llm_google_colab/setup-llm-on-kaggle-gpu.ipynb

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href=\"https://colab.research.google.com/github/casualcomputer/llm_google_colab/blob/main/setup_llm_on_google_colab_gpu_accelerated.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>","metadata":{"id":"view-in-github","colab_type":"text"}},{"cell_type":"markdown","source":"# Download and Run LLM's on Kaggle (GPU-accelerated)","metadata":{"id":"Iz-w0gCPmW8_"}},{"cell_type":"markdown","source":"# Step 0: \n\nSign up for a Kaggle competition and create a Notebook, where you will select your GPU accelerator to be P100 or T4. You must be in an active competition to be able to access the notebook with GPU. \n\n![image.png](attachment:2adda1a0-6d4a-4641-822a-f4f06ed3d799.png)\n![kaggle_notebook_session_options.png](attachment:f7aab417-5de2-4eec-a328-f36cb127899e.png)","metadata":{},"attachments":{"2adda1a0-6d4a-4641-822a-f4f06ed3d799.png":{"image/png":"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"},"f7aab417-5de2-4eec-a328-f36cb127899e.png":{"image/png":"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"}}},{"cell_type":"markdown","source":"\n## Step 1: Get access token from huggingface","metadata":{"id":"3Rq389lywEiu"}},{"cell_type":"markdown","source":"## Step 2: Install packages","metadata":{"id":"AhEDYalWkv7b"}},{"cell_type":"code","source":"!python -V  #Python 3.10.13","metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"-VuenKPqoNfS","outputId":"2d39cdd4-2a22-409a-a974-92950e6d9bfe","execution":{"iopub.status.busy":"2024-06-16T05:00:32.900372Z","iopub.execute_input":"2024-06-16T05:00:32.900647Z","iopub.status.idle":"2024-06-16T05:00:33.862202Z","shell.execute_reply.started":"2024-06-16T05:00:32.900602Z","shell.execute_reply":"2024-06-16T05:00:33.861279Z"},"trusted":true},"execution_count":1,"outputs":[{"name":"stdout","text":"Python 3.10.13\n","output_type":"stream"}]},{"cell_type":"code","source":"!nvcc --version # find the CUDA driver build above \n#Build cuda_12.1.r12.1/compiler.32688072_0","metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"nj8FZCXshH-Y","outputId":"1974856c-2faa-42e9-9ec0-01b62bdbe710","execution":{"iopub.status.busy":"2024-06-16T05:01:15.064494Z","iopub.execute_input":"2024-06-16T05:01:15.065117Z","iopub.status.idle":"2024-06-16T05:01:16.038817Z","shell.execute_reply.started":"2024-06-16T05:01:15.065082Z","shell.execute_reply":"2024-06-16T05:01:16.037854Z"},"trusted":true},"execution_count":2,"outputs":[{"name":"stdout","text":"nvcc: NVIDIA (R) Cuda compiler driver\nCopyright (c) 2005-2023 NVIDIA Corporation\nBuilt on Mon_Apr__3_17:16:06_PDT_2023\nCuda compilation tools, release 12.1, V12.1.105\nBuild cuda_12.1.r12.1/compiler.32688072_0\n","output_type":"stream"}]},{"cell_type":"code","source":"# Install key libraries for LLM\n\n#Install llama-cpp-python with CUBLAS, compatible to CUDA 12.2 which is the CUDA driver build above\n!set LLAMA_CUBLAS=1\n!set CMAKE_ARGS=-DLLAMA_CUBLAS=on\n!set FORCE_CMAKE=1\n\n#Install llama-cpp-python, cuda-enabled package\n!python -m pip install llama-cpp-python==0.2.7 --prefer-binary --extra-index-url=https://jllllll.github.io/llama-cpp-python-cuBLAS-wheels/AVX2/cu122\n\n#Install pytorch-related, cuda-enabled package\n!pip install torch==2.3.0 torchvision==0.18.0 torchaudio==2.3.0 --index-url