diff --git a/docker_build.sh b/docker_build.sh
index 635b2c8..776e2d9 100755
--- a/docker_build.sh
+++ b/docker_build.sh
@@ -1 +1 @@
-sudo docker build -t tempest_in_action .
+sudo docker build -t cacm_shielding_framework .
diff --git a/docker_run_experiment.sh b/docker_run_experiment.sh
new file mode 100755
index 0000000..6207f37
--- /dev/null
+++ b/docker_run_experiment.sh
@@ -0,0 +1,22 @@
+DOCKER_IMAGE=gsw_ai_lab
+IMAGE_VERSION=latest
+CONTAINER_NAME=tempestpy_jupyter
+
+NOTEBOOK_DIR=./notebooks
+CONTAINER_NOTEBOOK_DIR=/opt/notebooks
+LOGRESULTS_DIR=./logresults
+CONTAINER_LOGRESULTS_DIR=/opt/logresults
+MINIGRID_DIR=./notebooks/environments/Minigrid
+CONTAINER_MINIGRID_DIR=/opt/Minigrid
+
+sudo docker run \
+--name "$CONTAINER_NAME" \
+--mount "type=bind,src=$NOTEBOOK_DIR,dst=$CONTAINER_NOTEBOOK_DIR" \
+--mount "type=bind,src=$LOGRESULTS_DIR,dst=$CONTAINER_LOGRESULTS_DIR" \
+--mount "type=bind,src=$MINIGRID_DIR,dst=$CONTAINER_MINIGRID_DIR" \
+--rm \
+-p "6006:6006" \
+-p "8888:8888" \
+--shm-size=4.86gb \
+--entrypoint sh \
+"$DOCKER_IMAGE:$IMAGE_VERSION"
diff --git a/docker_run_jupyter.sh b/docker_run_jupyter.sh
index a63e847..c98466a 100755
--- a/docker_run_jupyter.sh
+++ b/docker_run_jupyter.sh
@@ -1,4 +1,4 @@
-DOCKER_IMAGE=tempest_in_action
+DOCKER_IMAGE=gsw_ai_lab
IMAGE_VERSION=latest
CONTAINER_NAME=tempestpy_jupyter
diff --git a/dockerfile b/dockerfile
index df7a3e6..51f062c 100644
--- a/dockerfile
+++ b/dockerfile
@@ -27,6 +27,7 @@ RUN cmake .. -DCMAKE_BUILD_TYPE=$build_type
# Manage python packages
WORKDIR /opt/
+RUN apt-get update --fix-missing
RUN apt-get install -y python3-venv
@@ -69,26 +70,24 @@ RUN make -j $no_threads
RUN apt-get update && apt-get install ffmpeg libsm6 libxext6 -y
WORKDIR /opt/tempestpy
-RUN pip install -U "ray[all]==2.6.3"
RUN pip install dm-tree
RUN pip install opencv-python
RUN pip install scikit-image
RUN pip install torch
RUN pip install tensorboard
RUN pip install tensorboardX
-RUN pip install gymnasium
RUN pip install tensorflow
RUN pip install jupyterlab
RUN pip install astar
RUN pip install ipywidgets
-RUN pip install numpy
RUN pip install matplotlib
RUN pip install sb3-contrib
RUN pip install opencv-python
RUN pip install moviepy
+RUN pip install gymnasium==0.29.0
+RUN pip install numpy==1.24.4
ENV M2P_BINARY=/opt/Minigrid2PRISM/build/main
+RUN apt-get install bash -y
-# We mount the Minigrid directory here manually again, to be able to have the directory hosted in the jupyter notebook
-CMD ["pip", "install", "-e", "/opt/Minigrid"]
-ENTRYPOINT ["jupyter", "lab","--ip=0.0.0.0","--allow-root", "--notebook-dir=/opt/notebooks"]
+ENTRYPOINT ["/bin/bash"]
diff --git a/notebooks/.ipynb_checkpoints/DeterministicShielding-checkpoint.ipynb b/notebooks/.ipynb_checkpoints/DeterministicShielding-checkpoint.ipynb
new file mode 100644
index 0000000..dbc6fe0
--- /dev/null
+++ b/notebooks/.ipynb_checkpoints/DeterministicShielding-checkpoint.ipynb
@@ -0,0 +1,199 @@
+{
+ "cells": [
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "## Example usage of Tempestpy"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 1,
+ "metadata": {
+ "vscode": {
+ "languageId": "plaintext"
+ }
+ },
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "pygame 2.6.1 (SDL 2.28.4, Python 3.10.12)\n",
+ "Hello from the pygame community. https://www.pygame.org/contribute.html\n"
+ ]
+ },
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ "2024-11-29 12:18:59.459471: E external/local_xla/xla/stream_executor/cuda/cuda_fft.cc:485] Unable to register cuFFT factory: Attempting to register factory for plugin cuFFT when one has already been registered\n",
+ "2024-11-29 12:18:59.474489: E external/local_xla/xla/stream_executor/cuda/cuda_dnn.cc:8454] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered\n",
+ "2024-11-29 12:18:59.478811: E external/local_xla/xla/stream_executor/cuda/cuda_blas.cc:1452] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered\n",
+ "2024-11-29 12:18:59.488641: I tensorflow/core/platform/cpu_feature_guard.cc:210] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations.\n",
+ "To enable the following instructions: AVX2 FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags.\n",
+ "2024-11-29 12:19:00.368388: W tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Could not find TensorRT\n",
+ "error: XDG_RUNTIME_DIR not set in the environment.\n"
+ ]
+ }
+ ],
+ "source": [
+ "from sb3_contrib import MaskablePPO\n",
+ "from sb3_contrib.common.wrappers import ActionMasker\n",
+ "from stable_baselines3.common.logger import Logger, CSVOutputFormat, TensorBoardOutputFormat, HumanOutputFormat\n",
+ "\n",
+ "import gymnasium as gym\n",
+ "\n",
+ "from minigrid.core.actions import Actions\n",
+ "from minigrid.core.constants import TILE_PIXELS\n",
+ "from minigrid.wrappers import RGBImgObsWrapper, ImgObsWrapper\n",
+ "\n",
+ "import tempfile, datetime, shutil\n",
+ "\n",
+ "import time\n",
+ "import os\n",
+ "\n",
+ "from utils import MiniGridShieldHandler, create_log_dir, ShieldingConfig, MiniWrapper, expname, shield_needed, shielded_evaluation, create_shield_overlay_image\n",
+ "from sb3utils import MiniGridSbShieldingWrapper, parse_sb3_arguments, ImageRecorderCallback, InfoCallback\n",
+ "\n",
+ "import os, sys\n",
+ "from copy import deepcopy\n",
+ "\n",
+ "from PIL import Image"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "metadata": {
+ "vscode": {
+ "languageId": "plaintext"
+ }
+ },
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "Starting the training\n"
+ ]
+ },
+ {
+ "data": {
+ "image/jpeg": 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",
+ "text/plain": [
+ "<PIL.Image.Image image mode=RGB size=352x288>"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "\n",
+ "\n",
+ "Computing new shield\n",
+ "LOG: Starting with explicit model creation...\n"
+ ]
+ }
+ ],
+ "source": [
+ "GRID_TO_PRISM_BINARY=os.getenv(\"M2P_BINARY\")\n",
+ "\n",
+ "def mask_fn(env: gym.Env):\n",
+ " return env.create_action_mask()\n",
+ "\n",
+ "def nomask_fn(env: gym.Env):\n",
+ " return [1.0] * 7\n",
+ "\n",
+ "def main():\n",
+ " #env = \"MiniGrid-LavaSlipperyCliff-16x13-Slip10-Time-v0\"\n",
+ " env = \"MiniGrid-WindyCity-Adv-v0\"\n",
+ "\n",
+ " formula = \"Pmax=? [G ! AgentIsOnLava]\"\n",
+ " value_for_training = 0.99\n",
+ " shield_comparison = \"absolute\"\n",
+ " shielding = ShieldingConfig.Training\n",
+ " \n",
+ " logger = Logger(\"/tmp\", output_formats=[HumanOutputFormat(sys.stdout)])\n",
+ " \n",
+ " env = gym.make(env, render_mode=\"rgb_array\")\n",
+ " image_env = RGBImgObsWrapper(env, TILE_PIXELS)\n",
+ " env = RGBImgObsWrapper(env, 8)\n",
+ " env = ImgObsWrapper(env)\n",
+ " env = MiniWrapper(env)\n",
+ "\n",
+ " \n",
+ " env.reset()\n",
+ " Image.fromarray(env.render()).show()\n",
+ " \n",
+ " shield_handlers = dict()\n",
+ " if shield_needed(shielding):\n",
+ " for value in [0.9, 0.95, 0.99, 1.0]:\n",
+ " shield_handler = MiniGridShieldHandler(GRID_TO_PRISM_BINARY, \"grid.txt\", \"grid.prism\", formula, shield_value=value, shield_comparison=shield_comparison, nocleanup=True, prism_file=None)\n",
+ " env = MiniGridSbShieldingWrapper(env, shield_handler=shield_handler, create_shield_at_reset=False)\n",
+ "\n",
+ "\n",
+ " shield_handlers[value] = shield_handler\n",
+ " if shield_needed(shielding):\n",
+ " for value in [0.9, 0.95, 0.99, 1.0]: \n",
+ " create_shield_overlay_image(image_env, shield_handlers[value].create_shield())\n",
+ " print(f\"The shield for shield_value = {value}\")\n",
+ "\n",
+ " if shielding == ShieldingConfig.Training:\n",
+ " env = MiniGridSbShieldingWrapper(env, shield_handler=shield_handlers[value_for_training], create_shield_at_reset=False)\n",
+ " env = ActionMasker(env, mask_fn)\n",
+ " print(\"Training with shield:\")\n",
+ " create_shield_overlay_image(image_env, shield_handlers[value_for_training].create_shield())\n",
+ " elif shielding == ShieldingConfig.Disabled:\n",
+ " env = ActionMasker(env, nomask_fn)\n",
+ " else:\n",
+ " assert(False) \n",
+ " model = MaskablePPO(\"CnnPolicy\", env, verbose=1, device=\"auto\")\n",
+ " model.set_logger(logger)\n",
+ " steps = 200\n",
+ "\n",
+ " assert(False)\n",
+ " model.learn(steps,callback=[InfoCallback()])\n",
+ "\n",
+ "\n",
+ "\n",
+ "if __name__ == '__main__':\n",
+ " print(\"Starting the training\")\n",
+ " main()"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "metadata": {},
+ "outputs": [],
+ "source": []
+ }
+ ],
+ "metadata": {
+ "kernelspec": {
+ "display_name": "Python 3 (ipykernel)",
+ "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": "3.10.12"
+ }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 4
+}
diff --git a/notebooks/HelloLavaGap.ipynb b/notebooks/.ipynb_checkpoints/HelloLavaGap-checkpoint.ipynb
similarity index 100%
rename from notebooks/HelloLavaGap.ipynb
rename to notebooks/.ipynb_checkpoints/HelloLavaGap-checkpoint.ipynb
diff --git a/notebooks/Playground.ipynb b/notebooks/.ipynb_checkpoints/Playground-checkpoint.ipynb
similarity index 100%
rename from notebooks/Playground.ipynb
rename to notebooks/.ipynb_checkpoints/Playground-checkpoint.ipynb
diff --git a/notebooks/.ipynb_checkpoints/ProbabilisticShielding-checkpoint.ipynb b/notebooks/.ipynb_checkpoints/ProbabilisticShielding-checkpoint.ipynb
new file mode 100644
index 0000000..89f21c7
--- /dev/null
+++ b/notebooks/.ipynb_checkpoints/ProbabilisticShielding-checkpoint.ipynb
@@ -0,0 +1,147 @@
+{
+ "cells": [
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "## Example usage of Tempestpy"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "metadata": {
+ "vscode": {
+ "languageId": "plaintext"
+ }
+ },
+ "outputs": [],
+ "source": [
+ "from sb3_contrib import MaskablePPO\n",
+ "from sb3_contrib.common.wrappers import ActionMasker\n",
+ "from stable_baselines3.common.logger import Logger, CSVOutputFormat, TensorBoardOutputFormat, HumanOutputFormat\n",
+ "\n",
+ "import gymnasium as gym\n",
+ "\n",
+ "from minigrid.core.actions import Actions\n",
+ "from minigrid.core.constants import TILE_PIXELS\n",
+ "from minigrid.wrappers import RGBImgObsWrapper, ImgObsWrapper\n",
+ "\n",
+ "import tempfile, datetime, shutil\n",
+ "\n",
+ "import time\n",
+ "import os\n",
+ "\n",
+ "from utils import MiniGridShieldHandler, create_log_dir, ShieldingConfig, MiniWrapper, expname, shield_needed, shielded_evaluation, create_shield_overlay_image\n",
+ "from sb3utils import MiniGridSbShieldingWrapper, parse_sb3_arguments, ImageRecorderCallback, InfoCallback\n",
+ "\n",
+ "import os, sys\n",
+ "from copy import deepcopy\n",
+ "\n",
+ "from PIL import Image"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "metadata": {
+ "vscode": {
+ "languageId": "plaintext"
+ }
+ },
+ "outputs": [],
+ "source": [
+ "GRID_TO_PRISM_BINARY=os.getenv(\"M2P_BINARY\")\n",
+ "\n",
+ "def mask_fn(env: gym.Env):\n",
+ " return env.create_action_mask()\n",
+ "\n",
+ "def nomask_fn(env: gym.Env):\n",
+ " return [1.0] * 7\n",
+ "\n",
+ "def main():\n",
+ " #env = \"MiniGrid-LavaSlipperyCliff-16x13-Slip10-Time-v0\"\n",
+ " env = \"MiniGrid-WindyCity2-v0\"\n",
+ "\n",
+ " formula = \"Pmax=? [G ! AgentIsOnLava]\"\n",
+ " value_for_training = 0.99\n",
+ " shield_comparison = \"absolute\"\n",
+ " shielding = ShieldingConfig.Training\n",
+ " \n",
+ " logger = Logger(\"/tmp\", output_formats=[HumanOutputFormat(sys.stdout)])\n",
+ " \n",
+ " env = gym.make(env, render_mode=\"rgb_array\")\n",
+ " image_env = RGBImgObsWrapper(env, TILE_PIXELS)\n",
+ " env = RGBImgObsWrapper(env, 8)\n",
+ " env = ImgObsWrapper(env)\n",
+ " env = MiniWrapper(env)\n",
+ "\n",
+ " \n",
+ " env.reset()\n",
+ " Image.fromarray(env.render()).show()\n",
+ " \n",
+ " shield_handlers = dict()\n",
+ " if shield_needed(shielding):\n",
+ " for value in [0.9, 0.95, 0.99, 1.0]:\n",
+ " shield_handler = MiniGridShieldHandler(GRID_TO_PRISM_BINARY, \"grid.txt\", \"grid.prism\", formula, shield_value=value, shield_comparison=shield_comparison, nocleanup=True, prism_file=None)\n",
+ " env = MiniGridSbShieldingWrapper(env, shield_handler=shield_handler, create_shield_at_reset=False)\n",
+ "\n",
+ "\n",
+ " shield_handlers[value] = shield_handler\n",
+ " if shield_needed(shielding):\n",
+ " for value in [0.9, 0.95, 0.99, 1.0]: \n",
+ " create_shield_overlay_image(image_env, shield_handlers[value].create_shield())\n",
+ " print(f\"The shield for shield_value = {value}\")\n",
+ "\n",
+ " if shielding == ShieldingConfig.Training:\n",
+ " env = MiniGridSbShieldingWrapper(env, shield_handler=shield_handlers[value_for_training], create_shield_at_reset=False)\n",
+ " env = ActionMasker(env, mask_fn)\n",
+ " print(\"Training with shield:\")\n",
+ " create_shield_overlay_image(image_env, shield_handlers[value_for_training].create_shield())\n",
+ " elif shielding == ShieldingConfig.Disabled:\n",
+ " env = ActionMasker(env, nomask_fn)\n",
+ " else:\n",
+ " assert(False) \n",
+ " model = MaskablePPO(\"CnnPolicy\", env, verbose=1, device=\"auto\")\n",
+ " model.set_logger(logger)\n",
+ " steps = 200\n",
+ "\n",
+ " model.learn(steps,callback=[InfoCallback()])\n",
+ "\n",
+ "\n",
+ "\n",
+ "if __name__ == '__main__':\n",
+ " print(\"Starting the training\")\n",
+ " main()"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "metadata": {},
+ "outputs": [],
+ "source": []
+ }
+ ],
+ "metadata": {
+ "kernelspec": {
+ "display_name": "Python 3 (ipykernel)",
+ "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": "3.10.12"
+ }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 4
+}
diff --git a/notebooks/.ipynb_checkpoints/SlipperyCliff-checkpoint.ipynb b/notebooks/.ipynb_checkpoints/SlipperyCliff-checkpoint.ipynb
index bf1b2b2..ae77efb 100644
--- a/notebooks/.ipynb_checkpoints/SlipperyCliff-checkpoint.ipynb
+++ b/notebooks/.ipynb_checkpoints/SlipperyCliff-checkpoint.ipynb
@@ -9,7 +9,7 @@
},
{
"cell_type": "code",
- "execution_count": 1,
+ "execution_count": 2,
"metadata": {
"vscode": {
"languageId": "plaintext"
@@ -20,7 +20,7 @@
"name": "stdout",
"output_type": "stream",
"text": [
- "pygame 2.6.0 (SDL 2.28.4, Python 3.10.12)\n",
+ "pygame 2.6.1 (SDL 2.28.4, Python 3.10.12)\n",
"Hello from the pygame community. https://www.pygame.org/contribute.html\n"
]
},
@@ -28,12 +28,12 @@
"name": "stderr",
"output_type": "stream",
"text": [
- "2024-09-23 08:47:31.782344: E external/local_xla/xla/stream_executor/cuda/cuda_fft.cc:485] Unable to register cuFFT factory: Attempting to register factory for plugin cuFFT when one has already been registered\n",
- "2024-09-23 08:47:31.796255: E external/local_xla/xla/stream_executor/cuda/cuda_dnn.cc:8454] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered\n",
- "2024-09-23 08:47:31.800423: E external/local_xla/xla/stream_executor/cuda/cuda_blas.cc:1452] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered\n",
- "2024-09-23 08:47:31.810763: I tensorflow/core/platform/cpu_feature_guard.cc:210] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations.\n",
+ "2024-11-29 10:15:58.098867: E external/local_xla/xla/stream_executor/cuda/cuda_fft.cc:485] Unable to register cuFFT factory: Attempting to register factory for plugin cuFFT when one has already been registered\n",
+ "2024-11-29 10:15:58.215498: E external/local_xla/xla/stream_executor/cuda/cuda_dnn.cc:8454] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered\n",
+ "2024-11-29 10:15:58.247100: E external/local_xla/xla/stream_executor/cuda/cuda_blas.cc:1452] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered\n",
+ "2024-11-29 10:15:58.481063: I tensorflow/core/platform/cpu_feature_guard.cc:210] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations.\n",
"To enable the following instructions: AVX2 FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags.\n",
- "2024-09-23 08:47:32.657828: W tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Could not find TensorRT\n",
+ "2024-11-29 10:16:01.296290: W tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Could not find TensorRT\n",
"error: XDG_RUNTIME_DIR not set in the environment.\n"
]
}
@@ -65,7 +65,7 @@
},
{
"cell_type": "code",
- "execution_count": null,
+ "execution_count": 3,
"metadata": {
"vscode": {
"languageId": "plaintext"
@@ -81,10 +81,10 @@
},
{
"data": {
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",
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TqufUVTltPEWpox1a/g0mxQfvBZv88gHU7z90f5NEcPGST50vvv8Ad1+X4BKvJNrlb+6339Pn+J1dFcpFaeItMRTpN/Bq1i4/di8f54weh3j7w/yKuadYXEGqRz6trRnv3RvLtY2EcSr32p1bHqaJYeMU3zp/ff7unz/EI15NpcrX3W+/r8vwN+isDUbC4n1SSfSdaMF+iL5lrIwkiZe25Oq59RVOW08RamjHVr+DSbFB+8Fm/wA8gHU7z90f5NEcPGST50vvv93X5fgEq8k2uVv7rff0+f4nV0VykVp4i0xFOk38GrWLj92Lx/njB6HePvD/ACKuadYXEGqRz6trRnv3RvLtY2EcSr32p1bHqaJYeMU3zp/ff7unz/EI15NpcrX3W+/r8vwPS/HGoeJIJ5I4tX0vw3oCIPN1a4cSTuSOVjQ4APbnnuPSuN8O6tKbpv8AhBfHUuqXBO6XSPEhYNc998TkBhkZIAyOecV0Hi7T4LvxuZdP8I3Gt61HCm251JyunWg7MN3DN0JCjPHUHNYmrxapqVkZfE2i6T4x0pGIN94ebF1YsOqqAcsFOeAc8Zb0r9CPhSLxFq0oul/4Trx1LpdwDui0jw2WLW3ffK4BY4GCQcDjjNdl4H1DxJPPHHLq+l+JNAdD5WrW7iOdCBwsiDIJ7cc9z6VyWkRapptkJfDOi6T4O0p2AF94hbN1fMeisCcqGOOCc85X0rb8I6fBaeNxLqHhG40TWpIX3XOmuW067Hdjt4VupAYZ56k4oA6/XvG3hzwvcxW2tarDZzSp5iI6sdy5xngHuKyf+FueAv8AoZLb/vh//iaw/ifHrz6xZHSYtceL7P8AOdOsYZ13bj1L8g+wrhHj8YxxtI8Pi5UUEsTpFrwB+NAHq/8AwtzwF/0Mlt/3w/8A8TXa18v63e3d14J1nztTmv7S60W1v4ftFtFE8TG+WMj5B6Ie/evqCgDA17xt4c8L3MVtrWqw2c0qeYiOrHcucZ4B7isn/hbngL/oZLb/AL4f/wCJrD+J8evPrFkdJi1x4vs/znTrGGdd249S/IPsK4R4/GMcbSPD4uVFBLE6Ra8AfjQB6v8A8Lc8Bf8AQyW3/fD/APxNdrXy/rd7d3XgnWfO1Oa/tLrRbW/h+0W0UTxMb5YyPkHoh796+oKAMDXvG3hzwvcxW2tarDZzSp5iI6sdy5xngHuKyf8AhbngL/oZLb/vh/8A4msP4nx68+sWR0mLXHi+z/OdOsYZ13bj1L8g+wrhHj8YxxtI8Pi5UUEsTpFrwB+NAHq//C3PAX/QyW3/AHw//wATXa18v63e3d14J1nztTmv7S60W1v4ftFtFE8TG+WMj5B6Ie/evqCgDA17xt4c8L3MVtrWqw2c0qeYiOrHcucZ4B7isn/hbngL/oZLb/vh/wD4msP4nx68+sWR0mLXHi+z/OdOsYZ13bj1L8g+wrhHj8YxxtI8Pi5UUEsTpFrwB+NAHq//AAtzwF/0Mlt/3w//AMTXa18v63e3d14J1nztTmv7S60W1v4ftFtFE8TG+WMj5B6Ie/evqCgDA17xt4c8L3MVtrWqw2c0qeYiOrHcucZ4B7isn/hbngL/AKGS2/74f/4msP4nx68+sWR0mLXHi+z/ADnTrGGdd249S/IPsK4R4/GMcbSPD4uVFBLE6Ra8AfjQB6v/AMLc8Bf9DJbf98P/APE12tfL+t3t3deCdZ87U5r+0utFtb+H7RbRRPExvljI+QeiHv3r6goA+ZKKKKACiiigAooooAKKKKAPpuqmqf8AIJvf+uD/APoJq3RQB8q3v/JO5f8AsVLT/wBOjV9VUUUAFVNU/wCQTe/9cH/9BNW6KAPlW9/5J3L/ANipaf8Ap0avqqiigAqpqn/IJvf+uD/+gmrdFAHyre/8k7l/7FS0/wDTo1fVVFFABVTVP+QTe/8AXB//AEE1booA+Vb3/kncv/YqWn/p0avqqiigAqpqn/IJvf8Arg//AKCat0UAfKt7/wAk7l/7FS0/9OjV9VUUUAFVNU/5BN7/ANcH/wDQTVuigD5Vvf8Akncv/YqWn/p0avqqiigAqpqn/IJvf+uD/wDoJq3RQB8q3v8AyTuX/sVLT/06NX1VRRQAVU1T/kE3v/XB/wD0E1booA+Vb3/kncv/AGKlp/6dGr6qoooAKqap/wAgm9/64P8A+gmrdFAHyre/8k7l/wCxUtP/AE6NX1VRRQAVU1T/AJBN7/1wf/0E1booA+Vb3/kncv8A2Klp/wCnRq+qqKKACqmqf8gm9/64P/6Cat0UAfKt7/yTuX/sVLT/ANOjV9VUUUAFVNU/5BN7/wBcH/8AQTVuigD5Vvf+Sdy/9ipaf+nRq+qqKKACqmqf8gm9/wCuD/8AoJq3RQB8q3v/ACTuX/sVLT/06NX1VRRQAVU1T/kE3v8A1wf/ANBNW6KAPlW9/wCSdy/9ipaf+nRq+qqKKAPKfiPNpMuvLZa14g1O+hkRRD4X0iMiWdscmRlOSpznB29OM1zkltpWlXkFxPpWq/DbUZAq299A4ns5R/Cs2Plz3Ktj3NeheINJ8V6j4imj0IaXotpLEq3Gs+UJbuUf3FXAwB/tH3B7Vm3HgfxRoMMjeH/EMmswSj/StL8Qnzo7gn7xV8ZUnnjpk80AcfHbaVqt5PcQaVqvxJ1GMMtxfXDiCziH8Sw5+XPcKufY10fw4m0mLXmstF8QanYwxowm8L6vGTLA2ODGzHIUYzgbuvOKu2/gfxRr0MbeIPEMmjQRD/RdL8PHyY7cj7pZ8ZYjjjpkcVpeH9J8V6d4ihj10aXrVpFEy2+s+UIruIf3GXByD/sn3J7UAeRa9H4du9aS2vZpLDVAoaG8QmIn2D9D9D+FVr/T9N05I5/FWuS6jt/1Nu42q3p+7X7x9zx611t5Y2uo27W95bxzxHqsi5FZ2l+FtH0eUzWloPO7SSEuyjsAT0HbivhKeKjGCTlLTpp+D3j6an2lTDSlNtJa+v4raX4GHYafpuopJP4V1yXTt3+ut0G5V9f3bfdPuOPSrOgx+HbTWntrKaS/1QqWmvHJlI9i/QfQfjWnqnhbR9YlE13aDzu8kZKMw7gkdR25rRs7G1063W3s7eOCIdFjXApVMVGUGlKWvp+L3l+AU8NKM02lp6/gto/ic3r0fh271pLa9mksNUChobxCYifYP0P0P4VWv9P03Tkjn8Va5LqO3/U27jaren7tfvH3PHrXW3lja6jbtb3lvHPEeqyLkVnaX4W0fR5TNaWg87tJIS7KOwBPQduKdPFRjBJylp00/B7x9NQqYaUptpLX1/FbS/Aw7DT9N1FJJ/CuuS6du/11ug3Kvr+7b7p9xx6VZ0GPw7aa09tZTSX+qFS0145MpHsX6D6D8a09U8LaPrEomu7Qed3kjJRmHcEjqO3NaNnY2unW629nbxwRDosa4FKpioyg0pS19Pxe8vwCnhpRmm0tPX8FtH8Tm9ej8O3etJbXs0lhqgUNDeITET7B+h+h/Cq1/p+m6ckc/irXJdR2/wCpt3G1W9P3a/ePuePWutvLG11G3a3vLeOeI9VkXIrO0vwto+jyma0tB53aSQl2UdgCeg7cU6eKjGCTlLTpp+D3j6ahUw0pTbSWvr+K2l+Bh2Gn6bqKST+Fdcl07d/rrdBuVfX9233T7jj0qzoMfh201p7aymkv9UKlprxyZSPYv0H0H41p6p4W0fWJRNd2g87vJGSjMO4JHUdua0bOxtdOt1t7O3jgiHRY1wKVTFRlBpSlr6fi95fgFPDSjNNpaev4LaP4nN69H4du9aS2vZpLDVAoaG8QmIn2D9D9D+FVr/T9N05I5/FWuS6jt/1Nu42q3p+7X7x9zx611t5Y2uo27W95bxzxHqsi5FZ2l+FtH0eUzWloPO7SSEuyjsAT0HbinTxUYwScpadNPwe8fTUKmGlKbaS19fxW0vwMOw0/TdRSSfwrrkunbv8AXW6Dcq+v7tvun3HHpVnQY/DtprT21lNJf6oVLTXjkykexfoPoPxrT1Twto+sSia7tB53eSMlGYdwSOo7c1o2dja6dbrb2dvHBEOixrgUqmKjKDSlLX0/F7y/AKeGlGabS09fwW0fxNr4jzaTLry2WteINTvoZEUQ+F9IjIlnbHJkZTkqc5wdvTjNc5JbaVpV5BcT6Vqvw21GQKtvfQOJ7OUfwrNj5c9yrY9zXoXiDSfFeo+Ipo9CGl6LaSxKtxrPlCW7lH9xVwMAf7R9we1Ztx4H8UaDDI3h/wAQyazBKP8AStL8Qnzo7gn7xV8ZUnnjpk8194fFnHx22lareT3EGlar8SdRjDLcX1w4gs4h/EsOflz3Crn2NdH8OJtJi15rLRfEGp2MMaMJvC+rxkywNjgxsxyFGM4G7rzirtv4H8Ua9DG3iDxDJo0EQ/0XS/Dx8mO3I+6WfGWI446ZHFaXh/SfFeneIoY9dGl61aRRMtvrPlCK7iH9xlwcg/7J9ye1AHb1U1T/AJBN7/1wf/0E1booA+Vb3/kncv8A2Klp/wCnRq+qqKKACqmqf8gm9/64P/6Cat0UAfKt7/yTuX/sVLT/ANOjV9VUUUAFVNU/5BN7/wBcH/8AQTVuigD5Vvf+Sdy/9ipaf+nRq+qqKKACqmqf8gm9/wCuD/8AoJq3RQB8q3v/ACTuX/sVLT/06NX1VRRQAVU1T/kE3v8A1wf/ANBNW6KAPlW9/wCSdy/9ipaf+nRq+qqKKAPmSiiigAooooAKKKKACiiigD3zXvG3hzwvcxW2tarDZzSp5iI6sdy5xngHuKyf+FueAv8AoZLb/vh//iaw/ifHrz6xZHSYtceL7P8AOdOsYZ13bj1L8g+wrhHj8YxxtI8Pi5UUEsTpFrwB+NAHq/8AwtzwF/0Mlt/3w/8A8TXa18v63e3d14J1nztTmv7S60W1v4ftFtFE8TG+WMj5B6Ie/evqCgDA17xt4c8L3MVtrWqw2c0qeYiOrHcucZ4B7isn/hbngL/oZLb/AL4f/wCJrD+J8evPrFkdJi1x4vs/znTrGGdd249S/IPsK4R4/GMcbSPD4uVFBLE6Ra8AfjQB6v8A8Lc8Bf8AQyW3/fD/APxNdrXy/rd7d3XgnWfO1Oa/tLrRbW/h+0W0UTxMb5YyPkHoh796+oKAMDXvG3hzwvcxW2tarDZzSp5iI6sdy5xngHuKyf8AhbngL/oZLb/vh/8A4msP4nx68+sWR0mLXHi+z/OdOsYZ13bj1L8g+wrhHj8YxxtI8Pi5UUEsTpFrwB+NAHq//C3PAX/QyW3/AHw//wATXa18v63e3d14J1nztTmv7S60W1v4ftFtFE8TG+WMj5B6Ie/evqCgDA17xt4c8L3MVtrWqw2c0qeYiOrHcucZ4B7isn/hbngL/oZLb/vh/wD4msP4nx68+sWR0mLXHi+z/OdOsYZ13bj1L8g+wrhHj8YxxtI8Pi5UUEsTpFrwB+NAHq//AAtzwF/0Mlt/3w//AMTXa18v63e3d14J1nztTmv7S60W1v4ftFtFE8TG+WMj5B6Ie/evqCgDA17xt4c8L3MVtrWqw2c0qeYiOrHcucZ4B7isn/hbngL/AKGS2/74f/4msP4nx68+sWR0mLXHi+z/ADnTrGGdd249S/IPsK4R4/GMcbSPD4uVFBLE6Ra8AfjQB6v/AMLc8Bf9DJbf98P/APE12tfL+t3t3deCdZ87U5r+0utFtb+H7RbRRPExvljI+QeiHv3r6goAwNe8beHPC9zFba1qsNnNKnmIjqx3LnGeAe4rJ/4W54C/6GS2/wC+H/8Aiaw/ifHrz6xZHSYtceL7P8506xhnXduPUvyD7CuEePxjHG0jw+LlRQSxOkWvAH40Aer/APC3PAX/AEMlt/3w/wD8TXa18v63e3d14J1nztTmv7S60W1v4ftFtFE8TG+WMj5B6Ie/evqCgDA17xt4c8L3MVtrWqw2c0qeYiOrHcucZ4B7isn/AIW54C/6GS2/74f/AOJrD+J8evPrFkdJi1x4vs/znTrGGdd249S/IPsK4R4/GMcbSPD4uVFBLE6Ra8AfjQB6v/wtzwF/0Mlt/wB8P/8AE12tfL+t3t3deCdZ87U5r+0utFtb+H7RbRRPExvljI+QeiHv3r6goAwNe8beHPC9zFba1qsNnNKnmIjqx3LnGeAe4rJ/4W54C/6GS2/74f8A+JrD+J8evPrFkdJi1x4vs/znTrGGdd249S/IPsK4R4/GMcbSPD4uVFBLE6Ra8AfjQB6v/wALc8Bf9DJbf98P/wDE12tfL+t3t3deCdZ87U5r+0utFtb+H7RbRRPExvljI+QeiHv3r6goAwNe8beHPC9zFba1qsNnNKnmIjqx3LnGeAe4rJ/4W54C/wChktv++H/+JrD+J8evPrFkdJi1x4vs/wA506xhnXduPUvyD7CuEePxjHG0jw+LlRQSxOkWvAH40Aer/wDC3PAX/QyW3/fD/wDxNdrXy/rd7d3XgnWfO1Oa/tLrRbW/h+0W0UTxMb5YyPkHoh796+oKAOI1bxBrGnePDoUk8EVprFg/9kXDR8RXaA7lf+8CCG/AAd6wIfiPq0Wg6HrV6sccNnfPpfiWAoA0EmQqy5/hUNgkf7eO1XfHFxFr3jjQvD6yLFBpDjXNSu84Nukedi7uxY5z0OOa4+5kuNV0HUp7eBY9R+IWoLDZW7pxFZxDHnMvrsyxI/vKaAOr1Dxd4ntLbxRp8Rt5da0eZb+3XyuLvTyd2FH94AMpIzyAOpzWlp/jiWfxnpcUksb6B4gsFm0uXaAUnUZeNj6kHPPcADvXJS6vbabrureJoiz6V4T04aHZFjlr66OAVY9WAO0EevzDvUWk+HZxP4M8C7iLjTZP7e1WVOPszbiUhQjhcsxBAxwM96AO31bxBrGnePDoUk8EVprFg/8AZFw0fEV2gO5X/vAghvwAHesCH4j6tFoOh61erHHDZ3z6X4lgKANBJkKsuf4VDYJH+3jtV3xxcRa9440Lw+sixQaQ41zUrvODbpHnYu7sWOc9DjmuPuZLjVdB1Ke3gWPUfiFqCw2Vu6cRWcQx5zL67MsSP7ymgDq9Q8XeJ7S28UafEbeXWtHmW/t18ri708ndhR/eADKSM8gDqc1paf44ln8Z6XFJLG+geILBZtLl2gFJ1GXjY+pBzz3AA71yUur22m67q3iaIs+leE9OGh2RY5a+ujgFWPVgDtBHr8w71FpPh2cT+DPAu4i402T+3tVlTj7M24lIUI4XLMQQMcDPegDt9W8Qaxp3jw6FJPBFaaxYP/ZFw0fEV2gO5X/vAghvwAHesCH4j6tFoOh61erHHDZ3z6X4lgKANBJkKsuf4VDYJH+3jtV3xxcRa9440Lw+sixQaQ41zUrvODbpHnYu7sWOc9DjmuPuZLjVdB1Ke3gWPUfiFqCw2Vu6cRWcQx5zL67MsSP7ymgDq9Q8XeJ7S28UafEbeXWtHmW/t18ri708ndhR/eADKSM8gDqc1paf44ln8Z6XFJLG+geILBZtLl2gFJ1GXjY+pBzz3AA71yUur22m67q3iaIs+leE9OGh2RY5a+ujgFWPVgDtBHr8w71FpPh2cT+DPAu4i402T+3tVlTj7M24lIUI4XLMQQMcDPegD0/XvG3hzwvcxW2tarDZzSp5iI6sdy5xngHuKyf+FueAv+hktv8Avh//AImsP4nx68+sWR0mLXHi+z/OdOsYZ13bj1L8g+wrhHj8YxxtI8Pi5UUEsTpFrwB+NAHq/wDwtzwF/wBDJbf98P8A/E12tfL+t3t3deCdZ87U5r+0utFtb+H7RbRRPExvljI+QeiHv3r6goAwNe8beHPC9zFba1qsNnNKnmIjqx3LnGeAe4rJ/wCFueAv+hktv++H/wDiaw/ifHrz6xZHSYtceL7P8506xhnXduPUvyD7CuEePxjHG0jw+LlRQSxOkWvAH40Aer/8Lc8Bf9DJbf8AfD//ABNdrXy/rd7d3XgnWfO1Oa/tLrRbW/h+0W0UTxMb5YyPkHoh796+oKAOD8cah4kgnkji1fS/DegIg83VrhxJO5I5WNDgA9uee49K43w7q0pum/4QXx1LqlwTul0jxIWDXPffE5AYZGSAMjnnFdB4u0+C78bmXT/CNxretRwptudScrp1oOzDdwzdCQozx1BzWJq8WqalZGXxNouk+MdKRiDfeHmxdWLDqqgHLBTngHPGW9KAIvEWrSi6X/hOvHUul3AO6LSPDZYtbd98rgFjgYJBwOOM12XgfUPEk88ccur6X4k0B0PlatbuI50IHCyIMgntxz3PpXJaRFqmm2Ql8M6LpPg7SnYAX3iFs3V8x6KwJyoY44JzzlfStvwjp8Fp43EuoeEbjRNakhfdc6a5bTrsd2O3hW6kBhnnqTigDForA1GwuJ9Ukn0nWjBfoi+ZayMJImXtuTqufUVTltPEWpox1a/g0mxQfvBZv88gHU7z90f5NfnscPGST50vvv8Ad1+X4H3Uq8k2uVv7rff0+f4nV0VykVp4i0xFOk38GrWLj92Lx/njB6HePvD/ACKuadYXEGqRz6trRnv3RvLtY2EcSr32p1bHqaJYeMU3zp/ff7unz/EI15NpcrX3W+/r8vwN+isDUbC4n1SSfSdaMF+iL5lrIwkiZe25Oq59RVOW08RamjHVr+DSbFB+8Fm/zyAdTvP3R/k0Rw8ZJPnS++/3dfl+ASryTa5W/ut9/T5/idXRXKRWniLTEU6TfwatYuP3YvH+eMHod4+8P8irmnWFxBqkc+ra0Z790by7WNhHEq99qdWx6miWHjFN86f33+7p8/xCNeTaXK191vv6/L8DforA1GwuJ9Ukn0nWjBfoi+ZayMJImXtuTqufUVTltPEWpox1a/g0mxQfvBZv88gHU7z90f5NEcPGST50vvv93X5fgEq8k2uVv7rff0+f4nV0VykVp4i0xFOk38GrWLj92Lx/njB6HePvD/Iq5p1hcQapHPq2tGe/dG8u1jYRxKvfanVsepolh4xTfOn99/u6fP8AEI15NpcrX3W+/r8vwN+isDUbC4n1SSfSdaMF+iL5lrIwkiZe25Oq59RVOW08RamjHVr+DSbFB+8Fm/zyAdTvP3R/k0Rw8ZJPnS++/wB3X5fgEq8k2uVv7rff0+f4nV0VykVp4i0xFOk38GrWLj92Lx/njB6HePvD/Iq5p1hcQapHPq2tGe/dG8u1jYRxKvfanVsepolh4xTfOn99/u6fP8QjXk2lytfdb7+vy/A9L8cah4kgnkji1fS/DegIg83VrhxJO5I5WNDgA9uee49K43w7q0pum/4QXx1LqlwTul0jxIWDXPffE5AYZGSAMjnnFdB4u0+C78bmXT/CNxretRwptudScrp1oOzDdwzdCQozx1BzWJq8WqalZGXxNouk+MdKRiDfeHmxdWLDqqgHLBTngHPGW9K/Qj4Ui8RatKLpf+E68dS6XcA7otI8Nli1t33yuAWOBgkHA44zXZeB9Q8STzxxy6vpfiTQHQ+Vq1u4jnQgcLIgyCe3HPc+lclpEWqabZCXwzouk+DtKdgBfeIWzdXzHorAnKhjjgnPOV9K2/COnwWnjcS6h4RuNE1qSF91zprltOux3Y7eFbqQGGeepOKAOv17xt4c8L3MVtrWqw2c0qeYiOrHcucZ4B7isn/hbngL/oZLb/vh/wD4msP4nx68+sWR0mLXHi+z/OdOsYZ13bj1L8g+wrhHj8YxxtI8Pi5UUEsTpFrwB+NAHq//AAtzwF/0Mlt/3w//AMTXa18v63e3d14J1nztTmv7S60W1v4ftFtFE8TG+WMj5B6Ie/evqCgDA17xt4c8L3MVtrWqw2c0qeYiOrHcucZ4B7isn/hbngL/AKGS2/74f/4msP4nx68+sWR0mLXHi+z/ADnTrGGdd249S/IPsK4R4/GMcbSPD4uVFBLE6Ra8AfjQB6v/AMLc8Bf9DJbf98P/APE12tfL+t3t3deCdZ87U5r+0utFtb+H7RbRRPExvljI+QeiHv3r6goAwNe8beHPC9zFba1qsNnNKnmIjqx3LnGeAe4rJ/4W54C/6GS2/wC+H/8Aiaw/ifHrz6xZHSYtceL7P8506xhnXduPUvyD7CuEePxjHG0jw+LlRQSxOkWvAH40Aer/APC3PAX/AEMlt/3w/wD8TXa18v63e3d14J1nztTmv7S60W1v4ftFtFE8TG+WMj5B6Ie/evqCgDA17xt4c8L3MVtrWqw2c0qeYiOrHcucZ4B7isn/AIW54C/6GS2/74f/AOJrD+J8evPrFkdJi1x4vs/znTrGGdd249S/IPsK4R4/GMcbSPD4uVFBLE6Ra8AfjQB6v/wtzwF/0Mlt/wB8P/8AE12tfL+t3t3deCdZ87U5r+0utFtb+H7RbRRPExvljI+QeiHv3r6goAwNe8beHPC9zFba1qsNnNKnmIjqx3LnGeAe4rJ/4W54C/6GS2/74f8A+JrD+J8evPrFkdJi1x4vs/znTrGGdd249S/IPsK4R4/GMcbSPD4uVFBLE6Ra8AfjQB6v/wALc8Bf9DJbf98P/wDE12tfL+t3t3deCdZ87U5r+0utFtb+H7RbRRPExvljI+QeiHv3r6goA+ZKKKKACiiigAooooAKKKKAPpuqmqf8gm9/64P/AOgmrdFAHyre/wDJO5f+xUtP/To1fVVFFABVTVP+QTe/9cH/APQTVuigD5Vvf+Sdy/8AYqWn/p0avqqiigAqpqn/ACCb3/rg/wD6Cat0UAfKt7/yTuX/ALFS0/8ATo1fVVFFABVTVP8AkE3v/XB//QTVuigD5Vvf+Sdy/wDYqWn/AKdGr6qoooAKqap/yCb3/rg//oJq3RQB8q3v/JO5f+xUtP8A06NX1VRRQAVU1T/kE3v/AFwf/wBBNW6KAPlW9/5J3L/2Klp/6dGr6qoooAKqap/yCb3/AK4P/wCgmrdFAHyre/8AJO5f+xUtP/To1fVVFFABVTVP+QTe/wDXB/8A0E1booA+Vb3/AJJ3L/2Klp/6dGr6qoooAKqap/yCb3/rg/8A6Cat0UAfKt7/AMk7l/7FS0/9OjV9VUUUAebeOLeLQfHGheIFjWWDV3Gh6laYybhJM7G29ypznqccVx9zHcaVoOpQW86yaj8PdQWayuHfiWzlGfJZvXZlSB/dUV6Fq3h/WNR8eHXZIIJbTR7B/wCyLdpOJbtwdzP/AHQAAv4gjvWBD8ONWl0HQ9FvWjkhvL59U8SzlwWnkyGWLH8SlsAn/Yz3oAzJdIttS13VvDMQZNK8WacNcsgww1jdDBLMOqgnaSfX5R3qLSfEU5n8GeOtpNxqUn9g6rEnP2ltxCTIBw2GUkkZ4OO1dBqHhHxPd23ijUIhbxa1rEy2Fu3m8Wmng7cqf7xBZiBjkg9RitLT/A8sHjPS5ZIo00Dw/YLDpcW4EvOww8jD1AGOe5BHegCl44t4tB8caF4gWNZYNXcaHqVpjJuEkzsbb3KnOepxxXH3MdxpWg6lBbzrJqPw91BZrK4d+JbOUZ8lm9dmVIH91RXoWreH9Y1Hx4ddkggltNHsH/si3aTiW7cHcz/3QAAv4gjvWBD8ONWl0HQ9FvWjkhvL59U8SzlwWnkyGWLH8SlsAn/Yz3oAzJdIttS13VvDMQZNK8WacNcsgww1jdDBLMOqgnaSfX5R3qLSfEU5n8GeOtpNxqUn9g6rEnP2ltxCTIBw2GUkkZ4OO1dBqHhHxPd23ijUIhbxa1rEy2Fu3m8Wmng7cqf7xBZiBjkg9RitLT/A8sHjPS5ZIo00Dw/YLDpcW4EvOww8jD1AGOe5BHegCl44t4tB8caF4gWNZYNXcaHqVpjJuEkzsbb3KnOepxxXH3MdxpWg6lBbzrJqPw91BZrK4d+JbOUZ8lm9dmVIH91RXoWreH9Y1Hx4ddkggltNHsH/ALIt2k4lu3B3M/8AdAAC/iCO9YEPw41aXQdD0W9aOSG8vn1TxLOXBaeTIZYsfxKWwCf9jPegDMl0i21LXdW8MxBk0rxZpw1yyDDDWN0MEsw6qCdpJ9flHeotJ8RTmfwZ462k3GpSf2DqsSc/aW3EJMgHDYZSSRng47V0GoeEfE93beKNQiFvFrWsTLYW7ebxaaeDtyp/vEFmIGOSD1GK0tP8DyweM9LlkijTQPD9gsOlxbgS87DDyMPUAY57kEd6AO8qpqn/ACCb3/rg/wD6Cat0UAfKt7/yTuX/ALFS0/8ATo1fVVFFABVTVP8AkE3v/XB//QTVuigD5Vvf+Sdy/wDYqWn/AKdGr6qoooA8p+I82ky68tlrXiDU76GRFEPhfSIyJZ2xyZGU5KnOcHb04zXOSW2laVeQXE+lar8NtRkCrb30DiezlH8KzY+XPcq2Pc16F4g0nxXqPiKaPQhpei2ksSrcaz5Qlu5R/cVcDAH+0fcHtWbceB/FGgwyN4f8QyazBKP9K0vxCfOjuCfvFXxlSeeOmTzQBx8dtpWq3k9xBpWq/EnUYwy3F9cOILOIfxLDn5c9wq59jXR/DibSYteay0XxBqdjDGjCbwvq8ZMsDY4MbMchRjOBu684q7b+B/FGvQxt4g8QyaNBEP8ARdL8PHyY7cj7pZ8ZYjjjpkcVpeH9J8V6d4ihj10aXrVpFEy2+s+UIruIf3GXByD/ALJ9ye1AHkWvR+HbvWktr2aSw1QKGhvEJiJ9g/Q/Q/hVa/0/TdOSOfxVrkuo7f8AU27jaren7tfvH3PHrXW3lja6jbtb3lvHPEeqyLkVnaX4W0fR5TNaWg87tJIS7KOwBPQduK+Ep4qMYJOUtOmn4PePpqfaVMNKU20lr6/itpfgYdhp+m6ikk/hXXJdO3f663QblX1/dt90+449Ks6DH4dtNae2sppL/VCpaa8cmUj2L9B9B+NaeqeFtH1iUTXdoPO7yRkozDuCR1HbmtGzsbXTrdbezt44Ih0WNcClUxUZQaUpa+n4veX4BTw0ozTaWnr+C2j+JzevR+HbvWktr2aSw1QKGhvEJiJ9g/Q/Q/hVa/0/TdOSOfxVrkuo7f8AU27jaren7tfvH3PHrXW3lja6jbtb3lvHPEeqyLkVnaX4W0fR5TNaWg87tJIS7KOwBPQduKdPFRjBJylp00/B7x9NQqYaUptpLX1/FbS/Aw7DT9N1FJJ/CuuS6du/11ug3Kvr+7b7p9xx6VZ0GPw7aa09tZTSX+qFS0145MpHsX6D6D8a09U8LaPrEomu7Qed3kjJRmHcEjqO3NaNnY2unW629nbxwRDosa4FKpioyg0pS19Pxe8vwCnhpRmm0tPX8FtH8Tm9ej8O3etJbXs0lhqgUNDeITET7B+h+h/Cq1/p+m6ckc/irXJdR2/6m3cbVb0/dr94+549a628sbXUbdre8t454j1WRcis7S/C2j6PKZrS0HndpJCXZR2AJ6DtxTp4qMYJOUtOmn4PePpqFTDSlNtJa+v4raX4GHYafpuopJP4V1yXTt3+ut0G5V9f3bfdPuOPSrOgx+HbTWntrKaS/wBUKlprxyZSPYv0H0H41p6p4W0fWJRNd2g87vJGSjMO4JHUdua0bOxtdOt1t7O3jgiHRY1wKVTFRlBpSlr6fi95fgFPDSjNNpaev4LaP4nN69H4du9aS2vZpLDVAoaG8QmIn2D9D9D+FVr/AE/TdOSOfxVrkuo7f9TbuNqt6fu1+8fc8etdbeWNrqNu1veW8c8R6rIuRWdpfhbR9HlM1paDzu0khLso7AE9B24p08VGMEnKWnTT8HvH01CphpSm2ktfX8VtL8DDsNP03UUkn8K65Lp27/XW6Dcq+v7tvun3HHpVnQY/DtprT21lNJf6oVLTXjkykexfoPoPxrT1Twto+sSia7tB53eSMlGYdwSOo7c1o2dja6dbrb2dvHBEOixrgUqmKjKDSlLX0/F7y/AKeGlGabS09fwW0fxNr4jzaTLry2WteINTvoZEUQ+F9IjIlnbHJkZTkqc5wdvTjNc5JbaVpV5BcT6Vqvw21GQKtvfQOJ7OUfwrNj5c9yrY9zXoXiDSfFeo+Ipo9CGl6LaSxKtxrPlCW7lH9xVwMAf7R9we1Ztx4H8UaDDI3h/xDJrMEo/0rS/EJ86O4J+8VfGVJ546ZPNfeHxZx8dtpWq3k9xBpWq/EnUYwy3F9cOILOIfxLDn5c9wq59jXR/DibSYteay0XxBqdjDGjCbwvq8ZMsDY4MbMchRjOBu684q7b+B/FGvQxt4g8QyaNBEP9F0vw8fJjtyPulnxliOOOmRxWl4f0nxXp3iKGPXRpetWkUTLb6z5Qiu4h/cZcHIP+yfcntQB29VNU/5BN7/ANcH/wDQTVuigD5Vvf8Akncv/YqWn/p0avqqiigAqpqn/IJvf+uD/wDoJq3RQB8q3v8AyTuX/sVLT/06NX1VRRQAVU1T/kE3v/XB/wD0E1booA+Vb3/kncv/AGKlp/6dGr6qoooAKqap/wAgm9/64P8A+gmrdFAHyre/8k7l/wCxUtP/AE6NX1VRRQAVU1T/AJBN7/1wf/0E1booA+Vb3/kncv8A2Klp/wCnRq+qqKKAPmSiiigAooooAKKKKACiiigD3zXvG3hzwvcxW2tarDZzSp5iI6sdy5xngHuKyf8AhbngL/oZLb/vh/8A4msP4nx68+sWR0mLXHi+z/OdOsYZ13bj1L8g+wrhHj8YxxtI8Pi5UUEsTpFrwB+NAHq//C3PAX/QyW3/AHw//wATXa18v63e3d14J1nztTmv7S60W1v4ftFtFE8TG+WMj5B6Ie/evqCgDA17xt4c8L3MVtrWqw2c0qeYiOrHcucZ4B7isn/hbngL/oZLb/vh/wD4msP4nx68+sWR0mLXHi+z/OdOsYZ13bj1L8g+wrhHj8YxxtI8Pi5UUEsTpFrwB+NAHq//AAtzwF/0Mlt/3w//AMTXa18v63e3d14J1nztTmv7S60W1v4ftFtFE8TG+WMj5B6Ie/evqCgDA17xt4c8L3MVtrWqw2c0qeYiOrHcucZ4B7isn/hbngL/AKGS2/74f/4msP4nx68+sWR0mLXHi+z/ADnTrGGdd249S/IPsK4R4/GMcbSPD4uVFBLE6Ra8AfjQB6v/AMLc8Bf9DJbf98P/APE12tfL+t3t3deCdZ87U5r+0utFtb+H7RbRRPExvljI+QeiHv3r6goAwNe8beHPC9zFba1qsNnNKnmIjqx3LnGeAe4rJ/4W54C/6GS2/wC+H/8Aiaw/ifHrz6xZHSYtceL7P8506xhnXduPUvyD7CuEePxjHG0jw+LlRQSxOkWvAH40Aer/APC3PAX/AEMlt/3w/wD8TXa18v63e3d14J1nztTmv7S60W1v4ftFtFE8TG+WMj5B6Ie/evqCgDA17xt4c8L3MVtrWqw2c0qeYiOrHcucZ4B7isn/AIW54C/6GS2/74f/AOJrD+J8evPrFkdJi1x4vs/znTrGGdd249S/IPsK4R4/GMcbSPD4uVFBLE6Ra8AfjQB6v/wtzwF/0Mlt/wB8P/8AE12tfL+t3t3deCdZ87U5r+0utFtb+H7RbRRPExvljI+QeiHv3r6goAwNe8beHPC9zFba1qsNnNKnmIjqx3LnGeAe4rJ/4W54C/6GS2/74f8A+JrD+J8evPrFkdJi1x4vs/znTrGGdd249S/IPsK4R4/GMcbSPD4uVFBLE6Ra8AfjQB6v/wALc8Bf9DJbf98P/wDE12tfL+t3t3deCdZ87U5r+0utFtb+H7RbRRPExvljI+QeiHv3r6goAwNe8beHPC9zFba1qsNnNKnmIjqx3LnGeAe4rJ/4W54C/wChktv++H/+JrD+J8evPrFkdJi1x4vs/wA506xhnXduPUvyD7CuEePxjHG0jw+LlRQSxOkWvAH40Aer/wDC3PAX/QyW3/fD/wDxNdrXy/rd7d3XgnWfO1Oa/tLrRbW/h+0W0UTxMb5YyPkHoh796+oKAMDXvG3hzwvcxW2tarDZzSp5iI6sdy5xngHuKyf+FueAv+hktv8Avh//AImsP4nx68+sWR0mLXHi+z/OdOsYZ13bj1L8g+wrhHj8YxxtI8Pi5UUEsTpFrwB+NAHq/wDwtzwF/wBDJbf98P8A/E12tfL+t3t3deCdZ87U5r+0utFtb+H7RbRRPExvljI+QeiHv3r6goAwNe8beHPC9zFba1qsNnNKnmIjqx3LnGeAe4rJ/wCFueAv+hktv++H/wDiaw/ifHrz6xZHSYtceL7P8506xhnXduPUvyD7CuEePxjHG0jw+LlRQSxOkWvAH40Aer/8Lc8Bf9DJbf8AfD//ABNdrXy/rd7d3XgnWfO1Oa/tLrRbW/h+0W0UTxMb5YyPkHoh796+oKAPF6KwNRsLifVJJ9J1owX6IvmWsjCSJl7bk6rn1FU5bTxFqaMdWv4NJsUH7wWb/PIB1O8/dH+TX57HDxkk+dL77/d1+X4H3Uq8k2uVv7rff0+f4nV0VykVp4i0xFOk38GrWLj92Lx/njB6HePvD/Iq5p1hcQapHPq2tGe/dG8u1jYRxKvfanVsepolh4xTfOn99/u6fP8AEI15NpcrX3W+/r8vwN+isDUbC4n1SSfSdaMF+iL5lrIwkiZe25Oq59RVOW08RamjHVr+DSbFB+8Fm/zyAdTvP3R/k0Rw8ZJPnS++/wB3X5fgEq8k2uVv7rff0+f4nV0VykVp4i0xFOk38GrWLj92Lx/njB6HePvD/Iq5p1hcQapHPq2tGe/dG8u1jYRxKvfanVsepolh4xTfOn99/u6fP8QjXk2lytfdb7+vy/A36KwNRsLifVJJ9J1owX6IvmWsjCSJl7bk6rn1FU5bTxFqaMdWv4NJsUH7wWb/ADyAdTvP3R/k0Rw8ZJPnS++/3dfl+ASryTa5W/ut9/T5/idXRXKRWniLTEU6TfwatYuP3YvH+eMHod4+8P8AIq5p1hcQapHPq2tGe/dG8u1jYRxKvfanVsepolh4xTfOn99/u6fP8QjXk2lytfdb7+vy/A9L8cah4kgnkji1fS/DegIg83VrhxJO5I5WNDgA9uee49K43w7q0pum/wCEF8dS6pcE7pdI8SFg1z33xOQGGRkgDI55xXQeLtPgu/G5l0/wjca3rUcKbbnUnK6daDsw3cM3QkKM8dQc1iavFqmpWRl8TaLpPjHSkYg33h5sXViw6qoBywU54BzxlvSv0I+FIvEWrSi6X/hOvHUul3AO6LSPDZYtbd98rgFjgYJBwOOM12XgfUPEk88ccur6X4k0B0PlatbuI50IHCyIMgntxz3PpXJaRFqmm2Ql8M6LpPg7SnYAX3iFs3V8x6KwJyoY44JzzlfStvwjp8Fp43EuoeEbjRNakhfdc6a5bTrsd2O3hW6kBhnnqTigDr9e8beHPC9zFba1qsNnNKnmIjqx3LnGeAe4rJ/4W54C/wChktv++H/+JrD+J8evPrFkdJi1x4vs/wA506xhnXduPUvyD7CuEePxjHG0jw+LlRQSxOkWvAH40Aer/wDC3PAX/QyW3/fD/wDxNdrXy/rd7d3XgnWfO1Oa/tLrRbW/h+0W0UTxMb5YyPkHoh796+oKAMDXvG3hzwvcxW2tarDZzSp5iI6sdy5xngHuKyf+FueAv+hktv8Avh//AImsP4nx68+sWR0mLXHi+z/OdOsYZ13bj1L8g+wrhHj8YxxtI8Pi5UUEsTpFrwB+NAHq/wDwtzwF/wBDJbf98P8A/E12tfL+t3t3deCdZ87U5r+0utFtb+H7RbRRPExvljI+QeiHv3r6goA4jVvEGsad48OhSTwRWmsWD/2RcNHxFdoDuV/7wIIb8AB3rAh+I+rRaDoetXqxxw2d8+l+JYCgDQSZCrLn+FQ2CR/t47Vd8cXEWveONC8PrIsUGkONc1K7zg26R52Lu7FjnPQ45rj7mS41XQdSnt4Fj1H4hagsNlbunEVnEMecy+uzLEj+8poA6vUPF3ie0tvFGnxG3l1rR5lv7dfK4u9PJ3YUf3gAykjPIA6nNaWn+OJZ/GelxSSxvoHiCwWbS5doBSdRl42PqQc89wAO9clLq9tpuu6t4miLPpXhPThodkWOWvro4BVj1YA7QR6/MO9RaT4dnE/gzwLuIuNNk/t7VZU4+zNuJSFCOFyzEEDHAz3oA7fVvEGsad48OhSTwRWmsWD/ANkXDR8RXaA7lf8AvAghvwAHesCH4j6tFoOh61erHHDZ3z6X4lgKANBJkKsuf4VDYJH+3jtV3xxcRa9440Lw+sixQaQ41zUrvODbpHnYu7sWOc9DjmuPuZLjVdB1Ke3gWPUfiFqCw2Vu6cRWcQx5zL67MsSP7ymgDq9Q8XeJ7S28UafEbeXWtHmW/t18ri708ndhR/eADKSM8gDqc1paf44ln8Z6XFJLG+geILBZtLl2gFJ1GXjY+pBzz3AA71yUur22m67q3iaIs+leE9OGh2RY5a+ujgFWPVgDtBHr8w71FpPh2cT+DPAu4i402T+3tVlTj7M24lIUI4XLMQQMcDPegDt9W8Qaxp3jw6FJPBFaaxYP/ZFw0fEV2gO5X/vAghvwAHesCH4j6tFoOh61erHHDZ3z6X4lgKANBJkKsuf4VDYJH+3jtV3xxcRa9440Lw+sixQaQ41zUrvODbpHnYu7sWOc9DjmuPuZLjVdB1Ke3gWPUfiFqCw2Vu6cRWcQx5zL67MsSP7ymgDq9Q8XeJ7S28UafEbeXWtHmW/t18ri708ndhR/eADKSM8gDqc1paf44ln8Z6XFJLG+geILBZtLl2gFJ1GXjY+pBzz3AA71yUur22m67q3iaIs+leE9OGh2RY5a+ujgFWPVgDtBHr8w71FpPh2cT+DPAu4i402T+3tVlTj7M24lIUI4XLMQQMcDPegDt9W8Qaxp3jw6FJPBFaaxYP8A2RcNHxFdoDuV/wC8CCG/AAd6wIfiPq0Wg6HrV6sccNnfPpfiWAoA0EmQqy5/hUNgkf7eO1XfHFxFr3jjQvD6yLFBpDjXNSu84Nukedi7uxY5z0OOa4+5kuNV0HUp7eBY9R+IWoLDZW7pxFZxDHnMvrsyxI/vKaAOr1Dxd4ntLbxRp8Rt5da0eZb+3XyuLvTyd2FH94AMpIzyAOpzWlp/jiWfxnpcUksb6B4gsFm0uXaAUnUZeNj6kHPPcADvXJS6vbabrureJoiz6V4T04aHZFjlr66OAVY9WAO0EevzDvUWk+HZxP4M8C7iLjTZP7e1WVOPszbiUhQjhcsxBAxwM96APT9e8beHPC9zFba1qsNnNKnmIjqx3LnGeAe4rJ/4W54C/wChktv++H/+JrD+J8evPrFkdJi1x4vs/wA506xhnXduPUvyD7CuEePxjHG0jw+LlRQSxOkWvAH40Aer/wDC3PAX/QyW3/fD/wDxNdrXy/rd7d3XgnWfO1Oa/tLrRbW/h+0W0UTxMb5YyPkHoh796+oKAMDXvG3hzwvcxW2tarDZzSp5iI6sdy5xngHuKyf+FueAv+hktv8Avh//AImsP4nx68+sWR0mLXHi+z/OdOsYZ13bj1L8g+wrhHj8YxxtI8Pi5UUEsTpFrwB+NAHq/wDwtzwF/wBDJbf98P8A/E12tfL+t3t3deCdZ87U5r+0utFtb+H7RbRRPExvljI+QeiHv3r6goAwNe8beHPC9zFba1qsNnNKnmIjqx3LnGeAe4rJ/wCFueAv+hktv++H/wDiaw/ifHrz6xZHSYtceL7P8506xhnXduPUvyD7CuEePxjHG0jw+LlRQSxOkWvAH40Aer/8Lc8Bf9DJbf8AfD//ABNdrXy/rd7d3XgnWfO1Oa/tLrRbW/h+0W0UTxMb5YyPkHoh796+oKAMDXvG3hzwvcxW2tarDZzSp5iI6sdy5xngHuKyf+FueAv+hktv++H/APiaw/ifHrz6xZHSYtceL7P8506xhnXduPUvyD7CuEePxjHG0jw+LlRQSxOkWvAH40Aer/8AC3PAX/QyW3/fD/8AxNdrXy/rd7d3XgnWfO1Oa/tLrRbW/h+0W0UTxMb5YyPkHoh796+oKAMDXvG3hzwvcxW2tarDZzSp5iI6sdy5xngHuKyf+FueAv8AoZLb/vh//iaw/ifHrz6xZHSYtceL7P8AOdOsYZ13bj1L8g+wrhHj8YxxtI8Pi5UUEsTpFrwB+NAHq/8AwtzwF/0Mlt/3w/8A8TXa18v63e3d14J1nztTmv7S60W1v4ftFtFE8TG+WMj5B6Ie/evqCgDA17xt4c8L3MVtrWqw2c0qeYiOrHcucZ4B7isn/hbngL/oZLb/AL4f/wCJrD+J8evPrFkdJi1x4vs/znTrGGdd249S/IPsK4R4/GMcbSPD4uVFBLE6Ra8AfjQB6v8A8Lc8Bf8AQyW3/fD/APxNdrXy/rd7d3XgnWfO1Oa/tLrRbW/h+0W0UTxMb5YyPkHoh796+oKAPmSiiigAooooAKKKKACiiigD6bqpqn/IJvf+uD/+gmrdFAHyre/8k7l/7FS0/wDTo1fVVFFABVTVP+QTe/8AXB//AEE1booA+Vb3/kncv/YqWn/p0avqqiigAqpqn/IJvf8Arg//AKCat0UAfKt7/wAk7l/7FS0/9OjV9VUUUAFVNU/5BN7/ANcH/wDQTVuigD5Vvf8Akncv/YqWn/p0avqqiigAqpqn/IJvf+uD/wDoJq3RQB8q3v8AyTuX/sVLT/06NX1VRRQAVU1T/kE3v/XB/wD0E1booA+Vb3/kncv/AGKlp/6dGr6qoooAKqap/wAgm9/64P8A+gmrdFAHyre/8k7l/wCxUtP/AE6NX1VRRQAVU1T/AJBN7/1wf/0E1booA+Vb3/kncv8A2Klp/wCnRq+qqKKACqmqf8gm9/64P/6Cat0UAfKt7/yTuX/sVLT/ANOjV9VUUUAfNevR+HbvWktr2aSw1QKGhvEJiJ9g/Q/Q/hVa/wBP03Tkjn8Va5LqO3/U27jaren7tfvH3PHrXW3lja6jbtb3lvHPEeqyLkVnaX4W0fR5TNaWg87tJIS7KOwBPQduK+Ep4qMYJOUtOmn4PePpqfaVMNKU20lr6/itpfgYdhp+m6ikk/hXXJdO3f663QblX1/dt90+449Ks6DH4dtNae2sppL/AFQqWmvHJlI9i/QfQfjWnqnhbR9YlE13aDzu8kZKMw7gkdR25rRs7G1063W3s7eOCIdFjXApVMVGUGlKWvp+L3l+AU8NKM02lp6/gto/ic3r0fh271pLa9mksNUChobxCYifYP0P0P4VWv8AT9N05I5/FWuS6jt/1Nu42q3p+7X7x9zx611t5Y2uo27W95bxzxHqsi5FZ2l+FtH0eUzWloPO7SSEuyjsAT0HbinTxUYwScpadNPwe8fTUKmGlKbaS19fxW0vwMOw0/TdRSSfwrrkunbv9dboNyr6/u2+6fccelWdBj8O2mtPbWU0l/qhUtNeOTKR7F+g+g/GtPVPC2j6xKJru0Hnd5IyUZh3BI6jtzWjZ2Nrp1utvZ28cEQ6LGuBSqYqMoNKUtfT8XvL8Ap4aUZptLT1/BbR/E5vXo/Dt3rSW17NJYaoFDQ3iExE+wfofofwqtf6fpunJHP4q1yXUdv+pt3G1W9P3a/ePuePWutvLG11G3a3vLeOeI9VkXIrO0vwto+jyma0tB53aSQl2UdgCeg7cU6eKjGCTlLTpp+D3j6ahUw0pTbSWvr+K2l+Bh2Gn6bqKST+Fdcl07d/rrdBuVfX9233T7jj0qzoMfh201p7aymkv9UKlprxyZSPYv0H0H41p6p4W0fWJRNd2g87vJGSjMO4JHUdua0bOxtdOt1t7O3jgiHRY1wKVTFRlBpSlr6fi95fgFPDSjNNpaev4LaP4m18R5tJl15bLWvEGp30MiKIfC+kRkSztjkyMpyVOc4O3pxmuckttK0q8guJ9K1X4bajIFW3voHE9nKP4Vmx8ue5Vse5r0LxBpPivUfEU0ehDS9FtJYlW41nyhLdyj+4q4GAP9o+4Pas248D+KNBhkbw/wCIZNZglH+laX4hPnR3BP3ir4ypPPHTJ5r7w+LOPjttK1W8nuINK1X4k6jGGW4vrhxBZxD+JYc/LnuFXPsa6P4cTaTFrzWWi+INTsYY0YTeF9XjJlgbHBjZjkKMZwN3XnFXbfwP4o16GNvEHiGTRoIh/oul+Hj5MduR90s+MsRxx0yOK0vD+k+K9O8RQx66NL1q0iiZbfWfKEV3EP7jLg5B/wBk+5PagDt6qap/yCb3/rg//oJq3RQB8q3v/JO5f+xUtP8A06NX1VRRQAVU1T/kE3v/AFwf/wBBNW6KAPlW9/5J3L/2Klp/6dGr6qoooA828cW8Wg+ONC8QLGssGruND1K0xk3CSZ2Nt7lTnPU44rj7mO40rQdSgt51k1H4e6gs1lcO/EtnKM+SzeuzKkD+6or0LVvD+saj48OuyQQS2mj2D/2RbtJxLduDuZ/7oAAX8QR3rAh+HGrS6Doei3rRyQ3l8+qeJZy4LTyZDLFj+JS2AT/sZ70AZkukW2pa7q3hmIMmleLNOGuWQYYaxuhglmHVQTtJPr8o71FpPiKcz+DPHW0m41KT+wdViTn7S24hJkA4bDKSSM8HHaug1Dwj4nu7bxRqEQt4ta1iZbC3bzeLTTwduVP94gsxAxyQeoxWlp/geWDxnpcskUaaB4fsFh0uLcCXnYYeRh6gDHPcgjvQBS8cW8Wg+ONC8QLGssGruND1K0xk3CSZ2Nt7lTnPU44rj7mO40rQdSgt51k1H4e6gs1lcO/EtnKM+SzeuzKkD+6or0LVvD+saj48OuyQQS2mj2D/ANkW7ScS3bg7mf8AugABfxBHesCH4catLoOh6LetHJDeXz6p4lnLgtPJkMsWP4lLYBP+xnvQBmS6RbalrureGYgyaV4s04a5ZBhhrG6GCWYdVBO0k+vyjvUWk+IpzP4M8dbSbjUpP7B1WJOftLbiEmQDhsMpJIzwcdq6DUPCPie7tvFGoRC3i1rWJlsLdvN4tNPB25U/3iCzEDHJB6jFaWn+B5YPGelyyRRpoHh+wWHS4twJedhh5GHqAMc9yCO9AFLxxbxaD440LxAsaywau40PUrTGTcJJnY23uVOc9TjiuPuY7jStB1KC3nWTUfh7qCzWVw78S2coz5LN67MqQP7qivQtW8P6xqPjw67JBBLaaPYP/ZFu0nEt24O5n/ugABfxBHesCH4catLoOh6LetHJDeXz6p4lnLgtPJkMsWP4lLYBP+xnvQBmS6RbalrureGYgyaV4s04a5ZBhhrG6GCWYdVBO0k+vyjvUWk+IpzP4M8dbSbjUpP7B1WJOftLbiEmQDhsMpJIzwcdq6DUPCPie7tvFGoRC3i1rWJlsLdvN4tNPB25U/3iCzEDHJB6jFaWn+B5YPGelyyRRpoHh+wWHS4twJedhh5GHqAMc9yCO9AFLxxbxaD440LxAsaywau40PUrTGTcJJnY23uVOc9TjiuPuY7jStB1KC3nWTUfh7qCzWVw78S2coz5LN67MqQP7qivQtW8P6xqPjw67JBBLaaPYP8A2RbtJxLduDuZ/wC6AAF/EEd6wIfhxq0ug6Hot60ckN5fPqniWcuC08mQyxY/iUtgE/7Ge9AGZLpFtqWu6t4ZiDJpXizThrlkGGGsboYJZh1UE7ST6/KO9RaT4inM/gzx1tJuNSk/sHVYk5+0tuISZAOGwykkjPBx2roNQ8I+J7u28UahELeLWtYmWwt283i008HblT/eILMQMckHqMVpaf4Hlg8Z6XLJFGmgeH7BYdLi3Al52GHkYeoAxz3II70Ad5VTVP8AkE3v/XB//QTVuigD5Vvf+Sdy/wDYqWn/AKdGr6qoooAKqap/yCb3/rg//oJq3RQB8q3v/JO5f+xUtP8A06NX1VRRQAVU1T/kE3v/AFwf/wBBNW6KAPlW9/5J3L/2Klp/6dGr6qoooAKqap/yCb3/AK4P/wCgmrdFAHyre/8AJO5f+xUtP/To1fVVFFABVTVP+QTe/wDXB/8A0E1booA+Vb3/AJJ3L/2Klp/6dGr6qoooAKqap/yCb3/rg/8A6Cat0UAfKt7/AMk7l/7FS0/9OjV9VUUUAfMlFFFABRRRQAUUUUAFFFFAHvmveNvDnhe5itta1WGzmlTzER1Y7lzjPAPcVk/8Lc8Bf9DJbf8AfD//ABNYfxPj159YsjpMWuPF9n+c6dYwzru3HqX5B9hXCPH4xjjaR4fFyooJYnSLXgD8aAPV/wDhbngL/oZLb/vh/wD4mu1r5f1u9u7rwTrPnanNf2l1otrfw/aLaKJ4mN8sZHyD0Q9+9fUFAGBr3jbw54XuYrbWtVhs5pU8xEdWO5c4zwD3FZP/AAtzwF/0Mlt/3w//AMTWH8T49efWLI6TFrjxfZ/nOnWMM67tx6l+QfYVwjx+MY42keHxcqKCWJ0i14A/GgD1f/hbngL/AKGS2/74f/4mu1r5f1u9u7rwTrPnanNf2l1otrfw/aLaKJ4mN8sZHyD0Q9+9fUFAGBr3jbw54XuYrbWtVhs5pU8xEdWO5c4zwD3FZP8AwtzwF/0Mlt/3w/8A8TWH8T49efWLI6TFrjxfZ/nOnWMM67tx6l+QfYVwjx+MY42keHxcqKCWJ0i14A/GgD1f/hbngL/oZLb/AL4f/wCJrta+X9bvbu68E6z52pzX9pdaLa38P2i2iieJjfLGR8g9EPfvX1BQBga9428OeF7mK21rVYbOaVPMRHVjuXOM8A9xWT/wtzwF/wBDJbf98P8A/E1h/E+PXn1iyOkxa48X2f5zp1jDOu7cepfkH2FcI8fjGONpHh8XKiglidIteAPxoA9X/wCFueAv+hktv++H/wDia7Wvl/W727uvBOs+dqc1/aXWi2t/D9otooniY3yxkfIPRD3719QUAYGveNvDnhe5itta1WGzmlTzER1Y7lzjPAPcVk/8Lc8Bf9DJbf8AfD//ABNYfxPj159YsjpMWuPF9n+c6dYwzru3HqX5B9hXCPH4xjjaR4fFyooJYnSLXgD8aAPV/wDhbngL/oZLb/vh/wD4mu1r5f1u9u7rwTrPnanNf2l1otrfw/aLaKJ4mN8sZHyD0Q9+9fUFAGBr3jbw54XuYrbWtVhs5pU8xEdWO5c4zwD3FZP/AAtzwF/0Mlt/3w//AMTWH8T49efWLI6TFrjxfZ/nOnWMM67tx6l+QfYVwjx+MY42keHxcqKCWJ0i14A/GgD1f/hbngL/AKGS2/74f/4mu1r5f1u9u7rwTrPnanNf2l1otrfw/aLaKJ4mN8sZHyD0Q9+9fUFAGBr3jbw54XuYrbWtVhs5pU8xEdWO5c4zwD3FZP8AwtzwF/0Mlt/3w/8A8TWH8T49efWLI6TFrjxfZ/nOnWMM67tx6l+QfYVwjx+MY42keHxcqKCWJ0i14A/GgD1f/hbngL/oZLb/AL4f/wCJrta+X9bvbu68E6z52pzX9pdaLa38P2i2iieJjfLGR8g9EPfvX1BQBga9428OeF7mK21rVYbOaVPMRHVjuXOM8A9xWT/wtzwF/wBDJbf98P8A/E1h/E+PXn1iyOkxa48X2f5zp1jDOu7cepfkH2FcI8fjGONpHh8XKiglidIteAPxoA9X/wCFueAv+hktv++H/wDia7Wvl/W727uvBOs+dqc1/aXWi2t/D9otooniY3yxkfIPRD3719QUAYGveNvDnhe5itta1WGzmlTzER1Y7lzjPAPcVk/8Lc8Bf9DJbf8AfD//ABNYfxPj159YsjpMWuPF9n+c6dYwzru3HqX5B9hXCPH4xjjaR4fFyooJYnSLXgD8aAPV/wDhbngL/oZLb/vh/wD4mu1r5f1u9u7rwTrPnanNf2l1otrfw/aLaKJ4mN8sZHyD0Q9+9fUFAHi9FYGo2FxPqkk+k60YL9EXzLWRhJEy9tydVz6iqctp4i1NGOrX8Gk2KD94LN/nkA6nefuj/Jr89jh4ySfOl99/u6/L8D7qVeSbXK391vv6fP8AE6uiuUitPEWmIp0m/g1axcfuxeP88YPQ7x94f5FXNOsLiDVI59W1oz37o3l2sbCOJV77U6tj1NEsPGKb50/vv93T5/iEa8m0uVr7rff1+X4G/RWBqNhcT6pJPpOtGC/RF8y1kYSRMvbcnVc+oqnLaeItTRjq1/BpNig/eCzf55AOp3n7o/yaI4eMknzpfff7uvy/AJV5Jtcrf3W+/p8/xOrorlIrTxFpiKdJv4NWsXH7sXj/ADxg9DvH3h/kVc06wuINUjn1bWjPfujeXaxsI4lXvtTq2PU0Sw8YpvnT++/3dPn+IRrybS5Wvut9/X5fgb9FYGo2FxPqkk+k60YL9EXzLWRhJEy9tydVz6iqctp4i1NGOrX8Gk2KD94LN/nkA6nefuj/ACaI4eMknzpfff7uvy/AJV5Jtcrf3W+/p8/xOrorlIrTxFpiKdJv4NWsXH7sXj/PGD0O8feH+RVzTrC4g1SOfVtaM9+6N5drGwjiVe+1OrY9TRLDxim+dP77/d0+f4hGvJtLla+6339fl+B6X441DxJBPJHFq+l+G9ARB5urXDiSdyRysaHAB7c89x6Vxvh3VpTdN/wgvjqXVLgndLpHiQsGue++JyAwyMkAZHPOK6Dxdp8F343Mun+EbjW9ajhTbc6k5XTrQdmG7hm6EhRnjqDmsTV4tU1KyMvibRdJ8Y6UjEG+8PNi6sWHVVAOWCnPAOeMt6V+hHwpF4i1aUXS/wDCdeOpdLuAd0WkeGyxa2775XALHAwSDgccZrsvA+oeJJ5445dX0vxJoDofK1a3cRzoQOFkQZBPbjnufSuS0iLVNNshL4Z0XSfB2lOwAvvELZur5j0VgTlQxxwTnnK+lbfhHT4LTxuJdQ8I3Gia1JC+6501y2nXY7sdvCt1IDDPPUnFAHX69428OeF7mK21rVYbOaVPMRHVjuXOM8A9xWT/AMLc8Bf9DJbf98P/APE1h/E+PXn1iyOkxa48X2f5zp1jDOu7cepfkH2FcI8fjGONpHh8XKiglidIteAPxoA9X/4W54C/6GS2/wC+H/8Aia7Wvl/W727uvBOs+dqc1/aXWi2t/D9otooniY3yxkfIPRD3719QUAYGveNvDnhe5itta1WGzmlTzER1Y7lzjPAPcVk/8Lc8Bf8AQyW3/fD/APxNYfxPj159YsjpMWuPF9n+c6dYwzru3HqX5B9hXCPH4xjjaR4fFyooJYnSLXgD8aAPV/8AhbngL/oZLb/vh/8A4mu1r5f1u9u7rwTrPnanNf2l1otrfw/aLaKJ4mN8sZHyD0Q9+9fUFAGBr3jbw54XuYrbWtVhs5pU8xEdWO5c4zwD3FZP/C3PAX/QyW3/AHw//wATWH8T49efWLI6TFrjxfZ/nOnWMM67tx6l+QfYVwjx+MY42keHxcqKCWJ0i14A/GgD1f8A4W54C/6GS2/74f8A+Jrta+X9bvbu68E6z52pzX9pdaLa38P2i2iieJjfLGR8g9EPfvX1BQBga9428OeF7mK21rVYbOaVPMRHVjuXOM8A9xWT/wALc8Bf9DJbf98P/wDE1h/E+PXn1iyOkxa48X2f5zp1jDOu7cepfkH2FcI8fjGONpHh8XKiglidIteAPxoA9X/4W54C/wChktv++H/+Jrta+X9bvbu68E6z52pzX9pdaLa38P2i2iieJjfLGR8g9EPfvX1BQBga9428OeF7mK21rVYbOaVPMRHVjuXOM8A9xWT/AMLc8Bf9DJbf98P/APE1h/E+PXn1iyOkxa48X2f5zp1jDOu7cepfkH2FcI8fjGONpHh8XKiglidIteAPxoA9X/4W54C/6GS2/wC+H/8Aia7Wvl/W727uvBOs+dqc1/aXWi2t/D9otooniY3yxkfIPRD3719QUAYGveNvDnhe5itta1WGzmlTzER1Y7lzjPAPcVk/8Lc8Bf8AQyW3/fD/APxNYfxPj159YsjpMWuPF9n+c6dYwzru3HqX5B9hXCPH4xjjaR4fFyooJYnSLXgD8aAPV/8AhbngL/oZLb/vh/8A4mu1r5f1u9u7rwTrPnanNf2l1otrfw/aLaKJ4mN8sZHyD0Q9+9fUFAGBr3jbw54XuYrbWtVhs5pU8xEdWO5c4zwD3FZP/C3PAX/QyW3/AHw//wATWH8T49efWLI6TFrjxfZ/nOnWMM67tx6l+QfYVwjx+MY42keHxcqKCWJ0i14A/GgD1f8A4W54C/6GS2/74f8A+Jrta+X9bvbu68E6z52pzX9pdaLa38P2i2iieJjfLGR8g9EPfvX1BQBga9428OeF7mK21rVYbOaVPMRHVjuXOM8A9xWT/wALc8Bf9DJbf98P/wDE1h/E+PXn1iyOkxa48X2f5zp1jDOu7cepfkH2FcI8fjGONpHh8XKiglidIteAPxoA9X/4W54C/wChktv++H/+Jrta+X9bvbu68E6z52pzX9pdaLa38P2i2iieJjfLGR8g9EPfvX1BQBga9428OeF7mK21rVYbOaVPMRHVjuXOM8A9xWT/AMLc8Bf9DJbf98P/APE1h/E+PXn1iyOkxa48X2f5zp1jDOu7cepfkH2FcI8fjGONpHh8XKiglidIteAPxoA9X/4W54C/6GS2/wC+H/8Aia7Wvl/W727uvBOs+dqc1/aXWi2t/D9otooniY3yxkfIPRD3719QUAYGveNvDnhe5itta1WGzmlTzER1Y7lzjPAPcVk/8Lc8Bf8AQyW3/fD/APxNYfxPj159YsjpMWuPF9n+c6dYwzru3HqX5B9hXCPH4xjjaR4fFyooJYnSLXgD8aAPV/8AhbngL/oZLb/vh/8A4mu1r5f1u9u7rwTrPnanNf2l1otrfw/aLaKJ4mN8sZHyD0Q9+9fUFAGBr3jbw54XuYrbWtVhs5pU8xEdWO5c4zwD3FZP/C3PAX/QyW3/AHw//wATWH8T49efWLI6TFrjxfZ/nOnWMM67tx6l+QfYVwjx+MY42keHxcqKCWJ0i14A/GgD1f8A4W54C/6GS2/74f8A+Jrta+X9bvbu68E6z52pzX9pdaLa38P2i2iieJjfLGR8g9EPfvX1BQBga9428OeF7mK21rVYbOaVPMRHVjuXOM8A9xWT/wALc8Bf9DJbf98P/wDE1h/E+PXn1iyOkxa48X2f5zp1jDOu7cepfkH2FcI8fjGONpHh8XKiglidIteAPxoA9X/4W54C/wChktv++H/+Jrta+X9bvbu68E6z52pzX9pdaLa38P2i2iieJjfLGR8g9EPfvX1BQB8yUUUUAFFFFABRRRQAUUUUAfTdVNU/5BN7/wBcH/8AQTVuigD5Vvf+Sdy/9ipaf+nRq+qqKKACqmqf8gm9/wCuD/8AoJq3RQB8q3v/ACTuX/sVLT/06NX1VRRQAVU1T/kE3v8A1wf/ANBNW6KAPlW9/wCSdy/9ipaf+nRq+qqKKACqmqf8gm9/64P/AOgmrdFAHyre/wDJO5f+xUtP/To1fVVFFABVTVP+QTe/9cH/APQTVuigD5Vvf+Sdy/8AYqWn/p0avqqiigAqpqn/ACCb3/rg/wD6Cat0UAfKt7/yTuX/ALFS0/8ATo1fVVFFABVTVP8AkE3v/XB//QTVuigD5Vvf+Sdy/wDYqWn/AKdGr6qoooAKqap/yCb3/rg//oJq3RQB8q3v/JO5f+xUtP8A06NX1VRRQAVU1T/kE3v/AFwf/wBBNW6KAPlW9/5J3L/2Klp/6dGr6qoooA+a9ej8O3etJbXs0lhqgUNDeITET7B+h+h/Cq1/p+m6ckc/irXJdR2/6m3cbVb0/dr94+549a628sbXUbdre8t454j1WRcis7S/C2j6PKZrS0HndpJCXZR2AJ6DtxXwlPFRjBJylp00/B7x9NT7SphpSm2ktfX8VtL8DDsNP03UUkn8K65Lp27/AF1ug3Kvr+7b7p9xx6VZ0GPw7aa09tZTSX+qFS0145MpHsX6D6D8a09U8LaPrEomu7Qed3kjJRmHcEjqO3NaNnY2unW629nbxwRDosa4FKpioyg0pS19Pxe8vwCnhpRmm0tPX8FtH8Tm9ej8O3etJbXs0lhqgUNDeITET7B+h+h/Cq1/p+m6ckc/irXJdR2/6m3cbVb0/dr94+549a628sbXUbdre8t454j1WRcis7S/C2j6PKZrS0HndpJCXZR2AJ6DtxTp4qMYJOUtOmn4PePpqFTDSlNtJa+v4raX4GHYafpuopJP4V1yXTt3+ut0G5V9f3bfdPuOPSrOgx+HbTWntrKaS/1QqWmvHJlI9i/QfQfjWnqnhbR9YlE13aDzu8kZKMw7gkdR25rRs7G1063W3s7eOCIdFjXApVMVGUGlKWvp+L3l+AU8NKM02lp6/gto/ic3r0fh271pLa9mksNUChobxCYifYP0P0P4VWv9P03Tkjn8Va5LqO3/AFNu42q3p+7X7x9zx611t5Y2uo27W95bxzxHqsi5FZ2l+FtH0eUzWloPO7SSEuyjsAT0HbinTxUYwScpadNPwe8fTUKmGlKbaS19fxW0vwMOw0/TdRSSfwrrkunbv9dboNyr6/u2+6fccelWdBj8O2mtPbWU0l/qhUtNeOTKR7F+g+g/GtPVPC2j6xKJru0Hnd5IyUZh3BI6jtzWjZ2Nrp1utvZ28cEQ6LGuBSqYqMoNKUtfT8XvL8Ap4aUZptLT1/BbR/E2viPNpMuvLZa14g1O+hkRRD4X0iMiWdscmRlOSpznB29OM1zkltpWlXkFxPpWq/DbUZAq299A4ns5R/Cs2Plz3Ktj3NeheINJ8V6j4imj0IaXotpLEq3Gs+UJbuUf3FXAwB/tH3B7Vm3HgfxRoMMjeH/EMmswSj/StL8Qnzo7gn7xV8ZUnnjpk8194fFnHx22lareT3EGlar8SdRjDLcX1w4gs4h/EsOflz3Crn2NdH8OJtJi15rLRfEGp2MMaMJvC+rxkywNjgxsxyFGM4G7rzirtv4H8Ua9DG3iDxDJo0EQ/wBF0vw8fJjtyPulnxliOOOmRxWl4f0nxXp3iKGPXRpetWkUTLb6z5Qiu4h/cZcHIP8Asn3J7UAdvVTVP+QTe/8AXB//AEE1booA+Vb3/kncv/YqWn/p0avqqiigAqpqn/IJvf8Arg//AKCat0UAfKt7/wAk7l/7FS0/9OjV9VUUUAFVNU/5BN7/ANcH/wDQTVuigD5Vvf8Akncv/YqWn/p0avqqiigAqpqn/IJvf+uD/wDoJq3RQB8q3v8AyTuX/sVLT/06NX1VRRQAVU1T/kE3v/XB/wD0E1booA+Vb3/kncv/AGKlp/6dGr6qoooAKqap/wAgm9/64P8A+gmrdFAHyre/8k7l/wCxUtP/AE6NX1VRRQAVU1T/AJBN7/1wf/0E1booA+Vb3/kncv8A2Klp/wCnRq+qqKKACqmqf8gm9/64P/6Cat0UAfKt7/yTuX/sVLT/ANOjV9VUUUAFVNU/5BN7/wBcH/8AQTVuigD5Vvf+Sdy/9ipaf+nRq+qqKKACqmqf8gm9/wCuD/8AoJq3RQB8q3v/ACTuX/sVLT/06NX1VRRQAVU1T/kE3v8A1wf/ANBNW6KAPlW9/wCSdy/9ipaf+nRq+qqKKACqmqf8gm9/64P/AOgmrdFAHyre/wDJO5f+xUtP/To1fVVFFAHzJRRRQAUUUUAFFFFABRRRQB75r3jbw54XuYrbWtVhs5pU8xEdWO5c4zwD3FZP/C3PAX/QyW3/AHw//wATWH8T49efWLI6TFrjxfZ/nOnWMM67tx6l+QfYVwjx+MY42keHxcqKCWJ0i14A/GgD1f8A4W54C/6GS2/74f8A+Jrta+X9bvbu68E6z52pzX9pdaLa38P2i2iieJjfLGR8g9EPfvX1BQBga9428OeF7mK21rVYbOaVPMRHVjuXOM8A9xWT/wALc8Bf9DJbf98P/wDE1h/E+PXn1iyOkxa48X2f5zp1jDOu7cepfkH2FcI8fjGONpHh8XKiglidIteAPxoA9X/4W54C/wChktv++H/+Jrta+X9bvbu68E6z52pzX9pdaLa38P2i2iieJjfLGR8g9EPfvX1BQBga9428OeF7mK21rVYbOaVPMRHVjuXOM8A9xWT/AMLc8Bf9DJbf98P/APE1h/E+PXn1iyOkxa48X2f5zp1jDOu7cepfkH2FcI8fjGONpHh8XKiglidIteAPxoA9X/4W54C/6GS2/wC+H/8Aia7Wvl/W727uvBOs+dqc1/aXWi2t/D9otooniY3yxkfIPRD3719QUAYGveNvDnhe5itta1WGzmlTzER1Y7lzjPAPcVk/8Lc8Bf8AQyW3/fD/APxNYfxPj159YsjpMWuPF9n+c6dYwzru3HqX5B9hXCPH4xjjaR4fFyooJYnSLXgD8aAPV/8AhbngL/oZLb/vh/8A4mu1r5f1u9u7rwTrPnanNf2l1otrfw/aLaKJ4mN8sZHyD0Q9+9fUFAGBr3jbw54XuYrbWtVhs5pU8xEdWO5c4zwD3FZP/C3PAX/QyW3/AHw//wATWH8T49efWLI6TFrjxfZ/nOnWMM67tx6l+QfYVwjx+MY42keHxcqKCWJ0i14A/GgD1f8A4W54C/6GS2/74f8A+Jrta+X9bvbu68E6z52pzX9pdaLa38P2i2iieJjfLGR8g9EPfvX1BQBga9428OeF7mK21rVYbOaVPMRHVjuXOM8A9xWT/wALc8Bf9DJbf98P/wDE1h/E+PXn1iyOkxa48X2f5zp1jDOu7cepfkH2FcI8fjGONpHh8XKiglidIteAPxoA9X/4W54C/wChktv++H/+Jrta+X9bvbu68E6z52pzX9pdaLa38P2i2iieJjfLGR8g9EPfvX1BQBga9428OeF7mK21rVYbOaVPMRHVjuXOM8A9xWT/AMLc8Bf9DJbf98P/APE1h/E+PXn1iyOkxa48X2f5zp1jDOu7cepfkH2FcI8fjGONpHh8XKiglidIteAPxoA9X/4W54C/6GS2/wC+H/8Aia7Wvl/W727uvBOs+dqc1/aXWi2t/D9otooniY3yxkfIPRD3719QUAYGveNvDnhe5itta1WGzmlTzER1Y7lzjPAPcVk/8Lc8Bf8AQyW3/fD/APxNYfxPj159YsjpMWuPF9n+c6dYwzru3HqX5B9hXCPH4xjjaR4fFyooJYnSLXgD8aAPV/8AhbngL/oZLb/vh/8A4mu1r5f1u9u7rwTrPnanNf2l1otrfw/aLaKJ4mN8sZHyD0Q9+9fUFAGBr3jbw54XuYrbWtVhs5pU8xEdWO5c4zwD3FZP/C3PAX/QyW3/AHw//wATWH8T49efWLI6TFrjxfZ/nOnWMM67tx6l+QfYVwjx+MY42keHxcqKCWJ0i14A/GgD1f8A4W54C/6GS2/74f8A+Jrta+X9bvbu68E6z52pzX9pdaLa38P2i2iieJjfLGR8g9EPfvX1BQB4vRWBqNhcT6pJPpOtGC/RF8y1kYSRMvbcnVc+oqnLaeItTRjq1/BpNig/eCzf55AOp3n7o/ya/PY4eMknzpfff7uvy/A+6lXkm1yt/db7+nz/ABOrorlIrTxFpiKdJv4NWsXH7sXj/PGD0O8feH+RVzTrC4g1SOfVtaM9+6N5drGwjiVe+1OrY9TRLDxim+dP77/d0+f4hGvJtLla+6339fl+Bv0VgajYXE+qST6TrRgv0RfMtZGEkTL23J1XPqKpy2niLU0Y6tfwaTYoP3gs3+eQDqd5+6P8miOHjJJ86X33+7r8vwCVeSbXK391vv6fP8Tq6K5SK08RaYinSb+DVrFx+7F4/wA8YPQ7x94f5FXNOsLiDVI59W1oz37o3l2sbCOJV77U6tj1NEsPGKb50/vv93T5/iEa8m0uVr7rff1+X4G/RWBqNhcT6pJPpOtGC/RF8y1kYSRMvbcnVc+oqnLaeItTRjq1/BpNig/eCzf55AOp3n7o/wAmiOHjJJ86X33+7r8vwCVeSbXK391vv6fP8Tq6K5SK08RaYinSb+DVrFx+7F4/zxg9DvH3h/kVc06wuINUjn1bWjPfujeXaxsI4lXvtTq2PU0Sw8YpvnT++/3dPn+IRrybS5Wvut9/X5fgel+ONQ8SQTyRxavpfhvQEQebq1w4knckcrGhwAe3PPcelcb4d1aU3Tf8IL46l1S4J3S6R4kLBrnvvicgMMjJAGRzziug8XafBd+NzLp/hG41vWo4U23OpOV060HZhu4ZuhIUZ46g5rE1eLVNSsjL4m0XSfGOlIxBvvDzYurFh1VQDlgpzwDnjLelfoR8KReItWlF0v8AwnXjqXS7gHdFpHhssWtu++VwCxwMEg4HHGa7LwPqHiSeeOOXV9L8SaA6HytWt3Ec6EDhZEGQT2457n0rktIi1TTbIS+GdF0nwdpTsAL7xC2bq+Y9FYE5UMccE55yvpW34R0+C08biXUPCNxomtSQvuudNctp12O7HbwrdSAwzz1JxQB1+veNvDnhe5itta1WGzmlTzER1Y7lzjPAPcVk/wDC3PAX/QyW3/fD/wDxNYfxPj159YsjpMWuPF9n+c6dYwzru3HqX5B9hXCPH4xjjaR4fFyooJYnSLXgD8aAPV/+FueAv+hktv8Avh//AImu1r5f1u9u7rwTrPnanNf2l1otrfw/aLaKJ4mN8sZHyD0Q9+9fUFAGBr3jbw54XuYrbWtVhs5pU8xEdWO5c4zwD3FZP/C3PAX/AEMlt/3w/wD8TWH8T49efWLI6TFrjxfZ/nOnWMM67tx6l+QfYVwjx+MY42keHxcqKCWJ0i14A/GgD1f/AIW54C/6GS2/74f/AOJrta+X9bvbu68E6z52pzX9pdaLa38P2i2iieJjfLGR8g9EPfvX1BQBga9428OeF7mK21rVYbOaVPMRHVjuXOM8A9xWT/wtzwF/0Mlt/wB8P/8AE1h/E+PXn1iyOkxa48X2f5zp1jDOu7cepfkH2FcI8fjGONpHh8XKiglidIteAPxoA9X/AOFueAv+hktv++H/APia7Wvl/W727uvBOs+dqc1/aXWi2t/D9otooniY3yxkfIPRD3719QUAYGveNvDnhe5itta1WGzmlTzER1Y7lzjPAPcVk/8AC3PAX/QyW3/fD/8AxNYfxPj159YsjpMWuPF9n+c6dYwzru3HqX5B9hXCPH4xjjaR4fFyooJYnSLXgD8aAPV/+FueAv8AoZLb/vh//ia7Wvl/W727uvBOs+dqc1/aXWi2t/D9otooniY3yxkfIPRD3719QUAYGveNvDnhe5itta1WGzmlTzER1Y7lzjPAPcVk/wDC3PAX/QyW3/fD/wDxNYfxPj159YsjpMWuPF9n+c6dYwzru3HqX5B9hXCPH4xjjaR4fFyooJYnSLXgD8aAPV/+FueAv+hktv8Avh//AImu1r5f1u9u7rwTrPnanNf2l1otrfw/aLaKJ4mN8sZHyD0Q9+9fUFAGBr3jbw54XuYrbWtVhs5pU8xEdWO5c4zwD3FZP/C3PAX/AEMlt/3w/wD8TWH8T49efWLI6TFrjxfZ/nOnWMM67tx6l+QfYVwjx+MY42keHxcqKCWJ0i14A/GgD1f/AIW54C/6GS2/74f/AOJrta+X9bvbu68E6z52pzX9pdaLa38P2i2iieJjfLGR8g9EPfvX1BQBga9428OeF7mK21rVYbOaVPMRHVjuXOM8A9xWT/wtzwF/0Mlt/wB8P/8AE1h/E+PXn1iyOkxa48X2f5zp1jDOu7cepfkH2FcI8fjGONpHh8XKiglidIteAPxoA9X/AOFueAv+hktv++H/APia7Wvl/W727uvBOs+dqc1/aXWi2t/D9otooniY3yxkfIPRD3719QUAYGveNvDnhe5itta1WGzmlTzER1Y7lzjPAPcVk/8AC3PAX/QyW3/fD/8AxNYfxPj159YsjpMWuPF9n+c6dYwzru3HqX5B9hXCPH4xjjaR4fFyooJYnSLXgD8aAPV/+FueAv8AoZLb/vh//ia7Wvl/W727uvBOs+dqc1/aXWi2t/D9otooniY3yxkfIPRD3719QUAYGveNvDnhe5itta1WGzmlTzER1Y7lzjPAPcVk/wDC3PAX/QyW3/fD/wDxNYfxPj159YsjpMWuPF9n+c6dYwzru3HqX5B9hXCPH4xjjaR4fFyooJYnSLXgD8aAPV/+FueAv+hktv8Avh//AImu1r5f1u9u7rwTrPnanNf2l1otrfw/aLaKJ4mN8sZHyD0Q9+9fUFAGBr3jbw54XuYrbWtVhs5pU8xEdWO5c4zwD3FZP/C3PAX/AEMlt/3w/wD8TWH8T49efWLI6TFrjxfZ/nOnWMM67tx6l+QfYVwjx+MY42keHxcqKCWJ0i14A/GgD1f/AIW54C/6GS2/74f/AOJrta+X9bvbu68E6z52pzX9pdaLa38P2i2iieJjfLGR8g9EPfvX1BQBga9428OeF7mK21rVYbOaVPMRHVjuXOM8A9xWT/wtzwF/0Mlt/wB8P/8AE1h/E+PXn1iyOkxa48X2f5zp1jDOu7cepfkH2FcI8fjGONpHh8XKiglidIteAPxoA9X/AOFueAv+hktv++H/APia7Wvl/W727uvBOs+dqc1/aXWi2t/D9otooniY3yxkfIPRD3719QUAYGveNvDnhe5itta1WGzmlTzER1Y7lzjPAPcVk/8AC3PAX/QyW3/fD/8AxNYfxPj159YsjpMWuPF9n+c6dYwzru3HqX5B9hXCPH4xjjaR4fFyooJYnSLXgD8aAPV/+FueAv8AoZLb/vh//ia7Wvl/W727uvBOs+dqc1/aXWi2t/D9otooniY3yxkfIPRD3719QUAfMlFFFABRRRQAUUUUAFFFFAH03VTVP+QTe/8AXB//AEE1booA+Vb3/kncv/YqWn/p0avqqiigAqpqn/IJvf8Arg//AKCat0UAfKt7/wAk7l/7FS0/9OjV9VUUUAFVNU/5BN7/ANcH/wDQTVuigD5Vvf8Akncv/YqWn/p0avqqiigAqpqn/IJvf+uD/wDoJq3RQB8q3v8AyTuX/sVLT/06NX1VRRQAVU1T/kE3v/XB/wD0E1booA+Vb3/kncv/AGKlp/6dGr6qoooAKqap/wAgm9/64P8A+gmrdFAHyre/8k7l/wCxUtP/AE6NX1VRRQAVU1T/AJBN7/1wf/0E1booA+Vb3/kncv8A2Klp/wCnRq+qqKKACqmqf8gm9/64P/6Cat0UAfKt7/yTuX/sVLT/ANOjV9VUUUAFVNU/5BN7/wBcH/8AQTVuigD5Vvf+Sdy/9ipaf+nRq+qqKKAPmvXo/Dt3rSW17NJYaoFDQ3iExE+wfofofwqtf6fpunJHP4q1yXUdv+pt3G1W9P3a/ePuePWutvLG11G3a3vLeOeI9VkXIrO0vwto+jyma0tB53aSQl2UdgCeg7cV8JTxUYwScpadNPwe8fTU+0qYaUptpLX1/FbS/Aw7DT9N1FJJ/CuuS6du/wBdboNyr6/u2+6fccelWdBj8O2mtPbWU0l/qhUtNeOTKR7F+g+g/GtPVPC2j6xKJru0Hnd5IyUZh3BI6jtzWjZ2Nrp1utvZ28cEQ6LGuBSqYqMoNKUtfT8XvL8Ap4aUZptLT1/BbR/E5vXo/Dt3rSW17NJYaoFDQ3iExE+wfofofwqtf6fpunJHP4q1yXUdv+pt3G1W9P3a/ePuePWutvLG11G3a3vLeOeI9VkXIrO0vwto+jyma0tB53aSQl2UdgCeg7cU6eKjGCTlLTpp+D3j6ahUw0pTbSWvr+K2l+Bh2Gn6bqKST+Fdcl07d/rrdBuVfX9233T7jj0qzoMfh201p7aymkv9UKlprxyZSPYv0H0H41p6p4W0fWJRNd2g87vJGSjMO4JHUdua0bOxtdOt1t7O3jgiHRY1wKVTFRlBpSlr6fi95fgFPDSjNNpaev4LaP4nN69H4du9aS2vZpLDVAoaG8QmIn2D9D9D+FVr/T9N05I5/FWuS6jt/wBTbuNqt6fu1+8fc8etdbeWNrqNu1veW8c8R6rIuRWdpfhbR9HlM1paDzu0khLso7AE9B24p08VGMEnKWnTT8HvH01CphpSm2ktfX8VtL8DDsNP03UUkn8K65Lp27/XW6Dcq+v7tvun3HHpVnQY/DtprT21lNJf6oVLTXjkykexfoPoPxrT1Twto+sSia7tB53eSMlGYdwSOo7c1o2dja6dbrb2dvHBEOixrgUqmKjKDSlLX0/F7y/AKeGlGabS09fwW0fxNr4jzaTLry2WteINTvoZEUQ+F9IjIlnbHJkZTkqc5wdvTjNc5JbaVpV5BcT6Vqvw21GQKtvfQOJ7OUfwrNj5c9yrY9zXoXiDSfFeo+Ipo9CGl6LaSxKtxrPlCW7lH9xVwMAf7R9we1Ztx4H8UaDDI3h/xDJrMEo/0rS/EJ86O4J+8VfGVJ546ZPNfeHxZx8dtpWq3k9xBpWq/EnUYwy3F9cOILOIfxLDn5c9wq59jXR/DibSYteay0XxBqdjDGjCbwvq8ZMsDY4MbMchRjOBu684q7b+B/FGvQxt4g8QyaNBEP8ARdL8PHyY7cj7pZ8ZYjjjpkcVpeH9J8V6d4ihj10aXrVpFEy2+s+UIruIf3GXByD/ALJ9ye1AHb1U1T/kE3v/AFwf/wBBNW6KAPlW9/5J3L/2Klp/6dGr6qoooAKqap/yCb3/AK4P/wCgmrdFAHyre/8AJO5f+xUtP/To1fVVFFABVTVP+QTe/wDXB/8A0E1booA+Vb3/AJJ3L/2Klp/6dGr6qoooAKqap/yCb3/rg/8A6Cat0UAfKt7/AMk7l/7FS0/9OjV9VUUUAFVNU/5BN7/1wf8A9BNW6KAPlW9/5J3L/wBipaf+nRq+qqKKACqmqf8AIJvf+uD/APoJq3RQB8q3v/JO5f8AsVLT/wBOjV9VUUUAFVNU/wCQTe/9cH/9BNW6KAPlW9/5J3L/ANipaf8Ap0avqqiigAqpqn/IJvf+uD/+gmrdFAHyre/8k7l/7FS0/wDTo1fVVFFABVTVP+QTe/8AXB//AEE1booA+Vb3/kncv/YqWn/p0avqqiigAqpqn/IJvf8Arg//AKCat0UAfKt7/wAk7l/7FS0/9OjV9VUUUAFVNU/5BN7/ANcH/wDQTVuigD5Vvf8Akncv/YqWn/p0avqqiigAqpqn/IJvf+uD/wDoJq3RQB8q3v8AyTuX/sVLT/06NX1VRRQB8yUUUUAFFFFABRRRQAUUUUAe+a9428OeF7mK21rVYbOaVPMRHVjuXOM8A9xWT/wtzwF/0Mlt/wB8P/8AE1h/E+PXn1iyOkxa48X2f5zp1jDOu7cepfkH2FcI8fjGONpHh8XKiglidIteAPxoA9X/AOFueAv+hktv++H/APia7Wvl/W727uvBOs+dqc1/aXWi2t/D9otooniY3yxkfIPRD3719QUAYGveNvDnhe5itta1WGzmlTzER1Y7lzjPAPcVk/8AC3PAX/QyW3/fD/8AxNYfxPj159YsjpMWuPF9n+c6dYwzru3HqX5B9hXCPH4xjjaR4fFyooJYnSLXgD8aAPV/+FueAv8AoZLb/vh//ia7Wvl/W727uvBOs+dqc1/aXWi2t/D9otooniY3yxkfIPRD3719QUAYGveNvDnhe5itta1WGzmlTzER1Y7lzjPAPcVk/wDC3PAX/QyW3/fD/wDxNYfxPj159YsjpMWuPF9n+c6dYwzru3HqX5B9hXCPH4xjjaR4fFyooJYnSLXgD8aAPV/+FueAv+hktv8Avh//AImu1r5f1u9u7rwTrPnanNf2l1otrfw/aLaKJ4mN8sZHyD0Q9+9fUFAGBr3jbw54XuYrbWtVhs5pU8xEdWO5c4zwD3FZP/C3PAX/AEMlt/3w/wD8TWH8T49efWLI6TFrjxfZ/nOnWMM67tx6l+QfYVwjx+MY42keHxcqKCWJ0i14A/GgD1f/AIW54C/6GS2/74f/AOJrta+X9bvbu68E6z52pzX9pdaLa38P2i2iieJjfLGR8g9EPfvX1BQBga9428OeF7mK21rVYbOaVPMRHVjuXOM8A9xWT/wtzwF/0Mlt/wB8P/8AE1h/E+PXn1iyOkxa48X2f5zp1jDOu7cepfkH2FcI8fjGONpHh8XKiglidIteAPxoA9X/AOFueAv+hktv++H/APia7Wvl/W727uvBOs+dqc1/aXWi2t/D9otooniY3yxkfIPRD3719QUAYGveNvDnhe5itta1WGzmlTzER1Y7lzjPAPcVk/8AC3PAX/QyW3/fD/8AxNYfxPj159YsjpMWuPF9n+c6dYwzru3HqX5B9hXCPH4xjjaR4fFyooJYnSLXgD8aAPV/+FueAv8AoZLb/vh//ia7Wvl/W727uvBOs+dqc1/aXWi2t/D9otooniY3yxkfIPRD3719QUAYGveNvDnhe5itta1WGzmlTzER1Y7lzjPAPcVk/wDC3PAX/QyW3/fD/wDxNc38W7rU7HULO4tpdWhtRbnfJZ2kEse7ceC0hyDjsK84k17VHtg0GvakspP3J7O2UAf8BBrOpWhT+JnbhMuxWMdqEG/Pp9+x7X/wtzwF/wBDJbf98P8A/E11Vpqthf3FxBaXcM8tvt80RMG2bs4yR34NfMl3q+o39ssF5dtOindyirk+p2gZr034J/8AMc/7d/8A2pXNTxiqVFCK0PaxfDc8Hgp4mtP3lbRbatLf59jute8beHPC9zFba1qsNnNKnmIjqx3LnGeAe4rJ/wCFueAv+hktv++H/wDiaw/ifHrz6xZHSYtceL7P8506xhnXduPUvyD7CuEePxjHG0jw+LlRQSxOkWvAH412nzB6v/wtzwF/0Mlt/wB8P/8AE12tfL+t3t3deCdZ87U5r+0utFtb+H7RbRRPExvljI+QeiHv3r6goAwNe8beHPC9zFba1qsNnNKnmIjqx3LnGeAe4rJ/4W54C/6GS2/74f8A+JrD+J8evPrFkdJi1x4vs/znTrGGdd249S/IPsK4R4/GMcbSPD4uVFBLE6Ra8AfjQB6v/wALc8Bf9DJbf98P/wDE12tfL+t3t3deCdZ87U5r+0utFtb+H7RbRRPExvljI+QeiHv3r6goA8XorA1GwuJ9Ukn0nWjBfoi+ZayMJImXtuTqufUVTltPEWpox1a/g0mxQfvBZv8APIB1O8/dH+TX57HDxkk+dL77/d1+X4H3Uq8k2uVv7rff0+f4nV0VykVp4i0xFOk38GrWLj92Lx/njB6HePvD/Iq5p1hcQapHPq2tGe/dG8u1jYRxKvfanVsepolh4xTfOn99/u6fP8QjXk2lytfdb7+vy/A36KwNRsLifVJJ9J1owX6IvmWsjCSJl7bk6rn1FU5bTxFqaMdWv4NJsUH7wWb/ADyAdTvP3R/k0Rw8ZJPnS++/3dfl+ASryTa5W/ut9/T5/idXRXKRWniLTEU6TfwatYuP3YvH+eMHod4+8P8AIq5p1hcQapHPq2tGe/dG8u1jYRxKvfanVsepolh4xTfOn99/u6fP8QjXk2lytfdb7+vy/A36KwNRsLifVJJ9J1owX6IvmWsjCSJl7bk6rn1FU5bTxFqaMdWv4NJsUH7wWb/PIB1O8/dH+TRHDxkk+dL77/d1+X4BKvJNrlb+6339Pn+J1dFcpFaeItMRTpN/Bq1i4/di8f54weh3j7w/yKuadYXEGqRz6trRnv3RvLtY2EcSr32p1bHqaJYeMU3zp/ff7unz/EI15NpcrX3W+/r8vwPS/HGoeJIJ5I4tX0vw3oCIPN1a4cSTuSOVjQ4APbnnuPSuN8O6tKbpv+EF8dS6pcE7pdI8SFg1z33xOQGGRkgDI55xXQeLtPgu/G5l0/wjca3rUcKbbnUnK6daDsw3cM3QkKM8dQc1iavFqmpWRl8TaLpPjHSkYg33h5sXViw6qoBywU54BzxlvSv0I+FIvEWrSi6X/hOvHUul3AO6LSPDZYtbd98rgFjgYJBwOOM12XgfUPEk88ccur6X4k0B0PlatbuI50IHCyIMgntxz3PpXJaRFqmm2Ql8M6LpPg7SnYAX3iFs3V8x6KwJyoY44JzzlfStvwjp8Fp43EuoeEbjRNakhfdc6a5bTrsd2O3hW6kBhnnqTigDr9e8beHPC9zFba1qsNnNKnmIjqx3LnGeAe4rJ/4W54C/6GS2/wC+H/8Aiaw/ifHrz6xZHSYtceL7P8506xhnXduPUvyD7CuEePxjHG0jw+LlRQSxOkWvAH40Aer/APC3PAX/AEMlt/3w/wD8TXa18v63e3d14J1nztTmv7S60W1v4ftFtFE8TG+WMj5B6Ie/evqCgDA17xt4c8L3MVtrWqw2c0qeYiOrHcucZ4B7isn/AIW54C/6GS2/74f/AOJrD+J8evPrFkdJi1x4vs/znTrGGdd249S/IPsK4R4/GMcbSPD4uVFBLE6Ra8AfjQB6v/wtzwF/0Mlt/wB8P/8AE12tfL+t3t3deCdZ87U5r+0utFtb+H7RbRRPExvljI+QeiHv3r6goA4jVvEGsad48OhSTwRWmsWD/wBkXDR8RXaA7lf+8CCG/AAd6wIfiPq0Wg6HrV6sccNnfPpfiWAoA0EmQqy5/hUNgkf7eO1XfHFxFr3jjQvD6yLFBpDjXNSu84Nukedi7uxY5z0OOa4+5kuNV0HUp7eBY9R+IWoLDZW7pxFZxDHnMvrsyxI/vKaAOr1Dxd4ntLbxRp8Rt5da0eZb+3XyuLvTyd2FH94AMpIzyAOpzWlp/jiWfxnpcUksb6B4gsFm0uXaAUnUZeNj6kHPPcADvXJS6vbabrureJoiz6V4T04aHZFjlr66OAVY9WAO0EevzDvUWk+HZxP4M8C7iLjTZP7e1WVOPszbiUhQjhcsxBAxwM96AO31bxBrGnePDoUk8EVprFg/9kXDR8RXaA7lf+8CCG/AAd6wIfiPq0Wg6HrV6sccNnfPpfiWAoA0EmQqy5/hUNgkf7eO1XfHFxFr3jjQvD6yLFBpDjXNSu84Nukedi7uxY5z0OOa4+5kuNV0HUp7eBY9R+IWoLDZW7pxFZxDHnMvrsyxI/vKaAOr1Dxd4ntLbxRp8Rt5da0eZb+3XyuLvTyd2FH94AMpIzyAOpzWlp/jiWfxnpcUksb6B4gsFm0uXaAUnUZeNj6kHPPcADvXJS6vbabrureJoiz6V4T04aHZFjlr66OAVY9WAO0EevzDvUWk+HZxP4M8C7iLjTZP7e1WVOPszbiUhQjhcsxBAxwM96AO31bxBrGnePDoUk8EVprFg/8AZFw0fEV2gO5X/vAghvwAHesCH4j6tFoOh61erHHDZ3z6X4lgKANBJkKsuf4VDYJH+3jtV3xxcRa9440Lw+sixQaQ41zUrvODbpHnYu7sWOc9DjmuPuZLjVdB1Ke3gWPUfiFqCw2Vu6cRWcQx5zL67MsSP7ymgDq9Q8XeJ7S28UafEbeXWtHmW/t18ri708ndhR/eADKSM8gDqc1paf44ln8Z6XFJLG+geILBZtLl2gFJ1GXjY+pBzz3AA71yUur22m67q3iaIs+leE9OGh2RY5a+ujgFWPVgDtBHr8w71FpPh2cT+DPAu4i402T+3tVlTj7M24lIUI4XLMQQMcDPegDt9W8Qaxp3jw6FJPBFaaxYP/ZFw0fEV2gO5X/vAghvwAHesCH4j6tFoOh61erHHDZ3z6X4lgKANBJkKsuf4VDYJH+3jtV3xxcRa9440Lw+sixQaQ41zUrvODbpHnYu7sWOc9DjmuPuZLjVdB1Ke3gWPUfiFqCw2Vu6cRWcQx5zL67MsSP7ymgDq9Q8XeJ7S28UafEbeXWtHmW/t18ri708ndhR/eADKSM8gDqc1paf44ln8Z6XFJLG+geILBZtLl2gFJ1GXjY+pBzz3AA71yUur22m67q3iaIs+leE9OGh2RY5a+ujgFWPVgDtBHr8w71FpPh2cT+DPAu4i402T+3tVlTj7M24lIUI4XLMQQMcDPegDt9W8Qaxp3jw6FJPBFaaxYP/AGRcNHxFdoDuV/7wIIb8AB3rAh+I+rRaDoetXqxxw2d8+l+JYCgDQSZCrLn+FQ2CR/t47Vd8cXEWveONC8PrIsUGkONc1K7zg26R52Lu7FjnPQ45rj7mS41XQdSnt4Fj1H4hagsNlbunEVnEMecy+uzLEj+8poA6vUPF3ie0tvFGnxG3l1rR5lv7dfK4u9PJ3YUf3gAykjPIA6nNaWn+OJZ/GelxSSxvoHiCwWbS5doBSdRl42PqQc89wAO9clLq9tpuu6t4miLPpXhPThodkWOWvro4BVj1YA7QR6/MO9RaT4dnE/gzwLuIuNNk/t7VZU4+zNuJSFCOFyzEEDHAz3oA7fVvEGsad48OhSTwRWmsWD/2RcNHxFdoDuV/7wIIb8AB3rAh+I+rRaDoetXqxxw2d8+l+JYCgDQSZCrLn+FQ2CR/t47Vd8cXEWveONC8PrIsUGkONc1K7zg26R52Lu7FjnPQ45rj7mS41XQdSnt4Fj1H4hagsNlbunEVnEMecy+uzLEj+8poA6vUPF3ie0tvFGnxG3l1rR5lv7dfK4u9PJ3YUf3gAykjPIA6nNaWn+OJZ/GelxSSxvoHiCwWbS5doBSdRl42PqQc89wAO9clLq9tpuu6t4miLPpXhPThodkWOWvro4BVj1YA7QR6/MO9RaT4dnE/gzwLuIuNNk/t7VZU4+zNuJSFCOFyzEEDHAz3oA7fVvEGsad48OhSTwRWmsWD/wBkXDR8RXaA7lf+8CCG/AAd6wIfiPq0Wg6HrV6sccNnfPpfiWAoA0EmQqy5/hUNgkf7eO1XfHFxFr3jjQvD6yLFBpDjXNSu84Nukedi7uxY5z0OOa4+5kuNV0HUp7eBY9R+IWoLDZW7pxFZxDHnMvrsyxI/vKaAOr1Dxd4ntLbxRp8Rt5da0eZb+3XyuLvTyd2FH94AMpIzyAOpzWlp/jiWfxnpcUksb6B4gsFm0uXaAUnUZeNj6kHPPcADvXJS6vbabrureJoiz6V4T04aHZFjlr66OAVY9WAO0EevzDvUWk+HZxP4M8C7iLjTZP7e1WVOPszbiUhQjhcsxBAxwM96APT9e8beHPC9zFba1qsNnNKnmIjqx3LnGeAe4rJ/4W54C/6GS2/74f8A+JrD+J8evPrFkdJi1x4vs/znTrGGdd249S/IPsK4R4/GMcbSPD4uVFBLE6Ra8AfjQB6v/wALc8Bf9DJbf98P/wDE12tfL+t3t3deCdZ87U5r+0utFtb+H7RbRRPExvljI+QeiHv3r6goAwNe8beHPC9zFba1qsNnNKnmIjqx3LnGeAe4rJ/4W54C/wChktv++H/+JrD+J8evPrFkdJi1x4vs/wA506xhnXduPUvyD7CuEePxjHG0jw+LlRQSxOkWvAH40Aer/wDC3PAX/QyW3/fD/wDxNdrXy/rd7d3XgnWfO1Oa/tLrRbW/h+0W0UTxMb5YyPkHoh796+oKAMDXvG3hzwvcxW2tarDZzSp5iI6sdy5xngHuKyf+FueAv+hktv8Avh//AImsP4nx68+sWR0mLXHi+z/OdOsYZ13bj1L8g+wrhHj8YxxtI8Pi5UUEsTpFrwB+NAHq/wDwtzwF/wBDJbf98P8A/E12tfL+t3t3deCdZ87U5r+0utFtb+H7RbRRPExvljI+QeiHv3r6goA+ZKKKKACiiigAooooAKKKKAPpuqmqf8gm9/64P/6Cat0UAfKt7/yTuX/sVLT/ANOjV9VUUUAFVNU/5BN7/wBcH/8AQTVuigD5Vvf+Sdy/9ipaf+nRq+qqKKACqmqf8gm9/wCuD/8AoJq3RQB8q3v/ACTuX/sVLT/06NX1VRRQAVU1T/kE3v8A1wf/ANBNW6KAPlW9/wCSdy/9ipaf+nRq+qqKKACqmqf8gm9/64P/AOgmrdFAHyre/wDJO5f+xUtP/To1fVVFFABVTVP+QTe/9cH/APQTVuigD5Vvf+Sdy/8AYqWn/p0avqqiigCve2FpqVs1ve20VxC3VJUDD9e9edeJPhNpb2095pVxJZvGjOYW+eM4BOBnkfmfpXptFZ1KMKnxI7cJmOKwbvQm15dPu2Pk5YpGtbe48thHPbLdKeuI2cxgnHT5lI57/UV6x8E/+Y5/27/+1K9ZqpaaVYWFxcT2lpDBLcbfNMShd+3OMgd+TXNTwap1FOL0PaxfEk8Zgp4atD3nbVbaNPb5dy3VTVP+QTe/9cH/APQTVuiu0+YPlW9/5J3L/wBipaf+nRq+qqKKACqmqf8AIJvf+uD/APoJq3RQB8q3v/JO5f8AsVLT/wBOjV9VUUUAfNevR+HbvWktr2aSw1QKGhvEJiJ9g/Q/Q/hVa/0/TdOSOfxVrkuo7f8AU27jaren7tfvH3PHrXW3lja6jbtb3lvHPEeqyLkVnaX4W0fR5TNaWg87tJIS7KOwBPQduK+Ep4qMYJOUtOmn4PePpqfaVMNKU20lr6/itpfgYdhp+m6ikk/hXXJdO3f663QblX1/dt90+449Ks6DH4dtNae2sppL/VCpaa8cmUj2L9B9B+NaeqeFtH1iUTXdoPO7yRkozDuCR1HbmtGzsbXTrdbezt44Ih0WNcClUxUZQaUpa+n4veX4BTw0ozTaWnr+C2j+JzevR+HbvWktr2aSw1QKGhvEJiJ9g/Q/Q/hVa/0/TdOSOfxVrkuo7f8AU27jaren7tfvH3PHrXW3lja6jbtb3lvHPEeqyLkVnaX4W0fR5TNaWg87tJIS7KOwBPQduKdPFRjBJylp00/B7x9NQqYaUptpLX1/FbS/Aw7DT9N1FJJ/CuuS6du/11ug3Kvr+7b7p9xx6VZ0GPw7aa09tZTSX+qFS0145MpHsX6D6D8a09U8LaPrEomu7Qed3kjJRmHcEjqO3NaNnY2unW629nbxwRDosa4FKpioyg0pS19Pxe8vwCnhpRmm0tPX8FtH8Tm9ej8O3etJbXs0lhqgUNDeITET7B+h+h/Cq1/p+m6ckc/irXJdR2/6m3cbVb0/dr94+549a628sbXUbdre8t454j1WRcis7S/C2j6PKZrS0HndpJCXZR2AJ6DtxTp4qMYJOUtOmn4PePpqFTDSlNtJa+v4raX4GHYafpuopJP4V1yXTt3+ut0G5V9f3bfdPuOPSrOgx+HbTWntrKaS/wBUKlprxyZSPYv0H0H41p6p4W0fWJRNd2g87vJGSjMO4JHUdua0bOxtdOt1t7O3jgiHRY1wKVTFRlBpSlr6fi95fgFPDSjNNpaev4LaP4m18R5tJl15bLWvEGp30MiKIfC+kRkSztjkyMpyVOc4O3pxmuckttK0q8guJ9K1X4bajIFW3voHE9nKP4Vmx8ue5Vse5r0LxBpPivUfEU0ehDS9FtJYlW41nyhLdyj+4q4GAP8AaPuD2rNuPA/ijQYZG8P+IZNZglH+laX4hPnR3BP3ir4ypPPHTJ5r7w+LOPjttK1W8nuINK1X4k6jGGW4vrhxBZxD+JYc/LnuFXPsa6P4cTaTFrzWWi+INTsYY0YTeF9XjJlgbHBjZjkKMZwN3XnFXbfwP4o16GNvEHiGTRoIh/oul+Hj5MduR90s+MsRxx0yOK0vD+k+K9O8RQx66NL1q0iiZbfWfKEV3EP7jLg5B/2T7k9qAO3qpqn/ACCb3/rg/wD6Cat0UAfKt7/yTuX/ALFS0/8ATo1fVVFFABVTVP8AkE3v/XB//QTVuigD5Vvf+Sdy/wDYqWn/AKdGr6qoooA828cW8Wg+ONC8QLGssGruND1K0xk3CSZ2Nt7lTnPU44rj7mO40rQdSgt51k1H4e6gs1lcO/EtnKM+SzeuzKkD+6or0LVvD+saj48OuyQQS2mj2D/2RbtJxLduDuZ/7oAAX8QR3rAh+HGrS6Doei3rRyQ3l8+qeJZy4LTyZDLFj+JS2AT/ALGe9AGZLpFtqWu6t4ZiDJpXizThrlkGGGsboYJZh1UE7ST6/KO9RaT4inM/gzx1tJuNSk/sHVYk5+0tuISZAOGwykkjPBx2roNQ8I+J7u28UahELeLWtYmWwt283i008HblT/eILMQMckHqMVpaf4Hlg8Z6XLJFGmgeH7BYdLi3Al52GHkYeoAxz3II70AUvHFvFoPjjQvECxrLBq7jQ9StMZNwkmdjbe5U5z1OOK4+5juNK0HUoLedZNR+HuoLNZXDvxLZyjPks3rsypA/uqK9C1bw/rGo+PDrskEEtpo9g/8AZFu0nEt24O5n/ugABfxBHesCH4catLoOh6LetHJDeXz6p4lnLgtPJkMsWP4lLYBP+xnvQBmS6RbalrureGYgyaV4s04a5ZBhhrG6GCWYdVBO0k+vyjvUWk+IpzP4M8dbSbjUpP7B1WJOftLbiEmQDhsMpJIzwcdq6DUPCPie7tvFGoRC3i1rWJlsLdvN4tNPB25U/wB4gsxAxyQeoxWlp/geWDxnpcskUaaB4fsFh0uLcCXnYYeRh6gDHPcgjvQBS8cW8Wg+ONC8QLGssGruND1K0xk3CSZ2Nt7lTnPU44rj7mO40rQdSgt51k1H4e6gs1lcO/EtnKM+SzeuzKkD+6or0LVvD+saj48OuyQQS2mj2D/2RbtJxLduDuZ/7oAAX8QR3rAh+HGrS6Doei3rRyQ3l8+qeJZy4LTyZDLFj+JS2AT/ALGe9AGZLpFtqWu6t4ZiDJpXizThrlkGGGsboYJZh1UE7ST6/KO9RaT4inM/gzx1tJuNSk/sHVYk5+0tuISZAOGwykkjPBx2roNQ8I+J7u28UahELeLWtYmWwt283i008HblT/eILMQMckHqMVpaf4Hlg8Z6XLJFGmgeH7BYdLi3Al52GHkYeoAxz3II70AUvHFvFoPjjQvECxrLBq7jQ9StMZNwkmdjbe5U5z1OOK4+5juNK0HUoLedZNR+HuoLNZXDvxLZyjPks3rsypA/uqK9C1bw/rGo+PDrskEEtpo9g/8AZFu0nEt24O5n/ugABfxBHesCH4catLoOh6LetHJDeXz6p4lnLgtPJkMsWP4lLYBP+xnvQBmS6RbalrureGYgyaV4s04a5ZBhhrG6GCWYdVBO0k+vyjvUWk+IpzP4M8dbSbjUpP7B1WJOftLbiEmQDhsMpJIzwcdq6DUPCPie7tvFGoRC3i1rWJlsLdvN4tNPB25U/wB4gsxAxyQeoxWlp/geWDxnpcskUaaB4fsFh0uLcCXnYYeRh6gDHPcgjvQBS8cW8Wg+ONC8QLGssGruND1K0xk3CSZ2Nt7lTnPU44rj7mO40rQdSgt51k1H4e6gs1lcO/EtnKM+SzeuzKkD+6or0LVvD+saj48OuyQQS2mj2D/2RbtJxLduDuZ/7oAAX8QR3rAh+HGrS6Doei3rRyQ3l8+qeJZy4LTyZDLFj+JS2AT/ALGe9AGZLpFtqWu6t4ZiDJpXizThrlkGGGsboYJZh1UE7ST6/KO9RaT4inM/gzx1tJuNSk/sHVYk5+0tuISZAOGwykkjPBx2roNQ8I+J7u28UahELeLWtYmWwt283i008HblT/eILMQMckHqMVpaf4Hlg8Z6XLJFGmgeH7BYdLi3Al52GHkYeoAxz3II70AUvHFvFoPjjQvECxrLBq7jQ9StMZNwkmdjbe5U5z1OOK4+5juNK0HUoLedZNR+HuoLNZXDvxLZyjPks3rsypA/uqK9C1bw/rGo+PDrskEEtpo9g/8AZFu0nEt24O5n/ugABfxBHesCH4catLoOh6LetHJDeXz6p4lnLgtPJkMsWP4lLYBP+xnvQBmS6RbalrureGYgyaV4s04a5ZBhhrG6GCWYdVBO0k+vyjvUWk+IpzP4M8dbSbjUpP7B1WJOftLbiEmQDhsMpJIzwcdq6DUPCPie7tvFGoRC3i1rWJlsLdvN4tNPB25U/wB4gsxAxyQeoxWlp/geWDxnpcskUaaB4fsFh0uLcCXnYYeRh6gDHPcgjvQBS8cW8Wg+ONC8QLGssGruND1K0xk3CSZ2Nt7lTnPU44rj7mO40rQdSgt51k1H4e6gs1lcO/EtnKM+SzeuzKkD+6or0LVvD+saj48OuyQQS2mj2D/2RbtJxLduDuZ/7oAAX8QR3rAh+HGrS6Doei3rRyQ3l8+qeJZy4LTyZDLFj+JS2AT/ALGe9AGZLpFtqWu6t4ZiDJpXizThrlkGGGsboYJZh1UE7ST6/KO9RaT4inM/gzx1tJuNSk/sHVYk5+0tuISZAOGwykkjPBx2roNQ8I+J7u28UahELeLWtYmWwt283i008HblT/eILMQMckHqMVpaf4Hlg8Z6XLJFGmgeH7BYdLi3Al52GHkYeoAxz3II70Ad5VTVP+QTe/8AXB//AEE1booA+Vb3/kncv/YqWn/p0avqqiigAqpqn/IJvf8Arg//AKCat0UAfKt7/wAk7l/7FS0/9OjV9VUUUAFVNU/5BN7/ANcH/wDQTVuigD5Vvf8Akncv/YqWn/p0avqqiigD5kooooAKKKKACiiigAooooA9k1bxBrGnePDoUk8EVprFg/8AZFw0fEV2gO5X/vAghvwAHesCH4j6tFoOh61erHHDZ3z6X4lgKANBJkKsuf4VDYJH+3jtV3xxcRa9440Lw+sixQaQ41zUrvODbpHnYu7sWOc9DjmuPuZLjVdB1Ke3gWPUfiFqCw2Vu6cRWcQx5zL67MsSP7ymgDq9Q8XeJ7S28UafEbeXWtHmW/t18ri708ndhR/eADKSM8gDqc1paf44ln8Z6XFJLG+geILBZtLl2gFJ1GXjY+pBzz3AA71yUur22m67q3iaIs+leE9OGh2RY5a+ujgFWPVgDtBHr8w71FpPh2cT+DPAu4i402T+3tVlTj7M24lIUI4XLMQQMcDPegDt9W8Qaxp3jw6FJPBFaaxYP/ZFw0fEV2gO5X/vAghvwAHesCH4j6tFoOh61erHHDZ3z6X4lgKANBJkKsuf4VDYJH+3jtV3xxcRa9440Lw+sixQaQ41zUrvODbpHnYu7sWOc9DjmuPuZLjVdB1Ke3gWPUfiFqCw2Vu6cRWcQx5zL67MsSP7ymgDq9Q8XeJ7S28UafEbeXWtHmW/t18ri708ndhR/eADKSM8gDqc1paf44ln8Z6XFJLG+geILBZtLl2gFJ1GXjY+pBzz3AA71yUur22m67q3iaIs+leE9OGh2RY5a+ujgFWPVgDtBHr8w71FpPh2cT+DPAu4i402T+3tVlTj7M24lIUI4XLMQQMcDPegDt9W8Qaxp3jw6FJPBFaaxYP/AGRcNHxFdoDuV/7wIIb8AB3rAh+I+rRaDoetXqxxw2d8+l+JYCgDQSZCrLn+FQ2CR/t47Vd8cXEWveONC8PrIsUGkONc1K7zg26R52Lu7FjnPQ45rj7mS41XQdSnt4Fj1H4hagsNlbunEVnEMecy+uzLEj+8poA6vUPF3ie0tvFGnxG3l1rR5lv7dfK4u9PJ3YUf3gAykjPIA6nNaWn+OJZ/GelxSSxvoHiCwWbS5doBSdRl42PqQc89wAO9clLq9tpuu6t4miLPpXhPThodkWOWvro4BVj1YA7QR6/MO9RaT4dnE/gzwLuIuNNk/t7VZU4+zNuJSFCOFyzEEDHAz3oA7fVvEGsad48OhSTwRWmsWD/2RcNHxFdoDuV/7wIIb8AB3rAh+I+rRaDoetXqxxw2d8+l+JYCgDQSZCrLn+FQ2CR/t47Vd8cXEWveONC8PrIsUGkONc1K7zg26R52Lu7FjnPQ45rj7mS41XQdSnt4Fj1H4hagsNlbunEVnEMecy+uzLEj+8poA6vUPF3ie0tvFGnxG3l1rR5lv7dfK4u9PJ3YUf3gAykjPIA6nNaWn+OJZ/GelxSSxvoHiCwWbS5doBSdRl42PqQc89wAO9clLq9tpuu6t4miLPpXhPThodkWOWvro4BVj1YA7QR6/MO9RaT4dnE/gzwLuIuNNk/t7VZU4+zNuJSFCOFyzEEDHAz3oA7fVvEGsad48OhSTwRWmsWD/wBkXDR8RXaA7lf+8CCG/AAd6wIfiPq0Wg6HrV6sccNnfPpfiWAoA0EmQqy5/hUNgkf7eO1XfHFxFr3jjQvD6yLFBpDjXNSu84Nukedi7uxY5z0OOa4+5kuNV0HUp7eBY9R+IWoLDZW7pxFZxDHnMvrsyxI/vKaAOr1Dxd4ntLbxRp8Rt5da0eZb+3XyuLvTyd2FH94AMpIzyAOpzWlp/jiWfxnpcUksb6B4gsFm0uXaAUnUZeNj6kHPPcADvXJS6vbabrureJoiz6V4T04aHZFjlr66OAVY9WAO0EevzDvUWk+HZxP4M8C7iLjTZP7e1WVOPszbiUhQjhcsxBAxwM96AO31bxBrGnePDoUk8EVprFg/9kXDR8RXaA7lf+8CCG/AAd6wIfiPq0Wg6HrV6sccNnfPpfiWAoA0EmQqy5/hUNgkf7eO1XfHFxFr3jjQvD6yLFBpDjXNSu84Nukedi7uxY5z0OOa4+5kuNV0HUp7eBY9R+IWoLDZW7pxFZxDHnMvrsyxI/vKaAOr1Dxd4ntLbxRp8Rt5da0eZb+3XyuLvTyd2FH94AMpIzyAOpzWlp/jiWfxnpcUksb6B4gsFm0uXaAUnUZeNj6kHPPcADvXJS6vbabrureJoiz6V4T04aHZFjlr66OAVY9WAO0EevzDvUWk+HZxP4M8C7iLjTZP7e1WVOPszbiUhQjhcsxBAxwM96AO31bxBrGnePDoUk8EVprFg/8AZFw0fEV2gO5X/vAghvwAHesCH4j6tFoOh61erHHDZ3z6X4lgKANBJkKsuf4VDYJH+3jtV3xxcRa9440Lw+sixQaQ41zUrvODbpHnYu7sWOc9DjmuPuZLjVdB1Ke3gWPUfiFqCw2Vu6cRWcQx5zL67MsSP7ymgDq9Q8XeJ7S28UafEbeXWtHmW/t18ri708ndhR/eADKSM8gDqc1paf44ln8Z6XFJLG+geILBZtLl2gFJ1GXjY+pBzz3AA71yUur22m67q3iaIs+leE9OGh2RY5a+ujgFWPVgDtBHr8w71FpPh2cT+DPAu4i402T+3tVlTj7M24lIUI4XLMQQMcDPegDt9W8Qaxp3jw6FJPBFaaxYP/ZFw0fEV2gO5X/vAghvwAHesCH4j6tFoOh61erHHDZ3z6X4lgKANBJkKsuf4VDYJH+3jtV3xxcRa9440Lw+sixQaQ41zUrvODbpHnYu7sWOc9DjmuPuZLjVdB1Ke3gWPUfiFqCw2Vu6cRWcQx5zL67MsSP7ymgDq9Q8XeJ7S28UafEbeXWtHmW/t18ri708ndhR/eADKSM8gDqc1paf44ln8Z6XFJLG+geILBZtLl2gFJ1GXjY+pBzz3AA71yUur22m67q3iaIs+leE9OGh2RY5a+ujgFWPVgDtBHr8w71FpPh2cT+DPAu4i402T+3tVlTj7M24lIUI4XLMQQMcDPegDt9W8Qaxp3jw6FJPBFaaxYP/AGRcNHxFdoDuV/7wIIb8AB3rAh+I+rRaDoetXqxxw2d8+l+JYCgDQSZCrLn+FQ2CR/t47Vd8cXEWveONC8PrIsUGkONc1K7zg26R52Lu7FjnPQ45rj7mS41XQdSnt4Fj1H4hagsNlbunEVnEMecy+uzLEj+8poA6vUPF3ie0tvFGnxG3l1rR5lv7dfK4u9PJ3YUf3gAykjPIA6nNaWn+OJZ/GelxSSxvoHiCwWbS5doBSdRl42PqQc89wAO9clLq9tpuu6t4miLPpXhPThodkWOWvro4BVj1YA7QR6/MO9RaT4dnE/gzwLuIuNNk/t7VZU4+zNuJSFCOFyzEEDHAz3oA7fVvEGsad48OhSTwRWmsWD/2RcNHxFdoDuV/7wIIb8AB3rAh+I+rRaDoetXqxxw2d8+l+JYCgDQSZCrLn+FQ2CR/t47Vd8cXEWveONC8PrIsUGkONc1K7zg26R52Lu7FjnPQ45rj7mS41XQdSnt4Fj1H4hagsNlbunEVnEMecy+uzLEj+8poA6vUPF3ie0tvFGnxG3l1rR5lv7dfK4u9PJ3YUf3gAykjPIA6nNaWn+OJZ/GelxSSxvoHiCwWbS5doBSdRl42PqQc89wAO9clLq9tpuu6t4miLPpXhPThodkWOWvro4BVj1YA7QR6/MO9RaT4dnE/gzwLuIuNNk/t7VZU4+zNuJSFCOFyzEEDHAz3oA7fVvEGsad48OhSTwRWmsWD/wBkXDR8RXaA7lf+8CCG/AAd6wIfiPq0Wg6HrV6sccNnfPpfiWAoA0EmQqy5/hUNgkf7eO1XfHFxFr3jjQvD6yLFBpDjXNSu84Nukedi7uxY5z0OOa4+5kuNV0HUp7eBY9R+IWoLDZW7pxFZxDHnMvrsyxI/vKaAOr1Dxd4ntLbxRp8Rt5da0eZb+3XyuLvTyd2FH94AMpIzyAOpzWlp/jiWfxnpcUksb6B4gsFm0uXaAUnUZeNj6kHPPcADvXJS6vbabrureJoiz6V4T04aHZFjlr66OAVY9WAO0EevzDvUWk+HZxP4M8C7iLjTZP7e1WVOPszbiUhQjhcsxBAxwM96AO38Qat4r07xFNJoR0vWrSKJWuNG80RXcQ/vq2TkH/aHsB3rNuPHHijXoZF8P+HpNGgiH+lap4hHkx25H3gqZyxHPPTI5ql8R4dJi15b3WvD+p2MMaKYfFGkSEywNjkSKoyFGMZO7rxiuckudK1W8gt59V1X4k6jGFa3sYEEFnEP4Wmx8uexZs+4oA7C38ceKNBhjXxB4ek1mCUf6Lqnh4edHcE/dDJnKk8c9MnitLw/q3ivUfEUMmunS9FtJYma30bzRLdyj++zZGAP9kexHevPY7nStKvJ7eDVdV+G2oyBmuLG4QT2co/iaHPy57Blx7Cuj+HEOky6817ovh/U76GRGM3ijV5CJZ2xwI1YZKnOMjb05zQB2+veNvDnhe5itta1WGzmlTzER1Y7lzjPAPcVk/8AC3PAX/QyW3/fD/8AxNYfxPj159YsjpMWuPF9n+c6dYwzru3HqX5B9hXCPH4xjjaR4fFyooJYnSLXgD8aAPV/+FueAv8AoZLb/vh//ia7Wvl/W727uvBOs+dqc1/aXWi2t/D9otooniY3yxkfIPRD3719QUAYGveNvDnhe5itta1WGzmlTzER1Y7lzjPAPcVk/wDC3PAX/QyW3/fD/wDxNYfxPj159YsjpMWuPF9n+c6dYwzru3HqX5B9hXCPH4xjjaR4fFyooJYnSLXgD8aAPV/+FueAv+hktv8Avh//AImu1r5f1u9u7rwTrPnanNf2l1otrfw/aLaKJ4mN8sZHyD0Q9+9fUFAHB+ONQ8SQTyRxavpfhvQEQebq1w4knckcrGhwAe3PPcelcb4d1aU3Tf8ACC+OpdUuCd0ukeJCwa5774nIDDIyQBkc84roPF2nwXfjcy6f4RuNb1qOFNtzqTldOtB2YbuGboSFGeOoOaxNXi1TUrIy+JtF0nxjpSMQb7w82LqxYdVUA5YKc8A54y3pQBF4i1aUXS/8J146l0u4B3RaR4bLFrbvvlcAscDBIOBxxmuy8D6h4knnjjl1fS/EmgOh8rVrdxHOhA4WRBkE9uOe59K5LSItU02yEvhnRdJ8HaU7AC+8Qtm6vmPRWBOVDHHBOecr6Vt+EdPgtPG4l1DwjcaJrUkL7rnTXLaddjux28K3UgMM89ScUAYtFYGo2FxPqkk+k60YL9EXzLWRhJEy9tydVz6iqctp4i1NGOrX8Gk2KD94LN/nkA6nefuj/Jr89jh4ySfOl99/u6/L8D7qVeSbXK391vv6fP8AE6uiuUitPEWmIp0m/g1axcfuxeP88YPQ7x94f5FXNOsLiDVI59W1oz37o3l2sbCOJV77U6tj1NEsPGKb50/vv93T5/iEa8m0uVr7rff1+X4G/RWBqNhcT6pJPpOtGC/RF8y1kYSRMvbcnVc+oqnLaeItTRjq1/BpNig/eCzf55AOp3n7o/yaI4eMknzpfff7uvy/AJV5Jtcrf3W+/p8/xOrorlIrTxFpiKdJv4NWsXH7sXj/ADxg9DvH3h/kVc06wuINUjn1bWjPfujeXaxsI4lXvtTq2PU0Sw8YpvnT++/3dPn+IRrybS5Wvut9/X5fgb9FYGo2FxPqkk+k60YL9EXzLWRhJEy9tydVz6iqctp4i1NGOrX8Gk2KD94LN/nkA6nefuj/ACaI4eMknzpfff7uvy/AJV5Jtcrf3W+/p8/xOrorlIrTxFpiKdJv4NWsXH7sXj/PGD0O8feH+RVzTrC4g1SOfVtaM9+6N5drGwjiVe+1OrY9TRLDxim+dP77/d0+f4hGvJtLla+6339fl+Bv0VgajYXE+qST6TrRgv0RfMtZGEkTL23J1XPqKpy2niLU0Y6tfwaTYoP3gs3+eQDqd5+6P8miOHjJJ86X33+7r8vwCVeSbXK391vv6fP8Tq6K5SK08RaYinSb+DVrFx+7F4/zxg9DvH3h/kVc06wuINUjn1bWjPfujeXaxsI4lXvtTq2PU0Sw8YpvnT++/wB3T5/iEa8m0uVr7rff1+X4G/RWBqNhcT6pJPpOtGC/RF8y1kYSRMvbcnVc+oqnLaeItTRjq1/BpNig/eCzf55AOp3n7o/yaI4eMknzpfff7uvy/AJV5Jtcrf3W+/p8/wATq6K5SK08RaYinSb+DVrFx+7F4/zxg9DvH3h/kVc06wuINUjn1bWjPfujeXaxsI4lXvtTq2PU0Sw8YpvnT++/3dPn+IRrybS5Wvut9/X5fgb9FYGo2FxPqkk+k60YL9EXzLWRhJEy9tydVz6iqctp4i1NGOrX8Gk2KD94LN/nkA6nefuj/Jojh4ySfOl99/u6/L8AlXkm1yt/db7+nz/E6uiuUitPEWmIp0m/g1axcfuxeP8APGD0O8feH+RVzTrC4g1SOfVtaM9+6N5drGwjiVe+1OrY9TRLDxim+dP77/d0+f4hGvJtLla+6339fl+Bv0VgajYXE+qST6TrRgv0RfMtZGEkTL23J1XPqKpy2niLU0Y6tfwaTYoP3gs3+eQDqd5+6P8AJojh4ySfOl99/u6/L8AlXkm1yt/db7+nz/E6uiuUitPEWmIp0m/g1axcfuxeP88YPQ7x94f5FXNOsLiDVI59W1oz37o3l2sbCOJV77U6tj1NEsPGKb50/vv93T5/iEa8m0uVr7rff1+X4G/RWBqNhcT6pJPpOtGC/RF8y1kYSRMvbcnVc+oqnLaeItTRjq1/BpNig/eCzf55AOp3n7o/yaI4eMknzpfff7uvy/AJV5Jtcrf3W+/p8/xOrorlIrTxFpiKdJv4NWsXH7sXj/PGD0O8feH+RVzTrC4g1SOfVtaM9+6N5drGwjiVe+1OrY9TRLDxim+dP77/AHdPn+IRrybS5Wvut9/X5fgel+ONQ8SQTyRxavpfhvQEQebq1w4knckcrGhwAe3PPcelcb4d1aU3Tf8ACC+OpdUuCd0ukeJCwa5774nIDDIyQBkc84roPF2nwXfjcy6f4RuNb1qOFNtzqTldOtB2YbuGboSFGeOoOaxNXi1TUrIy+JtF0nxjpSMQb7w82LqxYdVUA5YKc8A54y3pX6EfCkXiLVpRdL/wnXjqXS7gHdFpHhssWtu++VwCxwMEg4HHGa7LwPqHiSeeOOXV9L8SaA6HytWt3Ec6EDhZEGQT2457n0rktIi1TTbIS+GdF0nwdpTsAL7xC2bq+Y9FYE5UMccE55yvpW34R0+C08biXUPCNxomtSQvuudNctp12O7HbwrdSAwzz1JxQB1+veNvDnhe5itta1WGzmlTzER1Y7lzjPAPcVk/8Lc8Bf8AQyW3/fD/APxNYfxPj159YsjpMWuPF9n+c6dYwzru3HqX5B9hXCPH4xjjaR4fFyooJYnSLXgD8aAPV/8AhbngL/oZLb/vh/8A4mu1r5f1u9u7rwTrPnanNf2l1otrfw/aLaKJ4mN8sZHyD0Q9+9fUFAHzJRRRQAUUUUAFFFFABRRRQB6l44t4tB8caF4gWNZYNXcaHqVpjJuEkzsbb3KnOepxxXH3MdxpWg6lBbzrJqPw91BZrK4d+JbOUZ8lm9dmVIH91RXoWreH9Y1Hx4ddkggltNHsH/si3aTiW7cHcz/3QAAv4gjvWBD8ONWl0HQ9FvWjkhvL59U8SzlwWnkyGWLH8SlsAn/Yz3oAzJdIttS13VvDMQZNK8WacNcsgww1jdDBLMOqgnaSfX5R3qLSfEU5n8GeOtpNxqUn9g6rEnP2ltxCTIBw2GUkkZ4OO1dBqHhHxPd23ijUIhbxa1rEy2Fu3m8Wmng7cqf7xBZiBjkg9RitLT/A8sHjPS5ZIo00Dw/YLDpcW4EvOww8jD1AGOe5BHegCl44t4tB8caF4gWNZYNXcaHqVpjJuEkzsbb3KnOepxxXH3MdxpWg6lBbzrJqPw91BZrK4d+JbOUZ8lm9dmVIH91RXoWreH9Y1Hx4ddkggltNHsH/ALIt2k4lu3B3M/8AdAAC/iCO9YEPw41aXQdD0W9aOSG8vn1TxLOXBaeTIZYsfxKWwCf9jPegDMl0i21LXdW8MxBk0rxZpw1yyDDDWN0MEsw6qCdpJ9flHeotJ8RTmfwZ462k3GpSf2DqsSc/aW3EJMgHDYZSSRng47V0GoeEfE93beKNQiFvFrWsTLYW7ebxaaeDtyp/vEFmIGOSD1GK0tP8DyweM9LlkijTQPD9gsOlxbgS87DDyMPUAY57kEd6AKXji3i0HxxoXiBY1lg1dxoepWmMm4STOxtvcqc56nHFcfcx3GlaDqUFvOsmo/D3UFmsrh34ls5RnyWb12ZUgf3VFehat4f1jUfHh12SCCW00ewf+yLdpOJbtwdzP/dAAC/iCO9YEPw41aXQdD0W9aOSG8vn1TxLOXBaeTIZYsfxKWwCf9jPegDMl0i21LXdW8MxBk0rxZpw1yyDDDWN0MEsw6qCdpJ9flHeotJ8RTmfwZ462k3GpSf2DqsSc/aW3EJMgHDYZSSRng47V0GoeEfE93beKNQiFvFrWsTLYW7ebxaaeDtyp/vEFmIGOSD1GK0tP8DyweM9LlkijTQPD9gsOlxbgS87DDyMPUAY57kEd6AKXji3i0HxxoXiBY1lg1dxoepWmMm4STOxtvcqc56nHFcfcx3GlaDqUFvOsmo/D3UFmsrh34ls5RnyWb12ZUgf3VFehat4f1jUfHh12SCCW00ewf8Asi3aTiW7cHcz/wB0AAL+II71gQ/DjVpdB0PRb1o5Iby+fVPEs5cFp5Mhlix/EpbAJ/2M96AMyXSLbUtd1bwzEGTSvFmnDXLIMMNY3QwSzDqoJ2kn1+Ud6i0nxFOZ/BnjraTcalJ/YOqxJz9pbcQkyAcNhlJJGeDjtXQah4R8T3dt4o1CIW8WtaxMthbt5vFpp4O3Kn+8QWYgY5IPUYrS0/wPLB4z0uWSKNNA8P2Cw6XFuBLzsMPIw9QBjnuQR3oApeOLeLQfHGheIFjWWDV3Gh6laYybhJM7G29ypznqccVx9zHcaVoOpQW86yaj8PdQWayuHfiWzlGfJZvXZlSB/dUV6Fq3h/WNR8eHXZIIJbTR7B/7It2k4lu3B3M/90AAL+II71gQ/DjVpdB0PRb1o5Iby+fVPEs5cFp5Mhlix/EpbAJ/2M96AMyXSLbUtd1bwzEGTSvFmnDXLIMMNY3QwSzDqoJ2kn1+Ud6i0nxFOZ/BnjraTcalJ/YOqxJz9pbcQkyAcNhlJJGeDjtXQah4R8T3dt4o1CIW8WtaxMthbt5vFpp4O3Kn+8QWYgY5IPUYrS0/wPLB4z0uWSKNNA8P2Cw6XFuBLzsMPIw9QBjnuQR3oApeOLeLQfHGheIFjWWDV3Gh6laYybhJM7G29ypznqccVx9zHcaVoOpQW86yaj8PdQWayuHfiWzlGfJZvXZlSB/dUV6Fq3h/WNR8eHXZIIJbTR7B/wCyLdpOJbtwdzP/AHQAAv4gjvWBD8ONWl0HQ9FvWjkhvL59U8SzlwWnkyGWLH8SlsAn/Yz3oAzJdIttS13VvDMQZNK8WacNcsgww1jdDBLMOqgnaSfX5R3qLSfEU5n8GeOtpNxqUn9g6rEnP2ltxCTIBw2GUkkZ4OO1dBqHhHxPd23ijUIhbxa1rEy2Fu3m8Wmng7cqf7xBZiBjkg9RitLT/A8sHjPS5ZIo00Dw/YLDpcW4EvOww8jD1AGOe5BHegCl44t4tB8caF4gWNZYNXcaHqVpjJuEkzsbb3KnOepxxXH3MdxpWg6lBbzrJqPw91BZrK4d+JbOUZ8lm9dmVIH91RXoWreH9Y1Hx4ddkggltNHsH/si3aTiW7cHcz/3QAAv4gjvWBD8ONWl0HQ9FvWjkhvL59U8SzlwWnkyGWLH8SlsAn/Yz3oAzJdIttS13VvDMQZNK8WacNcsgww1jdDBLMOqgnaSfX5R3qLSfEU5n8GeOtpNxqUn9g6rEnP2ltxCTIBw2GUkkZ4OO1dBqHhHxPd23ijUIhbxa1rEy2Fu3m8Wmng7cqf7xBZiBjkg9RitLT/A8sHjPS5ZIo00Dw/YLDpcW4EvOww8jD1AGOe5BHegCl44t4tB8caF4gWNZYNXcaHqVpjJuEkzsbb3KnOepxxXH3MdxpWg6lBbzrJqPw91BZrK4d+JbOUZ8lm9dmVIH91RXoWreH9Y1Hx4ddkggltNHsH/ALIt2k4lu3B3M/8AdAAC/iCO9YEPw41aXQdD0W9aOSG8vn1TxLOXBaeTIZYsfxKWwCf9jPegDMl0i21LXdW8MxBk0rxZpw1yyDDDWN0MEsw6qCdpJ9flHeotJ8RTmfwZ462k3GpSf2DqsSc/aW3EJMgHDYZSSRng47V0GoeEfE93beKNQiFvFrWsTLYW7ebxaaeDtyp/vEFmIGOSD1GK0tP8DyweM9LlkijTQPD9gsOlxbgS87DDyMPUAY57kEd6AKXji3i0HxxoXiBY1lg1dxoepWmMm4STOxtvcqc56nHFcfcx3GlaDqUFvOsmo/D3UFmsrh34ls5RnyWb12ZUgf3VFehat4f1jUfHh12SCCW00ewf+yLdpOJbtwdzP/dAAC/iCO9YEPw41aXQdD0W9aOSG8vn1TxLOXBaeTIZYsfxKWwCf9jPegDMl0i21LXdW8MxBk0rxZpw1yyDDDWN0MEsw6qCdpJ9flHeotJ8RTmfwZ462k3GpSf2DqsSc/aW3EJMgHDYZSSRng47V0GoeEfE93beKNQiFvFrWsTLYW7ebxaaeDtyp/vEFmIGOSD1GK0tP8DyweM9LlkijTQPD9gsOlxbgS87DDyMPUAY57kEd6AKXji3i0HxxoXiBY1lg1dxoepWmMm4STOxtvcqc56nHFcfcx3GlaDqUFvOsmo/D3UFmsrh34ls5RnyWb12ZUgf3VFehat4f1jUfHh12SCCW00ewf8Asi3aTiW7cHcz/wB0AAL+II71gQ/DjVpdB0PRb1o5Iby+fVPEs5cFp5Mhlix/EpbAJ/2M96AMyXSLbUtd1bwzEGTSvFmnDXLIMMNY3QwSzDqoJ2kn1+Ud6i0nxFOZ/BnjraTcalJ/YOqxJz9pbcQkyAcNhlJJGeDjtXQah4R8T3dt4o1CIW8WtaxMthbt5vFpp4O3Kn+8QWYgY5IPUYrS0/wPLB4z0uWSKNNA8P2Cw6XFuBLzsMPIw9QBjnuQR3oApeOLeLQfHGheIFjWWDV3Gh6laYybhJM7G29ypznqccVx9zHcaVoOpQW86yaj8PdQWayuHfiWzlGfJZvXZlSB/dUV6Fq3h/WNR8eHXZIIJbTR7B/7It2k4lu3B3M/90AAL+II71gQ/DjVpdB0PRb1o5Iby+fVPEs5cFp5Mhlix/EpbAJ/2M96AMyXSLbUtd1bwzEGTSvFmnDXLIMMNY3QwSzDqoJ2kn1+Ud6i0nxFOZ/BnjraTcalJ/YOqxJz9pbcQkyAcNhlJJGeDjtXQah4R8T3dt4o1CIW8WtaxMthbt5vFpp4O3Kn+8QWYgY5IPUYrS0/wPLB4z0uWSKNNA8P2Cw6XFuBLzsMPIw9QBjnuQR3oAzfF2oQWnjcxaf4uuNE1qSFNttqSFtOux2UbuFboCVOeehOaxNXl1TTbIxeJta0nwdpTsSbHw8ubq+Y9WUgZUMc8gZ5w3rXW+ONP8STzySRaRpfiTQHQebpNwgjnQgctG5yCe/PPYetcb4d0mUXTf8ACC+BZdLuAdsur+JAxa27bIkJLHAyARgcc5oAl0iXVNSshF4Z1rSfGOlIwIsfEK4urFh0ZiRlgpxyRnjC+tbfhHUILvxuItQ8XXGt61HC+6201CunWg7qdvDN1ALHPHQHFc/4i0mU3S/8J14Fl1S4J2xav4bDBrntslQEMMjAJORzxiuy8D6f4kgnjkl0jS/DegIh8rSbdBJO5I4aRxgA9+Oex9aAO8qpqn/IJvf+uD/+gmrdFAHyre/8k7l/7FS0/wDTo1fVVFFABVTVP+QTe/8AXB//AEE1booA+Vb3/kncv/YqWn/p0avqqiigDyn4jzaTLry2WteINTvoZEUQ+F9IjIlnbHJkZTkqc5wdvTjNc5JbaVpV5BcT6Vqvw21GQKtvfQOJ7OUfwrNj5c9yrY9zXoXiDSfFeo+Ipo9CGl6LaSxKtxrPlCW7lH9xVwMAf7R9we1Ztx4H8UaDDI3h/wAQyazBKP8AStL8Qnzo7gn7xV8ZUnnjpk80AcfHbaVqt5PcQaVqvxJ1GMMtxfXDiCziH8Sw5+XPcKufY10fw4m0mLXmstF8QanYwxowm8L6vGTLA2ODGzHIUYzgbuvOKu2/gfxRr0MbeIPEMmjQRD/RdL8PHyY7cj7pZ8ZYjjjpkcVpeH9J8V6d4ihj10aXrVpFEy2+s+UIruIf3GXByD/sn3J7UAeRa9H4du9aS2vZpLDVAoaG8QmIn2D9D9D+FVr/AE/TdOSOfxVrkuo7f9TbuNqt6fu1+8fc8etdbeWNrqNu1veW8c8R6rIuRWdpfhbR9HlM1paDzu0khLso7AE9B24r4Snioxgk5S06afg94+mp9pUw0pTbSWvr+K2l+Bh2Gn6bqKST+Fdcl07d/rrdBuVfX9233T7jj0qzoMfh201p7aymkv8AVCpaa8cmUj2L9B9B+NaeqeFtH1iUTXdoPO7yRkozDuCR1HbmtGzsbXTrdbezt44Ih0WNcClUxUZQaUpa+n4veX4BTw0ozTaWnr+C2j+JzevR+HbvWktr2aSw1QKGhvEJiJ9g/Q/Q/hVa/wBP03Tkjn8Va5LqO3/U27jaren7tfvH3PHrXW3lja6jbtb3lvHPEeqyLkVnaX4W0fR5TNaWg87tJIS7KOwBPQduKdPFRjBJylp00/B7x9NQqYaUptpLX1/FbS/Aw7DT9N1FJJ/CuuS6du/11ug3Kvr+7b7p9xx6VZ0GPw7aa09tZTSX+qFS0145MpHsX6D6D8a09U8LaPrEomu7Qed3kjJRmHcEjqO3NaNnY2unW629nbxwRDosa4FKpioyg0pS19Pxe8vwCnhpRmm0tPX8FtH8Tm9ej8O3etJbXs0lhqgUNDeITET7B+h+h/Cq1/p+m6ckc/irXJdR2/6m3cbVb0/dr94+549a628sbXUbdre8t454j1WRcis7S/C2j6PKZrS0HndpJCXZR2AJ6DtxTp4qMYJOUtOmn4PePpqFTDSlNtJa+v4raX4GHYafpuopJP4V1yXTt3+ut0G5V9f3bfdPuOPSrOgx+HbTWntrKaS/1QqWmvHJlI9i/QfQfjWnqnhbR9YlE13aDzu8kZKMw7gkdR25rRs7G1063W3s7eOCIdFjXApVMVGUGlKWvp+L3l+AU8NKM02lp6/gto/ic3r0fh271pLa9mksNUChobxCYifYP0P0P4VWv9P03Tkjn8Va5LqO3/U27jaren7tfvH3PHrXW3lja6jbtb3lvHPEeqyLkVnaX4W0fR5TNaWg87tJIS7KOwBPQduKdPFRjBJylp00/B7x9NQqYaUptpLX1/FbS/Aw7DT9N1FJJ/CuuS6du/11ug3Kvr+7b7p9xx6VZ0GPw7aa09tZTSX+qFS0145MpHsX6D6D8a09U8LaPrEomu7Qed3kjJRmHcEjqO3NaNnY2unW629nbxwRDosa4FKpioyg0pS19Pxe8vwCnhpRmm0tPX8FtH8Tm9ej8O3etJbXs0lhqgUNDeITET7B+h+h/Cq1/p+m6ckc/irXJdR2/wCpt3G1W9P3a/ePuePWutvLG11G3a3vLeOeI9VkXIrO0vwto+jyma0tB53aSQl2UdgCeg7cU6eKjGCTlLTpp+D3j6ahUw0pTbSWvr+K2l+Bh2Gn6bqKST+Fdcl07d/rrdBuVfX9233T7jj0qzoMfh201p7aymkv9UKlprxyZSPYv0H0H41p6p4W0fWJRNd2g87vJGSjMO4JHUdua0bOxtdOt1t7O3jgiHRY1wKVTFRlBpSlr6fi95fgFPDSjNNpaev4LaP4nN69H4du9aS2vZpLDVAoaG8QmIn2D9D9D+FVr/T9N05I5/FWuS6jt/1Nu42q3p+7X7x9zx611t5Y2uo27W95bxzxHqsi5FZ2l+FtH0eUzWloPO7SSEuyjsAT0HbinTxUYwScpadNPwe8fTUKmGlKbaS19fxW0vwMOw0/TdRSSfwrrkunbv8AXW6Dcq+v7tvun3HHpVnQY/DtprT21lNJf6oVLTXjkykexfoPoPxrT1Twto+sSia7tB53eSMlGYdwSOo7c1o2dja6dbrb2dvHBEOixrgUqmKjKDSlLX0/F7y/AKeGlGabS09fwW0fxOb16Pw7d60ltezSWGqBQ0N4hMRPsH6H6H8KrX+n6bpyRz+Ktcl1Hb/qbdxtVvT92v3j7nj1rrbyxtdRt2t7y3jniPVZFyKztL8LaPo8pmtLQed2kkJdlHYAnoO3FOnioxgk5S06afg94+moVMNKU20lr6/itpfgYdhp+m6ikk/hXXJdO3f663QblX1/dt90+449Ks6DH4dtNae2sppL/VCpaa8cmUj2L9B9B+NaeqeFtH1iUTXdoPO7yRkozDuCR1HbmtGzsbXTrdbezt44Ih0WNcClUxUZQaUpa+n4veX4BTw0ozTaWnr+C2j+JzevR+HbvWktr2aSw1QKGhvEJiJ9g/Q/Q/hVa/0/TdOSOfxVrkuo7f8AU27jaren7tfvH3PHrXW3lja6jbtb3lvHPEeqyLkVnaX4W0fR5TNaWg87tJIS7KOwBPQduKdPFRjBJylp00/B7x9NQqYaUptpLX1/FbS/Aw7DT9N1FJJ/CuuS6du/11ug3Kvr+7b7p9xx6VZ0GPw7aa09tZTSX+qFS0145MpHsX6D6D8a09U8LaPrEomu7Qed3kjJRmHcEjqO3NaNnY2unW629nbxwRDosa4FKpioyg0pS19Pxe8vwCnhpRmm0tPX8FtH8Ta+I82ky68tlrXiDU76GRFEPhfSIyJZ2xyZGU5KnOcHb04zXOSW2laVeQXE+lar8NtRkCrb30DiezlH8KzY+XPcq2Pc16F4g0nxXqPiKaPQhpei2ksSrcaz5Qlu5R/cVcDAH+0fcHtWbceB/FGgwyN4f8QyazBKP9K0vxCfOjuCfvFXxlSeeOmTzX3h8WcfHbaVqt5PcQaVqvxJ1GMMtxfXDiCziH8Sw5+XPcKufY10fw4m0mLXmstF8QanYwxowm8L6vGTLA2ODGzHIUYzgbuvOKu2/gfxRr0MbeIPEMmjQRD/AEXS/Dx8mO3I+6WfGWI446ZHFaXh/SfFeneIoY9dGl61aRRMtvrPlCK7iH9xlwcg/wCyfcntQB29VNU/5BN7/wBcH/8AQTVuigD5Vvf+Sdy/9ipaf+nRq+qqKKAPmSiiigAooooAKKKKACiiigD2TVvEGsad48OhSTwRWmsWD/2RcNHxFdoDuV/7wIIb8AB3rAh+I+rRaDoetXqxxw2d8+l+JYCgDQSZCrLn+FQ2CR/t47Vd8cXEWveONC8PrIsUGkONc1K7zg26R52Lu7FjnPQ45rj7mS41XQdSnt4Fj1H4hagsNlbunEVnEMecy+uzLEj+8poA6vUPF3ie0tvFGnxG3l1rR5lv7dfK4u9PJ3YUf3gAykjPIA6nNaWn+OJZ/GelxSSxvoHiCwWbS5doBSdRl42PqQc89wAO9clLq9tpuu6t4miLPpXhPThodkWOWvro4BVj1YA7QR6/MO9RaT4dnE/gzwLuIuNNk/t7VZU4+zNuJSFCOFyzEEDHAz3oA7fVvEGsad48OhSTwRWmsWD/ANkXDR8RXaA7lf8AvAghvwAHesCH4j6tFoOh61erHHDZ3z6X4lgKANBJkKsuf4VDYJH+3jtV3xxcRa9440Lw+sixQaQ41zUrvODbpHnYu7sWOc9DjmuPuZLjVdB1Ke3gWPUfiFqCw2Vu6cRWcQx5zL67MsSP7ymgDq9Q8XeJ7S28UafEbeXWtHmW/t18ri708ndhR/eADKSM8gDqc1paf44ln8Z6XFJLG+geILBZtLl2gFJ1GXjY+pBzz3AA71yUur22m67q3iaIs+leE9OGh2RY5a+ujgFWPVgDtBHr8w71FpPh2cT+DPAu4i402T+3tVlTj7M24lIUI4XLMQQMcDPegDt9W8Qaxp3jw6FJPBFaaxYP/ZFw0fEV2gO5X/vAghvwAHesCH4j6tFoOh61erHHDZ3z6X4lgKANBJkKsuf4VDYJH+3jtV3xxcRa9440Lw+sixQaQ41zUrvODbpHnYu7sWOc9DjmuPuZLjVdB1Ke3gWPUfiFqCw2Vu6cRWcQx5zL67MsSP7ymgDq9Q8XeJ7S28UafEbeXWtHmW/t18ri708ndhR/eADKSM8gDqc1paf44ln8Z6XFJLG+geILBZtLl2gFJ1GXjY+pBzz3AA71yUur22m67q3iaIs+leE9OGh2RY5a+ujgFWPVgDtBHr8w71FpPh2cT+DPAu4i402T+3tVlTj7M24lIUI4XLMQQMcDPegDt9W8Qaxp3jw6FJPBFaaxYP8A2RcNHxFdoDuV/wC8CCG/AAd6wIfiPq0Wg6HrV6sccNnfPpfiWAoA0EmQqy5/hUNgkf7eO1XfHFxFr3jjQvD6yLFBpDjXNSu84Nukedi7uxY5z0OOa4+5kuNV0HUp7eBY9R+IWoLDZW7pxFZxDHnMvrsyxI/vKaAOr1Dxd4ntLbxRp8Rt5da0eZb+3XyuLvTyd2FH94AMpIzyAOpzWlp/jiWfxnpcUksb6B4gsFm0uXaAUnUZeNj6kHPPcADvXJS6vbabrureJoiz6V4T04aHZFjlr66OAVY9WAO0EevzDvUWk+HZxP4M8C7iLjTZP7e1WVOPszbiUhQjhcsxBAxwM96AO31bxBrGnePDoUk8EVprFg/9kXDR8RXaA7lf+8CCG/AAd6wIfiPq0Wg6HrV6sccNnfPpfiWAoA0EmQqy5/hUNgkf7eO1XfHFxFr3jjQvD6yLFBpDjXNSu84Nukedi7uxY5z0OOa4+5kuNV0HUp7eBY9R+IWoLDZW7pxFZxDHnMvrsyxI/vKaAOr1Dxd4ntLbxRp8Rt5da0eZb+3XyuLvTyd2FH94AMpIzyAOpzWlp/jiWfxnpcUksb6B4gsFm0uXaAUnUZeNj6kHPPcADvXJS6vbabrureJoiz6V4T04aHZFjlr66OAVY9WAO0EevzDvUWk+HZxP4M8C7iLjTZP7e1WVOPszbiUhQjhcsxBAxwM96AO31bxBrGnePDoUk8EVprFg/wDZFw0fEV2gO5X/ALwIIb8AB3rAh+I+rRaDoetXqxxw2d8+l+JYCgDQSZCrLn+FQ2CR/t47Vd8cXEWveONC8PrIsUGkONc1K7zg26R52Lu7FjnPQ45rj7mS41XQdSnt4Fj1H4hagsNlbunEVnEMecy+uzLEj+8poA6vUPF3ie0tvFGnxG3l1rR5lv7dfK4u9PJ3YUf3gAykjPIA6nNaWn+OJZ/GelxSSxvoHiCwWbS5doBSdRl42PqQc89wAO9clLq9tpuu6t4miLPpXhPThodkWOWvro4BVj1YA7QR6/MO9RaT4dnE/gzwLuIuNNk/t7VZU4+zNuJSFCOFyzEEDHAz3oA7fVvEGsad48OhSTwRWmsWD/2RcNHxFdoDuV/7wIIb8AB3rAh+I+rRaDoetXqxxw2d8+l+JYCgDQSZCrLn+FQ2CR/t47Vd8cXEWveONC8PrIsUGkONc1K7zg26R52Lu7FjnPQ45rj7mS41XQdSnt4Fj1H4hagsNlbunEVnEMecy+uzLEj+8poA6vUPF3ie0tvFGnxG3l1rR5lv7dfK4u9PJ3YUf3gAykjPIA6nNaWn+OJZ/GelxSSxvoHiCwWbS5doBSdRl42PqQc89wAO9clLq9tpuu6t4miLPpXhPThodkWOWvro4BVj1YA7QR6/MO9RaT4dnE/gzwLuIuNNk/t7VZU4+zNuJSFCOFyzEEDHAz3oA7fVvEGsad48OhSTwRWmsWD/ANkXDR8RXaA7lf8AvAghvwAHesCH4j6tFoOh61erHHDZ3z6X4lgKANBJkKsuf4VDYJH+3jtV3xxcRa9440Lw+sixQaQ41zUrvODbpHnYu7sWOc9DjmuPuZLjVdB1Ke3gWPUfiFqCw2Vu6cRWcQx5zL67MsSP7ymgDq9Q8XeJ7S28UafEbeXWtHmW/t18ri708ndhR/eADKSM8gDqc1paf44ln8Z6XFJLG+geILBZtLl2gFJ1GXjY+pBzz3AA71yUur22m67q3iaIs+leE9OGh2RY5a+ujgFWPVgDtBHr8w71FpPh2cT+DPAu4i402T+3tVlTj7M24lIUI4XLMQQMcDPegD0/XvG3hzwvcxW2tarDZzSp5iI6sdy5xngHuKyf+FueAv8AoZLb/vh//iaw/ifHrz6xZHSYtceL7P8AOdOsYZ13bj1L8g+wrhHj8YxxtI8Pi5UUEsTpFrwB+NAHq/8AwtzwF/0Mlt/3w/8A8TXa18v63e3d14J1nztTmv7S60W1v4ftFtFE8TG+WMj5B6Ie/evqCgDA17xt4c8L3MVtrWqw2c0qeYiOrHcucZ4B7isn/hbngL/oZLb/AL4f/wCJrD+J8evPrFkdJi1x4vs/znTrGGdd249S/IPsK4R4/GMcbSPD4uVFBLE6Ra8AfjQB6v8A8Lc8Bf8AQyW3/fD/APxNdrXy/rd7d3XgnWfO1Oa/tLrRbW/h+0W0UTxMb5YyPkHoh796+oKAMDXvG3hzwvcxW2tarDZzSp5iI6sdy5xngHuKyf8AhbngL/oZLb/vh/8A4msP4nx68+sWR0mLXHi+z/OdOsYZ13bj1L8g+wrhHj8YxxtI8Pi5UUEsTpFrwB+NAHq//C3PAX/QyW3/AHw//wATXa18v63e3d14J1nztTmv7S60W1v4ftFtFE8TG+WMj5B6Ie/evqCgDiPEGreK9O8RTSaEdL1q0iiVrjRvNEV3EP76tk5B/wBoewHes248ceKNehkXw/4ek0aCIf6VqniEeTHbkfeCpnLEc89MjmqXxHh0mLXlvda8P6nYwxoph8UaRITLA2ORIqjIUYxk7uvGK5yS50rVbyC3n1XVfiTqMYVrexgQQWcQ/habHy57Fmz7igDsLfxx4o0GGNfEHh6TWYJR/ouqeHh50dwT90MmcqTxz0yeK0vD+reK9R8RQya6dL0W0liZrfRvNEt3KP77NkYA/wBkexHevPY7nStKvJ7eDVdV+G2oyBmuLG4QT2co/iaHPy57Blx7Cuj+HEOky6817ovh/U76GRGM3ijV5CJZ2xwI1YZKnOMjb05zQB2+veNvDnhe5itta1WGzmlTzER1Y7lzjPAPcVk/8Lc8Bf8AQyW3/fD/APxNYfxPj159YsjpMWuPF9n+c6dYwzru3HqX5B9hXCPH4xjjaR4fFyooJYnSLXgD8aAPV/8AhbngL/oZLb/vh/8A4mu1r5f1u9u7rwTrPnanNf2l1otrfw/aLaKJ4mN8sZHyD0Q9+9fUFAGBr3jbw54XuYrbWtVhs5pU8xEdWO5c4zwD3FZP/C3PAX/QyW3/AHw//wATWH8T49efWLI6TFrjxfZ/nOnWMM67tx6l+QfYVwjx+MY42keHxcqKCWJ0i14A/GgD1f8A4W54C/6GS2/74f8A+Jrta+X9bvbu68E6z52pzX9pdaLa38P2i2iieJjfLGR8g9EPfvX1BQBwfjjUPEkE8kcWr6X4b0BEHm6tcOJJ3JHKxocAHtzz3HpXG+HdWlN03/CC+OpdUuCd0ukeJCwa5774nIDDIyQBkc84roPF2nwXfjcy6f4RuNb1qOFNtzqTldOtB2YbuGboSFGeOoOaxNXi1TUrIy+JtF0nxjpSMQb7w82LqxYdVUA5YKc8A54y3pQBF4i1aUXS/wDCdeOpdLuAd0WkeGyxa2775XALHAwSDgccZrsvA+oeJJ5445dX0vxJoDofK1a3cRzoQOFkQZBPbjnufSuS0iLVNNshL4Z0XSfB2lOwAvvELZur5j0VgTlQxxwTnnK+lbfhHT4LTxuJdQ8I3Gia1JC+6501y2nXY7sdvCt1IDDPPUnFAGLRWBqNhcT6pJPpOtGC/RF8y1kYSRMvbcnVc+oqnLaeItTRjq1/BpNig/eCzf55AOp3n7o/ya/PY4eMknzpfff7uvy/A+6lXkm1yt/db7+nz/E6uiuUitPEWmIp0m/g1axcfuxeP88YPQ7x94f5FXNOsLiDVI59W1oz37o3l2sbCOJV77U6tj1NEsPGKb50/vv93T5/iEa8m0uVr7rff1+X4G/RWBqNhcT6pJPpOtGC/RF8y1kYSRMvbcnVc+oqnLaeItTRjq1/BpNig/eCzf55AOp3n7o/yaI4eMknzpfff7uvy/AJV5Jtcrf3W+/p8/xOrorlIrTxFpiKdJv4NWsXH7sXj/PGD0O8feH+RVzTrC4g1SOfVtaM9+6N5drGwjiVe+1OrY9TRLDxim+dP77/AHdPn+IRrybS5Wvut9/X5fgb9FYGo2FxPqkk+k60YL9EXzLWRhJEy9tydVz6iqctp4i1NGOrX8Gk2KD94LN/nkA6nefuj/Jojh4ySfOl99/u6/L8AlXkm1yt/db7+nz/ABOrorlIrTxFpiKdJv4NWsXH7sXj/PGD0O8feH+RVzTrC4g1SOfVtaM9+6N5drGwjiVe+1OrY9TRLDxim+dP77/d0+f4hGvJtLla+6339fl+Bv0VgajYXE+qST6TrRgv0RfMtZGEkTL23J1XPqKpy2niLU0Y6tfwaTYoP3gs3+eQDqd5+6P8miOHjJJ86X33+7r8vwCVeSbXK391vv6fP8Tq6K5SK08RaYinSb+DVrFx+7F4/wA8YPQ7x94f5FXNOsLiDVI59W1oz37o3l2sbCOJV77U6tj1NEsPGKb50/vv93T5/iEa8m0uVr7rff1+X4G/RWBqNhcT6pJPpOtGC/RF8y1kYSRMvbcnVc+oqnLaeItTRjq1/BpNig/eCzf55AOp3n7o/wAmiOHjJJ86X33+7r8vwCVeSbXK391vv6fP8Tq6K5SK08RaYinSb+DVrFx+7F4/zxg9DvH3h/kVc06wuINUjn1bWjPfujeXaxsI4lXvtTq2PU0Sw8YpvnT++/3dPn+IRrybS5Wvut9/X5fgb9FYGo2FxPqkk+k60YL9EXzLWRhJEy9tydVz6iqctp4i1NGOrX8Gk2KD94LN/nkA6nefuj/Jojh4ySfOl99/u6/L8AlXkm1yt/db7+nz/E6uiuUitPEWmIp0m/g1axcfuxeP88YPQ7x94f5FXNOsLiDVI59W1oz37o3l2sbCOJV77U6tj1NEsPGKb50/vv8Ad0+f4hGvJtLla+6339fl+Bv0VgajYXE+qST6TrRgv0RfMtZGEkTL23J1XPqKpy2niLU0Y6tfwaTYoP3gs3+eQDqd5+6P8miOHjJJ86X33+7r8vwCVeSbXK391vv6fP8AE6uiuUitPEWmIp0m/g1axcfuxeP88YPQ7x94f5FXNOsLiDVI59W1oz37o3l2sbCOJV77U6tj1NEsPGKb50/vv93T5/iEa8m0uVr7rff1+X4G/RWBqNhcT6pJPpOtGC/RF8y1kYSRMvbcnVc+oqnLaeItTRjq1/BpNig/eCzf55AOp3n7o/yaI4eMknzpfff7uvy/AJV5Jtcrf3W+/p8/xOrorlIrTxFpiKdJv4NWsXH7sXj/ADxg9DvH3h/kVc06wuINUjn1bWjPfujeXaxsI4lXvtTq2PU0Sw8YpvnT++/3dPn+IRrybS5Wvut9/X5fgel+ONQ8SQTyRxavpfhvQEQebq1w4knckcrGhwAe3PPcelcb4d1aU3Tf8IL46l1S4J3S6R4kLBrnvvicgMMjJAGRzziug8XafBd+NzLp/hG41vWo4U23OpOV060HZhu4ZuhIUZ46g5rE1eLVNSsjL4m0XSfGOlIxBvvDzYurFh1VQDlgpzwDnjLelfoR8KReItWlF0v/AAnXjqXS7gHdFpHhssWtu++VwCxwMEg4HHGa7LwPqHiSeeOOXV9L8SaA6HytWt3Ec6EDhZEGQT2457n0rktIi1TTbIS+GdF0nwdpTsAL7xC2bq+Y9FYE5UMccE55yvpW34R0+C08biXUPCNxomtSQvuudNctp12O7HbwrdSAwzz1JxQB1+veNvDnhe5itta1WGzmlTzER1Y7lzjPAPcVk/8AC3PAX/QyW3/fD/8AxNYfxPj159YsjpMWuPF9n+c6dYwzru3HqX5B9hXCPH4xjjaR4fFyooJYnSLXgD8aAPV/+FueAv8AoZLb/vh//ia7Wvl/W727uvBOs+dqc1/aXWi2t/D9otooniY3yxkfIPRD3719QUAfMlFFFABRRRQAUUUUAFFFFAHqXji3i0HxxoXiBY1lg1dxoepWmMm4STOxtvcqc56nHFcfcx3GlaDqUFvOsmo/D3UFmsrh34ls5RnyWb12ZUgf3VFehat4f1jUfHh12SCCW00ewf8Asi3aTiW7cHcz/wB0AAL+II71gQ/DjVpdB0PRb1o5Iby+fVPEs5cFp5Mhlix/EpbAJ/2M96AMyXSLbUtd1bwzEGTSvFmnDXLIMMNY3QwSzDqoJ2kn1+Ud6i0nxFOZ/BnjraTcalJ/YOqxJz9pbcQkyAcNhlJJGeDjtXQah4R8T3dt4o1CIW8WtaxMthbt5vFpp4O3Kn+8QWYgY5IPUYrS0/wPLB4z0uWSKNNA8P2Cw6XFuBLzsMPIw9QBjnuQR3oApeOLeLQfHGheIFjWWDV3Gh6laYybhJM7G29ypznqccVx9zHcaVoOpQW86yaj8PdQWayuHfiWzlGfJZvXZlSB/dUV6Fq3h/WNR8eHXZIIJbTR7B/7It2k4lu3B3M/90AAL+II71gQ/DjVpdB0PRb1o5Iby+fVPEs5cFp5Mhlix/EpbAJ/2M96AMyXSLbUtd1bwzEGTSvFmnDXLIMMNY3QwSzDqoJ2kn1+Ud6i0nxFOZ/BnjraTcalJ/YOqxJz9pbcQkyAcNhlJJGeDjtXQah4R8T3dt4o1CIW8WtaxMthbt5vFpp4O3Kn+8QWYgY5IPUYrS0/wPLB4z0uWSKNNA8P2Cw6XFuBLzsMPIw9QBjnuQR3oApeOLeLQfHGheIFjWWDV3Gh6laYybhJM7G29ypznqccVx9zHcaVoOpQW86yaj8PdQWayuHfiWzlGfJZvXZlSB/dUV6Fq3h/WNR8eHXZIIJbTR7B/wCyLdpOJbtwdzP/AHQAAv4gjvWBD8ONWl0HQ9FvWjkhvL59U8SzlwWnkyGWLH8SlsAn/Yz3oAzJdIttS13VvDMQZNK8WacNcsgww1jdDBLMOqgnaSfX5R3qLSfEU5n8GeOtpNxqUn9g6rEnP2ltxCTIBw2GUkkZ4OO1dBqHhHxPd23ijUIhbxa1rEy2Fu3m8Wmng7cqf7xBZiBjkg9RitLT/A8sHjPS5ZIo00Dw/YLDpcW4EvOww8jD1AGOe5BHegCl44t4tB8caF4gWNZYNXcaHqVpjJuEkzsbb3KnOepxxXH3MdxpWg6lBbzrJqPw91BZrK4d+JbOUZ8lm9dmVIH91RXoWreH9Y1Hx4ddkggltNHsH/si3aTiW7cHcz/3QAAv4gjvWBD8ONWl0HQ9FvWjkhvL59U8SzlwWnkyGWLH8SlsAn/Yz3oAzJdIttS13VvDMQZNK8WacNcsgww1jdDBLMOqgnaSfX5R3qLSfEU5n8GeOtpNxqUn9g6rEnP2ltxCTIBw2GUkkZ4OO1dBqHhHxPd23ijUIhbxa1rEy2Fu3m8Wmng7cqf7xBZiBjkg9RitLT/A8sHjPS5ZIo00Dw/YLDpcW4EvOww8jD1AGOe5BHegCl44t4tB8caF4gWNZYNXcaHqVpjJuEkzsbb3KnOepxxXH3MdxpWg6lBbzrJqPw91BZrK4d+JbOUZ8lm9dmVIH91RXoWreH9Y1Hx4ddkggltNHsH/ALIt2k4lu3B3M/8AdAAC/iCO9YEPw41aXQdD0W9aOSG8vn1TxLOXBaeTIZYsfxKWwCf9jPegDMl0i21LXdW8MxBk0rxZpw1yyDDDWN0MEsw6qCdpJ9flHeotJ8RTmfwZ462k3GpSf2DqsSc/aW3EJMgHDYZSSRng47V0GoeEfE93beKNQiFvFrWsTLYW7ebxaaeDtyp/vEFmIGOSD1GK0tP8DyweM9LlkijTQPD9gsOlxbgS87DDyMPUAY57kEd6AKXji3i0HxxoXiBY1lg1dxoepWmMm4STOxtvcqc56nHFcfcx3GlaDqUFvOsmo/D3UFmsrh34ls5RnyWb12ZUgf3VFehat4f1jUfHh12SCCW00ewf+yLdpOJbtwdzP/dAAC/iCO9YEPw41aXQdD0W9aOSG8vn1TxLOXBaeTIZYsfxKWwCf9jPegDMl0i21LXdW8MxBk0rxZpw1yyDDDWN0MEsw6qCdpJ9flHeotJ8RTmfwZ462k3GpSf2DqsSc/aW3EJMgHDYZSSRng47V0GoeEfE93beKNQiFvFrWsTLYW7ebxaaeDtyp/vEFmIGOSD1GK0tP8DyweM9LlkijTQPD9gsOlxbgS87DDyMPUAY57kEd6AKXji3i0HxxoXiBY1lg1dxoepWmMm4STOxtvcqc56nHFcfcx3GlaDqUFvOsmo/D3UFmsrh34ls5RnyWb12ZUgf3VFehat4f1jUfHh12SCCW00ewf8Asi3aTiW7cHcz/wB0AAL+II71gQ/DjVpdB0PRb1o5Iby+fVPEs5cFp5Mhlix/EpbAJ/2M96AMyXSLbUtd1bwzEGTSvFmnDXLIMMNY3QwSzDqoJ2kn1+Ud6i0nxFOZ/BnjraTcalJ/YOqxJz9pbcQkyAcNhlJJGeDjtXQah4R8T3dt4o1CIW8WtaxMthbt5vFpp4O3Kn+8QWYgY5IPUYrS0/wPLB4z0uWSKNNA8P2Cw6XFuBLzsMPIw9QBjnuQR3oApeOLeLQfHGheIFjWWDV3Gh6laYybhJM7G29ypznqccVx9zHcaVoOpQW86yaj8PdQWayuHfiWzlGfJZvXZlSB/dUV6Fq3h/WNR8eHXZIIJbTR7B/7It2k4lu3B3M/90AAL+II71gQ/DjVpdB0PRb1o5Iby+fVPEs5cFp5Mhlix/EpbAJ/2M96AMyXSLbUtd1bwzEGTSvFmnDXLIMMNY3QwSzDqoJ2kn1+Ud6i0nxFOZ/BnjraTcalJ/YOqxJz9pbcQkyAcNhlJJGeDjtXQah4R8T3dt4o1CIW8WtaxMthbt5vFpp4O3Kn+8QWYgY5IPUYrS0/wPLB4z0uWSKNNA8P2Cw6XFuBLzsMPIw9QBjnuQR3oA7yqmqf8gm9/wCuD/8AoJq3RQB8q3v/ACTuX/sVLT/06NX1VRRQAVU1T/kE3v8A1wf/ANBNW6KAPlW9/wCSdy/9ipaf+nRq+qqKKACqmqf8gm9/64P/AOgmrdFAHyre/wDJO5f+xUtP/To1fVVFFAHmPi7UILTxuYtP8XXGia1JCm221JC2nXY7KN3Ct0BKnPPQnNYmry6pptkYvE2taT4O0p2JNj4eXN1fMerKQMqGOeQM84b1rrfHGn+JJ55JItI0vxJoDoPN0m4QRzoQOWjc5BPfnnsPWuN8O6TKLpv+EF8Cy6XcA7ZdX8SBi1t22RISWOBkAjA45zQBLpEuqalZCLwzrWk+MdKRgRY+IVxdWLDozEjLBTjkjPGF9a2/COoQXfjcRah4uuNb1qOF91tpqFdOtB3U7eGbqAWOeOgOK5/xFpMpul/4TrwLLqlwTti1fw2GDXPbZKgIYZGAScjnjFdl4H0/xJBPHJLpGl+G9ARD5Wk26CSdyRw0jjAB78c9j60Ad5VTVP8AkE3v/XB//QTVuigD5Vvf+Sdy/wDYqWn/AKdGr6qoooAKqap/yCb3/rg//oJq3RQB8q3v/JO5f+xUtP8A06NX1VRRQB5T8R5tJl15bLWvEGp30MiKIfC+kRkSztjkyMpyVOc4O3pxmuckttK0q8guJ9K1X4bajIFW3voHE9nKP4Vmx8ue5Vse5r0LxBpPivUfEU0ehDS9FtJYlW41nyhLdyj+4q4GAP8AaPuD2rNuPA/ijQYZG8P+IZNZglH+laX4hPnR3BP3ir4ypPPHTJ5oA4+O20rVbye4g0rVfiTqMYZbi+uHEFnEP4lhz8ue4Vc+xro/hxNpMWvNZaL4g1OxhjRhN4X1eMmWBscGNmOQoxnA3decVdt/A/ijXoY28QeIZNGgiH+i6X4ePkx25H3Sz4yxHHHTI4rS8P6T4r07xFDHro0vWrSKJlt9Z8oRXcQ/uMuDkH/ZPuT2oA8i16Pw7d60ltezSWGqBQ0N4hMRPsH6H6H8KrX+n6bpyRz+Ktcl1Hb/AKm3cbVb0/dr94+549a628sbXUbdre8t454j1WRcis7S/C2j6PKZrS0HndpJCXZR2AJ6DtxXwlPFRjBJylp00/B7x9NT7SphpSm2ktfX8VtL8DDsNP03UUkn8K65Lp27/XW6Dcq+v7tvun3HHpVnQY/DtprT21lNJf6oVLTXjkykexfoPoPxrT1Twto+sSia7tB53eSMlGYdwSOo7c1o2dja6dbrb2dvHBEOixrgUqmKjKDSlLX0/F7y/AKeGlGabS09fwW0fxOb16Pw7d60ltezSWGqBQ0N4hMRPsH6H6H8KrX+n6bpyRz+Ktcl1Hb/AKm3cbVb0/dr94+549a628sbXUbdre8t454j1WRcis7S/C2j6PKZrS0HndpJCXZR2AJ6DtxTp4qMYJOUtOmn4PePpqFTDSlNtJa+v4raX4GHYafpuopJP4V1yXTt3+ut0G5V9f3bfdPuOPSrOgx+HbTWntrKaS/1QqWmvHJlI9i/QfQfjWnqnhbR9YlE13aDzu8kZKMw7gkdR25rRs7G1063W3s7eOCIdFjXApVMVGUGlKWvp+L3l+AU8NKM02lp6/gto/ic3r0fh271pLa9mksNUChobxCYifYP0P0P4VWv9P03Tkjn8Va5LqO3/U27jaren7tfvH3PHrXW3lja6jbtb3lvHPEeqyLkVnaX4W0fR5TNaWg87tJIS7KOwBPQduKdPFRjBJylp00/B7x9NQqYaUptpLX1/FbS/Aw7DT9N1FJJ/CuuS6du/wBdboNyr6/u2+6fccelWdBj8O2mtPbWU0l/qhUtNeOTKR7F+g+g/GtPVPC2j6xKJru0Hnd5IyUZh3BI6jtzWjZ2Nrp1utvZ28cEQ6LGuBSqYqMoNKUtfT8XvL8Ap4aUZptLT1/BbR/E5vXo/Dt3rSW17NJYaoFDQ3iExE+wfofofwqtf6fpunJHP4q1yXUdv+pt3G1W9P3a/ePuePWutvLG11G3a3vLeOeI9VkXIrO0vwto+jyma0tB53aSQl2UdgCeg7cU6eKjGCTlLTpp+D3j6ahUw0pTbSWvr+K2l+Bh2Gn6bqKST+Fdcl07d/rrdBuVfX9233T7jj0qzoMfh201p7aymkv9UKlprxyZSPYv0H0H41p6p4W0fWJRNd2g87vJGSjMO4JHUdua0bOxtdOt1t7O3jgiHRY1wKVTFRlBpSlr6fi95fgFPDSjNNpaev4LaP4nN69H4du9aS2vZpLDVAoaG8QmIn2D9D9D+FVr/T9N05I5/FWuS6jt/wBTbuNqt6fu1+8fc8etdbeWNrqNu1veW8c8R6rIuRWdpfhbR9HlM1paDzu0khLso7AE9B24p08VGMEnKWnTT8HvH01CphpSm2ktfX8VtL8DDsNP03UUkn8K65Lp27/XW6Dcq+v7tvun3HHpVnQY/DtprT21lNJf6oVLTXjkykexfoPoPxrT1Twto+sSia7tB53eSMlGYdwSOo7c1o2dja6dbrb2dvHBEOixrgUqmKjKDSlLX0/F7y/AKeGlGabS09fwW0fxOb16Pw7d60ltezSWGqBQ0N4hMRPsH6H6H8KrX+n6bpyRz+Ktcl1Hb/qbdxtVvT92v3j7nj1rrbyxtdRt2t7y3jniPVZFyKztL8LaPo8pmtLQed2kkJdlHYAnoO3FOnioxgk5S06afg94+moVMNKU20lr6/itpfgYdhp+m6ikk/hXXJdO3f663QblX1/dt90+449Ks6DH4dtNae2sppL/AFQqWmvHJlI9i/QfQfjWnqnhbR9YlE13aDzu8kZKMw7gkdR25rRs7G1063W3s7eOCIdFjXApVMVGUGlKWvp+L3l+AU8NKM02lp6/gto/ic3r0fh271pLa9mksNUChobxCYifYP0P0P4VWv8AT9N05I5/FWuS6jt/1Nu42q3p+7X7x9zx611t5Y2uo27W95bxzxHqsi5FZ2l+FtH0eUzWloPO7SSEuyjsAT0HbinTxUYwScpadNPwe8fTUKmGlKbaS19fxW0vwMOw0/TdRSSfwrrkunbv9dboNyr6/u2+6fccelWdBj8O2mtPbWU0l/qhUtNeOTKR7F+g+g/GtPVPC2j6xKJru0Hnd5IyUZh3BI6jtzWjZ2Nrp1utvZ28cEQ6LGuBSqYqMoNKUtfT8XvL8Ap4aUZptLT1/BbR/E5vXo/Dt3rSW17NJYaoFDQ3iExE+wfofofwqtf6fpunJHP4q1yXUdv+pt3G1W9P3a/ePuePWutvLG11G3a3vLeOeI9VkXIrO0vwto+jyma0tB53aSQl2UdgCeg7cU6eKjGCTlLTpp+D3j6ahUw0pTbSWvr+K2l+Bh2Gn6bqKST+Fdcl07d/rrdBuVfX9233T7jj0qzoMfh201p7aymkv9UKlprxyZSPYv0H0H41p6p4W0fWJRNd2g87vJGSjMO4JHUdua0bOxtdOt1t7O3jgiHRY1wKVTFRlBpSlr6fi95fgFPDSjNNpaev4LaP4m18R5tJl15bLWvEGp30MiKIfC+kRkSztjkyMpyVOc4O3pxmuckttK0q8guJ9K1X4bajIFW3voHE9nKP4Vmx8ue5Vse5r0LxBpPivUfEU0ehDS9FtJYlW41nyhLdyj+4q4GAP9o+4Pas248D+KNBhkbw/wCIZNZglH+laX4hPnR3BP3ir4ypPPHTJ5r7w+LOPjttK1W8nuINK1X4k6jGGW4vrhxBZxD+JYc/LnuFXPsa6P4cTaTFrzWWi+INTsYY0YTeF9XjJlgbHBjZjkKMZwN3XnFXbfwP4o16GNvEHiGTRoIh/oul+Hj5MduR90s+MsRxx0yOK0vD+k+K9O8RQx66NL1q0iiZbfWfKEV3EP7jLg5B/wBk+5PagDt6qap/yCb3/rg//oJq3RQB8q3v/JO5f+xUtP8A06NX1VRRQB8yUUUUAFFFFABRRRQAUUUUAeyat4g1jTvHh0KSeCK01iwf+yLho+IrtAdyv/eBBDfgAO9YEPxH1aLQdD1q9WOOGzvn0vxLAUAaCTIVZc/wqGwSP9vHarvji4i17xxoXh9ZFig0hxrmpXecG3SPOxd3Ysc56HHNcfcyXGq6DqU9vAseo/ELUFhsrd04is4hjzmX12ZYkf3lNAHV6h4u8T2lt4o0+I28utaPMt/br5XF3p5O7Cj+8AGUkZ5AHU5rS0/xxLP4z0uKSWN9A8QWCzaXLtAKTqMvGx9SDnnuAB3rkpdXttN13VvE0RZ9K8J6cNDsixy19dHAKserAHaCPX5h3qLSfDs4n8GeBdxFxpsn9varKnH2ZtxKQoRwuWYggY4Ge9AHb6t4g1jTvHh0KSeCK01iwf8Asi4aPiK7QHcr/wB4EEN+AA71gQ/EfVotB0PWr1Y44bO+fS/EsBQBoJMhVlz/AAqGwSP9vHarvji4i17xxoXh9ZFig0hxrmpXecG3SPOxd3Ysc56HHNcfcyXGq6DqU9vAseo/ELUFhsrd04is4hjzmX12ZYkf3lNAHV6h4u8T2lt4o0+I28utaPMt/br5XF3p5O7Cj+8AGUkZ5AHU5rS0/wAcSz+M9LikljfQPEFgs2ly7QCk6jLxsfUg557gAd65KXV7bTdd1bxNEWfSvCenDQ7IsctfXRwCrHqwB2gj1+Yd6i0nw7OJ/BngXcRcabJ/b2qypx9mbcSkKEcLlmIIGOBnvQB2+reINY07x4dCkngitNYsH/si4aPiK7QHcr/3gQQ34ADvWBD8R9Wi0HQ9avVjjhs759L8SwFAGgkyFWXP8KhsEj/bx2q744uIte8caF4fWRYoNIca5qV3nBt0jzsXd2LHOehxzXH3Mlxqug6lPbwLHqPxC1BYbK3dOIrOIY85l9dmWJH95TQB1eoeLvE9pbeKNPiNvLrWjzLf26+Vxd6eTuwo/vABlJGeQB1Oa0tP8cSz+M9LikljfQPEFgs2ly7QCk6jLxsfUg557gAd65KXV7bTdd1bxNEWfSvCenDQ7IsctfXRwCrHqwB2gj1+Yd6i0nw7OJ/BngXcRcabJ/b2qypx9mbcSkKEcLlmIIGOBnvQB2+reINY07x4dCkngitNYsH/ALIuGj4iu0B3K/8AeBBDfgAO9YEPxH1aLQdD1q9WOOGzvn0vxLAUAaCTIVZc/wAKhsEj/bx2q744uIte8caF4fWRYoNIca5qV3nBt0jzsXd2LHOehxzXH3Mlxqug6lPbwLHqPxC1BYbK3dOIrOIY85l9dmWJH95TQB1eoeLvE9pbeKNPiNvLrWjzLf26+Vxd6eTuwo/vABlJGeQB1Oa0tP8AHEs/jPS4pJY30DxBYLNpcu0ApOoy8bH1IOee4AHeuSl1e203XdW8TRFn0rwnpw0OyLHLX10cAqx6sAdoI9fmHeotJ8OzifwZ4F3EXGmyf29qsqcfZm3EpChHC5ZiCBjgZ70Advq3iDWNO8eHQpJ4IrTWLB/7IuGj4iu0B3K/94EEN+AA71gQ/EfVotB0PWr1Y44bO+fS/EsBQBoJMhVlz/CobBI/28dqu+OLiLXvHGheH1kWKDSHGuald5wbdI87F3dixznocc1x9zJcaroOpT28Cx6j8QtQWGyt3TiKziGPOZfXZliR/eU0AdXqHi7xPaW3ijT4jby61o8y39uvlcXenk7sKP7wAZSRnkAdTmtLT/HEs/jPS4pJY30DxBYLNpcu0ApOoy8bH1IOee4AHeuSl1e203XdW8TRFn0rwnpw0OyLHLX10cAqx6sAdoI9fmHeotJ8OzifwZ4F3EXGmyf29qsqcfZm3EpChHC5ZiCBjgZ70Advq3iDWNO8eHQpJ4IrTWLB/wCyLho+IrtAdyv/AHgQQ34ADvWBD8R9Wi0HQ9avVjjhs759L8SwFAGgkyFWXP8ACobBI/28dqu+OLiLXvHGheH1kWKDSHGuald5wbdI87F3dixznocc1x9zJcaroOpT28Cx6j8QtQWGyt3TiKziGPOZfXZliR/eU0AdXqHi7xPaW3ijT4jby61o8y39uvlcXenk7sKP7wAZSRnkAdTmtLT/ABxLP4z0uKSWN9A8QWCzaXLtAKTqMvGx9SDnnuAB3rkpdXttN13VvE0RZ9K8J6cNDsixy19dHAKserAHaCPX5h3qLSfDs4n8GeBdxFxpsn9varKnH2ZtxKQoRwuWYggY4Ge9AHb6t4g1jTvHh0KSeCK01iwf+yLho+IrtAdyv/eBBDfgAO9YEPxH1aLQdD1q9WOOGzvn0vxLAUAaCTIVZc/wqGwSP9vHarvji4i17xxoXh9ZFig0hxrmpXecG3SPOxd3Ysc56HHNcfcyXGq6DqU9vAseo/ELUFhsrd04is4hjzmX12ZYkf3lNAHV6h4u8T2lt4o0+I28utaPMt/br5XF3p5O7Cj+8AGUkZ5AHU5rS0/xxLP4z0uKSWN9A8QWCzaXLtAKTqMvGx9SDnnuAB3rkpdXttN13VvE0RZ9K8J6cNDsixy19dHAKserAHaCPX5h3qLSfDs4n8GeBdxFxpsn9varKnH2ZtxKQoRwuWYggY4Ge9AHb6t4g1jTvHh0KSeCK01iwf8Asi4aPiK7QHcr/wB4EEN+AA71gQ/EfVotB0PWr1Y44bO+fS/EsBQBoJMhVlz/AAqGwSP9vHarvji4i17xxoXh9ZFig0hxrmpXecG3SPOxd3Ysc56HHNcfcyXGq6DqU9vAseo/ELUFhsrd04is4hjzmX12ZYkf3lNAHV6h4u8T2lt4o0+I28utaPMt/br5XF3p5O7Cj+8AGUkZ5AHU5rS0/wAcSz+M9LikljfQPEFgs2ly7QCk6jLxsfUg557gAd65KXV7bTdd1bxNEWfSvCenDQ7IsctfXRwCrHqwB2gj1+Yd6i0nw7OJ/BngXcRcabJ/b2qypx9mbcSkKEcLlmIIGOBnvQB6fr3jbw54XuYrbWtVhs5pU8xEdWO5c4zwD3FZP/C3PAX/AEMlt/3w/wD8TWH8T49efWLI6TFrjxfZ/nOnWMM67tx6l+QfYVwjx+MY42keHxcqKCWJ0i14A/GgD1f/AIW54C/6GS2/74f/AOJrta+X9bvbu68E6z52pzX9pdaLa38P2i2iieJjfLGR8g9EPfvX1BQBweoeOJYPGeqRRyxpoHh+wabVJdoJedhlI1PqAM8dyQe1Zun+LvE93beF9PlNvFrWsTNf3C+VxaaeDuww/vEFVBOOSR1Ga5/VvDs5n8Z+BdxNxqUn9vaVK/P2ltwLwuTw2GUAA54Oe1Sxavbalruk+JpSyaV4s046HelThrG6GQFU9VBO4AevzHtQBpzfEfVpdB1zWrJY5Iby+TS/DUAQFp5MlWlz/EpbJA/2Md639J8QaxqPjwaFHPBLaaPYJ/a9wsfEt24G1U/ugAFvxIPavPbaS40rQdNnuIFk1H4e6g0N7bqnEtnKMecq+uzDAn+6xrsPA9xFoPjjXfD7SLLBq7nXNNu85NwkmN67u5U4x1OOaALuoeOJYPGeqRRyxpoHh+wabVJdoJedhlI1PqAM8dyQe1Zun+LvE93beF9PlNvFrWsTNf3C+VxaaeDuww/vEFVBOOSR1Ga5/VvDs5n8Z+BdxNxqUn9vaVK/P2ltwLwuTw2GUAA54Oe1Sxavbalruk+JpSyaV4s046HelThrG6GQFU9VBO4AevzHtQBpzfEfVpdB1zWrJY5Iby+TS/DUAQFp5MlWlz/EpbJA/wBjHet/SfEGsaj48GhRzwS2mj2Cf2vcLHxLduBtVP7oABb8SD2rz22kuNK0HTZ7iBZNR+HuoNDe26pxLZyjHnKvrswwJ/usa7DwPcRaD4413w+0iywau51zTbvOTcJJjeu7uVOMdTjmgDS8Qat4r07xFNJoR0vWrSKJWuNG80RXcQ/vq2TkH/aHsB3rNuPHHijXoZF8P+HpNGgiH+lap4hHkx25H3gqZyxHPPTI5ql8R4dJi15b3WvD+p2MMaKYfFGkSEywNjkSKoyFGMZO7rxiuckudK1W8gt59V1X4k6jGFa3sYEEFnEP4Wmx8uexZs+4oA7C38ceKNBhjXxB4ek1mCUf6Lqnh4edHcE/dDJnKk8c9MnitLw/q3ivUfEUMmunS9FtJYma30bzRLdyj++zZGAP9kexHevPY7nStKvJ7eDVdV+G2oyBmuLG4QT2co/iaHPy57Blx7Cuj+HEOky6817ovh/U76GRGM3ijV5CJZ2xwI1YZKnOMjb05zQB2+veNvDnhe5itta1WGzmlTzER1Y7lzjPAPcVk/8AC3PAX/QyW3/fD/8AxNYfxPj159YsjpMWuPF9n+c6dYwzru3HqX5B9hXCPH4xjjaR4fFyooJYnSLXgD8aAPV/+FueAv8AoZLb/vh//ia7Wvl/W727uvBOs+dqc1/aXWi2t/D9otooniY3yxkfIPRD3719QUAYGveNvDnhe5itta1WGzmlTzER1Y7lzjPAPcVk/wDC3PAX/QyW3/fD/wDxNYfxPj159YsjpMWuPF9n+c6dYwzru3HqX5B9hXCPH4xjjaR4fFyooJYnSLXgD8aAPV/+FueAv+hktv8Avh//AImu1r5f1u9u7rwTrPnanNf2l1otrfw/aLaKJ4mN8sZHyD0Q9+9fUFAHB+ONQ8SQTyRxavpfhvQEQebq1w4knckcrGhwAe3PPcelcb4d1aU3Tf8ACC+OpdUuCd0ukeJCwa5774nIDDIyQBkc84roPF2nwXfjcy6f4RuNb1qOFNtzqTldOtB2YbuGboSFGeOoOaxNXi1TUrIy+JtF0nxjpSMQb7w82LqxYdVUA5YKc8A54y3pQBF4i1aUXS/8J146l0u4B3RaR4bLFrbvvlcAscDBIOBxxmuy8D6h4knnjjl1fS/EmgOh8rVrdxHOhA4WRBkE9uOe59K5LSItU02yEvhnRdJ8HaU7AC+8Qtm6vmPRWBOVDHHBOecr6Vt+EdPgtPG4l1DwjcaJrUkL7rnTXLaddjux28K3UgMM89ScUAYtFYGo2FxPqkk+k60YL9EXzLWRhJEy9tydVz6iqctp4i1NGOrX8Gk2KD94LN/nkA6nefuj/Jr89jh4ySfOl99/u6/L8D7qVeSbXK391vv6fP8AE6uiuUitPEWmIp0m/g1axcfuxeP88YPQ7x94f5FXNOsLiDVI59W1oz37o3l2sbCOJV77U6tj1NEsPGKb50/vv93T5/iEa8m0uVr7rff1+X4G/RWBqNhcT6pJPpOtGC/RF8y1kYSRMvbcnVc+oqnLaeItTRjq1/BpNig/eCzf55AOp3n7o/yaI4eMknzpfff7uvy/AJV5Jtcrf3W+/p8/xOrorlIrTxFpiKdJv4NWsXH7sXj/ADxg9DvH3h/kVc06wuINUjn1bWjPfujeXaxsI4lXvtTq2PU0Sw8YpvnT++/3dPn+IRrybS5Wvut9/X5fgb9FYGo2FxPqkk+k60YL9EXzLWRhJEy9tydVz6iqctp4i1NGOrX8Gk2KD94LN/nkA6nefuj/ACaI4eMknzpfff7uvy/AJV5Jtcrf3W+/p8/xOrorlIrTxFpiKdJv4NWsXH7sXj/PGD0O8feH+RVzTrC4g1SOfVtaM9+6N5drGwjiVe+1OrY9TRLDxim+dP77/d0+f4hGvJtLla+6339fl+Bv0VgajYXE+qST6TrRgv0RfMtZGEkTL23J1XPqKpy2niLU0Y6tfwaTYoP3gs3+eQDqd5+6P8miOHjJJ86X33+7r8vwCVeSbXK391vv6fP8Tq6K5SK08RaYinSb+DVrFx+7F4/zxg9DvH3h/kVc06wuINUjn1bWjPfujeXaxsI4lXvtTq2PU0Sw8YpvnT++/wB3T5/iEa8m0uVr7rff1+X4G/RWBqNhcT6pJPpOtGC/RF8y1kYSRMvbcnVc+oqnLaeItTRjq1/BpNig/eCzf55AOp3n7o/yaI4eMknzpfff7uvy/AJV5Jtcrf3W+/p8/wATq6K5SK08RaYinSb+DVrFx+7F4/zxg9DvH3h/kVc06wuINUjn1bWjPfujeXaxsI4lXvtTq2PU0Sw8YpvnT++/3dPn+IRrybS5Wvut9/X5fgb9FYGo2FxPqkk+k60YL9EXzLWRhJEy9tydVz6iqctp4i1NGOrX8Gk2KD94LN/nkA6nefuj/Jojh4ySfOl99/u6/L8AlXkm1yt/db7+nz/E6uiuUitPEWmIp0m/g1axcfuxeP8APGD0O8feH+RVzTrC4g1SOfVtaM9+6N5drGwjiVe+1OrY9TRLDxim+dP77/d0+f4hGvJtLla+6339fl+Bv0VgajYXE+qST6TrRgv0RfMtZGEkTL23J1XPqKpy2niLU0Y6tfwaTYoP3gs3+eQDqd5+6P8AJojh4ySfOl99/u6/L8AlXkm1yt/db7+nz/E6uiuUitPEWmIp0m/g1axcfuxeP88YPQ7x94f5FXNOsLiDVI59W1oz37o3l2sbCOJV77U6tj1NEsPGKb50/vv93T5/iEa8m0uVr7rff1+X4G/RWBqNhcT6pJPpOtGC/RF8y1kYSRMvbcnVc+oqnLaeItTRjq1/BpNig/eCzf55AOp3n7o/yaI4eMknzpfff7uvy/AJV5Jtcrf3W+/p8/xOrorlIrTxFpiKdJv4NWsXH7sXj/PGD0O8feH+RVzTrC4g1SOfVtaM9+6N5drGwjiVe+1OrY9TRLDxim+dP77/AHdPn+IRrybS5Wvut9/X5fgel+ONQ8SQTyRxavpfhvQEQebq1w4knckcrGhwAe3PPcelcb4d1aU3Tf8ACC+OpdUuCd0ukeJCwa5774nIDDIyQBkc84roPF2nwXfjcy6f4RuNb1qOFNtzqTldOtB2YbuGboSFGeOoOaxNXi1TUrIy+JtF0nxjpSMQb7w82LqxYdVUA5YKc8A54y3pX6EfCkXiLVpRdL/wnXjqXS7gHdFpHhssWtu++VwCxwMEg4HHGa7LwPqHiSeeOOXV9L8SaA6HytWt3Ec6EDhZEGQT2457n0rktIi1TTbIS+GdF0nwdpTsAL7xC2bq+Y9FYE5UMccE55yvpW34R0+C08biXUPCNxomtSQvuudNctp12O7HbwrdSAwzz1JxQB1+veNvDnhe5itta1WGzmlTzER1Y7lzjPAPcVk/8Lc8Bf8AQyW3/fD/APxNYfxPj159YsjpMWuPF9n+c6dYwzru3HqX5B9hXCPH4xjjaR4fFyooJYnSLXgD8aAPV/8AhbngL/oZLb/vh/8A4mu1r5f1u9u7rwTrPnanNf2l1otrfw/aLaKJ4mN8sZHyD0Q9+9fUFAHzJRRRQAUUUUAFFFFABRRRQB6l44t4tB8caF4gWNZYNXcaHqVpjJuEkzsbb3KnOepxxXH3MdxpWg6lBbzrJqPw91BZrK4d+JbOUZ8lm9dmVIH91RXoWreH9Y1Hx4ddkggltNHsH/si3aTiW7cHcz/3QAAv4gjvWBD8ONWl0HQ9FvWjkhvL59U8SzlwWnkyGWLH8SlsAn/Yz3oAzJdIttS13VvDMQZNK8WacNcsgww1jdDBLMOqgnaSfX5R3qLSfEU5n8GeOtpNxqUn9g6rEnP2ltxCTIBw2GUkkZ4OO1dBqHhHxPd23ijUIhbxa1rEy2Fu3m8Wmng7cqf7xBZiBjkg9RitLT/A8sHjPS5ZIo00Dw/YLDpcW4EvOww8jD1AGOe5BHegCl44t4tB8caF4gWNZYNXcaHqVpjJuEkzsbb3KnOepxxXH3MdxpWg6lBbzrJqPw91BZrK4d+JbOUZ8lm9dmVIH91RXoWreH9Y1Hx4ddkggltNHsH/ALIt2k4lu3B3M/8AdAAC/iCO9YEPw41aXQdD0W9aOSG8vn1TxLOXBaeTIZYsfxKWwCf9jPegDMl0i21LXdW8MxBk0rxZpw1yyDDDWN0MEsw6qCdpJ9flHeotJ8RTmfwZ462k3GpSf2DqsSc/aW3EJMgHDYZSSRng47V0GoeEfE93beKNQiFvFrWsTLYW7ebxaaeDtyp/vEFmIGOSD1GK0tP8DyweM9LlkijTQPD9gsOlxbgS87DDyMPUAY57kEd6AKXji3i0HxxoXiBY1lg1dxoepWmMm4STOxtvcqc56nHFcfcx3GlaDqUFvOsmo/D3UFmsrh34ls5RnyWb12ZUgf3VFehat4f1jUfHh12SCCW00ewf+yLdpOJbtwdzP/dAAC/iCO9YEPw41aXQdD0W9aOSG8vn1TxLOXBaeTIZYsfxKWwCf9jPegDMl0i21LXdW8MxBk0rxZpw1yyDDDWN0MEsw6qCdpJ9flHeotJ8RTmfwZ462k3GpSf2DqsSc/aW3EJMgHDYZSSRng47V0GoeEfE93beKNQiFvFrWsTLYW7ebxaaeDtyp/vEFmIGOSD1GK0tP8DyweM9LlkijTQPD9gsOlxbgS87DDyMPUAY57kEd6AKXji3i0HxxoXiBY1lg1dxoepWmMm4STOxtvcqc56nHFcfcx3GlaDqUFvOsmo/D3UFmsrh34ls5RnyWb12ZUgf3VFehat4f1jUfHh12SCCW00ewf8Asi3aTiW7cHcz/wB0AAL+II71gQ/DjVpdB0PRb1o5Iby+fVPEs5cFp5Mhlix/EpbAJ/2M96AMyXSLbUtd1bwzEGTSvFmnDXLIMMNY3QwSzDqoJ2kn1+Ud6i0nxFOZ/BnjraTcalJ/YOqxJz9pbcQkyAcNhlJJGeDjtXQah4R8T3dt4o1CIW8WtaxMthbt5vFpp4O3Kn+8QWYgY5IPUYrS0/wPLB4z0uWSKNNA8P2Cw6XFuBLzsMPIw9QBjnuQR3oApeOLeLQfHGheIFjWWDV3Gh6laYybhJM7G29ypznqccVx9zHcaVoOpQW86yaj8PdQWayuHfiWzlGfJZvXZlSB/dUV6Fq3h/WNR8eHXZIIJbTR7B/7It2k4lu3B3M/90AAL+II71gQ/DjVpdB0PRb1o5Iby+fVPEs5cFp5Mhlix/EpbAJ/2M96AMyXSLbUtd1bwzEGTSvFmnDXLIMMNY3QwSzDqoJ2kn1+Ud6i0nxFOZ/BnjraTcalJ/YOqxJz9pbcQkyAcNhlJJGeDjtXQah4R8T3dt4o1CIW8WtaxMthbt5vFpp4O3Kn+8QWYgY5IPUYrS0/wPLB4z0uWSKNNA8P2Cw6XFuBLzsMPIw9QBjnuQR3oApeOLeLQfHGheIFjWWDV3Gh6laYybhJM7G29ypznqccVx9zHcaVoOpQW86yaj8PdQWayuHfiWzlGfJZvXZlSB/dUV6Fq3h/WNR8eHXZIIJbTR7B/wCyLdpOJbtwdzP/AHQAAv4gjvWBD8ONWl0HQ9FvWjkhvL59U8SzlwWnkyGWLH8SlsAn/Yz3oAzJdIttS13VvDMQZNK8WacNcsgww1jdDBLMOqgnaSfX5R3qLSfEU5n8GeOtpNxqUn9g6rEnP2ltxCTIBw2GUkkZ4OO1dBqHhHxPd23ijUIhbxa1rEy2Fu3m8Wmng7cqf7xBZiBjkg9RitLT/A8sHjPS5ZIo00Dw/YLDpcW4EvOww8jD1AGOe5BHegCl44t4tB8caF4gWNZYNXcaHqVpjJuEkzsbb3KnOepxxXH3MdxpWg6lBbzrJqPw91BZrK4d+JbOUZ8lm9dmVIH91RXoWreH9Y1Hx4ddkggltNHsH/si3aTiW7cHcz/3QAAv4gjvWBD8ONWl0HQ9FvWjkhvL59U8SzlwWnkyGWLH8SlsAn/Yz3oAzJdIttS13VvDMQZNK8WacNcsgww1jdDBLMOqgnaSfX5R3qLSfEU5n8GeOtpNxqUn9g6rEnP2ltxCTIBw2GUkkZ4OO1dBqHhHxPd23ijUIhbxa1rEy2Fu3m8Wmng7cqf7xBZiBjkg9RitLT/A8sHjPS5ZIo00Dw/YLDpcW4EvOww8jD1AGOe5BHegCl44t4tB8caF4gWNZYNXcaHqVpjJuEkzsbb3KnOepxxXH3MdxpWg6lBbzrJqPw91BZrK4d+JbOUZ8lm9dmVIH91RXoWreH9Y1Hx4ddkggltNHsH/ALIt2k4lu3B3M/8AdAAC/iCO9YEPw41aXQdD0W9aOSG8vn1TxLOXBaeTIZYsfxKWwCf9jPegDMl0i21LXdW8MxBk0rxZpw1yyDDDWN0MEsw6qCdpJ9flHeotJ8RTmfwZ462k3GpSf2DqsSc/aW3EJMgHDYZSSRng47V0GoeEfE93beKNQiFvFrWsTLYW7ebxaaeDtyp/vEFmIGOSD1GK0tP8DyweM9LlkijTQPD9gsOlxbgS87DDyMPUAY57kEd6AO8qpqn/ACCb3/rg/wD6Cat0UAfKt7/yTuX/ALFS0/8ATo1fVVFFAHiOreIpxP4z8dbSLjTZP7B0qJ+PszbgHmcHhcswIJxwMd6li0i203XdJ8Myhn0rwnpx1y9CjLX10ckMo6sAdxB9flPaut1DwPLP4z1SWOKN9A8QWDQ6pFuAKTqMJIo9SDjjuCT2rN0/wj4ntLbwvqEot5da0eZrC4bzeLvTyduWP94AKwBzyCepxQByltHcaroOmwXE6x6j8QtQaa9uFfiKziGfJVvXZhQD/eYV2Hge3i17xxrviBo1ig0hzoem2mMG3SPG9tvYscY6HHFUpvhxq0Wg65otk0ccNnfJqnhqcOA0EmSzRY/hUNkA/wC3ntW/pPh/WNO8eDXY4IIrTWLBP7Xt1k4iu0A2sn94EEr+BJ7UAcRq3iKcT+M/HW0i402T+wdKifj7M24B5nB4XLMCCccDHepYtIttN13SfDMoZ9K8J6cdcvQoy19dHJDKOrAHcQfX5T2rrdQ8Dyz+M9UljijfQPEFg0OqRbgCk6jCSKPUg447gk9qzdP8I+J7S28L6hKLeXWtHmawuG83i708nblj/eACsAc8gnqcUAcpbR3Gq6DpsFxOseo/ELUGmvbhX4is4hnyVb12YUA/3mFdh4Ht4te8ca74gaNYoNIc6HptpjBt0jxvbb2LHGOhxxVKb4catFoOuaLZNHHDZ3yap4anDgNBJks0WP4VDZAP+3ntW/pPh/WNO8eDXY4IIrTWLBP7Xt1k4iu0A2sn94EEr+BJ7UAZHi7UILTxuYtP8XXGia1JCm221JC2nXY7KN3Ct0BKnPPQnNYmry6pptkYvE2taT4O0p2JNj4eXN1fMerKQMqGOeQM84b1rrfHGn+JJ55JItI0vxJoDoPN0m4QRzoQOWjc5BPfnnsPWuN8O6TKLpv+EF8Cy6XcA7ZdX8SBi1t22RISWOBkAjA45zQBLpEuqalZCLwzrWk+MdKRgRY+IVxdWLDozEjLBTjkjPGF9a2/COoQXfjcRah4uuNb1qOF91tpqFdOtB3U7eGbqAWOeOgOK5/xFpMpul/4TrwLLqlwTti1fw2GDXPbZKgIYZGAScjnjFdl4H0/xJBPHJLpGl+G9ARD5Wk26CSdyRw0jjAB78c9j60Ad5VTVP8AkE3v/XB//QTVuigD5Vvf+Sdy/wDYqWn/AKdGr6qoooAKqap/yCb3/rg//oJq3RQB8q3v/JO5f+xUtP8A06NX1VRRQB5T8R5tJl15bLWvEGp30MiKIfC+kRkSztjkyMpyVOc4O3pxmuckttK0q8guJ9K1X4bajIFW3voHE9nKP4Vmx8ue5Vse5r0LxBpPivUfEU0ehDS9FtJYlW41nyhLdyj+4q4GAP8AaPuD2rNuPA/ijQYZG8P+IZNZglH+laX4hPnR3BP3ir4ypPPHTJ5oA4+O20rVbye4g0rVfiTqMYZbi+uHEFnEP4lhz8ue4Vc+xro/hxNpMWvNZaL4g1OxhjRhN4X1eMmWBscGNmOQoxnA3decVdt/A/ijXoY28QeIZNGgiH+i6X4ePkx25H3Sz4yxHHHTI4rS8P6T4r07xFDHro0vWrSKJlt9Z8oRXcQ/uMuDkH/ZPuT2oA8i16Pw7d60ltezSWGqBQ0N4hMRPsH6H6H8KrX+n6bpyRz+Ktcl1Hb/AKm3cbVb0/dr94+549a628sbXUbdre8t454j1WRcis7S/C2j6PKZrS0HndpJCXZR2AJ6DtxXwlPFRjBJylp00/B7x9NT7SphpSm2ktfX8VtL8DDsNP03UUkn8K65Lp27/XW6Dcq+v7tvun3HHpVnQY/DtprT21lNJf6oVLTXjkykexfoPoPxrT1Twto+sSia7tB53eSMlGYdwSOo7c1o2dja6dbrb2dvHBEOixrgUqmKjKDSlLX0/F7y/AKeGlGabS09fwW0fxOb16Pw7d60ltezSWGqBQ0N4hMRPsH6H6H8KrX+n6bpyRz+Ktcl1Hb/AKm3cbVb0/dr94+549a628sbXUbdre8t454j1WRcis7S/C2j6PKZrS0HndpJCXZR2AJ6DtxTp4qMYJOUtOmn4PePpqFTDSlNtJa+v4raX4GHYafpuopJP4V1yXTt3+ut0G5V9f3bfdPuOPSrOgx+HbTWntrKaS/1QqWmvHJlI9i/QfQfjWnqnhbR9YlE13aDzu8kZKMw7gkdR25rRs7G1063W3s7eOCIdFjXApVMVGUGlKWvp+L3l+AU8NKM02lp6/gto/ic3r0fh271pLa9mksNUChobxCYifYP0P0P4VWv9P03Tkjn8Va5LqO3/U27jaren7tfvH3PHrXW3lja6jbtb3lvHPEeqyLkVnaX4W0fR5TNaWg87tJIS7KOwBPQduKdPFRjBJylp00/B7x9NQqYaUptpLX1/FbS/Aw7DT9N1FJJ/CuuS6du/wBdboNyr6/u2+6fccelWdBj8O2mtPbWU0l/qhUtNeOTKR7F+g+g/GtPVPC2j6xKJru0Hnd5IyUZh3BI6jtzWjZ2Nrp1utvZ28cEQ6LGuBSqYqMoNKUtfT8XvL8Ap4aUZptLT1/BbR/E5vXo/Dt3rSW17NJYaoFDQ3iExE+wfofofwqtf6fpunJHP4q1yXUdv+pt3G1W9P3a/ePuePWutvLG11G3a3vLeOeI9VkXIrO0vwto+jyma0tB53aSQl2UdgCeg7cU6eKjGCTlLTpp+D3j6ahUw0pTbSWvr+K2l+Bh2Gn6bqKST+Fdcl07d/rrdBuVfX9233T7jj0qzoMfh201p7aymkv9UKlprxyZSPYv0H0H41p6p4W0fWJRNd2g87vJGSjMO4JHUdua0bOxtdOt1t7O3jgiHRY1wKVTFRlBpSlr6fi95fgFPDSjNNpaev4LaP4nN69H4du9aS2vZpLDVAoaG8QmIn2D9D9D+FVr/T9N05I5/FWuS6jt/wBTbuNqt6fu1+8fc8etdbeWNrqNu1veW8c8R6rIuRWdpfhbR9HlM1paDzu0khLso7AE9B24p08VGMEnKWnTT8HvH01CphpSm2ktfX8VtL8DDsNP03UUkn8K65Lp27/XW6Dcq+v7tvun3HHpVnQY/DtprT21lNJf6oVLTXjkykexfoPoPxrT1Twto+sSia7tB53eSMlGYdwSOo7c1o2dja6dbrb2dvHBEOixrgUqmKjKDSlLX0/F7y/AKeGlGabS09fwW0fxOb16Pw7d60ltezSWGqBQ0N4hMRPsH6H6H8KrX+n6bpyRz+Ktcl1Hb/qbdxtVvT92v3j7nj1rrbyxtdRt2t7y3jniPVZFyKztL8LaPo8pmtLQed2kkJdlHYAnoO3FOnioxgk5S06afg94+moVMNKU20lr6/itpfgYdhp+m6ikk/hXXJdO3f663QblX1/dt90+449Ks6DH4dtNae2sppL/AFQqWmvHJlI9i/QfQfjWnqnhbR9YlE13aDzu8kZKMw7gkdR25rRs7G1063W3s7eOCIdFjXApVMVGUGlKWvp+L3l+AU8NKM02lp6/gto/ic3r0fh271pLa9mksNUChobxCYifYP0P0P4VWv8AT9N05I5/FWuS6jt/1Nu42q3p+7X7x9zx611t5Y2uo27W95bxzxHqsi5FZ2l+FtH0eUzWloPO7SSEuyjsAT0HbinTxUYwScpadNPwe8fTUKmGlKbaS19fxW0vwMOw0/TdRSSfwrrkunbv9dboNyr6/u2+6fccelWdBj8O2mtPbWU0l/qhUtNeOTKR7F+g+g/GtPVPC2j6xKJru0Hnd5IyUZh3BI6jtzWjZ2Nrp1utvZ28cEQ6LGuBSqYqMoNKUtfT8XvL8Ap4aUZptLT1/BbR/E5vXo/Dt3rSW17NJYaoFDQ3iExE+wfofofwqtf6fpunJHP4q1yXUdv+pt3G1W9P3a/ePuePWutvLG11G3a3vLeOeI9VkXIrO0vwto+jyma0tB53aSQl2UdgCeg7cU6eKjGCTlLTpp+D3j6ahUw0pTbSWvr+K2l+Bh2Gn6bqKST+Fdcl07d/rrdBuVfX9233T7jj0qzoMfh201p7aymkv9UKlprxyZSPYv0H0H41p6p4W0fWJRNd2g87vJGSjMO4JHUdua0bOxtdOt1t7O3jgiHRY1wKVTFRlBpSlr6fi95fgFPDSjNNpaev4LaP4m18R5tJl15bLWvEGp30MiKIfC+kRkSztjkyMpyVOc4O3pxmuckttK0q8guJ9K1X4bajIFW3voHE9nKP4Vmx8ue5Vse5r0LxBpPivUfEU0ehDS9FtJYlW41nyhLdyj+4q4GAP9o+4Pas248D+KNBhkbw/wCIZNZglH+laX4hPnR3BP3ir4ypPPHTJ5r7w+LOPjttK1W8nuINK1X4k6jGGW4vrhxBZxD+JYc/LnuFXPsa6P4cTaTFrzWWi+INTsYY0YTeF9XjJlgbHBjZjkKMZwN3XnFXbfwP4o16GNvEHiGTRoIh/oul+Hj5MduR90s+MsRxx0yOK0vD+k+K9O8RQx66NL1q0iiZbfWfKEV3EP7jLg5B/wBk+5PagDt6qap/yCb3/rg//oJq3RQB8q3v/JO5f+xUtP8A06NX1VRRQB8yUUUUAFFFFABRRRQAUUUUAeyat4g1jTvHh0KSeCK01iwf+yLho+IrtAdyv/eBBDfgAO9YEPxH1aLQdD1q9WOOGzvn0vxLAUAaCTIVZc/wqGwSP9vHarvji4i17xxoXh9ZFig0hxrmpXecG3SPOxd3Ysc56HHNcfcyXGq6DqU9vAseo/ELUFhsrd04is4hjzmX12ZYkf3lNAHV6h4u8T2lt4o0+I28utaPMt/br5XF3p5O7Cj+8AGUkZ5AHU5rS0/xxLP4z0uKSWN9A8QWCzaXLtAKTqMvGx9SDnnuAB3rkpdXttN13VvE0RZ9K8J6cNDsixy19dHAKserAHaCPX5h3qLSfDs4n8GeBdxFxpsn9varKnH2ZtxKQoRwuWYggY4Ge9AHb6t4g1jTvHh0KSeCK01iwf8Asi4aPiK7QHcr/wB4EEN+AA71gQ/EfVotB0PWr1Y44bO+fS/EsBQBoJMhVlz/AAqGwSP9vHarvji4i17xxoXh9ZFig0hxrmpXecG3SPOxd3Ysc56HHNcfcyXGq6DqU9vAseo/ELUFhsrd04is4hjzmX12ZYkf3lNAHV6h4u8T2lt4o0+I28utaPMt/br5XF3p5O7Cj+8AGUkZ5AHU5rS0/wAcSz+M9LikljfQPEFgs2ly7QCk6jLxsfUg557gAd65KXV7bTdd1bxNEWfSvCenDQ7IsctfXRwCrHqwB2gj1+Yd6i0nw7OJ/BngXcRcabJ/b2qypx9mbcSkKEcLlmIIGOBnvQB2+reINY07x4dCkngitNYsH/si4aPiK7QHcr/3gQQ34ADvWBD8R9Wi0HQ9avVjjhs759L8SwFAGgkyFWXP8KhsEj/bx2q744uIte8caF4fWRYoNIca5qV3nBt0jzsXd2LHOehxzXH3Mlxqug6lPbwLHqPxC1BYbK3dOIrOIY85l9dmWJH95TQB1eoeLvE9pbeKNPiNvLrWjzLf26+Vxd6eTuwo/vABlJGeQB1Oa0tP8cSz+M9LikljfQPEFgs2ly7QCk6jLxsfUg557gAd65KXV7bTdd1bxNEWfSvCenDQ7IsctfXRwCrHqwB2gj1+Yd6i0nw7OJ/BngXcRcabJ/b2qypx9mbcSkKEcLlmIIGOBnvQB2+reINY07x4dCkngitNYsH/ALIuGj4iu0B3K/8AeBBDfgAO9YEPxH1aLQdD1q9WOOGzvn0vxLAUAaCTIVZc/wAKhsEj/bx2q744uIte8caF4fWRYoNIca5qV3nBt0jzsXd2LHOehxzXH3Mlxqug6lPbwLHqPxC1BYbK3dOIrOIY85l9dmWJH95TQB1eoeLvE9pbeKNPiNvLrWjzLf26+Vxd6eTuwo/vABlJGeQB1Oa0tP8AHEs/jPS4pJY30DxBYLNpcu0ApOoy8bH1IOee4AHeuSl1e203XdW8TRFn0rwnpw0OyLHLX10cAqx6sAdoI9fmHeotJ8OzifwZ4F3EXGmyf29qsqcfZm3EpChHC5ZiCBjgZ70Advq3iDWNO8eHQpJ4IrTWLB/7IuGj4iu0B3K/94EEN+AA71gQ/EfVotB0PWr1Y44bO+fS/EsBQBoJMhVlz/CobBI/28dqu+OLiLXvHGheH1kWKDSHGuald5wbdI87F3dixznocc1x9zJcaroOpT28Cx6j8QtQWGyt3TiKziGPOZfXZliR/eU0AdXqHi7xPaW3ijT4jby61o8y39uvlcXenk7sKP7wAZSRnkAdTmtLT/HEs/jPS4pJY30DxBYLNpcu0ApOoy8bH1IOee4AHeuSl1e203XdW8TRFn0rwnpw0OyLHLX10cAqx6sAdoI9fmHeotJ8OzifwZ4F3EXGmyf29qsqcfZm3EpChHC5ZiCBjgZ70Advq3iDWNO8eHQpJ4IrTWLB/wCyLho+IrtAdyv/AHgQQ34ADvWBD8R9Wi0HQ9avVjjhs759L8SwFAGgkyFWXP8ACobBI/28dqu+OLiLXvHGheH1kWKDSHGuald5wbdI87F3dixznocc1x9zJcaroOpT28Cx6j8QtQWGyt3TiKziGPOZfXZliR/eU0AdXqHi7xPaW3ijT4jby61o8y39uvlcXenk7sKP7wAZSRnkAdTmtLT/ABxLP4z0uKSWN9A8QWCzaXLtAKTqMvGx9SDnnuAB3rkpdXttN13VvE0RZ9K8J6cNDsixy19dHAKserAHaCPX5h3qLSfDs4n8GeBdxFxpsn9varKnH2ZtxKQoRwuWYggY4Ge9AHb6t4g1jTvHh0KSeCK01iwf+yLho+IrtAdyv/eBBDfgAO9YEPxH1aLQdD1q9WOOGzvn0vxLAUAaCTIVZc/wqGwSP9vHarvji4i17xxoXh9ZFig0hxrmpXecG3SPOxd3Ysc56HHNcfcyXGq6DqU9vAseo/ELUFhsrd04is4hjzmX12ZYkf3lNAHV6h4u8T2lt4o0+I28utaPMt/br5XF3p5O7Cj+8AGUkZ5AHU5rS0/xxLP4z0uKSWN9A8QWCzaXLtAKTqMvGx9SDnnuAB3rkpdXttN13VvE0RZ9K8J6cNDsixy19dHAKserAHaCPX5h3qLSfDs4n8GeBdxFxpsn9varKnH2ZtxKQoRwuWYggY4Ge9AHp+veNvDnhe5itta1WGzmlTzER1Y7lzjPAPcVk/8AC3PAX/QyW3/fD/8AxNYfxPj159YsjpMWuPF9n+c6dYwzru3HqX5B9hXCPH4xjjaR4fFyooJYnSLXgD8aAPV/+FueAv8AoZLb/vh//ia7Wvl/W727uvBOs+dqc1/aXWi2t/D9otooniY3yxkfIPRD3719QUAcHqHjiWDxnqkUcsaaB4fsGm1SXaCXnYZSNT6gDPHckHtWbp/i7xPd23hfT5Tbxa1rEzX9wvlcWmng7sMP7xBVQTjkkdRmuf1bw7OZ/GfgXcTcalJ/b2lSvz9pbcC8Lk8NhlAAOeDntUsWr22pa7pPiaUsmleLNOOh3pU4axuhkBVPVQTuAHr8x7UAac3xH1aXQdc1qyWOSG8vk0vw1AEBaeTJVpc/xKWyQP8AYx3rf0nxBrGo+PBoUc8Etpo9gn9r3Cx8S3bgbVT+6AAW/Eg9q89tpLjStB02e4gWTUfh7qDQ3tuqcS2cox5yr67MMCf7rGuw8D3EWg+ONd8PtIssGrudc027zk3CSY3ru7lTjHU45oAu6h44lg8Z6pFHLGmgeH7BptUl2gl52GUjU+oAzx3JB7Vm6f4u8T3dt4X0+U28WtaxM1/cL5XFpp4O7DD+8QVUE45JHUZrn9W8Ozmfxn4F3E3GpSf29pUr8/aW3AvC5PDYZQADng57VLFq9tqWu6T4mlLJpXizTjod6VOGsboZAVT1UE7gB6/Me1AGnN8R9Wl0HXNasljkhvL5NL8NQBAWnkyVaXP8SlskD/Yx3rf0nxBrGo+PBoUc8Etpo9gn9r3Cx8S3bgbVT+6AAW/Eg9q89tpLjStB02e4gWTUfh7qDQ3tuqcS2cox5yr67MMCf7rGuw8D3EWg+ONd8PtIssGrudc027zk3CSY3ru7lTjHU45oAu6h44lg8Z6pFHLGmgeH7BptUl2gl52GUjU+oAzx3JB7Vm6f4u8T3dt4X0+U28WtaxM1/cL5XFpp4O7DD+8QVUE45JHUZrn9W8Ozmfxn4F3E3GpSf29pUr8/aW3AvC5PDYZQADng57VLFq9tqWu6T4mlLJpXizTjod6VOGsboZAVT1UE7gB6/Me1AGnN8R9Wl0HXNasljkhvL5NL8NQBAWnkyVaXP8SlskD/AGMd639J8QaxqPjwaFHPBLaaPYJ/a9wsfEt24G1U/ugAFvxIPavPbaS40rQdNnuIFk1H4e6g0N7bqnEtnKMecq+uzDAn+6xrsPA9xFoPjjXfD7SLLBq7nXNNu85NwkmN67u5U4x1OOaANLxBq3ivTvEU0mhHS9atIola40bzRFdxD++rZOQf9oewHes248ceKNehkXw/4ek0aCIf6VqniEeTHbkfeCpnLEc89MjmqXxHh0mLXlvda8P6nYwxoph8UaRITLA2ORIqjIUYxk7uvGK5yS50rVbyC3n1XVfiTqMYVrexgQQWcQ/habHy57Fmz7igDsLfxx4o0GGNfEHh6TWYJR/ouqeHh50dwT90MmcqTxz0yeK0vD+reK9R8RQya6dL0W0liZrfRvNEt3KP77NkYA/2R7Ed689judK0q8nt4NV1X4bajIGa4sbhBPZyj+Joc/LnsGXHsK6P4cQ6TLrzXui+H9TvoZEYzeKNXkIlnbHAjVhkqc4yNvTnNAHb69428OeF7mK21rVYbOaVPMRHVjuXOM8A9xWT/wALc8Bf9DJbf98P/wDE1h/E+PXn1iyOkxa48X2f5zp1jDOu7cepfkH2FcI8fjGONpHh8XKiglidIteAPxoA9X/4W54C/wChktv++H/+Jrta+X9bvbu68E6z52pzX9pdaLa38P2i2iieJjfLGR8g9EPfvX1BQBga9428OeF7mK21rVYbOaVPMRHVjuXOM8A9xWT/AMLc8Bf9DJbf98P/APE1h/E+PXn1iyOkxa48X2f5zp1jDOu7cepfkH2FcI8fjGONpHh8XKiglidIteAPxoA9X/4W54C/6GS2/wC+H/8Aia7Wvl/W727uvBOs+dqc1/aXWi2t/D9otooniY3yxkfIPRD3719QUAcH441DxJBPJHFq+l+G9ARB5urXDiSdyRysaHAB7c89x6Vxvh3VpTdN/wAIL46l1S4J3S6R4kLBrnvvicgMMjJAGRzziug8XafBd+NzLp/hG41vWo4U23OpOV060HZhu4ZuhIUZ46g5rE1eLVNSsjL4m0XSfGOlIxBvvDzYurFh1VQDlgpzwDnjLelAEXiLVpRdL/wnXjqXS7gHdFpHhssWtu++VwCxwMEg4HHGa7LwPqHiSeeOOXV9L8SaA6HytWt3Ec6EDhZEGQT2457n0rktIi1TTbIS+GdF0nwdpTsAL7xC2bq+Y9FYE5UMccE55yvpW34R0+C08biXUPCNxomtSQvuudNctp12O7HbwrdSAwzz1JxQBi0VgajYXE+qST6TrRgv0RfMtZGEkTL23J1XPqKpy2niLU0Y6tfwaTYoP3gs3+eQDqd5+6P8mvz2OHjJJ86X33+7r8vwPupV5Jtcrf3W+/p8/wATq6K5SK08RaYinSb+DVrFx+7F4/zxg9DvH3h/kVc06wuINUjn1bWjPfujeXaxsI4lXvtTq2PU0Sw8YpvnT++/3dPn+IRrybS5Wvut9/X5fgb9FYGo2FxPqkk+k60YL9EXzLWRhJEy9tydVz6iqctp4i1NGOrX8Gk2KD94LN/nkA6nefuj/Jojh4ySfOl99/u6/L8AlXkm1yt/db7+nz/E6uiuUitPEWmIp0m/g1axcfuxeP8APGD0O8feH+RVzTrC4g1SOfVtaM9+6N5drGwjiVe+1OrY9TRLDxim+dP77/d0+f4hGvJtLla+6339fl+Bv0VgajYXE+qST6TrRgv0RfMtZGEkTL23J1XPqKpy2niLU0Y6tfwaTYoP3gs3+eQDqd5+6P8AJojh4ySfOl99/u6/L8AlXkm1yt/db7+nz/E6uiuUitPEWmIp0m/g1axcfuxeP88YPQ7x94f5FXNOsLiDVI59W1oz37o3l2sbCOJV77U6tj1NEsPGKb50/vv93T5/iEa8m0uVr7rff1+X4G/RWBqNhcT6pJPpOtGC/RF8y1kYSRMvbcnVc+oqnLaeItTRjq1/BpNig/eCzf55AOp3n7o/yaI4eMknzpfff7uvy/AJV5Jtcrf3W+/p8/xOrorlIrTxFpiKdJv4NWsXH7sXj/PGD0O8feH+RVzTrC4g1SOfVtaM9+6N5drGwjiVe+1OrY9TRLDxim+dP77/AHdPn+IRrybS5Wvut9/X5fgb9FYGo2FxPqkk+k60YL9EXzLWRhJEy9tydVz6iqctp4i1NGOrX8Gk2KD94LN/nkA6nefuj/Jojh4ySfOl99/u6/L8AlXkm1yt/db7+nz/ABOrorlIrTxFpiKdJv4NWsXH7sXj/PGD0O8feH+RVzTrC4g1SOfVtaM9+6N5drGwjiVe+1OrY9TRLDxim+dP77/d0+f4hGvJtLla+6339fl+Bv0VgajYXE+qST6TrRgv0RfMtZGEkTL23J1XPqKpy2niLU0Y6tfwaTYoP3gs3+eQDqd5+6P8miOHjJJ86X33+7r8vwCVeSbXK391vv6fP8Tq6K5SK08RaYinSb+DVrFx+7F4/wA8YPQ7x94f5FXNOsLiDVI59W1oz37o3l2sbCOJV77U6tj1NEsPGKb50/vv93T5/iEa8m0uVr7rff1+X4G/RWBqNhcT6pJPpOtGC/RF8y1kYSRMvbcnVc+oqnLaeItTRjq1/BpNig/eCzf55AOp3n7o/wAmiOHjJJ86X33+7r8vwCVeSbXK391vv6fP8Tq6K5SK08RaYinSb+DVrFx+7F4/zxg9DvH3h/kVc06wuINUjn1bWjPfujeXaxsI4lXvtTq2PU0Sw8YpvnT++/3dPn+IRrybS5Wvut9/X5fgb9FYGo2FxPqkk+k60YL9EXzLWRhJEy9tydVz6iqctp4i1NGOrX8Gk2KD94LN/nkA6nefuj/Jojh4ySfOl99/u6/L8AlXkm1yt/db7+nz/E6uiuUitPEWmIp0m/g1axcfuxeP88YPQ7x94f5FXNOsLiDVI59W1oz37o3l2sbCOJV77U6tj1NEsPGKb50/vv8Ad0+f4hGvJtLla+6339fl+B6X441DxJBPJHFq+l+G9ARB5urXDiSdyRysaHAB7c89x6Vxvh3VpTdN/wAIL46l1S4J3S6R4kLBrnvvicgMMjJAGRzziug8XafBd+NzLp/hG41vWo4U23OpOV060HZhu4ZuhIUZ46g5rE1eLVNSsjL4m0XSfGOlIxBvvDzYurFh1VQDlgpzwDnjLelfoR8KReItWlF0v/CdeOpdLuAd0WkeGyxa2775XALHAwSDgccZrsvA+oeJJ5445dX0vxJoDofK1a3cRzoQOFkQZBPbjnufSuS0iLVNNshL4Z0XSfB2lOwAvvELZur5j0VgTlQxxwTnnK+lbfhHT4LTxuJdQ8I3Gia1JC+6501y2nXY7sdvCt1IDDPPUnFAGJRRRX5ofkAUUUUAcbRRRX6Wfr4UUUUAFFFFABRRRQB6l44t4tB8caF4gWNZYNXcaHqVpjJuEkzsbb3KnOepxxXH3MdxpWg6lBbzrJqPw91BZrK4d+JbOUZ8lm9dmVIH91RXoWreH9Y1Hx4ddkggltNHsH/si3aTiW7cHcz/AN0AAL+II71gQ/DjVpdB0PRb1o5Iby+fVPEs5cFp5Mhlix/EpbAJ/wBjPegDMl0i21LXdW8MxBk0rxZpw1yyDDDWN0MEsw6qCdpJ9flHeotJ8RTmfwZ462k3GpSf2DqsSc/aW3EJMgHDYZSSRng47V0GoeEfE93beKNQiFvFrWsTLYW7ebxaaeDtyp/vEFmIGOSD1GK0tP8AA8sHjPS5ZIo00Dw/YLDpcW4EvOww8jD1AGOe5BHegCl44t4tB8caF4gWNZYNXcaHqVpjJuEkzsbb3KnOepxxXH3MdxpWg6lBbzrJqPw91BZrK4d+JbOUZ8lm9dmVIH91RXoWreH9Y1Hx4ddkggltNHsH/si3aTiW7cHcz/3QAAv4gjvWBD8ONWl0HQ9FvWjkhvL59U8SzlwWnkyGWLH8SlsAn/Yz3oAzJdIttS13VvDMQZNK8WacNcsgww1jdDBLMOqgnaSfX5R3qLSfEU5n8GeOtpNxqUn9g6rEnP2ltxCTIBw2GUkkZ4OO1dBqHhHxPd23ijUIhbxa1rEy2Fu3m8Wmng7cqf7xBZiBjkg9RitLT/A8sHjPS5ZIo00Dw/YLDpcW4EvOww8jD1AGOe5BHegCl44t4tB8caF4gWNZYNXcaHqVpjJuEkzsbb3KnOepxxXH3MdxpWg6lBbzrJqPw91BZrK4d+JbOUZ8lm9dmVIH91RXoWreH9Y1Hx4ddkggltNHsH/si3aTiW7cHcz/AN0AAL+II71gQ/DjVpdB0PRb1o5Iby+fVPEs5cFp5Mhlix/EpbAJ/wBjPegDMl0i21LXdW8MxBk0rxZpw1yyDDDWN0MEsw6qCdpJ9flHeotJ8RTmfwZ462k3GpSf2DqsSc/aW3EJMgHDYZSSRng47V0GoeEfE93beKNQiFvFrWsTLYW7ebxaaeDtyp/vEFmIGOSD1GK0tP8AA8sHjPS5ZIo00Dw/YLDpcW4EvOww8jD1AGOe5BHegCl44t4tB8caF4gWNZYNXcaHqVpjJuEkzsbb3KnOepxxXH3MdxpWg6lBbzrJqPw91BZrK4d+JbOUZ8lm9dmVIH91RXoWreH9Y1Hx4ddkggltNHsH/si3aTiW7cHcz/3QAAv4gjvWBD8ONWl0HQ9FvWjkhvL59U8SzlwWnkyGWLH8SlsAn/Yz3oAzJdIttS13VvDMQZNK8WacNcsgww1jdDBLMOqgnaSfX5R3qLSfEU5n8GeOtpNxqUn9g6rEnP2ltxCTIBw2GUkkZ4OO1dBqHhHxPd23ijUIhbxa1rEy2Fu3m8Wmng7cqf7xBZiBjkg9RitLT/A8sHjPS5ZIo00Dw/YLDpcW4EvOww8jD1AGOe5BHegCl44t4tB8caF4gWNZYNXcaHqVpjJuEkzsbb3KnOepxxXH3MdxpWg6lBbzrJqPw91BZrK4d+JbOUZ8lm9dmVIH91RXoWreH9Y1Hx4ddkggltNHsH/si3aTiW7cHcz/AN0AAL+II71gQ/DjVpdB0PRb1o5Iby+fVPEs5cFp5Mhlix/EpbAJ/wBjPegDMl0i21LXdW8MxBk0rxZpw1yyDDDWN0MEsw6qCdpJ9flHeotJ8RTmfwZ462k3GpSf2DqsSc/aW3EJMgHDYZSSRng47V0GoeEfE93beKNQiFvFrWsTLYW7ebxaaeDtyp/vEFmIGOSD1GK0tP8AA8sHjPS5ZIo00Dw/YLDpcW4EvOww8jD1AGOe5BHegCl44t4tB8caF4gWNZYNXcaHqVpjJuEkzsbb3KnOepxxXH3MdxpWg6lBbzrJqPw91BZrK4d+JbOUZ8lm9dmVIH91RXoWreH9Y1Hx4ddkggltNHsH/si3aTiW7cHcz/3QAAv4gjvWBD8ONWl0HQ9FvWjkhvL59U8SzlwWnkyGWLH8SlsAn/Yz3oAzJdIttS13VvDMQZNK8WacNcsgww1jdDBLMOqgnaSfX5R3qLSfEU5n8GeOtpNxqUn9g6rEnP2ltxCTIBw2GUkkZ4OO1dBqHhHxPd23ijUIhbxa1rEy2Fu3m8Wmng7cqf7xBZiBjkg9RitLT/A8sHjPS5ZIo00Dw/YLDpcW4EvOww8jD1AGOe5BHegCl44t4tB8caF4gWNZYNXcaHqVpjJuEkzsbb3KnOepxxXH3MdxpWg6lBbzrJqPw91BZrK4d+JbOUZ8lm9dmVIH91RXoWreH9Y1Hx4ddkggltNHsH/si3aTiW7cHcz/AN0AAL+II71gQ/DjVpdB0PRb1o5Iby+fVPEs5cFp5Mhlix/EpbAJ/wBjPegDMl0i21LXdW8MxBk0rxZpw1yyDDDWN0MEsw6qCdpJ9flHeotJ8RTmfwZ462k3GpSf2DqsSc/aW3EJMgHDYZSSRng47V0GoeEfE93beKNQiFvFrWsTLYW7ebxaaeDtyp/vEFmIGOSD1GK0tP8AA8sHjPS5ZIo00Dw/YLDpcW4EvOww8jD1AGOe5BHegDvKqap/yCb3/rg//oJq3RQB8q3v/JO5f+xUtP8A06NX1VRRQB4jq3iKcT+M/HW0i402T+wdKifj7M24B5nB4XLMCCccDHepYtIttN13SfDMoZ9K8J6cdcvQoy19dHJDKOrAHcQfX5T2rrdQ8Dyz+M9UljijfQPEFg0OqRbgCk6jCSKPUg447gk9qzdP8I+J7S28L6hKLeXWtHmawuG83i708nblj/eACsAc8gnqcUAcpbR3Gq6DpsFxOseo/ELUGmvbhX4is4hnyVb12YUA/wB5hXYeB7eLXvHGu+IGjWKDSHOh6baYwbdI8b229ixxjoccVSm+HGrRaDrmi2TRxw2d8mqeGpw4DQSZLNFj+FQ2QD/t57Vv6T4f1jTvHg12OCCK01iwT+17dZOIrtANrJ/eBBK/gSe1AHEat4inE/jPx1tIuNNk/sHSon4+zNuAeZweFyzAgnHAx3qWLSLbTdd0nwzKGfSvCenHXL0KMtfXRyQyjqwB3EH1+U9q63UPA8s/jPVJY4o30DxBYNDqkW4ApOowkij1IOOO4JPas3T/AAj4ntLbwvqEot5da0eZrC4bzeLvTyduWP8AeACsAc8gnqcUAcpbR3Gq6DpsFxOseo/ELUGmvbhX4is4hnyVb12YUA/3mFdh4Ht4te8ca74gaNYoNIc6HptpjBt0jxvbb2LHGOhxxVKb4catFoOuaLZNHHDZ3yap4anDgNBJks0WP4VDZAP+3ntW/pPh/WNO8eDXY4IIrTWLBP7Xt1k4iu0A2sn94EEr+BJ7UAcRq3iKcT+M/HW0i402T+wdKifj7M24B5nB4XLMCCccDHepYtIttN13SfDMoZ9K8J6cdcvQoy19dHJDKOrAHcQfX5T2rrdQ8Dyz+M9UljijfQPEFg0OqRbgCk6jCSKPUg447gk9qzdP8I+J7S28L6hKLeXWtHmawuG83i708nblj/eACsAc8gnqcUAcpbR3Gq6DpsFxOseo/ELUGmvbhX4is4hnyVb12YUA/wB5hXYeB7eLXvHGu+IGjWKDSHOh6baYwbdI8b229ixxjoccVSm+HGrRaDrmi2TRxw2d8mqeGpw4DQSZLNFj+FQ2QD/t57Vv6T4f1jTvHg12OCCK01iwT+17dZOIrtANrJ/eBBK/gSe1AGR4u1CC08bmLT/F1xomtSQptttSQtp12OyjdwrdASpzz0JzWJq8uqabZGLxNrWk+DtKdiTY+HlzdXzHqykDKhjnkDPOG9a63xxp/iSeeSSLSNL8SaA6DzdJuEEc6EDlo3OQT3557D1rjfDukyi6b/hBfAsul3AO2XV/EgYtbdtkSEljgZAIwOOc0AS6RLqmpWQi8M61pPjHSkYEWPiFcXViw6MxIywU45IzxhfWtvwjqEF343EWoeLrjW9ajhfdbaahXTrQd1O3hm6gFjnjoDiuf8RaTKbpf+E68Cy6pcE7YtX8Nhg1z22SoCGGRgEnI54xXZeB9P8AEkE8ckukaX4b0BEPlaTboJJ3JHDSOMAHvxz2PrQB3lVNU/5BN7/1wf8A9BNW6KAPlW9/5J3L/wBipaf+nRq+qqKKACqmqf8AIJvf+uD/APoJq3RQB8q3v/JO5f8AsVLT/wBOjV9VUUUAeU/EebSZdeWy1rxBqd9DIiiHwvpEZEs7Y5MjKclTnODt6cZrnJLbStKvILifStV+G2oyBVt76BxPZyj+FZsfLnuVbHua9C8QaT4r1HxFNHoQ0vRbSWJVuNZ8oS3co/uKuBgD/aPuD2rNuPA/ijQYZG8P+IZNZglH+laX4hPnR3BP3ir4ypPPHTJ5oA4+O20rVbye4g0rVfiTqMYZbi+uHEFnEP4lhz8ue4Vc+xro/hxNpMWvNZaL4g1OxhjRhN4X1eMmWBscGNmOQoxnA3decVdt/A/ijXoY28QeIZNGgiH+i6X4ePkx25H3Sz4yxHHHTI4rS8P6T4r07xFDHro0vWrSKJlt9Z8oRXcQ/uMuDkH/AGT7k9qAPItej8O3etJbXs0lhqgUNDeITET7B+h+h/Cq1/p+m6ckc/irXJdR2/6m3cbVb0/dr94+549a628sbXUbdre8t454j1WRcis7S/C2j6PKZrS0HndpJCXZR2AJ6DtxXwlPFRjBJylp00/B7x9NT7SphpSm2ktfX8VtL8DDsNP03UUkn8K65Lp27/XW6Dcq+v7tvun3HHpVnQY/DtprT21lNJf6oVLTXjkykexfoPoPxrT1Twto+sSia7tB53eSMlGYdwSOo7c1o2dja6dbrb2dvHBEOixrgUqmKjKDSlLX0/F7y/AKeGlGabS09fwW0fxOb16Pw7d60ltezSWGqBQ0N4hMRPsH6H6H8KrX+n6bpyRz+Ktcl1Hb/qbdxtVvT92v3j7nj1rrbyxtdRt2t7y3jniPVZFyKztL8LaPo8pmtLQed2kkJdlHYAnoO3FOnioxgk5S06afg94+moVMNKU20lr6/itpfgYdhp+m6ikk/hXXJdO3f663QblX1/dt90+449Ks6DH4dtNae2sppL/VCpaa8cmUj2L9B9B+NaeqeFtH1iUTXdoPO7yRkozDuCR1HbmtGzsbXTrdbezt44Ih0WNcClUxUZQaUpa+n4veX4BTw0ozTaWnr+C2j+JzevR+HbvWktr2aSw1QKGhvEJiJ9g/Q/Q/hVa/0/TdOSOfxVrkuo7f9TbuNqt6fu1+8fc8etdbeWNrqNu1veW8c8R6rIuRWdpfhbR9HlM1paDzu0khLso7AE9B24p08VGMEnKWnTT8HvH01CphpSm2ktfX8VtL8DDsNP03UUkn8K65Lp27/XW6Dcq+v7tvun3HHpVnQY/DtprT21lNJf6oVLTXjkykexfoPoPxrT1Twto+sSia7tB53eSMlGYdwSOo7c1o2dja6dbrb2dvHBEOixrgUqmKjKDSlLX0/F7y/AKeGlGabS09fwW0fxOb16Pw7d60ltezSWGqBQ0N4hMRPsH6H6H8KrX+n6bpyRz+Ktcl1Hb/AKm3cbVb0/dr94+549a628sbXUbdre8t454j1WRcis7S/C2j6PKZrS0HndpJCXZR2AJ6DtxTp4qMYJOUtOmn4PePpqFTDSlNtJa+v4raX4GHYafpuopJP4V1yXTt3+ut0G5V9f3bfdPuOPSrOgx+HbTWntrKaS/1QqWmvHJlI9i/QfQfjWnqnhbR9YlE13aDzu8kZKMw7gkdR25rRs7G1063W3s7eOCIdFjXApVMVGUGlKWvp+L3l+AU8NKM02lp6/gto/ic3r0fh271pLa9mksNUChobxCYifYP0P0P4VWv9P03Tkjn8Va5LqO3/U27jaren7tfvH3PHrXW3lja6jbtb3lvHPEeqyLkVnaX4W0fR5TNaWg87tJIS7KOwBPQduKdPFRjBJylp00/B7x9NQqYaUptpLX1/FbS/Aw7DT9N1FJJ/CuuS6du/wBdboNyr6/u2+6fccelWdBj8O2mtPbWU0l/qhUtNeOTKR7F+g+g/GtPVPC2j6xKJru0Hnd5IyUZh3BI6jtzWjZ2Nrp1utvZ28cEQ6LGuBSqYqMoNKUtfT8XvL8Ap4aUZptLT1/BbR/E5vXo/Dt3rSW17NJYaoFDQ3iExE+wfofofwqtf6fpunJHP4q1yXUdv+pt3G1W9P3a/ePuePWutvLG11G3a3vLeOeI9VkXIrO0vwto+jyma0tB53aSQl2UdgCeg7cU6eKjGCTlLTpp+D3j6ahUw0pTbSWvr+K2l+Bh2Gn6bqKST+Fdcl07d/rrdBuVfX9233T7jj0qzoMfh201p7aymkv9UKlprxyZSPYv0H0H41p6p4W0fWJRNd2g87vJGSjMO4JHUdua0bOxtdOt1t7O3jgiHRY1wKVTFRlBpSlr6fi95fgFPDSjNNpaev4LaP4nN69H4du9aS2vZpLDVAoaG8QmIn2D9D9D+FVr/T9N05I5/FWuS6jt/wBTbuNqt6fu1+8fc8etdbeWNrqNu1veW8c8R6rIuRWdpfhbR9HlM1paDzu0khLso7AE9B24p08VGMEnKWnTT8HvH01CphpSm2ktfX8VtL8DDsNP03UUkn8K65Lp27/XW6Dcq+v7tvun3HHpVnQY/DtprT21lNJf6oVLTXjkykexfoPoPxrT1Twto+sSia7tB53eSMlGYdwSOo7c1o2dja6dbrb2dvHBEOixrgUqmKjKDSlLX0/F7y/AKeGlGabS09fwW0fxOb16Pw7d60ltezSWGqBQ0N4hMRPsH6H6H8KrX+n6bpyRz+Ktcl1Hb/qbdxtVvT92v3j7nj1rrbyxtdRt2t7y3jniPVZFyKztL8LaPo8pmtLQed2kkJdlHYAnoO3FOnioxgk5S06afg94+moVMNKU20lr6/itpfgYdhp+m6ikk/hXXJdO3f663QblX1/dt90+449Ks6DH4dtNae2sppL/AFQqWmvHJlI9i/QfQfjWnqnhbR9YlE13aDzu8kZKMw7gkdR25rRs7G1063W3s7eOCIdFjXApVMVGUGlKWvp+L3l+AU8NKM02lp6/gto/ibXxHm0mXXlsta8QanfQyIoh8L6RGRLO2OTIynJU5zg7enGa5yS20rSryC4n0rVfhtqMgVbe+gcT2co/hWbHy57lWx7mvQvEGk+K9R8RTR6ENL0W0liVbjWfKEt3KP7irgYA/wBo+4Pas248D+KNBhkbw/4hk1mCUf6VpfiE+dHcE/eKvjKk88dMnmvvD4s4+O20rVbye4g0rVfiTqMYZbi+uHEFnEP4lhz8ue4Vc+xro/hxNpMWvNZaL4g1OxhjRhN4X1eMmWBscGNmOQoxnA3decVdt/A/ijXoY28QeIZNGgiH+i6X4ePkx25H3Sz4yxHHHTI4rS8P6T4r07xFDHro0vWrSKJlt9Z8oRXcQ/uMuDkH/ZPuT2oA42iiivzQ/IAooooA42iiiv0s/XwooooAKKKKACiiigD3zXvG3hzwvcxW2tarDZzSp5iI6sdy5xngHuKyf+FueAv+hktv++H/APiaw/ifHrz6xZHSYtceL7P8506xhnXduPUvyD7CuEePxjHG0jw+LlRQSxOkWvAH40Aer/8AC3PAX/QyW3/fD/8AxNdrXy/rd7d3XgnWfO1Oa/tLrRbW/h+0W0UTxMb5YyPkHoh796+oKAMDXvG3hzwvcxW2tarDZzSp5iI6sdy5xngHuKyf+FueAv8AoZLb/vh//iaw/ifHrz6xZHSYtceL7P8AOdOsYZ13bj1L8g+wrhHj8YxxtI8Pi5UUEsTpFrwB+NAHq/8AwtzwF/0Mlt/3w/8A8TXa18v63e3d14J1nztTmv7S60W1v4ftFtFE8TG+WMj5B6Ie/evqCgDA17xt4c8L3MVtrWqw2c0qeYiOrHcucZ4B7isn/hbngL/oZLb/AL4f/wCJrD+J8evPrFkdJi1x4vs/znTrGGdd249S/IPsK4R4/GMcbSPD4uVFBLE6Ra8AfjQB6v8A8Lc8Bf8AQyW3/fD/APxNdrXy/rd7d3XgnWfO1Oa/tLrRbW/h+0W0UTxMb5YyPkHoh796+oKAMDXvG3hzwvcxW2tarDZzSp5iI6sdy5xngHuKyf8AhbngL/oZLb/vh/8A4msP4nx68+sWR0mLXHi+z/OdOsYZ13bj1L8g+wrhHj8YxxtI8Pi5UUEsTpFrwB+NAHq//C3PAX/QyW3/AHw//wATXa18v63e3d14J1nztTmv7S60W1v4ftFtFE8TG+WMj5B6Ie/evqCgDA17xt4c8L3MVtrWqw2c0qeYiOrHcucZ4B7isn/hbngL/oZLb/vh/wD4msP4nx68+sWR0mLXHi+z/OdOsYZ13bj1L8g+wrhHj8YxxtI8Pi5UUEsTpFrwB+NAHq//AAtzwF/0Mlt/3w//AMTXa18v63e3d14J1nztTmv7S60W1v4ftFtFE8TG+WMj5B6Ie/evqCgDA17xt4c8L3MVtrWqw2c0qeYiOrHcucZ4B7isn/hbngL/AKGS2/74f/4msP4nx68+sWR0mLXHi+z/ADnTrGGdd249S/IPsK4R4/GMcbSPD4uVFBLE6Ra8AfjQB6v/AMLc8Bf9DJbf98P/APE12tfL+t3t3deCdZ87U5r+0utFtb+H7RbRRPExvljI+QeiHv3r6goAwNe8beHPC9zFba1qsNnNKnmIjqx3LnGeAe4rJ/4W54C/6GS2/wC+H/8Aiaw/ifHrz6xZHSYtceL7P8506xhnXduPUvyD7CuEePxjHG0jw+LlRQSxOkWvAH40Aer/APC3PAX/AEMlt/3w/wD8TXa18v63e3d14J1nztTmv7S60W1v4ftFtFE8TG+WMj5B6Ie/evqCgDxeisDUbC4n1SSfSdaMF+iL5lrIwkiZe25Oq59RVOW08RamjHVr+DSbFB+8Fm/zyAdTvP3R/k1+exw8ZJPnS++/3dfl+B91KvJNrlb+6339Pn+J1dFcpFaeItMRTpN/Bq1i4/di8f54weh3j7w/yKuadYXEGqRz6trRnv3RvLtY2EcSr32p1bHqaJYeMU3zp/ff7unz/EI15NpcrX3W+/r8vwN+isDUbC4n1SSfSdaMF+iL5lrIwkiZe25Oq59RVOW08RamjHVr+DSbFB+8Fm/zyAdTvP3R/k0Rw8ZJPnS++/3dfl+ASryTa5W/ut9/T5/idXRXKRWniLTEU6TfwatYuP3YvH+eMHod4+8P8irmnWFxBqkc+ra0Z790by7WNhHEq99qdWx6miWHjFN86f33+7p8/wAQjXk2lytfdb7+vy/A36KwNRsLifVJJ9J1owX6IvmWsjCSJl7bk6rn1FU5bTxFqaMdWv4NJsUH7wWb/PIB1O8/dH+TRHDxkk+dL77/AHdfl+ASryTa5W/ut9/T5/idXRXKRWniLTEU6TfwatYuP3YvH+eMHod4+8P8irmnWFxBqkc+ra0Z790by7WNhHEq99qdWx6miWHjFN86f33+7p8/xCNeTaXK191vv6/L8DforA1GwuJ9Ukn0nWjBfoi+ZayMJImXtuTqufUVTltPEWpox1a/g0mxQfvBZv8APIB1O8/dH+TRHDxkk+dL77/d1+X4BKvJNrlb+6339Pn+J1dFcpFaeItMRTpN/Bq1i4/di8f54weh3j7w/wAirmnWFxBqkc+ra0Z790by7WNhHEq99qdWx6miWHjFN86f33+7p8/xCNeTaXK191vv6/L8DforA1GwuJ9Ukn0nWjBfoi+ZayMJImXtuTqufUVTltPEWpox1a/g0mxQfvBZv88gHU7z90f5NEcPGST50vvv93X5fgEq8k2uVv7rff0+f4nV0VykVp4i0xFOk38GrWLj92Lx/njB6HePvD/Iq5p1hcQapHPq2tGe/dG8u1jYRxKvfanVsepolh4xTfOn99/u6fP8QjXk2lytfdb7+vy/A9L8cah4kgnkji1fS/DegIg83VrhxJO5I5WNDgA9uee49K43w7q0pum/4QXx1LqlwTul0jxIWDXPffE5AYZGSAMjnnFdB4u0+C78bmXT/CNxretRwptudScrp1oOzDdwzdCQozx1BzWJq8WqalZGXxNouk+MdKRiDfeHmxdWLDqqgHLBTngHPGW9K/Qj4Ui8RatKLpf+E68dS6XcA7otI8Nli1t33yuAWOBgkHA44zXZeB9Q8STzxxy6vpfiTQHQ+Vq1u4jnQgcLIgyCe3HPc+lclpEWqabZCXwzouk+DtKdgBfeIWzdXzHorAnKhjjgnPOV9K2/COnwWnjcS6h4RuNE1qSF91zprltOux3Y7eFbqQGGeepOKAOv17xt4c8L3MVtrWqw2c0qeYiOrHcucZ4B7isn/hbngL/oZLb/AL4f/wCJrD+J8evPrFkdJi1x4vs/znTrGGdd249S/IPsK4R4/GMcbSPD4uVFBLE6Ra8AfjQB6v8A8Lc8Bf8AQyW3/fD/APxNdrXy/rd7d3XgnWfO1Oa/tLrRbW/h+0W0UTxMb5YyPkHoh796+oKAOD8cah4kgnkji1fS/DegIg83VrhxJO5I5WNDgA9uee49K43w7q0pum/4QXx1LqlwTul0jxIWDXPffE5AYZGSAMjnnFdB4u0+C78bmXT/AAjca3rUcKbbnUnK6daDsw3cM3QkKM8dQc1iavFqmpWRl8TaLpPjHSkYg33h5sXViw6qoBywU54BzxlvSgCLxFq0oul/4Trx1LpdwDui0jw2WLW3ffK4BY4GCQcDjjNdl4H1DxJPPHHLq+l+JNAdD5WrW7iOdCBwsiDIJ7cc9z6VyWkRapptkJfDOi6T4O0p2AF94hbN1fMeisCcqGOOCc85X0rb8I6fBaeNxLqHhG40TWpIX3XOmuW067Hdjt4VupAYZ56k4oAxaKwNRsLifVJJ9J1owX6IvmWsjCSJl7bk6rn1FU5bTxFqaMdWv4NJsUH7wWb/ADyAdTvP3R/k1+exw8ZJPnS++/3dfl+B91KvJNrlb+6339Pn+J1dFcpFaeItMRTpN/Bq1i4/di8f54weh3j7w/yKuadYXEGqRz6trRnv3RvLtY2EcSr32p1bHqaJYeMU3zp/ff7unz/EI15NpcrX3W+/r8vwN+isDUbC4n1SSfSdaMF+iL5lrIwkiZe25Oq59RVOW08RamjHVr+DSbFB+8Fm/wA8gHU7z90f5NEcPGST50vvv93X5fgEq8k2uVv7rff0+f4nV0VykVp4i0xFOk38GrWLj92Lx/njB6HePvD/ACKuadYXEGqRz6trRnv3RvLtY2EcSr32p1bHqaJYeMU3zp/ff7unz/EI15NpcrX3W+/r8vwN+isDUbC4n1SSfSdaMF+iL5lrIwkiZe25Oq59RVOW08RamjHVr+DSbFB+8Fm/zyAdTvP3R/k0Rw8ZJPnS++/3dfl+ASryTa5W/ut9/T5/idXRXKRWniLTEU6TfwatYuP3YvH+eMHod4+8P8irmnWFxBqkc+ra0Z790by7WNhHEq99qdWx6miWHjFN86f33+7p8/xCNeTaXK191vv6/L8DforA1GwuJ9Ukn0nWjBfoi+ZayMJImXtuTqufUVTltPEWpox1a/g0mxQfvBZv88gHU7z90f5NEcPGST50vvv93X5fgEq8k2uVv7rff0+f4nV0VykVp4i0xFOk38GrWLj92Lx/njB6HePvD/Iq5p1hcQapHPq2tGe/dG8u1jYRxKvfanVsepolh4xTfOn99/u6fP8AEI15NpcrX3W+/r8vwN+isDUbC4n1SSfSdaMF+iL5lrIwkiZe25Oq59RVOW08RamjHVr+DSbFB+8Fm/zyAdTvP3R/k0Rw8ZJPnS++/wB3X5fgEq8k2uVv7rff0+f4nV0VykVp4i0xFOk38GrWLj92Lx/njB6HePvD/Iq5p1hcQapHPq2tGe/dG8u1jYRxKvfanVsepolh4xTfOn99/u6fP8QjXk2lytfdb7+vy/A36KwNRsLifVJJ9J1owX6IvmWsjCSJl7bk6rn1FU5bTxFqaMdWv4NJsUH7wWb/ADyAdTvP3R/k0Rw8ZJPnS++/3dfl+ASryTa5W/ut9/T5/idXRXKRWniLTEU6TfwatYuP3YvH+eMHod4+8P8AIq5p1hcQapHPq2tGe/dG8u1jYRxKvfanVsepolh4xTfOn99/u6fP8QjXk2lytfdb7+vy/A36KwNRsLifVJJ9J1owX6IvmWsjCSJl7bk6rn1FU5bTxFqaMdWv4NJsUH7wWb/PIB1O8/dH+TRHDxkk+dL77/d1+X4BKvJNrlb+6339Pn+J1dFcpFaeItMRTpN/Bq1i4/di8f54weh3j7w/yKuadYXEGqRz6trRnv3RvLtY2EcSr32p1bHqaJYeMU3zp/ff7unz/EI15NpcrX3W+/r8vwN+isDUbC4n1SSfSdaMF+iL5lrIwkiZe25Oq59RVOW08RamjHVr+DSbFB+8Fm/zyAdTvP3R/k0Rw8ZJPnS++/3dfl+ASryTa5W/ut9/T5/idXRXKRWniLTEU6TfwatYuP3YvH+eMHod4+8P8irmnWFxBqkc+ra0Z790by7WNhHEq99qdWx6miWHjFN86f33+7p8/wAQjXk2lytfdb7+vy/A9L8cah4kgnkji1fS/DegIg83VrhxJO5I5WNDgA9uee49K43w7q0pum/4QXx1LqlwTul0jxIWDXPffE5AYZGSAMjnnFdB4u0+C78bmXT/AAjca3rUcKbbnUnK6daDsw3cM3QkKM8dQc1iavFqmpWRl8TaLpPjHSkYg33h5sXViw6qoBywU54BzxlvSv0I+FIvEWrSi6X/AITrx1LpdwDui0jw2WLW3ffK4BY4GCQcDjjNdl4H1DxJPPHHLq+l+JNAdD5WrW7iOdCBwsiDIJ7cc9z6VyWkRapptkJfDOi6T4O0p2AF94hbN1fMeisCcqGOOCc85X0rb8I6fBaeNxLqHhG40TWpIX3XOmuW067Hdjt4VupAYZ56k4oA6/XvG3hzwvcxW2tarDZzSp5iI6sdy5xngHuKyf8AhbngL/oZLb/vh/8A4msP4nx68+sWR0mLXHi+z/OdOsYZ13bj1L8g+wrhHj8YxxtI8Pi5UUEsTpFrwB+NAHq//C3PAX/QyW3/AHw//wATXa18v63e3d14J1nztTmv7S60W1v4ftFtFE8TG+WMj5B6Ie/evqCgD5kooooAKKKKACiiigAooooA+m6qap/yCb3/AK4P/wCgmrdFAHyre/8AJO5f+xUtP/To1fVVFFABVTVP+QTe/wDXB/8A0E1booA+Vb3/AJJ3L/2Klp/6dGr6qoooAKqap/yCb3/rg/8A6Cat0UAfKt7/AMk7l/7FS0/9OjV9VUUUAFVNU/5BN7/1wf8A9BNW6KAPlW9/5J3L/wBipaf+nRq+qqKKACqmqf8AIJvf+uD/APoJq3RQB8q3v/JO5f8AsVLT/wBOjV9VUUUAFVNU/wCQTe/9cH/9BNW6KAPlW9/5J3L/ANipaf8Ap0avqqiigAqpqn/IJvf+uD/+gmrdFAHyre/8k7l/7FS0/wDTo1fVVFFAHzXr0fh271pLa9mksNUChobxCYifYP0P0P4VWv8AT9N05I5/FWuS6jt/1Nu42q3p+7X7x9zx611t5Y2uo27W95bxzxHqsi5FZ2l+FtH0eUzWloPO7SSEuyjsAT0HbivhKeKjGCTlLTpp+D3j6an2lTDSlNtJa+v4raX4GHYafpuopJP4V1yXTt3+ut0G5V9f3bfdPuOPSrOgx+HbTWntrKaS/wBUKlprxyZSPYv0H0H41p6p4W0fWJRNd2g87vJGSjMO4JHUdua0bOxtdOt1t7O3jgiHRY1wKVTFRlBpSlr6fi95fgFPDSjNNpaev4LaP4nN69H4du9aS2vZpLDVAoaG8QmIn2D9D9D+FVr/AE/TdOSOfxVrkuo7f9TbuNqt6fu1+8fc8etdbeWNrqNu1veW8c8R6rIuRWdpfhbR9HlM1paDzu0khLso7AE9B24p08VGMEnKWnTT8HvH01CphpSm2ktfX8VtL8DDsNP03UUkn8K65Lp27/XW6Dcq+v7tvun3HHpVnQY/DtprT21lNJf6oVLTXjkykexfoPoPxrT1Twto+sSia7tB53eSMlGYdwSOo7c1o2dja6dbrb2dvHBEOixrgUqmKjKDSlLX0/F7y/AKeGlGabS09fwW0fxOb16Pw7d60ltezSWGqBQ0N4hMRPsH6H6H8KrX+n6bpyRz+Ktcl1Hb/qbdxtVvT92v3j7nj1rrbyxtdRt2t7y3jniPVZFyKztL8LaPo8pmtLQed2kkJdlHYAnoO3FOnioxgk5S06afg94+moVMNKU20lr6/itpfgYdhp+m6ikk/hXXJdO3f663QblX1/dt90+449Ks6DH4dtNae2sppL/VCpaa8cmUj2L9B9B+NaeqeFtH1iUTXdoPO7yRkozDuCR1HbmtGzsbXTrdbezt44Ih0WNcClUxUZQaUpa+n4veX4BTw0ozTaWnr+C2j+JzevR+HbvWktr2aSw1QKGhvEJiJ9g/Q/Q/hVa/0/TdOSOfxVrkuo7f9TbuNqt6fu1+8fc8etdbeWNrqNu1veW8c8R6rIuRWdpfhbR9HlM1paDzu0khLso7AE9B24p08VGMEnKWnTT8HvH01CphpSm2ktfX8VtL8DDsNP03UUkn8K65Lp27/XW6Dcq+v7tvun3HHpVnQY/DtprT21lNJf6oVLTXjkykexfoPoPxrT1Twto+sSia7tB53eSMlGYdwSOo7c1o2dja6dbrb2dvHBEOixrgUqmKjKDSlLX0/F7y/AKeGlGabS09fwW0fxOb16Pw7d60ltezSWGqBQ0N4hMRPsH6H6H8KrX+n6bpyRz+Ktcl1Hb/AKm3cbVb0/dr94+549a628sbXUbdre8t454j1WRcis7S/C2j6PKZrS0HndpJCXZR2AJ6DtxTp4qMYJOUtOmn4PePpqFTDSlNtJa+v4raX4GHYafpuopJP4V1yXTt3+ut0G5V9f3bfdPuOPSrOgx+HbTWntrKaS/1QqWmvHJlI9i/QfQfjWnqnhbR9YlE13aDzu8kZKMw7gkdR25rRs7G1063W3s7eOCIdFjXApVMVGUGlKWvp+L3l+AU8NKM02lp6/gto/ibXxHm0mXXlsta8QanfQyIoh8L6RGRLO2OTIynJU5zg7enGa5yS20rSryC4n0rVfhtqMgVbe+gcT2co/hWbHy57lWx7mvQvEGk+K9R8RTR6ENL0W0liVbjWfKEt3KP7irgYA/2j7g9qzbjwP4o0GGRvD/iGTWYJR/pWl+IT50dwT94q+MqTzx0yea+8Pizj47bStVvJ7iDStV+JOoxhluL64cQWcQ/iWHPy57hVz7Guj+HE2kxa81loviDU7GGNGE3hfV4yZYGxwY2Y5CjGcDd15xV238D+KNehjbxB4hk0aCIf6Lpfh4+THbkfdLPjLEccdMjitLw/pPivTvEUMeujS9atIomW31nyhFdxD+4y4OQf9k+5PagDt6qap/yCb3/AK4P/wCgmrdFAHyre/8AJO5f+xUtP/To1fVVFFAHlPxHm0mXXlsta8QanfQyIoh8L6RGRLO2OTIynJU5zg7enGa5yS20rSryC4n0rVfhtqMgVbe+gcT2co/hWbHy57lWx7mvQvEGk+K9R8RTR6ENL0W0liVbjWfKEt3KP7irgYA/2j7g9qzbjwP4o0GGRvD/AIhk1mCUf6VpfiE+dHcE/eKvjKk88dMnmgDj47bStVvJ7iDStV+JOoxhluL64cQWcQ/iWHPy57hVz7Guj+HE2kxa81loviDU7GGNGE3hfV4yZYGxwY2Y5CjGcDd15xV238D+KNehjbxB4hk0aCIf6Lpfh4+THbkfdLPjLEccdMjitLw/pPivTvEUMeujS9atIomW31nyhFdxD+4y4OQf9k+5PagDyLXo/Dt3rSW17NJYaoFDQ3iExE+wfofofwqtf6fpunJHP4q1yXUdv+pt3G1W9P3a/ePuePWutvLG11G3a3vLeOeI9VkXIrO0vwto+jyma0tB53aSQl2UdgCeg7cV8JTxUYwScpadNPwe8fTU+0qYaUptpLX1/FbS/Aw7DT9N1FJJ/CuuS6du/wBdboNyr6/u2+6fccelWdBj8O2mtPbWU0l/qhUtNeOTKR7F+g+g/GtPVPC2j6xKJru0Hnd5IyUZh3BI6jtzWjZ2Nrp1utvZ28cEQ6LGuBSqYqMoNKUtfT8XvL8Ap4aUZptLT1/BbR/E5vXo/Dt3rSW17NJYaoFDQ3iExE+wfofofwqtf6fpunJHP4q1yXUdv+pt3G1W9P3a/ePuePWutvLG11G3a3vLeOeI9VkXIrO0vwto+jyma0tB53aSQl2UdgCeg7cU6eKjGCTlLTpp+D3j6ahUw0pTbSWvr+K2l+Bh2Gn6bqKST+Fdcl07d/rrdBuVfX9233T7jj0qzoMfh201p7aymkv9UKlprxyZSPYv0H0H41p6p4W0fWJRNd2g87vJGSjMO4JHUdua0bOxtdOt1t7O3jgiHRY1wKVTFRlBpSlr6fi95fgFPDSjNNpaev4LaP4nN69H4du9aS2vZpLDVAoaG8QmIn2D9D9D+FVr/T9N05I5/FWuS6jt/wBTbuNqt6fu1+8fc8etdbeWNrqNu1veW8c8R6rIuRWdpfhbR9HlM1paDzu0khLso7AE9B24p08VGMEnKWnTT8HvH01CphpSm2ktfX8VtL8DDsNP03UUkn8K65Lp27/XW6Dcq+v7tvun3HHpVnQY/DtprT21lNJf6oVLTXjkykexfoPoPxrT1Twto+sSia7tB53eSMlGYdwSOo7c1o2dja6dbrb2dvHBEOixrgUqmKjKDSlLX0/F7y/AKeGlGabS09fwW0fxOb16Pw7d60ltezSWGqBQ0N4hMRPsH6H6H8KrX+n6bpyRz+Ktcl1Hb/qbdxtVvT92v3j7nj1rrbyxtdRt2t7y3jniPVZFyKztL8LaPo8pmtLQed2kkJdlHYAnoO3FOnioxgk5S06afg94+moVMNKU20lr6/itpfgYdhp+m6ikk/hXXJdO3f663QblX1/dt90+449Ks6DH4dtNae2sppL/AFQqWmvHJlI9i/QfQfjWnqnhbR9YlE13aDzu8kZKMw7gkdR25rRs7G1063W3s7eOCIdFjXApVMVGUGlKWvp+L3l+AU8NKM02lp6/gto/ic3r0fh271pLa9mksNUChobxCYifYP0P0P4VWv8AT9N05I5/FWuS6jt/1Nu42q3p+7X7x9zx611t5Y2uo27W95bxzxHqsi5FZ2l+FtH0eUzWloPO7SSEuyjsAT0HbinTxUYwScpadNPwe8fTUKmGlKbaS19fxW0vwMOw0/TdRSSfwrrkunbv9dboNyr6/u2+6fccelWdBj8O2mtPbWU0l/qhUtNeOTKR7F+g+g/GtPVPC2j6xKJru0Hnd5IyUZh3BI6jtzWjZ2Nrp1utvZ28cEQ6LGuBSqYqMoNKUtfT8XvL8Ap4aUZptLT1/BbR/E5vXo/Dt3rSW17NJYaoFDQ3iExE+wfofofwqtf6fpunJHP4q1yXUdv+pt3G1W9P3a/ePuePWutvLG11G3a3vLeOeI9VkXIrO0vwto+jyma0tB53aSQl2UdgCeg7cU6eKjGCTlLTpp+D3j6ahUw0pTbSWvr+K2l+Bh2Gn6bqKST+Fdcl07d/rrdBuVfX9233T7jj0qzoMfh201p7aymkv9UKlprxyZSPYv0H0H41p6p4W0fWJRNd2g87vJGSjMO4JHUdua0bOxtdOt1t7O3jgiHRY1wKVTFRlBpSlr6fi95fgFPDSjNNpaev4LaP4nN69H4du9aS2vZpLDVAoaG8QmIn2D9D9D+FVr/T9N05I5/FWuS6jt/1Nu42q3p+7X7x9zx611t5Y2uo27W95bxzxHqsi5FZ2l+FtH0eUzWloPO7SSEuyjsAT0HbinTxUYwScpadNPwe8fTUKmGlKbaS19fxW0vwMOw0/TdRSSfwrrkunbv9dboNyr6/u2+6fccelWdBj8O2mtPbWU0l/qhUtNeOTKR7F+g+g/GtPVPC2j6xKJru0Hnd5IyUZh3BI6jtzWjZ2Nrp1utvZ28cEQ6LGuBSqYqMoNKUtfT8XvL8Ap4aUZptLT1/BbR/E5vXo/Dt3rSW17NJYaoFDQ3iExE+wfofofwqtf6fpunJHP4q1yXUdv8AqbdxtVvT92v3j7nj1rrbyxtdRt2t7y3jniPVZFyKztL8LaPo8pmtLQed2kkJdlHYAnoO3FOnioxgk5S06afg94+moVMNKU20lr6/itpfgYdhp+m6ikk/hXXJdO3f663QblX1/dt90+449Ks6DH4dtNae2sppL/VCpaa8cmUj2L9B9B+NaeqeFtH1iUTXdoPO7yRkozDuCR1HbmtGzsbXTrdbezt44Ih0WNcClUxUZQaUpa+n4veX4BTw0ozTaWnr+C2j+JtfEebSZdeWy1rxBqd9DIiiHwvpEZEs7Y5MjKclTnODt6cZrnJLbStKvILifStV+G2oyBVt76BxPZyj+FZsfLnuVbHua9C8QaT4r1HxFNHoQ0vRbSWJVuNZ8oS3co/uKuBgD/aPuD2rNuPA/ijQYZG8P+IZNZglH+laX4hPnR3BP3ir4ypPPHTJ5r7w+LOPjttK1W8nuINK1X4k6jGGW4vrhxBZxD+JYc/LnuFXPsa6P4cTaTFrzWWi+INTsYY0YTeF9XjJlgbHBjZjkKMZwN3XnFXbfwP4o16GNvEHiGTRoIh/oul+Hj5MduR90s+MsRxx0yOK0vD+k+K9O8RQx66NL1q0iiZbfWfKEV3EP7jLg5B/2T7k9qAO3qpqn/IJvf8Arg//AKCat0UAfKt7/wAk7l/7FS0/9OjV9VUUUAfMlFFFABRRRQAUUUUAFFFFAHvmveNvDnhe5itta1WGzmlTzER1Y7lzjPAPcVk/8Lc8Bf8AQyW3/fD/APxNYfxPj159YsjpMWuPF9n+c6dYwzru3HqX5B9hXCPH4xjjaR4fFyooJYnSLXgD8aAPV/8AhbngL/oZLb/vh/8A4mu1r5f1u9u7rwTrPnanNf2l1otrfw/aLaKJ4mN8sZHyD0Q9+9fUFAGBr3jbw54XuYrbWtVhs5pU8xEdWO5c4zwD3FZP/C3PAX/QyW3/AHw//wATWH8T49efWLI6TFrjxfZ/nOnWMM67tx6l+QfYVwjx+MY42keHxcqKCWJ0i14A/GgD1f8A4W54C/6GS2/74f8A+Jrta+X9bvbu68E6z52pzX9pdaLa38P2i2iieJjfLGR8g9EPfvX1BQBga9428OeF7mK21rVYbOaVPMRHVjuXOM8A9xWT/wALc8Bf9DJbf98P/wDE1h/E+PXn1iyOkxa48X2f5zp1jDOu7cepfkH2FcI8fjGONpHh8XKiglidIteAPxoA9X/4W54C/wChktv++H/+Jrta+X9bvbu68E6z52pzX9pdaLa38P2i2iieJjfLGR8g9EPfvX1BQBga9428OeF7mK21rVYbOaVPMRHVjuXOM8A9xWT/AMLc8Bf9DJbf98P/APE1h/E+PXn1iyOkxa48X2f5zp1jDOu7cepfkH2FcI8fjGONpHh8XKiglidIteAPxoA9X/4W54C/6GS2/wC+H/8Aia7Wvl/W727uvBOs+dqc1/aXWi2t/D9otooniY3yxkfIPRD3719QUAYGveNvDnhe5itta1WGzmlTzER1Y7lzjPAPcVk/8Lc8Bf8AQyW3/fD/APxNYfxPj159YsjpMWuPF9n+c6dYwzru3HqX5B9hXCPH4xjjaR4fFyooJYnSLXgD8aAPV/8AhbngL/oZLb/vh/8A4mu1r5f1u9u7rwTrPnanNf2l1otrfw/aLaKJ4mN8sZHyD0Q9+9fUFAGBr3jbw54XuYrbWtVhs5pU8xEdWO5c4zwD3FZP/C3PAX/QyW3/AHw//wATWH8T49efWLI6TFrjxfZ/nOnWMM67tx6l+QfYVwjx+MY42keHxcqKCWJ0i14A/GgD1f8A4W54C/6GS2/74f8A+Jrta+X9bvbu68E6z52pzX9pdaLa38P2i2iieJjfLGR8g9EPfvX1BQBga9428OeF7mK21rVYbOaVPMRHVjuXOM8A9xWT/wALc8Bf9DJbf98P/wDE1h/E+PXn1iyOkxa48X2f5zp1jDOu7cepfkH2FcI8fjGONpHh8XKiglidIteAPxoA9X/4W54C/wChktv++H/+Jrta+X9bvbu68E6z52pzX9pdaLa38P2i2iieJjfLGR8g9EPfvX1BQB4vRWBqNhcT6pJPpOtGC/RF8y1kYSRMvbcnVc+oqnLaeItTRjq1/BpNig/eCzf55AOp3n7o/wAmvz2OHjJJ86X33+7r8vwPupV5Jtcrf3W+/p8/xOrorlIrTxFpiKdJv4NWsXH7sXj/ADxg9DvH3h/kVc06wuINUjn1bWjPfujeXaxsI4lXvtTq2PU0Sw8YpvnT++/3dPn+IRrybS5Wvut9/X5fgb9FYGo2FxPqkk+k60YL9EXzLWRhJEy9tydVz6iqctp4i1NGOrX8Gk2KD94LN/nkA6nefuj/ACaI4eMknzpfff7uvy/AJV5Jtcrf3W+/p8/xOrorlIrTxFpiKdJv4NWsXH7sXj/PGD0O8feH+RVzTrC4g1SOfVtaM9+6N5drGwjiVe+1OrY9TRLDxim+dP77/d0+f4hGvJtLla+6339fl+Bv0VgajYXE+qST6TrRgv0RfMtZGEkTL23J1XPqKpy2niLU0Y6tfwaTYoP3gs3+eQDqd5+6P8miOHjJJ86X33+7r8vwCVeSbXK391vv6fP8Tq6K5SK08RaYinSb+DVrFx+7F4/zxg9DvH3h/kVc06wuINUjn1bWjPfujeXaxsI4lXvtTq2PU0Sw8YpvnT++/wB3T5/iEa8m0uVr7rff1+X4G/RWBqNhcT6pJPpOtGC/RF8y1kYSRMvbcnVc+oqnLaeItTRjq1/BpNig/eCzf55AOp3n7o/yaI4eMknzpfff7uvy/AJV5Jtcrf3W+/p8/wATq6K5SK08RaYinSb+DVrFx+7F4/zxg9DvH3h/kVc06wuINUjn1bWjPfujeXaxsI4lXvtTq2PU0Sw8YpvnT++/3dPn+IRrybS5Wvut9/X5fgb9FYGo2FxPqkk+k60YL9EXzLWRhJEy9tydVz6iqctp4i1NGOrX8Gk2KD94LN/nkA6nefuj/Jojh4ySfOl99/u6/L8AlXkm1yt/db7+nz/E6uiuUitPEWmIp0m/g1axcfuxeP8APGD0O8feH+RVzTrC4g1SOfVtaM9+6N5drGwjiVe+1OrY9TRLDxim+dP77/d0+f4hGvJtLla+6339fl+B6X441DxJBPJHFq+l+G9ARB5urXDiSdyRysaHAB7c89x6Vxvh3VpTdN/wgvjqXVLgndLpHiQsGue++JyAwyMkAZHPOK6Dxdp8F343Mun+EbjW9ajhTbc6k5XTrQdmG7hm6EhRnjqDmsTV4tU1KyMvibRdJ8Y6UjEG+8PNi6sWHVVAOWCnPAOeMt6V+hHwpF4i1aUXS/8ACdeOpdLuAd0WkeGyxa2775XALHAwSDgccZrsvA+oeJJ5445dX0vxJoDofK1a3cRzoQOFkQZBPbjnufSuS0iLVNNshL4Z0XSfB2lOwAvvELZur5j0VgTlQxxwTnnK+lbfhHT4LTxuJdQ8I3Gia1JC+6501y2nXY7sdvCt1IDDPPUnFAHX69428OeF7mK21rVYbOaVPMRHVjuXOM8A9xWT/wALc8Bf9DJbf98P/wDE1h/E+PXn1iyOkxa48X2f5zp1jDOu7cepfkH2FcI8fjGONpHh8XKiglidIteAPxoA9X/4W54C/wChktv++H/+Jrta+X9bvbu68E6z52pzX9pdaLa38P2i2iieJjfLGR8g9EPfvX1BQBga9428OeF7mK21rVYbOaVPMRHVjuXOM8A9xWT/AMLc8Bf9DJbf98P/APE1h/E+PXn1iyOkxa48X2f5zp1jDOu7cepfkH2FcI8fjGONpHh8XKiglidIteAPxoA9X/4W54C/6GS2/wC+H/8Aia7Wvl/W727uvBOs+dqc1/aXWi2t/D9otooniY3yxkfIPRD3719QUAcRq3iDWNO8eHQpJ4IrTWLB/wCyLho+IrtAdyv/AHgQQ34ADvWBD8R9Wi0HQ9avVjjhs759L8SwFAGgkyFWXP8ACobBI/28dqu+OLiLXvHGheH1kWKDSHGuald5wbdI87F3dixznocc1x9zJcaroOpT28Cx6j8QtQWGyt3TiKziGPOZfXZliR/eU0AdXqHi7xPaW3ijT4jby61o8y39uvlcXenk7sKP7wAZSRnkAdTmtLT/ABxLP4z0uKSWN9A8QWCzaXLtAKTqMvGx9SDnnuAB3rkpdXttN13VvE0RZ9K8J6cNDsixy19dHAKserAHaCPX5h3qLSfDs4n8GeBdxFxpsn9varKnH2ZtxKQoRwuWYggY4Ge9AHb6t4g1jTvHh0KSeCK01iwf+yLho+IrtAdyv/eBBDfgAO9YEPxH1aLQdD1q9WOOGzvn0vxLAUAaCTIVZc/wqGwSP9vHarvji4i17xxoXh9ZFig0hxrmpXecG3SPOxd3Ysc56HHNcfcyXGq6DqU9vAseo/ELUFhsrd04is4hjzmX12ZYkf3lNAHV6h4u8T2lt4o0+I28utaPMt/br5XF3p5O7Cj+8AGUkZ5AHU5rS0/xxLP4z0uKSWN9A8QWCzaXLtAKTqMvGx9SDnnuAB3rkpdXttN13VvE0RZ9K8J6cNDsixy19dHAKserAHaCPX5h3qLSfDs4n8GeBdxFxpsn9varKnH2ZtxKQoRwuWYggY4Ge9AHb6t4g1jTvHh0KSeCK01iwf8Asi4aPiK7QHcr/wB4EEN+AA71gQ/EfVotB0PWr1Y44bO+fS/EsBQBoJMhVlz/AAqGwSP9vHarvji4i17xxoXh9ZFig0hxrmpXecG3SPOxd3Ysc56HHNcfcyXGq6DqU9vAseo/ELUFhsrd04is4hjzmX12ZYkf3lNAHV6h4u8T2lt4o0+I28utaPMt/br5XF3p5O7Cj+8AGUkZ5AHU5rS0/wAcSz+M9LikljfQPEFgs2ly7QCk6jLxsfUg557gAd65KXV7bTdd1bxNEWfSvCenDQ7IsctfXRwCrHqwB2gj1+Yd6i0nw7OJ/BngXcRcabJ/b2qypx9mbcSkKEcLlmIIGOBnvQB2+reINY07x4dCkngitNYsH/si4aPiK7QHcr/3gQQ34ADvWBD8R9Wi0HQ9avVjjhs759L8SwFAGgkyFWXP8KhsEj/bx2q744uIte8caF4fWRYoNIca5qV3nBt0jzsXd2LHOehxzXH3Mlxqug6lPbwLHqPxC1BYbK3dOIrOIY85l9dmWJH95TQB1eoeLvE9pbeKNPiNvLrWjzLf26+Vxd6eTuwo/vABlJGeQB1Oa0tP8cSz+M9LikljfQPEFgs2ly7QCk6jLxsfUg557gAd65KXV7bTdd1bxNEWfSvCenDQ7IsctfXRwCrHqwB2gj1+Yd6i0nw7OJ/BngXcRcabJ/b2qypx9mbcSkKEcLlmIIGOBnvQB2+reINY07x4dCkngitNYsH/ALIuGj4iu0B3K/8AeBBDfgAO9YEPxH1aLQdD1q9WOOGzvn0vxLAUAaCTIVZc/wAKhsEj/bx2q744uIte8caF4fWRYoNIca5qV3nBt0jzsXd2LHOehxzXH3Mlxqug6lPbwLHqPxC1BYbK3dOIrOIY85l9dmWJH95TQB1eoeLvE9pbeKNPiNvLrWjzLf26+Vxd6eTuwo/vABlJGeQB1Oa0tP8AHEs/jPS4pJY30DxBYLNpcu0ApOoy8bH1IOee4AHeuSl1e203XdW8TRFn0rwnpw0OyLHLX10cAqx6sAdoI9fmHeotJ8OzifwZ4F3EXGmyf29qsqcfZm3EpChHC5ZiCBjgZ70Advq3iDWNO8eHQpJ4IrTWLB/7IuGj4iu0B3K/94EEN+AA71gQ/EfVotB0PWr1Y44bO+fS/EsBQBoJMhVlz/CobBI/28dqu+OLiLXvHGheH1kWKDSHGuald5wbdI87F3dixznocc1x9zJcaroOpT28Cx6j8QtQWGyt3TiKziGPOZfXZliR/eU0AdXqHi7xPaW3ijT4jby61o8y39uvlcXenk7sKP7wAZSRnkAdTmtLT/HEs/jPS4pJY30DxBYLNpcu0ApOoy8bH1IOee4AHeuSl1e203XdW8TRFn0rwnpw0OyLHLX10cAqx6sAdoI9fmHeotJ8OzifwZ4F3EXGmyf29qsqcfZm3EpChHC5ZiCBjgZ70Aen69428OeF7mK21rVYbOaVPMRHVjuXOM8A9xWT/wALc8Bf9DJbf98P/wDE1h/E+PXn1iyOkxa48X2f5zp1jDOu7cepfkH2FcI8fjGONpHh8XKiglidIteAPxoA9X/4W54C/wChktv++H/+Jrta+X9bvbu68E6z52pzX9pdaLa38P2i2iieJjfLGR8g9EPfvX1BQBga9428OeF7mK21rVYbOaVPMRHVjuXOM8A9xWT/AMLc8Bf9DJbf98P/APE1h/E+PXn1iyOkxa48X2f5zp1jDOu7cepfkH2FcI8fjGONpHh8XKiglidIteAPxoA9X/4W54C/6GS2/wC+H/8Aia7Wvl/W727uvBOs+dqc1/aXWi2t/D9otooniY3yxkfIPRD3719QUAYGveNvDnhe5itta1WGzmlTzER1Y7lzjPAPcVk/8Lc8Bf8AQyW3/fD/APxNYfxPj159YsjpMWuPF9n+c6dYwzru3HqX5B9hXCPH4xjjaR4fFyooJYnSLXgD8aAPV/8AhbngL/oZLb/vh/8A4mu1r5f1u9u7rwTrPnanNf2l1otrfw/aLaKJ4mN8sZHyD0Q9+9fUFAGBr3jbw54XuYrbWtVhs5pU8xEdWO5c4zwD3FZP/C3PAX/QyW3/AHw//wATWH8T49efWLI6TFrjxfZ/nOnWMM67tx6l+QfYVwjx+MY42keHxcqKCWJ0i14A/GgD1f8A4W54C/6GS2/74f8A+Jrta+X9bvbu68E6z52pzX9pdaLa38P2i2iieJjfLGR8g9EPfvX1BQB8yUUUUAFFFFABRRRQAUUUUAfTdVNU/wCQTe/9cH/9BNW6KAPlW9/5J3L/ANipaf8Ap0avqqiigAqpqn/IJvf+uD/+gmrdFAHyre/8k7l/7FS0/wDTo1fVVFFABVTVP+QTe/8AXB//AEE1booA+Vb3/kncv/YqWn/p0avqqiigAqpqn/IJvf8Arg//AKCat0UAfKt7/wAk7l/7FS0/9OjV9VUUUAFVNU/5BN7/ANcH/wDQTVuigD5Vvf8Akncv/YqWn/p0avqqiigAqpqn/IJvf+uD/wDoJq3RQB8q3v8AyTuX/sVLT/06NX1VRRQAVU1T/kE3v/XB/wD0E1booA+Vb3/kncv/AGKlp/6dGr6qoooA+a9ej8O3etJbXs0lhqgUNDeITET7B+h+h/Cq1/p+m6ckc/irXJdR2/6m3cbVb0/dr94+549a628sbXUbdre8t454j1WRcis7S/C2j6PKZrS0HndpJCXZR2AJ6DtxXwlPFRjBJylp00/B7x9NT7SphpSm2ktfX8VtL8DDsNP03UUkn8K65Lp27/XW6Dcq+v7tvun3HHpVnQY/DtprT21lNJf6oVLTXjkykexfoPoPxrT1Twto+sSia7tB53eSMlGYdwSOo7c1o2dja6dbrb2dvHBEOixrgUqmKjKDSlLX0/F7y/AKeGlGabS09fwW0fxOb16Pw7d60ltezSWGqBQ0N4hMRPsH6H6H8KrX+n6bpyRz+Ktcl1Hb/qbdxtVvT92v3j7nj1rrbyxtdRt2t7y3jniPVZFyKztL8LaPo8pmtLQed2kkJdlHYAnoO3FOnioxgk5S06afg94+moVMNKU20lr6/itpfgYdhp+m6ikk/hXXJdO3f663QblX1/dt90+449Ks6DH4dtNae2sppL/VCpaa8cmUj2L9B9B+NaeqeFtH1iUTXdoPO7yRkozDuCR1HbmtGzsbXTrdbezt44Ih0WNcClUxUZQaUpa+n4veX4BTw0ozTaWnr+C2j+JzevR+HbvWktr2aSw1QKGhvEJiJ9g/Q/Q/hVa/0/TdOSOfxVrkuo7f9TbuNqt6fu1+8fc8etdbeWNrqNu1veW8c8R6rIuRWdpfhbR9HlM1paDzu0khLso7AE9B24p08VGMEnKWnTT8HvH01CphpSm2ktfX8VtL8DDsNP03UUkn8K65Lp27/XW6Dcq+v7tvun3HHpVnQY/DtprT21lNJf6oVLTXjkykexfoPoPxrT1Twto+sSia7tB53eSMlGYdwSOo7c1o2dja6dbrb2dvHBEOixrgUqmKjKDSlLX0/F7y/AKeGlGabS09fwW0fxOb16Pw7d60ltezSWGqBQ0N4hMRPsH6H6H8KrX+n6bpyRz+Ktcl1Hb/AKm3cbVb0/dr94+549a628sbXUbdre8t454j1WRcis7S/C2j6PKZrS0HndpJCXZR2AJ6DtxTp4qMYJOUtOmn4PePpqFTDSlNtJa+v4raX4GHYafpuopJP4V1yXTt3+ut0G5V9f3bfdPuOPSrOgx+HbTWntrKaS/1QqWmvHJlI9i/QfQfjWnqnhbR9YlE13aDzu8kZKMw7gkdR25rRs7G1063W3s7eOCIdFjXApVMVGUGlKWvp+L3l+AU8NKM02lp6/gto/ic3r0fh271pLa9mksNUChobxCYifYP0P0P4VWv9P03Tkjn8Va5LqO3/U27jaren7tfvH3PHrXW3lja6jbtb3lvHPEeqyLkVnaX4W0fR5TNaWg87tJIS7KOwBPQduKdPFRjBJylp00/B7x9NQqYaUptpLX1/FbS/Aw7DT9N1FJJ/CuuS6du/wBdboNyr6/u2+6fccelWdBj8O2mtPbWU0l/qhUtNeOTKR7F+g+g/GtPVPC2j6xKJru0Hnd5IyUZh3BI6jtzWjZ2Nrp1utvZ28cEQ6LGuBSqYqMoNKUtfT8XvL8Ap4aUZptLT1/BbR/E2viPNpMuvLZa14g1O+hkRRD4X0iMiWdscmRlOSpznB29OM1zkltpWlXkFxPpWq/DbUZAq299A4ns5R/Cs2Plz3Ktj3NeheINJ8V6j4imj0IaXotpLEq3Gs+UJbuUf3FXAwB/tH3B7Vm3HgfxRoMMjeH/ABDJrMEo/wBK0vxCfOjuCfvFXxlSeeOmTzX3h8WcfHbaVqt5PcQaVqvxJ1GMMtxfXDiCziH8Sw5+XPcKufY10fw4m0mLXmstF8QanYwxowm8L6vGTLA2ODGzHIUYzgbuvOKu2/gfxRr0MbeIPEMmjQRD/RdL8PHyY7cj7pZ8ZYjjjpkcVpeH9J8V6d4ihj10aXrVpFEy2+s+UIruIf3GXByD/sn3J7UAdvVTVP8AkE3v/XB//QTVuigD5Vvf+Sdy/wDYqWn/AKdGr6qoooAKqap/yCb3/rg//oJq3RQB8q3v/JO5f+xUtP8A06NX1VRRQB5t44t4tB8caF4gWNZYNXcaHqVpjJuEkzsbb3KnOepxxXH3MdxpWg6lBbzrJqPw91BZrK4d+JbOUZ8lm9dmVIH91RXoWreH9Y1Hx4ddkggltNHsH/si3aTiW7cHcz/3QAAv4gjvWBD8ONWl0HQ9FvWjkhvL59U8SzlwWnkyGWLH8SlsAn/Yz3oAzJdIttS13VvDMQZNK8WacNcsgww1jdDBLMOqgnaSfX5R3qLSfEU5n8GeOtpNxqUn9g6rEnP2ltxCTIBw2GUkkZ4OO1dBqHhHxPd23ijUIhbxa1rEy2Fu3m8Wmng7cqf7xBZiBjkg9RitLT/A8sHjPS5ZIo00Dw/YLDpcW4EvOww8jD1AGOe5BHegCl44t4tB8caF4gWNZYNXcaHqVpjJuEkzsbb3KnOepxxXH3MdxpWg6lBbzrJqPw91BZrK4d+JbOUZ8lm9dmVIH91RXoWreH9Y1Hx4ddkggltNHsH/ALIt2k4lu3B3M/8AdAAC/iCO9YEPw41aXQdD0W9aOSG8vn1TxLOXBaeTIZYsfxKWwCf9jPegDMl0i21LXdW8MxBk0rxZpw1yyDDDWN0MEsw6qCdpJ9flHeotJ8RTmfwZ462k3GpSf2DqsSc/aW3EJMgHDYZSSRng47V0GoeEfE93beKNQiFvFrWsTLYW7ebxaaeDtyp/vEFmIGOSD1GK0tP8DyweM9LlkijTQPD9gsOlxbgS87DDyMPUAY57kEd6AKXji3i0HxxoXiBY1lg1dxoepWmMm4STOxtvcqc56nHFcfcx3GlaDqUFvOsmo/D3UFmsrh34ls5RnyWb12ZUgf3VFehat4f1jUfHh12SCCW00ewf+yLdpOJbtwdzP/dAAC/iCO9YEPw41aXQdD0W9aOSG8vn1TxLOXBaeTIZYsfxKWwCf9jPegDMl0i21LXdW8MxBk0rxZpw1yyDDDWN0MEsw6qCdpJ9flHeotJ8RTmfwZ462k3GpSf2DqsSc/aW3EJMgHDYZSSRng47V0GoeEfE93beKNQiFvFrWsTLYW7ebxaaeDtyp/vEFmIGOSD1GK0tP8DyweM9LlkijTQPD9gsOlxbgS87DDyMPUAY57kEd6AKXji3i0HxxoXiBY1lg1dxoepWmMm4STOxtvcqc56nHFcfcx3GlaDqUFvOsmo/D3UFmsrh34ls5RnyWb12ZUgf3VFehat4f1jUfHh12SCCW00ewf8Asi3aTiW7cHcz/wB0AAL+II71gQ/DjVpdB0PRb1o5Iby+fVPEs5cFp5Mhlix/EpbAJ/2M96AMyXSLbUtd1bwzEGTSvFmnDXLIMMNY3QwSzDqoJ2kn1+Ud6i0nxFOZ/BnjraTcalJ/YOqxJz9pbcQkyAcNhlJJGeDjtXQah4R8T3dt4o1CIW8WtaxMthbt5vFpp4O3Kn+8QWYgY5IPUYrS0/wPLB4z0uWSKNNA8P2Cw6XFuBLzsMPIw9QBjnuQR3oApeOLeLQfHGheIFjWWDV3Gh6laYybhJM7G29ypznqccVx9zHcaVoOpQW86yaj8PdQWayuHfiWzlGfJZvXZlSB/dUV6Fq3h/WNR8eHXZIIJbTR7B/7It2k4lu3B3M/90AAL+II71gQ/DjVpdB0PRb1o5Iby+fVPEs5cFp5Mhlix/EpbAJ/2M96AMyXSLbUtd1bwzEGTSvFmnDXLIMMNY3QwSzDqoJ2kn1+Ud6i0nxFOZ/BnjraTcalJ/YOqxJz9pbcQkyAcNhlJJGeDjtXQah4R8T3dt4o1CIW8WtaxMthbt5vFpp4O3Kn+8QWYgY5IPUYrS0/wPLB4z0uWSKNNA8P2Cw6XFuBLzsMPIw9QBjnuQR3oApeOLeLQfHGheIFjWWDV3Gh6laYybhJM7G29ypznqccVx9zHcaVoOpQW86yaj8PdQWayuHfiWzlGfJZvXZlSB/dUV6Fq3h/WNR8eHXZIIJbTR7B/wCyLdpOJbtwdzP/AHQAAv4gjvWBD8ONWl0HQ9FvWjkhvL59U8SzlwWnkyGWLH8SlsAn/Yz3oAzJdIttS13VvDMQZNK8WacNcsgww1jdDBLMOqgnaSfX5R3qLSfEU5n8GeOtpNxqUn9g6rEnP2ltxCTIBw2GUkkZ4OO1dBqHhHxPd23ijUIhbxa1rEy2Fu3m8Wmng7cqf7xBZiBjkg9RitLT/A8sHjPS5ZIo00Dw/YLDpcW4EvOww8jD1AGOe5BHegDvKqap/wAgm9/64P8A+gmrdFAHyre/8k7l/wCxUtP/AE6NX1VRRQAVU1T/AJBN7/1wf/0E1booA+Vb3/kncv8A2Klp/wCnRq+qqKKACqmqf8gm9/64P/6Cat0UAfKt7/yTuX/sVLT/ANOjV9VUUUAFVNU/5BN7/wBcH/8AQTVuigD5Vvf+Sdy/9ipaf+nRq+qqKKAPmSiiigAooooAKKKKACiiigD3zXvG3hzwvcxW2tarDZzSp5iI6sdy5xngHuKyf+FueAv+hktv++H/APiaw/ifHrz6xZHSYtceL7P8506xhnXduPUvyD7CuEePxjHG0jw+LlRQSxOkWvAH40Aer/8AC3PAX/QyW3/fD/8AxNdrXy/rd7d3XgnWfO1Oa/tLrRbW/h+0W0UTxMb5YyPkHoh796+oKAMDXvG3hzwvcxW2tarDZzSp5iI6sdy5xngHuKyf+FueAv8AoZLb/vh//iaw/ifHrz6xZHSYtceL7P8AOdOsYZ13bj1L8g+wrhHj8YxxtI8Pi5UUEsTpFrwB+NAHq/8AwtzwF/0Mlt/3w/8A8TXa18v63e3d14J1nztTmv7S60W1v4ftFtFE8TG+WMj5B6Ie/evqCgDA17xt4c8L3MVtrWqw2c0qeYiOrHcucZ4B7isn/hbngL/oZLb/AL4f/wCJrD+J8evPrFkdJi1x4vs/znTrGGdd249S/IPsK4R4/GMcbSPD4uVFBLE6Ra8AfjQB6v8A8Lc8Bf8AQyW3/fD/APxNdrXy/rd7d3XgnWfO1Oa/tLrRbW/h+0W0UTxMb5YyPkHoh796+oKAMDXvG3hzwvcxW2tarDZzSp5iI6sdy5xngHuKyf8AhbngL/oZLb/vh/8A4msP4nx68+sWR0mLXHi+z/OdOsYZ13bj1L8g+wrhHj8YxxtI8Pi5UUEsTpFrwB+NAHq//C3PAX/QyW3/AHw//wATXa18v63e3d14J1nztTmv7S60W1v4ftFtFE8TG+WMj5B6Ie/evqCgDA17xt4c8L3MVtrWqw2c0qeYiOrHcucZ4B7isn/hbngL/oZLb/vh/wD4msP4nx68+sWR0mLXHi+z/OdOsYZ13bj1L8g+wrhHj8YxxtI8Pi5UUEsTpFrwB+NAHq//AAtzwF/0Mlt/3w//AMTXa18v63e3d14J1nztTmv7S60W1v4ftFtFE8TG+WMj5B6Ie/evqCgDA17xt4c8L3MVtrWqw2c0qeYiOrHcucZ4B7isn/hbngL/AKGS2/74f/4msP4nx68+sWR0mLXHi+z/ADnTrGGdd249S/IPsK4R4/GMcbSPD4uVFBLE6Ra8AfjQB6v/AMLc8Bf9DJbf98P/APE12tfL+t3t3deCdZ87U5r+0utFtb+H7RbRRPExvljI+QeiHv3r6goAwNe8beHPC9zFba1qsNnNKnmIjqx3LnGeAe4rJ/4W54C/6GS2/wC+H/8Aiaw/ifHrz6xZHSYtceL7P8506xhnXduPUvyD7CuEePxjHG0jw+LlRQSxOkWvAH40Aer/APC3PAX/AEMlt/3w/wD8TXa18v63e3d14J1nztTmv7S60W1v4ftFtFE8TG+WMj5B6Ie/evqCgDxeisDUbC4n1SSfSdaMF+iL5lrIwkiZe25Oq59RVOW08RamjHVr+DSbFB+8Fm/zyAdTvP3R/k1+exw8ZJPnS++/3dfl+B91KvJNrlb+6339Pn+J1dFcpFaeItMRTpN/Bq1i4/di8f54weh3j7w/yKuadYXEGqRz6trRnv3RvLtY2EcSr32p1bHqaJYeMU3zp/ff7unz/EI15NpcrX3W+/r8vwN+isDUbC4n1SSfSdaMF+iL5lrIwkiZe25Oq59RVOW08RamjHVr+DSbFB+8Fm/zyAdTvP3R/k0Rw8ZJPnS++/3dfl+ASryTa5W/ut9/T5/idXRXKRWniLTEU6TfwatYuP3YvH+eMHod4+8P8irmnWFxBqkc+ra0Z790by7WNhHEq99qdWx6miWHjFN86f33+7p8/wAQjXk2lytfdb7+vy/A36KwNRsLifVJJ9J1owX6IvmWsjCSJl7bk6rn1FU5bTxFqaMdWv4NJsUH7wWb/PIB1O8/dH+TRHDxkk+dL77/AHdfl+ASryTa5W/ut9/T5/idXRXKRWniLTEU6TfwatYuP3YvH+eMHod4+8P8irmnWFxBqkc+ra0Z790by7WNhHEq99qdWx6miWHjFN86f33+7p8/xCNeTaXK191vv6/L8DforA1GwuJ9Ukn0nWjBfoi+ZayMJImXtuTqufUVTltPEWpox1a/g0mxQfvBZv8APIB1O8/dH+TRHDxkk+dL77/d1+X4BKvJNrlb+6339Pn+J1dFcpFaeItMRTpN/Bq1i4/di8f54weh3j7w/wAirmnWFxBqkc+ra0Z790by7WNhHEq99qdWx6miWHjFN86f33+7p8/xCNeTaXK191vv6/L8DforA1GwuJ9Ukn0nWjBfoi+ZayMJImXtuTqufUVTltPEWpox1a/g0mxQfvBZv88gHU7z90f5NEcPGST50vvv93X5fgEq8k2uVv7rff0+f4nV0VykVp4i0xFOk38GrWLj92Lx/njB6HePvD/Iq5p1hcQapHPq2tGe/dG8u1jYRxKvfanVsepolh4xTfOn99/u6fP8QjXk2lytfdb7+vy/A9L8cah4kgnkji1fS/DegIg83VrhxJO5I5WNDgA9uee49K43w7q0pum/4QXx1LqlwTul0jxIWDXPffE5AYZGSAMjnnFdB4u0+C78bmXT/CNxretRwptudScrp1oOzDdwzdCQozx1BzWJq8WqalZGXxNouk+MdKRiDfeHmxdWLDqqgHLBTngHPGW9K/Qj4Ui8RatKLpf+E68dS6XcA7otI8Nli1t33yuAWOBgkHA44zXZeB9Q8STzxxy6vpfiTQHQ+Vq1u4jnQgcLIgyCe3HPc+lclpEWqabZCXwzouk+DtKdgBfeIWzdXzHorAnKhjjgnPOV9K2/COnwWnjcS6h4RuNE1qSF91zprltOux3Y7eFbqQGGeepOKAOv17xt4c8L3MVtrWqw2c0qeYiOrHcucZ4B7isn/hbngL/oZLb/AL4f/wCJrD+J8evPrFkdJi1x4vs/znTrGGdd249S/IPsK4R4/GMcbSPD4uVFBLE6Ra8AfjQB6v8A8Lc8Bf8AQyW3/fD/APxNdrXy/rd7d3XgnWfO1Oa/tLrRbW/h+0W0UTxMb5YyPkHoh796+oKAMDXvG3hzwvcxW2tarDZzSp5iI6sdy5xngHuKyf8AhbngL/oZLb/vh/8A4msP4nx68+sWR0mLXHi+z/OdOsYZ13bj1L8g+wrhHj8YxxtI8Pi5UUEsTpFrwB+NAHq//C3PAX/QyW3/AHw//wATXa18v63e3d14J1nztTmv7S60W1v4ftFtFE8TG+WMj5B6Ie/evqCgDA17xt4c8L3MVtrWqw2c0qeYiOrHcucZ4B7isn/hbngL/oZLb/vh/wD4msP4nx68+sWR0mLXHi+z/OdOsYZ13bj1L8g+wrhHj8YxxtI8Pi5UUEsTpFrwB+NAHq//AAtzwF/0Mlt/3w//AMTXa18v63e3d14J1nztTmv7S60W1v4ftFtFE8TG+WMj5B6Ie/evqCgDA17xt4c8L3MVtrWqw2c0qeYiOrHcucZ4B7isn/hbngL/AKGS2/74f/4msP4nx68+sWR0mLXHi+z/ADnTrGGdd249S/IPsK4R4/GMcbSPD4uVFBLE6Ra8AfjQB6v/AMLc8Bf9DJbf98P/APE12tfL+t3t3deCdZ87U5r+0utFtb+H7RbRRPExvljI+QeiHv3r6goAwNe8beHPC9zFba1qsNnNKnmIjqx3LnGeAe4rJ/4W54C/6GS2/wC+H/8Aiaw/ifHrz6xZHSYtceL7P8506xhnXduPUvyD7CuEePxjHG0jw+LlRQSxOkWvAH40Aer/APC3PAX/AEMlt/3w/wD8TXa18v63e3d14J1nztTmv7S60W1v4ftFtFE8TG+WMj5B6Ie/evqCgDA17xt4c8L3MVtrWqw2c0qeYiOrHcucZ4B7isn/AIW54C/6GS2/74f/AOJrD+J8evPrFkdJi1x4vs/znTrGGdd249S/IPsK4R4/GMcbSPD4uVFBLE6Ra8AfjQB6v/wtzwF/0Mlt/wB8P/8AE12tfL+t3t3deCdZ87U5r+0utFtb+H7RbRRPExvljI+QeiHv3r6goAwNe8beHPC9zFba1qsNnNKnmIjqx3LnGeAe4rJ/4W54C/6GS2/74f8A+JrD+J8evPrFkdJi1x4vs/znTrGGdd249S/IPsK4R4/GMcbSPD4uVFBLE6Ra8AfjQB6v/wALc8Bf9DJbf98P/wDE12tfL+t3t3deCdZ87U5r+0utFtb+H7RbRRPExvljI+QeiHv3r6goAwNe8beHPC9zFba1qsNnNKnmIjqx3LnGeAe4rJ/4W54C/wChktv++H/+JrD+J8evPrFkdJi1x4vs/wA506xhnXduPUvyD7CuEePxjHG0jw+LlRQSxOkWvAH40Aer/wDC3PAX/QyW3/fD/wDxNdrXy/rd7d3XgnWfO1Oa/tLrRbW/h+0W0UTxMb5YyPkHoh796+oKAOI1bxBrGnePDoUk8EVprFg/9kXDR8RXaA7lf+8CCG/AAd6wIfiPq0Wg6HrV6sccNnfPpfiWAoA0EmQqy5/hUNgkf7eO1XfHFxFr3jjQvD6yLFBpDjXNSu84Nukedi7uxY5z0OOa4+5kuNV0HUp7eBY9R+IWoLDZW7pxFZxDHnMvrsyxI/vKaAOr1Dxd4ntLbxRp8Rt5da0eZb+3XyuLvTyd2FH94AMpIzyAOpzWlp/jiWfxnpcUksb6B4gsFm0uXaAUnUZeNj6kHPPcADvXJS6vbabrureJoiz6V4T04aHZFjlr66OAVY9WAO0EevzDvUWk+HZxP4M8C7iLjTZP7e1WVOPszbiUhQjhcsxBAxwM96AO31bxBrGnePDoUk8EVprFg/8AZFw0fEV2gO5X/vAghvwAHesCH4j6tFoOh61erHHDZ3z6X4lgKANBJkKsuf4VDYJH+3jtV3xxcRa9440Lw+sixQaQ41zUrvODbpHnYu7sWOc9DjmuPuZLjVdB1Ke3gWPUfiFqCw2Vu6cRWcQx5zL67MsSP7ymgDq9Q8XeJ7S28UafEbeXWtHmW/t18ri708ndhR/eADKSM8gDqc1paf44ln8Z6XFJLG+geILBZtLl2gFJ1GXjY+pBzz3AA71yUur22m67q3iaIs+leE9OGh2RY5a+ujgFWPVgDtBHr8w71FpPh2cT+DPAu4i402T+3tVlTj7M24lIUI4XLMQQMcDPegDt9W8Qaxp3jw6FJPBFaaxYP/ZFw0fEV2gO5X/vAghvwAHesCH4j6tFoOh61erHHDZ3z6X4lgKANBJkKsuf4VDYJH+3jtV3xxcRa9440Lw+sixQaQ41zUrvODbpHnYu7sWOc9DjmuPuZLjVdB1Ke3gWPUfiFqCw2Vu6cRWcQx5zL67MsSP7ymgDq9Q8XeJ7S28UafEbeXWtHmW/t18ri708ndhR/eADKSM8gDqc1paf44ln8Z6XFJLG+geILBZtLl2gFJ1GXjY+pBzz3AA71yUur22m67q3iaIs+leE9OGh2RY5a+ujgFWPVgDtBHr8w71FpPh2cT+DPAu4i402T+3tVlTj7M24lIUI4XLMQQMcDPegDt9W8Qaxp3jw6FJPBFaaxYP/AGRcNHxFdoDuV/7wIIb8AB3rAh+I+rRaDoetXqxxw2d8+l+JYCgDQSZCrLn+FQ2CR/t47Vd8cXEWveONC8PrIsUGkONc1K7zg26R52Lu7FjnPQ45rj7mS41XQdSnt4Fj1H4hagsNlbunEVnEMecy+uzLEj+8poA6vUPF3ie0tvFGnxG3l1rR5lv7dfK4u9PJ3YUf3gAykjPIA6nNaWn+OJZ/GelxSSxvoHiCwWbS5doBSdRl42PqQc89wAO9clLq9tpuu6t4miLPpXhPThodkWOWvro4BVj1YA7QR6/MO9RaT4dnE/gzwLuIuNNk/t7VZU4+zNuJSFCOFyzEEDHAz3oA5KiiigAooooAKKKKACiiigD6bqpqn/IJvf8Arg//AKCat0UAfKt7/wAk7l/7FS0/9OjV9VUUUAFVNU/5BN7/ANcH/wDQTVuigD5Vvf8Akncv/YqWn/p0avqqiigAqpqn/IJvf+uD/wDoJq3RQB8q3v8AyTuX/sVLT/06NX1VRRQAVU1T/kE3v/XB/wD0E1booA+Vb3/kncv/AGKlp/6dGr6qoooAKqap/wAgm9/64P8A+gmrdFAHyre/8k7l/wCxUtP/AE6NX1VRRQAVU1T/AJBN7/1wf/0E1booA+Vb3/kncv8A2Klp/wCnRq+qqKKACqmqf8gm9/64P/6Cat0UAfKt7/yTuX/sVLT/ANOjV9VUUUAfNevR+HbvWktr2aSw1QKGhvEJiJ9g/Q/Q/hVa/wBP03Tkjn8Va5LqO3/U27jaren7tfvH3PHrXW3lja6jbtb3lvHPEeqyLkVnaX4W0fR5TNaWg87tJIS7KOwBPQduK+Ep4qMYJOUtOmn4PePpqfaVMNKU20lr6/itpfgYdhp+m6ikk/hXXJdO3f663QblX1/dt90+449Ks6DH4dtNae2sppL/AFQqWmvHJlI9i/QfQfjWnqnhbR9YlE13aDzu8kZKMw7gkdR25rRs7G1063W3s7eOCIdFjXApVMVGUGlKWvp+L3l+AU8NKM02lp6/gto/ic3r0fh271pLa9mksNUChobxCYifYP0P0P4VWv8AT9N05I5/FWuS6jt/1Nu42q3p+7X7x9zx611t5Y2uo27W95bxzxHqsi5FZ2l+FtH0eUzWloPO7SSEuyjsAT0HbinTxUYwScpadNPwe8fTUKmGlKbaS19fxW0vwMOw0/TdRSSfwrrkunbv9dboNyr6/u2+6fccelWdBj8O2mtPbWU0l/qhUtNeOTKR7F+g+g/GtPVPC2j6xKJru0Hnd5IyUZh3BI6jtzWjZ2Nrp1utvZ28cEQ6LGuBSqYqMoNKUtfT8XvL8Ap4aUZptLT1/BbR/E5vXo/Dt3rSW17NJYaoFDQ3iExE+wfofofwqtf6fpunJHP4q1yXUdv+pt3G1W9P3a/ePuePWutvLG11G3a3vLeOeI9VkXIrO0vwto+jyma0tB53aSQl2UdgCeg7cU6eKjGCTlLTpp+D3j6ahUw0pTbSWvr+K2l+Bh2Gn6bqKST+Fdcl07d/rrdBuVfX9233T7jj0qzoMfh201p7aymkv9UKlprxyZSPYv0H0H41p6p4W0fWJRNd2g87vJGSjMO4JHUdua0bOxtdOt1t7O3jgiHRY1wKVTFRlBpSlr6fi95fgFPDSjNNpaev4LaP4nN69H4du9aS2vZpLDVAoaG8QmIn2D9D9D+FVr/T9N05I5/FWuS6jt/1Nu42q3p+7X7x9zx611t5Y2uo27W95bxzxHqsi5FZ2l+FtH0eUzWloPO7SSEuyjsAT0HbinTxUYwScpadNPwe8fTUKmGlKbaS19fxW0vwMOw0/TdRSSfwrrkunbv9dboNyr6/u2+6fccelWdBj8O2mtPbWU0l/qhUtNeOTKR7F+g+g/GtPVPC2j6xKJru0Hnd5IyUZh3BI6jtzWjZ2Nrp1utvZ28cEQ6LGuBSqYqMoNKUtfT8XvL8Ap4aUZptLT1/BbR/E5vXo/Dt3rSW17NJYaoFDQ3iExE+wfofofwqtf6fpunJHP4q1yXUdv8AqbdxtVvT92v3j7nj1rrbyxtdRt2t7y3jniPVZFyKztL8LaPo8pmtLQed2kkJdlHYAnoO3FOnioxgk5S06afg94+moVMNKU20lr6/itpfgYdhp+m6ikk/hXXJdO3f663QblX1/dt90+449Ks6DH4dtNae2sppL/VCpaa8cmUj2L9B9B+NaeqeFtH1iUTXdoPO7yRkozDuCR1HbmtGzsbXTrdbezt44Ih0WNcClUxUZQaUpa+n4veX4BTw0ozTaWnr+C2j+JtfEebSZdeWy1rxBqd9DIiiHwvpEZEs7Y5MjKclTnODt6cZrnJLbStKvILifStV+G2oyBVt76BxPZyj+FZsfLnuVbHua9C8QaT4r1HxFNHoQ0vRbSWJVuNZ8oS3co/uKuBgD/aPuD2rNuPA/ijQYZG8P+IZNZglH+laX4hPnR3BP3ir4ypPPHTJ5r7w+LOPjttK1W8nuINK1X4k6jGGW4vrhxBZxD+JYc/LnuFXPsa6P4cTaTFrzWWi+INTsYY0YTeF9XjJlgbHBjZjkKMZwN3XnFXbfwP4o16GNvEHiGTRoIh/oul+Hj5MduR90s+MsRxx0yOK0vD+k+K9O8RQx66NL1q0iiZbfWfKEV3EP7jLg5B/2T7k9qAO3qpqn/IJvf8Arg//AKCat0UAfKt7/wAk7l/7FS0/9OjV9VUUUAFVNU/5BN7/ANcH/wDQTVuigD5Vvf8Akncv/YqWn/p0avqqiigAqpqn/IJvf+uD/wDoJq3RQB8q3v8AyTuX/sVLT/06NX1VRRQAVU1T/kE3v/XB/wD0E1booA+Vb3/kncv/AGKlp/6dGr6qoooAKqap/wAgm9/64P8A+gmrdFAHyre/8k7l/wCxUtP/AE6NX1VRRQAVU1T/AJBN7/1wf/0E1booA+Vb3/kncv8A2Klp/wCnRq+qqKKACqmqf8gm9/64P/6Cat0UAfKt7/yTuX/sVLT/ANOjV9VUUUAFVNU/5BN7/wBcH/8AQTVuigD5Vvf+Sdy/9ipaf+nRq+qqKKAPNvHFvFoPjjQvECxrLBq7jQ9StMZNwkmdjbe5U5z1OOK4+5juNK0HUoLedZNR+HuoLNZXDvxLZyjPks3rsypA/uqK9C1bw/rGo+PDrskEEtpo9g/9kW7ScS3bg7mf+6AAF/EEd6wIfhxq0ug6Hot60ckN5fPqniWcuC08mQyxY/iUtgE/7Ge9AGZLpFtqWu6t4ZiDJpXizThrlkGGGsboYJZh1UE7ST6/KO9RaT4inM/gzx1tJuNSk/sHVYk5+0tuISZAOGwykkjPBx2roNQ8I+J7u28UahELeLWtYmWwt283i008HblT/eILMQMckHqMVpaf4Hlg8Z6XLJFGmgeH7BYdLi3Al52GHkYeoAxz3II70AUvHFvFoPjjQvECxrLBq7jQ9StMZNwkmdjbe5U5z1OOK4+5juNK0HUoLedZNR+HuoLNZXDvxLZyjPks3rsypA/uqK9C1bw/rGo+PDrskEEtpo9g/wDZFu0nEt24O5n/ALoAAX8QR3rAh+HGrS6Doei3rRyQ3l8+qeJZy4LTyZDLFj+JS2AT/sZ70AZkukW2pa7q3hmIMmleLNOGuWQYYaxuhglmHVQTtJPr8o71FpPiKcz+DPHW0m41KT+wdViTn7S24hJkA4bDKSSM8HHaug1Dwj4nu7bxRqEQt4ta1iZbC3bzeLTTwduVP94gsxAxyQeoxWlp/geWDxnpcskUaaB4fsFh0uLcCXnYYeRh6gDHPcgjvQBS8cW8Wg+ONC8QLGssGruND1K0xk3CSZ2Nt7lTnPU44rj7mO40rQdSgt51k1H4e6gs1lcO/EtnKM+SzeuzKkD+6or0LVvD+saj48OuyQQS2mj2D/2RbtJxLduDuZ/7oAAX8QR3rAh+HGrS6Doei3rRyQ3l8+qeJZy4LTyZDLFj+JS2AT/sZ70AZkukW2pa7q3hmIMmleLNOGuWQYYaxuhglmHVQTtJPr8o71FpPiKcz+DPHW0m41KT+wdViTn7S24hJkA4bDKSSM8HHaug1Dwj4nu7bxRqEQt4ta1iZbC3bzeLTTwduVP94gsxAxyQeoxWlp/geWDxnpcskUaaB4fsFh0uLcCXnYYeRh6gDHPcgjvQBS8cW8Wg+ONC8QLGssGruND1K0xk3CSZ2Nt7lTnPU44rj7mO40rQdSgt51k1H4e6gs1lcO/EtnKM+SzeuzKkD+6or0LVvD+saj48OuyQQS2mj2D/ANkW7ScS3bg7mf8AugABfxBHesCH4catLoOh6LetHJDeXz6p4lnLgtPJkMsWP4lLYBP+xnvQBmS6RbalrureGYgyaV4s04a5ZBhhrG6GCWYdVBO0k+vyjvUWk+IpzP4M8dbSbjUpP7B1WJOftLbiEmQDhsMpJIzwcdq6DUPCPie7tvFGoRC3i1rWJlsLdvN4tNPB25U/3iCzEDHJB6jFaWn+B5YPGelyyRRpoHh+wWHS4twJedhh5GHqAMc9yCO9AHkFFFFABRRRQAUUUUAFFFFAHvmveNvDnhe5itta1WGzmlTzER1Y7lzjPAPcVk/8Lc8Bf9DJbf8AfD//ABNYfxPj159YsjpMWuPF9n+c6dYwzru3HqX5B9hXCPH4xjjaR4fFyooJYnSLXgD8aAPV/wDhbngL/oZLb/vh/wD4mu1r5f1u9u7rwTrPnanNf2l1otrfw/aLaKJ4mN8sZHyD0Q9+9fUFAGBr3jbw54XuYrbWtVhs5pU8xEdWO5c4zwD3FZP/AAtzwF/0Mlt/3w//AMTWH8T49efWLI6TFrjxfZ/nOnWMM67tx6l+QfYVwjx+MY42keHxcqKCWJ0i14A/GgD1f/hbngL/AKGS2/74f/4mu1r5f1u9u7rwTrPnanNf2l1otrfw/aLaKJ4mN8sZHyD0Q9+9fUFAGBr3jbw54XuYrbWtVhs5pU8xEdWO5c4zwD3FZP8AwtzwF/0Mlt/3w/8A8TWH8T49efWLI6TFrjxfZ/nOnWMM67tx6l+QfYVwjx+MY42keHxcqKCWJ0i14A/GgD1f/hbngL/oZLb/AL4f/wCJrta+X9bvbu68E6z52pzX9pdaLa38P2i2iieJjfLGR8g9EPfvX1BQBga9428OeF7mK21rVYbOaVPMRHVjuXOM8A9xWT/wtzwF/wBDJbf98P8A/E1h/E+PXn1iyOkxa48X2f5zp1jDOu7cepfkH2FcI8fjGONpHh8XKiglidIteAPxoA9X/wCFueAv+hktv++H/wDia7Wvl/W727uvBOs+dqc1/aXWi2t/D9otooniY3yxkfIPRD3719QUAYGveNvDnhe5itta1WGzmlTzER1Y7lzjPAPcVk/8Lc8Bf9DJbf8AfD//ABNYfxPj159YsjpMWuPF9n+c6dYwzru3HqX5B9hXCPH4xjjaR4fFyooJYnSLXgD8aAPV/wDhbngL/oZLb/vh/wD4mu1r5f1u9u7rwTrPnanNf2l1otrfw/aLaKJ4mN8sZHyD0Q9+9fUFAGBr3jbw54XuYrbWtVhs5pU8xEdWO5c4zwD3FZP/AAtzwF/0Mlt/3w//AMTWH8T49efWLI6TFrjxfZ/nOnWMM67tx6l+QfYVwjx+MY42keHxcqKCWJ0i14A/GgD1f/hbngL/AKGS2/74f/4mu1r5f1u9u7rwTrPnanNf2l1otrfw/aLaKJ4mN8sZHyD0Q9+9fUFAGBr3jbw54XuYrbWtVhs5pU8xEdWO5c4zwD3FZP8AwtzwF/0Mlt/3w/8A8TWH8T49efWLI6TFrjxfZ/nOnWMM67tx6l+QfYVwjx+MY42keHxcqKCWJ0i14A/GgD1f/hbngL/oZLb/AL4f/wCJrta+X9bvbu68E6z52pzX9pdaLa38P2i2iieJjfLGR8g9EPfvX1BQB4vRWBqNhcT6pJPpOtGC/RF8y1kYSRMvbcnVc+oqnLaeItTRjq1/BpNig/eCzf55AOp3n7o/ya/PY4eMknzpfff7uvy/A+6lXkm1yt/db7+nz/E6uiuUitPEWmIp0m/g1axcfuxeP88YPQ7x94f5FXNOsLiDVI59W1oz37o3l2sbCOJV77U6tj1NEsPGKb50/vv93T5/iEa8m0uVr7rff1+X4G/RWBqNhcT6pJPpOtGC/RF8y1kYSRMvbcnVc+oqnLaeItTRjq1/BpNig/eCzf55AOp3n7o/yaI4eMknzpfff7uvy/AJV5Jtcrf3W+/p8/xOrorlIrTxFpiKdJv4NWsXH7sXj/PGD0O8feH+RVzTrC4g1SOfVtaM9+6N5drGwjiVe+1OrY9TRLDxim+dP77/AHdPn+IRrybS5Wvut9/X5fgb9FYGo2FxPqkk+k60YL9EXzLWRhJEy9tydVz6iqctp4i1NGOrX8Gk2KD94LN/nkA6nefuj/Jojh4ySfOl99/u6/L8AlXkm1yt/db7+nz/ABOrorlIrTxFpiKdJv4NWsXH7sXj/PGD0O8feH+RVzTrC4g1SOfVtaM9+6N5drGwjiVe+1OrY9TRLDxim+dP77/d0+f4hGvJtLla+6339fl+Bv0VgajYXE+qST6TrRgv0RfMtZGEkTL23J1XPqKpy2niLU0Y6tfwaTYoP3gs3+eQDqd5+6P8miOHjJJ86X33+7r8vwCVeSbXK391vv6fP8Tq6K5SK08RaYinSb+DVrFx+7F4/wA8YPQ7x94f5FXNOsLiDVI59W1oz37o3l2sbCOJV77U6tj1NEsPGKb50/vv93T5/iEa8m0uVr7rff1+X4G/RWBqNhcT6pJPpOtGC/RF8y1kYSRMvbcnVc+oqnLaeItTRjq1/BpNig/eCzf55AOp3n7o/wAmiOHjJJ86X33+7r8vwCVeSbXK391vv6fP8Tq6K5SK08RaYinSb+DVrFx+7F4/zxg9DvH3h/kVc06wuINUjn1bWjPfujeXaxsI4lXvtTq2PU0Sw8YpvnT++/3dPn+IRrybS5Wvut9/X5fgel+ONQ8SQTyRxavpfhvQEQebq1w4knckcrGhwAe3PPcelcb4d1aU3Tf8IL46l1S4J3S6R4kLBrnvvicgMMjJAGRzziug8XafBd+NzLp/hG41vWo4U23OpOV060HZhu4ZuhIUZ46g5rE1eLVNSsjL4m0XSfGOlIxBvvDzYurFh1VQDlgpzwDnjLelfoR8KReItWlF0v8AwnXjqXS7gHdFpHhssWtu++VwCxwMEg4HHGa7LwPqHiSeeOOXV9L8SaA6HytWt3Ec6EDhZEGQT2457n0rktIi1TTbIS+GdF0nwdpTsAL7xC2bq+Y9FYE5UMccE55yvpW34R0+C08biXUPCNxomtSQvuudNctp12O7HbwrdSAwzz1JxQB1+veNvDnhe5itta1WGzmlTzER1Y7lzjPAPcVk/wDC3PAX/QyW3/fD/wDxNYfxPj159YsjpMWuPF9n+c6dYwzru3HqX5B9hXCPH4xjjaR4fFyooJYnSLXgD8aAPV/+FueAv+hktv8Avh//AImu1r5f1u9u7rwTrPnanNf2l1otrfw/aLaKJ4mN8sZHyD0Q9+9fUFAGBr3jbw54XuYrbWtVhs5pU8xEdWO5c4zwD3FZP/C3PAX/AEMlt/3w/wD8TWH8T49efWLI6TFrjxfZ/nOnWMM67tx6l+QfYVwjx+MY42keHxcqKCWJ0i14A/GgD1f/AIW54C/6GS2/74f/AOJrta+X9bvbu68E6z52pzX9pdaLa38P2i2iieJjfLGR8g9EPfvX1BQBga9428OeF7mK21rVYbOaVPMRHVjuXOM8A9xWT/wtzwF/0Mlt/wB8P/8AE1h/E+PXn1iyOkxa48X2f5zp1jDOu7cepfkH2FcI8fjGONpHh8XKiglidIteAPxoA9X/AOFueAv+hktv++H/APia7Wvl/W727uvBOs+dqc1/aXWi2t/D9otooniY3yxkfIPRD3719QUAYGveNvDnhe5itta1WGzmlTzER1Y7lzjPAPcVk/8AC3PAX/QyW3/fD/8AxNYfxPj159YsjpMWuPF9n+c6dYwzru3HqX5B9hXCPH4xjjaR4fFyooJYnSLXgD8aAPV/+FueAv8AoZLb/vh//ia7Wvl/W727uvBOs+dqc1/aXWi2t/D9otooniY3yxkfIPRD3719QUAYGveNvDnhe5itta1WGzmlTzER1Y7lzjPAPcVk/wDC3PAX/QyW3/fD/wDxNYfxPj159YsjpMWuPF9n+c6dYwzru3HqX5B9hXCPH4xjjaR4fFyooJYnSLXgD8aAPV/+FueAv+hktv8Avh//AImu1r5f1u9u7rwTrPnanNf2l1otrfw/aLaKJ4mN8sZHyD0Q9+9fUFAGBr3jbw54XuYrbWtVhs5pU8xEdWO5c4zwD3FZP/C3PAX/AEMlt/3w/wD8TWH8T49efWLI6TFrjxfZ/nOnWMM67tx6l+QfYVwjx+MY42keHxcqKCWJ0i14A/GgD1f/AIW54C/6GS2/74f/AOJrta+X9bvbu68E6z52pzX9pdaLa38P2i2iieJjfLGR8g9EPfvX1BQBga9428OeF7mK21rVYbOaVPMRHVjuXOM8A9xWT/wtzwF/0Mlt/wB8P/8AE1h/E+PXn1iyOkxa48X2f5zp1jDOu7cepfkH2FcI8fjGONpHh8XKiglidIteAPxoA9X/AOFueAv+hktv++H/APia7Wvl/W727uvBOs+dqc1/aXWi2t/D9otooniY3yxkfIPRD3719QUAcH441DxJBPJHFq+l+G9ARB5urXDiSdyRysaHAB7c89x6Vxvh3VpTdN/wgvjqXVLgndLpHiQsGue++JyAwyMkAZHPOK6Dxdp8F343Mun+EbjW9ajhTbc6k5XTrQdmG7hm6EhRnjqDmsTV4tU1KyMvibRdJ8Y6UjEG+8PNi6sWHVVAOWCnPAOeMt6UAReItWlF0v8AwnXjqXS7gHdFpHhssWtu++VwCxwMEg4HHGa7LwPqHiSeeOOXV9L8SaA6HytWt3Ec6EDhZEGQT2457n0rktIi1TTbIS+GdF0nwdpTsAL7xC2bq+Y9FYE5UMccE55yvpW34R0+C08biXUPCNxomtSQvuudNctp12O7HbwrdSAwzz1JxQBi0VgajYXE+qST6TrRgv0RfMtZGEkTL23J1XPqKpy2niLU0Y6tfwaTYoP3gs3+eQDqd5+6P8mvz2OHjJJ86X33+7r8vwPupV5Jtcrf3W+/p8/xOrorlIrTxFpiKdJv4NWsXH7sXj/PGD0O8feH+RVzTrC4g1SOfVtaM9+6N5drGwjiVe+1OrY9TRLDxim+dP77/d0+f4hGvJtLla+6339fl+Bv0VgajYXE+qST6TrRgv0RfMtZGEkTL23J1XPqKpy2niLU0Y6tfwaTYoP3gs3+eQDqd5+6P8miOHjJJ86X33+7r8vwCVeSbXK391vv6fP8Tq6K5SK08RaYinSb+DVrFx+7F4/zxg9DvH3h/kVc06wuINUjn1bWjPfujeXaxsI4lXvtTq2PU0Sw8YpvnT++/wB3T5/iEa8m0uVr7rff1+X4G/RWBqNhcT6pJPpOtGC/RF8y1kYSRMvbcnVc+oqnLaeItTRjq1/BpNig/eCzf55AOp3n7o/yaI4eMknzpfff7uvy/AJV5Jtcrf3W+/p8/wATq6K5SK08RaYinSb+DVrFx+7F4/zxg9DvH3h/kVc06wuINUjn1bWjPfujeXaxsI4lXvtTq2PU0Sw8YpvnT++/3dPn+IRrybS5Wvut9/X5fgb9FYGo2FxPqkk+k60YL9EXzLWRhJEy9tydVz6iqctp4i1NGOrX8Gk2KD94LN/nkA6nefuj/Jojh4ySfOl99/u6/L8AlXkm1yt/db7+nz/E6uiuUitPEWmIp0m/g1axcfuxeP8APGD0O8feH+RVzTrC4g1SOfVtaM9+6N5drGwjiVe+1OrY9TRLDxim+dP77/d0+f4hGvJtLla+6339fl+Bl0UUV+hHwoUUUUAFFFFABRRRQB9N1U1T/kE3v/XB/wD0E1booA+Vb3/kncv/AGKlp/6dGr6qoooAKqap/wAgm9/64P8A+gmrdFAHyre/8k7l/wCxUtP/AE6NX1VRRQAVU1T/AJBN7/1wf/0E1booA+Vb3/kncv8A2Klp/wCnRq+qqKKACqmqf8gm9/64P/6Cat0UAfKt7/yTuX/sVLT/ANOjV9VUUUAFVNU/5BN7/wBcH/8AQTVuigD5Vvf+Sdy/9ipaf+nRq+qqKKACqmqf8gm9/wCuD/8AoJq3RQB8q3v/ACTuX/sVLT/06NX1VRRQAVU1T/kE3v8A1wf/ANBNW6KAPlW9/wCSdy/9ipaf+nRq+qqKKAPmvXo/Dt3rSW17NJYaoFDQ3iExE+wfofofwqtf6fpunJHP4q1yXUdv+pt3G1W9P3a/ePuePWutvLG11G3a3vLeOeI9VkXIrO0vwto+jyma0tB53aSQl2UdgCeg7cV8JTxUYwScpadNPwe8fTU+0qYaUptpLX1/FbS/Aw7DT9N1FJJ/CuuS6du/11ug3Kvr+7b7p9xx6VZ0GPw7aa09tZTSX+qFS0145MpHsX6D6D8a09U8LaPrEomu7Qed3kjJRmHcEjqO3NaNnY2unW629nbxwRDosa4FKpioyg0pS19Pxe8vwCnhpRmm0tPX8FtH8Tm9ej8O3etJbXs0lhqgUNDeITET7B+h+h/Cq1/p+m6ckc/irXJdR2/6m3cbVb0/dr94+549a628sbXUbdre8t454j1WRcis7S/C2j6PKZrS0HndpJCXZR2AJ6DtxTp4qMYJOUtOmn4PePpqFTDSlNtJa+v4raX4GHYafpuopJP4V1yXTt3+ut0G5V9f3bfdPuOPSrOgx+HbTWntrKaS/wBUKlprxyZSPYv0H0H41p6p4W0fWJRNd2g87vJGSjMO4JHUdua0bOxtdOt1t7O3jgiHRY1wKVTFRlBpSlr6fi95fgFPDSjNNpaev4LaP4nN69H4du9aS2vZpLDVAoaG8QmIn2D9D9D+FVr/AE/TdOSOfxVrkuo7f9TbuNqt6fu1+8fc8etdbeWNrqNu1veW8c8R6rIuRWdpfhbR9HlM1paDzu0khLso7AE9B24p08VGMEnKWnTT8HvH01CphpSm2ktfX8VtL8DDsNP03UUkn8K65Lp27/XW6Dcq+v7tvun3HHpVnQY/DtprT21lNJf6oVLTXjkykexfoPoPxrT1Twto+sSia7tB53eSMlGYdwSOo7c1o2dja6dbrb2dvHBEOixrgUqmKjKDSlLX0/F7y/AKeGlGabS09fwW0fxOb16Pw7d60ltezSWGqBQ0N4hMRPsH6H6H8KrX+n6bpyRz+Ktcl1Hb/qbdxtVvT92v3j7nj1rrbyxtdRt2t7y3jniPVZFyKztL8LaPo8pmtLQed2kkJdlHYAnoO3FOnioxgk5S06afg94+moVMNKU20lr6/itpfgYdhp+m6ikk/hXXJdO3f663QblX1/dt90+449Ks6DH4dtNae2sppL/VCpaa8cmUj2L9B9B+NaeqeFtH1iUTXdoPO7yRkozDuCR1HbmtGzsbXTrdbezt44Ih0WNcClUxUZQaUpa+n4veX4BTw0ozTaWnr+C2j+JzevR+HbvWktr2aSw1QKGhvEJiJ9g/Q/Q/hVa/0/TdOSOfxVrkuo7f9TbuNqt6fu1+8fc8etdbeWNrqNu1veW8c8R6rIuRWdpfhbR9HlM1paDzu0khLso7AE9B24p08VGMEnKWnTT8HvH01CphpSm2ktfX8VtL8DDsNP03UUkn8K65Lp27/XW6Dcq+v7tvun3HHpVnQY/DtprT21lNJf6oVLTXjkykexfoPoPxrT1Twto+sSia7tB53eSMlGYdwSOo7c1o2dja6dbrb2dvHBEOixrgUqmKjKDSlLX0/F7y/AKeGlGabS09fwW0fxNr4jzaTLry2WteINTvoZEUQ+F9IjIlnbHJkZTkqc5wdvTjNc5JbaVpV5BcT6Vqvw21GQKtvfQOJ7OUfwrNj5c9yrY9zXoXiDSfFeo+Ipo9CGl6LaSxKtxrPlCW7lH9xVwMAf7R9we1Ztx4H8UaDDI3h/xDJrMEo/0rS/EJ86O4J+8VfGVJ546ZPNfeHxZx8dtpWq3k9xBpWq/EnUYwy3F9cOILOIfxLDn5c9wq59jXR/DibSYteay0XxBqdjDGjCbwvq8ZMsDY4MbMchRjOBu684q7b+B/FGvQxt4g8QyaNBEP9F0vw8fJjtyPulnxliOOOmRxWl4f0nxXp3iKGPXRpetWkUTLb6z5Qiu4h/cZcHIP+yfcntQB29VNU/5BN7/1wf8A9BNW6KAPlW9/5J3L/wBipaf+nRq+qqKKACqmqf8AIJvf+uD/APoJq3RQB8q3v/JO5f8AsVLT/wBOjV9VUUUAFVNU/wCQTe/9cH/9BNW6KAPlW9/5J3L/ANipaf8Ap0avqqiigAqpqn/IJvf+uD/+gmrdFAHyre/8k7l/7FS0/wDTo1fVVFFABVTVP+QTe/8AXB//AEE1booA+Vb3/kncv/YqWn/p0avqqiigAqpqn/IJvf8Arg//AKCat0UAfKt7/wAk7l/7FS0/9OjV9VUUUAFVNU/5BN7/ANcH/wDQTVuigD5Vvf8Akncv/YqWn/p0avqqiigDyn4jzaTLry2WteINTvoZEUQ+F9IjIlnbHJkZTkqc5wdvTjNc5JbaVpV5BcT6Vqvw21GQKtvfQOJ7OUfwrNj5c9yrY9zXoXiDSfFeo+Ipo9CGl6LaSxKtxrPlCW7lH9xVwMAf7R9we1Ztx4H8UaDDI3h/xDJrMEo/0rS/EJ86O4J+8VfGVJ546ZPNAHHx22lareT3EGlar8SdRjDLcX1w4gs4h/EsOflz3Crn2NdH8OJtJi15rLRfEGp2MMaMJvC+rxkywNjgxsxyFGM4G7rzirtv4H8Ua9DG3iDxDJo0EQ/0XS/Dx8mO3I+6WfGWI446ZHFaXh/SfFeneIoY9dGl61aRRMtvrPlCK7iH9xlwcg/7J9ye1AHkWvR+HbvWktr2aSw1QKGhvEJiJ9g/Q/Q/hVa/0/TdOSOfxVrkuo7f9TbuNqt6fu1+8fc8etdbeWNrqNu1veW8c8R6rIuRWdpfhbR9HlM1paDzu0khLso7AE9B24r4Snioxgk5S06afg94+mp9pUw0pTbSWvr+K2l+Bh2Gn6bqKST+Fdcl07d/rrdBuVfX9233T7jj0qzoMfh201p7aymkv9UKlprxyZSPYv0H0H41p6p4W0fWJRNd2g87vJGSjMO4JHUdua0bOxtdOt1t7O3jgiHRY1wKVTFRlBpSlr6fi95fgFPDSjNNpaev4LaP4nN69H4du9aS2vZpLDVAoaG8QmIn2D9D9D+FVr/T9N05I5/FWuS6jt/1Nu42q3p+7X7x9zx611t5Y2uo27W95bxzxHqsi5FZ2l+FtH0eUzWloPO7SSEuyjsAT0HbinTxUYwScpadNPwe8fTUKmGlKbaS19fxW0vwMOw0/TdRSSfwrrkunbv9dboNyr6/u2+6fccelWdBj8O2mtPbWU0l/qhUtNeOTKR7F+g+g/GtPVPC2j6xKJru0Hnd5IyUZh3BI6jtzWjZ2Nrp1utvZ28cEQ6LGuBSqYqMoNKUtfT8XvL8Ap4aUZptLT1/BbR/E5vXo/Dt3rSW17NJYaoFDQ3iExE+wfofofwqtf6fpunJHP4q1yXUdv8AqbdxtVvT92v3j7nj1rrbyxtdRt2t7y3jniPVZFyKztL8LaPo8pmtLQed2kkJdlHYAnoO3FOnioxgk5S06afg94+moVMNKU20lr6/itpfgYdhp+m6ikk/hXXJdO3f663QblX1/dt90+449Ks6DH4dtNae2sppL/VCpaa8cmUj2L9B9B+NaeqeFtH1iUTXdoPO7yRkozDuCR1HbmtGzsbXTrdbezt44Ih0WNcClUxUZQaUpa+n4veX4BTw0ozTaWnr+C2j+JzevR+HbvWktr2aSw1QKGhvEJiJ9g/Q/Q/hVa/0/TdOSOfxVrkuo7f9TbuNqt6fu1+8fc8etdbeWNrqNu1veW8c8R6rIuRWdpfhbR9HlM1paDzu0khLso7AE9B24p08VGMEnKWnTT8HvH01CphpSm2ktfX8VtL8DDsNP03UUkn8K65Lp27/AF1ug3Kvr+7b7p9xx6VZ0GPw7aa09tZTSX+qFS0145MpHsX6D6D8a09U8LaPrEomu7Qed3kjJRmHcEjqO3NaNnY2unW629nbxwRDosa4FKpioyg0pS19Pxe8vwCnhpRmm0tPX8FtH8TlKKKK+8PiwooooAKKKKACiiigD3zXvG3hzwvcxW2tarDZzSp5iI6sdy5xngHuKyf+FueAv+hktv8Avh//AImsP4nx68+sWR0mLXHi+z/OdOsYZ13bj1L8g+wrhHj8YxxtI8Pi5UUEsTpFrwB+NAHq/wDwtzwF/wBDJbf98P8A/E12tfL+t3t3deCdZ87U5r+0utFtb+H7RbRRPExvljI+QeiHv3r6goAwNe8beHPC9zFba1qsNnNKnmIjqx3LnGeAe4rJ/wCFueAv+hktv++H/wDiaw/ifHrz6xZHSYtceL7P8506xhnXduPUvyD7CuEePxjHG0jw+LlRQSxOkWvAH40Aer/8Lc8Bf9DJbf8AfD//ABNdrXy/rd7d3XgnWfO1Oa/tLrRbW/h+0W0UTxMb5YyPkHoh796+oKAMDXvG3hzwvcxW2tarDZzSp5iI6sdy5xngHuKyf+FueAv+hktv++H/APiaw/ifHrz6xZHSYtceL7P8506xhnXduPUvyD7CuEePxjHG0jw+LlRQSxOkWvAH40Aer/8AC3PAX/QyW3/fD/8AxNdrXy/rd7d3XgnWfO1Oa/tLrRbW/h+0W0UTxMb5YyPkHoh796+oKAMDXvG3hzwvcxW2tarDZzSp5iI6sdy5xngHuKyf+FueAv8AoZLb/vh//iaw/ifHrz6xZHSYtceL7P8AOdOsYZ13bj1L8g+wrhHj8YxxtI8Pi5UUEsTpFrwB+NAHq/8AwtzwF/0Mlt/3w/8A8TXa18v63e3d14J1nztTmv7S60W1v4ftFtFE8TG+WMj5B6Ie/evqCgDA17xt4c8L3MVtrWqw2c0qeYiOrHcucZ4B7isn/hbngL/oZLb/AL4f/wCJrD+J8evPrFkdJi1x4vs/znTrGGdd249S/IPsK4R4/GMcbSPD4uVFBLE6Ra8AfjQB6v8A8Lc8Bf8AQyW3/fD/APxNdrXy/rd7d3XgnWfO1Oa/tLrRbW/h+0W0UTxMb5YyPkHoh796+oKAMDXvG3hzwvcxW2tarDZzSp5iI6sdy5xngHuKyf8AhbngL/oZLb/vh/8A4msP4nx68+sWR0mLXHi+z/OdOsYZ13bj1L8g+wrhHj8YxxtI8Pi5UUEsTpFrwB+NAHq//C3PAX/QyW3/AHw//wATXa18v63e3d14J1nztTmv7S60W1v4ftFtFE8TG+WMj5B6Ie/evqCgDA17xt4c8L3MVtrWqw2c0qeYiOrHcucZ4B7isn/hbngL/oZLb/vh/wD4msP4nx68+sWR0mLXHi+z/OdOsYZ13bj1L8g+wrhHj8YxxtI8Pi5UUEsTpFrwB+NAHq//AAtzwF/0Mlt/3w//AMTXa18v63e3d14J1nztTmv7S60W1v4ftFtFE8TG+WMj5B6Ie/evqCgDxeisDUbC4n1SSfSdaMF+iL5lrIwkiZe25Oq59RVOW08RamjHVr+DSbFB+8Fm/wA8gHU7z90f5NfnscPGST50vvv93X5fgfdSryTa5W/ut9/T5/idXRXKRWniLTEU6TfwatYuP3YvH+eMHod4+8P8irmnWFxBqkc+ra0Z790by7WNhHEq99qdWx6miWHjFN86f33+7p8/xCNeTaXK191vv6/L8DforA1GwuJ9Ukn0nWjBfoi+ZayMJImXtuTqufUVTltPEWpox1a/g0mxQfvBZv8APIB1O8/dH+TRHDxkk+dL77/d1+X4BKvJNrlb+6339Pn+J1dFcpFaeItMRTpN/Bq1i4/di8f54weh3j7w/wAirmnWFxBqkc+ra0Z790by7WNhHEq99qdWx6miWHjFN86f33+7p8/xCNeTaXK191vv6/L8DforA1GwuJ9Ukn0nWjBfoi+ZayMJImXtuTqufUVTltPEWpox1a/g0mxQfvBZv88gHU7z90f5NEcPGST50vvv93X5fgEq8k2uVv7rff0+f4nV0VykVp4i0xFOk38GrWLj92Lx/njB6HePvD/Iq5p1hcQapHPq2tGe/dG8u1jYRxKvfanVsepolh4xTfOn99/u6fP8QjXk2lytfdb7+vy/A36KwNRsLifVJJ9J1owX6IvmWsjCSJl7bk6rn1FU5bTxFqaMdWv4NJsUH7wWb/PIB1O8/dH+TRHDxkk+dL77/d1+X4BKvJNrlb+6339Pn+J1dFcpFaeItMRTpN/Bq1i4/di8f54weh3j7w/yKuadYXEGqRz6trRnv3RvLtY2EcSr32p1bHqaJYeMU3zp/ff7unz/ABCNeTaXK191vv6/L8DforA1GwuJ9Ukn0nWjBfoi+ZayMJImXtuTqufUVTltPEWpox1a/g0mxQfvBZv88gHU7z90f5NEcPGST50vvv8Ad1+X4BKvJNrlb+6339Pn+J1dFcpFaeItMRTpN/Bq1i4/di8f54weh3j7w/yKuadYXEGqRz6trRnv3RvLtY2EcSr32p1bHqaJYeMU3zp/ff7unz/EI15NpcrX3W+/r8vwPS/HGoeJIJ5I4tX0vw3oCIPN1a4cSTuSOVjQ4APbnnuPSuN8O6tKbpv+EF8dS6pcE7pdI8SFg1z33xOQGGRkgDI55xXQeLtPgu/G5l0/wjca3rUcKbbnUnK6daDsw3cM3QkKM8dQc1iavFqmpWRl8TaLpPjHSkYg33h5sXViw6qoBywU54BzxlvSv0I+FIvEWrSi6X/hOvHUul3AO6LSPDZYtbd98rgFjgYJBwOOM12XgfUPEk88ccur6X4k0B0PlatbuI50IHCyIMgntxz3PpXJaRFqmm2Ql8M6LpPg7SnYAX3iFs3V8x6KwJyoY44JzzlfStvwjp8Fp43EuoeEbjRNakhfdc6a5bTrsd2O3hW6kBhnnqTigDr9e8beHPC9zFba1qsNnNKnmIjqx3LnGeAe4rJ/4W54C/6GS2/74f8A+JrD+J8evPrFkdJi1x4vs/znTrGGdd249S/IPsK4R4/GMcbSPD4uVFBLE6Ra8AfjQB6v/wALc8Bf9DJbf98P/wDE12tfL+t3t3deCdZ87U5r+0utFtb+H7RbRRPExvljI+QeiHv3r6goAwNe8beHPC9zFba1qsNnNKnmIjqx3LnGeAe4rJ/4W54C/wChktv++H/+JrD+J8evPrFkdJi1x4vs/wA506xhnXduPUvyD7CuEePxjHG0jw+LlRQSxOkWvAH40Aer/wDC3PAX/QyW3/fD/wDxNdrXy/rd7d3XgnWfO1Oa/tLrRbW/h+0W0UTxMb5YyPkHoh796+oKAMDXvG3hzwvcxW2tarDZzSp5iI6sdy5xngHuKyf+FueAv+hktv8Avh//AImsP4nx68+sWR0mLXHi+z/OdOsYZ13bj1L8g+wrhHj8YxxtI8Pi5UUEsTpFrwB+NAHq/wDwtzwF/wBDJbf98P8A/E12tfL+t3t3deCdZ87U5r+0utFtb+H7RbRRPExvljI+QeiHv3r6goAwNe8beHPC9zFba1qsNnNKnmIjqx3LnGeAe4rJ/wCFueAv+hktv++H/wDiaw/ifHrz6xZHSYtceL7P8506xhnXduPUvyD7CuEePxjHG0jw+LlRQSxOkWvAH40Aer/8Lc8Bf9DJbf8AfD//ABNdrXy/rd7d3XgnWfO1Oa/tLrRbW/h+0W0UTxMb5YyPkHoh796+oKAMDXvG3hzwvcxW2tarDZzSp5iI6sdy5xngHuKyf+FueAv+hktv++H/APiaw/ifHrz6xZHSYtceL7P8506xhnXduPUvyD7CuEePxjHG0jw+LlRQSxOkWvAH40Aer/8AC3PAX/QyW3/fD/8AxNdrXy/rd7d3XgnWfO1Oa/tLrRbW/h+0W0UTxMb5YyPkHoh796+oKAMDXvG3hzwvcxW2tarDZzSp5iI6sdy5xngHuKyf+FueAv8AoZLb/vh//iaw/ifHrz6xZHSYtceL7P8AOdOsYZ13bj1L8g+wrhHj8YxxtI8Pi5UUEsTpFrwB+NAHq/8AwtzwF/0Mlt/3w/8A8TXa18v63e3d14J1nztTmv7S60W1v4ftFtFE8TG+WMj5B6Ie/evqCgDA17xt4c8L3MVtrWqw2c0qeYiOrHcucZ4B7isn/hbngL/oZLb/AL4f/wCJrD+J8evPrFkdJi1x4vs/znTrGGdd249S/IPsK4R4/GMcbSPD4uVFBLE6Ra8AfjQB6v8A8Lc8Bf8AQyW3/fD/APxNdrXy/rd7d3XgnWfO1Oa/tLrRbW/h+0W0UTxMb5YyPkHoh796+oKAOD8cah4kgnkji1fS/DegIg83VrhxJO5I5WNDgA9uee49K43w7q0pum/4QXx1LqlwTul0jxIWDXPffE5AYZGSAMjnnFdB4u0+C78bmXT/AAjca3rUcKbbnUnK6daDsw3cM3QkKM8dQc1iavFqmpWRl8TaLpPjHSkYg33h5sXViw6qoBywU54BzxlvSgCLxFq0oul/4Trx1LpdwDui0jw2WLW3ffK4BY4GCQcDjjNdl4H1DxJPPHHLq+l+JNAdD5WrW7iOdCBwsiDIJ7cc9z6VyWkRapptkJfDOi6T4O0p2AF94hbN1fMeisCcqGOOCc85X0rb8I6fBaeNxLqHhG40TWpIX3XOmuW067Hdjt4VupAYZ56k4oAxaKwNRsLifVJJ9J1owX6IvmWsjCSJl7bk6rn1FU5bTxFqaMdWv4NJsUH7wWb/ADyAdTvP3R/k1+exw8ZJPnS++/3dfl+B91KvJNrlb+6339Pn+J1dFcpFaeItMRTpN/Bq1i4/di8f54weh3j7w/yKuadYXEGqRz6trRnv3RvLtY2EcSr32p1bHqaJYeMU3zp/ff7unz/EI15NpcrX3W+/r8vwN+isDUbC4n1SSfSdaMF+iL5lrIwkiZe25Oq59RVOW08RamjHVr+DSbFB+8Fm/wA8gHU7z90f5NEcPGST50vvv93X5fgEq8k2uVv7rff0+f4nV0VykVp4i0xFOk38GrWLj92Lx/njB6HePvD/ACKuadYXEGqRz6trRnv3RvLtY2EcSr32p1bHqaJYeMU3zp/ff7unz/EI15NpcrX3W+/r8vwN+isDUbC4n1SSfSdaMF+iL5lrIwkiZe25Oq59RVOW08RamjHVr+DSbFB+8Fm/zyAdTvP3R/k0Rw8ZJPnS++/3dfl+ASryTa5W/ut9/T5/idXRXKRWniLTEU6TfwatYuP3YvH+eMHod4+8P8irmnWFxBqkc+ra0Z790by7WNhHEq99qdWx6miWHjFN86f33+7p8/xCNeTaXK191vv6/L8DforA1GwuJ9Ukn0nWjBfoi+ZayMJImXtuTqufUVTltPEWpox1a/g0mxQfvBZv88gHU7z90f5NEcPGST50vvv93X5fgEq8k2uVv7rff0+f4nV0VykVp4i0xFOk38GrWLj92Lx/njB6HePvD/Iq5p1hcQapHPq2tGe/dG8u1jYRxKvfanVsepolh4xTfOn99/u6fP8AEI15NpcrX3W+/r8vwMuiiiv0I+FCiiigAooooAKKKKAPpuqmqf8AIJvf+uD/APoJq3RQB8q3v/JO5f8AsVLT/wBOjV9VUUUAFVNU/wCQTe/9cH/9BNW6KAPlW9/5J3L/ANipaf8Ap0avqqiigAqpqn/IJvf+uD/+gmrdFAHyre/8k7l/7FS0/wDTo1fVVFFABVTVP+QTe/8AXB//AEE1booA+Vb3/kncv/YqWn/p0avqqiigAqpqn/IJvf8Arg//AKCat0UAfKt7/wAk7l/7FS0/9OjV9VUUUAFVNU/5BN7/ANcH/wDQTVuigD5Vvf8Akncv/YqWn/p0avqqiigAqpqn/IJvf+uD/wDoJq3RQB8q3v8AyTuX/sVLT/06NX1VRRQB8169H4du9aS2vZpLDVAoaG8QmIn2D9D9D+FVr/T9N05I5/FWuS6jt/1Nu42q3p+7X7x9zx611t5Y2uo27W95bxzxHqsi5FZ2l+FtH0eUzWloPO7SSEuyjsAT0HbivhKeKjGCTlLTpp+D3j6an2lTDSlNtJa+v4raX4GHYafpuopJP4V1yXTt3+ut0G5V9f3bfdPuOPSrOgx+HbTWntrKaS/1QqWmvHJlI9i/QfQfjWnqnhbR9YlE13aDzu8kZKMw7gkdR25rRs7G1063W3s7eOCIdFjXApVMVGUGlKWvp+L3l+AU8NKM02lp6/gto/ic3r0fh271pLa9mksNUChobxCYifYP0P0P4VWv9P03Tkjn8Va5LqO3/U27jaren7tfvH3PHrXW3lja6jbtb3lvHPEeqyLkVnaX4W0fR5TNaWg87tJIS7KOwBPQduKdPFRjBJylp00/B7x9NQqYaUptpLX1/FbS/Aw7DT9N1FJJ/CuuS6du/wBdboNyr6/u2+6fccelWdBj8O2mtPbWU0l/qhUtNeOTKR7F+g+g/GtPVPC2j6xKJru0Hnd5IyUZh3BI6jtzWjZ2Nrp1utvZ28cEQ6LGuBSqYqMoNKUtfT8XvL8Ap4aUZptLT1/BbR/E5vXo/Dt3rSW17NJYaoFDQ3iExE+wfofofwqtf6fpunJHP4q1yXUdv+pt3G1W9P3a/ePuePWutvLG11G3a3vLeOeI9VkXIrO0vwto+jyma0tB53aSQl2UdgCeg7cU6eKjGCTlLTpp+D3j6ahUw0pTbSWvr+K2l+Bh2Gn6bqKST+Fdcl07d/rrdBuVfX9233T7jj0qzoMfh201p7aymkv9UKlprxyZSPYv0H0H41p6p4W0fWJRNd2g87vJGSjMO4JHUdua0bOxtdOt1t7O3jgiHRY1wKVTFRlBpSlr6fi95fgFPDSjNNpaev4LaP4nN69H4du9aS2vZpLDVAoaG8QmIn2D9D9D+FVr/T9N05I5/FWuS6jt/wBTbuNqt6fu1+8fc8etdbeWNrqNu1veW8c8R6rIuRWdpfhbR9HlM1paDzu0khLso7AE9B24p08VGMEnKWnTT8HvH01CphpSm2ktfX8VtL8DDsNP03UUkn8K65Lp27/XW6Dcq+v7tvun3HHpVnQY/DtprT21lNJf6oVLTXjkykexfoPoPxrT1Twto+sSia7tB53eSMlGYdwSOo7c1o2dja6dbrb2dvHBEOixrgUqmKjKDSlLX0/F7y/AKeGlGabS09fwW0fxOb16Pw7d60ltezSWGqBQ0N4hMRPsH6H6H8KrX+n6bpyRz+Ktcl1Hb/qbdxtVvT92v3j7nj1rrbyxtdRt2t7y3jniPVZFyKztL8LaPo8pmtLQed2kkJdlHYAnoO3FOnioxgk5S06afg94+moVMNKU20lr6/itpfgYdhp+m6ikk/hXXJdO3f663QblX1/dt90+449Ks6DH4dtNae2sppL/AFQqWmvHJlI9i/QfQfjWnqnhbR9YlE13aDzu8kZKMw7gkdR25rRs7G1063W3s7eOCIdFjXApVMVGUGlKWvp+L3l+AU8NKM02lp6/gto/ibXxHm0mXXlsta8QanfQyIoh8L6RGRLO2OTIynJU5zg7enGa5yS20rSryC4n0rVfhtqMgVbe+gcT2co/hWbHy57lWx7mvQvEGk+K9R8RTR6ENL0W0liVbjWfKEt3KP7irgYA/wBo+4Pas248D+KNBhkbw/4hk1mCUf6VpfiE+dHcE/eKvjKk88dMnmvvD4s4+O20rVbye4g0rVfiTqMYZbi+uHEFnEP4lhz8ue4Vc+xro/hxNpMWvNZaL4g1OxhjRhN4X1eMmWBscGNmOQoxnA3decVdt/A/ijXoY28QeIZNGgiH+i6X4ePkx25H3Sz4yxHHHTI4rS8P6T4r07xFDHro0vWrSKJlt9Z8oRXcQ/uMuDkH/ZPuT2oA7eqmqf8AIJvf+uD/APoJq3RQB8q3v/JO5f8AsVLT/wBOjV9VUUUAFVNU/wCQTe/9cH/9BNW6KAPlW9/5J3L/ANipaf8Ap0avqqiigAqpqn/IJvf+uD/+gmrdFAHyre/8k7l/7FS0/wDTo1fVVFFABVTVP+QTe/8AXB//AEE1booA+Vb3/kncv/YqWn/p0avqqiigAqpqn/IJvf8Arg//AKCat0UAfKt7/wAk7l/7FS0/9OjV9VUUUAFVNU/5BN7/ANcH/wDQTVuigD5Vvf8Akncv/YqWn/p0avqqiigAqpqn/IJvf+uD/wDoJq3RQB8q3v8AyTuX/sVLT/06NX1VRRQB5T8R5tJl15bLWvEGp30MiKIfC+kRkSztjkyMpyVOc4O3pxmuckttK0q8guJ9K1X4bajIFW3voHE9nKP4Vmx8ue5Vse5r0LxBpPivUfEU0ehDS9FtJYlW41nyhLdyj+4q4GAP9o+4Pas248D+KNBhkbw/4hk1mCUf6VpfiE+dHcE/eKvjKk88dMnmgDj47bStVvJ7iDStV+JOoxhluL64cQWcQ/iWHPy57hVz7Guj+HE2kxa81loviDU7GGNGE3hfV4yZYGxwY2Y5CjGcDd15xV238D+KNehjbxB4hk0aCIf6Lpfh4+THbkfdLPjLEccdMjitLw/pPivTvEUMeujS9atIomW31nyhFdxD+4y4OQf9k+5PagDyLXo/Dt3rSW17NJYaoFDQ3iExE+wfofofwqtf6fpunJHP4q1yXUdv+pt3G1W9P3a/ePuePWutvLG11G3a3vLeOeI9VkXIrO0vwto+jyma0tB53aSQl2UdgCeg7cV8JTxUYwScpadNPwe8fTU+0qYaUptpLX1/FbS/Aw7DT9N1FJJ/CuuS6du/11ug3Kvr+7b7p9xx6VZ0GPw7aa09tZTSX+qFS0145MpHsX6D6D8a09U8LaPrEomu7Qed3kjJRmHcEjqO3NaNnY2unW629nbxwRDosa4FKpioyg0pS19Pxe8vwCnhpRmm0tPX8FtH8Tm9ej8O3etJbXs0lhqgUNDeITET7B+h+h/Cq1/p+m6ckc/irXJdR2/6m3cbVb0/dr94+549a628sbXUbdre8t454j1WRcis7S/C2j6PKZrS0HndpJCXZR2AJ6DtxTp4qMYJOUtOmn4PePpqFTDSlNtJa+v4raX4GHYafpuopJP4V1yXTt3+ut0G5V9f3bfdPuOPSrOgx+HbTWntrKaS/wBUKlprxyZSPYv0H0H41p6p4W0fWJRNd2g87vJGSjMO4JHUdua0bOxtdOt1t7O3jgiHRY1wKVTFRlBpSlr6fi95fgFPDSjNNpaev4LaP4nN69H4du9aS2vZpLDVAoaG8QmIn2D9D9D+FVr/AE/TdOSOfxVrkuo7f9TbuNqt6fu1+8fc8etdbeWNrqNu1veW8c8R6rIuRWdpfhbR9HlM1paDzu0khLso7AE9B24p08VGMEnKWnTT8HvH01CphpSm2ktfX8VtL8DDsNP03UUkn8K65Lp27/XW6Dcq+v7tvun3HHpVnQY/DtprT21lNJf6oVLTXjkykexfoPoPxrT1Twto+sSia7tB53eSMlGYdwSOo7c1o2dja6dbrb2dvHBEOixrgUqmKjKDSlLX0/F7y/AKeGlGabS09fwW0fxOb16Pw7d60ltezSWGqBQ0N4hMRPsH6H6H8KrX+n6bpyRz+Ktcl1Hb/qbdxtVvT92v3j7nj1rrbyxtdRt2t7y3jniPVZFyKztL8LaPo8pmtLQed2kkJdlHYAnoO3FOnioxgk5S06afg94+moVMNKU20lr6/itpfgYdhp+m6ikk/hXXJdO3f663QblX1/dt90+449Ks6DH4dtNae2sppL/VCpaa8cmUj2L9B9B+NaeqeFtH1iUTXdoPO7yRkozDuCR1HbmtGzsbXTrdbezt44Ih0WNcClUxUZQaUpa+n4veX4BTw0ozTaWnr+C2j+JylFFFfeHxYUUUUAFFFFABRRRQB75r3jbw54XuYrbWtVhs5pU8xEdWO5c4zwD3FZP/AAtzwF/0Mlt/3w//AMTWH8T49efWLI6TFrjxfZ/nOnWMM67tx6l+QfYVwjx+MY42keHxcqKCWJ0i14A/GgD1f/hbngL/AKGS2/74f/4mu1r5f1u9u7rwTrPnanNf2l1otrfw/aLaKJ4mN8sZHyD0Q9+9fUFAGBr3jbw54XuYrbWtVhs5pU8xEdWO5c4zwD3FZP8AwtzwF/0Mlt/3w/8A8TWH8T49efWLI6TFrjxfZ/nOnWMM67tx6l+QfYVwjx+MY42keHxcqKCWJ0i14A/GgD1f/hbngL/oZLb/AL4f/wCJrta+X9bvbu68E6z52pzX9pdaLa38P2i2iieJjfLGR8g9EPfvX1BQBga9428OeF7mK21rVYbOaVPMRHVjuXOM8A9xWT/wtzwF/wBDJbf98P8A/E1h/E+PXn1iyOkxa48X2f5zp1jDOu7cepfkH2FcI8fjGONpHh8XKiglidIteAPxoA9X/wCFueAv+hktv++H/wDia7Wvl/W727uvBOs+dqc1/aXWi2t/D9otooniY3yxkfIPRD3719QUAYGveNvDnhe5itta1WGzmlTzER1Y7lzjPAPcVk/8Lc8Bf9DJbf8AfD//ABNYfxPj159YsjpMWuPF9n+c6dYwzru3HqX5B9hXCPH4xjjaR4fFyooJYnSLXgD8aAPV/wDhbngL/oZLb/vh/wD4mu1r5f1u9u7rwTrPnanNf2l1otrfw/aLaKJ4mN8sZHyD0Q9+9fUFAGBr3jbw54XuYrbWtVhs5pU8xEdWO5c4zwD3FZP/AAtzwF/0Mlt/3w//AMTWH8T49efWLI6TFrjxfZ/nOnWMM67tx6l+QfYVwjx+MY42keHxcqKCWJ0i14A/GgD1f/hbngL/AKGS2/74f/4mu1r5f1u9u7rwTrPnanNf2l1otrfw/aLaKJ4mN8sZHyD0Q9+9fUFAGBr3jbw54XuYrbWtVhs5pU8xEdWO5c4zwD3FZP8AwtzwF/0Mlt/3w/8A8TWH8T49efWLI6TFrjxfZ/nOnWMM67tx6l+QfYVwjx+MY42keHxcqKCWJ0i14A/GgD1f/hbngL/oZLb/AL4f/wCJrta+X9bvbu68E6z52pzX9pdaLa38P2i2iieJjfLGR8g9EPfvX1BQBga9428OeF7mK21rVYbOaVPMRHVjuXOM8A9xWT/wtzwF/wBDJbf98P8A/E1h/E+PXn1iyOkxa48X2f5zp1jDOu7cepfkH2FcI8fjGONpHh8XKiglidIteAPxoA9X/wCFueAv+hktv++H/wDia7Wvl/W727uvBOs+dqc1/aXWi2t/D9otooniY3yxkfIPRD3719QUAeL0VgajYXE+qST6TrRgv0RfMtZGEkTL23J1XPqKpy2niLU0Y6tfwaTYoP3gs3+eQDqd5+6P8mvz2OHjJJ86X33+7r8vwPupV5Jtcrf3W+/p8/xOrorlIrTxFpiKdJv4NWsXH7sXj/PGD0O8feH+RVzTrC4g1SOfVtaM9+6N5drGwjiVe+1OrY9TRLDxim+dP77/AHdPn+IRrybS5Wvut9/X5fgb9FYGo2FxPqkk+k60YL9EXzLWRhJEy9tydVz6iqctp4i1NGOrX8Gk2KD94LN/nkA6nefuj/Jojh4ySfOl99/u6/L8AlXkm1yt/db7+nz/ABOrorlIrTxFpiKdJv4NWsXH7sXj/PGD0O8feH+RVzTrC4g1SOfVtaM9+6N5drGwjiVe+1OrY9TRLDxim+dP77/d0+f4hGvJtLla+6339fl+Bv0VgajYXE+qST6TrRgv0RfMtZGEkTL23J1XPqKpy2niLU0Y6tfwaTYoP3gs3+eQDqd5+6P8miOHjJJ86X33+7r8vwCVeSbXK391vv6fP8Tq6K5SK08RaYinSb+DVrFx+7F4/wA8YPQ7x94f5FXNOsLiDVI59W1oz37o3l2sbCOJV77U6tj1NEsPGKb50/vv93T5/iEa8m0uVr7rff1+X4G/RWBqNhcT6pJPpOtGC/RF8y1kYSRMvbcnVc+oqnLaeItTRjq1/BpNig/eCzf55AOp3n7o/wAmiOHjJJ86X33+7r8vwCVeSbXK391vv6fP8Tq6K5SK08RaYinSb+DVrFx+7F4/zxg9DvH3h/kVc06wuINUjn1bWjPfujeXaxsI4lXvtTq2PU0Sw8YpvnT++/3dPn+IRrybS5Wvut9/X5fgb9FYGo2FxPqkk+k60YL9EXzLWRhJEy9tydVz6iqctp4i1NGOrX8Gk2KD94LN/nkA6nefuj/Jojh4ySfOl99/u6/L8AlXkm1yt/db7+nz/E6uiuUitPEWmIp0m/g1axcfuxeP88YPQ7x94f5FXNOsLiDVI59W1oz37o3l2sbCOJV77U6tj1NEsPGKb50/vv8Ad0+f4hGvJtLla+6339fl+B6X441DxJBPJHFq+l+G9ARB5urXDiSdyRysaHAB7c89x6Vxvh3VpTdN/wAIL46l1S4J3S6R4kLBrnvvicgMMjJAGRzziug8XafBd+NzLp/hG41vWo4U23OpOV060HZhu4ZuhIUZ46g5rE1eLVNSsjL4m0XSfGOlIxBvvDzYurFh1VQDlgpzwDnjLelfoR8KReItWlF0v/CdeOpdLuAd0WkeGyxa2775XALHAwSDgccZrsvA+oeJJ5445dX0vxJoDofK1a3cRzoQOFkQZBPbjnufSuS0iLVNNshL4Z0XSfB2lOwAvvELZur5j0VgTlQxxwTnnK+lbfhHT4LTxuJdQ8I3Gia1JC+6501y2nXY7sdvCt1IDDPPUnFAHX69428OeF7mK21rVYbOaVPMRHVjuXOM8A9xWT/wtzwF/wBDJbf98P8A/E1h/E+PXn1iyOkxa48X2f5zp1jDOu7cepfkH2FcI8fjGONpHh8XKiglidIteAPxoA9X/wCFueAv+hktv++H/wDia7Wvl/W727uvBOs+dqc1/aXWi2t/D9otooniY3yxkfIPRD3719QUAYGveNvDnhe5itta1WGzmlTzER1Y7lzjPAPcVk/8Lc8Bf9DJbf8AfD//ABNYfxPj159YsjpMWuPF9n+c6dYwzru3HqX5B9hXCPH4xjjaR4fFyooJYnSLXgD8aAPV/wDhbngL/oZLb/vh/wD4mu1r5f1u9u7rwTrPnanNf2l1otrfw/aLaKJ4mN8sZHyD0Q9+9fUFAGBr3jbw54XuYrbWtVhs5pU8xEdWO5c4zwD3FZP/AAtzwF/0Mlt/3w//AMTWH8T49efWLI6TFrjxfZ/nOnWMM67tx6l+QfYVwjx+MY42keHxcqKCWJ0i14A/GgD1f/hbngL/AKGS2/74f/4mu1r5f1u9u7rwTrPnanNf2l1otrfw/aLaKJ4mN8sZHyD0Q9+9fUFAGBr3jbw54XuYrbWtVhs5pU8xEdWO5c4zwD3FZP8AwtzwF/0Mlt/3w/8A8TWH8T49efWLI6TFrjxfZ/nOnWMM67tx6l+QfYVwjx+MY42keHxcqKCWJ0i14A/GgD1f/hbngL/oZLb/AL4f/wCJrta+X9bvbu68E6z52pzX9pdaLa38P2i2iieJjfLGR8g9EPfvX1BQBga9428OeF7mK21rVYbOaVPMRHVjuXOM8A9xWT/wtzwF/wBDJbf98P8A/E1h/E+PXn1iyOkxa48X2f5zp1jDOu7cepfkH2FcI8fjGONpHh8XKiglidIteAPxoA9X/wCFueAv+hktv++H/wDia7Wvl/W727uvBOs+dqc1/aXWi2t/D9otooniY3yxkfIPRD3719QUAYGveNvDnhe5itta1WGzmlTzER1Y7lzjPAPcVk/8Lc8Bf9DJbf8AfD//ABNYfxPj159YsjpMWuPF9n+c6dYwzru3HqX5B9hXCPH4xjjaR4fFyooJYnSLXgD8aAPV/wDhbngL/oZLb/vh/wD4mu1r5f1u9u7rwTrPnanNf2l1otrfw/aLaKJ4mN8sZHyD0Q9+9fUFAGBr3jbw54XuYrbWtVhs5pU8xEdWO5c4zwD3FZP/AAtzwF/0Mlt/3w//AMTWH8T49efWLI6TFrjxfZ/nOnWMM67tx6l+QfYVwjx+MY42keHxcqKCWJ0i14A/GgD1f/hbngL/AKGS2/74f/4mu1r5f1u9u7rwTrPnanNf2l1otrfw/aLaKJ4mN8sZHyD0Q9+9fUFAHB+ONQ8SQTyRxavpfhvQEQebq1w4knckcrGhwAe3PPcelcb4d1aU3Tf8IL46l1S4J3S6R4kLBrnvvicgMMjJAGRzziug8XafBd+NzLp/hG41vWo4U23OpOV060HZhu4ZuhIUZ46g5rE1eLVNSsjL4m0XSfGOlIxBvvDzYurFh1VQDlgpzwDnjLelAEXiLVpRdL/wnXjqXS7gHdFpHhssWtu++VwCxwMEg4HHGa7LwPqHiSeeOOXV9L8SaA6HytWt3Ec6EDhZEGQT2457n0rktIi1TTbIS+GdF0nwdpTsAL7xC2bq+Y9FYE5UMccE55yvpW34R0+C08biXUPCNxomtSQvuudNctp12O7HbwrdSAwzz1JxQBi0VgajYXE+qST6TrRgv0RfMtZGEkTL23J1XPqKpy2niLU0Y6tfwaTYoP3gs3+eQDqd5+6P8mvz2OHjJJ86X33+7r8vwPupV5Jtcrf3W+/p8/xOrorlIrTxFpiKdJv4NWsXH7sXj/PGD0O8feH+RVzTrC4g1SOfVtaM9+6N5drGwjiVe+1OrY9TRLDxim+dP77/AHdPn+IRrybS5Wvut9/X5fgb9FYGo2FxPqkk+k60YL9EXzLWRhJEy9tydVz6iqctp4i1NGOrX8Gk2KD94LN/nkA6nefuj/Jojh4ySfOl99/u6/L8AlXkm1yt/db7+nz/ABOrorlIrTxFpiKdJv4NWsXH7sXj/PGD0O8feH+RVzTrC4g1SOfVtaM9+6N5drGwjiVe+1OrY9TRLDxim+dP77/d0+f4hGvJtLla+6339fl+Bv0VgajYXE+qST6TrRgv0RfMtZGEkTL23J1XPqKpy2niLU0Y6tfwaTYoP3gs3+eQDqd5+6P8miOHjJJ86X33+7r8vwCVeSbXK391vv6fP8Tq6K5SK08RaYinSb+DVrFx+7F4/wA8YPQ7x94f5FXNOsLiDVI59W1oz37o3l2sbCOJV77U6tj1NEsPGKb50/vv93T5/iEa8m0uVr7rff1+X4G/RWBqNhcT6pJPpOtGC/RF8y1kYSRMvbcnVc+oqnLaeItTRjq1/BpNig/eCzf55AOp3n7o/wAmiOHjJJ86X33+7r8vwCVeSbXK391vv6fP8Tq6K5SK08RaYinSb+DVrFx+7F4/zxg9DvH3h/kVc06wuINUjn1bWjPfujeXaxsI4lXvtTq2PU0Sw8YpvnT++/3dPn+IRrybS5Wvut9/X5fgZdFFFfoR8KFFFFABRRRQAUUUUAfTdVNU/wCQTe/9cH/9BNW6KAPlW9/5J3L/ANipaf8Ap0avqqiigAqpqn/IJvf+uD/+gmrdFAHyre/8k7l/7FS0/wDTo1fVVFFABVTVP+QTe/8AXB//AEE1booA+Vb3/kncv/YqWn/p0avqqiigAqpqn/IJvf8Arg//AKCat0UAfKt7/wAk7l/7FS0/9OjV9VUUUAFVNU/5BN7/ANcH/wDQTVuigD5Vvf8Akncv/YqWn/p0avqqiigAqpqn/IJvf+uD/wDoJq3RQB8q3v8AyTuX/sVLT/06NX1VRRQAVU1T/kE3v/XB/wD0E1booA+Vb3/kncv/AGKlp/6dGr6qoooA+a9ej8O3etJbXs0lhqgUNDeITET7B+h+h/Cq1/p+m6ckc/irXJdR2/6m3cbVb0/dr94+549a628sbXUbdre8t454j1WRcis7S/C2j6PKZrS0HndpJCXZR2AJ6DtxXwlPFRjBJylp00/B7x9NT7SphpSm2ktfX8VtL8DDsNP03UUkn8K65Lp27/XW6Dcq+v7tvun3HHpVnQY/DtprT21lNJf6oVLTXjkykexfoPoPxrT1Twto+sSia7tB53eSMlGYdwSOo7c1o2dja6dbrb2dvHBEOixrgUqmKjKDSlLX0/F7y/AKeGlGabS09fwW0fxOb16Pw7d60ltezSWGqBQ0N4hMRPsH6H6H8KrX+n6bpyRz+Ktcl1Hb/qbdxtVvT92v3j7nj1rrbyxtdRt2t7y3jniPVZFyKztL8LaPo8pmtLQed2kkJdlHYAnoO3FOnioxgk5S06afg94+moVMNKU20lr6/itpfgYdhp+m6ikk/hXXJdO3f663QblX1/dt90+449Ks6DH4dtNae2sppL/VCpaa8cmUj2L9B9B+NaeqeFtH1iUTXdoPO7yRkozDuCR1HbmtGzsbXTrdbezt44Ih0WNcClUxUZQaUpa+n4veX4BTw0ozTaWnr+C2j+JzevR+HbvWktr2aSw1QKGhvEJiJ9g/Q/Q/hVa/0/TdOSOfxVrkuo7f9TbuNqt6fu1+8fc8etdbeWNrqNu1veW8c8R6rIuRWdpfhbR9HlM1paDzu0khLso7AE9B24p08VGMEnKWnTT8HvH01CphpSm2ktfX8VtL8DDsNP03UUkn8K65Lp27/XW6Dcq+v7tvun3HHpVnQY/DtprT21lNJf6oVLTXjkykexfoPoPxrT1Twto+sSia7tB53eSMlGYdwSOo7c1o2dja6dbrb2dvHBEOixrgUqmKjKDSlLX0/F7y/AKeGlGabS09fwW0fxOb16Pw7d60ltezSWGqBQ0N4hMRPsH6H6H8KrX+n6bpyRz+Ktcl1Hb/AKm3cbVb0/dr94+549a628sbXUbdre8t454j1WRcis7S/C2j6PKZrS0HndpJCXZR2AJ6DtxTp4qMYJOUtOmn4PePpqFTDSlNtJa+v4raX4GHYafpuopJP4V1yXTt3+ut0G5V9f3bfdPuOPSrOgx+HbTWntrKaS/1QqWmvHJlI9i/QfQfjWnqnhbR9YlE13aDzu8kZKMw7gkdR25rRs7G1063W3s7eOCIdFjXApVMVGUGlKWvp+L3l+AU8NKM02lp6/gto/ic3r0fh271pLa9mksNUChobxCYifYP0P0P4VWv9P03Tkjn8Va5LqO3/U27jaren7tfvH3PHrXW3lja6jbtb3lvHPEeqyLkVnaX4W0fR5TNaWg87tJIS7KOwBPQduKdPFRjBJylp00/B7x9NQqYaUptpLX1/FbS/Aw7DT9N1FJJ/CuuS6du/wBdboNyr6/u2+6fccelWdBj8O2mtPbWU0l/qhUtNeOTKR7F+g+g/GtPVPC2j6xKJru0Hnd5IyUZh3BI6jtzWjZ2Nrp1utvZ28cEQ6LGuBSqYqMoNKUtfT8XvL8Ap4aUZptLT1/BbR/E2viPNpMuvLZa14g1O+hkRRD4X0iMiWdscmRlOSpznB29OM1zkltpWlXkFxPpWq/DbUZAq299A4ns5R/Cs2Plz3Ktj3NeheINJ8V6j4imj0IaXotpLEq3Gs+UJbuUf3FXAwB/tH3B7Vm3HgfxRoMMjeH/ABDJrMEo/wBK0vxCfOjuCfvFXxlSeeOmTzX3h8WcfHbaVqt5PcQaVqvxJ1GMMtxfXDiCziH8Sw5+XPcKufY10fw4m0mLXmstF8QanYwxowm8L6vGTLA2ODGzHIUYzgbuvOKu2/gfxRr0MbeIPEMmjQRD/RdL8PHyY7cj7pZ8ZYjjjpkcVpeH9J8V6d4ihj10aXrVpFEy2+s+UIruIf3GXByD/sn3J7UAdvVTVP8AkE3v/XB//QTVuigD5Vvf+Sdy/wDYqWn/AKdGr6qoooAKqap/yCb3/rg//oJq3RQB8q3v/JO5f+xUtP8A06NX1VRRQAVU1T/kE3v/AFwf/wBBNW6KAPlW9/5J3L/2Klp/6dGr6qoooAKqap/yCb3/AK4P/wCgmrdFAHyre/8AJO5f+xUtP/To1fVVFFABVTVP+QTe/wDXB/8A0E1booA+Vb3/AJJ3L/2Klp/6dGr6qoooAKqap/yCb3/rg/8A6Cat0UAfKt7/AMk7l/7FS0/9OjV9VUUUAFVNU/5BN7/1wf8A9BNW6KAPlW9/5J3L/wBipaf+nRq+qqKKAPKfiPNpMuvLZa14g1O+hkRRD4X0iMiWdscmRlOSpznB29OM1zkltpWlXkFxPpWq/DbUZAq299A4ns5R/Cs2Plz3Ktj3NeheINJ8V6j4imj0IaXotpLEq3Gs+UJbuUf3FXAwB/tH3B7Vm3HgfxRoMMjeH/EMmswSj/StL8Qnzo7gn7xV8ZUnnjpk80AcfHbaVqt5PcQaVqvxJ1GMMtxfXDiCziH8Sw5+XPcKufY10fw4m0mLXmstF8QanYwxowm8L6vGTLA2ODGzHIUYzgbuvOKu2/gfxRr0MbeIPEMmjQRD/RdL8PHyY7cj7pZ8ZYjjjpkcVpeH9J8V6d4ihj10aXrVpFEy2+s+UIruIf3GXByD/sn3J7UAeRa9H4du9aS2vZpLDVAoaG8QmIn2D9D9D+FVr/T9N05I5/FWuS6jt/1Nu42q3p+7X7x9zx611t5Y2uo27W95bxzxHqsi5FZ2l+FtH0eUzWloPO7SSEuyjsAT0HbivhKeKjGCTlLTpp+D3j6an2lTDSlNtJa+v4raX4GHYafpuopJP4V1yXTt3+ut0G5V9f3bfdPuOPSrOgx+HbTWntrKaS/1QqWmvHJlI9i/QfQfjWnqnhbR9YlE13aDzu8kZKMw7gkdR25rRs7G1063W3s7eOCIdFjXApVMVGUGlKWvp+L3l+AU8NKM02lp6/gto/ic3r0fh271pLa9mksNUChobxCYifYP0P0P4VWv9P03Tkjn8Va5LqO3/U27jaren7tfvH3PHrXW3lja6jbtb3lvHPEeqyLkVnaX4W0fR5TNaWg87tJIS7KOwBPQduKdPFRjBJylp00/B7x9NQqYaUptpLX1/FbS/Aw7DT9N1FJJ/CuuS6du/wBdboNyr6/u2+6fccelWdBj8O2mtPbWU0l/qhUtNeOTKR7F+g+g/GtPVPC2j6xKJru0Hnd5IyUZh3BI6jtzWjZ2Nrp1utvZ28cEQ6LGuBSqYqMoNKUtfT8XvL8Ap4aUZptLT1/BbR/E5vXo/Dt3rSW17NJYaoFDQ3iExE+wfofofwqtf6fpunJHP4q1yXUdv+pt3G1W9P3a/ePuePWutvLG11G3a3vLeOeI9VkXIrO0vwto+jyma0tB53aSQl2UdgCeg7cU6eKjGCTlLTpp+D3j6ahUw0pTbSWvr+K2l+Bh2Gn6bqKST+Fdcl07d/rrdBuVfX9233T7jj0qzoMfh201p7aymkv9UKlprxyZSPYv0H0H41p6p4W0fWJRNd2g87vJGSjMO4JHUdua0bOxtdOt1t7O3jgiHRY1wKVTFRlBpSlr6fi95fgFPDSjNNpaev4LaP4nN69H4du9aS2vZpLDVAoaG8QmIn2D9D9D+FVr/T9N05I5/FWuS6jt/wBTbuNqt6fu1+8fc8etdbeWNrqNu1veW8c8R6rIuRWdpfhbR9HlM1paDzu0khLso7AE9B24p08VGMEnKWnTT8HvH01CphpSm2ktfX8VtL8DDsNP03UUkn8K65Lp27/XW6Dcq+v7tvun3HHpVnQY/DtprT21lNJf6oVLTXjkykexfoPoPxrT1Twto+sSia7tB53eSMlGYdwSOo7c1o2dja6dbrb2dvHBEOixrgUqmKjKDSlLX0/F7y/AKeGlGabS09fwW0fxOUooor7w+LCiiigAooooAKKKKAPZNW8Qaxp3jw6FJPBFaaxYP/ZFw0fEV2gO5X/vAghvwAHesCH4j6tFoOh61erHHDZ3z6X4lgKANBJkKsuf4VDYJH+3jtV3xxcRa9440Lw+sixQaQ41zUrvODbpHnYu7sWOc9DjmuPuZLjVdB1Ke3gWPUfiFqCw2Vu6cRWcQx5zL67MsSP7ymgDq9Q8XeJ7S28UafEbeXWtHmW/t18ri708ndhR/eADKSM8gDqc1paf44ln8Z6XFJLG+geILBZtLl2gFJ1GXjY+pBzz3AA71yUur22m67q3iaIs+leE9OGh2RY5a+ujgFWPVgDtBHr8w71FpPh2cT+DPAu4i402T+3tVlTj7M24lIUI4XLMQQMcDPegDt9W8Qaxp3jw6FJPBFaaxYP/AGRcNHxFdoDuV/7wIIb8AB3rAh+I+rRaDoetXqxxw2d8+l+JYCgDQSZCrLn+FQ2CR/t47Vd8cXEWveONC8PrIsUGkONc1K7zg26R52Lu7FjnPQ45rj7mS41XQdSnt4Fj1H4hagsNlbunEVnEMecy+uzLEj+8poA6vUPF3ie0tvFGnxG3l1rR5lv7dfK4u9PJ3YUf3gAykjPIA6nNaWn+OJZ/GelxSSxvoHiCwWbS5doBSdRl42PqQc89wAO9clLq9tpuu6t4miLPpXhPThodkWOWvro4BVj1YA7QR6/MO9RaT4dnE/gzwLuIuNNk/t7VZU4+zNuJSFCOFyzEEDHAz3oA7fVvEGsad48OhSTwRWmsWD/2RcNHxFdoDuV/7wIIb8AB3rAh+I+rRaDoetXqxxw2d8+l+JYCgDQSZCrLn+FQ2CR/t47Vd8cXEWveONC8PrIsUGkONc1K7zg26R52Lu7FjnPQ45rj7mS41XQdSnt4Fj1H4hagsNlbunEVnEMecy+uzLEj+8poA6vUPF3ie0tvFGnxG3l1rR5lv7dfK4u9PJ3YUf3gAykjPIA6nNaWn+OJZ/GelxSSxvoHiCwWbS5doBSdRl42PqQc89wAO9clLq9tpuu6t4miLPpXhPThodkWOWvro4BVj1YA7QR6/MO9RaT4dnE/gzwLuIuNNk/t7VZU4+zNuJSFCOFyzEEDHAz3oA7fVvEGsad48OhSTwRWmsWD/wBkXDR8RXaA7lf+8CCG/AAd6wIfiPq0Wg6HrV6sccNnfPpfiWAoA0EmQqy5/hUNgkf7eO1XfHFxFr3jjQvD6yLFBpDjXNSu84Nukedi7uxY5z0OOa4+5kuNV0HUp7eBY9R+IWoLDZW7pxFZxDHnMvrsyxI/vKaAOr1Dxd4ntLbxRp8Rt5da0eZb+3XyuLvTyd2FH94AMpIzyAOpzWlp/jiWfxnpcUksb6B4gsFm0uXaAUnUZeNj6kHPPcADvXJS6vbabrureJoiz6V4T04aHZFjlr66OAVY9WAO0EevzDvUWk+HZxP4M8C7iLjTZP7e1WVOPszbiUhQjhcsxBAxwM96AO31bxBrGnePDoUk8EVprFg/9kXDR8RXaA7lf+8CCG/AAd6wIfiPq0Wg6HrV6sccNnfPpfiWAoA0EmQqy5/hUNgkf7eO1XfHFxFr3jjQvD6yLFBpDjXNSu84Nukedi7uxY5z0OOa4+5kuNV0HUp7eBY9R+IWoLDZW7pxFZxDHnMvrsyxI/vKaAOr1Dxd4ntLbxRp8Rt5da0eZb+3XyuLvTyd2FH94AMpIzyAOpzWlp/jiWfxnpcUksb6B4gsFm0uXaAUnUZeNj6kHPPcADvXJS6vbabrureJoiz6V4T04aHZFjlr66OAVY9WAO0EevzDvUWk+HZxP4M8C7iLjTZP7e1WVOPszbiUhQjhcsxBAxwM96AO31bxBrGnePDoUk8EVprFg/8AZFw0fEV2gO5X/vAghvwAHesCH4j6tFoOh61erHHDZ3z6X4lgKANBJkKsuf4VDYJH+3jtV3xxcRa9440Lw+sixQaQ41zUrvODbpHnYu7sWOc9DjmuPuZLjVdB1Ke3gWPUfiFqCw2Vu6cRWcQx5zL67MsSP7ymgDq9Q8XeJ7S28UafEbeXWtHmW/t18ri708ndhR/eADKSM8gDqc1paf44ln8Z6XFJLG+geILBZtLl2gFJ1GXjY+pBzz3AA71yUur22m67q3iaIs+leE9OGh2RY5a+ujgFWPVgDtBHr8w71FpPh2cT+DPAu4i402T+3tVlTj7M24lIUI4XLMQQMcDPegDt9W8Qaxp3jw6FJPBFaaxYP/ZFw0fEV2gO5X/vAghvwAHesCH4j6tFoOh61erHHDZ3z6X4lgKANBJkKsuf4VDYJH+3jtV3xxcRa9440Lw+sixQaQ41zUrvODbpHnYu7sWOc9DjmuPuZLjVdB1Ke3gWPUfiFqCw2Vu6cRWcQx5zL67MsSP7ymgDq9Q8XeJ7S28UafEbeXWtHmW/t18ri708ndhR/eADKSM8gDqc1paf44ln8Z6XFJLG+geILBZtLl2gFJ1GXjY+pBzz3AA71yUur22m67q3iaIs+leE9OGh2RY5a+ujgFWPVgDtBHr8w71FpPh2cT+DPAu4i402T+3tVlTj7M24lIUI4XLMQQMcDPegDt9W8Qaxp3jw6FJPBFaaxYP/AGRcNHxFdoDuV/7wIIb8AB3rAh+I+rRaDoetXqxxw2d8+l+JYCgDQSZCrLn+FQ2CR/t47Vd8cXEWveONC8PrIsUGkONc1K7zg26R52Lu7FjnPQ45rj7mS41XQdSnt4Fj1H4hagsNlbunEVnEMecy+uzLEj+8poA6vUPF3ie0tvFGnxG3l1rR5lv7dfK4u9PJ3YUf3gAykjPIA6nNaWn+OJZ/GelxSSxvoHiCwWbS5doBSdRl42PqQc89wAO9clLq9tpuu6t4miLPpXhPThodkWOWvro4BVj1YA7QR6/MO9RaT4dnE/gzwLuIuNNk/t7VZU4+zNuJSFCOFyzEEDHAz3oA7fVvEGsad48OhSTwRWmsWD/2RcNHxFdoDuV/7wIIb8AB3rAh+I+rRaDoetXqxxw2d8+l+JYCgDQSZCrLn+FQ2CR/t47Vd8cXEWveONC8PrIsUGkONc1K7zg26R52Lu7FjnPQ45rj7mS41XQdSnt4Fj1H4hagsNlbunEVnEMecy+uzLEj+8poA6vUPF3ie0tvFGnxG3l1rR5lv7dfK4u9PJ3YUf3gAykjPIA6nNaWn+OJZ/GelxSSxvoHiCwWbS5doBSdRl42PqQc89wAO9clLq9tpuu6t4miLPpXhPThodkWOWvro4BVj1YA7QR6/MO9RaT4dnE/gzwLuIuNNk/t7VZU4+zNuJSFCOFyzEEDHAz3oA7fVvEGsad48OhSTwRWmsWD/wBkXDR8RXaA7lf+8CCG/AAd6wIfiPq0Wg6HrV6sccNnfPpfiWAoA0EmQqy5/hUNgkf7eO1XfHFxFr3jjQvD6yLFBpDjXNSu84Nukedi7uxY5z0OOa4+5kuNV0HUp7eBY9R+IWoLDZW7pxFZxDHnMvrsyxI/vKaAOr1Dxd4ntLbxRp8Rt5da0eZb+3XyuLvTyd2FH94AMpIzyAOpzWlp/jiWfxnpcUksb6B4gsFm0uXaAUnUZeNj6kHPPcADvXJS6vbabrureJoiz6V4T04aHZFjlr66OAVY9WAO0EevzDvUWk+HZxP4M8C7iLjTZP7e1WVOPszbiUhQjhcsxBAxwM96AO31bxBrGnePDoUk8EVprFg/9kXDR8RXaA7lf+8CCG/AAd6wIfiPq0Wg6HrV6sccNnfPpfiWAoA0EmQqy5/hUNgkf7eO1XfHFxFr3jjQvD6yLFBpDjXNSu84Nukedi7uxY5z0OOa4+5kuNV0HUp7eBY9R+IWoLDZW7pxFZxDHnMvrsyxI/vKaAOr1Dxd4ntLbxRp8Rt5da0eZb+3XyuLvTyd2FH94AMpIzyAOpzWlp/jiWfxnpcUksb6B4gsFm0uXaAUnUZeNj6kHPPcADvXJS6vbabrureJoiz6V4T04aHZFjlr66OAVY9WAO0EevzDvUWk+HZxP4M8C7iLjTZP7e1WVOPszbiUhQjhcsxBAxwM96AO31bxBrGnePDoUk8EVprFg/8AZFw0fEV2gO5X/vAghvwAHesCH4j6tFoOh61erHHDZ3z6X4lgKANBJkKsuf4VDYJH+3jtV3xxcRa9440Lw+sixQaQ41zUrvODbpHnYu7sWOc9DjmuPuZLjVdB1Ke3gWPUfiFqCw2Vu6cRWcQx5zL67MsSP7ymgDq9Q8XeJ7S28UafEbeXWtHmW/t18ri708ndhR/eADKSM8gDqc1paf44ln8Z6XFJLG+geILBZtLl2gFJ1GXjY+pBzz3AA71yUur22m67q3iaIs+leE9OGh2RY5a+ujgFWPVgDtBHr8w71FpPh2cT+DPAu4i402T+3tVlTj7M24lIUI4XLMQQMcDPegDt9W8Qaxp3jw6FJPBFaaxYP/ZFw0fEV2gO5X/vAghvwAHesCH4j6tFoOh61erHHDZ3z6X4lgKANBJkKsuf4VDYJH+3jtV3xxcRa9440Lw+sixQaQ41zUrvODbpHnYu7sWOc9DjmuPuZLjVdB1Ke3gWPUfiFqCw2Vu6cRWcQx5zL67MsSP7ymgDq9Q8XeJ7S28UafEbeXWtHmW/t18ri708ndhR/eADKSM8gDqc1paf44ln8Z6XFJLG+geILBZtLl2gFJ1GXjY+pBzz3AA71yUur22m67q3iaIs+leE9OGh2RY5a+ujgFWPVgDtBHr8w71FpPh2cT+DPAu4i402T+3tVlTj7M24lIUI4XLMQQMcDPegDt9W8Qaxp3jw6FJPBFaaxYP/AGRcNHxFdoDuV/7wIIb8AB3rAh+I+rRaDoetXqxxw2d8+l+JYCgDQSZCrLn+FQ2CR/t47Vd8cXEWveONC8PrIsUGkONc1K7zg26R52Lu7FjnPQ45rj7mS41XQdSnt4Fj1H4hagsNlbunEVnEMecy+uzLEj+8poA6vUPF3ie0tvFGnxG3l1rR5lv7dfK4u9PJ3YUf3gAykjPIA6nNaWn+OJZ/GelxSSxvoHiCwWbS5doBSdRl42PqQc89wAO9clLq9tpuu6t4miLPpXhPThodkWOWvro4BVj1YA7QR6/MO9RaT4dnE/gzwLuIuNNk/t7VZU4+zNuJSFCOFyzEEDHAz3oA7fVvEGsad48OhSTwRWmsWD/2RcNHxFdoDuV/7wIIb8AB3rAh+I+rRaDoetXqxxw2d8+l+JYCgDQSZCrLn+FQ2CR/t47Vd8cXEWveONC8PrIsUGkONc1K7zg26R52Lu7FjnPQ45rj7mS41XQdSnt4Fj1H4hagsNlbunEVnEMecy+uzLEj+8poA6vUPF3ie0tvFGnxG3l1rR5lv7dfK4u9PJ3YUf3gAykjPIA6nNaWn+OJZ/GelxSSxvoHiCwWbS5doBSdRl42PqQc89wAO9clLq9tpuu6t4miLPpXhPThodkWOWvro4BVj1YA7QR6/MO9RaT4dnE/gzwLuIuNNk/t7VZU4+zNuJSFCOFyzEEDHAz3oA9P17xt4c8L3MVtrWqw2c0qeYiOrHcucZ4B7isn/hbngL/oZLb/AL4f/wCJrD+J8evPrFkdJi1x4vs/znTrGGdd249S/IPsK4R4/GMcbSPD4uVFBLE6Ra8AfjQB6v8A8Lc8Bf8AQyW3/fD/APxNdrXy/rd7d3XgnWfO1Oa/tLrRbW/h+0W0UTxMb5YyPkHoh796+oKAMDXvG3hzwvcxW2tarDZzSp5iI6sdy5xngHuKyf8AhbngL/oZLb/vh/8A4msP4nx68+sWR0mLXHi+z/OdOsYZ13bj1L8g+wrhHj8YxxtI8Pi5UUEsTpFrwB+NAHq//C3PAX/QyW3/AHw//wATXa18v63e3d14J1nztTmv7S60W1v4ftFtFE8TG+WMj5B6Ie/evqCgDA17xt4c8L3MVtrWqw2c0qeYiOrHcucZ4B7isn/hbngL/oZLb/vh/wD4msP4nx68+sWR0mLXHi+z/OdOsYZ13bj1L8g+wrhHj8YxxtI8Pi5UUEsTpFrwB+NAHq//AAtzwF/0Mlt/3w//AMTXa18v63e3d14J1nztTmv7S60W1v4ftFtFE8TG+WMj5B6Ie/evqCgDA17xt4c8L3MVtrWqw2c0qeYiOrHcucZ4B7isn/hbngL/AKGS2/74f/4msP4nx68+sWR0mLXHi+z/ADnTrGGdd249S/IPsK4R4/GMcbSPD4uVFBLE6Ra8AfjQB6v/AMLc8Bf9DJbf98P/APE12tfL+t3t3deCdZ87U5r+0utFtb+H7RbRRPExvljI+QeiHv3r6goAwNe8beHPC9zFba1qsNnNKnmIjqx3LnGeAe4rJ/4W54C/6GS2/wC+H/8Aiaw/ifHrz6xZHSYtceL7P8506xhnXduPUvyD7CuEePxjHG0jw+LlRQSxOkWvAH40Aer/APC3PAX/AEMlt/3w/wD8TXa18v63e3d14J1nztTmv7S60W1v4ftFtFE8TG+WMj5B6Ie/evqCgDg/HGoeJIJ5I4tX0vw3oCIPN1a4cSTuSOVjQ4APbnnuPSuN8O6tKbpv+EF8dS6pcE7pdI8SFg1z33xOQGGRkgDI55xXQeLtPgu/G5l0/wAI3Gt61HCm251JyunWg7MN3DN0JCjPHUHNYmrxapqVkZfE2i6T4x0pGIN94ebF1YsOqqAcsFOeAc8Zb0oAi8RatKLpf+E68dS6XcA7otI8Nli1t33yuAWOBgkHA44zXZeB9Q8STzxxy6vpfiTQHQ+Vq1u4jnQgcLIgyCe3HPc+lclpEWqabZCXwzouk+DtKdgBfeIWzdXzHorAnKhjjgnPOV9K2/COnwWnjcS6h4RuNE1qSF91zprltOux3Y7eFbqQGGeepOKAMWisDUbC4n1SSfSdaMF+iL5lrIwkiZe25Oq59RVOW08RamjHVr+DSbFB+8Fm/wA8gHU7z90f5NfnscPGST50vvv93X5fgfdSryTa5W/ut9/T5/idXRXKRWniLTEU6TfwatYuP3YvH+eMHod4+8P8irmnWFxBqkc+ra0Z790by7WNhHEq99qdWx6miWHjFN86f33+7p8/xCNeTaXK191vv6/L8DforA1GwuJ9Ukn0nWjBfoi+ZayMJImXtuTqufUVTltPEWpox1a/g0mxQfvBZv8APIB1O8/dH+TRHDxkk+dL77/d1+X4BKvJNrlb+6339Pn+J1dFcpFaeItMRTpN/Bq1i4/di8f54weh3j7w/wAirmnWFxBqkc+ra0Z790by7WNhHEq99qdWx6miWHjFN86f33+7p8/xCNeTaXK191vv6/L8DforA1GwuJ9Ukn0nWjBfoi+ZayMJImXtuTqufUVTltPEWpox1a/g0mxQfvBZv88gHU7z90f5NEcPGST50vvv93X5fgEq8k2uVv7rff0+f4nV0VykVp4i0xFOk38GrWLj92Lx/njB6HePvD/Iq5p1hcQapHPq2tGe/dG8u1jYRxKvfanVsepolh4xTfOn99/u6fP8QjXk2lytfdb7+vy/A36KwNRsLifVJJ9J1owX6IvmWsjCSJl7bk6rn1FU5bTxFqaMdWv4NJsUH7wWb/PIB1O8/dH+TRHDxkk+dL77/d1+X4BKvJNrlb+6339Pn+J1dFcpFaeItMRTpN/Bq1i4/di8f54weh3j7w/yKuadYXEGqRz6trRnv3RvLtY2EcSr32p1bHqaJYeMU3zp/ff7unz/ABCNeTaXK191vv6/L8DLooor9CPhQooooAKKKKACiiigD1LxxbxaD440LxAsaywau40PUrTGTcJJnY23uVOc9TjiuPuY7jStB1KC3nWTUfh7qCzWVw78S2coz5LN67MqQP7qivQtW8P6xqPjw67JBBLaaPYP/ZFu0nEt24O5n/ugABfxBHesCH4catLoOh6LetHJDeXz6p4lnLgtPJkMsWP4lLYBP+xnvQBmS6RbalrureGYgyaV4s04a5ZBhhrG6GCWYdVBO0k+vyjvUWk+IpzP4M8dbSbjUpP7B1WJOftLbiEmQDhsMpJIzwcdq6DUPCPie7tvFGoRC3i1rWJlsLdvN4tNPB25U/3iCzEDHJB6jFaWn+B5YPGelyyRRpoHh+wWHS4twJedhh5GHqAMc9yCO9AFLxxbxaD440LxAsaywau40PUrTGTcJJnY23uVOc9TjiuPuY7jStB1KC3nWTUfh7qCzWVw78S2coz5LN67MqQP7qivQtW8P6xqPjw67JBBLaaPYP8A2RbtJxLduDuZ/wC6AAF/EEd6wIfhxq0ug6Hot60ckN5fPqniWcuC08mQyxY/iUtgE/7Ge9AGZLpFtqWu6t4ZiDJpXizThrlkGGGsboYJZh1UE7ST6/KO9RaT4inM/gzx1tJuNSk/sHVYk5+0tuISZAOGwykkjPBx2roNQ8I+J7u28UahELeLWtYmWwt283i008HblT/eILMQMckHqMVpaf4Hlg8Z6XLJFGmgeH7BYdLi3Al52GHkYeoAxz3II70AUvHFvFoPjjQvECxrLBq7jQ9StMZNwkmdjbe5U5z1OOK4+5juNK0HUoLedZNR+HuoLNZXDvxLZyjPks3rsypA/uqK9C1bw/rGo+PDrskEEtpo9g/9kW7ScS3bg7mf+6AAF/EEd6wIfhxq0ug6Hot60ckN5fPqniWcuC08mQyxY/iUtgE/7Ge9AGZLpFtqWu6t4ZiDJpXizThrlkGGGsboYJZh1UE7ST6/KO9RaT4inM/gzx1tJuNSk/sHVYk5+0tuISZAOGwykkjPBx2roNQ8I+J7u28UahELeLWtYmWwt283i008HblT/eILMQMckHqMVpaf4Hlg8Z6XLJFGmgeH7BYdLi3Al52GHkYeoAxz3II70AUvHFvFoPjjQvECxrLBq7jQ9StMZNwkmdjbe5U5z1OOK4+5juNK0HUoLedZNR+HuoLNZXDvxLZyjPks3rsypA/uqK9C1bw/rGo+PDrskEEtpo9g/wDZFu0nEt24O5n/ALoAAX8QR3rAh+HGrS6Doei3rRyQ3l8+qeJZy4LTyZDLFj+JS2AT/sZ70AZkukW2pa7q3hmIMmleLNOGuWQYYaxuhglmHVQTtJPr8o71FpPiKcz+DPHW0m41KT+wdViTn7S24hJkA4bDKSSM8HHaug1Dwj4nu7bxRqEQt4ta1iZbC3bzeLTTwduVP94gsxAxyQeoxWlp/geWDxnpcskUaaB4fsFh0uLcCXnYYeRh6gDHPcgjvQBS8cW8Wg+ONC8QLGssGruND1K0xk3CSZ2Nt7lTnPU44rj7mO40rQdSgt51k1H4e6gs1lcO/EtnKM+SzeuzKkD+6or0LVvD+saj48OuyQQS2mj2D/2RbtJxLduDuZ/7oAAX8QR3rAh+HGrS6Doei3rRyQ3l8+qeJZy4LTyZDLFj+JS2AT/sZ70AZkukW2pa7q3hmIMmleLNOGuWQYYaxuhglmHVQTtJPr8o71FpPiKcz+DPHW0m41KT+wdViTn7S24hJkA4bDKSSM8HHaug1Dwj4nu7bxRqEQt4ta1iZbC3bzeLTTwduVP94gsxAxyQeoxWlp/geWDxnpcskUaaB4fsFh0uLcCXnYYeRh6gDHPcgjvQBS8cW8Wg+ONC8QLGssGruND1K0xk3CSZ2Nt7lTnPU44rj7mO40rQdSgt51k1H4e6gs1lcO/EtnKM+SzeuzKkD+6or0LVvD+saj48OuyQQS2mj2D/ANkW7ScS3bg7mf8AugABfxBHesCH4catLoOh6LetHJDeXz6p4lnLgtPJkMsWP4lLYBP+xnvQBmS6RbalrureGYgyaV4s04a5ZBhhrG6GCWYdVBO0k+vyjvUWk+IpzP4M8dbSbjUpP7B1WJOftLbiEmQDhsMpJIzwcdq6DUPCPie7tvFGoRC3i1rWJlsLdvN4tNPB25U/3iCzEDHJB6jFaWn+B5YPGelyyRRpoHh+wWHS4twJedhh5GHqAMc9yCO9AFLxxbxaD440LxAsaywau40PUrTGTcJJnY23uVOc9TjiuPuY7jStB1KC3nWTUfh7qCzWVw78S2coz5LN67MqQP7qivQtW8P6xqPjw67JBBLaaPYP/ZFu0nEt24O5n/ugABfxBHesCH4catLoOh6LetHJDeXz6p4lnLgtPJkMsWP4lLYBP+xnvQBmS6RbalrureGYgyaV4s04a5ZBhhrG6GCWYdVBO0k+vyjvUWk+IpzP4M8dbSbjUpP7B1WJOftLbiEmQDhsMpJIzwcdq6DUPCPie7tvFGoRC3i1rWJlsLdvN4tNPB25U/3iCzEDHJB6jFaWn+B5YPGelyyRRpoHh+wWHS4twJedhh5GHqAMc9yCO9AFLxxbxaD440LxAsaywau40PUrTGTcJJnY23uVOc9TjiuPuY7jStB1KC3nWTUfh7qCzWVw78S2coz5LN67MqQP7qivQtW8P6xqPjw67JBBLaaPYP8A2RbtJxLduDuZ/wC6AAF/EEd6wIfhxq0ug6Hot60ckN5fPqniWcuC08mQyxY/iUtgE/7Ge9AGZLpFtqWu6t4ZiDJpXizThrlkGGGsboYJZh1UE7ST6/KO9RaT4inM/gzx1tJuNSk/sHVYk5+0tuISZAOGwykkjPBx2roNQ8I+J7u28UahELeLWtYmWwt283i008HblT/eILMQMckHqMVpaf4Hlg8Z6XLJFGmgeH7BYdLi3Al52GHkYeoAxz3II70AUvHFvFoPjjQvECxrLBq7jQ9StMZNwkmdjbe5U5z1OOK4+5juNK0HUoLedZNR+HuoLNZXDvxLZyjPks3rsypA/uqK9C1bw/rGo+PDrskEEtpo9g/9kW7ScS3bg7mf+6AAF/EEd6wIfhxq0ug6Hot60ckN5fPqniWcuC08mQyxY/iUtgE/7Ge9AGZLpFtqWu6t4ZiDJpXizThrlkGGGsboYJZh1UE7ST6/KO9RaT4inM/gzx1tJuNSk/sHVYk5+0tuISZAOGwykkjPBx2roNQ8I+J7u28UahELeLWtYmWwt283i008HblT/eILMQMckHqMVpaf4Hlg8Z6XLJFGmgeH7BYdLi3Al52GHkYeoAxz3II70AUvHFvFoPjjQvECxrLBq7jQ9StMZNwkmdjbe5U5z1OOK4+5juNK0HUoLedZNR+HuoLNZXDvxLZyjPks3rsypA/uqK9C1bw/rGo+PDrskEEtpo9g/wDZFu0nEt24O5n/ALoAAX8QR3rAh+HGrS6Doei3rRyQ3l8+qeJZy4LTyZDLFj+JS2AT/sZ70AZkukW2pa7q3hmIMmleLNOGuWQYYaxuhglmHVQTtJPr8o71FpPiKcz+DPHW0m41KT+wdViTn7S24hJkA4bDKSSM8HHaug1Dwj4nu7bxRqEQt4ta1iZbC3bzeLTTwduVP94gsxAxyQeoxWlp/geWDxnpcskUaaB4fsFh0uLcCXnYYeRh6gDHPcgjvQBS8cW8Wg+ONC8QLGssGruND1K0xk3CSZ2Nt7lTnPU44rj7mO40rQdSgt51k1H4e6gs1lcO/EtnKM+SzeuzKkD+6or0LVvD+saj48OuyQQS2mj2D/2RbtJxLduDuZ/7oAAX8QR3rAh+HGrS6Doei3rRyQ3l8+qeJZy4LTyZDLFj+JS2AT/sZ70AZkukW2pa7q3hmIMmleLNOGuWQYYaxuhglmHVQTtJPr8o71FpPiKcz+DPHW0m41KT+wdViTn7S24hJkA4bDKSSM8HHaug1Dwj4nu7bxRqEQt4ta1iZbC3bzeLTTwduVP94gsxAxyQeoxWlp/geWDxnpcskUaaB4fsFh0uLcCXnYYeRh6gDHPcgjvQBS8cW8Wg+ONC8QLGssGruND1K0xk3CSZ2Nt7lTnPU44rj7mO40rQdSgt51k1H4e6gs1lcO/EtnKM+SzeuzKkD+6or0LVvD+saj48OuyQQS2mj2D/ANkW7ScS3bg7mf8AugABfxBHesCH4catLoOh6LetHJDeXz6p4lnLgtPJkMsWP4lLYBP+xnvQBmS6RbalrureGYgyaV4s04a5ZBhhrG6GCWYdVBO0k+vyjvUWk+IpzP4M8dbSbjUpP7B1WJOftLbiEmQDhsMpJIzwcdq6DUPCPie7tvFGoRC3i1rWJlsLdvN4tNPB25U/3iCzEDHJB6jFaWn+B5YPGelyyRRpoHh+wWHS4twJedhh5GHqAMc9yCO9AFLxxbxaD440LxAsaywau40PUrTGTcJJnY23uVOc9TjiuPuY7jStB1KC3nWTUfh7qCzWVw78S2coz5LN67MqQP7qivQtW8P6xqPjw67JBBLaaPYP/ZFu0nEt24O5n/ugABfxBHesCH4catLoOh6LetHJDeXz6p4lnLgtPJkMsWP4lLYBP+xnvQBmS6RbalrureGYgyaV4s04a5ZBhhrG6GCWYdVBO0k+vyjvUWk+IpzP4M8dbSbjUpP7B1WJOftLbiEmQDhsMpJIzwcdq6DUPCPie7tvFGoRC3i1rWJlsLdvN4tNPB25U/3iCzEDHJB6jFaWn+B5YPGelyyRRpoHh+wWHS4twJedhh5GHqAMc9yCO9AFLxxbxaD440LxAsaywau40PUrTGTcJJnY23uVOc9TjiuPuY7jStB1KC3nWTUfh7qCzWVw78S2coz5LN67MqQP7qivQtW8P6xqPjw67JBBLaaPYP8A2RbtJxLduDuZ/wC6AAF/EEd6wIfhxq0ug6Hot60ckN5fPqniWcuC08mQyxY/iUtgE/7Ge9AGZLpFtqWu6t4ZiDJpXizThrlkGGGsboYJZh1UE7ST6/KO9RaT4inM/gzx1tJuNSk/sHVYk5+0tuISZAOGwykkjPBx2roNQ8I+J7u28UahELeLWtYmWwt283i008HblT/eILMQMckHqMVpaf4Hlg8Z6XLJFGmgeH7BYdLi3Al52GHkYeoAxz3II70AUvHFvFoPjjQvECxrLBq7jQ9StMZNwkmdjbe5U5z1OOK4+5juNK0HUoLedZNR+HuoLNZXDvxLZyjPks3rsypA/uqK9C1bw/rGo+PDrskEEtpo9g/9kW7ScS3bg7mf+6AAF/EEd6wIfhxq0ug6Hot60ckN5fPqniWcuC08mQyxY/iUtgE/7Ge9AGZLpFtqWu6t4ZiDJpXizThrlkGGGsboYJZh1UE7ST6/KO9RaT4inM/gzx1tJuNSk/sHVYk5+0tuISZAOGwykkjPBx2roNQ8I+J7u28UahELeLWtYmWwt283i008HblT/eILMQMckHqMVpaf4Hlg8Z6XLJFGmgeH7BYdLi3Al52GHkYeoAxz3II70Ad5VTVP+QTe/wDXB/8A0E1booA+Vb3/AJJ3L/2Klp/6dGr6qoooAKqap/yCb3/rg/8A6Cat0UAfKt7/AMk7l/7FS0/9OjV9VUUUAFVNU/5BN7/1wf8A9BNW6KAPlW9/5J3L/wBipaf+nRq+qqKKACqmqf8AIJvf+uD/APoJq3RQB8q3v/JO5f8AsVLT/wBOjV9VUUUAFVNU/wCQTe/9cH/9BNW6KAPlW9/5J3L/ANipaf8Ap0avqqiigDyn4jzaTLry2WteINTvoZEUQ+F9IjIlnbHJkZTkqc5wdvTjNc5JbaVpV5BcT6Vqvw21GQKtvfQOJ7OUfwrNj5c9yrY9zXoXiDSfFeo+Ipo9CGl6LaSxKtxrPlCW7lH9xVwMAf7R9we1Ztx4H8UaDDI3h/xDJrMEo/0rS/EJ86O4J+8VfGVJ546ZPNAHHx22lareT3EGlar8SdRjDLcX1w4gs4h/EsOflz3Crn2NdH8OJtJi15rLRfEGp2MMaMJvC+rxkywNjgxsxyFGM4G7rzirtv4H8Ua9DG3iDxDJo0EQ/wBF0vw8fJjtyPulnxliOOOmRxWl4f0nxXp3iKGPXRpetWkUTLb6z5Qiu4h/cZcHIP8Asn3J7UAeRa9H4du9aS2vZpLDVAoaG8QmIn2D9D9D+FVr/T9N05I5/FWuS6jt/wBTbuNqt6fu1+8fc8etdbeWNrqNu1veW8c8R6rIuRWdpfhbR9HlM1paDzu0khLso7AE9B24r4Snioxgk5S06afg94+mp9pUw0pTbSWvr+K2l+Bh2Gn6bqKST+Fdcl07d/rrdBuVfX9233T7jj0qzoMfh201p7aymkv9UKlprxyZSPYv0H0H41p6p4W0fWJRNd2g87vJGSjMO4JHUdua0bOxtdOt1t7O3jgiHRY1wKVTFRlBpSlr6fi95fgFPDSjNNpaev4LaP4nN69H4du9aS2vZpLDVAoaG8QmIn2D9D9D+FVr/T9N05I5/FWuS6jt/wBTbuNqt6fu1+8fc8etdbeWNrqNu1veW8c8R6rIuRWdpfhbR9HlM1paDzu0khLso7AE9B24p08VGMEnKWnTT8HvH01CphpSm2ktfX8VtL8DDsNP03UUkn8K65Lp27/XW6Dcq+v7tvun3HHpVnQY/DtprT21lNJf6oVLTXjkykexfoPoPxrT1Twto+sSia7tB53eSMlGYdwSOo7c1o2dja6dbrb2dvHBEOixrgUqmKjKDSlLX0/F7y/AKeGlGabS09fwW0fxOb16Pw7d60ltezSWGqBQ0N4hMRPsH6H6H8KrX+n6bpyRz+Ktcl1Hb/qbdxtVvT92v3j7nj1rrbyxtdRt2t7y3jniPVZFyKztL8LaPo8pmtLQed2kkJdlHYAnoO3FOnioxgk5S06afg94+moVMNKU20lr6/itpfgYdhp+m6ikk/hXXJdO3f663QblX1/dt90+449Ks6DH4dtNae2sppL/AFQqWmvHJlI9i/QfQfjWnqnhbR9YlE13aDzu8kZKMw7gkdR25rRs7G1063W3s7eOCIdFjXApVMVGUGlKWvp+L3l+AU8NKM02lp6/gto/ic3r0fh271pLa9mksNUChobxCYifYP0P0P4VWv8AT9N05I5/FWuS6jt/1Nu42q3p+7X7x9zx611t5Y2uo27W95bxzxHqsi5FZ2l+FtH0eUzWloPO7SSEuyjsAT0HbinTxUYwScpadNPwe8fTUKmGlKbaS19fxW0vwMOw0/TdRSSfwrrkunbv9dboNyr6/u2+6fccelWdBj8O2mtPbWU0l/qhUtNeOTKR7F+g+g/GtPVPC2j6xKJru0Hnd5IyUZh3BI6jtzWjZ2Nrp1utvZ28cEQ6LGuBSqYqMoNKUtfT8XvL8Ap4aUZptLT1/BbR/E5SiiivvD4sKKKKACiiigAooooA9k1bxBrGnePDoUk8EVprFg/9kXDR8RXaA7lf+8CCG/AAd6wIfiPq0Wg6HrV6sccNnfPpfiWAoA0EmQqy5/hUNgkf7eO1XfHFxFr3jjQvD6yLFBpDjXNSu84Nukedi7uxY5z0OOa4+5kuNV0HUp7eBY9R+IWoLDZW7pxFZxDHnMvrsyxI/vKaAOr1Dxd4ntLbxRp8Rt5da0eZb+3XyuLvTyd2FH94AMpIzyAOpzWlp/jiWfxnpcUksb6B4gsFm0uXaAUnUZeNj6kHPPcADvXJS6vbabrureJoiz6V4T04aHZFjlr66OAVY9WAO0EevzDvUWk+HZxP4M8C7iLjTZP7e1WVOPszbiUhQjhcsxBAxwM96AO31bxBrGnePDoUk8EVprFg/wDZFw0fEV2gO5X/ALwIIb8AB3rAh+I+rRaDoetXqxxw2d8+l+JYCgDQSZCrLn+FQ2CR/t47Vd8cXEWveONC8PrIsUGkONc1K7zg26R52Lu7FjnPQ45rj7mS41XQdSnt4Fj1H4hagsNlbunEVnEMecy+uzLEj+8poA6vUPF3ie0tvFGnxG3l1rR5lv7dfK4u9PJ3YUf3gAykjPIA6nNaWn+OJZ/GelxSSxvoHiCwWbS5doBSdRl42PqQc89wAO9clLq9tpuu6t4miLPpXhPThodkWOWvro4BVj1YA7QR6/MO9RaT4dnE/gzwLuIuNNk/t7VZU4+zNuJSFCOFyzEEDHAz3oA7fVvEGsad48OhSTwRWmsWD/2RcNHxFdoDuV/7wIIb8AB3rAh+I+rRaDoetXqxxw2d8+l+JYCgDQSZCrLn+FQ2CR/t47Vd8cXEWveONC8PrIsUGkONc1K7zg26R52Lu7FjnPQ45rj7mS41XQdSnt4Fj1H4hagsNlbunEVnEMecy+uzLEj+8poA6vUPF3ie0tvFGnxG3l1rR5lv7dfK4u9PJ3YUf3gAykjPIA6nNaWn+OJZ/GelxSSxvoHiCwWbS5doBSdRl42PqQc89wAO9clLq9tpuu6t4miLPpXhPThodkWOWvro4BVj1YA7QR6/MO9RaT4dnE/gzwLuIuNNk/t7VZU4+zNuJSFCOFyzEEDHAz3oA7fVvEGsad48OhSTwRWmsWD/ANkXDR8RXaA7lf8AvAghvwAHesCH4j6tFoOh61erHHDZ3z6X4lgKANBJkKsuf4VDYJH+3jtV3xxcRa9440Lw+sixQaQ41zUrvODbpHnYu7sWOc9DjmuPuZLjVdB1Ke3gWPUfiFqCw2Vu6cRWcQx5zL67MsSP7ymgDq9Q8XeJ7S28UafEbeXWtHmW/t18ri708ndhR/eADKSM8gDqc1paf44ln8Z6XFJLG+geILBZtLl2gFJ1GXjY+pBzz3AA71yUur22m67q3iaIs+leE9OGh2RY5a+ujgFWPVgDtBHr8w71FpPh2cT+DPAu4i402T+3tVlTj7M24lIUI4XLMQQMcDPegDt9W8Qaxp3jw6FJPBFaaxYP/ZFw0fEV2gO5X/vAghvwAHesCH4j6tFoOh61erHHDZ3z6X4lgKANBJkKsuf4VDYJH+3jtV3xxcRa9440Lw+sixQaQ41zUrvODbpHnYu7sWOc9DjmuPuZLjVdB1Ke3gWPUfiFqCw2Vu6cRWcQx5zL67MsSP7ymgDq9Q8XeJ7S28UafEbeXWtHmW/t18ri708ndhR/eADKSM8gDqc1paf44ln8Z6XFJLG+geILBZtLl2gFJ1GXjY+pBzz3AA71yUur22m67q3iaIs+leE9OGh2RY5a+ujgFWPVgDtBHr8w71FpPh2cT+DPAu4i402T+3tVlTj7M24lIUI4XLMQQMcDPegDt9W8Qaxp3jw6FJPBFaaxYP8A2RcNHxFdoDuV/wC8CCG/AAd6wIfiPq0Wg6HrV6sccNnfPpfiWAoA0EmQqy5/hUNgkf7eO1XfHFxFr3jjQvD6yLFBpDjXNSu84Nukedi7uxY5z0OOa4+5kuNV0HUp7eBY9R+IWoLDZW7pxFZxDHnMvrsyxI/vKaAOr1Dxd4ntLbxRp8Rt5da0eZb+3XyuLvTyd2FH94AMpIzyAOpzWlp/jiWfxnpcUksb6B4gsFm0uXaAUnUZeNj6kHPPcADvXJS6vbabrureJoiz6V4T04aHZFjlr66OAVY9WAO0EevzDvUWk+HZxP4M8C7iLjTZP7e1WVOPszbiUhQjhcsxBAxwM96AO31bxBrGnePDoUk8EVprFg/9kXDR8RXaA7lf+8CCG/AAd6wIfiPq0Wg6HrV6sccNnfPpfiWAoA0EmQqy5/hUNgkf7eO1XfHFxFr3jjQvD6yLFBpDjXNSu84Nukedi7uxY5z0OOa4+5kuNV0HUp7eBY9R+IWoLDZW7pxFZxDHnMvrsyxI/vKaAOr1Dxd4ntLbxRp8Rt5da0eZb+3XyuLvTyd2FH94AMpIzyAOpzWlp/jiWfxnpcUksb6B4gsFm0uXaAUnUZeNj6kHPPcADvXJS6vbabrureJoiz6V4T04aHZFjlr66OAVY9WAO0EevzDvUWk+HZxP4M8C7iLjTZP7e1WVOPszbiUhQjhcsxBAxwM96AO31bxBrGnePDoUk8EVprFg/wDZFw0fEV2gO5X/ALwIIb8AB3rAh+I+rRaDoetXqxxw2d8+l+JYCgDQSZCrLn+FQ2CR/t47Vd8cXEWveONC8PrIsUGkONc1K7zg26R52Lu7FjnPQ45rj7mS41XQdSnt4Fj1H4hagsNlbunEVnEMecy+uzLEj+8poA6vUPF3ie0tvFGnxG3l1rR5lv7dfK4u9PJ3YUf3gAykjPIA6nNaWn+OJZ/GelxSSxvoHiCwWbS5doBSdRl42PqQc89wAO9clLq9tpuu6t4miLPpXhPThodkWOWvro4BVj1YA7QR6/MO9RaT4dnE/gzwLuIuNNk/t7VZU4+zNuJSFCOFyzEEDHAz3oA7fVvEGsad48OhSTwRWmsWD/2RcNHxFdoDuV/7wIIb8AB3rAh+I+rRaDoetXqxxw2d8+l+JYCgDQSZCrLn+FQ2CR/t47Vd8cXEWveONC8PrIsUGkONc1K7zg26R52Lu7FjnPQ45rj7mS41XQdSnt4Fj1H4hagsNlbunEVnEMecy+uzLEj+8poA6vUPF3ie0tvFGnxG3l1rR5lv7dfK4u9PJ3YUf3gAykjPIA6nNaWn+OJZ/GelxSSxvoHiCwWbS5doBSdRl42PqQc89wAO9clLq9tpuu6t4miLPpXhPThodkWOWvro4BVj1YA7QR6/MO9RaT4dnE/gzwLuIuNNk/t7VZU4+zNuJSFCOFyzEEDHAz3oA7fVvEGsad48OhSTwRWmsWD/ANkXDR8RXaA7lf8AvAghvwAHesCH4j6tFoOh61erHHDZ3z6X4lgKANBJkKsuf4VDYJH+3jtV3xxcRa9440Lw+sixQaQ41zUrvODbpHnYu7sWOc9DjmuPuZLjVdB1Ke3gWPUfiFqCw2Vu6cRWcQx5zL67MsSP7ymgDq9Q8XeJ7S28UafEbeXWtHmW/t18ri708ndhR/eADKSM8gDqc1paf44ln8Z6XFJLG+geILBZtLl2gFJ1GXjY+pBzz3AA71yUur22m67q3iaIs+leE9OGh2RY5a+ujgFWPVgDtBHr8w71FpPh2cT+DPAu4i402T+3tVlTj7M24lIUI4XLMQQMcDPegDt9W8Qaxp3jw6FJPBFaaxYP/ZFw0fEV2gO5X/vAghvwAHesCH4j6tFoOh61erHHDZ3z6X4lgKANBJkKsuf4VDYJH+3jtV3xxcRa9440Lw+sixQaQ41zUrvODbpHnYu7sWOc9DjmuPuZLjVdB1Ke3gWPUfiFqCw2Vu6cRWcQx5zL67MsSP7ymgDq9Q8XeJ7S28UafEbeXWtHmW/t18ri708ndhR/eADKSM8gDqc1paf44ln8Z6XFJLG+geILBZtLl2gFJ1GXjY+pBzz3AA71yUur22m67q3iaIs+leE9OGh2RY5a+ujgFWPVgDtBHr8w71FpPh2cT+DPAu4i402T+3tVlTj7M24lIUI4XLMQQMcDPegDt9W8Qaxp3jw6FJPBFaaxYP8A2RcNHxFdoDuV/wC8CCG/AAd6wIfiPq0Wg6HrV6sccNnfPpfiWAoA0EmQqy5/hUNgkf7eO1XfHFxFr3jjQvD6yLFBpDjXNSu84Nukedi7uxY5z0OOa4+5kuNV0HUp7eBY9R+IWoLDZW7pxFZxDHnMvrsyxI/vKaAOr1Dxd4ntLbxRp8Rt5da0eZb+3XyuLvTyd2FH94AMpIzyAOpzWlp/jiWfxnpcUksb6B4gsFm0uXaAUnUZeNj6kHPPcADvXJS6vbabrureJoiz6V4T04aHZFjlr66OAVY9WAO0EevzDvUWk+HZxP4M8C7iLjTZP7e1WVOPszbiUhQjhcsxBAxwM96AO31bxBrGnePDoUk8EVprFg/9kXDR8RXaA7lf+8CCG/AAd6wIfiPq0Wg6HrV6sccNnfPpfiWAoA0EmQqy5/hUNgkf7eO1XfHFxFr3jjQvD6yLFBpDjXNSu84Nukedi7uxY5z0OOa4+5kuNV0HUp7eBY9R+IWoLDZW7pxFZxDHnMvrsyxI/vKaAOr1Dxd4ntLbxRp8Rt5da0eZb+3XyuLvTyd2FH94AMpIzyAOpzWlp/jiWfxnpcUksb6B4gsFm0uXaAUnUZeNj6kHPPcADvXJS6vbabrureJoiz6V4T04aHZFjlr66OAVY9WAO0EevzDvUWk+HZxP4M8C7iLjTZP7e1WVOPszbiUhQjhcsxBAxwM96AO31bxBrGnePDoUk8EVprFg/wDZFw0fEV2gO5X/ALwIIb8AB3rAh+I+rRaDoetXqxxw2d8+l+JYCgDQSZCrLn+FQ2CR/t47Vd8cXEWveONC8PrIsUGkONc1K7zg26R52Lu7FjnPQ45rj7mS41XQdSnt4Fj1H4hagsNlbunEVnEMecy+uzLEj+8poA6vUPF3ie0tvFGnxG3l1rR5lv7dfK4u9PJ3YUf3gAykjPIA6nNaWn+OJZ/GelxSSxvoHiCwWbS5doBSdRl42PqQc89wAO9clLq9tpuu6t4miLPpXhPThodkWOWvro4BVj1YA7QR6/MO9RaT4dnE/gzwLuIuNNk/t7VZU4+zNuJSFCOFyzEEDHAz3oA7fVvEGsad48OhSTwRWmsWD/2RcNHxFdoDuV/7wIIb8AB3rAh+I+rRaDoetXqxxw2d8+l+JYCgDQSZCrLn+FQ2CR/t47Vd8cXEWveONC8PrIsUGkONc1K7zg26R52Lu7FjnPQ45rj7mS41XQdSnt4Fj1H4hagsNlbunEVnEMecy+uzLEj+8poA6vUPF3ie0tvFGnxG3l1rR5lv7dfK4u9PJ3YUf3gAykjPIA6nNaWn+OJZ/GelxSSxvoHiCwWbS5doBSdRl42PqQc89wAO9clLq9tpuu6t4miLPpXhPThodkWOWvro4BVj1YA7QR6/MO9RaT4dnE/gzwLuIuNNk/t7VZU4+zNuJSFCOFyzEEDHAz3oA7fVvEGsad48OhSTwRWmsWD/ANkXDR8RXaA7lf8AvAghvwAHesCH4j6tFoOh61erHHDZ3z6X4lgKANBJkKsuf4VDYJH+3jtV3xxcRa9440Lw+sixQaQ41zUrvODbpHnYu7sWOc9DjmuPuZLjVdB1Ke3gWPUfiFqCw2Vu6cRWcQx5zL67MsSP7ymgDq9Q8XeJ7S28UafEbeXWtHmW/t18ri708ndhR/eADKSM8gDqc1paf44ln8Z6XFJLG+geILBZtLl2gFJ1GXjY+pBzz3AA71yUur22m67q3iaIs+leE9OGh2RY5a+ujgFWPVgDtBHr8w71FpPh2cT+DPAu4i402T+3tVlTj7M24lIUI4XLMQQMcDPegD0/XvG3hzwvcxW2tarDZzSp5iI6sdy5xngHuKyf+FueAv8AoZLb/vh//iaw/ifHrz6xZHSYtceL7P8AOdOsYZ13bj1L8g+wrhHj8YxxtI8Pi5UUEsTpFrwB+NAHq/8AwtzwF/0Mlt/3w/8A8TXa18v63e3d14J1nztTmv7S60W1v4ftFtFE8TG+WMj5B6Ie/evqCgDA17xt4c8L3MVtrWqw2c0qeYiOrHcucZ4B7isn/hbngL/oZLb/AL4f/wCJrD+J8evPrFkdJi1x4vs/znTrGGdd249S/IPsK4R4/GMcbSPD4uVFBLE6Ra8AfjQB6v8A8Lc8Bf8AQyW3/fD/APxNdrXy/rd7d3XgnWfO1Oa/tLrRbW/h+0W0UTxMb5YyPkHoh796+oKAMDXvG3hzwvcxW2tarDZzSp5iI6sdy5xngHuKyf8AhbngL/oZLb/vh/8A4msP4nx68+sWR0mLXHi+z/OdOsYZ13bj1L8g+wrhHj8YxxtI8Pi5UUEsTpFrwB+NAHq//C3PAX/QyW3/AHw//wATXa18v63e3d14J1nztTmv7S60W1v4ftFtFE8TG+WMj5B6Ie/evqCgDA17xt4c8L3MVtrWqw2c0qeYiOrHcucZ4B7isn/hbngL/oZLb/vh/wD4msP4nx68+sWR0mLXHi+z/OdOsYZ13bj1L8g+wrhHj8YxxtI8Pi5UUEsTpFrwB+NAHq//AAtzwF/0Mlt/3w//AMTXa18v63e3d14J1nztTmv7S60W1v4ftFtFE8TG+WMj5B6Ie/evqCgDA17xt4c8L3MVtrWqw2c0qeYiOrHcucZ4B7isn/hbngL/AKGS2/74f/4msP4nx68+sWR0mLXHi+z/ADnTrGGdd249S/IPsK4R4/GMcbSPD4uVFBLE6Ra8AfjQB6v/AMLc8Bf9DJbf98P/APE12tfL+t3t3deCdZ87U5r+0utFtb+H7RbRRPExvljI+QeiHv3r6goA4jVvEGsad48OhSTwRWmsWD/2RcNHxFdoDuV/7wIIb8AB3rAh+I+rRaDoetXqxxw2d8+l+JYCgDQSZCrLn+FQ2CR/t47Vd8cXEWveONC8PrIsUGkONc1K7zg26R52Lu7FjnPQ45rj7mS41XQdSnt4Fj1H4hagsNlbunEVnEMecy+uzLEj+8poA6vUPF3ie0tvFGnxG3l1rR5lv7dfK4u9PJ3YUf3gAykjPIA6nNaWn+OJZ/GelxSSxvoHiCwWbS5doBSdRl42PqQc89wAO9clLq9tpuu6t4miLPpXhPThodkWOWvro4BVj1YA7QR6/MO9RaT4dnE/gzwLuIuNNk/t7VZU4+zNuJSFCOFyzEEDHAz3oA7fVvEGsad48OhSTwRWmsWD/wBkXDR8RXaA7lf+8CCG/AAd6wIfiPq0Wg6HrV6sccNnfPpfiWAoA0EmQqy5/hUNgkf7eO1XfHFxFr3jjQvD6yLFBpDjXNSu84Nukedi7uxY5z0OOa4+5kuNV0HUp7eBY9R+IWoLDZW7pxFZxDHnMvrsyxI/vKaAOr1Dxd4ntLbxRp8Rt5da0eZb+3XyuLvTyd2FH94AMpIzyAOpzWlp/jiWfxnpcUksb6B4gsFm0uXaAUnUZeNj6kHPPcADvXJS6vbabrureJoiz6V4T04aHZFjlr66OAVY9WAO0EevzDvUWk+HZxP4M8C7iLjTZP7e1WVOPszbiUhQjhcsxBAxwM96AO31bxBrGnePDoUk8EVprFg/9kXDR8RXaA7lf+8CCG/AAd6wIfiPq0Wg6HrV6sccNnfPpfiWAoA0EmQqy5/hUNgkf7eO1XfHFxFr3jjQvD6yLFBpDjXNSu84Nukedi7uxY5z0OOa4+5kuNV0HUp7eBY9R+IWoLDZW7pxFZxDHnMvrsyxI/vKaAOr1Dxd4ntLbxRp8Rt5da0eZb+3XyuLvTyd2FH94AMpIzyAOpzWlp/jiWfxnpcUksb6B4gsFm0uXaAUnUZeNj6kHPPcADvXJS6vbabrureJoiz6V4T04aHZFjlr66OAVY9WAO0EevzDvUWk+HZxP4M8C7iLjTZP7e1WVOPszbiUhQjhcsxBAxwM96AO31bxBrGnePDoUk8EVprFg/8AZFw0fEV2gO5X/vAghvwAHesCH4j6tFoOh61erHHDZ3z6X4lgKANBJkKsuf4VDYJH+3jtV3xxcRa9440Lw+sixQaQ41zUrvODbpHnYu7sWOc9DjmuPuZLjVdB1Ke3gWPUfiFqCw2Vu6cRWcQx5zL67MsSP7ymgDq9Q8XeJ7S28UafEbeXWtHmW/t18ri708ndhR/eADKSM8gDqc1paf44ln8Z6XFJLG+geILBZtLl2gFJ1GXjY+pBzz3AA71yUur22m67q3iaIs+leE9OGh2RY5a+ujgFWPVgDtBHr8w71FpPh2cT+DPAu4i402T+3tVlTj7M24lIUI4XLMQQMcDPegDkqKKKACiiigAooooAKKKKAPUvHFvFoPjjQvECxrLBq7jQ9StMZNwkmdjbe5U5z1OOK4+5juNK0HUoLedZNR+HuoLNZXDvxLZyjPks3rsypA/uqK9C1bw/rGo+PDrskEEtpo9g/wDZFu0nEt24O5n/ALoAAX8QR3rAh+HGrS6Doei3rRyQ3l8+qeJZy4LTyZDLFj+JS2AT/sZ70AZkukW2pa7q3hmIMmleLNOGuWQYYaxuhglmHVQTtJPr8o71FpPiKcz+DPHW0m41KT+wdViTn7S24hJkA4bDKSSM8HHaug1Dwj4nu7bxRqEQt4ta1iZbC3bzeLTTwduVP94gsxAxyQeoxWlp/geWDxnpcskUaaB4fsFh0uLcCXnYYeRh6gDHPcgjvQBS8cW8Wg+ONC8QLGssGruND1K0xk3CSZ2Nt7lTnPU44rj7mO40rQdSgt51k1H4e6gs1lcO/EtnKM+SzeuzKkD+6or0LVvD+saj48OuyQQS2mj2D/2RbtJxLduDuZ/7oAAX8QR3rAh+HGrS6Doei3rRyQ3l8+qeJZy4LTyZDLFj+JS2AT/sZ70AZkukW2pa7q3hmIMmleLNOGuWQYYaxuhglmHVQTtJPr8o71FpPiKcz+DPHW0m41KT+wdViTn7S24hJkA4bDKSSM8HHaug1Dwj4nu7bxRqEQt4ta1iZbC3bzeLTTwduVP94gsxAxyQeoxWlp/geWDxnpcskUaaB4fsFh0uLcCXnYYeRh6gDHPcgjvQBS8cW8Wg+ONC8QLGssGruND1K0xk3CSZ2Nt7lTnPU44rj7mO40rQdSgt51k1H4e6gs1lcO/EtnKM+SzeuzKkD+6or0LVvD+saj48OuyQQS2mj2D/ANkW7ScS3bg7mf8AugABfxBHesCH4catLoOh6LetHJDeXz6p4lnLgtPJkMsWP4lLYBP+xnvQBmS6RbalrureGYgyaV4s04a5ZBhhrG6GCWYdVBO0k+vyjvUWk+IpzP4M8dbSbjUpP7B1WJOftLbiEmQDhsMpJIzwcdq6DUPCPie7tvFGoRC3i1rWJlsLdvN4tNPB25U/3iCzEDHJB6jFaWn+B5YPGelyyRRpoHh+wWHS4twJedhh5GHqAMc9yCO9AFLxxbxaD440LxAsaywau40PUrTGTcJJnY23uVOc9TjiuPuY7jStB1KC3nWTUfh7qCzWVw78S2coz5LN67MqQP7qivQtW8P6xqPjw67JBBLaaPYP/ZFu0nEt24O5n/ugABfxBHesCH4catLoOh6LetHJDeXz6p4lnLgtPJkMsWP4lLYBP+xnvQBmS6RbalrureGYgyaV4s04a5ZBhhrG6GCWYdVBO0k+vyjvUWk+IpzP4M8dbSbjUpP7B1WJOftLbiEmQDhsMpJIzwcdq6DUPCPie7tvFGoRC3i1rWJlsLdvN4tNPB25U/3iCzEDHJB6jFaWn+B5YPGelyyRRpoHh+wWHS4twJedhh5GHqAMc9yCO9AFLxxbxaD440LxAsaywau40PUrTGTcJJnY23uVOc9TjiuPuY7jStB1KC3nWTUfh7qCzWVw78S2coz5LN67MqQP7qivQtW8P6xqPjw67JBBLaaPYP8A2RbtJxLduDuZ/wC6AAF/EEd6wIfhxq0ug6Hot60ckN5fPqniWcuC08mQyxY/iUtgE/7Ge9AGZLpFtqWu6t4ZiDJpXizThrlkGGGsboYJZh1UE7ST6/KO9RaT4inM/gzx1tJuNSk/sHVYk5+0tuISZAOGwykkjPBx2roNQ8I+J7u28UahELeLWtYmWwt283i008HblT/eILMQMckHqMVpaf4Hlg8Z6XLJFGmgeH7BYdLi3Al52GHkYeoAxz3II70AUvHFvFoPjjQvECxrLBq7jQ9StMZNwkmdjbe5U5z1OOK4+5juNK0HUoLedZNR+HuoLNZXDvxLZyjPks3rsypA/uqK9C1bw/rGo+PDrskEEtpo9g/9kW7ScS3bg7mf+6AAF/EEd6wIfhxq0ug6Hot60ckN5fPqniWcuC08mQyxY/iUtgE/7Ge9AGZLpFtqWu6t4ZiDJpXizThrlkGGGsboYJZh1UE7ST6/KO9RaT4inM/gzx1tJuNSk/sHVYk5+0tuISZAOGwykkjPBx2roNQ8I+J7u28UahELeLWtYmWwt283i008HblT/eILMQMckHqMVpaf4Hlg8Z6XLJFGmgeH7BYdLi3Al52GHkYeoAxz3II70AUvHFvFoPjjQvECxrLBq7jQ9StMZNwkmdjbe5U5z1OOK4+5juNK0HUoLedZNR+HuoLNZXDvxLZyjPks3rsypA/uqK9C1bw/rGo+PDrskEEtpo9g/wDZFu0nEt24O5n/ALoAAX8QR3rAh+HGrS6Doei3rRyQ3l8+qeJZy4LTyZDLFj+JS2AT/sZ70AZkukW2pa7q3hmIMmleLNOGuWQYYaxuhglmHVQTtJPr8o71FpPiKcz+DPHW0m41KT+wdViTn7S24hJkA4bDKSSM8HHaug1Dwj4nu7bxRqEQt4ta1iZbC3bzeLTTwduVP94gsxAxyQeoxWlp/geWDxnpcskUaaB4fsFh0uLcCXnYYeRh6gDHPcgjvQBS8cW8Wg+ONC8QLGssGruND1K0xk3CSZ2Nt7lTnPU44rj7mO40rQdSgt51k1H4e6gs1lcO/EtnKM+SzeuzKkD+6or0LVvD+saj48OuyQQS2mj2D/2RbtJxLduDuZ/7oAAX8QR3rAh+HGrS6Doei3rRyQ3l8+qeJZy4LTyZDLFj+JS2AT/sZ70AZkukW2pa7q3hmIMmleLNOGuWQYYaxuhglmHVQTtJPr8o71FpPiKcz+DPHW0m41KT+wdViTn7S24hJkA4bDKSSM8HHaug1Dwj4nu7bxRqEQt4ta1iZbC3bzeLTTwduVP94gsxAxyQeoxWlp/geWDxnpcskUaaB4fsFh0uLcCXnYYeRh6gDHPcgjvQBS8cW8Wg+ONC8QLGssGruND1K0xk3CSZ2Nt7lTnPU44rj7mO40rQdSgt51k1H4e6gs1lcO/EtnKM+SzeuzKkD+6or0LVvD+saj48OuyQQS2mj2D/ANkW7ScS3bg7mf8AugABfxBHesCH4catLoOh6LetHJDeXz6p4lnLgtPJkMsWP4lLYBP+xnvQBmS6RbalrureGYgyaV4s04a5ZBhhrG6GCWYdVBO0k+vyjvUWk+IpzP4M8dbSbjUpP7B1WJOftLbiEmQDhsMpJIzwcdq6DUPCPie7tvFGoRC3i1rWJlsLdvN4tNPB25U/3iCzEDHJB6jFaWn+B5YPGelyyRRpoHh+wWHS4twJedhh5GHqAMc9yCO9AFLxxbxaD440LxAsaywau40PUrTGTcJJnY23uVOc9TjiuPuY7jStB1KC3nWTUfh7qCzWVw78S2coz5LN67MqQP7qivQtW8P6xqPjw67JBBLaaPYP/ZFu0nEt24O5n/ugABfxBHesCH4catLoOh6LetHJDeXz6p4lnLgtPJkMsWP4lLYBP+xnvQBmS6RbalrureGYgyaV4s04a5ZBhhrG6GCWYdVBO0k+vyjvUWk+IpzP4M8dbSbjUpP7B1WJOftLbiEmQDhsMpJIzwcdq6DUPCPie7tvFGoRC3i1rWJlsLdvN4tNPB25U/3iCzEDHJB6jFaWn+B5YPGelyyRRpoHh+wWHS4twJedhh5GHqAMc9yCO9AFLxxbxaD440LxAsaywau40PUrTGTcJJnY23uVOc9TjiuPuY7jStB1KC3nWTUfh7qCzWVw78S2coz5LN67MqQP7qivQtW8P6xqPjw67JBBLaaPYP8A2RbtJxLduDuZ/wC6AAF/EEd6wIfhxq0ug6Hot60ckN5fPqniWcuC08mQyxY/iUtgE/7Ge9AGZLpFtqWu6t4ZiDJpXizThrlkGGGsboYJZh1UE7ST6/KO9RaT4inM/gzx1tJuNSk/sHVYk5+0tuISZAOGwykkjPBx2roNQ8I+J7u28UahELeLWtYmWwt283i008HblT/eILMQMckHqMVpaf4Hlg8Z6XLJFGmgeH7BYdLi3Al52GHkYeoAxz3II70AUvHFvFoPjjQvECxrLBq7jQ9StMZNwkmdjbe5U5z1OOK4+5juNK0HUoLedZNR+HuoLNZXDvxLZyjPks3rsypA/uqK9C1bw/rGo+PDrskEEtpo9g/9kW7ScS3bg7mf+6AAF/EEd6wIfhxq0ug6Hot60ckN5fPqniWcuC08mQyxY/iUtgE/7Ge9AGZLpFtqWu6t4ZiDJpXizThrlkGGGsboYJZh1UE7ST6/KO9RaT4inM/gzx1tJuNSk/sHVYk5+0tuISZAOGwykkjPBx2roNQ8I+J7u28UahELeLWtYmWwt283i008HblT/eILMQMckHqMVpaf4Hlg8Z6XLJFGmgeH7BYdLi3Al52GHkYeoAxz3II70AUvHFvFoPjjQvECxrLBq7jQ9StMZNwkmdjbe5U5z1OOK4+5juNK0HUoLedZNR+HuoLNZXDvxLZyjPks3rsypA/uqK9C1bw/rGo+PDrskEEtpo9g/wDZFu0nEt24O5n/ALoAAX8QR3rAh+HGrS6Doei3rRyQ3l8+qeJZy4LTyZDLFj+JS2AT/sZ70AZkukW2pa7q3hmIMmleLNOGuWQYYaxuhglmHVQTtJPr8o71FpPiKcz+DPHW0m41KT+wdViTn7S24hJkA4bDKSSM8HHaug1Dwj4nu7bxRqEQt4ta1iZbC3bzeLTTwduVP94gsxAxyQeoxWlp/geWDxnpcskUaaB4fsFh0uLcCXnYYeRh6gDHPcgjvQBS8cW8Wg+ONC8QLGssGruND1K0xk3CSZ2Nt7lTnPU44rj7mO40rQdSgt51k1H4e6gs1lcO/EtnKM+SzeuzKkD+6or0LVvD+saj48OuyQQS2mj2D/2RbtJxLduDuZ/7oAAX8QR3rAh+HGrS6Doei3rRyQ3l8+qeJZy4LTyZDLFj+JS2AT/sZ70AZkukW2pa7q3hmIMmleLNOGuWQYYaxuhglmHVQTtJPr8o71FpPiKcz+DPHW0m41KT+wdViTn7S24hJkA4bDKSSM8HHaug1Dwj4nu7bxRqEQt4ta1iZbC3bzeLTTwduVP94gsxAxyQeoxWlp/geWDxnpcskUaaB4fsFh0uLcCXnYYeRh6gDHPcgjvQBS8cW8Wg+ONC8QLGssGruND1K0xk3CSZ2Nt7lTnPU44rj7mO40rQdSgt51k1H4e6gs1lcO/EtnKM+SzeuzKkD+6or0LVvD+saj48OuyQQS2mj2D/ANkW7ScS3bg7mf8AugABfxBHesCH4catLoOh6LetHJDeXz6p4lnLgtPJkMsWP4lLYBP+xnvQBmS6RbalrureGYgyaV4s04a5ZBhhrG6GCWYdVBO0k+vyjvUWk+IpzP4M8dbSbjUpP7B1WJOftLbiEmQDhsMpJIzwcdq6DUPCPie7tvFGoRC3i1rWJlsLdvN4tNPB25U/3iCzEDHJB6jFaWn+B5YPGelyyRRpoHh+wWHS4twJedhh5GHqAMc9yCO9AFLxxbxaD440LxAsaywau40PUrTGTcJJnY23uVOc9TjiuPuY7jStB1KC3nWTUfh7qCzWVw78S2coz5LN67MqQP7qivQtW8P6xqPjw67JBBLaaPYP/ZFu0nEt24O5n/ugABfxBHesCH4catLoOh6LetHJDeXz6p4lnLgtPJkMsWP4lLYBP+xnvQBmS6RbalrureGYgyaV4s04a5ZBhhrG6GCWYdVBO0k+vyjvUWk+IpzP4M8dbSbjUpP7B1WJOftLbiEmQDhsMpJIzwcdq6DUPCPie7tvFGoRC3i1rWJlsLdvN4tNPB25U/3iCzEDHJB6jFaWn+B5YPGelyyRRpoHh+wWHS4twJedhh5GHqAMc9yCO9AHeVU1T/kE3v8A1wf/ANBNW6KAPlW9/wCSdy/9ipaf+nRq+qqKKACqmqf8gm9/64P/AOgmrdFAHyre/wDJO5f+xUtP/To1fVVFFABVTVP+QTe/9cH/APQTVuigD5Vvf+Sdy/8AYqWn/p0avqqiigAqpqn/ACCb3/rg/wD6Cat0UAfKt7/yTuX/ALFS0/8ATo1fVVFFABVTVP8AkE3v/XB//QTVuigD5Vvf+Sdy/wDYqWn/AKdGr6qoooA828cW8Wg+ONC8QLGssGruND1K0xk3CSZ2Nt7lTnPU44rj7mO40rQdSgt51k1H4e6gs1lcO/EtnKM+SzeuzKkD+6or0LVvD+saj48OuyQQS2mj2D/2RbtJxLduDuZ/7oAAX8QR3rAh+HGrS6Doei3rRyQ3l8+qeJZy4LTyZDLFj+JS2AT/ALGe9AGZLpFtqWu6t4ZiDJpXizThrlkGGGsboYJZh1UE7ST6/KO9RaT4inM/gzx1tJuNSk/sHVYk5+0tuISZAOGwykkjPBx2roNQ8I+J7u28UahELeLWtYmWwt283i008HblT/eILMQMckHqMVpaf4Hlg8Z6XLJFGmgeH7BYdLi3Al52GHkYeoAxz3II70AUvHFvFoPjjQvECxrLBq7jQ9StMZNwkmdjbe5U5z1OOK4+5juNK0HUoLedZNR+HuoLNZXDvxLZyjPks3rsypA/uqK9C1bw/rGo+PDrskEEtpo9g/8AZFu0nEt24O5n/ugABfxBHesCH4catLoOh6LetHJDeXz6p4lnLgtPJkMsWP4lLYBP+xnvQBmS6RbalrureGYgyaV4s04a5ZBhhrG6GCWYdVBO0k+vyjvUWk+IpzP4M8dbSbjUpP7B1WJOftLbiEmQDhsMpJIzwcdq6DUPCPie7tvFGoRC3i1rWJlsLdvN4tNPB25U/wB4gsxAxyQeoxWlp/geWDxnpcskUaaB4fsFh0uLcCXnYYeRh6gDHPcgjvQBS8cW8Wg+ONC8QLGssGruND1K0xk3CSZ2Nt7lTnPU44rj7mO40rQdSgt51k1H4e6gs1lcO/EtnKM+SzeuzKkD+6or0LVvD+saj48OuyQQS2mj2D/2RbtJxLduDuZ/7oAAX8QR3rAh+HGrS6Doei3rRyQ3l8+qeJZy4LTyZDLFj+JS2AT/ALGe9AGZLpFtqWu6t4ZiDJpXizThrlkGGGsboYJZh1UE7ST6/KO9RaT4inM/gzx1tJuNSk/sHVYk5+0tuISZAOGwykkjPBx2roNQ8I+J7u28UahELeLWtYmWwt283i008HblT/eILMQMckHqMVpaf4Hlg8Z6XLJFGmgeH7BYdLi3Al52GHkYeoAxz3II70AUvHFvFoPjjQvECxrLBq7jQ9StMZNwkmdjbe5U5z1OOK4+5juNK0HUoLedZNR+HuoLNZXDvxLZyjPks3rsypA/uqK9C1bw/rGo+PDrskEEtpo9g/8AZFu0nEt24O5n/ugABfxBHesCH4catLoOh6LetHJDeXz6p4lnLgtPJkMsWP4lLYBP+xnvQBmS6RbalrureGYgyaV4s04a5ZBhhrG6GCWYdVBO0k+vyjvUWk+IpzP4M8dbSbjUpP7B1WJOftLbiEmQDhsMpJIzwcdq6DUPCPie7tvFGoRC3i1rWJlsLdvN4tNPB25U/wB4gsxAxyQeoxWlp/geWDxnpcskUaaB4fsFh0uLcCXnYYeRh6gDHPcgjvQB5BRRRQAUUUUAFFFFABRRRQB7Jq3iDWNO8eHQpJ4IrTWLB/7IuGj4iu0B3K/94EEN+AA71gQ/EfVotB0PWr1Y44bO+fS/EsBQBoJMhVlz/CobBI/28dqu+OLiLXvHGheH1kWKDSHGuald5wbdI87F3dixznocc1x9zJcaroOpT28Cx6j8QtQWGyt3TiKziGPOZfXZliR/eU0AdXqHi7xPaW3ijT4jby61o8y39uvlcXenk7sKP7wAZSRnkAdTmtLT/HEs/jPS4pJY30DxBYLNpcu0ApOoy8bH1IOee4AHeuSl1e203XdW8TRFn0rwnpw0OyLHLX10cAqx6sAdoI9fmHeotJ8OzifwZ4F3EXGmyf29qsqcfZm3EpChHC5ZiCBjgZ70Advq3iDWNO8eHQpJ4IrTWLB/7IuGj4iu0B3K/wDeBBDfgAO9YEPxH1aLQdD1q9WOOGzvn0vxLAUAaCTIVZc/wqGwSP8Abx2q744uIte8caF4fWRYoNIca5qV3nBt0jzsXd2LHOehxzXH3Mlxqug6lPbwLHqPxC1BYbK3dOIrOIY85l9dmWJH95TQB1eoeLvE9pbeKNPiNvLrWjzLf26+Vxd6eTuwo/vABlJGeQB1Oa0tP8cSz+M9LikljfQPEFgs2ly7QCk6jLxsfUg557gAd65KXV7bTdd1bxNEWfSvCenDQ7IsctfXRwCrHqwB2gj1+Yd6i0nw7OJ/BngXcRcabJ/b2qypx9mbcSkKEcLlmIIGOBnvQB2+reINY07x4dCkngitNYsH/si4aPiK7QHcr/3gQQ34ADvWBD8R9Wi0HQ9avVjjhs759L8SwFAGgkyFWXP8KhsEj/bx2q744uIte8caF4fWRYoNIca5qV3nBt0jzsXd2LHOehxzXH3Mlxqug6lPbwLHqPxC1BYbK3dOIrOIY85l9dmWJH95TQB1eoeLvE9pbeKNPiNvLrWjzLf26+Vxd6eTuwo/vABlJGeQB1Oa0tP8cSz+M9LikljfQPEFgs2ly7QCk6jLxsfUg557gAd65KXV7bTdd1bxNEWfSvCenDQ7IsctfXRwCrHqwB2gj1+Yd6i0nw7OJ/BngXcRcabJ/b2qypx9mbcSkKEcLlmIIGOBnvQB2+reINY07x4dCkngitNYsH/si4aPiK7QHcr/AN4EEN+AA71gQ/EfVotB0PWr1Y44bO+fS/EsBQBoJMhVlz/CobBI/wBvHarvji4i17xxoXh9ZFig0hxrmpXecG3SPOxd3Ysc56HHNcfcyXGq6DqU9vAseo/ELUFhsrd04is4hjzmX12ZYkf3lNAHV6h4u8T2lt4o0+I28utaPMt/br5XF3p5O7Cj+8AGUkZ5AHU5rS0/xxLP4z0uKSWN9A8QWCzaXLtAKTqMvGx9SDnnuAB3rkpdXttN13VvE0RZ9K8J6cNDsixy19dHAKserAHaCPX5h3qLSfDs4n8GeBdxFxpsn9varKnH2ZtxKQoRwuWYggY4Ge9AHb6t4g1jTvHh0KSeCK01iwf+yLho+IrtAdyv/eBBDfgAO9YEPxH1aLQdD1q9WOOGzvn0vxLAUAaCTIVZc/wqGwSP9vHarvji4i17xxoXh9ZFig0hxrmpXecG3SPOxd3Ysc56HHNcfcyXGq6DqU9vAseo/ELUFhsrd04is4hjzmX12ZYkf3lNAHV6h4u8T2lt4o0+I28utaPMt/br5XF3p5O7Cj+8AGUkZ5AHU5rS0/xxLP4z0uKSWN9A8QWCzaXLtAKTqMvGx9SDnnuAB3rkpdXttN13VvE0RZ9K8J6cNDsixy19dHAKserAHaCPX5h3qLSfDs4n8GeBdxFxpsn9varKnH2ZtxKQoRwuWYggY4Ge9AHb6t4g1jTvHh0KSeCK01iwf+yLho+IrtAdyv8A3gQQ34ADvWBD8R9Wi0HQ9avVjjhs759L8SwFAGgkyFWXP8KhsEj/AG8dqu+OLiLXvHGheH1kWKDSHGuald5wbdI87F3dixznocc1x9zJcaroOpT28Cx6j8QtQWGyt3TiKziGPOZfXZliR/eU0AdXqHi7xPaW3ijT4jby61o8y39uvlcXenk7sKP7wAZSRnkAdTmtLT/HEs/jPS4pJY30DxBYLNpcu0ApOoy8bH1IOee4AHeuSl1e203XdW8TRFn0rwnpw0OyLHLX10cAqx6sAdoI9fmHeotJ8OzifwZ4F3EXGmyf29qsqcfZm3EpChHC5ZiCBjgZ70Advq3iDWNO8eHQpJ4IrTWLB/7IuGj4iu0B3K/94EEN+AA71gQ/EfVotB0PWr1Y44bO+fS/EsBQBoJMhVlz/CobBI/28dqu+OLiLXvHGheH1kWKDSHGuald5wbdI87F3dixznocc1x9zJcaroOpT28Cx6j8QtQWGyt3TiKziGPOZfXZliR/eU0AdXqHi7xPaW3ijT4jby61o8y39uvlcXenk7sKP7wAZSRnkAdTmtLT/HEs/jPS4pJY30DxBYLNpcu0ApOoy8bH1IOee4AHeuSl1e203XdW8TRFn0rwnpw0OyLHLX10cAqx6sAdoI9fmHeotJ8OzifwZ4F3EXGmyf29qsqcfZm3EpChHC5ZiCBjgZ70Advq3iDWNO8eHQpJ4IrTWLB/7IuGj4iu0B3K/wDeBBDfgAO9YEPxH1aLQdD1q9WOOGzvn0vxLAUAaCTIVZc/wqGwSP8Abx2q744uIte8caF4fWRYoNIca5qV3nBt0jzsXd2LHOehxzXH3Mlxqug6lPbwLHqPxC1BYbK3dOIrOIY85l9dmWJH95TQB1eoeLvE9pbeKNPiNvLrWjzLf26+Vxd6eTuwo/vABlJGeQB1Oa0tP8cSz+M9LikljfQPEFgs2ly7QCk6jLxsfUg557gAd65KXV7bTdd1bxNEWfSvCenDQ7IsctfXRwCrHqwB2gj1+Yd6i0nw7OJ/BngXcRcabJ/b2qypx9mbcSkKEcLlmIIGOBnvQB2+reINY07x4dCkngitNYsH/si4aPiK7QHcr/3gQQ34ADvWBD8R9Wi0HQ9avVjjhs759L8SwFAGgkyFWXP8KhsEj/bx2q744uIte8caF4fWRYoNIca5qV3nBt0jzsXd2LHOehxzXH3Mlxqug6lPbwLHqPxC1BYbK3dOIrOIY85l9dmWJH95TQB1eoeLvE9pbeKNPiNvLrWjzLf26+Vxd6eTuwo/vABlJGeQB1Oa0tP8cSz+M9LikljfQPEFgs2ly7QCk6jLxsfUg557gAd65KXV7bTdd1bxNEWfSvCenDQ7IsctfXRwCrHqwB2gj1+Yd6i0nw7OJ/BngXcRcabJ/b2qypx9mbcSkKEcLlmIIGOBnvQB2+reINY07x4dCkngitNYsH/si4aPiK7QHcr/AN4EEN+AA71gQ/EfVotB0PWr1Y44bO+fS/EsBQBoJMhVlz/CobBI/wBvHarvji4i17xxoXh9ZFig0hxrmpXecG3SPOxd3Ysc56HHNcfcyXGq6DqU9vAseo/ELUFhsrd04is4hjzmX12ZYkf3lNAHV6h4u8T2lt4o0+I28utaPMt/br5XF3p5O7Cj+8AGUkZ5AHU5rS0/xxLP4z0uKSWN9A8QWCzaXLtAKTqMvGx9SDnnuAB3rkpdXttN13VvE0RZ9K8J6cNDsixy19dHAKserAHaCPX5h3qLSfDs4n8GeBdxFxpsn9varKnH2ZtxKQoRwuWYggY4Ge9AHb6t4g1jTvHh0KSeCK01iwf+yLho+IrtAdyv/eBBDfgAO9YEPxH1aLQdD1q9WOOGzvn0vxLAUAaCTIVZc/wqGwSP9vHarvji4i17xxoXh9ZFig0hxrmpXecG3SPOxd3Ysc56HHNcfcyXGq6DqU9vAseo/ELUFhsrd04is4hjzmX12ZYkf3lNAHV6h4u8T2lt4o0+I28utaPMt/br5XF3p5O7Cj+8AGUkZ5AHU5rS0/xxLP4z0uKSWN9A8QWCzaXLtAKTqMvGx9SDnnuAB3rkpdXttN13VvE0RZ9K8J6cNDsixy19dHAKserAHaCPX5h3qLSfDs4n8GeBdxFxpsn9varKnH2ZtxKQoRwuWYggY4Ge9AHb6t4g1jTvHh0KSeCK01iwf+yLho+IrtAdyv8A3gQQ34ADvWBD8R9Wi0HQ9avVjjhs759L8SwFAGgkyFWXP8KhsEj/AG8dqu+OLiLXvHGheH1kWKDSHGuald5wbdI87F3dixznocc1x9zJcaroOpT28Cx6j8QtQWGyt3TiKziGPOZfXZliR/eU0AdXqHi7xPaW3ijT4jby61o8y39uvlcXenk7sKP7wAZSRnkAdTmtLT/HEs/jPS4pJY30DxBYLNpcu0ApOoy8bH1IOee4AHeuSl1e203XdW8TRFn0rwnpw0OyLHLX10cAqx6sAdoI9fmHeotJ8OzifwZ4F3EXGmyf29qsqcfZm3EpChHC5ZiCBjgZ70Advq3iDWNO8eHQpJ4IrTWLB/7IuGj4iu0B3K/94EEN+AA71gQ/EfVotB0PWr1Y44bO+fS/EsBQBoJMhVlz/CobBI/28dqu+OLiLXvHGheH1kWKDSHGuald5wbdI87F3dixznocc1x9zJcaroOpT28Cx6j8QtQWGyt3TiKziGPOZfXZliR/eU0AdXqHi7xPaW3ijT4jby61o8y39uvlcXenk7sKP7wAZSRnkAdTmtLT/HEs/jPS4pJY30DxBYLNpcu0ApOoy8bH1IOee4AHeuSl1e203XdW8TRFn0rwnpw0OyLHLX10cAqx6sAdoI9fmHeotJ8OzifwZ4F3EXGmyf29qsqcfZm3EpChHC5ZiCBjgZ70Advq3iDWNO8eHQpJ4IrTWLB/7IuGj4iu0B3K/wDeBBDfgAO9YEPxH1aLQdD1q9WOOGzvn0vxLAUAaCTIVZc/wqGwSP8Abx2q744uIte8caF4fWRYoNIca5qV3nBt0jzsXd2LHOehxzXH3Mlxqug6lPbwLHqPxC1BYbK3dOIrOIY85l9dmWJH95TQB1eoeLvE9pbeKNPiNvLrWjzLf26+Vxd6eTuwo/vABlJGeQB1Oa0tP8cSz+M9LikljfQPEFgs2ly7QCk6jLxsfUg557gAd65KXV7bTdd1bxNEWfSvCenDQ7IsctfXRwCrHqwB2gj1+Yd6i0nw7OJ/BngXcRcabJ/b2qypx9mbcSkKEcLlmIIGOBnvQB2+reINY07x4dCkngitNYsH/si4aPiK7QHcr/3gQQ34ADvWBD8R9Wi0HQ9avVjjhs759L8SwFAGgkyFWXP8KhsEj/bx2q744uIte8caF4fWRYoNIca5qV3nBt0jzsXd2LHOehxzXH3Mlxqug6lPbwLHqPxC1BYbK3dOIrOIY85l9dmWJH95TQB1eoeLvE9pbeKNPiNvLrWjzLf26+Vxd6eTuwo/vABlJGeQB1Oa0tP8cSz+M9LikljfQPEFgs2ly7QCk6jLxsfUg557gAd65KXV7bTdd1bxNEWfSvCenDQ7IsctfXRwCrHqwB2gj1+Yd6i0nw7OJ/BngXcRcabJ/b2qypx9mbcSkKEcLlmIIGOBnvQB2+reINY07x4dCkngitNYsH/si4aPiK7QHcr/AN4EEN+AA71gQ/EfVotB0PWr1Y44bO+fS/EsBQBoJMhVlz/CobBI/wBvHarvji4i17xxoXh9ZFig0hxrmpXecG3SPOxd3Ysc56HHNcfcyXGq6DqU9vAseo/ELUFhsrd04is4hjzmX12ZYkf3lNAHV6h4u8T2lt4o0+I28utaPMt/br5XF3p5O7Cj+8AGUkZ5AHU5rS0/xxLP4z0uKSWN9A8QWCzaXLtAKTqMvGx9SDnnuAB3rkpdXttN13VvE0RZ9K8J6cNDsixy19dHAKserAHaCPX5h3qLSfDs4n8GeBdxFxpsn9varKnH2ZtxKQoRwuWYggY4Ge9AHb6t4g1jTvHh0KSeCK01iwf+yLho+IrtAdyv/eBBDfgAO9YEPxH1aLQdD1q9WOOGzvn0vxLAUAaCTIVZc/wqGwSP9vHarvji4i17xxoXh9ZFig0hxrmpXecG3SPOxd3Ysc56HHNcfcyXGq6DqU9vAseo/ELUFhsrd04is4hjzmX12ZYkf3lNAHV6h4u8T2lt4o0+I28utaPMt/br5XF3p5O7Cj+8AGUkZ5AHU5rS0/xxLP4z0uKSWN9A8QWCzaXLtAKTqMvGx9SDnnuAB3rkpdXttN13VvE0RZ9K8J6cNDsixy19dHAKserAHaCPX5h3qLSfDs4n8GeBdxFxpsn9varKnH2ZtxKQoRwuWYggY4Ge9AHp+veNvDnhe5itta1WGzmlTzER1Y7lzjPAPcVk/wDC3PAX/QyW3/fD/wDxNYfxPj159YsjpMWuPF9n+c6dYwzru3HqX5B9hXCPH4xjjaR4fFyooJYnSLXgD8aAPV/+FueAv+hktv8Avh//AImu1r5f1u9u7rwTrPnanNf2l1otrfw/aLaKJ4mN8sZHyD0Q9+9fUFAGBr3jbw54XuYrbWtVhs5pU8xEdWO5c4zwD3FZP/C3PAX/AEMlt/3w/wD8TWH8T49efWLI6TFrjxfZ/nOnWMM67tx6l+QfYVwjx+MY42keHxcqKCWJ0i14A/GgD1f/AIW54C/6GS2/74f/AOJrta+X9bvbu68E6z52pzX9pdaLa38P2i2iieJjfLGR8g9EPfvX1BQBga9428OeF7mK21rVYbOaVPMRHVjuXOM8A9xWT/wtzwF/0Mlt/wB8P/8AE1h/E+PXn1iyOkxa48X2f5zp1jDOu7cepfkH2FcI8fjGONpHh8XKiglidIteAPxoA9X/AOFueAv+hktv++H/APia7Wvl/W727uvBOs+dqc1/aXWi2t/D9otooniY3yxkfIPRD3719QUAYGveNvDnhe5itta1WGzmlTzER1Y7lzjPAPcVk/8AC3PAX/QyW3/fD/8AxNYfxPj159YsjpMWuPF9n+c6dYwzru3HqX5B9hXCPH4xjjaR4fFyooJYnSLXgD8aAPV/+FueAv8AoZLb/vh//ia7Wvl/W727uvBOs+dqc1/aXWi2t/D9otooniY3yxkfIPRD3719QUAYGveNvDnhe5itta1WGzmlTzER1Y7lzjPAPcVk/wDC3PAX/QyW3/fD/wDxNYfxPj159YsjpMWuPF9n+c6dYwzru3HqX5B9hXCPH4xjjaR4fFyooJYnSLXgD8aAPV/+FueAv+hktv8Avh//AImu1r5f1u9u7rwTrPnanNf2l1otrfw/aLaKJ4mN8sZHyD0Q9+9fUFAGBr3jbw54XuYrbWtVhs5pU8xEdWO5c4zwD3FZP/C3PAX/AEMlt/3w/wD8TWH8T49efWLI6TFrjxfZ/nOnWMM67tx6l+QfYVwjx+MY42keHxcqKCWJ0i14A/GgD1f/AIW54C/6GS2/74f/AOJrta+X9bvbu68E6z52pzX9pdaLa38P2i2iieJjfLGR8g9EPfvX1BQBga9428OeF7mK21rVYbOaVPMRHVjuXOM8A9xWT/wtzwF/0Mlt/wB8P/8AE1h/E+PXn1iyOkxa48X2f5zp1jDOu7cepfkH2FcI8fjGONpHh8XKiglidIteAPxoA9X/AOFueAv+hktv++H/APia7Wvl/W727uvBOs+dqc1/aXWi2t/D9otooniY3yxkfIPRD3719QUAYGveNvDnhe5itta1WGzmlTzER1Y7lzjPAPcVk/8AC3PAX/QyW3/fD/8AxNYfxPj159YsjpMWuPF9n+c6dYwzru3HqX5B9hXCPH4xjjaR4fFyooJYnSLXgD8aAPV/+FueAv8AoZLb/vh//ia7Wvl/W727uvBOs+dqc1/aXWi2t/D9otooniY3yxkfIPRD3719QUAfMlFFFABRRRQAUUUUAFFFFAHqXji3i0HxxoXiBY1lg1dxoepWmMm4STOxtvcqc56nHFcfcx3GlaDqUFvOsmo/D3UFmsrh34ls5RnyWb12ZUgf3VFehat4f1jUfHh12SCCW00ewf8Asi3aTiW7cHcz/wB0AAL+II71gQ/DjVpdB0PRb1o5Iby+fVPEs5cFp5Mhlix/EpbAJ/2M96AMyXSLbUtd1bwzEGTSvFmnDXLIMMNY3QwSzDqoJ2kn1+Ud6i0nxFOZ/BnjraTcalJ/YOqxJz9pbcQkyAcNhlJJGeDjtXQah4R8T3dt4o1CIW8WtaxMthbt5vFpp4O3Kn+8QWYgY5IPUYrS0/wPLB4z0uWSKNNA8P2Cw6XFuBLzsMPIw9QBjnuQR3oApeOLeLQfHGheIFjWWDV3Gh6laYybhJM7G29ypznqccVx9zHcaVoOpQW86yaj8PdQWayuHfiWzlGfJZvXZlSB/dUV6Fq3h/WNR8eHXZIIJbTR7B/7It2k4lu3B3M/90AAL+II71gQ/DjVpdB0PRb1o5Iby+fVPEs5cFp5Mhlix/EpbAJ/2M96AMyXSLbUtd1bwzEGTSvFmnDXLIMMNY3QwSzDqoJ2kn1+Ud6i0nxFOZ/BnjraTcalJ/YOqxJz9pbcQkyAcNhlJJGeDjtXQah4R8T3dt4o1CIW8WtaxMthbt5vFpp4O3Kn+8QWYgY5IPUYrS0/wPLB4z0uWSKNNA8P2Cw6XFuBLzsMPIw9QBjnuQR3oApeOLeLQfHGheIFjWWDV3Gh6laYybhJM7G29ypznqccVx9zHcaVoOpQW86yaj8PdQWayuHfiWzlGfJZvXZlSB/dUV6Fq3h/WNR8eHXZIIJbTR7B/wCyLdpOJbtwdzP/AHQAAv4gjvWBD8ONWl0HQ9FvWjkhvL59U8SzlwWnkyGWLH8SlsAn/Yz3oAzJdIttS13VvDMQZNK8WacNcsgww1jdDBLMOqgnaSfX5R3qLSfEU5n8GeOtpNxqUn9g6rEnP2ltxCTIBw2GUkkZ4OO1dBqHhHxPd23ijUIhbxa1rEy2Fu3m8Wmng7cqf7xBZiBjkg9RitLT/A8sHjPS5ZIo00Dw/YLDpcW4EvOww8jD1AGOe5BHegCl44t4tB8caF4gWNZYNXcaHqVpjJuEkzsbb3KnOepxxXH3MdxpWg6lBbzrJqPw91BZrK4d+JbOUZ8lm9dmVIH91RXoWreH9Y1Hx4ddkggltNHsH/si3aTiW7cHcz/3QAAv4gjvWBD8ONWl0HQ9FvWjkhvL59U8SzlwWnkyGWLH8SlsAn/Yz3oAzJdIttS13VvDMQZNK8WacNcsgww1jdDBLMOqgnaSfX5R3qLSfEU5n8GeOtpNxqUn9g6rEnP2ltxCTIBw2GUkkZ4OO1dBqHhHxPd23ijUIhbxa1rEy2Fu3m8Wmng7cqf7xBZiBjkg9RitLT/A8sHjPS5ZIo00Dw/YLDpcW4EvOww8jD1AGOe5BHegCl44t4tB8caF4gWNZYNXcaHqVpjJuEkzsbb3KnOepxxXH3MdxpWg6lBbzrJqPw91BZrK4d+JbOUZ8lm9dmVIH91RXoWreH9Y1Hx4ddkggltNHsH/ALIt2k4lu3B3M/8AdAAC/iCO9YEPw41aXQdD0W9aOSG8vn1TxLOXBaeTIZYsfxKWwCf9jPegDMl0i21LXdW8MxBk0rxZpw1yyDDDWN0MEsw6qCdpJ9flHeotJ8RTmfwZ462k3GpSf2DqsSc/aW3EJMgHDYZSSRng47V0GoeEfE93beKNQiFvFrWsTLYW7ebxaaeDtyp/vEFmIGOSD1GK0tP8DyweM9LlkijTQPD9gsOlxbgS87DDyMPUAY57kEd6AKXji3i0HxxoXiBY1lg1dxoepWmMm4STOxtvcqc56nHFcfcx3GlaDqUFvOsmo/D3UFmsrh34ls5RnyWb12ZUgf3VFehat4f1jUfHh12SCCW00ewf+yLdpOJbtwdzP/dAAC/iCO9YEPw41aXQdD0W9aOSG8vn1TxLOXBaeTIZYsfxKWwCf9jPegDMl0i21LXdW8MxBk0rxZpw1yyDDDWN0MEsw6qCdpJ9flHeotJ8RTmfwZ462k3GpSf2DqsSc/aW3EJMgHDYZSSRng47V0GoeEfE93beKNQiFvFrWsTLYW7ebxaaeDtyp/vEFmIGOSD1GK0tP8DyweM9LlkijTQPD9gsOlxbgS87DDyMPUAY57kEd6AKXji3i0HxxoXiBY1lg1dxoepWmMm4STOxtvcqc56nHFcfcx3GlaDqUFvOsmo/D3UFmsrh34ls5RnyWb12ZUgf3VFehat4f1jUfHh12SCCW00ewf8Asi3aTiW7cHcz/wB0AAL+II71gQ/DjVpdB0PRb1o5Iby+fVPEs5cFp5Mhlix/EpbAJ/2M96AMyXSLbUtd1bwzEGTSvFmnDXLIMMNY3QwSzDqoJ2kn1+Ud6i0nxFOZ/BnjraTcalJ/YOqxJz9pbcQkyAcNhlJJGeDjtXQah4R8T3dt4o1CIW8WtaxMthbt5vFpp4O3Kn+8QWYgY5IPUYrS0/wPLB4z0uWSKNNA8P2Cw6XFuBLzsMPIw9QBjnuQR3oApeOLeLQfHGheIFjWWDV3Gh6laYybhJM7G29ypznqccVx9zHcaVoOpQW86yaj8PdQWayuHfiWzlGfJZvXZlSB/dUV6Fq3h/WNR8eHXZIIJbTR7B/7It2k4lu3B3M/90AAL+II71gQ/DjVpdB0PRb1o5Iby+fVPEs5cFp5Mhlix/EpbAJ/2M96AMyXSLbUtd1bwzEGTSvFmnDXLIMMNY3QwSzDqoJ2kn1+Ud6i0nxFOZ/BnjraTcalJ/YOqxJz9pbcQkyAcNhlJJGeDjtXQah4R8T3dt4o1CIW8WtaxMthbt5vFpp4O3Kn+8QWYgY5IPUYrS0/wPLB4z0uWSKNNA8P2Cw6XFuBLzsMPIw9QBjnuQR3oApeOLeLQfHGheIFjWWDV3Gh6laYybhJM7G29ypznqccVx9zHcaVoOpQW86yaj8PdQWayuHfiWzlGfJZvXZlSB/dUV6Fq3h/WNR8eHXZIIJbTR7B/wCyLdpOJbtwdzP/AHQAAv4gjvWBD8ONWl0HQ9FvWjkhvL59U8SzlwWnkyGWLH8SlsAn/Yz3oAzJdIttS13VvDMQZNK8WacNcsgww1jdDBLMOqgnaSfX5R3qLSfEU5n8GeOtpNxqUn9g6rEnP2ltxCTIBw2GUkkZ4OO1dBqHhHxPd23ijUIhbxa1rEy2Fu3m8Wmng7cqf7xBZiBjkg9RitLT/A8sHjPS5ZIo00Dw/YLDpcW4EvOww8jD1AGOe5BHegCl44t4tB8caF4gWNZYNXcaHqVpjJuEkzsbb3KnOepxxXH3MdxpWg6lBbzrJqPw91BZrK4d+JbOUZ8lm9dmVIH91RXoWreH9Y1Hx4ddkggltNHsH/si3aTiW7cHcz/3QAAv4gjvWBD8ONWl0HQ9FvWjkhvL59U8SzlwWnkyGWLH8SlsAn/Yz3oAzJdIttS13VvDMQZNK8WacNcsgww1jdDBLMOqgnaSfX5R3qLSfEU5n8GeOtpNxqUn9g6rEnP2ltxCTIBw2GUkkZ4OO1dBqHhHxPd23ijUIhbxa1rEy2Fu3m8Wmng7cqf7xBZiBjkg9RitLT/A8sHjPS5ZIo00Dw/YLDpcW4EvOww8jD1AGOe5BHegCl44t4tB8caF4gWNZYNXcaHqVpjJuEkzsbb3KnOepxxXH3MdxpWg6lBbzrJqPw91BZrK4d+JbOUZ8lm9dmVIH91RXoWreH9Y1Hx4ddkggltNHsH/ALIt2k4lu3B3M/8AdAAC/iCO9YEPw41aXQdD0W9aOSG8vn1TxLOXBaeTIZYsfxKWwCf9jPegDMl0i21LXdW8MxBk0rxZpw1yyDDDWN0MEsw6qCdpJ9flHeotJ8RTmfwZ462k3GpSf2DqsSc/aW3EJMgHDYZSSRng47V0GoeEfE93beKNQiFvFrWsTLYW7ebxaaeDtyp/vEFmIGOSD1GK0tP8DyweM9LlkijTQPD9gsOlxbgS87DDyMPUAY57kEd6AKXji3i0HxxoXiBY1lg1dxoepWmMm4STOxtvcqc56nHFcfcx3GlaDqUFvOsmo/D3UFmsrh34ls5RnyWb12ZUgf3VFehat4f1jUfHh12SCCW00ewf+yLdpOJbtwdzP/dAAC/iCO9YEPw41aXQdD0W9aOSG8vn1TxLOXBaeTIZYsfxKWwCf9jPegDMl0i21LXdW8MxBk0rxZpw1yyDDDWN0MEsw6qCdpJ9flHeotJ8RTmfwZ462k3GpSf2DqsSc/aW3EJMgHDYZSSRng47V0GoeEfE93beKNQiFvFrWsTLYW7ebxaaeDtyp/vEFmIGOSD1GK0tP8DyweM9LlkijTQPD9gsOlxbgS87DDyMPUAY57kEd6AKXji3i0HxxoXiBY1lg1dxoepWmMm4STOxtvcqc56nHFcfcx3GlaDqUFvOsmo/D3UFmsrh34ls5RnyWb12ZUgf3VFehat4f1jUfHh12SCCW00ewf8Asi3aTiW7cHcz/wB0AAL+II71gQ/DjVpdB0PRb1o5Iby+fVPEs5cFp5Mhlix/EpbAJ/2M96AMyXSLbUtd1bwzEGTSvFmnDXLIMMNY3QwSzDqoJ2kn1+Ud6i0nxFOZ/BnjraTcalJ/YOqxJz9pbcQkyAcNhlJJGeDjtXQah4R8T3dt4o1CIW8WtaxMthbt5vFpp4O3Kn+8QWYgY5IPUYrS0/wPLB4z0uWSKNNA8P2Cw6XFuBLzsMPIw9QBjnuQR3oApeOLeLQfHGheIFjWWDV3Gh6laYybhJM7G29ypznqccVx9zHcaVoOpQW86yaj8PdQWayuHfiWzlGfJZvXZlSB/dUV6Fq3h/WNR8eHXZIIJbTR7B/7It2k4lu3B3M/90AAL+II71gQ/DjVpdB0PRb1o5Iby+fVPEs5cFp5Mhlix/EpbAJ/2M96AMyXSLbUtd1bwzEGTSvFmnDXLIMMNY3QwSzDqoJ2kn1+Ud6i0nxFOZ/BnjraTcalJ/YOqxJz9pbcQkyAcNhlJJGeDjtXQah4R8T3dt4o1CIW8WtaxMthbt5vFpp4O3Kn+8QWYgY5IPUYrS0/wPLB4z0uWSKNNA8P2Cw6XFuBLzsMPIw9QBjnuQR3oApeOLeLQfHGheIFjWWDV3Gh6laYybhJM7G29ypznqccVx9zHcaVoOpQW86yaj8PdQWayuHfiWzlGfJZvXZlSB/dUV6Fq3h/WNR8eHXZIIJbTR7B/wCyLdpOJbtwdzP/AHQAAv4gjvWBD8ONWl0HQ9FvWjkhvL59U8SzlwWnkyGWLH8SlsAn/Yz3oAzJdIttS13VvDMQZNK8WacNcsgww1jdDBLMOqgnaSfX5R3qLSfEU5n8GeOtpNxqUn9g6rEnP2ltxCTIBw2GUkkZ4OO1dBqHhHxPd23ijUIhbxa1rEy2Fu3m8Wmng7cqf7xBZiBjkg9RitLT/A8sHjPS5ZIo00Dw/YLDpcW4EvOww8jD1AGOe5BHegCl44t4tB8caF4gWNZYNXcaHqVpjJuEkzsbb3KnOepxxXH3MdxpWg6lBbzrJqPw91BZrK4d+JbOUZ8lm9dmVIH91RXoWreH9Y1Hx4ddkggltNHsH/si3aTiW7cHcz/3QAAv4gjvWBD8ONWl0HQ9FvWjkhvL59U8SzlwWnkyGWLH8SlsAn/Yz3oAzJdIttS13VvDMQZNK8WacNcsgww1jdDBLMOqgnaSfX5R3qLSfEU5n8GeOtpNxqUn9g6rEnP2ltxCTIBw2GUkkZ4OO1dBqHhHxPd23ijUIhbxa1rEy2Fu3m8Wmng7cqf7xBZiBjkg9RitLT/A8sHjPS5ZIo00Dw/YLDpcW4EvOww8jD1AGOe5BHegCl44t4tB8caF4gWNZYNXcaHqVpjJuEkzsbb3KnOepxxXH3MdxpWg6lBbzrJqPw91BZrK4d+JbOUZ8lm9dmVIH91RXoWreH9Y1Hx4ddkggltNHsH/ALIt2k4lu3B3M/8AdAAC/iCO9YEPw41aXQdD0W9aOSG8vn1TxLOXBaeTIZYsfxKWwCf9jPegDMl0i21LXdW8MxBk0rxZpw1yyDDDWN0MEsw6qCdpJ9flHeotJ8RTmfwZ462k3GpSf2DqsSc/aW3EJMgHDYZSSRng47V0GoeEfE93beKNQiFvFrWsTLYW7ebxaaeDtyp/vEFmIGOSD1GK0tP8DyweM9LlkijTQPD9gsOlxbgS87DDyMPUAY57kEd6AO8qpqn/ACCb3/rg/wD6Cat0UAfKt7/yTuX/ALFS0/8ATo1fVVFFABVTVP8AkE3v/XB//QTVuigD5Vvf+Sdy/wDYqWn/AKdGr6qoooAKqap/yCb3/rg//oJq3RQB8q3v/JO5f+xUtP8A06NX1VRRQAVU1T/kE3v/AFwf/wBBNW6KAPlW9/5J3L/2Klp/6dGr6qoooAKqap/yCb3/AK4P/wCgmrdFAHyre/8AJO5f+xUtP/To1fVVFFABVTVP+QTe/wDXB/8A0E1booA+Vb3/AJJ3L/2Klp/6dGr6qoooAKqap/yCb3/rg/8A6Cat0UAfKt7/AMk7l/7FS0/9OjV9VUUUAFVNU/5BN7/1wf8A9BNW6KAPlW9/5J3L/wBipaf+nRq+qqKKAPmSiiigAooooAKKKKACiiigD2TVvEGsad48OhSTwRWmsWD/ANkXDR8RXaA7lf8AvAghvwAHesCH4j6tFoOh61erHHDZ3z6X4lgKANBJkKsuf4VDYJH+3jtV3xxcRa9440Lw+sixQaQ41zUrvODbpHnYu7sWOc9DjmuPuZLjVdB1Ke3gWPUfiFqCw2Vu6cRWcQx5zL67MsSP7ymgDq9Q8XeJ7S28UafEbeXWtHmW/t18ri708ndhR/eADKSM8gDqc1paf44ln8Z6XFJLG+geILBZtLl2gFJ1GXjY+pBzz3AA71yUur22m67q3iaIs+leE9OGh2RY5a+ujgFWPVgDtBHr8w71FpPh2cT+DPAu4i402T+3tVlTj7M24lIUI4XLMQQMcDPegDt9W8Qaxp3jw6FJPBFaaxYP/ZFw0fEV2gO5X/vAghvwAHesCH4j6tFoOh61erHHDZ3z6X4lgKANBJkKsuf4VDYJH+3jtV3xxcRa9440Lw+sixQaQ41zUrvODbpHnYu7sWOc9DjmuPuZLjVdB1Ke3gWPUfiFqCw2Vu6cRWcQx5zL67MsSP7ymgDq9Q8XeJ7S28UafEbeXWtHmW/t18ri708ndhR/eADKSM8gDqc1paf44ln8Z6XFJLG+geILBZtLl2gFJ1GXjY+pBzz3AA71yUur22m67q3iaIs+leE9OGh2RY5a+ujgFWPVgDtBHr8w71FpPh2cT+DPAu4i402T+3tVlTj7M24lIUI4XLMQQMcDPegDt9W8Qaxp3jw6FJPBFaaxYP8A2RcNHxFdoDuV/wC8CCG/AAd6wIfiPq0Wg6HrV6sccNnfPpfiWAoA0EmQqy5/hUNgkf7eO1XfHFxFr3jjQvD6yLFBpDjXNSu84Nukedi7uxY5z0OOa4+5kuNV0HUp7eBY9R+IWoLDZW7pxFZxDHnMvrsyxI/vKaAOr1Dxd4ntLbxRp8Rt5da0eZb+3XyuLvTyd2FH94AMpIzyAOpzWlp/jiWfxnpcUksb6B4gsFm0uXaAUnUZeNj6kHPPcADvXJS6vbabrureJoiz6V4T04aHZFjlr66OAVY9WAO0EevzDvUWk+HZxP4M8C7iLjTZP7e1WVOPszbiUhQjhcsxBAxwM96AO31bxBrGnePDoUk8EVprFg/9kXDR8RXaA7lf+8CCG/AAd6wIfiPq0Wg6HrV6sccNnfPpfiWAoA0EmQqy5/hUNgkf7eO1XfHFxFr3jjQvD6yLFBpDjXNSu84Nukedi7uxY5z0OOa4+5kuNV0HUp7eBY9R+IWoLDZW7pxFZxDHnMvrsyxI/vKaAOr1Dxd4ntLbxRp8Rt5da0eZb+3XyuLvTyd2FH94AMpIzyAOpzWlp/jiWfxnpcUksb6B4gsFm0uXaAUnUZeNj6kHPPcADvXJS6vbabrureJoiz6V4T04aHZFjlr66OAVY9WAO0EevzDvUWk+HZxP4M8C7iLjTZP7e1WVOPszbiUhQjhcsxBAxwM96AO31bxBrGnePDoUk8EVprFg/wDZFw0fEV2gO5X/ALwIIb8AB3rAh+I+rRaDoetXqxxw2d8+l+JYCgDQSZCrLn+FQ2CR/t47Vd8cXEWveONC8PrIsUGkONc1K7zg26R52Lu7FjnPQ45rj7mS41XQdSnt4Fj1H4hagsNlbunEVnEMecy+uzLEj+8poA6vUPF3ie0tvFGnxG3l1rR5lv7dfK4u9PJ3YUf3gAykjPIA6nNaWn+OJZ/GelxSSxvoHiCwWbS5doBSdRl42PqQc89wAO9clLq9tpuu6t4miLPpXhPThodkWOWvro4BVj1YA7QR6/MO9RaT4dnE/gzwLuIuNNk/t7VZU4+zNuJSFCOFyzEEDHAz3oA7fVvEGsad48OhSTwRWmsWD/2RcNHxFdoDuV/7wIIb8AB3rAh+I+rRaDoetXqxxw2d8+l+JYCgDQSZCrLn+FQ2CR/t47Vd8cXEWveONC8PrIsUGkONc1K7zg26R52Lu7FjnPQ45rj7mS41XQdSnt4Fj1H4hagsNlbunEVnEMecy+uzLEj+8poA6vUPF3ie0tvFGnxG3l1rR5lv7dfK4u9PJ3YUf3gAykjPIA6nNaWn+OJZ/GelxSSxvoHiCwWbS5doBSdRl42PqQc89wAO9clLq9tpuu6t4miLPpXhPThodkWOWvro4BVj1YA7QR6/MO9RaT4dnE/gzwLuIuNNk/t7VZU4+zNuJSFCOFyzEEDHAz3oA7fVvEGsad48OhSTwRWmsWD/ANkXDR8RXaA7lf8AvAghvwAHesCH4j6tFoOh61erHHDZ3z6X4lgKANBJkKsuf4VDYJH+3jtV3xxcRa9440Lw+sixQaQ41zUrvODbpHnYu7sWOc9DjmuPuZLjVdB1Ke3gWPUfiFqCw2Vu6cRWcQx5zL67MsSP7ymgDq9Q8XeJ7S28UafEbeXWtHmW/t18ri708ndhR/eADKSM8gDqc1paf44ln8Z6XFJLG+geILBZtLl2gFJ1GXjY+pBzz3AA71yUur22m67q3iaIs+leE9OGh2RY5a+ujgFWPVgDtBHr8w71FpPh2cT+DPAu4i402T+3tVlTj7M24lIUI4XLMQQMcDPegDt9W8Qaxp3jw6FJPBFaaxYP/ZFw0fEV2gO5X/vAghvwAHesCH4j6tFoOh61erHHDZ3z6X4lgKANBJkKsuf4VDYJH+3jtV3xxcRa9440Lw+sixQaQ41zUrvODbpHnYu7sWOc9DjmuPuZLjVdB1Ke3gWPUfiFqCw2Vu6cRWcQx5zL67MsSP7ymgDq9Q8XeJ7S28UafEbeXWtHmW/t18ri708ndhR/eADKSM8gDqc1paf44ln8Z6XFJLG+geILBZtLl2gFJ1GXjY+pBzz3AA71yUur22m67q3iaIs+leE9OGh2RY5a+ujgFWPVgDtBHr8w71FpPh2cT+DPAu4i402T+3tVlTj7M24lIUI4XLMQQMcDPegDt9W8Qaxp3jw6FJPBFaaxYP8A2RcNHxFdoDuV/wC8CCG/AAd6wIfiPq0Wg6HrV6sccNnfPpfiWAoA0EmQqy5/hUNgkf7eO1XfHFxFr3jjQvD6yLFBpDjXNSu84Nukedi7uxY5z0OOa4+5kuNV0HUp7eBY9R+IWoLDZW7pxFZxDHnMvrsyxI/vKaAOr1Dxd4ntLbxRp8Rt5da0eZb+3XyuLvTyd2FH94AMpIzyAOpzWlp/jiWfxnpcUksb6B4gsFm0uXaAUnUZeNj6kHPPcADvXJS6vbabrureJoiz6V4T04aHZFjlr66OAVY9WAO0EevzDvUWk+HZxP4M8C7iLjTZP7e1WVOPszbiUhQjhcsxBAxwM96AO31bxBrGnePDoUk8EVprFg/9kXDR8RXaA7lf+8CCG/AAd6wIfiPq0Wg6HrV6sccNnfPpfiWAoA0EmQqy5/hUNgkf7eO1XfHFxFr3jjQvD6yLFBpDjXNSu84Nukedi7uxY5z0OOa4+5kuNV0HUp7eBY9R+IWoLDZW7pxFZxDHnMvrsyxI/vKaAOr1Dxd4ntLbxRp8Rt5da0eZb+3XyuLvTyd2FH94AMpIzyAOpzWlp/jiWfxnpcUksb6B4gsFm0uXaAUnUZeNj6kHPPcADvXJS6vbabrureJoiz6V4T04aHZFjlr66OAVY9WAO0EevzDvUWk+HZxP4M8C7iLjTZP7e1WVOPszbiUhQjhcsxBAxwM96AO31bxBrGnePDoUk8EVprFg/wDZFw0fEV2gO5X/ALwIIb8AB3rAh+I+rRaDoetXqxxw2d8+l+JYCgDQSZCrLn+FQ2CR/t47Vd8cXEWveONC8PrIsUGkONc1K7zg26R52Lu7FjnPQ45rj7mS41XQdSnt4Fj1H4hagsNlbunEVnEMecy+uzLEj+8poA6vUPF3ie0tvFGnxG3l1rR5lv7dfK4u9PJ3YUf3gAykjPIA6nNaWn+OJZ/GelxSSxvoHiCwWbS5doBSdRl42PqQc89wAO9clLq9tpuu6t4miLPpXhPThodkWOWvro4BVj1YA7QR6/MO9RaT4dnE/gzwLuIuNNk/t7VZU4+zNuJSFCOFyzEEDHAz3oA7fVvEGsad48OhSTwRWmsWD/2RcNHxFdoDuV/7wIIb8AB3rAh+I+rRaDoetXqxxw2d8+l+JYCgDQSZCrLn+FQ2CR/t47Vd8cXEWveONC8PrIsUGkONc1K7zg26R52Lu7FjnPQ45rj7mS41XQdSnt4Fj1H4hagsNlbunEVnEMecy+uzLEj+8poA6vUPF3ie0tvFGnxG3l1rR5lv7dfK4u9PJ3YUf3gAykjPIA6nNaWn+OJZ/GelxSSxvoHiCwWbS5doBSdRl42PqQc89wAO9clLq9tpuu6t4miLPpXhPThodkWOWvro4BVj1YA7QR6/MO9RaT4dnE/gzwLuIuNNk/t7VZU4+zNuJSFCOFyzEEDHAz3oA7fVvEGsad48OhSTwRWmsWD/ANkXDR8RXaA7lf8AvAghvwAHesCH4j6tFoOh61erHHDZ3z6X4lgKANBJkKsuf4VDYJH+3jtV3xxcRa9440Lw+sixQaQ41zUrvODbpHnYu7sWOc9DjmuPuZLjVdB1Ke3gWPUfiFqCw2Vu6cRWcQx5zL67MsSP7ymgDq9Q8XeJ7S28UafEbeXWtHmW/t18ri708ndhR/eADKSM8gDqc1paf44ln8Z6XFJLG+geILBZtLl2gFJ1GXjY+pBzz3AA71yUur22m67q3iaIs+leE9OGh2RY5a+ujgFWPVgDtBHr8w71FpPh2cT+DPAu4i402T+3tVlTj7M24lIUI4XLMQQMcDPegDt9W8Qaxp3jw6FJPBFaaxYP/ZFw0fEV2gO5X/vAghvwAHesCH4j6tFoOh61erHHDZ3z6X4lgKANBJkKsuf4VDYJH+3jtV3xxcRa9440Lw+sixQaQ41zUrvODbpHnYu7sWOc9DjmuPuZLjVdB1Ke3gWPUfiFqCw2Vu6cRWcQx5zL67MsSP7ymgDq9Q8XeJ7S28UafEbeXWtHmW/t18ri708ndhR/eADKSM8gDqc1paf44ln8Z6XFJLG+geILBZtLl2gFJ1GXjY+pBzz3AA71yUur22m67q3iaIs+leE9OGh2RY5a+ujgFWPVgDtBHr8w71FpPh2cT+DPAu4i402T+3tVlTj7M24lIUI4XLMQQMcDPegDt9W8Qaxp3jw6FJPBFaaxYP8A2RcNHxFdoDuV/wC8CCG/AAd6wIfiPq0Wg6HrV6sccNnfPpfiWAoA0EmQqy5/hUNgkf7eO1XfHFxFr3jjQvD6yLFBpDjXNSu84Nukedi7uxY5z0OOa4+5kuNV0HUp7eBY9R+IWoLDZW7pxFZxDHnMvrsyxI/vKaAOr1Dxd4ntLbxRp8Rt5da0eZb+3XyuLvTyd2FH94AMpIzyAOpzWlp/jiWfxnpcUksb6B4gsFm0uXaAUnUZeNj6kHPPcADvXJS6vbabrureJoiz6V4T04aHZFjlr66OAVY9WAO0EevzDvUWk+HZxP4M8C7iLjTZP7e1WVOPszbiUhQjhcsxBAxwM96AO31bxBrGnePDoUk8EVprFg/9kXDR8RXaA7lf+8CCG/AAd6wIfiPq0Wg6HrV6sccNnfPpfiWAoA0EmQqy5/hUNgkf7eO1XfHFxFr3jjQvD6yLFBpDjXNSu84Nukedi7uxY5z0OOa4+5kuNV0HUp7eBY9R+IWoLDZW7pxFZxDHnMvrsyxI/vKaAOr1Dxd4ntLbxRp8Rt5da0eZb+3XyuLvTyd2FH94AMpIzyAOpzWlp/jiWfxnpcUksb6B4gsFm0uXaAUnUZeNj6kHPPcADvXJS6vbabrureJoiz6V4T04aHZFjlr66OAVY9WAO0EevzDvUWk+HZxP4M8C7iLjTZP7e1WVOPszbiUhQjhcsxBAxwM96AO31bxBrGnePDoUk8EVprFg/wDZFw0fEV2gO5X/ALwIIb8AB3rAh+I+rRaDoetXqxxw2d8+l+JYCgDQSZCrLn+FQ2CR/t47Vd8cXEWveONC8PrIsUGkONc1K7zg26R52Lu7FjnPQ45rj7mS41XQdSnt4Fj1H4hagsNlbunEVnEMecy+uzLEj+8poA6vUPF3ie0tvFGnxG3l1rR5lv7dfK4u9PJ3YUf3gAykjPIA6nNaWn+OJZ/GelxSSxvoHiCwWbS5doBSdRl42PqQc89wAO9clLq9tpuu6t4miLPpXhPThodkWOWvro4BVj1YA7QR6/MO9RaT4dnE/gzwLuIuNNk/t7VZU4+zNuJSFCOFyzEEDHAz3oA7fVvEGsad48OhSTwRWmsWD/2RcNHxFdoDuV/7wIIb8AB3rAh+I+rRaDoetXqxxw2d8+l+JYCgDQSZCrLn+FQ2CR/t47Vd8cXEWveONC8PrIsUGkONc1K7zg26R52Lu7FjnPQ45rj7mS41XQdSnt4Fj1H4hagsNlbunEVnEMecy+uzLEj+8poA6vUPF3ie0tvFGnxG3l1rR5lv7dfK4u9PJ3YUf3gAykjPIA6nNaWn+OJZ/GelxSSxvoHiCwWbS5doBSdRl42PqQc89wAO9clLq9tpuu6t4miLPpXhPThodkWOWvro4BVj1YA7QR6/MO9RaT4dnE/gzwLuIuNNk/t7VZU4+zNuJSFCOFyzEEDHAz3oA9P17xt4c8L3MVtrWqw2c0qeYiOrHcucZ4B7isn/AIW54C/6GS2/74f/AOJrD+J8evPrFkdJi1x4vs/znTrGGdd249S/IPsK4R4/GMcbSPD4uVFBLE6Ra8AfjQB6v/wtzwF/0Mlt/wB8P/8AE12tfL+t3t3deCdZ87U5r+0utFtb+H7RbRRPExvljI+QeiHv3r6goAwNe8beHPC9zFba1qsNnNKnmIjqx3LnGeAe4rJ/4W54C/6GS2/74f8A+JrD+J8evPrFkdJi1x4vs/znTrGGdd249S/IPsK4R4/GMcbSPD4uVFBLE6Ra8AfjQB6v/wALc8Bf9DJbf98P/wDE12tfL+t3t3deCdZ87U5r+0utFtb+H7RbRRPExvljI+QeiHv3r6goAwNe8beHPC9zFba1qsNnNKnmIjqx3LnGeAe4rJ/4W54C/wChktv++H/+JrD+J8evPrFkdJi1x4vs/wA506xhnXduPUvyD7CuEePxjHG0jw+LlRQSxOkWvAH40Aer/wDC3PAX/QyW3/fD/wDxNdrXy/rd7d3XgnWfO1Oa/tLrRbW/h+0W0UTxMb5YyPkHoh796+oKAMDXvG3hzwvcxW2tarDZzSp5iI6sdy5xngHuKyf+FueAv+hktv8Avh//AImsP4nx68+sWR0mLXHi+z/OdOsYZ13bj1L8g+wrhHj8YxxtI8Pi5UUEsTpFrwB+NAHq/wDwtzwF/wBDJbf98P8A/E12tfL+t3t3deCdZ87U5r+0utFtb+H7RbRRPExvljI+QeiHv3r6goAwNe8beHPC9zFba1qsNnNKnmIjqx3LnGeAe4rJ/wCFueAv+hktv++H/wDiaw/ifHrz6xZHSYtceL7P8506xhnXduPUvyD7CuEePxjHG0jw+LlRQSxOkWvAH40Aer/8Lc8Bf9DJbf8AfD//ABNdrXy/rd7d3XgnWfO1Oa/tLrRbW/h+0W0UTxMb5YyPkHoh796+oKAMDXvG3hzwvcxW2tarDZzSp5iI6sdy5xngHuKyf+FueAv+hktv++H/APiaw/ifHrz6xZHSYtceL7P8506xhnXduPUvyD7CuEePxjHG0jw+LlRQSxOkWvAH40Aer/8AC3PAX/QyW3/fD/8AxNdrXy/rd7d3XgnWfO1Oa/tLrRbW/h+0W0UTxMb5YyPkHoh796+oKAMDXvG3hzwvcxW2tarDZzSp5iI6sdy5xngHuKyf+FueAv8AoZLb/vh//iaw/ifHrz6xZHSYtceL7P8AOdOsYZ13bj1L8g+wrhHj8YxxtI8Pi5UUEsTpFrwB+NAHq/8AwtzwF/0Mlt/3w/8A8TXa18v63e3d14J1nztTmv7S60W1v4ftFtFE8TG+WMj5B6Ie/evqCgD5kooooAKKKKACiiigAooooA9S8cW8Wg+ONC8QLGssGruND1K0xk3CSZ2Nt7lTnPU44rj7mO40rQdSgt51k1H4e6gs1lcO/EtnKM+SzeuzKkD+6or0LVvD+saj48OuyQQS2mj2D/2RbtJxLduDuZ/7oAAX8QR3rAh+HGrS6Doei3rRyQ3l8+qeJZy4LTyZDLFj+JS2AT/sZ70AZkukW2pa7q3hmIMmleLNOGuWQYYaxuhglmHVQTtJPr8o71FpPiKcz+DPHW0m41KT+wdViTn7S24hJkA4bDKSSM8HHaug1Dwj4nu7bxRqEQt4ta1iZbC3bzeLTTwduVP94gsxAxyQeoxWlp/geWDxnpcskUaaB4fsFh0uLcCXnYYeRh6gDHPcgjvQBS8cW8Wg+ONC8QLGssGruND1K0xk3CSZ2Nt7lTnPU44rj7mO40rQdSgt51k1H4e6gs1lcO/EtnKM+SzeuzKkD+6or0LVvD+saj48OuyQQS2mj2D/ANkW7ScS3bg7mf8AugABfxBHesCH4catLoOh6LetHJDeXz6p4lnLgtPJkMsWP4lLYBP+xnvQBmS6RbalrureGYgyaV4s04a5ZBhhrG6GCWYdVBO0k+vyjvUWk+IpzP4M8dbSbjUpP7B1WJOftLbiEmQDhsMpJIzwcdq6DUPCPie7tvFGoRC3i1rWJlsLdvN4tNPB25U/3iCzEDHJB6jFaWn+B5YPGelyyRRpoHh+wWHS4twJedhh5GHqAMc9yCO9AFLxxbxaD440LxAsaywau40PUrTGTcJJnY23uVOc9TjiuPuY7jStB1KC3nWTUfh7qCzWVw78S2coz5LN67MqQP7qivQtW8P6xqPjw67JBBLaaPYP/ZFu0nEt24O5n/ugABfxBHesCH4catLoOh6LetHJDeXz6p4lnLgtPJkMsWP4lLYBP+xnvQBmS6RbalrureGYgyaV4s04a5ZBhhrG6GCWYdVBO0k+vyjvUWk+IpzP4M8dbSbjUpP7B1WJOftLbiEmQDhsMpJIzwcdq6DUPCPie7tvFGoRC3i1rWJlsLdvN4tNPB25U/3iCzEDHJB6jFaWn+B5YPGelyyRRpoHh+wWHS4twJedhh5GHqAMc9yCO9AFLxxbxaD440LxAsaywau40PUrTGTcJJnY23uVOc9TjiuPuY7jStB1KC3nWTUfh7qCzWVw78S2coz5LN67MqQP7qivQtW8P6xqPjw67JBBLaaPYP8A2RbtJxLduDuZ/wC6AAF/EEd6wIfhxq0ug6Hot60ckN5fPqniWcuC08mQyxY/iUtgE/7Ge9AGZLpFtqWu6t4ZiDJpXizThrlkGGGsboYJZh1UE7ST6/KO9RaT4inM/gzx1tJuNSk/sHVYk5+0tuISZAOGwykkjPBx2roNQ8I+J7u28UahELeLWtYmWwt283i008HblT/eILMQMckHqMVpaf4Hlg8Z6XLJFGmgeH7BYdLi3Al52GHkYeoAxz3II70AUvHFvFoPjjQvECxrLBq7jQ9StMZNwkmdjbe5U5z1OOK4+5juNK0HUoLedZNR+HuoLNZXDvxLZyjPks3rsypA/uqK9C1bw/rGo+PDrskEEtpo9g/9kW7ScS3bg7mf+6AAF/EEd6wIfhxq0ug6Hot60ckN5fPqniWcuC08mQyxY/iUtgE/7Ge9AGZLpFtqWu6t4ZiDJpXizThrlkGGGsboYJZh1UE7ST6/KO9RaT4inM/gzx1tJuNSk/sHVYk5+0tuISZAOGwykkjPBx2roNQ8I+J7u28UahELeLWtYmWwt283i008HblT/eILMQMckHqMVpaf4Hlg8Z6XLJFGmgeH7BYdLi3Al52GHkYeoAxz3II70AUvHFvFoPjjQvECxrLBq7jQ9StMZNwkmdjbe5U5z1OOK4+5juNK0HUoLedZNR+HuoLNZXDvxLZyjPks3rsypA/uqK9C1bw/rGo+PDrskEEtpo9g/wDZFu0nEt24O5n/ALoAAX8QR3rAh+HGrS6Doei3rRyQ3l8+qeJZy4LTyZDLFj+JS2AT/sZ70AZkukW2pa7q3hmIMmleLNOGuWQYYaxuhglmHVQTtJPr8o71FpPiKcz+DPHW0m41KT+wdViTn7S24hJkA4bDKSSM8HHaug1Dwj4nu7bxRqEQt4ta1iZbC3bzeLTTwduVP94gsxAxyQeoxWlp/geWDxnpcskUaaB4fsFh0uLcCXnYYeRh6gDHPcgjvQBS8cW8Wg+ONC8QLGssGruND1K0xk3CSZ2Nt7lTnPU44rj7mO40rQdSgt51k1H4e6gs1lcO/EtnKM+SzeuzKkD+6or0LVvD+saj48OuyQQS2mj2D/2RbtJxLduDuZ/7oAAX8QR3rAh+HGrS6Doei3rRyQ3l8+qeJZy4LTyZDLFj+JS2AT/sZ70AZkukW2pa7q3hmIMmleLNOGuWQYYaxuhglmHVQTtJPr8o71FpPiKcz+DPHW0m41KT+wdViTn7S24hJkA4bDKSSM8HHaug1Dwj4nu7bxRqEQt4ta1iZbC3bzeLTTwduVP94gsxAxyQeoxWlp/geWDxnpcskUaaB4fsFh0uLcCXnYYeRh6gDHPcgjvQBS8cW8Wg+ONC8QLGssGruND1K0xk3CSZ2Nt7lTnPU44rj7mO40rQdSgt51k1H4e6gs1lcO/EtnKM+SzeuzKkD+6or0LVvD+saj48OuyQQS2mj2D/ANkW7ScS3bg7mf8AugABfxBHesCH4catLoOh6LetHJDeXz6p4lnLgtPJkMsWP4lLYBP+xnvQBmS6RbalrureGYgyaV4s04a5ZBhhrG6GCWYdVBO0k+vyjvUWk+IpzP4M8dbSbjUpP7B1WJOftLbiEmQDhsMpJIzwcdq6DUPCPie7tvFGoRC3i1rWJlsLdvN4tNPB25U/3iCzEDHJB6jFaWn+B5YPGelyyRRpoHh+wWHS4twJedhh5GHqAMc9yCO9AFLxxbxaD440LxAsaywau40PUrTGTcJJnY23uVOc9TjiuPuY7jStB1KC3nWTUfh7qCzWVw78S2coz5LN67MqQP7qivQtW8P6xqPjw67JBBLaaPYP/ZFu0nEt24O5n/ugABfxBHesCH4catLoOh6LetHJDeXz6p4lnLgtPJkMsWP4lLYBP+xnvQBmS6RbalrureGYgyaV4s04a5ZBhhrG6GCWYdVBO0k+vyjvUWk+IpzP4M8dbSbjUpP7B1WJOftLbiEmQDhsMpJIzwcdq6DUPCPie7tvFGoRC3i1rWJlsLdvN4tNPB25U/3iCzEDHJB6jFaWn+B5YPGelyyRRpoHh+wWHS4twJedhh5GHqAMc9yCO9AFLxxbxaD440LxAsaywau40PUrTGTcJJnY23uVOc9TjiuPuY7jStB1KC3nWTUfh7qCzWVw78S2coz5LN67MqQP7qivQtW8P6xqPjw67JBBLaaPYP8A2RbtJxLduDuZ/wC6AAF/EEd6wIfhxq0ug6Hot60ckN5fPqniWcuC08mQyxY/iUtgE/7Ge9AGZLpFtqWu6t4ZiDJpXizThrlkGGGsboYJZh1UE7ST6/KO9RaT4inM/gzx1tJuNSk/sHVYk5+0tuISZAOGwykkjPBx2roNQ8I+J7u28UahELeLWtYmWwt283i008HblT/eILMQMckHqMVpaf4Hlg8Z6XLJFGmgeH7BYdLi3Al52GHkYeoAxz3II70AUvHFvFoPjjQvECxrLBq7jQ9StMZNwkmdjbe5U5z1OOK4+5juNK0HUoLedZNR+HuoLNZXDvxLZyjPks3rsypA/uqK9C1bw/rGo+PDrskEEtpo9g/9kW7ScS3bg7mf+6AAF/EEd6wIfhxq0ug6Hot60ckN5fPqniWcuC08mQyxY/iUtgE/7Ge9AGZLpFtqWu6t4ZiDJpXizThrlkGGGsboYJZh1UE7ST6/KO9RaT4inM/gzx1tJuNSk/sHVYk5+0tuISZAOGwykkjPBx2roNQ8I+J7u28UahELeLWtYmWwt283i008HblT/eILMQMckHqMVpaf4Hlg8Z6XLJFGmgeH7BYdLi3Al52GHkYeoAxz3II70AUvHFvFoPjjQvECxrLBq7jQ9StMZNwkmdjbe5U5z1OOK4+5juNK0HUoLedZNR+HuoLNZXDvxLZyjPks3rsypA/uqK9C1bw/rGo+PDrskEEtpo9g/wDZFu0nEt24O5n/ALoAAX8QR3rAh+HGrS6Doei3rRyQ3l8+qeJZy4LTyZDLFj+JS2AT/sZ70AZkukW2pa7q3hmIMmleLNOGuWQYYaxuhglmHVQTtJPr8o71FpPiKcz+DPHW0m41KT+wdViTn7S24hJkA4bDKSSM8HHaug1Dwj4nu7bxRqEQt4ta1iZbC3bzeLTTwduVP94gsxAxyQeoxWlp/geWDxnpcskUaaB4fsFh0uLcCXnYYeRh6gDHPcgjvQBS8cW8Wg+ONC8QLGssGruND1K0xk3CSZ2Nt7lTnPU44rj7mO40rQdSgt51k1H4e6gs1lcO/EtnKM+SzeuzKkD+6or0LVvD+saj48OuyQQS2mj2D/2RbtJxLduDuZ/7oAAX8QR3rAh+HGrS6Doei3rRyQ3l8+qeJZy4LTyZDLFj+JS2AT/sZ70AZkukW2pa7q3hmIMmleLNOGuWQYYaxuhglmHVQTtJPr8o71FpPiKcz+DPHW0m41KT+wdViTn7S24hJkA4bDKSSM8HHaug1Dwj4nu7bxRqEQt4ta1iZbC3bzeLTTwduVP94gsxAxyQeoxWlp/geWDxnpcskUaaB4fsFh0uLcCXnYYeRh6gDHPcgjvQBS8cW8Wg+ONC8QLGssGruND1K0xk3CSZ2Nt7lTnPU44rj7mO40rQdSgt51k1H4e6gs1lcO/EtnKM+SzeuzKkD+6or0LVvD+saj48OuyQQS2mj2D/ANkW7ScS3bg7mf8AugABfxBHesCH4catLoOh6LetHJDeXz6p4lnLgtPJkMsWP4lLYBP+xnvQBmS6RbalrureGYgyaV4s04a5ZBhhrG6GCWYdVBO0k+vyjvUWk+IpzP4M8dbSbjUpP7B1WJOftLbiEmQDhsMpJIzwcdq6DUPCPie7tvFGoRC3i1rWJlsLdvN4tNPB25U/3iCzEDHJB6jFaWn+B5YPGelyyRRpoHh+wWHS4twJedhh5GHqAMc9yCO9AFLxxbxaD440LxAsaywau40PUrTGTcJJnY23uVOc9TjiuPuY7jStB1KC3nWTUfh7qCzWVw78S2coz5LN67MqQP7qivQtW8P6xqPjw67JBBLaaPYP/ZFu0nEt24O5n/ugABfxBHesCH4catLoOh6LetHJDeXz6p4lnLgtPJkMsWP4lLYBP+xnvQBmS6RbalrureGYgyaV4s04a5ZBhhrG6GCWYdVBO0k+vyjvUWk+IpzP4M8dbSbjUpP7B1WJOftLbiEmQDhsMpJIzwc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7/8M72/8wm+0W81k3H679DiJWgqBLb//RelF7xINZlNMbU2STpGEMuQhHFqnGcLVN+DuId3DMvtL5DuLE9XtToKW3f5//TU3e+b91BHE+gRhPSe6Ub/TKjx8/6rb2bz4VAqtvP5SdEBGC4P379xEd5LWzyqPk+jPo8BNUF+1/6eMDtVBIB8JOqECqmE1ZJmZpSCCZWuOdUVVij0y0QIz2fZBEEohN6vemUEtv/z7/m5q88/96BGKMZXfKN2KFloHVvRd4+6+zNJ9186F0VLGDiENBxEW3/0I6ZJ1HZIVoYshEmoGihkhDzHSrUNldEcSr3zff/9icbx9K15Yvu68ujjF78ufN059uXdn/LQv66dXmls9OIFYq6LH1e3PgRbd/CuHzv6nJO/+3FohHPYuZMY675Ds8Jl2x/zpO81kWH2JFehNRESOJg3jIqK4Ujya1VauIqry18BMQivzF+Y+CjEwcT/tnypFqCs3Hu4aIhnhYTC0gLwj3crbUNQsJVslUBVFYjNlFLymyiiscZggXnzcv/rM5//dWu/Qu5LMVm5FmOMyL/YtGYCz5NK7fXBfj08fT/sefc7b0+Wca+6X/tN9ue+zFqBRPOkbuzkWLa9JIY/uvgzKfdfOhdGgC9AEJZCJ/ueeONAn1PhQGaRYUA39lSULGkomFn631binyl+V/0e2fWuNqx9/QhcCnRFSfVCB/WVSnJG5q7PrNY3ZkIJVMJM2Oqugwe3u+ufpj8/X7Vv89f7K5/Pk2moimefd5u4mFuBfLvWZ4wGFe7D9j7OHTuH6pi0W3f59/7k1zpucTiHEpGlm8h6pJ+6+DNZ9186F0XAP4GzJCQkGiAW0XW7FBXijUFDY8o6SF6H4sLEOOCF2RH/uy9fj9L7r9Uy+qGtUd5HUnwCBJpVDjqgv9VWVR72zSo2fMKD45OJFMlE385anxl9fb8KG0oGTiu/PN5ZdbaYjII4eFzA+7/K5ZIS7tHyAZ4yCfxvVLRSy6/fv8oyvNnJhPIGpsGlM87pUxPjs7G2McNvYfKHoT5tOLJTKXzqdXog1pPikJhIWKL+XXKyWDz9L9L71+qQhkfUhDapY0VYZS1APokIlZGmYz3k9lVTIxqjUnCpn4ajezhahhSEMZo3gkeiQTZTYkfex/PJ+m9bv09u/zz11ptvR8ApGL0Mig4IOeLAcp+w8UvQnz6cUSmSvgQ1kcPqQeM4d11G8hHULkMVTGpnhPMSas9JqNl4nov+dPr6OGgTESIRO/Xm0V5L0zV2LHkKH2H0yiEsnJIn7C+l3B+Gb9EA1mtsR8ApF2f2+piFLo0cm9ll0D++8yyTnmk2l004vms/TwXuvzp7oXXb9c3RkYKUJovmjARFaQF0MKY8gMh+wYW7sJZNwYzYdM3NTcdB1f59h/RjND/S66/cPK558bzGzp+QRifj9mqHjcIuijNkMGlXz7r8Bhk/msmA8XGErXGz4kP7aSRkkgNXiLQ+0BwfHItw8X4Z+TXHT7Z1YylRuSTnqaaiWThdcKQyZS0jFmNAAsY3n36+aX/5WPkmOrEnpDkXSewlLYbLfu3lB8+ZfN5d9uN9p/sOjl07p+Ofqi27/PP9rPzImj/szNzCx8OBMwARM4QgKSgJwY0pArPT+fLdHPX9LkkM9WpKHU4b1mxfQj9uU7iBefN08vtwqvWJCG+sYN85c1hbn3gzjsyO44wVV3sf8Knxnqt1sjzjGBewlYIN6LyAYmcOwECCNxisgFCQXigqxGzCC2komA4GENUcOwIZhETJHIIlvDUn7I0VLkx77FVlaP0/91MZb8X6H5qBF+IyfqJWTiSLOCBNG+3/6+/cBNIeOyNGQrNjIrZGKWPjLL4UOOZf8hnXv5gGhkxY00K+rXqyawHwELxP24eS8TOCICRCBCK3BaUmlDsk/yTiEojLWj1GThJ0pY5C/OfxRkoQnevYmoIfWlb2VTC1Rl/vw1NiPNuu/7a+5Iloln/9x+FhEtKE3Dd3D04iCJLBMxU9Qwm3U523+Fzwz1260R55jAvQQsEO9FZAMTWACBEIjEGDjdHOTrlXcTBhEX4X8BVTh8itJzIQ0BHraks0wkf4xZVyDKYZZx5AxpmpFmcZKRGLnjSLNwG4mRO440C7eRGLnjSLNwO1v9xhGdMIExBCwQx1CyjQkcO4FeleYg4rFX27jz+/TpEz9GjxCUNOR9AMKHfCmWv3o3QDIRm5FmOKwcWfrmxz+3X88mPbSMNOvuPnLHkWYr8D9z/XaJOccEeglYIPZicaYJLI+Ag4j1NymXV6OdM5Y05FuGSH828pd0yMQwH2l2a89vqPy6ufo9MvoTvGvIv/qCE1zx8mJetjOg7X9HpJdPsBpZcSPNwq0TJrAfAQvE/bh5LxM4OgKEkfS1MKkHdAOnqDQJ/fxuvHqolw5jq4z1qKvwE+Us8hfnPwqyxETWBMwr4sMoBAuZp0KNU4khE7MZmzDADGNNRQqzggDfrP7wdfPsw6CMi2koQzOdcSjpgxNc4TAv9l/nw9ZccZPXb64Lp01gPAELxPGsbGkCR02AawxagauLtKBeQ5Rk5LzjPSeVQVsVdOS1xby18BNlLvIX5z8KsrgEal5RQ0kHTWWlFIodZpkoM0lDaQ7M2J1dskzU7UFweP/z5u3udwy6MjGkIROceSWRf8VMZ5xkacgqrnCYF/sngCrp3Mundf3munDaBMYTOHv9+vV46z0sP378uMde3sUETOChBJALCER0gC7/BPyYiYJ6IB99wPxWHDLplXykA0oCGUGCTOyJLCIWpfkKP3EaRf7i/EdBFpegglDwVJBqVudPDjVILWiVqtRWKpGaUib1TpPQDYNy2Epdk6O63vzr9ifv0XkK9cmSj11/+X79UUN0YXwfe/u8+PN2djMLv9R8/mT7kW0tSMO355unP12vFv/Zfw+ff/yAUsP6LerAq+si8ObNm6YFskBsitfOTWAmAtJ8RJjQBBySyz8/zluXgBXtGH7i7JfuPwqygoREHuqfsqAaWUImRuloBghBFnKoTWyyuAyzLBCVWci4LA1v9+KRaJKJ5PdIn2yd0vafYGw2O4F4J2fXeam4aeq3cO3VdRGwQFxXfbo0JtCGwNLDe63Pvw31ub1maYj6JzqoM9ipxGuZmKUhW8OsXyamCGIujGTcy7/WZjFjj0z85b+1qGH2mdP2f03jrkCcvn4zdKdXR8ACcXVV6gKZwNQElh7ea33+U/M+gL9COrCKpC60IDKRM1PUkESoRvASPpSaLGXigEA8QAlP85A3ArFV/Z4m1ZMpdWuB6EkqJ9OUXND1EpAmkD6glFrlkqMS561oBYQCUSW9phab9IwyVgtURb5WF+S/KM7iVl+9esULAzxzpOJ4MYBKVPVRa9RC/jGVqCn92oqqFWN20VwWnOAKh4uDsOITdv2uuHIXXbQ/LfrsffImYAIQ0CyEeMlMq9IQ2kqOtAIBJNIhJUmjGPIq9uEn2Mph5Gt1Qf6jIAtNCDjVFMxzQSQT2RrqUHWdbUhLJqIUMZPDwsCrhyLg+j0UeR+3TsCTVOp8vNUETMAE1kvAj5gPW7c3j5gPexY++kIJ+BHzQivOp20CJmACJmACJmACSyXgR8xLrTmftwlsCTgCVG8HwxGa4juCvW6YBcIrm2t+IDvMpxeIM03ABE6HgCepnE5du6QmYAJbAkzs4C09Zgbw8XBerEQFdrmQySYMMNNLfl0b55iACZjAiglYIK64cl00EzCBOwQkDWNGMNuYsVHIxJCGmvPBxGHN/F2xTCSYmuc1o4xZAhybMNAqcFhlpotWSbAaCrvwEx6KfPsPMk6YwDETsEA85trxuZmACUxDoJCG+lhM/kCMZCLahURMB8ag+EDMKmUiAo4FRGJNGgKhAlkNFYhWZjXkI2kW4WJfrYafqLkiX7vYf/BxwgSOk4AF4nHWi8/KBExgMgLom4ga+juCXaz6zlHoPK2GCsxb+VYOIVXey5S8i00KIsZqcYgiX6v2X1DyqgkcGwELxGOrEZ+PCZjAxASYZcKSpaGeI0vlKCioaCLaJX9iGgN0jNSPviOIE3mb+BQP6k6yj+iggn8Ume9lDqnAsOGUQZfFX+EnylTk2383yBqsnDCB4yEw33cQ6RKMOHuX/NOnT/V97d98KgRW2348i7lS62zqzNJF7REqi2gZ8TCGDhRM4UbSMIYsZBALeqgwi9Wljz+U98WLF+hCqWGKQ8wVONLQSDqIQYB8igwuyKCVSWDPQ3kyEdbwKfwEnyLf/sU5+Cy9/fj8oyp7E434tP4O4nwCkac8vHrSy25M5o8fP+pm9m8+FQKrbT8WiJVaZ1MSiIU0JBCIaiFshlWWiWSihyQNEUxooBi4diqxXyYuffwBgmTf+/fvKT6rqD3gVFRgXT6GH1xpsX9UAigKDoKz9Pbj879u5QP/NeKzHoEYY/EAwMFsyLLt3gu8/Q8S3G0wn3Xy2QnEq9833//YnA+Gt66L/mX3OZcxZk/+vHn60y2wBfvfCcRCGmadxzWb2FjIRMoc0hAzSaXK7sFo6f2LglAEBxEPFQRdevvx+cdQ0JtoxKe1QDzqdxD1u7G9uCfJtP86RvNZCp+Lz5sX/9mc/3sjCdg9bfLZis1IMxzmZfH+Ly70TBnNl18xpIxIQPQf4S5aO9KQhQSrZEodYoNoQEfqJUVWccXj18xnv/Sx9S8iWwQF0cqKmKr4AFHpCLiq7FrVVlGFT95a+Ak4Rb79R2Q6ED0ocWzt50Enj7HPv06sNZ/60bV1vl9SYSh5aH9g0GFMGVMMbOy/Dsp8Vszn7fnm6o/N1+9b/ff8yeby59toItLw3eftJhbigiz3muEBh3lZvP+3bxltUYdIGZWLG3p6BHpIMoW/LHoCSCLKTg4KiR0ZiCQTSbOj9FCYkVh6/6IIaGLJQbCwCiL+Kk1CozfFJ80iVrFVxsJS+JE9f4t8+w96wFl6+/H5RzvvTbTm03vQx2fOJxBzZxhz3g9Vk/Zfp2o+K+bDU+Mvr7fhQ2lBycR355vLL7fSEJFHDguZH3b5XbNCXAaxxftH393caqJLkIBSQgwyDNyIHonCQhqySY+eMaP7IIlCJgaZSCy9f1EQystfaEhGi4aEINoutmIDQwCiucMGUBAQ5LAMOS5KRX7sy1b7X3r78fmrkQ/9bc1n6LiPzJ9PIGpsHXO6jDsYn52djTEOG/sPFL0J8+nFEplL50NBChn3ajcljKhhSEMVFpko7SiZKLMhaRh8VuA/S0PGawSKAoQ8L0a7hEwkk9V4KzHMeD+PvSQTMxall95+eiUa5aVcFLBX20U0UVt7pWSAsv86n6W3H59/NPXeRGs+vQd9fOZ8ApFBZGRQ8EFPlgOB/QeK3oT59GKJzKXziYKETET/PX96HTWMrZEImfj1aqsg2WvkskT/hTQMkcdQE5skE4EQ0rDXbEgmLr39cP6U3eHDgkN0iiK/RfjT18eg3U2soH81rd8usUly5hOIY0Ks3GXq0c8eZbP/OjTzWTefonTIuDGab/vQ+e7rhoWfodVl+efqwsBCFwjNF+Xizh6NGDKR/DFmOGTHcKK98mpv+mjHN4f36uG91nyW3n58/r39PWe2vv7mY02Ynk8g6parfupIbH3Upm7Wu9X+e7FEpvkEit7Eovm8+3Xzy//KR8lFMfWGIpl5Ckths926e0Px5V82l3+73bh0/8xKJjYWkk7Xe0QemSy8KhcykTKPMeM1mFs6u9Si2w8oKIRQkFBZpJlYja2kUdLTvn1o/xBgWXT78fnv6rD2p3X91o79iG1H/ZmbR5TLu5rAaRHgO4gXnzdPL7cKr1jiGzfMX9YU5t4P4rAju+MEV91l0f4lASkU0pCRml/+kOjhL2lyyGcr0lDq8F6zYvpFF5dzTMAETGDpBCwQl16DPn8T2Eb7fvv79gM3hYzL0pCt2MiskIlZGsoshw/hu3T/FKHQfETL+I0Q/rIpy8SRZitrc8FBQlmxw4h5xFZKjYDmYRmvaYYNwVRiikQW2RqW8hOUivzYVwax9WT9BygnTOCoCFggHlV1+GRMYE8CmjuSZeLZP7efRUQLSvPxHRy9OEgiy0TMFDXMZt2TWLR/3l2JqCFyRN/KRuugVPLnr7EZaTbyffMuxuPMISDaVWlDsk/yTiFYiqMdpSYLP1HYIl8q0/6DjxMmcJwELBCPs158ViawD4Es49h/SPONNOuewcgdR5rN5l96LqRhfkBMOstETmmM2coEokrNX2RfN4jYK+8mDCLaf7cjOMcEjoGABeIx1ILPwQSmJCB99uOf269nkx5aRpp1dx+540izGfx/+vSJH3NHCEoa8jyUIBZfWuWvno1KJmIz0gyH3dNedE6vSnOQL+q0NZ84kBMmcDwELBCPpy58JiawJ4HtDOVfN1e/37M77xp2p7AU++AEVzjMy9L9R1kkDfmWIdKHTP6SDpn4ULOwX0cinjI7iEiFRjA1Krc1nziQEyZwJAQsEI+kInwaJrA/Ab6J/eHr5tmHQZkY01CGZjpzbElDnOAKh3lZun/KkqUh8yr48A3BQuapMOUiy8RsxiYMMMNYUzF61WQGteg0QTJ9rU3qGd1McZQmod9ZjlcP9dJhbJWxnrwXfoJJkW//QS8QOWECR0XAAvGoqsMnYwL7EHj/8+bt8+2OXZkY0pAJzrySyL9ipjN7ZWnIKq5wmJel+0fNKGooaUiETPpGscMsE2UmaSixCAeM2SXLRO2eEa0gTXmRLCCSFtRkFElGShfvcaqk2qqgGnDy1sJPkCny7V+cg48TJnBsBM5ev37d9Jw+fvzY1L+dm8BJE/jX7U+Wo/MU6hMQPnb95fv1Rw3RhfF97O3z4s/b2c0s/FLz+ZPtR7a1IA3fnm+e/nS9Wvy3SP//+EEp0HMoGNRMFnbkoH4Ia6mYyBdtRbgouEU+0gfNlC/kbCWKRo70TYFo0auUmsKig8UBMsxEQT2TDwfmd1M6Jn2TDyuUNPRIkIk9TMArJoWfYFLk239ujUHJCRMYT+DNmzfjjfewtEDcA5p3MYGjIZAEos6pkHFZGuaTzjKR/Lo0zDsuzP9OIObzJy2Rp99cRtawhEwMSyQRooeFHIJq2Kz7ci7NR0kpuBDx49R1CVjRjuEneNp/1tZdPgHKCRMYT6C1QJzvp/bGl9mWJmACexMg/sd3rQkEEk18+dfBWcyaYoxM/OW/tahh9zQW7T9LQ9QPATOpwJ1KvJaJWRpSfJmhlrBcsUyU/KWAqnEpY0UEBYR8bUXqwQ0sRATJlCWbJLILP/LG3yLf/oOMEyZwtAQcQTzaqvGJmcAIAp0I4oh9TsnkJoJYSENW9eQUpSKxAhQJoLwq3YMkQt+girBZZTTR4b16eK81n1PqkC7rlARaRxA9SWXK2rIvEzCBIyTw6tUrQoA8UybuxYNRrveKfhH0QinmH1OROkQXkskmRcUwZhfNZcEJrnB4hMXc+5Si1PKgVYqfV6We4VAJHxZ+4nyKfPsPMk6YwDET8CPmY64dn5sJmMAEBDTLBIkjXVh4lExka+gY6cLCTDIRhYRZnrZSmC1xVcXRU2DOX6vBilUWMSGASlpiUZYo5rxKZvgJFOyS87Vq/8HHCRM4TgJ+xHyc9eKzMoFxBPyIuc7p5hFz3cpbTcAETGBxBPyIeXFV5hM2ARMwARMwARMwgWUT8DuIy64/n70JmMB+BPgOoj7pUtkdA30CumLjTSZgAiawSgIWiKusVhfKBExgkIBmnzDRhI8/88Jcr0wkk00YYKaXFAfdeYMJmIAJrJGABeIaa9VlMgET6CMgaRgzmjFhxkkhE0Maas4KE581c9kysY+o80zABFZLwAJxtVXrgpmACQSBQhrqYzf5AzeSiYoaxnRmDIoP3FgmBlInTMAE1k3As5jXXb8u3doJeBZzvYZ3s5h5TKxXCQkHohTjAyvalZAhilCiUDl8t4VFH3YJ9yhF5KM+l82HWj59+hSbnDABEzCB+Ql4FvP8zH1EEzCBVRFAz7HkT2TrOTKaj3IqKKhoIrowfyJbohBjzPQdRJzI26oAuTAmYAIm0CEwXwSRG3fdfHfOYVTGvffr9l/naD7r5OMIYr1eO99BLOKFvTFFXOZ4Iau7kGIZU8xHdv/KNLpp8+kyyTnmk2l00+bTZUJO6wjifL+kgjps+sEI++9tQJFpPoGiN7F0Pr2FcmYmUEhDAoGoQOr9xYsXWSZmacgPhxA4ZODSM+iKTFx6+/H556bSTZtPl0nOMZ9Mo5tuzad7xEly5osgMuwyGXCPk9bPnv748aO+r/2bTy+BlbefXQTx6vfN9z825097Adxmftk+KR1l9uTPm6c/3e64YP+7CGIhDbPOIzKB+NPQhEykzAzl/EUaYsZLh6Qruwcjjz+BojdhPr1YItN8AkVvwnx6sawngthbvHqmbt/rNo/Zav91euazFD4Xnze//G/z/Mnm8ud+/Yc0fPd583V3gzbG7OVfNp9e3ZZ+8f4vLvT4IktDFQ8JyCKZ2JWGstFLiuyrOKIE5b0vvdziG0i5fw2Auc42H/OpE6hvdfup8xmzdb4IYkwkHHNasuEZEKPw2dkZq/dGEO2/DtZ81slnF0Gs6L+8ibggC7FGlkImZrNiE8aVrXnTMfrfRRAJPyAQUXgxMZkcdB4hQ9ThFsduQSbyf5GDamTHmPisaCJDU+RoX/cvcRj6az5DZNx+IODre7d5jNE/64kg6vFNl8JQzkNfWLT/IZLKN58V8+Hh8pfXtzLuxX+2+u/d+ebyy3XUEOn29nybw0Lmh11+16wrDQVt8f5Rc+e7wt+dfaKXC9F/EoWFNIxHz5jRfZCPOFE0sduW3L+6THKO+WQa3bT5dJnkHPPJNGZLzzdJRWPrmIIpMqzA4Rh72dh/nZX5rJsPpStk3KtftiXO0lAEkInSjpKJMhuShtpFf5fun6ghElDPkbnekEbzscoPq6AFQybqcXO8lRhmxVyWTIa0+1cBpFg1nwJIsWo+BZBi1XwKIPOszicQGYJHBgW7j2/GsLD/OiXzWTefKF3IOPTf86fXUcPYGomQiV+vtsFF9hq5LNF/IQ0VC6S8DDWxSTKRzJCGvWZDMtH9q95+zMd8RMDX93pL2I9P3efeW+cTiGNCxLzfo/v7Pcpj/3Vo5rNuPkXpkHFjNN/2ofP1o9fCwT2ry/KPOmFgoQuE5oviEZlAI4ZMJH+MGQ7ZMZxor7zam/b41oslMs0nUPQmzKcXS2SeMp+AMG1iPoGY3+8ZKgMhRt5lHtpaz7d/8znZ9vPu1+0s5njLsLclaDYJm4ZmOmsvvaHILObLv926Wbr/9+/fdyeaIPLIZOG1wpCJlDmUH9cbbHrNeA3mls4u5fGnAFKsmk8BpFg1nwJIsWo+BZB5Vv/fPIfxUUzABJoSYG4yH6N5ermdg1IsSMPzf2+YksJnbvhHglUyi4Ud2R0nmuZcbF20f0lASoTm40rz7NkzZB+r/CVNDvmsIg2lDu81i9nQBSWvmoAJmMBqCFggrqYqXZDTJUC077e/b2cuFzIuS0O2YiOzQiZmaSizHD4E69L9U4RC8xE45FeV+cumLBNHmp1uU3PJTcAETobAfI+YTwapC2oCByAQc0f0QWwCgfzTUsxQLj6IE+damEW+Eov2n9892D5UvvkgIvFC0gjEWKLUO6vr7yZ2zfg+K++Sh7ETJmACJrA+Ao4grq9OXaLTJSAZpzAhFBQORBGSn5eRZnkXpUfuONJsNv/6fgKa79u3b8xTyQ+ISZNDPlt1PmPM5LB7/s4xARMwgdUQcARxNVXpgpjANQHps3txjDTr+hm540izGfwXP4sXc5ZjwrJkIkoxn8xIs7yL0yZgAiawGgKOIK6mKl2Q0yWwnaH86+bq93sI8K5hdwpLsQ9OcFVMYVm6/ygjmo/nxXzLUJ/T4i9pcsgPGxIjzfIuTpuACZjAyghYIK6sQl2cUyTAN7E/fN08+zAoE2MaytBMZ6hJGuIEVzjMy9L9U5as+fhIDR++4edfmadCEDHLxGzGJgwww5hdslmG47QJmIAJrJKABeIqq9WFOi0C73/evH2+LXJXJoY0ZIIzryTyr5jpzF5ZGrKKKxzmZen++ZCNooaShpqqTAEVO8wyUWaShhKLmOk7OFkmkpP5OG0CJmAC6yNw9vr166al+vjxY1P/dm4CJ03gX2dRfHSeQn3K4WPXX75ff9Qwz1DePi/+vP0gIgu/1Hz+ZPuRbS1Iw7fnm6c/Xa8W/y3S/z9+UAr0HNNKmH2ShR05CMGYsIIc1Nb8aytISQKHecIyW5nyTE7xwmLByqsmYAIm0JrAmzdvmh7CArEpXjs3gcYEkkDUkQoZl6VhPpUsE8mvS8O848L87wRiPn/SEnn6zWVUI0vIxLBEGurbN+QQd8Qmi8swc8IETMAEDkXAAvFQ5H1cE1gCgY5A1ElLxr38a/mBm6JIyMRf/luLGhb2sboY/3cFYpaGevtQJdqpxGuZmKUhW8PMMjFq3wkTMIFjIGCBeAy14HMwgWMlMCAQj/V0Zz+vG4FYSENWeQGx0ILIRM6PwKHOMlSjnj7zrJl8y8TZq9AHNAET6CdggdjPxbkmYAJbAhaI9XawE4ivXr3Sp60JB0oa5p0KmcimkIbZLMtE3kEsvq2YLZ02ARMwgRkItBaI/lD2DJXoQ5iACRySgGaZIPuIGnbPQ1/JZqtihyS6rySyl6Y8IxM1SaXrxzkmYAImsCYCnqSyptp0WU6PgCOI9Tq/ecRct/JWEzABE1gcgdYRRH8HcXFNwidsAiZgAiZgAiZgAm0JWCC25WvvJmACx0mAtxJ5+7B+bhjo5cW6mbeagAmYwPoIWCCur05dIhMwgRoB5qnwliEzV549e8bXDXtlIplswgAzvaRY8+htJmACJrA6AhaIq6tSF8gETGCAgKThxcUFX8lmRjNWzDgpZGJIQ81ZwQxjdrFMHIDqbBMwgXUSsEBcZ726VCZgAplAIQ35/WXmI3/79o05y5iFTFTUUNKQTRhgph9rtkzMPJ02ARNYPQHPYl59FbuAqybgWcz16vV3EOt8vNUETGCxBDyLebFV5xM3ARM4DgJ8B5FFUUN9ClHPkYkOcoJ6dqxooqKGCjeyCYN4SVHfQcSJvB1HyXwWJmACJtCKwHwRRMZc/VbVfkW593cL7L8O1nzWyccRxHq9dr6DiDTkCbIeIrNr72+rkC9pGEMWwpEFKTl0NPevITLKNx/zqRDw9b0Ch01DfFpHEOf7JRWG2qYfjLD/egszn3XzqZfOWyFQSEMCgahA+sWLFy+yTMzSkF9eJnDIwCVNWZGJ7l/1NmY+5lMnUN/q9lPn02jrfBFEhl3e8t6jGHxmgr1+/PhR39f+zaeXwMrbzy6CePX75vsfm/PB8NY1mC+7r/6NMXvy583Tn25xLtj/LoJYSMOs84hsIf40NGleM5ciSo40xIzny6Qruwcjjz+BojdhPr1YItN8AkVvwnx6sawngthbvHqmbt/rNo/Zav91euazFD4Xnze//G/z/Mnm8ud+mYg0fPd583V3gzbG7OVfNp+292XXy+L9X1zo8UWWhiobEpBFMrErDWWjlxTZV3FECcqhhz43zO7/3/2rzsh8zKdOoL7V7afOZ8zW+SKIBHIe+oiZZ0CMwmdnZ5Tk3gii/dfr23zWyWcXQazov7yJuCALsUaWQiZms2ITxpWtedMx+t9FEAk/MPig8OIlQnLQeYQMUYdbHLsFmcj/RQ6qkR01tYWtiiYyNEWO9nX/Eoehv+YzRMbtBwK+vnebxxj9s54Ioh7fdCkM5TxUTdr/EEnlm8+K+fDU+MvrWxn34j9b/ffufHP55TpqiHR7e77NYSHzwy6/a9aVhoK2eP+oufNd4e/OPmGQQSai/yQKC2moSCEEMKP7IB9xomiisOS/7l+ZRjdtPl0mOcd8Mo1u2ny6TGbImW+SisbWMUVSZFiBwzH2srH/OivzWTcfSlfIuFe/bEucpaEIIBOlHSUTZTYkDbWL/i7dP1FDJKCeI3O9IY3mY5VfSckyUY+b463EMCvmsmQypN2/CiDFqvkUQIpV8ymAFKvmUwCZZ3U+gcgQPDIo2H18M4aF/dcpmc+6+UTpQsah/54/vY4axtZIhEz8erUNLrLXyGWJ/gtpqFgg5WWoiU2SiWSGNOw1G5KJ7l/19mM+5iMCvr7XW8J+fOo+9946n0AcEyLm/R7d3+9RHvuvQzOfdfMpSoeMG6P5tg+drx+9Fg7uWV2Wf9QJAwtdIDRfFI/IBBoxZCL5Y8xwyI7hRHvl1d60x7deLJFpPoGiN2E+vVgi85T5BIRpE/MJxPx+z1AZCDHyLvPQ1nq+/ZvPybafd79uZzHHW4a9LUGzSdg0NNNZe+kNRWYxX/7t1s3S/b9//7470QSRRyYLrxWGTKTMofy43mDTa8ZrMLd0dimPPwWQYtV8CiDFqvkUQIpV8ymAzLP6/+Y5jI9iAibQlABzk/kYzdPL7RyUYkEanv97w5QUPnPDPxKsklks7MjuONE052Lrov1LAlIiNB9XmmfPniH7WOUvaXLIZxVpKHV4r1nMhi4oedUETMAEVkPAAnE1VemCnC4Bon2//X07c7mQcVkashUbmRUyMUtDmeXwIViX7p8iFJqPwCG/qsxfNmWZONLsdJuaS24CJnAyBOZ7xHwySF1QEzgAgZg7og9iEwjkn5ZihnLxQZw418Is8pVYtP/87sH2ofLNBxGJF5JGIMYSpd5ZXX83sWvG91l5lzyMnTABEzCB9RFwBHF9deoSnS4ByTiFCaGgcCCKkPy8jDTLuyg9cseRZrP51/cT0Hzfvn1jnkp+QEyaHPLZqvMZYyaH3fN3jgmYgAmshoAjiKupShfEBK4JSJ/di2OkWdfPyB1Hms3gv/hZvJizHBOWJRNRivlkRprlXZw2ARMwgdUQcARxNVXpgpwuge0M5V83V7/fQ4B3DbtTWIp9cIKrYgrL0v1HGdF8PC/mW4b6nBZ/SZNDftiQGGmWd3HaBEzABFZGwAJxZRXq4pwiAb6J/eHr5tmHQZkY01CGZjpDTdIQJ7jCYV6W7p+yZM3HR2r48A0//8o8FYKIWSZmMzZhgBnG7JLNMhynTcAETGCVBCwQV1mtLtRpEXj/8+bt822RuzIxpCETnHklkX/FTGf2ytKQVVzhMC9L98+HbBQ1lDTUVGUKqNhhlokykzSUWMRM38HJMpGczMdpEzABE1gfgbPXr183LdXHjx+b+rdzEzhpAv86i+Kj8xTqUw4fu/7y/fqjhnmG8vZ58eftBxFZ+KXm8yfbj2xrQRq+Pd88/el6tfhvkf7/8YNSoOeYVsLskyzsyEEIxoQV5KC25l9bQUoSOMwTltnKlGdyihcWC1ZeNQETMIHWBN68edP0EBaITfHauQk0JpAEoo5UyLgsDfOpZJlIfl0a5h0X5n8nEPP5k5bI028uoxpZQiaGJdJQ374hh7gjNllchpkTJmACJnAoAhaIhyLv45rAEgh0BKJOWjLu5V/LD9wURUIm/vLfWtSwsI/Vxfi/KxCzNNTbhyrRTiVey8QsDdkaZpaJUftOmIAJHAMBC8RjqAWfgwkcK4EBgXispzv7ed0IxEIassoLiIUWRCZyfgQOdZahGvX0mWfN5Fsmzl6FPqAJmEA/AQvEfi7ONQET2BKwQKy3g51AfPXqlT5tTThQ0jDvVMhENoU0zGZZJvIOYvFtxWzptAmYgAnMQKC1QPSHsmeoRB/CBEzgkAQ0ywTZR9Swex76SjZbFTsk0X0lkb005RmZqEkqXT/OMQETMIE1EfAklTXVpstyegQcQazX+c0j5rqVt5qACZjA4gi0jiD6O4iLaxI+YRMwARMwARMwARNoS8ACsS1fezcBEzhOAryVyNuH9XPDQC8v1s281QRMwATWR8ACcX116hKZgAnUCDBPhbcMmbny7Nkzvm7YKxPJZBMGmOklxZpHbzMBEzCB1RGwQFxdlbpAJmACAwQkDS8uLvhKNjOasWLGSSETQxpqzgpmGLPLimUiUVJ0cDBDGbPEaswBJwc4rDJTR1tJsBoKu/ATHop8+w8ySphPL4eCklfnJ2CBOD9zH9EETGBuAoU05PeXETffvn1jzjKnEjIR7YJelDRkEwaY6ceaVywTESgsIFKtkIZAqEBWQwUCgdWQj6RZhIt9tRp+oo6LfO1i/+ajhnFv+wlQTsxMwAJxZuA+nAmYwNwE0DcRNZQ01PduFBTMMjFLQ2lKzlUfuMkyEYdzl6Hl8UIl6yBaDRWYt4JCPy0jeRebFESM1eJki3yt2n9QMp96+wlQTsxMwAJxZuA+nAmYwNwE+A4iS5aGXJAQKFI5WSZyqUYvhjTEADNdvUImytvcZWh5PMk+ooMK/lFkfjCGX47pVYFhwxmBLoubwk+ccpFv/2JoPiPbT4ByYmYC830HkS6h36rar4T3/m6B/dfBms+WD+9O8UNqnz51WS2Vj7+D2K3LnNP5DiJqjzChIoUY9v62CvmShjFkIYNYuJ5l3zm91PZzUwbK++LFC3Sh1DDFIeYKHGlEJB3EIEA+eyD4IIPgJoE9D+XJRFjDp/Bz437L0/7NZ+/2s/T+1ej8W38HcT6ByEMZXjiI8eKhiR8/ftR3sX/zqRD48f49b0htdj+nu+lrS0ttPxaIlVpnUxKIhTQkEIhqIWyGVZaJZKKHJA0RTGigGLh2KrFfJi61/SR6kn3v37+n+GSjZoBTUYF1+Rh+4gj2n+WR+Tyo/Sy9fzU6//UIxBiLY7wYmYAslvcKRPuv8zxRPl++EC/aXu7y0icQl8pnJxCvft98/2NzPhjeui78l91X/8aYPfnz5ulPt8gW7H8nEAtpmHUe12xiYyETKXNIQ8wklSq7B6Oltp8owC5o6iCfg3xZxVZuDyLYHC2ILtCu/Sy9fzU6/9YC8ajfQaQJcpcf7W/yhP3XkS6aD+3m5eXly646rJf5IVuPh8/F582L/2zO/72RBOwWgny2YjPSDId5Wbz/iws9U0bz5VcMKSMSEP1HOIfaRBqykGCVTKlDbBANXDXzXBYev2Y++6WPp/3o/InwEdRBKytiquIDRFs1FMejeW3VKnzy1sJPwCny7T8i0+Y/pv1EQxqZOLb+NfK0w6z1+ceBKok/VbZNu4mhpOgP9/qn0TCm3GsmA/uvgzoRPk82Gz5bssddxaL5vD3fXP2x+fp9q/+eP9lc/nwbTUQavvu83cRCXJDlXjM84DAvi/f/9i2jLeoQKaNycUNPjaOHJFP4y6LYCYkoOzkoJHZkIJJMJM2Oup6FGYlFtx8VBE0sOQgWckDEX6VJaPSm+DIWq9gqY2Ep/Miev0W+/Qc9ITKfSvtZev9qff7Ry6ZNzCcQi85wbzEeqibtv450/Xy+fHn5/fse0lDcFs2Hp8ZfXm/Dh9KCkonvzjeXX26lISKPHBYyP+zyu2aFuIwWtXj/6LubW010CRJQSohBhoEb0SNRWEhDNunRM2Y0DyRRyMQgE4lFtx+VgvKSgIZktGhICKJdYis2MAQgmjtsAAUBQQ7LkOP2bz7RKvZrP0vvX63PX11s8r/zCUSNrWMKwLiD8dnZ2RjjsLH/QNGbWCsfQoZMpNzOTd7NNugt+5jMpfOhjIWMe7WbEkbUMKShOCATpR0lE2U2JA0zuqX7z9KQ8RpxowAhz4u5eoVMJJNVScNsxvtVrEomZixKL7399EpAyku5KGBc3bN2jGiitvZKyQBl/+ZT3Hs8qP0svX+1Pv/oaNMm5hOIDCIjg4IPerIcOOw/UPQm1seHx2DbFw17S/vwzKXziRKHjEP/PX96HTWMrZEImfj1aqsg2WvkskT/hTQMkcdQE5skE4EQ0rDXbEgmLr39cP6UvbiE92oahw8BFaFT0r3a1+FVyEzbfqwfQDrzMp9A5Gb03rLR0/To517LroH9d5nknDXxefLLL+jCu6/J5bLuk146n6LMyLgxmm/70Hkvjsvyj/phYKGKQ/MFLu7sUTwsXPI1+Iwxw6FCa+Fn0e2nV+JQIpWxVzs+KPxj/71SKRqP+dT5AGrR/WuG84+2NG1iPoGoW6762XOLoI/a1M16t9p/L5bIXAMfPUp+xNc0g0Y3sWg+737d/PK/8lFyUUa9oUhmnsJS2Gy37t5QfPmXzeXfbjcu3T+zkhE0Iel0PUb3kMnCY9OQiZR5jBnxoVs6u9Si20+vBNQ1m8LFVtIo6WnfPrT/TCA/wTd/yMSy6P5FKVqff4CaNnHUn7mZtqj2ZgIrJsB3EC8+b55ebhVescQ3bpi/rCnMvR/EYUd2xwmuusui/UsCUiikISM1v/wh0cNf0uSQz1akodThvWa6kHcpOccETMAEVkPAAnE1VXkCBeEbJfzSF9dyfhZlxBsLJ0DkuohE+377+/YDN4WMy9KQrdjIrJCJWRrKLIcPOcbS/VOEQvMROOQjwPxlU5aJI82uua/lv+AgoazYVcQ8YivFRUDzsI/XNMOGYCoxRSKLbA1L+Qk8RX7sK4PYav/mTxugPxbtJxqSEzMTsECcGbgPNwUBvlTHBem337giTeFuDT40dyTLxLN/bj+LiBaU5uM7OHpxkESWiZgpapjNukQW7Z93VyJqiBzRt7LROiiV/PlrbEaajXxfvovxOHMIiHZV2pDsk7xTCJbiaEepycJPFLbIl8q0f/MZ2X4ClBMzE7BAnBm4DzcdAT7AQUDx27dtQLHzTth0h1mSpyzjOO8hzTfSrFvykTuONJvNv/RcSMP8gJh0lomc0hizlQlElZq/EbzJQb5eeTdhENH+zX/obgEyXg5IwALxgPB96CkI8NyZgCLPnX/77crPnXdEpc9+/HP79WzSQ8tIs+7uI3ccaTaD/0+fPvFj7ogeSUOehxLE4kur/NWzUclEbEaa4bB72ovO6VVpQ5dtBxEdBI0Qspp96/az6M613JO3QFxu3fnM7xI4P//67h1y6BeiiScWUNzOUP51c/X7XSCdNd417E5hKaxwgisc5mXp/qMskoZ8yxDpQyZ/SYdMfKhZ2K8jEU+Zu2/C9V7+HUSk3nufrUs+ms+0fNbRy5ZVCgvEZdWXz/YeAt8RiDx6vrp6xSc57rFdz2a+if3h6+bZh0GZGNNQhmY6w0LSECe4wmFelu6fsmRpyLwKPnxDsJB5Kky5yDIxm7EJA8ww1lSMXjWZQS06jQrU1+aknlE5FEdpEvqd3IgbSRjFVhnryXvhJ5gU+fYf9ITIfOrtJxqSE7MRsECcDbUPNCsBfmfuw8uXPHe+nPWwhznY+583b3ffoe/KxJCGTHDmlUT+FTOdOeMsDVnFFQ7zsnT/qBlFDSUNiZBJ36BRUIRZJspM0lBiEQ4Ys0uWido9I1pBmvIiWUAkLajnyJKMlC7e41RJtVVBR+DkrYWfIFPk2784m8/I9hOgnJiNwNnr16+bHuzjx49N/du5CYwiwHQWvrC9e7C4+fFj1C6LMPrX7U+Wo/MU6tOJ87HrL9+vP2qILozvY2+fF3/ezm5m4Zeaz59sP7KtBWn49nzz9Kfr1eK/Rfr/x7au0XMoGNRMFnbkoH4I26iYyBdtRbgouEU+ly40U76Qs5UoGjnSNwWiRa9SagqLDhYHyPCQFPVMPhyY303pmPRNPqxQ0tAjQSb2MAGvmBR+gkmRb/+5NULJfOrtJxqSE0HgzZs3kW6RsEBsQdU+j5UA1zN+c3ZNMwySQBT0QsZlaZhrJctE8uvSMO+4MP87gZjPn7REHupnW/DdEjIxLJFEiB4WcgiqFeIyzFaTkOajpBScQoGIH6euS8CKdgw/wcf+s7Y2H25FHtR+oiE5kQm0Foh/ygdz2gRWToDXqnZvVq24mMT/+K41gUCiiS//OjiLWVOMkYm//LcWNeyCWrT/LA1RP1ylpAKzTMzSkOLLDLWE5YploqJZFFA1LmWsiI6AkK+tSD24gYWIF5myZJNEduFH3vhb5Nt/kFHCfOrtp8Dl1XkIOII4D2cfxQTaEOhEENscZrFebyKIhTRkFX1TaEEJIGkXCswqC9ctJBHXb1QRmauMJjq85/AeTV33A3rS/aDwXuv2s9jRp/mJt44gepJK8yr0AUzABA5L4NWrV4QAeaZM3IsrH9czRb8Qf1wU84+pRDyMTDYpqoExu7Aju+MEVzg8bImmPXqUWm5zeI+cvBUOlfBhtsxnWOTbf4ZTEI5VybVYRcCRPk3+FNzLQQj4EfNBsPugJmAC8xHQLBMusdKFxYElE9kaOka6sDCTTOQKjVmetlKYLXFVxdFTTs5fq8GKVRYxIYBKWmJFlijmvEpm+AkU7JLztWr/5kNLGNN+ApQTMxPwI+aZgftwJjApAT9iruO8ecRct/JWEzABE1gcAT9iXlyV+YRNwARMwARMwARMYNkE/Ih52fXnsz91Ao6QnWoLKL7j2IuBWTi8MqhHur0GG0eg+7k49zQIDI+f0/SvhVP0JJWFV6BP3wRM4MQIaPYME2X4eDUv/KECuwDIZBMGmOkly66Nc0zABLoE3L+CyUwCETGe5/0xcrHESbAJA60yrrHKm+BaJcFqjICFn/BQ5Nt/kFHCfHo5BCXzOQY+0eujXnJCioeuHaNB3hppjRhUaOSsKaFLV8zIpmjMmClkokCRqTk3MfPaMnFNLcFlaUHA/augOp9AZMiGvg5PmsErrge6PGvcZ04TqyEfSbNopGNfrYafKEyRr13s33zUMNx+4i7rmPsXv96mmcLRbpXIioeqLPRQGNPf2R0nqvTIX0eiuHTpYz35Az3CwsgZ0pDJxRiAJX+gxzJxHe3BpZiWgPtXL8+ZBKK+gxDXaa2GCsxbGeK55eW9Gcm72CT5GKtFYYp8rdp/UDIftx/1vuPsX58+feIngPmECh0/y8QsDWnMNONoyVkmhjRkd5zgCofR+FeQQN9H1NDfcVxBhboIR0XA/WuoOmYSiLosEb1Q8A/ppotBrwoMG06a+924JLBa+IlSFfn2L4bm4/ZDG4geJJV8hP2Lk6TPcnqFTCyCYZw5SxE2o++jKUMaSlNGy19HglkmLFkaqpgaPxUUFBbqmgSUyKTsGAgsaUCxihN5WwcZl8IEHk9APcL9q0tyvu8gMjYxjqML4yrFPTHBQo1xjGJEOBjdGNo4S8YyRnwqjAT2XCfIZOBj1Cv8RJGKfPzYf8AhYT5uP8fcv3JbpfMyGnA/SSbnzCK5k20YFrBhIZNRBRvGkGxQpPHJkFJkjl+9NyTZ2n+cai44mQyhHJpxMgyUoL8DJIq8o9iD0bOYC25ePS0CnVnME/evG5qNxofW30GcTyACSrKPIIGGcgZ9rgEVFViXj+Hnpgrs/468Nh+3n6X0LwYEXhwsRB451GBIQykeOnvWQ4zmaCACADEIsBXVSA6JyCTBUyQc5pwHpX/8+FG3b+2foxeXLsoIE8noLBOzNEQ6M+pGwXtkoj9zU69Xb103gSQQm/SvG3qNxodVCURGLgcRHQTVlVt3C5Xbgwg233QxB0FXG0RHIFZigVnxqDFkPRTNQ9Iw4o6FQAwtFfYjE4zsWN4rEJv6Ly5dWeflUoOFU1XUMEdVK7srgnj1++b7H5vz7UPp2vJl9zmdMWZP/rx5+tOtK/u/ZcHDnKuN+WQgRXpWPjuBWOkgj+1fN2VrND60FogzvYMoSmgChjBGcN3RKo4YD0EUBtB1Antt1SqiKm8t/NxUwTaCaP/QKDiYj9sPbSD3IFaPqn8xCnOroM7LmyHUl+QdoyqNWa8YshUbmTFokMkmDCgLxuySp3Fo92j5+yXQWIK23+737jXeP0XTSIg0zK8YcgjqkctbvLsJGdyySqaqGBvxZEd2ZxVXOMynd/F58+I/m/N/b7VL70I+W7EZaYbDvNi/aARG88nNI9IH49O4f0UBH5QYPz48yO2DjGf9JRXGLMlBxnrOUoO70qxKNWoIY1VDfGyVscbrwk8UuMi3/6AnRObj9nO0/Utqjz6LrGGUQMGEiKEZMxpgoGaMTZghE6P7F2aRrwSqKJ60FpuGVmktcdAhm8hv6p9a42rBX6SejggBjkiRpQL5y6Ixk0ScFTnAZEcKIplImh0L4fv2fHP1x+br963+e/5kc/nzbTSRa/a7z9tNLMS9WO41wwMO82L/GaP51JvZAfg07l/0habjQ+5r06ZnFYgw4uxjmNNApkEN7RJbsWH4061w2BB3ZDTUeB2WMVwKSpEf+7LV/oFgPm4/9L6j7V+cGBW0VX83MnFI8400w2EsuIr0mMRD1WRT/5SXRacdcFjlJOnU1KnGOv2VGeMqm/TAHbMgKZlYEOCp8ZfX2/ChtKCu3+/ON5dfbqUhIo8cFjI/7PK7ZoW4jKPYvxS2+Rxp+2ncvyh10/EhOtrkifkmqSDRupORocZ4R6kY2jTSSS9SXwjEmGbBoMZIx9Ml8gs/QaTIxy3RBfs3Hwi4/Rx5/9Ib3AgdluKuTw1YN3hxh3OvGRGyYt4xA4LUUvSIoQSxOsaZs7MzOSGB5YTvIO7nn3PI0pCRjTpVgJBNii9KIGZpWJixylZKd1v2ziSVkImyIWoY0vB2rxuZyJuLWoakT95FafvvMsk55pNpdNMT80mTVJr0r5sCNBp/Wr+DOF8EMQZ3XQBiLAOgRn8SjPv8BaXDh+ZTCAW3H13XCw4348+yw8NIMQXDKN1WJCaZmKWhCovNvWbFI1R2ZJeRQUH2vSOhAnE10dR/cekKkcepxiaeyHMOnKN0cNaC2Uy3zeGhW6aI9hEmfP70OmrYNSOaeB1ivNoqyHtnroQH+w8UvQnz6cUSmS34RCfiKEMd55H9q+n4EHAmT8wUQXR4z+FPrvpclmjBXH0dHnZ4u7gBKIQgrQVZI9WoUW8rG2/mWEgJkU9Or1nhHEvaHq1Orob+cg7Y4JDo40MjiE39K8KaL11FEYaucENmKuN2ayeCWOziVRNYM4FdBLFh/7ph12h8WEkEUQM6o3k3fAjA2EqakW7a8KH9ZwLmD41oh6S1RAs0H4DMz4eDQp4xlENTF7GodshkUdWQM9JM+8ZfheRjtTeBHtVHbXq31jOb+udlGwhEXDPE9A7MlgybGDlZOMkxZjySzsV59+vml//1P0oOMz3aYzVPYYmtkdAbii//srn8W+Rt7D9YmM8Rtp/W/Yvabzo+ROuaPDHrZ24mP3s7NAETWAEBFI/EjWRifJAFAZS/6rKTQFsNdK8ZDleAJYogCcgq5eJKE79AiJImTY7KizSUOrzXDIfhXAneJrz4vHl6uZ2DUixIQ33jhpkWmsLc+0EcdmR3nMSLidmP/ZvP0bafGfpX7gtLSr9uvPByNwujvKCQYJXnrazyxGS38QeXAVb5q1XyWUXUa1U3u+zCauFHBt18+xdn84GA28/x9y+eeGpAUDePdhsJ8jUsjDTDYew7PqF5LdqXA0WC9HgnFcvH+KdHqx45GRbSMClysBlpdnuS/9z82P377e/bD9xoYWLK+5+3+TmTrax2czDDWF/AYXeZyWf+m3e0/0xGafNR25u7/dz0hJEdZ6TZjdeH/b/H+NBYvr3etD5AEOq9Sul6AHQ1DhLYk8kq13Xti1LcjjsDatL+zcfth16w6P5V0X95E2MCy/WFZPfd7Oj+2YyxgtXYND6xxwA93jmWe/vXjio4Fa1xUocmnWWibPhbN8Ph9ZnfCMSuTAlX3Wt2VjMVs7oMquxo/wGHhPlHQxrZMEaabd3ulob967qbjfpvj/GhtX6baZIKrZynHv7MDQ+ACg4xEBT5PE3zPIb8IMx8ED0rbj90BNo8T0s1lQSRRzre7EYXonjIwYxMHq3GXN1sxl5s1WPW6FnjE3oHkcAhI/VDJ6mMOcre/ht+Bqhvkkp8SQRpUnljbKRZl8zIHUea2X+9msynxidNUmGEYckXnUDH1UcvRpMzxkxjSOw+MrHH+NB6ksp87yDCHbKQAjR/GcQZzbkY6N2j2ERNsJVRPixJaKsuD4Uftmop8u1fnG/wbF/bCshkmo/5BIFj6F9qk4wGigUyMqCK+Is0JEbOsKDujxkJVslkU5gpasjue6vD6ClHmFDAj1GRXszpqZhIWAqr8ZN8tipMMcYsh0y65dWXRIiv8PVs0kPLSLPu7iN3HGlm//VqMp97+czcv7o1crQ58wlEEIRAySqwV/ZJvhAkkFLERhcDjYaFn4Bb5Me+GPTKI/uHjPm7/Ry8f9GvOQcNCxI9yETuwgtpSI9Wp1a7lUzEDGNpJvLJxJUGiqjZ1SRUTJ4toIwpFH9Jh0yMYo40u7XnN1R+3Vz9Hhn9CaZZdKewFKY4wRXBv7xsY4H2vyNiPrlhdNMH4ROnMbLjjDQLt8tNzCoQUWnc6ANLoxvjWqRJMNDzN6IaEi6yJF/GxGBJF37I0VLk23/QMx+3n2PuX/R6lmJCLrf1GgRovehCevf255kvLkhkmYiZKlfSUDN88XY9KKzlv3xNUlSVeGFEW0MmZjNFVTGLaGuYFVT4JvaHr5tnHwZlXMzAHZrpjENd2nGCKxzmxf7NRzPcj7P9UDu540zev3JfWFi69UuO+eVMhjPoQF+ZDFusMoppVfE//mpVUpJdWK3PQpA9f+1fb68XHMzH7Yc2cMz9q5hpwamqJXPaEjcaVRkTNCxoGGGT2nZl92j8YxJ68IqSxphDRIL0mN3vtdnbv+quKHUcjv4eWLBhYVUjZ9iQyCRjmOU5Mv++vd283d65Xy+kydGmYoYyr3NpiZnI9d3t33zyDPejaz+7HtKwf+UeeF96j/GhtX6bbxYzcDSKxbCOUmSs0UDWewnHXkhVfzGoFX4Ce5Fv/0FGCfPp5RCUzOewfAqdhz5TF2aUoGpC8WQ9hIEio1ItDBGhLKNaV5CgXJQ0Rk6ViMtJLqywZFCYYYBZJiCZGGOpBFyvjONj1/nSzsxQmeUpohhgFktWltmz/V+3z6S8zQcmh28/u77RsH/lvtcg3VogzjeLmRAuDzgY5vSmEQ+JeFrEcEY+DYVnSTwVop708IhnRjweZcgjgX13+nP4ibHJ/rkY8PSt4GA+bj+L6F/RUKmv7fPmm2fEDBGMCXqIHDYkaOcMGvESBUMHC+0/26w1DRD4aB73UMEzRkZLzOJ5/R0snVnMPCnWE2GZDc0AjSnGMkMavj3fPP3pju/eFfvvxRKZ5hMoehMT89nNYi4ONGX/KlxPvdp6FvOfpj7hQX8anhinZKELgOSgxjLytZWhn3GfC4OuCrJkk0b/wk8cr8i3/yCjhPm4/Rxt/+LdYhZOjy5PNTEskKYLEx0MaZhHCWzIZ6Bg0Y6qXJo6OdoxRxaLvrDc1XzpYoRknKSwLOBiEYQsDSmpzLgbl5nGgQoBRB6/kofaQya+/OvgLGZNMUYm/vLfsdJQB7X/Cnw2mc8B+czQv+qlO7atM0UQGbUdPmT4LjhEayjyaaYOrwYcEuaz7vCwvvNHRaNmaPwhCtUGCsVDZtZDsuEvjQT1o5gi6lAv9MTWpSeKS5coFWTAQjERgipsUMpkymhiJ4K4dFA+fxN4AIGbCGKr/vWAU9nHtHUEcaZZzBqzNH6BQatUiZDkrYxllfBhtsw4i3z7z3ACuPkX7SQoFfluP0FGidZ8EHN6N46+n2faIoDQfJqYzJlI8ZDgfPKUZwYNNCU7sjsCCFcrU4cIaO4YeaaMgObFG5UXDtxzMopy86CuDRYWgSKTTYopKtqqlxRxgiscYubFBEwAAu5fQ81gpkfMetwTTze0GnECVlk0ljG+kw4pQ5oRLa9SkvATpcIs52vV/s3H7Yc2AASWY+5f6rz0a93HSybq2ajasKShikBaSkh/w6yMjUXrX36C6qMQFDzGtFwmsMBNWGQmUNmGtGQi4hJuclgYeNUETpOA+9dQvc/0iHno8M43ARMwgYKAZOI0kzAK114tCPgRcwHEqydF4OYR80IL3foRswXiQhuGT9sEVk6A2SdEB3uDYVFynkETbnQ8LIA8OGGB+GBk3mFFBCwQq5U50zuI1XPwRhMwARMoCSD76uqQHTA4WXWIgEYfl9TurmOA2d08r5mACdxPwP0LRhaI9zcUW5iACZjA8RDQ7BPerM8zdYrTi/k9mCGj2aUw8KoJmEAvAfevwDKTQESM53lzvI3OEifBprjNZVxjlTeptZUEq3GjXPgJD0W+/QcZJcynl0NQas0nDuRELwHxj17fayPFQ9eO0aDXTCMGDnu3Lj1Tl66Y0UxxmHFSyESBiqnfPKbXzGXLxKXXvs+/NQH3r4LwfAKRITvuYkkzrsX1QJcHjfuMZayGfCTNgrHOW6vhJwpT5GsX+zcfNYyDt5+oCCd6Caia8gdusllWPF09FJb0dybq4kTeIn8dieLSpY/d5A/cSCYycoY0ZF4zBmDJH7ixTFxHe3AppiXg/tXLcyaByFDF4eM6rdVQgXkrQ7y+WyF5F5skH2O1KEyRr1X7D0rmc9j2ExXhRC8BfwexF0tk8hQloob+DmJgccIEJiHg/jWEcSaBKNlHdFDBP6QbHy1j+mGvCgwbTpr73SxuCj9RqiLf/sXQfI6k/URFODFEgD6LiC8+l10Ew2jVLEXYjL6fP5GtcOPQURaaz0QcliwNVUyNnwoKCgujJQkokUlhMRBY0oBiFSfytlAUPm0TmJyAeoT7VxfsfJ+5YWxiHEcXKpbDEMY9McFCjXGMYsQXGd3I5ywZy5CPVBgJ7LlOkMnAx6hX+IkiFfn2L87mcyTthwZJk47qeGji3p8GWbr/DISyMBpM+x3E1fChPQOHRcQYQika42QGSJrxkEE1mhxDK4tU4x1Lf+bmDg6vnBiBzmduJu5fNzgbjT+r+g6iZB9BAkYuuDFacQ2oqMC6fAw/N1VwLSsj3/7F2Xx6bz+inczDh6cYvBsXx3po4sePH/VdFu2fCgIOCia3WHIYAULTSPEAIeshRnM0EAGAgMNWxBM5JCKTxKL5qCDFpYsywkQyOsvELA25IWfUjYa3U4l3ZaIFYm4lTp8agSQQm/SvG56Nxp9VCURGLgcRueAVHG6a0Pam33zWyofK1bU8qntkgpEFy3sF4qL9S8FTzN6fy6NoGEQwDLOshwKjpGHEHQuBuGg+xaUr67xcarBAQ6Ayycrum51AvPp98/2Pzfn2oXRt+bL76uIYsyd/3jz96daV/d+yILh7tTGfDKRIz8pnJxArHeSx/eumbI3Gn9YCcaZ3EEWJe1mGMEZw3dEqWhDjvsIA8ehEW7WKaMhbCz83VbCNINo/NAoO5nMk7ScqYmSCa7ya/Uj7h5odj39GYZ4kqPPy5gn1JXnHqEpj1iuGbMVGZgwaZLIJA0qNMbvkaRza/aFACvvj4UPRNBIiDfMrhpww4ySXN8LhnC1YWEiwSqaGUGzEUy8psoorHObCXnzevPjP5vzfW+3Su5DPVmxGmuEwL/YvGoHRfHLziPTB+DTuX1HAByVajz9jTuZPY4ymsmHMYvzCG2M9fzW4K82qVCMjoA6nIT62yljXy8KP7Plb5Nt/0BMi8zlg++GqHE/6osXWE5wtGqhuE1uX7l9qjz6LrGGUQMGEiKEZMxoECmzCDJkYBAqzyFdi0XwYFbla8Bepp+JAgBJRZKlA/rJozCQRZScHmOwIPclE0uxY3Hi8Pd9c/bH5+n2r/54/2Vz+fBtN5Jr97vN2EwtxL5Z7zfCAw7zYf8ZoPvVmdgA+jfsXfaH1+JO724TpWQUijDj1GOY0kGlQQ7vEVmwY/nQrHDbEHRkNdZEIyxguRaTIj33Zav9AMJ8Dth9ar1rpyL8PVZNL9y8sVNBW/d3IRAqVpWGgG2kW9iQWzYfysqg4AYdVGgmdmhFVY53+ygxubNIDd8yCpGSibOIvT42/vN6GD6UFdf1+d765/HIrDRF55LCQ+WGX3zUrxKX9AyRjNJ8jbT+N+xelbj3+RF+bNjHfLGYkWncyMtQY7ygSQ5tGOulF6guBGNMIGNQY6Xi6RH7hJ3AU+bglumD/5gOBY2g/NEhdraNGhhLEimjnZ2dnhHmYvEwCywnfQTxC/3qDG6HDUtz1iZJu8OIO514zocuEl86fslAExkkGRtKMbKQZLbWq+KIEYpaGhRmrbKV13ZLpTFIJmSgbooYhDW/3upGJvLmoZUj65F2Utv8uk5xjPplGNz0xnzRJpUn/uilAo/Gn9TuI80UQY3DXBSDGMgBq9CfBuM9fUDp8aD6FUFhB+xkZFHzQk+Wb8ecBjzCO0D+npGCY7hKz/svSUIXF5l4zHAaZ2Gu5/ItLV4g8ihmbeCIPFgqr+5CsBbOZbpvDQ0GJ1YgmEiZ8/vQ6atg1IzB2HRu72irIe2euhAf7DxS9CfPpxRKZLfhEJ+IoQx3nkf2Lvtl0/Ak+0yZmEoi9EpCa0L2sxrW4KkgbSSxSWm1lRCNd+AkWRb4kpv2bz5G0H06D1hjVMZSgGSsgNGRQyV+0fxQMUyjo6bHQ/cmUalSpyWEhHTYkyOk1K+4u2GvRfCgpDYMidIUdQyjDHQvDphrPGDMc3okjdhoWl2H+3btsHzqncOS99mFg/4GiN2E+vVgic1o+M/Sv1uNPkJk2MZNApAI4b0bzbviQ/NhKmpFu2vCh/WcC5g+NaIektUQLbMSHo+i25+aA/f+jh/RRm/7N1dyl+4c86oeqoS5iUYnJZFHVkDPSrKC1aD68bAOBkHS6H4bSDsyWTMhESj3GjEfSmc+7Xze//K//UXKY6dEeq3kKS2yNhN5QfPmXzeXfIm9j/8HCfI6w/bTuX9R+6/EnGti0iVk/czPtqdubCZjAOgigeLgzpCySifFBFgRQ/qrLNlA2zgyH6yCjUkgCkqZcXGniFwjRiKTJUXmRhlKH95qF2g5KvE148Xnz9HI7B6VYkIb6xg3zlzWFufeDOOzI7jiJFxOzH/s3n6NtPzP0r9wXlpR+3Xjh5XoWRnlBIcEq001YJei62/iDywCr/NWqgrGIeq3qZpddWC38yKCbb//ibD4QOIb2ExVRT+j39Hhmihk9IhKk6zuO3Hq0/impBgR1825xyI9nNCTuNRO6rp96ztHy4bTp0RonAcVCGghFDjYjzW45/HPzY/fvt79vP3CjhYkp73/e5udMtrLazcEMY30Bh91lJp/5b97R/jMZpc1HbW/u9nPTE0Z2nJFmN14f9v8e409j+fZ60/oAQUhjGX+Vo+FeAz3Q1ThIsJVMVrmuyxKluB13BtSk/ZvPItpPNNRKYo8BouKtu+lo/dPlh/Rf3sSYwHJ9IbkrE7NZRUF2meSco+WjE1PBGUI1TurMSWeZKBv+1s1weF3wG4HYlSnhqnvNzmqmYlaXQZUd7T/gkDD/aEgjG8ZIs63b3dKwf113s1H/7TH+tNZv8z1i1ijGMxE9DdGkEz2YJ8AbW+kPPCVhiGcuXthwVeDFRD1dCkv5iY5U5Me+GNg/EMznsO0nGqoTXQJ0eWpHIo+erl9J4Y1M8knrpWRuhOjyLCQ0IHTNJA1xpSet3QMtNEfzH+nCyEFGtvyAmDQ5WSaOMZPDLg3e/eeDiHF9lTQhh/y8jDTLuyg9cseRZvZPBbEMVZP5jOQzW//q1siR58wnEHtV2pDsk7xDTQqfxE2vmgy+9m8+xe3HUbWfaKhODBEoZCLzdbI0VPNmXxJZJspsrdJQrBTwC2koBcwHMkUMG8lEhSnGmOWQSbc6pM+Ir3SlYTYeaZZ3UXrkjiPN7L9eTeZzL5+Z+1e3Ro42Zz6BCAIHsQ4bxDL/w/I/2lHg4CdGvUj2cSYhE3mPUFHDkIZIHxadbchEzAg9SjOxCe3IJlX0wcs1+QmomIqq4jyirUV5R5rF6W1nKP+6ufo9MvoTTLPoTmEpTHGCKxzmxf6DhvkEit7EQfjEmYzsOCPNwu1yE7MKRG5zudEHFuMaf/UYSGlW9aJ6RH10VYitMlYouPAT9It8+w96QmQ+h20/0VCdKAjQ61mKCbnc1mdpSOvd/jzzxQWJLBMxU0+XNNQMX7wVh1j6ar4m8YQd6Uy8sHgoj002U1QVs+KhPDYFDb6J/eHr5tmHQZkYM3CHZjrjUJd2nOAKh3mxf/PRDPfjbD/UTu44k/ev3BeWlZ5VIFIHSBboSwtqlJdkhFq8ByCC2qqgF0N/3lr4CeJFvv2Ls/kcSfuJinCiIICCifB2lomY0YslDXkpmbGChUQhE7M0ZBdc4bA4xKJXEcrFu5iSzihjBr0sE2UGpRxVxRhEWSaG8hYWpiG/3X3HvSsTQxrynRre6OJf94M1WRpu+T/fzmvOi/0TVZV0Np8jbD+t+1fuC8tKz/dbzHBhOEMgMk5peGLcZ6xnICOf8YsLAza8bU0+ox4jHcMcCTKxJyTAuC/NV/gJ4kW+/ReXAfM5bPuJhupELwEGgW0g8Sb4x+0N3Z8hAmOGAuqOBkyaTBq2ouPcbZKpu0c2MUSw0PF7/S83k/JSRoqWezQ5YInCCgtlDFCkQQqofKPIVgiTo76wSb/FjM5TqE+g+Nj1l+/XHzVEF8b3jbfPiz9vP4jIwgdrzp9sP7KtBWn49nzz9Kfr1eI/+zcfmsRxtZ/dbzE37F9FH5h6tfVvMc8nEBm/0HwM6IxZUGJ4IgxQl4AV7Rh+Arj9Z21tPlwXj6r9REN1ok6gkIlZGuYds0wkf6cMVygNc5EjLZEn6TxU8IyR0aAQl+EqC0RlFjIuS8Pbve5e5smvS5+8o/1nGt20+XSZ5JyJ+ewEYvZPesr+VbieenU9AtHhK92yFxyiwRT5Dn/mYAmUls4nKtqJLgGCYSyIGGpZW6VvCHQVOWzFLIfNtGPOUYQsh826R1xoTr50IZ0VRhWTwJKlIZvCrF8mpghiZqLL8Mu/lh+4yTakiQb98t9a1LCwj1X7DxS9CfPpxRKZk/G5KxCn719xxm0SKxGIDu85vMcFLEvkowrvtW6fbQaH9XjlUzXoPMrTGy8sFA9mtCWWEIUCkWOKqMP6l1wWx664dLGKdC7IwIRyxTP6HaQtpUymlIkDAnFxfHzCJrAPgRuB2Kp/7XNOD9intUCcaZKKxiyNX5Req5ILsaqtjGXcFnOdUOQgdtTFIFYLhEW+/ZvPUbWfojq8WhBAzOUpFNQd4wA2CCACyZqYzKoUDwk6eJ7LgjG75GkcK1OHCGheyOGZMgMjd1YqLxwYFRlF4yvZYGERKDLZpGFTPNmR3XGCKxxi5sUETAAC7l9DzeBPQxumzdfjnnhoqFVdwjkQqyway7jBJR1SkjQjWl7FPvzESWKW87Vq/+ZzJO0nKsKJIQJ0ahbdx3OLqDlqvY9QGQ2khPQX0SOzMjY2dKQF5mtAo+AxpuVCSCYKC/kkNJZmG9KSiYhLuMlhYeBVEzhNAu5fQ/U+3ySVoTNwvgmYgAlkApKJ00zCyH6d7hLwI+YuE+ecDoGbR8wLLXHrR8wWiAttGD5tE1g5Ad5KJDrYGwyLkvMMmvCh42EB5MEJC8QHI/MOKyJggVitzJneQayegzeagAmYQEkA2VdXh+yAwcmqQwQ0+rikdncdA83+uZvtNRMwgXsIuH8ByALxnlbizSZgAiZwVAQ0+4Q36/NMneIMY34PZshodikMvGoCJtBLwP0rsMwkEBHjed6cXkiPk2BT3OYyrrGqOYwYkGA1bpQLP+GhyLf/IKOE+fRyCEqt+cSBmib27keV/pJPuJ1/8Y9enw8aaSkeTjVGg9iUExoxcJgzV5PWpStmNFMuZpwUMlGgYup3zFy2TFxNM3BBGhFw/yrAzicQGbLjLpY041pcD3R50LjPm+mschnQiZJmwTivhp8ojMwiX7vYv/moYRy8/URFtEvQ+FVYHYIi51U6FKua9kFHy1KPbiJj7Vj4iRMu8qf1r1Nl5rJm2sZBlciKh+MWeiiMKQi74yQXPLYuPQF/FF5IQ33sJn/gRlio6JCGTGfGACz5AzeWiUtvCT7/FgTcv3qpziQQGao4PIO7TkKroQLzVoZ4fbdC8i42ST7GalGYIl+r9h+UzOew7Scqol1CnUsVTWHzKl2JmRx0KzoXJ5A3sapuoh27W+OE816T+/d3EINzbwJBX0hDVaXUXpaJUU3+DmIvSWeaQJeA+1eXiXJmEoiSfQQw0OkcmGsSHy3jotWrAsMGS0bALG4KP1GqIt/+xdB8jqT9REU0SlDddK6uBKT4HFESUE2iV9vRGcMm+4mzbe1fJ8m5FZ/LLoJhnAZL1kMY0PfzJ7JxorLEya8gwUQclvyJbBVT42eWiYyWWRpiAA2MgQAoVnEibyvA4iKYwCQE1CPcv7ow5/vMDWMT4ziXIo1WDPTcE3NJ0xjHKMa9L6Mb+ZwlYxnykQojgT2XATIZ+BgKCz9RpCLf/sXZfI6k/dAgadJRHQ9N1H8ahH6BsKv0l3pHQ5ZJVGU/+Qxzfi/PR/rPxyINK0YDSkSaMYGFEyhsOA1sWMgf84nspvx1zu3qN5c9F5x8yFM0xslsQ5rxkDqNUxrCuPFnbgpwXj0pAp3P3Ezcv25gNhp/VvUdRMm+3qvRY646N1VwLSvtv+BsPr23H9FO5uGTX/uLI45P/PjxY8iYoWeSe63CTxyuyO+FWdGmQ/eE4Z8EPnlxEBFDIvLJQf2ENJTiYSvnE3qIcQMNRAAg9mIrqpEcEpFJoh1/HaW1f45SXLooI0wko7NMzNIQ+LCCpE6yRyZaIAqN/54mgSQQm/SvG6qNxodVCURGLgcRueAVHG6a0Pam33zWyofK1bU8qntkgpEFy4pAhNjSw4cSnRSzNxYIOgwiGIZZ1kOBUdIw4o6FQGzHXyfQ1H9x6co6L5caLJyMQGWSld0VQbz6ffP9j815GaUNtNeJL7uvLo4xe/LnzdOfbne3/1sWBHevNuaTgRTpWfnsBGKlgzy2f92UrdH40FogzvQOoihxL8sQxgiuO1pFC2LcVxhAz4yw11atcgnMWws/N1WwjSDaPzQKDuZzJO0nKmJkgmu8mn3Fnq5Eh6LZU+mYqb+wF0WOVXWlWA2f6nraWviJIxb5k/vXgRiFiUGq8xIN5eQl7xhVKZdeMWQrNjLjzMlkEwZ4wJhd8jQO7R6l2C8xhv9+nrXXeP8UTeSRhvkVQ/xQfVzeCIfjDSwsJFglM+pdPPO7mzjMZ37xefPiP5vzf2+1S+9CPluxGWmGw7zYv2gERvPJzSPSB+PTuH9FAR+UGD8+PMjtg4z/9CDrRxozZjF+4YSxnr8a3JVmVaqREVBH0RAfW2Wsa1vhR/b8LfLtP+gJkfkcsP1wgVcLj+Z6b4KzleyrWKqK6VZULjqAXTiQWj57sZWD0pVUcDqXTkNu2cqOGLNa+IkjFvmT+48DSe1xMsgazgoFEyKGc6AIgQKbMEMmhofCLPKVaMQ/jtLUPxXH1YK/VLGOCAGOSJGlAvnLojGTRJwVOcBkR+hJJqoNqD2E2dvzzdUfm6/ft/rv+ZPN5c+30USu2e8+bzexEPdiudcMDzjMi/1njOZTb2YH4NO4f9EXmo4Pua9Nm55vkgrnzcgFJkYoDWSMWQxehARIcHmrzETBnqsFoyHDYtdPELF/8+mdyXQM7UeX6mir9yYQdlzFmZtydnaGceURc2+zjzcskQX7PYCOM2ztPw4UidB/dc030kxu2/Gfx38XjnIkHKmjMIjzYbDVA3dyBkmmdxALEfPufHP55VYaIvLIYSHzw5ftI+mt2yfbzDBjNYvLrUVa7N98aA7H1X7SO4hqqjGqaPWx/eum/Tcaf1o/Yp5PIPZKwCHNJ+045iJ3w38bPuxKTPs3HwhURNJsfBh34modB+1NMCTR/tGFIwVib8vHCfn4r4vjyk1anFtr/xxIb3Bz68gSQbI4ARKcA3KHhfQYM6HLHtrx11Fa++co+dLFyIYojKtOvoyRCSg1tsKMVbZS6bdkkkC8LkgKGZJD1DCk4e1edy/z5NelT94xy0T7z2SUNp8uk5wzMZ8kEJv0r5tTbzQ+rEcg9sYhHD68aT8Or648PDx+FlvowkjQSCoRRLb2dq4x91cMWzylHbqPqjfOCf0TLtVcHI5Y6L8sDeN87jUj8gq9bN+UPwdq6r+4dGWRlzchEzmTkIZDZndkYkcgChqXYcKEz59eRw0zyZzexg6vtgry3pkreS/S9l8AKVbNpwBSrE7GZycQcye60zvu3pXt079uzrvR+LASgdgbhBi6LDl8WL9sm8/i+DBKcLXmhYqb4aL/f7oJNqELI4F1XSD29q9lBRELIYhMpPgIR0UNISDhSGIbSEy/ydRr1g1DNuXPWTX1r6tLcenioLFUrnBhQyLM1LS2mwYEYt7LaRNYLYGdQGzYv27ANRofWgvEmWYxa0BniNfArTdmQCZ6sZVVhjCukVzbwoYbYkZGPRYJy+ICUOTHvvZfEDB/gEQ7FBz+tm4/HII2SVirvqjdxlmNT1CtFCoKQmehy9Bx1MVwS4eiW9G5sMmWrIYN6cIPOVqK/Mn9cxQOwZnkmbaENqNeYuruSLObE7/9vyl/DtPUP8FaHrZQfRoGEdMcjpcQ+Euao5PPVmxGmuHwFg0n/+vm6eX25bDKQsyGicyVmc7aFye4wmFe7D9omA8NqbIchE/r/kV5m44PFZ6P3DSTQHzkWXp3EzCBFRNA5Ui8FvoPLRvSkOJjM9JMsmk1xMCSpSEvW0s685d0lokjzXBYwGHSycXnfpkoacjMU+Yvawpzr0zUpR0nmr9i/wUB8zna9jND/yoaw2JWXzdeeDTGwigvIiRY5TaXVYIcu40/FNLgr1bJZyuiXqt68M8urBZ+ZNDNt39xNh8IHEP7iYqoJ4gv0vJ5/IdZTpCu71j0C7V/Cq69FC6qd7c9+teE/ikyZeQMdRrdwpKvYWGkmRh2/dRz9uZfdxtbH+OfKtY4CQEW0jApcrAZaRan9OOfG/377e/biSZamJjy/udtfs5kK6vdHMww1hdw2F1m4TYSeUf7DyyRMB+1vbnbz01PGNlxRprdeH3Y/3uMD43l2+tN6wMEIY1l/FWOhvveyxKZtJWRlx/7r1/+zedI+ERFVBJ7DBDy1tu5xtxiqa8Nacc41db+OY0h/Zc3MSawXF9I7qrJbIYrVuPkxyf25j/yEHv7144qOHXBVSqOWFyxZMPfuhkOrz3cCEQplSxTwlX3mj3SLNRPJEbuONIs3EZi5I4jzcJtJEbuONIs3EZi5I4jzcJtJEbuONIs3EZi5I4jzcJtJEbuONJs63a3NOxf0VFHJPYYH1rrt/keMesawzMRPf2pvPnEUxKG+HvfoCqeItm/nr4VHGKUL/LNf+b2ExUxeYKCxLt6OKcZjH+Ll6eT7KLGUPiJ8yzyJ/fPgeIVOjo+J69fSWGGCvmkVRz0LmfCQgKZ2GsmacgZ6klrFGHpCVBQBLowcpDKyg+ISZOTZeIYMznsYmEy8pfXt2FCSUNyiknKI83sH4AsQxjN50j4zNa/ujV+5DnzCUQGstAoQJEKZJTvlTW6Yumyh7F21MWs8BN8i3z7D3pCZD6HbT/RUCdPhDqkinGuYqrLsKqtvRJQUg9RJTlV+InzLPIn9x8H4jQ4JcUCGRmYWpiloY6rAmaZKLO1SkPBUcAvpKEUMJNURAwbqp6tClKMMcshk+AfCek/4itdaRg2JEaa5V2UHrnjSDP7r1eT+dzLZ+b+1a2Ro82ZTyCCIAQi4zurumj1XrYl7xxEhJL5ROdZevuJgkyYoCuFgMOtNB8BNjUbuljlIwBhw46FnzjDIn9y/zoQbjkZDQshE3mPUFFDnSeWFIdFu8geA8zQlNJMbMIJm1iV2cr+qpiKqlK0CKMW5R1pFnCYhsJE46vfI6M/wTQL/tUXnOCqmKlq/wHNfAJFb+IgfOJMRnackWbhdrmJWQUit7nc6AOLcY2/XAkiTUIvqutqx6quCrIMY4WCCz9s1VLk23/QMx81hsO2n5t2OuX/qmK6FY0fvyqgCsuqtobAUudSR4utuZuEnzjF1v51IE6MpZiQy219nDm6kALufp/5gkSWiZipCJKGmuGLtyjCOhL5msQNAMqYeGFEW/VQHptspqgqZsVDeWwKJnwT+8PXzbMPgzIxZuAOzXTGoS7tOMEVDvNi/+bDx49oPMfZfqid3HEm71+5Lyws3folx/xqJsMZdKCvTIYtVhnFtKr4EH+1Sj5b2YVV3rARVhKsFn5k3823/yCjRMHNfGbmUxyuu6oHfwg4NtHgI0G6axw5dKh6T6l3MZqBXGU/4ZxEzu/tiY/0zyHyK3SUhUFAPZ1NnJ5OgHwOxEKChcw488ruuSD3pvfjf6/bMNjbv8bGotThln4dWHZs+ueDZ5IxzPIcmX/f3m7eXnPdOiBNjjYVM5T10tj2TG5mOtd3t3/zyTPcj6797HpRw/4VvXREYo/xobV+m28WM3w0isWwPtWFJ8jbv1AUHMxH/T8uiofiExUxbYIOxQWbQsltb2HH3GgVfuIki/zJ/ceBCp2HPs7SUEXAOOshDCIgulU2SVmG2xUkKFcWxCoRl5OQ0YGFZhCgyMQAs0yA2sQVDq8z0yzmQia+/Ev/x2vyFFGu/ZjFkpWlpGH+a//mQ3s4rvaz6wYN+1fuew3SrQXiGQeI7t0i8fHjR7klhMtzEMYmvWnEQyIeGDGc6XkHz5J4KkQ96eERz4x4tsVIRwJ7HhvhhMGOp0uFnzjnIt/+xdl8jqT9REW0SNAveNew0l/qHQ3RoIe52U8+z5zfy/OR/vOx8L993nzzjBjP9GU9RM5m9HfOWU/AyWfoYOE8s81a0wCBDzVeKXjGKEUYz+vvYOn81B5PivVEWGaEfC5/Lmcxs2n7WuHn7XeztSB93p5vnv50vVr5z/4rcNhkPrPy2f3UXnHEKftX4Xrq1dY/tTefQJTm670UPeaSE8Dtn2YNjYKD+fTee0Q7nI1PHKhFgqqf5Har8BOnWuT3Iq3I06HbwvDPq5MsKLwQgtI3RAeLHHbJQhCZqB1DGpKDeGJHlvC/mgQVEdIQ6dyrj7M0pOBh1i8TOwJRrCRTXv61RxpmmMjEX/47VhrmHe0/0+imzafLJOdMxueuQJy+f+WTbpBeiUB0eM/hT67rdD/6iCTsGD0RHWrp7ScK0i7ROsjX1D+fqkHnAac3XlgoHsxoSywhCkWVRhIxRdShXuhpB3xmz8Wli1X6UUEGJpxVBF93kLaUMplSJg4IxJlL58OZwGEI3AjEVv2rcalaC8SZZjFrzNL4BTGtSi7EqrYylnFbzHVCkYPYUReDWC2wF/n2bz5H1X6K6mixmsUBnSWvgkJhJDoXh86bWFU3VJfpbo1TzXtN7h8xp3fj6PsxIZdDI4DQfJqYrHOL08hTnikXZdTHXxBAuFqZOkRAEyHWF4u4s1J5AUJFUH3cfAaWGAnJZJOGTeCwCzvSDHCCKxxGzTphAidOwP1rqAH8aWjDtPl63MNYL7da1SWcHFZZNJYxvpPWeKdNjGh5lczwI28yy/l4YNX+zYeWcAztJyqiXULBM7V8jkKXoeCxilZAOtC52ERHQz8pYscq3ST6F6uFH3K0FPkt/HMInadkokStjs7hWDREkKAssYRZGRu7OfMV/K96pOAxpuVCgQVuwkJ+gMo2pNkXmcgCumgYhY1XTeAECbh/DVX6fO8gDp2B803ABEwgE5BMROCSidzpVTz56eqKpWHG0iTtR8xNsNrpQgjcPGJeyOmWp9n6EbMFYknc6yZgAsdAgBgn0UFFDYfOB5lIuNHxsCE+9+dbIN7PyBbrJWCBWK3bmd5BrJ6DN5qACZhASQDZV1eH7IDByapDBDT6uKR2dx2DeJfg7havmYAJ1AhM0r/ONmdN/9UKMMU2C8QpKNqHCZiACcxFgEfwKGPerM8zdYqDIw15pxMDzDBml8LAqyZgAr0E3L8Cy0wCETGe580xcrHESbApbnMZ11jlTWptJcFq3CgXfsJDkW//QUYJ8+nlUFBqvbp3O6+053zOy/Wv9hm9Phcq0lI8oIjRIDblhEYMHObM1aR16YoZzZSLGSeFTBQoMtmEQcxctkxcTTNwQRoRcP8qwM4nEBmy4y6WNINXXA90edC4z5vprIZ8JM2ikY5T12r4icIU+drF/s1HDePe9hOg2iVotDoZHYJTyqs0eFY1LYOOkKUezVjG2rHwEydc5C/Lv1DkD9xEuUhkxUO5Cj0UloBioi5OMtjYuvQE9YvCC2moj93kD9wICw0ppCGTezAAS/7AjWXi0luCz78FAfevXqozCUSGKg7P4K6T0GqowLyVIV7frZC8i02Sj7FaFKbI16r9ByXzqbefANUuocaviuBk8ipNvffbnzoZNWPtSE7eMZ9tzl+cf38HMVdlN80NQyEN9b0bqb0sE6MZ+DuIXYzOMYFeAu5fvVjInEkgSvYRIEGnc1SueXyZgotirwoMGywZAbO4KfxEqYp8+xdD8xnZfgJUowTVQePnzkfX9biKc3ocURJQVdar7egsYZP9xNku3b8gUPbic9lFMIxismQ9hAFI8yeycSJWAWcFCSbisORPZKuYGj+zTGS0zNIQA2hgDARAsYoTeVsBFhfBBCYhoB7h/tWFOd9nbhibGMe51Gm0YqDnnphLpsY4RjGumoxu5HOWjGXIRyqMBPZcBshk4GMoLPxEkYp8+xdn8xnZfmgwNLnA9dBE/ac7aLcIu0p7rneE+OXo7CefYc7vLe+R+89lIU1dMBpAjDRjAgsFLGwoJjYs5I/5DmLT+tU5t2s/uey54ORTsxSNcTLbkGY8ZFCNUxrCuPFnbgpwXj0pAp3P3Ezbv5jC3BTn6zevm/qfTyBSDMm+3qvdY65qAcj+uVR0OZtP7+1HtEPxya/9BbHxiR8/fgwZUymT3AsVfuJwRX5vYSvadOiebTb/HIhz5sVBRAyJOC45qJ+QhlI8bKW8oYcYN9BABABiL7aiGskhEZkk2tWvjtLaP0cpLl2UESaS0VkmZmlI5cIKkjrJHplogSg0/nuaBJJAbNG/LBDvaVYfP34MC0YuBxG54BUczKf39iCEyzx84lobhxuZQBlgWRGISw/vtT5/6EnUkuiNBWbFo0rJekg5/JU0jLhjIRDb1a9OoKn/4tKVdV4uNVg4GUUNM8nK7oogXv2++f7H5ryM0gba68SX3VcXx5g9+fPm6U+3u9v/LQuCu1cb88lAivSsfHYCsdJBHtm/li4QZ3oHUS2Ae1mGMEZw3dEqWhAPQRQG0DMj7LVVq1yi8tbCTzSvIt/+I3Jg/mPaTzSkkQmuwXJbsacKaPA0exonZmrP7EWTjlU11FgNn+oa2lr4iSMW+Yvzr4IwChPj1OBAtBU4kneoLrjpFUO2YiMzyJDJJgzwgDG75Gkc2j0o7ZcYU7/7edZe4/1TNNUs0jC/YogfmgeXt3h3EzK4ZZXMaFfimd/dxGE+84vPmxf/2Zz/e6tdehfy2YrNSDMc5sX+RSMwmk9uHpE+GJ/G/SsKuLjEn+Y8Y8YsXfMY6zmuBnelWZWaYQTUKWmIj60y1rWz8BNFKPLtP+gJkflU2g8XYLXAaE73JvAm2VexVBXQ7IHPdZpdOJBaJnuxlYPS1HViNH6dhtyylR0xZrXwE0cs8hfnPwoitUdhkTWUGgUTIoYygihQYxNmyMTwUJhFvhKN6jeO0tQ/DQPZx1+akI4IAY5IkaUC+cuiMZNEnBU5wGRH6Ekmqo2pvYXZ2/PN1R+br9+3+u/5k83lz7fRRK7Z7z5vN7EQ92K51wwPOMyL/WeM5lNvZgfg07h/5b6wrPSs7yAycjGoMUJpIGPMYvAiJECCy2dlJgr2XC0YDRkW4Vv4CeJFvv2Ls/mMaT/Y0BqD1b0JhB1XWeamnPFbStVHzL3NMt6A5LJNiLHSC/Zr9gvy30Ud+q+u+UaayX+7+p3Hf1CKUitHwpE2FgZxPgy2euBOziDJ9A5iIWLenW8uv9xKQ0QeOSxkfviyfSS9dftkmxlmrGZxubVIi/2bD83huNpPegdRTXXa/rX0R8zzCcReCTh08ZO2G3ORi/HH/ntFhvlAoCLCgg/jQlxNI7M3wSWZ9okuHCkQe1smTsjHf128Vm5y4tyW7p+CaIYHt44sESSLApKgjMgdFtJjzFQ12UO7+tVRWvvnKPnSxciJKAzVm2UimYBSYy7MemRiEojXBUkhQ3KIGoY0lIH+5ss8OXXpk3fMMpF8+89wSJtPAaRYnZhPEogt+pcFYlF95WpMUumNo/RqGupp/FyWOJ79ww0aBQfzqSuw4DN+FmrowkjgpDJJpVsp4+9/1BeG7qPi5ItKX5x/wrGa60OJCv2XpWGU914zIrvUTrZvWr8cqKn/4tJFk6aKVbq8CZlIZkjDIbM7MrEjEK/dXm3DhM+fXkcNldn9u40dXm0V5L0zV4p9uczbf8Ekr5pPptFNT8ZnJxBzJ7rTO+7ele3RvywQu3V3J0cCsTfIMXTZG395iyPZf6/UNh8IjAkfYsbV9N5HzDQzbEIXRoLd6wKxt306iBjtkwSIdiHCbYyQBZkIXoSjoobKIZPEGLNuGLJp/XJWTf1LfRaXLg4aS+UKFzYkwkxNd7tpQCDmvZw2gdUS2AnEdv1r6QJxplnMGuUZ3zVwE/CgwTGkqtnFVlYZwrgGc+0MG26IGRl1xxyWxQWgyI997b8gYP4AiXYoOPpLmyHsVF/UrvJeI9NgD3HDLjRmmjQNW10AtzR4mj2Nn63ZktWwIV34IUdLkb84/5SCIlDSPNOWxwjRr2Pq7kizGzC3/zetXw7T1D8v23AHSPPQMIiY5nC85MBf0hydfLZiM9IMh7doOPlfN08vty+HVRZiNkxkrsx01r44wRUO82L/QcN8aEiV5SB8WvevSnmPfNNMAvHIKfj0TMAEDkgAlSNxXOg/tHJIQ04Pm5Fmkk0HLNG0hwZLlobxC4QIaNJZJo40w2Fxhkw6ufjcLxMlDZl5yvxlTWHulYm6tONE81fsvyBgPkfbfmboX0VjWMzq68YLj95YGOVFhASr3OayShBlt/GHQib81Sr5bEXUa1UP/tmF1cKPDLr59i/O5gOBMe0nQNUTxBdpmTyewywnSNd3LNqt2icnpr0Uzql3hz3a/4L8gxSGEFAxuzDJ17Aw0kx11PVTz9m7futuY+tj/NOENE5CgIU0TIocbEaaxSn9+OdG/377+3aiiRYmjrz/eZufM9nKajcHM4zZRYvMwm0k8o72H1giYT6HaT83PWFkxxlpduP1x4YLRct/jeXb603rAwQpjWX8VY6G+97LHpm0lZGXN/uvywvzGcknQFUSe1/gexv/mFsg9YUh7RinunT/FHNI/+VNjAks1xeSu2oym+GK1YAzPrF3/Y48xN7+taMKTl1zlYojFlcs2fC3bobDaw83AlFKJcuUcNXVfCPNQv1EYuSOI83CbSRG7jjSLNxGYuSOI83CbSRG7jjSLNxGYuSOI83CbSRG7jjSLNxGYuSOI822bndLu/7VVB3ivLV+82dutm9DEmHmhTAuKjyg4eFU/iJjjJJFPo+6eEeKS5GeefGUh8c9DMp6Yww/vFKGAiDf/iFw/HyioisJTbbVC/7+zI0e49LgK98oVUeo96wATleindBxyKFnkca5VtGFdC71JjLpazFXN5uxF1v1mDXcjk/sV78z+NdL9BBg6T4d5gSoC5iwkB5jpja8PfO+SSo8U9bHsZGGY75rWDfbHuXuYv93eZRr5lMSubs+JZ80SWVMx+FExphF//IklbtVN7zGuAZZtmsUYxBnNGf0l8CKTXHVCUsS2qrLQ+EnDljk2784m8/I9hOgJk/EZVuXdjVjNWmOpa3IGtK6zJPQVroGHYRuIsVT+InzLPIX5z8KQjEpsmKBFBxVxF+kITdakFG5MCbBKplsCjMosSO7i1X4XEdCAT8aiZqQisktiohRRvLZqnDIGLMcMuki4ps1X15vHzHzt/L9mpFm9l/HaD4H5zNz/+rW+NHmzDpJpVcFatzvlXf3TvOUmgy49s+VAxoFB/OhjUlM1PkEqAkTvZqPk1Gz51pOIx+SgGHD+RR+4gyLfAooURX7Hrl/FYTT5oTVnUMmchdeSENwsWgX2WOAWZaGOGGTKjoorSZBueDDswtqmULxl3TIxCjmSLNbe0KGv26ufo+M/gTTLPhXX3CCK2I8edmGfOx/R8R8csPopg/CJ05jZMcZaRZul5uYVSCiArkWAkujG+NapEkw0PNX4RASusLJklUZ8wyIdOGHHC1Fvv0HPfMZ035u2tGU/6sKaPY0TvyqAetkWNVWNXVW1fjVEWJrbsbhh61alu5fpaDgLMWEXG7rgwy6EIDbn2e+uCCRZSJmQiRpqBm+eLshtJL/8zVJUVXihRFtDZmYzWgtGGAW0dYwK6DwzeoPXzfPPgzKuJiBOzTTGYe6tOMEVzjMi/2bDx8/ovEcZ/uhdnLHmbx/5b6wsHTrlxz11EN/Ga2gA32tMmyxyiimVcW9+KtV8tmqAY4XsYVVb2cXfmTP3yLf/oOMEuZTbz8Fru6qHswh4NhEg4wE6a5x5NDg6y253gVoxnKV/YRzEjm/t6ccuX+KwGmr+6ubk1ZNsUniRvkUhEVpSh1kKrtnUPem96vfe92Gwd7+A04udbilXweWAEVmGCiRScYwu31P/5+bb283b6+5bh2QJkebihnKvG6oJWYi13e3f/OhqWih8Rxd+9n1jXb9a+mTVJrPgsmDlEaxGNanurDFIexfKAoO5qP+HxfFIT4BatoEDZ7xkYPKbe/J6HLeK+/oJtqx8BMnWeQvzn8UpNB56G8NEaIXiifrIQwi4IoZZQ9lGW5XkKBclDRGTpUIuZkLKyw0swCFGQaYZQI4wRUOrzPTLOZCJr78S//Ha/IUUa79mMWSlaWkYf5r/+ZDeziu9rPrBu3619IF4nyzmAnh8oCDsUlvGvGQiKdFDGfkM77wLImnQtSTHh7xzIhnZ4x0JLDP04oLPzE2Ffn2L87mM7L9BKgWCZ6K8i5gpT3XOwIXdT1szX7yeeb83vIeuf9cFs5/+7z55hkxZ05f1kPkbEZ/h4mesJPP0MECh2yz1jRA4EOLqhQ8Y5QijOf1d7B0ZjHzpFhPhGU2NEM5ZpLKDOnz9nzz9Kc7vntX7L8XS2SaT6DoTUzMZzeLuTjQhP1r6bOY5xOI0ny9l7rHXNKiau2fZg2NgoP59N57RDsMPk0TVM0kt0OFnzjnIr+3yBV5OnTbNpt/Xs1kQeGFEJS+ITpY5HBKWQgiE7VjSENyEE/syBLnv5oEFR3SEOncq4+zNKTgYdYvEzsCUax0GX7519osZiyRib/8d6w0zLVg/5lGN20+XSY5ZzI+dwXi5P3LAjHXWk/648eP5Dq8x7MermEFh+BV5E91vbf/3nuP0EPBZ4bE0oN8Tc9f3/mjFnrjhYXiwWwbLezEC+lEEVNEHeqFvxlqdp5DFJcuVpHOBRmYcDIRfN1B2kZVM5lSJg4IxHkK5aOYwIEJ3AjERv1r6QJxplnMGrM0ftEgtEqVqHHkrYxl3BZznVDkIDYxzMWO4SfaVphlh/ZvPtEw6u0nQLVL5Is3J5NXaeoK89D4OYG8iVU1YxWkuzVOOO+1OP+IOb0bR9/PM20RQGg+TUxW2aOYecoz3GDIjuyOAMLVytQhApoItL5YRCRY5QUIFU3z4OYzsESDJ5NNavbAYRd2pJnhBFc4jJbjhAmcOAH3r6EG8KehDdPm63EPY73calUSkBxWWTSWMb6T1ninTYxoeZXM8CNvMsv5eGDV/s2HljCm/QSodgkFt9QyOQpNmhOLVa7lXNpp/GyiI6BveHKqk6EZR/snp/Ajm27+Ev1TNHGQTJRoVgEpDouGCBKwiiXMythYoFl+Qu2EgseYlssEFrgJC/kBKtuQZl9kIgvoouEVNl41gRMk4P41VOnzvYM4dAbONwETMIFMQDIRAU0mcqdX8eSnqyuWhhlLk7QfMTfBaqcLIXDziLnR6S79EbMFYqOGYbcmYAKPIkAMleigooZDjpCJhBsdDxvic3++BeL9jGyxXgIWiNW6nekRc/UcvNEEDkfAF8jDsa8fefuayP/qJhteTN6+m/yvYbPhC8DSBejSz3+4zrzFBA5PYJL+9WP7IcSGy5vNm4beN5uZJqk0LYOdm4AJmMB4AjzCJjDJm+l5pkuxe8yPwUwv+RUGB1xd+vkfEJ0PbQL3EnD/CkQWiIHCCRMwgZUT0NAfM4IpLTM2CpkY0pBNGMTM32OQiUs//5U3Lxdv4QTcv4oKtEAsgHjVBExghQSKoV8fi8kfiJFMZCY1CUlDJsdgwLTf/IGYQ8nEpZ//CpuUi7QiAu5fvZXpSSq9WJx5MgT8DuK6q3r3DiKPiXmjiIISDuRKUHwsJk+IFozdzOnyh/tQivrGEDZMi5nzU4sNz9/tf93t36WrE1j4+PDmjd9BrFewt5qACZhAlQB6jiV/YlrPkdF87KegoKKJihoqnMAmiUKMSes7gjiRt+oBJ96oIy73/CfGYXcmMCkB968hnPNFEBlz+SDF0Hncm3/v/br91xmaTz8fR1D6uawltzOLuYgX9sYUKXyOF7LaG1PMjFr3rzjWxOfv9h9knThBAgsfH1pHEOcTiPGUZL9G+OPHPdPF7b8O1nz6+fgC2c9lLbnpAlBIK8IGqEB9jjvLxCwN+QQ3gUM9noZIRSa27l8cvcn5u/2vpaW7HPsQWPj4sB6BGGPxQ2uRkZdd7hWI9l8Haz79fHYXyKvfN9//2JxvP6lXW75snzSOMnvy583Tn25d2f8tC4JzV5v5+OwuAIW0yjqPyB9TUkImcp560JF/naWye5Sraf+qnMBjz9/tP6rwJjFr+9wd1OPDDfvt/7PyX/j40FogHvUsZsZo7vJz05k2bf91nqfD5+Lz5sV/Nuf/3o5NvQv5bMVmpBkO82L/ohEY5+ZzcZEnJiOqeO9Qp8S8E+TX+/fvae1IQxYSrJLJJtnklxTJwRUfytGmx/wd3784XNPzd/tUPR6sfXr82VXAwfg37l/7jRLjx4f9/I/Z66gfMaMOefXw7OyMktwbQdzjEY/915vISfDZRVAYmN593nzd/vbv5vmTzeXPt2HCvIm4FwuxxrpZ4QHj7KTYmjfZfx3sPnx2EQLCezwmJnAYupAcJBdPlkMFcmiEI3+LHCQjO8bEZwXz6BqRwy4sTcefhufv9r+rvtwNix7K9srWvGmf9nnf0e2/Lf+Fjw+tI4jzCUQGX4baXXcY9YcB/UECxf7rWM2nn8/uAqlNeSzmIvHufHP55Vo1MvS/Pd/msJD54cutTMxm3UtLPqj9H4DP7gJwpxbS12rI5zYd/ZdFoYzpLyhIPXomJ7+kmL1FunX/igMhFjnbGEsfe/5u/6mbH6B9Rr12ZGgeWDz+wKnJ+Lnw8WE9ApFxLUbb1Cl6kgx53J0TOHyQQLT/HpQpy3wSjJRMF0jl5mGInDw0p93uyETy65eWvKP9Zxrd9MR80gUgSyvFDkPVZZmVpWFhVpGJrfsXoJqcv9v/rgm6/xY9Md8Gs2m1fBY+PqxHII5/BBO6MBI00AkfMYfbSNh/Hh0CSyTWzKdzgRQKZAphwudPr6OGmU9Ob0OMV9vg4r0TXPJepO2/AFKsTsZndwEopBUSMB4Q503IRE4jJqwMmfXKxKbjWz7J4uh50z7n7/bv/lv0vbS6/vFt4eNDa4H4p9QY2iYZ1+49AO/3xKOTe40LA/svgBSr5lMAqa8i+MZovu1D591z57q37lb77zLJOdPy4WExAwtdIGs+HQ6liMbKMmuMGQ5DYspP0/41w/ln+KSn5V84t/8ukCLH/Asgxeq0fGboX03HhwLOhKvzCcTuWz7dYvDeITfi3fwxOfZfp2Q+FT7vft388r/btwx7LfXok015CkvXUo9mXv5lc/m32432HywOwodZyd2JJlwVyGRh5krIRM4zlJ/mo/SaKVYXhSLRtH+1Pn+3z6jKg7RP8z8s/9b9q/X4EPQmTxz1Z24mL60dmsAQAeYm87GPp5fblwuLBWmob9wwzZl/Q1+6YUd2x4mmORdO7P+AfCQBqRF9vObZs2fIPlb5SxptRz6rSEOpw3vNYjZ0UcuNVmc4f7fPA7ZPmo35H5D/DP2r0cjQ2q0FYmvC9r8AAkT7fvv79kXsYpjO0pCt2MiskIl5aJNZDh9SfvsP6XwQPlRBofkIHPLTxvxlU5aJI83mb9MjT2ykWXH+bp+HbZ/mf1j+Kxgfih491ep8n7kZc8Z6xBxzIyLBvvdOUrH/MQTqNqfI/+5L+nqOrA8iBis0TfFYeaRZeIjEyB1HmoXbSIzccaRZuI3EyB1HmoXbSIzccaTZ1u3uJfT87sr2oXL6ICKKCoHIEuegRN2M77MyOhW73Lu6d/9qeP5u/zfV1u3mN1tu/x/Z8Eaa3fq9SY3ccaTZjdfb/0fuONLs1u9NauSOI81uvN7+P3LHkWZbvwsfH1pPUnEE8bbxOWUCvPv85fV1mBAaCneRQ35eRprlXZQeueNIM/ungliGqin4ILBIo/m+ffvGPJX8gJg0OeSzVfZjzOQw/LdOzHb+IxveSLMulpE7jjSz/5HtP0CNBDvSLNxGYuSOI83CbSRG7jjSLNzO1r/iiEtJzDdJZSlEfJ4moPHlXg4jzbp+Ru440sz+uwSKHAJ+OSfmLMeEZclElOIeZnmXRumZz39kwxtp1mUycseRZvbfJVDPGQl2pFn3WCN3HGk2g/+Z+1e3REeb4wji0VaNT2w+AttHEr9urn6/54i8a8i/+oITXOEwL/YfNA7CJ46ONGQayosXL/Q5Lf6SJof8sCEx0izvMk965ImNNItzdvsMFAdpn+Z/WP5x9JEdZ6RZuF1uwgJxuXXnM5+MAN/E/vB18+zDoEyMaShDM505FV1acIIrHObF/g/Lh6PnMZ2P1PBhC15rZp4KQcQsE7MZmzDADGN2yWa5cudJ5xOb/PzdPg/bPs3/sPw5etP+Nc8Q0eIoFogtqNrnwgi8/3nzdvcd965MDGnIBGfe+OFfMdOZomZpyCqucJgX+yeqKul8ED58yEZRQ0krTfXlTBQ7zDJRZpKGumZgpu/gZJk45quHuQE8Mt36/N0+D9s+zf+w/Fv3r0d2/wPuflyzmA8Iwoc+UQJpFic678MulCgUfOz6y/frjxqiC2Mi8/Z50OftBxFZ+KXm8yfbj2xrQRrys3tPf7peLf6z/wPw2c1S5ALAe+jMPsnCjhyEYExYQQ5qa/61FaQkgcM8YZmtTHkmp3hhsajraVcbnr/bv/vv3Z9aPq3xbeHjQ+tZzBaI047k9rY0AukCqVMvZFyWhrlseRglvy598o72n2l00xPz2V0AiqNI5Ok3l1GNLCETwzJ//oa4IzZZXIbZQRJTnr/b/64K3X+Llnwq49vCxwcLxKLdetUEJiXQuUDKu2TKy7+WH7gpjs0w+st/a1HDwj5W7T9Q9CYm43P3ApClld4+1NF3KvFaJmZpyNYwOwaZOP35u/27//b2wF3m+se3hY8PFojDjddbTODxBAYukI93bA9HQeDmAlBIK1Z5AbHQgshEzjk+mh2qUU+fedbM1kPJxFbn7/Z/FM3UJ3EgAgsfHywQD9RufNgTIeAL5LorencBePXqlb6FSzhQ0jAXupCJbAppmM2yTNSPPOWtTdMNz9/tv2nN2fmRE1j4+GCBeOTty6e3cAK+QC68Au85/d0FAHXIguwjajhkL5nIVsy6ryTGXshETVLJM1dia6NEw/N3+29UZ3a7CAILHx8sEBfRynySiyXgC+Riq27Uie8uAKMsT9PI7f80692lFoGFjw+tBaK/g+iOYgImYAImYAImYAImcIeAf4v5Dg6vmIAJnAgBntvm7yD2lprnzsV3EHvNFpy58AjKgsn71E3g6Ak4gnj0VeQTNAETmJQA81R4y5CZH8+ePePrhqjArnsy2YQBZhizS9fGOSZgAiawYgIWiCuuXBfNBEzgDgFJw4uLC76STfiQbcw4KWRiSEN97wYzjNllxTKRYCo6OEihjFliNeZQkwMcVpmpo60kWA2FXfgJD0W+/QcZJZbOpyiOV1dDwAJxNVXpgpiACQwSKKQhv7+MuPn27RtzltknZCLaBb0oacgmDDDTjzWvWCYiUFgiSkoaAqECWQ0VCARWQz6SZhEuMGo1/ERlFPnaxf5XwycK4sTKCFggrqxCXRwTMIGSAPomooaShvrejYKCWSZmaShNiS+MC5mIw/IYS14PlaxCaDVUYN4KCkKqvJcpeRebFESM1QJGka9V+w9KS+cTBXFiZQQsEFdWoS6OCZhASYBvFrJkaajnyFI5WSZyqUYvhjTEAB0j9RMyUd7KYyx5XbKP6KCCfxSZH4wZUoFhQ4lBl8VN4SeQFPn2L4ar4RMFcWJlBM5ev37dtEgfP36Uf7oEI87ex/r06VN9X/s3nwqBwfbj78BVqK1gU2eWLmqPMKEihZSPeBhDBwqmKKukYQxZyCAW9FBhFqtLH38o74sXL9CFUsMUh5grcKShkXQQgwD5FBlckEFwk8Ceh/JkIqzhU/gJPkW+/Yvzavgsvf0v9PxbfwdxPoHIQxlePYn+8NDEjx8/6rvYv/lUCAy2HwvECrUVbEoCsZCGBAJRLYTNKGWWiWSihyQNEUxooBi4diqxXyYuffwBgmTf+/fvKT6rqD3gVFRgXT6Gn2hE9p/l9cr4LL39L/T81yMQYyyO8WJkgprDcvACf+PF/m9I9P9vPv1cdgLx6vfN9z8254Phoetdv+w+hzLG7MmfN09/uj2g/d+y2GzAOB+fnUAspGHWeVyziY2FTOQ8QxpiJqlU2T3KtfT+RUEogoOIDoJmFVu5PYhgs7rA0tv/Qs+/tUA86ncQaYLc5ccQPHnC/utIT4fPxefNi/9szv+91S69C/lsxWakGQ7zYv+iERjn5nNxoWfKaL78iiFnhQRE/xHOobUjDVlIsEqm1CE2iAaumnkuC49fc/3ulz62/kWEj6AgWlkRUxUfICqdhuJ4NK+tWoVP3lr4CThFvv1HZFqIls4nKnpk4tja/8jTDrOln38UpJKY75dUGEqK/lA5LW1i0KHP3GsmA/uvgzKfCp+355urPzZfv2/13/Mnm8ufb6OJaJp3n7ebWIh7sdxrhgcc5sX+M8YD8Hn7ltEcdYiUUb0QMKBHoIckU/jLotgJiag7clBI7MhAJJlImh27N65L718UGU0sOQgWVkHEX6VJaPSm+KRZxCq2ylhYCj+y52+Rb/9BT4gWzWfp7X/p5x+9bNrEfAKx6Az3FuOhatL+60jNp8KHp8ZfXm/Dh9KCkonvzjeXX26lISKPHBYyP+zyu2aFuIwj2r8U9sH4oO9ubjXRJUhAKSEGGS4MiB6JwkIaskmPnjGj+yCJQiZGzUZi6f2LglBe/kJDMlo0JATRLrEVGxgCEM0dNoCCgCCHZchxUSryY1+22j8QFs1n6e1/6eevLjb53/kEosbWMQVg3MH47OxsjHHY2H+g6E2YTy+WnFnIuFe7KVVEDUMayhiZKO0omSizIelj/8fDJ0tDrgcIFAUIeV7MtTlkIpmsxluJYcb7eewlmZirVeml969eiUZ5KRcF7NUuEU3U1l4pGaDsf918lt7+l37+0dGmTcwnEBlERgYFH/RkOXDYf6DoTZhPL5ZuZshE9N/zp9dRw65ZyMSvV1sFyV4jF/uvg2rBp5CGIfIYamKTZCLnFtKw12xIJq6gf1F2hw+px8wh2mqR7/BnNzzs63u0lm6i9fjQPeIkOfMJxDEhXO4y9ehnj7LZfx2a+dT5FFuRKWM03/ah893XDQs/Q6v2P0RG+dPyYXRmYKELhOaLoxM5QCOGTCR/jBkOFVoLP4vuXw7vrTu817p+1WuiLwwlfH0fIqP8x/Cpe95763wCUbdc9RPlFkQftamb9W61/14skWk+gaKbePfr5pf/lY+SCzO9oUhmnsJS2Gy37t5QfPmXzeXfbjfaf7A4CB9mJRMbC0mn6yUij0wWYiEhEznPMWa8BhMlUmLR/QsUlEIoSKgs0kysxlbSKOlp3z60/0yg+/Zn3nq0/DmxRbf/FZw/RWixHPVnbloU2D5NoJcA30G8+Lx5erlVeMWCNNQ3bphpoSnMvR/EYUd2xwmuuov9H5CPJCCVgjTkSsYvf0j08Jc0OeSzFWkodXivWfF8rVvdzjEBEzCBpROwQFx6Dfr8JyBAtO+3v28/cFPIuCwN2YqNzAqZmKWPzHL4kPOz/5DOB+FDFRSaj2gZHwHmL5uyTBxpNkGbOyYXwUFCWbHDiAnFVk4ZAc3DdF7TDBuCqcQUiSyyNSzlJ4pY5Me+Moit9r9Q/lHRTqyMgAXiyirUxdmTAC+98aWbLBPP/rn9LCJaUJqGrXoxLswkEzFT1DCbdU/C/g/Ih3dXImqIHNG3stE6KJX8+WtsRpqNfB+/2wyOM4eAaFelDck+yTuFYCmOdpSaLPxEYYt8qUz7Xw2fKIgTKyNggbiyCnVxHkUgyzgcDWmakWbdUxm540gz+6eCKtUUfKTnQhrmB8Sks0xklzFmKxOIKjV/kX3dIFavvJswiGj/K+BPEbysj4AF4vrq1CV6LAHpsx//3MYUSQ8tI826u4/ccaSZ/derCT6fPn3ix9wRgpKGPA8liMWXVvmrZ6OSidiMNMNhF/uic3pVmoN8UafmUw8SBygn1kTAAnFNtemy7ElgO0P5183V7/fszruG/KsvOMEVDvNi/0HjIHzi6JKGfMsQ6UMmf0mHTHyoWdivIxFPmR1EpEIjmBqVaz71N00DlBOrIWCBuJqqdEH2J8A3sT983Tz7MCgTYxrK0Exnji3pgxNc4TAv9n9YPhw9S0PmVfDhG4KFzFNhykWWidmMTRhghrGmYvSqyVzRi04TJNPXHKWe0c0UR2kS+p3lePVQ8aTYKmM9eS/8BJMi3/6DnhAtnU9UtBOrIWCBuJqqdEH2J/D+583b59vduzIxpCETnHnjjX/FTGf2ytKQVVzhMC/2T1RV0vkgfFAzihpKGhIhk75R7DDLRJlJGkoscsIYs0uWido9V/EK0pQXyQIiaUFNRpFkpHTxHqdKqq0KqgEnby38BJki3/7FeTV8oiBOrIbA2evXr5sW5uPHj03927kJPIrAv25/8hudp1CfHPKx6y/frz9qiC6M72Nvnxd/3s5uZuGXms+fbD+yrQVp+PZ88/Sn69XiP/s/AJ9//KAW0HMoGNRMFnbkoH4I26iakC/ainBRcIt8pA+aKV/I2UoUjRzpm6KKF71KqSksOlgcIMNMFNQz+XBgfjelY9I3+bBCSUOPBJnYwwS8YlL4CSZFvv3n1gilpfOJinZiNgJv3rxpeiwLxKZ47fzoCSSBqHMtZFyWhrkwWSaSX5c+eUf7zzS66Yn57ARicRSJPP3mMrKGJWRiWCKJED0s5BBUw6a4nIflOhLSfJSUglMiEPHj1HUJWNGO4Sfg2H/W1uvjExXtxJwEWgvE+X5qb05qPpYJ7E2A+B/ftSYQSDTx5V8HZzFrijEy8Zf/1qKG3dOw/y6TnNOUT5aGqB8CZlKBO5V4LROzNOTEZIZawnLFMlHylwKqLqSMFREUEPK1FakHN7AQ8SJTlmySyC78yBt/i3z7DzJKLJ1PURyvroOAI4jrqEeXYl8CnQjivo6831ESuIkgFtKQVfRNoQUlgKRdKAyrLHqiyvUbVUTmKqOJDu+tO7zXun6PsuefxEm1jiB6kspJNCMX0gROmcCrV68IAfJMmbgXD0a5Xir6hfhDKeYfU4l4GJlsUlQMY3bRXBac4AqHa+IZpVahcniPnLwVDpXwYbbMfIp8+89wCsKxSvOTWaZ3nPyL4nh1NQT8iHk1VemCmIAJ9BPQLBPCgdKFhZFkIlvjSixdWJhJJnKFxixPWynMlriq4ugpJ+ev1WDFKouYEEAlDSsVkzSKOa+SH34CBWY5X6v2vxo+URAnVkbAj5hXVqEuzgMJ+BHzA4EtzPzmEfPCTtunawImYAL3EfAj5vsIebsJmIAJmIAJmIAJmMCkBPwO4qQ47cwETGAhBPgOoj7pUjlfDPQJ6IqNN5mACZjAKglYIK6yWl0oEzCBQQKafcJEEz7+zAtzvTKRTDZhgJleUhx05w0mYAImsEYCFohrrFWXyQRMoI+ApGHMaMaEGSeFTAxpqDkrTHzWzGXLxD6izjOB7c8w5nn93FmxBBc2RRiezsUqM720lQSrcYdW+AkPRb79B5nWCQvE1oTt3wRM4PAECmmoj93kD9xIJnLtIRHTmTHgGpY/cGOZePi69BkcGQEEHEt8l4c0PShUIKuhArnXYjXkI2kWdTfKpNXwE6Us8rWL/QefdgkLxHZs7dkETOAoCHB9iqihv4N4FFXik1gRAX3nKHSeVkMF5q1824iQPJ/SlLyLTQoixmrBpsjXqv0XlFqsWiC2oGqfJmACR0SAD++xZGmo58i6SikoqGgi1578iWwMuA7p6qXvIOJE3o6oeD4VEzgoAck+ooMK/tFl+F7mkAoMG06ZrpfFX+EnylTk2383yBqspk3M9x1EikSL2fvsP336VN/X/s2nQmCw/fg7iBVqK9jU+Q4iao9QR0Q7iGcwdHAFKsoqaRhDFpcxFq5nhVmsevwJFL0J8+nFEplL50N/efHiBbpQd1MUh5g9nUv3YEg6ehw9iHyKTHejZ3GvRQJ7Xuogkxsz+lfhJ/gU+fYvzq2/gzifQOQpD68ORH0/NPHjx4/6LvZvPhUCg+3HArFCbQWbkkAspCGBQK46hD0oZZaJZHI9kzTkgsc1LAaunUrsl4kef+qNxXzWzYfSSfa9f/+e7sMqao/OVVGBdfkYfoKb/Wd5LT7rEYgxFkd9j0wwsmA5eIG/8WL/NyT6/zeffi47gXj1++b7H5vzwfDQ9a5frraJMWZP/rx5+tPtAe3/lsVmA8b5+OwEYiENs85jzCW2ETKR8wxpiJkudZXdo1zuX4GiN2E+vVgic+l8KAhFcBBx5iBoa4F41O8g6nc/owtNnrD/OtLT4XPxefPiP5vzf2+1S+9CPluxGWmGw7zYv2gExrn5XFzomTKaL79iyFkhAdF/3I7T2pGGLCRYJVPqEBsGfXSkXlJkFVc8PlOJHvP3dPrXfpTMp87t2PgQ4SMoyL2WIu7qPnQolYKAPQl1QxLaqlX6V95a+AkIRb79x5ONQDR54k+TexxySFN4aHloNLSJIYdFvv0XQIpV8ymA5NW355urPzZfv2/13/Mnm8ufb8OEaJp3n7ebWIh7sdxrhgcc5sX+M8YD8Hn7lqsp6pBLkeqFaAc9guuZLjP8ZdETHBJRd+RwhWNHBiLJRNLsqOtZmJFw/8o0umnz6TLJOUvnQ1m4p5IcpFuxShfjr9IkdPWn+5BmUV+LrTJWtyr8yJ6/Rb79Q+///u//gk+LxHwCMZrCyGI8VE3afx2s+VT48NT4y+tt+FBaUDLx3fnm8sutNETkkcNC5oddftesEJdxRPuXwj4YH/Tdza0m1xUkoK5kDDJcmLloSRQW0pBNevSMGd2HS1rIxKjZSLh/BYrehPn0YonMpfOhIPQX/tKbdBum3iQhiLaLrdjQB+mA3LOFDR0NAuqkYRm3c6JU5Me+bLV/IZr873wCUWPrmALQbjA+OzsbYxw29h8oehPm04slZxYy7tVuShVRw5CGMkYmSjtKJspsSPrY//HwydKQqxEXGAUIeV7MtSdkIpmsxluJYcb7VewlmZirVWn3ry6TnGM+mUY3vXQ+vRJtSPNJ20U0UcqvV0oGKPuv8wlQ0ybmE4g0gpFBwQc9WQ4c9h8oehPm04ulmxkyEf33/Ol11LBrFjLx69VWQbLXyMX+66Ba8CmkYYg8hprYJJnIuYU07DUbkonuX/VqNZ/V86GADh/SzjOHqPQif/LwZxxo2sR8ApGbiXtPnbsEPfq517JrYP9dJjnHfDKNe9PIlDGab/vQ+e7rhvd6loH910FNy4fRmYGFLhCaL45O5AaNGDKR/DFmOGTHcKK98mpv2uNbL5bINJ9A0Zs4Wj6cWAggzpzepO6mPhKb8qNnhw8ZZ6bi09taJsmcTyBKMtdPmhCjPmpTN+vdav+9WCLTfAJFN/Hu180v/ysfJRdmekORzDyFpbDZbt29ofjyL5vLv91utP9gcRA+zErmghSSTtczrltksnDdYtNOJW5fqx9jxmswUSIl3L8KIMWq+RRAitVF8+mVgHokSjFjK2lpxwnfPrT/oiFNu3rUn7mZtqj2ZgIVAnwH8eLz5unlVuEVC9JQ37hhpoWmMPd+EIcd2R0nuOou9n9APpKAVArSkCsxv9ygixZ/SZNDPluRhlKH95oVr893q9s5JmACJrB0AhaIS69Bn/8EBIj2/fb37QduChmXpSFbsZFZIROz9JFZDh9yfvYf0vkgfKiCQvMROOQ3HvjLpiwTR5pN0ObswgTWQiD6kW60FDuMmGhspbjcgPFoldd8w4ZoIs+jiSyyNSzlJ/AU+bGvDGLryfoPUJMnLBAnR2qHiyTAS2986SbLxLN/bj+LiBaUpmGrXowLM8lEzBQ1zGZdBPZ/QD68uxJRQy4n+lY21yquNPnz19iMNBs5367bDJxjAusjQEC9q9KGZJ/knUL4oNCOUpOFnwBV5Etl2n/waZewQGzH1p6XRyDLOM5+SNOMNOuWf+SOI83snwqqVFPwkZ4LaZgfEJPOMpFdxphZIAZbJ0xAvYa/yL5uELFX3k0YRLT/di3QArEdW3teKgHpsx//3MYUSQ8tI826u4/ccaSZ/derCT6fPn3ix9wRgpKGPM8iCMGXVvmrZ1uSidiMNMNhF7tzTOBkCfSqNAf5oj205hMHmjZhgTgtT3tbJIHtDOVfN1e/33PyvGvIv/qCE1zhMC/2HzQOwieOLmnItwy5dJHJX9IhEx9qFvZOmIAJxFNmBxFpDBFMjYbRmk8caMKEBeKEMO1qqQT4JvaHr5tnHwZlYkxDGZrpTMklfXCCKxzmxf4Py4ejZ2nIe/F8+IZgIfNUeGU+y8RsxiYMMMNYr9L3qslc0U6bwMkSIEhGl6H4uvvivivSJPQ7y/HqoV46lCVbZaw3Nwo/bNVS5Nt/0LshNP3/FojTM7XHxRF4//Pm7e477l2ZGNKQCc688ca/YqYzhc3SkFVc4TAv9k9UVdL5IHy4GilqKGlIhEPXJ8UOs0yUmaShxCInjDG7ZJmo3XMVO20CJ06A/oJkoYtJC2oyiiQjZOI9YFHSVgXV6Fx5a+EnqBb59i/OwadF4uz169ct/IbPjx8/RtoJEzg6Av+6/clvdJ5CfTpJPnb95fv1Rw3RhfF97O3z4s/b2c0s/FLz+ZPtR7a1IA3fnm+e/nS9Wvxn/wfg848f1AJ6jisQV6Ms7Mjh6kVYQtXE5UdbufAoOEE+ly6ueXkgZitREHJ0fSqq2KsmcLIE6DV0Fu6j1I/oWcxE4e6LfPoR3weADB8NIJ++xp0YvY8EmdjTp+ie6lOFn+BZ5Ns/3N68eRN8WiQsEFtQtc/lEEgCUSddyLgsDXOpskwkvy598o72n2l00xPz2QnE4igSefrNZS5LLCETw5JLGhctFnIIimCjy14YOGECJhAEpPnoKXQcMuli/Lh5XQJWtGP4sf9ebR18LBCjhThhAg0IdASijiGZ8vKvtVnMWCITf/lvLWo4dMb2P0RmYv53BWKWhly9CHjocDuVeC0TszRka5hZJtarzFtPmYDDewcJf1ognnKnc9nbExgQiO0P7CPMQuBGIBbSkFU9+YowIWeDTOSvooZaVXBRT5+lJi0TZ6k2H2RJBBw+zI/OI7wXVdiOT2uB6EkqUYlOmIAJrJPAq1eveODFM2XCgTzYYrxGHVJUniyjFPOPqUgdogvJZJMePWPMLprLghNc4XCdpFwqE3g4geg12lWrdJ+8qrsv+hE3WnRDdcDYUR0tVotTKPLtv+DTbvVP7VzbswmYgAkcAwHNMuESpctScUqSiWyN65AuV4WZZCJXOMzytJXCzKsmcGoE1B3iJV2tRl9jlUV9iugaaYlFKJHmjiuvkhl+AiNmOV+r9h982iU8SaUdW3teAgE/Yl5CLe1/jjePmPf34D1NwARM4CgJ+BHzUVaLT8oETMAETMAETMAE1kvAj5jXW7cumQmYwDCB4juIvYbMaOaVKT3S6jVwpgkslMA07d9PYA5c/W2/Y+1JKgeuXh/eBExgZgKafcJEEz7eywtP+nJbcQ5ksgkDzPSSYmHgVRNYKAG3/4VW3PynbYE4P3Mf0QRM4DAEdGmMGc2cBDNOCpkY0lBzVphxqZnLlomHqTMfdToCbv/TsTwJTxaIJ1HNLqQJnDiB4tKoj93kD9xIJipqGNOZMSg+cGOZeOINaaHFd/tfaMUd9rQ9i/mw/H30QxPwOzSHroG2x9/NYuYxMW9ccSDCgVwp4wMZOjQhQxShRKFy+O4Giz7MEaeHUkQ+6nPZvJX46dOn2OSECRwzgYbt3+PnQSv+zXe/g3jQCvDBTcAElk4APceSP5Gt58hoPoqmoKCiiejC/IlsiUKMMdN3EHEib0tn4vM/HQJqsW7/p1PjU5V0vggiN+66+d7v1O+9X7f/Oljz6efjO+B+LmvJ7XwHsYgX9sYUKXyOF7K6CymWMcXMyP0r0+imzafLJOe05hPHmrj9e/wMsodItI4gzveZG9ShnvI0wmj/dbDmU+fjrasnUFwaCaugAukXL168yDIxS0N++IHAIQOXnkFXZKL7V739mM9h+XD0pu2/XjpvXSiB+SKIDLtMBtwDE+9PsNePHz/q+9q/+fQSuKf97O6Ar37ffP9jc/6018Ft5pftk8ZRZk/+vHn60+2O9n/LguDc1WY+PrsIYnFpzDqPyA3iT0MTMpHzRMrwF2mIGS8dkq7sHuXy+BMoehPm04slMpvyqTTgx7Z/j59RhTeJOce31hHEo57FrN9tvME+/f/2X2d6OnwuPm9e/Gdz/u+tduldyGcrNiPNcJgX+xeNwDg3n4sLzUFB8+VXDDkrJCCXz/fv39PakYYsJFglU+oQm/ySIqu44kM5KtFj/p5O/9qPkvnUuY3nQ3Nt2v49vqmmDjW+1dvJY7bOF0GMiVTjT5dnQLx6eHZ2xi73RhDtvw7WfPr57O6A6djvPm++7gLcz59sLn++DRPmTcS9WIg1slTMik0YZyfF1rzJ/utg9+GziyASnuExMeowJiaTwyWTkGGoQA5NNIW/RQ6SkR1j4rOCMQxNkcMuLO5f4jD013yGyCi/KZ+G7d/j567+8jBejPBsr2zNm/YY31pHEOd7B1GPb+qdJG996AuL9p/pddPm02USOTxc/vL6thsTJqSTvzvfXH65Vo103bfn2xwWMj/s8rtm3aFBh7D/XvE9H3/U3Pmu8u7OPtHLhfEouZCGKEg9esaM7oN8xImiiXHmkXD/ChS9CfPpxRKZTfnsmn/D9u/x7bDjW7SiyRPzRRDHv2NB5JwGTeDwQRFE+683DvPp57O7A86b8i0d+VkaZjPJREUTyR+ShnkXpe2/yyTnTMwnzWKmCyABiQhyOK7HpNF8WmXMCZlYvJWVzdhLMjGfsNLuX10mOcd8Mo1uujUfjtik/Xv83NXlocb/9UQQuR0fGRTsPr7pdqdujv13meQc88k0Kum4GyZM+PzpddSwa0808TrEeLUNLrLXyMX+66Ba8CkujSHyGGpiU7ynFRNWes2KKc9RFvevQNGbMJ9eLJHZlE80cg6Xb3ImbP9RkBb9N5yTsP9Mo3X6uB4x836Pbuj3KPaYEL3918GeMp+CDMMQ/+5dtg+drx/d3Gt7x8D+7+DorEzLh6svA0u+NMYBeVjB5XPoCjpkhkN2jK0kPP5kGt20+XSZ5JymfGZo/7kspKftv4Vz++8CaZQzn0DM7/cMFYYQI+/qDm2t59u/+ezdft79uvnlf7dvGfaS1KNPNuUpLF1LPXp++ZfN5d9uN9p/sDgIH2YldyeacNUkk4XXCkMmcp6h/DQfpdeMR9JRIiU8/hRAilXzKYAUq035tG7/Ht+iNg8yvsXRJ08c9WduJi+tHZrAEAHeJuRjDU8vt3NQigVpqG/c8CYy/4a+dMOO7I6TeDEx+7H/A/KRBKQ60HxciZ89e4bsY5W/pMkhn1WkodThvWYxGzpXsdMmcJwEZmj/Ht8OOL61a3UWiO3Y2vNiCBDt++3v24kmxTCXpSFbsZFZIRPz0CCzHD6Egv2HdD4IH6qg0HwEDvlpWv6yKcvEkWaLadk+URPYERjZsEeaFVA9vh18fCtqZKrV+R4xT3XG9mMCLQjw0kz+0g2BQP5pQdPkx8rZjGhiLIVZ5Cth/wfkk9892D5UvvkgIvFC0gjEWKLWdlbX303smvF9Vl7wD2MnTOCYCczQ/j2+HXB8a9f2HEFsx9ael0dAw5zChJw9fZ40ipD8vIw0y7soPXLHkWb2TwWxDFVT8OECSRrNV/yMCpk8fWO2Mvlslf0YMzkM/06YwDETmK39jxy4Rpp1kY7ccaTZ+vx3S/TIHEcQHwnQu6+QgMaXews20qzrZ+SOI83sv0ugyCHgl3NiznLMa5ZMRCnuYZZ3cdoEjpDAzO1/5MA10qzLc+SOI83W579bor1zHEHcG513XA+B7QzlXzdXv99TIt415F99wQmucJgX+w8aB+ETR0ca8ryYbxnqc1r8JU0O+WFDYqRZ3sVpEzh+AiMb9kizKK/Ht0Bx2PEtTmOqhAXiVCTtZ8EE+Cb2h6+bZx8GZWJMQxma6UzhNTTgBFc4zIv9H5YPR8/XPD5Sw4c/+Hl35qkQRMwyMZuxCQPMMGaXbJYr12kTOH4CuWFP3v49vtEADjj+t2t+Fojt2NrzYgi8/3nz9vn2bLsyMaQhE5x5141/xUxn9spDA6u4wmFe7J+oqqTzQfjwIRtFDXVp1FRNzkSxwywTZSZpqGsqZvoOTpaJ5OT6ddoEjplA6/bv8e2w41u7tjffbzG3K4M9m8D+BNJviaLzPuxCifLGx66/fL/+qCG6MCYyb5+nfN5+EJGFX2o+f7L9yLYWpOHb883Tn65Xi//s/wB8dr/FzAWS9/SZfZKFHTkIwfiiIXJQW+MX9qg+pCSBwzxhma1MeSaneGGxqGuvmsDxEGjY/j1+HnT8b/1bzBaIx9OLfSaHIJAGOB2+kHFZGubzyzKR/Lr0yTvaf6bRTU/MZycQi6NI5Ok3l1GNLCETwxJpqG/fkEPcEZssLsPMCRNYHIEp27/Hz131H2r8t0BcXO/zCS+KQGeA09lLprz8a/mBm6JsyMRf/luLGhb2sWr/gaI3MRmfuwIxXxr19qGOvlOJ1zIxS0O2hpllYm9NOXNBBKZv/x4/Dzr+WyAuqPf5VBdIYGCAW2BJfMp9BG4EYnFpZJUXEAstiEzEBYFDOQrVqKfPPGsm3zKxj7Lzjp1Aq/bv8fOgNW+BeFD8PvjqCXiAW3cV7wTiq1ev9K1gwoGShrnQhUxkU0jDbJZlIu8gFt+Wy5ZOm8BREWjY/j1+HrSmWwtEfyj7oNXrg5uACbQnoFkmyD6iht2j6SvZbFXskET3lUT20pRnZKImqXT9OMcEjpOA2/9x1svxn5UnqRx/HfkMWxLwHXBLuof3ffOI+fBn4jMwgfUR8Ph50DptHUH0dxAPWr0+uAmYgAmYgAmYgAkcHwELxOOrE5+RCZhAewK8lcjbh/XjYKCXF+tm3moCiyPg9r+4Kpv/hC0Q52fuI5qACRySAPNUeMuQN/efPXvG1w17ZSKZbMIAM72keMgz9rFNYDoCbv/TsVy5JwvElVewi2cCJhAEdGm8uLjgK9nMaCafGSeFTAxpqDkrmGHMLpaJgdGJhRJw+19oxR3qtC0QD0XexzUBE5iPQHFp5PeXmY/87ds35ixzEiETFTWUNGQTBpjpx5otE+erLR9pagJu/1MTPQl/nsV8EtXsQg4S8Cy8QTSr2ODvIK6iGl2IxxDwdxAfQ++Y9/Us5mOuHZ+bCZjAAgjwHTgWRQ31KUQ9RyY6yNnr2bGiiYoaKtzCJgziJUV9BxEn8raAYvsUTWBHQC3W7d/N4aEE5osgMubqt6oeeoqyv/d3C+y/DtZ8+vk4gtjPZS25ne8gIg15gqyHyBSy97dVyJc0jCEL4ciClBzi4v41REb55nNYPnH0idu/x88ge4hE6wjifL+kwlDb9IMR9l9vn+ZT5+OtqydQXBoJq6AC6RcvXrzIMjFLQ355mcAhA5c0ZUUmun/V24/5HJYPR2/a/uul89aFEpgvgsiwy1vee2Di/Qn2+vHjR31f+zefXgL3tJ/dHfDV75vvf2zOB8ND146/7L6aN8bsyZ83T3+6PR37v2VBcO5qMx+fXQSxuDRmnUdkC/GnoUnzmpEynC3SEDOeL5Ou7B7l8vgTKHoT5tOLJTKb8qk04Me2f4+fUYU3iTnHt9YRxKOexcwYzV3+Dfbp/7f/OtPT4XPxefPiP5vzf2+1S+9CPluxGWmGw7zYv2gExrn5XFzomTKaj3cNuSjGw2K9Yvj+/XtaO9KQhQSrXFOlDjnz/JIiq7jiqze5fvdLn07/Mp/9CNT3Gt9+aK5N27/HN9XUoca3ejt5zNb5IogxkWr86aIOefXw7OyMXe6NINp/Haz59PPZ3QHTsd993nzdBbifP9lc/nwbTcybiHuxEGtkqZgVmzDOToqteZP918Huw2cXQSQ8w2Ni1GHoQnK4ZBIyDBXIoRGO/C1ykIzsqKktbFUwhqEpcshkcf8Sh6G/5jNERvlN+TRs/x4/d/WXh/FihGd7ZWvetMf41jqCON87iHp8U+8keetDX1i0/0yvmzafLpPI4anxl9e33ZgwIZ383fnm8su1aqTrvj3f5rCQ+WGX3zXrDg06hP33iu/5+KPmzneVd3f2iV4ujEfJhTREQerRM2Z0H+QjThRNjDOPhPtXoOhNmE8vlshsymfX/Bu2f49vhx3fohVNnpgvgjj+HQsi5zRoAocPiiDaf71xmE8/n90dcN6Ub+nIz9Iwm0kmKppI/pA0zLsobf9dJjlnYj5pFjNdAAlIRJDDcT0mjebTKmNOyEQyQxoWZqxKJuYTVtr9q8sk55hPptFNt+bDEZu0f4+fu7o81Pi/nggiY+7IoGD38U23O3Vz7L/LJOeYT6ZRScfdMGHC50+vo4Zde6KJ1yHGq21wkb1GLvZfB9WCT3FpDJHHUBOb4j2tmLDSa1ZMeY6yuH8Fit6E+fRiicymfKKRc7h8kzNh+4+CtOi/4ZyE/WcardPH9YiZ93t0Q79HsWn39+5l/3VEp8ynIMMwxL97l+1D5+tHN/fa3jGw/zs4OivT8uHqy8CSL41xQB5WcPkcuoIOmeGQHWMrCY8/mUY3bT5dJjmnKZ8Z2n8uC+lp+2/h3P67QBrlzCcQ8/s9Q4UhxMi7ukNb6/n2bz57t593v25++d/tW4a9JPXok015CkvXUo+eX/5lc/m32432HywOwodZyd2JJlw1yWThtcKQiZxnKD/NR+k145F0lEgJjz8FkGLVfAogxWpTPq3bv8e3qM2DjG9x9MkTR/2Zm8lLa4cmMESAtwn5WMPTy+0clGJBGuobN7yJzL+hL92wI7vjJF5MzH7s/4B8JAGpDjQfV+Jnz54h+1jlL2lyyGcVaSh1eK9ZzIbOVey0CRwngRnav8e3A45v7VqdBWI7tva8GAJE+377+3aiSTHMZWnIVmxkVsjEPDTILIcPoWD/IZ0PwocqKDQfgUN+mpa/bMoycaTZYlq2T9QEdgRGNuyRZgVUj28HH9+KGplqdb5HzFOdsf2YQAsCvDSTv3RDIJB/WtA0+bFyNiOaGEthFvlK2P8B+eR3D7YPlW8+iEi8kDQCMZaotZ3V9XcTu2Z8n5UX/MPYCRM4ZgIztH+Pbwcc39q1PUcQ27G15+UR0DCnMCFnT58njSIkPy8jzfIuSo/ccaSZ/VNBLEPVFHy4QJJG8xU/o0ImT9+YrUw+W2U/xkwOw78TJnDMBGZr/yMHrpFmXaQjdxxptj7/3RI9MscRxEcC9O4rJKDx5d6CjTTr+hm540gz++8SKHII+OWcmLMc85olE1GKe5jlXZw2gSMkMHP7HzlwjTTr8hy540iz9fnvlmjvHEcQ90bnHddDYDtD+dfN1e/3lIh3DflXX3CCKxzmxf6DxkH4xNGRhjwv5luG+pwWf0mTQ37YkBhplndx2gSOn8DIhj3SLMrr8S1QHHZ8i9OYKmGBOBVJ+1kwAb6J/eHr5tmHQZkY01CGZjpTeA0NOMEVDvNi/4flw9HzNY+P1PDhD37enXkqBBGzTMxmbMIAM4zZJZvlynXaBI6fQG7Yk7d/j280gAOO/+2anwViO7b2vBgC73/evN19Z70rE0MaMsGZd934V8x0ppB5aGAVVzjMi/0TVZV0PggfPmSjqKEujZqqyZkodphloswkDXVNxUzfwckykZxcv06bwDETaN3+Pb4ddnxr1/bm+y3mdmWwZxPYn0D6LVF03oddKFHe+Nj1l+/XHzVEF8ZE5u3zlM/bDyKy8EvN50+2H9nWgjR8e755+tP1avGf/R+Az+63mLlA8p4+s0+ysCMHIRhfNEQOamv8wh7Vh5QkcJgnLLOVKc/kFC8sFnXtVRM4HgIN27/Hz4OO/61/i9kC8Xh6sc/kEATSAKfDFzIuS8N8flkmkl+XPnlH+880uumJ+ewEYnEUiTz95jKqkSVkYlgiDfXtG3KIO2KTxWWYOWECiyMwZfv3+Lmr/kON/xaIi+t9PuFFEegMcDp7yZSXfy0/cFOUDZn4y39rUcPCPlbtP1D0Jibjc1cg5kuj3j7U0Xcq8VomZmnI1jCzTOytKWcuiMD07d/j50HHfwvEBfU+n+oCCQwMcAssiU+5j8CNQCwujazyAmKhBZGJuCBwKEehGvX0mWfN5Fsm9lF23rETaNX+PX4etOYtEA+K3wdfPQEPcOuu4p1AfPXqlb4VTDhQ0jAXupCJbAppmM2yTOQdxOLbctnSaRM4KgIN27/Hz4PWdGuB6A9lH7R6fXATMIH2BDTLBNlH1LB7NH0lm62KHZLovpLIXpryjEzUJJWuH+eYwHEScPs/zno5/rPyJJXjryOfYUsCvgNuSffwvm8eMR/+THwGJrA+Ah4/D1qnrSOI/g7iQavXBzcBEzABEzABEzCB4yNggXh8deIzMgETaE+AtxJ5+7B+HAz08mLdzFtNYHEE3P4XV2Xzn7AF4vzMfUQTMIFDEmCeCm8Z8ub+s2fP+Lphr0wkk00YYKaXFA95xj62CUxHwO1/OpYr92SBuPIKdvFMwASCgC6NFxcXfCWbGc3kM+OkkIkhDTVnBTOM2cUyMTA6sVACbv8LrbhDnbYF4qHI+7gmYALzESgujfz+MvORv337xpxlTiJkoqKGkoZswgAz/VizZeJ8teUjTU3A7X9qoifhz7OYT6KaXchBAp6FN4hmFRv8HcRVVKML8RgC/g7iY+gd876exXzMteNzMwETWAABvgPHoqihPoWo58hEBzl7PTtWNFFRQ4Vb2IRBvKSo7yDiRN4WUGyfognsCKjFuv27OTyUwHwRRMZc/VbVQ09R9vf+boH918GaTz8fRxD7uawlt/MdRKQhT5D1EJlC9v62CvmShjFkIRxZkJJDXNy/hsgo33wOyyeOPnH79/gZZA+RaB1BnO+XVBhqm34wwv7r7dN86ny8dfUEiksjYRVUIP3ixYsXWSZmacgvLxM4ZOCSpqzIRPevevsxn8Py4ehN23+9dN66UALzRRAZdnnLew9MvD/BXj9+/Kjva//m00vgnvazuwO++n3z/Y/N+WB46Nrxl91X88aYPfnz5ulPt6dj/7csCM5dbebjs4sgFpfGrPOIbCH+NDRpXjNShrNFGmLG82XSld2jXB5/AkVvwnx6sURmUz6VBvzY9u/xM6rwJjHn+NY6gnjUs5gZo7nLv8E+/f/2X2d6OnwuPm9e/Gdz/u+tduldyGcrNiPNcJgX+xeNwDg3n4sLPVNG8/GuIRfFeFisVwzfv39Pa0caspBglWuq1CFnnl9SZBVXfPUm1+9+6dPpX+azH4H6XuPbD821afv3+KaaOtT4Vm8nj9k6XwQxJlKNP13UIa8enp2dscu9EUT7r4M1n34+uztgOva7z5uvuwD38yeby59vo4l5E3EvFmKNLBWzYhPG2UmxNW+y/zrYffjsIoiEZ3hMjDoMXUgOl0xChqECOTTCkb9FDpKRHTW1ha0KxjA0RQ6ZLO5f4jD013yGyCi/KZ+G7d/j567+8jBejPBsr2zNm/YY31pHEOd7B1GPb+qdJG996AuL9p/pddPm02USOTw1/vL6thsTJqSTvzvfXH65Vo103bfn2xwWMj/s8rtm3aFBh7D/XvE9H3/U3Pmu8u7OPtHLhfEouZCGKEg9esaM7oN8xImiiXHmkXD/ChS9CfPpxRKZTfnsmn/D9u/x7bDjW7SiyRPzRRDHv2NB5JwGTeDwQRFE+683DvPp57O7A86b8i0d+VkaZjPJREUTyR+ShnkXpe2/yyTnTMwnzWKmCyABiQhyOK7HpNF8WmXMCZlIZkjDwoxVycR8wkq7f3WZ5BzzyTS66dZ8OGKT9u/xc1eXhxr/1xNBZMwdGRTsPr7pdqdujv13meQc88k0Kum4GyZM+PzpddSwa0808TrEeLUNLrLXyMX+66Ba8CkujSHyGGpiU7ynFRNWes2KKc9RFvevQNGbMJ9eLJHZlE80cg6Xb3ImbP9RkBb9N5yTsP9Mo3X6uB4x836Pbuj3KDbt/t697L+O6JT5FGQYhvh377J96Hz96OZe2zsG9n8HR2dlWj5cfRlY8qUxDsjDCi6fQ1fQITMcsmNsJeHxJ9Pops2nyyTnNOUzQ/vPZSE9bf8tnNt/F0ijnPkEYn6/Z6gwhBh5V3doaz3f/s1n7/bz7tfNL/+7fcuwl6QefbIpT2HpWurR88u/bC7/drvR/oPFQfgwK7k70YSrJpksvFYYMpHzDOWn+Si9ZjySjhIp4fGnAFKsmk8BpFhtyqd1+/f4FrV5kPEtjj554qg/czN5ae3QBIYI8DYhH2t4ermdg1IsSEN944Y3kfk39KUbdmR3nMSLidmP/R+QjyQg1YHm40r87NkzZB+r/CVNDvmsIg2lDu81i9nQuYqdNoHjJDBD+/f4dsDxrV2rs0Bsx9aeF0OAaN9vf99ONCmGuSwN2YqNzAqZmIcGmeXwIRTsP6TzQfhQBYXmI3DIT9Pyl01ZJo40W0zL9omawI7AyIY90qyA6vHt4ONbUSNTrc73iHmqM7YfE2hBgJdm8pduCATyTwuaJj9WzmZEE2MpzCJfCfs/IJ/87sH2ofLNBxGJF5JGIMYStbazuv5uYteM77Pygn8YO2ECx0xghvbv8e2A41u7tucIYju29rw8AhrmFCbk7OnzpFGE5OdlpFneRemRO440s38qiGWomoIPF0jSaL7iZ1TI5Okbs5XJZ6vsx5jJYfh3wgSOmcBs7X/kwDXSrIt05I4jzdbnv1uiR+Y4gvhIgN59hQQ0vtxbsJFmXT8jdxxpZv9dAkUOAb+cE3OWY16zZCJKcQ+zvIvTJnCEBGZu/yMHrpFmXZ4jdxxptj7/3RLtneMI4t7ovON6CGxnKP+6ufr9nhLxriH/6gtOcIXDvNh/0DgInzg60pDnxXzLUJ/T4i9pcsgPGxIjzfIuTpvA8RMY2bBHmkV5Pb4FisOOb3EaUyUsEKciaT8LJsA3sT983Tz7MCgTYxrK0ExnCq+hASe4wmFe7P+wfDh6vubxkRo+/MHPuzNPhSBilonZjE0YYIYxu2SzXLlOm8DxE8gNe/L27/GNBnDA8b9d87NAbMfWnhdD4P3Pm7e776x3ZWJIQyY4864b/4qZzhQyDw2s4gqHebF/oqqSzgfhw4dsFDXUpVFTNTkTxQ6zTJSZpKGuqZjpOzhZJpKT69dpEzhmAq3bv8e3w45v7drefL/F3K4M9mwC+xNIvyWKzvuwCyXKGx+7/vL9+qOG6MKYyLx9nvJ5+0FEFn6p+fzJ9iPbWpCGb883T3+6Xi3+s/8D8Nn9FjMXSN7TZ/ZJFnbkIATji4bIQW2NX9ij+pCSBA7zhGW2MuWZnOKFxaKuvWoCx0OgYfv3+HnQ8b/1bzFbIB5PL/aZHIJAGuB0+ELGZWmYzy/LRPLr0ifvaP+ZRjc9MZ+dQCyOIpGn31xGNbKETAxLpKG+fUMOcUdssrgMMydMYHEEpmz/Hj931X+o8d8CcXG9zye8KAKdAU5nL5ny8q/lB26KsiETf/lvLWpY2Meq/QeK3sRkfO4KxHxp1NuHOvpOJV7LxCwN2Rpmlom9NeXMBRGYvv17/Dzo+G+BuKDe51NdIIGBAW6BJfEp9xG4EYjFpZFVXkAstCAyERcEDuUoVKOePvOsmXzLxD7Kzjt2Aq3av8fPg9a8BeJB8fvgqyfgAW7dVbwTiK9evdK3ggkHShrmQhcykU0hDbNZlom8g1h8Wy5bOm0CR0WgYfv3+HnQmm4tEP2h7INWrw9uAibQnoBmmSD7iBp2j6avZLNVsUMS3VcS2UtTnpGJmqTS9eMcEzhOAm7/x1kvx39WnqRy/HXkM2xJwHfALeke3vfNI+bDn4nPwATWR8Dj50HrtHUE0d9BPGj1+uAmYAImYAImYAImcHwE/Ij5+OrEZzQnAUeY5qTtY5mACRwHgeI7oL0nxeu5xXdAe82cuVYCjiCutWZdLhMwARMwARMoCTBPi7dsmbny7Nkzvu6JCiwtdp+IZxMGmOkl3a6Nc1ZPYCaByM0K7Sxo0vJYYjXmWJFDY2WVN8G1lQSr0YILP+GhyLf/IKOE+fRyCErmYz4icJrjT3QEJ9ZNQNLw4uKCr8Qzo5/CMuOqkIl0AS6gZGrOFmYYs4tl4rrbRm/p5hOIXINpnToJ0jS+UIG6PEsF0hZZDflImkUtlX21Gn6iSEW+drF/81HDcPuJuyz3Lw0jHn9icHDiFAgU0pDfH+f6+O3bN+bsU3y6g2RiloZswgAz/Vi5ZeIptJOijDMJxGiFOrxWQwXmrXxLQj9dIHkXmyQfY7UoRpGvVfsPSubj9iOV7P5Fp/D4ECODE6dAgPvDiBpKGup7TwoKZpmoUYIOQqY0JXz0gacsE3F4CtxcxpkEoi5L3IIo+Id04wcJePu1VwWGDdVDC87ipvAT9Vfk278Ymo/bD20gepBUsvuXx4difIiBwolVEuA7iCxZGjIU0At0/c0ysZCGGGCmcSNkorytEpQLVRCY7zuINLUXL16gC+MqxT0NwUK1UVoh9y60To1ctEXkIw2aBPZEvzlv7mloyoWfKE+Rjx/7DzgkzMftx/3L408xDsQQwYCp3xKMnAcl7v1dGfuv82zNJ47O9ZRLLYtyuARzaK6zYaAE7YSLcjQJhg4Wrr+F2cbfQSyJzLre+juIm9eNlx9poS0C7/3798pjsGYVFcgqF29xJcEqmaxiL0uaJqv81WrhR5n8LfLtP8j0cjMf8xEB9y+PP4SFNALv97foSt1V++8yyTmt+XAsGrl6uqqYI+oSwCqXTl2IMSOhKyn5GOQTY3ddoG/P/J+bH/53OAKN5dvr+SKItLbi5pUbFwf51Ff113wYfRwkpl/QHhxE9/ighy0xRDQdH3DOK0BxrPEJvY6GYqjvYv8H5FNEDdF5LAoH0suIJqrqpQsVNUQaYkMQkdOu7K4I4tXvm+9/bM474cWiyF92n9MZY/bkz5unP93ubf+3LNBRV5vg0zqCONM7iCoe1zyaIG2RuaXkqPFFEFt3KhH61lat0pTz1sJPsCvy7V+czcfthzaQe1D0Pvcvjz8xPjw0UYSXHrr7vfb2X0c0ng+BGPV0NB834YhCqUP8c5VE//FYD2/0BRYSrJKpCyg2GLNLBCBxhcN8bhefNy/+szn/91a79C7ksxWbkWY4zIv9i0ZgLPhkVtOmZ/0lFdoc7Y8C6E6Fe8pIk5CaoQWrhLTIvFXGusgVfmTP3yLf/uNJgRCZj9uP+1eMKh4f8vjAVb+4n4xxdShBb+KefGhrkW//BZBitSkfej2yj7+hC2n8HJEGIBXIXxZdc0nEuZHDJZsdqWjJRNLsqIE0zN6eb67+2Hz9vtV/z59sLn++jSaiad593m5iIe7Fcq8ZHnCYF/vPGLt8Mqtp07MKRBoWZx/NVA1RjRLtEluxofnqViZsiDvSmjUehWU0d0Ep8mNftto/EMzH7Yfe5/6lccPjQx4/s1jUcFr/+1A1af91nk35MO5p6FPfp+UrUkMlclFgTFBf0F+dJ9dlNunRM2acHjk4kUwsysJT4y+vt+FDaUHJxHfnm8svt9IQkUcOC5kfdvlds0JcxlHsXwp7iE+Amjwx3zuISLTuZGSane7jaZpqqdKLNERaMIFuNVkaJS2Vl2fJL/wEkSIft0yatn/zgYDbj/uXx4f6+MmAKTUQI8ZQglgU4/DZ2RlhJCYvk8BywncQ7X+IvPL348O+VDHjgKQhV0bSXG21qviirrZZGhZmrEom3p5hZxZzyMTrs/3zNhwoaXi7141M5M1FLeOlj/1njK3fQZxvFrNCF/zVBCiaGuXUzCleblCZSbCVTFZpsrJEJrKKvVYLP8rkb5Fv/0Gml5v5mI8IuH95/KElFA8NNSD3/sUSezZFgnTRm7qr9t9lknOa8uGSqgGfmiKhy66OnjdxzWVRpVfM7mwamMD72983L/+yef/zPXOcMcAM44dOhbZ/EWs9i3mmR8zcvsfzTdoftzLcuNDOuBNlNTbpkYfuYyT4Yqsii4UfNWX+Fvn2H/SEyHzcfmgS7l/qFx4fivGBUYLROIbToQTDiAJOQwaVfPuvwGFTUz5cYXXBLeN/N7+SUgQX7zXDoa7dQ4XiofC9s5XZdxtZvPu64ZDDIt/+CyCtVlsrUN2maDzir1bVGeI+RmVrFD7kiPZv/r3tUJn8NR/zOeXxJzpCPaGvYUfgMBIMsPUdR261/zqovfnQtuNqyyFYjRFPzV7HxWak2e1euwji2+fbCSj1eCExP54j868eL8QJrnCYY4r2HzQKPq3126yfuWklcu3XBEzABEzABEygjwCPDhTwIwbMAzomA+ipHX9Jk0M++2Ez0kzPIvKheJvw4vPm6eV2Dkqx8NagvnHDTAtNYe79IA47sjtO4sXE7Mf+63wyqynTrRWobk244dBJ686D2xRWiSNqa9zNaFXxRV6N0qreitCdTeFHBvwt8u1fnM0HAm4/7l8eH+rjZwwU9cTeEay629hq/4GiN/EYPnQBjQO6EJOmSRQ52Iw0uz29m3cQFSCU84gm5kzFDrs5xMYUFdO+QyHGvKP9R0CxtX7zJJUffkmfQUGdkwQ9X/IaXaVRwHzMh5bQqzJ7ZYfbD7jyWzSLaD/q7PW/jxEodc/aav91Snvz0Y4hDTXO61iks0yUDX/JrJjh8PpUbwSiJEuWceGqq/lGmoUMisTIHUeahdtIjNxxpFm4jcTIHUea4XY9ArF3lHQQMUYE8+lVG+YDAQdBe+WpHzJMOH5GR6sk9hYoFZ95k/1nGt303nw0RbrQfNl/loljzPT66dbDXYGo1dA3XWmY7Uea5V3sv6DRWiDO9w4iby1olNfbD7zrwOjG1CrmT+l+hb9s0ssQmnMqy9iq2c2Fn7hNKfLtP+gJkfm4/bh/aZDhr8eHYnyIgdSJ9RFQwI+rKlcBSsc1l/bPByz5q+sv+WyVZBxjJqk6BErftUbK8PXsylzmkWbdo4zccaTZ+vx3S7R3znwCkVMMgZhVYO9lW8M3H26VUsSGIMqQmozC23+v2jYft5/e2wP3L7qGx58YH5xYPQFJQ35CgospheUv6ZCJUfyRZrf2/IbKr5ur3yOjP8E0i+4UlsIUJ7hiXkteth/Htv8dkV4+mdW06VkFIlcpvZqj1km7pDBKk1AYPO5rNXDHVhnr950KP0GkyLf/oCdE5uP24/4VY47Hh2J8iIHUifURyJqPaItez+CtHj3HC5mYzdik134wVoAmzAo+H/j1vK+bZx8GZVzMwB2a6YxDSR+c4AqHebH/Op/MauJ062fY+UWHB729LinZ+15a4ScOUeTXZ1fYv/lEy1HC7UevpRccglKR7/YTZNbRforidFf3fgeu66o3x/57sUTm3nz0bA3pENIwfJKgX+tqGNoipGE2k0yUDQ6vN+3eQfz2dvvlwlhIk6O35YoZyryVqCVmImNW2V1OKgYn7r+1fms+Cya3MLVC2pkyaay0FVonq4+ZohGHsH+hKDiYj8bHGNTMR1IPDmob5uPxJ0YJJ9ZHgA7elYbITd0QqrySiYwJuiIrEwPMMhDJxBhLJeB6ZRy/oYcK1JJnq8TcFDZhgFksWVlmz/YvRF0+6xGIuibRTNXaHH7IvY60+Wi0KjgEpSLf7SfIKGE+bj9x2dYtEE2CtgEWXV3qfIrm5NUVE5DIu9Ycdz9nE6Wmtei+EbOuuAyze2VclobZOMtEDtGVPtk4p4to4on7by0QZ/otZlqA3imMNqd3oTQHhTkrWtVWXoPg5RjGOL0kFJt4ha7rhxwt9m8+bj/uX8U4cDM8ePzp/yXu4OPEKRDggsv1lNlpFJYrLNdZVlkYN1h0BdHlmEwBkdnFxYXM1L8qrJ7+tLn82+bt+fY9wpd/HZzFrCnGzD755b9bY/Yaudj/SFCTmJ2hQCdxNOTk48ePbELz8X4rNyIxf5kGR8sjn620OTU+6UV0IQ2X218S2PNbQNhwQ0PzLfzEQYt8/Nh/wCFhPm4/XADcvzz+5HE4DxFOr5tAIQ1Z1eWVKy+Lys4QQSKvSjVy+eAazUWZrVzEybyVif86Wze3Iy/dm+9t9dtMs5jV5tT+ognqchWr2kpbpCGiHXvDh4WfqLwiX6v2bz7RMHRzHKtBRoki3+3HfE5q/Cmq26srI/Dq1SsiJgQOubASeeEiq+bNqMhVMp4mM+5p6ONaTCabNGxizC7syO44wRUOV4bIxeklMNMjZn3CJm47tKo2ymmxyqK2yA0K6ZCSpGmReRX78BNFwizna9X+zcfthzYABBb3rxg3oAEWjw8xPjixbgJq8FxGo83n8komsjXUocaKbEOafZGJLJjJYWHg1fURmOkR8/rAuUQmYAImYAImcNIE/Ij5oNW/kkfMB2Xog5uACZiACZiACZiACTyAwEyPmB9wRjY1ARMwARMwARM4fgL/+HH857jmM3zzpmnpZpqk0rQMdm4CJmACJmACJmACJjAhgZkEIr+Bm+c98bZ4vDBOYdikH8klzXcoWOVNWBWSBKv6OAU5hR/ZdPPtP8goUXAzH/MRAfcvOHj8aT0+FN3Nqysj0Lr92L8aTMFhjlbU+kvc+uS6Jj3xAXetMlWZsulD/+SonMyrJ00mq0ynl6XmL/NXq4UfZfK3yLf/INPLzXzMRwTcv+Dg8af1+Fl0N6+ujEDr9mP/ajAFBzJb67eZfotZsg9donL6d9KKAcJ88u1BtJOgZD7mE3eJ3D3G7SVYuvLO7efY+ERHdmKVBDw+H2p8XolApFdoWO8NIvaO8kNBxMJP9LciPwfJ7N/8C3kR7dDtpwgiFv3IfMxnkvEzGpITqyRQjBu+/ha13IjPegSibzIOdZOhlmr+5l+oZJoEbaP38u8g3LEF4Zbef7kl4wHZ3ktxue2u2n+XSc5pzWfp7XOh578egUhjbSSioxvYv1AUHMzHQaBeFUg7UdswH/OhJRTjxrRBIKShXgbY728MYkMJ+x8io/zWfDhK0/Zj/8XtvR6CrUogLlSkR8fz+TsIV/RSmgTNo1deOAjnIBwE6ir8dNoPJf201yJBGYPwUML+h8govzUfjsIhqKwY91Awbv+5UlrwaS0QZ/rMjTo5P+bIcMlvKzNbmxx96ebr16/aqlsc/RxkbNUqPw2ZtxZ+tDt/i3z7F2fzcfuhDeQexKp6h/uXx5/Zxoc40MgEUuORca/6gex/Wj6+/mo4LTgE5CJ/cn0SB5owMesvqfA5Qw3HikXrY4dKUySpGT3tYvXy8pK/sVXGGi8KP4GjyLf/oCdE5uP24/4Vo4rHhznHB66dxf1qjNtDCXor19ShrUW+/RdAitXWfDicry/zX1/+7//+r6joaVdnFYjS11yiiOhQDCloCUHaVmxlE2M3UpI7vLAh7shwpvEiLOUniBT5sS8G9g8E83H7kUB0/6I7eHyYc/wsxGgM2kOJh6pJ+x8iqfzWfDiKry+Hvb7UG8CeW1s/w45n8L3vadFqZaDrFn+1qtas1zDJQSlSPB7hky78yL6br+f99m8+EHD7cf8qxg2PDwCJwWGG8RPgI19B1DjPgE88hhPThS2fam/a/nuxRGZrPu5farcFh+Bf5GNMw368Pmmt32b6UDaYei9RvUzFjou64NbfdY0KsH+hKDiYj9tP79jk/jV0z+nxh0FDt+gTjs96+ia1V/8bujAS2Mc4NpSw/yEyym/Np7juTN5+7F/1WHBYiUDsvUQ9Xj5Hl7D/3qHcfCDg8GExpmjsdnje489s4wMHor2hUeqLWiY22CMKIzFGINp/1GZvoikfX38Pdf1diUDsvUSJqcYChgAaGWkySU8Y3rB/CJg/ELoclNnN14XK7dN8uKwyHA1JSfMZySdA1RM8g4Z26MJIkFnfceRW+6+D2puPry8CW3AI2kX+hNeX1gJx1s/c0M+9mIAJmIAJmIAJmIAJHDuB1gpUItoh6EOFoM3fj5h771+J/ahtmI/5tB6fI5RST+wdwaq7ja32Hyh6E3vzad1+7H9IP7TWb56ksn05BhX/mKdIvc13wqfk9s9w1nsV7+02ZFKh5g8E84kLoduPUBQcZuMTB6ok9hYoFZ95k/1nGt30Y/gU7So/RfX1C9SN+KxHIPa2kiFZpublIIf5xCjm9tOr9swHAg6C9l5+jmr8jIZaSTxGoFTcxib7DxS9icfw8fh8kPF5PQKRFtk7ivViJdNBIN+EFaOY24+AFByCUpHv9hNkermZz8x8isN1Vx8jULreujn232WScx7Jx+OPYBYcgnCRP8n4syqB6JuMXjUcDch8zIdBRO1Bw8dRBYHcPt0+H9M+Y6AbSjxSoAy5jXz7DxS9iUfy8fgw//jQWiDOOouZX3bSZU+/yKzfpVGaeCEfNeCvfq6HhH4IK7bKWL+/VPjBWEuRb/9Bz3zcfty/PD4cdvy8Gaf9/zoJuH+tsH+1VqD5TgV9Tc8YOXtgfAA2DmH/3MNBo+BgPr23ttEOzcd8aAN7PwBy+xnZfgLUUOKREawht5Fv/4GiN/FIPsV1pz7709f3Sfi01m/zzWKmRY5/aqamhr3ace/YHU/foq3bv1AUHMzH7af3Eu7+xf0qQw0dxHyAUIwblak/+43PMRA5sUoCrduP/avZZA7rEYi+veAiRAUXHGKkKPInub0I593j2n+GYz5IJbfP4gU7uiQNo1c7Ovxc19ZdPkV38+rKCPj6dZDxcz0CMcte+sbkt6f2rxGn4BDDUJFv/kGml5v5mI8IOPzcK5EZTx7Ep2hOXl0ZAV9fVKEFh6jlIn+q68tKBKJvLw5yexGt0/zN3+ExBmX1CIfPY2RQovX4UBzOqysj0Lr92P/Q9WslAlEzKOOtwSyf6So8rWDJCIZuTws/0c2KfPsPMkqYTy+HoGQ+5uPxp934HB3NiVUS8Ph5qPGztUD8k8RZ679qQPpyDcfSqr48olVymCRPGm1HWo91tOn79+95lczwQ1qL/fdyuMFzDTy4mX+Q6eVmPuYTDcPjD92B5THjc9GcvLoyAjQPSuTrS8EharnI1+qE+icONHniDAU6udPs8OPHj3nVaRMwARMwARMwARMwgUcSePPmzSM91Hef9UPZ9VPxVhMwARMwARMwARMwgWMgYIF4DLXgczABEzABEzABEzCBIyJggXhEleFTMQETMAETMAETMIFjIDCTQOQ3Cl+9ehUF5m3WeKGVTDbpRwxJX11dsfrlyxcZk2CVTK0WfpTJ3yLf/oNMLzfzMR8RcP+Cg8efpY+fRXf2qgmYwDQEWk+T7p3+7c/QFB870LSmdp+ZsP/edhi1YD7m48/cLHf8iY7shAmcFIHW+m2m32L2hy7z5Qd9XDRi8zEff8g6+gVKhdvfoY+h6jcJ6DJ0IpqNbpTdfk65/RTDqVdN4EQIrEQgUluNfmom2oH9C0XBwXz0Ec3i8hnBEvMxn16VST9S2zCfRfCJjuyECZwOgdYCcb7vIPK204sXLwgS6IXCy8vLi4sLRmG9bshbcR8+fGAsJp+QAN+Q/Pr1K0ECEtg/e/aMTMYpPtZa+FH8gL9Fvv3Hi5tCZD5uP+5fHn+KcWA14ycDPpeMKM5DE58+farvYv/mUyFwqPbT+juIMz1ilqIvglsM1hCvPCryTbz55HtBt5/efhSIzMd8uAsCgl5ZOanxU68RVy7h9U3RiYYS9j9ERvnmcxA+64kg0j+Lm1cH+Rzkc5CYqzj9gt7hILrHBwe59w5y03j4UcS6Cuzdyhx28rm6926NTPsPFL0J8+nFEpmN+LSOIM70mRth4nkxl0O6sT5qwxWR/HguoFsQHjTLWFu1ypPlvLXwE3VQ5Nu/OJuP2w9tIPcgVt2/PD6sbHyIgW5kgkdYj4x71Q9k/+ZTJ1Df2rr91I+urX8aYzSVDQEzyUE9C0NT41lpEhqt9Eo4q8QX81YZqz8XfjDTUuTbf7A1H7cf9y+PDysePwklFHr35rIw+D80iCkMbr67wf7v8ijXzKckcne9NZ+7R5tsbVaBCCNOHAlIRIeE7uAlBBm7YyubuJwjJVHQYUPcEbmj/hyW8hMwivzYFwP7B4L5uP3oBsz9i+7g8WFN42dxMxwXhaHEQ9Wk/Q+RVL75HJZP/eh7b51PIPZKtCHNp7E7oolSNr1SMkpu/+ZT3Hu4/bh/eXyAwCmMn9z7FXo3qr5IEHfA+OzsrMivr9q/+YjAcbafeu3sv7X1LJiY2qOrNX+VoxuOyhRmqkGW9a/m2r/58Gq/OkCewun2AxP3L48PJzI+jH+bEEtaBb0jEqSjnQwl7H+IjPLN5yB8Wuu3mSKIDu85vOfwHtch3SbpCa/DewDR4vHB48NjxgdakSIONw2q/3+aWcyJ7LcYzrX/YTbbLeZzWD71o++/tbUClazWdZG/WlVjUniDHJ19o/CP/UPA/NXwCg7KNB/6o/l4/Fnu+BwduZ7Q14wjcBgJLkD1HUdutf86KPOZnE9r/TbrZ272l7He0wRMwARMwARMwARMYDYCrRWoJHPvW2JDcQvFF+PXcnmZDBq9b1OFHrd/8yniH24/7l8eHyBwCuNnVHQ94QiW+dQJ1LceYftprd/m+6m94umeVGCvrCETRehJBkOy2Hzoxm4/xVjm/iUgBYegVOS7/QSZXm6L41MUp3f1CC/wvec5lOnzHyKj/BPksx6B6CBfrxqOFm8+5oOIUXvQ5dlBUDgISK+8Mx/zifFzTOIEBcQYLGFjPoGiN3GEfNYjECHeO8r3ygIHycC1uJt416+GlYJDjDVFvus3yPRyMx/zEQHuBHicMqSGC0qV1SO8wFfOtrvJ599lknNOkM+qBKKDZL1qOJq4+ZgPIlLtQfLIQbIhWWA+uos2nxg/702coIC4l0k2MJ9Mo5s+Qj6tBeKss5j50r2GdX2MSr97Fh+m0pc29dF/7hf1YyqxVcb6faTCD8Zainz7D3rm4/bj/uXxYd3j5811wP+bgAlMRKC1As0y/EEPjiUle0NKhZ84RJFffzBh/+YTLUcJtx9i2KAoOASlIt/tJ8i4/ehydNj2U1RHd/UII0Ddk6zk+PwrcNh0gnxa67f5ZjFTf9JkY56a6VKEvRpE78tb4Scajf0LRcHBfNx+HvP2gtuP288i2k80VCdM4EQIrEcgOvxw2Ntr8zf/4gVHmgTDaO+1Pz4yFeOs24/bzzG3n2ioTpjA6RBYj0AswlqVz7fqUuTwIU9tKpdw8zGfPA66f4lGwSEQFfkef4JML7fF8SmK41UTOAUCKxGIDj84/HDM4Qe3T7dPt88IGy/u7dJTkAIuowl0CaxEIGoGZbw1mG9PKXP3Beeh8FjhJ3gV+fYfZJQwn14OQcl8zCdLZI8/EZ6nYRz/+Bwd2QkTOCkCrQXin9T5W//VBVhfruFYWtWXR7RKDh+hII22I83dvE6J9Pfv3/Mq+eFHNvyVw8jXqv2bj9uPegcc3L88PhTj5GrGhyiIEyZgAhMSOEOBTuiu6+rjx4/dTOeYgAmYgAmYgAmYgAnsTeDNmzd77ztmx1k/lD3mhGxjAiZgAiZgAiZgAiZwWAIWiIfl76ObgAmYgAmYgAmYwNERsEA8uirxCZmACZiACZiACZjAYQnMJBD5DdBXr15FUXlbPF4YJ5NN+pFQ0ldXV6x++fJFxiRYJVOrhR9l8rfIt/8g08vNfMxHBNy/4ODxx+Nn7zhZjBJeNYGTI9B6mrTmnGv2nD9zU3CICflFvj/TE2TcfhiS4hN9RTsJSkW+20+Qcftx+9FF/TGfMSqak1dN4EgItNZvM/0Wsz9EnIcnrt9F8zIf8wkVqN/8oEnQSMDSvby5/cDEfIY+1uj2M/mHvovh2qsmcCQEViIQoalhqzeI2HsVrA9/4Sfqyf6FouBgPvqIZiG/3H7cv+oq03zMJwZPJ0zgOAm0FojzfQeRt51evHhB8EMvFF5eXl5cXDAK63VD3or78OEDV3HyGZj4xvXXr18JEpDA/tmzZ2SiI/nYb+GHfC1Fvv3Hi5vm4/bj/uXxwePnY64vXFC4JN1cbR78/6dPn+r72L/5VAgMtZ/W30Gc6RGz1HcR3MpvSjmICCLz6W0ncetmPubDQAEEvZJBexAQB4k9ftISmo4Pes23cgmvb1JDrfy1/wocNplPL5/1RBDpP76J9038Y27i3X7cftx+/BCmGAdCmRX50z5Ewjk/+hrHGp9gjjzGXN3ru9i/+fQSqLef1hHEmT5zo5LzvJibPLqZPmrDYy/yI26vWwQeNMtYW7XKk+W8tfATWIt8+xdn83H7oQ3kHsSq+5fHB48PD7q+xEA6MoGUf2Tcq34g+zefOoHHb/3T412M98BbcZKDehbAPRP7Kk1Co5WeFrHK/V/eKmP1t8IPZlqKfPsPtubj9uP+5fHB4+fe1xekZKGnby47g/9Dm5jF4Oa7G+z/Lo9yzXxKIrOszyoQdbtGFyWiQ+l0By8hyNgdW9nE5RwpyR1S2BB3RO6ov4Wl/ASoIj/2xcD+gWA+bj+6QLp/0R08Pnj8jDZw7/WluNmOi85Q4qFq0v6HSCrffOp8Gm2dTyD2SrQhzad+G3d7Uja9UjK42L/5FPcebj/uXx4fIODxs/fe+EHjA/eWhZ6OplUkiGtgfHZ2VuTXV+3ffERgv/ZTp7f/1tazYGLqjXojf5WjG4IxX7utf/XU/s2ndwon3Uxtw3zMh5bg8UfdoeDg8XPk+DD+bUIsocolORKkg/NQwv6HyCjffHr5tNZvM0UQHd5zeI8rU361QBcqhk6HNx4f3nD/cv9y/2Iw0aiiNygmDJ/jWRENEpWFbhhzLitmvZvsvxdLZJpPoJg10VqBSvaq3/JXq6pshQ/JUYGJc5DWF84mDP/YPwTMHwhdDsrs5rt9Bhkl3H56OQQl81k3n6joekJfM47AYSS4wNV3HLnV/uugTpBPa/0262duZlW+PpgJmIAJmIAJmIAJmMB+BForUEn+3regiNNoa+/9N6+GaCvRRIrW+7Zi3E/Yv/nQitQeFP9z+3H/8vgAAY+fj7++REOqJ04wglUHUmw1nwJIsboHn9b6bb6f2uvtpb2yZvKnzL3yccKn2PZPQ3f9qrcXHGIIKPLzU2y3H7efITXv9jNyEknr/hUVUUnscYGveOtusv8uk5xzgnzWIxB7r4JDw6Iunw4CmU/0f7ef3rsp84GAg2S98sjj54TjZ3S0SuIEBUqFRneT+XSZ5Jw9+KxHIAKidxTrvew5iAguqWTziS7k9iMUBQfzOZIgU1Ev7r/RMnvb7eL4FMXpru5xge86qeTYfwUOm06Qz6oEooNAvWovGr35mA8iQ+1Bl08HgeAgIL3yy3zMZ7bxMw40lDhBgTKEojfffHqxROYefFoLxFlnMfMZPF329LEo/e5ZfDhKX8LUN+GYlaIfU4mtMtbvFxV+YnZOkW//QU+IzMftx/2LvuDxJ4/DHj8hMOb6EqCcMIFTIdBagYY6JvGgB8cawnpDSoWfOESRX3/wZP/mEy1HCbcfYtjdfhqUzMd8igg3TYLm0fvoI2YBrqb9REGGEntEgIZc9ebbfy+WyDxBPq3123yzmKlFabIxT4V0KcJedV9/uhTtw/6FouBgPm4/vZdw9y/CABWJYz7mE4OnEyZwhATWIxAdfnD44ZTDD27/bv9u/xFWXNzjiyMUBz4lE1iPQCzCWpUvUzh8SLs3n6Lzu/0ISMEhKBX5bj9Bppeb+ZiPCIx8vFDg8qoJHAOBlQhEh08cPnH4BFGiMWVx4RP3X/ffU+6/xyAFfA4m0CWwEoGoGcq9bx9SZk0IykMw4RCxKG7vCj/Bq8jP4QH7h4D5qKkUHNx+3L88Pnh8CO07ND7EQOGECRwVgdYC8U/zzNZWx9OXaziiVvVlAa2Sw0dYSKPtSOu6pU3fv3/Pq2SGH9Ja7L+Xww2ea+DBzfyDTC838zGfaBgef+gOLKc8PhfdwasmcCIEzlCgTYv68ePHpv7t3ARMwARMwARMwAROjcCbN2+aFnnWD2U3LYmdm4AJmIAJmIAJmIAJTEKgeQRxkrO0ExMwARMwARMwARMwgdkIOII4G2ofyARMwARMwARMwASWQcACcRn15LM0ARMwARMwARMwgdkIWCDOhtoHMgETMAETMAETMIFlELBAXEY9+SxNwARMwARMwARMYDYCFoizofaBTMAETMAETMAETGAZBCwQl1FPPksTMAETMAETMAETmI2ABeJsqH0gEzABEzABEzABE1gGAQvEZdSTz9IETMAETMAETMAEZiNggTgbah/IBEzABEzABEzABJZBwAJxGfXkszQBEzABEzABEzCB2QhYIM6G2gcyARMwARMwARMwgWUQsEBcRj35LE3ABEzABEzABExgNgIWiLOh9oFMwARMwARMwARMYBkELBCXUU8+SxMwARMwARMwAROYjYAF4myofSATMAETMAETMAETWAYBC8Rl1JPP0gRMwARMwARMwARmI2CBOBtqH8gETMAETMAETMAElkHAAnEZ9eSzNAETMAETMAETMIHZCFggzobaBzIBEzABEzABEzCBZRCwQFxGPfksTcAETMAETMAETGA2AhaIs6H2gUzABEzABEzABExgGQQsEJdRTz5LEzABEzABEzABE5iNgAXibKh9IBMwARMwARMwARNYBgELxGXUk8/SBEzABEzABEzABGYjYIE4G2ofyARMwARMwARMwASWQcACcRn15LM0ARMwARMwARMwgdkIWCDOhtoHMgETMAETMAETMIFlELBAXEY9+SxNwARMwARMwARMYDYCFoizofaBTMAETMAETMAETGAZBCwQl1FPPksTMAETMAETMAETmI2ABeJsqH0gEzABEzABEzABE1gGgf8PA90SmRLKeHIAAAAASUVORK5CYII=",
