)^MNlitR;9<RYRs{@D<aPNc641rpEQ{4;
z42Y<Of9<kamqlBRSzw8oi}0LU^zctIQIi^<to2iZ{u<J&i<C>={}9SfDUDn!YtrHd
z^@NR&P2&EmAGs=OOZP$mZGgFd#w&qX%xU<No1J~soI=kNqc4jnZ&;6PlXH`rWg>Kf
zAV7iJPL~C+M+3h-k)=$z5Ru#`*ZC}+3W6K*2uXBu)nEz9DVaB7g^7QEGrZj_tQBVO
za<l2k^^2@#Ww}k;YLwWzYumaWp`0$cAn`Sod(gNHuS=r)jpe{cX#WBvprgGdvk+t@
zLvtvGqo*^Y=U_0}Smn+oJIOjk<dWASc(FfIpe!9yr6u8~MNdF2i!)$u#n2~zGI$_>
zTFQ)mB*(Z>=~6A2W2hDZb`g%bm}WJCHtRH+#US#ruM$PG{*YDCveX<(UNqy~Mh`DC
z)&f6hS$Ksj{=U?!cmJCY`8C0_Jwi+Qzct5r@VRo5z!hKMLB+#ES{WLUj3f)l#OW90
zm@>Xb`njLk80bj;xE@LIJiK{$o8T$ex&u8mk%2skZg!4wQn&-8`iF-jDNr(7+8H5x
zp?b+;-ok+m?lA4`duSky{vInj{_$<TXVqrnd2W`p0IovrX|&MjO!ge&H`Srr0`wrd
z&`BUx!@5!=+Qa~49l+T|B~ED?<zJ?OR}MgN4lh;W+u^UFF7mzN_q@X=%&~c8oSO=c
z#gk<(1D(o{Jvl?Vru2xR#9S>}K}5=Nsh{+tnbEQ5X~ondvrr#7LIw!d6A~Q~+cJ@3
z_}|uL@=*zB>KSq)rbLPe_~WZ_ipdztX7fz!E`8Ld>`JEZh2qUV_wq5~!U#5HOPzQ9
zp3JwlJ8APRRsJFphga?Y`({o3h>K&7?0msxNM*+_q2<MoE|*qOlx}H13SSI`8y+b7
zK0unPlCrjqeDpMZ0M6BinzrLihmU6m;5=*v<@RM_*ZWGlDV+x-@i}dvX|6rj4RV<!
zS6ObdQU~#s@5B!uKX(2APL{l^?Eir=8Q(|qlrIrT`HRwVz7Us;r`746n-hQ4C79uJ
z72aP3jhjN#6^+aK;`NUd!5Ny4d%u?<!`PpzebD}EZ1P_pNBRx{m~^$Y!adxoXxn&n
zJg_m7%P#+t1_HTt*d$fY-&H~MROPp2xRu9x?+S4I{;DTehjf;yi9m71Rcfsy>LwiI
z+e!I7#eAshbDHw<I+;R9@alh|h|#9*7zAkhtH>^}qW%LG&^!3UG%2Pe)ny-!TH7)z
zTYRPhyWlpIGj#4Ot7IVbsL`6lK@_IKDJ!=mQz{@G=&7Nd>?vlEi1YtA>L&T8UipCZ
zFCoa0?vT%HF)w3R4fsD!v6?hZ6=n)+nz=6)pCCIsW$lzyhWla`-ItvAgbWTQao?<$
z;Jb5#c57zNN~giHAp)R4X7+vJ=4ZtDwD~OL*<68+Wq0#hb7`Tnd&^$U>+~DQudeX}
z-J%Wcy|hgm%m1jJPGVCaJqRuM2#ZIZ?Jd5!qxb?b)1^<;v~$o}_~uH+W}~X(P(~2%
zHFBe<Qg3UVbeI#^78?K3??jyrSCJ8BWE!fr*q)M|1ty!!&JIoK`;S2_GMHB3qXB$n
z-GPodj1G59bw4kw85{FJ?e|gU#6ORbLW~ku(0j1-M?%Zed2Xqj-5b^;FpmEIW{E~)
zF{$y<#4z{Aecfp~$DvIG!>rR`*t{d~C8utG3GV;Jp*z{?u7GT(g1#k_`a%A59m}6o
zhPWLUn7vur+s1Z-b?JZbxxdm7&LfMbh}FVSpeMsHcC8?08^q8WM7sjx6CLPV941qP
zWaxV;FbXdj8{4>?PBbsbLXEGMTe@g<AGVi~7@hc!VL`IGK|)X(jHOb{IYX~t&tmg{
znw9QR8_(r9-iTS7Fj9@9{e7bPE8dmSiSal7^Xktrs&%)R92}QJZ3^j}HKHO1^F&Hq
zHqpoQR+gIF(A*3U+nO>o28Oj=Qf``DYj0MJn({<Z&9X9EyMO#$JUkenDJZ(MZ>M8W
zt=0pYk-DFE@XIUx096q_X*ev3gi5yx4m9i{x0jNr09@3(n%-J<n?m1Yotoc_4RG=V
zXuD=JQYgkaL^AHN+@Gs>oZN6K+W-g<7O6~slbg{s7y0I>9gsUg9}{_n;{Rd2oI-2(
zgeMcgHcnwDm3<l6t#?@fb=OB0^V)aNOxFLCUAV^f(b>aeKS)--1lnApjhjSGsUspl
z<20cuW$CAe7-PCE4e_U_-lOAXM<MQ1Cav{i0nkRmG2G{woaVW})ReN)zvZ5fdC?ZV
zh|%KidKvbbi&btq7(T?*=B6iK^j?hV4NhiA?aITzPL}BJ4R<9f%l38-_3;x;>drY8
z%ZmI!7*UkvdI_wr(9K7w`1W>n<M)}oTK~328gF8-+#r|34ZXu}Mtt~lOfl`Pc(I5%
zk*4M3m>;|S+_W+_4DD@>xSRxGhO2F$u>-PH+VIlmtid@2^VH>s<v}d1+J|9%km-Ry
z3zSgDn0@RhQu~|~_-+!u;Q%*2zujbIH5-l)NFAEfF~XpLy;LKG-3^wZg~4RMDBLtc
zJ0X7z6*tyJ<cv%!<J18FpkppNO*S*5(>NS$A5$0*`Rta;BrpH@8_cOCHA=?Q{NQ0j
z`GOlGVVi^t8FQ_y19L%Rv|LvtjZIOnt)}Rf=6BOCpJ0>qet(*`ZcH?1H=Rfl-l+|U
z`rC#*>apc6WMJ?FXNCpN&To(i>z~}gRr&C<#5d@#IDM$1OkVsUuz>__ZX%JcEA3<s
z!_c=0CfENOd(EqYHYeswv3)2nbS$SPVwOAJv-!C`;9PQscr55VOvTNOMCPY%*<m&U
zUR@0s+<I*MkQLJ!<WlRT-D>RYFTz0#4^E>zMWTy={xoz*rRBJ5D>RYa5r0Kny`Azy
za;n2rxZR)SygmA_OA=V^jFhYd5M|+WZqqMR@W}f)v!L45zKQ40+pziVGFr~&BhX9`
zg#pl=O(R}M$7vPf6<6%>uaZ~x3jfE}TSry(MeV<b?gk0zZltBVr5lv)5b5rg6e$I1
zknWW3l#=e0knZNU_`dJGcieIBA4eISaoGE;y=u<&d7inpZXZIe5N{Sa1xbob3R2J3
zdHauv>uR;7f#{2}q|rzz7QyP?Ve?ho{1gUXQ3|87X@@mkV9SqC?4vi0$Y2F;gjJ4V
zgAY-Jh7c?9g{WJH|0u7iav<@rLcO_Lg8%t%qcdwF=YuRk8=oU)Lp3KwQeaP|?xl+0
zbT%I(OG%{{rCB|ZN~VHbm;w#M)f(b^0H0dKCN38FP3WI8B$m`De{cv+U?}g0V1`e=
zh?#C*7@7OFasi|x(Z25|n_pBforu`1*r95x7~cDsCanTrrem-{q~f{bAgU{edp0u6
zqh9i#Va9_40BR#_Yaa{?j90d~D4PcRjFa4tezmcUFYUCHjJKr<`^~Ru)9}#z(}U;3
z-BaYeAu22#_;GdCLH!F{V&-HO9JUQyx;KYPR&_)VhCh!$Rv`;IYub9eE$%VyGYQjm
ziGgzC_Xzd-Q3!+|%}Tw%w}hTK{Yd~~wA4?vyz~{}b(Od)uL~ALUO7Z}LavT_Z5aoK
zcyiK?w0G+ju6cJA=iH}*Xo>H3thCN>#{K1gQs1`mW*|F+SvNNT@3bH%C7o7Gg4TmC
z*rU>hl;`P@Z6OvPh_VgNznjn1fRY5e3Lv{5%^Ft+;(1c5o{)W3S-)eb0>5Gx`PWjn
z=ky`;60{s@)<l$wG9E6eNM(5266O@OTD69F*@2W2Q{!=Q$#d;9Lz0WtzevhT%WJIY
ziM+pi{p%Lb8w?3glJqz}3Cmqa8xs%HajdEj*N>A7)uCA7mnW0935f8KYRE}`sK#e&
z#f?PzEnxB#2m^PxU*t%;u!hPY5gW*9oo?`c>jvu=P3ZW}Kxkjwwk;iv>tZ5$al}l5
z9QK~0<bHm{7{Z=}RM^wNeY-|hWR6c+L|gp26|!$!=nN_}B=4sgrNEyp9hswchYvO0
zv!PSSznXcIsJH(*ipxj{+xe`>vtAc$p!QZf9l^KUOngH1-DEF)7-9Wtq?^c#x6`NL
zNfeymrH({ad={C91T84j)chJ+EOcX56XA<B&t@o(NtE;_%QL0Fs`ZGTTV@N&(O!2E
z)5jY+=a)RG)xQZY)X3c3w*#f#6&^vWbCBP*Kv$*GVJ1dr#*v0rOhnLq=V|q}2ozo8
zYWBNFfa+|sTB*x!Zax#Gv_NtX%=bqf^hejpH;=d5f!O1S>f<Nmg(e6i3_R?|ZV#3T
zntW5Ii2c0p`g`q=la${VVW1krt{&EG+fGb=ftX(2M6B(76f9X>V4>c8m5Aj=IAymP
zzSn+4E18XV+yZ<aGk&xr5hOL@Pz<Lk$&&T}@1p06L96r+3(84ZCOAsTn3y?ujR+R(
zA)de`c<M6TDXBe{0`D=Ia63oZbYusj%%rYsl&3!DGCfnLW~I6M3s}gS)_sD$>ef%)
z$gvolY`1h2&rM3EQ1MMIt_sPpj4v7@>ZZy~6enS26zAK%adJ+9&j^m~7g)~%WOZYs
z)fMjuTT%Dxo!c>@4X!jxOE2tl9GXmN@E-IN@=cgwBD&IzwRbT^G<?%HyX>htER`ud
zz1GsMXULs&EL%?2-@H2zKp7}#St|@r2Z^0kldfq~6>(em{W=cOQkCVH^g1JXeluTZ
zS<*O(N$wEpq$fcQ%Y(R%ED__28+^NZ+kwFqRMEhSYpak@yKpUa1<gK_=AfyOZQ0-N
z(W4HZP`a23b?A{R9apVk;XHDk&ldnEla-F`-}}^`9oLR8*n(!3k!6$QbiTq`<EJSJ
zfF8`(zDQuD5BE0*-C!qB;$7ieqi-UC?C=(?u-h};M)M^KbwYCJfj^&#WfRbg1}iA`
zW~gKpNy8UUKg54&LMBpt69m0eGPIqVi<NSLypdoa7Q5|JbfrqZW_*=EQptd9Kr*wu
z`~fRbz5GYi@T~H*gKpHwpR77xalfO1M?#c8Nz6W$co3t5W{D**nP9MIZ%~|bzBz{y
zRmX{Ef(b!sVq*7*3#0b#N<7D}uJL2I_#D)e$eTr9^k!GT(`whC_z@7@G)(=`LNaVQ
zUJ)W)wxNwL(@Mm&Nw-LoMTStAWT62DICJa6x`aTypCcImv}sBzk+p^NG-|jUt#&Pc
z@LU5SmVw$6jA-DNNb?*s$7!atn&E}N+EYHKFe;?dtRhS)frQPBiq4V~($QZda*+Vb
zcTMfQ&g9Uq%f!A*4aYARXi#0mN)n+^jhzzHSm@Kct!b#YF=<;`tiZ%jtU$M@k)oxg
zks@tTtT3aJlJkoiP5r~Ts4F|#W=mF^*@hD>nIl6_ubG^$bwt#V%w_1nj_)$`@xNCi
zKg>nC9%m{unz9v$*=RX0dp#YN@Fy%W@spG%WQ&K3uFI@M;(5`f`cx=cV{$Eqo=69a
zQJQAA_JS)JZ1`!F$r5ep);v`0Rc_DPRSMbC#I?7^5$zg<F`}-OnF>hnY2>QA>r7T?
zL8@A~8=OB@(B58KUT|zo-{xjd*qmJN2RFL0W_(N&Pq+m|`?}n}Na0Pxotf-MVc~0P
z<qo!M`PQNF2ct_o-&?g694O&)v%WJf9=10XHISTtVBhf9{}73pf8LeQQJpMt<wf*P
zz2RcvOH0<oLP|qfvZ>jts9S=yTUZx<M=yDmCpr0{p2)AW<F#_Yf_OK)WUuH2+BEHn
zP};>*)y|LdJMN}4;$FmXPZz=o_pIUNZ(-db4XDyps4reA*Ow4{RI7N%w4Fk!zcw{-
zKqZ(T%ordrAmo~@YJIQTG_A*hQFz{8zLD0TZE_H<ywQsH^^?ySVcwFw%%9jxOdT4C
z_SjNS%kzUy4nLXMj88i#QtkjD&731+5}`4%L6(0x_C?w|4)R2Wbx}OZxF-F=J$?3E
zHdp@D)2?ZcNHIq3U%2R+yzs3Z&MRL|BF<lzoe?71FJyjfu_nxTqhl&#t6%W=gMZrZ
zeYtm!Cyd}Y(N_MI{-25jUZOe;|8|WsT|!M;E!O(?trpWzkhJ6?iGih<)%JxTg`ef?
zr>DN-m9F*#LTIv$$r0u?&pl_#vlIfs{8hB{vF%T9qX#GsCrWLph@bCko14!?fwF)`
z97^FCvw9UFe<q09bLTmYy=%K(<rlN}*9sKa?U-S0Y{%0{dlztbPw-S~?>16Q<!*L!
zU0+`Dkx8^gsR4t5V#0;GbOg=rJ!=<{|1`+MP3G^saqFK9WGf`+zI7DW3t2ChQG8r|
z*ZKX}Eh(!GI>)`2+)I1p$D(flVi9QsS?s8b?7i_{J?6A#hG)xmQHR>Yc>;Sc9<kt8
z+?X0P5M)!?mT%AykG(&ZCnn7dtcTjIT6N>q-s)2hA6{QBPKizbqKG#qtdaiRf0gh3
zenHDvPk0J3uALwf9IAHi7Rhv7QXlBL!w!qAMyE5^v6mWDu+_DxBrb$7GB6<F(7x*+
z^M8QSO=kBvF&g<HfWNZRs|@{)76%Y(<?ow<K$+BBht;+hH(_yc<epL_BqT(1^u9*N
z%@^xNVm_yy>{x{qR<WOdD43a1fhq2b<t+qqe{~2bS(5bjs)HmW;b#Q7E9g9L6bo-U
z2gas&nIu|6E49W_)6b})GIj(CP1YO)T%OOgJ{r5@ocmn4k|7yiT#C5@(A7=jr#;aC
z`-byH`c`Ex@`T5NGV|L>!DRf3Mo4lHDyPKlfl7wtzTHxWT+52a=#BK3>jGAVD_w;t
znFpnm-?5RI{%uIk!X&X6{8xQFA}I9~b{QcUm_Hlv5t+C?lCf>La|85)WF!2Tk3Kya
zU%qd47RKRSeR$)Y?HJ*~<BlK+d^qB@_^l>;Ovnt$zb*^SN~=yc?++Tfj6SFidRQW@
zYn9-<6TQ!}f+cj`jK$*zGMo5bMx(@6+`PKuMd%L*bua{L_^FmS@jqkK+8wua9KF;X
z?>SUg40^l=w}%t&o!u<Z-JY?~AdMam#S(4of8cX>;;$;_ao@+bMn3AtcJEq?f}TJw
zhi$`K78@Ss*0)-Mu~0ISO}wY@SCM<8taFzuKH~MjfgV#ztQc!t%wcHNu?Uou>L;gX
zKI&B^nLiO;9yXKRyG!jfPXZ@6dHH|ePGzeYd&_@OOH)B36DH<$Sm{Y-(Ko8nd1Et0
zA5F*!4=V36)Q>bDw?$zH-$2B~#OCU3@%!S);sCEi?0tnh;-N@;-#wnMfPb*6%*M2%
zxbSx@GY(i!Lm<#FFrfBxz%9Aa0s7z#qK@<_<)wFERdf&;wQ@jy$(d}zPoav0Y%fJ}
z`U+wJH?-M5lj99yzPsjxe>tA2nZ`W4b|=`X2_b8DF}Meh{ho_ofB%a$IscWbG~2Dv
zb!m1{B3v}G02836Se!i;QEt9aARwzS((@C?k6xDk0>Q{jp4RVf7sF1^4-)AJcP9y$
zo9FvGzS^UC*b4u1F!(YgrIB0zsj8Wvr}yTo&wgUPqZ}n^4H`u0&ys5BV=YR{0RffA
z`f_Kbu6-(xi7>jo0Fsp%fuKw3U3Zk#r3%%%8!G}~g64tj^ducA7Dah;aXcKH;F#CE
z8*81xR*Us4ke7n%yQ}RY7GoJP#hN9>L%?v?r1vx44X7@^w!R(+NJOKF94SN$jQ*#`
z`*ZD-V(o_GiP<9ca6A13Y5>+lK>)ujzj+0*z?ec()D&Gru9R*r-xvSIpo;_FTfA~V
zV|Ad1oOW0|ynu%|6r|hy)Yk$PXCi-nl-lOo+}ynBw(&7P`(M_4@w6Zm8I$mbaJ<ZN
zm<Y`sgitt#9UJVZ(!L$DZ|uHvJ2#Jip?6XFYe83COgVOzOB)t3&_9uoQ<7hylAsep
z)lIHiPg%Yi)L<>JLlO4AwDj>``{3eP%UwMEA<lMZQ=wI)SCx^f3RHK#xxe250U9|6
z2X-~{rfBxSdFX$@_C}-TRG}&rc){FX6_G*PsKG<vgO{y&IXQ7OOSGg?SU*&{9qMs7
z7=uY?a&nTmyt$kFc5Hn>8(Ie*_n#CbKx;OAB<IiKAC~0Ja(jJpdh?k~zTmu4W>kAt
zr9x!b{1}i7UYtEdfe3~D5<T01ujNNukXdMFb9=gr+rJF4m3y1ioU>R&_9#$ON}q&R
z+}QXQ76CzkCvO^frN~D_MKRT*(vYJdAyEv!++}ulcCiZ(Y(PZa+<0D0w+;Ot@#2K8
z2(&5;VxVB)aTj+8IW3HU53Kty7Q7KB?CLhc)P8l*D-MphcO$y?A?#M`KK1Fp<6Ha1
zk8cS|=VR$|xT^6{`&J+j=TUeoY6e3p%~Zi}fy?1TProuSQFI1${Pwv}C|KFC^%x)n
z#x||E`NNY~>}@WRm>fdDC4c&HVo>9Cj}VSIw}y|1yms$PvRNNDH)dmM`7KUnYy;bM
z78IjwE|>29T~I7U<iQJ45q%KIYvbB+U2;toJ6A<vdi&+N^XCrbrFP3TIQDibV0I<r
zX`2hsXvVG}jr?pZ*OG#b*AS=oEh`8Sn_rs$FIj$-Y6HcW)71#!^S-m(BcS~0f8BpH
zT7`0q_7`(AHrigsF5A|()##-5*#IrB5Ch~U6Xr*zMb7wKy9q+3QL6eqVL$yH=zVac
z7lgNrGmx%{y;N<GtAkc%<W<SRE9PDG!AYQAKIQlQWfyA+AS3|f7EQ)Tdt?3vF5tNz
zn%z?QoN1+_2?FDQ>v`;@;x`UBpvkzMoh~6>v@WnWVt$=4mPQ_~wo2->OE{2i`Sz#~
zV*B^nNd8rASoydoI@85xRI+x$cyoW9k%`LGqeJQ#(KV%HhtJYlv4q`sb&eo88Fc@>
zP1!xnFbl&@>vfAywAD;@2FQAufT#ni(zdsnlU_{d(?98IAqO;koBZQI>@pR_3_-#%
z;rj!U^Qj_r1khPzWj~>g+WyCZOO`W2iN0XqJtKU=!Wqn8Q&R_gZP+L&q4n$SnoLQ9
zJLB6w6pAkrBpla@i!46sQjgI==~GhMbCX-~>THOLHfa`S`6l!dv?i!C%R`S8Rfrvn
z;FCVpWS#q9kGP=`eLxvl_^x7yB&$GbSj`U?<kU0td&0v)6c*ma;d3a@LWdS$Cj{z<
zG<$d5;h`YOVD(de{7IIPDNKOFqg8q$<Ox;d3}jn%@6Sxcyu4ly=PCE9<{)XRs9**K
z1s#2_0NkmpoSYc2n_sA{ddB<Zd+!Fez7dG7rL+*M|A^`SvYfd&o%c;nZ~&6l*fwnZ
zL=hAm%<gru+kCYH#4v?w`9mMhRq2fa4$$OQ)h@s16{+p6CUxc+K|*OY7T&{*A84X)
za|tSp@V$<AzQ=Z1+0343fN@dmutORcd>>tUF$URoYkLfetu!8p!&M#N30zS6gS8m9
zbwzBc=eRd@l_jSt;s>w$66e-VxltIWWzp21)k+GNC_ZKk^wfWiaUPCa_)f9vwsQCu
zB+ZZPnJw)|(&wtrWGh7wL`GL5f8N)1&WZh~{FLM+zO9kT*RVNIJ*5Pvn|bGlx51Zn
z-(_towm_lsn7hBZxT3CGkxLN6u1Qu$qtxaIu6KG%PGkYH_8-0B+U{vsU_2-q;3Mtj
zb3RB5+7*{AbY0@Fe5C3J#n+wi{NLR>5(~D*%r)#0_}!Vo=(%IabZgbEk!{2!hSZu2
zudv7Dd?M5R=s_fZE^3GG6eG6o)C>NxIqMp03<N4AASl~h4=3wGVQUEhNOy-xmC=jn
zYQN~`S?|_tg`rG^LF);y{m%iiq?7aW?(u91sJTn!pGrTvLXdFAt4w9WlL}wT7=Y^Y
zDQt#)02V%{vjdA&m_bE9hR6d1fZbYUdQcF*`$JwIP`du+>HhfmF>K^nG}2b(;oq<N
zc*aNQK?h`=$%qHD!Ev~EgV4jN?#jOzXK>!+M?1?7Q%FIe#d^h616UT7vY)$uPt-`0
z*tI)#E`PvAJVJpE@?kgKrVi1-=*cGe`NlMTS>9;9cJ*ZNyEePq%%>5e%cL~#LFEjI
zwuu^#ucLx7n#pO)7Ye___fri0Isqa*QKDVpV>$**@CBb;qk4lt*E2K6yD@1w9~FQ=
z(td}frV_L~Ki%Kr<O*i^KY1Q3Xl9WNc|ZPNRP<Ww^-A~la7y;H%>-D5m<`*ACBje{
z%Jkuw!y&_1qO<7ZJP4)z5CVwrYw~k%(WVbx_W0sIZQ+zF{1>0g$~?TcgAk%T&l|EF
zjtg!Kf0DjnV~vpZp_SCzf7BW!_(9#xCMQR`4n~79mjpPjNRf_3KuYx?^t(#0Vb$}~
z#p!iWcthZnDqQG1OTtD4ZL;<1XEhs~V)-P-<%yme(D=n)2|bBu9UL5@3D|=e!+r?3
zuT(8tW_ZE_!}E88{QsbJhG1pI{Kd{PVceSWAviid^Q7xjR<<48{{}hi)yW&Rot#SN
z{MQ8eT}#7XiDkd_iV}um2B=)DVHU4N`5lH0S7Fd@yOQZ0CyEgRcCyuUP#FQQFJgvA
zzKGVS?r}jza<r}GX8c#{po!stI~LpZxg#CT4DbUqWR%3Yf;Tr}dxtR*w(?+=!W$j_
zoFHdXaTz6XJ1A^ikfF(YG&#Ml(Y5=iDM{VRP(P)a#-8FT=`zGmR3;Db9Q>4MS>02q
z5pTFPb_s*StimI(a_9~)3%T^PrRHcczcYtctC81nCbor)Ne9#-eCm=9<V{DOwu}@k
zP_F$K0x!#I((%^vNZMupEh(AHevDWY$`hpK28VY8fEo?1u$ID>wdU!jQY&oP5)=|-
zs>f{Zsf0?0SPdT|KP&WD%ZZb=yO$+FTN8@LKmo3U@O7Yx_!#aZFOyoP1C7Io4mT2*
zETt|Cf3n+e`2ekKz|5)k!*>Vw^(F?Glbaqtoy*?8L3a_UkuIsEuEGTax4x!L*_KxJ
zE3Gks({{ZgX>se>Vu$0VpS+2O(Js<?;X9`pvmFJRC$3j6Cq7QAB(?SK1xqeGJK5u|
zIJqms1|f^7snMc;XpW_&=q%hj-Z?r#gvCR5@K+vrIK-Pm$LL=Fzz+Ad$Yk#Fp9mu2
zsYJ~v8vAX@#9V4U;`5`M-M5Rn>w)k}h8_F|%zNF)p|Tr07+fi_Odvog(Ej@15*$ui
zG2#nPR0i)~5z|%YeB>;L(1V;5RTY#!7I<*)ZzOyS**pH#ECDUnwB!G}!KC|qY^~Mr
z%gyzq;mcubmiXzA<+JpUg6V8}<Vkf7c0VnO<1TTgz<VCj?l#5#%9Aql2*A#=`P@*K
zr?){tD)r>u=8AluX9!NO)|N7<r>yKS!g<bq(7idy4?mClro7KTo&A2LIHfG)@P~jK
z+-gfJwyB5@_HkKi$foxwISo6BB9O`$6^fK+#B_t9td_&C0K=Z`#H}0E*&;1*=7Y@q
z=nP>vI{G52QqGr|8a=1qfTfzt&*(|;CGl|OD?hZDR2N+bO29Ix=-5%;`!}lndxURV
zEQJsQPL(SDc%?mwhsV5c8V~D&ZVu05un*RXnD3cTsR4c0{)E9-h)TPry|;Ii!VD?o
z;c5ESdwy56xVYosurk}1&<h05%xN{G!#f{E-NKNtw}%YFB9Nv(RI<YjeGu=(4b5+X
zFPg*<?XVO*tMM^sV1S_*ijR!e_#P(v2kU;pg3>M~<IPxA{IB8-pF%`?+;xehZbW|u
zH8!cx4Ar03NbQXL#4&e|wU}NEOxX+x^c55z9T@3a!ruPz@GZRQE^pL<k@TR2lVVD}
z-{u*~yrQ;{yy#kVe(H!ZV7<D^p;UdlKEEAZA6;p<c{RE*t)RL<FYP6w>RWK37-EQd
zYLEbs2BQ4sUvaHPN7E?`hMfIt1WNhit*uWL^H<b19NC&b<w&KQL%TAcr7qz$D=j~8
znPB|Twk|lrEwDU~^EU=BEW)#DRbvY-E1Y>$fC(F4;=ewWqq!*fyyA#GA>b5DrGA}u
zZJ?&t%^~`(P#$L3ufvHrp^YlF9?3|^^O^$?8zU2cW*yJ9h)8X;F}zw|iJq1ZKz9a*
zIb`wDj`^d5T3PnE=yrVT8oun|tmK?5uMOHrbspA<v|UciL#9fjE4{K)&o_A8r#zal
z%j)fZz7<b2kgrTUg%D6bkG&u!S>h+XW6fF91F3JT(_UzyL?*$Om|dY36fcb9AfPK~
z&Ku1Xc>>!_iX3Imlqq-K4YpNj!_5<H2R8oTcV+d-7T)Fy3&A1S2+8LN)b@%UZ^xHg
zu@HxZ1TfO2oNQi^?yXFLBrW0)+^P1*P2=_*;`02OXBW9;+qQWq=UBqHxF{Dn-)$^L
z;ZN3-^$$lu;#Sd(a=s`dH*cs{i;Vba47F(LR6|%rDOv>Insbih+`T~oyX`p@w$bp<
zlUftPTIuZ1i1r#hKQWRrPO>@p))mcjpEiI-x8)b3T5cZezJ{HE_@r3>;bv6-PBeVP
zBq5<1az;$1-%4;K+jU>w%#SzMCkFl1qaNP649{;|pFK?R`SGsf1*FLwUi&Q2`?WK=
zs;b3F_ML4`@v3H06*E`3f5AzhQ#+RMR9ChCw4YD^{AQuz^V!CR0@J=C90dE4f|={e
z|Iv}4HB2%~clHx8n@#Fq2@6xWsc4MU3lk}i$EkC-6L03wVfndPfC@9w+t1LO0Fb27
zA7}br8tcgWmC_@gQAg@G<>qFlYd9boSupd3v1o=Hbf$(lxL-??(_cT-|Hbq{lNKad
z0f}bt8QaOP|C4mrpAGY`tY~glU&qq-a~BJQeqHAyTV{gKDPmq!A%T2DikON*9Y=e9
zqR&v6!e?%xuO>r`QE)(3So4aXlB_O9#vW#2@$b^gCaS7LQhwJ=YGft1-s{YypyWBd
zacr4hdr6`?d-3pGRl12q9Svc+1H6bIx<BhNBUxyVRG53NtR`3rq(q)#vXyK5nacQ0
zr^|zIs{a~Y#=JF`>cpS!VOT^u!W1#{Aa^CIBavC;1~?#Qwt56RO+#JL3FX!dIroj^
z>rovBO#O(Kb*q6xaRYBS4&oRbW9@;m>J59?&(zrVOTH*>>$QfbgA0QM_os*>ULVE8
zct$_*ZS5>Ao05x<E%m2fLuS<DFFru*ss3xPS#W%D=Ybm3(mGz_NAe=5Xsn3jbHR#q
zWY~2=P*;H>1FbAwxh42Iv<aM4imDvle)^*{hYR;StFJ?k2%G<Vi0@xE@9rB9H4%6B
zd~qsT4f9YZ5@t)PtRgsqyXIzIurAOJ+w@*>;;RUCV6YUwA{!DX$9y}sf174J%5FLk
z6282ggd8)jl0;Kf0n=v?|F8n5pyRKs*|;DtCbL_?EcyN2F2ZLFAqidPlYCVQ8`NsB
z)LR!;BLyOvr)AM~Ev82LScu<Ks1tz#7TwnQ9VOT6s8!-N-X50{=`v?>%h(m5e+Oat
zBJrDaFGZzc-5y5WWO;*wxktM9xo!WN%5VX&ULUQVA}uIRQ>mCWnO-%vMhqjKD>?L0
zmIT+lqJvN^O#OB559xX0x9ViKP+IMd016r|!=?Z6D&KcA6uDEpmcrX(t%5sz!qy7*
z`=wRb*ZVOsIb}LvYf(R9Z>kaoyjwVWQIpxp5)M#2+W#JnBEoKe-<kqNL7HOk>VmOe
zZ5+QW+}GTIAny8@eR6~eTC)p~k>-kjwT<c}WevulPh8v`V1t}~msapXK~_Af;?le+
zF_%`i^yzC0kyb^GPo3ESe*N00NF8DY_00F*<0@}*5+dATTNN+qn^qm%UH_kpthUr3
z#|Km$3#}iOYsiL#?X%7i<aUo?diQWN;VT=hAn7PeaJV4+nS!y~8L&&_O^P{*$T@qF
zip<DMc<NwTdx<j}G4NbO^DomEnKEvF@>2R@9r6=tPm!kN`mhc=lNT?^g2F`;d{TT*
z@NM_RI5_<x%64#KrA7w2-I>n~%%?5+_%5H0cG6C7>AFvif3A2qF6#A1mtS3NToi0v
zW^c^YsvaY_3%A9Kfkf=m0{zB)$VG6@NR2ED`j@!bZV-w)AFpU&JM0qf3wyK{4OB9v
z8z?G;=2GncSrBmEKcS)S{h2cyFq67%Vz2uxHt;0dtI}u?$GAcDX6e7Fmzz$>K<52>
zMz7go3@WTyRdUS6SWQFwI(_;F832Uhf-M97kolWGufQ?un+w<fY5RxJ#q1>WhYHjG
zFtx@C-PTVCBYdw=GpG-I<v*vYG<{8+h3Jsqw(cAOR(t#VviI1An;UHymlb1MEo_k5
z-wKf&6^0%RMSgC;GBM(sJU*}vd|y!cB=ting11n|v$yxU<||C{DYscBlF`aD6o+uL
ztv{DWw6IC{_eq7p9^u-svpPysnBwD@&$pIi!#{&Lurt*8-j$W)oPEQ+%(W%253WY~
z@oHPqoHjbNP{&U%r&LqIiaUZ!UPAPazG*IPh`~OQ^NtDMHsG&=NPs)(UgY3qv(d`v
zBP1aG4PzTwW=2%3y6k0K4fCnvT1;pm<`~pG{@F^pN0{v4>+MHLRPwz+>AkGN@Zibz
zPk%RKj%98MftXTiS_U3^E96f}<XM7APj?^5Y8){>s0e*rDqhivMQ}awCw1K3E88wa
zI9gj@T2;?fbVmO!LgeZwNP9f<1eFgx_<1(o)&Bje=wHD%G=vGWD40CR&|;^|d>*)j
zw451x;|u@KgzkL<z28ubwmQ@$9*F+}lP4c=8;zjGRIv#%KEscV|9PXK2R)CuSIwid
zuV1-HKjNnQ1G@8ZKp7!t-JZ)xr}^*8==fw<bMiYs05&>}4|Iv5HxVrD&GAY6aHI$R
z0mRThW_7G$FeGx1VF$+vqjfu&>5PZ<;Ay<4TX{_ukafnyIWC~T+CmNGW8?konixkZ
z+V|l%k(-kST`+ltyVw2}Yj`a&DJZs9o4o#--W#rKQdA+2kSin!y6QtAO+BMa&s9e9
z+rBc2p#&{tEff8qKmUa)*QeeqpBT5a2&=Z$;PthV;^r$adR7URv(ac>jsjR#r8aHQ
z_UY?!v~bh)&GSg0R|g-l?Q&P{byTlWOkO9U`)<8UB^)i|II`#25C~iH+Y+)l)?<Pz
zMw5<#0+S=J))tQqp$<bjzZ0C?Y0>VTj)0G#UsbCet$ASQtfhsz$kvjn=mHbsV#wzx
zYz&3F=7F|pBwa^EW5rCc)FR8x67xTQ8xQXj$7v)@*dc)QVQY^i&_N)10c`J=90S*$
z#8d-f1eCKA+VOwYSNs=_TyvMS&7rochW8sfEysd-c)-XFhp^IoBzRkkdc-ltNbU!`
zMI=<MYu2eR$@lopag7zI!TWZ|!)>t!YtT10$iiI!N&^mD(0$ApzJ2)b0;7kT<^SY4
zZGW%f^bcPlvmx1%k@kcPS(mC*`-RXrLhMdsj1-?RjQ9|(g0fFZ5g4{0d0EQ=W6c5Y
zA4fIwTaY`D2akiRcN;}jC<fVetM1qMG|)~Z(z1%d5kBY`=hqAL8px+oU(rpZZa&IJ
zFEGC%XJJ9}^Yd%;_=OzgGfhM~gf6D-lB>OnRJ}tldv_IY#&+K(r~t=#2*=S5RZ2IF
z=G_iGe=kKp^ICLLR<y}$woT0q?G>X2YLav!H<tGSUyo^m+-HRVW+@?qZ|^GP6||?S
z<|pm;4<|L!?k-G!iEq^upXcjN-%hgZ*K$#^bmts77tCkL4|9|p^M=dTd`B!nLtzi2
z72grd8?@*;>yn%^FEqD~pZ*e%#g26wQB9OnYDdfErlI?lKhrLI2%8^Sq0^ag?Ksjf
zCAxnv5BB2uQKmmS(X4-j*U#nqFJUj#2(F`3sx#G1@n}w=E1z34CgV#JS}vYfl$oK3
z65@G*<D;?`Z9bLQ>t&@a=19NMlj0_?R1Vc-u8XQQUQe<6iE~PaI({iU5lCE#u63Xo
z!nSr1_V#THT+wm!c{NJh8XfszMRjMB7-o_uEWjIez_BW&j)Sw_l10MCh7lMCG%dKo
znS>T|u^+>!^##$?203|?>x}Y4P!p=iwuagzkYnMY+n_Ff9Nup4#|y$QJ{OfCGgvX@
zt@%UR#{dx1upB0;vLdTA*j0t2jYUcjz0d~r-}78eNKOr$qe_{`l2SCz{)FEXQe0Zu
z2PvuuqLB<(-bbQwM(W@o-y;ipZ;h1~ParF%57oqx7+rDv2I~IRxX9K~GZx~~=t0wK
zC<y1TD@SJ#ci*Qu6qHr#(~l5=MKsYCbUqUL*}w~HqlRBWy)vSMH^>2K3Dkk+%<vq-
z3>;AZ&}q)`1M(#%-9z8+>B~~kk!$L~6OcKd|3-v8T3@&{>!Ds2zh?xCbm5BdD@54x
z^(hhjGZtLfUZ9NVjsKa=@6V5$<cmm_C+@`{r;bpa&BXPqAl~ISx%EHsgxbmie`qtm
zd`5-v+%FVxWbo8T%x!286AUuQ8j6Pq!r&a)_*4M(U{eMIs*$zP{J$)-(a>Hu1x+;$
zVQ5n<{jlgo<qn&b<M?C=t1^1Dq{uUIsQAGtVP#OveoAwGs-2*ynjxh8v$lj3fRBDL
z))_E<9oIDfHf=pmd&z0aQ_|lny<40b3f|AdB4Yg5icz$=J|a_))COO;-$8U^e(-h9
zYoD0*@r({aUQ_<-574v9tJ8cj9Rd<F7waCGH1~%AH>3|lLVh9WLqp%<##Q7(q$4L)
zz_!9IYD!u+;&s6pgNCo94yF96+4_iO?nBnw$K=90M2|}~Gmx^8Nqmz3cjJ3GH<v*m
z;EULnQH|UFdr{{Enw@pjYB-%Jc<COKs2DkV#`f)n-=C~gVrbo2%mf!UzanIvJ5<>O
zgf)Rj^xMgR=&_DT5ivhvhGZB>yqW)iL3cLN0z%oCH-wms8ccr*Gx9psTH;kSOA=&o
zL1(>Rn0Oso81RI;|8*7O3HL&aSy$ctJAAW~%5L`GhIk2V;aEkh(gSHsDVPVJ1NkVh
z>q}RU%5o02jb{GE3z8yiWo?`fcE&$gh$XnFs68X-i*wFxyzcmZX7~mq^5tNDTq6=l
z#B~s~VDPVAL-C=0-bNfLdJg5gY&V)Yzn+l^%t~js?KT`A;8^jg{V!Nuntiyu7X!1G
z#8)M>rR5~2$eXW6V22khp5D!Br<rBO1_!Y^-xON%&a+KEBa;neBER)VPv(jqq4E@l
zk-LKBJcO!F!EcGLA>#RCVHM;ik>H!H6Du||6AYS<D?=HE8BXiZYNbVC0|iPhMVGi$
z1Uvmlo^pzMgrYZ`{9SH=BQia2C?uvZ?<r_?A0u8z2;p;L<w!fIr*LCszbOQ96XgXe
zVQiR=4IRwf*KGAdOm0cx(NBzKL{&mkVe0GesJdr9&Hij#?NHYu7Q&0lli@to8ScAr
z`b%pzt(`(6(fcXPkz!eFK!shBNHckXZ-a!1(g(GwTPeJHLd{sMu<ax?H@j;@wkH*c
zrx;rh@nXXkW?q7V(1tG&;W1d*b{^dm@tK+&A?VYVj39^tRyQ6Juv1s`mqL<D$6fAP
z*|T4Nym9;cCl&WLTS(t6mXXZdS2S#o!X3&}Vr<FyJwOPcARS&)A5n{K?c3?2TcIG#
zI~bR?%qSzZzn>h2<x)4(I$dlbiNwuqlC}@{f<Zi@GYtq3D;LUv(yWadt9gUnOFhAB
z4g43mL!*P7!brzAs+938bCw%;WR%bxU_`(dlK&1mOZ4ns<1uFoPELOq{9UA9E!&Mk
zC9Jc}LtfA`iE;y<9U@CZSS!t*qFY4D1RtId+8KA&NN$*1NaLEXq+tOmf7wShFv4Lx
zklXu!MTv>{zN@Q23xfUTDmeS-NWMwJ?lws#QL?f$DZVuW`rLzPz(DQfJ8kLOYW-{U
zy@jj~=+m-#CdU#@@XmMP;{?AXCbeKpc_4aL7l&)+Rv3SukxG+wQmeHo1<ny5J*T<Y
zM&mPqai<g-6Ab|=ZG?iZS2*$7YQkc6XAMfzzI5U-t`kLPIE8=baiwGECRrFF<l?$!