https://download.pytorch.org/whl/cu121","metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"-BfhqNzQk06m","outputId":"8d52b077-adad-4cff-cc9a-10dda59eeb00","execution":{"iopub.status.busy":"2024-06-16T05:01:26.597175Z","iopub.execute_input":"2024-06-16T05:01:26.597593Z","iopub.status.idle":"2024-06-16T05:04:06.265858Z","shell.execute_reply.started":"2024-06-16T05:01:26.597546Z","shell.execute_reply":"2024-06-16T05:04:06.264584Z"},"trusted":true},"execution_count":3,"outputs":[{"name":"stdout","text":"Looking in indexes: https://pypi.org/simple, https://jllllll.github.io/llama-cpp-python-cuBLAS-wheels/AVX2/cu122\nCollecting llama-cpp-python==0.2.7\n  Downloading https://github.com/jllllll/llama-cpp-python-cuBLAS-wheels/releases/download/wheels/llama_cpp_python-0.2.7%2Bcu122-cp310-cp310-manylinux_2_31_x86_64.whl (14.8 MB)\n\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m14.8/14.8 MB\u001b[0m \u001b[31m50.3 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m00:01\u001b[0m00:01\u001b[0m\n\u001b[?25hRequirement already satisfied: typing-extensions>=4.5.0 in /opt/conda/lib/python3.10/site-packages (from llama-cpp-python==0.2.7) (4.9.0)\nRequirement already satisfied: numpy>=1.20.0 in /opt/conda/lib/python3.10/site-packages (from llama-cpp-python==0.2.7) (1.26.4)\nCollecting diskcache>=5.6.1 (from llama-cpp-python==0.2.7)\n  Downloading diskcache-5.6.3-py3-none-any.whl.metadata (20 kB)\nDownloading diskcache-5.6.3-py3-none-any.whl (45 kB)\n\u001b[2K   \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m45.5/45.5 kB\u001b[0m \u001b[31m2.3 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n\u001b[?25hInstalling collected packages: diskcache, llama-cpp-python\nSuccessfully installed diskcache-5.6.3 llama-cpp-python-0.2.7+cu122\nLooking in indexes: https://download.pytorch.org/whl/cu121\nCollecting torch==2.3.0\n  Downloading https://download.pytorch.org/whl/cu121/torch-2.3.0%2Bcu121-cp310-cp310-linux_x86_64.whl (781.0 MB)\n\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m781.0/781.0 MB\u001b[0m \u001b[31m2.0 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m00:01\u001b[0m00:01\u001b[0m\n\u001b[?25hCollecting torchvision==0.18.0\n  Downloading https://download.pytorch.org/whl/cu121/torchvision-0.18.0%2Bcu121-cp310-cp310-linux_x86_64.whl (7.0 MB)\n\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m7.0/7.0 MB\u001b[0m \u001b[31m2.5 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m0:00:01\u001b[0m00:01\u001b[0m\n\u001b[?25hCollecting torchaudio==2.3.0\n  Downloading https://download.pytorch.org/whl/cu121/torchaudio-2.3.0%2Bcu121-cp310-cp310-linux_x86_64.whl (3.4 MB)\n\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m3.4/3.4 MB\u001b[0m \u001b[31m12.9 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m00:01\u001b[0m00:01\u001b[0m\n\u001b[?25hRequirement already satisfied: filelock in /opt/conda/lib/python3.10/site-packages (from torch==2.3.0) (3.13.1)\nRequirement already satisfied: typing-extensions>=4.8.0 in /opt/conda/lib/python3.10/site-packages (from torch==2.3.0) (4.9.0)\nRequirement already satisfied: sympy in /opt/conda/lib/python3.10/site-packages (from torch==2.3.0) (1.12.1)\nRequirement already satisfied: networkx in /opt/conda/lib/python3.10/site-packages (from torch==2.3.0) (3.2.1)\nRequirement already satisfied: jinja2 in /opt/conda/lib/python3.10/site-packages (from torch==2.3.0) (3.1.2)\nRequirement already satisfied: fsspec in /opt/conda/lib/python3.10/site-packages (from torch==2.3.0) (2024.3.1)\nCollecting nvidia-cuda-nvrtc-cu12==12.1.105 (from torch==2.3.0)\n  Downloading https://download.pytorch.org/whl/cu121/nvidia_cuda_nvrtc_cu12-12.1.105-py3-none-manylinux1_x86_64.whl (23.7 MB)\n\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m23.7/23.7 MB\u001b[0m \u001b[31m69.8 