"text/plain": [
- "<PIL.Image.Image image mode=RGB size=512x416>"
+ "<PIL.Image.Image image mode=RGB size=864x704>"
]
},
"metadata": {},
@@ -98,88 +98,65 @@
"\n",
"Computing new shield\n",
"LOG: Starting with explicit model creation...\n",
- "Elapsed time is 0.08271026611328125 seconds.\n",
+ "Elapsed time is 1.4756522178649902 seconds.\n",
"LOG: Starting with model checking...\n",
- "Elapsed time is 0.0008902549743652344 seconds.\n",
+ "Elapsed time is 0.007963895797729492 seconds.\n",
+ "Write to file shielding_files_20241129T101609_2ylwmp9k/shield.\n",
"LOG: Starting to translate shield...\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 445\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 446\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 447\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 448\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 449\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 450\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 451\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 452\n",
- "Elapsed time is 0.026116371154785156 seconds.\n"
- ]
- },
- {
- "data": {
- "image/png": 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",
- "text/plain": [
- "<PIL.Image.Image image mode=RGBA size=512x416>"
- ]
- },
- "metadata": {},
- "output_type": "display_data"
- },
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "The shield for shield_value = 0.9\n",
+ "Elapsed time is 0.05611824989318848 seconds.\n",
+ "\n",
+ "\n",
+ "Computing new shield\n",
+ "LOG: Starting with explicit model creation...\n",
+ "Elapsed time is 1.2929818630218506 seconds.\n",
+ "LOG: Starting with model checking...\n",
+ "Elapsed time is 0.0013511180877685547 seconds.\n",
+ "Write to file shielding_files_20241129T101611_o5a_j5lh/shield.\n",
+ "LOG: Starting to translate shield...\n",
+ "Elapsed time is 0.05822467803955078 seconds.\n",
"\n",
"\n",
"Computing new shield\n",
"LOG: Starting with explicit model creation...\n",
- "Elapsed time is 0.08337211608886719 seconds.\n",
+ "Elapsed time is 1.192638874053955 seconds.\n",
"LOG: Starting with model checking...\n",
- "Elapsed time is 0.0007877349853515625 seconds.\n",
+ "Elapsed time is 0.0012052059173583984 seconds.\n",
+ " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 683\n",
+ " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1139\n",
+ "Write to file shielding_files_20241129T101613_79jou6ds/shield.\n",
+ " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 683\n",
+ " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1139\n",
"LOG: Starting to translate shield...\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 54\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 55\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 56\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 57\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 58\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 59\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 60\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 61\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 62\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 315\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 316\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 317\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 318\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 319\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 320\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 321\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 322\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 323\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 444\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 445\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 446\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 447\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 448\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 449\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 450\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 451\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 452\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 453\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 458\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 459\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 460\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 461\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 462\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 463\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 464\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 465\n",
- "Elapsed time is 0.02267932891845703 seconds.\n"
+ "Elapsed time is 0.051551103591918945 seconds.\n",
+ "\n",
+ "\n",
+ "Computing new shield\n",
+ "LOG: Starting with explicit model creation...\n",
+ "Elapsed time is 1.1984505653381348 seconds.\n",
+ "LOG: Starting with model checking...\n",
+ "Elapsed time is 0.0012307167053222656 seconds.\n",
+ " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 610\n",
+ " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 611\n",
+ " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 635\n",
+ " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 659\n",
+ " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 683\n",
+ "LOG: Starting to translate shield...\n",
+ " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1139\n",
+ "Write to file shielding_files_20241129T101615_2o4596m3/shield.\n",
+ " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 610\n",
+ " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 611\n",
+ " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 635\n",
+ " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 659\n",
+ " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 683\n",
+ " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1139\n",
+ "Elapsed time is 0.05582904815673828 seconds.\n"
]
},
{
"data": {
- "image/png": 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",
+ "image/png": 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",
"text/plain": [
- "<PIL.Image.Image image mode=RGBA size=512x416>"
+ "<PIL.Image.Image image mode=RGBA size=864x704>"
]
},
"metadata": {},
@@ -189,85 +166,14 @@
"name": "stdout",
"output_type": "stream",
"text": [
- "The shield for shield_value = 0.99\n",
- "\n",
- "\n",
- "Computing new shield\n",
- "LOG: Starting with explicit model creation...\n",
- "Elapsed time is 0.08304810523986816 seconds.\n",
- "LOG: Starting with model checking...\n",
- "Elapsed time is 0.0007925033569335938 seconds.\n",
- "LOG: Starting to translate shield...\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 54\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 55\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 56\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 57\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 58\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 59\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 60\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 61\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 62\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 67\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 68\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 69\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 70\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 71\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 72\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 73\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 74\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 315\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 316\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 317\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 318\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 319\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 320\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 321\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 322\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 323\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 329\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 330\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 331\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 332\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 333\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 334\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 335\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 336\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 444\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 445\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 446\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 447\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 448\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 449\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 450\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 451\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 452\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 453\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 457\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 458\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 459\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 460\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 461\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 462\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 463\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 464\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 465\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 466\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 471\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 472\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 473\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 474\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 475\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 476\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 477\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 478\n",
- "Elapsed time is 0.022092103958129883 seconds.\n"
+ "The shield for shield_value = 0.9\n"
]
},
{
"data": {
- "image/png": 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",
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",
"text/plain": [
- "<PIL.Image.Image image mode=RGBA size=512x416>"
+ "<PIL.Image.Image image mode=RGBA size=864x704>"
]
},
"metadata": {},
@@ -277,109 +183,14 @@
"name": "stdout",
"output_type": "stream",
"text": [
- "The shield for shield_value = 0.999\n",
- "\n",
- "\n",
- "Computing new shield\n",
- "LOG: Starting with explicit model creation...\n",
- "Elapsed time is 0.08694028854370117 seconds.\n",
- "LOG: Starting with model checking...\n",
- "Elapsed time is 0.0007922649383544922 seconds.\n",
- "LOG: Starting to translate shield...\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 54\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 55\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 56\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 57\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 58\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 59\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 60\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 61\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 62\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 67\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 68\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 69\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 70\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 71\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 72\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 73\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 74\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 80\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 81\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 82\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 83\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 84\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 85\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 86\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 315\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 316\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 317\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 318\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 319\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 320\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 321\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 322\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 323\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 329\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 330\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 331\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 332\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 333\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 334\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 335\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 336\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 343\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 344\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 345\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 346\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 347\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 348\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 349\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 444\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 445\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 446\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 447\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 448\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 449\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 450\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 451\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 452\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 453\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 457\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 458\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 459\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 460\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 461\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 462\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 463\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 464\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 465\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 466\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 470\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 471\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 472\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 473\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 474\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 475\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 476\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 477\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 478\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 479\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 484\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 485\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 486\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 487\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 488\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 489\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 490\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 491\n",
- "Elapsed time is 0.021901845932006836 seconds.\n"
+ "The shield for shield_value = 0.95\n"
]
},
{
"data": {
- "image/png": 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",
+ "image/png": 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",
"text/plain": [
- "<PIL.Image.Image image mode=RGBA size=512x416>"
+ "<PIL.Image.Image image mode=RGBA size=864x704>"
]
},
"metadata": {},
@@ -389,143 +200,14 @@
"name": "stdout",
"output_type": "stream",
"text": [
- "The shield for shield_value = 0.9999\n",
- "\n",
- "\n",
- "Computing new shield\n",
- "LOG: Starting with explicit model creation...\n",
- "Elapsed time is 0.08632326126098633 seconds.\n",
- "LOG: Starting with model checking...\n",
- "Elapsed time is 0.0008187294006347656 seconds.\n",
- "LOG: Starting to translate shield...\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 54\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 55\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 56\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 57\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 58\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 59\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 60\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 61\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 62\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 67\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 68\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 69\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 70\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 71\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 72\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 73\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 74\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 80\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 81\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 82\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 83\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 84\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 85\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 86\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 93\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 94\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 95\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 96\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 97\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 98\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 106\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 107\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 108\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 109\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 110\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 315\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 316\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 317\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 318\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 319\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 320\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 321\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 322\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 323\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 329\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 330\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 331\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 332\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 333\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 334\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 335\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 336\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 343\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 344\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 345\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 346\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 347\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 348\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 349\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 357\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 358\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 359\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 360\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 361\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 362\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 371\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 372\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 373\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 374\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 375\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 444\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 445\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 446\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 447\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 448\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 449\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 450\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 451\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 452\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 453\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 457\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 458\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 459\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 460\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 461\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 462\n",
- "Elapsed time is 0.022674560546875 seconds.\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 463\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 464\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 465\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 466\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 470\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 471\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 472\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 473\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 474\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 475\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 476\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 477\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 478\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 479\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 483\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 484\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 485\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 486\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 487\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 488\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 489\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 490\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 491\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 492\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 496\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 497\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 498\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 499\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 500\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 501\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 502\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 503\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 504\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 505\n"
+ "The shield for shield_value = 0.99\n"
]
},
{
"data": {
- "image/png": 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",
+ "image/png": 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",
"text/plain": [
- "<PIL.Image.Image image mode=RGBA size=512x416>"
+ "<PIL.Image.Image image mode=RGBA size=864x704>"
]
},
"metadata": {},
@@ -541,9 +223,9 @@
},
{
"data": {
- "image/png": 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",
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",
"text/plain": [
- "<PIL.Image.Image image mode=RGBA size=512x416>"
+ "<PIL.Image.Image image mode=RGBA size=864x704>"
]
},
"metadata": {},
@@ -556,77 +238,19 @@
"Using cpu device\n",
"Wrapping the env with a `Monitor` wrapper\n",
"Wrapping the env in a DummyVecEnv.\n",
- "Wrapping the env in a VecTransposeImage.\n",
- "-----------------------------------\n",
- "| info/ | |\n",
- "| no_shield_action | 0 |\n",
- "| sum_opened_door | 0 |\n",
- "| sum_picked_up | 0 |\n",
- "| sum_ran_into_lava | 2 |\n",
- "| sum_reached_goal | 4 |\n",
- "| rollout/ | |\n",
- "| ep_len_mean | 147 |\n",
- "| ep_rew_mean | -1.32 |\n",
- "| time/ | |\n",
- "| fps | 122 |\n",
- "| iterations | 1 |\n",
- "| time_elapsed | 16 |\n",
- "| total_timesteps | 2048 |\n",
- "-----------------------------------\n",
- "-----------------------------------------\n",
- "| info/ | |\n",
- "| no_shield_action | 0 |\n",
- "| sum_opened_door | 0 |\n",
- "| sum_picked_up | 0 |\n",
- "| sum_ran_into_lava | 3 |\n",
- "| sum_reached_goal | 7 |\n",
- "| rollout/ | |\n",
- "| ep_len_mean | 155 |\n",
- "| ep_rew_mean | -1.4 |\n",
- "| time/ | |\n",
- "| fps | 64 |\n",
- "| iterations | 2 |\n",
- "| time_elapsed | 63 |\n",
- "| total_timesteps | 4096 |\n",
- "| train/ | |\n",
- "| approx_kl | 0.004596745 |\n",
- "| clip_fraction | 0.0505 |\n",
- "| clip_range | 0.2 |\n",
- "| entropy_loss | -0.965 |\n",
- "| explained_variance | 0.00267 |\n",
- "| learning_rate | 0.0003 |\n",
- "| loss | 0.00807 |\n",
- "| n_updates | 10 |\n",
- "| policy_gradient_loss | -0.00159 |\n",
- "| value_loss | 0.153 |\n",
- "-----------------------------------------\n",
- "-----------------------------------------\n",
- "| info/ | |\n",
- "| no_shield_action | 0 |\n",
- "| sum_opened_door | 0 |\n",
- "| sum_picked_up | 0 |\n",
- "| sum_ran_into_lava | 3 |\n",
- "| sum_reached_goal | 12 |\n",
- "| rollout/ | |\n",
- "| ep_len_mean | 157 |\n",
- "| ep_rew_mean | -1.34 |\n",
- "| time/ | |\n",
- "| fps | 55 |\n",
- "| iterations | 3 |\n",
- "| time_elapsed | 110 |\n",
- "| total_timesteps | 6144 |\n",
- "| train/ | |\n",
- "| approx_kl | 0.007139873 |\n",
- "| clip_fraction | 0.0514 |\n",
- "| clip_range | 0.2 |\n",
- "| entropy_loss | -0.989 |\n",
- "| explained_variance | 0.652 |\n",
- "| learning_rate | 0.0003 |\n",
- "| loss | 0.00669 |\n",
- "| n_updates | 20 |\n",
- "| policy_gradient_loss | -0.00884 |\n",
- "| value_loss | 0.0208 |\n",
- "-----------------------------------------\n"
+ "Wrapping the env in a VecTransposeImage.\n"
+ ]
+ },
+ {
+ "ename": "AssertionError",
+ "evalue": "",
+ "output_type": "error",
+ "traceback": [
+ "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
+ "\u001b[0;31mAssertionError\u001b[0m Traceback (most recent call last)",
+ "Cell \u001b[0;32mIn[3], line 63\u001b[0m\n\u001b[1;32m 61\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;18m__name__\u001b[39m \u001b[38;5;241m==\u001b[39m \u001b[38;5;124m'\u001b[39m\u001b[38;5;124m__main__\u001b[39m\u001b[38;5;124m'\u001b[39m:\n\u001b[1;32m 62\u001b[0m \u001b[38;5;28mprint\u001b[39m(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mStarting the training\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n\u001b[0;32m---> 63\u001b[0m \u001b[43mmain\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n",
+ "Cell \u001b[0;32mIn[3], line 56\u001b[0m, in \u001b[0;36mmain\u001b[0;34m()\u001b[0m\n\u001b[1;32m 53\u001b[0m model\u001b[38;5;241m.\u001b[39mset_logger(logger)\n\u001b[1;32m 54\u001b[0m steps \u001b[38;5;241m=\u001b[39m \u001b[38;5;241m20_000\u001b[39m\n\u001b[0;32m---> 56\u001b[0m \u001b[38;5;28;01massert\u001b[39;00m(\u001b[38;5;28;01mFalse\u001b[39;00m)\n\u001b[1;32m 57\u001b[0m model\u001b[38;5;241m.\u001b[39mlearn(steps,callback\u001b[38;5;241m=\u001b[39m[InfoCallback()])\n",
+ "\u001b[0;31mAssertionError\u001b[0m: "
]
}
],
@@ -640,8 +264,9 @@
" return [1.0] * 7\n",
"\n",
"def main():\n",
- " env = \"MiniGrid-LavaSlipperyCliff-16x13-Slip10-Time-v0\"\n",
- " \n",
+ " #env = \"MiniGrid-LavaSlipperyCliff-16x13-Slip10-Time-v0\"\n",
+ " env = \"MiniGrid-WindyCity-Adv-v0\"\n",
+ "\n",
" formula = \"Pmax=? [G ! AgentIsOnLava]\"\n",
" value_for_training = 0.99\n",
" shield_comparison = \"absolute\"\n",
@@ -661,14 +286,16 @@
" \n",
" shield_handlers = dict()\n",
" if shield_needed(shielding):\n",
- " for value in [0.9, 0.99, 0.999, 0.9999, 1.0]:\n",
- " shield_handler = MiniGridShieldHandler(GRID_TO_PRISM_BINARY, \"grid.txt\", \"grid.prism\", formula, shield_value=value, shield_comparison=shield_comparison, nocleanup=False, prism_file=None)\n",
+ " for value in [0.9, 0.95, 0.99, 1.0]:\n",
+ " shield_handler = MiniGridShieldHandler(GRID_TO_PRISM_BINARY, \"grid.txt\", \"grid.prism\", formula, shield_value=value, shield_comparison=shield_comparison, nocleanup=True, prism_file=None)\n",
" env = MiniGridSbShieldingWrapper(env, shield_handler=shield_handler, create_shield_at_reset=False)\n",
- " create_shield_overlay_image(image_env, shield_handler.create_shield())\n",
- " print(f\"The shield for shield_value = {value}\")\n",
"\n",
- " shield_handlers[value] = shield_handler\n",
"\n",
+ " shield_handlers[value] = shield_handler\n",
+ " if shield_needed(shielding):\n",
+ " for value in [0.9, 0.95, 0.99, 1.0]: \n",
+ " create_shield_overlay_image(image_env, shield_handlers[value].create_shield())\n",
+ " print(f\"The shield for shield_value = {value}\")\n",
"\n",
" if shielding == ShieldingConfig.Training:\n",
" env = MiniGridSbShieldingWrapper(env, shield_handler=shield_handlers[value_for_training], create_shield_at_reset=False)\n",
@@ -683,7 +310,7 @@
" model.set_logger(logger)\n",
" steps = 20_000\n",
"\n",
- " #assert(False)\n",
+ " assert(False)\n",
" model.learn(steps,callback=[InfoCallback()])\n",
"\n",
"\n",
diff --git a/notebooks/DeterministicShielding.ipynb b/notebooks/DeterministicShielding.ipynb
new file mode 100644
index 0000000..dbc6fe0
--- /dev/null
+++ b/notebooks/DeterministicShielding.ipynb
@@ -0,0 +1,199 @@
+{
+ "cells": [
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "## Example usage of Tempestpy"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 1,
+ "metadata": {
+ "vscode": {
+ "languageId": "plaintext"
+ }
+ },
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "pygame 2.6.1 (SDL 2.28.4, Python 3.10.12)\n",
+ "Hello from the pygame community. https://www.pygame.org/contribute.html\n"
+ ]
+ },
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ "2024-11-29 12:18:59.459471: E external/local_xla/xla/stream_executor/cuda/cuda_fft.cc:485] Unable to register cuFFT factory: Attempting to register factory for plugin cuFFT when one has already been registered\n",
+ "2024-11-29 12:18:59.474489: E external/local_xla/xla/stream_executor/cuda/cuda_dnn.cc:8454] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered\n",
+ "2024-11-29 12:18:59.478811: E external/local_xla/xla/stream_executor/cuda/cuda_blas.cc:1452] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered\n",
+ "2024-11-29 12:18:59.488641: I tensorflow/core/platform/cpu_feature_guard.cc:210] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations.\n",
+ "To enable the following instructions: AVX2 FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags.\n",
+ "2024-11-29 12:19:00.368388: W tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Could not find TensorRT\n",
+ "error: XDG_RUNTIME_DIR not set in the environment.\n"
+ ]
+ }
+ ],
+ "source": [
+ "from sb3_contrib import MaskablePPO\n",
+ "from sb3_contrib.common.wrappers import ActionMasker\n",
+ "from stable_baselines3.common.logger import Logger, CSVOutputFormat, TensorBoardOutputFormat, HumanOutputFormat\n",
+ "\n",
+ "import gymnasium as gym\n",
+ "\n",
+ "from minigrid.core.actions import Actions\n",
+ "from minigrid.core.constants import TILE_PIXELS\n",
+ "from minigrid.wrappers import RGBImgObsWrapper, ImgObsWrapper\n",
+ "\n",
+ "import tempfile, datetime, shutil\n",
+ "\n",
+ "import time\n",
+ "import os\n",
+ "\n",
+ "from utils import MiniGridShieldHandler, create_log_dir, ShieldingConfig, MiniWrapper, expname, shield_needed, shielded_evaluation, create_shield_overlay_image\n",
+ "from sb3utils import MiniGridSbShieldingWrapper, parse_sb3_arguments, ImageRecorderCallback, InfoCallback\n",
+ "\n",
+ "import os, sys\n",
+ "from copy import deepcopy\n",
+ "\n",
+ "from PIL import Image"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "metadata": {
+ "vscode": {
+ "languageId": "plaintext"
+ }
+ },
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "Starting the training\n"
+ ]
+ },
+ {
+ "data": {
+ "image/jpeg": 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",
+ "text/plain": [
+ "<PIL.Image.Image image mode=RGB size=352x288>"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "\n",
+ "\n",
+ "Computing new shield\n",
+ "LOG: Starting with explicit model creation...\n"
+ ]
+ }
+ ],
+ "source": [
+ "GRID_TO_PRISM_BINARY=os.getenv(\"M2P_BINARY\")\n",
+ "\n",
+ "def mask_fn(env: gym.Env):\n",
+ " return env.create_action_mask()\n",
+ "\n",
+ "def nomask_fn(env: gym.Env):\n",
+ " return [1.0] * 7\n",
+ "\n",
+ "def main():\n",
+ " #env = \"MiniGrid-LavaSlipperyCliff-16x13-Slip10-Time-v0\"\n",
+ " env = \"MiniGrid-WindyCity-Adv-v0\"\n",
+ "\n",
+ " formula = \"Pmax=? [G ! AgentIsOnLava]\"\n",
+ " value_for_training = 0.99\n",
+ " shield_comparison = \"absolute\"\n",
+ " shielding = ShieldingConfig.Training\n",
+ " \n",
+ " logger = Logger(\"/tmp\", output_formats=[HumanOutputFormat(sys.stdout)])\n",
+ " \n",
+ " env = gym.make(env, render_mode=\"rgb_array\")\n",
+ " image_env = RGBImgObsWrapper(env, TILE_PIXELS)\n",
+ " env = RGBImgObsWrapper(env, 8)\n",
+ " env = ImgObsWrapper(env)\n",
+ " env = MiniWrapper(env)\n",
+ "\n",
+ " \n",
+ " env.reset()\n",
+ " Image.fromarray(env.render()).show()\n",
+ " \n",
+ " shield_handlers = dict()\n",
+ " if shield_needed(shielding):\n",
+ " for value in [0.9, 0.95, 0.99, 1.0]:\n",
+ " shield_handler = MiniGridShieldHandler(GRID_TO_PRISM_BINARY, \"grid.txt\", \"grid.prism\", formula, shield_value=value, shield_comparison=shield_comparison, nocleanup=True, prism_file=None)\n",
+ " env = MiniGridSbShieldingWrapper(env, shield_handler=shield_handler, create_shield_at_reset=False)\n",
+ "\n",
+ "\n",
+ " shield_handlers[value] = shield_handler\n",
+ " if shield_needed(shielding):\n",
+ " for value in [0.9, 0.95, 0.99, 1.0]: \n",
+ " create_shield_overlay_image(image_env, shield_handlers[value].create_shield())\n",
+ " print(f\"The shield for shield_value = {value}\")\n",
+ "\n",
+ " if shielding == ShieldingConfig.Training:\n",
+ " env = MiniGridSbShieldingWrapper(env, shield_handler=shield_handlers[value_for_training], create_shield_at_reset=False)\n",
+ " env = ActionMasker(env, mask_fn)\n",
+ " print(\"Training with shield:\")\n",
+ " create_shield_overlay_image(image_env, shield_handlers[value_for_training].create_shield())\n",
+ " elif shielding == ShieldingConfig.Disabled:\n",
+ " env = ActionMasker(env, nomask_fn)\n",
+ " else:\n",
+ " assert(False) \n",
+ " model = MaskablePPO(\"CnnPolicy\", env, verbose=1, device=\"auto\")\n",
+ " model.set_logger(logger)\n",
+ " steps = 200\n",
+ "\n",
+ " assert(False)\n",
+ " model.learn(steps,callback=[InfoCallback()])\n",
+ "\n",
+ "\n",
+ "\n",
+ "if __name__ == '__main__':\n",
+ " print(\"Starting the training\")\n",
+ " main()"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "metadata": {},
+ "outputs": [],
+ "source": []
+ }
+ ],
+ "metadata": {
+ "kernelspec": {
+ "display_name": "Python 3 (ipykernel)",
+ "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": "3.10.12"
+ }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 4
+}
diff --git a/notebooks/FaultyActions.ipynb b/notebooks/FaultyActions.ipynb
deleted file mode 100644
index a628739..0000000
--- a/notebooks/FaultyActions.ipynb
+++ /dev/null
@@ -1,719 +0,0 @@
-{
- "cells": [
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "## Example usage of Tempestpy"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 1,
- "metadata": {
- "vscode": {
- "languageId": "plaintext"
- }
- },
- "outputs": [
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "pygame 2.6.0 (SDL 2.28.4, Python 3.10.12)\n",
- "Hello from the pygame community. https://www.pygame.org/contribute.html\n"
- ]
- },
- {
- "name": "stderr",
- "output_type": "stream",
- "text": [
- "2024-09-24 13:00:24.842265: E external/local_xla/xla/stream_executor/cuda/cuda_fft.cc:485] Unable to register cuFFT factory: Attempting to register factory for plugin cuFFT when one has already been registered\n",
- "2024-09-24 13:00:24.857294: E external/local_xla/xla/stream_executor/cuda/cuda_dnn.cc:8454] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered\n",
- "2024-09-24 13:00:24.861712: E external/local_xla/xla/stream_executor/cuda/cuda_blas.cc:1452] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered\n",
- "2024-09-24 13:00:24.871856: I tensorflow/core/platform/cpu_feature_guard.cc:210] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations.\n",
- "To enable the following instructions: AVX2 FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags.\n",
- "2024-09-24 13:00:25.712381: W tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Could not find TensorRT\n",
- "error: XDG_RUNTIME_DIR not set in the environment.\n"
- ]
- }
- ],
- "source": [
- "from sb3_contrib import MaskablePPO\n",
- "from sb3_contrib.common.wrappers import ActionMasker\n",
- "from stable_baselines3.common.logger import Logger, CSVOutputFormat, TensorBoardOutputFormat, HumanOutputFormat\n",
- "\n",
- "import gymnasium as gym\n",
- "\n",
- "from minigrid.core.actions import Actions\n",
- "from minigrid.core.constants import TILE_PIXELS\n",
- "from minigrid.wrappers import RGBImgObsWrapper, ImgObsWrapper\n",
- "\n",
- "import tempfile, datetime, shutil\n",
- "\n",
- "import time\n",
- "import os\n",
- "\n",
- "from utils import MiniGridShieldHandler, create_log_dir, ShieldingConfig, MiniWrapper, expname, shield_needed, shielded_evaluation, create_shield_overlay_image\n",
- "from sb3utils import MiniGridSbShieldingWrapper, parse_sb3_arguments, ImageRecorderCallback, InfoCallback\n",
- "\n",
- "import os, sys\n",
- "from copy import deepcopy\n",
- "\n",
- "from PIL import Image"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 3,
- "metadata": {
- "vscode": {
- "languageId": "plaintext"
- }
- },
- "outputs": [
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "Starting the training\n"
- ]
- },
- {
- "data": {
- "image/jpeg": 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",
- "text/plain": [
- "<PIL.Image.Image image mode=RGB size=480x480>"
- ]
- },
- "metadata": {},
- "output_type": "display_data"
- },
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "\n",
- "\n",
- "Computing new shield\n",
- "LOG: Starting with explicit model creation...\n",
- "Elapsed time is 0.053414344787597656 seconds.\n",
- "LOG: Starting with model checking...\n",
- "Elapsed time is 0.0018138885498046875 seconds.\n",
- "LOG: Starting to translate shield...\n",
- "Elapsed time is 0.08892679214477539 seconds.\n",
- "\n",
- "\n",
- "Computing new shield\n",
- "LOG: Starting with explicit model creation...\n",
- "Elapsed time is 0.04616570472717285 seconds.\n",
- "LOG: Starting with model checking...\n",
- "Elapsed time is 0.0017552375793457031 seconds.\n",
- "LOG: Starting to translate shield...\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1211\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1222\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1233\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1244\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1255\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1266\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1277\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1288\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1299\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1344\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1355\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1366\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1377\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1388\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1399\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1410\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1421\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1432\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1460\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1471\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1482\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1493\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1504\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1515\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1526\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1537\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1604\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1615\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1626\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1637\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1648\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1659\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1670\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1681\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 4689\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 4711\n",
- "Elapsed time is 0.0928337574005127 seconds.\n",
- "\n",
- "\n",
- "Computing new shield\n",
- "LOG: Starting with explicit model creation...\n",
- "Elapsed time is 0.04615354537963867 seconds.\n",
- "LOG: Starting with model checking...\n",
- "Elapsed time is 0.0014677047729492188 seconds.\n",
- "LOG: Starting to translate shield...\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1211\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1222\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1233\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1244\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1255\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1266\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1277\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1288\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1299\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1344\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1355\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1366\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1377\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1388\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1399\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1410\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1421\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1432\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1460\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1471\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1482\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1493\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1504\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1515\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1526\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1537\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1604\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1615\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1626\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1637\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1648\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1659\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1670\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1681\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 4689\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 4711\n",
- "Elapsed time is 0.08211565017700195 seconds.\n",
- "\n",
- "\n",
- "Computing new shield\n",
- "LOG: Starting with explicit model creation...\n",
- "Elapsed time is 0.045874834060668945 seconds.\n",
- "LOG: Starting with model checking...\n",
- "Elapsed time is 0.0018587112426757812 seconds.\n",
- "LOG: Starting to translate shield...\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1210\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1211\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1221\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1222\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1232\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1233\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1243\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1244\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1254\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1255\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1265\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1266\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1276\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1277\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1287\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1288\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1298\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1299\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1332\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1343\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1344\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1354\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1355\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1365\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1366\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1376\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1377\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1387\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1388\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1398\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1399\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1409\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1410\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1420\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1421\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1432\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1460\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1461\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1471\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1472\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1482\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1483\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1493\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1494\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1504\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1505\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1515\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1516\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1526\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1527\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1537\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1538\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1604\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1615\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1616\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1626\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1627\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1637\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1638\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1648\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1649\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1659\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1660\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1670\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1671\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1681\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1682\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1693\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 4689\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 4695\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 4711\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 4718\n",
- "Elapsed time is 0.0849301815032959 seconds.\n",
- "\n",
- "\n",
- "Computing new shield\n",
- "LOG: Starting with explicit model creation...\n",
- "Elapsed time is 0.04583621025085449 seconds.\n",
- "LOG: Starting with model checking...\n",
- "Elapsed time is 0.0014719963073730469 seconds.\n",
- "LOG: Starting to translate shield...\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1205\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1206\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1207\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1208\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1209\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1210\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1211\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1216\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1217\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1218\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1219\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1220\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1221\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1222\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1227\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1228\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1229\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1230\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1231\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1232\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1233\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1238\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1239\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1240\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1241\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1242\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1243\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1244\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1249\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1250\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1251\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1252\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1253\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1254\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1255\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1261\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1262\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1263\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1264\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1265\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1266\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1273\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1274\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1275\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1276\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1277\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1285\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1286\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1287\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1288\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1297\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1298\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1299\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1316\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1317\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1318\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1319\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1320\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1327\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1328\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1329\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1330\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1331\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1332\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1338\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1339\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1340\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1341\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1342\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1343\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1344\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1349\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1350\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1351\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1352\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1353\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1354\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1355\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1360\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1361\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1362\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1363\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1364\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1365\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1366\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1372\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1373\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1374\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1375\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1376\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1377\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1384\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1385\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1386\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1387\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1388\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1396\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1397\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1398\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1399\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1408\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1409\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1410\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1420\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1421\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1432\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1460\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1461\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1462\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1463\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1464\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1471\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1472\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1473\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1474\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1475\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1476\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1482\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1483\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1484\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1485\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1486\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1487\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1488\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1493\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1494\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1495\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1496\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1497\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1498\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1499\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1504\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1505\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1506\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1507\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1508\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1509\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1510\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1515\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1516\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1517\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1518\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1519\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1520\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1521\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1526\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1527\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1528\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1529\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1530\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1531\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1532\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1537\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1538\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1539\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1540\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1541\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1542\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1543\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1604\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1615\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1616\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1626\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1627\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1628\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1637\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1638\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1639\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1640\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1648\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1649\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1650\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1651\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1652\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1659\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1660\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1661\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1662\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1663\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1664\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1670\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1671\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1672\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1673\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1674\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1675\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1676\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1681\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1682\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1683\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1684\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1685\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1686\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1687\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1693\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1694\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1695\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1696\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1697\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1698\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1705\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1706\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1707\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1708\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1709\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1717\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1718\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1719\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1720\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1729\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1730\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1731\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 4689\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 4695\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 4711\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 4718\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 4725\n",
- "Elapsed time is 0.08353805541992188 seconds.\n"
- ]
- },
- {
- "data": {
- "image/png": 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HhFd55FtJvaHVUo6TXvagYSAnPaDDSzQudNDxnatObC7GHk/nJSryr3xK6u3sx3YSH/5LLn9tzeAvBM5PQCJ8fKk/v7Mde+iQmB1HTbj/8uOm0asmJZL280LshVfPhZU0JEkdtbwQe+FVXvOp+ThpCJFedSiRtN9qKFIkxF549VxYSUOSfK9prffCq3XmU/NxIj78l1z+4rrAPATOS2AuIlyNAKu1q6FIaslaa9WEWC/OeBRE1sbx+g5Z8RAlE+JbQZzVorZkwtvVqlZrV0OB7MMLJsKa6sUZElkbx+s7ZMVDlEyIlUctGksmvF2tauLDf8nlz+oJUwhsi8AcRLgaATboKSE2IfXCazbW8SoWYrPpE17zYdOUEJqQeuE1m3feOjt8xmz6hNd82JT4Z4XYWMI/sEl8q3qfyp/VA6YQ2AaB2kW4OgE26F6I9ZIO/9zW8to0FuIHTzY/RzabrqkXQr0kQRe6TSm+EP4UWr9qTctPTiL+uhDDf1nlL6fOYAOBFIGaRThTHlKHuZt1JsRjvEuI+8R6qD8TwqH5lU9C3CfWQ/0RvxXiobzgv1/lb8x5Jy8EugjUKsLVDEPqAsd6CEAAAhCAwHkJSIRrSwhwbWeE/YEABCAAgZ0QqE2EEeCdnGacQgACEIBAjQRqEmEEuMYSwj5BAAIQgMDOCNQiwm8cHBz8sbOjHOD4/pXDAbl2mKVw+B0eGa4h0Evgu6PLvXl2neGL27d3HQL/EEgS+PvXXzcly1/1vaCT1FgJAQhsjcBfXr7cmq+xjkIDoDk8LPdfMPGXy/+xCuvlsv+Acgt67BWD/BCAAAQgMGsCK/Gt4AgQ4ApOArsAAQhAAALTEKhFfHW0CPA055woEIAABCBQmEBN4isUCHDhAkF4CEAAAhDYPYHaxFdHjADv/rwTAQIQgAAEChKoUXyFAwEuWCgIDQEIQAACuyVQq/jqqKsR4Gf/Dt/8fTbuRCh/jo1i+XT0W/jm73/82s3Lyp9jo1g+ET+PJfx9Sdq8LF6p8rfZiq0QmCeBmsVXRKsZB/z5N02jb/h2ffM3Pv3xd3+1fqzNJ39tmn98GntsmqdBlPXd2a5vzsa5dRFT/tdH7dqxNu+/3TTXL8UeiQ//suVvvTSyBIH5E6hdfEW4GgH+7FbTPPulaR4/b5qPvkqLqhfeK39uC8kYG4m1Yvmkb/ce/d6K6pMf00LshffCm60XCfFQG4m1YvlEfPiXLH++PLIMgTkTmIP4im81Aqzv9z46aG8p3/lmXYjvBMG8+6hdp52W8EpEtV5J2+4dbzfx9jZ9rWR9v/dGeClKLLImqhLHF69PW7wS3g/Cug8vtvFf/No0Pxxv77LpayUTH/4ly19bkvkLgfkTmIv4inQ1AmynPSXEnz5ot3rhNRuJrQmuCbHZ9Amv+bBpSgi//bnd6oXXbCTE+sVCbDZ9wms+bEr8s0JsLOG//o+flZltlj/zyRQCcyQwJ/EV3+oE2E56LMQS1ZuhhWwtXsvjp7EQP37WtpLlJyfFQqjW7+rWcRDZTSm+EOq2tFrO8pOTiH8qxPCfvvzllFlsIFCSwNzEV6yqFWA7kRLQsSK6Eurj29PmJ3cqIbw+UkQlxNtKxId/yfK3rXKMHwjsksAcxVc8qhmGdOdh01y92z7PHXKi1CHr1mH7GzoUSc+KFUOxfHr6qmn++aK9jey3pZb1rPjJy/an+SFJt6gVQ7F8Ij78S5Y/Xx5ZhsBcCMxVfMW3qhbw89ALWsOR7gWhjDtZxQXB94TWNut4dffjdGvZOmnJ/6akXqjfh+FF6lAVd7KKbeJOWrbeOl5dezd9y9meDcv/pkR8+Jcsf5vKJtsgUCOBOYuveFYjwHf/1jSf3Ait0yDAGlbkhdgLr3Wu0kGYjRdiL7xmk7qlfe29prn09un4Xn8h9MJrnasU38YEeyH2wms2uq3sE/HhX7L8+fLIMgTmQOBm2Mk5i3A1AqyTLWH0Q5EkxPpZSomot5EQxyllE2+3eQmjHwoiIdbPUkpEvY2EOE4pm3i7zRMf/r4sTVn+rBwyhcCcCMxZhKsSYDvpKSHuE9EcG4vnpykh7BPRHBsf15ZzfOXYWDw/zfGVY+Pj2nKOrxwbi+enOb5ybHxcW87xlWNj8ZhCYO4E5irCVQqwFQYTVVseMs2x6fJrF7Wu7an1OTYpP1qX4yvHhvhpAjksc2zS0cuf/679Yj0EaiQwRxGuphf06hnvw/A6yuh2b99J1jNe/YYm+VYP6FSv6dUz3lfjXlSvZ7z6DU16Cb56O6d6TRO/ZTPmQwHw3175G1qGyQeBmglIhOeUqmkB3wtCqo8x3HscekAHiuoFfTX0Kk4l37lKtsrf9aIOCa/yyLeSekOrpRwnvexBH2M46QEdXqJxoYOO71x1YnMx9ng6L1GRf+VTUm9nP7aT+PAvWf7akslfCMyfgET4+FJf/cF0SMz0+/3lx+07niWS9vNC7IVXz4WVUr2mtd4Lr9aZT83HSUOI9KpDiaT9VkORIiH2wqvnwkp665XvNa31Xni1znxqPk7Eh3/J8heXReYhMHcCcxHhagRYrV0NRVJL1lqrJsT6fOCj523LVQXDd8iKhyipx7TsbwVxVovakglvV6tarV0NBbIPL5gIa6rPB0pkbRyv75AVD1EyIVYetWgsmfB2taqJD/+S5c/KKVMI7AuBOYhwNQJsJz0lxCakXnjNxjpexUJsNn3Caz5smhJCE1IvvGbzzltnh8+YTZ/wmg+bEv+sEBtL+Ac2iZe9bLP8WTlkCoF9IFC7CFcnwHbSvRDrJR3+ua3ltWksxA+ebH6ObDZdUy+EekmCLnSbUnwh/Cm0ftWalp+cRPx1IYb/tOUvp8xiA4EaCdQswpnyMB1mE+IxESXEfWI91J8J4dD8yich7hProf6I3wrxUF7w3275G8OdvBColUCtIlzNMKRaTxz7BQEIQAAC8ycgEa4tIcC1nRH2BwIQgAAEdkKgNhFGgHdymnEKAQhAAAI1EqhJhBHgGksI+wQBCEAAAjsjUIsIv3FwcPDHzo5ygOP7Vw4H5NphlsLhd3hkuJ4Bge+OLhffyy9u3y6+D+wABEoQ+PvXXzcly3/1vaBLnBRiQmBKAn95+XLKcGuxwj/gzeFhuf9CiQ//UuXvsWrC5bL/AHMLeu1yxAIEIAABCOw7gZX4VnCQCHAFJ4FdgAAEIACBaQjUIr46WgR4mnNOFAhAAAIQKEygJvEVCgS4cIEgPAQgAAEI7J5AbeKrI0aAd3/eiQABCEAAAgUJ1Ci+woEAFywUhIYABCAAgd0SqFV8ddTVCPCzf4dv/j4bdyKUP8dGsXw6+i188/c/fu3mZeXPsVEsn4ifx3Jf+PvywDIEIHB+AjWLr46umnHAn3/TNPqGb9c3f+NTEX/3V+vH2nzy16b5x6exx6Z5GkRZ353t+uZsnFsXfeV/fdSuHWvz/ttNc/1S7JH4S+e/XhpYggAEzkugdvHV8VUjwJ/dappnvzTN4+dN89FXaVH1wnvlz+0pGmMjsVYsn/Tt3qPfW1F98mNaiL3wXniz9SIhHmojsVYsn4i/bP6+PLAMAQjkE5iD+OroqhFgfb/30UF7S/nON+tCfCcI5t1H7TrttIRXIqr1Stp273i7ibe36Wsl6/u9N8JLUWKRNVGVOL54fdrilfB+ENZ9eLGN/+LXpvnheHuXTV8rmfjL5t+WJP5CAALnJTAX8dVxViPABj0lxJ8+aLd64TUbia0Jrgmx2fQJr/mwaUoIv/253eqF12wkxPrFQmw2fcJrPmxK/LNCbCyXwN/KAVMIQGA8gTmJr46uOgE25LEQS1RvhhaytXgtj5/GQvz4WdtKlp+cFAuhWr+rW8dBZDelWIh1W1otZ/nJScQ/FeIl8s8pM9hAYMkE5ia+OlfVCrAVJAnoWBFdCfXx7WnzkzuVEF4fKaJ2azo3ZmxH/GXzj8sC8xCAQJrAHMVXR1LNMKQ7D5vm6t32eW4a8fpadci6ddj+hg5F0rNixVAsn56+app/vmhvI/ttqWU9K37ysv1pfkjSLWrFUCyfiL9s/r48sAwBCAwjMFfx1dFV1QJ+HnpBazjSvSCUcSer+DT4ntDaZh2v7n6cbi1bJy3535TUC/r7MLxIHariTlaxTdxJy9Zbx6tr76ZvOduzYfnflIi/bP6bygbbIACBswTmLL46mmoE+O7fmuaTG6F1GgRYw4q8EHvhtc5VOgiz8ULshddsUre0r73XNJfePh3f64XYC691rlJ8GxPshdgLr9notrJPxF82f18eWIYABPoJ3AxZ5izC1QiwUEsY/VAkCbF+llIi6m0kxHFK2cTbbV7C6IciSYj1s5QSUW8jIY5TyibebvPEXzZ/KwdMIQCB4QTmLMJVCbAhTwlxn4jm2Fg8P00JYZ+I5tj4uLac4yvHxuL5aY6vHBsf15ZzfOXYWDw/zfGVY+PjsgwBCOQRmKsIVynAdgpMVG15yDTHpsuvXVS7tqfW59ik/Ghdjq8cG+KnCeSwzLFJR2ctBCAwhsAcRbiaXtCrZ7wPw+soo9u9ffD1jFe/oUm+1QM61Wt69Yz3VXgd4m9DvbU9pvWcd2iSb/V2TvWaJn7LZqn8h5Yh8kEAAt0EJMJzStW0gO8FIdXHGO49Dj2gA0X1gr4aehWnku9cJVvl73pRh4RXeeRbSb2h1VKOk172oI8xnPSADi/RuNBBx3euOrG5GHs8nZeoyL/yKam3sx9bTPxl829LBn8hAIHzEpAIH1/qz+tq5/YdErPzuGcCfPlx+45niaT9vBB74dVzYaVUr2mt98KrdeZT83HSECK96lAiab/VUKRIiL3w6rmwkt565XtNa70XXq0zn5qPE/GXzT8uC8xDAALnIzAXEa5GgNXa1VAktWSttWpCrM8HPnretlx1WnyHrHiIknpMy/5WEGe1qC2Z8Ha1qtXa1VAg+/CCibCm+nygRNbG8foOWfEQJRNi5VGL2pIJb1ermvjL5m/lhCkEILAdAnMQ4WoE2JCnhNiE1Auv2VjHq1iIzaZPeM2HTVNCaELqhdds3nnr7PAZs+kTXvNhU+KfFWJjuQT+Vg6YQgAC5ydQuwhXJ8CG3AuxXtLhn9taXpvGQvzgyebnyGbTNfVCqJd0SGg3pViIfwqtX7Wm5ScnEX9diJfGP6fMYAMBCJwlULMIZ8rD2YPc1RoT4jH+JcR9Yj3Unwnh0PzKJyHuE+uh/ojfCvFQXvvGf8xxkxcCEEgTqFWEqxmGlMbGWghAAAIQgMD5CUiEa0sIcG1nhP2BAAQgAIGdEKhNhBHgnZxmnEIAAhCAQI0EahJhBLjGEsI+QQACEIDAzgjUIsJvHBwc/LGzoxzg+P6VwwG5dpilcPgdHhmuBxD47ujygFy7zfLF7du7DYB3CFRK4P7Dshdg1f+S9a/6XtCVlht2a48I/OXly2JHE/4Bbg4Py12EiA//kuXv/pViVa+KwNyCruI0sBMQgAAEILA0Agjw0s44xwsBCEAAAlUQQICrOA3sBAQgAAEILI0AAry0M87xQgACEIBAFQQQ4CpOAzsBAQhAAAJLI4AAL+2Mc7wQgAAEIFAFgWoE+Nm/wzd/n41jovw5Norl09Fv4Zu///FrNy8rf46NYvlE/DyW2+LvzwfLEIDAdARKX/+mO9L1SNWMA/78m6bRN3y7vvkb73b83V+tH2vzyV+b5h+fxh6b5mkQZX13tuubs3FuXfSV//VRu3aszftvN831S7FH4pfmv342WIIABKYksNT6X40Af3araZ790jSPnzfNR1+lRdUL75U/t0VkjI3EWrF80rd7j35vRfXJj2kh9sJ74c3Wi4R4qI3EWrF8In5Z/v58sAwBCExHoPT1b7ojXY9UjQDr+72PDtpbyne+WRfiO0Ew7z5q12n3JbwSUa1X0rZ7x9tNvL1NXytZ3++9Ed5KGIusiaoKx4vXpy1eCe8HYd2HF9v4L35tmh+Ot3fZ9LWSiV+Wf3sm+QsBCJQgUPr6V+KYFbMaATYAKSH+9EG71Quv2UhsTXBNiM2mT3jNh01TBeHbn9utXnjNRkKsXyzEZtMnvObDpsQ/K8TGcgr+dh6YQgAC0xMoff2b+oirE2ADEAuxRPVmaCFbi9fy+GksxI+fta1k+clJcUFQ63d16ziI7KYUC7FuS6vlLD85ifinQlyCf845wwYCENgOgdLXv+0cRb+XagXYdl0COlZEV0J9fHva/OROVRCujxRRuzWdGzO2I35Z/vG5YB4CEJiWQOnr366PtpphSHceNs3Vu+3z3CEHrQ5Ztw7b39ChSHpWrBiK5dPTV03zzxftbWS/LbWsZ8VPXrY/zQ9JukWtGIrlE/HL8vfng2UIQGA6AqWvf9Md6XqkqlrAz0MvaA1HuheEMu5kFe+y7wmtbdbx6u7H6dayddKS/01JvaC/D8OL1KEq7mQV28SdtGy9dby69m76lrM9G5b/TYn4ZflvOjdsgwAEdkug9PVvt0eX9l6NAN/9W9N8ciO0ToMAa1iRF2IvvNa5SodlNl6IvfCaTeqW9rX3mubS26fje70Qe+G1zlWKb2OCvRB74TUb3Vbxifhl+fvzwTIEIDAdgdLXv+mOdD1SNQKs3ZIw+qFIEmL9LKVE1NtIiOOUsom327yE0Q9FkhDrZyklot5GQhynlE283eaJX5a/nQemEIDA9ARKX/+mP+IKhyEJQkqI+0Q0x6YLeKog9Ilojg3x0wRyWObYpKOzFgIQKEkgpy7n2JQ8RotdVQvYdsqmJqq2PGSaY9Pl105q1/bU+hyblB+ty/GVY0P8LgKshwAEShHIuZbl2JQ6PsWtphf06hlv6J2c+lBCFyA949VvaJJv9YBO9ZpePeN9FV6H+NtQb22PaT3nHZrkW739Ur2mid+yKcV/6DkkHwQgsH0Cpa9/2z+iYR6raQHfC0KqjzHcexx6QN9se0FfDb2KU8l3rpJtV69p2Ut4lUe+ldQbWi3lOOllD/oYw0kP6PASjQsddHznqhObi7HH03mJivwrn5J6+/mxxcQvy789M/yFAARKECh9/StxzIrZITHT786XH7fveJZI2s8LsRdePRdWSvWa1novvFpnPjUfJw0h0qsOJZL2Ww1FioTYC6+eCyvprVe+17TWe+HVOvOp+TgRvyz/+FwwDwEITEug9PVv2qM9jVaNAKu1q6FIaslaa9WEWJ8PfPS8bblq132HrHiIknpMy/5WEGe1qC2Z8Ha1qtXaVVd4+/CCibCm+nygRNbG8foOWavbJ6GVHQux8qhFbcmEt6tVTfyy/O08MYUABKYnUPr6N/0RtxGrEWADkBJiE1IvvGZjHa9iITabPuE1HzZNFQQTUi+8ZvPOW2eHz5hNn/CaD5sS/6wQG8sp+Nt5YAoBCExPoPT1b+ojrk6ADYAXYr2kwz+3tbw2jYX4wZPNz5HNpmvqC4Je0iGh3ZRiIf4ptH7VmpafnET8dSGemn/OOcMGAhDYDoHS17/tHEW/l0x56He8rRwmxGP8SYj7xHqoPysIQ/Mrn4S4T6yH+iN+K8RDeW2b/5i45IUABLZLoPT1b7tHc9ZbNcOQzu4aayAAAQhAAAL7SwAB3t9zy5FBAAIQgEDFBBDgik8OuwYBCEAAAvtLAAHe33PLkUEAAhCAQMUE3jg4OPij5P7dv3JYMnzTFA5f9uDLR//u6HLxnfji9u3i+8AOQKAEgfsPl30B1PWnZP2vvhd0iUJJzGkJ/OXly2kDRtHCP6DN4WG5ixDx4V+y/N2/ElUGZicnwC3oyZETEAIQgAAEIFDR15A4GRCAAAQgAIElEaAFvKSzzbFCAAIQgEA1BBDgak4FOwIBCEAAAksigAAv6WxzrBCAAAQgUA0BBLiaU8GOQAACEIDAkghUI8DPwvd09TnBMUn5c2wUy6ej38L3fP/j125eVv4cG8XyaenxPQ+WIQCB6Qhw/ZmOdRypmnHAn3/TNPqGb9c3f+Odjr/7q/VjbT75a9P849PYY9M8DaKs7852fXM2zi3RVf7XR+3asTbvv9001y/FHom/ToMlCEBgSgJLv/5NyTqOVY0Af3araZ790jSPnzfNR1+lRdUL75U/t4cyxkZirVg+6du9R7+3ovrkx7QQe+G98GbrRUI81EZirVg+LT2+58EyBCAwHQGuP9OxjiNVI8D6fu+jg/aW8p1v1oX4ThDMu4/addp5Ca9EVOuVtO3e8XYTb2/T10rW93tvhLcixiJroqrC+eL1aYtXwvtBWPfhxTb+i1+b5ofj7V02fa3kpcdvSfIXAhAoQYDrTwnqTVONANvhp4T40wftVi+8ZiOxNcE1ITabPuE1HzZNFcRvf263euE1GwmxfrEQm02f8JoPmy49vnFgCgEITE+A68+0zKsTYDv8WIglqjdDC9lavJbHT2MhfvysbSXLT06KC6Jav6tbx0FkN6VYiHVbWi1n+clJS4+fwwwbCEBgOwS4/myHY5+XagXYdlwCOlZEV0J9fHva/OROVRCvjxRRuzWdGzO2W3r8mAXzEIDAtAS4/uyWdzXDkO48bJqrd9vnuUMOWR2ybh22v6FDkfSsWDEUy6enr5rmny/a28h+W2pZz4qfvGx/mh+SdItaMRTLp6XH9zxYhgAEpiPA9Wc61nGkqlrAz0MvaA1HuheEMu5kFe+w7wmtbdbx6u7H6dayddKS/01JvaC/D8OL1KEq7mQV28SdtGy9dby69m76lrM9G5b/TWnp8TexYRsEILBbAlx/dss35b0aAb77t6b55EZonQYB1rAiL8ReeK1zlQ7KbLwQe+E1m9Qt7WvvNc2lt0/H93oh9sJrnasU38YEeyH2wms2uq3j09Ljex4sQwAC0xHg+jMd6zhSNQKsnZIw+qFIEmL9LKVE1NtIiOOUsom327yE0Q9FkhDrZyklot5GQhynlE283eaXHt84MIUABKYnwPVneuZVCbAdfkqI+0Q0x8bi+WmqIPaJaI6Nj2vLOb5ybCyen+b4yrHxcVmGAATKE8ipyzk2XUea4yvHpiv+lOurFGADYKJqy0OmOTZdfu2kdm1Prc+xSfnRuhxfOTa1xu/aL9ZDAAK7J5BzLcmx6TqSHF85Nl3xp1hfTS/o1TPe0Ds59aGELhB6xqvf0CTf6gGd6jW9esb7KryO8reh3toe03rOOzTJt3obpnpNLz3+UIbkgwAEtk+A68/2mQ7xWE0L+F4QUn2M4d7j0AP6ZtsL+mroVZxKvnOVbLt6Tctewqs88q2k3tBqKcdJL9vQxxhOekCHl2hc6KDjO1ed2FyMPZ7OS3jlX/mU1NvQjy1eevyWDH8hAIESBLj+lKBe0asov/y4fcezRNJ+Xoi98Oq5sFKq17TWe+HVOvOp+ThpCJFeNSmRtN9qKFIkxF549VxYSW+98r2mtd4Lr9aZT83HaenxYxbMQwAC0xLg+jMtb4vW0cazzdNN1drVUCS1ZK21akKszwc+et62XLVHvkNWPERJPaZlfyuIs1rUlkx4u1rVau2qK759eMFEWFN9PlAia+N4fYes1e2b0MqOhVh51KK2ZMLb1apeenzjxBQCEJieANef6ZkrYjUCbIefEmITUi+8ZmMdr2IhNps+4TUfNk0VRBNSL7xm885bZ4cvmU2f8JoPmy49vnFgCgEITE+A68+0zKsTYDt8L8R6SYd/bmt5bRoL8YMnm58jm03X1BdEvaRDQrspxUL8U2j9qjUtPzlp6fFzmGEDAQhshwDXn+1w7POSKQ99bre33YR4jEcJcZ9YD/VnBXFofuWTEPeJ9VB/S48/lBP5IACB7RPg+rN9prHHaoYhxTvFPAQgAAEIQGDfCSDA+36GOT4IQAACEKiSAAJc5WlhpyAAAQhAYN8JIMD7foY5PghAAAIQqJLAGwcHB3+U3LP7Vw5Lhm+awuHLHnzTfHd0ufQuNF/cvl18H9gBCJQgcP/hwi9AJaBHMXX9K3n9qb4XdMSK2R0R+MvLlzvy3O82/APYHB6WuwgRH/4ly9/9K/11hBz7S4Bb0Pt7bjkyCEAAAhComAACXPHJYdcgAAEIQGB/CSDA+3tuOTIIQAACEKiYAAJc8clh1yAAAQhAYH8JIMD7e245MghAAAIQqJgAAlzxyWHXIAABCEBgfwlUI8DPwvd09TnBMUn5c2wUy6ej38L3fP/j125eVv4cG8XyqXR8vz8sQwAC0xEoXf+XHn+6M70eqZpxwJ9/0zT6hm/XN3/j3Y6/+6v1Y20++WvT/OPT2GPTPA2irG/4dn3zN84t0VX+10ft2rE277/dNNcvxR7Lx1/fG5YgAIEpCSz9+lP6+Kc813GsagT4s1tN8+yXpnn8vGk++iotql54r/y5PZQxNhJrxfJJ3+49+r0V1Sc/poXYC++FN1svEuKhNhJrxfKpdHy/PyxDAALTEShd/5cef7ozvR6pGgHW93sfHbS3lO98sy7Ed4Jg3n3UrtPuS3glolqvpG33jrebeHubvlayvt97I7yVMRZZE1UVzhevT1u8Et4PwroPL7bxX/zaND8cb++y6Wsll47fHgl/IQCBEgRK1/+lxy9xzhWzGgE2ACkh/vRBu9ULr9lIbE1w7x0Lsdn0Ca/5sGmqIH77c7vVC6/ZSIj1i4XYbPqE13zYtHR82w+mEIDA9ARK1/+lx5/6jFcnwAYgFuJ7QVRvhhaytXgtj5/GQvz4WdtKlp+cFBdEtX5Xt46DyG5KsRDrtrRazvKTk0rHz9lnbCAAge0QKF3/lx5/O2ex30u1Amy7LgEdK6IroT6+PW1+cqcqiNdHiqjdms6NGduVjh/vC/MQgMC0BErX/6XH3/XZrmYY0p2HTXP1bvs8d8hBq0PWrcP2N3Qokp4VK4Zi+fT0VdP880V7G9lvSy3rWfGTl+1P80OSblErhmL5VDq+3x+WIQCB6QiUrv9Ljz/dmV6PVFUL+HnoBa3hSPeCUMadrOJd9j2htc06Xt39ON1atk5a8r8pqRf092F4kTpUxZ2sYpu4k5att45X195N33K2Z8PyvymVjr9p39gGAQjslkDp+r/0+Ls9u2nv1Qjw3b81zSc3Qus0CLCGFXkh9sJrnat0WGbjhdgLr9mkbmlfe69pLr19Or7XC7EXXutcpfg2JtgLsRdes9FtHZ9Kx/f7wzIEIDAdgdL1f+nxpzvT65GqEWDtloTRD0WSEOtnKSWi3kZCHKeUTbzd5iWMfiiShFg/SykR9TYS4jilbOLtNl86vu0HUwhAYHoCpev/0uNPf8YrHIYkCCkh7hPRHJsu4KmC2CeiOTa1xu/aL9ZDAAK7J5BzLcmx6TqSHF85NrXG79qvXayvqgXsD9BE1a/ftJxj0+XPClXX9tT6HJuUH63L8ZVj0xWf9RCAQDkCOXU5x6brCHN85djUGr9rv7a5vppe0KtnvKF3cupDCV0HrGe8+g1N8q0e0Kle06tnvK/C6yh/G+qt7TGt57xDk3yrt2Gq13Tp+EOPgXwQgMD2CZSu/0uPv/0zOsxjNS3ge0FI9TGGe49DD+ibbS/oq6FXcSr5zlWy7eo1LXsJr/LIt5J6Q6ulHCe9bEMfYzjpAR1eonGhg47vXHViczH2eDov4ZV/5VNSb0M/trh0/HbP+AsBCJQgULr+Lz1+iXOumB0SM/3ufPlx+45niaT9vBB74dVzYaVUr2mt98KrdeZT83HSECK9alIiab/VUKRIiL3w6rmwkt565XtNa70XXq0zn5qPU+n48b4wDwEITEugdP1fevxpz/ZptGoEWK1dDUVSS9ZaqybE+nzgo+dty1W77jtkxUOU1GNa9reCOKtFbcmEt6tVrdauuuLbhxdMhDXV5wMlsmq5KvkOWavbN6GVHQux8qhFbcmEt6tVXTq+7SdTCEBgegKl6//S409/xtuI1QiwAUgJsQmpF16zsY5XsRCbTZ/wmg+bpgqiCakXXrN5562zw5fMpk94zYdNS8e3/WAKAQhMT6B0/V96/KnPeHUCbAC8EOslHf65reW1aSzED55sfo5sNl1TXxD1kg4J7aYUC/FPofWr1rT85KTS8XP2GRsIQGA7BErX/6XH385Z7PeSKQ/9jreVw4R4jD8JcZ9YD/VnBXFofuWTEPeJ9VB/peMP3U/yQQAC2ydQuv4vPf72z+i6x2qGIa3vFksQgAAEIACB/SaAAO/3+eXoIAABCECgUgIIcKUnht2CAAQgAIH9JoAA7/f55eggAAEIQKBSAm8cHBz8UXLf7l85LBm+aQqH/+7octnjD9G/uH27+D6wAxAoQeD+w8IXgBIHTcwTArr+lrz+Vd8L+oTUHs/85eXLYkcX/gFrDg/LXYSID/+S5e/+lWJVj8AQaLgFTSGAAAQgAAEIFCCAABeATkgIQAACEIAAAkwZgAAEIAABCBQggAAXgE5ICEAAAhCAAAJMGYAABCAAAQgUIIAAF4BOSAhAAAIQgEA1AvwsfE9XnxMck5Q/x0axfDr6LXzP9z9+7eZl5c+xUSwSBCBQD4HS9Z/4edfSuV9/qxkH/Pk3TaNv+HZ98zeuqvF3f7V+rM0nf22af3wae2yap0GU9Q3frm/+xrl10pX/9VG7dqzN+283zfVLsUfmIQCBkgRK13/iL/P6W40Af3araZ790jSPnzfNR1+lRdUL75U/t1V2jI3EWrF80rd7j35vRfXJj2kh9sJ74c3Wi4R4qI3EWrFIEIBAPQRK13/iL/P6W40A6/u9jw7aW8p3vlkX4jtBMO8+atepykp4JaJar6Rt9463m3h7m75Wsr7feyO8FTIWWRNVVY4Xr09bvBLeD8K6Dy+28V/82jQ/HG/vshnSSm698RcCEJiaQOn6T/xlXn+rEWCrcCkh/vRBu9ULr9lIbE1wTYjNpk94zYdNUxXh25/brV54zUZCrF8sxGaD8BolphCon0Dp+k/8s0Js19J9vP5WJ8BWRWMhlqjeDC1ka/FaHj+Nhfjxs7aVLD85Ka4Iav2ubh0Hkd2UYiHWbWm1nOWHBAEIzItA6fpP/FMh3ufrb7UCbNVVAjpWRFdCfXx72vzkTlURro8UUbs1nRsTOwhAoA4Cpes/8ff7+lvNMKQ7D5vm6t32ee6QqqcOWbcO29/QoUh6VqwYiuXT01dN888X7W1kvy21rGfFT162P80PSbpFrRiKRYIABOohULr+E3+Z19+qWsDPQy9oDUe6F4Qy7mQVV1PfE1rbrOPV3Y/TrWXrpCX/m5J6QX8fhhepQ1XcySq2iTtp2XrreHXt3fQtZ3s2LP8kCECgTgKl6z/xl3f9rUaA7/6taT65EVqnQYA1rMgLsRde61ylqmw2Xoi98JpN6pb2tfea5tLbp+N7vRB74bXOVYpvY4K9EHvhNRvdViJBAAL1EChd/4m/zOtvNQKsqihh9EORJMT6WUqJqLeREMcpZRNvt3kJox+KJCHWz1JKRL2NhDhOKZt4O/MQgEB5AqXrP/GXd/2tSoCtCqaEuE9Ec2wsnp+mKkKfiObY+LgsQwAC5Qnk1OUcm64jzfGVY0P8LgLTra9SgO3wTVRtecg0x6bLrxXqru2p9Tk2KT+sgwAEyhLIqcs5Nl1HmeMrx4b4XQR2v76aXtCrZ7yhd3LqQwldGPSMV7+hSb7VAzrVa3r1jPdVeB3ab0O9tT2m9Zx3aJJv9XYc2mt6qF/yQQAC5yNQuv4Tv702Lu36W00L+F4QUn2M4d7j0AP6ZtsL+mroVZxKvnOVbLt6Tctewqs88q2k3tBqKcdJg731MYaTHtDhJRoXOuj4zlUnNhdjj6fzKlTyr3xK6u04dmxxa8lfCEBgFwRK13/iL/P62yExuyjim31++XH7jmeJpP28EHvh1XNhpVSvaa33wqt15lPzcdIQIr3qTCJpv9VQpEiIvfDqubCS3nrle01rvRderTOfmidBAAJ1EChd/4m/zOtvNQKs1q6GIqkla61VE2J9PvDR87blqurqO2TFQ5TUY1r2t4I4q0VtyYS3q1Wt1q6GAtiHF0yENdXnAyWyNo7Xd8ha3T4KrexYiJVHLWpLJrxdrWrLxxQCEJieQOn6T/xlXn+rEWCrcikhNiH1wms21vEqFmKz6RNe82HTVEUwIfXCazbvvHW2+7zZILxGiSkE6idQuv4T/6wQ27V0H6+/1QmwVVEvxHpJh39ua3ltGgvxgyebnyObTdfUVwS9pENCuynFQvxTaP2qNS0/JAhAYF4EStd/4q8L8b5ef6uXBxPiMdVXQtwn1kP9WUUYml/5JMR9Yj3GH3khAIEyBErXf+K3Qjzm7M/p+lvNMKQxgMkLAQhAAAIQmDsBBHjuZ5D9hwAEIACBWRJAgGd52thpCEAAAhCYOwEEeO5nkP2HAAQgAIFZEnjj4ODgj5J7fv/hYcnwzXdHl4vGV/Avbt8uvg/sAARKEChd/0scMzHrIaDrf8nrb/W9oHd9qgT/8LDcPwHhHyDiw3/XxbzTf+nydz+8MIcEgaUSWPYt6IOlnnaOGwIQgAAEShNYrgAjvqXLHvEhAAEILJrAMgUY8V10oefgIQABCNRAYHkCjPjWUO7YBwhAAAKLJ7AsAUZ8F1/gAQABCECgFgLLEWDEt5Yyx35AAAIQgEAgUI0A6+P1+q7umKT8g2wi8dUnC5+Fb/eSIACBegjstP5Hh6nrhWL5RPyB19II3ODrr7OpkX+0i5PO/mnSaBuCPQ2iqO8+dn3zMTbViVf+10ft2o02x+Ibfyv4k782zT8+jT0yDwEIlCSws/p/fFDxNeP9t5vm+qX1oyX+jq6/M+G/XhqmW6pGgPXt3KPfW1F98mNaiONKJEQX3mxBSYiTNkF8Y+FV7pth4P9nt1o7/kIAAnUQ2En9D4fmrxn6Z12xfCL+Dq6/M+Lvy8NUy9UIcPwxe2vdmqiqcrx4fdrilfB+ENZ9eLHF9OLXpvnheLvZ/Ot/Ns3dw6Z5/LzNI+G9+/H2vhM81QkiDgSWQGDb9d9fMzbeJQuAid80N8JbeeN/WOxa6lkOuf56m9r5l6pj1QiwAUhVhG9/brf6E282EmL9TIj/h25NP2i3IrxGiSkE6iewjfqvO2J2zei78HsixD8rxMZy6PV3zvx9edj1cnUCbAccVwS1fle3jo5bvJbHT1dC/FnTfPkotHyftbeab131uViGAARqJ5Bd/4//EZcIqBUmPzmJ+KdCPOr6uyf8c8pMjk21AmwHo4pwfWglOmit7ugZL895DSFTCMyWwKj6f3yU9mhqGwdN/BHX3z3kv40ytMlHNQL89FXbCy9+trtpx+1ZhfJcezf8p/v/bcrdbrsbWsb3wk+9oO/+rT8/OSAAgWkInLv+D/gn3R5RqRf0tffWj4v457z+zpz/emmYbqkaAdYhqxf092F4kTpUdQmxCa9uMVm6GHpN3wwdrro6WZnwPv/FLJhCAAK1Ecit/9ZZaPWPeEIITHjlf1Mift71d1/4byobu9pWjQDrP9JL4T9T6wHthdgLr3Wu+D/hW/Y3v2l7O3/0VTvMyITYCy8dsnZVjPALgfMRyK3/imrXDC8EXnjtmqHbyj4RP+/6K477wN+Xh6mWqxFgHbAqhu8KLyHWz9JaJTpoH/U+CtN4vK+EOE4Ib0yDeQjUSWB0/T8+DH/NkBDHae2aEW9w88Qfef095rcv/F1xmGSxKgG2I05VhDOVKIhunNTb2QsxwhsTYh4C8yAwqP67Q8mxcS5OFnN85dicBHQzOb5ybFzYk8UcXzk2JwHdTI6vHBsXtshilQJsJAyqLZ9MnfierA8zJsTxOuYhAIH5Eeis/xsOJcemy12Orxwb4qcJ5LDMsUlHn2ZtNR9jWD3jfZV+Ufoaikh89YxXv6FJH2G487C9XT3UhnwQgMDuCQyu/9Gu6BmvfkOTPgKg3s6K5RPxWzapDyV4Vra8T/ztmKaeVtMC1mBvfYzhpAd0GER/we/dsfj6zlX3ggjr/c6r8b8JghJe5bn3uN2o3tC8oCMBilUQKERgUP0/3jffuerkmnExvfMSFflXPiX1dvbvFiD+gOtvi+/kjYPWq3wf+B8f2uQTL3GT74AF1BACvepMJ9N+q6FIJsQHbWtXQmrDifSMV0nve/489IT2QuyFV3k/u8nHGMSBBIGaCPTW/7CzXnjVL0RJQxL9qAmt98KrdXZN0XyciN9z/Q2w9pl/XBamnK9GgNXa1VAAe4m3ibCmX4YXZzy6uy68NtRIsOIe0CbEt4I4P/jXKUoT3qtB6EkQgEBdBDbVf704QyJrLS7fIXN1+zjc5YqFWHl0R82SCe+Zu2rHGYjfff1dAn8rJ1NPqxFgO3BfEf5bEODmWEi7ejVbx6tYiE18EV4jyxQC9RPw9V//gJuQeuG1o3nnrbPDZ8ymT3jNh02Jf1aIjeUS+Fs5mGpanQDbga8qwv9uby3p1vInN/qf28ZC/OBJe6uZFq8RZQqB+RDwQqiX9EhoN6VYiH8KrV/dTZOfnET8dSFeGv+cMpNjk1k8c0KNtDlo80tAx763WUJMJ6uRvMkOgQoJmBCO2TUJcZ9YD/VH/FaIh/JSvn3iP+a4c/JWMwxpbeePxXdtHQsQgAAEIACBPSJQnwAjvntUvDgUCEAAAhDoIlCXACO+XeeJ9RCAAAQgsGcE6hFgxHfPihaHAwEIQAACmwi8cXBw8MemDLve9vevv26+uB2+KUiCAAQmJ3D/4eHkMQkIgVoIfHd0uaj+/KkGEAeHh014QVWRFP4BaQ5D/FKJ+PAvWf7uhxfWkCAAgTIEqrkFffya5jIUiAoBCEAAAhCYmEA1AqzjRoQnPvuEgwAEIACBYgSqEmBRQISHlwXdPeQO4nBe5IQABCBQE4HqBFhwEOFhReSzkE0/EgQgAAEIzI9AlQIsjIhwf2H6JGTRjwQBCEAAAvMjUK0ACyUi3F2g1PINr7xe/WgFd3NiCwQgAIFaCVQtwIKGCKeLTtzyjefTuVkLgc0E9PF6fVd3TFL+HBvF8on4eSzh70vS5mXxSpW/zVa721rFOOC+w5MI3+zLtKDtYnErOl7Na504kSCQQ+Dpv9vv7nZ98zX2qYuY8r8+ateOtdEH3q9fij22/vTd2bG+5GWsDfHh78vfemmcbmkWAiwcEheJDCn93FetYASY0pFLQN/OPfq9FdUnP6ZFzQvvhTfbaBLioTYSS8XyifjwL1n+fHmcank2AiwgiHA77OhOonRo3b3we57YxioI9BGIP2ZvrVsTVYnji9enLV4J7wdh3YcXW68vfm2aH463d9n0tVKJ3zQ3Lre3oeG//o/gFOWvr37savusBFgQli7Cm573aptEmASBXAIpIfz259abF16LISHWLxZis+kTXvNhU+KfFWJjCf/1f/yszGyz/JnPqaazE2CBWbIIb+rxrG0I8FRVZ7/jxEKo1u/q1vFxi7fryOMLoW5Lq+UiPzmJ+KdCDP/py19Omc2xmaUA60CXKMI3w3Ff3XCWtU15xIYEgW0QkBBeHymiEuJtJeLDv2T521Y57vIzWwHWAS1NhFPPfv2JVZ5P/UqWIdBD4Omrthd0/Gx3k4l1yFKea+8Oa+naLWr1Qr723rp34sNfveBLlb/10jjd0qwFWJiWIsJXwrFuev5rRUZ5lPe5rWAKgYEE1Av1+zC8SB2qui6EJrw2BEmureNVlxCb8Mr/pkR8+Jcsf5vK5q62zV6Adct1CWnTs19//Mr7uV/JMgQ2EFCL9FJomVoPXH8h9MJrnavk0my8EHvhNZvUc2Hiw79k+dtQNXa6adYCvBTxVQkY0vq1kqK8CLDRYDqUQNzxyURVQqyfpZSIpobPWH5NUzbxdpsn/mnHK/i3Q5GmLH9WDqeczlaAlya+6mA1NCmvRPjBUAPyQSAikBLCPhHNsYlCrs3m+MqxWQsaLeT4yrGJQq7N5vjKsVkLGi3k+MqxiUKuzeb4yrFZC1poYZYCvCTxVbkYc/vZypFsEGCjwTSHgF3Uxtjm2HT5z/GVY0P8NIEcljk26ehtxz7dXRmTthl/TNzcvP+Va1jKbmniq+O9lQFbNktjlYEJk2MCq2e8r8a9qF7PePUbmvQSfPV2ViyfiN+yGfOhAPhvr/z58jjV8qxawEsUlDHPfn2hke1jv5JlCCQI6GUPGgZy0gM6vETjQsfVwXeuOrG5mHAcVklU5F/5lNTb2Y/tJD78S5a/tmRO/7ejik2/I30Rlyi+YjJk7G8XO9nSGauLDutjAhpCpFcdSiTttxqKFAmxF149F1bSkCR1lvFC7IVXec2n5uNEfPiXLH9xWZxyfhYCvFTxzXn26wuPfPB6Sk+FZU9ArV0NBbIX35sIa6oXZ0hkbRyv75AVD1EyIVYetWgsmfB2taqJD/+S5c/K6dTT6gV4qeKrgnCe289WkOQDATYaTPsIpITQhNQLr/myji+xEJtNn/CaD5sS/6wQG0v4BzaJt65ts/xZOZxqWrUAL1l8dew5na98wbHOWI/9BpYhsIGAF0K9JEEXuk0pvhD+FFq/ak3LT04i/roQw3/a8pdTZnNsMqtHTqhxNksWX5E6z7NfT1q+eD+0p8LyEAImhEPyWh4JcZ9YW96+KfFbIe7jFG+H//bKX8x1F/NVCvDSxVcnGsHcRXHHJwQgAIF6CPxXPbvS7gniW9sZYX8gAAEIQGAXBKoSYMR3F6cYnxCAAAQgUCOBagQY8a2xeLBPEIAABCCwKwJvHBwc/LEr50P8/v3rr5svbt8ekpU8ENg7AvcfHu7dMXFAEJgLge+OLhfVnyo6YR0cHhZ7b3H4B6Q5DPFLJeIvm//9K6VKHnEhAIHSBKq5Bf24NAniQwACEIAABCYkUI0A65gR4QnPPKEgAAEIQKAogaoEWCQQ4aLlgeAQgAAEIDARgeoEWMeNCE909gkDAQhAAALFCFQpwKKBCBcrEwSGAAQgAIEJCFQrwDp2RHiCEkAICEAAAhAoQqBqARYRRLhIuSDoxAT08Xp9zm9MUv4cG8Xyifh5LOHvS9LmZfGqsfxt3uvdba1iHHDf4UmEb/ZlYjsEZkzg6b/bD9h3ffM1PjRdxJT/9VG7dqzN+283zfVLscfWn747O9aXvIy1IT78ayt/67VhuqVZCLBwIMLTFQoiTU9A3849+r0V1Sc/pkXNC++FN9v9lBAPtZFYKpZPxIf/ksufrw9TLc9GgAUEEZ6qWBBnagLxx+ytdWuiKnF88fq0xSvh/SCs+/Biu5cvfm2aH463d9n0tVKJ3zQ3Lre3oeG//o/gEsrf1PXd4s1KgLXTiLCdOqb7SCAlhN/+3B6pF147fgmxfrEQm02f8JoPmxL/rBAbS/iv/+NnZWafyp8d01TT2QmwwCDCUxUP4pQiEAuhWr+rW8fHLd6ufYovhLotrZaL/OQk4p8KMfyXV/5y6kyOzSwFWAeKCOecbmzmRkBCeH2kiEqIt5WID/8ll79t1aMuP7MVYB0QItx1Wlk/NwJPX7W9oONnu5uOwTpkKc+1d4e1dO0WtXohX3tv3Tvx4a9e8Estf+u1YbqlWQuwMCHC0xUWIu2WgHqhfh+GF6lDVdeF0ITXhiBpj6zjVZcQm/DK/6ZEfPgvufxtqhu72jZ7Ab65KzL4hcCEBNQivRRaptYD118IvfBa5yrtotl4IfbCazap58LEh/+Sy9+EVX0t1KwFGPFdO5cszJxA3PHJRFVCrJ+llIimhs9Yfk1TNvF2myf+accr+LdDkZZU/qweTDmdrQAjvlMWE2JNSSAlhH0immPTdUw5vnJsiJ8mkMMyxyYdve1P4P+pW1L56+Kyi/WzFGDEdxdFAZ+1EbCL6pj9yrHp8p/jK8eG+GkCOSxzbNLRT4W4a3tq/T7FTx3fttdV/zEGf8CIryfC8j4QWD3jfZV+UX3X8ekZr35Dk16Cr97OiuUT8Vs2qQ8FeFa2DP/9KX92TqeezqoFjPhOXTyINxUBvexBw0BOekCHl2hc6KidvnPViU3H+F+Jivwrn5J6O/uxncSH/5LLX1szpv/bUcWn35G+iIhvHyG2z5mAhhDpVYcSSfuthiJFQuyFV8/llDQkyfea1novvFpnPjUfJ+LDf8nlL64LU87PQoAR3ymLBLFKEFBrV0OB7MX3JsKa6sUZElkbx+s7xMRDlEyIlUctGksmvF2tauLDf8nlz+rJ1NPqBRjxnbpIEK8kgZQQmpB64bX9tI4vsRCbTZ/wmg+bEv+sEBtL+Ac2ibeu7VP5s3ow1bRqAUZ8pyoGxKmNgBdCvSRBF7pNKb4Q/hRav2pNy09OIv66EMN/WeUvp87k2GRWz5xQ42wQ33G8yL2fBEwIxxydhLhPrIf6I34rxEN5KR/896f8jTnvOXmrHIaE+OacSmwgAAEIQGBOBKoTYMR3TsWHfYUABCAAgVwCVQkw4pt7GrGDAAQgAIG5EahGgBHfuRUd9hcCEIAABM5D4I2Dg4M/zuPgvLZ///rr5ovbt8/rBnsIZBG4//Awyw4jCEBg/gS+O7pcVH+q6AV9cHjYlGoBh39AmsMQv1Qifln+96+UOvPEhQAElk6gmlvQj5d+Jjh+CEAAAhBYFIFqBFjUEeFFlT0OFgIQgMCiCVQlwDoTiPCiyyMHDwEIQGAxBKoTYJFHhBdT/jhQCEAAAoslUKUA62wgwostkxw4BCAAgUUQqFaARR8RXkQZ5CAhAAEILJJA1QKsM4IIL7JcTn7Q+ni9Puc3Jil/jo1i+UT8PJbw9yVp87J4Uf42M5pyaxXjgPsOWCJ8sy8T2yFwDgJP/91+wL7rm6+xa13ElP/1Ubt2rM37bzfN9Uuxx9afvjs71pe8jLUhPvwpf+v1r9TSLARYcBDhUkVkGXH17dyj31tRffJjWtS88F54s2UjIR5qI7FULJ+ID3/KX7n65+vjVMuzEWABQYSnKhbLixN/zN5atyaqEscXr09bvBLeD8K6Dy+2nF782jQ/HG/vsulrpRK/aW5cDoyjuwtdLOFP+dt2/St1xZuVAAsSIlyqqCwjbkoIv/25PXZ/4TciEmL9YiE2mz7hNR82Jf5ZITaW8F8XXiszlL/t1T9jOtV0dgIsMIjwVMVjuXFiIVTrd3Xr+LjF20UlvhDqtrRazvKTk4h/KsTwp/xNXf9y6myOzSwFWAeKCOecbmzGEpAQXh8pohLibSXiw5/yN642bbP+jYs8PvdsBViHigiPP+FYpAk8fdX2go6fLaVztmvtWaWWrr07rKVrt6jVC/nae60f+0t8+KsXPOXvtG+F1Y3UdNv1LxVjinWzFmABQoSnKCbLiKFeqN+H4UXqUNV1IbSKb0OQRMY6C3UJsQmv/G9KxIc/5a9c/dtUN3e1bfYCfHNXZPC7KAJqkV4KLVPrAe0vhF54rXOVIJmNF2IvvGaTei5MfPhT/k7r0tT1r9TFbtYCjPiWKjb7GTfu+GSiqguBfpZSIpoaPmP5NU3ZxNttnvinHa/g3w57o/xNV/+sHk45na0AI75TFpNlxUoJYZ+I5th0Uc3xlWND/DSBHJY5NunobX8C/08d5W9zX4tt8u86L7tYP0sBRnx3URTw6QlYpfbrNy3n2HT5y/GVY0P8NIEcljk26einQty1PbWe+O1dlBSbGtdV/zEGDw3x9URY3gaB1TPeV+kX1Xf51zNe/YYmvQRfvZ0Vyyfit2xSHwrwrGwZ/pS/bdU/K1NTT2fVAkZ8py4ey4mnlz1oGMhJD+jwEo0LHbVDlV75rFfziU3H+F+Jivwrn5Ls/NhO4sOf8leu/rU1c/q/HZeY6XekLyLi20eI7echoCFEetWhRNJ+q6FIkRB74dVzOSUNSfK9NrXeC6/WmU/Nx4n48Kf8nda9k39qJ6p/cV2ccn4WAoz4TlkklhlLrV0NBbIPL5gIa6oXZ0hkrcXrO8TEQ5RMiJVHLRpLJrxdrWriw5/yV67+WT2delq9ACO+UxeJZcdLCaEJqRdeI2UdX2IhNps+4TUfNiX+WSE2lvBP9wSm/J0dvmZlZmz9s3o41bRqAUZ8pyoGxPEEvBDqJQm60G1K8YXwp9D6VWtafnIS8deFGP6UvynrX06dzbHJvDzkhBpng/iO40Xu3RAwIRzjXReKvovFUH/Eb4V4KC/lgz/lb1v1b0y5y8lb5TAkxDfnVGIDAQhAAAJzIlCdACO+cyo+7CsEIAABCOQSqEqAEd/c04gdBCAAAQjMjUA1Aoz4zq3osL8QgAAEIHAeAm8cHBz8cR4H57X9+9dfN1/cvn1eN9jPlMD9h4cz3XN2GwIQmDuB744uF9WfKnpBHxweNqVawOEfkOYwxC+Vlh7//pVS5IkLAQhAoCyBam5BPy7LgegQgAAEIACBSQlUI8A6akR40nNPMAhAAAIQKEigKgEWB0S4YGkgNAQgAAEITEagOgHWkSPCk51/AkEAAhCAQCECVQqwWCDChUoEYSEAAQhAYBIC1Qqwjh4RnqQMEAQCEIAABAoQqFqAxQMRLlAqCoTUx+v1Ob8xSflzbBTLJ+LnsYS/L0mbl8WL8neWUen6d3aPpllTxTjgvkOVCN/sy8T2WRN4+u/2A/Zd33yND04XMeV/fdSuHWvz/ttNc/1S7LH1p2+IjvUlL2NtiA9/yl9d9W99b6ZbmoUACwciPF2hKBFJ3849+r0V1Sc/pkXNC++FN9s9lRAPtZFYKpZPxIc/5W+59c9fD6Zano0ACwgiPFWxmD6Ovt9543J7G9RatyaqEscXr09bvBLeD8K6Dy+2+/ni16b54Xh7l01fK5X48Kf8Lbf+TX/FayPOSoC1y4hwqaIyTdyUEH77cxvbC6/tkYRYv1iIzaZPeM2HTYl/VoiNJfzX//GzMkP525/6Z+d0qunsBFhgEOGpike5OLEQqvW7unV83OLt2qv4Qqjb0mo5y09OIv6pEMOf8re0+pdzzcixmaUA60AR4ZzTPT8bCeH1kSIqId5WIj78KX/jatM+1b9xRz4+92wFWIeKCI8/4bVaPH3V9oKOn+1u2lfrkKU8194d1tK1W9TqhXztvXXvxIe/esFT/k77VqzXkPWlfat/60c33dKsBViYSosw8bc3REy9UL8Pw4vUoarrQmgV34YgqQxYx6suITbhlf9Nifjwp/wtt/5tujbsatvsBVhgSomg4ioR//wirBbppdAytR7Q/kLohdc6V4m/2Xgh9sJrNqnnwsSHP+XvtC4trf7pOlIivRE+CP9HicAW8+9ff928fPnSFs81vZlhHY6/OTw8HG1p4hsbEj+mMWz+jytn83mxjXN0iWiOTew3ns/xlWMTx4znc3zl2MQx4/kcXzk2ccx4PsdXjk0cM57P8ZVjE8eM53N85djEMeP5HF85NnHMeD7HV46NYn53dLn54vbtOPyk83vRAjZiU7VEU+KrfSD++VvC4hj3QLbWbZfwKr9Sjk1refZvjq8cm7OR2zU5vnJsiJ8mkMMyxyYdPa8sE/+01/7Qa0YX/ynX75UAC9yuRbBLfO2kEX87IiyedlExtkOmOTZdfnN85dgQP00gh2WOTTo65S+HZY5Nrfy79mub66v/GEPOwfaJZI5P2Qz1OzTf2P0Y6ndovprir24hvUq/qL5rP/WMV7+hSS98V29nxfKJ+C2b1IcCPCtbhj/lb1/qn5Xpqad71wI2gBKhm7awhelYUSP+OP562YOGgZz0gA4v0bjQUTpV6ZXPejWf2HSM/5WoyL/yKcnOj+0kPvwpf8utf+2VYfq/HZe46XdkFxG3JYJjxdeOhfjDRVhDiPSqQ4mk/VZDkSIh9sKr58JKGpLke21qvRderTOfmo8T8eFP+Tuteyf/1C6k/sXXginn91qABfK8IpgrvnYSiT9MhNXa1VAg+/CCibCmenGGRNZavL5DVtwD0oRYedSisWTC29WqJj78KX/LrX92nZh6uvcCLKC5Inhe8bWTSfxhIixeKSE0IfXCa3yt40csxGbTJ7zmw6bEPyvExhL+gU3irWuUv7M9kK3MzK3+2XVgqukiBFgwx4rgtsTXTiTxh4uwmHkh1EsSdKHblOIL4U+h9avWtPzkJOKvCzH8KX9Lqn8514wcm8zLU06o8jZDRXDb4mtHTvxxIixuJoTGcMhUF4q+i8UQP8pD/FaIh/JSPvhT/val/o0p9zl593IY0iYQfeLat32T7yHb+vz3bR8SY1OePv992zf5HrJt1/6H7AN5IAABCNRAYHECLOhdItC1ftsnqitO1/qlxN/2ceIPAhCAQM0EFinAOiFe7Pzyrk+aj+eXlxZ/18eLfwhAAAK1EVisAOtEmOjZdOqTY3FtutT4Ux838SAAAQjUQKCKryHVAIJ9gAAEIACB5RFY9NeQSh788ooaRwwBCEAAArUQWPQt6FpOAvsBAQhAAALLI4AAL++cc8QQgAAEIFABAQS4gpPALkAAAhCAwPIIIMDLO+ccMQQgAAEIVEAAAa7gJLALEIAABCCwPAII8PLOOUcMAQhAAAIVEECAKzgJ7AIEIAABCCyPAAK8vHPOEUMAAhCAQAUEEOAKTgK7AAEIQAACyyOAAC/vnHPEEIAABCBQAQEEuIKTwC5AAAIQgMDyCCDAyzvnHDEEIAABCFRAAAGu4CSwCxCAAAQgsDwCCPDyzjlHDAEIQAACFRBAgCs4CewCBCAAAQgsjwACvLxzzhFDAAIQgEAFBBDgCk4CuwABCEAAAssjgAAv75xzxBCAAAQgUAEBBLiCk8AuQAACEIDA8gggwMs75xwxBCAAAQhUQAABruAksAsQgAAEILA8Agjw8s45RwwBCEAAAhUQQIArOAnsAgQgAAEILI8AAry8c84RQwACEIBABQQQ4ApOArsAAQhAAALLI4AAL++cc8QQgAAEIFABAQS4gpPALkAAAhCAwPIIIMDLO+ccMQQgAAEIVEAAAa7gJLALEIAABCCwPAII8PLOOUcMAQhAAAIVEPj/Abpdp2XNecl4AAAAAElFTkSuQmCC",
- "text/plain": [
- "<PIL.Image.Image image mode=RGBA size=480x480>"
- ]
- },
- "metadata": {},
- "output_type": "display_data"
- },
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "The shield for shield_value = 0.0\n"
- ]
- },
- {
- "data": {
- "image/png": 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",
- "text/plain": [
- "<PIL.Image.Image image mode=RGBA size=480x480>"
- ]
- },
- "metadata": {},
- "output_type": "display_data"
- },
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "The shield for shield_value = 0.9\n"
- ]
- },
- {
- "data": {
- "image/png": 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",
- "text/plain": [
- "<PIL.Image.Image image mode=RGBA size=480x480>"
- ]
- },
- "metadata": {},
- "output_type": "display_data"
- },
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "The shield for shield_value = 0.99\n"
- ]
- },
- {
- "data": {
- "image/png": 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",
- "text/plain": [
- "<PIL.Image.Image image mode=RGBA size=480x480>"
- ]
- },
- "metadata": {},
- "output_type": "display_data"
- },
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "The shield for shield_value = 0.999\n"
- ]
- },
- {
- "data": {
- "image/png": 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",
- "text/plain": [
- "<PIL.Image.Image image mode=RGBA size=480x480>"
- ]
- },
- "metadata": {},
- "output_type": "display_data"
- },
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "The shield for shield_value = 1.0\n",
- "Training with shield:\n"
- ]
- },
- {
- "data": {
- "image/png": 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iDgmv9pFvJfWGVks5TnrZg4aBnPSADi/RuNBBx3euOrG5GHs8nZeoyL/2U1JvZz+2k/jwX3L5a2sGfyFwfgIS4eNL/fmd7dhDh8TsOGrC/ZcfN41eNSmRtJ8XYi+8ei6spCFJ6qjlhdgLr/Y1n5qPk4YQ6VWHEkn7rYYiRULshVfPhZU0JMn3mtZ6L7xaZz41Hyfiw3/J5S+uC8xD4LwE5iLC1QiwWrsaiqSWrLVWTYj14oxHQWRtHK/vkBUPUTIhvhXEWS1qSya8Xa1qtXY1FMg+vGAirKlenCGRtXG8vkNWPETJhFj7qEVjyYS3q1VNfPgvufxZPWEKgW0RmIMIVyPABj0lxCakXnjNxjpexUJsNn3Caz5smhJCE1IvvGbzzltnh8+YTZ/wmg+bEv+sEBtL+Ac2iW9V71P5s3rAFALbIFC7CFcnwAbdC7Fe0uGf29q+No2F+MGTzc+RzaZr6oVQL0nQhW5Tii+EP4XWr1rT8pOTiL8uxPBfVvnLqTPYQCBFoGYRzpSHVDZ3s86EeIx3CXGfWA/1Z0I4dH/tJyHuE+uh/ojfCvFQXvDfr/I35ryzLwS6CNQqwtUMQ+oCx3oIQAACEIDAeQlIhGtLCHBtZ4TjgQAEIACBnRCoTYQR4J2cZpxCAAIQgECNBGoSYQS4xhLCMUEAAhCAwM4I1CLCbxwcHPyxs1wOcHz/yuGAvXa4S+HwO8wZriHQS+C7o8u9++x6hy9u3951CPxDIEng719/3ZQsf9X3gk5SYyUEILA1An95+XJrvsY6Cg2A5vCw3H/BxF8u/8cqrJfL/gPKLeixVwz2hwAEIACBWRNYiW8FOUCAKzgJHAIEIAABCExDoBbxVW4R4GnOOVEgAAEIQKAwgZrEVygQ4MIFgvAQgAAEILB7ArWJr3KMAO/+vBMBAhCAAAQKEqhRfIUDAS5YKAgNAQhAAAK7JVCr+CrX1Qjws3+Hb/4+G3citH+OjWL5dPRb+Obvf/zazcvaP8dGsXwifh5L+PuStHlZvFLlb7MVWyEwTwI1i6+IVjMO+PNvmkbf8O365m98+uPv/mr9WJtP/to0//g09tg0T4Mo67uzXd+cjffWRUz7vz5q1461ef/tprl+KfZIfPiXLX/rpZElCMyfQO3iK8LVCPBnt5rm2S9N8/h503z0VVpUvfBe+XNbSMbYSKwVyyd9u/fo91ZUn/yYFmIvvBfebL1IiIfaSKwVyyfiw79k+fPlkWUIzJnAHMRXfKsRYH2/99FBe0v5zjfrQnwnCObdR+06HbSEVyKq9Uradu94u4m3t+lrJev7vTfCS1FikTVRlTi+eH3a4pXwfhDWfXixjf/i16b54Xh7l01fK5n48C9Z/tqSzF8IzJ/AXMRXpKsRYDvtKSH+9EG71Quv2UhsTXBNiM2mT3jNh01TQvjtz+1WL7xmIyHWLxZis+kTXvNhU+KfFWJjCf/1f/yszGyz/JlPphCYI4E5ia/4VifAdtJjIZao3gwtZGvx2j5+Ggvx42dtK1l+clIshGr9rm4dB5HdlOILoW5Lq+UsPzmJ+KdCDP/py19OmcUGAiUJzE18xapaAbYTKQEdK6IroT6+PW1+cqcSwusjRVRCvK1EfPiXLH/bKsf4gcAuCcxRfMWjmmFIdx42zdW77fPcISdKHbJuHba/oUOR9KxYMRTLp6evmuafL9rbyH5balnPip+8bH+aH5J0i1oxFMsn4sO/ZPnz5ZFlCMyFwFzFV3yragE/D72gNRzpXhDKuJNVXBB8T2hts45Xdz9Ot5atk5b8b0rqhfp9GF6kDlVxJ6vYJu6kZeut49W1d9O3nO3ZsPxvSsSHf8nyt6lssg0CNRKYs/iKZzUCfPdvTfPJjdA6DQKsYUVeiL3wWucqZcJsvBB74TWb1C3ta+81zaW3T8f3+guhF17rXKX4NibYC7EXXrPRbWWfiA//kuXPl0eWITAHAjfDQc5ZhKsRYJ1sCaMfiiQh1s9SSkS9jYQ4TimbeLvNSxj9UBAJsX6WUiLqbSTEcUrZxNttnvjw92VpyvJn5ZApBOZEYM4iXJUA20lPCXGfiObYWDw/TQlhn4jm2Pi4tpzjK8fG4vlpjq8cGx/XlnN85dhYPD/N8ZVj4+Paco6vHBuLxxQCcycwVxGuUoCtMJio2vKQaY5Nl1+7qHVtT63PsUn50bocXzk2xE8TyGGZY5OOXv78dx0X6yFQI4E5inA1vaBXz3gfhtdRRrd7+06ynvHqNzTJt3pAp3pNr57xvhr3ono949VvaNJL8NXbOdVrmvgtmzEfCoD/9srf0DLMfhComYBEeE6pmhbwvSCk+hjDvcehB3SgqF7QV0Ov4lTynatkq/27XtQh4dU+8q2k3tBqKcdJL3vQxxhOekCHl2hc6KDjO1ed2FyMPZ7OS1TkX/spqbezH9tJfPiXLH9tyeQvBOZPQCJ8fKmvPjMdEjP9cX/5cfuOZ4mk/bwQe+HVc2GlVK9prffCq3XmU/Nx0hAivepQImm/1VCkSIi98Oq5sJLeeuV7TWu9F16tM5+ajxPx4V+y/MVlkXkIzJ3AXES4GgFWa1dDkdSStdaqCbE+H/joedtyVcHwHbLiIUrqMS37W0Gc1aK2ZMLb1apWa1dDgezDCybCmurzgRJZG8frO2TFQ5RMiLWPWjSWTHi7WtXEh3/J8mfllCkE9oXAHES4GgG2k54SYhNSL7xmYx2vYiE2mz7hNR82TQmhCakXXrN5562zw2fMpk94zYdNiX9WiI0l/AObxMtetln+rBwyhcA+EKhdhKsTYDvpXoj1kg7/3Nb2tWksxA+ebH6ObDZdUy+EekmCLnSbUnwh/Cm0ftWalp+cRPx1IYb/tOUvp8xiA4EaCdQswpnyMB1mE+IxESXEfWI91J8J4dD9tZ+EuE+sh/ojfivEQ3nBf7vlbwx39oVArQRqFeFqhiHVeuI4LghAAAIQmD8BiXBtCQGu7YxwPBCAAAQgsBMCtYkwAryT04xTCEAAAhCokUBNIowA11hCOCYIQAACENgZgVpE+I2Dg4M/dpbLAY7vXzkcsNcOdykcfoc5w/UMCHx3dLn4UX5x+3bxY+AAIFCCwN+//ropWf6r7wVd4qQQEwJTEvjLy5dThluLFf4Bbw4Py/0XSnz4lyp/j1UTLpf9B5hb0GuXIxYgAAEIQGDfCazEt4JMIsAVnAQOAQIQgAAEpiFQi/gqtwjwNOecKBCAAAQgUJhATeIrFAhw4QJBeAhAAAIQ2D2B2sRXOUaAd3/eiQABCEAAAgUJ1Ci+woEAFywUhIYABCAAgd0SqFV8letqBPjZv8M3f5+NOxHaP8dGsXw6+i188/c/fu3mZe2fY6NYPhE/j+W+8PflgWUIQOD8BGoWX+WumnHAn3/TNPqGb9c3f+NTEX/3V+vH2nzy16b5x6exx6Z5GkRZ353t+uZsvLcu+tr/9VG7dqzN+283zfVLsUfiL53/emlgCQIQOC+B2sVX+atGgD+71TTPfmmax8+b5qOv0qLqhffKn9tTNMZGYq1YPunbvUe/t6L65Me0EHvhvfBm60VCPNRGYq1YPhF/2fx9eWAZAhDIJzAH8VXuqhFgfb/30UF7S/nON+tCfCcI5t1H7TodtIRXIqr1Stp273i7ibe36Wsl6/u9N8JLUWKRNVGVOL54fdrilfB+ENZ9eLGN/+LXpvnheHuXTV8rmfjL5t+WJP5CAALnJTAX8VU+qxFgg54S4k8ftFu98JqNxNYE14TYbPqE13zYNCWE3/7cbvXCazYSYv1iITabPuE1HzYl/lkhNpZL4G/lgCkEIDCewJzEV7mrToANeSzEEtWboYVsLV7bx09jIX78rG0ly09OioVQrd/VreMgsptSLMS6La2Ws/zkJOKfCvES+eeUGWwgsGQCcxNfnatqBdgKkgR0rIiuhPr49rT5yZ1KCK+PFFG7NZ0bM7Yj/rL5x2WBeQhAIE1gjuKrnFQzDOnOw6a5erd9nptGvL5WHbJuHba/oUOR9KxYMRTLp6evmuafL9rbyH5balnPip+8bH+aH5J0i1oxFMsn4i+bvy8PLEMAAsMIzFV8lbuqWsDPQy9oDUe6F4Qy7mQVnwbfE1rbrOPV3Y/TrWXrpCX/m5J6QX8fhhepQ1XcySq2iTtp2XrreHXt3fQtZ3s2LP+bEvGXzX9T2WAbBCBwlsCcxVe5qUaA7/6taT65EVqnQYA1rMgLsRde61ylTJiNF2IvvGaTuqV97b2mufT26fheL8ReeK1zleLbmGAvxF54zUa3lX0i/rL5+/LAMgQg0E/gZthlziJcjQALtYTRD0WSEOtnKSWi3kZCHKeUTbzd5iWMfiiShFg/SykR9TYS4jilbOLtNk/8ZfO3csAUAhAYTmDOIlyVABvylBD3iWiOjcXz05QQ9olojo2Pa8s5vnJsLJ6f5vjKsfFxbTnHV46NxfPTHF85Nj4uyxCAQB6BuYpwlQJsp8BE1ZaHTHNsuvzaRbVre2p9jk3Kj9bl+MqxIX6aQA7LHJt0dNZCAAJjCMxRhKvpBb16xvswvI4yut3bB1/PePUbmuRbPaBTvaZXz3hfhdch/jbUW9tjWs95hyb5Vm/nVK9p4rdslsp/aBliPwhAoJuARHhOqZoW8L0gpPoYw73HoQd0oKhe0FdDr+JU8p2rZKv9u17UIeHVPvKtpN7QainHSS970McYTnpAh5doXOig4ztXndhcjD2ezktU5F/7Kam3sx9bTPxl829LBn8hAIHzEpAIH1/qz+tq5/YdErPzuGcCfPlx+45niaT9vBB74dVzYaVUr2mt98KrdeZT83HSECK96lAiab/VUKRIiL3w6rmwkt565XtNa70XXq0zn5qPE/GXzT8uC8xDAALnIzAXEa5GgNXa1VAktWSttWpCrM8HPnretlx1WnyHrHiIknpMy/5WEGe1qC2Z8Ha1qtXa1VAg+/CCibCm+nygRNbG8foOWfEQJRNi7aMWtSUT3q5WNfGXzd/KCVMIQGA7BOYgwtUIsCFPCbEJqRdes7GOV7EQm02f8JoPm6aE0ITUC6/ZvPPW2eEzZtMnvObDpsQ/K8TGcgn8rRwwhQAEzk+gdhGuToANuRdivaTDP7e1fW0aC/GDJ5ufI5tN19QLoV7SIaHdlGIh/im0ftWalp+cRPx1IV4a/5wygw0EIHCWQM0inCkPZzO5qzUmxGP8S4j7xHqoPxPCoftrPwlxn1gP9Uf8VoiH8to3/mPyzb4QgECaQK0iXM0wpDQ21kIAAhCAAATOT0AiXFtCgGs7IxwPBCAAAQjshEBtIowA7+Q04xQCEIAABGokUJMII8A1lhCOCQIQgAAEdkagFhF+4+Dg4I+d5XKA4/tXDgfstcNdCoffYc5wPYDAd0eXB+y1212+uH17twHwDoFKCdx/WPYCrPpfsv5V3wu60nLDYe0Rgb+8fFksN+Ef4ObwsNxFiPjwL1n+7l8pVvWqCMwt6CpOAwcBAQhAAAJLI4AAL+2Mk18IQAACEKiCAAJcxWngICAAAQhAYGkEEOClnXHyCwEIQAACVRBAgKs4DRwEBCAAAQgsjQACvLQzTn4hAAEIQKAKAtUI8LN/h2/+PhvHRPvn2CiWT0e/hW/+/sev3bys/XNsFMsn4uex3BZ/fz5YhgAEpiNQ+vo3XU7XI1UzDvjzb5pG3/Dt+uZvfNjxd3+1fqzNJ39tmn98GntsmqdBlPXd2a5vzsZ766Kv/V8ftWvH2rz/dtNcvxR7JH5p/utngyUIQGBKAkut/9UI8Ge3mubZL03z+HnTfPRVWlS98F75c1tExthIrBXLJ3279+j3VlSf/JgWYi+8F95svUiIh9pIrBXLJ+KX5e/PB8sQgMB0BEpf/6bL6XqkagRY3+99dNDeUr7zzboQ3wmCefdRu06HL+GViGq9krbdO95u4u1t+lrJ+n7vjfBWwlhkTVRVOF68Pm3xSng/COs+vNjGf/Fr0/xwvL3Lpq+VTPyy/NszyV8IQKAEgdLXvxJ5VsxqBNgApIT40wftVi+8ZiOxNcE1ITabPuE1HzZNFYRvf263euE1GwmxfrEQm02f8JoPmxL/rBAbyyn423lgCgEITE+g9PVv6hxXJ8AGIBZiierN0EK2Fq/t46exED9+1raS5ScnxQVBrd/VreMgsptSLMS6La2Ws/zkJOKfCnEJ/jnnDBsIQGA7BEpf/7aTi34v1QqwHboEdKyIroT6+Pa0+cmdqiBcHymidms6N2ZsR/yy/ONzwTwEIDAtgdLXv13ntpphSHceNs3Vu+3z3CGZVoesW4ftb+hQJD0rVgzF8unpq6b554v2NrLfllrWs+InL9uf5ock3aJWDMXyifhl+fvzwTIEIDAdgdLXv+lyuh6pqhbw89ALWsOR7gWhjDtZxYfse0Jrm3W8uvtxurVsnbTkf1NSL+jvw/AidaiKO1nFNnEnLVtvHa+uvZu+5WzPhuV/UyJ+Wf6bzg3bIACB3RIoff3bbe7S3qsR4Lt/a5pPboTWaRBgDSvyQuyF1zpXKVtm44XYC6/ZpG5pX3uvaS69fTq+1wuxF17rXKX4NibYC7EXXrPRbRWfiF+Wvz8fLEMAAtMRKH39my6n65GqEWAdloTRD0WSEOtnKSWi3kZCHKeUTbzd5iWMfiiShFg/SykR9TYS4jilbOLtNk/8svztPDCFAASmJ1D6+jd9jischiQIKSHuE9Ecmy7gqYLQJ6I5NsRPE8hhmWOTjs5aCECgJIGcupxjUzKPFruqFrAdlE1NVG15yDTHpsuvndSu7an1OTYpP1qX4yvHhvhdBFgPAQiUIpBzLcuxKZU/xa2mF/TqGW/onZz6UEIXID3j1W9okm/1gE71ml49430VXof421BvbY9pPecdmuRbvf1SvaaJ37IpxX/oOWQ/CEBg+wRKX/+2n6NhHqtpAd8LQqqPMdx7HHpA32x7QV8NvYpTyXeukm1Xr2nZS3i1j3wrqTe0Wspx0sse9DGGkx7Q4SUaFzro+M5VJzYXY4+n8xIV+dd+Surt58cWE78s//bM8BcCEChBoPT1r0SeFbNDYqY/nC8/bt/xLJG0nxdiL7x6LqyU6jWt9V54tc58aj5OGkKkVx1KJO23GooUCbEXXj0XVtJbr3yvaa33wqt15lPzcSJ+Wf7xuWAeAhCYlkDp69+0uT2NVo0Aq7WroUhqyVpr1YRYnw989LxtuerQfYeseIiSekzL/lYQZ7WoLZnwdrWq1dpVV3j78IKJsKb6fKBE1sbx+g5Zq9snoZUdC7H2UYvakglvV6ua+GX523liCgEITE+g9PVv+hy3EasRYAOQEmITUi+8ZmMdr2IhNps+4TUfNk0VBBNSL7xm885bZ4fPmE2f8JoPmxL/rBAbyyn423lgCgEITE+g9PVv6hxXJ8AGwAuxXtLhn9vavjaNhfjBk83Pkc2ma+oLgl7SIaHdlGIh/im0ftWalp+cRPx1IZ6af845wwYCENgOgdLXv+3kot9Lpjz0O97WHibEY/xJiPvEeqg/KwhD99d+EuI+sR7qj/itEA/ltW3+Y+KyLwQgsF0Cpa9/283NWW/VDEM6e2isgQAEIAABCOwvAQR4f88tOYMABCAAgYoJIMAVnxwODQIQgAAE9pcAAry/55acQQACEIBAxQTeODg4+KPk8d2/clgyfNMUDl828+Wjf3d0ufhBfHH7dvFj4AAgUILA/YfLvgDq+lOy/lffC7pEoSTmtAT+8vLltAGjaOEf0ObwsNxFiPjwL1n+7l+JKgOzkxPgFvTkyAkIAQhAAAIQqOhrSJwMCEAAAhCAwJII0AJe0tkmrxCAAAQgUA0BBLiaU8GBQAACEIDAkgggwEs62+QVAhCAAASqIYAAV3MqOBAIQAACEFgSgWoE+Fn4nq4+Jzgmaf8cG8Xy6ei38D3f//i1m5e1f46NYvm09PieB8sQgMB0BLj+TMc6jlTNOODPv2kafcO365u/8UHH3/3V+rE2n/y1af7xaeyxaZ4GUdZ3Z7u+ORvvLdHV/q+P2rVjbd5/u2muX4o9En+dBksQgMCUBJZ+/ZuSdRyrGgH+7FbTPPulaR4/b5qPvkqLqhfeK39uszLGRmKtWD7p271Hv7ei+uTHtBB74b3wZutFQjzURmKtWD4tPb7nwTIEIDAdAa4/07GOI1UjwPp+76OD9pbynW/WhfhOEMy7j9p1OngJr0RU65W07d7xdhNvb9PXStb3e2+EtyLGImuiqsL54vVpi1fC+0FY9+HFNv6LX5vmh+PtXTZ9reSlx29J8hcCEChBgOtPCepNU40AW/ZTQvzpg3arF16zkdia4JoQm02f8JoPm6YK4rc/t1u98JqNhFi/WIjNpk94zYdNlx7fODCFAASmJ8D1Z1rm1QmwZT8WYonqzdBCthav7eOnsRA/fta2kuUnJ8UFUa3f1a3jILKbUizEui2tlrP85KSlx89hhg0EILAdAlx/tsOxz0u1AmwHLgEdK6IroT6+PW1+cqcqiNdHiqjdms6NGdstPX7MgnkIQGBaAlx/dsu7mmFIdx42zdW77fPcIVlWh6xbh+1v6FAkPStWDMXy6emrpvnni/Y2st+WWtaz4icv25/mhyTdolYMxfJp6fE9D5YhAIHpCHD9mY51HKmqFvDz0Ataw5HuBaGMO1nFB+x7Qmubdby6+3G6tWydtOR/U1Iv6O/D8CJ1qIo7WcU2cSctW28dr669m77lbM+G5X9TWnr8TWzYBgEI7JYA15/d8k15r0aA7/6taT65EVqnQYA1rMgLsRde61ylTJmNF2IvvGaTuqV97b2mufT26fheL8ReeK1zleLbmGAvxF54zUa3dXxaenzPg2UIQGA6Alx/pmMdR6pGgHVQEkY/FElCrJ+llIh6GwlxnFI28XablzD6oUgSYv0spUTU20iI45Syibfb/NLjGwemEIDA9AS4/kzPvCoBtuynhLhPRHNsLJ6fpgpin4jm2Pi4tpzjK8fG4vlpjq8cGx+XZQhAoDyBnLqcY9OV0xxfOTZd8adcX6UAGwATVVseMs2x6fJrJ7Vre2p9jk3Kj9bl+MqxqTV+13GxHgIQ2D2BnGtJjk1XTnJ85dh0xZ9ifTW9oFfPeEPv5NSHErpA6BmvfkOTfKsHdKrX9OoZ76vwOsrfhnpre0zrOe/QJN/qbZjqNb30+EMZsh8EILB9Alx/ts90iMdqWsD3gpDqYwz3Hoce0DfbXtBXQ6/iVPKdq2Tb1Wta9hJe7SPfSuoNrZZynPSyDX2M4aQHdHiJxoUOOr5z1YnNxdjj6byEV/61n5J6G/qxxUuP35LhLwQgUIIA158S1Ct6FeWXH7fveJZI2s8LsRdePRdWSvWa1novvFpnPjUfJw0h0qsmJZL2Ww1FioTYC6+eCyvprVe+17TWe+HVOvOp+TgtPX7MgnkIQGBaAlx/puVt0TraeLZ5uqlauxqKpJastVZNiPX5wEfP25arjsh3yIqHKKnHtOxvBXFWi9qSCW9Xq1qtXXXFtw8vmAhrqs8HSmRtHK/vkLW6fRNa2bEQax+1qC2Z8Ha1qpce3zgxhQAEpifA9Wd65opYjQBb9lNCbELqhddsrONVLMRm0ye85sOmqYJoQuqF12zeeevs8CWz6RNe82HTpcc3DkwhAIHpCXD9mZZ5dQJs2fdCrJd0+Oe2tq9NYyF+8GTzc2Sz6Zr6gqiXdEhoN6VYiH8KrV+1puUnJy09fg4zbCAAge0Q4PqzHY59XjLloc/t9rabEI/xKCHuE+uh/qwgDt1f+0mI+8R6qL+lxx/Kif0gAIHtE+D6s32mscdqhiHFB8U8BCAAAQhAYN8JIMD7fobJHwQgAAEIVEkAAa7ytHBQEIAABCCw7wQQ4H0/w+QPAhCAAASqJPDGwcHBHyWP7P6Vw5Lhm6Zw+LKZb5rvji6XPoTmi9u3ix8DBwCBEgTuP1z4BagE9Cimrn8lrz/V94KOWDG7IwJ/eflyR5773YZ/AJvDw3IXIeLDv2T5u3+lv46wx/4S4Bb0/p5bcgYBCEAAAhUTQIArPjkcGgQgAAEI7C8BBHh/zy05gwAEIACBigkgwBWfHA4NAhCAAAT2lwACvL/nlpxBAAIQgEDFBBDgik8OhwYBCEAAAvtLoBoBfha+p6vPCY5J2j/HRrF8OvotfM/3P37t5mXtn2OjWD6Vju+Ph2UIQGA6AqXr/9LjT3em1yNVMw7482+aRt/w7frmb3zY8Xd/tX6szSd/bZp/fBp7bJqnQZT1Dd+ub/7Ge0t0tf/ro3btWJv3326a65dij+Xjrx8NSxCAwJQEln79KZ3/Kc91HKsaAf7sVtM8+6VpHj9vmo++SouqF94rf26zMsZGYq1YPunbvUe/t6L65Me0EHvhvfBm60VCPNRGYq1YPpWO74+HZQhAYDoCpev/0uNPd6bXI1UjwPp+76OD9pbynW/WhfhOEMy7j9p1OnwJr0RU65W07d7xdhNvb9PXStb3e2+EtzLGImuiqsL54vVpi1fC+0FY9+HFNv6LX5vmh+PtXTZ9reTS8duc8BcCEChBoHT9X3r8EudcMasRYAOQEuJPH7RbvfCajcTWBPfesRCbTZ/wmg+bpgritz+3W73wmo2EWL9YiM2mT3jNh01Lx7fjYAoBCExPoHT9X3r8qc94dQJsAGIhvhdE9WZoIVuL1/bx01iIHz9rW8nyk5PigqjW7+rWcRDZTSkWYt2WVstZfnJS6fg5x4wNBCCwHQKl6//S42/nLPZ7qVaA7dAloGNFdCXUx7enzU/uVAXx+kgRtVvTuTFju9Lx42NhHgIQmJZA6fq/9Pi7PtvVDEO687Bprt5tn+cOybQ6ZN06bH9DhyLpWbFiKJZPT181zT9ftLeR/bbUsp4VP3nZ/jQ/JOkWtWIolk+l4/vjYRkCEJiOQOn6v/T4053p9UhVtYCfh17QGo50Lwhl3MkqPmTfE1rbrOPV3Y/TrWXrpCX/m5J6QX8fhhepQ1XcySq2iTtp2XrreHXt3fQtZ3s2LP+bUun4m46NbRCAwG4JlK7/S4+/27Ob9l6NAN/9W9N8ciO0ToMAa1iRF2IvvNa5StkyGy/EXnjNJnVL+9p7TXPp7dPxvV6IvfBa5yrFtzHBXoi98JqNbuv4VDq+Px6WIQCB6QiUrv9Ljz/dmV6PVI0A67AkjH4okoRYP0spEfU2EuI4pWzi7TYvYfRDkSTE+llKiai3kRDHKWUTb7f50vHtOJhCAALTEyhd/5cef/ozXuEwJEFICXGfiObYdAFPFcQ+Ec2xqTV+13GxHgIQ2D2BnGtJjk1XTnJ85djUGr/ruHaxvqoWsM+giapfv2k5x6bLnxWqru2p9Tk2KT9al+Mrx6YrPushAIFyBHLqco5NVw5zfOXY1Bq/67i2ub6aXtCrZ7yhd3LqQwldGdYzXv2GJvlWD+hUr+nVM95X4XWUvw311vaY1nPeoUm+1dsw1Wu6dPyheWA/CEBg+wRK1/+lx9/+GR3msZoW8L0gpPoYw73HoQf0zbYX9NXQqziVfOcq2Xb1mpa9hFf7yLeSekOrpRwnvWxDH2M46QEdXqJxoYOO71x1YnMx9ng6L+GVf+2npN6Gfmxx6fjtkfEXAhAoQaB0/V96/BLnXDE7JGb6w/ny4/YdzxJJ+3kh9sKr58JKqV7TWu+FV+vMp+bjpCFEetWkRNJ+q6FIkRB74dVzYSW99cr3mtZ6L7xaZz41H6fS8eNjYR4CEJiWQOn6v/T4057t02jVCLBauxqKpJastVZNiPX5wEfP25arDt13yIqHKKnHtOxvBXFWi9qSCW9Xq1qtXXXFtw8vmAhrqs8HSmTVclXyHbJWt29CKzsWYu2jFrUlE96uVnXp+HacTCEAgekJlK7/S48//RlvI1YjwAYgJcQmpF54zcY6XsVCbDZ9wms+bJoqiCakXnjN5p23zg5fMps+4TUfNi0d346DKQQgMD2B0vV/6fGnPuPVCbAB8EKsl3T457a2r01jIX7wZPNzZLPpmvqCqJd0SGg3pViIfwqtX7Wm5ScnlY6fc8zYQAAC2yFQuv4vPf52zmK/l0x56He8rT1MiMf4kxD3ifVQf1YQh+6v/STEfWI91F/p+EOPk/0gAIHtEyhd/5cef/tndN1jNcOQ1g+LJQhAAAIQgMB+E0CA9/v8kjsIQAACEKiUAAJc6YnhsCAAAQhAYL8JIMD7fX7JHQQgAAEIVErgjYODgz9KHtv9K4clwzdN4fDfHV0um/8Q/Yvbt4sfAwcAgRIE7j8sfAEokWlinhDQ9bfk9a/6XtAnpPZ45i8vXxbLXfgHrDk8LHcRIj78S5a/+1eKVT0CQ6DhFjSFAAIQgAAEIFCAAAJcADohIQABCEAAAggwZQACEIAABCBQgAACXAA6ISEAAQhAAAIIMGUAAhCAAAQgUIAAAlwAOiEhAAEIQAAC1Qjws/A9XX1OcEzS/jk2iuXT0W/he77/8Ws3L2v/HBvFIkEAAvUQKF3/iZ93LZ379beaccCff9M0+oZv1zd/46oaf/dX68fafPLXpvnHp7HHpnkaRFnf8O365m+8t0669n991K4da/P+201z/VLskXkIQKAkgdL1n/jLvP5WI8Cf3WqaZ780zePnTfPRV2lR9cJ75c9tlR1jI7FWLJ/07d6j31tRffJjWoi98F54s/UiIR5qI7FWLBIEIFAPgdL1n/jLvP5WI8D6fu+jg/aW8p1v1oX4ThDMu4/adaqyEl6JqNYradu94+0m3t6mr5Ws7/feCG+FjEXWRFWV48Xr0xavhPeDsO7Di238F782zQ/H27tshrSSW2/8hQAEpiZQuv4Tf5nX32oE2CpcSog/fdBu9cJrNhJbE1wTYrPpE17zYdNURfj253arF16zkRDrFwux2SC8RokpBOonULr+E/+sENu1dB+vv9UJsFXRWIglqjdDC9lavLaPn8ZC/PhZ20qWn5wUVwS1fle3joPIbkqxEOu2tFrO8kOCAATmRaB0/Sf+qRDv8/W3WgG26ioBHSuiK6E+vj1tfnKnqgjXR4qo3ZrOjYkdBCBQB4HS9Z/4+339rWYY0p2HTXP1bvs8d0jVU4esW4ftb+hQJD0rVgzF8unpq6b554v2NrLfllrWs+InL9uf5ock3aJWDMUiQQAC9RAoXf+Jv8zrb1Ut4OehF7SGI90LQhl3soqrqe8JrW3W8erux+nWsnXSkv9NSb2gvw/Di9ShKu5kFdvEnbRsvXW8uvZu+pazPRuWfxIEIFAngdL1n/jLu/5WI8B3/9Y0n9wIrdMgwBpW5IXYC691rlJVNhsvxF54zSZ1S/vae01z6e3T8b1eiL3wWucqxbcxwV6IvfCajW4rkSAAgXoIlK7/xF/m9bcaAVZVlDD6oUgSYv0spUTU20iI45SyibfbvITRD0WSEOtnKSWi3kZCHKeUTbydeQhAoDyB0vWf+Mu7/lYlwFYFU0LcJ6I5NhbPT1MVoU9Ec2x8XJYhAIHyBHLqco5NV05zfOXYEL+LwHTrqxRgy76Jqi0PmebYdPm1Qt21PbU+xyblh3UQgEBZAjl1OcemK5c5vnJsiN9FYPfrq+kFvXrGG3onpz6U0IVBz3j1G5rkWz2gU72mV894X4XXof021FvbY1rPeYcm+VZvx6G9pof6ZT8IQOB8BErXf+K318alXX+raQHfC0KqjzHcexx6QN9se0FfDb2KU8l3rpJtV69p2Ut4tY98K6k3tFrKcdJgb32M4aQHdHiJxoUOOr5z1YnNxdjj6bwKlfxrPyX1dhw7tri15C8EILALAqXrP/GXef3tkJhdFPHNPr/8uH3Hs0TSfl6IvfDqubBSqte01nvh1Trzqfk4aQiRXnUmkbTfaihSJMReePVcWElvvfK9prXeC6/WmU/NkyAAgToIlK7/xF/m9bcaAVZrV0OR1JK11qoJsT4f+Oh523JVdfUdsuIhSuoxLftbQZzVorZkwtvVqlZrV0MB7MMLJsKa6vOBElkbx+s7ZK1uH4VWdizE2kctaksmvF2tatuPKQQgMD2B0vWf+Mu8/lYjwFblUkJsQuqF12ys41UsxGbTJ7zmw6apimBC6oXXbN5562z3ebNBeI0SUwjUT6B0/Sf+WSG2a+k+Xn+rE2Crol6I9ZIO/9zW9rVpLMQPnmx+jmw2XVNfEfSSDgntphQL8U+h9avWtPyQIACBeREoXf+Jvy7E+3r9rV4eTIjHVF8JcZ9YD/VnFWHo/tpPQtwn1mP8sS8EIFCGQOn6T/xWiMec/Tldf6sZhjQGMPtCAAIQgAAE5k4AAZ77GeT4IQABCEBglgQQ4FmeNg4aAhCAAATmTgABnvsZ5PghAAEIQGCWBN44ODj4o+SR3394WDJ8893R5aLxFfyL27eLHwMHAIESBErX/xJ5JmY9BHT9L3n9rb4X9K5PleAfHpb7JyD8A0R8+O+6mHf6L13+7ocX5pAgsFQCy74FfbDU006+IQABCECgNIHlCjDiW7rsER8CEIDAogksU4D3RHx19447eIuuv2QeAhCYMYHlCfCeiK/K3GfHvxmXPw4dAhCAwGIJLEuA90h8VWI/Of4ttvSScQhAAAIzJrAcAd4z8VXrN7zyevXTPAkCEIAABOZFoBoB1sfr9V3dMUn7D7KJxFefLHwWvt0796TWr6V43tYxhcCcCOy0/kcgdL1QLJ+IP/BaGoEbfP11NjXyjw5x0tk/TRptQ7CnQRT13ceubz7Gpjrx2v/1Ubt2o82x+MbfCv7kr03zj09jj/OavxkO91Z0yJrXusfROmYhMCcCO6v/xxDia8b7bzfN9UvrdIi/o+vvTPivl4bplqoRYH079+j3VlSf/JgW4rgSCdGFN1tQEuKkTRDfWHi1983QbfizWL1aF7P6m2rxah0CPKvTyMFGBHZS/4N/f83QP+uK5RPxd3D9nRF/Xx6mWq5GgOOP2Vvr1kRVlePF69MWr4T3g7Duw4stphe/Ns0Px9vN5l//s2nuHgZRet7uI+G9+/H2vhM81QnycUI2mjt+5fG6e2F6nN3EHqyCQL0Etl3//TVj412ygIX4TXMjvJU3/ofFrqWe5ZDrr7epnX+pmvGnUoG74qYqwrc/t3v7E28+JMT6mRD/D92aftBu3RfhtbymWr/xNokwCQJzJbCN+q87YnbN6Lvwe07EPyvExnLo9XfO/H152PVydQJsGY4rglq/q1tHxy1e28dPV0IcugR/+Si0fJ+1t5pvXfV7zXs5ZK8zaRsC3ImHDTMikF3/j/8RlwioFSY/OYn4p0I86vq7J/xzykyOTbUCbJlRRbg+tBIdtFZ39Ix35s95Lf/xVB2tNv0/oW10xoqJMT93AqPq/3Fm7dHUNvJO/BHX3z3kv40ytMlHNQL89FXbCy9+trvpwO1Zhfa59m74T/f/27R3u+1uaBnfCz/1gr77t/79a9sj9ezXH6P2mXEHb58dlhdC4Nz1f8A/6faISr2gr723Dpb457z+zpz/emmYbqkaAVaW1Qv6+zC8SB2quoTYhFe3mCxdDL2mb4YOV12drEx4n/9iFvObqvPVpue/liPto32f2wqmEJgJgdz6b52FVv+IJ4TAhFf+NyXi511/94X/prKxq23VCLD+I70U/jO1HtBeiL3wWueK/xO+ZX/zm7a380dftcOMTIi98M65Q9amZ7++cGjfz/1KliFQMYHc+q8s2TXDC4EXXrtm6LayT8TPu/6K4z7w9+VhquVqBFgZVsXwXeElxPpZWqtEB+2j3kdhGo/3lRDHac7Ca/kY0vqN90WAjQbTuRAYXf+PM+avGRLiOK1dM+INbp74I6+/x/z2hb8rDpMsViXAluNURThTiYLoxkm9nb0Q74PwKo8S35C9wUn7yuZ4JNZgO3aEQA0EBtV/d6A5Ns7FyWKOrxybk4BuJsdXjo0Le7KY4yvH5iSgm8nxlWPjwhZZrFKAjYRBteWTqRPfk/VhxoQ4Xjf3+TG3ny2vskGAjQbTORLorP8bMpNj0+Uux1eODfHTBHJY5tiko0+z9r+mCdMfZfWM91X6Relr1pH46hmvfkOTPsJw52F7u3qoTen9NKwoZ0SVbGRLgsAcCAyu/1Fm9IxXv6FJHwFQb2fF8on4LZvUhxI8K1veJ/6Wp6mn1bSANdhbH2M46QH9TnjXsz+6Y/H1navuBRHW+51X438TBCW82ufe43ajekPP5QUdY579+qzL9jjLfhPLEKiKwKD6f3zEvnPVyTXjYjpLEhX5135K6u3s3y1A/AHX3xbfyRsHrVf5PvA/ztrkEy9xkx+ABdQQAr3qTCfTfquhSCbEB21rV0Jqw4n0jFdJ73v+/JtWZGMh9sKrfT8LzcI5fYxB43pzk2zpjJVLD7spCfTW/3AwXnjVL0RJQxL9qAmt98KrdXZN0XyciN9z/Q2w9pl/XBamnK9GgNXa1VAAe4m3ibCmX4YXZzy6uy68NtRIsOIe0CbEt4I4P/jXKUoT3qtB6OeScp79+rzJB6+n9FRYro3ApvqvF2dIZK3F5Ttkrm4fh7tcsRBrH91Rs2TCe+au2vEOxO++/i6Bv5WTqafVCLBl3FeE/xYEuDkW0q5ezdbxKhZiE985Cq+xOM/t59gHAmw0mNZOwNd//QNuQuqF1/JiHW9iITabPuE1HzYl/lkhNpZL4G/lYKppdQJsGV9VhP/d3lrSbedPbvQ/t42F+MGT9lbznFq8lndN1YEqPNY+d5IP+eJZ8LlR4mBCAl4I9ZIeCe2mFAvxT6H1q7tp8pOTiL8uxEvjn1Nmcmwyi2dOqJE2B+3+EtCx722WEM+lk1UXlfM8+/U+5etTv5JlCMyAgAnhmEOVEPeJ9VB/xG+FeCgv7bdP/MfkO2ffOgX4WHxzMrQvNgjmvpxJ8gEBCEAgTeC/0qsLrkV8C8InNAQgAAEITEWgLgFGfKc678SBAAQgAIHCBOoRYMS3cFEgPAQgAAEITEngjYODgz+mDOhj/f3rr5svbodvCpIgAIHJCdx/eDh5TAJCoBYC3x1dLqo/f6oBxMHhYbH3Fod/QJrDEL9UIj78S5a/++GFNSQIQKAMgWpuQTNOtUwBICoEIAABCJQhUI0AK/uIcJlCQFQIQAACEJieQFUCrOwjwtMXAiJCAAIQgMD0BKoTYCFAhKcvCESEAAQgAIFpCVQpwEKACE9bEIgGAQhAAALTEqhWgIUBEZ62MBANAhCAAASmI1C1AAsDIjxdYSDScgno4/X6nN+YpP1zbBTLJ+LnsYS/L0mbl8UrVf42W+1uaxXjgPuyJxG+2bcT2yEAgWwCT8MH7fXd165vvsaOdRHT/q+P2rVjbfSB9+uXYo+tP+LDf2xZUikaa5Mqf+ulcbqlWQiwcCDC0xUKIi2PgL6de/R7K6pPfkxf1LzwXniz5SQhHmqji6Vi+UR8+Jcsf748TrU8GwEWEER4qmJBnKURiD9mb61bE1WJ44vXpy1eCe8HYd2HF1tKL35tmh+Ot3fZ9LVSiN80Ny63t6Hhv/6P4BTlr1R9n5UACxIiXKqoEHcJBFJC+O3Pbc698BoPCbF+sRCbTZ/wmg+bEv+sEBtL+K//42dlZpvlz3xONZ2dAAsMIjxV8SDOUgnEQqjW7+rW8XGLt4tJfCHUbWm1XOQnJxH/VIjhP335yymzOTazFGBlFBHOOd3YQGAcAQnh9ZEiKiHeViI+/EuWv22V4y4/sxVgZQgR7jqtrIfAOAJPX7W9oONnu5s8WIcs7XPt3WEtXbtFrV6o195b9058+KsXfKnyt14ap1uatQALEyI8XWEh0n4TUC/U78PwInWo6roQmvDaECQRsY5XXUJswiv/mxLx4V+y/G0qm7vaNnsBvrkrMviFwIIIqEV6KbRMrQeuvxB64bXOVUJkNl6IvfCaTeq5MPHhX7L8larqsxZgxLdUsSHuPhKIOz6ZqEqI9bOUEtHU8BnbX9OUTbzd5ol/2vEK/u1QpCnLn5XDKaezFWDEd8piQqwlEUgJYZ+I5th0Mc3xlWND/DSBHJY5NunobX8C/0/dlOWv67h2sX6WAoz47qIo4BMC6wTsorq+dvNSjk2XxxxfOTbETxPIYZljk45+KsRd21Prtxk/5X/b66r/GIPPMOLribAMgfMTWD3jfTXuRfV6xqvf0KSX4Ku3s2L5RPyWzZgPBcB/e+XPl8eplmfVAkZ8pyoWxFkaAb3sQcNATnpAh5doXOi4OvjOVSc2HeN/JSryr/2U1NvZj+0kPvxLlr+2ZE7/t6OKTX8gfRER3z5CbIdAPgENIdKrDiWS9lsNRYqE2AuvnsspaUiS7zWt9V54tc58aj5OxId/yfIXl8Up52chwIjvlEWCWEskoNauhgLZi+9NhDXVizMksjaO13eIiYcomRBrH7VoLJnwdrWqiQ//kuXPyunU0+oFGPGdukgQb8kEUkJoQuqF1zhZx5dYiM2mT3jNh02Jf1aIjSX8A5vEW9e2Wf6sHE41rVqAEd+pigFxILBOwAuhXpKgC92mFF8IfwqtX7Wm5ScnEX9diOE/bfnLKbM5NpnVIyfUOBvEdxwv9obALgiYEI7xLSHuE+uh/ojfCvFQXtoP/tsrf2O45+xb5TAkxDfnVGIDAQhAAAJzIlCdACO+cyo+HCsEIAABCOQSqEqAEd/c04gdBCAAAQjMjUA1Aoz4zq3ocLwQgAAEIHAeAm8cHBz8cR4H57X9+9dfN1/cvn1eN9hDYJYE7j88nOVxc9AQ2AcC3x1dLqo/VfSCPjg8bEq1gMM/IM1hiF8qEX/Z/O9fKVXyiAsBCJQmUM0t6MelSRAfAhCAAAQgMCGBagRYeUaEJzzzhIIABCAAgaIEqhJgkUCEi5YHgkMAAhCAwEQEqhNg5RsRnujsEwYCEIAABIoRqFKARQMRLlYmCAwBCEAAAhMQqFaAlXdEeIISQAgIQAACEChCoGoBFhFEuEi5IOjEBPTxen3Ob0zS/jk2iuUT8fNYwt+XpM3L4lVj+dt81LvbWsU44L7sSYRv9u3EdgjMmMDTf7cfsO/65mucNV3EtP/ro3btWJv3326a65dij60/fXd2rC95GWtDfPjXVv7Wa8N0S7MQYOFAhKcrFESanoC+nXv0eyuqT35Mi5oX3gtvtscpIR5qI7FULJ+ID/8llz9fH6Zano0ACwgiPFWxIM7UBOKP2Vvr1kRV4vji9WmLV8L7QVj34cX2KF/82jQ/HG/vsulrpRK/aW5cbm9Dw3/9H8EllL+p67vFm5UA66ARYTt1TPeRQEoIv/25zakXXsu/hFi/WIjNpk94zYdNiX9WiI0l/Nf/8bMys0/lz/I01XR2AiwwiPBUxYM4pQjEQqjW7+rW8XGLt+uY4guhbkur5SI/OYn4p0IM/+WVv5w6k2MzSwFWRhHhnNONzdwISAivjxRRCfG2EvHhv+Tyt6161OVntgKsDCHCXaeV9XMj8PRV2ws6fra7KQ/WIUv7XHt3WEvXblGrF/K199a9Ex/+6gW/1PK3XhumW5q1AAsTIjxdYSHSbgmoF+r3YXiROlR1XQhNeG0Iko7IOl51CbEJr/xvSsSH/5LL36a6sattsxfgm7sig18ITEhALdJLoWVqPXD9hdALr3Wu0iGajRdiL7xmk3ouTHz4L7n8TVjV10LNWoAR37VzycLMCcQdn0xUJcT6WUqJaGr4jO2vacom3m7zxD/teAX/dijSksqf1YMpp7MVYMR3ymJCrCkJpISwT0RzbLrylOMrx4b4aQI5LHNs0tHb/gT+n7ollb8uLrtYP0sBRnx3URTwWRsBu6iOOa4cmy7/Ob5ybIifJpDDMscmHf1UiLu2p9bvU/xU/ra9rvqPMfgMI76eCMv7QGD1jPdV+kX1XfnTM179hia9BF+9nRXLJ+K3bFIfCvCsbBn++1P+7JxOPZ1VCxjxnbp4EG8qAnrZg4aBnPSADi/RuNBRO33nqhObjvG/EhX5135K6u3sx3YSH/5LLn9tzZj+b0cVn/5A+iIivn2E2D5nAhpCpFcdSiTttxqKFAmxF149l1PSkCTfa1rrvfBqnfnUfJyID/8ll7+4Lkw5PwsBRnynLBLEKkFArV0NBbIX35sIa6oXZ0hkbRyv7xATD1EyIdY+atFYMuHtalUTH/5LLn9WT6aeVi/AiO/URYJ4JQmkhNCE1AuvHad1fImF2Gz6hNd82JT4Z4XYWMI/sEm8dW2fyp/Vg6mmVQsw4jtVMSBObQS8EOolCbrQbUrxhfCn0PpVa1p+chLx14UY/ssqfzl1Jscms3rmhBpng/iO48Xe+0nAhHBM7iTEfWI91B/xWyEeykv7wX9/yt+Y856zb5XDkBDfnFOJDQQgAAEIzIlAdQKM+M6p+HCsEIAABCCQS6AqAUZ8c08jdhCAAAQgMDcC1Qgw4ju3osPxQgACEIDAeQi8cXBw8Md5HJzX9u9ff918cfv2ed1gD4EsAvcfHmbZYQQBCMyfwHdHl4vqTxW9oA8OD5tSLeDwD0hzGOKXSsQvy//+lVJnnrgQgMDSCVRzC/rx0s8E+YcABCAAgUURqEaARR0RXlTZI7MQgAAEFk2gKgHWmUCEF10eyTwEIACBxRCoToBFHhFeTPkjoxCAAAQWS6BKAdbZQIQXWybJOAQgAIFFEKhWgEUfEV5EGSSTEIAABBZJoGoB1hlBhBdZLifPtD5er8/5jUnaP8dGsXwifh5L+PuStHlZvCh/mxlNubWKccB9GZYI3+zbie0QOAeBp/9uP2Df9c3X2LUuYtr/9VG7dqzN+283zfVLscfWn747O9aXvIy1IT78KX/r9a/U0iwEWHAQ4VJFZBlx9e3co99bUX3yY1rUvPBeeLNlIyEeaiOxVCyfiA9/yl+5+ufr41TLsxFgAUGEpyoWy4sTf8zeWrcmqhLHF69PW7wS3g/Cug8vtpxe/No0Pxxv77Lpa6USv2luXA6Mo7sLXSzhT/nbdv0rdcWblQALEiJcqqgsI25KCL/9uc27v/AbEQmxfrEQm02f8JoPmxL/rBAbS/ivC6+VGcrf9uqfMZ1qOjsBFhhEeKrisdw4sRCq9bu6dXzc4u2iEl8IdVtaLWf5yUnEPxVi+FP+pq5/OXU2x2aWAqyMIsI5pxubsQQkhNdHiqiEeFuJ+PCn/I2rTdusf+Mij997tgKsrCLC4084FmkCT1+1vaDjZ0vpPdu19qxSS9feHdbStVvU6oV87b3Wj/0lPvzVC57yd9q3wupGarrt+peKMcW6WQuwACHCUxSTZcRQL9Tvw/AidajquhBaxbchSCJjnYW6hNiEV/43JeLDn/JXrv5tqpu72jZ7Ab65KzL4XRQBtUgvhZap9YD2F0IvvNa5SpDMxguxF16zST0XJj78KX+ndWnq+lfqYjdrAUZ8SxWb/Ywbd3wyUdWFQD9LKRFNDZ+x/TVN2cTbbZ74px2v4N8Oe6P8TVf/rB5OOZ2tACO+UxaTZcVKCWGfiObYdFHN8ZVjQ/w0gRyWOTbp6G1/Av9PHeVvc1+LbfLvOi+7WD9LAUZ8d1EU8OkJWKX26zct59h0+cvxlWND/DSBHJY5Nunop0LctT21nvjtXZQUmxrXVf8xBg8N8fVEWN4GgdUz3lfpF9V3+dczXv2GJr0EX72dFcsn4rdsUh8K8KxsGf6Uv23VPytTU09n1QJGfKcuHsuJp5c9aBjISQ/o8BKNCx21Q5Ve+1mv5hObjvG/EhX5135KsvNjO4kPf8pfufrX1szp/3ZcYqY/kL6IiG8fIbafh4CGEOlVhxJJ+62GIkVC7IVXz+WUNCTJ99rUei+8Wmc+NR8n4sOf8nda907+qZ2o/sV1ccr5WQgw4jtlkVhmLLV2NRTIPrxgIqypXpwhkbUWr+8QEw9RMiHWPmrRWDLh7WpVEx/+lL9y9c/q6dTT6gUY8Z26SCw7XkoITUi98Bop6/gSC7HZ9Amv+bAp8c8KsbGEf7onMOXv7PA1KzNj65/Vw6mmVQsw4jtVMSCOJ+CFUC9J0IVuU4ovhD+F1q9a0/KTk4i/LsTwp/xNWf9y6myOTeblISfUOBvEdxwv9t4NARPCMd51oei7WAz1R/xWiIfy0n7wp/xtq/6NKXc5+1Y5DAnxzTmV2EAAAhCAwJwIVCfAiO+cig/HCgEIQAACuQSqEmDEN/c0YgcBCEAAAnMjUI0AI75zKzocLwQgAAEInIfAGwcHB3+cx8F5bf/+9dfNF7dvn9cN9jMlcP/h4UyPnMOGAATmTuC7o8tF9aeKXtAHh4dNqRZw+AekOQzxS6Wlx79/pRR54kIAAhAoS6CaW9CPy3IgOgQgAAEIQGBSAtUIsHKNCE967gkGAQhAAAIFCVQlwOKACBcsDYSGAAQgAIHJCFQnwMo5IjzZ+ScQBCAAAQgUIlClAIsFIlyoRBAWAhCAAAQmIVCtACv3iPAkZYAgEIAABCBQgEDVAiweiHCBUlEgpD5er8/5jUnaP8dGsXwifh5L+PuStHlZvCh/ZxmVrn9nj2iaNVWMA+7LqkT4Zt9ObJ81gaf/bj9g3/XN1zhzuohp/9dH7dqxNu+/3TTXL8UeW3/6huhYX/Iy1ob48Kf81VX/1o9muqVZCLBwIMLTFYoSkfTt3KPfW1F98mNa1LzwXnizPVIJ8VAbiaVi+UR8+FP+llv//PVgquXZCLCAIMJTFYvp4+j7nTcut7dBrXVroipxfPH6tMUr4f0grPvwYnucL35tmh+Ot3fZ9LVSiQ9/yt9y69/0V7w24qwEWIeMCJcqKtPETQnhtz+3sb3w2hFJiPWLhdhs+oTXfNiU+GeF2FjCf/0fPyszlL/9qX92Tqeazk6ABQYRnqp4lIsTC6Fav6tbx8ct3q6jii+Eui2tlrP85CTinwox/Cl/S6t/OdeMHJtZCrAyigjnnO752UgIr48UUQnxthLx4U/5G1eb9qn+jcv5+L1nK8DKKiI8/oTXavH0VdsLOn62u+lYrUOW9rn27rCWrt2iVi/ka++teyc+/NULnvJ32rdivYasL+1b/VvP3XRLsxZgYSotwsTf3hAx9UL9PgwvUoeqrguhVXwbgqQyYB2vuoTYhFf+NyXiw5/yt9z6t+nasKttsxdggSklgoqrRPzzi7BapJdCy9R6QPsLoRde61wl/mbjhdgLr9mkngsTH/6Uv9O6tLT6p+tIifRG+CD8HyUCW8y/f/118/LlS1s81/RmhnXIf3N4eDja0sQ3NiR+TGPY/B9Xzu7nxTbeo0tEc2xiv/F8jq8cmzhmPJ/jK8cmjhnP5/jKsYljxvM5vnJs4pjxfI6vHJs4Zjyf4yvHJo4Zz+f4yrGJY8bzOb5ybBTzu6PLzRe3b8fhJ53fixawEZuqJZoSXx0D8c/fEhbHuAeytW67hFf7K+XYtJZn/+b4yrE5G7ldk+Mrx4b4aQI5LHNs0tHzyjLxT3vtD71mdPGfcv1eCbDA7VoEu8TXThrxtyPC4mkXFWM7ZJpj0+U3x1eODfHTBHJY5tiko1P+cljm2NTKv+u4trm++o8x5GS2TyRzfMpmqN+h+409jqF+h+5XU/zVLaRX6RfVdx2nnvHqNzTphe/q7axYPhG/ZZP6UIBnZcvwp/ztS/2zMj31dO9awAZQInTTFrYwHStqxB/HXy970DCQkx7Q4SUaFzpKpyq99rNezSc2HeN/JSryr/2UZOfHdhIf/pS/5da/9sow/d+OS9z0B7KLiNsSwbHia3kh/nAR1hAivepQImm/1VCkSIi98Oq5sJKGJPlem1rvhVfrzKfm40R8+FP+TuveyT+1C6l/8bVgyvm9FmCBPK8I5oqvnUTiDxNhtXY1FMg+vGAirKlenCGRtRav75AV94A0IdY+atFYMuHtalUTH/6Uv+XWP7tOTD3dewEW0FwRPK/42skk/jARFq+UEJqQeuE1vtbxIxZis+kTXvNhU+KfFWJjCf/AJvHWNcrf2R7IVmbmVv/sOjDVdBECLJhjRXBb4msnkvjDRVjMvBDqJQm60G1K8YXwp9D6VWtafnIS8deFGP6UvyXVv5xrRo5N5uUpJ1R5m6EiuG3xtZwTf5wIi5sJoTEcMtWFou9iMcSP9iF+K8RDeWk/+FP+9qX+jSn3Ofvu5TCkTSD6xLVv+ybfQ7b1+e/bPiTGpn36/Pdt3+R7yLZd+x9yDOwDAQhAoAYCixNgQe8Sga712z5RXXG61i8l/rbziT8IQAACNRNYpADrhHix88u7Pmk+nl9eWvxd5xf/EIAABGojsFgB1okw0bPp1CfH4tp0qfGnzjfxIAABCNRAoIqvIdUAgmOAAAQgAIHlEVj015BKZn55RY0cQwACEIBALQQWfQu6lpPAcUAAAhCAwPIIIMDLO+fkGAIQgAAEKiCAAFdwEjgECEAAAhBYHgEEeHnnnBxDAAIQgEAFBBDgCk4ChwABCEAAAssjgAAv75yTYwhAAAIQqIAAAlzBSeAQIAABCEBgeQQQ4OWdc3IMAQhAAAIVEECAKzgJHAIEIAABCCyPAAK8vHNOjiEAAQhAoAICCHAFJ4FDgAAEIACB5RFAgJd3zskxBCAAAQhUQAABruAkcAgQgAAEILA8Agjw8s45OYYABCAAgQoIIMAVnAQOAQIQgAAElkcAAV7eOSfHEIAABCBQAQEEuIKTwCFAAAIQgMDyCCDAyzvn5BgCEIAABCoggABXcBI4BAhAAAIQWB4BBHh555wcQwACEIBABQQQ4ApOAocAAQhAAALLI4AAL++ck2MIQAACEKiAAAJcwUngECAAAQhAYHkEEODlnXNyDAEIQAACFRBAgCs4CRwCBCAAAQgsjwACvLxzTo4hAAEIQKACAghwBSeBQ4AABCAAgeURQICXd87JMQQgAAEIVEAAAa7gJHAIEIAABCCwPAII8PLOOTmGAAQgAIEKCPz/HcinZeuO9g0AAAAASUVORK5CYII=",
- "text/plain": [
- "<PIL.Image.Image image mode=RGBA size=480x480>"
- ]
- },
- "metadata": {},
- "output_type": "display_data"
- },
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "Using cpu device\n",
- "Wrapping the env with a `Monitor` wrapper\n",
- "Wrapping the env in a DummyVecEnv.\n",
- "Wrapping the env in a VecTransposeImage.\n"
- ]
- },
- {
- "ename": "AssertionError",
- "evalue": "",
- "output_type": "error",
- "traceback": [
- "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
- "\u001b[0;31mAssertionError\u001b[0m Traceback (most recent call last)",
- "Cell \u001b[0;32mIn[3], line 63\u001b[0m\n\u001b[1;32m 61\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;18m__name__\u001b[39m \u001b[38;5;241m==\u001b[39m \u001b[38;5;124m'\u001b[39m\u001b[38;5;124m__main__\u001b[39m\u001b[38;5;124m'\u001b[39m:\n\u001b[1;32m 62\u001b[0m \u001b[38;5;28mprint\u001b[39m(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mStarting the training\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n\u001b[0;32m---> 63\u001b[0m \u001b[43mmain\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n",
- "Cell \u001b[0;32mIn[3], line 56\u001b[0m, in \u001b[0;36mmain\u001b[0;34m()\u001b[0m\n\u001b[1;32m 53\u001b[0m model\u001b[38;5;241m.\u001b[39mset_logger(logger)\n\u001b[1;32m 54\u001b[0m steps \u001b[38;5;241m=\u001b[39m \u001b[38;5;241m20_000\u001b[39m\n\u001b[0;32m---> 56\u001b[0m \u001b[38;5;28;01massert\u001b[39;00m(\u001b[38;5;28;01mFalse\u001b[39;00m)\n\u001b[1;32m 57\u001b[0m model\u001b[38;5;241m.\u001b[39mlearn(steps,callback\u001b[38;5;241m=\u001b[39m[InfoCallback()])\n",
- "\u001b[0;31mAssertionError\u001b[0m: "
- ]
- }
- ],
- "source": [
- "GRID_TO_PRISM_BINARY=os.getenv(\"M2P_BINARY\")\n",
- "\n",
- "def mask_fn(env: gym.Env):\n",
- " return env.create_action_mask()\n",
- "\n",
- "def nomask_fn(env: gym.Env):\n",
- " return [1.0] * 7\n",
- "\n",
- "def main():\n",
- " env = \"MiniGrid-LavaFaultyS15-1-v0\"\n",
- " \n",
- " formula = \"Pmax=? [G ! AgentIsOnLava]\"\n",
- " value_for_training = 0.0\n",
- " shield_comparison = \"absolute\"\n",
- " shielding = ShieldingConfig.Training\n",
- " \n",
- " logger = Logger(\"/tmp\", output_formats=[HumanOutputFormat(sys.stdout)])\n",
- " \n",
- " env = gym.make(env, render_mode=\"rgb_array\")\n",
- " image_env = RGBImgObsWrapper(env, TILE_PIXELS)\n",
- " env = RGBImgObsWrapper(env, 8)\n",
- " env = ImgObsWrapper(env)\n",
- " env = MiniWrapper(env)\n",
- "\n",
- " \n",
- " env.reset()\n",
- " Image.fromarray(env.render()).show()\n",
- "\n",
- " shield_values = [0.0, 0.9, 0.99, 0.999, 1.0]\n",
- " shield_handlers = dict()\n",
- " if shield_needed(shielding):\n",
- " for value in shield_values: \n",
- " shield_handler = MiniGridShieldHandler(GRID_TO_PRISM_BINARY, \"grid.txt\", \"grid.prism\", formula, shield_value=value, shield_comparison=shield_comparison, nocleanup=False, prism_file=None)\n",
- " env = MiniGridSbShieldingWrapper(env, shield_handler=shield_handler, create_shield_at_reset=False)\n",
- " shield_handlers[value] = shield_handler\n",
- "\n",
- " if shield_needed(shielding):\n",
- " for value in shield_values: \n",
- " create_shield_overlay_image(image_env, shield_handlers[value].create_shield())\n",
- " print(f\"The shield for shield_value = {value}\")\n",
- "\n",
- "\n",
- " if shielding == ShieldingConfig.Training:\n",
- " env = MiniGridSbShieldingWrapper(env, shield_handler=shield_handlers[value_for_training], create_shield_at_reset=False)\n",
- " env = ActionMasker(env, mask_fn)\n",
- " print(\"Training with shield:\")\n",
- " create_shield_overlay_image(image_env, shield_handlers[value_for_training].create_shield())\n",
- " elif shielding == ShieldingConfig.Disabled:\n",
- " env = ActionMasker(env, nomask_fn)\n",
- " else:\n",
- " assert(False) \n",
- " model = MaskablePPO(\"CnnPolicy\", env, verbose=1, device=\"auto\")\n",
- " model.set_logger(logger)\n",
- " steps = 20_000\n",
- "\n",
- " assert(False)\n",
- " model.learn(steps,callback=[InfoCallback()])\n",
- "\n",
- "\n",
- "\n",
- "if __name__ == '__main__':\n",
- " print(\"Starting the training\")\n",
- " main()"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {},
- "outputs": [],
- "source": []
- }
- ],
- "metadata": {
- "kernelspec": {
- "display_name": "Python 3 (ipykernel)",
- "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": "3.10.12"
- }
- },
- "nbformat": 4,
- "nbformat_minor": 4
-}
diff --git a/notebooks/FaultyActions.py b/notebooks/FaultyActions.py
deleted file mode 100644
index 477f77e..0000000
--- a/notebooks/FaultyActions.py
+++ /dev/null
@@ -1,105 +0,0 @@
-#!/usr/bin/env python
-# coding: utf-8
-
-# ## Example usage of Tempestpy
-
-# In[1]:
-
-
-from sb3_contrib import MaskablePPO
-from sb3_contrib.common.wrappers import ActionMasker
-from stable_baselines3.common.logger import Logger, CSVOutputFormat, TensorBoardOutputFormat, HumanOutputFormat
-
-import gymnasium as gym
-
-from minigrid.core.actions import Actions
-from minigrid.core.constants import TILE_PIXELS
-from minigrid.wrappers import RGBImgObsWrapper, ImgObsWrapper
-
-import tempfile, datetime, shutil
-
-import time
-import os
-
-from utils import MiniGridShieldHandler, create_log_dir, ShieldingConfig, MiniWrapper, expname, shield_needed, shielded_evaluation, create_shield_overlay_image
-from sb3utils import MiniGridSbShieldingWrapper, parse_sb3_arguments, ImageRecorderCallback, InfoCallback
-
-import os, sys
-from copy import deepcopy
-
-from PIL import Image
-
-
-# In[3]:
-
-
-GRID_TO_PRISM_BINARY=os.getenv("M2P_BINARY")
-
-def mask_fn(env: gym.Env):
- return env.create_action_mask()
-
-def nomask_fn(env: gym.Env):
- return [1.0] * 7
-
-def main():
- env = "MiniGrid-LavaFaultyS15-1-v0"
-
- formula = "Pmax=? [G ! AgentIsOnLava]"
- value_for_training = 0.0
- shield_comparison = "absolute"
- shielding = ShieldingConfig.Training
-
- logger = Logger("/tmp", output_formats=[HumanOutputFormat(sys.stdout)])
-
- env = gym.make(env, render_mode="rgb_array")
- image_env = RGBImgObsWrapper(env, TILE_PIXELS)
- env = RGBImgObsWrapper(env, 8)
- env = ImgObsWrapper(env)
- env = MiniWrapper(env)
-
-
- env.reset()
- Image.fromarray(env.render()).show()
-
- shield_values = [0.0, 0.9, 0.99, 0.999, 1.0]
- shield_handlers = dict()
- if shield_needed(shielding):
- for value in shield_values:
- shield_handler = MiniGridShieldHandler(GRID_TO_PRISM_BINARY, "grid.txt", "grid.prism", formula, shield_value=value, shield_comparison=shield_comparison, nocleanup=False, prism_file=None)
- env = MiniGridSbShieldingWrapper(env, shield_handler=shield_handler, create_shield_at_reset=False)
- shield_handlers[value] = shield_handler
-
- if shield_needed(shielding):
- for value in shield_values:
- create_shield_overlay_image(image_env, shield_handlers[value].create_shield())
- print(f"The shield for shield_value = {value}")
-
-
- if shielding == ShieldingConfig.Training:
- env = MiniGridSbShieldingWrapper(env, shield_handler=shield_handlers[value_for_training], create_shield_at_reset=False)
- env = ActionMasker(env, mask_fn)
- print("Training with shield:")
- create_shield_overlay_image(image_env, shield_handlers[value_for_training].create_shield())
- elif shielding == ShieldingConfig.Disabled:
- env = ActionMasker(env, nomask_fn)
- else:
- assert(False)
- model = MaskablePPO("CnnPolicy", env, verbose=1, device="auto")
- model.set_logger(logger)
- steps = 20_000
-
- assert(False)
- model.learn(steps,callback=[InfoCallback()])
-
-
-
-if __name__ == '__main__':
- print("Starting the training")
- main()
-
-
-# In[ ]:
-
-
-
-
diff --git a/notebooks/HelloLavaGap.py b/notebooks/HelloLavaGap.py
deleted file mode 100644
index 015417d..0000000
--- a/notebooks/HelloLavaGap.py
+++ /dev/null
@@ -1,110 +0,0 @@
-#!/usr/bin/env python
-# coding: utf-8
-
-# ## Example usage of Tempestpy
-
-# In[1]:
-
-
-from sb3_contrib import MaskablePPO
-from sb3_contrib.common.wrappers import ActionMasker
-from stable_baselines3.common.logger import Logger, CSVOutputFormat, TensorBoardOutputFormat, HumanOutputFormat
-
-import gymnasium as gym
-
-from minigrid.core.actions import Actions
-from minigrid.core.constants import TILE_PIXELS
-from minigrid.wrappers import RGBImgObsWrapper, ImgObsWrapper
-
-import tempfile, datetime, shutil
-
-import time
-import os
-
-from utils import MiniGridShieldHandler, create_log_dir, ShieldingConfig, MiniWrapper, expname, shield_needed, shielded_evaluation, create_shield_overlay_image
-from sb3utils import MiniGridSbShieldingWrapper, parse_sb3_arguments, ImageRecorderCallback, InfoCallback
-
-import os, sys
-from copy import deepcopy
-
-from PIL import Image
-
-
-# In[ ]:
-
-
-GRID_TO_PRISM_BINARY=os.getenv("M2P_BINARY")
-
-def mask_fn(env: gym.Env):
- return env.create_action_mask()
-
-def nomask_fn(env: gym.Env):
- return [1.0] * 7
-
-def main():
- env = "MiniGrid-LavaGapS6-v0"
-
- # TODO Change the safety specification
- formula = "Pmax=? [G !AgentIsOnLava]"
- value_for_training = 1.0
- shield_comparison = "absolute"
- shielding = ShieldingConfig.Training
-
- logger = Logger("/tmp", output_formats=[HumanOutputFormat(sys.stdout)])
-
-
- env = gym.make(env, render_mode="rgb_array")
- image_env = RGBImgObsWrapper(env, TILE_PIXELS)
- env = RGBImgObsWrapper(env, 8)
- env = ImgObsWrapper(env)
- env = MiniWrapper(env)
-
-
- env.reset()
- Image.fromarray(env.render()).show()
- input("")
-
- shield_handlers = dict()
- if shield_needed(shielding):
- for value in [0.0, 1.0]:
- shield_handler = MiniGridShieldHandler(GRID_TO_PRISM_BINARY, "grid.txt", "grid.prism", formula, shield_value=value, shield_comparison=shield_comparison, nocleanup=True, prism_file=None)
- env = MiniGridSbShieldingWrapper(env, shield_handler=shield_handler, create_shield_at_reset=False)
- shield_handlers[value] = shield_handler
-
- print("Symbolic Description of the Model:")
- shield_handlers[1.0].print_symbolic_model()
- input("")
-
- if shield_needed(shielding):
- for value in [1.0]:
- create_shield_overlay_image(image_env, shield_handlers[value].create_shield())
- print(f"The shield for shield_value = {value}")
- input("")
-
- if shielding == ShieldingConfig.Training:
- env = MiniGridSbShieldingWrapper(env, shield_handler=shield_handler, create_shield_at_reset=False)
- env = ActionMasker(env, mask_fn)
- print("Training with shield:")
- create_shield_overlay_image(image_env, shield_handlers[value_for_training].create_shield())
- elif shielding == ShieldingConfig.Disabled:
- env = ActionMasker(env, nomask_fn)
- else:
- assert(False)
- model = MaskablePPO("CnnPolicy", env, verbose=1, device="auto")
- model.set_logger(logger)
- steps = 20_000
-
-
- model.learn(steps,callback=[InfoCallback()])
-
-
-
-if __name__ == '__main__':
- main()
-
-
-# In[ ]:
-
-
-
-
diff --git a/notebooks/Playground.py b/notebooks/Playground.py
deleted file mode 100644
index b744bdc..0000000
--- a/notebooks/Playground.py
+++ /dev/null
@@ -1,107 +0,0 @@
-#!/usr/bin/env python
-# coding: utf-8
-
-# ## Example usage of Tempestpy
-
-# In[1]:
-
-
-from sb3_contrib import MaskablePPO
-from sb3_contrib.common.wrappers import ActionMasker
-from stable_baselines3.common.logger import Logger, CSVOutputFormat, TensorBoardOutputFormat, HumanOutputFormat
-
-import gymnasium as gym
-
-from minigrid.core.actions import Actions
-from minigrid.core.constants import TILE_PIXELS
-from minigrid.wrappers import RGBImgObsWrapper, ImgObsWrapper
-
-import tempfile, datetime, shutil
-
-import time
-import os
-
-from utils import MiniGridShieldHandler, create_log_dir, ShieldingConfig, MiniWrapper, expname, shield_needed, shielded_evaluation, create_shield_overlay_image
-from sb3utils import MiniGridSbShieldingWrapper, parse_sb3_arguments, ImageRecorderCallback, InfoCallback
-
-import os, sys
-from copy import deepcopy
-
-from PIL import Image
-
-
-# In[ ]:
-
-
-GRID_TO_PRISM_BINARY=os.getenv("M2P_BINARY")
-import gymnasium as gym
-
-
-def mask_fn(env: gym.Env):
- return env.create_action_mask()
-
-def nomask_fn(env: gym.Env):
- return [1.0] * 7
-
-def main():
- # Edit 'environments/Minigrid/minigrid/envs/Playground.py' to alter the environment
- env = "MiniGrid-Playground-v0"
-
- # TODO Change the safety specification
- formula = "Pmax=? [G !AgentIsOnLava]"
- value_for_training = 1.0
- shield_comparison = "absolute"
- shielding = ShieldingConfig.Training
-
- logger = Logger("/tmp", output_formats=[HumanOutputFormat(sys.stdout)])
-
-
- env = gym.make(env, render_mode="rgb_array")
- image_env = RGBImgObsWrapper(env, TILE_PIXELS)
- env = RGBImgObsWrapper(env, 8)
- env = ImgObsWrapper(env)
- env = MiniWrapper(env)
-
-
- env.reset()
- Image.fromarray(env.render()).show()
-
- shield_handlers = dict()
- if shield_needed(shielding):
- for value in [0.9, 0.99, 0.999, 0.9999, 1.0]:
- shield_handler = MiniGridShieldHandler(GRID_TO_PRISM_BINARY, "grid.txt", "grid.prism", formula, shield_value=value, shield_comparison=shield_comparison, nocleanup=True, prism_file=None)
- env = MiniGridSbShieldingWrapper(env, shield_handler=shield_handler, create_shield_at_reset=False)
- create_shield_overlay_image(image_env, shield_handler.create_shield())
- print(f"The shield for shield_value = {value}")
-
- shield_handlers[value] = shield_handler
-
-
- if shielding == ShieldingConfig.Training:
- env = MiniGridSbShieldingWrapper(env, shield_handler=shield_handler, create_shield_at_reset=False)
- env = ActionMasker(env, mask_fn)
- print("Training with shield:")
- create_shield_overlay_image(image_env, shield_handlers[value_for_training].create_shield())
- elif shielding == ShieldingConfig.Disabled:
- env = ActionMasker(env, nomask_fn)
- else:
- assert(False)
- model = MaskablePPO("CnnPolicy", env, verbose=1, device="auto")
- model.set_logger(logger)
- steps = 20_000
-
-
- model.learn(steps,callback=[InfoCallback()])
-
-
-
-if __name__ == '__main__':
- print("Starting the training")
- main()
-
-
-# In[ ]:
-
-
-
-
diff --git a/notebooks/ProbabilisticShielding.ipynb b/notebooks/ProbabilisticShielding.ipynb
new file mode 100644
index 0000000..499f050
--- /dev/null
+++ b/notebooks/ProbabilisticShielding.ipynb
@@ -0,0 +1,365 @@
+{
+ "cells": [
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "## Example usage of Tempestpy"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 1,
+ "metadata": {
+ "vscode": {
+ "languageId": "plaintext"
+ }
+ },
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "pygame 2.6.1 (SDL 2.28.4, Python 3.10.12)\n",
+ "Hello from the pygame community. https://www.pygame.org/contribute.html\n"
+ ]
+ },
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ "2024-11-29 12:24:16.266841: E external/local_xla/xla/stream_executor/cuda/cuda_fft.cc:485] Unable to register cuFFT factory: Attempting to register factory for plugin cuFFT when one has already been registered\n",
+ "2024-11-29 12:24:16.283112: E external/local_xla/xla/stream_executor/cuda/cuda_dnn.cc:8454] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered\n",
+ "2024-11-29 12:24:16.287862: E external/local_xla/xla/stream_executor/cuda/cuda_blas.cc:1452] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered\n",
+ "2024-11-29 12:24:16.298829: I tensorflow/core/platform/cpu_feature_guard.cc:210] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations.\n",
+ "To enable the following instructions: AVX2 FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags.\n",
+ "2024-11-29 12:24:18.626838: W tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Could not find TensorRT\n",
+ "error: XDG_RUNTIME_DIR not set in the environment.\n"
+ ]
+ }
+ ],
+ "source": [
+ "from sb3_contrib import MaskablePPO\n",
+ "from sb3_contrib.common.wrappers import ActionMasker\n",
+ "from stable_baselines3.common.logger import Logger, CSVOutputFormat, TensorBoardOutputFormat, HumanOutputFormat\n",
+ "\n",
+ "import gymnasium as gym\n",
+ "\n",
+ "from minigrid.core.actions import Actions\n",
+ "from minigrid.core.constants import TILE_PIXELS\n",
+ "from minigrid.wrappers import RGBImgObsWrapper, ImgObsWrapper\n",
+ "\n",
+ "import tempfile, datetime, shutil\n",
+ "\n",
+ "import time\n",
+ "import os\n",
+ "\n",
+ "from utils import MiniGridShieldHandler, create_log_dir, ShieldingConfig, MiniWrapper, expname, shield_needed, shielded_evaluation, create_shield_overlay_image\n",
+ "from sb3utils import MiniGridSbShieldingWrapper, parse_sb3_arguments, ImageRecorderCallback, InfoCallback\n",
+ "\n",
+ "import os, sys\n",
+ "from copy import deepcopy\n",
+ "\n",
+ "from PIL import Image"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "metadata": {
+ "vscode": {
+ "languageId": "plaintext"
+ }
+ },
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "Starting the training\n"
+ ]
+ },
+ {
+ "data": {
+ "image/jpeg": 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",
+ "text/plain": [
+ "<PIL.Image.Image image mode=RGB size=864x704>"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "\n",
+ "\n",
+ "Computing new shield\n",
+ "LOG: Starting with explicit model creation...\n",
+ "Elapsed time is 1.5311391353607178 seconds.\n",
+ "LOG: Starting with model checking...\n",
+ "Elapsed time is 0.0014214515686035156 seconds.\n",
+ "Write to file shielding_files_20241129T122454_58hszne6/shield.\n",
+ "LOG: Starting to translate shield...\n",
+ "Elapsed time is 0.056265830993652344 seconds.\n",
+ "\n",
+ "\n",
+ "Computing new shield\n",
+ "LOG: Starting with explicit model creation...\n",
+ "Elapsed time is 1.3646655082702637 seconds.\n",
+ "LOG: Starting with model checking...\n",
+ "Elapsed time is 0.0015163421630859375 seconds.\n",
+ "LOG: Starting to translate shield...\n",
+ "Write to file shielding_files_20241129T122456_wtrsvp2x/shield.\n",
+ "Elapsed time is 0.05994606018066406 seconds.\n",
+ "\n",
+ "\n",
+ "Computing new shield\n",
+ "LOG: Starting with explicit model creation...\n",
+ "Elapsed time is 1.5757696628570557 seconds.\n",
+ "LOG: Starting with model checking...\n",
+ "Elapsed time is 0.0013585090637207031 seconds.\n",
+ " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 683\n",
+ " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1139\n",
+ "Write to file shielding_files_20241129T122458_wavsk47p/shield.\n",
+ " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 683\n",
+ " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1139\n",
+ "LOG: Starting to translate shield...\n",
+ "Elapsed time is 0.05765676498413086 seconds.\n",
+ "\n",
+ "\n",
+ "Computing new shield\n",
+ "LOG: Starting with explicit model creation...\n",
+ "Elapsed time is 1.7896459102630615 seconds.\n",
+ "LOG: Starting with model checking...\n",
+ "Elapsed time is 0.0013873577117919922 seconds.\n",
+ " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 610\n",
+ " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 611\n",
+ " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 635\n",
+ "LOG: Starting to translate shield...\n",
+ " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 659\n",
+ " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 683\n",
+ " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1139\n",
+ "Write to file shielding_files_20241129T122500_n10bceo8/shield.\n",
+ " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 610\n",
+ " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 611\n",
+ " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 635\n",
+ " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 659\n",
+ " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 683\n",
+ " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 1139\n",
+ "Elapsed time is 0.057317256927490234 seconds.\n"
+ ]
+ },
+ {
+ "data": {