zZZu_UijRvV^4(HZ{G%ln5>1^QDKFm_U8=6>X+05!T86uI4M>-r{MobmFGOYI^IS_`
z7B?2v_Ypkuc6a~z9ym0(i$NLXUP$zimZdi<XIvx0h`vVo6fcZ6VhW+oob9Ymp)mBI
z@Wk6Po-a0eHwarp9A>wREE_9xZ9Wh{j3}{&Jg{H`P5^GnAlO`YS4OBt_4?!cL}EWP
z;n`N*jcPuGG1#Ip?-|0#x)#PwYC^#Q6<m_9bWZiy`M#jhIMDOTvuRG&!V7;msjzVn
zrLuNp`Nzy^-bXc(OUkc(6#mzb<Ye#L^`}MLV-=pk^niAULnsK>xh=APE163*bZcJ~
z$&WBAZPlOOkPgG&S;?7+BbZawsV4IDBH828oNoew@FW~%<}kOYq;Dt-jNgMXZ-!r~
z5N+K-NTw1ogIY3yh*Rm?{zUiELPv_Dn8}EEQ&F4FDPOI^uRD1LpS@;)J}F;@az7WF
zfd!{%aO2&kUGTfyTA|S?nZ0~OW4wHZoE5{nU^$%<6@Du5pS=;hKWblRb#<xm^Zt13
zzFXARKkd4pAP~%E)B0^t!uk&+34^B6uofCx?n1)k*CL>kg>e!NkZzU+rLz&437I(^
zwq+hM_aB8rO3Pph=ICS!F8BuIi9a9YsY2}HxjJRrrtz%@zZ!9qg-PRpCVtM6pH@di
ziV4bG4UgY`quJW~#Wb?FtQPLAzc*#<>Tc-bxAwEuVWG9MvXCd^ui0N}=Ug_OeSDu>
zOB?TygaytyVyTZq;#eVLGhVuyN8*2_e7sM+UtUWiO}fRtxQXbWq3xEupp%4J#v5q!
z-{FHrcC7(!(TGR)<R<FN%U}=(PAQ!8!yTo(<eunITcX}X!^|EZ82d={hPWFwIEcU2
zU1qUgL78gNzmi#mEwM&m)@7oQBl7Ty3uo}gQ^Q68c9;vYa>P(yt?8%-@eNkSD5)>V
zLP9b`RXTij>tc>QPzJv#V5Qs%CsfZ+_ItHWJv&*c@3HTiQ?Z&8_e~_C-R_|xKQ*3m
zSKEIp+|$I5@%f%)BLX%EQ56l{#q=H}62SBV%oi26-iOA<*)P&J#+}MUZOB0UgGdA2
zTseMAVUaxkq()T=OFDi)-yA+9D>YZtI+uCg76O4cb--Ogt50<!XK;MG@o`2*+(*RB
z@)-&VyG4jhqHf&2Q1g;m9NIr<V*E1WXd;R0WDgedHtCo8<#*jdF}np3NWiNn%8;(d
zh<Ur-WCcsr<$er%iO;t_h_KK<b>F(;bp%v#X1KX)521-mxZ;mQcZwgZsu?JHu4te#
zKR+Ya(J9#<;`27tNy8-5i_X3puZJ$3Fq%=g`s(+qAmH-d$N8W$rwqKHOKPsrt1_Ch
z$Ei#cK6Kq#jp@YSP9qu0S3yep2t5Dh#VZz$2W^BtCvG`j`73a*9p7^Z3VC(^nL{xk
z{i2eJG+#g^J9>j<JzsLJVC&Q`Jya$GAN<Z<E<sqsXGLR0j|Cd_>TrPC85Ok}j_-4B
zEHmppGv+u9cZ*Gz%7FJ!7Vd+9GE6~|{W$(<=_F2@7Ht=uG+oKPB}FYt9xq;gLsl)>
z(l2t#-$O;sj&;0vMR*$rDEaM_Vdi}pixcj8FfFSEycwzIC=l{iBs_`m$rqCi$xOK)
zSYP5|Ib4r#J?gZUZt3kYDn#(JV>W<(-#U*Bm*#=8?yaP7j<8c``o+6n?hcHRe;gut
zj5aR{7>n4xN)Tnn;pcXB;ob%Pw^rnWy{xPKP3R59p<8Dx;<TloJt0<o*rdX;H7Xd7
zD#Xm@&=9x;|MD2|(N~ZFvj_Yy`tYbi2is0O0xgu=$P-cJ@A0@2p$hWmZ6`F^ZQDzS
z%$JlrNwh!KcWtLB#;0Gw+0CS#aMeoG4H;6lESOKB&xgpbjKQe%1FyTbUx2FoslPkU
zUzEHEj1KSC)Q;migs3h5u8rT?TIp~j)&)WTC;M+RUl(8k5gOSf?Gy$Pa3PYW_Jys@
z-pN919iH%^!D7DGmR)$$u_;$sO4b349l}NfWU$yU2SK6?!9p0>;;DJSwn^HqXRkw$
zV7S^c$yeTm?Q=r(RxQRS?lvlu@@W~Lv->x?qg{n4GFBZfwZ(q$F(n5f;caq}`z%Oa
zO`_@+s=MB`^lsXQx$mQ&-hDEBW1s&R7h9x^I8iF9qL+TR6SOS8&Q6gH0b6()D;LG}
z51wezf$iM{H$YaL0fCh5{27OP`tDz}c|M;aKuA?j^*P}RonSa@ixW=eV{m>OQeSEO
z<4U-OH5_&3^So`MP^Vpkk%I4ZQiG1TQ+(<v9&3*b<zGFP_sTwS-wLdD>!#O=8lvWc
zefzRM<`<0*XS)|Ekkj*N<ET5{-Lce`lZ45yWc*Lqa`tcMbvEz*o84_;kg!<9A_5N3
z0kI?6b7}GkE!op0B;U;yH4)a|eswW2f@>bvYmSXHuh`m0Qn*K~Ue$P$StNR=QQ1=x
zaQ(KqP2MuI@C^+Nvm+#HNlm-+z<a5B>l@o<0?lBjq12EN1w8}dI4-ugqr4yl_wr{o
z1(hw|hVvozJ{(J6g$({c0+gn&OwQ*qM4cqFJhSIe+ag1%exJy~xN&-{UyS+VMbgSK
zq!u(dzbJ|5G0HxuC*_)n>C1-av*dXWHQS;Q)JoM7O8FK+L}d<c)x8*4RA=OS#uEm(
zMhUE0fq~YH*bB($&2;J|iM473WqEjfyVR6+IxW+E`qVAN&XJ6$qXgC|A^gLtd?hL~
z-v{%^)7-_ZTAB1;Y-(x!*Qkynwr09HoRYp~BmAQT&Us2vsPVG9L4`Mdi6RM{D;jyL
z*fgaZA;41SEQPYQsPS0w!>R*H{rbE+yy-xm-_7H{!z;-Rfe8kCLbzjsL<-PVp-cbz
z%C@MY@tb_krb=>lqn5ybLxUpUx8tJ_I^Q1P856k0hs$irY9#cnqyjn%DHyjF#)u&x
zLH3p9%)fwg-P4~iG!C-WY!K0^51V_ckyUdCq{@!g&W=ppY+XKv0qs?sjNWLH<`sdJ
zRqv>Gh`Y9@$l}v$+9h3o>Z6SCx7Kyaau{lCpH9zfBYpkd6Qcgf&~bl6aVbJU?5CUS
zx~D-DGgEc}SjUuVz=@ZaAXXqP*5#+Oj^NiHax@wq5)u;L_}qNDxx4F9;l=ERKyZWP
zB*ipVSIKf^;-sae`$&ejwzk%`Qw*hzjL2JBTVIIXp8o!lv(ooX*dmV?I0inaQUKxA
z)*KuCAu#dF)s_GieyT(pBMP6*ZM&=q0z>VqUs);@;FQ*ktMCI=Gz|B|Gg9BI35O-7
zUsQJCSMlt*5&{Pe&gV<<$bW1M-~Q&lb@mo~YMMcw;Ps*uHs!OEf5qtSBC*IAHD2=<
zs}}7M%h<rTX}^YESC)N|E~v9F%q&ACclqR0+HG$&v*Xd{bQ#@>i(|!_u2$nE)><pu
zhQJtjJR`Zg_m(B@BToZ+WXJQrigxqWaId1^fT?R2@CU9m8%!`6ZaEub(rNfeqE-GL
zNkl{>noNWgfM9R04(7jR_FHjnMA98Nya#r#<3;LpR$N3c??XPFZb%894NwvAekAt0
z-3Cs9^=L2XNU=syP@C_qAK#9#IX0n}^!mG8aDpq!W9Jz9j@`2i7qB1-Tv@gVR{D^c
zT(j32x@niytqh7P**@53f2aB5`XP{+^s;zk=UrTL996qrLQ2JyX8RONIdX-O?3P|H
zq?E4(Yq)<Tm=LlGR;^&Yg;D)Y^(8%OgS%E_zTYyJ=T&s})@qJpDvS})HzuC)>S+;$
z!MC-3;<0ZHZVgi6$Z1pd1`fluzUUQ%W_9*K2ByxHT95$Zv|Ka^gSMPhyZvn|7UM5j
z6!m;oOmHCgSgW{(N+ZsauI7f=vKXoqDo0W8KX7*g1kBE23oETV@rj9%Vy<ax&u$;x
z<^(PDY!)NOJ_pqcuMt}oGw;OWHAQVt&5)b-i`4>Bn$(l78?ESHE;lSlQJTpTg3xa3
zimGBcz_tvxkOzcbDm>6;g#?p&0b@LYi}GT*VqWq*qr^?oVP!VmY;zb4vk@c^%X)DI
zf`o7{jG-XF6$5u=qs_jU|Jz+TmDhpv#a(&6#xmDN^RiwYB#_$fj|7-?t6_z_7ebe#
zUa^RKc)YzjUX4R1;V&GjwVTI&=?)I<kI5q0dX+{{HnZh1%EGs>5KQ30yxi<=I-1Vc
zt5gV}(RZ|8B@7|tR1$#*r@h7$!emoML=lfR-%^ECv&*(NXsy1ni5ItE#jnCC_)leM
z+Xg$tKQ<{S{Jj3lVvVw1VvQ2)PL|5~EWIDIll|tth_}_!oj?danEiDEc3VL2)|^8{
zhc>3lZTrCJLR6YIunKh=2q%7nWr)ky)L?R2_1tY|GVo42Wz38R(%`uK3y1sB00JRy
z<U#?1V=cELRPQcDh4T~fB=hVi7E=Thb?wgLx#i6oJSOz-$=Q*sriFi}U%AFSR*F!}
znm}{hP5BW@$6%D3rFRZC2FLo=<N3@bEe*!gEJ8bn<w6zr<~(8Qm+fCiMzo`*B>|2!
zV(=?S@P3<C#^=N_Jdq><CvcG-Ywz}{C!IfkPEpMJV#zY#(}U0Zt$>wDKVnS#OZ9pC
zazx~&*JiJD89SSogP8AB$dF_--uk>$3>hbm^%N@=_vlokiaB3@9IxR-6(bMX>4BOx
zHc0dQ!Sw$$Zr$Tfm?RA+s}TW3&849sEIloQ42LvEeO7^DqSm9I9P)h$Yg6VbH1)y>
zAt$e;>%jVa<pGJTG(BS7;i`KnC9>msi{K;%MKk%=YKvplUq9W%+n&!!*sH$RB<I)H
z?y@yH%<pn1Dp&pPW0-4zg(-Xh4IQ08-fW?2u<za8&)#}&Fi-M$oUA=$HoF}T(JFr5
zir=|EZntb}YwMk1ciq>3&+0PZww*DHW_LT?=oR>jf{biZRaF(u-dAqeJ_=~}KHvm9
zYRB{1G`b3CAmX<Rlru*OOzqD9{-)X2F3~ERYxBK7s|X2!?ISSNE`RSRi-CsbN<W(`
zg8_bFQPb38$_`w?Evj?~OrsAM8{$|#{7MAmRxEqp-0w7A-Q{1d$2xw%!xLN)7^eTd
zy4HNZft}LW<LWSbd%hF(_`{GWaRFKL{d?k|V3OZBb^q)6+}LO`ynE>dSZaa1@Q@H(
zeT(CjR-HB<zL_%p9TjC+*@)uU+FC9%OUv$Vi9<0i^C8@pJDb31QF(b}o0-x`ChhW$
zv9aUWYdz8dfqYdkf*z*p1dKVpVPazk0pIc<c6ce(_#Z!Fu2=oZj@zHx82wjLU5}Q&
zl{^W8Dw!=UEgE~k)LiCrAMS6q<!HL&jjeb^!|OnfKKUsFQa(PuHw36wt8GG*l$0F=
z!Si-uDJl5qWWqlE)fpLAUt|Bxlm*A!+0H4x_`iEy?l*c}zT}CQmwzC~5Gc%2^i6U{
zIJ%GkjJHrV7aq7=YZM$Nd;GuMp`FJ_7?J3d(mOf=VO}2P#olH*LRhC!K&O#P{{8K(
zW?{H~@;3Ihb^`T4HEP+_QJlnzSuQoWV&~Wx2KdvxSHJtid9bJdUEY3WvW%xL>Ty-Y
z={yUlsBj4Nq8;WmVg3*fZic*X!gV0gq8yjuG{oj?YtZ9r-tssVkdyp~XlPR6L8dnt
zCDWht@~A_?CM{wC=ldq@H$Y<@b@D&Q#c3z;x$fhFZy3sM+P8Mtu&On!eqm<h<0A;Z
z?%*^-peQ*eh_Wo{PeT~#=@G@mq)6JQfweFe0|P_E=g;D4JoXUCVuM3?4t+#K1o`lb
z@jw3$^u>Dn?zK+0b!R&}<`?lzEQ!G19RbfXYOkw<$QLA#%;yAZ{tEc{l1$dy&2OlL
z|Ic*-OX%w^D^E^72|k>3d#s1zpMX`*Xe>jBK*Ucl!)w3j0mtu!76tv`<sC?+Lq!ZI
zM^Mpr$LMx27g$(GA5FxK40zrVk#+Zt9;A!i378k7-;#>9&w!Q(uJ-FQWkIIj!Ia(|
zih_S~_pf5}V(-t3C`hYRCs5nKGqm{`6fRKzsYKHN1xF(hoo|b|xy#?9^9!9lxm+wd
z_ur>Qo#cWIA$ImJXs>yqJ-xj-4Gj%>fZ!xKBO~M4YbCO_MO`zRJ^9Cv-v(ZLG_No*
zI|PM<=Cj0tUk22<A=?p`!3slzAh_R7y?VRB3ooG(;KQw7Yo%(vQv6>t1R)Savh(s8
z0YAu>_Ftk)EQ2-p?>Pjn2}=S`h5vqynEwC&<5u7|6&e~E<C~N9lgrD{_I45JIMSHt
z=xBlD!T(Ri2K2COnK;tkO5<*oRxei%4-axdL1Mt!YEIWU?<m!NTqXjoak)R;4LH;f
zzTW22*3nducj<4j>=$YSJB>s^aRp7+_rF|_5~z#HAMdZ5&#s1W-D7AVKof%s(D%>@
zD@pM2(+L@}rv3UQaqF1vBqr^X0jju;KYwsKJ3BoN>t>DWUcvrZZgQr(eg6udu|)6;
zYz=b&Q2K@_26U={hAM_w@Sz+q3xMBP&6Iu{I*(%yb6@d900S>DJRE_NipufoKsQ|Q
z`phrMeThA`&SqLo$eYu0)aAA{iMyP17)-%vpd*NZ4JWl+*B2@o4c8MNvL(E0QVwPT
zQokGHnH(vUdLRV50uxFN7!Os(-C@gBBS0Re1MYtwxNFaWX-5Z0!F0gTIx~DeYCfLp
ziNu))JJfkF6V5A(JoX3*3eL57o}Zn+Z~PSK>E%_eZRnfygWvTtc=B=9TtxMtP=i|Y
z>|`ES-xqdomA`ClH$gGPd<k_{6XKdO8NGdAcAS6dC2TeG2SbZY>Py_oU?O0qrVarD
zr}Q6h9fMxxXHO50%8K@<g`@`Ug2X-@y)vztT5I)JgoJ}Rxw-RTQ0Z<DCCvk4`m=Lj
zejN;D1Xc|6F>`~;)3Z?^YD+b!uw3<j7J3<v-e8QSf-Vvj7e{w~JYN$I?(zyetST@9
zsv1`P()L{V-2kcmAP5@M3>-t+fz~+KoyfK82!JXD#?8zE0s<mqtu2Pzgzhn>zrS<O
z1G&||lLK=zv&6f{WZHc8WT1MWN)z_wzX#s=1dvxGBxS|nJI$9L1u=1o!DZMX2S9Li
zYyFzX&M1Mp>fda|S94%>o~rcI6s!Ux%2AP##*mj~?6dv9{1gKdA+L*p=iAF!LrcZ)
zT#f_hTVIu{!MiK}4jW^t3HpJl{feWwlrJVD<q`2PcrrBs0T2t0Z)bmijWpU!rLhFv
z(SUE_j1E{pGX|?iHa0fS&V4SYwMS-WdHoO0Xf?nn$^T@TuMDJr^T3HZ{ki71g(*<@
zm~&c;ke_3a@Fxm^tvR|i78aHrXkV~0;z}8VdG!GB>!bccG&G@vsPOf`=(=yNwbgK&
z#66nI^a^Pj7>vL7pgZcHHq}kt@QYjecYL2C2t0tmWrD#I0L44fGQl%M(oJ?;>wv0$
z2c!$kuTVhOKL10+Z4&}sMyqYUz4b}ozwcwNdx4+PT_K|2zhfO4&wS?os<-f{1OaPn
zMlO4kaG?4J%dKJ}&JtfT`1{=w7(!c^^uK`qF(M{L%E{?WXeq{<p{#1D!GY{Mw{2K_
zeEfqTK<}mW^oW!)1ou=7!N69{m&dy}T7K<)b>O&tm_%ezL#V2%if&3i%mMBy$~WWa
z$`|ZPq`<7ow{?1cE+Huy(%qPR@yIyVXiI$lqIv-;x`|><CLd5-1zmp<FJ_WJf%N_5
zvfhS{AKsV$l`rL4*Xe11z(%J`0_-9#yjmsVEg*<UNI<y<tlX=7Zk<Z?8%DD;x(o+A
zU+S??2naNb!`ZTyIOd&PUG>pr`UHV7D3NUb0A_QKgR1^YuS*+Lf;U+`*Bc+f_jh!3
zEd1Yc6F`mD_>U0-Jp5PJ^S`~(ATRM0kRxQ-FV?^L_U`6t(P5(1+x?|bN11+uTQB(1
z4Gybezb&YaPr))__HCmt?<93Qf0;p9Znfepy15Ul@*j<U!^apv!5f1ePAZ2v^2e2y
z|I^!*1~qks(K14<TPYPH4dAqhP$Mk_kVZu4AjqHy)3FVqSZLXoX9Nln6p0mDMFO%(
zLu~`4A|Tr&l&wH1k)2dPwmd{MY|0|3s5lXXo@f2jAN||RB=hp;-aGGp_nh<Hne%-~
z0E2;<<;eAje%spF`YH$aBC3;$?1w#bsj<GkzFk+%{-q513tdN|bf!Y|lYc?Y^B6?q
zV?KAd+<-e;OSy(>j~yvuNI7h6{8*!QJ(x$fR)@30;;-6H%W@KO<DYk??B8nphW4r(
zG1jmbq|%mZkPLg*1>sq49;P>T7YTxL&n%_J&JGkOpv{AkkrC^vR~g%A=g#-6tg=kE
z(dip2NkLYY_Ib~+xVVPvGMuE|5)U)VNQvyF`no9JL<8+0&<4nh%P#EdW@TqxKt(@N
z(pqeD?1+<Y_qeFDVYqA4!uD>AKR9D3iU@_o;wi_@w8wwHp5alxIpyF1yG<wQHT$M|
zmiZ7Fc>m*RCd!tXR{*lZ$<a~0l)W3p<0sAgD&7aWE#8ydJvtg%ve6YKvtSERg+OzR
zzg<@Tc@@L{A$En4K9aQ6gcBZaei~fTamt(jBAUX(^S=VZKMVfkREWTDd+UbcU6ie2
z2tLM)JC1vsfAY&QIb;^+5ZRTrOUFBFVOA{LTCmOTizfgUiqW$(GmjE{#5u*>KQ@+G
z{EXv400~w0w+U++jmC3U`wP8{X48gXPPr_Eupw0yh1afS<Uh#(8d9ge6%s|}?-}Ug
z;&O8|)hpsDhc?a4j~Y`BjmN;WEg&z=REG{;G+>3FeK^*5Ww65Mu0ps_6*kO){h0h_
z-TK9TxR%>P2a1|0m5+R~#fCTEfv<4w`J;(;Pq>}*n7)ZO#Dj^6i7U3T)f*}rm*^B=
z`oyaOzO6YD{*-0WCP%XB85L!vw~uEU)|;o6oSGWg*Vm^iET)-x%d$;9rHDw5tLx@v
z_&SBA-Sfym%&zE}X@Gqo^C<SANa`i~cvTC)YwVcY>K>N@M8_R+?as)-rgE$kt4T{Z
zE(OfV(FTRYq$JizUUkXDm;@Acz}FLQ5`we{G}o0wPLPN%Ic`ZnKm66sHjE;HmCn+B
zO|<{CkX;f`8PpTVWHJfF>tqCMjQr}rKj~0SOzZG_AK$W8xG6o*qjaM7q|)0u=%zkz
zvO|lvx)QtexW~RSFYnzYC4a4+I5F0W7&10CmOOY6T+O{>^ZHpdr4l$fJ6EDN)bxFY
zirc8CDNAJhr=F8VBl}T>kR&-zv5%UXnykM+a|_+7L$O6@6U|tc_Zt$HncgL6Tn<n(
z2kaU>JMa}Q0vJ>EAM8Kmr~i&05R5y?@otDoX9ng{W++Q{clYVJx$cpg6Uy+GD#P(|
zvA;l!`!NYZ-#nrD52;itm*rR<UgjOXe2d-<XSz84#dD^nrY5^CGQc`^(H}Y6qEGIg
zFj|RM&4-rslu~#=OHV&rAOQFU@lECaaPO8LOrg703|FETQ6<#b{U!*EkCtSXJ*-I|
zv9AUd4gGUZOI<RJ31oV2R_wkgU47QHCQeIx3%kUDDT_l8r3XayjXpZ*lI`sf*fcGz
z=9QHdVPCMnLZO(yp=sYRF&pC4Jm^;!+-JDBF9Q3eijDbQbK$!dUB4B*#DB!9`Z<uD
q-KVeq6ePW@c222V*8lL>xwh`n0<qX%QnlkXd|aH|9LpWPJoh&PyeN(U
literal 0
HcmV?d00001
diff --git a/QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/sphinx/_static/api_tunnel_grid.png:Zone.Identifier b/QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/sphinx/_static/api_tunnel_grid.png:Zone.Identifier
new file mode 100644
index 0000000..2d45b2b
--- /dev/null
+++ b/QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/sphinx/_static/api_tunnel_grid.png:Zone.Identifier
@@ -0,0 +1,3 @@
+[ZoneTransfer]
+ZoneId=3
+HostUrl=about:internet
diff --git a/QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/sphinx/_static/api_tunnel_raster.png b/QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/sphinx/_static/api_tunnel_raster.png
new file mode 100644
index 0000000000000000000000000000000000000000..6e7dd443aea7b12d93d3a55e2ff0dc5327d3d96f
GIT binary patch
literal 34588
zcmbTe1yodR+qZAfsfctd(k0y;f`ou{Naq03-62SWLpMWrN~eT$!we}(58dT|kN0!m
z@AtjW`+V<Of0wT9qGs>e*LCglcU;FwxQdc2HU<gCg9i_=-^fX+K6vm5`1ddy4F&j!
z5h(l?IPg15YdNdgn>)K1Ihs9CG;(&ZwRg6)GNy7hb9Az@x8r2xXXRj~vUGNKa1vl+
z1O4*_toDu;Y*WPh)W8oxcaYO|dhh_(2=VV>k!YdSg9oAEZ=}T4-P7T1Udj6Jzf_2x
zw>g$FI<iQh1`xb?@)PeZeLf7+N+L*9dMc(f=lM38^<&1hPrWi?AY~*eJBg_VLY<J%
zg0nR=_sLLy_h1^amo!ftZIOG*@u)Q3+tpX@UZ5(*wQcGa$JL)#ygY0Z@u-s7(6bq7
znqB6u?c?o;i^!#aO&$D10<F3y-|ZY34e|fI3QKBQ#K)dKW64Jxsf}|(5)ntKw{@|2
zz%lq!IDsnS_=ICZLLPCXd8H$Vj`-$YDNF{$@l*2OKP2Iuww%7(l1syw$c>h+ZrVtO
z;2eeLRt~(O1Kt3$-55@pot-sDrSz`4+p`cYy}8M{{YmG#SKSZIf0MxcMSh{=eQBTx
z77h+n+akj(;gw>|(Rx2D5E;{Uso7<O42(Fj<)5ayK7qRSZ8HQcI;Omf4nc@lsc7C|
zOcV8MFW0W^D^SWHsq<S6K;27JQ>vy_0MFm7{Pu0R+DL=<K2xqU{Cz#=IxdcylCrQd
zk_O+(i)o1Q{`tbSkJw_>V@&u$uVuHQWv>BdR~sFTBY3k{3-6)4uUhi^eOIwtF=Kt+
zjmb72jQ$Kb-EUbB5Z50`@(zEYFNzd&eYy=+is`<|E&4W`!bvBvTUHzDTcJ@pak@Q~
z2b{-;8^jAupwp$R5T*&b*_{q5`@XikIh|6LH75|h-pX@1YHx3+Pa2YLTylk}*q-go
z#HC0J3kz55`kpUXyx^RoyqoyzZ`RV`SnZg|?zK-=BDg({@r!(e<1cyLR`(+n<_slR
ztH()MVIk_x>FMcwuJq>}<CD#?MworalF#xNCQY3ty#|ky4eW2`qv=*&2W^dKz?a3z
zQV^dq5Pa5PCJ6J5&K(#Yj=sML0h6auM%Xhx4{X;RYC3d>I9M}1DFt(iGc$%TZK-oa
zLWa)lzfVFAN3@&qgPHY1iRy+_1V5P-*)w1m7t0gnwQoCOSKwZ2bh|R_VOGn}%*>UH
zSK#-Rp;XHwLqpcxx0Bn}uDe~gLwnZJ6LTn|I(BSPo#Jzw^1K2r!Zy&2*$?=#-meIM
zJ~ZIFnXK>hDAq^1fYI>TV~Cujyp??B&Y4Nvv{DMELiw%Q-+sz=&72Vg?W#=X^4^>{
zs#!atvB#=_fP-A0FqLg%SB7K;XpD6!k@#UpYYv5uQS>>E61_#gz=pl2o^@}vwi@@n
z7&EL!fA%UkN>@yQP?fFYw&s25`!pVqj=ndv&gy(xP1z`GdD*~r1%`=x!G3yvt|OAw
zI6A6y@e$0dZESddoD}5lYP(#sZeS>6=CmfksD^Q1`--&B`Y<3u{xBeyP4@D&f&~eI
z>Y=nkmd&++v#+dE3%e<Ckl{4L<u}|8i%FD@@fTZ|aMeQvM(hsusi({+mK>(ztm`(i
zhG3MF_`${y{i*Q^qkRvh56f0cs|JTcU1U?~<KC)<sU};WIZ~A^Rz6X9>WzyTe)=eQ
zDUEz$d${;Rf^nuQmL^=BF+HKrx2L`*1b>9X*J%7l=K>Ca%~RHUZ%ibe;5CWvCbYqV
z6Y<EbegeeXB+8oa!0}U;>-~ulGqPHIU^{~r7x5y6K;{B_RtmwmW7PD1_m6L%cb9{)
zv9RVNi8-0mDztg-t_clse8bJxB;O4N8-m||n)zUcw`Psp9!sjM(808Id3uv^-EAi2
z9?h<icW}%Y#Z5*SLph4s--C-Y`mnCF>xe3p>8)pr_}rt8)_z;Gtl}==RfWnN;w4!<
z%}y;V?5;74k!N?0LN}igJbgMGevxSuxsRLK(=^ca4ddG?ai{b%mgWp3UUWOY)}sj3
zDu0)lAva2Ff+J@Zq96-e<o?fxWDXvOu3y>{9EeW&=U;e#j`Q4B9<Lg78b2h*n;>+E
zKbmq8GrVSA@1R|6c}O8F#O71k44bIuicG4=`%>pj&Fyh)I%N8~%dW{~cUD_dlkj|d
zX9t>d-b0?J&Zuo@Xt<<X3@0yCq1VcJ(hmBwiV{VGzb~9zwT@&8!@z8YBKV~<)(zfQ
zj=TH&eIiRsOD^z{VK9p>kFA&S`Q8F}=+{nkt@#LvZi_1%hg=r1>>7L33Dq}RPS6O#
z>!$WTy@;;jciNbLuc>dA#%td&r7XHMJS=iv9kXEI1vgUwGjnj(j`^O~p6|PLz$(7}
zzz|#uezphJwX2q;@aS#7gWKbhJN1NOH@L!eyw*YphxcZr;}=TpbDNu+%kuJi2w3$j
zKNGOjgg>Lx@$zcPa2n;GU0RBgaQd_2^VNA%yG*{JTTozYGbPk_jypR)hvtM)SSuv4
zlH(;->bEqEZmt#OMc1U+w=b}^9!lK&AndTbIq2wE^1XpeQmC4ni{5Q3hY=W?o6}`^
z*QBKAdmnvs9i&Z4PFeV(X<)VO3?*RJ`tZ$oVq+}Je$LSE4#&`sRlip6`Yhj;f&7)F
z(>6P`Zm1Rsmny@ei=<~!T)k9L%Ew*HbdE`UzB7fQuw#QP&EGS&8MykKpI9t8AM7VS
z(*G7bLmD_gn^%Zbt<%FPrt>iK8Oh^QX_n{PQQ2(B?<Cjomp!;GiYjTk*o421+T@Vy
zvX3zcQ4BK-7HkF0WQXUH`{z^3!lO9}CQu%dC0&rQvwEVe-aM+eJ7w<iAU%`m$q0(p
zOyOhw^sAMm_@&c0pTQ(sz-3sSI-l>8ipgKOV2m;G6Q%wW>*8)A>u$2@iCH-ajrwVL
zK)}P@t*xpK1JBT3eIOG*6`V#aTNH(0ma2qGEu6XXU&chGT}mQOS~OL60b_U%L1^i-
z=*#V<;hnIv^+uD@$AyZIY)AUx*VC+n1ozb@f#aT9auCvu2b-J$8Av*;9}Kfxq$0{*
zIP9<LR$`q<Imw<Vbx37b!e+CvaD{z90_D#RTg5&|uU5&ia~k~gV0qf=it!b)Vw14?
zIfqsv8tMUh)ZK21E`}Mrn7Y|*^TzZ!hvP5^eJ%6Z%H@msC{5{Iq!lF*XnnunePHbS
z3@}<$we`pG%-cdX9Y4R0`o_jE^3+Ic_<t)L24t;~j<>BdWEe4ZK9^1Dmb@)~b_x!h
zE6QK78XwN?qYXb$OK5}K>M$Pg%Q?-MX5emfrBkRI#JqsjA+w@LZ1-iQ?F~so(F(yB
z^~$41d5!oGxvhYg!qga|>C397$MRXS7M`PUUSxsPzMHt?oz~S2nb`feKUsdAE85gF
zCaT>8SE8vX{JO#Es;+m(SzOl1hIAk06@+ih7ls+Hv{ez`h<LO?vJY5`;wDM|Te<TL
zaxO!aR-xmXHf=z$hdY25pysc_gVL~O(i~&Ji&{)k*!F<jMxFU7)rQhTRY9oEz5<9=
zURgZSx@khg?CqJDfYoBNL(;;A)fwg7CuR=3VXt^qfn*UW(nmGX{vO8!e!ZR^25Ct4
z)=c6HL?sGxCwnzg*@@(!I67i6Z_LLHQrTYOR&@5)Lmoo%V@5l}7X1FjujP}XNlE*7
zK(6|f1xH&g)B{Vr9=BYq_TfaSg7OUUQo$4t>(sK_k5v7&%8Ns`qW)947bjzl<XCK-
z!OEztftvkzK)eM{izYUW3;ap^PEB&SIP4gP$t8%wTF*W!1yNQhU7uFu*4>m$rI=*x
z^yn8pb9@4;v(Q``vo#Udcw{8Fqwq^+ATy9lq)Z$`vS{XE22})EYx7Gy-Ep6nAoM8g
zS3@n_8Ff@eVclu!HkT8+G<`M+55`Zzp>?lxY253j>&i3Aj9Ra0rqx5McM`|R1#3S(
z(=!aTsN|5jfO)i)X`b8}9PL!y3ebJZp$)99+{67-&o1-*U7Y??;nGA+qx~dN=oLHu
z(h7;lP8k$$dA(I&y_)duMTSIPJDQLG4=;r#pZs`t6_2}|_(Tz_hEY@#r3_r_iq%}y
z&qlQ<Q9-(CC|Qn)wb}JimHC)AigAr#<(ps;LoJM6VkdBER}F_<8(6dF*VKFtn9))S
zV&;89(S@ztb@B9uir>Tzo-k&Eeitc+E9vBaO(Vc!nUAs78Y{#S=UR5uT6E?FF3CAc
zp!lxM(+B7MH7j!UeY_V$_t%Z;wF~^WdVEqYs`I-GCv$Bz`{_w<wQeBKx+8>YV@A@f
z%f3Vva_tq{i0hqC)u{i`IxC&~z;b)Z)}Fy_M9dy8Vu8)yI2u-mk}qymGiuRY`>Qz%
zbvYh)Z2No|LwS&6<txqP>z74KVJ^6BzB2jzC!X+FN+J(-IF>y_B?V)6qk8VOm(m^1
zHj)kd!y?pU4+Y3->(gtBxOOyal1Zj8@5`%N)ytL#;w<lb$hf?2^GS30KYG6ZRvyG_
zYdBdWU~_@&MD?!=+Yk8r!rociBQeg@NyGA?nO+c1OEs3R(hu(6QYdwCj6osn;DA$!
z=f+XR&lqtfwnY{<_Uo|y8<%?$3D8Xjulv}1eki-a^G_3<yqsZ_2E{iXPMVtI1t?jT
z_Rv|7bU@|3&vsAZ9M6MEQBz6(ewa2G%^)3&W=`?@@dGD55#7giQVzPpk%6?2Aj#<r
z?^)yULdWs^C#w?#x?RUA!`8pmiCUgtR;z!W!V9!}QGk)AC;!U)TIC$|Pe^J(|F>`?