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m00:01\u001b[0m00:01\u001b[0m\n\u001b[?25hCollecting nvidia-cuda-runtime-cu12==12.1.105 (from torch==2.3.0)\n  Downloading https://download.pytorch.org/whl/cu121/nvidia_cuda_runtime_cu12-12.1.105-py3-none-manylinux1_x86_64.whl (823 kB)\n\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m823.6/823.6 kB\u001b[0m \u001b[31m42.6 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n\u001b[?25hCollecting nvidia-cuda-cupti-cu12==12.1.105 (from torch==2.3.0)\n  Downloading https://download.pytorch.org/whl/cu121/nvidia_cuda_cupti_cu12-12.1.105-py3-none-manylinux1_x86_64.whl (14.1 MB)\n\u001b[2K     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nvidia-cufft-cu12==11.0.2.54 (from torch==2.3.0)\n  Downloading https://download.pytorch.org/whl/cu121/nvidia_cufft_cu12-11.0.2.54-py3-none-manylinux1_x86_64.whl (121.6 MB)\n\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m121.6/121.6 MB\u001b[0m \u001b[31m12.9 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m00:01\u001b[0m00:01\u001b[0m\n\u001b[?25hCollecting nvidia-curand-cu12==10.3.2.106 (from torch==2.3.0)\n  Downloading https://download.pytorch.org/whl/cu121/nvidia_curand_cu12-10.3.2.106-py3-none-manylinux1_x86_64.whl (56.5 MB)\n\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m56.5/56.5 MB\u001b[0m \u001b[31m29.1 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m00:01\u001b[0m00:01\u001b[0m\n\u001b[?25hCollecting nvidia-cusolver-cu12==11.4.5.107 (from torch==2.3.0)\n  Downloading https://download.pytorch.org/whl/cu121/nvidia_cusolver_cu12-11.4.5.107-py3-none-manylinux1_x86_64.whl (124.2 MB)\n\u001b[2K     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nvidia-nvtx-cu12==12.1.105 (from torch==2.3.0)\n  Downloading https://download.pytorch.org/whl/cu121/nvidia_nvtx_cu12-12.1.105-py3-none-manylinux1_x86_64.whl (99 kB)\n\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m99.1/99.1 kB\u001b[0m \u001b[31m6.6 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n\u001b[?25hCollecting triton==2.3.0 (from torch==2.3.0)\n  Downloading https://download.pytorch.org/whl/triton-2.3.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (168.1 MB)\n\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m168.1/168.1 MB\u001b[0m \u001b[31m9.7 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m00:01\u001b[0m00:01\u001b[0m\n\u001b[?25hRequirement already satisfied: numpy in /opt/conda/lib/python3.10/site-packages (from torchvision==0.18.0) (1.26.4)\nRequirement already satisfied: pillow!=8.3.*,>=5.3.0 in /opt/conda/lib/python3.10/site-packages (from torchvision==0.18.0) (9.5.0)\nCollecting nvidia-nvjitlink-cu12 (from nvidia-cusolver-cu12==11.4.5.107->torch==2.3.0)\n  Downloading https://download.pytorch.org/whl/cu121/nvidia_nvjitlink_cu12-12.1.105-py3-none-manylinux1_x86_64.whl (19.8 MB)\n\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m19.8/19.8 MB\u001b[0m \u001b[31m69.3 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m00:01\u001b[0m00:01\u001b[0m\n\u001b[?25hRequirement already satisfied: MarkupSafe>=2.0 in /opt/conda/lib/python3.10/site-packages (from jinja2->torch==2.3.0) (2.1.3)\nRequirement already satisfied: mpmath<1.4.0,>=1.1.0 in /opt/conda/lib/python3.10/site-packages (from sympy->torch==2.3.0) (1.3.0)\nInstalling collected packages: triton, nvidia-nvtx-cu12, nvidia-nvjitlink-cu12, nvidia-nccl-cu12, nvidia-curand-cu12, nvidia-cufft-cu12, nvidia-cuda-runtime-cu12, nvidia-cuda-nvrtc-cu12, nvidia-cuda-cupti-cu12, nvidia-cublas-cu12, nvidia-cusparse-cu12, nvidia-cudnn-cu12, nvidia-cusolver-cu12, torch, torchvision, torchaudio\n  