+ "image/png": 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pXhCxAfxZZv7+/ftS06ku/WmqS+lpwDxP1zrLdxJZoMNiBKaOgD1gU68Bvn4jYASMgBEYFAGtvsog9uOPP66XndeURJ0Yx6yMSDzpJOz/SQrjPR5NI1Mcx4RfuXJl7hHjg7vLRERIHjHSyuPFt8KIz2X//958x0peHOLlpeH7VpCLrjJ1/SJiS7FM9yHKcfFXnYDEU1dW1aW/yerfOnVWdT2ev/eNwBQRsAdsinfd12wEjIARMAKjQQCvQC5xtcO40pyIGGRsQdK7OE+/9a35B3TxgDGQZisixnFXERHqmr5KpGA/TVOEcG1Cpq5fROwIlhn5mscfA//Sqphx5cyFunT7dv1h7iP1L53I2nV2fvLeMQLTQ8AesOndc1+xETACRsAIjBQBBrFMOeS7SfrMA1uOtQJifurK81L66DIDZ4Qt3/7ip7A8n47rxTX+t6r6TZjupri2Le+H6R2xeZo2cpASPPs8TVP8rHmfaZ5+tjN1/fXiGgkbMFoqAd9N4h91luqNwt44c6YmWTE9+6p/69TZvAwfG4GpIWACNrU77us1AkbACBiB0SGQD2JZrpvl6Z8/f14vxIEXLCdieR7SfJEW7bh69Wq9WAeeLw2elxGxHycy9eP0ItmrP07LQa8gYgz8WaBD74fFxTpqUANJ4FjE6056Zehh4oZ8WDiXqesHE7ABI0hqkYhda1DbBv6UnNcT6g4LvlCXWNTl+x3rH4vGUGepu9ThvM42V+F/I2AETMBcB4yAETACRsAIDIgAK8nJeyDipVUROS15vhjcRiKmPIQRJ0KWRr31Ahy8z8MgOhIxVrrL5cZ/TCsuvt6EthGxOPBnpUTeC+NXWjWR6Yg58aJ0lldnufpcpq4fTMAGKRKxhOc28adOiKCLeFF3WMQF2b97t65bnetfyqOVOnMiRrjFCBiBqjpz7dq150MCcTN9yM9iBIyAETACRmCqCDAoZXECFtTIB6iEQ7DiohwQLaXjXRwImgTihtehXmku5ZMcHBzUS9KzAuL8XbBPb1WQJQlTEOWNUtj3/i9pitknDdEiLF8JMf822Mv/KhHGRMw++D/SkvWzQurvWiWCsfdllRq2U9cfoIC0yhum4BvbxP+bV2s1EDBWQtRKmtLN9oPr1/vXv1AQ9ZTVO6mXpffHQlLvGoGdIPDOO+/sRE+bEhOwNmQcbgSMgBEwAkZgIAQ0YP3kk8R+kkDO+EUiFk8N4hWXp8eTVhO6wgIf83wZAVN4iYjlxEtptc2JGOF41f4f/9RCvJQxEDAFTUq/LjpsRcT+9Olh4FbwnxGwQy2HexD21774ojp2/bPH6xBU740KARMwe8BGVSF9MkbACBgBIzAcAjnx0pRDnVFOxHLiRbqYByL2yy99aT6dTOXU2xYCpjQiQt+7XF5+XuniFiL2wb1EvpJT7hVNN/wfMUW2XyBgSjEJ/brYfJtw2fr1FwiYPKXfnn20O9YlTrFP/asfBJiI5XfYxwMjYAJmAjZwFbR6I2AEjIARGBqBEvEijOmFJZLFoBbB6yWJg2NNU2Q6InI7LapwZIrZCgKmcjeybSNhSwjYRvSqkLHq1/nF7TYwKV1/IGAiXs8S8WLiKsRrk/Vv7pE1EYt32vsDImACZgI2YPWzaiNgBIyAERgagbfffrt+B4zziAPf/LxKRIw0kXjleSIRg4rxDtj8u0+7JGCcWIkEbINs5CDoeIz6dW7abhOP/PpnBOz+/fv1O2CcwvcD8dIpaXvc+kc5vANW+u6ddHhrBHaFgAmYCdiu6pr1GAEjYASMwAgRYKENLcIRF9RoO1UNhImHfLW9FxbzQ8Twlv31r35Vk7A6btcEDKU5Cdgm4YgAaH9s+nVebHeBRbz+GQFjAY5Hjx5V//LTny4s6BJPLe4fp/5BwOoFYmKB3jcCAyBgAmYCNkC1s0ojYASMgBGYLAJaHXEIAgbokQTsgnTkN3pM+nVuu8RB1x+mIPLpAosRmBICQxMwfwdsSrXN12oEjIARMAJGYOjB9i7JRuluj03/rs8n1zd0fSjdI4cZgVOOwJdP+fX58oyAETACRsAInFgESt8BW3YxTA+bfwdsWUIG3a+cWfRGLUu/rTh5Y7ZV/qpyh9bP+Q15DivI19bq36r74ngjcMoRsAfslN9gX54RMAJGwAicPARYgY53u1ig49VXX60/vAy5ahPi+DgzaclDXspoFU1DbE3giEkg0FIPtl7/JgGuL9IItCNgAtaOjWOMgBGYCAI85WXQGoXBLL8ocbU6whn0EsYCBxL2CYuD5VL5Ss+2FD8l/RGLqe9r4Hv9+vX6I7isioiwgEaJiEXipSXpycMHdCmjSMRaBt1Tx36y1x/qw07q32SB9oUbgUMETMAOsfCeETACE0UAAsQvegw4ZkAbyZWIksgVg1zCIlHjWHkFp8Ji+YpjW4pXGVPQH7GY6n5p4Pvhhx/W9e/jjz+uVzsEm0jEqHeQMhEvVkQkLXWGvEUiFgbbU8Xa130UgYOLF2uyHon/VurfUdUOMQKTRODMtWvXng955Te9CuKQ8Fu3ETACCQEGrG+++WbFx0JFrhgQMxhhECsSxICXwS4DXZEplg3nnRsGK/poLoNihMEwHohS+XWC2V8pfkr6IxZT3I+eVeob9760HD11k/onwiWsjvUdMBXi7fQQ8HfApnfPfcVzBLwK4hwK7xgBI2AEhkGAwa68BSJWkC0IGeRKBIyBLsIAOBI1wuQFg3DFdMSVyidcUoqfkn7hMNWtvo0kj4PIF3WMeqD6p+mE8ohRz9inzhKHkJY8qp+URdiTy5fr73+dO3duqjD7ulsQoE7wge7LqY589Pz5nPxvsv5Rt1XPW07DwUZgUgiMygNGJ8JgZ5OyzhfXrd/4u/5Nt/0xSLUXbDgv4NTtb+z3GPjmnq5lnjHyinhFGzb3jKWP3xaF74BZpotA/A5YQOHZs2fVD996a8HTeqz6N3s4EFQc2Z16+/f17378ObQHbFQELE7DONI6ewY8T09zuor1v12/i9IVry7pjL/rX5d6Qpqh2x/ngLeAAeyNGzcWPFq869VliiGDFAbCCF4IBtEMgulckVL5dcTsrxSPZ2MK+oe+/0PrpwqUiBdeA+oUdQDJB8I58cJrSz3iHUKERyrnz5+vLly4UO3t7dVh8z8TsDkUk9zJCBjE6+DgoHr48GENx+vp/7j1j4LmDwKWELGh25/1T2/8ZwIW3gGLnUzd+o/xR2NC1iEA1n/YyR8D+jqr8Xf9O2ntj/PFBtgLNowXbMr2t0S88kErJB5CH4kYdVYeL4gXeSD+CGV+8dpr88E0YUeI2IyAPfu8qp79sar2XyRVN3n6hybdunn2XqiqvewLpNY/EP4zApYTL+7svK7cvl3f6D71L/fi5nW6qUHN/5TbPwj4+nc//hyagJ26VRDphHhiM5RYv/F3/Tu57Q/PAR4GBrnyIGhAq4EutkX3mAGGROkUhucqT1cqX/nZluJV7hT0Ryz67J9U+8tiL6o3DFLz97rAgnoAqcI7y3VSH/ixTxhxqiukfyX1gxfTynZXrlypB9OE4dl48OABuwvy4HdVde+36ffPVSVitZAgHBBPujp9jzzoysX6B8Y/1Ql5vSBe1BnqTu0xTfYQWbv+JfsHadP7ipRBHaeub0tOavvfFB6+/mHHn+vex+w51LrZN5uexqlBT9+SGfAwiOkj1m/8Xf+aaUt92g95TnL74/wZxIroQMQQnkwiOmZf9YTBskTTDGM65RURK5Wv/GxL8Sojlnsa9U/Z/lKPGDyx1WIa1AfuPbhw70Wu2PJTfVM46RHC/+zdd+sph/v7+/UgmsE0UxCZXlZahOPCfuOBefqsIQL7aabixa8uesQgXhAl0iB4spB18lAuunKx/oHxn01PzaepPn36tK4z+9SfGXHvUv+wodRlxmLUZ+okx9Rl2cK8Dky5/YOFr3/Y8WdeH3dxPCoCFgcYfS5eg5I+eclj/c2Asy9+xv945MX1b9j6R72nE0TiQFgDXA14IUkxHekZKMsbEdPjSeO+6qFQzBcH2pSBlOJjeaQ5rfqnXP+pH6oj3GPqE/ddDwOwrdQN6qXqg7akR6ifpPlJqnOP0/Hjx48rCBjkKxKxOnH2xzTCy99ovF8iWXi4RJgOni4Sr/OJRF14qSnk4EnyrM3i2/KUCF08BesfGP9UT6gjEogXnlK2CHXp4YsvVj9/772V9U9TZKmztGnqZSRi0pFvp9z+wcLXP3z/n9fJbR+PioCpka570Tw5JO+ZM2fWzbqQ3vqbp1ULoHQ4MP6uf6eh/S0jNnSOXCOyjCQxQJYo3TLiprRsp65/6vaXOpATL+odRIs6BBnTVMVIxES8GPj+IpXBQFreLgbQ9+7dWyBi6GmTEhG6D5tLgscrEq8mtCFikLFIxJRnFfFSGdpa/1EiJix3gX9OvPK69J00ffCV7EFArH/cx7zO8k4tYaSTDdX9jtupt39f/7Djz1gXd7U/KgLGgKWPF+U4054i0NZv/F3/1vfinab2hz2w9+twGpy8LAyekGUkkQcxMX0f799U21+JeMUBK20sphER457I43A3eLsI57tOcUDdl4jh/ao9YTOPF2WXBBImIsa0RKYVQqj6SCRi1r99/GM94X5BvOQ55TjWJTysr4d3FlX/cpKV19lVRMzjL4+/hrT/1PNdy6gIGA14HWEwoCka6+RrS2v9xr+tbpTCXf9OT/tbRiywC3pyK69WiaTZ+9Xf+0f7mrL9pV7Rl4FBJF7R7lAHIWGRiAm3v3/yZGEKmfIxkObjunGAzXtgly5dUpKlW4jQpTVJlKYmLi24Y6T17wZ/6gR1JCde8TbFunQ3TU/8ViJiyLp1lrouexrLn3L7F44Rj1X7Hn9sdvyxCu9txI+KgOnpadcLhS1rufOueZals/5m+eJlGMU44+/6d1ra3zJiJe8PdT+m45jBMAPnTXh/KK9E7Kagn2ufsv1lFUPufRyY6qEAdY441Y1IxMDtDaa9JqKFxOXE58uIp29/xcHzkW+BpXwPPkvv+fy+PMWQcnPRghyE54t15Gl1rCmKZ7+S8nxNoc3W+ofFX4u0UE8kq+rSk0TY/iF9RmjdOoutLMmU2z94+PqHHX+W6uS2w0ZFwLZ9sS7fCBgBI7BJBP7NO+9ssri1y5q6/rUBG2kGFmTRoiyReOl0IWElIpbcD3WSOFhWHpYV55cTMcXnW74D9vHvmgU1Su96kV7ESyshEqaFN9qImIgX5S8T6x8Of0i5iPk6dakm/+kB1Fp1dlklcJwRmBACp+47YBO6d75UI2AENoQA3gWEQS6DCUSep/hkMqZj8MsTY9694T2ImJ6nvHjG8JAhMZ/KryNmf6X4WJ7SxnSnSb+ub8pb6gV17dVXX13wtH744YcL9Yd40pH+N2kWCKvV3blzZ+E7Tkw7hHghkDDiScfguiR4pC5/vXnXSETozkGzsAbp47e/IF+8E0Z65dFS9PE7YhAvyoDUUaby5N4vyrf+QyyHwJ97QN1Yty5R/9ats+iyGAEjUFUmYK4FRsAITB4BvA8L5CYhwtQa3ksoEam/SERNg1mm7/wipYe8SVSWyFupfKVlW4qfkv6IxRT3mc6dEy99jJl6ABnPP2hLen5/mggWEj+gy4MB6mX+EWaIGEuKl0QLX4hUiQjcSq/64OVaIF5pyXrS53lExMiTEy+WuSd9m+RlWX+D4S7wp07kJF4fY26rSy+mutSnzvZZaKGtzjjcCJxkBEzATvLd87kbASOwMQREmpZ5wSBK/zTzLPDiOsIAhR+rg0Wv1Ta8YKdZ/8Zu5AksSINS6qCIF/c6Csc5ESOePH/y8cc14dI0MuXjOCdijx49UnRxmxMhEsl71Uai+uQpKkdXImnoERG0/u3jrzoRSfyyuvQ3sxkD3Jt166zqOnktRmDKCJiATfnu+9qNgBGYI8AAN5IwIo54oZJHjG8sIUztil4wwv7df/kvbGpRWRv1gp1i/cJtitv333+/ev78eU2wRLyYvkr94/uWbDWdVUSM9At50pRXVrJjuflbt27VW44REbGrV6+utQIiROhqWjOhjXjl90rkaZ08eRk67lNWnzzSl2/7lNUnT65Xx33K6pMHfayKSd2ArIt4tdal27frenqk/qVyutRZ6rrFCBgBT0F0HTACRsAIzBEQaSp5wf7Vf/gPdToGKHq/JveCQcgO0iAGgXht0gs2Bf01cBP/0yCW7yYx/RVhy3EkYhEm5XkpkS+RLg2gIWQKi3nifr24xmfpPaDPY+jyfd7x4tdVKJvVDtGVi/U32AyFf7wfpXqjsDfSwwA9CIh5VP/WqbMxv/eNwBQRsAdsinfd12wEjEARAbwL+h6NBr8MehkGx0HsuXPn6vx4wSTyjNXpkqcKIS+iaTel8usEs79S/JT0Ryymtp8PYiHvLE+Pp4GFOPQ+YiRieR7SfJHS4s3g/RweFmjwvIyI8bHjh+l3J1VnSNIyIhAX1+A9r7hYR+meiXhRNjrQlYv1D4s/9yOvJ9Qd6hB1iUVdvp/qVv4goFT/qKvUWequHkDFOpvfex8bgaki8OWpXriv2wgYASOQI8CAgkEGA4fvfe97dbQ8WrznJYnvTChM3jARsWff/nb1QXpRHZFnrVS+8rMtxU9Jf8RiSvt4S7WIC3WP+qKpq+Agzxf1g3ANhIURxIv3w0T4U4LqQgqjLlIveVCgATbeW6aaRWEJ+b0XGhIASeJXL0WfqvzebJQA8SKcxTEQ3gtDWHijtHw9xEvEqkl5WKaOtbX+YfFn9UM9TJKHX3aMe7R/9271Udp2rn8pLfWUH/WSuq06S93Wu7KUbTECU0VgZlpP5uUzQOJJi6RtX/Gb3lq/8W+rczF80/VO5bn+bb7+adArwpTcDvOBiQatTDPUYEWDFAa3/LQgB/eIge8v0pYX1vFsIUfKr0MP/47ET0z/IRKr905b/S8RL1DAewrBog7lRIz4BeKVjlmensHu99KP+ksdjUSMPLlAslgK/kIiXCJNImJ8OBmSFYlX/OZXPX0wecIiEYOc8WFnSU7mFK6t9Q+LP/ehRLwI/+D69er1VKfWrn+zB1jYNH4iYpS5CTlt7X9dTHz9m+//170Hx01/5tq1a4cM5ril9ch/M31J3WIEjIARGBoBnu4yVYaBcP2trjR4hUSxKh3Eimk4iJ4WR0+CpneRhrSQNJZ1RljOeS+9uH6k/Dr28O9I/MT0HyLhPRDQgJVvzCE8FOAnMl8Hhj/qLJ6GI560ZYsefHorlHC4W/JeQaoi8TpM3exFIqa4VcRL6fKt9R8SYWGzFfy/eVXFH9li+1774ov6G4dE9q5/iXxZjMAYEXjnnXcGPS2/AzYo/FZuBIzAWBBY8D4l8oPI09XH+0V+SBpPlvFELJRPZCYL8RPUn8Ex2UOIFyTrevI8QL7wfiEQK97JoZ7UDwhmCLFPWPwmE3nISxmvfPpp/SBhlrzTRh6pK+ebaYP1R5e/0SwR31aAVuAjLcSLvHjVNIWxLV8p3Pob7IbAH+LFwyM+bbCR+pfqMnXaYgSMwCICJmCLePjICBiBCSKA90nvfv1g5jFgIIInK59WCDxzYpX28Yghq0jaf5+9WyaiVWea/U1df8Riqvsl4sWCBtSN0keYqUc58cJLQVryaOEOBtEMphlUU6fXEREhyFVXIW1f4pXrsP4Gy13gL+JF/fl2snuQ+E3Vv/pBgIlYXr19PHEETMAmXgF8+UbACDTeBXD45ZcOTWLu/SJeYave/SJtJGka+MbySSPRtLEYL10idqRV2GnTLxymun377bcXPF4a+GpRDTxiELSciKneiHiJxIGj3hcTEWNQTf779+9PFWZfdwsC1AnqBg+cvh+I1ybrnzyy1HWLETACVXWiF+HwDTQCRsAIbAIBXmh+92c/m39kmTLPnj1bF40HTEIYS9DX0wpTIFvCRIhIRzwDmTyMuDqMKWUskBBk6voDFJPc5f4jECkNektAiIiRLpKvtvfCKENEDK/YjTSN8a9/9atS0Q6bMAL6rMa//PSn1UezT2eU4Dhu/aPOqq6XyneYEZgSAl6EY0p329dqBIxAGQFI0a4lkrCp69819lPXp/rWsgjH1OGZzPXHRTiiPZoMAL7QKSPgRTimfPd97UbACAyPgAajuz4T6dV2qvp3fd3Wd8QDa0gmjoDJ18QrgC9/CAQ8BXEI1K3TCBiBcSDwyplhz2Pq+iGfKwZ/8TtYXW4WqwLW38GaTevrkmeSacB9KPI/ScBHetEr2t9Iz9qnZQROPAKHb5yf+EvxBRgBI2AE1kDAg881wNpi0pb7oAUleGm/tPx6fkZxOXby6H2VPJ2PAwJDD76tP9yMAXaHxn+AS7ZKIzAWBEzAxnInfB5GwAjsDoGWQf/uTsCaFhAI90PEa2PfwfLy1wtQHzlIg/DHjx8fWR2RzyvoEwvKw2p5pJWw2AxhT58+VVC9TxhxklL5c8+n9Q+Lv26St0bACOwUAROwncJtZUbACAyOQBjsD34uPoE5AgcXLx75ALGWY8+XX5dHrOt3sPwdojnMxZ3//G//bU0C9LkEEkGa+OxBJFciUiJXbAmLRO3Ro0dHyjoSlnlerH9Y/IuVwoFGwAhsFQETsK3C68KNgBEYFQImX6O6HToZfYfoJ+mjwfEDsFqSXdMJcyIWl2InTt4zytXy6/oOlr9DJLSPblnWnnVA9Z05UvAdOySSK4WJqOkj5ZA0ETV9foGyRNRi2NzzVZfe/Fn/sPiHW+FdI2AEdoSACdiOgLYaI2AEBkbA5GvgG9Cunu8Q8T21y5cvVx89fz7/Fpbe6+IbVkhOxBi458SLtHjGyItEIsY3iPwdohqWhT8wgvjysWaRK0gT37lbRa70oXARNfK0ETXKhyTnYv3D4p/fDx8bASOwfQRG9R0wDDOrV21S3n///c7FWb/xd/07pe2vjXz5O0id7eNWEsbvEAUFeE5++NZb848NEwVBwEYzWC+JiFdswxA0fhC3VTJ1+w9+b775ZvXyyy9Xv/nmN2u4IGMQXDxdkGMEooV3C5Il8nXv3r2aqJGGtNy/O3fu1OmvXLlSE7mP0kd45+XPyHGdYPZn/cPiP/X67+uf3vhv6O+AjWoZejpOlhweSqzf+Lv+ncL210a+hjI01tuKAAN3Bv0M8P8iDeB/nFLisWJwjn1mAJ8TsZx4QSAgabRlpijy60LEpm7/5YUChx8l0vqD9PASLxj3Ql4wyJXCCJeXDCIGCYOcQcLkBSMN9/Ni+kGbuXd1+YlI46WMYv2NF2wo/Kde/3390x7/RVu0q/1RecDoSJmnvwlhGWLkeZrO0lWs3/i7/p2y9nf16vLmP/OAPfu8qp79sar2X1yePMY+/UNztG6evReqai979DVZ/TMPWCRewhgPSz3Av327DuIJNWRKbZTBPMLACYF4QbQ0sGcKoghYnSD9LSNiU7f/YAQGC16qhPFxvWDcJbxoeCGPlI/SIEfirX9n+E+9/vv6pzf+G9oDdureAaMTHnKOv/Ubf9e/74Uh1W53Y/tbZzLlg99V1b3fpt8/V5WIVduZE0+6On2PPOjKZfL6Z9PawAXixbQ1vCp4UpLbpIZL73XduHGjJlsQL37cc8L0vpiwzd8XIxxCxoqI25JY/7alY1m5x9UvLxQkt54NkPCFBCNaZIN93tlD8HBJlA7ChnDvbsw+hg3uyJHy69DDvyPx1r9T/A/vRL+949a/floPc1m/x19Djr8Oa2K3vew5bLdM20qFkT7uFDDAx4j3Ees3/q5/x5uCOJb2tw75wlZc2G88YE/Tp4sgVvtp3H/xq4seMYgXRIk0CJ4sZJ08lIuuXCavf7bgg6a0CR8G/Qzo9xMZu5BIGgIR44dHTMf1zuxP73Lg7aIvEBHjGBvf1kFP3f4DHyRWHkV5GHl360tp6ifTDyUsK49osQ32Rbzm6RJ5+mj27p0wL5VPXkkp3vp3g//U67+vf9rjP9mgXW5HRcBk8PsCcNzBs/U3T5qNfz8EXP+OR9421v5mHpN17iLTCC9/o/F+iWSJiEGODp4uEq/zKezCS42GgyfJEzCLb8tTInTx/CavPw3u5wP3BAzEi/eJ5HWpv0n14ovVz997bz7FUFMNhWM+RZH2SJ0iPBIxpc+3G6t/ecEdj4fWz2kyCEUgq1q4BJx5oPEkkWCE6aLyfMnrxX3ih9erDkvkC9zxpHFdeihaKr8udPZXirf+3eA/dP2zfo+/oi1Yd/+446919W0i/agImDrJdS8MtzN5z5w5s27WhfTW3zwtXgClw4Hxd/0bS/t792c/q6pLlzrU2nKSEhG6/7hJi8crEi+VABHjF4mY8qwiXipD26nrz4mXFn3Au0Lcd9L0wVcSSYAgiIDlxIuBHHGE480pLdwhvON26vYf71MkQGDDezFgCKb7aZ/poPJ04f2qp4imdFqCvvaIpfSIyuI+IKXy64jZXyne+neH/9Trv69/2uO/aIt2tT8qAobB7sNijzPtKQJt/cbf9W99L9ZY2l8z7Istuv9+JEJ4v+qpgzOPV1upkYgxLRHPGeX0kanpLxEv3gGTV4xvhClN/bHmRMQ0wI+LcjDYZyCFUC8ZwNcelA5EzPa/7P0CyzmJSl7Fh6++StDCu0ncm9r7NZsmSvpNeb/QZf0zErtl/N3/ndz+j3ZyHJm6/TsOdn3zjoqAreuCjvPF+wIQ81n/ei5w43/4vkSsR333Xf+OUf/Sk/ltCETo0pokSlMTN3E+U9EvDxeEKxKviCFxLHHOYP9uGuh/a7ZiLu0mEq+YBzIGCYtEjIGGSFpMO+X2t8r7JLzADpr2TwXvF9NDr8wAJR0yJ04F79osab2x/uXex23jz02Ycv339fv+14Zox3+jImCaUtIVA57WaLn5rnmWpbP+xe+yLMOKOOPv+jeG9nfcaYfU5QefVdXj35enGBKfixbkIDxfrCNPq2NNUTz7lZTnawpttlPXD+ni3SF5vEAlLk3P1DYt0CEi9iQRsX+4eXOBTGkgDwFgmqLeZYpEjCnTJZmy/RdhEl7gIzxEoghTui/98pe4GGsyDCH+84Tpb9K0T4T02/B+Ubb1N8R20/iDre43+13E/b/7/zH0/13q6ljTnLpl6McKtM/LCBiBzSOwyWmHfAfs47TK4Z2D5n2u0tnGJeiZZqgVEJctXw/xokzKRkebTFk/09dEviBevFN0J32IWYs9sOWYcOIR0r+RSBYC8WIA+WqaHqdBOluOCScegYhpcYk6wH/9EZi967Ud33OH07L+GqTB8O9wi5zECBiBdgRMwNqxcYwRMAIjR2BTgw88Upe/3rzrVSJCOfHinTDSK0+JiOXES3ly7xcQT10/GJSIF54vph3WizukNDkR+02aBZETL7w4H374Ye39otwSESPccogAmCFgJbIqz1f0jMR0pN+/e7eeuobHK6bHy8jiHUz9RGI+lV9HzP5K8bE8pY3pCLP+zeAvfL01AkZgdwiYgO0Oa2syAkZgCwj81Xe/u5FStfCFSJWI2K1Pmm+DQbJEoliynvR5HhEx8sjjledpO9m8rCnpZ5n56PGCcOljzHi6mKLIcSRiLyaPWPR4MTj/+OOP5++DMYDnOA7aSd9noYG2e3ZawvEKRpy4LryFvBe0ikiJKMnzSF6VJfJWKp90klK89e8Of90Hb42AEdgdAiZgu8PamoyAEdgWArPpSJsoPidClLmKRPXJ03aufcrqk2dM+uOHfUW8tMS5zpNjEbG/mXlsiIvEK59eyHFOxEzAhOjiVqRpmRdsGVHahRfM+tuJ8nHxX6wNPjICRmDbCJiAbRthl28EjMBOENjUdESdrEjN1bRmgzxeimvb9smzybJOqv5L6dttV69erQmWiBeLO9y7d6+6detWveUY2bt9uyZVz58/r/hBsES8mPKG54RvQrLVFDgRMdK///77bZBPOnwZubEXbPl0ytPgBZx05ffFG4EBEDABGwB0qzQCRmA7CPSdjlivavhZeg/p8+7nxTte/LoKZbPaIbpymbr+iIeIF+RLpEthbyRiJVIV84h48dFlyALCluNIxGIe7x9FwF6w1e/CLSOqx/VCDY3/0RrhECNgBLaFgAnYtpB1uUbACAyDQI/piHxs+WH63XnYkKRlRCwurrFq1UQAEPGibHSgK5ep6wcPkSwRLzxhvLOFZ4yFOL4/ex8pkqqcePHOEgtw4Om6ceNGpcUgYp4cex8fIgC50PegRGQhsIiO2ecj10h870vve8V0yqtpn6Xy64Jmf6V4lRHLtf7t4B/vhfeNgBHYLgJf3m7xLt0IGAEjsHsEmI7Y+EG66eZbXnsvNAQJksTv/H5VXUi/vZmVhHgRzuIYCO+FISy8ARGb53mpCYd4iVg1IYdl6ljbqetneXktOQ/xYrENvvslYbU71tODcDHQZzAOqZJAGpgGpsE64aTjRzhEQXnwMmjKmPJ72yAAvuAEcRXJEVYiZqQUoZLHhjClUxirHebpSuWTV1KKV7nWj1VrJMeVUOF0HPxnxXtjBIzADhA4c+3atec70NOq4mb6kKbFCBgBI7AVBNLAfKl8emshukSa+HAyJCsSr/jx5Xr6YCJgpEEgcpAzPuwsycmcwvPt5PR/82oNAQSMlRBz4kXkB9ev114ZvCMSETGOGXhG4sXAHxIhAqE8pIOIEa7BquK8bRAAR7DDeyiPFrgztQ7PIvHgi2cSYZVJ4rkfEGJIEvsI+cE7Et5S+XXi2V8p3vp3h3+8F943AqcdgXfeeWfQSzQBGxR+KzcCRmDrCCwjYRkB07mUiBCkKhIvpdU2J2KEdyVeKkPbyeifETBdd9weHBxUr33xRT34J5yBPL9IxGJ6iAEDfn4IXhzSi0jEtN4/ioBIFLiBJQJRvT4jwF2IVReSFsuPZ2H9DYmN+OwS/3gvvG8EpoDA0ATM74BNoZb5Go3AlBFIT/TXFaYd8nHkK+cbElV/dHn27a+2srQCIWkhXuSlDE1hbMtXCp+yfogX3wT7k+RdwfOiqWcQKzwvECoRBLBjnzDiRL7IQ17IA4TNHq9SLVsME1GFtEqEp/ATySVe6SBOeM3AHA8WonyRMJfKrxPP/krxKsf6f1SjtE38473wvhEwAttHwARs+xhbgxEwAkMj0IOEccoiQpCrrkLavsQr1zEl/SJeTGv79rNn9YAejwoD/NIHlRmw84vEiwE/aclDXhOxvEaVj0Wi8L6ICEF6RIC7EKsuJCmWH8/E+g/fvRsC/3gvvG8EjMBuEDAB2w3O1mIEjMDQCPQkYUOf9hT0379/vyZOzxLx+n7ypIh4aeAvL1ZOxOQhEfGCBGiKInlLROztt9+eAqRrXWPEURkVJmJFuMLW9X7l+aRD21K8wqy/8X5tE3/dB2+NgBHYHQKz9b12p9CajIARMAKDIQAJW/ZO2GAnNm3F586dqwH4l5/+tPpoNo2thIiIGARAA3T2RbpKeUTEIGPkyRfnKOWZWpgwkfeF61eYSLDCCBfeeLQ4FiFTGjxneRhxsXyOJdIV4xVm/c20TrACE36bxl/3wVsjYAR2h4AX4dgd1tZkBIzAWBAQCWtZhGMsp3nqzyMuwmEP5am/3b5AI2AEjMBYEPAiHGO5Ez4PI2AEpoOAB/vjute+H+O6Hz4bI2AEjIAR2CoCfgdsq/C6cCNgBEaLgAf947g1K+4DH52Nqx6uOmnS6kO1q9I63ggYASNgBIzAEAiYgA2BunUaASMwPAKahjj8mUz7DFrugxbUYNGM0vLzOWgQL94hIi159L5Yns7HRsAIGAEjYASGRsAEbOg7YP1GwAjsHoGWQf/uT8QaawTC/RDx4hteWgadNCygUSJikXhpYQ4vP+96ZQSMgBEwAmNGwARszHfH52YEjMDmEQiD/c0X7hL7InBw8WLttYrES8vR58vPi4jJ4yXixcp7/g5Y3zvgfEbACBgBI7ArBLwK4q6Qth4jYASGRyAnX14Fcdh7MlsFke+APX78uD4XvgOGFywuP66TxNsF2RLhUjjEi5+W51Y4W5afh6j9YvauGct4v//++zGJ942AETACRmBiCHgVxIndcF+uETACAyGQk6+BTsNqjyLAd8DOnj1bXb58ufro+fM5+dL0QkgUove65BGTx0vTFkkjwkVeRN8Bw5um7yjVEf4zAkbACBgBIzAQAqPygNGJ6inlpvBY50mn9Rt/17/0oeINymjaXxv5sgdsg3e7R1HxO2Ah+7Nnz6ofvvXWgqeL97raPGNkFfGKbXiZZyyoq3dt/23/Y93J60ef49HYvw4n7/rv+j+1+j+0B+zLHdrlzpJw84dcPtj6jb/r3wc7a++5oq21vzbylZ+AjwdHAOJ1cHBQPXz4sPqLO3eqH6czwmsFuaJ+vPnmm1VOxHLi9fLLL9deL9qypit2IWJbq38dUbV+9z/uf05h/+P23wmBoe1fp5PccKJRecDoSFn1ahPCMsTI8zSdpatYv/F3/Ttl7e/q1eXNf+YBe/Z5VT37Y1Xtv7g8eYx9+ofmaN08ey9U1V726Guy+mcesEi8hPH58+erCxcuVHu3b9dBPKGHUKmNQsQQOm4E4gXR4n0vpPS+2DIiZvtv+6+6VVegY/x5/OHxF9XH489xj7/tATuGkStl1dPPUtwuwqy/efq8C6xLOoy/8dfiDetMpnzwu6p6/PtEwPaq6uJXlxMxiBfpnz5rauC6ec5+paounVusvZPX/+DBfBGOOfHaSzcDgWglkgWx4ici1ka8mkyH74tBuuQJE4FbZ2qYyuuytf2x/ZH96VJfNp3G9c/1z/XvjU03q62VNyoPGE+NjuuC1wpXZ86cqUFb5wmE9Rt/17/jTQEZS/u7NWv/Vzt6wLqQqjwNniwEzxlSImJ5nlIa8nZJl6c5FfpnHrCnT59Wjx49ajxeIl7gksKZkri/v19dSCQtCkQMkcdLcXqXBeIVByPyiFFHY7jy2f7b/tv+nw777/Gfx7/Y9VXjf3vA1PulraaUhKC1do9rPK2/mdKzFughsfE/Xufl+reh+tfjnS+mEV7+xiIRuvfbhlRd2K+qg6eHHi+Iz/kUduGlpvIfPKmqh7P4tjxtxEvNZ/L6E8GCZEkgXg8S4WKLsET9wxdfrH7+3ntzwlUiXvJwkQd7RJuCkEG4tIIicSVx+9tQ+yuB2yHM+Bv/DtWkNYnHHx5/tFaOkUZkbyIMe5bqJNc9C7nd9dRj3fxKb/3NIEV4dN0a/2bag+tf89Sta73J022i/b37s5+l+X2X8qI7H5eI0P3m81RVTrxUKESMXyRiyrOKeKkMbaeuPydetecrvQeGF4y471y/Xr2S3gOL73ppSqLe32Egr6mKTFMsLdwhvON2E/UvlrfuvvW7/yl9x25VPXL/6/4X2+Hxx/HGH6va2TbiR0XAeHrZ5ylG25SSdQGzfuPv+rf+U7SxtL9frNvgl6SPRAjvF0RKHq+2bJGI8X4YnjPK6SNT018iXhcvXpx7xfhGmNL8JC3U9HoiYthrJBIvebsIp17GFRJXETHbf9t/2/+Ta/9p88cRt/9pt//j1J2+eUdFwNadgsCcfr2I3ReAmM/615sCYfxd/0bT/npMO4xtv20fInRpTRK1iqi16SqFT0W/PFx4vCLxipgQx4eaIWJ30/TEb81WzMVuR+IV8/BkGBIWiRgDLcJzsf23/c/rxLJj93/u/0bT/y2rqB3jpm7/OsK00WSjImD5nP5VV8rTKi33uiptl3jrb5Zv7oIVaYy/698Y2t9xpx1Slx981qyCGN/tIrxNtCAG8atWTVQZmqLIKogXv6bQZjt1/ZAulpyP74HFpenjyogiYk8SEfuHmzcXyJQW2oBkxSXnIxFjylZJbP9t/0v1oi3M/Z/7vzH0f231c93wqdu/dfHaRPpREbBNXJDLMAJGYDoIbHLaIasZfvy7ZkGNNiIm4qUl6EFaC2+0ETERL62W2HZ3pqx/L618yA+JxEtY8WFmfjkReyOtdMgS9ZF4KQ8krETEFO+tETACRsAIGIGhEDABGwp56zUCRuDYCDBp6tfHLqXxSJ1Lnil93ysnYjnx0uIaqFaenIjlxEt5Su+F4RGbsn5wLBEvCNe5c+fqJepFwiIR+19/+7fVj9O3wSBaEjxfvP+Fh0IkLCdiSuutETACRsAIGIEhEDABGwJ16zQCRmBjCPzVd79bvf/xx8cuLy58IVIFEeMnKZGo0vL1Ss+2lCfGa3/K+llm/v79+4JiwdNFINMOmaLIu2IiYn+aPGLVq6/O88QphwQy7ZCwSMLY5yPMEDSLETACRsAIGIGhEPjSUIqt1wgYASOwMQTSNLRNiYjQ5a835IlyIVEcQ7ZKHqw+edrOt09ZffKMST8fYUbweF25cqVeiENTEnWeHPOuGPF/w9TDmUCyPk4EnIU48mW89e0v4kmH4BmzGAEjYASMgBEYEgF7wIZE37qNgBHYGAKbmo6oExKp0XGXbZ88beX2KatPnjHov1T4dpuWnWeLB0yrI+7dvl39KJ00hCuXuNphXB1RRKyUJy/Dx0bACBgBI2AEto2APWDbRtjlGwEjsDMEmI7YR+p3vD5L7yF93j0373jx6yqUzWqH6Mpl6vojHhCue/fu1T/2EYW9ceZMvaR8TM8+xIsph3zrS0tDs+VYKyDmeXxsBIyAETACRmAoBOwBGwp56zUCRmA7CDAdMQ3U1xE+tvz492EFxPQR5b0W65gvrvEw5W1bNZFzgHhRPunq47TaYv5tsanrBxdI1oP0fS+RLqYcatVDwv79Sy/V5Cp+UJl8LJ8s0hW9Xni7eOdLRCzGkc9iBIyAETACRmAoBFqGGEOdjvUaASNgBI6PANMR13krjCXk915oSBJEaU6qAhHLiRfvhSEsSc9CHfM8LzXhOfEitCZqqcxcpq4f4sXiGkgkXsJp/+7d6qN0EKcYQsQkJXIFMeOXEzHeBfNURCHnrREwAkbACAyBwJlr1649H0KxdN5MH9K0GAEjYAS2gsDrULEl8umthcgSaeLDyZAsfccrX9UwX6IeIkcaPGoSEa82r5rSTU7/N6/Wlw4BYyVEebyEB9sPrl+vIFhxgQ0RMeIhU0wzlPBNMLxe+UqHImKEm4AJLW+NgBEwAtNE4J133hn0wk3ABoXfyo2AEdg6AstIWEbAdC4lIpQTL6XVNidihHclXipD28nonxEwXXfcsuT8a198UX3yySd1MJ4rfpGIxfT5x5hffvnlOj1eMIsRMAJGwAgYgYiACZg9YLE+eN8IGIFtINBGwloImE5BRIiPJLPCYBeBiD1K3q8LYfpil3ylNKdef4GA6Vtf336W3I5J8H7pHS+OcyKWE688j4kYiFiMgBEwAkYgIjA0AfMqiPFueN8IGIHTiUDP74QxZfDi17qTL8CDqJFn1XRD0q6SKemHeN25c6f+phfkC+L14Ycf1u99xe94sbDGq+kDzHrHi33CEMgZaZmiSF7KwIN2PU1j1FL0qzB3vBEwAkbACBiBbSPgKYjbRtjlGwEjMB4Eck/YCg/YeE78lJ7JzAN2//79+h0wrvL76R7l73Xp6kveLuJyr5jSs9X7YvKi8Q7Y+++/H5N43wgYASNgBCaGwNAeMK+COLEK58s1ApNGAE9YTsImDcg4Lv7cuXP1ifzLT39afRQW1MjPTl4sCFf0erW9F0Z+fQcMIkaefHGOXIePjYARMAJGwAhsGwETsG0j7PKNgBEYFwImYeO6H+lszp49W5399a+rSx3PTESsY/I6GUQsrpa4Tl6nNQJGwAgYASOwSQT8Dtgm0XRZRsAInAwEer4TdjIu7gSepe/HCbxpPmUjYASMgBHoi4AJWF/knM8IGIGTjYAH/eO4fyvuwwcffFDx7ldXIS15LEbACBgBI2AExoqACdhY74zPywgYge0i4HfBtotv19Jb7gMLcTDV8O23356veriMiBHHyoisikiePtMUu56y0xkBI2AEjIAROA4CJmDHQc95jYAROJkItAz6T+bFnIKzDvdDxIul41lCnqXkkbj8fCRikXhpYQ4vP38K6oQvwQgYASNwihEwATvFN9eXZgSMQAGBMNgvxDpoIAQOLl6svVaRePk7YAPdDKs1AkbACBiBrSLg74BtFV4XbgSMwKgQyMmXvwM27O3xd8CGxd/ajYARMAITRWDo74DZAzbRiufLNgKTQyAnX5MDYLwXzHfAWIr+8uXL1UfPn8+Xi9f0Qr7hhei9ro8//nj+8WX2NW2RNPrwsqYp6jtgeNP4Bpi/AwZKFiNgBIyAERgSgVF5wOhEf7FiRax1wXr//fc7Z7F+4+/6lz5UvEEZTftrI1/2gG3wbvcoauYBy3M+e/as+uFbb80/tkw873Vho9u+5SXiFdswH2zmB3FbJbb/tv+x7qyqL13iR2P/Opys67/r/9Tq/9AesFF9iJmbP+TywdZv/F3/hlu+e2vtr418dRiUOMluEYB4HRwcVA8fPqz+4s6d6sdJPR4ryBX148033zxCxHLi9fLLL9ckjbbMohz8uhCxrdW/jhBav/sf9z+nsP9x+++EwND2r9NJbjjRqDxgdKSserUJYRli5HmaztJVrN/4u/6dsvZ39ery5j/zgD37vKqe/bGq9l9cnjzGPv1Dc7Runr0Xqmove/Q1Wf0zD1gkXsL4/Pnz1YULF6q927frIJ7QQ6bURrU6Ih03AvGCaLEUPcIURBGwOiD9LSNitv+2/6pbqi99tx5/ePxF3fH4c9zjb3vA+lq4lnx6+tkSvfVg62+ePm8d6BYFxt/4a4raOpMpH/yuqh7/PhGwvaq6+NXlRAziRfqnz5pKuG6es1+pqkvnFivw5PU/eFA9fvy4BmVOvPbSzUDwYCaSBbHiJyLWRryaTIfvi0G6RMRE4NaZGqbyumxtf2x/ZH+61JdNp3H9c/1z/Xtj081qa+WNygPGU6PjuuCZrkLneubMmRq0dZ5AWL/xd/073hSQsbS/W7P2f7WjB6wLqcrT4MlC8JwhJSKW5ymlIW+XdHmaU6F/5gF7+vRp9ejRo8bjJeIFLimcKYn7+/vVhUTSokDEEHm8FKd3WSBecTAijxh1NIYrn+2/7b/t/+mw/x7/efyLXV81/rcHTL1f2mpKSQhaa/e4xtP605PmY4jxP17n5fq3ofrX450vphFe/sYiEbr324ZUXdivqoOnhx4viM/5FHbhpaaxHDypqoez+LY8bcRLzW3y+hPBgmRJIF4PEuFii+Ade/jii9XP33tvTrhKxEseLvJgj2hTEDIIl1ZQJK4kbn8ban8lcDuEGX/j36GatCbx+MPjj9bKMdKI7E2EYc9SneS6ZyG3u556rJtf6a2/GaQIj65b499Me3D9a566da03ebpNtL93f/azNL/vUl505+MSEbrfzIyrcuKlQiFi/CIRU55VxEtlaDt1/Tnxqj1f6T0wvGDEfef69eqV2aIaImCakqj3dxjIa6oi0xRLC3cI77jdRP2L5a27b/3uf7qs1pnXK/e/7n+xHR5/HG/8kberXRyPioDx9LLPU4y2KSXrAmj9xt/1b/2naGNpf79Yt8EvSR+JEN4viJQ8Xm3ZIhHj/TA8Z5TTR6amv0S8Ll68OPeK8Y0wpflJWqjp9UTEsNdIJF7ydhFOvYwrJK4iYrb/tv+2/yfX/tPmjyNu/9Nu/8epO33zjoqArTsFgTn9ehG7LwAxn/WvNwXC+Lv+jab99Zh2GNt+2z5E6NKaJGoVUWvTVQqfin55uPB4ReIVMSGODzVDxO6m6Ynfmq2Yi92OxCvm4ckwJCwSMQZahOdi+2/7n9eJZcfu/9z/jab/W1ZRO8ZN3f51hGmjyUZFwDSlpOsV8rRKy712zbMsnfU3yzcvwyjGGX/XvzG0v+NOO6ROP/isWQUxvtsV63q+rwUxCF+1aqLyaooiqyBe/JpCm+3U9UO6WHI+vgcWl6aPKyOKiD1JROwfbt5cIFNaaAOSFZecj0SMKVslsf23/S/Vi7Yw93/u/8bQ/7XVz3XDp27/1sVrE+lHRcA2cUEuwwgYgekgsMlph6xm+PHvmgU12oiYiJeWoAdpLbzRRsREvLRaYtvdmbL+vbTyIT8kEi9hxYeZ+eVE7I200iFL1EfipTyQsBIRU7y3RsAIGAEjYASGQsAEbCjkrdcIGIFjI8CkqV8fu5TGI3Uueab0fa+ciOXES4troFp5ciKWEy/lKb0XhkdsyvrBsUS8IFznzp2rl6gXCYtE7H/97d9WP07fBoNoSfB88f4XHgqRsJyIKa23RsAIGAEjYASGQMAEbAjUrdMIGIGNIfBX3/1u9f7HHx+7vLjwhUgVRIyfpESiSsvXKz3bUp4Yr/0p62eZ+fv37wuKBU8XgUw7ZIoi74qJiP1p8ohVr746zxOnHBLItEPCIgljn+9EQtAsRsAIGAEjYASGQuBLQym2XiNgBIzAxhBI09A2JSJCl7/ekCfKhURxDNkqebD65Gk73z5l9ckzJv18hBnB43XlypV6IQ5NSdR5csy7YsT/DVMPZwLJ+jgRcBbiyJfx1re/iCcdgmfMYgSMgBEwAkZgSATsARsSfes2AkZgYwhsajqiTkikRsddtn3ytJXbp6w+ecag/1Lh221adp4tHjCtjrh3+3b1o3TSEK5c4mqHcXVEEbFSnrwMHxsBI2AEjIAR2DYC9oBtG2GXbwSMwM4QYDpiH6nf8fosvYf0effcvOPFr6tQNqsdoiuXqeuPeEC47t27V//YRxT2xpkz9ZLyMT37EC+mHPKtLy0NzZZjrYCY5/GxETACRsAIGIGhELAHbCjkrdcIGIHtIMB0xDRQX0f42PLj34cVENNHlPdarGO+uMbDlLdt1UTOAeJF+aSrj9Nqi/m3xaauH1wgWQ/S971EuphyqFUPCfv3L71Uk6v4QWXysXyySFf0euHt4p0vEbEYRz6LETACRsAIGIGhEGgZYgx1OtZrBIyAETg+AkxHXOetMJaQ33uhIUkQpTmpCkQsJ168F4awJD0LdczzvNSE58SL0JqopTJzmbp+iBeLayCReAmn/bt3q4/SQZxiCBGTlMgVxIxfTsR4F8xTEYWct0bACBgBIzAEAmeuXbv2fAjF0nkzfUjTYgSMgBHYCgKvQ8WWyKe3FiJLpIkPJ0Oy9B2vfFXDfIl6iBxp8KhJRLzavGpKNzn937xaXzoEjJUQ5fESHmw/uH69gmDFBTZExIiHTDHNUMI3wfB65SsdiogRbgImtLw1AkbACEwTgXfeeWfQCzcBGxR+KzcCRmDrCCwjYRkB07mUiFBOvJRW25yIEd6VeKkMbSejf0bAdN1xy5Lzr33xRfXJJ5/UwXiu+EUiFtPnH2N++eWX6/R4wSxGwAgYASNgBCICJmD2gMX64H0jYAS2gUAbCWshYDoFESE+kswKg10EIvYoeb8uhOmLXfKV0px6/QUCpm99fftZcjsmwfuld7w4zolYTrzyPCZiIGIxAkbACBiBiMDQBMyrIMa74X0jYAROJwI9vxPGlMGLX+tOvgAPokaeVdMNSbtKpqQf4nXnzp36m16QL4jXhx9+WL/3Fb/jxcIar6YPMOsdL/YJQyBnpGWKInkpAw/a9TSNUUvRr8Lc8UbACBgBI2AEto2ApyBuG2GXbwSMwHgQyD1hKzxg4znxU3omMw/Y/fv363fAuMrvp3uUv9elqy95u4jLvWJKz1bvi8mLxjtg77//fkzifSNgBIyAEZgYAkN7wLwK4sQqnC/XCEwaATxhOQmbNCDjuPhz587VJ/IvP/1p9VFYUCM/O3mxIFzR69X2Xhj59R0wiBh58sU5ch0+NgJGwAgYASOwbQRMwLaNsMs3AkZgXAiYhI3rfqSzOXv2bHX217+uLnU8MxGxjsnrZBCxuFriOnmd1ggYASNgBIzAJhHwO2CbRNNlGQEjcDIQ6PlO2Mm4uBN4lr4fJ/Cm+ZSNgBEwAkagLwImYH2Rcz4jYARONgIe9I/j/q24Dx988EHFu19dhbTksRgBI2AEjIARGCsCJmBjvTM+LyNgBLaLgN8F2y6+XUtvuQ8sxMFUw7fffnu+6uEyIkYcKyOyKiJ5+kxT7HrKTmcEjIARMAJG4DgImIAdBz3nNQJG4GQi0DLoP5kXcwrOOtwPES+WjmcJeZaSR+Ly85GIReKlhTm8/Px6dQKPIaQ1ipb5j2Gkid5FsCeMBU4k7BMW71GpfKVnW4q3/h/UDxQiTsb/dNa/eI+9Px0ETMCmc699pUbACIBAGOwbkPEgcHDxYu21isTL3wHbzf2BAPGD/Eo4htBGciWiJHIFQSYMsiThWHnzsFi+4tgqT4xXGdZ/SG7BJJJb43866l9sC96fDgImYNO5175SI2AETL5GWQf4DhgfUP7JzOMl4qVVCzWdMP8gszxe+gCzvGdcpJafzz/IzADWsogA+CHCk32FRXKlMKUDY7yNfGNNRCmmEVGLYZSdSyleYdZ/SG6FifFvPrx+Wupf3h58PA0ETMCmcZ99lUbACJh8jbYO8B0wlqK/fPly9dHz5/Pl4hnAMwDX4D4nYgxIIWWReJGWPBr8RyLGN8D8HbCj1UADWTwq8kKB4csvv7ySXMX0lMw9aiMKsfx4FtbfENmIj/GfTv2LbcH700HgzLVr154Pebk3b96cq8eQ8yRtk/L+++93Ls76jb/r3yltf23k69Nbne2DE24BgW9eLRb67Nmz6odvvbXgkcHTgo1msF4SEa/YhiEC/CAFq2Tq9h/83nzzzZp0ibyCCVNCwV4kGGKABwZciUe4J+COt5F98rMYCgJBBv9S+XWC2V8p3vqN/1Tq39TtzxDX/84770QTtPP9URGw/AXTTaDxPD1N7SrWv/iCa1fclqUz/q5/y+pHjNta+2sjXyg3AYu3YPf7GQGDeB0cHFQPHz6sz4XlN/BYMTjHO4DkRIw4SIGIF14bSADvy0i6ELGt1T+dxIrt0Po5PRGpGzduzN/rgjyBfRdy1ZWoxfIjLNbfENmIj/GfRv0buv1PUb8JWPCAxU42GuU++1QmZB0CYP2Hg5w+mMc8xt/1bxTt72rZwzKvqzMC9uzzqnr2x6raf3Ees3Ln6R+aJOvm2Xuhqva+vFj8ZPXPCFhOvEDn/Pnz1YULF6q927drsHhCiuclEjEiIvGCaEHGELwwpNf7MoQtI2JTt//gAwb2gtkLyEMMe0Gbbw/uygs7dfszxPUPTcBO3TtgGI4h5/hbv/F3/fseY7lBJLa/dSZTPvhdVd37bfr9c1WJWLVdAPGkq9P3yIOuXCav/8GDudcL4nXlypXqYloVcW9vb75qJcSKQSHeAe4zxIsf+4QRJ/IFvngOGDzlC3cwpWlbEuvftnQsK/e4+vFA4cWC5MqDKExFdNEvGxfJrdIpDPzzdKXy4/WU4lWu9R9atBxXMBROxr9ZoOMk1r/YFvrsH7f999EZ80xdf8Siy372HLZLlu2lwXDI6PfVgmHCiPcR6zf+rn+H07b6tKGxtL/DoUq3q7iw33jAnj5riNV+Gvdf/OqiRwziBVEiDYInC1knD+WiK5fJ68fTlchW7fGCdM3k6dOn9ZTE/UTGLiSShjDQ5Ae50nG9M/sjnME63i76AhExjrHxGrzGPOxP3f6DASRWRAcihvBkGtEx+7KTYCrR/YjplFeYl8pXfraleJURy7X+xk4b/9NT/6Zuf4a+/miHdrU/KgIWDWwfAGSU++Qlj/U3HW5f/Iz/8ciL69+G6t+yd75aKjfTCC9/o/F+iWTh4RJhOni6SLzOJxJ14aWmsIMnVfVwFt+Wp0To4qlMXv/+frWffhKI14NEuNgijx8/rh6++GL18/femz/p1xN/5YEA0IlriiL2iDZFeCRiSp9vp97+wAP8EAb2EFdEOItgQZJiOtJAkiBuPAGP6bkX4KqHojGfyie/pBQfyyOd9Rv/WE+oE6eh/k3d/gx9/dSjXcuoCJg6yXVBwOiT98yZM+tmXUhv/c3T4gVQOhwYf9e/sbS/d3/2s6q6dKlDrS0nKRGh+4+btHi8IvFSCRAxfpGIKc8q4qUytJ26/px4QcrwirEwB3HfSdMHX0kkAYIQB+YMyES86MiJgzBACniniTARMWGdb6du/5cRG/ADHyQOfkWidC+iR0bplhG3eA+sv51YGf/TX/+mbn+Gvv5oi3a1PyoChsHu40U5zrSnCLT1G3/Xv/W9eGNpf+tOO4xtP9+PRAjvV+0JSyRrmUQixrREphVSTh+Zmv4S8eIdMHnF+EaY0tQfa05ETAP8SLwiyaJe8mQcctCFiNn+2/tFW7X3z97P/MHCsocIm/S+efwx3PijTz993DyjImA85VlHeGKm+err5GtLa/3Gv61ulMJd/0bU/ta0HaX7WQqDCF1ak0RpamKpvHXDpqJfHi4IVyReES/i+FAzROxump74rZZl6WMenqoyQIpEDKIlb05MO2X7b++TvU96oCEvpoiFvW/b975hh6Zsf8Zw/bEv2NX+qAiYpjF0vXieFmi58655lqWz/mb55mUYxTjj7/o3hvZ33GmH1OkHn6X3jH5fnmIY67z2tSAHx/liHUqTbzVF8exXUp6vLcZOXT+ki6mG8niBTlyafr4kfVqgQ0TsSSJi/5A+YxLJlIgEg0kGkvJmRCLGlOmSTNn+x8F329N/MIvpONYgfRfvflm/8T+t9Y+6PWX7M4br5xx2LaMiYLu+eOszAkbgZCOwyWmHfAfs4981C2qU3vUCKREvrYRImBbeaCNiIl6Uv0ymrJ8VEOsl5xNAkXgJLz7MzC8nYm+wCl96zysSL+VhsMYvJ2KK9/b4CPybd945fiHHKMH6jf8xqs+xsw5d/+j/bhz7KlzAUAicuu+ADQWk9RoBI7B7BNabNNt+fnikLn+9eddLROjOQbOwBrnit78gX7wTRnrl0VL08TtiEC/KgNRRpvLk3i/Kn7p+MIB4sfLhnTt3Fr4JxrRDiBcCCSOedKT/TZoFwZPjV199dcE78+GHH9bEizyQMOJJB1GzHEVA087AShjpvZf4ZD6mS3Omam/k3TQ1lPfwYno8YrwegIcMiflUfjyLUnwsT2ljOus3/njDT0P9U/1eZ/vdv/qrOnk9A2SdjE47GgRMwEZzK3wiRsAI9EHgr7773T7ZjuTRwhciVSJitz5pvFwLxCstWU/6PI+IGHly4sUy96Rvk7ysKelnmfmceOljzAyymKLIcSRiLyYilhMvPrrMwJ0ph2zzjzCTvs+L7m337LSEM+1wgdykCwND3kspEam/SEQNAoxwb3gSD3mTqCyRt1L5Ssu2FG/9xn8q9S+2hU77+TvP+XGnQpxoaARMwIa+A9ZvBIzA8RFIT9s3JTkRolx5r9pIVJ88befbp6w+ecak/9GjR/XpQLBEvDQlUefJsYjY3zD1cCYM9kW89P6S4jjOiZgJmNBZ3Io0LfOCgec/zbyRLJyCQJD5sTpl9Fptwwtm/cb/tNa/xda45KiFbG2uB1yi21EbRcAEbKNwujAjYASGQuD1DSsWqbma1mxoI165yj558jJ03KesPnmkL9/2KatPHvReSt9uu3r1ak2wRLxY7fDevXvVrVu36i3HyN7t2/VA//nz5xU/Bv0iXkx5w3PCNyHZagqciBjp33///boc/y0iAEaRhBF7xAuVBn8sloIwHTR6wQj7d//lv7CpRWVt1Atm/cb/lNY/tZul2xbypTyejigkTsbWBOxk3CefpREwAh0Q6DsdsV5c47P0HtLnHZTMkvCOF7+uQtmsdoiuXKauP+Ih4gX5EulS2BuJWIlUxTwiXnx0WZ8mYctxJGIxj/ePIiDSVPKC/av/8B/qDBBkTQXNvWAQsoM0JRGBeG3SC2b9xp96dZrrH9fXKivI1zxf13TzDN4ZCgETsKGQt14jYAS2g0CP6Yh8bPlh+t152JCkZUQsLq7Be15xsY7SBYl4UTY60JXL1PWDh0iWiBcDLd7ZwjPGQhzfTwOLnFTlxIt3RliAA0/XjRs35gTARCyvceVjvGD6HpGILASW6U0iw+Q8d+5cXQBeMIk8Y3W62SCQvIimfZbKV362pXjrN/5TqX+xLSzsr0mqwMsyfgS+PP5T9BkaASNgBNZD4PWUfJ1OiCXk915oCBIkiV+9FP1+Cp9ZSYgX4SyOgfBeGMLCGxCxeZ6XmnCIl4hVE3JYpo61nbp+VjXUYF5PuDWgB6P9u3cr1tODcOFZERETfpAGpiJqwE846fgRjkdHefDy6F0l5fe2QQB8wQnP1fe+9706UB4t3vOSxHf2FCZvmO7bs29/u/ogLZSCyLNWKl/52Zbirb/xKBr/01//YluY769JvpRvnf5PebzdLQKzocVulW5KGx0ETzolbfuK3/TW+o1/W52L4ZuudyrP9a9D/evYeUGyWAr+QurjRZpExPhwMiQrEq/4za96+mAiYJGIQc74sLMkJ3MK13bq+sGhRLwI/+D69er1tHw83hEIFoN0fpArJCdeLHMOiRCByIlYnWkDf6ex/QlTESaWehcxZgEUhGmGChPZwuvFTwtykA5CxiCQBVO4d8iR8uvQw78j8dY/x9r4n/76d9gSZntL+q+zZ8/WswOUh5kCkvk++XvMCFE5y7an0f4tu95txJ25du3aIYPZhoYVZd68eXNFCkcbASNgBI6BwJJOrPr0VrHgkvcKUhWJV54xEjHFrSJeSpdvJ6P/m4eDhhwDBvCvffFF/Y0p4iAF/DSYz9NDvPB08UPw4pBeg/o8vY8XEYDUMlUT3OpvdaV2wz1ghUmIFdNAEXkreQ9MpEDTRklDWkganxVAWNWShVOOlF/HHv4dibd+4z+h+nfYEmZ7y/qtI4lXBGyJhK3QOvrodwb+kPyJ9oCN/u76BI2AERgeATqfNTuz3CN1LnnBWOFvmWgFQIjYo+T9wpum6YvL8pXipqyfQT8elm/PvjOlbwGJXOVELCde4Kk815P3jHwmYqVathgmogpWai/ydIloreP9onRIGp5NyvtBWkAFqcuv9xb/rL/x6Br/ada/hdawZn+1kLd0QHkmYSVkBg3zIhyDwm/lRsAI7ASBnp2PiNAq8hWvgbRMZ+xLvmJZU9IP8cJrgscF8gWJYkENPCOlDyozYOdX+hgzechLGZ+k71NBxPCc+d2vWLsO98FL7379YLZMP/cDwpVPKyTXnFilfTxiyCqS9t9TG8S7JqJVZ5r9Wb/xn3L9i21BDz8WwjZxsGlSt4lzmngZJmATrwC+fCMwGQR6krDJ4DPghd6/f78mWQz4vx+IlxbVEHnKiZimG+I1IA6CpSmKel8sJ2Jvv/32gFc6TtXC8ZdfOhwS5N4vzlxhq979Im0kaZA5JJZfB8z+rL+ZNhvxEdYitkClMON/oa45be8eEnmS6l99MfxtmyRtu/z5hXinCwKH1rZLaqcxAkbACJxkBEzCRnn3WNacl8q/mHm8RLzyk82JWIl45XkiEePFcS3Okaeb8jGY/Drhr4E9WHA/GMTiAZMQxkez62mFKZAtYZEk6F7GshbCCoNA6zf+U65/dfsqtAu1u41ud6Vnoyd9OgvzIhyn8776qoyAEViGgDqhlkU4lmV13AYRiItwmBxvENg1i1J7WDPbsZLH+239x4KyV2bjfwjb1OvfIRKT2ht6EQ57wCZV3XyxRsAI1AjEwYchGR4B34/h7sEQg0+uVnq13TUC0qut9e8WAeGu7W61u/4Nhfuu7/OI9XkVxBHfHJ+aETACW0SAQb87oS0C3LFok6+lQH3wwQepmr4+f7dtaeIUmX8HbWn6V5qVCZem2Wak9W8T3dVlG//VGG0zxdD40/+tsL9btT/bxPYElG0P2Am4ST5FI2AEtoTAis5nS1oPi7X+Qyy8t4CAFhRh0RBWemT1wPr7XAupDg+I06qQ5NH7cocpsj0/fMgA8aERmCACLXZg6/ZnglDnlzwaAgbLzlenojPJl6wlDWkldDqEsYythH3CYmdVKl/p2Zbird/4u/79IDaTul2duvaXSNDjx48rVuKLwvLaWmJb4aQhrYRV+whjNS4J+4QRJymVP3/yOCL98Tp07qUt1yZ84nWW0ipMuMzxG5p86sRGttXAh6XzWUIf7xfCSoElIhaJl1YTXLn8fsuga2RQ+HSMgBHYBQLBHuzE/uzimk6AjlERMAZ23HwJx3QokVyJKIlc0UERFgfKHCtvLIuwWL7i2CpPjFcZ1n9IbsEkklvj7/pHnTjp7e8//9t/WxMrLZeNTYAosOxzJCUiUiIdbAmLRO3Ro0dHyjoSlpGPsei/d+9exS9eM1hIRLz4XhfY8GOf6xcmSqstZalcsAKLOflUIm/nS+hH4rWV76CFwZZhNwJGwAiAwMHFi7XXfOv2x3DPERgNAau//p5OS0/wOEOFxcGdwpSOJYZ52sdH/ESUYhoRtRg2v/qwU4pXmPUfekGEifFvvtvi+nd62h9+Bn1nB9PAEtxIJFcKE1HTR2ohGSItWn6bskRKYliJfNCuhtT/fvr47v/3xo16WfFImHRNOfECF7AQHiUilpfDkuV4cC5BwCwLCPBQqzTw0XL8mk543O+gfSd51XJP78KJ+MAIGIHJIYBNwLb8ZOZx14OfTdsfbBy2bqWQ5kx6P3UTvy76Vp7QdhKMhoBpIItHRV4oiM/LL7+8klzF9MBEZ9VGFGL5EVLrbwbSER/j7/o3tfb37eTRErmCNEEaIBIiIpFIiVzpG0giauQRMVFZImqUL3tVsj9D6edcaO9X/vCHmiTpuuW5kseLdFzblStX6m8/ce3s63pFxJQP3ES8SHchecosRxHQ98nygY+mF+rhYk7E6OfyD1CTlnuph4/0bYQ9uXy5/mYX3+SyGAEjYASEgL7TdznZiI+eP69EvDZpf7BtsnPS27pNdm1jssmyNnZSTUGj+g4YncSbb75Zky51HgxWYM14udQJ0bnggaHz0WCGCoMXjJvMPvl52orQQdFxlcpvYGj+S/HWb/xd/ybY/r75zdooQKCwHxAoOicEogXRgHSIfGnaHmlICzmDtCAQD0jIR8lm5fatTjD7W7A/A+iP55IMbk1EoxeP6xUpXUg7O+CawYs8iIioSGvJ8zfLWm+wtdjwTQqeva4ytP54nvRf9HGaaUAcfSDnqMFRTM8+9Ye+MWJIH8nvlfSh5aL4O3hFWBxoBCaBQPwOY7hgbPkP33prc/Ynjb9XSW5//zK92vDGqkyr4pPNTIaxNdXQ3wEbFQEDJRGpG2k6DJ0JAnnCM9OFXHUlarH8Wsnsz/obIhvxMf6uf5Nsf7PBO0SKDmkZudJ0u1ailogJUrIvM9NzNH6H+rG1vMvHYF12FxKG8N4W1wWhknC98vhBQomXgBXxZ8+eVVD9zhcdLISCp6Ds58LUFM5hk/I8Pc3tKkPr5zxLxAu8IFe0QSQnYjnxwmtNPROWUNpW8mwCVmPqPyMwSQQyApY/RKMHOK79Adf5g6AlRCy3v/jAjvYSlLaGJB6ROrTWDCZgN28ugLPwFDg9BUTorO2FmKAXwvff9X/o9j/zBB3HC0Yn1tsLvyP9kC55WxjAz4nYjITVFTH9iXixjQIBy4mY4n+UiBVli0BQdomARZKhvH23es9gHQI2pP4S8coHLSKwwhEihsjjtXDfUjhlfvHaa3OPJGmPELEZAXv2eVU9+2NV7b9Iqm7y9A9NunXz7L2QvKPZF0it3/i7/g3Q/mYELCdetOy5rbh9u27ofewPdl/9CoXkNq0uePZXsr/fO+77WysewA1NwEbzDphuBE/u6FjoZPQET09k1dGQFlaOxJurdArDc5OnK5VfFzT7K8WrXOvnWWojOa6ECifj3yzQ4fp3CtpfmhKnKXSRdOg9Gk23o/4rnd77wmN0I7NTJftCXsmR+B3pp3NlhoFsLw+8qL+QJ4Rrj+91ydMnr2AeTx5weOXTT48sLlEiX6TfhEBCZJs2Ud66ZfTVD96ymwxSIOzgxD2QYF8hVcxOQA/9ET/2CSNONpg8TDssvaMnz6XKZfvgd1V177fp98/pXs+IVYyP+8STrk7fIw+6crF+4+/6N2D7m02rp11CvPSObz3rYfagZ237Q/+RbBi2DJuGYOOwdV3lo+wBYNd8pDu292wdZT3TZs+hepaywWx0IiI6esIHM0Z0zL7ImW4sYerYYzrlVadcKp+8klK8yojlWn8zVcj4N4aF+uP615i82E7Udk50+0udxpfSu6lxml29lHq653RWEhGvebo0OP5oNoA+1vXvSD/kj/vFj84WO0xnSXepRy8lTxckDALGwF5EDEwa/8zRKXPCK9/SOcuu5nFdj8GZ6+gjQ+rHjkKk2EbSxb3gvGhTIlds+cneKFzXTPifvftu/UCA+8UgCiLGAwLqqB4eKD3bC2kGKR6Ip+nTdQyE99Ns04tfXXwiD/GCKJEGwZOFrJOHctGVi/Ubf9e/9drSRtvfbMEpbEQ+1RybsY/9mC2g1MX+0Hdgy7DF9YO8ZJM4xpapL8xtQMn+0oe0v8GVl7B4zAi1ffLhYtqhjkZHwLgJSOyI1MGow4EkxXSkp6PS08CYHk8anZc65ZgvdnSUgZTiY3mksX7jH+sJdcL173S3PwjIk9QJIUzXkOdLXi+IBz86rzosdUDYq03Zn13p5/pKROz7yYb+/ZMnCySUtBIG+pGIfSthgd0FA9lepW3bRuLelmZZ+HHJ25D6wSjiFEkw18y1YXPoF9UfaStMwJo0LCX9OAXq3T1NDRURU/q4ZRrh5W+kAWAgWSJikKODNOM0Eq/zKezCS00JB0/S5xtm8W15SoTO+g8RMP6uf4O2v2S/5w8OU7WMD9SopdiShy++WP38vfdW2h9NkcZmxT5AROyw1i/utdnf36Sx/Suz918Xc7QfQdroM8cuo1qEA2LTtnIhN4dOCaHjUWckUkbnBQFbd/GIeIOs3/i7/r1aN4n8nSW3v5n9SXZo2SqI1B89KaTDoTNatnjQ2vZnS/r1AjQD/PjwK55fvZ/05+8LzN8V0CIdyQ7noodW2G2egJZWJ8S+q/PO8y87xnOE/T+TvhmjstlHdvEO2Kb0c7458aLd0d/Rz9G/IfKUiYCJeIEdKRhIydvFQAohTESsDtBfyyIckYgpKU/cI/FSuLYiYngyJKuIl9LlW+tf9DaCj/F3/dt4+8sW4ciJV8mW/PnMU1+yP9TTks0iDDsVHzKRNkqb/X859QtvzBwzMf2yfSbO4wFbZf+HfgdsVB4wOmckDgDiTSZOHbnSseXG2fvVvAsQ8aJDpuKr0pfwBT9JKT6WRzrjb+9frCfUiUm1v/RU7+Hs8xZF79dsmgadzVba35b0Q1zkZeH+lohY3fbTVMy/yDpDvIH8IGJf+uUvq8O3lg7theoM9WWdKSikXyWUJxu3Ku2yeM6xjxdtE/pLxCsOWNAR08R3xkRa72Yki1Uo44CKd/haiVgGTPTI4P2qpw7OPF5Z0vkhHjF+EDG8ZXjO1lmgY15Q2rH+Q4+Q8Xf923b7i3aCdpjbiWhL6o81h3dWZX9ykpXbLD7BkqeJbX6Z/f04JYz9Ssx3ZD8RxA/W9JgdKWNHAaMhYMsG9qtIhEgCgwaJOnw6MaRUvtK2xWtgaf3LSZzxb2Yau/5No/3xmOifEtnQXHktasD0jCszo7JN+7MN/XSWeD057/ijThMncsblSb8IKO8IQMD+lO9/JXJaykM+wvmVpn4Tj51dR7Dp8gqtk68t7ZD6wZxr4Rwi8YrnCsmkT4pEjHjytE0PZSAVp4Yy0OJ+Xbp0KRbdug8RupR+64imJq6Tpy2t9Rt/17+21lEO79P+sAnYhpx4RQ3RltxNDxq/NSM569osbF3pgdky+/tJsvWvFGZWxPOb76f+KnVi88Mx74yGgHFTkNhBa2AvEkV8TMexSBLTMmL6bTx9tn7j7/p32E6n3P7w9CRmUndadFxMy/hNmiqGYK+2bX82rZ/z1hx9bDD1PP6IRxZI1IwwMbWN8/nLLnmaYor/st/FyEIgpFDLzRei1w4aUj9T58E2Dkz00JD7EHGPRIyLfCPlSyOn+nrj9NA4NTQOnvTgIAL04LP0nsfvl0/xiuk1RZCwfLGOmC7ua4ri2a+kPF+LMWm63WfWb/xd/5ZNMYwtZtPtT4v0YCckq2zJk9Tv/UP6jNS6NouxekmW2t9EwHi410mwhzM+0Sn9gIm+NKBuqzYCRsAInFwEZk/k1vPbbPByN6ifwT4PsxARsbh8MASAY8ilPFgfpU4O8plcN93zJB3osiwiAKYayIAPgxHeJ9QDH7YcEy78SF+Tr1QUgyU8sXw0XAvEsOWYcOIRBlglAkYc7259/LuqunPQTCMkLBcGflqCnmmGWgFx2fL1EC/KpOz4flhetvUbf9e/YdofNkHkax1bIvuzjs1S/5G3/6XHrCaMZ2uVkGa28vCqpKOIv3bt2vMhf+kluVpS5/48AVL/2EfSy+v1cXJN1sf8pYFAHcZWQjx501NEBT1PLLsOowykVP48cUu89Rt/6pXrn9ufbMVptT9pmuHc1spm6przLfGyuWof6+RB1yYkLeRRn7PK41ziPsfblE3rp49S/eLc+XEMtqVw0vNL02Gfp8U35j+On1y+XAz/w5Urz59fvXr4ezlhNPs9+Xr1/O7eYTm3X6ie/8+vNvF5HOkIawunTPJShs5NeaQv3+ZlWb/xd/3bcvsLtgDbsK4t6WOzettkxvLY9CW/9N3NunjZz1W6huQ+6B6NBwxWnDqZhNvhNDee8KWOvp4br6ezMY2eBGqKop4WUobSya1ZKp90klK89Rt/1z+3P97NOe32B3upus7L0tg+XbNsJMeEE69Fj5hOwn7XPOiQbVa53jbLzEePFxilwc38fTD6OI6FnTxi5KnfvUsgMuVQH1DlaTbTijgmHJFHjCWlS6KFLy5/vVn0QB6pW5803wbD28ViAMSzZDbp8zzyiJFHHq88T0k3YXlZ1t9gaPxd//i8wzbbHzYhes+72JIXk3e9j83qs9BRbTNS35OWgG0zHxXzKtLDnpMlQzPAyFBh0wm9+sc+wtM/wlLHPU+aOqE6jK2EeNLZC2YvoOqEvaD2AmMT5J0p2RfVFbal+CnZHzDgemVLZXfx9MQw2lW0s+yrrbXlIb/uA3o2IZv2QK17TpvULw8kfZr6vrbzIV59IHjP84Sn2QterhQen27/+uzZogdsmUdqlfdKeaMXq2se5c23fcrqkyfXq+M+ZfXJI335tk9ZffLkenXcp6w+eaQv3/Ypq0+eXK+O+5TVJ4/05ds+Za2dZ2YzsAl4qvGAHfGSZ3aF+KL9aTNYKTzaLM1SWJK8PYpZbuk8S7/kvll7BsTQ/Gc0HrDUkdTvEaQby+587ru9UPZCpcGbvaAT8MLYCz3sLADsrjxfiSzNPWIsdCGPVyJb9TtImllAHr2XRJw8YspD26Usec9IbzmKQCJzaVTxfPEdu5nHkW+a6b6Qk3aCR4z0C3mSjeCdPJabv3XrVr2t39FLeXjHA4/Y1atX11oBEU/X1fTQWR6vo2e+GCIv1jp5Fks4POpTVp88hxoX9/qU1SfPotbDoz5l9clzqHFxr09ZffIsaj086lNWnzyHGhf3+pTVJ8+i1sOjPmX1yYNGVkXFNmAj9I5oqy25fbtsf1I5svPLbBa2rrcseQ+M736dNBkVAQO8SMDyKYbq9JcN1Fh9TFMSSa8BgabTlMqPN60UH8sjrfW3DxSNv+tfbC9uf80UvbHbH85PRAobpwE/5Ck9saw/cK8XrYlHuM+61xwrP0SMPDnxUn5hQR7LUQTAB/w11ZMUy6Z5Eq88LyXyJdKlARSETGGkLUm9qtpnaZGMz0ux5TAW1+DXVSib1Q7RlYv1N9gY/7xmtB+7/m2u/UWUS3ZDYW+kh0El+y37s47Nijo777PAxsxJs5AnhaVZzydORkfAIDc8NUXodBA6I0TH7NPBI/G9LxG0mE55Ne+0VH5d0OyvFK8yYrnWb/xd/9z+Tov94Tr0XpGIFPUb28cTS9lWwiBd2Ek+BsyP/ZyIkUd2U8RL7wtEzCjP0iCQD2J4eAGZxcsVPZLxfbs8D33nF4k08zQbvHmarcHTMiLGx34fpt+dh6uJQFzVcNWqdVyZiBdlowNduVi/8Xf9G6790R5zO4HtwIZgS/iW4PdnM5FW2R9sFTYrzoiIefK2v/ZxyQtWClu74N1n+PLuVS7XSIcC0aHzEclR5y5iRgkiVPJYEaZ0CqPjz9OVyievpBSvcq2/IcZgleNKmHAy/s00Wtc/t7+8nZTsC21HUopXu9qm/VFnKSLGlnbMD4KFcB6E4+VGdD7Ya4iY8oisUf9VXp0h/alMHXvbIABmYIXQ94GTcCQMMkvd4Ec4mDOokXAvuD8ivSlBdSGF8bFsfShbAyxesGeqURS+5bX3QkMCGAjzq79JtJ/CZ6MEiBfhWkqexTUQFgeAiM3zvNSEQ7xErJqQwzJ1rK31G3/Xv+HaH5+q0OcrIF7YCGyHZP/u3YqPlHS2Pyktdoqf+g3ZLGyb+jSVv9YWh0yybdi4WtifOWnWKmcEiWemdQRnMjsFdTrcJIk6Jt00dezEK50GLnRE6oSUjzQaRJTKlx62pXiVY/0/qqEy/s3AEjBc/5p26vbXPDg6qfZHXizqM/Yu/ngQxv2NxAtbKDsbO2URMeJEPtVOoh2uDckx/zgvnrRK2vYVv+ntpvWXiBfnDI7UK+4RuIK3MCc+3guOsc8Mdr7HACXlYyAViRhpcoFk8XHkC4lwiTSJiPHhZEhWJF7x48v19MFEwCIRg5zxYWFJTuYUrq31G3/Xv+HaH+2wRLwI/yA9XHs92ZS17c/MK8WYmh92SmNpyj2WULYI2EzPru3/sc5fmYdeBSSBNpfkuqQ3rVfUUmB6MluHpQ5IQfMVWFKHPg8jnryUgSxb0Sx1dPN8ccf6jb/rn9tftA9Tsj/RFsZVq2gT/LCxsq8xrfaJkx1WHmw0ZVnWR4C6R13simV+z8hLGfmKiAvH4TtgcRW2P5xPK6LtH37DK1G5+hthrLIW08X9uAIb6flRBmXFdF32rd/4u/7toP1lKxxG2/A/X311M/ZnfdPXLQfj+JaxfLcCng/6DeRRfQcsdTL2PqWnBAhPiiV6YmDvm71v1Al7H+19lE2QncAbgscjkZ+5Vyqm6eL9x8vCyoWUhcgjlgb1tT1K5KqOk9eLeqgnm+wj8s6QlnMjL3ZL+ikbHdEzVmf03wICwgxvIl5H7ivCPeWdDHAX5oTrXugdO8LIQ976Hb1PP62nIRLeVeSRunK+mTYYv/3VVoZWYCMtHi/y4tXQFMa2fKVw62+wM/6uf7SlXbY/pizzTbA/SfZ7I/Yne0e41N57heH5mnm/euUfQ6axeMB4eprwsPcrMPopPX33/Xf9d/sfzv6l6XRzTwteLNpjSXIvC/eM3zJPF2VRptKiy3IUgdzjFe9DCXcw5ydc8/uQ4357b+85T7XjU+4u3iinWd+DZ8yM2YmoA8EDhm3ARuC5xpZs2v7MPfJHTV+/EGZWHHN2xdD8ZzSrIMYntunm16IweX8IVBhPWJGuT3/zfHXm8FeKV5j1N94n4BImxt/1j/rg9tfN+5S3G7CLUopX2C7sD6sWJgIw/2xHvmpVycuCDZAd4Fxz7wx1A68YZeGhSx1wreNY34GJoJ2ifTyD0eOVyNOCxzH3SHLpYK46wn3IPY7RI5kGU9W3nz2r09y/f/8UIedLMQJG4LgIYBOwH8+Sjfh+shXbsD/yyGPrNiIsDjVbIGoj5Q1QyGgW4eCFZoTpFRKFadoL4YTx07QWOnWONRBQGm52HkZcLJ9jiXTFeIVZf/MZALACE37Gv1kZzvXP7Y/2kNuak2Z/aNvYPn4QPgb2WrWKwTv7Eq6Vn2wA+yID2sY8tBHSRNuqsrxtEFBfA06xv8nxERET5sSzr3uRp+dYRAxCfCPd17/+1a9KyRxmBIzARBE4d+5cfeX/8tOfVh8tWVHwuPaH/kG2bqJQL1z2GVxwCyE7Prh58+aONVqdETACRsAIrEJARAwyiTDQXzbYx0smAkZ6Ey9QGKkkUl3Lp7dGeoI+LSNgBLaOwDevHqoID9kOA0/33jvvvDPoBZqADQq/lRsBI2AExo1AXAa9y5lCxPCY+UlnF7QGTAMJMwEb8AZYtREYGAERsAmSL5AfmoCN5h2wgauh1RsBI2AEjEABAYjUsilueRbSmnzlqPQ/hgBDarsKaTutNDnRQVdXHJ3OCEwCgRV2YGv2ZxLgLr9IE7Dl+DjWCBgBI2AEjMDOEWAKKGSWl9bzBU5KJwPx4j070pJH72uU0tZhmobYmsARRsAInHoEWuzA1u3PqQd29QWOhoDBsvPVUfRSeLwM0sSne3Q6hPGCsYR9wuJTw1L5Ss+2FG/9zUv5ESfj7/q3jfYX65j3d4+A7F+0o8vOQoN9bGS0s8vyyC7H+rMs/VTjNPCJqyKCBe/XlYiY7gVxpEFYBEWrjhWJWMugq87sPyNgBKaFQLAHO7E/00K39WpHRcDomLn5Eo7pUOKgQAMFdfp0MoQxEJBwrLx5WCxfcWyVJ8arDOs/JLdgEsmt8Xf9o04ct/3Ftuj93SMg+5cvP5+fST7YbyMFMR/2k5X4KFt6Yrz3GwRKAx8tB80S0SyAgkTMaXeReJGGtGBO3iIRC4OtRrP/jYARmDoCBxcv1l7z+OBnK/Zn6kCH6x8NAYudi85PYXFwpzA96aNj15LHIkoxjYhaDFP5cVuKV5j1H5JbYWL8myfNrn+baX+xLXp/9wj4O2C7xzxq5KFWaeCDfUHkxcqJmOwwdpk4kTjykDcnYt+5fr3yd8BAx2IEjIAQ0HfAfpIcGoynRbw2bX+wcdg6S4PAaAiYBrJ4VOSFgviwlDErai0jVzE9l0Vn1UYUYvmxElh/M5CO+Bh/179dtb/YFr0/DAK0dx5YlT7IXPKyYHf55aSAtNjT/APM8p4Nc3Xj1sqiJfzygY8wU/+XE7ES8SKt7iVXzb0g7Mnly9XZs2crffNn3Ij47IyAEdgVAtgEbMPlZCM+ev68thno3qT9wbbJzu3qusauZ1TL0NNJ0Gkz6OPGI3TwsGZYuTohOhee/NH5iHzRyUDUuMnsk5+BAMIAgY6rVH6dYPZXird+4+/6t5v2R1uLH/yNbbPvPp6drjJ1/TlO4IGd5aEMgr3lhy0tCTaX9PLKrPsdMON/iGqOJTH0gWBE/1YS+i/6xtiG5vcskbuieBn6IiwONAKTQEDL0GcX++zZs+qHb701t+VEH8v+tPQZUe0Q9n/oZehHRcC4GSJSPIWlM0Ho8BkEdCFXXYlaLL9WMvuz/obIRnyMv+vfLtpfvsBLbJd995+np3ldZcr6sbW8n8WAXXZXuBGOXY3ES4N90uSkAPIACciXoicd5Ixw9nOZMv7CokS8wAu8RYTzgZDuhYgXxJd+jPuG/CL9zp8/X124cKHa29urw+Z/JmBzKLxjBCaHQEbAIF4HBwfVw4cPayj4XPtx7Q8FzR8ELSFiQ9h/E7CbN+sbrT86E3vB7AW0F3R6XuA4yJQ96LvFmCPrELAp64d0dfFc5YN93Z+cFCicrYiXCASdcYmATRn/EvHKBy05jmCOROIVCTRlfvHaa/PBFGmPELEZAXv2eVU9+2NV7b9Iqm7y9A9NunXz7L1QVXtfXtRh/cbf9W+A9jcjYDnxonXObcXt23Vj7WN/4owICsltWl3w7G8I+z80ARvNO2C6ETy5o2Ohs9YTPD2RVUdDWj1d1aCBMKVTGE9s83Sl8skrKcWrXOvnWWojOa6ECifj3yzQ4fq3fvubVa/eG4i76mbvQo6R8aTqp3NlhoFsL9Nuqb8iSnSO2Ea910U60isPtpE40pAWIS9lUBb2XHlU5jFgbs16UvEHI9lNBin5ghpcMPYVUhXf0QN3rpkw4mSDSf9K8pxdTCubXblypR5MEcaT7QcPHrC7IA9+V1X3fpt+/1xVIlYLCcIB8aSr0/fIg65crN/4u/4N2P6STZDXC+KFzcB21B7z2YOete3PrP/I3xHG1m1Lhrb/615X9hxq3eybT08nIqJDh42oQ9cxYSJndFYSdewxnfJqUFYqX/nZluJVRizX+pvpLcbf9U/t57jtjwGo2pXKXHdLO4cE9JGp6xd5wt7R2WKH6Sxjh4kN5D5HjEkf80DEopTyxHjtTxl/7CiDB7aQVgm4ggsYilyx5af2pnDlIfzP3n23nnK4v79fD6IYTDEFkelFpUU4Luw3HpinzxoisJ9mKl786uITeYgXRIk0CJ4sZJ08lIuuXKzf+OMBW6cuuf41rWgdzFrb32x6cj5N+enTp7XN2Md+zB7cdLE/9B3YMvoJPcjjGFumsXhuA4a2//n57OJ4dASMm4DEjkgdjDocSFJMR3o6Kj0NjOn15FUDhpgvdnSUgZTiY3mksX7jH+sJdcL17/jtLz7gANN15bjkber6hXeJiK0iUX3ySJ+2U8Yf/NRHgUcktBxTt7E59Ivqj7QlHqF/JA1LST9Ox48fP64gYJCvSMTqxNkf0wgvf6Pxfolk4ZHQgO3g6SLxOp9I1IWXmkIOniTP2iy+LU+J0MVTsH7j7/o3YPtLdgIbIYF44Slni2BLHr74YvXz995baX801RybFfsNETHpyLdD2//8fHZxPKpFOCA2bSsXcnPolBA6HnVGImV0XhCwdRePiCBbv/F3/SuvHLqL9kf7lvGO7XLVPp4D2v+ZM2fqp2usfMg+sot3wE6Dfr0AzQA/PvwqYa8HUPEhxDp5eAJaWp1y6vcfrHPiRbujv6Ofo39D5CkTARPxou2QgoGUvF0aQEUiVheiv5ZFOHJvF8nxOETipSK0FRHDkyFZRbyULt9a/6K3EXyMv+vfxttftghHTrxKtuTPZ576kv2hnpZsFmHYqfiQibRRhrD/Q78DNioPWOzQ5Z2KN5mbpc6ffTp9hBtn71fzLkDEy96/5r0TNfpS/aor0OyvFB/xJJnr33a9n328WMeZdpjf/6nqB0N5WWgHJSKmuq92Iuw4XifPpqegnIb7XyJeccDCNcY08Z0xPbS4G7xd3Bu+6xMHVPfu3VvwiOn+lbbRI4X3q/aEzTxepfSE4RHjBxFjWhTTCtdZoCOWa/2HHjHj7/q37fYX7QTtMH9gE21J/bHm8M6q7E9OsnKbxdT0PE1s8/QhQ/a/8Vx2tT8aAqbOnQvPiRU3bdkgWoNk5aMMDRLoxJBS+XXE7K8UL2Jn/cbf9a95r0rtiraWPyQ5TvujGdLO1hHarLwC6+RrSztl/XSWvCzN/Y0/7ilxImfCjnDd75ie/VV5VG9UlrZTxh/cqMtgEImXsGGLDaJPikSMcPL8/ZMnC1OICEcYSPFx1TjA4j2wS5cuNQlW/EOELqXfOqKpievkaUtr/cbf9a+tdZTD+7Q/bAI2IideUUO0JXfT9MRvJY87sq7NwtZpPBXLH9r+x3PZ1f5oCBg3BaHzVgctYiUSRXxMx7FIEtMyYvpteH+s3/i7/h220022P8pS+2W/i0AKtNx8l/Sr0kxdP3YXW4sNpp7Hn7AjLtpowvvkUXlxO2X8mToPrnFgooeC3IeIeyRi4PdGypdGTjWUcTnp+TLS6dtfcfB05FtgKeeDz9J7Hr9fPsWrVjD70xRBDvPFOmK6uK8pime/kvJ8LcZYv/F3/Ruy/WmRHuyEZJUteZII2z+kz0ita7MYq5dkaPtfOqdth41uGfptX7DLNwJGwAgYgUUEGOzzMAsREYvLB0MA8qXR5Y1ZNw+6LIsIgLkGMuDDYIT3UfXAhy3HhAs/0tfkKxXFYImX5u/cuTNfTpplpTkmnHiEAVaJgBHHu1sfp1UO7xw00wgJywXipSXomWaoFdiWLV8P8aJMyo7vh+VlW7/xd/0bpv1hE0S+1rElsj/r2Cw5WPL2P8Xj0RAwOniEjkYdjDxfkRnHdKSnE8J1iccrpodlM6VDg4qYT+WTX1KKj+WV0hFm/cbf9e/47U/ty9thEOCdovw7XiJiLGSCLVTHiU3F7pG+T564rP0wVztOraVBDP0S31qL/VMkYr9JXuCceOH5YtohW6RExHIE8Ehd/noiaGmZ+BIRyokX6UivPCUilhMv5cm9X5yL9R9iafyPElHXv8UHH2pLm2p/tMES8VplS7A/+cOiVTYLXZYGgdEQMDr32MlweiI3q4iUiJKeFpJXZYm8lconnaQUb/0NuTL+y4m861/znuVx2p/aobfDIIC95EECbT0nVTqjSLxIx0MuPejqmgcdss0q19tmmfno8QIjeRzph7Ax0SMpjxh5/jR5uhAGS/qAKk+zmVaUf4QZjxhLSpdEC19oUCcicCu96sHy8pCs+cAvLVlP+jyPiBh55PHK85R0E5aXZf0Nhsbf9W/b7Q+bEL3nXWzJi8mW9LFZfRbaaLMZJz18NAQMINUxL/OCLSNKu/CCWX87UTb+2/fCnub6d9KN6Uk+fwb5ECy8LTkRo8MkHpIl4sU7S3hs+LGfE7E8D2VStkjcScZqG+euQUkkXrT1KBznRIx48vxJWkAFwpVPL+Q4J2KPHj2KxR7Zz4kQCVaRqD55jiieBfQpq08e6y8j0AfLPnnK2o8ScdK5/s08zrMHHzl2x8VfNiESr2W25G+SzZGsa7Nk65R/yttREbBlg0t7YeyFYfCGLCPqx/HCuP61k+tdtL8pG+KxXHuJiLHQSU68NLOA82Y/J2LKY+LV7c7yXbS2qZ580073hdJExEi/kCd5JVnJjOXmb926VW85RkTErl69utYKiHwc92p6Z54tg7xVooHgOnnayuxTVp881l9GoA+WffKUtR8SsXXqkvU3bXUdzMCfVVGxDfEhTqstuX27fhB0xP6kcvSAbZnNKn0Dsq0OnPbwUREwwF42uFanv2ygbC+MvTCaEkh90ZP5ZeQtNnLXv9XvYm6z/cV74f3dIUD7EJFCqwb8eK1Yhl4eL9lg0tDO1NY4Vn7Skif3eOkdJ7VF8liOIqBBjDyOpIAAt03zJF55XkrkS6RLAygImcJIW5J6VcPP0nsgn5diy2G848Wvq1A2q/2hKxfrb7Ax/nnNaD92/dtc+4sol+yGwt5ID4NK9lv2Zx2bFXVOdX90BIzBHU9NETodhMEAomP26eCR6PHQ4CCmU165PUvl1wXN/krxKiOWa/3G3/Vv8+0vtkXv7w4B7Ci/uMAD2rF9PLGUbSUM0oWdZDENfuznRIw8spsiXnpfINpsyrM0COSDGB4eQWZ50lyaGkr6PA995xeJNPM0G7zxfGnwtIyI8bHfh+l3J71OBklaRgTi4hqrVq3jykS8KBsd6MrF+o2/699w7Y/2mNsJbAc2BFvCoj7fT7aFMXB8EFSyP9gqbFZpajrpLYcIfPlwdxx73CBuMp2PSI46dxEzzlSESh4LwpROYXT8ebpS+eSVlOJVrvU3xBisclwJE07Gv/Eiuf6t3/6oR5bdI6DOUkSMLe2YHwQLoX0TziwDRPYQew0RUx6RNeq/yqszpD+VqWNvGwTADKwQ+j5wEo6EQWbpm/gRroEQcQj3gvsj0psSVBdS2IULFyo+sspKiBpg8Z4HU42i8C2vvRcaEsBAmN/5/aq6kH57s1ECxItwFsdAeC8HYeENiNg8z0tNOMRLxKoJOSxTx9pav/F3/Ruu/bGSKjYCgXhhI7Adkv27dyuoU2f7k9Jip/ip35DNwrZprKjyp7qdmdbxXL46HW6SRB2Tbpo6duKVTsSJjkidkPKRRoOIUvnSw7YUr3Ksv1ntzvg3A0vqi+tf00431f7AtKvwgIYnbZK2fcVvenua9MuLRX3G3sUf18n9jcQLWyg7GztlETHi9JAG3Ck32uFN3IvThD94lIgX4eBIv8Y9AlfwFubEx3vBMfaZwc730i9lrAdSkYiRJhdIFkvBQ7hEmkTE+HAyJCsSr/jx5Xr6YCJgkYhBzviwrCQncwrX1vqNv+vfcO2PdlgiXoR/kB6uvZ5sytr2ZzZLjTE1P+yUxtKUe1wZ2v4f9/zJf+batWuHI5hNlLhmGTfTl7QldCq4N+mI6EQQbhqdOh0Q8Qg3kxtJh048QsdEp4P7k33y4z5FWL6XylMqv04w+yvFW7/xd/3bTfuLbdH7wyKghyyxwzziZclOEfuJbcYOS7ZBvFT2ad9qwCLiuwrL/J7NCV2aDtoqn94qRpW8V5CqSLzyjJGIKW4V8VK6fGv9h0RY2Bh/17+Nt79vXlX1OrLFc/7aF1/MH7z1tj+pTxirvPPOO4Oe2qjeAaPzRrjREg0ARLTUycR0dPx0+vZ+2fsH+UZUb6hLkG+kVL/qiNlfKV7luP5t3/sZ74X3d4sAXhZWLsSWIrQZ6ry+PdW2oAZtBpuMyDtDWtqdvmOl9kfZ6IiesTqj/xYQAHcw48EP5It+DcEW8VAxYk44+BNGnOwVechLGa98+mk9DZG0XUUeqSvnm2mD9UeXV6yEqBXoSAvxIi9eDU1h7KqbdNbfYGf8Xf9oS7tsfxAvvgnGpy02Yn9mfck67X8qaUfjAaNztvfL3j97P6fp/Z2KwR3rdUZitMzTpQdgGujrepY9HcW2QxDkGWPqiJciFnKHW4gXuMrjFe9DCXc9qIz3It6HHPfbhXc7qhYP2OFZec8IGIFTi0DwgOld0WfPnlU88tm0/Zl75GeOljFgag/Y7C6oE1GnQrDC5H2IYUpHJ9PF+6WylG+mdr4pxSvM+hvvh/E/rJOqR65/m2l/84bonUEQgBBpIQ7saVzpihMqeVloA2oH2MrcO0PbwCtGWZRJB4wOk6+jtxgCHD1euccx90hSApirj+I+5B7H6JFkMPXtNLAizf3794+egEOMgBGYLALYBGwD5Ov7yVZsw/7II4+tszQIjGYRDp6KIjwplShM08oIJ4yfprXQqXOsgYDScLPzMOJi+RxLpCvGK8z6m2l9YAUm/Ix/M63R9W8z7U/t0NvhEMD28ZMnRkSMwTv7EuwqP9kA9kUGtI15xvjkU9cylq36GrCM/U1+fiJiwpz4eC/y9ByLiEGIbyTS9te/+lUpmcOMgBGYKALnzp2rr/xffvrT6qPZaxwlKI5rf+gfZOtK5U8tbDRTEKcGvK/XCBgBIzBmBETENCWOgf6ywX4+Tc7Ea8R3N5HqWjwFccQ3yadmBLaMQJiCmJ6ybVnZ+IofegqiCdj46oTPyAgYASMwGgTiMuhdTgoihsfMTzq7oDVgGkiYCdiAN8CqjcDACIiATZB8gfzQBGxUqyAOXBWt3ggYASNgBDIE4pTjLKp4yDQVk68iNL0CIcCQ2q5C2k4rTU500NUVR6czApNAYIUd2Jr9mQS4yy/SBGw5Po41AkbACBgBI7BzBJgCCpnlpfV8gZPSyUC8eIePtOTR+xqltHWYpiG2JnCEETACpx6BFjuwdftz6oFdfYGjIWCw7Hx1FL0UHi+DNPHpHp0OYbxgLGGfsPjUsFS+0rMtxVt/81J+xMn4u/5to/3FOjbk/ibrdxf7kV/rUPpl/6Idzc8tHmuwzzVGOxvT5Puyy7H+5Gl8XNWLoECe4qqI4MIL7CUipntBHGkQFkHRqmNFItYy6Koz+88IGIFpIRDsgYjXVu3PtNBtvdpRETA6Zm6+hGM6lDgo0EBBnT6dDGEMBCQcK28eFstXHFvlifEqw/oPyS2YRHJr/F3/qBPHbX+xLQ61T9uXHdA5YH/yMK6VMC1OgS3KiRM2Q3lVVql8xbEtxasM9Em2oV/XmC8/L53a5oN9zq9ECpSeLViwEh9lS0+M936DAPc/J15aDpololkABYmYUxci8SINacGcvEUiFgZbjWb/GwEjMHUEDi5e3I39mTrQ4fpHQ8Bi56LzU1gc3CmMTgihY9eSxyJKMY2IWgxT+XFbileY9R+SW2Fi/F3/Ntn+Ylscal91WnUc25GHYWNYYAKbo+XC8zScv2yGyiKslI5wSR6/S/3+DpjuwjBbCHx84izipTomL1ZOxGKdIU4kjqsgb07EvnP9ur8DNswttlYjMFoE9B2wnySHBn3btuwPNg5bZ2kQGA0BE5HiqTKdCMIghqWMGfAsI1cxPfnorDTwUQdVKp+0klK89Rt/17/dtD+1w6G22BBsTxuxwqYgIlayOctIEnUnps/Lj9c6tH5dG9dT+iBzycvCOfPLSQFpsaf5B5gpW3jEa/f+4fcV84GPMFP/lxMx+rmceJEWnMmLcC8Ie3L5cnX27NlK3/wx7kbACBgBEMAmYBsuJxvx0fPn84eLm7Q/2DYWZ/ICTYd1blTL0NNJ0GkzcFHnQQcPa2ZgpE6IzgViRedDPEInA1HjJrNPfgYCCB0UHVep/DrB7K8Ub/3G3/VvN+2PtkYb3qTg2eki2AcIUhf70dUWQWREOPLy83PK45fZr23oz8+HY+4HdhZcEOwtP861JJwz6fXQCztOemFQyhPDhrz/nMfQ+iMWOZbEcd85R/q3ktB/gXVsQ/N7lgY+RfEy9EVYHGgEJoGAlqHPLvbZs2fVD996a27LiT6W/WnpM6LaIezv0MvQV9euXXs+5O95JukmP0835XkavMxjUkdeh6XBUR2WCFV9TDr2EeI4Jr8kdT51GFtJqXzFsS3FW7/xp265/m23/aUnY/N2Dd6b+MW23baPrVnHdnSpB9gMSal8xbEtxS+zXZvWzzmgj3OOdpdwJJHYuZ1tQhp7i63kp/NRHDaZPLlQNjqiPY5phrr/Ooeh9XMeYKd7r/rPeakPUj2NmLOvfot40sZrSY80nv/T+fPP/3DlyvPnV68u/l6unj/3zxi4DkyzDmT2ABuBrcBm8MOeHNf+UAY2TWN12dt8G20WeTbxy3Xkx0NyH3SPygOWAC96qWDG9kLsxgthL6C9sEN5oal78rZgC44jmmeeDO7KYob2Pg2tH4A0q4D9NIBv9VyVvCzkSQSg1TuD/c49aYTlMtT913kMqb/k8UqDlgWPY44jmCPyeOX3jTK/eO216uHDh7rE6vz589WFCxeqvb29JmzmAXv2eVU9+2NV7b84T7py5+kfmiTr5tl7oar2vrxYvPUbf9e/AdrfzAOGx+vg4KBsK27frhtrH/sTZ0RQSG7TohUYwv4O7QEbzTtguhFMr6BjYSCmlb80hUUdDWkTW66zaLoLB0qnMAY2ebpS+XVBs79SvMq1/vRMZCY5rgQLJ+P/4xol17/129+sevXeMAhV3exSCDYGW4PN0dQu1V/K4R4iClMdj2FRn2yE0pXKrwuc/ZXipWsX+nUudK7JkzK3vTzw4tpFlOgcwUfvdYEX6ZWH6yaONKRFyEsZlCWMSa8ypXuT23Xv/yZ1U1Zf/WCk+84gJT0tnuOnc6ROQaqSJ3H+bjS4o5Mw4lTvyPNKqr8X08pmV65cqYkXYZCxBw8esLsgD35XVfd+m37/XFUiVgsJwgHxpKvT98iDrlys3/i7/g3Y/pJN0IMaHtJgM7Ad9YOa2YOete3PrP/AlmHTEGwctm5b0tf+but8VpWbPYdalXz78XQiGsToCZ86dB1zFiJnurGEqWOP6ZRXg6RS+eSVlOJVRizX+ptlsY1/Y1ioP65/jVcjthO1nS7tD+OsdqX2uO4WPSJSXfLqXLE5tH2RZs5F5045pOPcuMe6Fuq+zlk6SUdZ5CWsVH48r1I85e9KfzwXkSfOnc6W66CzjB0m5wsGul7ykz7mgYhFKeWJ8doXljrus133/kcdQ+qnLjF4YCvSz7mBK+cFhiJXbPnJ3ihc10L4n737bu3p2t/frwdRDKbwfPGUu7QIx4X9xgPz9FlDBPaTg+ziVxefyEO8IEqkQfBkIevkoVx05WL9xh8P2Dp1yfWvaUXrYNba/mZe8QXveCr+6dOntc3Yx37MHtx0sT/0Hdgy+gk9yFN/qf4ztwFD2t/8XHZ1PDoCxk1AYkekDkYdDgOlmI70dFTcdDqxmF5PXjVgiPliR0cZSCk+lkca6zf+sZ5QJ1z/jt/+REbAs4/0IW/YAHUM3FORC84Fe8KxOhziCeNeY09iPtkr0kNAyEO6Uvnx2krxlL0r/fFctI9+zp0f18E1cz7CRunitk+emJ/9Ie5/PIch9YMfP0nEnjDqNvWPeqb+SFvl4f6QhqWkH6fAx48fVxAwyFckYkoft0wjvPyNNOAKJAuPhAZsB0+bwTF5GPieTyTqwktNCQdPkmdtFt+Wp0TorP8QAePv+jdo+0t2AhshgXjhKWeLYEsevvhi9fP33ltpfxhzI9is2G/Q12Gj2mRI+9t2TtsOH9U7YBCbtpULuTl0Sggdjzoj3VA6LwYKTMVQx8QNpzIw7YX4UvkR4FI8OhlQWb/xd/3bbvsDXxnv2C5X7fPQhfZ95syZ2jvFyofsI13eAVvW7imbeARbgzeoqy3YhN3ZhX6uTR+SZoAvMkl4ScAD+8sPWTcPT0BLq1MOdf91jUPr5zw4B/ov+jKEusYxdU9h1IlIxIjjXtB2yMVASt4uDaAiEasL1l/LKoiRiClpTrwUrq2IGJ4MySripXT51voXvY3gY/wXiX9eZ1z/mgcha7W/bBXEnHiVbMmfL7E/3JOSzSIMOxUfMuX3bwj7O/Q7YKNaBTF1Ks/TTVlYJSvduDosDWbqBUxYSYU0/LSqCnEcp45pvsgJK24RRn5JqXzFsS3FW7/xpx65/m2//aWB+bxtg3nXH/kQ0sd9jrvKsraPLZFgYyi3S33YlO3ZhX5WLYx4g4fsq66dY+EU02q/a57SConoGPL+D62f+qS+BjzZVx0T/nka6qLqI3nu7u8/T9/6WljlkGPCEzGrf0fSrFj97snXq+e//kr1/H9+tftqiaQlD3mPu8Ki9Rt/178ttr/ZKogr7URKF9Ngb3L708VmldLIvg1h/70K4s2b6V420/rs/Xq1xiINdOqpSzwRsPfN3sdktE6995eKH5/y1w1hxR+eGLwCyXDXHpW+HjDU2At2OLVani1wSaSqxldT4AhDCOeHRG8Yx6vyMDOhJEPef85nSP3yQNLWuzwpzr1kf//kycIUohzf+GSbD65eunSpSdLiAcvz+9gIGIFTiMDMA3b//v0jU5bbrla25Fuz6Ynr2iz113n5Q9hfe8Bm9Dd12vUTWLYS2HK6SQtPAjnmp6ezPBXkGDYu2Zb3i/Kt3/i7/m2+/antrrOV14YnZwj3Je5zvI4ss0FdvVDSJ7uEDZOUylcc21K8bOAu9Otclnm6OEfZXqVn2ydPzN9nf9P3f91z2KR+8Ms9XhHTEu6kr/OEb/nE7/iUvv3FU+yF74HNPGD/tF89v/1C9yfteKbu7jW/rp4uPGPoQFfuGbN+4+/6N0D7m9kObAK2IX4nsIst6WOzSv3HuraX9Juwv0N7wEa3DH0aNFmMgBEwAkZghwjgAcTjjuhl6dRRzr1ciQAcWRqd9H3yoMuyiACY6/0I8MHDxYwQeSPZcky48CP9GzMvJN/x4aX5O3fuzJeTZllpjgknHuGdjvk3wBZPof4O2MdplcM7B1XF+zQl4d0sLUHP6mtagW3Z8vWURZmUHd9PycsnzvqNv+vf7tsfNgHbgKxjS2R/1rFZbTMgcnswieOhGaCYL6w4AV7/xJBh14Steoq87lNilS/dbK3f+Lv+Ddf+Ylvsur+JJ2DStaz99/GuyybpCWGpfOlmW4qX/duFfjyHsrU653h+cZ94XV+fPPJSxjL77G/y/o9BP3VAXlDZIo7BuxROen54uvSOF1uOeZpdCl/wfvH0O7wDJq+WyooeiTwO7xdhbeGUK4+XylOeqDPu52VZ/6FHJMdGWLaFG3/Xv07tr8V7rja7ypb0sVl9bG0pzybs/9D8ZzQeMFgxT1kRPfXjCV/q6Ov3PPSkNabRk0DmjsZ87CsdTwyRUvl1xOyvFG/9xt/1bzftL7bFIfZlc7AbekIn2yFbwnkpnWwONkhhSoet4t006o68GjGNyo/XWYrfpX7OXXWd9045b9lcnSfHhBPP9SViWP/Y75oHHcJJ5XrbLNkcPV5glAY38/fBqG8cCzvqC+n5/WnydCHxA6pa9TD/CDMeMZaULomWQr/89Wb5eXmkbqVVpVleHm8XqxoSz5LZpM/zyCNGHnm88jwl3YTlZVl/g6Hxd/3bdvvDJkTveRdb8mKyJX1sVp/PxbTZjJMePhoCBpCxc8nJlQYjy4gSy/BqYER6BggMDjSQKJUfb2ApPpZHWutvJ8rG3/Uvtpd1219si7vcX0aiuAbZHq6NOr6KWMX0XEep/Hh9pXiRuF3o51xEuJK35QgRo8PMiVd6J62+Ls6dfd1rEbE8D5hRtkhcvH7vNwQMHOiDRLxyos4xdTASMeX5k0TO+N5XPr2QY8IjEXv06NFSyHMiROJVJKpPnraT6FNWnzzWX0agD5Z98pS1HyXipHP9W3zwkWN3XPxlEyLxWmZL/ibZKcm6NssETMhV1agI2DJys4pIaeCnJ8lcogiVBkSl8g+hWE6urH85kTX+9sLSlo7T/mJb3OW+zhl7oUGvbIZsSLw21fVlxGkVSYvXN7T+eC4lIsYKfdg/SJaIl/AhL/s5EVMeE6+Ibvt+mk7DijE1wVIdFFlldU/dF0ognjpI+oU86R6xQtm9e/eqW7du1VuOERGxq1evHq6AWMe0/2lQd/XlQ49Xe+ompk+etjL7lNUnj/WXEeiDZZ88Ze2HRMz1b/vtj1VRsQ3xIU6rLbl9u2x/0o3sYrOwdZYGgVERME5JAx4GJXTqiAY86vRLRIoOis7eXhh7YWJ90ZN5DANSql91xOyvFB/LI5nr3/a8oPFe7GJ/GYnahfdpaP3CmPYhIkWYBvx4rdI7W0XiRbtQ2yCP8kPSyJN7vLhW0qgtksdyFAENYjTVkxQQYHkXS/gpz0uJfIl0aQAFIVPYUW1NSP3h48/SC/ift6U4Gs7iGm2LdRxN3ZT9IOlAVy7Wnz68nLAx/nnNaD92/dtc+4sol+yGwt5ID4OW2Z91bFbUOdX90REwBrcQKYROB2EwgOiYfTp4RE+P2RdBi+mUV27PUvnklZTiVUYs1/qNP3XG9e/HajobaX/zwna0ozaNzaHtI7IVaveEKZ1sDGG697IFMZ3yKl8sn3SSUvwu9es8uBZ+zOkXkSKO6+CJZbxuSBdYXb9+vf6xnxMx8ggDES+9LyDcpNvbBgGRKA1i5HHEy1WaGkr6PA/17ItEmnmaDd54vjR4WkbEDpKj7GH63Umvk60iAnFVw1WrFnJlkArKpGx0oCsX6zf+rn/DtT/aY24nsB3YEGzJ5cuXq+8n20J/FR8ElewPtgqbVZqaTnrLIQKjI2DcIG4ynY8GNurcRcw4fQ1S5LEgTOkURsefpyuVT15JKV7lWn9DjMEqx5Uw4WT8m/nRrn/rtz/q0S4FG9PmJaWOcw8R1WnV8RimtkCYbITSlconnaQUL1270K/zoLOU3hIRIx3XJOKld+G4XvYhYzkRy4kXZaADXZZFBCC4OfESfqSEzNI35URMebgPCx7H1IdeuHChfvcrJ2IsS5/Lxa+mRTyaVahbiVgkXiyQwXs5/LRYRr58eE680IkOdOVi/cbf9a9pFW1EdJvtD5ugBzQiXrw3ig1B9u/eXc/+pDx6kJcTsfgwry58yn9DL8OYmPKCpI6kXg453bR5eBog1WGpg6nD0kvI9XG6b/UyvAQSxzH5Jamzr8PYSkrlK45tKd76jT91y/Vv++0vtsVd7WNr1rEdXeoBNkNSKl9xbEvxy2zXpvXHc8G2SjeY8Esksf7QvY6xkToH8rIvu0karp08Ss+WMinbUkYAfMAt9ntKmbyJR7AT5vm9IA84k6eWsMz0/3z11ee39/bq5ennH1wNy9CzdPkfzjcfSk5zT+ZL2//6K81HghWmJdC1hHy+FDrLx5NH6dnyoWXKVp62rfUbf+pKrDuuf1tsfzP7wHLz2AZsxNw2zOKOZX8aK1T/Y9uwcdi6scjQ/OcMJ5A6yMHk5s2bc9084eOJXrpJ8yfPPHXl6WrqaOZzT2HQPKVNN3LudeEJIZ6z1DHVTwt5esiTPyR1SPXT2VL5c+VppxRv/cbf9W837S+2xV3v473Bk9PFfnS1RanDmU/dy8vPry+PX2a/tqE/Px/0Y2PjdEH0Yg81tTDPg/3ENmtaJfHYaH5cn2U9BMAa/KmXyCos83tGP0qeHyx76f3TW8WTwnulaYFKgLcLTxULLZSkfo/rd81y9YrHq3Eh/fa+rJBuW+s3/q5/zbRUtZittL9vXlXxR7YHBwfVa198cXz7k/qEsco777wz6KmNagqiXJN0GhINAOiMEHUy7CsdHT+dPgMEDQ6UjzTq/EvlU46kFK9yrN/4U09c//p/96rUvtT2ht7KlugcsRkKkw3AtmBjsDXYHCSmoW4gshXKR5jSqXzCouTxu9bPdEdWLtR1oZ/r4OEV5wYxJU72lWvlWvjpuokjDWnJQ17KkP0lDh1xymbEwPsNAsKMBz+a6kkM9YmHihFzwnUviFOdo57Op4Z++mnFYGodgTBd/FpVXTnfTI2L3/5qK0cr4JEW4kVeyliXfFG+9Rt/179h2h+2gm+C8WmLjdifWV/SZjemHD4aDxids71f9v7Z+zlN7+8YjDBEgQ5nil6wSIyWeboY7DPI10Bf9w3CxU9kS+Fsse2QBnnGeO+NRTosiwhAvMCVOojE+1DCHbyReC/ifchxT1OM6o81672OOnOLB6yO858RMAKnG4HgAYN4PUwfdX/27Fn1errqTdufuUd+RB4xe8Bm1VudiDoVghVGxyRRmNLRyXTxfuX5VJ62pXiFWb/xb6snrn+baX/Cd8itbIraPWQiD1vlBdP5y2aoLMLzspRW2zx+l/ohREyZpJPEnvIwTB4tzq/kZeF84znn3hnaBmVooQjKRofJl+744RYCHD1euceRukCdkkeSnNQt1S/uQ+5x1P2jLAZT304DK9Lcv3//ULH3jIARmDwC2ARsA+Tr+8lWbMP+yCOPrbM0CKw5M3t7sPFUFOFJqURhdCQSwvjpSSudOscaCJCOY252HkZcLJ9jCXmQGK8w6zf+sZ5QL1z/mnd6NtX+hO+QW3lp1O45F2wItiSGMRBm4Mu1I9QFSEWcWofNiPaHdKXyCZeU4netn3PQ9YmIMXiX94pz5Zz4qQ2wLzKgbcwDTqShbEsZAdUvcIr9TZ4azLk/wpx49nUv8vQcUx5kmN+NVG//+le/KiVzmBEwAhNF4Ny5c/WV/8tPf1p9FMbbORzHtT/0D7J1edlTPB7NFMQpgu9rNgJGwAiMFQERMU2JY6C/bLCfT5Mz8RrrnU3nlUh1LZ6COOKb5FMzAltGIExBTE/ZtqxsfMUPPQXRBGx8dcJnZASMgBEYDQJ49vBoLfOyxJOFiOEx85POiMoI9yFhJmAjvDE+JSOwIwREwCZIvkB4aAI2mimIO6puVmMEjIARMAJrILAukYKodSVra5zGZJNujQAz6HrlzGRx9YUbASOQEFhBvrZmf5LqW68Pa3/+6z9+o/pv/+k/DVYNRrUM/WAoWLERMAJGwAgYgREhwBRQiCwvrecLnJROMy6UQh7yUkaraBpiawJHGAEjcOoRaLEDW7c/px7Y1Rc4GgIGy85XR+Gl7fzFbdKQVkKnQxgvGEvYJ4w4Sal8xbEtxVu/8Z9K/YttYcj9TbbvLu03v9ap6pf9i3Y0xyYea7APxtHOxjT5vuxytN95Gh8335GDPMVVEcGFF9hLREz3ovU7YCUi1jLoMv5GwAhMEIFgD0S8tmp/Jghx6ZJHRcDomOMTO47pdOKgQAMFdfq8IE5YHChzrLy6aIXF8hXHthSvMqz/kNyCSSS3xv901L/YFobap22qHeocaP95GG2dMC0OgS3IiRNtVnlVVql8xbEtxasM9ElOo35hnC8/r2vWNh/sg0+JFCg9W+4FK/FRtvTEeO83CFD/cuKl5aDz5eeFOXUxEi8WSSEtmGv5edoJg6m5RywMtoy9ETACRgAEDi5e3I39MdxzBEZDwOg4EDp0icIiuVKY0tGxa8ljEaWYRkQthqn8uC3FK8z6fzCHSpgY/6aenpb6N7/BA+6oTqmO0XbzMNo4CzzQ5sEeydMQpjarstrSES7Jy5mSfn8HTLVgmC0PEOITZxEv1XGRp5yIxTpLnEgcV0HenIh9JxExfwdsmHtsrUZgrAjoO2A/SQ9r6Fu3ZX+wcdg6S4PAaAiYBrI8raMTQRhEsZQxA65l5CqmJx+dlQZe6qBK5ZNWUoq3fuM/lfqndjDUljZM228jVrRpRMRKbX4ZSeLexfR5+fFap65f2IJn6YPMJS8LmPHLSQFpsaf5B5gpW/cjYu/95tuVLHaSD3yEmfq/nIjRz+XEi7TgTF6Ee0HYk8uXq7Nnz1b65o9xNwJGwAiAADYB23A52YiPnj+fP9zcpP3BtmHj1l3U6TTfoVEtQ08nQafNwEmdBx08rJmBmTohOheIFZ0P8QidDESNm8w++RkIIHRQdFyl8usEs79SvPUb/6nUP+o6bWiTgmeli9A+IUhd2m9XWwCR0IA/Lz8/pzx+mf04jfpzPDimPmBnuS8I9pYfWJUEzEivh17YcdLrHpTyxLAh6x/nMbT+iEWOJXHUO86R/q0k9F9gHdvw/J6lgU9RvAx9ERYHGoFJIKBl6LOLffbsWfXDt96a23Kij2V/WvqMoVdB/MbAqyCOioBxk0Wklg2eNj04Qq/E+hsia/zbB++ntf7l71GpTRxn+zw9TVslDCq3SXJL5cdzKsVv8iFPqfwx6edcuF7ezyoRJsLpfCPx0mCfvFxfJAW0D0hA/qSTdJAzwtnPZaj6p/MYWj/nUSJe4AXeIsL5QEj3QsQL4sv94L4hPFI5f/58deHChWpvb68Om/+ZgM2h8I4RmBwCGQGDeB0cHFQPHz6soXg9/R/X/lDQ/EFQRsRMwK5dWz1Cqm/Fdv5u3ry5UDCdib1g9gLaC7p7L3Ac5C00yh4HmufdhYBN3fs09PVze0U42V/mucoH+6RHclLQhDb/Il4iEHTGJQI2VP3TuQ6pv0S88kFLjiOYI5F4RQJNmV+89tp8MEXaI0RsRsCefV5Vz/5YVfsvkqqbPP1Dk27dPHsvVNVe9gVS6zf+rn8DtL8ZAcuJFy17bitu364beh/7E2dEUEhu06ZOwEbzDlh9h9MfT+7oWOis9QSPwQGijoZ9PV3VdBfClE5hDGzydKXyySspxatc6+dZaiM5roQKJ+PfLNBxEuvf7Pb23jB4V93oUghtnLZOm6ftIao/lAOGMUx1LIZFfWqjSlcqvy5w9leKn5J+YUHnyvRP2V48kmAvogQ54f7ovS7SkV55wJ040pAWIS9lUJbuMelVpnRvcrtu/dukbsrqqx+MVO8YpOTvdVE2dRpSFd/RA3d0Ekac6j3pX0nt52Ja2ezKlSv1YIownmw/ePCA3QV58Luquvfb9PvnqhKxWkgQDognXZ2+Rx505WL9xt/1b8D2l2yCvF4QL2wGtqP2mM8e9Kxtf2b9R/6OMLbO0iCQPYcaHhY6EQ2i6OQRdeg6JkzkjM5Koo49plNeDdJK5Ss/21K8yojlWn8zvcX4n576xwBQ9Tq2iXX2aWciUl3yqU3R5ml7Iq2ci9od5ZCOc6ONqy1T93TO0kk6yiIvYaXy43mV4il/KvojFiJPYEdnC450lrHDBC/ugfAmP+ljHohYlFKeGK993Usd99muW/+ijiH1U5chUmz10IFzA1fOCwxFrtjyU3+ncF0L4X/27rv1lMP9/f16EMVgiimITC8qLcJxYb/xwDx91hCB/TRT8eJXF5/IQ7wgSqRB8GQh6+ShXHTlYv3GHw/YOnXJ9a9pRetg1tr+ZtOT82nKT58+rW3GPvZj9uCmi/2h78CW0U/oQZ76a/XfuQ2Y4vHo3gHj5tLhcLPUwXATuaE8PWWfgVqXBTbIz+CBzouODCmVH298Kd76jf8U6h/thevsKxAkjCsLb5w5c6YupssUxGVtblvvIsZrnLr+iEXcj6SqK4nqk0c6h6p/Y9Gv82AbcVS4CBr1tSTgR9/JUtISCBjki21RsnfAcpKlAdvB00XidT4Vd+GlpsSDJ8mzluIZQCOlPITlhK5Jvfhv/Yskt4QlxMP4u/5tpP1l74CpNUK88JSzleAN+/l7780fBClcW9kfTTUnfFW/MfUpiKMiYMuI1SoSJZK07oBNlYet9bcTW+O/nMSfhvrHoC8az9g2lu0zMOT6IV19CNiydkfZxCMY+C4PVHQvlj2widczdf1goQUoePDFL3phIlbsgxcDfX7IunlUR+rM4W+o+qdTGFo/55ETL+wuhCuS05yIxYEPj08gW/J2aQDVSsQyAiYsciJEeD7wV1ptcyJGeFfipTK0tf5FIgYuxn+ReKquaOv6t/ggBFxWtr+MgOXEq2RL/nzmqdeDoGh/0FmyWYSRjr45ytQJWHUtLcIx5C89IZ9L6shZEOQ5W0m6cXVYGkzVQWk+aX1MOvYR4jhOHVN9zF8iYnUY+SWl8hXHthRv/cafujWF+pcGxvO2xTV3/ZEPIX3c57irLGt7tGUJbZxyu9yPTbX9KehPXsuF+839kH0V9hzrPpXqRtc86CrJkPWP8xlSP/VZfQ3Ysq86LqzyNLQFtQfy3N3ff56+9fX8+dWr8x/HhCdiVv+OpHk5tdElvydfr57/+ivV8//51eXpYhmkJQ95Y3iffes3/q5/W2x/M1ux0k6kdDEN9ia3P11sVp7mF1eTXRrw9//7xjcG5T+j8YAtewqdbtrSKYR64m3v13pLp6dGNBfjP23vHxUhPmWfV4wlO9QZpiymget82mHcJ2saPC4p4TBqWf1Lht5esC17AbkT3IPo2SIskar6/jK9VB4vhROHrJunzbs2ZP3jOobULw8kfV3pSTHnJyl5yf7+yZP2aYYpY3yyzQdXL1261BTX4gGTLm+NgBE4xQjMPGD379+vHj9+XNuQpVOWExSyJd+aTU9c12ZpjACq9oCNxAOmJ6tsJbDldI8WngRyzE9PZ3kqyDFsXLIt7xflW7/xP431T21nna28JngOEHCJ+xyvI8tsQFcvlPTJLmBDJKXyFce2FC8bNAX9wmKZpwuMZHuVnm2fPDF/n/1N1791z2GT+sEv93hFTEu4k77OEzxef7hy5fk/nT9fe7vYcpx7xBbCZt6vf9qvnt9+ofuTdjxTd/eaX1dPF54xdKAr94ZZv/F3/Rug/c1sBzYh9553sSV9bFbsP4b0fqF7aA/Y6JahT4M2ixEwAicEgf5LdmzoApPHYFA5JfrxfuFZQbRqVeooaw8YYYkAHFkanfRPv/UtotfKgy7LIgJgrvcjwIf3K1hoSl5HthwTLvxI/8bMC8l3fHhp/s6dO/PlpFlWmmPCiUd4p+PIx5hnp8IiGh+nVQ7vHFQV79OUhHeztAQ9q69pBbZly9dTFmVSthbqKJVt/cbf9W+Y9odNwDYg69gS2Z91bFbbDIiSTTjtYZ6COLvDVKC2lRVxsWpwQgdIZ8iAhKkiiKdANqskegroyZ0COmsGa20e/+t/XTF1oZ7S9OhR70U4ULqs/bVOQZxNb2SA+adpsFlqk+kJXd0+S+XHiy3F0+aXfhT+FOnvMwXuv89WzKTj/j//7u/mBCLiqn2wxHbGKauK67tlWiTnrSktfReBGYt+6uC60zk599LHlllq/lFqk/q2D+nmH1ZNg625hCmI+cIXcdGHPE4v91NOXJpe4XycOV8UIcbN9YedXIf1Hy46kWMjLI2/69+x2l9YhKPtY8zLbMn/+tu/XdtmRQI29SmIo/GAcVMYQCF66gexgfzQaYsAxTR0WIiIkPIRpnR0+kip/Dpi9leKt37jP5X6F9tCp/3c85MfdyrkMJHaLu1WBlptV22Z1ErHOy8InQaDTDxxSoetwGZw72jDiPLF8uuI2V8pfkr6wUV1Pf+gsnACV/AkHvLFU1N+vBPwpewjzKU8uie6T0rjbfNdy+jxAiM8kHofjG30SFJfSc+Phw9I/IAqpJh3OfKPMOMR412PkkCaLn8j/b7erJ4mj9SttKo9H8nF28XAn3jSkT7PI48YeeTxyvOUdBOWl2X9DYbG3/Vv2+0PmxC9511syYvJlvSxWTw4szQIjMYDxuksewrN4EAkjIERHRCdlMgXAwM6eHthTq4Xxvd/WC9sZ6M4I1sY7bkHLL3Uf+vWrepGWJCD8tJ7NSuLXXbfS96vtJJbdfny5bpcvF8QMDoMBpzJCNQkAVuwLe/XadMfbxA2FvsKfgh2l2PsrMJuJ9Ilbwpp+Lgv9wAyzITQUh7CRCbIswk5TR4weSDp0/jpIUQJJ9oL/V98aFDnSW2vTeLT7a6LcESvizwukKRl0idPW3l9yuqTx/rLCPTBsk+esvZE+MOHv13/1v+OXifMskU4ZNfbpilzr7AlP3zrraP2JzlR2iTaLM1YIK09YG2IDRBuL5S9gAwkEA0u7IXcnReyU5Ofka+2tO/+7GdtUa3hutdx4NnmfYIW1EQrbeX9omC+e4TwThJEgQH/Nrxfp1F/DdzsD8wgYZBXMARLyAFbyPD/TB4XvCrCm2zsE8bTUMhZzEMZlCXvWdTl/UME0oIe9cMKSKrIlzBjaqXuCzmIJx0PN/jN86R7hDfy3r179cMQthwjDKhoN1evXj1cAbGOaf+TR+rqy4cer/bUTUyfPG1l9imrTx7rLyPQB8s+ecraDz2irn/bb3+sioptwEaIfLXaktu3y/Yn3cguNgtbZ2kQGM0URN2QOACHNSN0MIgGZcuIGh+SjekZNDAgoGIgpfLriNlfKT6WRzLrbyeKxv9k17/YFo7sryBf8/Rd06UMejJGXrU92qoG/GrztMGfpLbN1Cq9LIznBeGpnToNPGKQJLXZUvl1ptlfKX5K+oUF1wzWsrka8EOeeGLJzILffPObC8QL/HUPKEdEDJJGnpx4UTY6ZIul29tFBMAH/JnqSTtA2LZNDSVeeV4KpEsDqEjESFuS2tvwWXqo8XkpthzGO15ti3WUclD2g6QDXblYf4ON8c9rRvux69/m2l9EuWQ3FPZGehhUst+yP+vYrKhzqvujI2CQG56aIup86IziMft08IienrOvwZryEaa8mndaKp90klK8yojlWr/xp86ctvqndnBkuwapIm8zbDxSypEAtSnaPG0PUVtVuyPsz959l80CAdACA7wkLKGjQLQ6U6l8pWVbip+SfmFBPeaHFysnYjyx/EF4agnp4n0B3knix35OxN5P4bp/Il56XyC2Gen39pBEaRDDw0OIL16u6JGMRCwf+NCOvkikmafZ4M2DCQ2elhGxg9RsHqbfnYeriQADX61quGrVOu6riBdlowNduVi/8Xf9G6790R5zO4HtwIZgS5jy//1kW+gvV9kfbBU2C9slB0jMk7f9KR+PjoDRoXCTuXEiOXqaLWLGDdMgSU/NCVM6hdHx5+lK5ZNXUopXudbfEGOwynElTDgZ/2Ya5Umsf9zHI7Im+VL+LiSMNi4jTdtDVH+oY2CYnsjMiVcc6OP5QljtTbLgHUv5SuUrLdtS/JT0Cws6S133ESI2u/+ReDH9U95I9ktE7Nm3v12TOREvdKEDXZZFBCC9OfEScSUlZJb2kRMx5aFvWvA4pj5UHsmciOElzuXiV5sV9whvGwhH4sUCGbxjwk+LZeTL1+fEi7LPp5Wu0ZWL9Rt/6gbi+lcmYttsf9gEPaAR8YpTzffv3l3P/qT7qAd5ORGTo6S+2RP/Gx0B083RYID7oyemGuDTMSlM6USc6Ij05DWm0dP1UvmxDpTiVY71N1NBjf/prX+xLdT7s8H3kfAUwMv88Z2SfJ9jyNMqURtW26OtKowlthEN9nlKJy+X3kPSAhCk0/th8o6hX2WpfNJFyeOnph8suGbsW77SHtMJWWhFHi8RL56Ixh/3JxIx5fmL5FVDwJiy0SFbXEcc4w/yzJNWvVOQ73O8Tdm0fnm8IvHi/OcPItJ+TsSOEK+Uhvz1A7JEwpCciNWB2d/el1Pb+VpVXUnPNPKB8P30fEMeLxEvrYRYWjWRtHWeh81gGlWUSdnoQFcu1m/8Xf+Ga3+0xxLxIvyD69eLU9OxPUvtD5mT0O9ik0TEmlD/g8CoVkGERPFEj46IG4bQYV9PFYAbrSfk3FBIEZ26SBEdE54zngKyT36e/CF0/HT6pfLrBLO/Urz1G/+p1L/YFur9DuTpSJ62gNlgsC2a9sn7g7H9MvhHeBIXp1Ix2G9dBTGl15M82r9I2iuffrpQfl1w+Ju6/gBFvYv9zL8vBe4QXLYlgRjzJFUEmTTzVbXSi9uW9RCg76Gfo10g9Hf82ggs94z0emBIP0r6OH30yBmE74DFOLxXmhao8FWrqsVV65QH4nUh/UqkS2lKW+s3/q5/hw8waCNbaX/hO2B5O2TGw2tffHF8+5PG623iVRDbkBkgXE+o6TQk6kxEtNTJEK90ECfIFyTN3q/mfTnhFjvsEr7CmW0pXuUY/9Pv/Yt1Ac/RRmVFeWrLqoOvJO+Gphhq2iEDf35re8HShfzyS42zX+Xn1zZ1/XhMWO1QD7nAH7IF+eU+yNsl8oW3C7LFj32EOKUjD3nnq2ql+0/ZWm49x9/HhwhgayFZPPiBfNGvIdhiHipQh+kHJewTRpzsNXnISxk8fFAbUp5V29wjJY8Xq9y1iVbAI+0qj1dbGQq3/kWPmPFfvRKg61+D0XHbn6aa/0lyXGzE/sxmV6hte3uIwGg8YPY+2ftn7+dw3t9Dk5D2VpClhbTrHizxhMkL9SRNb2Mwz8CeqW/IJrxglPXtVKa8bPmpT1l/JEZ856zN08U9oYOeT/GcgTj3dKUXt3OJnjGoBFP3NG0wTzvl49zjBYkiTDM6IFciWOCkhwZ5mB660adCzHg4ieTfb6sDWzxgdZz/jIARON0IBA+Y7Do2Hju9afsz98gHj5g9YCOpXupE1KlwWgqT9yWGKR2dTBfvl8pSvvyyS/EKs/7G+2P8D+uk6tFpqX/z9rBN8oWSJeWDKUNFPa1n2uG6XjBdBwQCiUSBsihf7bpOEP6mrB9CxBx9BukQJqZxaionENEp4+2CxApT8NT9IYy46BHLy+F+Mq3U5CtUutkuBDh6vBYW1EhpeDhAP5S/o6e6TN3N37GDuGGfKIvBFA8fSMP7eRYjYASMgBDAJmAbsPPfT7ZiG/ZHHnlsnaVBoPA67DDQ8FQUiVOEFKZphcQTxo8OCYFVc6wBMWEcc7PzMOJi+RxLyIPEeIVZfzOtEXzAhJ/xP131j3u7jBzV8Zv6g4QVPGG8q3I/LewRl5XnHS46hRgGuYKkMaBH2PIhyXw1RJEDnTZlQQr++le/UtDC1vrTBzLTtEE9CRWB0rRPgQWuYCn82VceiBi/mId0ylOX0XL/Vf4Ut+pr6LNif5NjISJGuki+ZI/z9ByLiEHGbiQvWlv9L+V1mBEwAqcfAfWv//LTn1YfpQc3bXJc+4PNkq1r0zGl8NFMQZwS6L5WIzA6BBgU71oiCbP+XaO/SIIL+ItUQYARkSgRr/yESac8xB0hXnmGeP/zOB9vFwHdb09B3C7OLt0IjBmBMAWx9FB026fuKYjbRtjlGwEjMG4ENBjb9VlKr7bWv1sEhLu2mXY8W7x7h3dxYUGNLJ0OIVx4J2MeymiVFr2t6R2xOQRMfjeHpUsyAicdAduDQe7gaKYgDnL1VmoEpo7AK2eGRcD6R4//Wc7w991Pk4mhdZ5PO+SBhK3o/FmhkXeYlk2zi5pYFZD3gk/LVJetXT+4D93+4o3zvhEwArtHYED7e7VK3wodUP6x+scBtVeVCdig8Fu5ERgQAXsgBgTfqucItJAwFp3gnQHe50V474lfGxHTJ0r0blRp1a25zhOws/Xrd/s/AbXAp2gEtozAkPZ3Bfnb8pVX/+2dd7atYmn5zcdxliZxpBEwAqcOAQ++Tt0tPdEXFOojxAOSFVcF5NogVr2+g3XCvkOzk+sPeJ/oeuOTNwJG4PgIBHuwE/tz/DM+FSWYgJ2K2+iLMAJrIBCM7Rq5nNQIbBWBg/T+WE68tBxyvvy6iBir1sYPEOMhI21cfl3LH1M2g4uxSmngs5Xrd/sfaxXweRmBwRCYuv0dAnivgjgE6tZpBIZCIB98eRW0oe6E9YLAbBUuvkPz+PHjGhO+QwMZKS3Hnk8zFIjLpidCxiBq+iAx74aN7Vtk8UPY8QOouj5tj3v96a2v6mz61AMLq9Ti9i9ovTUC00Ng4vb3nYGnIJqATa/J+YqnikBOvsDBA7Cp1oZxXPdsAAD54jturJrIN8S0MIcIB6QpEjKFcxH5e2EQLhauKIXrOzRjW6CD89U5l65zE9f/9Fvfqj8TwDd/IGG1uP03OPjfCEwRgYnbXxOwmzfn1Z6nnnpKOQ885s46Tzqt3/if2vpXIl+0LQ/AjmlhnP1YCMwGAHkZfFPsh2+9Nf/YMPHLPEPE554uwpZ5xoiPMrT9j+cigqkFRYg71vUnAlsUt/8iLA40ApNAYOL21wQsELA4DWNTlf/58+edi7L+t+unsJ0B65DQ+I+g/rWRL+6fB2AdarGTbA2BbACQf8yZz4Pj/YFcaTXEnIjkxIvVD/Ei4VGSdCFiQ9t/zrVEvI57/Uw7bP2Ittu/qoi3RmB6CEzc/pqABQIWO9njtgQ6U2QdAmD9h4Mc4388BEZT/66u+M7GbAD27POqevbHqtp/sft1P/1Dk3bdPHsvVNVe9gEM658o/rMBQE68qFlz0nD7dl3R8FDhEYpEjAh5rfNl50tkZhkRG9L+dznXPtf/xWuvVQ8fPqzx42+Oafpodi1u/zUMtj8TtT9NK6gme/8nbn9NwDZMwPT088yZ5gOzuyZg1t88fTb+w9c/nnxf7UjA7j+qqsfpY7v7aVx28avLiRjE68Hvqurps6b3WjfP2a9U1aVzs55vtrH+ieI/GwDERTiOkATqSPheTE5EcuK1WLOOepXwKJWmpm+CgPW1/9H7towkcm2dr3/m+c7JbWkRDre/iba/WWPx/Z/o/Z+4/TUBCwQsdkJ5J9r1WJ1rHwJg/cefgmj8m8Hd0PXv1uwBRFcC1oVU5WnwZCF4zpASEcvzlNKQt0u6PI31g9wJx382AHj69Ol8EY49eWfStRF+cHBQL8xx4cGD+nr1BxFBWOEwCuF4xSAyXRa0UN4h7T/kT4twxA9NE47Xj2mXpevk3Evhf/buu4cLmswuUESMRTjqhU4In3nA8rZVaqd5Gre/BljbvwaHLnWmlIbced0qpcvTuP5toP5N3P4OTcCyiUDNDR3qn07mOBLn/Pcpx/qNf596ozyjqX892hHTCC9/Y7EjvPfbhlRdSIvSHTxNcTOPFx3f+RR24aXmyg+eVNXDWXxbnlKHKtzYWv/E8U8rH85JQaoPEK8HiXCxRVgl8eGLL1Y/f++9OeEoEY84RZH2GN8XW/UdsCHtP0QxkkWIF9en6ZVcC9cGqdR1a1sDlP7kGfvJJ59ULOgPZmB6MX1fjS3Elv2SuP1NvP3Z/k+7/5u4/S3ZxF2EjYqA0QHFp39dAcinfXTNl6ezfuN/0uvfuz/7WZrfN/vGT17BOxyXBmL3m88zVTnxUnEQMX6RiCnPKuKlMrS1/qMDQWE5Bfxz4gVxYGl6vGDEfef69eqVjIiIeMR3wyAn8oS9+eabC0RMdS3fDm3/OZ+ceEEK47VcT9efE7F4/Uw7zjG7d+/eAhHLrzseu/1Nu/35/k/7/k/d/kZbuIv9UREwOpY+XgSmvcWnh32Bs37jf5LrH4OvTUnsiPF+QaTk8WrTEYkY3jI8Z5TTR6z/cCAwBfxLHb88N9Qf3ltSGjw8r8+ICHGReEFG1BfQL0RCs4qIDWn/43lyTdFzx3F+LSJixOn67wZvF+ERM7DrS8SmUP/AK4rtz7TsT7z37E/t/su2sq2vf4ktOY32t77oAf5GRcDWnQLCylGaorEJ7Kx/vSmIxn9E9a/HtMMubYaO6NKaJGoVUeuiV2msfxr4y8MVp8ypDmhL3OXLl2sidjdNT/xWImJITlaUni1kDHITCQ5ESyQtph3S/nNO9GXrXgvnT56/f/Kk9nLF62E/YqYpnWB9qaOX3O1vGu0vrzc69v2fxv2fuv1Vfd/1dlQELJ/TvgoMvBW8OL0psf7Fl9lX4Wr8x1H/jjvtkPv84LNmFaj4btey+68XokmzatVElaMpiqyCePFrCm221j9t/PF2MdUQwiDRohEsox5XRhSpeJKe1v5DWsQpkqm4nHtcTTASMaasl2RI+3/jxo3WRUMgZ23XwnW8kd4LS8DVl7QKM55wx0VOhIPb37Tbn+//tO//1O2v7OCut6MiYLu+eOszAicdgU1OO2Q1r4/T8vIsqNFGxES8tCAH+GnhjTYiJuKl1cLaMLf+6eIPKRAxiCRCdQUSViJiNflInqNIvJQH4lIiL4of05Z3T/X+6VrXMvN8r4NZ23W7/U23/VEnfP+ne/+nbn/bbOK2w03Ato2wyzcCW0SASaO/3kD5eKTOJc+Uvu+VE7GceGlxDVQrT07EcuKlPExrycX6p40/9aFEIvB8sWz6o0ePagKWE7H/9bd/W/04LbgB0ZLgLeKdKTz0ImE5EVPaMW1LxGvVtaSLrEofW16GmYhuvHa3v2m3P9//ad9/bMHU7W+0h7vaNwHbFdLWYwS2hMBfffe71fsff3zs0iFG+VL0EDF+khKJyvNAxKKU8sR47Vv/dPFnyXQ+xiyJUw4JY9qhVkMUCfvT5BWrXn1VWRam6RHItEMITCRh7PMRZgjamCSfzh2nHC67Fl0DnvAumIEd73+xQEcubn/TbX/UBd//6d7/qdvf3Bbu6vhLu1JkPUbACGwRgTQNa1Oijvjy11OnnFY/RNhyDNkiPpc+efIydNynrD55pC/f9imrT55cr477lNUnj/Tl2z5l9ckT9eLhQiARV65cqb9XlXtqOOZdBeL/hveeZgJZ+Tg9gGAFRE3jUxzHhBNPOgSyMzbROa17LVwHef4kXR/YLMMMbBFhXR8U/vrcyz55CqrroD5l9clj/WUE+mDZJ09Z+yERdP+zu/5XNmGq9retLm473B6wbSPs8o3AjhB4PenZxHREna46VR132fbJ01Zun7L65LH+MgJ9sOyTB+2lVfni0sh4wCAYbPdu365+lPJArHKJqx3GFQVFxEp58jKGOMYrl8va15Iewjz91rfmH7BewGxGXsGwq/S5l33ytJ1Pn7L65LH+MgJ9sOyTp6z9kIi1xZfCrb95SFrCZlnY1O3vMmy2GWcP2DbRddlGYMcIMB2xj9TveH2W5oF/3j0373jx6yqUzWpb6MrF+htspop/rA8QL75ZxU/fpVHYG2fO1EvKx/TsQ1aYcsi3vvRpErYcawXEPM9Yj/tci/K8VMAs4th2zW5/025/vv/Tvv/RLsjWRruhsCnY34jFtvftAds2wi7fCOwaAaYjpoHqOsLHVh//PqyAmFa13muxDvniGstWTeQcIBWUT7r6OK22mH9bzPqnjT/1gk5e36rimOl0eq+JuH//0ks1uYofVCYdy8eLdEWvF94u3vkSEYtx5BubRI8X58Zy+Uwv5Ppi3Krr/yJdN6tD8m0f3vnS4Cl6xPJrd/ubdvvz/Z/2/cceTN3+5jZxF8ctQ6xdqLYOI2AEtoUA0xETDessLCG/90JDkiBKc1IViFhOvPR+GEvSs1DHPM9LjdqceBFaL2+fyszF+qeNP8QLsoBE4qV6sn/3bvVROsiJiOJL5Ariwi8nYpCasU1F5Dwhi0gkXro+efE6X396CHMhLVEfFy4REYPU5lMR3f6m3f58/6d9/6duf2Vnd709c+3atee7Vhr13Uwf0rQYASOwJQRm3wlqLf3TWwtRJdLEh5MhWfqOV76qYT19JREwfRsMIkcaPGoSEa82r5rSWf+itxBcTjX+37xa33oGAKzEJY+X6gPbD65fryBYcYENERHiIVMQFAnLueP1ylc6FBEjfIwEjIU45PHStbAlvPf1h/YvjxgrIM4JmNt/hPqIt57IU93+Fq7+6GwFX/8pv/8Tt7/vvPNO1gJ2e2gCtlu8rc0I7B6BMAg7ojwbgCm+RIRy4qW02uZEjPCuxEtlaGv9R4nYqcR/NgDQfY9bCMNrX3xRffLJJ3Uw5IRfJGIxff4drZInKaYf+74I47Gvv7DAx/za3f7nUMQd25+J2J9408P+ZO7/xO2vCZg9YKHZe9cIbAmBNhLWMgDTWagj4iPNrDDVRSBij5L360KYvtglXymN9TcDoVOLf2EAIE/Nt58lt2sSvD96x4vjnIjlxCvPc9KIWE68NnH9v/zSl+rpiGCzIG7/C3DkB7Y/p9z+5Dc8Oz7193/i9tcEzAQsa/I+NAJbQqBEwlYMwLZ0Ji7WCDQIhAGAiNezRLx4hxHiARlhemGJZEHEEL07xX4kZ5qmKPI2diJWIl6bvP7bYVETsKrF7V9IeGsEpofAxO2vCZgJ2PQava94OARyEuYB2HD3wpqrajYAuH//fv0OGJB8PxCvHKISESNNJF55npyI8Q5Y6btbeb5dHr/99tvzD0RH4pmfw3Gvn4V5eAds/t0ft/8cYh8bgekgMHH7awJmAjadxu4rHQcCkYR5ADaOezLVs5gNAFiA49GjR9W//PSnCwtqtMEiIkI85KvtvbCYHyKGtwwCli/QEdMNsc9CG1qEIy4o0nYux7n+v/7Vr2oSVpft9t8GscONwOlHYOL21wTMBOz0N3Jf4fgQEAnzAGx892ZKZzQbANSXzPfrLLtBwO1/NzhbixEYMwITt79DE7Avjblu+NyMgBHYEgIe7G4JWBfbCwHXx16w9c5kvHtD54xG4NQhYHswyC31h5gHgd1KjcAIEMDovnJmBCfiU5g0Ais6/9J3sJbhxfS80nfAluWZZBy4yxM2SQB80UbACCRjaRAGQsAesIGAt1ojMDgCHnwNfgt8AgmBlnrICoC828UCFa+++mr1gx/8oF4NsQ0ziBdpSEse8lKGZQkCQw++rH/JzdlBlPHfAchLVEwd/yXQTCHKBGwKd9nXaARyBFoGvXkyHxuBnSAQ6qOI1/Xr1+uPMLMqIMICGiUiFomXlqQnDx8wpgwTsRV3MA0CWQSFlSijPHjwoOIXJa5WSTifDCDs6dOn82TsE0acpFT+/Mm79Rv/geuf6ulOtyJf2u5UeVI2lN5dX+eI9ZmAjfjm+NSMwFYQCIPdrZTvQo1ADwQOLl6syVIkXh9++GHF6oUff/xxvdohxUYiJo+XiBcrIpKWPOQ1Eet2I/7zv/23NQngW2wSSNPDhw8XyJWIlMgVW8IiUWM1S8JiWUfCssGf9Rv/vM5wvKv6t3MyktX/wfWr0Xu7UwRMwHYKt5UZgYERMPka+AZYfQkBPCYQp58krxWkScRLS7LLi5UTsZx4yXuGDvKWiBjTEy2LCEBc8TMy4JWcP3++3o3kSmEiV/v7+xU/vF7ygl24cKHOR1kiajGsNNi0fuM/ZP2rK2xOitQQNr1t09MWviv9m9bj8lYiYAK2EiInMAKnBAGTr1NyI0/fZZw7d67+NtXly5erj54/n38LTNMLIVJITsTk8YrEi7TxfbFIxMb4DbAx3E0wgvh+O3m0RK4gTXt7eyvJ1cXkuURE1MjTRtQov/RenvUb/yHr37wNbpsErSp/Vfz8RHvubLv8nqc11Wxnrl279nzIi78ZvgOGYWb1qk3K+++/37k46zf+p7b+tZEvfwess31wwi0gEL9DE4rHc/LDt96qpxsqmAEaNprBeklEvGIbhqDxg7itkqnbf/B78803q5dffrn6zTe/WcMFGcPriJcLcoxAtPBuQbJEvu7du1cTNdKQlvt3586dOv2VK1dqIvdReodvXn5aMCUX6zf+8/oxQP2L7f/dn/0sr569ji9dunSYb8XYdkz6D0/6eHtjH38P/R2wUREwpoaw5PAm5Xl6mtpVrN/4n8r610a+aBgmYF3Ng9NtA4GMgDFwZ9CvqXBMS8JrxeCcRTWQnIjlxAsCAUmLbbkLEZu6/QdbcIPA3rhxo/rB7OElRIr7soxcMf0QEtZK1Gbvli2Un1aszGUh3vpreIz/bupf3v434Qq4evVqU8VXkC8SjU1/c+LH+x/7+NsELHjAYid7vNveVGbKWKcCWP/hIMf4Hw8BjCkyeP1TB9B2OTMC9uzztKLZH6tq/8W2hEfDn/6hCVs3z94LVbWXfYHQ+ieK/4yA5cSLmoWHpZ4Gd/t2XdF4Qsw7X5GIESGPF8QLosX0Q4Tpi6TXe2KELSNiU7f/4AMGcy8EXqr08Oa4XjBINF40vJBHykdpkCPx1m/8j+mF7Vr/Su3/u3/1V6F2dt/lnVakJmAdyBdpx6if8+ojoxn/rHDADE3ATt07YHTCPDEdSqzf+I+l/q3zBO/B76rq3m/T75+rSsSqrQ0RT7o6fY886MrF+ieO/2xaG/UC4sW0Naa38T4RJADRe114Z7CzEC9+7BOm98XqxOkvf1+McMgYqyxuS066/ccDhYcRklt7EBO+WkBDi2yAHe/sIfJUsq90eoeMe3dj1heLBB8pn4xBjsRb/xxX43/4qYNt1b9QFevdn737bh609Jg6f/bs2cM0qf4eR4bWv+65n3T7t+71Hjd99hz6uMUdLz9GOk4b6VMag1+MeB+xfuN/Wurfumb/wn7jgXmaPt0DsdpP496LX130iEG8IEqkQfBkIevkoVx05WL9E8d/tuCDFn5Q/WDQyYB+P5GxC7NvUkHE+OERQ+TxUh69S4G3i75ARIxjbHzbA5Kp23/wg8TKowgRQ3h360vp3TCmF0pYVh7RYhvsi3jN06XB50ezd++Eeal88kpK8dZv/HdR/5a1/679KeRL733Rerq/ANM8HGobfwytX+1z1fYkj79XXds24kdFwGTw+15oW+XtWp71Nx1uV7zydMb/gxyStY43Vv9mA6d1lDON8PI3Gu+XSJaIGOToID18jMTrfAq78FKj4eBJehI+i2/LUyJ08fysf+L4p8H9fOCeKgbEi8Ue9NS//ibQiy9WP3/vvTnhKhEvBlGaoog9ok1ByCIRi/Uu7m+s/cVC19gfWj+nCn4IZFULl4AzA8Ans9UOmS4qz5e8XtwnfngA6rBEvsCde8F16aFoqfxa4eyvFG/9xn8X9W9Z+7uR6ueqhTmwUZI+I6kx69d1Ldue9PHfsmvbVtyoFuEozYHtcuG4PTHwZ86cqZ9usvIK+8gu3sGxfuM/lvr369kTuFu3btX1f/4ScH1U+GtZhCP3dpETj1ckXnlpImK8SyZZRbyULt9a/6K3EXxOJf7ZIhw58YKUMaDHuyIy9ufJ3kMQRMAY6EfixUCGOHnCwI4wETGOSzL1/gfv06uvvlpDk7+zBX7gk4Bcugoi+eWphMBBwPimG/axVH68D6V4dPJOmvUb/23Xvy7tv/ROGA8dsFP0ubUHLHmHtzX+HFp/bK/aP8nj36HfARuVB4xOtA+LPo7bU5WIrfUb/5Nc/3hKuCmJHim8X/XUwZnHq00HHjF+EDG8ZXjO1lmgI5Zr/YcesSngXyJevAMmrxgDG6WpP9ac3uOSt0Qer5xk0S8wqKo9KMkjo4F8GxGz/S97v2iXYIb8JnkVH85IWtH7NZsmSvpNeb/Qa/3Gfxf1r0v/n/ezcdrhX333u9X7nGgP6Wp/htafX9ppGX/n17WL41ERMDrQdSTOF18nX1ta6zf+bXWjFD6q+rdm2yldTykMInRpjZURKUNTE0vlrRtm/dPAXx4uCFckXrG+EMdS6BCxu2mg/62WZeljHjwvkLBIxBjoEJ7LlO0/tkyEFu8iAma8DwYuwos00LR/Sgul8OQf0QeYmR56pQ45nMo4J06F8mdJ6431G/8h6x+VsGv7v5HSMh2Rqbjyytf5099xln87Kfq5VmRU45/mlE7c/6gImKaUdEWRpxVa7rJrnmXprP/od1mW4WX8x1H/6rnp8YOPy25aS9yDz6rq8e+XTzGMWTVFkLB8sY6YLu5riuLZr6Q8X4sxaRD3mfVPGX9IFx4VebyoHXFp+vmS9LPpPhCxJ4mI/UP6jInIAXk0kGcwB5HQu0yRiDFlpiRTtv9x8Bvf/QInkSj2le5Lv/wlH2irB6AMQpkW+ps07RPZlveLsq2/8VIa/83WP+rWuu3/8b/+15WWm09PKqo075BiestJ03/axn+9b9wxMp66ZeiPgYWzGoETh0A+HeE4F8C7Wx//rqruHDTTCEtlQby0BD3TDLUC4rLl6yFelEnZ8f2wvHzrny7+eo+COgHxwqvCB2i12ANbjgknHoGsvTHz1kC8GMDwDpIG6Ww5Jpx4BCImglEH+K8/Agw6k6w3b6K/uiM5rb+GxPgfqRk7CdAS8Uw7HEKG1j/ENZ82nSZgp+2O+nomhcCmOl88Upe/3rzrVSJCOfHinTDSK0+JiOXES3ly7xc3zPoPsZwi/tSBEvHC84W3S8ud50SMd5Jy4oXXi4UfNJWuRMTQZzlEIGIlsirPV3wyH9ORe//u3XrqFu97xfR4GZm+yDRGJOZT+XXE7K8UH8tT2piOMOs3/kzdO279U/1ad7up/nddvUo/tH6dh7f9EDAB64ebcxmB0SCwqSdwWvhCpEpE4NYnzbfBIFkiUSxZT/o8j4gYeeTxyvO0AZeXZf0NhlPAnyWco8cLwqWPMeu9MI4jEXsxecSix4vBOav3MXDH08WW4zhoJ32XF+3b6uhpDccrGHHiOsGQwe0qIiWiJM8jeVWWyFupfNJJSvHWb/x3Vf9UD701ArtEwARsl2hblxHYFgKz6TibKD4nQpS5ikT1ydN2rn3K6pPH+ssI9MGyT56oPX7YV8RLizwoHce8K0b838ymHhIXiVc+vZDjnIiZgAnRxa1IE0RKXiqRq2VESkTpuF4I6//L+oYY/2Hq32Jr8JER2D4CJmDbx9gajMBOENj0dAQNqq+mNQvk8Vp1IX3ytJXZp6w+eay/jEAfLPvkQfultIgM36yDYIl4sbjDvXv36u/rsNWKY3u3b9ekim888oMkiHgx5Q1CwHd42GoKnIgY6flOpOUoAmAUSRApRK7sBVs+nVJE1V7AZpEQ6o7q0jLyTjrJ0PVP5+GtEdgVAiZgu0LaeozADhDoOx2xXtXws/QezufdT5J3vPh1FcpmtUN05WL9DTZTxT/WBxGvSLoU9kYiViJVMY+IF9/6giwgbDmORCzm8f5RBDRothdmGC+M8R/WC3i0RTjECGwPAROw7WHrko3AMAj0mI7Ix34fpt+dh6uJQFxcg/e8lq2aCAAiXpSNDnTlYv3Txp/6IJIl4oUnjHe28IyxEMf3Z+8jRVKVEy/eGWEBDjxdN27cqLQYRMyT1z0fHyKAFwIMERFZCGw8Zp+PryLR4yNPh/IRr7ya9lkqn3SSUrzKiOVav/Gnzmy6/qkeemsEdoHAl3ehxDqMgBHYLQIMoX6xhkq+5bX3QkMCIEn8zu+njyqn397MSkC8CGdxDIT3whAW3oCIzfO81IRDvESsmpDDMnWsrfVPG3+Wl9eS8xAvFtvgu2ASVrtjPT0IFwN9ebcUD2lgGpgG64STjh/hDNSUBy+Dpowpv7cNAuALThBXkRxhJWJGShEqeWwIUzqF8R5Znq5UPnklpXiVa/0NMQarHFfChJPxb7xofeofOFqMwK4QmA2tdqVus3roIHjSKWnbV/ymt9Zv/NvqXAzfdL1TeZ3q3+xptvK0bSFZLAUP4RJpEhHjw8mQrEi84seX6+mDiYBFIgY548PCkpzMKVxb6582/tSDEvEi/IPr16vX02Ae7wgEi0E6P3lcGHhG4sXACxIhApETMcrchHRqf5tQ1FLGNvQLUw3iUS0vgwb44KswpRNxgiTpXsQ03DukVH4dMfsrxasc6/9RjZLx3179i3Vx1f422t8qnTHe+ocdf8Z70Xf/zLVr1w4ZTN9SjpHv5s2bx8jtrEbACKxEYBkJ+/RWMXvJewWpisQrzxiJmOJWES+ly7fWf0iEhc2pxP+bV3V5R7YHBwfVa198UX/jh0gG+/w0mM8zaGCqATteHNJrUJ+n9/EiApAopmqCG1gikJ7rEOBkQ4hHwBOMwVakCNIF6WX6J/vkZ/oowqcAuGel8usEs79SvPUb/13Vv1gXvT8NBN55551BL/REe8AGRc7KjcBJQYB3wpaRsMJ15B6pc8kLxgp3y0Qr4EHEHiXvV5y+uCxfKc76Fz1iU8If4sV0xG8/S27XJAz+Gdwz6NfAPxKxnHjFPAzelMdErIaz9U/4gK0E7BARLWFNmNJBnLg/9n7Z+3eSvZ/UaYsR2CUC9oDtEm3rMgJDIlAiYS0esCFP07onhEDwgIl4PUvEi7ddGNAz8JdHRQRM6IgAiCQQThg/eVwgFZADxB6xGobin71P9v5N2ftZbBQOPPUIDO0B8yqIp76K+QKNwAyB2UDUeBiBsSFw//79eqoa5Ov7iXgxlQ1SoCfqECrIGNPZIvES+SKMONJoiiJ5KYOyIHN8KBiP2Ntvvz22yx/8fCKOOhmFyftFuMJ0D7p6v/J80qFtKV5h1t+8+2X8t1f/VA+9NQK7RMBTEHeJtnUZgaERgISVPGFDn5f1TxqBc+fO1df/Lz/9afVRIk5tIiIGAdAAnX2RrlI+ETHIAnl4ed2yiIAw0TREYhUmEqwwwoW3VksUIVMayG4eRlwsn2OJdMV4hVn/YXsAE+O/+fqneuitEdglAp6CuEu0rcsIjAUBkTBPQRzLHZnmeYQpiGmu4DQx8FUbASNgBIzAzhHwFMSdQ26FRsAIeLDrOjAqBEy+RnU7fDJGwAgYASOwXQT8Dth28XXpRmC8CHjQO957M6UzW1EP+eislkXvAgtp9aHaLumdxggYASNgBIzArhEwAds14tZnBMaCgKYhjuV8fB7TRKClHmpBDRbN4JtSvB+0jIgRRxrSkkfvi00TVF+1ETACRsAIjBkBE7Ax3x2fmxHYFgItg95tqXO5RmApAqE+inixYiGLObCCIcICGiUiFomXFuaIqx6aiC1F3pFGYPII4DHPV0flYU5cFAaQSBO969gewljgR8I+YfFhUal8pWdbirf+3eEf78Uu903Adom2dRmBMSAQBrtjOB2fgxEAgYOLF2uvVSReWo4+X35eREweLxEvVt4jLYOgfPl5EzHXMyNgBEoIQID4xU8ecIxdieRKREnkigdEhEWixrHySpfCYvmKY1uKVxnWf0huwSSS203hH+/FLvdNwHaJtnUZgaERMPka+g5YfwEBfQfsJzOPl4iXliAXecqJWE685D1DhZafz4kYHbjFCBgBIyAE9MkE2RPCFRbJlcKUDhuDt52PvYsoxTQiajFMOuO2FK8w6//BHCphsmn85wp2vGMCtmPArc4IDIaAyddg0FvxcgT4DtjZs2ery5cvVx89fz7/ADMDGAYgGtzkRIwOOf8AM2nJo8FPJGL6jtLys3GsETACU0JARAqPirxU2BC+c7eKXMX0YIaNaiMKsfyIr/U3RDbis0v8473Y5f6ovgNGRaayb1Lef//9zsVZv/E/tfWvjXz5O2Cd7YMTbgGB+B2wUPyzZ8+qH7711vxjy0TxpBkbzWClJCJesQ0zEOLHoGiV2P7b/se6s6q+dIn3+OPkjL+wH2+++WZNuvTwBpvAlGhsjx4CQQzwwGBXiEewSdQdvO3sk59p0ggPiLA/pfLrBLO/Urz1bxf/ob8DNioCxtQQ5nhuUp6np6ldxfqN/6msf23ki4ZhAtbVPDjdNhDICBjE6+DgoHr48GGtjeU38FoxOOHpKJITMeIYFGnwzFNrBkGxLXchYrb/tv+xztSV7Zh/Hn+cnPEXt1pE6saNG/P3uiBP2J4u5KorUYvlxypm/Q2RjfhsE38TsJs35/UvdrLzwJ47mue/jgG0/sNBTk/Y59mMf/OeyeD17+rV+T0p7swI2LPPq+rZH6tq/8ViqmLg0z80wevm2Xuhqva+vFik9U8U/xkBy4kXteP8+fPVhQsXqr3bt+vKwtNgnjxHIkZEJF4QLcgYwlNo0ut9AcKWETHbf9t/1S3qynHE/d9I+r81HsBzv7EB9oJNxws4NAE7de+A8fSTJ6ZDifUb/7HUv3Um8z74XVXd+236/XNViVi1tSHiSVen75EHXblY/8Txf/Bg7vWCeF25cqW6mFZF3Nvbw+VVVxeIFaSKp6N6NwPyxT5hxIl8kYEnp5C2fOEOphRtS2z/bf/HYv+3VceXlXvS6z8eKLxYEHF5Q2VT9KCH69c9jg93lE5h2J88Xan8iGcpXuVa/+GIJscVDIXTcfCP92IX+9lz6F2obNcBcKr07amWx3BjqMR9xPqN/2mpf4emqltLuLDfeGCePmuIwH4a91786qJHDOIFUSINgicLWScP5aIrF+ufOP54uhLZqj1ekK6ZPH36tJ6SuJ/I2IVE0hA6Wn56/0Id7yxLHc5gBW8XfYGIGMfYeHXeSq+t7b/t/2mx/6rT62ynXv/Bioc4IjoQMQSvGKJj9lVPsCkS2aOYTnllc0rlKz/bUrzKiOVaf/Oq0nHx/7u/+7sI/873R0XAYgXrg4QqZZ+85LH+xuD0xc/4N0ahL34bq3/L3vlqOTmmEV7+RuP9EsnCwyXCdPB0kXidTyTqwktNYQdPqurhLL4tT4nQxVOx/onjv79f7aefBOL1IBEutsjjx4+rhy++WP38vffmTzpLxItBpKaRYY9oUwyMIhGTjny7sfaXF9zx2Prd/3SsKsVk7n+P1/8CKvYDYWDPgxtEdkYEC5IU05EGkgRxwwMY02OLaNdyCsR8Kp/8klJ8LI901r89/HUfdrUdFQFTJ7nuxVPpyXvmzJl1sy6kt/7mafECKB0OjP946t+7P/tZVV261OGulZOUiND9x01aPF6ReKkEiBi/SMSUZxXxUhnaWv9RIiYsp4B/TrwgZXjFWJiDuO+k6YOvpEESA6Q4MGHgIuLFgIc4BkwMiningzARMdW1fGv7b/tfGhTn9SQ/dv83nv4vvzfrHC8jNqtIlGxR9MiITC0jbvH8rL+dWO0C/3gvdrU/KgJGhe3zFOc40w4j0NZv/E9y/Vt32mGs+/l+JEJ4v2pPWCJZyyQSMaYlMq2QcvqI9R8SsSngXyJevAMmrxjfCFOa+mPNiYhpgBOJVyRZ9As8mWZw1IWI2f7b/p9k+9/HzsY8rv/2flEfpur9i21hV/ujImCw3HWEJwaar7tOvra01m/82+pGKXxU9W/NtlO6nlIYROjSmiRKUxNL5a0bZv3TwF8eLghXJF6xvhDHh5ohYnfT9MRvtSxLH/Pg1YKERSLGQJPwXGz/bf/zOrHseFT2f9mJdoybcv2392lY79PQ+HdsIhtPNioCJjdu16vkaZWWe+2aZ1k662+Wb16GUYwz/uOof8eddsg9ffBZes/m9+UphvGea18LcnCcL9ahNPlWUxTPfiXl+dpirPVPG39IF1MN5fGidsSl6edL0qcFOkTEniQi9g/pMyaRTKkjh2TxJFdPcyMRY8pYSWz/bf9L9aItzP3fOPq/tvuzTjj2ApG9YF/2QFMICYvpON7lu1/Wvz38wXYIGRUBGwIA6zQCJxmBTU475DtgH6dVDllQo/SuFziJeGklRMK08EYbERPxovxlYv3TxZ8VEOsl51MFicRL9YUPM/PLidgbrEKW3vOKxEt5GCyViJjivTUCRsAIHAeBf/POO8fJfuy81j8s/se9gafuO2DHBcT5jcBJQmC9SUPtV4ZH6vLXm3e9RITuHDQLa5ArfvsL8sU7YaRXHi1FH78jBvGiDEgdZSpP7v2ifOs/xHKK+FMHIF6sfHjnzp2Fb4Ix7RDihUDCiCcd6X+TZkHwpPrVV19deDr94Ycf1k+zyQMJI550EDWLETACRiAigOcLwVbIRsjzJU8Y8TFdWtmn9sbfTVOjeQ81psfLzusxeMjyfCq/jpj9xXIVH8tT2pjO+jeHv/Dd9dYEbNeIW58R2DACf/Xd726kRC18IVIlInDrk8bLtUC80pL1pM/ziIiRJydeLHNP+jbJy7L+BsMp4M8y8znx0seY9V4Yx5GIvZiIWE68+OgyAxemHLLNP8JM+j4LLbTVWYcbASNw8hFg9csFcpMuCRvCe3ElIvUXiajxAAhh+jQzUSBvEpUl8lYqX2nZluKtf3f4x3uxy30TsF2ibV1GYFsIpKdtm5KcCFGuvFdtJKpPnrbz7VNWnzzWX0agD5Z98kTtjx49qg8hWCJempKodBwz2CH+b2ZPrIljsCPilS8jznFOxEzAhKi3RsAICAGRpmVeMOzJP8288SwchPCAiB+rs0av1Ta8YNa/PfxVD3a5NQHbJdrWZQS2iMCmpiPqFDWovprWLGgjXkqrbZ88yptv+5TVJ0+uV8d9yuqTR/rybZ+y+uTJ9eq4T1l98qDvUvp23dWrV2uCJeLFaof37t2rbt26VW85RvZu364HOs+fP6/4MegR8WLKD0+O+SYkW00BEhEj/fvvv1+X4z8jYASMgBDARkQSRvgRL1TyiLFYEMJ06OgFI+zf/Zf/wqYWlbVRL5j1bw1/3bddbk3Adom2dRmBLSPQdzpivbjGZ+k9nM+7nyDvePHrKpTNaofoysX6G2ymin+sDyJekC+RLoW9kYiVSFXMI+LFR5f1aRK2HEciFvN43wgYASMQERBpKnnB/tV/+A91Uh4QaSp07gWDkB0kLz0C8dqkF8z6t49/feN2+GcCtkOwrcoI7ASBHtMR+dgvqx/eebiaCMTFNXjPKy7WUbo+ES/KRge6crH+aeNPfRDJEvFioMM7W3jGWIjj+7P3MSKpyokX72ywAAeerhs3bswHQDFPXvd8bASMgBEAAbxg+h6aHuTwAIcJ/noYRLpz586xmS8WxL48Y3W6ZIcQ8iKa9lwqv04w+yvFW//u8I/3Yhf7X96FEuswAkZgtwhg/uk0ugpLyO+90JAASNJ8Kfr9FD6zEhAvwlkcA+G9MISFNyBi8zwvNeEQLxGrJmS2vH0qMxfrnzb+rGrIlB5ET5g1oCFs/+7divXEIFw8WZZ3iziEQRNTETXgIYx0/Ajnibby8JRb72qQzmIEjIARAAHsC3YCz9X3vve9GhR5tHjPSxLfWVWYvGGyW8++/e3qg7RQECLPWql85Wdbirf+xqO4Dfz/7u/+LsK/8/0TTcBoIDzplLTtK37TW+s3/m11LoZvut6pvE71b/YkTnnatpAsloK/kPoYkSYRMT6cDMmKxCt+86uePpgIWCRikDM+7CypvyuWyhaZU7i21j9t/KkHJeJF+AfXr1evp+XjeToMwWKQwg9yheTEi2WcGURpAJUTsTrTBv46tb8N6Gkrwvrd/8R+pm2/rf4cN/w01j/ZFBGm9GRn/mCIBYAQphnqYZHIFl4vflqQg3QQMh6CsmAQtgs5Un4devh3JN7651jvAv/DO7GbvTPXrl07ZDC70bmg5ebNmwvHPjACRmDDCCwjYZ/eKiorea8gVZF45RkjEVPcKuKldPnW+g+JsLA5lfh/86ou78iWAcxrX3xRf2OHSAZF/DSYyTNAvPB08UN4ik16DWry9D42AkbACAgBHuowVRm7UX+LK/Wb2CBWWIVYMQ0akbee98BECjRtmjSkhaTxWQ2EVVtZOOhI+XXs4d+ReOvfOv7vDPwh7RPtATusut4zAkagFQHeCVtGwgoZc4/UueQFY4W7ZaIV8CBij5L3C29am8drWTnEWf+iR2xK+DPo4Qnzt2ff2dG3eESuciKWEy/qj/JcT94z8pmIgYrFCBiBNgT0oAZbof5Sni4RrXW8X+iBpOHZp7wfpAWEkLr8em/xz/qbGQ1D4b94N3Zz5EU4doOztRiBYRHosTAHJywitIp8xYsjLdMZ+5KvWJb1N1hOAX+IF0+NeeIM+YJEsaAGT4ZLH1RmwMKv9DFm8pCXMj5J3+eBiOE587tfsXV53wgYARDAXujdrx/MPlOBPYJw5dMKST8nVmkfjxiyiqT999m7ZSJadabZn/UPi3+8F7vcNwHbJdrWZQSGRKAnCRvylK17Ggjcv3+/JlkMeL4fiJcW1RB5yomYphvy1JQ4CJamKOp9sZyIvf3229MA1VdpBIxAJwRkR375pcMhce79oiCFrXr3i7SRpEHmkFh+HTD7s/5m2njER1iL2AKVwjaNf7wXu9w/rG271GpdRsAIDIOASdgwuFvrUgRY1vns2bPVFzOPl4hXniknYiXileeJRIyFA/hZjIARMAJCAJvw62R/NLAnHHsEicIDJiGMj8bX0wpTIFvCIkmQLYtlLYSlB0y5WP+w+Of3Y1fHXoRjV0hbjxEYEwLqBFoW4RjTqfpcTjECcREOPxw4xTfal2YERoyA+sNdnmK0d9a/S+QbXQn/oRfhsAds97fdGo3A8AhE4z/82fgMpo6A6+PUa4Cv3wgMg8AQ5IcrlV5td3310qvtVPXv+rqDPq+CGMDwrhGYFAIMel9pVmaa1HX7YseFwAry9cEHH9SLaejdrlUnn38HbFV6xxsBIzBeBLba/ofu/6x/0Ir3X//xH6v/9p/+02DnYA/YYNBbsREYGIGhnnwNfNlWPzIEWuqhFtRg0QxWOmT1sPr7PC2nT5xWRSSP3hdrSe5gI2AERozA1tt/i90ZMSQ+tVOGgAnYKbuhvhwj0AkBdz6dYHKiHSEQ6qMGXiwdzxLyLCWPsFJYiYhF4qXVxLz8/I7um9UYgQ0jsJP2H+zNhk/fxRmBzgiYgHWGygmNwClBwJ3PKbmRp+syDi5erL1WkXj5O2Cn6x77aoxAGwIl4rWV9u/+r+0WOHzHCHgVxB0DbnVGYFAE8s7HqyAOejsmr3y2CiLfAXv8+HENB98BYzBWWooebxdeLnm6hB/L0fMrvSfGR06ZmsiHVhGWfH5/9rFV5ffWCBiB4RBgyjDveiF4r7fV/rEAWkq+Vub+r4Zhqn//+Owbfgdsqjff120EdopATr52qtzKjEA7AvpOzuXLl6uPnj+fky9NL4REIXqvSx9kLn0HTISLvIi/A1bD4D8jMFoEeCjCTx4vPXzZZPt/kmwL5AtbYzECY0BgVB4wnnroKeWmwFnnSaf1G/9TW//ayJefAG7K1LicPgjE74CF/M+ePat++NZbC56uZU/GySriFdvwMs9YUFfv2v7b/se6k9ePPscef7zfB7Z6sZ3c032s9p/IXVHc/xVhmUrg0B6wUS1Dj/GTG3qICmD9xv9U1r828jVEI7NOI7AEAYjXwcFB9fDhw+ov7typfpzS8mQccoV9fvPNN49MUcqJ18svv1x7vWjLGsR1IWK2/7b/p9L+L2lvMWro+s+5lKYYH7f9/0WasvzF+fPVhQsXqr29vXjJ3jcCgyIwKg8YHSmrXm1CmFOMPE/TWbqK9Rv/U1f/rl5dXv1nTwCffV5Vz/5YVfsvLk8eY5/+oTlaN8/eC1W1lz36sf6J4j/zgEXipTp2XoOm27frIDxUECq1UZ6IIwwcEYgXRIv3vZDSYG4ZEbP9t/1X3aor0DH+PP5Yb/zVpa32af9fvPZa/TBHt3JuU0TE3P/V0Ey1/7UHTC1jQ1s9/dxQcWsXY/3N0+e1gdtQBuN/iH8zLO0G7IPfVdXj3ycClh4QXvzqciIG8SL902dN2evmOfuVqrqUTcO3/onj/+DBfBGOI4MkiFYiWRArfhqItREv1Xi9LwbpkidMBG6dqWEqr8vW9ufQ/nTBa9NpjP/JxJ+VT+V9bHtIsnb7Z9phWlkVz5e86njWedhz6dKlharn/mfa/c9CZdjhwag8YHElnL4Y4K6mcz1z5kxdxDoeMOs/XInI+PdDYCz179as/l/t6AHrQqryNHiyEDxnSImI5XlKacjbJV2exvpB7oTjP/OAPX36tHr06NGRaUKEM3ja39+vLiSSFgUihsjjpTjCIWcM5PQyP3F6yk4bjeHKZ/tv+y8SoDqx7nYs9v+kjX/wPoM9bTauZEo4D03wdpfaOfenFP5n775b2xLshkRedhbhmIfPPGB531Lqp/I07n8aZE9y/28PmFpH2mpKSQhaa/e4xtP6myk9a4EeEhv/ZhndAMlauxurfz3e+WIa4eVvLBKhe79tSNWF1IcdPD30eNHxnE9hF15qLu/gSVU9nMW35Sl1aBEc6584/mmgNB8UpYoB8XqQCBdbhCXqH774YvXz996bD7hKAy95uMiDPaJNQcggXPKIEVeSjbW/UuEdwqzf/U+HatKa5CT3v7TP+FAE4kX7lpeba6NtQ9DU7rUVIPKM/yS9xsIHLbAZ2JSLyQvGlve/2C+J+59p9z+lOrGLsOxNjF2obNehTrI9RTlG0w701KecanWo9TeDlNVILaYw/s20jzHUv3d/9rM0v29xesXi3Vp+VOqI7jefZ6py4qWSIGL8IhFTnlXES2Voa/1HO0JhOQX8c+LFwElTiIj7Tpqq9Eo2ENPAS+/vQGQYnMkTVlq4Q/Utbm3/bf+j9yXWjWX77v820/+BcU688rbMVMWciMX2z7T73Gbcu3dvgYgtu5fuf6bd/yyrG9uIGxUBo2H1eYrTNqVkXcCs3/if5PpH57MpiR0R3i+IlDxebToiEeP9MDxnlNNHrP+wI5wC/iXipSfX1B++36M0POF+fTYQIy4SLwZjepJOvxAHdKuImO2/7f9Jtv+0hePIkPU/tlOuAeK1rC2LiJFW7f9u8HYRHm0GtqMvEZuC/QWvKFPvfyMW29wfFQFbdwoGc/rlot4ESNa/3hQQ4z+i+tdj2mGXNoMhvrQmiVpF1LroVRrrnwb+vOfFIClOGVId0JY4PtRMurtpeuK3Zivm5oM1pWcLGWNwFwd4DDRF0mJa23/b/1gfVu27/9tc/0ebZCy3blvmHpHn7588qW1Hfs+izdCUZmxNvghHnk/H7n+m0f/ofu96OyoCls/pXQUGT6u03OuqtF3irb9ZvrkLVqQx/uOof8eddsi9fPBZswpSfLeL8DbRC8nEr1o1UWVoiiKrIF78mkKbrfVPG3+8XUw1ZMAk0UvzrFwWV0bUoOpJImL/cPPmApnSQhsM6OJqapGIMWWsJLb/tv+letEW5v5vc/3fjRs3WhfNWdaWuTdvpPfCkuGob9Mqm8HDm9K3wNz/TLv/aWvj2w4fFQHb9sW6fCNw2hDY5LRDVjP6OC0vz4IabURMxEtL0IOnFt5oI2IiXlotqe0eWP908WdQpIFRHESprkDCSkSsHnylJ+eReCkPA7fS4E3x3hoBIzAOBHj3Tu/frdWWZzM/1rEZbVfs/me6/U9bndh2uAnYthF2+UZgiwgwaejXGygfj9S55JnS971yIpYTLy2ugWrlyYlYTryUh2kduVj/tPGnPpQGUXi+WDaaJepFwiIR+19/+7fVj9OCGxAtCZ4v3v/CQyESlhMxpfXWCBiBcSBQIl6r2nJq5FXpY8vLbIYe9MSrdv/j/ifWh13tm4DtCmnrMQJbQuCvvvvd6v2PPz526RCjfCl6iBg/SYlE5XkgYlFKeWK89q1/uvizZPT9+/dVFRamHBLItEOthigi9qfJK1a9+uo8T5xySCDTDgmLJIx9vhMJQbMYASMwDgTy6Zxd27LOnpkgcZoy4SWbge3g/S8W6MjF/c90+5+8Luzq+Eu7UmQ9RsAIbBGBNA1rU6KO6PLXUyeWVj9E2HIM2SI+lz558jJ03KesPnmkL9/2KatPnlyvjvuU1SeP9OXbPmX1yRP14uFCGERduXKl/l5P/qSaY94VI/5veO9jJgzWPk4PIFg1TdOYFMcx4cSTDmGwZzECRmA8CKhNrtuWuQLy/Elq39iGZTYD24LI1tQHhb8+tqxPnoLqOqhPWX3yWH8bArsLtwdsd1hbkxHYKgKvp9I3MR1RJymjruMu2z552srtU1afPNZfRqAPln3yoL20KhkvzGvlMp5ma1n6vdu3qx+lPBCrXOJqh3FFNRGxUp68DB8bASOwWwTwSueydltODyGffutbZZsxe3iDDekqfWxZnzxt59OnrD55rL8Nge2H2wO2fYytwQjsDAGmI/aR+h2vz9J7OJ93z807Xvy6CmWz2hS6crH+Bpup4h/rA8SLb/bwYx9R2BtnztRLysf07DNYY8oh3/rSp0nYcqwVEPM8PjYCRmB8CPRpy8rzUsFmRDvSdrXuf9z/tNWNbYbbA7ZNdF22ERgCAaYjpoHqOsLHJh//PqyAmFb13WuxDvniGstWTeQcIBWUT7r6OK22mH9bzPqnjT/1Inq8OGY6kd7rIO7fv/RSTa7iB5VJx/LxIl3R64W3i3e+RMRiHPksRsAIjAeB6PHirPhcBNMLad8xblX7/yK1e1ZH5XtfvPOlhzfRi55ftfsf9z95ndjFccsQaxeqrcMIGIFtIcB0xETDOgtLyO+90JAkiNKcVAUilhMvvR/GkvQs1DHP81KjNidehNbL26cyc7H+aePPVEMGS0gkXqon+3fvVh+lg3wgpvgSuWLgxi8nYgzqPBVRyHlrBIZHgHbKwxIkEi+dmbzYndt/egh5IS1RHxfuERHjoU4+FdH9z7T7H9WzXW/PXLt27fmulUZ9N9OHNC1GwAhsCYHZd1JaS//01kJUiTTx4WRIlr7jla9qWE/fSARM3waDyJEGj5pExKvNq6Z01r/oLQSXU43/N6/Wtx4CxkqI8nipPrD94Pr1CoIVF9jQQIx4yBQDNAnLWeP1ylc6FBEj3ARMaHlrBIZHAALGQhzyeMUzIrx3+w/9nzxirIA4J2Du/yLUR2arEHma+59/fPaN6r/9p/+0gMEuD0zAdom2dRmBIRAIndAR9VkHpPgSEcqJl9JqmxMxwrsSL5WhrfUfJWKnEv8ZAdN9j1sGTK998UX1ySef1MEMzvhFIhbT598RKj1Jj+m9bwSMwHgR0AOTY7f/wgIf86t2/zeHIu5Mpf81AbMHLNZ77xuB7SDQRsJaOiCdhAwxH2lmhaUuAhF7lLxfF8L0xS75SmmsvyFipxb/AgHTk+pvP0tu1yQ8/dY7XhznRCwnXnkeEzEQsRiBk4FATrw20f5/+aUv1dMRjyDg/u8IJDHgtPe/JmAmYLG+e98IbA+BEglb0QFt72RcshFICAQCJuL1LBEv3mFk4MVgjOmFJZIFEUP07gj7kZxpmqLIm4kYCFmMwDgRKBGvTbb/22FRnzkC7v/mUPz/2zufXjmO6+w3ZeEaBig4sBCBjCUyG62oRZiFJDMbA0aW8ZL+AhLwLgNxEyBrxSuJ2wD8BCGzMeBVAiM7Uc5CEhBxYwKvQ4oJmTehYIMEDBOO7ltPzzxzz61bPdM9f7p7pn8F3Nvd1fVn+ulzTtVTp7pqiicQMAjYFOWeZx4KgZyE0QAN9SaoVwjMCdj9+/frb8AU9deBeOk6hhIR0/1IvGJ6nedETN+AlfYdyvNxDQIg0A8C169fX2yQHgde8to31X8tTKVvwBb7DtL+5RBP6hoCBgGblMDzsCNAIJIwGqARvJAJ/4Q5AdMCHE+fPq3+5+c/P7WgRhMy7ojpvshX03dhMb+ImLxlImD5Ah0xHecgAAL9IqCFNrwIR1xQp+lXbKL/f//FFzUJq8um/WuCeBLxEDAI2CQEnYccGQImYTRAI3sxE/s5YQpi+tBrYg/P44IACAyCAO3fILCPrdKhCdhLYwOE3wMCINADAnR2ewCZKlojgDy2hoqEIAACGyKAvdkQQLJvAwEI2DZQpAwQ2EcEaIT28a0d3m9eIYeamqQpR22D0ioPAQRAYP8R2Jn+r7A7+48cTzB2BCBgY39D/D4Q2BUCnoaxq/IpFwTaINAgh1oBTd926QP9S5cuVdqsdRkR0z2lUVrlUV6VQQABENg/BHau/w12Z/+Q4hfvKwIQsH19c/xuENgEARqfTdAj77YRCPLojteNGzfqTZi1KpqCFtAoEbFIvLwkvfJoA1eVARHb9suiPBDYHQK96H+wN7t7EkoGgeUIQMCW48NdEDg8BGh8Du+dHsATPb58uSZLkXh98skn9TLyDx8+rFc71GNGImaPl4mXVkRUWq14qLwQsQMQDB5hEgiUiNdO9J/2bxLytA8Pee699947HvKH3mIVxCHhp+6pIZA3PqyCODUJGNfzsg/YuN4HvwYEBkCAfcAGAJ0qK1ZBRAhAAAT6QSAnX/3USi0gsBKBV199td6b58qVK9Xd4+PFXmCeXiiPloKnE9ojZo+XR8+Vxhsv+3sx7Stkjxh7gAkhAgiMCwHrpT1e3gtsm/r/LNkWbcIsW0MAgTEgMCoPmBrRT7e8Ms3t27db40z94H+w8tdEvvCAtbYPJNwBAnEfsFD8ixcvqr/54Q/r6YaO1nRC2Wh3zhzvo4lX1GERtLYbNWP/sf9RdixXmxzpf7Tvf0WcRbw0rdhTi3VvI/1Pm68XA+1fEZapRA7tAXt5TEDL+A25fDD1g/9Byl8T+RqT8vNbQCAhIOL1+PHj6smTJ9VPPv+8upniNDouciX7fO3atTMdsZx4vf766zVJky67E9eGiGH/sf8Haf9bWpah5V8/s0S8NtX/nyQi982FC9XFixero6OjlmiQDAR2j8CoPGBqSLVy1TaC5hQrHKfpLG0D9YP/wcnfO+8sF//5COCLP6TO7/9W1flvL08e7z7//eyqa56jb1XVUTb0Q/0TxX/uAYvEyzJ2wZ2mzz6ro+ShEqGyjmpEXEEdRwURLxEtLcyhUOrMLSNitcTJ5wAATBlJREFU2H/sv2WrFqAN/tH/6Nb/aqOr6+j/N2+/XQ/m+FUubIqJGO1fDc1U2188YNaMLR09+rml4joXQ/2z0efOwG0pA/if4D/rlrYD9sFvq+rr3yUClgYIL393ORET8VL65y9mZXfN873vVNWb2TR86p84/g8eVF9//XUtUGc6SSJaiWSJWOnPHbEm4mWJ9/diIl32hJnAdZka5vLaHLE/J/anDV7bTgP++4m/Vj6197FpkKSz/mvaYVpZVZ4ve9XlWddgz5tvvnlK9Gh/pt3+nBKGHi9G5QGLK+Gsi4Hc1Wpcz507VxfRxQNG/dcXRhD810NgLPL3y7n8v9PSA9aGVOVp5MlSkOdMoUTE8jylNMrbJl2ehvqF3J7jP/eAPX/+vHr69OmZaUKKV+fp/Pnz1cVE0mIQEVOwx8v3FC9ypo5c/F7Mo+zS0RjvfNh/7L9JgGWi63Es9n/f+j/yPgt76awGThwUr0ETebtLeq50pfi/+vDD2pbIbjjYy65FOBbxcw9Y3raU2qk8De3PDNl9bv/xgFk70tFTSkJUp9NNjSf1z6b0dAI9JAb/OwGN7qdbk781vvnSNMIrr50mQvf+e0aqLqY27PHzE4+XGp4LKe7iK7NnfPysqp7M7zflKTVoESHqnzj+qaO06BQlwRDxepAIl44K8o49+fa3q3/56U8XHa5Sx8seLuWRPZJOiZCJcNkjpnulsDX9KxXeIo76aX9aiEljkn1uf6WfcVBExEv6bS+3nk26LYJmvffRgNgz/o/pMxb50mUzZFMuJy+Yjvr+S+elQPsz7fanJBN9xGVfYvRRZXMdbiSbU5TveNqBR33KqVbHUv+sk7IaqdMpwH827WMM8vfhL36R5vednl5x+m0tvyo1RPdnM8OqnHi5JBEx/UUi5jyriJfL8JH6zzaExnIK+OfESx0nTyHSvb9IU5XeyDpi7nj5+x0RGXXO7AkrLdxheYtH7D/2P3pfomwsO6f92077J4xz4pXrsqYq5kQs6r+m3ec24969e6eI2LJ3Sfsz7fZnmWzs4t6oCJgUa51RnKYpJV0Bo37w32f5U+OzrRAbInm/RKTs8WqqIxIxfR8mz5nKWSdQ/0lDOAX8S8TLI9eSH+3f4zQa4X533hHTvUi81BnzSLrahdihW0XEsP/Y/322/9KFTcKQ8h/1VM8g4rVMl03ElNb6/2Xwdik+2gzZjnWJ2BTsr/CKYertb8Ril+ejImBdp2BoTr9d1NsAifq7TQEB/xHJ3xrTDtvojAzxmx1J1Cqi1qZep6H+aeCv77zUSYpThiwDPuqeNmpWui/T9MS35ivm5p01p9dRZEydu9jBU0fTJC2mxf5j/6M8rDqn/dte+yedVF+uqy7rHSnPPz97VtuO/J1Fm+EpzbI1+SIceT5f0/5Mo/3x++77OCoCls/pXQWGRqu83OuqtG3uU/9s+eY2WCkN+I9D/jaddqh3+eA3s1WQ4rddim8K/iBZ91etmugyPEVRqyBe/iPHzo7UP2385e3SVEN1mBz80bxWLosrI7pT9SwRsX+7desUmfJCG+rQxdXUIhHTlLFSwP5j/0ty0RRH+7e99u+jjz5qXDRnmS7r3fwgfReWDEf9mlbZDA3elPYCo/2ZdvvTpOO7jh8VAdv1w1I+CBwaAtucdqjVjB6m5eW1oEYTETPx8hL0wtMLbzQRMRMvr5bU9A6of7r4q1PkjlHsRFlWRMJKRKzufKWR80i8nEcdt1Lnzfc5ggAIjAMBfXvn7+866fJ85kcXm9H0xLQ/021/mmRi1/EQsF0jTPkgsEMENGnoV1soXx6pV5Nnyvt75UQsJ15eXENVO09OxHLi5Tya1pEH6p82/pKHUidKni8tG60l6k3CIhH7r5/9rLqZFtwQ0XKQ50vff8lDYRKWEzGn5QgCIDAOBErEa5UuJyWvSpstL7MZHuiJT037Q/sT5aGvcwhYX0hTDwjsCIG//dGPqtsPH25cuohRvhS9iJj+HEokKs8jIhZDKU+873Pqny7+WjL6/v37FoVTUw4VqWmHXg3RROxPk1esunRpkSdOOVSkph0qLpIwnWufSBE0AgiAwDgQyKdzttVl/3rNBInTlBVfshmyHfr+Swt05IH2Z7rtTy4LfV2/1FdF1AMCILBDBNI0rG0FN0RX/jg1Ymn1QwUddS2ypft5WCdPXoav1ylrnTyuLz+uU9Y6efJ6fb1OWevkcX35cZ2y1skT65WHS0GdqKtXr9b79eQj1brWt2K6/w/67mMe1Fl7mAYgtGqapzH5nq4Vr/tKp6DOHgEEQGA8CFgnu+qynkB5/iTpt2zDMpsh26JgW1NfFP6tY8vWyVOouo5ap6x18lB/EwL9xeMB6w9ragKBnSLwbip9G9MR/SNt1H3d5rhOnqZy1ylrnTzUX0ZgHSzXyaPaS6uS6YN5r1ym0WwvS3/02WfVxymPiFUe4mqHcUU1E7FSnrwMrkEABPpFQF7pPHTW5TQI+fytt8o2Yz54IxvSNqxjy9bJ0/R71ilrnTzU34TA7uPxgO0eY2oAgd4Q0HTEdUL9jddv0nc4f2ifW9946a9tUNlabUp15YH6Z9hMFf8oDyJe2rNHfzpXcNwPzp2rl5SP6XWuzpqmHGqvL29NoqOuvQJinodrEACB8SGwji47zysFmxHtSNPT0v7Q/jTJxi7j8YDtEl3KBoEhENB0xNRR7RK02eTXvwsrIKZVfY8arEO+uMayVRP1G0QqVL7S1ddptcV8bzHqnzb+kovo8dK1phP5uw7d+8tXXqnJVdxQWem0fLxJV/R6ydulb75MxOI95SOAAAiMB4Ho8dKv0nYRml4o/Y73Vun/N0nvtTqq9vvSN18evIle9PypaX9of3KZ6OO6oYvVR9XUAQIgsCsENB0x0bDWQUvIH31rRpJElBakKhCxnHj5+zAtSa+FOhZ5XplVmxMvxdbL26cy80D908ZfUw3VWVKIxMtycv7LL6u76SLviPl+iVyp46a/nIipU8dURCPHEQSGR0B6qsEShUi8/MvsxW6t/2kQ8mJaoj4u3GMipkGdfCoi7c+02x/LWd/Hc++9995x35XG+m6ljTQJIAACO0Jgvk9KY+n/8ctTt0qkSRsni2R5H698VcN6+kYiYN4bTEROaeRRczDxavKqOR31n/YWCpeDxv/779SvXgRMKyHa42V50PHOjRuVCFZcYMMdMd0XmVIHzUHLWcvrla90aCKmeAiY0eIIAsMjIAKmhTjs8Yq/SPFr639o/+wR0wqICwJG+xehPjNbRTcPuf359YvXqr/78Y9PYdDnBQSsT7SpCwSGQCA0Qmeqzxog3y8RoZx4Oa2PORFTfFvi5TJ8pP6zROwg8Z8TML/3eFSH6e1vvqkePXpUR6tzpr9IxGL6fB+h0kh6TM85CIDAeBHwgMnG+l9Y4GPx1LR/CyjiyVTaXwgYHrAo95yDwG4QaCJhDQ2Qf4QNsTZp1gpLbYKI2NPk/boYpi+2yVdKQ/0zInaw+BcImEeq//xFcrumoNFvf+Ol65yI5cQrzwMREyIEENgPBHLitQ39/9eXXqqnI55BgPbvDCQx4tDbXwgYBCzKO+cgsDsESiRsRQO0ux9DySCQEAgEzMTrRSJe+oZRHS91xjS9sESyRMQU/O2IziM58zRFkzeImBAigMA4ESgRr23q/2dhUZ8FArR/CyimeAIBg4BNUe555qEQyEkYDdBQb4J6hcCcgN2/f7/+BkxRfx2Il65jKBEx3Y/EK6bXeU7E9A1Yad+hPB/XIAAC/SBw/fr1xQbpceAlr31T/dfCVPoGbLHvIO1fDvGkriFgELBJCTwPOwIEIgmjARrBC5nwT5gTMC3A8fTp0+p/fv7zUwtqNCHjjpjui3w1fRcW84uIyVsmApYv0BHTcQ4CINAvAlpow4twxAV1mn7FJvr/9198UZOwumzavyaIJxEPAYOATULQeciRIWASRgM0shczsZ8TpiCmD70m9vA8LgiAwCAI0P4NAvvYKh2agL00NkD4PSAAAj0gQGe3B5CpojUCyGNrqEgIAiCwIQLYmw0BJPs2EICAbQNFygCBfUSARmgf39rh/eYVcqipSZpy1DYorfIQQAAE9h+Bnen/Cruz/8jxBGNHAAI29jfE7wOBXSHgaRi7Kp9yQaANAg1yqBXQ9G2XPtC/dOlSpc1alxEx3VMapVUe5VUZBBAAgf1DYOf632B39g8pfvG+IgAB29c3x+8GgU0QoPHZBD3ybhuBII/ueN24caPehFmroiloAY0SEYvEy0vSK482cFUZELFtvyzKA4HdIdCL/gd7s7snoWQQWI4ABGw5PtwFgcNDgMbn8N7pATzR48uXa7IUidcnn3xSLyP/8OHDerVDPWYkYvZ4mXhpRUSl1YqHygsROwDB4BEmgUCJeO1E/2n/JiFP+/CQ5957773jIX/oLVZBHBJ+6p4aAnnjwyqIU5OAcT0v+4CN633wa0BgAATYB2wA0KmyYhVEhAAEQKAfBHLy1U+t1AICKxF49dVX6715rly5Ut09Pl7sBebphfJoKXg6oT1i9nh59FxpvPGyvxfTvkL2iLEHmBAigMC4ELBe2uPlvcC2qf/Pkm3RJsyyNQQQGAMCo/KAqRH9dMsr09y+fbs1ztQP/gcrf03kCw9Ya/tAwh0gEPcBC8W/ePGi+psf/rCebuhoTSeUjXbnzPE+mnhFHRZBa7tRM/Yf+x9lx3K1yZH+R/v+V8RZxEvTij21WPc20v+0+Xox0P4VYZlK5NAesJfHBLSM35DLB1M/+B+k/DWRrzEpP78FBBICIl6PHz+unjx5Uv3k88+rmylOo+MiV7LP165dO9MRy4nX66+/XpM06bI7cW2IGPYf+3+Q9r+lZRla/vUzS8RrU/3/SSJy31y4UF28eLE6OjpqiQbJQGD3CIzKA6aGVCtXbSNoTrHCcZrO0jZQP/gfnPy9885y8Z+PAL74Q+r8/m9Vnf/28uTx7vPfz6665jn6VlUdZUM/1D9R/OcesEi8LGMX3Gn67LM6Sh4qESrrqEbEFdRxVBDxEtHSwhwKpc7cMiKG/cf+W7ZqAdrgH/2Pbv2vNrq6jv5/8/bb9WCOX+XCppiI0f7V0Ey1/cUDZs3Y0tGjn1sqrnMx1D8bfe4M3JYygP8J/rNuaTtgH/y2qr7+XSJgaYDw8neXEzERL6V//mJWdtc83/tOVb2ZTcOn/onj/+BB9fXXX9cCdaaTJKKVSJaIlf7cEWsiXpZ4fy8m0mVPmAlcl6lhLq/NEftzYn/a4LXtNOC/n/hr5VN7H5sGSTrrv6YdppVV5fmyV12edQ32vPnmm6dEj/Zn2u3PKWHo8WJUHrC4Es66GMhdrcb13LlzdRFdPGDUf31hBMF/PQTGIn+/nMv/Oy09YG1IVZ5GniwFec4USkQsz1NKo7xt0uVpqF/I7Tn+cw/Y8+fPq6dPn56ZJqR4dZ7Onz9fXUwkLQYRMQV7vHxP8SJn6sjF78U8yi4djfHOh/3H/psEWCa6Hsdi//et/yPvs7CXzmrgxEHxGjSRt7uk50pXiv+rDz+sbYnshoO97FqEYxE/94DlbUupncrT0P7MkN3n9h8PmLUjHT2lJER1Ot3UeFL/bEpPJ9BDYvC/E9Dofro1+Vvjmy9NI7zy2mkidO+/Z6TqYmrDHj8/8Xip4bmQ4i6+MnvGx8+q6sn8flOeUoMWEaL+ieOfOkqLTlESDBGvB4lw6agg79iTb3+7+pef/nTR4Sp1vOzhUh7ZI+mUCJkIlz1iulcKW9O/UuEt4qif9qeFmDQm2ef2V/oZB0VEvKTf9nLr2aTbImjWex8NiD3j/5g+Y5EvXTZDNuVy8oLpqO+/dF4KtD/Tbn9KMtFHXPYlRh9VNtfhRrI5RfmOpx141KecanUs9c86KauROp0C/GfTPsYgfx/+4hdpft/p6RWn39byq1JDdH82M6zKiZdLEhHTXyRizrOKeLkMH6n/bENoLKeAf0681HHyFCLd+4s0VemNrCPmjpe/3xGRUefMnrDSwh2Wt3jE/mP/o/clysayc9q/7bR/wjgnXrkua6piTsSi/mvafW4z7t27d4qILXuXtD/Tbn+WycYu7o2KgEmx1hnFaZpS0hUw6gf/fZY/NT7bCrEhkvdLRMoer6Y6IhHT92HynKmcdQL1nzSEU8C/RLw8ci350f49TqMR7nfnHTHdi8RLnTGPpKtdiB26VUQM+4/932f7L13YJAwp/1FP9QwiXst02URMaa3/XwZvl+KjzZDtWJeITcH+Cq8Ypt7+Rix2eT4qAtZ1Cobm9NtFvQ2QqL/bFBDwH5H8rTHtsI3OyBC/2ZFErSJqbep1GuqfBv76zkudpDhlyDLgo+5po2al+zJNT3xrvmJu3llzeh1FxtS5ix08dTRN0mJa7D/2P8rDqnPav+21f9JJ9eW66rLekfL887Nnte3I31m0GZ7SLFuTL8KR5/M17c802h+/776PoyJg+ZzeVWBotMrLva5K2+Y+9c+Wb26DldKA/zjkb9Nph3qXD34zWwUpftul+KbgD5J1f9WqiS7DUxS1CuLlP3Ls7Ej908Zf3i5NNVSHycEfzWvlsrgyojtVzxIR+7dbt06RKS+0oQ5dXE0tEjFNGSsF7D/2vyQXTXG0f9tr/z766KPGRXOW6bLezQ/Sd2HJcNSvaZXN0OBNaS8w2p9ptz9NOr7r+FERsF0/LOWDwKEhsM1ph1rN6GFaXl4LajQRMRMvL0EvPL3wRhMRM/HyaklN74D6p4u/OkXuGMVOlGVFJKxExOrOVxo5j8TLedRxK3XefJ8jCIDAOBDQt3f+/q6TLs9nfnSxGU1PTPsz3fanSSZ2HQ8B2zXClA8CO0RAk4Z+tYXy5ZF6NXmmvL9XTsRy4uXFNVS18+RELCdezqNpHXmg/mnjL3kodaLk+dKy0Vqi3iQsErH/+tnPqptpwQ0RLQd5vvT9lzwUJmE5EXNajiAAAuNAoES8VulyUvKqtNnyMpvhgZ741LQ/tD9RHvo6h4D1hTT1gMCOEPjbH/2ouv3w4calixjlS9GLiOnPoUSi8jwiYjGU8sT7Pqf+6eKvJaPv379vUTg15VCRmnbo1RBNxP40ecWqS5cWeeKUQ0Vq2qHiIgnTufaJFEEjgAAIjAOBfDpnW132r9dMkDhNWfElmyHboe+/tEBHHmh/ptv+5LLQ1/VLfVVEPSAAAjtEIE3D2lZwQ3Tlj1MjllY/VNBR1yJbup+HdfLkZfh6nbLWyeP68uM6Za2TJ6/X1+uUtU4e15cf1ylrnTyxXnm4FNSJunr1ar1fTz5SrWt9K6b7/6DvPuZBnbWHaQBCq6Z5GpPv6Vrxuq90CursEUAABMaDgHWyqy7rCZTnT5J+yzYssxmyLQq2NfVF4d86tmydPIWq66h1ylonD/U3IdBfPB6w/rCmJhDYKQLvptK3MR3RP9JG3ddtjuvkaSp3nbLWyUP9ZQTWwXKdPKq9tCqZPpj3ymUazfay9EeffVZ9nPKIWOUhrnYYV1QzESvlycvgGgRAoF8E5JXOQ2ddToOQz996q2wz5oM3siFtwzq2bJ08Tb9nnbLWyUP9TQjsPh4P2O4xpgYQ6A0BTUdcJ9TfeP0mfYfzh/a59Y2X/toGla3VplRXHqh/hs1U8Y/yIOKlPXv0p3MFx/3g3Ll6SfmYXufqrGnKofb68tYkOuraKyDmebgGARAYHwLr6LLzvFKwGdGOND0t7Q/tT5Ns7DIeD9gu0aVsEBgCAU1HTB3VLkGbTX79u7ACYlrV96jBOuSLayxbNVG/QaRC5StdfZ1WW8z3FqP+aeMvuYgeL11rOpG/69C9v3zllZpcxQ2VlU7Lx5t0Ra+XvF365stELN5TPgIIgMB4EIgeL/0qbReh6YXS73hvlf5/k/Req6Nqvy998+XBm+hFz5+a9of2J5eJPq4bulh9VE0dIAACu0JA0xETDWsdtIT80bdmJElEaUGqAhHLiZe/D9OS9FqoY5HnlVm1OfFSbL28fSozD9Q/bfw11VCdJYVIvCwn57/8srqbLvKOmO+XyJU6bvrLiZg6dUxFNHIcQWB4BKSnGixRiMTLv8xe7Nb6nwYhL6Yl6uPCPSZiGtTJpyLS/ky7/bGc9X0899577x33XWms71baSJMAAiCwIwTm+6Q0lv4fvzx1q0SatHGySJb38cpXNaynbyQC5r3BROSURh41BxOvJq+a01H/aW+hcDlo/L//Tv3qRcC0EqI9XpYHHe/cuFGJYMUFNtwR032RKXXQHLSctbxe+UqHJmKKh4AZLY4gMDwCImBaiMMer/iLFL+2/of2zx4xrYC4IGC0fxHqM7NVdPOQ259fv3it+rsf//gUBn1eQMD6RJu6QGAIBEIjdKb6rAHy/RIRyomX0/qYEzHFtyVeLsNH6j9LxA4S/zkB83uPR3WY3v7mm+rRo0d1tDpn+otELKbP9xEqjaTH9JyDAAiMFwEPmGys/4UFPhZPTfu3gCKeTKX9hYDhAYtyzzkI7AaBJhLW0AD5R9gQa5NmrbDUJoiIPU3er4th+mKbfKU01D8jYgeLf4GAeaT6z18kt2sKGv32N166zolYTrzyPBAxIUIAgf1AICde29D/f33ppXo64hkEaP/OQBIjDr39hYBBwKK8cw4Cu0OgRMJWNEC7+zGUDAIJgUDATLxeJOKlbxjV8VJnTNMLSyRLREzB347oPJIzT1M0eYOICSECCIwTgRLx2qb+fxYW9VkgQPu3gGKKJxAwCNgU5Z5nHgqBnITRAA31JqhXCMwJ2P379+tvwBT114F46TqGEhHT/Ui8Ynqd50RM34CV9h3K83ENAiDQDwLXr19fbJAeB17y2jfVfy1MpW/AFvsO0v7lEE/qGgIGAZuUwPOwI0AgkjAaoBG8kAn/hDkB0wIcT58+rf7n5z8/taBGEzLuiOm+yFfTd2Exv4iYvGUiYPkCHTEd5yAAAv0ioIU2vAhHXFCn6Vdsov9//8UXNQmry6b9a4J4EvEQMAjYJASdhxwZAiZhNEAjezET+zlhCmL60GtiD8/jggAIDIIA7d8gsI+t0qEJ2EtjA4TfAwIg0AMCdHZ7AJkqWiOAPLaGioQgAAIbIoC92RBAsm8DATZi3gaKlAEC+4iAGiGPBO7j7+c3HwYCdIYO4z3yFCCwAwRK+4Atq0bTE0v7AJ7JI7vzxrkz0USAQF8I4AHrC2nqAYExIjB055f6h5WKqeM/LPrUDgIg0ICAVkDUt51aoOPSpUuVNmsWuWoKuqc0Sqs8yqsyGgODj43QcKMfBEZDwDTKIaWJQcqkvxjiajmKl9IpTh9YO+hccVFZS+U7vY6l+9QP/pOQv9QJ1yIIWokuhgcPHlT6iyGuVqd4LRmuuOfPny+S6VxxuudQKn/xzQ/1Txv/JCTY32HbP+spRxAYGgETrxs3btSbsGtVRAUtoFMiYpF4eUsK5dEGziqjSMQgX0O/ZupPCIyKgKkRjiMWupZCRXLlhtrkSkqmuNhR1rXz+i07LpbvezqW7rsM6j8ht8IkklvwPwz5+z9/9mc1CdBeTA4iTU+ePDlFrkykTK50VFwkalrNTnGxrDNxmeeF+qeNP/Z31mbF9qnP9sc6zxEEhkKgRLw++eSTuv/38OHDerVT/bZIxNTvEykz8dKKqEqrPpvyFokY5GuoV0y9GQKjIWBSHAUrks4dF8mV45xOS5ZKyTTn10QppjFRi3EqOw+l+46j/hMvpDEB/5u1CB2S/GmcUYTL4cKFC/VpJFeOM7k6f/58pT95vewFu3jxYp1PZZmoxbiF58sVpaPkivqnjb/EwXZF57Y12N/d21/hTQCBoRDQoG70eJl4eUl6e7FyImZ7IVuheyZxeg7lzYnYXySPWD7TY6hnpl4QGA0Bc0dWHhWPAqrhff3111eSq5her1TK6sbbCloqP77+0n3qB/+pyd+fJ4+WyZVI09HR0Upydfny5VqVTNSUp4moqXzra0n/qH/a+GP/h2n/oi5yDgJ9I+C9+XLi5emFHlzPiViJeCmt+m4efDcRe3blSr3/16uvvtr341EfCBQROPfee+8dF+/0FHkr7AMmxbl27VpNuqw86qxpZEReLiuhlEvESsrnzpyUTF4wKbDOlV+uaQWNjEhxS+XHxyzdp37wn6T8ff/7tWqIjEl/5OW6khowBREtebdEsky+7t27VxM1pVFaeb4+//zzOv3Vq1drInc36Wyu33WC+b9T+kf9NSqTxX/+sT32tz/7K6zVhm4z3L59u3Vx1D9t/KOgqP+mPp4H0HVPfUDJiPp3paD2Q33DKMPqI+rvjbT5ejGwD2YRlqlEDr0PWCUCNuTfcRaSkokQHn/00UeLO8kLUcclclXHpQ5hfa10OlfQPV0rv0NSvDpOR4dS+b6nY+k+9YO/ZGty8vfOO8fH6e+zo6Pj1C07TiOI9fXvr16trxWnc6XRPV1/ef58fa24f79woY7T0aGkX76n46n71D9t/OeCgf3tx/4mL8SiXZW928Zf1O1V59Q/bfwlH+rPud9m+ZNc2AYoTm2E22Ll0bnbDd1X2ihLapfUBrmtUtu0+Hu9Oj7mb7IY/N/XXhuU/4zKA5aUp+ilYhS0v1HQU14IRqElkvWo2yS9YHr/adRxUy/MuwlDedHW8kJT/7Txn7r+9fj8sv2aArqNoG96FFL/uHVx1D9d/EseL3mu9Kd2Q0H9QHnELKOJdNXx9ngl4lWnlxdMQWV+8/bbZ75r9tT6OtHcA/biD2lF3/+tqvPfrmNb/Xv++1myrnmOvlVVR9kOvNQ/DP5De8BG8w2YJV7uZSmWlEyrQClYoaxoiksjHDqcclE7nd3WUtw8Xan8uqD5v9J9l0v9aSxpHnJcFW2cwP9mjdJByF+akuQFNLzIhh7O8+jjoh1O52/I9C3YR5melvSrBmv+78x96p82/kkubFewv7u3v1EX1zlXJ9htwzr5N81D/fuJvwY43W8Q6dKAnQiXyZfkQnZApCrNjlqsDSCboHeuON2zrVB6TTvUFHlNgfc3yWqv/K2y0jg8+G1V3fvv9Pf/qsrEyvfyo+4rXZ1+jTyqKw/UPyz++fvo6zrj4X1V21yPlMgNrUc4NDKm4Gudm5xJWR2ksAoxnfO6USiV7/w6lu67jFgu9c/IMfhPQP7SqONL6dtMfdvloGXlFdyw6dzEa5EuNY5356OXG+kf9U8bf+y/1OtUu7aL9kcdYJdbV7jGP+m5BlHWCdQ/XfzVj7AHK5Iu9b0kF+p7mVzpqD/39xxvmVP8X334YT1wpbZIA4EiYhogVBvlwUOn1/FiatrkAXuetq4UsTp/VFWXv3vaIybiJaKkNAryZCl0yaNyVVceqH9Y/PP30df16AhYHAWxIlrBrHAiSTGdwJKiejQkppcnTcrrRiHmc/kR7NL9WJ7SUj/4RzmRTBy6/Gns/dl8tUMtsGHPl71eXoZejV0dl8iX9HVb+kf908ZfOob9nw0w7qr9iQOMwrtr2JS8Uf+7XSE/lX6f8Vf/zH00PZTaU/W7PBivZ1ObK6Lm/piPBkH2QWn+MfX5vk6R2otSBEzkKxIxp49HTSO88trM+2WSZSImcvT4+WnidSHFXXxlVsLjZ2n7kPn9pjwlQkf9JwgMjf/JL+n3bFTfgKlhaVq5UMZZSqkgxbMyulGW8kpZ5Yq2YopgqQOYPtKslbtUfoS7dF91auU26gd/5C/pX9LDZasgSn8vplUSFXaif9Q/bfyTXGH/d9P+yb6pvewa5LlQ+3vu3Ll6+qFWPtS5Qh/fgFH/YeAveZEMSr9NvNTv0rX6eY6zp8z9PBMvya4G6kS27O3ytPlIxFTPIjSsgph7u5ReHq9IvBZlzE9MxORJc1hFvJwuP1L/aW+j8NkF/kN/AzaqVRDT6Ea98pKODkkB6ziveqNVctK7qP90rqB7ikuK6Wz1KoqKU36HUvm+p2PpPvWDv+QI+TtZgTQ1cvXqhl5VyisgarVEB61iuiv9o/5p4y+50h/2f7vtX5o+WONqfNselU9B6eO5rrsE6p8u/mpf3deS3Ojcba5lKE+j/p7+LKdagdcr9XqVQ10r3m3GmTQrVkB89sfV8a++Ux3/53fbr5aotMqjvJuusEj9u8V/6FUQRzMFcdm0iqSMC/d0nPrlKYQeCUkEKuniLDidPWSl8p1Wx9J9jcZo1IX6wd/TIyxXkrWpyt/NpC9pWd96br10xx81/8tPf1pdVUQKxmkX+kf908Zf8jVl/dvF86tMtXNdgtpMeyW65GtKS/3TxV/thftaajPc3kZZUZz6ZCUv2T8/e3bqG2Xnk+dLe1PKE6Z2Skd9B/bmm286ydKjpsa9mf66BE9N7JKnKS31D4t/03vZWvyQe4Cpboc23ielTQ9e/w0x+kn94I/8Bf0L+3/14X0+o3/Uv9h/bZL4J4HQqLh0cpDnP6D6pVtdQ5pqWGMfvV7xXO9ll4H6Dwd/9edyj5fiYr/QfT7LlNLXecK+XpqVoT2/5PHS0bM0okfsVNzcA/bv56vjz77V3tMlz9SXR7O/tp4uecZUh+rKPWPUPwz+eMCSlSaAAAjsIQLJO1y99ValcdvXh/j51D9t/IeQOeoEARDYOgKaTeIZJZ6N5FkUqkzn+pPn297v2ks299pqYSh5trw4lPLoXH9aqVffhGmBKHnEmoK+3Xr429mCGk3fepW+zfLCG/mqia6n9G2Y78Uj9Q+Lf3wXvZ2PxQOm0Y300EXvVpqa4EGPUyMijtR95dV3Jw6eG+xRlVL5Tqtj6b7yqlzqB3/LShyRcxzyh/5hf7C/+9z+2JZ1OeKBOhwPVJf37rTbfv/qg7l9dV9Q1+qHleKVXn/2eMnrZc+Xvv0qxZ/yfslzFr4Bs1fL5USPWH5P3i/FNcWrXHu8XJ7zxDrjeV4W9Z94JHNsjGVTfFv8h/aAsQiHrUk6Wsl1dHDnehmRM1HrYxrMMqJI/SzCYrnd5SIYbhwliwrIf3/T4ND/5oE67N9m9s+2o+1x2x3wtvU6HfUfDgH0u3Tboj6Y2xe/b127j+Z0Ppp45QRL1zkRe/rmm8eekhgJkM/zTr0JlI7u+Dutj+vkcd78uE5Z6+TJ6/X1OmWtk8f15cd1ylonj+qFgFm70nFZ5wIvFF4oi4qNcIko7/MoNPLf3LlG/9F/9H+GwK7sn/Fte3SnOX73Fc/VOd5loP7DIWCSG8mLZDsnXrkM5URskSd8C7YgWPO4SMR+9b3vLSVgJgSxU99EvJzWx3XyOG9+XKesdfLk9fp6nbLWyeP68uM6ZXXNAwHLtGtZ44IX6mQpcI/82FjhhcALIZnAC7CZFwD7w1Yg7gi6aZrSLAg/c5sjBOhwCFCb952n2fX7V5/Guqej+3/574jXcdn5M0vOlwhamIKYEwCuzy4WcmiYQMCi9qRzvAB4AZrIJV4QvCA2F8uIEl5QvoW1nGhAQvbEnbdS++K0Opbue3BrCvYnYrHqfNcdcOpfjsCh4h+Jl/sCPjYRsZgnThmspw0W9gdbeMjmBEyeE61E+PsL7UmHvvHSX1tSorJVh+rK81D/MPgPTcBeSoI9qqCVcJKS1b/Je4x4Twhf62ZyWddp4ko53g8spnPeO3fu1OlL5dc35v9K911GLJf6wV8ig/zdXKgP+vdBjUW0E7Yd2B/sr4Sj1L4sFKjhvmUoytWu2p/4WzgHgT4R0P5ekvVr167Ve4KlwZMqDaYltnJcJYJV9wulA7qvdN4TLOZR3/GblPadd96pLl26VK98qL2/7t27V//pvBQep+gn6e/zJ2lfy99U1Ys/lFLN4rSq4eePZyv2adVEnSuuKagslamyVYfqygP1D4t//j76un65r4ra1iOlkpJJ+dzIeDNXEzOV5Q5NGglfFO10jtNypnm6UvmLAtJJ6b7Lpf4ZMRZeOa6KM07gP5NJ5A/9y/WkZF+kOw6l+9Yr7A/2x3KSy5XiLSeb2F+XzxEE+kRAg3cezFTfTzLsAT39jki4FG8i5t8o2yj5V7o6pD7kxRSn5ee9PL2JmJalv3z5srPWRy0hf/StGQkQSdJfvRR9WrX+aN5LzpeTP380K+L5i/Ly6SJeJlauzGX62kfqHxZ/v4fej2NZht7O9qRI9ZSRrtOINpkm4rp1pH7wT0rYeUsD5G/9LRvQvxMEsD/YnyHtz4kkcgYC/SGQCFf9/XLs97l2TbX0t+6O85RD2Uudx6C0ylOH8N3Xf166dPzZ0VG9KmI+BdFTAj1N8NPUB/Dfr74z2yTY1/mCHHHhB6XR8vHK4/Q6tp3eSP0zrCJ2u8R/6CmIo1qG3p1Yzdt3kEKqQZKiOUhZFaejgzsuVsZlc/lj+c6vI/Wvv5AF+M86jshft4Vi0L8TBLA/2B+1a7F96rP9O5FEzkBgeAQk+9IF6YT7ezkRi79S99w3tB7VhC6QsAXxclzDIhwlIpQTL5M2H3Mi1oV4uQwfqf8sEdsF/hCwoEHuxNdKM4+3Arbp2LYlabH8UD3eL7yPtaGP8oH8rV7EwMQB/Ws3SBTlC/tzggD2f1jv38mb4AwEhkNA9tHtroiU7UITEcuJV55HZcn7dYZ8iYQ1EDDHmwiVFs5wmvy4zoIaeRm+pv4ZEdsV/hCwuZ67EydlcZAiWpkc5xEOvF94/ywTNtBtSHqUL+fXEfnD+yBbE+UD+4P9nUr7E20h5yAwBAIl4hXbdPf9pJP603Upzl4y5XXfQOk1/fAMEVtBwEyEOJ5dufEQMIGAzTU9Lbix0vugpFa+qGSKk6I5WCl1dCiV73s6lu6rM6aybQSUjvpnxg/8H0ocFsQN+UP/aoFI/7A/Z6eIl+yr8dKxdB/721/7E98F5yDQNwLWf/flYp8r/paSt0t5ZHPdJ4npdR6JmKYFtt2I+RAIBs+wnDgOTcBGswpiUsCkR9WplW8ct1jZJt1XnP60nK9CaqTr66SA9bX+6f6jR4/qlXQc6bLiyjq+5zw6xvvOQ/3zlYUSPsJEf+CP/Elf0D/sj+wB9ne/2x/pMgEEhkLAfS3Zkdjfyn+P+h1a7VDpvGqizt0fydPrWuVpdVn9fXTzZvX3X3xRSkYcCPSOwDmtgth7raHCW7duhStOQQAEQAAEQAAEQAAEQGBHCMz3mq3+45c7qoBi9wGBX794rfq7H/94sJ86uo2YB0OCikEABEAABEAABEAABA4bgbRPGAEEhkZgNFMQhwaC+kEABEAABEAABEAABCaAgEiYPWETeFwesYDAr39diOwvCg9Yf1hTEwiAAAiAAAiAAAiAwBgQGNoTRv2DSsGQ0w/14KMhYHfu3KmuX79+6mVoQYy4KIZuKo3SOnz11Vd1nD6wdNC50umeQ6l839OxdJ/6wR/5+yCqCfqH/cH+0v4sbMK22t9FgZyAQN8IJBL09ddfV/fv3z9V84MHDyr9xaA0Suvw4sWLOt/z588dVelc6XTPoVR+ZfJF/cPi75c0xFGLcAz55yVD0yo49RLv2gvCgWWI+1uGGPyRv2R/jtE/7A/2d4YA7U9/7Y9ljiMIDIGA+j9aoj7uE6Z9wxT37MqVxSbOutbf769ereN0T9dfnj+/SPPvFy7UcTp682ctfa90i/Kzh6T+YfAfkvvUCyAO/QMsh9qrQR1ANXoObITKRqiSiVV7bHmzRe8dov1AlE9/3hukJF+WMx1L95E/5A/5Q/+wP8v3+NuG/Y22mHMQ6BsBt/8iXSZNIkttyJXIl9KZqImc6Vp/OVGryy88HPXP+v994z80/6mG/gFRFm3Il43CL+tct20oY/nUf4IA+L+70guL/DWTW/SvXUcV+3PiZTyxPsf1QIsIb8Qn90Khf4erf1EWOAeBvhFw/2fhpXrnnePcC7aMXK3ygul+bt/iM1L/rP/VJ/5D859R7QOmb7euXbtWb+7q77e06d6NGzfSYjXv1hvpJQGuvwvTJnzagE/3FbTZ3qdpLm0aSajPlf/SpUv1vdRo1xv1lcqvE8z/le5TP/gjf+gf9gf7q/ZBQd+F0v5sv/1VW6s2fJvh9u3brYuj/mnjf6r/9/3v13Lz+PHjSv3H8+fPV1euXKnj9F3YkydPqgsXLlSXL1+u4+7du1d/+6U0Sqvvvz7//PP63tWrV6ujo6Pqbuqz5v3bOsH8H/WH/n9P+L///vvxFfR/PjQDjCMAOvcoAKOgJ6PEjAKf/haBUfDDHQVH//HCplYQL9iSb6EP1f75O2S9/2395f2LZdfUP/sOelvYq5wuYWj89VtPtT/JA6bpiFvxgs2BOFV+AZxT96l/5/gPzX9G5QFLClt7ufJRArxQeKHwQuGFSo0TXnC8MGom8EIdoBdOHoBHjx7V73fTf15ROfVxWxdF/dPGX4JyygulVbRTm7OpF+zdVO7as7Cof6f4D+0BG80y9LaSmkqojpYMsZeb91LgcXpCGi2ps2gqiIPTOe6NN96o8nSl8p1fx9J9l0v9J9NDclyFnXEC/5lMIn/oX64nJfsi3XEo3bdeYX+wP5aTXK4UbznZZ/vr51v3mGaLLNr8dcvYJB/17zf+Z+xvmhJ78eLFWiTiUvOvvvpqHaepiA5OJ8KmoGmHH2X91DPlO/P8eOY+9feKf/Y6dn758s5r6FiBvt1yR0NETEGjEgq+1rnJmb4Dc5CnTCGmc143WKXynV/H0n2XEcul/tlebOCP/Fl/0D/sj2Qh2knbTuzvbMCw1L5Yf3Qs3TeGEddDbH9EHP1cEZMu55IzdWLXCdQ/bfwlM0X9S3L5UlqbQN92OTx9+rQ+1XdgDiZei3SJPN1NTgCFjewf9e8M/3/6p3/y6xvkODoC5tE7dezlQVDwyJ47eFKSmE5p1EiJuGkEKqaXJ00Nl41yzOfyld+hdD+Wp3TUD/5RTiQTyB/6h/3B/tL+rN/+RoIpm9o1bEreqH824N0Vd6ffd/z1HLFdd/9Q/b9P071n8wU3tMCGPV/2esk7pj95veq41BdVf3Vb/U/q7wd/y3Jvx6E/QovfIW774+LUGNYf82qPBYVS+dR/gkAJH+9PkRqnRcJEjmtcdXTQ/SS0nT+ed34dqX+7i2sg/+i/dBL7h/1vsq9jsr+S07RqYec/y7dkPXka6kfSuf66BOqfNv6t+h9pYYzSRsveC6xeQn0udDtpf6l/q/gPzX9GtQ/Yso69jewyJZHAO2gVRRngVcTB6XWk/mZiBf7NnThhI1lD/tA/2xPsD/aX9qdb+yvyJMy6/kXSFc9VTpdA/dPGv23/L3mjVm6yvEv7T/3bwx8CNreQy4jVKhKF9wXvkxrbrlsXxMYZ+cP75o6fZEHBxBr7g/fbtmJZJw37023rFGPqo/ATCWr753Y/kq543pWAUf908e/a/ssLpiXq9WfvV5/6T/3bwR8CNre+yxo2e1+UtKmT1If3gfrBH/mbjVDnJAX92733D/uD/TlU+yPZ7ho0XVF4RNIVz3Vvl4H6Dwf/tfqfiXw9u3Kl9oYN0v5R/8b4D03ARrcMfTKaBBAAARAAARAAARAAARAYJwJpoQ2Fd4f6ddQ/LP7beO9DM0CPUHV1AWvEwsFTEfp0AVM/+CN/MwTQP6YAp7aIKcBpCp2DRsSFiWdvlNo3p9WxdH9KU2AjFm3P8UAdjgeq7TuP6bb5/qeuf1N9/qH5D4twBI1u44ZeJqh9uKGpv/lbJfDf/TQ45A/5E7HQn2RBwUQB/UP/3JxqMFQysur7Sadf57jNDjj1d0fg0PCn/ze9RdggYEHvl3XuVhlyRuEZhVeDjxeUUXibFLwQeGFkE/BCNa/gal3Rcej2N/6WNueHRgDaPHNMw/Nv1wM4tPxTf/Pg5q76/xCwaFHSOaMQ0xuFiCLA++f9q9MsOXDw4MqyjjReGLZCkNzghdtvL5x1vs0RArJdAtIG85jmEPGn/zGt/gcELGp0OmcUoP9RgPgKwB/81ZHVn2RBweRmV6NQyN8JAugf+jdl/TvRhNVnh0gAVj/1SQqef/sEFPs7Lfs7NAEb3SqIb7zxRpU6eqkNqqpP56u8/OAHPzh1rYu03Gwdd/Pmzfqofx988EF97ny6cN47d+7U90rl1zfm/0r3XUYsl/rBXyKD/KF/th/YH+yvZCG2E247aH/atb/WJY4gMAQC9P+m3f/uXeaGZoAn4zmzM4+2rzOVZN2pSvE3UP/6U5nAf/YdnmRIYdloWpRv5O8EAfQP/UuN4FpTCbE/+29/TizB6jM8QNv3AK1G/STFIeJP+zOt9mdo/jOqVRCl2m5Euy6mYMVRfodl83lj+U6vI/Wvt5gH+M8MF/KH/tmeYH+avyfA/p4slmN5of2JSHAOAv0jQP9vWv0/CFjQMXfio3dADbVGRNt2bFWGAt6H5rm8Ed8A/+Jbn3gf/JE/9A/7g/1tN7BA+7N++xvbIs5BoG8E6H9Oy/sl+YKABS1j9GFaow/h1denvH/ev8he9I5oMEBxbTq2bUlCLD/KIPKH/CF/w+lf1EXOQaBvBLD/07P/ELC5ljH6ML3Rh2hgef+8f3V+8b52X0bcHYc2JDXii/6dIID9Gdb+nLwJzkCgfwTQ/2H1fyj8IWBzXUurCtYj3XF0Oh/9VlJ10vSnKYYKfnGrRr9L5dcFzP+V7lP/ae+DoAJ/5A/9w/5gf2l/1B5sq/1VWQQQGAoB+n/T7H8PTcBeTp2pUYSkAPXv8FLOunCcl/J1nOK1XKhCIkl1uvTBe32tf7r/6NGjKo/TvVi+rh1cV7zvOOqfbQMgrISJ/sAf+ZM8oH/YH9mD3NZif2l/cpmQvYjtq64JIDAGBNzXi/LpOPp/h9//G0oGz4kBDlW56r1169aQ1VM3CIAACIAACIAACIAACIDAhBB4//33B33a0W3EPCgaVA4CIAACIAACIAACIAACIAACO0QAArZDcCkaBEAABEAABEAABEAABEAABCICELCIBucgAAIgAAIgAAIgAAIgAAIgsEMERkPA7ty5U12/fv3Uo+qDyPhRpG4qjdI6fPXVV3Xc3bt3HVXpXOl0z6FUvu/pWLpP/eCP/H0Q1QT9w/5gf2l/FjbhUNrfxQNxAgIgAAJ9ITD0MoxedjStOFMvcc4y9B8ZknpPpCQHi01odUPX+mMZaJaBljxsaxlo9A/7I7uC/cX+yq4oTGkbltkT8x8EQGBKCAzNf6qhf4BftjuSMvoO6gyoU7Bqjy82Ip3tYC4MFUTOmohaxNc46wj+09yI0DLA++f9y2ZE+4D9pf2ZSvtrO8gRBEBgOggMzX9GQ8D0yk2klo3CLiMXbYlaLD+KGvXPiFzEJx8FBf9mcov8vbtQp7QHUD0IoKNDSb98T8fSfeTv9Gbo6B/61zS4hv3ZzP5EW8Q5CIDA4SMwNAEb1T5g+nbr2rVr9eau/n7r448/rm7cuFGlxqX+tis1PvV3YTdv3qw3/9R9BW2W9+mnn1ZpJL8+V/5Lly7V91Knpd44uFR+nWD+r3Sf+sEf+UP/sD/YX7UPCvoulPbn8NpftfXqQ2wz3L59u3Vx1A/+yF+/+jf0PmCj8oCJbzMKjhcqtVhLv0XBC4AXQDKiP8mCgqdQ4gXYzAuA/cX+TtX++jtY25ZtHGvj1PIf9c++w90G7i6jJfR1MvCfHv54wG7dSrpyEvBC4QXEC4oXOE09XKxiihcaLzReaLzQu/ZCq+/x6NGjk87IBmde0Tn17FuXQv3gj/z1q39De8BGswy9rZSmEsrQShC93LyXAo/u2TRaUWfRVBAHp3PcG2+8UeXpSuU7v46l+y6X+k/cwzmuws44gf9MJpE/9C/Xk5J9ke44lO5br7A/2B/LSS5XirecYH/Xt7/Gd92jBo78btYtY5N81A/+yN+MG2yiR33lfbmvitrWo2+33NEQEVPw3HtfK87kLH3kr8s6aKRcIaZzXgtlqfw60/xf6b7LiOVS/2wvNvBH/qw/6B/2R7IQ7aRtJ/Z31ikotS/WHx1L941hxJX2Z/vtj4ircY3vpMu55FyDKOsE6gd/5O9kj991dGgT/Vunvk3zjI6AefROHXt5EBQ8sucOnhqpmE5p1EiJuGkEKKaXJ00Nl41izOfyld+hdD+Wp3TUD/5RTiQTyB/6h/3B/tL+7G/7GwmubHrXsGnnmfpnA+5dcXd68N+MvExd/ixHfR5HRcCWEZtVJMokKXpk3EleRtwi2NTfTKzAfzmJR/4+qFUJ/TvxiGJ/ZlPBsL8zz2ipfaH9OUGghI8HtvpofzRIWxqUPfmF5TORbuU9d+5cOUHLWOoHf+Rv5nRpqTJ1sm3pX5c6t5Z26FVA4io1qfN2nB7sWEeHZHjrOK1yprBsBbz0IpytXkVPZSm/Q6l839OxdJ/6wV9yhPyhf7IR2J/mFTixv7Q/0hGFtpt4z1LP/g/d/qbpS3VfQ/a+y5/yKShPPNd1l0D94N9F7pw2ylw8R/5W69/Q/Gc0HrChR7+oH++XPRapI5Bs18m0wj5GX5E/5A/5u1nrHfqH/enb/qo+2fkuQTbb36t3ydeUlvrBv0k2SvHI33b1r4TxzuOGZoAeIWoz+qW0CZD6L9//p4/RV+oHf+QP/ZMMYH9O77+G/d2994v2Z3ftj7DtGtImy2e8Xpt4IKi/GwLgj/ypLY46F891b1UYmv+Mbhn6BBoBBEAABEAABEAABEAABEAABA4TgaEZoBnqsm8r9B2WwzJPmeadO2hENr2xpd/uOK2O1N/8bQf4I3/WFfSv+TtV7A/213pC+7Nf7a/fW5cjHhg8MOpjRq9LPNe9XQbkb3P5G5r/VEP/gCigyzp3LILAIgiSlWVEuY9pUNTfTNTBf/fT0JA/5E8dO/1JFhTUNuoa/dtM/2owO/yjA7x5B7gD3GeSgj/4y+5F0hvPdW9VGJr/jIqALetc4IXBC2NlWkbU8ULghbCc4IXYLy8E9r+ZXNL+7b79s91oe4QAQAA2JQBtZa2UDvnbXP4gYJlkLetc4wXDCyZxWdZRYxR4s1Fg9K95iiH2B/uD/Tls+5t1R5Ze0gHevAO8FOAVN8Ef/DclwBCwTMmWda4ZBdz9KCD4Mwoto6Y/yYKCpzihf+ifzfUyoo4XGi+05WTfvND+3W2OEAAIwKYEoI2cNaVB/jaXv6EJ2OhWQdRO4Kmjl+S6WuyxoR3i47XO01zPOs575+jigw8+qOPi3hzOe+fOnfpeqfz6xvxf6b7LiOVSP/hLZJC/mwv1Qf+wPxKGaCdtO7G/tD+SjVL7qniH0n3LUJSrXbW//h0cQQAEQGDXCIyOgN29e7duwNPI2YJkffzxxzUOJma6cIOeRmIXGDmd47RRXZ6uVP6igHRSuu9yqf9ko8QcV2FonMB/JpPIH/qX60nJvmB/ThAo4WO7gv3F/lpScr1SvOVkk/bH5XMEARAAgZ0jMLQLLnevpka2nv7UdRrLJtOk4m+gfvBPSneM/HWbRoX+zVaik/1wSB3B2pbp6FCyL76nY+l+m2lc4A/+slvI32b6F3WRcxAAgcNGYGj+M6pVEN2JWGchBXdcVIbCsm+ZYvlRvKh//eWMwX9GXJE/9A/7g/2l/Wn+lnas7W/sC3AOAiBw+AhAwMI7dice7wPeB4sFo/+rlxL3wAGj35uNfmN/8H7j/Z6u999tDkcQAIFpIAABm79ndyLj6JiIWJdpFXgf8D5InBh93r/RZ/Qf77NsPfa/+zYSHjig/Vu//ZtGd5OnBAEQiAhAwOZoaAfrVaOPSqo0+uu6RHap/PgiSvdz7wv1gz/yh/5hf7C/tD/dtqgota9jan/jb+EcBEBgGggMTcBeTp2JUYRkoOvf4aWsdeE4L0PrOMVruVqFRJLqdF75yGkePXpU5XG6F8vXtYPrivcdR/2zbQCElTABf+QP/cP+yB5gf2l/1B7kbe2+tb+SZQIIgAAI9InAOTHAPivM67p161YexTUIgAAIgAAIgAAIgAAIgAAI7ASB999/fyflti10dPuAtf3hpAMBEAABEAABEAABEAABEACBfUMAArZvb4zfCwIgAAIgAAIgAAIgAAIgsLcIQMD29tXxw0EABEAABEAABEAABEAABPYNgdEQsDt37lTXr18/hZ8WxIiLYuim0iitw1dffVXH3b1711GVzpVO9xxK5fuejqX71A/+yN8HUU3QP+wP9pf2Z2ETaH+30/9YAMoJCIDAdBAYehlGL3aZVlJiGfq0vP6yTaiFVZJMluFnGwK2YXh4WMtgY/+w/7Lt2P+P3CWo94QTJt7f7JDbv8VDcwICINAbAkPzn2roH2Ck2YiVjVjV2LIRKxux2iawETsb0csmaKNhh7TceT0ApaMDGxG/W2NiosJG9Pu3Eb1lmSMIgEB/CAzNf0ZDwAS5G9Jlo4DLGpe2DXUsP75q6p815BGffDNq8G9u3JG/dh3lKF/o3wkC2B/szyovGPb3cO3viSXgDARAoA8EhiZgo9oHTN9uXbt2rd7c099vffzxx9WNGzeq1Dmpv+1KDVT9XdjNmzfrzR91X0GbJX/66adVGgWsz5X/0qVL9b3UaNUbN5fKrxPM/5XuUz/4I3/oH/YH+6v2QUHfhdL+0P5q8+lt9j9Ulvow2wy3b99uXRz1g//U5G/ofcBG5QET42UUmFHg1GIs/RaCUeDDHQVG/9F/9B/7F73kU5mF4e9AJf/b+uviRaD+2Xeo28Je5XQJ4N8//njAbt1KcnoS8ELhBcQLihc4dboWq5jihcYLjRcaL/She6HV93n06NFJZ2iDM68onQhA61KoH/ynJn9De8BGswy9rYSmEsrQShC83LyXAo/u0TRaUGfRVBAHp3PcG2+8UeXpSuU7v46l+y6X+k+mR+S4CjvjBP4zmUT+0L9cT0r2RbrjULpvvcL+YH8sJ7lcKd5ygv3dX/vr97vuUQNXlo11y9gkH/WD/5Tlr6vuvNw1w67T69stdzRExBQ8997XijM50zxsB8/Hjumc10JRKt/5dSzddxmxXOqf7cUG/sif9Qf9m32PGu2EbQf2ZzZgVrKvlh/sL+1PST6sQ1GvDrH9FXH2c0Wd6HIuO6NBnHUC9YP/lOVvHZ3ZNM/oCJhH79SxlwdBwSN77uDJSMd0SiMjLeKmEZiYXp40GW4bpZjP5Su/Q+l+LE/pqB/8o5xIJpA/9A/7g/2l/aH9jf2FLv2PSDDVpnQNm3aeqX824N8Vd6cH/9mgvPHoehxa/rr+3m2kHxUBW0ZsVpEoG73okXEneRlxiyBSfzOxAv/lJB75+6BWJfTvxCOK/ZlNBcP+zjyjpfaF9ucEgRI+HtiaQvujQeLSoPAJQuUzkX7lPXfuXDlBy1jqB/8py19LNdlusqFXAYmrxKTO23F6umMdHZLhreO6bjKpVZRUlvI7lMr3PR1L96kf/CVHyN8ntaosW4EydQQW6oT+YX+wv7Q/tL/t+x9p+mDdZ5HedPlTPgXliee67hKoH/y7yJ3TRpmL5/sgf0Pzn9F4wKY++sXz432zxyQNBCTbdTKtMXVilk6hxfuG903yYrnRuWUJ7xPeJ8lDqX1RvEPp/pS8T0M/v96D7HyXoN/s7+W75GtKS/3g3yQbpfhDk7/SM+48bmgG6BGaNt4npU2A1H8aiVeQZ0JxfYy+qz7qB3/JAPKH/mF/sL+0P7S/2+h/yJZ0DWmT5bo/Er0O8Vy/a5eB+sFfMhZlLp7vg/wNzX9Gtwx9emkEEAABEAABEAABEAABEAABEDhMBIZmgB6hWfZtyap55Lqf3s6xvjtxkEdMccu+3XFaHan/YaN3D/yXz+NH/tA/7A/2l/aH9td9iq79D+frcsQDhQdK7U70OsVz3dtlOAT5G5r/VEP/gCggbaYhLiNKfUxDpP5mogb+LEJhfWYRDhbhUAdg1eCN5UVH7D+LUElmJAcOHtxaNpDa5zTQXbb/fua2x0PoALd91lI6nh8CuikBHZr/jIqALTNuqxpyG2pGIRmFtLHuOgqJ/DWTa/QPL6j1ahlRwv5ify0n2N9us3CMW9sjBAQCsikBaStrpXSHIH8QsOzNLmvcpzAKxvMzCjzlUWDkH/lH/qfrBZq6/mfdoaWXh9ABXvqAK27y/BDQTQkoBCxTMrwQeCGkVPqTLCh4igleGLwwNhfLOmp4YfDCWE7wwnTzwtD+Dtv+Wm7bHCEgEJBNCUgbOWtKcwjyNzQBG90qiNqJO3W0k1xViz0utEN7vNZ5+tiwjvN+N7rwfkhxbwznvXPnTp2+VH59Y/6vdN9lxHKpH/wlMsjfzYX6oH+z/ciinbDtwP5gf6UopfZloUAN9y1DUa5ofw6z/YmywDkIgMCBIzA0A8zZtb0d6yzo4O/Auk5VjL+B+tff1wX8Z6sBIn+f1Cq1bDQ96jf6d4IA9gf7k7oca+1rif3df/t7YglWnx2CB2L1Uzan4PnxAMpWxpUf47nurQpD859RLcIhsNyIdJ1G5I6L8ju0nabk9DpS/3pLioP/rOOI/KF/tifYn+bv2aJ9N17YX9qfqbe/URc4BwEQ2C0CELCArzvxcXRcDbWYbNuOrcpQYPS9eS57xDfAv/jWKt4Hf+QP/cP+YH/bDSzQ/tD+rtv/iG0x5yAAArtHAAIWMJ766BfPj/dNZCd6B0SGFdemY9e2kxzLD+qH93fNDd09cAT+7UgK8neySAr6d4LA1Nu/EyQ4AwEQ6AMBCNgcZXdi8L5038zXDVebTnrENwo4+PPtiYhelA+8n3g/8X7i/Ww7sED7s773L7bFnIMACPSDAARsjrM+nls1+q+kSqO/rkuUl8qPr7h0P/c+UD/4I3/oH/YH+0v7022LkFL7SvsbEeAcBECgbwSGJmAvp87EKEIy0PXv8FLWunCcl+F1nOK1nK9CIkl1uvTBe32tf7r/6NGjKo/TvVi+rh1cV7zvOOqfbQMgrISJ/sAf+ZM8oH/YH9mD3NZif2l/cpmQvYjtq64d3NbG+46bQvtrHDiCAAhMB4FzYoBDPu6tW7eGrJ66QQAEQAAEQAAEQAAEQAAEJoTA+++/P+jTjm4j5kHRoHIQAAEQAAEQAAEQAAEQAAEQ2CECg3vAdvhsFA0CIAACIAACIAACIAACIAACo0IAD9ioXgc/BgRAAARAAARAAARAAARA4JARgIAd8tvl2UAABEAABEAABEAABEAABEaFAARsVK+DHwMCIAACIAACIAACIAACIHDICEDADvnt8mwgAAIgAAIgAAIgAAIgAAKjQgACNqrXwY8BARAAARAAARAAARAAARA4ZAQgYIf8dnk2EAABEAABEAABEAABEACBUSEAARvV6+DHgAAIgAAIgAAIgAAIgAAIHDICELBDfrs8GwiAAAiAAAiAAAiAAAiAwKgQgICN6nXwY0AABEAABEAABEAABEAABA4ZAQjYIb9dng0EQAAEQAAEQAAEQAAEQGBUCEDARvU6+DEgAAIgAAIgAAIgAAIgAAKHjAAE7JDfLs8GAiAAAiAAAiAAAiAAAiAwKgQgYKN6HfwYEAABEAABEAABEAABEACBQ0YAAnbIb5dnAwEQAAEQAAEQAAEQAAEQGBUCELBRvQ5+DAiAAAiAAAiAAAiAAAiAwCEjAAE75LfLs4EACIAACIAACIAACIAACIwKAQjYqF4HPwYEQAAEQAAEQAAEQAAEQOCQEYCAHfLb5dlAAARAAARAAARAAARAAARGhQAEbFSvgx8DAiAAAiAAAiAAAiAAAiBwyAhAwA757fJsIAACIAACIAACIAACIAACo0IAAjaq18GPAQEQAAEQAAEQAAEQAAEQOGQEIGCH/HZ5NhAAARAAARAAARAAARAAgVEhAAEb1evgx4AACIAACIAACIAACIAACBwyAhCwQ367PBsIgAAIgAAIgAAIgAAIgMCoEICAjep18GNAAARAAARAAARAAARAAAQOGQEI2CG/XZ4NBEAABEAABEAABEAABEBgVAhAwEb1OvgxIAACIAACIAACIAACIAACh4wABOyQ3y7PBgIgAAIgAAIgAAIgAAIgMCoEIGCjeh38GBAAARAAARAAARAAARAAgUNGAAJ2yG+XZwMBEAABEAABEAABEAABEBgVAhCwUb0OfgwIgAAIgAAIgAAIgAAIgMAhI/D/AYY6Vuk5USlpAAAAAElFTkSuQmCC",
+ "text/plain": [
+ "<PIL.Image.Image image mode=RGBA size=864x704>"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "The shield for shield_value = 0.9\n"
+ ]
+ },
+ {
+ "data": {
+ "image/png": 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",
+ "text/plain": [
+ "<PIL.Image.Image image mode=RGBA size=864x704>"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "The shield for shield_value = 0.95\n"
+ ]
+ },
+ {
+ "data": {
+ "image/png": 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",
+ "text/plain": [
+ "<PIL.Image.Image image mode=RGBA size=864x704>"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "The shield for shield_value = 0.99\n"
+ ]
+ },
+ {
+ "data": {
+ "image/png": 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BUiMWq9e7775bWb+IMCdiH6ZRIDnxwvLFsEOOSImIVTfC3+v/t8nk3f97Gs6YjBMlIhSJF8QHf/h/lH7MTyoRgZx44e/cN/dbv3iMsevHIgg2YFQiYjnxEpabwp9vUCJey9IS6S/vLFiWZtFlMQJGYDIZ1BBEfxAjMGgEGLfO8ImGBTY+TA//3qBfwA9nBIzAEBHIh9PEIYc8L9Yu3CBg8ad3odyJQw5xx6Kh1RAhYfox/4sFOnKJC19oo2MsYvwkc3ttyfE/JwL2/9zbnBnrTBTIQpthcmPXHxfe0EbXWMT4SeawvJTSBTc2gD/LzN+5c0dqWqWlb2NpDcPy26ZZ9mllgQ6LERg7AraAjT0F+P1XQ2CBFazL0vOrKbdvI2AEDiMCEDCERuwHH3xQLTufD9XimpURuY8/CeffSm7M48mHF3KN+/nz52cWMTbcXSQiQrKI4VcWL/YK434ux/8f032sZMXhvqw07G8FuWgrY9cvIrYQy/QdoqyLv9IEJJ60siwt/TxLf6ukWaX1+Pw+NwJjRMAWsDF+db9zdwTouUtL8JaEJlTVI1m6aTcjYASMQAMCWAVyiasdxpXmRMQgY3OSVlF8+J3vzDbQxQJGQ1rzvjjn11ZEhNr6nyRScDzND4NwbULGrl9EbB+WGfma3V8D/9KqmHHlzLm0dPNmtTH3vvSXHmTlNDt7eJ8YgfEhYAvY+L6533gdBFhgI/T+zaJKbvdmFz4xAkbACHRDgEYsQw7ZN0nbrHDkWisg5jErzIm06TINZ4Qje3/xk1seTtfM8WIlwg/DcDfdazq+fr2wWEcTOUiRfPFlGqb4aXquz/fHOHb91aqGCRswWigB303iH3WW0o3cXjpypCJZ0T/nSn+rpNk8Dl8bgbEhYAI2ti/u910fgdL49ZLb+pocgxEwAiNBIG/Eslw3y9M/fvy4WogDK1hOxPIw+HmUFu24cOFCtWoiQxDVeF5ExN5IZOqNNJHs+TSOehkRo+HPSomaH7Zv1cRAEvh0Il630pShjxM3ZGPhXMauH0zABowgqUUidmmK2jbwJ+Y8nZB2WHmTtMSiLq+2TH8sGkOaJe2ShvM0O30L/xsBI2AC5jRgBFZFgMU4UmU0E85xsxgBI2AEOiDASnKyHoh4aVVEopPli8ZtJGIKgxv3RMhSq7dagIP5PDSiIxFj1cRcrv7bZNivi7QmIhYb/qyUyLwwfqVVExmOmBMvdLLPFQty5DJ2/WACNkiRiCU8t4k/aUIEXcSLtMMiLsjx99+v0lbr9JfCaMuEnIjhbjECRmAyOXLp0qXHfQJxLW3kZzECBw4B5l9oLljq6Uu1zYF7BT+wETACw0CARimLE7CgRt5AxR2CFRflgGjJH3NxIGgSiBtWh2qludBRdP/+/WolRFZAnM0F++jGBLIkYQiirFFye+XP0xCze1OihVu+EmI1fPB/TyvAJj/Is19LhDERs7f+j71VYasNhhPBOPqVqZ+5/7HrD2BAWmUNk/PVbeL/zIVKDQSMlRC1kqZ0c3wr1XOd01+IiHTKCp6ky9L8seDVp0ZgJwhcvnx5J3qalJiANSFjdyOwDAFtuFxvjLrMu+8bASNgBNoioAbrvXrbC8gZv0jEYlwQLy1RjzuWtIrQFRb4mIXLCJjcS0QsJ17yq2NOxHDHqva3v2kgXgoYCJicRqVfLx2OImLffrjnuBX8awK2p2XvDML+4qNHadeVe5Vj5/Tnzsk9UH02KARMwGwBG1SC9MOsgIAqFqxhFiNgBIzABhDIiZeGHCrqvCGcEy/8xTAQsV898cRsOJniqY4NBEx+RIReOZesWoXl5+UvHiFib91O5CsZ5Z7TcMP/Fn1k5wUCJh+j0K+XzY8Jl62/f4GAyVL6whdfVE8U0xIOXdJf1RGg+jJ/T18bgZ4QMAEzAesp6Vnt2gjI8iVL2NoROgIjYATGikCJeOHG8MISyaJRi2D1ksTGsYYpMhwRuZkWVdg3xGwJAVO8Gzk2kbAFBGwjehXJUPXr+eJxG5iU3j8QMBGvLxLxYjogxGuT6W9mkTURi1/a5z0iYAJmAtZj8rNqI2AEjIAR6BuBixcvVnPAeI7Y8M2fq0TE8BOJVx4mEjGoGHPAZvs+7ZKA8WAlErANspGDoOsh6tez6bhNPPL3rwnYnTt3qjlgPMKrgXjpkXRcN/0RD3PASvveSYePRmBXCJiAmYDtKq1ZjxEwAkbACAwQARba0CIccUGNpkdVQ5j7kK+meWExPEQMa9nf/frXFQmr7u2agKE0JwHbJBwRAJ0PTb+ei+MusIjvXxMwFuB48ODB5JO3355b0CU+WjxfJ/1BwKoFYmKEPjcCPSBgAmYC1kOys0ojYASMgBEYLQJaHbEPAgbokQTsgnTkH3pI+vVsu8RB7x+GILJ1gcUIjAmBvgmY9wEbU2rzuxoBI2AEjIAR6LuxvUuyUfraQ9O/6+fJ9fWdHkrfyG5G4JAj8JVD/n5+PSNgBIzAcBHAEtFn46dv/cP9Mrt5MlmiFmhjeNjx48erzZQXeJvdYhGFhw8f7g0znN1pOJE1pOH21p3Hrh+A+8ZgQTrcevrrs/zbeuK2AiPQjIAJWDM2vmMEjIAR2B4CCxo921MaYu5bf3iU0Z7S+Gz4DnFVOvDRCoZH02qGJYF4KQz38acwJf92MwKLEFBaIl0hSksbTX8mX4s+ge8dcgQ8BPGQf2C/nhEwAssRYAEEVqKL8lpaLplflLhaHe5MRseNBQ4knOPGPcm++LNG9777KeCh1i9gfNxnAaXhe+vWrckHH3wwofGL9Qv5+OOPK/e7d+9W7oIOP7gRBj8IYXAnDtyJ02IE2iCws/Rn8tXmc9jPIUbABOwQf1y/mhEwAu0QgADxY98bCdesGhfJlYiSyNW9e/eqcJGoKa64P5Pcqvgz8oW+ufv1A+B2KPULYB/3EEiN0VLD99y5cxN+58+frywQBIhELCdeWCnwq3AmYnsQ+2wxAjtNfyZfiz+G744CAROwUXxmv6QRMAKLEGja1JYwkVzl/lgynH2b2OxWRC36EVGT21/++MfFx9D9SNrkdpj0x/crAjFSRyym3woWr0iggIRhX2fOnNlHxGTxEvHCj4aIQb5iPLKIseeTxQhEBEgT0eIa0w3+Npn+Lj7/fFTtcyMwWgRMwEb76f3iRsAICAERKSxasoJBfJ599tml5Cr6Jz72ZBJ5EuEg/vfrYWGl4WBj0A9RjfgKex+nm9OyN9Kjd9+tSJOGHWp4IYtqIHlDuES88BuHKUYixibMp06dMuRGYA4B0gRpIydem05/V70H2Bzuvhg3AkcuXbr0uE8IroV9wGjI0JO8SVllx3XrN/5Of+PNf1iwXn755Yp0yXJFmXDlypXKyiULF8QMYgXJEvmCQJF23k0NaM4J/3zd00vP8nOp4UHD+Pbt21UjmmFiM6nLvEOtP5HS0vvNMEgnYy9/IxZfvPDC3IIa3INIYeESOYv+ORfxElnDbdnCCRP2AbOMF4G4D1hAAeJFR5EsrNxaO/0taduNPf/7/Xff/ux7H7BBEbB8gnsoDzqfPn7cnl9a/8VqLkpnsAsBjb/TXyFZFJ36zn88lIjU1atXZ0MPsWhhuWkkV4FcYOXJidpv0rwcGs4IBIwGMuTs9OnTlVtibtNj+j+M+ktENeKrl+/7+/etHxwg7pB7fkoVWCZIMzSKkbwhnBMvrGT4YflwSSMRMwETROM8ZgSsRLw2kf5+njqrKAcoS5uk7/xn/eNr/5mABQsYDRcaOpsQMhOyCgGwfuPv9Dfe/Ed5UbLS0DPZ1Qr2z7UVDIsXDWMay/usYIGAHTb9c1bAQFQZ2ikrI7gjYy5/I/GaojGpGqx/+8tfVukGN1kkIhHDnTSFkL5EtLguNaZ1H7+V1ATsiy+T/z8lcnds6tzm/+HnU1+rhjn6ZHrWr8xrsP6e8K8JWJu00jX9fbtemZMvDglrImJjzv9g4/ffffuzbwJ26OaAUbEzlr4vsX7j7/R3cPMfFijNVWIVQkSLYMThqfrGmuMV/cmNYYf0HiOa94Vlgh8NnmihqDylv0OlPxGuHKfS++ndN3E8qOUvBF/phgYqw1Yh/kdv3pzBgsUUIg+pFZmHfHGOG/dmVtUUCvfSwh3MD8vl7u+Tdfa36fcvidDVxCr3o2vu46/y3yEMunKx/p7xT2lCww0h6aSluKAL36tT+kvDGEnLpGmENE5a35Yc1Py/KTz8/v22P1f9jlk/1KrBN+ufzKlGT9eYqfCp5LuI9Rt/p78p6eiSfwhzkPMfz48lQkQLIobQM4nomnOlEzUscKPBjFT+6rCyTmjhA4iX3CBiuRwa/fWLCTsRsdL7CYMxl7+kIxpPHOMwLfB7I5Gr/3rjxoxc0RDmJ1IfSRdY4k4aw500JiKmMEqLwp3j6ZQUsYA9TKMcIVbHk4HszNfnLWIQL4gSfhAsWcgqYYgXXblYf8/4p7RCOiGNcJSQjkhPpCOlM45KS/iTu8Io/X3y9tsTWmKkZ8pG0jZ5XGWB/Os45vwPBn7/ftufSoe7PA6KgMUGThcQ1CjqEpYw1j9tcHbFz/ivR16c/vpNf6R7KkEkNoRlARPB0nAx+eNIQxniRiP6tTffxKlquEC4aLyIbKnRTC9zbOhUAdLfodBfb14NXgzpJV2rU6z0fnr3Mad/8BFG4EF6It2pM4CS5WYayqUhhPgpNXyxYpDmECyspDst3CEiVt3M/hhGeO6pqfVLJEtEDHJ0P41yjMTr6eR2+sQ0kvufpb3J6vtNYUqELj6C9feMfyij+C4QLyyl6iwiLZG22qa/qiRPCxqRpykHSNsiYvG7x/Mx539w8Pv3X//H9LiL80ERMGXSVV+cRg9hjxw5smrQOf/WPy0k50BpcWH8nf4OQ/5bRKyoHHlHpEQiRNJ+9cTeqG4N6dECHDSM5ZY3non3MOiHuEqE0yLiKr8cx17+gkFOvEh3pC0wfCER/PfScK68IQypx03ES9YKWSKYcxiJGHqapESE7tRreWDxisRLcUDE+EUipjDLiJfi0NH69xMxYbkL/HPilaclhhMuS3+vpjT7Zp1m6UBgZVnSsYiYvnV+HHv+9/v32/7M0+MurgdFwKiwu1hR1hn2FEG2fuPv9Le6Fe8w5T/Kg67Wr5v1EB7ioPG7a+tX3/or619H6xeYjbn8LRGv2GAlj+Hn1YTvz1KjVg1hcIvES9Yu3LV6nSwZXYkY1q9q6GBt8SLukkQihrUMyxmEqotEImb928e/RLwWpaWm9PeHd96ZXK87qpRmZcldRsTGnP/JI37/ftufXcqpdcMMioCtaoKN8wnWBYLw1r+aCdj4780XcvpbH4E+89+61qf30uszPEciS9eurF996+e917F+Eb7P79+3fhpfWAvAIBIvnktCDzkkjN/XfvCD2fCwRdYt7rG5bmxg0zlw9uxZRbvwCBE6uyKJ0tDEhRG3vGn9u8Ff1tJV0xKfcRbm/ff3fdWYZkXESOu45zLm/A8Wfv9+2595etzF9aAImIbxtH1xrBVabr5tmEX+rP+1RfDsu2f8nf4OS/6jUYAssn5xP/rjmsYwFglNYMdtW9Yv4h6i/tnctzWsX7zbmMtf9kUj7cWGqToF+ObcU9qs/Hz22eThd74DbLP5hZxjDSP9xWFipM1IxEpzD+9+muaM/bE8xJB4c9GCHLjni3XkfnWtIYonv5rCfEOu06P194s/HUUMiyadSNqkJfxWYVIZiCxKs+o8wFJekjHnf/Dw+/fb/iylyW27DYqAbftlHb8RMAKHCwGq/as9vtK/unx5cnvk+nt8/UOjmgUKtPphbMTqBSFhORE7jsUhWcyQ2FhWGEhYiYjpfn5kFcQP0iqHLKhRmuuFfxEvLciBmxbeaCJiIl7Ev0isvz/8IeUi5iunpUS+2qbZ2MGwKC34nhEYAwJ7M8bH8LZ+RyNgBA4NAt//yU+qd/npL36x9jthXUBo5NKYQBgKhsSeyeiPxi+9v/zUaME/Pck0Zhj2xU9uHGkQ4zeXGO9B0/9+en9WO4x40cuNZYxeb6T0fjkGY7/mu5PW2NOLdIiA27vvvjuHH/fxh/8P0ygQ5njdunWrSluEYSgsww41JJY0x338ldIeYbBInfvmdK6RiNCt+9OFNbgf9/6CfDEnDP8KgxtELO4jBvEiDkgdcSpMbv0ifuvfw7IP/PkGpI1V0xLpb9U0iy6LETACk4kJmFOBETACBw+Buud/9uD59exGuxOsD5EkEIreWsbll4jED1MDWY1ZzfOioStR45cGDQIhkxtDxHI56PqxRIo08G7CUuS19H45BmO+Zjh3TrxY6EDzwThyLVzBGv/8vl2nO9KXNtClU4B0ybXSnYhYaQNwsNfCFyJVIgI37k3J1RzxSkvW4z8PIyJGmJx4scw9/pskj8v6pxjuAn/SRE7il6WlY4nUd0mzXRa6akozdjcCBxkBE7CD/PX87EZgjAg0kC1IwDoSG7dNViiIxG/qxTZEpHZpBRuy/r+3Faxz8lOjlDQo4sW3jsJ1TsS4T5hvJXIG4dIwMoXjOidiDx480O3iMSdCeJL1qolEdQlTVI6uRNLQIyJo/dvHX2kikvhFaenn9YgBvs2qaVZpnbAWIzBmBEzAxvz1/e5G4KAh0EC+9BrrDEekgRtJGHHus4Il/drDKw4n3JkVbOD6//LHP9anmGFpK9gMksaTN9Pm3Y8fP64IlogXwzdJf+xvyVHDOUXE8D8XJg35ZMgry83fuHGjOmoIrIjYhQsXVloBESJ0Ia2Z0ES88hcSeVolTB6HrrvE1SWM9OXHLnF1CZPr1XWXuLqEQR+rYpI2IolvTEs3b1bpdF/6S/G0SbOkdYsRMAIegug0YASMwEFBYAn5mr1GW3+zAHsnkYDlVjCW/kZozGpY1y6tYAdGf7LEIBAvzwWroFjpT41Y9k1i+CvCketIxGKkCnMikS+RLjWgIWRyi2HiebW4xqdpHtCX0XXxOXO8+LUV4ma1Q3TlYv1TbPrCP36PUrqR20upM0AdATGM0t8qaTaG97kRGCMCtoCN8av7nY3AQUNgRVLVdTgi1gXtx6LGL41e4ouN2FOnTlUIxnlfsoxFfwxPRDTEB/Imt+iv8pT+Do3++nuBHaJhR6X3qzz4b2Y9UCMW8sry9FgaWIhD8xEjEcsbvvh5lPxizWB+DulNjedFRIzNjln98NbHy4lAXFyDeV5xsY7SZxTxIm50oCsX6+8Xf75Hnk5IO6Qh0hKLurya0lbeEVBKf6RV0ixpVx0wMc3m397XRmCsCHxlrC/u9zYCRuCAILAi+dJbdSFhNChoZNBweOWVV6qo7tcWHREnHEWoZAnDTdYwETEW6dCCB3KjkcOPxs3JkycJNieHSv8LL0zeShP1EVkWS+83B8BIL7AWahET0h54aegmkMjyBX64qyEsuCBeWrCjcktp+HRyI92RLukoUAObNKshswrPEvJHn5ySAEjSbCn61H9wtG4lQLxwZ3EMhHlhCAtvQMRmYU5M3SFeIlZTl3p5+2mfhJyqo/X3iz+LBakzibKJNKIyiw/ElgfX07F1+kt+Saf8SJekbaVZ0jZuFiMwdgSOXLp06XGfIFy7dq1P9dZtBIzAkBHoSL7mXqkexjXn1nBRWbuSf3pvqwZw0s/qYJApeoEhYZzjhrBSWLQycB9/iBo1scErKwQ9y7MGTni+w6ifCftqcO17vwop/5HWsBLmxAtkcIdgYT2UqCHM9RzxStcMnaWxW3UghPwjIgbxnxGwj24oyupYIk1snAzJisQr7vlVDR9MBAw/CEQOcsbGzpJqX7FA5uSeH61/P2ndKv7PXKg+AWUVnUU58eLmW1eudE9/4QOLiJEuVR6E2z41AjtH4HLax7NPMQHrE33rNgJGoBmB0Hhs9tTyTiA5TSFo1DJUBgtENf8r6afRyqp0bYlVG5IGYYO4zaR+tkOtP03c3/d+MwB8UkJADVb2WEMgZ/wiEYvhSLNYGvZZ0hYtepARMMVXIkKQqki85FfHnIjh3pZ4KQ4drX8/EdsK/jUBE+7xSNn34qNH1R5/uHdOf6lzwWIEhohA3wTMc8CGmCr8TEZg7AhsknyBZYv4KotX8kpDQ/41LEcWA6xfcpMFS8MKIWn8EBovCD3KEC5Ee4LhVpJDrT/hP/d+JQDsViEA8YJkXUmWB8gX1i8EYoXlFBy1QAzunOPGPZEvwhCWOJ776KNZesR/G2HYIZsjn09JFRJVbbr8VLJsHWsOrRX48EsYwhKHhjA2h9x/x/r7w5+yCws/WxtsJP2ltGyL1/40bhcjYALmNGAEjMCwEGhBljo98IJ4sc5o7tdrtcWAhgiEqy2xakPSIGMibvEdxqD/Z8nSh3VRRCy+v8+nQwlz4sWCBqSN0ibM4JgTLzoP8EsYLdxBI5rGNI1qdQy0xVtEaBHxyuPCb1filcdl/VMsd4G/iBfp54VU7kHiN5X+qo4AE7E8eft65AiYgI08Afj1jcCgEFhAkjbynA3xy3Lwqyf2ikRZukSs0C83kai21i81fJusX2PRH/HdyPc8JJFcvHhxzuKlhi9z5hCIGVaEnIgp3Yh4yXpGGMJGIkajmvB37tzhtsUIzBAgTZA26HB6NRCvTaY/WWRJ6xYjYAQmk3p9I0NhBIyAEegZgQZytPGnQk82J4yJ4WziLGKFTq1SqGGFcmMJeg0r5Ii/GI77NGRyN8JHN64lo9JfwF84jPVYLZiRXh4ipUZvCQsRMfxF8oV7k4iIQcaupmGMf/frXzd5tftIEdC2Gp+8/fbkek36S1Csm/5Is0rrpfjtZgTGhIAX4RjT1/a7GoGhIrAr8hXfP5KwPvTrWXiOMeqP+AsLH3eDgNJbwyIcu3kIa+kdgbgIh/Nj75/DD7BbBLwIx27xtjYjYASGhoAag7t+LunVcdf6pW+s+vt+b+E/xqMb22P86s3v7PTQjI3vGIEtIeAhiFsC1tEaASPQAoG+G+HPHWnxkPayNQT4/ksaf6V9sBY9D6sCzvbBWuRxCPf6Tv/RAjIEPPwMu0dgSf7b/QNZoxEYBwImYOP4zn5LIzBMBPqs/Ptu/A7zi+z+qRpIGAtKMGeEyfsI8574Nc13atwHy/sQ7f6bWuPBQaAh/x2cF/CTGoGDicDekl8H8/n91EbACBiB1REw+Vods22GCN9DK/ltbB8sL3+9+MulTpDf/e53+1ZHZN867V2nCFgtD78SFpvBjdVAJZzjxj1JKX7dwwJaum/9W8Y/dn6F/Df7Lj4xAkZgqwiYgG0VXkduBIzA4BBwY2Nwn4QHun/mzL4NiLUce778ujYkbrsPlvchWvzJ/+Nf/EVFgrRdAr4hRWy7EMmViJLIFUfcIlF78ODBvrhKbvGJrH/H+EfypQ/hclFI+GgEdoKACdhOYLYSI2AEBoGAGxmD+Az5Q2gfor9Pww3jBrBakl3LX+dELC7Fzj1Zz4hfy6/HDYkhYt6HKEd/Orwzzcab7XOHD+1ZF8mV3ETUtEm59sMjnLZagLyJqEU3/OTC0FLr3xH+JfKlD+LyUUj4aAS2joAJ2NYhtgIjYAQGgYAbF4P4DKWHYB8i9lM7d+7c5Prjx7O9sJjXhZWLPayQnIjRcM+JF34JQ1gkEjH2IPI+RBUsc39gBPFls2aRK0gT+9wtI1faqFxEjTBNRA1CpvjjA1j/bvDn+9JJsVBcTi6ExzeNwKYQGNQ+YBQMrF61SXnzzTdbR2f9xt/p75Dmv6ZGhfdBal0+bsVjwyp8NNT/+nvfm202jG4IAmU0jfWSiHjFPLxs4Y4YTy/lf0iXEJM43C8+W9fzs2fPLg9a17ng9/LLL0+effbZyYfPPFOF45kguFi6IMcIRAvrFiRL5Ov27dvVs+MHv3y/W7duVf7Pnz8/I3L4g6DhNhPrr6DYNv7X04I2s+9bd07E/Qfz9PeT739/9om6nrj95fZn27TTR/nb9z5gg1oFkYqTJYf7Eus3/k5/hzD/hUZuX2WL9bZDQBYSGvg/TA34N1IwLFY0TimfaUDmRCwnXhAISBp5mSGK/NoQsb7Lf8gX86n6ElmhwOH1ZFl8LXVeYgXTPDCeD3IlN9xlJYOIQa4gZ5AwWcHwQ8Oe+3G4Im6EjWL9UyvYVvBPeNNtQd6p4k8dGViJo+Tp70rKPwwL3ZX0nf+sf9ztv12l86hnUBYwKlItORwfssu5xvk/TsNZ2or1G3+nv+mS323zTJO/weS/CxeaHnHqXlvAvvhyMvniT5PJ8WOLvce7Dz+fXq0a5uiTk8nRrOtrtPprC1gkXsIYC0vVwL95s3KihzQuS09jEqHhhEC8IFpqWObL0uNnERHrpfwPnQM0gMFhE8KcOuTCsvSPpxo/TsFgzkqSnm/rVjDrB/pKtoE/uQQrJsN3S/HXqisLZin9/eKnP5WX1sfBlP9u/7X+Zr2Uf+Hp+tDftwXs0M0BoxLuc4y/9Rt/p79XQrG629OY/6bN8nb67/5+Mrn92/T7l8lExKopJPfxV/nvEAZduYxefz2sDVwgXgxRw2qCJUXDpDSv6+rVqxXZgnjx45vjpvliwjafL4Y7BI6FOLYlMf1tS8eieMGLuXRdRVYoOqKq0QAJX1mqIIgS5uwhWLgk8gdhQ+KzyE1WMBr6JWuf9U+tYJvC/2qyHiOke2QfvpXr4r/v/+Qniz2Eu32nf+t3+6vP9lfICq1Os37YVmG25olCYt0hYIBPIdNFrN/4O/291SXrzMIMJf+tQr54+NPHpxawh8kAAbE6ntr9Z74+bxGDeEGU8INgyUJWCUO86Mpl9PrrBR8qixekqxYa/TTejycydjqRNAQixg+LmK6rk/pPcwmwdlEXiIhxTRnfVEH3Xf7zniVSEt9t2Tnkq9W8r4aIILGyKMrCyNyhJ9LQT8iThGXlES22wXkkWVwjIm0ibBAvucX4pr4nFYm2/mnptTb+iTxfT1YvRGm+9H2F/aL09/zFi62GIw6l/Nc7rXLsO/9bf7/tz1XSyqb8DoqAqcDp+nLrNp6t/7tdoa/CGf/1yIvT34bSXxjW1TZBM4zw3FNT65dIlogY5Oh+6vyPxOvp5Hb6xDT2+58lS0B9vylMidDFZxu9/tS4jw1yGunMJ1JjHWLy8bFjk//5N38zG2KooYbCMR+iSHlEnsI9EjH5z49957/4/vmztblel7yhg0YgAlmFuCLgDCX4LJFgBBIly5esXnwnfli95EaDHr+8l95NJA3iVlk3qxj3/qx/Q/gn8kW6x5JGulandAlfoa9vpOv8+I/JYdHCHK7/Xf/naWaV677L31WedVN+B0XAVEmu+nKYnQl75MiRVYPO+bf+aW/xHCgtLoy/099Q8t9Pf/GLSTIBtEi1ZS8lInSnXhcBi1ckXooBIsYvEjGFWUa8FIeOY9efEy8ahTToabhz71+n4YPPJZIAQRABy4kXFbksZFhTSgt3CO947Lv8P3HixORYIpmrCkQGnG7cuLFq0Dn/mjOHI/gizMsAQzA9ns4ZDloiUVqCPlrERNK0UmKJuFVK6j/r/3COAHfGP30vRGSL/IGU8K1u1H9t0t/f/frXk3xOmOt/1/9Dqf9jej4I54MiYBQYXXpR1jF7x49k/cbf6W/1Xryh5L9psyPm6O7nkQhh/aqGDiaStUgiEcNahuWMeLrI2PSXiJdWzgM/htbJT7VZcyJiamBq4RxIgqxdhCFdQiAqC04LItZ3+Q+x6WLFWnfYIVghwjO3fnFv1ohPVsWPn38ep5mli+/Cb1vWL3RZf02iluFfD9MFr1WsX2DcNv3lwxGHUv7zDutI3/nf+vttf66TdrqGHRQBW9UEGcczdwUghrP+1YaAGf+9+RIxHXU9d/pbI/2lxvc2BCJ0dkUSpaGJm3ieseiXhQtLTiReEUPuscQ5jf33U0PzO2l4FZITrxiGnllIWCRiNHRwz6Xv/Mf7rSJxPtUq4Up+S9aRaP0SXmDHILnfhCGEu7B+Wf80vS7Cn+G55+uPiz9kRlzT3D65ybpZe50dVkl/DEf893/2Z7P5grNI1jjpO/9Z/2p16GFr/62RdDsHHRQB05CStm+DtULLnbYNs8if9c/vC7IIK+4Zf6e/IeS/dYcdkpbvfjqZ/O6P5SGG3M9FC3Lgni/WkfvVtYYonvxqCvMNuU6PY9cP6WKoYWwEQjAgZgxlY2gb9zXcDiL2WSJi/+vatTkyJSJBY5OGpqw5kYgxZKokfZf/mjtVeraSG9YyLTdfur+KW2ycx7lfxKFGPOfy98SvfoWJsSLDu7J+WX8z/v8upekP6329uli/wHbV9Pff00Is07UwCb2+9J3/rH/c7b/1U/DqMRy6ZehXh8AhjIAROKgIvLfBB2cfsA9+P5ncuj+dz1WKOi5BzzBDrYC4aPl6iBdxEjc6mmTM+kWswAbihVXlVtqIWfOIOHKNO/cRyNpL9VwliBcNqOfT8DiRBI5c4859BCImglE5+K87AvVco+4RrBnS+isAV7NbrIl5FnyT5W8WtS+NwKFHwATs0H9iv6AROJwIrLI/zTIEsEid++Z0rleJCOXEizlh+FeYEhHLiZfC5NYvnm3s+sGgRLywfGHt0uIOORH7MI2CyIkXVq933313tpBEiYihz7KHgIalgZXIqixf0TIQ/RH6+PvvV0RY1krcZKnU3DC5ceT7iUBzLYnxWv+0s6At/gydY75X9I+Vl8VTGEaKlPAV9usc+yR/6zy3wxqBISBgAjaEr+BnMAJGYDUEtjDnSwtfiFSJiN1IU41YXh6SJRLFkvX4z8OIiBFGFq88TNOL5nGNST/D6aLFC8KlzZixdDFEketIxI4li1i0eNHI/OCDD6qGKJYuGqRcx8Yn/rsstNP0zQ6LO1bBiBPvBYY07pc15P/wzjsVDLJWcqHvpPlhWDjlxrDSXKy/O/4iXrL8gq2+pchzCd/8G6x6na+GuGp4+zcCY0fABGzsKcDvbwQOGgJbIF8RgpwIcW8ZieoSJuqM513i6hIm6oznXeLqEibqjBv7injRaI/CtYjYz+uhh9yPxCsfXsh1TsRMwCKqe+dqtC+ygpUa8hC1V1Oe3IUVzPqbidpOrWB9D//cS7Y+MwIHFgETsAP76fzgRmCECGyZfEVERSoupDUbZPGK90vnXcKU4sGtS1xdwgxB/9m0d9uFCxcqgiXixRC227dvV/tbceQaOXrzZkWqHj9+POEHwRLxYsgVhIA9ITlqCJaIGP7ffPPNplcetXsTuWljBeMbMBytLyuY9U+Xqd+JFczka9TlhF9+cwiYgG0OS8dkBIzANhHYIvmqVjX8NM1D+rL9CzDHi19bIW5WO0RXLmPXH/EQ8YqkS24vJWIlUhXDiHix6TJD5hCOXEciFsP4fD8C61jBIGov1CtXEvO25oItIopj1791K5jJ1/5MYxcj0BEBE7COwDmYETACO0Rgi+SLt2Cz5Y/T79bHU5K0iIjFxTWWrZpI3CJexI0OdOUydv3gIZIl4oUljDlbWMZYiINhbjmpyokXJIAFOLB0Xb16daLFCEzE8hRXvobcgCEiIguBjdecs/kuEi0umm/0n9L3kmhbAQ0x5ZvKTRZN+eVo/evjr+8Gnvp2GnZbwhd/rcTkqxVM9mQE2iJgAtYWKfszAkagHwS2TL54Kfbyevr49PWaiFgkXiyQwbwwflosI1++PidexI4OdOUydv0s1pATL+aCaW8iVtuDbEGuNCQOUiWLl4iXCBn4QghYUS8nYiIK+Tfw9aTCmAY8xFUki+F9iIgZ52rQy2KGm/xVbikO5oSxuAqi7wjp4gcRO3nyZHUv/vH9rH8D+CdQSfv5dyrhG/FvPDf5aoTGN4xAVwSOXLp06XHXwJsIdy1tpGkxAkbACBQR2Db5+ujGnFpIk6xRusHGyaxuCNFCIF1x8+Vq+GDa4ws/yNEnp37Y2FkC8Tqdfke/IpfycXT6n5laSyBgNNZZKU+NdSH01pUrVeOf3nsJDUkRKRr+6unnPg1PGvEiEAqDPyw2uIss6F5vx22n7zYvFhrX4Ah2kFbhC+4MbYP8ch98sUwirDLJfb4HZBiSxjlC+B8mvPmmLJ6CiGQTfvadrb/Chr9N4096hxArve+Lv036C99n9qA+MQKHAIHLly/3+hZLmgO9PpuVGwEjMGYE2jQONowPBIk9uSBLImIiUjnxkmotfBGJmMK0JV6Ka6z6aaCrkS4sWK78xUePJvcuXqycaEjyo8FPQ1INffmHGNDg1LA4rDj4F5HgqHOF8XEPAfCU9Uk40XCHfEGswBwRvvoWuEX/XM++RTr//PRpnCrLl6xfM/JV3Zn+Wf/m8QdZvhNSwre6sejP5GsROr5nBNZCwEMQ14LPgY2AEdgKAj2Qr/geIkLnn54OG6w2XX4qWbaORV/z5yJi+IV4ERYyt8zqNR/L9GrM+iFe7An2rWRdUeMfVGj4YzmhsU8DX8I5btwTOYAwEPZKsp5B2GQBUBgf9yMgEqUGOz6Ep/ATseKe/Klh30TSWLUS0Z5g2g+scgx/1v9ahYZw5WIT+JP+kRK+1Y2mP5OvJmTsbgQ2goAJ2EZgdCRGwAhsDIGeyVd8DxGhRcQr+uccv12JVx7XmPSLeDGsjdXsaNAz7I0GfmlDZRqU/CLxovGKX8JovpiJWJ6q9l+LRGE1VEN9XesXWkQmrifyvGvrl/UH/AvWzf2pILiYfAUwfGoEtoOACdh2cHWsRsAIdEFgQOSry+M7TDcE7ty5UxEnFm54NRAvDXuTFSsnYrIQiHhBGtTjr2GKORG7WA9p7PakhzNUxFFvKDdZv3CX24xY1Q37JuuXvgXhWFuxyfqVxxt1Wf90EZSISRf8Ca9wnDeKyVcjNL5hBDaJgOeAbRJNx2UEjEB3BEy+umN3wEOeOnWqeoNP3n57cr2ea1R6JRExGpKx0a6GfimMiBhWHsLki3OUwozNTZjI+sX7y00kWG64C2+tlhgb9tzH6pi7Ef40m2AX8rl0Wf90GKKw5rhJ/CO+xL1PTL72QWIHI7AtBLwK4raQdbxGwAi0R6DQKGsfeA2f2SqIa8TkoF0QqFdBrIKOsfHXV7qP36oP3ON7W3/8Grs97/s77PZtrc0IzCHQ9yqIHoI49zl8YQSMwM4RiI2AnSu3wkEg0EcjfBAvPtKH6Pt7j11/nuz6xiN/Hl8bgREg4CGII/jIfkUjMFgETL4G+2l2+mAL0gH7gx0/frzavLfNMzGPjAUfShv9FsO78VmEZeuO4L7gu1v/1hGYKnD63xHQVmME5hEwAZvHw1dGwAgYASMwAARYFfHjjz+eQKgQbdJ89GjaCbsg+FMYbuNPYQrep059Nz771t8IzI5u9P3+1r+jD201RsAI5AiYgOWI+NoIGAEjYAR6Q0AkSsQL6xcWLcgYP5EqEbGcePHgCsOqiTHM3Ev13fieexhfGAEjYASMwJgQMAEb09f2uxoBI2AEBopAiXidOXOmIlORZEUixqtwLYnkDNLG5r8c9xExky9B5qMRMAJGwAj0gIAJWA+gW6URMAJGwAjsIcA+YMz1QrBeiXjJB9Yu3E6fPj0bZthEvBSGeM6dO1cRsEjE/tOFC5O0GLrFCBgBI2AEjEBvCJiA9Qa9FRsBI2AEjAAIaB8wCBbESSLLF/dxz4kY/gij4YhcY/F68ODBzD0Ssf/w538+298KvxYjYASMgBEwAn0gMCgCxo737214aMibbPzYUqzf+Dv9pZXJNiir5D+GoNF43qScPXt2k9E5ri0hwIqFcdVCES9ZuThCpGQZExGLjxOHHOJOmDgk8fj77y+0fLn8d/nv8r+/8t/5z/mvz/wX65JdnQ+KgAH+W2+9tat336fH+o2/019/+Y8GtIah7cucdhgFAjnx4qUhZqQNfrdv354jYtzPiRfkDLJGWoKE8fv5j340+dGHH06ee+45ghTF5b/Lf5f//ZX/zn/Of33mv2KlsGXHI5cuXXq8ZR0Lo7927drs/vXr1yf37t2bXa9zcvHixSr448ftX8/6jb/T347zX9gHiIY0DfBNCHOKkAtpvs9C+ehGdfuLLyeTL/6U5h8dW+h77ubDz6eXq4Y5+mRaIj3r+hqt/mem36dEvKL1CqRLi3TgTrpBIF4Kw7Xi/HYiYJIfQcTSr0TEXP67/Hf5v+PyXxkzHZ3/nP92nf8uX74cUuDuT7NmwO4fYNMan3322clLL7206Whbx2f9xt/pr7/8J+tH6wxbe7z7+8nkd39MBCxtMXXm64uJGMQL/w9rrrhqmJNfnUzOnpp/wtHrT6sVyvopEsW3jMJcr7gIRxPxUhjCn0nDWj9Ilq833nhj9qOSX2VorOJrc3T57/Lf5X9/5b/zn/Nfn/mvTR0R/QyKgFFJrmuCfOWVVzoTMOs3/k5/6w1BWSf/YeFQIzwWUqucM1yty7yv02ndByxgkKrbvy0TsZx4YclCVgkDWUNXLqPXXy+kUVpQg3TBkELuIZGI6bq6Uf9pLuEnb789oSmItYv5JVi+KONJoyVx+e/y3+V/f+W/85/zX5/5r1QnbNttUATsu2E4UpcXX/fjWf93u8A+C2P816u8xp7+aGSvI+uQN4YRnnsqkanP96xbImKQo/sP9yxeEK+nk9vpE9Onvf9ZWvChvt8UZpmVbPT607eP3z+f16X5XLKOgbwImdJMHKJYlWQvvzwhT0G+6BUVEZP//Dj2/Of3d/2X54lVrl3/u/5fJb3kfvsuf/Ln2cX1oAiYKslVX1xm5yNHjqwadM6/9U8bKXOgtLgw/lOzv9PfevnvxIkTk2PHVpiEVadNDTu8ceNGi9S62EuJCN2Zbk81yYmXYoKI8YtETGGWES/FoePY9efES5YvWbX2baicgIvECxxfTaTrzddeq4gXE/tfzoiYsM6PLv9d/pfmBubpJL92/ef6j7LD9f969X/f5W+er3dxPSgC1tUEvc6wpwiy9XczgRv/7sNenf72EKAh3cWK1XXY4Z7m/WeRCGH9qoYO1hav/b6nLpGIMSwRyxnxdJGx6S8RLy05D35aCTFuqMzqhogWboGs/eGddybX6znAlEtM7H8tkbE2RMzlv8v/LlYc13+u/yAP64rLn37Ln3W/X5fwgyJgq5ogP0yTq6lYNyXWv9oQDOPv9LfJ/BeHoLXJ0zS8tRBDG/9d/ECEzq5IojQ0sYu+PMxY9MvCRRqIxCviwb1z587tW3Z+Fibt85ULDSNIWCRiNHRKDSaX/y7/8/Sz6Nr1n+u/TdZ/Ln/6LX8W5fVt3RsUAaOnchWht0rLza8Srsmv9Rv/prRRcnf622z+y+f0lDCPbljLtNx8dO9yfvfT6SqIcW7Xong0Vww/y1ZNVDwaosgqiGe+Idfpcez6IV18/0jCtYz8vg2VAxEDvSpM3RFHoxiCxS8uOR+JGEPGSuLy3+V/KV00ubn832z57/zn/NeU10rum85/JR3bdhsUAdv2yzp+I2AEjEATAqyC+EFaXp4FNZqImIiXlqAnLi280UTERLyIf5GMWT/z+LTsfCRewksbKmsRDs37q+4n8hWJl8I0ETHd99EIGAEjYASMQF8ImID1hbz1GgEjMBgEsEidSpYp7e+VE7GceGlxDV5AYXIilhMvhSnNCxu7fnAsES8I16lTpyYPHjyYiIRFi9j/+Q//MHkjjZyAbEmwfDEvhx5SkbDcIia/PhoBI2AEjIAR6AMBE7A+ULdOI2AEBodAXPhCpAoixk9SIlGl5evln2MpTLyv8zHrz4eTRktXhWEadsgQRa14CAn7NotwPP+84Jsbcogjww6191ckYmzCDEGzGAEjYASMgBHoC4En+lJsvUbACBiBISIgInTum1PyxDNCoriGbJUsWF3CNL17l7i6hBmSfixcCMTr/Pnz1UIcGpKo5+SauWLc/3myckkgWSxPz35f+TLi2vuL+/hDsIxZjIARMAJGwAj0iYAtYH2ib91GwAgMFgGRmlUesEuYpvi7xNUlzBD0nz17dt9jxKXpZysdJkvY0Zs3J68n3xCuXOJqh6wqlm/CXAqTx+FrI2AEjIARMALbRsAWsG0j7PiNgBEYPALVHK9P0zykL9s/KnO8+LUV4ma1Q3TlMnb9EQ+I1+3bt6ufthmQ20tHjlRLykf/nEO8GHLIpstaGpoj11oBMQ/jayNgBIyAETACfSFgC1hfyFuvETACg0GAzZZ/98ewAmLaRPloQ+mYL66xaNVEXhDiRfz4q67Taoj53mJj1w8u0eLFNUMONReMe//mxIl9Gyrjj+WrRbqi1QtrF3O/RMTiPcJZjIARMAJGwAj0hUBDE6Ovx7FeI2AEjMDuEWAJ+aNPTkkSRGlGqgIRy4kX88IQlqRnoY5ZmBNT95x44Votb5/izGXs+u/evVutcggukXgJp+Npk+Xr6SIOMcS6JSmRK4gZv5yIMRfMQxGFnI9GwAgYASPQBwJHLl269LgPxdJ57do1nfpoBIzA2BBI83R6lY9uzKkvkSY2ToZkaR+vfFXDfIl6iBx+sKhJRLyarGryNzr9z1yoXh0CxkqIsngJD45vXbkygWDFBTZExLgPmWKYoYQ9wbB65SsdiojhbgImtHw0AkbACIwTgcuXL/f64iZgvcJv5UZg5AgMjIDpa5SIUE685FfHnIjh3pZ4KQ4dR6O/JmB673hkyfkXHz2a3Lt3r3LGcsUvErHoP9+M+dlnn638YwWzGAEjYASMgBGICJiA2QIW04PPjcC4EBgoAdNHEBFik2ZWGGwjELEHyfp1OgxfbBOu5OfQ6y8QMO319cIXyeyYBOuX5nhxnROxnHjlYUzEQMRiBIyAETACEYG+CZhXQYxfw+dGwAgYgYAAQwbPfKM9+SIoRI0wy4Yb4neZjEk/xOvWrVvVnl6QL4jXu+++W837ivt4sbDG82kDZs3x4hw3BHKGX4YoEpY4sKBdScMYtSfYMsx93wgYASNgBIzAthEwAds2wo7fCBgBI2AEFiJw586dijh9kYjXq4F4aW6XyFNOxHLixdwuDVHU8vM5Ebt48eLCZ/FNI2AEjIARMALbRsCrIG4bYcdvBIyAETACCxE4depUdf+Tt9+eXA8LauSBRMSwdEXyJdKV++daRAyrGGHyxTlKYexmBIyAETACRmCbCJiAbRNdx20EjIARMAJLETh58uTk5D/+4+TsUp9TDyJiLb1X3iBisqitEs5+jYARMAJGwAhsGgEPQdw0oo7PCBgBI2AEVkMgLRtvMQJGwAgYASMwFgRsARvLl/Z7GgEjYASGikCa99Uk7A92/PjxaoPmJj/RnXlkDx8+nGBVayUmf61gsicjYASMgBHYHAImYJvD0jEZASNgBIzAhhDQcvQQKkSbNB89mna5Lgj+FIbb+FOYgvepk8lXIzS+YQSMgBEwAttDwARse9g6ZiNgBIyAEVgRAZEoES+sX1i0Pv744+onUiUilhMv1CkMqyYSTmHmHsXkaw4OXxgBI2AEjMDuEDAB2x3W1mQEjIARMAINCJSI15kzZyoyFUlWJGJExbVERAtyBmm7e/duddxHxEy+BJmPRsAIGAEj0AMCJmA9gG6VRsAIGAEjsIcA+4Ax1wvBeiXiJR8QKtxOnz49G2bYRLwUhnjOnTu3j4j9pwsXJm/Kk49GwAgYASNgBHpAwASsB9Ct0ggYASNgBPYQ0D5gECyIk0SWL+7jnhMx/BFGwxG5xvL14MGDmXskYv/hz//c+4ABksUIGAEjYAR6RWBQBOz111+fvLfhoSFvvtm+r9P6jb/T32aXA18l/zEEjcbzJuXs2bY7S21Sq+NaFYFqH7CwaqGIl6xcHCFSsoyJiEU9ccgh7oSJQxKPv//+QsuXy3+X/y7/+yv/nf+c//rMf7Eu2dX5oAgY4L/11lu7evd9eqzf+Dv99Zf/aEBrGNq+zGmHUSCQEy9eGnJG2uB3+/btOSLG/Zx4Qc4ga6QlSBi/n//oR5MfffjhhA2cm8Tlv8t/l//9lf/Of85/fea/pnphm+5HLl269HibCpbFfe3atZmX69evT+7duze7Xufk4sWLVfDHj9u/nvUbf6e/Hee/sP8TDWka4JsQ5hQhF9J8n4Xy0Y3q9hdfTiZf/CnNPzq20PfczYefTy9XDXP0ybREetb1NVr9z0y/T4l4ResVSJcW6cCddINAvBSGa8X57UTAJD+CiKVfiYi5/Hf57/J/x+W/MmY6Ov85/+06/12+fDmkwN2fZs2A3T/ApjU+++yzk5deemnT0baOz/qNv9Nff/lP1o/WGbb2ePf3k8nv/pgIWNpi6szXFxMxiBf+H9ZccdUwJ786mZw9Nf+Eo9efViuU9VMkim8ZhblecRGOJuKlMIQ/k4a1fpAsX2+88cbsRyW/ytBYxdfm6PLf5b/L//7Kf+c/578+81+bOiL6GRQBo5Jc1wT5yiuvdCZg1m/8nf7WG4KyTv7DwqFGeCykVjlnuFqXeV+n07oPWMAgVbd/WyZiOfHCkoWsEgayhq5cRq+/XkijtKAG6YIhhdxDIhHTdXWj/tNcwk/efntCUxBrF/NLsHxRxpNGS+Ly3+W/y//+yn/nP+e/PvNfqU7YttugCNh3w3CkLi++7sez/u92gX0WxvivV3mNPf3RyF5H1iFvDCM891QiU5/vWbdExCBH9x/uWbwgXk8nt9Mnpk97/7O04EN9vynMMivZ6PWnbx+/fz6vS/O5ZB0DeREypZk4RLEqyV5+eUKegnzRKyoiJv/5cez5z+/v+i/PE6tcu/53/b9Kesn99l3+5M+zi+tBETBVkqu+uMzOR44cWTXonH/rnzZS5kBpcWH8p2Z/p7/18t+JEycmx46tMAmrTpsadnjjxo0WqXWxlxIRujPdnmqSEy/FBBHjF4mYwiwjXopDx7Hrz4mXLF+yau3bUDkBF4kXOL6aSNebr71WES8m9r+cETFhnR9d/rv8L80NzNNJfu36z/UfZYfr//Xq/77L3zxf7+J6UASsqwl6nWFPEWTr72YCN/7dh706/e0hQEO6ixWr67DDPc37zyIRwvpVDR2sLV77fU9dIhFjWCKWM+LpImPTXyJeWnIe/LQS4t00Vwy/ImLc08ItkLU/vPPO5Ho9B5hyiYn9ryUy1oaIufx3+d/FiuP6z/Uf5GFdcfnTb/mz7vfrEn5QBGxVE+SHaXI1FeumxPpXG4Jh/J3+Npn/4hC0NnmahjeN8W0KROjsiiRKQxM38Vxj0S8LF2kgEq+IIffOnTu3b9n5WZi0z1cuNIwgYZGI0dApNZhc/rv8z9PPomvXf67/Nln/ufzpt/xZlNe3dW9QBIyeylWE3iotN79KuCa/1m/8m9JGyd3pb7P5L5/TU8I8umEt03Lz0b3L+d1Pp6sgxrldi+LRXDH8LFs1UfFoiCKrIJ75hlynx7Hrh3Tx/SMJ1zLy+zZUDkQM9KowdUccjWIIFr+45HwkYgwZK4nLf5f/pXTR5Obyf7Plv/Of819TXiu5bzr/lXRs221QBGzbL+v4jYARMAJNCLAK4gdpeXkW1GgiYiJeWoKeuLTwRhMRE/Ei/kUyZv3M49Oy85F4CS9tqKxFODTvr7qfyFckXgrTRMR030cjYASMgBEwAn0hYALWF/LWawSMwGAQwCJ1KlmmtL9XTsRy4qXFNXgBhcmJWE68FKY0L2zs+sGxRLwgXKdOnZo8ePBgIhIWLWL/5z/8w+SNNHICsiXB8sW8HHpIRcJyi5j8+mgEjIARMAJGoA8ETMD6QN06jYARGBwCceELkSqIGD9JiUSVlq+Xf46lMPG+zsesPx9OGi1dFYZp2CFDFLXiISTs2+k3ef55wTc35BBHhh1q769IxNiEGYJmMQJGwAgYASPQFwJP9KXYeo2AETACQ0RAROjcN6fkiWeERHEN2SpZsLqEaXr3LnF1CTMk/Vi4EIjX+fPnq4U4NCRRz8k1c8W4//Nk5ZJAslgVkf2+8mXEtfcX9/GHYBmzGAEjYASMgBHoEwFbwPpE37qNgBEYLAIiNas8YJcwTfF3iatLmCHoP3v27L7HiEvTz1Y6TJawozdvTl5PviFcucTVDllVLN+EuRQmj8PXRsAIGAEjYAS2jYAtYNtG2PEbASMweASqOV6fpnlIX7Z/VOZ48WsrxM1qh+jKZez6Ix4Qr9u3b1c/bTMgt5eOHKmWlI/+OYd4MeSQTZe1NDRHrrUCYh7G10bACBgBI2AE+kLAFrC+kLdeI2AEBoMAmy3/7o9hBcS0ifLRhtIxX1xj0aqJvCDEi/jxV12n1RDzvcXGrh9cosWLa4Ycai4Y9/7NiRP7NlTGH8tXi3RFqxfWLuZ+iYjFe4SzGAEjYASMgBHoC4GGJkZfj2O9RsAIGIHdI8AS8kefnJIkiNKMVAUilhMv5oUhLEnPQh2zMCem7jnxwrVa3j7FmcvY9d+9e7da5RBcIvESTsfTJsvX00UcYoh1S1IiVxAzfjkRYy6YhyIKOR+NgBEwAkagDwSOXLp06XEfiqXz2rVrOvXRCBiBsSGQ5un0Kh/dmFNfIk1snAzJ0j5e+aqG+RL1EDn8YFGTiHg1WdXkb3T6n7lQvToEjJUQZfESHhzfunJlAsGKC2yIiHEfMsUwQwl7gmH1ylc6FBHD3QRMaPloBIyAERgnApcvX+71xU3AeoXfyo3AyBEYGAHT1ygRoZx4ya+OORHDvS3xUhw6jkZ/TcD03vHIkvMvPno0uXfvXuWM5YpfJGLRf74Z87PPPlv5xwpmMQJGwAgYASMQETABswUspgefG4FxITBQAqaPICLEJs2sMNhGIGIPkvXrdBi+2CZcyc+h118gYNrr64UvktkxCdYvzfHiOidiOfHKw5iIgYjFCBgBI2AEIgJ9EzCvghi/hs+NgBEwAgEBhgye+UZ78kVQiBphlg03xO8yGZN+iNetW7eqPb0gXxCvd999t5r3FffxYmGN59MGzJrjxTluCOQMvwxRJCxxYEG7koYxak+wZZj7vhEwAkbACBiBbSNgArZthB2/ETACRsAILETgzp07FXH6IhGvVwPx0twukaeciOXEi7ldGqKo5edzInbx4sWFz+KbRsAIGAEjYAS2jYBXQdw2wo7fCBgBI2AEFiJw6tSp6v4nb789uR4W1MgDiYhh6YrkS6Qr98+1iBhWMcLki3OUwtjNCBgBI2AEjMA2ETAB2ya6jtsIGAEjYASWInDy5MnJyX/8x8nZpT6nHkTEWnqvvEHEZFFbJZz9GgEjYASMgBHYNAIegrhpRB2fETACRsAIrIZAWjbeYgSMgBEwAkZgLAjYAjaWL+33NAJGwAgMFYE076tJ2B/s+PHj1QbNTX6iO/PIHj58OMGq1kpM/lrBtBVPfPc+8bd+4z/m9LeVTO1I2yJgAtYWKfszAkbACBiBnSGg5eghVIg2aT56NO1yXRD8KQy38acwBe9Tpz4bX40PNZIbC0j3ThCw/p3A3KjE+DdC4xvjQMBDEMfxnf2WRsAIGIEDgUBcjh5ShfUL+fjjj6tl6u/evTsRKcOdc9xYwh4/CGFwZ9VE3Ilzn5h8zSB56623JvnqkFrmf+YpneAHvxL2YMONBU4knOPGPcm++LPG9777KaD1v1ZhIAw5Gv/Dmf7iN/b5eBAwARvPt/abGgEjYAQGi0CJeJ07d27C7/z585U1i4ePRCwnXli88KtwjUTM5GsuHUCA+LGMv4RrVo2M5EpESeSKPdZwgyxJuFbY3K2KPyNf+FEY6zf+Mc2MJf3pnX0cFwImYOP63n5bI2AEjMDgEIj7gEGaIoHiYRlOeObMmX1ETBYvES/8aIhiHo8sYhfTxs2WeQRY1h/R0v6cyy2SK7nJH6tKstn1e4nQiqhFPyJqcvvLH/+YqPeJ7itePMjN+vfIrTARTsb/cKS/fRnCDqNAwARsFJ/ZL2kEjIARGC4C7APGohk58dLwQhbVQHIiViJe+I3DFCMRu/rKK94HrJAM1JDHoiUrFMTn2WefXUquon+iZouAElF4vx4WWhoOav1TImH8x5n+ClnSTiNA4MilS5ce9/me165dm6mnIKcnbZPy5ptvto7O+o2/09+O818YjkTDTA3t1pl2icezZ5fsLPXRjSUx+PZWEXjmQjF6iBfpQRYuPEGksHBxLImIV0xDWoSjsootqVvGXv5jwXr55Zcr0iXLFZhcuXKlsnLJwgUxwwIDyeI+AoGi7Hz33Xerc8I/X1samYf3XCK+fJfbt29XJJphojOpv4v1G/8xp7+xlz99vP/ly5dnxVAfJ4MiYPkE000A8vhxe35p/fMTXI3/+gg4/S3Jf4GAMQyNJcc3KRculBv4Mx0mYDMoejnJCFiJeGEZo/HOPSQnYjnxgmzhJ6alnyeyAGHAOtMkYy//wUVE6urVq7N5XWCGZaaRXKX7Ik8MR8yJ2m/SvDyIMwIB43tBzk6fPl25JeY2PaZ/658SWeM/vvQ39vKnj/c3AQsWMApuCvpNCB8TWaUBbP3G3+lvx/kvELDYyF63DIDMIW0J2BdfptX0/pQa98faa374+dTvqmGOPpmG0mUbgIxWf03ASsRrznqVoJZFLBIxvgDpBoF4KQzXivPb9cqIuEHCmojY2Mt/8AGDTVoh/rm2gmHx4vvwrfZZwQIBs37jP9b0N/byp4/375uAHbo5YIxZfyUNd+hLrN/4O/31l/9o5LXegDcUEnd/n3rnf5t+/5Ia9DWxCrfnTrmPv8p/hzDoymX0+tMy8hpuWJrXBV5YTGjIYz1RY54GPee4cW9mVUn+cT+ThjEyBA7ShTB0jiF125KDXv7HuVisTIhoEYw4PFtlnBaDiP7kxrBD5UXN+8IyyQ9yHC2UlaL0Z/17c8GM//jSn/JB1+NBL3+6vrfC9f3+eo62x6wftm2w7fij4Fah01UDFQOFeBexfuPv9Det9LrkH8Ksk/9opJUaZas8Cw2+pfO+ChGeTtOKsIA9TKPcIFbH016/Z74+bxGDeEGU8INgyUJWCUO86Mpl9PoTuYIwQaA4SiBYpAsa7SJXHPmpUS93hcGdcJ+8/faEmoAhdMwvgIRRxos8yL+OYy//wYG5WyJaDCdE6JlGdM25ykkRW9w0H6zyV4flOyAssoJAvOTGN83F+o3/WNPf2Mufvt8/L4t2cT0oAhYL+C4vr0qhS1jCWP+0wu2Kn/Ffj7yMPf2VGmSrpMV1yBvDCM89NbV+iWSJiEGO7qd2ZCReTye30yemT3f/s7Q3VX2/KUyJ0MV3G73+2jIiTGiks5KhGut8WyxkcYhhiXjhh0Z+VZKlBSXIUxADOuVExKQjP449/4EHjSAkDtOUBUwEC5IU/eEfkkbDmR7o1+qFryDCfAvytfK2SDPfMRJt4kBivJqvZ/3TZeiN/3TBl8Oa/sZe/vT9/tMSaLf/gyJgqiRXhYBCn7BHjhxZNeicf+ufNlLmQGlxYfyd/jaR/06cODE5dmyFSVh12qQhRwPvxo0bLVLrYi8lInSnXhcEi1ckXooJIsYvEjGFWUa8FIeOY9efEy++q6xd3GM4YU7EaNSLeIHjq4l0vZlW6qPBCilgTkkkYsI6P469/F/UsAU/8EEWkaRfPbE3q4FvgmgBDsiY3HLyjD/rbya2xv/wp7+xlz99vz9l0K5lUASMgr2LFWWdYU8RcOs3/k5/q1vxNpX/aEh3sWJ1HXYY835+HokQ1q9q6GBt8cr96joSMaxlWM6Ip4uMTX+JeMUl5/nG0Y+IGNjSsEcga394553J9ZookC6xzGBBaUPEXP6vZ/26WQ8h5Vv0Yf2y/ukQXuN/cNOf2x/9tT/IN7uWQRGwVU2Q9JhpvPAmgLP+1YYgGn+nv03mPw1TapuXaXjTKN+mQITOrkiiNDRxE881Fv002PmWpIFIvCKG3GOj5kjEuD8L8/770Xt1Tq8qJCwSMYiWrDkxwJjL/3WtT+8lIBlWKJGla1fWL+s3/gc5/ZFvxlz+DOH9VXbt8jgoAqax3m0BoLdAy823DbPIn/VPx5ovwijeM/5Of5vMf6VhSTG95edYy7TcfH5v1eu7n04mv/tjeYhhKS4tyMG9fLGOkn/cNETx5FdTmG/M+xq7fhrqfP9IwiHYGl6ouV8abioiBopVmHopcxEJSBbzmDSXKRIxhkyXZMzlP3ghwotz4aG5R7hFf1xDbH+WsOe7KP9uy/pl/cb/sKY/0rbyG+dtxO2vzba/2mC+aT97A7Y3HbPjMwJGwAgcIARYBfGDtMrhrftTslR69LgEPcMMtQLiouXrIV7ESdzoaJIx6xexAhuIFwtw3Lp1azZnCIsK17jHIYciXxAvGjAsR69GGkeucec+0nWeQRV4gH9YfvqUf3X5cp/qJ9Zv/PtMgH2nv77zf5/YHwbdJmCH4Sv6HYyAEVgLASxS576ZrClpBfQSEcqJF/7wrzAlIpYTL4XJrV88+Nj1g0GJeGH5wtql4UU5EfswjYLIiRdWnHfffbey5hBviYjhftDl+z/5SfUKP/3FL9Z+FTBDwEpkVZav2DMf/aUxU5X1ERIsayVxYAmDUDNUVEOEZR3j+4lA41cS47X+aWeB8Z+uejiG9Kd8sMpxk/l/Fb32uzkETMA2h6VjMgJG4AAjoIUvRKpExG7cm+4NBskSiWLJevznYUTECCOLVx6mCaI8rjHpZzhptHhBuNhYWfPBOHIdidixZBGLFi8a8SzOQcMVSxfHfBNm/HeZ6N70zXpzT+RnTvLruZvLL1jyPZIgQoAh81KY58lQQ0R+fpiImoiU5nlp3hf+9J2wWCIQMrkxRDEX6zf+SluyYI8p/eX5Yel1nt/z66UR2MMQEDABG8JX8DMYASMwGARyIsSDLSNRXcI0vXCXuLqEGZL+Bw8eVI8TiReN9ihci4j9vLbYcD8SL+0dpXBc50TswBOwhsbWusORYgO4yQoFnr+pF9sQkcICtisrmPUb/8Oa/lRmLT1uKf8v1WsPG0fABGzjkDpCI2AEDgMCIjUX0poNsngte68uYZri7BJXlzBD0H/27NnJhQsXKoIl4sXwtdu3b1f7u3HUcLajN29WpOrx48cTfhAsES8sNfScsyckR1luRMTw/2a9UXDTew/avaHxpWdeZzgiGEUSRpz7rBBJf2k44c6sYNZv/NMQVyQOZz0M6a96qWV/W8z/y1T7/uYRMAHbPKaO0QgYgQOGQLWq4adpHtKX7R+cOV782gpxs9ohunIZu/6Ih4hXJF1yeykRK5GqGEbEi02XtTUCR64jEYthDtz5ksbX7H3a+psF2DuJBCy3gn3tBz+oPJaGE+7CCmb9xp8EeJjT315OLJy1zddt/RVU2Gm3CJiA7RZvazMCRmCACLDZ8sfpd+vjKUlaRMTi4hrM81q0aiKvKuJF3OhAVy5j1w8eIlkiXjS0mLOFZYyFOF5NDYucVOXEizlLLMCBpevq1asTlpzPw+TYH4jrFRtVXYcjYgXTfkQishBY4pMFErxOnTpVwRbnfckyFv1BzBANMeWbyi36qzylP+s3/mNOf8oH+447yv/79Nphqwh8ZauxO3IjYASMwAFAgL28jj45JUiQJH5Pp7bj6fQ7WpeSEC/cWRwDYV4YwsIbELFZmBNTd4iXiNXUZS9OXes4dv0s1qDGvHq41aAHo+Npk2WWgYBwsSqaSJXwo9GmxTfkhj9+uDOxX2Gw8uB2YGTFxpfeqwsJA19wgri+8sorVVT30wIoiIgT5yJUWlgDN80J03djkQ4WV0HkBunixzc+efJkdS/+Wb/xH3P6i3lhdr7D/D/T6ZOdIFA3LXaia+NKqCDo6ZQ0nev+po/Wb/yb0lx033S6U3xjT3804LCOSJrOdX/REZLFUvAQLpEmETE2ToZkReIVN1+uhg8mAhaJGOSMjZ0lOZmTu45j1w8OJeKF+1tXrky+m/bxwjqi4YQiYtzPiRdD52jEiUDkRIwwm5Cd5L8Fja9W6Z/wCYu2AlaIhiKy1LyIsebZQKzklhMrDUUkDhEySBrfFtGqiJG4VTfqP+s3/iSFsaa/mBeq8x3n/336FzjspPwbsP4Fj9b61oEmYK3f0h6NgBEwAi0QKBEhESlIVSReik4LX0QipjDLiJfi0HGs+mncq4EvLGjAv/jo0eTexYuVE40yfpGIyS9HiBeWLi1jjRUH/2rUi4jFMIM+X9D4Wum5W5KwaH2qMEvh+AYQrrbESt9wEUmDjIm4xfew/j3rl/FPRHRk6S/mhep8x/l/n347bB2BJ7auwQqMgBEwAgcMARGh809Phw1Wmy4/lYZhHWt+EREx/EK8CItVjbhWlTHrp9HPnmDfSnt63bt3bzYnCWLFnDAap1ogAlw5xy3uCcaQRMJeSdYzCNuBGnLIS22q8UVcSIv4qkZ/8lpZH2r/snS1IVZtSVor65f1V5/N+H9c4TCG9Fe9qP5a5Fd5bXXcdHytlNrTMgRMwJYh5PtGwAiMFgERoUXEKwcHv12JVx7XmPSLeLF58gvJ6gKJYkENLCOlDZUhDDnxgjzglzCEPZBEbFuNpQXxzlmf6mX6e7N+WX9VDBj/nqyvPaS/uXJ/QT6d87fqxbbiXfU57H+GgAnYDAqfGAEjYASMQB8I3LlzpyJODF17NTUURLyY84XIipUTMQ03FPHC0oVfRPPFciJ2sR7SWHka2t+2G0kN8QvHXz2x1yTIrS9AJTcNIdSiGsusX5AJpMn6Zf1vVPgY/3Gmv+rj89eQP2f31z3ZdvzrPt/IwncYHDMyhPy6RsAIGAEjsFUEtKz5J2+/Pblek66SQhExCJca7ZyLdJXCiIhh5SGMFuco+e3VbVeNI/RkC3OACZs4i1iBg1YphFxJcONbaVENjrjFcNyHSOduxBHdFCdH6zf+Y05/VV7oMf/HvOjz3SFw5NKlS3vLCO5O70zTtWvXZuc+MQJGYGQI7KrSaYL1oxtNd+y+CwSeubCnJSMFezdGcNZHPoh496Ffn5XnsH6hsfuj8R9n+ov5f/epbhAaL1++3Otz7Nl7e30MKzcCRsAIGIHRIjDmxkBf5EN6dewr8Vl/X8hP9Rr/ceLf93fvF/VBaPcQxEF8Bj+EETACvSAQLTC9PICV5sPhRoVIi0YQmxkzDFDD/pbhw/A/5mZpCOFC/88dWXjbN42AETjECFD+LOn8euutt6rFjBYN844I5fswxns+n0fAFrB5PHxlBIzALhFYUvjv8lGsqycEWpCQnp5s+2pJ/w2/19NiIc999NHkVFqg5Fhalv+1l1+efJgaQ03+uYcf/BKGsMTR5H/7L2cNRsAIDB6BhvJXCxqxaFFp+4/8veJ2IITRfN3cn6/3EBgMAYNl56tTaZnhvcedVH7wK+GjE44J1hLOceOepBS/7nEs3bf+6TLPESdwNf5Of0oTG8l/qQFKLz8r4UW5e/fuhF8U/OBXQm8/bvT4SzjHjXuSUvy6RwO1dH+M+iOOM3wKJ2ArfCLOBa8zJ32X2feDeEgaGgG6PaajGj7sYba1fdCM95iSlN/VCCxGIJQHOyl/Fj/NaO4OioDRsOfjS7hm1apIrkSURK6ooHCDLEm4VtjcLcavexwVJt5XHNa/R27BJJJb4+/0R5pYN//9x7/4i4oEablq8iQNdZa9jqRAREmNfo64RaL24MGDfXGV3NAhsf4p/rdv357wi5gLI44iXmyUzLfhxzn465tE/5wTl+LlW/EtKqtM7jE0AvJbY7guNXy0HH++/L56pMl3cQNqLcdPnZUvvz/rkR45zmNIS35HI7AqAvfPnKmsVrHjZyvlz6oPdoj9D4aAUXEgWlqYc7nFxp3c5I8lhtls873UmyqiFP2IqEU34s6ldF9u1r9HboWJ8Z/u2+L0t7n8l0ajz/YZIn9qz6BIruQmoqb9h2jkizRoqWvIgUhBdMvzPtek6zHrfzNtPvr/u3q1mmcUCZMwzYkXmPEt9D1KRCyPhzlMkIWzELAmGSk5oFOr1PChfEFEnnIipnKY9Ms9kTjCaPn9SMT+dbKq5ZZm/FqMgBEYLwKUCZQff58MGrSnRbw2Xf5QxlHWWaYIDIaAqSGLRUVWKIjPs88+u5RcRf+8FpVVE1GI8cdEYP3ThnTEx/g7/e06/72QLFoiV5AmGu005EUEIpESuTqTeu4QETXCiBgoLhE1wsitlP/Hqh8syO/nP/+8IknCXZYrWbzwB7bnz5+fgDs/zoW3iJjC8d1EvPB3OhtSSnz7ZIQkjH2w+OUNHzoQ+S7qXMyJWIl44Zcw6nwUEfvs3LlqYQ7tubYPdzsYASMwSgQoE1i051wqI64/flx13gDEJssfyjaVc6MEufDSg9oHjIrj5TSJmEafKg/IFawZVq5KiMqFnj8qH5EvKhmsYHxkzglPbysCs6fiKsUfMSndt37j7/TXQ/575pkqa0KWyL8QKCoHBKJFQ59Gv8iXhs3hB78QLUgDQsM/EgrOcZtJPRdpLv+PUP8MD05SeQv20YoI3iLFc37rC5FbwiDgrDCVQ5zzVTmkv0C20Ceize2ffP/78tX5iGWvrVDWU4dsUlbRH/VSf1HHycLFPepAnpH6rSSkX+rG+A7UkfyeS+SuKN4HrwiLHY3AKBBoWAWYsvyvv/e9zZU/qf29TPoof/veB2xQBIwPJCJ1NQ2HoTJBIE9YZtqQq7ZELcZfKan/rH9KZCM+xt/pr5f8VzeeIVJUCG3IVVuiRueMrGmpxTorAuby/4j0U9Yyl4/GuspdkSPmbYErhEoCUZLFERLMfQnfivtzy6AnjKlgIRT0gnJeSSBgDINBVxSGha4jj1NvblvJFxhqG26Rv1X0E0+JeIEX5Io8iORELCdedGCSjvmeCKlbRDh+w+qmCVgFg/+MwCgRyAhY3olG+btu+QOus46gBUSsj/LXBOzatbl0P9cLXa9iSGVtK0QPVgjjX6VNp78e819tidmqFSwQsH3lz0j0Q7pkbaEBPyNigSCRGUS8oqUKdwhYTsRwR1gKnbhFIIi7RMCIkwZALr/46U9zp6XXmmewCgGKJGepgiUeVtVfIl55owXMIo4QMUQWr7nvltyJ89GLL+6bVzlnxawJ2BdfpgVW/pS+47EqylZ/Dz+fels1zNEnk3U024HU+o2/018P+a8mYDnxImfPOm1u3qwyepfyh/JK9QqR5GVaFXH910f52zcBG8wcMH0Ieu6oWKis1YOnHllVNPiFlSPx48qf3LDc5P5K8VcR1X+l+4rX+ulLnUqOK67CyfhPF+hw+ttA/kvkSJaq2OjXPBYNdyP9yZ/meNHbLyuM3CAK/KhwcmsLcezL/yPRT+XKCAOVvXR4kX6rfaQSLmAf53WBIRZJWSXz+2AJ5uxFRVyU58SNjhn5wlML+f5PftLC19QLJERlU+tAG/TYVT8YqdykkUKHAzjxDSSUr5AqRiegh/qIH+e4cU9lMGEYdliaoyfLpeLlePf3k8nt36bfv6RvXROreD+ecx9/lf8OYdCVi/Ubf6e/HvNfPayffAnxYog+ZUdlMa87elYuf6g/UhlGWUaZhlDGUdZtS7qWv9t6nmXxZv1Qy7xv/z6ViIiOevhgxoiuORc504fFTRV79KewqpRL8RNWUrqvOGK81v9WBZnxnxYsgOH0Nx1WFvOJ8s5a+S8V2k+kuaE0+iXVUubpgspCEkmW3ETaRNggXnKL8cl/Mf+PRD/kk+/Fj8qWcpjKkupSXS9gllu6IGFgSsNeRAw8p/aZ/UPmhHV+5PuVSDH+nk9WNMWXh4vXpDPeo4vQOFC53iU8Ybrqpxyl8cAxki6+Bc9FnhK54shP5Y3c9cy4/2/JakiHBN+LRhTfjGswVl6Qf46nU9bCAvEwGSBpCB9Po03PfH2+Rx7iBVHCD4IlC1klDPGiKxfrN/5Of6vlpY3mv3rBK8qIOEyZ8pwy4zjlR72AUpvyh7qDsoyyuOrIS2US15RlagvkZUCf5W/+LLu6HhwB4yMgsSJSBaMKh0ZS9Id/Kir1Bkb/6nlVpRzDxYqOOJDS/Rgffqzf+Md0Qppw+ttu/oMAfJYqAQQSJcuXrF5UFPyoPORGxYFfGqEiW7ghELdY0VSO6S9+V5UP5P+x6AeHEhF7NRGA//HZZzMchZeO4BuJ2HfSt4A0UGar7JXfpqO+UdP9f0w3Fi3MsS55ih0HTc+wyH0d/WAUcYokGJ3ETdqkXlR9pKOeCazxw1LSzKTT3D0RZhEx+Y9HhhGeeyo1AAPJEhGDHN1/OE+8nk5up09MY7j/Wdo+or7fFKZE6Kx/DwHj7/TXa/4LdSSpkrpUHWpcU5Z8fOzY5H/+zd8sLX801JwyK9YBImLEV5I+y9/S8+zCbVCLcEBsmlYu5ONQKSFUPKqMRMqovCBgqy4eEUG2fuPv9Pd8lSUYNkCBSZ5jZdLB5L9UDlAxQMAgUTQuEa2CGBfXaLN4RxU4lRtIq/x/SPVrAjQN/Nj5VQET/9L7Q2ohsiLBfIe5ntMazxhMnVaU2/SAzlYHTPFJqPSJe5nkc8KwHFH+HzlyZBY358gu5oBtSj/PmxMv8h31HfUc9RsiS5kImIgXDR98QGT5HnwjMEVwExGrHPTXsAhHJGLySo97JF5y11FEDEuGZBnxkr/8aP3z1kbwMf5OfxvPf9kiHDnxKpUl/6621JfKH9JpqczCjXIqdjLhNwpln8hbdF92vk752/ccsEFZwKickdgAiB+Ze6rI5Y8jH87Wr+lcgIiXrX/TeSfK9KX0RfqRlO5HPPHn9Nez9TP1qn1cby8hSxeVBr9tWb/47uro+fCQ6ocUycpCPigRsSrtJzL+w7qcBhcEIiZC/MSvfjXZm7W0l1+Ut/DfNAQFwtA0BJFwknw4IvEpj8tPlyPP2MWKtQn9JeIVGyzoiH7inDE1Wt7PSBbzH2ODik6KRiKWARYtMli/qqGDtcUr8zq7xCLGDyLGsEQsZ6ss0DGLKJ1Y/55FyPg7/W07/8VygnyYlxOxLKk2aw5zVlX+5CQrL7PUkRvLtZjn+yx/43Ps8nwwBGxRw5YPqwpWFXmJpOEmkb9Zw6kwbFF+OVp/c8Pa+Dv9DSn/0U3zmzCEUIsKxPlgss7IQlYattg1/x9G/VSWWD0pN+OPMpV7ImdgpvcXAZY17Nvs/5XIcSkM4XDnp6GduEWh0m8rDEf893/2ZzOrUNtwi/xRzq0i1BmySq0SruQXzIkrb8REv+RBSFgkYtwnTNPwUDCNQ0NpaPG9zp49G6NuPIcInU2/VURDE1cJ0+TX+o2/019T7ii7d8l/spbnxCtqiGXJ+2kUyneSxR1ZtcyirFN7IsbfZ/kbn2OX54MhYHwUJFbQufWB+9Ef11RGu7J+Wb/xd/rby6d95j8sLYkZVD38u7J+xfx/2PTzbhqjTxlMOo8/7iNzJKomLJBc8PhRmzDTaIr/InTFmwXH//7gweRUwb2rk+qbtuEhpVpuvm2YJn8MnQfb2DBRpyDfIeIeiRjxvZTCpS7rKuo4PDQODY2Np9Lcx7ufpnkef1w8xKtSUP9piCCX+WId0V881xDFk19NYb4R76Thdp9av/F3+ls0xDDmmE3nP8pwyl/KCcmysuSz1Jnzv9I2UquWWQwZLEmf5W/peXbhNrhl6Hfx0tZhBIzAIUCgMNdop291iPTT2KczCxERi8sHQwC4ZkSBLFjXEzGA/KYesPZhkg50bUqms6I2FVt/8YCpGjLgQ2OE+Yzq8OHINe7CD/8V+UqPTWMJSzDzHmX95cg17txHaGCVCBj3mLv1QVrl8Nb96TBC3HKh4acl6BlmqBUQFy1fD/EiTuKO88PyuK3f+Dv99ZP/KBNEvlYpS1T+rFJmqf7I8/8YrwdDwKjgESoaVTAaPhiZcfSHfyohTJeMQ43+YdlYxtSoiOEUP+ElpfsxvpI/3Kzf+Dv99Zf/jr//flVxqLeOPElPHhUK5KAiCLUb92iUqjHKtaRr/u9Vfyr3qDT5rfv+zClijD7lmcpMETEWspgjXolE4Y+tAaq9wU6caB0GHZvcB2a1QYP62sM8lhoxpEv2TovpMxIx5iTmxAvLF8MONSS3RMRyBLBInfvmdK5NiQjlxIs5KfhXmBIRy4mXwuTWL57F+vewNP77iajT33zHh/LSpvIfebBEvJaVJZQ/eWfRsjILXZYpAoMhYFT2sZLh8URulhEpESX1FhJWcYm8leLHn6R03/qn5Mr4LybyTn/T/b/6yn9/eOedKhur558LNT41PwxCJjfGu+eyTv7vQz8LYYhIap7bOu9PeUlHAnk9J2LCCmJGmcj9nyV/YCqiCxnjnshbKQxxo0Nls/x0PearIXaNZwjhGM4YLV5gJIsjuFLGRIukLGKEqebepZcgfWsDVUg56YJrpXsRsaaFTrTwhRp1IgI30lQPlpeHZM0afmnJevznYUTECCOLVx6mCe88LuufYmj8nf62nf8oE6L1vE1ZcixZ17uUWV0WOmoqMw66+2AIGECqYl5kBVvUUNqFFcz6m4my8d++Fdbpr5z+Xk0N+3WtQOuUP7vU/5vU0EZEJDdhBRN5wtqSEzEqTBEvSNTNRLyoeGnc8+McIgYpE3nLwxAncYvEVS+wzl/SdZhEjZJIvMjrUbjOiRj3CfOtNDwUwsV3iMJ1TsS0iXn0F89zIsS9ZSSqS5ioM553iatLmKgznneJq0uYqDOed4mrS5ioM553iatLmKgznneJq0uYqDOed4mrS5ioM553iatLmKhTZUIkXovKkp+nMkeyapmlsk7hx3wcFAFb1Li0FcZWGPWuL2oo92WFsRWsXysY+DMcbR0r0Lrlz070JyKjxSp4101awagIS0SMhSYofxnW/c818dIzEIZzETHIGX4VZuPEC4WHjHzxSuyL1jTUkz3N9F3wKyKG/7kwCReG3DIs9MaNG7O98QgjInbhwoWVVkBkc9gLac48Rxp5y0QNwVXCNMXZJa4uYay/jEAXLLuEKWvfs66ukpasf5pXV8EM/FkVlbIhduI0liU3b1YdQfvKnxSPOtgWlVmzPSCbPvyI3AdFwMB9UeN60XBCKigqe1thbIURGSK9bGMu4KKGutNfv+nvhXqTYMqSbc0FW/T9t6n/az/4Aa9VNaY1rGxTVjAqTvKL5seqwY/VimXoWaXvw2eemZE/ngPd0s+1iBgkjTC5xUtznNSRQpiV5RCSrxwDNWKwJkJmEY6yLpbwU5gTiXxp3qMaUNqkPNcTr6tV1T5N80C+jK6Lz5njxa+tEDerHaIrF+ufYmP885TRfO30t7n8F1EulRtyeyl1Bi0qf1Yps6LOsZ4PjoDRuIFIIap8aAzEa86p4JFo8RBBUzjuK6zMnqX48Scp3VccMV7rN/6kGae/6bL0YDGU/PefUk+ehOF5iIZYYAmQmxqq8stxE/l/G/pphsfnPXXqVPXY0eInq1T0p3dd9v6kY34MJ8yJGD2Wr6WfBNLFfAHmJPHjPCdibyZ3lZsiXpovEPOM4mx1POTkSyRKjRg6jyC+9DSXhobiPw9D3fkokWZ6szU0VI2nRUSMzX4/Tr9bHy8nAnFxDeZ5LVo1ke8q4kXc6EBXLtZv/J3++st/5Me8nKCupAyhLGFRH4bZ5x1BpfKHsooyi7JLHeCLOo/ysmBM118Z2svyQfnIfDiRHFk0RMx4ZhEqWcxwkz+5UfHn/krxE1ZSuq94rX9KjMEqxxU34WT8p+Ojnf56zH+p0+aLF16YaMGBSE6oaKhcTp48SbKdk43l/w3qv5/m9iAiU5yLUMkShptIkN6V4Ylt31+VpYgYR/Ixv+fqzi7ij8Me9TzgCRHjHs8z05/w/+vvfW+uk0Jx8rwrySEnX5BeEVPqPnBShwY4QWZJm/xwV0NIGFI3Uf6K9CYPk9PJjW+h76YGFt+IoUZR2Mvr6JNTEkBDmF+1J1HqvzhatxIgXrizOAbCvDCEhTcgYrMwJ6buEC8Rq6nLXpy61tH6jb/TX3/5j8Wq1JlH3RjLcfIoq/1eT8fW5U/ySznFj3KJsk1lFmWb2orEPWapi9bhQKBKh48kUcWkj0bDVm7yp4YTFZEqoeiHnm2kFL/0NN1XPNY/nedj/J3+lCeGnP9o/P8wWWeoTKhUEK2KiFtJSuWD3nXV/L8R/ak8U8WoRjPESm4iOzSu+UGKRIxEyNq8P+Uj78f35H31Y7XF/ysRVeLWfDPi51mkh3vgylFEjHuQP/DHRkq8/FQOl7BvdGsgX3TQ0dMqaTrX/U0fN62/RLx4Zjq7qNfALidi3Oe7qc7jmvKZxs4r4FaTsEjE8JMLJIul4E8nwiXSJCLGxsmQrEi84ubL1fDBRMAiEYOcsbGwJCdzctfR+o2/019/+Y98WCJeuL+Vtij5bipTVi5/6o476lR+lFOqS4l3Xdl0+bvu83QJf+TSpUt7NViXGNYMcy3tpC2BRGGqpCKiEkH4aOwbQwXEfYSPyYekQuc+QgVEpYP5k3PCYz5FaBSQeErxVx7qv9J96zf+Tn8HO/99nlbqo3KBIDAMi3MWjZhJ3cDfVv7vrD+VeZAoyi8IDcNAEPVWQqxEyjS8DD/4hSwxNBDhXdu8f+W5/qP8fPTiizOihzPxRuIV/XMeiZju8Yw0/o+midtFSe+4UOpvs9DPIb2pBgvzSpFlJJZvJuKM/xmhC8NHcZ+Tj27MXeqiZL2CVEXiJb86RiImt2XES/7yo/XvEWFhY/yd/jae/57ZG66vdKYjdc+Ljx5V6yrg1rn8Se31ocrly5d7fbRBzQHbZO+zmHbsdS3FH9Ev3Vc8Inqq5AhH3AgNN8ifrW+2PqonWunG6W/P6lHKX1UGqv9K94XjOvlPjf9dWr/03Hz/TvprYiJLl4jWNqxfwI+VhZULKcsQhh2iE/IGiYLYidxxn+cAT37RMiZ/hCEscUD+sMQQNzo0fJl4FspIyRdpnQ5DOn4gX9QrCGmKTkXyCfWQhHPcuKd0RxjCEsdzH300G56qMMuOskidT4ZiSFS16fJTiYQfaw6pFejwSxjCYtXQEMbmkPvvWP8UO+Pv9Lfr/AfxovOOrS02Uv7Uoyv253K7DMYCtq3eZ1u/bP2z9dPWX8oXNgveZ/2iDkgN/V2UP631p9UGkZ1Yv1CU3j8So/cXWLogWzyXiCHBkZmlqx7qOXWd/kfLGFSCoSOzpYhrchH9V+cjJF+5xQsShZtGdECuRLDASB2AuZs6fUjTEDM6BxG2CNB3qhz4a7CAze77xAgYgcOLQLCAqVynjKec3nT5M7PID8giZgtYnbRViahSwVlu6v2ObvJHJdPG+qS4FK5WOzuU7svN+qfDPI3/XppUOnL6Ozj5j0qFBmhJlNf1XWNa31T+b6P/V0/sDUoQyZH1i2eS26pzv6hckab3hxCxEAeNdA3V1LBGwsniRc+onoG4FB9u3IsWsTweyC9L1M/IFxGXZITkCwIcLV75Ev50IpEO6VBUGiXNxnTLPfzgF4G4UT5pBUW2SMDPnTt3SqjbzQgYgZEiQJlA2UA5/2rq+NlG+SOLPGWdZYrAYBbhoFcU0TAkzuWmYV1yw12VDKyaa1VK8sPHzt24F+PnWiJd8b7crH+6DQBYgQk/4z9t5Dj9Haz8d5r5MAWri/L6tvP/Iv0//cUvZisIkte0SiNzryS4sQR9NawvOXLETYQMf9ynIs3duBfduI5SLTWfhg2qJ1QECv2cSyBdxKNn4FxhIGL8Yhj8KUwVB/g3kawmdyk/pEelP+qsWN/krysihr9IvlQe5/65FhGDjF1NpO3vfv3rkje7GQEjMFIEtK3JJ2+/PbmeOm6aZN3yhzJLZV2TjjG5D2YI4phA97saASPQMwKRhPXR6M/1x+tdQ8P7F/SLVEHmEJEoEa/8MfGnMNzbR7zyALnePr5D/kxjudb39hDEsXxxv6cR2I9AGILY2Cm2P9Shcel7COJgLGCH5ov6RYyAERg+Annjf9dPHPWrMbzrZ5C+Bv1YtvixnDwWrSbipWi4z3BJwmAxkwVP9/cdo16Tr33wbNUhpr+tKnLkRsAIDB4Bl7+9fCITsF5gt1IjYAR6R6DvRmjf+lt+gKVEKosHIrZSmDFX/pGEZjjqsi0Bln8ska0IsAL4aASMwLgRWFAObb38GXH5bwI27mzntzcC40ag78K/b/3j/vr9vz3fv6Hxo+GcWxsC2v/b+wmMgBEYKAI7KX9GXv/tLbnVcyLQPjTxMZgQHyfFcy8ul8w1e6DgxgRjCee4xb1SSvHLP8fSfes3/k5/85sobiv/xbzo890joPIvlqOLnkJ7T5E/Yjm7KIzKZXRZAgJZI4SGDytKalUyLcJSWmmSWCBorD4ZV6gkDO7EgTtxWoyAETACyxDYWfmTlXvLnusw3h8UAaNijks+c82qKbFRoIaCKn1WO8QtNpS5Vlh9NLnF+HWPY+m+4rD+PXILJpHcGn+nP9LEuvkv5kWf7x4BlX8vp73StGpe6SlEvLTpL+VzaXPgGJbykziJW3rifZ8nBFJjpNTw0cbW2hAbrCIRy4kXC6XgV+FMxJy6jIARaIPATssfk6/qkwyGgGnJeC2ty9PJLTbu5CZ/VOxsGMdeYCJK0Y+IWnQrJcbSfblZ/54VRJgY/zeqZOT0t5n8V8qTdtsdAtoHjG0VKEtzIpYTL56MsiCWBzkRi8SLOImbvcaW7gO2u9cejCY6tb5V78MDaYoEiofUAic5EYOMISJeLIKixVLyeGQR8z5gFWT+MwJGoEYg7gOWlxt42WT5czHtBWmZIjAYAqaGLBYVWakgPmoQLCJX0T+vxV4FsWGAWyl+3CWl+9Zv/J3+pg3ybec/5UMf+0OA8g6iBUlSuhcRk8WLp6NsZWgb5S4/zmN5i1/KU8JG4iUS198bDlcze+Pwe/TuuxX5ohGEaHih9mHLG0Il4oXfuCF2bFCxOIr2/BkuGn4yI2AEdokAZQJlQ97xs+ny52pdzu3y3Yasa1D7gNHIo9Km8pfligr+ypUrlZVLjUAaClhgqPRFvqjwqezZwZtzwtMQQGggQMpK8cePU7pv/cbf6W83+Y+8Rh7epKxibRm7/hx38KCcpVMMobzl17TpL2Uu/mUdpxzHP+V1GzH+eyh98cILc3uqcQcihYVL5GzP9/RMxEtkDddle7dNvA9YDqOvjcB4EIj7gIW3hngxJFEWdm6tXf4sqdv7KP/73gdsUASMjywiRS+sKm4qfBoBbcgVwxHbELUYP3ol1j8lshEf4+/0t4v8ly/woTy5zvHx48etg49ZP2Ut87NKhAl3ytVIvChjVT5TcVJuSiBiEGksOlFE6HDnPJcx4y8sIolVVwQ905AqGkVI3hDKiRdWMvywfLSkkYiZgAkiH43A+BDICFiJeG2i/Pn5ks47gO+j/DcBu3ZtLtHbCmUroK2g47QCk/dlbZkrFDpcUJgjqxCwMeuHTLWxXIl45ZZKCFpOxPTZRLz0bSF5JQI2Zvwj8RJu4PS3v/zlbE6XeqQjEcOvLF4QLxEt3EuNKd3HbyU1Afviy+T/T4ncHZs6t/l/+PnU16phjj6Z5pRkG+BYv/F3+ush/9UErE1Z0bX8+XY9T5XSgjKNX+zMU1nTR/nfNwEbzBwwfQR6UqnMqazpeUXU0xorffWuqtEQ/cmNj5z7K8VfKan/SvetfzqEyPirT3qyL105/e3l03XyX8yLXc4Z9qY83yX8umEOqn4IESMMVPYy7JbyU0SJypGyUfO68Id/haFs4B5+8IsQljiIi/JcYRTnuliXwh9U/MFI+YYGiubYHb15c/aap0+frlY4ZGg9BArixY9z3FigAz8S3BmymC/cwfywXO7+fjK5/dv0+5dE6GpilfvRNffxV/nvEAZduVi/8Xf66zH/pTJBww3ppKHMiAv6kF87lT9pGGM+R5iyblvSd/m/6ntl/VCrBt+8fw1fIWYqbEQVuq5xEzmjspKoYo/+FFaNslL8Cs+xdF9xxHitf0qOjb/Tn/LPuvmPBqjyleJc9Ug+hwR0kbHrF3mivKPTCVJFZRkrTMpAvnPEGP8xDEQsSilMvK/zMeNPOUrjgWPsHQbXNxK5+q83bszIFQ0hfvRII5F0cY07xAx3hiKKiClMaRGO02nNDywQD9MoRxrCx5OB7MzX53vkIV4QJfwgWLKQVcIQL7pysX7j7/S3Wl7aaP5LZQXlBGUERwnlCOUJ5YjKGY4qS/And4VR+fPJ229PqInVkUfZRhmvtrj869h3+a/n2OVxcASMj4DEikgWKDXwNFxD/jhSUdFgoBKL/tXzqgZDKX7CS0r3Y3z4s/7pZHuw4Dshxt/pb938Fzs4qkS14t+65G3s+gV3iYgtI1FdwkifjmPGH/xUR4FHJLRc0911Mw3l0RBC3EoNH3qxNUSROWBxvpiIGGFzYRjhuadSAzCQLBExyNH9h/PE6+nkdvrENJb7n6W9yer7TWFKhC4+g/Ubf6e/HvNfIliUFRKIF5ZyjghlCWVL2/KnMp2kjrhYb4iISUd+7Lv8z59nF9eDImCLiA0fRxXUIpIkQgB48reIuEWQrb+ZWBl/p79t5z/ij73/MW8uOqfThbBHjhxZ5G3pvTHr1wRoyk91foEHRCAXlZMqX1cNQw9oaXXKMeMvjHPiRblLByB12Aupg/G9tKJv3hCixzkSL/VWqyf69u3bc0RMukrHEhG6U6/lQY97JF4KDxHjF4mYwiwjXopDR+vfT8SEpfF3+tt2/suJV16WMJxwWfnzaiqz3qzLLA1NpxzLR04oz+vYd/mv59jlcVAELFboaojZ+jSdf7WIRNr6ZOvTutYnCp0h5L8uVqx1hh3Gwpb3H6t+MOTdwYBfJFXCKCdecl81zKaHoByG718iXrHBwjvi59XUsPlZImJqCPENZPGK1i7ctXqZerK7EjGsX9XQwdriRdwliUSMYYlYziBUXSQSMes3/k5/exbnpvy0Tv4rEa+45UVeljSVP394553J9dRxh6jMog3fhoj1Xf824bpN98EQMFXuvCyVPyJiYeuLrS/0jiBkUkS99JyLpCvd4CZ/i4gr/iROf/1aP/kO5PNVhG9Gwb4pGbN+KksqVZEpHclT3BM5E9a4K7/Jr47LwqhzTXHpOGb8wY60DAaReAkbjrJIUi9+7Qc/mA0PyolXDMM9NleNDSwsY2fPno3eGs8hQmdXJFE0BDcl1m/8nf5Wy01d8p+s5auWJTzZLMz77+970FhmiYhR1qk9FwP0Xf7HZ9nV+WAIGB8FofJWBa2GtRrR3I/+uBZJ28XcL+s3/k5/e/l0k/mPuJTfOW8jkAItN9/G/zI/Y9dPuUtZSxlMOo8/Yce9WEbj3iWM4ovHMePPvovgGhsm6hTiO0TcKz+ffTZ5+J3vVPDRAJLE5aQ1X4O5X5GIxUn2Cnf30zTP44/lIV7yE4+aK4ZbvlhH9BfPNUTx5FdTmG/EO2lxj0+t3/g7/ZWGGM7nlOnVpvMf1i7mlK5alvA0VZi6I3RRmUVbnR9t9ZL0Xf6XnmnbboNbhn7bL+z4jYARMAKbQmBz9rduT7Qp/VScVI6IiBgWMRr+CEeuIVvqIMO/SMAqYdBlmUcA/ES+wIfGCEvLq8OHI9e4C7/jqcdZDSaIF0MNb926Vc3RIHbmanCNexymWCJg+GcVug9+P5ncuj+dz4VbLjT8tAQ9wwy1AuKi5eshXsRJ3OhoEus3/k5//eQ/ddKQN1cpS0S+2pZZlHGqP5rKgTG5D4aAqaKnolEFI8tXZMbRHx+KD4rpktUOo39YNkM61KiI4RR//NCl+zE++Y3+rN/4O/1tJv8pfx2k4/d/8pPqcX/6i1/08tib1M9S8/k+XiJVbGadEy/S/RNplSvmFd0+cWJWzi4Lg464rH0vwA1UaakRQ33DXmux3olE7MNkBc6JF5Yvhh1yREpELIcAi9S5b07nGpWIUE68mJODf4UpEbGceClMbv3iWax/D0vjv5+IOv3Nd3woL20q/5EHS8RrWVlC+ZN3Fi0rs9BlmSIwGAJGxR0rGR5PjdtlREpESb2FhFVcIm+l+PEnKd23/mnj2vgvJvJOf69X2Wid/Kd8eGCO+Xy1/HrbL5Lry69X1E95SUcWeT0nYoqKzizKRO7/LPmj15Qf84sgY9xTh1cpDHGjQ2Wz/Pg43dcyWrzASBZHcKWMiRZJWcQI8+1k6UJoLGkDVXqmS5swYxFjSemSaOELNepEBG7cm+4NBsmaNfzSkvX4z8OIiBFGFq88TEk3bnlc1j/F0Pg7/bG9wzbzH2VCtJ63KUuOpbKkS5nVZaGrpjLjoLsPhoABpCrmRVawRURpF1Yw628mysZ/+1bYw5z+Dkxh2kB2NjUccCkOW9Av8oS1JSdiVJgiXpCom4l0UfHS2OfHOUQMUibylochTuIWiVv6jiPzoEZJJF7k9Shc50SM+4T5VhoeCuHiO0ThOidiDx48iF72nedECA/LSFSXMPsU1w5d4uoSxvrLCHTBskuYsvb9RBx/Tn+1xbnu+MixWxd/lQmReC0qS36eyhzJqmWWyjqFH/NxUARsUePSVhhbYdS7voior2OFcfprJte7yH8HoiBuID969q0PR9yy/hIRY6ETvj/Duv+5Jl5xE2DORcQgZ/hVGBMvpYzFR/ZFaxrqyf52+i7EIiKG/7kwCXeskQwLvXHjRnXkGhERu3DhwkorILI57oU0Z54jjbxloobgKmGa4uwSV5cw1l9GoAuWXcKUte8RsVXSkvVP8+oqmIE/q6JSNsROnMay5ObNqiNoX/mT4lEH26Iyq7QHZFMaOOzugyJggL2ocb1oOCEVFJW9rTC2wmhIIOllG3MBFxE1p7/10t+gC9wl5Gf27G39zQK0PGkbb1t/QS0VJ/lF82PV4MdqxTL0rNL34TPPVCtlKRhLF/OTiIhB0giTW7w0x0kdKQrn4zwCasRgTYTMIhxlXSzhpzAnEvkS6VIDCkImt3lNe1fVqmqfpnkgX+65LTtjjhe/tkLcrHaIrlysf4qN8c9TRvO109/m8l9EuVRuyO2l1Bm0qPxZpcyKOsd6PjgCRuMWIoWo8qExEK85p4JHosVDBE3huK+wMnuW4sefpHRfccR4rd/4k2ac/qbL0oPFJvIf8QxSViQ1Gx+OuGX9pGN+DCfMiRg9lq+lnwTSxXwB5iTx4zwnYm8md5WbIl6aLxDzjOL0ca/3WI0YOo8gvvQ0l4aG0hAS8VIY6s5HiTTTm62hoWo8LSJibHb8cfrd+ng5EYiLayxbtY7vKuJF3OhAVy7Wb/yd/vrLf+THvJzAak4ZQlnCoj6vprIl7wgqlT+UVZRZlF3qAF/UeZSXBWO6/srQXpYPykfmw4nkyKIhYsYzi1DJYoab/MmNij/3V4qfsJLSfcVr/VNiDFY5rrgJJ+M/HR/t9Ld6/iMdDU5WJD96/o2RsB3oV2UpIsaRfMzvubqzC5LFinpxSXPelYobIsY95hBoeOIXL7ww+evvfW+uk0JxCiMfpwhAekVMqfvASR0a+IDMUjfxw10NIeFH3UT5K9KbPExOJze+hb6bGlh8I4YaRWEvr6NPTkkADWF+1Z5Ex5N73UqAeOHO4hgI83IQFgeAiM3CnJi6Q7xErKYue3HqWkfrN/5Of/3lP1ZSpfxGIF6xHMeNLS+up2Pr8if5pZziR7lE2aYyi7JNbUXiHrPURetwIFClw0eSqGLSR6NhKzf5E3GiIlIlFP1g2UJK8UtP033FY/3T1e6Mv9Of8sSm81/Mi8vO6aChp03SdK77nY4LyM/Jkyer3kHFS0+hZHZO+HoYme6tdNyRfspHyje+J99Wvx+m8/8rvSeN90i8aMBrDyruUYFHIsY9Vtb6YbKOYSMlXn4qh1fCoMHzTr5/g26cN62/RLzQQ2cX9RrY5USM+3w31XlcUz7T2HmFdJfCQcIiEcNPLpAsloI/nQiXSJOIGBsnQ7Ii8YqbL1fDBxMBi0QMcsbGwpKczMldR+s3/k5//eU/8mGJeOH+Vtqi5LupTFm5/Kk77nIiRpybkE2Xv5t4plXjOHLp0qW9FsyqoTfg/9q1a7NYIFGYKqmIqEQQKhf2jaEC4j7CB6WBQIUuUkQFRKWD+ZNzwmM+ReidJfGU4q881H+l+9Zv/J3+dpP/Yl4cxPkC8rPy83UhYT3qp/x89OKLs15R3ldLm4t45RhEIqZ76kk9miZuW1ZDgLqHeo55pcgyEss3E3HG/4zQheGjuM/JRzfmLnVRsl5BqiLxkl8dIxGT2zLiJX/50fr3iLCwMf5OfxvPf8/sdRoqnemI5fzFR4/WL39Se32ocvny5V4fbVBzwErWKSoURERLlQxuVEgIxAnyZeuXrX/qCVa6ib3upfRVJaD6r3Rf8Tj9bd/6Gb9F7+ebJD+8zKrxrep/GWBL4sPKwsqF6uRi2GFcvpw5APxEvrRpJ5avaBmTP4iX9qSiZ5X3J250aPjyskce633KGjoM6fiBfFGvIZRFdCpSTlEPSjjHjXsqrwhDWOJ47qOP5uboKdyioyxS55+eDhusNl1+aroyXVM4rUCHX4gXYbFqaAhjU7iSu/VPsTP+Tn/kpV3mP4gX83rZ2mIj5U89uqKUz8fuNhgLmK1Ptv7Z+jle6++gCuIlZGWtZ21jCetBfyRG79eb+IpsxfeFbGlOUXSfWbogW5lEyxhUgqEjXoo4Ayld5hYvSBRuGtEBuRLBIrQ6IHM3dTpRp0LM6JxE2CJA36ly4K/BAja77xMjYAQOLwLBAqZynTKecnrT5c/MIj8gi5gtYHXSViWiSgVnucn6EN3kj0qmjfVLcSlcrXZ2KN2Xm/VPrR/Gfy9NKh05/W0m/80yYt8n2yQ/vNuy+JfdXxefhvghRCzEQSMdwsSKeXHVPFm86BnVZG0a8/wQ3LgXLWJ5PFjCWKLe5Gv/R4QAR4tXvoQ/FjHqIYbTq+yhflIdhRv38INfBOJG+aQVFF9IDSv83LlzZ/8D2MUIGIHRIkCZQNlAOf9qqiO2Uf7IIk9ZZ5kiMJhFOOgVRTQMjHO5aViZ3HBXJQOr5lqVkvzwsXM37sX4uZZIV7wvN+ufbgMAVmDCz/hPGzlOf5vJf8qHvR4byMnGnwk9JUtYz/qrpebPn59ZuESgsIRxLpEVpRpamBzjAg8QMX4xzL7J3U3vLwUjPKquoc6K9U0OhYgY/iL5Unmc++daRAwydjWRtr/79a9L3uxmBIzASBE4depU9eafvP325HrquGmSdcsfyiyVdU06xuQ+mCGIYwLd72oEjMDAENgV+YmvHUnYAPXHISk8dk684qtwng9P3Ee88gDx/fN7vt4uAkpvHoK4XZwduxEYMgJhCGKxU3DIz76BZ+t7COJgLGAbwNJRGAEjYARWR0CN0dVDrhcCvZCQgerX8uUsJ49FSxavppfmPgt3EA6LGcv0LxS9/0JPvrkVBPpMd1t5IUdqBIxAZwTcGdYZunUCmoCtg57DGgEjcLAR6Iv8CLUDoH8pkdK71EeIWOswYydhLb5/WwKsz4AlshUBVgAfjYARGDcCC8qhrZc/IyZ/JmDjznZ+eyMwbgRGXPiP+8MP5O0XWKK2PgR0IBD4MYyAERgeAjspf0Ze/w5mHzDtQxOTIQtixEUxuBeXS+aaPVBwY4KxhHPc4l4ppfjln2PpvvUbf6e/+U0Ut5X/Yl7s83yT79em/MjftS/9Kv9iOZo/W7zW3lO8Yyxno5/8XOUyuiwBgawRQsOHFSW1Kpm2AyitNEkspRUqCYM7cRAXcVqMgBEwAssQ2Fn5k5V7y57rMN4fFAGjYo5LvnPNqimxUaCGgip9VjvELTaUuVZYfTS5xfh1j2PpvuKw/j1yCyaR3Bp/pz/SxLr5L+bFvs4pG1QO6Bkof3I33hU30j5CWZQTJ8oMhVVcpfh1j2PpvuJAn2Qb+vWO7MWnVfOkLx5FvLTpL89X2hw4hgEL4iRu6Yn3fZ4QSI2RUsNHG1uzqXVpyX+W/c+3BsCvwpmIOXUZASPQBoGdlj8mX9UnGQwB05LxVOgSucXGndzkj4qdDePYC0xEKfoRUYtuij8eS/flZv17VhBhYvyn6dTpbzP5L+bFvs6VppXGKTtyN8qYRfsO6tlVZigu3PO45FfH/P4u9WsfMLZV4P1yIpYTL56Zd9P78ew5EYvEiziJm73GvA+YvvjeEQL/rXofHkhTJFD40gInORHDKoZAzrjHIihaLCWPRxYx7wNWQeY/I2AEagTiPmB5uYGXTZY/F9NekJYpAoMhYGrI0qssKxWNGDUIFpGr6J/XYq+C2DDArRQ/7pLSfes3/k5/0wb5tvOf8mFfR8oQyh46cygLkEiItM+SiJXKnEUkibQT/efxx3ftWz/PwrPyPpAkpXsRMVm88EfZytA2npkf57G8xS8YEjYSL5E44rDMI6D9FR+9+25FvmgEIRpeqH3Y8oZQiXjhN26IHRtULI6iPX/mn8BXRsAIjBUBygTKhrzjZ9Plz9V6H9mx4py/96D2AaORR6VN5U9ljVDBX7lypWoYqRFIQ4HGEZU+9xEqfCp7dvDmnPA0BBAaCDSgSvFXHuq/0n3rN/5Of7vJf+Q18vAmpa21hfIBgtSm/ICktSmLIDIiYHn8+Tvm9xeVX9vQnz8P13wPyllwQShv+fGsJeGZ8S/iSjmOf2FQChPd+vz+PEff+iMWX7zwwmxDbLlDpLBwiZzJXUcRL5E13Jft3TbxPmCCz0cjMD4E4j5g4e0hXgxJlIWdW2uXP0vq9j7K3773ARsUAeMji0gtarxsunGCXon1T4ms8W9uPDv9NXdudCEHynv5PCq5r3N8/Pjx0uAU/Nsk2aX440OV7m+yk6kUf9TPOfqYn1UiTLjzXSPxgoCKWBE/5aaE/AGRxqoTBX+QM9w5z6Wv76/n6Fs/zxFJrLoi6JmGVNEoQvKGUE68sJLhh+WjJY1EzARMEPloBMaHQEbASsRrE+XPz5d03gF8H+WvCdi1a3OJ3lYoWwFtBR2nFZi8L2vLXKHQ4YLCHGlDwPq2PvWtH5xE+DhfZLkS8cotlRC0nIgRFyLipW8LySsRsL6+//QpJ5VVU88ot67HVdIfOiLxkk5w+ttf/nI2p0s90pGI4VcWL4iXiBbupcaU7uO3kpqAffFl8v+nRO6OTZ3b/D/8fOpr1TBHn0xzSrINcKzf+Dv99ZD/agLWpqzoWv58u56nSmlBmcYvduaprOmj/O+bgA1mDpg+Aj2pVOZUhPS8IuppjZW+elc13CX6kxsfOfdXir9SUv+V7lv/dBEO468+6cm+dOX0t5dP18l/MS92OYc8KM+3CU8ZQ1lDmSMrjp6feFRRyE1lAXHLLepTHpG/UvzxuUr3Y7zb1q9ngRAx/FJlLxZBdIsoUTmCj+Z14Q//CsN7cw8/+EUISxzEJYzxrzile5PHVb//JnUTV1f9YKTvTgNFc+yO3rw5e8TTp09XC20wtB4CBfHixzluLMKBHwnuDFnMF+5gflgud38/mdz+bfr9SyJ0NbHK/eia+/ir/HcIg65crN/4O/31mP9SmaDhhnTS5Av6kF87lT9pGGM+R5iyblvStfzd1vMsizfrh1rmffv3NXwFTVTyiCp0XeMmckZlJVHFHv0prBpJpfgVnmPpvuKI8Vr/lBwbf6c/5Z918x8NUOUrxbnqkXwuItUmrPI0BIK8D2EgDp5F+Z548Mez8Y4qS0j7embpxB9xERa3UvzxuUr3d6k/PovIE88OgeQ9qCxjhcnzgoHel/D4j2EgYlFKYeJ9nQtLXXc5rvr9o44+9ZOWaDxwFOnm2cD1jUSu/uuNGzNyRUOIHz3SSCRdXOMOMcOdoYgiYgpTWoTjdFrzAwvEwzTKkYbw8WQgO/P1+R55iBdECT8IlixklTDEi65crN/4O/2tlpc2mv9SWUE5QRnBUUI5QnlCOaJyhqPKEvzJXWFU/nzy9tuTl5KjOvJUX6r+lH8d+yx/9Qy7Pg6OgPERkFgRqTdZDTwaStEf/qmoaDBQiUX/6nlVgyGGixUdcSCl+zE+/Fi/8Y/phDTh9Ld+/hMZAc8u0oW8UQaoYuCbilzwLJQnXJP/+XE/kqsYTuUV/iEg+CdNlOKP71a6L+K2C/3xWXReImLLSFSXMNKnYx/fX7o59qkf/PhJSDukIdIAQnfXzTSUR0MIcSs1fOjF1hBF5oDF+WIiYoTNhWGE555KDcBAskTEIEf3H84Tr6eT2+kT01jufzaZfFzfbwpTInTxGazf+Dv99Zj/EsGirJBAvLCUc0QoSyhb2pY/lekk1YOx3qCuUxteeuKxz/I3Pscuzwe1CAfEpmnlQj4OlRKixhCNHn1QKi8qq1UXj4hgW7/xd/orrxy6i/xH/qbDZFWh04X8f+TIkco6xcqHnCNt5oAtyvfEzX2EsgZrUFssGG7Hc5XiryKs/0r3wQIitwv9PIYmQFOmikzGZ4znPC9kNHZCrBKGHtDS6pR9fX+9W9/6eQ6eIRIv0hrXpD3qN+gYRCo2hOhxjsRLvdXqiSbeSMS4nknDIhyRiMkvPe6ReMldRxExLBmSZcRL/vKj9c9bG8HH+Dv9bTz/ZYtw5MSrVJYsK39ezcos0i7lGGVY7GTCPUof5W/fc8Amly5detznLzWQZpIqcZYse8xRkj5c5ZYaM5VTGk9aXeOPc4R7XKfGSnXNXyJilRvhJaX4dY9j6b71G3/SltPf9vNfapjP8jaYt/0RDsF/POe6rSzK+5QlEsoY4m2THjZV9uxCfyJEc3iDh8pXvTvXwqn0bdqGQVdJ+vz+PE+f+klPqmvAlnOlMWElP4mEPeZ38+jR6qfr948ff/zZuXOPH1+4MPtxjXujn2dTHlnw++ybk8f/+NXJ43/++mJ/MQ78Eoaw0b3LufUbf6e/Lea/uqxYWk4kf7mfUvnTVGapviiVayrf+ih/++Q+6B6MBWxRL3D6aLZ+2fqX8rCtn4fV+su3VS8/522EMgOrQCq4K4tKVwsYuhaVP7uwQvWtXxhEyxZuiVRV+DK8UxYvuXMPWTUMQ1FK0uf353n61C8LJHVdm57ir/3gB7PhQY3WrQBy7NlmWemzZ89O7zZYwEJQnxoBI3BYEagtYHfu3KmGGa5algDLLMz77zeiFC37qq9zz32Uv7aA1fRXPascJbDl9JHmegK55qfeWRg317uwfvFc1m/8nf42n/+U51c5ympDzxnCd4nnXK8ii8qgtlYo6VO5RBkmKcWvexxL91UG7kK/nmWRpYtnVNkr/xy7hInhu5xv+vuv+gyb1A9+ee9xxLSEOz3S/KLF6/Pz5x//5umnK4sXR67jffzPudXWr98cTxa1J9v3tGOZev/o9NfW0oVlDB3oyq1h1m/8nf56yH+1BYwyoUtZMgtTF57LyizKOPxsQjZR/vZtARvcMvSp0WQxAkbACBiBHSKABY5eSkSTpVNFWVnAcEsEYLY0uixY+H/4ne9we6Uw6LLMIwCmmh8BPli6mY8qqyNHrnEXfsdTjzO9zwgLbzBp/tatW7PlpJkXxjXuWpgD/3GVs/gUzN36IK1yeCstrsh8rpIwN0tL0LP6oVZAXLR8PXERJ3HH+WF5/NZv/J3++sl/lAldypIqTBqF0rbMooxT/ZHn/1Fe980AxYRhxekDVD8x5La9yKv2Eit+6eZo/cbf6a+//BfzYtvzTfSASdei/N/Fuq4ySVaNUvzSzbF0X+XfLvRjOST989x65vh88Zz7+IvzitqGQYeslDHOLueb/P5D0E8akBVUZRHXYFtyxz8/Wbz0PbimZ7rkPmf9ovc7zP+SVUvxRItEfg/rF25N7sQri5fiU5ioM57ncVn/nkUkx0ZYNrkbf6e/VvmvtoBhJadsKJUZi8qSLmVWl7K2FGYT5X/f/GcwFjBYMb2siHr9YMupoq/meah3NvpRTyBjR2M4zuWPHkOkFH91o/4r3bd+4+/0t5v8F/NiH+cqcyg31EOnskNlCc8lfypzKIPkJn+UVcxNI+3IqhH9KP74nqX7u9TPsyut5xsq6zl5L96H+z9L70evKT/mFz2R3LincroURpgIJ/nxcbqvZbR4gVFq3Mzmg5HeuBZ2pBf88/t2snQhcQNVeqZLmzBjEWNJ6ZJoKfhz35zuAyaL1I20MCnLy2PtYlVD7rNkOP7zMLKIEUYWrzxMSTdueVzWP8XQ+Dv9bTv/USZE63mbsuRYKku6lFldtotpKjMOuvtgCBhAxsolJ1dqjCwiSixhrYYR/pk8T6WvRkEp/vgBS/djfPi1/maibPyd/mJ+WTX/xby4y/NFJIp3UNnDu7XZVzD65z1K8cf3K90XiduFfp5F5ClZW/YRMSpMES/K07T6VVXxnj9/fsKPShgiBikTecvDQO6IWyQuvr/PpwQMHKiDRLxyos41aTASMYX5ViJnEC6+QxSucyL24MGD6GXfeU6E8LCMRHUJs09x7dAlri5hrL+MQBcsu4Qpa99PxPHn9Dff8ZFjty7+KhMi8VpUlvw8lVOSVcssEzAhN5kMioAtIjfLiJQafupJ5hVFqNQgKsW/B8VicmX9i4ms8bcVlry0Tv6LeXGX53pmygs1elVmqAyJ76a0vog4HSTrV8S6RMRYoY/yDzL4z4lsQbriJsCci4hBzvCrMCZeEd3m8zSchhVjKoKlNCiyyuqe+i7EwH3SIP7nwiTcsUbevn17cuPGjerINSIiduHChb0VEKs7zX9q1F14ds/i1ex7eqdLmKY4u8TVJYz1lxHogmWXMGXte0TM6W/7+Y9VUSkbYidOY1ly82a5/Ekfsk2ZRVlnmSIwKALGI6nBQ6OIBg6iBo8aRSUiRQVFZW8rjK0wMb2saoVx+tsbBtxH/qsy/A7/FpGoXVif+tYvqKk4KV/1zdXgx2qV5mxVG9x/+Mwzc8SLjX75SUTEIGmEyS1exI0OdFmaEVAjBmsiZBbhKOtiCT+FOZHIl0iXGlAQMrk1aa02Pv40LZLxZZOP/e4srtG0WMd+39O47yYd6MrF+tPGywkb45+njOZrp7/N5b+IcqnckNtLqTNoUfmzSpkVdY71fHAEDHIFkUJU+dAYiNecU8Ej6r3mXARN4XBTWJk9S/HjT1K6rzhivNZv/EkzTn9vKOtsJP/NItvRifI0ZQ55H1FZoXyPm/ypjMFN315lQfSnsAoX48efpHR/l/r1HLwLP4YT5kSMHsvXQq8lpIv5AgyF48d5TsTeTO7CQMRL8wWEm3T7OEVAJEqNGDoA0vYDlZWrNDQU/3kY0tmjRJrpzdbQUDWeFhGx+8lQ9nH63UrTyZYRgbiqIfO8Fq2ayJtBKoiTuNGBrlys3/g7/fWX/8iPeTmB1ZwyhLLk3Llzk1dT2UJ9FTuCSuUPZRWWecoudYDHMHneH/P14AgYH5SPzIdTw0YWDREzPpgaKbJY4CZ/cqPiz/2V4iespHRf8Vr/lBiDVY4rbsLJ+E+tSE5/q+c/0tEuhTJGlQR5H1H6JY3zDaOb0nh0U17ATWWE/JXix5+kdH+X+vUcVJbSu4+I1R1ikXixrDkLPfDjvETEvnjhhYrMiXihCx3osswjAOnNiZeIKz4hs6TPnIgpDOluzuKY6lBZJHMixrL0uZz5elrEY7qifSMRi8SLBTKYl8NPi2XkRCwnXuhEB7pysX7j7/Q3zRVNRHSb+Y8yQR00Il5xqDlbXqxU/qRXUUdeTsRiJ2ZeDozt+gjLMPb50teuXZtTT0UDAeOj6UPRM83QQioY7lMxUakgVPzcJ3FQGVERqSFFeBoTVPpqEJXijw9Qum/9xt/pbzf5L+bFXZ1TNly5cqV12dGmHILUibyV4o/vVrq/qOzatP74LDwzZaasVO+lmydPnqx6R+NeUswVqPaASffpOaUC54hQgXNPq+3RbUMZzE9Wxsqj/2YI8L0h8mCkek83cadei9hRx8kf6Yd6S8I3pA6tOjBr8sw9CDR7g/E9+X6VfHRjeqz/IU2yRunGya9OV0CEaCGQLggT832QavhgsoSxAiJy9Mmpn9/9cXrNP43r0+l39Ct7bqUz6zf+Tn9Ta6jyx1bz3zMXKjWU35TXLMIR5/dy8626buxU/ugl0pFyinqFconzIcjly5d7fYxBETCRqGWNl002TiL61j8lscZ/cePZ6a+5Y2NVchDzX5/n2+