z_k#OTinD17=y=jpQso7<60Key*ns$1?{`SGc%)-zJ&)XVbn)~>9?P;iO~D`-ZMpo^
zU>9jx@*Qi|shB}VOe0yuTsKwtDC*FV*ot?>{^saRS|Cp)*=y>(Fp}!SL^~#obUHqY
z;b-8pkKnmC{Pk7_@B~4bxwpD^ZT*~{C^90bIxqRoRGwNXj=$<EwvsmvUll?1mFv-Z
z4xQMX)ol-{Aa3_#gojXpy+rm%yp-D3-6&Q-W8zMMW)0rgw3F)bZ=Z+|RKxMBh7~a<
z{%sZfJ2@iemFa8lAyWh8?*&Zx+=o{_QuEPVd`7jlhV+&LWtB1SI;@lX8h7~UDOXvZ
zs-a63#ZbdYzKT@FBx+6t8N64j#6N#~oH18^A`T}?Zxo&$m2SH3lD=}NTAvN!EqeV*
zs2FA+(I-EK?0L$^ZDEk{Y@6-FvKoDE_KhTz#FJ{U1B1)fnZ+(9j~!pHc4`>)Ol5hJ
zx2Vz@Sm@_8(KiR@2t`jUvp1(Cjl!ut3tG)0g`8qdZ=X2DtnA{3m>Hz6cmVI*iCd`m
zUs>2y?Vk*+>h&U4L6arH_wLS^*x+t%pu*qaNYy&V_-hEIF?R7YPwZ4mG?VQlYGiTg
z@wM%u$h_UdZ>{I3^P~Ec!Ny8ALGRuui>HFTwWQm@L7QdcvCyH=e&wVdjye#|&=Uv~
z*F&QfYu(Ey(~iIhv}ec|NK4J0CWe%?Za+WJaIB=2!266m?59qedZ{`V&is`Ax$H$;
zcGF422{@|jRQ-{{1ACH~@7v@20??lM(029>hKyR$=q%L*Edx}Aj^M(xe$^KZR<xck
z{!`e`k0S|q+ibo7+QY3$QAt!O4&8mnNUP>zo!_cEN_r;dJEB6Am+ok%K*V$!!ch~P
z?UdM`uup5-Pk^#~Ol!1a3Q<liJt>aHy`#^yb)T4dWSLJ=_oiM*$c=U$Cx(P$TvL2S
z&yeF2q+~596gKj16WNg8j$CJc#zt^$mUiOJ7FoV{*K4*TmZv23v_)aL9PTVntE3{G
zKDVmj{$eGSbbYYwaj{c+colBQ6PkIo)2kwt>T4!BKgWsMvUa)c^&Et^2r;DEsFI46
z`9mp;dBy)bop@%IFGH17JiDD+v-;x8L$)-=-T~AC84|K_#T=QUoQxJz49K$2G0wTq
zqnaQiX3;03=sTsWWWPSD$G@;mlEMuU;7WFDj>(TH_7}y^XoR9Ht7iL^)XiLsB+8}9
z7)TzSeX#Rmp6s?|K(5~FoULNBtdOI`tN+#Qs)f;0s41!V?3-n)JI+`0MuVZ8wOkV;
z5HX!n2gB);M^EK*Yd9zjAx0I*CcvW+o?I&x(KxKmLWsh78uFRq9d@;O%!+OWeb?n1
zTxnW2RcD_fpJVG{GN(C-)4wkF|9~>ZZBGaCt-%W$`o=h_uD{+Am5O;*$W(GJfze(R
zS`0XL>f41H*I~}W<~$6VMdY=A@rb89qYsn#%~cc`0=i6mbW(u9kb%@++7Pl?PLQqN
zmDb>_m&O~lUGLY~?(p%{R_%(wey5CV`CwXOfN)9!M1yN3E;rROWygnVu=`-^^Y%z+
z4WT=8O~auM&1Kn(`Bz;j5k1cFQ+QoII3@PKT4NGj0~en{9x%NBq!aPcq<b9%C8MZ3
zA{(I)9l+<4URpdd0gn)y>>^ng;&J@7s?z?CtLhcXO^_qY^y{xIPhaOpWwY!lEvcKE
zM&Vn7TH%WvHTs7jdr-qD-FuwPwnJ4~Tg@Zd2^*8{7&&bD=0pKWY^50^qYr%-LHPtJ
zD7*m^RW4!*NYIZl5NDYjZ_J0Dd6p(xJAEbX>yVm5?v%6b(s8_p=ShVF`vJ~sMzUx;
z3wQyi3WqAv*(q;K!^KF*rup9q7DfXP_6I9dmn4t4gzE>%*F3~uJa=`D2I}alguWO7
zx;m-sb$&Q*3G8>%%zrMuh@VGIyUgiZBpLcPA(9n!7@6^$fmiuR3a7>VIRJ;!e6|$~
zYb-K7`p#GU{8~;Y72ucaF_hOg^bvbMKC?CWT_yQdx3`OU&9y9>{XSLxZ3;xM-zsT7
z=L`M!m;Iu%<ZgrUw60yqgnQ%lo0Hr_5JTm!1k~bb$inIbt&ox@rE!$l*7@BkS~Q_h
zmBA<0sMRki)JJ9|JzPZgRjG{V-=o~YvbtZ><ySIN@Nq=e2e~q1Iz7nhc6Nt;sJJ~*
z;;5vE*w=RN1Pbh*!u?82E03D<p&E=fk~%b>0(|kfH7Qu))Nn&|cqb$I6ndrdKjt*O
z$k3y)XYh1*=FUXRM`0DN(u3q#qa)I~vOsp3`ko|21pWI)Y^)_+)QUb0ipY@qa)d7-
z7Y?DqOkFIvBd+;uRu?ppEA4vpjSyDpcV{E`Ggi{}{`RWD_s-Mycjsf=d4|GtV@yKU
zI$27eX(gc}DZ!)OXYiwbN=j>|1+%0D?m0aZ1Wqj1s_q78o&^G#b#;06v{!onVmb%j
zRh&Ei&2%Rn0S!b1Zf&x>lGsUGxh=@}*hlPoy<G?kK&7xm{D3HO!P)kUwgaP^(#m#d
zwBSD9&F!YBJ&@;XDt*sNT`$+dV2$l(ESz3vplL*aCp2)+@i`2ltaEE!CqECOyzMk_
zUqf!WJBRH?a~pLd?e6T5Tyxqje$~L$M4$kB8lC3Ye<430{4ej)y)6VSw|dM@O$GUQ
zdV20a(^5vVME#2H04xA%Yin}>2?z+-?k_fVadh0DRl)$;x>wbMQ#-`gvB>zvf%Mh}
z|FbkH5mC|23q;XeEv!=#=Xv!jsa&TVz+O{3Kc)&4YYQ_yF>V0lWqh-|yqweF$HJpW
z3NQxm4bDGT)EoW`4!i?Z-#!z<KC`u3uH0_$9<>4>qMFU`YDiott60a5l(HD~`?rm$
z7+c&!VRe$@ZmV(0I3Fxe1%7LI9OcuQQ4(x>1`^3B7ZD{mt_Rt>D29?^8E7hc>2Lhr
zhE^}fC#7{Eg#*E6zx3`6^PirqWL?&uxB9B>J(RrWEp+YCJ&C^NX~D@%D8i3evJP6c
zk|xQqZHs;-?a9<kXz-i0tYfphe)BBt5#H4c+O5y`av}#z*R9!LG-t4TD}z^XzgLdI
ze&89Z)$Q__zowz|B>(2+f<0q9&gTt(8+g=W!IxGeY<@x(9j?>gD@W08S^)f0_B~E$
zFdf8W!p9K50j_=SjF^b1ikQ<p@_Ri70^3~VLyFr56X<kbB~$~rXy)5oxvqu2zW#h+
zX{k*M-0<cgnrvzqadR|^)%Q{?GP^q1@G)iq%6RcN_c@JH2VQBR)&h3?YY4%xxj1We
z%FTz8*ct%_OnT$&=Jw|^PFXjLDz*zXW&o)HnVaA2w^X{gxGW&PX<QPQyH<0B0x`Hn
z0PuqA#ZszKUgInPQY%zi%Hc3o;~ug*$z;#MF<eq@u2jXID>8HE9s{Gb<12hf5UX5W
zV&JgceB07A6=tV^WG!1AH?)zQBAsa5T^7wo8=uQ^dnoS*y#wINiQjYR%ifF|sgvji
zqEY88Sa+vpL69oM(&S+lrIO~$Dyc)TeOH|fk-Ta*E&Wr;ZBh9Pel`F4<HOX6xKV{|
z$r`CoRQ(cjVXF=INDNH!6R+eL3eu<geW)+$WH$%q-aR6J0J&i|+pK*fM*2wp%LJ#G
zm5{{(QKRCcrM^%FV$e+xxbPgYH&B@2no9n$_bHFXC|S!+NvZA0#t34frll<Oi=1=7
zY%1GqfmP7l{Cr`|cXs)1-wpO$Q_qMl-63$vafs!7;6==QW5*o`n5UTMz<Zm1w=R00
z2k-cO-*C`=15Ii_rA-s@xgIwzFD&fWDAO`J@Hy}TbqAvZ^U!27)2reRzH(m<uSWe@
z5b|ehW&Ai~`VC!%DO=lVyuR~<^ehZ!6Gq`##G>EqEXUjqkT?bV6SnreXo2r`?N{b4
zhuxU)&xW_Th?jJ|fj7d$QOUWcH*QbH8b{K2VZd0i^6~L;J)Mw+O+pmP%i-^7?Q>MB
zbnTkHu{Qn0V<Pzc=R}(}Gj$6C{$NNsdB$$HY2yzcI)MdYPjX19aq;V|inkg+W!;h%
z&bM7%g&Ze1SarTp9b>NMi}B@7i$>tw8RYsRWn1-9o<~2JsQxh>9ILlTpJbUwZRIV4
z_w*&%cm<Xqg+di)JoHPBKDz6inBZc_V}?i8gaLURkaNp>ccnaXJ5D{U%|XGeSa9c6
zuq&6cjML)Qv29;5aSc~a`!tTLt@J$3K8rqPeGvZRbI9Tw$@aiWr{q_8&NO5zY0$ir
zN&Z8f53;WsPayOk!wOH_=acj{YFGC&Azbxp#(RozZjr_}s$R|@E{${qkV+S{ChW6r
zx`Y=ANU>;AmL{UYyR!66@9ysMa@~A;_MtWeP0rtrVM2)>m;M{8pQ{r?YaZl7y4gq~
z;@<n3gcD8H1}`n9l35te8eJK;Bmxncdzr|}0i}mcxNPx>nsOfj%8Luq_R5p1kJd|i
zX3CM=7H>9|$Q2w$$ZTBD2`#P&;;FhWG+t5O_l%YjM=V}5+P@*RUr5d{LHEa`WadDE
z|A1O_3V(jpDV!%wu_Swqin%0PNGpM{L0+$}g!$MT%z@JXx#71{>AMNzKgji;O}77w
zW8hCdAF|KWCMgT0ITo_aiqMiramG+-4s3&nrOy>Pb>T6;ab|mx_nPbHZon_=0lxu{
z5%llr*=})jr9;~xrVe9rV;n{xKJCZ$4_SgsrLgM5E5m3gUr(~cHWV$Savq;{<B8-e
zID)U&RA0B(aHx+4p2NpE{XOZ!#K^c`{z+Gko<addeAqM8tq@-tytmH`D2rb%t8Vd1
znR~Do=7&L*gy)`GrCS`UIEuKPUWNCCTrhu+Mz0Lw;Z|YDh<7U66908umc3zZx-@N>
z^y%N@<sZmaqT@=ceC_?pJ0qn$bSgPW^|iJ;c2-ED3bLxRmHY*Ff!d;(dbewOMZkK~
z(0H%?W(@z7no4_c+ei9(!cg{&MH<ny-)G3x_dayU9Lm=-Ha03j%KTrnSG_hA)<1f(
z`j+6UX^c)kEifAQdOZ1Dod;#=4Lb8v2m1z-&q5pg03dKyYK|E}nG9sG*NM%BUneS^
z=#Z-zdfK&F2~{@Y7o?Jo1{iv_e|(4W1VlrXAw&D!y6I44wlm^k2dV$?ti%4H$wr+h
znytOq>q+^4FWUdkDhOC`<vfG2J$KUd%{duHdlMw&{wOh9e-ISTUeoY0_w{Qf_%pEe
z#~sTmw*2)bvdGF|1w4QeNMYIdeb^OTpo}HJj=wK9zP$BM$8oFTjb?dsMc|Dh2bQXd
zm>5rw3+*j^FF&=ql{sPY-HLA9Q~^mqcKUKJK<2wXP3Y-+ck&jMD}s_=C}tp<B5c_)
zb&MTx=mv{X<c_%NolIaRr8k(|N!dw)2g!kXQvUczE=$f8Lx~B6v<W9OMceGHJ7sYw
zg^#isD!Ge<toXgA+x>)a24eB+B}M(46a2Hoj0l~2&E`#@<7NIQzkiDJeo?$?h0trD
zM9HG~<de*H<;MZJ=w%XBTa=n^(7lQh6J_HDhBLo!l*%n0NB-T>HNA&IzVp3^w=YjC
zi?{EiG~z}XEaNxdktWh(m0pBzV4bRHg`#9)o<7VaTB2lBd@S&?u@Qgbtvy5cHm`JZ
zHCp?MTu@J@cAiT6x6+va{)#B<yHZu;%jcJi&FnIBSWdCI9?^oR?@QW#P1ncqjNB|p
z9u!<&GfvjT^MDJ`Sr;PU4)#uG)z((dNj(1^uBVsL@Kw#2Y)=SkVsQ$~&^T(O=mTgU
zefcyfv0}}wcTzw)>H6NndW`XCsO#%g;G1hzk}>U_K2WvTT;R3{U#8%Uct0jC-#M<2
zxNXnF1ld*s3Q<T$Yw^gTJJ|_jiALUyNASIT16AVe;d1RuFj``Gk257iN(SJ<(@eTF
zm#Sg539D}<X{)6ivL1`(SI2}gbb4PdWsGiiyXrQCZVrffWST=I+&9sua*gPbH+z}c
z_1G2`vd=<m^D!GS#{zt+6Nd--t^XHppx12O1ah3yE({T;FxDQ|`6-6`C1lZy__~1f
z^gZ{ucC2}*vzjg2gVaaknmMe+0O9gw`O;Xawi&c}Xl)~h`IsaEV-e=){<ZJpxYk5O
zw~foH-6qrSl=BGjFb8-o$LnDhLnBH^LsQRVrE6aM1)^C^ZZh1)3Bhkv%Xl2wmDbI)
zfto!V%yHcpVax*FPAV`bdH2?pO6;5FdUp;Gbt(uw;JSppm&365#jKu(i<*&UgOYzT
z*I!yg3*G;mEu9xIV9dOj+v6tra<s<j&Bb`u72Qbo#J2^E*v*OfR#~lPCaue2KZVz4
zU@wosfm$@evC5m05a}xQ@LDpgS)m7Qy}gAJannPnbE011-*-POq*t-+rl)(-H&%=k
z^Ggb=&kyV4yb7Qs%6u_+<UlnO`s#F8g4ZIP2pFzoym14%-?x#aJ*lSoX%E3PAVY!>
z@9MFqFhi#BMgptBD(25>J)!MZqj(&L3q1!qVdqwtTGqWh<x=+lUF1lFk_PCN0MqRJ
z!^Q{ESKp3f_lG1Ih=HvHJPy<FSgS2v7rQPx-N$b)fSsQCnG9p6B&r;u1=dT(C^`k@
zt4XOiCrlo2RDe^R@Em1>V1B#p+xV-u;72bNqS&P>@7**?rZbfC(jWL#(9;H*8T`<t
z;VSTBj|vlcp^niDaQu{6YI<5JTJP5Fm-h19;tTlKzP<RXmmiI4qtaH%Mn8@(@}7el
zXptZs8Q>?k+OFVFUHBi|ze)jnNc}-Wp#N?3l>npfcm$-<l7|K@1h^9lu=yk{hgAzM
z5r2V9fSxb9R>NV0rqKIAaHU~S3L?J<MjM&AidDj@S4Ka5Uxe*n!?93)CaQU|wsz;V
z$&8-Z8_``FmTPkazUy>kA7#17w|Mg*!{5wg(UT=C^mBAbz1f4pbB0GF+8Cps%}k20
zaCL}!nNwab9<`dOt@_Gpy+UO*Q<Wv!r9=Y|s+jwR8DUMZ7z?o;rp=xAFSB^7;#~Os
zqV@m#84#kr0Bso5CsZ>ECprgXoXqBjeGjrwk2dC}XPb(RQBGiepkT?@22ruc=aE#V
zsnjSOTvpA?J^8qsBW5q5^SGHZn>gjvy?TGs<$yW(ZgKs%&wK1af4YJGlO9L<E#Bvu
zbA}rs-gB!)A3d>&w}>VZ=n5L~lb(MBM?Fm4XPMcHXDBi{xiW83c*H-HF2!GXUYz2z
zO5um+qfKNioOnPiR>@eok~k-e(N;nt-^(ZZctqmg2HrpPluPx+_|^+)Px|9XMpG&c
z0C0}$<uu}Nu{mPHzpoleEUR*#svOU(^pL!JQ^&1z7q1%@;`1ixu}_--<?%@Ft%$r%
zdZv^^^zC&Nc9cXE{_<y}cD*+n8Jp-(_{))$Ib2)yR>+S)8NvJ%Y7Q)axc9xv7O=xN
zEWgSUQorHtBKs~a^z68sUoHl~?$)}EDAn^$RiC|Vswps_Id>__X`#MqMQJ2WicJ4=
z`H@tjWtZ0Y8JYemCsD{$GIC2GGx!twl#hqp#IF*gl|FR?0^4Vd#ByO`%(*oWOlkeC
zlB;ZTiF9}_p-m=lCe<$GVJ-SADX((1dOV!cx?laOHX7C!@76U4+vo-PJ%GEamP`vD
z>`zB>vdHPy3inI0B^-XRBp2UwE;zd7K_69D$5TMM;7`@#34to^VVR79!hNFq_${w5
z6SO2clh6<>%~JhQgb3k2K2@EKt&G#;{{RO6&l-cjRNI$yD9D>}nk$Z0g4D7&V%wn^
zNP6sA$O=f~qR&Yi?##P(s2(?<+lD`AW`OEM(`v;hJ`Es(H=snJZgY+A_;V?SJBuh~
zBx{oTL*(U1Rs2?7-SI41FTu#|23>7>@e(JCyLjK2EQGF&iR-RxU#FJxfBvxi2D6*s
z@i<Oh6tHb#u#nsr&r#X%aVKZ|;IT7Xe%LX%UEJsWBL$>Mqa1GWM=VdZ>G(urCX$8p
zsM2}%$ztur;*Y#oo|65F7{)qNxU@zY>QYG|ETs7UPG07p9hkhD*yjD_UE3_5^Xi5M
z9>BD!5I!B3gn|5EpvDEj%qlN0AHfm1{BQ&0K8=eDz}}K3)Hn6oZz_x;=IjHcFpG|x
zrGp))?R-_2lJJ?jjlDfW^3nb3kOP7u!P5V1EE-P&X|B9+*&1O<0KjA3_ion^h9Gqa
zaCEjiXL5r|;ohml{|g`SjR?KV^+z}zG@LHeGDh_NQYCGOwPm=XX@jI?EtJ&uTf}o7
zyG1^P!-kE6gHz9cHmwE+zP8G22)vNtwrtgL`-=@e%sFOz=730(N3Up}8y(kr3<L7p
z^3|vt^bb+u1hf(!lRhj#095S-VzQz^vz#a20J4{P%gLx<m@(jf<dXwJo@);_uNJ;E
zkI%KU;6dxjp5Oi0Z!2?iARqC7pj<6SeWdW83CayKrJ8@J7Ov=R6(UKSn>RRbs|wy<
zuET*)S-U+|h`P!0FJ+A4FYGaoODR0xr{pfI-BC?ot-_-L3)J%C<~rT34E8}~G+K#z
z0#nBs3cyO-F-cP}O6zi@Hy~yXAt{sRz<)U{Po+v90L~-on}o2(C|18^5RxV_PNAv8
zG_&+>b-eu40((x40#`K~FZ|N2MPgix;r{RowT9Iere}El@0Fj2={Z>Ts2kCMSavbS
zF@iqAG5qYzrD6RFi|$pj2`A@QQ52tqy3d_-qa?<QD9%dL(WffYIC634n7vH%I6iyX
z<l8efRINelIXojCEHaw|fwN4zLI;$FXgA;<+;<VqT2cLZO+EZaBXm)v3+sih?{It@
ze`b?MCP8N$*AC+Pv>-y3xc7TBy9Wo2=jZ3yKDAccq{XVmrc9a@b%1f#=G*NIMT{@N
z>6<SE{#3N3EZkn5gh55`PNx7IpgUIpxHlW48G_RV08|hV6bvJHXKoIFi&_BHFlm%^
zp0H}y^a9~M^nN&*<Hd6JpRrJo1Hmi?VDUo9Oo?I|PdTdya2I#s@NXgj{DXmhL;Yl}
zIbC+9n>)tLYk5BY=rtN^aX&H!PLuNbWUqEiK$Za*)1P>mYD6#XF+u{LV;EU8CzZ^8
z`9xj%IN}{ciiE)1;^$Ncs=-<W*E~8jiA7RxS@f7{X#<^x*jU<RyYO;k7LZE<#o*(i
zo!afa#Ch;xK2)s|B!jhtGbHf4%EEENK6!GZ$cBNFMe&uFzsxLmJEjBz<+B{L!9ZbV
zQS7-`vR^0FiLcZe|7sbuoo5{G4-{QI=t|t-Ew)(NkH%YpX+QAFzhNrDMa&{uCStY&
zE5jsk4rZ!=R>=Jjy3Pl}+q#L0mK_t)&TP$r<GxbPv`u;2H(Rc&Nod$;mjQq<qpXUG
z3V4GbyyHc^6@INI<8xS*QBT$8bHpCQ{5ycDe&0Od@jAEFZTG%XDbpxLkhAiZmOp@P
zuAY}ux50Kn<;Le?X%3L2cA!{*^%n7*DHICuH(f)+ta803$D$G8i$#-qoe|(3!s?C?
zy33Cd#UV8>#40hRBsdby_X91B(;`~mW#&C%UJ3#?eq?yhgz_dCUO#7mK#823H-H^$
zbKrZ?0*_#-sCuTv2dHMh2)usA$?m~c?i*6tQYEeyH$^OdU&j3YBUQm$4%*KlY(9ep
z%2{@FneMqMDI=-eLkRXPxE{&57fNbZ<=A9vk>%5n;e9;#)kOJ^$&15cD3<{&5a*K$
zY=723V7Rz$<%B^2oD|mk!)C6c{*>ox@BcrLa)J4$*)<Q2irm-=ZX}x^)KtLc-AlEp
zSXkQ~gD`?uWO(D8z@I+$i&Z8DA=y(nt6e#_sZb~3#27x}c>E<EFe$#y%xfOgNGz$(
z&*<BQ7+2K_#ch1oo<yQWKYSBW#T>4D)1y;zO=N}q>bJSm6R&&W^;LoHo~awFOhJ2M
z3O)n8kr{f+(JCx#AwsQ<5M%WUlv5^#aVF`gxlNYxz-yLC+N(X>CzFzK^Vp|6PrW;u
zhWfHYS;EhYo6OX5(R1KY0cN?Sw!@<&qSklmP_9jj7}l8YeeP%PqdIi9Z;HOuEy`NE
znf(i?^>=urMZx-HtsnU0BMO~j`Ace2|Mtgb$6$<*!>DCd(k@wRCx$XqZY`XU-EXR2
z@#qPAw4|0*fgMT4pcwV1fTtm|EG;;s`yHNw#Bm(iO>{-U-wGKZEf%2mcD1AqIoVEk
z1AxQWn_E|_Lw5;7*3-0O4;OAv-jo!Ge7mciJ;UDaAvn<YO)CUI<6Feizo{Iq6`R@s
zA>^z?!tdp&#_<(>Q`;B+tqYqTDwcxBl*LHv7oIjAZO!THF%BYwm=V#azg4>1pV(~a
zGT=fV53%~1T>fQzx5oYBfFA?dU52t)$U4irxtM1l9N%V*g+9MW>#6YqiqCr-?|eDj
zFQJ;htp)@O#W&Syqwu$L(mh{9=2$4)wwKL(yruwLq4nweY}WpqoB=G`5X^^B_=DOX
z^nMa1+TJd==a*ZRZwyDeSS0TpdR}CYJ@;tf7fQyHOC1jy+T{&dRuv)F_|D17+1MWk
z)BV1i^7HWEHRszT5@EG1MS_#-_{f#ra%oD>Y00bBdR2#Iw2ByLoWpbB;Vm7KF^=zn
zv~6*Jc<6u0?Fi?@QKJ@g@%0@EuA1w+ubk0vTq<%@4(lZQPu%ymJbKM+-XS_iIy9X&
zhKo4Lu#u$(6zAwF@`4ONi@H?vUv}bC*!)m39LJLl>OB1Jjip{RFTfw^0mogm(jZA{
zAs<Po{2AF89K#DIn17P2jiJynzM9VPDvVYFY4g->sJ||I?$tvlcxMHW$?|P6AV*vG
z<0oiy@%w0QQ8PTJ;w#rD?eCbW2f7~^uBnj3OpYb1mK`X}&HisRNxi;Z3JXnO052yN
z!$mEqScUif1E2TQ*rV%OGzB7H<j+Wx8t=4IU-wRC$I0g~RZrnPtW$o&{B%)(u8~$E
z(COv)l|wjr|ExE(1Q#|*cjv11#A`qK$VhWC=gO5KPhS!{^WkL?R-TjNPR?R8&w+-^
zSMx%bz(%sjl~-MAuU`V{+7qQ5m*6R2zf|R`5BYw|N=2s)x)|jm60K@$f8Opck_Bj7
z&SMYPRaOCQnkg<cs$xNx<`sR`bBdBL|9O)X;iuIUm;7p&P>iK0vCTGg1b-qvy;c-2
zo3M}Y&L<ffNKP@!SXTXo@g<7dp5bu$Xs19-Q=*wL*|?*fQT$E9#KhI*DNht|5+a=2
zBj2j@@vZa6DI@X;>?m0xzGcy!QcI4dC8u(7HlCvkXUHW77$}Y&lSe`Em{0IlbTNcI
zf%&Dy^GZCNsJRKr%BCndMl)%Bq5#`V$Z!Fll~&SewNnr!bu?q6{JA0SHv^B;3^LHg
zrbZs`U*O??=%*klembCKN(`(Y7}oG#V#z`9bSPcf5-P>J5ERN{Rg^lNnJUA<a!BB{
z*Ng)^s+nODIomgUXF^=?*z_3M=H8Yae<?{japiyT^y-Rhhp`pP7*8MRMcukQ;>GWi
zy4bGgEVOy&x&v+Xq>uSCy^6wU;J8*Ua!Eg?1-Q>aWo;IH^-Fjj3KK_FDwMIkx<JG|
zyC}+}_7snjxZ`gYDa>RQcC~enP)yss@#t4}-!!H3u*nGx->FsAmzlmPp3VFN`|SQ{
z8u>G?ic^0zc<81D-IbfVtSYUGGo;WY#;>i<7%C7LbZiXnJZPxd$ks<Ucu{C2$f!-O
zQi2JaC_StqPNGFONqpsa@eMy4z?`)pLV7s99%f=t&M~?(+qpXpGij|=AJW%`LkD0}
zYBODhgvf1C?Nx-T1bdd{^R<RIXf2*YLmyh|IE82C=WJ;IqMb-%nJ~PE3cc?Avp;JX
zl06}8RPGK8(!2Fi^LZ~Kx%1Cc4SDFgF5BjQkc$=^0jXJsnTsN(BJY1uB}w48$5qeW
zpSY-*`mNSV(fi+tQ<Lu$U|_qVhUmE8;%#vpe}Jd}N-tUO_v|zp1ti9D30h-5f>0Iv
zAd;jia<Iso+@9|CBNq|N41ZVLC|cuHt>qeyZ->Mu)}sKku!|z<T}>MV3^u{~HlQ$C
zBDR~0sT?tGQ<TJtIjEC5oU~Oy>b6So*IgOJ>jYh}V}Q}}scEs*x{gXOqJ(^fQ1vKw
za<cX7?y_{Fmj6=+&mTu7ErPjGvAf>X==h6w{`YL^4;>5^3@Og@tguy3JY<qh$-Y?p
z5S)w0p}nOWFiFI4NFz?kz(_11B8KiA(JDY0@ALIcC2>eO_e31jIY4V%B!&D%mReZi
zhO)=${9yOw>bP&w33cp&^}I^jb7d#<hR4mdQcedmbzHqgLTJ}Fy+Ze;89nA&lcAZ~
z0(yZp99z8H7|ZhePA}=xj1O;r?z&XHW0>aHKVC1iAeEP{UdHtv7?6#)Eg%^UptaQb
z^lw*3U(fr<s?-p)K~1Mxpib7hS-?dBxfu}1!8ZPek`_!ePm=ihL%0ei>|Jx^*4qoS
zY-j1`&>2SbNuR{jj|Ip}R&-De*xn?Y!Oi2adP$_p;bO`p2K2FoYIBn(yEiB2Pb=4F
zYyz|bPp#tPIhWNLOf};n3dLo(!@@9z@t(OuV#k8balC+vo)(r2Rab=3yFg@rMfw&K
zkVyPhWs^@_3OZN4@GI?&E$(s*^avXkX8Kov+j+e>xtrB@QX&=kXIA}}A^Fc^7*IdO
zM84GA@?06s$6E6<KYeD%8*+{s?K;h-z)|&PKv1DqJ^SZd;!~C9<7|*OywbWR?{4sw
zWfS>iu49p|$zuz(F*YAW&m~{DfrWD>*|<X08NB<lb>donMjPJztoO@ak7FIYDZ2z7
z3C<QpcRA|;A#&^=CS%<d#=mlN;^+C<hv7b7c*(Vd7r-U#Oxbo#+YL){=6g?6rD@1j
z0QzZ@=k$t5RF{U2g-q<`n~4hru5ms@0$VdE6X&M>$-g~@|E~+ni&4jsr%$8?hw6zW
zeF~>!;zHBH*e0u^{>?zo``Bktw<HmOq=igxezMFs-zgFGsM2n2|D3++<g?BWk>gDd
zI#YSm8riM2=@)YGv4@#2Q}acr6RJ;IS(pTXmY?r<w>EQ5>+#=#g`h7>!X$NACc{3Y
zBwa46s_P(~sc69lw^>4Hje%8OWYJ7bE@?f(tFWE%I}aHfW=AH|nwwkv(F+58RXlr^
zNzXXv==MS(U$x`E>WX>c@xPnp<l#|bufEg_^Hj2P#`fho8&WJgB~?pdeF*|Iu`cyw
z&y#sd6>BzBhCrdZp`e+E+BAtd<dB;xTP$Fg8-y2HC56=hfSFZAL2hAWK1a{*08ve=
z$Swc<?EVQjYT@u4htJ-fFT$hznRT*~)AGT~;_jE*sutfzy`rheWygYR)v>`*9}9^9
zD(WnB%P#m4`tn06R{J{M7sak)-sQyitu+kAqlZo!URTfOj@+(}rq1Hd(1ahwvf3vy
z4&00V={@-mG98FP0oFiL%pUW(nPK3e8Uu0Vj5z7^4pF4ziv|V>MZ5+nG?-aeHx()v
zjkro`z@Gv@=l)z<=_RIqvH4PwYEwU1eSXaT0^C#%7ZLAUq*SuWS@qRroKSt6oZuK2
z6Ls+(LEplVfR+93tGC?RZZbMgSf5Tg_!vZCf-65lQO2d-Ej;tz2p(NyA$`VQ{-O#C
z7ufGwNJP@Td$T1uCbnKHWM}JMbjB7o7s~T=*+zlgw~`jgXY1X;X04Q5mq%XTE~$Qa
z;@|6q^xuT+Z)H3IY@N?zJO2ToDbY(G`^mvdg`loLWY@D9P1xnpdKjFOkI!;5!z~lx
z3jmFCAiy_ry*rzO0n$t;v`oKc7U5dJ+AfxD*85``5%~|%C${jrVfyzsHs3$OK#)nt
z<&V#^Gc)y)CUUwZN`zk?D@uI%-Y2%tFG<31s7-BOOm?j}W0M>4lN-5RIRuN0@_623
zOMzoj@k@!(k4$H^Ef(Y}r_<-%s;`X(O3TGp3SW6CaI0<hcrqOuA8q@ptUO3f3|9_$
zb~s7B)){{(#|@kM%&nQfa%6qfYM?S&BbR??bz3nw-kGjL1SAV@S;z-0U;~sT4;cBD
zL`Zw`%c^g_7r3`VYSzB0USh?feD>~f{b<h+);L>Q=#cm+VC*9kf^(=T3(sV_|3C*~
za>|m&X2$uD;r-;O(8)0Tod06c2@a&uDwti%$bQR#2%_a^59q5r9AD8aeUIo(DpO}%
zc#JFb;rDgrZ)@IV_dJ9l(N#TLrftI3e)(fOt5~g&$0rhz)!k1fYj{;lH7gq+3Q5o&
zTv1zDvX8+)3y~MR-u3pVAI95$gbk<}p5uib9V_hs%Y%;auGk)Ut=tR`?*YxA?TBzp
z;e80yO#?6Bo1(v)gs*-kxLz!|A@1BBAj{MvOs(?}Ht#NkNino}BH5oN;8Nn^>e^h<
zsKu;Ptwnb2@!<ni*VZ2ZW1ek>S)7?kvAefNrXvM}?=;@A$?dv7w#{h{F0zkCg`U+f
zM?}LZFMb-oQvn<p69`QN0pt+fmtClodPzG7`sZ^!mDK=5_--7*y{eo`L{k;e1cf88
zMb+{%USUuFz;mu@t_8pZH^)gGWW7upwd3m96g5%<T{g-!q60xQ;>1%vrU@zw`(x(j
z$Tf=oZ9952uOiL5UIk2s@z2NW0X<WyUJUaX(N?YRs-zt3A<D545oxNY1qG`|Kd13Q
zgQ4^D7Q7+-f>=Px9oiV*cPY$}!p_9JEV?YGZyk#{Au|{XOzaov(#GktPZ<BX4g{w5
zp>ct3t8g)^R<uc}JQMWQsxo%Y$6iEA4|z8ByI9R{zaAdmt%+W{r2;0i0@{JM1T%f*
zi44QjDHx12f3jwwOfj8r!qdwu3}}tm3~H1Egfr3|;FG$IpFH6QhBtzowE$R|virJ*
za&r{pXDfPt6a(suBtFl)XzfRkS6r{Q&xC9Z_xJZXqCofY9!}I>s+@@HWz;k>q27li
z1J7+&SeZeaz&SE^&|@6FP8_~f|D3ECfgSpry8}OaO#=_e-C>w$uSkeQ7e+|8rG75r
zsk{7O?@(f=^<=a*#_x6=2C7~0y#adulFAJ`+F1>X)op<$x}N=Xz|pG#Kp)`axY$Dg
z>cl$@_+3MY=I3VL-Pv-|>z1`-0Q=nSXm&vNT`&<!#~zwsYi#Okvk1kM*Ji!0Ko{Wb
z+?)jh6#}XkASwM9N&4(#K9&h;(i;U@2kkHknAvMJ-ImLN<)yi$B`o@;zS3u8w$e~E
zQ9uuvdO)ug0^0KJot5d-e?MPz8Y3quO<Cv(dIqxHKMQs;(I()meUqZXS)&P*FYBtW
zRUDCzTk`#^rxiWE4`8_|F_PBKSoy`G-UQL~)>OGPKDvI`AmtBlHCV#83YU|7q7(q@
zexQ(*O%c&BlAwV)3d?3WvhntY(lLif=-|+kCM=Qhlt!bQSo*D&smBk@cJgalW(DZh
z15Y5JYF&xBej^u`j0HzdhX~5a0vm>6wOfl|B>|FY$qBwH+qZ#u9L`SRQVl5R*F1e&
zO}n<ZCfRY0FsUcY9OG+1urH>~JIL>Z1^^X#-CJ7`n^|VT{jckLk({Gdq;_AszW=Jp
z05n(E<3T!H_`KKs)h0aIB)XdNb`=#Nf+4!>LNE!TKv%TwkKS;=v$I32?k<2r2XsIK
z47{JhtBl-zHQ;<A#&?>vW$!h>QR^|;TE|C$e(s#<MTD@4FzecY7D~Vm6~7sEYc~Ow
zx0pMG<T>*%IG+y*P3K*5PWW>w!yNrs#Eu3|BixdHhO9{-VD)JLuzt=w(CElN?W!v|
zIyYeY+7)<^Knq3htbm@-hL7ug3s!|0=7v|_HAA6^^0a?2{nchxW3@>?RB-tSrv*5P
ziF~y`9FMga4J7fcv(w+j*?FF&6sNBGS!x2bv|Hp<d_dE-tRA^~<eiA^T&!S@ug^?X
zpt~P!B&Z}*;-=j(Ic-55XRNyT(VPZGOd|xpfs{GK<_fQu@f$nA7ph+>SSH)Adn4A`
z2JnMo#T%w4X$_er;j8W`cwbjd%8s-?(23t=>qlJwIHJORT->%94aYK0g!b^Ck3L(*
zBw@=SY=}=PX3LNMVDOqYSuL3`bxNI>`61OT-&pbMpP5Y4xX|}G<h?X|m{xc@yTYj7
z=%b{!8RQ<uXFL+{m&Ae@kzihLtO_GRRJO@hb?g>G*WZcCX}|w{spk$#Zdm@-p9Q>-
z)(6wwG2LPU&{e`p)&0G%jeVH2Wdh=X#QUg89gw`-B_<?xQdEnGZ$KcKCrp8UQ(3=w
zk*eEj{4gpX-)c!v7FQ{n5EFCO(%ga>XS-zqznhkxEus7xc;aQ74fwm#VngYU(`eeB
zTI<OL1w-i=D<8pIA<A-+tE^71YexIaj{+uXFQpZrkEic~_31<@MAX`xdN!BzdFTQf
z0r0hYMA2u@80m4QQsgA@`<3BBve?bzd+Q?Pk2~o_Y(NLcF%^0%WXoO45Jm0>3-ac-
z8iv!)S=rwVIfn|yQKJY5I_>y<xe`Bbvz*Bs{Z(MP=jHv|?`Z&bSz{I6votF1tf-yr
z*ZW4<R;$?F&4X1G&Pu=Ei<hCa)89mSH0^I%HTllDxclUf>tY<w|9tTU)dYf9$0RNy
zqMrlRHW;I?+*F>&+U?9yj;m$Mziq0>tTZ>s8|^PWI`UMg-Vf_-TdS`xhvD@yKc8Lc
zIf@BwR1YNa)VmnpZj$z-E$m|*SB<+zI@37y_q-7hPD$Nkk>32Yy5QucU{ub3FrTXD
zhvQ<KuWjRgxwQ~bUC<v)>Tj)!+SA^0ec9%6tzyX2J;oyQZ=1;oiy?i+7N)qEsmfB>
z=e;e$xU2d$tT99=gJK_6xNmXnM6=9e<nzR4EVMGv=`fX&<tf#dSj8)#TSg<)*$}${
zJZCA$2RWzTc)Q@CCJ`>5_0<GO*{yf!5YvH}FzCAl6nCGjpzqJW969(XHcC14;pJPl
zog}@~hbDiQWWtc+a1@x(E<sUn<O8~6xnOt!hhVt?uBSSWzQQR|Ez$kAwd73ppB9XR
zF!P~qjYqhIdHj}q6p$3%@V^VpfBS_Qf8ur)Vxwg+fWF7Z&;OT>su3}ErLee369MB)
zO)=R{f#)oov=?Q_Xoc%%?r-lH%|I<ueBKud!Qw>=UqU9?fDB$N(Izx5@;-xv!Oi3O
z!TI$|0m|u}Sc(F1&c|5>?L1j+k9K{#*W>gbZ-dVF&|OGuHp5&fw9^PgH&R+OZ?5}x
zXET6?sKWhWjzWe>E{~x;cWzd73ZzDe7dPh<PR6kHIw`6Je4v@bSql(~rcYm1BRPEG
z{|J6NcvDyHoAycH^wwMm^_1Uo8bj4*fFSq(3AliMX9fEN-Az1>BNODqIL3U*rNlx#
zg<MsZ8Fp<EEv!nDnOZO8YHNnQw80Smo#JPbCOKH{@8j$upzo<=bTB7}W9=e@Jc@o|
zS=po-T=zb8G7QtC{K*^==!3bYi5_LN=wxI&l<BaH1m$X!)yj2MoXzk!l~&ORx=mMA
z_YI<unS2(n^lcZIXJ_Cj@ge%k6?{*bhs$^jRNzQ4H}HV&V4g{jN1*S*p{H7QT7*2L
z>Yzf%m$PF<J<t4|$iJi^)PJNQM7xdd%rVS%j>RNAnSB<FVVH*_P>#dCK|lAJ1fo;&
zK~g2Ce08RL&BO4v=O-1IQ7x68%*Iz$t2=ZLcS}drP9gY`f!$4jA%IrGWZ1svfeF<v
zlD8SocF&{M>#(`wnQEgJj>=%djEdkf^=i&`?uUiE+wRUC+hoh_>Z!E89+^~M!mL`W
zNWnqWX-J-jt=l95VS+P~93*m=W!ZnYtC|LTVPXW0hrb)9=-ReImTZM4e(+?5(L(ah
zby9al9=k7~jBQS&^f`?LsCpqv>?bYA|6JkUsR-dFHmQ#|!t%qM2sSL*1PXbo1c)Lf
zmhkJDX1jIY%gyyiY*%3e0k#vbOTPrUj-YNS)%LMNiwo^=n*~n**r@07ur-HkMAd{^
zb_E@KJL^e)8jVj}BhZeZkj1rQX>Ga2?%1JeA_7-}L?Ou<0Udv>tJY};D^?3#hdLNG
zJzC9=bXvXLIf63&zt-M5psICU`<4=EK{^#hB_`b|U4n?9gp$%R6%>&a5D=73rMpxb
zlr913Qc6ORlI{|C@4?z@oxQ)c&pzLKzHj}*T1%NQ=NRL8?&rF%>vxw3NQt9)QBlQB
zXX(2Uu^3M_gC{;i<6Fh0zNF9u%z52{4plc0*-+jtS2t-=ig@4xgYd$%T*Mj_4PmmZ
zp&_2GJghh39+HaSH*o8^?|J?t`=I}qJ@KFIE1`w0yra&V_mwW<cwG63iju8mh3LWr
z`L4JboyoxEkV7NFWdAnr5b|hi40mm!DzB;v)&Z8V_=|+PHC(UC-jU2kl*movkvs0I
z8GjC4bq-L8a&}86n@h>HOHad-P4~|&@m)IWg00eJ<7e~P4x_v9Xw@;=ZylxG<4G|(
z|B<M>-SGxb7Gq$EF46v3v@-F^+D#i7o<4JUT0d;*84yuf87c`+W0z_rFL-Y#Bwtb0
z63pP4+0ss>mcUwdXVkV@p7io}EOGm7zBc=8q~!0)3nJ7O<+M7CRykY()9KHEw%Fy1
zaoC3V1*f9V_&#!P%Z>G07oa9UyW+JsKQ~3m(&l5%f8@_NxGF!1`XVzLnJ}$?^>n|9
zUH<dJhg^NPN4d4UON`9!Qm1)VG?mItmV}{~b0Y(r_!)JXcgtk@<M#O}lAjn93nlo?