Attempting uninstall: torch\n    Found existing installation: torch 2.1.2\n    Uninstalling torch-2.1.2:\n      Successfully uninstalled torch-2.1.2\n  Attempting uninstall: torchvision\n    Found existing installation: torchvision 0.16.2\n    Uninstalling torchvision-0.16.2:\n      Successfully uninstalled torchvision-0.16.2\n  Attempting uninstall: torchaudio\n    Found existing installation: torchaudio 2.1.2\n    Uninstalling torchaudio-2.1.2:\n      Successfully uninstalled torchaudio-2.1.2\nSuccessfully installed nvidia-cublas-cu12-12.1.3.1 nvidia-cuda-cupti-cu12-12.1.105 nvidia-cuda-nvrtc-cu12-12.1.105 nvidia-cuda-runtime-cu12-12.1.105 nvidia-cudnn-cu12-8.9.2.26 nvidia-cufft-cu12-11.0.2.54 nvidia-curand-cu12-10.3.2.106 nvidia-cusolver-cu12-11.4.5.107 nvidia-cusparse-cu12-12.1.0.106 nvidia-nccl-cu12-2.20.5 nvidia-nvjitlink-cu12-12.1.105 nvidia-nvtx-cu12-12.1.105 torch-2.3.0+cu121 torchaudio-2.3.0+cu121 torchvision-0.18.0+cu121 triton-2.3.0\n","output_type":"stream"}]},{"cell_type":"code","source":"requirements = \"\"\"\nannotated-types==0.7.0\nanyio==4.4.0\ncertifi==2022.12.7\ncharset-normalizer==2.1.1\nclick==8.1.7\ncolorama==0.4.6\ndiskcache==5.6.3\ndnspython==2.6.1\nemail_validator==2.1.1\nexceptiongroup==1.2.1\nfilelock==3.13.1\nfsspec==2024.6.0\nh11==0.14.0\nhttpcore==1.0.5\nhttptools==0.6.1\nhttpx==0.27.0\nhuggingface-hub==0.23.3\nidna==3.4\nJinja2==3.1.4\nllama_cpp_python==0.2.7+cu122\nmarkdown-it-py==3.0.0\nMarkupSafe==2.1.5\nmdurl==0.1.2\nmpmath==1.3.0\nnetworkx==3.2.1\nnumpy==1.26.4\norjson==3.10.3\npackaging==24.0\npillow==10.2.0\npydantic==2.7.3\npydantic_core==2.18.4\nPygments==2.18.0\npython-dotenv==1.0.1\npython-multipart==0.0.9\nPyYAML==6.0.1\nrequests==2.28.1\nrich==13.7.1\nshellingham==1.5.4\nsniffio==1.3.1\nstarlette==0.37.2\nsympy==1.12\ntorch==2.3.0+cu121\ntorchaudio==2.3.0+cu121\ntorchvision==0.18.0+cu121\ntqdm==4.66.4\ntyper==0.12.3\ntyping_extensions==4.12.1\nujson==5.10.0\nwatchfiles==0.22.0\n\"\"\"\n\n# Write the requirements to a file\nwith open('gpu_requirements.txt', 'w') as f:\n    f.write(requirements)","metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"Du8AaWpgpUeu","outputId":"c9a641fa-5095-43a5-c473-ede403639983","execution":{"iopub.status.busy":"2024-06-16T05:11:41.787292Z","iopub.execute_input":"2024-06-16T05:11:41.787672Z","iopub.status.idle":"2024-06-16T05:11:41.794139Z","shell.execute_reply.started":"2024-06-16T05:11:41.787643Z","shell.execute_reply":"2024-06-16T05:11:41.793030Z"},"trusted":true},"execution_count":6,"outputs":[]},{"cell_type":"code","source":"!pip install -r gpu_requirements.txt #it's normal to see incompatiblity errors; the most important packages have been installed correctly","metadata":{"id":"hdVSk5iZ1DVB","colab":{"base_uri":"https://localhost:8080/","height":1000},"outputId":"ace66a36-c0e5-4d08-b44e-e08ba003ca35","execution":{"iopub.status.busy":"2024-06-16T05:11:46.948097Z","iopub.execute_input":"2024-06-16T05:11:46.948448Z","iopub.status.idle":"2024-06-16T05:12:33.978813Z","shell.execute_reply.started":"2024-06-16T05:11:46.948422Z","shell.execute_reply":"2024-06-16T05:12:33.977834Z"},"trusted":true},"execution_count":7,"outputs":[{"name":"stdout","text":"Collecting annotated-types==0.7.0 (from -r gpu_requirements.txt (line 2))\n  Downloading annotated_types-0.7.0-py3-none-any.whl.metadata (15 kB)\nCollecting anyio==4.4.0 (from -r gpu_requirements.txt (line 3))\n  Downloading anyio-4.4.0-py3-none-any.whl.metadata (4.6 kB)\nCollecting certifi==2022.12.7 (from -r gpu_requirements.txt (line 4))\n  Downloading