5kyePP3zW/v+lOpjz+XH9+jf5HL74429SX+5CqSLzyMDkR474q9KNp4rZlNQTUYKHzB1lGYnPyTDleEbowfHTfE2QETPdLRCgnXvKrY07EcG9LvBSHjta/n4gZ/3nir7Sio9NfGuobOkLAZWn+qwmYMIxHOmxefPSoMn7g3rn8SZ1LQ5W+CdighiCqR48PLVFPrBizKhnuyx/EiR4/egnVE6hw+KHxgZTir27Uf6X7isf6pz0Wxr/7vk+l9OX0FxHo71xlib4RZYbcVAZQtlDGUNZQ5iDRD3kDUVmhcLjJn+LHLUp+f9f6sbKwcqHe67nUSwnZYhgKJIo5APxk9cIaRq8pv2gZk799yxkn3IgbHXHIZsTA51MESD98f6yykC/SHEJ6YuQHaUhpDXfOcYtDPQlDWOJ47qOP5uboEWaZYKk6843J5PzT00Zc3PurKaxWwMMvDT/CEscyq1cpPus3/k5//eQ/DTVna4uNlD+pLFOdWMrrY3YbjAWMypkhhLa+2PqixgWZdptDw2LGd/rrN//Fb9HXOY1eKpw2VjwauCIrNH5pHEOiVNG0Gcqcv2ef+iMxen+BpQuypaFs8flnlq40/DCXaBmDSjAExUsR5yjtDdEhDSKkMdITaYkykTRWIvW5G+mQtET6JG3SYYCwRYC+U+XAX4MFbHbfJ0bACBxeBIIFTOU6ZTzl9KbLn5lFPpVJQxFbwOovoUpEPcE4y02Nmugmf1QybaxfikvharWzQ+m+3Kx/b7yuMBGOxt/pbxP5b5YRezxRmlYapxGbuy2zgunxVWYoLtzzuORXx/z+LvVDiJh3SyMdwsSEbE3K5vlk8WLFQ+YRITTm+SG4cS9axPJ4mBvGEvUmXxVkc38Q4GjxohOAspX0hpAWSFPMeY7pROkLN+7hB78IYYmDuGhMvVAvlnLnzp3qvv+MgBEwAiBAmUD5QTn/aiortlH+yCJPWWeZIrBkSuzuYKomDCd19NhJ5KZKCHfc+KmSgVVzrUpJfvjYuRv3YvxcS6Qr3peb9e9N8AYTfsZ/2shx+ttM/lM+7PMoa4HyPc9CGUJZEt1o5NLw5dsj5AVIRRxaR5kRyx/8leLHXVK6v1P9zBVKQw7VEyoCxbBDziWyokCoECZtKwxEjF8Mgz+FqQKkCj71mlWn/psioPTF9471TY4PaY30h79IvlQe5/65Jj6IGL+rKd3+3a9/XfJmNyNgBEaKwKlTp6o3/+TttyfX606fEhTrlj+UWSrrSvGPzW0wQxDHBrzf1wgYASMwGAQgRZmIVNEriohEiXhl3qveU4Xh3j7ilQcwCcsR2d21vreHIO4Oc2syAkNDIAxBHGOnWN9DEAdjARtauvTzGAEjYARGgYAa49nLYtnix/LEWLSaiJeCcZ+FOwiDxYzlzheKLWEL4dnqTchvw3ffql5HbgSMwPAQcGdYL9/EBKwX2K3UCAwEgb4bwdbf73C8Fo3wpUQqS8oQsdZh+v7+2bPv/LIF/m0JsJ4di2UrAqwAPhoBIzBuBBaUQ9ssf25M5vch3PVH+M//9NTkv/zVX+1a7UyfCdgMCp8YgZEhsKDQ3SkSfTfCx66fj91XDyjY943/ThN7pmyBJUrDObc2BDR7FF8aASNgBISAyx8hsb3jYPYB0z408VWZlM4vSlwuGXeW58WNCcYSznHTcua4l+KX/6b71m/8D236o9E7JKmfZ5P5u03+nUEwcv2/+7M/21eOzrApnFC2Ct9Yzha8zpxULsfFSmY3h5YeZw+2g5OM/NLwYUVJrUqmvddKK03ydBA0Vp+MK1QSBnfiwJ04LUbACBiBZQjsrPzJyr1lz3UY7w+KgFExs8KThGtWTYnkSkRKlT4rlOEWG8pcK2yMC7cYv+5xVJh4X3FY/x65BZNIbo3/AUx/A23s3k/zh5QPlTfJ/7kbeR030h5CWZATN/Kswiou8nYel+5xHLP+Bw8eTK4kTNmLUavmRWx0LuKlTX/BuLQ5sPxz5FsQJ3Evwn/Uc5JSY6TU8NHG1toQGzwjEcuJFwul4FfhTMRAzGIEjMAyBHZa/ph8VZ9jMARMSzZToUvkFsmV3OSPip09TtiLSEQp+hFRi26KPx5L9+Vm/XtWSGFi/Kfp9KClv7/88Y9jsh/UOQ3LtDTAbPl28q7SmdIdeXzRvmN6IeVZhcM9j0t+dRyz/rNnz1ZEin3AwDcnYjnxAjOwFb5gmxOxSLyIk2X72Wts4T5gA+0cUBrZ1pEOhG/V+/BAmiKBQqcWOMmJGGkWEfFiERQtlpLHI4uY9wGrIPOfETACNQJxH7C83MDLJsufi2kvSMsUgcEQMDVk6dWWFYpGFJX2MnIV/fNa7FUQGwa4leLHXVK6b/3G/zClv/frYUlDHI7EM9FApPB/KTXskUiYtM+RiJXy/CKSxreL/ilb6Kwhr+cydv3gweqFNPDZLFnpXkRMFi/8UbZq01++A+exvMUvGBM2Ei+ROOJYKCMkYeyNw+9R2jQZ8kU+QDS8UPuw5Q2hEvHCb9wQOzaoWBxFe/4s/Aa+aQSMwGgQoEygbMg7fjZd/lyty7nRALvkRQe1Dxg9plTaVP5U1ggV/JUrV6qGkyxcNKponFHpqyFGhU9lzw7enBOehgBCA4EGXCn+ykP9V7pv/cb/UKS/VPDRMLt9+3bVm0VDeyYp3yCkdfLQJmWhtQNFdWObeSoU9mp8cn4suSF5/oVEtSkLsLaIgJH/IWAqH6qI+bP+GRT5yevJKkM5q6GelLf8RIZz/yLDIs6U4/jXN8j9V9eBbEGCRTS495Pvf78YZBXHpekvRNZL+g/64+kXL7ww29xa7hApLFwiZ3LXUcQrYrhs77aJ9wETfD4agfEhEPcBC29P/Ut5LAs7t9YufwptixvfPRK07v70qZ5XQRwUAQN+EalFjadF5KpL4yx+duufElnj39x4P2jp7zdpXggNNwQCRgONzgksHpXUBWM+j2p6c73/x48fL44gNcAp6CFZ6qknAD34FP4/30AnS6kTZfZQ1l9BAd4sN6wG+wyflDaYt0W5GokXBFjECnwpNyXkD4g8Fp0o+IOc4c55JYGAMQyGZ4jy3XjR4Xxp+gtx9pL+g35OI4lVVwg90+RZGkVI3hDKiRdWMvxELPVdNTyxiog/E7AZFD4xAqNDICNgJeK1ifKHerzUeWcCdunSkhbSdpPktWvX5hTYCmUroK2gm7MCM5wMweJF44vG2j4rWE3AyHuydsxlyg4XNGaRpQ3g1AAvWb9wQ6rnvnlzZr3u0sHSaP1CgfWDwozwck46UYOd68SmqgN/Il65pZTvkhMxBRLxUtqiIi4RsEgyFJbjL37603jZ6rx1+gux9ZL+a/2ReOmRwOlvf/nL6nvgph7pSMRwBzck/26lxpS+64yI1QTsiy/TcMc/JXJ3rIqq1d/Dz6feVg1z9Mn0rNkGONZv/J3+esh/NQFrU1Z0LX++Xc9TpbSgTItEbOwEbDBzwFTi05NKZU5lTc8rop7WWOmrd1XDXaI/udHwyv2V4q+U1H+l+9Y/XYTD+O81RPN0Ncj0lywN9F4hFJ4IPeP8KHBjD3l1cwN/DDsTNm2i4xl4Fj0XYfSsPHvVUEzlgfK08iL+5Bb1KY3KH2UIZQllSrTSEB4Zu/4pCpPKQhqHf2KRnC1fnrCDnICf5nWBJ8M5+XEO7tzDD34RSBZlMEN49Q3wPyNfUr7k+P2f/GSJj73bq6a/vZCbOeuqH4yUnmmggD84HU2dDxLN0cN6Tb6AePHjHDc6K2ZW7RQIdyzfuEO8EKzKWDtzufv7ZB3/bfr9SyJ0NbHK/eia+/ir/HcIg65crN/4O/31mP/qESfkS8oKyoy4oA/uncqfenQLZRpCGUdZZ5kikPVD9Q+Lhq/wJFTsiCp0XeMmcqYPi5sq9uhPYdVIK8VPWEnpvuKI8Vr/lBwb/2nBQvoZVPqr8456xzXxHrIjN0hPFApHpevovso5+axEdJri0DPwTDwbjUaelYainpOw//XGjQkpDoyVl0l7embpJI9CBsizuCnP4kbejsPoiHfs+sFAAhaQMHCnkc4RIsDvCRbUSB7Bk28gvAkL1vwgvSJiipNjKUy8r3OId1OnwPPJojqtDeS7fFw1/cVYlJai26rnXfWTljVnLqZRcH0jkSvSv8gVR37qqJC7nhV3vh3ufFMRMYVRWSD/HE+nogALxMM0ypGG8PGjiZR/fb5HHuIFUcIPgiULWSUM8aIrF+s3/k5/q+Wljea/VFZQTlBGcJRQjlCeUI6onOGosgR/clcYlT+fvP325KXkSHlGnaH6WvW3/I/5ODgCRiWI8LFUEak3Ww1cGlLRH/6pqKj8qcSif/W8qsEQwyl+wktK92N8+LN+4x/TCWliUOnvzTd5pKrgbLIu0csVC1r8i6xw3kW6kDeegWeBcFFwa5EBCnwV/irwbyY/LwRypQKdb6HygjICSwx5lm9CHo/+VIbo/cauXzjEY4mI4fYZC0AkTEtC+Qre/MCesrgt8VJ86Fgk/5huLlqYo0v6i/r6SP/SD36qo3CLOHJN5wPpn7yiBo+O3EfIP+Qj8jwCmQVT5SnSOuclYRjhuadSAzCQLBExyNH9NMoxEq+nk9vpE9OY7n+WLGv1/aYwJUIXn8P6jb/TX4/5L5UTsfyl7lUnHPmUsoSypW35U3WWpXo41gEiYjHfj/18UItwQGyaVi7kQ1IpIVTwanSpQUXlRaW/6uIRMQFYv/E/6OmPOV9qmC2dW6WerpRvEPIXHRarCp0e5L8jR45U1ilWnuMcaTMHjAbj3Jyv9FxUAPlcNRqYWGNebVkWaMXDUr6evWOKa+z6wUILYKiCzcn5DK908mEa1kn5GzshRICjv3iuTivC0AM6W50w4S/hm4s8yK10zOeErZX+goJe0n/Qz2lOvKj3qO+o56jfyKnqNFA+z4kXDSnu4Q6mSCRilYP+GhbhiERMXulxj8RL7jqKiGHJkCwjXvKXH61/3toIPsbf6W/j+S9bhCMnXqWyZFn5Q/0cyyzSbiRiXEvGPgfsKwJiCMdYocs6xYdERLRUkeNGpY9Qadn6Zevf2K2fbKIbG2U0ZilA+SE0yBAa2aUGNvmvixWh67Cr6mHSnwr0NlYw/PwsNUTJ85C+aN0SCaCs2JYV7DDq5zswLE29nLGnM6YT0lPV2E8kfzpOYfoFSTf8wF/fYHpnb7SAynbcm4agEHfTEETFxzEfjrhu+lPcfaV/9JeIF+lYVjHeET+vpvqQ9E9HBN8JEWnNSZZWL1NPNh0auZ8qgsJftEhh/aqGDtYWr4L3ygmLGD+IGNYyLGerLNAR47X+PYuY8Xf623b+KxEvWc7Jl3lZ0lT+/OGddybXU72MqMyiDU/7nDq5iYhVAUb4NxgLWKmXmgpHH41zhI+pyl6kzNYvW//Gbv2kUYb1TgSstfWLTJXCIuQncGwr5Fn8U9DK6hXPiaeNBQx/NCJXsYLRkDz3WWrpJVlUJiy1gtUWmLHrB8cZwaob9rhB1iFnDx48mDX45f7Er37F6Zw1jGtIGOkAMh+JV4mgpRqZIJVEi43cFh3//Z/92frpLyjoJf3X+rUEfpsGCnXh137wg+XWrfBusYFFY+rs2bPTuw0WsBDUp0bACBxWBGoLmEZAtOmgiWUJsMzCvP9+I0qUWSJiaiPg2RawRsh2e0MVdexB5YMhIlqcR39c82FpBO7C+mH9xn+I6e9nKf1jqRD5oiFLY5qCkR+CG9Jk/eKe8hvnbYQGtpb7buN/kZ9VrWBUAg+/853J8VToU2bwXfiprOC4TSvYYdPPt+Eb0Oup4WtYWPTTt5sbophIVip8K8zjN9C3UJgi8dLNcFT6DU4LT/97IoWnFvpY7Waf6Z+h8+AkixdPrtEe4BkxrPykzgfSP6I8znkk0fFb4UcLrESrJmGQu5+meR5/XDzEq/JY/2mIIJf5Yh3RXzzXEMWTX01hvhHvWL/xd/rrM/+p3F+1LCEXV2FSPYAsKrNoq/OjrW6ZIvCEgTACRuDgIvCvLl/u9eHb28u29JjBgrIlDYujPST6abhDKhERsbh8OY35fGlikVDCaII1Q1MgCwhHriHDGlJOBUwlvSnpPf1t6EXAR+QLfCCDWLQhXwhHrnEXfnQ+qMHE92OoIVZkDU3kyDXu3EfwXyJg3GPu1gdplcNbqa8GslQSiJeWoGeYoVZAXLR8PXERJ3HH+WF5/NZv/J3++sl/lAldyhKRr7ZlFmWc6oI8/4/xejAETJU2FY0qGPVmx57J6I8Pxgdl2AaLB0T/sGwsY1T4SAyn+Ksb9V/pfoxPfqM/3Kzf+PeW/lK6pwDkp55v0iSWBArUqoFcN6plXaBRpsYYftcR7c/001/8Yp1oqrA8kxqOelY9P+8it5J179GLL1ZxKG9yoTJDeZg8r8Zs9FcFTH9j108jnTlC/HIiduHChcoypoY79+W3Op44MStnRcQYegr2qmwphykrsUpuch+YvQGM+pIH91hqxJBWGUarNJsTMRZEyYkXZBlrF0ekRMRylLBInftmImhpBeoSEcqJF/7wrzAlIpYTL4XJrV88i/XvYWn89xNRp7/5jg/lpU3lP/IgdeCqZQnlT95ZtKzMQpdlisBgCBgVdaxkeDyRm2VESo0sNbAIq7jUECvFjz9J6b71T8mV8V9M5PtIfz9MHRUiUlpaWgSGNK3GFwUqQuNZbhqOWN3o+pdbfvLrFePVM/GMaujr2fXcRKl31DuLOGEJUZ6nsU+ahRiThxGVDfgRKahu1H9j1w/BhchHciUiJpzye3wnfrizTxhYq8NLYSLx0jfRd5Kfrsd8NcSu8QwhHMN5o8ULjGQ9BFfKmGhdFBEjzLfrOXvkE1kp+ZbkkWjFFBFrWuhEC1+oUScicOPedG8wSNas4ZeWrMd/HkZEjDCyeOVhmvDO47L+KYbG3+mP7R22mf8oE6L1vE1ZcixZ17uUWV0W+moqMw66+2AIGECqYqZykZVKjdtFREpEaRdWsEVEzfq3b4U0/s9NflP3bIs07NwK1kC2ug4HE4miDJCli0Y9Pxr4cuN98av3xb8woMJ4jjlJSVRWqOzYpvXrMOgHMzDFasKP80i2qJxl8dI3oeKlcc+Pc74TcxGxcFEeU8ly5FrEC0uOCBk615J6zsFacQwosBolkXjlHQVc50SMVyDMt9JQTwgX3yEK1zkRY0GVRZITIfwuI1FdwjQ9Q5e4uoSx/jICXbDsEqasfT+px5/TX21xrjs+cuzWxV9lQiRei8qSn6cyR7JqmaWyTuHHfBwUAVvUuLYVZnhWmBJRlqWBTCVCrQZx6fvGzFe6L3Lt719//0R+REjo0d65FayBfOk7dhmOGEmMCv1VrF/oFiYsTKAGP2kHUZokPZLGchm7/ohHiYixQlZOvIQ3YTkXEWMrBPBncRZ9h40SLxQeMvLFK7GKaNOwTfbUIy3Lukgahojhfy5MwkXE+caNG43DSWcrIKJ4gahRdyHNmWeTXK6XSZcwTXF2iatLGOsvI9AFyy5hytr3iJjT3/bzH2VC01DzfWXJzZvl8id9SHWwLSqzZntANn34EbkPioCBuxrtpcb9ooa8Guq2QtkKJcsH6WUbcwEXEcVtpj+WnkYgKfRUISIPsgpByORGwxi/NMr4IWo4R/JW3Wjzt4R8zaJo6y8F2JT1KxI3LHFKA7uyfh1U/fpmpA9Irwh9JGIsWy6Ll9IP4UhnSmtci4ixGThLDefES3OcRCQIs7IcQvKVY6BGjKyH3IfMyrpYwk9hToQ5fCJjcV5frkvX1aqGn6b8+KVclh+Z49W0WEcpNHGz2h+6crH+KTbGP08ZzddOf5vLfxHlUrkht5dSZ9Ci8meVMivqHOv54AgYjVvmbiBUOoh6snWNGxU8ot5tzkXQoj+FldmzFD9hJaX7iiPGa/3GnzSzq/RHTqAQlLA3E6I5UZyrcRz90ZBGNMQAoiC36K/ytOhvBVJFNNOcuyjC6T09A88kEqNn1XPiU/70jrjp3YVF9PdSPURCeZYyhbydi+Idq37hAZECz9KqefSORtzxiz/mJPHjPCdibyZ3lZsiXpovEPOM9Lc6HnLyJRKlRgydRyxPj5ULMksaJj1HIpaHwc+j5JfebA0NJY3HIaQlrNns9+P0u/XxciIQF9dYtmodukS8iBsd6MrF+o2/019/+Y/8mJcT1MeUIZQlDE1/tWX5Q1lFmUXZpQ7wWGbleX/M118Z2stToVDJ8OFEctSbLWLGM4tQyWKGm/zJjYo/91eKn7CS0n3Fa/3fFUz7cOWGcDL+0/HRm0p/99PcDiQSEpEUWcK4r0awGstYMzThXm4UsvwoXLFstJJU8HaR91oE4hl4Fj0X78izQgZ4dt6B+7hxzTvquXl3/IGFsOFIXPg7nZ77lbosoUxRYzU+1tj1CwvNHwJP/cAX3MEfAVPuRSsZ7uANEeOewuD+xQsvTP76e9+b66SgbFD5gJ/Wkr7fYRY6D0VMqfvASB2KvDdklvTLD3cRMWFC3UT5K9KbPFTpn++n78Z3gojxjfjeUdjL6+iTUxJAQ5jf06nv5nT6Ha1bCRAv3FkcA2FeDsLiABCxWZgTU3eIl4jV1GUvTl3raP3G3+mvv/zH6AfKb4TyPpbjuLHlBeuJty5/kl/KKX6US5RtKrMo29RWJO4xS120DgcCVTqxklbFpI9Gw1Zu8kfC4ANTEakSin7U+12KP7596b7isf7XK6iM/w7TX0rPKhjVaKIBLDcaWEgkMCIjNLwQClM1oktzqypPTX9Jf5NAXugdkxTPCb+k8czz0YDn2ehpUwXAO/IOvDfvJHLFu3LOu+OHn4gCfmlkyi0VCFVjlqXPyduUE7mMXT94gDnYxQa7sOU7g3kkXvomhOUe346jiBjfB8L8w2QdYycryml+KocJ11oa0g8ddPS0SprOdX/Tx03rLxEvnplOROo1sMuJGPepl1TncU35TF1I5wPpn28avyt+coFksRQ8hEukSUSMjZMhWZF4xc2Xq+GDiYBFIgY5Y2NZSU7m5K6j9Rt/p7/+8h/5UPUuZUWUt1Ld+d1Upqxc/oRFsah7KafUlo7xj/n8yKVLl/ZqsB6QuHbt2kwrjSNMlVREVCIIH43GExWQGk98TD4kFbpIERUQlQ7mT84Jj/kUoVFA4inFX3mo/0r3rd/495b+UpqHgJB+adBCThD1VkEcaAgjmuehVexoLDM0DGGBBApXGsj44xy3mTQ0cGm8bUyW6OBZeeY2z98WC/K/KpPnPvqo2itQ5cPsvep3HLv+GR71Cd9ClhPdA/dIvOSuYyRiciON8g2OponbRVmWxprSTTGyw+WoBgvzSpFlJFYdY2rkzAhdWuCjUT66UbxVsl5BqiLxygNGIqZ7y4iX/OVH698jwsLG+Dv9bTz/PbPXgap0piPl/4uPHlX1Jm6dy5/UXm+SG9890nRrJ+5P/dNTk//yV3+1E10lJYOaA2br0zShktAlqkxFNFXJcl/+II62/h0y62fdMMUKgYho0TCWm8gFDV9+NJD5IRSeCA1gCBeykvVrWcO4inGFvyXx8ZyInlG9cbjpXfR+el/uCQMwARtEWAkn3H71xLSoUxmDW5Sx68dapdUOwQX8wRGiDjYQY5Fj7oM134qfcOf7yB9hCEscVfpL359yitURNSyceBbKSMkXZT0dhnT8QL7ofESoC+hUIA2rgxJ3znHjnuoLwhCWOOh8UB7CfxuRRep8ypaQqGrT5aemK9M1hdcKePglDGGxamgIY1O4krv1T7Ez/k5/u85/lBV0SLK1xUbKn1SWqf1ayutjdhsMAROJoNdOjSQ+mhKAhliogoF8UEkh0T/Xi0hKjB+/Euvfm3sX8TT+0wbQTtNf3WNNQUjjVsSDtKqGFA3cnFiJeBBG5EMERaSFMHJT2t93XEKW9vlv67AgXp6JZ9NzEqWes0Su2hA1cBBexKUl0snruYxdP/PoIGFYSGVNBSO+CelKxB5MwZ4Kmu/Cj/OciM2IV4qDb0qcbNYM+WpFwEZIvkrEC4st6RUruDrcIhHLiRd+8EsYwoqI0ZjiOyk/5Om/6VpECHLVVvDblXjlOqx/iqXxz1NG87XTX7f8R9lAGUH58UIq5yk7NlX+VB1BJmL7Eu1gCFgkVnpKuUX2LDdVRiJOJJZFjeQ8nHToWLovN+ufzv0CK2Fi/KdWyk2nP1lqwFokSsQquomciLAsI2lqeMnSQ1xFWUCSiv5XdVwQv55Nz0rjP3fTe+q9US8shBduwiy6Edd76Z7SMP6i5LrGpJ+VDrGgiATnRCwnXuAGXsKsRMREvEToiJsl6pfuAzNC8oVlMFq81PBRnUZnI/VQTsSUlkW8ROL4PoSNRIxGFeGxdFqMgBEwAkKAMoGygXL+1UC8Nln+yCJPWWeZIjCYRTi04qGsLzye3JQI5Ia7rF9YtLgWIZAfPnbuxr0YP9cS6Yr35Wb9LwmmCmvjv530xybGIhMArtX+ZH2QG8uu05hFOOIvhuM+BWnuhv/oxvWcLCBHc/7WvUBPoZHNs9Foj8vK48a7RDfIFSQtYgCB0MqQPB6YiRzocRX/3/3613KaO+p+1DU2/bwv2EKoRKDAknMJuOJP+McwhOMXw+BPYao4Gr5/da+QLqT3MB9V11Bnxfomf2cRMfxF8qX6MPfPNfFBxPhdTcMYm9J/KazdjIAROPwIqM775O23J9dTedEk65Y/lFkq65p0jMl9UItwjAl4v6sRmENgV+RnTml9QaO3D/196RUG1r/wu4uIQYARkSgRL8GoI/4UBrd9xEsedczx59qyGwSU3xsW4djNQ1iLETACvSIQF+Hoofwd+yIcg7GA9ZoIrdwI9ImAGkN9PUNf+vvSK5ytX0gUj1i2+DE3DItWE/FSYO5jnSQMFjNZcHV/3zHi30Plv+95xuSQk98xvbvf1QgYgXkEXP7O47GjKxOwHQFtNUagiEBshBY9bNnRPeBbBvjgR3+SV/hj+/dgcGwV5qMWYeiBXVL5x32wWsRYLcJU7YNV70PTJkxvflrk/7YEWO+AJbIVAVYAH42AERg3AgvKoW2WPxcmqfzvUf5p8k89ap9MTMB6hd/KR4/AksbnVvFZUOhuVa8jNwIRAdJhIR+woARzBpjPizDviV/TfCetfqu5UbN9sBbsQxMfo5dz3rshH2o459aGgPbywlZqBIzAQUBgJ+VPodzfJTb/5fLlXarbp2swqyDuezI7GAEjsD0EGhp921PomI3AAgRCetRKfnFVQEJCrDrtgzX05Y+zRggNHy0HDfli+CdSWmkSd/zErQFwIwzurGzWZfl54rAYASMwPgR2Vv5k5d74kJ5MvAjHGL+633ncCITG7sRDEMedFvp++zAJnIr/xUePZhYvthaBjLGKX27d4rGxhiGyeHEerWSs+seqtgxHRIZuEbuf5s9BsmTxgkQxp05kSj3S1cukP63ySRhJXCiFYYgQM61gWVwUxflf0PloBMaHQFb+7qz8GQj5utyzBcwEbHxZzm88ZgQi+QIHN8DGnBr6f/e6AcA+NMw1QNiHRsQrf8ASEcNPJF55mJyIsQzy0r3I8ki2fM3eOMx1gypG4pWrhZzlRAw/kXjlYXIixuIobNtQifN/DpevjcB4ECiUv9suf64OqPztm4B5Dth4sprfdOwI5ORr7Hj4/QeDgPahYQXF648fs3lV9WwiXJAmLGFt9qGBcEFmNF8s7oOFtWyI+9DomR4lq9652rIHACJc4EPDKK40CRFDwCyuUAnhYk88uRPu3LlzlSWMMMK6Cuw/I2AERo+AygTKDMoLyabLn//w538+yPJX77vr46AsYPR6arjIpoBYpafT+o3/oU1/TeTLPeCbKmocTxcEwhCYGJyK/6+/97254YVxSGL0q/Pc0oX7IsuYwunYd/mv5+D4xQsv7LN0LeqZJkxu6cJtkWWM+7aAVyj4zwiME4EF5W9uaV+7/Fky7LCP8tcWsJDsafzSc9mXWL/xP5Tpr4l89ZXRrNcINCCgHlfmIvzw1q3JG8kf1iHIFeXzyy+/nBYNnB+imBMv5nph9SIvY/Hi14aI9V3+A4ksfm+kd5/OXEtL+qchg5Arfrdv3943RDEnXljDaCwxpBMc+S0lYg3fw85GwAiMB4FY/uqtN1H+/DxZ9X/04YeNK9iiawjlr955V8dBWcCoSLXk8LoAMKYeecxwlpZi/cb/0KW/C0v22agtYF98mXrd/5TmnxxrmVmSt4efT/2uGubok5PJ0Wzws/WPFP+6B7ZU8c9Iw82bVUKjhxQypTwKEUOouJF8kY0ZmUlhJIuIWJ/lf9Oz/u0vfzkbXqgeabBCNFQIAobki2wsxDSRtEqc/ysYXP6MtPyZ5oLJaL9/m/K3Liu6lj/fDosEDa38tQWszgCbOqj3c1PxrRqP9U97n1fFbVP+jf8e/upBb4Pt3d9PJr/7Y2rUpXbZma8vJmIQL/w/nLYDVw5z8quTydlT809l/SPHP63Wp0U4ZsRLJAGilUgWKxryExFrIl5KWfl8MVnDIHCrDE1XfG2OXcsfltyX9X1fI6UmmszP4KeGUBPx0nPm88VkDYOYzRbhqD07/408/7n8H3f9t6j8rcuITuVPmnP6QbJ8qexVB9rQyl+Vmbs+DsoCppWg1gGB4Sp83CNHjlTRrGIBs/7pSlzGvzsCQ0l/N+r0f6GlBawNqcr9YMlCsJwhJfKWhyn5IWwbf7kf6we5A45/3QMLmYgLR0zfbDqvCcKBted0aiREgYghkLIomksAkWEookRWJvJodNf9Pst/rG8QMJ45bjSNO42W/3rjRkW+9KwcwQWhYRQFd/DEXVYy7ssipgU9qjC1BSzPW6V8mvtx/pui7vJvikObNFPyQ+g8bZX85X6c/jaQ/lYpfwvlDE/QVP588vbbc+XsEMtfW8Cmaaj615CS4LTSqXoQVwoUPFv/dEhPgGSlU+O/3vzFjaW/usd8lY/HMMJzT81XhLd/OyVVp9OiSPfTKCdZvKj4nk5up09MNdz/LG0SW99vClOqUOPzWf/I8U8EK5IFCETcw6qaz3Ts2OR//s3fzAhXiXiph5W0RXlEnoKQQbhkEYvpLp5vLP/FSFue83yRFEK8eD9Z+ShZboa5XERbavhg5dIQRTADU+0lJotY6ZGc/0ae/1z+j7v+a1P+rlD+VC3JbL7ukMvfUpm4C7dsJsYuVDbrUCXZ7KN8R8M+ZPUq+1ruav3TRspypOZ9GP/psL8hpL+f/uIXaXxfvcfP/GdqdVVqiN2Zbs80yYmXIoSI8YtETGGWES/FoaP1728ICssx4J8Tr8ryVQ+7496/TkP1nqsX1RAB05DEODeMe7KElRbuUHqLx77Lf54lJ16QQr3LC2kY5nsffDC3qAZhNCRRxCvHrLRwB+FK4vw37vzn7z/u77+s/P2gRfnDPo5vHtDyt1QmbtNtUASM3ssuVpSmISWrAmf9xv8gp79V5nwtyxuxIsb6BZGSxaspbCRiWMuwnBFPF7H+vYbAGPAvVfyy3JB+tBIXVrG/T3O4vpuIGOU1EomXrF24Uy9EQrOMiPVZ/sfn5Nmj5S6+y6upYfOzRMTUEOJeJF5NmIFvVyI2hvQHjlFc/oyr/InfnvOxff9Vyl/8NpU/f3jnncn1etj3QSp/8++/q+tBEbBVh4AwplRDNDYBmPWvNgTR+A8o/XUYdtgmz1ARnV2RRC0jam30yo/1jwN/zVuKQ+aUBnTknjYUfj8Rse8kIobkZEX+OWLVgtxEggPRwj2XPst/nom6rO27fO0HP6jmefEObTHTkE6wzhfhyLHQtfPfOPKfvnd+9Pcfx/dftfxVWUJ6mZU/77+fJ58DU/7ue/AdOQyKgGlISdt3x1qh5ebbhlnkz/rnJ7Mvwop7xn8Y6W/dYYd8y7ufTlcBi3O7cG8STYjm/rJVExWHhiiyCuKZb8h1erT+ceOP5aZp0Yh8HysRsc9ST+z/unZtjkxpojeEJq4mGIkYQ6ZL0mf5f/Xq1ep5IzFc9C6Tzz6bPPzOd6rXAA+JFtpowozea+aC5eL8N+785+8/7u/fpfylLEGq8id1HiGLyix1hA2x/K0evoe/QRGwHt7fKo3AgUZgk8MOWc3rg7QcMQtqNBExES8tyAF4WnijiYiJeGm1sCbArX+8+EMKRAwiiVBa0RLqcYl6Kv6X0qqByXQ0V/ErDCSsRMR0f0hHJqhr9cPYiNEzlt7lOD3OteV7FcwUZ350/htv/iMt+PuP9/t3LX+rMuQQlL95WbiraxOwXSFtPUZgwwh8/yc/mdzZUJxYpE4ly5T298qJWE68tLgG6hUmJ2I58VIYhrXkYv3jxp/0UCIREC6WTWeJepGwaN35P//hHyZvpHlREBQJli/mH2ChF3HJiZj8DulYIl7L3iW95OTRiy9W2OhdlmEmoiv/HJ3/xp3//P3H/f0pA8Ze/oLBrsUEbNeIW58R2AQCW5jzBTHKl6KHiPGTlEhUHgYiFqUUJt7XufWPF3+WTL9zZ687IVq6SB9YuxiiqBX/IGHfTr/J888r+cwNOcSR4XwQmEjCOGefSAjakCQfzh2HTy56F70DlvA2mIEb879Y1CQX57/x5j/Sgr//eL//2MvfvCzc1fUTu1JkPUbACGwIgS2Qr/hkqojPfTNVyvV0EY5cQ7a4n0uXMHkcuu4SV5cw0pcfu8TVJUyuV9dd4uoSRvryY5e4uoSJerFwIZCI8+fPV3tX5ZYarpmrwP2fM/SwFsgKq3KxAqKG8eme9p7hPv4QyM7QRM+06rvwHoT5Vno/sFmEGdgiwrq6KPx1+ZZdwhRUV05d4uoSxvrLCHTBskuYsvY9Iuj6Z3f1r8qEsZa/TWlx2+62gG0bYcdvBDaJwJbJV3xUVarRbdl5lzBNcXaJq0sY6y8j0AXLLmHQXlqVLy6NjAUMgsHx6M2bk9dTGAhXLnG1w7iioIhYKUweRx/XWOVyWfld0lwMFubQCmVzmNXkFQzbSpdv2SVM0/N0iatLGOsvI9AFyy5hytr3iFjT/ZK79U87SUvYLHIbe/m7CJtt3rMFbJvoOm4jsEkEtki+qjlen6Zx4F+2f2DmePFrK8TNalvoysX6p9iMFf+YHiBe7FnFTyttye2lI0eqJeWjf84hKww5ZK8vbU3CkWutgJiHGep1l3dRmBMFzCKOTe/s/Dfu/OfvP+7vH8sFlbWx3JDbGMrfiMW2z20B2zbCjt8IbAKBLZIvHo/NVn/3x7ACYlrZ+mhD6ZAvrrFo1UTihlQQP/6q67TaYr63mPWPG3/SBZW8rDdcM5xO85q4929OnKjIVdxQGX8sHy/SFa1eWLuY8yUiFu8RbmgSLV48G8s1M7yQ94v3lr3/o/TerA6p+XJqPEWLWP7uzn/jzn/+/uP+/pQHYy9/8zJxF9cNTaxdqLYOI2AEWiGwZfLFM7CE/NEnpyQJojQjVYGI5cRL88NYkp6FOmZhTkzfKideuFbL26c4c7H+ceMP8WKBCCQSL6UTlly/ni5yIqL7JXIFceGXEzFIzdCGIvKckEUkEi+9n6x4rd8/Wf9Op3IjLlwiIgapzYciOv+NO//5+4/7+4+9/FU5u+vjkUuXLj3etdKo71raSNNiBIxAAwLbJl8f3ZhTXCJNbJwMydI+XvmqhtXwlUTAtDcYRA4/WNQkIl5NVjX5s/55ayG4HGr8n7lQfXoaAKzEJYuX0gPHt65cSdtdfXdugQ0REe5DpiAoEpZzx+qVr3QoIob7EAkYC3HI4qV34Yh75/cP5YcsYqyAOCNgzv8R6n3Wem4e6vw39/b7Ryv4/Q/59x95+Xv58uUsB+z20gRst3hbmxFoj0BoPLUPtKLPrAGm0CUilBMv+dUxJ2K4tyVeikNH699PxA4l/nUDQN89HiEMLz56NLl3717lDDnhl690qDD5PlolS5L8HoSjCOPa719Y4GP2/s7/MyjiicufkZQ/8aOH89F8/5GXvyZgtoCFbO9TI1AjsAvyhaqGBpi+gyoiNmlmhak2AhF7kKxfp8PwxTbhSn6sf9oQOrT4FxoAstS88EUyuybB+qM5XlznRCwnXnmYg0bEcuK1iff/1RNPVMMRwWZOnP/n4MgvXP4c8vIn/+DZ9aH//iMvf03ATMCyLO/L0SOwK/IF0EsaYKP/FgZguwiEBoCI1xeJeH03aYV4QEYYXlgiWRAxRHOnOI/kTMMURd6GTsRKxGuT738zLGoCVpU4/wsJH43A+BAYeflrAmYCNr5M7zduRmCX5IuncAOs+Vv4zvYRqBsAd+7cqeaAofDVQLzyBygRMfxE4pWHyYkYc8BK+27l4XZ5ffHixdkG0ZF45s+w7vu/lyJkDths3x/n/xxiXxuB8SAw8vLXBMwEbDyZ3W+6GIFdky+exg2wxd/Ed7eLQN0AYAGOBw8eTD55++25BTWalIuIcB/y1TQvLIaHiGEtg4DlC3REf32cs9CGFuGIC4o0Pcs67/93v/51RcKquJ3/myC2uxE4/AiMvPw1ATMBO/yZ3G+4HIE+yBdP5QbY8m9jH9tDoG4AVArSyoWWHSGg8sb5f0eAW40RGCACIy9/+yZgTwwwSfiRjMC4EFBjaFxv7bc1AnsImHztYbGLM+O9C5StwwgcDARcHvTynbwRcy+wW6kRqBEw+XJSMAKsuNGIAsMTjx8/Xm3Q3Ogp3GARDzYdZq5TK+mz8bHgvVs9+7qeYg/4unE5vBEwAgcPgT7Lv4OH1kaf2ARso3A6MiNgBIyAEdgEAnFVROLTJs1H02p+JYF4KQz38acwJf+VmxsfjdD4hhEwAiNAgE4gl4O9fGgPQewFdis1AkbACBiBEgKQqFu3bk0++OCDCaQK6xfy8ccfV+53796t3BUWP7gRBj8IYXAnDtyJc5+40TGFJOGAlZGVKKOAKb8ocbVK3MEYNyyOEs5x456kFL/u0fgr3bd+47+T9DdLiCM7ieVf35b4kUGv1zUBExI+GgEjYASMQG8IlIjXuXPnJvzOnz9fWbN4uEjEaKBF4oXFC78K10jEYuOjtzcejuL/+Bd/UZGgSFQhRWAdyZWIksgVR9xiQ5nVLHGLcZXc4ttbv/HP0wzXu0p/MS2O4rxU/pmE7fzTm4DtHHIrNAJGwAgYgYgAFpNo8YoECn8MJzxz5sw+IiaLl4gXfjREEfIV44EsoOPi889H1T5PCLCUP7PwhCeggCkSyZXcRK7AmB8kTUTt9OnTVTjiElGLbtXN7M/6jX+f6S9Ljof7skS+9MYmYUJiJ0cTsJ3AbCVGwAgYASPQhMCpU6eqRTMiYcIvDXgIgBr3ORErES/8EkaN/0jErg5wD7AmTHbpzt5jbAD9QsJb5ArSBN7LyBWkFxFRI0wTUeObKP74ftZv/PtMfzEtHurzReRLL24SJiS2fhzUIhyvv/56Gg7+3kZf+s0332wdn/Ub/z7THw0TNTRbJ9olHs+ePbvEh28bgf4RYMXCuGqhGuqyyHCESNHY5ygiFp9cxEt5iDAQARGJ4++/P1lUG/Rd/ved/3n/l19+efLio0eTD2tgwQ+rIeQKcixyBbY8r75HtIJxDub44Sf88Xv79u2ZW/x2nFu/8e8z/fWd/7auf0nbek5/6hD7yfe/n2fRla8PUvt75ZfbQIBBETAav2+99dYGXqtbFNZv/PtMfzQcGfduMQJjRSAnXuAAMSNv8KMBH4kY93HPrWT40RwSSMDP0xC7H3344eS5554jSFH6Lv/7zv+yQoHD6wmv11LnpYiU8F9GrtoSNRp7xB3F+qdWMOPfT/rrO/9tVf8S8kU+zPVfSW1xhoXuSvouf3f1nlHPkUuXLj2ODrs+v3bt2kzl9evXJ/fu3Ztdr3Ny8eLFKvjjx+1fz/qN/87TXzD3UwBq2NQ6aZ+wzKlBLly4UB0b/z66Ud364ss03OtPafW4Y40+9914+PnUadUwR59Mc3qyrh/rHyn+9T5UJeIVrVekNBrtkCnlEcgAQr5BZJ1Rw15xfjuFkTDXiF+JiPVS/ved/wEmNM7AACvEs88+O/kwEVb2ZwN3rGDgjRUMgWjxLfhGGoIIOeZb4Ae/4M8CKQgLo/B9uI8/znGrxPqnOKR/499D+qvR76X+nX35aTmmsi04dzqdq/9D/toXWYvy5xc//em+YMscDkr7+/Lly8teZav3D90cMCqOV9I4/77E+o1/n+mPhk0cytU2H9z9/WRy+7fp9y+pIqiJVVNY7uOv8t8hDLpysf6R41836EkXNOppnNOwJz1LIFa4P58W0VBjnkYT57hxT+SLMLifqckDpAt54403JleuXKnOt/HXd/nPO3fJ/8JCVig6oqrRAKnxJkzBWsKcPQQSJpE/CBsSn0VuEDORs5K13/qnVjDj30/6U1rueoxpvmsc64Tbp38R+Wqp6Ps/+UlLn5Oq46bP9k/f5W9roGqPWT/0qsE365/Kcd0hYHx8CvEuYv3Gv8/0RyOl1ChZJS3T+Ooy7+t0MiZgAXv4xZQIHE/t3jNfn7eIQbwgSvhBsGQhq4QhXnTlYv0jx79e8IFGPI0ICY1+8gWNdjXwOfJTo17uCoM74T55++0JNQHWLuYXQcIo45saCH2X/33mf2GH1YuhQAiLIiDXE2ZPJKsY30DCsvIIZFmi7xH9ibSJsNHDL7foT3FYv/HvK/31nf82rZ/c237813SEQVP74/k0omxaGiinlo8Huf1dfqPtug6KgKnA7/rK6zaerb9NFmv+Osb/rWZwWtwpNUhaBJt5aSo8Zx4WnDCM8NxTU+uXSBYWLhGm+6nzOxKvp1Nb7PSJaYT3P0s94fX9pjAlQhcfx/pHjn9tGVGaoJEe53WRtjXkTYRLR4WhAaMhilVJlkgDZTrki045ETH5z499l/995n9hAQlF4jDN1157bfJecvusXu0QEiXLl74B34sf5FlufA/88l56N9wQiFsk2pVj+rN+409a6CP9KY0qLa56XKf+Rdcm9XdpyS3T/4/pGRctzHHQ23+rfu9N+B8UAVMlueqLYXYk7JEjR1YNOuff+qeNlDlQWlwY/82kvxMnTkyOHVthElb9bWjIUHjeuHGjxdda7KVEhO7U64Jg8YrESzFBxPhFIqYwy4iX4tDR+vcTMWE5Bvxz4kW6pkFPw517zEXKiVgkXqSjVxPpejORBogXvenMaYpETGktP/Zd/ved/7E+RQIEPsxJAkPwO57O08nM8hhJFGQZiRYxkTTNESsRtypQ/Wf9xr/P9Nd3/tuYfizYHdrCbfT/3a9/PcnnhB2W9l8si3Z1PigCRubrwqLXMXtGoK3f+PeZ/mhIdulF6zrsMKb9/DwSIaxflSWstnjlfnUdiRjWMoYVEk8Xsf49IjYG/EvEi4a7emVJ49GPiBhpi4Y9gt8/vPPO5Ho9BJ16AQJRWXBaELG+y/++839s/GqRErBDILPIh2lltI/rjaxl6eK78NuW9Qu91m/8t53++s5/m9CPhepNgOogbfXnwxEPS/u7A2RrBxkUAVt1CEgcL742EikC61/NcG3898brbyL9qbHZNi4anjR8tikQobMrkigNTdzEc1n/OPCn8ictkwci8YppiHussIe/ODxxFibt85ULVi1IWCRiEA3cc+m7/O8z/y+zPgkvsGOQ3G/CEMJdWL+sf5pejf920h9lQZ/5bxP6ab2ts/zcKu/PcMR//2d/NpsvyvOvK32Xv+s+f5fwgyJg6m1r+yJYK7TcZdswi/xZ/7S3cxFG8Z7x32z6U49yxHjROdYyLTe7yF+be3c/nUx+98fyEMNSeC3Iwb18sY6Sf9w0RPHkV1OYb8z7sv5x4w/pIv3HRgAdDBCzOORQw21FxEhFVRiG3SQRkaChyjwSzSWJRIwhMyXpu/zvM/+DFyK8OBcesj7hJn9P/OpXqbX3SkWGd2X9sn7jv630R9rqM/+trb/jsEP0SlZ9//+eFuKZroWqGNY7qrxpG8um259t9W7S36AI2CZfzHEZASOwGgKsgvhBWuWQBTVKc72ITcRLC3LgpoU3moiYiBfxLxLrHy/+ECt+SCReSi+QsBIRq+6nxkckXgpDY41fTsR038c1EaDR953vrBnJGsGt3/j3mf7WSLqbDLrOsMN1n4Nur6vrRjLi8IduH7ARf0u/uhHojAAWqXPfTNaE1AYWEbp1f2q1ItK49xfkC3/4Vxjcqn3B/mXqlzAQL+KA1BGnwuTWL/xa/x6WY8SfNADxYjgbm/dqAQcWdcDapcUdcOc+/vDPnCR6TtkHTL3jEK533323Il7Eizv38QdRs+xHAMwQsBJGsnzFnunoD//H07BPLJAizbjRkw6ZxjLGT24c+X74zSXGa/3TNGr8p/PedpH+8vR4UK4Zdtin9K2/z3ffhG4TsE2g6DiMwCFAQAtfiFSJCNy4NyVXc8QrLVmP/zyMiBhhcuLFMvf4b5I8LuufYjgG/BlOmxMvbcZMA58hilxHInYsEbGceLE4Bw1Xhhxy5Do27vHfZaGdpjR7WNxZdCPixHuBIfMyWAWROXRI9COixMIniEgz5/pOmh8GIZMbw0pzsX7jH9MW6WOX6S9PjwfhOl+NcNfP3Lf+Xb/vNvSZgG0DVcdpBA4wAjkR4lVkvWoiUV3CNEHUJa4uYay/jEAXLLuEidrjxr4iXhqSKH9ci4j9vLbYcI+Gm4iXVu9TGK5zImYCJnTmj7EBLHKVW2GaiNKriajtwgpm/WWiZvzXT3/zuWHgVwy/7VP61t/nu29QtwnYBsF0VEbgMCGgRvWFtGZBE/HK37dLmDwOXXeJq0sY6cuPXeLqEibXq+sucXUJI335sUtcXcKg9+zZs5MLFy5UBEvEi+Frt2/frva346jhbEdv3qxI1ePHjyf8IAkiXlhq6DlnT0iOstyIiOH/zTffzF/V1wmBJnLTxgrGN2A4Ul9WMOs3/uumvwNTCPRNfvrWf2A+1PIHNQFbjpF9GIFDj0C1uManaR7Ol+1flTle/NoKcbPaIbpysf4pNmPFP6YHEa9IuuT2UiJWIlUxjIgXmy4zZA7RJsyRiMUwPt+PwDpWMIjaC/XKlcS8rblgi4ii9U9XDjX+3dLf/hwxMJe+yU/f+gf2OdZ9HBOwdRF0eCNwCBBgs19WP7z18XIiEBfXYJ5XXKyjBIWIF3GjA125WP+48Sc9iGSJeGEJY84WljEW4mCYVU6qcuIFCWABDixdV69enbDkfB4mT3u+3kMAcgOGiIgsBDZec87mq4gWPuFciyX8p/S9JNpWQENM+aZyk0VTfjlav/HvM/3FtDi4877JT9/6B/dB1n+gr6wfhWMwAkbgoCPAEvJHn5ySAEjSbCn648m9LiUgXrizOAbCvDCEhTcgYrMwJ6buEC8Rq6lLvbx9ijMX6x83/izWoOFrNNJZsCHuS8NqeywDAeGioS9SpXREo41haCILuOOPH+4QBYXByoObZT8C4AtOEFeRLGGlhjGhNI9OFjPc5K9yS6TtixdemLC4CqJvCenixzc+efJkdS/+Wb/x7zP9xbQ4qPO+yU/f+gf1MTb3MEcuXbr0eHPRrR7TtWvXVg/kEEbgsCBQ9zb39jof3ZhTXSJNbJwMyYrEK+75VQ0fTAQMPwhEDnLGxs6Sal+xQObknh+tfz9pPdT4PzO1lkDAaKznxIv08daVK5VVBuuIRESMaxr+kXixgASNOBEIhcEfRAx3kQXd6+3Yd/7nxUPjChzBDuuhLFrgfu/evcqyyH3wxTKJsPgJ9/keDP+EpHGOEP6HCW++KYunILJuEl6kzPqnQ2bBx/j3kP4AfsgS8ufGH7NN+bNN/Rt/odUivHz58moBNuzbFrANA+rojMBBRgBrF3tynU5kSdYrESlIVSReek8tvBCJmMK0JV6Ky/rHiT8NdDXSlRZYrvzFR48m9y5erJywrPCjwU9DVQ19+YcYQLA0LA4rDv5FJDjqXGF83EMAPGV9EE4QVcgXxArMEeGrb4Fb9M/17Fuk88/TvmBItH7NyFd1Z/pn/ca/z/QXkuJwTvsmP33rH86X2MqTeA7YVmB1pEbgYCMgInT+6emwwWrT5afa7+MF8SIsZE5DGFdBxPqn2I0Rf4gXe4J9K1lX1Pgn7dDwx3JCY58GvoRz3LgncgBhIOyVZD2DsA3G4qWHHuBRJApiJRGewk/EivvyJ+LURNJYtRLRnmDaD6xyDH/W/1qFhnDlwvi/UWGyi/RXKRrSX9/kp2/9Q/oWW3oWE7AtAetojcBhQEBECCtXW8FvV+KV67D+KZZjwF/Ei2FtrGZHg54FNWjglzZUpsGeEy8ar/glDGFNxPIcVb4WicJqKCK0rvULTSIT1xN51tyvXVm/rN/4t01/5VzRo2vf5Kdv/T1Cv0vVJmC7RNu6jIARMAJGYB8Cd+7cqYgTm/m+GoiXhr3JipUTMVkIRLwgDfhFNEwxJ2IX6yGN+x5ixA4RR8EgN1kfcJfbrGFbD1tssn7pWxCOtRWbrF95vFGX9e8tGJPjJOJs/BcPkV2W/khvg5G+yU/f+gfzIbb/IJ4Dtn2MrcEIGAEjYAQWIHDq1Knq7idvvz25Xs81KnkXEYMAxMaoGvqlMCJiNFYJky/OUQozNjdhIusX7y83kWC54S68tVqiCJn8MPwzd+PeaTbBTgQ7F+my/ukwRPARJsZ/OvdQmGwj/eXpsbfrvslP3/p7A74fxV4FsR/crdUITBEoNEZ2Ck22CuJOdVuZEahXQayAGGPl33f+B/g+cI/vbf27LweM/+4xX6ZxjPlgGSZbvt/3KogegrjlD+zojYARMAJGYAkCfTQ+ljySb28Rgb6/t/Vv8eO2iHrs+OcQGY8ckVFcewjiKD6zX9IIGAEjMGAEYo989pjsD3b8+PFq897sVvGSeWQs+FDa6LcYoO/GT/GhRuAI7gu++9YRsH7j32f6UwLvu/zpUz/496lf36CnowlYT8BbrREwAkbACDQjwKqIH3/88QRChWiT5qNH04Z0BcGfwnAbfwpT8D516rvy71t/IzA7utH3+1v/jj50g5ox4983+Ru7/oYkuUtnD0HcJdrWZQSMgBEwAgsRiMvRQ6qwfiGQMfYHYz8pkTLcOceNe/hBCIM7qybiTpz7pO/G374HsoMRMAJ9IPDWW29N8tVRWRAmLgrDc+EHvxL2xcONBX4knOMW9yrcF39GfvbdT5FZ/xbx18fq+WgC1vMHsHojYASMgBGYVCQJsgRpEvE6d+7chN/58+dnS5hHIpYTLyxe+FW4RiJm8uUkZwSMQI0ABIhf3PKAa1ZNjeRKREnkitU+cYtEjWuFFcByq+LPyBd+5u6HZ7L+LeCvjzKAownYAD6CH8EIGAEjMGYE4j5gkKZIoMCF4YRnzpzZR8Rk8RLxwo+GKObxyCJ28fnnxwy1390IGIEMAW2ZoK0tuC23SK7kJn9sEcAebO+lDh0RtehHRE1uf/njH2eap5e6r3itfzv4R3yLH2LHjiZgOwbc6oyAETACRmAeAfYBY9GMnHhpeCGLaiA5ESsRL/zGYYqRiF1Ne1hpf6X5J/CVETACY0VARAqLlqxgEC/2uVtGrqJ/8GOPvJxQEf/79bDo0nBo658S2W3iD1GO8Q8hrQ9qHzASMol9k/ImGz+2FOs3/jtPf2E4AgWzGpotk+xSb2fPnl3sx/uALcbHd7eLQNwHLGiCeJEfZOHiFkQKCxfHkoh4xTykRTgqq9iSusXlv8v/nZf/ISE7/fWb/rBgvfzyyxXpkuWKb3LlypXKyiULF8QMSwoki/sIBIq08+6771bnhH++trQzpPq51PFDuXT79u2qE4lh0jOpyyXr3yL+iRSX8O17H7BBEbB8guMsga5x8vjx49ahrX9+gmlr4BZ4NP5L0l8gYAzDYsntTcqFCxcWR2cCthgf390uAhkBKxEvLGM0XriH5EQsJ16QLfzEvPTz1FiiwUTvdJO4/Hf5z1ycTYrrvyX1XwC77/zHo4hIXb16dTavizIDy0kjuQqNe6wsOVH7TZqXSscRAgGjvIKcnT59unJLzG16TP/WPyWym8S/RJQVvwnYtWuzxEfCJaFvQsjMyCoFoPUb/52nv0DAYiNz3TwAmUPaErAvvkyryf0pNW6Ptdf88POp31XDHH0yDSXLNsCw/pHiXxOwEvGas16lpCaLWCRipEDyDQLxUhiuFee365URcaMybiJiLv9d/u+8/CdR1uL012/64zPwDTZpBfvn2gqGxYvyibJqnxUsEDDr3yz+c1bIQJQZWoqVsm8CdujmgAFsn2P8rd/495n+KORbb0Crmj8d7/4+9c79Nv3+JTVoa2IVbs+dch9/lf8OYdCVi/WPHP+0jLyGG5bmdZFe6DGmIUOlqsYMDRrOcePerFc5+cf9TBrGyBAgSBfC0CGGFG1LXP67/O+z/Hf6Wy/9xblYsoZqEY44PFXfOC7qIH9yY9ih6mLN+8Iyz4/OoWihV3lk/XtzwdbGPxGu/DuV8BX2fRyzfug+HmFPJwlXoO+5rnYG4IDcRazf+PeZ/iikS4XyKmmZAn/pvK9ChKfTtBosYA/TKC+I1fG01+2Zr89bxCBeECX8IFiykFXCEC+6crH+keOfyBWECQLFUQLBIl/QaBG54shPjRq5KwzuhPvk7bcn1AQMIWKuBiSMMl6Vsvzr6PLf5X+f5b/TX7/pj3IAq4iIFsMJEaxSiK45VzpRxw5umg9W+avDUg4hLDKEQLzkRpmWi/VvCP8aWH07lfk5vu+8807+CXZ6PSgCFhN4FxSUKbqEJYz1TwucrvgZ/7e6QleFKxXIq0S4DnljGOG5p6bWL5EsETHI0f1Uj0Ti9XRyO31i+nT3P0ub5Nb3m8KUCF18N+sfOf51z7DSBI0UVjJUY4W0jYUsDjEsES/80MipSrI0oZ4ynYYRnXIiYtKRH13+u/zP08Qq167/1qv/+s5/fGtIMBKHKcuyJYJFIz76wz8NfYgbFsjX6oXf6AiiLKJeV92uTiPKsdjRRBxIjFfzVa3/tQqb1vinRVIQ/DOkmHQlo0wJ38pzT3+DImCqJFfFgkRP2CNHjqwadM6/9U8bKXOgtLgw/ptJfydOnJgcO7bCJKz621CQU8DfuHGjxdda7KVEhO7U64Jg8YrESzFBxPhFIqYwy4iX4tDR+vcTMWE5Bvxz4kW6lrWLewwnzIkYjRoRL9LRq6nCfTNVwlTANIqY0xGJmNJafnT57/Jfjd48bSy6dv23mfqv7/y3iFgta8SLJP3qib1ZPZRJiBbggIzJLe88wp/1NxPbtvhHi6TI1iLiBu59yqAIGIB16UVaZ9hhBN/6jX+f6Y+GZBcrVtdhhzHt5+eRCGH9qoYO1hav3K+uIxHDWobljHi6iPXvEbEx4F8iXnHJedJ49CMiRtqiYYNA1v6QhpRcr4egUy/QM03jqA0Rc/nv8r/P8t/pr//0RznS1fp1sx5CTRx9WL/Grr+yPh4g6xfpZFAEDJa7isTxnKuEa/Jr/ca/KW2U3Ded/jRMoaSr5EbDk0bpNgUidHZFEqWhiZt4LusfB/40WEjL5IFIvGIa4h4bNUcixv1ZmPffj96rc3rVIWGRiNHQxT0Xl/8u//M0seh60+W/019/6W9d69N7KaEwrFAiS9eurF9j1w/uB836xTMPioDJjMuDtRF6q7TcfBv/y/xY/3Ts7DKcdN/4bzb9lYYlCOvSEWuZlpsv3V/F7e6nk8nv/lgeYliKRwtycC9frKPkHzcNUTz51RTmG/O+rH/c+NNQIf3HTgg6GDS8UHO/NNxWRIxUVIWpl3JWQwqSRYWs3uxIxOgpLYnLf5f/pXTR5Ob6b7P1X5/5j/ICUXnBuZ5HQ9hwi/64pmPnZ6nsoVxS/b0t65f1l/Gfzb07YNYvvuegCBgPZDECRqAfBFgF8YO0yiELapTmevFUIl5akAM3LbzRRMREvIh/kVj/ePGnAcMPicRL6YUeZX45EavupwZQJF4KQ2OpRMR030cjYAQONgJYfq72+Ar/6vLlyW3r7w0B8D/Isjdj8CC/hZ/dCBiBtRDAInXum8makNrAIkK37k+tVkQc9/6CfOEP/wqDG0Qs7iMG8SIOSB1xKkxu/SJ+69/Dcoz4kwYgXqx8eOvWrdlkdQgX1i4N74GEcR9/+P8wjYKgp5p9wGLv9LvvvjsbkoI79/EHUbMYASNw8BH4/k9+Ur3ET3/xi7VfRsPXKCtURsjyJUsYSqK/tLJPZX3HAq9OI/xgCaMziaHSmiIg6xjlF35zifFa/7SMbov/+wl/VjuM/hnlgGUMCyVSwjf/Bn1cm4D1gbp1GoEBIqCFL0SqRARu3JuSqznilZasx38eRkSMMDnxYpl7/DdJHpf1TzEcA/4Mp82JFxsraz4YR64jETuWiFhOvFicg4qYIYcc802Y8d9loYWmNGt3I2AEekAgXy8gv17xkVj9MjbSCU4Zwry8UkP+h4moiUhpnhfkSqJyio4iBEImN4Yo5mL96+GPJVQdcGCrbynyXMI3/wZ9XJuA9YG6dRqBASOQEyEeVdarJhLVJUwTBF3i6hLG+ssIdMGyS5io/cGDB9UljRQRLw1JlD+uRcR+nuZ3SahsRbzyZcS5zomYCZiQ89EIHEAEGsgWjfB1RI32RVYwypPf1IttiEhhAduVFcz6m/H/+wNoBTMBWyfHOqwROMQIqFF9Ia1Z0ES88tfvEiaPQ9dd4uoSRvryY5e4uoTJ9eq6S1xdwkhffuwSV5cw6D179uzkwoULFcES8WL4zu3bt6v97ThqOM/RmzcrUvX48eMJPwiWiBdDTui5Zk9ILbxB/CJi+H+z3igVd4sRMAIHCIEG8qU3WGc4ImVEJGHEuc8KlvSXhhPuzApm/Qvx/8sf/1hJYfYth2wFMwGbfS6fGIHxIlAtrvFpmofzZXsMmOPFr60QN6sdoisX659iM1b8Y3oQ8YqkS24vJWKlcf0xjIgXmy4zZAjhyHUkYjGMz42AEThACCwhX7M3aetvFmDvJBKwfC7W137wg8pjaTjhLqxg1t8S/zRcHYF4DX0umAlY9an8ZwTGjQCb/bL64a00jB2StIgIxMU1mOcVF+sooSjiRdzoQFcu1j9u/EkPIlkiXjR0mLOFZYyFOF5NDaucVOXEizkbLMCBpevq1auzCthELM9xvjYCBwiBFUlV1+GIWMG0H5s6cujAIT5Z4EHt1KlTFXhx3pcsY9EfxAzREGvKNLlFf5Wn9Gf9G8K/Ti98O0TDzkv4Vh56+vtKT3qt1ggYgQEhwBLyR5+ckgBI0mwp+lR/HK1LCYgX7iyOgTAvDGHhDYjYLMyJqTvES8Rq6lIvbz+tk+RUHa1/3PgzWV2NGfUwq0FDAjmeNllmPSsIFz2bImJV4kl/NJq0+Ibc8McPd+Z1KAy93LhZjIAROAAIrEi+9EZdSBjlC+UElpNXXnmliup+bVERccJRhEoLa+CmOWEqt1ikg8WFELlBuvhRxp08ebK6F/+sf4P4v/DC5K20UBMiy2aO7zvvvBPh3/n5gSZgZBB6OiVN57q/6aP1G/+mNBfdN53uFB8FONYBSdO57i86QrJYCv50IkciTSJibJwMyYrEK+75VQ0fTAQsEjHIGRs7S6p9xQKZk7uO1j9u/EkHJeKF+1tXrky+m5aPp/dSwwlFxLifEy+GDtGIUgMqJ2KE2YS4/Hf5H8v5pvNNpLVSHKNIfwvIV6v6j/D1kOQShrkbZQWiBnvq2Zl1DGmeF8RKnUU5sdJQROIQIYOkUbYhWhUxErfqRv1n/ZvFHxLOgk3UHcg+fCvX/v4ONAHrDzZrNgKHE4ESERKRglRF4iUEtPBCJGIKs4x4KQ4drX8/EROWhxl/Gjdq4Cgt0IB58dGjyb2LFysnGkX8IhGTX44QLyxdWo6YXmz8q9LlqPMYzudGwAgMEIEF5Gulp21JwqJ1pConUjjKIAhXW2KlMmwRSYOMibjF97D+PevXJvH/21/+soJ5H74R/J7OTcB6At5qjcCQEciJ0KlkBYNoLZJIxB4k6xfWNOLpItY/T8TGhD+NHnqYX6g3LNVePCJXkYiRtnLihZvCXEnWM8JFIsZ9ixEwAgNGYFPkS6/YgoSpc4ayAssXIktXG2LVlqS1sn5Z/2bxT3i+lhZwQqrvW531/+dFOPr/Bn4CIzBYBESElpGv+AL4ZThjV/IV47L+KZZjwB/ixWbM7OkF+YJEsaAGPZelDZVpMPErbcZMGMISx720PwxEDMuZ537F3OVzIzBABGrysfEnWxDvnHWk3qaiN+uX9VefftP4/6ye2yeivfH01SFCE7AOoDmIETACRsAIbA6BO3fuVCSLoTuvBuKlVaxEnnIipuGG9GrmmzFrvlhOxC7WQxo39/SOyQgYgY0gsIAkbTN+lSO/emKvSZxbv9AvNw0h1KIay6xfkAmkyfpl/W9U+Gwb/xh/pbDnv44DhHp+aqs3AkbACBiBQ4OAlnX+5O23J9frpYNLLyciBuFSo4Vz3JtERIxebsJocY4m/3Y3AkagBwS2Tb70SujJFuagTGATZxErvGqVQsiVBDfKKi2qwRG3GI77dCTlbsQR3RQnR+vfIf6F7x+/xS7Pj1y6dGlvGcFdaq51Xbt2rQetVmkEBoLAriqdptf96EbTHbsbge0j8MyFPR1Zo2jvhs+MgBE41Aj0UQ/G8qYP/fqgPIf1C43dHRPuly9f3p2+gqY9e2vhpp2MgBEwAkbACGwdgdgY2royKzACRmAwCPRFPqRXx74Asf5+kO8b9/TWHoLYz6e3ViNgBIyAERACCypDNjNlGJCG/ShI05HhP8zN0BCiJn8zd5O/GRQ+MQI7RWBBvtdzbDX/PzddGU+6fBwXAv/5n/5p8l/+6q96e2kTsN6gt2IjYASMgBFoQoCJ60x6h1AhTGBnDkUTEcOfwuAffwrDdVFMvoqw2NEI7ASBBfmPFUuZs8kqpghzPRfN98y3o8j3Adz3Pi3I374wdjACG0TAQxA3CKajMgJGwAgYgfUQgERpOXpIlSbBQ8Zwv3v37oyUoQk/uHFPq5QRBndWRsRdq5DNPdmCxt+cP18YASOwMwQgXiyqw9YRkC+2kkAgY2w5wTLikC0J5/l2FEu3nzD5Enw+9oiAF+HoEXyrNgK9Tr4Ffi/C4UTYJwJhEQ5ZryBOCCSKDVBFpnRfj6slnUW6cJfFC+sXwxAhZhyROYuYyVeFif+MwFAQyC1ekCjcWMU0t27xzFjDEK2Gynm0krHqKcTsvTqvzyxi9T5b+Hf9V6Ew2r9/+uKpXocgmoCNNun5xQeBQN89cSZgg0gGo32ImoCxDxhzPZBIvHJcIGc5EcNPJF55mJyIXU1LTr8ZG2F5AF8bASOwUwTYm++tt96qdEbilT9EiYjhJxKvPEwkYmm9wWpu6NmzZ6feXP/lcI3qum8C5jlgo0puflkjYASMwPAQ0D5gzPGCgElEuLiPO1YsrGL407DCfF4YhOvBgwez+WKEO3fuXGUJ+w9//ufeB0zg+mgEBoKA9uaDSGnzdR5NhIv7uLfZBxDCBZkjLvxrH8CH3/nO/7+99/mV47jyfIuSQcEA2d2QYEG0RdIbbZpeDLUQJe7bu+fVA2c/oIC3a1n8G6a7NxK7dw3wLzD5Nga00luMV6boheSFuBkBY5NiP6mnTcFuEjBM2OLEN6u+dU/FjazKzKrKzFv5CeDezIyMH5XfPHFOfONERlQ6w7pmJI/Oz5gwAqPygMndbHfxrt5Jm5FO6gf/3uUveMDUofR0qV3J/3Kkr65ARgDrkCG+DwTCFMRYnYlXnF64zjOmvLmnS3ErnrEN0w7R/+j/3vW/hHQRpi5/xkFHE684vXCdZ0x5oqdL1wpLz1gicMWA/SvCMpVIPGDhTUv52Q0dons7pX7wH1L+1IH0NKzehJ6KQGBECJSIl5aTV9vQ3/37949NUcyJl7xkImtqSyJw+vuZVlBLH+trRLwuoP/R/0Pq/6nLn9pliXjJ+yVyJXyuXr1aLcohsmpPWU689K2X7uldisD91/T37YYVVOt0AvEgsE8ERuUBU0PykqPbPrTmFCs8f/68cVHUD/69y1/wgKkjqQ7oLoK+qVG4cuXK+uIWI4DP/pxWk/tL+v7mpfXJ492nf5pftc1z+sW0IEI2+Zn6J4r/wgNWIl4r3qskav72y21EJEtB7UZhZZGNdO0yf5gImMNyRLxAxND/6P/e9b8FMx2nLH8l4pW3VZEuESq/I3nEFETMFJaLbKSFNxRU5rdvvbVcGVVxuU7xIhzYn2naHzxgahU7DB792GGRrYqi/vnoUyvQdph46vh79L8tpA/+MJt988dEwE7PZhf/ej0RE/FS+qcLrtg2z8vfnc3eeGX1F1L/xPFPqxXa+3usk7QQFX3r5W+/5NWqI16WrOp7sTSt92HqiKnj5j914NpMTXd5TY5T1z88P/bPnqkm7cVptOS8vY858XIarWioPxOxOuLl9Oc17TB8L2pvuAZm8qn52J9p2x/LTN/HUXnA4ko4XYGQu1rG9dSp+Q7nbTxg1H+0EhH4d0OgtfwFD1hcCa5b7UcrPN27d68qoqkHrAmpytPIk6Ugz5lCiYjleUpplLdJujwN9Qu5E47/wgMmMhUXzpg/2dy7Jc+XvF0iXzHERTjyeJX3u48+Wk5T14B54QAAXR9JREFU0n2PsvuD/phH5+h/9L9JQC4bTa9b6/9Q8JTlT94/YS/yFacJK14DJ/J2iXzFICKmUIr/v/77f6/0hb3kSmePuBf0UZw9YLltKdmpPA32p0LwRNt/PGDzd1j9t0s5RLU63VZ5Uv/cpd8K9JAY/OfL6AZIWp1GY9Eq4yKxPQhd8moa4aVXV4nQ/f+Yk6pzaabXV2mWlz1eMjyvpbhzZ+c1ffVkNvt6cb8uT8mgxd9J/RPHPxGsKP8iUHEPL3/PZe+YZKdEyDTKrY5Wpcmy70W8glqUu3iO/kf/R3loe479627/5DWLnjMRLxEre7mErYiYCJoJl49+T/aM/b/Jw60NLaQzpFO8l2DlEU8esVLA/kzb/pRkoo+47EuMPqqsr0MNMI5+1KdcveNpD/Z6rd5tfkX94D+k/J09e3b20kstPsJaiLanHdrr1Vzij6csGaIv5tszzXLi5dwiYvqLRMx5NhEvl+Ej9R83hMZyCvjnxEsdKE871L2HDx9W33REIpZ/G/ZeGi2/vZiqVPfhvuUtHtH/6P8h9f/U5U9tMSde9nyJXKkta6piTsRMvDS1WF+D5TqjtHBPbPfxHPszbfsTZaGP81ERMDWsLqNIdVNK2gJI/eA/pPypI9nFi6VV4vI57W1lP08fDZG8XyJS9njlaX0diZi8ZfKcqZwugfqPDOEU8C8RL49cS368EqK9YiZiuiePl4I6Xv/58cezu2kgT0F2IXboSiuoVQkX/9D/6P8h9f+U5S+2UzVHES8RK5FShbwtm4jpnhfl+Dx4uxSf64yuRGwK+ld4xTB1+xux2Of5qAhY2ykgmtNvF/UuQKL+dlNQwH+38qcOZJugjqc6rvsMUsRvtCRRm4ham99L/dPAX4MPkmW1gUi8oqzonjdUNhHT/WWezz+PyatzdeDUuYsdPHV03bGLGdD/6P8oD5vOsX+7s39qk+rL5cQrvoNSW9Z95fn/njyp9EBMr/OSzpCuaTpgif2Zhv3J5aav61ERsHxO7yYQNFqlD1d3Fah/9SPXTbiC/27lL/+mZRP+8pZ5uflNaTfdf/D7+SpI8duudXn8QbLSbFo10eV4iqJWQbz4N46dH6l/2viLdEn+1WFy8Efz+q7LUw493dZETGmrPIulqL3Qhjp0cTW12HnTlPVSQP+j/0tyUReH/dud/fvggw+q9hoHRpq0Zb2bd9J3YUkJVK+pic6QDskD9mfa9ieXh76uR0XA+npo6gEBEDiOgFYzfJiWl9eCGnVEzMTLC3KoFC+8UUfETLy8WuLxmucx1D9d/NUpcscodqIsK15COidi1f1EvmJnzXlEwkpEzPc5ggAIjAMBfXvn7+9ateXk/VJorTMKj439ma79KYhDL1EQsF5gphIQGDcC8ki9kjxT3t8rJ2I58fLiGnoq58mJWE68nEfTOvJA/dPGX/JQ6kSJcGnZaC1RbxIWPWL//vOfz26mBTdEtBzk+dI3I/JQmITlRMxpOYIACIwDgRLx2tSWUyMvbra8Tmd4oCc+NfYH+xPloa9zCFhfSFMPCIwcARGjfCl6ETH9OZRIVJ5HRCyGUp543+fUP1388+m00dMl+dA0Q6+GaCL2wzQ1cXbhgsVnZcqhIjWdSR24SMJ0rn0iRdAIIAAC40Agn84Zpw/rF9a1Zf/6T9JJE50h3aHvv7RARx6wP9O1P7ks9HX9Ql8VUQ8IgMDJQMCG6NL3Usd3MV1eR12LbOl+HrrkycvwdZeyuuRxffmxS1ld8uT1+rpLWV3yuL782KWsLnlivfJwKagTdfny5WohjnykWtf6Vkz3f6bvPhZBnTWtiqhV0zyNyfd0rXjdVzoFdfYIIAAC40HAbbJtW9YTKM/3U/uWblinM6RbFKxrqovCvy66rEueQtVVVJeyuuSh/joE+ovHA9Yf1tQEAicKASv1Nj+6S5668ruU1SUP9ZcR6IJllzyqvbQqWVyaXh4wr454+tNPZx+mPCJWeYirHcYV1UzESnnyMrgGARDoFwF5pfPQui2nb0Gf/uhHyw3cV3TGYvBGOqRp6KLLuuSp+z1dyuqSh/rrENh/PB6w/WNMDSAwegSqb7x+n77D+XPzn6pvvPTXNKhsrTaluvJA/XNspop/lAcRL+3Zoz9vs+C4d06dqpaUj+l1rs6apilpry9vTaKjrhWv+wQQAIHxI9ClLTvP2YLOiHqk7umxP9ifOtnYZzwesH2iS9kgcEIQ0GaT3/wxrICYVvU9XaMd8sU11q2aqMcXqVD5Slddp9UW873FqH/a+EsuosdL15pO5O86dO/vzp6tyFXcUFnptHy8SVf0esnbpW++TMTiPeUjgAAIjAcBkajYlrVdhKYXKi7e29T+v03tXkvTa78vffPlwZvoEcufGvuD/clloo/rmi5WH1VTBwiAwFgQ0BLyp1+ckyQRpSWpCkQsJ17+PkxL0muhjmWes/OnyomXYqvl7VOZeaD+aeOvjZXVWVKIxMtyciZtsiwfVt4R8/0SuVLHTX85EVOnjqmIRo4jCAyPgNqpBksUIvHyL7MXu3H7T97vc2mJ+rhwj4mYBnXyqYjYn2nbH8tZ38dT169ff953pbG+W7duxUvOQWBaCCz2MRnsof/t3krVJdKkjZNFsryPV76qYTV9IxEw7w0mIqc08qg5mHjVedWcjvpXvYXC5aDx/8GV6tWLgGklRHu8LA863rlxYyaCFRfYcEdM90Wm1EFz0HLW8nrlKx2aiCkeAma0OILA8AiIgGkhDnu84i9SfOf2H+yrPWJaAXFJwLB/Eepjs1V085Dtz2+evTr7h5/8ZAWDPi8gYH2iTV0gkCMQDER+q5frzAC5zhIRyomX0/qYEzHFNyVeLsNH6j9OxA4S/wUB83uPR3WY3vr229mjR4+qaHXO9BeJWEyf7yNUGkmP6TkHARAYLwIeMNm6/RcW+Fg+NfZvCUU8mYr9hYDhAYtyz/nUEBgpAfNrsCLWJs1aYalJEBF7nLxf58L0xSb5Smmof07EDhb/AgHzSPWbz5LbNQWNfvsbL13nRCwnXnkeiJgQIYDAyUAgJ167aP+/euGFajriMQRqCJjTYX8O2/5AwCBgbuscp4jAyAnYFF8Jz9wjAoGAmXg9S8Tr7fQT1PFSZ0zTC0skS0RMwd+O6DySM09TNHmDiAkhAgiME4ES8dpl+/80LOqzRGADAVum4+QgEYCAQcAOUrB5qIYIQMAaAkWyg0RgQcC++OKL6hswPeN7gXjlz1wiYkoTiVeeJydi+gastO9Qno9rEACBfhC4du3acoP0OPCS175t+/8kFahvwJb7DkLAcogndQ0Bg4BNSuB52AwBCFgGCJeTQmBBwLQAx+PHj2e/++ijlQU16rBwR0z3Rb7qvguL+UXE5C0TAcsX6IjpOAcBEOgXAS204UU44oI6db9im/b/r7/+dUXCqrIhYHUQTyIeAgYBm4Sg85A1CEDAaoAhehIIhCmI6UOvSTwyDwkCIDAwAra7ELCBX8Sw1Q9NwF4Y9vGpHQRAAARAYPIIQL4mLwIAAAK9IYC+6Q1qKqpHgI2Y67HhDgiAAAiAQB8IeES6UJemJ545c6baoLlw+1iUFvHQpqv61qNRoDPWCCYSgcDOEVjT7l3X3tu/K+IIAj0jAAHrGXCqAwEQAAEQ2IxAXBVRqb1J8+m0mlkpiHg5j+4rnfOU0ldxkK9aaLgBAntHQO2vhoS5LatdK7gt77T97/0BqQAE6hGAgNVjwx0QAAEQAIGeEcg7XvJ+yaP19ddfV395RywnXvq5zvPw4cOVPCuPAvlagYMLEBgEgYyE9db+B3lYKgWBIwQgYEdYcAYCIAACIDAQAqWO18WLFysyFUlWJGL6qbp2iORMpO3BgwcVeTtGxCBfhowjCAyPQGqPX6W2rrZsj5cGUfbW/od/Yn4BCMwgYAgBCIAACIDAoAjEfcBix8s/StOO1Bk7d+7ccpphHfFyHpVz6dKlioBFIvb3V67MbjsRRxAAgcERqPYBS95qrYO67/avgZnlPmCDPzk/YMoIQMCm/PZ5dhAAARAYAQKvvPJK9StEsNQBc7DnS/cVnxMxpVOe+F2IOljaU8zxkYj9t7/9W/YAM7gcQWAkCHhfvm/Tnn6X0p/Drtu/vOzWNa6DIwgMhcCp69evPx+qctV7K+wD9uGHH6atYHa7F8zt283HOqkf/HuXv/ABsoyDOo+7DBtH+tgHZZdwU1ZbBOI+YCGvO17Ry1UaGQ9ZVjxdjo9TEjftM4b+R//3rv8tqOk4dfkLUMyevfnm0tPt+K3bvwuKR+xfRGNy50PvAzYqD5iUn3ZDHypQP/gPKX8iX1pylwACU0WgRLy0nLzahv7u379/bIqS4j3FULjJG6bOmtqSCJz+fpZG1X/65Zez8+fP10KL/kf/D6n/py5/aphfpjZ68+bN2c3PPqumIypuF+1/ZSBGhRJAYAQIjMoDdvfu3dmjR492AovmFCs8f97cwUf94N+7/AUPmDqS6oDuIuibGoUr6XuXtWExAvjsz7PZs7+k+fcvrU29cvPpn+aXbfOcfjF1krOhH+qfKP4LD1iJeOWdptIiHZJAtRsFES/n0bXL/GFYpOOnImLpr0TE0P/o/971vwR1EaYsf0vilciXg9rpP/3iF8vpxV3bf/SiWz8spyxj/yq4p2p/8YC5te3o+Prrr8/eeeedHZXWvhjqB/8h5c+j/20l98EfZrNv/pgIWNpi6eJfrydiIl5K/3TBFdvmefm7s9kb809+lj+T+ieOf1qt0N7fY52khZTomy79uSNWR7wsVGoLF9O03oceVdfIevpTJ7vN1HSX1+SI/kf/D6n/T6r83bhxYzn76dggyWKQslP7Lyzco4GZfGo+9mfa9qeJbt9Hmmwceh9VNC9TxnHbKQD6mLOrAqR+8B9S/tSxdCe0eatZTanpGrlxWU1RvjqX1j2QB0yk6v5/lIlYTrzkyVJok0dkTXXlgfonjv9iIQ0vnGH5EMlSu9CUQt1TiB0xX1c3Fv+UXvl+99FHMw3Fydul72vUsZOO9wf/MY/O0f/o/yH1/5TlT21T5FHH6J2WV/DmhQuzf7l3r3X7l56Q3qgGYgIRKy3Cgf2Ztv3JbUFf16MiYG+H6VhdANhWeVL/211gX+YB/+2+X5Sx2CZsQ940jfDSq4lMBe+WiZiM01dplpc9XiJer6W4c2fnv/arJ2kvpsX9ujybvGTUP3H8k+xH+ReBit91+Xsue8ckeSZkbjP2jGmEu9JkV6/OpNNFvjQoZyLm9PkR/Y/+z2WizTX2r7v9U/uMA+ciXu+///5yUTaV/GmaSty0/eu9SWdIp3gvMROx0jvF/kzb/pRkoo+4UREwG8m2D263+6lTp9pmXUlP/fNOygooDS7Afz7tZlv5O3v27Oyll1p8hLV4N552eC+NEm4bSoboi8W6IDnxcl0iYvqLRMx5NhEvl+Ej9R83hMZyCvjnxEsdKBEte7WObaicBCcSL8nRe4l03U6dN68qdzUjYpa1/Ij+R/9H70suH3XX2L/d2D/hmxMvDYqIiKktv5kWafsk7RWmb7oiEcvbf64zSgv31L1L7M+07U+dXOwrflQErKsLfptphxFY6u82BQX8u097jfInQ9LFi9V12mGsOz+Phkjer2rq4MLjlaf1dSRi8pbJc6ZyugTqPzKEU8C/RLw8ci358Upo9oqZiOmePF4K6nj958cfz+4uvgGWXooduk1EDP2P/u/ixcL+bW//YjtVW46ea127Lb+XyNg/JyJW1/7X6YyuRGwK+lcYxzB1+xux2Of5qAhY2ykgWjlHS7fuKlB/uyko4L9b+VMHsk1Qx1Md130GKeI3WpIoT03cxe+i/mngbw+X2kDsREUZ0r1Lly5VMm8ipvvLPJ9/HpNX5/JqqXMXO3giWorPA/of/Z/LxLpr7N/u7J/apPpyOfGK+Me2/Fc//vHS9i3bf8F+lnSGdE3T76SxP9OwP1HO+jwfFQGTq7lN0GiVl5tvk68uLfWDf51slOJ3LX/5Ny2lOmOcvGVebj7Gdzl/8Pv5Kkjx26515fhbMaXZtGqiy/EURa2CePFvHDs/Uv+08Rfp8kfzlgwNMHh6kaccebqtiZjSqpOVem9VtricdVxNLXbeNGWsFND/6P+SXNTF7Vr/T1n+Pvjgg2oBjjgwsq4tz548mT390Y+qV1O1/8VLaqIzpEPygP2Ztv3J5aGv61ERsL4emnpAAASOI6BVEB+m5eW1oEYdETPx8oIcKsULb9QRMRMvlb8uUP908VenyB2j2ImyvHhD5ZyIVfcT+YqdNefRqLr+ciLm+xxBAATGgYC+vfP3d03b8hl5vBcLt7XWGYXHxv5M1/4UxKGXKAhYLzBTCQiMGwF5pF5Jninv75UTsZx4eXENPZXz5EQsJ17Oo2kdeaD+aeMveSh1okS4tGz048ePq4/vcyL27z//+exmmjkhouUgwqVvRuShMAnLiZjTcgQBEBgHAiXitaktp0Y++/attyrd4KfYpDM80OP0OmJ/sD9RHvo6h4D1hTT1gMDIERAxypeiFxHTn0OJROV5RMRiKOWJ931O/dPFP59OGz1dkg9NM/JqiCZhP0yroc3SHkEO0dOlOE1nUlwkYTrXJswiaAQQAIFxIJBP52zalv3rNQG5ic6Q7tD3X1rUJw/Yn+nan1wW+rp+oa+KqAcEQOBkIGBDdOl7qeO7mC6vo65FtnQ/D13y5GX4uktZXfK4vvzYpawuefJ6fd2lrC55XF9+7FJWlzyxXnm4FNSJunz5crUQRz5SrWt9K6b7P0vEykGdNa2KpqWqPY3J93SteN1XOgV19gggAALjQcBtsm1b1hMoz/dT+5ZuWKczpFsUrGuqi8K/LrqsS55C1VVUl7K65KH+OgT6i8cD1h/W1AQCJwoBK/U2P7pLnrryu5TVJQ/1lxHogmWXPKq9tCpZXJpeHjCvjnj6009nH6Y8IlZ5iKsdxhXVTMRKefIyuAYBEOgXAXml89C6LadvQbUwh1dIXdEZi8Eb6ZCmoYsu65Kn7vd0KatLHuqvQ2D/8XjA9o8xNYDA6BGovvH6ffoO58/Nf6q+8dJf06CytdqU6soD9c+xmSr+UR5EvLRnj/68zYLj3jl1qlpSPqbXuTprmnKovb68NYmOuvYKiHkerkEABMaHQJe27DxnCzoj6pG6p8X+YH/qZGOf8XjA9okuZYPACUFAm01+88ewAuKZ2ex0jXbIF9dYt2qiHl+kQuUrXXWdVkPM9xaj/mnjL7mIHi9dazqRv+vQvb87e7YiV3FDZaXT8t0mXdHrJW+XvvkyEYv3lI8AAiAwHgSix0u/SttFaHqh2ne8t6n9f5va/Tspn7ew8OBN9IjlT439wf7kMtHHdU0Xq4+qqQMEQGAsCGgJ+dMvzkmSiNKSVAUilhMvfx+mJem1UMcyz9n5U+XES7HV8vapzDxQ/7Tx17QhfSCvEImX5URLTt9NF3lHzPdL5EodN/3lREydOqYiGjmOIDA8AmqnGixRiMTLv8xe7MbtP3m/z6Ul6uPCPSZiGtTJpyJif6ZtfyxnfR9PXb9+/Xnflcb6bt26FS85B4FpIbDYx2Swh/63eytVl0iTNk4WyfI+XvmqhtX0jUTAvDeYiJzSyKPmYOJV51VzOupf9RYKl4PG/wdXqlcvAqaVEO3xsjzoeOfGjbTdz9srC2y4I6b7IlPqoDloOWt5vfKVDk3EFA8BM1ocQWB4BETAtBCHPV7xFym+c/sP9tUeMa2AuCRg2L8I9bHZKrp5yPbnN89enf3DT36ygkGfFxCwPtGmLhDIEQgGIr/Vy3VmgFxniQjlxMtpfcyJmOKbEi+X4SP1HydiB4n/goD5vcejOkxvffvt7NGjR1W0Omf6y1c6dJ58H6HSSLrTcgQBEBg3Ah4w2br9Fxb4WD459m8JRTyZiv2FgOEBi3LP+dQQGCkB82uwItYmzVphqUkQEXucvF/nwvTFJvlKaah/TsQOFv8CAfNI9ZvPkts1BY1++xsvXedELCdeeR6ImBAhgMDJQCAnXrto/7964YVqOuIxBGoImNNhfw7b/kDAIGBu6xyniMDICdgUXwnP3CMCgYCZeD1LxOvt9BPU8VJnTNMLSyRLREzB347oPJIzT1M0eYOICSECCIwTgRLx2mX7/zQs6rNEYAMBW6bj5CARgIBBwA5SsHmohghAwBoCRbKDRGBBwL744ovqGzA943uBeOXPXCJiShOJV54nJ2L6Bqy071Cej2sQAIF+ELh27dpyg/Q48JLXvm37/yQVqG/AlvsOQsByiCd1DQGDgE1K4HnYDAEIWAYIl5NCYEHAtADH48ePZ7/76KOVBTXqsHBHTPdFvuq+C4v5RcTkLRMByxfoiOk4BwEQ6BcBLbThRTjigjp1v2Kb9v+vv/51RcKqsiFgdRBPIh4CBgGbhKDzkDUIQMBqgCF6EgiEKYjpQ69JPDIPCQIgMDACtrsQsIFfxLDVD03AXhj28akdBEAABEBg8ghAviYvAgAAAr0hgL7pDWoqqkeAjZjrseEOCIAACIBAHwh4RLpQl6YnnjlzptqguXD7WJQW8dCmq/rWo1GgM9YIJhKBwM4RWNPuXdfe278r4ggCPSMAAesZcKoDARAAARDYjEBcFVGpvUnz6bSaWSmIeDmP7iud85TSV3GQr1pouAECe0dA7a+GhLktq10ruC3vtP3v/QGpAATqEYCA1WPDHRAAARAAgZ4RyDte8n7Jo/X1119Xf3lHLCde+rnO8/Dhw5U8K48C+VqBgwsQGASBjIT11v4HeVgqBYEjBCBgR1hwBgIgAAIgMBACpY7XxYsXKzIVSVYkYvqpunaI5Eyk7cGDBxV5O0bEIF+GjCMIDI9Aao9fpbautmyPlwZR9tb+h39ifgEIzCBgCAEIgAAIgMCgCMR9wGLHyz9K047UGTt37txymmEd8XIelXPp0qWKgEUi9vdXrsxuOxFHEACBwRGo9gFL3mqtg7rv9q+BmeU+YIM/OT9gyghAwKb89nl2EAABEBgBAq+88kr1K0Sw1AFzsOdL9xWfEzGlU574XYg6WNpTzPGRiP23v/1b9gAzuBxBYCQIeF++b9OefpfSn8Ou27+87NY1roMjCAyFwKnr168/H6py1Xsr7AP24Ycfpq1gdrsXzO3bzcc6qR/8e5e/8AGyjIM6j7sMG0f62Adll3BTVlsE4j5gIa87XtHLVRoZD1lWPF2Oj1MSN+0zhv5H//eu/y2o6Th1+QtQzJ69+ebS0+34rdu/C4pH7F9EY3LnQ+8DNioPmJSfdkMfKlA/+A8pfyJfWnKXAAJTRaBEvLScvNqG/u7fv39sipLiPcVQuMkbps6a2pIInP5+lkbVf/rll7Pz58/XQov+R/8Pqf+nLn9qmF+mNnrz5s3Zzc8+q6YjKm4X7X9lIEaFEkBgBAiMygN29+7d2aNHj3YCi+YUKzx/3tzBR/3g37v8BQ+YOpLqgO4i6JsahSvpe5e1YTEC+OzPs9mzv6T59y+tTb1y8+mf5pdt85x+MXWSs6Ef6p8o/gsPWIl45Z2m0iIdkkC1GwURL+fRtcv8YVik46ciYumvRMTQ/+j/3vW/BHURpix/S+KVyJeD2uk//eIXy+nFXdt/9KJbPyynLGP/Krinan/xgLm17ej4+uuvz955550dlda+GOoH/yHlz6P/bSX3wR9ms2/+mAhY2mLp4l+vJ2IiXkr/dMEV2+Z5+buz2RvzT36WP5P6J45/Wq3Q3t9jnaSFlOibLv25I1ZHvCxUagsX07Tehx5V18h6+lMnu83UdJfX5Ij+R/8Pqf9PqvzduHFjOfvp2CDJYpCyU/svLNyjgZl8aj72Z9r2p4lu30eabBx6H1U0L1PGcdspAPqYs6sCpH7wH1L+1LF0J7R5q1lNqekauXFZTVG+OpfWPZAHTKTq/n+UiVhOvOTJUmiTR2RNdeWB+ieO/2IhDS+cYfkQyVK70JRC3VOIHTFfVzcW/5Re+X730UczDcXJ26Xva9Sxk473B/8xj87R/+j/IfX/lOVPbVPkUcfonZZX8OaFC7N/uXevdfuXnpDeqAZiAhErLcKB/Zm2/cltQV/XoyJgb4fpWF0A2FZ5Uv/bXWBf5gH/7b5flLHYJmxD3jSN8NKriUwF75aJmIzTV2mWlz1eIl6vpbhzZ+e/9qsnaS+mxf26PJu8ZNQ/cfyT7Ef5F4GK33X5ey57xyR5JmRuM/aMaYS70mRXr86k00W+NChnIub0+RH9j/7PZaLNNfavu/1T+4wD5yJe77///nJRNpX8aZpK3LT9671JZ0ineC8xE7HSO8X+TNv+lGSij7hRETAbybYPbrf7qVOn2mZdSU/9807KCigNLsB/Pu1mW/k7e/bs7KWXWnyEtXg3nnZ4L40SbhtKhuiLxbogOfFyXSJi+otEzHk2ES+X4SP1HzeExnIK+OfESx0oES17tY5tqJwEJxIvydF7iXTdTp03ryp3NSNilrX8iP5H/0fvSy4fddfYv93YP+GbEy8NioiIqS2/mRZp+yTtFaZvuiIRy9t/rjNKC/fUvUvsz7TtT51c7Ct+VASsqwt+m2mHEVjq7zYFBfy7T3uN8idD0sWL1XXaYaw7P4+GSN6vaurgwuOVp/V1JGLylslzpnK6BOo/MoRTwL9EvDxyLfnxSmj2ipmI6Z48XgrqeP3nxx/P7i6+AZZeih26TUQM/Y/+7+LFwv5tb/9iO1Vbjp5rXbstv5fI2D8nIlbX/tfpjK5EbAr6VxjHMHX7G7HY5/moCFjbKSBaOUdLt+4qUH+7KSjgv1v5UweyTVDHUx3XfQYp4jdakihPTdzF76L+aeBvD5faQOxERRnSvUuXLlUybyKm+8s8n38ek1fn8mqpcxc7eCJais8D+h/9n8vEumvs3+7sn9qk+nI58Yr4x7b8Vz/+8dL2Ldt/wX6WdIZ0TdPvpLE/07A/Uc76PB8VAZOruU3QaJWXm2+Try4t9YN/nWyU4nctf/k3LaU6Y5y8ZV5uPsZ3OX/w+/kqSPHbrnXl+Fsxpdm0aqLL8RRFrYJ48W8cOz9S/7TxF+nyR/OWDA0weHqRpxx5uq2JmNKqk5V6b1W2uJx1XE0tdt40ZawU0P/o/5Jc1MXtWv9PWf4++OCDagGOODCyri3PnjyZPf3Rj6pXU7X/xUtqojOkQ/KA/Zm2/cnloa/rURGwvh6aekAABI4joFUQH6bl5bWgRh0RM/HyghwqxQtv1BExEy+Vvy5Q/3TxV6fIHaPYibK8eEPlnIhV9xP5ip0159Gouv5yIub7HEEABMaBgL698/d3TdvyGXm8Fwu3tdYZhcfG/kzX/hTEoZcoCFgvMFMJCIwbAXmkXkmeKe/vlROxnHh5cQ09lfPkRCwnXs6jaR15oP5p4y95KHWiRLi0bPTjx4+rj+9zIvbvP//57GaaOSGi5SDCpW9G5KEwCcuJmNNyBAEQGAcCJeK1qS2nRj779q23Kt3gp9ikMzzQ4/Q6Yn+wP1Ee+jqHgPWFNPWAwMgREDHKl6IXEdOfQ4lE5XlExGIo5Yn3fU7908U/n04bPV2SD00z8mqIJmE/TKuhzdIeQQ7R06U4TWdSXCRhOtcmzCJoBBAAgXEgkE/nbNqW/es1AbmJzpDu0PdfWtQnD9if6dqfXBb6un6hr4qoBwRA4GQgYEN06Xup47uYLq+jrkW2dD8PXfLkZfi6S1ld8ri+/NilrC558np93aWsLnlcX37sUlaXPLFeebgU1Im6fPlytRBHPlKta30rpvs/S8TKQZ01rYqmpao9jcn3dK143Vc6BXX2CCAAAuNBwG2ybVvWEyjP91P7lm5YpzOkWxSsa6qLwr8uuqxLnkLVVVSXsrrkof46BPqLxwPWH9bUBAInCgEr9TY/ukueuvK7lNUlD/WXEeiCZZc8qr20Kllcml4eMK+OePrTT2cfpjwiVnmIqx3GFdVMxEp58jK4BgEQ6BcBeaXz0Lotp29BtTCHV0hd0RmLwRvpkKahiy7rkqfu93Qpq0se6q9DYP/xeMD2jzE1gMDoEai+8fp9+g7nz81/qr7x0l/ToLK12pTqygP1z7GZKv5RHkS8tGeP/rzNguPeOXWqWlI+pte5Omuacqi9vrw1iY669gqIeR6uQQAExodAl7bsPGcLOiPqkbqnxf5gf+pkY5/xeMD2iS5lg8AJQUCbTX7zx7AC4pnZ7HSNdsgX11i3aqIeX6RC5StddZ1WQ8z3FqP+aeMvuYgeL11rOpG/69C9vzt7tiJXcUNlpdPy3SZd0eslb5e++TIRi/eUjwACIDAeBKLHS79K20VoeqHad7y3qf1/m9r9Oymft7Dw4E30iOVPjf3B/uQy0cd1TRerj6qpAwRAYCwIaAn50y/OSZKI0pJUBSKWEy9/H6Yl6bVQxzLP2flT5cRLsdXy9qnMPFD/tPHXtCF9IK8QiZflREtO300XeUfM90vkSh03/eVETJ06piIaOY4gMDwCaqcaLFGIxMu/zF7sxu0/eb/PpSXq48I9JmIa1MmnImJ/pm1/LGd9H09dv379ed+Vxvpu3boVLzkHgWkhsNjHZLCH/rd7K1WXSJM2ThbJ8j5e+aqG1fSNRMC8N5iInNLIo+Zg4lXnVXM66l/1FgqXg8b/B1eqVy8CppUQ7fGyPOh458aNtN3P2ysLbLgjpvsiU+qgOWg5a3m98pUOTcQUDwEzWhxBYHgERMC0EIc9XvEXKb5z+w/21R4xrYC4JGDYvwj1sdkqunnI9uc3z16d/cNPfrKCQZ8XELA+0aYuEMgRCAYiv9XLdWaAXGeJCOXEy2l9zImY4psSL5fhI/UfJ2IHif+CgPm9x6M6TG99++3s0aNHVbQ6Z/rLVzp0nnwfodJIutNyBAEQGDcCHjDZuv0XFvhYPjn2bwlFPJmK/YWA4QGLcs/51BAYKQHza7Ai1ibNWmGpSRARe5y8X+fC9MUm+UppqH9OxA4W/wIB80j1m8+S2zUFjX77Gy9d50QsJ155HoiYECGAwMlAICdeu2j/v3rhhWo64jEEagiY02F/Dtv+QMAgYG7rHKeIwMgJ2BRfCc/cIwKBgJl4PUvE6+30E9TxUmdM0wtLJEtETMHfjug8kjNPUzR5g4gJIQIIjBOBEvHaZfv/NCzqs0RgAwFbpuPkIBGAgEHADlKweaiGCEDAGgJFsoNEYEHAvvjii+obMD3je4F45c9cImJKE4lXnicnYvoGrLTvUJ6PaxAAgX4QuHbt2nKD9Djwkte+bfv/JBWob8CW+w5CwHKIJ3UNAYOATUrgedgMAQhYBgiXk0JgQcC0AMfjx49nv/voo5UFNeqwcEdM90W+6r4Li/lFxOQtEwHLF+iI6TgHARDoFwEttOFFOOKCOnW/Ypv2/6+//nVFwqqyIWB1EE8iHgIGAZuEoPOQNQhAwGqAIXoSCIQpiOlDr0k8Mg8JAiAwMAK2uxCwgV/EsNUPTcBeGPbxqR0EQAAEQGDyCEC+Ji8CAAACvSGAvukNaiqqR4CNmOux4Q4IHD4C0QNx+E/LE44RATpDY3wr/CYQ2D8C9kStqUnTk8+cOVNt0L4m2fKWFvHRpsv61osAAmNGAAI25rfDbzt8BNT5bGCEDh8InnCSCEC+JvnaeWgQqBBYY//iqqhK603aT6fVDEtBxMt5dF/pnKeUnjgQGBqB0UxB1AeYWgknBu2Orr8Y4mo5itfHmIrTB9YOOlec7jmUyvc9HUv3qR/8e5G/ZIQ0yqeV4GJ48ODBTH8xxNXiFC+joziN+DnoXHG651Aq3/f07U3pPvWD/17lL5Av9O+w9m+pCzgBgb4RCHpAVYtEffbZZ7OHDx9WNkzeL4Wvv/66ipdOirZN54pTHqVRUB7FqwzFq0wCCIwNgVERMBlh7fvgoGutWhXJlQ21yZV2SVdc7Cjr2nljWYqL5fuejs4T77sM6j8it8Ikklvw3438/T//5b9UJCgaCpEiGZRIrkyUbIB0VFzsKGs1OcXFskpxUf6pH/xzmdH13uQv63Shf+c2ayj7E3UB5yDQOwJJH5SI16VLl2b6u3z5cuXN0u+KRCwnXvJ4Ka3zQcR6f5NU2AKB0RCwuk019SyRXOXptGSpd0o3UYppTNRiXAmf0n3HUf+RF9KYePNT8N+d/L2dBNMjeJJRGROFSK4cZ3IlA6M/kTQTtXPnzlX5VJaJWoyrbmb/9F6pH/x7kb+MfEkUc70S49C/+9e/mTrgEgR6RUCDut8PHq9IoPRDNJ3w4sWLx4iY9ZWJl9J4iqLsYizHHrF8pkmvD0plIBAQGA0Bc0deHhWPAsrwvv7662mG1CdLL1g01CZXMb2eTXvCxHSKK5WveIfSfeoH/77l783k0TK5EmmSMdlErmR0FEzUPPddcS7LRE1GyHG672D5p/4jfMB/9/In+bK+tuzpaPlD/w9j/+K74BwE+kbAe/N9+8tfVqRJ9kpB9kp2zYOLORErES+lVR4PPkYipoU5Xnnllb4fj/pAoIjAqevXrz8v3ukp8lbYB0werKtXr1akK5KrGzduVF4ue7hEjOSBEcmyMZcBF1H7ZWrAOlf+CxcuVE+hecAiZaXy42OW7qt86gd/eVl7lb8f/KASTZElya+NiCJlXDTyJ+Nj8nX//v3KSGnET2llfDT3XUFTMkzklE7niluGhUdiRf6pv4IH/Hcnf3eTzs71+1IG08mK/C2+30X/9md/hLVs6C7D7du3GxdH/dPGPwrKszffrAYK7eHSPdk12TsdS8HEy2RNaWQjPZBWyjNjH7AiLFOJHHofsFERML10E6kPPvhgOfVQ5Ekjo03IVdOOciw/Chv1z4lsxAf8B5K/RedFREqEqgm5akrUNDjhaYlahMNhRf6pv4IF/Hcgf4uP4FfkK1tgSWCX7qN/+tE/mgamb/F2GZ4/bz6+S/3Txl9yp4FzDa7rz1ZJXiuRqujRikQsJ14aYJQd1DesDrVEDAJmiCZ5hIAFD5gkgFFQvID5KPmkR8GT523vXphAwI61P+oH/y29sPq2kFkI45+Fobavgc5dBJEphTYEjPqni38kXpY/zXD6p1/8YvlNl+ygPGKRiCmtPV4iXiZailc659G1gu8rbRUWBOzZn1P6vyQv20vz6Cb/n/5pnqptntMvpm/asg2gqH8Y/IcmYKP5BswCrxFQebFkCDwa54+w4/QIzRlW8GIQOnc6x2nkNE9XKl95HUr3XS71e0xqdgxX4WecwP9mJU47kb9EjuypsqFR4Z7HHqdoOJ2MjoKMjDejdJxGBvUn4xRHCKsM6d8x+ad+8F8s6tJF/j7I9PQx+bLgLY6l+9Yr6N/969/sdbS+1DeztrmtM+8gA/WfTPz1mYf7DSJeGrDRwOvpTz9dSoXsm6bOa/aGbJv0kf50rjjdsw1UJsXLU6Z4ES8F2Ut/K11FLP49+MNsdv8/0t//ToRuQazi/Xiu+0pXpe+QR3XlgfqHxT9/H31dZzy8r2rr69FIiA2tiJiCRsYUfK1zkzMvtqE4NViFmM55bRRK5VeZFv9K911GLJf651NVwP+nS/HZm/yl6RgvpG8jRZwctKy8gg2LziPJ0rWCO80mbCJejovlzVPPp4Aca3/UD/5d5C+R97tpEEwB/TsfMCzZF7c9HUv3+7I/6gDbrsXf1OZc71kkukug/unir36EyLOOGrh0kOzfTOTqX+7dW5IrkSz92d5F0qV8ipeNU7xsnImY89gWug4dzyXTKg/Y07R1pojVmeQgu/jXqx4xES8RJaVRkCdLoU0elau68kD9w+Kfv4++rkdHwOIoiBuiR0DdwZWRiukElhqqOo5qxDG9PGkiTjYKMZ/Lj2CX7sfylJb6wT/KiWRi3/Knse8ni9UORaLs+bLxkcHRn4yN42SIlFZGyGTLRkvETWnzEJ/L7UPyT/3g30r+ki6Wvkb/nhz7EwcYc73Q5Hpb8kb98wHnJliX0pxk/NU/cx9NzyZ7WtmdpEcUNNz76WLhKds3H6sE6Z9sW5yiqBkesnv+XsxEzOnjUdMIL72ayFQgWSZiIkdfPV0lXq+luHNn5yV89SR51hb36/KUCB31HyEwNP5Hv6Tfs1ERsHXEZhOJMkmKHhl3JtcRtwg39dcTK/BfT+L7kL8z8gQvvsmS3EYS5WkV0SNmkiYDpFAibtWNxb9N8k/94N9I/hadJvTvfCrySbE/6gB70CXqhU3nGvRU3lOnTm1KuvY+9U8bfwlHTrzU75BtVRt6M+mVT9LURNk12TkTsJx4iXTpnuI1KKmVfyMRWyeEJSLwxWItD3m8IvFyOSJi+otEzHk2ES+X4SP1HyfCxrIP/P0e+jqOioDZYEc3tDu264zYvr0PehnUP5/eua6TjvexB+9rWqXs6zQlQ8EGaN/eL9W1lH/qB/918pe2SLC84P06Od4vvTPZ3y5elG2mHVbCsvhH/dPFv0S8ZHPsFZOMKc17iYz9cyJi+kbMA4waWFTISZZXT9Tg5DZETN6vaurgwuO1ENdjh0jENC1RnjMRqi4hEjHq7x//Lu+sS57RELB1HXu8L8N7X6wI15FkvI9H34MZpyVxKUybjQ22jfxrXP23YQphH96v+P6pH/xL8vc//vEfZ5cXQr1P+VcVpUE69E93/SNMZWfbBOksfy/aJl9dWuqfLv7SF5IlyUAkXlFWZINEwvT3Vz/+cUWqdD8nXjGP7mn7FhEwEzF5xt54442YrPZcROiNliTKUxNrC21xg/qHxb/Fq+qUdDQEzAa7ZFjdidUTxnS6VmPs69sv6gf/scjfC7/6lVY2qAyLjMu+vv2SzJfaH/WDf5S//ztNQ/tysa+X5GUf3i/07/70r7D1bBOdNwnylnm5+SbpN6Wh/vc3QbRy/5Dw176j6vt5oE8P6kFJ2Vzdc9+wSvPkyezpj35U4SGS5SBvmKckepqibGMkYqVvnx/8fjb75o/lKYYuOx79rZji8sU6Yrp47imKL3835fmbeCct7vF76h8S/9W30d/V6Jah7+/RqQkETjgCi29tBnsK6h8M+qrikeDfbtx+WMioHQRAYHwI6NtDky8RL5FxLS3vAU8dda143Vc48/nnFbHSuYiXPFyfffbZcmqipijqWvFxmmKJgFVl/CXtV/iH2eyzr+bfcykuD3EJek0z9AqI65avF/FSmSpbKy3WBd2j/uHwr3sv+4wfDQHT6IaCGpobmEfe48hYTKf0arRyW2vENabX90jyjMlDphDzufzqxuJf6X4sz2ljOsVRP/gPKX82Qh75k0zq2zAZGX8b5jgdZZRsjHTtEOXa7aOJ/FP/vBMwZfyHlH/07270r/UARxAYCgHZnZx4yS798pe/XOm/RSL2ZfLC5sRLni9NO/SCVCUilj+jPFKXvjf/1qhEhHLipW/ClN55SkQsJ17Ok3u/9Fuo/wjLIfDP5aGv69EQMI2AxE6gALBx3USk3FH0aInyuiyTt1L5SudQuk/9c+MO/uuJ/NDy958ff1yJsT9K1oWNj4yTggiZ4zRFIw/byD/1Txv/oeWf+ucLJG1j/3J9wDUI9ImAplNGj5f6b96MWf0wtXFdu19nj5jy/DANKirIvmnTZS87X9qEWR4xLU9fCl74wqTKRODeo/neYCJZJlFasl7p8zwmYspjj1eep1S34vKyqH+OYV/4172XfcaPhoDpIWPjqhuFX9dR7MMLRv31RBn89++FrZO/95IXuA8vDPWX5X/q+PflBauTP+rffhbIPjsalA0C6xDw6puReKmtx6DrnIjpvvJ8P5EzEa58eqGucyL2+PHjWOyx85wIKcEmEtUlz7GKFxFdyuqSh/rrEOgvflQEbJ1xxQszbi8Mo9Dbj0JvK//6FmcoL5jeP/VPG3+ZrW28MNvKP/Vvh7/wI4DAEAjcvn179vz584pgSQ8o6PMReb+0v5yO/pxE92VvlH4lT/rkxMvN37t3r9r/S9cKJmJXrlxptQKiPF1XXk/T4xYer6qwNf9MhNrkqSuuS1ld8lB/HQL7jx8VAdPj4gXb/C3cuo4KXqjhvFBjGIV/c7EKlNrSvr4FWyd/1D9fhWuq+KN/Trb+kdwSQGBIBEy8rl69utzmQAPwuo5ELP5G5zmbNl026TIZ00bMjot54nm1quHv0yIZf46x68/1jZf+mgaVrdUOVVceqH+OzVD45++jr+vRETB17tSRVVCjU1CjU/C1zrUxn0IccfX3XjGd89rFXSq/Kmjxr3TfZcRyqR/8xyp/f59G+Ry8RK+nXWgk0HElo7QL+af+aeMf9aR1J/r3TtUkS+3LbVXH0n1jGHHdl/2Jv4VzEOgTAZMoEy8tpKbl6eXl0kIc6heqDUQiludRmm9TWnm69H2Y7F0TIqbNjr9Of599vZkIxMU1Nq1aKPxMvFS26lBdeaD+YfHP30df19/pq6Km9ahBqZGp8dnIeHqbiZnKskG3x0xxTuc4fUeWpyuVr7wOpfsul/rnxFhY5bgqzjiB/9yLOaj8pUGLZ2++ufzgWN4wBRkj/ckwvfzyy1Vc/Lcz+af+aeOfhGpQ+af+TvhHXcA5CPSFgAbPPZiuvp/6EB5Q12/QIIRsk/4UbyLm36e+mfofHqxICWbnUpzsnvcFMxHTYh36LiwG7eV1+sU5CRBJ0t9raXuxc+nv9KKXLOKleC2OoaDvwhS08IaI2DLP2Xm8iJeJ1TzmqExf+0j9w+Lv99D78fr168+H/EujGyshNaTnCYTnaeRjGZ8aZBWXRkGquLQaTnWtdDpX0D1dK79DasRVnI4OpfJ9T8fSfeoHf8nWSZS/5EN+/tvXXnv+/MqV6u/zM2eeK+7/v3BhGbdP+af+aeOvdoP+PTn2J+oCzkGgLwSkI9TPiv0+152+D1v28xwnW6y+mv5sl31PfULlqcLC7sn+yeZ9evr0ij18/npysIW/P72W9PWZWWUjZbv09z+/O3v+6YtHcZ+fnj1/8r2jfDpXnNMrrfL4WkeVqbJjXaVz6u8X///16quD8p/ZkORLdcdgEqWG6KAG2YZYuTGuI2mxfNejI/XPSWzEB/xPvvz96fLlimw9uXSpMgoyQiZk1XHRCPYl/9Q/bfzzQbKoX9C/Rwjsq/01xf/ol3AGAsMjoL6HdIX6fx7IsSyXfp3uedBd6ZW3InSBhK3YPcUH8hXPS0QoJ14xvc5zItaGeOVlUf9xIrYP/CFgoSXhfcL7J8VZKc2FXFgBNyHWkh8HK2JG3xej78nYFL1fMkKLsNf2R/3Txj/JWEm+LHs6lu7T/vubfRDfBecgMBQCOfGyXqgjYjnxUrqYRzpkZcaHbJ7/agiYCZGJUPR4+V7dUWmberzqynA89c+x3Bf+ELBFKx969I/68X551MyGR4bAytxx64hdE5IoY1AKfcifRuSOeb8WBIz69y//U8c/b1+xHfQhf9Q/9wpE3DkHgbEgUCJe0aba9qod60/XpTh7yZQ3EjHZvmNEbAMBMxHiuHn65EnEaGgCNppVEP0BZmpQqW3Ng+O8uINiHed0XjQgNbTlB5gxjVaVKuWrIsO/mMfRjqP++R5XJRzBf75ozEmQv7fTC9QHyKVgWXe7iu96V/JP/dPGXzIV5SvKYR/yR/31+Md3wTkI9I3AtWvXZjdu3JhpGwvZ0kSelvuA6beoHyc7lMjVUodIZ0S9oXtK4z6fF+5QWSpTW6QozRdffNH341EfCBQRWKzvUrzXa6RXPIwr3zhuubJN+kWK058bWfIoVNfRsOu+GnIepweK5ccHdF3xvuOof74NgPASJvoD/zmxP2nydy5teJmsURT96tyyvm/5p/5p4x/lKwphX/JH/e9H2DkHgVEg4PavPlvsb+U/zkRM6SL5cn8kT69rEzENFn+QSNu//vrXpWTEgUDvCJzSQhi91xoqvHXrVrjiFARAoBcEIglb7LfXS72uhPqNhDY4PDrv62xo/Pt6TuoBARAAgRwB679/u5ff4XpCCPzm2auzf/jJTwZ74tFMQRwMASoGgSkiMESnP+JM/RGN/s+Hxr//J6ZGEAABEJgjgP5DEkaAwGimII4AC34CCEwLARkhjwQO8eTUP238h5A56gQBEBgPAkPaH6HwgyvjwYJf0j8Cv/lN/3WGGvGABTA4BYHJITD0SCD1DytyQ+M/7NNTOwiAAAiAwEQRGHL6oSAfDQG7c+fOTCvhxKAPpvOPppVGaR2+/PLLKp8+sHTQudLpnkOpfN/TsXSf+sEf+Vv9aJ/2h/5B/2J/bDt3ZX9dHkcQ6B2BNAj1zTffHFsd8cGDBzP9xaAVFJXW4VlaWVFxT58+dVR1rjjdcyiV73v6Brh0n/r3jP8YBh+1CMeQf96DIq2CU+3tsG4TXqVNQlv9xb0eFJeWGXVRy70h0ko5y7hS+cub6aR0X3s2qWzvRaH01A/+kgHk72HVfNQ2aH/oH/Qv9qdSCOmf7K50Qhv767wcJ4aAN0Qe8pggV/8vTchf2SdM+4Yp7smlS8uNm3Wtvz9dvlzF6Z6uPz9zZpnmt6+9VsXp6A2f/+fLL1dxx/YhW+zDSf09479oZkNyn2oBxKF/gNWNO3Jxo9pD2whXRik+n59dR55//xvhgj/yR/sbbiNw2h/tr679RVvI+YQQGJJ4ue7Q/xLpMmkSWWpCrkS+lM5ETeRM1/rLiVos3/Xobbv/F+9T/57wD81raP4zG/oHBCyWu5av84LJ8yBDrr+2XgiN0ipfLJ/6jxAo4SODKcykIBTAH/mj/aF/0L/Yn13b3yNLxNlkEDAJGvK4ANv9n+ilyr1g68jVJi+YiVosvyJh1F8h0Af+ef9/aP4zqn3A9O3W1atXZ6nTv/x+Szuba4f09HKqndETgNV3YdqET5vx6b6CNtv7JM3pTEShOtfc9AsXLlT3kqGoNg4ulV8lWPwr3ad+8Ef+aH/oH/Sv7IOCvgvF/uze/srWyobvMtzWxvMNA/UPgH9YBfGrr75a+Zaq4Wtbm+yNN95Ye7+6uZC5lf7fD35Q3dJvUv/xzJkzs0uXLlVx+jbr66+/nr322muzixcvVnH379+vfrvSKK2+//rss8+qe5cvX56dPn26uq90OlfcMlB/BcW+8b+bOEPOL959993laxjkZGgGmI/0mAVHLxVeGLxQqXHghcMLWakLvLB4YaUP9LdrLwz25/gskb7sr7/D9rvdxTHvX6y7pv75d/i7wN1lrMO7uhc8X/5OytP3dnFcTvML9RyLCz9ypf0v8uzdC0b9SwT2hv+ihpXyU9zQ/GdUHrDUaCsvV85S8ULhhcILhRcqKU+84HhhZCbwQh2gF04j4I8ePare77b/vKJy6mM1Lor6B8A/eMC0kmBcObDxiysk1CqECleuNNjnK3hdV7wwWkU7/b69e8Gof/kG94H/26n0ullwQ3vARrMMvd+AphKqoyVF7OWOvRR4nJ6QRquqLJoK4uB0jjt//vwsT1cq3/l1LN13udR/ND0kx1XYGSfwn8sk8kf7y9tJSb+o7TiU7rtdoX/QP5aTXK4Ubzk5yfrXz9f1qM8XjE3XMrbJR/3D4q/pfS+//HLnV3hM/yZydO7cuaq8uNT8K6+8UsVpKqKD04mwKcTf4jhNT/QUxbicvcug/qz/vyX+H2Q84Ri+Bn6g43cGqre2Wn275Y6GiJiCWLGCr3VucqbvwBzkKVOI6ZzXSrlUvvPrWLrvMmK51D/fCwf8kT+3H9of+keyEPWkdSf6dz5gWLIvbj86lu4bw4jrIdofEUc/V8SkzbnkTJ2sLoH6h8VfJKVEStq8S5GvRt991RRabH9JLl9IaxOIODk8fvy4OtV3YA6RZDnOpM2ETR4+x8XynJ76C/3/rvgn8nY3OWEU6uzPxx9/bOgHOY6OgHn0Th17eRAUPLLnDp6ENKZTGhkpETeNQMX08qTJcFkpx3wuX/kdSvdjeUpH/eAf5UQygfzR/tA/6F/sT3f7GwmmdGrbsC15o/75gHdb3J1+W/xLhMRlNzluS95UR7Tr7h+q//dJuvdkseCGSJQ9X/Z6iVTpT14vx4mQKa2ey89mkibiprR5oP757KG8/98a/8QFxBfa9v/z97Hv61ERsHXEZhOJMkmKHhkL8zriFgGm/npiBf7rSTzy937VlGh/Rx5R9M/cmKJ/557Rkn3B/hwhoEFSd3qPYjefifQq76lTpzYnXpOC+ofF/+zZs7OXXnppzRsq3xKREcG5d+9eOUHD2FL79MCq+j9nNBMrHUskSisjKkSPmEmaV0osEbf406h/ff+zMf6JfCm0tb/xXfR2PvQqIMvlT9JJ6rw9Tw9eHR2fBL+Ka7IPVVLEzlbt9aWylN+hVL7v6Vi6T/3gLzlC/jbvA0f7Q/9Yn2oVW/Qv9qeN/U3ThCqZkdy0+VM+BeWJ57puE6h/APzD6oRdV0FUPq1smLrdz+O5ro+teBjqW95bCEnT/p/K1d+6TZabbqJc/QbqrxDYCf4LLJvan6H5z2g8YJvY/7ophHgf8D4kY1vtC6ejQtvRD+Rv/egT7W/+XYnlKhmL5Wg9+gf9I50jmXCwnOD9a+b9E26JrBm+RkfpbH8v3ijDhkTUPyz+nqa34TUtb8fvqZaRHU/a2P+bqY7fhimEfXi/ov2l/jL+/+Mf/3F2efH+2+rfjmKzfbahGeCCsDbyPilteuLqL9//pY/Rd+oHf+SP9icZQP88rFS3PMPCA/27f+/nIdufSpha/kubLFeyF71e8Vxyuc9A/TvAv+SRahj3+I03jnm9unrAmnhfJEsr9j/9zieXLlW/QXuF2aPWyvulZ02B+jfPfhNOdfh3tT9D858X0gMRQAAEQAAEQAAEQAAEQAAEmiCw+NaoSdK9pKH+CtZ2ftu9vInuhQ7NAMVqFTSinJ6i+stHlzfNI9d95dW8TwcxYsWt+3bHaXWkfvBH/mh/kgH0z6p3C/27/jti7M/29jfa4qbneKB24IFqCnYh3U7wb+jtsncpHnfpAdum//f5mTOVF0yeL/8+ecT0nZg8ZIrT92K61p+/HXNaQUv9w/Q/h+Y/s6F/QGzXTdyw6wS1qxvSv4H6N7uBwb9eUSB/+5+Ghfwhf3UDJbS/k93+bIebHndCAJpWVkhH/TsggCMhYHq92/T/RKw6T0NcyBb199//HJr/jIqAretcMQrLKKxt4DpFhRcUL7DlBC84swCYBXFyZoG43TY9QoB2QICagl1ItxP8R0TAtu1/ioR18oItsKX++sHFffX/IWBZw17XuV43nbDPj8HXNRRGYU/2KCzy1/8oVFQB4A/+Ik2SAwdP8UP/H/5WEH7nTY47IQBNKqpJQ/07IIAjImB6zdvan05esCBf1N+v/YOABeHT6Tpysy8WHH8C9fc/CgH+Rwggf8hf3RQ79B+zAKwp1nXUTvIsAD9fkyMEaAcEqAnQNWl2gv/ICNgu7G9rL1jAl/r7tf9DE7DRrYJ4/vz55X4g3uPDeyD4OnVQZmm5WR2W+z3p3PvxxHTOe+fOHSWp9u5JHZnqPKarImruu4yYnvrBXzLj/SZ0jvzN94OK7cRth/aH/lEbKel3xTuU7luGolyhfw9T/1oOOILAEAjsQv/8/ZUry5/uvc0eP35cxZ0+fXrmuKdPny7T+YT6h+3/+z30dhyaAQbyX51uM5Ww61SV+Buov/u+PuA/Xw2s7VQp5O8IAdof7S8Zv077iqF/Tr7+OdIEm8924oHZXE1tCurfgQduZB6wXdqf0sqHpX3DooBRf7/2b2j+M6pFOCSINqJtp1FYcJXfoek0DafXkfq7LSkM/nPFgfzR/qxP0D/18/mjfjde6F/sT5QFzieAwBYEbLmM+7ZlBJh33f/Twhy/fe215fL0pSXrQ/U7739OvX4N5skOO+TvFwJmZNLRnfguC1kYWJWhsG4ubSy/Srz4R/39jj5E7HUO/uCP9wPvT9TPImqSiaYDG+j/k2v/cnvA9QQQ2JY87SL/AuZ99T+871fR+6XfT/0VAvvCX1xAoVQ+BKyCZv7PJCqOjsoYywA3MaxNjXQsP1S/89GHTew71q1znh/vm2QmyifyT/tH/6H/p2D/cnvI9QQQ2AWB2raMBcx77X+l31j0fgUCRv399/8gYAvhL7FTRj8Z/VXnsymxbtJJiaPr0bwhf3jfJGtRPtA/6B/0Tz/6N+pizieEwLbkaRf5E9x92H9NB4zL1C+nUFJ/L/jn9l2tDAImFFJIq1pVnq51o/9KJxD1l7sVN3XSS+WrPIfS/dz7oLTUD/7IH+0P/bM6rQP9u/7bx5J9se3RsXR/SvYnYsH5hBDYBYHatowe219coj4SsL7a/9Trj/xCrWxoAvad1JkcRUgCWP0OL+WtC8d5GWLHKV7LdSokI1WlSx/aVdf6p/uPHj2a5XG6F8vXtYPrivcdR/3vGKYKW/BH/mh/6B8pBfQv9kf2ILe1be3v0sBwAgIDIOC+3r77f+du356lfZaOPSH1D9v/P/ZCeoo4JQbYU13Fam7dulWMJxIEQAAEQAAEQAAEQOBAESiQkd6f9JM0ObDvEJ+b+vtGf1nfu+++uzwf4mR0GzEPAQJ1ggAIgAAIgAAIgAAIgMDeERiCdMWHmnr9EYsBzyFgA4JP1SAAAiAAAiAAAiAAAhNDYOokaOjnH4G4jeYbsBFgwU8AARAAARAAARAAARDoA4Gpd8KHfv6p19+HjK+pYzQesDt37syuXbu28lP1QWT8KFI3lUZpHb788ssq7u7du46a6VzpdM+hVL7v6Vi6T/3gj/y9H5sJ7Q/9g/7F/ix1wqHY3+UDcQICIAACfSEw9DKMXnA1rQJTLfEel4mc0jK8PD/vP7X5tZswq60ojf5YBp1l0CUP3r+GZeBZBl7yoJBWJKx0hI4OJfviezqW7k/J/kYsOAcBEJgGAkPzn9nQP8Cv2R0JKX0HNkJlI1SRjU2dS91XOsmQgshJHVGJ8mU50xH5YyNmyUyUD/QP+gf9Mw39G20B5yAAAtNAYGj+MxoCptftjvQ6L9i6znXTjnosP4oZ9c+JTMQnHwUF/3pyh/yt90KU2hft7wiBEj60v9cbD67Q/mh/bk0lL2CpfTk9RxAAgekhMDQBG9U+YPp26+rVq9Xmnv5+68MPP5zduHEj7V33dvVtVxqRrL4Lu3nzZrX5o+4raLPkT9IHhcmTUZ0r/4ULF6p7iTRUGzeXyq8SLP6V7lM/+CN/tD/0D/pX9kFB34Vifw7P/srWqw+xy3BbG+82DNQP/shfv+1v6H3ARuUBE/8ujVIxCswocLJhjaYYSn4cuoyCIn94QSVreIE/cDOqpmXS/tA/TaZ4n2T96+/gJOu7+ls2ogYn1D//DnxX2KucNgH8p4c/HrBbt1I7OQp4ofAC4gXFC5wGXZarmOKFxguNFxovdCJ3e50Fo77Ho0ePjjojW5x5RedEABqXQv3gj/z12/6G9oCNZhl6aylNJZSilSB6uXkvBR7ds2m0osqiqSAOTue48+fPz/J0pfKdX8fSfZdL/Ufu4RxXYWecwH8uk8gf7S9vJyX9orbjULrvdoX+Qf9YTnK5UrzlBP3bXf8a365HDRz53XQtY5t81A/+yN+cG2zTjvrKO7qNmPXtljsaImIKnnvva8WZnKVpZrqsgkbKFWI657VQlsqvMi3+le67jFgu9c/3YgN/5M/th/aH/pEsRD1p3Yn+nXcKSvbF7UfH0n1jGHHF/uze/oi4Gtf4TtqcS841iNIlUD/4I39He/x2aUPbtL8u9W2bZ3QEzKN36tjLg6DgkT138GSkYjqlkZEScdMIUEwvT5oMl5VizOfyld+hdD+Wp3TUD/5RTiQTyB/tD/2D/sX+nFz7GwmudHrbsG3nmfrnA+5tcXd68N+OvExd/ixHfR5HRcDWEZtNJMokKXpk3EleR9wi2NRfT6zAfz2JR/7er5oS7e/II4r+mU8FQ//OPaMl+4L9OUKghI8HtvqwPxqkLQ3KHv3C8plIt/KeOnWqnKBhLPWDP/I3d7o0bDJVsl21vzZ17izt0KuAxFVqUufteXqw5zo6JMVbxTVZgSm9CGerVjFTWcrvUCrf93Qs3ad+8JccIX/tNrnWKoK0P/QP+hf7Yxtbsq++Nwb7m6YvVTpLeqvNn/IpKE8813WbQP3g30bunDbKXDxH/ja3v6H5z2g8YEOPflE/3i97LFJHIemuo2mFqRO5dgor3i+8X5IXy43OLUt4f/D+SB5K9kXxDqX7fXp/pl6/3oP0fJsgzPy9ept8dWmpH/zrZKMUj/zttv2VMN573NAM0CNEpdExjZ4mAJbeB6XVtf7S5spVVnkmdN2H94v6wR/5o/2hf9C/2J/Dsr9VZ6Llv7TJctX3iF6HeC49sc9A/eAvGYsyF8+Rv83tb2j+M7pl6JPQEEAABEAABEAABEAABEAABEDgMBEYmgF6hEgjignhondLnjCHdZ4yfXfiII+Yylv37Y7T6kj94I/80f4kA7l3A/2D/rWtwP7Uf6d9ku2v32+bIx4oPFCyF9HrFM91b58B+dte/obmP7Ohf0AU0HXGbR2R6nMa4jqi1sc0SOqvJ4rgzyI01icsAsIiKOoAbSLPlhcdsT/15GoK9jfKQpNzOsDbd4Cb4FyXBvzBf1sCPDT/GRUBW0cuNhlS3dfLOMmjcDx/Pbni/eOFsCFe11Gm/TMLwHLCLAhmgahPsI48Wla6HCEAEIBtCUAXuXMe5G97+YOAWZoWx3Wdq3WKFC9Yf4uRrCOKeKHwQrlJ44XCC6UOyqbBE8uLjuj/aXuhhn7/URY3ndMB3r4DvAnjdffBH/y3JcAQsKyFrevcbzLkeMHwAqpB4gXBC2K1ghcEL4h0wrrBO8uKjtifac9CiLKw6RwCAAHYlgBskrF195G/7eVvaAI2ulUQtRN4IlJJrmfLPTa0Q3y81nn62LGK8347uvB+THFvDue9c+dOlb5UfnVj8a9032XEcqkf/CUyyN/NZfOh/c33Q4t6wroD/YP+VUMp2ZdlA6q5bxmKcoX92Y/9ie+CcxAAARDYJwKjI2DefDKNXC9JljczNTETIO7QpCkLS3ycznHaqC5PVyp/WUA6Kd13udR/tFFijqswNE7gP5dJ5I/2l7eTkn5B/xwhUMLHegX9i/61pOTtSvGWk23sj8vnCAIgAAJ7R2BoF1zuYk1GttNiGv4GTPkdkiKuytLRoVS+7+lYut9kGhP1z79BA3/kz+2J9of+SQas+q7LMlHSr76nY+k++nfzNFLsz27sT5RFzkEABA4bgaH5z6hWQbQRkcF1aPohvw23ylBYN5c/lu96dKT+7gt5gP984AD5o/1Jl6B/6r8lQv8e2TfJigP2Z1j74/fAEQRAYBoIQMDCe3Ynvu0iCjZcyu/A6Duj74y+433A+4333zahZF98T8fSfbxv0/G+RVngHARA4PARgIAt3rFJVBwdxfvVbBlrdxzwvuB9UXPC+4L3RYMP+pMsKJT0a3Vj8a90H/2L/pUMNR3YPMn2J7YFzkEABKaBAARs8Z7Tqk4bv/1S0rqOxSYjUSo/iljpfj76Sf3gj/yVO/a0v/Xe95J+Qf8cIVDCB/276n3C/uzP/hxJImcgAAJTQWBoAvad1KEcRUgGuPodXspaF47zMryOU7yW81VIRrpKl6YaVdf6p/uPHj2a5XG6F8vXtYPrivcdR/3zbQCElTDRH/gjf5IH2h/6R/og17XoX+xPLhPSF9G+6trBtjbed1wf9te/gyMIgAAI9IXAKTHAvior1XPr1q1SNHEgAAIgAAIgAAIgAAIgAAIgsHME3n333Z2X2abA0e0D1ubHkxYEQAAEQAAEQAAEQAAEQAAEThICELCT9Lb4rSAAAiAAAiAAAiAAAiAAAicaAQjYiX59/HgQAAEQAAEQAAEQAAEQAIGThMBoCNidO3dm165dW8FOH+TGj3J1U2mU1uHLL7+s4u7eveuomc6VTvccSuX7no6l+9QP/sjf+7GZ0P7QP+hf7M9SJ2B/d9P/WALKCQiAwHQQGHoZRi93mVY8Yhn6tOfKuk2ohVWSzOov39+HZcBZBtxtKa0+VsmIjg6l9uV7Opbusww4y4BL33h/J8kJ+gf9KxnA/qzur7et/VXbIoAACPSLwND8Zzb0DzDcbAT6y6pzo06vAxuhshGqOjubjLvux44yGzGzEXMdUYr6xXpGR/Qv+lcyE+UD+9Of/YltkXMQAIF+EBia/4yGgAludyTXeYHWdS6bdlRj+fE1U/+8Ix/xyb0g4F/fuUf+1nshS+2L9neEQAkf2t+qFxL9g/6pG1w46fr3SBNwBgIg0AcCQxOwUe0Dpm+3rl69Wm3u6u+3Pvzww9mNGzdmSblW33Yl5Vt9F3bz5s1q80/dV9BmjZ988sksjeRW58p/4cKF6l4y2tXGwaXyqwSLf6X71A/+yB/tD/2D/pV9UNB3odgf7K82mt5l/0NlqQ+zy3D79u3GxVE/+E9N/obeB2xUHjAxXkaB8UIli7H2WzhGwRkFl4zoT7Kg4Cl0J30UHP2H/kP/TVP/+ztc67ZdHCvl2PAf9c/XIdgF7i6jIfRVMvDvH388YLduJVk9Cnih8ALiBcULnKbeLVcxxQuNFxovNF7oQ/dCq+/z6NGjo87QFmdeUTr17BuXQv3gPzX5G9oDNppl6K0lNJVQilaC4OXmvRR4dI+m0YIqi6aCODid486fPz/L05XKd34dS/ddLvUfTY/IcRV2xgn85zKJ/NH+8nZS0i9qOw6l+25X6B/0j+UklyvFW07QvydX//r9dj1q4Mqy0bWMbfJRP/hPWf7atp3vtM2w7/T6dssdDRExBc+997XiTM40D9vB87FjOue1UJTKd34dS/ddRiyX+ud7sYE/8uf2Q/ubf48a9YR1B/pnPmBW0q+WH/Qv9qckH25DsV0dov0VcfZzxTbR5lx6RoM4XQL1g/+U5a9Lm9k2z+gImEfv1LGXB0HBI3vu4ElJx3RKIyUt4qYRmJhenjQpbiulmM/lK79D6X4sT+moH/yjnEgmkD/aH/oH/Yv9wf7G/kKb/kckmLIpbcO2nWfqnw/4t8Xd6cF/PihvPNoeh5a/tr93F+lHRcDWEZtNJMpKL3pk3EleR9wiiNRfT6zAfz2JR/7er5oS7e/II4r+mU8FQ//OPaMl+4L9OUKghI8HtqZgfzRIXBoUPkKofCbSr7ynTp0qJ2gYS/3gP2X5a9hMdpts6FVA4ioxqfP2PD3dcx0dkuKt4rTKmcK6FfCSInK2ahU9laX8DqXyfU/H0n3qB3/JEfJH+5OOQP/Ur8CJ/sX+qI0oNN3EeZ56/n/q9jdNH6z6OrI3bf6UT0F54rmu2wTqB/82cue0Uebi+UmQv6H5z2g8YFMf/eL58b7ZY5I6Ikl3HU1rnMLoL/KP/CP/N6t2T/ufnv7Ti5eebxOkM/29fJt8dWmpH/zrZKMUf2jyV3rGvccNzQA9QtNk9EtpEyDVX77/Tx+jr9QP/sgf7U8ygP5Z3X8N/bt/7xf253Dtj95t25A2WT7m9drGA0H97RAA/5Mvf0Pzn9EtQ793xkkFIAACIAACIAACIAACIAACIDAUAkMzQI85rPu2Qt9hOazzlGneuYNGZBOma7/dcVodqb/+2w7wR/7cVmh/9d+pon/Qv24n2B/sb5v+h+WmzREPzMn3wLR533la3v/2739o/jMb+gdEoVrXuWMRBBZBkKysI8p9TIOi/nqiDv77n4aG/CF/6tjrT7KgINuoa9rfyW5/1cts8Y8O+PYd8BZwH0sK/icf/6H5z6gI2LrOBV4YvDDWgOuIOl4IvBCWE7wQeCHaeCGwP/XkFvu7f/trvdX0CAE4+QSg6bsupeP9b//+IWCZZK3rXOMFwwsmcVnXUWIU+GSPAtP+66c4ov/Qf+i/w9b/WXdo7SUd8O074GsB3nAT/E8+/hCwTMjXda4Zhdv/KBz4MwpcN8WJ9kf7s7peR5TxQuOFtpzghW7nhTZuTY4QgJNPAJq857o0vP/t3//QBGx0qyBqJ+7U0Ut9wNlyjwvt0B6vdZ6WW63ivHeMLt5///0qLu6N4bx37typ7pXKr24s/pXuu4xYLvWDv0QG+bu5bD60P/SPhCHqSetO9C/2R7JRsq+KdyjdtwxFuTpU+2scOIIACEwAgaEZYM7ut/mgWCP06ZWtXfmwVH78DaX7GtFVuU09AG2nClH/EQLg3/2DeuSf9o/+Q/9jf9pNVT2yPtstaLIL/Rt/y6ZzPCDbe0A2YbzuPviffPyH5j+jWoRDwm4l1nYaizvuTUlSLD82Muqfd2IjPk2mkYD/nDghf+2n6dH+jhBA/6B/RKLRv+2mcR6K/TnSBJyBAAjsGwEIWEDYSrTLQgruuKgMhXXfMsXyQ/VbLedL/Xgf8D7gfUD/oH+xP9jfLv2P2BfhHARAYP8IQMACxiYxjP5Nc/SP98/oP6P/eD/Q/+h/dwumNPvCz8wRBECgHwQgYAuc8X7x7Y8639E7qY6Y4kTMHNatvob3Ae+D5KTL6DP6B/2D/kH/DmV/bN84ggAI9IcABGyBdVrVqOpsrxv9VFIZSf2pk6XgjtOmTnqp/KqAxb/S/Xz0TUmpH/yRP9of+gf9K3uA/Wn27WvJvgo/h9L9Kdlf48ARBECgPwSGJmDfSZ3JUYSkgKvf4aWsdeE4L0PrOMVruVqFpKSrdMkzUl3rn+4/evRolsfpXixf1w6uK953HPXPtwEQVsJEf+CP/EkeaH/oH+mDXNeif7E/uUxIX0T7qmsH29p433FTsL/GgSMIgMB0EDglBjjk4966dWvI6qkbBEAABEAABEAABEAABEBgQgi8++67gz7t6DZiHhQNKgcBEAABEAABEAABEAABEACBPSIwuAdsj89G0SAAAiAAAiAAAiAAAiAAAiAwKgTwgI3qdfBjQAAEQAAEQAAEQAAEQAAEDhkBCNghv12eDQRAAARAAARAAARAAARAYFQIQMBG9Tr4MSAAAiAAAiAAAiAAAiAAAoeMAATskN8uzwYCIAACIAACIAACIAACIDAqBCBgo3od/BgQAAEQAAEQAAEQAAEQAIFDRgACdshvl2cDARAAARAAARAAARAAARAYFQIQsFG9Dn4MCIAACIAACIAACIAACIDAISMAATvkt8uzgQAIgAAIgAAIgAAIgAAIjAoBCNioXgc/BgRAAARAAARAAARAAARA4JARgIAd8tvl2UAABEAABEAABEAABEAABEaFAARsVK+DHwMCIAACIAACIAACIAACIHDICEDADvnt8mwgAAIgAAIgAAIgAAIgAAKjQgACNqrXwY8BARAAARAAARAAARAAARA4ZAQgYIf8dnk2EAABEAABEAABEAABEACBUSEAARvV6+DHgAAIgAAIgAAIgAAIgAAIHDICELBDfrs8GwiAAAiAAAiAAAiAAAiAwKgQgICN6nXwY0AABEAABEAABEAABEAABA4ZAQjYIb9dng0EQAAEQAAEQAAEQAAEQGBUCEDARvU6+DEgAAIgAAIgAAIgAAIgAAKHjAAE7JDfLs8GAiAAAiAAAiAAAiAAAiAwKgQgYKN6HfwYEAABEAABEAABEAABEACBQ0YAAnbIb5dnAwEQAAEQAAEQAAEQAAEQGBUCELBRvQ5+DAiAAAiAAAiAAAiAAAiAwCEjAAE75LfLs4EACIAACIAACIAACIAACIwKAQjYqF4HPwYEQAAEQAAEQAAEQAAEQOCQEYCAHfLb5dlAAARAAARAAARAAARAAARGhQAEbFSvgx8DAiAAAiAAAiAAAiAAAiBwyAhAwA757fJsIAACIAACIAACIAACIAACo0IAAjaq18GPAQEQAAEQAAEQAAEQAAEQOGQEIGCH/HZ5NhAAARAAARAAARAAARAAgVEhAAEb1evgx4AACIAACIAACIAACIAACBwyAv8HLsAQpHpdUUYAAAAASUVORK5CYII=",
+ "text/plain": [
+ "<PIL.Image.Image image mode=RGBA size=864x704>"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "The shield for shield_value = 1.0\n",
+ "Training with shield:\n"
+ ]
+ },
+ {
+ "data": {
+ "image/png": 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",
+ "text/plain": [
+ "<PIL.Image.Image image mode=RGBA size=864x704>"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "Using cpu device\n",
+ "Wrapping the env with a `Monitor` wrapper\n",
+ "Wrapping the env in a DummyVecEnv.\n",
+ "Wrapping the env in a VecTransposeImage.\n",
+ "truncated: {'reached_goal': False, 'ran_into_lava': False, 'opened_door': False, 'picked_up': False}\n",
+ "truncated: {'reached_goal': False, 'ran_into_lava': False, 'opened_door': False, 'picked_up': False}\n",
+ "truncated: {'reached_goal': False, 'ran_into_lava': False, 'opened_door': False, 'picked_up': False}\n",
+ "truncated: {'reached_goal': False, 'ran_into_lava': False, 'opened_door': False, 'picked_up': False}\n",
+ "truncated: {'reached_goal': False, 'ran_into_lava': False, 'opened_door': False, 'picked_up': False}\n",
+ "truncated: {'reached_goal': False, 'ran_into_lava': False, 'opened_door': False, 'picked_up': False}\n",
+ "truncated: {'reached_goal': False, 'ran_into_lava': False, 'opened_door': False, 'picked_up': False}\n",
+ "truncated: {'reached_goal': False, 'ran_into_lava': False, 'opened_door': False, 'picked_up': False}\n",
+ "truncated: {'reached_goal': False, 'ran_into_lava': False, 'opened_door': False, 'picked_up': False}\n",
+ "truncated: {'reached_goal': False, 'ran_into_lava': False, 'opened_door': False, 'picked_up': False}\n",
+ "-----------------------------------\n",
+ "| info/ | |\n",
+ "| no_shield_action | 0 |\n",
+ "| sum_opened_door | 0 |\n",
+ "| sum_picked_up | 0 |\n",
+ "| sum_ran_into_lava | 0 |\n",
+ "| sum_reached_goal | 0 |\n",
+ "| rollout/ | |\n",
+ "| ep_len_mean | 200 |\n",
+ "| ep_rew_mean | -2 |\n",
+ "| time/ | |\n",
+ "| fps | 63 |\n",
+ "| iterations | 1 |\n",
+ "| time_elapsed | 32 |\n",
+ "| total_timesteps | 2048 |\n",
+ "-----------------------------------\n"
+ ]
+ }
+ ],
+ "source": [
+ "GRID_TO_PRISM_BINARY=os.getenv(\"M2P_BINARY\")\n",
+ "\n",
+ "def mask_fn(env: gym.Env):\n",
+ " return env.create_action_mask()\n",
+ "\n",
+ "def nomask_fn(env: gym.Env):\n",
+ " return [1.0] * 7\n",
+ "\n",
+ "def main():\n",
+ " #env = \"MiniGrid-LavaSlipperyCliff-16x13-Slip10-Time-v0\"\n",
+ " env = \"MiniGrid-WindyCity2-v0\"\n",
+ "\n",
+ " formula = \"Pmax=? [G ! AgentIsOnLava]\"\n",
+ " value_for_training = 0.99\n",
+ " shield_comparison = \"absolute\"\n",
+ " shielding = ShieldingConfig.Training\n",
+ " \n",
+ " logger = Logger(\"/tmp\", output_formats=[HumanOutputFormat(sys.stdout)])\n",
+ " \n",
+ " env = gym.make(env, render_mode=\"rgb_array\")\n",
+ " image_env = RGBImgObsWrapper(env, TILE_PIXELS)\n",
+ " env = RGBImgObsWrapper(env, 8)\n",
+ " env = ImgObsWrapper(env)\n",
+ " env = MiniWrapper(env)\n",
+ "\n",
+ " \n",
+ " env.reset()\n",
+ " Image.fromarray(env.render()).show()\n",
+ " \n",
+ " shield_handlers = dict()\n",
+ " if shield_needed(shielding):\n",
+ " for value in [0.9, 0.95, 0.99, 1.0]:\n",
+ " shield_handler = MiniGridShieldHandler(GRID_TO_PRISM_BINARY, \"grid.txt\", \"grid.prism\", formula, shield_value=value, shield_comparison=shield_comparison, nocleanup=True, prism_file=None)\n",
+ " env = MiniGridSbShieldingWrapper(env, shield_handler=shield_handler, create_shield_at_reset=False)\n",
+ "\n",
+ "\n",
+ " shield_handlers[value] = shield_handler\n",
+ " if shield_needed(shielding):\n",
+ " for value in [0.9, 0.95, 0.99, 1.0]: \n",
+ " create_shield_overlay_image(image_env, shield_handlers[value].create_shield())\n",
+ " print(f\"The shield for shield_value = {value}\")\n",
+ "\n",
+ " if shielding == ShieldingConfig.Training:\n",
+ " env = MiniGridSbShieldingWrapper(env, shield_handler=shield_handlers[value_for_training], create_shield_at_reset=False)\n",
+ " env = ActionMasker(env, mask_fn)\n",
+ " print(\"Training with shield:\")\n",
+ " create_shield_overlay_image(image_env, shield_handlers[value_for_training].create_shield())\n",
+ " elif shielding == ShieldingConfig.Disabled:\n",
+ " env = ActionMasker(env, nomask_fn)\n",
+ " else:\n",
+ " assert(False) \n",
+ " model = MaskablePPO(\"CnnPolicy\", env, verbose=1, device=\"auto\")\n",
+ " model.set_logger(logger)\n",
+ " steps = 200\n",
+ "\n",
+ " model.learn(steps,callback=[InfoCallback()])\n",
+ "\n",
+ "\n",
+ "\n",
+ "if __name__ == '__main__':\n",
+ " print(\"Starting the training\")\n",
+ " main()"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "metadata": {},
+ "outputs": [],
+ "source": []
+ }
+ ],
+ "metadata": {
+ "kernelspec": {
+ "display_name": "Python 3 (ipykernel)",
+ "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": "3.10.12"
+ }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 4
+}
diff --git a/notebooks/SlipperyCliff.ipynb b/notebooks/SlipperyCliff.ipynb
deleted file mode 100644
index 79ca84d..0000000
--- a/notebooks/SlipperyCliff.ipynb
+++ /dev/null
@@ -1,523 +0,0 @@
-{
- "cells": [
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "## Example usage of Tempestpy"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 1,
- "metadata": {
- "vscode": {
- "languageId": "plaintext"
- }
- },
- "outputs": [
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "pygame 2.6.0 (SDL 2.28.4, Python 3.10.12)\n",
- "Hello from the pygame community. https://www.pygame.org/contribute.html\n"
- ]
- },
- {
- "name": "stderr",
- "output_type": "stream",
- "text": [
- "2024-09-24 12:42:32.571249: E external/local_xla/xla/stream_executor/cuda/cuda_fft.cc:485] Unable to register cuFFT factory: Attempting to register factory for plugin cuFFT when one has already been registered\n",
- "2024-09-24 12:42:32.588338: E external/local_xla/xla/stream_executor/cuda/cuda_dnn.cc:8454] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered\n",
- "2024-09-24 12:42:32.593115: E external/local_xla/xla/stream_executor/cuda/cuda_blas.cc:1452] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered\n",
- "2024-09-24 12:42:32.603726: I tensorflow/core/platform/cpu_feature_guard.cc:210] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations.\n",
- "To enable the following instructions: AVX2 FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags.\n",
- "2024-09-24 12:42:33.541399: W tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Could not find TensorRT\n",
- "error: XDG_RUNTIME_DIR not set in the environment.\n"
- ]
- }
- ],
- "source": [
- "from sb3_contrib import MaskablePPO\n",
- "from sb3_contrib.common.wrappers import ActionMasker\n",
- "from stable_baselines3.common.logger import Logger, CSVOutputFormat, TensorBoardOutputFormat, HumanOutputFormat\n",
- "\n",
- "import gymnasium as gym\n",
- "\n",
- "from minigrid.core.actions import Actions\n",
- "from minigrid.core.constants import TILE_PIXELS\n",
- "from minigrid.wrappers import RGBImgObsWrapper, ImgObsWrapper\n",
- "\n",
- "import tempfile, datetime, shutil\n",
- "\n",
- "import time\n",
- "import os\n",
- "\n",
- "from utils import MiniGridShieldHandler, create_log_dir, ShieldingConfig, MiniWrapper, expname, shield_needed, shielded_evaluation, create_shield_overlay_image\n",
- "from sb3utils import MiniGridSbShieldingWrapper, parse_sb3_arguments, ImageRecorderCallback, InfoCallback\n",
- "\n",
- "import os, sys\n",
- "from copy import deepcopy\n",
- "\n",
- "from PIL import Image"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 3,
- "metadata": {
- "vscode": {
- "languageId": "plaintext"
- }
- },
- "outputs": [
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "Starting the training\n"
- ]
- },
- {
- "data": {
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UZh3BI6jtzWjZ2Nrp1utvZ28cEQ6LGuBSqYqMoNKUtfT8XvL8Ap4aUZptLT1/BbR/E5vXo/Dt3rSW17NJYaoFDQ3iExE+wfofofwqtf6fpunJHP4q1yXUdv8AqbdxtVvT92v3j7nj1rrbyxtdRt2t7y3jniPVZFyKztL8LaPo8pmtLQed2kkJdlHYAnoO3FOnioxgk5S06afg94+moVMNKU20lr6/itpfgYdhp+m6ikk/hXXJdO3f663QblX1/dt90+449Ks6DH4dtNae2sppL/VCpaa8cmUj2L9B9B+NaeqeFtH1iUTXdoPO7yRkozDuCR1HbmtGzsbXTrdbezt44Ih0WNcClUxUZQaUpa+n4veX4BTw0ozTaWnr+C2j+JzevR+HbvWktr2aSw1QKGhvEJiJ9g/Q/Q/hVa/0/TdOSOfxVrkuo7f9TbuNqt6fu1+8fc8etdbeWNrqNu1veW8c8R6rIuRWdpfhbR9HlM1paDzu0khLso7AE9B24p08VGMEnKWnTT8HvH01CphpSm2ktfX8VtL8DDsNP03UUkn8K65Lp27/AF1ug3Kvr+7b7p9xx6VZ0GPw7aa09tZTSX+qFS0145MpHsX6D6D8a09U8LaPrEomu7Qed3kjJRmHcEjqO3NaNnY2unW629nbxwRDosa4FKpioyg0pS19Pxe8vwCnhpRmm0tPX8FtH8Tm9ej8O3etJbXs0lhqgUNDeITET7B+h+h/Cq1/p+m6ckc/irXJdR2/6m3cbVb0/dr94+549a628sbXUbdre8t454j1WRcis7S/C2j6PKZrS0HndpJCXZR2AJ6DtxTp4qMYJOUtOmn4PePpqFTDSlNtJa+v4raX4GHYafpuopJP4V1yXTt3+ut0G5V9f3bfdPuOPSrOgx+HbTWntrKaS/1QqWmvHJlI9i/QfQfjWnqnhbR9YlE13aDzu8kZKMw7gkdR25rRs7G1063W3s7eOCIdFjXApVMVGUGlKWvp+L3l+AU8NKM02lp6/gto/ic3r0fh271pLa9mksNUChobxCYifYP0P0P4VWv9P03Tkjn8Va5LqO3/AFNu42q3p+7X7x9zx611t5Y2uo27W95bxzxHqsi5FZ2l+FtH0eUzWloPO7SSEuyjsAT0HbinTxUYwScpadNPwe8fTUKmGlKbaS19fxW0vwMOw0/TdRSSfwrrkunbv9dboNyr6/u2+6fccelWdBj8O2mtPbWU0l/qhUtNeOTKR7F+g+g/GtPVPC2j6xKJru0Hnd5IyUZh3BI6jtzWjZ2Nrp1utvZ28cEQ6LGuBSqYqMoNKUtfT8XvL8Ap4aUZptLT1/BbR/E5vXo/Dt3rSW17NJYaoFDQ3iExE+wfofofwqtf6fpunJHP4q1yXUdv+pt3G1W9P3a/ePuePWutvLG11G3a3vLeOeI9VkXIrO0vwto+jyma0tB53aSQl2UdgCeg7cU6eKjGCTlLTpp+D3j6ahUw0pTbSWvr+K2l+Bh2Gn6bqKST+Fdcl07d/rrdBuVfX9233T7jj0qzoMfh201p7aymkv8AVCpaa8cmUj2L9B9B+NaeqeFtH1iUTXdoPO7yRkozDuCR1HbmtGzsbXTrdbezt44Ih0WNcClUxUZQaUpa+n4veX4BTw0ozTaWnr+C2j+JzevR+HbvWktr2aSw1QKGhvEJiJ9g/Q/Q/hVa/wBP03Tkjn8Va5LqO3/U27jaren7tfvH3PHrXW3lja6jbtb3lvHPEeqyLkVnaX4W0fR5TNaWg87tJIS7KOwBPQduKdPFRjBJylp00/B7x9NQqYaUptpLX1/FbS/Aw7DT9N1FJJ/CuuS6du/11ug3Kvr+7b7p9xx6VZ0GPw7aa09tZTSX+qFS0145MpHsX6D6D8a09U8LaPrEomu7Qed3kjJRmHcEjqO3NaNnY2unW629nbxwRDosa4FKpioyg0pS19Pxe8vwCnhpRmm0tPX8FtH8T581f/kNX/8A18Sf+hGqdXNX/wCQ1f8A/XxJ/wChGqdfeHxYUUUUAfS1FFFfmh+QBRRRQBxtFFFfpZ+vhRRRQAUUUUAFFFFAHmWqapqEer3qJf3Sos7hVWZgANx4HNVP7X1P/oI3f/f9v8aNX/5DV/8A9fEn/oRqnQBc/tfU/wDoI3f/AH/b/Gj+19T/AOgjd/8Af9v8ap0UAa+qapqEer3qJf3Sos7hVWZgANx4HNVP7X1P/oI3f/f9v8aNX/5DV/8A9fEn/oRqnQBc/tfU/wDoI3f/AH/b/Gj+19T/AOgjd/8Af9v8ap0UAfS9FYGo2FxPqkk+k60YL9EXzLWRhJEy9tydVz6iqctp4i1NGOrX8Gk2KD94LN/nkA6nefuj/Jr89jh4ySfOl99/u6/L8D7qVeSbXK391vv6fP8AE6uiuUitPEWmIp0m/g1axcfuxeP88YPQ7x94f5FXNOsLiDVI59W1oz37o3l2sbCOJV77U6tj1NEsPGKb50/vv93T5/iEa8m0uVr7rff1+X4G/RWBqNhcT6pJPpOtGC/RF8y1kYSRMvbcnVc+oqnLaeItTRjq1/BpNig/eCzf55AOp3n7o/yaI4eMknzpfff7uvy/AJV5Jtcrf3W+/p8/xOrorlIrTxFpiKdJv4NWsXH7sXj/ADxg9DvH3h/kVc06wuINUjn1bWjPfujeXaxsI4lXvtTq2PU0Sw8YpvnT++/3dPn+IRrybS5Wvut9/X5fgb9FYGo2FxPqkk+k60YL9EXzLWRhJEy9tydVz6iqctp4i1NGOrX8Gk2KD94LN/nkA6nefuj/ACaI4eMknzpfff7uvy/AJV5Jtcrf3W+/p8/xOrorlIrTxFpiKdJv4NWsXH7sXj/PGD0O8feH+RVzTrC4g1SOfVtaM9+6N5drGwjiVe+1OrY9TRLDxim+dP77/d0+f4hGvJtLla+6339fl+Bv0VgajYXE+qST6TrRgv0RfMtZGEkTL23J1XPqKpy2niLU0Y6tfwaTYoP3gs3+eQDqd5+6P8miOHjJJ86X33+7r8vwCVeSbXK391vv6fP8Tq6K5SK08RaYinSb+DVrFx+7F4/zxg9DvH3h/kVc06wuINUjn1bWjPfujeXaxsI4lXvtTq2PU0Sw8YpvnT++/wB3T5/iEa8m0uVr7rff1+X4G/RWBqNhcT6pJPpOtGC/RF8y1kYSRMvbcnVc+oqnLaeItTRjq1/BpNig/eCzf55AOp3n7o/yaI4eMknzpfff7uvy/AJV5Jtcrf3W+/p8/wATq6K5SK08RaYinSb+DVrFx+7F4/zxg9DvH3h/kVc06wuINUjn1bWjPfujeXaxsI4lXvtTq2PU0Sw8YpvnT++/3dPn+IRrybS5Wvut9/X5fgb9FYGo2FxPqkk+k60YL9EXzLWRhJEy9tydVz6iqctp4i1NGOrX8Gk2KD94LN/nkA6nefuj/Jojh4ySfOl99/u6/L8AlXkm1yt/db7+nz/E6uiuUitPEWmIp0m/g1axcfuxeP8APGD0O8feH+RVzTrC4g1SOfVtaM9+6N5drGwjiVe+1OrY9TRLDxim+dP77/d0+f4hGvJtLla+6339fl+Bv0VgajYXE+qST6TrRgv0RfMtZGEkTL23J1XPqKpy2niLU0Y6tfwaTYoP3gs3+eQDqd5+6P8AJojh4ySfOl99/u6/L8AlXkm1yt/db7+nz/E6uiuUitPEWmIp0m/g1axcfuxeP88YPQ7x94f5FXNOsLiDVI59W1oz37o3l2sbCOJV77U6tj1NEsPGKb50/vv93T5/iEa8m0uVr7rff1+X4G/RWBqNhcT6pJPpOtGC/RF8y1kYSRMvbcnVc+oqnLaeItTRjq1/BpNig/eCzf55AOp3n7o/yaI4eMknzpfff7uvy/AJV5Jtcrf3W+/p8/xOrorlIrTxFpiKdJv4NWsXH7sXj/PGD0O8feH+RVzTrC4g1SOfVtaM9+6N5drGwjiVe+1OrY9TRLDxim+dP77/AHdPn+IRrybS5Wvut9/X5fgb9FYGo2FxPqkk+k60YL9EXzLWRhJEy9tydVz6iqctp4i1NGOrX8Gk2KD94LN/nkA6nefuj/Jojh4ySfOl99/u6/L8AlXkm1yt/db7+nz/ABOrorlIrTxFpiKdJv4NWsXH7sXj/PGD0O8feH+RVzTrC4g1SOfVtaM9+6N5drGwjiVe+1OrY9TRLDxim+dP77/d0+f4hGvJtLla+6339fl+Bv0VgajYXE+qST6TrRgv0RfMtZGEkTL23J1XPqKpy2niLU0Y6tfwaTYoP3gs3+eQDqd5+6P8miOHjJJ86X33+7r8vwCVeSbXK391vv6fP8Tq6K5SK08RaYinSb+DVrFx+7F4/wA8YPQ7x94f5FXNOsLiDVI59W1oz37o3l2sbCOJV77U6tj1NEsPGKb50/vv93T5/iEa8m0uVr7rff1+X4Hj2qapqEer3qJf3Sos7hVWZgANx4HNVP7X1P8A6CN3/wB/2/xo1f8A5DV//wBfEn/oRqnX6EfClz+19T/6CN3/AN/2/wAaP7X1P/oI3f8A3/b/ABqnRQBr6pqmoR6veol/dKizuFVZmAA3Hgc1U/tfU/8AoI3f/f8Ab/GjV/8AkNX/AP18Sf8AoRqnQBc/tfU/+gjd/wDf9v8AGj+19T/6CN3/AN/2/wAap0UAeyUUUUAFFFFABRRRQAUUUUAeT6v/AMhq/wD+viT/ANCNU6uav/yGr/8A6+JP/QjVOgAooooAuav/AMhq/wD+viT/ANCNU6uav/yGr/8A6+JP/QjVOgAooooA9r16Pw7d60ltezSWGqBQ0N4hMRPsH6H6H8KrX+n6bpyRz+Ktcl1Hb/qbdxtVvT92v3j7nj1rrbyxtdRt2t7y3jniPVZFyKztL8LaPo8pmtLQed2kkJdlHYAnoO3FfCU8VGMEnKWnTT8HvH01PtKmGlKbaS19fxW0vwMOw0/TdRSSfwrrkunbv9dboNyr6/u2+6fccelWdBj8O2mtPbWU0l/qhUtNeOTKR7F+g+g/GtPVPC2j6xKJru0Hnd5IyUZh3BI6jtzWjZ2Nrp1utvZ28cEQ6LGuBSqYqMoNKUtfT8XvL8Ap4aUZptLT1/BbR/E5vXo/Dt3rSW17NJYaoFDQ3iExE+wfofofwqtf6fpunJHP4q1yXUdv+pt3G1W9P3a/ePuePWutvLG11G3a3vLeOeI9VkXIrO0vwto+jyma0tB53aSQl2UdgCeg7cU6eKjGCTlLTpp+D3j6ahUw0pTbSWvr+K2l+Bh2Gn6bqKST+Fdcl07d/rrdBuVfX9233T7jj0qzoMfh201p7aymkv8AVCpaa8cmUj2L9B9B+NaeqeFtH1iUTXdoPO7yRkozDuCR1HbmtGzsbXTrdbezt44Ih0WNcClUxUZQaUpa+n4veX4BTw0ozTaWnr+C2j+JzevR+HbvWktr2aSw1QKGhvEJiJ9g/Q/Q/hVa/wBP03Tkjn8Va5LqO3/U27jaren7tfvH3PHrXW3lja6jbtb3lvHPEeqyLkVnaX4W0fR5TNaWg87tJIS7KOwBPQduKdPFRjBJylp00/B7x9NQqYaUptpLX1/FbS/Aw7DT9N1FJJ/CuuS6du/11ug3Kvr+7b7p9xx6VZ0GPw7aa09tZTSX+qFS0145MpHsX6D6D8a09U8LaPrEomu7Qed3kjJRmHcEjqO3NaNnY2unW629nbxwRDosa4FKpioyg0pS19Pxe8vwCnhpRmm0tPX8FtH8Tm9ej8O3etJbXs0lhqgUNDeITET7B+h+h/Cq1/p+m6ckc/irXJdR2/6m3cbVb0/dr94+549a628sbXUbdre8t454j1WRcis7S/C2j6PKZrS0HndpJCXZR2AJ6DtxTp4qMYJOUtOmn4PePpqFTDSlNtJa+v4raX4GHYafpuopJP4V1yXTt3+ut0G5V9f3bfdPuOPSrOgx+HbTWntrKaS/1QqWmvHJlI9i/QfQfjWnqnhbR9YlE13aDzu8kZKMw7gkdR25rRs7G1063W3s7eOCIdFjXApVMVGUGlKWvp+L3l+AU8NKM02lp6/gto/ic3r0fh271pLa9mksNUChobxCYifYP0P0P4VWv9P03Tkjn8Va5LqO3/U27jaren7tfvH3PHrXW3lja6jbtb3lvHPEeqyLkVnaX4W0fR5TNaWg87tJIS7KOwBPQduKdPFRjBJylp00/B7x9NQqYaUptpLX1/FbS/Aw7DT9N1FJJ/CuuS6du/11ug3Kvr+7b7p9xx6VZ0GPw7aa09tZTSX+qFS0145MpHsX6D6D8a09U8LaPrEomu7Qed3kjJRmHcEjqO3NaNnY2unW629nbxwRDosa4FKpioyg0pS19Pxe8vwCnhpRmm0tPX8FtH8Tm9ej8O3etJbXs0lhqgUNDeITET7B+h+h/Cq1/p+m6ckc/irXJdR2/wCpt3G1W9P3a/ePuePWutvLG11G3a3vLeOeI9VkXIrO0vwto+jyma0tB53aSQl2UdgCeg7cU6eKjGCTlLTpp+D3j6ahUw0pTbSWvr+K2l+Bh2Gn6bqKST+Fdcl07d/rrdBuVfX9233T7jj0qzoMfh201p7aymkv9UKlprxyZSPYv0H0H41p6p4W0fWJRNd2g87vJGSjMO4JHUdua0bOxtdOt1t7O3jgiHRY1wKVTFRlBpSlr6fi95fgFPDSjNNpaev4LaP4nN69H4du9aS2vZpLDVAoaG8QmIn2D9D9D+FVr/T9N05I5/FWuS6jt/1Nu42q3p+7X7x9zx611t5Y2uo27W95bxzxHqsi5FZ2l+FtH0eUzWloPO7SSEuyjsAT0HbinTxUYwScpadNPwe8fTUKmGlKbaS19fxW0vwMOw0/TdRSSfwrrkunbv8AXW6Dcq+v7tvun3HHpVnQY/DtprT21lNJf6oVLTXjkykexfoPoPxrT1Twto+sSia7tB53eSMlGYdwSOo7c1o2dja6dbrb2dvHBEOixrgUqmKjKDSlLX0/F7y/AKeGlGabS09fwW0fxOb16Pw7d60ltezSWGqBQ0N4hMRPsH6H6H8KrX+n6bpyRz+Ktcl1Hb/qbdxtVvT92v3j7nj1rrbyxtdRt2t7y3jniPVZFyKztL8LaPo8pmtLQed2kkJdlHYAnoO3FOnioxgk5S06afg94+moVMNKU20lr6/itpfgYdhp+m6ikk/hXXJdO3f663QblX1/dt90+449Ks6DH4dtNae2sppL/VCpaa8cmUj2L9B9B+NaeqeFtH1iUTXdoPO7yRkozDuCR1HbmtGzsbXTrdbezt44Ih0WNcClUxUZQaUpa+n4veX4BTw0ozTaWnr+C2j+JzevR+HbvWktr2aSw1QKGhvEJiJ9g/Q/Q/hVa/0/TdOSOfxVrkuo7f8AU27jaren7tfvH3PHrXW3lja6jbtb3lvHPEeqyLkVnaX4W0fR5TNaWg87tJIS7KOwBPQduKdPFRjBJylp00/B7x9NQqYaUptpLX1/FbS/Aw7DT9N1FJJ/CuuS6du/11ug3Kvr+7b7p9xx6VZ0GPw7aa09tZTSX+qFS0145MpHsX6D6D8a09U8LaPrEomu7Qed3kjJRmHcEjqO3NaNnY2unW629nbxwRDosa4FKpioyg0pS19Pxe8vwCnhpRmm0tPX8FtH8Tm9ej8O3etJbXs0lhqgUNDeITET7B+h+h/Cq1/p+m6ckc/irXJdR2/6m3cbVb0/dr94+549a628sbXUbdre8t454j1WRcis7S/C2j6PKZrS0HndpJCXZR2AJ6DtxTp4qMYJOUtOmn4PePpqFTDSlNtJa+v4raX4GHYafpuopJP4V1yXTt3+ut0G5V9f3bfdPuOPSrOgx+HbTWntrKaS/wBUKlprxyZSPYv0H0H41p6p4W0fWJRNd2g87vJGSjMO4JHUdua0bOxtdOt1t7O3jgiHRY1wKVTFRlBpSlr6fi95fgFPDSjNNpaev4LaP4nz5q//ACGr/wD6+JP/AEI1Tq5q/wDyGr//AK+JP/QjVOvvD4sKKKKALmr/APIav/8Ar4k/9CNU6uav/wAhq/8A+viT/wBCNU6ACiiigD2SiiigAooooAKKKKACiiigDzLVNU1CPV71Ev7pUWdwqrMwAG48Dmqn9r6n/wBBG7/7/t/jRq//ACGr/wD6+JP/AEI1ToAuf2vqf/QRu/8Av+3+NH9r6n/0Ebv/AL/t/jVOigDX1TVNQj1e9RL+6VFncKqzMABuPA5qp/a+p/8AQRu/+/7f40av/wAhq/8A+viT/wBCNU6ALn9r6n/0Ebv/AL/t/jR/a+p/9BG7/wC/7f41TooA+l6KwNRsLifVJJ9J1owX6IvmWsjCSJl7bk6rn1FU5bTxFqaMdWv4NJsUH7wWb/PIB1O8/dH+TX57HDxkk+dL77/d1+X4H3Uq8k2uVv7rff0+f4nV0VykVp4i0xFOk38GrWLj92Lx/njB6HePvD/Iq5p1hcQapHPq2tGe/dG8u1jYRxKvfanVsepolh4xTfOn99/u6fP8QjXk2lytfdb7+vy/A36KwNRsLifVJJ9J1owX6IvmWsjCSJl7bk6rn1FU5bTxFqaMdWv4NJsUH7wWb/PIB1O8/dH+TRHDxkk+dL77/d1+X4BKvJNrlb+6339Pn+J1dFcpFaeItMRTpN/Bq1i4/di8f54weh3j7w/yKuadYXEGqRz6trRnv3RvLtY2EcSr32p1bHqaJYeMU3zp/ff7unz/ABCNeTaXK191vv6/L8DforA1GwuJ9Ukn0nWjBfoi+ZayMJImXtuTqufUVTltPEWpox1a/g0mxQfvBZv88gHU7z90f5NEcPGST50vvv8Ad1+X4BKvJNrlb+6339Pn+J1dFcpFaeItMRTpN/Bq1i4/di8f54weh3j7w/yKuadYXEGqRz6trRnv3RvLtY2EcSr32p1bHqaJYeMU3zp/ff7unz/EI15NpcrX3W+/r8vwN+isDUbC4n1SSfSdaMF+iL5lrIwkiZe25Oq59RVOW08RamjHVr+DSbFB+8Fm/wA8gHU7z90f5NEcPGST50vvv93X5fgEq8k2uVv7rff0+f4nV0VykVp4i0xFOk38GrWLj92Lx/njB6HePvD/ACKuadYXEGqRz6trRnv3RvLtY2EcSr32p1bHqaJYeMU3zp/ff7unz/EI15NpcrX3W+/r8vwN+isDUbC4n1SSfSdaMF+iL5lrIwkiZe25Oq59RVOW08RamjHVr+DSbFB+8Fm/zyAdTvP3R/k0Rw8ZJPnS++/3dfl+ASryTa5W/ut9/T5/idXRXKRWniLTEU6TfwatYuP3YvH+eMHod4+8P8irmnWFxBqkc+ra0Z790by7WNhHEq99qdWx6miWHjFN86f33+7p8/xCNeTaXK191vv6/L8DforA1GwuJ9Ukn0nWjBfoi+ZayMJImXtuTqufUVTltPEWpox1a/g0mxQfvBZv88gHU7z90f5NEcPGST50vvv93X5fgEq8k2uVv7rff0+f4nV0VykVp4i0xFOk38GrWLj92Lx/njB6HePvD/Iq5p1hcQapHPq2tGe/dG8u1jYRxKvfanVsepolh4xTfOn99/u6fP8AEI15NpcrX3W+/r8vwN+isDUbC4n1SSfSdaMF+iL5lrIwkiZe25Oq59RVOW08RamjHVr+DSbFB+8Fm/zyAdTvP3R/k0Rw8ZJPnS++/wB3X5fgEq8k2uVv7rff0+f4nV0VykVp4i0xFOk38GrWLj92Lx/njB6HePvD/Iq5p1hcQapHPq2tGe/dG8u1jYRxKvfanVsepolh4xTfOn99/u6fP8QjXk2lytfdb7+vy/A36KwNRsLifVJJ9J1owX6IvmWsjCSJl7bk6rn1FU5bTxFqaMdWv4NJsUH7wWb/ADyAdTvP3R/k0Rw8ZJPnS++/3dfl+ASryTa5W/ut9/T5/idXRXKRWniLTEU6TfwatYuP3YvH+eMHod4+8P8AIq5p1hcQapHPq2tGe/dG8u1jYRxKvfanVsepolh4xTfOn99/u6fP8QjXk2lytfdb7+vy/A36KwNRsLifVJJ9J1owX6IvmWsjCSJl7bk6rn1FU5bTxFqaMdWv4NJsUH7wWb/PIB1O8/dH+TRHDxkk+dL77/d1+X4BKvJNrlb+6339Pn+J1dFcpFaeItMRTpN/Bq1i4/di8f54weh3j7w/yKuadYXEGqRz6trRnv3RvLtY2EcSr32p1bHqaJYeMU3zp/ff7unz/EI15NpcrX3W+/r8vwN+isDUbC4n1SSfSdaMF+iL5lrIwkiZe25Oq59RVOW08RamjHVr+DSbFB+8Fm/zyAdTvP3R/k0Rw8ZJPnS++/3dfl+ASryTa5W/ut9/T5/idXRXKRWniLTEU6TfwatYuP3YvH+eMHod4+8P8irmnWFxBqkc+ra0Z790by7WNhHEq99qdWx6miWHjFN86f33+7p8/wAQjXk2lytfdb7+vy/A8e1TVNQj1e9RL+6VFncKqzMABuPA5qp/a+p/9BG7/wC/7f40av8A8hq//wCviT/0I1Tr9CPhS5/a+p/9BG7/AO/7f40f2vqf/QRu/wDv+3+NU6KANfVNU1CPV71Ev7pUWdwqrMwAG48Dmqn9r6n/ANBG7/7/ALf40av/AMhq/wD+viT/ANCNU6ALn9r6n/0Ebv8A7/t/jR/a+p/9BG7/AO/7f41TooA9kooooAKKKKACiiigAooooA8n1f8A5DV//wBfEn/oRqnVzV/+Q1f/APXxJ/6Eap0AFFFFAFzV/wDkNX//AF8Sf+hGqdXNX/5DV/8A9fEn/oRqnQAUUUUAe169H4du9aS2vZpLDVAoaG8QmIn2D9D9D+FVr/T9N05I5/FWuS6jt/1Nu42q3p+7X7x9zx611t5Y2uo27W95bxzxHqsi5FZ2l+FtH0eUzWloPO7SSEuyjsAT0HbivhKeKjGCTlLTpp+D3j6an2lTDSlNtJa+v4raX4GHYafpuopJP4V1yXTt3+ut0G5V9f3bfdPuOPSrOgx+HbTWntrKaS/1QqWmvHJlI9i/QfQfjWnqnhbR9YlE13aDzu8kZKMw7gkdR25rRs7G1063W3s7eOCIdFjXApVMVGUGlKWvp+L3l+AU8NKM02lp6/gto/ic3r0fh271pLa9mksNUChobxCYifYP0P0P4VWv9P03Tkjn8Va5LqO3/U27jaren7tfvH3PHrXW3lja6jbtb3lvHPEeqyLkVnaX4W0fR5TNaWg87tJIS7KOwBPQduKdPFRjBJylp00/B7x9NQqYaUptpLX1/FbS/Aw7DT9N1FJJ/CuuS6du/wBdboNyr6/u2+6fccelWdBj8O2mtPbWU0l/qhUtNeOTKR7F+g+g/GtPVPC2j6xKJru0Hnd5IyUZh3BI6jtzWjZ2Nrp1utvZ28cEQ6LGuBSqYqMoNKUtfT8XvL8Ap4aUZptLT1/BbR/E5vXo/Dt3rSW17NJYaoFDQ3iExE+wfofofwqtf6fpunJHP4q1yXUdv+pt3G1W9P3a/ePuePWutvLG11G3a3vLeOeI9VkXIrO0vwto+jyma0tB53aSQl2UdgCeg7cU6eKjGCTlLTpp+D3j6ahUw0pTbSWvr+K2l+Bh2Gn6bqKST+Fdcl07d/rrdBuVfX9233T7jj0qzoMfh201p7aymkv9UKlprxyZSPYv0H0H41p6p4W0fWJRNd2g87vJGSjMO4JHUdua0bOxtdOt1t7O3jgiHRY1wKVTFRlBpSlr6fi95fgFPDSjNNpaev4LaP4nN69H4du9aS2vZpLDVAoaG8QmIn2D9D9D+FVr/T9N05I5/FWuS6jt/wBTbuNqt6fu1+8fc8etdbeWNrqNu1veW8c8R6rIuRWdpfhbR9HlM1paDzu0khLso7AE9B24p08VGMEnKWnTT8HvH01CphpSm2ktfX8VtL8DDsNP03UUkn8K65Lp27/XW6Dcq+v7tvun3HHpVnQY/DtprT21lNJf6oVLTXjkykexfoPoPxrT1Twto+sSia7tB53eSMlGYdwSOo7c1o2dja6dbrb2dvHBEOixrgUqmKjKDSlLX0/F7y/AKeGlGabS09fwW0fxOb16Pw7d60ltezSWGqBQ0N4hMRPsH6H6H8KrX+n6bpyRz+Ktcl1Hb/qbdxtVvT92v3j7nj1rrbyxtdRt2t7y3jniPVZFyKztL8LaPo8pmtLQed2kkJdlHYAnoO3FOnioxgk5S06afg94+moVMNKU20lr6/itpfgYdhp+m6ikk/hXXJdO3f663QblX1/dt90+449Ks6DH4dtNae2sppL/AFQqWmvHJlI9i/QfQfjWnqnhbR9YlE13aDzu8kZKMw7gkdR25rRs7G1063W3s7eOCIdFjXApVMVGUGlKWvp+L3l+AU8NKM02lp6/gto/ic3r0fh271pLa9mksNUChobxCYifYP0P0P4VWv8AT9N05I5/FWuS6jt/1Nu42q3p+7X7x9zx611t5Y2uo27W95bxzxHqsi5FZ2l+FtH0eUzWloPO7SSEuyjsAT0HbinTxUYwScpadNPwe8fTUKmGlKbaS19fxW0vwMOw0/TdRSSfwrrkunbv9dboNyr6/u2+6fccelWdBj8O2mtPbWU0l/qhUtNeOTKR7F+g+g/GtPVPC2j6xKJru0Hnd5IyUZh3BI6jtzWjZ2Nrp1utvZ28cEQ6LGuBSqYqMoNKUtfT8XvL8Ap4aUZptLT1/BbR/E5vXo/Dt3rSW17NJYaoFDQ3iExE+wfofofwqtf6fpunJHP4q1yXUdv+pt3G1W9P3a/ePuePWutvLG11G3a3vLeOeI9VkXIrO0vwto+jyma0tB53aSQl2UdgCeg7cU6eKjGCTlLTpp+D3j6ahUw0pTbSWvr+K2l+Bh2Gn6bqKST+Fdcl07d/rrdBuVfX9233T7jj0qzoMfh201p7aymkv9UKlprxyZSPYv0H0H41p6p4W0fWJRNd2g87vJGSjMO4JHUdua0bOxtdOt1t7O3jgiHRY1wKVTFRlBpSlr6fi95fgFPDSjNNpaev4LaP4nN69H4du9aS2vZpLDVAoaG8QmIn2D9D9D+FVr/T9N05I5/FWuS6jt/1Nu42q3p+7X7x9zx611t5Y2uo27W95bxzxHqsi5FZ2l+FtH0eUzWloPO7SSEuyjsAT0HbinTxUYwScpadNPwe8fTUKmGlKbaS19fxW0vwMOw0/TdRSSfwrrkunbv9dboNyr6/u2+6fccelWdBj8O2mtPbWU0l/qhUtNeOTKR7F+g+g/GtPVPC2j6xKJru0Hnd5IyUZh3BI6jtzWjZ2Nrp1utvZ28cEQ6LGuBSqYqMoNKUtfT8XvL8Ap4aUZptLT1/BbR/E5vXo/Dt3rSW17NJYaoFDQ3iExE+wfofofwqtf6fpunJHP4q1yXUdv8AqbdxtVvT92v3j7nj1rrbyxtdRt2t7y3jniPVZFyKztL8LaPo8pmtLQed2kkJdlHYAnoO3FOnioxgk5S06afg94+moVMNKU20lr6/itpfgYdhp+m6ikk/hXXJdO3f663QblX1/dt90+449Ks6DH4dtNae2sppL/VCpaa8cmUj2L9B9B+NaeqeFtH1iUTXdoPO7yRkozDuCR1HbmtGzsbXTrdbezt44Ih0WNcClUxUZQaUpa+n4veX4BTw0ozTaWnr+C2j+JzevR+HbvWktr2aSw1QKGhvEJiJ9g/Q/Q/hVa/0/TdOSOfxVrkuo7f9TbuNqt6fu1+8fc8etdbeWNrqNu1veW8c8R6rIuRWdpfhbR9HlM1paDzu0khLso7AE9B24p08VGMEnKWnTT8HvH01CphpSm2ktfX8VtL8DDsNP03UUkn8K65Lp27/AF1ug3Kvr+7b7p9xx6VZ0GPw7aa09tZTSX+qFS0145MpHsX6D6D8a09U8LaPrEomu7Qed3kjJRmHcEjqO3NaNnY2unW629nbxwRDosa4FKpioyg0pS19Pxe8vwCnhpRmm0tPX8FtH8T581f/AJDV/wD9fEn/AKEap1c1f/kNX/8A18Sf+hGqdfeHxYUUUUAXNX/5DV//ANfEn/oRqnVzV/8AkNX/AP18Sf8AoRqnQAUUUUAeyUUUUAFFFFABRRRQAUUUUAeZapqmoR6veol/dKizuFVZmAA3Hgc1U/tfU/8AoI3f/f8Ab/GjV/8AkNX/AP18Sf8AoRqnQBc/tfU/+gjd/wDf9v8AGj+19T/6CN3/AN/2/wAap0UAa+qapqEer3qJf3Sos7hVWZgANx4HNVP7X1P/AKCN3/3/AG/xo1f/AJDV/wD9fEn/AKEap0AXP7X1P/oI3f8A3/b/ABo/tfU/+gjd/wDf9v8AGqdFAH0vRWBqNhcT6pJPpOtGC/RF8y1kYSRMvbcnVc+oqnLaeItTRjq1/BpNig/eCzf55AOp3n7o/wAmvz2OHjJJ86X33+7r8vwPupV5Jtcrf3W+/p8/xOrorlIrTxFpiKdJv4NWsXH7sXj/ADxg9DvH3h/kVc06wuINUjn1bWjPfujeXaxsI4lXvtTq2PU0Sw8YpvnT++/3dPn+IRrybS5Wvut9/X5fgb9FYGo2FxPqkk+k60YL9EXzLWRhJEy9tydVz6iqctp4i1NGOrX8Gk2KD94LN/nkA6nefuj/ACaI4eMknzpfff7uvy/AJV5Jtcrf3W+/p8/xOrorlIrTxFpiKdJv4NWsXH7sXj/PGD0O8feH+RVzTrC4g1SOfVtaM9+6N5drGwjiVe+1OrY9TRLDxim+dP77/d0+f4hGvJtLla+6339fl+Bv0VgajYXE+qST6TrRgv0RfMtZGEkTL23J1XPqKpy2niLU0Y6tfwaTYoP3gs3+eQDqd5+6P8miOHjJJ86X33+7r8vwCVeSbXK391vv6fP8Tq6K5SK08RaYinSb+DVrFx+7F4/zxg9DvH3h/kVc06wuINUjn1bWjPfujeXaxsI4lXvtTq2PU0Sw8YpvnT++/wB3T5/iEa8m0uVr7rff1+X4G/RWBqNhcT6pJPpOtGC/RF8y1kYSRMvbcnVc+oqnLaeItTRjq1/BpNig/eCzf55AOp3n7o/yaI4eMknzpfff7uvy/AJV5Jtcrf3W+/p8/wATq6K5SK08RaYinSb+DVrFx+7F4/zxg9DvH3h/kVc06wuINUjn1bWjPfujeXaxsI4lXvtTq2PU0Sw8YpvnT++/3dPn+IRrybS5Wvut9/X5fgb9FYGo2FxPqkk+k60YL9EXzLWRhJEy9tydVz6iqctp4i1NGOrX8Gk2KD94LN/nkA6nefuj/Jojh4ySfOl99/u6/L8AlXkm1yt/db7+nz/E6uiuUitPEWmIp0m/g1axcfuxeP8APGD0O8feH+RVzTrC4g1SOfVtaM9+6N5drGwjiVe+1OrY9TRLDxim+dP77/d0+f4hGvJtLla+6339fl+Bv0VgajYXE+qST6TrRgv0RfMtZGEkTL23J1XPqKpy2niLU0Y6tfwaTYoP3gs3+eQDqd5+6P8AJojh4ySfOl99/u6/L8AlXkm1yt/db7+nz/E6uiuUitPEWmIp0m/g1axcfuxeP88YPQ7x94f5FXNOsLiDVI59W1oz37o3l2sbCOJV77U6tj1NEsPGKb50/vv93T5/iEa8m0uVr7rff1+X4G/RWBqNhcT6pJPpOtGC/RF8y1kYSRMvbcnVc+oqnLaeItTRjq1/BpNig/eCzf55AOp3n7o/yaI4eMknzpfff7uvy/AJV5Jtcrf3W+/p8/xOrorlIrTxFpiKdJv4NWsXH7sXj/PGD0O8feH+RVzTrC4g1SOfVtaM9+6N5drGwjiVe+1OrY9TRLDxim+dP77/AHdPn+IRrybS5Wvut9/X5fgb9FYGo2FxPqkk+k60YL9EXzLWRhJEy9tydVz6iqctp4i1NGOrX8Gk2KD94LN/nkA6nefuj/Jojh4ySfOl99/u6/L8AlXkm1yt/db7+nz/ABOrorlIrTxFpiKdJv4NWsXH7sXj/PGD0O8feH+RVzTrC4g1SOfVtaM9+6N5drGwjiVe+1OrY9TRLDxim+dP77/d0+f4hGvJtLla+6339fl+Bv0VgajYXE+qST6TrRgv0RfMtZGEkTL23J1XPqKpy2niLU0Y6tfwaTYoP3gs3+eQDqd5+6P8miOHjJJ86X33+7r8vwCVeSbXK391vv6fP8Tq6K5SK08RaYinSb+DVrFx+7F4/wA8YPQ7x94f5FXNOsLiDVI59W1oz37o3l2sbCOJV77U6tj1NEsPGKb50/vv93T5/iEa8m0uVr7rff1+X4G/RWBqNhcT6pJPpOtGC/RF8y1kYSRMvbcnVc+oqnLaeItTRjq1/BpNig/eCzf55AOp3n7o/wAmiOHjJJ86X33+7r8vwCVeSbXK391vv6fP8Tq6K5SK08RaYinSb+DVrFx+7F4/zxg9DvH3h/kVc06wuINUjn1bWjPfujeXaxsI4lXvtTq2PU0Sw8YpvnT++/3dPn+IRrybS5Wvut9/X5fgePapqmoR6veol/dKizuFVZmAA3Hgc1U/tfU/+gjd/wDf9v8AGjV/+Q1f/wDXxJ/6Eap1+hHwpc/tfU/+gjd/9/2/xo/tfU/+gjd/9/2/xqnRQBr6pqmoR6veol/dKizuFVZmAA3Hgc1U/tfU/wDoI3f/AH/b/GjV/wDkNX//AF8Sf+hGqdAFz+19T/6CN3/3/b/Gj+19T/6CN3/3/b/GqdFAHslFFFABRRRQAUUUUAFFFFAHk+r/APIav/8Ar4k/9CNU6uav/wAhq/8A+viT/wBCNU6ACiiigC5q/wDyGr//AK+JP/QjVOrmr/8AIav/APr4k/8AQjVOgAooooA9r16Pw7d60ltezSWGqBQ0N4hMRPsH6H6H8KrX+n6bpyRz+Ktcl1Hb/qbdxtVvT92v3j7nj1rrbyxtdRt2t7y3jniPVZFyKztL8LaPo8pmtLQed2kkJdlHYAnoO3FfCU8VGMEnKWnTT8HvH01PtKmGlKbaS19fxW0vwMOw0/TdRSSfwrrkunbv9dboNyr6/u2+6fccelWdBj8O2mtPbWU0l/qhUtNeOTKR7F+g+g/GtPVPC2j6xKJru0Hnd5IyUZh3BI6jtzWjZ2Nrp1utvZ28cEQ6LGuBSqYqMoNKUtfT8XvL8Ap4aUZptLT1/BbR/E5vXo/Dt3rSW17NJYaoFDQ3iExE+wfofofwqtf6fpunJHP4q1yXUdv+pt3G1W9P3a/ePuePWutvLG11G3a3vLeOeI9VkXIrO0vwto+jyma0tB53aSQl2UdgCeg7cU6eKjGCTlLTpp+D3j6ahUw0pTbSWvr+K2l+Bh2Gn6bqKST+Fdcl07d/rrdBuVfX9233T7jj0qzoMfh201p7aymkv9UKlprxyZSPYv0H0H41p6p4W0fWJRNd2g87vJGSjMO4JHUdua0bOxtdOt1t7O3jgiHRY1wKVTFRlBpSlr6fi95fgFPDSjNNpaev4LaP4nN69H4du9aS2vZpLDVAoaG8QmIn2D9D9D+FVr/T9N05I5/FWuS6jt/1Nu42q3p+7X7x9zx611t5Y2uo27W95bxzxHqsi5FZ2l+FtH0eUzWloPO7SSEuyjsAT0HbinTxUYwScpadNPwe8fTUKmGlKbaS19fxW0vwMOw0/TdRSSfwrrkunbv9dboNyr6/u2+6fccelWdBj8O2mtPbWU0l/qhUtNeOTKR7F+g+g/GtPVPC2j6xKJru0Hnd5IyUZh3BI6jtzWjZ2Nrp1utvZ28cEQ6LGuBSqYqMoNKUtfT8XvL8Ap4aUZptLT1/BbR/E5vXo/Dt3rSW17NJYaoFDQ3iExE+wfofofwqtf6fpunJHP4q1yXUdv8AqbdxtVvT92v3j7nj1rrbyxtdRt2t7y3jniPVZFyKztL8LaPo8pmtLQed2kkJdlHYAnoO3FOnioxgk5S06afg94+moVMNKU20lr6/itpfgYdhp+m6ikk/hXXJdO3f663QblX1/dt90+449Ks6DH4dtNae2sppL/VCpaa8cmUj2L9B9B+NaeqeFtH1iUTXdoPO7yRkozDuCR1HbmtGzsbXTrdbezt44Ih0WNcClUxUZQaUpa+n4veX4BTw0ozTaWnr+C2j+JzevR+HbvWktr2aSw1QKGhvEJiJ9g/Q/Q/hVa/0/TdOSOfxVrkuo7f9TbuNqt6fu1+8fc8etdbeWNrqNu1veW8c8R6rIuRWdpfhbR9HlM1paDzu0khLso7AE9B24p08VGMEnKWnTT8HvH01CphpSm2ktfX8VtL8DDsNP03UUkn8K65Lp27/AF1ug3Kvr+7b7p9xx6VZ0GPw7aa09tZTSX+qFS0145MpHsX6D6D8a09U8LaPrEomu7Qed3kjJRmHcEjqO3NaNnY2unW629nbxwRDosa4FKpioyg0pS19Pxe8vwCnhpRmm0tPX8FtH8Tm9ej8O3etJbXs0lhqgUNDeITET7B+h+h/Cq1/p+m6ckc/irXJdR2/6m3cbVb0/dr94+549a628sbXUbdre8t454j1WRcis7S/C2j6PKZrS0HndpJCXZR2AJ6DtxTp4qMYJOUtOmn4PePpqFTDSlNtJa+v4raX4GHYafpuopJP4V1yXTt3+ut0G5V9f3bfdPuOPSrOgx+HbTWntrKaS/1QqWmvHJlI9i/QfQfjWnqnhbR9YlE13aDzu8kZKMw7gkdR25rRs7G1063W3s7eOCIdFjXApVMVGUGlKWvp+L3l+AU8NKM02lp6/gto/ic3r0fh271pLa9mksNUChobxCYifYP0P0P4VWv9P03Tkjn8Va5LqO3/AFNu42q3p+7X7x9zx611t5Y2uo27W95bxzxHqsi5FZ2l+FtH0eUzWloPO7SSEuyjsAT0HbinTxUYwScpadNPwe8fTUKmGlKbaS19fxW0vwMOw0/TdRSSfwrrkunbv9dboNyr6/u2+6fccelWdBj8O2mtPbWU0l/qhUtNeOTKR7F+g+g/GtPVPC2j6xKJru0Hnd5IyUZh3BI6jtzWjZ2Nrp1utvZ28cEQ6LGuBSqYqMoNKUtfT8XvL8Ap4aUZptLT1/BbR/E5vXo/Dt3rSW17NJYaoFDQ3iExE+wfofofwqtf6fpunJHP4q1yXUdv+pt3G1W9P3a/ePuePWutvLG11G3a3vLeOeI9VkXIrO0vwto+jyma0tB53aSQl2UdgCeg7cU6eKjGCTlLTpp+D3j6ahUw0pTbSWvr+K2l+Bh2Gn6bqKST+Fdcl07d/rrdBuVfX9233T7jj0qzoMfh201p7aymkv8AVCpaa8cmUj2L9B9B+NaeqeFtH1iUTXdoPO7yRkozDuCR1HbmtGzsbXTrdbezt44Ih0WNcClUxUZQaUpa+n4veX4BTw0ozTaWnr+C2j+JzevR+HbvWktr2aSw1QKGhvEJiJ9g/Q/Q/hVa/wBP03Tkjn8Va5LqO3/U27jaren7tfvH3PHrXW3lja6jbtb3lvHPEeqyLkVnaX4W0fR5TNaWg87tJIS7KOwBPQduKdPFRjBJylp00/B7x9NQqYaUptpLX1/FbS/Aw7DT9N1FJJ/CuuS6du/11ug3Kvr+7b7p9xx6VZ0GPw7aa09tZTSX+qFS0145MpHsX6D6D8a09U8LaPrEomu7Qed3kjJRmHcEjqO3NaNnY2unW629nbxwRDosa4FKpioyg0pS19Pxe8vwCnhpRmm0tPX8FtH8Tm9ej8O3etJbXs0lhqgUNDeITET7B+h+h/Cq1/p+m6ckc/irXJdR2/6m3cbVb0/dr94+549a628sbXUbdre8t454j1WRcis7S/C2j6PKZrS0HndpJCXZR2AJ6DtxTp4qMYJOUtOmn4PePpqFTDSlNtJa+v4raX4GHYafpuopJP4V1yXTt3+ut0G5V9f3bfdPuOPSrOgx+HbTWntrKaS/1QqWmvHJlI9i/QfQfjWnqnhbR9YlE13aDzu8kZKMw7gkdR25rRs7G1063W3s7eOCIdFjXApVMVGUGlKWvp+L3l+AU8NKM02lp6/gto/ifPmr/wDIav8A/r4k/wDQjVOrmr/8hq//AOviT/0I1Tr7w+LCiiigC5q//Iav/wDr4k/9CNU6uav/AMhq/wD+viT/ANCNU6ACiiigD2SiiigAooooAKKKKACiiigDzLVNU1CPV71Ev7pUWdwqrMwAG48Dmqn9r6n/ANBG7/7/ALf40av/AMhq/wD+viT/ANCNU6ALn9r6n/0Ebv8A7/t/jR/a+p/9BG7/AO/7f41TooA19U1TUI9XvUS/ulRZ3CqszAAbjwOaqf2vqf8A0Ebv/v8At/jRq/8AyGr/AP6+JP8A0I1ToAuf2vqf/QRu/wDv+3+NH9r6n/0Ebv8A7/t/jVOigDWmaQHh1jTu561DGxz+4nLHuknf6VJKoM2ViLvjq33RTHDMMyIky/3o+q1+lYqVR15STejevvafNWS87Rmv5mccbWEkY5/fzlT2SPt9amhaQnl1kTs461EgZRmNEhX+9J1anxKBNloij46r900YWVT28ZNvVrX3tfm7p+V4wX8rCVrDpmkB4dY07uetQxsc/uJyx7pJ3+lSSqDNlYi746t90UxwzDMiJMv96PqtGKlUdeUk3o3r72nzVkvO0Zr+ZhG1hJGOf385U9kj7fWpoWkJ5dZE7OOtRIGUZjRIV/vSdWp8SgTZaIo+Oq/dNGFlU9vGTb1a197X5u6fleMF/Kwlaw6ZpAeHWNO7nrUMbHP7icse6Sd/pUkqgzZWIu+OrfdFMcMwzIiTL/ej6rRipVHXlJN6N6+9p81ZLztGa/mYRtYSRjn9/OVPZI+31qaFpCeXWROzjrUSBlGY0SFf70nVqfEoE2WiKPjqv3TRhZVPbxk29Wtfe1+bun5XjBfysJWsOmaQHh1jTu561DGxz+4nLHuknf6VJKoM2ViLvjq33RTHDMMyIky/3o+q0YqVR15STejevvafNWS87Rmv5mEbWEkY5/fzlT2SPt9amhaQnl1kTs461EgZRmNEhX+9J1anxKBNloij46r900YWVT28ZNvVrX3tfm7p+V4wX8rCVrDpmkB4dY07uetQxsc/uJyx7pJ3+lSSqDNlYi746t90UxwzDMiJMv8Aej6rRipVHXlJN6N6+9p81ZLztGa/mYRtYSRjn9/OVPZI+31qaFpCeXWROzjrUSBlGY0SFf70nVqfEoE2WiKPjqv3TRhZVPbxk29Wtfe1+bun5XjBfysJWsOmaQHh1jTu561DGxz+4nLHuknf6VJKoM2ViLvjq33RTHDMMyIky/3o+q0YqVR15STejevvafNWS87Rmv5mEbWEkY5/fzlT2SPt9amhaQnl1kTs461EgZRmNEhX+9J1anxKBNloij46r900YWVT28ZNvVrX3tfm7p+V4wX8rCVrDpmkB4dY07uetQxsc/uJyx7pJ3+lSSqDNlYi746t90UxwzDMiJMv96PqtGKlUdeUk3o3r72nzVkvO0Zr+ZhG1hJGOf385U9kj7fWpoWkJ5dZE7OOtRIGUZjRIV/vSdWp8SgTZaIo+Oq/dNGFlU9vGTb1a197X5u6fleMF/Kwlaw6ZpAeHWNO7nrUMbHP7icse6Sd/pUkqgzZWIu+OrfdFMcMwzIiTL/ej6rRipVHXlJN6N6+9p81ZLztGa/mYRtYSRjn9/OVPZI+31qaFpCeXWROzjrUSBlGY0SFf70nVqfEoE2WiKPjqv3TRhZVPbxk29Wtfe1+bun5XjBfysJWsOmaQHh1jTu561DGxz+4nLHuknf6VJKoM2ViLvjq33RTHDMMyIky/wB6PqtGKlUdeUk3o3r72nzVkvO0Zr+ZhG1hJGOf385U9kj7fWpoWkJ5dZE7OOtRIGUZjRIV/vSdWp8SgTZaIo+Oq/dNGFlU9vGTb1a197X5u6fleMF/Kwlaw6ZpAeHWNO7nrUMbHP7icse6Sd/pUkqgzZWIu+OrfdFMcMwzIiTL/ej6rRipVHXlJN6N6+9p81ZLztGa/mYRtYSRjn9/OVPZI+31qaFpCeXWROzjrUSBlGY0SFf70nVqfEoE2WiKPjqv3TRhZVPbxk29Wtfe1+bun5XjBfysJWsP1TVNQj1e9RL+6VFncKqzMABuPA5qp/a+p/8AQRu/+/7f40av/wAhq/8A+viT/wBCNU6/NTsLn9r6n/0Ebv8A7/t/jR/a+p/9BG7/AO/7f41TooA19U1TUI9XvUS/ulRZ3CqszAAbjwOaqf2vqf8A0Ebv/v8At/jRq/8AyGr/AP6+JP8A0I1ToAuf2vqf/QRu/wDv+3+NH9r6n/0Ebv8A7/t/jVOigD2SiiigAooooAKKKKACiiigDyfV/wDkNX//AF8Sf+hGqdXNX/5DV/8A9fEn/oRqnQAUUUUAXNX/AOQ1f/8AXxJ/6Eap1c1f/kNX/wD18Sf+hGqdABRRRQBp3BXfteRmHaJOpqPCqQSrW7dmHIP1qxIkrSHZtQEcvjJNNMMqD93JvB6rJzmv0zE4WpOtOooNq+9vyu+fT+64pdEzjUla1yHCsSQrXDd2PAH0qS3K79qSMo7xP1FOEMrj95JsA6LHxinRpKsg37XAHD4wRRhsLUhVhUcGlfe352fPr/eck+qQSkrWuR3BXfteRmHaJOpqPCqQSrW7dmHIP1qxIkrSHZtQEcvjJNNMMqD93JvB6rJzmjE4WpOtOooNq+9vyu+fT+64pdEwUla1yHCsSQrXDd2PAH0qS3K79qSMo7xP1FOEMrj95JsA6LHxinRpKsg37XAHD4wRRhsLUhVhUcGlfe352fPr/eck+qQSkrWuR3BXfteRmHaJOpqPCqQSrW7dmHIP1qxIkrSHZtQEcvjJNNMMqD93JvB6rJzmjE4WpOtOooNq+9vyu+fT+64pdEwUla1yHCsSQrXDd2PAH0qS3K79qSMo7xP1FOEMrj95JsA6LHxinRpKsg37XAHD4wRRhsLUhVhUcGlfe352fPr/AHnJPqkEpK1rkdwV37XkZh2iTqajwqkEq1u3ZhyD9asSJK0h2bUBHL4yTTTDKg/dybweqyc5oxOFqTrTqKDavvb8rvn0/uuKXRMFJWtchwrEkK1w3djwB9Kktyu/akjKO8T9RThDK4/eSbAOix8Yp0aSrIN+1wBw+MEUYbC1IVYVHBpX3t+dnz6/3nJPqkEpK1rkdwV37XkZh2iTqajwqkEq1u3ZhyD9asSJK0h2bUBHL4yTTTDKg/dybweqyc5oxOFqTrTqKDavvb8rvn0/uuKXRMFJWtchwrEkK1w3djwB9Kktyu/akjKO8T9RThDK4/eSbAOix8Yp0aSrIN+1wBw+MEUYbC1IVYVHBpX3t+dnz6/3nJPqkEpK1rkdwV37XkZh2iTqajwqkEq1u3ZhyD9asSJK0h2bUBHL4yTTTDKg/dybweqyc5oxOFqTrTqKDavvb8rvn0/uuKXRMFJWtchwrEkK1w3djwB9Kktyu/akjKO8T9RThDK4/eSbAOix8Yp0aSrIN+1wBw+MEUYbC1IVYVHBpX3t+dnz6/3nJPqkEpK1rkdwV37XkZh2iTqajwqkEq1u3ZhyD9asSJK0h2bUBHL4yTTTDKg/dybweqyc5oxOFqTrTqKDavvb8rvn0/uuKXRMFJWtchwrEkK1w3djwB9Kktyu/akjKO8T9RThDK4/eSbAOix8Yp0aSrIN+1wBw+MEUYbC1IVYVHBpX3t+dnz6/wB5yT6pBKSta5HcFd+15GYdok6mo8KpBKtbt2Ycg/WrEiStIdm1ARy+Mk00wyoP3cm8HqsnOaMThak606ig2r72/K759P7ril0TBSVrXIcKxJCtcN3Y8AfSpLcrv2pIyjvE/UU4QyuP3kmwDosfGKdGkqyDftcAcPjBFGGwtSFWFRwaV97fnZ8+v95yT6pBKSta5HcFd+15GYdok6mo8KpBKtbt2Ycg/WrEiStIdm1ARy+Mk00wyoP3cm8HqsnOaMThak606ig2r72/K759P7ril0TBSVrXIcKxJCtcN3Y8AfSpLcrv2pIyjvE/UU4QyuP3kmwDosfGKdGkqyDftcAcPjBFGGwtSFWFRwaV97fnZ8+v95yT6pBKSta5HcFd+15GYdok6mo8KpBKtbt2Ycg/WrEiStIdm1ARy+Mk00wyoP3cm8HqsnOaMThak606ig2r72/K759P7ril0TBSVrXIcKxJCtcN3Y8AfSpLcrv2pIyjvE/UU4QyuP3kmwDosfGKdGkqyDftcAcPjBFGGwtSFWFRwaV97fnZ8+v95yT6pBKSta5U1f8A5DV//wBfEn/oRqnVzV/+Q1f/APXxJ/6Eap1+ZnYFFFFAFzV/+Q1f/wDXxJ/6Eap1c1f/AJDV/wD9fEn/AKEap0AFFFFAHslFFFABRRRQAUUUUAFFFFAHmWqapqEer3qJf3Sos7hVWZgANx4HNVP7X1P/AKCN3/3/AG/xo1f/AJDV/wD9fEn/AKEap0AXP7X1P/oI3f8A3/b/ABo/tfU/+gjd/wDf9v8AGqdFAGvqmqahHq96iX90qLO4VVmYADceBzVT+19T/wCgjd/9/wBv8aNX/wCQ1f8A/XxJ/wChGqdAFz+19T/6CN3/AN/2/wAaP7X1P/oI3f8A3/b/ABqnRQBrTNIDw6xp3c9ahjY5/cTlj3STv9KklUGbKxF3x1b7opjhmGZESZf70fVa/SsVKo68pJvRvX3tPmrJedozX8zOONrCSMc/v5yp7JH2+tTQtITy6yJ2cdaiQMozGiQr/ek6tT4lAmy0RR8dV+6aMLKp7eMm3q1r72vzd0/K8YL+VhK1h0zSA8Osad3PWoY2Of3E5Y90k7/SpJVBmysRd8dW+6KY4ZhmREmX+9H1WjFSqOvKSb0b197T5qyXnaM1/MwjawkjHP7+cqeyR9vrU0LSE8usidnHWokDKMxokK/3pOrU+JQJstEUfHVfumjCyqe3jJt6ta+9r83dPyvGC/lYStYdM0gPDrGndz1qGNjn9xOWPdJO/wBKklUGbKxF3x1b7opjhmGZESZf70fVaMVKo68pJvRvX3tPmrJedozX8zCNrCSMc/v5yp7JH2+tTQtITy6yJ2cdaiQMozGiQr/ek6tT4lAmy0RR8dV+6aMLKp7eMm3q1r72vzd0/K8YL+VhK1h0zSA8Osad3PWoY2Of3E5Y90k7/SpJVBmysRd8dW+6KY4ZhmREmX+9H1WjFSqOvKSb0b197T5qyXnaM1/MwjawkjHP7+cqeyR9vrU0LSE8usidnHWokDKMxokK/wB6Tq1PiUCbLRFHx1X7powsqnt4yberWvva/N3T8rxgv5WErWHTNIDw6xp3c9ahjY5/cTlj3STv9KklUGbKxF3x1b7opjhmGZESZf70fVaMVKo68pJvRvX3tPmrJedozX8zCNrCSMc/v5yp7JH2+tTQtITy6yJ2cdaiQMozGiQr/ek6tT4lAmy0RR8dV+6aMLKp7eMm3q1r72vzd0/K8YL+VhK1h0zSA8Osad3PWoY2Of3E5Y90k7/SpJVBmysRd8dW+6KY4ZhmREmX+9H1WjFSqOvKSb0b197T5qyXnaM1/MwjawkjHP7+cqeyR9vrU0LSE8usidnHWokDKMxokK/3pOrU+JQJstEUfHVfumjCyqe3jJt6ta+9r83dPyvGC/lYStYdM0gPDrGndz1qGNjn9xOWPdJO/wBKklUGbKxF3x1b7opjhmGZESZf70fVaMVKo68pJvRvX3tPmrJedozX8zCNrCSMc/v5yp7JH2+tTQtITy6yJ2cdaiQMozGiQr/ek6tT4lAmy0RR8dV+6aMLKp7eMm3q1r72vzd0/K8YL+VhK1h0zSA8Osad3PWoY2Of3E5Y90k7/SpJVBmysRd8dW+6KY4ZhmREmX+9H1WjFSqOvKSb0b197T5qyXnaM1/MwjawkjHP7+cqeyR9vrU0LSE8usidnHWokDKMxokK/wB6Tq1PiUCbLRFHx1X7powsqnt4yberWvva/N3T8rxgv5WErWHTNIDw6xp3c9ahjY5/cTlj3STv9KklUGbKxF3x1b7opjhmGZESZf70fVaMVKo68pJvRvX3tPmrJedozX8zCNrCSMc/v5yp7JH2+tTQtITy6yJ2cdaiQMozGiQr/ek6tT4lAmy0RR8dV+6aMLKp7eMm3q1r72vzd0/K8YL+VhK1h0zSA8Osad3PWoY2Of3E5Y90k7/SpJVBmysRd8dW+6KY4ZhmREmX+9H1WjFSqOvKSb0b197T5qyXnaM1/MwjawkjHP7+cqeyR9vrU0LSE8usidnHWokDKMxokK/3pOrU+JQJstEUfHVfumjCyqe3jJt6ta+9r83dPyvGC/lYStYfqmqahHq96iX90qLO4VVmYADceBzVT+19T/6CN3/3/b/GjV/+Q1f/APXxJ/6Eap1+anYXP7X1P/oI3f8A3/b/ABo/tfU/+gjd/wDf9v8AGqdFAG5qF3q7anqH2e6vDFFO4IjlbCjcccA9OKz/AO19T/6CN3/3/b/Gum0j/kNa3/18H/0J6uXmkWV9kywgOf404P8A9f8AGuKpjFTqOElofT4ThueMwUMTRn7zvo9tG1v8uxxv9r6n/wBBG7/7/t/jR/a+p/8AQRu/+/7f41p3nhe4iy1rIJl/un5W/wADWJNDLbyFJo2Rh2YYrpp1oVPhZ4uLy7FYN2rwa8+n37HsFFFFaHEFFFFABRRRQAUUUUAeT6v/AMhq/wD+viT/ANCNU6uav/yGr/8A6+JP/QjVOgAooooAuav/AMhq/wD+viT/ANCNU6uav/yGr/8A6+JP/QjVOgAooooA07grv2vIzDtEnU1HhVIJVrduzDkH61YkSVpDs2oCOXxkmmmGVB+7k3g9Vk5zX6ZicLUnWnUUG1fe35XfPp/dcUuiZxqSta5DhWJIVrhu7HgD6VJbld+1JGUd4n6inCGVx+8k2AdFj4xTo0lWQb9rgDh8YIow2FqQqwqODSvvb87Pn1/vOSfVIJSVrXI7grv2vIzDtEnU1HhVIJVrduzDkH61YkSVpDs2oCOXxkmmmGVB+7k3g9Vk5zRicLUnWnUUG1fe35XfPp/dcUuiYKSta5DhWJIVrhu7HgD6VJbld+1JGUd4n6inCGVx+8k2AdFj4xTo0lWQb9rgDh8YIow2FqQqwqODSvvb87Pn1/vOSfVIJSVrXI7grv2vIzDtEnU1HhVIJVrduzDkH61YkSVpDs2oCOXxkmmmGVB+7k3g9Vk5zRicLUnWnUUG1fe35XfPp/dcUuiYKSta5DhWJIVrhu7HgD6VJbld+1JGUd4n6inCGVx+8k2AdFj4xTo0lWQb9rgDh8YIow2FqQqwqODSvvb87Pn1/vOSfVIJSVrXI7grv2vIzDtEnU1HhVIJVrduzDkH61YkSVpDs2oCOXxkmmmGVB+7k3g9Vk5zRicLUnWnUUG1fe35XfPp/dcUuiYKSta5DhWJIVrhu7HgD6VJbld+1JGUd4n6inCGVx+8k2AdFj4xTo0lWQb9rgDh8YIow2FqQqwqODSvvb87Pn1/vOSfVIJSVrXI7grv2vIzDtEnU1HhVIJVrduzDkH61YkSVpDs2oCOXxkmmmGVB+7k3g9Vk5zRicLUnWnUUG1fe35XfPp/dcUuiYKSta5DhWJIVrhu7HgD6VJbld+1JGUd4n6inCGVx+8k2AdFj4xTo0lWQb9rgDh8YIow2FqQqwqODSvvb87Pn1/vOSfVIJSVrXI7grv2vIzDtEnU1HhVIJVrduzDkH61YkSVpDs2oCOXxkmmmGVB+7k3g9Vk5zRicLUnWnUUG1fe35XfPp/dcUuiYKSta5DhWJIVrhu7HgD6VJbld+1JGUd4n6inCGVx+8k2AdFj4xTo0lWQb9rgDh8YIow2FqQqwqODSvvb87Pn1/vOSfVIJSVrXI7grv2vIzDtEnU1HhVIJVrduzDkH61YkSVpDs2oCOXxkmmmGVB+7k3g9Vk5zRicLUnWnUUG1fe35XfPp/dcUuiYKSta5DhWJIVrhu7HgD6VJbld+1JGUd4n6inCGVx+8k2AdFj4xTo0lWQb9rgDh8YIow2FqQqwqODSvvb87Pn1/vOSfVIJSVrXI7grv2vIzDtEnU1HhVIJVrduzDkH61YkSVpDs2oCOXxkmmmGVB+7k3g9Vk5zRicLUnWnUUG1fe35XfPp/dcUuiYKSta5DhWJIVrhu7HgD6VJbld+1JGUd4n6inCGVx+8k2AdFj4xTo0lWQb9rgDh8YIow2FqQqwqODSvvb87Pn1/vOSfVIJSVrXI7grv2vIzDtEnU1HhVIJVrduzDkH61YkSVpDs2oCOXxkmmmGVB+7k3g9Vk5zRicLUnWnUUG1fe35XfPp/dcUuiYKSta5DhWJIVrhu7HgD6VJbld+1JGUd4n6inCGVx+8k2AdFj4xTo0lWQb9rgDh8YIow2FqQqwqODSvvb87Pn1/vOSfVIJSVrXI7grv2vIzDtEnU1HhVIJVrduzDkH61YkSVpDs2oCOXxkmmmGVB+7k3g9Vk5zRicLUnWnUUG1fe35XfPp/dcUuiYKSta5DhWJIVrhu7HgD6VJbld+1JGUd4n6inCGVx+8k2AdFj4xTo0lWQb9rgDh8YIow2FqQqwqODSvvb87Pn1/vOSfVIJSVrXKmr/wDIav8A/r4k/wDQjVOrmr/8hq//AOviT/0I1Tr8zOwKKKKAOy0j/kNa3/18H/0J6uXmr2VjkSzAuP4E5P8A9b8a5LUrmaHV9SSKVkV7h9wU4zhj/jWdXFUwaqVHOT0Pp8JxJPB4KGGow95X1e2rb2+fc37zxRcS5W1jEK/3j8zf4CsSaaW4kLzSM7HuxzUdFdNOjCn8KPFxeY4rGO9ebfl0+7Y9kooorQ4gooooAKKKKACiiigDzLVNU1CPV71Ev7pUWdwqrMwAG48Dmqn9r6n/ANBG7/7/ALf40av/AMhq/wD+viT/ANCNU6ALn9r6n/0Ebv8A7/t/jR/a+p/9BG7/AO/7f41TooA19U1TUI9XvUS/ulRZ3CqszAAbjwOaqf2vqf8A0Ebv/v8At/jRq/8AyGr/AP6+JP8A0I1ToAuf2vqf/QRu/wDv+3+NH9r6n/0Ebv8A7/t/jVOigDWmaQHh1jTu561DGxz+4nLHuknf6VJKoM2ViLvjq33RTHDMMyIky/3o+q1+lYqVR15STejevvafNWS87Rmv5mccbWEkY5/fzlT2SPt9amhaQnl1kTs461EgZRmNEhX+9J1anxKBNloij46r900YWVT28ZNvVrX3tfm7p+V4wX8rCVrDpmkB4dY07uetQxsc/uJyx7pJ3+lSSqDNlYi746t90UxwzDMiJMv96PqtGKlUdeUk3o3r72nzVkvO0Zr+ZhG1hJGOf385U9kj7fWpoWkJ5dZE7OOtRIGUZjRIV/vSdWp8SgTZaIo+Oq/dNGFlU9vGTb1a197X5u6fleMF/Kwlaw6ZpAeHWNO7nrUMbHP7icse6Sd/pUkqgzZWIu+OrfdFMcMwzIiTL/ej6rRipVHXlJN6N6+9p81ZLztGa/mYRtYSRjn9/OVPZI+31qaFpCeXWROzjrUSBlGY0SFf70nVqfEoE2WiKPjqv3TRhZVPbxk29Wtfe1+bun5XjBfysJWsOmaQHh1jTu561DGxz+4nLHuknf6VJKoM2ViLvjq33RTHDMMyIky/3o+q0YqVR15STejevvafNWS87Rmv5mEbWEkY5/fzlT2SPt9amhaQnl1kTs461EgZRmNEhX+9J1anxKBNloij46r900YWVT28ZNvVrX3tfm7p+V4wX8rCVrDpmkB4dY07uetQxsc/uJyx7pJ3+lSSqDNlYi746t90UxwzDMiJMv8Aej6rRipVHXlJN6N6+9p81ZLztGa/mYRtYSRjn9/OVPZI+31qaFpCeXWROzjrUSBlGY0SFf70nVqfEoE2WiKPjqv3TRhZVPbxk29Wtfe1+bun5XjBfysJWsOmaQHh1jTu561DGxz+4nLHuknf6VJKoM2ViLvjq33RTHDMMyIky/3o+q0YqVR15STejevvafNWS87Rmv5mEbWEkY5/fzlT2SPt9amhaQnl1kTs461EgZRmNEhX+9J1anxKBNloij46r900YWVT28ZNvVrX3tfm7p+V4wX8rCVrDpmkB4dY07uetQxsc/uJyx7pJ3+lSSqDNlYi746t90UxwzDMiJMv96PqtGKlUdeUk3o3r72nzVkvO0Zr+ZhG1hJGOf385U9kj7fWpoWkJ5dZE7OOtRIGUZjRIV/vSdWp8SgTZaIo+Oq/dNGFlU9vGTb1a197X5u6fleMF/Kwlaw6ZpAeHWNO7nrUMbHP7icse6Sd/pUkqgzZWIu+OrfdFMcMwzIiTL/ej6rRipVHXlJN6N6+9p81ZLztGa/mYRtYSRjn9/OVPZI+31qaFpCeXWROzjrUSBlGY0SFf70nVqfEoE2WiKPjqv3TRhZVPbxk29Wtfe1+bun5XjBfysJWsOmaQHh1jTu561DGxz+4nLHuknf6VJKoM2ViLvjq33RTHDMMyIky/wB6PqtGKlUdeUk3o3r72nzVkvO0Zr+ZhG1hJGOf385U9kj7fWpoWkJ5dZE7OOtRIGUZjRIV/vSdWp8SgTZaIo+Oq/dNGFlU9vGTb1a197X5u6fleMF/Kwlaw6ZpAeHWNO7nrUMbHP7icse6Sd/pUkqgzZWIu+OrfdFMcMwzIiTL/ej6rRipVHXlJN6N6+9p81ZLztGa/mYRtYSRjn9/OVPZI+31qaFpCeXWROzjrUSBlGY0SFf70nVqfEoE2WiKPjqv3TRhZVPbxk29Wtfe1+bun5XjBfysJWsP1TVNQj1e9RL+6VFncKqzMABuPA5qp/a+p/8AQRu/+/7f40av/wAhq/8A+viT/wBCNU6/NTsLn9r6n/0Ebv8A7/t/jR/a+p/9BG7/AO/7f41TooA19U1TUI9XvUS/ulRZ3CqszAAbjwOaqf2vqf8A0Ebv/v8At/jRq/8AyGr/AP6+JP8A0I1ToAuf2vqf/QRu/wDv+3+NH9r6n/0Ebv8A7/t/jVOigD2SiiigAooooAKKKKACiiigDyfV/wDkNX//AF8Sf+hGqdXNX/5DV/8A9fEn/oRqnQAUUUUAXNX/AOQ1f/8AXxJ/6Eap1c1f/kNX/wD18Sf+hGqdABRRRQBp3BXfteRmHaJOpqPCqQSrW7dmHIP1qxIkrSHZtQEcvjJNNMMqD93JvB6rJzmv0zE4WpOtOooNq+9vyu+fT+64pdEzjUla1yHCsSQrXDd2PAH0qS3K79qSMo7xP1FOEMrj95JsA6LHxinRpKsg37XAHD4wRRhsLUhVhUcGlfe352fPr/eck+qQSkrWuR3BXfteRmHaJOpqPCqQSrW7dmHIP1qxIkrSHZtQEcvjJNNMMqD93JvB6rJzmjE4WpOtOooNq+9vyu+fT+64pdEwUla1yHCsSQrXDd2PAH0qS3K79qSMo7xP1FOEMrj95JsA6LHxinRpKsg37XAHD4wRRhsLUhVhUcGlfe352fPr/eck+qQSkrWuR3BXfteRmHaJOpqPCqQSrW7dmHIP1qxIkrSHZtQEcvjJNNMMqD93JvB6rJzmjE4WpOtOooNq+9vyu+fT+64pdEwUla1yHCsSQrXDd2PAH0qS3K79qSMo7xP1FOEMrj95JsA6LHxinRpKsg37XAHD4wRRhsLUhVhUcGlfe352fPr/AHnJPqkEpK1rkdwV37XkZh2iTqajwqkEq1u3ZhyD9asSJK0h2bUBHL4yTTTDKg/dybweqyc5oxOFqTrTqKDavvb8rvn0/uuKXRMFJWtchwrEkK1w3djwB9Kktyu/akjKO8T9RThDK4/eSbAOix8Yp0aSrIN+1wBw+MEUYbC1IVYVHBpX3t+dnz6/3nJPqkEpK1rkdwV37XkZh2iTqajwqkEq1u3ZhyD9asSJK0h2bUBHL4yTTTDKg/dybweqyc5oxOFqTrTqKDavvb8rvn0/uuKXRMFJWtchwrEkK1w3djwB9Kktyu/akjKO8T9RThDK4/eSbAOix8Yp0aSrIN+1wBw+MEUYbC1IVYVHBpX3t+dnz6/3nJPqkEpK1rkdwV37XkZh2iTqajwqkEq1u3ZhyD9asSJK0h2bUBHL4yTTTDKg/dybweqyc5oxOFqTrTqKDavvb8rvn0/uuKXRMFJWtchwrEkK1w3djwB9Kktyu/akjKO8T9RThDK4/eSbAOix8Yp0aSrIN+1wBw+MEUYbC1IVYVHBpX3t+dnz6/3nJPqkEpK1rkdwV37XkZh2iTqajwqkEq1u3ZhyD9asSJK0h2bUBHL4yTTTDKg/dybweqyc5oxOFqTrTqKDavvb8rvn0/uuKXRMFJWtchwrEkK1w3djwB9Kktyu/akjKO8T9RThDK4/eSbAOix8Yp0aSrIN+1wBw+MEUYbC1IVYVHBpX3t+dnz6/wB5yT6pBKSta5HcFd+15GYdok6mo8KpBKtbt2Ycg/WrEiStIdm1ARy+Mk00wyoP3cm8HqsnOaMThak606ig2r72/K759P7ril0TBSVrXIcKxJCtcN3Y8AfSpLcrv2pIyjvE/UU4QyuP3kmwDosfGKdGkqyDftcAcPjBFGGwtSFWFRwaV97fnZ8+v95yT6pBKSta5HcFd+15GYdok6mo8KpBKtbt2Ycg/WrEiStIdm1ARy+Mk00wyoP3cm8HqsnOaMThak606ig2r72/K759P7ril0TBSVrXIcKxJCtcN3Y8AfSpLcrv2pIyjvE/UU4QyuP3kmwDosfGKdGkqyDftcAcPjBFGGwtSFWFRwaV97fnZ8+v95yT6pBKSta5HcFd+15GYdok6mo8KpBKtbt2Ycg/WrEiStIdm1ARy+Mk00wyoP3cm8HqsnOaMThak606ig2r72/K759P7ril0TBSVrXIcKxJCtcN3Y8AfSpLcrv2pIyjvE/UU4QyuP3kmwDosfGKdGkqyDftcAcPjBFGGwtSFWFRwaV97fnZ8+v95yT6pBKSta5U1f8A5DV//wBfEn/oRqnVzV/+Q1f/APXxJ/6Eap1+ZnYFFFFAFzV/+Q1f/wDXxJ/6Eap1c1f/AJDV/wD9fEn/AKEap0AFFFFAHslFFFABRRRQAUUUUAFFFFAHmWqapqEer3qJf3Sos7hVWZgANx4HNVP7X1P/AKCN3/3/AG/xo1f/AJDV/wD9fEn/AKEap0AXP7X1P/oI3f8A3/b/ABo/tfU/+gjd/wDf9v8AGqdFAGvqmqahHq96iX90qLO4VVmYADceBzVT+19T/wCgjd/9/wBv8aNX/wCQ1f8A/XxJ/wChGqdAFz+19T/6CN3/AN/2/wAaP7X1P/oI3f8A3/b/ABqnRQBrTNIDw6xp3c9ahjY5/cTlj3STv9KklUGbKxF3x1b7opjhmGZESZf70fVa/SsVKo68pJvRvX3tPmrJedozX8zOONrCSMc/v5yp7JH2+tTQtITy6yJ2cdaiQMozGiQr/ek6tT4lAmy0RR8dV+6aMLKp7eMm3q1r72vzd0/K8YL+VhK1h0zSA8Osad3PWoY2Of3E5Y90k7/SpJVBmysRd8dW+6KY4ZhmREmX+9H1WjFSqOvKSb0b197T5qyXnaM1/MwjawkjHP7+cqeyR9vrU0LSE8usidnHWokDKMxokK/3pOrU+JQJstEUfHVfumjCyqe3jJt6ta+9r83dPyvGC/lYStYdM0gPDrGndz1qGNjn9xOWPdJO/wBKklUGbKxF3x1b7opjhmGZESZf70fVaMVKo68pJvRvX3tPmrJedozX8zCNrCSMc/v5yp7JH2+tTQtITy6yJ2cdaiQMozGiQr/ek6tT4lAmy0RR8dV+6aMLKp7eMm3q1r72vzd0/K8YL+VhK1h0zSA8Osad3PWoY2Of3E5Y90k7/SpJVBmysRd8dW+6KY4ZhmREmX+9H1WjFSqOvKSb0b197T5qyXnaM1/MwjawkjHP7+cqeyR9vrU0LSE8usidnHWokDKMxokK/wB6Tq1PiUCbLRFHx1X7powsqnt4yberWvva/N3T8rxgv5WErWHTNIDw6xp3c9ahjY5/cTlj3STv9KklUGbKxF3x1b7opjhmGZESZf70fVaMVKo68pJvRvX3tPmrJedozX8zCNrCSMc/v5yp7JH2+tTQtITy6yJ2cdaiQMozGiQr/ek6tT4lAmy0RR8dV+6aMLKp7eMm3q1r72vzd0/K8YL+VhK1h0zSA8Osad3PWoY2Of3E5Y90k7/SpJVBmysRd8dW+6KY4ZhmREmX+9H1WjFSqOvKSb0b197T5qyXnaM1/MwjawkjHP7+cqeyR9vrU0LSE8usidnHWokDKMxokK/3pOrU+JQJstEUfHVfumjCyqe3jJt6ta+9r83dPyvGC/lYStYdM0gPDrGndz1qGNjn9xOWPdJO/wBKklUGbKxF3x1b7opjhmGZESZf70fVaMVKo68pJvRvX3tPmrJedozX8zCNrCSMc/v5yp7JH2+tTQtITy6yJ2cdaiQMozGiQr/ek6tT4lAmy0RR8dV+6aMLKp7eMm3q1r72vzd0/K8YL+VhK1h0zSA8Osad3PWoY2Of3E5Y90k7/SpJVBmysRd8dW+6KY4ZhmREmX+9H1WjFSqOvKSb0b197T5qyXnaM1/MwjawkjHP7+cqeyR9vrU0LSE8usidnHWokDKMxokK/wB6Tq1PiUCbLRFHx1X7powsqnt4yberWvva/N3T8rxgv5WErWHTNIDw6xp3c9ahjY5/cTlj3STv9KklUGbKxF3x1b7opjhmGZESZf70fVaMVKo68pJvRvX3tPmrJedozX8zCNrCSMc/v5yp7JH2+tTQtITy6yJ2cdaiQMozGiQr/ek6tT4lAmy0RR8dV+6aMLKp7eMm3q1r72vzd0/K8YL+VhK1h0zSA8Osad3PWoY2Of3E5Y90k7/SpJVBmysRd8dW+6KY4ZhmREmX+9H1WjFSqOvKSb0b197T5qyXnaM1/MwjawkjHP7+cqeyR9vrU0LSE8usidnHWokDKMxokK/3pOrU+JQJstEUfHVfumjCyqe3jJt6ta+9r83dPyvGC/lYStYfqmqahHq96iX90qLO4VVmYADceBzVT+19T/6CN3/3/b/GjV/+Q1f/APXxJ/6Eap1+anYXP7X1P/oI3f8A3/b/ABo/tfU/+gjd/wDf9v8AGqdFAGvqmqahHq96iX90qLO4VVmYADceBzVT+19T/wCgjd/9/wBv8aNX/wCQ1f8A/XxJ/wChGqdAFz+19T/6CN3/AN/2/wAaP7X1P/oI3f8A3/b/ABqnRQB7JRRRQAUUUUAFFFFABRRRQB5Pq/8AyGr/AP6+JP8A0I1Tq5q//Iav/wDr4k/9CNU6ACiiigC5q/8AyGr/AP6+JP8A0I1Tq5q//Iav/wDr4k/9CNU6ACiiigDTuCu/a8jMO0SdTUeFUglWt27MOQfrViRJWkOzagI5fGSaaYZUH7uTeD1WTnNfpmJwtSdadRQbV97fld8+n91xS6JnGpK1rkOFYkhWuG7seAPpUluV37UkZR3ifqKcIZXH7yTYB0WPjFOjSVZBv2uAOHxgijDYWpCrCo4NK+9vzs+fX+85J9UglJWtcjuCu/a8jMO0SdTUeFUglWt27MOQfrViRJWkOzagI5fGSaaYZUH7uTeD1WTnNGJwtSdadRQbV97fld8+n91xS6JgpK1rkOFYkhWuG7seAPpUluV37UkZR3ifqKcIZXH7yTYB0WPjFOjSVZBv2uAOHxgijDYWpCrCo4NK+9vzs+fX+85J9UglJWtcjuCu/a8jMO0SdTUeFUglWt27MOQfrViRJWkOzagI5fGSaaYZUH7uTeD1WTnNGJwtSdadRQbV97fld8+n91xS6JgpK1rkOFYkhWuG7seAPpUluV37UkZR3ifqKcIZXH7yTYB0WPjFOjSVZBv2uAOHxgijDYWpCrCo4NK+9vzs+fX+85J9UglJWtcjuCu/a8jMO0SdTUeFUglWt27MOQfrViRJWkOzagI5fGSaaYZUH7uTeD1WTnNGJwtSdadRQbV97fld8+n91xS6JgpK1rkOFYkhWuG7seAPpUluV37UkZR3ifqKcIZXH7yTYB0WPjFOjSVZBv2uAOHxgijDYWpCrCo4NK+9vzs+fX+85J9UglJWtcjuCu/a8jMO0SdTUeFUglWt27MOQfrViRJWkOzagI5fGSaaYZUH7uTeD1WTnNGJwtSdadRQbV97fld8+n91xS6JgpK1rkOFYkhWuG7seAPpUluV37UkZR3ifqKcIZXH7yTYB0WPjFOjSVZBv2uAOHxgijDYWpCrCo4NK+9vzs+fX+85J9UglJWtcjuCu/a8jMO0SdTUeFUglWt27MOQfrViRJWkOzagI5fGSaaYZUH7uTeD1WTnNGJwtSdadRQbV97fld8+n91xS6JgpK1rkOFYkhWuG7seAPpUluV37UkZR3ifqKcIZXH7yTYB0WPjFOjSVZBv2uAOHxgijDYWpCrCo4NK+9vzs+fX+85J9UglJWtcjuCu/a8jMO0SdTUeFUglWt27MOQfrViRJWkOzagI5fGSaaYZUH7uTeD1WTnNGJwtSdadRQbV97fld8+n91xS6JgpK1rkOFYkhWuG7seAPpUluV37UkZR3ifqKcIZXH7yTYB0WPjFOjSVZBv2uAOHxgijDYWpCrCo4NK+9vzs+fX+85J9UglJWtcjuCu/a8jMO0SdTUeFUglWt27MOQfrViRJWkOzagI5fGSaaYZUH7uTeD1WTnNGJwtSdadRQbV97fld8+n91xS6JgpK1rkOFYkhWuG7seAPpUluV37UkZR3ifqKcIZXH7yTYB0WPjFOjSVZBv2uAOHxgijDYWpCrCo4NK+9vzs+fX+85J9UglJWtcjuCu/a8jMO0SdTUeFUglWt27MOQfrViRJWkOzagI5fGSaaYZUH7uTeD1WTnNGJwtSdadRQbV97fld8+n91xS6JgpK1rkOFYkhWuG7seAPpUluV37UkZR3ifqKcIZXH7yTYB0WPjFOjSVZBv2uAOHxgijDYWpCrCo4NK+9vzs+fX+85J9UglJWtcjuCu/a8jMO0SdTUeFUglWt27MOQfrViRJWkOzagI5fGSaaYZUH7uTeD1WTnNGJwtSdadRQbV97fld8+n91xS6JgpK1rkOFYkhWuG7seAPpUluV37UkZR3ifqKcIZXH7yTYB0WPjFOjSVZBv2uAOHxgijDYWpCrCo4NK+9vzs+fX+85J9UglJWtcqav/AMhq/wD+viT/ANCNU6uav/yGr/8A6+JP/QjVOvzM7AooooAuav8A8hq//wCviT/0I1Tq5q//ACGr/wD6+JP/AEI1ToAKKKKAPZKKKKACiiigAooooAKKKKAPMtU1TUI9XvUS/ulRZ3CqszAAbjwOaqf2vqf/AEEbv/v+3+NGr/8AIav/APr4k/8AQjVOgC5/a+p/9BG7/wC/7f40f2vqf/QRu/8Av+3+NU6KANfVNU1CPV71Ev7pUWdwqrMwAG48Dmqn9r6n/wBBG7/7/t/jRq//ACGr/wD6+JP/AEI1ToAuf2vqf/QRu/8Av+3+NH9r6n/0Ebv/AL/t/jVOigDWmaQHh1jTu561DGxz+4nLHuknf6VJKoM2ViLvjq33RTHDMMyIky/3o+q1+lYqVR15STejevvafNWS87Rmv5mccbWEkY5/fzlT2SPt9amhaQnl1kTs461EgZRmNEhX+9J1anxKBNloij46r900YWVT28ZNvVrX3tfm7p+V4wX8rCVrDpmkB4dY07uetQxsc/uJyx7pJ3+lSSqDNlYi746t90UxwzDMiJMv96PqtGKlUdeUk3o3r72nzVkvO0Zr+ZhG1hJGOf385U9kj7fWpoWkJ5dZE7OOtRIGUZjRIV/vSdWp8SgTZaIo+Oq/dNGFlU9vGTb1a197X5u6fleMF/Kwlaw6ZpAeHWNO7nrUMbHP7icse6Sd/pUkqgzZWIu+OrfdFMcMwzIiTL/ej6rRipVHXlJN6N6+9p81ZLztGa/mYRtYSRjn9/OVPZI+31qaFpCeXWROzjrUSBlGY0SFf70nVqfEoE2WiKPjqv3TRhZVPbxk29Wtfe1+bun5XjBfysJWsOmaQHh1jTu561DGxz+4nLHuknf6VJKoM2ViLvjq33RTHDMMyIky/wB6PqtGKlUdeUk3o3r72nzVkvO0Zr+ZhG1hJGOf385U9kj7fWpoWkJ5dZE7OOtRIGUZjRIV/vSdWp8SgTZaIo+Oq/dNGFlU9vGTb1a197X5u6fleMF/Kwlaw6ZpAeHWNO7nrUMbHP7icse6Sd/pUkqgzZWIu+OrfdFMcMwzIiTL/ej6rRipVHXlJN6N6+9p81ZLztGa/mYRtYSRjn9/OVPZI+31qaFpCeXWROzjrUSBlGY0SFf70nVqfEoE2WiKPjqv3TRhZVPbxk29Wtfe1+bun5XjBfysJWsOmaQHh1jTu561DGxz+4nLHuknf6VJKoM2ViLvjq33RTHDMMyIky/3o+q0YqVR15STejevvafNWS87Rmv5mEbWEkY5/fzlT2SPt9amhaQnl1kTs461EgZRmNEhX+9J1anxKBNloij46r900YWVT28ZNvVrX3tfm7p+V4wX8rCVrDpmkB4dY07uetQxsc/uJyx7pJ3+lSSqDNlYi746t90UxwzDMiJMv96PqtGKlUdeUk3o3r72nzVkvO0Zr+ZhG1hJGOf385U9kj7fWpoWkJ5dZE7OOtRIGUZjRIV/vSdWp8SgTZaIo+Oq/dNGFlU9vGTb1a197X5u6fleMF/Kwlaw6ZpAeHWNO7nrUMbHP7icse6Sd/pUkqgzZWIu+OrfdFMcMwzIiTL/AHo+q0YqVR15STejevvafNWS87Rmv5mEbWEkY5/fzlT2SPt9amhaQnl1kTs461EgZRmNEhX+9J1anxKBNloij46r900YWVT28ZNvVrX3tfm7p+V4wX8rCVrDpmkB4dY07uetQxsc/uJyx7pJ3+lSSqDNlYi746t90UxwzDMiJMv96PqtGKlUdeUk3o3r72nzVkvO0Zr+ZhG1hJGOf385U9kj7fWpoWkJ5dZE7OOtRIGUZjRIV/vSdWp8SgTZaIo+Oq/dNGFlU9vGTb1a197X5u6fleMF/Kwlaw6ZpAeHWNO7nrUMbHP7icse6Sd/pUkqgzZWIu+OrfdFMcMwzIiTL/ej6rRipVHXlJN6N6+9p81ZLztGa/mYRtYSRjn9/OVPZI+31qaFpCeXWROzjrUSBlGY0SFf70nVqfEoE2WiKPjqv3TRhZVPbxk29Wtfe1+bun5XjBfysJWsP1TVNQj1e9RL+6VFncKqzMABuPA5qp/a+p/9BG7/AO/7f40av/yGr/8A6+JP/QjVOvzU7C5/a+p/9BG7/wC/7f40f2vqf/QRu/8Av+3+NU6KANfVNU1CPV71Ev7pUWdwqrMwAG48Dmqn9r6n/wBBG7/7/t/jRq//ACGr/wD6+JP/AEI1ToAuf2vqf/QRu/8Av+3+NH9r6n/0Ebv/AL/t/jVOigD2SiiigAooooAKKKKACiiigDyfV/8AkNX/AP18Sf8AoRqnVzV/+Q1f/wDXxJ/6Eap0AFFFFAFzV/8AkNX/AP18Sf8AoRqnVzV/+Q1f/wDXxJ/6Eap0AFFFFAGncFd+15GYdok6mo8KpBKtbt2Ycg/WrEiStIdm1ARy+Mk00wyoP3cm8HqsnOa/TMThak606ig2r72/K759P7ril0TONSVrXIcKxJCtcN3Y8AfSpLcrv2pIyjvE/UU4QyuP3kmwDosfGKdGkqyDftcAcPjBFGGwtSFWFRwaV97fnZ8+v95yT6pBKSta5HcFd+15GYdok6mo8KpBKtbt2Ycg/WrEiStIdm1ARy+Mk00wyoP3cm8HqsnOaMThak606ig2r72/K759P7ril0TBSVrXIcKxJCtcN3Y8AfSpLcrv2pIyjvE/UU4QyuP3kmwDosfGKdGkqyDftcAcPjBFGGwtSFWFRwaV97fnZ8+v95yT6pBKSta5HcFd+15GYdok6mo8KpBKtbt2Ycg/WrEiStIdm1ARy+Mk00wyoP3cm8HqsnOaMThak606ig2r72/K759P7ril0TBSVrXIcKxJCtcN3Y8AfSpLcrv2pIyjvE/UU4QyuP3kmwDosfGKdGkqyDftcAcPjBFGGwtSFWFRwaV97fnZ8+v95yT6pBKSta5HcFd+15GYdok6mo8KpBKtbt2Ycg/WrEiStIdm1ARy+Mk00wyoP3cm8HqsnOaMThak606ig2r72/K759P7ril0TBSVrXIcKxJCtcN3Y8AfSpLcrv2pIyjvE/UU4QyuP3kmwDosfGKdGkqyDftcAcPjBFGGwtSFWFRwaV97fnZ8+v8Aeck+qQSkrWuR3BXfteRmHaJOpqPCqQSrW7dmHIP1qxIkrSHZtQEcvjJNNMMqD93JvB6rJzmjE4WpOtOooNq+9vyu+fT+64pdEwUla1yHCsSQrXDd2PAH0qS3K79qSMo7xP1FOEMrj95JsA6LHxinRpKsg37XAHD4wRRhsLUhVhUcGlfe352fPr/eck+qQSkrWuR3BXfteRmHaJOpqPCqQSrW7dmHIP1qxIkrSHZtQEcvjJNNMMqD93JvB6rJzmjE4WpOtOooNq+9vyu+fT+64pdEwUla1yHCsSQrXDd2PAH0qS3K79qSMo7xP1FOEMrj95JsA6LHxinRpKsg37XAHD4wRRhsLUhVhUcGlfe352fPr/eck+qQSkrWuR3BXfteRmHaJOpqPCqQSrW7dmHIP1qxIkrSHZtQEcvjJNNMMqD93JvB6rJzmjE4WpOtOooNq+9vyu+fT+64pdEwUla1yHCsSQrXDd2PAH0qS3K79qSMo7xP1FOEMrj95JsA6LHxinRpKsg37XAHD4wRRhsLUhVhUcGlfe352fPr/eck+qQSkrWuR3BXfteRmHaJOpqPCqQSrW7dmHIP1qxIkrSHZtQEcvjJNNMMqD93JvB6rJzmjE4WpOtOooNq+9vyu+fT+64pdEwUla1yHCsSQrXDd2PAH0qS3K79qSMo7xP1FOEMrj95JsA6LHxinRpKsg37XAHD4wRRhsLUhVhUcGlfe352fPr/AHnJPqkEpK1rkdwV37XkZh2iTqajwqkEq1u3ZhyD9asSJK0h2bUBHL4yTTTDKg/dybweqyc5oxOFqTrTqKDavvb8rvn0/uuKXRMFJWtchwrEkK1w3djwB9Kktyu/akjKO8T9RThDK4/eSbAOix8Yp0aSrIN+1wBw+MEUYbC1IVYVHBpX3t+dnz6/3nJPqkEpK1rkdwV37XkZh2iTqajwqkEq1u3ZhyD9asSJK0h2bUBHL4yTTTDKg/dybweqyc5oxOFqTrTqKDavvb8rvn0/uuKXRMFJWtchwrEkK1w3djwB9Kktyu/akjKO8T9RThDK4/eSbAOix8Yp0aSrIN+1wBw+MEUYbC1IVYVHBpX3t+dnz6/3nJPqkEpK1rlTV/8AkNX/AP18Sf8AoRqnVzV/+Q1f/wDXxJ/6Eap1+ZnYFFFFAFzV/wDkNX//AF8Sf+hGqdXNX/5DV/8A9fEn/oRqnQAUUUUAeyUUUUAFFFFABRRRQAUUUUAeZapqmoR6veol/dKizuFVZmAA3Hgc1U/tfU/+gjd/9/2/xo1f/kNX/wD18Sf+hGqdAFz+19T/AOgjd/8Af9v8aP7X1P8A6CN3/wB/2/xqnRQBr6pqmoR6veol/dKizuFVZmAA3Hgc1U/tfU/+gjd/9/2/xo1f/kNX/wD18Sf+hGqdAFz+19T/AOgjd/8Af9v8aP7X1P8A6CN3/wB/2/xqnRQBr6pqmoR6veol/dKizuFVZmAA3Hgc1U/tfU/+gjd/9/2/xo1f/kNX/wD18Sf+hGqdAFz+19T/AOgjd/8Af9v8aP7X1P8A6CN3/wB/2/xqnRQBr6pqmoR6veol/dKizuFVZmAA3Hgc1U/tfU/+gjd/9/2/xo1f/kNX/wD18Sf+hGqdAFz+19T/AOgjd/8Af9v8aP7X1P8A6CN3/wB/2/xqnRQBr6pqmoR6veol/dKizuFVZmAA3Hgc1U/tfU/+gjd/9/2/xo1f/kNX/wD18Sf+hGqdAFz+19T/AOgjd/8Af9v8aP7X1P8A6CN3/wB/2/xqnRQBr6pqmoR6veol/dKizuFVZmAA3Hgc1U/tfU/+gjd/9/2/xo1f/kNX/wD18Sf+hGqdAFz+19T/AOgjd/8Af9v8aP7X1P8A6CN3/wB/2/xqnRQBr6pqmoR6veol/dKizuFVZmAA3Hgc1U/tfU/+gjd/9/2/xo1f/kNX/wD18Sf+hGqdAFz+19T/AOgjd/8Af9v8aP7X1P8A6CN3/wB/2/xqnRQBr6pqmoR6veol/dKizuFVZmAA3Hgc1U/tfU/+gjd/9/2/xo1f/kNX/wD18Sf+hGqdAFz+19T/AOgjd/8Af9v8aP7X1P8A6CN3/wB/2/xqnRQBr6pqmoR6veol/dKizuFVZmAA3Hgc1U/tfU/+gjd/9/2/xo1f/kNX/wD18Sf+hGqdAFz+19T/AOgjd/8Af9v8aP7X1P8A6CN3/wB/2/xqnRQBr6pqmoR6veol/dKizuFVZmAA3Hgc1U/tfU/+gjd/9/2/xo1f/kNX/wD18Sf+hGqdAFz+19T/AOgjd/8Af9v8aP7X1P8A6CN3/wB/2/xqnRQBr6pqmoR6veol/dKizuFVZmAA3Hgc1U/tfU/+gjd/9/2/xo1f/kNX/wD18Sf+hGqdAFz+19T/AOgjd/8Af9v8aP7X1P8A6CN3/wB/2/xqnRQBr6pqmoR6veol/dKizuFVZmAA3Hgc1U/tfU/+gjd/9/2/xo1f/kNX/wD18Sf+hGqdAFz+19T/AOgjd/8Af9v8aP7X1P8A6CN3/wB/2/xqnRQBr6pqmoR6veol/dKizuFVZmAA3Hgc1U/tfU/+gjd/9/2/xo1f/kNX/wD18Sf+hGqdAFz+19T/AOgjd/8Af9v8aP7X1P8A6CN3/wB/2/xqnRQBr6pqmoR6veol/dKizuFVZmAA3Hgc1U/tfU/+gjd/9/2/xo1f/kNX/wD18Sf+hGqdAFz+19T/AOgjd/8Af9v8aP7X1P8A6CN3/wB/2/xqnRQB7JRRRQAUUUUAFFFFABRRRQB5Pq//ACGr/wD6+JP/AEI1Tq5q/wDyGr//AK+JP/QjVOgAooooAuav/wAhq/8A+viT/wBCNU6uav8A8hq//wCviT/0I1ToAKKKKALmr/8AIav/APr4k/8AQjVOrmr/APIav/8Ar4k/9CNU6ACiiigC5q//ACGr/wD6+JP/AEI1Tq5q/wDyGr//AK+JP/QjVOgAooooAuav/wAhq/8A+viT/wBCNU6uav8A8hq//wCviT/0I1ToAKKKKALmr/8AIav/APr4k/8AQjVOrmr/APIav/8Ar4k/9CNU6ACiiigC5q//ACGr/wD6+JP/AEI1Tq5q/wDyGr//AK+JP/QjVOgAooooAuav/wAhq/8A+viT/wBCNU6uav8A8hq//wCviT/0I1ToAKKKKALmr/8AIav/APr4k/8AQjVOrmr/APIav/8Ar4k/9CNU6ACiiigC5q//ACGr/wD6+JP/AEI1Tq5q/wDyGr//AK+JP/QjVOgAooooAuav/wAhq/8A+viT/wBCNU6uav8A8hq//wCviT/0I1ToAKKKKALmr/8AIav/APr4k/8AQjVOrmr/APIav/8Ar4k/9CNU6ACiiigC5q//ACGr/wD6+JP/AEI1Tq5q/wDyGr//AK+JP/QjVOgAooooAuav/wAhq/8A+viT/wBCNU6uav8A8hq//wCviT/0I1ToAKKKKAPZKKKKACiiigAooooAKKKKAPMtU1TUI9XvUS/ulRZ3CqszAAbjwOaqf2vqf/QRu/8Av+3+NGr/APIav/8Ar4k/9CNU6ALn9r6n/wBBG7/7/t/jR/a+p/8AQRu/+/7f41TooA19U1TUI9XvUS/ulRZ3CqszAAbjwOaqf2vqf/QRu/8Av+3+NGr/APIav/8Ar4k/9CNU6ALn9r6n/wBBG7/7/t/jR/a+p/8AQRu/+/7f41TooA19U1TUI9XvUS/ulRZ3CqszAAbjwOaqf2vqf/QRu/8Av+3+NGr/APIav/8Ar4k/9CNU6ALn9r6n/wBBG7/7/t/jR/a+p/8AQRu/+/7f41TooA19U1TUI9XvUS/ulRZ3CqszAAbjwOaqf2vqf/QRu/8Av+3+NGr/APIav/8Ar4k/9CNU6ALn9r6n/wBBG7/7/t/jR/a+p/8AQRu/+/7f41TooA19U1TUI9XvUS/ulRZ3CqszAAbjwOaqf2vqf/QRu/8Av+3+NGr/APIav/8Ar4k/9CNU6ALn9r6n/wBBG7/7/t/jR/a+p/8AQRu/+/7f41TooA19U1TUI9XvUS/ulRZ3CqszAAbjwOaqf2vqf/QRu/8Av+3+NGr/APIav/8Ar4k/9CNU6ALn9r6n/wBBG7/7/t/jR/a+p/8AQRu/+/7f41TooA19U1TUI9XvUS/ulRZ3CqszAAbjwOaqf2vqf/QRu/8Av+3+NGr/APIav/8Ar4k/9CNU6ALn9r6n/wBBG7/7/t/jR/a+p/8AQRu/+/7f41TooA19U1TUI9XvUS/ulRZ3CqszAAbjwOaqf2vqf/QRu/8Av+3+NGr/APIav/8Ar4k/9CNU6ALn9r6n/wBBG7/7/t/jR/a+p/8AQRu/+/7f41TooA19U1TUI9XvUS/ulRZ3CqszAAbjwOaqf2vqf/QRu/8Av+3+NGr/APIav/8Ar4k/9CNU6ALn9r6n/wBBG7/7/t/jR/a+p/8AQRu/+/7f41TooA19U1TUI9XvUS/ulRZ3CqszAAbjwOaqf2vqf/QRu/8Av+3+NGr/APIav/8Ar4k/9CNU6ALn9r6n/wBBG7/7/t/jR/a+p/8AQRu/+/7f41TooA19U1TUI9XvUS/ulRZ3CqszAAbjwOaqf2vqf/QRu/8Av+3+NGr/APIav/8Ar4k/9CNU6ALn9r6n/wBBG7/7/t/jR/a+p/8AQRu/+/7f41TooA19U1TUI9XvUS/ulRZ3CqszAAbjwOaqf2vqf/QRu/8Av+3+NGr/APIav/8Ar4k/9CNU6ALn9r6n/wBBG7/7/t/jR/a+p/8AQRu/+/7f41TooA19U1T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",
- "text/plain": [
- "<PIL.Image.Image image mode=RGB size=512x416>"
- ]
- },
- "metadata": {},
- "output_type": "display_data"
- },
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "\n",
- "\n",
- "Computing new shield\n",
- "LOG: Starting with explicit model creation...\n",
- "Elapsed time is 0.08019781112670898 seconds.\n",
- "LOG: Starting with model checking...\n",
- "Elapsed time is 0.0008318424224853516 seconds.\n",
- "LOG: Starting to translate shield...\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 445\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 446\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 447\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 448\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 449\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 450\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 451\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 452\n",
- "Elapsed time is 0.022951364517211914 seconds.\n",
- "\n",
- "\n",
- "Computing new shield\n",
- "LOG: Starting with explicit model creation...\n",
- "Elapsed time is 0.0903787612915039 seconds.\n",
- "LOG: Starting with model checking...\n",
- "Elapsed time is 0.0008656978607177734 seconds.\n",
- "LOG: Starting to translate shield...\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 54\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 55\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 56\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 57\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 58\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 59\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 60\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 61\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 62\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 315\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 316\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 317\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 318\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 319\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 320\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 321\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 322\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 323\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 444\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 445\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 446\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 447\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 448\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 449\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 450\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 451\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 452\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 453\n",
- "Elapsed time is 0.0263826847076416 seconds.\n",
- "\n",
- "\n",
- "Computing new shield\n",
- "LOG: Starting with explicit model creation...\n",
- "Elapsed time is 0.11173772811889648 seconds.\n",
- "LOG: Starting with model checking...\n",
- "Elapsed time is 0.0016129016876220703 seconds.\n",
- "LOG: Starting to translate shield...\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 54\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 55\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 56\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 57\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 58\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 59\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 60\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 61\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 62\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 315\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 316\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 317\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 318\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 319\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 320\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 321\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 322\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 323\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 444\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 445\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 446\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 447\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 448\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 449\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 450\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 451\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 452\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 453\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 458\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 459\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 460\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 461\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 462\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 463\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 464\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 465\n",
- "Elapsed time is 0.03487586975097656 seconds.\n",
- "\n",
- "\n",
- "Computing new shield\n",
- "LOG: Starting with explicit model creation...\n",
- "Elapsed time is 0.1351919174194336 seconds.\n",
- "LOG: Starting with model checking...\n",
- "Elapsed time is 0.0011432170867919922 seconds.\n",
- "LOG: Starting to translate shield...\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 54\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 55\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 56\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 57\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 58\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 59\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 60\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 61\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 62\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 67\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 68\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 69\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 70\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 71\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 72\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 73\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 74\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 80\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 81\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 82\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 83\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 84\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 85\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 86\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 93\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 94\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 95\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 96\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for statElapsed time is 0.03844499588012695 seconds.\n",
- "e with index 97\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 98\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 106\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 107\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 108\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 109\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 110\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 315\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 316\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 317\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 318\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 319\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 320\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 321\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 322\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 323\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 329\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 330\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 331\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 332\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 333\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 334\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 335\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 336\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 343\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 344\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 345\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 346\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 347\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 348\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 349\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 357\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 358\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 359\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 360\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 361\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 362\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 371\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 372\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 373\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 374\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 375\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 444\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 445\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 446\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 447\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 448\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 449\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 450\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 451\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 452\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 453\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 457\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 458\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 459\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 460\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 461\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 462\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 463\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 464\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 465\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 466\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 470\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 471\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 472\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 473\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 474\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 475\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 476\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 477\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 478\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 479\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 483\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 484\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 485\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 486\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 487\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 488\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 489\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 490\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 491\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 492\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 496\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 497\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 498\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 499\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 500\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 501\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 502\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 503\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 504\n",
- " WARN (PreShield.cpp:50): No shielding action possible with absolute comparison for state with index 505\n"
- ]
- },
- {
- "data": {
- "image/png": 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",
- "text/plain": [
- "<PIL.Image.Image image mode=RGBA size=512x416>"
- ]
- },
- "metadata": {},
- "output_type": "display_data"
- },
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "The shield for shield_value = 0.9\n"
- ]
- },
- {
- "data": {
- "image/png": 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",
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- ]
- },
- "metadata": {},
- "output_type": "display_data"
- },
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "The shield for shield_value = 0.95\n"
- ]
- },
- {
- "data": {
- "image/png": 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",
- "text/plain": [
- "<PIL.Image.Image image mode=RGBA size=512x416>"
- ]
- },
- "metadata": {},
- "output_type": "display_data"
- },
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "The shield for shield_value = 0.99\n"
- ]
- },
- {
- "data": {
- "image/png": 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",
- "text/plain": [
- "<PIL.Image.Image image mode=RGBA size=512x416>"
- ]
- },
- "metadata": {},
- "output_type": "display_data"
- },
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "The shield for shield_value = 1.0\n",
- "Training with shield:\n"
- ]
- },
- {
- "data": {
- "image/png": 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",
- "text/plain": [
- "<PIL.Image.Image image mode=RGBA size=512x416>"
- ]
- },
- "metadata": {},
- "output_type": "display_data"
- },
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "Using cpu device\n",
- "Wrapping the env with a `Monitor` wrapper\n",
- "Wrapping the env in a DummyVecEnv.\n",
- "Wrapping the env in a VecTransposeImage.\n"
- ]
- },
- {
- "ename": "AssertionError",
- "evalue": "",
- "output_type": "error",
- "traceback": [
- "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
- "\u001b[0;31mAssertionError\u001b[0m Traceback (most recent call last)",
- "Cell \u001b[0;32mIn[3], line 62\u001b[0m\n\u001b[1;32m 60\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;18m__name__\u001b[39m \u001b[38;5;241m==\u001b[39m \u001b[38;5;124m'\u001b[39m\u001b[38;5;124m__main__\u001b[39m\u001b[38;5;124m'\u001b[39m:\n\u001b[1;32m 61\u001b[0m \u001b[38;5;28mprint\u001b[39m(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mStarting the training\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n\u001b[0;32m---> 62\u001b[0m \u001b[43mmain\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n",
- "Cell \u001b[0;32mIn[3], line 55\u001b[0m, in \u001b[0;36mmain\u001b[0;34m()\u001b[0m\n\u001b[1;32m 52\u001b[0m model\u001b[38;5;241m.\u001b[39mset_logger(logger)\n\u001b[1;32m 53\u001b[0m steps \u001b[38;5;241m=\u001b[39m \u001b[38;5;241m20_000\u001b[39m\n\u001b[0;32m---> 55\u001b[0m \u001b[38;5;28;01massert\u001b[39;00m(\u001b[38;5;28;01mFalse\u001b[39;00m)\n\u001b[1;32m 56\u001b[0m model\u001b[38;5;241m.\u001b[39mlearn(steps,callback\u001b[38;5;241m=\u001b[39m[InfoCallback()])\n",
- "\u001b[0;31mAssertionError\u001b[0m: "
- ]
- }
- ],
- "source": [
- "GRID_TO_PRISM_BINARY=os.getenv(\"M2P_BINARY\")\n",
- "\n",
- "def mask_fn(env: gym.Env):\n",
- " return env.create_action_mask()\n",
- "\n",
- "def nomask_fn(env: gym.Env):\n",
- " return [1.0] * 7\n",
- "\n",
- "def main():\n",
- " env = \"MiniGrid-LavaSlipperyCliff-16x13-Slip10-Time-v0\"\n",
- " \n",
- " formula = \"Pmax=? [G ! AgentIsOnLava]\"\n",
- " value_for_training = 0.99\n",
- " shield_comparison = \"absolute\"\n",
- " shielding = ShieldingConfig.Training\n",
- " \n",
- " logger = Logger(\"/tmp\", output_formats=[HumanOutputFormat(sys.stdout)])\n",
- " \n",
- " env = gym.make(env, render_mode=\"rgb_array\")\n",
- " image_env = RGBImgObsWrapper(env, TILE_PIXELS)\n",
- " env = RGBImgObsWrapper(env, 8)\n",
- " env = ImgObsWrapper(env)\n",
- " env = MiniWrapper(env)\n",
- "\n",
- " \n",
- " env.reset()\n",
- " Image.fromarray(env.render()).show()\n",
- " \n",
- " shield_handlers = dict()\n",
- " if shield_needed(shielding):\n",
- " for value in [0.9, 0.95, 0.99, 1.0]:\n",
- " shield_handler = MiniGridShieldHandler(GRID_TO_PRISM_BINARY, \"grid.txt\", \"grid.prism\", formula, shield_value=value, shield_comparison=shield_comparison, nocleanup=False, prism_file=None)\n",
- " env = MiniGridSbShieldingWrapper(env, shield_handler=shield_handler, create_shield_at_reset=False)\n",
- "\n",
- "\n",
- " shield_handlers[value] = shield_handler\n",
- " if shield_needed(shielding):\n",
- " for value in [0.9, 0.95, 0.99, 1.0]: \n",
- " create_shield_overlay_image(image_env, shield_handlers[value].create_shield())\n",
- " print(f\"The shield for shield_value = {value}\")\n",
- "\n",
- " if shielding == ShieldingConfig.Training:\n",
- " env = MiniGridSbShieldingWrapper(env, shield_handler=shield_handlers[value_for_training], create_shield_at_reset=False)\n",
- " env = ActionMasker(env, mask_fn)\n",
- " print(\"Training with shield:\")\n",
- " create_shield_overlay_image(image_env, shield_handlers[value_for_training].create_shield())\n",
- " elif shielding == ShieldingConfig.Disabled:\n",
- " env = ActionMasker(env, nomask_fn)\n",
- " else:\n",
- " assert(False) \n",
- " model = MaskablePPO(\"CnnPolicy\", env, verbose=1, device=\"auto\")\n",
- " model.set_logger(logger)\n",
- " steps = 20_000\n",
- "\n",
- " assert(False)\n",
- " model.learn(steps,callback=[InfoCallback()])\n",
- "\n",
- "\n",
- "\n",
- "if __name__ == '__main__':\n",
- " print(\"Starting the training\")\n",
- " main()"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {},
- "outputs": [],
- "source": []
- }
- ],
- "metadata": {
- "kernelspec": {
- "display_name": "Python 3 (ipykernel)",
- "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": "3.10.12"
- }
- },
- "nbformat": 4,
- "nbformat_minor": 4
-}
diff --git a/notebooks/SlipperyCliff.py b/notebooks/SlipperyCliff.py
deleted file mode 100644
index c41885e..0000000
--- a/notebooks/SlipperyCliff.py
+++ /dev/null
@@ -1,105 +0,0 @@
-#!/usr/bin/env python
-# coding: utf-8
-
-# ## Example usage of Tempestpy
-
-# In[1]:
-
-
-from sb3_contrib import MaskablePPO
-from sb3_contrib.common.wrappers import ActionMasker
-from stable_baselines3.common.logger import Logger, CSVOutputFormat, TensorBoardOutputFormat, HumanOutputFormat
-
-import gymnasium as gym
-
-from minigrid.core.actions import Actions
-from minigrid.core.constants import TILE_PIXELS
-from minigrid.wrappers import RGBImgObsWrapper, ImgObsWrapper
-
-import tempfile, datetime, shutil
-
-import time
-import os
-
-from utils import MiniGridShieldHandler, create_log_dir, ShieldingConfig, MiniWrapper, expname, shield_needed, shielded_evaluation, create_shield_overlay_image
-from sb3utils import MiniGridSbShieldingWrapper, parse_sb3_arguments, ImageRecorderCallback, InfoCallback
-
-import os, sys
-from copy import deepcopy
-
-from PIL import Image
-
-
-# In[3]:
-
-
-GRID_TO_PRISM_BINARY=os.getenv("M2P_BINARY")
-
-def mask_fn(env: gym.Env):
- return env.create_action_mask()
-
-def nomask_fn(env: gym.Env):
- return [1.0] * 7
-
-def main():
- #env = "MiniGrid-LavaSlipperyCliff-16x13-Slip10-Time-v0"
- env = "MiniGrid-WindyCity2-v0"
-
- formula = "Pmax=? [G ! AgentIsOnLava]"
- value_for_training = 0.99
- shield_comparison = "absolute"
- shielding = ShieldingConfig.Training
-
- logger = Logger("/tmp", output_formats=[HumanOutputFormat(sys.stdout)])
-
- env = gym.make(env, render_mode="rgb_array")
- image_env = RGBImgObsWrapper(env, TILE_PIXELS)
- env = RGBImgObsWrapper(env, 8)
- env = ImgObsWrapper(env)
- env = MiniWrapper(env)
-
-
- env.reset()
- Image.fromarray(env.render()).show()
-
- shield_handlers = dict()
- if shield_needed(shielding):
- for value in [0.9, 0.95, 0.99, 1.0]:
- shield_handler = MiniGridShieldHandler(GRID_TO_PRISM_BINARY, "grid.txt", "grid.prism", formula, shield_value=value, shield_comparison=shield_comparison, nocleanup=True, prism_file=None)
- env = MiniGridSbShieldingWrapper(env, shield_handler=shield_handler, create_shield_at_reset=False)
-
-
- shield_handlers[value] = shield_handler
- if shield_needed(shielding):
- for value in [0.9, 0.95, 0.99, 1.0]:
- create_shield_overlay_image(image_env, shield_handlers[value].create_shield())
- print(f"The shield for shield_value = {value}")
-
- if shielding == ShieldingConfig.Training:
- env = MiniGridSbShieldingWrapper(env, shield_handler=shield_handlers[value_for_training], create_shield_at_reset=False)
- env = ActionMasker(env, mask_fn)
- print("Training with shield:")
- create_shield_overlay_image(image_env, shield_handlers[value_for_training].create_shield())
- elif shielding == ShieldingConfig.Disabled:
- env = ActionMasker(env, nomask_fn)
- else:
- assert(False)
- model = MaskablePPO("CnnPolicy", env, verbose=1, device="auto")
- model.set_logger(logger)
- steps = 20_000
-
- assert(False)
- model.learn(steps,callback=[InfoCallback()])
-
-
-
-if __name__ == '__main__':
- print("Starting the training")
- main()
-
-
-# In[ ]:
-
-
-
-
diff --git a/notebooks/__pycache__/sb3utils.cpython-310.pyc b/notebooks/__pycache__/sb3utils.cpython-310.pyc
index d87a442..a7320f3 100644
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diff --git a/notebooks/__pycache__/utils.cpython-310.pyc b/notebooks/__pycache__/utils.cpython-310.pyc
index 01b3c51..8e2846a 100644
Binary files a/notebooks/__pycache__/utils.cpython-310.pyc and b/notebooks/__pycache__/utils.cpython-310.pyc differ
diff --git a/notebooks/environments/Minigrid/minigrid/envs/.ipynb_checkpoints/windycity-checkpoint.py b/notebooks/environments/Minigrid/minigrid/envs/.ipynb_checkpoints/windycity-checkpoint.py
new file mode 100644
index 0000000..1194130
--- /dev/null
+++ b/notebooks/environments/Minigrid/minigrid/envs/.ipynb_checkpoints/windycity-checkpoint.py
@@ -0,0 +1,744 @@
+from __future__ import annotations
+from minigrid.core.grid import Grid
+from minigrid.core.mission import MissionSpace
+from minigrid.core.world_object import (
+ SlipperyEast,
+ SlipperySouth,
+ SlipperyNorth,
+ SlipperyWest,
+ SlipperyNorthEast,
+ Lava,
+ Goal
+ )
+from minigrid.envs.adversaries_base import AdversaryEnv
+from minigrid.core.tasks import FollowAgent, DoRandom, GoTo
+
+from minigrid.minigrid_env import MiniGridEnv, is_slippery
+
+import numpy as np
+from itertools import product
+
+class WindyCityEnv(MiniGridEnv):
+ def __init__(self,
+ randomize_start=True, size=10,
+ width=24,
+ height=22,
+ probability_intended=8/9,
+ probability_turn_intended=8/9,
+ obstacle_type=Lava,
+ goal_reward=1,
+ failure_penalty=-1,
+ per_step_penalty=0,
+ dense_rewards=False,
+ **kwargs):
+
+ self.obstacle_type = obstacle_type
+ self.size = size
+ self.probability_intended = probability_intended
+ self.probability_turn_intended = probability_turn_intended
+
+ if width is not None and height is not None:
+ self.width = width
+ self.height = height
+ elif size is not None:
+ self.width = size
+ self.height = size
+ else:
+ raise ValueError(f"Please define either width and height or a size for square environments. The set values are width: {width}, height: {height}, size: {size}.")
+
+ mission_space = MissionSpace(mission_func=self._gen_mission)
+ super().__init__(
+ width=self.width,
+ height=self.height,
+ max_steps=200,
+ # Set this to True for maximum speed
+ see_through_walls=False,
+ mission_space = mission_space,
+ **kwargs
+ )
+
+ self.randomize_start = randomize_start
+ self.goal_reward = goal_reward
+ self.failure_penalty = failure_penalty
+ self.dense_rewards = dense_rewards
+ self.per_step_penalty = per_step_penalty
+
+ self.trajectory = list()
+
+ @staticmethod
+ def _gen_mission():
+ return "Finish your task while avoiding the adversaries"
+
+ def disable_random_start(self):
+ self.randomize_start = False
+
+ def place_agent(self, spawn_on_slippery=False, agent_pos=None, agent_dir=0):
+ max_tries = 10_000
+ num_tries = 0
+
+ if self.randomize_start == True:
+ while True:
+ num_tries += 1
+ if num_tries > max_tries:
+ raise RecursionError("rejection sampling failed in place_obj")
+ x = np.random.randint(0, self.width)
+ y = np.random.randint(0, self.height)
+
+ cell = self.grid.get(*(x,y))
+ if ( cell is None or
+ (cell.can_overlap() and
+ not isinstance(cell, Lava) and
+ not isinstance(cell, Goal) and
+ (spawn_on_slippery or not is_slippery(cell)) and
+ not (x in [7, 8, 9, 10] and y in [9, 10]))
+ ):
+ self.agent_pos = np.array((x, y))
+ self.agent_dir = np.random.randint(0, 4)
+ break
+ elif agent_dir is None:
+ self.agent_pos = np.array((1, 1))
+ self.agent_dir = 0
+ else:
+ self.agent_pos = agent_pos
+ self.agent_dir = agent_dir
+ self.trajectory.append((self.agent_pos, self.agent_dir))
+
+ def place_goal(self, goal_pos):
+ self.goal_pos = goal_pos
+ self.put_obj(Goal(), *self.goal_pos)
+
+
+ def printGrid(self, init=False):
+ grid = super().printGrid(init)
+
+ properties_str = ""
+
+ properties_str += F"ProbTurnIntended:{self.probability_turn_intended}\n"
+ properties_str += F"ProbForwardIntended:{self.probability_intended}\n"
+
+ return grid + properties_str
+
+ def step(self, action):
+ obs, reward, terminated, truncated, info = super().step(action)
+ self.trajectory.append((action, self.agent_pos, self.agent_dir))
+ if truncated and info["ran_into_lava"]:
+ print(self.trajectory)
+ print("truncated: ", info)
+ self.trajectory = list()
+ if truncated and info["reached_goal"]:
+ print("truncated: ", info)
+ self.trajectory = list()
+ elif terminated and info["ran_into_lava"]:
+ print(self.trajectory)
+ print("terminated: ", info)
+ self.trajectory = list()
+ elif terminated:
+ print("terminated: ", info)
+ self.trajectory = list()
+ elif truncated:
+ print("truncated: ", info)
+ self.trajectory = list()
+ return obs, reward - self.per_step_penalty, terminated, truncated, info
+
+ def reset(self, **kwargs) -> tuple[ObsType, dict[str, Any]]:
+ return super().reset(**kwargs)
+
+ def _place_building(self, col, row, width, height, obj_type=Lava):
+ for i in range(col, width + col):
+ self.grid.vert_wall(i, row, height, obj_type=obj_type)
+
+ def _gen_grid(self, width, height):
+ super()._gen_grid(width, height)
+ self.grid = Grid(width, height)
+
+ # Generate the surrounding walls
+ self.grid.horz_wall(0, 0)
+ self.grid.horz_wall(0, height - 1)
+ self.grid.vert_wall(0, 0)
+ self.grid.vert_wall(width - 1, 0)
+
+ for i in range(1, height - 1):
+ self.grid.horz_wall(1, i, width-2, obj_type=SlipperyNorthEast("white", probability_intended=self.probability_intended, probability_turn_intended=self.probability_turn_intended))
+
+ self._place_building(13, 1, 4, 2)
+ self.grid.vert_wall(12, 1, 2, obj_type=SlipperyNorth("white", probability_intended=self.probability_intended, probability_turn_intended=self.probability_turn_intended))
+ self.grid.horz_wall(13, 3, 4, obj_type=SlipperyEast("white", probability_intended=self.probability_intended, probability_turn_intended=self.probability_turn_intended))
+ self.grid.vert_wall(17, 1, 2, obj_type=SlipperyNorth("white", probability_intended=self.probability_intended, probability_turn_intended=self.probability_turn_intended))
+
+ self._place_building(7, 3, 3, 4)
+ self.grid.vert_wall(6, 3, 4, obj_type=SlipperyNorth("white", probability_intended=self.probability_intended, probability_turn_intended=self.probability_turn_intended))
+ self.grid.vert_wall(10, 3, 4, obj_type=SlipperyNorth("white", probability_intended=self.probability_intended, probability_turn_intended=self.probability_turn_intended))
+ self.grid.horz_wall(7, 2, 3, obj_type=SlipperyEast("white", probability_intended=self.probability_intended, probability_turn_intended=self.probability_turn_intended))
+ self.grid.horz_wall(7, 7, 3, obj_type=SlipperyEast("white", probability_intended=self.probability_intended, probability_turn_intended=self.probability_turn_intended))
+
+ self._place_building(15, 7, 6, 4)
+ self.grid.vert_wall(14, 7, 4, obj_type=SlipperyNorth("white", probability_intended=self.probability_intended, probability_turn_intended=self.probability_turn_intended))
+ self.grid.vert_wall(14, 9, 2, obj_type=Lava)
+ self.grid.vert_wall(20, 7, 4, obj_type=SlipperyNorth("white", probability_intended=self.probability_intended, probability_turn_intended=self.probability_turn_intended))
+ self.grid.vert_wall(13, 9, 2, obj_type=SlipperyNorth("white", probability_intended=self.probability_intended, probability_turn_intended=self.probability_turn_intended))
+ self.grid.horz_wall(15, 6, 5, obj_type=SlipperyEast("white", probability_intended=self.probability_intended, probability_turn_intended=self.probability_turn_intended))
+ self.grid.horz_wall(14, 11, 6, obj_type=SlipperyEast("white", probability_intended=self.probability_intended, probability_turn_intended=self.probability_turn_intended))
+
+
+ self._place_building(5, 11, 5, 6)
+ self.grid.vert_wall(4, 11, 6, obj_type=SlipperyNorth("white", probability_intended=self.probability_intended, probability_turn_intended=self.probability_turn_intended))
+ self.grid.vert_wall(10, 11, 6, obj_type=SlipperyNorth("white", probability_intended=self.probability_intended, probability_turn_intended=self.probability_turn_intended))
+ self.grid.horz_wall(5, 17, 5, obj_type=SlipperyEast("white", probability_intended=self.probability_intended, probability_turn_intended=self.probability_turn_intended))
+ self.grid.horz_wall(5, 10, 5, obj_type=SlipperyWest("white", probability_intended=self.probability_intended, probability_turn_intended=self.probability_turn_intended))
+ self.grid.horz_wall(6, 9, 4, obj_type=SlipperyWest("white", probability_intended=self.probability_intended, probability_turn_intended=self.probability_turn_intended))
+ self.grid.vert_wall(9, 7, 4, obj_type=SlipperySouth("white", probability_intended=self.probability_intended, probability_turn_intended=self.probability_turn_intended))
+
+ self._place_building(21, 13, 2, 5)
+ self.grid.vert_wall(20, 13, 5, obj_type=SlipperyNorth("white", probability_intended=self.probability_intended, probability_turn_intended=self.probability_turn_intended))
+ self.grid.horz_wall(21, 12, 2, obj_type=SlipperyEast("white", probability_intended=self.probability_intended, probability_turn_intended=self.probability_turn_intended))
+ self.grid.horz_wall(21, 18, 2, obj_type=SlipperyEast("white", probability_intended=self.probability_intended, probability_turn_intended=self.probability_turn_intended))
+
+
+
+ self.place_agent(agent_pos=np.array((1, height -2)), agent_dir=0, spawn_on_slippery=True)
+ self.place_goal(np.array((width - 2, 1)))
+ if self.dense_rewards: self.run_bfs()
+
+
+class WindyCityAdvEnv(AdversaryEnv):
+ def __init__(self,
+ randomize_start=True, size=10,
+ width=15,
+ height=15,
+ probability_intended=8/9,
+ probability_turn_intended=8/9,
+ obstacle_type=Lava,
+ goal_reward=1,
+ failure_penalty=-1,
+ per_step_penalty=0,
+ dense_rewards=False,
+ **kwargs):
+
+ self.obstacle_type = obstacle_type
+ self.size = size
+ self.probability_intended = probability_intended
+ self.probability_turn_intended = probability_turn_intended
+
+ if width is not None and height is not None:
+ self.width = width
+ self.height = height
+ elif size is not None:
+ self.width = size
+ self.height = size
+ else:
+ raise ValueError(f"Please define either width and height or a size for square environments. The set values are width: {width}, height: {height}, size: {size}.")
+
+ super().__init__(
+ width=self.width,
+ height=self.height,
+ max_steps=200,
+ # Set this to True for maximum speed
+ see_through_walls=False,
+ **kwargs
+ )
+
+ self.randomize_start = randomize_start
+ self.goal_reward = goal_reward
+ self.failure_penalty = failure_penalty
+ self.dense_rewards = dense_rewards
+ self.per_step_penalty = per_step_penalty
+
+ self.trajectory = list()
+
+ def disable_random_start(self):
+ self.randomize_start = False
+
+ def place_agent(self, spawn_on_slippery=False, agent_pos=None, agent_dir=0):
+ max_tries = 10_000
+ num_tries = 0
+
+ if self.randomize_start == True:
+ while True:
+ num_tries += 1
+ if num_tries > max_tries:
+ raise RecursionError("rejection sampling failed in place_obj")
+ x = np.random.randint(0, self.width)
+ y = np.random.randint(0, self.height)
+
+ cell = self.grid.get(*(x,y))
+ if ( cell is None or
+ (cell.can_overlap() and
+ not isinstance(cell, Lava) and
+ not isinstance(cell, Goal) and
+ (spawn_on_slippery or not is_slippery(cell)) and
+ not (x in [7, 8, 9, 10] and y in [9, 10]))
+ ):
+ self.agent_pos = np.array((x, y))
+ self.agent_dir = np.random.randint(0, 4)
+ break
+ elif agent_dir is None:
+ self.agent_pos = np.array((1, 1))
+ self.agent_dir = 0
+ else:
+ self.agent_pos = agent_pos
+ self.agent_dir = agent_dir
+ self.trajectory.append((self.agent_pos, self.agent_dir))
+
+ def place_goal(self, goal_pos):
+ self.goal_pos = goal_pos
+ self.put_obj(Goal(), *self.goal_pos)
+
+
+ def printGrid(self, init=False):
+ grid = super().printGrid(init)
+
+ properties_str = ""
+
+ properties_str += F"ProbTurnIntended:{self.probability_turn_intended}\n"
+ properties_str += F"ProbForwardIntended:{self.probability_intended}\n"
+
+ return grid + properties_str
+
+ def step(self, action):
+ obs, reward, terminated, truncated, info = super().step(action)
+ self.trajectory.append((action, self.agent_pos, self.agent_dir, str(self.adversaries["blue"])))
+ if truncated and info["ran_into_lava"]:
+ print(self.trajectory)
+ print("truncated: ", info)
+ self.trajectory = list()
+ if truncated and info["reached_goal"]:
+ print("truncated: ", info)
+ self.trajectory = list()
+ elif terminated and info["ran_into_lava"]:
+ print(self.trajectory)
+ print("terminated: ", info)
+ self.trajectory = list()
+ elif terminated:
+ print("terminated: ", info)
+ self.trajectory = list()
+ elif truncated:
+ print("truncated: ", info)
+ self.trajectory = list()
+ return obs, reward - self.per_step_penalty, terminated, truncated, info
+
+ def reset(self, **kwargs) -> tuple[ObsType, dict[str, Any]]:
+ return super().reset(**kwargs)
+
+ def _place_building(self, col, row, width, height, obj_type=Lava):
+ for i in range(col, width + col):
+ self.grid.vert_wall(i, row, height, obj_type=obj_type)
+
+ def _gen_grid(self, width, height):
+ super()._gen_grid(width, height)
+ self.grid = Grid(width, height)
+
+ # Generate the surrounding walls
+ self.grid.horz_wall(0, 0)
+ self.grid.horz_wall(0, height - 1)
+ self.grid.vert_wall(0, 0)
+ self.grid.vert_wall(width - 1, 0)
+
+ for i in range(1, height - 1):
+ self.grid.horz_wall(1, i, width-2, obj_type=SlipperyNorthEast("white", probability_intended=self.probability_intended, probability_turn_intended=self.probability_turn_intended))
+
+ self._place_building(7, 1, 4, 1)
+ self.grid.vert_wall(6, 1, 1, obj_type=SlipperyNorth("white", probability_intended=self.probability_intended, probability_turn_intended=self.probability_turn_intended))
+ self.grid.horz_wall(7, 2, 4, obj_type=SlipperyEast("white", probability_intended=self.probability_intended, probability_turn_intended=self.probability_turn_intended))
+ self.grid.vert_wall(11, 1, 1, obj_type=SlipperyNorth("white", probability_intended=self.probability_intended, probability_turn_intended=self.probability_turn_intended))
+
+ self._place_building(4, 5, 2, 1)
+ self.grid.vert_wall(3, 5, 1, obj_type=SlipperyNorth("white", probability_intended=self.probability_intended, probability_turn_intended=self.probability_turn_intended))
+ self.grid.vert_wall(6, 5, 1, obj_type=SlipperyNorth("white", probability_intended=self.probability_intended, probability_turn_intended=self.probability_turn_intended))
+ self.grid.horz_wall(4, 4, 2, obj_type=SlipperyEast("white", probability_intended=self.probability_intended, probability_turn_intended=self.probability_turn_intended))
+ self.grid.horz_wall(4, 6, 2, obj_type=SlipperyEast("white", probability_intended=self.probability_intended, probability_turn_intended=self.probability_turn_intended))
+
+ self._place_building(12, 7, 2, 3)
+ self.grid.vert_wall(11, 7, 3, obj_type=SlipperyNorth("white", probability_intended=self.probability_intended, probability_turn_intended=self.probability_turn_intended))
+ self.grid.horz_wall(11, 6, 3, obj_type=SlipperyEast("white", probability_intended=self.probability_intended, probability_turn_intended=self.probability_turn_intended))
+ self.grid.horz_wall(11, 10, 3, obj_type=SlipperyEast("white", probability_intended=self.probability_intended, probability_turn_intended=self.probability_turn_intended))
+
+
+ self._place_building(4, 10, 2, 2)
+ self.grid.vert_wall(3, 10, 2, obj_type=SlipperyNorth("white", probability_intended=self.probability_intended, probability_turn_intended=self.probability_turn_intended))
+ self.grid.vert_wall(6, 10, 2, obj_type=SlipperyNorth("white", probability_intended=self.probability_intended, probability_turn_intended=self.probability_turn_intended))
+ self.grid.horz_wall(4, 12, 2, obj_type=SlipperyEast("white", probability_intended=self.probability_intended, probability_turn_intended=self.probability_turn_intended))
+ self.grid.horz_wall(4, 9, 2, obj_type=SlipperyWest("white", probability_intended=self.probability_intended, probability_turn_intended=self.probability_turn_intended))
+ self.grid.vert_wall(5, 7, 3, obj_type=SlipperySouth("white", probability_intended=self.probability_intended, probability_turn_intended=self.probability_turn_intended))
+
+
+ #should spawn randomly
+ x = np.random.choice([1,2,3,6,7,8,9])
+ y = np.random.choice([6,7,8])
+ self.add_adversary(x, y, "blue", direction=1, tasks=[FollowAgent("red", duration=2), DoRandom(duration=2)], repeating=True)
+
+ self.place_agent(agent_pos=np.array((1, height -2)), agent_dir=0, spawn_on_slippery=True)
+ self.place_goal(np.array((width - 2, 1)))
+ if self.dense_rewards: self.run_bfs()
+
+class WindyCity2Env(MiniGridEnv):
+ def __init__(self,
+ randomize_start=True, size=10,
+ width=27,
+ height=22,
+ probability_intended=8/9,
+ probability_turn_intended=8/9,
+ obstacle_type=Lava,
+ goal_reward=1,
+ failure_penalty=-1,
+ per_step_penalty=0,
+ dense_rewards=False,
+ two_player_winning_region_start=False,
+ **kwargs):
+
+ self.obstacle_type = obstacle_type
+ self.size = size
+ self.probability_intended = probability_intended
+ self.probability_turn_intended = probability_turn_intended
+
+ if width is not None and height is not None:
+ self.width = width
+ self.height = height
+ elif size is not None:
+ self.width = size
+ self.height = size
+ else:
+ raise ValueError(f"Please define either width and height or a size for square environments. The set values are width: {width}, height: {height}, size: {size}.")