z<9x9C=(Wlh<%!crQGlux6}(Or)8e1R?)mw3m>t<wGexWNI>CC|Sf~tr<{E!o|5&$!
zBdNvD8flU$Qa|;Hi_XWY3jB`&ZJFt`bRr=um1UdHS5<RI266p2M&z9Hxn_1dhseBa
zFVLdg>waYY4^4%>+qEMdJ_@<lN3JOKMQjH=x;3uJ8)Rmg&7qbi@BMm$%uA(d7e#6m
zM9d-?uEYEwAcT8{lLT|#**XRzp?fIi+Ldi@G=Y7gPg~yeCCs46TZ(dTF6T4m>YW+A
z@QALlWyrl#V5Da0Yxv$Gqj*L79j?oSW(T-FI?HA*yA3uuK?GMyMKAw$!|fKIf2vgb
z{3~g)>ss^#H5hX^_<Z#@F!I$ftpd*2mY?ImsA9R5J3u^hUq;8AePs2@+^+$j`i&3m
zI?R6xH#^t<e0u-XH2&CfRCGP!+&Eh$Ij}@V34aDwLn}elnDzB(ls4(_6nvvtt+r>k
z^L}kao4_MxOE{kyPl5l<Ko+VL=GExHg*E<frS}8B3pdwNtINFEyiep$_w6FR9Fb(N
z*1oSwg;vXRo~8v7c};>RRunJlhdxvhi(@@Pb*-b6OO$UDb8&BEfund+J7`dlv&!lw
zV^y9~-p|eCb?c;WJbib1H6kK|ys*N*b}pdg4X=qc>a+SXd1FJ^5-qQGev(njNgZrm
z&91>yH{<??y~c7gtnFqeXP>Ny&3YIkoBgXz4f0X^!MH2kS68n<?4RuCcz-gLvQJk|
z;K-G}q)R=LVT9hAD_xLCa1Y7l7R>MR|9LrM|0T^ay;WWV!E(a6z$6uh?`wE(V`A!<
z*m}R!^VJ!c48*+mEz$bvi|wB9CQ)uAUFFb1sMPqpxa3nJ(y3;@LJqaWTQPE(HmeeK
z0()*-JDS;P81I71zcSK>-8__7|LEYto>Ie>Sx&akB2t|ZPn)tiwE8jIeuO@eS@}?!
z`LnRNyW$<@jDPH^5C4)#|4UgU;)@*d(P11%A;RJ?(=G=oK9NXtJ#A!|*PTAgfKcLz
zv6*`Hlrt^uUTQKl1{-MrNO*)B6=WQT{X#pQHN{+?*{FhD*(J9oUnoIvy09nCXvxsG
z8$XP7ukW(5Ei-g5EpmInspe=Kc`tb&O-KT_@Jw4u`c>_(v4N?A*patWG|%7F!){iw
zk}l#+DNzT_9#YECb5CD;V;693DtYrgE}J7+`Tal|NvfQH1Zj?Y9DZ5J7J;_XllzF&
z=@sz7@%#bSNz!2q>)$%XOENg@My=D67m@Y4PqI+0p|v81ewb;Xq52n2kEETN?;G&6
zwo1Q`-_(Gj2;-hSzG*t&s-6E0$h&_P5kZlD(__x>%KBawrr=W+ZBf?XxR&L1mM(s=
zlxX#n#sQ9F3oTC{rAR)><0s>@EqRX2p7<ZAg}LlAu5{j<5=3X&ow6f&vJgJGaqr+3
zQ^`iq1+{%P`WAcme4EJXZq8t<X7&`e5<g4))YfYDqNAfP;_~T2*kA9u$B7)>k>#1K
zvmxla^q1`urLSc7@BC#YR+a9jadDU47IzgXM_e8Toe|L-%k0N0Dg=}EIxK7f5On)0
zIiga1niAh0GTo-~T%$t3YJBD$1z;+BtJ_G1?BUd@AWHpjM7ak&%PU9AD~st7>J6rd
z%cZb|(FXmrUEg-PEy@XUfuk%jcTFaaw#(yqIZrOxpk;u9HQ>q+dzdTa8<&7j#LZU>
z39GNcQb*1Q%|bQC{aH6i_BVHSMxWFk+&iJML0l^7^=tRzgNbt8V)J1i5=l!$4+9|&
zj>-_rLR=}PArh4Ivzc-Bh`KUyFuuc))IAC&7$^Nw>nQh)xQTDeGVei<dq{Wu%FF9c
zJ5M@FJL_eeSBNqNzouF1j=9oBGvo0J6vh5gX!k9i+(Cg-ui)G>j5l;&Q1DKov<a9<
z`qU_-xx#R|vk5I_hxG9`>5~PdLF#x(_LNNIK(tg;;DdQ+)5k}W20<kAL78vyOC7rz
z>BiA)gR%xX_MTU>I&d?j0$>49J3Z?=m66T0M<X(OYKvXxWmXD<8*Xwpv2|(HNYrjc
zdULp-xw-agK6CX=Q7TE-9GMH^xM6krZIcIsLH+2!Wl|S*fncnb=}m1mS%xg^`=Vk#
zI$HRiH{@A_(cji;X`jcM5|5ve)CBj~*WqE2k{7&u5dTcf=(o}@G{M={{pgSp)sEnx
z#x)SuUfIsLtNx7}-NXq8T*vENs3gyO*Tp=K-1LjhgFu!xQrVf{_$M=2qq{nCEvrPV
zKFj2mmk$C)Pmiko#4jcX8VEz#4TN>(7qx<j+e>`k9%ib=QPNM9*3tz-?or><^SCDo
z3`Sr7e3{{tf$@J8-g<GCI1qQ)q_#uap)@p18+3>bq{0s|bQuT%DP(;|Ng(nC27ymA
zFK>QxgOhxLdNR2YqX|$kFs)wjrmwMuimKeI2r0`jRe90pZY(z99R&OSw9z-K`q+6^
z3+uq(q|r0^lXQm^wz$nvmuAW$l3iyiCzSgN<2f@?L!p#uk^E7;tLgW99qM&+FDvIn
zU(yI9>a!A1I;Si0TRpXpdEDV*Z0gp?rDRwj`H3LM$nGeUp(p(5jPR0XHbd7zY#Fzp
zv70l{c8FwXXkAYK&|`k(V2$>t)I_=f?!Tv)ChX%Nx7!T{G26rat;cIB876dswgvCs
zb1n{k`C^u#`FVeT|JS(6JN<I|A<0IDtcO_>Hc~6C50T>Yf`SRW)UC|xg{-$SUk$yl
ztQ>{EjXZUTEsc+_5>kbTFYVh$$HMN#;bK%wJK|A8)(5a={=o}-2U1pLej$A8(RZdJ
zL=KyF$gg>-3(6qFgF1{d(6>H>oWy*2$WXmX|6&sZvAGC>;u9x+El|Y$ofajIe{Tpn
z&Rll|TUbZOKa;@#95{%`+F3~+74S1bYy;z3{_#E+@?;{Zbx=X=zT|3`S$|<;KisjY
zKVFkM@}J&#dSZu#?6uRvyYi7QcMR>o8)yAV;}2JBrWuQgeZ~Cc6YwG;+=1^A6i@0R
zPHsN-n0Dk%jux4<Yb>_0=hIv3|5wjtkYVRs((d!ICll_nQcO-m#;||@S#cD!U{eML
zhV6}{<8L70al}cumZ>F*4|7(`rIJd#^}86MqH7*Uk0x^XHGZ%AX^&D=0*gr-<u4rC
z(NZr)Yi|544Xx<Ys$ZVjvyn`jfr}=xm8|}bwa+F`HXY_69y%kd#<*jQs#L49e{Z)v
z?V051NBpLSXH50C*Q3pp&#D>)OeSHW4J}w{-t=R$Sj>4~v)svE^nKDUJpV!?Yii7U
zxrF|d1bJ7)t(c!*_*3lL^72#d4%5|`t5`HAU$R+$s2yM@ebmji$$&qoP;rSoC;al+
zE-^_ChRC)uSZ7iCjnq2mSC@0n5J@-vLjfePIqDd>Qgu`p`Q3~5`3+vY=9jBpBZQa}
zL8Tf^<s$etX?AaeX$lPu1>B4d*o|$I$+k0wGI>kb{h1HdGPui1={bLuQ8w!2kasDU
zo?%)hbK{9NO40YGHIg6VKc&}F!l&TA=A69N6<Oy<Xfp4olPT^HcgOTQU)=lWh2tMh
zy{S>@mdjO+KN4@mUa?nnRCG^a=wj-OD!xbKF?`LvSZkQZrb_XAO|#*7ty@8q#ywP2
zgbxgCagUwX1JkMrDDLjoVG@sq70_Puyi_46%7rROcv;bm10DXl@M{FL`&%J{1g4!0
zuGH~Qs1+$kde_dh$mD9W507zqcJCh?ysIAjcun=$-(X`U*Dr1<TsWLKc0IIEBCTWZ
zCoD<RwmEI^ZYFs^l~|51XsHUSKurqi1Fcg*14fwW9A0PDFnj#=W>6gXHM4I$v<?NR
z*rFjtbGT(rt56<K#N^lAP)-7VkqA#ZNh;5H3|8$dV!KCG84c83m6g}ec2bn6Y9#u%
zx4&APf1blwzWq7to-~?OIKSNX`s9jf<6Mf8q3^ib17a`(^suBz^$lt4KdZQ45kOvL
z&Ve`36Vey(6GvXSKQ`8B(|T?0wMt)%$!5os>t`y>7e?j3qz<<m58h7so7{pFhLB-Z
znacPs;6N;xfBV8%j1Suoa*DAMyFQh1J_tACzA);{pmdHzfmEwB2UevEZ)mfstP2~_
z{71GCCJkL*Y~YFovPv6XpVC%TSFE^o>k)_ZR?-+Ii->hs5s$LU{G|fX)$W8rvU;nX
zXB*dBHZs;elqks>7AZZ5_IcPc=Mq65qUpqcTdDgainK?iE=K+3q*#}}!)1xf-=?jn
zT6}q8W3ta!)xYy0!Z5Tx_fSvf5{*<Q4XarI>$Ml(yINzd>Te2O?D<cyA>weqQVZge
z8v?Bq5iFQnoj$_JgwbdA>W)s?p1TIu@W4k#bU=-Q_xl>YK!Mz;P6|EdXZE?8M6<<&
zA}%FzrzCJkPdlrAzV`M92Nxf0#tqu$=<KF|eqy8FOpP^kJ2*>z@a}Z|T1JCQ&fB|F
zxE+Mu!!S%5bZLaf7pW{AX3vKLPP~z@+XUsw2aG@OwUK!xQlR%JXTQ2}#QoqXjG(2`
z<B<Dga@ajt#iU)gKC!S^Q`~$5_)ZqxdHL4jILh<?#;Wo!$Fv9)eOQ_v5k>4>uv!gk
zGa?j^fEy;`{;z!B>P+xm(ntDy{@UQA%R!2@k816mt-F$roncj!o{{=%irUdd)oa`8
z&U*CvoL?0!(|}J{*QpZjh{Q98_JYeXP<DuYy=3P6%|P!FN{hKUPi(^~>D#y_k&6(t
zaWWz_BFH9ukXzqS0|0y)r)EDvV$y|f^R`0>s-|4irLSpURsWdmZrsLLi@mVNSIOQT
z^7-ZeCfSrz&47K&X*IA|!ORr#c}dS0ub98?dw3J>(juj2TJ$A0K02hfWPzc9>|SaO
zMihX|GrRL#r;PIb3Sa0~BUNlAS?7NDNWT=jf$tCE4ECS*NtOE9_~|cjl1`1~CUN>*
zQPys7eYp`ZuWXS+3Am(i^795Sxq|%XHH8h@^c{SUlt-x@qocp`U%1OX?45k*^<-2$
zKBmp1E`GA?DIBQvn4Q~Kd)DGN!l9ObST!)z!(6|Qn><11_&dLOayTvW(Ub*ATUaUC
ze|D^lXl|JqTT=1ZnX%|&&Bb4Fr-%;6bF2y4&r;}&e63427k@fUW9kPN*SWG$6;X~J
zwQ1?>a4a!j%|H&)hP6A_Vj?b&k=v<0i9UP~Be^z0>#UkCy#IsJt*5$Y*Z7Uj6jryz
zfv0cb5mvloOcU9KfQ09FNTQVDru!2L)i8CQ@*6N&-Yvi;(ltt+mRUfNYNqR68YBN+
zs$BQ(=vlcOzMF`g5$pFd?DGs{x?233YC#O=1cyJ6zDIenG+4e$T7GT%J3mo4lf`@S
z4|tvv$zK}SpKP`;g<QN#YtidNEwK+-X>J6>^2RcjW?U1B0&gi!-<>bn3{N$rKff;N
z*3Xq=F@YQEV$29PU9&#E0H-nE_9cANciYjaJpA{junHxP40QxE(b2`W*CP&7s+<%&
z^4YSwDVnpt`JvT6quF|-ygXRt-&_W>RC)8Kocz?duyk9($QSib9iR`fjr-_c`uv4^
zaf1W_{1S;ptjS!e((~`K6`GwYyLN~510}CL5MTF^L1|B|rT@c~gZj&r^Ov|uo5OI4
z$fldkS^TEhdNebN;#bP~+xD%jX;kEAq_YzS(SajyNbggd1~Dxfe>AL|{OiQU&KJc;
zjII2By^?#I+6F;qe-+T0yhT|THT(ZsiTeJOtAE#>mNQ@Q-QKvSaR=W@<JQ(!k<Ib6
zx-8sMm9@k8p)9=1B#%VWEnqL`+e;2U9SmF&#i_b|$8kMJgIX4*<$cE>QNcHrJa9l6
zBTtM-?CzzOvRa!vpenr&8Vs%Jzq1($c)i;A!ke+yx7x;!>x6GsB9$%WpY^IE@6e5>
zNcpO_8YUCTdmK$C-2(1buR{#@iv<FLMDscP>9M(81B@BQ1y$E0+Ut!}c&ZPRIu))6
z$eV?4JM$9OIK1F0oh^${y3ZiZV=){n=bm7tT5`|wg|SO;pFme1SFFRsOyjEPGs+y4
zRV*fRjWWWwZfiOCa$qp;2A{}~3iIk$=}hCwcY|*j;q%w;vJx$pdamlo5I(7DrY^O*
z@b~2OpS>+eh|9N<UBIfyr2RP{v5ot*2cIz29^aOXd!}DA?2GgTES{@o*D6>83+>rD
zTJFFvkvy9nR)+oP7HeOz@RoKqF7vx{pJi$H`?fMID<vSbyN#RJ$725V=(>*JOjM&$
z!MG+$4c^;Vp&CZ~tw-q-4?6f@|7z~>d-j$XUM_u*S%M%s-0D3<jA!}T{?r(KTT&0^
zI0nyYH~Q0UX;ikI$cu^9dXEpJ%Bla;5+Q)mCmA-VPJ~TuWvNt1*yKP|L&wr{Gb}`l
zrbKHIFr`;GSk6f*=(gUpxJg2hc#(j`BHQ*lv3PddSydkeHXKG#)^ebh`v2VW56qib
z`xTT;j_<aveBevVWT|Lo%BwHiU8t8hL*4bA<IvkN^wP{`U&9`johA{#u+_j&(A&p>
z*Tj@-<g@*~yK(lFQZ9eW>1<foh$<Mi8rQ^@w3PHr&jcEeYGyj56-3KI%Of|cKfmWa
z`fkFAX5IV4G`h(6*B%9E2GZ-p_3T}=wpbYyXj2Z7+qh;b!_x2l`<x?}FD^V6d_i#m
zN9TFuJv>{o^#U~^l5Jf1d=|{eaN~b0>9OzeDjh^w4a7L#g{LnD2+gRfsr|Ma+Q|^X
zTfD@kE{2D8;k#+|1`wci^w^^#2^;G6IOFTQL!4@YlwFYo8RQRP9jB_nJ#)P6IkyNA
z@C@fU=dPy@buiQ8r(FtcJHASP5O(?CZY5r;Cb!Xy7K|SQ>i9tBe>C&v$|LfwEB_Gn
zPoo9vchcu5a>F|ubeJ#K*ax;ZH*s-AurN^0Wfo~CvB*&J)6n!drc3+C3gX=ryiAyq
zi95PiLdQslm2c;*uR4u-{bK+#$Wzjd*$~rMo=gny?cMJK@!;0`o#8y`tjvFhXkWQZ
z>3km6grGxy0_F%4G!`*xvXGT~i2&|bLA-2IOgIW?7?Sssohsjp2$FYJFSjR5WEzlt
zT58`(UrRH=7lLY<Q%V0*TH^d`ar;yIh03?oxbgH!DiCpD{c)x$K=4$}Axu)XN#J8R
zF&H3xXp=%qB*D0lUpo#be8GVkzNEcZ2>yN>5M!fnb&GA`Q1`gSdFHi+?S%UdQSjIw
zKBoKq&4V0o=21~TO%G^HAo$^U(hdVVM@|9xnW%8q^c>h5pds$8Fr7lEhBp#*O*Rx(
z!1bOBD8jwz(0q-djwRQhJ$skd-5VbIy05tur<a}?%}`CgGfHk?^q9kWPgvkCr6iku
zKBu$WH%6_u{_7H0^mMvcD7{VxlyE0H@R{H3JN;N)9id<DCtPZ2?7Q+^tr7H9Rmi(2
z^~>%wPWj52smHV2(%f?!vMr#7*m=1YUyBqy`ZCl1SEX!Zxp2AWz}^-3WBx}Si4tPH
z&L>BDTC2}=IY^KaGF408{h7)x1`9WIbiA+L);kGO(oO98sU=BD%=J%9peF!Av@{ck
zE(3g+I~-uamo#DC`NoVya(A+4G~MR?$L5X>Ffy^Y!q5c2YCjMN5iiogo0p$bDPHF1
z58<9Z{muR4Bt4VP@_%nhE9`S%+O5O2eej@Xe7mfC7z`(9<bRZndH^YDdz#Dhsee~t
zS}2PQMcJXISdpCNbqw=XK@5|p&Pn&0$#{(45`GL3RGK1EFs3DeXGq_U*!u2I)-l`+
zcAz7hn9apWA7D9KEpX5^3gVr0%*3HPsAx}g&QJT4!^&68n%7WM?I}GNQ>PAQvdK~@
zrTaFM>J*wIIUdAS-2tvPBEtlA?)SxTL<`Y2k}=_HQ9;VaR-_-yfo)8S8y&P3t+Y0R
z{puBf9ES<64aaKb{HzdklYG*!+ey}ep?e8Hap~J&GPC<Nkn_0ER?z0$74?$w@p0pW
zpBqoXy7%_w4PgBbNj8DzdXl_5aVu6VaEd{A_hfcN($Qwt=u-JVXD2JV|Hw{W5!+Pw
z1(DkVK%zgYw7Z>ekTB;R&I_n`{SwRGp6(U5S+ONwDuV)muDMmBGfrZbzP%shPDD59
zp%mW%@Jw1T9q+c3kDAvWZWn`Qq+jddey>V1XULC;&hHBfLX5gOT17A<qM}?ATxFvd
z-ksxlvV0dDm%6E@NZVG1zetuK2h^jXNY+~lwu1ly14|mrhG<I}b3j~5U#tZn5Y4&$
z8f1`Z2N8%menjaM)OB<qMoT2{x4gW}@Ui2WcHZsbMAv1SJalJjg(ip2J_`noMQ|bq
zX&=$YAM`q`p@$e&q1lnI$~#^PDd^>zpxm$t=DBY_r;hUZ>~$zjS#m?y@=lJoAW?~^
zc9udQKgzkXnl@7*NXxtEO2Ath6Kl7Qj^?*nG78`{?fPDAp5=je5Z;6pf=kJ=O1N4o
zymXazWbd(^qy)KLhT;_rQAR7=wal;@U?TgK^<60hjH0nS&6Vs7%zISPvkxQH)}pUV
zw_~_`NO1Jtz=kkrYjeH8(H)<&j(0b%jxv?V{r_kb8^r58UZ_24hp6;@2uzj%)$IaP
z4tQ64*7vFo;ZO2F<O1_%BbZIENbLoH%so+zT>f{|xhIaorjm}(4MfrgdfRBQ$V}`7
zaDcrf=;#2k4jEtqF;iah%JnvO{}Fqe){m&9-KHyxH3!Rd`+KE0{Rq<!rjmq!a=w*k
zSc*6yqdU#*K=3^g)Fys+PLx<@BMkuOi15II_%dopX2U2G*XiRWo27FGo-8Aa0|rEz
z*4oZydR}*We27H+c{fKf%b%Pzs7If!^ahp4t(L}w&gT2=(VAaF=gV?ND4X`#jVCZ(
z`MTq_8Qb0xd9*pEg`fXam6d+wd=p#7>ICf<vZ@-+26p!s8LFYFpLCo9ugh`}DSV=7
zjbAIQTVveU6k8_Xc_5fIFx*dIB*{Mh)Vu8zx4|2%c&eS>(qge#iBi7^1g{dg_fx!?
zT6Ogbj%uL(;CV+TE=&u@UJpmpq(?}(G8^ChLi189YGOD>^L8lZ#jHoRidKS3L8q6J
zlXi3l%F9x?UVNOzPF|bZx~bC3=TSW5sF4%3xExbs1Ic!<`Z1P)XTbF$%NqjJBrnm+
z0@|Mug|>to@7D`7+NEDrWjLHo)8v(h3Tzv7f0ACK`y$Da2D#}N`L2@JOs>MXCh&?G
z0=o6_BqHb&rIp(fd$uyK^+$pgr9`!n>%+IC1_F*J4cEeV9X?i<#4m+gw!}Mr5jI#~
zukVw4gdUqVsuHEm=M1pM6{#NXiOBv4l&my4$H_0UENizNB1Ik^uwmrf-CaneRJ*H!
zOL?~ord3Sjy<a0a=h#_Km+_Af2pz+}?T%S%6^qWF(Ji^86JlZ*&iU-r#j&1(H4DCC
zs4+uZIB%*+a@Vt_*+Vey+QD;yy*egD*R<gRUobjwVa509Ht$>tTQZ$Wm|-XcDs%kT
zca>POnP&6(2E~IyXbu?Fp7O`<Pz75RaZ%}xUt0a9lFER!z@M}eb&EuPB<oCd+?<PY
zE%qDo4<U0x^59FT_NvbK;lj?ct__56(}qqFEzj<I5urocRT)Y*hW-tm0(>;irE(n$
z`FN~xytGCm@4r)65S2xW7K=vXO6BopEKXK)WvpEtYx#=TrO6vwH2SLq+|Gy6JYbuN
z>SKyrUe7$>cBgbAS|lNhl=$wzUBk;&c<Wa4e7+3RE`I&3KtWOiF}&3b6-}}$H$@oG
zY~?9jOcOCh8>5$=-{Xn$hPb(v(Ee`?!<Di<?AOAZ-Vo6e_2&zcFQWj{(^bbGWmw58
zS5@pTD?KT5`7L(VCLZfe#O?p=b;=gdYRuCN_Q=v@<{$WhN#H~Ovo5EGDU!OFzC;#g
zHrT^OfHyM`)7BoDTy?$dSFv2H_vMQO`n7pyFIMBl1mVfPJxp<8Riu02h5flQgQ@gd
za{I%W>li4Sd586dM%UYKXo)X{B|Oi^RAxRn^MsX=W2(Q0BtK^JF?d~anH2R{MskUF
zNK3W&*Gle50ei~Q6R<@ZhSOh&!2ARGOWGQG<|6LZ5e(-oYpsng-M-UO6KeFwc`YwR
zaM?)zpn<w3|9KqyOAX-HtmJ_(b5M<@xd-GE=JJr^$?a#VO-&&uw15FMNN2L2QEpXa
zBQdj7>3NS$8^S;DrlB~s8NF`pLhGImC&jA$^I11Ye}&W2G8G$F<xc8BZ*Aq1V~g(+
z1Qq%3q%%1F>Y7{|#$aL%3|eGqK8&BjB_dO?(NL82xCO_~lQOU7hH|h!)3?>kunDdH
z>I~XiedWO!UzPN_Cr?~DVha|UgL;H&>^Zh~JHtEcum1gNAyTP8;M<DM+bSw{y$c;B
z<$7i3isZ5dht6rx0U?Rp$nWjB^U?l0!)B1JY97%v&RCPq`hwAHq>s{LPH()^J{;MN
zR5nUGz)=b6I}75dZA8y1U;0>h6z9X{Z>-nQhR$7rGA_QvLvmtxe6=jzgGY4<))@z+
z-_X`m><d$+au2c=C&jSs&a@U|^vm^h*#K+^p(r7rktMwW*gnGgdSW;*$)bY1rp)FE
z(mu|24NVEXl)^2NLiUsA|CBcRtMmt5<9S<Nx^#B^(wj>APX3=oHlfLv5$I|cO}4a8
z1#1tl2IO_Ra){m%gC->;zZ6)yx`s+`9J<|O3~vQ*yX00tEXU?MjU1d8VFstlSH&O_
zOq+gbB<s>XTRCNG)`pd<WL3G3>&;>6B!idj6FplZ2i{GM`X*VYA$e1}`hhI6Rr(&C
zE^*z@6r3~j@pJX(gI*RVl-m+o=|<=<_pBAvygC=6cFOIJ+-fL<?kD4WcEa*)U+D`e
z!2WI0jlo#^_&=wAttoZw=-!>R3UH#JRc(%?$&PU*6lu-5lVeLbN6DKWhIx4Esp@nO
z8h=ycrx4DcEnl4dTn<Zd2gI&bt9E)nwOk8llO7_C3aFcRrBc6}=xk$`$|v7?XzA7w
zKJRu}ijr}4xcYP2<wPzBUd*CCO%?NvV2tTD9y)cM3;J@+u{k3kJksZ(^-J)c?QY9d
zM-O@;OZ%hX7c-}-GZet(93SLeu9f@l?Dp7o4<pHhyIMp{_T9Ukej9P&At%!}n&?jd
zwWtF$Zh#|K^`S4`<vi8H>eJO>wt`*>nALXvcjC1K{rbG)G1E19zb||f|M~b|En3e0
zff|CBLkd@?G#ZL{zB{*vHs@UnWL2A&REbDtk#T=@OTFve%J?IS%z$Ku?VzOQG!hLb
zg2<fg{j!;Uk%9)ri2e+nt%kVuj#qBAhZ!F6R^ml+*V-`vt~x7H&_VENu2?3+>cMCg
zU#HR{x$5)FBN$b*&#BY<i@xui_wWdh?7IMWtdT*gp1YxnY1#iEl|lzNieE9b`JHBP
zbl-uPF-q0U)H?KKCVQF=BXsV2B+ZPLl@8=8SkbIBXe-(x<<_(W?|ive6J!|X1v0mB
zFX}Ug9yQ(DZqn!dq`%#yJHryt<^PDuG>N#jLGbwL?px=@O9nxp&xzw2bKo<fJtzF0
zN{`~9_n6=X2g3JCZloK^EFekD{H`kjEST0VN-?tfhe%A0STTT{?Fz*xu~96w9&=B*
zTe0dqP^u^CjdbG@Y*f?#)^Pc!r;apR;bsD7?&-Z@TFd8sX+JIr@Is0g+bV~5P8!EO
z!6lpih53*o{-ax3DyK`d<X8RKo`q=PseJyKXFS1t#$QKunuAXE4QZb?|8<IAPhlsk
zr?zy{@tJxFyac}a&#Rc_i%i?{AsqSkSHof`H(B<AP2X##i};`)48)t|#N*xbze9pE
zuEw1-H!nXfpI(nKmZDGceEg0^Vt{ydyqT$v;q(Bq_Q%5dTWe$eKs?I;71izESw`%)
zL^jv_`we$XRrcTVrieMv`u6eV8kHPWiQJHgnW=c_G$!Qgvuz1856B|J*Yv2JO(UDz
zZ@LhhJS`Ayz4?~1Staz1l5FlpBGwAF%q3bAWlg8ZiLL1CDMAZcotW)Dmy~YQukp$|
z+q1*SgZ*noESM!5T@;-JuR2XVCsBt#N(<`-E(ayq5^?)X6|<kuBjh-g;dwHD&f@dy
zlcT*x^9#u=PB70pozfBX)694v&OsO9Q^X^mpYR+=3U%aH(@p6@vIhQ0r2jYBS=PX}
zC2BPSM50U_A2FA5OCFa7n3)zZDU)zZ-)Py0QaP_A6eS&ZrcW&_^Rq>OMzSVvX+h+5
zjJL!{OG(MU!drZZmE1Vbfmo$0QabBd^qItU2KzCRrfZ6kAZLM;Q+jP&Qz#t=Z&Xd^
z+;~zD+P{b=n+M$61?)Bf$qB_>;aLflRl$`B#cx9ZywF}RY-%Zct$}l3^qLqOooofo
zxA#mFWEZAUq&|sErG89tmbgaI5R!2=>ATx2aPZjFSPXQanQOFvj3)YTtWye1tVI*U
zV^De>JQw9^Ef!;8$_``ZO-3hwyyzZvM<@y)ARMuK_oe%PZby6nmYh#1>M6%Gqt&Fg
z*$fLb{L!>T^5s67b>P<riPuK9t3+ijD-8$LYesz$^}oFgUP=@-P>Z`9)o^<TEonZo
z+a;`foIKOD^ZP>*-y#7ORtpg4y4G2;8ynt;B_Dzn_vgb%APY!DxQTu_#s6$$Pd24I
z()BL4ABWrSq$_ur{j1fkf7+|9=4GrQW99TKCkvTG1`)iG244a@NQjM|<S#7}9!IOa
z;r|Ru78;xa1#lcAIy^*sY|x2KN8Yl9keHx(2X&l)P4qqYtuOTtJ=R_t4uKG34>7Ot
z{jcRCK|<q0i{DRBJ!<MO_76bkxf0+{K#pMuHft%S_IF0Y)0x+!OODGQXGa*Gd^1KE
z{D{@yWE!Nu)bH;pwT587QA-g0;<1^=G<@!cxbg8S$*~a<N<+IZ=*!wAdhA=B3}FLl
zC;uHpvm|#ub`M{XT*Eu)KK|Vu9i)vM;L(zrq_2(nz5ZXIx7?xEZPymb>a@`*G>RPi
zV00STz045MJY*4(Y~$Kp<kNX)P(1>_I3xHo8mMZFU_fV#1Teg0?bIdr?k_AX6hn;i
z2Tvd(A$>|o0tpHE(6(F8_1pe_J~$X>dZBjW^v5y!w>JrLxU)K3SaN*_s|3(Aubx>a
zTd~P9SDyKJDBY?{B4glo_7Q=8-ISGMBnccJO&gp_Wrp65oOW;2@iemq@R#qDb~2i^
zDq4-=!;GeL)w}5jRr)WD-)i9}MX3}@Qbt`<#3|(el&pR`llnQK?MIG#_@*>3K8{97
zpSzPvy@eCRuz5HYke-kEPMvfnmrzeSw)PR83Ad+kw{V%C$MQ!X$A)+#LpXtQw{WlI
z;ExgXbVOb_?VgjMUB$yKhIL3>dQs|Po;RnzTS!5EKEt*hwuew?(z&l+u!!i&8maf(
zd<(&}Vr&>IwzK=WKk$A2cRjY7!^`h}`)}>+=)1bQ4%K`vSq##;aU%roLSj^EM+XA)
zf>Cuq|MvRtGM;>kACU_MVYA1x<J;6g^P26RSmr^3z~D=f^)v^N*AMDHG`mc*%0C6F
ztt;*3$TtBMOw2aPO%k1uknniTsy~xxbQa=$1;_+cpxnK$n7SS(h!SoF?}y!3#h2z+
zcoSDS4625JfX=_^=;>LDL`}=AZXE`Gz(=P~GQAZp#2HEPL#H>?Sj}<@lbGpDZ_wow
z0JyummoA67CJaB{jD0bEm=N7iR>vt8XovG;UHSzD`}aI=6M^4P<a5ZH+oo3y<)T!C
zKj2r<WH;1S<;j0wVsW<73EWX=Ydf3PwzQgweXqm#?&-oa<INAmhK!#V7I4*sdDoP_
zTbod#`B2yYTYgm`aE4^|^-M-#zT<M$l4W86L$y_^kkSzGxMV#Ye(>J-GPN5CwcCu<
zAY<vvIp+^3it*gZGA-weQ%iK$-Y;-Jab{RmXsgVKp>LiKBA0CC_n3&Eq+|V7N>vl)
zvK5;)^`NGaAcuhSLmg-JX5UhoZnewfMS>AhM$g|54<>P?EU66L3K>904G7l0O8!>E
zS%QL(o7>3TeC73lX6h9F1t*N<@nNd-a_5pCW1zmWZYvn$#$N<RpCw$ica_n{=KfUw
z8`l@-+y<caMtEB2O<{gV<~`@{zV#2w#^!fMct%D?*X+o70LteI<6cpL%%kA3S{k-U
zVu-rCKo>R0Z}Fz(z9nOv&rG4n$rm1x(XQ_>i`I6kIVk&+J<k6+Ps&#;VDoioq|^p*
zXRg^}$m)fpr58*3)r<4pmu#GulVD=+<3dO+eqk`Z1kvWh;iSXip17RtZ6}FIwQCzg
z^!y>6(tm!5jUSwOz&|cmt<c^ygRDnW!D3xq!c&BZjcoDgU<DamFbd1h&lK$+8{JZ9
zK8vmrK;gsGSzz1QesAzCgGrZ_U|_UEET;hN*MIV4rzg0&g~{{VIJiJZ5KAh;RD(GQ
zNI(<Py%IP(IXB$fjv&H2gy_~cB(@^&c^+<UuN)t(IKlc?X8qwr6+73b$&`a&$&m54
zE%c7B7(9Qkolx|F_P>-;%k}@TnU(C+9v_w&)ngvC*Zx*Tg1*SuVp-2)rsFlH6O(F)
z$L7UR$8HJ#qpFRB6?*GpWIg~4LWYkERV+&^(u54)JPC@zvyYzsM@BR)qjdYSdc393
zgxf}eXDy_bv2*tUSXl{=^&&jkjgm2U9Rlt-d}g_rcp$OzGz4Ktian~91I9l9CqJma
z;B=zzG<EC|7sUPRi-Xe)eOX87NiOt9P;emSN!0l7qniJs$p0008Gl5OLqsPyl#`Wc
zy|lCh4pS=vD$WvU0oj#zPfjK$JpQUHXw`R#PRgSSB;(}w*q#5^n`{v6yI93PhK3-H
zMi`ob;O0)BG?QSUGL9#N^6Sls(E~%e8<ytaZ4MbW{Qb%BWR`R+Pb0)}i_D2^2CTk_
zzlZd*y6|^wIx(lW$gV4Syw|OtvF>uA*zorcs$Fs7JNMo1Ou?sEjLf_l85uz)Y{<^E
zHa`4U2<T+8w;Z{=Q?EP~B6nMvHoqzaP~$KH->VROxcudPS66Hcyu=mf<r)~BBIItH
zCSN?eis-t?;(>f1su`N#am<~hPFy)f)f@K;?sZO4m_CyVgRZ&vYmax16_5%b?UuTT
zS*5$=R?ZE1aB9DREH|SB?9si*<Yk7(12^H08e8!Y+V8NCJa-7=QeSw0Gg=X93z9S*
z(`Gps0JNkLhx}*nP@!p>{7Xvt8?b*r0&Jkd>+6^GDjr$2H;<_3@r2wYmxoNV`sO>d
zJNy2eq7*HIL+gcl9w<QOTRTz#6)5I%(xr-2$@s@-Jv1@F1Q!}53e?dwc*ex{%RLXu
zEn#Qsl{(^{7-Q(&Jd)Xb5?Wq72)j~=g@>s4e5g88yZ@)1{V1XFSuh!4z+yRHOv
zaOf4AtBq~wyt}P0_|^PjJE~l6&rNcFe5ZyADXMyDEaFLF_f&xPMdS7kOfQQ3d_NUj
z>l`kS*iM6>HFw*zLoeF%U^GP#8P%N@92`8iJ&F$T0JFCo(u_(40;AAK#p4ByIN=@Z
zJLVRhQ~KlU(R1vEdn#j&<*-FYhm=#4m=JryOdUC7D03Pz4=JF7!v#iV_)Iz1s7h4j
zP--Hd-hK04;75p)A4na~9?RuuvAIBCyzmCh@QrMrPKExD-PJOetzYo5B_<{scW>=@
z9`E$R$~c~q)Gc-Vdu|Es>3T0NLS2;gjg+Uyx9^Mm3Z{$*uVRTaeNMKpvXF0fZGRy@
z1i6*7bvTGW)vWq*$>GvJxaLi|M6V|hA_WlI)JLKWV3;K?-OKXa&&sZ@cDEci&{qPF
zwx@M{t6qD&h+}GTm#EF$taT|Z(ks*}x{p_O+^Q%^mhhkf?{VQr$5{nrO-j2On5y@V
z652%aKm*<Dnb_IdlJ}LlaB?-T2L2e!yO)pv_s8ZhnP1?awf&*w#MqhGXh*aBMB&@S
zQd1mT=^!+7q0(?_B2^^(^uMoeoU|1j8U3fQn0B8bPiL^?zU2YDor)=+A)KMt8$<9@
zkZWSK=jL%$@V`9io`F1X5)|`h3ITqK5PD(l8PSN_+n61N@&>tm9=C`A%GVCYw3pQG
z=hY%^<=WScHhAEx1~0O%&=It@ftE_QEkZjlwm6@aR0jRM3PISi1)nT`s}LFMbuDEt
zE}mHvK%VA*9)wiIxl~oz6DYFT(=nlpLXj5d^}=`-n2z)ArCG6VobbaR1#kRdw*eLi
zERDKUN${%`xHCFWVpPKDsipUo%ei7*WrnT!45q+>gt&$^tR(?FsR@miofmmLemhtG
z2xLd_9Wmh7KVeuPoK9pK^0pU=n~{G@5#KO;Fz_=W*pGhjYVgQDL}L2^lZ{1x?o;|@
zzJrm8*RK)mF2e2|B2}a}1}sPoY&S!$;~R_+0Ptn-*!|u~ZJ_E52@ROs^kX;C<rnKB
z-#0f~F~j^%WrOC5D_`DsbiGk5zVkTLpUL9`!rVaK0E~?<tOf|pHZ16TYabLMZg-^k
zo4d!nsg|bHq`LdS>z>Pe29Ph{LAd!b8rgy+ck4+;K2aIkf}4CXJHA+VQDsAz9#(=f
zSeA$me*+Vt|73>M@AdX4uYCuWxkD<kDjUTa!GZ2nhk;9Y=r(Xuad^e^*cIt>Eg>f;
z^(x*q1&h&@dSnV#bocC1MAGkclx~rnz=6VRp{D<d!2tvv-$St714rg$1b5rxv5Lpi
zNibZx4_a*0VjCTNOAQ2Egu(qE=#1cxpdD1xUKKQ=J@ZiUH6Wr<`ehuwJa0b3ui7XP
zl7Be%zOE~=1&Famv!NEj&|NdF-T#tb<~k-8_s2A+dJ7|0$Fl0}{KF^ka%Eu6|62Og
zZq_pXk2@?Z7G6}Fjlvat62B;SDn;ML%95xZCX~nq=8nY=J`WBNUvJe|M3&cksRIbf
zl{!!YmS3;)$V{>jNMF#pA8jPHOvQU1?e)UsA1x~6JnLjr_>>)PU%zw8V0Ul2lG;ct
zX4`VQke~oo8iB&SvPuRjE(17Lb;iNF2<R*y6WK(Lmp9?~!Y?cgRFIB1A+G%%f62&4
zIw*^-c#&QxFeNq}OZ9@bM{M$!@ZBbkk9Gz>0a^qrY!gU2K`FH>D=UhHd%@rSSU#Gd
z+)2BdpsonP1|{D31exO52l@(Rajvzh<t=g67bxWO?W-lA|Cvg`ep?Rt)KU+3CTi^$
zmY_tULP7|=2sYOwX@4Lq6%Hq274X@mLh|R*ujS=n1Zi?~gv?#yH*1TWLmzLW7s^uK
z8`gScciL>@CLRBtO@qU+;vm#l_Gr(Z#iy@QukORfNrjY0y|6KVp0h){>Tk}ag(!qb
z?$7mb=Fp+5cq;a0;!eI1xIw`++ok#P^N&Q4ZAnNJ3(YHL!+5a2p9*`2Jk#Nv;>jLZ
zF&(X+3b>8suiLnti7kVRB*7BfLzduv=>;!G8Z_AlhMDd@osQ~VDxY8k=SJ;IkAu+(
z1*B9?gC%_o_Ng?!RqSs7hq{@f@xs1pt$FVAm84e)6Dhm6*wHfPhoaPe?;N-WsI9?Z
zv!gg{E4U9?DN;DGi&nrB`Eb<3!op$`sUd>lNh_R#;c(|im~2-Jmh2Z_J$0M(!cAq*
zuj17!wbtGQu#x0GP)o>xC&RKo)FLTZ;e#f77uyJA8x~~iOM}Xiows-nTs{Ge?wh@H
z@C4IaPwjDTt!C;gRl|eW3p4V_f|#Tvt<mTZb%0V^!pQ>al969qu(>k?!U<Dg|Dg8x
zz!KJ`7tO&8bnbJqOu3abaF}{{-@HDlylNWtc(w)#_cU1&34Q=7_reNCg=D<YYnJ+o
z>@z%psdGq~(=`o^YzFz>Jc1kuf61G+1P8(SCk=+$57-%wjX?oOEq`+p2JBrHh3lFo
zlX4ac9fRJ%+M})8B;{r$){IFY$;?6EB>$v5LduXXFfnD{<s>;g%!o0dJ={w=emd~=
zD<!ORJTBd?<LAcU21GHTi$B1fo`&3c$nS^ju288xm|H<cfGNV%Fui*Ru+4jhAQl*T
zC|+FPsxpqjK*q<OhIwC7xnTHWFNB~{;df$i?BMBrBVhAu<kh2mCq)HU#yjut(sU+>
z3H_RzdjVx<D)Q!z7d#L1mugtYzF2M3BUN3?N*z@2&e=h;Vs)}?fvJ`);a<qu<ZQ#D
znhvu9@^7iSf7$H*>J9v@5BH}l_peOoUrO|!)~~<4$oess<j=0YmFw}kr{EuDd3Cw>
IGDhD22UZ5$fB*mh
literal 0
HcmV?d00001
diff --git a/QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/sphinx/_static/api_tunnel_raster.png:Zone.Identifier b/QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/sphinx/_static/api_tunnel_raster.png:Zone.Identifier
new file mode 100644
index 0000000..2d45b2b
--- /dev/null
+++ b/QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/sphinx/_static/api_tunnel_raster.png:Zone.Identifier
@@ -0,0 +1,3 @@
+[ZoneTransfer]
+ZoneId=3
+HostUrl=about:internet
diff --git a/QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/sphinx/api.rst b/QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/sphinx/api.rst
new file mode 100644
index 0000000..c6da272
--- /dev/null
+++ b/QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/sphinx/api.rst
@@ -0,0 +1,94 @@
+API
+===
+.. currentmodule:: qdarts
+
+In the following, we will describe the core components of our API
+
+Experiment Class
+----------------
+For a quick start for uing the simulator, there is the Experiment class that is also used
+in the example notebook. We refer to the notebook for a detailled usage example.