certifi-2022.12.7-py3-none-any.whl.metadata (2.9 kB)\nCollecting charset-normalizer==2.1.1 (from -r gpu_requirements.txt (line 5))\n  Downloading charset_normalizer-2.1.1-py3-none-any.whl.metadata (11 kB)\nRequirement already satisfied: click==8.1.7 in /opt/conda/lib/python3.10/site-packages (from -r gpu_requirements.txt (line 6)) (8.1.7)\nRequirement already satisfied: colorama==0.4.6 in /opt/conda/lib/python3.10/site-packages (from -r gpu_requirements.txt (line 7)) (0.4.6)\nRequirement already satisfied: diskcache==5.6.3 in /opt/conda/lib/python3.10/site-packages (from -r gpu_requirements.txt (line 8)) (5.6.3)\nCollecting dnspython==2.6.1 (from -r gpu_requirements.txt (line 9))\n  Downloading dnspython-2.6.1-py3-none-any.whl.metadata (5.8 kB)\nCollecting email_validator==2.1.1 (from -r gpu_requirements.txt (line 10))\n  Downloading email_validator-2.1.1-py3-none-any.whl.metadata (26 kB)\nCollecting exceptiongroup==1.2.1 (from -r gpu_requirements.txt (line 11))\n  Downloading exceptiongroup-1.2.1-py3-none-any.whl.metadata (6.6 kB)\nRequirement already satisfied: filelock==3.13.1 in /opt/conda/lib/python3.10/site-packages (from -r gpu_requirements.txt (line 12)) (3.13.1)\nCollecting fsspec==2024.6.0 (from -r gpu_requirements.txt (line 13))\n  Downloading fsspec-2024.6.0-py3-none-any.whl.metadata (11 kB)\nRequirement already satisfied: h11==0.14.0 in /opt/conda/lib/python3.10/site-packages (from -r gpu_requirements.txt (line 14)) (0.14.0)\nRequirement already satisfied: httpcore==1.0.5 in /opt/conda/lib/python3.10/site-packages (from -r gpu_requirements.txt (line 15)) (1.0.5)\nRequirement already satisfied: httptools==0.6.1 in /opt/conda/lib/python3.10/site-packages (from -r gpu_requirements.txt (line 16)) (0.6.1)\nRequirement already satisfied: httpx==0.27.0 in /opt/conda/lib/python3.10/site-packages (from -r gpu_requirements.txt (line 17)) (0.27.0)\nCollecting huggingface-hub==0.23.3 (from -r gpu_requirements.txt (line 18))\n  Downloading huggingface_hub-0.23.3-py3-none-any.whl.metadata (12 kB)\nCollecting idna==3.4 (from -r gpu_requirements.txt (line 19))\n  Downloading idna-3.4-py3-none-any.whl.metadata (9.8 kB)\nCollecting Jinja2==3.1.4 (from -r gpu_requirements.txt (line 20))\n  Downloading jinja2-3.1.4-py3-none-any.whl.metadata (2.6 kB)\nRequirement already satisfied: llama_cpp_python==0.2.7+cu122 in /opt/conda/lib/python3.10/site-packages (from -r gpu_requirements.txt (line 21)) (0.2.7+cu122)\nRequirement already satisfied: markdown-it-py==3.0.0 in /opt/conda/lib/python3.10/site-packages (from -r gpu_requirements.txt (line 22)) (3.0.0)\nCollecting MarkupSafe==2.1.5 (from -r gpu_requirements.txt (line 23))\n  Downloading MarkupSafe-2.1.5-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (3.0 kB)\nRequirement already satisfied: mdurl==0.1.2 in /opt/conda/lib/python3.10/site-packages (from -r gpu_requirements.txt (line 24)) (0.1.2)\nRequirement already satisfied: mpmath==1.3.0 in /opt/conda/lib/python3.10/site-packages (from -r gpu_requirements.txt (line 25)) (1.3.0)\nRequirement already satisfied: networkx==3.2.1 in /opt/conda/lib/python3.10/site-packages (from -r gpu_requirements.txt (line 26)) (3.2.1)\nRequirement already satisfied: numpy==1.26.4 in /opt/conda/lib/python3.10/site-packages (from -r gpu_requirements.txt (line 27)) (1.26.4)\nCollecting orjson==3.10.3 (from -r gpu_requirements.txt (line 28))\n  Downloading orjson-3.10.3-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (49 kB)\n\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m49.7/49.7 kB\u001b[0m \u001b[31m3.2 