+
+ mission_space = MissionSpace(mission_func=self._gen_mission)
+ super().__init__(
+ width=self.width,
+ height=self.height,
+ max_steps=200,
+ # Set this to True for maximum speed
+ see_through_walls=False,
+ mission_space = mission_space,
+ **kwargs
+ )
+
+ self.randomize_start = randomize_start
+ self.two_player_winning_region_start = two_player_winning_region_start
+ self.goal_reward = goal_reward
+ self.failure_penalty = failure_penalty
+ self.dense_rewards = dense_rewards
+ self.per_step_penalty = per_step_penalty
+
+ self.trajectory = list()
+
+ @staticmethod
+ def _gen_mission():
+ return "Finish your task while avoiding the adversaries"
+
+ def disable_random_start(self):
+ self.randomize_start = False
+
+ def place_agent(self, spawn_on_slippery=False, agent_pos=None, agent_dir=0):
+ max_tries = 10_000
+ num_tries = 0
+
+ if self.two_player_winning_region_start == True:
+ winning_region = list()
+ winning_region += product([1,2,3,4], [y for y in range(1, self.height-1)])
+ winning_region += product([x for x in range(1,12)], [1])
+ winning_region += product([x for x in range(1,self.width-10)], [self.height-2])
+ winning_region += product([x for x in range(self.width-6, self.width-1)], [1,2,3,4])
+ winning_region += product([x for x in range(self.width-11, self.width-1)], [5])
+ x, y= winning_region[np.random.choice(len(winning_region), 1)[0]]
+ self.agent_pos = np.array((x,y))
+ self.agent_dir = np.random.randint(0, 4)
+ self.trajectory.append((self.agent_pos, self.agent_dir))
+ return
+
+ if self.randomize_start == True:
+ while True:
+ num_tries += 1
+ if num_tries > max_tries:
+ raise RecursionError("rejection sampling failed in place_obj")
+ x = np.random.randint(0, self.width)
+ y = np.random.randint(0, self.height)
+
+ cell = self.grid.get(*(x,y))
+ if ( cell is None or
+ (cell.can_overlap() and
+ not isinstance(cell, Lava) and
+ not isinstance(cell, Goal) and
+ (spawn_on_slippery or not is_slippery(cell)) and
+ not (x in [7, 8, 9, 10] and y in [9, 10]))
+ ):
+ self.agent_pos = np.array((x, y))
+ self.agent_dir = np.random.randint(0, 4)
+ break
+ elif agent_dir is None:
+ self.agent_pos = np.array((1, 1))
+ self.agent_dir = 0
+ else:
+ self.agent_pos = agent_pos
+ self.agent_dir = agent_dir
+ self.trajectory.append((self.agent_pos, self.agent_dir))
+
+ def place_goal(self, goal_pos):
+ self.goal_pos = goal_pos
+ self.put_obj(Goal(), *self.goal_pos)
+
+
+ def printGrid(self, init=False):
+ grid = super().printGrid(init)
+
+ properties_str = ""
+
+ properties_str += F"ProbTurnIntended:{self.probability_turn_intended}\n"
+ properties_str += F"ProbForwardIntended:{self.probability_intended}\n"
+
+ return grid + properties_str
+
+ def step(self, action):
+ obs, reward, terminated, truncated, info = super().step(action)
+ self.trajectory.append((action, self.agent_pos, self.agent_dir))
+ if truncated and info["ran_into_lava"]:
+ print(self.trajectory)
+ print("truncated: ", info)
+ self.trajectory = list()
+ if truncated and info["reached_goal"]:
+ print("truncated: ", info)
+ self.trajectory = list()
+ elif terminated and info["ran_into_lava"]:
+ print(self.trajectory)
+ print("terminated: ", info)
+ self.trajectory = list()
+ elif terminated:
+ print("terminated: ", info)
+ self.trajectory = list()
+ elif truncated:
+ print("truncated: ", info)
+ self.trajectory = list()
+ return obs, reward - self.per_step_penalty, terminated, truncated, info
+
+ def reset(self, **kwargs) -> tuple[ObsType, dict[str, Any]]:
+ return super().reset(**kwargs)
+
+ def _place_building(self, col, row, width, height, obj_type=Lava):
+ for i in range(col, width + col):
+ self.grid.vert_wall(i, row, height, obj_type=obj_type)
+
+ def _gen_grid(self, width, height):
+ super()._gen_grid(width, height)
+ self.grid = Grid(width, height)
+
+ # Generate the surrounding walls
+ self.grid.horz_wall(0, 0)
+ self.grid.horz_wall(0, height - 1)
+ self.grid.vert_wall(0, 0)
+ self.grid.vert_wall(width - 1, 0)
+
+ for i in range(1, height - 1):
+ self.grid.horz_wall(1, i, width-2, obj_type=SlipperyNorthEast("white", probability_intended=self.probability_intended, probability_turn_intended=self.probability_turn_intended))
+
+ self.grid.horz_wall(1, 17, 15, obj_type=SlipperyEast("white", probability_intended=self.probability_intended, probability_turn_intended=self.probability_turn_intended))
+ self.grid.horz_wall(1, 18, 16, obj_type=SlipperyEast("white", probability_intended=self.probability_intended, probability_turn_intended=self.probability_turn_intended))
+ self.grid.horz_wall(1, 19, 17, obj_type=SlipperyEast("white", probability_intended=self.probability_intended, probability_turn_intended=self.probability_turn_intended))
+ self.grid.horz_wall(1, 20, 18, obj_type=SlipperyEast("white", probability_intended=self.probability_intended, probability_turn_intended=self.probability_turn_intended))
+
+ self.grid.horz_wall(1, 7, 9, obj_type=SlipperyEast("white", probability_intended=self.probability_intended, probability_turn_intended=self.probability_turn_intended))
+ self.grid.horz_wall(1, 8, 8, obj_type=SlipperyEast("white", probability_intended=self.probability_intended, probability_turn_intended=self.probability_turn_intended))
+ self.grid.horz_wall(1, 9, 8, obj_type=SlipperyEast("white", probability_intended=self.probability_intended, probability_turn_intended=self.probability_turn_intended))
+ self.grid.horz_wall(1, 10, 7, obj_type=SlipperyEast("white", probability_intended=self.probability_intended, probability_turn_intended=self.probability_turn_intended))
+
+ self._place_building(16, 1, 4, 2)
+ self.grid.vert_wall(15, 1, 2, obj_type=SlipperyNorth("white", probability_intended=self.probability_intended, probability_turn_intended=self.probability_turn_intended))
+ self.grid.horz_wall(16, 3, 4, obj_type=SlipperyEast("white", probability_intended=self.probability_intended, probability_turn_intended=self.probability_turn_intended))
+ self.grid.vert_wall(20, 1, 2, obj_type=SlipperyNorth("white", probability_intended=self.probability_intended, probability_turn_intended=self.probability_turn_intended))
+
+ self._place_building(10, 3, 3, 4)
+ #self.grid.vert_wall(9, 3, 4, obj_type=SlipperyNorth("white", probability_intended=self.probability_intended, probability_turn_intended=self.probability_turn_intended))
+ self.grid.vert_wall(13, 3, 4, obj_type=SlipperyNorth("white", probability_intended=self.probability_intended, probability_turn_intended=self.probability_turn_intended))
+ self.grid.horz_wall(10, 2, 3, obj_type=SlipperyEast("white", probability_intended=self.probability_intended, probability_turn_intended=self.probability_turn_intended))
+ self.grid.horz_wall(10, 7, 3, obj_type=SlipperyEast("white", probability_intended=self.probability_intended, probability_turn_intended=self.probability_turn_intended))
+
+ self._place_building(16, 7, 8, 5)
+ self.grid.vert_wall(15, 7, 4, obj_type=SlipperyNorth("white", probability_intended=self.probability_intended, probability_turn_intended=self.probability_turn_intended))
+ #self.grid.vert_wall(17, 9, 3, obj_type=Lava)
+ self.grid.vert_wall(24, 7, 5, obj_type=SlipperyNorth("white", probability_intended=self.probability_intended, probability_turn_intended=self.probability_turn_intended))
+ self.grid.vert_wall(15, 9, 3, obj_type=SlipperyNorth("white", probability_intended=self.probability_intended, probability_turn_intended=self.probability_turn_intended))
+ self.grid.horz_wall(16, 6, 7, obj_type=SlipperyEast("white", probability_intended=self.probability_intended, probability_turn_intended=self.probability_turn_intended))
+ self.grid.horz_wall(16, 12, 7, obj_type=SlipperyEast("white", probability_intended=self.probability_intended, probability_turn_intended=self.probability_turn_intended))
+ self.grid.vert_wall(22, 12, 1, obj_type=SlipperyNorthEast("white", probability_intended=self.probability_intended, probability_turn_intended=self.probability_turn_intended))
+ self.grid.vert_wall(23, 13, 1, obj_type=SlipperyNorthEast("white", probability_intended=self.probability_intended, probability_turn_intended=self.probability_turn_intended))
+
+
+ self._place_building(8, 11, 5, 6)
+ #self.grid.vert_wall(7, 11, 6, obj_type=SlipperyNorth("white", probability_intended=self.probability_intended, probability_turn_intended=self.probability_turn_intended))
+ self.grid.vert_wall(13, 11, 6, obj_type=SlipperyNorth("white", probability_intended=self.probability_intended, probability_turn_intended=self.probability_turn_intended))
+ self.grid.horz_wall(8, 17, 5, obj_type=SlipperyEast("white", probability_intended=self.probability_intended, probability_turn_intended=self.probability_turn_intended))
+ self.grid.horz_wall(9, 10, 4, obj_type=SlipperyWest("white", probability_intended=self.probability_intended, probability_turn_intended=self.probability_turn_intended))
+ self.grid.horz_wall(10, 9, 3, obj_type=SlipperyWest("white", probability_intended=self.probability_intended, probability_turn_intended=self.probability_turn_intended))
+ self.grid.vert_wall(12, 7, 4, obj_type=SlipperySouth("white", probability_intended=self.probability_intended, probability_turn_intended=self.probability_turn_intended))
+
+ self._place_building(22, 14, 4, 4)
+ self.grid.vert_wall(21, 14, 4, obj_type=SlipperyNorth("white", probability_intended=self.probability_intended, probability_turn_intended=self.probability_turn_intended))
+ self.grid.horz_wall(22, 13, 4, obj_type=SlipperyEast("white", probability_intended=self.probability_intended, probability_turn_intended=self.probability_turn_intended))
+ self.grid.horz_wall(22, 18, 4, obj_type=SlipperyEast("white", probability_intended=self.probability_intended, probability_turn_intended=self.probability_turn_intended))
+
+
+ #self.grid.vert_wall(22, 13, 1, obj_type=SlipperyNorthEast("white", probability_intended=self.probability_intended, probability_turn_intended=self.probability_turn_intended))
+
+
+
+ self.place_agent(agent_pos=np.array((18, height - 4)), agent_dir=3, spawn_on_slippery=True)
+ self.place_goal(np.array((width - 2, 10)))
+ if self.dense_rewards: self.run_bfs()
+
+
+
+
+
+class WindyCitySmallAdv(AdversaryEnv):
+ def __init__(self,
+ randomize_start=True, size=10,
+ width=11,
+ height=9,
+ probability_intended=1,
+ probability_turn_intended=1,
+ obstacle_type=Lava,
+ goal_reward=1,
+ failure_penalty=-1,
+ per_step_penalty=0,
+ dense_rewards=False,
+ two_player_winning_region_start=False,
+ **kwargs):
+
+ self.obstacle_type = obstacle_type
+ self.size = size
+ self.probability_intended = probability_intended
+ self.probability_turn_intended = probability_turn_intended
+
+ if width is not None and height is not None:
+ self.width = width
+ self.height = height
+ elif size is not None:
+ self.width = size
+ self.height = size
+ else:
+ raise ValueError(f"Please define either width and height or a size for square environments. The set values are width: {width}, height: {height}, size: {size}.")
+
+ mission_space = MissionSpace(mission_func=self._gen_mission)
+ super().__init__(
+ width=self.width,
+ height=self.height,
+ max_steps=50,
+ # Set this to True for maximum speed
+ see_through_walls=False,
+ #mission_space = mission_space,
+ **kwargs
+ )
+
+ self.randomize_start = randomize_start
+ self.two_player_winning_region_start = two_player_winning_region_start
+ self.goal_reward = goal_reward
+ self.failure_penalty = failure_penalty
+ self.dense_rewards = dense_rewards
+ self.per_step_penalty = per_step_penalty
+
+ self.trajectory = list()
+
+ @staticmethod
+ def _gen_mission():
+ return "Finish your task while avoiding the adversaries"
+
+ def disable_random_start(self):
+ self.randomize_start = False
+
+ def place_agent(self, spawn_on_slippery=False, agent_pos=None, agent_dir=0):
+ max_tries = 10_000
+ num_tries = 0
+
+ if self.randomize_start == True:
+ while True:
+ num_tries += 1
+ if num_tries > max_tries:
+ raise RecursionError("rejection sampling failed in place_obj")
+ x = np.random.randint(0, self.width)
+ y = np.random.randint(5, self.height)
+
+ cell = self.grid.get(*(x,y))
+ if ( cell is None or
+ (cell.can_overlap() and
+ not isinstance(cell, Lava) and
+ not isinstance(cell, Goal) and
+ (spawn_on_slippery or not is_slippery(cell)) and
+ not (x in [7, 8, 9, 10] and y in [9, 10]))
+ ):
+ self.agent_pos = np.array((x, y))
+ self.agent_dir = np.random.randint(0, 4)
+ break
+ elif agent_dir is None:
+ self.agent_pos = np.array((1, 1))
+ self.agent_dir = 0
+ else:
+ self.agent_pos = agent_pos
+ self.agent_dir = agent_dir
+ self.trajectory.append((self.agent_pos, self.agent_dir))
+
+ def place_goal(self, goal_pos):
+ self.goal_pos = goal_pos
+ self.put_obj(Goal(), *self.goal_pos)
+
+
+ def printGrid(self, init=False):
+ grid = super().printGrid(init)
+
+ properties_str = ""
+
+ properties_str += F"ProbTurnIntended:{self.probability_turn_intended}\n"
+ properties_str += F"ProbForwardIntended:{self.probability_intended}\n"
+
+ return grid + properties_str
+
+ def step(self, action):
+ obs, reward, terminated, truncated, info = super().step(action)
+ self.trajectory.append((action, self.agent_pos, self.agent_dir))
+ if truncated and info["ran_into_lava"]:
+ print(self.trajectory)
+ print("truncated: ", info)
+ self.trajectory = list()
+ if truncated and info["reached_goal"]:
+ print("truncated: ", info)
+ self.trajectory = list()
+ elif terminated and info["ran_into_lava"]:
+ print(self.trajectory)
+ print("terminated: ", info)
+ self.trajectory = list()
+ elif terminated and info["collision"]:
+ print(self.trajectory)
+ print("terminated: ", info)
+ self.trajectory = list()
+ elif terminated:
+ print("terminated: ", info)
+ self.trajectory = list()
+ elif truncated:
+ print("truncated: ", info)
+ self.trajectory = list()
+ return obs, reward - self.per_step_penalty, terminated, truncated, info
+
+ def reset(self, **kwargs) -> tuple[ObsType, dict[str, Any]]:
+ return super().reset(**kwargs)
+
+ def _place_building(self, col, row, width, height, obj_type=Lava):
+ for i in range(col, width + col):
+ self.grid.vert_wall(i, row, height, obj_type=obj_type)
+
+ def _gen_grid(self, width, height):
+ super()._gen_grid(width, height)
+ self.grid = Grid(width, height)
+
+ # Generate the surrounding walls
+ self.grid.horz_wall(0, 0)
+ self.grid.horz_wall(0, height - 1)
+ self.grid.vert_wall(0, 0)
+ self.grid.vert_wall(width - 1, 0)
+
+
+ self._place_building(3, 3, 5, 2)
+ blue_adv = self.add_adversary(2, 4, "blue", direction=3, tasks=
+ [GoTo((2,2)), GoTo((8,2)), GoTo((8,4)), GoTo((8,2)), GoTo((2,2)), GoTo((2,4))], repeating=True)
+
+
+ self.place_agent(agent_pos=np.array((5, 5)), agent_dir=3, spawn_on_slippery=True)
+ self.place_goal(np.array((width//2, 1)))
+ if self.dense_rewards: self.run_bfs()
+
+
+
diff --git a/notebooks/shielding_files_20241129T122425_0tlvpkoj/grid.prism b/notebooks/shielding_files_20241129T122425_0tlvpkoj/grid.prism
new file mode 100644
index 0000000..d25aadb
--- /dev/null
+++ b/notebooks/shielding_files_20241129T122425_0tlvpkoj/grid.prism
@@ -0,0 +1,183 @@
+mdp
+
+formula AgentCannotMoveEastWall = (colAgent=25&rowAgent=10) | (colAgent=25&rowAgent=14) | (colAgent=25&rowAgent=15) | (colAgent=25&rowAgent=16) | (colAgent=25&rowAgent=17);
+formula AgentCannotMoveNorthWall = (colAgent=16&rowAgent=1) | (colAgent=17&rowAgent=1) | (colAgent=18&rowAgent=1) | (colAgent=19&rowAgent=1);
+formula AgentCannotMoveSouthWall = false;
+formula AgentCannotMoveWestWall = false;
+formula AgentIsOnSlipperyEast = (colAgent=10&rowAgent=2) | (colAgent=11&rowAgent=2) | (colAgent=12&rowAgent=2) | (colAgent=16&rowAgent=3) | (colAgent=17&rowAgent=3) | (colAgent=18&rowAgent=3) | (colAgent=19&rowAgent=3) | (colAgent=16&rowAgent=6) | (colAgent=17&rowAgent=6) | (colAgent=18&rowAgent=6) | (colAgent=19&rowAgent=6) | (colAgent=20&rowAgent=6) | (colAgent=21&rowAgent=6) | (colAgent=22&rowAgent=6) | (colAgent=1&rowAgent=7) | (colAgent=2&rowAgent=7) | (colAgent=3&rowAgent=7) | (colAgent=4&rowAgent=7) | (colAgent=5&rowAgent=7) | (colAgent=6&rowAgent=7) | (colAgent=7&rowAgent=7) | (colAgent=8&rowAgent=7) | (colAgent=9&rowAgent=7) | (colAgent=10&rowAgent=7) | (colAgent=11&rowAgent=7) | (colAgent=1&rowAgent=8) | (colAgent=2&rowAgent=8) | (colAgent=3&rowAgent=8) | (colAgent=4&rowAgent=8) | (colAgent=5&rowAgent=8) | (colAgent=6&rowAgent=8) | (colAgent=7&rowAgent=8) | (colAgent=8&rowAgent=8) | (colAgent=1&rowAgent=9) | (colAgent=2&rowAgent=9) | (colAgent=3&rowAgent=9) | (colAgent=4&rowAgent=9) | (colAgent=5&rowAgent=9) | (colAgent=6&rowAgent=9) | (colAgent=7&rowAgent=9) | (colAgent=8&rowAgent=9) | (colAgent=1&rowAgent=10) | (colAgent=2&rowAgent=10) | (colAgent=3&rowAgent=10) | (colAgent=4&rowAgent=10) | (colAgent=5&rowAgent=10) | (colAgent=6&rowAgent=10) | (colAgent=7&rowAgent=10) | (colAgent=16&rowAgent=12) | (colAgent=17&rowAgent=12) | (colAgent=18&rowAgent=12) | (colAgent=19&rowAgent=12) | (colAgent=20&rowAgent=12) | (colAgent=21&rowAgent=12) | (colAgent=22&rowAgent=13) | (colAgent=23&rowAgent=13) | (colAgent=24&rowAgent=13) | (colAgent=25&rowAgent=13) | (colAgent=1&rowAgent=17) | (colAgent=2&rowAgent=17) | (colAgent=3&rowAgent=17) | (colAgent=4&rowAgent=17) | (colAgent=5&rowAgent=17) | (colAgent=6&rowAgent=17) | (colAgent=7&rowAgent=17) | (colAgent=8&rowAgent=17) | (colAgent=9&rowAgent=17) | (colAgent=10&rowAgent=17) | (colAgent=11&rowAgent=17) | (colAgent=12&rowAgent=17) | (colAgent=13&rowAgent=17) | (colAgent=14&rowAgent=17) | (colAgent=15&rowAgent=17) | (colAgent=1&rowAgent=18) | (colAgent=2&rowAgent=18) | (colAgent=3&rowAgent=18) | (colAgent=4&rowAgent=18) | (colAgent=5&rowAgent=18) | (colAgent=6&rowAgent=18) | (colAgent=7&rowAgent=18) | (colAgent=8&rowAgent=18) | (colAgent=9&rowAgent=18) | (colAgent=10&rowAgent=18) | (colAgent=11&rowAgent=18) | (colAgent=12&rowAgent=18) | (colAgent=13&rowAgent=18) | (colAgent=14&rowAgent=18) | (colAgent=15&rowAgent=18) | (colAgent=16&rowAgent=18) | (colAgent=22&rowAgent=18) | (colAgent=23&rowAgent=18) | (colAgent=24&rowAgent=18) | (colAgent=25&rowAgent=18) | (colAgent=1&rowAgent=19) | (colAgent=2&rowAgent=19) | (colAgent=3&rowAgent=19) | (colAgent=4&rowAgent=19) | (colAgent=5&rowAgent=19) | (colAgent=6&rowAgent=19) | (colAgent=7&rowAgent=19) | (colAgent=8&rowAgent=19) | (colAgent=9&rowAgent=19) | (colAgent=10&rowAgent=19) | (colAgent=11&rowAgent=19) | (colAgent=12&rowAgent=19) | (colAgent=13&rowAgent=19) | (colAgent=14&rowAgent=19) | (colAgent=15&rowAgent=19) | (colAgent=16&rowAgent=19) | (colAgent=17&rowAgent=19) | (colAgent=1&rowAgent=20) | (colAgent=2&rowAgent=20) | (colAgent=3&rowAgent=20) | (colAgent=4&rowAgent=20) | (colAgent=5&rowAgent=20) | (colAgent=6&rowAgent=20) | (colAgent=7&rowAgent=20) | (colAgent=8&rowAgent=20) | (colAgent=9&rowAgent=20) | (colAgent=10&rowAgent=20) | (colAgent=11&rowAgent=20) | (colAgent=12&rowAgent=20) | (colAgent=13&rowAgent=20) | (colAgent=14&rowAgent=20) | (colAgent=15&rowAgent=20) | (colAgent=16&rowAgent=20) | (colAgent=17&rowAgent=20) | (colAgent=18&rowAgent=20);
+formula AgentIsOnSlipperyNorth = (colAgent=15&rowAgent=1) | (colAgent=20&rowAgent=1) | (colAgent=15&rowAgent=2) | (colAgent=20&rowAgent=2) | (colAgent=13&rowAgent=3) | (colAgent=13&rowAgent=4) | (colAgent=13&rowAgent=5) | (colAgent=13&rowAgent=6) | (colAgent=15&rowAgent=7) | (colAgent=24&rowAgent=7) | (colAgent=15&rowAgent=8) | (colAgent=24&rowAgent=8) | (colAgent=15&rowAgent=9) | (colAgent=24&rowAgent=9) | (colAgent=15&rowAgent=10) | (colAgent=24&rowAgent=10) | (colAgent=13&rowAgent=11) | (colAgent=15&rowAgent=11) | (colAgent=24&rowAgent=11) | (colAgent=13&rowAgent=12) | (colAgent=13&rowAgent=13) | (colAgent=13&rowAgent=14) | (colAgent=21&rowAgent=14) | (colAgent=13&rowAgent=15) | (colAgent=21&rowAgent=15) | (colAgent=13&rowAgent=16) | (colAgent=21&rowAgent=16) | (colAgent=21&rowAgent=17);
+formula AgentIsOnSlipperyNorthEast = (colAgent=1&rowAgent=1) | (colAgent=2&rowAgent=1) | (colAgent=3&rowAgent=1) | (colAgent=4&rowAgent=1) | (colAgent=5&rowAgent=1) | (colAgent=6&rowAgent=1) | (colAgent=7&rowAgent=1) | (colAgent=8&rowAgent=1) | (colAgent=9&rowAgent=1) | (colAgent=10&rowAgent=1) | (colAgent=11&rowAgent=1) | (colAgent=12&rowAgent=1) | (colAgent=13&rowAgent=1) | (colAgent=14&rowAgent=1) | (colAgent=21&rowAgent=1) | (colAgent=22&rowAgent=1) | (colAgent=23&rowAgent=1) | (colAgent=24&rowAgent=1) | (colAgent=25&rowAgent=1) | (colAgent=1&rowAgent=2) | (colAgent=2&rowAgent=2) | (colAgent=3&rowAgent=2) | (colAgent=4&rowAgent=2) | (colAgent=5&rowAgent=2) | (colAgent=6&rowAgent=2) | (colAgent=7&rowAgent=2) | (colAgent=8&rowAgent=2) | (colAgent=9&rowAgent=2) | (colAgent=13&rowAgent=2) | (colAgent=14&rowAgent=2) | (colAgent=21&rowAgent=2) | (colAgent=22&rowAgent=2) | (colAgent=23&rowAgent=2) | (colAgent=24&rowAgent=2) | (colAgent=25&rowAgent=2) | (colAgent=1&rowAgent=3) | (colAgent=2&rowAgent=3) | (colAgent=3&rowAgent=3) | (colAgent=4&rowAgent=3) | (colAgent=5&rowAgent=3) | (colAgent=6&rowAgent=3) | (colAgent=7&rowAgent=3) | (colAgent=8&rowAgent=3) | (colAgent=9&rowAgent=3) | (colAgent=14&rowAgent=3) | (colAgent=15&rowAgent=3) | (colAgent=20&rowAgent=3) | (colAgent=21&rowAgent=3) | (colAgent=22&rowAgent=3) | (colAgent=23&rowAgent=3) | (colAgent=24&rowAgent=3) | (colAgent=25&rowAgent=3) | (colAgent=1&rowAgent=4) | (colAgent=2&rowAgent=4) | (colAgent=3&rowAgent=4) | (colAgent=4&rowAgent=4) | (colAgent=5&rowAgent=4) | (colAgent=6&rowAgent=4) | (colAgent=7&rowAgent=4) | (colAgent=8&rowAgent=4) | (colAgent=9&rowAgent=4) | (colAgent=14&rowAgent=4) | (colAgent=15&rowAgent=4) | (colAgent=16&rowAgent=4) | (colAgent=17&rowAgent=4) | (colAgent=18&rowAgent=4) | (colAgent=19&rowAgent=4) | (colAgent=20&rowAgent=4) | (colAgent=21&rowAgent=4) | (colAgent=22&rowAgent=4) | (colAgent=23&rowAgent=4) | (colAgent=24&rowAgent=4) | (colAgent=25&rowAgent=4) | (colAgent=1&rowAgent=5) | (colAgent=2&rowAgent=5) | (colAgent=3&rowAgent=5) | (colAgent=4&rowAgent=5) | (colAgent=5&rowAgent=5) | (colAgent=6&rowAgent=5) | (colAgent=7&rowAgent=5) | (colAgent=8&rowAgent=5) | (colAgent=9&rowAgent=5) | (colAgent=14&rowAgent=5) | (colAgent=15&rowAgent=5) | (colAgent=16&rowAgent=5) | (colAgent=17&rowAgent=5) | (colAgent=18&rowAgent=5) | (colAgent=19&rowAgent=5) | (colAgent=20&rowAgent=5) | (colAgent=21&rowAgent=5) | (colAgent=22&rowAgent=5) | (colAgent=23&rowAgent=5) | (colAgent=24&rowAgent=5) | (colAgent=25&rowAgent=5) | (colAgent=1&rowAgent=6) | (colAgent=2&rowAgent=6) | (colAgent=3&rowAgent=6) | (colAgent=4&rowAgent=6) | (colAgent=5&rowAgent=6) | (colAgent=6&rowAgent=6) | (colAgent=7&rowAgent=6) | (colAgent=8&rowAgent=6) | (colAgent=9&rowAgent=6) | (colAgent=14&rowAgent=6) | (colAgent=15&rowAgent=6) | (colAgent=23&rowAgent=6) | (colAgent=24&rowAgent=6) | (colAgent=25&rowAgent=6) | (colAgent=13&rowAgent=7) | (colAgent=14&rowAgent=7) | (colAgent=25&rowAgent=7) | (colAgent=9&rowAgent=8) | (colAgent=10&rowAgent=8) | (colAgent=11&rowAgent=8) | (colAgent=13&rowAgent=8) | (colAgent=14&rowAgent=8) | (colAgent=25&rowAgent=8) | (colAgent=9&rowAgent=9) | (colAgent=13&rowAgent=9) | (colAgent=14&rowAgent=9) | (colAgent=25&rowAgent=9) | (colAgent=8&rowAgent=10) | (colAgent=13&rowAgent=10) | (colAgent=14&rowAgent=10) | (colAgent=1&rowAgent=11) | (colAgent=2&rowAgent=11) | (colAgent=3&rowAgent=11) | (colAgent=4&rowAgent=11) | (colAgent=5&rowAgent=11) | (colAgent=6&rowAgent=11) | (colAgent=7&rowAgent=11) | (colAgent=14&rowAgent=11) | (colAgent=25&rowAgent=11) | (colAgent=1&rowAgent=12) | (colAgent=2&rowAgent=12) | (colAgent=3&rowAgent=12) | (colAgent=4&rowAgent=12) | (colAgent=5&rowAgent=12) | (colAgent=6&rowAgent=12) | (colAgent=7&rowAgent=12) | (colAgent=14&rowAgent=12) | (colAgent=15&rowAgent=12) | (colAgent=22&rowAgent=12) | (colAgent=23&rowAgent=12) | (colAgent=24&rowAgent=12) | (colAgent=25&rowAgent=12) | (colAgent=1&rowAgent=13) | (colAgent=2&rowAgent=13) | (colAgent=3&rowAgent=13) | (colAgent=4&rowAgent=13) | (colAgent=5&rowAgent=13) | (colAgent=6&rowAgent=13) | (colAgent=7&rowAgent=13) | (colAgent=14&rowAgent=13) | (colAgent=15&rowAgent=13) | (colAgent=16&rowAgent=13) | (colAgent=17&rowAgent=13) | (colAgent=18&rowAgent=13) | (colAgent=19&rowAgent=13) | (colAgent=20&rowAgent=13) | (colAgent=21&rowAgent=13) | (colAgent=1&rowAgent=14) | (colAgent=2&rowAgent=14) | (colAgent=3&rowAgent=14) | (colAgent=4&rowAgent=14) | (colAgent=5&rowAgent=14) | (colAgent=6&rowAgent=14) | (colAgent=7&rowAgent=14) | (colAgent=14&rowAgent=14) | (colAgent=15&rowAgent=14) | (colAgent=16&rowAgent=14) | (colAgent=17&rowAgent=14) | (colAgent=18&rowAgent=14) | (colAgent=19&rowAgent=14) | (colAgent=20&rowAgent=14) | (colAgent=1&rowAgent=15) | (colAgent=2&rowAgent=15) | (colAgent=3&rowAgent=15) | (colAgent=4&rowAgent=15) | (colAgent=5&rowAgent=15) | (colAgent=6&rowAgent=15) | (colAgent=7&rowAgent=15) | (colAgent=14&rowAgent=15) | (colAgent=15&rowAgent=15) | (colAgent=16&rowAgent=15) | (colAgent=17&rowAgent=15) | (colAgent=18&rowAgent=15) | (colAgent=19&rowAgent=15) | (colAgent=20&rowAgent=15) | (colAgent=1&rowAgent=16) | (colAgent=2&rowAgent=16) | (colAgent=3&rowAgent=16) | (colAgent=4&rowAgent=16) | (colAgent=5&rowAgent=16) | (colAgent=6&rowAgent=16) | (colAgent=7&rowAgent=16) | (colAgent=14&rowAgent=16) | (colAgent=15&rowAgent=16) | (colAgent=16&rowAgent=16) | (colAgent=17&rowAgent=16) | (colAgent=18&rowAgent=16) | (colAgent=19&rowAgent=16) | (colAgent=20&rowAgent=16) | (colAgent=16&rowAgent=17) | (colAgent=17&rowAgent=17) | (colAgent=18&rowAgent=17) | (colAgent=19&rowAgent=17) | (colAgent=20&rowAgent=17) | (colAgent=17&rowAgent=18) | (colAgent=18&rowAgent=18) | (colAgent=19&rowAgent=18) | (colAgent=20&rowAgent=18) | (colAgent=21&rowAgent=18) | (colAgent=18&rowAgent=19) | (colAgent=19&rowAgent=19) | (colAgent=20&rowAgent=19) | (colAgent=21&rowAgent=19) | (colAgent=22&rowAgent=19) | (colAgent=23&rowAgent=19) | (colAgent=24&rowAgent=19) | (colAgent=25&rowAgent=19) | (colAgent=19&rowAgent=20) | (colAgent=20&rowAgent=20) | (colAgent=21&rowAgent=20) | (colAgent=22&rowAgent=20) | (colAgent=23&rowAgent=20) | (colAgent=24&rowAgent=20) | (colAgent=25&rowAgent=20);
+formula AgentIsOnSlipperyNorthWest = false;
+formula AgentIsOnSlipperySouth = (colAgent=12&rowAgent=7) | (colAgent=12&rowAgent=8) | (colAgent=12&rowAgent=9) | (colAgent=12&rowAgent=10);
+formula AgentIsOnSlipperySouthEast = false;
+formula AgentIsOnSlipperySouthWest = false;
+formula AgentIsOnSlipperyWest = (colAgent=10&rowAgent=9) | (colAgent=11&rowAgent=9) | (colAgent=9&rowAgent=10) | (colAgent=10&rowAgent=10) | (colAgent=11&rowAgent=10);
+formula AgentIsOnSlippery = AgentIsOnSlipperyEast | AgentIsOnSlipperyNorth | AgentIsOnSlipperyNorthEast | AgentIsOnSlipperyNorthWest | AgentIsOnSlipperySouth | AgentIsOnSlipperySouthEast | AgentIsOnSlipperySouthWest | AgentIsOnSlipperyWest;
+formula AgentCannotSlipEast = (colAgent+1=0&rowAgent=0) | (colAgent+1=1&rowAgent=0) | (colAgent+1=2&rowAgent=0) | (colAgent+1=3&rowAgent=0) | (colAgent+1=4&rowAgent=0) | (colAgent+1=5&rowAgent=0) | (colAgent+1=6&rowAgent=0) | (colAgent+1=7&rowAgent=0) | (colAgent+1=8&rowAgent=0) | (colAgent+1=9&rowAgent=0) | (colAgent+1=10&rowAgent=0) | (colAgent+1=11&rowAgent=0) | (colAgent+1=12&rowAgent=0) | (colAgent+1=13&rowAgent=0) | (colAgent+1=14&rowAgent=0) | (colAgent+1=15&rowAgent=0) | (colAgent+1=16&rowAgent=0) | (colAgent+1=17&rowAgent=0) | (colAgent+1=18&rowAgent=0) | (colAgent+1=19&rowAgent=0) | (colAgent+1=20&rowAgent=0) | (colAgent+1=21&rowAgent=0) | (colAgent+1=22&rowAgent=0) | (colAgent+1=23&rowAgent=0) | (colAgent+1=24&rowAgent=0) | (colAgent+1=25&rowAgent=0) | (colAgent+1=26&rowAgent=0) | (colAgent+1=0&rowAgent=1) | (colAgent+1=26&rowAgent=1) | (colAgent+1=0&rowAgent=2) | (colAgent+1=26&rowAgent=2) | (colAgent+1=0&rowAgent=3) | (colAgent+1=26&rowAgent=3) | (colAgent+1=0&rowAgent=4) | (colAgent+1=26&rowAgent=4) | (colAgent+1=0&rowAgent=5) | (colAgent+1=26&rowAgent=5) | (colAgent+1=0&rowAgent=6) | (colAgent+1=26&rowAgent=6) | (colAgent+1=0&rowAgent=7) | (colAgent+1=26&rowAgent=7) | (colAgent+1=0&rowAgent=8) | (colAgent+1=26&rowAgent=8) | (colAgent+1=0&rowAgent=9) | (colAgent+1=26&rowAgent=9) | (colAgent+1=0&rowAgent=10) | (colAgent+1=26&rowAgent=10) | (colAgent+1=0&rowAgent=11) | (colAgent+1=26&rowAgent=11) | (colAgent+1=0&rowAgent=12) | (colAgent+1=26&rowAgent=12) | (colAgent+1=0&rowAgent=13) | (colAgent+1=26&rowAgent=13) | (colAgent+1=0&rowAgent=14) | (colAgent+1=26&rowAgent=14) | (colAgent+1=0&rowAgent=15) | (colAgent+1=26&rowAgent=15) | (colAgent+1=0&rowAgent=16) | (colAgent+1=26&rowAgent=16) | (colAgent+1=0&rowAgent=17) | (colAgent+1=26&rowAgent=17) | (colAgent+1=0&rowAgent=18) | (colAgent+1=26&rowAgent=18) | (colAgent+1=0&rowAgent=19) | (colAgent+1=26&rowAgent=19) | (colAgent+1=0&rowAgent=20) | (colAgent+1=26&rowAgent=20) | (colAgent+1=0&rowAgent=21) | (colAgent+1=1&rowAgent=21) | (colAgent+1=2&rowAgent=21) | (colAgent+1=3&rowAgent=21) | (colAgent+1=4&rowAgent=21) | (colAgent+1=5&rowAgent=21) | (colAgent+1=6&rowAgent=21) | (colAgent+1=7&rowAgent=21) | (colAgent+1=8&rowAgent=21) | (colAgent+1=9&rowAgent=21) | (colAgent+1=10&rowAgent=21) | (colAgent+1=11&rowAgent=21) | (colAgent+1=12&rowAgent=21) | (colAgent+1=13&rowAgent=21) | (colAgent+1=14&rowAgent=21) | (colAgent+1=15&rowAgent=21) | (colAgent+1=16&rowAgent=21) | (colAgent+1=17&rowAgent=21) | (colAgent+1=18&rowAgent=21) | (colAgent+1=19&rowAgent=21) | (colAgent+1=20&rowAgent=21) | (colAgent+1=21&rowAgent=21) | (colAgent+1=22&rowAgent=21) | (colAgent+1=23&rowAgent=21) | (colAgent+1=24&rowAgent=21) | (colAgent+1=25&rowAgent=21) | (colAgent+1=26&rowAgent=21);
+formula AgentCannotSlipNorth = (colAgent=0&rowAgent-1=0) | (colAgent=1&rowAgent-1=0) | (colAgent=2&rowAgent-1=0) | (colAgent=3&rowAgent-1=0) | (colAgent=4&rowAgent-1=0) | (colAgent=5&rowAgent-1=0) | (colAgent=6&rowAgent-1=0) | (colAgent=7&rowAgent-1=0) | (colAgent=8&rowAgent-1=0) | (colAgent=9&rowAgent-1=0) | (colAgent=10&rowAgent-1=0) | (colAgent=11&rowAgent-1=0) | (colAgent=12&rowAgent-1=0) | (colAgent=13&rowAgent-1=0) | (colAgent=14&rowAgent-1=0) | (colAgent=15&rowAgent-1=0) | (colAgent=16&rowAgent-1=0) | (colAgent=17&rowAgent-1=0) | (colAgent=18&rowAgent-1=0) | (colAgent=19&rowAgent-1=0) | (colAgent=20&rowAgent-1=0) | (colAgent=21&rowAgent-1=0) | (colAgent=22&rowAgent-1=0) | (colAgent=23&rowAgent-1=0) | (colAgent=24&rowAgent-1=0) | (colAgent=25&rowAgent-1=0) | (colAgent=26&rowAgent-1=0) | (colAgent=0&rowAgent-1=1) | (colAgent=26&rowAgent-1=1) | (colAgent=0&rowAgent-1=2) | (colAgent=26&rowAgent-1=2) | (colAgent=0&rowAgent-1=3) | (colAgent=26&rowAgent-1=3) | (colAgent=0&rowAgent-1=4) | (colAgent=26&rowAgent-1=4) | (colAgent=0&rowAgent-1=5) | (colAgent=26&rowAgent-1=5) | (colAgent=0&rowAgent-1=6) | (colAgent=26&rowAgent-1=6) | (colAgent=0&rowAgent-1=7) | (colAgent=26&rowAgent-1=7) | (colAgent=0&rowAgent-1=8) | (colAgent=26&rowAgent-1=8) | (colAgent=0&rowAgent-1=9) | (colAgent=26&rowAgent-1=9) | (colAgent=0&rowAgent-1=10) | (colAgent=26&rowAgent-1=10) | (colAgent=0&rowAgent-1=11) | (colAgent=26&rowAgent-1=11) | (colAgent=0&rowAgent-1=12) | (colAgent=26&rowAgent-1=12) | (colAgent=0&rowAgent-1=13) | (colAgent=26&rowAgent-1=13) | (colAgent=0&rowAgent-1=14) | (colAgent=26&rowAgent-1=14) | (colAgent=0&rowAgent-1=15) | (colAgent=26&rowAgent-1=15) | (colAgent=0&rowAgent-1=16) | (colAgent=26&rowAgent-1=16) | (colAgent=0&rowAgent-1=17) | (colAgent=26&rowAgent-1=17) | (colAgent=0&rowAgent-1=18) | (colAgent=26&rowAgent-1=18) | (colAgent=0&rowAgent-1=19) | (colAgent=26&rowAgent-1=19) | (colAgent=0&rowAgent-1=20) | (colAgent=26&rowAgent-1=20) | (colAgent=0&rowAgent-1=21) | (colAgent=1&rowAgent-1=21) | (colAgent=2&rowAgent-1=21) | (colAgent=3&rowAgent-1=21) | (colAgent=4&rowAgent-1=21) | (colAgent=5&rowAgent-1=21) | (colAgent=6&rowAgent-1=21) | (colAgent=7&rowAgent-1=21) | (colAgent=8&rowAgent-1=21) | (colAgent=9&rowAgent-1=21) | (colAgent=10&rowAgent-1=21) | (colAgent=11&rowAgent-1=21) | (colAgent=12&rowAgent-1=21) | (colAgent=13&rowAgent-1=21) | (colAgent=14&rowAgent-1=21) | (colAgent=15&rowAgent-1=21) | (colAgent=16&rowAgent-1=21) | (colAgent=17&rowAgent-1=21) | (colAgent=18&rowAgent-1=21) | (colAgent=19&rowAgent-1=21) | (colAgent=20&rowAgent-1=21) | (colAgent=21&rowAgent-1=21) | (colAgent=22&rowAgent-1=21) | (colAgent=23&rowAgent-1=21) | (colAgent=24&rowAgent-1=21) | (colAgent=25&rowAgent-1=21) | (colAgent=26&rowAgent-1=21);
+formula AgentCannotSlipNorthEast = (colAgent+1=0&rowAgent-1=0) | (colAgent+1=1&rowAgent-1=0) | (colAgent+1=2&rowAgent-1=0) | (colAgent+1=3&rowAgent-1=0) | (colAgent+1=4&rowAgent-1=0) | (colAgent+1=5&rowAgent-1=0) | (colAgent+1=6&rowAgent-1=0) | (colAgent+1=7&rowAgent-1=0) | (colAgent+1=8&rowAgent-1=0) | (colAgent+1=9&rowAgent-1=0) | (colAgent+1=10&rowAgent-1=0) | (colAgent+1=11&rowAgent-1=0) | (colAgent+1=12&rowAgent-1=0) | (colAgent+1=13&rowAgent-1=0) | (colAgent+1=14&rowAgent-1=0) | (colAgent+1=15&rowAgent-1=0) | (colAgent+1=16&rowAgent-1=0) | (colAgent+1=17&rowAgent-1=0) | (colAgent+1=18&rowAgent-1=0) | (colAgent+1=19&rowAgent-1=0) | (colAgent+1=20&rowAgent-1=0) | (colAgent+1=21&rowAgent-1=0) | (colAgent+1=22&rowAgent-1=0) | (colAgent+1=23&rowAgent-1=0) | (colAgent+1=24&rowAgent-1=0) | (colAgent+1=25&rowAgent-1=0) | (colAgent+1=26&rowAgent-1=0) | (colAgent+1=0&rowAgent-1=1) | (colAgent+1=26&rowAgent-1=1) | (colAgent+1=0&rowAgent-1=2) | (colAgent+1=26&rowAgent-1=2) | (colAgent+1=0&rowAgent-1=3) | (colAgent+1=26&rowAgent-1=3) | (colAgent+1=0&rowAgent-1=4) | (colAgent+1=26&rowAgent-1=4) | (colAgent+1=0&rowAgent-1=5) | (colAgent+1=26&rowAgent-1=5) | (colAgent+1=0&rowAgent-1=6) | (colAgent+1=26&rowAgent-1=6) | (colAgent+1=0&rowAgent-1=7) | (colAgent+1=26&rowAgent-1=7) | (colAgent+1=0&rowAgent-1=8) | (colAgent+1=26&rowAgent-1=8) | (colAgent+1=0&rowAgent-1=9) | (colAgent+1=26&rowAgent-1=9) | (colAgent+1=0&rowAgent-1=10) | (colAgent+1=26&rowAgent-1=10) | (colAgent+1=0&rowAgent-1=11) | (colAgent+1=26&rowAgent-1=11) | (colAgent+1=0&rowAgent-1=12) | (colAgent+1=26&rowAgent-1=12) | (colAgent+1=0&rowAgent-1=13) | (colAgent+1=26&rowAgent-1=13) | (colAgent+1=0&rowAgent-1=14) | (colAgent+1=26&rowAgent-1=14) | (colAgent+1=0&rowAgent-1=15) | (colAgent+1=26&rowAgent-1=15) | (colAgent+1=0&rowAgent-1=16) | (colAgent+1=26&rowAgent-1=16) | (colAgent+1=0&rowAgent-1=17) | (colAgent+1=26&rowAgent-1=17) | (colAgent+1=0&rowAgent-1=18) | (colAgent+1=26&rowAgent-1=18) | (colAgent+1=0&rowAgent-1=19) | (colAgent+1=26&rowAgent-1=19) | (colAgent+1=0&rowAgent-1=20) | (colAgent+1=26&rowAgent-1=20) | (colAgent+1=0&rowAgent-1=21) | (colAgent+1=1&rowAgent-1=21) | (colAgent+1=2&rowAgent-1=21) | (colAgent+1=3&rowAgent-1=21) | (colAgent+1=4&rowAgent-1=21) | (colAgent+1=5&rowAgent-1=21) | (colAgent+1=6&rowAgent-1=21) | (colAgent+1=7&rowAgent-1=21) | (colAgent+1=8&rowAgent-1=21) | (colAgent+1=9&rowAgent-1=21) | (colAgent+1=10&rowAgent-1=21) | (colAgent+1=11&rowAgent-1=21) | (colAgent+1=12&rowAgent-1=21) | (colAgent+1=13&rowAgent-1=21) | (colAgent+1=14&rowAgent-1=21) | (colAgent+1=15&rowAgent-1=21) | (colAgent+1=16&rowAgent-1=21) | (colAgent+1=17&rowAgent-1=21) | (colAgent+1=18&rowAgent-1=21) | (colAgent+1=19&rowAgent-1=21) | (colAgent+1=20&rowAgent-1=21) | (colAgent+1=21&rowAgent-1=21) | (colAgent+1=22&rowAgent-1=21) | (colAgent+1=23&rowAgent-1=21) | (colAgent+1=24&rowAgent-1=21) | (colAgent+1=25&rowAgent-1=21) | (colAgent+1=26&rowAgent-1=21);
+formula AgentCannotSlipNorthWest = (colAgent-1=0&rowAgent-1=0) | (colAgent-1=1&rowAgent-1=0) | (colAgent-1=2&rowAgent-1=0) | (colAgent-1=3&rowAgent-1=0) | (colAgent-1=4&rowAgent-1=0) | (colAgent-1=5&rowAgent-1=0) | (colAgent-1=6&rowAgent-1=0) | (colAgent-1=7&rowAgent-1=0) | (colAgent-1=8&rowAgent-1=0) | (colAgent-1=9&rowAgent-1=0) | (colAgent-1=10&rowAgent-1=0) | (colAgent-1=11&rowAgent-1=0) | (colAgent-1=12&rowAgent-1=0) | (colAgent-1=13&rowAgent-1=0) | (colAgent-1=14&rowAgent-1=0) | (colAgent-1=15&rowAgent-1=0) | (colAgent-1=16&rowAgent-1=0) | (colAgent-1=17&rowAgent-1=0) | (colAgent-1=18&rowAgent-1=0) | (colAgent-1=19&rowAgent-1=0) | (colAgent-1=20&rowAgent-1=0) | (colAgent-1=21&rowAgent-1=0) | (colAgent-1=22&rowAgent-1=0) | (colAgent-1=23&rowAgent-1=0) | (colAgent-1=24&rowAgent-1=0) | (colAgent-1=25&rowAgent-1=0) | (colAgent-1=26&rowAgent-1=0) | (colAgent-1=0&rowAgent-1=1) | (colAgent-1=26&rowAgent-1=1) | (colAgent-1=0&rowAgent-1=2) | (colAgent-1=26&rowAgent-1=2) | (colAgent-1=0&rowAgent-1=3) | (colAgent-1=26&rowAgent-1=3) | (colAgent-1=0&rowAgent-1=4) | (colAgent-1=26&rowAgent-1=4) | (colAgent-1=0&rowAgent-1=5) | (colAgent-1=26&rowAgent-1=5) | (colAgent-1=0&rowAgent-1=6) | (colAgent-1=26&rowAgent-1=6) | (colAgent-1=0&rowAgent-1=7) | (colAgent-1=26&rowAgent-1=7) | (colAgent-1=0&rowAgent-1=8) | (colAgent-1=26&rowAgent-1=8) | (colAgent-1=0&rowAgent-1=9) | (colAgent-1=26&rowAgent-1=9) | (colAgent-1=0&rowAgent-1=10) | (colAgent-1=26&rowAgent-1=10) | (colAgent-1=0&rowAgent-1=11) | (colAgent-1=26&rowAgent-1=11) | (colAgent-1=0&rowAgent-1=12) | (colAgent-1=26&rowAgent-1=12) | (colAgent-1=0&rowAgent-1=13) | (colAgent-1=26&rowAgent-1=13) | (colAgent-1=0&rowAgent-1=14) | (colAgent-1=26&rowAgent-1=14) | (colAgent-1=0&rowAgent-1=15) | (colAgent-1=26&rowAgent-1=15) | (colAgent-1=0&rowAgent-1=16) | (colAgent-1=26&rowAgent-1=16) | (colAgent-1=0&rowAgent-1=17) | (colAgent-1=26&rowAgent-1=17) | (colAgent-1=0&rowAgent-1=18) | (colAgent-1=26&rowAgent-1=18) | (colAgent-1=0&rowAgent-1=19) | (colAgent-1=26&rowAgent-1=19) | (colAgent-1=0&rowAgent-1=20) | (colAgent-1=26&rowAgent-1=20) | (colAgent-1=0&rowAgent-1=21) | (colAgent-1=1&rowAgent-1=21) | (colAgent-1=2&rowAgent-1=21) | (colAgent-1=3&rowAgent-1=21) | (colAgent-1=4&rowAgent-1=21) | (colAgent-1=5&rowAgent-1=21) | (colAgent-1=6&rowAgent-1=21) | (colAgent-1=7&rowAgent-1=21) | (colAgent-1=8&rowAgent-1=21) | (colAgent-1=9&rowAgent-1=21) | (colAgent-1=10&rowAgent-1=21) | (colAgent-1=11&rowAgent-1=21) | (colAgent-1=12&rowAgent-1=21) | (colAgent-1=13&rowAgent-1=21) | (colAgent-1=14&rowAgent-1=21) | (colAgent-1=15&rowAgent-1=21) | (colAgent-1=16&rowAgent-1=21) | (colAgent-1=17&rowAgent-1=21) | (colAgent-1=18&rowAgent-1=21) | (colAgent-1=19&rowAgent-1=21) | (colAgent-1=20&rowAgent-1=21) | (colAgent-1=21&rowAgent-1=21) | (colAgent-1=22&rowAgent-1=21) | (colAgent-1=23&rowAgent-1=21) | (colAgent-1=24&rowAgent-1=21) | (colAgent-1=25&rowAgent-1=21) | (colAgent-1=26&rowAgent-1=21);
+formula AgentCannotSlipSouth = (colAgent=0&rowAgent+1=0) | (colAgent=1&rowAgent+1=0) | (colAgent=2&rowAgent+1=0) | (colAgent=3&rowAgent+1=0) | (colAgent=4&rowAgent+1=0) | (colAgent=5&rowAgent+1=0) | (colAgent=6&rowAgent+1=0) | (colAgent=7&rowAgent+1=0) | (colAgent=8&rowAgent+1=0) | (colAgent=9&rowAgent+1=0) | (colAgent=10&rowAgent+1=0) | (colAgent=11&rowAgent+1=0) | (colAgent=12&rowAgent+1=0) | (colAgent=13&rowAgent+1=0) | (colAgent=14&rowAgent+1=0) | (colAgent=15&rowAgent+1=0) | (colAgent=16&rowAgent+1=0) | (colAgent=17&rowAgent+1=0) | (colAgent=18&rowAgent+1=0) | (colAgent=19&rowAgent+1=0) | (colAgent=20&rowAgent+1=0) | (colAgent=21&rowAgent+1=0) | (colAgent=22&rowAgent+1=0) | (colAgent=23&rowAgent+1=0) | (colAgent=24&rowAgent+1=0) | (colAgent=25&rowAgent+1=0) | (colAgent=26&rowAgent+1=0) | (colAgent=0&rowAgent+1=1) | (colAgent=26&rowAgent+1=1) | (colAgent=0&rowAgent+1=2) | (colAgent=26&rowAgent+1=2) | (colAgent=0&rowAgent+1=3) | (colAgent=26&rowAgent+1=3) | (colAgent=0&rowAgent+1=4) | (colAgent=26&rowAgent+1=4) | (colAgent=0&rowAgent+1=5) | (colAgent=26&rowAgent+1=5) | (colAgent=0&rowAgent+1=6) | (colAgent=26&rowAgent+1=6) | (colAgent=0&rowAgent+1=7) | (colAgent=26&rowAgent+1=7) | (colAgent=0&rowAgent+1=8) | (colAgent=26&rowAgent+1=8) | (colAgent=0&rowAgent+1=9) | (colAgent=26&rowAgent+1=9) | (colAgent=0&rowAgent+1=10) | (colAgent=26&rowAgent+1=10) | (colAgent=0&rowAgent+1=11) | (colAgent=26&rowAgent+1=11) | (colAgent=0&rowAgent+1=12) | (colAgent=26&rowAgent+1=12) | (colAgent=0&rowAgent+1=13) | (colAgent=26&rowAgent+1=13) | (colAgent=0&rowAgent+1=14) | (colAgent=26&rowAgent+1=14) | (colAgent=0&rowAgent+1=15) | (colAgent=26&rowAgent+1=15) | (colAgent=0&rowAgent+1=16) | (colAgent=26&rowAgent+1=16) | (colAgent=0&rowAgent+1=17) | (colAgent=26&rowAgent+1=17) | (colAgent=0&rowAgent+1=18) | (colAgent=26&rowAgent+1=18) | (colAgent=0&rowAgent+1=19) | (colAgent=26&rowAgent+1=19) | (colAgent=0&rowAgent+1=20) | (colAgent=26&rowAgent+1=20) | (colAgent=0&rowAgent+1=21) | (colAgent=1&rowAgent+1=21) | (colAgent=2&rowAgent+1=21) | (colAgent=3&rowAgent+1=21) | (colAgent=4&rowAgent+1=21) | (colAgent=5&rowAgent+1=21) | (colAgent=6&rowAgent+1=21) | (colAgent=7&rowAgent+1=21) | (colAgent=8&rowAgent+1=21) | (colAgent=9&rowAgent+1=21) | (colAgent=10&rowAgent+1=21) | (colAgent=11&rowAgent+1=21) | (colAgent=12&rowAgent+1=21) | (colAgent=13&rowAgent+1=21) | (colAgent=14&rowAgent+1=21) | (colAgent=15&rowAgent+1=21) | (colAgent=16&rowAgent+1=21) | (colAgent=17&rowAgent+1=21) | (colAgent=18&rowAgent+1=21) | (colAgent=19&rowAgent+1=21) | (colAgent=20&rowAgent+1=21) | (colAgent=21&rowAgent+1=21) | (colAgent=22&rowAgent+1=21) | (colAgent=23&rowAgent+1=21) | (colAgent=24&rowAgent+1=21) | (colAgent=25&rowAgent+1=21) | (colAgent=26&rowAgent+1=21);
+formula AgentCannotSlipSouthEast = (colAgent+1=0&rowAgent+1=0) | (colAgent+1=1&rowAgent+1=0) | (colAgent+1=2&rowAgent+1=0) | (colAgent+1=3&rowAgent+1=0) | (colAgent+1=4&rowAgent+1=0) | (colAgent+1=5&rowAgent+1=0) | (colAgent+1=6&rowAgent+1=0) | (colAgent+1=7&rowAgent+1=0) | (colAgent+1=8&rowAgent+1=0) | (colAgent+1=9&rowAgent+1=0) | (colAgent+1=10&rowAgent+1=0) | (colAgent+1=11&rowAgent+1=0) | (colAgent+1=12&rowAgent+1=0) | (colAgent+1=13&rowAgent+1=0) | (colAgent+1=14&rowAgent+1=0) | (colAgent+1=15&rowAgent+1=0) | (colAgent+1=16&rowAgent+1=0) | (colAgent+1=17&rowAgent+1=0) | (colAgent+1=18&rowAgent+1=0) | (colAgent+1=19&rowAgent+1=0) | (colAgent+1=20&rowAgent+1=0) | (colAgent+1=21&rowAgent+1=0) | (colAgent+1=22&rowAgent+1=0) | (colAgent+1=23&rowAgent+1=0) | (colAgent+1=24&rowAgent+1=0) | (colAgent+1=25&rowAgent+1=0) | (colAgent+1=26&rowAgent+1=0) | (colAgent+1=0&rowAgent+1=1) | (colAgent+1=26&rowAgent+1=1) | (colAgent+1=0&rowAgent+1=2) | (colAgent+1=26&rowAgent+1=2) | (colAgent+1=0&rowAgent+1=3) | (colAgent+1=26&rowAgent+1=3) | (colAgent+1=0&rowAgent+1=4) | (colAgent+1=26&rowAgent+1=4) | (colAgent+1=0&rowAgent+1=5) | (colAgent+1=26&rowAgent+1=5) | (colAgent+1=0&rowAgent+1=6) | (colAgent+1=26&rowAgent+1=6) | (colAgent+1=0&rowAgent+1=7) | (colAgent+1=26&rowAgent+1=7) | (colAgent+1=0&rowAgent+1=8) | (colAgent+1=26&rowAgent+1=8) | (colAgent+1=0&rowAgent+1=9) | (colAgent+1=26&rowAgent+1=9) | (colAgent+1=0&rowAgent+1=10) | (colAgent+1=26&rowAgent+1=10) | (colAgent+1=0&rowAgent+1=11) | (colAgent+1=26&rowAgent+1=11) | (colAgent+1=0&rowAgent+1=12) | (colAgent+1=26&rowAgent+1=12) | (colAgent+1=0&rowAgent+1=13) | (colAgent+1=26&rowAgent+1=13) | (colAgent+1=0&rowAgent+1=14) | (colAgent+1=26&rowAgent+1=14) | (colAgent+1=0&rowAgent+1=15) | (colAgent+1=26&rowAgent+1=15) | (colAgent+1=0&rowAgent+1=16) | (colAgent+1=26&rowAgent+1=16) | (colAgent+1=0&rowAgent+1=17) | (colAgent+1=26&rowAgent+1=17) | (colAgent+1=0&rowAgent+1=18) | (colAgent+1=26&rowAgent+1=18) | (colAgent+1=0&rowAgent+1=19) | (colAgent+1=26&rowAgent+1=19) | (colAgent+1=0&rowAgent+1=20) | (colAgent+1=26&rowAgent+1=20) | (colAgent+1=0&rowAgent+1=21) | (colAgent+1=1&rowAgent+1=21) | (colAgent+1=2&rowAgent+1=21) | (colAgent+1=3&rowAgent+1=21) | (colAgent+1=4&rowAgent+1=21) | (colAgent+1=5&rowAgent+1=21) | (colAgent+1=6&rowAgent+1=21) | (colAgent+1=7&rowAgent+1=21) | (colAgent+1=8&rowAgent+1=21) | (colAgent+1=9&rowAgent+1=21) | (colAgent+1=10&rowAgent+1=21) | (colAgent+1=11&rowAgent+1=21) | (colAgent+1=12&rowAgent+1=21) | (colAgent+1=13&rowAgent+1=21) | (colAgent+1=14&rowAgent+1=21) | (colAgent+1=15&rowAgent+1=21) | (colAgent+1=16&rowAgent+1=21) | (colAgent+1=17&rowAgent+1=21) | (colAgent+1=18&rowAgent+1=21) | (colAgent+1=19&rowAgent+1=21) | (colAgent+1=20&rowAgent+1=21) | (colAgent+1=21&rowAgent+1=21) | (colAgent+1=22&rowAgent+1=21) | (colAgent+1=23&rowAgent+1=21) | (colAgent+1=24&rowAgent+1=21) | (colAgent+1=25&rowAgent+1=21) | (colAgent+1=26&rowAgent+1=21);
+formula AgentCannotSlipSouthWest = (colAgent-1=0&rowAgent+1=0) | (colAgent-1=1&rowAgent+1=0) | (colAgent-1=2&rowAgent+1=0) | (colAgent-1=3&rowAgent+1=0) | (colAgent-1=4&rowAgent+1=0) | (colAgent-1=5&rowAgent+1=0) | (colAgent-1=6&rowAgent+1=0) | (colAgent-1=7&rowAgent+1=0) | (colAgent-1=8&rowAgent+1=0) | (colAgent-1=9&rowAgent+1=0) | (colAgent-1=10&rowAgent+1=0) | (colAgent-1=11&rowAgent+1=0) | (colAgent-1=12&rowAgent+1=0) | (colAgent-1=13&rowAgent+1=0) | (colAgent-1=14&rowAgent+1=0) | (colAgent-1=15&rowAgent+1=0) | (colAgent-1=16&rowAgent+1=0) | (colAgent-1=17&rowAgent+1=0) | (colAgent-1=18&rowAgent+1=0) | (colAgent-1=19&rowAgent+1=0) | (colAgent-1=20&rowAgent+1=0) | (colAgent-1=21&rowAgent+1=0) | (colAgent-1=22&rowAgent+1=0) | (colAgent-1=23&rowAgent+1=0) | (colAgent-1=24&rowAgent+1=0) | (colAgent-1=25&rowAgent+1=0) | (colAgent-1=26&rowAgent+1=0) | (colAgent-1=0&rowAgent+1=1) | (colAgent-1=26&rowAgent+1=1) | (colAgent-1=0&rowAgent+1=2) | (colAgent-1=26&rowAgent+1=2) | (colAgent-1=0&rowAgent+1=3) | (colAgent-1=26&rowAgent+1=3) | (colAgent-1=0&rowAgent+1=4) | (colAgent-1=26&rowAgent+1=4) | (colAgent-1=0&rowAgent+1=5) | (colAgent-1=26&rowAgent+1=5) | (colAgent-1=0&rowAgent+1=6) | (colAgent-1=26&rowAgent+1=6) | (colAgent-1=0&rowAgent+1=7) | (colAgent-1=26&rowAgent+1=7) | (colAgent-1=0&rowAgent+1=8) | (colAgent-1=26&rowAgent+1=8) | (colAgent-1=0&rowAgent+1=9) | (colAgent-1=26&rowAgent+1=9) | (colAgent-1=0&rowAgent+1=10) | (colAgent-1=26&rowAgent+1=10) | (colAgent-1=0&rowAgent+1=11) | (colAgent-1=26&rowAgent+1=11) | (colAgent-1=0&rowAgent+1=12) | (colAgent-1=26&rowAgent+1=12) | (colAgent-1=0&rowAgent+1=13) | (colAgent-1=26&rowAgent+1=13) | (colAgent-1=0&rowAgent+1=14) | (colAgent-1=26&rowAgent+1=14) | (colAgent-1=0&rowAgent+1=15) | (colAgent-1=26&rowAgent+1=15) | (colAgent-1=0&rowAgent+1=16) | (colAgent-1=26&rowAgent+1=16) | (colAgent-1=0&rowAgent+1=17) | (colAgent-1=26&rowAgent+1=17) | (colAgent-1=0&rowAgent+1=18) | (colAgent-1=26&rowAgent+1=18) | (colAgent-1=0&rowAgent+1=19) | (colAgent-1=26&rowAgent+1=19) | (colAgent-1=0&rowAgent+1=20) | (colAgent-1=26&rowAgent+1=20) | (colAgent-1=0&rowAgent+1=21) | (colAgent-1=1&rowAgent+1=21) | (colAgent-1=2&rowAgent+1=21) | (colAgent-1=3&rowAgent+1=21) | (colAgent-1=4&rowAgent+1=21) | (colAgent-1=5&rowAgent+1=21) | (colAgent-1=6&rowAgent+1=21) | (colAgent-1=7&rowAgent+1=21) | (colAgent-1=8&rowAgent+1=21) | (colAgent-1=9&rowAgent+1=21) | (colAgent-1=10&rowAgent+1=21) | (colAgent-1=11&rowAgent+1=21) | (colAgent-1=12&rowAgent+1=21) | (colAgent-1=13&rowAgent+1=21) | (colAgent-1=14&rowAgent+1=21) | (colAgent-1=15&rowAgent+1=21) | (colAgent-1=16&rowAgent+1=21) | (colAgent-1=17&rowAgent+1=21) | (colAgent-1=18&rowAgent+1=21) | (colAgent-1=19&rowAgent+1=21) | (colAgent-1=20&rowAgent+1=21) | (colAgent-1=21&rowAgent+1=21) | (colAgent-1=22&rowAgent+1=21) | (colAgent-1=23&rowAgent+1=21) | (colAgent-1=24&rowAgent+1=21) | (colAgent-1=25&rowAgent+1=21) | (colAgent-1=26&rowAgent+1=21);
+formula AgentCannotSlipWest = (colAgent-1=0&rowAgent=0) | (colAgent-1=1&rowAgent=0) | (colAgent-1=2&rowAgent=0) | (colAgent-1=3&rowAgent=0) | (colAgent-1=4&rowAgent=0) | (colAgent-1=5&rowAgent=0) | (colAgent-1=6&rowAgent=0) | (colAgent-1=7&rowAgent=0) | (colAgent-1=8&rowAgent=0) | (colAgent-1=9&rowAgent=0) | (colAgent-1=10&rowAgent=0) | (colAgent-1=11&rowAgent=0) | (colAgent-1=12&rowAgent=0) | (colAgent-1=13&rowAgent=0) | (colAgent-1=14&rowAgent=0) | (colAgent-1=15&rowAgent=0) | (colAgent-1=16&rowAgent=0) | (colAgent-1=17&rowAgent=0) | (colAgent-1=18&rowAgent=0) | (colAgent-1=19&rowAgent=0) | (colAgent-1=20&rowAgent=0) | (colAgent-1=21&rowAgent=0) | (colAgent-1=22&rowAgent=0) | (colAgent-1=23&rowAgent=0) | (colAgent-1=24&rowAgent=0) | (colAgent-1=25&rowAgent=0) | (colAgent-1=26&rowAgent=0) | (colAgent-1=0&rowAgent=1) | (colAgent-1=26&rowAgent=1) | (colAgent-1=0&rowAgent=2) | (colAgent-1=26&rowAgent=2) | (colAgent-1=0&rowAgent=3) | (colAgent-1=26&rowAgent=3) | (colAgent-1=0&rowAgent=4) | (colAgent-1=26&rowAgent=4) | (colAgent-1=0&rowAgent=5) | (colAgent-1=26&rowAgent=5) | (colAgent-1=0&rowAgent=6) | (colAgent-1=26&rowAgent=6) | (colAgent-1=0&rowAgent=7) | (colAgent-1=26&rowAgent=7) | (colAgent-1=0&rowAgent=8) | (colAgent-1=26&rowAgent=8) | (colAgent-1=0&rowAgent=9) | (colAgent-1=26&rowAgent=9) | (colAgent-1=0&rowAgent=10) | (colAgent-1=26&rowAgent=10) | (colAgent-1=0&rowAgent=11) | (colAgent-1=26&rowAgent=11) | (colAgent-1=0&rowAgent=12) | (colAgent-1=26&rowAgent=12) | (colAgent-1=0&rowAgent=13) | (colAgent-1=26&rowAgent=13) | (colAgent-1=0&rowAgent=14) | (colAgent-1=26&rowAgent=14) | (colAgent-1=0&rowAgent=15) | (colAgent-1=26&rowAgent=15) | (colAgent-1=0&rowAgent=16) | (colAgent-1=26&rowAgent=16) | (colAgent-1=0&rowAgent=17) | (colAgent-1=26&rowAgent=17) | (colAgent-1=0&rowAgent=18) | (colAgent-1=26&rowAgent=18) | (colAgent-1=0&rowAgent=19) | (colAgent-1=26&rowAgent=19) | (colAgent-1=0&rowAgent=20) | (colAgent-1=26&rowAgent=20) | (colAgent-1=0&rowAgent=21) | (colAgent-1=1&rowAgent=21) | (colAgent-1=2&rowAgent=21) | (colAgent-1=3&rowAgent=21) | (colAgent-1=4&rowAgent=21) | (colAgent-1=5&rowAgent=21) | (colAgent-1=6&rowAgent=21) | (colAgent-1=7&rowAgent=21) | (colAgent-1=8&rowAgent=21) | (colAgent-1=9&rowAgent=21) | (colAgent-1=10&rowAgent=21) | (colAgent-1=11&rowAgent=21) | (colAgent-1=12&rowAgent=21) | (colAgent-1=13&rowAgent=21) | (colAgent-1=14&rowAgent=21) | (colAgent-1=15&rowAgent=21) | (colAgent-1=16&rowAgent=21) | (colAgent-1=17&rowAgent=21) | (colAgent-1=18&rowAgent=21) | (colAgent-1=19&rowAgent=21) | (colAgent-1=20&rowAgent=21) | (colAgent-1=21&rowAgent=21) | (colAgent-1=22&rowAgent=21) | (colAgent-1=23&rowAgent=21) | (colAgent-1=24&rowAgent=21) | (colAgent-1=25&rowAgent=21) | (colAgent-1=26&rowAgent=21);
+formula AgentIsOnLava = (colAgent=16&rowAgent=1) | (colAgent=17&rowAgent=1) | (colAgent=18&rowAgent=1) | (colAgent=19&rowAgent=1) | (colAgent=16&rowAgent=2) | (colAgent=17&rowAgent=2) | (colAgent=18&rowAgent=2) | (colAgent=19&rowAgent=2) | (colAgent=10&rowAgent=3) | (colAgent=11&rowAgent=3) | (colAgent=12&rowAgent=3) | (colAgent=10&rowAgent=4) | (colAgent=11&rowAgent=4) | (colAgent=12&rowAgent=4) | (colAgent=10&rowAgent=5) | (colAgent=11&rowAgent=5) | (colAgent=12&rowAgent=5) | (colAgent=10&rowAgent=6) | (colAgent=11&rowAgent=6) | (colAgent=12&rowAgent=6) | (colAgent=16&rowAgent=7) | (colAgent=17&rowAgent=7) | (colAgent=18&rowAgent=7) | (colAgent=19&rowAgent=7) | (colAgent=20&rowAgent=7) | (colAgent=21&rowAgent=7) | (colAgent=22&rowAgent=7) | (colAgent=23&rowAgent=7) | (colAgent=16&rowAgent=8) | (colAgent=17&rowAgent=8) | (colAgent=18&rowAgent=8) | (colAgent=19&rowAgent=8) | (colAgent=20&rowAgent=8) | (colAgent=21&rowAgent=8) | (colAgent=22&rowAgent=8) | (colAgent=23&rowAgent=8) | (colAgent=16&rowAgent=9) | (colAgent=17&rowAgent=9) | (colAgent=18&rowAgent=9) | (colAgent=19&rowAgent=9) | (colAgent=20&rowAgent=9) | (colAgent=21&rowAgent=9) | (colAgent=22&rowAgent=9) | (colAgent=23&rowAgent=9) | (colAgent=16&rowAgent=10) | (colAgent=17&rowAgent=10) | (colAgent=18&rowAgent=10) | (colAgent=19&rowAgent=10) | (colAgent=20&rowAgent=10) | (colAgent=21&rowAgent=10) | (colAgent=22&rowAgent=10) | (colAgent=23&rowAgent=10) | (colAgent=8&rowAgent=11) | (colAgent=9&rowAgent=11) | (colAgent=10&rowAgent=11) | (colAgent=11&rowAgent=11) | (colAgent=12&rowAgent=11) | (colAgent=16&rowAgent=11) | (colAgent=17&rowAgent=11) | (colAgent=18&rowAgent=11) | (colAgent=19&rowAgent=11) | (colAgent=20&rowAgent=11) | (colAgent=21&rowAgent=11) | (colAgent=22&rowAgent=11) | (colAgent=23&rowAgent=11) | (colAgent=8&rowAgent=12) | (colAgent=9&rowAgent=12) | (colAgent=10&rowAgent=12) | (colAgent=11&rowAgent=12) | (colAgent=12&rowAgent=12) | (colAgent=8&rowAgent=13) | (colAgent=9&rowAgent=13) | (colAgent=10&rowAgent=13) | (colAgent=11&rowAgent=13) | (colAgent=12&rowAgent=13) | (colAgent=8&rowAgent=14) | (colAgent=9&rowAgent=14) | (colAgent=10&rowAgent=14) | (colAgent=11&rowAgent=14) | (colAgent=12&rowAgent=14) | (colAgent=22&rowAgent=14) | (colAgent=23&rowAgent=14) | (colAgent=24&rowAgent=14) | (colAgent=25&rowAgent=14) | (colAgent=8&rowAgent=15) | (colAgent=9&rowAgent=15) | (colAgent=10&rowAgent=15) | (colAgent=11&rowAgent=15) | (colAgent=12&rowAgent=15) | (colAgent=22&rowAgent=15) | (colAgent=23&rowAgent=15) | (colAgent=24&rowAgent=15) | (colAgent=25&rowAgent=15) | (colAgent=8&rowAgent=16) | (colAgent=9&rowAgent=16) | (colAgent=10&rowAgent=16) | (colAgent=11&rowAgent=16) | (colAgent=12&rowAgent=16) | (colAgent=22&rowAgent=16) | (colAgent=23&rowAgent=16) | (colAgent=24&rowAgent=16) | (colAgent=25&rowAgent=16) | (colAgent=22&rowAgent=17) | (colAgent=23&rowAgent=17) | (colAgent=24&rowAgent=17) | (colAgent=25&rowAgent=17);
+formula AgentIsOnGoal = (colAgent=25&rowAgent=10);
+init
+ true
+endinit
+
+
+module Agent
+ colAgent : [1..25];
+ rowAgent : [1..20];
+ viewAgent : [0..3];
+
+ [Agent_turn_right] !AgentIsOnSlippery & !AgentIsOnLava &true -> 1.000000: (viewAgent'=mod(viewAgent+1,4));
+ [Agent_turn_left] !AgentIsOnSlippery & !AgentIsOnLava &viewAgent>0 -> 1.000000: (viewAgent'=viewAgent-1);
+ [Agent_turn_left] !AgentIsOnSlippery & !AgentIsOnLava &viewAgent=0 -> 1.000000: (viewAgent'=3);
+ [Agent_move_North] viewAgent=3 & !AgentIsOnSlippery & !AgentIsOnLava & !AgentIsOnGoal & !AgentCannotMoveNorthWall -> 1.000000: (rowAgent'=rowAgent-1);
+ [Agent_move_East] viewAgent=0 & !AgentIsOnSlippery & !AgentIsOnLava & !AgentIsOnGoal & !AgentCannotMoveEastWall -> 1.000000: (colAgent'=colAgent+1);
+ [Agent_move_South] viewAgent=1 & !AgentIsOnSlippery & !AgentIsOnLava & !AgentIsOnGoal & !AgentCannotMoveSouthWall -> 1.000000: (rowAgent'=rowAgent+1);
+ [Agent_move_West] viewAgent=2 & !AgentIsOnSlippery & !AgentIsOnLava & !AgentIsOnGoal & !AgentCannotMoveWestWall -> 1.000000: (colAgent'=colAgent-1);
+ [Agent_move_North] viewAgent=3 & AgentIsOnSlipperyNorth & !AgentCannotSlipNorth & !AgentCannotSlipNorthEast & !AgentCannotSlipNorthWest -> 0.950000: (rowAgent'=rowAgent-1) + 0.025000: (rowAgent'=rowAgent-1)&(colAgent'=colAgent+1) + 0.025000: (rowAgent'=rowAgent-1)&(colAgent'=colAgent-1);
+ [Agent_move_North] viewAgent=3 & AgentIsOnSlipperyNorth & AgentCannotSlipNorth & !AgentCannotSlipNorthEast & !AgentCannotSlipNorthWest -> 0.000000: (rowAgent'=rowAgent-1)&(colAgent'=colAgent+1) + 0.000000: (rowAgent'=rowAgent-1)&(colAgent'=colAgent-1);
+ [Agent_move_North] viewAgent=3 & AgentIsOnSlipperyNorth & !AgentCannotSlipNorth & AgentCannotSlipNorthEast & !AgentCannotSlipNorthWest -> 0.950000: (rowAgent'=rowAgent-1) + 0.050000: (rowAgent'=rowAgent-1)&(colAgent'=colAgent-1);
+ [Agent_move_North] viewAgent=3 & AgentIsOnSlipperyNorth & !AgentCannotSlipNorth & !AgentCannotSlipNorthEast & AgentCannotSlipNorthWest -> 0.950000: (rowAgent'=rowAgent-1) + 0.050000: (rowAgent'=rowAgent-1)&(colAgent'=colAgent+1);
+ [Agent_move_North] viewAgent=3 & AgentIsOnSlipperyNorth & AgentCannotSlipNorth & AgentCannotSlipNorthEast & !AgentCannotSlipNorthWest -> 1.000000: (rowAgent'=rowAgent-1)&(colAgent'=colAgent-1);
+ [Agent_move_North] viewAgent=3 & AgentIsOnSlipperyNorth & !AgentCannotSlipNorth & AgentCannotSlipNorthEast & AgentCannotSlipNorthWest -> 1.000000: (rowAgent'=rowAgent-1);
+ [Agent_move_North] viewAgent=3 & AgentIsOnSlipperyNorth & AgentCannotSlipNorth & !AgentCannotSlipNorthEast & AgentCannotSlipNorthWest -> 1.000000: (rowAgent'=rowAgent-1)&(colAgent'=colAgent+1);
+ [Agent_move_North] viewAgent=3 & AgentIsOnSlipperyNorth & AgentCannotSlipNorth & AgentCannotSlipNorthEast & AgentCannotSlipNorthWest -> true;
+ [Agent_move_West] viewAgent=2 & AgentIsOnSlipperyNorth & !AgentCannotSlipWest & !AgentCannotSlipNorthWest -> 0.950000: (colAgent'=colAgent-1) + 0.050000: (colAgent'=colAgent-1)&(rowAgent'=rowAgent-1);
+ [Agent_move_West] viewAgent=2 & AgentIsOnSlipperyNorth & AgentCannotSlipWest & !AgentCannotSlipNorthWest -> 1.000000: (colAgent'=colAgent-1)&(rowAgent'=rowAgent-1);
+ [Agent_move_West] viewAgent=2 & AgentIsOnSlipperyNorth & !AgentCannotSlipWest & AgentCannotSlipNorthWest -> 1.000000: (colAgent'=colAgent-1);
+ [Agent_move_West] viewAgent=2 & AgentIsOnSlipperyNorth & AgentCannotSlipWest & AgentCannotSlipNorthWest -> true;
+ [Agent_move_East] viewAgent=0 & AgentIsOnSlipperyNorth & !AgentCannotSlipEast & !AgentCannotSlipNorthEast -> 0.950000: (colAgent'=colAgent+1) + 0.050000: (colAgent'=colAgent+1)&(rowAgent'=rowAgent-1);
+ [Agent_move_East] viewAgent=0 & AgentIsOnSlipperyNorth & AgentCannotSlipEast & !AgentCannotSlipNorthEast -> 1.000000: (colAgent'=colAgent+1)&(rowAgent'=rowAgent-1);
+ [Agent_move_East] viewAgent=0 & AgentIsOnSlipperyNorth & !AgentCannotSlipEast & AgentCannotSlipNorthEast -> 1.000000: (colAgent'=colAgent+1);
+ [Agent_move_East] viewAgent=0 & AgentIsOnSlipperyNorth & AgentCannotSlipEast & AgentCannotSlipNorthEast -> true;
+ [Agent_move_South] viewAgent=1 & AgentIsOnSlipperyNorth & !AgentCannotSlipSouth -> 0.950000: (rowAgent'=rowAgent+1) + 0.050000: true;
+ [Agent_move_South] viewAgent=1 & AgentIsOnSlipperyNorth & AgentCannotSlipSouth -> 1.000000: true;
+ [Agent_turn_right] AgentIsOnSlipperyNorth & !AgentCannotSlipNorth & true -> 0.950000: (viewAgent'=mod(viewAgent+1,4)) + 0.050000: (rowAgent'=rowAgent-1);
+ [Agent_turn_right] AgentIsOnSlipperyNorth & AgentCannotSlipNorth & true -> 1.000000: (viewAgent'=mod(viewAgent+1,4));
+ [Agent_turn_left] AgentIsOnSlipperyNorth & !AgentCannotSlipNorth & viewAgent>0 -> 0.950000: (viewAgent'=viewAgent-1) + 0.050000: (rowAgent'=rowAgent-1);
+ [Agent_turn_left] AgentIsOnSlipperyNorth & !AgentCannotSlipNorth & viewAgent=0 -> 0.950000: (viewAgent'=3) + 0.050000: (rowAgent'=rowAgent-1);
+ [Agent_turn_left] AgentIsOnSlipperyNorth & AgentCannotSlipNorth & viewAgent>0 -> 1.000000: (viewAgent'=viewAgent-1);
+ [Agent_turn_left] AgentIsOnSlipperyNorth & AgentCannotSlipNorth & viewAgent=0 -> 1.000000: (viewAgent'=3);
+ [Agent_move_East] viewAgent=0 & AgentIsOnSlipperyEast & !AgentCannotSlipEast & !AgentCannotSlipSouthEast & !AgentCannotSlipNorthEast -> 0.950000: (colAgent'=colAgent+1) + 0.025000: (colAgent'=colAgent+1)&(rowAgent'=rowAgent+1) + 0.025000: (colAgent'=colAgent+1)&(rowAgent'=rowAgent-1);
+ [Agent_move_East] viewAgent=0 & AgentIsOnSlipperyEast & AgentCannotSlipEast & !AgentCannotSlipSouthEast & !AgentCannotSlipNorthEast -> 0.000000: (colAgent'=colAgent+1)&(rowAgent'=rowAgent+1) + 0.000000: (colAgent'=colAgent+1)&(rowAgent'=rowAgent-1);
+ [Agent_move_East] viewAgent=0 & AgentIsOnSlipperyEast & !AgentCannotSlipEast & AgentCannotSlipSouthEast & !AgentCannotSlipNorthEast -> 0.950000: (colAgent'=colAgent+1) + 0.050000: (colAgent'=colAgent+1)&(rowAgent'=rowAgent-1);
+ [Agent_move_East] viewAgent=0 & AgentIsOnSlipperyEast & !AgentCannotSlipEast & !AgentCannotSlipSouthEast & AgentCannotSlipNorthEast -> 0.950000: (colAgent'=colAgent+1) + 0.050000: (colAgent'=colAgent+1)&(rowAgent'=rowAgent+1);
+ [Agent_move_East] viewAgent=0 & AgentIsOnSlipperyEast & AgentCannotSlipEast & AgentCannotSlipSouthEast & !AgentCannotSlipNorthEast -> 1.000000: (colAgent'=colAgent+1)&(rowAgent'=rowAgent-1);
+ [Agent_move_East] viewAgent=0 & AgentIsOnSlipperyEast & !AgentCannotSlipEast & AgentCannotSlipSouthEast & AgentCannotSlipNorthEast -> 1.000000: (colAgent'=colAgent+1);
+ [Agent_move_East] viewAgent=0 & AgentIsOnSlipperyEast & AgentCannotSlipEast & !AgentCannotSlipSouthEast & AgentCannotSlipNorthEast -> 1.000000: (colAgent'=colAgent+1)&(rowAgent'=rowAgent+1);
+ [Agent_move_East] viewAgent=0 & AgentIsOnSlipperyEast & AgentCannotSlipEast & AgentCannotSlipSouthEast & AgentCannotSlipNorthEast -> true;
+ [Agent_move_North] viewAgent=3 & AgentIsOnSlipperyEast & !AgentCannotSlipNorth & !AgentCannotSlipNorthEast -> 0.950000: (rowAgent'=rowAgent-1) + 0.050000: (colAgent'=colAgent+1)&(rowAgent'=rowAgent-1);
+ [Agent_move_North] viewAgent=3 & AgentIsOnSlipperyEast & AgentCannotSlipNorth & !AgentCannotSlipNorthEast -> 1.000000: (colAgent'=colAgent+1)&(rowAgent'=rowAgent-1);
+ [Agent_move_North] viewAgent=3 & AgentIsOnSlipperyEast & !AgentCannotSlipNorth & AgentCannotSlipNorthEast -> 1.000000: (rowAgent'=rowAgent-1);
+ [Agent_move_North] viewAgent=3 & AgentIsOnSlipperyEast & AgentCannotSlipNorth & AgentCannotSlipNorthEast -> true;
+ [Agent_move_South] viewAgent=1 & AgentIsOnSlipperyEast & !AgentCannotSlipSouth & !AgentCannotSlipSouthEast -> 0.950000: (rowAgent'=rowAgent+1) + 0.050000: (colAgent'=colAgent+1)&(rowAgent'=rowAgent+1);
+ [Agent_move_South] viewAgent=1 & AgentIsOnSlipperyEast & AgentCannotSlipSouth & !AgentCannotSlipSouthEast -> 1.000000: (colAgent'=colAgent+1)&(rowAgent'=rowAgent+1);
+ [Agent_move_South] viewAgent=1 & AgentIsOnSlipperyEast & !AgentCannotSlipSouth & AgentCannotSlipSouthEast -> 1.000000: (rowAgent'=rowAgent+1);
+ [Agent_move_South] viewAgent=1 & AgentIsOnSlipperyEast & AgentCannotSlipSouth & AgentCannotSlipSouthEast -> true;
+ [Agent_move_West] viewAgent=2 & AgentIsOnSlipperyEast & !AgentCannotSlipEast -> 0.950000: (colAgent'=colAgent+1) + 0.050000: true;
+ [Agent_move_West] viewAgent=2 & AgentIsOnSlipperyEast & AgentCannotSlipEast -> 1.000000: true;
+ [Agent_turn_right] AgentIsOnSlipperyEast & !AgentCannotSlipEast & true -> 0.950000: (viewAgent'=mod(viewAgent+1,4)) + 0.050000: (colAgent'=colAgent+1);
+ [Agent_turn_right] AgentIsOnSlipperyEast & AgentCannotSlipEast & true -> 1.000000: (viewAgent'=mod(viewAgent+1,4));
+ [Agent_turn_left] AgentIsOnSlipperyEast & !AgentCannotSlipEast & viewAgent>0 -> 0.950000: (viewAgent'=viewAgent-1) + 0.050000: (colAgent'=colAgent+1);
+ [Agent_turn_left] AgentIsOnSlipperyEast & !AgentCannotSlipEast & viewAgent=0 -> 0.950000: (viewAgent'=3) + 0.050000: (colAgent'=colAgent+1);
+ [Agent_turn_left] AgentIsOnSlipperyEast & AgentCannotSlipEast & viewAgent>0 -> 1.000000: (viewAgent'=viewAgent-1);
+ [Agent_turn_left] AgentIsOnSlipperyEast & AgentCannotSlipEast & viewAgent=0 -> 1.000000: (viewAgent'=3);
+ [Agent_move_South] viewAgent=1 & AgentIsOnSlipperySouth & !AgentCannotSlipSouth & !AgentCannotSlipSouthEast & !AgentCannotSlipSouthWest -> 0.950000: (rowAgent'=rowAgent+1) + 0.025000: (rowAgent'=rowAgent+1)&(colAgent'=colAgent+1) + 0.025000: (rowAgent'=rowAgent+1)&(colAgent'=colAgent-1);
+ [Agent_move_South] viewAgent=1 & AgentIsOnSlipperySouth & AgentCannotSlipSouth & !AgentCannotSlipSouthEast & !AgentCannotSlipSouthWest -> 0.000000: (rowAgent'=rowAgent+1)&(colAgent'=colAgent+1) + 0.000000: (rowAgent'=rowAgent+1)&(colAgent'=colAgent-1);
+ [Agent_move_South] viewAgent=1 & AgentIsOnSlipperySouth & !AgentCannotSlipSouth & AgentCannotSlipSouthEast & !AgentCannotSlipSouthWest -> 0.950000: (rowAgent'=rowAgent+1) + 0.050000: (rowAgent'=rowAgent+1)&(colAgent'=colAgent-1);
+ [Agent_move_South] viewAgent=1 & AgentIsOnSlipperySouth & !AgentCannotSlipSouth & !AgentCannotSlipSouthEast & AgentCannotSlipSouthWest -> 0.950000: (rowAgent'=rowAgent+1) + 0.050000: (rowAgent'=rowAgent+1)&(colAgent'=colAgent+1);
+ [Agent_move_South] viewAgent=1 & AgentIsOnSlipperySouth & AgentCannotSlipSouth & AgentCannotSlipSouthEast & !AgentCannotSlipSouthWest -> 1.000000: (rowAgent'=rowAgent+1)&(colAgent'=colAgent-1);
+ [Agent_move_South] viewAgent=1 & AgentIsOnSlipperySouth & !AgentCannotSlipSouth & AgentCannotSlipSouthEast & AgentCannotSlipSouthWest -> 1.000000: (rowAgent'=rowAgent+1);
+ [Agent_move_South] viewAgent=1 & AgentIsOnSlipperySouth & AgentCannotSlipSouth & !AgentCannotSlipSouthEast & AgentCannotSlipSouthWest -> 1.000000: (rowAgent'=rowAgent+1)&(colAgent'=colAgent+1);
+ [Agent_move_South] viewAgent=1 & AgentIsOnSlipperySouth & AgentCannotSlipSouth & AgentCannotSlipSouthEast & AgentCannotSlipSouthWest -> true;
+ [Agent_move_West] viewAgent=2 & AgentIsOnSlipperySouth & !AgentCannotSlipWest & !AgentCannotSlipSouthWest -> 0.950000: (colAgent'=colAgent-1) + 0.050000: (colAgent'=colAgent-1)&(rowAgent'=rowAgent+1);
+ [Agent_move_West] viewAgent=2 & AgentIsOnSlipperySouth & AgentCannotSlipWest & !AgentCannotSlipSouthWest -> 1.000000: (colAgent'=colAgent-1)&(rowAgent'=rowAgent+1);
+ [Agent_move_West] viewAgent=2 & AgentIsOnSlipperySouth & !AgentCannotSlipWest & AgentCannotSlipSouthWest -> 1.000000: (colAgent'=colAgent-1);
+ [Agent_move_West] viewAgent=2 & AgentIsOnSlipperySouth & AgentCannotSlipWest & AgentCannotSlipSouthWest -> true;
+ [Agent_move_East] viewAgent=0 & AgentIsOnSlipperySouth & !AgentCannotSlipEast & !AgentCannotSlipSouthEast -> 0.950000: (colAgent'=colAgent+1) + 0.050000: (colAgent'=colAgent+1)&(rowAgent'=rowAgent+1);
+ [Agent_move_East] viewAgent=0 & AgentIsOnSlipperySouth & AgentCannotSlipEast & !AgentCannotSlipSouthEast -> 1.000000: (colAgent'=colAgent+1)&(rowAgent'=rowAgent+1);
+ [Agent_move_East] viewAgent=0 & AgentIsOnSlipperySouth & !AgentCannotSlipEast & AgentCannotSlipSouthEast -> 1.000000: (colAgent'=colAgent+1);
+ [Agent_move_East] viewAgent=0 & AgentIsOnSlipperySouth & AgentCannotSlipEast & AgentCannotSlipSouthEast -> true;
+ [Agent_move_North] viewAgent=3 & AgentIsOnSlipperySouth & !AgentCannotSlipSouth -> 0.950000: (rowAgent'=rowAgent-1) + 0.050000: true;
+ [Agent_move_North] viewAgent=3 & AgentIsOnSlipperySouth & AgentCannotSlipSouth -> 1.000000: true;
+ [Agent_turn_right] AgentIsOnSlipperySouth & !AgentCannotSlipSouth & true -> 0.950000: (viewAgent'=mod(viewAgent+1,4)) + 0.050000: (rowAgent'=rowAgent+1);
+ [Agent_turn_right] AgentIsOnSlipperySouth & AgentCannotSlipSouth & true -> 1.000000: (viewAgent'=mod(viewAgent+1,4));
+ [Agent_turn_left] AgentIsOnSlipperySouth & !AgentCannotSlipSouth & viewAgent>0 -> 0.950000: (viewAgent'=viewAgent-1) + 0.050000: (rowAgent'=rowAgent+1);
+ [Agent_turn_left] AgentIsOnSlipperySouth & !AgentCannotSlipSouth & viewAgent=0 -> 0.950000: (viewAgent'=3) + 0.050000: (rowAgent'=rowAgent+1);
+ [Agent_turn_left] AgentIsOnSlipperySouth & AgentCannotSlipSouth & viewAgent>0 -> 1.000000: (viewAgent'=viewAgent-1);
+ [Agent_turn_left] AgentIsOnSlipperySouth & AgentCannotSlipSouth & viewAgent=0 -> 1.000000: (viewAgent'=3);
+ [Agent_move_West] viewAgent=2 & AgentIsOnSlipperyWest & !AgentCannotSlipWest & !AgentCannotSlipSouthWest & !AgentCannotSlipNorthWest -> 0.950000: (colAgent'=colAgent-1) + 0.025000: (colAgent'=colAgent-1)&(rowAgent'=rowAgent+1) + 0.025000: (colAgent'=colAgent-1)&(rowAgent'=rowAgent-1);
+ [Agent_move_West] viewAgent=2 & AgentIsOnSlipperyWest & AgentCannotSlipWest & !AgentCannotSlipSouthWest & !AgentCannotSlipNorthWest -> 0.000000: (colAgent'=colAgent-1)&(rowAgent'=rowAgent+1) + 0.000000: (colAgent'=colAgent-1)&(rowAgent'=rowAgent-1);
+ [Agent_move_West] viewAgent=2 & AgentIsOnSlipperyWest & !AgentCannotSlipWest & AgentCannotSlipSouthWest & !AgentCannotSlipNorthWest -> 0.950000: (colAgent'=colAgent-1) + 0.050000: (colAgent'=colAgent-1)&(rowAgent'=rowAgent-1);
+ [Agent_move_West] viewAgent=2 & AgentIsOnSlipperyWest & !AgentCannotSlipWest & !AgentCannotSlipSouthWest & AgentCannotSlipNorthWest -> 0.950000: (colAgent'=colAgent-1) + 0.050000: (colAgent'=colAgent-1)&(rowAgent'=rowAgent+1);
+ [Agent_move_West] viewAgent=2 & AgentIsOnSlipperyWest & AgentCannotSlipWest & AgentCannotSlipSouthWest & !AgentCannotSlipNorthWest -> 1.000000: (colAgent'=colAgent-1)&(rowAgent'=rowAgent-1);
+ [Agent_move_West] viewAgent=2 & AgentIsOnSlipperyWest & !AgentCannotSlipWest & AgentCannotSlipSouthWest & AgentCannotSlipNorthWest -> 1.000000: (colAgent'=colAgent-1);
+ [Agent_move_West] viewAgent=2 & AgentIsOnSlipperyWest & AgentCannotSlipWest & !AgentCannotSlipSouthWest & AgentCannotSlipNorthWest -> 1.000000: (colAgent'=colAgent-1)&(rowAgent'=rowAgent+1);
+ [Agent_move_West] viewAgent=2 & AgentIsOnSlipperyWest & AgentCannotSlipWest & AgentCannotSlipSouthWest & AgentCannotSlipNorthWest -> true;
+ [Agent_move_North] viewAgent=3 & AgentIsOnSlipperyWest & !AgentCannotSlipNorth & !AgentCannotSlipNorthWest -> 0.950000: (rowAgent'=rowAgent-1) + 0.050000: (colAgent'=colAgent-1)&(rowAgent'=rowAgent-1);
+ [Agent_move_North] viewAgent=3 & AgentIsOnSlipperyWest & AgentCannotSlipNorth & !AgentCannotSlipNorthWest -> 1.000000: (colAgent'=colAgent-1)&(rowAgent'=rowAgent-1);
+ [Agent_move_North] viewAgent=3 & AgentIsOnSlipperyWest & !AgentCannotSlipNorth & AgentCannotSlipNorthWest -> 1.000000: (rowAgent'=rowAgent-1);
+ [Agent_move_North] viewAgent=3 & AgentIsOnSlipperyWest & AgentCannotSlipNorth & AgentCannotSlipNorthWest -> true;
+ [Agent_move_South] viewAgent=1 & AgentIsOnSlipperyWest & !AgentCannotSlipSouth & !AgentCannotSlipSouthWest -> 0.950000: (rowAgent'=rowAgent+1) + 0.050000: (colAgent'=colAgent-1)&(rowAgent'=rowAgent+1);
+ [Agent_move_South] viewAgent=1 & AgentIsOnSlipperyWest & AgentCannotSlipSouth & !AgentCannotSlipSouthWest -> 1.000000: (colAgent'=colAgent-1)&(rowAgent'=rowAgent+1);
+ [Agent_move_South] viewAgent=1 & AgentIsOnSlipperyWest & !AgentCannotSlipSouth & AgentCannotSlipSouthWest -> 1.000000: (rowAgent'=rowAgent+1);
+ [Agent_move_South] viewAgent=1 & AgentIsOnSlipperyWest & AgentCannotSlipSouth & AgentCannotSlipSouthWest -> true;
+ [Agent_move_East] viewAgent=0 & AgentIsOnSlipperyWest & !AgentCannotSlipWest -> 0.950000: (colAgent'=colAgent-1) + 0.050000: true;
+ [Agent_move_East] viewAgent=0 & AgentIsOnSlipperyWest & AgentCannotSlipWest -> 1.000000: true;
+ [Agent_turn_right] AgentIsOnSlipperyWest & !AgentCannotSlipWest & true -> 0.950000: (viewAgent'=mod(viewAgent+1,4)) + 0.050000: (colAgent'=colAgent-1);
+ [Agent_turn_right] AgentIsOnSlipperyWest & AgentCannotSlipWest & true -> 1.000000: (viewAgent'=mod(viewAgent+1,4));
+ [Agent_turn_left] AgentIsOnSlipperyWest & !AgentCannotSlipWest & viewAgent>0 -> 0.950000: (viewAgent'=viewAgent-1) + 0.050000: (colAgent'=colAgent-1);
+ [Agent_turn_left] AgentIsOnSlipperyWest & !AgentCannotSlipWest & viewAgent=0 -> 0.950000: (viewAgent'=3) + 0.050000: (colAgent'=colAgent-1);
+ [Agent_turn_left] AgentIsOnSlipperyWest & AgentCannotSlipWest & viewAgent>0 -> 1.000000: (viewAgent'=viewAgent-1);
+ [Agent_turn_left] AgentIsOnSlipperyWest & AgentCannotSlipWest & viewAgent=0 -> 1.000000: (viewAgent'=3);
+ [Agent_move_East] viewAgent=0 & AgentIsOnSlipperyNorthEast & !AgentCannotSlipNorthEast & !AgentCannotSlipEast -> 0.950000: (colAgent'=colAgent+1) + 0.050000: (rowAgent'=rowAgent-1)&(colAgent'=colAgent+1);
+ [Agent_move_East] viewAgent=0 & AgentIsOnSlipperyNorthEast & !AgentCannotSlipNorthEast & AgentCannotSlipEast -> 1.000000: (rowAgent'=rowAgent-1)&(colAgent'=colAgent+1);
+ [Agent_move_East] viewAgent=0 & AgentIsOnSlipperyNorthEast & AgentCannotSlipNorthEast & !AgentCannotSlipEast -> 1.000000: (colAgent'=colAgent+1);
+ [Agent_move_East] viewAgent=0 & AgentIsOnSlipperyNorthEast & AgentCannotSlipNorthEast & AgentCannotSlipEast -> 1.000000: true;
+ [Agent_move_North] viewAgent=3 & AgentIsOnSlipperyNorthEast & !AgentCannotSlipNorthEast & !AgentCannotSlipNorth -> 0.950000: (rowAgent'=rowAgent-1) + 0.050000: (colAgent'=colAgent+1)&(rowAgent'=rowAgent-1);
+ [Agent_move_North] viewAgent=3 & AgentIsOnSlipperyNorthEast & !AgentCannotSlipNorthEast & AgentCannotSlipNorth -> 1.000000: (rowAgent'=rowAgent-1)&(colAgent'=colAgent+1);
+ [Agent_move_North] viewAgent=3 & AgentIsOnSlipperyNorthEast & AgentCannotSlipNorthEast & !AgentCannotSlipNorth -> 1.000000: (rowAgent'=rowAgent-1);
+ [Agent_move_North] viewAgent=3 & AgentIsOnSlipperyNorthEast & AgentCannotSlipNorthEast & AgentCannotSlipNorth -> 1.000000: true;
+ [Agent_move_South] viewAgent=1 & AgentIsOnSlipperyNorthEast & !AgentCannotSlipNorthEast & !AgentCannotSlipEast & !AgentCannotSlipSouthEast & !AgentCannotSlipSouth -> 0.950000: (rowAgent'=rowAgent+1) + 0.016667: (rowAgent'=rowAgent-1)&(colAgent'=colAgent+1) + 0.016667: (colAgent'=colAgent+1) + 0.016667: (rowAgent'=rowAgent+1)&(colAgent'=colAgent+1);
+ [Agent_move_South] viewAgent=1 & AgentIsOnSlipperyNorthEast & !AgentCannotSlipNorthEast & !AgentCannotSlipEast & !AgentCannotSlipSouthEast & AgentCannotSlipSouth -> 0.333333: (rowAgent'=rowAgent-1)&(colAgent'=colAgent+1) + 0.333333: (colAgent'=colAgent+1) + 0.333333: (rowAgent'=rowAgent+1)&(colAgent'=colAgent+1);
+ [Agent_move_South] viewAgent=1 & AgentIsOnSlipperyNorthEast & !AgentCannotSlipNorthEast & !AgentCannotSlipEast & AgentCannotSlipSouthEast & !AgentCannotSlipSouth -> 0.982759: (rowAgent'=rowAgent+1) + 0.050847: (rowAgent'=rowAgent-1)&(colAgent'=colAgent+1) + 0.050847: (colAgent'=colAgent+1);
+ [Agent_move_South] viewAgent=1 & AgentIsOnSlipperyNorthEast & !AgentCannotSlipNorthEast & !AgentCannotSlipEast & AgentCannotSlipSouthEast & AgentCannotSlipSouth -> 0.500000: (rowAgent'=rowAgent-1)&(colAgent'=colAgent+1) + 0.500000: (colAgent'=colAgent+1);
+ [Agent_move_South] viewAgent=1 & AgentIsOnSlipperyNorthEast & !AgentCannotSlipNorthEast & AgentCannotSlipEast & !AgentCannotSlipSouthEast & !AgentCannotSlipSouth -> 0.982759: (rowAgent'=rowAgent+1) + 0.050847: (rowAgent'=rowAgent-1)&(colAgent'=colAgent+1) + 0.050847: (rowAgent'=rowAgent+1)&(colAgent'=colAgent+1);
+ [Agent_move_South] viewAgent=1 & AgentIsOnSlipperyNorthEast & !AgentCannotSlipNorthEast & AgentCannotSlipEast & !AgentCannotSlipSouthEast & AgentCannotSlipSouth -> 0.500000: (rowAgent'=rowAgent-1)&(colAgent'=colAgent+1) + 0.500000: (rowAgent'=rowAgent+1)&(colAgent'=colAgent+1);
+ [Agent_move_South] viewAgent=1 & AgentIsOnSlipperyNorthEast & !AgentCannotSlipNorthEast & AgentCannotSlipEast & AgentCannotSlipSouthEast & !AgentCannotSlipSouth -> 0.982759: (rowAgent'=rowAgent+1) + 0.051724: (rowAgent'=rowAgent-1)&(colAgent'=colAgent+1);
+ [Agent_move_South] viewAgent=1 & AgentIsOnSlipperyNorthEast & !AgentCannotSlipNorthEast & AgentCannotSlipEast & AgentCannotSlipSouthEast & AgentCannotSlipSouth -> 1.000000: (rowAgent'=rowAgent-1)&(colAgent'=colAgent+1);
+ [Agent_move_South] viewAgent=1 & AgentIsOnSlipperyNorthEast & AgentCannotSlipNorthEast & !AgentCannotSlipEast & !AgentCannotSlipSouthEast & !AgentCannotSlipSouth -> 0.982759: (rowAgent'=rowAgent+1) + 0.050847: (colAgent'=colAgent+1) + 0.050847: (rowAgent'=rowAgent+1)&(colAgent'=colAgent+1);
+ [Agent_move_South] viewAgent=1 & AgentIsOnSlipperyNorthEast & AgentCannotSlipNorthEast & !AgentCannotSlipEast & !AgentCannotSlipSouthEast & AgentCannotSlipSouth -> 0.500000: (colAgent'=colAgent+1) + 0.500000: (rowAgent'=rowAgent+1)&(colAgent'=colAgent+1);
+ [Agent_move_South] viewAgent=1 & AgentIsOnSlipperyNorthEast & AgentCannotSlipNorthEast & !AgentCannotSlipEast & AgentCannotSlipSouthEast & !AgentCannotSlipSouth -> 0.982759: (rowAgent'=rowAgent+1) + 0.051724: (colAgent'=colAgent+1);
+ [Agent_move_South] viewAgent=1 & AgentIsOnSlipperyNorthEast & AgentCannotSlipNorthEast & !AgentCannotSlipEast & AgentCannotSlipSouthEast & AgentCannotSlipSouth -> 1.000000: (colAgent'=colAgent+1);
+ [Agent_move_South] viewAgent=1 & AgentIsOnSlipperyNorthEast & AgentCannotSlipNorthEast & AgentCannotSlipEast & !AgentCannotSlipSouthEast & !AgentCannotSlipSouth -> 0.982759: (rowAgent'=rowAgent+1) + 0.051724: (rowAgent'=rowAgent+1)&(colAgent'=colAgent+1);
+ [Agent_move_South] viewAgent=1 & AgentIsOnSlipperyNorthEast & AgentCannotSlipNorthEast & AgentCannotSlipEast & !AgentCannotSlipSouthEast & AgentCannotSlipSouth -> 1.000000: (rowAgent'=rowAgent+1)&(colAgent'=colAgent+1);
+ [Agent_move_South] viewAgent=1 & AgentIsOnSlipperyNorthEast & AgentCannotSlipNorthEast & AgentCannotSlipEast & AgentCannotSlipSouthEast & !AgentCannotSlipSouth -> 1.000000: (rowAgent'=rowAgent+1);
+ [Agent_move_South] viewAgent=1 & AgentIsOnSlipperyNorthEast & AgentCannotSlipNorthEast & AgentCannotSlipEast & AgentCannotSlipSouthEast & AgentCannotSlipSouth -> 1.000000: true;
+ [Agent_move_West] viewAgent=2 & AgentIsOnSlipperyNorthEast & !AgentCannotSlipWest & !AgentCannotSlipNorthWest & !AgentCannotSlipNorth & !AgentCannotSlipNorthEast -> 0.950000: (colAgent'=colAgent-1) + 0.016667: (rowAgent'=rowAgent-1)&(colAgent'=colAgent-1) + 0.016667: (rowAgent'=rowAgent-1) + 0.016667: (rowAgent'=rowAgent-1)&(colAgent'=colAgent+1);
+ [Agent_move_West] viewAgent=2 & AgentIsOnSlipperyNorthEast & !AgentCannotSlipWest & !AgentCannotSlipNorthWest & !AgentCannotSlipNorth & AgentCannotSlipNorthEast -> 0.966102: (colAgent'=colAgent-1) + 0.050847: (rowAgent'=rowAgent-1)&(colAgent'=colAgent-1) + 0.050847: (rowAgent'=rowAgent-1);
+ [Agent_move_West] viewAgent=2 & AgentIsOnSlipperyNorthEast & !AgentCannotSlipWest & !AgentCannotSlipNorthWest & AgentCannotSlipNorth & !AgentCannotSlipNorthEast -> 0.966102: (colAgent'=colAgent-1) + 0.050847: (rowAgent'=rowAgent-1)&(colAgent'=colAgent-1) + 0.050847: (rowAgent'=rowAgent-1)&(colAgent'=colAgent+1);
+ [Agent_move_West] viewAgent=2 & AgentIsOnSlipperyNorthEast & !AgentCannotSlipWest & !AgentCannotSlipNorthWest & AgentCannotSlipNorth & AgentCannotSlipNorthEast -> 0.982759: (colAgent'=colAgent-1) + 0.051724: (rowAgent'=rowAgent-1)&(colAgent'=colAgent-1);
+ [Agent_move_West] viewAgent=2 & AgentIsOnSlipperyNorthEast & !AgentCannotSlipWest & AgentCannotSlipNorthWest & !AgentCannotSlipNorth & !AgentCannotSlipNorthEast -> 0.966102: (colAgent'=colAgent-1) + 0.050847: (rowAgent'=rowAgent-1) + 0.050847: (rowAgent'=rowAgent-1)&(colAgent'=colAgent+1);
+ [Agent_move_West] viewAgent=2 & AgentIsOnSlipperyNorthEast & !AgentCannotSlipWest & AgentCannotSlipNorthWest & !AgentCannotSlipNorth & AgentCannotSlipNorthEast -> 0.982759: (colAgent'=colAgent-1) + 0.051724: (rowAgent'=rowAgent-1);
+ [Agent_move_West] viewAgent=2 & AgentIsOnSlipperyNorthEast & !AgentCannotSlipWest & AgentCannotSlipNorthWest & AgentCannotSlipNorth & !AgentCannotSlipNorthEast -> 0.982759: (colAgent'=colAgent-1) + 0.051724: (rowAgent'=rowAgent-1)&(colAgent'=colAgent+1);
+ [Agent_move_West] viewAgent=2 & AgentIsOnSlipperyNorthEast & !AgentCannotSlipWest & AgentCannotSlipNorthWest & AgentCannotSlipNorth & AgentCannotSlipNorthEast -> 1.000000: (colAgent'=colAgent-1);
+ [Agent_move_West] viewAgent=2 & AgentIsOnSlipperyNorthEast & AgentCannotSlipWest & !AgentCannotSlipNorthWest & !AgentCannotSlipNorth & !AgentCannotSlipNorthEast -> 0.333333: (rowAgent'=rowAgent-1)&(colAgent'=colAgent-1) + 0.333333: (rowAgent'=rowAgent-1) + 0.333333: (rowAgent'=rowAgent-1)&(colAgent'=colAgent+1);
+ [Agent_move_West] viewAgent=2 & AgentIsOnSlipperyNorthEast & AgentCannotSlipWest & !AgentCannotSlipNorthWest & !AgentCannotSlipNorth & AgentCannotSlipNorthEast -> 0.500000: (rowAgent'=rowAgent-1)&(colAgent'=colAgent-1) + 0.500000: (rowAgent'=rowAgent-1);
+ [Agent_move_West] viewAgent=2 & AgentIsOnSlipperyNorthEast & AgentCannotSlipWest & !AgentCannotSlipNorthWest & AgentCannotSlipNorth & !AgentCannotSlipNorthEast -> 0.500000: (rowAgent'=rowAgent-1)&(colAgent'=colAgent-1) + 0.500000: (rowAgent'=rowAgent-1)&(colAgent'=colAgent+1);
+ [Agent_move_West] viewAgent=2 & AgentIsOnSlipperyNorthEast & AgentCannotSlipWest & !AgentCannotSlipNorthWest & AgentCannotSlipNorth & AgentCannotSlipNorthEast -> 1.000000: (rowAgent'=rowAgent-1)&(colAgent'=colAgent-1);
+ [Agent_move_West] viewAgent=2 & AgentIsOnSlipperyNorthEast & AgentCannotSlipWest & AgentCannotSlipNorthWest & !AgentCannotSlipNorth & !AgentCannotSlipNorthEast -> 0.500000: (rowAgent'=rowAgent-1) + 0.500000: (rowAgent'=rowAgent-1)&(colAgent'=colAgent+1);
+ [Agent_move_West] viewAgent=2 & AgentIsOnSlipperyNorthEast & AgentCannotSlipWest & AgentCannotSlipNorthWest & !AgentCannotSlipNorth & AgentCannotSlipNorthEast -> 1.000000: (rowAgent'=rowAgent-1);
+ [Agent_move_West] viewAgent=2 & AgentIsOnSlipperyNorthEast & AgentCannotSlipWest & AgentCannotSlipNorthWest & AgentCannotSlipNorth & !AgentCannotSlipNorthEast -> 1.000000: (rowAgent'=rowAgent-1)&(colAgent'=colAgent+1);
+ [Agent_move_West] viewAgent=2 & AgentIsOnSlipperyNorthEast & AgentCannotSlipWest & AgentCannotSlipNorthWest & AgentCannotSlipNorth & AgentCannotSlipNorthEast -> 1.000000: true;
+ [Agent_turn_right] AgentIsOnSlipperyNorthEast & true & true -> 1.000000: (viewAgent'=mod(viewAgent+1,4));
+ [Agent_turn_left] AgentIsOnSlipperyNorthEast & true & viewAgent>0 -> 1.000000: (viewAgent'=viewAgent-1);
+ [Agent_turn_left] AgentIsOnSlipperyNorthEast & true & viewAgent=0 -> 1.000000: (viewAgent'=3);
+endmodule
+
diff --git a/notebooks/shielding_files_20241129T122425_0tlvpkoj/grid.txt b/notebooks/shielding_files_20241129T122425_0tlvpkoj/grid.txt
new file mode 100644
index 0000000..800708c
--- /dev/null
+++ b/notebooks/shielding_files_20241129T122425_0tlvpkoj/grid.txt
@@ -0,0 +1,49 @@
+WGWGWGWGWGWGWGWGWGWGWGWGWGWGWGWGWGWGWGWGWGWGWGWGWGWGWG
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+------------------------------------------------------
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+------------------------------------------------------
+------------------------------------------------------
+ProbTurnIntended:0.95
+ProbForwardIntended:0.95
diff --git a/notebooks/shielding_files_20241129T122425_0tlvpkoj/shield b/notebooks/shielding_files_20241129T122425_0tlvpkoj/shield
new file mode 100644
index 0000000..1bd56bf
--- /dev/null
+++ b/notebooks/shielding_files_20241129T122425_0tlvpkoj/shield
@@ -0,0 +1,1580 @@
+___________________________________________________________________
+Pre-Safety-Shield with absolute comparison (gamma = 0.900000):
+ model state: choice(s) [<value>: (<action {action label})>]:
+ 0: [colAgent=1 & rowAgent=1 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1: [colAgent=2 & rowAgent=1 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 2: [colAgent=3 & rowAgent=1 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 3: [colAgent=4 & rowAgent=1 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 4: [colAgent=5 & rowAgent=1 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 5: [colAgent=6 & rowAgent=1 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 6: [colAgent=7 & rowAgent=1 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 7: [colAgent=8 & rowAgent=1 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 8: [colAgent=9 & rowAgent=1 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 9: [colAgent=10 & rowAgent=1 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 10: [colAgent=11 & rowAgent=1 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 11: [colAgent=12 & rowAgent=1 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 12: [colAgent=13 & rowAgent=1 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 13: [colAgent=14 & rowAgent=1 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 14: [colAgent=15 & rowAgent=1 & viewAgent=0] 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 19: [colAgent=20 & rowAgent=1 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 20: [colAgent=21 & rowAgent=1 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 21: [colAgent=22 & rowAgent=1 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 22: [colAgent=23 & rowAgent=1 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 23: [colAgent=24 & rowAgent=1 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 24: [colAgent=25 & rowAgent=1 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 25: [colAgent=2 & rowAgent=2 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 26: [colAgent=3 & rowAgent=2 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 27: [colAgent=4 & rowAgent=2 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 28: [colAgent=5 & rowAgent=2 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 29: [colAgent=6 & rowAgent=2 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 30: [colAgent=7 & rowAgent=2 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 31: [colAgent=8 & rowAgent=2 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 32: [colAgent=9 & rowAgent=2 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 33: [colAgent=10 & rowAgent=2 & viewAgent=0] 0.975: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 34: [colAgent=11 & rowAgent=2 & viewAgent=0] 0.975: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 35: [colAgent=12 & rowAgent=2 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 36: [colAgent=13 & rowAgent=2 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 37: [colAgent=14 & rowAgent=2 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 38: [colAgent=15 & rowAgent=2 & viewAgent=0] 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 43: [colAgent=20 & rowAgent=2 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 44: [colAgent=21 & rowAgent=2 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 45: [colAgent=22 & rowAgent=2 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 46: [colAgent=23 & rowAgent=2 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 47: [colAgent=24 & rowAgent=2 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 48: [colAgent=25 & rowAgent=2 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 49: [colAgent=2 & rowAgent=3 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 50: [colAgent=3 & rowAgent=3 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 51: [colAgent=4 & rowAgent=3 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 52: [colAgent=5 & rowAgent=3 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 53: [colAgent=6 & rowAgent=3 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 54: [colAgent=7 & rowAgent=3 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 55: [colAgent=8 & rowAgent=3 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 56: [colAgent=9 & rowAgent=3 & viewAgent=0] 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 60: [colAgent=13 & rowAgent=3 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 61: [colAgent=14 & rowAgent=3 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 62: [colAgent=15 & rowAgent=3 & viewAgent=0] 0.95: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 63: [colAgent=16 & rowAgent=3 & viewAgent=0] 0.975: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 64: [colAgent=17 & rowAgent=3 & viewAgent=0] 0.975: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 65: [colAgent=18 & rowAgent=3 & viewAgent=0] 0.975: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 66: [colAgent=19 & rowAgent=3 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 67: [colAgent=20 & rowAgent=3 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 68: [colAgent=21 & rowAgent=3 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 69: [colAgent=22 & rowAgent=3 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 70: [colAgent=23 & rowAgent=3 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 71: [colAgent=24 & rowAgent=3 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 72: [colAgent=25 & rowAgent=3 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 73: [colAgent=2 & rowAgent=4 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 74: [colAgent=3 & rowAgent=4 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 75: [colAgent=4 & rowAgent=4 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 76: [colAgent=5 & rowAgent=4 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 77: [colAgent=6 & rowAgent=4 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 78: [colAgent=7 & rowAgent=4 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 79: [colAgent=8 & rowAgent=4 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 80: [colAgent=9 & rowAgent=4 & viewAgent=0] 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 84: [colAgent=13 & rowAgent=4 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 85: [colAgent=14 & rowAgent=4 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 86: [colAgent=15 & rowAgent=4 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 87: [colAgent=16 & rowAgent=4 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 88: [colAgent=17 & rowAgent=4 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 89: [colAgent=18 & rowAgent=4 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 90: [colAgent=19 & rowAgent=4 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 91: [colAgent=20 & rowAgent=4 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 92: [colAgent=21 & rowAgent=4 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 93: [colAgent=22 & rowAgent=4 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 94: [colAgent=23 & rowAgent=4 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 95: [colAgent=24 & rowAgent=4 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 96: [colAgent=25 & rowAgent=4 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 97: [colAgent=2 & rowAgent=5 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 98: [colAgent=3 & rowAgent=5 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 99: [colAgent=4 & rowAgent=5 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 100: [colAgent=5 & rowAgent=5 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 101: [colAgent=6 & rowAgent=5 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 102: [colAgent=7 & rowAgent=5 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 103: [colAgent=8 & rowAgent=5 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 104: [colAgent=9 & rowAgent=5 & viewAgent=0] 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 108: [colAgent=13 & rowAgent=5 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 109: [colAgent=14 & rowAgent=5 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 110: [colAgent=15 & rowAgent=5 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 111: [colAgent=16 & rowAgent=5 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 112: [colAgent=17 & rowAgent=5 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 113: [colAgent=18 & rowAgent=5 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 114: [colAgent=19 & rowAgent=5 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
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+ 1843: [colAgent=20 & rowAgent=20 & viewAgent=3] 1: (0 {Agent_move_North}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1844: [colAgent=21 & rowAgent=20 & viewAgent=3] 1: (0 {Agent_move_North}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1845: [colAgent=22 & rowAgent=20 & viewAgent=3] 1: (0 {Agent_move_North}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1846: [colAgent=23 & rowAgent=20 & viewAgent=3] 1: (0 {Agent_move_North}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1847: [colAgent=24 & rowAgent=20 & viewAgent=3] 1: (0 {Agent_move_North}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1848: [colAgent=25 & rowAgent=20 & viewAgent=3] 1: (0 {Agent_move_North}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1849: [colAgent=1 & rowAgent=1 & viewAgent=1] 1: (0 {Agent_move_South}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1850: [colAgent=1 & rowAgent=1 & viewAgent=3] 1: (0 {Agent_move_North}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1851: [colAgent=2 & rowAgent=1 & viewAgent=1] 1: (0 {Agent_move_South}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1852: [colAgent=2 & rowAgent=1 & viewAgent=3] 1: (0 {Agent_move_North}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1853: [colAgent=3 & rowAgent=1 & viewAgent=1] 1: (0 {Agent_move_South}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1854: [colAgent=3 & rowAgent=1 & viewAgent=3] 1: (0 {Agent_move_North}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1855: [colAgent=4 & rowAgent=1 & viewAgent=1] 1: (0 {Agent_move_South}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1856: [colAgent=4 & rowAgent=1 & viewAgent=3] 1: (0 {Agent_move_North}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1857: [colAgent=5 & rowAgent=1 & viewAgent=1] 1: (0 {Agent_move_South}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1858: [colAgent=5 & rowAgent=1 & viewAgent=3] 1: (0 {Agent_move_North}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1859: [colAgent=6 & rowAgent=1 & viewAgent=1] 1: (0 {Agent_move_South}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1860: [colAgent=6 & rowAgent=1 & viewAgent=3] 1: (0 {Agent_move_North}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1861: [colAgent=7 & rowAgent=1 & viewAgent=1] 1: (0 {Agent_move_South}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1862: [colAgent=7 & rowAgent=1 & viewAgent=3] 1: (0 {Agent_move_North}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1863: [colAgent=8 & rowAgent=1 & viewAgent=1] 1: (0 {Agent_move_South}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1864: [colAgent=8 & rowAgent=1 & viewAgent=3] 1: (0 {Agent_move_North}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1865: [colAgent=9 & rowAgent=1 & viewAgent=1] 1: (0 {Agent_move_South}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1866: [colAgent=9 & rowAgent=1 & viewAgent=3] 1: (0 {Agent_move_North}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1867: [colAgent=10 & rowAgent=1 & viewAgent=1] 1: (0 {Agent_move_South}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1868: [colAgent=10 & rowAgent=1 & viewAgent=3] 1: (0 {Agent_move_North}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1869: [colAgent=11 & rowAgent=1 & viewAgent=1] 1: (0 {Agent_move_South}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1870: [colAgent=11 & rowAgent=1 & viewAgent=3] 1: (0 {Agent_move_North}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1871: [colAgent=12 & rowAgent=1 & viewAgent=1] 1: (0 {Agent_move_South}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1872: [colAgent=12 & rowAgent=1 & viewAgent=3] 1: (0 {Agent_move_North}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1873: [colAgent=13 & rowAgent=1 & viewAgent=1] 1: (0 {Agent_move_South}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1874: [colAgent=13 & rowAgent=1 & viewAgent=3] 1: (0 {Agent_move_North}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1875: [colAgent=14 & rowAgent=1 & viewAgent=1] 1: (0 {Agent_move_South}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1876: [colAgent=14 & rowAgent=1 & viewAgent=3] 1: (0 {Agent_move_North}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1877: [colAgent=15 & rowAgent=1 & viewAgent=1] 1: (0 {Agent_move_South}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1878: [colAgent=15 & rowAgent=1 & viewAgent=3] 1: (0 {Agent_move_North}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1879: [colAgent=20 & rowAgent=1 & viewAgent=1] 1: (0 {Agent_move_South}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1880: [colAgent=20 & rowAgent=1 & viewAgent=3] 1: (0 {Agent_move_North}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1881: [colAgent=21 & rowAgent=1 & viewAgent=1] 1: (0 {Agent_move_South}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1882: [colAgent=21 & rowAgent=1 & viewAgent=3] 1: (0 {Agent_move_North}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1883: [colAgent=22 & rowAgent=1 & viewAgent=1] 1: (0 {Agent_move_South}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1884: [colAgent=22 & rowAgent=1 & viewAgent=3] 1: (0 {Agent_move_North}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1885: [colAgent=23 & rowAgent=1 & viewAgent=1] 1: (0 {Agent_move_South}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1886: [colAgent=23 & rowAgent=1 & viewAgent=3] 1: (0 {Agent_move_North}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1887: [colAgent=24 & rowAgent=1 & viewAgent=1] 1: (0 {Agent_move_South}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1888: [colAgent=24 & rowAgent=1 & viewAgent=3] 1: (0 {Agent_move_North}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1889: [colAgent=25 & rowAgent=1 & viewAgent=1] 1: (0 {Agent_move_South}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1890: [colAgent=25 & rowAgent=1 & viewAgent=3] 1: (0 {Agent_move_North}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1891: [colAgent=1 & rowAgent=2 & viewAgent=2] 1: (0 {Agent_move_West}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1892: [colAgent=1 & rowAgent=1 & viewAgent=2] 1: (0 {Agent_move_West}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1893: [colAgent=2 & rowAgent=1 & viewAgent=2] 1: (0 {Agent_move_West}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1894: [colAgent=3 & rowAgent=1 & viewAgent=2] 1: (0 {Agent_move_West}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1895: [colAgent=4 & rowAgent=1 & viewAgent=2] 1: (0 {Agent_move_West}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1896: [colAgent=5 & rowAgent=1 & viewAgent=2] 1: (0 {Agent_move_West}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1897: [colAgent=6 & rowAgent=1 & viewAgent=2] 1: (0 {Agent_move_West}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1898: [colAgent=7 & rowAgent=1 & viewAgent=2] 1: (0 {Agent_move_West}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1899: [colAgent=8 & rowAgent=1 & viewAgent=2] 1: (0 {Agent_move_West}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1900: [colAgent=9 & rowAgent=1 & viewAgent=2] 1: (0 {Agent_move_West}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1901: [colAgent=10 & rowAgent=1 & viewAgent=2] 1: (0 {Agent_move_West}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1902: [colAgent=12 & rowAgent=1 & viewAgent=2] 1: (0 {Agent_move_West}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1903: [colAgent=13 & rowAgent=1 & viewAgent=2] 1: (0 {Agent_move_West}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1904: [colAgent=14 & rowAgent=1 & viewAgent=2] 1: (0 {Agent_move_West}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1905: [colAgent=15 & rowAgent=1 & viewAgent=2] 1: (0 {Agent_move_West}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1907: [colAgent=20 & rowAgent=1 & viewAgent=2] 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1908: [colAgent=21 & rowAgent=1 & viewAgent=2] 1: (0 {Agent_move_West}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1909: [colAgent=22 & rowAgent=1 & viewAgent=2] 1: (0 {Agent_move_West}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1910: [colAgent=23 & rowAgent=1 & viewAgent=2] 1: (0 {Agent_move_West}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1911: [colAgent=24 & rowAgent=1 & viewAgent=2] 1: (0 {Agent_move_West}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1912: [colAgent=25 & rowAgent=1 & viewAgent=2] 1: (0 {Agent_move_West}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1913: [colAgent=1 & rowAgent=3 & viewAgent=2] 1: (0 {Agent_move_West}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1914: [colAgent=1 & rowAgent=4 & viewAgent=2] 1: (0 {Agent_move_West}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1915: [colAgent=1 & rowAgent=5 & viewAgent=2] 1: (0 {Agent_move_West}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1916: [colAgent=1 & rowAgent=6 & viewAgent=2] 1: (0 {Agent_move_West}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1917: [colAgent=1 & rowAgent=11 & viewAgent=2] 1: (0 {Agent_move_West}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1918: [colAgent=1 & rowAgent=10 & viewAgent=2] 1: (0 {Agent_move_West}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1919: [colAgent=1 & rowAgent=12 & viewAgent=2] 1: (0 {Agent_move_West}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1920: [colAgent=1 & rowAgent=13 & viewAgent=2] 1: (0 {Agent_move_West}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1921: [colAgent=1 & rowAgent=14 & viewAgent=2] 1: (0 {Agent_move_West}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1922: [colAgent=1 & rowAgent=15 & viewAgent=2] 1: (0 {Agent_move_West}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1923: [colAgent=1 & rowAgent=16 & viewAgent=2] 1: (0 {Agent_move_West}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1926: [colAgent=1 & rowAgent=2 & viewAgent=1] 1: (0 {Agent_move_South}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1927: [colAgent=11 & rowAgent=1 & viewAgent=2] 1: (0 {Agent_move_West}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1928: [colAgent=1 & rowAgent=2 & viewAgent=3] 1: (0 {Agent_move_North}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1929: [colAgent=1 & rowAgent=3 & viewAgent=3] 1: (0 {Agent_move_North}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1930: [colAgent=1 & rowAgent=3 & viewAgent=1] 1: (0 {Agent_move_South}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1931: [colAgent=1 & rowAgent=4 & viewAgent=3] 1: (0 {Agent_move_North}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1932: [colAgent=1 & rowAgent=4 & viewAgent=1] 1: (0 {Agent_move_South}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1933: [colAgent=1 & rowAgent=5 & viewAgent=3] 1: (0 {Agent_move_North}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1934: [colAgent=1 & rowAgent=5 & viewAgent=1] 1: (0 {Agent_move_South}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1935: [colAgent=1 & rowAgent=6 & viewAgent=3] 1: (0 {Agent_move_North}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1936: [colAgent=1 & rowAgent=6 & viewAgent=1] 1: (0 {Agent_move_South}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1937: [colAgent=1 & rowAgent=11 & viewAgent=3] 1: (0 {Agent_move_North}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1938: [colAgent=1 & rowAgent=11 & viewAgent=1] 1: (0 {Agent_move_South}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1939: [colAgent=1 & rowAgent=10 & viewAgent=3] 1: (0 {Agent_move_North}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1940: [colAgent=1 & rowAgent=10 & viewAgent=1] 1: (0 {Agent_move_South}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1941: [colAgent=1 & rowAgent=12 & viewAgent=3] 1: (0 {Agent_move_North}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1942: [colAgent=1 & rowAgent=12 & viewAgent=1] 1: (0 {Agent_move_South}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1943: [colAgent=1 & rowAgent=13 & viewAgent=3] 1: (0 {Agent_move_North}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1944: [colAgent=1 & rowAgent=13 & viewAgent=1] 1: (0 {Agent_move_South}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1945: [colAgent=1 & rowAgent=14 & viewAgent=3] 1: (0 {Agent_move_North}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1946: [colAgent=1 & rowAgent=14 & viewAgent=1] 1: (0 {Agent_move_South}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1947: [colAgent=1 & rowAgent=15 & viewAgent=3] 1: (0 {Agent_move_North}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1948: [colAgent=1 & rowAgent=15 & viewAgent=1] 1: (0 {Agent_move_South}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1949: [colAgent=1 & rowAgent=16 & viewAgent=3] 1: (0 {Agent_move_North}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1950: [colAgent=1 & rowAgent=16 & viewAgent=1] 1: (0 {Agent_move_South}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1951: [colAgent=1 & rowAgent=2 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1952: [colAgent=1 & rowAgent=3 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1953: [colAgent=1 & rowAgent=4 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1954: [colAgent=1 & rowAgent=5 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1955: [colAgent=1 & rowAgent=6 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1956: [colAgent=1 & rowAgent=7 & viewAgent=1] 1: (0 {Agent_move_South}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1957: [colAgent=1 & rowAgent=11 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1958: [colAgent=1 & rowAgent=9 & viewAgent=3] 1: (0 {Agent_move_North}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1959: [colAgent=1 & rowAgent=10 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1960: [colAgent=1 & rowAgent=12 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1961: [colAgent=1 & rowAgent=13 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1962: [colAgent=1 & rowAgent=14 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1963: [colAgent=1 & rowAgent=15 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1964: [colAgent=1 & rowAgent=16 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1965: [colAgent=1 & rowAgent=17 & viewAgent=1] 1: (0 {Agent_move_South}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1966: [colAgent=1 & rowAgent=8 & viewAgent=1] 1: (0 {Agent_move_South}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1967: [colAgent=1 & rowAgent=7 & viewAgent=2] 1: (0 {Agent_move_West}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1968: [colAgent=1 & rowAgent=7 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1969: [colAgent=1 & rowAgent=8 & viewAgent=3] 1: (0 {Agent_move_North}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1970: [colAgent=1 & rowAgent=9 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1971: [colAgent=1 & rowAgent=9 & viewAgent=2] 1: (0 {Agent_move_West}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1972: [colAgent=1 & rowAgent=18 & viewAgent=1] 1: (0 {Agent_move_South}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1973: [colAgent=1 & rowAgent=17 & viewAgent=2] 1: (0 {Agent_move_West}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1974: [colAgent=1 & rowAgent=17 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1975: [colAgent=1 & rowAgent=9 & viewAgent=1] 1: (0 {Agent_move_South}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1976: [colAgent=1 & rowAgent=8 & viewAgent=2] 1: (0 {Agent_move_West}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1977: [colAgent=1 & rowAgent=8 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1978: [colAgent=1 & rowAgent=7 & viewAgent=3] 1: (0 {Agent_move_North}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1979: [colAgent=1 & rowAgent=19 & viewAgent=1] 1: (0 {Agent_move_South}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1980: [colAgent=1 & rowAgent=18 & viewAgent=2] 1: (0 {Agent_move_West}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1981: [colAgent=1 & rowAgent=18 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1982: [colAgent=1 & rowAgent=17 & viewAgent=3] 1: (0 {Agent_move_North}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1983: [colAgent=1 & rowAgent=20 & viewAgent=1] 1: (0 {Agent_move_South}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1984: [colAgent=1 & rowAgent=19 & viewAgent=2] 1: (0 {Agent_move_West}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1985: [colAgent=1 & rowAgent=19 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1986: [colAgent=1 & rowAgent=18 & viewAgent=3] 1: (0 {Agent_move_North}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1987: [colAgent=1 & rowAgent=20 & viewAgent=2] 1: (0 {Agent_move_West}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1988: [colAgent=1 & rowAgent=20 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1989: [colAgent=1 & rowAgent=19 & viewAgent=3] 1: (0 {Agent_move_North}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1990: [colAgent=1 & rowAgent=20 & viewAgent=3] 1: (0 {Agent_move_North}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+___________________________________________________________________
diff --git a/notebooks/shielding_files_20241129T122427_qaabh7px/grid.prism b/notebooks/shielding_files_20241129T122427_qaabh7px/grid.prism
new file mode 100644
index 0000000..d25aadb
--- /dev/null
+++ b/notebooks/shielding_files_20241129T122427_qaabh7px/grid.prism
@@ -0,0 +1,183 @@
+mdp
+
+formula AgentCannotMoveEastWall = (colAgent=25&rowAgent=10) | (colAgent=25&rowAgent=14) | (colAgent=25&rowAgent=15) | (colAgent=25&rowAgent=16) | (colAgent=25&rowAgent=17);
+formula AgentCannotMoveNorthWall = (colAgent=16&rowAgent=1) | (colAgent=17&rowAgent=1) | (colAgent=18&rowAgent=1) | (colAgent=19&rowAgent=1);
+formula AgentCannotMoveSouthWall = false;
+formula AgentCannotMoveWestWall = false;
+formula AgentIsOnSlipperyEast = (colAgent=10&rowAgent=2) | (colAgent=11&rowAgent=2) | (colAgent=12&rowAgent=2) | (colAgent=16&rowAgent=3) | (colAgent=17&rowAgent=3) | (colAgent=18&rowAgent=3) | (colAgent=19&rowAgent=3) | (colAgent=16&rowAgent=6) | (colAgent=17&rowAgent=6) | (colAgent=18&rowAgent=6) | (colAgent=19&rowAgent=6) | (colAgent=20&rowAgent=6) | (colAgent=21&rowAgent=6) | (colAgent=22&rowAgent=6) | (colAgent=1&rowAgent=7) | (colAgent=2&rowAgent=7) | (colAgent=3&rowAgent=7) | (colAgent=4&rowAgent=7) | (colAgent=5&rowAgent=7) | (colAgent=6&rowAgent=7) | (colAgent=7&rowAgent=7) | (colAgent=8&rowAgent=7) | (colAgent=9&rowAgent=7) | (colAgent=10&rowAgent=7) | (colAgent=11&rowAgent=7) | (colAgent=1&rowAgent=8) | (colAgent=2&rowAgent=8) | (colAgent=3&rowAgent=8) | (colAgent=4&rowAgent=8) | (colAgent=5&rowAgent=8) | (colAgent=6&rowAgent=8) | (colAgent=7&rowAgent=8) | (colAgent=8&rowAgent=8) | (colAgent=1&rowAgent=9) | (colAgent=2&rowAgent=9) | (colAgent=3&rowAgent=9) | (colAgent=4&rowAgent=9) | (colAgent=5&rowAgent=9) | (colAgent=6&rowAgent=9) | (colAgent=7&rowAgent=9) | (colAgent=8&rowAgent=9) | (colAgent=1&rowAgent=10) | (colAgent=2&rowAgent=10) | (colAgent=3&rowAgent=10) | (colAgent=4&rowAgent=10) | (colAgent=5&rowAgent=10) | (colAgent=6&rowAgent=10) | (colAgent=7&rowAgent=10) | (colAgent=16&rowAgent=12) | (colAgent=17&rowAgent=12) | (colAgent=18&rowAgent=12) | (colAgent=19&rowAgent=12) | (colAgent=20&rowAgent=12) | (colAgent=21&rowAgent=12) | (colAgent=22&rowAgent=13) | (colAgent=23&rowAgent=13) | (colAgent=24&rowAgent=13) | (colAgent=25&rowAgent=13) | (colAgent=1&rowAgent=17) | (colAgent=2&rowAgent=17) | (colAgent=3&rowAgent=17) | (colAgent=4&rowAgent=17) | (colAgent=5&rowAgent=17) | (colAgent=6&rowAgent=17) | (colAgent=7&rowAgent=17) | (colAgent=8&rowAgent=17) | (colAgent=9&rowAgent=17) | (colAgent=10&rowAgent=17) | (colAgent=11&rowAgent=17) | (colAgent=12&rowAgent=17) | (colAgent=13&rowAgent=17) | (colAgent=14&rowAgent=17) | (colAgent=15&rowAgent=17) | (colAgent=1&rowAgent=18) | (colAgent=2&rowAgent=18) | (colAgent=3&rowAgent=18) | (colAgent=4&rowAgent=18) | (colAgent=5&rowAgent=18) | (colAgent=6&rowAgent=18) | (colAgent=7&rowAgent=18) | (colAgent=8&rowAgent=18) | (colAgent=9&rowAgent=18) | (colAgent=10&rowAgent=18) | (colAgent=11&rowAgent=18) | (colAgent=12&rowAgent=18) | (colAgent=13&rowAgent=18) | (colAgent=14&rowAgent=18) | (colAgent=15&rowAgent=18) | (colAgent=16&rowAgent=18) | (colAgent=22&rowAgent=18) | (colAgent=23&rowAgent=18) | (colAgent=24&rowAgent=18) | (colAgent=25&rowAgent=18) | (colAgent=1&rowAgent=19) | (colAgent=2&rowAgent=19) | (colAgent=3&rowAgent=19) | (colAgent=4&rowAgent=19) | (colAgent=5&rowAgent=19) | (colAgent=6&rowAgent=19) | (colAgent=7&rowAgent=19) | (colAgent=8&rowAgent=19) | (colAgent=9&rowAgent=19) | (colAgent=10&rowAgent=19) | (colAgent=11&rowAgent=19) | (colAgent=12&rowAgent=19) | (colAgent=13&rowAgent=19) | (colAgent=14&rowAgent=19) | (colAgent=15&rowAgent=19) | (colAgent=16&rowAgent=19) | (colAgent=17&rowAgent=19) | (colAgent=1&rowAgent=20) | (colAgent=2&rowAgent=20) | (colAgent=3&rowAgent=20) | (colAgent=4&rowAgent=20) | (colAgent=5&rowAgent=20) | (colAgent=6&rowAgent=20) | (colAgent=7&rowAgent=20) | (colAgent=8&rowAgent=20) | (colAgent=9&rowAgent=20) | (colAgent=10&rowAgent=20) | (colAgent=11&rowAgent=20) | (colAgent=12&rowAgent=20) | (colAgent=13&rowAgent=20) | (colAgent=14&rowAgent=20) | (colAgent=15&rowAgent=20) | (colAgent=16&rowAgent=20) | (colAgent=17&rowAgent=20) | (colAgent=18&rowAgent=20);
+formula AgentIsOnSlipperyNorth = (colAgent=15&rowAgent=1) | (colAgent=20&rowAgent=1) | (colAgent=15&rowAgent=2) | (colAgent=20&rowAgent=2) | (colAgent=13&rowAgent=3) | (colAgent=13&rowAgent=4) | (colAgent=13&rowAgent=5) | (colAgent=13&rowAgent=6) | (colAgent=15&rowAgent=7) | (colAgent=24&rowAgent=7) | (colAgent=15&rowAgent=8) | (colAgent=24&rowAgent=8) | (colAgent=15&rowAgent=9) | (colAgent=24&rowAgent=9) | (colAgent=15&rowAgent=10) | (colAgent=24&rowAgent=10) | (colAgent=13&rowAgent=11) | (colAgent=15&rowAgent=11) | (colAgent=24&rowAgent=11) | (colAgent=13&rowAgent=12) | (colAgent=13&rowAgent=13) | (colAgent=13&rowAgent=14) | (colAgent=21&rowAgent=14) | (colAgent=13&rowAgent=15) | (colAgent=21&rowAgent=15) | (colAgent=13&rowAgent=16) | (colAgent=21&rowAgent=16) | (colAgent=21&rowAgent=17);
+formula AgentIsOnSlipperyNorthEast = (colAgent=1&rowAgent=1) | (colAgent=2&rowAgent=1) | (colAgent=3&rowAgent=1) | (colAgent=4&rowAgent=1) | (colAgent=5&rowAgent=1) | (colAgent=6&rowAgent=1) | (colAgent=7&rowAgent=1) | (colAgent=8&rowAgent=1) | (colAgent=9&rowAgent=1) | (colAgent=10&rowAgent=1) | (colAgent=11&rowAgent=1) | (colAgent=12&rowAgent=1) | (colAgent=13&rowAgent=1) | (colAgent=14&rowAgent=1) | (colAgent=21&rowAgent=1) | (colAgent=22&rowAgent=1) | (colAgent=23&rowAgent=1) | (colAgent=24&rowAgent=1) | (colAgent=25&rowAgent=1) | (colAgent=1&rowAgent=2) | (colAgent=2&rowAgent=2) | (colAgent=3&rowAgent=2) | (colAgent=4&rowAgent=2) | (colAgent=5&rowAgent=2) | (colAgent=6&rowAgent=2) | (colAgent=7&rowAgent=2) | (colAgent=8&rowAgent=2) | (colAgent=9&rowAgent=2) | (colAgent=13&rowAgent=2) | (colAgent=14&rowAgent=2) | (colAgent=21&rowAgent=2) | (colAgent=22&rowAgent=2) | (colAgent=23&rowAgent=2) | (colAgent=24&rowAgent=2) | (colAgent=25&rowAgent=2) | (colAgent=1&rowAgent=3) | (colAgent=2&rowAgent=3) | (colAgent=3&rowAgent=3) | (colAgent=4&rowAgent=3) | (colAgent=5&rowAgent=3) | (colAgent=6&rowAgent=3) | (colAgent=7&rowAgent=3) | (colAgent=8&rowAgent=3) | (colAgent=9&rowAgent=3) | (colAgent=14&rowAgent=3) | (colAgent=15&rowAgent=3) | (colAgent=20&rowAgent=3) | (colAgent=21&rowAgent=3) | (colAgent=22&rowAgent=3) | (colAgent=23&rowAgent=3) | (colAgent=24&rowAgent=3) | (colAgent=25&rowAgent=3) | (colAgent=1&rowAgent=4) | (colAgent=2&rowAgent=4) | (colAgent=3&rowAgent=4) | (colAgent=4&rowAgent=4) | (colAgent=5&rowAgent=4) | (colAgent=6&rowAgent=4) | (colAgent=7&rowAgent=4) | (colAgent=8&rowAgent=4) | (colAgent=9&rowAgent=4) | (colAgent=14&rowAgent=4) | (colAgent=15&rowAgent=4) | (colAgent=16&rowAgent=4) | (colAgent=17&rowAgent=4) | (colAgent=18&rowAgent=4) | (colAgent=19&rowAgent=4) | (colAgent=20&rowAgent=4) | (colAgent=21&rowAgent=4) | (colAgent=22&rowAgent=4) | (colAgent=23&rowAgent=4) | (colAgent=24&rowAgent=4) | (colAgent=25&rowAgent=4) | (colAgent=1&rowAgent=5) | (colAgent=2&rowAgent=5) | (colAgent=3&rowAgent=5) | (colAgent=4&rowAgent=5) | (colAgent=5&rowAgent=5) | (colAgent=6&rowAgent=5) | (colAgent=7&rowAgent=5) | (colAgent=8&rowAgent=5) | (colAgent=9&rowAgent=5) | (colAgent=14&rowAgent=5) | (colAgent=15&rowAgent=5) | (colAgent=16&rowAgent=5) | (colAgent=17&rowAgent=5) | (colAgent=18&rowAgent=5) | (colAgent=19&rowAgent=5) | (colAgent=20&rowAgent=5) | (colAgent=21&rowAgent=5) | (colAgent=22&rowAgent=5) | (colAgent=23&rowAgent=5) | (colAgent=24&rowAgent=5) | (colAgent=25&rowAgent=5) | (colAgent=1&rowAgent=6) | (colAgent=2&rowAgent=6) | (colAgent=3&rowAgent=6) | (colAgent=4&rowAgent=6) | (colAgent=5&rowAgent=6) | (colAgent=6&rowAgent=6) | (colAgent=7&rowAgent=6) | (colAgent=8&rowAgent=6) | (colAgent=9&rowAgent=6) | (colAgent=14&rowAgent=6) | (colAgent=15&rowAgent=6) | (colAgent=23&rowAgent=6) | (colAgent=24&rowAgent=6) | (colAgent=25&rowAgent=6) | (colAgent=13&rowAgent=7) | (colAgent=14&rowAgent=7) | (colAgent=25&rowAgent=7) | (colAgent=9&rowAgent=8) | (colAgent=10&rowAgent=8) | (colAgent=11&rowAgent=8) | (colAgent=13&rowAgent=8) | (colAgent=14&rowAgent=8) | (colAgent=25&rowAgent=8) | (colAgent=9&rowAgent=9) | (colAgent=13&rowAgent=9) | (colAgent=14&rowAgent=9) | (colAgent=25&rowAgent=9) | (colAgent=8&rowAgent=10) | (colAgent=13&rowAgent=10) | (colAgent=14&rowAgent=10) | (colAgent=1&rowAgent=11) | (colAgent=2&rowAgent=11) | (colAgent=3&rowAgent=11) | (colAgent=4&rowAgent=11) | (colAgent=5&rowAgent=11) | (colAgent=6&rowAgent=11) | (colAgent=7&rowAgent=11) | (colAgent=14&rowAgent=11) | (colAgent=25&rowAgent=11) | (colAgent=1&rowAgent=12) | (colAgent=2&rowAgent=12) | (colAgent=3&rowAgent=12) | (colAgent=4&rowAgent=12) | (colAgent=5&rowAgent=12) | (colAgent=6&rowAgent=12) | (colAgent=7&rowAgent=12) | (colAgent=14&rowAgent=12) | (colAgent=15&rowAgent=12) | (colAgent=22&rowAgent=12) | (colAgent=23&rowAgent=12) | (colAgent=24&rowAgent=12) | (colAgent=25&rowAgent=12) | (colAgent=1&rowAgent=13) | (colAgent=2&rowAgent=13) | (colAgent=3&rowAgent=13) | (colAgent=4&rowAgent=13) | (colAgent=5&rowAgent=13) | (colAgent=6&rowAgent=13) | (colAgent=7&rowAgent=13) | (colAgent=14&rowAgent=13) | (colAgent=15&rowAgent=13) | (colAgent=16&rowAgent=13) | (colAgent=17&rowAgent=13) | (colAgent=18&rowAgent=13) | (colAgent=19&rowAgent=13) | (colAgent=20&rowAgent=13) | (colAgent=21&rowAgent=13) | (colAgent=1&rowAgent=14) | (colAgent=2&rowAgent=14) | (colAgent=3&rowAgent=14) | (colAgent=4&rowAgent=14) | (colAgent=5&rowAgent=14) | (colAgent=6&rowAgent=14) | (colAgent=7&rowAgent=14) | (colAgent=14&rowAgent=14) | (colAgent=15&rowAgent=14) | (colAgent=16&rowAgent=14) | (colAgent=17&rowAgent=14) | (colAgent=18&rowAgent=14) | (colAgent=19&rowAgent=14) | (colAgent=20&rowAgent=14) | (colAgent=1&rowAgent=15) | (colAgent=2&rowAgent=15) | (colAgent=3&rowAgent=15) | (colAgent=4&rowAgent=15) | (colAgent=5&rowAgent=15) | (colAgent=6&rowAgent=15) | (colAgent=7&rowAgent=15) | (colAgent=14&rowAgent=15) | (colAgent=15&rowAgent=15) | (colAgent=16&rowAgent=15) | (colAgent=17&rowAgent=15) | (colAgent=18&rowAgent=15) | (colAgent=19&rowAgent=15) | (colAgent=20&rowAgent=15) | (colAgent=1&rowAgent=16) | (colAgent=2&rowAgent=16) | (colAgent=3&rowAgent=16) | (colAgent=4&rowAgent=16) | (colAgent=5&rowAgent=16) | (colAgent=6&rowAgent=16) | (colAgent=7&rowAgent=16) | (colAgent=14&rowAgent=16) | (colAgent=15&rowAgent=16) | (colAgent=16&rowAgent=16) | (colAgent=17&rowAgent=16) | (colAgent=18&rowAgent=16) | (colAgent=19&rowAgent=16) | (colAgent=20&rowAgent=16) | (colAgent=16&rowAgent=17) | (colAgent=17&rowAgent=17) | (colAgent=18&rowAgent=17) | (colAgent=19&rowAgent=17) | (colAgent=20&rowAgent=17) | (colAgent=17&rowAgent=18) | (colAgent=18&rowAgent=18) | (colAgent=19&rowAgent=18) | (colAgent=20&rowAgent=18) | (colAgent=21&rowAgent=18) | (colAgent=18&rowAgent=19) | (colAgent=19&rowAgent=19) | (colAgent=20&rowAgent=19) | (colAgent=21&rowAgent=19) | (colAgent=22&rowAgent=19) | (colAgent=23&rowAgent=19) | (colAgent=24&rowAgent=19) | (colAgent=25&rowAgent=19) | (colAgent=19&rowAgent=20) | (colAgent=20&rowAgent=20) | (colAgent=21&rowAgent=20) | (colAgent=22&rowAgent=20) | (colAgent=23&rowAgent=20) | (colAgent=24&rowAgent=20) | (colAgent=25&rowAgent=20);
+formula AgentIsOnSlipperyNorthWest = false;
+formula AgentIsOnSlipperySouth = (colAgent=12&rowAgent=7) | (colAgent=12&rowAgent=8) | (colAgent=12&rowAgent=9) | (colAgent=12&rowAgent=10);
+formula AgentIsOnSlipperySouthEast = false;
+formula AgentIsOnSlipperySouthWest = false;
+formula AgentIsOnSlipperyWest = (colAgent=10&rowAgent=9) | (colAgent=11&rowAgent=9) | (colAgent=9&rowAgent=10) | (colAgent=10&rowAgent=10) | (colAgent=11&rowAgent=10);
+formula AgentIsOnSlippery = AgentIsOnSlipperyEast | AgentIsOnSlipperyNorth | AgentIsOnSlipperyNorthEast | AgentIsOnSlipperyNorthWest | AgentIsOnSlipperySouth | AgentIsOnSlipperySouthEast | AgentIsOnSlipperySouthWest | AgentIsOnSlipperyWest;
+formula AgentCannotSlipEast = (colAgent+1=0&rowAgent=0) | (colAgent+1=1&rowAgent=0) | (colAgent+1=2&rowAgent=0) | (colAgent+1=3&rowAgent=0) | (colAgent+1=4&rowAgent=0) | (colAgent+1=5&rowAgent=0) | (colAgent+1=6&rowAgent=0) | (colAgent+1=7&rowAgent=0) | (colAgent+1=8&rowAgent=0) | (colAgent+1=9&rowAgent=0) | (colAgent+1=10&rowAgent=0) | (colAgent+1=11&rowAgent=0) | (colAgent+1=12&rowAgent=0) | (colAgent+1=13&rowAgent=0) | (colAgent+1=14&rowAgent=0) | (colAgent+1=15&rowAgent=0) | (colAgent+1=16&rowAgent=0) | (colAgent+1=17&rowAgent=0) | (colAgent+1=18&rowAgent=0) | (colAgent+1=19&rowAgent=0) | (colAgent+1=20&rowAgent=0) | (colAgent+1=21&rowAgent=0) | (colAgent+1=22&rowAgent=0) | (colAgent+1=23&rowAgent=0) | (colAgent+1=24&rowAgent=0) | (colAgent+1=25&rowAgent=0) | (colAgent+1=26&rowAgent=0) | (colAgent+1=0&rowAgent=1) | (colAgent+1=26&rowAgent=1) | (colAgent+1=0&rowAgent=2) | (colAgent+1=26&rowAgent=2) | (colAgent+1=0&rowAgent=3) | (colAgent+1=26&rowAgent=3) | (colAgent+1=0&rowAgent=4) | (colAgent+1=26&rowAgent=4) | (colAgent+1=0&rowAgent=5) | (colAgent+1=26&rowAgent=5) | (colAgent+1=0&rowAgent=6) | (colAgent+1=26&rowAgent=6) | (colAgent+1=0&rowAgent=7) | (colAgent+1=26&rowAgent=7) | (colAgent+1=0&rowAgent=8) | (colAgent+1=26&rowAgent=8) | (colAgent+1=0&rowAgent=9) | (colAgent+1=26&rowAgent=9) | (colAgent+1=0&rowAgent=10) | (colAgent+1=26&rowAgent=10) | (colAgent+1=0&rowAgent=11) | (colAgent+1=26&rowAgent=11) | (colAgent+1=0&rowAgent=12) | (colAgent+1=26&rowAgent=12) | (colAgent+1=0&rowAgent=13) | (colAgent+1=26&rowAgent=13) | (colAgent+1=0&rowAgent=14) | (colAgent+1=26&rowAgent=14) | (colAgent+1=0&rowAgent=15) | (colAgent+1=26&rowAgent=15) | (colAgent+1=0&rowAgent=16) | (colAgent+1=26&rowAgent=16) | (colAgent+1=0&rowAgent=17) | (colAgent+1=26&rowAgent=17) | (colAgent+1=0&rowAgent=18) | (colAgent+1=26&rowAgent=18) | (colAgent+1=0&rowAgent=19) | (colAgent+1=26&rowAgent=19) | (colAgent+1=0&rowAgent=20) | (colAgent+1=26&rowAgent=20) | (colAgent+1=0&rowAgent=21) | (colAgent+1=1&rowAgent=21) | (colAgent+1=2&rowAgent=21) | (colAgent+1=3&rowAgent=21) | (colAgent+1=4&rowAgent=21) | (colAgent+1=5&rowAgent=21) | (colAgent+1=6&rowAgent=21) | (colAgent+1=7&rowAgent=21) | (colAgent+1=8&rowAgent=21) | (colAgent+1=9&rowAgent=21) | (colAgent+1=10&rowAgent=21) | (colAgent+1=11&rowAgent=21) | (colAgent+1=12&rowAgent=21) | (colAgent+1=13&rowAgent=21) | (colAgent+1=14&rowAgent=21) | (colAgent+1=15&rowAgent=21) | (colAgent+1=16&rowAgent=21) | (colAgent+1=17&rowAgent=21) | (colAgent+1=18&rowAgent=21) | (colAgent+1=19&rowAgent=21) | (colAgent+1=20&rowAgent=21) | (colAgent+1=21&rowAgent=21) | (colAgent+1=22&rowAgent=21) | (colAgent+1=23&rowAgent=21) | (colAgent+1=24&rowAgent=21) | (colAgent+1=25&rowAgent=21) | (colAgent+1=26&rowAgent=21);
+formula AgentCannotSlipNorth = (colAgent=0&rowAgent-1=0) | (colAgent=1&rowAgent-1=0) | (colAgent=2&rowAgent-1=0) | (colAgent=3&rowAgent-1=0) | (colAgent=4&rowAgent-1=0) | (colAgent=5&rowAgent-1=0) | (colAgent=6&rowAgent-1=0) | (colAgent=7&rowAgent-1=0) | (colAgent=8&rowAgent-1=0) | (colAgent=9&rowAgent-1=0) | (colAgent=10&rowAgent-1=0) | (colAgent=11&rowAgent-1=0) | (colAgent=12&rowAgent-1=0) | (colAgent=13&rowAgent-1=0) | (colAgent=14&rowAgent-1=0) | (colAgent=15&rowAgent-1=0) | (colAgent=16&rowAgent-1=0) | (colAgent=17&rowAgent-1=0) | (colAgent=18&rowAgent-1=0) | (colAgent=19&rowAgent-1=0) | (colAgent=20&rowAgent-1=0) | (colAgent=21&rowAgent-1=0) | (colAgent=22&rowAgent-1=0) | (colAgent=23&rowAgent-1=0) | (colAgent=24&rowAgent-1=0) | (colAgent=25&rowAgent-1=0) | (colAgent=26&rowAgent-1=0) | (colAgent=0&rowAgent-1=1) | (colAgent=26&rowAgent-1=1) | (colAgent=0&rowAgent-1=2) | (colAgent=26&rowAgent-1=2) | (colAgent=0&rowAgent-1=3) | (colAgent=26&rowAgent-1=3) | (colAgent=0&rowAgent-1=4) | (colAgent=26&rowAgent-1=4) | (colAgent=0&rowAgent-1=5) | (colAgent=26&rowAgent-1=5) | (colAgent=0&rowAgent-1=6) | (colAgent=26&rowAgent-1=6) | (colAgent=0&rowAgent-1=7) | (colAgent=26&rowAgent-1=7) | (colAgent=0&rowAgent-1=8) | (colAgent=26&rowAgent-1=8) | (colAgent=0&rowAgent-1=9) | (colAgent=26&rowAgent-1=9) | (colAgent=0&rowAgent-1=10) | (colAgent=26&rowAgent-1=10) | (colAgent=0&rowAgent-1=11) | (colAgent=26&rowAgent-1=11) | (colAgent=0&rowAgent-1=12) | (colAgent=26&rowAgent-1=12) | (colAgent=0&rowAgent-1=13) | (colAgent=26&rowAgent-1=13) | (colAgent=0&rowAgent-1=14) | (colAgent=26&rowAgent-1=14) | (colAgent=0&rowAgent-1=15) | (colAgent=26&rowAgent-1=15) | (colAgent=0&rowAgent-1=16) | (colAgent=26&rowAgent-1=16) | (colAgent=0&rowAgent-1=17) | (colAgent=26&rowAgent-1=17) | (colAgent=0&rowAgent-1=18) | (colAgent=26&rowAgent-1=18) | (colAgent=0&rowAgent-1=19) | (colAgent=26&rowAgent-1=19) | (colAgent=0&rowAgent-1=20) | (colAgent=26&rowAgent-1=20) | (colAgent=0&rowAgent-1=21) | (colAgent=1&rowAgent-1=21) | (colAgent=2&rowAgent-1=21) | (colAgent=3&rowAgent-1=21) | (colAgent=4&rowAgent-1=21) | (colAgent=5&rowAgent-1=21) | (colAgent=6&rowAgent-1=21) | (colAgent=7&rowAgent-1=21) | (colAgent=8&rowAgent-1=21) | (colAgent=9&rowAgent-1=21) | (colAgent=10&rowAgent-1=21) | (colAgent=11&rowAgent-1=21) | (colAgent=12&rowAgent-1=21) | (colAgent=13&rowAgent-1=21) | (colAgent=14&rowAgent-1=21) | (colAgent=15&rowAgent-1=21) | (colAgent=16&rowAgent-1=21) | (colAgent=17&rowAgent-1=21) | (colAgent=18&rowAgent-1=21) | (colAgent=19&rowAgent-1=21) | (colAgent=20&rowAgent-1=21) | (colAgent=21&rowAgent-1=21) | (colAgent=22&rowAgent-1=21) | (colAgent=23&rowAgent-1=21) | (colAgent=24&rowAgent-1=21) | (colAgent=25&rowAgent-1=21) | (colAgent=26&rowAgent-1=21);
+formula AgentCannotSlipNorthEast = (colAgent+1=0&rowAgent-1=0) | (colAgent+1=1&rowAgent-1=0) | (colAgent+1=2&rowAgent-1=0) | (colAgent+1=3&rowAgent-1=0) | (colAgent+1=4&rowAgent-1=0) | (colAgent+1=5&rowAgent-1=0) | (colAgent+1=6&rowAgent-1=0) | (colAgent+1=7&rowAgent-1=0) | (colAgent+1=8&rowAgent-1=0) | (colAgent+1=9&rowAgent-1=0) | (colAgent+1=10&rowAgent-1=0) | (colAgent+1=11&rowAgent-1=0) | (colAgent+1=12&rowAgent-1=0) | (colAgent+1=13&rowAgent-1=0) | (colAgent+1=14&rowAgent-1=0) | (colAgent+1=15&rowAgent-1=0) | (colAgent+1=16&rowAgent-1=0) | (colAgent+1=17&rowAgent-1=0) | (colAgent+1=18&rowAgent-1=0) | (colAgent+1=19&rowAgent-1=0) | (colAgent+1=20&rowAgent-1=0) | (colAgent+1=21&rowAgent-1=0) | (colAgent+1=22&rowAgent-1=0) | (colAgent+1=23&rowAgent-1=0) | (colAgent+1=24&rowAgent-1=0) | (colAgent+1=25&rowAgent-1=0) | (colAgent+1=26&rowAgent-1=0) | (colAgent+1=0&rowAgent-1=1) | (colAgent+1=26&rowAgent-1=1) | (colAgent+1=0&rowAgent-1=2) | (colAgent+1=26&rowAgent-1=2) | (colAgent+1=0&rowAgent-1=3) | (colAgent+1=26&rowAgent-1=3) | (colAgent+1=0&rowAgent-1=4) | (colAgent+1=26&rowAgent-1=4) | (colAgent+1=0&rowAgent-1=5) | (colAgent+1=26&rowAgent-1=5) | (colAgent+1=0&rowAgent-1=6) | (colAgent+1=26&rowAgent-1=6) | (colAgent+1=0&rowAgent-1=7) | (colAgent+1=26&rowAgent-1=7) | (colAgent+1=0&rowAgent-1=8) | (colAgent+1=26&rowAgent-1=8) | (colAgent+1=0&rowAgent-1=9) | (colAgent+1=26&rowAgent-1=9) | (colAgent+1=0&rowAgent-1=10) | (colAgent+1=26&rowAgent-1=10) | (colAgent+1=0&rowAgent-1=11) | (colAgent+1=26&rowAgent-1=11) | (colAgent+1=0&rowAgent-1=12) | (colAgent+1=26&rowAgent-1=12) | (colAgent+1=0&rowAgent-1=13) | (colAgent+1=26&rowAgent-1=13) | (colAgent+1=0&rowAgent-1=14) | (colAgent+1=26&rowAgent-1=14) | (colAgent+1=0&rowAgent-1=15) | (colAgent+1=26&rowAgent-1=15) | (colAgent+1=0&rowAgent-1=16) | (colAgent+1=26&rowAgent-1=16) | (colAgent+1=0&rowAgent-1=17) | (colAgent+1=26&rowAgent-1=17) | (colAgent+1=0&rowAgent-1=18) | (colAgent+1=26&rowAgent-1=18) | (colAgent+1=0&rowAgent-1=19) | (colAgent+1=26&rowAgent-1=19) | (colAgent+1=0&rowAgent-1=20) | (colAgent+1=26&rowAgent-1=20) | (colAgent+1=0&rowAgent-1=21) | (colAgent+1=1&rowAgent-1=21) | (colAgent+1=2&rowAgent-1=21) | (colAgent+1=3&rowAgent-1=21) | (colAgent+1=4&rowAgent-1=21) | (colAgent+1=5&rowAgent-1=21) | (colAgent+1=6&rowAgent-1=21) | (colAgent+1=7&rowAgent-1=21) | (colAgent+1=8&rowAgent-1=21) | (colAgent+1=9&rowAgent-1=21) | (colAgent+1=10&rowAgent-1=21) | (colAgent+1=11&rowAgent-1=21) | (colAgent+1=12&rowAgent-1=21) | (colAgent+1=13&rowAgent-1=21) | (colAgent+1=14&rowAgent-1=21) | (colAgent+1=15&rowAgent-1=21) | (colAgent+1=16&rowAgent-1=21) | (colAgent+1=17&rowAgent-1=21) | (colAgent+1=18&rowAgent-1=21) | (colAgent+1=19&rowAgent-1=21) | (colAgent+1=20&rowAgent-1=21) | (colAgent+1=21&rowAgent-1=21) | (colAgent+1=22&rowAgent-1=21) | (colAgent+1=23&rowAgent-1=21) | (colAgent+1=24&rowAgent-1=21) | (colAgent+1=25&rowAgent-1=21) | (colAgent+1=26&rowAgent-1=21);
+formula AgentCannotSlipNorthWest = (colAgent-1=0&rowAgent-1=0) | (colAgent-1=1&rowAgent-1=0) | (colAgent-1=2&rowAgent-1=0) | (colAgent-1=3&rowAgent-1=0) | (colAgent-1=4&rowAgent-1=0) | (colAgent-1=5&rowAgent-1=0) | (colAgent-1=6&rowAgent-1=0) | (colAgent-1=7&rowAgent-1=0) | (colAgent-1=8&rowAgent-1=0) | (colAgent-1=9&rowAgent-1=0) | (colAgent-1=10&rowAgent-1=0) | (colAgent-1=11&rowAgent-1=0) | (colAgent-1=12&rowAgent-1=0) | (colAgent-1=13&rowAgent-1=0) | (colAgent-1=14&rowAgent-1=0) | (colAgent-1=15&rowAgent-1=0) | (colAgent-1=16&rowAgent-1=0) | (colAgent-1=17&rowAgent-1=0) | (colAgent-1=18&rowAgent-1=0) | (colAgent-1=19&rowAgent-1=0) | (colAgent-1=20&rowAgent-1=0) | (colAgent-1=21&rowAgent-1=0) | (colAgent-1=22&rowAgent-1=0) | (colAgent-1=23&rowAgent-1=0) | (colAgent-1=24&rowAgent-1=0) | (colAgent-1=25&rowAgent-1=0) | (colAgent-1=26&rowAgent-1=0) | (colAgent-1=0&rowAgent-1=1) | (colAgent-1=26&rowAgent-1=1) | (colAgent-1=0&rowAgent-1=2) | (colAgent-1=26&rowAgent-1=2) | (colAgent-1=0&rowAgent-1=3) | (colAgent-1=26&rowAgent-1=3) | (colAgent-1=0&rowAgent-1=4) | (colAgent-1=26&rowAgent-1=4) | (colAgent-1=0&rowAgent-1=5) | (colAgent-1=26&rowAgent-1=5) | (colAgent-1=0&rowAgent-1=6) | (colAgent-1=26&rowAgent-1=6) | (colAgent-1=0&rowAgent-1=7) | (colAgent-1=26&rowAgent-1=7) | (colAgent-1=0&rowAgent-1=8) | (colAgent-1=26&rowAgent-1=8) | (colAgent-1=0&rowAgent-1=9) | (colAgent-1=26&rowAgent-1=9) | (colAgent-1=0&rowAgent-1=10) | (colAgent-1=26&rowAgent-1=10) | (colAgent-1=0&rowAgent-1=11) | (colAgent-1=26&rowAgent-1=11) | (colAgent-1=0&rowAgent-1=12) | (colAgent-1=26&rowAgent-1=12) | (colAgent-1=0&rowAgent-1=13) | (colAgent-1=26&rowAgent-1=13) | (colAgent-1=0&rowAgent-1=14) | (colAgent-1=26&rowAgent-1=14) | (colAgent-1=0&rowAgent-1=15) | (colAgent-1=26&rowAgent-1=15) | (colAgent-1=0&rowAgent-1=16) | (colAgent-1=26&rowAgent-1=16) | (colAgent-1=0&rowAgent-1=17) | (colAgent-1=26&rowAgent-1=17) | (colAgent-1=0&rowAgent-1=18) | (colAgent-1=26&rowAgent-1=18) | (colAgent-1=0&rowAgent-1=19) | (colAgent-1=26&rowAgent-1=19) | (colAgent-1=0&rowAgent-1=20) | (colAgent-1=26&rowAgent-1=20) | (colAgent-1=0&rowAgent-1=21) | (colAgent-1=1&rowAgent-1=21) | (colAgent-1=2&rowAgent-1=21) | (colAgent-1=3&rowAgent-1=21) | (colAgent-1=4&rowAgent-1=21) | (colAgent-1=5&rowAgent-1=21) | (colAgent-1=6&rowAgent-1=21) | (colAgent-1=7&rowAgent-1=21) | (colAgent-1=8&rowAgent-1=21) | (colAgent-1=9&rowAgent-1=21) | (colAgent-1=10&rowAgent-1=21) | (colAgent-1=11&rowAgent-1=21) | (colAgent-1=12&rowAgent-1=21) | (colAgent-1=13&rowAgent-1=21) | (colAgent-1=14&rowAgent-1=21) | (colAgent-1=15&rowAgent-1=21) | (colAgent-1=16&rowAgent-1=21) | (colAgent-1=17&rowAgent-1=21) | (colAgent-1=18&rowAgent-1=21) | (colAgent-1=19&rowAgent-1=21) | (colAgent-1=20&rowAgent-1=21) | (colAgent-1=21&rowAgent-1=21) | (colAgent-1=22&rowAgent-1=21) | (colAgent-1=23&rowAgent-1=21) | (colAgent-1=24&rowAgent-1=21) | (colAgent-1=25&rowAgent-1=21) | (colAgent-1=26&rowAgent-1=21);
+formula AgentCannotSlipSouth = (colAgent=0&rowAgent+1=0) | (colAgent=1&rowAgent+1=0) | (colAgent=2&rowAgent+1=0) | (colAgent=3&rowAgent+1=0) | (colAgent=4&rowAgent+1=0) | (colAgent=5&rowAgent+1=0) | (colAgent=6&rowAgent+1=0) | (colAgent=7&rowAgent+1=0) | (colAgent=8&rowAgent+1=0) | (colAgent=9&rowAgent+1=0) | (colAgent=10&rowAgent+1=0) | (colAgent=11&rowAgent+1=0) | (colAgent=12&rowAgent+1=0) | (colAgent=13&rowAgent+1=0) | (colAgent=14&rowAgent+1=0) | (colAgent=15&rowAgent+1=0) | (colAgent=16&rowAgent+1=0) | (colAgent=17&rowAgent+1=0) | (colAgent=18&rowAgent+1=0) | (colAgent=19&rowAgent+1=0) | (colAgent=20&rowAgent+1=0) | (colAgent=21&rowAgent+1=0) | (colAgent=22&rowAgent+1=0) | (colAgent=23&rowAgent+1=0) | (colAgent=24&rowAgent+1=0) | (colAgent=25&rowAgent+1=0) | (colAgent=26&rowAgent+1=0) | (colAgent=0&rowAgent+1=1) | (colAgent=26&rowAgent+1=1) | (colAgent=0&rowAgent+1=2) | (colAgent=26&rowAgent+1=2) | (colAgent=0&rowAgent+1=3) | (colAgent=26&rowAgent+1=3) | (colAgent=0&rowAgent+1=4) | (colAgent=26&rowAgent+1=4) | (colAgent=0&rowAgent+1=5) | (colAgent=26&rowAgent+1=5) | (colAgent=0&rowAgent+1=6) | (colAgent=26&rowAgent+1=6) | (colAgent=0&rowAgent+1=7) | (colAgent=26&rowAgent+1=7) | (colAgent=0&rowAgent+1=8) | (colAgent=26&rowAgent+1=8) | (colAgent=0&rowAgent+1=9) | (colAgent=26&rowAgent+1=9) | (colAgent=0&rowAgent+1=10) | (colAgent=26&rowAgent+1=10) | (colAgent=0&rowAgent+1=11) | (colAgent=26&rowAgent+1=11) | (colAgent=0&rowAgent+1=12) | (colAgent=26&rowAgent+1=12) | (colAgent=0&rowAgent+1=13) | (colAgent=26&rowAgent+1=13) | (colAgent=0&rowAgent+1=14) | (colAgent=26&rowAgent+1=14) | (colAgent=0&rowAgent+1=15) | (colAgent=26&rowAgent+1=15) | (colAgent=0&rowAgent+1=16) | (colAgent=26&rowAgent+1=16) | (colAgent=0&rowAgent+1=17) | (colAgent=26&rowAgent+1=17) | (colAgent=0&rowAgent+1=18) | (colAgent=26&rowAgent+1=18) | (colAgent=0&rowAgent+1=19) | (colAgent=26&rowAgent+1=19) | (colAgent=0&rowAgent+1=20) | (colAgent=26&rowAgent+1=20) | (colAgent=0&rowAgent+1=21) | (colAgent=1&rowAgent+1=21) | (colAgent=2&rowAgent+1=21) | (colAgent=3&rowAgent+1=21) | (colAgent=4&rowAgent+1=21) | (colAgent=5&rowAgent+1=21) | (colAgent=6&rowAgent+1=21) | (colAgent=7&rowAgent+1=21) | (colAgent=8&rowAgent+1=21) | (colAgent=9&rowAgent+1=21) | (colAgent=10&rowAgent+1=21) | (colAgent=11&rowAgent+1=21) | (colAgent=12&rowAgent+1=21) | (colAgent=13&rowAgent+1=21) | (colAgent=14&rowAgent+1=21) | (colAgent=15&rowAgent+1=21) | (colAgent=16&rowAgent+1=21) | (colAgent=17&rowAgent+1=21) | (colAgent=18&rowAgent+1=21) | (colAgent=19&rowAgent+1=21) | (colAgent=20&rowAgent+1=21) | (colAgent=21&rowAgent+1=21) | (colAgent=22&rowAgent+1=21) | (colAgent=23&rowAgent+1=21) | (colAgent=24&rowAgent+1=21) | (colAgent=25&rowAgent+1=21) | (colAgent=26&rowAgent+1=21);
+formula AgentCannotSlipSouthEast = (colAgent+1=0&rowAgent+1=0) | (colAgent+1=1&rowAgent+1=0) | (colAgent+1=2&rowAgent+1=0) | (colAgent+1=3&rowAgent+1=0) | (colAgent+1=4&rowAgent+1=0) | (colAgent+1=5&rowAgent+1=0) | (colAgent+1=6&rowAgent+1=0) | (colAgent+1=7&rowAgent+1=0) | (colAgent+1=8&rowAgent+1=0) | (colAgent+1=9&rowAgent+1=0) | (colAgent+1=10&rowAgent+1=0) | (colAgent+1=11&rowAgent+1=0) | (colAgent+1=12&rowAgent+1=0) | (colAgent+1=13&rowAgent+1=0) | (colAgent+1=14&rowAgent+1=0) | (colAgent+1=15&rowAgent+1=0) | (colAgent+1=16&rowAgent+1=0) | (colAgent+1=17&rowAgent+1=0) | (colAgent+1=18&rowAgent+1=0) | (colAgent+1=19&rowAgent+1=0) | (colAgent+1=20&rowAgent+1=0) | (colAgent+1=21&rowAgent+1=0) | (colAgent+1=22&rowAgent+1=0) | (colAgent+1=23&rowAgent+1=0) | (colAgent+1=24&rowAgent+1=0) | (colAgent+1=25&rowAgent+1=0) | (colAgent+1=26&rowAgent+1=0) | (colAgent+1=0&rowAgent+1=1) | (colAgent+1=26&rowAgent+1=1) | (colAgent+1=0&rowAgent+1=2) | (colAgent+1=26&rowAgent+1=2) | (colAgent+1=0&rowAgent+1=3) | (colAgent+1=26&rowAgent+1=3) | (colAgent+1=0&rowAgent+1=4) | (colAgent+1=26&rowAgent+1=4) | (colAgent+1=0&rowAgent+1=5) | (colAgent+1=26&rowAgent+1=5) | (colAgent+1=0&rowAgent+1=6) | (colAgent+1=26&rowAgent+1=6) | (colAgent+1=0&rowAgent+1=7) | (colAgent+1=26&rowAgent+1=7) | (colAgent+1=0&rowAgent+1=8) | (colAgent+1=26&rowAgent+1=8) | (colAgent+1=0&rowAgent+1=9) | (colAgent+1=26&rowAgent+1=9) | (colAgent+1=0&rowAgent+1=10) | (colAgent+1=26&rowAgent+1=10) | (colAgent+1=0&rowAgent+1=11) | (colAgent+1=26&rowAgent+1=11) | (colAgent+1=0&rowAgent+1=12) | (colAgent+1=26&rowAgent+1=12) | (colAgent+1=0&rowAgent+1=13) | (colAgent+1=26&rowAgent+1=13) | (colAgent+1=0&rowAgent+1=14) | (colAgent+1=26&rowAgent+1=14) | (colAgent+1=0&rowAgent+1=15) | (colAgent+1=26&rowAgent+1=15) | (colAgent+1=0&rowAgent+1=16) | (colAgent+1=26&rowAgent+1=16) | (colAgent+1=0&rowAgent+1=17) | (colAgent+1=26&rowAgent+1=17) | (colAgent+1=0&rowAgent+1=18) | (colAgent+1=26&rowAgent+1=18) | (colAgent+1=0&rowAgent+1=19) | (colAgent+1=26&rowAgent+1=19) | (colAgent+1=0&rowAgent+1=20) | (colAgent+1=26&rowAgent+1=20) | (colAgent+1=0&rowAgent+1=21) | (colAgent+1=1&rowAgent+1=21) | (colAgent+1=2&rowAgent+1=21) | (colAgent+1=3&rowAgent+1=21) | (colAgent+1=4&rowAgent+1=21) | (colAgent+1=5&rowAgent+1=21) | (colAgent+1=6&rowAgent+1=21) | (colAgent+1=7&rowAgent+1=21) | (colAgent+1=8&rowAgent+1=21) | (colAgent+1=9&rowAgent+1=21) | (colAgent+1=10&rowAgent+1=21) | (colAgent+1=11&rowAgent+1=21) | (colAgent+1=12&rowAgent+1=21) | (colAgent+1=13&rowAgent+1=21) | (colAgent+1=14&rowAgent+1=21) | (colAgent+1=15&rowAgent+1=21) | (colAgent+1=16&rowAgent+1=21) | (colAgent+1=17&rowAgent+1=21) | (colAgent+1=18&rowAgent+1=21) | (colAgent+1=19&rowAgent+1=21) | (colAgent+1=20&rowAgent+1=21) | (colAgent+1=21&rowAgent+1=21) | (colAgent+1=22&rowAgent+1=21) | (colAgent+1=23&rowAgent+1=21) | (colAgent+1=24&rowAgent+1=21) | (colAgent+1=25&rowAgent+1=21) | (colAgent+1=26&rowAgent+1=21);
+formula AgentCannotSlipSouthWest = (colAgent-1=0&rowAgent+1=0) | (colAgent-1=1&rowAgent+1=0) | (colAgent-1=2&rowAgent+1=0) | (colAgent-1=3&rowAgent+1=0) | (colAgent-1=4&rowAgent+1=0) | (colAgent-1=5&rowAgent+1=0) | (colAgent-1=6&rowAgent+1=0) | (colAgent-1=7&rowAgent+1=0) | (colAgent-1=8&rowAgent+1=0) | (colAgent-1=9&rowAgent+1=0) | (colAgent-1=10&rowAgent+1=0) | (colAgent-1=11&rowAgent+1=0) | (colAgent-1=12&rowAgent+1=0) | (colAgent-1=13&rowAgent+1=0) | (colAgent-1=14&rowAgent+1=0) | (colAgent-1=15&rowAgent+1=0) | (colAgent-1=16&rowAgent+1=0) | (colAgent-1=17&rowAgent+1=0) | (colAgent-1=18&rowAgent+1=0) | (colAgent-1=19&rowAgent+1=0) | (colAgent-1=20&rowAgent+1=0) | (colAgent-1=21&rowAgent+1=0) | (colAgent-1=22&rowAgent+1=0) | (colAgent-1=23&rowAgent+1=0) | (colAgent-1=24&rowAgent+1=0) | (colAgent-1=25&rowAgent+1=0) | (colAgent-1=26&rowAgent+1=0) | (colAgent-1=0&rowAgent+1=1) | (colAgent-1=26&rowAgent+1=1) | (colAgent-1=0&rowAgent+1=2) | (colAgent-1=26&rowAgent+1=2) | (colAgent-1=0&rowAgent+1=3) | (colAgent-1=26&rowAgent+1=3) | (colAgent-1=0&rowAgent+1=4) | (colAgent-1=26&rowAgent+1=4) | (colAgent-1=0&rowAgent+1=5) | (colAgent-1=26&rowAgent+1=5) | (colAgent-1=0&rowAgent+1=6) | (colAgent-1=26&rowAgent+1=6) | (colAgent-1=0&rowAgent+1=7) | (colAgent-1=26&rowAgent+1=7) | (colAgent-1=0&rowAgent+1=8) | (colAgent-1=26&rowAgent+1=8) | (colAgent-1=0&rowAgent+1=9) | (colAgent-1=26&rowAgent+1=9) | (colAgent-1=0&rowAgent+1=10) | (colAgent-1=26&rowAgent+1=10) | (colAgent-1=0&rowAgent+1=11) | (colAgent-1=26&rowAgent+1=11) | (colAgent-1=0&rowAgent+1=12) | (colAgent-1=26&rowAgent+1=12) | (colAgent-1=0&rowAgent+1=13) | (colAgent-1=26&rowAgent+1=13) | (colAgent-1=0&rowAgent+1=14) | (colAgent-1=26&rowAgent+1=14) | (colAgent-1=0&rowAgent+1=15) | (colAgent-1=26&rowAgent+1=15) | (colAgent-1=0&rowAgent+1=16) | (colAgent-1=26&rowAgent+1=16) | (colAgent-1=0&rowAgent+1=17) | (colAgent-1=26&rowAgent+1=17) | (colAgent-1=0&rowAgent+1=18) | (colAgent-1=26&rowAgent+1=18) | (colAgent-1=0&rowAgent+1=19) | (colAgent-1=26&rowAgent+1=19) | (colAgent-1=0&rowAgent+1=20) | (colAgent-1=26&rowAgent+1=20) | (colAgent-1=0&rowAgent+1=21) | (colAgent-1=1&rowAgent+1=21) | (colAgent-1=2&rowAgent+1=21) | (colAgent-1=3&rowAgent+1=21) | (colAgent-1=4&rowAgent+1=21) | (colAgent-1=5&rowAgent+1=21) | (colAgent-1=6&rowAgent+1=21) | (colAgent-1=7&rowAgent+1=21) | (colAgent-1=8&rowAgent+1=21) | (colAgent-1=9&rowAgent+1=21) | (colAgent-1=10&rowAgent+1=21) | (colAgent-1=11&rowAgent+1=21) | (colAgent-1=12&rowAgent+1=21) | (colAgent-1=13&rowAgent+1=21) | (colAgent-1=14&rowAgent+1=21) | (colAgent-1=15&rowAgent+1=21) | (colAgent-1=16&rowAgent+1=21) | (colAgent-1=17&rowAgent+1=21) | (colAgent-1=18&rowAgent+1=21) | (colAgent-1=19&rowAgent+1=21) | (colAgent-1=20&rowAgent+1=21) | (colAgent-1=21&rowAgent+1=21) | (colAgent-1=22&rowAgent+1=21) | (colAgent-1=23&rowAgent+1=21) | (colAgent-1=24&rowAgent+1=21) | (colAgent-1=25&rowAgent+1=21) | (colAgent-1=26&rowAgent+1=21);
+formula AgentCannotSlipWest = (colAgent-1=0&rowAgent=0) | (colAgent-1=1&rowAgent=0) | (colAgent-1=2&rowAgent=0) | (colAgent-1=3&rowAgent=0) | (colAgent-1=4&rowAgent=0) | (colAgent-1=5&rowAgent=0) | (colAgent-1=6&rowAgent=0) | (colAgent-1=7&rowAgent=0) | (colAgent-1=8&rowAgent=0) | (colAgent-1=9&rowAgent=0) | (colAgent-1=10&rowAgent=0) | (colAgent-1=11&rowAgent=0) | (colAgent-1=12&rowAgent=0) | (colAgent-1=13&rowAgent=0) | (colAgent-1=14&rowAgent=0) | (colAgent-1=15&rowAgent=0) | (colAgent-1=16&rowAgent=0) | (colAgent-1=17&rowAgent=0) | (colAgent-1=18&rowAgent=0) | (colAgent-1=19&rowAgent=0) | (colAgent-1=20&rowAgent=0) | (colAgent-1=21&rowAgent=0) | (colAgent-1=22&rowAgent=0) | (colAgent-1=23&rowAgent=0) | (colAgent-1=24&rowAgent=0) | (colAgent-1=25&rowAgent=0) | (colAgent-1=26&rowAgent=0) | (colAgent-1=0&rowAgent=1) | (colAgent-1=26&rowAgent=1) | (colAgent-1=0&rowAgent=2) | (colAgent-1=26&rowAgent=2) | (colAgent-1=0&rowAgent=3) | (colAgent-1=26&rowAgent=3) | (colAgent-1=0&rowAgent=4) | (colAgent-1=26&rowAgent=4) | (colAgent-1=0&rowAgent=5) | (colAgent-1=26&rowAgent=5) | (colAgent-1=0&rowAgent=6) | (colAgent-1=26&rowAgent=6) | (colAgent-1=0&rowAgent=7) | (colAgent-1=26&rowAgent=7) | (colAgent-1=0&rowAgent=8) | (colAgent-1=26&rowAgent=8) | (colAgent-1=0&rowAgent=9) | (colAgent-1=26&rowAgent=9) | (colAgent-1=0&rowAgent=10) | (colAgent-1=26&rowAgent=10) | (colAgent-1=0&rowAgent=11) | (colAgent-1=26&rowAgent=11) | (colAgent-1=0&rowAgent=12) | (colAgent-1=26&rowAgent=12) | (colAgent-1=0&rowAgent=13) | (colAgent-1=26&rowAgent=13) | (colAgent-1=0&rowAgent=14) | (colAgent-1=26&rowAgent=14) | (colAgent-1=0&rowAgent=15) | (colAgent-1=26&rowAgent=15) | (colAgent-1=0&rowAgent=16) | (colAgent-1=26&rowAgent=16) | (colAgent-1=0&rowAgent=17) | (colAgent-1=26&rowAgent=17) | (colAgent-1=0&rowAgent=18) | (colAgent-1=26&rowAgent=18) | (colAgent-1=0&rowAgent=19) | (colAgent-1=26&rowAgent=19) | (colAgent-1=0&rowAgent=20) | (colAgent-1=26&rowAgent=20) | (colAgent-1=0&rowAgent=21) | (colAgent-1=1&rowAgent=21) | (colAgent-1=2&rowAgent=21) | (colAgent-1=3&rowAgent=21) | (colAgent-1=4&rowAgent=21) | (colAgent-1=5&rowAgent=21) | (colAgent-1=6&rowAgent=21) | (colAgent-1=7&rowAgent=21) | (colAgent-1=8&rowAgent=21) | (colAgent-1=9&rowAgent=21) | (colAgent-1=10&rowAgent=21) | (colAgent-1=11&rowAgent=21) | (colAgent-1=12&rowAgent=21) | (colAgent-1=13&rowAgent=21) | (colAgent-1=14&rowAgent=21) | (colAgent-1=15&rowAgent=21) | (colAgent-1=16&rowAgent=21) | (colAgent-1=17&rowAgent=21) | (colAgent-1=18&rowAgent=21) | (colAgent-1=19&rowAgent=21) | (colAgent-1=20&rowAgent=21) | (colAgent-1=21&rowAgent=21) | (colAgent-1=22&rowAgent=21) | (colAgent-1=23&rowAgent=21) | (colAgent-1=24&rowAgent=21) | (colAgent-1=25&rowAgent=21) | (colAgent-1=26&rowAgent=21);
+formula AgentIsOnLava = (colAgent=16&rowAgent=1) | (colAgent=17&rowAgent=1) | (colAgent=18&rowAgent=1) | (colAgent=19&rowAgent=1) | (colAgent=16&rowAgent=2) | (colAgent=17&rowAgent=2) | (colAgent=18&rowAgent=2) | (colAgent=19&rowAgent=2) | (colAgent=10&rowAgent=3) | (colAgent=11&rowAgent=3) | (colAgent=12&rowAgent=3) | (colAgent=10&rowAgent=4) | (colAgent=11&rowAgent=4) | (colAgent=12&rowAgent=4) | (colAgent=10&rowAgent=5) | (colAgent=11&rowAgent=5) | (colAgent=12&rowAgent=5) | (colAgent=10&rowAgent=6) | (colAgent=11&rowAgent=6) | (colAgent=12&rowAgent=6) | (colAgent=16&rowAgent=7) | (colAgent=17&rowAgent=7) | (colAgent=18&rowAgent=7) | (colAgent=19&rowAgent=7) | (colAgent=20&rowAgent=7) | (colAgent=21&rowAgent=7) | (colAgent=22&rowAgent=7) | (colAgent=23&rowAgent=7) | (colAgent=16&rowAgent=8) | (colAgent=17&rowAgent=8) | (colAgent=18&rowAgent=8) | (colAgent=19&rowAgent=8) | (colAgent=20&rowAgent=8) | (colAgent=21&rowAgent=8) | (colAgent=22&rowAgent=8) | (colAgent=23&rowAgent=8) | (colAgent=16&rowAgent=9) | (colAgent=17&rowAgent=9) | (colAgent=18&rowAgent=9) | (colAgent=19&rowAgent=9) | (colAgent=20&rowAgent=9) | (colAgent=21&rowAgent=9) | (colAgent=22&rowAgent=9) | (colAgent=23&rowAgent=9) | (colAgent=16&rowAgent=10) | (colAgent=17&rowAgent=10) | (colAgent=18&rowAgent=10) | (colAgent=19&rowAgent=10) | (colAgent=20&rowAgent=10) | (colAgent=21&rowAgent=10) | (colAgent=22&rowAgent=10) | (colAgent=23&rowAgent=10) | (colAgent=8&rowAgent=11) | (colAgent=9&rowAgent=11) | (colAgent=10&rowAgent=11) | (colAgent=11&rowAgent=11) | (colAgent=12&rowAgent=11) | (colAgent=16&rowAgent=11) | (colAgent=17&rowAgent=11) | (colAgent=18&rowAgent=11) | (colAgent=19&rowAgent=11) | (colAgent=20&rowAgent=11) | (colAgent=21&rowAgent=11) | (colAgent=22&rowAgent=11) | (colAgent=23&rowAgent=11) | (colAgent=8&rowAgent=12) | (colAgent=9&rowAgent=12) | (colAgent=10&rowAgent=12) | (colAgent=11&rowAgent=12) | (colAgent=12&rowAgent=12) | (colAgent=8&rowAgent=13) | (colAgent=9&rowAgent=13) | (colAgent=10&rowAgent=13) | (colAgent=11&rowAgent=13) | (colAgent=12&rowAgent=13) | (colAgent=8&rowAgent=14) | (colAgent=9&rowAgent=14) | (colAgent=10&rowAgent=14) | (colAgent=11&rowAgent=14) | (colAgent=12&rowAgent=14) | (colAgent=22&rowAgent=14) | (colAgent=23&rowAgent=14) | (colAgent=24&rowAgent=14) | (colAgent=25&rowAgent=14) | (colAgent=8&rowAgent=15) | (colAgent=9&rowAgent=15) | (colAgent=10&rowAgent=15) | (colAgent=11&rowAgent=15) | (colAgent=12&rowAgent=15) | (colAgent=22&rowAgent=15) | (colAgent=23&rowAgent=15) | (colAgent=24&rowAgent=15) | (colAgent=25&rowAgent=15) | (colAgent=8&rowAgent=16) | (colAgent=9&rowAgent=16) | (colAgent=10&rowAgent=16) | (colAgent=11&rowAgent=16) | (colAgent=12&rowAgent=16) | (colAgent=22&rowAgent=16) | (colAgent=23&rowAgent=16) | (colAgent=24&rowAgent=16) | (colAgent=25&rowAgent=16) | (colAgent=22&rowAgent=17) | (colAgent=23&rowAgent=17) | (colAgent=24&rowAgent=17) | (colAgent=25&rowAgent=17);
+formula AgentIsOnGoal = (colAgent=25&rowAgent=10);
+init
+ true
+endinit
+
+
+module Agent
+ colAgent : [1..25];
+ rowAgent : [1..20];
+ viewAgent : [0..3];
+
+ [Agent_turn_right] !AgentIsOnSlippery & !AgentIsOnLava &true -> 1.000000: (viewAgent'=mod(viewAgent+1,4));
+ [Agent_turn_left] !AgentIsOnSlippery & !AgentIsOnLava &viewAgent>0 -> 1.000000: (viewAgent'=viewAgent-1);
+ [Agent_turn_left] !AgentIsOnSlippery & !AgentIsOnLava &viewAgent=0 -> 1.000000: (viewAgent'=3);
+ [Agent_move_North] viewAgent=3 & !AgentIsOnSlippery & !AgentIsOnLava & !AgentIsOnGoal & !AgentCannotMoveNorthWall -> 1.000000: (rowAgent'=rowAgent-1);
+ [Agent_move_East] viewAgent=0 & !AgentIsOnSlippery & !AgentIsOnLava & !AgentIsOnGoal & !AgentCannotMoveEastWall -> 1.000000: (colAgent'=colAgent+1);
+ [Agent_move_South] viewAgent=1 & !AgentIsOnSlippery & !AgentIsOnLava & !AgentIsOnGoal & !AgentCannotMoveSouthWall -> 1.000000: (rowAgent'=rowAgent+1);
+ [Agent_move_West] viewAgent=2 & !AgentIsOnSlippery & !AgentIsOnLava & !AgentIsOnGoal & !AgentCannotMoveWestWall -> 1.000000: (colAgent'=colAgent-1);
+ [Agent_move_North] viewAgent=3 & AgentIsOnSlipperyNorth & !AgentCannotSlipNorth & !AgentCannotSlipNorthEast & !AgentCannotSlipNorthWest -> 0.950000: (rowAgent'=rowAgent-1) + 0.025000: (rowAgent'=rowAgent-1)&(colAgent'=colAgent+1) + 0.025000: (rowAgent'=rowAgent-1)&(colAgent'=colAgent-1);
+ [Agent_move_North] viewAgent=3 & AgentIsOnSlipperyNorth & AgentCannotSlipNorth & !AgentCannotSlipNorthEast & !AgentCannotSlipNorthWest -> 0.000000: (rowAgent'=rowAgent-1)&(colAgent'=colAgent+1) + 0.000000: (rowAgent'=rowAgent-1)&(colAgent'=colAgent-1);
+ [Agent_move_North] viewAgent=3 & AgentIsOnSlipperyNorth & !AgentCannotSlipNorth & AgentCannotSlipNorthEast & !AgentCannotSlipNorthWest -> 0.950000: (rowAgent'=rowAgent-1) + 0.050000: (rowAgent'=rowAgent-1)&(colAgent'=colAgent-1);
+ [Agent_move_North] viewAgent=3 & AgentIsOnSlipperyNorth & !AgentCannotSlipNorth & !AgentCannotSlipNorthEast & AgentCannotSlipNorthWest -> 0.950000: (rowAgent'=rowAgent-1) + 0.050000: (rowAgent'=rowAgent-1)&(colAgent'=colAgent+1);
+ [Agent_move_North] viewAgent=3 & AgentIsOnSlipperyNorth & AgentCannotSlipNorth & AgentCannotSlipNorthEast & !AgentCannotSlipNorthWest -> 1.000000: (rowAgent'=rowAgent-1)&(colAgent'=colAgent-1);
+ [Agent_move_North] viewAgent=3 & AgentIsOnSlipperyNorth & !AgentCannotSlipNorth & AgentCannotSlipNorthEast & AgentCannotSlipNorthWest -> 1.000000: (rowAgent'=rowAgent-1);
+ [Agent_move_North] viewAgent=3 & AgentIsOnSlipperyNorth & AgentCannotSlipNorth & !AgentCannotSlipNorthEast & AgentCannotSlipNorthWest -> 1.000000: (rowAgent'=rowAgent-1)&(colAgent'=colAgent+1);
+ [Agent_move_North] viewAgent=3 & AgentIsOnSlipperyNorth & AgentCannotSlipNorth & AgentCannotSlipNorthEast & AgentCannotSlipNorthWest -> true;
+ [Agent_move_West] viewAgent=2 & AgentIsOnSlipperyNorth & !AgentCannotSlipWest & !AgentCannotSlipNorthWest -> 0.950000: (colAgent'=colAgent-1) + 0.050000: (colAgent'=colAgent-1)&(rowAgent'=rowAgent-1);
+ [Agent_move_West] viewAgent=2 & AgentIsOnSlipperyNorth & AgentCannotSlipWest & !AgentCannotSlipNorthWest -> 1.000000: (colAgent'=colAgent-1)&(rowAgent'=rowAgent-1);
+ [Agent_move_West] viewAgent=2 & AgentIsOnSlipperyNorth & !AgentCannotSlipWest & AgentCannotSlipNorthWest -> 1.000000: (colAgent'=colAgent-1);
+ [Agent_move_West] viewAgent=2 & AgentIsOnSlipperyNorth & AgentCannotSlipWest & AgentCannotSlipNorthWest -> true;
+ [Agent_move_East] viewAgent=0 & AgentIsOnSlipperyNorth & !AgentCannotSlipEast & !AgentCannotSlipNorthEast -> 0.950000: (colAgent'=colAgent+1) + 0.050000: (colAgent'=colAgent+1)&(rowAgent'=rowAgent-1);
+ [Agent_move_East] viewAgent=0 & AgentIsOnSlipperyNorth & AgentCannotSlipEast & !AgentCannotSlipNorthEast -> 1.000000: (colAgent'=colAgent+1)&(rowAgent'=rowAgent-1);
+ [Agent_move_East] viewAgent=0 & AgentIsOnSlipperyNorth & !AgentCannotSlipEast & AgentCannotSlipNorthEast -> 1.000000: (colAgent'=colAgent+1);
+ [Agent_move_East] viewAgent=0 & AgentIsOnSlipperyNorth & AgentCannotSlipEast & AgentCannotSlipNorthEast -> true;
+ [Agent_move_South] viewAgent=1 & AgentIsOnSlipperyNorth & !AgentCannotSlipSouth -> 0.950000: (rowAgent'=rowAgent+1) + 0.050000: true;
+ [Agent_move_South] viewAgent=1 & AgentIsOnSlipperyNorth & AgentCannotSlipSouth -> 1.000000: true;
+ [Agent_turn_right] AgentIsOnSlipperyNorth & !AgentCannotSlipNorth & true -> 0.950000: (viewAgent'=mod(viewAgent+1,4)) + 0.050000: (rowAgent'=rowAgent-1);
+ [Agent_turn_right] AgentIsOnSlipperyNorth & AgentCannotSlipNorth & true -> 1.000000: (viewAgent'=mod(viewAgent+1,4));
+ [Agent_turn_left] AgentIsOnSlipperyNorth & !AgentCannotSlipNorth & viewAgent>0 -> 0.950000: (viewAgent'=viewAgent-1) + 0.050000: (rowAgent'=rowAgent-1);
+ [Agent_turn_left] AgentIsOnSlipperyNorth & !AgentCannotSlipNorth & viewAgent=0 -> 0.950000: (viewAgent'=3) + 0.050000: (rowAgent'=rowAgent-1);
+ [Agent_turn_left] AgentIsOnSlipperyNorth & AgentCannotSlipNorth & viewAgent>0 -> 1.000000: (viewAgent'=viewAgent-1);
+ [Agent_turn_left] AgentIsOnSlipperyNorth & AgentCannotSlipNorth & viewAgent=0 -> 1.000000: (viewAgent'=3);
+ [Agent_move_East] viewAgent=0 & AgentIsOnSlipperyEast & !AgentCannotSlipEast & !AgentCannotSlipSouthEast & !AgentCannotSlipNorthEast -> 0.950000: (colAgent'=colAgent+1) + 0.025000: (colAgent'=colAgent+1)&(rowAgent'=rowAgent+1) + 0.025000: (colAgent'=colAgent+1)&(rowAgent'=rowAgent-1);
+ [Agent_move_East] viewAgent=0 & AgentIsOnSlipperyEast & AgentCannotSlipEast & !AgentCannotSlipSouthEast & !AgentCannotSlipNorthEast -> 0.000000: (colAgent'=colAgent+1)&(rowAgent'=rowAgent+1) + 0.000000: (colAgent'=colAgent+1)&(rowAgent'=rowAgent-1);
+ [Agent_move_East] viewAgent=0 & AgentIsOnSlipperyEast & !AgentCannotSlipEast & AgentCannotSlipSouthEast & !AgentCannotSlipNorthEast -> 0.950000: (colAgent'=colAgent+1) + 0.050000: (colAgent'=colAgent+1)&(rowAgent'=rowAgent-1);
+ [Agent_move_East] viewAgent=0 & AgentIsOnSlipperyEast & !AgentCannotSlipEast & !AgentCannotSlipSouthEast & AgentCannotSlipNorthEast -> 0.950000: (colAgent'=colAgent+1) + 0.050000: (colAgent'=colAgent+1)&(rowAgent'=rowAgent+1);
+ [Agent_move_East] viewAgent=0 & AgentIsOnSlipperyEast & AgentCannotSlipEast & AgentCannotSlipSouthEast & !AgentCannotSlipNorthEast -> 1.000000: (colAgent'=colAgent+1)&(rowAgent'=rowAgent-1);
+ [Agent_move_East] viewAgent=0 & AgentIsOnSlipperyEast & !AgentCannotSlipEast & AgentCannotSlipSouthEast & AgentCannotSlipNorthEast -> 1.000000: (colAgent'=colAgent+1);
+ [Agent_move_East] viewAgent=0 & AgentIsOnSlipperyEast & AgentCannotSlipEast & !AgentCannotSlipSouthEast & AgentCannotSlipNorthEast -> 1.000000: (colAgent'=colAgent+1)&(rowAgent'=rowAgent+1);
+ [Agent_move_East] viewAgent=0 & AgentIsOnSlipperyEast & AgentCannotSlipEast & AgentCannotSlipSouthEast & AgentCannotSlipNorthEast -> true;
+ [Agent_move_North] viewAgent=3 & AgentIsOnSlipperyEast & !AgentCannotSlipNorth & !AgentCannotSlipNorthEast -> 0.950000: (rowAgent'=rowAgent-1) + 0.050000: (colAgent'=colAgent+1)&(rowAgent'=rowAgent-1);
+ [Agent_move_North] viewAgent=3 & AgentIsOnSlipperyEast & AgentCannotSlipNorth & !AgentCannotSlipNorthEast -> 1.000000: (colAgent'=colAgent+1)&(rowAgent'=rowAgent-1);
+ [Agent_move_North] viewAgent=3 & AgentIsOnSlipperyEast & !AgentCannotSlipNorth & AgentCannotSlipNorthEast -> 1.000000: (rowAgent'=rowAgent-1);
+ [Agent_move_North] viewAgent=3 & AgentIsOnSlipperyEast & AgentCannotSlipNorth & AgentCannotSlipNorthEast -> true;
+ [Agent_move_South] viewAgent=1 & AgentIsOnSlipperyEast & !AgentCannotSlipSouth & !AgentCannotSlipSouthEast -> 0.950000: (rowAgent'=rowAgent+1) + 0.050000: (colAgent'=colAgent+1)&(rowAgent'=rowAgent+1);
+ [Agent_move_South] viewAgent=1 & AgentIsOnSlipperyEast & AgentCannotSlipSouth & !AgentCannotSlipSouthEast -> 1.000000: (colAgent'=colAgent+1)&(rowAgent'=rowAgent+1);
+ [Agent_move_South] viewAgent=1 & AgentIsOnSlipperyEast & !AgentCannotSlipSouth & AgentCannotSlipSouthEast -> 1.000000: (rowAgent'=rowAgent+1);
+ [Agent_move_South] viewAgent=1 & AgentIsOnSlipperyEast & AgentCannotSlipSouth & AgentCannotSlipSouthEast -> true;
+ [Agent_move_West] viewAgent=2 & AgentIsOnSlipperyEast & !AgentCannotSlipEast -> 0.950000: (colAgent'=colAgent+1) + 0.050000: true;
+ [Agent_move_West] viewAgent=2 & AgentIsOnSlipperyEast & AgentCannotSlipEast -> 1.000000: true;
+ [Agent_turn_right] AgentIsOnSlipperyEast & !AgentCannotSlipEast & true -> 0.950000: (viewAgent'=mod(viewAgent+1,4)) + 0.050000: (colAgent'=colAgent+1);
+ [Agent_turn_right] AgentIsOnSlipperyEast & AgentCannotSlipEast & true -> 1.000000: (viewAgent'=mod(viewAgent+1,4));
+ [Agent_turn_left] AgentIsOnSlipperyEast & !AgentCannotSlipEast & viewAgent>0 -> 0.950000: (viewAgent'=viewAgent-1) + 0.050000: (colAgent'=colAgent+1);
+ [Agent_turn_left] AgentIsOnSlipperyEast & !AgentCannotSlipEast & viewAgent=0 -> 0.950000: (viewAgent'=3) + 0.050000: (colAgent'=colAgent+1);
+ [Agent_turn_left] AgentIsOnSlipperyEast & AgentCannotSlipEast & viewAgent>0 -> 1.000000: (viewAgent'=viewAgent-1);
+ [Agent_turn_left] AgentIsOnSlipperyEast & AgentCannotSlipEast & viewAgent=0 -> 1.000000: (viewAgent'=3);
+ [Agent_move_South] viewAgent=1 & AgentIsOnSlipperySouth & !AgentCannotSlipSouth & !AgentCannotSlipSouthEast & !AgentCannotSlipSouthWest -> 0.950000: (rowAgent'=rowAgent+1) + 0.025000: (rowAgent'=rowAgent+1)&(colAgent'=colAgent+1) + 0.025000: (rowAgent'=rowAgent+1)&(colAgent'=colAgent-1);
+ [Agent_move_South] viewAgent=1 & AgentIsOnSlipperySouth & AgentCannotSlipSouth & !AgentCannotSlipSouthEast & !AgentCannotSlipSouthWest -> 0.000000: (rowAgent'=rowAgent+1)&(colAgent'=colAgent+1) + 0.000000: (rowAgent'=rowAgent+1)&(colAgent'=colAgent-1);
+ [Agent_move_South] viewAgent=1 & AgentIsOnSlipperySouth & !AgentCannotSlipSouth & AgentCannotSlipSouthEast & !AgentCannotSlipSouthWest -> 0.950000: (rowAgent'=rowAgent+1) + 0.050000: (rowAgent'=rowAgent+1)&(colAgent'=colAgent-1);
+ [Agent_move_South] viewAgent=1 & AgentIsOnSlipperySouth & !AgentCannotSlipSouth & !AgentCannotSlipSouthEast & AgentCannotSlipSouthWest -> 0.950000: (rowAgent'=rowAgent+1) + 0.050000: (rowAgent'=rowAgent+1)&(colAgent'=colAgent+1);
+ [Agent_move_South] viewAgent=1 & AgentIsOnSlipperySouth & AgentCannotSlipSouth & AgentCannotSlipSouthEast & !AgentCannotSlipSouthWest -> 1.000000: (rowAgent'=rowAgent+1)&(colAgent'=colAgent-1);
+ [Agent_move_South] viewAgent=1 & AgentIsOnSlipperySouth & !AgentCannotSlipSouth & AgentCannotSlipSouthEast & AgentCannotSlipSouthWest -> 1.000000: (rowAgent'=rowAgent+1);
+ [Agent_move_South] viewAgent=1 & AgentIsOnSlipperySouth & AgentCannotSlipSouth & !AgentCannotSlipSouthEast & AgentCannotSlipSouthWest -> 1.000000: (rowAgent'=rowAgent+1)&(colAgent'=colAgent+1);
+ [Agent_move_South] viewAgent=1 & AgentIsOnSlipperySouth & AgentCannotSlipSouth & AgentCannotSlipSouthEast & AgentCannotSlipSouthWest -> true;
+ [Agent_move_West] viewAgent=2 & AgentIsOnSlipperySouth & !AgentCannotSlipWest & !AgentCannotSlipSouthWest -> 0.950000: (colAgent'=colAgent-1) + 0.050000: (colAgent'=colAgent-1)&(rowAgent'=rowAgent+1);
+ [Agent_move_West] viewAgent=2 & AgentIsOnSlipperySouth & AgentCannotSlipWest & !AgentCannotSlipSouthWest -> 1.000000: (colAgent'=colAgent-1)&(rowAgent'=rowAgent+1);
+ [Agent_move_West] viewAgent=2 & AgentIsOnSlipperySouth & !AgentCannotSlipWest & AgentCannotSlipSouthWest -> 1.000000: (colAgent'=colAgent-1);
+ [Agent_move_West] viewAgent=2 & AgentIsOnSlipperySouth & AgentCannotSlipWest & AgentCannotSlipSouthWest -> true;
+ [Agent_move_East] viewAgent=0 & AgentIsOnSlipperySouth & !AgentCannotSlipEast & !AgentCannotSlipSouthEast -> 0.950000: (colAgent'=colAgent+1) + 0.050000: (colAgent'=colAgent+1)&(rowAgent'=rowAgent+1);
+ [Agent_move_East] viewAgent=0 & AgentIsOnSlipperySouth & AgentCannotSlipEast & !AgentCannotSlipSouthEast -> 1.000000: (colAgent'=colAgent+1)&(rowAgent'=rowAgent+1);
+ [Agent_move_East] viewAgent=0 & AgentIsOnSlipperySouth & !AgentCannotSlipEast & AgentCannotSlipSouthEast -> 1.000000: (colAgent'=colAgent+1);
+ [Agent_move_East] viewAgent=0 & AgentIsOnSlipperySouth & AgentCannotSlipEast & AgentCannotSlipSouthEast -> true;
+ [Agent_move_North] viewAgent=3 & AgentIsOnSlipperySouth & !AgentCannotSlipSouth -> 0.950000: (rowAgent'=rowAgent-1) + 0.050000: true;
+ [Agent_move_North] viewAgent=3 & AgentIsOnSlipperySouth & AgentCannotSlipSouth -> 1.000000: true;
+ [Agent_turn_right] AgentIsOnSlipperySouth & !AgentCannotSlipSouth & true -> 0.950000: (viewAgent'=mod(viewAgent+1,4)) + 0.050000: (rowAgent'=rowAgent+1);
+ [Agent_turn_right] AgentIsOnSlipperySouth & AgentCannotSlipSouth & true -> 1.000000: (viewAgent'=mod(viewAgent+1,4));
+ [Agent_turn_left] AgentIsOnSlipperySouth & !AgentCannotSlipSouth & viewAgent>0 -> 0.950000: (viewAgent'=viewAgent-1) + 0.050000: (rowAgent'=rowAgent+1);
+ [Agent_turn_left] AgentIsOnSlipperySouth & !AgentCannotSlipSouth & viewAgent=0 -> 0.950000: (viewAgent'=3) + 0.050000: (rowAgent'=rowAgent+1);
+ [Agent_turn_left] AgentIsOnSlipperySouth & AgentCannotSlipSouth & viewAgent>0 -> 1.000000: (viewAgent'=viewAgent-1);
+ [Agent_turn_left] AgentIsOnSlipperySouth & AgentCannotSlipSouth & viewAgent=0 -> 1.000000: (viewAgent'=3);
+ [Agent_move_West] viewAgent=2 & AgentIsOnSlipperyWest & !AgentCannotSlipWest & !AgentCannotSlipSouthWest & !AgentCannotSlipNorthWest -> 0.950000: (colAgent'=colAgent-1) + 0.025000: (colAgent'=colAgent-1)&(rowAgent'=rowAgent+1) + 0.025000: (colAgent'=colAgent-1)&(rowAgent'=rowAgent-1);
+ [Agent_move_West] viewAgent=2 & AgentIsOnSlipperyWest & AgentCannotSlipWest & !AgentCannotSlipSouthWest & !AgentCannotSlipNorthWest -> 0.000000: (colAgent'=colAgent-1)&(rowAgent'=rowAgent+1) + 0.000000: (colAgent'=colAgent-1)&(rowAgent'=rowAgent-1);
+ [Agent_move_West] viewAgent=2 & AgentIsOnSlipperyWest & !AgentCannotSlipWest & AgentCannotSlipSouthWest & !AgentCannotSlipNorthWest -> 0.950000: (colAgent'=colAgent-1) + 0.050000: (colAgent'=colAgent-1)&(rowAgent'=rowAgent-1);
+ [Agent_move_West] viewAgent=2 & AgentIsOnSlipperyWest & !AgentCannotSlipWest & !AgentCannotSlipSouthWest & AgentCannotSlipNorthWest -> 0.950000: (colAgent'=colAgent-1) + 0.050000: (colAgent'=colAgent-1)&(rowAgent'=rowAgent+1);
+ [Agent_move_West] viewAgent=2 & AgentIsOnSlipperyWest & AgentCannotSlipWest & AgentCannotSlipSouthWest & !AgentCannotSlipNorthWest -> 1.000000: (colAgent'=colAgent-1)&(rowAgent'=rowAgent-1);
+ [Agent_move_West] viewAgent=2 & AgentIsOnSlipperyWest & !AgentCannotSlipWest & AgentCannotSlipSouthWest & AgentCannotSlipNorthWest -> 1.000000: (colAgent'=colAgent-1);
+ [Agent_move_West] viewAgent=2 & AgentIsOnSlipperyWest & AgentCannotSlipWest & !AgentCannotSlipSouthWest & AgentCannotSlipNorthWest -> 1.000000: (colAgent'=colAgent-1)&(rowAgent'=rowAgent+1);
+ [Agent_move_West] viewAgent=2 & AgentIsOnSlipperyWest & AgentCannotSlipWest & AgentCannotSlipSouthWest & AgentCannotSlipNorthWest -> true;
+ [Agent_move_North] viewAgent=3 & AgentIsOnSlipperyWest & !AgentCannotSlipNorth & !AgentCannotSlipNorthWest -> 0.950000: (rowAgent'=rowAgent-1) + 0.050000: (colAgent'=colAgent-1)&(rowAgent'=rowAgent-1);
+ [Agent_move_North] viewAgent=3 & AgentIsOnSlipperyWest & AgentCannotSlipNorth & !AgentCannotSlipNorthWest -> 1.000000: (colAgent'=colAgent-1)&(rowAgent'=rowAgent-1);
+ [Agent_move_North] viewAgent=3 & AgentIsOnSlipperyWest & !AgentCannotSlipNorth & AgentCannotSlipNorthWest -> 1.000000: (rowAgent'=rowAgent-1);
+ [Agent_move_North] viewAgent=3 & AgentIsOnSlipperyWest & AgentCannotSlipNorth & AgentCannotSlipNorthWest -> true;
+ [Agent_move_South] viewAgent=1 & AgentIsOnSlipperyWest & !AgentCannotSlipSouth & !AgentCannotSlipSouthWest -> 0.950000: (rowAgent'=rowAgent+1) + 0.050000: (colAgent'=colAgent-1)&(rowAgent'=rowAgent+1);
+ [Agent_move_South] viewAgent=1 & AgentIsOnSlipperyWest & AgentCannotSlipSouth & !AgentCannotSlipSouthWest -> 1.000000: (colAgent'=colAgent-1)&(rowAgent'=rowAgent+1);
+ [Agent_move_South] viewAgent=1 & AgentIsOnSlipperyWest & !AgentCannotSlipSouth & AgentCannotSlipSouthWest -> 1.000000: (rowAgent'=rowAgent+1);
+ [Agent_move_South] viewAgent=1 & AgentIsOnSlipperyWest & AgentCannotSlipSouth & AgentCannotSlipSouthWest -> true;
+ [Agent_move_East] viewAgent=0 & AgentIsOnSlipperyWest & !AgentCannotSlipWest -> 0.950000: (colAgent'=colAgent-1) + 0.050000: true;
+ [Agent_move_East] viewAgent=0 & AgentIsOnSlipperyWest & AgentCannotSlipWest -> 1.000000: true;
+ [Agent_turn_right] AgentIsOnSlipperyWest & !AgentCannotSlipWest & true -> 0.950000: (viewAgent'=mod(viewAgent+1,4)) + 0.050000: (colAgent'=colAgent-1);
+ [Agent_turn_right] AgentIsOnSlipperyWest & AgentCannotSlipWest & true -> 1.000000: (viewAgent'=mod(viewAgent+1,4));
+ [Agent_turn_left] AgentIsOnSlipperyWest & !AgentCannotSlipWest & viewAgent>0 -> 0.950000: (viewAgent'=viewAgent-1) + 0.050000: (colAgent'=colAgent-1);
+ [Agent_turn_left] AgentIsOnSlipperyWest & !AgentCannotSlipWest & viewAgent=0 -> 0.950000: (viewAgent'=3) + 0.050000: (colAgent'=colAgent-1);
+ [Agent_turn_left] AgentIsOnSlipperyWest & AgentCannotSlipWest & viewAgent>0 -> 1.000000: (viewAgent'=viewAgent-1);
+ [Agent_turn_left] AgentIsOnSlipperyWest & AgentCannotSlipWest & viewAgent=0 -> 1.000000: (viewAgent'=3);
+ [Agent_move_East] viewAgent=0 & AgentIsOnSlipperyNorthEast & !AgentCannotSlipNorthEast & !AgentCannotSlipEast -> 0.950000: (colAgent'=colAgent+1) + 0.050000: (rowAgent'=rowAgent-1)&(colAgent'=colAgent+1);
+ [Agent_move_East] viewAgent=0 & AgentIsOnSlipperyNorthEast & !AgentCannotSlipNorthEast & AgentCannotSlipEast -> 1.000000: (rowAgent'=rowAgent-1)&(colAgent'=colAgent+1);
+ [Agent_move_East] viewAgent=0 & AgentIsOnSlipperyNorthEast & AgentCannotSlipNorthEast & !AgentCannotSlipEast -> 1.000000: (colAgent'=colAgent+1);
+ [Agent_move_East] viewAgent=0 & AgentIsOnSlipperyNorthEast & AgentCannotSlipNorthEast & AgentCannotSlipEast -> 1.000000: true;
+ [Agent_move_North] viewAgent=3 & AgentIsOnSlipperyNorthEast & !AgentCannotSlipNorthEast & !AgentCannotSlipNorth -> 0.950000: (rowAgent'=rowAgent-1) + 0.050000: (colAgent'=colAgent+1)&(rowAgent'=rowAgent-1);
+ [Agent_move_North] viewAgent=3 & AgentIsOnSlipperyNorthEast & !AgentCannotSlipNorthEast & AgentCannotSlipNorth -> 1.000000: (rowAgent'=rowAgent-1)&(colAgent'=colAgent+1);
+ [Agent_move_North] viewAgent=3 & AgentIsOnSlipperyNorthEast & AgentCannotSlipNorthEast & !AgentCannotSlipNorth -> 1.000000: (rowAgent'=rowAgent-1);
+ [Agent_move_North] viewAgent=3 & AgentIsOnSlipperyNorthEast & AgentCannotSlipNorthEast & AgentCannotSlipNorth -> 1.000000: true;
+ [Agent_move_South] viewAgent=1 & AgentIsOnSlipperyNorthEast & !AgentCannotSlipNorthEast & !AgentCannotSlipEast & !AgentCannotSlipSouthEast & !AgentCannotSlipSouth -> 0.950000: (rowAgent'=rowAgent+1) + 0.016667: (rowAgent'=rowAgent-1)&(colAgent'=colAgent+1) + 0.016667: (colAgent'=colAgent+1) + 0.016667: (rowAgent'=rowAgent+1)&(colAgent'=colAgent+1);
+ [Agent_move_South] viewAgent=1 & AgentIsOnSlipperyNorthEast & !AgentCannotSlipNorthEast & !AgentCannotSlipEast & !AgentCannotSlipSouthEast & AgentCannotSlipSouth -> 0.333333: (rowAgent'=rowAgent-1)&(colAgent'=colAgent+1) + 0.333333: (colAgent'=colAgent+1) + 0.333333: (rowAgent'=rowAgent+1)&(colAgent'=colAgent+1);
+ [Agent_move_South] viewAgent=1 & AgentIsOnSlipperyNorthEast & !AgentCannotSlipNorthEast & !AgentCannotSlipEast & AgentCannotSlipSouthEast & !AgentCannotSlipSouth -> 0.982759: (rowAgent'=rowAgent+1) + 0.050847: (rowAgent'=rowAgent-1)&(colAgent'=colAgent+1) + 0.050847: (colAgent'=colAgent+1);
+ [Agent_move_South] viewAgent=1 & AgentIsOnSlipperyNorthEast & !AgentCannotSlipNorthEast & !AgentCannotSlipEast & AgentCannotSlipSouthEast & AgentCannotSlipSouth -> 0.500000: (rowAgent'=rowAgent-1)&(colAgent'=colAgent+1) + 0.500000: (colAgent'=colAgent+1);
+ [Agent_move_South] viewAgent=1 & AgentIsOnSlipperyNorthEast & !AgentCannotSlipNorthEast & AgentCannotSlipEast & !AgentCannotSlipSouthEast & !AgentCannotSlipSouth -> 0.982759: (rowAgent'=rowAgent+1) + 0.050847: (rowAgent'=rowAgent-1)&(colAgent'=colAgent+1) + 0.050847: (rowAgent'=rowAgent+1)&(colAgent'=colAgent+1);
+ [Agent_move_South] viewAgent=1 & AgentIsOnSlipperyNorthEast & !AgentCannotSlipNorthEast & AgentCannotSlipEast & !AgentCannotSlipSouthEast & AgentCannotSlipSouth -> 0.500000: (rowAgent'=rowAgent-1)&(colAgent'=colAgent+1) + 0.500000: (rowAgent'=rowAgent+1)&(colAgent'=colAgent+1);
+ [Agent_move_South] viewAgent=1 & AgentIsOnSlipperyNorthEast & !AgentCannotSlipNorthEast & AgentCannotSlipEast & AgentCannotSlipSouthEast & !AgentCannotSlipSouth -> 0.982759: (rowAgent'=rowAgent+1) + 0.051724: (rowAgent'=rowAgent-1)&(colAgent'=colAgent+1);
+ [Agent_move_South] viewAgent=1 & AgentIsOnSlipperyNorthEast & !AgentCannotSlipNorthEast & AgentCannotSlipEast & AgentCannotSlipSouthEast & AgentCannotSlipSouth -> 1.000000: (rowAgent'=rowAgent-1)&(colAgent'=colAgent+1);
+ [Agent_move_South] viewAgent=1 & AgentIsOnSlipperyNorthEast & AgentCannotSlipNorthEast & !AgentCannotSlipEast & !AgentCannotSlipSouthEast & !AgentCannotSlipSouth -> 0.982759: (rowAgent'=rowAgent+1) + 0.050847: (colAgent'=colAgent+1) + 0.050847: (rowAgent'=rowAgent+1)&(colAgent'=colAgent+1);
+ [Agent_move_South] viewAgent=1 & AgentIsOnSlipperyNorthEast & AgentCannotSlipNorthEast & !AgentCannotSlipEast & !AgentCannotSlipSouthEast & AgentCannotSlipSouth -> 0.500000: (colAgent'=colAgent+1) + 0.500000: (rowAgent'=rowAgent+1)&(colAgent'=colAgent+1);
+ [Agent_move_South] viewAgent=1 & AgentIsOnSlipperyNorthEast & AgentCannotSlipNorthEast & !AgentCannotSlipEast & AgentCannotSlipSouthEast & !AgentCannotSlipSouth -> 0.982759: (rowAgent'=rowAgent+1) + 0.051724: (colAgent'=colAgent+1);
+ [Agent_move_South] viewAgent=1 & AgentIsOnSlipperyNorthEast & AgentCannotSlipNorthEast & !AgentCannotSlipEast & AgentCannotSlipSouthEast & AgentCannotSlipSouth -> 1.000000: (colAgent'=colAgent+1);
+ [Agent_move_South] viewAgent=1 & AgentIsOnSlipperyNorthEast & AgentCannotSlipNorthEast & AgentCannotSlipEast & !AgentCannotSlipSouthEast & !AgentCannotSlipSouth -> 0.982759: (rowAgent'=rowAgent+1) + 0.051724: (rowAgent'=rowAgent+1)&(colAgent'=colAgent+1);
+ [Agent_move_South] viewAgent=1 & AgentIsOnSlipperyNorthEast & AgentCannotSlipNorthEast & AgentCannotSlipEast & !AgentCannotSlipSouthEast & AgentCannotSlipSouth -> 1.000000: (rowAgent'=rowAgent+1)&(colAgent'=colAgent+1);
+ [Agent_move_South] viewAgent=1 & AgentIsOnSlipperyNorthEast & AgentCannotSlipNorthEast & AgentCannotSlipEast & AgentCannotSlipSouthEast & !AgentCannotSlipSouth -> 1.000000: (rowAgent'=rowAgent+1);
+ [Agent_move_South] viewAgent=1 & AgentIsOnSlipperyNorthEast & AgentCannotSlipNorthEast & AgentCannotSlipEast & AgentCannotSlipSouthEast & AgentCannotSlipSouth -> 1.000000: true;
+ [Agent_move_West] viewAgent=2 & AgentIsOnSlipperyNorthEast & !AgentCannotSlipWest & !AgentCannotSlipNorthWest & !AgentCannotSlipNorth & !AgentCannotSlipNorthEast -> 0.950000: (colAgent'=colAgent-1) + 0.016667: (rowAgent'=rowAgent-1)&(colAgent'=colAgent-1) + 0.016667: (rowAgent'=rowAgent-1) + 0.016667: (rowAgent'=rowAgent-1)&(colAgent'=colAgent+1);
+ [Agent_move_West] viewAgent=2 & AgentIsOnSlipperyNorthEast & !AgentCannotSlipWest & !AgentCannotSlipNorthWest & !AgentCannotSlipNorth & AgentCannotSlipNorthEast -> 0.966102: (colAgent'=colAgent-1) + 0.050847: (rowAgent'=rowAgent-1)&(colAgent'=colAgent-1) + 0.050847: (rowAgent'=rowAgent-1);
+ [Agent_move_West] viewAgent=2 & AgentIsOnSlipperyNorthEast & !AgentCannotSlipWest & !AgentCannotSlipNorthWest & AgentCannotSlipNorth & !AgentCannotSlipNorthEast -> 0.966102: (colAgent'=colAgent-1) + 0.050847: (rowAgent'=rowAgent-1)&(colAgent'=colAgent-1) + 0.050847: (rowAgent'=rowAgent-1)&(colAgent'=colAgent+1);
+ [Agent_move_West] viewAgent=2 & AgentIsOnSlipperyNorthEast & !AgentCannotSlipWest & !AgentCannotSlipNorthWest & AgentCannotSlipNorth & AgentCannotSlipNorthEast -> 0.982759: (colAgent'=colAgent-1) + 0.051724: (rowAgent'=rowAgent-1)&(colAgent'=colAgent-1);
+ [Agent_move_West] viewAgent=2 & AgentIsOnSlipperyNorthEast & !AgentCannotSlipWest & AgentCannotSlipNorthWest & !AgentCannotSlipNorth & !AgentCannotSlipNorthEast -> 0.966102: (colAgent'=colAgent-1) + 0.050847: (rowAgent'=rowAgent-1) + 0.050847: (rowAgent'=rowAgent-1)&(colAgent'=colAgent+1);
+ [Agent_move_West] viewAgent=2 & AgentIsOnSlipperyNorthEast & !AgentCannotSlipWest & AgentCannotSlipNorthWest & !AgentCannotSlipNorth & AgentCannotSlipNorthEast -> 0.982759: (colAgent'=colAgent-1) + 0.051724: (rowAgent'=rowAgent-1);
+ [Agent_move_West] viewAgent=2 & AgentIsOnSlipperyNorthEast & !AgentCannotSlipWest & AgentCannotSlipNorthWest & AgentCannotSlipNorth & !AgentCannotSlipNorthEast -> 0.982759: (colAgent'=colAgent-1) + 0.051724: (rowAgent'=rowAgent-1)&(colAgent'=colAgent+1);
+ [Agent_move_West] viewAgent=2 & AgentIsOnSlipperyNorthEast & !AgentCannotSlipWest & AgentCannotSlipNorthWest & AgentCannotSlipNorth & AgentCannotSlipNorthEast -> 1.000000: (colAgent'=colAgent-1);
+ [Agent_move_West] viewAgent=2 & AgentIsOnSlipperyNorthEast & AgentCannotSlipWest & !AgentCannotSlipNorthWest & !AgentCannotSlipNorth & !AgentCannotSlipNorthEast -> 0.333333: (rowAgent'=rowAgent-1)&(colAgent'=colAgent-1) + 0.333333: (rowAgent'=rowAgent-1) + 0.333333: (rowAgent'=rowAgent-1)&(colAgent'=colAgent+1);
+ [Agent_move_West] viewAgent=2 & AgentIsOnSlipperyNorthEast & AgentCannotSlipWest & !AgentCannotSlipNorthWest & !AgentCannotSlipNorth & AgentCannotSlipNorthEast -> 0.500000: (rowAgent'=rowAgent-1)&(colAgent'=colAgent-1) + 0.500000: (rowAgent'=rowAgent-1);
+ [Agent_move_West] viewAgent=2 & AgentIsOnSlipperyNorthEast & AgentCannotSlipWest & !AgentCannotSlipNorthWest & AgentCannotSlipNorth & !AgentCannotSlipNorthEast -> 0.500000: (rowAgent'=rowAgent-1)&(colAgent'=colAgent-1) + 0.500000: (rowAgent'=rowAgent-1)&(colAgent'=colAgent+1);
+ [Agent_move_West] viewAgent=2 & AgentIsOnSlipperyNorthEast & AgentCannotSlipWest & !AgentCannotSlipNorthWest & AgentCannotSlipNorth & AgentCannotSlipNorthEast -> 1.000000: (rowAgent'=rowAgent-1)&(colAgent'=colAgent-1);
+ [Agent_move_West] viewAgent=2 & AgentIsOnSlipperyNorthEast & AgentCannotSlipWest & AgentCannotSlipNorthWest & !AgentCannotSlipNorth & !AgentCannotSlipNorthEast -> 0.500000: (rowAgent'=rowAgent-1) + 0.500000: (rowAgent'=rowAgent-1)&(colAgent'=colAgent+1);
+ [Agent_move_West] viewAgent=2 & AgentIsOnSlipperyNorthEast & AgentCannotSlipWest & AgentCannotSlipNorthWest & !AgentCannotSlipNorth & AgentCannotSlipNorthEast -> 1.000000: (rowAgent'=rowAgent-1);
+ [Agent_move_West] viewAgent=2 & AgentIsOnSlipperyNorthEast & AgentCannotSlipWest & AgentCannotSlipNorthWest & AgentCannotSlipNorth & !AgentCannotSlipNorthEast -> 1.000000: (rowAgent'=rowAgent-1)&(colAgent'=colAgent+1);
+ [Agent_move_West] viewAgent=2 & AgentIsOnSlipperyNorthEast & AgentCannotSlipWest & AgentCannotSlipNorthWest & AgentCannotSlipNorth & AgentCannotSlipNorthEast -> 1.000000: true;
+ [Agent_turn_right] AgentIsOnSlipperyNorthEast & true & true -> 1.000000: (viewAgent'=mod(viewAgent+1,4));
+ [Agent_turn_left] AgentIsOnSlipperyNorthEast & true & viewAgent>0 -> 1.000000: (viewAgent'=viewAgent-1);
+ [Agent_turn_left] AgentIsOnSlipperyNorthEast & true & viewAgent=0 -> 1.000000: (viewAgent'=3);
+endmodule
+
diff --git a/notebooks/shielding_files_20241129T122427_qaabh7px/grid.txt b/notebooks/shielding_files_20241129T122427_qaabh7px/grid.txt
new file mode 100644
index 0000000..4ec3fad
--- /dev/null
+++ b/notebooks/shielding_files_20241129T122427_qaabh7px/grid.txt
@@ -0,0 +1,49 @@
+WGWGWGWGWGWGWGWGWGWGWGWGWGWGWGWGWGWGWGWGWGWGWGWGWGWGWG
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+------------------------------------------------------
+WGWGWGWGWGWGWGWGWGWGWGWGWGWGWGWGWGWGWGWGWGWGWGWGWGWGWG
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+------------------------------------------------------
+------------------------------------------------------
+ProbTurnIntended:0.95
+ProbForwardIntended:0.95
diff --git a/notebooks/shielding_files_20241129T122427_qaabh7px/shield b/notebooks/shielding_files_20241129T122427_qaabh7px/shield
new file mode 100644
index 0000000..4c411ff
--- /dev/null
+++ b/notebooks/shielding_files_20241129T122427_qaabh7px/shield
@@ -0,0 +1,1580 @@
+___________________________________________________________________
+Pre-Safety-Shield with absolute comparison (gamma = 0.950000):
+ model state: choice(s) [<value>: (<action {action label})>]:
+ 0: [colAgent=1 & rowAgent=1 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1: [colAgent=2 & rowAgent=1 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 2: [colAgent=3 & rowAgent=1 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
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+ 1902: [colAgent=12 & rowAgent=1 & viewAgent=2] 1: (0 {Agent_move_West}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1903: [colAgent=13 & rowAgent=1 & viewAgent=2] 1: (0 {Agent_move_West}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1904: [colAgent=14 & rowAgent=1 & viewAgent=2] 1: (0 {Agent_move_West}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1905: [colAgent=15 & rowAgent=1 & viewAgent=2] 1: (0 {Agent_move_West}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1907: [colAgent=20 & rowAgent=1 & viewAgent=2] 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1908: [colAgent=21 & rowAgent=1 & viewAgent=2] 1: (0 {Agent_move_West}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1909: [colAgent=22 & rowAgent=1 & viewAgent=2] 1: (0 {Agent_move_West}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1910: [colAgent=23 & rowAgent=1 & viewAgent=2] 1: (0 {Agent_move_West}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1911: [colAgent=24 & rowAgent=1 & viewAgent=2] 1: (0 {Agent_move_West}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1912: [colAgent=25 & rowAgent=1 & viewAgent=2] 1: (0 {Agent_move_West}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1913: [colAgent=1 & rowAgent=3 & viewAgent=2] 1: (0 {Agent_move_West}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1914: [colAgent=1 & rowAgent=4 & viewAgent=2] 1: (0 {Agent_move_West}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1915: [colAgent=1 & rowAgent=5 & viewAgent=2] 1: (0 {Agent_move_West}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1916: [colAgent=1 & rowAgent=6 & viewAgent=2] 1: (0 {Agent_move_West}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1917: [colAgent=1 & rowAgent=11 & viewAgent=2] 1: (0 {Agent_move_West}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1918: [colAgent=1 & rowAgent=10 & viewAgent=2] 1: (0 {Agent_move_West}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1919: [colAgent=1 & rowAgent=12 & viewAgent=2] 1: (0 {Agent_move_West}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1920: [colAgent=1 & rowAgent=13 & viewAgent=2] 1: (0 {Agent_move_West}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1921: [colAgent=1 & rowAgent=14 & viewAgent=2] 1: (0 {Agent_move_West}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1922: [colAgent=1 & rowAgent=15 & viewAgent=2] 1: (0 {Agent_move_West}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1923: [colAgent=1 & rowAgent=16 & viewAgent=2] 1: (0 {Agent_move_West}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1926: [colAgent=1 & rowAgent=2 & viewAgent=1] 1: (0 {Agent_move_South}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1927: [colAgent=11 & rowAgent=1 & viewAgent=2] 1: (0 {Agent_move_West}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1928: [colAgent=1 & rowAgent=2 & viewAgent=3] 1: (0 {Agent_move_North}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1929: [colAgent=1 & rowAgent=3 & viewAgent=3] 1: (0 {Agent_move_North}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1930: [colAgent=1 & rowAgent=3 & viewAgent=1] 1: (0 {Agent_move_South}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1931: [colAgent=1 & rowAgent=4 & viewAgent=3] 1: (0 {Agent_move_North}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1932: [colAgent=1 & rowAgent=4 & viewAgent=1] 1: (0 {Agent_move_South}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1933: [colAgent=1 & rowAgent=5 & viewAgent=3] 1: (0 {Agent_move_North}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1934: [colAgent=1 & rowAgent=5 & viewAgent=1] 1: (0 {Agent_move_South}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1935: [colAgent=1 & rowAgent=6 & viewAgent=3] 1: (0 {Agent_move_North}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1936: [colAgent=1 & rowAgent=6 & viewAgent=1] 1: (0 {Agent_move_South}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1937: [colAgent=1 & rowAgent=11 & viewAgent=3] 1: (0 {Agent_move_North}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1938: [colAgent=1 & rowAgent=11 & viewAgent=1] 1: (0 {Agent_move_South}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1939: [colAgent=1 & rowAgent=10 & viewAgent=3] 1: (0 {Agent_move_North}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1940: [colAgent=1 & rowAgent=10 & viewAgent=1] 1: (0 {Agent_move_South}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1941: [colAgent=1 & rowAgent=12 & viewAgent=3] 1: (0 {Agent_move_North}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1942: [colAgent=1 & rowAgent=12 & viewAgent=1] 1: (0 {Agent_move_South}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1943: [colAgent=1 & rowAgent=13 & viewAgent=3] 1: (0 {Agent_move_North}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1944: [colAgent=1 & rowAgent=13 & viewAgent=1] 1: (0 {Agent_move_South}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1945: [colAgent=1 & rowAgent=14 & viewAgent=3] 1: (0 {Agent_move_North}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1946: [colAgent=1 & rowAgent=14 & viewAgent=1] 1: (0 {Agent_move_South}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1947: [colAgent=1 & rowAgent=15 & viewAgent=3] 1: (0 {Agent_move_North}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1948: [colAgent=1 & rowAgent=15 & viewAgent=1] 1: (0 {Agent_move_South}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1949: [colAgent=1 & rowAgent=16 & viewAgent=3] 1: (0 {Agent_move_North}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1950: [colAgent=1 & rowAgent=16 & viewAgent=1] 1: (0 {Agent_move_South}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1951: [colAgent=1 & rowAgent=2 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1952: [colAgent=1 & rowAgent=3 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1953: [colAgent=1 & rowAgent=4 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1954: [colAgent=1 & rowAgent=5 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1955: [colAgent=1 & rowAgent=6 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1956: [colAgent=1 & rowAgent=7 & viewAgent=1] 1: (0 {Agent_move_South}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1957: [colAgent=1 & rowAgent=11 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1958: [colAgent=1 & rowAgent=9 & viewAgent=3] 1: (0 {Agent_move_North}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1959: [colAgent=1 & rowAgent=10 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1960: [colAgent=1 & rowAgent=12 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1961: [colAgent=1 & rowAgent=13 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1962: [colAgent=1 & rowAgent=14 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1963: [colAgent=1 & rowAgent=15 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1964: [colAgent=1 & rowAgent=16 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1965: [colAgent=1 & rowAgent=17 & viewAgent=1] 1: (0 {Agent_move_South}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1966: [colAgent=1 & rowAgent=8 & viewAgent=1] 1: (0 {Agent_move_South}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1967: [colAgent=1 & rowAgent=7 & viewAgent=2] 1: (0 {Agent_move_West}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1968: [colAgent=1 & rowAgent=7 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1969: [colAgent=1 & rowAgent=8 & viewAgent=3] 1: (0 {Agent_move_North}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1970: [colAgent=1 & rowAgent=9 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1971: [colAgent=1 & rowAgent=9 & viewAgent=2] 1: (0 {Agent_move_West}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1972: [colAgent=1 & rowAgent=18 & viewAgent=1] 1: (0 {Agent_move_South}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1973: [colAgent=1 & rowAgent=17 & viewAgent=2] 1: (0 {Agent_move_West}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1974: [colAgent=1 & rowAgent=17 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1975: [colAgent=1 & rowAgent=9 & viewAgent=1] 1: (0 {Agent_move_South}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1976: [colAgent=1 & rowAgent=8 & viewAgent=2] 1: (0 {Agent_move_West}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1977: [colAgent=1 & rowAgent=8 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1978: [colAgent=1 & rowAgent=7 & viewAgent=3] 1: (0 {Agent_move_North}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1979: [colAgent=1 & rowAgent=19 & viewAgent=1] 1: (0 {Agent_move_South}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1980: [colAgent=1 & rowAgent=18 & viewAgent=2] 1: (0 {Agent_move_West}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1981: [colAgent=1 & rowAgent=18 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1982: [colAgent=1 & rowAgent=17 & viewAgent=3] 1: (0 {Agent_move_North}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1983: [colAgent=1 & rowAgent=20 & viewAgent=1] 1: (0 {Agent_move_South}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1984: [colAgent=1 & rowAgent=19 & viewAgent=2] 1: (0 {Agent_move_West}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1985: [colAgent=1 & rowAgent=19 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1986: [colAgent=1 & rowAgent=18 & viewAgent=3] 1: (0 {Agent_move_North}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1987: [colAgent=1 & rowAgent=20 & viewAgent=2] 1: (0 {Agent_move_West}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1988: [colAgent=1 & rowAgent=20 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1989: [colAgent=1 & rowAgent=19 & viewAgent=3] 1: (0 {Agent_move_North}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1990: [colAgent=1 & rowAgent=20 & viewAgent=3] 1: (0 {Agent_move_North}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+___________________________________________________________________
diff --git a/notebooks/shielding_files_20241129T122429_qyepifjg/grid.prism b/notebooks/shielding_files_20241129T122429_qyepifjg/grid.prism
new file mode 100644
index 0000000..d25aadb
--- /dev/null
+++ b/notebooks/shielding_files_20241129T122429_qyepifjg/grid.prism
@@ -0,0 +1,183 @@
+mdp
+
+formula AgentCannotMoveEastWall = (colAgent=25&rowAgent=10) | (colAgent=25&rowAgent=14) | (colAgent=25&rowAgent=15) | (colAgent=25&rowAgent=16) | (colAgent=25&rowAgent=17);
+formula AgentCannotMoveNorthWall = (colAgent=16&rowAgent=1) | (colAgent=17&rowAgent=1) | (colAgent=18&rowAgent=1) | (colAgent=19&rowAgent=1);
+formula AgentCannotMoveSouthWall = false;
+formula AgentCannotMoveWestWall = false;
+formula AgentIsOnSlipperyEast = (colAgent=10&rowAgent=2) | (colAgent=11&rowAgent=2) | (colAgent=12&rowAgent=2) | (colAgent=16&rowAgent=3) | (colAgent=17&rowAgent=3) | (colAgent=18&rowAgent=3) | (colAgent=19&rowAgent=3) | (colAgent=16&rowAgent=6) | (colAgent=17&rowAgent=6) | (colAgent=18&rowAgent=6) | (colAgent=19&rowAgent=6) | (colAgent=20&rowAgent=6) | (colAgent=21&rowAgent=6) | (colAgent=22&rowAgent=6) | (colAgent=1&rowAgent=7) | (colAgent=2&rowAgent=7) | (colAgent=3&rowAgent=7) | (colAgent=4&rowAgent=7) | (colAgent=5&rowAgent=7) | (colAgent=6&rowAgent=7) | (colAgent=7&rowAgent=7) | (colAgent=8&rowAgent=7) | (colAgent=9&rowAgent=7) | (colAgent=10&rowAgent=7) | (colAgent=11&rowAgent=7) | (colAgent=1&rowAgent=8) | (colAgent=2&rowAgent=8) | (colAgent=3&rowAgent=8) | (colAgent=4&rowAgent=8) | (colAgent=5&rowAgent=8) | (colAgent=6&rowAgent=8) | (colAgent=7&rowAgent=8) | (colAgent=8&rowAgent=8) | (colAgent=1&rowAgent=9) | (colAgent=2&rowAgent=9) | (colAgent=3&rowAgent=9) | (colAgent=4&rowAgent=9) | (colAgent=5&rowAgent=9) | (colAgent=6&rowAgent=9) | (colAgent=7&rowAgent=9) | (colAgent=8&rowAgent=9) | (colAgent=1&rowAgent=10) | (colAgent=2&rowAgent=10) | (colAgent=3&rowAgent=10) | (colAgent=4&rowAgent=10) | (colAgent=5&rowAgent=10) | (colAgent=6&rowAgent=10) | (colAgent=7&rowAgent=10) | (colAgent=16&rowAgent=12) | (colAgent=17&rowAgent=12) | (colAgent=18&rowAgent=12) | (colAgent=19&rowAgent=12) | (colAgent=20&rowAgent=12) | (colAgent=21&rowAgent=12) | (colAgent=22&rowAgent=13) | (colAgent=23&rowAgent=13) | (colAgent=24&rowAgent=13) | (colAgent=25&rowAgent=13) | (colAgent=1&rowAgent=17) | (colAgent=2&rowAgent=17) | (colAgent=3&rowAgent=17) | (colAgent=4&rowAgent=17) | (colAgent=5&rowAgent=17) | (colAgent=6&rowAgent=17) | (colAgent=7&rowAgent=17) | (colAgent=8&rowAgent=17) | (colAgent=9&rowAgent=17) | (colAgent=10&rowAgent=17) | (colAgent=11&rowAgent=17) | (colAgent=12&rowAgent=17) | (colAgent=13&rowAgent=17) | (colAgent=14&rowAgent=17) | (colAgent=15&rowAgent=17) | (colAgent=1&rowAgent=18) | (colAgent=2&rowAgent=18) | (colAgent=3&rowAgent=18) | (colAgent=4&rowAgent=18) | (colAgent=5&rowAgent=18) | (colAgent=6&rowAgent=18) | (colAgent=7&rowAgent=18) | (colAgent=8&rowAgent=18) | (colAgent=9&rowAgent=18) | (colAgent=10&rowAgent=18) | (colAgent=11&rowAgent=18) | (colAgent=12&rowAgent=18) | (colAgent=13&rowAgent=18) | (colAgent=14&rowAgent=18) | (colAgent=15&rowAgent=18) | (colAgent=16&rowAgent=18) | (colAgent=22&rowAgent=18) | (colAgent=23&rowAgent=18) | (colAgent=24&rowAgent=18) | (colAgent=25&rowAgent=18) | (colAgent=1&rowAgent=19) | (colAgent=2&rowAgent=19) | (colAgent=3&rowAgent=19) | (colAgent=4&rowAgent=19) | (colAgent=5&rowAgent=19) | (colAgent=6&rowAgent=19) | (colAgent=7&rowAgent=19) | (colAgent=8&rowAgent=19) | (colAgent=9&rowAgent=19) | (colAgent=10&rowAgent=19) | (colAgent=11&rowAgent=19) | (colAgent=12&rowAgent=19) | (colAgent=13&rowAgent=19) | (colAgent=14&rowAgent=19) | (colAgent=15&rowAgent=19) | (colAgent=16&rowAgent=19) | (colAgent=17&rowAgent=19) | (colAgent=1&rowAgent=20) | (colAgent=2&rowAgent=20) | (colAgent=3&rowAgent=20) | (colAgent=4&rowAgent=20) | (colAgent=5&rowAgent=20) | (colAgent=6&rowAgent=20) | (colAgent=7&rowAgent=20) | (colAgent=8&rowAgent=20) | (colAgent=9&rowAgent=20) | (colAgent=10&rowAgent=20) | (colAgent=11&rowAgent=20) | (colAgent=12&rowAgent=20) | (colAgent=13&rowAgent=20) | (colAgent=14&rowAgent=20) | (colAgent=15&rowAgent=20) | (colAgent=16&rowAgent=20) | (colAgent=17&rowAgent=20) | (colAgent=18&rowAgent=20);
+formula AgentIsOnSlipperyNorth = (colAgent=15&rowAgent=1) | (colAgent=20&rowAgent=1) | (colAgent=15&rowAgent=2) | (colAgent=20&rowAgent=2) | (colAgent=13&rowAgent=3) | (colAgent=13&rowAgent=4) | (colAgent=13&rowAgent=5) | (colAgent=13&rowAgent=6) | (colAgent=15&rowAgent=7) | (colAgent=24&rowAgent=7) | (colAgent=15&rowAgent=8) | (colAgent=24&rowAgent=8) | (colAgent=15&rowAgent=9) | (colAgent=24&rowAgent=9) | (colAgent=15&rowAgent=10) | (colAgent=24&rowAgent=10) | (colAgent=13&rowAgent=11) | (colAgent=15&rowAgent=11) | (colAgent=24&rowAgent=11) | (colAgent=13&rowAgent=12) | (colAgent=13&rowAgent=13) | (colAgent=13&rowAgent=14) | (colAgent=21&rowAgent=14) | (colAgent=13&rowAgent=15) | (colAgent=21&rowAgent=15) | (colAgent=13&rowAgent=16) | (colAgent=21&rowAgent=16) | (colAgent=21&rowAgent=17);
+formula AgentIsOnSlipperyNorthEast = (colAgent=1&rowAgent=1) | (colAgent=2&rowAgent=1) | (colAgent=3&rowAgent=1) | (colAgent=4&rowAgent=1) | (colAgent=5&rowAgent=1) | (colAgent=6&rowAgent=1) | (colAgent=7&rowAgent=1) | (colAgent=8&rowAgent=1) | (colAgent=9&rowAgent=1) | (colAgent=10&rowAgent=1) | (colAgent=11&rowAgent=1) | (colAgent=12&rowAgent=1) | (colAgent=13&rowAgent=1) | (colAgent=14&rowAgent=1) | (colAgent=21&rowAgent=1) | (colAgent=22&rowAgent=1) | (colAgent=23&rowAgent=1) | (colAgent=24&rowAgent=1) | (colAgent=25&rowAgent=1) | (colAgent=1&rowAgent=2) | (colAgent=2&rowAgent=2) | (colAgent=3&rowAgent=2) | (colAgent=4&rowAgent=2) | (colAgent=5&rowAgent=2) | (colAgent=6&rowAgent=2) | (colAgent=7&rowAgent=2) | (colAgent=8&rowAgent=2) | (colAgent=9&rowAgent=2) | (colAgent=13&rowAgent=2) | (colAgent=14&rowAgent=2) | (colAgent=21&rowAgent=2) | (colAgent=22&rowAgent=2) | (colAgent=23&rowAgent=2) | (colAgent=24&rowAgent=2) | (colAgent=25&rowAgent=2) | (colAgent=1&rowAgent=3) | (colAgent=2&rowAgent=3) | (colAgent=3&rowAgent=3) | (colAgent=4&rowAgent=3) | (colAgent=5&rowAgent=3) | (colAgent=6&rowAgent=3) | (colAgent=7&rowAgent=3) | (colAgent=8&rowAgent=3) | (colAgent=9&rowAgent=3) | (colAgent=14&rowAgent=3) | (colAgent=15&rowAgent=3) | (colAgent=20&rowAgent=3) | (colAgent=21&rowAgent=3) | (colAgent=22&rowAgent=3) | (colAgent=23&rowAgent=3) | (colAgent=24&rowAgent=3) | (colAgent=25&rowAgent=3) | (colAgent=1&rowAgent=4) | (colAgent=2&rowAgent=4) | (colAgent=3&rowAgent=4) | (colAgent=4&rowAgent=4) | (colAgent=5&rowAgent=4) | (colAgent=6&rowAgent=4) | (colAgent=7&rowAgent=4) | (colAgent=8&rowAgent=4) | (colAgent=9&rowAgent=4) | (colAgent=14&rowAgent=4) | (colAgent=15&rowAgent=4) | (colAgent=16&rowAgent=4) | (colAgent=17&rowAgent=4) | (colAgent=18&rowAgent=4) | (colAgent=19&rowAgent=4) | (colAgent=20&rowAgent=4) | (colAgent=21&rowAgent=4) | (colAgent=22&rowAgent=4) | (colAgent=23&rowAgent=4) | (colAgent=24&rowAgent=4) | (colAgent=25&rowAgent=4) | (colAgent=1&rowAgent=5) | (colAgent=2&rowAgent=5) | (colAgent=3&rowAgent=5) | (colAgent=4&rowAgent=5) | (colAgent=5&rowAgent=5) | (colAgent=6&rowAgent=5) | (colAgent=7&rowAgent=5) | (colAgent=8&rowAgent=5) | (colAgent=9&rowAgent=5) | (colAgent=14&rowAgent=5) | (colAgent=15&rowAgent=5) | (colAgent=16&rowAgent=5) | (colAgent=17&rowAgent=5) | (colAgent=18&rowAgent=5) | (colAgent=19&rowAgent=5) | (colAgent=20&rowAgent=5) | (colAgent=21&rowAgent=5) | (colAgent=22&rowAgent=5) | (colAgent=23&rowAgent=5) | (colAgent=24&rowAgent=5) | (colAgent=25&rowAgent=5) | (colAgent=1&rowAgent=6) | (colAgent=2&rowAgent=6) | (colAgent=3&rowAgent=6) | (colAgent=4&rowAgent=6) | (colAgent=5&rowAgent=6) | (colAgent=6&rowAgent=6) | (colAgent=7&rowAgent=6) | (colAgent=8&rowAgent=6) | (colAgent=9&rowAgent=6) | (colAgent=14&rowAgent=6) | (colAgent=15&rowAgent=6) | (colAgent=23&rowAgent=6) | (colAgent=24&rowAgent=6) | (colAgent=25&rowAgent=6) | (colAgent=13&rowAgent=7) | (colAgent=14&rowAgent=7) | (colAgent=25&rowAgent=7) | (colAgent=9&rowAgent=8) | (colAgent=10&rowAgent=8) | (colAgent=11&rowAgent=8) | (colAgent=13&rowAgent=8) | (colAgent=14&rowAgent=8) | (colAgent=25&rowAgent=8) | (colAgent=9&rowAgent=9) | (colAgent=13&rowAgent=9) | (colAgent=14&rowAgent=9) | (colAgent=25&rowAgent=9) | (colAgent=8&rowAgent=10) | (colAgent=13&rowAgent=10) | (colAgent=14&rowAgent=10) | (colAgent=1&rowAgent=11) | (colAgent=2&rowAgent=11) | (colAgent=3&rowAgent=11) | (colAgent=4&rowAgent=11) | (colAgent=5&rowAgent=11) | (colAgent=6&rowAgent=11) | (colAgent=7&rowAgent=11) | (colAgent=14&rowAgent=11) | (colAgent=25&rowAgent=11) | (colAgent=1&rowAgent=12) | (colAgent=2&rowAgent=12) | (colAgent=3&rowAgent=12) | (colAgent=4&rowAgent=12) | (colAgent=5&rowAgent=12) | (colAgent=6&rowAgent=12) | (colAgent=7&rowAgent=12) | (colAgent=14&rowAgent=12) | (colAgent=15&rowAgent=12) | (colAgent=22&rowAgent=12) | (colAgent=23&rowAgent=12) | (colAgent=24&rowAgent=12) | (colAgent=25&rowAgent=12) | (colAgent=1&rowAgent=13) | (colAgent=2&rowAgent=13) | (colAgent=3&rowAgent=13) | (colAgent=4&rowAgent=13) | (colAgent=5&rowAgent=13) | (colAgent=6&rowAgent=13) | (colAgent=7&rowAgent=13) | (colAgent=14&rowAgent=13) | (colAgent=15&rowAgent=13) | (colAgent=16&rowAgent=13) | (colAgent=17&rowAgent=13) | (colAgent=18&rowAgent=13) | (colAgent=19&rowAgent=13) | (colAgent=20&rowAgent=13) | (colAgent=21&rowAgent=13) | (colAgent=1&rowAgent=14) | (colAgent=2&rowAgent=14) | (colAgent=3&rowAgent=14) | (colAgent=4&rowAgent=14) | (colAgent=5&rowAgent=14) | (colAgent=6&rowAgent=14) | (colAgent=7&rowAgent=14) | (colAgent=14&rowAgent=14) | (colAgent=15&rowAgent=14) | (colAgent=16&rowAgent=14) | (colAgent=17&rowAgent=14) | (colAgent=18&rowAgent=14) | (colAgent=19&rowAgent=14) | (colAgent=20&rowAgent=14) | (colAgent=1&rowAgent=15) | (colAgent=2&rowAgent=15) | (colAgent=3&rowAgent=15) | (colAgent=4&rowAgent=15) | (colAgent=5&rowAgent=15) | (colAgent=6&rowAgent=15) | (colAgent=7&rowAgent=15) | (colAgent=14&rowAgent=15) | (colAgent=15&rowAgent=15) | (colAgent=16&rowAgent=15) | (colAgent=17&rowAgent=15) | (colAgent=18&rowAgent=15) | (colAgent=19&rowAgent=15) | (colAgent=20&rowAgent=15) | (colAgent=1&rowAgent=16) | (colAgent=2&rowAgent=16) | (colAgent=3&rowAgent=16) | (colAgent=4&rowAgent=16) | (colAgent=5&rowAgent=16) | (colAgent=6&rowAgent=16) | (colAgent=7&rowAgent=16) | (colAgent=14&rowAgent=16) | (colAgent=15&rowAgent=16) | (colAgent=16&rowAgent=16) | (colAgent=17&rowAgent=16) | (colAgent=18&rowAgent=16) | (colAgent=19&rowAgent=16) | (colAgent=20&rowAgent=16) | (colAgent=16&rowAgent=17) | (colAgent=17&rowAgent=17) | (colAgent=18&rowAgent=17) | (colAgent=19&rowAgent=17) | (colAgent=20&rowAgent=17) | (colAgent=17&rowAgent=18) | (colAgent=18&rowAgent=18) | (colAgent=19&rowAgent=18) | (colAgent=20&rowAgent=18) | (colAgent=21&rowAgent=18) | (colAgent=18&rowAgent=19) | (colAgent=19&rowAgent=19) | (colAgent=20&rowAgent=19) | (colAgent=21&rowAgent=19) | (colAgent=22&rowAgent=19) | (colAgent=23&rowAgent=19) | (colAgent=24&rowAgent=19) | (colAgent=25&rowAgent=19) | (colAgent=19&rowAgent=20) | (colAgent=20&rowAgent=20) | (colAgent=21&rowAgent=20) | (colAgent=22&rowAgent=20) | (colAgent=23&rowAgent=20) | (colAgent=24&rowAgent=20) | (colAgent=25&rowAgent=20);
+formula AgentIsOnSlipperyNorthWest = false;
+formula AgentIsOnSlipperySouth = (colAgent=12&rowAgent=7) | (colAgent=12&rowAgent=8) | (colAgent=12&rowAgent=9) | (colAgent=12&rowAgent=10);
+formula AgentIsOnSlipperySouthEast = false;
+formula AgentIsOnSlipperySouthWest = false;
+formula AgentIsOnSlipperyWest = (colAgent=10&rowAgent=9) | (colAgent=11&rowAgent=9) | (colAgent=9&rowAgent=10) | (colAgent=10&rowAgent=10) | (colAgent=11&rowAgent=10);
+formula AgentIsOnSlippery = AgentIsOnSlipperyEast | AgentIsOnSlipperyNorth | AgentIsOnSlipperyNorthEast | AgentIsOnSlipperyNorthWest | AgentIsOnSlipperySouth | AgentIsOnSlipperySouthEast | AgentIsOnSlipperySouthWest | AgentIsOnSlipperyWest;
+formula AgentCannotSlipEast = (colAgent+1=0&rowAgent=0) | (colAgent+1=1&rowAgent=0) | (colAgent+1=2&rowAgent=0) | (colAgent+1=3&rowAgent=0) | (colAgent+1=4&rowAgent=0) | (colAgent+1=5&rowAgent=0) | (colAgent+1=6&rowAgent=0) | (colAgent+1=7&rowAgent=0) | (colAgent+1=8&rowAgent=0) | (colAgent+1=9&rowAgent=0) | (colAgent+1=10&rowAgent=0) | (colAgent+1=11&rowAgent=0) | (colAgent+1=12&rowAgent=0) | (colAgent+1=13&rowAgent=0) | (colAgent+1=14&rowAgent=0) | (colAgent+1=15&rowAgent=0) | (colAgent+1=16&rowAgent=0) | (colAgent+1=17&rowAgent=0) | (colAgent+1=18&rowAgent=0) | (colAgent+1=19&rowAgent=0) | (colAgent+1=20&rowAgent=0) | (colAgent+1=21&rowAgent=0) | (colAgent+1=22&rowAgent=0) | (colAgent+1=23&rowAgent=0) | (colAgent+1=24&rowAgent=0) | (colAgent+1=25&rowAgent=0) | (colAgent+1=26&rowAgent=0) | (colAgent+1=0&rowAgent=1) | (colAgent+1=26&rowAgent=1) | (colAgent+1=0&rowAgent=2) | (colAgent+1=26&rowAgent=2) | (colAgent+1=0&rowAgent=3) | (colAgent+1=26&rowAgent=3) | (colAgent+1=0&rowAgent=4) | (colAgent+1=26&rowAgent=4) | (colAgent+1=0&rowAgent=5) | (colAgent+1=26&rowAgent=5) | (colAgent+1=0&rowAgent=6) | (colAgent+1=26&rowAgent=6) | (colAgent+1=0&rowAgent=7) | (colAgent+1=26&rowAgent=7) | (colAgent+1=0&rowAgent=8) | (colAgent+1=26&rowAgent=8) | (colAgent+1=0&rowAgent=9) | (colAgent+1=26&rowAgent=9) | (colAgent+1=0&rowAgent=10) | (colAgent+1=26&rowAgent=10) | (colAgent+1=0&rowAgent=11) | (colAgent+1=26&rowAgent=11) | (colAgent+1=0&rowAgent=12) | (colAgent+1=26&rowAgent=12) | (colAgent+1=0&rowAgent=13) | (colAgent+1=26&rowAgent=13) | (colAgent+1=0&rowAgent=14) | (colAgent+1=26&rowAgent=14) | (colAgent+1=0&rowAgent=15) | (colAgent+1=26&rowAgent=15) | (colAgent+1=0&rowAgent=16) | (colAgent+1=26&rowAgent=16) | (colAgent+1=0&rowAgent=17) | (colAgent+1=26&rowAgent=17) | (colAgent+1=0&rowAgent=18) | (colAgent+1=26&rowAgent=18) | (colAgent+1=0&rowAgent=19) | (colAgent+1=26&rowAgent=19) | (colAgent+1=0&rowAgent=20) | (colAgent+1=26&rowAgent=20) | (colAgent+1=0&rowAgent=21) | (colAgent+1=1&rowAgent=21) | (colAgent+1=2&rowAgent=21) | (colAgent+1=3&rowAgent=21) | (colAgent+1=4&rowAgent=21) | (colAgent+1=5&rowAgent=21) | (colAgent+1=6&rowAgent=21) | (colAgent+1=7&rowAgent=21) | (colAgent+1=8&rowAgent=21) | (colAgent+1=9&rowAgent=21) | (colAgent+1=10&rowAgent=21) | (colAgent+1=11&rowAgent=21) | (colAgent+1=12&rowAgent=21) | (colAgent+1=13&rowAgent=21) | (colAgent+1=14&rowAgent=21) | (colAgent+1=15&rowAgent=21) | (colAgent+1=16&rowAgent=21) | (colAgent+1=17&rowAgent=21) | (colAgent+1=18&rowAgent=21) | (colAgent+1=19&rowAgent=21) | (colAgent+1=20&rowAgent=21) | (colAgent+1=21&rowAgent=21) | (colAgent+1=22&rowAgent=21) | (colAgent+1=23&rowAgent=21) | (colAgent+1=24&rowAgent=21) | (colAgent+1=25&rowAgent=21) | (colAgent+1=26&rowAgent=21);
+formula AgentCannotSlipNorth = (colAgent=0&rowAgent-1=0) | (colAgent=1&rowAgent-1=0) | (colAgent=2&rowAgent-1=0) | (colAgent=3&rowAgent-1=0) | (colAgent=4&rowAgent-1=0) | (colAgent=5&rowAgent-1=0) | (colAgent=6&rowAgent-1=0) | (colAgent=7&rowAgent-1=0) | (colAgent=8&rowAgent-1=0) | (colAgent=9&rowAgent-1=0) | (colAgent=10&rowAgent-1=0) | (colAgent=11&rowAgent-1=0) | (colAgent=12&rowAgent-1=0) | (colAgent=13&rowAgent-1=0) | (colAgent=14&rowAgent-1=0) | (colAgent=15&rowAgent-1=0) | (colAgent=16&rowAgent-1=0) | (colAgent=17&rowAgent-1=0) | (colAgent=18&rowAgent-1=0) | (colAgent=19&rowAgent-1=0) | (colAgent=20&rowAgent-1=0) | (colAgent=21&rowAgent-1=0) | (colAgent=22&rowAgent-1=0) | (colAgent=23&rowAgent-1=0) | (colAgent=24&rowAgent-1=0) | (colAgent=25&rowAgent-1=0) | (colAgent=26&rowAgent-1=0) | (colAgent=0&rowAgent-1=1) | (colAgent=26&rowAgent-1=1) | (colAgent=0&rowAgent-1=2) | (colAgent=26&rowAgent-1=2) | (colAgent=0&rowAgent-1=3) | (colAgent=26&rowAgent-1=3) | (colAgent=0&rowAgent-1=4) | (colAgent=26&rowAgent-1=4) | (colAgent=0&rowAgent-1=5) | (colAgent=26&rowAgent-1=5) | (colAgent=0&rowAgent-1=6) | (colAgent=26&rowAgent-1=6) | (colAgent=0&rowAgent-1=7) | (colAgent=26&rowAgent-1=7) | (colAgent=0&rowAgent-1=8) | (colAgent=26&rowAgent-1=8) | (colAgent=0&rowAgent-1=9) | (colAgent=26&rowAgent-1=9) | (colAgent=0&rowAgent-1=10) | (colAgent=26&rowAgent-1=10) | (colAgent=0&rowAgent-1=11) | (colAgent=26&rowAgent-1=11) | (colAgent=0&rowAgent-1=12) | (colAgent=26&rowAgent-1=12) | (colAgent=0&rowAgent-1=13) | (colAgent=26&rowAgent-1=13) | (colAgent=0&rowAgent-1=14) | (colAgent=26&rowAgent-1=14) | (colAgent=0&rowAgent-1=15) | (colAgent=26&rowAgent-1=15) | (colAgent=0&rowAgent-1=16) | (colAgent=26&rowAgent-1=16) | (colAgent=0&rowAgent-1=17) | (colAgent=26&rowAgent-1=17) | (colAgent=0&rowAgent-1=18) | (colAgent=26&rowAgent-1=18) | (colAgent=0&rowAgent-1=19) | (colAgent=26&rowAgent-1=19) | (colAgent=0&rowAgent-1=20) | (colAgent=26&rowAgent-1=20) | (colAgent=0&rowAgent-1=21) | (colAgent=1&rowAgent-1=21) | (colAgent=2&rowAgent-1=21) | (colAgent=3&rowAgent-1=21) | (colAgent=4&rowAgent-1=21) | (colAgent=5&rowAgent-1=21) | (colAgent=6&rowAgent-1=21) | (colAgent=7&rowAgent-1=21) | (colAgent=8&rowAgent-1=21) | (colAgent=9&rowAgent-1=21) | (colAgent=10&rowAgent-1=21) | (colAgent=11&rowAgent-1=21) | (colAgent=12&rowAgent-1=21) | (colAgent=13&rowAgent-1=21) | (colAgent=14&rowAgent-1=21) | (colAgent=15&rowAgent-1=21) | (colAgent=16&rowAgent-1=21) | (colAgent=17&rowAgent-1=21) | (colAgent=18&rowAgent-1=21) | (colAgent=19&rowAgent-1=21) | (colAgent=20&rowAgent-1=21) | (colAgent=21&rowAgent-1=21) | (colAgent=22&rowAgent-1=21) | (colAgent=23&rowAgent-1=21) | (colAgent=24&rowAgent-1=21) | (colAgent=25&rowAgent-1=21) | (colAgent=26&rowAgent-1=21);
+formula AgentCannotSlipNorthEast = (colAgent+1=0&rowAgent-1=0) | (colAgent+1=1&rowAgent-1=0) | (colAgent+1=2&rowAgent-1=0) | (colAgent+1=3&rowAgent-1=0) | (colAgent+1=4&rowAgent-1=0) | (colAgent+1=5&rowAgent-1=0) | (colAgent+1=6&rowAgent-1=0) | (colAgent+1=7&rowAgent-1=0) | (colAgent+1=8&rowAgent-1=0) | (colAgent+1=9&rowAgent-1=0) | (colAgent+1=10&rowAgent-1=0) | (colAgent+1=11&rowAgent-1=0) | (colAgent+1=12&rowAgent-1=0) | (colAgent+1=13&rowAgent-1=0) | (colAgent+1=14&rowAgent-1=0) | (colAgent+1=15&rowAgent-1=0) | (colAgent+1=16&rowAgent-1=0) | (colAgent+1=17&rowAgent-1=0) | (colAgent+1=18&rowAgent-1=0) | (colAgent+1=19&rowAgent-1=0) | (colAgent+1=20&rowAgent-1=0) | (colAgent+1=21&rowAgent-1=0) | (colAgent+1=22&rowAgent-1=0) | (colAgent+1=23&rowAgent-1=0) | (colAgent+1=24&rowAgent-1=0) | (colAgent+1=25&rowAgent-1=0) | (colAgent+1=26&rowAgent-1=0) | (colAgent+1=0&rowAgent-1=1) | (colAgent+1=26&rowAgent-1=1) | (colAgent+1=0&rowAgent-1=2) | (colAgent+1=26&rowAgent-1=2) | (colAgent+1=0&rowAgent-1=3) | (colAgent+1=26&rowAgent-1=3) | (colAgent+1=0&rowAgent-1=4) | (colAgent+1=26&rowAgent-1=4) | (colAgent+1=0&rowAgent-1=5) | (colAgent+1=26&rowAgent-1=5) | (colAgent+1=0&rowAgent-1=6) | (colAgent+1=26&rowAgent-1=6) | (colAgent+1=0&rowAgent-1=7) | (colAgent+1=26&rowAgent-1=7) | (colAgent+1=0&rowAgent-1=8) | (colAgent+1=26&rowAgent-1=8) | (colAgent+1=0&rowAgent-1=9) | (colAgent+1=26&rowAgent-1=9) | (colAgent+1=0&rowAgent-1=10) | (colAgent+1=26&rowAgent-1=10) | (colAgent+1=0&rowAgent-1=11) | (colAgent+1=26&rowAgent-1=11) | (colAgent+1=0&rowAgent-1=12) | (colAgent+1=26&rowAgent-1=12) | (colAgent+1=0&rowAgent-1=13) | (colAgent+1=26&rowAgent-1=13) | (colAgent+1=0&rowAgent-1=14) | (colAgent+1=26&rowAgent-1=14) | (colAgent+1=0&rowAgent-1=15) | (colAgent+1=26&rowAgent-1=15) | (colAgent+1=0&rowAgent-1=16) | (colAgent+1=26&rowAgent-1=16) | (colAgent+1=0&rowAgent-1=17) | (colAgent+1=26&rowAgent-1=17) | (colAgent+1=0&rowAgent-1=18) | (colAgent+1=26&rowAgent-1=18) | (colAgent+1=0&rowAgent-1=19) | (colAgent+1=26&rowAgent-1=19) | (colAgent+1=0&rowAgent-1=20) | (colAgent+1=26&rowAgent-1=20) | (colAgent+1=0&rowAgent-1=21) | (colAgent+1=1&rowAgent-1=21) | (colAgent+1=2&rowAgent-1=21) | (colAgent+1=3&rowAgent-1=21) | (colAgent+1=4&rowAgent-1=21) | (colAgent+1=5&rowAgent-1=21) | (colAgent+1=6&rowAgent-1=21) | (colAgent+1=7&rowAgent-1=21) | (colAgent+1=8&rowAgent-1=21) | (colAgent+1=9&rowAgent-1=21) | (colAgent+1=10&rowAgent-1=21) | (colAgent+1=11&rowAgent-1=21) | (colAgent+1=12&rowAgent-1=21) | (colAgent+1=13&rowAgent-1=21) | (colAgent+1=14&rowAgent-1=21) | (colAgent+1=15&rowAgent-1=21) | (colAgent+1=16&rowAgent-1=21) | (colAgent+1=17&rowAgent-1=21) | (colAgent+1=18&rowAgent-1=21) | (colAgent+1=19&rowAgent-1=21) | (colAgent+1=20&rowAgent-1=21) | (colAgent+1=21&rowAgent-1=21) | (colAgent+1=22&rowAgent-1=21) | (colAgent+1=23&rowAgent-1=21) | (colAgent+1=24&rowAgent-1=21) | (colAgent+1=25&rowAgent-1=21) | (colAgent+1=26&rowAgent-1=21);
+formula AgentCannotSlipNorthWest = (colAgent-1=0&rowAgent-1=0) | (colAgent-1=1&rowAgent-1=0) | (colAgent-1=2&rowAgent-1=0) | (colAgent-1=3&rowAgent-1=0) | (colAgent-1=4&rowAgent-1=0) | (colAgent-1=5&rowAgent-1=0) | (colAgent-1=6&rowAgent-1=0) | (colAgent-1=7&rowAgent-1=0) | (colAgent-1=8&rowAgent-1=0) | (colAgent-1=9&rowAgent-1=0) | (colAgent-1=10&rowAgent-1=0) | (colAgent-1=11&rowAgent-1=0) | (colAgent-1=12&rowAgent-1=0) | (colAgent-1=13&rowAgent-1=0) | (colAgent-1=14&rowAgent-1=0) | (colAgent-1=15&rowAgent-1=0) | (colAgent-1=16&rowAgent-1=0) | (colAgent-1=17&rowAgent-1=0) | (colAgent-1=18&rowAgent-1=0) | (colAgent-1=19&rowAgent-1=0) | (colAgent-1=20&rowAgent-1=0) | (colAgent-1=21&rowAgent-1=0) | (colAgent-1=22&rowAgent-1=0) | (colAgent-1=23&rowAgent-1=0) | (colAgent-1=24&rowAgent-1=0) | (colAgent-1=25&rowAgent-1=0) | (colAgent-1=26&rowAgent-1=0) | (colAgent-1=0&rowAgent-1=1) | (colAgent-1=26&rowAgent-1=1) | (colAgent-1=0&rowAgent-1=2) | (colAgent-1=26&rowAgent-1=2) | (colAgent-1=0&rowAgent-1=3) | (colAgent-1=26&rowAgent-1=3) | (colAgent-1=0&rowAgent-1=4) | (colAgent-1=26&rowAgent-1=4) | (colAgent-1=0&rowAgent-1=5) | (colAgent-1=26&rowAgent-1=5) | (colAgent-1=0&rowAgent-1=6) | (colAgent-1=26&rowAgent-1=6) | (colAgent-1=0&rowAgent-1=7) | (colAgent-1=26&rowAgent-1=7) | (colAgent-1=0&rowAgent-1=8) | (colAgent-1=26&rowAgent-1=8) | (colAgent-1=0&rowAgent-1=9) | (colAgent-1=26&rowAgent-1=9) | (colAgent-1=0&rowAgent-1=10) | (colAgent-1=26&rowAgent-1=10) | (colAgent-1=0&rowAgent-1=11) | (colAgent-1=26&rowAgent-1=11) | (colAgent-1=0&rowAgent-1=12) | (colAgent-1=26&rowAgent-1=12) | (colAgent-1=0&rowAgent-1=13) | (colAgent-1=26&rowAgent-1=13) | (colAgent-1=0&rowAgent-1=14) | (colAgent-1=26&rowAgent-1=14) | (colAgent-1=0&rowAgent-1=15) | (colAgent-1=26&rowAgent-1=15) | (colAgent-1=0&rowAgent-1=16) | (colAgent-1=26&rowAgent-1=16) | (colAgent-1=0&rowAgent-1=17) | (colAgent-1=26&rowAgent-1=17) | (colAgent-1=0&rowAgent-1=18) | (colAgent-1=26&rowAgent-1=18) | (colAgent-1=0&rowAgent-1=19) | (colAgent-1=26&rowAgent-1=19) | (colAgent-1=0&rowAgent-1=20) | (colAgent-1=26&rowAgent-1=20) | (colAgent-1=0&rowAgent-1=21) | (colAgent-1=1&rowAgent-1=21) | (colAgent-1=2&rowAgent-1=21) | (colAgent-1=3&rowAgent-1=21) | (colAgent-1=4&rowAgent-1=21) | (colAgent-1=5&rowAgent-1=21) | (colAgent-1=6&rowAgent-1=21) | (colAgent-1=7&rowAgent-1=21) | (colAgent-1=8&rowAgent-1=21) | (colAgent-1=9&rowAgent-1=21) | (colAgent-1=10&rowAgent-1=21) | (colAgent-1=11&rowAgent-1=21) | (colAgent-1=12&rowAgent-1=21) | (colAgent-1=13&rowAgent-1=21) | (colAgent-1=14&rowAgent-1=21) | (colAgent-1=15&rowAgent-1=21) | (colAgent-1=16&rowAgent-1=21) | (colAgent-1=17&rowAgent-1=21) | (colAgent-1=18&rowAgent-1=21) | (colAgent-1=19&rowAgent-1=21) | (colAgent-1=20&rowAgent-1=21) | (colAgent-1=21&rowAgent-1=21) | (colAgent-1=22&rowAgent-1=21) | (colAgent-1=23&rowAgent-1=21) | (colAgent-1=24&rowAgent-1=21) | (colAgent-1=25&rowAgent-1=21) | (colAgent-1=26&rowAgent-1=21);
+formula AgentCannotSlipSouth = (colAgent=0&rowAgent+1=0) | (colAgent=1&rowAgent+1=0) | (colAgent=2&rowAgent+1=0) | (colAgent=3&rowAgent+1=0) | (colAgent=4&rowAgent+1=0) | (colAgent=5&rowAgent+1=0) | (colAgent=6&rowAgent+1=0) | (colAgent=7&rowAgent+1=0) | (colAgent=8&rowAgent+1=0) | (colAgent=9&rowAgent+1=0) | (colAgent=10&rowAgent+1=0) | (colAgent=11&rowAgent+1=0) | (colAgent=12&rowAgent+1=0) | (colAgent=13&rowAgent+1=0) | (colAgent=14&rowAgent+1=0) | (colAgent=15&rowAgent+1=0) | (colAgent=16&rowAgent+1=0) | (colAgent=17&rowAgent+1=0) | (colAgent=18&rowAgent+1=0) | (colAgent=19&rowAgent+1=0) | (colAgent=20&rowAgent+1=0) | (colAgent=21&rowAgent+1=0) | (colAgent=22&rowAgent+1=0) | (colAgent=23&rowAgent+1=0) | (colAgent=24&rowAgent+1=0) | (colAgent=25&rowAgent+1=0) | (colAgent=26&rowAgent+1=0) | (colAgent=0&rowAgent+1=1) | (colAgent=26&rowAgent+1=1) | (colAgent=0&rowAgent+1=2) | (colAgent=26&rowAgent+1=2) | (colAgent=0&rowAgent+1=3) | (colAgent=26&rowAgent+1=3) | (colAgent=0&rowAgent+1=4) | (colAgent=26&rowAgent+1=4) | (colAgent=0&rowAgent+1=5) | (colAgent=26&rowAgent+1=5) | (colAgent=0&rowAgent+1=6) | (colAgent=26&rowAgent+1=6) | (colAgent=0&rowAgent+1=7) | (colAgent=26&rowAgent+1=7) | (colAgent=0&rowAgent+1=8) | (colAgent=26&rowAgent+1=8) | (colAgent=0&rowAgent+1=9) | (colAgent=26&rowAgent+1=9) | (colAgent=0&rowAgent+1=10) | (colAgent=26&rowAgent+1=10) | (colAgent=0&rowAgent+1=11) | (colAgent=26&rowAgent+1=11) | (colAgent=0&rowAgent+1=12) | (colAgent=26&rowAgent+1=12) | (colAgent=0&rowAgent+1=13) | (colAgent=26&rowAgent+1=13) | (colAgent=0&rowAgent+1=14) | (colAgent=26&rowAgent+1=14) | (colAgent=0&rowAgent+1=15) | (colAgent=26&rowAgent+1=15) | (colAgent=0&rowAgent+1=16) | (colAgent=26&rowAgent+1=16) | (colAgent=0&rowAgent+1=17) | (colAgent=26&rowAgent+1=17) | (colAgent=0&rowAgent+1=18) | (colAgent=26&rowAgent+1=18) | (colAgent=0&rowAgent+1=19) | (colAgent=26&rowAgent+1=19) | (colAgent=0&rowAgent+1=20) | (colAgent=26&rowAgent+1=20) | (colAgent=0&rowAgent+1=21) | (colAgent=1&rowAgent+1=21) | (colAgent=2&rowAgent+1=21) | (colAgent=3&rowAgent+1=21) | (colAgent=4&rowAgent+1=21) | (colAgent=5&rowAgent+1=21) | (colAgent=6&rowAgent+1=21) | (colAgent=7&rowAgent+1=21) | (colAgent=8&rowAgent+1=21) | (colAgent=9&rowAgent+1=21) | (colAgent=10&rowAgent+1=21) | (colAgent=11&rowAgent+1=21) | (colAgent=12&rowAgent+1=21) | (colAgent=13&rowAgent+1=21) | (colAgent=14&rowAgent+1=21) | (colAgent=15&rowAgent+1=21) | (colAgent=16&rowAgent+1=21) | (colAgent=17&rowAgent+1=21) | (colAgent=18&rowAgent+1=21) | (colAgent=19&rowAgent+1=21) | (colAgent=20&rowAgent+1=21) | (colAgent=21&rowAgent+1=21) | (colAgent=22&rowAgent+1=21) | (colAgent=23&rowAgent+1=21) | (colAgent=24&rowAgent+1=21) | (colAgent=25&rowAgent+1=21) | (colAgent=26&rowAgent+1=21);
+formula AgentCannotSlipSouthEast = (colAgent+1=0&rowAgent+1=0) | (colAgent+1=1&rowAgent+1=0) | (colAgent+1=2&rowAgent+1=0) | (colAgent+1=3&rowAgent+1=0) | (colAgent+1=4&rowAgent+1=0) | (colAgent+1=5&rowAgent+1=0) | (colAgent+1=6&rowAgent+1=0) | (colAgent+1=7&rowAgent+1=0) | (colAgent+1=8&rowAgent+1=0) | (colAgent+1=9&rowAgent+1=0) | (colAgent+1=10&rowAgent+1=0) | (colAgent+1=11&rowAgent+1=0) | (colAgent+1=12&rowAgent+1=0) | (colAgent+1=13&rowAgent+1=0) | (colAgent+1=14&rowAgent+1=0) | (colAgent+1=15&rowAgent+1=0) | (colAgent+1=16&rowAgent+1=0) | (colAgent+1=17&rowAgent+1=0) | (colAgent+1=18&rowAgent+1=0) | (colAgent+1=19&rowAgent+1=0) | (colAgent+1=20&rowAgent+1=0) | (colAgent+1=21&rowAgent+1=0) | (colAgent+1=22&rowAgent+1=0) | (colAgent+1=23&rowAgent+1=0) | (colAgent+1=24&rowAgent+1=0) | (colAgent+1=25&rowAgent+1=0) | (colAgent+1=26&rowAgent+1=0) | (colAgent+1=0&rowAgent+1=1) | (colAgent+1=26&rowAgent+1=1) | (colAgent+1=0&rowAgent+1=2) | (colAgent+1=26&rowAgent+1=2) | (colAgent+1=0&rowAgent+1=3) | (colAgent+1=26&rowAgent+1=3) | (colAgent+1=0&rowAgent+1=4) | (colAgent+1=26&rowAgent+1=4) | (colAgent+1=0&rowAgent+1=5) | (colAgent+1=26&rowAgent+1=5) | (colAgent+1=0&rowAgent+1=6) | (colAgent+1=26&rowAgent+1=6) | (colAgent+1=0&rowAgent+1=7) | (colAgent+1=26&rowAgent+1=7) | (colAgent+1=0&rowAgent+1=8) | (colAgent+1=26&rowAgent+1=8) | (colAgent+1=0&rowAgent+1=9) | (colAgent+1=26&rowAgent+1=9) | (colAgent+1=0&rowAgent+1=10) | (colAgent+1=26&rowAgent+1=10) | (colAgent+1=0&rowAgent+1=11) | (colAgent+1=26&rowAgent+1=11) | (colAgent+1=0&rowAgent+1=12) | (colAgent+1=26&rowAgent+1=12) | (colAgent+1=0&rowAgent+1=13) | (colAgent+1=26&rowAgent+1=13) | (colAgent+1=0&rowAgent+1=14) | (colAgent+1=26&rowAgent+1=14) | (colAgent+1=0&rowAgent+1=15) | (colAgent+1=26&rowAgent+1=15) | (colAgent+1=0&rowAgent+1=16) | (colAgent+1=26&rowAgent+1=16) | (colAgent+1=0&rowAgent+1=17) | (colAgent+1=26&rowAgent+1=17) | (colAgent+1=0&rowAgent+1=18) | (colAgent+1=26&rowAgent+1=18) | (colAgent+1=0&rowAgent+1=19) | (colAgent+1=26&rowAgent+1=19) | (colAgent+1=0&rowAgent+1=20) | (colAgent+1=26&rowAgent+1=20) | (colAgent+1=0&rowAgent+1=21) | (colAgent+1=1&rowAgent+1=21) | (colAgent+1=2&rowAgent+1=21) | (colAgent+1=3&rowAgent+1=21) | (colAgent+1=4&rowAgent+1=21) | (colAgent+1=5&rowAgent+1=21) | (colAgent+1=6&rowAgent+1=21) | (colAgent+1=7&rowAgent+1=21) | (colAgent+1=8&rowAgent+1=21) | (colAgent+1=9&rowAgent+1=21) | (colAgent+1=10&rowAgent+1=21) | (colAgent+1=11&rowAgent+1=21) | (colAgent+1=12&rowAgent+1=21) | (colAgent+1=13&rowAgent+1=21) | (colAgent+1=14&rowAgent+1=21) | (colAgent+1=15&rowAgent+1=21) | (colAgent+1=16&rowAgent+1=21) | (colAgent+1=17&rowAgent+1=21) | (colAgent+1=18&rowAgent+1=21) | (colAgent+1=19&rowAgent+1=21) | (colAgent+1=20&rowAgent+1=21) | (colAgent+1=21&rowAgent+1=21) | (colAgent+1=22&rowAgent+1=21) | (colAgent+1=23&rowAgent+1=21) | (colAgent+1=24&rowAgent+1=21) | (colAgent+1=25&rowAgent+1=21) | (colAgent+1=26&rowAgent+1=21);
+formula AgentCannotSlipSouthWest = (colAgent-1=0&rowAgent+1=0) | (colAgent-1=1&rowAgent+1=0) | (colAgent-1=2&rowAgent+1=0) | (colAgent-1=3&rowAgent+1=0) | (colAgent-1=4&rowAgent+1=0) | (colAgent-1=5&rowAgent+1=0) | (colAgent-1=6&rowAgent+1=0) | (colAgent-1=7&rowAgent+1=0) | (colAgent-1=8&rowAgent+1=0) | (colAgent-1=9&rowAgent+1=0) | (colAgent-1=10&rowAgent+1=0) | (colAgent-1=11&rowAgent+1=0) | (colAgent-1=12&rowAgent+1=0) | (colAgent-1=13&rowAgent+1=0) | (colAgent-1=14&rowAgent+1=0) | (colAgent-1=15&rowAgent+1=0) | (colAgent-1=16&rowAgent+1=0) | (colAgent-1=17&rowAgent+1=0) | (colAgent-1=18&rowAgent+1=0) | (colAgent-1=19&rowAgent+1=0) | (colAgent-1=20&rowAgent+1=0) | (colAgent-1=21&rowAgent+1=0) | (colAgent-1=22&rowAgent+1=0) | (colAgent-1=23&rowAgent+1=0) | (colAgent-1=24&rowAgent+1=0) | (colAgent-1=25&rowAgent+1=0) | (colAgent-1=26&rowAgent+1=0) | (colAgent-1=0&rowAgent+1=1) | (colAgent-1=26&rowAgent+1=1) | (colAgent-1=0&rowAgent+1=2) | (colAgent-1=26&rowAgent+1=2) | (colAgent-1=0&rowAgent+1=3) | (colAgent-1=26&rowAgent+1=3) | (colAgent-1=0&rowAgent+1=4) | (colAgent-1=26&rowAgent+1=4) | (colAgent-1=0&rowAgent+1=5) | (colAgent-1=26&rowAgent+1=5) | (colAgent-1=0&rowAgent+1=6) | (colAgent-1=26&rowAgent+1=6) | (colAgent-1=0&rowAgent+1=7) | (colAgent-1=26&rowAgent+1=7) | (colAgent-1=0&rowAgent+1=8) | (colAgent-1=26&rowAgent+1=8) | (colAgent-1=0&rowAgent+1=9) | (colAgent-1=26&rowAgent+1=9) | (colAgent-1=0&rowAgent+1=10) | (colAgent-1=26&rowAgent+1=10) | (colAgent-1=0&rowAgent+1=11) | (colAgent-1=26&rowAgent+1=11) | (colAgent-1=0&rowAgent+1=12) | (colAgent-1=26&rowAgent+1=12) | (colAgent-1=0&rowAgent+1=13) | (colAgent-1=26&rowAgent+1=13) | (colAgent-1=0&rowAgent+1=14) | (colAgent-1=26&rowAgent+1=14) | (colAgent-1=0&rowAgent+1=15) | (colAgent-1=26&rowAgent+1=15) | (colAgent-1=0&rowAgent+1=16) | (colAgent-1=26&rowAgent+1=16) | (colAgent-1=0&rowAgent+1=17) | (colAgent-1=26&rowAgent+1=17) | (colAgent-1=0&rowAgent+1=18) | (colAgent-1=26&rowAgent+1=18) | (colAgent-1=0&rowAgent+1=19) | (colAgent-1=26&rowAgent+1=19) | (colAgent-1=0&rowAgent+1=20) | (colAgent-1=26&rowAgent+1=20) | (colAgent-1=0&rowAgent+1=21) | (colAgent-1=1&rowAgent+1=21) | (colAgent-1=2&rowAgent+1=21) | (colAgent-1=3&rowAgent+1=21) | (colAgent-1=4&rowAgent+1=21) | (colAgent-1=5&rowAgent+1=21) | (colAgent-1=6&rowAgent+1=21) | (colAgent-1=7&rowAgent+1=21) | (colAgent-1=8&rowAgent+1=21) | (colAgent-1=9&rowAgent+1=21) | (colAgent-1=10&rowAgent+1=21) | (colAgent-1=11&rowAgent+1=21) | (colAgent-1=12&rowAgent+1=21) | (colAgent-1=13&rowAgent+1=21) | (colAgent-1=14&rowAgent+1=21) | (colAgent-1=15&rowAgent+1=21) | (colAgent-1=16&rowAgent+1=21) | (colAgent-1=17&rowAgent+1=21) | (colAgent-1=18&rowAgent+1=21) | (colAgent-1=19&rowAgent+1=21) | (colAgent-1=20&rowAgent+1=21) | (colAgent-1=21&rowAgent+1=21) | (colAgent-1=22&rowAgent+1=21) | (colAgent-1=23&rowAgent+1=21) | (colAgent-1=24&rowAgent+1=21) | (colAgent-1=25&rowAgent+1=21) | (colAgent-1=26&rowAgent+1=21);
+formula AgentCannotSlipWest = (colAgent-1=0&rowAgent=0) | (colAgent-1=1&rowAgent=0) | (colAgent-1=2&rowAgent=0) | (colAgent-1=3&rowAgent=0) | (colAgent-1=4&rowAgent=0) | (colAgent-1=5&rowAgent=0) | (colAgent-1=6&rowAgent=0) | (colAgent-1=7&rowAgent=0) | (colAgent-1=8&rowAgent=0) | (colAgent-1=9&rowAgent=0) | (colAgent-1=10&rowAgent=0) | (colAgent-1=11&rowAgent=0) | (colAgent-1=12&rowAgent=0) | (colAgent-1=13&rowAgent=0) | (colAgent-1=14&rowAgent=0) | (colAgent-1=15&rowAgent=0) | (colAgent-1=16&rowAgent=0) | (colAgent-1=17&rowAgent=0) | (colAgent-1=18&rowAgent=0) | (colAgent-1=19&rowAgent=0) | (colAgent-1=20&rowAgent=0) | (colAgent-1=21&rowAgent=0) | (colAgent-1=22&rowAgent=0) | (colAgent-1=23&rowAgent=0) | (colAgent-1=24&rowAgent=0) | (colAgent-1=25&rowAgent=0) | (colAgent-1=26&rowAgent=0) | (colAgent-1=0&rowAgent=1) | (colAgent-1=26&rowAgent=1) | (colAgent-1=0&rowAgent=2) | (colAgent-1=26&rowAgent=2) | (colAgent-1=0&rowAgent=3) | (colAgent-1=26&rowAgent=3) | (colAgent-1=0&rowAgent=4) | (colAgent-1=26&rowAgent=4) | (colAgent-1=0&rowAgent=5) | (colAgent-1=26&rowAgent=5) | (colAgent-1=0&rowAgent=6) | (colAgent-1=26&rowAgent=6) | (colAgent-1=0&rowAgent=7) | (colAgent-1=26&rowAgent=7) | (colAgent-1=0&rowAgent=8) | (colAgent-1=26&rowAgent=8) | (colAgent-1=0&rowAgent=9) | (colAgent-1=26&rowAgent=9) | (colAgent-1=0&rowAgent=10) | (colAgent-1=26&rowAgent=10) | (colAgent-1=0&rowAgent=11) | (colAgent-1=26&rowAgent=11) | (colAgent-1=0&rowAgent=12) | (colAgent-1=26&rowAgent=12) | (colAgent-1=0&rowAgent=13) | (colAgent-1=26&rowAgent=13) | (colAgent-1=0&rowAgent=14) | (colAgent-1=26&rowAgent=14) | (colAgent-1=0&rowAgent=15) | (colAgent-1=26&rowAgent=15) | (colAgent-1=0&rowAgent=16) | (colAgent-1=26&rowAgent=16) | (colAgent-1=0&rowAgent=17) | (colAgent-1=26&rowAgent=17) | (colAgent-1=0&rowAgent=18) | (colAgent-1=26&rowAgent=18) | (colAgent-1=0&rowAgent=19) | (colAgent-1=26&rowAgent=19) | (colAgent-1=0&rowAgent=20) | (colAgent-1=26&rowAgent=20) | (colAgent-1=0&rowAgent=21) | (colAgent-1=1&rowAgent=21) | (colAgent-1=2&rowAgent=21) | (colAgent-1=3&rowAgent=21) | (colAgent-1=4&rowAgent=21) | (colAgent-1=5&rowAgent=21) | (colAgent-1=6&rowAgent=21) | (colAgent-1=7&rowAgent=21) | (colAgent-1=8&rowAgent=21) | (colAgent-1=9&rowAgent=21) | (colAgent-1=10&rowAgent=21) | (colAgent-1=11&rowAgent=21) | (colAgent-1=12&rowAgent=21) | (colAgent-1=13&rowAgent=21) | (colAgent-1=14&rowAgent=21) | (colAgent-1=15&rowAgent=21) | (colAgent-1=16&rowAgent=21) | (colAgent-1=17&rowAgent=21) | (colAgent-1=18&rowAgent=21) | (colAgent-1=19&rowAgent=21) | (colAgent-1=20&rowAgent=21) | (colAgent-1=21&rowAgent=21) | (colAgent-1=22&rowAgent=21) | (colAgent-1=23&rowAgent=21) | (colAgent-1=24&rowAgent=21) | (colAgent-1=25&rowAgent=21) | (colAgent-1=26&rowAgent=21);
+formula AgentIsOnLava = (colAgent=16&rowAgent=1) | (colAgent=17&rowAgent=1) | (colAgent=18&rowAgent=1) | (colAgent=19&rowAgent=1) | (colAgent=16&rowAgent=2) | (colAgent=17&rowAgent=2) | (colAgent=18&rowAgent=2) | (colAgent=19&rowAgent=2) | (colAgent=10&rowAgent=3) | (colAgent=11&rowAgent=3) | (colAgent=12&rowAgent=3) | (colAgent=10&rowAgent=4) | (colAgent=11&rowAgent=4) | (colAgent=12&rowAgent=4) | (colAgent=10&rowAgent=5) | (colAgent=11&rowAgent=5) | (colAgent=12&rowAgent=5) | (colAgent=10&rowAgent=6) | (colAgent=11&rowAgent=6) | (colAgent=12&rowAgent=6) | (colAgent=16&rowAgent=7) | (colAgent=17&rowAgent=7) | (colAgent=18&rowAgent=7) | (colAgent=19&rowAgent=7) | (colAgent=20&rowAgent=7) | (colAgent=21&rowAgent=7) | (colAgent=22&rowAgent=7) | (colAgent=23&rowAgent=7) | (colAgent=16&rowAgent=8) | (colAgent=17&rowAgent=8) | (colAgent=18&rowAgent=8) | (colAgent=19&rowAgent=8) | (colAgent=20&rowAgent=8) | (colAgent=21&rowAgent=8) | (colAgent=22&rowAgent=8) | (colAgent=23&rowAgent=8) | (colAgent=16&rowAgent=9) | (colAgent=17&rowAgent=9) | (colAgent=18&rowAgent=9) | (colAgent=19&rowAgent=9) | (colAgent=20&rowAgent=9) | (colAgent=21&rowAgent=9) | (colAgent=22&rowAgent=9) | (colAgent=23&rowAgent=9) | (colAgent=16&rowAgent=10) | (colAgent=17&rowAgent=10) | (colAgent=18&rowAgent=10) | (colAgent=19&rowAgent=10) | (colAgent=20&rowAgent=10) | (colAgent=21&rowAgent=10) | (colAgent=22&rowAgent=10) | (colAgent=23&rowAgent=10) | (colAgent=8&rowAgent=11) | (colAgent=9&rowAgent=11) | (colAgent=10&rowAgent=11) | (colAgent=11&rowAgent=11) | (colAgent=12&rowAgent=11) | (colAgent=16&rowAgent=11) | (colAgent=17&rowAgent=11) | (colAgent=18&rowAgent=11) | (colAgent=19&rowAgent=11) | (colAgent=20&rowAgent=11) | (colAgent=21&rowAgent=11) | (colAgent=22&rowAgent=11) | (colAgent=23&rowAgent=11) | (colAgent=8&rowAgent=12) | (colAgent=9&rowAgent=12) | (colAgent=10&rowAgent=12) | (colAgent=11&rowAgent=12) | (colAgent=12&rowAgent=12) | (colAgent=8&rowAgent=13) | (colAgent=9&rowAgent=13) | (colAgent=10&rowAgent=13) | (colAgent=11&rowAgent=13) | (colAgent=12&rowAgent=13) | (colAgent=8&rowAgent=14) | (colAgent=9&rowAgent=14) | (colAgent=10&rowAgent=14) | (colAgent=11&rowAgent=14) | (colAgent=12&rowAgent=14) | (colAgent=22&rowAgent=14) | (colAgent=23&rowAgent=14) | (colAgent=24&rowAgent=14) | (colAgent=25&rowAgent=14) | (colAgent=8&rowAgent=15) | (colAgent=9&rowAgent=15) | (colAgent=10&rowAgent=15) | (colAgent=11&rowAgent=15) | (colAgent=12&rowAgent=15) | (colAgent=22&rowAgent=15) | (colAgent=23&rowAgent=15) | (colAgent=24&rowAgent=15) | (colAgent=25&rowAgent=15) | (colAgent=8&rowAgent=16) | (colAgent=9&rowAgent=16) | (colAgent=10&rowAgent=16) | (colAgent=11&rowAgent=16) | (colAgent=12&rowAgent=16) | (colAgent=22&rowAgent=16) | (colAgent=23&rowAgent=16) | (colAgent=24&rowAgent=16) | (colAgent=25&rowAgent=16) | (colAgent=22&rowAgent=17) | (colAgent=23&rowAgent=17) | (colAgent=24&rowAgent=17) | (colAgent=25&rowAgent=17);
+formula AgentIsOnGoal = (colAgent=25&rowAgent=10);
+init
+ true
+endinit
+
+
+module Agent
+ colAgent : [1..25];
+ rowAgent : [1..20];
+ viewAgent : [0..3];
+
+ [Agent_turn_right] !AgentIsOnSlippery & !AgentIsOnLava &true -> 1.000000: (viewAgent'=mod(viewAgent+1,4));
+ [Agent_turn_left] !AgentIsOnSlippery & !AgentIsOnLava &viewAgent>0 -> 1.000000: (viewAgent'=viewAgent-1);
+ [Agent_turn_left] !AgentIsOnSlippery & !AgentIsOnLava &viewAgent=0 -> 1.000000: (viewAgent'=3);
+ [Agent_move_North] viewAgent=3 & !AgentIsOnSlippery & !AgentIsOnLava & !AgentIsOnGoal & !AgentCannotMoveNorthWall -> 1.000000: (rowAgent'=rowAgent-1);
+ [Agent_move_East] viewAgent=0 & !AgentIsOnSlippery & !AgentIsOnLava & !AgentIsOnGoal & !AgentCannotMoveEastWall -> 1.000000: (colAgent'=colAgent+1);
+ [Agent_move_South] viewAgent=1 & !AgentIsOnSlippery & !AgentIsOnLava & !AgentIsOnGoal & !AgentCannotMoveSouthWall -> 1.000000: (rowAgent'=rowAgent+1);
+ [Agent_move_West] viewAgent=2 & !AgentIsOnSlippery & !AgentIsOnLava & !AgentIsOnGoal & !AgentCannotMoveWestWall -> 1.000000: (colAgent'=colAgent-1);
+ [Agent_move_North] viewAgent=3 & AgentIsOnSlipperyNorth & !AgentCannotSlipNorth & !AgentCannotSlipNorthEast & !AgentCannotSlipNorthWest -> 0.950000: (rowAgent'=rowAgent-1) + 0.025000: (rowAgent'=rowAgent-1)&(colAgent'=colAgent+1) + 0.025000: (rowAgent'=rowAgent-1)&(colAgent'=colAgent-1);
+ [Agent_move_North] viewAgent=3 & AgentIsOnSlipperyNorth & AgentCannotSlipNorth & !AgentCannotSlipNorthEast & !AgentCannotSlipNorthWest -> 0.000000: (rowAgent'=rowAgent-1)&(colAgent'=colAgent+1) + 0.000000: (rowAgent'=rowAgent-1)&(colAgent'=colAgent-1);
+ [Agent_move_North] viewAgent=3 & AgentIsOnSlipperyNorth & !AgentCannotSlipNorth & AgentCannotSlipNorthEast & !AgentCannotSlipNorthWest -> 0.950000: (rowAgent'=rowAgent-1) + 0.050000: (rowAgent'=rowAgent-1)&(colAgent'=colAgent-1);
+ [Agent_move_North] viewAgent=3 & AgentIsOnSlipperyNorth & !AgentCannotSlipNorth & !AgentCannotSlipNorthEast & AgentCannotSlipNorthWest -> 0.950000: (rowAgent'=rowAgent-1) + 0.050000: (rowAgent'=rowAgent-1)&(colAgent'=colAgent+1);
+ [Agent_move_North] viewAgent=3 & AgentIsOnSlipperyNorth & AgentCannotSlipNorth & AgentCannotSlipNorthEast & !AgentCannotSlipNorthWest -> 1.000000: (rowAgent'=rowAgent-1)&(colAgent'=colAgent-1);
+ [Agent_move_North] viewAgent=3 & AgentIsOnSlipperyNorth & !AgentCannotSlipNorth & AgentCannotSlipNorthEast & AgentCannotSlipNorthWest -> 1.000000: (rowAgent'=rowAgent-1);
+ [Agent_move_North] viewAgent=3 & AgentIsOnSlipperyNorth & AgentCannotSlipNorth & !AgentCannotSlipNorthEast & AgentCannotSlipNorthWest -> 1.000000: (rowAgent'=rowAgent-1)&(colAgent'=colAgent+1);
+ [Agent_move_North] viewAgent=3 & AgentIsOnSlipperyNorth & AgentCannotSlipNorth & AgentCannotSlipNorthEast & AgentCannotSlipNorthWest -> true;
+ [Agent_move_West] viewAgent=2 & AgentIsOnSlipperyNorth & !AgentCannotSlipWest & !AgentCannotSlipNorthWest -> 0.950000: (colAgent'=colAgent-1) + 0.050000: (colAgent'=colAgent-1)&(rowAgent'=rowAgent-1);
+ [Agent_move_West] viewAgent=2 & AgentIsOnSlipperyNorth & AgentCannotSlipWest & !AgentCannotSlipNorthWest -> 1.000000: (colAgent'=colAgent-1)&(rowAgent'=rowAgent-1);
+ [Agent_move_West] viewAgent=2 & AgentIsOnSlipperyNorth & !AgentCannotSlipWest & AgentCannotSlipNorthWest -> 1.000000: (colAgent'=colAgent-1);
+ [Agent_move_West] viewAgent=2 & AgentIsOnSlipperyNorth & AgentCannotSlipWest & AgentCannotSlipNorthWest -> true;
+ [Agent_move_East] viewAgent=0 & AgentIsOnSlipperyNorth & !AgentCannotSlipEast & !AgentCannotSlipNorthEast -> 0.950000: (colAgent'=colAgent+1) + 0.050000: (colAgent'=colAgent+1)&(rowAgent'=rowAgent-1);
+ [Agent_move_East] viewAgent=0 & AgentIsOnSlipperyNorth & AgentCannotSlipEast & !AgentCannotSlipNorthEast -> 1.000000: (colAgent'=colAgent+1)&(rowAgent'=rowAgent-1);
+ [Agent_move_East] viewAgent=0 & AgentIsOnSlipperyNorth & !AgentCannotSlipEast & AgentCannotSlipNorthEast -> 1.000000: (colAgent'=colAgent+1);
+ [Agent_move_East] viewAgent=0 & AgentIsOnSlipperyNorth & AgentCannotSlipEast & AgentCannotSlipNorthEast -> true;
+ [Agent_move_South] viewAgent=1 & AgentIsOnSlipperyNorth & !AgentCannotSlipSouth -> 0.950000: (rowAgent'=rowAgent+1) + 0.050000: true;
+ [Agent_move_South] viewAgent=1 & AgentIsOnSlipperyNorth & AgentCannotSlipSouth -> 1.000000: true;
+ [Agent_turn_right] AgentIsOnSlipperyNorth & !AgentCannotSlipNorth & true -> 0.950000: (viewAgent'=mod(viewAgent+1,4)) + 0.050000: (rowAgent'=rowAgent-1);
+ [Agent_turn_right] AgentIsOnSlipperyNorth & AgentCannotSlipNorth & true -> 1.000000: (viewAgent'=mod(viewAgent+1,4));
+ [Agent_turn_left] AgentIsOnSlipperyNorth & !AgentCannotSlipNorth & viewAgent>0 -> 0.950000: (viewAgent'=viewAgent-1) + 0.050000: (rowAgent'=rowAgent-1);
+ [Agent_turn_left] AgentIsOnSlipperyNorth & !AgentCannotSlipNorth & viewAgent=0 -> 0.950000: (viewAgent'=3) + 0.050000: (rowAgent'=rowAgent-1);
+ [Agent_turn_left] AgentIsOnSlipperyNorth & AgentCannotSlipNorth & viewAgent>0 -> 1.000000: (viewAgent'=viewAgent-1);
+ [Agent_turn_left] AgentIsOnSlipperyNorth & AgentCannotSlipNorth & viewAgent=0 -> 1.000000: (viewAgent'=3);
+ [Agent_move_East] viewAgent=0 & AgentIsOnSlipperyEast & !AgentCannotSlipEast & !AgentCannotSlipSouthEast & !AgentCannotSlipNorthEast -> 0.950000: (colAgent'=colAgent+1) + 0.025000: (colAgent'=colAgent+1)&(rowAgent'=rowAgent+1) + 0.025000: (colAgent'=colAgent+1)&(rowAgent'=rowAgent-1);
+ [Agent_move_East] viewAgent=0 & AgentIsOnSlipperyEast & AgentCannotSlipEast & !AgentCannotSlipSouthEast & !AgentCannotSlipNorthEast -> 0.000000: (colAgent'=colAgent+1)&(rowAgent'=rowAgent+1) + 0.000000: (colAgent'=colAgent+1)&(rowAgent'=rowAgent-1);
+ [Agent_move_East] viewAgent=0 & AgentIsOnSlipperyEast & !AgentCannotSlipEast & AgentCannotSlipSouthEast & !AgentCannotSlipNorthEast -> 0.950000: (colAgent'=colAgent+1) + 0.050000: (colAgent'=colAgent+1)&(rowAgent'=rowAgent-1);
+ [Agent_move_East] viewAgent=0 & AgentIsOnSlipperyEast & !AgentCannotSlipEast & !AgentCannotSlipSouthEast & AgentCannotSlipNorthEast -> 0.950000: (colAgent'=colAgent+1) + 0.050000: (colAgent'=colAgent+1)&(rowAgent'=rowAgent+1);
+ [Agent_move_East] viewAgent=0 & AgentIsOnSlipperyEast & AgentCannotSlipEast & AgentCannotSlipSouthEast & !AgentCannotSlipNorthEast -> 1.000000: (colAgent'=colAgent+1)&(rowAgent'=rowAgent-1);
+ [Agent_move_East] viewAgent=0 & AgentIsOnSlipperyEast & !AgentCannotSlipEast & AgentCannotSlipSouthEast & AgentCannotSlipNorthEast -> 1.000000: (colAgent'=colAgent+1);
+ [Agent_move_East] viewAgent=0 & AgentIsOnSlipperyEast & AgentCannotSlipEast & !AgentCannotSlipSouthEast & AgentCannotSlipNorthEast -> 1.000000: (colAgent'=colAgent+1)&(rowAgent'=rowAgent+1);
+ [Agent_move_East] viewAgent=0 & AgentIsOnSlipperyEast & AgentCannotSlipEast & AgentCannotSlipSouthEast & AgentCannotSlipNorthEast -> true;
+ [Agent_move_North] viewAgent=3 & AgentIsOnSlipperyEast & !AgentCannotSlipNorth & !AgentCannotSlipNorthEast -> 0.950000: (rowAgent'=rowAgent-1) + 0.050000: (colAgent'=colAgent+1)&(rowAgent'=rowAgent-1);
+ [Agent_move_North] viewAgent=3 & AgentIsOnSlipperyEast & AgentCannotSlipNorth & !AgentCannotSlipNorthEast -> 1.000000: (colAgent'=colAgent+1)&(rowAgent'=rowAgent-1);
+ [Agent_move_North] viewAgent=3 & AgentIsOnSlipperyEast & !AgentCannotSlipNorth & AgentCannotSlipNorthEast -> 1.000000: (rowAgent'=rowAgent-1);
+ [Agent_move_North] viewAgent=3 & AgentIsOnSlipperyEast & AgentCannotSlipNorth & AgentCannotSlipNorthEast -> true;
+ [Agent_move_South] viewAgent=1 & AgentIsOnSlipperyEast & !AgentCannotSlipSouth & !AgentCannotSlipSouthEast -> 0.950000: (rowAgent'=rowAgent+1) + 0.050000: (colAgent'=colAgent+1)&(rowAgent'=rowAgent+1);
+ [Agent_move_South] viewAgent=1 & AgentIsOnSlipperyEast & AgentCannotSlipSouth & !AgentCannotSlipSouthEast -> 1.000000: (colAgent'=colAgent+1)&(rowAgent'=rowAgent+1);
+ [Agent_move_South] viewAgent=1 & AgentIsOnSlipperyEast & !AgentCannotSlipSouth & AgentCannotSlipSouthEast -> 1.000000: (rowAgent'=rowAgent+1);
+ [Agent_move_South] viewAgent=1 & AgentIsOnSlipperyEast & AgentCannotSlipSouth & AgentCannotSlipSouthEast -> true;
+ [Agent_move_West] viewAgent=2 & AgentIsOnSlipperyEast & !AgentCannotSlipEast -> 0.950000: (colAgent'=colAgent+1) + 0.050000: true;
+ [Agent_move_West] viewAgent=2 & AgentIsOnSlipperyEast & AgentCannotSlipEast -> 1.000000: true;
+ [Agent_turn_right] AgentIsOnSlipperyEast & !AgentCannotSlipEast & true -> 0.950000: (viewAgent'=mod(viewAgent+1,4)) + 0.050000: (colAgent'=colAgent+1);
+ [Agent_turn_right] AgentIsOnSlipperyEast & AgentCannotSlipEast & true -> 1.000000: (viewAgent'=mod(viewAgent+1,4));
+ [Agent_turn_left] AgentIsOnSlipperyEast & !AgentCannotSlipEast & viewAgent>0 -> 0.950000: (viewAgent'=viewAgent-1) + 0.050000: (colAgent'=colAgent+1);
+ [Agent_turn_left] AgentIsOnSlipperyEast & !AgentCannotSlipEast & viewAgent=0 -> 0.950000: (viewAgent'=3) + 0.050000: (colAgent'=colAgent+1);
+ [Agent_turn_left] AgentIsOnSlipperyEast & AgentCannotSlipEast & viewAgent>0 -> 1.000000: (viewAgent'=viewAgent-1);
+ [Agent_turn_left] AgentIsOnSlipperyEast & AgentCannotSlipEast & viewAgent=0 -> 1.000000: (viewAgent'=3);
+ [Agent_move_South] viewAgent=1 & AgentIsOnSlipperySouth & !AgentCannotSlipSouth & !AgentCannotSlipSouthEast & !AgentCannotSlipSouthWest -> 0.950000: (rowAgent'=rowAgent+1) + 0.025000: (rowAgent'=rowAgent+1)&(colAgent'=colAgent+1) + 0.025000: (rowAgent'=rowAgent+1)&(colAgent'=colAgent-1);
+ [Agent_move_South] viewAgent=1 & AgentIsOnSlipperySouth & AgentCannotSlipSouth & !AgentCannotSlipSouthEast & !AgentCannotSlipSouthWest -> 0.000000: (rowAgent'=rowAgent+1)&(colAgent'=colAgent+1) + 0.000000: (rowAgent'=rowAgent+1)&(colAgent'=colAgent-1);
+ [Agent_move_South] viewAgent=1 & AgentIsOnSlipperySouth & !AgentCannotSlipSouth & AgentCannotSlipSouthEast & !AgentCannotSlipSouthWest -> 0.950000: (rowAgent'=rowAgent+1) + 0.050000: (rowAgent'=rowAgent+1)&(colAgent'=colAgent-1);
+ [Agent_move_South] viewAgent=1 & AgentIsOnSlipperySouth & !AgentCannotSlipSouth & !AgentCannotSlipSouthEast & AgentCannotSlipSouthWest -> 0.950000: (rowAgent'=rowAgent+1) + 0.050000: (rowAgent'=rowAgent+1)&(colAgent'=colAgent+1);
+ [Agent_move_South] viewAgent=1 & AgentIsOnSlipperySouth & AgentCannotSlipSouth & AgentCannotSlipSouthEast & !AgentCannotSlipSouthWest -> 1.000000: (rowAgent'=rowAgent+1)&(colAgent'=colAgent-1);