+
+.. autosummary::
+ :toctree: interfaces
+ :recursive:
+
+ experiment.Experiment
+
+
+Simulation Components
+---------------------
+The main components to build your own simulations are shown below.
+We first need to create a Capacitance model that generates a
+capacitive energy function :math:`E(v,n)`. With this, we can start
+to generate a purely capacitive simulation.
+
+.. autosummary::
+ :toctree: interfaces
+ :recursive:
+
+ capacitance_model.CapacitanceModel
+ simulator.CapacitiveDeviceSimulator
+
+This simulation is rather basic and can only compute areas of voltages that lead to the same ground
+state, so called coulomb diamonds. This can already be used to generate
+Charge Stability diagrams by computing 2D slices through the set of polytopes,
+but those will not look very realistic, nor will they include tunneling.
+
+To move beyond this simulation, we need to drastically improve the modeling.
+This next step is based on the full tunneling simulator that requires a simulation
+of the sensor dot and a simulation of tunnel barriers - the latter can be simplified by
+just providing a matrix of constant tunnel couplings.
+
+.. autosummary::
+ :toctree: interfaces
+ :recursive:
+
+ tunneling_simulator.ApproximateTunnelingSimulator
+ tunneling_simulator.TunnelBarrierModel
+ tunneling_simulator.NoisySensorDot
+
+
+The simulation of the sensor dot can optionally make use of a noise model in order
+to generate dependent noise. For this, we currently offer the following two classes
+
+.. autosummary::
+ :toctree: interfaces
+ :recursive:
+
+ noise_processes.OU_process
+ noise_processes.Cosine_Mean_Function
+
+
+
+Data Classes
+-------------
+Finally, both levels of simulations have their own data classes. The polytope class is returned by the
+boundaries method by any simulator and the local system is returned by the tunneling simulator. Both describe
+the local state of the simulator in some region.
+
+.. autosummary::
+ :toctree: interfaces
+ :recursive:
+
+ tunneling_simulator.LocalSystem
+ polytope.Polytope
+
+Interfaces
+----------
+QDarts offers a set of interfaces and base classes that can serve as a primer to how to extend the simulator by
+replacing existing components. In most cases, only a few specialized functions need to be implemented as the base
+class implements most of the important logic. Please note that QDarts is under active development, all of these
+interfaces are subject to change.
+
+.. autosummary::
+ :toctree: interfaces
+ :recursive:
+
+ capacitance_model.AbstractCapacitanceModel
+ simulator.AbstractPolytopeSimulator
+ simulator.AbstractCapacitiveDeviceSimulator
+ noise_processes.AbstractNoiseProcess
+ tunneling_simulator.AbstractSensorSim
+
+
diff --git a/QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/sphinx/api_tutorial.rst b/QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/sphinx/api_tutorial.rst
new file mode 100644
index 0000000..dcef4fe
--- /dev/null
+++ b/QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/sphinx/api_tutorial.rst
@@ -0,0 +1,202 @@
+API Usage Tutorial
+==================
+
+QDarts comes with two API-levels, the ``Experiment`` class that simplifies many of the most common applications at the cost
+of flexibility. It is build on top of the low-level API, that gives access to the full power of QDarts. It is possile to mix both
+APIs, for example, it is possible to construct a simulator using the ``Experiment`` class and then modify it using the low-level API.
+In the following, we will explain the low-level API (The usage of the high-level api is described in the ipython notebook located in ``examples/figures_scipost.ipynb``
+that also reproduces all figures of our publication).
+
+The code for this tutorial is provided in the ipython notebook ``examples/api_tutorial.ipynb``. To keep the tutorial concise,
+we only include the most important lines here that are needed to create the simulator,
+but we skip definition of capacitance parameters etc. For this, directly reading the code is best.
+
+The simulated device is a dcevice with 6 dots, of which three are sensor dots. It is controlled by 9 plunger gates, 1 for each dot and
+three that govern barrier gates between the three dots that are not sensor dots. The device is defined using a set of parameter matrices
+that govern the capacitances between the 9 gates and 6 dots, as well as the effect the 9 gates have on the barrier potential and therefore the tunnel coupling.
+
+
+Construction of the capacitive simulation
+-----------------------------------------
+
+As first step, we need to initialize the capacitive simulation.
+It depends on a capacitive model, which creates the capacitive energy function and which depends on a number of
+parameters, the capacitanc matrices between plunger gates and dots, ``C_DG``, the interdot capacitances ``C_DD``,
+a lower bound on the gate voltages ``bounds_limits`` and optionaly a parameter ``ks`` that governs the deviation from the constant interaction
+model and which can be set to ``None``. With these parameters, creating the capacitive simulation is straight forward::
+
+ from qdarts.capacitance_model import CapacitanceModel
+ from qdarts.simulator import CapacitiveDeviceSimulator
+
+ capacitance_model = CapacitanceModel(C_DG, C_DD, bounds_limits, ks=ks)
+ capacitive_sim = CapacitiveDeviceSimulator(capacitance_model)
+
+The capacitance simulation is purely classical and fits to the simulation of typical GaAs spin-qubit devices.
+It can only be used to query the ground state of the electron configuration given a set of gate voltages,
+as well as for each electron configuration the polytope of gate voltages that lead to the ground state configuration. Both features together are enough
+to plot a charge stability diagram and to exactly compute the boundaries of ground states within the diagram.
+
+
+Plotting the Charge Stability Diagram
+-------------------------------------
+For ploting, we have two helper functions. First, ``get_CSD_states`` computes for a 2D grid of gate voltages the ground state. This is done by computing a standard 2D grid
+that is then transformed into gate-voltage space. This transformation is done via a linear transformation :math:`v=m+P@v'`, where v is the full vector of gate plunger voltages,
+in our case 9 values. The variables :math:`m` and :math:`P` are projection parameters, where :math:`m` is a 9 dimensional vector and :math:`P` a 9x2 matrix.
+This defines a local 2D coordinate system transformation from the 2D grid :math:`v'` to :math:`v`. With this, it is possible to create a plot in any two coordinate axes.
+If we pick the grid of :math:`v'` values as symmetric around 0, then :math:`m` can be interpreted as the midpoint of the scan that we compute next.
+
+the question is, how we can obtain these values. We can use the capacitive simulation to query points of interest. For example, when we are interested in the scan around
+a point on the state where there is a single electron on each inner dot and 5 electrons on each sensor dot, we can query it simply via::
+
+ m = capacitive_sim.boundaries([1,1,1,5,5,5]).point_inside
+
+And if we want to perform a scan over the axes of the first and third plunger gate (which in our simulation are strongest coupled to the first and third inner dot) we can
+set::
+
+ P=np.zeros((N_gates,2))
+ P[0,0]=1
+ P[2,1]=1
+
+
+Now that we have the projection, we can define the minimum and maximum values of :math:`v'` in both directions and choose an image resolution.
+Then, we can use ``get_CSD_data``::
+
+ from qdarts.plotting import get_CSD_data
+
+ minV = [-0.01,-0.01]
+ maxV = [ 0.01, 0.01]
+ resolution = 100
+
+ sliced_csim, CSD_data, states = get_CSD_data(capacitive_sim, P,m, minV, maxV, resolution, target_state)
+
+The last parameter is needed to provide the simulation with an initial guess of which might be the ground state of the bottom left corner of the plot.
+This guess does not need to be exact. This function returns three things: first, a simulation ``sliced_csim`` that is defined on the transformed space :math:`v'` and serves as a cache for
+computed values. We will talk more about these slices later in the tutorial. The second result, ``CSD_data`` is a plottable 2D grid of values in which each ground state configuration is assigned
+a different value. Finally, ``states`` is an array of all ground states for each grid point. We can plot this directly with matplotlib::
+
+ xs = np.linspace(minV[0],maxV[0],resolution)
+ ys = np.linspace(minV[1],maxV[1],resolution)
+ plt.pcolormesh(xs,ys,CSD_data.T)
+
+The resulting grid is a rastered low resolution image.
+
+.. image:: /_static/api_csd_raster.png
+ :scale: 50 %
+ :align: center
+
+We can improve on this by plotting the exact boundaries between the two ground states using ``get_polytopes`` and ``plot_polytopes``::
+
+ polytopes = get_polytopes(states, sliced_csim, minV, maxV)
+ plt.xlim(minV[0],maxV[0])
+ plt.ylim(minV[1],maxV[1])
+ plot_polytopes(plt.gca(),polytopes, skip_dots=[3,4,5], fontsize=16)
+
+Note that this function computes the polytopes based on the low dimensional sliced simulation returned by ``get_CSD_data`` as well as its computed array of states. The function also prints the labels
+of each state, and the option ``skip_dots`` allows to skip the part of the electron configuration we are not interested in. In this case, we skipped the 3 sensor dots.
+Adding the last two plotting commands together, the resulting plot should look like this:
+
+.. image:: /_static/api_csd_grid.png
+ :scale: 50 %
+ :align: center
+
+
+Creation of a tunneling simulation
+----------------------------------
+Now that we are able to generate a CSD, we want to also simulate tunneling and simulate a more realistic sensor signal.
+For this, we need to create a few objects. First, we have to decide on a sensor simulator. The default choice is the ``NoisySensorDot``
+which simulates a sequence of sensor reflectometry peaks on one or more sensor dots::
+
+ sensor_model = NoisySensorDot(sensor_dots) #a model of the sensor dots that just needs which dot has which index
+ sensor_model.config_peak(g_max = 1.0, peak_width_multiplier = 20) #make the sensor peak broader
+
+The constructor takes the indexes of the dots we want to use as sensor dots and each entry in this list will produce one sensor signal, the quantum capacitance measured
+at the sensor dot. In the next line we add configuration options. ``g_max`` is just a scaling factor of the signal, which we leave at 1. The default sensor peak is simulated using only the
+temperature of the dot and does not take broadening due to RF power into account. To compensate for this, we introduce a broadening factor that can make the peak wider. in our experience, values between
+5 and 20 work well. There are more options to add here, for example the noise model of the signal, but for this tutorial, we do not add noise to keep it simple. You can check the documentation
+of ``NoisySensorDot`` for more details on that.
+
+Now, with our configured sensor dot, we create the simulation using tunnel coupling::
+
+ tunneling_sim = ApproximateTunnelingSimulator(capacitive_sim, #the underlying polytope simulation
+ tunnel_couplings, #symmetric tunnel coupling matrix T_ij which stores the tunnel coupling between dots i and j
+ temperature, #electron temperature, should be <=200mK
+ sensor_model) #our sensor model simulation
+
+The tunneling simulation is very expensive, and by default it tries to minimize the number of basis elements for the computed Hamiltonians by excluding states with energies that are large compared to
+a chosen slack. By default the slack is 0, and thus all states that are not direct neighbours of our polytope (i.e., they do not share a facet) will be excluded. By increasing the slack proportional to
+the inverse temperature, we add more states that might still be relevant for tunneling. Further, the sensor dot simulation relies on the existence of states that add or remove an electron from the sensor dot.
+These can easily be excluded from the simulation and therefore we enfore in the simulation that states with additional electrons added/subtracted on the sensor dot are always present.
+
+ capacitive_sim.set_maximum_polytope_slack(5/tunneling_sim.beta) #adding slack to keep more states that are likely to affect the hamiltonian
+ tunneling_sim.num_additional_neighbours[sensor_dots] = 2 #adding additional states for the sensor dots
+
+Finally, we can create a similar plot as before. We use the same values for ´´m´´ and ´´P´´ as for the previous simulation, so that we can compare the two plots.
+Note that since the device has three sensor dots, the output is a 3 dimensional tensor where the last dimension is the number of sensor dots and we plot below only
+the output of the third sensor::
+
+ sensor_values = tunneling_sim.sensor_scan_2D(P, m, minV, maxV, resolution, target_state)
+ plt.pcolormesh(xs,ys,sensor_values[:,:,2].T)
+
+
+This plots results in the sensor signal
+
+.. image:: /_static/api_tunnel_raster.png
+ :scale: 50 %
+ :align: center
+
+which again can be overlayed with our grid as before:
+
+.. image:: /_static/api_tunnel_grid.png
+ :scale: 50 %
+ :align: center
+
+
+Slicing and sensor compensation
+-------------------------------
+
+The last plot shows that most of the sensor signal is very low and there is only a small area with a peak. This is because of the missing sensor compensation: the sensor peak
+is capacitely affected by the plunger gates and thus changing the voltages changes the sensor signal. On the previous plot we already configured a wide width of the peak (``peak_width_multiplier = 20```) to make
+this effect small, but in reality many devices have very narrow and clear peaks.
+What we need is sensor compensation, i.e., a change of coordinate system where the sensor plunger voltage is corrected for the cross-talk from the other gates so that we stay on the sensor peak as well as possible.
+Moreover, the sensor peak is not centered. This is because we used as mid-point a point inside the polytope, but the sensor peaks are only on the boundaries between polytopes with different number of
+electrons on the sensor dots. Thus, we need to change our coordinate system and tune the sensor to a better point.
+
+This change of coordinate system is achieved in the simulator via slicing. In the previous examples, we defined a matrix ``P`` and vector ``m`` to generate the plot. We said that this changed the coordinate
+system via :math:`v=m+Pv'`, where ``v'`` was a 2D case. This operation is called slicing and a simulation can be sliced via::
+
+ sliced_sim = sim.slice(P,m)
+
+This works on all simulator objects and it returns a new simulation with gate voltages ``v'``. This works in any dimensions, not just 2 and it is used in most simulation transformation code.
+QDarts makes use of this in all its transformation code. For example, compensating the sensor dot::
+
+ compensated_tsim, _,m_comp = compensate_simulator_sensors(
+ tunneling_sim, #the simulator object to compensate
+ target_state=[1,1,1,5,5,5], #the electron configuration around which to compensate
+ compensation_gates= [6,7,8], #the ids of the sensor gate plungers.
+ sensor_ids = [3,4,5],#the ids of the sensor dots.
+ sensor_detunings = np.array([-0.0005,-0.0005,-0.0005]) #shift of the sensor dot plungers
+ )
+
+This function returns the sensor compensated simulator object, which has its gates transformed such, that changing the gate voltages of any gate plunger other the sensor dot plungers does not change the
+chemical potential of the sensor dot and thus leaves the sensor signal constant, except when a transition happens. This function relies on the user to supply the ids of the sensor dots and which elements of the voltage
+vector are the sensor plungers (for example, the sensor dot with id 3 has plunger 6 as its plunger gate). Since in our model the capacitance parameters of the model vary with the occupation number, we have to
+indicate the target state. Further, we have to supply a vector of sensor detunings that indicate on which position we are on the snesor detuning axis, i.e., the sensor peak. This value is relative to the peak maximum,
+a value of 0 will return the exact peak max, which is a value that is typically avoided in practice due to the low signal to noise ratio. Additional to the sensor compensation object, the function returns also as third
+return value the exact tuning point, i.e., the voltage vector that identifies the flank point for the given state. We can use this to plot a 2D charge stability diagram with the returned point as its center.
+We also show in the point below how to query the internal modified capacitance simulator using ``compensated_tsim.poly_sim`` in order to compute the state boundaries::
+
+ sensor_values = compensated_tsim.sensor_scan_2D(P, m_comp, minV, maxV, resolution, target_state)
+ sliced_tsim, CSD_data, states = get_CSD_data(compensated_tsim.poly_sim, P,m_comp, minV, maxV, resolution, target_state)
+ polytopes = get_polytopes(states, sliced_tsim, minV, maxV)
+
+
+Plotting the computed ```sensor_values`` and ``polytopes`` as before, leads to
+
+
+.. image:: /_static/api_tunnel_comp.png
+ :scale: 50 %
+ :align: center
+
+As you can see, the sensors are almost perfectly compensated, leading to almost perfectly flat polytopes with no visible shape of a sensor peak. The [1,1,1] state indicates a color in the middle of the peak
+and we can see how single electron transitions change the position on the peak due to the change of color on the polytopes. It is similarly possible to compensate any other gates and thus to compute virtual coordinates,
+for this we refer to the documentation of ``axis_align_transitions``.
\ No newline at end of file
diff --git a/QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/sphinx/conf.py b/QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/sphinx/conf.py
new file mode 100644
index 0000000..c44443f
--- /dev/null
+++ b/QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/sphinx/conf.py
@@ -0,0 +1,44 @@
+# Configuration file for the Sphinx documentation builder.
+#
+# For the full list of built-in configuration values, see the documentation:
+# https://www.sphinx-doc.org/en/master/usage/configuration.html
+
+# -- Project information -----------------------------------------------------
+# https://www.sphinx-doc.org/en/master/usage/configuration.html#project-information
+
+project = 'QDarts'
+copyright = '2024, Oswin Krause, Jan Krzywda, Weikun Liu, Evert van Nieuwenburg'
+author = 'Oswin Krause, Jan Krzywda, Weikun Liu, Evert van Nieuwenburg'
+
+# -- General configuration ---------------------------------------------------
+# https://www.sphinx-doc.org/en/master/usage/configuration.html#general-configuration
+
+extensions = [
+ 'sphinx.ext.autodoc',
+ 'sphinx.ext.autosummary',
+ 'sphinx.ext.napoleon'
+ ]
+
+templates_path = ['_templates']
+exclude_patterns = []
+
+
+# -- Options for HTML output -------------------------------------------------
+# https://www.sphinx-doc.org/en/master/usage/configuration.html#options-for-html-output
+
+html_theme = 'alabaster'
+html_static_path = ['_static']
+
+
+# -- Package options -------
+
+import sys
+import os
+sys.path.insert(0, os.path.abspath('../src'))
+autosummary_generate = True
+autosummary_imported_members = True
+
+autodoc_default_options = {
+ 'members': True,
+ 'undoc-members': True
+}
diff --git a/QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/sphinx/index.rst b/QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/sphinx/index.rst
new file mode 100644
index 0000000..ed00c61
--- /dev/null
+++ b/QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/sphinx/index.rst
@@ -0,0 +1,23 @@
+QDarts
+======
+
+Installation
+------------
+Installation can be done via ``python build``. In the QDarts directory, run::
+
+ make build
+ python3 -m pip install QDarts/dist/QDarts-<Version>-py3-none-any.whl
+
+where ``<Version>`` is the current QDarts version.
+
+
+Documentation
+-------------
+A usage example is provided in the ipython notebook in the ``examples/`` folder.
+Below you find the `detailed documentation of ``QDarts``
+
+.. toctree::
+ :maxdepth: 1
+
+ api_tutorial
+ api
\ No newline at end of file
diff --git a/QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/src/qdarts/__init__.py b/QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/src/qdarts/__init__.py
new file mode 100644
index 0000000..e69de29
diff --git a/QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/src/qdarts/capacitance_model.py b/QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/src/qdarts/capacitance_model.py
new file mode 100644
index 0000000..c86376b
--- /dev/null
+++ b/QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/src/qdarts/capacitance_model.py
@@ -0,0 +1,435 @@
+import numpy as np
+from qdarts.util_functions import compute_maximum_inscribed_circle, compute_polytope_slacks
+from qdarts.polytope import Polytope
+from abc import ABCMeta, abstractmethod
+
+def is_sequence(seq):
+ if isinstance(seq, str):
+ return False
+ try:
+ len(seq)
+ except Exception:
+ return False
+ return True
+
+
+#internal unit conversion of capacitances from attoFarrad to Farrad/eV
+eV = 1.602e-19
+to_Farrad_per_eV = 1e-18/eV
+
+class AbstractCapacitanceModel(metaclass=ABCMeta):
+ """Base Class for all capacitance models.
+
+ This class provides all required meta information to compute capacitive energies of a system with electron configuration
+ n and gate voltages v, E(v,n). The only required to this model is that E(v,n)-E(v,n') is a linear function in v and that energies
+ are measured in eV.
+ The class provides basic abilities: enumeration of possible transition states from a given state and computation/verification of a polytope P(n) for a state.
+ For this, the user only needs to provide functions to generate transition equations and a function that allows to slice the voltage space.
+
+ As a base class it only needs to know the number of gates/inputs and the number of dots of the array. Additionally
+ the user must supply voltage bounds that ensure that all computed polytopes are bounded. In practical devices these would be voltage limits
+ e.g., for device protection.
+
+ Attributes
+ ----------
+ num_dots: int
+ the number of discrete dot locations on the device. This is the number of elements in the electron state n.
+ num_inputs: int
+ The number of gate voltages of the device.
+ bounds_limits: N np.array of float
+ right hand side of the bound inequalities.
+ set of linear inequalities A that provide bounds for the voltage space.
+ """
+ def __init__(self, num_dots, num_inputs, bounds_limits, bounds_normals):
+ """ Initializes the model.
+
+ Parameters
+ ----------
+ num_dots: int
+ the number of discrete dot locations on the device. This is the number of elements in the electron state n.
+ num_inputs: int
+ The number of gate voltages of the device.
+ bounds_limits: N np.array of float
+ right hand side of the bound inequalities. If bounds_normals is none, this is interpreted as lower bounds and thus N=num_inputs
+ bounds_normals: N x num_inputs np.array of float
+ set of linear inequalities A that provide bounds for the voltage space. A valid voltage v fulfils Av+b<0, where b is
+ bounds_limits. Can be none, in which case A=-Id.
+ """
+ self.num_dots = num_dots
+ self.num_inputs = num_inputs
+
+ if not is_sequence(bounds_limits):
+ bounds_limits = bounds_limits * np.ones(num_inputs)
+
+ if bounds_normals is None:
+ if num_inputs != len(bounds_limits):
+ raise ValueError("if bounds_normals is not given, bounds_limits must be either a scalar or a sequence of length same as number of gates")
+ bounds_normals = -np.eye(self.num_inputs)
+
+
+ self.bounds_normals = np.asarray(bounds_normals)
+ self.bounds_limits = np.asarray(bounds_limits)
+
+ @abstractmethod
+ def compute_transition_equations(self, state_list, state):
+ """
+ For a given state n and a list of other states (n_1,...n_N), computes the set of
+ linear equations E(v,n)-E(v,n_i). Must be implemented by derived classes.
+
+ Parameters
+ ----------
+ state: K np.array of int
+ State n
+ state_list: NxK np.array of int
+ list of other states (n_1,...n_N)
+
+ Returns
+ -------
+ (A,b) set of linear equations represented by matrix A and offset b. The ith element computes
+ E(v,n)-E(v,n_i) as a function of v.
+ """
+ pass
+
+ @abstractmethod
+ def slice(self, P, m):
+ """ Restricts the model to the affine subspace v=m+Pv'
+
+ Computes the slice through the device by setting v=m+Pv', where v is the plunger gate voltages of the
+ original device and v' is the new coordinate system. Must be implemented by derived classes. Note
+ that derived classes also need to apply the affine transformation to the bounds variables
+
+ Parameters
+ ----------
+ P: MxK np.array of floats
+ The linear coefficient matrix. Here M is the number of voltage elements in v in the full simulation
+ and K the dimensionality of the subspace.
+ m: M np.array of floats
+ offset of the affine trnsformation.
+
+ Returns
+ -------
+ A model object describing the simulation on the affine subspace.
+ """
+ pass
+
+ def enumerate_neighbours(self, state):
+ """ Generates a state_list object for compute_transition_equations,
+
+ Enumerates the set of neighbours of a transition to return all possible
+ state transitions. In this class it is implemented by returning all possible
+ states that can be reached by any combintion of adding or removing an electron on any dot.
+ As a result, this list has 3^D-1 elements, where D is the number of dots.
+
+ Derived classes may overwrite this if they want to consider a more restricted set of transitions.
+
+ Parameters
+ ----------
+ state: D np.array of int
+ The state for which to enumerate all neighbours
+
+ Returns
+ -------
+ List of lists of neighbours. By default only a list including a list of all neighbours is returned.
+ Derived classes may decide to instead return several lists each representing a batch of transitions.
+ Aong those lists, states do not need to be unique but instead represent groups of elements that can
+ filtered efficiently by the solver, e.g., by adding all states that can be used to filter a lot of other
+ states in the list quickly. This is only ever relevant when larger arrays need to be computed.
+ """
+ d = state.shape[0]
+ # Compute list of possible state transitions for the provided state
+ # For simplicity, we restrict to only single electron additions/subtractions per dot
+ # This leaves 3^d-1 states
+ state_list=np.zeros((1,d),dtype=int)
+ for i in range(d):
+ state_list1 = state_list.copy()
+ state_listm1 = state_list.copy()
+ state_listm1[:,i] = -1
+ state_list1[:,i] = 1
+ state_list = np.vstack([state_list,state_list1])
+ if state[i] >= 1:
+ state_list = np.vstack([state_list,state_listm1])
+
+ # First element is all-zeros, we don't want it
+ state_list=state_list[1:]
+
+ return [state_list+state]
+
+ def compute_polytope_for_state(self, state, maximum_slack):
+ """For a given state, computes P(N)
+
+ Calls enumerate_neighbours and compute_transition_equations to obtain a list of
+ possible transitions and then removes from this list iteratively
+ all transitions that are not sufficiently close to the polytope.
+
+ This is computed by computing the slack. The slack is 0 if the ith transition is a facet of
+ the polytope, otherwise it is a positive number computed as
+
+ :math:`s_i = min_v A_i^Tv +b_i, v \in P(n)`
+
+ This function retains all facets that have slack smaller than maximum_slack.
+ Since enregy differences are measure din eV, the slack represents the minimum
+ energy difference between the ground state and the state represented by the transition
+ for any point inside the polytope.
+
+ Parameters
+ ----------
+ state: D np.array of int
+ The electron configuration n for which to compute P(n)
+ maximum_slack: float
+ The maximum distance in eV after which the transition is discarded
+
+ Returns
+ -------
+ A Polytope object representing P(n). See documentation of Polytope.
+ """
+ #get the potentially bacthed list of states
+ state_lists = self.enumerate_neighbours(state)
+ As = []
+ bs = []
+ transition_slacks = []
+ states = []
+ # Now for each of those, get the list of transitions...
+ for idx,state_list in enumerate(state_lists):
+ A,b = self.compute_transition_equations(state_list, state)
+
+ #check, whether there are superfluous transitions
+ #TODO: Oswin: i don't remember what the significance of this was.
+ zero_const = np.all(np.abs(A)<1.e-8,axis=1)
+ if np.any(zero_const):
+ A = A[~zero_const]
+ b = b[~zero_const]
+ state_list = state_list[~zero_const]
+ # ... and check for this batch whether we can filter out non-touching ones
+ slacks = compute_polytope_slacks(A,b, self.bounds_normals, self.bounds_limits, maximum_slack)
+ keep = slacks <= maximum_slack+1.e-8
+
+ #if we have kept nothing, this means there is a set of equations that is not fullfillable
+ #this happens often when slicing, e.g, a polytope is not within the sliced subspace.
+ if not np.any(keep):
+ return Polytope(state)
+
+ As.append(A[keep])
+ bs.append(b[keep])
+ transition_slacks.append(slacks[keep])
+ states.append(state_list[keep])
+
+
+ #TODO: this code is currently untested and might break.
+ # Keep iterating over the list, merging facets, until they are all merged
+ while len(As)>1:
+ # Take the next set of As, bs and states, and merge them into a new set
+ A = np.vstack(As[:2])
+ b = np.concatenate(bs[:2])
+ max_slack = np.concatenate(max_slacks[:2])
+ state = np.vstack(states[:2])
+ # Update the lists; we've now taken care of another set of two
+ As=As[2:]
+ bs=bs[2:]
+ states = states[2:]
+ max_slacks = max_slacks[2:]
+ transition_slacks = transition_slacks[2:]
+
+ # Handle possible duplicate transitions
+ state, indxs = np.unique(state, axis=0, return_index = True)
+ A = A[indxs]
+ b = b[indxs]
+
+ # Find transitions in the merged sets
+ slacks= self._check_transition_existence(A,b, max_slack)
+ keep = slacks <= maximum_slack+1.e-8
+
+ #if we have kept nothing, this means there is a set of equations that is not fullfillable
+ #this happens often when slicing, e.g, a polytope is not within the sliced subspace.
+ if not np.any(keep):
+ return Polytope(state)
+
+ # Add the merged ones back to the list
+ As.append(A[keep])
+ bs.append(b[keep])
+ max_slacks.append(max_slack[keep])
+ transition_slacks.append(slacks[keep])
+ states.append(state[keep])
+
+ #create final polytope
+ poly = Polytope(state)
+ touching = transition_slacks[0]<1.e-8
+ point_inside, _ = compute_maximum_inscribed_circle(As[0][touching], bs[0][touching], self.bounds_normals, self.bounds_limits)
+ poly.set_polytope(states[0] - state, As[0], bs[0], transition_slacks[0], point_inside)
+ return poly
+
+ def verify_polytope(self, polytope, maximum_slack):
+ """Verifies a polytope.
+
+ After slicing, polytopes that have been computed earlier also need to be sliced. It is inefficient to recompute
+ the polytopes from scratch, as slicing can only remove, but never add transitions. verify_polytope allows to take
+ a polytope that has been modified via polytope.layz_slice and verify/filter all transitions. This recomputes
+ all slack variables and removes all transitions that have slack larger than maximum slack
+
+ Note that this does not touch any other internal information stored in the polytope.
+ This function doe snothing if polytope.must_verify=False
+
+ TOOD: this should be moved somewhere else.
+
+ Parameters
+ ----------
+ polytope: Polytope
+ The polytope P(n) to be verified
+ maximum_slack: float
+ The maximum distance in eV after which a transition of the polytope is discarded
+
+ Returns
+ -------
+ The updated polytope after filtering out transitions.
+ """
+ if not polytope.must_verify:
+ return polytope
+ slacks = compute_polytope_slacks(polytope.A, polytope.b, self.bounds_normals, self.bounds_limits, maximum_slack)
+ keep = slacks <= maximum_slack + 1.e-8
+ touching = slacks <= 1.e-6
+ point_inside, _ = compute_maximum_inscribed_circle(polytope.A[touching], polytope.b[touching], self.bounds_normals, self.bounds_limits)
+
+ verified_polytope = Polytope(polytope.state)
+ verified_polytope.set_polytope(
+ polytope.labels[keep],
+ polytope.A[keep], polytope.b[keep],
+ slacks[keep],
+ point_inside
+ )
+ return verified_polytope
+
+class CapacitanceModel(AbstractCapacitanceModel):
+ """Implementation of a slight generalization of the constant interaction model.
+
+ The constant interaction model defines
+ :math:`E(v,n)=1/2 n^T C_{DD}^{-1}n - n^T C_{DD}^{-1}C_{DG}v`
+
+ where :math:`C_{DD}` and :math:`C_{DG}` are part of the maxwell capacitance matrix created by the system
+ of plunger gates G and quantum dots D. Thus, :math:`C_{DD}` are the interdot capacitances (mawell) and
+ :math:`C_{DG}` the dot to gate capacitances.
+
+ This model is a generalization of the constant interaction model as it makes :math:`C_{DD}` and :math:`C_{DG}` a function
+ of electron state n. The speed of this change from the constant interaction is governed by a parameter k for each dot. The larger
+ k is, the smaller the deviation. if k=None, this is exactly the constant interaction model.
+ """
+ def __init__(self, C_g, C_D, bounds_limits, bounds_normals=None, ks = None, transform_C_g = None, offset = None):
+ """ Initializes the model
+
+ The parameters here are normal capacitances and not maxwell capacitances given in atto Farrad.