+ [Agent_move_South] viewAgent=1 & AgentIsOnSlipperySouth & !AgentCannotSlipSouth & AgentCannotSlipSouthEast & AgentCannotSlipSouthWest -> 1.000000: (rowAgent'=rowAgent+1);
+ [Agent_move_South] viewAgent=1 & AgentIsOnSlipperySouth & AgentCannotSlipSouth & !AgentCannotSlipSouthEast & AgentCannotSlipSouthWest -> 1.000000: (rowAgent'=rowAgent+1)&(colAgent'=colAgent+1);
+ [Agent_move_South] viewAgent=1 & AgentIsOnSlipperySouth & AgentCannotSlipSouth & AgentCannotSlipSouthEast & AgentCannotSlipSouthWest -> true;
+ [Agent_move_West] viewAgent=2 & AgentIsOnSlipperySouth & !AgentCannotSlipWest & !AgentCannotSlipSouthWest -> 0.950000: (colAgent'=colAgent-1) + 0.050000: (colAgent'=colAgent-1)&(rowAgent'=rowAgent+1);
+ [Agent_move_West] viewAgent=2 & AgentIsOnSlipperySouth & AgentCannotSlipWest & !AgentCannotSlipSouthWest -> 1.000000: (colAgent'=colAgent-1)&(rowAgent'=rowAgent+1);
+ [Agent_move_West] viewAgent=2 & AgentIsOnSlipperySouth & !AgentCannotSlipWest & AgentCannotSlipSouthWest -> 1.000000: (colAgent'=colAgent-1);
+ [Agent_move_West] viewAgent=2 & AgentIsOnSlipperySouth & AgentCannotSlipWest & AgentCannotSlipSouthWest -> true;
+ [Agent_move_East] viewAgent=0 & AgentIsOnSlipperySouth & !AgentCannotSlipEast & !AgentCannotSlipSouthEast -> 0.950000: (colAgent'=colAgent+1) + 0.050000: (colAgent'=colAgent+1)&(rowAgent'=rowAgent+1);
+ [Agent_move_East] viewAgent=0 & AgentIsOnSlipperySouth & AgentCannotSlipEast & !AgentCannotSlipSouthEast -> 1.000000: (colAgent'=colAgent+1)&(rowAgent'=rowAgent+1);
+ [Agent_move_East] viewAgent=0 & AgentIsOnSlipperySouth & !AgentCannotSlipEast & AgentCannotSlipSouthEast -> 1.000000: (colAgent'=colAgent+1);
+ [Agent_move_East] viewAgent=0 & AgentIsOnSlipperySouth & AgentCannotSlipEast & AgentCannotSlipSouthEast -> true;
+ [Agent_move_North] viewAgent=3 & AgentIsOnSlipperySouth & !AgentCannotSlipSouth -> 0.950000: (rowAgent'=rowAgent-1) + 0.050000: true;
+ [Agent_move_North] viewAgent=3 & AgentIsOnSlipperySouth & AgentCannotSlipSouth -> 1.000000: true;
+ [Agent_turn_right] AgentIsOnSlipperySouth & !AgentCannotSlipSouth & true -> 0.950000: (viewAgent'=mod(viewAgent+1,4)) + 0.050000: (rowAgent'=rowAgent+1);
+ [Agent_turn_right] AgentIsOnSlipperySouth & AgentCannotSlipSouth & true -> 1.000000: (viewAgent'=mod(viewAgent+1,4));
+ [Agent_turn_left] AgentIsOnSlipperySouth & !AgentCannotSlipSouth & viewAgent>0 -> 0.950000: (viewAgent'=viewAgent-1) + 0.050000: (rowAgent'=rowAgent+1);
+ [Agent_turn_left] AgentIsOnSlipperySouth & !AgentCannotSlipSouth & viewAgent=0 -> 0.950000: (viewAgent'=3) + 0.050000: (rowAgent'=rowAgent+1);
+ [Agent_turn_left] AgentIsOnSlipperySouth & AgentCannotSlipSouth & viewAgent>0 -> 1.000000: (viewAgent'=viewAgent-1);
+ [Agent_turn_left] AgentIsOnSlipperySouth & AgentCannotSlipSouth & viewAgent=0 -> 1.000000: (viewAgent'=3);
+ [Agent_move_West] viewAgent=2 & AgentIsOnSlipperyWest & !AgentCannotSlipWest & !AgentCannotSlipSouthWest & !AgentCannotSlipNorthWest -> 0.950000: (colAgent'=colAgent-1) + 0.025000: (colAgent'=colAgent-1)&(rowAgent'=rowAgent+1) + 0.025000: (colAgent'=colAgent-1)&(rowAgent'=rowAgent-1);
+ [Agent_move_West] viewAgent=2 & AgentIsOnSlipperyWest & AgentCannotSlipWest & !AgentCannotSlipSouthWest & !AgentCannotSlipNorthWest -> 0.000000: (colAgent'=colAgent-1)&(rowAgent'=rowAgent+1) + 0.000000: (colAgent'=colAgent-1)&(rowAgent'=rowAgent-1);
+ [Agent_move_West] viewAgent=2 & AgentIsOnSlipperyWest & !AgentCannotSlipWest & AgentCannotSlipSouthWest & !AgentCannotSlipNorthWest -> 0.950000: (colAgent'=colAgent-1) + 0.050000: (colAgent'=colAgent-1)&(rowAgent'=rowAgent-1);
+ [Agent_move_West] viewAgent=2 & AgentIsOnSlipperyWest & !AgentCannotSlipWest & !AgentCannotSlipSouthWest & AgentCannotSlipNorthWest -> 0.950000: (colAgent'=colAgent-1) + 0.050000: (colAgent'=colAgent-1)&(rowAgent'=rowAgent+1);
+ [Agent_move_West] viewAgent=2 & AgentIsOnSlipperyWest & AgentCannotSlipWest & AgentCannotSlipSouthWest & !AgentCannotSlipNorthWest -> 1.000000: (colAgent'=colAgent-1)&(rowAgent'=rowAgent-1);
+ [Agent_move_West] viewAgent=2 & AgentIsOnSlipperyWest & !AgentCannotSlipWest & AgentCannotSlipSouthWest & AgentCannotSlipNorthWest -> 1.000000: (colAgent'=colAgent-1);
+ [Agent_move_West] viewAgent=2 & AgentIsOnSlipperyWest & AgentCannotSlipWest & !AgentCannotSlipSouthWest & AgentCannotSlipNorthWest -> 1.000000: (colAgent'=colAgent-1)&(rowAgent'=rowAgent+1);
+ [Agent_move_West] viewAgent=2 & AgentIsOnSlipperyWest & AgentCannotSlipWest & AgentCannotSlipSouthWest & AgentCannotSlipNorthWest -> true;
+ [Agent_move_North] viewAgent=3 & AgentIsOnSlipperyWest & !AgentCannotSlipNorth & !AgentCannotSlipNorthWest -> 0.950000: (rowAgent'=rowAgent-1) + 0.050000: (colAgent'=colAgent-1)&(rowAgent'=rowAgent-1);
+ [Agent_move_North] viewAgent=3 & AgentIsOnSlipperyWest & AgentCannotSlipNorth & !AgentCannotSlipNorthWest -> 1.000000: (colAgent'=colAgent-1)&(rowAgent'=rowAgent-1);
+ [Agent_move_North] viewAgent=3 & AgentIsOnSlipperyWest & !AgentCannotSlipNorth & AgentCannotSlipNorthWest -> 1.000000: (rowAgent'=rowAgent-1);
+ [Agent_move_North] viewAgent=3 & AgentIsOnSlipperyWest & AgentCannotSlipNorth & AgentCannotSlipNorthWest -> true;
+ [Agent_move_South] viewAgent=1 & AgentIsOnSlipperyWest & !AgentCannotSlipSouth & !AgentCannotSlipSouthWest -> 0.950000: (rowAgent'=rowAgent+1) + 0.050000: (colAgent'=colAgent-1)&(rowAgent'=rowAgent+1);
+ [Agent_move_South] viewAgent=1 & AgentIsOnSlipperyWest & AgentCannotSlipSouth & !AgentCannotSlipSouthWest -> 1.000000: (colAgent'=colAgent-1)&(rowAgent'=rowAgent+1);
+ [Agent_move_South] viewAgent=1 & AgentIsOnSlipperyWest & !AgentCannotSlipSouth & AgentCannotSlipSouthWest -> 1.000000: (rowAgent'=rowAgent+1);
+ [Agent_move_South] viewAgent=1 & AgentIsOnSlipperyWest & AgentCannotSlipSouth & AgentCannotSlipSouthWest -> true;
+ [Agent_move_East] viewAgent=0 & AgentIsOnSlipperyWest & !AgentCannotSlipWest -> 0.950000: (colAgent'=colAgent-1) + 0.050000: true;
+ [Agent_move_East] viewAgent=0 & AgentIsOnSlipperyWest & AgentCannotSlipWest -> 1.000000: true;
+ [Agent_turn_right] AgentIsOnSlipperyWest & !AgentCannotSlipWest & true -> 0.950000: (viewAgent'=mod(viewAgent+1,4)) + 0.050000: (colAgent'=colAgent-1);
+ [Agent_turn_right] AgentIsOnSlipperyWest & AgentCannotSlipWest & true -> 1.000000: (viewAgent'=mod(viewAgent+1,4));
+ [Agent_turn_left] AgentIsOnSlipperyWest & !AgentCannotSlipWest & viewAgent>0 -> 0.950000: (viewAgent'=viewAgent-1) + 0.050000: (colAgent'=colAgent-1);
+ [Agent_turn_left] AgentIsOnSlipperyWest & !AgentCannotSlipWest & viewAgent=0 -> 0.950000: (viewAgent'=3) + 0.050000: (colAgent'=colAgent-1);
+ [Agent_turn_left] AgentIsOnSlipperyWest & AgentCannotSlipWest & viewAgent>0 -> 1.000000: (viewAgent'=viewAgent-1);
+ [Agent_turn_left] AgentIsOnSlipperyWest & AgentCannotSlipWest & viewAgent=0 -> 1.000000: (viewAgent'=3);
+ [Agent_move_East] viewAgent=0 & AgentIsOnSlipperyNorthEast & !AgentCannotSlipNorthEast & !AgentCannotSlipEast -> 0.950000: (colAgent'=colAgent+1) + 0.050000: (rowAgent'=rowAgent-1)&(colAgent'=colAgent+1);
+ [Agent_move_East] viewAgent=0 & AgentIsOnSlipperyNorthEast & !AgentCannotSlipNorthEast & AgentCannotSlipEast -> 1.000000: (rowAgent'=rowAgent-1)&(colAgent'=colAgent+1);
+ [Agent_move_East] viewAgent=0 & AgentIsOnSlipperyNorthEast & AgentCannotSlipNorthEast & !AgentCannotSlipEast -> 1.000000: (colAgent'=colAgent+1);
+ [Agent_move_East] viewAgent=0 & AgentIsOnSlipperyNorthEast & AgentCannotSlipNorthEast & AgentCannotSlipEast -> 1.000000: true;
+ [Agent_move_North] viewAgent=3 & AgentIsOnSlipperyNorthEast & !AgentCannotSlipNorthEast & !AgentCannotSlipNorth -> 0.950000: (rowAgent'=rowAgent-1) + 0.050000: (colAgent'=colAgent+1)&(rowAgent'=rowAgent-1);
+ [Agent_move_North] viewAgent=3 & AgentIsOnSlipperyNorthEast & !AgentCannotSlipNorthEast & AgentCannotSlipNorth -> 1.000000: (rowAgent'=rowAgent-1)&(colAgent'=colAgent+1);
+ [Agent_move_North] viewAgent=3 & AgentIsOnSlipperyNorthEast & AgentCannotSlipNorthEast & !AgentCannotSlipNorth -> 1.000000: (rowAgent'=rowAgent-1);
+ [Agent_move_North] viewAgent=3 & AgentIsOnSlipperyNorthEast & AgentCannotSlipNorthEast & AgentCannotSlipNorth -> 1.000000: true;
+ [Agent_move_South] viewAgent=1 & AgentIsOnSlipperyNorthEast & !AgentCannotSlipNorthEast & !AgentCannotSlipEast & !AgentCannotSlipSouthEast & !AgentCannotSlipSouth -> 0.950000: (rowAgent'=rowAgent+1) + 0.016667: (rowAgent'=rowAgent-1)&(colAgent'=colAgent+1) + 0.016667: (colAgent'=colAgent+1) + 0.016667: (rowAgent'=rowAgent+1)&(colAgent'=colAgent+1);
+ [Agent_move_South] viewAgent=1 & AgentIsOnSlipperyNorthEast & !AgentCannotSlipNorthEast & !AgentCannotSlipEast & !AgentCannotSlipSouthEast & AgentCannotSlipSouth -> 0.333333: (rowAgent'=rowAgent-1)&(colAgent'=colAgent+1) + 0.333333: (colAgent'=colAgent+1) + 0.333333: (rowAgent'=rowAgent+1)&(colAgent'=colAgent+1);
+ [Agent_move_South] viewAgent=1 & AgentIsOnSlipperyNorthEast & !AgentCannotSlipNorthEast & !AgentCannotSlipEast & AgentCannotSlipSouthEast & !AgentCannotSlipSouth -> 0.982759: (rowAgent'=rowAgent+1) + 0.050847: (rowAgent'=rowAgent-1)&(colAgent'=colAgent+1) + 0.050847: (colAgent'=colAgent+1);
+ [Agent_move_South] viewAgent=1 & AgentIsOnSlipperyNorthEast & !AgentCannotSlipNorthEast & !AgentCannotSlipEast & AgentCannotSlipSouthEast & AgentCannotSlipSouth -> 0.500000: (rowAgent'=rowAgent-1)&(colAgent'=colAgent+1) + 0.500000: (colAgent'=colAgent+1);
+ [Agent_move_South] viewAgent=1 & AgentIsOnSlipperyNorthEast & !AgentCannotSlipNorthEast & AgentCannotSlipEast & !AgentCannotSlipSouthEast & !AgentCannotSlipSouth -> 0.982759: (rowAgent'=rowAgent+1) + 0.050847: (rowAgent'=rowAgent-1)&(colAgent'=colAgent+1) + 0.050847: (rowAgent'=rowAgent+1)&(colAgent'=colAgent+1);
+ [Agent_move_South] viewAgent=1 & AgentIsOnSlipperyNorthEast & !AgentCannotSlipNorthEast & AgentCannotSlipEast & !AgentCannotSlipSouthEast & AgentCannotSlipSouth -> 0.500000: (rowAgent'=rowAgent-1)&(colAgent'=colAgent+1) + 0.500000: (rowAgent'=rowAgent+1)&(colAgent'=colAgent+1);
+ [Agent_move_South] viewAgent=1 & AgentIsOnSlipperyNorthEast & !AgentCannotSlipNorthEast & AgentCannotSlipEast & AgentCannotSlipSouthEast & !AgentCannotSlipSouth -> 0.982759: (rowAgent'=rowAgent+1) + 0.051724: (rowAgent'=rowAgent-1)&(colAgent'=colAgent+1);
+ [Agent_move_South] viewAgent=1 & AgentIsOnSlipperyNorthEast & !AgentCannotSlipNorthEast & AgentCannotSlipEast & AgentCannotSlipSouthEast & AgentCannotSlipSouth -> 1.000000: (rowAgent'=rowAgent-1)&(colAgent'=colAgent+1);
+ [Agent_move_South] viewAgent=1 & AgentIsOnSlipperyNorthEast & AgentCannotSlipNorthEast & !AgentCannotSlipEast & !AgentCannotSlipSouthEast & !AgentCannotSlipSouth -> 0.982759: (rowAgent'=rowAgent+1) + 0.050847: (colAgent'=colAgent+1) + 0.050847: (rowAgent'=rowAgent+1)&(colAgent'=colAgent+1);
+ [Agent_move_South] viewAgent=1 & AgentIsOnSlipperyNorthEast & AgentCannotSlipNorthEast & !AgentCannotSlipEast & !AgentCannotSlipSouthEast & AgentCannotSlipSouth -> 0.500000: (colAgent'=colAgent+1) + 0.500000: (rowAgent'=rowAgent+1)&(colAgent'=colAgent+1);
+ [Agent_move_South] viewAgent=1 & AgentIsOnSlipperyNorthEast & AgentCannotSlipNorthEast & !AgentCannotSlipEast & AgentCannotSlipSouthEast & !AgentCannotSlipSouth -> 0.982759: (rowAgent'=rowAgent+1) + 0.051724: (colAgent'=colAgent+1);
+ [Agent_move_South] viewAgent=1 & AgentIsOnSlipperyNorthEast & AgentCannotSlipNorthEast & !AgentCannotSlipEast & AgentCannotSlipSouthEast & AgentCannotSlipSouth -> 1.000000: (colAgent'=colAgent+1);
+ [Agent_move_South] viewAgent=1 & AgentIsOnSlipperyNorthEast & AgentCannotSlipNorthEast & AgentCannotSlipEast & !AgentCannotSlipSouthEast & !AgentCannotSlipSouth -> 0.982759: (rowAgent'=rowAgent+1) + 0.051724: (rowAgent'=rowAgent+1)&(colAgent'=colAgent+1);
+ [Agent_move_South] viewAgent=1 & AgentIsOnSlipperyNorthEast & AgentCannotSlipNorthEast & AgentCannotSlipEast & !AgentCannotSlipSouthEast & AgentCannotSlipSouth -> 1.000000: (rowAgent'=rowAgent+1)&(colAgent'=colAgent+1);
+ [Agent_move_South] viewAgent=1 & AgentIsOnSlipperyNorthEast & AgentCannotSlipNorthEast & AgentCannotSlipEast & AgentCannotSlipSouthEast & !AgentCannotSlipSouth -> 1.000000: (rowAgent'=rowAgent+1);
+ [Agent_move_South] viewAgent=1 & AgentIsOnSlipperyNorthEast & AgentCannotSlipNorthEast & AgentCannotSlipEast & AgentCannotSlipSouthEast & AgentCannotSlipSouth -> 1.000000: true;
+ [Agent_move_West] viewAgent=2 & AgentIsOnSlipperyNorthEast & !AgentCannotSlipWest & !AgentCannotSlipNorthWest & !AgentCannotSlipNorth & !AgentCannotSlipNorthEast -> 0.950000: (colAgent'=colAgent-1) + 0.016667: (rowAgent'=rowAgent-1)&(colAgent'=colAgent-1) + 0.016667: (rowAgent'=rowAgent-1) + 0.016667: (rowAgent'=rowAgent-1)&(colAgent'=colAgent+1);
+ [Agent_move_West] viewAgent=2 & AgentIsOnSlipperyNorthEast & !AgentCannotSlipWest & !AgentCannotSlipNorthWest & !AgentCannotSlipNorth & AgentCannotSlipNorthEast -> 0.966102: (colAgent'=colAgent-1) + 0.050847: (rowAgent'=rowAgent-1)&(colAgent'=colAgent-1) + 0.050847: (rowAgent'=rowAgent-1);
+ [Agent_move_West] viewAgent=2 & AgentIsOnSlipperyNorthEast & !AgentCannotSlipWest & !AgentCannotSlipNorthWest & AgentCannotSlipNorth & !AgentCannotSlipNorthEast -> 0.966102: (colAgent'=colAgent-1) + 0.050847: (rowAgent'=rowAgent-1)&(colAgent'=colAgent-1) + 0.050847: (rowAgent'=rowAgent-1)&(colAgent'=colAgent+1);
+ [Agent_move_West] viewAgent=2 & AgentIsOnSlipperyNorthEast & !AgentCannotSlipWest & !AgentCannotSlipNorthWest & AgentCannotSlipNorth & AgentCannotSlipNorthEast -> 0.982759: (colAgent'=colAgent-1) + 0.051724: (rowAgent'=rowAgent-1)&(colAgent'=colAgent-1);
+ [Agent_move_West] viewAgent=2 & AgentIsOnSlipperyNorthEast & !AgentCannotSlipWest & AgentCannotSlipNorthWest & !AgentCannotSlipNorth & !AgentCannotSlipNorthEast -> 0.966102: (colAgent'=colAgent-1) + 0.050847: (rowAgent'=rowAgent-1) + 0.050847: (rowAgent'=rowAgent-1)&(colAgent'=colAgent+1);
+ [Agent_move_West] viewAgent=2 & AgentIsOnSlipperyNorthEast & !AgentCannotSlipWest & AgentCannotSlipNorthWest & !AgentCannotSlipNorth & AgentCannotSlipNorthEast -> 0.982759: (colAgent'=colAgent-1) + 0.051724: (rowAgent'=rowAgent-1);
+ [Agent_move_West] viewAgent=2 & AgentIsOnSlipperyNorthEast & !AgentCannotSlipWest & AgentCannotSlipNorthWest & AgentCannotSlipNorth & !AgentCannotSlipNorthEast -> 0.982759: (colAgent'=colAgent-1) + 0.051724: (rowAgent'=rowAgent-1)&(colAgent'=colAgent+1);
+ [Agent_move_West] viewAgent=2 & AgentIsOnSlipperyNorthEast & !AgentCannotSlipWest & AgentCannotSlipNorthWest & AgentCannotSlipNorth & AgentCannotSlipNorthEast -> 1.000000: (colAgent'=colAgent-1);
+ [Agent_move_West] viewAgent=2 & AgentIsOnSlipperyNorthEast & AgentCannotSlipWest & !AgentCannotSlipNorthWest & !AgentCannotSlipNorth & !AgentCannotSlipNorthEast -> 0.333333: (rowAgent'=rowAgent-1)&(colAgent'=colAgent-1) + 0.333333: (rowAgent'=rowAgent-1) + 0.333333: (rowAgent'=rowAgent-1)&(colAgent'=colAgent+1);
+ [Agent_move_West] viewAgent=2 & AgentIsOnSlipperyNorthEast & AgentCannotSlipWest & !AgentCannotSlipNorthWest & !AgentCannotSlipNorth & AgentCannotSlipNorthEast -> 0.500000: (rowAgent'=rowAgent-1)&(colAgent'=colAgent-1) + 0.500000: (rowAgent'=rowAgent-1);
+ [Agent_move_West] viewAgent=2 & AgentIsOnSlipperyNorthEast & AgentCannotSlipWest & !AgentCannotSlipNorthWest & AgentCannotSlipNorth & !AgentCannotSlipNorthEast -> 0.500000: (rowAgent'=rowAgent-1)&(colAgent'=colAgent-1) + 0.500000: (rowAgent'=rowAgent-1)&(colAgent'=colAgent+1);
+ [Agent_move_West] viewAgent=2 & AgentIsOnSlipperyNorthEast & AgentCannotSlipWest & !AgentCannotSlipNorthWest & AgentCannotSlipNorth & AgentCannotSlipNorthEast -> 1.000000: (rowAgent'=rowAgent-1)&(colAgent'=colAgent-1);
+ [Agent_move_West] viewAgent=2 & AgentIsOnSlipperyNorthEast & AgentCannotSlipWest & AgentCannotSlipNorthWest & !AgentCannotSlipNorth & !AgentCannotSlipNorthEast -> 0.500000: (rowAgent'=rowAgent-1) + 0.500000: (rowAgent'=rowAgent-1)&(colAgent'=colAgent+1);
+ [Agent_move_West] viewAgent=2 & AgentIsOnSlipperyNorthEast & AgentCannotSlipWest & AgentCannotSlipNorthWest & !AgentCannotSlipNorth & AgentCannotSlipNorthEast -> 1.000000: (rowAgent'=rowAgent-1);
+ [Agent_move_West] viewAgent=2 & AgentIsOnSlipperyNorthEast & AgentCannotSlipWest & AgentCannotSlipNorthWest & AgentCannotSlipNorth & !AgentCannotSlipNorthEast -> 1.000000: (rowAgent'=rowAgent-1)&(colAgent'=colAgent+1);
+ [Agent_move_West] viewAgent=2 & AgentIsOnSlipperyNorthEast & AgentCannotSlipWest & AgentCannotSlipNorthWest & AgentCannotSlipNorth & AgentCannotSlipNorthEast -> 1.000000: true;
+ [Agent_turn_right] AgentIsOnSlipperyNorthEast & true & true -> 1.000000: (viewAgent'=mod(viewAgent+1,4));
+ [Agent_turn_left] AgentIsOnSlipperyNorthEast & true & viewAgent>0 -> 1.000000: (viewAgent'=viewAgent-1);
+ [Agent_turn_left] AgentIsOnSlipperyNorthEast & true & viewAgent=0 -> 1.000000: (viewAgent'=3);
+endmodule
+
diff --git a/notebooks/shielding_files_20241129T122429_qyepifjg/grid.txt b/notebooks/shielding_files_20241129T122429_qyepifjg/grid.txt
new file mode 100644
index 0000000..0317ae7
--- /dev/null
+++ b/notebooks/shielding_files_20241129T122429_qyepifjg/grid.txt
@@ -0,0 +1,49 @@
+WGWGWGWGWGWGWGWGWGWGWGWGWGWGWGWGWGWGWGWGWGWGWGWGWGWGWG
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+------------------------------------------------------
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+WGeWeWeWeWeWeWeWeWeWeWeWeWeWeWeWeWbWbWbWbWbWeWeWeWeWWG
+WGeWeWeWeWeWeWeWeWeWeWeWeWeWeWeWeWeWbWbWbWbWbWbWbWbWWG
+WGeWeWeWeWeWeWeWeWeWeWeWeWeWeWeWeWeWeWbWbWbWbWbWbWbWWG
+WGWGWGWGWGWGWGWGWGWGWGWGWGWGWGWGWGWGWGWGWGWGWGWGWGWGWG
+------------------------------------------------------
+------------------------------------------------------
+ProbTurnIntended:0.95
+ProbForwardIntended:0.95
diff --git a/notebooks/shielding_files_20241129T122429_qyepifjg/shield b/notebooks/shielding_files_20241129T122429_qyepifjg/shield
new file mode 100644
index 0000000..2466009
--- /dev/null
+++ b/notebooks/shielding_files_20241129T122429_qyepifjg/shield
@@ -0,0 +1,1578 @@
+___________________________________________________________________
+Pre-Safety-Shield with absolute comparison (gamma = 0.990000):
+ model state: choice(s) [<value>: (<action {action label})>]:
+ 0: [colAgent=1 & rowAgent=1 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1: [colAgent=2 & rowAgent=1 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 2: [colAgent=3 & rowAgent=1 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 3: [colAgent=4 & rowAgent=1 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 4: [colAgent=5 & rowAgent=1 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 5: [colAgent=6 & rowAgent=1 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 6: [colAgent=7 & rowAgent=1 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 7: [colAgent=8 & rowAgent=1 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 8: [colAgent=9 & rowAgent=1 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 9: [colAgent=10 & rowAgent=1 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 10: [colAgent=11 & rowAgent=1 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 11: [colAgent=12 & rowAgent=1 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 12: [colAgent=13 & rowAgent=1 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 13: [colAgent=14 & rowAgent=1 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 14: [colAgent=15 & rowAgent=1 & viewAgent=0] 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 19: [colAgent=20 & rowAgent=1 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 20: [colAgent=21 & rowAgent=1 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 21: [colAgent=22 & rowAgent=1 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 22: [colAgent=23 & rowAgent=1 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 23: [colAgent=24 & rowAgent=1 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 24: [colAgent=25 & rowAgent=1 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 25: [colAgent=2 & rowAgent=2 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 26: [colAgent=3 & rowAgent=2 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 27: [colAgent=4 & rowAgent=2 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 28: [colAgent=5 & rowAgent=2 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 29: [colAgent=6 & rowAgent=2 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 30: [colAgent=7 & rowAgent=2 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 31: [colAgent=8 & rowAgent=2 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 32: [colAgent=9 & rowAgent=2 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 33: [colAgent=10 & rowAgent=2 & viewAgent=0] 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 34: [colAgent=11 & rowAgent=2 & viewAgent=0] 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 35: [colAgent=12 & rowAgent=2 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 36: [colAgent=13 & rowAgent=2 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 37: [colAgent=14 & rowAgent=2 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 38: [colAgent=15 & rowAgent=2 & viewAgent=0] 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 43: [colAgent=20 & rowAgent=2 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 44: [colAgent=21 & rowAgent=2 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 45: [colAgent=22 & rowAgent=2 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 46: [colAgent=23 & rowAgent=2 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 47: [colAgent=24 & rowAgent=2 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 48: [colAgent=25 & rowAgent=2 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 49: [colAgent=2 & rowAgent=3 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 50: [colAgent=3 & rowAgent=3 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 51: [colAgent=4 & rowAgent=3 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 52: [colAgent=5 & rowAgent=3 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 53: [colAgent=6 & rowAgent=3 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 54: [colAgent=7 & rowAgent=3 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 55: [colAgent=8 & rowAgent=3 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 56: [colAgent=9 & rowAgent=3 & viewAgent=0] 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 60: [colAgent=13 & rowAgent=3 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 61: [colAgent=14 & rowAgent=3 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 62: [colAgent=15 & rowAgent=3 & viewAgent=0] 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 63: [colAgent=16 & rowAgent=3 & viewAgent=0] 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 64: [colAgent=17 & rowAgent=3 & viewAgent=0] 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 65: [colAgent=18 & rowAgent=3 & viewAgent=0] 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 66: [colAgent=19 & rowAgent=3 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 67: [colAgent=20 & rowAgent=3 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 68: [colAgent=21 & rowAgent=3 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 69: [colAgent=22 & rowAgent=3 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 70: [colAgent=23 & rowAgent=3 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 71: [colAgent=24 & rowAgent=3 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 72: [colAgent=25 & rowAgent=3 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 73: [colAgent=2 & rowAgent=4 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 74: [colAgent=3 & rowAgent=4 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 75: [colAgent=4 & rowAgent=4 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 76: [colAgent=5 & rowAgent=4 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 77: [colAgent=6 & rowAgent=4 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 78: [colAgent=7 & rowAgent=4 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 79: [colAgent=8 & rowAgent=4 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 80: [colAgent=9 & rowAgent=4 & viewAgent=0] 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 84: [colAgent=13 & rowAgent=4 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 85: [colAgent=14 & rowAgent=4 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 86: [colAgent=15 & rowAgent=4 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 87: [colAgent=16 & rowAgent=4 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 88: [colAgent=17 & rowAgent=4 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 89: [colAgent=18 & rowAgent=4 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 90: [colAgent=19 & rowAgent=4 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 91: [colAgent=20 & rowAgent=4 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 92: [colAgent=21 & rowAgent=4 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 93: [colAgent=22 & rowAgent=4 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 94: [colAgent=23 & rowAgent=4 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 95: [colAgent=24 & rowAgent=4 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 96: [colAgent=25 & rowAgent=4 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 97: [colAgent=2 & rowAgent=5 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 98: [colAgent=3 & rowAgent=5 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 99: [colAgent=4 & rowAgent=5 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 100: [colAgent=5 & rowAgent=5 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 101: [colAgent=6 & rowAgent=5 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 102: [colAgent=7 & rowAgent=5 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 103: [colAgent=8 & rowAgent=5 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 104: [colAgent=9 & rowAgent=5 & viewAgent=0] 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 108: [colAgent=13 & rowAgent=5 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 109: [colAgent=14 & rowAgent=5 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 110: [colAgent=15 & rowAgent=5 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 111: [colAgent=16 & rowAgent=5 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 112: [colAgent=17 & rowAgent=5 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 113: [colAgent=18 & rowAgent=5 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 114: [colAgent=19 & rowAgent=5 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 115: [colAgent=20 & rowAgent=5 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
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+ 1873: [colAgent=13 & rowAgent=1 & viewAgent=1] 1: (0 {Agent_move_South}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1874: [colAgent=13 & rowAgent=1 & viewAgent=3] 1: (0 {Agent_move_North}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1875: [colAgent=14 & rowAgent=1 & viewAgent=1] 1: (0 {Agent_move_South}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1876: [colAgent=14 & rowAgent=1 & viewAgent=3] 1: (0 {Agent_move_North}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1877: [colAgent=15 & rowAgent=1 & viewAgent=1] 1: (0 {Agent_move_South}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1878: [colAgent=15 & rowAgent=1 & viewAgent=3] 1: (0 {Agent_move_North}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1879: [colAgent=20 & rowAgent=1 & viewAgent=1] 1: (0 {Agent_move_South}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1880: [colAgent=20 & rowAgent=1 & viewAgent=3] 1: (0 {Agent_move_North}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1881: [colAgent=21 & rowAgent=1 & viewAgent=1] 1: (0 {Agent_move_South}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1882: [colAgent=21 & rowAgent=1 & viewAgent=3] 1: (0 {Agent_move_North}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1883: [colAgent=22 & rowAgent=1 & viewAgent=1] 1: (0 {Agent_move_South}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1884: [colAgent=22 & rowAgent=1 & viewAgent=3] 1: (0 {Agent_move_North}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1885: [colAgent=23 & rowAgent=1 & viewAgent=1] 1: (0 {Agent_move_South}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1886: [colAgent=23 & rowAgent=1 & viewAgent=3] 1: (0 {Agent_move_North}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1887: [colAgent=24 & rowAgent=1 & viewAgent=1] 1: (0 {Agent_move_South}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1888: [colAgent=24 & rowAgent=1 & viewAgent=3] 1: (0 {Agent_move_North}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1889: [colAgent=25 & rowAgent=1 & viewAgent=1] 1: (0 {Agent_move_South}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1890: [colAgent=25 & rowAgent=1 & viewAgent=3] 1: (0 {Agent_move_North}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1891: [colAgent=1 & rowAgent=2 & viewAgent=2] 1: (0 {Agent_move_West}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1892: [colAgent=1 & rowAgent=1 & viewAgent=2] 1: (0 {Agent_move_West}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1893: [colAgent=2 & rowAgent=1 & viewAgent=2] 1: (0 {Agent_move_West}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1894: [colAgent=3 & rowAgent=1 & viewAgent=2] 1: (0 {Agent_move_West}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1895: [colAgent=4 & rowAgent=1 & viewAgent=2] 1: (0 {Agent_move_West}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1896: [colAgent=5 & rowAgent=1 & viewAgent=2] 1: (0 {Agent_move_West}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1897: [colAgent=6 & rowAgent=1 & viewAgent=2] 1: (0 {Agent_move_West}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1898: [colAgent=7 & rowAgent=1 & viewAgent=2] 1: (0 {Agent_move_West}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1899: [colAgent=8 & rowAgent=1 & viewAgent=2] 1: (0 {Agent_move_West}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1900: [colAgent=9 & rowAgent=1 & viewAgent=2] 1: (0 {Agent_move_West}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1901: [colAgent=10 & rowAgent=1 & viewAgent=2] 1: (0 {Agent_move_West}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1902: [colAgent=12 & rowAgent=1 & viewAgent=2] 1: (0 {Agent_move_West}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1903: [colAgent=13 & rowAgent=1 & viewAgent=2] 1: (0 {Agent_move_West}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1904: [colAgent=14 & rowAgent=1 & viewAgent=2] 1: (0 {Agent_move_West}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1905: [colAgent=15 & rowAgent=1 & viewAgent=2] 1: (0 {Agent_move_West}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1907: [colAgent=20 & rowAgent=1 & viewAgent=2] 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1908: [colAgent=21 & rowAgent=1 & viewAgent=2] 1: (0 {Agent_move_West}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1909: [colAgent=22 & rowAgent=1 & viewAgent=2] 1: (0 {Agent_move_West}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1910: [colAgent=23 & rowAgent=1 & viewAgent=2] 1: (0 {Agent_move_West}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1911: [colAgent=24 & rowAgent=1 & viewAgent=2] 1: (0 {Agent_move_West}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1912: [colAgent=25 & rowAgent=1 & viewAgent=2] 1: (0 {Agent_move_West}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1913: [colAgent=1 & rowAgent=3 & viewAgent=2] 1: (0 {Agent_move_West}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1914: [colAgent=1 & rowAgent=4 & viewAgent=2] 1: (0 {Agent_move_West}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1915: [colAgent=1 & rowAgent=5 & viewAgent=2] 1: (0 {Agent_move_West}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1916: [colAgent=1 & rowAgent=6 & viewAgent=2] 1: (0 {Agent_move_West}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1917: [colAgent=1 & rowAgent=11 & viewAgent=2] 1: (0 {Agent_move_West}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1918: [colAgent=1 & rowAgent=10 & viewAgent=2] 1: (0 {Agent_move_West}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1919: [colAgent=1 & rowAgent=12 & viewAgent=2] 1: (0 {Agent_move_West}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1920: [colAgent=1 & rowAgent=13 & viewAgent=2] 1: (0 {Agent_move_West}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1921: [colAgent=1 & rowAgent=14 & viewAgent=2] 1: (0 {Agent_move_West}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1922: [colAgent=1 & rowAgent=15 & viewAgent=2] 1: (0 {Agent_move_West}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1923: [colAgent=1 & rowAgent=16 & viewAgent=2] 1: (0 {Agent_move_West}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1926: [colAgent=1 & rowAgent=2 & viewAgent=1] 1: (0 {Agent_move_South}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1927: [colAgent=11 & rowAgent=1 & viewAgent=2] 1: (0 {Agent_move_West}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1928: [colAgent=1 & rowAgent=2 & viewAgent=3] 1: (0 {Agent_move_North}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1929: [colAgent=1 & rowAgent=3 & viewAgent=3] 1: (0 {Agent_move_North}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1930: [colAgent=1 & rowAgent=3 & viewAgent=1] 1: (0 {Agent_move_South}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1931: [colAgent=1 & rowAgent=4 & viewAgent=3] 1: (0 {Agent_move_North}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1932: [colAgent=1 & rowAgent=4 & viewAgent=1] 1: (0 {Agent_move_South}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1933: [colAgent=1 & rowAgent=5 & viewAgent=3] 1: (0 {Agent_move_North}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1934: [colAgent=1 & rowAgent=5 & viewAgent=1] 1: (0 {Agent_move_South}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1935: [colAgent=1 & rowAgent=6 & viewAgent=3] 1: (0 {Agent_move_North}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1936: [colAgent=1 & rowAgent=6 & viewAgent=1] 1: (0 {Agent_move_South}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1937: [colAgent=1 & rowAgent=11 & viewAgent=3] 1: (0 {Agent_move_North}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1938: [colAgent=1 & rowAgent=11 & viewAgent=1] 1: (0 {Agent_move_South}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1939: [colAgent=1 & rowAgent=10 & viewAgent=3] 1: (0 {Agent_move_North}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1940: [colAgent=1 & rowAgent=10 & viewAgent=1] 1: (0 {Agent_move_South}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1941: [colAgent=1 & rowAgent=12 & viewAgent=3] 1: (0 {Agent_move_North}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1942: [colAgent=1 & rowAgent=12 & viewAgent=1] 1: (0 {Agent_move_South}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1943: [colAgent=1 & rowAgent=13 & viewAgent=3] 1: (0 {Agent_move_North}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1944: [colAgent=1 & rowAgent=13 & viewAgent=1] 1: (0 {Agent_move_South}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1945: [colAgent=1 & rowAgent=14 & viewAgent=3] 1: (0 {Agent_move_North}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1946: [colAgent=1 & rowAgent=14 & viewAgent=1] 1: (0 {Agent_move_South}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1947: [colAgent=1 & rowAgent=15 & viewAgent=3] 1: (0 {Agent_move_North}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1948: [colAgent=1 & rowAgent=15 & viewAgent=1] 1: (0 {Agent_move_South}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1949: [colAgent=1 & rowAgent=16 & viewAgent=3] 1: (0 {Agent_move_North}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1950: [colAgent=1 & rowAgent=16 & viewAgent=1] 1: (0 {Agent_move_South}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1951: [colAgent=1 & rowAgent=2 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1952: [colAgent=1 & rowAgent=3 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1953: [colAgent=1 & rowAgent=4 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1954: [colAgent=1 & rowAgent=5 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1955: [colAgent=1 & rowAgent=6 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1956: [colAgent=1 & rowAgent=7 & viewAgent=1] 1: (0 {Agent_move_South}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1957: [colAgent=1 & rowAgent=11 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1958: [colAgent=1 & rowAgent=9 & viewAgent=3] 1: (0 {Agent_move_North}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1959: [colAgent=1 & rowAgent=10 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1960: [colAgent=1 & rowAgent=12 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1961: [colAgent=1 & rowAgent=13 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1962: [colAgent=1 & rowAgent=14 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1963: [colAgent=1 & rowAgent=15 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1964: [colAgent=1 & rowAgent=16 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1965: [colAgent=1 & rowAgent=17 & viewAgent=1] 1: (0 {Agent_move_South}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1966: [colAgent=1 & rowAgent=8 & viewAgent=1] 1: (0 {Agent_move_South}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1967: [colAgent=1 & rowAgent=7 & viewAgent=2] 1: (0 {Agent_move_West}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1968: [colAgent=1 & rowAgent=7 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1969: [colAgent=1 & rowAgent=8 & viewAgent=3] 1: (0 {Agent_move_North}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1970: [colAgent=1 & rowAgent=9 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1971: [colAgent=1 & rowAgent=9 & viewAgent=2] 1: (0 {Agent_move_West}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1972: [colAgent=1 & rowAgent=18 & viewAgent=1] 1: (0 {Agent_move_South}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1973: [colAgent=1 & rowAgent=17 & viewAgent=2] 1: (0 {Agent_move_West}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1974: [colAgent=1 & rowAgent=17 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1975: [colAgent=1 & rowAgent=9 & viewAgent=1] 1: (0 {Agent_move_South}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1976: [colAgent=1 & rowAgent=8 & viewAgent=2] 1: (0 {Agent_move_West}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1977: [colAgent=1 & rowAgent=8 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1978: [colAgent=1 & rowAgent=7 & viewAgent=3] 1: (0 {Agent_move_North}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1979: [colAgent=1 & rowAgent=19 & viewAgent=1] 1: (0 {Agent_move_South}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1980: [colAgent=1 & rowAgent=18 & viewAgent=2] 1: (0 {Agent_move_West}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1981: [colAgent=1 & rowAgent=18 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1982: [colAgent=1 & rowAgent=17 & viewAgent=3] 1: (0 {Agent_move_North}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1983: [colAgent=1 & rowAgent=20 & viewAgent=1] 1: (0 {Agent_move_South}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1984: [colAgent=1 & rowAgent=19 & viewAgent=2] 1: (0 {Agent_move_West}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1985: [colAgent=1 & rowAgent=19 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1986: [colAgent=1 & rowAgent=18 & viewAgent=3] 1: (0 {Agent_move_North}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1987: [colAgent=1 & rowAgent=20 & viewAgent=2] 1: (0 {Agent_move_West}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1988: [colAgent=1 & rowAgent=20 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1989: [colAgent=1 & rowAgent=19 & viewAgent=3] 1: (0 {Agent_move_North}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1990: [colAgent=1 & rowAgent=20 & viewAgent=3] 1: (0 {Agent_move_North}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+___________________________________________________________________
diff --git a/notebooks/shielding_files_20241129T122432_3ui3yv2s/grid.prism b/notebooks/shielding_files_20241129T122432_3ui3yv2s/grid.prism
new file mode 100644
index 0000000..d25aadb
--- /dev/null
+++ b/notebooks/shielding_files_20241129T122432_3ui3yv2s/grid.prism
@@ -0,0 +1,183 @@
+mdp
+
+formula AgentCannotMoveEastWall = (colAgent=25&rowAgent=10) | (colAgent=25&rowAgent=14) | (colAgent=25&rowAgent=15) | (colAgent=25&rowAgent=16) | (colAgent=25&rowAgent=17);
+formula AgentCannotMoveNorthWall = (colAgent=16&rowAgent=1) | (colAgent=17&rowAgent=1) | (colAgent=18&rowAgent=1) | (colAgent=19&rowAgent=1);
+formula AgentCannotMoveSouthWall = false;
+formula AgentCannotMoveWestWall = false;
+formula AgentIsOnSlipperyEast = (colAgent=10&rowAgent=2) | (colAgent=11&rowAgent=2) | (colAgent=12&rowAgent=2) | (colAgent=16&rowAgent=3) | (colAgent=17&rowAgent=3) | (colAgent=18&rowAgent=3) | (colAgent=19&rowAgent=3) | (colAgent=16&rowAgent=6) | (colAgent=17&rowAgent=6) | (colAgent=18&rowAgent=6) | (colAgent=19&rowAgent=6) | (colAgent=20&rowAgent=6) | (colAgent=21&rowAgent=6) | (colAgent=22&rowAgent=6) | (colAgent=1&rowAgent=7) | (colAgent=2&rowAgent=7) | (colAgent=3&rowAgent=7) | (colAgent=4&rowAgent=7) | (colAgent=5&rowAgent=7) | (colAgent=6&rowAgent=7) | (colAgent=7&rowAgent=7) | (colAgent=8&rowAgent=7) | (colAgent=9&rowAgent=7) | (colAgent=10&rowAgent=7) | (colAgent=11&rowAgent=7) | (colAgent=1&rowAgent=8) | (colAgent=2&rowAgent=8) | (colAgent=3&rowAgent=8) | (colAgent=4&rowAgent=8) | (colAgent=5&rowAgent=8) | (colAgent=6&rowAgent=8) | (colAgent=7&rowAgent=8) | (colAgent=8&rowAgent=8) | (colAgent=1&rowAgent=9) | (colAgent=2&rowAgent=9) | (colAgent=3&rowAgent=9) | (colAgent=4&rowAgent=9) | (colAgent=5&rowAgent=9) | (colAgent=6&rowAgent=9) | (colAgent=7&rowAgent=9) | (colAgent=8&rowAgent=9) | (colAgent=1&rowAgent=10) | (colAgent=2&rowAgent=10) | (colAgent=3&rowAgent=10) | (colAgent=4&rowAgent=10) | (colAgent=5&rowAgent=10) | (colAgent=6&rowAgent=10) | (colAgent=7&rowAgent=10) | (colAgent=16&rowAgent=12) | (colAgent=17&rowAgent=12) | (colAgent=18&rowAgent=12) | (colAgent=19&rowAgent=12) | (colAgent=20&rowAgent=12) | (colAgent=21&rowAgent=12) | (colAgent=22&rowAgent=13) | (colAgent=23&rowAgent=13) | (colAgent=24&rowAgent=13) | (colAgent=25&rowAgent=13) | (colAgent=1&rowAgent=17) | (colAgent=2&rowAgent=17) | (colAgent=3&rowAgent=17) | (colAgent=4&rowAgent=17) | (colAgent=5&rowAgent=17) | (colAgent=6&rowAgent=17) | (colAgent=7&rowAgent=17) | (colAgent=8&rowAgent=17) | (colAgent=9&rowAgent=17) | (colAgent=10&rowAgent=17) | (colAgent=11&rowAgent=17) | (colAgent=12&rowAgent=17) | (colAgent=13&rowAgent=17) | (colAgent=14&rowAgent=17) | (colAgent=15&rowAgent=17) | (colAgent=1&rowAgent=18) | (colAgent=2&rowAgent=18) | (colAgent=3&rowAgent=18) | (colAgent=4&rowAgent=18) | (colAgent=5&rowAgent=18) | (colAgent=6&rowAgent=18) | (colAgent=7&rowAgent=18) | (colAgent=8&rowAgent=18) | (colAgent=9&rowAgent=18) | (colAgent=10&rowAgent=18) | (colAgent=11&rowAgent=18) | (colAgent=12&rowAgent=18) | (colAgent=13&rowAgent=18) | (colAgent=14&rowAgent=18) | (colAgent=15&rowAgent=18) | (colAgent=16&rowAgent=18) | (colAgent=22&rowAgent=18) | (colAgent=23&rowAgent=18) | (colAgent=24&rowAgent=18) | (colAgent=25&rowAgent=18) | (colAgent=1&rowAgent=19) | (colAgent=2&rowAgent=19) | (colAgent=3&rowAgent=19) | (colAgent=4&rowAgent=19) | (colAgent=5&rowAgent=19) | (colAgent=6&rowAgent=19) | (colAgent=7&rowAgent=19) | (colAgent=8&rowAgent=19) | (colAgent=9&rowAgent=19) | (colAgent=10&rowAgent=19) | (colAgent=11&rowAgent=19) | (colAgent=12&rowAgent=19) | (colAgent=13&rowAgent=19) | (colAgent=14&rowAgent=19) | (colAgent=15&rowAgent=19) | (colAgent=16&rowAgent=19) | (colAgent=17&rowAgent=19) | (colAgent=1&rowAgent=20) | (colAgent=2&rowAgent=20) | (colAgent=3&rowAgent=20) | (colAgent=4&rowAgent=20) | (colAgent=5&rowAgent=20) | (colAgent=6&rowAgent=20) | (colAgent=7&rowAgent=20) | (colAgent=8&rowAgent=20) | (colAgent=9&rowAgent=20) | (colAgent=10&rowAgent=20) | (colAgent=11&rowAgent=20) | (colAgent=12&rowAgent=20) | (colAgent=13&rowAgent=20) | (colAgent=14&rowAgent=20) | (colAgent=15&rowAgent=20) | (colAgent=16&rowAgent=20) | (colAgent=17&rowAgent=20) | (colAgent=18&rowAgent=20);
+formula AgentIsOnSlipperyNorth = (colAgent=15&rowAgent=1) | (colAgent=20&rowAgent=1) | (colAgent=15&rowAgent=2) | (colAgent=20&rowAgent=2) | (colAgent=13&rowAgent=3) | (colAgent=13&rowAgent=4) | (colAgent=13&rowAgent=5) | (colAgent=13&rowAgent=6) | (colAgent=15&rowAgent=7) | (colAgent=24&rowAgent=7) | (colAgent=15&rowAgent=8) | (colAgent=24&rowAgent=8) | (colAgent=15&rowAgent=9) | (colAgent=24&rowAgent=9) | (colAgent=15&rowAgent=10) | (colAgent=24&rowAgent=10) | (colAgent=13&rowAgent=11) | (colAgent=15&rowAgent=11) | (colAgent=24&rowAgent=11) | (colAgent=13&rowAgent=12) | (colAgent=13&rowAgent=13) | (colAgent=13&rowAgent=14) | (colAgent=21&rowAgent=14) | (colAgent=13&rowAgent=15) | (colAgent=21&rowAgent=15) | (colAgent=13&rowAgent=16) | (colAgent=21&rowAgent=16) | (colAgent=21&rowAgent=17);
+formula AgentIsOnSlipperyNorthEast = (colAgent=1&rowAgent=1) | (colAgent=2&rowAgent=1) | (colAgent=3&rowAgent=1) | (colAgent=4&rowAgent=1) | (colAgent=5&rowAgent=1) | (colAgent=6&rowAgent=1) | (colAgent=7&rowAgent=1) | (colAgent=8&rowAgent=1) | (colAgent=9&rowAgent=1) | (colAgent=10&rowAgent=1) | (colAgent=11&rowAgent=1) | (colAgent=12&rowAgent=1) | (colAgent=13&rowAgent=1) | (colAgent=14&rowAgent=1) | (colAgent=21&rowAgent=1) | (colAgent=22&rowAgent=1) | (colAgent=23&rowAgent=1) | (colAgent=24&rowAgent=1) | (colAgent=25&rowAgent=1) | (colAgent=1&rowAgent=2) | (colAgent=2&rowAgent=2) | (colAgent=3&rowAgent=2) | (colAgent=4&rowAgent=2) | (colAgent=5&rowAgent=2) | (colAgent=6&rowAgent=2) | (colAgent=7&rowAgent=2) | (colAgent=8&rowAgent=2) | (colAgent=9&rowAgent=2) | (colAgent=13&rowAgent=2) | (colAgent=14&rowAgent=2) | (colAgent=21&rowAgent=2) | (colAgent=22&rowAgent=2) | (colAgent=23&rowAgent=2) | (colAgent=24&rowAgent=2) | (colAgent=25&rowAgent=2) | (colAgent=1&rowAgent=3) | (colAgent=2&rowAgent=3) | (colAgent=3&rowAgent=3) | (colAgent=4&rowAgent=3) | (colAgent=5&rowAgent=3) | (colAgent=6&rowAgent=3) | (colAgent=7&rowAgent=3) | (colAgent=8&rowAgent=3) | (colAgent=9&rowAgent=3) | (colAgent=14&rowAgent=3) | (colAgent=15&rowAgent=3) | (colAgent=20&rowAgent=3) | (colAgent=21&rowAgent=3) | (colAgent=22&rowAgent=3) | (colAgent=23&rowAgent=3) | (colAgent=24&rowAgent=3) | (colAgent=25&rowAgent=3) | (colAgent=1&rowAgent=4) | (colAgent=2&rowAgent=4) | (colAgent=3&rowAgent=4) | (colAgent=4&rowAgent=4) | (colAgent=5&rowAgent=4) | (colAgent=6&rowAgent=4) | (colAgent=7&rowAgent=4) | (colAgent=8&rowAgent=4) | (colAgent=9&rowAgent=4) | (colAgent=14&rowAgent=4) | (colAgent=15&rowAgent=4) | (colAgent=16&rowAgent=4) | (colAgent=17&rowAgent=4) | (colAgent=18&rowAgent=4) | (colAgent=19&rowAgent=4) | (colAgent=20&rowAgent=4) | (colAgent=21&rowAgent=4) | (colAgent=22&rowAgent=4) | (colAgent=23&rowAgent=4) | (colAgent=24&rowAgent=4) | (colAgent=25&rowAgent=4) | (colAgent=1&rowAgent=5) | (colAgent=2&rowAgent=5) | (colAgent=3&rowAgent=5) | (colAgent=4&rowAgent=5) | (colAgent=5&rowAgent=5) | (colAgent=6&rowAgent=5) | (colAgent=7&rowAgent=5) | (colAgent=8&rowAgent=5) | (colAgent=9&rowAgent=5) | (colAgent=14&rowAgent=5) | (colAgent=15&rowAgent=5) | (colAgent=16&rowAgent=5) | (colAgent=17&rowAgent=5) | (colAgent=18&rowAgent=5) | (colAgent=19&rowAgent=5) | (colAgent=20&rowAgent=5) | (colAgent=21&rowAgent=5) | (colAgent=22&rowAgent=5) | (colAgent=23&rowAgent=5) | (colAgent=24&rowAgent=5) | (colAgent=25&rowAgent=5) | (colAgent=1&rowAgent=6) | (colAgent=2&rowAgent=6) | (colAgent=3&rowAgent=6) | (colAgent=4&rowAgent=6) | (colAgent=5&rowAgent=6) | (colAgent=6&rowAgent=6) | (colAgent=7&rowAgent=6) | (colAgent=8&rowAgent=6) | (colAgent=9&rowAgent=6) | (colAgent=14&rowAgent=6) | (colAgent=15&rowAgent=6) | (colAgent=23&rowAgent=6) | (colAgent=24&rowAgent=6) | (colAgent=25&rowAgent=6) | (colAgent=13&rowAgent=7) | (colAgent=14&rowAgent=7) | (colAgent=25&rowAgent=7) | (colAgent=9&rowAgent=8) | (colAgent=10&rowAgent=8) | (colAgent=11&rowAgent=8) | (colAgent=13&rowAgent=8) | (colAgent=14&rowAgent=8) | (colAgent=25&rowAgent=8) | (colAgent=9&rowAgent=9) | (colAgent=13&rowAgent=9) | (colAgent=14&rowAgent=9) | (colAgent=25&rowAgent=9) | (colAgent=8&rowAgent=10) | (colAgent=13&rowAgent=10) | (colAgent=14&rowAgent=10) | (colAgent=1&rowAgent=11) | (colAgent=2&rowAgent=11) | (colAgent=3&rowAgent=11) | (colAgent=4&rowAgent=11) | (colAgent=5&rowAgent=11) | (colAgent=6&rowAgent=11) | (colAgent=7&rowAgent=11) | (colAgent=14&rowAgent=11) | (colAgent=25&rowAgent=11) | (colAgent=1&rowAgent=12) | (colAgent=2&rowAgent=12) | (colAgent=3&rowAgent=12) | (colAgent=4&rowAgent=12) | (colAgent=5&rowAgent=12) | (colAgent=6&rowAgent=12) | (colAgent=7&rowAgent=12) | (colAgent=14&rowAgent=12) | (colAgent=15&rowAgent=12) | (colAgent=22&rowAgent=12) | (colAgent=23&rowAgent=12) | (colAgent=24&rowAgent=12) | (colAgent=25&rowAgent=12) | (colAgent=1&rowAgent=13) | (colAgent=2&rowAgent=13) | (colAgent=3&rowAgent=13) | (colAgent=4&rowAgent=13) | (colAgent=5&rowAgent=13) | (colAgent=6&rowAgent=13) | (colAgent=7&rowAgent=13) | (colAgent=14&rowAgent=13) | (colAgent=15&rowAgent=13) | (colAgent=16&rowAgent=13) | (colAgent=17&rowAgent=13) | (colAgent=18&rowAgent=13) | (colAgent=19&rowAgent=13) | (colAgent=20&rowAgent=13) | (colAgent=21&rowAgent=13) | (colAgent=1&rowAgent=14) | (colAgent=2&rowAgent=14) | (colAgent=3&rowAgent=14) | (colAgent=4&rowAgent=14) | (colAgent=5&rowAgent=14) | (colAgent=6&rowAgent=14) | (colAgent=7&rowAgent=14) | (colAgent=14&rowAgent=14) | (colAgent=15&rowAgent=14) | (colAgent=16&rowAgent=14) | (colAgent=17&rowAgent=14) | (colAgent=18&rowAgent=14) | (colAgent=19&rowAgent=14) | (colAgent=20&rowAgent=14) | (colAgent=1&rowAgent=15) | (colAgent=2&rowAgent=15) | (colAgent=3&rowAgent=15) | (colAgent=4&rowAgent=15) | (colAgent=5&rowAgent=15) | (colAgent=6&rowAgent=15) | (colAgent=7&rowAgent=15) | (colAgent=14&rowAgent=15) | (colAgent=15&rowAgent=15) | (colAgent=16&rowAgent=15) | (colAgent=17&rowAgent=15) | (colAgent=18&rowAgent=15) | (colAgent=19&rowAgent=15) | (colAgent=20&rowAgent=15) | (colAgent=1&rowAgent=16) | (colAgent=2&rowAgent=16) | (colAgent=3&rowAgent=16) | (colAgent=4&rowAgent=16) | (colAgent=5&rowAgent=16) | (colAgent=6&rowAgent=16) | (colAgent=7&rowAgent=16) | (colAgent=14&rowAgent=16) | (colAgent=15&rowAgent=16) | (colAgent=16&rowAgent=16) | (colAgent=17&rowAgent=16) | (colAgent=18&rowAgent=16) | (colAgent=19&rowAgent=16) | (colAgent=20&rowAgent=16) | (colAgent=16&rowAgent=17) | (colAgent=17&rowAgent=17) | (colAgent=18&rowAgent=17) | (colAgent=19&rowAgent=17) | (colAgent=20&rowAgent=17) | (colAgent=17&rowAgent=18) | (colAgent=18&rowAgent=18) | (colAgent=19&rowAgent=18) | (colAgent=20&rowAgent=18) | (colAgent=21&rowAgent=18) | (colAgent=18&rowAgent=19) | (colAgent=19&rowAgent=19) | (colAgent=20&rowAgent=19) | (colAgent=21&rowAgent=19) | (colAgent=22&rowAgent=19) | (colAgent=23&rowAgent=19) | (colAgent=24&rowAgent=19) | (colAgent=25&rowAgent=19) | (colAgent=19&rowAgent=20) | (colAgent=20&rowAgent=20) | (colAgent=21&rowAgent=20) | (colAgent=22&rowAgent=20) | (colAgent=23&rowAgent=20) | (colAgent=24&rowAgent=20) | (colAgent=25&rowAgent=20);
+formula AgentIsOnSlipperyNorthWest = false;
+formula AgentIsOnSlipperySouth = (colAgent=12&rowAgent=7) | (colAgent=12&rowAgent=8) | (colAgent=12&rowAgent=9) | (colAgent=12&rowAgent=10);
+formula AgentIsOnSlipperySouthEast = false;
+formula AgentIsOnSlipperySouthWest = false;
+formula AgentIsOnSlipperyWest = (colAgent=10&rowAgent=9) | (colAgent=11&rowAgent=9) | (colAgent=9&rowAgent=10) | (colAgent=10&rowAgent=10) | (colAgent=11&rowAgent=10);
+formula AgentIsOnSlippery = AgentIsOnSlipperyEast | AgentIsOnSlipperyNorth | AgentIsOnSlipperyNorthEast | AgentIsOnSlipperyNorthWest | AgentIsOnSlipperySouth | AgentIsOnSlipperySouthEast | AgentIsOnSlipperySouthWest | AgentIsOnSlipperyWest;
+formula AgentCannotSlipEast = (colAgent+1=0&rowAgent=0) | (colAgent+1=1&rowAgent=0) | (colAgent+1=2&rowAgent=0) | (colAgent+1=3&rowAgent=0) | (colAgent+1=4&rowAgent=0) | (colAgent+1=5&rowAgent=0) | (colAgent+1=6&rowAgent=0) | (colAgent+1=7&rowAgent=0) | (colAgent+1=8&rowAgent=0) | (colAgent+1=9&rowAgent=0) | (colAgent+1=10&rowAgent=0) | (colAgent+1=11&rowAgent=0) | (colAgent+1=12&rowAgent=0) | (colAgent+1=13&rowAgent=0) | (colAgent+1=14&rowAgent=0) | (colAgent+1=15&rowAgent=0) | (colAgent+1=16&rowAgent=0) | (colAgent+1=17&rowAgent=0) | (colAgent+1=18&rowAgent=0) | (colAgent+1=19&rowAgent=0) | (colAgent+1=20&rowAgent=0) | (colAgent+1=21&rowAgent=0) | (colAgent+1=22&rowAgent=0) | (colAgent+1=23&rowAgent=0) | (colAgent+1=24&rowAgent=0) | (colAgent+1=25&rowAgent=0) | (colAgent+1=26&rowAgent=0) | (colAgent+1=0&rowAgent=1) | (colAgent+1=26&rowAgent=1) | (colAgent+1=0&rowAgent=2) | (colAgent+1=26&rowAgent=2) | (colAgent+1=0&rowAgent=3) | (colAgent+1=26&rowAgent=3) | (colAgent+1=0&rowAgent=4) | (colAgent+1=26&rowAgent=4) | (colAgent+1=0&rowAgent=5) | (colAgent+1=26&rowAgent=5) | (colAgent+1=0&rowAgent=6) | (colAgent+1=26&rowAgent=6) | (colAgent+1=0&rowAgent=7) | (colAgent+1=26&rowAgent=7) | (colAgent+1=0&rowAgent=8) | (colAgent+1=26&rowAgent=8) | (colAgent+1=0&rowAgent=9) | (colAgent+1=26&rowAgent=9) | (colAgent+1=0&rowAgent=10) | (colAgent+1=26&rowAgent=10) | (colAgent+1=0&rowAgent=11) | (colAgent+1=26&rowAgent=11) | (colAgent+1=0&rowAgent=12) | (colAgent+1=26&rowAgent=12) | (colAgent+1=0&rowAgent=13) | (colAgent+1=26&rowAgent=13) | (colAgent+1=0&rowAgent=14) | (colAgent+1=26&rowAgent=14) | (colAgent+1=0&rowAgent=15) | (colAgent+1=26&rowAgent=15) | (colAgent+1=0&rowAgent=16) | (colAgent+1=26&rowAgent=16) | (colAgent+1=0&rowAgent=17) | (colAgent+1=26&rowAgent=17) | (colAgent+1=0&rowAgent=18) | (colAgent+1=26&rowAgent=18) | (colAgent+1=0&rowAgent=19) | (colAgent+1=26&rowAgent=19) | (colAgent+1=0&rowAgent=20) | (colAgent+1=26&rowAgent=20) | (colAgent+1=0&rowAgent=21) | (colAgent+1=1&rowAgent=21) | (colAgent+1=2&rowAgent=21) | (colAgent+1=3&rowAgent=21) | (colAgent+1=4&rowAgent=21) | (colAgent+1=5&rowAgent=21) | (colAgent+1=6&rowAgent=21) | (colAgent+1=7&rowAgent=21) | (colAgent+1=8&rowAgent=21) | (colAgent+1=9&rowAgent=21) | (colAgent+1=10&rowAgent=21) | (colAgent+1=11&rowAgent=21) | (colAgent+1=12&rowAgent=21) | (colAgent+1=13&rowAgent=21) | (colAgent+1=14&rowAgent=21) | (colAgent+1=15&rowAgent=21) | (colAgent+1=16&rowAgent=21) | (colAgent+1=17&rowAgent=21) | (colAgent+1=18&rowAgent=21) | (colAgent+1=19&rowAgent=21) | (colAgent+1=20&rowAgent=21) | (colAgent+1=21&rowAgent=21) | (colAgent+1=22&rowAgent=21) | (colAgent+1=23&rowAgent=21) | (colAgent+1=24&rowAgent=21) | (colAgent+1=25&rowAgent=21) | (colAgent+1=26&rowAgent=21);
+formula AgentCannotSlipNorth = (colAgent=0&rowAgent-1=0) | (colAgent=1&rowAgent-1=0) | (colAgent=2&rowAgent-1=0) | (colAgent=3&rowAgent-1=0) | (colAgent=4&rowAgent-1=0) | (colAgent=5&rowAgent-1=0) | (colAgent=6&rowAgent-1=0) | (colAgent=7&rowAgent-1=0) | (colAgent=8&rowAgent-1=0) | (colAgent=9&rowAgent-1=0) | (colAgent=10&rowAgent-1=0) | (colAgent=11&rowAgent-1=0) | (colAgent=12&rowAgent-1=0) | (colAgent=13&rowAgent-1=0) | (colAgent=14&rowAgent-1=0) | (colAgent=15&rowAgent-1=0) | (colAgent=16&rowAgent-1=0) | (colAgent=17&rowAgent-1=0) | (colAgent=18&rowAgent-1=0) | (colAgent=19&rowAgent-1=0) | (colAgent=20&rowAgent-1=0) | (colAgent=21&rowAgent-1=0) | (colAgent=22&rowAgent-1=0) | (colAgent=23&rowAgent-1=0) | (colAgent=24&rowAgent-1=0) | (colAgent=25&rowAgent-1=0) | (colAgent=26&rowAgent-1=0) | (colAgent=0&rowAgent-1=1) | (colAgent=26&rowAgent-1=1) | (colAgent=0&rowAgent-1=2) | (colAgent=26&rowAgent-1=2) | (colAgent=0&rowAgent-1=3) | (colAgent=26&rowAgent-1=3) | (colAgent=0&rowAgent-1=4) | (colAgent=26&rowAgent-1=4) | (colAgent=0&rowAgent-1=5) | (colAgent=26&rowAgent-1=5) | (colAgent=0&rowAgent-1=6) | (colAgent=26&rowAgent-1=6) | (colAgent=0&rowAgent-1=7) | (colAgent=26&rowAgent-1=7) | (colAgent=0&rowAgent-1=8) | (colAgent=26&rowAgent-1=8) | (colAgent=0&rowAgent-1=9) | (colAgent=26&rowAgent-1=9) | (colAgent=0&rowAgent-1=10) | (colAgent=26&rowAgent-1=10) | (colAgent=0&rowAgent-1=11) | (colAgent=26&rowAgent-1=11) | (colAgent=0&rowAgent-1=12) | (colAgent=26&rowAgent-1=12) | (colAgent=0&rowAgent-1=13) | (colAgent=26&rowAgent-1=13) | (colAgent=0&rowAgent-1=14) | (colAgent=26&rowAgent-1=14) | (colAgent=0&rowAgent-1=15) | (colAgent=26&rowAgent-1=15) | (colAgent=0&rowAgent-1=16) | (colAgent=26&rowAgent-1=16) | (colAgent=0&rowAgent-1=17) | (colAgent=26&rowAgent-1=17) | (colAgent=0&rowAgent-1=18) | (colAgent=26&rowAgent-1=18) | (colAgent=0&rowAgent-1=19) | (colAgent=26&rowAgent-1=19) | (colAgent=0&rowAgent-1=20) | (colAgent=26&rowAgent-1=20) | (colAgent=0&rowAgent-1=21) | (colAgent=1&rowAgent-1=21) | (colAgent=2&rowAgent-1=21) | (colAgent=3&rowAgent-1=21) | (colAgent=4&rowAgent-1=21) | (colAgent=5&rowAgent-1=21) | (colAgent=6&rowAgent-1=21) | (colAgent=7&rowAgent-1=21) | (colAgent=8&rowAgent-1=21) | (colAgent=9&rowAgent-1=21) | (colAgent=10&rowAgent-1=21) | (colAgent=11&rowAgent-1=21) | (colAgent=12&rowAgent-1=21) | (colAgent=13&rowAgent-1=21) | (colAgent=14&rowAgent-1=21) | (colAgent=15&rowAgent-1=21) | (colAgent=16&rowAgent-1=21) | (colAgent=17&rowAgent-1=21) | (colAgent=18&rowAgent-1=21) | (colAgent=19&rowAgent-1=21) | (colAgent=20&rowAgent-1=21) | (colAgent=21&rowAgent-1=21) | (colAgent=22&rowAgent-1=21) | (colAgent=23&rowAgent-1=21) | (colAgent=24&rowAgent-1=21) | (colAgent=25&rowAgent-1=21) | (colAgent=26&rowAgent-1=21);
+formula AgentCannotSlipNorthEast = (colAgent+1=0&rowAgent-1=0) | (colAgent+1=1&rowAgent-1=0) | (colAgent+1=2&rowAgent-1=0) | (colAgent+1=3&rowAgent-1=0) | (colAgent+1=4&rowAgent-1=0) | (colAgent+1=5&rowAgent-1=0) | (colAgent+1=6&rowAgent-1=0) | (colAgent+1=7&rowAgent-1=0) | (colAgent+1=8&rowAgent-1=0) | (colAgent+1=9&rowAgent-1=0) | (colAgent+1=10&rowAgent-1=0) | (colAgent+1=11&rowAgent-1=0) | (colAgent+1=12&rowAgent-1=0) | (colAgent+1=13&rowAgent-1=0) | (colAgent+1=14&rowAgent-1=0) | (colAgent+1=15&rowAgent-1=0) | (colAgent+1=16&rowAgent-1=0) | (colAgent+1=17&rowAgent-1=0) | (colAgent+1=18&rowAgent-1=0) | (colAgent+1=19&rowAgent-1=0) | (colAgent+1=20&rowAgent-1=0) | (colAgent+1=21&rowAgent-1=0) | (colAgent+1=22&rowAgent-1=0) | (colAgent+1=23&rowAgent-1=0) | (colAgent+1=24&rowAgent-1=0) | (colAgent+1=25&rowAgent-1=0) | (colAgent+1=26&rowAgent-1=0) | (colAgent+1=0&rowAgent-1=1) | (colAgent+1=26&rowAgent-1=1) | (colAgent+1=0&rowAgent-1=2) | (colAgent+1=26&rowAgent-1=2) | (colAgent+1=0&rowAgent-1=3) | (colAgent+1=26&rowAgent-1=3) | (colAgent+1=0&rowAgent-1=4) | (colAgent+1=26&rowAgent-1=4) | (colAgent+1=0&rowAgent-1=5) | (colAgent+1=26&rowAgent-1=5) | (colAgent+1=0&rowAgent-1=6) | (colAgent+1=26&rowAgent-1=6) | (colAgent+1=0&rowAgent-1=7) | (colAgent+1=26&rowAgent-1=7) | (colAgent+1=0&rowAgent-1=8) | (colAgent+1=26&rowAgent-1=8) | (colAgent+1=0&rowAgent-1=9) | (colAgent+1=26&rowAgent-1=9) | (colAgent+1=0&rowAgent-1=10) | (colAgent+1=26&rowAgent-1=10) | (colAgent+1=0&rowAgent-1=11) | (colAgent+1=26&rowAgent-1=11) | (colAgent+1=0&rowAgent-1=12) | (colAgent+1=26&rowAgent-1=12) | (colAgent+1=0&rowAgent-1=13) | (colAgent+1=26&rowAgent-1=13) | (colAgent+1=0&rowAgent-1=14) | (colAgent+1=26&rowAgent-1=14) | (colAgent+1=0&rowAgent-1=15) | (colAgent+1=26&rowAgent-1=15) | (colAgent+1=0&rowAgent-1=16) | (colAgent+1=26&rowAgent-1=16) | (colAgent+1=0&rowAgent-1=17) | (colAgent+1=26&rowAgent-1=17) | (colAgent+1=0&rowAgent-1=18) | (colAgent+1=26&rowAgent-1=18) | (colAgent+1=0&rowAgent-1=19) | (colAgent+1=26&rowAgent-1=19) | (colAgent+1=0&rowAgent-1=20) | (colAgent+1=26&rowAgent-1=20) | (colAgent+1=0&rowAgent-1=21) | (colAgent+1=1&rowAgent-1=21) | (colAgent+1=2&rowAgent-1=21) | (colAgent+1=3&rowAgent-1=21) | (colAgent+1=4&rowAgent-1=21) | (colAgent+1=5&rowAgent-1=21) | (colAgent+1=6&rowAgent-1=21) | (colAgent+1=7&rowAgent-1=21) | (colAgent+1=8&rowAgent-1=21) | (colAgent+1=9&rowAgent-1=21) | (colAgent+1=10&rowAgent-1=21) | (colAgent+1=11&rowAgent-1=21) | (colAgent+1=12&rowAgent-1=21) | (colAgent+1=13&rowAgent-1=21) | (colAgent+1=14&rowAgent-1=21) | (colAgent+1=15&rowAgent-1=21) | (colAgent+1=16&rowAgent-1=21) | (colAgent+1=17&rowAgent-1=21) | (colAgent+1=18&rowAgent-1=21) | (colAgent+1=19&rowAgent-1=21) | (colAgent+1=20&rowAgent-1=21) | (colAgent+1=21&rowAgent-1=21) | (colAgent+1=22&rowAgent-1=21) | (colAgent+1=23&rowAgent-1=21) | (colAgent+1=24&rowAgent-1=21) | (colAgent+1=25&rowAgent-1=21) | (colAgent+1=26&rowAgent-1=21);
+formula AgentCannotSlipNorthWest = (colAgent-1=0&rowAgent-1=0) | (colAgent-1=1&rowAgent-1=0) | (colAgent-1=2&rowAgent-1=0) | (colAgent-1=3&rowAgent-1=0) | (colAgent-1=4&rowAgent-1=0) | (colAgent-1=5&rowAgent-1=0) | (colAgent-1=6&rowAgent-1=0) | (colAgent-1=7&rowAgent-1=0) | (colAgent-1=8&rowAgent-1=0) | (colAgent-1=9&rowAgent-1=0) | (colAgent-1=10&rowAgent-1=0) | (colAgent-1=11&rowAgent-1=0) | (colAgent-1=12&rowAgent-1=0) | (colAgent-1=13&rowAgent-1=0) | (colAgent-1=14&rowAgent-1=0) | (colAgent-1=15&rowAgent-1=0) | (colAgent-1=16&rowAgent-1=0) | (colAgent-1=17&rowAgent-1=0) | (colAgent-1=18&rowAgent-1=0) | (colAgent-1=19&rowAgent-1=0) | (colAgent-1=20&rowAgent-1=0) | (colAgent-1=21&rowAgent-1=0) | (colAgent-1=22&rowAgent-1=0) | (colAgent-1=23&rowAgent-1=0) | (colAgent-1=24&rowAgent-1=0) | (colAgent-1=25&rowAgent-1=0) | (colAgent-1=26&rowAgent-1=0) | (colAgent-1=0&rowAgent-1=1) | (colAgent-1=26&rowAgent-1=1) | (colAgent-1=0&rowAgent-1=2) | (colAgent-1=26&rowAgent-1=2) | (colAgent-1=0&rowAgent-1=3) | (colAgent-1=26&rowAgent-1=3) | (colAgent-1=0&rowAgent-1=4) | (colAgent-1=26&rowAgent-1=4) | (colAgent-1=0&rowAgent-1=5) | (colAgent-1=26&rowAgent-1=5) | (colAgent-1=0&rowAgent-1=6) | (colAgent-1=26&rowAgent-1=6) | (colAgent-1=0&rowAgent-1=7) | (colAgent-1=26&rowAgent-1=7) | (colAgent-1=0&rowAgent-1=8) | (colAgent-1=26&rowAgent-1=8) | (colAgent-1=0&rowAgent-1=9) | (colAgent-1=26&rowAgent-1=9) | (colAgent-1=0&rowAgent-1=10) | (colAgent-1=26&rowAgent-1=10) | (colAgent-1=0&rowAgent-1=11) | (colAgent-1=26&rowAgent-1=11) | (colAgent-1=0&rowAgent-1=12) | (colAgent-1=26&rowAgent-1=12) | (colAgent-1=0&rowAgent-1=13) | (colAgent-1=26&rowAgent-1=13) | (colAgent-1=0&rowAgent-1=14) | (colAgent-1=26&rowAgent-1=14) | (colAgent-1=0&rowAgent-1=15) | (colAgent-1=26&rowAgent-1=15) | (colAgent-1=0&rowAgent-1=16) | (colAgent-1=26&rowAgent-1=16) | (colAgent-1=0&rowAgent-1=17) | (colAgent-1=26&rowAgent-1=17) | (colAgent-1=0&rowAgent-1=18) | (colAgent-1=26&rowAgent-1=18) | (colAgent-1=0&rowAgent-1=19) | (colAgent-1=26&rowAgent-1=19) | (colAgent-1=0&rowAgent-1=20) | (colAgent-1=26&rowAgent-1=20) | (colAgent-1=0&rowAgent-1=21) | (colAgent-1=1&rowAgent-1=21) | (colAgent-1=2&rowAgent-1=21) | (colAgent-1=3&rowAgent-1=21) | (colAgent-1=4&rowAgent-1=21) | (colAgent-1=5&rowAgent-1=21) | (colAgent-1=6&rowAgent-1=21) | (colAgent-1=7&rowAgent-1=21) | (colAgent-1=8&rowAgent-1=21) | (colAgent-1=9&rowAgent-1=21) | (colAgent-1=10&rowAgent-1=21) | (colAgent-1=11&rowAgent-1=21) | (colAgent-1=12&rowAgent-1=21) | (colAgent-1=13&rowAgent-1=21) | (colAgent-1=14&rowAgent-1=21) | (colAgent-1=15&rowAgent-1=21) | (colAgent-1=16&rowAgent-1=21) | (colAgent-1=17&rowAgent-1=21) | (colAgent-1=18&rowAgent-1=21) | (colAgent-1=19&rowAgent-1=21) | (colAgent-1=20&rowAgent-1=21) | (colAgent-1=21&rowAgent-1=21) | (colAgent-1=22&rowAgent-1=21) | (colAgent-1=23&rowAgent-1=21) | (colAgent-1=24&rowAgent-1=21) | (colAgent-1=25&rowAgent-1=21) | (colAgent-1=26&rowAgent-1=21);
+formula AgentCannotSlipSouth = (colAgent=0&rowAgent+1=0) | (colAgent=1&rowAgent+1=0) | (colAgent=2&rowAgent+1=0) | (colAgent=3&rowAgent+1=0) | (colAgent=4&rowAgent+1=0) | (colAgent=5&rowAgent+1=0) | (colAgent=6&rowAgent+1=0) | (colAgent=7&rowAgent+1=0) | (colAgent=8&rowAgent+1=0) | (colAgent=9&rowAgent+1=0) | (colAgent=10&rowAgent+1=0) | (colAgent=11&rowAgent+1=0) | (colAgent=12&rowAgent+1=0) | (colAgent=13&rowAgent+1=0) | (colAgent=14&rowAgent+1=0) | (colAgent=15&rowAgent+1=0) | (colAgent=16&rowAgent+1=0) | (colAgent=17&rowAgent+1=0) | (colAgent=18&rowAgent+1=0) | (colAgent=19&rowAgent+1=0) | (colAgent=20&rowAgent+1=0) | (colAgent=21&rowAgent+1=0) | (colAgent=22&rowAgent+1=0) | (colAgent=23&rowAgent+1=0) | (colAgent=24&rowAgent+1=0) | (colAgent=25&rowAgent+1=0) | (colAgent=26&rowAgent+1=0) | (colAgent=0&rowAgent+1=1) | (colAgent=26&rowAgent+1=1) | (colAgent=0&rowAgent+1=2) | (colAgent=26&rowAgent+1=2) | (colAgent=0&rowAgent+1=3) | (colAgent=26&rowAgent+1=3) | (colAgent=0&rowAgent+1=4) | (colAgent=26&rowAgent+1=4) | (colAgent=0&rowAgent+1=5) | (colAgent=26&rowAgent+1=5) | (colAgent=0&rowAgent+1=6) | (colAgent=26&rowAgent+1=6) | (colAgent=0&rowAgent+1=7) | (colAgent=26&rowAgent+1=7) | (colAgent=0&rowAgent+1=8) | (colAgent=26&rowAgent+1=8) | (colAgent=0&rowAgent+1=9) | (colAgent=26&rowAgent+1=9) | (colAgent=0&rowAgent+1=10) | (colAgent=26&rowAgent+1=10) | (colAgent=0&rowAgent+1=11) | (colAgent=26&rowAgent+1=11) | (colAgent=0&rowAgent+1=12) | (colAgent=26&rowAgent+1=12) | (colAgent=0&rowAgent+1=13) | (colAgent=26&rowAgent+1=13) | (colAgent=0&rowAgent+1=14) | (colAgent=26&rowAgent+1=14) | (colAgent=0&rowAgent+1=15) | (colAgent=26&rowAgent+1=15) | (colAgent=0&rowAgent+1=16) | (colAgent=26&rowAgent+1=16) | (colAgent=0&rowAgent+1=17) | (colAgent=26&rowAgent+1=17) | (colAgent=0&rowAgent+1=18) | (colAgent=26&rowAgent+1=18) | (colAgent=0&rowAgent+1=19) | (colAgent=26&rowAgent+1=19) | (colAgent=0&rowAgent+1=20) | (colAgent=26&rowAgent+1=20) | (colAgent=0&rowAgent+1=21) | (colAgent=1&rowAgent+1=21) | (colAgent=2&rowAgent+1=21) | (colAgent=3&rowAgent+1=21) | (colAgent=4&rowAgent+1=21) | (colAgent=5&rowAgent+1=21) | (colAgent=6&rowAgent+1=21) | (colAgent=7&rowAgent+1=21) | (colAgent=8&rowAgent+1=21) | (colAgent=9&rowAgent+1=21) | (colAgent=10&rowAgent+1=21) | (colAgent=11&rowAgent+1=21) | (colAgent=12&rowAgent+1=21) | (colAgent=13&rowAgent+1=21) | (colAgent=14&rowAgent+1=21) | (colAgent=15&rowAgent+1=21) | (colAgent=16&rowAgent+1=21) | (colAgent=17&rowAgent+1=21) | (colAgent=18&rowAgent+1=21) | (colAgent=19&rowAgent+1=21) | (colAgent=20&rowAgent+1=21) | (colAgent=21&rowAgent+1=21) | (colAgent=22&rowAgent+1=21) | (colAgent=23&rowAgent+1=21) | (colAgent=24&rowAgent+1=21) | (colAgent=25&rowAgent+1=21) | (colAgent=26&rowAgent+1=21);
+formula AgentCannotSlipSouthEast = (colAgent+1=0&rowAgent+1=0) | (colAgent+1=1&rowAgent+1=0) | (colAgent+1=2&rowAgent+1=0) | (colAgent+1=3&rowAgent+1=0) | (colAgent+1=4&rowAgent+1=0) | (colAgent+1=5&rowAgent+1=0) | (colAgent+1=6&rowAgent+1=0) | (colAgent+1=7&rowAgent+1=0) | (colAgent+1=8&rowAgent+1=0) | (colAgent+1=9&rowAgent+1=0) | (colAgent+1=10&rowAgent+1=0) | (colAgent+1=11&rowAgent+1=0) | (colAgent+1=12&rowAgent+1=0) | (colAgent+1=13&rowAgent+1=0) | (colAgent+1=14&rowAgent+1=0) | (colAgent+1=15&rowAgent+1=0) | (colAgent+1=16&rowAgent+1=0) | (colAgent+1=17&rowAgent+1=0) | (colAgent+1=18&rowAgent+1=0) | (colAgent+1=19&rowAgent+1=0) | (colAgent+1=20&rowAgent+1=0) | (colAgent+1=21&rowAgent+1=0) | (colAgent+1=22&rowAgent+1=0) | (colAgent+1=23&rowAgent+1=0) | (colAgent+1=24&rowAgent+1=0) | (colAgent+1=25&rowAgent+1=0) | (colAgent+1=26&rowAgent+1=0) | (colAgent+1=0&rowAgent+1=1) | (colAgent+1=26&rowAgent+1=1) | (colAgent+1=0&rowAgent+1=2) | (colAgent+1=26&rowAgent+1=2) | (colAgent+1=0&rowAgent+1=3) | (colAgent+1=26&rowAgent+1=3) | (colAgent+1=0&rowAgent+1=4) | (colAgent+1=26&rowAgent+1=4) | (colAgent+1=0&rowAgent+1=5) | (colAgent+1=26&rowAgent+1=5) | (colAgent+1=0&rowAgent+1=6) | (colAgent+1=26&rowAgent+1=6) | (colAgent+1=0&rowAgent+1=7) | (colAgent+1=26&rowAgent+1=7) | (colAgent+1=0&rowAgent+1=8) | (colAgent+1=26&rowAgent+1=8) | (colAgent+1=0&rowAgent+1=9) | (colAgent+1=26&rowAgent+1=9) | (colAgent+1=0&rowAgent+1=10) | (colAgent+1=26&rowAgent+1=10) | (colAgent+1=0&rowAgent+1=11) | (colAgent+1=26&rowAgent+1=11) | (colAgent+1=0&rowAgent+1=12) | (colAgent+1=26&rowAgent+1=12) | (colAgent+1=0&rowAgent+1=13) | (colAgent+1=26&rowAgent+1=13) | (colAgent+1=0&rowAgent+1=14) | (colAgent+1=26&rowAgent+1=14) | (colAgent+1=0&rowAgent+1=15) | (colAgent+1=26&rowAgent+1=15) | (colAgent+1=0&rowAgent+1=16) | (colAgent+1=26&rowAgent+1=16) | (colAgent+1=0&rowAgent+1=17) | (colAgent+1=26&rowAgent+1=17) | (colAgent+1=0&rowAgent+1=18) | (colAgent+1=26&rowAgent+1=18) | (colAgent+1=0&rowAgent+1=19) | (colAgent+1=26&rowAgent+1=19) | (colAgent+1=0&rowAgent+1=20) | (colAgent+1=26&rowAgent+1=20) | (colAgent+1=0&rowAgent+1=21) | (colAgent+1=1&rowAgent+1=21) | (colAgent+1=2&rowAgent+1=21) | (colAgent+1=3&rowAgent+1=21) | (colAgent+1=4&rowAgent+1=21) | (colAgent+1=5&rowAgent+1=21) | (colAgent+1=6&rowAgent+1=21) | (colAgent+1=7&rowAgent+1=21) | (colAgent+1=8&rowAgent+1=21) | (colAgent+1=9&rowAgent+1=21) | (colAgent+1=10&rowAgent+1=21) | (colAgent+1=11&rowAgent+1=21) | (colAgent+1=12&rowAgent+1=21) | (colAgent+1=13&rowAgent+1=21) | (colAgent+1=14&rowAgent+1=21) | (colAgent+1=15&rowAgent+1=21) | (colAgent+1=16&rowAgent+1=21) | (colAgent+1=17&rowAgent+1=21) | (colAgent+1=18&rowAgent+1=21) | (colAgent+1=19&rowAgent+1=21) | (colAgent+1=20&rowAgent+1=21) | (colAgent+1=21&rowAgent+1=21) | (colAgent+1=22&rowAgent+1=21) | (colAgent+1=23&rowAgent+1=21) | (colAgent+1=24&rowAgent+1=21) | (colAgent+1=25&rowAgent+1=21) | (colAgent+1=26&rowAgent+1=21);
+formula AgentCannotSlipSouthWest = (colAgent-1=0&rowAgent+1=0) | (colAgent-1=1&rowAgent+1=0) | (colAgent-1=2&rowAgent+1=0) | (colAgent-1=3&rowAgent+1=0) | (colAgent-1=4&rowAgent+1=0) | (colAgent-1=5&rowAgent+1=0) | (colAgent-1=6&rowAgent+1=0) | (colAgent-1=7&rowAgent+1=0) | (colAgent-1=8&rowAgent+1=0) | (colAgent-1=9&rowAgent+1=0) | (colAgent-1=10&rowAgent+1=0) | (colAgent-1=11&rowAgent+1=0) | (colAgent-1=12&rowAgent+1=0) | (colAgent-1=13&rowAgent+1=0) | (colAgent-1=14&rowAgent+1=0) | (colAgent-1=15&rowAgent+1=0) | (colAgent-1=16&rowAgent+1=0) | (colAgent-1=17&rowAgent+1=0) | (colAgent-1=18&rowAgent+1=0) | (colAgent-1=19&rowAgent+1=0) | (colAgent-1=20&rowAgent+1=0) | (colAgent-1=21&rowAgent+1=0) | (colAgent-1=22&rowAgent+1=0) | (colAgent-1=23&rowAgent+1=0) | (colAgent-1=24&rowAgent+1=0) | (colAgent-1=25&rowAgent+1=0) | (colAgent-1=26&rowAgent+1=0) | (colAgent-1=0&rowAgent+1=1) | (colAgent-1=26&rowAgent+1=1) | (colAgent-1=0&rowAgent+1=2) | (colAgent-1=26&rowAgent+1=2) | (colAgent-1=0&rowAgent+1=3) | (colAgent-1=26&rowAgent+1=3) | (colAgent-1=0&rowAgent+1=4) | (colAgent-1=26&rowAgent+1=4) | (colAgent-1=0&rowAgent+1=5) | (colAgent-1=26&rowAgent+1=5) | (colAgent-1=0&rowAgent+1=6) | (colAgent-1=26&rowAgent+1=6) | (colAgent-1=0&rowAgent+1=7) | (colAgent-1=26&rowAgent+1=7) | (colAgent-1=0&rowAgent+1=8) | (colAgent-1=26&rowAgent+1=8) | (colAgent-1=0&rowAgent+1=9) | (colAgent-1=26&rowAgent+1=9) | (colAgent-1=0&rowAgent+1=10) | (colAgent-1=26&rowAgent+1=10) | (colAgent-1=0&rowAgent+1=11) | (colAgent-1=26&rowAgent+1=11) | (colAgent-1=0&rowAgent+1=12) | (colAgent-1=26&rowAgent+1=12) | (colAgent-1=0&rowAgent+1=13) | (colAgent-1=26&rowAgent+1=13) | (colAgent-1=0&rowAgent+1=14) | (colAgent-1=26&rowAgent+1=14) | (colAgent-1=0&rowAgent+1=15) | (colAgent-1=26&rowAgent+1=15) | (colAgent-1=0&rowAgent+1=16) | (colAgent-1=26&rowAgent+1=16) | (colAgent-1=0&rowAgent+1=17) | (colAgent-1=26&rowAgent+1=17) | (colAgent-1=0&rowAgent+1=18) | (colAgent-1=26&rowAgent+1=18) | (colAgent-1=0&rowAgent+1=19) | (colAgent-1=26&rowAgent+1=19) | (colAgent-1=0&rowAgent+1=20) | (colAgent-1=26&rowAgent+1=20) | (colAgent-1=0&rowAgent+1=21) | (colAgent-1=1&rowAgent+1=21) | (colAgent-1=2&rowAgent+1=21) | (colAgent-1=3&rowAgent+1=21) | (colAgent-1=4&rowAgent+1=21) | (colAgent-1=5&rowAgent+1=21) | (colAgent-1=6&rowAgent+1=21) | (colAgent-1=7&rowAgent+1=21) | (colAgent-1=8&rowAgent+1=21) | (colAgent-1=9&rowAgent+1=21) | (colAgent-1=10&rowAgent+1=21) | (colAgent-1=11&rowAgent+1=21) | (colAgent-1=12&rowAgent+1=21) | (colAgent-1=13&rowAgent+1=21) | (colAgent-1=14&rowAgent+1=21) | (colAgent-1=15&rowAgent+1=21) | (colAgent-1=16&rowAgent+1=21) | (colAgent-1=17&rowAgent+1=21) | (colAgent-1=18&rowAgent+1=21) | (colAgent-1=19&rowAgent+1=21) | (colAgent-1=20&rowAgent+1=21) | (colAgent-1=21&rowAgent+1=21) | (colAgent-1=22&rowAgent+1=21) | (colAgent-1=23&rowAgent+1=21) | (colAgent-1=24&rowAgent+1=21) | (colAgent-1=25&rowAgent+1=21) | (colAgent-1=26&rowAgent+1=21);
+formula AgentCannotSlipWest = (colAgent-1=0&rowAgent=0) | (colAgent-1=1&rowAgent=0) | (colAgent-1=2&rowAgent=0) | (colAgent-1=3&rowAgent=0) | (colAgent-1=4&rowAgent=0) | (colAgent-1=5&rowAgent=0) | (colAgent-1=6&rowAgent=0) | (colAgent-1=7&rowAgent=0) | (colAgent-1=8&rowAgent=0) | (colAgent-1=9&rowAgent=0) | (colAgent-1=10&rowAgent=0) | (colAgent-1=11&rowAgent=0) | (colAgent-1=12&rowAgent=0) | (colAgent-1=13&rowAgent=0) | (colAgent-1=14&rowAgent=0) | (colAgent-1=15&rowAgent=0) | (colAgent-1=16&rowAgent=0) | (colAgent-1=17&rowAgent=0) | (colAgent-1=18&rowAgent=0) | (colAgent-1=19&rowAgent=0) | (colAgent-1=20&rowAgent=0) | (colAgent-1=21&rowAgent=0) | (colAgent-1=22&rowAgent=0) | (colAgent-1=23&rowAgent=0) | (colAgent-1=24&rowAgent=0) | (colAgent-1=25&rowAgent=0) | (colAgent-1=26&rowAgent=0) | (colAgent-1=0&rowAgent=1) | (colAgent-1=26&rowAgent=1) | (colAgent-1=0&rowAgent=2) | (colAgent-1=26&rowAgent=2) | (colAgent-1=0&rowAgent=3) | (colAgent-1=26&rowAgent=3) | (colAgent-1=0&rowAgent=4) | (colAgent-1=26&rowAgent=4) | (colAgent-1=0&rowAgent=5) | (colAgent-1=26&rowAgent=5) | (colAgent-1=0&rowAgent=6) | (colAgent-1=26&rowAgent=6) | (colAgent-1=0&rowAgent=7) | (colAgent-1=26&rowAgent=7) | (colAgent-1=0&rowAgent=8) | (colAgent-1=26&rowAgent=8) | (colAgent-1=0&rowAgent=9) | (colAgent-1=26&rowAgent=9) | (colAgent-1=0&rowAgent=10) | (colAgent-1=26&rowAgent=10) | (colAgent-1=0&rowAgent=11) | (colAgent-1=26&rowAgent=11) | (colAgent-1=0&rowAgent=12) | (colAgent-1=26&rowAgent=12) | (colAgent-1=0&rowAgent=13) | (colAgent-1=26&rowAgent=13) | (colAgent-1=0&rowAgent=14) | (colAgent-1=26&rowAgent=14) | (colAgent-1=0&rowAgent=15) | (colAgent-1=26&rowAgent=15) | (colAgent-1=0&rowAgent=16) | (colAgent-1=26&rowAgent=16) | (colAgent-1=0&rowAgent=17) | (colAgent-1=26&rowAgent=17) | (colAgent-1=0&rowAgent=18) | (colAgent-1=26&rowAgent=18) | (colAgent-1=0&rowAgent=19) | (colAgent-1=26&rowAgent=19) | (colAgent-1=0&rowAgent=20) | (colAgent-1=26&rowAgent=20) | (colAgent-1=0&rowAgent=21) | (colAgent-1=1&rowAgent=21) | (colAgent-1=2&rowAgent=21) | (colAgent-1=3&rowAgent=21) | (colAgent-1=4&rowAgent=21) | (colAgent-1=5&rowAgent=21) | (colAgent-1=6&rowAgent=21) | (colAgent-1=7&rowAgent=21) | (colAgent-1=8&rowAgent=21) | (colAgent-1=9&rowAgent=21) | (colAgent-1=10&rowAgent=21) | (colAgent-1=11&rowAgent=21) | (colAgent-1=12&rowAgent=21) | (colAgent-1=13&rowAgent=21) | (colAgent-1=14&rowAgent=21) | (colAgent-1=15&rowAgent=21) | (colAgent-1=16&rowAgent=21) | (colAgent-1=17&rowAgent=21) | (colAgent-1=18&rowAgent=21) | (colAgent-1=19&rowAgent=21) | (colAgent-1=20&rowAgent=21) | (colAgent-1=21&rowAgent=21) | (colAgent-1=22&rowAgent=21) | (colAgent-1=23&rowAgent=21) | (colAgent-1=24&rowAgent=21) | (colAgent-1=25&rowAgent=21) | (colAgent-1=26&rowAgent=21);
+formula AgentIsOnLava = (colAgent=16&rowAgent=1) | (colAgent=17&rowAgent=1) | (colAgent=18&rowAgent=1) | (colAgent=19&rowAgent=1) | (colAgent=16&rowAgent=2) | (colAgent=17&rowAgent=2) | (colAgent=18&rowAgent=2) | (colAgent=19&rowAgent=2) | (colAgent=10&rowAgent=3) | (colAgent=11&rowAgent=3) | (colAgent=12&rowAgent=3) | (colAgent=10&rowAgent=4) | (colAgent=11&rowAgent=4) | (colAgent=12&rowAgent=4) | (colAgent=10&rowAgent=5) | (colAgent=11&rowAgent=5) | (colAgent=12&rowAgent=5) | (colAgent=10&rowAgent=6) | (colAgent=11&rowAgent=6) | (colAgent=12&rowAgent=6) | (colAgent=16&rowAgent=7) | (colAgent=17&rowAgent=7) | (colAgent=18&rowAgent=7) | (colAgent=19&rowAgent=7) | (colAgent=20&rowAgent=7) | (colAgent=21&rowAgent=7) | (colAgent=22&rowAgent=7) | (colAgent=23&rowAgent=7) | (colAgent=16&rowAgent=8) | (colAgent=17&rowAgent=8) | (colAgent=18&rowAgent=8) | (colAgent=19&rowAgent=8) | (colAgent=20&rowAgent=8) | (colAgent=21&rowAgent=8) | (colAgent=22&rowAgent=8) | (colAgent=23&rowAgent=8) | (colAgent=16&rowAgent=9) | (colAgent=17&rowAgent=9) | (colAgent=18&rowAgent=9) | (colAgent=19&rowAgent=9) | (colAgent=20&rowAgent=9) | (colAgent=21&rowAgent=9) | (colAgent=22&rowAgent=9) | (colAgent=23&rowAgent=9) | (colAgent=16&rowAgent=10) | (colAgent=17&rowAgent=10) | (colAgent=18&rowAgent=10) | (colAgent=19&rowAgent=10) | (colAgent=20&rowAgent=10) | (colAgent=21&rowAgent=10) | (colAgent=22&rowAgent=10) | (colAgent=23&rowAgent=10) | (colAgent=8&rowAgent=11) | (colAgent=9&rowAgent=11) | (colAgent=10&rowAgent=11) | (colAgent=11&rowAgent=11) | (colAgent=12&rowAgent=11) | (colAgent=16&rowAgent=11) | (colAgent=17&rowAgent=11) | (colAgent=18&rowAgent=11) | (colAgent=19&rowAgent=11) | (colAgent=20&rowAgent=11) | (colAgent=21&rowAgent=11) | (colAgent=22&rowAgent=11) | (colAgent=23&rowAgent=11) | (colAgent=8&rowAgent=12) | (colAgent=9&rowAgent=12) | (colAgent=10&rowAgent=12) | (colAgent=11&rowAgent=12) | (colAgent=12&rowAgent=12) | (colAgent=8&rowAgent=13) | (colAgent=9&rowAgent=13) | (colAgent=10&rowAgent=13) | (colAgent=11&rowAgent=13) | (colAgent=12&rowAgent=13) | (colAgent=8&rowAgent=14) | (colAgent=9&rowAgent=14) | (colAgent=10&rowAgent=14) | (colAgent=11&rowAgent=14) | (colAgent=12&rowAgent=14) | (colAgent=22&rowAgent=14) | (colAgent=23&rowAgent=14) | (colAgent=24&rowAgent=14) | (colAgent=25&rowAgent=14) | (colAgent=8&rowAgent=15) | (colAgent=9&rowAgent=15) | (colAgent=10&rowAgent=15) | (colAgent=11&rowAgent=15) | (colAgent=12&rowAgent=15) | (colAgent=22&rowAgent=15) | (colAgent=23&rowAgent=15) | (colAgent=24&rowAgent=15) | (colAgent=25&rowAgent=15) | (colAgent=8&rowAgent=16) | (colAgent=9&rowAgent=16) | (colAgent=10&rowAgent=16) | (colAgent=11&rowAgent=16) | (colAgent=12&rowAgent=16) | (colAgent=22&rowAgent=16) | (colAgent=23&rowAgent=16) | (colAgent=24&rowAgent=16) | (colAgent=25&rowAgent=16) | (colAgent=22&rowAgent=17) | (colAgent=23&rowAgent=17) | (colAgent=24&rowAgent=17) | (colAgent=25&rowAgent=17);
+formula AgentIsOnGoal = (colAgent=25&rowAgent=10);
+init
+ true
+endinit
+
+
+module Agent
+ colAgent : [1..25];
+ rowAgent : [1..20];
+ viewAgent : [0..3];
+
+ [Agent_turn_right] !AgentIsOnSlippery & !AgentIsOnLava &true -> 1.000000: (viewAgent'=mod(viewAgent+1,4));
+ [Agent_turn_left] !AgentIsOnSlippery & !AgentIsOnLava &viewAgent>0 -> 1.000000: (viewAgent'=viewAgent-1);
+ [Agent_turn_left] !AgentIsOnSlippery & !AgentIsOnLava &viewAgent=0 -> 1.000000: (viewAgent'=3);
+ [Agent_move_North] viewAgent=3 & !AgentIsOnSlippery & !AgentIsOnLava & !AgentIsOnGoal & !AgentCannotMoveNorthWall -> 1.000000: (rowAgent'=rowAgent-1);
+ [Agent_move_East] viewAgent=0 & !AgentIsOnSlippery & !AgentIsOnLava & !AgentIsOnGoal & !AgentCannotMoveEastWall -> 1.000000: (colAgent'=colAgent+1);
+ [Agent_move_South] viewAgent=1 & !AgentIsOnSlippery & !AgentIsOnLava & !AgentIsOnGoal & !AgentCannotMoveSouthWall -> 1.000000: (rowAgent'=rowAgent+1);
+ [Agent_move_West] viewAgent=2 & !AgentIsOnSlippery & !AgentIsOnLava & !AgentIsOnGoal & !AgentCannotMoveWestWall -> 1.000000: (colAgent'=colAgent-1);
+ [Agent_move_North] viewAgent=3 & AgentIsOnSlipperyNorth & !AgentCannotSlipNorth & !AgentCannotSlipNorthEast & !AgentCannotSlipNorthWest -> 0.950000: (rowAgent'=rowAgent-1) + 0.025000: (rowAgent'=rowAgent-1)&(colAgent'=colAgent+1) + 0.025000: (rowAgent'=rowAgent-1)&(colAgent'=colAgent-1);
+ [Agent_move_North] viewAgent=3 & AgentIsOnSlipperyNorth & AgentCannotSlipNorth & !AgentCannotSlipNorthEast & !AgentCannotSlipNorthWest -> 0.000000: (rowAgent'=rowAgent-1)&(colAgent'=colAgent+1) + 0.000000: (rowAgent'=rowAgent-1)&(colAgent'=colAgent-1);
+ [Agent_move_North] viewAgent=3 & AgentIsOnSlipperyNorth & !AgentCannotSlipNorth & AgentCannotSlipNorthEast & !AgentCannotSlipNorthWest -> 0.950000: (rowAgent'=rowAgent-1) + 0.050000: (rowAgent'=rowAgent-1)&(colAgent'=colAgent-1);
+ [Agent_move_North] viewAgent=3 & AgentIsOnSlipperyNorth & !AgentCannotSlipNorth & !AgentCannotSlipNorthEast & AgentCannotSlipNorthWest -> 0.950000: (rowAgent'=rowAgent-1) + 0.050000: (rowAgent'=rowAgent-1)&(colAgent'=colAgent+1);
+ [Agent_move_North] viewAgent=3 & AgentIsOnSlipperyNorth & AgentCannotSlipNorth & AgentCannotSlipNorthEast & !AgentCannotSlipNorthWest -> 1.000000: (rowAgent'=rowAgent-1)&(colAgent'=colAgent-1);
+ [Agent_move_North] viewAgent=3 & AgentIsOnSlipperyNorth & !AgentCannotSlipNorth & AgentCannotSlipNorthEast & AgentCannotSlipNorthWest -> 1.000000: (rowAgent'=rowAgent-1);
+ [Agent_move_North] viewAgent=3 & AgentIsOnSlipperyNorth & AgentCannotSlipNorth & !AgentCannotSlipNorthEast & AgentCannotSlipNorthWest -> 1.000000: (rowAgent'=rowAgent-1)&(colAgent'=colAgent+1);
+ [Agent_move_North] viewAgent=3 & AgentIsOnSlipperyNorth & AgentCannotSlipNorth & AgentCannotSlipNorthEast & AgentCannotSlipNorthWest -> true;
+ [Agent_move_West] viewAgent=2 & AgentIsOnSlipperyNorth & !AgentCannotSlipWest & !AgentCannotSlipNorthWest -> 0.950000: (colAgent'=colAgent-1) + 0.050000: (colAgent'=colAgent-1)&(rowAgent'=rowAgent-1);
+ [Agent_move_West] viewAgent=2 & AgentIsOnSlipperyNorth & AgentCannotSlipWest & !AgentCannotSlipNorthWest -> 1.000000: (colAgent'=colAgent-1)&(rowAgent'=rowAgent-1);
+ [Agent_move_West] viewAgent=2 & AgentIsOnSlipperyNorth & !AgentCannotSlipWest & AgentCannotSlipNorthWest -> 1.000000: (colAgent'=colAgent-1);
+ [Agent_move_West] viewAgent=2 & AgentIsOnSlipperyNorth & AgentCannotSlipWest & AgentCannotSlipNorthWest -> true;
+ [Agent_move_East] viewAgent=0 & AgentIsOnSlipperyNorth & !AgentCannotSlipEast & !AgentCannotSlipNorthEast -> 0.950000: (colAgent'=colAgent+1) + 0.050000: (colAgent'=colAgent+1)&(rowAgent'=rowAgent-1);
+ [Agent_move_East] viewAgent=0 & AgentIsOnSlipperyNorth & AgentCannotSlipEast & !AgentCannotSlipNorthEast -> 1.000000: (colAgent'=colAgent+1)&(rowAgent'=rowAgent-1);
+ [Agent_move_East] viewAgent=0 & AgentIsOnSlipperyNorth & !AgentCannotSlipEast & AgentCannotSlipNorthEast -> 1.000000: (colAgent'=colAgent+1);
+ [Agent_move_East] viewAgent=0 & AgentIsOnSlipperyNorth & AgentCannotSlipEast & AgentCannotSlipNorthEast -> true;
+ [Agent_move_South] viewAgent=1 & AgentIsOnSlipperyNorth & !AgentCannotSlipSouth -> 0.950000: (rowAgent'=rowAgent+1) + 0.050000: true;
+ [Agent_move_South] viewAgent=1 & AgentIsOnSlipperyNorth & AgentCannotSlipSouth -> 1.000000: true;
+ [Agent_turn_right] AgentIsOnSlipperyNorth & !AgentCannotSlipNorth & true -> 0.950000: (viewAgent'=mod(viewAgent+1,4)) + 0.050000: (rowAgent'=rowAgent-1);
+ [Agent_turn_right] AgentIsOnSlipperyNorth & AgentCannotSlipNorth & true -> 1.000000: (viewAgent'=mod(viewAgent+1,4));
+ [Agent_turn_left] AgentIsOnSlipperyNorth & !AgentCannotSlipNorth & viewAgent>0 -> 0.950000: (viewAgent'=viewAgent-1) + 0.050000: (rowAgent'=rowAgent-1);
+ [Agent_turn_left] AgentIsOnSlipperyNorth & !AgentCannotSlipNorth & viewAgent=0 -> 0.950000: (viewAgent'=3) + 0.050000: (rowAgent'=rowAgent-1);
+ [Agent_turn_left] AgentIsOnSlipperyNorth & AgentCannotSlipNorth & viewAgent>0 -> 1.000000: (viewAgent'=viewAgent-1);
+ [Agent_turn_left] AgentIsOnSlipperyNorth & AgentCannotSlipNorth & viewAgent=0 -> 1.000000: (viewAgent'=3);
+ [Agent_move_East] viewAgent=0 & AgentIsOnSlipperyEast & !AgentCannotSlipEast & !AgentCannotSlipSouthEast & !AgentCannotSlipNorthEast -> 0.950000: (colAgent'=colAgent+1) + 0.025000: (colAgent'=colAgent+1)&(rowAgent'=rowAgent+1) + 0.025000: (colAgent'=colAgent+1)&(rowAgent'=rowAgent-1);
+ [Agent_move_East] viewAgent=0 & AgentIsOnSlipperyEast & AgentCannotSlipEast & !AgentCannotSlipSouthEast & !AgentCannotSlipNorthEast -> 0.000000: (colAgent'=colAgent+1)&(rowAgent'=rowAgent+1) + 0.000000: (colAgent'=colAgent+1)&(rowAgent'=rowAgent-1);
+ [Agent_move_East] viewAgent=0 & AgentIsOnSlipperyEast & !AgentCannotSlipEast & AgentCannotSlipSouthEast & !AgentCannotSlipNorthEast -> 0.950000: (colAgent'=colAgent+1) + 0.050000: (colAgent'=colAgent+1)&(rowAgent'=rowAgent-1);
+ [Agent_move_East] viewAgent=0 & AgentIsOnSlipperyEast & !AgentCannotSlipEast & !AgentCannotSlipSouthEast & AgentCannotSlipNorthEast -> 0.950000: (colAgent'=colAgent+1) + 0.050000: (colAgent'=colAgent+1)&(rowAgent'=rowAgent+1);
+ [Agent_move_East] viewAgent=0 & AgentIsOnSlipperyEast & AgentCannotSlipEast & AgentCannotSlipSouthEast & !AgentCannotSlipNorthEast -> 1.000000: (colAgent'=colAgent+1)&(rowAgent'=rowAgent-1);
+ [Agent_move_East] viewAgent=0 & AgentIsOnSlipperyEast & !AgentCannotSlipEast & AgentCannotSlipSouthEast & AgentCannotSlipNorthEast -> 1.000000: (colAgent'=colAgent+1);
+ [Agent_move_East] viewAgent=0 & AgentIsOnSlipperyEast & AgentCannotSlipEast & !AgentCannotSlipSouthEast & AgentCannotSlipNorthEast -> 1.000000: (colAgent'=colAgent+1)&(rowAgent'=rowAgent+1);
+ [Agent_move_East] viewAgent=0 & AgentIsOnSlipperyEast & AgentCannotSlipEast & AgentCannotSlipSouthEast & AgentCannotSlipNorthEast -> true;
+ [Agent_move_North] viewAgent=3 & AgentIsOnSlipperyEast & !AgentCannotSlipNorth & !AgentCannotSlipNorthEast -> 0.950000: (rowAgent'=rowAgent-1) + 0.050000: (colAgent'=colAgent+1)&(rowAgent'=rowAgent-1);
+ [Agent_move_North] viewAgent=3 & AgentIsOnSlipperyEast & AgentCannotSlipNorth & !AgentCannotSlipNorthEast -> 1.000000: (colAgent'=colAgent+1)&(rowAgent'=rowAgent-1);
+ [Agent_move_North] viewAgent=3 & AgentIsOnSlipperyEast & !AgentCannotSlipNorth & AgentCannotSlipNorthEast -> 1.000000: (rowAgent'=rowAgent-1);
+ [Agent_move_North] viewAgent=3 & AgentIsOnSlipperyEast & AgentCannotSlipNorth & AgentCannotSlipNorthEast -> true;
+ [Agent_move_South] viewAgent=1 & AgentIsOnSlipperyEast & !AgentCannotSlipSouth & !AgentCannotSlipSouthEast -> 0.950000: (rowAgent'=rowAgent+1) + 0.050000: (colAgent'=colAgent+1)&(rowAgent'=rowAgent+1);
+ [Agent_move_South] viewAgent=1 & AgentIsOnSlipperyEast & AgentCannotSlipSouth & !AgentCannotSlipSouthEast -> 1.000000: (colAgent'=colAgent+1)&(rowAgent'=rowAgent+1);
+ [Agent_move_South] viewAgent=1 & AgentIsOnSlipperyEast & !AgentCannotSlipSouth & AgentCannotSlipSouthEast -> 1.000000: (rowAgent'=rowAgent+1);
+ [Agent_move_South] viewAgent=1 & AgentIsOnSlipperyEast & AgentCannotSlipSouth & AgentCannotSlipSouthEast -> true;
+ [Agent_move_West] viewAgent=2 & AgentIsOnSlipperyEast & !AgentCannotSlipEast -> 0.950000: (colAgent'=colAgent+1) + 0.050000: true;
+ [Agent_move_West] viewAgent=2 & AgentIsOnSlipperyEast & AgentCannotSlipEast -> 1.000000: true;
+ [Agent_turn_right] AgentIsOnSlipperyEast & !AgentCannotSlipEast & true -> 0.950000: (viewAgent'=mod(viewAgent+1,4)) + 0.050000: (colAgent'=colAgent+1);
+ [Agent_turn_right] AgentIsOnSlipperyEast & AgentCannotSlipEast & true -> 1.000000: (viewAgent'=mod(viewAgent+1,4));
+ [Agent_turn_left] AgentIsOnSlipperyEast & !AgentCannotSlipEast & viewAgent>0 -> 0.950000: (viewAgent'=viewAgent-1) + 0.050000: (colAgent'=colAgent+1);
+ [Agent_turn_left] AgentIsOnSlipperyEast & !AgentCannotSlipEast & viewAgent=0 -> 0.950000: (viewAgent'=3) + 0.050000: (colAgent'=colAgent+1);
+ [Agent_turn_left] AgentIsOnSlipperyEast & AgentCannotSlipEast & viewAgent>0 -> 1.000000: (viewAgent'=viewAgent-1);
+ [Agent_turn_left] AgentIsOnSlipperyEast & AgentCannotSlipEast & viewAgent=0 -> 1.000000: (viewAgent'=3);
+ [Agent_move_South] viewAgent=1 & AgentIsOnSlipperySouth & !AgentCannotSlipSouth & !AgentCannotSlipSouthEast & !AgentCannotSlipSouthWest -> 0.950000: (rowAgent'=rowAgent+1) + 0.025000: (rowAgent'=rowAgent+1)&(colAgent'=colAgent+1) + 0.025000: (rowAgent'=rowAgent+1)&(colAgent'=colAgent-1);
+ [Agent_move_South] viewAgent=1 & AgentIsOnSlipperySouth & AgentCannotSlipSouth & !AgentCannotSlipSouthEast & !AgentCannotSlipSouthWest -> 0.000000: (rowAgent'=rowAgent+1)&(colAgent'=colAgent+1) + 0.000000: (rowAgent'=rowAgent+1)&(colAgent'=colAgent-1);
+ [Agent_move_South] viewAgent=1 & AgentIsOnSlipperySouth & !AgentCannotSlipSouth & AgentCannotSlipSouthEast & !AgentCannotSlipSouthWest -> 0.950000: (rowAgent'=rowAgent+1) + 0.050000: (rowAgent'=rowAgent+1)&(colAgent'=colAgent-1);
+ [Agent_move_South] viewAgent=1 & AgentIsOnSlipperySouth & !AgentCannotSlipSouth & !AgentCannotSlipSouthEast & AgentCannotSlipSouthWest -> 0.950000: (rowAgent'=rowAgent+1) + 0.050000: (rowAgent'=rowAgent+1)&(colAgent'=colAgent+1);
+ [Agent_move_South] viewAgent=1 & AgentIsOnSlipperySouth & AgentCannotSlipSouth & AgentCannotSlipSouthEast & !AgentCannotSlipSouthWest -> 1.000000: (rowAgent'=rowAgent+1)&(colAgent'=colAgent-1);
+ [Agent_move_South] viewAgent=1 & AgentIsOnSlipperySouth & !AgentCannotSlipSouth & AgentCannotSlipSouthEast & AgentCannotSlipSouthWest -> 1.000000: (rowAgent'=rowAgent+1);
+ [Agent_move_South] viewAgent=1 & AgentIsOnSlipperySouth & AgentCannotSlipSouth & !AgentCannotSlipSouthEast & AgentCannotSlipSouthWest -> 1.000000: (rowAgent'=rowAgent+1)&(colAgent'=colAgent+1);
+ [Agent_move_South] viewAgent=1 & AgentIsOnSlipperySouth & AgentCannotSlipSouth & AgentCannotSlipSouthEast & AgentCannotSlipSouthWest -> true;
+ [Agent_move_West] viewAgent=2 & AgentIsOnSlipperySouth & !AgentCannotSlipWest & !AgentCannotSlipSouthWest -> 0.950000: (colAgent'=colAgent-1) + 0.050000: (colAgent'=colAgent-1)&(rowAgent'=rowAgent+1);
+ [Agent_move_West] viewAgent=2 & AgentIsOnSlipperySouth & AgentCannotSlipWest & !AgentCannotSlipSouthWest -> 1.000000: (colAgent'=colAgent-1)&(rowAgent'=rowAgent+1);
+ [Agent_move_West] viewAgent=2 & AgentIsOnSlipperySouth & !AgentCannotSlipWest & AgentCannotSlipSouthWest -> 1.000000: (colAgent'=colAgent-1);
+ [Agent_move_West] viewAgent=2 & AgentIsOnSlipperySouth & AgentCannotSlipWest & AgentCannotSlipSouthWest -> true;
+ [Agent_move_East] viewAgent=0 & AgentIsOnSlipperySouth & !AgentCannotSlipEast & !AgentCannotSlipSouthEast -> 0.950000: (colAgent'=colAgent+1) + 0.050000: (colAgent'=colAgent+1)&(rowAgent'=rowAgent+1);
+ [Agent_move_East] viewAgent=0 & AgentIsOnSlipperySouth & AgentCannotSlipEast & !AgentCannotSlipSouthEast -> 1.000000: (colAgent'=colAgent+1)&(rowAgent'=rowAgent+1);
+ [Agent_move_East] viewAgent=0 & AgentIsOnSlipperySouth & !AgentCannotSlipEast & AgentCannotSlipSouthEast -> 1.000000: (colAgent'=colAgent+1);
+ [Agent_move_East] viewAgent=0 & AgentIsOnSlipperySouth & AgentCannotSlipEast & AgentCannotSlipSouthEast -> true;
+ [Agent_move_North] viewAgent=3 & AgentIsOnSlipperySouth & !AgentCannotSlipSouth -> 0.950000: (rowAgent'=rowAgent-1) + 0.050000: true;
+ [Agent_move_North] viewAgent=3 & AgentIsOnSlipperySouth & AgentCannotSlipSouth -> 1.000000: true;
+ [Agent_turn_right] AgentIsOnSlipperySouth & !AgentCannotSlipSouth & true -> 0.950000: (viewAgent'=mod(viewAgent+1,4)) + 0.050000: (rowAgent'=rowAgent+1);
+ [Agent_turn_right] AgentIsOnSlipperySouth & AgentCannotSlipSouth & true -> 1.000000: (viewAgent'=mod(viewAgent+1,4));
+ [Agent_turn_left] AgentIsOnSlipperySouth & !AgentCannotSlipSouth & viewAgent>0 -> 0.950000: (viewAgent'=viewAgent-1) + 0.050000: (rowAgent'=rowAgent+1);
+ [Agent_turn_left] AgentIsOnSlipperySouth & !AgentCannotSlipSouth & viewAgent=0 -> 0.950000: (viewAgent'=3) + 0.050000: (rowAgent'=rowAgent+1);
+ [Agent_turn_left] AgentIsOnSlipperySouth & AgentCannotSlipSouth & viewAgent>0 -> 1.000000: (viewAgent'=viewAgent-1);
+ [Agent_turn_left] AgentIsOnSlipperySouth & AgentCannotSlipSouth & viewAgent=0 -> 1.000000: (viewAgent'=3);
+ [Agent_move_West] viewAgent=2 & AgentIsOnSlipperyWest & !AgentCannotSlipWest & !AgentCannotSlipSouthWest & !AgentCannotSlipNorthWest -> 0.950000: (colAgent'=colAgent-1) + 0.025000: (colAgent'=colAgent-1)&(rowAgent'=rowAgent+1) + 0.025000: (colAgent'=colAgent-1)&(rowAgent'=rowAgent-1);
+ [Agent_move_West] viewAgent=2 & AgentIsOnSlipperyWest & AgentCannotSlipWest & !AgentCannotSlipSouthWest & !AgentCannotSlipNorthWest -> 0.000000: (colAgent'=colAgent-1)&(rowAgent'=rowAgent+1) + 0.000000: (colAgent'=colAgent-1)&(rowAgent'=rowAgent-1);
+ [Agent_move_West] viewAgent=2 & AgentIsOnSlipperyWest & !AgentCannotSlipWest & AgentCannotSlipSouthWest & !AgentCannotSlipNorthWest -> 0.950000: (colAgent'=colAgent-1) + 0.050000: (colAgent'=colAgent-1)&(rowAgent'=rowAgent-1);
+ [Agent_move_West] viewAgent=2 & AgentIsOnSlipperyWest & !AgentCannotSlipWest & !AgentCannotSlipSouthWest & AgentCannotSlipNorthWest -> 0.950000: (colAgent'=colAgent-1) + 0.050000: (colAgent'=colAgent-1)&(rowAgent'=rowAgent+1);
+ [Agent_move_West] viewAgent=2 & AgentIsOnSlipperyWest & AgentCannotSlipWest & AgentCannotSlipSouthWest & !AgentCannotSlipNorthWest -> 1.000000: (colAgent'=colAgent-1)&(rowAgent'=rowAgent-1);
+ [Agent_move_West] viewAgent=2 & AgentIsOnSlipperyWest & !AgentCannotSlipWest & AgentCannotSlipSouthWest & AgentCannotSlipNorthWest -> 1.000000: (colAgent'=colAgent-1);
+ [Agent_move_West] viewAgent=2 & AgentIsOnSlipperyWest & AgentCannotSlipWest & !AgentCannotSlipSouthWest & AgentCannotSlipNorthWest -> 1.000000: (colAgent'=colAgent-1)&(rowAgent'=rowAgent+1);
+ [Agent_move_West] viewAgent=2 & AgentIsOnSlipperyWest & AgentCannotSlipWest & AgentCannotSlipSouthWest & AgentCannotSlipNorthWest -> true;
+ [Agent_move_North] viewAgent=3 & AgentIsOnSlipperyWest & !AgentCannotSlipNorth & !AgentCannotSlipNorthWest -> 0.950000: (rowAgent'=rowAgent-1) + 0.050000: (colAgent'=colAgent-1)&(rowAgent'=rowAgent-1);
+ [Agent_move_North] viewAgent=3 & AgentIsOnSlipperyWest & AgentCannotSlipNorth & !AgentCannotSlipNorthWest -> 1.000000: (colAgent'=colAgent-1)&(rowAgent'=rowAgent-1);
+ [Agent_move_North] viewAgent=3 & AgentIsOnSlipperyWest & !AgentCannotSlipNorth & AgentCannotSlipNorthWest -> 1.000000: (rowAgent'=rowAgent-1);
+ [Agent_move_North] viewAgent=3 & AgentIsOnSlipperyWest & AgentCannotSlipNorth & AgentCannotSlipNorthWest -> true;
+ [Agent_move_South] viewAgent=1 & AgentIsOnSlipperyWest & !AgentCannotSlipSouth & !AgentCannotSlipSouthWest -> 0.950000: (rowAgent'=rowAgent+1) + 0.050000: (colAgent'=colAgent-1)&(rowAgent'=rowAgent+1);
+ [Agent_move_South] viewAgent=1 & AgentIsOnSlipperyWest & AgentCannotSlipSouth & !AgentCannotSlipSouthWest -> 1.000000: (colAgent'=colAgent-1)&(rowAgent'=rowAgent+1);
+ [Agent_move_South] viewAgent=1 & AgentIsOnSlipperyWest & !AgentCannotSlipSouth & AgentCannotSlipSouthWest -> 1.000000: (rowAgent'=rowAgent+1);
+ [Agent_move_South] viewAgent=1 & AgentIsOnSlipperyWest & AgentCannotSlipSouth & AgentCannotSlipSouthWest -> true;
+ [Agent_move_East] viewAgent=0 & AgentIsOnSlipperyWest & !AgentCannotSlipWest -> 0.950000: (colAgent'=colAgent-1) + 0.050000: true;
+ [Agent_move_East] viewAgent=0 & AgentIsOnSlipperyWest & AgentCannotSlipWest -> 1.000000: true;
+ [Agent_turn_right] AgentIsOnSlipperyWest & !AgentCannotSlipWest & true -> 0.950000: (viewAgent'=mod(viewAgent+1,4)) + 0.050000: (colAgent'=colAgent-1);
+ [Agent_turn_right] AgentIsOnSlipperyWest & AgentCannotSlipWest & true -> 1.000000: (viewAgent'=mod(viewAgent+1,4));
+ [Agent_turn_left] AgentIsOnSlipperyWest & !AgentCannotSlipWest & viewAgent>0 -> 0.950000: (viewAgent'=viewAgent-1) + 0.050000: (colAgent'=colAgent-1);
+ [Agent_turn_left] AgentIsOnSlipperyWest & !AgentCannotSlipWest & viewAgent=0 -> 0.950000: (viewAgent'=3) + 0.050000: (colAgent'=colAgent-1);
+ [Agent_turn_left] AgentIsOnSlipperyWest & AgentCannotSlipWest & viewAgent>0 -> 1.000000: (viewAgent'=viewAgent-1);
+ [Agent_turn_left] AgentIsOnSlipperyWest & AgentCannotSlipWest & viewAgent=0 -> 1.000000: (viewAgent'=3);
+ [Agent_move_East] viewAgent=0 & AgentIsOnSlipperyNorthEast & !AgentCannotSlipNorthEast & !AgentCannotSlipEast -> 0.950000: (colAgent'=colAgent+1) + 0.050000: (rowAgent'=rowAgent-1)&(colAgent'=colAgent+1);
+ [Agent_move_East] viewAgent=0 & AgentIsOnSlipperyNorthEast & !AgentCannotSlipNorthEast & AgentCannotSlipEast -> 1.000000: (rowAgent'=rowAgent-1)&(colAgent'=colAgent+1);
+ [Agent_move_East] viewAgent=0 & AgentIsOnSlipperyNorthEast & AgentCannotSlipNorthEast & !AgentCannotSlipEast -> 1.000000: (colAgent'=colAgent+1);
+ [Agent_move_East] viewAgent=0 & AgentIsOnSlipperyNorthEast & AgentCannotSlipNorthEast & AgentCannotSlipEast -> 1.000000: true;
+ [Agent_move_North] viewAgent=3 & AgentIsOnSlipperyNorthEast & !AgentCannotSlipNorthEast & !AgentCannotSlipNorth -> 0.950000: (rowAgent'=rowAgent-1) + 0.050000: (colAgent'=colAgent+1)&(rowAgent'=rowAgent-1);
+ [Agent_move_North] viewAgent=3 & AgentIsOnSlipperyNorthEast & !AgentCannotSlipNorthEast & AgentCannotSlipNorth -> 1.000000: (rowAgent'=rowAgent-1)&(colAgent'=colAgent+1);
+ [Agent_move_North] viewAgent=3 & AgentIsOnSlipperyNorthEast & AgentCannotSlipNorthEast & !AgentCannotSlipNorth -> 1.000000: (rowAgent'=rowAgent-1);
+ [Agent_move_North] viewAgent=3 & AgentIsOnSlipperyNorthEast & AgentCannotSlipNorthEast & AgentCannotSlipNorth -> 1.000000: true;
+ [Agent_move_South] viewAgent=1 & AgentIsOnSlipperyNorthEast & !AgentCannotSlipNorthEast & !AgentCannotSlipEast & !AgentCannotSlipSouthEast & !AgentCannotSlipSouth -> 0.950000: (rowAgent'=rowAgent+1) + 0.016667: (rowAgent'=rowAgent-1)&(colAgent'=colAgent+1) + 0.016667: (colAgent'=colAgent+1) + 0.016667: (rowAgent'=rowAgent+1)&(colAgent'=colAgent+1);
+ [Agent_move_South] viewAgent=1 & AgentIsOnSlipperyNorthEast & !AgentCannotSlipNorthEast & !AgentCannotSlipEast & !AgentCannotSlipSouthEast & AgentCannotSlipSouth -> 0.333333: (rowAgent'=rowAgent-1)&(colAgent'=colAgent+1) + 0.333333: (colAgent'=colAgent+1) + 0.333333: (rowAgent'=rowAgent+1)&(colAgent'=colAgent+1);
+ [Agent_move_South] viewAgent=1 & AgentIsOnSlipperyNorthEast & !AgentCannotSlipNorthEast & !AgentCannotSlipEast & AgentCannotSlipSouthEast & !AgentCannotSlipSouth -> 0.982759: (rowAgent'=rowAgent+1) + 0.050847: (rowAgent'=rowAgent-1)&(colAgent'=colAgent+1) + 0.050847: (colAgent'=colAgent+1);
+ [Agent_move_South] viewAgent=1 & AgentIsOnSlipperyNorthEast & !AgentCannotSlipNorthEast & !AgentCannotSlipEast & AgentCannotSlipSouthEast & AgentCannotSlipSouth -> 0.500000: (rowAgent'=rowAgent-1)&(colAgent'=colAgent+1) + 0.500000: (colAgent'=colAgent+1);
+ [Agent_move_South] viewAgent=1 & AgentIsOnSlipperyNorthEast & !AgentCannotSlipNorthEast & AgentCannotSlipEast & !AgentCannotSlipSouthEast & !AgentCannotSlipSouth -> 0.982759: (rowAgent'=rowAgent+1) + 0.050847: (rowAgent'=rowAgent-1)&(colAgent'=colAgent+1) + 0.050847: (rowAgent'=rowAgent+1)&(colAgent'=colAgent+1);
+ [Agent_move_South] viewAgent=1 & AgentIsOnSlipperyNorthEast & !AgentCannotSlipNorthEast & AgentCannotSlipEast & !AgentCannotSlipSouthEast & AgentCannotSlipSouth -> 0.500000: (rowAgent'=rowAgent-1)&(colAgent'=colAgent+1) + 0.500000: (rowAgent'=rowAgent+1)&(colAgent'=colAgent+1);
+ [Agent_move_South] viewAgent=1 & AgentIsOnSlipperyNorthEast & !AgentCannotSlipNorthEast & AgentCannotSlipEast & AgentCannotSlipSouthEast & !AgentCannotSlipSouth -> 0.982759: (rowAgent'=rowAgent+1) + 0.051724: (rowAgent'=rowAgent-1)&(colAgent'=colAgent+1);
+ [Agent_move_South] viewAgent=1 & AgentIsOnSlipperyNorthEast & !AgentCannotSlipNorthEast & AgentCannotSlipEast & AgentCannotSlipSouthEast & AgentCannotSlipSouth -> 1.000000: (rowAgent'=rowAgent-1)&(colAgent'=colAgent+1);
+ [Agent_move_South] viewAgent=1 & AgentIsOnSlipperyNorthEast & AgentCannotSlipNorthEast & !AgentCannotSlipEast & !AgentCannotSlipSouthEast & !AgentCannotSlipSouth -> 0.982759: (rowAgent'=rowAgent+1) + 0.050847: (colAgent'=colAgent+1) + 0.050847: (rowAgent'=rowAgent+1)&(colAgent'=colAgent+1);
+ [Agent_move_South] viewAgent=1 & AgentIsOnSlipperyNorthEast & AgentCannotSlipNorthEast & !AgentCannotSlipEast & !AgentCannotSlipSouthEast & AgentCannotSlipSouth -> 0.500000: (colAgent'=colAgent+1) + 0.500000: (rowAgent'=rowAgent+1)&(colAgent'=colAgent+1);
+ [Agent_move_South] viewAgent=1 & AgentIsOnSlipperyNorthEast & AgentCannotSlipNorthEast & !AgentCannotSlipEast & AgentCannotSlipSouthEast & !AgentCannotSlipSouth -> 0.982759: (rowAgent'=rowAgent+1) + 0.051724: (colAgent'=colAgent+1);
+ [Agent_move_South] viewAgent=1 & AgentIsOnSlipperyNorthEast & AgentCannotSlipNorthEast & !AgentCannotSlipEast & AgentCannotSlipSouthEast & AgentCannotSlipSouth -> 1.000000: (colAgent'=colAgent+1);
+ [Agent_move_South] viewAgent=1 & AgentIsOnSlipperyNorthEast & AgentCannotSlipNorthEast & AgentCannotSlipEast & !AgentCannotSlipSouthEast & !AgentCannotSlipSouth -> 0.982759: (rowAgent'=rowAgent+1) + 0.051724: (rowAgent'=rowAgent+1)&(colAgent'=colAgent+1);
+ [Agent_move_South] viewAgent=1 & AgentIsOnSlipperyNorthEast & AgentCannotSlipNorthEast & AgentCannotSlipEast & !AgentCannotSlipSouthEast & AgentCannotSlipSouth -> 1.000000: (rowAgent'=rowAgent+1)&(colAgent'=colAgent+1);
+ [Agent_move_South] viewAgent=1 & AgentIsOnSlipperyNorthEast & AgentCannotSlipNorthEast & AgentCannotSlipEast & AgentCannotSlipSouthEast & !AgentCannotSlipSouth -> 1.000000: (rowAgent'=rowAgent+1);
+ [Agent_move_South] viewAgent=1 & AgentIsOnSlipperyNorthEast & AgentCannotSlipNorthEast & AgentCannotSlipEast & AgentCannotSlipSouthEast & AgentCannotSlipSouth -> 1.000000: true;
+ [Agent_move_West] viewAgent=2 & AgentIsOnSlipperyNorthEast & !AgentCannotSlipWest & !AgentCannotSlipNorthWest & !AgentCannotSlipNorth & !AgentCannotSlipNorthEast -> 0.950000: (colAgent'=colAgent-1) + 0.016667: (rowAgent'=rowAgent-1)&(colAgent'=colAgent-1) + 0.016667: (rowAgent'=rowAgent-1) + 0.016667: (rowAgent'=rowAgent-1)&(colAgent'=colAgent+1);
+ [Agent_move_West] viewAgent=2 & AgentIsOnSlipperyNorthEast & !AgentCannotSlipWest & !AgentCannotSlipNorthWest & !AgentCannotSlipNorth & AgentCannotSlipNorthEast -> 0.966102: (colAgent'=colAgent-1) + 0.050847: (rowAgent'=rowAgent-1)&(colAgent'=colAgent-1) + 0.050847: (rowAgent'=rowAgent-1);
+ [Agent_move_West] viewAgent=2 & AgentIsOnSlipperyNorthEast & !AgentCannotSlipWest & !AgentCannotSlipNorthWest & AgentCannotSlipNorth & !AgentCannotSlipNorthEast -> 0.966102: (colAgent'=colAgent-1) + 0.050847: (rowAgent'=rowAgent-1)&(colAgent'=colAgent-1) + 0.050847: (rowAgent'=rowAgent-1)&(colAgent'=colAgent+1);
+ [Agent_move_West] viewAgent=2 & AgentIsOnSlipperyNorthEast & !AgentCannotSlipWest & !AgentCannotSlipNorthWest & AgentCannotSlipNorth & AgentCannotSlipNorthEast -> 0.982759: (colAgent'=colAgent-1) + 0.051724: (rowAgent'=rowAgent-1)&(colAgent'=colAgent-1);
+ [Agent_move_West] viewAgent=2 & AgentIsOnSlipperyNorthEast & !AgentCannotSlipWest & AgentCannotSlipNorthWest & !AgentCannotSlipNorth & !AgentCannotSlipNorthEast -> 0.966102: (colAgent'=colAgent-1) + 0.050847: (rowAgent'=rowAgent-1) + 0.050847: (rowAgent'=rowAgent-1)&(colAgent'=colAgent+1);
+ [Agent_move_West] viewAgent=2 & AgentIsOnSlipperyNorthEast & !AgentCannotSlipWest & AgentCannotSlipNorthWest & !AgentCannotSlipNorth & AgentCannotSlipNorthEast -> 0.982759: (colAgent'=colAgent-1) + 0.051724: (rowAgent'=rowAgent-1);
+ [Agent_move_West] viewAgent=2 & AgentIsOnSlipperyNorthEast & !AgentCannotSlipWest & AgentCannotSlipNorthWest & AgentCannotSlipNorth & !AgentCannotSlipNorthEast -> 0.982759: (colAgent'=colAgent-1) + 0.051724: (rowAgent'=rowAgent-1)&(colAgent'=colAgent+1);
+ [Agent_move_West] viewAgent=2 & AgentIsOnSlipperyNorthEast & !AgentCannotSlipWest & AgentCannotSlipNorthWest & AgentCannotSlipNorth & AgentCannotSlipNorthEast -> 1.000000: (colAgent'=colAgent-1);
+ [Agent_move_West] viewAgent=2 & AgentIsOnSlipperyNorthEast & AgentCannotSlipWest & !AgentCannotSlipNorthWest & !AgentCannotSlipNorth & !AgentCannotSlipNorthEast -> 0.333333: (rowAgent'=rowAgent-1)&(colAgent'=colAgent-1) + 0.333333: (rowAgent'=rowAgent-1) + 0.333333: (rowAgent'=rowAgent-1)&(colAgent'=colAgent+1);
+ [Agent_move_West] viewAgent=2 & AgentIsOnSlipperyNorthEast & AgentCannotSlipWest & !AgentCannotSlipNorthWest & !AgentCannotSlipNorth & AgentCannotSlipNorthEast -> 0.500000: (rowAgent'=rowAgent-1)&(colAgent'=colAgent-1) + 0.500000: (rowAgent'=rowAgent-1);
+ [Agent_move_West] viewAgent=2 & AgentIsOnSlipperyNorthEast & AgentCannotSlipWest & !AgentCannotSlipNorthWest & AgentCannotSlipNorth & !AgentCannotSlipNorthEast -> 0.500000: (rowAgent'=rowAgent-1)&(colAgent'=colAgent-1) + 0.500000: (rowAgent'=rowAgent-1)&(colAgent'=colAgent+1);
+ [Agent_move_West] viewAgent=2 & AgentIsOnSlipperyNorthEast & AgentCannotSlipWest & !AgentCannotSlipNorthWest & AgentCannotSlipNorth & AgentCannotSlipNorthEast -> 1.000000: (rowAgent'=rowAgent-1)&(colAgent'=colAgent-1);
+ [Agent_move_West] viewAgent=2 & AgentIsOnSlipperyNorthEast & AgentCannotSlipWest & AgentCannotSlipNorthWest & !AgentCannotSlipNorth & !AgentCannotSlipNorthEast -> 0.500000: (rowAgent'=rowAgent-1) + 0.500000: (rowAgent'=rowAgent-1)&(colAgent'=colAgent+1);
+ [Agent_move_West] viewAgent=2 & AgentIsOnSlipperyNorthEast & AgentCannotSlipWest & AgentCannotSlipNorthWest & !AgentCannotSlipNorth & AgentCannotSlipNorthEast -> 1.000000: (rowAgent'=rowAgent-1);
+ [Agent_move_West] viewAgent=2 & AgentIsOnSlipperyNorthEast & AgentCannotSlipWest & AgentCannotSlipNorthWest & AgentCannotSlipNorth & !AgentCannotSlipNorthEast -> 1.000000: (rowAgent'=rowAgent-1)&(colAgent'=colAgent+1);
+ [Agent_move_West] viewAgent=2 & AgentIsOnSlipperyNorthEast & AgentCannotSlipWest & AgentCannotSlipNorthWest & AgentCannotSlipNorth & AgentCannotSlipNorthEast -> 1.000000: true;
+ [Agent_turn_right] AgentIsOnSlipperyNorthEast & true & true -> 1.000000: (viewAgent'=mod(viewAgent+1,4));
+ [Agent_turn_left] AgentIsOnSlipperyNorthEast & true & viewAgent>0 -> 1.000000: (viewAgent'=viewAgent-1);
+ [Agent_turn_left] AgentIsOnSlipperyNorthEast & true & viewAgent=0 -> 1.000000: (viewAgent'=3);
+endmodule
+
diff --git a/notebooks/shielding_files_20241129T122432_3ui3yv2s/grid.txt b/notebooks/shielding_files_20241129T122432_3ui3yv2s/grid.txt
new file mode 100644
index 0000000..7ec2ff9
--- /dev/null
+++ b/notebooks/shielding_files_20241129T122432_3ui3yv2s/grid.txt
@@ -0,0 +1,49 @@
+WGWGWGWGWGWGWGWGWGWGWGWGWGWGWGWGWGWGWGWGWGWGWGWGWGWGWG
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+------------------------------------------------------
+WGWGWGWGWGWGWGWGWGWGWGWGWGWGWGWGWGWGWGWGWGWGWGWGWGWGWG
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+------------------------------------------------------
+------------------------------------------------------
+ProbTurnIntended:0.95
+ProbForwardIntended:0.95
diff --git a/notebooks/shielding_files_20241129T122432_3ui3yv2s/shield b/notebooks/shielding_files_20241129T122432_3ui3yv2s/shield
new file mode 100644
index 0000000..f51dbc8
--- /dev/null
+++ b/notebooks/shielding_files_20241129T122432_3ui3yv2s/shield
@@ -0,0 +1,1574 @@
+___________________________________________________________________
+Pre-Safety-Shield with absolute comparison (gamma = 1.000000):
+ model state: choice(s) [<value>: (<action {action label})>]:
+ 0: [colAgent=1 & rowAgent=1 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1: [colAgent=2 & rowAgent=1 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 2: [colAgent=3 & rowAgent=1 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
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+ 32: [colAgent=9 & rowAgent=2 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
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+ 1790: [colAgent=15 & rowAgent=18 & viewAgent=3] 1: (0 {Agent_move_North}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1791: [colAgent=16 & rowAgent=18 & viewAgent=3] 1: (0 {Agent_move_North}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1792: [colAgent=17 & rowAgent=18 & viewAgent=3] 1: (0 {Agent_move_North}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1793: [colAgent=18 & rowAgent=18 & viewAgent=3] 1: (0 {Agent_move_North}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1794: [colAgent=19 & rowAgent=18 & viewAgent=3] 1: (0 {Agent_move_North}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1795: [colAgent=20 & rowAgent=18 & viewAgent=3] 1: (0 {Agent_move_North}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1796: [colAgent=21 & rowAgent=18 & viewAgent=3] 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1797: [colAgent=22 & rowAgent=18 & viewAgent=3] 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1798: [colAgent=23 & rowAgent=18 & viewAgent=3] 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1799: [colAgent=24 & rowAgent=18 & viewAgent=3] 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1800: [colAgent=25 & rowAgent=18 & viewAgent=3] 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1801: [colAgent=2 & rowAgent=19 & viewAgent=3] 1: (0 {Agent_move_North}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1802: [colAgent=3 & rowAgent=19 & viewAgent=3] 1: (0 {Agent_move_North}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1803: [colAgent=4 & rowAgent=19 & viewAgent=3] 1: (0 {Agent_move_North}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1804: [colAgent=5 & rowAgent=19 & viewAgent=3] 1: (0 {Agent_move_North}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1805: [colAgent=6 & rowAgent=19 & viewAgent=3] 1: (0 {Agent_move_North}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1806: [colAgent=7 & rowAgent=19 & viewAgent=3] 1: (0 {Agent_move_North}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1807: [colAgent=8 & rowAgent=19 & viewAgent=3] 1: (0 {Agent_move_North}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1808: [colAgent=9 & rowAgent=19 & viewAgent=3] 1: (0 {Agent_move_North}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1809: [colAgent=10 & rowAgent=19 & viewAgent=3] 1: (0 {Agent_move_North}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1810: [colAgent=11 & rowAgent=19 & viewAgent=3] 1: (0 {Agent_move_North}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1811: [colAgent=12 & rowAgent=19 & viewAgent=3] 1: (0 {Agent_move_North}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1812: [colAgent=13 & rowAgent=19 & viewAgent=3] 1: (0 {Agent_move_North}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1813: [colAgent=14 & rowAgent=19 & viewAgent=3] 1: (0 {Agent_move_North}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1814: [colAgent=15 & rowAgent=19 & viewAgent=3] 1: (0 {Agent_move_North}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1815: [colAgent=16 & rowAgent=19 & viewAgent=3] 1: (0 {Agent_move_North}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1816: [colAgent=17 & rowAgent=19 & viewAgent=3] 1: (0 {Agent_move_North}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1817: [colAgent=18 & rowAgent=19 & viewAgent=3] 1: (0 {Agent_move_North}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1818: [colAgent=19 & rowAgent=19 & viewAgent=3] 1: (0 {Agent_move_North}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1819: [colAgent=20 & rowAgent=19 & viewAgent=3] 1: (0 {Agent_move_North}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1820: [colAgent=21 & rowAgent=19 & viewAgent=3] 1: (0 {Agent_move_North}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1821: [colAgent=22 & rowAgent=19 & viewAgent=3] 1: (0 {Agent_move_North}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1822: [colAgent=23 & rowAgent=19 & viewAgent=3] 1: (0 {Agent_move_North}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1823: [colAgent=24 & rowAgent=19 & viewAgent=3] 1: (0 {Agent_move_North}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1824: [colAgent=25 & rowAgent=19 & viewAgent=3] 1: (0 {Agent_move_North}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1825: [colAgent=2 & rowAgent=20 & viewAgent=3] 1: (0 {Agent_move_North}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1826: [colAgent=3 & rowAgent=20 & viewAgent=3] 1: (0 {Agent_move_North}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1827: [colAgent=4 & rowAgent=20 & viewAgent=3] 1: (0 {Agent_move_North}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1828: [colAgent=5 & rowAgent=20 & viewAgent=3] 1: (0 {Agent_move_North}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1829: [colAgent=6 & rowAgent=20 & viewAgent=3] 1: (0 {Agent_move_North}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1830: [colAgent=7 & rowAgent=20 & viewAgent=3] 1: (0 {Agent_move_North}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
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+ 1832: [colAgent=9 & rowAgent=20 & viewAgent=3] 1: (0 {Agent_move_North}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1833: [colAgent=10 & rowAgent=20 & viewAgent=3] 1: (0 {Agent_move_North}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1834: [colAgent=11 & rowAgent=20 & viewAgent=3] 1: (0 {Agent_move_North}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1835: [colAgent=12 & rowAgent=20 & viewAgent=3] 1: (0 {Agent_move_North}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1836: [colAgent=13 & rowAgent=20 & viewAgent=3] 1: (0 {Agent_move_North}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1837: [colAgent=14 & rowAgent=20 & viewAgent=3] 1: (0 {Agent_move_North}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1838: [colAgent=15 & rowAgent=20 & viewAgent=3] 1: (0 {Agent_move_North}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1839: [colAgent=16 & rowAgent=20 & viewAgent=3] 1: (0 {Agent_move_North}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1840: [colAgent=17 & rowAgent=20 & viewAgent=3] 1: (0 {Agent_move_North}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1841: [colAgent=18 & rowAgent=20 & viewAgent=3] 1: (0 {Agent_move_North}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1842: [colAgent=19 & rowAgent=20 & viewAgent=3] 1: (0 {Agent_move_North}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1843: [colAgent=20 & rowAgent=20 & viewAgent=3] 1: (0 {Agent_move_North}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1844: [colAgent=21 & rowAgent=20 & viewAgent=3] 1: (0 {Agent_move_North}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1845: [colAgent=22 & rowAgent=20 & viewAgent=3] 1: (0 {Agent_move_North}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
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+ 1847: [colAgent=24 & rowAgent=20 & viewAgent=3] 1: (0 {Agent_move_North}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1848: [colAgent=25 & rowAgent=20 & viewAgent=3] 1: (0 {Agent_move_North}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
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+ 1850: [colAgent=1 & rowAgent=1 & viewAgent=3] 1: (0 {Agent_move_North}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
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+ 1862: [colAgent=7 & rowAgent=1 & viewAgent=3] 1: (0 {Agent_move_North}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
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+ 1864: [colAgent=8 & rowAgent=1 & viewAgent=3] 1: (0 {Agent_move_North}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
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+ 1866: [colAgent=9 & rowAgent=1 & viewAgent=3] 1: (0 {Agent_move_North}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1867: [colAgent=10 & rowAgent=1 & viewAgent=1] 1: (0 {Agent_move_South}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1868: [colAgent=10 & rowAgent=1 & viewAgent=3] 1: (0 {Agent_move_North}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
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+ 1870: [colAgent=11 & rowAgent=1 & viewAgent=3] 1: (0 {Agent_move_North}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
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+ 1874: [colAgent=13 & rowAgent=1 & viewAgent=3] 1: (0 {Agent_move_North}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
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+ 1876: [colAgent=14 & rowAgent=1 & viewAgent=3] 1: (0 {Agent_move_North}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
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+ 1880: [colAgent=20 & rowAgent=1 & viewAgent=3] 1: (0 {Agent_move_North}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
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+ 1882: [colAgent=21 & rowAgent=1 & viewAgent=3] 1: (0 {Agent_move_North}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1883: [colAgent=22 & rowAgent=1 & viewAgent=1] 1: (0 {Agent_move_South}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1884: [colAgent=22 & rowAgent=1 & viewAgent=3] 1: (0 {Agent_move_North}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1885: [colAgent=23 & rowAgent=1 & viewAgent=1] 1: (0 {Agent_move_South}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1886: [colAgent=23 & rowAgent=1 & viewAgent=3] 1: (0 {Agent_move_North}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1887: [colAgent=24 & rowAgent=1 & viewAgent=1] 1: (0 {Agent_move_South}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1888: [colAgent=24 & rowAgent=1 & viewAgent=3] 1: (0 {Agent_move_North}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1889: [colAgent=25 & rowAgent=1 & viewAgent=1] 1: (0 {Agent_move_South}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1890: [colAgent=25 & rowAgent=1 & viewAgent=3] 1: (0 {Agent_move_North}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
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+ 1892: [colAgent=1 & rowAgent=1 & viewAgent=2] 1: (0 {Agent_move_West}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1893: [colAgent=2 & rowAgent=1 & viewAgent=2] 1: (0 {Agent_move_West}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1894: [colAgent=3 & rowAgent=1 & viewAgent=2] 1: (0 {Agent_move_West}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1895: [colAgent=4 & rowAgent=1 & viewAgent=2] 1: (0 {Agent_move_West}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1896: [colAgent=5 & rowAgent=1 & viewAgent=2] 1: (0 {Agent_move_West}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1897: [colAgent=6 & rowAgent=1 & viewAgent=2] 1: (0 {Agent_move_West}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1898: [colAgent=7 & rowAgent=1 & viewAgent=2] 1: (0 {Agent_move_West}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1899: [colAgent=8 & rowAgent=1 & viewAgent=2] 1: (0 {Agent_move_West}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1900: [colAgent=9 & rowAgent=1 & viewAgent=2] 1: (0 {Agent_move_West}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1901: [colAgent=10 & rowAgent=1 & viewAgent=2] 1: (0 {Agent_move_West}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1902: [colAgent=12 & rowAgent=1 & viewAgent=2] 1: (0 {Agent_move_West}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1903: [colAgent=13 & rowAgent=1 & viewAgent=2] 1: (0 {Agent_move_West}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1904: [colAgent=14 & rowAgent=1 & viewAgent=2] 1: (0 {Agent_move_West}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1905: [colAgent=15 & rowAgent=1 & viewAgent=2] 1: (0 {Agent_move_West}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1907: [colAgent=20 & rowAgent=1 & viewAgent=2] 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1908: [colAgent=21 & rowAgent=1 & viewAgent=2] 1: (0 {Agent_move_West}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1909: [colAgent=22 & rowAgent=1 & viewAgent=2] 1: (0 {Agent_move_West}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1910: [colAgent=23 & rowAgent=1 & viewAgent=2] 1: (0 {Agent_move_West}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1911: [colAgent=24 & rowAgent=1 & viewAgent=2] 1: (0 {Agent_move_West}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1912: [colAgent=25 & rowAgent=1 & viewAgent=2] 1: (0 {Agent_move_West}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
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+ 1914: [colAgent=1 & rowAgent=4 & viewAgent=2] 1: (0 {Agent_move_West}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1915: [colAgent=1 & rowAgent=5 & viewAgent=2] 1: (0 {Agent_move_West}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1916: [colAgent=1 & rowAgent=6 & viewAgent=2] 1: (0 {Agent_move_West}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1917: [colAgent=1 & rowAgent=11 & viewAgent=2] 1: (0 {Agent_move_West}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1918: [colAgent=1 & rowAgent=10 & viewAgent=2] 1: (0 {Agent_move_West}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1919: [colAgent=1 & rowAgent=12 & viewAgent=2] 1: (0 {Agent_move_West}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1920: [colAgent=1 & rowAgent=13 & viewAgent=2] 1: (0 {Agent_move_West}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1921: [colAgent=1 & rowAgent=14 & viewAgent=2] 1: (0 {Agent_move_West}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1922: [colAgent=1 & rowAgent=15 & viewAgent=2] 1: (0 {Agent_move_West}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1923: [colAgent=1 & rowAgent=16 & viewAgent=2] 1: (0 {Agent_move_West}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1926: [colAgent=1 & rowAgent=2 & viewAgent=1] 1: (0 {Agent_move_South}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1927: [colAgent=11 & rowAgent=1 & viewAgent=2] 1: (0 {Agent_move_West}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1928: [colAgent=1 & rowAgent=2 & viewAgent=3] 1: (0 {Agent_move_North}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1929: [colAgent=1 & rowAgent=3 & viewAgent=3] 1: (0 {Agent_move_North}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1930: [colAgent=1 & rowAgent=3 & viewAgent=1] 1: (0 {Agent_move_South}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1931: [colAgent=1 & rowAgent=4 & viewAgent=3] 1: (0 {Agent_move_North}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1932: [colAgent=1 & rowAgent=4 & viewAgent=1] 1: (0 {Agent_move_South}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1933: [colAgent=1 & rowAgent=5 & viewAgent=3] 1: (0 {Agent_move_North}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1934: [colAgent=1 & rowAgent=5 & viewAgent=1] 1: (0 {Agent_move_South}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1935: [colAgent=1 & rowAgent=6 & viewAgent=3] 1: (0 {Agent_move_North}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1936: [colAgent=1 & rowAgent=6 & viewAgent=1] 1: (0 {Agent_move_South}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1937: [colAgent=1 & rowAgent=11 & viewAgent=3] 1: (0 {Agent_move_North}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1938: [colAgent=1 & rowAgent=11 & viewAgent=1] 1: (0 {Agent_move_South}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1939: [colAgent=1 & rowAgent=10 & viewAgent=3] 1: (0 {Agent_move_North}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1940: [colAgent=1 & rowAgent=10 & viewAgent=1] 1: (0 {Agent_move_South}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1941: [colAgent=1 & rowAgent=12 & viewAgent=3] 1: (0 {Agent_move_North}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1942: [colAgent=1 & rowAgent=12 & viewAgent=1] 1: (0 {Agent_move_South}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1943: [colAgent=1 & rowAgent=13 & viewAgent=3] 1: (0 {Agent_move_North}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1944: [colAgent=1 & rowAgent=13 & viewAgent=1] 1: (0 {Agent_move_South}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1945: [colAgent=1 & rowAgent=14 & viewAgent=3] 1: (0 {Agent_move_North}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1946: [colAgent=1 & rowAgent=14 & viewAgent=1] 1: (0 {Agent_move_South}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1947: [colAgent=1 & rowAgent=15 & viewAgent=3] 1: (0 {Agent_move_North}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1948: [colAgent=1 & rowAgent=15 & viewAgent=1] 1: (0 {Agent_move_South}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1949: [colAgent=1 & rowAgent=16 & viewAgent=3] 1: (0 {Agent_move_North}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1950: [colAgent=1 & rowAgent=16 & viewAgent=1] 1: (0 {Agent_move_South}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1951: [colAgent=1 & rowAgent=2 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1952: [colAgent=1 & rowAgent=3 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1953: [colAgent=1 & rowAgent=4 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1954: [colAgent=1 & rowAgent=5 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1955: [colAgent=1 & rowAgent=6 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1956: [colAgent=1 & rowAgent=7 & viewAgent=1] 1: (0 {Agent_move_South}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1957: [colAgent=1 & rowAgent=11 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1958: [colAgent=1 & rowAgent=9 & viewAgent=3] 1: (0 {Agent_move_North}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1959: [colAgent=1 & rowAgent=10 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1960: [colAgent=1 & rowAgent=12 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1961: [colAgent=1 & rowAgent=13 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1962: [colAgent=1 & rowAgent=14 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1963: [colAgent=1 & rowAgent=15 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1964: [colAgent=1 & rowAgent=16 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1965: [colAgent=1 & rowAgent=17 & viewAgent=1] 1: (0 {Agent_move_South}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1966: [colAgent=1 & rowAgent=8 & viewAgent=1] 1: (0 {Agent_move_South}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1967: [colAgent=1 & rowAgent=7 & viewAgent=2] 1: (0 {Agent_move_West}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1968: [colAgent=1 & rowAgent=7 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1969: [colAgent=1 & rowAgent=8 & viewAgent=3] 1: (0 {Agent_move_North}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1970: [colAgent=1 & rowAgent=9 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1971: [colAgent=1 & rowAgent=9 & viewAgent=2] 1: (0 {Agent_move_West}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1972: [colAgent=1 & rowAgent=18 & viewAgent=1] 1: (0 {Agent_move_South}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1973: [colAgent=1 & rowAgent=17 & viewAgent=2] 1: (0 {Agent_move_West}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1974: [colAgent=1 & rowAgent=17 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1975: [colAgent=1 & rowAgent=9 & viewAgent=1] 1: (0 {Agent_move_South}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1976: [colAgent=1 & rowAgent=8 & viewAgent=2] 1: (0 {Agent_move_West}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1977: [colAgent=1 & rowAgent=8 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1978: [colAgent=1 & rowAgent=7 & viewAgent=3] 1: (0 {Agent_move_North}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1979: [colAgent=1 & rowAgent=19 & viewAgent=1] 1: (0 {Agent_move_South}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1980: [colAgent=1 & rowAgent=18 & viewAgent=2] 1: (0 {Agent_move_West}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1981: [colAgent=1 & rowAgent=18 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1982: [colAgent=1 & rowAgent=17 & viewAgent=3] 1: (0 {Agent_move_North}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1983: [colAgent=1 & rowAgent=20 & viewAgent=1] 1: (0 {Agent_move_South}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1984: [colAgent=1 & rowAgent=19 & viewAgent=2] 1: (0 {Agent_move_West}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1985: [colAgent=1 & rowAgent=19 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1986: [colAgent=1 & rowAgent=18 & viewAgent=3] 1: (0 {Agent_move_North}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1987: [colAgent=1 & rowAgent=20 & viewAgent=2] 1: (0 {Agent_move_West}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1988: [colAgent=1 & rowAgent=20 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1989: [colAgent=1 & rowAgent=19 & viewAgent=3] 1: (0 {Agent_move_North}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1990: [colAgent=1 & rowAgent=20 & viewAgent=3] 1: (0 {Agent_move_North}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+___________________________________________________________________
diff --git a/notebooks/shielding_files_20241129T122454_58hszne6/grid.prism b/notebooks/shielding_files_20241129T122454_58hszne6/grid.prism
new file mode 100644
index 0000000..094add1
--- /dev/null
+++ b/notebooks/shielding_files_20241129T122454_58hszne6/grid.prism
@@ -0,0 +1,183 @@
+mdp
+
+formula AgentCannotMoveEastWall = (colAgent=25&rowAgent=10) | (colAgent=25&rowAgent=14) | (colAgent=25&rowAgent=15) | (colAgent=25&rowAgent=16) | (colAgent=25&rowAgent=17);
+formula AgentCannotMoveNorthWall = (colAgent=16&rowAgent=1) | (colAgent=17&rowAgent=1) | (colAgent=18&rowAgent=1) | (colAgent=19&rowAgent=1);
+formula AgentCannotMoveSouthWall = false;
+formula AgentCannotMoveWestWall = (colAgent=1&rowAgent=7);
+formula AgentIsOnSlipperyEast = (colAgent=10&rowAgent=2) | (colAgent=11&rowAgent=2) | (colAgent=12&rowAgent=2) | (colAgent=16&rowAgent=3) | (colAgent=17&rowAgent=3) | (colAgent=18&rowAgent=3) | (colAgent=19&rowAgent=3) | (colAgent=16&rowAgent=6) | (colAgent=17&rowAgent=6) | (colAgent=18&rowAgent=6) | (colAgent=19&rowAgent=6) | (colAgent=20&rowAgent=6) | (colAgent=21&rowAgent=6) | (colAgent=22&rowAgent=6) | (colAgent=1&rowAgent=7) | (colAgent=2&rowAgent=7) | (colAgent=3&rowAgent=7) | (colAgent=4&rowAgent=7) | (colAgent=5&rowAgent=7) | (colAgent=6&rowAgent=7) | (colAgent=7&rowAgent=7) | (colAgent=8&rowAgent=7) | (colAgent=9&rowAgent=7) | (colAgent=10&rowAgent=7) | (colAgent=11&rowAgent=7) | (colAgent=1&rowAgent=8) | (colAgent=2&rowAgent=8) | (colAgent=3&rowAgent=8) | (colAgent=4&rowAgent=8) | (colAgent=5&rowAgent=8) | (colAgent=6&rowAgent=8) | (colAgent=7&rowAgent=8) | (colAgent=8&rowAgent=8) | (colAgent=1&rowAgent=9) | (colAgent=2&rowAgent=9) | (colAgent=3&rowAgent=9) | (colAgent=4&rowAgent=9) | (colAgent=5&rowAgent=9) | (colAgent=6&rowAgent=9) | (colAgent=7&rowAgent=9) | (colAgent=8&rowAgent=9) | (colAgent=1&rowAgent=10) | (colAgent=2&rowAgent=10) | (colAgent=3&rowAgent=10) | (colAgent=4&rowAgent=10) | (colAgent=5&rowAgent=10) | (colAgent=6&rowAgent=10) | (colAgent=7&rowAgent=10) | (colAgent=16&rowAgent=12) | (colAgent=17&rowAgent=12) | (colAgent=18&rowAgent=12) | (colAgent=19&rowAgent=12) | (colAgent=20&rowAgent=12) | (colAgent=21&rowAgent=12) | (colAgent=22&rowAgent=13) | (colAgent=23&rowAgent=13) | (colAgent=24&rowAgent=13) | (colAgent=25&rowAgent=13) | (colAgent=1&rowAgent=17) | (colAgent=2&rowAgent=17) | (colAgent=3&rowAgent=17) | (colAgent=4&rowAgent=17) | (colAgent=5&rowAgent=17) | (colAgent=6&rowAgent=17) | (colAgent=7&rowAgent=17) | (colAgent=8&rowAgent=17) | (colAgent=9&rowAgent=17) | (colAgent=10&rowAgent=17) | (colAgent=11&rowAgent=17) | (colAgent=12&rowAgent=17) | (colAgent=13&rowAgent=17) | (colAgent=14&rowAgent=17) | (colAgent=15&rowAgent=17) | (colAgent=1&rowAgent=18) | (colAgent=2&rowAgent=18) | (colAgent=3&rowAgent=18) | (colAgent=4&rowAgent=18) | (colAgent=5&rowAgent=18) | (colAgent=6&rowAgent=18) | (colAgent=7&rowAgent=18) | (colAgent=8&rowAgent=18) | (colAgent=9&rowAgent=18) | (colAgent=10&rowAgent=18) | (colAgent=11&rowAgent=18) | (colAgent=12&rowAgent=18) | (colAgent=13&rowAgent=18) | (colAgent=14&rowAgent=18) | (colAgent=15&rowAgent=18) | (colAgent=16&rowAgent=18) | (colAgent=22&rowAgent=18) | (colAgent=23&rowAgent=18) | (colAgent=24&rowAgent=18) | (colAgent=25&rowAgent=18) | (colAgent=1&rowAgent=19) | (colAgent=2&rowAgent=19) | (colAgent=3&rowAgent=19) | (colAgent=4&rowAgent=19) | (colAgent=5&rowAgent=19) | (colAgent=6&rowAgent=19) | (colAgent=7&rowAgent=19) | (colAgent=8&rowAgent=19) | (colAgent=9&rowAgent=19) | (colAgent=10&rowAgent=19) | (colAgent=11&rowAgent=19) | (colAgent=12&rowAgent=19) | (colAgent=13&rowAgent=19) | (colAgent=14&rowAgent=19) | (colAgent=15&rowAgent=19) | (colAgent=16&rowAgent=19) | (colAgent=17&rowAgent=19) | (colAgent=1&rowAgent=20) | (colAgent=2&rowAgent=20) | (colAgent=3&rowAgent=20) | (colAgent=4&rowAgent=20) | (colAgent=5&rowAgent=20) | (colAgent=6&rowAgent=20) | (colAgent=7&rowAgent=20) | (colAgent=8&rowAgent=20) | (colAgent=9&rowAgent=20) | (colAgent=10&rowAgent=20) | (colAgent=11&rowAgent=20) | (colAgent=12&rowAgent=20) | (colAgent=13&rowAgent=20) | (colAgent=14&rowAgent=20) | (colAgent=15&rowAgent=20) | (colAgent=16&rowAgent=20) | (colAgent=17&rowAgent=20) | (colAgent=18&rowAgent=20);
+formula AgentIsOnSlipperyNorth = (colAgent=15&rowAgent=1) | (colAgent=20&rowAgent=1) | (colAgent=15&rowAgent=2) | (colAgent=20&rowAgent=2) | (colAgent=13&rowAgent=3) | (colAgent=13&rowAgent=4) | (colAgent=13&rowAgent=5) | (colAgent=13&rowAgent=6) | (colAgent=15&rowAgent=7) | (colAgent=24&rowAgent=7) | (colAgent=15&rowAgent=8) | (colAgent=24&rowAgent=8) | (colAgent=15&rowAgent=9) | (colAgent=24&rowAgent=9) | (colAgent=15&rowAgent=10) | (colAgent=24&rowAgent=10) | (colAgent=13&rowAgent=11) | (colAgent=15&rowAgent=11) | (colAgent=24&rowAgent=11) | (colAgent=13&rowAgent=12) | (colAgent=13&rowAgent=13) | (colAgent=13&rowAgent=14) | (colAgent=21&rowAgent=14) | (colAgent=13&rowAgent=15) | (colAgent=21&rowAgent=15) | (colAgent=13&rowAgent=16) | (colAgent=21&rowAgent=16) | (colAgent=21&rowAgent=17);
+formula AgentIsOnSlipperyNorthEast = (colAgent=1&rowAgent=1) | (colAgent=2&rowAgent=1) | (colAgent=3&rowAgent=1) | (colAgent=4&rowAgent=1) | (colAgent=5&rowAgent=1) | (colAgent=6&rowAgent=1) | (colAgent=7&rowAgent=1) | (colAgent=8&rowAgent=1) | (colAgent=9&rowAgent=1) | (colAgent=10&rowAgent=1) | (colAgent=11&rowAgent=1) | (colAgent=12&rowAgent=1) | (colAgent=13&rowAgent=1) | (colAgent=14&rowAgent=1) | (colAgent=21&rowAgent=1) | (colAgent=22&rowAgent=1) | (colAgent=23&rowAgent=1) | (colAgent=24&rowAgent=1) | (colAgent=25&rowAgent=1) | (colAgent=1&rowAgent=2) | (colAgent=2&rowAgent=2) | (colAgent=3&rowAgent=2) | (colAgent=4&rowAgent=2) | (colAgent=5&rowAgent=2) | (colAgent=6&rowAgent=2) | (colAgent=7&rowAgent=2) | (colAgent=8&rowAgent=2) | (colAgent=9&rowAgent=2) | (colAgent=13&rowAgent=2) | (colAgent=14&rowAgent=2) | (colAgent=21&rowAgent=2) | (colAgent=22&rowAgent=2) | (colAgent=23&rowAgent=2) | (colAgent=24&rowAgent=2) | (colAgent=25&rowAgent=2) | (colAgent=1&rowAgent=3) | (colAgent=2&rowAgent=3) | (colAgent=3&rowAgent=3) | (colAgent=4&rowAgent=3) | (colAgent=5&rowAgent=3) | (colAgent=6&rowAgent=3) | (colAgent=7&rowAgent=3) | (colAgent=8&rowAgent=3) | (colAgent=9&rowAgent=3) | (colAgent=14&rowAgent=3) | (colAgent=15&rowAgent=3) | (colAgent=20&rowAgent=3) | (colAgent=21&rowAgent=3) | (colAgent=22&rowAgent=3) | (colAgent=23&rowAgent=3) | (colAgent=24&rowAgent=3) | (colAgent=25&rowAgent=3) | (colAgent=1&rowAgent=4) | (colAgent=2&rowAgent=4) | (colAgent=3&rowAgent=4) | (colAgent=4&rowAgent=4) | (colAgent=5&rowAgent=4) | (colAgent=6&rowAgent=4) | (colAgent=7&rowAgent=4) | (colAgent=8&rowAgent=4) | (colAgent=9&rowAgent=4) | (colAgent=14&rowAgent=4) | (colAgent=15&rowAgent=4) | (colAgent=16&rowAgent=4) | (colAgent=17&rowAgent=4) | (colAgent=18&rowAgent=4) | (colAgent=19&rowAgent=4) | (colAgent=20&rowAgent=4) | (colAgent=21&rowAgent=4) | (colAgent=22&rowAgent=4) | (colAgent=23&rowAgent=4) | (colAgent=24&rowAgent=4) | (colAgent=25&rowAgent=4) | (colAgent=1&rowAgent=5) | (colAgent=2&rowAgent=5) | (colAgent=3&rowAgent=5) | (colAgent=4&rowAgent=5) | (colAgent=5&rowAgent=5) | (colAgent=6&rowAgent=5) | (colAgent=7&rowAgent=5) | (colAgent=8&rowAgent=5) | (colAgent=9&rowAgent=5) | (colAgent=14&rowAgent=5) | (colAgent=15&rowAgent=5) | (colAgent=16&rowAgent=5) | (colAgent=17&rowAgent=5) | (colAgent=18&rowAgent=5) | (colAgent=19&rowAgent=5) | (colAgent=20&rowAgent=5) | (colAgent=21&rowAgent=5) | (colAgent=22&rowAgent=5) | (colAgent=23&rowAgent=5) | (colAgent=24&rowAgent=5) | (colAgent=25&rowAgent=5) | (colAgent=1&rowAgent=6) | (colAgent=2&rowAgent=6) | (colAgent=3&rowAgent=6) | (colAgent=4&rowAgent=6) | (colAgent=5&rowAgent=6) | (colAgent=6&rowAgent=6) | (colAgent=7&rowAgent=6) | (colAgent=8&rowAgent=6) | (colAgent=9&rowAgent=6) | (colAgent=14&rowAgent=6) | (colAgent=15&rowAgent=6) | (colAgent=23&rowAgent=6) | (colAgent=24&rowAgent=6) | (colAgent=25&rowAgent=6) | (colAgent=13&rowAgent=7) | (colAgent=14&rowAgent=7) | (colAgent=25&rowAgent=7) | (colAgent=9&rowAgent=8) | (colAgent=10&rowAgent=8) | (colAgent=11&rowAgent=8) | (colAgent=13&rowAgent=8) | (colAgent=14&rowAgent=8) | (colAgent=25&rowAgent=8) | (colAgent=9&rowAgent=9) | (colAgent=13&rowAgent=9) | (colAgent=14&rowAgent=9) | (colAgent=25&rowAgent=9) | (colAgent=8&rowAgent=10) | (colAgent=13&rowAgent=10) | (colAgent=14&rowAgent=10) | (colAgent=1&rowAgent=11) | (colAgent=2&rowAgent=11) | (colAgent=3&rowAgent=11) | (colAgent=4&rowAgent=11) | (colAgent=5&rowAgent=11) | (colAgent=6&rowAgent=11) | (colAgent=7&rowAgent=11) | (colAgent=14&rowAgent=11) | (colAgent=25&rowAgent=11) | (colAgent=1&rowAgent=12) | (colAgent=2&rowAgent=12) | (colAgent=3&rowAgent=12) | (colAgent=4&rowAgent=12) | (colAgent=5&rowAgent=12) | (colAgent=6&rowAgent=12) | (colAgent=7&rowAgent=12) | (colAgent=14&rowAgent=12) | (colAgent=15&rowAgent=12) | (colAgent=22&rowAgent=12) | (colAgent=23&rowAgent=12) | (colAgent=24&rowAgent=12) | (colAgent=25&rowAgent=12) | (colAgent=1&rowAgent=13) | (colAgent=2&rowAgent=13) | (colAgent=3&rowAgent=13) | (colAgent=4&rowAgent=13) | (colAgent=5&rowAgent=13) | (colAgent=6&rowAgent=13) | (colAgent=7&rowAgent=13) | (colAgent=14&rowAgent=13) | (colAgent=15&rowAgent=13) | (colAgent=16&rowAgent=13) | (colAgent=17&rowAgent=13) | (colAgent=18&rowAgent=13) | (colAgent=19&rowAgent=13) | (colAgent=20&rowAgent=13) | (colAgent=21&rowAgent=13) | (colAgent=1&rowAgent=14) | (colAgent=2&rowAgent=14) | (colAgent=3&rowAgent=14) | (colAgent=4&rowAgent=14) | (colAgent=5&rowAgent=14) | (colAgent=6&rowAgent=14) | (colAgent=7&rowAgent=14) | (colAgent=14&rowAgent=14) | (colAgent=15&rowAgent=14) | (colAgent=16&rowAgent=14) | (colAgent=17&rowAgent=14) | (colAgent=18&rowAgent=14) | (colAgent=19&rowAgent=14) | (colAgent=20&rowAgent=14) | (colAgent=1&rowAgent=15) | (colAgent=2&rowAgent=15) | (colAgent=3&rowAgent=15) | (colAgent=4&rowAgent=15) | (colAgent=5&rowAgent=15) | (colAgent=6&rowAgent=15) | (colAgent=7&rowAgent=15) | (colAgent=14&rowAgent=15) | (colAgent=15&rowAgent=15) | (colAgent=16&rowAgent=15) | (colAgent=17&rowAgent=15) | (colAgent=18&rowAgent=15) | (colAgent=19&rowAgent=15) | (colAgent=20&rowAgent=15) | (colAgent=1&rowAgent=16) | (colAgent=2&rowAgent=16) | (colAgent=3&rowAgent=16) | (colAgent=4&rowAgent=16) | (colAgent=5&rowAgent=16) | (colAgent=6&rowAgent=16) | (colAgent=7&rowAgent=16) | (colAgent=14&rowAgent=16) | (colAgent=15&rowAgent=16) | (colAgent=16&rowAgent=16) | (colAgent=17&rowAgent=16) | (colAgent=18&rowAgent=16) | (colAgent=19&rowAgent=16) | (colAgent=20&rowAgent=16) | (colAgent=16&rowAgent=17) | (colAgent=17&rowAgent=17) | (colAgent=18&rowAgent=17) | (colAgent=19&rowAgent=17) | (colAgent=20&rowAgent=17) | (colAgent=17&rowAgent=18) | (colAgent=18&rowAgent=18) | (colAgent=19&rowAgent=18) | (colAgent=20&rowAgent=18) | (colAgent=21&rowAgent=18) | (colAgent=18&rowAgent=19) | (colAgent=19&rowAgent=19) | (colAgent=20&rowAgent=19) | (colAgent=21&rowAgent=19) | (colAgent=22&rowAgent=19) | (colAgent=23&rowAgent=19) | (colAgent=24&rowAgent=19) | (colAgent=25&rowAgent=19) | (colAgent=19&rowAgent=20) | (colAgent=20&rowAgent=20) | (colAgent=21&rowAgent=20) | (colAgent=22&rowAgent=20) | (colAgent=23&rowAgent=20) | (colAgent=24&rowAgent=20) | (colAgent=25&rowAgent=20);
+formula AgentIsOnSlipperyNorthWest = false;
+formula AgentIsOnSlipperySouth = (colAgent=12&rowAgent=7) | (colAgent=12&rowAgent=8) | (colAgent=12&rowAgent=9) | (colAgent=12&rowAgent=10);
+formula AgentIsOnSlipperySouthEast = false;
+formula AgentIsOnSlipperySouthWest = false;
+formula AgentIsOnSlipperyWest = (colAgent=10&rowAgent=9) | (colAgent=11&rowAgent=9) | (colAgent=9&rowAgent=10) | (colAgent=10&rowAgent=10) | (colAgent=11&rowAgent=10);
+formula AgentIsOnSlippery = AgentIsOnSlipperyEast | AgentIsOnSlipperyNorth | AgentIsOnSlipperyNorthEast | AgentIsOnSlipperyNorthWest | AgentIsOnSlipperySouth | AgentIsOnSlipperySouthEast | AgentIsOnSlipperySouthWest | AgentIsOnSlipperyWest;
+formula AgentCannotSlipEast = (colAgent+1=0&rowAgent=0) | (colAgent+1=1&rowAgent=0) | (colAgent+1=2&rowAgent=0) | (colAgent+1=3&rowAgent=0) | (colAgent+1=4&rowAgent=0) | (colAgent+1=5&rowAgent=0) | (colAgent+1=6&rowAgent=0) | (colAgent+1=7&rowAgent=0) | (colAgent+1=8&rowAgent=0) | (colAgent+1=9&rowAgent=0) | (colAgent+1=10&rowAgent=0) | (colAgent+1=11&rowAgent=0) | (colAgent+1=12&rowAgent=0) | (colAgent+1=13&rowAgent=0) | (colAgent+1=14&rowAgent=0) | (colAgent+1=15&rowAgent=0) | (colAgent+1=16&rowAgent=0) | (colAgent+1=17&rowAgent=0) | (colAgent+1=18&rowAgent=0) | (colAgent+1=19&rowAgent=0) | (colAgent+1=20&rowAgent=0) | (colAgent+1=21&rowAgent=0) | (colAgent+1=22&rowAgent=0) | (colAgent+1=23&rowAgent=0) | (colAgent+1=24&rowAgent=0) | (colAgent+1=25&rowAgent=0) | (colAgent+1=26&rowAgent=0) | (colAgent+1=0&rowAgent=1) | (colAgent+1=26&rowAgent=1) | (colAgent+1=0&rowAgent=2) | (colAgent+1=26&rowAgent=2) | (colAgent+1=0&rowAgent=3) | (colAgent+1=26&rowAgent=3) | (colAgent+1=0&rowAgent=4) | (colAgent+1=26&rowAgent=4) | (colAgent+1=0&rowAgent=5) | (colAgent+1=26&rowAgent=5) | (colAgent+1=0&rowAgent=6) | (colAgent+1=26&rowAgent=6) | (colAgent+1=0&rowAgent=7) | (colAgent+1=26&rowAgent=7) | (colAgent+1=0&rowAgent=8) | (colAgent+1=26&rowAgent=8) | (colAgent+1=0&rowAgent=9) | (colAgent+1=26&rowAgent=9) | (colAgent+1=0&rowAgent=10) | (colAgent+1=26&rowAgent=10) | (colAgent+1=0&rowAgent=11) | (colAgent+1=26&rowAgent=11) | (colAgent+1=0&rowAgent=12) | (colAgent+1=26&rowAgent=12) | (colAgent+1=0&rowAgent=13) | (colAgent+1=26&rowAgent=13) | (colAgent+1=0&rowAgent=14) | (colAgent+1=26&rowAgent=14) | (colAgent+1=0&rowAgent=15) | (colAgent+1=26&rowAgent=15) | (colAgent+1=0&rowAgent=16) | (colAgent+1=26&rowAgent=16) | (colAgent+1=0&rowAgent=17) | (colAgent+1=26&rowAgent=17) | (colAgent+1=0&rowAgent=18) | (colAgent+1=26&rowAgent=18) | (colAgent+1=0&rowAgent=19) | (colAgent+1=26&rowAgent=19) | (colAgent+1=0&rowAgent=20) | (colAgent+1=26&rowAgent=20) | (colAgent+1=0&rowAgent=21) | (colAgent+1=1&rowAgent=21) | (colAgent+1=2&rowAgent=21) | (colAgent+1=3&rowAgent=21) | (colAgent+1=4&rowAgent=21) | (colAgent+1=5&rowAgent=21) | (colAgent+1=6&rowAgent=21) | (colAgent+1=7&rowAgent=21) | (colAgent+1=8&rowAgent=21) | (colAgent+1=9&rowAgent=21) | (colAgent+1=10&rowAgent=21) | (colAgent+1=11&rowAgent=21) | (colAgent+1=12&rowAgent=21) | (colAgent+1=13&rowAgent=21) | (colAgent+1=14&rowAgent=21) | (colAgent+1=15&rowAgent=21) | (colAgent+1=16&rowAgent=21) | (colAgent+1=17&rowAgent=21) | (colAgent+1=18&rowAgent=21) | (colAgent+1=19&rowAgent=21) | (colAgent+1=20&rowAgent=21) | (colAgent+1=21&rowAgent=21) | (colAgent+1=22&rowAgent=21) | (colAgent+1=23&rowAgent=21) | (colAgent+1=24&rowAgent=21) | (colAgent+1=25&rowAgent=21) | (colAgent+1=26&rowAgent=21);
+formula AgentCannotSlipNorth = (colAgent=0&rowAgent-1=0) | (colAgent=1&rowAgent-1=0) | (colAgent=2&rowAgent-1=0) | (colAgent=3&rowAgent-1=0) | (colAgent=4&rowAgent-1=0) | (colAgent=5&rowAgent-1=0) | (colAgent=6&rowAgent-1=0) | (colAgent=7&rowAgent-1=0) | (colAgent=8&rowAgent-1=0) | (colAgent=9&rowAgent-1=0) | (colAgent=10&rowAgent-1=0) | (colAgent=11&rowAgent-1=0) | (colAgent=12&rowAgent-1=0) | (colAgent=13&rowAgent-1=0) | (colAgent=14&rowAgent-1=0) | (colAgent=15&rowAgent-1=0) | (colAgent=16&rowAgent-1=0) | (colAgent=17&rowAgent-1=0) | (colAgent=18&rowAgent-1=0) | (colAgent=19&rowAgent-1=0) | (colAgent=20&rowAgent-1=0) | (colAgent=21&rowAgent-1=0) | (colAgent=22&rowAgent-1=0) | (colAgent=23&rowAgent-1=0) | (colAgent=24&rowAgent-1=0) | (colAgent=25&rowAgent-1=0) | (colAgent=26&rowAgent-1=0) | (colAgent=0&rowAgent-1=1) | (colAgent=26&rowAgent-1=1) | (colAgent=0&rowAgent-1=2) | (colAgent=26&rowAgent-1=2) | (colAgent=0&rowAgent-1=3) | (colAgent=26&rowAgent-1=3) | (colAgent=0&rowAgent-1=4) | (colAgent=26&rowAgent-1=4) | (colAgent=0&rowAgent-1=5) | (colAgent=26&rowAgent-1=5) | (colAgent=0&rowAgent-1=6) | (colAgent=26&rowAgent-1=6) | (colAgent=0&rowAgent-1=7) | (colAgent=26&rowAgent-1=7) | (colAgent=0&rowAgent-1=8) | (colAgent=26&rowAgent-1=8) | (colAgent=0&rowAgent-1=9) | (colAgent=26&rowAgent-1=9) | (colAgent=0&rowAgent-1=10) | (colAgent=26&rowAgent-1=10) | (colAgent=0&rowAgent-1=11) | (colAgent=26&rowAgent-1=11) | (colAgent=0&rowAgent-1=12) | (colAgent=26&rowAgent-1=12) | (colAgent=0&rowAgent-1=13) | (colAgent=26&rowAgent-1=13) | (colAgent=0&rowAgent-1=14) | (colAgent=26&rowAgent-1=14) | (colAgent=0&rowAgent-1=15) | (colAgent=26&rowAgent-1=15) | (colAgent=0&rowAgent-1=16) | (colAgent=26&rowAgent-1=16) | (colAgent=0&rowAgent-1=17) | (colAgent=26&rowAgent-1=17) | (colAgent=0&rowAgent-1=18) | (colAgent=26&rowAgent-1=18) | (colAgent=0&rowAgent-1=19) | (colAgent=26&rowAgent-1=19) | (colAgent=0&rowAgent-1=20) | (colAgent=26&rowAgent-1=20) | (colAgent=0&rowAgent-1=21) | (colAgent=1&rowAgent-1=21) | (colAgent=2&rowAgent-1=21) | (colAgent=3&rowAgent-1=21) | (colAgent=4&rowAgent-1=21) | (colAgent=5&rowAgent-1=21) | (colAgent=6&rowAgent-1=21) | (colAgent=7&rowAgent-1=21) | (colAgent=8&rowAgent-1=21) | (colAgent=9&rowAgent-1=21) | (colAgent=10&rowAgent-1=21) | (colAgent=11&rowAgent-1=21) | (colAgent=12&rowAgent-1=21) | (colAgent=13&rowAgent-1=21) | (colAgent=14&rowAgent-1=21) | (colAgent=15&rowAgent-1=21) | (colAgent=16&rowAgent-1=21) | (colAgent=17&rowAgent-1=21) | (colAgent=18&rowAgent-1=21) | (colAgent=19&rowAgent-1=21) | (colAgent=20&rowAgent-1=21) | (colAgent=21&rowAgent-1=21) | (colAgent=22&rowAgent-1=21) | (colAgent=23&rowAgent-1=21) | (colAgent=24&rowAgent-1=21) | (colAgent=25&rowAgent-1=21) | (colAgent=26&rowAgent-1=21);
+formula AgentCannotSlipNorthEast = (colAgent+1=0&rowAgent-1=0) | (colAgent+1=1&rowAgent-1=0) | (colAgent+1=2&rowAgent-1=0) | (colAgent+1=3&rowAgent-1=0) | (colAgent+1=4&rowAgent-1=0) | (colAgent+1=5&rowAgent-1=0) | (colAgent+1=6&rowAgent-1=0) | (colAgent+1=7&rowAgent-1=0) | (colAgent+1=8&rowAgent-1=0) | (colAgent+1=9&rowAgent-1=0) | (colAgent+1=10&rowAgent-1=0) | (colAgent+1=11&rowAgent-1=0) | (colAgent+1=12&rowAgent-1=0) | (colAgent+1=13&rowAgent-1=0) | (colAgent+1=14&rowAgent-1=0) | (colAgent+1=15&rowAgent-1=0) | (colAgent+1=16&rowAgent-1=0) | (colAgent+1=17&rowAgent-1=0) | (colAgent+1=18&rowAgent-1=0) | (colAgent+1=19&rowAgent-1=0) | (colAgent+1=20&rowAgent-1=0) | (colAgent+1=21&rowAgent-1=0) | (colAgent+1=22&rowAgent-1=0) | (colAgent+1=23&rowAgent-1=0) | (colAgent+1=24&rowAgent-1=0) | (colAgent+1=25&rowAgent-1=0) | (colAgent+1=26&rowAgent-1=0) | (colAgent+1=0&rowAgent-1=1) | (colAgent+1=26&rowAgent-1=1) | (colAgent+1=0&rowAgent-1=2) | (colAgent+1=26&rowAgent-1=2) | (colAgent+1=0&rowAgent-1=3) | (colAgent+1=26&rowAgent-1=3) | (colAgent+1=0&rowAgent-1=4) | (colAgent+1=26&rowAgent-1=4) | (colAgent+1=0&rowAgent-1=5) | (colAgent+1=26&rowAgent-1=5) | (colAgent+1=0&rowAgent-1=6) | (colAgent+1=26&rowAgent-1=6) | (colAgent+1=0&rowAgent-1=7) | (colAgent+1=26&rowAgent-1=7) | (colAgent+1=0&rowAgent-1=8) | (colAgent+1=26&rowAgent-1=8) | (colAgent+1=0&rowAgent-1=9) | (colAgent+1=26&rowAgent-1=9) | (colAgent+1=0&rowAgent-1=10) | (colAgent+1=26&rowAgent-1=10) | (colAgent+1=0&rowAgent-1=11) | (colAgent+1=26&rowAgent-1=11) | (colAgent+1=0&rowAgent-1=12) | (colAgent+1=26&rowAgent-1=12) | (colAgent+1=0&rowAgent-1=13) | (colAgent+1=26&rowAgent-1=13) | (colAgent+1=0&rowAgent-1=14) | (colAgent+1=26&rowAgent-1=14) | (colAgent+1=0&rowAgent-1=15) | (colAgent+1=26&rowAgent-1=15) | (colAgent+1=0&rowAgent-1=16) | (colAgent+1=26&rowAgent-1=16) | (colAgent+1=0&rowAgent-1=17) | (colAgent+1=26&rowAgent-1=17) | (colAgent+1=0&rowAgent-1=18) | (colAgent+1=26&rowAgent-1=18) | (colAgent+1=0&rowAgent-1=19) | (colAgent+1=26&rowAgent-1=19) | (colAgent+1=0&rowAgent-1=20) | (colAgent+1=26&rowAgent-1=20) | (colAgent+1=0&rowAgent-1=21) | (colAgent+1=1&rowAgent-1=21) | (colAgent+1=2&rowAgent-1=21) | (colAgent+1=3&rowAgent-1=21) | (colAgent+1=4&rowAgent-1=21) | (colAgent+1=5&rowAgent-1=21) | (colAgent+1=6&rowAgent-1=21) | (colAgent+1=7&rowAgent-1=21) | (colAgent+1=8&rowAgent-1=21) | (colAgent+1=9&rowAgent-1=21) | (colAgent+1=10&rowAgent-1=21) | (colAgent+1=11&rowAgent-1=21) | (colAgent+1=12&rowAgent-1=21) | (colAgent+1=13&rowAgent-1=21) | (colAgent+1=14&rowAgent-1=21) | (colAgent+1=15&rowAgent-1=21) | (colAgent+1=16&rowAgent-1=21) | (colAgent+1=17&rowAgent-1=21) | (colAgent+1=18&rowAgent-1=21) | (colAgent+1=19&rowAgent-1=21) | (colAgent+1=20&rowAgent-1=21) | (colAgent+1=21&rowAgent-1=21) | (colAgent+1=22&rowAgent-1=21) | (colAgent+1=23&rowAgent-1=21) | (colAgent+1=24&rowAgent-1=21) | (colAgent+1=25&rowAgent-1=21) | (colAgent+1=26&rowAgent-1=21);
+formula AgentCannotSlipNorthWest = (colAgent-1=0&rowAgent-1=0) | (colAgent-1=1&rowAgent-1=0) | (colAgent-1=2&rowAgent-1=0) | (colAgent-1=3&rowAgent-1=0) | (colAgent-1=4&rowAgent-1=0) | (colAgent-1=5&rowAgent-1=0) | (colAgent-1=6&rowAgent-1=0) | (colAgent-1=7&rowAgent-1=0) | (colAgent-1=8&rowAgent-1=0) | (colAgent-1=9&rowAgent-1=0) | (colAgent-1=10&rowAgent-1=0) | (colAgent-1=11&rowAgent-1=0) | (colAgent-1=12&rowAgent-1=0) | (colAgent-1=13&rowAgent-1=0) | (colAgent-1=14&rowAgent-1=0) | (colAgent-1=15&rowAgent-1=0) | (colAgent-1=16&rowAgent-1=0) | (colAgent-1=17&rowAgent-1=0) | (colAgent-1=18&rowAgent-1=0) | (colAgent-1=19&rowAgent-1=0) | (colAgent-1=20&rowAgent-1=0) | (colAgent-1=21&rowAgent-1=0) | (colAgent-1=22&rowAgent-1=0) | (colAgent-1=23&rowAgent-1=0) | (colAgent-1=24&rowAgent-1=0) | (colAgent-1=25&rowAgent-1=0) | (colAgent-1=26&rowAgent-1=0) | (colAgent-1=0&rowAgent-1=1) | (colAgent-1=26&rowAgent-1=1) | (colAgent-1=0&rowAgent-1=2) | (colAgent-1=26&rowAgent-1=2) | (colAgent-1=0&rowAgent-1=3) | (colAgent-1=26&rowAgent-1=3) | (colAgent-1=0&rowAgent-1=4) | (colAgent-1=26&rowAgent-1=4) | (colAgent-1=0&rowAgent-1=5) | (colAgent-1=26&rowAgent-1=5) | (colAgent-1=0&rowAgent-1=6) | (colAgent-1=26&rowAgent-1=6) | (colAgent-1=0&rowAgent-1=7) | (colAgent-1=26&rowAgent-1=7) | (colAgent-1=0&rowAgent-1=8) | (colAgent-1=26&rowAgent-1=8) | (colAgent-1=0&rowAgent-1=9) | (colAgent-1=26&rowAgent-1=9) | (colAgent-1=0&rowAgent-1=10) | (colAgent-1=26&rowAgent-1=10) | (colAgent-1=0&rowAgent-1=11) | (colAgent-1=26&rowAgent-1=11) | (colAgent-1=0&rowAgent-1=12) | (colAgent-1=26&rowAgent-1=12) | (colAgent-1=0&rowAgent-1=13) | (colAgent-1=26&rowAgent-1=13) | (colAgent-1=0&rowAgent-1=14) | (colAgent-1=26&rowAgent-1=14) | (colAgent-1=0&rowAgent-1=15) | (colAgent-1=26&rowAgent-1=15) | (colAgent-1=0&rowAgent-1=16) | (colAgent-1=26&rowAgent-1=16) | (colAgent-1=0&rowAgent-1=17) | (colAgent-1=26&rowAgent-1=17) | (colAgent-1=0&rowAgent-1=18) | (colAgent-1=26&rowAgent-1=18) | (colAgent-1=0&rowAgent-1=19) | (colAgent-1=26&rowAgent-1=19) | (colAgent-1=0&rowAgent-1=20) | (colAgent-1=26&rowAgent-1=20) | (colAgent-1=0&rowAgent-1=21) | (colAgent-1=1&rowAgent-1=21) | (colAgent-1=2&rowAgent-1=21) | (colAgent-1=3&rowAgent-1=21) | (colAgent-1=4&rowAgent-1=21) | (colAgent-1=5&rowAgent-1=21) | (colAgent-1=6&rowAgent-1=21) | (colAgent-1=7&rowAgent-1=21) | (colAgent-1=8&rowAgent-1=21) | (colAgent-1=9&rowAgent-1=21) | (colAgent-1=10&rowAgent-1=21) | (colAgent-1=11&rowAgent-1=21) | (colAgent-1=12&rowAgent-1=21) | (colAgent-1=13&rowAgent-1=21) | (colAgent-1=14&rowAgent-1=21) | (colAgent-1=15&rowAgent-1=21) | (colAgent-1=16&rowAgent-1=21) | (colAgent-1=17&rowAgent-1=21) | (colAgent-1=18&rowAgent-1=21) | (colAgent-1=19&rowAgent-1=21) | (colAgent-1=20&rowAgent-1=21) | (colAgent-1=21&rowAgent-1=21) | (colAgent-1=22&rowAgent-1=21) | (colAgent-1=23&rowAgent-1=21) | (colAgent-1=24&rowAgent-1=21) | (colAgent-1=25&rowAgent-1=21) | (colAgent-1=26&rowAgent-1=21);
+formula AgentCannotSlipSouth = (colAgent=0&rowAgent+1=0) | (colAgent=1&rowAgent+1=0) | (colAgent=2&rowAgent+1=0) | (colAgent=3&rowAgent+1=0) | (colAgent=4&rowAgent+1=0) | (colAgent=5&rowAgent+1=0) | (colAgent=6&rowAgent+1=0) | (colAgent=7&rowAgent+1=0) | (colAgent=8&rowAgent+1=0) | (colAgent=9&rowAgent+1=0) | (colAgent=10&rowAgent+1=0) | (colAgent=11&rowAgent+1=0) | (colAgent=12&rowAgent+1=0) | (colAgent=13&rowAgent+1=0) | (colAgent=14&rowAgent+1=0) | (colAgent=15&rowAgent+1=0) | (colAgent=16&rowAgent+1=0) | (colAgent=17&rowAgent+1=0) | (colAgent=18&rowAgent+1=0) | (colAgent=19&rowAgent+1=0) | (colAgent=20&rowAgent+1=0) | (colAgent=21&rowAgent+1=0) | (colAgent=22&rowAgent+1=0) | (colAgent=23&rowAgent+1=0) | (colAgent=24&rowAgent+1=0) | (colAgent=25&rowAgent+1=0) | (colAgent=26&rowAgent+1=0) | (colAgent=0&rowAgent+1=1) | (colAgent=26&rowAgent+1=1) | (colAgent=0&rowAgent+1=2) | (colAgent=26&rowAgent+1=2) | (colAgent=0&rowAgent+1=3) | (colAgent=26&rowAgent+1=3) | (colAgent=0&rowAgent+1=4) | (colAgent=26&rowAgent+1=4) | (colAgent=0&rowAgent+1=5) | (colAgent=26&rowAgent+1=5) | (colAgent=0&rowAgent+1=6) | (colAgent=26&rowAgent+1=6) | (colAgent=0&rowAgent+1=7) | (colAgent=26&rowAgent+1=7) | (colAgent=0&rowAgent+1=8) | (colAgent=26&rowAgent+1=8) | (colAgent=0&rowAgent+1=9) | (colAgent=26&rowAgent+1=9) | (colAgent=0&rowAgent+1=10) | (colAgent=26&rowAgent+1=10) | (colAgent=0&rowAgent+1=11) | (colAgent=26&rowAgent+1=11) | (colAgent=0&rowAgent+1=12) | (colAgent=26&rowAgent+1=12) | (colAgent=0&rowAgent+1=13) | (colAgent=26&rowAgent+1=13) | (colAgent=0&rowAgent+1=14) | (colAgent=26&rowAgent+1=14) | (colAgent=0&rowAgent+1=15) | (colAgent=26&rowAgent+1=15) | (colAgent=0&rowAgent+1=16) | (colAgent=26&rowAgent+1=16) | (colAgent=0&rowAgent+1=17) | (colAgent=26&rowAgent+1=17) | (colAgent=0&rowAgent+1=18) | (colAgent=26&rowAgent+1=18) | (colAgent=0&rowAgent+1=19) | (colAgent=26&rowAgent+1=19) | (colAgent=0&rowAgent+1=20) | (colAgent=26&rowAgent+1=20) | (colAgent=0&rowAgent+1=21) | (colAgent=1&rowAgent+1=21) | (colAgent=2&rowAgent+1=21) | (colAgent=3&rowAgent+1=21) | (colAgent=4&rowAgent+1=21) | (colAgent=5&rowAgent+1=21) | (colAgent=6&rowAgent+1=21) | (colAgent=7&rowAgent+1=21) | (colAgent=8&rowAgent+1=21) | (colAgent=9&rowAgent+1=21) | (colAgent=10&rowAgent+1=21) | (colAgent=11&rowAgent+1=21) | (colAgent=12&rowAgent+1=21) | (colAgent=13&rowAgent+1=21) | (colAgent=14&rowAgent+1=21) | (colAgent=15&rowAgent+1=21) | (colAgent=16&rowAgent+1=21) | (colAgent=17&rowAgent+1=21) | (colAgent=18&rowAgent+1=21) | (colAgent=19&rowAgent+1=21) | (colAgent=20&rowAgent+1=21) | (colAgent=21&rowAgent+1=21) | (colAgent=22&rowAgent+1=21) | (colAgent=23&rowAgent+1=21) | (colAgent=24&rowAgent+1=21) | (colAgent=25&rowAgent+1=21) | (colAgent=26&rowAgent+1=21);
+formula AgentCannotSlipSouthEast = (colAgent+1=0&rowAgent+1=0) | (colAgent+1=1&rowAgent+1=0) | (colAgent+1=2&rowAgent+1=0) | (colAgent+1=3&rowAgent+1=0) | (colAgent+1=4&rowAgent+1=0) | (colAgent+1=5&rowAgent+1=0) | (colAgent+1=6&rowAgent+1=0) | (colAgent+1=7&rowAgent+1=0) | (colAgent+1=8&rowAgent+1=0) | (colAgent+1=9&rowAgent+1=0) | (colAgent+1=10&rowAgent+1=0) | (colAgent+1=11&rowAgent+1=0) | (colAgent+1=12&rowAgent+1=0) | (colAgent+1=13&rowAgent+1=0) | (colAgent+1=14&rowAgent+1=0) | (colAgent+1=15&rowAgent+1=0) | (colAgent+1=16&rowAgent+1=0) | (colAgent+1=17&rowAgent+1=0) | (colAgent+1=18&rowAgent+1=0) | (colAgent+1=19&rowAgent+1=0) | (colAgent+1=20&rowAgent+1=0) | (colAgent+1=21&rowAgent+1=0) | (colAgent+1=22&rowAgent+1=0) | (colAgent+1=23&rowAgent+1=0) | (colAgent+1=24&rowAgent+1=0) | (colAgent+1=25&rowAgent+1=0) | (colAgent+1=26&rowAgent+1=0) | (colAgent+1=0&rowAgent+1=1) | (colAgent+1=26&rowAgent+1=1) | (colAgent+1=0&rowAgent+1=2) | (colAgent+1=26&rowAgent+1=2) | (colAgent+1=0&rowAgent+1=3) | (colAgent+1=26&rowAgent+1=3) | (colAgent+1=0&rowAgent+1=4) | (colAgent+1=26&rowAgent+1=4) | (colAgent+1=0&rowAgent+1=5) | (colAgent+1=26&rowAgent+1=5) | (colAgent+1=0&rowAgent+1=6) | (colAgent+1=26&rowAgent+1=6) | (colAgent+1=0&rowAgent+1=7) | (colAgent+1=26&rowAgent+1=7) | (colAgent+1=0&rowAgent+1=8) | (colAgent+1=26&rowAgent+1=8) | (colAgent+1=0&rowAgent+1=9) | (colAgent+1=26&rowAgent+1=9) | (colAgent+1=0&rowAgent+1=10) | (colAgent+1=26&rowAgent+1=10) | (colAgent+1=0&rowAgent+1=11) | (colAgent+1=26&rowAgent+1=11) | (colAgent+1=0&rowAgent+1=12) | (colAgent+1=26&rowAgent+1=12) | (colAgent+1=0&rowAgent+1=13) | (colAgent+1=26&rowAgent+1=13) | (colAgent+1=0&rowAgent+1=14) | (colAgent+1=26&rowAgent+1=14) | (colAgent+1=0&rowAgent+1=15) | (colAgent+1=26&rowAgent+1=15) | (colAgent+1=0&rowAgent+1=16) | (colAgent+1=26&rowAgent+1=16) | (colAgent+1=0&rowAgent+1=17) | (colAgent+1=26&rowAgent+1=17) | (colAgent+1=0&rowAgent+1=18) | (colAgent+1=26&rowAgent+1=18) | (colAgent+1=0&rowAgent+1=19) | (colAgent+1=26&rowAgent+1=19) | (colAgent+1=0&rowAgent+1=20) | (colAgent+1=26&rowAgent+1=20) | (colAgent+1=0&rowAgent+1=21) | (colAgent+1=1&rowAgent+1=21) | (colAgent+1=2&rowAgent+1=21) | (colAgent+1=3&rowAgent+1=21) | (colAgent+1=4&rowAgent+1=21) | (colAgent+1=5&rowAgent+1=21) | (colAgent+1=6&rowAgent+1=21) | (colAgent+1=7&rowAgent+1=21) | (colAgent+1=8&rowAgent+1=21) | (colAgent+1=9&rowAgent+1=21) | (colAgent+1=10&rowAgent+1=21) | (colAgent+1=11&rowAgent+1=21) | (colAgent+1=12&rowAgent+1=21) | (colAgent+1=13&rowAgent+1=21) | (colAgent+1=14&rowAgent+1=21) | (colAgent+1=15&rowAgent+1=21) | (colAgent+1=16&rowAgent+1=21) | (colAgent+1=17&rowAgent+1=21) | (colAgent+1=18&rowAgent+1=21) | (colAgent+1=19&rowAgent+1=21) | (colAgent+1=20&rowAgent+1=21) | (colAgent+1=21&rowAgent+1=21) | (colAgent+1=22&rowAgent+1=21) | (colAgent+1=23&rowAgent+1=21) | (colAgent+1=24&rowAgent+1=21) | (colAgent+1=25&rowAgent+1=21) | (colAgent+1=26&rowAgent+1=21);
+formula AgentCannotSlipSouthWest = (colAgent-1=0&rowAgent+1=0) | (colAgent-1=1&rowAgent+1=0) | (colAgent-1=2&rowAgent+1=0) | (colAgent-1=3&rowAgent+1=0) | (colAgent-1=4&rowAgent+1=0) | (colAgent-1=5&rowAgent+1=0) | (colAgent-1=6&rowAgent+1=0) | (colAgent-1=7&rowAgent+1=0) | (colAgent-1=8&rowAgent+1=0) | (colAgent-1=9&rowAgent+1=0) | (colAgent-1=10&rowAgent+1=0) | (colAgent-1=11&rowAgent+1=0) | (colAgent-1=12&rowAgent+1=0) | (colAgent-1=13&rowAgent+1=0) | (colAgent-1=14&rowAgent+1=0) | (colAgent-1=15&rowAgent+1=0) | (colAgent-1=16&rowAgent+1=0) | (colAgent-1=17&rowAgent+1=0) | (colAgent-1=18&rowAgent+1=0) | (colAgent-1=19&rowAgent+1=0) | (colAgent-1=20&rowAgent+1=0) | (colAgent-1=21&rowAgent+1=0) | (colAgent-1=22&rowAgent+1=0) | (colAgent-1=23&rowAgent+1=0) | (colAgent-1=24&rowAgent+1=0) | (colAgent-1=25&rowAgent+1=0) | (colAgent-1=26&rowAgent+1=0) | (colAgent-1=0&rowAgent+1=1) | (colAgent-1=26&rowAgent+1=1) | (colAgent-1=0&rowAgent+1=2) | (colAgent-1=26&rowAgent+1=2) | (colAgent-1=0&rowAgent+1=3) | (colAgent-1=26&rowAgent+1=3) | (colAgent-1=0&rowAgent+1=4) | (colAgent-1=26&rowAgent+1=4) | (colAgent-1=0&rowAgent+1=5) | (colAgent-1=26&rowAgent+1=5) | (colAgent-1=0&rowAgent+1=6) | (colAgent-1=26&rowAgent+1=6) | (colAgent-1=0&rowAgent+1=7) | (colAgent-1=26&rowAgent+1=7) | (colAgent-1=0&rowAgent+1=8) | (colAgent-1=26&rowAgent+1=8) | (colAgent-1=0&rowAgent+1=9) | (colAgent-1=26&rowAgent+1=9) | (colAgent-1=0&rowAgent+1=10) | (colAgent-1=26&rowAgent+1=10) | (colAgent-1=0&rowAgent+1=11) | (colAgent-1=26&rowAgent+1=11) | (colAgent-1=0&rowAgent+1=12) | (colAgent-1=26&rowAgent+1=12) | (colAgent-1=0&rowAgent+1=13) | (colAgent-1=26&rowAgent+1=13) | (colAgent-1=0&rowAgent+1=14) | (colAgent-1=26&rowAgent+1=14) | (colAgent-1=0&rowAgent+1=15) | (colAgent-1=26&rowAgent+1=15) | (colAgent-1=0&rowAgent+1=16) | (colAgent-1=26&rowAgent+1=16) | (colAgent-1=0&rowAgent+1=17) | (colAgent-1=26&rowAgent+1=17) | (colAgent-1=0&rowAgent+1=18) | (colAgent-1=26&rowAgent+1=18) | (colAgent-1=0&rowAgent+1=19) | (colAgent-1=26&rowAgent+1=19) | (colAgent-1=0&rowAgent+1=20) | (colAgent-1=26&rowAgent+1=20) | (colAgent-1=0&rowAgent+1=21) | (colAgent-1=1&rowAgent+1=21) | (colAgent-1=2&rowAgent+1=21) | (colAgent-1=3&rowAgent+1=21) | (colAgent-1=4&rowAgent+1=21) | (colAgent-1=5&rowAgent+1=21) | (colAgent-1=6&rowAgent+1=21) | (colAgent-1=7&rowAgent+1=21) | (colAgent-1=8&rowAgent+1=21) | (colAgent-1=9&rowAgent+1=21) | (colAgent-1=10&rowAgent+1=21) | (colAgent-1=11&rowAgent+1=21) | (colAgent-1=12&rowAgent+1=21) | (colAgent-1=13&rowAgent+1=21) | (colAgent-1=14&rowAgent+1=21) | (colAgent-1=15&rowAgent+1=21) | (colAgent-1=16&rowAgent+1=21) | (colAgent-1=17&rowAgent+1=21) | (colAgent-1=18&rowAgent+1=21) | (colAgent-1=19&rowAgent+1=21) | (colAgent-1=20&rowAgent+1=21) | (colAgent-1=21&rowAgent+1=21) | (colAgent-1=22&rowAgent+1=21) | (colAgent-1=23&rowAgent+1=21) | (colAgent-1=24&rowAgent+1=21) | (colAgent-1=25&rowAgent+1=21) | (colAgent-1=26&rowAgent+1=21);
+formula AgentCannotSlipWest = (colAgent-1=0&rowAgent=0) | (colAgent-1=1&rowAgent=0) | (colAgent-1=2&rowAgent=0) | (colAgent-1=3&rowAgent=0) | (colAgent-1=4&rowAgent=0) | (colAgent-1=5&rowAgent=0) | (colAgent-1=6&rowAgent=0) | (colAgent-1=7&rowAgent=0) | (colAgent-1=8&rowAgent=0) | (colAgent-1=9&rowAgent=0) | (colAgent-1=10&rowAgent=0) | (colAgent-1=11&rowAgent=0) | (colAgent-1=12&rowAgent=0) | (colAgent-1=13&rowAgent=0) | (colAgent-1=14&rowAgent=0) | (colAgent-1=15&rowAgent=0) | (colAgent-1=16&rowAgent=0) | (colAgent-1=17&rowAgent=0) | (colAgent-1=18&rowAgent=0) | (colAgent-1=19&rowAgent=0) | (colAgent-1=20&rowAgent=0) | (colAgent-1=21&rowAgent=0) | (colAgent-1=22&rowAgent=0) | (colAgent-1=23&rowAgent=0) | (colAgent-1=24&rowAgent=0) | (colAgent-1=25&rowAgent=0) | (colAgent-1=26&rowAgent=0) | (colAgent-1=0&rowAgent=1) | (colAgent-1=26&rowAgent=1) | (colAgent-1=0&rowAgent=2) | (colAgent-1=26&rowAgent=2) | (colAgent-1=0&rowAgent=3) | (colAgent-1=26&rowAgent=3) | (colAgent-1=0&rowAgent=4) | (colAgent-1=26&rowAgent=4) | (colAgent-1=0&rowAgent=5) | (colAgent-1=26&rowAgent=5) | (colAgent-1=0&rowAgent=6) | (colAgent-1=26&rowAgent=6) | (colAgent-1=0&rowAgent=7) | (colAgent-1=26&rowAgent=7) | (colAgent-1=0&rowAgent=8) | (colAgent-1=26&rowAgent=8) | (colAgent-1=0&rowAgent=9) | (colAgent-1=26&rowAgent=9) | (colAgent-1=0&rowAgent=10) | (colAgent-1=26&rowAgent=10) | (colAgent-1=0&rowAgent=11) | (colAgent-1=26&rowAgent=11) | (colAgent-1=0&rowAgent=12) | (colAgent-1=26&rowAgent=12) | (colAgent-1=0&rowAgent=13) | (colAgent-1=26&rowAgent=13) | (colAgent-1=0&rowAgent=14) | (colAgent-1=26&rowAgent=14) | (colAgent-1=0&rowAgent=15) | (colAgent-1=26&rowAgent=15) | (colAgent-1=0&rowAgent=16) | (colAgent-1=26&rowAgent=16) | (colAgent-1=0&rowAgent=17) | (colAgent-1=26&rowAgent=17) | (colAgent-1=0&rowAgent=18) | (colAgent-1=26&rowAgent=18) | (colAgent-1=0&rowAgent=19) | (colAgent-1=26&rowAgent=19) | (colAgent-1=0&rowAgent=20) | (colAgent-1=26&rowAgent=20) | (colAgent-1=0&rowAgent=21) | (colAgent-1=1&rowAgent=21) | (colAgent-1=2&rowAgent=21) | (colAgent-1=3&rowAgent=21) | (colAgent-1=4&rowAgent=21) | (colAgent-1=5&rowAgent=21) | (colAgent-1=6&rowAgent=21) | (colAgent-1=7&rowAgent=21) | (colAgent-1=8&rowAgent=21) | (colAgent-1=9&rowAgent=21) | (colAgent-1=10&rowAgent=21) | (colAgent-1=11&rowAgent=21) | (colAgent-1=12&rowAgent=21) | (colAgent-1=13&rowAgent=21) | (colAgent-1=14&rowAgent=21) | (colAgent-1=15&rowAgent=21) | (colAgent-1=16&rowAgent=21) | (colAgent-1=17&rowAgent=21) | (colAgent-1=18&rowAgent=21) | (colAgent-1=19&rowAgent=21) | (colAgent-1=20&rowAgent=21) | (colAgent-1=21&rowAgent=21) | (colAgent-1=22&rowAgent=21) | (colAgent-1=23&rowAgent=21) | (colAgent-1=24&rowAgent=21) | (colAgent-1=25&rowAgent=21) | (colAgent-1=26&rowAgent=21);
+formula AgentIsOnLava = (colAgent=16&rowAgent=1) | (colAgent=17&rowAgent=1) | (colAgent=18&rowAgent=1) | (colAgent=19&rowAgent=1) | (colAgent=16&rowAgent=2) | (colAgent=17&rowAgent=2) | (colAgent=18&rowAgent=2) | (colAgent=19&rowAgent=2) | (colAgent=10&rowAgent=3) | (colAgent=11&rowAgent=3) | (colAgent=12&rowAgent=3) | (colAgent=10&rowAgent=4) | (colAgent=11&rowAgent=4) | (colAgent=12&rowAgent=4) | (colAgent=10&rowAgent=5) | (colAgent=11&rowAgent=5) | (colAgent=12&rowAgent=5) | (colAgent=10&rowAgent=6) | (colAgent=11&rowAgent=6) | (colAgent=12&rowAgent=6) | (colAgent=16&rowAgent=7) | (colAgent=17&rowAgent=7) | (colAgent=18&rowAgent=7) | (colAgent=19&rowAgent=7) | (colAgent=20&rowAgent=7) | (colAgent=21&rowAgent=7) | (colAgent=22&rowAgent=7) | (colAgent=23&rowAgent=7) | (colAgent=16&rowAgent=8) | (colAgent=17&rowAgent=8) | (colAgent=18&rowAgent=8) | (colAgent=19&rowAgent=8) | (colAgent=20&rowAgent=8) | (colAgent=21&rowAgent=8) | (colAgent=22&rowAgent=8) | (colAgent=23&rowAgent=8) | (colAgent=16&rowAgent=9) | (colAgent=17&rowAgent=9) | (colAgent=18&rowAgent=9) | (colAgent=19&rowAgent=9) | (colAgent=20&rowAgent=9) | (colAgent=21&rowAgent=9) | (colAgent=22&rowAgent=9) | (colAgent=23&rowAgent=9) | (colAgent=16&rowAgent=10) | (colAgent=17&rowAgent=10) | (colAgent=18&rowAgent=10) | (colAgent=19&rowAgent=10) | (colAgent=20&rowAgent=10) | (colAgent=21&rowAgent=10) | (colAgent=22&rowAgent=10) | (colAgent=23&rowAgent=10) | (colAgent=8&rowAgent=11) | (colAgent=9&rowAgent=11) | (colAgent=10&rowAgent=11) | (colAgent=11&rowAgent=11) | (colAgent=12&rowAgent=11) | (colAgent=16&rowAgent=11) | (colAgent=17&rowAgent=11) | (colAgent=18&rowAgent=11) | (colAgent=19&rowAgent=11) | (colAgent=20&rowAgent=11) | (colAgent=21&rowAgent=11) | (colAgent=22&rowAgent=11) | (colAgent=23&rowAgent=11) | (colAgent=8&rowAgent=12) | (colAgent=9&rowAgent=12) | (colAgent=10&rowAgent=12) | (colAgent=11&rowAgent=12) | (colAgent=12&rowAgent=12) | (colAgent=8&rowAgent=13) | (colAgent=9&rowAgent=13) | (colAgent=10&rowAgent=13) | (colAgent=11&rowAgent=13) | (colAgent=12&rowAgent=13) | (colAgent=8&rowAgent=14) | (colAgent=9&rowAgent=14) | (colAgent=10&rowAgent=14) | (colAgent=11&rowAgent=14) | (colAgent=12&rowAgent=14) | (colAgent=22&rowAgent=14) | (colAgent=23&rowAgent=14) | (colAgent=24&rowAgent=14) | (colAgent=25&rowAgent=14) | (colAgent=8&rowAgent=15) | (colAgent=9&rowAgent=15) | (colAgent=10&rowAgent=15) | (colAgent=11&rowAgent=15) | (colAgent=12&rowAgent=15) | (colAgent=22&rowAgent=15) | (colAgent=23&rowAgent=15) | (colAgent=24&rowAgent=15) | (colAgent=25&rowAgent=15) | (colAgent=8&rowAgent=16) | (colAgent=9&rowAgent=16) | (colAgent=10&rowAgent=16) | (colAgent=11&rowAgent=16) | (colAgent=12&rowAgent=16) | (colAgent=22&rowAgent=16) | (colAgent=23&rowAgent=16) | (colAgent=24&rowAgent=16) | (colAgent=25&rowAgent=16) | (colAgent=22&rowAgent=17) | (colAgent=23&rowAgent=17) | (colAgent=24&rowAgent=17) | (colAgent=25&rowAgent=17);
+formula AgentIsOnGoal = (colAgent=25&rowAgent=10);
+init
+ true
+endinit
+
+
+module Agent
+ colAgent : [1..25];
+ rowAgent : [1..20];
+ viewAgent : [0..3];
+
+ [Agent_turn_right] !AgentIsOnSlippery & !AgentIsOnLava &true -> 1.000000: (viewAgent'=mod(viewAgent+1,4));
+ [Agent_turn_left] !AgentIsOnSlippery & !AgentIsOnLava &viewAgent>0 -> 1.000000: (viewAgent'=viewAgent-1);
+ [Agent_turn_left] !AgentIsOnSlippery & !AgentIsOnLava &viewAgent=0 -> 1.000000: (viewAgent'=3);
+ [Agent_move_North] viewAgent=3 & !AgentIsOnSlippery & !AgentIsOnLava & !AgentIsOnGoal & !AgentCannotMoveNorthWall -> 1.000000: (rowAgent'=rowAgent-1);
+ [Agent_move_East] viewAgent=0 & !AgentIsOnSlippery & !AgentIsOnLava & !AgentIsOnGoal & !AgentCannotMoveEastWall -> 1.000000: (colAgent'=colAgent+1);
+ [Agent_move_South] viewAgent=1 & !AgentIsOnSlippery & !AgentIsOnLava & !AgentIsOnGoal & !AgentCannotMoveSouthWall -> 1.000000: (rowAgent'=rowAgent+1);
+ [Agent_move_West] viewAgent=2 & !AgentIsOnSlippery & !AgentIsOnLava & !AgentIsOnGoal & !AgentCannotMoveWestWall -> 1.000000: (colAgent'=colAgent-1);
+ [Agent_move_North] viewAgent=3 & AgentIsOnSlipperyNorth & !AgentCannotSlipNorth & !AgentCannotSlipNorthEast & !AgentCannotSlipNorthWest -> 0.950000: (rowAgent'=rowAgent-1) + 0.025000: (rowAgent'=rowAgent-1)&(colAgent'=colAgent+1) + 0.025000: (rowAgent'=rowAgent-1)&(colAgent'=colAgent-1);
+ [Agent_move_North] viewAgent=3 & AgentIsOnSlipperyNorth & AgentCannotSlipNorth & !AgentCannotSlipNorthEast & !AgentCannotSlipNorthWest -> 0.000000: (rowAgent'=rowAgent-1)&(colAgent'=colAgent+1) + 0.000000: (rowAgent'=rowAgent-1)&(colAgent'=colAgent-1);
+ [Agent_move_North] viewAgent=3 & AgentIsOnSlipperyNorth & !AgentCannotSlipNorth & AgentCannotSlipNorthEast & !AgentCannotSlipNorthWest -> 0.950000: (rowAgent'=rowAgent-1) + 0.050000: (rowAgent'=rowAgent-1)&(colAgent'=colAgent-1);
+ [Agent_move_North] viewAgent=3 & AgentIsOnSlipperyNorth & !AgentCannotSlipNorth & !AgentCannotSlipNorthEast & AgentCannotSlipNorthWest -> 0.950000: (rowAgent'=rowAgent-1) + 0.050000: (rowAgent'=rowAgent-1)&(colAgent'=colAgent+1);
+ [Agent_move_North] viewAgent=3 & AgentIsOnSlipperyNorth & AgentCannotSlipNorth & AgentCannotSlipNorthEast & !AgentCannotSlipNorthWest -> 1.000000: (rowAgent'=rowAgent-1)&(colAgent'=colAgent-1);
+ [Agent_move_North] viewAgent=3 & AgentIsOnSlipperyNorth & !AgentCannotSlipNorth & AgentCannotSlipNorthEast & AgentCannotSlipNorthWest -> 1.000000: (rowAgent'=rowAgent-1);
+ [Agent_move_North] viewAgent=3 & AgentIsOnSlipperyNorth & AgentCannotSlipNorth & !AgentCannotSlipNorthEast & AgentCannotSlipNorthWest -> 1.000000: (rowAgent'=rowAgent-1)&(colAgent'=colAgent+1);
+ [Agent_move_North] viewAgent=3 & AgentIsOnSlipperyNorth & AgentCannotSlipNorth & AgentCannotSlipNorthEast & AgentCannotSlipNorthWest -> true;
+ [Agent_move_West] viewAgent=2 & AgentIsOnSlipperyNorth & !AgentCannotSlipWest & !AgentCannotSlipNorthWest -> 0.950000: (colAgent'=colAgent-1) + 0.050000: (colAgent'=colAgent-1)&(rowAgent'=rowAgent-1);
+ [Agent_move_West] viewAgent=2 & AgentIsOnSlipperyNorth & AgentCannotSlipWest & !AgentCannotSlipNorthWest -> 1.000000: (colAgent'=colAgent-1)&(rowAgent'=rowAgent-1);
+ [Agent_move_West] viewAgent=2 & AgentIsOnSlipperyNorth & !AgentCannotSlipWest & AgentCannotSlipNorthWest -> 1.000000: (colAgent'=colAgent-1);
+ [Agent_move_West] viewAgent=2 & AgentIsOnSlipperyNorth & AgentCannotSlipWest & AgentCannotSlipNorthWest -> true;
+ [Agent_move_East] viewAgent=0 & AgentIsOnSlipperyNorth & !AgentCannotSlipEast & !AgentCannotSlipNorthEast -> 0.950000: (colAgent'=colAgent+1) + 0.050000: (colAgent'=colAgent+1)&(rowAgent'=rowAgent-1);
+ [Agent_move_East] viewAgent=0 & AgentIsOnSlipperyNorth & AgentCannotSlipEast & !AgentCannotSlipNorthEast -> 1.000000: (colAgent'=colAgent+1)&(rowAgent'=rowAgent-1);
+ [Agent_move_East] viewAgent=0 & AgentIsOnSlipperyNorth & !AgentCannotSlipEast & AgentCannotSlipNorthEast -> 1.000000: (colAgent'=colAgent+1);
+ [Agent_move_East] viewAgent=0 & AgentIsOnSlipperyNorth & AgentCannotSlipEast & AgentCannotSlipNorthEast -> true;
+ [Agent_move_South] viewAgent=1 & AgentIsOnSlipperyNorth & !AgentCannotSlipSouth -> 0.950000: (rowAgent'=rowAgent+1) + 0.050000: true;
+ [Agent_move_South] viewAgent=1 & AgentIsOnSlipperyNorth & AgentCannotSlipSouth -> 1.000000: true;
+ [Agent_turn_right] AgentIsOnSlipperyNorth & !AgentCannotSlipNorth & true -> 0.950000: (viewAgent'=mod(viewAgent+1,4)) + 0.050000: (rowAgent'=rowAgent-1);
+ [Agent_turn_right] AgentIsOnSlipperyNorth & AgentCannotSlipNorth & true -> 1.000000: (viewAgent'=mod(viewAgent+1,4));
+ [Agent_turn_left] AgentIsOnSlipperyNorth & !AgentCannotSlipNorth & viewAgent>0 -> 0.950000: (viewAgent'=viewAgent-1) + 0.050000: (rowAgent'=rowAgent-1);
+ [Agent_turn_left] AgentIsOnSlipperyNorth & !AgentCannotSlipNorth & viewAgent=0 -> 0.950000: (viewAgent'=3) + 0.050000: (rowAgent'=rowAgent-1);
+ [Agent_turn_left] AgentIsOnSlipperyNorth & AgentCannotSlipNorth & viewAgent>0 -> 1.000000: (viewAgent'=viewAgent-1);
+ [Agent_turn_left] AgentIsOnSlipperyNorth & AgentCannotSlipNorth & viewAgent=0 -> 1.000000: (viewAgent'=3);
+ [Agent_move_East] viewAgent=0 & AgentIsOnSlipperyEast & !AgentCannotSlipEast & !AgentCannotSlipSouthEast & !AgentCannotSlipNorthEast -> 0.950000: (colAgent'=colAgent+1) + 0.025000: (colAgent'=colAgent+1)&(rowAgent'=rowAgent+1) + 0.025000: (colAgent'=colAgent+1)&(rowAgent'=rowAgent-1);
+ [Agent_move_East] viewAgent=0 & AgentIsOnSlipperyEast & AgentCannotSlipEast & !AgentCannotSlipSouthEast & !AgentCannotSlipNorthEast -> 0.000000: (colAgent'=colAgent+1)&(rowAgent'=rowAgent+1) + 0.000000: (colAgent'=colAgent+1)&(rowAgent'=rowAgent-1);
+ [Agent_move_East] viewAgent=0 & AgentIsOnSlipperyEast & !AgentCannotSlipEast & AgentCannotSlipSouthEast & !AgentCannotSlipNorthEast -> 0.950000: (colAgent'=colAgent+1) + 0.050000: (colAgent'=colAgent+1)&(rowAgent'=rowAgent-1);
+ [Agent_move_East] viewAgent=0 & AgentIsOnSlipperyEast & !AgentCannotSlipEast & !AgentCannotSlipSouthEast & AgentCannotSlipNorthEast -> 0.950000: (colAgent'=colAgent+1) + 0.050000: (colAgent'=colAgent+1)&(rowAgent'=rowAgent+1);
+ [Agent_move_East] viewAgent=0 & AgentIsOnSlipperyEast & AgentCannotSlipEast & AgentCannotSlipSouthEast & !AgentCannotSlipNorthEast -> 1.000000: (colAgent'=colAgent+1)&(rowAgent'=rowAgent-1);
+ [Agent_move_East] viewAgent=0 & AgentIsOnSlipperyEast & !AgentCannotSlipEast & AgentCannotSlipSouthEast & AgentCannotSlipNorthEast -> 1.000000: (colAgent'=colAgent+1);
+ [Agent_move_East] viewAgent=0 & AgentIsOnSlipperyEast & AgentCannotSlipEast & !AgentCannotSlipSouthEast & AgentCannotSlipNorthEast -> 1.000000: (colAgent'=colAgent+1)&(rowAgent'=rowAgent+1);
+ [Agent_move_East] viewAgent=0 & AgentIsOnSlipperyEast & AgentCannotSlipEast & AgentCannotSlipSouthEast & AgentCannotSlipNorthEast -> true;
+ [Agent_move_North] viewAgent=3 & AgentIsOnSlipperyEast & !AgentCannotSlipNorth & !AgentCannotSlipNorthEast -> 0.950000: (rowAgent'=rowAgent-1) + 0.050000: (colAgent'=colAgent+1)&(rowAgent'=rowAgent-1);
+ [Agent_move_North] viewAgent=3 & AgentIsOnSlipperyEast & AgentCannotSlipNorth & !AgentCannotSlipNorthEast -> 1.000000: (colAgent'=colAgent+1)&(rowAgent'=rowAgent-1);
+ [Agent_move_North] viewAgent=3 & AgentIsOnSlipperyEast & !AgentCannotSlipNorth & AgentCannotSlipNorthEast -> 1.000000: (rowAgent'=rowAgent-1);
+ [Agent_move_North] viewAgent=3 & AgentIsOnSlipperyEast & AgentCannotSlipNorth & AgentCannotSlipNorthEast -> true;
+ [Agent_move_South] viewAgent=1 & AgentIsOnSlipperyEast & !AgentCannotSlipSouth & !AgentCannotSlipSouthEast -> 0.950000: (rowAgent'=rowAgent+1) + 0.050000: (colAgent'=colAgent+1)&(rowAgent'=rowAgent+1);
+ [Agent_move_South] viewAgent=1 & AgentIsOnSlipperyEast & AgentCannotSlipSouth & !AgentCannotSlipSouthEast -> 1.000000: (colAgent'=colAgent+1)&(rowAgent'=rowAgent+1);
+ [Agent_move_South] viewAgent=1 & AgentIsOnSlipperyEast & !AgentCannotSlipSouth & AgentCannotSlipSouthEast -> 1.000000: (rowAgent'=rowAgent+1);
+ [Agent_move_South] viewAgent=1 & AgentIsOnSlipperyEast & AgentCannotSlipSouth & AgentCannotSlipSouthEast -> true;
+ [Agent_move_West] viewAgent=2 & AgentIsOnSlipperyEast & !AgentCannotSlipEast -> 0.950000: (colAgent'=colAgent+1) + 0.050000: true;
+ [Agent_move_West] viewAgent=2 & AgentIsOnSlipperyEast & AgentCannotSlipEast -> 1.000000: true;
+ [Agent_turn_right] AgentIsOnSlipperyEast & !AgentCannotSlipEast & true -> 0.950000: (viewAgent'=mod(viewAgent+1,4)) + 0.050000: (colAgent'=colAgent+1);
+ [Agent_turn_right] AgentIsOnSlipperyEast & AgentCannotSlipEast & true -> 1.000000: (viewAgent'=mod(viewAgent+1,4));
+ [Agent_turn_left] AgentIsOnSlipperyEast & !AgentCannotSlipEast & viewAgent>0 -> 0.950000: (viewAgent'=viewAgent-1) + 0.050000: (colAgent'=colAgent+1);
+ [Agent_turn_left] AgentIsOnSlipperyEast & !AgentCannotSlipEast & viewAgent=0 -> 0.950000: (viewAgent'=3) + 0.050000: (colAgent'=colAgent+1);
+ [Agent_turn_left] AgentIsOnSlipperyEast & AgentCannotSlipEast & viewAgent>0 -> 1.000000: (viewAgent'=viewAgent-1);
+ [Agent_turn_left] AgentIsOnSlipperyEast & AgentCannotSlipEast & viewAgent=0 -> 1.000000: (viewAgent'=3);
+ [Agent_move_South] viewAgent=1 & AgentIsOnSlipperySouth & !AgentCannotSlipSouth & !AgentCannotSlipSouthEast & !AgentCannotSlipSouthWest -> 0.950000: (rowAgent'=rowAgent+1) + 0.025000: (rowAgent'=rowAgent+1)&(colAgent'=colAgent+1) + 0.025000: (rowAgent'=rowAgent+1)&(colAgent'=colAgent-1);
+ [Agent_move_South] viewAgent=1 & AgentIsOnSlipperySouth & AgentCannotSlipSouth & !AgentCannotSlipSouthEast & !AgentCannotSlipSouthWest -> 0.000000: (rowAgent'=rowAgent+1)&(colAgent'=colAgent+1) + 0.000000: (rowAgent'=rowAgent+1)&(colAgent'=colAgent-1);
+ [Agent_move_South] viewAgent=1 & AgentIsOnSlipperySouth & !AgentCannotSlipSouth & AgentCannotSlipSouthEast & !AgentCannotSlipSouthWest -> 0.950000: (rowAgent'=rowAgent+1) + 0.050000: (rowAgent'=rowAgent+1)&(colAgent'=colAgent-1);
+ [Agent_move_South] viewAgent=1 & AgentIsOnSlipperySouth & !AgentCannotSlipSouth & !AgentCannotSlipSouthEast & AgentCannotSlipSouthWest -> 0.950000: (rowAgent'=rowAgent+1) + 0.050000: (rowAgent'=rowAgent+1)&(colAgent'=colAgent+1);
+ [Agent_move_South] viewAgent=1 & AgentIsOnSlipperySouth & AgentCannotSlipSouth & AgentCannotSlipSouthEast & !AgentCannotSlipSouthWest -> 1.000000: (rowAgent'=rowAgent+1)&(colAgent'=colAgent-1);
+ [Agent_move_South] viewAgent=1 & AgentIsOnSlipperySouth & !AgentCannotSlipSouth & AgentCannotSlipSouthEast & AgentCannotSlipSouthWest -> 1.000000: (rowAgent'=rowAgent+1);
+ [Agent_move_South] viewAgent=1 & AgentIsOnSlipperySouth & AgentCannotSlipSouth & !AgentCannotSlipSouthEast & AgentCannotSlipSouthWest -> 1.000000: (rowAgent'=rowAgent+1)&(colAgent'=colAgent+1);
+ [Agent_move_South] viewAgent=1 & AgentIsOnSlipperySouth & AgentCannotSlipSouth & AgentCannotSlipSouthEast & AgentCannotSlipSouthWest -> true;
+ [Agent_move_West] viewAgent=2 & AgentIsOnSlipperySouth & !AgentCannotSlipWest & !AgentCannotSlipSouthWest -> 0.950000: (colAgent'=colAgent-1) + 0.050000: (colAgent'=colAgent-1)&(rowAgent'=rowAgent+1);
+ [Agent_move_West] viewAgent=2 & AgentIsOnSlipperySouth & AgentCannotSlipWest & !AgentCannotSlipSouthWest -> 1.000000: (colAgent'=colAgent-1)&(rowAgent'=rowAgent+1);
+ [Agent_move_West] viewAgent=2 & AgentIsOnSlipperySouth & !AgentCannotSlipWest & AgentCannotSlipSouthWest -> 1.000000: (colAgent'=colAgent-1);
+ [Agent_move_West] viewAgent=2 & AgentIsOnSlipperySouth & AgentCannotSlipWest & AgentCannotSlipSouthWest -> true;
+ [Agent_move_East] viewAgent=0 & AgentIsOnSlipperySouth & !AgentCannotSlipEast & !AgentCannotSlipSouthEast -> 0.950000: (colAgent'=colAgent+1) + 0.050000: (colAgent'=colAgent+1)&(rowAgent'=rowAgent+1);
+ [Agent_move_East] viewAgent=0 & AgentIsOnSlipperySouth & AgentCannotSlipEast & !AgentCannotSlipSouthEast -> 1.000000: (colAgent'=colAgent+1)&(rowAgent'=rowAgent+1);
+ [Agent_move_East] viewAgent=0 & AgentIsOnSlipperySouth & !AgentCannotSlipEast & AgentCannotSlipSouthEast -> 1.000000: (colAgent'=colAgent+1);
+ [Agent_move_East] viewAgent=0 & AgentIsOnSlipperySouth & AgentCannotSlipEast & AgentCannotSlipSouthEast -> true;
+ [Agent_move_North] viewAgent=3 & AgentIsOnSlipperySouth & !AgentCannotSlipSouth -> 0.950000: (rowAgent'=rowAgent-1) + 0.050000: true;
+ [Agent_move_North] viewAgent=3 & AgentIsOnSlipperySouth & AgentCannotSlipSouth -> 1.000000: true;
+ [Agent_turn_right] AgentIsOnSlipperySouth & !AgentCannotSlipSouth & true -> 0.950000: (viewAgent'=mod(viewAgent+1,4)) + 0.050000: (rowAgent'=rowAgent+1);
+ [Agent_turn_right] AgentIsOnSlipperySouth & AgentCannotSlipSouth & true -> 1.000000: (viewAgent'=mod(viewAgent+1,4));
+ [Agent_turn_left] AgentIsOnSlipperySouth & !AgentCannotSlipSouth & viewAgent>0 -> 0.950000: (viewAgent'=viewAgent-1) + 0.050000: (rowAgent'=rowAgent+1);
+ [Agent_turn_left] AgentIsOnSlipperySouth & !AgentCannotSlipSouth & viewAgent=0 -> 0.950000: (viewAgent'=3) + 0.050000: (rowAgent'=rowAgent+1);
+ [Agent_turn_left] AgentIsOnSlipperySouth & AgentCannotSlipSouth & viewAgent>0 -> 1.000000: (viewAgent'=viewAgent-1);
+ [Agent_turn_left] AgentIsOnSlipperySouth & AgentCannotSlipSouth & viewAgent=0 -> 1.000000: (viewAgent'=3);
+ [Agent_move_West] viewAgent=2 & AgentIsOnSlipperyWest & !AgentCannotSlipWest & !AgentCannotSlipSouthWest & !AgentCannotSlipNorthWest -> 0.950000: (colAgent'=colAgent-1) + 0.025000: (colAgent'=colAgent-1)&(rowAgent'=rowAgent+1) + 0.025000: (colAgent'=colAgent-1)&(rowAgent'=rowAgent-1);
+ [Agent_move_West] viewAgent=2 & AgentIsOnSlipperyWest & AgentCannotSlipWest & !AgentCannotSlipSouthWest & !AgentCannotSlipNorthWest -> 0.000000: (colAgent'=colAgent-1)&(rowAgent'=rowAgent+1) + 0.000000: (colAgent'=colAgent-1)&(rowAgent'=rowAgent-1);
+ [Agent_move_West] viewAgent=2 & AgentIsOnSlipperyWest & !AgentCannotSlipWest & AgentCannotSlipSouthWest & !AgentCannotSlipNorthWest -> 0.950000: (colAgent'=colAgent-1) + 0.050000: (colAgent'=colAgent-1)&(rowAgent'=rowAgent-1);
+ [Agent_move_West] viewAgent=2 & AgentIsOnSlipperyWest & !AgentCannotSlipWest & !AgentCannotSlipSouthWest & AgentCannotSlipNorthWest -> 0.950000: (colAgent'=colAgent-1) + 0.050000: (colAgent'=colAgent-1)&(rowAgent'=rowAgent+1);
+ [Agent_move_West] viewAgent=2 & AgentIsOnSlipperyWest & AgentCannotSlipWest & AgentCannotSlipSouthWest & !AgentCannotSlipNorthWest -> 1.000000: (colAgent'=colAgent-1)&(rowAgent'=rowAgent-1);
+ [Agent_move_West] viewAgent=2 & AgentIsOnSlipperyWest & !AgentCannotSlipWest & AgentCannotSlipSouthWest & AgentCannotSlipNorthWest -> 1.000000: (colAgent'=colAgent-1);
+ [Agent_move_West] viewAgent=2 & AgentIsOnSlipperyWest & AgentCannotSlipWest & !AgentCannotSlipSouthWest & AgentCannotSlipNorthWest -> 1.000000: (colAgent'=colAgent-1)&(rowAgent'=rowAgent+1);
+ [Agent_move_West] viewAgent=2 & AgentIsOnSlipperyWest & AgentCannotSlipWest & AgentCannotSlipSouthWest & AgentCannotSlipNorthWest -> true;
+ [Agent_move_North] viewAgent=3 & AgentIsOnSlipperyWest & !AgentCannotSlipNorth & !AgentCannotSlipNorthWest -> 0.950000: (rowAgent'=rowAgent-1) + 0.050000: (colAgent'=colAgent-1)&(rowAgent'=rowAgent-1);
+ [Agent_move_North] viewAgent=3 & AgentIsOnSlipperyWest & AgentCannotSlipNorth & !AgentCannotSlipNorthWest -> 1.000000: (colAgent'=colAgent-1)&(rowAgent'=rowAgent-1);
+ [Agent_move_North] viewAgent=3 & AgentIsOnSlipperyWest & !AgentCannotSlipNorth & AgentCannotSlipNorthWest -> 1.000000: (rowAgent'=rowAgent-1);
+ [Agent_move_North] viewAgent=3 & AgentIsOnSlipperyWest & AgentCannotSlipNorth & AgentCannotSlipNorthWest -> true;
+ [Agent_move_South] viewAgent=1 & AgentIsOnSlipperyWest & !AgentCannotSlipSouth & !AgentCannotSlipSouthWest -> 0.950000: (rowAgent'=rowAgent+1) + 0.050000: (colAgent'=colAgent-1)&(rowAgent'=rowAgent+1);
+ [Agent_move_South] viewAgent=1 & AgentIsOnSlipperyWest & AgentCannotSlipSouth & !AgentCannotSlipSouthWest -> 1.000000: (colAgent'=colAgent-1)&(rowAgent'=rowAgent+1);
+ [Agent_move_South] viewAgent=1 & AgentIsOnSlipperyWest & !AgentCannotSlipSouth & AgentCannotSlipSouthWest -> 1.000000: (rowAgent'=rowAgent+1);
+ [Agent_move_South] viewAgent=1 & AgentIsOnSlipperyWest & AgentCannotSlipSouth & AgentCannotSlipSouthWest -> true;
+ [Agent_move_East] viewAgent=0 & AgentIsOnSlipperyWest & !AgentCannotSlipWest -> 0.950000: (colAgent'=colAgent-1) + 0.050000: true;
+ [Agent_move_East] viewAgent=0 & AgentIsOnSlipperyWest & AgentCannotSlipWest -> 1.000000: true;
+ [Agent_turn_right] AgentIsOnSlipperyWest & !AgentCannotSlipWest & true -> 0.950000: (viewAgent'=mod(viewAgent+1,4)) + 0.050000: (colAgent'=colAgent-1);
+ [Agent_turn_right] AgentIsOnSlipperyWest & AgentCannotSlipWest & true -> 1.000000: (viewAgent'=mod(viewAgent+1,4));
+ [Agent_turn_left] AgentIsOnSlipperyWest & !AgentCannotSlipWest & viewAgent>0 -> 0.950000: (viewAgent'=viewAgent-1) + 0.050000: (colAgent'=colAgent-1);
+ [Agent_turn_left] AgentIsOnSlipperyWest & !AgentCannotSlipWest & viewAgent=0 -> 0.950000: (viewAgent'=3) + 0.050000: (colAgent'=colAgent-1);
+ [Agent_turn_left] AgentIsOnSlipperyWest & AgentCannotSlipWest & viewAgent>0 -> 1.000000: (viewAgent'=viewAgent-1);
+ [Agent_turn_left] AgentIsOnSlipperyWest & AgentCannotSlipWest & viewAgent=0 -> 1.000000: (viewAgent'=3);
+ [Agent_move_East] viewAgent=0 & AgentIsOnSlipperyNorthEast & !AgentCannotSlipNorthEast & !AgentCannotSlipEast -> 0.950000: (colAgent'=colAgent+1) + 0.050000: (rowAgent'=rowAgent-1)&(colAgent'=colAgent+1);
+ [Agent_move_East] viewAgent=0 & AgentIsOnSlipperyNorthEast & !AgentCannotSlipNorthEast & AgentCannotSlipEast -> 1.000000: (rowAgent'=rowAgent-1)&(colAgent'=colAgent+1);
+ [Agent_move_East] viewAgent=0 & AgentIsOnSlipperyNorthEast & AgentCannotSlipNorthEast & !AgentCannotSlipEast -> 1.000000: (colAgent'=colAgent+1);
+ [Agent_move_East] viewAgent=0 & AgentIsOnSlipperyNorthEast & AgentCannotSlipNorthEast & AgentCannotSlipEast -> 1.000000: true;
+ [Agent_move_North] viewAgent=3 & AgentIsOnSlipperyNorthEast & !AgentCannotSlipNorthEast & !AgentCannotSlipNorth -> 0.950000: (rowAgent'=rowAgent-1) + 0.050000: (colAgent'=colAgent+1)&(rowAgent'=rowAgent-1);
+ [Agent_move_North] viewAgent=3 & AgentIsOnSlipperyNorthEast & !AgentCannotSlipNorthEast & AgentCannotSlipNorth -> 1.000000: (rowAgent'=rowAgent-1)&(colAgent'=colAgent+1);
+ [Agent_move_North] viewAgent=3 & AgentIsOnSlipperyNorthEast & AgentCannotSlipNorthEast & !AgentCannotSlipNorth -> 1.000000: (rowAgent'=rowAgent-1);
+ [Agent_move_North] viewAgent=3 & AgentIsOnSlipperyNorthEast & AgentCannotSlipNorthEast & AgentCannotSlipNorth -> 1.000000: true;
+ [Agent_move_South] viewAgent=1 & AgentIsOnSlipperyNorthEast & !AgentCannotSlipNorthEast & !AgentCannotSlipEast & !AgentCannotSlipSouthEast & !AgentCannotSlipSouth -> 0.950000: (rowAgent'=rowAgent+1) + 0.016667: (rowAgent'=rowAgent-1)&(colAgent'=colAgent+1) + 0.016667: (colAgent'=colAgent+1) + 0.016667: (rowAgent'=rowAgent+1)&(colAgent'=colAgent+1);
+ [Agent_move_South] viewAgent=1 & AgentIsOnSlipperyNorthEast & !AgentCannotSlipNorthEast & !AgentCannotSlipEast & !AgentCannotSlipSouthEast & AgentCannotSlipSouth -> 0.333333: (rowAgent'=rowAgent-1)&(colAgent'=colAgent+1) + 0.333333: (colAgent'=colAgent+1) + 0.333333: (rowAgent'=rowAgent+1)&(colAgent'=colAgent+1);
+ [Agent_move_South] viewAgent=1 & AgentIsOnSlipperyNorthEast & !AgentCannotSlipNorthEast & !AgentCannotSlipEast & AgentCannotSlipSouthEast & !AgentCannotSlipSouth -> 0.982759: (rowAgent'=rowAgent+1) + 0.050847: (rowAgent'=rowAgent-1)&(colAgent'=colAgent+1) + 0.050847: (colAgent'=colAgent+1);
+ [Agent_move_South] viewAgent=1 & AgentIsOnSlipperyNorthEast & !AgentCannotSlipNorthEast & !AgentCannotSlipEast & AgentCannotSlipSouthEast & AgentCannotSlipSouth -> 0.500000: (rowAgent'=rowAgent-1)&(colAgent'=colAgent+1) + 0.500000: (colAgent'=colAgent+1);
+ [Agent_move_South] viewAgent=1 & AgentIsOnSlipperyNorthEast & !AgentCannotSlipNorthEast & AgentCannotSlipEast & !AgentCannotSlipSouthEast & !AgentCannotSlipSouth -> 0.982759: (rowAgent'=rowAgent+1) + 0.050847: (rowAgent'=rowAgent-1)&(colAgent'=colAgent+1) + 0.050847: (rowAgent'=rowAgent+1)&(colAgent'=colAgent+1);
+ [Agent_move_South] viewAgent=1 & AgentIsOnSlipperyNorthEast & !AgentCannotSlipNorthEast & AgentCannotSlipEast & !AgentCannotSlipSouthEast & AgentCannotSlipSouth -> 0.500000: (rowAgent'=rowAgent-1)&(colAgent'=colAgent+1) + 0.500000: (rowAgent'=rowAgent+1)&(colAgent'=colAgent+1);
+ [Agent_move_South] viewAgent=1 & AgentIsOnSlipperyNorthEast & !AgentCannotSlipNorthEast & AgentCannotSlipEast & AgentCannotSlipSouthEast & !AgentCannotSlipSouth -> 0.982759: (rowAgent'=rowAgent+1) + 0.051724: (rowAgent'=rowAgent-1)&(colAgent'=colAgent+1);
+ [Agent_move_South] viewAgent=1 & AgentIsOnSlipperyNorthEast & !AgentCannotSlipNorthEast & AgentCannotSlipEast & AgentCannotSlipSouthEast & AgentCannotSlipSouth -> 1.000000: (rowAgent'=rowAgent-1)&(colAgent'=colAgent+1);
+ [Agent_move_South] viewAgent=1 & AgentIsOnSlipperyNorthEast & AgentCannotSlipNorthEast & !AgentCannotSlipEast & !AgentCannotSlipSouthEast & !AgentCannotSlipSouth -> 0.982759: (rowAgent'=rowAgent+1) + 0.050847: (colAgent'=colAgent+1) + 0.050847: (rowAgent'=rowAgent+1)&(colAgent'=colAgent+1);
+ [Agent_move_South] viewAgent=1 & AgentIsOnSlipperyNorthEast & AgentCannotSlipNorthEast & !AgentCannotSlipEast & !AgentCannotSlipSouthEast & AgentCannotSlipSouth -> 0.500000: (colAgent'=colAgent+1) + 0.500000: (rowAgent'=rowAgent+1)&(colAgent'=colAgent+1);
+ [Agent_move_South] viewAgent=1 & AgentIsOnSlipperyNorthEast & AgentCannotSlipNorthEast & !AgentCannotSlipEast & AgentCannotSlipSouthEast & !AgentCannotSlipSouth -> 0.982759: (rowAgent'=rowAgent+1) + 0.051724: (colAgent'=colAgent+1);
+ [Agent_move_South] viewAgent=1 & AgentIsOnSlipperyNorthEast & AgentCannotSlipNorthEast & !AgentCannotSlipEast & AgentCannotSlipSouthEast & AgentCannotSlipSouth -> 1.000000: (colAgent'=colAgent+1);
+ [Agent_move_South] viewAgent=1 & AgentIsOnSlipperyNorthEast & AgentCannotSlipNorthEast & AgentCannotSlipEast & !AgentCannotSlipSouthEast & !AgentCannotSlipSouth -> 0.982759: (rowAgent'=rowAgent+1) + 0.051724: (rowAgent'=rowAgent+1)&(colAgent'=colAgent+1);
+ [Agent_move_South] viewAgent=1 & AgentIsOnSlipperyNorthEast & AgentCannotSlipNorthEast & AgentCannotSlipEast & !AgentCannotSlipSouthEast & AgentCannotSlipSouth -> 1.000000: (rowAgent'=rowAgent+1)&(colAgent'=colAgent+1);
+ [Agent_move_South] viewAgent=1 & AgentIsOnSlipperyNorthEast & AgentCannotSlipNorthEast & AgentCannotSlipEast & AgentCannotSlipSouthEast & !AgentCannotSlipSouth -> 1.000000: (rowAgent'=rowAgent+1);
+ [Agent_move_South] viewAgent=1 & AgentIsOnSlipperyNorthEast & AgentCannotSlipNorthEast & AgentCannotSlipEast & AgentCannotSlipSouthEast & AgentCannotSlipSouth -> 1.000000: true;
+ [Agent_move_West] viewAgent=2 & AgentIsOnSlipperyNorthEast & !AgentCannotSlipWest & !AgentCannotSlipNorthWest & !AgentCannotSlipNorth & !AgentCannotSlipNorthEast -> 0.950000: (colAgent'=colAgent-1) + 0.016667: (rowAgent'=rowAgent-1)&(colAgent'=colAgent-1) + 0.016667: (rowAgent'=rowAgent-1) + 0.016667: (rowAgent'=rowAgent-1)&(colAgent'=colAgent+1);
+ [Agent_move_West] viewAgent=2 & AgentIsOnSlipperyNorthEast & !AgentCannotSlipWest & !AgentCannotSlipNorthWest & !AgentCannotSlipNorth & AgentCannotSlipNorthEast -> 0.966102: (colAgent'=colAgent-1) + 0.050847: (rowAgent'=rowAgent-1)&(colAgent'=colAgent-1) + 0.050847: (rowAgent'=rowAgent-1);
+ [Agent_move_West] viewAgent=2 & AgentIsOnSlipperyNorthEast & !AgentCannotSlipWest & !AgentCannotSlipNorthWest & AgentCannotSlipNorth & !AgentCannotSlipNorthEast -> 0.966102: (colAgent'=colAgent-1) + 0.050847: (rowAgent'=rowAgent-1)&(colAgent'=colAgent-1) + 0.050847: (rowAgent'=rowAgent-1)&(colAgent'=colAgent+1);
+ [Agent_move_West] viewAgent=2 & AgentIsOnSlipperyNorthEast & !AgentCannotSlipWest & !AgentCannotSlipNorthWest & AgentCannotSlipNorth & AgentCannotSlipNorthEast -> 0.982759: (colAgent'=colAgent-1) + 0.051724: (rowAgent'=rowAgent-1)&(colAgent'=colAgent-1);
+ [Agent_move_West] viewAgent=2 & AgentIsOnSlipperyNorthEast & !AgentCannotSlipWest & AgentCannotSlipNorthWest & !AgentCannotSlipNorth & !AgentCannotSlipNorthEast -> 0.966102: (colAgent'=colAgent-1) + 0.050847: (rowAgent'=rowAgent-1) + 0.050847: (rowAgent'=rowAgent-1)&(colAgent'=colAgent+1);
+ [Agent_move_West] viewAgent=2 & AgentIsOnSlipperyNorthEast & !AgentCannotSlipWest & AgentCannotSlipNorthWest & !AgentCannotSlipNorth & AgentCannotSlipNorthEast -> 0.982759: (colAgent'=colAgent-1) + 0.051724: (rowAgent'=rowAgent-1);
+ [Agent_move_West] viewAgent=2 & AgentIsOnSlipperyNorthEast & !AgentCannotSlipWest & AgentCannotSlipNorthWest & AgentCannotSlipNorth & !AgentCannotSlipNorthEast -> 0.982759: (colAgent'=colAgent-1) + 0.051724: (rowAgent'=rowAgent-1)&(colAgent'=colAgent+1);
+ [Agent_move_West] viewAgent=2 & AgentIsOnSlipperyNorthEast & !AgentCannotSlipWest & AgentCannotSlipNorthWest & AgentCannotSlipNorth & AgentCannotSlipNorthEast -> 1.000000: (colAgent'=colAgent-1);
+ [Agent_move_West] viewAgent=2 & AgentIsOnSlipperyNorthEast & AgentCannotSlipWest & !AgentCannotSlipNorthWest & !AgentCannotSlipNorth & !AgentCannotSlipNorthEast -> 0.333333: (rowAgent'=rowAgent-1)&(colAgent'=colAgent-1) + 0.333333: (rowAgent'=rowAgent-1) + 0.333333: (rowAgent'=rowAgent-1)&(colAgent'=colAgent+1);
+ [Agent_move_West] viewAgent=2 & AgentIsOnSlipperyNorthEast & AgentCannotSlipWest & !AgentCannotSlipNorthWest & !AgentCannotSlipNorth & AgentCannotSlipNorthEast -> 0.500000: (rowAgent'=rowAgent-1)&(colAgent'=colAgent-1) + 0.500000: (rowAgent'=rowAgent-1);
+ [Agent_move_West] viewAgent=2 & AgentIsOnSlipperyNorthEast & AgentCannotSlipWest & !AgentCannotSlipNorthWest & AgentCannotSlipNorth & !AgentCannotSlipNorthEast -> 0.500000: (rowAgent'=rowAgent-1)&(colAgent'=colAgent-1) + 0.500000: (rowAgent'=rowAgent-1)&(colAgent'=colAgent+1);
+ [Agent_move_West] viewAgent=2 & AgentIsOnSlipperyNorthEast & AgentCannotSlipWest & !AgentCannotSlipNorthWest & AgentCannotSlipNorth & AgentCannotSlipNorthEast -> 1.000000: (rowAgent'=rowAgent-1)&(colAgent'=colAgent-1);
+ [Agent_move_West] viewAgent=2 & AgentIsOnSlipperyNorthEast & AgentCannotSlipWest & AgentCannotSlipNorthWest & !AgentCannotSlipNorth & !AgentCannotSlipNorthEast -> 0.500000: (rowAgent'=rowAgent-1) + 0.500000: (rowAgent'=rowAgent-1)&(colAgent'=colAgent+1);
+ [Agent_move_West] viewAgent=2 & AgentIsOnSlipperyNorthEast & AgentCannotSlipWest & AgentCannotSlipNorthWest & !AgentCannotSlipNorth & AgentCannotSlipNorthEast -> 1.000000: (rowAgent'=rowAgent-1);
+ [Agent_move_West] viewAgent=2 & AgentIsOnSlipperyNorthEast & AgentCannotSlipWest & AgentCannotSlipNorthWest & AgentCannotSlipNorth & !AgentCannotSlipNorthEast -> 1.000000: (rowAgent'=rowAgent-1)&(colAgent'=colAgent+1);
+ [Agent_move_West] viewAgent=2 & AgentIsOnSlipperyNorthEast & AgentCannotSlipWest & AgentCannotSlipNorthWest & AgentCannotSlipNorth & AgentCannotSlipNorthEast -> 1.000000: true;
+ [Agent_turn_right] AgentIsOnSlipperyNorthEast & true & true -> 1.000000: (viewAgent'=mod(viewAgent+1,4));
+ [Agent_turn_left] AgentIsOnSlipperyNorthEast & true & viewAgent>0 -> 1.000000: (viewAgent'=viewAgent-1);
+ [Agent_turn_left] AgentIsOnSlipperyNorthEast & true & viewAgent=0 -> 1.000000: (viewAgent'=3);
+endmodule
+
diff --git a/notebooks/shielding_files_20241129T122454_58hszne6/grid.txt b/notebooks/shielding_files_20241129T122454_58hszne6/grid.txt
new file mode 100644
index 0000000..a02aea4
--- /dev/null
+++ b/notebooks/shielding_files_20241129T122454_58hszne6/grid.txt
@@ -0,0 +1,49 @@
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+------------------------------------------------------
+WGWGWGWGWGWGWGWGWGWGWGWGWGWGWGWGWGWGWGWGWGWGWGWGWGWGWG
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+------------------------------------------------------
+------------------------------------------------------
+ProbTurnIntended:0.95
+ProbForwardIntended:0.95
diff --git a/notebooks/shielding_files_20241129T122454_58hszne6/shield b/notebooks/shielding_files_20241129T122454_58hszne6/shield
new file mode 100644
index 0000000..1bd56bf
--- /dev/null
+++ b/notebooks/shielding_files_20241129T122454_58hszne6/shield
@@ -0,0 +1,1580 @@
+___________________________________________________________________
+Pre-Safety-Shield with absolute comparison (gamma = 0.900000):
+ model state: choice(s) [<value>: (<action {action label})>]:
+ 0: [colAgent=1 & rowAgent=1 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1: [colAgent=2 & rowAgent=1 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 2: [colAgent=3 & rowAgent=1 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
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+ 1899: [colAgent=8 & rowAgent=1 & viewAgent=2] 1: (0 {Agent_move_West}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1900: [colAgent=9 & rowAgent=1 & viewAgent=2] 1: (0 {Agent_move_West}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1901: [colAgent=10 & rowAgent=1 & viewAgent=2] 1: (0 {Agent_move_West}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1902: [colAgent=12 & rowAgent=1 & viewAgent=2] 1: (0 {Agent_move_West}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1903: [colAgent=13 & rowAgent=1 & viewAgent=2] 1: (0 {Agent_move_West}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1904: [colAgent=14 & rowAgent=1 & viewAgent=2] 1: (0 {Agent_move_West}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1905: [colAgent=15 & rowAgent=1 & viewAgent=2] 1: (0 {Agent_move_West}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1907: [colAgent=20 & rowAgent=1 & viewAgent=2] 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1908: [colAgent=21 & rowAgent=1 & viewAgent=2] 1: (0 {Agent_move_West}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1909: [colAgent=22 & rowAgent=1 & viewAgent=2] 1: (0 {Agent_move_West}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1910: [colAgent=23 & rowAgent=1 & viewAgent=2] 1: (0 {Agent_move_West}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1911: [colAgent=24 & rowAgent=1 & viewAgent=2] 1: (0 {Agent_move_West}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1912: [colAgent=25 & rowAgent=1 & viewAgent=2] 1: (0 {Agent_move_West}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1913: [colAgent=1 & rowAgent=3 & viewAgent=2] 1: (0 {Agent_move_West}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1914: [colAgent=1 & rowAgent=4 & viewAgent=2] 1: (0 {Agent_move_West}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1915: [colAgent=1 & rowAgent=5 & viewAgent=2] 1: (0 {Agent_move_West}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1916: [colAgent=1 & rowAgent=6 & viewAgent=2] 1: (0 {Agent_move_West}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1917: [colAgent=1 & rowAgent=11 & viewAgent=2] 1: (0 {Agent_move_West}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1918: [colAgent=1 & rowAgent=10 & viewAgent=2] 1: (0 {Agent_move_West}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1919: [colAgent=1 & rowAgent=12 & viewAgent=2] 1: (0 {Agent_move_West}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1920: [colAgent=1 & rowAgent=13 & viewAgent=2] 1: (0 {Agent_move_West}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1921: [colAgent=1 & rowAgent=14 & viewAgent=2] 1: (0 {Agent_move_West}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1922: [colAgent=1 & rowAgent=15 & viewAgent=2] 1: (0 {Agent_move_West}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1923: [colAgent=1 & rowAgent=16 & viewAgent=2] 1: (0 {Agent_move_West}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1926: [colAgent=1 & rowAgent=2 & viewAgent=1] 1: (0 {Agent_move_South}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1927: [colAgent=11 & rowAgent=1 & viewAgent=2] 1: (0 {Agent_move_West}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1928: [colAgent=1 & rowAgent=2 & viewAgent=3] 1: (0 {Agent_move_North}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1929: [colAgent=1 & rowAgent=3 & viewAgent=3] 1: (0 {Agent_move_North}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1930: [colAgent=1 & rowAgent=3 & viewAgent=1] 1: (0 {Agent_move_South}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1931: [colAgent=1 & rowAgent=4 & viewAgent=3] 1: (0 {Agent_move_North}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1932: [colAgent=1 & rowAgent=4 & viewAgent=1] 1: (0 {Agent_move_South}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1933: [colAgent=1 & rowAgent=5 & viewAgent=3] 1: (0 {Agent_move_North}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1934: [colAgent=1 & rowAgent=5 & viewAgent=1] 1: (0 {Agent_move_South}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1935: [colAgent=1 & rowAgent=6 & viewAgent=3] 1: (0 {Agent_move_North}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1936: [colAgent=1 & rowAgent=6 & viewAgent=1] 1: (0 {Agent_move_South}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1937: [colAgent=1 & rowAgent=11 & viewAgent=3] 1: (0 {Agent_move_North}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1938: [colAgent=1 & rowAgent=11 & viewAgent=1] 1: (0 {Agent_move_South}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1939: [colAgent=1 & rowAgent=10 & viewAgent=3] 1: (0 {Agent_move_North}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1940: [colAgent=1 & rowAgent=10 & viewAgent=1] 1: (0 {Agent_move_South}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1941: [colAgent=1 & rowAgent=12 & viewAgent=3] 1: (0 {Agent_move_North}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1942: [colAgent=1 & rowAgent=12 & viewAgent=1] 1: (0 {Agent_move_South}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1943: [colAgent=1 & rowAgent=13 & viewAgent=3] 1: (0 {Agent_move_North}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1944: [colAgent=1 & rowAgent=13 & viewAgent=1] 1: (0 {Agent_move_South}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1945: [colAgent=1 & rowAgent=14 & viewAgent=3] 1: (0 {Agent_move_North}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1946: [colAgent=1 & rowAgent=14 & viewAgent=1] 1: (0 {Agent_move_South}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1947: [colAgent=1 & rowAgent=15 & viewAgent=3] 1: (0 {Agent_move_North}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1948: [colAgent=1 & rowAgent=15 & viewAgent=1] 1: (0 {Agent_move_South}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1949: [colAgent=1 & rowAgent=16 & viewAgent=3] 1: (0 {Agent_move_North}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1950: [colAgent=1 & rowAgent=16 & viewAgent=1] 1: (0 {Agent_move_South}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1951: [colAgent=1 & rowAgent=2 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1952: [colAgent=1 & rowAgent=3 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1953: [colAgent=1 & rowAgent=4 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1954: [colAgent=1 & rowAgent=5 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1955: [colAgent=1 & rowAgent=6 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1956: [colAgent=1 & rowAgent=7 & viewAgent=1] 1: (0 {Agent_move_South}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1957: [colAgent=1 & rowAgent=11 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1958: [colAgent=1 & rowAgent=9 & viewAgent=3] 1: (0 {Agent_move_North}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1959: [colAgent=1 & rowAgent=10 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1960: [colAgent=1 & rowAgent=12 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1961: [colAgent=1 & rowAgent=13 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1962: [colAgent=1 & rowAgent=14 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1963: [colAgent=1 & rowAgent=15 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1964: [colAgent=1 & rowAgent=16 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1965: [colAgent=1 & rowAgent=17 & viewAgent=1] 1: (0 {Agent_move_South}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1966: [colAgent=1 & rowAgent=8 & viewAgent=1] 1: (0 {Agent_move_South}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1967: [colAgent=1 & rowAgent=7 & viewAgent=2] 1: (0 {Agent_move_West}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1968: [colAgent=1 & rowAgent=7 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1969: [colAgent=1 & rowAgent=8 & viewAgent=3] 1: (0 {Agent_move_North}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1970: [colAgent=1 & rowAgent=9 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1971: [colAgent=1 & rowAgent=9 & viewAgent=2] 1: (0 {Agent_move_West}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1972: [colAgent=1 & rowAgent=18 & viewAgent=1] 1: (0 {Agent_move_South}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1973: [colAgent=1 & rowAgent=17 & viewAgent=2] 1: (0 {Agent_move_West}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1974: [colAgent=1 & rowAgent=17 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1975: [colAgent=1 & rowAgent=9 & viewAgent=1] 1: (0 {Agent_move_South}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1976: [colAgent=1 & rowAgent=8 & viewAgent=2] 1: (0 {Agent_move_West}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1977: [colAgent=1 & rowAgent=8 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1978: [colAgent=1 & rowAgent=7 & viewAgent=3] 1: (0 {Agent_move_North}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1979: [colAgent=1 & rowAgent=19 & viewAgent=1] 1: (0 {Agent_move_South}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1980: [colAgent=1 & rowAgent=18 & viewAgent=2] 1: (0 {Agent_move_West}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1981: [colAgent=1 & rowAgent=18 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1982: [colAgent=1 & rowAgent=17 & viewAgent=3] 1: (0 {Agent_move_North}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1983: [colAgent=1 & rowAgent=20 & viewAgent=1] 1: (0 {Agent_move_South}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1984: [colAgent=1 & rowAgent=19 & viewAgent=2] 1: (0 {Agent_move_West}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1985: [colAgent=1 & rowAgent=19 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1986: [colAgent=1 & rowAgent=18 & viewAgent=3] 1: (0 {Agent_move_North}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1987: [colAgent=1 & rowAgent=20 & viewAgent=2] 1: (0 {Agent_move_West}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1988: [colAgent=1 & rowAgent=20 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1989: [colAgent=1 & rowAgent=19 & viewAgent=3] 1: (0 {Agent_move_North}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1990: [colAgent=1 & rowAgent=20 & viewAgent=3] 1: (0 {Agent_move_North}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+___________________________________________________________________
diff --git a/notebooks/shielding_files_20241129T122456_wtrsvp2x/grid.prism b/notebooks/shielding_files_20241129T122456_wtrsvp2x/grid.prism
new file mode 100644
index 0000000..d25aadb
--- /dev/null
+++ b/notebooks/shielding_files_20241129T122456_wtrsvp2x/grid.prism
@@ -0,0 +1,183 @@
+mdp
+
+formula AgentCannotMoveEastWall = (colAgent=25&rowAgent=10) | (colAgent=25&rowAgent=14) | (colAgent=25&rowAgent=15) | (colAgent=25&rowAgent=16) | (colAgent=25&rowAgent=17);
+formula AgentCannotMoveNorthWall = (colAgent=16&rowAgent=1) | (colAgent=17&rowAgent=1) | (colAgent=18&rowAgent=1) | (colAgent=19&rowAgent=1);
+formula AgentCannotMoveSouthWall = false;
+formula AgentCannotMoveWestWall = false;
+formula AgentIsOnSlipperyEast = (colAgent=10&rowAgent=2) | (colAgent=11&rowAgent=2) | (colAgent=12&rowAgent=2) | (colAgent=16&rowAgent=3) | (colAgent=17&rowAgent=3) | (colAgent=18&rowAgent=3) | (colAgent=19&rowAgent=3) | (colAgent=16&rowAgent=6) | (colAgent=17&rowAgent=6) | (colAgent=18&rowAgent=6) | (colAgent=19&rowAgent=6) | (colAgent=20&rowAgent=6) | (colAgent=21&rowAgent=6) | (colAgent=22&rowAgent=6) | (colAgent=1&rowAgent=7) | (colAgent=2&rowAgent=7) | (colAgent=3&rowAgent=7) | (colAgent=4&rowAgent=7) | (colAgent=5&rowAgent=7) | (colAgent=6&rowAgent=7) | (colAgent=7&rowAgent=7) | (colAgent=8&rowAgent=7) | (colAgent=9&rowAgent=7) | (colAgent=10&rowAgent=7) | (colAgent=11&rowAgent=7) | (colAgent=1&rowAgent=8) | (colAgent=2&rowAgent=8) | (colAgent=3&rowAgent=8) | (colAgent=4&rowAgent=8) | (colAgent=5&rowAgent=8) | (colAgent=6&rowAgent=8) | (colAgent=7&rowAgent=8) | (colAgent=8&rowAgent=8) | (colAgent=1&rowAgent=9) | (colAgent=2&rowAgent=9) | (colAgent=3&rowAgent=9) | (colAgent=4&rowAgent=9) | (colAgent=5&rowAgent=9) | (colAgent=6&rowAgent=9) | (colAgent=7&rowAgent=9) | (colAgent=8&rowAgent=9) | (colAgent=1&rowAgent=10) | (colAgent=2&rowAgent=10) | (colAgent=3&rowAgent=10) | (colAgent=4&rowAgent=10) | (colAgent=5&rowAgent=10) | (colAgent=6&rowAgent=10) | (colAgent=7&rowAgent=10) | (colAgent=16&rowAgent=12) | (colAgent=17&rowAgent=12) | (colAgent=18&rowAgent=12) | (colAgent=19&rowAgent=12) | (colAgent=20&rowAgent=12) | (colAgent=21&rowAgent=12) | (colAgent=22&rowAgent=13) | (colAgent=23&rowAgent=13) | (colAgent=24&rowAgent=13) | (colAgent=25&rowAgent=13) | (colAgent=1&rowAgent=17) | (colAgent=2&rowAgent=17) | (colAgent=3&rowAgent=17) | (colAgent=4&rowAgent=17) | (colAgent=5&rowAgent=17) | (colAgent=6&rowAgent=17) | (colAgent=7&rowAgent=17) | (colAgent=8&rowAgent=17) | (colAgent=9&rowAgent=17) | (colAgent=10&rowAgent=17) | (colAgent=11&rowAgent=17) | (colAgent=12&rowAgent=17) | (colAgent=13&rowAgent=17) | (colAgent=14&rowAgent=17) | (colAgent=15&rowAgent=17) | (colAgent=1&rowAgent=18) | (colAgent=2&rowAgent=18) | (colAgent=3&rowAgent=18) | (colAgent=4&rowAgent=18) | (colAgent=5&rowAgent=18) | (colAgent=6&rowAgent=18) | (colAgent=7&rowAgent=18) | (colAgent=8&rowAgent=18) | (colAgent=9&rowAgent=18) | (colAgent=10&rowAgent=18) | (colAgent=11&rowAgent=18) | (colAgent=12&rowAgent=18) | (colAgent=13&rowAgent=18) | (colAgent=14&rowAgent=18) | (colAgent=15&rowAgent=18) | (colAgent=16&rowAgent=18) | (colAgent=22&rowAgent=18) | (colAgent=23&rowAgent=18) | (colAgent=24&rowAgent=18) | (colAgent=25&rowAgent=18) | (colAgent=1&rowAgent=19) | (colAgent=2&rowAgent=19) | (colAgent=3&rowAgent=19) | (colAgent=4&rowAgent=19) | (colAgent=5&rowAgent=19) | (colAgent=6&rowAgent=19) | (colAgent=7&rowAgent=19) | (colAgent=8&rowAgent=19) | (colAgent=9&rowAgent=19) | (colAgent=10&rowAgent=19) | (colAgent=11&rowAgent=19) | (colAgent=12&rowAgent=19) | (colAgent=13&rowAgent=19) | (colAgent=14&rowAgent=19) | (colAgent=15&rowAgent=19) | (colAgent=16&rowAgent=19) | (colAgent=17&rowAgent=19) | (colAgent=1&rowAgent=20) | (colAgent=2&rowAgent=20) | (colAgent=3&rowAgent=20) | (colAgent=4&rowAgent=20) | (colAgent=5&rowAgent=20) | (colAgent=6&rowAgent=20) | (colAgent=7&rowAgent=20) | (colAgent=8&rowAgent=20) | (colAgent=9&rowAgent=20) | (colAgent=10&rowAgent=20) | (colAgent=11&rowAgent=20) | (colAgent=12&rowAgent=20) | (colAgent=13&rowAgent=20) | (colAgent=14&rowAgent=20) | (colAgent=15&rowAgent=20) | (colAgent=16&rowAgent=20) | (colAgent=17&rowAgent=20) | (colAgent=18&rowAgent=20);
+formula AgentIsOnSlipperyNorth = (colAgent=15&rowAgent=1) | (colAgent=20&rowAgent=1) | (colAgent=15&rowAgent=2) | (colAgent=20&rowAgent=2) | (colAgent=13&rowAgent=3) | (colAgent=13&rowAgent=4) | (colAgent=13&rowAgent=5) | (colAgent=13&rowAgent=6) | (colAgent=15&rowAgent=7) | (colAgent=24&rowAgent=7) | (colAgent=15&rowAgent=8) | (colAgent=24&rowAgent=8) | (colAgent=15&rowAgent=9) | (colAgent=24&rowAgent=9) | (colAgent=15&rowAgent=10) | (colAgent=24&rowAgent=10) | (colAgent=13&rowAgent=11) | (colAgent=15&rowAgent=11) | (colAgent=24&rowAgent=11) | (colAgent=13&rowAgent=12) | (colAgent=13&rowAgent=13) | (colAgent=13&rowAgent=14) | (colAgent=21&rowAgent=14) | (colAgent=13&rowAgent=15) | (colAgent=21&rowAgent=15) | (colAgent=13&rowAgent=16) | (colAgent=21&rowAgent=16) | (colAgent=21&rowAgent=17);
+formula AgentIsOnSlipperyNorthEast = (colAgent=1&rowAgent=1) | (colAgent=2&rowAgent=1) | (colAgent=3&rowAgent=1) | (colAgent=4&rowAgent=1) | (colAgent=5&rowAgent=1) | (colAgent=6&rowAgent=1) | (colAgent=7&rowAgent=1) | (colAgent=8&rowAgent=1) | (colAgent=9&rowAgent=1) | (colAgent=10&rowAgent=1) | (colAgent=11&rowAgent=1) | (colAgent=12&rowAgent=1) | (colAgent=13&rowAgent=1) | (colAgent=14&rowAgent=1) | (colAgent=21&rowAgent=1) | (colAgent=22&rowAgent=1) | (colAgent=23&rowAgent=1) | (colAgent=24&rowAgent=1) | (colAgent=25&rowAgent=1) | (colAgent=1&rowAgent=2) | (colAgent=2&rowAgent=2) | (colAgent=3&rowAgent=2) | (colAgent=4&rowAgent=2) | (colAgent=5&rowAgent=2) | (colAgent=6&rowAgent=2) | (colAgent=7&rowAgent=2) | (colAgent=8&rowAgent=2) | (colAgent=9&rowAgent=2) | (colAgent=13&rowAgent=2) | (colAgent=14&rowAgent=2) | (colAgent=21&rowAgent=2) | (colAgent=22&rowAgent=2) | (colAgent=23&rowAgent=2) | (colAgent=24&rowAgent=2) | (colAgent=25&rowAgent=2) | (colAgent=1&rowAgent=3) | (colAgent=2&rowAgent=3) | (colAgent=3&rowAgent=3) | (colAgent=4&rowAgent=3) | (colAgent=5&rowAgent=3) | (colAgent=6&rowAgent=3) | (colAgent=7&rowAgent=3) | (colAgent=8&rowAgent=3) | (colAgent=9&rowAgent=3) | (colAgent=14&rowAgent=3) | (colAgent=15&rowAgent=3) | (colAgent=20&rowAgent=3) | (colAgent=21&rowAgent=3) | (colAgent=22&rowAgent=3) | (colAgent=23&rowAgent=3) | (colAgent=24&rowAgent=3) | (colAgent=25&rowAgent=3) | (colAgent=1&rowAgent=4) | (colAgent=2&rowAgent=4) | (colAgent=3&rowAgent=4) | (colAgent=4&rowAgent=4) | (colAgent=5&rowAgent=4) | (colAgent=6&rowAgent=4) | (colAgent=7&rowAgent=4) | (colAgent=8&rowAgent=4) | (colAgent=9&rowAgent=4) | (colAgent=14&rowAgent=4) | (colAgent=15&rowAgent=4) | (colAgent=16&rowAgent=4) | (colAgent=17&rowAgent=4) | (colAgent=18&rowAgent=4) | (colAgent=19&rowAgent=4) | (colAgent=20&rowAgent=4) | (colAgent=21&rowAgent=4) | (colAgent=22&rowAgent=4) | (colAgent=23&rowAgent=4) | (colAgent=24&rowAgent=4) | (colAgent=25&rowAgent=4) | (colAgent=1&rowAgent=5) | (colAgent=2&rowAgent=5) | (colAgent=3&rowAgent=5) | (colAgent=4&rowAgent=5) | (colAgent=5&rowAgent=5) | (colAgent=6&rowAgent=5) | (colAgent=7&rowAgent=5) | (colAgent=8&rowAgent=5) | (colAgent=9&rowAgent=5) | (colAgent=14&rowAgent=5) | (colAgent=15&rowAgent=5) | (colAgent=16&rowAgent=5) | (colAgent=17&rowAgent=5) | (colAgent=18&rowAgent=5) | (colAgent=19&rowAgent=5) | (colAgent=20&rowAgent=5) | (colAgent=21&rowAgent=5) | (colAgent=22&rowAgent=5) | (colAgent=23&rowAgent=5) | (colAgent=24&rowAgent=5) | (colAgent=25&rowAgent=5) | (colAgent=1&rowAgent=6) | (colAgent=2&rowAgent=6) | (colAgent=3&rowAgent=6) | (colAgent=4&rowAgent=6) | (colAgent=5&rowAgent=6) | (colAgent=6&rowAgent=6) | (colAgent=7&rowAgent=6) | (colAgent=8&rowAgent=6) | (colAgent=9&rowAgent=6) | (colAgent=14&rowAgent=6) | (colAgent=15&rowAgent=6) | (colAgent=23&rowAgent=6) | (colAgent=24&rowAgent=6) | (colAgent=25&rowAgent=6) | (colAgent=13&rowAgent=7) | (colAgent=14&rowAgent=7) | (colAgent=25&rowAgent=7) | (colAgent=9&rowAgent=8) | (colAgent=10&rowAgent=8) | (colAgent=11&rowAgent=8) | (colAgent=13&rowAgent=8) | (colAgent=14&rowAgent=8) | (colAgent=25&rowAgent=8) | (colAgent=9&rowAgent=9) | (colAgent=13&rowAgent=9) | (colAgent=14&rowAgent=9) | (colAgent=25&rowAgent=9) | (colAgent=8&rowAgent=10) | (colAgent=13&rowAgent=10) | (colAgent=14&rowAgent=10) | (colAgent=1&rowAgent=11) | (colAgent=2&rowAgent=11) | (colAgent=3&rowAgent=11) | (colAgent=4&rowAgent=11) | (colAgent=5&rowAgent=11) | (colAgent=6&rowAgent=11) | (colAgent=7&rowAgent=11) | (colAgent=14&rowAgent=11) | (colAgent=25&rowAgent=11) | (colAgent=1&rowAgent=12) | (colAgent=2&rowAgent=12) | (colAgent=3&rowAgent=12) | (colAgent=4&rowAgent=12) | (colAgent=5&rowAgent=12) | (colAgent=6&rowAgent=12) | (colAgent=7&rowAgent=12) | (colAgent=14&rowAgent=12) | (colAgent=15&rowAgent=12) | (colAgent=22&rowAgent=12) | (colAgent=23&rowAgent=12) | (colAgent=24&rowAgent=12) | (colAgent=25&rowAgent=12) | (colAgent=1&rowAgent=13) | (colAgent=2&rowAgent=13) | (colAgent=3&rowAgent=13) | (colAgent=4&rowAgent=13) | (colAgent=5&rowAgent=13) | (colAgent=6&rowAgent=13) | (colAgent=7&rowAgent=13) | (colAgent=14&rowAgent=13) | (colAgent=15&rowAgent=13) | (colAgent=16&rowAgent=13) | (colAgent=17&rowAgent=13) | (colAgent=18&rowAgent=13) | (colAgent=19&rowAgent=13) | (colAgent=20&rowAgent=13) | (colAgent=21&rowAgent=13) | (colAgent=1&rowAgent=14) | (colAgent=2&rowAgent=14) | (colAgent=3&rowAgent=14) | (colAgent=4&rowAgent=14) | (colAgent=5&rowAgent=14) | (colAgent=6&rowAgent=14) | (colAgent=7&rowAgent=14) | (colAgent=14&rowAgent=14) | (colAgent=15&rowAgent=14) | (colAgent=16&rowAgent=14) | (colAgent=17&rowAgent=14) | (colAgent=18&rowAgent=14) | (colAgent=19&rowAgent=14) | (colAgent=20&rowAgent=14) | (colAgent=1&rowAgent=15) | (colAgent=2&rowAgent=15) | (colAgent=3&rowAgent=15) | (colAgent=4&rowAgent=15) | (colAgent=5&rowAgent=15) | (colAgent=6&rowAgent=15) | (colAgent=7&rowAgent=15) | (colAgent=14&rowAgent=15) | (colAgent=15&rowAgent=15) | (colAgent=16&rowAgent=15) | (colAgent=17&rowAgent=15) | (colAgent=18&rowAgent=15) | (colAgent=19&rowAgent=15) | (colAgent=20&rowAgent=15) | (colAgent=1&rowAgent=16) | (colAgent=2&rowAgent=16) | (colAgent=3&rowAgent=16) | (colAgent=4&rowAgent=16) | (colAgent=5&rowAgent=16) | (colAgent=6&rowAgent=16) | (colAgent=7&rowAgent=16) | (colAgent=14&rowAgent=16) | (colAgent=15&rowAgent=16) | (colAgent=16&rowAgent=16) | (colAgent=17&rowAgent=16) | (colAgent=18&rowAgent=16) | (colAgent=19&rowAgent=16) | (colAgent=20&rowAgent=16) | (colAgent=16&rowAgent=17) | (colAgent=17&rowAgent=17) | (colAgent=18&rowAgent=17) | (colAgent=19&rowAgent=17) | (colAgent=20&rowAgent=17) | (colAgent=17&rowAgent=18) | (colAgent=18&rowAgent=18) | (colAgent=19&rowAgent=18) | (colAgent=20&rowAgent=18) | (colAgent=21&rowAgent=18) | (colAgent=18&rowAgent=19) | (colAgent=19&rowAgent=19) | (colAgent=20&rowAgent=19) | (colAgent=21&rowAgent=19) | (colAgent=22&rowAgent=19) | (colAgent=23&rowAgent=19) | (colAgent=24&rowAgent=19) | (colAgent=25&rowAgent=19) | (colAgent=19&rowAgent=20) | (colAgent=20&rowAgent=20) | (colAgent=21&rowAgent=20) | (colAgent=22&rowAgent=20) | (colAgent=23&rowAgent=20) | (colAgent=24&rowAgent=20) | (colAgent=25&rowAgent=20);
+formula AgentIsOnSlipperyNorthWest = false;
+formula AgentIsOnSlipperySouth = (colAgent=12&rowAgent=7) | (colAgent=12&rowAgent=8) | (colAgent=12&rowAgent=9) | (colAgent=12&rowAgent=10);
+formula AgentIsOnSlipperySouthEast = false;
+formula AgentIsOnSlipperySouthWest = false;
+formula AgentIsOnSlipperyWest = (colAgent=10&rowAgent=9) | (colAgent=11&rowAgent=9) | (colAgent=9&rowAgent=10) | (colAgent=10&rowAgent=10) | (colAgent=11&rowAgent=10);
+formula AgentIsOnSlippery = AgentIsOnSlipperyEast | AgentIsOnSlipperyNorth | AgentIsOnSlipperyNorthEast | AgentIsOnSlipperyNorthWest | AgentIsOnSlipperySouth | AgentIsOnSlipperySouthEast | AgentIsOnSlipperySouthWest | AgentIsOnSlipperyWest;
+formula AgentCannotSlipEast = (colAgent+1=0&rowAgent=0) | (colAgent+1=1&rowAgent=0) | (colAgent+1=2&rowAgent=0) | (colAgent+1=3&rowAgent=0) | (colAgent+1=4&rowAgent=0) | (colAgent+1=5&rowAgent=0) | (colAgent+1=6&rowAgent=0) | (colAgent+1=7&rowAgent=0) | (colAgent+1=8&rowAgent=0) | (colAgent+1=9&rowAgent=0) | (colAgent+1=10&rowAgent=0) | (colAgent+1=11&rowAgent=0) | (colAgent+1=12&rowAgent=0) | (colAgent+1=13&rowAgent=0) | (colAgent+1=14&rowAgent=0) | (colAgent+1=15&rowAgent=0) | (colAgent+1=16&rowAgent=0) | (colAgent+1=17&rowAgent=0) | (colAgent+1=18&rowAgent=0) | (colAgent+1=19&rowAgent=0) | (colAgent+1=20&rowAgent=0) | (colAgent+1=21&rowAgent=0) | (colAgent+1=22&rowAgent=0) | (colAgent+1=23&rowAgent=0) | (colAgent+1=24&rowAgent=0) | (colAgent+1=25&rowAgent=0) | (colAgent+1=26&rowAgent=0) | (colAgent+1=0&rowAgent=1) | (colAgent+1=26&rowAgent=1) | (colAgent+1=0&rowAgent=2) | (colAgent+1=26&rowAgent=2) | (colAgent+1=0&rowAgent=3) | (colAgent+1=26&rowAgent=3) | (colAgent+1=0&rowAgent=4) | (colAgent+1=26&rowAgent=4) | (colAgent+1=0&rowAgent=5) | (colAgent+1=26&rowAgent=5) | (colAgent+1=0&rowAgent=6) | (colAgent+1=26&rowAgent=6) | (colAgent+1=0&rowAgent=7) | (colAgent+1=26&rowAgent=7) | (colAgent+1=0&rowAgent=8) | (colAgent+1=26&rowAgent=8) | (colAgent+1=0&rowAgent=9) | (colAgent+1=26&rowAgent=9) | (colAgent+1=0&rowAgent=10) | (colAgent+1=26&rowAgent=10) | (colAgent+1=0&rowAgent=11) | (colAgent+1=26&rowAgent=11) | (colAgent+1=0&rowAgent=12) | (colAgent+1=26&rowAgent=12) | (colAgent+1=0&rowAgent=13) | (colAgent+1=26&rowAgent=13) | (colAgent+1=0&rowAgent=14) | (colAgent+1=26&rowAgent=14) | (colAgent+1=0&rowAgent=15) | (colAgent+1=26&rowAgent=15) | (colAgent+1=0&rowAgent=16) | (colAgent+1=26&rowAgent=16) | (colAgent+1=0&rowAgent=17) | (colAgent+1=26&rowAgent=17) | (colAgent+1=0&rowAgent=18) | (colAgent+1=26&rowAgent=18) | (colAgent+1=0&rowAgent=19) | (colAgent+1=26&rowAgent=19) | (colAgent+1=0&rowAgent=20) | (colAgent+1=26&rowAgent=20) | (colAgent+1=0&rowAgent=21) | (colAgent+1=1&rowAgent=21) | (colAgent+1=2&rowAgent=21) | (colAgent+1=3&rowAgent=21) | (colAgent+1=4&rowAgent=21) | (colAgent+1=5&rowAgent=21) | (colAgent+1=6&rowAgent=21) | (colAgent+1=7&rowAgent=21) | (colAgent+1=8&rowAgent=21) | (colAgent+1=9&rowAgent=21) | (colAgent+1=10&rowAgent=21) | (colAgent+1=11&rowAgent=21) | (colAgent+1=12&rowAgent=21) | (colAgent+1=13&rowAgent=21) | (colAgent+1=14&rowAgent=21) | (colAgent+1=15&rowAgent=21) | (colAgent+1=16&rowAgent=21) | (colAgent+1=17&rowAgent=21) | (colAgent+1=18&rowAgent=21) | (colAgent+1=19&rowAgent=21) | (colAgent+1=20&rowAgent=21) | (colAgent+1=21&rowAgent=21) | (colAgent+1=22&rowAgent=21) | (colAgent+1=23&rowAgent=21) | (colAgent+1=24&rowAgent=21) | (colAgent+1=25&rowAgent=21) | (colAgent+1=26&rowAgent=21);
+formula AgentCannotSlipNorth = (colAgent=0&rowAgent-1=0) | (colAgent=1&rowAgent-1=0) | (colAgent=2&rowAgent-1=0) | (colAgent=3&rowAgent-1=0) | (colAgent=4&rowAgent-1=0) | (colAgent=5&rowAgent-1=0) | (colAgent=6&rowAgent-1=0) | (colAgent=7&rowAgent-1=0) | (colAgent=8&rowAgent-1=0) | (colAgent=9&rowAgent-1=0) | (colAgent=10&rowAgent-1=0) | (colAgent=11&rowAgent-1=0) | (colAgent=12&rowAgent-1=0) | (colAgent=13&rowAgent-1=0) | (colAgent=14&rowAgent-1=0) | (colAgent=15&rowAgent-1=0) | (colAgent=16&rowAgent-1=0) | (colAgent=17&rowAgent-1=0) | (colAgent=18&rowAgent-1=0) | (colAgent=19&rowAgent-1=0) | (colAgent=20&rowAgent-1=0) | (colAgent=21&rowAgent-1=0) | (colAgent=22&rowAgent-1=0) | (colAgent=23&rowAgent-1=0) | (colAgent=24&rowAgent-1=0) | (colAgent=25&rowAgent-1=0) | (colAgent=26&rowAgent-1=0) | (colAgent=0&rowAgent-1=1) | (colAgent=26&rowAgent-1=1) | (colAgent=0&rowAgent-1=2) | (colAgent=26&rowAgent-1=2) | (colAgent=0&rowAgent-1=3) | (colAgent=26&rowAgent-1=3) | (colAgent=0&rowAgent-1=4) | (colAgent=26&rowAgent-1=4) | (colAgent=0&rowAgent-1=5) | (colAgent=26&rowAgent-1=5) | (colAgent=0&rowAgent-1=6) | (colAgent=26&rowAgent-1=6) | (colAgent=0&rowAgent-1=7) | (colAgent=26&rowAgent-1=7) | (colAgent=0&rowAgent-1=8) | (colAgent=26&rowAgent-1=8) | (colAgent=0&rowAgent-1=9) | (colAgent=26&rowAgent-1=9) | (colAgent=0&rowAgent-1=10) | (colAgent=26&rowAgent-1=10) | (colAgent=0&rowAgent-1=11) | (colAgent=26&rowAgent-1=11) | (colAgent=0&rowAgent-1=12) | (colAgent=26&rowAgent-1=12) | (colAgent=0&rowAgent-1=13) | (colAgent=26&rowAgent-1=13) | (colAgent=0&rowAgent-1=14) | (colAgent=26&rowAgent-1=14) | (colAgent=0&rowAgent-1=15) | (colAgent=26&rowAgent-1=15) | (colAgent=0&rowAgent-1=16) | (colAgent=26&rowAgent-1=16) | (colAgent=0&rowAgent-1=17) | (colAgent=26&rowAgent-1=17) | (colAgent=0&rowAgent-1=18) | (colAgent=26&rowAgent-1=18) | (colAgent=0&rowAgent-1=19) | (colAgent=26&rowAgent-1=19) | (colAgent=0&rowAgent-1=20) | (colAgent=26&rowAgent-1=20) | (colAgent=0&rowAgent-1=21) | (colAgent=1&rowAgent-1=21) | (colAgent=2&rowAgent-1=21) | (colAgent=3&rowAgent-1=21) | (colAgent=4&rowAgent-1=21) | (colAgent=5&rowAgent-1=21) | (colAgent=6&rowAgent-1=21) | (colAgent=7&rowAgent-1=21) | (colAgent=8&rowAgent-1=21) | (colAgent=9&rowAgent-1=21) | (colAgent=10&rowAgent-1=21) | (colAgent=11&rowAgent-1=21) | (colAgent=12&rowAgent-1=21) | (colAgent=13&rowAgent-1=21) | (colAgent=14&rowAgent-1=21) | (colAgent=15&rowAgent-1=21) | (colAgent=16&rowAgent-1=21) | (colAgent=17&rowAgent-1=21) | (colAgent=18&rowAgent-1=21) | (colAgent=19&rowAgent-1=21) | (colAgent=20&rowAgent-1=21) | (colAgent=21&rowAgent-1=21) | (colAgent=22&rowAgent-1=21) | (colAgent=23&rowAgent-1=21) | (colAgent=24&rowAgent-1=21) | (colAgent=25&rowAgent-1=21) | (colAgent=26&rowAgent-1=21);
+formula AgentCannotSlipNorthEast = (colAgent+1=0&rowAgent-1=0) | (colAgent+1=1&rowAgent-1=0) | (colAgent+1=2&rowAgent-1=0) | (colAgent+1=3&rowAgent-1=0) | (colAgent+1=4&rowAgent-1=0) | (colAgent+1=5&rowAgent-1=0) | (colAgent+1=6&rowAgent-1=0) | (colAgent+1=7&rowAgent-1=0) | (colAgent+1=8&rowAgent-1=0) | (colAgent+1=9&rowAgent-1=0) | (colAgent+1=10&rowAgent-1=0) | (colAgent+1=11&rowAgent-1=0) | (colAgent+1=12&rowAgent-1=0) | (colAgent+1=13&rowAgent-1=0) | (colAgent+1=14&rowAgent-1=0) | (colAgent+1=15&rowAgent-1=0) | (colAgent+1=16&rowAgent-1=0) | (colAgent+1=17&rowAgent-1=0) | (colAgent+1=18&rowAgent-1=0) | (colAgent+1=19&rowAgent-1=0) | (colAgent+1=20&rowAgent-1=0) | (colAgent+1=21&rowAgent-1=0) | (colAgent+1=22&rowAgent-1=0) | (colAgent+1=23&rowAgent-1=0) | (colAgent+1=24&rowAgent-1=0) | (colAgent+1=25&rowAgent-1=0) | (colAgent+1=26&rowAgent-1=0) | (colAgent+1=0&rowAgent-1=1) | (colAgent+1=26&rowAgent-1=1) | (colAgent+1=0&rowAgent-1=2) | (colAgent+1=26&rowAgent-1=2) | (colAgent+1=0&rowAgent-1=3) | (colAgent+1=26&rowAgent-1=3) | (colAgent+1=0&rowAgent-1=4) | (colAgent+1=26&rowAgent-1=4) | (colAgent+1=0&rowAgent-1=5) | (colAgent+1=26&rowAgent-1=5) | (colAgent+1=0&rowAgent-1=6) | (colAgent+1=26&rowAgent-1=6) | (colAgent+1=0&rowAgent-1=7) | (colAgent+1=26&rowAgent-1=7) | (colAgent+1=0&rowAgent-1=8) | (colAgent+1=26&rowAgent-1=8) | (colAgent+1=0&rowAgent-1=9) | (colAgent+1=26&rowAgent-1=9) | (colAgent+1=0&rowAgent-1=10) | (colAgent+1=26&rowAgent-1=10) | (colAgent+1=0&rowAgent-1=11) | (colAgent+1=26&rowAgent-1=11) | (colAgent+1=0&rowAgent-1=12) | (colAgent+1=26&rowAgent-1=12) | (colAgent+1=0&rowAgent-1=13) | (colAgent+1=26&rowAgent-1=13) | (colAgent+1=0&rowAgent-1=14) | (colAgent+1=26&rowAgent-1=14) | (colAgent+1=0&rowAgent-1=15) | (colAgent+1=26&rowAgent-1=15) | (colAgent+1=0&rowAgent-1=16) | (colAgent+1=26&rowAgent-1=16) | (colAgent+1=0&rowAgent-1=17) | (colAgent+1=26&rowAgent-1=17) | (colAgent+1=0&rowAgent-1=18) | (colAgent+1=26&rowAgent-1=18) | (colAgent+1=0&rowAgent-1=19) | (colAgent+1=26&rowAgent-1=19) | (colAgent+1=0&rowAgent-1=20) | (colAgent+1=26&rowAgent-1=20) | (colAgent+1=0&rowAgent-1=21) | (colAgent+1=1&rowAgent-1=21) | (colAgent+1=2&rowAgent-1=21) | (colAgent+1=3&rowAgent-1=21) | (colAgent+1=4&rowAgent-1=21) | (colAgent+1=5&rowAgent-1=21) | (colAgent+1=6&rowAgent-1=21) | (colAgent+1=7&rowAgent-1=21) | (colAgent+1=8&rowAgent-1=21) | (colAgent+1=9&rowAgent-1=21) | (colAgent+1=10&rowAgent-1=21) | (colAgent+1=11&rowAgent-1=21) | (colAgent+1=12&rowAgent-1=21) | (colAgent+1=13&rowAgent-1=21) | (colAgent+1=14&rowAgent-1=21) | (colAgent+1=15&rowAgent-1=21) | (colAgent+1=16&rowAgent-1=21) | (colAgent+1=17&rowAgent-1=21) | (colAgent+1=18&rowAgent-1=21) | (colAgent+1=19&rowAgent-1=21) | (colAgent+1=20&rowAgent-1=21) | (colAgent+1=21&rowAgent-1=21) | (colAgent+1=22&rowAgent-1=21) | (colAgent+1=23&rowAgent-1=21) | (colAgent+1=24&rowAgent-1=21) | (colAgent+1=25&rowAgent-1=21) | (colAgent+1=26&rowAgent-1=21);
+formula AgentCannotSlipNorthWest = (colAgent-1=0&rowAgent-1=0) | (colAgent-1=1&rowAgent-1=0) | (colAgent-1=2&rowAgent-1=0) | (colAgent-1=3&rowAgent-1=0) | (colAgent-1=4&rowAgent-1=0) | (colAgent-1=5&rowAgent-1=0) | (colAgent-1=6&rowAgent-1=0) | (colAgent-1=7&rowAgent-1=0) | (colAgent-1=8&rowAgent-1=0) | (colAgent-1=9&rowAgent-1=0) | (colAgent-1=10&rowAgent-1=0) | (colAgent-1=11&rowAgent-1=0) | (colAgent-1=12&rowAgent-1=0) | (colAgent-1=13&rowAgent-1=0) | (colAgent-1=14&rowAgent-1=0) | (colAgent-1=15&rowAgent-1=0) | (colAgent-1=16&rowAgent-1=0) | (colAgent-1=17&rowAgent-1=0) | (colAgent-1=18&rowAgent-1=0) | (colAgent-1=19&rowAgent-1=0) | (colAgent-1=20&rowAgent-1=0) | (colAgent-1=21&rowAgent-1=0) | (colAgent-1=22&rowAgent-1=0) | (colAgent-1=23&rowAgent-1=0) | (colAgent-1=24&rowAgent-1=0) | (colAgent-1=25&rowAgent-1=0) | (colAgent-1=26&rowAgent-1=0) | (colAgent-1=0&rowAgent-1=1) | (colAgent-1=26&rowAgent-1=1) | (colAgent-1=0&rowAgent-1=2) | (colAgent-1=26&rowAgent-1=2) | (colAgent-1=0&rowAgent-1=3) | (colAgent-1=26&rowAgent-1=3) | (colAgent-1=0&rowAgent-1=4) | (colAgent-1=26&rowAgent-1=4) | (colAgent-1=0&rowAgent-1=5) | (colAgent-1=26&rowAgent-1=5) | (colAgent-1=0&rowAgent-1=6) | (colAgent-1=26&rowAgent-1=6) | (colAgent-1=0&rowAgent-1=7) | (colAgent-1=26&rowAgent-1=7) | (colAgent-1=0&rowAgent-1=8) | (colAgent-1=26&rowAgent-1=8) | (colAgent-1=0&rowAgent-1=9) | (colAgent-1=26&rowAgent-1=9) | (colAgent-1=0&rowAgent-1=10) | (colAgent-1=26&rowAgent-1=10) | (colAgent-1=0&rowAgent-1=11) | (colAgent-1=26&rowAgent-1=11) | (colAgent-1=0&rowAgent-1=12) | (colAgent-1=26&rowAgent-1=12) | (colAgent-1=0&rowAgent-1=13) | (colAgent-1=26&rowAgent-1=13) | (colAgent-1=0&rowAgent-1=14) | (colAgent-1=26&rowAgent-1=14) | (colAgent-1=0&rowAgent-1=15) | (colAgent-1=26&rowAgent-1=15) | (colAgent-1=0&rowAgent-1=16) | (colAgent-1=26&rowAgent-1=16) | (colAgent-1=0&rowAgent-1=17) | (colAgent-1=26&rowAgent-1=17) | (colAgent-1=0&rowAgent-1=18) | (colAgent-1=26&rowAgent-1=18) | (colAgent-1=0&rowAgent-1=19) | (colAgent-1=26&rowAgent-1=19) | (colAgent-1=0&rowAgent-1=20) | (colAgent-1=26&rowAgent-1=20) | (colAgent-1=0&rowAgent-1=21) | (colAgent-1=1&rowAgent-1=21) | (colAgent-1=2&rowAgent-1=21) | (colAgent-1=3&rowAgent-1=21) | (colAgent-1=4&rowAgent-1=21) | (colAgent-1=5&rowAgent-1=21) | (colAgent-1=6&rowAgent-1=21) | (colAgent-1=7&rowAgent-1=21) | (colAgent-1=8&rowAgent-1=21) | (colAgent-1=9&rowAgent-1=21) | (colAgent-1=10&rowAgent-1=21) | (colAgent-1=11&rowAgent-1=21) | (colAgent-1=12&rowAgent-1=21) | (colAgent-1=13&rowAgent-1=21) | (colAgent-1=14&rowAgent-1=21) | (colAgent-1=15&rowAgent-1=21) | (colAgent-1=16&rowAgent-1=21) | (colAgent-1=17&rowAgent-1=21) | (colAgent-1=18&rowAgent-1=21) | (colAgent-1=19&rowAgent-1=21) | (colAgent-1=20&rowAgent-1=21) | (colAgent-1=21&rowAgent-1=21) | (colAgent-1=22&rowAgent-1=21) | (colAgent-1=23&rowAgent-1=21) | (colAgent-1=24&rowAgent-1=21) | (colAgent-1=25&rowAgent-1=21) | (colAgent-1=26&rowAgent-1=21);
+formula AgentCannotSlipSouth = (colAgent=0&rowAgent+1=0) | (colAgent=1&rowAgent+1=0) | (colAgent=2&rowAgent+1=0) | (colAgent=3&rowAgent+1=0) | (colAgent=4&rowAgent+1=0) | (colAgent=5&rowAgent+1=0) | (colAgent=6&rowAgent+1=0) | (colAgent=7&rowAgent+1=0) | (colAgent=8&rowAgent+1=0) | (colAgent=9&rowAgent+1=0) | (colAgent=10&rowAgent+1=0) | (colAgent=11&rowAgent+1=0) | (colAgent=12&rowAgent+1=0) | (colAgent=13&rowAgent+1=0) | (colAgent=14&rowAgent+1=0) | (colAgent=15&rowAgent+1=0) | (colAgent=16&rowAgent+1=0) | (colAgent=17&rowAgent+1=0) | (colAgent=18&rowAgent+1=0) | (colAgent=19&rowAgent+1=0) | (colAgent=20&rowAgent+1=0) | (colAgent=21&rowAgent+1=0) | (colAgent=22&rowAgent+1=0) | (colAgent=23&rowAgent+1=0) | (colAgent=24&rowAgent+1=0) | (colAgent=25&rowAgent+1=0) | (colAgent=26&rowAgent+1=0) | (colAgent=0&rowAgent+1=1) | (colAgent=26&rowAgent+1=1) | (colAgent=0&rowAgent+1=2) | (colAgent=26&rowAgent+1=2) | (colAgent=0&rowAgent+1=3) | (colAgent=26&rowAgent+1=3) | (colAgent=0&rowAgent+1=4) | (colAgent=26&rowAgent+1=4) | (colAgent=0&rowAgent+1=5) | (colAgent=26&rowAgent+1=5) | (colAgent=0&rowAgent+1=6) | (colAgent=26&rowAgent+1=6) | (colAgent=0&rowAgent+1=7) | (colAgent=26&rowAgent+1=7) | (colAgent=0&rowAgent+1=8) | (colAgent=26&rowAgent+1=8) | (colAgent=0&rowAgent+1=9) | (colAgent=26&rowAgent+1=9) | (colAgent=0&rowAgent+1=10) | (colAgent=26&rowAgent+1=10) | (colAgent=0&rowAgent+1=11) | (colAgent=26&rowAgent+1=11) | (colAgent=0&rowAgent+1=12) | (colAgent=26&rowAgent+1=12) | (colAgent=0&rowAgent+1=13) | (colAgent=26&rowAgent+1=13) | (colAgent=0&rowAgent+1=14) | (colAgent=26&rowAgent+1=14) | (colAgent=0&rowAgent+1=15) | (colAgent=26&rowAgent+1=15) | (colAgent=0&rowAgent+1=16) | (colAgent=26&rowAgent+1=16) | (colAgent=0&rowAgent+1=17) | (colAgent=26&rowAgent+1=17) | (colAgent=0&rowAgent+1=18) | (colAgent=26&rowAgent+1=18) | (colAgent=0&rowAgent+1=19) | (colAgent=26&rowAgent+1=19) | (colAgent=0&rowAgent+1=20) | (colAgent=26&rowAgent+1=20) | (colAgent=0&rowAgent+1=21) | (colAgent=1&rowAgent+1=21) | (colAgent=2&rowAgent+1=21) | (colAgent=3&rowAgent+1=21) | (colAgent=4&rowAgent+1=21) | (colAgent=5&rowAgent+1=21) | (colAgent=6&rowAgent+1=21) | (colAgent=7&rowAgent+1=21) | (colAgent=8&rowAgent+1=21) | (colAgent=9&rowAgent+1=21) | (colAgent=10&rowAgent+1=21) | (colAgent=11&rowAgent+1=21) | (colAgent=12&rowAgent+1=21) | (colAgent=13&rowAgent+1=21) | (colAgent=14&rowAgent+1=21) | (colAgent=15&rowAgent+1=21) | (colAgent=16&rowAgent+1=21) | (colAgent=17&rowAgent+1=21) | (colAgent=18&rowAgent+1=21) | (colAgent=19&rowAgent+1=21) | (colAgent=20&rowAgent+1=21) | (colAgent=21&rowAgent+1=21) | (colAgent=22&rowAgent+1=21) | (colAgent=23&rowAgent+1=21) | (colAgent=24&rowAgent+1=21) | (colAgent=25&rowAgent+1=21) | (colAgent=26&rowAgent+1=21);
+formula AgentCannotSlipSouthEast = (colAgent+1=0&rowAgent+1=0) | (colAgent+1=1&rowAgent+1=0) | (colAgent+1=2&rowAgent+1=0) | (colAgent+1=3&rowAgent+1=0) | (colAgent+1=4&rowAgent+1=0) | (colAgent+1=5&rowAgent+1=0) | (colAgent+1=6&rowAgent+1=0) | (colAgent+1=7&rowAgent+1=0) | (colAgent+1=8&rowAgent+1=0) | (colAgent+1=9&rowAgent+1=0) | (colAgent+1=10&rowAgent+1=0) | (colAgent+1=11&rowAgent+1=0) | (colAgent+1=12&rowAgent+1=0) | (colAgent+1=13&rowAgent+1=0) | (colAgent+1=14&rowAgent+1=0) | (colAgent+1=15&rowAgent+1=0) | (colAgent+1=16&rowAgent+1=0) | (colAgent+1=17&rowAgent+1=0) | (colAgent+1=18&rowAgent+1=0) | (colAgent+1=19&rowAgent+1=0) | (colAgent+1=20&rowAgent+1=0) | (colAgent+1=21&rowAgent+1=0) | (colAgent+1=22&rowAgent+1=0) | (colAgent+1=23&rowAgent+1=0) | (colAgent+1=24&rowAgent+1=0) | (colAgent+1=25&rowAgent+1=0) | (colAgent+1=26&rowAgent+1=0) | (colAgent+1=0&rowAgent+1=1) | (colAgent+1=26&rowAgent+1=1) | (colAgent+1=0&rowAgent+1=2) | (colAgent+1=26&rowAgent+1=2) | (colAgent+1=0&rowAgent+1=3) | (colAgent+1=26&rowAgent+1=3) | (colAgent+1=0&rowAgent+1=4) | (colAgent+1=26&rowAgent+1=4) | (colAgent+1=0&rowAgent+1=5) | (colAgent+1=26&rowAgent+1=5) | (colAgent+1=0&rowAgent+1=6) | (colAgent+1=26&rowAgent+1=6) | (colAgent+1=0&rowAgent+1=7) | (colAgent+1=26&rowAgent+1=7) | (colAgent+1=0&rowAgent+1=8) | (colAgent+1=26&rowAgent+1=8) | (colAgent+1=0&rowAgent+1=9) | (colAgent+1=26&rowAgent+1=9) | (colAgent+1=0&rowAgent+1=10) | (colAgent+1=26&rowAgent+1=10) | (colAgent+1=0&rowAgent+1=11) | (colAgent+1=26&rowAgent+1=11) | (colAgent+1=0&rowAgent+1=12) | (colAgent+1=26&rowAgent+1=12) | (colAgent+1=0&rowAgent+1=13) | (colAgent+1=26&rowAgent+1=13) | (colAgent+1=0&rowAgent+1=14) | (colAgent+1=26&rowAgent+1=14) | (colAgent+1=0&rowAgent+1=15) | (colAgent+1=26&rowAgent+1=15) | (colAgent+1=0&rowAgent+1=16) | (colAgent+1=26&rowAgent+1=16) | (colAgent+1=0&rowAgent+1=17) | (colAgent+1=26&rowAgent+1=17) | (colAgent+1=0&rowAgent+1=18) | (colAgent+1=26&rowAgent+1=18) | (colAgent+1=0&rowAgent+1=19) | (colAgent+1=26&rowAgent+1=19) | (colAgent+1=0&rowAgent+1=20) | (colAgent+1=26&rowAgent+1=20) | (colAgent+1=0&rowAgent+1=21) | (colAgent+1=1&rowAgent+1=21) | (colAgent+1=2&rowAgent+1=21) | (colAgent+1=3&rowAgent+1=21) | (colAgent+1=4&rowAgent+1=21) | (colAgent+1=5&rowAgent+1=21) | (colAgent+1=6&rowAgent+1=21) | (colAgent+1=7&rowAgent+1=21) | (colAgent+1=8&rowAgent+1=21) | (colAgent+1=9&rowAgent+1=21) | (colAgent+1=10&rowAgent+1=21) | (colAgent+1=11&rowAgent+1=21) | (colAgent+1=12&rowAgent+1=21) | (colAgent+1=13&rowAgent+1=21) | (colAgent+1=14&rowAgent+1=21) | (colAgent+1=15&rowAgent+1=21) | (colAgent+1=16&rowAgent+1=21) | (colAgent+1=17&rowAgent+1=21) | (colAgent+1=18&rowAgent+1=21) | (colAgent+1=19&rowAgent+1=21) | (colAgent+1=20&rowAgent+1=21) | (colAgent+1=21&rowAgent+1=21) | (colAgent+1=22&rowAgent+1=21) | (colAgent+1=23&rowAgent+1=21) | (colAgent+1=24&rowAgent+1=21) | (colAgent+1=25&rowAgent+1=21) | (colAgent+1=26&rowAgent+1=21);
+formula AgentCannotSlipSouthWest = (colAgent-1=0&rowAgent+1=0) | (colAgent-1=1&rowAgent+1=0) | (colAgent-1=2&rowAgent+1=0) | (colAgent-1=3&rowAgent+1=0) | (colAgent-1=4&rowAgent+1=0) | (colAgent-1=5&rowAgent+1=0) | (colAgent-1=6&rowAgent+1=0) | (colAgent-1=7&rowAgent+1=0) | (colAgent-1=8&rowAgent+1=0) | (colAgent-1=9&rowAgent+1=0) | (colAgent-1=10&rowAgent+1=0) | (colAgent-1=11&rowAgent+1=0) | (colAgent-1=12&rowAgent+1=0) | (colAgent-1=13&rowAgent+1=0) | (colAgent-1=14&rowAgent+1=0) | (colAgent-1=15&rowAgent+1=0) | (colAgent-1=16&rowAgent+1=0) | (colAgent-1=17&rowAgent+1=0) | (colAgent-1=18&rowAgent+1=0) | (colAgent-1=19&rowAgent+1=0) | (colAgent-1=20&rowAgent+1=0) | (colAgent-1=21&rowAgent+1=0) | (colAgent-1=22&rowAgent+1=0) | (colAgent-1=23&rowAgent+1=0) | (colAgent-1=24&rowAgent+1=0) | (colAgent-1=25&rowAgent+1=0) | (colAgent-1=26&rowAgent+1=0) | (colAgent-1=0&rowAgent+1=1) | (colAgent-1=26&rowAgent+1=1) | (colAgent-1=0&rowAgent+1=2) | (colAgent-1=26&rowAgent+1=2) | (colAgent-1=0&rowAgent+1=3) | (colAgent-1=26&rowAgent+1=3) | (colAgent-1=0&rowAgent+1=4) | (colAgent-1=26&rowAgent+1=4) | (colAgent-1=0&rowAgent+1=5) | (colAgent-1=26&rowAgent+1=5) | (colAgent-1=0&rowAgent+1=6) | (colAgent-1=26&rowAgent+1=6) | (colAgent-1=0&rowAgent+1=7) | (colAgent-1=26&rowAgent+1=7) | (colAgent-1=0&rowAgent+1=8) | (colAgent-1=26&rowAgent+1=8) | (colAgent-1=0&rowAgent+1=9) | (colAgent-1=26&rowAgent+1=9) | (colAgent-1=0&rowAgent+1=10) | (colAgent-1=26&rowAgent+1=10) | (colAgent-1=0&rowAgent+1=11) | (colAgent-1=26&rowAgent+1=11) | (colAgent-1=0&rowAgent+1=12) | (colAgent-1=26&rowAgent+1=12) | (colAgent-1=0&rowAgent+1=13) | (colAgent-1=26&rowAgent+1=13) | (colAgent-1=0&rowAgent+1=14) | (colAgent-1=26&rowAgent+1=14) | (colAgent-1=0&rowAgent+1=15) | (colAgent-1=26&rowAgent+1=15) | (colAgent-1=0&rowAgent+1=16) | (colAgent-1=26&rowAgent+1=16) | (colAgent-1=0&rowAgent+1=17) | (colAgent-1=26&rowAgent+1=17) | (colAgent-1=0&rowAgent+1=18) | (colAgent-1=26&rowAgent+1=18) | (colAgent-1=0&rowAgent+1=19) | (colAgent-1=26&rowAgent+1=19) | (colAgent-1=0&rowAgent+1=20) | (colAgent-1=26&rowAgent+1=20) | (colAgent-1=0&rowAgent+1=21) | (colAgent-1=1&rowAgent+1=21) | (colAgent-1=2&rowAgent+1=21) | (colAgent-1=3&rowAgent+1=21) | (colAgent-1=4&rowAgent+1=21) | (colAgent-1=5&rowAgent+1=21) | (colAgent-1=6&rowAgent+1=21) | (colAgent-1=7&rowAgent+1=21) | (colAgent-1=8&rowAgent+1=21) | (colAgent-1=9&rowAgent+1=21) | (colAgent-1=10&rowAgent+1=21) | (colAgent-1=11&rowAgent+1=21) | (colAgent-1=12&rowAgent+1=21) | (colAgent-1=13&rowAgent+1=21) | (colAgent-1=14&rowAgent+1=21) | (colAgent-1=15&rowAgent+1=21) | (colAgent-1=16&rowAgent+1=21) | (colAgent-1=17&rowAgent+1=21) | (colAgent-1=18&rowAgent+1=21) | (colAgent-1=19&rowAgent+1=21) | (colAgent-1=20&rowAgent+1=21) | (colAgent-1=21&rowAgent+1=21) | (colAgent-1=22&rowAgent+1=21) | (colAgent-1=23&rowAgent+1=21) | (colAgent-1=24&rowAgent+1=21) | (colAgent-1=25&rowAgent+1=21) | (colAgent-1=26&rowAgent+1=21);
+formula AgentCannotSlipWest = (colAgent-1=0&rowAgent=0) | (colAgent-1=1&rowAgent=0) | (colAgent-1=2&rowAgent=0) | (colAgent-1=3&rowAgent=0) | (colAgent-1=4&rowAgent=0) | (colAgent-1=5&rowAgent=0) | (colAgent-1=6&rowAgent=0) | (colAgent-1=7&rowAgent=0) | (colAgent-1=8&rowAgent=0) | (colAgent-1=9&rowAgent=0) | (colAgent-1=10&rowAgent=0) | (colAgent-1=11&rowAgent=0) | (colAgent-1=12&rowAgent=0) | (colAgent-1=13&rowAgent=0) | (colAgent-1=14&rowAgent=0) | (colAgent-1=15&rowAgent=0) | (colAgent-1=16&rowAgent=0) | (colAgent-1=17&rowAgent=0) | (colAgent-1=18&rowAgent=0) | (colAgent-1=19&rowAgent=0) | (colAgent-1=20&rowAgent=0) | (colAgent-1=21&rowAgent=0) | (colAgent-1=22&rowAgent=0) | (colAgent-1=23&rowAgent=0) | (colAgent-1=24&rowAgent=0) | (colAgent-1=25&rowAgent=0) | (colAgent-1=26&rowAgent=0) | (colAgent-1=0&rowAgent=1) | (colAgent-1=26&rowAgent=1) | (colAgent-1=0&rowAgent=2) | (colAgent-1=26&rowAgent=2) | (colAgent-1=0&rowAgent=3) | (colAgent-1=26&rowAgent=3) | (colAgent-1=0&rowAgent=4) | (colAgent-1=26&rowAgent=4) | (colAgent-1=0&rowAgent=5) | (colAgent-1=26&rowAgent=5) | (colAgent-1=0&rowAgent=6) | (colAgent-1=26&rowAgent=6) | (colAgent-1=0&rowAgent=7) | (colAgent-1=26&rowAgent=7) | (colAgent-1=0&rowAgent=8) | (colAgent-1=26&rowAgent=8) | (colAgent-1=0&rowAgent=9) | (colAgent-1=26&rowAgent=9) | (colAgent-1=0&rowAgent=10) | (colAgent-1=26&rowAgent=10) | (colAgent-1=0&rowAgent=11) | (colAgent-1=26&rowAgent=11) | (colAgent-1=0&rowAgent=12) | (colAgent-1=26&rowAgent=12) | (colAgent-1=0&rowAgent=13) | (colAgent-1=26&rowAgent=13) | (colAgent-1=0&rowAgent=14) | (colAgent-1=26&rowAgent=14) | (colAgent-1=0&rowAgent=15) | (colAgent-1=26&rowAgent=15) | (colAgent-1=0&rowAgent=16) | (colAgent-1=26&rowAgent=16) | (colAgent-1=0&rowAgent=17) | (colAgent-1=26&rowAgent=17) | (colAgent-1=0&rowAgent=18) | (colAgent-1=26&rowAgent=18) | (colAgent-1=0&rowAgent=19) | (colAgent-1=26&rowAgent=19) | (colAgent-1=0&rowAgent=20) | (colAgent-1=26&rowAgent=20) | (colAgent-1=0&rowAgent=21) | (colAgent-1=1&rowAgent=21) | (colAgent-1=2&rowAgent=21) | (colAgent-1=3&rowAgent=21) | (colAgent-1=4&rowAgent=21) | (colAgent-1=5&rowAgent=21) | (colAgent-1=6&rowAgent=21) | (colAgent-1=7&rowAgent=21) | (colAgent-1=8&rowAgent=21) | (colAgent-1=9&rowAgent=21) | (colAgent-1=10&rowAgent=21) | (colAgent-1=11&rowAgent=21) | (colAgent-1=12&rowAgent=21) | (colAgent-1=13&rowAgent=21) | (colAgent-1=14&rowAgent=21) | (colAgent-1=15&rowAgent=21) | (colAgent-1=16&rowAgent=21) | (colAgent-1=17&rowAgent=21) | (colAgent-1=18&rowAgent=21) | (colAgent-1=19&rowAgent=21) | (colAgent-1=20&rowAgent=21) | (colAgent-1=21&rowAgent=21) | (colAgent-1=22&rowAgent=21) | (colAgent-1=23&rowAgent=21) | (colAgent-1=24&rowAgent=21) | (colAgent-1=25&rowAgent=21) | (colAgent-1=26&rowAgent=21);
+formula AgentIsOnLava = (colAgent=16&rowAgent=1) | (colAgent=17&rowAgent=1) | (colAgent=18&rowAgent=1) | (colAgent=19&rowAgent=1) | (colAgent=16&rowAgent=2) | (colAgent=17&rowAgent=2) | (colAgent=18&rowAgent=2) | (colAgent=19&rowAgent=2) | (colAgent=10&rowAgent=3) | (colAgent=11&rowAgent=3) | (colAgent=12&rowAgent=3) | (colAgent=10&rowAgent=4) | (colAgent=11&rowAgent=4) | (colAgent=12&rowAgent=4) | (colAgent=10&rowAgent=5) | (colAgent=11&rowAgent=5) | (colAgent=12&rowAgent=5) | (colAgent=10&rowAgent=6) | (colAgent=11&rowAgent=6) | (colAgent=12&rowAgent=6) | (colAgent=16&rowAgent=7) | (colAgent=17&rowAgent=7) | (colAgent=18&rowAgent=7) | (colAgent=19&rowAgent=7) | (colAgent=20&rowAgent=7) | (colAgent=21&rowAgent=7) | (colAgent=22&rowAgent=7) | (colAgent=23&rowAgent=7) | (colAgent=16&rowAgent=8) | (colAgent=17&rowAgent=8) | (colAgent=18&rowAgent=8) | (colAgent=19&rowAgent=8) | (colAgent=20&rowAgent=8) | (colAgent=21&rowAgent=8) | (colAgent=22&rowAgent=8) | (colAgent=23&rowAgent=8) | (colAgent=16&rowAgent=9) | (colAgent=17&rowAgent=9) | (colAgent=18&rowAgent=9) | (colAgent=19&rowAgent=9) | (colAgent=20&rowAgent=9) | (colAgent=21&rowAgent=9) | (colAgent=22&rowAgent=9) | (colAgent=23&rowAgent=9) | (colAgent=16&rowAgent=10) | (colAgent=17&rowAgent=10) | (colAgent=18&rowAgent=10) | (colAgent=19&rowAgent=10) | (colAgent=20&rowAgent=10) | (colAgent=21&rowAgent=10) | (colAgent=22&rowAgent=10) | (colAgent=23&rowAgent=10) | (colAgent=8&rowAgent=11) | (colAgent=9&rowAgent=11) | (colAgent=10&rowAgent=11) | (colAgent=11&rowAgent=11) | (colAgent=12&rowAgent=11) | (colAgent=16&rowAgent=11) | (colAgent=17&rowAgent=11) | (colAgent=18&rowAgent=11) | (colAgent=19&rowAgent=11) | (colAgent=20&rowAgent=11) | (colAgent=21&rowAgent=11) | (colAgent=22&rowAgent=11) | (colAgent=23&rowAgent=11) | (colAgent=8&rowAgent=12) | (colAgent=9&rowAgent=12) | (colAgent=10&rowAgent=12) | (colAgent=11&rowAgent=12) | (colAgent=12&rowAgent=12) | (colAgent=8&rowAgent=13) | (colAgent=9&rowAgent=13) | (colAgent=10&rowAgent=13) | (colAgent=11&rowAgent=13) | (colAgent=12&rowAgent=13) | (colAgent=8&rowAgent=14) | (colAgent=9&rowAgent=14) | (colAgent=10&rowAgent=14) | (colAgent=11&rowAgent=14) | (colAgent=12&rowAgent=14) | (colAgent=22&rowAgent=14) | (colAgent=23&rowAgent=14) | (colAgent=24&rowAgent=14) | (colAgent=25&rowAgent=14) | (colAgent=8&rowAgent=15) | (colAgent=9&rowAgent=15) | (colAgent=10&rowAgent=15) | (colAgent=11&rowAgent=15) | (colAgent=12&rowAgent=15) | (colAgent=22&rowAgent=15) | (colAgent=23&rowAgent=15) | (colAgent=24&rowAgent=15) | (colAgent=25&rowAgent=15) | (colAgent=8&rowAgent=16) | (colAgent=9&rowAgent=16) | (colAgent=10&rowAgent=16) | (colAgent=11&rowAgent=16) | (colAgent=12&rowAgent=16) | (colAgent=22&rowAgent=16) | (colAgent=23&rowAgent=16) | (colAgent=24&rowAgent=16) | (colAgent=25&rowAgent=16) | (colAgent=22&rowAgent=17) | (colAgent=23&rowAgent=17) | (colAgent=24&rowAgent=17) | (colAgent=25&rowAgent=17);
+formula AgentIsOnGoal = (colAgent=25&rowAgent=10);
+init
+ true
+endinit
+
+
+module Agent
+ colAgent : [1..25];
+ rowAgent : [1..20];
+ viewAgent : [0..3];
+
+ [Agent_turn_right] !AgentIsOnSlippery & !AgentIsOnLava &true -> 1.000000: (viewAgent'=mod(viewAgent+1,4));
+ [Agent_turn_left] !AgentIsOnSlippery & !AgentIsOnLava &viewAgent>0 -> 1.000000: (viewAgent'=viewAgent-1);
+ [Agent_turn_left] !AgentIsOnSlippery & !AgentIsOnLava &viewAgent=0 -> 1.000000: (viewAgent'=3);
+ [Agent_move_North] viewAgent=3 & !AgentIsOnSlippery & !AgentIsOnLava & !AgentIsOnGoal & !AgentCannotMoveNorthWall -> 1.000000: (rowAgent'=rowAgent-1);
+ [Agent_move_East] viewAgent=0 & !AgentIsOnSlippery & !AgentIsOnLava & !AgentIsOnGoal & !AgentCannotMoveEastWall -> 1.000000: (colAgent'=colAgent+1);
+ [Agent_move_South] viewAgent=1 & !AgentIsOnSlippery & !AgentIsOnLava & !AgentIsOnGoal & !AgentCannotMoveSouthWall -> 1.000000: (rowAgent'=rowAgent+1);
+ [Agent_move_West] viewAgent=2 & !AgentIsOnSlippery & !AgentIsOnLava & !AgentIsOnGoal & !AgentCannotMoveWestWall -> 1.000000: (colAgent'=colAgent-1);
+ [Agent_move_North] viewAgent=3 & AgentIsOnSlipperyNorth & !AgentCannotSlipNorth & !AgentCannotSlipNorthEast & !AgentCannotSlipNorthWest -> 0.950000: (rowAgent'=rowAgent-1) + 0.025000: (rowAgent'=rowAgent-1)&(colAgent'=colAgent+1) + 0.025000: (rowAgent'=rowAgent-1)&(colAgent'=colAgent-1);
+ [Agent_move_North] viewAgent=3 & AgentIsOnSlipperyNorth & AgentCannotSlipNorth & !AgentCannotSlipNorthEast & !AgentCannotSlipNorthWest -> 0.000000: (rowAgent'=rowAgent-1)&(colAgent'=colAgent+1) + 0.000000: (rowAgent'=rowAgent-1)&(colAgent'=colAgent-1);
+ [Agent_move_North] viewAgent=3 & AgentIsOnSlipperyNorth & !AgentCannotSlipNorth & AgentCannotSlipNorthEast & !AgentCannotSlipNorthWest -> 0.950000: (rowAgent'=rowAgent-1) + 0.050000: (rowAgent'=rowAgent-1)&(colAgent'=colAgent-1);
+ [Agent_move_North] viewAgent=3 & AgentIsOnSlipperyNorth & !AgentCannotSlipNorth & !AgentCannotSlipNorthEast & AgentCannotSlipNorthWest -> 0.950000: (rowAgent'=rowAgent-1) + 0.050000: (rowAgent'=rowAgent-1)&(colAgent'=colAgent+1);
+ [Agent_move_North] viewAgent=3 & AgentIsOnSlipperyNorth & AgentCannotSlipNorth & AgentCannotSlipNorthEast & !AgentCannotSlipNorthWest -> 1.000000: (rowAgent'=rowAgent-1)&(colAgent'=colAgent-1);
+ [Agent_move_North] viewAgent=3 & AgentIsOnSlipperyNorth & !AgentCannotSlipNorth & AgentCannotSlipNorthEast & AgentCannotSlipNorthWest -> 1.000000: (rowAgent'=rowAgent-1);
+ [Agent_move_North] viewAgent=3 & AgentIsOnSlipperyNorth & AgentCannotSlipNorth & !AgentCannotSlipNorthEast & AgentCannotSlipNorthWest -> 1.000000: (rowAgent'=rowAgent-1)&(colAgent'=colAgent+1);
+ [Agent_move_North] viewAgent=3 & AgentIsOnSlipperyNorth & AgentCannotSlipNorth & AgentCannotSlipNorthEast & AgentCannotSlipNorthWest -> true;
+ [Agent_move_West] viewAgent=2 & AgentIsOnSlipperyNorth & !AgentCannotSlipWest & !AgentCannotSlipNorthWest -> 0.950000: (colAgent'=colAgent-1) + 0.050000: (colAgent'=colAgent-1)&(rowAgent'=rowAgent-1);
+ [Agent_move_West] viewAgent=2 & AgentIsOnSlipperyNorth & AgentCannotSlipWest & !AgentCannotSlipNorthWest -> 1.000000: (colAgent'=colAgent-1)&(rowAgent'=rowAgent-1);
+ [Agent_move_West] viewAgent=2 & AgentIsOnSlipperyNorth & !AgentCannotSlipWest & AgentCannotSlipNorthWest -> 1.000000: (colAgent'=colAgent-1);
+ [Agent_move_West] viewAgent=2 & AgentIsOnSlipperyNorth & AgentCannotSlipWest & AgentCannotSlipNorthWest -> true;
+ [Agent_move_East] viewAgent=0 & AgentIsOnSlipperyNorth & !AgentCannotSlipEast & !AgentCannotSlipNorthEast -> 0.950000: (colAgent'=colAgent+1) + 0.050000: (colAgent'=colAgent+1)&(rowAgent'=rowAgent-1);
+ [Agent_move_East] viewAgent=0 & AgentIsOnSlipperyNorth & AgentCannotSlipEast & !AgentCannotSlipNorthEast -> 1.000000: (colAgent'=colAgent+1)&(rowAgent'=rowAgent-1);
+ [Agent_move_East] viewAgent=0 & AgentIsOnSlipperyNorth & !AgentCannotSlipEast & AgentCannotSlipNorthEast -> 1.000000: (colAgent'=colAgent+1);
+ [Agent_move_East] viewAgent=0 & AgentIsOnSlipperyNorth & AgentCannotSlipEast & AgentCannotSlipNorthEast -> true;
+ [Agent_move_South] viewAgent=1 & AgentIsOnSlipperyNorth & !AgentCannotSlipSouth -> 0.950000: (rowAgent'=rowAgent+1) + 0.050000: true;
+ [Agent_move_South] viewAgent=1 & AgentIsOnSlipperyNorth & AgentCannotSlipSouth -> 1.000000: true;
+ [Agent_turn_right] AgentIsOnSlipperyNorth & !AgentCannotSlipNorth & true -> 0.950000: (viewAgent'=mod(viewAgent+1,4)) + 0.050000: (rowAgent'=rowAgent-1);
+ [Agent_turn_right] AgentIsOnSlipperyNorth & AgentCannotSlipNorth & true -> 1.000000: (viewAgent'=mod(viewAgent+1,4));
+ [Agent_turn_left] AgentIsOnSlipperyNorth & !AgentCannotSlipNorth & viewAgent>0 -> 0.950000: (viewAgent'=viewAgent-1) + 0.050000: (rowAgent'=rowAgent-1);
+ [Agent_turn_left] AgentIsOnSlipperyNorth & !AgentCannotSlipNorth & viewAgent=0 -> 0.950000: (viewAgent'=3) + 0.050000: (rowAgent'=rowAgent-1);
+ [Agent_turn_left] AgentIsOnSlipperyNorth & AgentCannotSlipNorth & viewAgent>0 -> 1.000000: (viewAgent'=viewAgent-1);
+ [Agent_turn_left] AgentIsOnSlipperyNorth & AgentCannotSlipNorth & viewAgent=0 -> 1.000000: (viewAgent'=3);
+ [Agent_move_East] viewAgent=0 & AgentIsOnSlipperyEast & !AgentCannotSlipEast & !AgentCannotSlipSouthEast & !AgentCannotSlipNorthEast -> 0.950000: (colAgent'=colAgent+1) + 0.025000: (colAgent'=colAgent+1)&(rowAgent'=rowAgent+1) + 0.025000: (colAgent'=colAgent+1)&(rowAgent'=rowAgent-1);
+ [Agent_move_East] viewAgent=0 & AgentIsOnSlipperyEast & AgentCannotSlipEast & !AgentCannotSlipSouthEast & !AgentCannotSlipNorthEast -> 0.000000: (colAgent'=colAgent+1)&(rowAgent'=rowAgent+1) + 0.000000: (colAgent'=colAgent+1)&(rowAgent'=rowAgent-1);
+ [Agent_move_East] viewAgent=0 & AgentIsOnSlipperyEast & !AgentCannotSlipEast & AgentCannotSlipSouthEast & !AgentCannotSlipNorthEast -> 0.950000: (colAgent'=colAgent+1) + 0.050000: (colAgent'=colAgent+1)&(rowAgent'=rowAgent-1);
+ [Agent_move_East] viewAgent=0 & AgentIsOnSlipperyEast & !AgentCannotSlipEast & !AgentCannotSlipSouthEast & AgentCannotSlipNorthEast -> 0.950000: (colAgent'=colAgent+1) + 0.050000: (colAgent'=colAgent+1)&(rowAgent'=rowAgent+1);
+ [Agent_move_East] viewAgent=0 & AgentIsOnSlipperyEast & AgentCannotSlipEast & AgentCannotSlipSouthEast & !AgentCannotSlipNorthEast -> 1.000000: (colAgent'=colAgent+1)&(rowAgent'=rowAgent-1);
+ [Agent_move_East] viewAgent=0 & AgentIsOnSlipperyEast & !AgentCannotSlipEast & AgentCannotSlipSouthEast & AgentCannotSlipNorthEast -> 1.000000: (colAgent'=colAgent+1);
+ [Agent_move_East] viewAgent=0 & AgentIsOnSlipperyEast & AgentCannotSlipEast & !AgentCannotSlipSouthEast & AgentCannotSlipNorthEast -> 1.000000: (colAgent'=colAgent+1)&(rowAgent'=rowAgent+1);
+ [Agent_move_East] viewAgent=0 & AgentIsOnSlipperyEast & AgentCannotSlipEast & AgentCannotSlipSouthEast & AgentCannotSlipNorthEast -> true;
+ [Agent_move_North] viewAgent=3 & AgentIsOnSlipperyEast & !AgentCannotSlipNorth & !AgentCannotSlipNorthEast -> 0.950000: (rowAgent'=rowAgent-1) + 0.050000: (colAgent'=colAgent+1)&(rowAgent'=rowAgent-1);
+ [Agent_move_North] viewAgent=3 & AgentIsOnSlipperyEast & AgentCannotSlipNorth & !AgentCannotSlipNorthEast -> 1.000000: (colAgent'=colAgent+1)&(rowAgent'=rowAgent-1);
+ [Agent_move_North] viewAgent=3 & AgentIsOnSlipperyEast & !AgentCannotSlipNorth & AgentCannotSlipNorthEast -> 1.000000: (rowAgent'=rowAgent-1);
+ [Agent_move_North] viewAgent=3 & AgentIsOnSlipperyEast & AgentCannotSlipNorth & AgentCannotSlipNorthEast -> true;
+ [Agent_move_South] viewAgent=1 & AgentIsOnSlipperyEast & !AgentCannotSlipSouth & !AgentCannotSlipSouthEast -> 0.950000: (rowAgent'=rowAgent+1) + 0.050000: (colAgent'=colAgent+1)&(rowAgent'=rowAgent+1);
+ [Agent_move_South] viewAgent=1 & AgentIsOnSlipperyEast & AgentCannotSlipSouth & !AgentCannotSlipSouthEast -> 1.000000: (colAgent'=colAgent+1)&(rowAgent'=rowAgent+1);
+ [Agent_move_South] viewAgent=1 & AgentIsOnSlipperyEast & !AgentCannotSlipSouth & AgentCannotSlipSouthEast -> 1.000000: (rowAgent'=rowAgent+1);
+ [Agent_move_South] viewAgent=1 & AgentIsOnSlipperyEast & AgentCannotSlipSouth & AgentCannotSlipSouthEast -> true;
+ [Agent_move_West] viewAgent=2 & AgentIsOnSlipperyEast & !AgentCannotSlipEast -> 0.950000: (colAgent'=colAgent+1) + 0.050000: true;
+ [Agent_move_West] viewAgent=2 & AgentIsOnSlipperyEast & AgentCannotSlipEast -> 1.000000: true;
+ [Agent_turn_right] AgentIsOnSlipperyEast & !AgentCannotSlipEast & true -> 0.950000: (viewAgent'=mod(viewAgent+1,4)) + 0.050000: (colAgent'=colAgent+1);
+ [Agent_turn_right] AgentIsOnSlipperyEast & AgentCannotSlipEast & true -> 1.000000: (viewAgent'=mod(viewAgent+1,4));
+ [Agent_turn_left] AgentIsOnSlipperyEast & !AgentCannotSlipEast & viewAgent>0 -> 0.950000: (viewAgent'=viewAgent-1) + 0.050000: (colAgent'=colAgent+1);
+ [Agent_turn_left] AgentIsOnSlipperyEast & !AgentCannotSlipEast & viewAgent=0 -> 0.950000: (viewAgent'=3) + 0.050000: (colAgent'=colAgent+1);
+ [Agent_turn_left] AgentIsOnSlipperyEast & AgentCannotSlipEast & viewAgent>0 -> 1.000000: (viewAgent'=viewAgent-1);
+ [Agent_turn_left] AgentIsOnSlipperyEast & AgentCannotSlipEast & viewAgent=0 -> 1.000000: (viewAgent'=3);
+ [Agent_move_South] viewAgent=1 & AgentIsOnSlipperySouth & !AgentCannotSlipSouth & !AgentCannotSlipSouthEast & !AgentCannotSlipSouthWest -> 0.950000: (rowAgent'=rowAgent+1) + 0.025000: (rowAgent'=rowAgent+1)&(colAgent'=colAgent+1) + 0.025000: (rowAgent'=rowAgent+1)&(colAgent'=colAgent-1);
+ [Agent_move_South] viewAgent=1 & AgentIsOnSlipperySouth & AgentCannotSlipSouth & !AgentCannotSlipSouthEast & !AgentCannotSlipSouthWest -> 0.000000: (rowAgent'=rowAgent+1)&(colAgent'=colAgent+1) + 0.000000: (rowAgent'=rowAgent+1)&(colAgent'=colAgent-1);
+ [Agent_move_South] viewAgent=1 & AgentIsOnSlipperySouth & !AgentCannotSlipSouth & AgentCannotSlipSouthEast & !AgentCannotSlipSouthWest -> 0.950000: (rowAgent'=rowAgent+1) + 0.050000: (rowAgent'=rowAgent+1)&(colAgent'=colAgent-1);
+ [Agent_move_South] viewAgent=1 & AgentIsOnSlipperySouth & !AgentCannotSlipSouth & !AgentCannotSlipSouthEast & AgentCannotSlipSouthWest -> 0.950000: (rowAgent'=rowAgent+1) + 0.050000: (rowAgent'=rowAgent+1)&(colAgent'=colAgent+1);
+ [Agent_move_South] viewAgent=1 & AgentIsOnSlipperySouth & AgentCannotSlipSouth & AgentCannotSlipSouthEast & !AgentCannotSlipSouthWest -> 1.000000: (rowAgent'=rowAgent+1)&(colAgent'=colAgent-1);
+ [Agent_move_South] viewAgent=1 & AgentIsOnSlipperySouth & !AgentCannotSlipSouth & AgentCannotSlipSouthEast & AgentCannotSlipSouthWest -> 1.000000: (rowAgent'=rowAgent+1);
+ [Agent_move_South] viewAgent=1 & AgentIsOnSlipperySouth & AgentCannotSlipSouth & !AgentCannotSlipSouthEast & AgentCannotSlipSouthWest -> 1.000000: (rowAgent'=rowAgent+1)&(colAgent'=colAgent+1);
+ [Agent_move_South] viewAgent=1 & AgentIsOnSlipperySouth & AgentCannotSlipSouth & AgentCannotSlipSouthEast & AgentCannotSlipSouthWest -> true;
+ [Agent_move_West] viewAgent=2 & AgentIsOnSlipperySouth & !AgentCannotSlipWest & !AgentCannotSlipSouthWest -> 0.950000: (colAgent'=colAgent-1) + 0.050000: (colAgent'=colAgent-1)&(rowAgent'=rowAgent+1);
+ [Agent_move_West] viewAgent=2 & AgentIsOnSlipperySouth & AgentCannotSlipWest & !AgentCannotSlipSouthWest -> 1.000000: (colAgent'=colAgent-1)&(rowAgent'=rowAgent+1);
+ [Agent_move_West] viewAgent=2 & AgentIsOnSlipperySouth & !AgentCannotSlipWest & AgentCannotSlipSouthWest -> 1.000000: (colAgent'=colAgent-1);
+ [Agent_move_West] viewAgent=2 & AgentIsOnSlipperySouth & AgentCannotSlipWest & AgentCannotSlipSouthWest -> true;
+ [Agent_move_East] viewAgent=0 & AgentIsOnSlipperySouth & !AgentCannotSlipEast & !AgentCannotSlipSouthEast -> 0.950000: (colAgent'=colAgent+1) + 0.050000: (colAgent'=colAgent+1)&(rowAgent'=rowAgent+1);
+ [Agent_move_East] viewAgent=0 & AgentIsOnSlipperySouth & AgentCannotSlipEast & !AgentCannotSlipSouthEast -> 1.000000: (colAgent'=colAgent+1)&(rowAgent'=rowAgent+1);
+ [Agent_move_East] viewAgent=0 & AgentIsOnSlipperySouth & !AgentCannotSlipEast & AgentCannotSlipSouthEast -> 1.000000: (colAgent'=colAgent+1);
+ [Agent_move_East] viewAgent=0 & AgentIsOnSlipperySouth & AgentCannotSlipEast & AgentCannotSlipSouthEast -> true;
+ [Agent_move_North] viewAgent=3 & AgentIsOnSlipperySouth & !AgentCannotSlipSouth -> 0.950000: (rowAgent'=rowAgent-1) + 0.050000: true;
+ [Agent_move_North] viewAgent=3 & AgentIsOnSlipperySouth & AgentCannotSlipSouth -> 1.000000: true;
+ [Agent_turn_right] AgentIsOnSlipperySouth & !AgentCannotSlipSouth & true -> 0.950000: (viewAgent'=mod(viewAgent+1,4)) + 0.050000: (rowAgent'=rowAgent+1);
+ [Agent_turn_right] AgentIsOnSlipperySouth & AgentCannotSlipSouth & true -> 1.000000: (viewAgent'=mod(viewAgent+1,4));
+ [Agent_turn_left] AgentIsOnSlipperySouth & !AgentCannotSlipSouth & viewAgent>0 -> 0.950000: (viewAgent'=viewAgent-1) + 0.050000: (rowAgent'=rowAgent+1);
+ [Agent_turn_left] AgentIsOnSlipperySouth & !AgentCannotSlipSouth & viewAgent=0 -> 0.950000: (viewAgent'=3) + 0.050000: (rowAgent'=rowAgent+1);
+ [Agent_turn_left] AgentIsOnSlipperySouth & AgentCannotSlipSouth & viewAgent>0 -> 1.000000: (viewAgent'=viewAgent-1);
+ [Agent_turn_left] AgentIsOnSlipperySouth & AgentCannotSlipSouth & viewAgent=0 -> 1.000000: (viewAgent'=3);
+ [Agent_move_West] viewAgent=2 & AgentIsOnSlipperyWest & !AgentCannotSlipWest & !AgentCannotSlipSouthWest & !AgentCannotSlipNorthWest -> 0.950000: (colAgent'=colAgent-1) + 0.025000: (colAgent'=colAgent-1)&(rowAgent'=rowAgent+1) + 0.025000: (colAgent'=colAgent-1)&(rowAgent'=rowAgent-1);
+ [Agent_move_West] viewAgent=2 & AgentIsOnSlipperyWest & AgentCannotSlipWest & !AgentCannotSlipSouthWest & !AgentCannotSlipNorthWest -> 0.000000: (colAgent'=colAgent-1)&(rowAgent'=rowAgent+1) + 0.000000: (colAgent'=colAgent-1)&(rowAgent'=rowAgent-1);
+ [Agent_move_West] viewAgent=2 & AgentIsOnSlipperyWest & !AgentCannotSlipWest & AgentCannotSlipSouthWest & !AgentCannotSlipNorthWest -> 0.950000: (colAgent'=colAgent-1) + 0.050000: (colAgent'=colAgent-1)&(rowAgent'=rowAgent-1);
+ [Agent_move_West] viewAgent=2 & AgentIsOnSlipperyWest & !AgentCannotSlipWest & !AgentCannotSlipSouthWest & AgentCannotSlipNorthWest -> 0.950000: (colAgent'=colAgent-1) + 0.050000: (colAgent'=colAgent-1)&(rowAgent'=rowAgent+1);
+ [Agent_move_West] viewAgent=2 & AgentIsOnSlipperyWest & AgentCannotSlipWest & AgentCannotSlipSouthWest & !AgentCannotSlipNorthWest -> 1.000000: (colAgent'=colAgent-1)&(rowAgent'=rowAgent-1);
+ [Agent_move_West] viewAgent=2 & AgentIsOnSlipperyWest & !AgentCannotSlipWest & AgentCannotSlipSouthWest & AgentCannotSlipNorthWest -> 1.000000: (colAgent'=colAgent-1);
+ [Agent_move_West] viewAgent=2 & AgentIsOnSlipperyWest & AgentCannotSlipWest & !AgentCannotSlipSouthWest & AgentCannotSlipNorthWest -> 1.000000: (colAgent'=colAgent-1)&(rowAgent'=rowAgent+1);
+ [Agent_move_West] viewAgent=2 & AgentIsOnSlipperyWest & AgentCannotSlipWest & AgentCannotSlipSouthWest & AgentCannotSlipNorthWest -> true;
+ [Agent_move_North] viewAgent=3 & AgentIsOnSlipperyWest & !AgentCannotSlipNorth & !AgentCannotSlipNorthWest -> 0.950000: (rowAgent'=rowAgent-1) + 0.050000: (colAgent'=colAgent-1)&(rowAgent'=rowAgent-1);
+ [Agent_move_North] viewAgent=3 & AgentIsOnSlipperyWest & AgentCannotSlipNorth & !AgentCannotSlipNorthWest -> 1.000000: (colAgent'=colAgent-1)&(rowAgent'=rowAgent-1);
+ [Agent_move_North] viewAgent=3 & AgentIsOnSlipperyWest & !AgentCannotSlipNorth & AgentCannotSlipNorthWest -> 1.000000: (rowAgent'=rowAgent-1);
+ [Agent_move_North] viewAgent=3 & AgentIsOnSlipperyWest & AgentCannotSlipNorth & AgentCannotSlipNorthWest -> true;
+ [Agent_move_South] viewAgent=1 & AgentIsOnSlipperyWest & !AgentCannotSlipSouth & !AgentCannotSlipSouthWest -> 0.950000: (rowAgent'=rowAgent+1) + 0.050000: (colAgent'=colAgent-1)&(rowAgent'=rowAgent+1);
+ [Agent_move_South] viewAgent=1 & AgentIsOnSlipperyWest & AgentCannotSlipSouth & !AgentCannotSlipSouthWest -> 1.000000: (colAgent'=colAgent-1)&(rowAgent'=rowAgent+1);
+ [Agent_move_South] viewAgent=1 & AgentIsOnSlipperyWest & !AgentCannotSlipSouth & AgentCannotSlipSouthWest -> 1.000000: (rowAgent'=rowAgent+1);
+ [Agent_move_South] viewAgent=1 & AgentIsOnSlipperyWest & AgentCannotSlipSouth & AgentCannotSlipSouthWest -> true;
+ [Agent_move_East] viewAgent=0 & AgentIsOnSlipperyWest & !AgentCannotSlipWest -> 0.950000: (colAgent'=colAgent-1) + 0.050000: true;
+ [Agent_move_East] viewAgent=0 & AgentIsOnSlipperyWest & AgentCannotSlipWest -> 1.000000: true;
+ [Agent_turn_right] AgentIsOnSlipperyWest & !AgentCannotSlipWest & true -> 0.950000: (viewAgent'=mod(viewAgent+1,4)) + 0.050000: (colAgent'=colAgent-1);
+ [Agent_turn_right] AgentIsOnSlipperyWest & AgentCannotSlipWest & true -> 1.000000: (viewAgent'=mod(viewAgent+1,4));
+ [Agent_turn_left] AgentIsOnSlipperyWest & !AgentCannotSlipWest & viewAgent>0 -> 0.950000: (viewAgent'=viewAgent-1) + 0.050000: (colAgent'=colAgent-1);
+ [Agent_turn_left] AgentIsOnSlipperyWest & !AgentCannotSlipWest & viewAgent=0 -> 0.950000: (viewAgent'=3) + 0.050000: (colAgent'=colAgent-1);
+ [Agent_turn_left] AgentIsOnSlipperyWest & AgentCannotSlipWest & viewAgent>0 -> 1.000000: (viewAgent'=viewAgent-1);
+ [Agent_turn_left] AgentIsOnSlipperyWest & AgentCannotSlipWest & viewAgent=0 -> 1.000000: (viewAgent'=3);
+ [Agent_move_East] viewAgent=0 & AgentIsOnSlipperyNorthEast & !AgentCannotSlipNorthEast & !AgentCannotSlipEast -> 0.950000: (colAgent'=colAgent+1) + 0.050000: (rowAgent'=rowAgent-1)&(colAgent'=colAgent+1);
+ [Agent_move_East] viewAgent=0 & AgentIsOnSlipperyNorthEast & !AgentCannotSlipNorthEast & AgentCannotSlipEast -> 1.000000: (rowAgent'=rowAgent-1)&(colAgent'=colAgent+1);
+ [Agent_move_East] viewAgent=0 & AgentIsOnSlipperyNorthEast & AgentCannotSlipNorthEast & !AgentCannotSlipEast -> 1.000000: (colAgent'=colAgent+1);
+ [Agent_move_East] viewAgent=0 & AgentIsOnSlipperyNorthEast & AgentCannotSlipNorthEast & AgentCannotSlipEast -> 1.000000: true;
+ [Agent_move_North] viewAgent=3 & AgentIsOnSlipperyNorthEast & !AgentCannotSlipNorthEast & !AgentCannotSlipNorth -> 0.950000: (rowAgent'=rowAgent-1) + 0.050000: (colAgent'=colAgent+1)&(rowAgent'=rowAgent-1);
+ [Agent_move_North] viewAgent=3 & AgentIsOnSlipperyNorthEast & !AgentCannotSlipNorthEast & AgentCannotSlipNorth -> 1.000000: (rowAgent'=rowAgent-1)&(colAgent'=colAgent+1);
+ [Agent_move_North] viewAgent=3 & AgentIsOnSlipperyNorthEast & AgentCannotSlipNorthEast & !AgentCannotSlipNorth -> 1.000000: (rowAgent'=rowAgent-1);
+ [Agent_move_North] viewAgent=3 & AgentIsOnSlipperyNorthEast & AgentCannotSlipNorthEast & AgentCannotSlipNorth -> 1.000000: true;
+ [Agent_move_South] viewAgent=1 & AgentIsOnSlipperyNorthEast & !AgentCannotSlipNorthEast & !AgentCannotSlipEast & !AgentCannotSlipSouthEast & !AgentCannotSlipSouth -> 0.950000: (rowAgent'=rowAgent+1) + 0.016667: (rowAgent'=rowAgent-1)&(colAgent'=colAgent+1) + 0.016667: (colAgent'=colAgent+1) + 0.016667: (rowAgent'=rowAgent+1)&(colAgent'=colAgent+1);
+ [Agent_move_South] viewAgent=1 & AgentIsOnSlipperyNorthEast & !AgentCannotSlipNorthEast & !AgentCannotSlipEast & !AgentCannotSlipSouthEast & AgentCannotSlipSouth -> 0.333333: (rowAgent'=rowAgent-1)&(colAgent'=colAgent+1) + 0.333333: (colAgent'=colAgent+1) + 0.333333: (rowAgent'=rowAgent+1)&(colAgent'=colAgent+1);
+ [Agent_move_South] viewAgent=1 & AgentIsOnSlipperyNorthEast & !AgentCannotSlipNorthEast & !AgentCannotSlipEast & AgentCannotSlipSouthEast & !AgentCannotSlipSouth -> 0.982759: (rowAgent'=rowAgent+1) + 0.050847: (rowAgent'=rowAgent-1)&(colAgent'=colAgent+1) + 0.050847: (colAgent'=colAgent+1);
+ [Agent_move_South] viewAgent=1 & AgentIsOnSlipperyNorthEast & !AgentCannotSlipNorthEast & !AgentCannotSlipEast & AgentCannotSlipSouthEast & AgentCannotSlipSouth -> 0.500000: (rowAgent'=rowAgent-1)&(colAgent'=colAgent+1) + 0.500000: (colAgent'=colAgent+1);
+ [Agent_move_South] viewAgent=1 & AgentIsOnSlipperyNorthEast & !AgentCannotSlipNorthEast & AgentCannotSlipEast & !AgentCannotSlipSouthEast & !AgentCannotSlipSouth -> 0.982759: (rowAgent'=rowAgent+1) + 0.050847: (rowAgent'=rowAgent-1)&(colAgent'=colAgent+1) + 0.050847: (rowAgent'=rowAgent+1)&(colAgent'=colAgent+1);
+ [Agent_move_South] viewAgent=1 & AgentIsOnSlipperyNorthEast & !AgentCannotSlipNorthEast & AgentCannotSlipEast & !AgentCannotSlipSouthEast & AgentCannotSlipSouth -> 0.500000: (rowAgent'=rowAgent-1)&(colAgent'=colAgent+1) + 0.500000: (rowAgent'=rowAgent+1)&(colAgent'=colAgent+1);
+ [Agent_move_South] viewAgent=1 & AgentIsOnSlipperyNorthEast & !AgentCannotSlipNorthEast & AgentCannotSlipEast & AgentCannotSlipSouthEast & !AgentCannotSlipSouth -> 0.982759: (rowAgent'=rowAgent+1) + 0.051724: (rowAgent'=rowAgent-1)&(colAgent'=colAgent+1);
+ [Agent_move_South] viewAgent=1 & AgentIsOnSlipperyNorthEast & !AgentCannotSlipNorthEast & AgentCannotSlipEast & AgentCannotSlipSouthEast & AgentCannotSlipSouth -> 1.000000: (rowAgent'=rowAgent-1)&(colAgent'=colAgent+1);
+ [Agent_move_South] viewAgent=1 & AgentIsOnSlipperyNorthEast & AgentCannotSlipNorthEast & !AgentCannotSlipEast & !AgentCannotSlipSouthEast & !AgentCannotSlipSouth -> 0.982759: (rowAgent'=rowAgent+1) + 0.050847: (colAgent'=colAgent+1) + 0.050847: (rowAgent'=rowAgent+1)&(colAgent'=colAgent+1);
+ [Agent_move_South] viewAgent=1 & AgentIsOnSlipperyNorthEast & AgentCannotSlipNorthEast & !AgentCannotSlipEast & !AgentCannotSlipSouthEast & AgentCannotSlipSouth -> 0.500000: (colAgent'=colAgent+1) + 0.500000: (rowAgent'=rowAgent+1)&(colAgent'=colAgent+1);
+ [Agent_move_South] viewAgent=1 & AgentIsOnSlipperyNorthEast & AgentCannotSlipNorthEast & !AgentCannotSlipEast & AgentCannotSlipSouthEast & !AgentCannotSlipSouth -> 0.982759: (rowAgent'=rowAgent+1) + 0.051724: (colAgent'=colAgent+1);
+ [Agent_move_South] viewAgent=1 & AgentIsOnSlipperyNorthEast & AgentCannotSlipNorthEast & !AgentCannotSlipEast & AgentCannotSlipSouthEast & AgentCannotSlipSouth -> 1.000000: (colAgent'=colAgent+1);
+ [Agent_move_South] viewAgent=1 & AgentIsOnSlipperyNorthEast & AgentCannotSlipNorthEast & AgentCannotSlipEast & !AgentCannotSlipSouthEast & !AgentCannotSlipSouth -> 0.982759: (rowAgent'=rowAgent+1) + 0.051724: (rowAgent'=rowAgent+1)&(colAgent'=colAgent+1);
+ [Agent_move_South] viewAgent=1 & AgentIsOnSlipperyNorthEast & AgentCannotSlipNorthEast & AgentCannotSlipEast & !AgentCannotSlipSouthEast & AgentCannotSlipSouth -> 1.000000: (rowAgent'=rowAgent+1)&(colAgent'=colAgent+1);
+ [Agent_move_South] viewAgent=1 & AgentIsOnSlipperyNorthEast & AgentCannotSlipNorthEast & AgentCannotSlipEast & AgentCannotSlipSouthEast & !AgentCannotSlipSouth -> 1.000000: (rowAgent'=rowAgent+1);
+ [Agent_move_South] viewAgent=1 & AgentIsOnSlipperyNorthEast & AgentCannotSlipNorthEast & AgentCannotSlipEast & AgentCannotSlipSouthEast & AgentCannotSlipSouth -> 1.000000: true;
+ [Agent_move_West] viewAgent=2 & AgentIsOnSlipperyNorthEast & !AgentCannotSlipWest & !AgentCannotSlipNorthWest & !AgentCannotSlipNorth & !AgentCannotSlipNorthEast -> 0.950000: (colAgent'=colAgent-1) + 0.016667: (rowAgent'=rowAgent-1)&(colAgent'=colAgent-1) + 0.016667: (rowAgent'=rowAgent-1) + 0.016667: (rowAgent'=rowAgent-1)&(colAgent'=colAgent+1);
+ [Agent_move_West] viewAgent=2 & AgentIsOnSlipperyNorthEast & !AgentCannotSlipWest & !AgentCannotSlipNorthWest & !AgentCannotSlipNorth & AgentCannotSlipNorthEast -> 0.966102: (colAgent'=colAgent-1) + 0.050847: (rowAgent'=rowAgent-1)&(colAgent'=colAgent-1) + 0.050847: (rowAgent'=rowAgent-1);
+ [Agent_move_West] viewAgent=2 & AgentIsOnSlipperyNorthEast & !AgentCannotSlipWest & !AgentCannotSlipNorthWest & AgentCannotSlipNorth & !AgentCannotSlipNorthEast -> 0.966102: (colAgent'=colAgent-1) + 0.050847: (rowAgent'=rowAgent-1)&(colAgent'=colAgent-1) + 0.050847: (rowAgent'=rowAgent-1)&(colAgent'=colAgent+1);
+ [Agent_move_West] viewAgent=2 & AgentIsOnSlipperyNorthEast & !AgentCannotSlipWest & !AgentCannotSlipNorthWest & AgentCannotSlipNorth & AgentCannotSlipNorthEast -> 0.982759: (colAgent'=colAgent-1) + 0.051724: (rowAgent'=rowAgent-1)&(colAgent'=colAgent-1);
+ [Agent_move_West] viewAgent=2 & AgentIsOnSlipperyNorthEast & !AgentCannotSlipWest & AgentCannotSlipNorthWest & !AgentCannotSlipNorth & !AgentCannotSlipNorthEast -> 0.966102: (colAgent'=colAgent-1) + 0.050847: (rowAgent'=rowAgent-1) + 0.050847: (rowAgent'=rowAgent-1)&(colAgent'=colAgent+1);
+ [Agent_move_West] viewAgent=2 & AgentIsOnSlipperyNorthEast & !AgentCannotSlipWest & AgentCannotSlipNorthWest & !AgentCannotSlipNorth & AgentCannotSlipNorthEast -> 0.982759: (colAgent'=colAgent-1) + 0.051724: (rowAgent'=rowAgent-1);
+ [Agent_move_West] viewAgent=2 & AgentIsOnSlipperyNorthEast & !AgentCannotSlipWest & AgentCannotSlipNorthWest & AgentCannotSlipNorth & !AgentCannotSlipNorthEast -> 0.982759: (colAgent'=colAgent-1) + 0.051724: (rowAgent'=rowAgent-1)&(colAgent'=colAgent+1);
+ [Agent_move_West] viewAgent=2 & AgentIsOnSlipperyNorthEast & !AgentCannotSlipWest & AgentCannotSlipNorthWest & AgentCannotSlipNorth & AgentCannotSlipNorthEast -> 1.000000: (colAgent'=colAgent-1);
+ [Agent_move_West] viewAgent=2 & AgentIsOnSlipperyNorthEast & AgentCannotSlipWest & !AgentCannotSlipNorthWest & !AgentCannotSlipNorth & !AgentCannotSlipNorthEast -> 0.333333: (rowAgent'=rowAgent-1)&(colAgent'=colAgent-1) + 0.333333: (rowAgent'=rowAgent-1) + 0.333333: (rowAgent'=rowAgent-1)&(colAgent'=colAgent+1);
+ [Agent_move_West] viewAgent=2 & AgentIsOnSlipperyNorthEast & AgentCannotSlipWest & !AgentCannotSlipNorthWest & !AgentCannotSlipNorth & AgentCannotSlipNorthEast -> 0.500000: (rowAgent'=rowAgent-1)&(colAgent'=colAgent-1) + 0.500000: (rowAgent'=rowAgent-1);
+ [Agent_move_West] viewAgent=2 & AgentIsOnSlipperyNorthEast & AgentCannotSlipWest & !AgentCannotSlipNorthWest & AgentCannotSlipNorth & !AgentCannotSlipNorthEast -> 0.500000: (rowAgent'=rowAgent-1)&(colAgent'=colAgent-1) + 0.500000: (rowAgent'=rowAgent-1)&(colAgent'=colAgent+1);
+ [Agent_move_West] viewAgent=2 & AgentIsOnSlipperyNorthEast & AgentCannotSlipWest & !AgentCannotSlipNorthWest & AgentCannotSlipNorth & AgentCannotSlipNorthEast -> 1.000000: (rowAgent'=rowAgent-1)&(colAgent'=colAgent-1);
+ [Agent_move_West] viewAgent=2 & AgentIsOnSlipperyNorthEast & AgentCannotSlipWest & AgentCannotSlipNorthWest & !AgentCannotSlipNorth & !AgentCannotSlipNorthEast -> 0.500000: (rowAgent'=rowAgent-1) + 0.500000: (rowAgent'=rowAgent-1)&(colAgent'=colAgent+1);
+ [Agent_move_West] viewAgent=2 & AgentIsOnSlipperyNorthEast & AgentCannotSlipWest & AgentCannotSlipNorthWest & !AgentCannotSlipNorth & AgentCannotSlipNorthEast -> 1.000000: (rowAgent'=rowAgent-1);
+ [Agent_move_West] viewAgent=2 & AgentIsOnSlipperyNorthEast & AgentCannotSlipWest & AgentCannotSlipNorthWest & AgentCannotSlipNorth & !AgentCannotSlipNorthEast -> 1.000000: (rowAgent'=rowAgent-1)&(colAgent'=colAgent+1);
+ [Agent_move_West] viewAgent=2 & AgentIsOnSlipperyNorthEast & AgentCannotSlipWest & AgentCannotSlipNorthWest & AgentCannotSlipNorth & AgentCannotSlipNorthEast -> 1.000000: true;
+ [Agent_turn_right] AgentIsOnSlipperyNorthEast & true & true -> 1.000000: (viewAgent'=mod(viewAgent+1,4));
+ [Agent_turn_left] AgentIsOnSlipperyNorthEast & true & viewAgent>0 -> 1.000000: (viewAgent'=viewAgent-1);
+ [Agent_turn_left] AgentIsOnSlipperyNorthEast & true & viewAgent=0 -> 1.000000: (viewAgent'=3);
+endmodule
+
diff --git a/notebooks/shielding_files_20241129T122456_wtrsvp2x/grid.txt b/notebooks/shielding_files_20241129T122456_wtrsvp2x/grid.txt
new file mode 100644
index 0000000..1c288ab
--- /dev/null
+++ b/notebooks/shielding_files_20241129T122456_wtrsvp2x/grid.txt
@@ -0,0 +1,49 @@
+WGWGWGWGWGWGWGWGWGWGWGWGWGWGWGWGWGWGWGWGWGWGWGWGWGWGWG
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+------------------------------------------------------
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+WGWGWGWGWGWGWGWGWGWGWGWGWGWGWGWGWGWGWGWGWGWGWGWGWGWGWG
+------------------------------------------------------
+------------------------------------------------------
+ProbTurnIntended:0.95
+ProbForwardIntended:0.95
diff --git a/notebooks/shielding_files_20241129T122456_wtrsvp2x/shield b/notebooks/shielding_files_20241129T122456_wtrsvp2x/shield
new file mode 100644
index 0000000..4c411ff
--- /dev/null
+++ b/notebooks/shielding_files_20241129T122456_wtrsvp2x/shield
@@ -0,0 +1,1580 @@
+___________________________________________________________________
+Pre-Safety-Shield with absolute comparison (gamma = 0.950000):
+ model state: choice(s) [<value>: (<action {action label})>]:
+ 0: [colAgent=1 & rowAgent=1 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1: [colAgent=2 & rowAgent=1 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 2: [colAgent=3 & rowAgent=1 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 3: [colAgent=4 & rowAgent=1 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 4: [colAgent=5 & rowAgent=1 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 5: [colAgent=6 & rowAgent=1 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 6: [colAgent=7 & rowAgent=1 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 7: [colAgent=8 & rowAgent=1 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 8: [colAgent=9 & rowAgent=1 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 9: [colAgent=10 & rowAgent=1 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 10: [colAgent=11 & rowAgent=1 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 11: [colAgent=12 & rowAgent=1 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 12: [colAgent=13 & rowAgent=1 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 13: [colAgent=14 & rowAgent=1 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 14: [colAgent=15 & rowAgent=1 & viewAgent=0] 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 19: [colAgent=20 & rowAgent=1 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 20: [colAgent=21 & rowAgent=1 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 21: [colAgent=22 & rowAgent=1 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 22: [colAgent=23 & rowAgent=1 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 23: [colAgent=24 & rowAgent=1 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 24: [colAgent=25 & rowAgent=1 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 25: [colAgent=2 & rowAgent=2 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 26: [colAgent=3 & rowAgent=2 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 27: [colAgent=4 & rowAgent=2 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 28: [colAgent=5 & rowAgent=2 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 29: [colAgent=6 & rowAgent=2 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 30: [colAgent=7 & rowAgent=2 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 31: [colAgent=8 & rowAgent=2 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 32: [colAgent=9 & rowAgent=2 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 33: [colAgent=10 & rowAgent=2 & viewAgent=0] 0.975: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 34: [colAgent=11 & rowAgent=2 & viewAgent=0] 0.975: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 35: [colAgent=12 & rowAgent=2 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 36: [colAgent=13 & rowAgent=2 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 37: [colAgent=14 & rowAgent=2 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 38: [colAgent=15 & rowAgent=2 & viewAgent=0] 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 43: [colAgent=20 & rowAgent=2 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 44: [colAgent=21 & rowAgent=2 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 45: [colAgent=22 & rowAgent=2 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 46: [colAgent=23 & rowAgent=2 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 47: [colAgent=24 & rowAgent=2 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 48: [colAgent=25 & rowAgent=2 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 49: [colAgent=2 & rowAgent=3 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 50: [colAgent=3 & rowAgent=3 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 51: [colAgent=4 & rowAgent=3 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 52: [colAgent=5 & rowAgent=3 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 53: [colAgent=6 & rowAgent=3 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 54: [colAgent=7 & rowAgent=3 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 55: [colAgent=8 & rowAgent=3 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 56: [colAgent=9 & rowAgent=3 & viewAgent=0] 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 60: [colAgent=13 & rowAgent=3 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 61: [colAgent=14 & rowAgent=3 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 62: [colAgent=15 & rowAgent=3 & viewAgent=0] 0.95: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 63: [colAgent=16 & rowAgent=3 & viewAgent=0] 0.975: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 64: [colAgent=17 & rowAgent=3 & viewAgent=0] 0.975: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 65: [colAgent=18 & rowAgent=3 & viewAgent=0] 0.975: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 66: [colAgent=19 & rowAgent=3 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 67: [colAgent=20 & rowAgent=3 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 68: [colAgent=21 & rowAgent=3 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 69: [colAgent=22 & rowAgent=3 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 70: [colAgent=23 & rowAgent=3 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 71: [colAgent=24 & rowAgent=3 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 72: [colAgent=25 & rowAgent=3 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 73: [colAgent=2 & rowAgent=4 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 74: [colAgent=3 & rowAgent=4 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 75: [colAgent=4 & rowAgent=4 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 76: [colAgent=5 & rowAgent=4 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 77: [colAgent=6 & rowAgent=4 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 78: [colAgent=7 & rowAgent=4 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 79: [colAgent=8 & rowAgent=4 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 80: [colAgent=9 & rowAgent=4 & viewAgent=0] 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 84: [colAgent=13 & rowAgent=4 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 85: [colAgent=14 & rowAgent=4 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 86: [colAgent=15 & rowAgent=4 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 87: [colAgent=16 & rowAgent=4 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 88: [colAgent=17 & rowAgent=4 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 89: [colAgent=18 & rowAgent=4 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 90: [colAgent=19 & rowAgent=4 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 91: [colAgent=20 & rowAgent=4 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 92: [colAgent=21 & rowAgent=4 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 93: [colAgent=22 & rowAgent=4 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 94: [colAgent=23 & rowAgent=4 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 95: [colAgent=24 & rowAgent=4 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 96: [colAgent=25 & rowAgent=4 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 97: [colAgent=2 & rowAgent=5 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 98: [colAgent=3 & rowAgent=5 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 99: [colAgent=4 & rowAgent=5 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 100: [colAgent=5 & rowAgent=5 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 101: [colAgent=6 & rowAgent=5 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 102: [colAgent=7 & rowAgent=5 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 103: [colAgent=8 & rowAgent=5 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 104: [colAgent=9 & rowAgent=5 & viewAgent=0] 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 108: [colAgent=13 & rowAgent=5 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 109: [colAgent=14 & rowAgent=5 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 110: [colAgent=15 & rowAgent=5 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 111: [colAgent=16 & rowAgent=5 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 112: [colAgent=17 & rowAgent=5 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 113: [colAgent=18 & rowAgent=5 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 114: [colAgent=19 & rowAgent=5 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
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+ 1844: [colAgent=21 & rowAgent=20 & viewAgent=3] 1: (0 {Agent_move_North}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1845: [colAgent=22 & rowAgent=20 & viewAgent=3] 1: (0 {Agent_move_North}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1846: [colAgent=23 & rowAgent=20 & viewAgent=3] 1: (0 {Agent_move_North}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1847: [colAgent=24 & rowAgent=20 & viewAgent=3] 1: (0 {Agent_move_North}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1848: [colAgent=25 & rowAgent=20 & viewAgent=3] 1: (0 {Agent_move_North}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1849: [colAgent=1 & rowAgent=1 & viewAgent=1] 1: (0 {Agent_move_South}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1850: [colAgent=1 & rowAgent=1 & viewAgent=3] 1: (0 {Agent_move_North}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1851: [colAgent=2 & rowAgent=1 & viewAgent=1] 1: (0 {Agent_move_South}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1852: [colAgent=2 & rowAgent=1 & viewAgent=3] 1: (0 {Agent_move_North}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1853: [colAgent=3 & rowAgent=1 & viewAgent=1] 1: (0 {Agent_move_South}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1854: [colAgent=3 & rowAgent=1 & viewAgent=3] 1: (0 {Agent_move_North}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1855: [colAgent=4 & rowAgent=1 & viewAgent=1] 1: (0 {Agent_move_South}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1856: [colAgent=4 & rowAgent=1 & viewAgent=3] 1: (0 {Agent_move_North}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1857: [colAgent=5 & rowAgent=1 & viewAgent=1] 1: (0 {Agent_move_South}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1858: [colAgent=5 & rowAgent=1 & viewAgent=3] 1: (0 {Agent_move_North}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1859: [colAgent=6 & rowAgent=1 & viewAgent=1] 1: (0 {Agent_move_South}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1860: [colAgent=6 & rowAgent=1 & viewAgent=3] 1: (0 {Agent_move_North}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1861: [colAgent=7 & rowAgent=1 & viewAgent=1] 1: (0 {Agent_move_South}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1862: [colAgent=7 & rowAgent=1 & viewAgent=3] 1: (0 {Agent_move_North}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1863: [colAgent=8 & rowAgent=1 & viewAgent=1] 1: (0 {Agent_move_South}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1864: [colAgent=8 & rowAgent=1 & viewAgent=3] 1: (0 {Agent_move_North}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1865: [colAgent=9 & rowAgent=1 & viewAgent=1] 1: (0 {Agent_move_South}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1866: [colAgent=9 & rowAgent=1 & viewAgent=3] 1: (0 {Agent_move_North}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1867: [colAgent=10 & rowAgent=1 & viewAgent=1] 1: (0 {Agent_move_South}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1868: [colAgent=10 & rowAgent=1 & viewAgent=3] 1: (0 {Agent_move_North}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1869: [colAgent=11 & rowAgent=1 & viewAgent=1] 1: (0 {Agent_move_South}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1870: [colAgent=11 & rowAgent=1 & viewAgent=3] 1: (0 {Agent_move_North}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1871: [colAgent=12 & rowAgent=1 & viewAgent=1] 1: (0 {Agent_move_South}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1872: [colAgent=12 & rowAgent=1 & viewAgent=3] 1: (0 {Agent_move_North}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1873: [colAgent=13 & rowAgent=1 & viewAgent=1] 1: (0 {Agent_move_South}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1874: [colAgent=13 & rowAgent=1 & viewAgent=3] 1: (0 {Agent_move_North}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1875: [colAgent=14 & rowAgent=1 & viewAgent=1] 1: (0 {Agent_move_South}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1876: [colAgent=14 & rowAgent=1 & viewAgent=3] 1: (0 {Agent_move_North}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1877: [colAgent=15 & rowAgent=1 & viewAgent=1] 1: (0 {Agent_move_South}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1878: [colAgent=15 & rowAgent=1 & viewAgent=3] 1: (0 {Agent_move_North}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1879: [colAgent=20 & rowAgent=1 & viewAgent=1] 1: (0 {Agent_move_South}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1880: [colAgent=20 & rowAgent=1 & viewAgent=3] 1: (0 {Agent_move_North}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1881: [colAgent=21 & rowAgent=1 & viewAgent=1] 1: (0 {Agent_move_South}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1882: [colAgent=21 & rowAgent=1 & viewAgent=3] 1: (0 {Agent_move_North}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1883: [colAgent=22 & rowAgent=1 & viewAgent=1] 1: (0 {Agent_move_South}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1884: [colAgent=22 & rowAgent=1 & viewAgent=3] 1: (0 {Agent_move_North}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1885: [colAgent=23 & rowAgent=1 & viewAgent=1] 1: (0 {Agent_move_South}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1886: [colAgent=23 & rowAgent=1 & viewAgent=3] 1: (0 {Agent_move_North}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1887: [colAgent=24 & rowAgent=1 & viewAgent=1] 1: (0 {Agent_move_South}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1888: [colAgent=24 & rowAgent=1 & viewAgent=3] 1: (0 {Agent_move_North}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1889: [colAgent=25 & rowAgent=1 & viewAgent=1] 1: (0 {Agent_move_South}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1890: [colAgent=25 & rowAgent=1 & viewAgent=3] 1: (0 {Agent_move_North}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1891: [colAgent=1 & rowAgent=2 & viewAgent=2] 1: (0 {Agent_move_West}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1892: [colAgent=1 & rowAgent=1 & viewAgent=2] 1: (0 {Agent_move_West}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1893: [colAgent=2 & rowAgent=1 & viewAgent=2] 1: (0 {Agent_move_West}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1894: [colAgent=3 & rowAgent=1 & viewAgent=2] 1: (0 {Agent_move_West}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1895: [colAgent=4 & rowAgent=1 & viewAgent=2] 1: (0 {Agent_move_West}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1896: [colAgent=5 & rowAgent=1 & viewAgent=2] 1: (0 {Agent_move_West}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1897: [colAgent=6 & rowAgent=1 & viewAgent=2] 1: (0 {Agent_move_West}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1898: [colAgent=7 & rowAgent=1 & viewAgent=2] 1: (0 {Agent_move_West}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1899: [colAgent=8 & rowAgent=1 & viewAgent=2] 1: (0 {Agent_move_West}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1900: [colAgent=9 & rowAgent=1 & viewAgent=2] 1: (0 {Agent_move_West}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1901: [colAgent=10 & rowAgent=1 & viewAgent=2] 1: (0 {Agent_move_West}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1902: [colAgent=12 & rowAgent=1 & viewAgent=2] 1: (0 {Agent_move_West}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1903: [colAgent=13 & rowAgent=1 & viewAgent=2] 1: (0 {Agent_move_West}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1904: [colAgent=14 & rowAgent=1 & viewAgent=2] 1: (0 {Agent_move_West}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1905: [colAgent=15 & rowAgent=1 & viewAgent=2] 1: (0 {Agent_move_West}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1907: [colAgent=20 & rowAgent=1 & viewAgent=2] 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1908: [colAgent=21 & rowAgent=1 & viewAgent=2] 1: (0 {Agent_move_West}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1909: [colAgent=22 & rowAgent=1 & viewAgent=2] 1: (0 {Agent_move_West}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1910: [colAgent=23 & rowAgent=1 & viewAgent=2] 1: (0 {Agent_move_West}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1911: [colAgent=24 & rowAgent=1 & viewAgent=2] 1: (0 {Agent_move_West}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1912: [colAgent=25 & rowAgent=1 & viewAgent=2] 1: (0 {Agent_move_West}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1913: [colAgent=1 & rowAgent=3 & viewAgent=2] 1: (0 {Agent_move_West}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1914: [colAgent=1 & rowAgent=4 & viewAgent=2] 1: (0 {Agent_move_West}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1915: [colAgent=1 & rowAgent=5 & viewAgent=2] 1: (0 {Agent_move_West}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1916: [colAgent=1 & rowAgent=6 & viewAgent=2] 1: (0 {Agent_move_West}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1917: [colAgent=1 & rowAgent=11 & viewAgent=2] 1: (0 {Agent_move_West}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1918: [colAgent=1 & rowAgent=10 & viewAgent=2] 1: (0 {Agent_move_West}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1919: [colAgent=1 & rowAgent=12 & viewAgent=2] 1: (0 {Agent_move_West}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1920: [colAgent=1 & rowAgent=13 & viewAgent=2] 1: (0 {Agent_move_West}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1921: [colAgent=1 & rowAgent=14 & viewAgent=2] 1: (0 {Agent_move_West}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1922: [colAgent=1 & rowAgent=15 & viewAgent=2] 1: (0 {Agent_move_West}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1923: [colAgent=1 & rowAgent=16 & viewAgent=2] 1: (0 {Agent_move_West}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1926: [colAgent=1 & rowAgent=2 & viewAgent=1] 1: (0 {Agent_move_South}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1927: [colAgent=11 & rowAgent=1 & viewAgent=2] 1: (0 {Agent_move_West}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1928: [colAgent=1 & rowAgent=2 & viewAgent=3] 1: (0 {Agent_move_North}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1929: [colAgent=1 & rowAgent=3 & viewAgent=3] 1: (0 {Agent_move_North}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1930: [colAgent=1 & rowAgent=3 & viewAgent=1] 1: (0 {Agent_move_South}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1931: [colAgent=1 & rowAgent=4 & viewAgent=3] 1: (0 {Agent_move_North}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1932: [colAgent=1 & rowAgent=4 & viewAgent=1] 1: (0 {Agent_move_South}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1933: [colAgent=1 & rowAgent=5 & viewAgent=3] 1: (0 {Agent_move_North}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1934: [colAgent=1 & rowAgent=5 & viewAgent=1] 1: (0 {Agent_move_South}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1935: [colAgent=1 & rowAgent=6 & viewAgent=3] 1: (0 {Agent_move_North}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1936: [colAgent=1 & rowAgent=6 & viewAgent=1] 1: (0 {Agent_move_South}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1937: [colAgent=1 & rowAgent=11 & viewAgent=3] 1: (0 {Agent_move_North}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1938: [colAgent=1 & rowAgent=11 & viewAgent=1] 1: (0 {Agent_move_South}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1939: [colAgent=1 & rowAgent=10 & viewAgent=3] 1: (0 {Agent_move_North}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1940: [colAgent=1 & rowAgent=10 & viewAgent=1] 1: (0 {Agent_move_South}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1941: [colAgent=1 & rowAgent=12 & viewAgent=3] 1: (0 {Agent_move_North}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1942: [colAgent=1 & rowAgent=12 & viewAgent=1] 1: (0 {Agent_move_South}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1943: [colAgent=1 & rowAgent=13 & viewAgent=3] 1: (0 {Agent_move_North}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1944: [colAgent=1 & rowAgent=13 & viewAgent=1] 1: (0 {Agent_move_South}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1945: [colAgent=1 & rowAgent=14 & viewAgent=3] 1: (0 {Agent_move_North}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1946: [colAgent=1 & rowAgent=14 & viewAgent=1] 1: (0 {Agent_move_South}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1947: [colAgent=1 & rowAgent=15 & viewAgent=3] 1: (0 {Agent_move_North}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1948: [colAgent=1 & rowAgent=15 & viewAgent=1] 1: (0 {Agent_move_South}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1949: [colAgent=1 & rowAgent=16 & viewAgent=3] 1: (0 {Agent_move_North}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1950: [colAgent=1 & rowAgent=16 & viewAgent=1] 1: (0 {Agent_move_South}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1951: [colAgent=1 & rowAgent=2 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1952: [colAgent=1 & rowAgent=3 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1953: [colAgent=1 & rowAgent=4 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1954: [colAgent=1 & rowAgent=5 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1955: [colAgent=1 & rowAgent=6 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1956: [colAgent=1 & rowAgent=7 & viewAgent=1] 1: (0 {Agent_move_South}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1957: [colAgent=1 & rowAgent=11 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1958: [colAgent=1 & rowAgent=9 & viewAgent=3] 1: (0 {Agent_move_North}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1959: [colAgent=1 & rowAgent=10 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1960: [colAgent=1 & rowAgent=12 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1961: [colAgent=1 & rowAgent=13 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1962: [colAgent=1 & rowAgent=14 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1963: [colAgent=1 & rowAgent=15 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1964: [colAgent=1 & rowAgent=16 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1965: [colAgent=1 & rowAgent=17 & viewAgent=1] 1: (0 {Agent_move_South}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1966: [colAgent=1 & rowAgent=8 & viewAgent=1] 1: (0 {Agent_move_South}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1967: [colAgent=1 & rowAgent=7 & viewAgent=2] 1: (0 {Agent_move_West}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1968: [colAgent=1 & rowAgent=7 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1969: [colAgent=1 & rowAgent=8 & viewAgent=3] 1: (0 {Agent_move_North}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1970: [colAgent=1 & rowAgent=9 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1971: [colAgent=1 & rowAgent=9 & viewAgent=2] 1: (0 {Agent_move_West}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1972: [colAgent=1 & rowAgent=18 & viewAgent=1] 1: (0 {Agent_move_South}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1973: [colAgent=1 & rowAgent=17 & viewAgent=2] 1: (0 {Agent_move_West}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1974: [colAgent=1 & rowAgent=17 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1975: [colAgent=1 & rowAgent=9 & viewAgent=1] 1: (0 {Agent_move_South}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1976: [colAgent=1 & rowAgent=8 & viewAgent=2] 1: (0 {Agent_move_West}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1977: [colAgent=1 & rowAgent=8 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1978: [colAgent=1 & rowAgent=7 & viewAgent=3] 1: (0 {Agent_move_North}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1979: [colAgent=1 & rowAgent=19 & viewAgent=1] 1: (0 {Agent_move_South}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1980: [colAgent=1 & rowAgent=18 & viewAgent=2] 1: (0 {Agent_move_West}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1981: [colAgent=1 & rowAgent=18 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1982: [colAgent=1 & rowAgent=17 & viewAgent=3] 1: (0 {Agent_move_North}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1983: [colAgent=1 & rowAgent=20 & viewAgent=1] 1: (0 {Agent_move_South}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1984: [colAgent=1 & rowAgent=19 & viewAgent=2] 1: (0 {Agent_move_West}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1985: [colAgent=1 & rowAgent=19 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1986: [colAgent=1 & rowAgent=18 & viewAgent=3] 1: (0 {Agent_move_North}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1987: [colAgent=1 & rowAgent=20 & viewAgent=2] 1: (0 {Agent_move_West}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1988: [colAgent=1 & rowAgent=20 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1989: [colAgent=1 & rowAgent=19 & viewAgent=3] 1: (0 {Agent_move_North}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1990: [colAgent=1 & rowAgent=20 & viewAgent=3] 1: (0 {Agent_move_North}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+___________________________________________________________________
diff --git a/notebooks/shielding_files_20241129T122458_wavsk47p/grid.prism b/notebooks/shielding_files_20241129T122458_wavsk47p/grid.prism
new file mode 100644
index 0000000..d25aadb
--- /dev/null
+++ b/notebooks/shielding_files_20241129T122458_wavsk47p/grid.prism
@@ -0,0 +1,183 @@
+mdp
+
+formula AgentCannotMoveEastWall = (colAgent=25&rowAgent=10) | (colAgent=25&rowAgent=14) | (colAgent=25&rowAgent=15) | (colAgent=25&rowAgent=16) | (colAgent=25&rowAgent=17);
+formula AgentCannotMoveNorthWall = (colAgent=16&rowAgent=1) | (colAgent=17&rowAgent=1) | (colAgent=18&rowAgent=1) | (colAgent=19&rowAgent=1);
+formula AgentCannotMoveSouthWall = false;
+formula AgentCannotMoveWestWall = false;
+formula AgentIsOnSlipperyEast = (colAgent=10&rowAgent=2) | (colAgent=11&rowAgent=2) | (colAgent=12&rowAgent=2) | (colAgent=16&rowAgent=3) | (colAgent=17&rowAgent=3) | (colAgent=18&rowAgent=3) | (colAgent=19&rowAgent=3) | (colAgent=16&rowAgent=6) | (colAgent=17&rowAgent=6) | (colAgent=18&rowAgent=6) | (colAgent=19&rowAgent=6) | (colAgent=20&rowAgent=6) | (colAgent=21&rowAgent=6) | (colAgent=22&rowAgent=6) | (colAgent=1&rowAgent=7) | (colAgent=2&rowAgent=7) | (colAgent=3&rowAgent=7) | (colAgent=4&rowAgent=7) | (colAgent=5&rowAgent=7) | (colAgent=6&rowAgent=7) | (colAgent=7&rowAgent=7) | (colAgent=8&rowAgent=7) | (colAgent=9&rowAgent=7) | (colAgent=10&rowAgent=7) | (colAgent=11&rowAgent=7) | (colAgent=1&rowAgent=8) | (colAgent=2&rowAgent=8) | (colAgent=3&rowAgent=8) | (colAgent=4&rowAgent=8) | (colAgent=5&rowAgent=8) | (colAgent=6&rowAgent=8) | (colAgent=7&rowAgent=8) | (colAgent=8&rowAgent=8) | (colAgent=1&rowAgent=9) | (colAgent=2&rowAgent=9) | (colAgent=3&rowAgent=9) | (colAgent=4&rowAgent=9) | (colAgent=5&rowAgent=9) | (colAgent=6&rowAgent=9) | (colAgent=7&rowAgent=9) | (colAgent=8&rowAgent=9) | (colAgent=1&rowAgent=10) | (colAgent=2&rowAgent=10) | (colAgent=3&rowAgent=10) | (colAgent=4&rowAgent=10) | (colAgent=5&rowAgent=10) | (colAgent=6&rowAgent=10) | (colAgent=7&rowAgent=10) | (colAgent=16&rowAgent=12) | (colAgent=17&rowAgent=12) | (colAgent=18&rowAgent=12) | (colAgent=19&rowAgent=12) | (colAgent=20&rowAgent=12) | (colAgent=21&rowAgent=12) | (colAgent=22&rowAgent=13) | (colAgent=23&rowAgent=13) | (colAgent=24&rowAgent=13) | (colAgent=25&rowAgent=13) | (colAgent=1&rowAgent=17) | (colAgent=2&rowAgent=17) | (colAgent=3&rowAgent=17) | (colAgent=4&rowAgent=17) | (colAgent=5&rowAgent=17) | (colAgent=6&rowAgent=17) | (colAgent=7&rowAgent=17) | (colAgent=8&rowAgent=17) | (colAgent=9&rowAgent=17) | (colAgent=10&rowAgent=17) | (colAgent=11&rowAgent=17) | (colAgent=12&rowAgent=17) | (colAgent=13&rowAgent=17) | (colAgent=14&rowAgent=17) | (colAgent=15&rowAgent=17) | (colAgent=1&rowAgent=18) | (colAgent=2&rowAgent=18) | (colAgent=3&rowAgent=18) | (colAgent=4&rowAgent=18) | (colAgent=5&rowAgent=18) | (colAgent=6&rowAgent=18) | (colAgent=7&rowAgent=18) | (colAgent=8&rowAgent=18) | (colAgent=9&rowAgent=18) | (colAgent=10&rowAgent=18) | (colAgent=11&rowAgent=18) | (colAgent=12&rowAgent=18) | (colAgent=13&rowAgent=18) | (colAgent=14&rowAgent=18) | (colAgent=15&rowAgent=18) | (colAgent=16&rowAgent=18) | (colAgent=22&rowAgent=18) | (colAgent=23&rowAgent=18) | (colAgent=24&rowAgent=18) | (colAgent=25&rowAgent=18) | (colAgent=1&rowAgent=19) | (colAgent=2&rowAgent=19) | (colAgent=3&rowAgent=19) | (colAgent=4&rowAgent=19) | (colAgent=5&rowAgent=19) | (colAgent=6&rowAgent=19) | (colAgent=7&rowAgent=19) | (colAgent=8&rowAgent=19) | (colAgent=9&rowAgent=19) | (colAgent=10&rowAgent=19) | (colAgent=11&rowAgent=19) | (colAgent=12&rowAgent=19) | (colAgent=13&rowAgent=19) | (colAgent=14&rowAgent=19) | (colAgent=15&rowAgent=19) | (colAgent=16&rowAgent=19) | (colAgent=17&rowAgent=19) | (colAgent=1&rowAgent=20) | (colAgent=2&rowAgent=20) | (colAgent=3&rowAgent=20) | (colAgent=4&rowAgent=20) | (colAgent=5&rowAgent=20) | (colAgent=6&rowAgent=20) | (colAgent=7&rowAgent=20) | (colAgent=8&rowAgent=20) | (colAgent=9&rowAgent=20) | (colAgent=10&rowAgent=20) | (colAgent=11&rowAgent=20) | (colAgent=12&rowAgent=20) | (colAgent=13&rowAgent=20) | (colAgent=14&rowAgent=20) | (colAgent=15&rowAgent=20) | (colAgent=16&rowAgent=20) | (colAgent=17&rowAgent=20) | (colAgent=18&rowAgent=20);
+formula AgentIsOnSlipperyNorth = (colAgent=15&rowAgent=1) | (colAgent=20&rowAgent=1) | (colAgent=15&rowAgent=2) | (colAgent=20&rowAgent=2) | (colAgent=13&rowAgent=3) | (colAgent=13&rowAgent=4) | (colAgent=13&rowAgent=5) | (colAgent=13&rowAgent=6) | (colAgent=15&rowAgent=7) | (colAgent=24&rowAgent=7) | (colAgent=15&rowAgent=8) | (colAgent=24&rowAgent=8) | (colAgent=15&rowAgent=9) | (colAgent=24&rowAgent=9) | (colAgent=15&rowAgent=10) | (colAgent=24&rowAgent=10) | (colAgent=13&rowAgent=11) | (colAgent=15&rowAgent=11) | (colAgent=24&rowAgent=11) | (colAgent=13&rowAgent=12) | (colAgent=13&rowAgent=13) | (colAgent=13&rowAgent=14) | (colAgent=21&rowAgent=14) | (colAgent=13&rowAgent=15) | (colAgent=21&rowAgent=15) | (colAgent=13&rowAgent=16) | (colAgent=21&rowAgent=16) | (colAgent=21&rowAgent=17);
+formula AgentIsOnSlipperyNorthEast = (colAgent=1&rowAgent=1) | (colAgent=2&rowAgent=1) | (colAgent=3&rowAgent=1) | (colAgent=4&rowAgent=1) | (colAgent=5&rowAgent=1) | (colAgent=6&rowAgent=1) | (colAgent=7&rowAgent=1) | (colAgent=8&rowAgent=1) | (colAgent=9&rowAgent=1) | (colAgent=10&rowAgent=1) | (colAgent=11&rowAgent=1) | (colAgent=12&rowAgent=1) | (colAgent=13&rowAgent=1) | (colAgent=14&rowAgent=1) | (colAgent=21&rowAgent=1) | (colAgent=22&rowAgent=1) | (colAgent=23&rowAgent=1) | (colAgent=24&rowAgent=1) | (colAgent=25&rowAgent=1) | (colAgent=1&rowAgent=2) | (colAgent=2&rowAgent=2) | (colAgent=3&rowAgent=2) | (colAgent=4&rowAgent=2) | (colAgent=5&rowAgent=2) | (colAgent=6&rowAgent=2) | (colAgent=7&rowAgent=2) | (colAgent=8&rowAgent=2) | (colAgent=9&rowAgent=2) | (colAgent=13&rowAgent=2) | (colAgent=14&rowAgent=2) | (colAgent=21&rowAgent=2) | (colAgent=22&rowAgent=2) | (colAgent=23&rowAgent=2) | (colAgent=24&rowAgent=2) | (colAgent=25&rowAgent=2) | (colAgent=1&rowAgent=3) | (colAgent=2&rowAgent=3) | (colAgent=3&rowAgent=3) | (colAgent=4&rowAgent=3) | (colAgent=5&rowAgent=3) | (colAgent=6&rowAgent=3) | (colAgent=7&rowAgent=3) | (colAgent=8&rowAgent=3) | (colAgent=9&rowAgent=3) | (colAgent=14&rowAgent=3) | (colAgent=15&rowAgent=3) | (colAgent=20&rowAgent=3) | (colAgent=21&rowAgent=3) | (colAgent=22&rowAgent=3) | (colAgent=23&rowAgent=3) | (colAgent=24&rowAgent=3) | (colAgent=25&rowAgent=3) | (colAgent=1&rowAgent=4) | (colAgent=2&rowAgent=4) | (colAgent=3&rowAgent=4) | (colAgent=4&rowAgent=4) | (colAgent=5&rowAgent=4) | (colAgent=6&rowAgent=4) | (colAgent=7&rowAgent=4) | (colAgent=8&rowAgent=4) | (colAgent=9&rowAgent=4) | (colAgent=14&rowAgent=4) | (colAgent=15&rowAgent=4) | (colAgent=16&rowAgent=4) | (colAgent=17&rowAgent=4) | (colAgent=18&rowAgent=4) | (colAgent=19&rowAgent=4) | (colAgent=20&rowAgent=4) | (colAgent=21&rowAgent=4) | (colAgent=22&rowAgent=4) | (colAgent=23&rowAgent=4) | (colAgent=24&rowAgent=4) | (colAgent=25&rowAgent=4) | (colAgent=1&rowAgent=5) | (colAgent=2&rowAgent=5) | (colAgent=3&rowAgent=5) | (colAgent=4&rowAgent=5) | (colAgent=5&rowAgent=5) | (colAgent=6&rowAgent=5) | (colAgent=7&rowAgent=5) | (colAgent=8&rowAgent=5) | (colAgent=9&rowAgent=5) | (colAgent=14&rowAgent=5) | (colAgent=15&rowAgent=5) | (colAgent=16&rowAgent=5) | (colAgent=17&rowAgent=5) | (colAgent=18&rowAgent=5) | (colAgent=19&rowAgent=5) | (colAgent=20&rowAgent=5) | (colAgent=21&rowAgent=5) | (colAgent=22&rowAgent=5) | (colAgent=23&rowAgent=5) | (colAgent=24&rowAgent=5) | (colAgent=25&rowAgent=5) | (colAgent=1&rowAgent=6) | (colAgent=2&rowAgent=6) | (colAgent=3&rowAgent=6) | (colAgent=4&rowAgent=6) | (colAgent=5&rowAgent=6) | (colAgent=6&rowAgent=6) | (colAgent=7&rowAgent=6) | (colAgent=8&rowAgent=6) | (colAgent=9&rowAgent=6) | (colAgent=14&rowAgent=6) | (colAgent=15&rowAgent=6) | (colAgent=23&rowAgent=6) | (colAgent=24&rowAgent=6) | (colAgent=25&rowAgent=6) | (colAgent=13&rowAgent=7) | (colAgent=14&rowAgent=7) | (colAgent=25&rowAgent=7) | (colAgent=9&rowAgent=8) | (colAgent=10&rowAgent=8) | (colAgent=11&rowAgent=8) | (colAgent=13&rowAgent=8) | (colAgent=14&rowAgent=8) | (colAgent=25&rowAgent=8) | (colAgent=9&rowAgent=9) | (colAgent=13&rowAgent=9) | (colAgent=14&rowAgent=9) | (colAgent=25&rowAgent=9) | (colAgent=8&rowAgent=10) | (colAgent=13&rowAgent=10) | (colAgent=14&rowAgent=10) | (colAgent=1&rowAgent=11) | (colAgent=2&rowAgent=11) | (colAgent=3&rowAgent=11) | (colAgent=4&rowAgent=11) | (colAgent=5&rowAgent=11) | (colAgent=6&rowAgent=11) | (colAgent=7&rowAgent=11) | (colAgent=14&rowAgent=11) | (colAgent=25&rowAgent=11) | (colAgent=1&rowAgent=12) | (colAgent=2&rowAgent=12) | (colAgent=3&rowAgent=12) | (colAgent=4&rowAgent=12) | (colAgent=5&rowAgent=12) | (colAgent=6&rowAgent=12) | (colAgent=7&rowAgent=12) | (colAgent=14&rowAgent=12) | (colAgent=15&rowAgent=12) | (colAgent=22&rowAgent=12) | (colAgent=23&rowAgent=12) | (colAgent=24&rowAgent=12) | (colAgent=25&rowAgent=12) | (colAgent=1&rowAgent=13) | (colAgent=2&rowAgent=13) | (colAgent=3&rowAgent=13) | (colAgent=4&rowAgent=13) | (colAgent=5&rowAgent=13) | (colAgent=6&rowAgent=13) | (colAgent=7&rowAgent=13) | (colAgent=14&rowAgent=13) | (colAgent=15&rowAgent=13) | (colAgent=16&rowAgent=13) | (colAgent=17&rowAgent=13) | (colAgent=18&rowAgent=13) | (colAgent=19&rowAgent=13) | (colAgent=20&rowAgent=13) | (colAgent=21&rowAgent=13) | (colAgent=1&rowAgent=14) | (colAgent=2&rowAgent=14) | (colAgent=3&rowAgent=14) | (colAgent=4&rowAgent=14) | (colAgent=5&rowAgent=14) | (colAgent=6&rowAgent=14) | (colAgent=7&rowAgent=14) | (colAgent=14&rowAgent=14) | (colAgent=15&rowAgent=14) | (colAgent=16&rowAgent=14) | (colAgent=17&rowAgent=14) | (colAgent=18&rowAgent=14) | (colAgent=19&rowAgent=14) | (colAgent=20&rowAgent=14) | (colAgent=1&rowAgent=15) | (colAgent=2&rowAgent=15) | (colAgent=3&rowAgent=15) | (colAgent=4&rowAgent=15) | (colAgent=5&rowAgent=15) | (colAgent=6&rowAgent=15) | (colAgent=7&rowAgent=15) | (colAgent=14&rowAgent=15) | (colAgent=15&rowAgent=15) | (colAgent=16&rowAgent=15) | (colAgent=17&rowAgent=15) | (colAgent=18&rowAgent=15) | (colAgent=19&rowAgent=15) | (colAgent=20&rowAgent=15) | (colAgent=1&rowAgent=16) | (colAgent=2&rowAgent=16) | (colAgent=3&rowAgent=16) | (colAgent=4&rowAgent=16) | (colAgent=5&rowAgent=16) | (colAgent=6&rowAgent=16) | (colAgent=7&rowAgent=16) | (colAgent=14&rowAgent=16) | (colAgent=15&rowAgent=16) | (colAgent=16&rowAgent=16) | (colAgent=17&rowAgent=16) | (colAgent=18&rowAgent=16) | (colAgent=19&rowAgent=16) | (colAgent=20&rowAgent=16) | (colAgent=16&rowAgent=17) | (colAgent=17&rowAgent=17) | (colAgent=18&rowAgent=17) | (colAgent=19&rowAgent=17) | (colAgent=20&rowAgent=17) | (colAgent=17&rowAgent=18) | (colAgent=18&rowAgent=18) | (colAgent=19&rowAgent=18) | (colAgent=20&rowAgent=18) | (colAgent=21&rowAgent=18) | (colAgent=18&rowAgent=19) | (colAgent=19&rowAgent=19) | (colAgent=20&rowAgent=19) | (colAgent=21&rowAgent=19) | (colAgent=22&rowAgent=19) | (colAgent=23&rowAgent=19) | (colAgent=24&rowAgent=19) | (colAgent=25&rowAgent=19) | (colAgent=19&rowAgent=20) | (colAgent=20&rowAgent=20) | (colAgent=21&rowAgent=20) | (colAgent=22&rowAgent=20) | (colAgent=23&rowAgent=20) | (colAgent=24&rowAgent=20) | (colAgent=25&rowAgent=20);
+formula AgentIsOnSlipperyNorthWest = false;
+formula AgentIsOnSlipperySouth = (colAgent=12&rowAgent=7) | (colAgent=12&rowAgent=8) | (colAgent=12&rowAgent=9) | (colAgent=12&rowAgent=10);
+formula AgentIsOnSlipperySouthEast = false;
+formula AgentIsOnSlipperySouthWest = false;
+formula AgentIsOnSlipperyWest = (colAgent=10&rowAgent=9) | (colAgent=11&rowAgent=9) | (colAgent=9&rowAgent=10) | (colAgent=10&rowAgent=10) | (colAgent=11&rowAgent=10);
+formula AgentIsOnSlippery = AgentIsOnSlipperyEast | AgentIsOnSlipperyNorth | AgentIsOnSlipperyNorthEast | AgentIsOnSlipperyNorthWest | AgentIsOnSlipperySouth | AgentIsOnSlipperySouthEast | AgentIsOnSlipperySouthWest | AgentIsOnSlipperyWest;
+formula AgentCannotSlipEast = (colAgent+1=0&rowAgent=0) | (colAgent+1=1&rowAgent=0) | (colAgent+1=2&rowAgent=0) | (colAgent+1=3&rowAgent=0) | (colAgent+1=4&rowAgent=0) | (colAgent+1=5&rowAgent=0) | (colAgent+1=6&rowAgent=0) | (colAgent+1=7&rowAgent=0) | (colAgent+1=8&rowAgent=0) | (colAgent+1=9&rowAgent=0) | (colAgent+1=10&rowAgent=0) | (colAgent+1=11&rowAgent=0) | (colAgent+1=12&rowAgent=0) | (colAgent+1=13&rowAgent=0) | (colAgent+1=14&rowAgent=0) | (colAgent+1=15&rowAgent=0) | (colAgent+1=16&rowAgent=0) | (colAgent+1=17&rowAgent=0) | (colAgent+1=18&rowAgent=0) | (colAgent+1=19&rowAgent=0) | (colAgent+1=20&rowAgent=0) | (colAgent+1=21&rowAgent=0) | (colAgent+1=22&rowAgent=0) | (colAgent+1=23&rowAgent=0) | (colAgent+1=24&rowAgent=0) | (colAgent+1=25&rowAgent=0) | (colAgent+1=26&rowAgent=0) | (colAgent+1=0&rowAgent=1) | (colAgent+1=26&rowAgent=1) | (colAgent+1=0&rowAgent=2) | (colAgent+1=26&rowAgent=2) | (colAgent+1=0&rowAgent=3) | (colAgent+1=26&rowAgent=3) | (colAgent+1=0&rowAgent=4) | (colAgent+1=26&rowAgent=4) | (colAgent+1=0&rowAgent=5) | (colAgent+1=26&rowAgent=5) | (colAgent+1=0&rowAgent=6) | (colAgent+1=26&rowAgent=6) | (colAgent+1=0&rowAgent=7) | (colAgent+1=26&rowAgent=7) | (colAgent+1=0&rowAgent=8) | (colAgent+1=26&rowAgent=8) | (colAgent+1=0&rowAgent=9) | (colAgent+1=26&rowAgent=9) | (colAgent+1=0&rowAgent=10) | (colAgent+1=26&rowAgent=10) | (colAgent+1=0&rowAgent=11) | (colAgent+1=26&rowAgent=11) | (colAgent+1=0&rowAgent=12) | (colAgent+1=26&rowAgent=12) | (colAgent+1=0&rowAgent=13) | (colAgent+1=26&rowAgent=13) | (colAgent+1=0&rowAgent=14) | (colAgent+1=26&rowAgent=14) | (colAgent+1=0&rowAgent=15) | (colAgent+1=26&rowAgent=15) | (colAgent+1=0&rowAgent=16) | (colAgent+1=26&rowAgent=16) | (colAgent+1=0&rowAgent=17) | (colAgent+1=26&rowAgent=17) | (colAgent+1=0&rowAgent=18) | (colAgent+1=26&rowAgent=18) | (colAgent+1=0&rowAgent=19) | (colAgent+1=26&rowAgent=19) | (colAgent+1=0&rowAgent=20) | (colAgent+1=26&rowAgent=20) | (colAgent+1=0&rowAgent=21) | (colAgent+1=1&rowAgent=21) | (colAgent+1=2&rowAgent=21) | (colAgent+1=3&rowAgent=21) | (colAgent+1=4&rowAgent=21) | (colAgent+1=5&rowAgent=21) | (colAgent+1=6&rowAgent=21) | (colAgent+1=7&rowAgent=21) | (colAgent+1=8&rowAgent=21) | (colAgent+1=9&rowAgent=21) | (colAgent+1=10&rowAgent=21) | (colAgent+1=11&rowAgent=21) | (colAgent+1=12&rowAgent=21) | (colAgent+1=13&rowAgent=21) | (colAgent+1=14&rowAgent=21) | (colAgent+1=15&rowAgent=21) | (colAgent+1=16&rowAgent=21) | (colAgent+1=17&rowAgent=21) | (colAgent+1=18&rowAgent=21) | (colAgent+1=19&rowAgent=21) | (colAgent+1=20&rowAgent=21) | (colAgent+1=21&rowAgent=21) | (colAgent+1=22&rowAgent=21) | (colAgent+1=23&rowAgent=21) | (colAgent+1=24&rowAgent=21) | (colAgent+1=25&rowAgent=21) | (colAgent+1=26&rowAgent=21);
+formula AgentCannotSlipNorth = (colAgent=0&rowAgent-1=0) | (colAgent=1&rowAgent-1=0) | (colAgent=2&rowAgent-1=0) | (colAgent=3&rowAgent-1=0) | (colAgent=4&rowAgent-1=0) | (colAgent=5&rowAgent-1=0) | (colAgent=6&rowAgent-1=0) | (colAgent=7&rowAgent-1=0) | (colAgent=8&rowAgent-1=0) | (colAgent=9&rowAgent-1=0) | (colAgent=10&rowAgent-1=0) | (colAgent=11&rowAgent-1=0) | (colAgent=12&rowAgent-1=0) | (colAgent=13&rowAgent-1=0) | (colAgent=14&rowAgent-1=0) | (colAgent=15&rowAgent-1=0) | (colAgent=16&rowAgent-1=0) | (colAgent=17&rowAgent-1=0) | (colAgent=18&rowAgent-1=0) | (colAgent=19&rowAgent-1=0) | (colAgent=20&rowAgent-1=0) | (colAgent=21&rowAgent-1=0) | (colAgent=22&rowAgent-1=0) | (colAgent=23&rowAgent-1=0) | (colAgent=24&rowAgent-1=0) | (colAgent=25&rowAgent-1=0) | (colAgent=26&rowAgent-1=0) | (colAgent=0&rowAgent-1=1) | (colAgent=26&rowAgent-1=1) | (colAgent=0&rowAgent-1=2) | (colAgent=26&rowAgent-1=2) | (colAgent=0&rowAgent-1=3) | (colAgent=26&rowAgent-1=3) | (colAgent=0&rowAgent-1=4) | (colAgent=26&rowAgent-1=4) | (colAgent=0&rowAgent-1=5) | (colAgent=26&rowAgent-1=5) | (colAgent=0&rowAgent-1=6) | (colAgent=26&rowAgent-1=6) | (colAgent=0&rowAgent-1=7) | (colAgent=26&rowAgent-1=7) | (colAgent=0&rowAgent-1=8) | (colAgent=26&rowAgent-1=8) | (colAgent=0&rowAgent-1=9) | (colAgent=26&rowAgent-1=9) | (colAgent=0&rowAgent-1=10) | (colAgent=26&rowAgent-1=10) | (colAgent=0&rowAgent-1=11) | (colAgent=26&rowAgent-1=11) | (colAgent=0&rowAgent-1=12) | (colAgent=26&rowAgent-1=12) | (colAgent=0&rowAgent-1=13) | (colAgent=26&rowAgent-1=13) | (colAgent=0&rowAgent-1=14) | (colAgent=26&rowAgent-1=14) | (colAgent=0&rowAgent-1=15) | (colAgent=26&rowAgent-1=15) | (colAgent=0&rowAgent-1=16) | (colAgent=26&rowAgent-1=16) | (colAgent=0&rowAgent-1=17) | (colAgent=26&rowAgent-1=17) | (colAgent=0&rowAgent-1=18) | (colAgent=26&rowAgent-1=18) | (colAgent=0&rowAgent-1=19) | (colAgent=26&rowAgent-1=19) | (colAgent=0&rowAgent-1=20) | (colAgent=26&rowAgent-1=20) | (colAgent=0&rowAgent-1=21) | (colAgent=1&rowAgent-1=21) | (colAgent=2&rowAgent-1=21) | (colAgent=3&rowAgent-1=21) | (colAgent=4&rowAgent-1=21) | (colAgent=5&rowAgent-1=21) | (colAgent=6&rowAgent-1=21) | (colAgent=7&rowAgent-1=21) | (colAgent=8&rowAgent-1=21) | (colAgent=9&rowAgent-1=21) | (colAgent=10&rowAgent-1=21) | (colAgent=11&rowAgent-1=21) | (colAgent=12&rowAgent-1=21) | (colAgent=13&rowAgent-1=21) | (colAgent=14&rowAgent-1=21) | (colAgent=15&rowAgent-1=21) | (colAgent=16&rowAgent-1=21) | (colAgent=17&rowAgent-1=21) | (colAgent=18&rowAgent-1=21) | (colAgent=19&rowAgent-1=21) | (colAgent=20&rowAgent-1=21) | (colAgent=21&rowAgent-1=21) | (colAgent=22&rowAgent-1=21) | (colAgent=23&rowAgent-1=21) | (colAgent=24&rowAgent-1=21) | (colAgent=25&rowAgent-1=21) | (colAgent=26&rowAgent-1=21);
+formula AgentCannotSlipNorthEast = (colAgent+1=0&rowAgent-1=0) | (colAgent+1=1&rowAgent-1=0) | (colAgent+1=2&rowAgent-1=0) | (colAgent+1=3&rowAgent-1=0) | (colAgent+1=4&rowAgent-1=0) | (colAgent+1=5&rowAgent-1=0) | (colAgent+1=6&rowAgent-1=0) | (colAgent+1=7&rowAgent-1=0) | (colAgent+1=8&rowAgent-1=0) | (colAgent+1=9&rowAgent-1=0) | (colAgent+1=10&rowAgent-1=0) | (colAgent+1=11&rowAgent-1=0) | (colAgent+1=12&rowAgent-1=0) | (colAgent+1=13&rowAgent-1=0) | (colAgent+1=14&rowAgent-1=0) | (colAgent+1=15&rowAgent-1=0) | (colAgent+1=16&rowAgent-1=0) | (colAgent+1=17&rowAgent-1=0) | (colAgent+1=18&rowAgent-1=0) | (colAgent+1=19&rowAgent-1=0) | (colAgent+1=20&rowAgent-1=0) | (colAgent+1=21&rowAgent-1=0) | (colAgent+1=22&rowAgent-1=0) | (colAgent+1=23&rowAgent-1=0) | (colAgent+1=24&rowAgent-1=0) | (colAgent+1=25&rowAgent-1=0) | (colAgent+1=26&rowAgent-1=0) | (colAgent+1=0&rowAgent-1=1) | (colAgent+1=26&rowAgent-1=1) | (colAgent+1=0&rowAgent-1=2) | (colAgent+1=26&rowAgent-1=2) | (colAgent+1=0&rowAgent-1=3) | (colAgent+1=26&rowAgent-1=3) | (colAgent+1=0&rowAgent-1=4) | (colAgent+1=26&rowAgent-1=4) | (colAgent+1=0&rowAgent-1=5) | (colAgent+1=26&rowAgent-1=5) | (colAgent+1=0&rowAgent-1=6) | (colAgent+1=26&rowAgent-1=6) | (colAgent+1=0&rowAgent-1=7) | (colAgent+1=26&rowAgent-1=7) | (colAgent+1=0&rowAgent-1=8) | (colAgent+1=26&rowAgent-1=8) | (colAgent+1=0&rowAgent-1=9) | (colAgent+1=26&rowAgent-1=9) | (colAgent+1=0&rowAgent-1=10) | (colAgent+1=26&rowAgent-1=10) | (colAgent+1=0&rowAgent-1=11) | (colAgent+1=26&rowAgent-1=11) | (colAgent+1=0&rowAgent-1=12) | (colAgent+1=26&rowAgent-1=12) | (colAgent+1=0&rowAgent-1=13) | (colAgent+1=26&rowAgent-1=13) | (colAgent+1=0&rowAgent-1=14) | (colAgent+1=26&rowAgent-1=14) | (colAgent+1=0&rowAgent-1=15) | (colAgent+1=26&rowAgent-1=15) | (colAgent+1=0&rowAgent-1=16) | (colAgent+1=26&rowAgent-1=16) | (colAgent+1=0&rowAgent-1=17) | (colAgent+1=26&rowAgent-1=17) | (colAgent+1=0&rowAgent-1=18) | (colAgent+1=26&rowAgent-1=18) | (colAgent+1=0&rowAgent-1=19) | (colAgent+1=26&rowAgent-1=19) | (colAgent+1=0&rowAgent-1=20) | (colAgent+1=26&rowAgent-1=20) | (colAgent+1=0&rowAgent-1=21) | (colAgent+1=1&rowAgent-1=21) | (colAgent+1=2&rowAgent-1=21) | (colAgent+1=3&rowAgent-1=21) | (colAgent+1=4&rowAgent-1=21) | (colAgent+1=5&rowAgent-1=21) | (colAgent+1=6&rowAgent-1=21) | (colAgent+1=7&rowAgent-1=21) | (colAgent+1=8&rowAgent-1=21) | (colAgent+1=9&rowAgent-1=21) | (colAgent+1=10&rowAgent-1=21) | (colAgent+1=11&rowAgent-1=21) | (colAgent+1=12&rowAgent-1=21) | (colAgent+1=13&rowAgent-1=21) | (colAgent+1=14&rowAgent-1=21) | (colAgent+1=15&rowAgent-1=21) | (colAgent+1=16&rowAgent-1=21) | (colAgent+1=17&rowAgent-1=21) | (colAgent+1=18&rowAgent-1=21) | (colAgent+1=19&rowAgent-1=21) | (colAgent+1=20&rowAgent-1=21) | (colAgent+1=21&rowAgent-1=21) | (colAgent+1=22&rowAgent-1=21) | (colAgent+1=23&rowAgent-1=21) | (colAgent+1=24&rowAgent-1=21) | (colAgent+1=25&rowAgent-1=21) | (colAgent+1=26&rowAgent-1=21);
+formula AgentCannotSlipNorthWest = (colAgent-1=0&rowAgent-1=0) | (colAgent-1=1&rowAgent-1=0) | (colAgent-1=2&rowAgent-1=0) | (colAgent-1=3&rowAgent-1=0) | (colAgent-1=4&rowAgent-1=0) | (colAgent-1=5&rowAgent-1=0) | (colAgent-1=6&rowAgent-1=0) | (colAgent-1=7&rowAgent-1=0) | (colAgent-1=8&rowAgent-1=0) | (colAgent-1=9&rowAgent-1=0) | (colAgent-1=10&rowAgent-1=0) | (colAgent-1=11&rowAgent-1=0) | (colAgent-1=12&rowAgent-1=0) | (colAgent-1=13&rowAgent-1=0) | (colAgent-1=14&rowAgent-1=0) | (colAgent-1=15&rowAgent-1=0) | (colAgent-1=16&rowAgent-1=0) | (colAgent-1=17&rowAgent-1=0) | (colAgent-1=18&rowAgent-1=0) | (colAgent-1=19&rowAgent-1=0) | (colAgent-1=20&rowAgent-1=0) | (colAgent-1=21&rowAgent-1=0) | (colAgent-1=22&rowAgent-1=0) | (colAgent-1=23&rowAgent-1=0) | (colAgent-1=24&rowAgent-1=0) | (colAgent-1=25&rowAgent-1=0) | (colAgent-1=26&rowAgent-1=0) | (colAgent-1=0&rowAgent-1=1) | (colAgent-1=26&rowAgent-1=1) | (colAgent-1=0&rowAgent-1=2) | (colAgent-1=26&rowAgent-1=2) | (colAgent-1=0&rowAgent-1=3) | (colAgent-1=26&rowAgent-1=3) | (colAgent-1=0&rowAgent-1=4) | (colAgent-1=26&rowAgent-1=4) | (colAgent-1=0&rowAgent-1=5) | (colAgent-1=26&rowAgent-1=5) | (colAgent-1=0&rowAgent-1=6) | (colAgent-1=26&rowAgent-1=6) | (colAgent-1=0&rowAgent-1=7) | (colAgent-1=26&rowAgent-1=7) | (colAgent-1=0&rowAgent-1=8) | (colAgent-1=26&rowAgent-1=8) | (colAgent-1=0&rowAgent-1=9) | (colAgent-1=26&rowAgent-1=9) | (colAgent-1=0&rowAgent-1=10) | (colAgent-1=26&rowAgent-1=10) | (colAgent-1=0&rowAgent-1=11) | (colAgent-1=26&rowAgent-1=11) | (colAgent-1=0&rowAgent-1=12) | (colAgent-1=26&rowAgent-1=12) | (colAgent-1=0&rowAgent-1=13) | (colAgent-1=26&rowAgent-1=13) | (colAgent-1=0&rowAgent-1=14) | (colAgent-1=26&rowAgent-1=14) | (colAgent-1=0&rowAgent-1=15) | (colAgent-1=26&rowAgent-1=15) | (colAgent-1=0&rowAgent-1=16) | (colAgent-1=26&rowAgent-1=16) | (colAgent-1=0&rowAgent-1=17) | (colAgent-1=26&rowAgent-1=17) | (colAgent-1=0&rowAgent-1=18) | (colAgent-1=26&rowAgent-1=18) | (colAgent-1=0&rowAgent-1=19) | (colAgent-1=26&rowAgent-1=19) | (colAgent-1=0&rowAgent-1=20) | (colAgent-1=26&rowAgent-1=20) | (colAgent-1=0&rowAgent-1=21) | (colAgent-1=1&rowAgent-1=21) | (colAgent-1=2&rowAgent-1=21) | (colAgent-1=3&rowAgent-1=21) | (colAgent-1=4&rowAgent-1=21) | (colAgent-1=5&rowAgent-1=21) | (colAgent-1=6&rowAgent-1=21) | (colAgent-1=7&rowAgent-1=21) | (colAgent-1=8&rowAgent-1=21) | (colAgent-1=9&rowAgent-1=21) | (colAgent-1=10&rowAgent-1=21) | (colAgent-1=11&rowAgent-1=21) | (colAgent-1=12&rowAgent-1=21) | (colAgent-1=13&rowAgent-1=21) | (colAgent-1=14&rowAgent-1=21) | (colAgent-1=15&rowAgent-1=21) | (colAgent-1=16&rowAgent-1=21) | (colAgent-1=17&rowAgent-1=21) | (colAgent-1=18&rowAgent-1=21) | (colAgent-1=19&rowAgent-1=21) | (colAgent-1=20&rowAgent-1=21) | (colAgent-1=21&rowAgent-1=21) | (colAgent-1=22&rowAgent-1=21) | (colAgent-1=23&rowAgent-1=21) | (colAgent-1=24&rowAgent-1=21) | (colAgent-1=25&rowAgent-1=21) | (colAgent-1=26&rowAgent-1=21);
+formula AgentCannotSlipSouth = (colAgent=0&rowAgent+1=0) | (colAgent=1&rowAgent+1=0) | (colAgent=2&rowAgent+1=0) | (colAgent=3&rowAgent+1=0) | (colAgent=4&rowAgent+1=0) | (colAgent=5&rowAgent+1=0) | (colAgent=6&rowAgent+1=0) | (colAgent=7&rowAgent+1=0) | (colAgent=8&rowAgent+1=0) | (colAgent=9&rowAgent+1=0) | (colAgent=10&rowAgent+1=0) | (colAgent=11&rowAgent+1=0) | (colAgent=12&rowAgent+1=0) | (colAgent=13&rowAgent+1=0) | (colAgent=14&rowAgent+1=0) | (colAgent=15&rowAgent+1=0) | (colAgent=16&rowAgent+1=0) | (colAgent=17&rowAgent+1=0) | (colAgent=18&rowAgent+1=0) | (colAgent=19&rowAgent+1=0) | (colAgent=20&rowAgent+1=0) | (colAgent=21&rowAgent+1=0) | (colAgent=22&rowAgent+1=0) | (colAgent=23&rowAgent+1=0) | (colAgent=24&rowAgent+1=0) | (colAgent=25&rowAgent+1=0) | (colAgent=26&rowAgent+1=0) | (colAgent=0&rowAgent+1=1) | (colAgent=26&rowAgent+1=1) | (colAgent=0&rowAgent+1=2) | (colAgent=26&rowAgent+1=2) | (colAgent=0&rowAgent+1=3) | (colAgent=26&rowAgent+1=3) | (colAgent=0&rowAgent+1=4) | (colAgent=26&rowAgent+1=4) | (colAgent=0&rowAgent+1=5) | (colAgent=26&rowAgent+1=5) | (colAgent=0&rowAgent+1=6) | (colAgent=26&rowAgent+1=6) | (colAgent=0&rowAgent+1=7) | (colAgent=26&rowAgent+1=7) | (colAgent=0&rowAgent+1=8) | (colAgent=26&rowAgent+1=8) | (colAgent=0&rowAgent+1=9) | (colAgent=26&rowAgent+1=9) | (colAgent=0&rowAgent+1=10) | (colAgent=26&rowAgent+1=10) | (colAgent=0&rowAgent+1=11) | (colAgent=26&rowAgent+1=11) | (colAgent=0&rowAgent+1=12) | (colAgent=26&rowAgent+1=12) | (colAgent=0&rowAgent+1=13) | (colAgent=26&rowAgent+1=13) | (colAgent=0&rowAgent+1=14) | (colAgent=26&rowAgent+1=14) | (colAgent=0&rowAgent+1=15) | (colAgent=26&rowAgent+1=15) | (colAgent=0&rowAgent+1=16) | (colAgent=26&rowAgent+1=16) | (colAgent=0&rowAgent+1=17) | (colAgent=26&rowAgent+1=17) | (colAgent=0&rowAgent+1=18) | (colAgent=26&rowAgent+1=18) | (colAgent=0&rowAgent+1=19) | (colAgent=26&rowAgent+1=19) | (colAgent=0&rowAgent+1=20) | (colAgent=26&rowAgent+1=20) | (colAgent=0&rowAgent+1=21) | (colAgent=1&rowAgent+1=21) | (colAgent=2&rowAgent+1=21) | (colAgent=3&rowAgent+1=21) | (colAgent=4&rowAgent+1=21) | (colAgent=5&rowAgent+1=21) | (colAgent=6&rowAgent+1=21) | (colAgent=7&rowAgent+1=21) | (colAgent=8&rowAgent+1=21) | (colAgent=9&rowAgent+1=21) | (colAgent=10&rowAgent+1=21) | (colAgent=11&rowAgent+1=21) | (colAgent=12&rowAgent+1=21) | (colAgent=13&rowAgent+1=21) | (colAgent=14&rowAgent+1=21) | (colAgent=15&rowAgent+1=21) | (colAgent=16&rowAgent+1=21) | (colAgent=17&rowAgent+1=21) | (colAgent=18&rowAgent+1=21) | (colAgent=19&rowAgent+1=21) | (colAgent=20&rowAgent+1=21) | (colAgent=21&rowAgent+1=21) | (colAgent=22&rowAgent+1=21) | (colAgent=23&rowAgent+1=21) | (colAgent=24&rowAgent+1=21) | (colAgent=25&rowAgent+1=21) | (colAgent=26&rowAgent+1=21);
+formula AgentCannotSlipSouthEast = (colAgent+1=0&rowAgent+1=0) | (colAgent+1=1&rowAgent+1=0) | (colAgent+1=2&rowAgent+1=0) | (colAgent+1=3&rowAgent+1=0) | (colAgent+1=4&rowAgent+1=0) | (colAgent+1=5&rowAgent+1=0) | (colAgent+1=6&rowAgent+1=0) | (colAgent+1=7&rowAgent+1=0) | (colAgent+1=8&rowAgent+1=0) | (colAgent+1=9&rowAgent+1=0) | (colAgent+1=10&rowAgent+1=0) | (colAgent+1=11&rowAgent+1=0) | (colAgent+1=12&rowAgent+1=0) | (colAgent+1=13&rowAgent+1=0) | (colAgent+1=14&rowAgent+1=0) | (colAgent+1=15&rowAgent+1=0) | (colAgent+1=16&rowAgent+1=0) | (colAgent+1=17&rowAgent+1=0) | (colAgent+1=18&rowAgent+1=0) | (colAgent+1=19&rowAgent+1=0) | (colAgent+1=20&rowAgent+1=0) | (colAgent+1=21&rowAgent+1=0) | (colAgent+1=22&rowAgent+1=0) | (colAgent+1=23&rowAgent+1=0) | (colAgent+1=24&rowAgent+1=0) | (colAgent+1=25&rowAgent+1=0) | (colAgent+1=26&rowAgent+1=0) | (colAgent+1=0&rowAgent+1=1) | (colAgent+1=26&rowAgent+1=1) | (colAgent+1=0&rowAgent+1=2) | (colAgent+1=26&rowAgent+1=2) | (colAgent+1=0&rowAgent+1=3) | (colAgent+1=26&rowAgent+1=3) | (colAgent+1=0&rowAgent+1=4) | (colAgent+1=26&rowAgent+1=4) | (colAgent+1=0&rowAgent+1=5) | (colAgent+1=26&rowAgent+1=5) | (colAgent+1=0&rowAgent+1=6) | (colAgent+1=26&rowAgent+1=6) | (colAgent+1=0&rowAgent+1=7) | (colAgent+1=26&rowAgent+1=7) | (colAgent+1=0&rowAgent+1=8) | (colAgent+1=26&rowAgent+1=8) | (colAgent+1=0&rowAgent+1=9) | (colAgent+1=26&rowAgent+1=9) | (colAgent+1=0&rowAgent+1=10) | (colAgent+1=26&rowAgent+1=10) | (colAgent+1=0&rowAgent+1=11) | (colAgent+1=26&rowAgent+1=11) | (colAgent+1=0&rowAgent+1=12) | (colAgent+1=26&rowAgent+1=12) | (colAgent+1=0&rowAgent+1=13) | (colAgent+1=26&rowAgent+1=13) | (colAgent+1=0&rowAgent+1=14) | (colAgent+1=26&rowAgent+1=14) | (colAgent+1=0&rowAgent+1=15) | (colAgent+1=26&rowAgent+1=15) | (colAgent+1=0&rowAgent+1=16) | (colAgent+1=26&rowAgent+1=16) | (colAgent+1=0&rowAgent+1=17) | (colAgent+1=26&rowAgent+1=17) | (colAgent+1=0&rowAgent+1=18) | (colAgent+1=26&rowAgent+1=18) | (colAgent+1=0&rowAgent+1=19) | (colAgent+1=26&rowAgent+1=19) | (colAgent+1=0&rowAgent+1=20) | (colAgent+1=26&rowAgent+1=20) | (colAgent+1=0&rowAgent+1=21) | (colAgent+1=1&rowAgent+1=21) | (colAgent+1=2&rowAgent+1=21) | (colAgent+1=3&rowAgent+1=21) | (colAgent+1=4&rowAgent+1=21) | (colAgent+1=5&rowAgent+1=21) | (colAgent+1=6&rowAgent+1=21) | (colAgent+1=7&rowAgent+1=21) | (colAgent+1=8&rowAgent+1=21) | (colAgent+1=9&rowAgent+1=21) | (colAgent+1=10&rowAgent+1=21) | (colAgent+1=11&rowAgent+1=21) | (colAgent+1=12&rowAgent+1=21) | (colAgent+1=13&rowAgent+1=21) | (colAgent+1=14&rowAgent+1=21) | (colAgent+1=15&rowAgent+1=21) | (colAgent+1=16&rowAgent+1=21) | (colAgent+1=17&rowAgent+1=21) | (colAgent+1=18&rowAgent+1=21) | (colAgent+1=19&rowAgent+1=21) | (colAgent+1=20&rowAgent+1=21) | (colAgent+1=21&rowAgent+1=21) | (colAgent+1=22&rowAgent+1=21) | (colAgent+1=23&rowAgent+1=21) | (colAgent+1=24&rowAgent+1=21) | (colAgent+1=25&rowAgent+1=21) | (colAgent+1=26&rowAgent+1=21);
+formula AgentCannotSlipSouthWest = (colAgent-1=0&rowAgent+1=0) | (colAgent-1=1&rowAgent+1=0) | (colAgent-1=2&rowAgent+1=0) | (colAgent-1=3&rowAgent+1=0) | (colAgent-1=4&rowAgent+1=0) | (colAgent-1=5&rowAgent+1=0) | (colAgent-1=6&rowAgent+1=0) | (colAgent-1=7&rowAgent+1=0) | (colAgent-1=8&rowAgent+1=0) | (colAgent-1=9&rowAgent+1=0) | (colAgent-1=10&rowAgent+1=0) | (colAgent-1=11&rowAgent+1=0) | (colAgent-1=12&rowAgent+1=0) | (colAgent-1=13&rowAgent+1=0) | (colAgent-1=14&rowAgent+1=0) | (colAgent-1=15&rowAgent+1=0) | (colAgent-1=16&rowAgent+1=0) | (colAgent-1=17&rowAgent+1=0) | (colAgent-1=18&rowAgent+1=0) | (colAgent-1=19&rowAgent+1=0) | (colAgent-1=20&rowAgent+1=0) | (colAgent-1=21&rowAgent+1=0) | (colAgent-1=22&rowAgent+1=0) | (colAgent-1=23&rowAgent+1=0) | (colAgent-1=24&rowAgent+1=0) | (colAgent-1=25&rowAgent+1=0) | (colAgent-1=26&rowAgent+1=0) | (colAgent-1=0&rowAgent+1=1) | (colAgent-1=26&rowAgent+1=1) | (colAgent-1=0&rowAgent+1=2) | (colAgent-1=26&rowAgent+1=2) | (colAgent-1=0&rowAgent+1=3) | (colAgent-1=26&rowAgent+1=3) | (colAgent-1=0&rowAgent+1=4) | (colAgent-1=26&rowAgent+1=4) | (colAgent-1=0&rowAgent+1=5) | (colAgent-1=26&rowAgent+1=5) | (colAgent-1=0&rowAgent+1=6) | (colAgent-1=26&rowAgent+1=6) | (colAgent-1=0&rowAgent+1=7) | (colAgent-1=26&rowAgent+1=7) | (colAgent-1=0&rowAgent+1=8) | (colAgent-1=26&rowAgent+1=8) | (colAgent-1=0&rowAgent+1=9) | (colAgent-1=26&rowAgent+1=9) | (colAgent-1=0&rowAgent+1=10) | (colAgent-1=26&rowAgent+1=10) | (colAgent-1=0&rowAgent+1=11) | (colAgent-1=26&rowAgent+1=11) | (colAgent-1=0&rowAgent+1=12) | (colAgent-1=26&rowAgent+1=12) | (colAgent-1=0&rowAgent+1=13) | (colAgent-1=26&rowAgent+1=13) | (colAgent-1=0&rowAgent+1=14) | (colAgent-1=26&rowAgent+1=14) | (colAgent-1=0&rowAgent+1=15) | (colAgent-1=26&rowAgent+1=15) | (colAgent-1=0&rowAgent+1=16) | (colAgent-1=26&rowAgent+1=16) | (colAgent-1=0&rowAgent+1=17) | (colAgent-1=26&rowAgent+1=17) | (colAgent-1=0&rowAgent+1=18) | (colAgent-1=26&rowAgent+1=18) | (colAgent-1=0&rowAgent+1=19) | (colAgent-1=26&rowAgent+1=19) | (colAgent-1=0&rowAgent+1=20) | (colAgent-1=26&rowAgent+1=20) | (colAgent-1=0&rowAgent+1=21) | (colAgent-1=1&rowAgent+1=21) | (colAgent-1=2&rowAgent+1=21) | (colAgent-1=3&rowAgent+1=21) | (colAgent-1=4&rowAgent+1=21) | (colAgent-1=5&rowAgent+1=21) | (colAgent-1=6&rowAgent+1=21) | (colAgent-1=7&rowAgent+1=21) | (colAgent-1=8&rowAgent+1=21) | (colAgent-1=9&rowAgent+1=21) | (colAgent-1=10&rowAgent+1=21) | (colAgent-1=11&rowAgent+1=21) | (colAgent-1=12&rowAgent+1=21) | (colAgent-1=13&rowAgent+1=21) | (colAgent-1=14&rowAgent+1=21) | (colAgent-1=15&rowAgent+1=21) | (colAgent-1=16&rowAgent+1=21) | (colAgent-1=17&rowAgent+1=21) | (colAgent-1=18&rowAgent+1=21) | (colAgent-1=19&rowAgent+1=21) | (colAgent-1=20&rowAgent+1=21) | (colAgent-1=21&rowAgent+1=21) | (colAgent-1=22&rowAgent+1=21) | (colAgent-1=23&rowAgent+1=21) | (colAgent-1=24&rowAgent+1=21) | (colAgent-1=25&rowAgent+1=21) | (colAgent-1=26&rowAgent+1=21);
+formula AgentCannotSlipWest = (colAgent-1=0&rowAgent=0) | (colAgent-1=1&rowAgent=0) | (colAgent-1=2&rowAgent=0) | (colAgent-1=3&rowAgent=0) | (colAgent-1=4&rowAgent=0) | (colAgent-1=5&rowAgent=0) | (colAgent-1=6&rowAgent=0) | (colAgent-1=7&rowAgent=0) | (colAgent-1=8&rowAgent=0) | (colAgent-1=9&rowAgent=0) | (colAgent-1=10&rowAgent=0) | (colAgent-1=11&rowAgent=0) | (colAgent-1=12&rowAgent=0) | (colAgent-1=13&rowAgent=0) | (colAgent-1=14&rowAgent=0) | (colAgent-1=15&rowAgent=0) | (colAgent-1=16&rowAgent=0) | (colAgent-1=17&rowAgent=0) | (colAgent-1=18&rowAgent=0) | (colAgent-1=19&rowAgent=0) | (colAgent-1=20&rowAgent=0) | (colAgent-1=21&rowAgent=0) | (colAgent-1=22&rowAgent=0) | (colAgent-1=23&rowAgent=0) | (colAgent-1=24&rowAgent=0) | (colAgent-1=25&rowAgent=0) | (colAgent-1=26&rowAgent=0) | (colAgent-1=0&rowAgent=1) | (colAgent-1=26&rowAgent=1) | (colAgent-1=0&rowAgent=2) | (colAgent-1=26&rowAgent=2) | (colAgent-1=0&rowAgent=3) | (colAgent-1=26&rowAgent=3) | (colAgent-1=0&rowAgent=4) | (colAgent-1=26&rowAgent=4) | (colAgent-1=0&rowAgent=5) | (colAgent-1=26&rowAgent=5) | (colAgent-1=0&rowAgent=6) | (colAgent-1=26&rowAgent=6) | (colAgent-1=0&rowAgent=7) | (colAgent-1=26&rowAgent=7) | (colAgent-1=0&rowAgent=8) | (colAgent-1=26&rowAgent=8) | (colAgent-1=0&rowAgent=9) | (colAgent-1=26&rowAgent=9) | (colAgent-1=0&rowAgent=10) | (colAgent-1=26&rowAgent=10) | (colAgent-1=0&rowAgent=11) | (colAgent-1=26&rowAgent=11) | (colAgent-1=0&rowAgent=12) | (colAgent-1=26&rowAgent=12) | (colAgent-1=0&rowAgent=13) | (colAgent-1=26&rowAgent=13) | (colAgent-1=0&rowAgent=14) | (colAgent-1=26&rowAgent=14) | (colAgent-1=0&rowAgent=15) | (colAgent-1=26&rowAgent=15) | (colAgent-1=0&rowAgent=16) | (colAgent-1=26&rowAgent=16) | (colAgent-1=0&rowAgent=17) | (colAgent-1=26&rowAgent=17) | (colAgent-1=0&rowAgent=18) | (colAgent-1=26&rowAgent=18) | (colAgent-1=0&rowAgent=19) | (colAgent-1=26&rowAgent=19) | (colAgent-1=0&rowAgent=20) | (colAgent-1=26&rowAgent=20) | (colAgent-1=0&rowAgent=21) | (colAgent-1=1&rowAgent=21) | (colAgent-1=2&rowAgent=21) | (colAgent-1=3&rowAgent=21) | (colAgent-1=4&rowAgent=21) | (colAgent-1=5&rowAgent=21) | (colAgent-1=6&rowAgent=21) | (colAgent-1=7&rowAgent=21) | (colAgent-1=8&rowAgent=21) | (colAgent-1=9&rowAgent=21) | (colAgent-1=10&rowAgent=21) | (colAgent-1=11&rowAgent=21) | (colAgent-1=12&rowAgent=21) | (colAgent-1=13&rowAgent=21) | (colAgent-1=14&rowAgent=21) | (colAgent-1=15&rowAgent=21) | (colAgent-1=16&rowAgent=21) | (colAgent-1=17&rowAgent=21) | (colAgent-1=18&rowAgent=21) | (colAgent-1=19&rowAgent=21) | (colAgent-1=20&rowAgent=21) | (colAgent-1=21&rowAgent=21) | (colAgent-1=22&rowAgent=21) | (colAgent-1=23&rowAgent=21) | (colAgent-1=24&rowAgent=21) | (colAgent-1=25&rowAgent=21) | (colAgent-1=26&rowAgent=21);
+formula AgentIsOnLava = (colAgent=16&rowAgent=1) | (colAgent=17&rowAgent=1) | (colAgent=18&rowAgent=1) | (colAgent=19&rowAgent=1) | (colAgent=16&rowAgent=2) | (colAgent=17&rowAgent=2) | (colAgent=18&rowAgent=2) | (colAgent=19&rowAgent=2) | (colAgent=10&rowAgent=3) | (colAgent=11&rowAgent=3) | (colAgent=12&rowAgent=3) | (colAgent=10&rowAgent=4) | (colAgent=11&rowAgent=4) | (colAgent=12&rowAgent=4) | (colAgent=10&rowAgent=5) | (colAgent=11&rowAgent=5) | (colAgent=12&rowAgent=5) | (colAgent=10&rowAgent=6) | (colAgent=11&rowAgent=6) | (colAgent=12&rowAgent=6) | (colAgent=16&rowAgent=7) | (colAgent=17&rowAgent=7) | (colAgent=18&rowAgent=7) | (colAgent=19&rowAgent=7) | (colAgent=20&rowAgent=7) | (colAgent=21&rowAgent=7) | (colAgent=22&rowAgent=7) | (colAgent=23&rowAgent=7) | (colAgent=16&rowAgent=8) | (colAgent=17&rowAgent=8) | (colAgent=18&rowAgent=8) | (colAgent=19&rowAgent=8) | (colAgent=20&rowAgent=8) | (colAgent=21&rowAgent=8) | (colAgent=22&rowAgent=8) | (colAgent=23&rowAgent=8) | (colAgent=16&rowAgent=9) | (colAgent=17&rowAgent=9) | (colAgent=18&rowAgent=9) | (colAgent=19&rowAgent=9) | (colAgent=20&rowAgent=9) | (colAgent=21&rowAgent=9) | (colAgent=22&rowAgent=9) | (colAgent=23&rowAgent=9) | (colAgent=16&rowAgent=10) | (colAgent=17&rowAgent=10) | (colAgent=18&rowAgent=10) | (colAgent=19&rowAgent=10) | (colAgent=20&rowAgent=10) | (colAgent=21&rowAgent=10) | (colAgent=22&rowAgent=10) | (colAgent=23&rowAgent=10) | (colAgent=8&rowAgent=11) | (colAgent=9&rowAgent=11) | (colAgent=10&rowAgent=11) | (colAgent=11&rowAgent=11) | (colAgent=12&rowAgent=11) | (colAgent=16&rowAgent=11) | (colAgent=17&rowAgent=11) | (colAgent=18&rowAgent=11) | (colAgent=19&rowAgent=11) | (colAgent=20&rowAgent=11) | (colAgent=21&rowAgent=11) | (colAgent=22&rowAgent=11) | (colAgent=23&rowAgent=11) | (colAgent=8&rowAgent=12) | (colAgent=9&rowAgent=12) | (colAgent=10&rowAgent=12) | (colAgent=11&rowAgent=12) | (colAgent=12&rowAgent=12) | (colAgent=8&rowAgent=13) | (colAgent=9&rowAgent=13) | (colAgent=10&rowAgent=13) | (colAgent=11&rowAgent=13) | (colAgent=12&rowAgent=13) | (colAgent=8&rowAgent=14) | (colAgent=9&rowAgent=14) | (colAgent=10&rowAgent=14) | (colAgent=11&rowAgent=14) | (colAgent=12&rowAgent=14) | (colAgent=22&rowAgent=14) | (colAgent=23&rowAgent=14) | (colAgent=24&rowAgent=14) | (colAgent=25&rowAgent=14) | (colAgent=8&rowAgent=15) | (colAgent=9&rowAgent=15) | (colAgent=10&rowAgent=15) | (colAgent=11&rowAgent=15) | (colAgent=12&rowAgent=15) | (colAgent=22&rowAgent=15) | (colAgent=23&rowAgent=15) | (colAgent=24&rowAgent=15) | (colAgent=25&rowAgent=15) | (colAgent=8&rowAgent=16) | (colAgent=9&rowAgent=16) | (colAgent=10&rowAgent=16) | (colAgent=11&rowAgent=16) | (colAgent=12&rowAgent=16) | (colAgent=22&rowAgent=16) | (colAgent=23&rowAgent=16) | (colAgent=24&rowAgent=16) | (colAgent=25&rowAgent=16) | (colAgent=22&rowAgent=17) | (colAgent=23&rowAgent=17) | (colAgent=24&rowAgent=17) | (colAgent=25&rowAgent=17);
+formula AgentIsOnGoal = (colAgent=25&rowAgent=10);
+init
+ true
+endinit
+
+
+module Agent
+ colAgent : [1..25];
+ rowAgent : [1..20];
+ viewAgent : [0..3];
+
+ [Agent_turn_right] !AgentIsOnSlippery & !AgentIsOnLava &true -> 1.000000: (viewAgent'=mod(viewAgent+1,4));
+ [Agent_turn_left] !AgentIsOnSlippery & !AgentIsOnLava &viewAgent>0 -> 1.000000: (viewAgent'=viewAgent-1);
+ [Agent_turn_left] !AgentIsOnSlippery & !AgentIsOnLava &viewAgent=0 -> 1.000000: (viewAgent'=3);
+ [Agent_move_North] viewAgent=3 & !AgentIsOnSlippery & !AgentIsOnLava & !AgentIsOnGoal & !AgentCannotMoveNorthWall -> 1.000000: (rowAgent'=rowAgent-1);
+ [Agent_move_East] viewAgent=0 & !AgentIsOnSlippery & !AgentIsOnLava & !AgentIsOnGoal & !AgentCannotMoveEastWall -> 1.000000: (colAgent'=colAgent+1);
+ [Agent_move_South] viewAgent=1 & !AgentIsOnSlippery & !AgentIsOnLava & !AgentIsOnGoal & !AgentCannotMoveSouthWall -> 1.000000: (rowAgent'=rowAgent+1);
+ [Agent_move_West] viewAgent=2 & !AgentIsOnSlippery & !AgentIsOnLava & !AgentIsOnGoal & !AgentCannotMoveWestWall -> 1.000000: (colAgent'=colAgent-1);
+ [Agent_move_North] viewAgent=3 & AgentIsOnSlipperyNorth & !AgentCannotSlipNorth & !AgentCannotSlipNorthEast & !AgentCannotSlipNorthWest -> 0.950000: (rowAgent'=rowAgent-1) + 0.025000: (rowAgent'=rowAgent-1)&(colAgent'=colAgent+1) + 0.025000: (rowAgent'=rowAgent-1)&(colAgent'=colAgent-1);
+ [Agent_move_North] viewAgent=3 & AgentIsOnSlipperyNorth & AgentCannotSlipNorth & !AgentCannotSlipNorthEast & !AgentCannotSlipNorthWest -> 0.000000: (rowAgent'=rowAgent-1)&(colAgent'=colAgent+1) + 0.000000: (rowAgent'=rowAgent-1)&(colAgent'=colAgent-1);
+ [Agent_move_North] viewAgent=3 & AgentIsOnSlipperyNorth & !AgentCannotSlipNorth & AgentCannotSlipNorthEast & !AgentCannotSlipNorthWest -> 0.950000: (rowAgent'=rowAgent-1) + 0.050000: (rowAgent'=rowAgent-1)&(colAgent'=colAgent-1);
+ [Agent_move_North] viewAgent=3 & AgentIsOnSlipperyNorth & !AgentCannotSlipNorth & !AgentCannotSlipNorthEast & AgentCannotSlipNorthWest -> 0.950000: (rowAgent'=rowAgent-1) + 0.050000: (rowAgent'=rowAgent-1)&(colAgent'=colAgent+1);
+ [Agent_move_North] viewAgent=3 & AgentIsOnSlipperyNorth & AgentCannotSlipNorth & AgentCannotSlipNorthEast & !AgentCannotSlipNorthWest -> 1.000000: (rowAgent'=rowAgent-1)&(colAgent'=colAgent-1);
+ [Agent_move_North] viewAgent=3 & AgentIsOnSlipperyNorth & !AgentCannotSlipNorth & AgentCannotSlipNorthEast & AgentCannotSlipNorthWest -> 1.000000: (rowAgent'=rowAgent-1);
+ [Agent_move_North] viewAgent=3 & AgentIsOnSlipperyNorth & AgentCannotSlipNorth & !AgentCannotSlipNorthEast & AgentCannotSlipNorthWest -> 1.000000: (rowAgent'=rowAgent-1)&(colAgent'=colAgent+1);
+ [Agent_move_North] viewAgent=3 & AgentIsOnSlipperyNorth & AgentCannotSlipNorth & AgentCannotSlipNorthEast & AgentCannotSlipNorthWest -> true;
+ [Agent_move_West] viewAgent=2 & AgentIsOnSlipperyNorth & !AgentCannotSlipWest & !AgentCannotSlipNorthWest -> 0.950000: (colAgent'=colAgent-1) + 0.050000: (colAgent'=colAgent-1)&(rowAgent'=rowAgent-1);
+ [Agent_move_West] viewAgent=2 & AgentIsOnSlipperyNorth & AgentCannotSlipWest & !AgentCannotSlipNorthWest -> 1.000000: (colAgent'=colAgent-1)&(rowAgent'=rowAgent-1);
+ [Agent_move_West] viewAgent=2 & AgentIsOnSlipperyNorth & !AgentCannotSlipWest & AgentCannotSlipNorthWest -> 1.000000: (colAgent'=colAgent-1);
+ [Agent_move_West] viewAgent=2 & AgentIsOnSlipperyNorth & AgentCannotSlipWest & AgentCannotSlipNorthWest -> true;
+ [Agent_move_East] viewAgent=0 & AgentIsOnSlipperyNorth & !AgentCannotSlipEast & !AgentCannotSlipNorthEast -> 0.950000: (colAgent'=colAgent+1) + 0.050000: (colAgent'=colAgent+1)&(rowAgent'=rowAgent-1);
+ [Agent_move_East] viewAgent=0 & AgentIsOnSlipperyNorth & AgentCannotSlipEast & !AgentCannotSlipNorthEast -> 1.000000: (colAgent'=colAgent+1)&(rowAgent'=rowAgent-1);
+ [Agent_move_East] viewAgent=0 & AgentIsOnSlipperyNorth & !AgentCannotSlipEast & AgentCannotSlipNorthEast -> 1.000000: (colAgent'=colAgent+1);
+ [Agent_move_East] viewAgent=0 & AgentIsOnSlipperyNorth & AgentCannotSlipEast & AgentCannotSlipNorthEast -> true;
+ [Agent_move_South] viewAgent=1 & AgentIsOnSlipperyNorth & !AgentCannotSlipSouth -> 0.950000: (rowAgent'=rowAgent+1) + 0.050000: true;
+ [Agent_move_South] viewAgent=1 & AgentIsOnSlipperyNorth & AgentCannotSlipSouth -> 1.000000: true;
+ [Agent_turn_right] AgentIsOnSlipperyNorth & !AgentCannotSlipNorth & true -> 0.950000: (viewAgent'=mod(viewAgent+1,4)) + 0.050000: (rowAgent'=rowAgent-1);
+ [Agent_turn_right] AgentIsOnSlipperyNorth & AgentCannotSlipNorth & true -> 1.000000: (viewAgent'=mod(viewAgent+1,4));
+ [Agent_turn_left] AgentIsOnSlipperyNorth & !AgentCannotSlipNorth & viewAgent>0 -> 0.950000: (viewAgent'=viewAgent-1) + 0.050000: (rowAgent'=rowAgent-1);
+ [Agent_turn_left] AgentIsOnSlipperyNorth & !AgentCannotSlipNorth & viewAgent=0 -> 0.950000: (viewAgent'=3) + 0.050000: (rowAgent'=rowAgent-1);
+ [Agent_turn_left] AgentIsOnSlipperyNorth & AgentCannotSlipNorth & viewAgent>0 -> 1.000000: (viewAgent'=viewAgent-1);
+ [Agent_turn_left] AgentIsOnSlipperyNorth & AgentCannotSlipNorth & viewAgent=0 -> 1.000000: (viewAgent'=3);
+ [Agent_move_East] viewAgent=0 & AgentIsOnSlipperyEast & !AgentCannotSlipEast & !AgentCannotSlipSouthEast & !AgentCannotSlipNorthEast -> 0.950000: (colAgent'=colAgent+1) + 0.025000: (colAgent'=colAgent+1)&(rowAgent'=rowAgent+1) + 0.025000: (colAgent'=colAgent+1)&(rowAgent'=rowAgent-1);
+ [Agent_move_East] viewAgent=0 & AgentIsOnSlipperyEast & AgentCannotSlipEast & !AgentCannotSlipSouthEast & !AgentCannotSlipNorthEast -> 0.000000: (colAgent'=colAgent+1)&(rowAgent'=rowAgent+1) + 0.000000: (colAgent'=colAgent+1)&(rowAgent'=rowAgent-1);
+ [Agent_move_East] viewAgent=0 & AgentIsOnSlipperyEast & !AgentCannotSlipEast & AgentCannotSlipSouthEast & !AgentCannotSlipNorthEast -> 0.950000: (colAgent'=colAgent+1) + 0.050000: (colAgent'=colAgent+1)&(rowAgent'=rowAgent-1);
+ [Agent_move_East] viewAgent=0 & AgentIsOnSlipperyEast & !AgentCannotSlipEast & !AgentCannotSlipSouthEast & AgentCannotSlipNorthEast -> 0.950000: (colAgent'=colAgent+1) + 0.050000: (colAgent'=colAgent+1)&(rowAgent'=rowAgent+1);
+ [Agent_move_East] viewAgent=0 & AgentIsOnSlipperyEast & AgentCannotSlipEast & AgentCannotSlipSouthEast & !AgentCannotSlipNorthEast -> 1.000000: (colAgent'=colAgent+1)&(rowAgent'=rowAgent-1);
+ [Agent_move_East] viewAgent=0 & AgentIsOnSlipperyEast & !AgentCannotSlipEast & AgentCannotSlipSouthEast & AgentCannotSlipNorthEast -> 1.000000: (colAgent'=colAgent+1);
+ [Agent_move_East] viewAgent=0 & AgentIsOnSlipperyEast & AgentCannotSlipEast & !AgentCannotSlipSouthEast & AgentCannotSlipNorthEast -> 1.000000: (colAgent'=colAgent+1)&(rowAgent'=rowAgent+1);
+ [Agent_move_East] viewAgent=0 & AgentIsOnSlipperyEast & AgentCannotSlipEast & AgentCannotSlipSouthEast & AgentCannotSlipNorthEast -> true;
+ [Agent_move_North] viewAgent=3 & AgentIsOnSlipperyEast & !AgentCannotSlipNorth & !AgentCannotSlipNorthEast -> 0.950000: (rowAgent'=rowAgent-1) + 0.050000: (colAgent'=colAgent+1)&(rowAgent'=rowAgent-1);
+ [Agent_move_North] viewAgent=3 & AgentIsOnSlipperyEast & AgentCannotSlipNorth & !AgentCannotSlipNorthEast -> 1.000000: (colAgent'=colAgent+1)&(rowAgent'=rowAgent-1);
+ [Agent_move_North] viewAgent=3 & AgentIsOnSlipperyEast & !AgentCannotSlipNorth & AgentCannotSlipNorthEast -> 1.000000: (rowAgent'=rowAgent-1);
+ [Agent_move_North] viewAgent=3 & AgentIsOnSlipperyEast & AgentCannotSlipNorth & AgentCannotSlipNorthEast -> true;
+ [Agent_move_South] viewAgent=1 & AgentIsOnSlipperyEast & !AgentCannotSlipSouth & !AgentCannotSlipSouthEast -> 0.950000: (rowAgent'=rowAgent+1) + 0.050000: (colAgent'=colAgent+1)&(rowAgent'=rowAgent+1);
+ [Agent_move_South] viewAgent=1 & AgentIsOnSlipperyEast & AgentCannotSlipSouth & !AgentCannotSlipSouthEast -> 1.000000: (colAgent'=colAgent+1)&(rowAgent'=rowAgent+1);
+ [Agent_move_South] viewAgent=1 & AgentIsOnSlipperyEast & !AgentCannotSlipSouth & AgentCannotSlipSouthEast -> 1.000000: (rowAgent'=rowAgent+1);
+ [Agent_move_South] viewAgent=1 & AgentIsOnSlipperyEast & AgentCannotSlipSouth & AgentCannotSlipSouthEast -> true;
+ [Agent_move_West] viewAgent=2 & AgentIsOnSlipperyEast & !AgentCannotSlipEast -> 0.950000: (colAgent'=colAgent+1) + 0.050000: true;
+ [Agent_move_West] viewAgent=2 & AgentIsOnSlipperyEast & AgentCannotSlipEast -> 1.000000: true;
+ [Agent_turn_right] AgentIsOnSlipperyEast & !AgentCannotSlipEast & true -> 0.950000: (viewAgent'=mod(viewAgent+1,4)) + 0.050000: (colAgent'=colAgent+1);
+ [Agent_turn_right] AgentIsOnSlipperyEast & AgentCannotSlipEast & true -> 1.000000: (viewAgent'=mod(viewAgent+1,4));
+ [Agent_turn_left] AgentIsOnSlipperyEast & !AgentCannotSlipEast & viewAgent>0 -> 0.950000: (viewAgent'=viewAgent-1) + 0.050000: (colAgent'=colAgent+1);
+ [Agent_turn_left] AgentIsOnSlipperyEast & !AgentCannotSlipEast & viewAgent=0 -> 0.950000: (viewAgent'=3) + 0.050000: (colAgent'=colAgent+1);
+ [Agent_turn_left] AgentIsOnSlipperyEast & AgentCannotSlipEast & viewAgent>0 -> 1.000000: (viewAgent'=viewAgent-1);
+ [Agent_turn_left] AgentIsOnSlipperyEast & AgentCannotSlipEast & viewAgent=0 -> 1.000000: (viewAgent'=3);
+ [Agent_move_South] viewAgent=1 & AgentIsOnSlipperySouth & !AgentCannotSlipSouth & !AgentCannotSlipSouthEast & !AgentCannotSlipSouthWest -> 0.950000: (rowAgent'=rowAgent+1) + 0.025000: (rowAgent'=rowAgent+1)&(colAgent'=colAgent+1) + 0.025000: (rowAgent'=rowAgent+1)&(colAgent'=colAgent-1);
+ [Agent_move_South] viewAgent=1 & AgentIsOnSlipperySouth & AgentCannotSlipSouth & !AgentCannotSlipSouthEast & !AgentCannotSlipSouthWest -> 0.000000: (rowAgent'=rowAgent+1)&(colAgent'=colAgent+1) + 0.000000: (rowAgent'=rowAgent+1)&(colAgent'=colAgent-1);
+ [Agent_move_South] viewAgent=1 & AgentIsOnSlipperySouth & !AgentCannotSlipSouth & AgentCannotSlipSouthEast & !AgentCannotSlipSouthWest -> 0.950000: (rowAgent'=rowAgent+1) + 0.050000: (rowAgent'=rowAgent+1)&(colAgent'=colAgent-1);
+ [Agent_move_South] viewAgent=1 & AgentIsOnSlipperySouth & !AgentCannotSlipSouth & !AgentCannotSlipSouthEast & AgentCannotSlipSouthWest -> 0.950000: (rowAgent'=rowAgent+1) + 0.050000: (rowAgent'=rowAgent+1)&(colAgent'=colAgent+1);
+ [Agent_move_South] viewAgent=1 & AgentIsOnSlipperySouth & AgentCannotSlipSouth & AgentCannotSlipSouthEast & !AgentCannotSlipSouthWest -> 1.000000: (rowAgent'=rowAgent+1)&(colAgent'=colAgent-1);
+ [Agent_move_South] viewAgent=1 & AgentIsOnSlipperySouth & !AgentCannotSlipSouth & AgentCannotSlipSouthEast & AgentCannotSlipSouthWest -> 1.000000: (rowAgent'=rowAgent+1);
+ [Agent_move_South] viewAgent=1 & AgentIsOnSlipperySouth & AgentCannotSlipSouth & !AgentCannotSlipSouthEast & AgentCannotSlipSouthWest -> 1.000000: (rowAgent'=rowAgent+1)&(colAgent'=colAgent+1);
+ [Agent_move_South] viewAgent=1 & AgentIsOnSlipperySouth & AgentCannotSlipSouth & AgentCannotSlipSouthEast & AgentCannotSlipSouthWest -> true;
+ [Agent_move_West] viewAgent=2 & AgentIsOnSlipperySouth & !AgentCannotSlipWest & !AgentCannotSlipSouthWest -> 0.950000: (colAgent'=colAgent-1) + 0.050000: (colAgent'=colAgent-1)&(rowAgent'=rowAgent+1);
+ [Agent_move_West] viewAgent=2 & AgentIsOnSlipperySouth & AgentCannotSlipWest & !AgentCannotSlipSouthWest -> 1.000000: (colAgent'=colAgent-1)&(rowAgent'=rowAgent+1);
+ [Agent_move_West] viewAgent=2 & AgentIsOnSlipperySouth & !AgentCannotSlipWest & AgentCannotSlipSouthWest -> 1.000000: (colAgent'=colAgent-1);
+ [Agent_move_West] viewAgent=2 & AgentIsOnSlipperySouth & AgentCannotSlipWest & AgentCannotSlipSouthWest -> true;
+ [Agent_move_East] viewAgent=0 & AgentIsOnSlipperySouth & !AgentCannotSlipEast & !AgentCannotSlipSouthEast -> 0.950000: (colAgent'=colAgent+1) + 0.050000: (colAgent'=colAgent+1)&(rowAgent'=rowAgent+1);
+ [Agent_move_East] viewAgent=0 & AgentIsOnSlipperySouth & AgentCannotSlipEast & !AgentCannotSlipSouthEast -> 1.000000: (colAgent'=colAgent+1)&(rowAgent'=rowAgent+1);
+ [Agent_move_East] viewAgent=0 & AgentIsOnSlipperySouth & !AgentCannotSlipEast & AgentCannotSlipSouthEast -> 1.000000: (colAgent'=colAgent+1);
+ [Agent_move_East] viewAgent=0 & AgentIsOnSlipperySouth & AgentCannotSlipEast & AgentCannotSlipSouthEast -> true;
+ [Agent_move_North] viewAgent=3 & AgentIsOnSlipperySouth & !AgentCannotSlipSouth -> 0.950000: (rowAgent'=rowAgent-1) + 0.050000: true;
+ [Agent_move_North] viewAgent=3 & AgentIsOnSlipperySouth & AgentCannotSlipSouth -> 1.000000: true;
+ [Agent_turn_right] AgentIsOnSlipperySouth & !AgentCannotSlipSouth & true -> 0.950000: (viewAgent'=mod(viewAgent+1,4)) + 0.050000: (rowAgent'=rowAgent+1);
+ [Agent_turn_right] AgentIsOnSlipperySouth & AgentCannotSlipSouth & true -> 1.000000: (viewAgent'=mod(viewAgent+1,4));
+ [Agent_turn_left] AgentIsOnSlipperySouth & !AgentCannotSlipSouth & viewAgent>0 -> 0.950000: (viewAgent'=viewAgent-1) + 0.050000: (rowAgent'=rowAgent+1);
+ [Agent_turn_left] AgentIsOnSlipperySouth & !AgentCannotSlipSouth & viewAgent=0 -> 0.950000: (viewAgent'=3) + 0.050000: (rowAgent'=rowAgent+1);
+ [Agent_turn_left] AgentIsOnSlipperySouth & AgentCannotSlipSouth & viewAgent>0 -> 1.000000: (viewAgent'=viewAgent-1);
+ [Agent_turn_left] AgentIsOnSlipperySouth & AgentCannotSlipSouth & viewAgent=0 -> 1.000000: (viewAgent'=3);
+ [Agent_move_West] viewAgent=2 & AgentIsOnSlipperyWest & !AgentCannotSlipWest & !AgentCannotSlipSouthWest & !AgentCannotSlipNorthWest -> 0.950000: (colAgent'=colAgent-1) + 0.025000: (colAgent'=colAgent-1)&(rowAgent'=rowAgent+1) + 0.025000: (colAgent'=colAgent-1)&(rowAgent'=rowAgent-1);
+ [Agent_move_West] viewAgent=2 & AgentIsOnSlipperyWest & AgentCannotSlipWest & !AgentCannotSlipSouthWest & !AgentCannotSlipNorthWest -> 0.000000: (colAgent'=colAgent-1)&(rowAgent'=rowAgent+1) + 0.000000: (colAgent'=colAgent-1)&(rowAgent'=rowAgent-1);
+ [Agent_move_West] viewAgent=2 & AgentIsOnSlipperyWest & !AgentCannotSlipWest & AgentCannotSlipSouthWest & !AgentCannotSlipNorthWest -> 0.950000: (colAgent'=colAgent-1) + 0.050000: (colAgent'=colAgent-1)&(rowAgent'=rowAgent-1);
+ [Agent_move_West] viewAgent=2 & AgentIsOnSlipperyWest & !AgentCannotSlipWest & !AgentCannotSlipSouthWest & AgentCannotSlipNorthWest -> 0.950000: (colAgent'=colAgent-1) + 0.050000: (colAgent'=colAgent-1)&(rowAgent'=rowAgent+1);
+ [Agent_move_West] viewAgent=2 & AgentIsOnSlipperyWest & AgentCannotSlipWest & AgentCannotSlipSouthWest & !AgentCannotSlipNorthWest -> 1.000000: (colAgent'=colAgent-1)&(rowAgent'=rowAgent-1);
+ [Agent_move_West] viewAgent=2 & AgentIsOnSlipperyWest & !AgentCannotSlipWest & AgentCannotSlipSouthWest & AgentCannotSlipNorthWest -> 1.000000: (colAgent'=colAgent-1);
+ [Agent_move_West] viewAgent=2 & AgentIsOnSlipperyWest & AgentCannotSlipWest & !AgentCannotSlipSouthWest & AgentCannotSlipNorthWest -> 1.000000: (colAgent'=colAgent-1)&(rowAgent'=rowAgent+1);
+ [Agent_move_West] viewAgent=2 & AgentIsOnSlipperyWest & AgentCannotSlipWest & AgentCannotSlipSouthWest & AgentCannotSlipNorthWest -> true;
+ [Agent_move_North] viewAgent=3 & AgentIsOnSlipperyWest & !AgentCannotSlipNorth & !AgentCannotSlipNorthWest -> 0.950000: (rowAgent'=rowAgent-1) + 0.050000: (colAgent'=colAgent-1)&(rowAgent'=rowAgent-1);
+ [Agent_move_North] viewAgent=3 & AgentIsOnSlipperyWest & AgentCannotSlipNorth & !AgentCannotSlipNorthWest -> 1.000000: (colAgent'=colAgent-1)&(rowAgent'=rowAgent-1);
+ [Agent_move_North] viewAgent=3 & AgentIsOnSlipperyWest & !AgentCannotSlipNorth & AgentCannotSlipNorthWest -> 1.000000: (rowAgent'=rowAgent-1);
+ [Agent_move_North] viewAgent=3 & AgentIsOnSlipperyWest & AgentCannotSlipNorth & AgentCannotSlipNorthWest -> true;
+ [Agent_move_South] viewAgent=1 & AgentIsOnSlipperyWest & !AgentCannotSlipSouth & !AgentCannotSlipSouthWest -> 0.950000: (rowAgent'=rowAgent+1) + 0.050000: (colAgent'=colAgent-1)&(rowAgent'=rowAgent+1);
+ [Agent_move_South] viewAgent=1 & AgentIsOnSlipperyWest & AgentCannotSlipSouth & !AgentCannotSlipSouthWest -> 1.000000: (colAgent'=colAgent-1)&(rowAgent'=rowAgent+1);
+ [Agent_move_South] viewAgent=1 & AgentIsOnSlipperyWest & !AgentCannotSlipSouth & AgentCannotSlipSouthWest -> 1.000000: (rowAgent'=rowAgent+1);
+ [Agent_move_South] viewAgent=1 & AgentIsOnSlipperyWest & AgentCannotSlipSouth & AgentCannotSlipSouthWest -> true;
+ [Agent_move_East] viewAgent=0 & AgentIsOnSlipperyWest & !AgentCannotSlipWest -> 0.950000: (colAgent'=colAgent-1) + 0.050000: true;
+ [Agent_move_East] viewAgent=0 & AgentIsOnSlipperyWest & AgentCannotSlipWest -> 1.000000: true;
+ [Agent_turn_right] AgentIsOnSlipperyWest & !AgentCannotSlipWest & true -> 0.950000: (viewAgent'=mod(viewAgent+1,4)) + 0.050000: (colAgent'=colAgent-1);
+ [Agent_turn_right] AgentIsOnSlipperyWest & AgentCannotSlipWest & true -> 1.000000: (viewAgent'=mod(viewAgent+1,4));
+ [Agent_turn_left] AgentIsOnSlipperyWest & !AgentCannotSlipWest & viewAgent>0 -> 0.950000: (viewAgent'=viewAgent-1) + 0.050000: (colAgent'=colAgent-1);
+ [Agent_turn_left] AgentIsOnSlipperyWest & !AgentCannotSlipWest & viewAgent=0 -> 0.950000: (viewAgent'=3) + 0.050000: (colAgent'=colAgent-1);
+ [Agent_turn_left] AgentIsOnSlipperyWest & AgentCannotSlipWest & viewAgent>0 -> 1.000000: (viewAgent'=viewAgent-1);
+ [Agent_turn_left] AgentIsOnSlipperyWest & AgentCannotSlipWest & viewAgent=0 -> 1.000000: (viewAgent'=3);
+ [Agent_move_East] viewAgent=0 & AgentIsOnSlipperyNorthEast & !AgentCannotSlipNorthEast & !AgentCannotSlipEast -> 0.950000: (colAgent'=colAgent+1) + 0.050000: (rowAgent'=rowAgent-1)&(colAgent'=colAgent+1);
+ [Agent_move_East] viewAgent=0 & AgentIsOnSlipperyNorthEast & !AgentCannotSlipNorthEast & AgentCannotSlipEast -> 1.000000: (rowAgent'=rowAgent-1)&(colAgent'=colAgent+1);
+ [Agent_move_East] viewAgent=0 & AgentIsOnSlipperyNorthEast & AgentCannotSlipNorthEast & !AgentCannotSlipEast -> 1.000000: (colAgent'=colAgent+1);
+ [Agent_move_East] viewAgent=0 & AgentIsOnSlipperyNorthEast & AgentCannotSlipNorthEast & AgentCannotSlipEast -> 1.000000: true;
+ [Agent_move_North] viewAgent=3 & AgentIsOnSlipperyNorthEast & !AgentCannotSlipNorthEast & !AgentCannotSlipNorth -> 0.950000: (rowAgent'=rowAgent-1) + 0.050000: (colAgent'=colAgent+1)&(rowAgent'=rowAgent-1);
+ [Agent_move_North] viewAgent=3 & AgentIsOnSlipperyNorthEast & !AgentCannotSlipNorthEast & AgentCannotSlipNorth -> 1.000000: (rowAgent'=rowAgent-1)&(colAgent'=colAgent+1);
+ [Agent_move_North] viewAgent=3 & AgentIsOnSlipperyNorthEast & AgentCannotSlipNorthEast & !AgentCannotSlipNorth -> 1.000000: (rowAgent'=rowAgent-1);
+ [Agent_move_North] viewAgent=3 & AgentIsOnSlipperyNorthEast & AgentCannotSlipNorthEast & AgentCannotSlipNorth -> 1.000000: true;
+ [Agent_move_South] viewAgent=1 & AgentIsOnSlipperyNorthEast & !AgentCannotSlipNorthEast & !AgentCannotSlipEast & !AgentCannotSlipSouthEast & !AgentCannotSlipSouth -> 0.950000: (rowAgent'=rowAgent+1) + 0.016667: (rowAgent'=rowAgent-1)&(colAgent'=colAgent+1) + 0.016667: (colAgent'=colAgent+1) + 0.016667: (rowAgent'=rowAgent+1)&(colAgent'=colAgent+1);
+ [Agent_move_South] viewAgent=1 & AgentIsOnSlipperyNorthEast & !AgentCannotSlipNorthEast & !AgentCannotSlipEast & !AgentCannotSlipSouthEast & AgentCannotSlipSouth -> 0.333333: (rowAgent'=rowAgent-1)&(colAgent'=colAgent+1) + 0.333333: (colAgent'=colAgent+1) + 0.333333: (rowAgent'=rowAgent+1)&(colAgent'=colAgent+1);
+ [Agent_move_South] viewAgent=1 & AgentIsOnSlipperyNorthEast & !AgentCannotSlipNorthEast & !AgentCannotSlipEast & AgentCannotSlipSouthEast & !AgentCannotSlipSouth -> 0.982759: (rowAgent'=rowAgent+1) + 0.050847: (rowAgent'=rowAgent-1)&(colAgent'=colAgent+1) + 0.050847: (colAgent'=colAgent+1);
+ [Agent_move_South] viewAgent=1 & AgentIsOnSlipperyNorthEast & !AgentCannotSlipNorthEast & !AgentCannotSlipEast & AgentCannotSlipSouthEast & AgentCannotSlipSouth -> 0.500000: (rowAgent'=rowAgent-1)&(colAgent'=colAgent+1) + 0.500000: (colAgent'=colAgent+1);
+ [Agent_move_South] viewAgent=1 & AgentIsOnSlipperyNorthEast & !AgentCannotSlipNorthEast & AgentCannotSlipEast & !AgentCannotSlipSouthEast & !AgentCannotSlipSouth -> 0.982759: (rowAgent'=rowAgent+1) + 0.050847: (rowAgent'=rowAgent-1)&(colAgent'=colAgent+1) + 0.050847: (rowAgent'=rowAgent+1)&(colAgent'=colAgent+1);
+ [Agent_move_South] viewAgent=1 & AgentIsOnSlipperyNorthEast & !AgentCannotSlipNorthEast & AgentCannotSlipEast & !AgentCannotSlipSouthEast & AgentCannotSlipSouth -> 0.500000: (rowAgent'=rowAgent-1)&(colAgent'=colAgent+1) + 0.500000: (rowAgent'=rowAgent+1)&(colAgent'=colAgent+1);
+ [Agent_move_South] viewAgent=1 & AgentIsOnSlipperyNorthEast & !AgentCannotSlipNorthEast & AgentCannotSlipEast & AgentCannotSlipSouthEast & !AgentCannotSlipSouth -> 0.982759: (rowAgent'=rowAgent+1) + 0.051724: (rowAgent'=rowAgent-1)&(colAgent'=colAgent+1);
+ [Agent_move_South] viewAgent=1 & AgentIsOnSlipperyNorthEast & !AgentCannotSlipNorthEast & AgentCannotSlipEast & AgentCannotSlipSouthEast & AgentCannotSlipSouth -> 1.000000: (rowAgent'=rowAgent-1)&(colAgent'=colAgent+1);
+ [Agent_move_South] viewAgent=1 & AgentIsOnSlipperyNorthEast & AgentCannotSlipNorthEast & !AgentCannotSlipEast & !AgentCannotSlipSouthEast & !AgentCannotSlipSouth -> 0.982759: (rowAgent'=rowAgent+1) + 0.050847: (colAgent'=colAgent+1) + 0.050847: (rowAgent'=rowAgent+1)&(colAgent'=colAgent+1);
+ [Agent_move_South] viewAgent=1 & AgentIsOnSlipperyNorthEast & AgentCannotSlipNorthEast & !AgentCannotSlipEast & !AgentCannotSlipSouthEast & AgentCannotSlipSouth -> 0.500000: (colAgent'=colAgent+1) + 0.500000: (rowAgent'=rowAgent+1)&(colAgent'=colAgent+1);
+ [Agent_move_South] viewAgent=1 & AgentIsOnSlipperyNorthEast & AgentCannotSlipNorthEast & !AgentCannotSlipEast & AgentCannotSlipSouthEast & !AgentCannotSlipSouth -> 0.982759: (rowAgent'=rowAgent+1) + 0.051724: (colAgent'=colAgent+1);
+ [Agent_move_South] viewAgent=1 & AgentIsOnSlipperyNorthEast & AgentCannotSlipNorthEast & !AgentCannotSlipEast & AgentCannotSlipSouthEast & AgentCannotSlipSouth -> 1.000000: (colAgent'=colAgent+1);
+ [Agent_move_South] viewAgent=1 & AgentIsOnSlipperyNorthEast & AgentCannotSlipNorthEast & AgentCannotSlipEast & !AgentCannotSlipSouthEast & !AgentCannotSlipSouth -> 0.982759: (rowAgent'=rowAgent+1) + 0.051724: (rowAgent'=rowAgent+1)&(colAgent'=colAgent+1);
+ [Agent_move_South] viewAgent=1 & AgentIsOnSlipperyNorthEast & AgentCannotSlipNorthEast & AgentCannotSlipEast & !AgentCannotSlipSouthEast & AgentCannotSlipSouth -> 1.000000: (rowAgent'=rowAgent+1)&(colAgent'=colAgent+1);
+ [Agent_move_South] viewAgent=1 & AgentIsOnSlipperyNorthEast & AgentCannotSlipNorthEast & AgentCannotSlipEast & AgentCannotSlipSouthEast & !AgentCannotSlipSouth -> 1.000000: (rowAgent'=rowAgent+1);
+ [Agent_move_South] viewAgent=1 & AgentIsOnSlipperyNorthEast & AgentCannotSlipNorthEast & AgentCannotSlipEast & AgentCannotSlipSouthEast & AgentCannotSlipSouth -> 1.000000: true;
+ [Agent_move_West] viewAgent=2 & AgentIsOnSlipperyNorthEast & !AgentCannotSlipWest & !AgentCannotSlipNorthWest & !AgentCannotSlipNorth & !AgentCannotSlipNorthEast -> 0.950000: (colAgent'=colAgent-1) + 0.016667: (rowAgent'=rowAgent-1)&(colAgent'=colAgent-1) + 0.016667: (rowAgent'=rowAgent-1) + 0.016667: (rowAgent'=rowAgent-1)&(colAgent'=colAgent+1);
+ [Agent_move_West] viewAgent=2 & AgentIsOnSlipperyNorthEast & !AgentCannotSlipWest & !AgentCannotSlipNorthWest & !AgentCannotSlipNorth & AgentCannotSlipNorthEast -> 0.966102: (colAgent'=colAgent-1) + 0.050847: (rowAgent'=rowAgent-1)&(colAgent'=colAgent-1) + 0.050847: (rowAgent'=rowAgent-1);
+ [Agent_move_West] viewAgent=2 & AgentIsOnSlipperyNorthEast & !AgentCannotSlipWest & !AgentCannotSlipNorthWest & AgentCannotSlipNorth & !AgentCannotSlipNorthEast -> 0.966102: (colAgent'=colAgent-1) + 0.050847: (rowAgent'=rowAgent-1)&(colAgent'=colAgent-1) + 0.050847: (rowAgent'=rowAgent-1)&(colAgent'=colAgent+1);
+ [Agent_move_West] viewAgent=2 & AgentIsOnSlipperyNorthEast & !AgentCannotSlipWest & !AgentCannotSlipNorthWest & AgentCannotSlipNorth & AgentCannotSlipNorthEast -> 0.982759: (colAgent'=colAgent-1) + 0.051724: (rowAgent'=rowAgent-1)&(colAgent'=colAgent-1);
+ [Agent_move_West] viewAgent=2 & AgentIsOnSlipperyNorthEast & !AgentCannotSlipWest & AgentCannotSlipNorthWest & !AgentCannotSlipNorth & !AgentCannotSlipNorthEast -> 0.966102: (colAgent'=colAgent-1) + 0.050847: (rowAgent'=rowAgent-1) + 0.050847: (rowAgent'=rowAgent-1)&(colAgent'=colAgent+1);
+ [Agent_move_West] viewAgent=2 & AgentIsOnSlipperyNorthEast & !AgentCannotSlipWest & AgentCannotSlipNorthWest & !AgentCannotSlipNorth & AgentCannotSlipNorthEast -> 0.982759: (colAgent'=colAgent-1) + 0.051724: (rowAgent'=rowAgent-1);
+ [Agent_move_West] viewAgent=2 & AgentIsOnSlipperyNorthEast & !AgentCannotSlipWest & AgentCannotSlipNorthWest & AgentCannotSlipNorth & !AgentCannotSlipNorthEast -> 0.982759: (colAgent'=colAgent-1) + 0.051724: (rowAgent'=rowAgent-1)&(colAgent'=colAgent+1);
+ [Agent_move_West] viewAgent=2 & AgentIsOnSlipperyNorthEast & !AgentCannotSlipWest & AgentCannotSlipNorthWest & AgentCannotSlipNorth & AgentCannotSlipNorthEast -> 1.000000: (colAgent'=colAgent-1);
+ [Agent_move_West] viewAgent=2 & AgentIsOnSlipperyNorthEast & AgentCannotSlipWest & !AgentCannotSlipNorthWest & !AgentCannotSlipNorth & !AgentCannotSlipNorthEast -> 0.333333: (rowAgent'=rowAgent-1)&(colAgent'=colAgent-1) + 0.333333: (rowAgent'=rowAgent-1) + 0.333333: (rowAgent'=rowAgent-1)&(colAgent'=colAgent+1);
+ [Agent_move_West] viewAgent=2 & AgentIsOnSlipperyNorthEast & AgentCannotSlipWest & !AgentCannotSlipNorthWest & !AgentCannotSlipNorth & AgentCannotSlipNorthEast -> 0.500000: (rowAgent'=rowAgent-1)&(colAgent'=colAgent-1) + 0.500000: (rowAgent'=rowAgent-1);
+ [Agent_move_West] viewAgent=2 & AgentIsOnSlipperyNorthEast & AgentCannotSlipWest & !AgentCannotSlipNorthWest & AgentCannotSlipNorth & !AgentCannotSlipNorthEast -> 0.500000: (rowAgent'=rowAgent-1)&(colAgent'=colAgent-1) + 0.500000: (rowAgent'=rowAgent-1)&(colAgent'=colAgent+1);
+ [Agent_move_West] viewAgent=2 & AgentIsOnSlipperyNorthEast & AgentCannotSlipWest & !AgentCannotSlipNorthWest & AgentCannotSlipNorth & AgentCannotSlipNorthEast -> 1.000000: (rowAgent'=rowAgent-1)&(colAgent'=colAgent-1);
+ [Agent_move_West] viewAgent=2 & AgentIsOnSlipperyNorthEast & AgentCannotSlipWest & AgentCannotSlipNorthWest & !AgentCannotSlipNorth & !AgentCannotSlipNorthEast -> 0.500000: (rowAgent'=rowAgent-1) + 0.500000: (rowAgent'=rowAgent-1)&(colAgent'=colAgent+1);
+ [Agent_move_West] viewAgent=2 & AgentIsOnSlipperyNorthEast & AgentCannotSlipWest & AgentCannotSlipNorthWest & !AgentCannotSlipNorth & AgentCannotSlipNorthEast -> 1.000000: (rowAgent'=rowAgent-1);
+ [Agent_move_West] viewAgent=2 & AgentIsOnSlipperyNorthEast & AgentCannotSlipWest & AgentCannotSlipNorthWest & AgentCannotSlipNorth & !AgentCannotSlipNorthEast -> 1.000000: (rowAgent'=rowAgent-1)&(colAgent'=colAgent+1);
+ [Agent_move_West] viewAgent=2 & AgentIsOnSlipperyNorthEast & AgentCannotSlipWest & AgentCannotSlipNorthWest & AgentCannotSlipNorth & AgentCannotSlipNorthEast -> 1.000000: true;
+ [Agent_turn_right] AgentIsOnSlipperyNorthEast & true & true -> 1.000000: (viewAgent'=mod(viewAgent+1,4));
+ [Agent_turn_left] AgentIsOnSlipperyNorthEast & true & viewAgent>0 -> 1.000000: (viewAgent'=viewAgent-1);
+ [Agent_turn_left] AgentIsOnSlipperyNorthEast & true & viewAgent=0 -> 1.000000: (viewAgent'=3);
+endmodule
+
diff --git a/notebooks/shielding_files_20241129T122458_wavsk47p/grid.txt b/notebooks/shielding_files_20241129T122458_wavsk47p/grid.txt
new file mode 100644
index 0000000..262c484
--- /dev/null
+++ b/notebooks/shielding_files_20241129T122458_wavsk47p/grid.txt
@@ -0,0 +1,49 @@
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+------------------------------------------------------
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+------------------------------------------------------
+------------------------------------------------------
+ProbTurnIntended:0.95
+ProbForwardIntended:0.95
diff --git a/notebooks/shielding_files_20241129T122458_wavsk47p/shield b/notebooks/shielding_files_20241129T122458_wavsk47p/shield
new file mode 100644
index 0000000..2466009
--- /dev/null
+++ b/notebooks/shielding_files_20241129T122458_wavsk47p/shield
@@ -0,0 +1,1578 @@
+___________________________________________________________________
+Pre-Safety-Shield with absolute comparison (gamma = 0.990000):
+ model state: choice(s) [<value>: (<action {action label})>]:
+ 0: [colAgent=1 & rowAgent=1 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1: [colAgent=2 & rowAgent=1 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 2: [colAgent=3 & rowAgent=1 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
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+ 1783: [colAgent=8 & rowAgent=18 & viewAgent=3] 1: (0 {Agent_move_North}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1784: [colAgent=9 & rowAgent=18 & viewAgent=3] 1: (0 {Agent_move_North}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1785: [colAgent=10 & rowAgent=18 & viewAgent=3] 1: (0 {Agent_move_North}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1786: [colAgent=11 & rowAgent=18 & viewAgent=3] 1: (0 {Agent_move_North}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1787: [colAgent=12 & rowAgent=18 & viewAgent=3] 1: (0 {Agent_move_North}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1788: [colAgent=13 & rowAgent=18 & viewAgent=3] 1: (0 {Agent_move_North}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1789: [colAgent=14 & rowAgent=18 & viewAgent=3] 1: (0 {Agent_move_North}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1790: [colAgent=15 & rowAgent=18 & viewAgent=3] 1: (0 {Agent_move_North}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1791: [colAgent=16 & rowAgent=18 & viewAgent=3] 1: (0 {Agent_move_North}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1792: [colAgent=17 & rowAgent=18 & viewAgent=3] 1: (0 {Agent_move_North}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1793: [colAgent=18 & rowAgent=18 & viewAgent=3] 1: (0 {Agent_move_North}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1794: [colAgent=19 & rowAgent=18 & viewAgent=3] 1: (0 {Agent_move_North}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1795: [colAgent=20 & rowAgent=18 & viewAgent=3] 1: (0 {Agent_move_North}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1796: [colAgent=21 & rowAgent=18 & viewAgent=3] 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1797: [colAgent=22 & rowAgent=18 & viewAgent=3] 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1798: [colAgent=23 & rowAgent=18 & viewAgent=3] 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
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+ 1816: [colAgent=17 & rowAgent=19 & viewAgent=3] 1: (0 {Agent_move_North}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1817: [colAgent=18 & rowAgent=19 & viewAgent=3] 1: (0 {Agent_move_North}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1818: [colAgent=19 & rowAgent=19 & viewAgent=3] 1: (0 {Agent_move_North}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
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+ 1827: [colAgent=4 & rowAgent=20 & viewAgent=3] 1: (0 {Agent_move_North}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1828: [colAgent=5 & rowAgent=20 & viewAgent=3] 1: (0 {Agent_move_North}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
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+ 1830: [colAgent=7 & rowAgent=20 & viewAgent=3] 1: (0 {Agent_move_North}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
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+ 1840: [colAgent=17 & rowAgent=20 & viewAgent=3] 1: (0 {Agent_move_North}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
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+ 1886: [colAgent=23 & rowAgent=1 & viewAgent=3] 1: (0 {Agent_move_North}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
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+ 1888: [colAgent=24 & rowAgent=1 & viewAgent=3] 1: (0 {Agent_move_North}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1889: [colAgent=25 & rowAgent=1 & viewAgent=1] 1: (0 {Agent_move_South}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
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+ 1892: [colAgent=1 & rowAgent=1 & viewAgent=2] 1: (0 {Agent_move_West}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
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+ 1902: [colAgent=12 & rowAgent=1 & viewAgent=2] 1: (0 {Agent_move_West}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
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+ 1907: [colAgent=20 & rowAgent=1 & viewAgent=2] 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
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+ 1916: [colAgent=1 & rowAgent=6 & viewAgent=2] 1: (0 {Agent_move_West}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
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+ 1919: [colAgent=1 & rowAgent=12 & viewAgent=2] 1: (0 {Agent_move_West}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
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+ 1922: [colAgent=1 & rowAgent=15 & viewAgent=2] 1: (0 {Agent_move_West}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1923: [colAgent=1 & rowAgent=16 & viewAgent=2] 1: (0 {Agent_move_West}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1926: [colAgent=1 & rowAgent=2 & viewAgent=1] 1: (0 {Agent_move_South}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1927: [colAgent=11 & rowAgent=1 & viewAgent=2] 1: (0 {Agent_move_West}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1928: [colAgent=1 & rowAgent=2 & viewAgent=3] 1: (0 {Agent_move_North}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1929: [colAgent=1 & rowAgent=3 & viewAgent=3] 1: (0 {Agent_move_North}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1930: [colAgent=1 & rowAgent=3 & viewAgent=1] 1: (0 {Agent_move_South}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1931: [colAgent=1 & rowAgent=4 & viewAgent=3] 1: (0 {Agent_move_North}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1932: [colAgent=1 & rowAgent=4 & viewAgent=1] 1: (0 {Agent_move_South}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1933: [colAgent=1 & rowAgent=5 & viewAgent=3] 1: (0 {Agent_move_North}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1934: [colAgent=1 & rowAgent=5 & viewAgent=1] 1: (0 {Agent_move_South}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1935: [colAgent=1 & rowAgent=6 & viewAgent=3] 1: (0 {Agent_move_North}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1936: [colAgent=1 & rowAgent=6 & viewAgent=1] 1: (0 {Agent_move_South}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1937: [colAgent=1 & rowAgent=11 & viewAgent=3] 1: (0 {Agent_move_North}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1938: [colAgent=1 & rowAgent=11 & viewAgent=1] 1: (0 {Agent_move_South}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1939: [colAgent=1 & rowAgent=10 & viewAgent=3] 1: (0 {Agent_move_North}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1940: [colAgent=1 & rowAgent=10 & viewAgent=1] 1: (0 {Agent_move_South}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1941: [colAgent=1 & rowAgent=12 & viewAgent=3] 1: (0 {Agent_move_North}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1942: [colAgent=1 & rowAgent=12 & viewAgent=1] 1: (0 {Agent_move_South}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1943: [colAgent=1 & rowAgent=13 & viewAgent=3] 1: (0 {Agent_move_North}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1944: [colAgent=1 & rowAgent=13 & viewAgent=1] 1: (0 {Agent_move_South}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1945: [colAgent=1 & rowAgent=14 & viewAgent=3] 1: (0 {Agent_move_North}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1946: [colAgent=1 & rowAgent=14 & viewAgent=1] 1: (0 {Agent_move_South}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1947: [colAgent=1 & rowAgent=15 & viewAgent=3] 1: (0 {Agent_move_North}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1948: [colAgent=1 & rowAgent=15 & viewAgent=1] 1: (0 {Agent_move_South}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1949: [colAgent=1 & rowAgent=16 & viewAgent=3] 1: (0 {Agent_move_North}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1950: [colAgent=1 & rowAgent=16 & viewAgent=1] 1: (0 {Agent_move_South}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1951: [colAgent=1 & rowAgent=2 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1952: [colAgent=1 & rowAgent=3 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1953: [colAgent=1 & rowAgent=4 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1954: [colAgent=1 & rowAgent=5 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1955: [colAgent=1 & rowAgent=6 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1956: [colAgent=1 & rowAgent=7 & viewAgent=1] 1: (0 {Agent_move_South}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1957: [colAgent=1 & rowAgent=11 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1958: [colAgent=1 & rowAgent=9 & viewAgent=3] 1: (0 {Agent_move_North}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1959: [colAgent=1 & rowAgent=10 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1960: [colAgent=1 & rowAgent=12 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1961: [colAgent=1 & rowAgent=13 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1962: [colAgent=1 & rowAgent=14 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1963: [colAgent=1 & rowAgent=15 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1964: [colAgent=1 & rowAgent=16 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1965: [colAgent=1 & rowAgent=17 & viewAgent=1] 1: (0 {Agent_move_South}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1966: [colAgent=1 & rowAgent=8 & viewAgent=1] 1: (0 {Agent_move_South}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1967: [colAgent=1 & rowAgent=7 & viewAgent=2] 1: (0 {Agent_move_West}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1968: [colAgent=1 & rowAgent=7 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1969: [colAgent=1 & rowAgent=8 & viewAgent=3] 1: (0 {Agent_move_North}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1970: [colAgent=1 & rowAgent=9 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1971: [colAgent=1 & rowAgent=9 & viewAgent=2] 1: (0 {Agent_move_West}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1972: [colAgent=1 & rowAgent=18 & viewAgent=1] 1: (0 {Agent_move_South}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1973: [colAgent=1 & rowAgent=17 & viewAgent=2] 1: (0 {Agent_move_West}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1974: [colAgent=1 & rowAgent=17 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1975: [colAgent=1 & rowAgent=9 & viewAgent=1] 1: (0 {Agent_move_South}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1976: [colAgent=1 & rowAgent=8 & viewAgent=2] 1: (0 {Agent_move_West}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1977: [colAgent=1 & rowAgent=8 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1978: [colAgent=1 & rowAgent=7 & viewAgent=3] 1: (0 {Agent_move_North}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1979: [colAgent=1 & rowAgent=19 & viewAgent=1] 1: (0 {Agent_move_South}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1980: [colAgent=1 & rowAgent=18 & viewAgent=2] 1: (0 {Agent_move_West}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1981: [colAgent=1 & rowAgent=18 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1982: [colAgent=1 & rowAgent=17 & viewAgent=3] 1: (0 {Agent_move_North}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1983: [colAgent=1 & rowAgent=20 & viewAgent=1] 1: (0 {Agent_move_South}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1984: [colAgent=1 & rowAgent=19 & viewAgent=2] 1: (0 {Agent_move_West}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1985: [colAgent=1 & rowAgent=19 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1986: [colAgent=1 & rowAgent=18 & viewAgent=3] 1: (0 {Agent_move_North}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1987: [colAgent=1 & rowAgent=20 & viewAgent=2] 1: (0 {Agent_move_West}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1988: [colAgent=1 & rowAgent=20 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1989: [colAgent=1 & rowAgent=19 & viewAgent=3] 1: (0 {Agent_move_North}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1990: [colAgent=1 & rowAgent=20 & viewAgent=3] 1: (0 {Agent_move_North}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+___________________________________________________________________
diff --git a/notebooks/shielding_files_20241129T122500_n10bceo8/grid.prism b/notebooks/shielding_files_20241129T122500_n10bceo8/grid.prism
new file mode 100644
index 0000000..8535c1b
--- /dev/null
+++ b/notebooks/shielding_files_20241129T122500_n10bceo8/grid.prism
@@ -0,0 +1,183 @@
+mdp
+
+formula AgentCannotMoveEastWall = (colAgent=25&rowAgent=10) | (colAgent=25&rowAgent=14) | (colAgent=25&rowAgent=15) | (colAgent=25&rowAgent=16) | (colAgent=25&rowAgent=17);
+formula AgentCannotMoveNorthWall = (colAgent=16&rowAgent=1) | (colAgent=17&rowAgent=1) | (colAgent=18&rowAgent=1) | (colAgent=19&rowAgent=1);
+formula AgentCannotMoveSouthWall = false;
+formula AgentCannotMoveWestWall = (colAgent=1&rowAgent=4);
+formula AgentIsOnSlipperyEast = (colAgent=10&rowAgent=2) | (colAgent=11&rowAgent=2) | (colAgent=12&rowAgent=2) | (colAgent=16&rowAgent=3) | (colAgent=17&rowAgent=3) | (colAgent=18&rowAgent=3) | (colAgent=19&rowAgent=3) | (colAgent=16&rowAgent=6) | (colAgent=17&rowAgent=6) | (colAgent=18&rowAgent=6) | (colAgent=19&rowAgent=6) | (colAgent=20&rowAgent=6) | (colAgent=21&rowAgent=6) | (colAgent=22&rowAgent=6) | (colAgent=1&rowAgent=7) | (colAgent=2&rowAgent=7) | (colAgent=3&rowAgent=7) | (colAgent=4&rowAgent=7) | (colAgent=5&rowAgent=7) | (colAgent=6&rowAgent=7) | (colAgent=7&rowAgent=7) | (colAgent=8&rowAgent=7) | (colAgent=9&rowAgent=7) | (colAgent=10&rowAgent=7) | (colAgent=11&rowAgent=7) | (colAgent=1&rowAgent=8) | (colAgent=2&rowAgent=8) | (colAgent=3&rowAgent=8) | (colAgent=4&rowAgent=8) | (colAgent=5&rowAgent=8) | (colAgent=6&rowAgent=8) | (colAgent=7&rowAgent=8) | (colAgent=8&rowAgent=8) | (colAgent=1&rowAgent=9) | (colAgent=2&rowAgent=9) | (colAgent=3&rowAgent=9) | (colAgent=4&rowAgent=9) | (colAgent=5&rowAgent=9) | (colAgent=6&rowAgent=9) | (colAgent=7&rowAgent=9) | (colAgent=8&rowAgent=9) | (colAgent=1&rowAgent=10) | (colAgent=2&rowAgent=10) | (colAgent=3&rowAgent=10) | (colAgent=4&rowAgent=10) | (colAgent=5&rowAgent=10) | (colAgent=6&rowAgent=10) | (colAgent=7&rowAgent=10) | (colAgent=16&rowAgent=12) | (colAgent=17&rowAgent=12) | (colAgent=18&rowAgent=12) | (colAgent=19&rowAgent=12) | (colAgent=20&rowAgent=12) | (colAgent=21&rowAgent=12) | (colAgent=22&rowAgent=13) | (colAgent=23&rowAgent=13) | (colAgent=24&rowAgent=13) | (colAgent=25&rowAgent=13) | (colAgent=1&rowAgent=17) | (colAgent=2&rowAgent=17) | (colAgent=3&rowAgent=17) | (colAgent=4&rowAgent=17) | (colAgent=5&rowAgent=17) | (colAgent=6&rowAgent=17) | (colAgent=7&rowAgent=17) | (colAgent=8&rowAgent=17) | (colAgent=9&rowAgent=17) | (colAgent=10&rowAgent=17) | (colAgent=11&rowAgent=17) | (colAgent=12&rowAgent=17) | (colAgent=13&rowAgent=17) | (colAgent=14&rowAgent=17) | (colAgent=15&rowAgent=17) | (colAgent=1&rowAgent=18) | (colAgent=2&rowAgent=18) | (colAgent=3&rowAgent=18) | (colAgent=4&rowAgent=18) | (colAgent=5&rowAgent=18) | (colAgent=6&rowAgent=18) | (colAgent=7&rowAgent=18) | (colAgent=8&rowAgent=18) | (colAgent=9&rowAgent=18) | (colAgent=10&rowAgent=18) | (colAgent=11&rowAgent=18) | (colAgent=12&rowAgent=18) | (colAgent=13&rowAgent=18) | (colAgent=14&rowAgent=18) | (colAgent=15&rowAgent=18) | (colAgent=16&rowAgent=18) | (colAgent=22&rowAgent=18) | (colAgent=23&rowAgent=18) | (colAgent=24&rowAgent=18) | (colAgent=25&rowAgent=18) | (colAgent=1&rowAgent=19) | (colAgent=2&rowAgent=19) | (colAgent=3&rowAgent=19) | (colAgent=4&rowAgent=19) | (colAgent=5&rowAgent=19) | (colAgent=6&rowAgent=19) | (colAgent=7&rowAgent=19) | (colAgent=8&rowAgent=19) | (colAgent=9&rowAgent=19) | (colAgent=10&rowAgent=19) | (colAgent=11&rowAgent=19) | (colAgent=12&rowAgent=19) | (colAgent=13&rowAgent=19) | (colAgent=14&rowAgent=19) | (colAgent=15&rowAgent=19) | (colAgent=16&rowAgent=19) | (colAgent=17&rowAgent=19) | (colAgent=1&rowAgent=20) | (colAgent=2&rowAgent=20) | (colAgent=3&rowAgent=20) | (colAgent=4&rowAgent=20) | (colAgent=5&rowAgent=20) | (colAgent=6&rowAgent=20) | (colAgent=7&rowAgent=20) | (colAgent=8&rowAgent=20) | (colAgent=9&rowAgent=20) | (colAgent=10&rowAgent=20) | (colAgent=11&rowAgent=20) | (colAgent=12&rowAgent=20) | (colAgent=13&rowAgent=20) | (colAgent=14&rowAgent=20) | (colAgent=15&rowAgent=20) | (colAgent=16&rowAgent=20) | (colAgent=17&rowAgent=20) | (colAgent=18&rowAgent=20);
+formula AgentIsOnSlipperyNorth = (colAgent=15&rowAgent=1) | (colAgent=20&rowAgent=1) | (colAgent=15&rowAgent=2) | (colAgent=20&rowAgent=2) | (colAgent=13&rowAgent=3) | (colAgent=13&rowAgent=4) | (colAgent=13&rowAgent=5) | (colAgent=13&rowAgent=6) | (colAgent=15&rowAgent=7) | (colAgent=24&rowAgent=7) | (colAgent=15&rowAgent=8) | (colAgent=24&rowAgent=8) | (colAgent=15&rowAgent=9) | (colAgent=24&rowAgent=9) | (colAgent=15&rowAgent=10) | (colAgent=24&rowAgent=10) | (colAgent=13&rowAgent=11) | (colAgent=15&rowAgent=11) | (colAgent=24&rowAgent=11) | (colAgent=13&rowAgent=12) | (colAgent=13&rowAgent=13) | (colAgent=13&rowAgent=14) | (colAgent=21&rowAgent=14) | (colAgent=13&rowAgent=15) | (colAgent=21&rowAgent=15) | (colAgent=13&rowAgent=16) | (colAgent=21&rowAgent=16) | (colAgent=21&rowAgent=17);
+formula AgentIsOnSlipperyNorthEast = (colAgent=1&rowAgent=1) | (colAgent=2&rowAgent=1) | (colAgent=3&rowAgent=1) | (colAgent=4&rowAgent=1) | (colAgent=5&rowAgent=1) | (colAgent=6&rowAgent=1) | (colAgent=7&rowAgent=1) | (colAgent=8&rowAgent=1) | (colAgent=9&rowAgent=1) | (colAgent=10&rowAgent=1) | (colAgent=11&rowAgent=1) | (colAgent=12&rowAgent=1) | (colAgent=13&rowAgent=1) | (colAgent=14&rowAgent=1) | (colAgent=21&rowAgent=1) | (colAgent=22&rowAgent=1) | (colAgent=23&rowAgent=1) | (colAgent=24&rowAgent=1) | (colAgent=25&rowAgent=1) | (colAgent=1&rowAgent=2) | (colAgent=2&rowAgent=2) | (colAgent=3&rowAgent=2) | (colAgent=4&rowAgent=2) | (colAgent=5&rowAgent=2) | (colAgent=6&rowAgent=2) | (colAgent=7&rowAgent=2) | (colAgent=8&rowAgent=2) | (colAgent=9&rowAgent=2) | (colAgent=13&rowAgent=2) | (colAgent=14&rowAgent=2) | (colAgent=21&rowAgent=2) | (colAgent=22&rowAgent=2) | (colAgent=23&rowAgent=2) | (colAgent=24&rowAgent=2) | (colAgent=25&rowAgent=2) | (colAgent=1&rowAgent=3) | (colAgent=2&rowAgent=3) | (colAgent=3&rowAgent=3) | (colAgent=4&rowAgent=3) | (colAgent=5&rowAgent=3) | (colAgent=6&rowAgent=3) | (colAgent=7&rowAgent=3) | (colAgent=8&rowAgent=3) | (colAgent=9&rowAgent=3) | (colAgent=14&rowAgent=3) | (colAgent=15&rowAgent=3) | (colAgent=20&rowAgent=3) | (colAgent=21&rowAgent=3) | (colAgent=22&rowAgent=3) | (colAgent=23&rowAgent=3) | (colAgent=24&rowAgent=3) | (colAgent=25&rowAgent=3) | (colAgent=1&rowAgent=4) | (colAgent=2&rowAgent=4) | (colAgent=3&rowAgent=4) | (colAgent=4&rowAgent=4) | (colAgent=5&rowAgent=4) | (colAgent=6&rowAgent=4) | (colAgent=7&rowAgent=4) | (colAgent=8&rowAgent=4) | (colAgent=9&rowAgent=4) | (colAgent=14&rowAgent=4) | (colAgent=15&rowAgent=4) | (colAgent=16&rowAgent=4) | (colAgent=17&rowAgent=4) | (colAgent=18&rowAgent=4) | (colAgent=19&rowAgent=4) | (colAgent=20&rowAgent=4) | (colAgent=21&rowAgent=4) | (colAgent=22&rowAgent=4) | (colAgent=23&rowAgent=4) | (colAgent=24&rowAgent=4) | (colAgent=25&rowAgent=4) | (colAgent=1&rowAgent=5) | (colAgent=2&rowAgent=5) | (colAgent=3&rowAgent=5) | (colAgent=4&rowAgent=5) | (colAgent=5&rowAgent=5) | (colAgent=6&rowAgent=5) | (colAgent=7&rowAgent=5) | (colAgent=8&rowAgent=5) | (colAgent=9&rowAgent=5) | (colAgent=14&rowAgent=5) | (colAgent=15&rowAgent=5) | (colAgent=16&rowAgent=5) | (colAgent=17&rowAgent=5) | (colAgent=18&rowAgent=5) | (colAgent=19&rowAgent=5) | (colAgent=20&rowAgent=5) | (colAgent=21&rowAgent=5) | (colAgent=22&rowAgent=5) | (colAgent=23&rowAgent=5) | (colAgent=24&rowAgent=5) | (colAgent=25&rowAgent=5) | (colAgent=1&rowAgent=6) | (colAgent=2&rowAgent=6) | (colAgent=3&rowAgent=6) | (colAgent=4&rowAgent=6) | (colAgent=5&rowAgent=6) | (colAgent=6&rowAgent=6) | (colAgent=7&rowAgent=6) | (colAgent=8&rowAgent=6) | (colAgent=9&rowAgent=6) | (colAgent=14&rowAgent=6) | (colAgent=15&rowAgent=6) | (colAgent=23&rowAgent=6) | (colAgent=24&rowAgent=6) | (colAgent=25&rowAgent=6) | (colAgent=13&rowAgent=7) | (colAgent=14&rowAgent=7) | (colAgent=25&rowAgent=7) | (colAgent=9&rowAgent=8) | (colAgent=10&rowAgent=8) | (colAgent=11&rowAgent=8) | (colAgent=13&rowAgent=8) | (colAgent=14&rowAgent=8) | (colAgent=25&rowAgent=8) | (colAgent=9&rowAgent=9) | (colAgent=13&rowAgent=9) | (colAgent=14&rowAgent=9) | (colAgent=25&rowAgent=9) | (colAgent=8&rowAgent=10) | (colAgent=13&rowAgent=10) | (colAgent=14&rowAgent=10) | (colAgent=1&rowAgent=11) | (colAgent=2&rowAgent=11) | (colAgent=3&rowAgent=11) | (colAgent=4&rowAgent=11) | (colAgent=5&rowAgent=11) | (colAgent=6&rowAgent=11) | (colAgent=7&rowAgent=11) | (colAgent=14&rowAgent=11) | (colAgent=25&rowAgent=11) | (colAgent=1&rowAgent=12) | (colAgent=2&rowAgent=12) | (colAgent=3&rowAgent=12) | (colAgent=4&rowAgent=12) | (colAgent=5&rowAgent=12) | (colAgent=6&rowAgent=12) | (colAgent=7&rowAgent=12) | (colAgent=14&rowAgent=12) | (colAgent=15&rowAgent=12) | (colAgent=22&rowAgent=12) | (colAgent=23&rowAgent=12) | (colAgent=24&rowAgent=12) | (colAgent=25&rowAgent=12) | (colAgent=1&rowAgent=13) | (colAgent=2&rowAgent=13) | (colAgent=3&rowAgent=13) | (colAgent=4&rowAgent=13) | (colAgent=5&rowAgent=13) | (colAgent=6&rowAgent=13) | (colAgent=7&rowAgent=13) | (colAgent=14&rowAgent=13) | (colAgent=15&rowAgent=13) | (colAgent=16&rowAgent=13) | (colAgent=17&rowAgent=13) | (colAgent=18&rowAgent=13) | (colAgent=19&rowAgent=13) | (colAgent=20&rowAgent=13) | (colAgent=21&rowAgent=13) | (colAgent=1&rowAgent=14) | (colAgent=2&rowAgent=14) | (colAgent=3&rowAgent=14) | (colAgent=4&rowAgent=14) | (colAgent=5&rowAgent=14) | (colAgent=6&rowAgent=14) | (colAgent=7&rowAgent=14) | (colAgent=14&rowAgent=14) | (colAgent=15&rowAgent=14) | (colAgent=16&rowAgent=14) | (colAgent=17&rowAgent=14) | (colAgent=18&rowAgent=14) | (colAgent=19&rowAgent=14) | (colAgent=20&rowAgent=14) | (colAgent=1&rowAgent=15) | (colAgent=2&rowAgent=15) | (colAgent=3&rowAgent=15) | (colAgent=4&rowAgent=15) | (colAgent=5&rowAgent=15) | (colAgent=6&rowAgent=15) | (colAgent=7&rowAgent=15) | (colAgent=14&rowAgent=15) | (colAgent=15&rowAgent=15) | (colAgent=16&rowAgent=15) | (colAgent=17&rowAgent=15) | (colAgent=18&rowAgent=15) | (colAgent=19&rowAgent=15) | (colAgent=20&rowAgent=15) | (colAgent=1&rowAgent=16) | (colAgent=2&rowAgent=16) | (colAgent=3&rowAgent=16) | (colAgent=4&rowAgent=16) | (colAgent=5&rowAgent=16) | (colAgent=6&rowAgent=16) | (colAgent=7&rowAgent=16) | (colAgent=14&rowAgent=16) | (colAgent=15&rowAgent=16) | (colAgent=16&rowAgent=16) | (colAgent=17&rowAgent=16) | (colAgent=18&rowAgent=16) | (colAgent=19&rowAgent=16) | (colAgent=20&rowAgent=16) | (colAgent=16&rowAgent=17) | (colAgent=17&rowAgent=17) | (colAgent=18&rowAgent=17) | (colAgent=19&rowAgent=17) | (colAgent=20&rowAgent=17) | (colAgent=17&rowAgent=18) | (colAgent=18&rowAgent=18) | (colAgent=19&rowAgent=18) | (colAgent=20&rowAgent=18) | (colAgent=21&rowAgent=18) | (colAgent=18&rowAgent=19) | (colAgent=19&rowAgent=19) | (colAgent=20&rowAgent=19) | (colAgent=21&rowAgent=19) | (colAgent=22&rowAgent=19) | (colAgent=23&rowAgent=19) | (colAgent=24&rowAgent=19) | (colAgent=25&rowAgent=19) | (colAgent=19&rowAgent=20) | (colAgent=20&rowAgent=20) | (colAgent=21&rowAgent=20) | (colAgent=22&rowAgent=20) | (colAgent=23&rowAgent=20) | (colAgent=24&rowAgent=20) | (colAgent=25&rowAgent=20);
+formula AgentIsOnSlipperyNorthWest = false;
+formula AgentIsOnSlipperySouth = (colAgent=12&rowAgent=7) | (colAgent=12&rowAgent=8) | (colAgent=12&rowAgent=9) | (colAgent=12&rowAgent=10);
+formula AgentIsOnSlipperySouthEast = false;
+formula AgentIsOnSlipperySouthWest = false;
+formula AgentIsOnSlipperyWest = (colAgent=10&rowAgent=9) | (colAgent=11&rowAgent=9) | (colAgent=9&rowAgent=10) | (colAgent=10&rowAgent=10) | (colAgent=11&rowAgent=10);
+formula AgentIsOnSlippery = AgentIsOnSlipperyEast | AgentIsOnSlipperyNorth | AgentIsOnSlipperyNorthEast | AgentIsOnSlipperyNorthWest | AgentIsOnSlipperySouth | AgentIsOnSlipperySouthEast | AgentIsOnSlipperySouthWest | AgentIsOnSlipperyWest;
+formula AgentCannotSlipEast = (colAgent+1=0&rowAgent=0) | (colAgent+1=1&rowAgent=0) | (colAgent+1=2&rowAgent=0) | (colAgent+1=3&rowAgent=0) | (colAgent+1=4&rowAgent=0) | (colAgent+1=5&rowAgent=0) | (colAgent+1=6&rowAgent=0) | (colAgent+1=7&rowAgent=0) | (colAgent+1=8&rowAgent=0) | (colAgent+1=9&rowAgent=0) | (colAgent+1=10&rowAgent=0) | (colAgent+1=11&rowAgent=0) | (colAgent+1=12&rowAgent=0) | (colAgent+1=13&rowAgent=0) | (colAgent+1=14&rowAgent=0) | (colAgent+1=15&rowAgent=0) | (colAgent+1=16&rowAgent=0) | (colAgent+1=17&rowAgent=0) | (colAgent+1=18&rowAgent=0) | (colAgent+1=19&rowAgent=0) | (colAgent+1=20&rowAgent=0) | (colAgent+1=21&rowAgent=0) | (colAgent+1=22&rowAgent=0) | (colAgent+1=23&rowAgent=0) | (colAgent+1=24&rowAgent=0) | (colAgent+1=25&rowAgent=0) | (colAgent+1=26&rowAgent=0) | (colAgent+1=0&rowAgent=1) | (colAgent+1=26&rowAgent=1) | (colAgent+1=0&rowAgent=2) | (colAgent+1=26&rowAgent=2) | (colAgent+1=0&rowAgent=3) | (colAgent+1=26&rowAgent=3) | (colAgent+1=0&rowAgent=4) | (colAgent+1=26&rowAgent=4) | (colAgent+1=0&rowAgent=5) | (colAgent+1=26&rowAgent=5) | (colAgent+1=0&rowAgent=6) | (colAgent+1=26&rowAgent=6) | (colAgent+1=0&rowAgent=7) | (colAgent+1=26&rowAgent=7) | (colAgent+1=0&rowAgent=8) | (colAgent+1=26&rowAgent=8) | (colAgent+1=0&rowAgent=9) | (colAgent+1=26&rowAgent=9) | (colAgent+1=0&rowAgent=10) | (colAgent+1=26&rowAgent=10) | (colAgent+1=0&rowAgent=11) | (colAgent+1=26&rowAgent=11) | (colAgent+1=0&rowAgent=12) | (colAgent+1=26&rowAgent=12) | (colAgent+1=0&rowAgent=13) | (colAgent+1=26&rowAgent=13) | (colAgent+1=0&rowAgent=14) | (colAgent+1=26&rowAgent=14) | (colAgent+1=0&rowAgent=15) | (colAgent+1=26&rowAgent=15) | (colAgent+1=0&rowAgent=16) | (colAgent+1=26&rowAgent=16) | (colAgent+1=0&rowAgent=17) | (colAgent+1=26&rowAgent=17) | (colAgent+1=0&rowAgent=18) | (colAgent+1=26&rowAgent=18) | (colAgent+1=0&rowAgent=19) | (colAgent+1=26&rowAgent=19) | (colAgent+1=0&rowAgent=20) | (colAgent+1=26&rowAgent=20) | (colAgent+1=0&rowAgent=21) | (colAgent+1=1&rowAgent=21) | (colAgent+1=2&rowAgent=21) | (colAgent+1=3&rowAgent=21) | (colAgent+1=4&rowAgent=21) | (colAgent+1=5&rowAgent=21) | (colAgent+1=6&rowAgent=21) | (colAgent+1=7&rowAgent=21) | (colAgent+1=8&rowAgent=21) | (colAgent+1=9&rowAgent=21) | (colAgent+1=10&rowAgent=21) | (colAgent+1=11&rowAgent=21) | (colAgent+1=12&rowAgent=21) | (colAgent+1=13&rowAgent=21) | (colAgent+1=14&rowAgent=21) | (colAgent+1=15&rowAgent=21) | (colAgent+1=16&rowAgent=21) | (colAgent+1=17&rowAgent=21) | (colAgent+1=18&rowAgent=21) | (colAgent+1=19&rowAgent=21) | (colAgent+1=20&rowAgent=21) | (colAgent+1=21&rowAgent=21) | (colAgent+1=22&rowAgent=21) | (colAgent+1=23&rowAgent=21) | (colAgent+1=24&rowAgent=21) | (colAgent+1=25&rowAgent=21) | (colAgent+1=26&rowAgent=21);
+formula AgentCannotSlipNorth = (colAgent=0&rowAgent-1=0) | (colAgent=1&rowAgent-1=0) | (colAgent=2&rowAgent-1=0) | (colAgent=3&rowAgent-1=0) | (colAgent=4&rowAgent-1=0) | (colAgent=5&rowAgent-1=0) | (colAgent=6&rowAgent-1=0) | (colAgent=7&rowAgent-1=0) | (colAgent=8&rowAgent-1=0) | (colAgent=9&rowAgent-1=0) | (colAgent=10&rowAgent-1=0) | (colAgent=11&rowAgent-1=0) | (colAgent=12&rowAgent-1=0) | (colAgent=13&rowAgent-1=0) | (colAgent=14&rowAgent-1=0) | (colAgent=15&rowAgent-1=0) | (colAgent=16&rowAgent-1=0) | (colAgent=17&rowAgent-1=0) | (colAgent=18&rowAgent-1=0) | (colAgent=19&rowAgent-1=0) | (colAgent=20&rowAgent-1=0) | (colAgent=21&rowAgent-1=0) | (colAgent=22&rowAgent-1=0) | (colAgent=23&rowAgent-1=0) | (colAgent=24&rowAgent-1=0) | (colAgent=25&rowAgent-1=0) | (colAgent=26&rowAgent-1=0) | (colAgent=0&rowAgent-1=1) | (colAgent=26&rowAgent-1=1) | (colAgent=0&rowAgent-1=2) | (colAgent=26&rowAgent-1=2) | (colAgent=0&rowAgent-1=3) | (colAgent=26&rowAgent-1=3) | (colAgent=0&rowAgent-1=4) | (colAgent=26&rowAgent-1=4) | (colAgent=0&rowAgent-1=5) | (colAgent=26&rowAgent-1=5) | (colAgent=0&rowAgent-1=6) | (colAgent=26&rowAgent-1=6) | (colAgent=0&rowAgent-1=7) | (colAgent=26&rowAgent-1=7) | (colAgent=0&rowAgent-1=8) | (colAgent=26&rowAgent-1=8) | (colAgent=0&rowAgent-1=9) | (colAgent=26&rowAgent-1=9) | (colAgent=0&rowAgent-1=10) | (colAgent=26&rowAgent-1=10) | (colAgent=0&rowAgent-1=11) | (colAgent=26&rowAgent-1=11) | (colAgent=0&rowAgent-1=12) | (colAgent=26&rowAgent-1=12) | (colAgent=0&rowAgent-1=13) | (colAgent=26&rowAgent-1=13) | (colAgent=0&rowAgent-1=14) | (colAgent=26&rowAgent-1=14) | (colAgent=0&rowAgent-1=15) | (colAgent=26&rowAgent-1=15) | (colAgent=0&rowAgent-1=16) | (colAgent=26&rowAgent-1=16) | (colAgent=0&rowAgent-1=17) | (colAgent=26&rowAgent-1=17) | (colAgent=0&rowAgent-1=18) | (colAgent=26&rowAgent-1=18) | (colAgent=0&rowAgent-1=19) | (colAgent=26&rowAgent-1=19) | (colAgent=0&rowAgent-1=20) | (colAgent=26&rowAgent-1=20) | (colAgent=0&rowAgent-1=21) | (colAgent=1&rowAgent-1=21) | (colAgent=2&rowAgent-1=21) | (colAgent=3&rowAgent-1=21) | (colAgent=4&rowAgent-1=21) | (colAgent=5&rowAgent-1=21) | (colAgent=6&rowAgent-1=21) | (colAgent=7&rowAgent-1=21) | (colAgent=8&rowAgent-1=21) | (colAgent=9&rowAgent-1=21) | (colAgent=10&rowAgent-1=21) | (colAgent=11&rowAgent-1=21) | (colAgent=12&rowAgent-1=21) | (colAgent=13&rowAgent-1=21) | (colAgent=14&rowAgent-1=21) | (colAgent=15&rowAgent-1=21) | (colAgent=16&rowAgent-1=21) | (colAgent=17&rowAgent-1=21) | (colAgent=18&rowAgent-1=21) | (colAgent=19&rowAgent-1=21) | (colAgent=20&rowAgent-1=21) | (colAgent=21&rowAgent-1=21) | (colAgent=22&rowAgent-1=21) | (colAgent=23&rowAgent-1=21) | (colAgent=24&rowAgent-1=21) | (colAgent=25&rowAgent-1=21) | (colAgent=26&rowAgent-1=21);
+formula AgentCannotSlipNorthEast = (colAgent+1=0&rowAgent-1=0) | (colAgent+1=1&rowAgent-1=0) | (colAgent+1=2&rowAgent-1=0) | (colAgent+1=3&rowAgent-1=0) | (colAgent+1=4&rowAgent-1=0) | (colAgent+1=5&rowAgent-1=0) | (colAgent+1=6&rowAgent-1=0) | (colAgent+1=7&rowAgent-1=0) | (colAgent+1=8&rowAgent-1=0) | (colAgent+1=9&rowAgent-1=0) | (colAgent+1=10&rowAgent-1=0) | (colAgent+1=11&rowAgent-1=0) | (colAgent+1=12&rowAgent-1=0) | (colAgent+1=13&rowAgent-1=0) | (colAgent+1=14&rowAgent-1=0) | (colAgent+1=15&rowAgent-1=0) | (colAgent+1=16&rowAgent-1=0) | (colAgent+1=17&rowAgent-1=0) | (colAgent+1=18&rowAgent-1=0) | (colAgent+1=19&rowAgent-1=0) | (colAgent+1=20&rowAgent-1=0) | (colAgent+1=21&rowAgent-1=0) | (colAgent+1=22&rowAgent-1=0) | (colAgent+1=23&rowAgent-1=0) | (colAgent+1=24&rowAgent-1=0) | (colAgent+1=25&rowAgent-1=0) | (colAgent+1=26&rowAgent-1=0) | (colAgent+1=0&rowAgent-1=1) | (colAgent+1=26&rowAgent-1=1) | (colAgent+1=0&rowAgent-1=2) | (colAgent+1=26&rowAgent-1=2) | (colAgent+1=0&rowAgent-1=3) | (colAgent+1=26&rowAgent-1=3) | (colAgent+1=0&rowAgent-1=4) | (colAgent+1=26&rowAgent-1=4) | (colAgent+1=0&rowAgent-1=5) | (colAgent+1=26&rowAgent-1=5) | (colAgent+1=0&rowAgent-1=6) | (colAgent+1=26&rowAgent-1=6) | (colAgent+1=0&rowAgent-1=7) | (colAgent+1=26&rowAgent-1=7) | (colAgent+1=0&rowAgent-1=8) | (colAgent+1=26&rowAgent-1=8) | (colAgent+1=0&rowAgent-1=9) | (colAgent+1=26&rowAgent-1=9) | (colAgent+1=0&rowAgent-1=10) | (colAgent+1=26&rowAgent-1=10) | (colAgent+1=0&rowAgent-1=11) | (colAgent+1=26&rowAgent-1=11) | (colAgent+1=0&rowAgent-1=12) | (colAgent+1=26&rowAgent-1=12) | (colAgent+1=0&rowAgent-1=13) | (colAgent+1=26&rowAgent-1=13) | (colAgent+1=0&rowAgent-1=14) | (colAgent+1=26&rowAgent-1=14) | (colAgent+1=0&rowAgent-1=15) | (colAgent+1=26&rowAgent-1=15) | (colAgent+1=0&rowAgent-1=16) | (colAgent+1=26&rowAgent-1=16) | (colAgent+1=0&rowAgent-1=17) | (colAgent+1=26&rowAgent-1=17) | (colAgent+1=0&rowAgent-1=18) | (colAgent+1=26&rowAgent-1=18) | (colAgent+1=0&rowAgent-1=19) | (colAgent+1=26&rowAgent-1=19) | (colAgent+1=0&rowAgent-1=20) | (colAgent+1=26&rowAgent-1=20) | (colAgent+1=0&rowAgent-1=21) | (colAgent+1=1&rowAgent-1=21) | (colAgent+1=2&rowAgent-1=21) | (colAgent+1=3&rowAgent-1=21) | (colAgent+1=4&rowAgent-1=21) | (colAgent+1=5&rowAgent-1=21) | (colAgent+1=6&rowAgent-1=21) | (colAgent+1=7&rowAgent-1=21) | (colAgent+1=8&rowAgent-1=21) | (colAgent+1=9&rowAgent-1=21) | (colAgent+1=10&rowAgent-1=21) | (colAgent+1=11&rowAgent-1=21) | (colAgent+1=12&rowAgent-1=21) | (colAgent+1=13&rowAgent-1=21) | (colAgent+1=14&rowAgent-1=21) | (colAgent+1=15&rowAgent-1=21) | (colAgent+1=16&rowAgent-1=21) | (colAgent+1=17&rowAgent-1=21) | (colAgent+1=18&rowAgent-1=21) | (colAgent+1=19&rowAgent-1=21) | (colAgent+1=20&rowAgent-1=21) | (colAgent+1=21&rowAgent-1=21) | (colAgent+1=22&rowAgent-1=21) | (colAgent+1=23&rowAgent-1=21) | (colAgent+1=24&rowAgent-1=21) | (colAgent+1=25&rowAgent-1=21) | (colAgent+1=26&rowAgent-1=21);
+formula AgentCannotSlipNorthWest = (colAgent-1=0&rowAgent-1=0) | (colAgent-1=1&rowAgent-1=0) | (colAgent-1=2&rowAgent-1=0) | (colAgent-1=3&rowAgent-1=0) | (colAgent-1=4&rowAgent-1=0) | (colAgent-1=5&rowAgent-1=0) | (colAgent-1=6&rowAgent-1=0) | (colAgent-1=7&rowAgent-1=0) | (colAgent-1=8&rowAgent-1=0) | (colAgent-1=9&rowAgent-1=0) | (colAgent-1=10&rowAgent-1=0) | (colAgent-1=11&rowAgent-1=0) | (colAgent-1=12&rowAgent-1=0) | (colAgent-1=13&rowAgent-1=0) | (colAgent-1=14&rowAgent-1=0) | (colAgent-1=15&rowAgent-1=0) | (colAgent-1=16&rowAgent-1=0) | (colAgent-1=17&rowAgent-1=0) | (colAgent-1=18&rowAgent-1=0) | (colAgent-1=19&rowAgent-1=0) | (colAgent-1=20&rowAgent-1=0) | (colAgent-1=21&rowAgent-1=0) | (colAgent-1=22&rowAgent-1=0) | (colAgent-1=23&rowAgent-1=0) | (colAgent-1=24&rowAgent-1=0) | (colAgent-1=25&rowAgent-1=0) | (colAgent-1=26&rowAgent-1=0) | (colAgent-1=0&rowAgent-1=1) | (colAgent-1=26&rowAgent-1=1) | (colAgent-1=0&rowAgent-1=2) | (colAgent-1=26&rowAgent-1=2) | (colAgent-1=0&rowAgent-1=3) | (colAgent-1=26&rowAgent-1=3) | (colAgent-1=0&rowAgent-1=4) | (colAgent-1=26&rowAgent-1=4) | (colAgent-1=0&rowAgent-1=5) | (colAgent-1=26&rowAgent-1=5) | (colAgent-1=0&rowAgent-1=6) | (colAgent-1=26&rowAgent-1=6) | (colAgent-1=0&rowAgent-1=7) | (colAgent-1=26&rowAgent-1=7) | (colAgent-1=0&rowAgent-1=8) | (colAgent-1=26&rowAgent-1=8) | (colAgent-1=0&rowAgent-1=9) | (colAgent-1=26&rowAgent-1=9) | (colAgent-1=0&rowAgent-1=10) | (colAgent-1=26&rowAgent-1=10) | (colAgent-1=0&rowAgent-1=11) | (colAgent-1=26&rowAgent-1=11) | (colAgent-1=0&rowAgent-1=12) | (colAgent-1=26&rowAgent-1=12) | (colAgent-1=0&rowAgent-1=13) | (colAgent-1=26&rowAgent-1=13) | (colAgent-1=0&rowAgent-1=14) | (colAgent-1=26&rowAgent-1=14) | (colAgent-1=0&rowAgent-1=15) | (colAgent-1=26&rowAgent-1=15) | (colAgent-1=0&rowAgent-1=16) | (colAgent-1=26&rowAgent-1=16) | (colAgent-1=0&rowAgent-1=17) | (colAgent-1=26&rowAgent-1=17) | (colAgent-1=0&rowAgent-1=18) | (colAgent-1=26&rowAgent-1=18) | (colAgent-1=0&rowAgent-1=19) | (colAgent-1=26&rowAgent-1=19) | (colAgent-1=0&rowAgent-1=20) | (colAgent-1=26&rowAgent-1=20) | (colAgent-1=0&rowAgent-1=21) | (colAgent-1=1&rowAgent-1=21) | (colAgent-1=2&rowAgent-1=21) | (colAgent-1=3&rowAgent-1=21) | (colAgent-1=4&rowAgent-1=21) | (colAgent-1=5&rowAgent-1=21) | (colAgent-1=6&rowAgent-1=21) | (colAgent-1=7&rowAgent-1=21) | (colAgent-1=8&rowAgent-1=21) | (colAgent-1=9&rowAgent-1=21) | (colAgent-1=10&rowAgent-1=21) | (colAgent-1=11&rowAgent-1=21) | (colAgent-1=12&rowAgent-1=21) | (colAgent-1=13&rowAgent-1=21) | (colAgent-1=14&rowAgent-1=21) | (colAgent-1=15&rowAgent-1=21) | (colAgent-1=16&rowAgent-1=21) | (colAgent-1=17&rowAgent-1=21) | (colAgent-1=18&rowAgent-1=21) | (colAgent-1=19&rowAgent-1=21) | (colAgent-1=20&rowAgent-1=21) | (colAgent-1=21&rowAgent-1=21) | (colAgent-1=22&rowAgent-1=21) | (colAgent-1=23&rowAgent-1=21) | (colAgent-1=24&rowAgent-1=21) | (colAgent-1=25&rowAgent-1=21) | (colAgent-1=26&rowAgent-1=21);
+formula AgentCannotSlipSouth = (colAgent=0&rowAgent+1=0) | (colAgent=1&rowAgent+1=0) | (colAgent=2&rowAgent+1=0) | (colAgent=3&rowAgent+1=0) | (colAgent=4&rowAgent+1=0) | (colAgent=5&rowAgent+1=0) | (colAgent=6&rowAgent+1=0) | (colAgent=7&rowAgent+1=0) | (colAgent=8&rowAgent+1=0) | (colAgent=9&rowAgent+1=0) | (colAgent=10&rowAgent+1=0) | (colAgent=11&rowAgent+1=0) | (colAgent=12&rowAgent+1=0) | (colAgent=13&rowAgent+1=0) | (colAgent=14&rowAgent+1=0) | (colAgent=15&rowAgent+1=0) | (colAgent=16&rowAgent+1=0) | (colAgent=17&rowAgent+1=0) | (colAgent=18&rowAgent+1=0) | (colAgent=19&rowAgent+1=0) | (colAgent=20&rowAgent+1=0) | (colAgent=21&rowAgent+1=0) | (colAgent=22&rowAgent+1=0) | (colAgent=23&rowAgent+1=0) | (colAgent=24&rowAgent+1=0) | (colAgent=25&rowAgent+1=0) | (colAgent=26&rowAgent+1=0) | (colAgent=0&rowAgent+1=1) | (colAgent=26&rowAgent+1=1) | (colAgent=0&rowAgent+1=2) | (colAgent=26&rowAgent+1=2) | (colAgent=0&rowAgent+1=3) | (colAgent=26&rowAgent+1=3) | (colAgent=0&rowAgent+1=4) | (colAgent=26&rowAgent+1=4) | (colAgent=0&rowAgent+1=5) | (colAgent=26&rowAgent+1=5) | (colAgent=0&rowAgent+1=6) | (colAgent=26&rowAgent+1=6) | (colAgent=0&rowAgent+1=7) | (colAgent=26&rowAgent+1=7) | (colAgent=0&rowAgent+1=8) | (colAgent=26&rowAgent+1=8) | (colAgent=0&rowAgent+1=9) | (colAgent=26&rowAgent+1=9) | (colAgent=0&rowAgent+1=10) | (colAgent=26&rowAgent+1=10) | (colAgent=0&rowAgent+1=11) | (colAgent=26&rowAgent+1=11) | (colAgent=0&rowAgent+1=12) | (colAgent=26&rowAgent+1=12) | (colAgent=0&rowAgent+1=13) | (colAgent=26&rowAgent+1=13) | (colAgent=0&rowAgent+1=14) | (colAgent=26&rowAgent+1=14) | (colAgent=0&rowAgent+1=15) | (colAgent=26&rowAgent+1=15) | (colAgent=0&rowAgent+1=16) | (colAgent=26&rowAgent+1=16) | (colAgent=0&rowAgent+1=17) | (colAgent=26&rowAgent+1=17) | (colAgent=0&rowAgent+1=18) | (colAgent=26&rowAgent+1=18) | (colAgent=0&rowAgent+1=19) | (colAgent=26&rowAgent+1=19) | (colAgent=0&rowAgent+1=20) | (colAgent=26&rowAgent+1=20) | (colAgent=0&rowAgent+1=21) | (colAgent=1&rowAgent+1=21) | (colAgent=2&rowAgent+1=21) | (colAgent=3&rowAgent+1=21) | (colAgent=4&rowAgent+1=21) | (colAgent=5&rowAgent+1=21) | (colAgent=6&rowAgent+1=21) | (colAgent=7&rowAgent+1=21) | (colAgent=8&rowAgent+1=21) | (colAgent=9&rowAgent+1=21) | (colAgent=10&rowAgent+1=21) | (colAgent=11&rowAgent+1=21) | (colAgent=12&rowAgent+1=21) | (colAgent=13&rowAgent+1=21) | (colAgent=14&rowAgent+1=21) | (colAgent=15&rowAgent+1=21) | (colAgent=16&rowAgent+1=21) | (colAgent=17&rowAgent+1=21) | (colAgent=18&rowAgent+1=21) | (colAgent=19&rowAgent+1=21) | (colAgent=20&rowAgent+1=21) | (colAgent=21&rowAgent+1=21) | (colAgent=22&rowAgent+1=21) | (colAgent=23&rowAgent+1=21) | (colAgent=24&rowAgent+1=21) | (colAgent=25&rowAgent+1=21) | (colAgent=26&rowAgent+1=21);
+formula AgentCannotSlipSouthEast = (colAgent+1=0&rowAgent+1=0) | (colAgent+1=1&rowAgent+1=0) | (colAgent+1=2&rowAgent+1=0) | (colAgent+1=3&rowAgent+1=0) | (colAgent+1=4&rowAgent+1=0) | (colAgent+1=5&rowAgent+1=0) | (colAgent+1=6&rowAgent+1=0) | (colAgent+1=7&rowAgent+1=0) | (colAgent+1=8&rowAgent+1=0) | (colAgent+1=9&rowAgent+1=0) | (colAgent+1=10&rowAgent+1=0) | (colAgent+1=11&rowAgent+1=0) | (colAgent+1=12&rowAgent+1=0) | (colAgent+1=13&rowAgent+1=0) | (colAgent+1=14&rowAgent+1=0) | (colAgent+1=15&rowAgent+1=0) | (colAgent+1=16&rowAgent+1=0) | (colAgent+1=17&rowAgent+1=0) | (colAgent+1=18&rowAgent+1=0) | (colAgent+1=19&rowAgent+1=0) | (colAgent+1=20&rowAgent+1=0) | (colAgent+1=21&rowAgent+1=0) | (colAgent+1=22&rowAgent+1=0) | (colAgent+1=23&rowAgent+1=0) | (colAgent+1=24&rowAgent+1=0) | (colAgent+1=25&rowAgent+1=0) | (colAgent+1=26&rowAgent+1=0) | (colAgent+1=0&rowAgent+1=1) | (colAgent+1=26&rowAgent+1=1) | (colAgent+1=0&rowAgent+1=2) | (colAgent+1=26&rowAgent+1=2) | (colAgent+1=0&rowAgent+1=3) | (colAgent+1=26&rowAgent+1=3) | (colAgent+1=0&rowAgent+1=4) | (colAgent+1=26&rowAgent+1=4) | (colAgent+1=0&rowAgent+1=5) | (colAgent+1=26&rowAgent+1=5) | (colAgent+1=0&rowAgent+1=6) | (colAgent+1=26&rowAgent+1=6) | (colAgent+1=0&rowAgent+1=7) | (colAgent+1=26&rowAgent+1=7) | (colAgent+1=0&rowAgent+1=8) | (colAgent+1=26&rowAgent+1=8) | (colAgent+1=0&rowAgent+1=9) | (colAgent+1=26&rowAgent+1=9) | (colAgent+1=0&rowAgent+1=10) | (colAgent+1=26&rowAgent+1=10) | (colAgent+1=0&rowAgent+1=11) | (colAgent+1=26&rowAgent+1=11) | (colAgent+1=0&rowAgent+1=12) | (colAgent+1=26&rowAgent+1=12) | (colAgent+1=0&rowAgent+1=13) | (colAgent+1=26&rowAgent+1=13) | (colAgent+1=0&rowAgent+1=14) | (colAgent+1=26&rowAgent+1=14) | (colAgent+1=0&rowAgent+1=15) | (colAgent+1=26&rowAgent+1=15) | (colAgent+1=0&rowAgent+1=16) | (colAgent+1=26&rowAgent+1=16) | (colAgent+1=0&rowAgent+1=17) | (colAgent+1=26&rowAgent+1=17) | (colAgent+1=0&rowAgent+1=18) | (colAgent+1=26&rowAgent+1=18) | (colAgent+1=0&rowAgent+1=19) | (colAgent+1=26&rowAgent+1=19) | (colAgent+1=0&rowAgent+1=20) | (colAgent+1=26&rowAgent+1=20) | (colAgent+1=0&rowAgent+1=21) | (colAgent+1=1&rowAgent+1=21) | (colAgent+1=2&rowAgent+1=21) | (colAgent+1=3&rowAgent+1=21) | (colAgent+1=4&rowAgent+1=21) | (colAgent+1=5&rowAgent+1=21) | (colAgent+1=6&rowAgent+1=21) | (colAgent+1=7&rowAgent+1=21) | (colAgent+1=8&rowAgent+1=21) | (colAgent+1=9&rowAgent+1=21) | (colAgent+1=10&rowAgent+1=21) | (colAgent+1=11&rowAgent+1=21) | (colAgent+1=12&rowAgent+1=21) | (colAgent+1=13&rowAgent+1=21) | (colAgent+1=14&rowAgent+1=21) | (colAgent+1=15&rowAgent+1=21) | (colAgent+1=16&rowAgent+1=21) | (colAgent+1=17&rowAgent+1=21) | (colAgent+1=18&rowAgent+1=21) | (colAgent+1=19&rowAgent+1=21) | (colAgent+1=20&rowAgent+1=21) | (colAgent+1=21&rowAgent+1=21) | (colAgent+1=22&rowAgent+1=21) | (colAgent+1=23&rowAgent+1=21) | (colAgent+1=24&rowAgent+1=21) | (colAgent+1=25&rowAgent+1=21) | (colAgent+1=26&rowAgent+1=21);
+formula AgentCannotSlipSouthWest = (colAgent-1=0&rowAgent+1=0) | (colAgent-1=1&rowAgent+1=0) | (colAgent-1=2&rowAgent+1=0) | (colAgent-1=3&rowAgent+1=0) | (colAgent-1=4&rowAgent+1=0) | (colAgent-1=5&rowAgent+1=0) | (colAgent-1=6&rowAgent+1=0) | (colAgent-1=7&rowAgent+1=0) | (colAgent-1=8&rowAgent+1=0) | (colAgent-1=9&rowAgent+1=0) | (colAgent-1=10&rowAgent+1=0) | (colAgent-1=11&rowAgent+1=0) | (colAgent-1=12&rowAgent+1=0) | (colAgent-1=13&rowAgent+1=0) | (colAgent-1=14&rowAgent+1=0) | (colAgent-1=15&rowAgent+1=0) | (colAgent-1=16&rowAgent+1=0) | (colAgent-1=17&rowAgent+1=0) | (colAgent-1=18&rowAgent+1=0) | (colAgent-1=19&rowAgent+1=0) | (colAgent-1=20&rowAgent+1=0) | (colAgent-1=21&rowAgent+1=0) | (colAgent-1=22&rowAgent+1=0) | (colAgent-1=23&rowAgent+1=0) | (colAgent-1=24&rowAgent+1=0) | (colAgent-1=25&rowAgent+1=0) | (colAgent-1=26&rowAgent+1=0) | (colAgent-1=0&rowAgent+1=1) | (colAgent-1=26&rowAgent+1=1) | (colAgent-1=0&rowAgent+1=2) | (colAgent-1=26&rowAgent+1=2) | (colAgent-1=0&rowAgent+1=3) | (colAgent-1=26&rowAgent+1=3) | (colAgent-1=0&rowAgent+1=4) | (colAgent-1=26&rowAgent+1=4) | (colAgent-1=0&rowAgent+1=5) | (colAgent-1=26&rowAgent+1=5) | (colAgent-1=0&rowAgent+1=6) | (colAgent-1=26&rowAgent+1=6) | (colAgent-1=0&rowAgent+1=7) | (colAgent-1=26&rowAgent+1=7) | (colAgent-1=0&rowAgent+1=8) | (colAgent-1=26&rowAgent+1=8) | (colAgent-1=0&rowAgent+1=9) | (colAgent-1=26&rowAgent+1=9) | (colAgent-1=0&rowAgent+1=10) | (colAgent-1=26&rowAgent+1=10) | (colAgent-1=0&rowAgent+1=11) | (colAgent-1=26&rowAgent+1=11) | (colAgent-1=0&rowAgent+1=12) | (colAgent-1=26&rowAgent+1=12) | (colAgent-1=0&rowAgent+1=13) | (colAgent-1=26&rowAgent+1=13) | (colAgent-1=0&rowAgent+1=14) | (colAgent-1=26&rowAgent+1=14) | (colAgent-1=0&rowAgent+1=15) | (colAgent-1=26&rowAgent+1=15) | (colAgent-1=0&rowAgent+1=16) | (colAgent-1=26&rowAgent+1=16) | (colAgent-1=0&rowAgent+1=17) | (colAgent-1=26&rowAgent+1=17) | (colAgent-1=0&rowAgent+1=18) | (colAgent-1=26&rowAgent+1=18) | (colAgent-1=0&rowAgent+1=19) | (colAgent-1=26&rowAgent+1=19) | (colAgent-1=0&rowAgent+1=20) | (colAgent-1=26&rowAgent+1=20) | (colAgent-1=0&rowAgent+1=21) | (colAgent-1=1&rowAgent+1=21) | (colAgent-1=2&rowAgent+1=21) | (colAgent-1=3&rowAgent+1=21) | (colAgent-1=4&rowAgent+1=21) | (colAgent-1=5&rowAgent+1=21) | (colAgent-1=6&rowAgent+1=21) | (colAgent-1=7&rowAgent+1=21) | (colAgent-1=8&rowAgent+1=21) | (colAgent-1=9&rowAgent+1=21) | (colAgent-1=10&rowAgent+1=21) | (colAgent-1=11&rowAgent+1=21) | (colAgent-1=12&rowAgent+1=21) | (colAgent-1=13&rowAgent+1=21) | (colAgent-1=14&rowAgent+1=21) | (colAgent-1=15&rowAgent+1=21) | (colAgent-1=16&rowAgent+1=21) | (colAgent-1=17&rowAgent+1=21) | (colAgent-1=18&rowAgent+1=21) | (colAgent-1=19&rowAgent+1=21) | (colAgent-1=20&rowAgent+1=21) | (colAgent-1=21&rowAgent+1=21) | (colAgent-1=22&rowAgent+1=21) | (colAgent-1=23&rowAgent+1=21) | (colAgent-1=24&rowAgent+1=21) | (colAgent-1=25&rowAgent+1=21) | (colAgent-1=26&rowAgent+1=21);
+formula AgentCannotSlipWest = (colAgent-1=0&rowAgent=0) | (colAgent-1=1&rowAgent=0) | (colAgent-1=2&rowAgent=0) | (colAgent-1=3&rowAgent=0) | (colAgent-1=4&rowAgent=0) | (colAgent-1=5&rowAgent=0) | (colAgent-1=6&rowAgent=0) | (colAgent-1=7&rowAgent=0) | (colAgent-1=8&rowAgent=0) | (colAgent-1=9&rowAgent=0) | (colAgent-1=10&rowAgent=0) | (colAgent-1=11&rowAgent=0) | (colAgent-1=12&rowAgent=0) | (colAgent-1=13&rowAgent=0) | (colAgent-1=14&rowAgent=0) | (colAgent-1=15&rowAgent=0) | (colAgent-1=16&rowAgent=0) | (colAgent-1=17&rowAgent=0) | (colAgent-1=18&rowAgent=0) | (colAgent-1=19&rowAgent=0) | (colAgent-1=20&rowAgent=0) | (colAgent-1=21&rowAgent=0) | (colAgent-1=22&rowAgent=0) | (colAgent-1=23&rowAgent=0) | (colAgent-1=24&rowAgent=0) | (colAgent-1=25&rowAgent=0) | (colAgent-1=26&rowAgent=0) | (colAgent-1=0&rowAgent=1) | (colAgent-1=26&rowAgent=1) | (colAgent-1=0&rowAgent=2) | (colAgent-1=26&rowAgent=2) | (colAgent-1=0&rowAgent=3) | (colAgent-1=26&rowAgent=3) | (colAgent-1=0&rowAgent=4) | (colAgent-1=26&rowAgent=4) | (colAgent-1=0&rowAgent=5) | (colAgent-1=26&rowAgent=5) | (colAgent-1=0&rowAgent=6) | (colAgent-1=26&rowAgent=6) | (colAgent-1=0&rowAgent=7) | (colAgent-1=26&rowAgent=7) | (colAgent-1=0&rowAgent=8) | (colAgent-1=26&rowAgent=8) | (colAgent-1=0&rowAgent=9) | (colAgent-1=26&rowAgent=9) | (colAgent-1=0&rowAgent=10) | (colAgent-1=26&rowAgent=10) | (colAgent-1=0&rowAgent=11) | (colAgent-1=26&rowAgent=11) | (colAgent-1=0&rowAgent=12) | (colAgent-1=26&rowAgent=12) | (colAgent-1=0&rowAgent=13) | (colAgent-1=26&rowAgent=13) | (colAgent-1=0&rowAgent=14) | (colAgent-1=26&rowAgent=14) | (colAgent-1=0&rowAgent=15) | (colAgent-1=26&rowAgent=15) | (colAgent-1=0&rowAgent=16) | (colAgent-1=26&rowAgent=16) | (colAgent-1=0&rowAgent=17) | (colAgent-1=26&rowAgent=17) | (colAgent-1=0&rowAgent=18) | (colAgent-1=26&rowAgent=18) | (colAgent-1=0&rowAgent=19) | (colAgent-1=26&rowAgent=19) | (colAgent-1=0&rowAgent=20) | (colAgent-1=26&rowAgent=20) | (colAgent-1=0&rowAgent=21) | (colAgent-1=1&rowAgent=21) | (colAgent-1=2&rowAgent=21) | (colAgent-1=3&rowAgent=21) | (colAgent-1=4&rowAgent=21) | (colAgent-1=5&rowAgent=21) | (colAgent-1=6&rowAgent=21) | (colAgent-1=7&rowAgent=21) | (colAgent-1=8&rowAgent=21) | (colAgent-1=9&rowAgent=21) | (colAgent-1=10&rowAgent=21) | (colAgent-1=11&rowAgent=21) | (colAgent-1=12&rowAgent=21) | (colAgent-1=13&rowAgent=21) | (colAgent-1=14&rowAgent=21) | (colAgent-1=15&rowAgent=21) | (colAgent-1=16&rowAgent=21) | (colAgent-1=17&rowAgent=21) | (colAgent-1=18&rowAgent=21) | (colAgent-1=19&rowAgent=21) | (colAgent-1=20&rowAgent=21) | (colAgent-1=21&rowAgent=21) | (colAgent-1=22&rowAgent=21) | (colAgent-1=23&rowAgent=21) | (colAgent-1=24&rowAgent=21) | (colAgent-1=25&rowAgent=21) | (colAgent-1=26&rowAgent=21);
+formula AgentIsOnLava = (colAgent=16&rowAgent=1) | (colAgent=17&rowAgent=1) | (colAgent=18&rowAgent=1) | (colAgent=19&rowAgent=1) | (colAgent=16&rowAgent=2) | (colAgent=17&rowAgent=2) | (colAgent=18&rowAgent=2) | (colAgent=19&rowAgent=2) | (colAgent=10&rowAgent=3) | (colAgent=11&rowAgent=3) | (colAgent=12&rowAgent=3) | (colAgent=10&rowAgent=4) | (colAgent=11&rowAgent=4) | (colAgent=12&rowAgent=4) | (colAgent=10&rowAgent=5) | (colAgent=11&rowAgent=5) | (colAgent=12&rowAgent=5) | (colAgent=10&rowAgent=6) | (colAgent=11&rowAgent=6) | (colAgent=12&rowAgent=6) | (colAgent=16&rowAgent=7) | (colAgent=17&rowAgent=7) | (colAgent=18&rowAgent=7) | (colAgent=19&rowAgent=7) | (colAgent=20&rowAgent=7) | (colAgent=21&rowAgent=7) | (colAgent=22&rowAgent=7) | (colAgent=23&rowAgent=7) | (colAgent=16&rowAgent=8) | (colAgent=17&rowAgent=8) | (colAgent=18&rowAgent=8) | (colAgent=19&rowAgent=8) | (colAgent=20&rowAgent=8) | (colAgent=21&rowAgent=8) | (colAgent=22&rowAgent=8) | (colAgent=23&rowAgent=8) | (colAgent=16&rowAgent=9) | (colAgent=17&rowAgent=9) | (colAgent=18&rowAgent=9) | (colAgent=19&rowAgent=9) | (colAgent=20&rowAgent=9) | (colAgent=21&rowAgent=9) | (colAgent=22&rowAgent=9) | (colAgent=23&rowAgent=9) | (colAgent=16&rowAgent=10) | (colAgent=17&rowAgent=10) | (colAgent=18&rowAgent=10) | (colAgent=19&rowAgent=10) | (colAgent=20&rowAgent=10) | (colAgent=21&rowAgent=10) | (colAgent=22&rowAgent=10) | (colAgent=23&rowAgent=10) | (colAgent=8&rowAgent=11) | (colAgent=9&rowAgent=11) | (colAgent=10&rowAgent=11) | (colAgent=11&rowAgent=11) | (colAgent=12&rowAgent=11) | (colAgent=16&rowAgent=11) | (colAgent=17&rowAgent=11) | (colAgent=18&rowAgent=11) | (colAgent=19&rowAgent=11) | (colAgent=20&rowAgent=11) | (colAgent=21&rowAgent=11) | (colAgent=22&rowAgent=11) | (colAgent=23&rowAgent=11) | (colAgent=8&rowAgent=12) | (colAgent=9&rowAgent=12) | (colAgent=10&rowAgent=12) | (colAgent=11&rowAgent=12) | (colAgent=12&rowAgent=12) | (colAgent=8&rowAgent=13) | (colAgent=9&rowAgent=13) | (colAgent=10&rowAgent=13) | (colAgent=11&rowAgent=13) | (colAgent=12&rowAgent=13) | (colAgent=8&rowAgent=14) | (colAgent=9&rowAgent=14) | (colAgent=10&rowAgent=14) | (colAgent=11&rowAgent=14) | (colAgent=12&rowAgent=14) | (colAgent=22&rowAgent=14) | (colAgent=23&rowAgent=14) | (colAgent=24&rowAgent=14) | (colAgent=25&rowAgent=14) | (colAgent=8&rowAgent=15) | (colAgent=9&rowAgent=15) | (colAgent=10&rowAgent=15) | (colAgent=11&rowAgent=15) | (colAgent=12&rowAgent=15) | (colAgent=22&rowAgent=15) | (colAgent=23&rowAgent=15) | (colAgent=24&rowAgent=15) | (colAgent=25&rowAgent=15) | (colAgent=8&rowAgent=16) | (colAgent=9&rowAgent=16) | (colAgent=10&rowAgent=16) | (colAgent=11&rowAgent=16) | (colAgent=12&rowAgent=16) | (colAgent=22&rowAgent=16) | (colAgent=23&rowAgent=16) | (colAgent=24&rowAgent=16) | (colAgent=25&rowAgent=16) | (colAgent=22&rowAgent=17) | (colAgent=23&rowAgent=17) | (colAgent=24&rowAgent=17) | (colAgent=25&rowAgent=17);
+formula AgentIsOnGoal = (colAgent=25&rowAgent=10);
+init
+ true
+endinit
+
+
+module Agent
+ colAgent : [1..25];
+ rowAgent : [1..20];
+ viewAgent : [0..3];
+
+ [Agent_turn_right] !AgentIsOnSlippery & !AgentIsOnLava &true -> 1.000000: (viewAgent'=mod(viewAgent+1,4));
+ [Agent_turn_left] !AgentIsOnSlippery & !AgentIsOnLava &viewAgent>0 -> 1.000000: (viewAgent'=viewAgent-1);
+ [Agent_turn_left] !AgentIsOnSlippery & !AgentIsOnLava &viewAgent=0 -> 1.000000: (viewAgent'=3);
+ [Agent_move_North] viewAgent=3 & !AgentIsOnSlippery & !AgentIsOnLava & !AgentIsOnGoal & !AgentCannotMoveNorthWall -> 1.000000: (rowAgent'=rowAgent-1);
+ [Agent_move_East] viewAgent=0 & !AgentIsOnSlippery & !AgentIsOnLava & !AgentIsOnGoal & !AgentCannotMoveEastWall -> 1.000000: (colAgent'=colAgent+1);
+ [Agent_move_South] viewAgent=1 & !AgentIsOnSlippery & !AgentIsOnLava & !AgentIsOnGoal & !AgentCannotMoveSouthWall -> 1.000000: (rowAgent'=rowAgent+1);
+ [Agent_move_West] viewAgent=2 & !AgentIsOnSlippery & !AgentIsOnLava & !AgentIsOnGoal & !AgentCannotMoveWestWall -> 1.000000: (colAgent'=colAgent-1);
+ [Agent_move_North] viewAgent=3 & AgentIsOnSlipperyNorth & !AgentCannotSlipNorth & !AgentCannotSlipNorthEast & !AgentCannotSlipNorthWest -> 0.950000: (rowAgent'=rowAgent-1) + 0.025000: (rowAgent'=rowAgent-1)&(colAgent'=colAgent+1) + 0.025000: (rowAgent'=rowAgent-1)&(colAgent'=colAgent-1);
+ [Agent_move_North] viewAgent=3 & AgentIsOnSlipperyNorth & AgentCannotSlipNorth & !AgentCannotSlipNorthEast & !AgentCannotSlipNorthWest -> 0.000000: (rowAgent'=rowAgent-1)&(colAgent'=colAgent+1) + 0.000000: (rowAgent'=rowAgent-1)&(colAgent'=colAgent-1);
+ [Agent_move_North] viewAgent=3 & AgentIsOnSlipperyNorth & !AgentCannotSlipNorth & AgentCannotSlipNorthEast & !AgentCannotSlipNorthWest -> 0.950000: (rowAgent'=rowAgent-1) + 0.050000: (rowAgent'=rowAgent-1)&(colAgent'=colAgent-1);
+ [Agent_move_North] viewAgent=3 & AgentIsOnSlipperyNorth & !AgentCannotSlipNorth & !AgentCannotSlipNorthEast & AgentCannotSlipNorthWest -> 0.950000: (rowAgent'=rowAgent-1) + 0.050000: (rowAgent'=rowAgent-1)&(colAgent'=colAgent+1);
+ [Agent_move_North] viewAgent=3 & AgentIsOnSlipperyNorth & AgentCannotSlipNorth & AgentCannotSlipNorthEast & !AgentCannotSlipNorthWest -> 1.000000: (rowAgent'=rowAgent-1)&(colAgent'=colAgent-1);
+ [Agent_move_North] viewAgent=3 & AgentIsOnSlipperyNorth & !AgentCannotSlipNorth & AgentCannotSlipNorthEast & AgentCannotSlipNorthWest -> 1.000000: (rowAgent'=rowAgent-1);
+ [Agent_move_North] viewAgent=3 & AgentIsOnSlipperyNorth & AgentCannotSlipNorth & !AgentCannotSlipNorthEast & AgentCannotSlipNorthWest -> 1.000000: (rowAgent'=rowAgent-1)&(colAgent'=colAgent+1);
+ [Agent_move_North] viewAgent=3 & AgentIsOnSlipperyNorth & AgentCannotSlipNorth & AgentCannotSlipNorthEast & AgentCannotSlipNorthWest -> true;
+ [Agent_move_West] viewAgent=2 & AgentIsOnSlipperyNorth & !AgentCannotSlipWest & !AgentCannotSlipNorthWest -> 0.950000: (colAgent'=colAgent-1) + 0.050000: (colAgent'=colAgent-1)&(rowAgent'=rowAgent-1);
+ [Agent_move_West] viewAgent=2 & AgentIsOnSlipperyNorth & AgentCannotSlipWest & !AgentCannotSlipNorthWest -> 1.000000: (colAgent'=colAgent-1)&(rowAgent'=rowAgent-1);
+ [Agent_move_West] viewAgent=2 & AgentIsOnSlipperyNorth & !AgentCannotSlipWest & AgentCannotSlipNorthWest -> 1.000000: (colAgent'=colAgent-1);
+ [Agent_move_West] viewAgent=2 & AgentIsOnSlipperyNorth & AgentCannotSlipWest & AgentCannotSlipNorthWest -> true;
+ [Agent_move_East] viewAgent=0 & AgentIsOnSlipperyNorth & !AgentCannotSlipEast & !AgentCannotSlipNorthEast -> 0.950000: (colAgent'=colAgent+1) + 0.050000: (colAgent'=colAgent+1)&(rowAgent'=rowAgent-1);
+ [Agent_move_East] viewAgent=0 & AgentIsOnSlipperyNorth & AgentCannotSlipEast & !AgentCannotSlipNorthEast -> 1.000000: (colAgent'=colAgent+1)&(rowAgent'=rowAgent-1);
+ [Agent_move_East] viewAgent=0 & AgentIsOnSlipperyNorth & !AgentCannotSlipEast & AgentCannotSlipNorthEast -> 1.000000: (colAgent'=colAgent+1);
+ [Agent_move_East] viewAgent=0 & AgentIsOnSlipperyNorth & AgentCannotSlipEast & AgentCannotSlipNorthEast -> true;
+ [Agent_move_South] viewAgent=1 & AgentIsOnSlipperyNorth & !AgentCannotSlipSouth -> 0.950000: (rowAgent'=rowAgent+1) + 0.050000: true;
+ [Agent_move_South] viewAgent=1 & AgentIsOnSlipperyNorth & AgentCannotSlipSouth -> 1.000000: true;
+ [Agent_turn_right] AgentIsOnSlipperyNorth & !AgentCannotSlipNorth & true -> 0.950000: (viewAgent'=mod(viewAgent+1,4)) + 0.050000: (rowAgent'=rowAgent-1);
+ [Agent_turn_right] AgentIsOnSlipperyNorth & AgentCannotSlipNorth & true -> 1.000000: (viewAgent'=mod(viewAgent+1,4));
+ [Agent_turn_left] AgentIsOnSlipperyNorth & !AgentCannotSlipNorth & viewAgent>0 -> 0.950000: (viewAgent'=viewAgent-1) + 0.050000: (rowAgent'=rowAgent-1);
+ [Agent_turn_left] AgentIsOnSlipperyNorth & !AgentCannotSlipNorth & viewAgent=0 -> 0.950000: (viewAgent'=3) + 0.050000: (rowAgent'=rowAgent-1);
+ [Agent_turn_left] AgentIsOnSlipperyNorth & AgentCannotSlipNorth & viewAgent>0 -> 1.000000: (viewAgent'=viewAgent-1);
+ [Agent_turn_left] AgentIsOnSlipperyNorth & AgentCannotSlipNorth & viewAgent=0 -> 1.000000: (viewAgent'=3);
+ [Agent_move_East] viewAgent=0 & AgentIsOnSlipperyEast & !AgentCannotSlipEast & !AgentCannotSlipSouthEast & !AgentCannotSlipNorthEast -> 0.950000: (colAgent'=colAgent+1) + 0.025000: (colAgent'=colAgent+1)&(rowAgent'=rowAgent+1) + 0.025000: (colAgent'=colAgent+1)&(rowAgent'=rowAgent-1);
+ [Agent_move_East] viewAgent=0 & AgentIsOnSlipperyEast & AgentCannotSlipEast & !AgentCannotSlipSouthEast & !AgentCannotSlipNorthEast -> 0.000000: (colAgent'=colAgent+1)&(rowAgent'=rowAgent+1) + 0.000000: (colAgent'=colAgent+1)&(rowAgent'=rowAgent-1);
+ [Agent_move_East] viewAgent=0 & AgentIsOnSlipperyEast & !AgentCannotSlipEast & AgentCannotSlipSouthEast & !AgentCannotSlipNorthEast -> 0.950000: (colAgent'=colAgent+1) + 0.050000: (colAgent'=colAgent+1)&(rowAgent'=rowAgent-1);
+ [Agent_move_East] viewAgent=0 & AgentIsOnSlipperyEast & !AgentCannotSlipEast & !AgentCannotSlipSouthEast & AgentCannotSlipNorthEast -> 0.950000: (colAgent'=colAgent+1) + 0.050000: (colAgent'=colAgent+1)&(rowAgent'=rowAgent+1);
+ [Agent_move_East] viewAgent=0 & AgentIsOnSlipperyEast & AgentCannotSlipEast & AgentCannotSlipSouthEast & !AgentCannotSlipNorthEast -> 1.000000: (colAgent'=colAgent+1)&(rowAgent'=rowAgent-1);
+ [Agent_move_East] viewAgent=0 & AgentIsOnSlipperyEast & !AgentCannotSlipEast & AgentCannotSlipSouthEast & AgentCannotSlipNorthEast -> 1.000000: (colAgent'=colAgent+1);
+ [Agent_move_East] viewAgent=0 & AgentIsOnSlipperyEast & AgentCannotSlipEast & !AgentCannotSlipSouthEast & AgentCannotSlipNorthEast -> 1.000000: (colAgent'=colAgent+1)&(rowAgent'=rowAgent+1);
+ [Agent_move_East] viewAgent=0 & AgentIsOnSlipperyEast & AgentCannotSlipEast & AgentCannotSlipSouthEast & AgentCannotSlipNorthEast -> true;
+ [Agent_move_North] viewAgent=3 & AgentIsOnSlipperyEast & !AgentCannotSlipNorth & !AgentCannotSlipNorthEast -> 0.950000: (rowAgent'=rowAgent-1) + 0.050000: (colAgent'=colAgent+1)&(rowAgent'=rowAgent-1);
+ [Agent_move_North] viewAgent=3 & AgentIsOnSlipperyEast & AgentCannotSlipNorth & !AgentCannotSlipNorthEast -> 1.000000: (colAgent'=colAgent+1)&(rowAgent'=rowAgent-1);
+ [Agent_move_North] viewAgent=3 & AgentIsOnSlipperyEast & !AgentCannotSlipNorth & AgentCannotSlipNorthEast -> 1.000000: (rowAgent'=rowAgent-1);
+ [Agent_move_North] viewAgent=3 & AgentIsOnSlipperyEast & AgentCannotSlipNorth & AgentCannotSlipNorthEast -> true;
+ [Agent_move_South] viewAgent=1 & AgentIsOnSlipperyEast & !AgentCannotSlipSouth & !AgentCannotSlipSouthEast -> 0.950000: (rowAgent'=rowAgent+1) + 0.050000: (colAgent'=colAgent+1)&(rowAgent'=rowAgent+1);
+ [Agent_move_South] viewAgent=1 & AgentIsOnSlipperyEast & AgentCannotSlipSouth & !AgentCannotSlipSouthEast -> 1.000000: (colAgent'=colAgent+1)&(rowAgent'=rowAgent+1);
+ [Agent_move_South] viewAgent=1 & AgentIsOnSlipperyEast & !AgentCannotSlipSouth & AgentCannotSlipSouthEast -> 1.000000: (rowAgent'=rowAgent+1);
+ [Agent_move_South] viewAgent=1 & AgentIsOnSlipperyEast & AgentCannotSlipSouth & AgentCannotSlipSouthEast -> true;
+ [Agent_move_West] viewAgent=2 & AgentIsOnSlipperyEast & !AgentCannotSlipEast -> 0.950000: (colAgent'=colAgent+1) + 0.050000: true;
+ [Agent_move_West] viewAgent=2 & AgentIsOnSlipperyEast & AgentCannotSlipEast -> 1.000000: true;
+ [Agent_turn_right] AgentIsOnSlipperyEast & !AgentCannotSlipEast & true -> 0.950000: (viewAgent'=mod(viewAgent+1,4)) + 0.050000: (colAgent'=colAgent+1);
+ [Agent_turn_right] AgentIsOnSlipperyEast & AgentCannotSlipEast & true -> 1.000000: (viewAgent'=mod(viewAgent+1,4));
+ [Agent_turn_left] AgentIsOnSlipperyEast & !AgentCannotSlipEast & viewAgent>0 -> 0.950000: (viewAgent'=viewAgent-1) + 0.050000: (colAgent'=colAgent+1);
+ [Agent_turn_left] AgentIsOnSlipperyEast & !AgentCannotSlipEast & viewAgent=0 -> 0.950000: (viewAgent'=3) + 0.050000: (colAgent'=colAgent+1);
+ [Agent_turn_left] AgentIsOnSlipperyEast & AgentCannotSlipEast & viewAgent>0 -> 1.000000: (viewAgent'=viewAgent-1);
+ [Agent_turn_left] AgentIsOnSlipperyEast & AgentCannotSlipEast & viewAgent=0 -> 1.000000: (viewAgent'=3);
+ [Agent_move_South] viewAgent=1 & AgentIsOnSlipperySouth & !AgentCannotSlipSouth & !AgentCannotSlipSouthEast & !AgentCannotSlipSouthWest -> 0.950000: (rowAgent'=rowAgent+1) + 0.025000: (rowAgent'=rowAgent+1)&(colAgent'=colAgent+1) + 0.025000: (rowAgent'=rowAgent+1)&(colAgent'=colAgent-1);
+ [Agent_move_South] viewAgent=1 & AgentIsOnSlipperySouth & AgentCannotSlipSouth & !AgentCannotSlipSouthEast & !AgentCannotSlipSouthWest -> 0.000000: (rowAgent'=rowAgent+1)&(colAgent'=colAgent+1) + 0.000000: (rowAgent'=rowAgent+1)&(colAgent'=colAgent-1);
+ [Agent_move_South] viewAgent=1 & AgentIsOnSlipperySouth & !AgentCannotSlipSouth & AgentCannotSlipSouthEast & !AgentCannotSlipSouthWest -> 0.950000: (rowAgent'=rowAgent+1) + 0.050000: (rowAgent'=rowAgent+1)&(colAgent'=colAgent-1);
+ [Agent_move_South] viewAgent=1 & AgentIsOnSlipperySouth & !AgentCannotSlipSouth & !AgentCannotSlipSouthEast & AgentCannotSlipSouthWest -> 0.950000: (rowAgent'=rowAgent+1) + 0.050000: (rowAgent'=rowAgent+1)&(colAgent'=colAgent+1);
+ [Agent_move_South] viewAgent=1 & AgentIsOnSlipperySouth & AgentCannotSlipSouth & AgentCannotSlipSouthEast & !AgentCannotSlipSouthWest -> 1.000000: (rowAgent'=rowAgent+1)&(colAgent'=colAgent-1);
+ [Agent_move_South] viewAgent=1 & AgentIsOnSlipperySouth & !AgentCannotSlipSouth & AgentCannotSlipSouthEast & AgentCannotSlipSouthWest -> 1.000000: (rowAgent'=rowAgent+1);
+ [Agent_move_South] viewAgent=1 & AgentIsOnSlipperySouth & AgentCannotSlipSouth & !AgentCannotSlipSouthEast & AgentCannotSlipSouthWest -> 1.000000: (rowAgent'=rowAgent+1)&(colAgent'=colAgent+1);
+ [Agent_move_South] viewAgent=1 & AgentIsOnSlipperySouth & AgentCannotSlipSouth & AgentCannotSlipSouthEast & AgentCannotSlipSouthWest -> true;
+ [Agent_move_West] viewAgent=2 & AgentIsOnSlipperySouth & !AgentCannotSlipWest & !AgentCannotSlipSouthWest -> 0.950000: (colAgent'=colAgent-1) + 0.050000: (colAgent'=colAgent-1)&(rowAgent'=rowAgent+1);
+ [Agent_move_West] viewAgent=2 & AgentIsOnSlipperySouth & AgentCannotSlipWest & !AgentCannotSlipSouthWest -> 1.000000: (colAgent'=colAgent-1)&(rowAgent'=rowAgent+1);
+ [Agent_move_West] viewAgent=2 & AgentIsOnSlipperySouth & !AgentCannotSlipWest & AgentCannotSlipSouthWest -> 1.000000: (colAgent'=colAgent-1);
+ [Agent_move_West] viewAgent=2 & AgentIsOnSlipperySouth & AgentCannotSlipWest & AgentCannotSlipSouthWest -> true;
+ [Agent_move_East] viewAgent=0 & AgentIsOnSlipperySouth & !AgentCannotSlipEast & !AgentCannotSlipSouthEast -> 0.950000: (colAgent'=colAgent+1) + 0.050000: (colAgent'=colAgent+1)&(rowAgent'=rowAgent+1);
+ [Agent_move_East] viewAgent=0 & AgentIsOnSlipperySouth & AgentCannotSlipEast & !AgentCannotSlipSouthEast -> 1.000000: (colAgent'=colAgent+1)&(rowAgent'=rowAgent+1);
+ [Agent_move_East] viewAgent=0 & AgentIsOnSlipperySouth & !AgentCannotSlipEast & AgentCannotSlipSouthEast -> 1.000000: (colAgent'=colAgent+1);
+ [Agent_move_East] viewAgent=0 & AgentIsOnSlipperySouth & AgentCannotSlipEast & AgentCannotSlipSouthEast -> true;
+ [Agent_move_North] viewAgent=3 & AgentIsOnSlipperySouth & !AgentCannotSlipSouth -> 0.950000: (rowAgent'=rowAgent-1) + 0.050000: true;
+ [Agent_move_North] viewAgent=3 & AgentIsOnSlipperySouth & AgentCannotSlipSouth -> 1.000000: true;
+ [Agent_turn_right] AgentIsOnSlipperySouth & !AgentCannotSlipSouth & true -> 0.950000: (viewAgent'=mod(viewAgent+1,4)) + 0.050000: (rowAgent'=rowAgent+1);
+ [Agent_turn_right] AgentIsOnSlipperySouth & AgentCannotSlipSouth & true -> 1.000000: (viewAgent'=mod(viewAgent+1,4));
+ [Agent_turn_left] AgentIsOnSlipperySouth & !AgentCannotSlipSouth & viewAgent>0 -> 0.950000: (viewAgent'=viewAgent-1) + 0.050000: (rowAgent'=rowAgent+1);
+ [Agent_turn_left] AgentIsOnSlipperySouth & !AgentCannotSlipSouth & viewAgent=0 -> 0.950000: (viewAgent'=3) + 0.050000: (rowAgent'=rowAgent+1);
+ [Agent_turn_left] AgentIsOnSlipperySouth & AgentCannotSlipSouth & viewAgent>0 -> 1.000000: (viewAgent'=viewAgent-1);
+ [Agent_turn_left] AgentIsOnSlipperySouth & AgentCannotSlipSouth & viewAgent=0 -> 1.000000: (viewAgent'=3);
+ [Agent_move_West] viewAgent=2 & AgentIsOnSlipperyWest & !AgentCannotSlipWest & !AgentCannotSlipSouthWest & !AgentCannotSlipNorthWest -> 0.950000: (colAgent'=colAgent-1) + 0.025000: (colAgent'=colAgent-1)&(rowAgent'=rowAgent+1) + 0.025000: (colAgent'=colAgent-1)&(rowAgent'=rowAgent-1);
+ [Agent_move_West] viewAgent=2 & AgentIsOnSlipperyWest & AgentCannotSlipWest & !AgentCannotSlipSouthWest & !AgentCannotSlipNorthWest -> 0.000000: (colAgent'=colAgent-1)&(rowAgent'=rowAgent+1) + 0.000000: (colAgent'=colAgent-1)&(rowAgent'=rowAgent-1);
+ [Agent_move_West] viewAgent=2 & AgentIsOnSlipperyWest & !AgentCannotSlipWest & AgentCannotSlipSouthWest & !AgentCannotSlipNorthWest -> 0.950000: (colAgent'=colAgent-1) + 0.050000: (colAgent'=colAgent-1)&(rowAgent'=rowAgent-1);
+ [Agent_move_West] viewAgent=2 & AgentIsOnSlipperyWest & !AgentCannotSlipWest & !AgentCannotSlipSouthWest & AgentCannotSlipNorthWest -> 0.950000: (colAgent'=colAgent-1) + 0.050000: (colAgent'=colAgent-1)&(rowAgent'=rowAgent+1);
+ [Agent_move_West] viewAgent=2 & AgentIsOnSlipperyWest & AgentCannotSlipWest & AgentCannotSlipSouthWest & !AgentCannotSlipNorthWest -> 1.000000: (colAgent'=colAgent-1)&(rowAgent'=rowAgent-1);
+ [Agent_move_West] viewAgent=2 & AgentIsOnSlipperyWest & !AgentCannotSlipWest & AgentCannotSlipSouthWest & AgentCannotSlipNorthWest -> 1.000000: (colAgent'=colAgent-1);
+ [Agent_move_West] viewAgent=2 & AgentIsOnSlipperyWest & AgentCannotSlipWest & !AgentCannotSlipSouthWest & AgentCannotSlipNorthWest -> 1.000000: (colAgent'=colAgent-1)&(rowAgent'=rowAgent+1);
+ [Agent_move_West] viewAgent=2 & AgentIsOnSlipperyWest & AgentCannotSlipWest & AgentCannotSlipSouthWest & AgentCannotSlipNorthWest -> true;
+ [Agent_move_North] viewAgent=3 & AgentIsOnSlipperyWest & !AgentCannotSlipNorth & !AgentCannotSlipNorthWest -> 0.950000: (rowAgent'=rowAgent-1) + 0.050000: (colAgent'=colAgent-1)&(rowAgent'=rowAgent-1);
+ [Agent_move_North] viewAgent=3 & AgentIsOnSlipperyWest & AgentCannotSlipNorth & !AgentCannotSlipNorthWest -> 1.000000: (colAgent'=colAgent-1)&(rowAgent'=rowAgent-1);
+ [Agent_move_North] viewAgent=3 & AgentIsOnSlipperyWest & !AgentCannotSlipNorth & AgentCannotSlipNorthWest -> 1.000000: (rowAgent'=rowAgent-1);
+ [Agent_move_North] viewAgent=3 & AgentIsOnSlipperyWest & AgentCannotSlipNorth & AgentCannotSlipNorthWest -> true;
+ [Agent_move_South] viewAgent=1 & AgentIsOnSlipperyWest & !AgentCannotSlipSouth & !AgentCannotSlipSouthWest -> 0.950000: (rowAgent'=rowAgent+1) + 0.050000: (colAgent'=colAgent-1)&(rowAgent'=rowAgent+1);
+ [Agent_move_South] viewAgent=1 & AgentIsOnSlipperyWest & AgentCannotSlipSouth & !AgentCannotSlipSouthWest -> 1.000000: (colAgent'=colAgent-1)&(rowAgent'=rowAgent+1);
+ [Agent_move_South] viewAgent=1 & AgentIsOnSlipperyWest & !AgentCannotSlipSouth & AgentCannotSlipSouthWest -> 1.000000: (rowAgent'=rowAgent+1);
+ [Agent_move_South] viewAgent=1 & AgentIsOnSlipperyWest & AgentCannotSlipSouth & AgentCannotSlipSouthWest -> true;
+ [Agent_move_East] viewAgent=0 & AgentIsOnSlipperyWest & !AgentCannotSlipWest -> 0.950000: (colAgent'=colAgent-1) + 0.050000: true;
+ [Agent_move_East] viewAgent=0 & AgentIsOnSlipperyWest & AgentCannotSlipWest -> 1.000000: true;
+ [Agent_turn_right] AgentIsOnSlipperyWest & !AgentCannotSlipWest & true -> 0.950000: (viewAgent'=mod(viewAgent+1,4)) + 0.050000: (colAgent'=colAgent-1);
+ [Agent_turn_right] AgentIsOnSlipperyWest & AgentCannotSlipWest & true -> 1.000000: (viewAgent'=mod(viewAgent+1,4));
+ [Agent_turn_left] AgentIsOnSlipperyWest & !AgentCannotSlipWest & viewAgent>0 -> 0.950000: (viewAgent'=viewAgent-1) + 0.050000: (colAgent'=colAgent-1);
+ [Agent_turn_left] AgentIsOnSlipperyWest & !AgentCannotSlipWest & viewAgent=0 -> 0.950000: (viewAgent'=3) + 0.050000: (colAgent'=colAgent-1);
+ [Agent_turn_left] AgentIsOnSlipperyWest & AgentCannotSlipWest & viewAgent>0 -> 1.000000: (viewAgent'=viewAgent-1);
+ [Agent_turn_left] AgentIsOnSlipperyWest & AgentCannotSlipWest & viewAgent=0 -> 1.000000: (viewAgent'=3);
+ [Agent_move_East] viewAgent=0 & AgentIsOnSlipperyNorthEast & !AgentCannotSlipNorthEast & !AgentCannotSlipEast -> 0.950000: (colAgent'=colAgent+1) + 0.050000: (rowAgent'=rowAgent-1)&(colAgent'=colAgent+1);
+ [Agent_move_East] viewAgent=0 & AgentIsOnSlipperyNorthEast & !AgentCannotSlipNorthEast & AgentCannotSlipEast -> 1.000000: (rowAgent'=rowAgent-1)&(colAgent'=colAgent+1);
+ [Agent_move_East] viewAgent=0 & AgentIsOnSlipperyNorthEast & AgentCannotSlipNorthEast & !AgentCannotSlipEast -> 1.000000: (colAgent'=colAgent+1);
+ [Agent_move_East] viewAgent=0 & AgentIsOnSlipperyNorthEast & AgentCannotSlipNorthEast & AgentCannotSlipEast -> 1.000000: true;
+ [Agent_move_North] viewAgent=3 & AgentIsOnSlipperyNorthEast & !AgentCannotSlipNorthEast & !AgentCannotSlipNorth -> 0.950000: (rowAgent'=rowAgent-1) + 0.050000: (colAgent'=colAgent+1)&(rowAgent'=rowAgent-1);
+ [Agent_move_North] viewAgent=3 & AgentIsOnSlipperyNorthEast & !AgentCannotSlipNorthEast & AgentCannotSlipNorth -> 1.000000: (rowAgent'=rowAgent-1)&(colAgent'=colAgent+1);
+ [Agent_move_North] viewAgent=3 & AgentIsOnSlipperyNorthEast & AgentCannotSlipNorthEast & !AgentCannotSlipNorth -> 1.000000: (rowAgent'=rowAgent-1);
+ [Agent_move_North] viewAgent=3 & AgentIsOnSlipperyNorthEast & AgentCannotSlipNorthEast & AgentCannotSlipNorth -> 1.000000: true;
+ [Agent_move_South] viewAgent=1 & AgentIsOnSlipperyNorthEast & !AgentCannotSlipNorthEast & !AgentCannotSlipEast & !AgentCannotSlipSouthEast & !AgentCannotSlipSouth -> 0.950000: (rowAgent'=rowAgent+1) + 0.016667: (rowAgent'=rowAgent-1)&(colAgent'=colAgent+1) + 0.016667: (colAgent'=colAgent+1) + 0.016667: (rowAgent'=rowAgent+1)&(colAgent'=colAgent+1);
+ [Agent_move_South] viewAgent=1 & AgentIsOnSlipperyNorthEast & !AgentCannotSlipNorthEast & !AgentCannotSlipEast & !AgentCannotSlipSouthEast & AgentCannotSlipSouth -> 0.333333: (rowAgent'=rowAgent-1)&(colAgent'=colAgent+1) + 0.333333: (colAgent'=colAgent+1) + 0.333333: (rowAgent'=rowAgent+1)&(colAgent'=colAgent+1);
+ [Agent_move_South] viewAgent=1 & AgentIsOnSlipperyNorthEast & !AgentCannotSlipNorthEast & !AgentCannotSlipEast & AgentCannotSlipSouthEast & !AgentCannotSlipSouth -> 0.982759: (rowAgent'=rowAgent+1) + 0.050847: (rowAgent'=rowAgent-1)&(colAgent'=colAgent+1) + 0.050847: (colAgent'=colAgent+1);
+ [Agent_move_South] viewAgent=1 & AgentIsOnSlipperyNorthEast & !AgentCannotSlipNorthEast & !AgentCannotSlipEast & AgentCannotSlipSouthEast & AgentCannotSlipSouth -> 0.500000: (rowAgent'=rowAgent-1)&(colAgent'=colAgent+1) + 0.500000: (colAgent'=colAgent+1);
+ [Agent_move_South] viewAgent=1 & AgentIsOnSlipperyNorthEast & !AgentCannotSlipNorthEast & AgentCannotSlipEast & !AgentCannotSlipSouthEast & !AgentCannotSlipSouth -> 0.982759: (rowAgent'=rowAgent+1) + 0.050847: (rowAgent'=rowAgent-1)&(colAgent'=colAgent+1) + 0.050847: (rowAgent'=rowAgent+1)&(colAgent'=colAgent+1);
+ [Agent_move_South] viewAgent=1 & AgentIsOnSlipperyNorthEast & !AgentCannotSlipNorthEast & AgentCannotSlipEast & !AgentCannotSlipSouthEast & AgentCannotSlipSouth -> 0.500000: (rowAgent'=rowAgent-1)&(colAgent'=colAgent+1) + 0.500000: (rowAgent'=rowAgent+1)&(colAgent'=colAgent+1);
+ [Agent_move_South] viewAgent=1 & AgentIsOnSlipperyNorthEast & !AgentCannotSlipNorthEast & AgentCannotSlipEast & AgentCannotSlipSouthEast & !AgentCannotSlipSouth -> 0.982759: (rowAgent'=rowAgent+1) + 0.051724: (rowAgent'=rowAgent-1)&(colAgent'=colAgent+1);
+ [Agent_move_South] viewAgent=1 & AgentIsOnSlipperyNorthEast & !AgentCannotSlipNorthEast & AgentCannotSlipEast & AgentCannotSlipSouthEast & AgentCannotSlipSouth -> 1.000000: (rowAgent'=rowAgent-1)&(colAgent'=colAgent+1);
+ [Agent_move_South] viewAgent=1 & AgentIsOnSlipperyNorthEast & AgentCannotSlipNorthEast & !AgentCannotSlipEast & !AgentCannotSlipSouthEast & !AgentCannotSlipSouth -> 0.982759: (rowAgent'=rowAgent+1) + 0.050847: (colAgent'=colAgent+1) + 0.050847: (rowAgent'=rowAgent+1)&(colAgent'=colAgent+1);
+ [Agent_move_South] viewAgent=1 & AgentIsOnSlipperyNorthEast & AgentCannotSlipNorthEast & !AgentCannotSlipEast & !AgentCannotSlipSouthEast & AgentCannotSlipSouth -> 0.500000: (colAgent'=colAgent+1) + 0.500000: (rowAgent'=rowAgent+1)&(colAgent'=colAgent+1);
+ [Agent_move_South] viewAgent=1 & AgentIsOnSlipperyNorthEast & AgentCannotSlipNorthEast & !AgentCannotSlipEast & AgentCannotSlipSouthEast & !AgentCannotSlipSouth -> 0.982759: (rowAgent'=rowAgent+1) + 0.051724: (colAgent'=colAgent+1);
+ [Agent_move_South] viewAgent=1 & AgentIsOnSlipperyNorthEast & AgentCannotSlipNorthEast & !AgentCannotSlipEast & AgentCannotSlipSouthEast & AgentCannotSlipSouth -> 1.000000: (colAgent'=colAgent+1);
+ [Agent_move_South] viewAgent=1 & AgentIsOnSlipperyNorthEast & AgentCannotSlipNorthEast & AgentCannotSlipEast & !AgentCannotSlipSouthEast & !AgentCannotSlipSouth -> 0.982759: (rowAgent'=rowAgent+1) + 0.051724: (rowAgent'=rowAgent+1)&(colAgent'=colAgent+1);
+ [Agent_move_South] viewAgent=1 & AgentIsOnSlipperyNorthEast & AgentCannotSlipNorthEast & AgentCannotSlipEast & !AgentCannotSlipSouthEast & AgentCannotSlipSouth -> 1.000000: (rowAgent'=rowAgent+1)&(colAgent'=colAgent+1);
+ [Agent_move_South] viewAgent=1 & AgentIsOnSlipperyNorthEast & AgentCannotSlipNorthEast & AgentCannotSlipEast & AgentCannotSlipSouthEast & !AgentCannotSlipSouth -> 1.000000: (rowAgent'=rowAgent+1);
+ [Agent_move_South] viewAgent=1 & AgentIsOnSlipperyNorthEast & AgentCannotSlipNorthEast & AgentCannotSlipEast & AgentCannotSlipSouthEast & AgentCannotSlipSouth -> 1.000000: true;
+ [Agent_move_West] viewAgent=2 & AgentIsOnSlipperyNorthEast & !AgentCannotSlipWest & !AgentCannotSlipNorthWest & !AgentCannotSlipNorth & !AgentCannotSlipNorthEast -> 0.950000: (colAgent'=colAgent-1) + 0.016667: (rowAgent'=rowAgent-1)&(colAgent'=colAgent-1) + 0.016667: (rowAgent'=rowAgent-1) + 0.016667: (rowAgent'=rowAgent-1)&(colAgent'=colAgent+1);
+ [Agent_move_West] viewAgent=2 & AgentIsOnSlipperyNorthEast & !AgentCannotSlipWest & !AgentCannotSlipNorthWest & !AgentCannotSlipNorth & AgentCannotSlipNorthEast -> 0.966102: (colAgent'=colAgent-1) + 0.050847: (rowAgent'=rowAgent-1)&(colAgent'=colAgent-1) + 0.050847: (rowAgent'=rowAgent-1);
+ [Agent_move_West] viewAgent=2 & AgentIsOnSlipperyNorthEast & !AgentCannotSlipWest & !AgentCannotSlipNorthWest & AgentCannotSlipNorth & !AgentCannotSlipNorthEast -> 0.966102: (colAgent'=colAgent-1) + 0.050847: (rowAgent'=rowAgent-1)&(colAgent'=colAgent-1) + 0.050847: (rowAgent'=rowAgent-1)&(colAgent'=colAgent+1);
+ [Agent_move_West] viewAgent=2 & AgentIsOnSlipperyNorthEast & !AgentCannotSlipWest & !AgentCannotSlipNorthWest & AgentCannotSlipNorth & AgentCannotSlipNorthEast -> 0.982759: (colAgent'=colAgent-1) + 0.051724: (rowAgent'=rowAgent-1)&(colAgent'=colAgent-1);
+ [Agent_move_West] viewAgent=2 & AgentIsOnSlipperyNorthEast & !AgentCannotSlipWest & AgentCannotSlipNorthWest & !AgentCannotSlipNorth & !AgentCannotSlipNorthEast -> 0.966102: (colAgent'=colAgent-1) + 0.050847: (rowAgent'=rowAgent-1) + 0.050847: (rowAgent'=rowAgent-1)&(colAgent'=colAgent+1);
+ [Agent_move_West] viewAgent=2 & AgentIsOnSlipperyNorthEast & !AgentCannotSlipWest & AgentCannotSlipNorthWest & !AgentCannotSlipNorth & AgentCannotSlipNorthEast -> 0.982759: (colAgent'=colAgent-1) + 0.051724: (rowAgent'=rowAgent-1);
+ [Agent_move_West] viewAgent=2 & AgentIsOnSlipperyNorthEast & !AgentCannotSlipWest & AgentCannotSlipNorthWest & AgentCannotSlipNorth & !AgentCannotSlipNorthEast -> 0.982759: (colAgent'=colAgent-1) + 0.051724: (rowAgent'=rowAgent-1)&(colAgent'=colAgent+1);
+ [Agent_move_West] viewAgent=2 & AgentIsOnSlipperyNorthEast & !AgentCannotSlipWest & AgentCannotSlipNorthWest & AgentCannotSlipNorth & AgentCannotSlipNorthEast -> 1.000000: (colAgent'=colAgent-1);
+ [Agent_move_West] viewAgent=2 & AgentIsOnSlipperyNorthEast & AgentCannotSlipWest & !AgentCannotSlipNorthWest & !AgentCannotSlipNorth & !AgentCannotSlipNorthEast -> 0.333333: (rowAgent'=rowAgent-1)&(colAgent'=colAgent-1) + 0.333333: (rowAgent'=rowAgent-1) + 0.333333: (rowAgent'=rowAgent-1)&(colAgent'=colAgent+1);
+ [Agent_move_West] viewAgent=2 & AgentIsOnSlipperyNorthEast & AgentCannotSlipWest & !AgentCannotSlipNorthWest & !AgentCannotSlipNorth & AgentCannotSlipNorthEast -> 0.500000: (rowAgent'=rowAgent-1)&(colAgent'=colAgent-1) + 0.500000: (rowAgent'=rowAgent-1);
+ [Agent_move_West] viewAgent=2 & AgentIsOnSlipperyNorthEast & AgentCannotSlipWest & !AgentCannotSlipNorthWest & AgentCannotSlipNorth & !AgentCannotSlipNorthEast -> 0.500000: (rowAgent'=rowAgent-1)&(colAgent'=colAgent-1) + 0.500000: (rowAgent'=rowAgent-1)&(colAgent'=colAgent+1);
+ [Agent_move_West] viewAgent=2 & AgentIsOnSlipperyNorthEast & AgentCannotSlipWest & !AgentCannotSlipNorthWest & AgentCannotSlipNorth & AgentCannotSlipNorthEast -> 1.000000: (rowAgent'=rowAgent-1)&(colAgent'=colAgent-1);
+ [Agent_move_West] viewAgent=2 & AgentIsOnSlipperyNorthEast & AgentCannotSlipWest & AgentCannotSlipNorthWest & !AgentCannotSlipNorth & !AgentCannotSlipNorthEast -> 0.500000: (rowAgent'=rowAgent-1) + 0.500000: (rowAgent'=rowAgent-1)&(colAgent'=colAgent+1);
+ [Agent_move_West] viewAgent=2 & AgentIsOnSlipperyNorthEast & AgentCannotSlipWest & AgentCannotSlipNorthWest & !AgentCannotSlipNorth & AgentCannotSlipNorthEast -> 1.000000: (rowAgent'=rowAgent-1);
+ [Agent_move_West] viewAgent=2 & AgentIsOnSlipperyNorthEast & AgentCannotSlipWest & AgentCannotSlipNorthWest & AgentCannotSlipNorth & !AgentCannotSlipNorthEast -> 1.000000: (rowAgent'=rowAgent-1)&(colAgent'=colAgent+1);
+ [Agent_move_West] viewAgent=2 & AgentIsOnSlipperyNorthEast & AgentCannotSlipWest & AgentCannotSlipNorthWest & AgentCannotSlipNorth & AgentCannotSlipNorthEast -> 1.000000: true;
+ [Agent_turn_right] AgentIsOnSlipperyNorthEast & true & true -> 1.000000: (viewAgent'=mod(viewAgent+1,4));
+ [Agent_turn_left] AgentIsOnSlipperyNorthEast & true & viewAgent>0 -> 1.000000: (viewAgent'=viewAgent-1);
+ [Agent_turn_left] AgentIsOnSlipperyNorthEast & true & viewAgent=0 -> 1.000000: (viewAgent'=3);
+endmodule
+
diff --git a/notebooks/shielding_files_20241129T122500_n10bceo8/grid.txt b/notebooks/shielding_files_20241129T122500_n10bceo8/grid.txt
new file mode 100644
index 0000000..deb14c2
--- /dev/null
+++ b/notebooks/shielding_files_20241129T122500_n10bceo8/grid.txt
@@ -0,0 +1,49 @@
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+------------------------------------------------------
+WGWGWGWGWGWGWGWGWGWGWGWGWGWGWGWGWGWGWGWGWGWGWGWGWGWGWG
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+------------------------------------------------------
+------------------------------------------------------
+ProbTurnIntended:0.95
+ProbForwardIntended:0.95
diff --git a/notebooks/shielding_files_20241129T122500_n10bceo8/shield b/notebooks/shielding_files_20241129T122500_n10bceo8/shield
new file mode 100644
index 0000000..f51dbc8
--- /dev/null
+++ b/notebooks/shielding_files_20241129T122500_n10bceo8/shield
@@ -0,0 +1,1574 @@
+___________________________________________________________________
+Pre-Safety-Shield with absolute comparison (gamma = 1.000000):
+ model state: choice(s) [<value>: (<action {action label})>]:
+ 0: [colAgent=1 & rowAgent=1 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1: [colAgent=2 & rowAgent=1 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 2: [colAgent=3 & rowAgent=1 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
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+ 32: [colAgent=9 & rowAgent=2 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
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+ 1790: [colAgent=15 & rowAgent=18 & viewAgent=3] 1: (0 {Agent_move_North}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1791: [colAgent=16 & rowAgent=18 & viewAgent=3] 1: (0 {Agent_move_North}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1792: [colAgent=17 & rowAgent=18 & viewAgent=3] 1: (0 {Agent_move_North}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1793: [colAgent=18 & rowAgent=18 & viewAgent=3] 1: (0 {Agent_move_North}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1794: [colAgent=19 & rowAgent=18 & viewAgent=3] 1: (0 {Agent_move_North}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1795: [colAgent=20 & rowAgent=18 & viewAgent=3] 1: (0 {Agent_move_North}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1796: [colAgent=21 & rowAgent=18 & viewAgent=3] 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1797: [colAgent=22 & rowAgent=18 & viewAgent=3] 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1798: [colAgent=23 & rowAgent=18 & viewAgent=3] 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1799: [colAgent=24 & rowAgent=18 & viewAgent=3] 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1800: [colAgent=25 & rowAgent=18 & viewAgent=3] 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1801: [colAgent=2 & rowAgent=19 & viewAgent=3] 1: (0 {Agent_move_North}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1802: [colAgent=3 & rowAgent=19 & viewAgent=3] 1: (0 {Agent_move_North}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1803: [colAgent=4 & rowAgent=19 & viewAgent=3] 1: (0 {Agent_move_North}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1804: [colAgent=5 & rowAgent=19 & viewAgent=3] 1: (0 {Agent_move_North}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1805: [colAgent=6 & rowAgent=19 & viewAgent=3] 1: (0 {Agent_move_North}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1806: [colAgent=7 & rowAgent=19 & viewAgent=3] 1: (0 {Agent_move_North}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1807: [colAgent=8 & rowAgent=19 & viewAgent=3] 1: (0 {Agent_move_North}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1808: [colAgent=9 & rowAgent=19 & viewAgent=3] 1: (0 {Agent_move_North}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1809: [colAgent=10 & rowAgent=19 & viewAgent=3] 1: (0 {Agent_move_North}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1810: [colAgent=11 & rowAgent=19 & viewAgent=3] 1: (0 {Agent_move_North}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1811: [colAgent=12 & rowAgent=19 & viewAgent=3] 1: (0 {Agent_move_North}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1812: [colAgent=13 & rowAgent=19 & viewAgent=3] 1: (0 {Agent_move_North}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1813: [colAgent=14 & rowAgent=19 & viewAgent=3] 1: (0 {Agent_move_North}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1814: [colAgent=15 & rowAgent=19 & viewAgent=3] 1: (0 {Agent_move_North}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1815: [colAgent=16 & rowAgent=19 & viewAgent=3] 1: (0 {Agent_move_North}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1816: [colAgent=17 & rowAgent=19 & viewAgent=3] 1: (0 {Agent_move_North}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1817: [colAgent=18 & rowAgent=19 & viewAgent=3] 1: (0 {Agent_move_North}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1818: [colAgent=19 & rowAgent=19 & viewAgent=3] 1: (0 {Agent_move_North}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1819: [colAgent=20 & rowAgent=19 & viewAgent=3] 1: (0 {Agent_move_North}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1820: [colAgent=21 & rowAgent=19 & viewAgent=3] 1: (0 {Agent_move_North}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1821: [colAgent=22 & rowAgent=19 & viewAgent=3] 1: (0 {Agent_move_North}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1822: [colAgent=23 & rowAgent=19 & viewAgent=3] 1: (0 {Agent_move_North}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1823: [colAgent=24 & rowAgent=19 & viewAgent=3] 1: (0 {Agent_move_North}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1824: [colAgent=25 & rowAgent=19 & viewAgent=3] 1: (0 {Agent_move_North}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1825: [colAgent=2 & rowAgent=20 & viewAgent=3] 1: (0 {Agent_move_North}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1826: [colAgent=3 & rowAgent=20 & viewAgent=3] 1: (0 {Agent_move_North}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1827: [colAgent=4 & rowAgent=20 & viewAgent=3] 1: (0 {Agent_move_North}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1828: [colAgent=5 & rowAgent=20 & viewAgent=3] 1: (0 {Agent_move_North}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1829: [colAgent=6 & rowAgent=20 & viewAgent=3] 1: (0 {Agent_move_North}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1830: [colAgent=7 & rowAgent=20 & viewAgent=3] 1: (0 {Agent_move_North}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
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+ 1832: [colAgent=9 & rowAgent=20 & viewAgent=3] 1: (0 {Agent_move_North}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1833: [colAgent=10 & rowAgent=20 & viewAgent=3] 1: (0 {Agent_move_North}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1834: [colAgent=11 & rowAgent=20 & viewAgent=3] 1: (0 {Agent_move_North}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1835: [colAgent=12 & rowAgent=20 & viewAgent=3] 1: (0 {Agent_move_North}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1836: [colAgent=13 & rowAgent=20 & viewAgent=3] 1: (0 {Agent_move_North}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1837: [colAgent=14 & rowAgent=20 & viewAgent=3] 1: (0 {Agent_move_North}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1838: [colAgent=15 & rowAgent=20 & viewAgent=3] 1: (0 {Agent_move_North}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1839: [colAgent=16 & rowAgent=20 & viewAgent=3] 1: (0 {Agent_move_North}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1840: [colAgent=17 & rowAgent=20 & viewAgent=3] 1: (0 {Agent_move_North}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1841: [colAgent=18 & rowAgent=20 & viewAgent=3] 1: (0 {Agent_move_North}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1842: [colAgent=19 & rowAgent=20 & viewAgent=3] 1: (0 {Agent_move_North}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1843: [colAgent=20 & rowAgent=20 & viewAgent=3] 1: (0 {Agent_move_North}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1844: [colAgent=21 & rowAgent=20 & viewAgent=3] 1: (0 {Agent_move_North}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1845: [colAgent=22 & rowAgent=20 & viewAgent=3] 1: (0 {Agent_move_North}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
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+ 1847: [colAgent=24 & rowAgent=20 & viewAgent=3] 1: (0 {Agent_move_North}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1848: [colAgent=25 & rowAgent=20 & viewAgent=3] 1: (0 {Agent_move_North}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
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+ 1850: [colAgent=1 & rowAgent=1 & viewAgent=3] 1: (0 {Agent_move_North}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
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+ 1862: [colAgent=7 & rowAgent=1 & viewAgent=3] 1: (0 {Agent_move_North}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
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+ 1864: [colAgent=8 & rowAgent=1 & viewAgent=3] 1: (0 {Agent_move_North}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
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+ 1866: [colAgent=9 & rowAgent=1 & viewAgent=3] 1: (0 {Agent_move_North}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1867: [colAgent=10 & rowAgent=1 & viewAgent=1] 1: (0 {Agent_move_South}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1868: [colAgent=10 & rowAgent=1 & viewAgent=3] 1: (0 {Agent_move_North}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
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+ 1870: [colAgent=11 & rowAgent=1 & viewAgent=3] 1: (0 {Agent_move_North}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
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+ 1874: [colAgent=13 & rowAgent=1 & viewAgent=3] 1: (0 {Agent_move_North}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
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+ 1876: [colAgent=14 & rowAgent=1 & viewAgent=3] 1: (0 {Agent_move_North}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
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+ 1880: [colAgent=20 & rowAgent=1 & viewAgent=3] 1: (0 {Agent_move_North}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
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+ 1882: [colAgent=21 & rowAgent=1 & viewAgent=3] 1: (0 {Agent_move_North}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1883: [colAgent=22 & rowAgent=1 & viewAgent=1] 1: (0 {Agent_move_South}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1884: [colAgent=22 & rowAgent=1 & viewAgent=3] 1: (0 {Agent_move_North}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1885: [colAgent=23 & rowAgent=1 & viewAgent=1] 1: (0 {Agent_move_South}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1886: [colAgent=23 & rowAgent=1 & viewAgent=3] 1: (0 {Agent_move_North}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1887: [colAgent=24 & rowAgent=1 & viewAgent=1] 1: (0 {Agent_move_South}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1888: [colAgent=24 & rowAgent=1 & viewAgent=3] 1: (0 {Agent_move_North}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1889: [colAgent=25 & rowAgent=1 & viewAgent=1] 1: (0 {Agent_move_South}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1890: [colAgent=25 & rowAgent=1 & viewAgent=3] 1: (0 {Agent_move_North}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
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+ 1892: [colAgent=1 & rowAgent=1 & viewAgent=2] 1: (0 {Agent_move_West}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1893: [colAgent=2 & rowAgent=1 & viewAgent=2] 1: (0 {Agent_move_West}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1894: [colAgent=3 & rowAgent=1 & viewAgent=2] 1: (0 {Agent_move_West}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1895: [colAgent=4 & rowAgent=1 & viewAgent=2] 1: (0 {Agent_move_West}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1896: [colAgent=5 & rowAgent=1 & viewAgent=2] 1: (0 {Agent_move_West}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1897: [colAgent=6 & rowAgent=1 & viewAgent=2] 1: (0 {Agent_move_West}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1898: [colAgent=7 & rowAgent=1 & viewAgent=2] 1: (0 {Agent_move_West}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1899: [colAgent=8 & rowAgent=1 & viewAgent=2] 1: (0 {Agent_move_West}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1900: [colAgent=9 & rowAgent=1 & viewAgent=2] 1: (0 {Agent_move_West}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1901: [colAgent=10 & rowAgent=1 & viewAgent=2] 1: (0 {Agent_move_West}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1902: [colAgent=12 & rowAgent=1 & viewAgent=2] 1: (0 {Agent_move_West}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1903: [colAgent=13 & rowAgent=1 & viewAgent=2] 1: (0 {Agent_move_West}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1904: [colAgent=14 & rowAgent=1 & viewAgent=2] 1: (0 {Agent_move_West}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1905: [colAgent=15 & rowAgent=1 & viewAgent=2] 1: (0 {Agent_move_West}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1907: [colAgent=20 & rowAgent=1 & viewAgent=2] 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1908: [colAgent=21 & rowAgent=1 & viewAgent=2] 1: (0 {Agent_move_West}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1909: [colAgent=22 & rowAgent=1 & viewAgent=2] 1: (0 {Agent_move_West}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1910: [colAgent=23 & rowAgent=1 & viewAgent=2] 1: (0 {Agent_move_West}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1911: [colAgent=24 & rowAgent=1 & viewAgent=2] 1: (0 {Agent_move_West}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1912: [colAgent=25 & rowAgent=1 & viewAgent=2] 1: (0 {Agent_move_West}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
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+ 1914: [colAgent=1 & rowAgent=4 & viewAgent=2] 1: (0 {Agent_move_West}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1915: [colAgent=1 & rowAgent=5 & viewAgent=2] 1: (0 {Agent_move_West}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1916: [colAgent=1 & rowAgent=6 & viewAgent=2] 1: (0 {Agent_move_West}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1917: [colAgent=1 & rowAgent=11 & viewAgent=2] 1: (0 {Agent_move_West}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1918: [colAgent=1 & rowAgent=10 & viewAgent=2] 1: (0 {Agent_move_West}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1919: [colAgent=1 & rowAgent=12 & viewAgent=2] 1: (0 {Agent_move_West}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1920: [colAgent=1 & rowAgent=13 & viewAgent=2] 1: (0 {Agent_move_West}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1921: [colAgent=1 & rowAgent=14 & viewAgent=2] 1: (0 {Agent_move_West}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1922: [colAgent=1 & rowAgent=15 & viewAgent=2] 1: (0 {Agent_move_West}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1923: [colAgent=1 & rowAgent=16 & viewAgent=2] 1: (0 {Agent_move_West}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1926: [colAgent=1 & rowAgent=2 & viewAgent=1] 1: (0 {Agent_move_South}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1927: [colAgent=11 & rowAgent=1 & viewAgent=2] 1: (0 {Agent_move_West}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1928: [colAgent=1 & rowAgent=2 & viewAgent=3] 1: (0 {Agent_move_North}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1929: [colAgent=1 & rowAgent=3 & viewAgent=3] 1: (0 {Agent_move_North}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1930: [colAgent=1 & rowAgent=3 & viewAgent=1] 1: (0 {Agent_move_South}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1931: [colAgent=1 & rowAgent=4 & viewAgent=3] 1: (0 {Agent_move_North}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1932: [colAgent=1 & rowAgent=4 & viewAgent=1] 1: (0 {Agent_move_South}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1933: [colAgent=1 & rowAgent=5 & viewAgent=3] 1: (0 {Agent_move_North}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1934: [colAgent=1 & rowAgent=5 & viewAgent=1] 1: (0 {Agent_move_South}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1935: [colAgent=1 & rowAgent=6 & viewAgent=3] 1: (0 {Agent_move_North}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1936: [colAgent=1 & rowAgent=6 & viewAgent=1] 1: (0 {Agent_move_South}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1937: [colAgent=1 & rowAgent=11 & viewAgent=3] 1: (0 {Agent_move_North}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1938: [colAgent=1 & rowAgent=11 & viewAgent=1] 1: (0 {Agent_move_South}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1939: [colAgent=1 & rowAgent=10 & viewAgent=3] 1: (0 {Agent_move_North}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1940: [colAgent=1 & rowAgent=10 & viewAgent=1] 1: (0 {Agent_move_South}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1941: [colAgent=1 & rowAgent=12 & viewAgent=3] 1: (0 {Agent_move_North}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1942: [colAgent=1 & rowAgent=12 & viewAgent=1] 1: (0 {Agent_move_South}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1943: [colAgent=1 & rowAgent=13 & viewAgent=3] 1: (0 {Agent_move_North}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1944: [colAgent=1 & rowAgent=13 & viewAgent=1] 1: (0 {Agent_move_South}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1945: [colAgent=1 & rowAgent=14 & viewAgent=3] 1: (0 {Agent_move_North}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1946: [colAgent=1 & rowAgent=14 & viewAgent=1] 1: (0 {Agent_move_South}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1947: [colAgent=1 & rowAgent=15 & viewAgent=3] 1: (0 {Agent_move_North}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1948: [colAgent=1 & rowAgent=15 & viewAgent=1] 1: (0 {Agent_move_South}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1949: [colAgent=1 & rowAgent=16 & viewAgent=3] 1: (0 {Agent_move_North}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1950: [colAgent=1 & rowAgent=16 & viewAgent=1] 1: (0 {Agent_move_South}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1951: [colAgent=1 & rowAgent=2 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1952: [colAgent=1 & rowAgent=3 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1953: [colAgent=1 & rowAgent=4 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1954: [colAgent=1 & rowAgent=5 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1955: [colAgent=1 & rowAgent=6 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1956: [colAgent=1 & rowAgent=7 & viewAgent=1] 1: (0 {Agent_move_South}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1957: [colAgent=1 & rowAgent=11 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1958: [colAgent=1 & rowAgent=9 & viewAgent=3] 1: (0 {Agent_move_North}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1959: [colAgent=1 & rowAgent=10 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1960: [colAgent=1 & rowAgent=12 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1961: [colAgent=1 & rowAgent=13 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1962: [colAgent=1 & rowAgent=14 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1963: [colAgent=1 & rowAgent=15 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1964: [colAgent=1 & rowAgent=16 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1965: [colAgent=1 & rowAgent=17 & viewAgent=1] 1: (0 {Agent_move_South}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1966: [colAgent=1 & rowAgent=8 & viewAgent=1] 1: (0 {Agent_move_South}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1967: [colAgent=1 & rowAgent=7 & viewAgent=2] 1: (0 {Agent_move_West}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1968: [colAgent=1 & rowAgent=7 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1969: [colAgent=1 & rowAgent=8 & viewAgent=3] 1: (0 {Agent_move_North}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1970: [colAgent=1 & rowAgent=9 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1971: [colAgent=1 & rowAgent=9 & viewAgent=2] 1: (0 {Agent_move_West}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1972: [colAgent=1 & rowAgent=18 & viewAgent=1] 1: (0 {Agent_move_South}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1973: [colAgent=1 & rowAgent=17 & viewAgent=2] 1: (0 {Agent_move_West}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1974: [colAgent=1 & rowAgent=17 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1975: [colAgent=1 & rowAgent=9 & viewAgent=1] 1: (0 {Agent_move_South}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1976: [colAgent=1 & rowAgent=8 & viewAgent=2] 1: (0 {Agent_move_West}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1977: [colAgent=1 & rowAgent=8 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1978: [colAgent=1 & rowAgent=7 & viewAgent=3] 1: (0 {Agent_move_North}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1979: [colAgent=1 & rowAgent=19 & viewAgent=1] 1: (0 {Agent_move_South}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1980: [colAgent=1 & rowAgent=18 & viewAgent=2] 1: (0 {Agent_move_West}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1981: [colAgent=1 & rowAgent=18 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1982: [colAgent=1 & rowAgent=17 & viewAgent=3] 1: (0 {Agent_move_North}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1983: [colAgent=1 & rowAgent=20 & viewAgent=1] 1: (0 {Agent_move_South}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1984: [colAgent=1 & rowAgent=19 & viewAgent=2] 1: (0 {Agent_move_West}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1985: [colAgent=1 & rowAgent=19 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1986: [colAgent=1 & rowAgent=18 & viewAgent=3] 1: (0 {Agent_move_North}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1987: [colAgent=1 & rowAgent=20 & viewAgent=2] 1: (0 {Agent_move_West}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1988: [colAgent=1 & rowAgent=20 & viewAgent=0] 1: (0 {Agent_move_East}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1989: [colAgent=1 & rowAgent=19 & viewAgent=3] 1: (0 {Agent_move_North}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+ 1990: [colAgent=1 & rowAgent=20 & viewAgent=3] 1: (0 {Agent_move_North}); 1: (1 {Agent_turn_right}); 1: (2 {Agent_turn_left})
+___________________________________________________________________