+
+ Parameters
+ ----------
+ C_g: DxK np.array of float
+ Capacitances in atto Farrad between the K gates and D dots.
+ C_D: DxD np.array of float
+ Capacitances in atto Farrad between the D dots. Self capacitances are possible via the diagonal matrix elements.
+ bounds_limits: N np.array of float
+ right hand side of the bound inequalities. If bounds_normals is none, this is interpreted as lower bounds and thus N=num_inputs
+ bounds_normals: N x num_inputs np.array of float
+ set of linear inequalities A that provide bounds for the voltage space. A valid voltage v fulfils Av+b<0, where b is
+ bounds_limits. Can be none, in which case A=-Id.'
+ ks: D np.array of float or None.
+ How quickly the capacitances change as deviation from the constant interaction model for each dot. Can be None in which this is just the constant interaction model.
+ Larger integers give smaller changes. Realistic values are 3-5.
+ transform_C_g:
+ Internal. Used to implement slicing. Should be None.
+ offset:
+ Internal. Used to implement slicing. Should be None.
+ """
+ # Set the transformation matrix to the identity if not provided
+ if transform_C_g is None:
+ transform_C_g = np.eye(C_g.shape[1])
+
+ super().__init__(C_D.shape[0], transform_C_g.shape[1], bounds_limits, bounds_normals)
+
+ # Set instance properties
+ self.C_g_atto = np.asarray(C_g)
+ self.C_D_atto = np.asarray(C_D)
+ self.transform_C_g = np.array(transform_C_g)
+
+ # Check that an offset is provided for every gate
+ self.offset = np.zeros(self.transform_C_g.shape[0])
+ if offset is not None:
+ if len(offset) != self.transform_C_g.shape[0]:
+ raise ValueError("The offset you provided does not have an offset for every gate of the device (prior to slicing).")
+ self.offset = np.array(offset)
+
+ # Convert units from attoFarrad to Farrad per eV
+ self.C_g = self.C_g_atto * to_Farrad_per_eV
+ self.C_D = self.C_D_atto * to_Farrad_per_eV
+
+ # Check if value for non-constant capacitance is provided
+ self.ks = ks
+ if ks is not None:
+ self.ks = np.array(ks)
+ #if np.any(ks<1):
+ # raise ValueError("The ks values must be larger than 1")
+
+ # TODO: What are S values?
+ # Cache S values for up to 1000 total dots
+ self.S_cache=np.zeros((1000,self.num_dots))
+ self.S_cache[0,:] = 1
+ self.S_cache[1,:] = 1
+
+ r = 2.6
+ alphas = 1-0.137*(1+r)/(ks+r)
+ for n in range(2,self.S_cache.shape[0]):
+ Sprev = self.S_cache[n-2]
+ self.S_cache[n] = n/(2*alphas*(ks+2)/(n+ks)+(n-2)/Sprev)
+
+ def _compute_capacitances(self, state):
+ N = len(state)
+
+ S = np.eye(N)
+ if self.ks is not None:
+ S_values = self.S_cache[state,range(N)]
+ S = np.diag(S_values)
+
+ sum_C_g = np.sum(self.C_g,axis=1)
+
+ # General transform by changing dot capacitances
+ Cn_g = S @ self.C_g
+ Cn_D = S @ self.C_D @ S
+ Csum = S @ S @ sum_C_g + np.sum(Cn_D,axis=1)+np.diag(Cn_D)
+
+ Cn_inv = np.linalg.inv(np.diag(Csum) - Cn_D)
+ return Cn_inv, Cn_g
+
+ def compute_transition_equations(self, state_list, state_from):
+ # Get number of targets
+ N = state_list.shape[0]
+
+ # Compute normal and offset for the from_state
+ C0_inv, C0_g = self._compute_capacitances(state_from)
+ q0 = state_from @ C0_inv
+ A0 = q0 @ C0_g
+ b0 = q0 @ state_from -2*q0 @ C0_g @ self.offset
+
+ # Now compute the normals and offsets for the target states
+ A = np.zeros((N, self.num_inputs))
+ b = np.zeros(N)
+ for i,n in enumerate(state_list):
+ # Compute the capacitances for the target state
+ Cn_inv, Cn_g = self._compute_capacitances(n)
+ qn = n @ Cn_inv
+ An = qn @ Cn_g
+
+ # Compute the normal
+ A[i] = (An - A0)@self.transform_C_g
+ # Compute the offset
+ b[i] = (b0 - qn @ n)/2 + qn @ Cn_g @ self.offset
+
+ return A,b
+
+ def slice(self, P, m):
+ new_offset = self.offset+self.transform_C_g@m
+ new_transform = self.transform_C_g@P
+
+ new_boundsA = self.bounds_normals@P
+ new_boundsb = self.bounds_limits + self.bounds_normals@m
+
+ #throw out almost orthogonal bounds
+ sel = np.linalg.norm(new_boundsA,axis=1)>1.e-7*np.linalg.norm(self.bounds_normals,axis=1)
+ new_boundsA = new_boundsA[sel]
+ new_boundsb = new_boundsb[sel]
+
+ return CapacitanceModel(self.C_g_atto, self.C_D_atto, new_boundsb, new_boundsA, self.ks, new_transform, new_offset)
diff --git a/QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/src/qdarts/experiment.py b/QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/src/qdarts/experiment.py
new file mode 100644
index 0000000..d21549a
--- /dev/null
+++ b/QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/src/qdarts/experiment.py
@@ -0,0 +1,437 @@
+from qdarts.simulator import *
+from qdarts.tunneling_simulator import *
+from qdarts.noise_processes import OU_process,Cosine_Mean_Function
+
+#for the algorithm
+import numpy as np
+
+#for plotting
+from matplotlib import pyplot as plt
+from qdarts.plotting import get_CSD_data, get_polytopes
+
+#for measuring runtime
+import time
+plt.rcParams.update({'font.size': 18})
+
+# SIMULATION CONSTANTS
+SLOW_NOISE = {"tc": 50}
+
+
+
+class Experiment(): #TODO: change name to the simulator name
+ """Experiment class that helps setup the different parts of the simulator into an easy to ue interface.
+ The usage of this class is best described by the tutorials in the example folder.
+ """
+ def __init__(self, capacitance_config, tunneling_config = None, sensor_config = None, print_logs = True):
+ '''
+ capacitance_config: dictionary containing the capacitance model parameters
+ tunneling_config: dictionary containing the tunneling model parameters
+ sensor_config: dictionary containing the sensor model parameters
+ print_logs: bool, whether to print logs
+ '''
+ # Store configurations
+ self.capacitance_config = capacitance_config
+ self.tunneling_config = tunneling_config
+ self.sensor_config = sensor_config
+ self.print_logs = print_logs
+
+ print("EXPERIMENT INITIALIZED")
+ print("-----------------------")
+
+ # Deploy simulators
+ self.capacitance_sim = self.deploy_capacitance_sim(capacitance_config)
+ self.has_sensors = False
+
+ # Check requirements for sensor and tunneling configurations
+ if tunneling_config != None and sensor_config == None:
+ raise ValueError("Specifying a tunneling configuration also requires a sensor configuration.")
+ if (tunneling_config == None and sensor_config != None):
+ raise ValueError("Specifying a sensor configuration also requires a tunneling configuration.")
+ if tunneling_config != None:
+ self.sensor_model = self.deploy_sensor_model(sensor_config)
+ self.tunneling_sim = self.deploy_tunneling_sim(self.capacitance_sim, tunneling_config)
+ self.has_sensors = True
+
+
+
+# DEPLOYMENT FUNCTIONS
+#--------------------------
+ def deploy_capacitance_sim(self,config):
+ '''
+ Function that deploys a capacitance simulator.
+
+ Arguments
+ ---------
+ config: dictionary containing the capacitance model parameters
+
+ Returns
+ -------
+ sim: CapacitiveDeviceSimulator object
+ '''
+ capacitance_model = CapacitanceModel(config["C_Dg"], config["C_DD"], -1, ks= config["ks"])
+ sim = CapacitiveDeviceSimulator(capacitance_model)
+
+ #Save the parameters
+ self.N = len(config["C_Dg"]) #number of dots
+ self.inner_dots = list(np.arange(self.N)) #indces of the dots. NOTE: no sensor at this point
+
+ if self.print_logs:
+ if not config["ks"] is None:
+ # Print log of capacitance parameters
+ log = """
+ Capacitance model deployed with the following parameters:
+ Dot-dot capacitances:
+ {}
+ Dot-gate capacitances:
+ {}
+ Size of Coulomb peaks V[n] scale as {}/(n + {})
+ """.format(config["C_DD"], config["C_Dg"], np.round((1-0.137*3.6/(config["ks"]+2.6)*config["ks"]),3), 2+config["ks"])
+ print(log)
+ else:
+ # Print log of capacitance parameters
+ log = """
+ Capacitance model deployed with the following parameters:
+ Dot-dot capacitances:
+ {}
+ Dot-gate capacitances:
+ {}
+ Size of Coulomb peaks V[n] is constant
+ """.format(config["C_DD"], config["C_Dg"])
+ print(log)
+
+
+ return sim
+
+
+ def deploy_tunneling_sim(self, capacitance_sim, tunneling_config):
+ '''
+ Function that deploys a tunneling simulator.
+
+ Arguments
+ ---------
+ capacitance_sim: CapacitiveDeviceSimulator object
+ tunneling_config: dictionary containing the tunneling model parameters
+
+ Returns
+ -------
+ tunneling_sim: ApproximateTunnelingSimulator object
+ '''
+ tunneling_matrix = tunneling_config["tunnel_couplings"]
+ tunnel_barrier_offsets = np.log(tunneling_matrix + 1e-20)
+ barrier_levers = tunneling_config["barrier_levers"] if "barrier_levers" in tunneling_config.keys() else None
+ barrier_sim = TunnelBarrierModel(tunnel_barrier_offsets, barrier_levers)
+ tunneling_sim = ApproximateTunnelingSimulator(capacitance_sim,
+ barrier_sim,
+ tunneling_config["temperature"],
+ self.sensor_model)
+
+ # explore the neighboring polytopes
+ slack = tunneling_config["energy_range_factor"]*np.maximum(1.0/tunneling_sim.beta,np.max( tunneling_matrix))
+ tunneling_sim.poly_sim.set_maximum_polytope_slack(slack)
+ tunneling_sim.num_additional_neighbours[self.sensor_model.sensor_dot_ids] = 2
+
+
+ if self.print_logs:
+ # Print log of tunneling parameters
+ log = """
+ Tunneling model deployed with the following parameters:
+ Tunneling matrix:
+ {}
+ Temperature: {} K
+ Energy range factor: {}
+ """.format(tunneling_matrix, tunneling_config["temperature"], tunneling_config["energy_range_factor"])
+ print(log)
+
+
+ return tunneling_sim
+
+
+ def deploy_sensor_model(self, sensor_config):
+ '''
+ Function that deploys a sensor model.
+
+ Arguments
+ ---------
+ config: dictionary containing the sensor model parameters
+
+ Returns
+ -------
+ sensor_sim: NoisySensorDot object
+ '''
+ if not "noise_amplitude" in sensor_config.keys():
+ sensor_config["noise_amplitude"]={}
+ if not "fast_noise" in sensor_config["noise_amplitude"]:
+ sensor_config["noise_amplitude"]["fast_noise"]=0.0
+ if not "slow_noise" in sensor_config["noise_amplitude"]:
+ sensor_config["noise_amplitude"]["slow_noise"]=0.0
+ if not "signal_noise" in sensor_config["noise_amplitude"]:
+ sensor_config["noise_amplitude"]["signal_noise"]=0.0
+ # Separate between inner and sensor dots
+ self.inner_dots = list(set(self.inner_dots) - set(sensor_config["sensor_dot_indices"]))
+
+ # Define slow-noise generator
+ slow_noise_gen = OU_process( #TODO: LATER: implement 1/f noise
+ sigma = sensor_config["noise_amplitude"]["slow_noise"],
+ tc = SLOW_NOISE["tc"],
+ dt = 1, # the unit of time is the single measurment
+ num_elements = len(sensor_config["sensor_dot_indices"])
+ )
+
+ if "mean_field" in sensor_config.keys():
+ mean_field_config = sensor_config["mean_field"]
+ if mean_field_config["type"] == "Cosine_Mean_Function":
+ b = mean_field_config["b"] if "b" in mean_field_config.keys() else None
+ slow_noise_gen = Cosine_Mean_Function(slow_noise_gen, mean_field_config["a"], mean_field_config["W"], b)
+
+ # Deploy sensor model
+ sensor_sim = NoisySensorDot(sensor_config["sensor_dot_indices"])
+
+ # Configure sensor model
+ sensor_sim.config_noise(
+ sigma = sensor_config["noise_amplitude"]["fast_noise"],
+ signal_noise_scale = sensor_config["noise_amplitude"]["signal_noise"],
+ slow_noise_gen = slow_noise_gen
+ )
+ sensor_sim.config_peak(
+ g_max = 1.0,
+ peak_width_multiplier = sensor_config["peak_width_multiplier"]
+ )
+
+
+ # Pring log of sensor parameters
+ if self.print_logs:
+ log = """
+ Sensor model deployed with the following parameters:
+ Sensor dot indices: {}
+ Sensor detunings: {} meV
+ Coulomb peak width: {} meV
+ Slow noise amplitude: {} ueV
+ Fast noise amplitude: {} ueV
+ Signal noise scale: {}
+ """.format(sensor_config["sensor_dot_indices"], np.array(sensor_config["sensor_detunings"])*1e3,
+ np.round(2*sensor_config["peak_width_multiplier"]*self.tunneling_config["temperature"]*86*1e-3/0.631,2),
+ np.round(sensor_config["noise_amplitude"]["slow_noise"]*1e6,4),np.round(sensor_config["noise_amplitude"]["fast_noise"]*1e6,4)
+ ,np.round(sensor_config["noise_amplitude"]["signal_noise"],5))
+ print(log)
+ return sensor_sim
+
+
+ def center_transition(self, simulator, target_state, target_transition, plane_axes, use_virtual_gates = False, compensate_sensors = False):
+ '''
+ Function that center the CSD at a given facet (transition) of the polytope (occupation state).
+
+ Arguments
+ ---------
+ simulator: any simulator object
+ target_state: int, the state at which the transition happens, e.g. [2,2]
+ target_transition: list of integers, the transition point e.g. [1,-1] would be the transition from [2,2] to [1,1]
+ plane_axes: 2xN array, the axes of the transition which span the plane
+ use_virtual_gates: bool, whether to use virtual gates
+ compensate_sensors: bool, whether to compensate the sensors
+
+ Returns
+ -------
+ plane_axes: 2xN array, the axes spanning the cut through volage plane
+ transition_sim: CapacitanceSimulator object, the transition simulator
+ '''
+
+ if compensate_sensors:
+ # fix the sensor gate if we compensate
+ simulator = fix_gates(simulator,self.sensor_config["sensor_dot_indices"], np.zeros(len(self.sensor_config["sensor_dot_indices"])))
+ # reduce dimension of the voltag space
+ complement_gates = [i for i in range(plane_axes.shape[1]) if i not in self.sensor_config["sensor_dot_indices"]]
+ plane_axes = plane_axes[:,complement_gates]
+ #find boundaries of the selected polytope
+ poly = simulator.boundaries(target_state)
+ #get_labels of the transitions
+ inner_labels = poly.labels[:,self.inner_dots]
+
+ #Find the index of the transition point
+ transition = np.array(target_transition)[self.inner_dots].T
+ try:
+ idx_multidot_transition = [find_label(inner_labels, transition)[0]]
+ except ValueError:
+ raise "The transition point is not in the polytope. Please choose a different transition"
+
+ #Find the offset of V
+ v_transition = find_point_on_transitions(poly,idx_multidot_transition)
+ print("v_offset found:",v_transition)
+
+
+ if use_virtual_gates:
+ # Compute the normals
+ pair_transitions=np.array(
+ [np.array(transition).T for transition in plane_axes],dtype=int)
+
+ idxs = [find_label(inner_labels,t[self.inner_dots])[0] for t in pair_transitions]
+ normals = -poly.A[idxs]
+ normals /= np.linalg.norm(normals,axis=1)[:,None]
+ P_transition = normals.T
+ transition_sim = axis_align_transitions(
+ simulator.slice(P_transition, v_transition),
+ target_state,poly.labels[idxs],[0,1])
+ else:
+ transition_sim = simulator.slice(plane_axes.T, v_transition)
+
+
+ return np.eye(2), transition_sim
+
+# GETTERS
+#--------------------------
+
+ def get_virtualised_sim(self, simulator, target_state):
+ '''
+ Function that takes a simulator and virtualises the gates specified by inner_dots.
+
+ Arguments
+ ---------
+ simulator: AbstractPolytopeSimulator object
+ target_state: int, the initial corner state guess
+
+ Returns
+ -------
+ simulator: AbstractPolytopeSimulator object, the virtualised simulator
+ '''
+ gate_transitions = np.eye(self.N,dtype=int)[self.inner_dots]
+ #TODO: Default target state is lower left corner state (initial guess). In future user could specify!
+ self.target_state = target_state
+ simulator = axis_align_transitions(simulator, self.target_state, gate_transitions, self.inner_dots)
+ return simulator
+
+ def get_compensated_sim(self,simulator, target_state):
+ '''
+ Function that takes a capacitance simulator and compensates the sensors.
+
+ Arguments
+ ---------
+ simulator: AbstractPolytopeSimulator object
+ target_stater: int, the state at which sensor compensation happens
+
+ Returns
+ -------
+ simulator: AbstractPolytopeSimulator object, the compensated simulator
+ '''
+ if not self.has_sensors:
+ raise ValueError("Compensating sensors requires a sensor model.")
+
+ return compensate_simulator_sensors(simulator,
+ target_state=target_state,
+ compensation_gates=self.sensor_config["sensor_dot_indices"],
+ sensor_ids = self.sensor_config["sensor_dot_indices"],
+ sensor_detunings = self.sensor_config["sensor_detunings"])[0]
+
+ def get_plot_args(self, x_voltages, y_voltages, plane_axes, v_offset = None):
+ '''
+ Function that returns the arguments for plotting the CSD.
+
+ Arguments
+ ---------
+ x_voltages: list of floats, the x-axis voltages
+ y_voltages: list of floats, the y-axis voltages
+ plane_axes: 2xN array, the axes of the plane in which the CSD is to be rendered
+ v_offset: Nx1 array, the offset voltage of all of the gates, which defines the origin of the plot
+
+ Returns
+ -------
+ v_offset: Nx1 array, the offset voltage of all of the gates
+ minV: 2x1 array, the minimum voltage of selected axes
+ maxV: 2x1 array, the maximum voltage of selected axes
+ resolution: list of integers, the resolution of the plot
+ '''
+
+ if v_offset is None:
+ v_offset = np.zeros(plane_axes.shape[1], dtype=float)
+ else:
+ v_offset = np.array(v_offset,dtype=float)
+
+ xout = x_voltages + np.dot(v_offset,plane_axes[0])
+ yout = y_voltages + np.dot(v_offset,plane_axes[1])
+
+
+ minV = np.array([x_voltages[0], y_voltages[0]])
+ maxV = np.array([x_voltages[-1], y_voltages[-1]])
+
+ resolution = [len(x_voltages), len(y_voltages)]
+
+ return v_offset, minV, maxV, resolution, xout, yout
+
+
+# RENDER FUNCTIONS
+#--------------------------
+
+ def generate_CSD(self, x_voltages, y_voltages, plane_axes, target_state = None,
+ target_transition = None, use_virtual_gates = False,
+ compensate_sensors = False, compute_polytopes = False,
+ use_sensor_signal = False, v_offset = None, insitu_axis = None):
+ '''
+ Function that renders the capacitance CSD for a given set of voltages and axes.
+
+ Arguments
+ ---------
+ x_voltages: list of floats, the x-axis voltages
+ y_voltages: list of floats, the y-axis voltages
+ plane_axes: 2xN array, the axes of the plane in which the CSD is to be rendered
+ target_state: int, the guess state or the state at which the transition happens
+ target_transition: list of integers, the transition point e.g. [1,-1] would be the transition from [2,2] to [1,1]
+ use_virtual_gates: bool, whether to use virtual gates
+ compensate_sensors: bool, whether to compensate the sensors
+ compute_polytopes: bool, whether to compute the polytopes
+ use_sensor_signal: bool, whether to use the sensor signal
+ v_offset: Nx1 array, the offset voltage of all of the gates, which defines the origin of the plot
+
+ Returns
+ -------
+ xout, yout: list of floats, the x and y voltages
+ CSD_data: 2D array, the CSD data
+ polytopes: dictionary, the polytopes of the CSD. None if compute_polytopes is False
+ sensor_values: 3D array, the sensor signal [size(xout),size(yout),num_sensors]. None if use_sensor_signal is False
+ v_offset: Nx1 array, the offset voltage of all of the gates
+ '''
+ # check required parameters
+ if target_state is None:
+ #if not target state use [0,0,0,0,0,0]
+ target_state = [0]*self.N
+
+ plane_axes = np.array(plane_axes)
+ # prepare plot
+ v_offset, minV, maxV, resolution, xout, yout = self.get_plot_args(x_voltages, y_voltages, plane_axes, v_offset)
+
+ # pick the simulator
+ if use_sensor_signal:
+ simulator = self.tunneling_sim
+ else:
+ simulator = self.capacitance_sim
+ if compensate_sensors:
+ simulator = self.get_compensated_sim(simulator,target_state= target_state)
+ if target_transition is not None:
+ plane_axes, simulator = self.center_transition(simulator, target_state, target_transition,
+ plane_axes, use_virtual_gates, compensate_sensors)
+ v_offset = np.zeros(2) #TODO: how to do it nicer?
+
+
+ elif use_virtual_gates:
+ simulator = self.get_virtualised_sim(simulator, target_state)
+
+ if use_sensor_signal:
+ csimulator = simulator.poly_sim
+ else:
+ csimulator = simulator
+
+ # Part for the electrostatic CSD:
+ CSD_data = None
+ polytopes = None
+ if not use_sensor_signal or compute_polytopes:
+ backend, CSD_data, states = get_CSD_data(csimulator, np.array(plane_axes).T,v_offset, minV, maxV, resolution, target_state)
+ CSD_data = CSD_data.T
+ if compute_polytopes:
+ polytopes = get_polytopes(states, backend, minV, maxV)
+
+
+ # Part for the sensor signal:
+ sensor_values = None
+ if use_sensor_signal:
+ sensor_values = simulator.sensor_scan_2D(plane_axes, v_offset, minV, maxV, resolution, target_state,insitu_axis=insitu_axis)
+
+ return xout, yout, CSD_data, polytopes, sensor_values, v_offset
+
+
diff --git a/QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/src/qdarts/noise_processes.py b/QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/src/qdarts/noise_processes.py
new file mode 100644
index 0000000..4a28177
--- /dev/null
+++ b/QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/src/qdarts/noise_processes.py
@@ -0,0 +1,166 @@
+import numpy as np
+from abc import ABCMeta, abstractmethod
+
+class AbstractNoiseProcess(metaclass=ABCMeta):
+ """
+ Models a noise process that produces possibly dependent samples :math:`\epsilon(v)_t`. The noise process
+ can depend on the device voltages v and the noise can depend on all previous samples in the sequence. We assume
+ that :math:`\epsilon(v)_t` is vector valued and the number of elements is stored in the ``num_elements`` attribute
+
+ A sequence is started by calling ``start_sequence``, at which point the newly sampled points are independent from
+ all previous samples.
+
+ Note that currently, the elements in the noise process are assumed to be drawn with equal time difference between samples.
+
+ Attributes
+ ----------
+ num_elements: int
+ the dimensionality of the noise variable
+ """
+
+ def __init__(self, num_elements):
+ self.num_elements = num_elements
+
+ @abstractmethod
+ def slice(self, P, m):
+ """ Restricts the noise to the affine subspace :math:`v=m+Pv`.
+
+ Parameters
+ ----------
+ P : MxK np.array of floats
+ The linear coefficient matrix.
+ m: M np.array of floats
+ offset of the affine transformation.
+
+ Returns
+ -------
+ A noise process object describing the noise on the affine subspace. The current noise object remains unchanged.
+ """
+ pass
+
+ @abstractmethod
+ def start_sequence(self):
+ """
+ Restart the sequence so that the next sample drawn is independent from all previous samples.
+ """
+ pass
+
+ @abstractmethod
+ def __call__(self,v):
+ """ Returns the next element of the noise process.
+
+ Parameters
+ ----------
+ v : K np.array of floats
+ The current voltage parameter of the device
+
+ Returns
+ -------
+ An element of the noise process :math:`\epsilon(v)_t`. This is assumed to be a vector of M elements,
+ """
+ pass
+
+class OU_process(AbstractNoiseProcess):
+ """Implements the Ornstein-Uhlenbeck noise process
+
+ This noise is independent of v. We have that
+
+ .. math::
+ \epsilon(v)_{t+1}=a \epsilon(v)_t + \sqrt{1-a^2} \sigma \epsilon_t
+
+ Where :math:`\epsilon_t` is independent gaussian noise and
+
+ .. math::
+ a=e^{-\\frac{\Delta t}{t_c}}
+
+ It is possible to generate multiple independent samples of the same process simultaneously.
+ """
+ def __init__(self, sigma, tc, dt, num_elements):
+ """ Instantiates the OU process with its process parameters.
+
+ Arguments
+ ---------
+ sigma: float
+ Standard deviation of the OU process
+ tc: float
+ time correlation parameters, the higher the more samples are correlated
+ dt: float
+ time step between samples. The higher, the less samples are correlated
+ num_elements: int
+ How many independnet samples are computed simultaneously
+ """
+ super().__init__(num_elements)
+ self.sigma = sigma
+ self.tc = tc
+ self.dt = dt
+ self.a = (np.exp(-self.dt/self.tc))
+ self.b = np.sqrt(1-np.exp(-2*self.dt/self.tc))*self.sigma
+
+ def slice(self, P,m):
+ return self
+
+ def start_sequence(self):
+ self.x = self.sigma * np.random.randn(self.num_elements)
+ def next_val(self):
+ n = np.random.randn(len(self.x))
+ self.x = self.x*self.a +self.b*n
+ return self.x
+
+ def __call__(self,v):
+ return self.next_val()
+
+class Cosine_Mean_Function(AbstractNoiseProcess):
+ """ Decorator of an random process that models an additive mean term that depends on the gate voltages.
+ This term is added to noise values sampled from the decorated noise model
+
+ The mean term of the ith noise element is given as a set of cosine functions:
+
+ :math:`\mu_i(v)= \sum_j a_{ij} \cos(2\pi (w_{ij}^T v+b_{ij}))`
+
+ and the resulting noise is
+
+ :math:`\epsilon(v)_{t}=\mu(v) + \epsilon(v)^D_{t}`
+
+ where :math:`\epsilon(v)^D_{t}` is the decorated noise process.
+
+ The user supplies the weight tensor W with elements :math:`W_{ijk}` so that W[i,j] is the vector :math:`w_{ij}`
+ and a matrix a with the amplitude values :math:`a_{ij}`. Finally, b is the matrix of offsets :math:`b_{ij}`, which can be left as None,
+ in which case it is sampled uniformly between 0 and 1.
+ """
+ def __init__(self, noise_model, a, W, b=None):
+ """ Initialized the cosine mean function.
+
+ Parameters
+ ----------
+ noise_model: AbstractNoiseProcess
+ The noise process with N dimensions to decorrate.
+ a: NxM np.array of float
+ Amplitudes of the M overlapping cosine functions
+ W: NxMxK np.array of float
+ K dimensional weights of the M consine functions for the N outputs.
+ b: NxM np.array of float or None
+ Phases of the M overlapping cosine functions. If none, it is drawn uniformly between 0 and 1.
+ """
+ super().__init__(noise_model.num_elements)
+ self.noise_model = noise_model
+ self.a = a
+ self.W = W
+ self.b = b if not (b is None) else np.random.uniform(size=a.shape)
+ def slice(self, P,m):
+ new_W = np.einsum('ijk,kl->ijl',self.W,P)
+ new_b = self.b + np.einsum('ijk,k->ij',self.W,m)
+ return Cosine_Mean_Function(self.noise_model, self.a, new_W, new_b)
+ def start_sequence(self):
+ self.noise_model.start_sequence()
+ def __call__(self,v):
+ #compute noise
+ noise_values = self.noise_model(v)
+
+ #add the mean
+ activation = 2*np.pi*(np.einsum('ijk,k->ij',self.W,v)+self.b)
+ mean = np.sum(2*np.pi*self.a*np.cos(activation),axis=1)
+ noise_values += mean.reshape(1,-1)
+
+ return noise_values
+
+
diff --git a/QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/src/qdarts/plotting.py b/QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/src/qdarts/plotting.py
new file mode 100644
index 0000000..b275fd4
--- /dev/null
+++ b/QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/src/qdarts/plotting.py
@@ -0,0 +1,214 @@
+import numpy as np
+from scipy.spatial import HalfspaceIntersection, ConvexHull
+from scipy.optimize import linprog
+from matplotlib import pyplot as plt
+#all code here is required for plotting in the provided notebook
+def is_sequence(seq):
+ if isinstance(seq, str):
+ return False
+ try:
+ len(seq)
+ except Exception:
+ return False
+ return True
+
+
+
+def find_feasible_point(halfspaces):
+ """Computes a feasible point by a polytope defined in halfspace format. internal."""
+ norm_vector = np.reshape(np.linalg.norm(halfspaces[:, :-1], axis=1), (halfspaces.shape[0], 1))
+ c = np.zeros((halfspaces.shape[1],))
+ c[-1] = -1
+ A = np.hstack((halfspaces[:, :-1], norm_vector))
+ b = - halfspaces[:, -1:]
+ res = linprog(c, A_ub=A, b_ub=b, bounds = (None,None))
+ return res.x[:-1]
+
+
+def plot_2D_polytope(ax,A,b,color,lower_bounds, label=None, linestyle='-',linewidth=1):
+ """Plots a single 2D polytope. internal. """
+ eqs=np.hstack([A,b.reshape(-1,1)])
+ #add constraints to polytope
+ eqs = np.vstack([eqs,lower_bounds])
+
+ # Get the corners
+
+ feasible_point = find_feasible_point(eqs)
+ if not np.all(eqs[:,:-1]@feasible_point+eqs[:,-1] < 1.e-5):
+ return None, None
+ corners = HalfspaceIntersection(eqs, feasible_point).intersections
+
+ # Easiest way to get proper line-segments of the boundaries in 2D is via the convex hull
+ # Form a convex hull based on the corners
+ hull = ConvexHull(corners)
+ # Plot lines between the points forming the hull (they are assumed to come in counterclockwise order)
+ for i,simplex in enumerate(hull.simplices):
+ label_trace = label
+ if i != 0:
+ label_trace = None
+ ax.plot(corners[simplex, 0], corners[simplex, 1], linestyle, c=color, lw=linewidth,label=label_trace)
+ return feasible_point, (np.min(corners,axis=0),np.max(corners,axis=0))
+
+
+def get_2D_polytope(A,b,color,lower_bounds, label=None, linestyle='-',linewidth=1):
+ """computes the corners of a 2D polytope from the provided polytope. internal"""
+ eqs=np.hstack([A,b.reshape(-1,1)])
+ #add constraints to polytope
+ eqs = np.vstack([eqs,lower_bounds])
+
+ # Get the corners
+
+ feasible_point = find_feasible_point(eqs)
+ if not np.all(eqs[:,:-1]@feasible_point+eqs[:,-1] < 1.e-5):
+ return None, None
+ corners = HalfspaceIntersection(eqs, feasible_point).intersections
+
+ # Easiest way to get proper line-segments of the boundaries in 2D is via the convex hull
+ # Form a convex hull based on the corners
+ return corners
+
+
+
+def raster_CSD_states(simulation, P, v_0, minV, maxV, resolution, state_hint_lower_right):
+ """Creates a grid of points in 2D space and computes for each point the ground state. Internal."""
+ if not is_sequence(resolution):
+ resolution = [resolution,resolution]
+ states=np.zeros((resolution[0],resolution[1], simulation.num_dots),dtype=int)
+ line_start = simulation.find_state_of_voltage(v_0+P@np.array([minV[0],minV[1]]), state_hint_lower_right)
+ for i,v1 in enumerate(np.linspace(minV[0],maxV[0],resolution[0])):
+ state = line_start
+ for j,v2 in enumerate(np.linspace(minV[1],maxV[1],resolution[1])):
+ v = v_0+P@np.array([v1,v2])
+ state = simulation.find_state_of_voltage(v,state)
+ if not simulation.inside_state(v,state):
+ print("error")
+ if j == 0:
+ line_start = state
+ states[i,j] = state
+ return states
+
+
+
+def get_CSD_data(simulation, P, v_0, lower_left, upper_right, resolution, state_hint_lower_left):
+ """
+ Function that computes a Charge Stability Diagram from a simulation of a device.
+ The function plots the states at voltages v=v_0+P*x where x is a vector with elements
+ in a box defined by its lower-left and upper-right corners given by lower_left and upper_right and
+ number of values given by the resolution. if upper_right=-lower_left then v_0 is the center
+ pixel of the rastered plot.
+
+ By default, a background image is plotted
+ which is based on the charge onfiguration at a position. This is overlayed with a line plot indicating the
+ exact transition points between states. Optionally each region is labelled using the exact electron state.
+
+ Parameters
+ ----------
+ simulation: the device simulation to raster
+ ax: matplotlib axis object to plot into
+ v_0: the origin of the coordinate system to plot.
+ P: coordinate system. A nx2 axis where n is the number of gates in simulation.
+ lower_left: minimum value in x for both axes
+ upper_right: maximum value of x in both axes
+ resolution: number of sampled points in each direction of x. either single number or one per axis.
+ state_hint_lower_left: starting point to guess the initial state of the lower left corner. must not be empty within sim.
+ draw_labels: whether to draw the label of the state in a region
+ draw_background: whether to draw a color map of the states of the CSD.
+ """
+ minV = np.array(lower_left)
+ maxV = np.array(upper_right)
+
+ #find the true corner state before slicing the simulation. otherwise we might have trouble
+ #finding it if the state hint does not touch the projection
+
+ lower_left_corner = v_0 + P@minV
+ corner_state = simulation.find_state_of_voltage(lower_left_corner, state_hint_lower_left)
+ simulation_slice = simulation.slice(P, v_0, proxy=True)
+
+ #compute CSD
+ states = raster_CSD_states(simulation_slice, np.eye(2), np.zeros(2), minV, maxV, resolution, corner_state)
+ color_weights = np.linspace(1,2.7,simulation_slice.num_dots)
+ CSD_data = 1+np.sum(color_weights.reshape(1,1,-1)*states,axis=2)
+ return simulation_slice, CSD_data, states
+
+
+def get_polytopes(states, simulation_slice, minV, maxV):
+ """For each unique state in the provided state list, computes the corners of the polytope. of the 2D sliced simulation.
+
+ This function is used for plotting of the exact state lines of the underlying capacitive model.
+ """
+ #iterate over the list of different states and plot their sliced polytope
+
+ states = [tuple(s) for s in states.reshape(-1,simulation_slice.num_dots).tolist()]
+ state_list = set(states)
+ polytope_list = {}
+ for state in state_list:
+ #get the polytope
+ polytope=simulation_slice.boundaries(state)
+ A=polytope.A
+ b=polytope.b
+
+ #check if polytope is empty and continue otherwise (should never trigger)
+ if A.shape[0] == 0:
+ continue
+ lower_bounds_graph = np.hstack([-np.eye(2), (minV-0.05*abs(minV))[:,None]])
+ upper_bounds_graph = np.hstack([np.eye(2), -(maxV+0.05*abs(maxV))[:,None]])
+ lower_bounds = np.vstack([lower_bounds_graph, upper_bounds_graph])
+ corners = get_2D_polytope(A,b,"white",lower_bounds)
+ polytope_list[str(state)] = np.array(corners)
+ return polytope_list
+
+def plot_polytopes(ax, polytopes, fontsize = 10, color = "w",
+ axes_rescale = 1, only_labels = False, only_edges = False,
+ skip_dots = [], alpha = 1, lw = 1
+ ):
+ """Plot the polytopes computes by get_polytopes"""
+ xlim = ax.get_xlim()
+ ylim = ax.get_ylim()
+
+ for polytope in polytopes:
+ corners = polytopes[polytope]
+ hull = ConvexHull(polytopes[polytope])
+ if not only_labels:
+ for i,simplex in enumerate(hull.simplices):
+ ax.plot(corners[simplex, 0]* axes_rescale , corners[simplex, 1]* axes_rescale , "-", c=color, lw=lw, alpha = alpha)
+ if not only_edges:
+ box_mid = (np.array(np.min(corners, axis=0)) + np.array(np.max(corners, axis=0)))/2*axes_rescale
+ # skip skip_dots entries to polytope
+ res = np.array([int(ele) for ele in str(polytope[1:-1]).split(",")])
+ inds = np.array(list(set(np.arange(len(res))) - set(skip_dots)), dtype=int)
+
+
+ if( box_mid[0] > xlim[0] and box_mid[0] < xlim[1] and box_mid[1] > ylim[0] and box_mid[1] < ylim[1] ):
+ ax.text(box_mid[0], box_mid[1], str(list(res[inds])), c=color,ha='center', va='center', fontsize=fontsize)
+
+
+'''
+def get_polytopes(states, simulation_slice, minV, maxV):
+ #iterate over the list of different states and plot their sliced polytope
+ draw_labels = True
+ states = [tuple(s) for s in states.reshape(-1,simulation_slice.num_dots).tolist()]
+ state_list = set(states)
+ polytope_list = []
+ for state in state_list:
+ polytope_list.append(simulation_slice.boundaries(state))
+ print(polytope_list[-1])
+ #get the polytope
+ polytope=simulation_slice.boundaries(state)
+ A=polytope.A
+ b=polytope.b
+
+ #check if polytope is empty and continue otherwise (should never trigger)
+ if A.shape[0] == 0:
+ continue
+ lower_bounds_graph = np.hstack([-np.eye(2), (minV-0.05*abs(minV))[:,None]])
+ upper_bounds_graph = np.hstack([np.eye(2), -(maxV+0.05*abs(maxV))[:,None]])
+ lower_bounds = np.vstack([lower_bounds_graph, upper_bounds_graph])
+ point_inside,box = plot_2D_polytope(ax,A,b,"white",lower_bounds)
+ print(box)
+ if draw_labels and not box is None:
+ box_mid = (box[0]+box[1])/2
+ # Add charge state text
+ if( box_mid[0] > minV[0] and box_mid[0] < maxV[0] and box_mid[1] > minV[1] and box_mid[1] < maxV[1] ):
+ ax.text(box_mid[0], box_mid[1], str(state), c="white",ha='center', va='center')
+'''
+
diff --git a/QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/src/qdarts/polytope.py b/QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/src/qdarts/polytope.py
new file mode 100644
index 0000000..741ebca
--- /dev/null
+++ b/QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/src/qdarts/polytope.py
@@ -0,0 +1,123 @@
+import numpy as np
+
+class Polytope:
+ """ Represents the polytope P(n) defined by all gate voltages v in a device that have
+ capacitive ground state n. They are stored as a set of linear inequalities (A,b), and
+ A point v in P(n) fulfills
+
+ :math:`Av+b <0`
+
+ Each inequality represents a facet of the polytope and each facet marks a transition from P(n) to
+ some other ground state polytope P(n'). The state difference t=n'-n is stored as label for each
+ inequality.
+
+ Not each inequality stored must touch the polytope. There might be others that could be removed without changing P(n).
+ The distance from the polytope is given by the slack variable s that for each inequality either is 0 if the side is touching
+ (or some number numerically close to 0, e..g, 1.e-8) and otherwise we have
+
+ :math:`s_i = min_v A_i^Tv +b_i, v \in P(n)`
+
+ If the inequalities measure difference in capacitive energy from the ground state (which is default in the simulator) the slack
+ therefore indicates the minimum energy gap between the transition state indicated by the inequality and the ground state.
+
+ Finally, for optimization reason, not every polytope might be fully computed and must be verified. This should never happen to a user
+ and is mostly an internal detail of the simulator. This holds as well for additional information that can be stored inside a dict in the
+ polytope. The simulators can store additional info in the polytope via this way.
+
+ Attributes
+ ----------
+ state: D np.array of int
+ The D dimensional array that stores the electron configuration n of the current ground state polytope. All points inside
+ the polytope have this state as ground state.
+ labels: NxD np.array of int
+ Matrix of transitions. Each of the N inequalities is labeled by the state difference t=n'-n.
+ A: NxK np.array of float
+ Linear factors of the N inequalities for a K-dimensional gate space.
+ b: N np.array of float
+ constant offsets of the N linear inequalities
+ slacks: N np.array of float
+ Measures the distance of the inequality from the boundary of the polytope. ~0 if touching.
+ point_inside: K np.array of float
+ A point inside the polytope.
+ must_verify: bool
+ Internal variable for bookkeeping whether the polytope needs recomputing (mostly after slice). Should ALWAYS be False for polytopes
+ queried from the simulator. TODO: can we remove this?
+ additional_info: dict
+ Internal additional information that later steps of the simulation can store inside a polytope for bookkeeping.
+ """
+ def __init__(self, state):
+ #empty polytope
+ self.state = state
+ self.labels = np.array([])
+ self.A = np.array([])
+ self.b = np.array([])
+ self.slacks = np.array([])
+ self.point_inside = np.array([])
+ self.must_verify = False
+ self.additional_info={}
+
+ def set_polytope(self, labels, A, b, slacks, point_inside, must_verify = False):
+ """ Sets the internal variables of the polytope.
+
+ Helper function to ensure thateverything is set as it should be.
+ """
+ self.labels = labels
+ self.A = A
+ self.b = b
+ self.slacks = slacks
+ self.point_inside = point_inside
+ self.must_verify = must_verify
+
+ def lazy_slice(self, P, m):
+ """
+ Slices a polytope lazyily, i.e., without recomputing the slacks and boundaries.
+
+ As a result, after this must_verify is True. P is not required to be invertible.
+
+ Parameters
+ ----------
+ P: KxK np.array of float
+ Invertible linear transformation matrix
+ m: K np.array of float
+ Affine offset of the transformation.
+ """
+ sliced = Polytope(self.state)
+ if self.A.shape[0] == 0:
+ sliced.set_polytope(self.labels, self.A, self.b, np.array([]), None, False)
+ else:
+ sliced.set_polytope(
+ self.labels,
+ self.A@P, #we know the line equations
+ self.b+self.A@m, #and their offsets
+ None, None, #but nothing else
+ True #user must verify this later.
+ )
+ return sliced
+
+ def invertible_transform(self, P, m):
+ """
+ Apply an invertible affine transformation to the polytope. This can be done without changing slacks and thus no verification is needed.
+
+ Changes the space of the polytope via the transformation :math:`v=Av'+b`. Returns the polytope in the coordinate system of v'
+
+ Parameters
+ ----------
+ P: KxK np.array of float
+ Invertible linear transformation matrix
+ m: K np.array of float
+ Affine offset of the transformation.
+ """
+ if self.must_verify:
+ return self.lazy_slice(P, m)
+
+ transformed = Polytope(self.state)
+
+ transformed_point_inside = np.linalg.inv(P)@(self.point_inside - m)
+ transformed.set_polytope(
+ self.labels,
+ self.A@P, #we know the line equations
+ self.b+self.A@m, #and their offsets
+ self.slacks, #slacks are constant under invertible transforms.
+ transformed_point_inside
+ )
+ return transformed
\ No newline at end of file
diff --git a/QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/src/qdarts/simulator.py b/QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/src/qdarts/simulator.py
new file mode 100644
index 0000000..bd78875
--- /dev/null
+++ b/QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/src/qdarts/simulator.py
@@ -0,0 +1,448 @@
+import numpy as np
+from qdarts.util_functions import is_invertible_matrix
+from qdarts.capacitance_model import CapacitanceModel
+from qdarts.util_functions import compensate_simulator_sensors, fix_gates, find_point_on_transitions, axis_align_transitions
+from abc import ABCMeta, abstractmethod
+
+class AbstractPolytopeSimulator(metaclass=ABCMeta):
+ """ Base class for all simulation objects that can compute and return polytopes.
+
+ The class only has a single method boundaries which returns the boundary description of the polytope
+ with meta information as well as two attributes:
+
+ Attributes
+ ----------
+
+ num_dots: int
+ number of dots in the device, i.e., number of entries in the state vector of the polytope
+ num_inputs: int
+ number of gate voltages in the device. The polytope lives in a space that is num_inputs dimensonal.
+ """
+ def __init__(self, num_dots, num_inputs):
+ self.num_dots = num_dots
+ self.num_inputs = num_inputs
+
+ @abstractmethod
+ def boundaries(self, state):
+ """
+ Returns the polytope P(n) of a given state n with all its boundaries, labels and meta information.
+
+ Parameters
+ ----------
+ state: list of ints
+ The state n for which to compute the polytope P(n)
+
+ Returns
+ -------
+ The polytope P(n)
+ """
+ pass
+
+ @abstractmethod
+ def slice(self, P, m, proxy=False):
+ """ Restricts the simulator to the affine subspace v=m+Pv'
+
+ Computes the slice through the device by setting v=m+Pv', where v is the plunger gate voltages of the
+ original device and v' is the new coordinate system. Must be implemented by derived classes.
+
+ Parameters
+ ----------
+ P : MxK np.array of floats
+ The linear coefficient matrix. Here M is the number of voltage elements in v in the full simulation
+ and K the dimensionality of the subspace.
+ m: offset of the affine trnsformation.
+ proxy: bool
+ Whether a proxy is returned. A proxy can share computation between instances, if supported by the derived class
+
+ Returns
+ -------
+ A simulator object describing the simulation on the affine subspace. The current simulation object remains unchanged.
+ """
+ pass
+
+class AbstractCapacitiveDeviceSimulator(AbstractPolytopeSimulator):
+ """Base class for all objects that create device simulations from a Capacitive Model.
+
+ This class includes all tools to compute and cache polytopes from the provided capacitive model.
+ Polytopes are queried using a call to boundaries() which queries the internal cache and then
+ computes the polytope on demand.
+
+ The computed polytope P(n) is the set of voltages v for which n is the ground state of the capacitance
+ energy function E(v,n), i.e., n=min_n' E(v,n'). A facet of the polytope is given by the equality
+ E(v,n')-E(v,n) = 0 for a suitable choice of n'. As a result, when shooting a ray through
+ a facet of the polytope created by state n', there is a transition from state n->n' in the ground state.
+
+ The computation of the polytope discards by default all states and inequalitis that do not form a facet of P(n).
+ However, this can be relaed by allowing a maximum slack, which also keeps facets for which
+ min_v E(v,n')-E(v,n) < max_slack, where v is restricted to elements in the polytope P(n). i.e., max slack keeps facet
+ in which the energy difference is small.
+
+ This class supports slicing of the voltage space into affine subspaces.
+ """
+ def __init__(self, capacitance_model):
+ super().__init__(capacitance_model.num_dots, capacitance_model.num_inputs)
+ self.capacitance_model = capacitance_model
+ self.cache = {}
+
+ @abstractmethod
+ def slice(self, P, m, proxy=False):
+ """ Restricts the simulator to the affine subspace v=m+Pv'
+
+ Computes the slice through the device by setting v=m+Pv', where v is the plunger gate voltages of the
+ original device and v' is the new coordinate system. Must be implemented by derived classes.
+
+ Parameters
+ ----------
+ P : MxK np.array of floats
+ The linear coefficient matrix. Here M is the number of voltage elements in v in the full simulation
+ and K the dimensionality of the subspace.
+ m: offset of the affine trnsformation.
+ proxy: bool
+ Whether a proxy is returned. A proxy shares the cache, if possible. This is the case when P is invertible,
+ especially this entails M=K. If cache sharing is possible, the simulation computes the original polytope and then
+ applies the affine transformation. This can reduce run time a lot if several slices need to be computed for the
+ same simulation.
+
+ Returns
+ -------
+ A simulator object describing the simulation on the affine subspace. The current simulation object remains unchanged.
+ """
+ pass
+
+ @abstractmethod
+ def compute_polytope(self, state):
+ """
+ Computes the polytope for a given state.
+
+ Is implemented by the derived class and called when the polytope for a state is not found in cache.
+
+ Parameters
+ ----------
+ state : list of ints
+ the state identifying the polytope
+
+
+ Returns
+ -------
+ A Polytope object containing the full computed polytope.
+ """
+ pass
+
+ def compute_transition_equations(self, state_list, state_from):
+ """ Computes the energy difference equations from target states to all states in the list.
+
+ For a given state and list of neighbour states, computes the linear equations Av+b that compute the energy differences
+ Between the target state_from and the other states. That is, if state_list contains a list of states n', this
+ function constains linear equations E(v,n')-E(v,state_from)
+
+ Parameters
+ ----------
+ state_list: numpy array of ints of size NxK
+ A list containing N states for which to compute the energy differences
+
+ Returns
+ -------
+ A: NxK np.array, containing the linear factors for each state in state_list
+ b: np.array, containing the N offsets, one for each equation.
+ """
+ return self.capacitance_model.compute_transition_equations(state_list,state_from)
+
+ @abstractmethod
+ def get_maximum_polytope_slack(self):
+ """Returns the maximum slack value for inclusing of a facet into the polytope.
+
+ Returns the maximum energy distance the closest point of a transition can have to the polytope
+ before it is discarded. Setting to 0 means that only transitions that actually touch the polytope
+ are kept.
+ """
+ pass
+
+ @abstractmethod
+ def set_maximum_polytope_slack(self, maximum_slack):
+ """Sets the maximum slack value for inclusing of a facet into the polytope.
+
+ Sets the maximum distance the closest point of a transition can have to the polytope
+ before it is discarded. Setting to 0 means that only transitions that actually touch the polytope
+ are kept.
+
+ Note that changing this value clears the cache.
+ """
+ pass
+
+ def cached_polytopes(self):
+ """
+ Returns a sequence including all computed and cached polytopes for inspection and modification.
+ """
+ return self.cache.values()
+
+ def boundaries(self, state):
+ """
+ Returns the polytope P(n) of a given state n with all its boundaries, labels and meta information.
+
+ If the polytope is not cached, it needs to be computed. This can take some time for large devices.
+
+ Parameters
+ ----------
+ state: list of ints
+ The state n for which to compute the polytope P(n)
+
+ Returns
+ -------
+ The polytope P(n)
+ """
+ # Convert to array to be sure
+ state = np.asarray(state).astype(int)
+
+ # lookup key of this state
+ dict_key = tuple(state.tolist())
+ # See if we already have this key in our prepared list
+ if not dict_key in self.cache.keys():
+ self.cache[dict_key] = self.compute_polytope(state)
+
+ #obtain polyope from dict
+ polytope = self.cache[dict_key]
+
+ #slice is allowed to be lazy but then we need to verify the polytope now.
+ if polytope.must_verify:
+ polytope = self.capacitance_model.verify_polytope(polytope,self.get_maximum_polytope_slack())
+ self.cache[dict_key] = polytope
+
+ return polytope
+
+
+ def inside_state(self, v, state):
+ """ Returns true if a point v is fully within the polytope of a given state.
+
+ Parameters
+ ----------
+ state: list of ints
+ The state n identifying the polytope P(n)
+ v: np.array of floats
+ The point v
+
+
+ Returns
+ -------
+ The truth value of whether v is element of P(n)
+ """
+ polytope = self.boundaries(state)
+ if len(polytope.labels) == 0:
+ return False
+ f = polytope.A@v + polytope.b
+ return np.all(f < 1.e-8)
+
+ def find_boundary_intersection(self, old_v, new_v, state, epsilon=1.e-6, deep_search=True):
+ """Computes an intersection of a ray with the boundary of a polytope and computes the new state
+
+ For a given state and a voltage old_v within the polytope of this state and a point new_v outside the polytope,
+ computes the intersection of the ray old_v+t*(new_v-old_v) with the boundary of the polytope.
+ the intersection point and new target state is computed.
+
+
+ Parameters
+ ----------
+ old_v: np.array of floats
+ A point within the current polytope
+ new_v: np.array of floats
+ Another point on the ray
+ state: list of ints
+ The ground state n of old_v. It is assumed that v is element of P(n)
+ epsilon: float
+ slack value added to the ray t to ensure that the point is numerically clearly outside the polytope.
+ deep_search: bool
+ whether an iterative search is performed for the new point in case none of the direct neighbours of the polytope match.
+ If false, will throw an exception in that case. An exception is also raised when the deep search failed.
+
+
+ Returns
+ -------
+ The first intersection point of the ray with the polytope, together with the new state
+ """
+ if not self.inside_state(old_v,state):
+ raise ValueError("old_v must be in the provided state.")
+
+ polytope = self.boundaries(state)
+
+ direction = new_v - old_v
+ direction /= np.linalg.norm(direction)
+
+ A_line = polytope.A @ direction
+ b_line = polytope.b + polytope.A @ old_v
+ positive = np.where(A_line > 0)[0]
+ ts = -b_line[positive]/A_line[positive]
+ transition_idx = np.argmin(ts)
+
+ #construct point of cosest hit
+ transition_state = state + polytope.labels[positive[transition_idx]]
+ v_intersect = old_v + (1+epsilon)*ts[transition_idx]*direction
+ if self.inside_state(v_intersect, transition_state):
+ return transition_state, v_intersect
+
+ #the new point might have went through a corner, so we check all states whose transitions are now violated
+
+ rel_energy = polytope.A@v_intersect+polytope.b
+ idx_order = np.argsort(rel_energy)
+ for idx in idx_order:
+ #pass 1: ignore transitions that don't touch the polytope.
+ if polytope.slacks[idx]>1e-6:
+ continue
+ if rel_energy[idx] < -1.e-8:
+ continue
+ transition_state = state + polytope.labels[idx]
+ if self.inside_state(v_intersect, transition_state):
+ return transition_state, v_intersect
+
+ for idx in idx_order:
+ #pass 2: now try the near-hits
+ if polytope.slacks[idx]<1e-6:
+ continue
+ if rel_energy[idx] < -1.e-8:
+ continue
+ transition_state = state + polytope.labels[idx]
+ if self.inside_state(v_intersect, transition_state):
+ return transition_state, v_intersect
+ if not self.inside_state(v_intersect, transition_state):
+ if deep_search == False:
+ print(old_v, new_v, state)
+ raise LookupError()
+
+ transition_state = self.find_state_of_voltage(new_v, state, deep_search= False)
+
+ return transition_state, v_intersect
+
+ def find_state_of_voltage(self,v,state_hint, deep_search=True):
+ """ Searches the ground state for a given voltage, given an initial guess.
+
+ For a given state voltage, computes the state for which is within the polytope of the state.
+ Note that the choice of the hint is not arbitrary, since the search starts from a point in state_hint
+ in order to find iteratively intersections with the boundary that are closer to v. A specific requirement
+ is that the polytope must not be empty, i.e., in case of a sliced simulator, the polytope must intersect
+ with the affine space. This can sometimes be tricky and we recommend perform this type of computations
+ only on spaces where all plungers are available and then perform the slicing through v.
+
+ Parameters
+ ----------
+ v: np.array of floats
+ Voltage vector for which to find the ground state
+ state_hint: list of ints
+ a likely candidate for the state.
+ deep_search: bool
+ whether an iterative search is performed in case none of the direct neighbours of a polytope match.
+ If false, will throw an exception in that case. An exception is also raised when the deep search failed.
+ """
+ state = state_hint
+ polytope = self.boundaries(state)
+ if len(polytope.labels) == 0:
+ raise ValueError("polytope of state_hint does not intersect with plane")
+
+ # Check if hint was correct
+ # If not we have to search.
+ # We hope that the solution is close enough and find the transitions
+ v_inside = polytope.point_inside.copy()
+ while not self.inside_state(v,state):
+ state,v_inside = self.find_boundary_intersection(v_inside, v, state, deep_search = deep_search)
+
+ return state
+
+class CapacitiveDeviceSimulator(AbstractCapacitiveDeviceSimulator):
+ """
+ This class simulates a quantum dot device based on a capacitance model.
+
+ The simulator interally keeps track of the Coulomb diamonds (polytopes) and their transitions (facets),
+ and takes care of keeping track of which transitions are feasible, with what precision, etc.
+ This allows one to ask questions such as: "which transition does this facet correspond to?" and
+ "what is the orthogonal axis in voltage space (i.e. virtual gate) that tunes across it?".
+ The simulator will return, for each transition, a point on the transition line and the virtual gate.
+
+ It also has the ability to take 2D slices through high dimensional voltage spaces to construct 2D
+ projections of charge stability diagrams. See documentation of AbstractCapacitiveDeviceSimulator for more details.
+ """
+
+ def __init__(self, capacitance_model):
+ super().__init__(capacitance_model)
+ self.maximum_slack = 0.0
+
+ def compute_polytope(self, state):
+ return self.capacitance_model.compute_polytope_for_state(state,self.maximum_slack)
+
+ def get_maximum_polytope_slack(self):
+ return self.maximum_slack
+
+ def set_maximum_polytope_slack(self, maximum_slack):
+ self.maximum_slack = maximum_slack
+ self.cache={}
+
+ def slice(self, P, m, proxy=None):
+
+ #if proxy is not set, we check whether P is invertible
+ #if it is invertible, then reusing the cache is the most efficient
+ #in the general case where we don't know whether the original simulator
+ #will be used still.
+
+ #checking invertibility also allows us to quickly transform the cache
+ is_invertible = is_invertible_matrix(P)
+ if proxy is None:
+ proxy = is_invertible
+
+ if proxy == True:
+ sliced_proxy = CapacitiveDeviceSimulatorProxy(self, P, m)
+ return sliced_proxy
+ else:
+ sliced_simulator = CapacitiveDeviceSimulator(self.capacitance_model.slice(P,m))
+ sliced_simulator.maximum_slack = self.maximum_slack
+ #slice all precomputed polytopes in a lazy manner.
+ for key, polytope in self.cache.items():
+ if is_invertible:
+ sliced_simulator.cache[key] = polytope.invertible_transform(P, m)
+ else:
+ sliced_simulator.cache[key] = polytope.lazy_slice(P, m)
+
+ return sliced_simulator
+
+class CapacitiveDeviceSimulatorProxy(AbstractCapacitiveDeviceSimulator):
+
+ """
+ This class is a slice proxy for the CapacitiveDeviceSimulator class. It gets returned by
+ any slice operation, when a proxy is requested. This is unlikely to be used by the user
+ directly and mostly used during plotting. The advantage of a proxy is that it can make better use of
+ caching at the expense of higher computation cost: all queries for polytopes are computed by the original simulator
+ and thus if several different slices of the same simulator are needed, they can share computed polytopes.
+
+ For the methods, see the documentation of AbstractCapacitiveDeviceSimulator
+ """
+ def __init__(self, simulator, P, m):
+ super().__init__(simulator.capacitance_model.slice(P,m))
+ self.simulator = simulator
+ self.P = P
+ self.m = m
+
+ def get_maximum_polytope_slack(self):
+ return self.simulator.get_maximum_polytope_slack()
+
+ def set_maximum_polytope_slack(self, maximum_slack):
+ self.simulator.set_maximum_polytope_slack(maximum_slack)
+ self.cache={}
+
+ def compute_polytope(self, state):
+ #query or compute original polytope
+ polytope = self.simulator.boundaries(state)
+
+ #transform lazyly
+
+ polytope_sliced = polytope.lazy_slice(self.P, self.m)
+ polytope_sliced = self.capacitance_model.verify_polytope(polytope_sliced,self.get_maximum_polytope_slack())
+ return polytope_sliced
+
+ def slice(self, P, m, proxy=None):
+ if proxy is None:
+ proxy = True
+
+ if proxy == True:
+ return CapacitiveDeviceSimulatorProxy(self,P, m)
+ else:
+ new_P = self.P@P
+ new_m = self.m + self.P@m
+ return self.simulator.slice(new_P, new_m, False)
+
+
+
diff --git a/QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/src/qdarts/tunneling_simulator.py b/QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/src/qdarts/tunneling_simulator.py
new file mode 100644
index 0000000..49b93c0
--- /dev/null
+++ b/QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/src/qdarts/tunneling_simulator.py
@@ -0,0 +1,844 @@
+import numpy as np
+from abc import ABCMeta, abstractmethod
+from qdarts.util_functions import find_label
+from qdarts.simulator import AbstractPolytopeSimulator
+
+def softmax(v,axis=None):
+ max_v = np.max(v)
+ y = np.exp(v-max_v)
+ return y/np.sum(y,axis)
+
+class AbstractSensorSim(metaclass=ABCMeta):
+ """ Base class defining the interface for all sensor simulations"""
+ def __init__(self, num_sensors):
+ """Initialized a sensor configuration with num_sensors sensor dots"""
+ self.num_sensors = num_sensors
+
+ @abstractmethod
+ def slice(self, P, m):
+ """Takes an affine subspace of the simulated model."""
+ pass
+
+ @abstractmethod
+ def start_measurement(self):
+ """Reinitializes the sensor as to generate independent noise samples"""
+ pass
+
+ @abstractmethod
+ def precompute_sensor_state(self, state, A, b, basis_labels):
+ """ Allows the sensor to precompute internal information that is valid for a whole ground state polytope.
+
+ This allows the sensor to precompute and cache information that is valid for all voltages v that are inside a
+ ground state polytope P. The returned values are cached in the polytope objects of the simulator and
+ supplied as sensor_state argument during a call of sample_sensor_equilibrium and sample_sensor_configuration.
+ The supplied information provides all information of the basis labels considered by the simulation for P(n),
+ and the linear functions defining the facets of P(n) Av+b. Note that as everywhere else, these linear functions define
+ energy differences for each considered basis label to the ground state.
+
+ Parameters
+ ----------
+ state: np.array of ints
+ the state of N dots, identifying the ground state polytope for which to generate the sensor state information
+ A: LxK np.array of floats
+ LxK linear parameters of the energy difference function for the K sensor gates
+ b: np.array of floats
+ The affine offsets of the energy difference function for the L basis states
+ basis_labels: LxN np.array of ints
+ The labels of the L basis states
+ """
+ pass
+
+ @abstractmethod
+ def sample_sensor_equilibrium(self, v, H, mixed_state, sensor_state, beta):
+ """ Computes a noisy average of the sensor response for a given mixed state.
+
+ This is intended to simulate a long (>1mus) time integration of the sensor signal, thus
+ we can assume that states are thermalized but the signal is still affected by noise.
+
+ Parameters
+ ----------
+ v: np.array of floats
+ vector of K gate voltages defining the current system
+ H: LxL np.array of floats
+ Hamiltonian of the system defined by v. Labels and basis are the same as in precompute_sensor_state
+ mixed_state: LxL np.array of floats
+ Mixed state matrix computed via the Hamiltonian using expm(-beta*H)
+ sensor_state:
+ Cached information returned by precompute_sensor_state. All information therein are internal to the
+ sensor simulator
+ beta: float
+ scaled inverse temperature parameter
+ """
+ pass
+
+ @abstractmethod
+ def sample_sensor_configuration(self, sampled_configuration, v, H, mixed_state, sensor_state, beta):
+ """ samples a sensor response for a given sampled elecron configuration
+
+ This is intended to simulate a short (<<1mus) time integration of the sensor signal,
+ where we can not assume that electrons transitions during the measurement. In this case,
+ the user supplied the relevant configuration and the sensor returns a sampled signal for this configuration.
+ Care should be taken that the configuration sampled has all information needed in the base to compute the sensor
+ signal, e.g., there should be a state with one more or less electrons on each sensor dot.
+
+
+ Parameters
+ ----------
+ sampled_configuration: np.array of ints
+ vector of N elements describing the sampled electron configuration.
+ v: np.array of floats
+ vector of K gate voltages defining the current system
+ H: LxL np.array of floats
+ Hamiltonian of the system defined by v. Labels and basis are the same as in precompute_sensor_state
+ mixed_state: LxL np.array of floats
+ Mixed state matrix computed via the Hamiltonian using expm(-beta*H)
+ sensor_state:
+ Cached information returned by precompute_sensor_state. All information therein are internal to the
+ sensor simulator
+ beta: float
+ scaled inverse temperature parameter
+ """
+ pass
+
+class NoisySensorDot(AbstractSensorSim):
+ """ Simulates a sensor signal by computing the conductance of the sensor dots.
+
+ This class implements the interface of AbstractSensorSim and for most points, the
+ documentation there should be referred to. This simulation combines a simple
+ estimation of the conductance g with two noise sources. A fast noise source
+ that simulates gaussian white noise that is drawn for each query of the sensor response
+ and a slow noise source that models time dependent noise between different invocations
+ of the sensor.
+
+ The shape of the simulated sensor peak can be configured ´via config_peak, in which
+ height and with of the peak can be adapted. Currently, all sensor dots share these
+ parameters.
+
+ The noise can be configured via config_noise. The noise is modeled as an additive
+ noise on the sensor peak position in voltage space. Thus, at peaks or valleys, the noise
+ is small while on the sides of the peak, where the derivatives are largest, the noise will
+ affect measurements the most. Additional signal noise is then modeled by adding white gaussian noise.
+ """
+ def __init__(self, sensor_dot_ids):
+ super().__init__(len(sensor_dot_ids))
+ self.sensor_dot_ids = sensor_dot_ids
+ self.g_max = 1
+ self.fast_noise_var = 0.0
+ self.peak_width_multiplier = 1
+ self.slow_noise_gen=None
+ self.signal_noise_scale = 0.0
+
+ def config_noise(self, sigma, signal_noise_scale, slow_noise_gen = None):
+ self.fast_noise_var = sigma**2
+ self.slow_noise_gen = slow_noise_gen
+ self.signal_noise_scale=signal_noise_scale
+ #initialize noise
+ self.start_measurement()
+
+ def config_peak(self, g_max, peak_width_multiplier):
+ self.g_max = g_max
+ self.peak_width_multiplier = peak_width_multiplier
+
+ def start_measurement(self):
+ if not self.slow_noise_gen is None:
+ self.slow_noise_gen.start_sequence()
+ def slice(self, P, m):
+ #if there is no slow noise, there is nothing to slice
+ if self.slow_noise_gen is None: return self
+
+ #otherwise create a copy of this with a sliced slow noise model
+ sliced_sensor_dot = NoisySensorDot(self.sensor_dot_ids)
+ sliced_sensor_dot.g_max = self.g_max
+ sliced_sensor_dot.fast_noise_var = self.fast_noise_var
+ sliced_sensor_dot.peak_width_multiplier = self.peak_width_multiplier
+ sliced_sensor_dot.signal_noise_scale = self.signal_noise_scale
+ sliced_sensor_dot.slow_noise_gen = self.slow_noise_gen.slice(P,m)
+ return sliced_sensor_dot
+
+ def precompute_sensor_state(self, state, A, b, labels):
+ sensor_state ={}
+ for i, sensor_id in enumerate(self.sensor_dot_ids):
+ labels_nosens = np.delete(labels,sensor_id, axis=1)
+ labels_unique, inverse_index = np.unique(labels_nosens, return_inverse=True,axis=0)
+
+ labels_sens = labels[:,sensor_id]
+ sorted_ind = np.lexsort((labels_sens,inverse_index))
+
+ relevant_label_indices = []
+ prev = []
+ next = []
+ cur = -1
+ last = None
+ last_2 = None
+ for ind in sorted_ind:
+ l = labels_nosens[ind]
+ if np.any(l != cur):
+ cur = l
+ last = None
+ last_2 = None
+ else:
+ if not last_2 is None:
+ relevant_label_indices.append(last)
+ prev.append(last_2)
+ next.append(ind)
+ last_2 = last
+ last = ind
+ terms = np.array(relevant_label_indices,dtype=int)
+ prev = np.array(prev,dtype=int)
+ next = np.array(next,dtype=int)
+ terms_labels = labels[terms,:]
+ sensor_state[sensor_id] = (terms,prev,next,terms_labels)
+ return sensor_state
+
+ def _precompute_g(self, v, H, sensor_state, beta):
+ results = np.zeros(len(self.sensor_dot_ids))
+ gs={}
+ slow_noise = np.zeros((results.shape[0],1))
+ if not self.slow_noise_gen is None:
+ slow_noise = self.slow_noise_gen(v)
+ for i, sensor_id in enumerate(self.sensor_dot_ids):
+ terms,neighbour_prev, neighbour_next, _ = sensor_state[sensor_id]
+
+ #compute sensor detuning between every state and their neighbour
+ eps_prev = np.abs(np.diag(H)[terms]-np.diag(H)[neighbour_prev])
+ eps_next = np.abs(np.diag(H)[terms]-np.diag(H)[neighbour_next])
+ eps = np.minimum(eps_prev,eps_next)
+ #add noise
+ eps = eps + slow_noise[i:i+1]
+ if self.fast_noise_var > 0:
+ fast_noise = np.random.randn(*eps.shape)*np.sqrt(self.fast_noise_var)
+ eps += fast_noise
+ eps *=beta
+
+ #we approximate the logistic peak of g with the peak of a normal distribution of same width
+ #todo: we can fully go back to the logistic peak
+ var_logistic = (1/0.631*self.peak_width_multiplier)**2
+ norm_pdf = lambda x, mu,var: 1/np.sqrt(2*np.pi*var)*np.exp(-(x-mu)**2/(2*var))
+ gs[sensor_id] = self.g_max*4*norm_pdf(0,eps, var_logistic)
+ return gs
+ def sample_sensor_equilibrium(self, v, H, mixed_state, sensor_state, beta):
+ results = np.zeros(len(self.sensor_dot_ids))
+ gs = self._precompute_g(v, H, sensor_state, beta)
+
+ for i, sensor_id in enumerate(self.sensor_dot_ids):
+ terms,neighbour_prev, neighbour_next, _ = sensor_state[sensor_id]
+ g = gs[sensor_id]
+ p = np.diag(mixed_state)[terms]
+ results[i] = np.sum(p*g)/np.sum(p)
+ var_logistic = (1/0.631*self.peak_width_multiplier)**2
+ scale = self.g_max*self.signal_noise_scale*4/np.sqrt(2*np.pi*var_logistic)
+ results += scale*np.random.randn(len(results))
+ return results
+
+ def sample_sensor_configuration(self, sampled_configuration, v, H, mixed_state, sensor_state, beta):
+ results = np.zeros(len(self.sensor_dot_ids))
+ gs = self._precompute_g(v, H, sensor_state, beta)
+
+
+ for i, sensor_id in enumerate(self.sensor_dot_ids):
+ terms,neighbour_prev, neighbour_next,terms_labels = sensor_state[sensor_id]
+ label_pos = find_label(terms_labels, sampled_configuration)
+ results[i] = gs[sensor_id][label_pos]
+ scale = self.g_max*self.signal_noise_scale*4/np.sqrt(2*np.pi*var_logistic)
+ results += scale*np.random.randn(len(results))
+ return results
+
+class TunnelBarrierModel:
+ """ Model of the tunnel barriers of a device
+
+ This class defines a mapping between gate voltages of the device and
+ the tunnel coupling between the dots. To be more exact, the tunnel
+ coupling between dots i, and j and the gate voltages v is given by
+
+ T_ij = exp(W_ij^Tv+b_ij)
+
+ where W_ij is a vector of couplings and b_ij is an offset.
+ """
+ def __init__(self, gate_offsets, gate_levers = None):
+ """Creates a tunnel barrier model.
+
+ Parameters
+ ----------
+ gate_offsets : NxN np.array of floats
+ the offsets b_ij provided as matrix.
+ gate_levers : NxNxK np.array of floats or None
+ Here, K is the number of plunger gates. The first two indices describe the index of the tunnel coupling matrix ij.
+ If None, it is assumed to be 0.
+ """
+ self.gate_offsets = gate_offsets
+ self.gate_levers = gate_levers
+
+ def slice(self, P, m):
+ """Takes an affine subspace of the simulated model.
+
+ Let v=Pv'+m. Computes a new parameterization such, that
+ T_ij = exp(W'_ij^Tv'+b'_ij)
+
+ Parameters
+ ----------
+ P : KxM np.array of floats
+ The linear transformation matrix
+ m : np.array of floats or None
+ Array of size K storing the affine offset.
+ """
+ if self.gate_levers is None:
+ return self
+ sliced_levers = self.gate_levers.reshape(-1,self.gate_levers.shape[-1])@P
+
+ sliced_levers = sliced_levers.reshape(self.gate_levers.shape[0],self.gate_levers.shape[1],P.shape[1])
+ m_applied = self.gate_levers.reshape(-1,self.gate_levers.shape[-1])@m
+ sliced_offsets = self.gate_offsets + m_applied.reshape(self.gate_levers.shape[0],self.gate_levers.shape[1])
+ return TunnelBarrierModel(sliced_offsets, sliced_levers)
+
+ def get_tunnel_matrix(self, v):
+ """Returns the tunnel matrix for a given gate voltage
+
+ Parameters
+ ----------
+ v : np.array of floats or None
+ Array of size K storing the gate voltages
+
+ """
+ if self.gate_levers is None:
+ return np.exp(self.gate_offsets)
+ else:
+ barrier_potentials = self.gate_levers@v
+ return np.exp(barrier_potentials+self.gate_offsets)
+
+
+
+class LocalSystem:
+ """ Class describing a quantum system defined by the gate voltages of a simulated device.
+
+ For a given set of gate voltages, the simulator first computes a set of core states that are most
+ likely relevant for the computation of the hamiltonian and then extends it by adding additional
+ states. These are then used to define a basis of the vector space for the Hamiltonian, which
+ is then used to compute the mixed state. Finally, the mixed state is then used to simulate a sensor signal.
+
+ This class stores all this information and includes some minimal tools to query information on
+ different sub-bases. This class is tightly coupled to tunneling_simulator.
+
+ Attributes
+ ----------
+
+ v: np.array of floats
+ gate voltages that define the parameters of this system
+ state: np.array of ints
+ the ground state configuration of v
+ beta: float
+ the scaled inverse temperature 1/k_bT
+ H: LxL np.array of floats
+ Hamiltonian over the subspace spanned by the L basis state of the extended basis.
+ See methods basis_labels and core_basis_indices
+ """
+ def __init__(self, v, H, state, sim):
+ """ Creates the LocalSystem.
+
+ This is an internal function used by the tunneling simulator.
+ """
+ self.v = v
+ self.H = H
+ self.state = state.copy()
+ self._sim = sim
+ self.beta = self._sim.beta
+ def _compute_mixed_state(self, H):
+ diffs = np.diag(H)-np.min(np.diag(H))
+ sel = np.where(diffs<2*self._sim.poly_sim.get_maximum_polytope_slack())[0]
+ H_sel = H[:,sel][sel,:]
+
+ eigs, U = np.linalg.eigh(H_sel)
+ ps = softmax(-eigs * self.beta)
+ rho_sel = U @ np.diag(ps) @ U.T
+
+ rho = np.zeros(H.shape)
+ indizes = H.shape[0]*sel[:,None]+sel[None,:]
+ np.put(rho,indizes.flatten(), rho_sel.flatten())
+ return rho
+ @property
+ def mixed_state(self):
+ """ Computes an approximate mixed state matrix over the full basis.
+
+ the mixed state matrix, defined as expm(-beta*H)
+
+ Note that this function approximated the true mixed state matrix by inly taking basis eleemnts into account
+ that have a small energy difference to the ground state. This is a multiple of the polytope slack used by the
+ capacitive simulation.
+ """
+ return self._compute_mixed_state(self.H)
+
+
+ def compute_mixed_state_of_subset(self, subset_indices):
+ """Computes the mixed state for a subset, ignoring the existance of any other state entirely.
+
+ The result is a KxK matrix where K is the length of subset_indices.
+ This function is not equivalent to selecting a subset of mixed_state, since this assumes that
+ the states not referenced by subset_indices are ruled out for some other reason, i.e., they are
+ assigned probability 0 and probabilities are renormalized to sum to 1 over the elements in the subset.
+
+
+ Parameters
+ ----------
+ subset_indices : np.array of ints
+ The L' indices into the basis element matrix as returned by basis_labels
+ m : np.array of floats or None
+ """
+
+ return self._compute_mixed_state(self.H[subset_indices,:][:, subset_indices])
+ @property
+ def basis_labels(self):
+ """The labels of the basis elements, indentified by their ground state electron configuration"""
+ return self._sim.boundaries(self.state).additional_info["extended_polytope"].labels
+
+ @property
+ def core_basis_indices(self):
+ """Indices into basis_labels that define the subset of core basis elements."""
+ return self._sim.boundaries(self.state).additional_info["extended_polytope"].core_basis_indices
+
+ def sample_sensor_equilibrium(self):
+ """ Samples a boisy averaged sensor response from the current system over all basis elements.
+
+ This returns the average signal with added sensor noise. This is an approximation to long
+ average measurements at a single point.
+ """
+ sensor_state = self._sim.boundaries(self.state).additional_info["sensor_state"]
+ return self._sim.sensor_sim.sample_sensor_equilibrium(self.v, self.H, self.mixed_state, sensor_state, self.beta)
+ def sample_sensor_configuration(self, sampled_configuration):
+ """ Samples the sensor signal for a given sampled electron configuration.
+
+ For a short time simulation it is more prudent to externally sample a state from the basis and then generate a sensor signal
+ from it. This function allows this. Note that only selecting states from the set of core_basis_indices is safe as otherwise
+ the sensor might miss information required to correctly compute the response.
+
+ Parameters
+ ----------
+ sampled_configuration: list of ints
+ the sampled state for which to generate the sensor response.
+ """
+ sensor_state = self._sim.boundaries(self.state).additional_info["sensor_state"]
+ return self._sim.sensor_sim.sample_sensor_configuration(sampled_configuration, self.v, self.H, self.mixed_state, sensor_state, self.beta)
+
+class ApproximateTunnelingSimulator(AbstractPolytopeSimulator):
+ """Simulator for approximate charge tunneling in a quantum dot device.
+
+ The simulator extends the supplied capacitive simulation by creating a Hamiltionian H,
+ where on the diagonals are the capacitive energies of the simualation, while the off-diagonals
+ have added tunnel coupling parameters. Locally the hamiltonian is approximated via L basis states,
+ where each state is an electron configurtion on the dots. This mixed state is then used to create a sensor simulation.
+
+ It is possible to query the state of single hamiltonian, their mixed state and their sensor simulation via the class
+ LocalSystem, returned by compute_local_system, but the primary use of tis class lies in its ability to compute
+ 1D or 2D sensor scans via sensor_scan and sensor_scan_2D.
+
+ For computing the tunnel coupling parameters, this class can make use of an additional Tunnel barrier simulation, but it
+ is also possible to just supply a NxN constant matrix of tunnel couplings between all D dots in the array.
+
+ Finally, the class follows the interface of AbstractPolytopeSimulator, which means it is possible to directly query the information
+ of the underlying polytopes of the simulation. This is there to unify slicing between simulators.
+
+ Implementation details:
+
+ The basis used for a gate voltage v is queried by finding its ground states n and then the facets of the
+ ground state polytope P(n) create the basis. Thus, this basis becomes extended as the slack variable in the underlying
+ capacitance simulation is increased. This is called the core state set.
+ Additionally, the simulation allows to add additional states. For example, for most sensor simulations to work, we also need
+ other higher energy states to compute correct conductance. These additional states can be added by modifying the vector
+ num_additional_neighbours. if the ith element in this vector is R>0, and s is a state in the core basis, then
+ the extended basis will also include the states :math:`s+ke_i` where :math:`|k|<=R` and :math:`e_i` is the ith basis vector.
+
+ The tunnel couplings T are included into the Hamiltonian the following way: let :math:`s_i` and :math:`s_j` be two states in the basis of the Hamiltonian
+ that differ only in the value of the electron configuration at dots i and j.
+ More exactly, we have that :math:`s_i` and :math:`s_j` are related by moving an electron from state :math:`s_i` to :math:`s_j` or vice versa.
+ Let :math:`H_{kl}` be the off-diagonal matrix element of those states. Then we have :math:`H_{kl} = T_{ij}`.
+ In all other cases, tunnel coupling is 0.
+
+ The mixed state is then again computed approximately, for more info on that, see documentation of LocalSystem.
+
+ The sensor signal of the computed mixed state is computed via the sensor_sim.
+
+ Attributes
+ ----------
+
+ beta: float
+ Scaled inverse temperature 1/k_BT
+ T: float
+ Temperature
+ poly_sim:
+ the capacitive simulation object
+ barrier_sim:
+ the barrier simulation object. Note that even if the supplied object to init was a matrix, this will be a TunnelBarrierModel.
+ sensor_sim:
+ the sensor simulation object
+ num_additional_neighbours: np.array of ints
+ for each dot defines how many additional states should be added for each state in the core basis. This is done
+ by adding or subtracting electrons on the ith element where the maximum is given by the ith element of num_additional_neighbours.
+ We advise to set this to 2 for sensor dots. Note that computation time can quickly explode when increasing this parameter.
+ Outside of sensor dots, we advise therefore to increase the slack in the capacitive simulation.
+ """
+ def __init__ (self, polytope_sim, barrier_sim, T, sensor_sim):
+ """ Creates a tunneling simulation
+
+ Parameters
+ ----------
+ polytope_sim:
+ capacitance simulator object that computes ground state polytopes and capacitive energy differences
+ barrier_sim: Object or Matrix
+ Either a DxD basis that describes a constant tunnel coupling between all D dots. Note that the diagonal of this matrix is zero.
+ Alternatively an object with a method barrier_sim.get_tunnel_matrix(v) returning a DxD matrix, and which supports the slice operation.
+ T: float
+ Temperature in Kelvin. Good values are < 0.1
+ sensor_sim: Derived from AbstractSensorSim
+ A sensor simulation that follows the interface of AbstractSensorSim and which computes the sensor signal.
+ """
+ self.poly_sim = polytope_sim
+ #compatibility to earlier code that uses matrices
+ if isinstance(barrier_sim, np.ndarray):
+ self.barrier_sim = TunnelBarrierModel(np.log(barrier_sim+1.e-20))
+ else:
+ self.barrier_sim = barrier_sim
+ eV = 1.602e-19
+ kB = 1.380649e-23/eV
+ self.beta=1.0/(kB*T)
+ self.T = T
+ self.sensor_sim = sensor_sim
+
+ #clean up potentially stored conflicting data
+ for poly in self.poly_sim.cached_polytopes():
+ poly.additional_info.pop("features_out_info",None)
+
+ self.num_additional_neighbours=np.zeros(self.poly_sim.num_dots, dtype=int)
+
+ super().__init__(self.poly_sim.num_dots, self.poly_sim.num_inputs)
+
+ def slice(self, P, m, proxy=False):
+ """ Restricts the simulator to the affine subspace v=m+Pv'
+
+ Computes the slice through the simulated device by setting v=m+Pv', where v is the plunger gate voltages of the
+ original device and v' is the new coordinate system. This is implemented here by slicing all the different parts
+ of the simulation, capacitance model, barrier model and sensor model.
+
+ Parameters
+ ----------
+ P : MxK np.array of floats
+ The linear coefficient matrix. Here M is the number of voltage elements in v in the full simulation
+ and K the dimensionality of the subspace.
+ m: offset of the affine trnsformation.
+ proxy: bool
+ Whether a proxy is returned. A proxy shares the cache, if possible. This is the case when P is invertible,
+ especially this entails M=K. If cache sharing is possible, the simulation computes the original polytope and then
+ applies the affine transformation. This can reduce run time a lot if several slices need to be computed for the
+ same simulation.
+
+ Returns
+ -------
+ A simulator object describing the simulation on the affine subspace. The current simulation object remains unchanged.
+ """
+ sliced_poly_sim = self.poly_sim.slice(P,m, proxy)
+ sliced_barrier_sim = self.barrier_sim.slice(P, m)
+ sliced_sensor_sim = self.sensor_sim.slice(P,m)
+ sliced_tunneling_sim = ApproximateTunnelingSimulator(sliced_poly_sim, sliced_barrier_sim, self.T, sliced_sensor_sim)
+ sliced_tunneling_sim.num_additional_neighbours = self.num_additional_neighbours.copy()
+ return sliced_tunneling_sim
+
+ def _compute_tunneling_op(self, state_list):
+ """Computes the mapping between tunnel coupling and hamiltonian off diagonal elements
+ and also also computes a multiplicative weight for each tunnel coupling based on the number
+ of affected electrons during the state transitions.
+
+ We currently only add tunnel coupling between two states n,m if they describe the transition of a single
+ electron between two dots i and j. In this case the tunnel coupling is w*T_ij where w=1 if the
+ total number of electrons on dots i and j is odd, otherwise w=sqrt(2).
+ Parameters
+ ----------
+ state_list: list of vectors of ints
+ The list of states that describe a subset of the fokh basis of the Hamiltonian.
+
+ Returns
+ -------
+ TOp: a mapping TOP(n,m)=i*num_dots+j, the index in the flattened matrix of tunnel couplings
+ TOpW: weight matrix W(n,m).
+
+ """
+ N = state_list.shape[0]
+ n_dots = state_list.shape[1]
+ TOp = np.zeros((N,N),dtype=int)
+ TOpW = np.ones((N,N))
+
+ sums = np.sum(state_list,axis=1)
+ for i,s1 in enumerate(state_list):
+ for j,s2 in zip(range(i+1, len(state_list)),state_list[i+1:]):
+ if sums[i] != sums[j]:
+ continue
+
+ if np.sum(np.abs(s1-s2)) == 0:
+ continue
+ abs_diff = np.abs(s1-s2)
+ if np.sum(abs_diff) != 2:
+ continue
+
+ #compute lookup indices in tunneling strength matrix
+ idxs = np.where(abs_diff>0)[0]
+ if len(idxs) == 1:
+ ind = idxs[0]*n_dots + idxs[0]
+ else:
+ ind = idxs[0]*n_dots + idxs[1]
+ TOp[i,j] = ind
+ TOp[j,i] = ind
+
+
+ #compute weight. If the total number of electrons on the affected dots
+ #is even, the tunneling strength is multiplied by sqrt(2)
+ pos_changes = (s1 != s2)
+ num_electrons_affected = np.sum(pos_changes*s1)
+ if num_electrons_affected % 2 == 0:
+ TOpW[i,j] = np.sqrt(2)
+ TOpW[j,i] = TOpW[i,j]
+ return TOp, TOpW
+
+ def _create_state_list(self, state, direct_neighbours):
+ """ Creates the extended basis
+ """
+ state_list = np.vstack([direct_neighbours, [np.zeros(len(state),dtype=int)]])
+
+ additional_states = []
+ for i in range(self.poly_sim.num_dots):
+ e_i = np.eye(1, self.poly_sim.num_dots, i,dtype=int)
+ for k in range(1,1+self.num_additional_neighbours[i]):
+ additional_states.append(state_list+k*e_i)
+ additional_states.append(state_list-k*e_i)
+
+ if len(additional_states) > 0:
+ for add in additional_states:
+ state_list = np.vstack([state_list,add])
+ state_list = np.unique(state_list, axis=0)
+ state_list += state[None,:]
+ state_list = state_list[np.all(state_list>=0,axis=1)]
+
+ #mark the subset of original polytope transitions + the current state
+
+ core_index_set = [int(find_label(state_list,state)[0])]
+ for core_transition in direct_neighbours:
+ core_index_set.append(int(find_label(state_list,core_transition+state)[0]))
+ return state_list, np.array(core_index_set,dtype=int)
+ def boundaries(self, state):
+ """
+ Returns the polytope P(n) of a given state n with all its boundaries, labels and meta information.
+
+ If the polytope is not cached, it needs to be computed. This can take some time for large devices.
+
+ Parameters
+ ----------
+ state: list of ints
+ The state n for which to compute the polytope P(n)
+
+ Returns
+ -------
+ The polytope P(n)
+ """
+ state = np.asarray(state)
+ polytope = self.poly_sim.boundaries(state)
+ #cache features_out info in polytope structure
+ if not "extended_polytope" in polytope.additional_info.keys():
+ #create a list of all neighbour states of interest for use in the Hamiltonian
+ state_list,polytope_base_indx = self._create_state_list(state, polytope.labels)
+
+
+ #create full set of transition equations
+ A,b = self.poly_sim.compute_transition_equations(state_list, state)
+
+ TOp,TOpW = self._compute_tunneling_op(state_list)
+ extended_polytope = status=type('',(object,),{})()
+ extended_polytope.A = A
+ extended_polytope.b = b
+ extended_polytope.TOp = TOp
+ extended_polytope.TOpW = TOpW
+ extended_polytope.labels = state_list
+ extended_polytope.core_basis_indices = polytope_base_indx
+ polytope.additional_info["extended_polytope"] = extended_polytope
+
+ #also compute the sensor info
+ polytope.additional_info['sensor_state'] = self.sensor_sim.precompute_sensor_state(state, A, b, state_list)
+ return polytope
+ def _create_hamiltonian(self, v, A, b, TOp,TOpW):
+ """ Computes the hamiltonian at the given gate voltages
+ """
+ tunnel_matrix = self.barrier_sim.get_tunnel_matrix(v)
+ N = A.shape[0]
+ energy_diff = -(A@v+b)
+ diags = np.sort(energy_diff)
+ if tunnel_matrix is None:
+ return np.diag(energy_diff)
+ else:
+ t_term = ((tunnel_matrix.reshape(-1)[TOp.reshape(-1)]).reshape(N,N))*TOpW
+ return np.diag(energy_diff)-t_term
+
+
+ def get_displacement(self, H, dH):
+ """ Computes the displacement of the ground state"""
+ ind0 = np.argsort(np.diag(H))[:2]
+ tc = H[ind0[0],ind0[1]]
+ eps = H[ind0[0],ind0[0]] - H[ind0[1],ind0[1]]
+
+ dind0 = np.argsort(np.diag(dH))[:2]
+ dtc = dH[dind0[0],dind0[1]]
+ deps = dH[dind0[0],dind0[0]] - dH[dind0[1],dind0[1]]
+
+ return deps/np.sqrt(dtc**2 + deps**2) - eps/np.sqrt(tc**2 + eps**2)
+
+ def compute_local_system(self, v, state, search_ground_state = True):
+ """ Computes a full description of the local quantum system and returns the LocalSystem object.
+
+ This is a full locla simulation of the device and can be used to query sensor values but also the mixed state matrix.
+ See LocalSystem for more info.
+
+ Note that unlike in most other places, v does not need to belong to the ground state polytope of state.
+ This might be useful for the computation of signals in which the device is far out of equilibrium.
+
+ Parameters
+ ----------
+ v: np.array of floats
+ The vector of gate voltages of the device
+ state: np.array of ints
+ The ground state polytope relative to which the local system is computed. This is in most cases the ground state.
+ search_ground_state: bool
+ If True, verifies that state is the ground state of v and searches it otherwise. If you know that this is the case,
+ you can safely set it to False for a speed-up. In the general case, setting this to false will compute the
+ LocalSystem relative to a different basis state.
+ """
+ if search_ground_state:
+ state = self.poly_sim.find_state_of_voltage(v, state_hint = state)
+ polytope = self.boundaries(state)
+ extended_polytope = polytope.additional_info['extended_polytope']
+ H = self._create_hamiltonian(v, extended_polytope.A, extended_polytope.b, extended_polytope.TOp, extended_polytope.TOpW)
+ system = LocalSystem(v, H, state, self)
+ return system
+
+
+ def sensor_scan(self, v_start, v_end, resolution, v_start_state_hint, cache=True, start_new_measurement=True, insitu_axis = None):
+ """ Computes a 1D sensor ramp scan.
+
+ Computes a linear set of points between v_start and v_end and for each point computes the sensor signal.
+ To be more exact, for each point, the ground state polytope is computed which is then used to define the local_system.
+ Returns the sensor signal for each sensor and dot
+
+ Parameters
+ ----------
+ v_start: np.array of floats
+ Vector of gate voltages of the device describing the first measurement point
+ v_end: np.array of floats
+ Vector of gate voltages of the device describing the last measurement point
+ resolution: int
+ number of measured points on the linear scan between v_start and v_end, including both end points.
+ v_start_state_hint: np.array of int
+ Guess for the state n for which holds that v_start is element of P(n). The simulator will use this
+ guess as a starting point for the search of the correct state if this guess is wrong. Note that P(n)
+ must intersect with the affine slice, if slicing was used.
+ cache: bool
+ Whether the simulation should try to cache the computed polytopes. This might lead to a slower computation time
+ for a scan compared to not using caching, but consecutive scans with similar ranges tend to be quicker.
+ start_new_measurement: bool
+ Whether the seimulated sensor measurement should be independent of any previous measurements.
+ insitu_axis: list or None
+ The axis along which the modulated signal is applied, insitu_axis @ plane_axes. If none, the code uses standard sensor dot approach. If a list it computes changes in quantum capacitance
+ """
+ #prepare start state
+ state = self.poly_sim.find_state_of_voltage(v_start, state_hint = v_start_state_hint)
+
+ P=(v_end - v_start).reshape(-1,1)
+ if cache:
+ sim_slice = self.slice(P, v_start, proxy=cache)
+ else:
+ sim_slice = self
+
+ if start_new_measurement:
+ sim_slice.sensor_sim.start_measurement()
+
+ if insitu_axis is None:
+ values = np.zeros((resolution, self.sensor_sim.num_sensors))
+ else:
+ values = np.zeros((resolution,1))
+ for i,v0 in enumerate(np.linspace([0.0],[1.0], resolution)):
+ if cache:
+ v = v0
+ else:
+ v = v_start + P@v0
+ if not sim_slice.poly_sim.inside_state(v, state):
+ state = sim_slice.poly_sim.find_state_of_voltage(v,state_hint=state)
+
+ system = sim_slice.compute_local_system(v, state, search_ground_state = False)
+ if insitu_axis is None:
+ values[i] = system.sample_sensor_equilibrium()
+ else:
+ # inisitu reflecometry
+ dv = 0.0001
+ system2 = sim_slice.compute_local_system(np.array(v)+dv*np.array(insitu_axis), state, search_ground_state = False)
+ a = sim_slice.get_displacement(system.H, system2.H)
+ values[i] = a
+ return values
+
+ def sensor_scan_2D(self, P, m, minV, maxV, resolution, state_hint_lower_left,cache=True, insitu_axis = None):
+ """ Computes the sensor signal on a 2D grid of points.
+
+ For the exact computation of points, see sensor_scan.
+
+ The grid is defined the following way: Let w_ij be a 2D vector that is part of a regular
+ rectangular grid spanned by the lower left corner given by minV and the upper right corner given
+ by maxV and let (m,n) be the number of points in both grid directions. We have that w_00=minV and w_m-1,n-1=maxV.
+
+ This grid is then affinely transformed into the K-dimensional space of gate vectors via
+ v_ij = m+ P w_ij
+
+ and thus P must be a Kx2 matrix and m a K-vector.
+
+ Parameters
+ ----------
+ P: Kx2 np.array of floats
+ linear transformation of grid-points into the K-dimensional voltage space
+ m: np.array of floats:
+ affine offset of the grid
+ minV: np.array of floats
+ 2D vector describing the minimum value of the grid points
+ maxV: np.array of floats
+ 2D vector describing the maximum value of the grid points
+ resolution: int or list of ints
+ if integer, describes the same number of points in both grid directions. If a list of 2 elements,
+ describes the number of points along each axes of the grid.
+ state_hint_lower_left: np.array of int
+ Guess for the state n for point described by the grid position minV. The simulator will use this
+ guess as a starting point for the search of the correct state if this guess is wrong. Note that P(n)
+ must intersect with the affine slice, if slicing was used.
+ cache: bool
+ Whether the simulation should try to cache the computed polytopes. This might lead to a slower computation time
+ for a scan compared to not using caching, but consecutive scans with similar ranges tend to be quicker.
+ insitu_axis: list or None
+ The axis along which the modulated signal is applied. If none, the code uses standard sensor dot approach. If a list it computes changes in quantum capacitance.
+ """
+ if P.shape[1] != 2:
+ raise ValueError("P must have two columns")
+ if isinstance(resolution, int):
+ resolution = [resolution, resolution]
+
+ #obtain initial guess for state
+ line_start = self.poly_sim.find_state_of_voltage(m+P@minV, state_hint = state_hint_lower_left)
+
+
+ #now slice down to 2D for efficiency
+ sim_slice = self.slice(P, m, proxy=cache)
+ if insitu_axis is None:
+ sim_slice.sensor_sim.start_measurement()
+ values=np.zeros((resolution[0],resolution[1], self.sensor_sim.num_sensors))
+
+
+ else:
+ values=np.zeros((resolution[0],resolution[1],1))
+
+
+
+ for i,v2 in enumerate(np.linspace(minV[1],maxV[1],resolution[1])):
+ v_start = np.array([minV[0],v2])
+ v_end = np.array([maxV[0],v2])
+ line_start = sim_slice.poly_sim.find_state_of_voltage(v_start, state_hint = line_start)
+ values[i] = sim_slice.sensor_scan(v_start, v_end, resolution[0], line_start, cache=False, start_new_measurement=False, insitu_axis=insitu_axis) #changed cache to False?
+ return values
+
+
+
diff --git a/QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/src/qdarts/util_functions.py b/QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/src/qdarts/util_functions.py
new file mode 100644
index 0000000..6de8527
--- /dev/null
+++ b/QDarts-0781fb4eb93ceb8e37e27f4c6c2a8a2afbeade8c/src/qdarts/util_functions.py
@@ -0,0 +1,472 @@
+import cvxpy as cp
+import numpy as np
+from scipy.spatial import HalfspaceIntersection
+
+def is_invertible_matrix(A,max_cond=1.e8):
+ """ Returns true if A is an invertible matrix.
+
+ Parameters
+ ----------
+ max_cond: float
+ conditioning of A (fraction of maximum and minimum absolute eigenvalue) above which
+ it is assumed that A is numerically rank-deficient.
+ """
+ if A.shape[0] != A.shape[1]:
+ return False
+ else:
+ return np.linalg.cond(A)<max_cond
+def solve_linear_problem(prob):
+ """Internal helper function to solve supplied linear cvxpy problems"""
+ try:
+ prob.solve(verbose=False, solver=cp.CLARABEL, max_iter=100000)
+ except cp.SolverError:
+ prob.solve(solver=cp.GLPK)
+
+
+def _compute_polytope_slacks_1D(A,b):
+ """Special case called by compute_polytope_slacks when A has a single column"""
+ w=A.reshape(-1)
+ close_to_zero = (np.abs(w)<1.e-6*np.max(w))
+ #compute the single point fulfilling the constraint
+ x=-b/(w+close_to_zero*1.e-6*np.max(w))
+
+ #check whether the constraint is a lower or upper bound
+ is_lower = (w < 0)
+ #count the constraints for checking whether we have both lower and upper bounds
+ num_lower = np.sum(is_lower)
+
+ #now find the lower and upper bounds of the interval that fulfill all constraints
+ if num_lower > 0:
+ lower_x = np.max(x[is_lower])
+ else:
+ lower_x = -np.inf
+ if num_lower < len(A):
+ upper_x = np.min(x[~is_lower])
+ else:
+ upper_x = np.inf
+ #handling of infeasibility
+ #since the slacks are defined as smallest violation of the constraints,
+ #if the polytope is infeasible, the slack for the lower bound constraints
+ #must be computed based on the upper bound and vice versa
+ if lower_x> upper_x:
+ temp = lower_x
+ lower_x = upper_x
+ upper_x = temp
+
+ #compute slacks:
+ slacks_lower = -(is_lower*(w*lower_x+b))
+ slacks_upper = -((~is_lower)*(w*upper_x+b))
+
+ slacks = slacks_lower + slacks_upper
+ return slacks
+
+
+def _compute_polytope_slacks_2D(A,b, bounds_A, bounds_b):
+ """Special case in 2D solved via halfspace intersection"""
+
+ #first we use halfspace intersection to compute all corners of the final polytope
+ #find a point fulfilling all constraints
+ feasible_point, _ = compute_maximum_inscribed_circle(A, b, bounds_A, bounds_b)
+ #bring all constraints together in matrix form
+ halfspaces_poly = np.concatenate([A,b.reshape(-1,1)],axis=1)
+ halfspaces_bounds = np.concatenate([bounds_A,bounds_b.reshape(-1,1)],axis=1)
+ halfspaces = np.concatenate([halfspaces_poly,halfspaces_bounds],axis=0)
+ hs = HalfspaceIntersection(halfspaces, feasible_point)
+ intersections = hs.intersections
+
+ #now compute slacks. since the slack is computed as the solution of a linear programming problem,
+ #the solution must lie on one of the vertices.
+ slacks_intersections = A@(intersections.T)+b.reshape(-1,1)
+
+ min_slacks = np.min(-slacks_intersections,axis=1)
+ slacks = np.maximum(min_slacks, np.zeros(min_slacks.shape))
+
+ return slacks
+
+
+def compute_polytope_slacks(A, b, bounds_A, bounds_b, maximum_slack):
+ """Computes the slacks of each candidate transition of a ground state polytope.
+
+ The polytope is given by all points x, such that :math:`Ax+b<0`. There might be boundaries
+ such that for no x holds that :math:`A_ix+b_i = 0`. In this case the definition of the polytope is
+ the same when it is removed. However, sometimes we are interested in keeping transitions that
+ are near misses - i.e., there exists an x such that, the inequality is almost fulfilled.
+ In this case, we can relax this by allowing a positive slack and
+ accept transitions to still be relevant for the polytope when we find an x, such that
+
+ :math:`A_ix+b_i <= s`
+
+ if this inequality holds exactly with slack :math:`s=0`, we say that the ith transition touches
+ the polytope and the larger slack is, the more distant is the polytope
+
+ Computing the slack can be difficult in the presence of unbounded polytopes. For this reason additional linear bound
+ constraints need to be provided that ensure that all polytopes are bounded.
+
+ The function computes the minimum slack for all transitions in :math:`A_i` and :math:`b_i`.
+ The default slack is needed if for some reason it is not possible to compute the slack due to numerical
+ difficulties.
+
+ Parameters
+ ----------
+ A: NxK np.array of floats
+ The linear coefficients of the N affine linear equations in K dimensions
+ b: N np.array of floats
+ The constant offsets of the N affine linear equations
+ bounds_A: N'xK np.array of floats
+ The linear coefficients of N' additional constraint that ensure that polytopes are bounded.
+ bounds_b: N' np.array of floats
+ The constant offsets of the N' bounds
+ maximum_slack: float
+ Value for the maximum acceptable slack for transitions to be considered near the polytope.
+ TODO: review whether this parameter is needed.
+ """
+
+ #to find whether an equation a^Tx+b<= 0 touches the polytope, we need to find
+ #a point that is on the intersection between polytope and the line where
+ #a^Tx+b=0. For this we systematiclly go throuh the full list of
+ #equations and for each solve an LP with this goal. if an equation
+ # is found not to touch the polytope it is removed from the list
+ # of candidates for all future solves.
+
+ #we slightly generalize this problem by weakening the equation via
+ # a slack variable
+ #a^Tx+b = eps
+ #eps > 0
+ #and minimize for eps.
+ #if eps = 0, then the equation touches the polytope. If not, then
+ #it can be removed. this allows us to introduce a maximum slack value
+ #which allows us to keep close matches for later stages in the simulation, e.g., to keep
+ # neighbours that are possibly relevant for tunneling equations. Note: for eps>0 this formulation
+ # produces the x value in the polytope closest to the equation in function value a^Tx+b.
+
+ #we return the vector of eps values for all equations so that the user can filter transitions afterwards
+
+ #first special cases.
+ #only one constraint? feasible qwith slack 0
+ if len(b) == 1:
+ return np.zeros(1)
+
+ #1D and 2D problems can be solved efficiently
+ if A.shape[1] == 1:
+ return _compute_polytope_slacks_1D(A,b)
+ if A.shape[1] == 0:
+ return _compute_polytope_slacks_2D(A,b, bounds_A, bounds_b)
+
+
+ #now we know there is a polyope and we can compute its sides
+ N = len(A)
+ touching = np.ones(N, dtype=bool) #equations with eps~=0. At the beginning we assume all are touching
+ slacks = (maximum_slack + 1)*np.ones(N) #slack value (updated when equation is computed)
+ for k in range(N):
+ # take all previous tested and verified touching eqs and all untested eqs, except the current
+ touching[k] = False
+ Ak = A[touching,:]
+ bk = b[touching]
+
+
+ #the current equation to test
+ A_eq = A[k]
+ b_eq = b[k]
+
+ #setup optimisation problem
+ x = cp.Variable(A.shape[1])
+ eps = cp.Variable()
+ prob = cp.Problem(cp.Minimize(eps),
+ [A_eq @ x + b_eq + eps == 0, Ak@ x + bk <= 0, eps >= 0])
+ solve_linear_problem(prob)
+ if prob.status not in ["infeasible", "infeasible_inaccurate"]:
+ slacks[k] = eps.value
+ if eps.value < 1.e-6:
+ touching[k] = True
+ return slacks
+
+def compute_maximum_inscribed_circle(A, b, bounds_A, bounds_b):
+ """Computes the maximum inscribed circle in a polytope intersected with a set of linear inequalities.
+
+ The maximum inscribed circle is a crude measure for position and size of a polytope.
+ It computes the circle with maximum radius r and midpoint m, such that all its points
+ lie inside the polytope. The function returns the (m,r) maximizing this. This choice is very often not unique.
+
+ Since the polytope given by linear equations A,b might be unbounded, the function takes another
+ set of linear equations for establishing lower and upper bounds. In essence, this is the same as
+ adding the additional equalities to A and b and computing the maximum inscribed circle for that polytope.
+
+
+
+ Parameters
+ ----------
+ A: NxK np.array of floats
+ The linear coefficients of the N affine linear equations in the K-dimensional polytope
+ b: N np.array of floats
+ The constant offsets of the N affine linear equations of the polytope
+ bounds_A: MxK np.array of floats
+ The linear coefficients of the M added linear inequality constraints
+ bounds_b: M np.array of floats
+ The constant offsets of the M added linear inequality constraints
+ """
+ if len(A)==0:
+ return None, 0.0
+
+ norm_A = np.linalg.norm(A, axis=1)
+ norm_bounds = np.linalg.norm(bounds_A, axis=1)
+
+ r = cp.Variable()
+ v = cp.Variable(A.shape[1])
+ constraints = [
+ A @ v + b + r * norm_A <= 0, #linear boundaries are only allowed to intersect the sphere once
+ bounds_A @ v + bounds_b + norm_bounds*r <= 0, #also stay away from bound constraints
+ r >=0 # Radius is strictly positive
+ ]
+ prob = cp.Problem(cp.Maximize(r), constraints)
+ solve_linear_problem(prob)
+ return v.value, r.value
+
+def find_label(labels, label):
+ """helper function that finds the position of a state in a matrix of states"""
+ dist = np.sum(np.abs(labels-np.array(label)),axis=1)
+ return np.where(dist<1.e-5)[0]
+
+def find_point_on_transitions(polytope, indizes):
+ """Finds a point on a facet (or intersection point of multiple facets) of a polytope
+
+ Given a precomputed polytope with facets (A,b) and their slacks,
+ computes a point where a set of facet inequalities are exactly equal.
+ Among all points that fulfill this, we pick the mid point defined
+ by the maximum inscribed circle on the facet (or the subfacet
+ created by the intersection of facets).
+
+ TODO: it is not quite clear what happens when the indizes are not touching.
+
+ Parameters
+ ----------
+
+ polytope: A polytope object
+ The polytope for which the intersections are computed
+ indices: list of int
+ The subset of facets for which a common point is to be found.
+ note that it is quietly assumed that the facets are touching the polytope.
+ """
+ slacks = np.delete(polytope.slacks, indizes)
+ A = np.delete(polytope.A, indizes,axis=0)
+ b = np.delete(polytope.b, indizes)
+ A = A[slacks<1.e-8]
+ b = b[slacks<1.e-8]
+ A_eq = polytope.A[indizes,:]
+
+ b_eq = polytope.b[indizes]
+
+ norms = np.linalg.norm(A,axis=1)
+
+ eps = cp.Variable()
+ x = cp.Variable(A.shape[1])
+ prob = cp.Problem(cp.Maximize(eps),
+ [A @ x + b+norms*eps <=0, A_eq@x+b_eq == 0,eps >= 0])
+ solve_linear_problem(prob)
+ return x.value
+
+def fix_gates(simulator, gate_ids, gate_values, proxy=False):
+ """Fixes a number of gate voltages in the simulator object
+
+ Returns a new simulation where the values of the given gates are fixed to a constant.
+ This is done by computing the apropriate parameters for slice, and therefore the
+ operation can not be undone in the returned simulation.
+
+ Please keep in mind that by doing this, all indices of gate voltages at entries
+ after the deleted entries change, i.e., in a device with 4 plungers, removing the
+ third plungers will lead to a simulator with 3 plungers where the last plunger has
+ index 3. It is therefore advisable to order parameters such that fix_gates is always
+ applied to the end.
+
+ Parameters
+ ----------
+ simulator: AbstractPolytopeSimulator
+ The simulator object for which gates are to be fixed
+ gate_ids: list of int
+ The indices of the gates in the voltage vector
+ gate_values: np.array of float
+ The values of the fixed gates
+ proxy: bool
+ whether or not the returned simulator should be a proxy, i.e., share cache if possible
+ Todo: is this ever possible?
+ """
+ v = np.zeros(simulator.num_inputs)
+ v[gate_ids] = gate_values
+
+ P=np.zeros((simulator.num_inputs,simulator.num_inputs-len(gate_ids)))
+ pos = 0
+ for i in range(simulator.num_inputs):
+ if i not in gate_ids:
+ P[i,pos] = 1
+ pos += 1
+ return simulator.slice(P, v, proxy)
+
+def axis_align_transitions(simulator, target_state, transitions, compensation_gates,proxy=True):
+ """Transform the simulators coordinate system such that transitions are aligned with coordinate axes
+
+ Takes a set of transitions from a target state and a set of gate indices of same length.
+ Computes a linear transformation such, that the normal of the ith transition is parallel to the ith gate axis supplied as
+ argument.
+
+ For example, to align the transition from state [1,1,1] to [1,1,2] with the first plunger gate, we set
+ target_state=[1,1,1], transitions=[[1,0,0]] and compensation_gates=[0]
+
+ Parameters
+ ----------
+ simulator: AbstractPolytopeSimulator
+ The simulator object which is to be transformed
+ target_state: list of int
+ The state from which the transitions are extracted
+ transitions: NxD np.array of int
+ The set of N transitions (given as D-dimensional difference vectors state-target_state) to align
+ compensation_gates: list of int
+ The indices of the plunger gates that should be transformed to align with the transition normals
+ proxy: bool
+ whether or not the returned simulator should be a proxy, i.e., share cache if possible
+ """
+ compensation_gates = np.array(compensation_gates, dtype=int)
+ #get the polytope of the target state
+ polytope = simulator.boundaries(target_state)
+
+ #find the transitions inside the polytope
+ transition_idxs = []
+ for transition in transitions:
+ idx = find_label(polytope.labels, transition)[0]
+ transition_idxs.append(idx)
+
+ #get normals of the transitions
+ normals = -polytope.A[transition_idxs,:]
+ #normalize to ensure that we do not change the spacing of transitions
+ normals /= np.linalg.norm(normals,axis=1)[:,None]
+
+ #compute compensation matrix
+ B = normals[:,compensation_gates]
+ compensation = -B.T@np.linalg.inv(B@B.T)
+
+ #compute coordinate transform
+ P=np.eye(simulator.num_inputs)
+
+ #get the indizes of the elements in the submatrix of the compensation parameters
+ P_sub_ids = simulator.num_inputs * compensation_gates[:,None] + compensation_gates[None,:]
+ np.put(P,P_sub_ids, compensation.flatten())
+
+ return simulator.slice(P,np.zeros(simulator.num_inputs), proxy=proxy)
+
+def compensate_simulator_sensors(simulator, target_state, compensation_gates, sensor_ids, sensor_detunings, sensor_slope_detuning=0.0):
+ """Transforms the simulation to compensate the sensors against all other gates.
+
+ This function allows for perfect or imperfect sensor compensation as well as the exact position on the sensor peak.
+ This is done by finding the compensation values of the sensor plunger gates to compensate for the linear cross-talk of all other
+ plungers. This compensation is computed for a given target state as the compensation parameters might depend on the capacitances
+ in the state if they are variable.
+
+ The position on the sensor peak is given by sensor_detunings which move the position as a direct modification of the sensor potential.
+
+ Parameters
+ ----------
+ simulator: AbstractPolytopeSimulator
+ The simulator object which is to be transformed
+ target_state: list of int
+ The state from which the transitions are extracted
+ compensation_gates: list of int
+ The gates to be used for compensation of the sensor. Typically the sensor plunger gates in the device
+ sensor_ids: list of int
+ The indices of the sensor ids.
+ sensor_detunings: np.array of float
+ detuning parameter for each sensor which allows to move the sensor on a pre-specified point of the peak.
+ sensor_slope_detuning: float
+ (Experimental) scaling factor that moves the compensation linearly from perfect compensation (0) to no compensation (1).
+
+ Returns
+ -------
+ sliced_sim: the sliced simulation that is created from the computed compensation parameters
+ compensation_transform: a linear function that for any point v in the original coordinate system finds the point with the compensation applied in the new coordinate system
+ tuning_point: a vector of gate voltages that indicates the exact compensation point of the simulation
+ """
+ if len(sensor_ids) != len(compensation_gates):
+ raise ValueError('Number of gates for compensation must equal number of sensors')
+
+ if len(sensor_ids) != len(sensor_detunings):
+ raise ValueError('Number of gates for compensation must equal number of sensors')
+
+ for sensor in sensor_ids:
+ if target_state[sensor] <= 0:
+ raise ValueError('Target state must have at least one electron on each sensor dot')
+
+ compensation_gates = np.array(compensation_gates,dtype=int)
+ other_gates = np.delete(np.arange(simulator.num_inputs),compensation_gates)
+ sensor_detunings = np.array(sensor_detunings)
+
+
+ # by default we assume that for the sensor dots,
+ # we compute the transition between dots K and K+1
+ # where K is the electron occupation on the target state,
+ # which means that we take the polytope at the target state
+ # and compute the transition for the electron K->K+1 on the sensor dot.
+ # However, we will change the computed polytope based
+ # on the sensor detuning. if it is positive, we will instead compute
+ # the polytope for the K+1 electron and then search for the transition K+1->K
+
+
+ target_state = target_state.copy()
+ transitions = []
+ detunings = []
+ for detuning, sens_id in zip(sensor_detunings, sensor_ids):
+ if detuning > 0:
+
+ transitions.append(-np.eye(1,simulator.num_dots,sens_id))
+ detunings.append(-detuning)
+ else:
+ target_state[sens_id] -= 1
+ transitions.append(np.eye(1,simulator.num_dots,sens_id))
+ detunings.append(detuning)
+
+ #get geometry of the target state to compensate for
+ polytope = simulator.boundaries(target_state)
+
+
+ #find the sensor transitions inside the polytope
+ transition_idxs = []
+ for transition in transitions:
+ idx = find_label(polytope.labels, transition)[0]
+ transition_idxs.append(idx)
+
+ #get normals of sensor transitions
+ normals = polytope.A[transition_idxs,:]
+ #compute point on the intersection of the transition
+ v = find_point_on_transitions(polytope, transition_idxs)
+ #apply sensor detunings. First compute virtual gates for the
+ #two sensor voltages
+ comp_det = normals.T@ np.linalg.inv(normals @ normals.T)
+ #now use the compensation to define sensor detunings
+ v_detuning = comp_det @ sensor_detunings
+ v_detuned = v - v_detuning #use detuning to move the point away from the transition
+
+
+
+ #compute compensation matrix
+ normals /= np.linalg.norm(normals,axis=1)[:,None]
+ A1 = normals[:,compensation_gates]
+ A2 = normals[:,other_gates]
+ compensation = -np.linalg.inv(A1)@A2
+
+
+ #now create the P-matrix
+ P=np.eye(simulator.num_inputs)
+ #get the indizes of the elements in the submatrix of the compensation parameters
+ P_sub_ids = simulator.num_inputs * compensation_gates[:,None] + other_gates[None,:]
+ np.put(P,P_sub_ids, compensation.flatten())
+
+ #add errors to P-matrix
+ P = (1-sensor_slope_detuning)*P+sensor_slope_detuning*np.eye(simulator.num_inputs)
+
+ #If we compensate now with v as central point, our gates would compute
+ #relative voltages to this (arbitrary) point. Tis would make it impossible
+ #to plot the same region with different compensation points
+ #instead, we will now take v and move it such, that the other gates are 0.
+ v_zero = v_detuned - P[:,other_gates]@v_detuned[other_gates]
+
+ P_inv = np.linalg.inv(P)
+ def compensation_transform(v):
+ #find the linear transformation such, that v is mapped on v_detuned
+ return P_inv@(v-v_zero-v_detuning)
+ return simulator.slice(P, v_zero,True), compensation_transform, compensation_transform(v)
--
GitLab