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n\u001b[?25hCollecting packaging==24.0 (from -r gpu_requirements.txt (line 29))\n  Downloading packaging-24.0-py3-none-any.whl.metadata (3.2 kB)\nCollecting pillow==10.2.0 (from -r gpu_requirements.txt (line 30))\n  Downloading pillow-10.2.0-cp310-cp310-manylinux_2_28_x86_64.whl.metadata (9.7 kB)\nCollecting pydantic==2.7.3 (from -r gpu_requirements.txt (line 31))\n  Downloading pydantic-2.7.3-py3-none-any.whl.metadata (108 kB)\n\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m109.0/109.0 kB\u001b[0m \u001b[31m7.3 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n\u001b[?25hCollecting pydantic_core==2.18.4 (from -r gpu_requirements.txt (line 32))\n  Downloading pydantic_core-2.18.4-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (6.5 kB)\nCollecting Pygments==2.18.0 (from -r gpu_requirements.txt (line 33))\n  Downloading pygments-2.18.0-py3-none-any.whl.metadata (2.5 kB)\nCollecting python-dotenv==1.0.1 (from -r gpu_requirements.txt (line 34))\n  Downloading python_dotenv-1.0.1-py3-none-any.whl.metadata (23 kB)\nCollecting python-multipart==0.0.9 (from -r gpu_requirements.txt (line 35))\n  Downloading python_multipart-0.0.9-py3-none-any.whl.metadata (2.5 kB)\nRequirement already satisfied: PyYAML==6.0.1 in /opt/conda/lib/python3.10/site-packages (from -r gpu_requirements.txt (line 36)) (6.0.1)\nCollecting requests==2.28.1 (from -r gpu_requirements.txt (line 37))\n  Downloading requests-2.28.1-py3-none-any.whl.metadata (4.6 kB)\nCollecting rich==13.7.1 (from -r gpu_requirements.txt (line 38))\n  Downloading rich-13.7.1-py3-none-any.whl.metadata (18 kB)\nRequirement already satisfied: shellingham==1.5.4 in /opt/conda/lib/python3.10/site-packages (from -r gpu_requirements.txt (line 39)) (1.5.4)\nCollecting sniffio==1.3.1 (from -r gpu_requirements.txt (line 40))\n  Downloading sniffio-1.3.1-py3-none-any.whl.metadata (3.9 kB)\nCollecting starlette==0.37.2 (from -r gpu_requirements.txt (line 41))\n  Downloading starlette-0.37.2-py3-none-any.whl.metadata (5.9 kB)\nCollecting sympy==1.12 (from -r gpu_requirements.txt (line 42))\n  Downloading sympy-1.12-py3-none-any.whl.metadata (12 kB)\nRequirement already satisfied: torch==2.3.0+cu121 in /opt/conda/lib/python3.10/site-packages (from -r gpu_requirements.txt (line 43)) (2.3.0+cu121)\nRequirement already satisfied: torchaudio==2.3.0+cu121 in /opt/conda/lib/python3.10/site-packages (from -r gpu_requirements.txt (line 44)) (2.3.0+cu121)\nRequirement already satisfied: torchvision==0.18.0+cu121 in /opt/conda/lib/python3.10/site-packages (from -r gpu_requirements.txt (line 45)) (0.18.0+cu121)\nRequirement already satisfied: tqdm==4.66.4 in /opt/conda/lib/python3.10/site-packages (from -r gpu_requirements.txt (line 46)) (4.66.4)\nCollecting typer==0.12.3 (from -r gpu_requirements.txt (line 47))\n  Downloading typer-0.12.3-py3-none-any.whl.metadata (15 kB)\nCollecting typing_extensions==4.12.1 (from -r gpu_requirements.txt (line 48))\n  Downloading typing_extensions-4.12.1-py3-none-any.whl.metadata (3.0 kB)\nRequirement already satisfied: ujson==5.10.0 in /opt/conda/lib/python3.10/site-packages (from -r gpu_requirements.txt (line 49)) (5.10.0)\nCollecting watchfiles==0.22.0 (from -r gpu_requirements.txt (line 50))\n  Downloading watchfiles-0.22.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (4.9 kB)\nRequirement already satisfied: urllib3<1.27,>=1.21.1 in /opt/conda/lib/python3.10/site-packages (from requests==2.28.1->-r gpu_requirements.txt (line 37)) (1.26.18)\nRequirement already satisfied: nvidia-cuda-nvrtc-cu12==12.1.105 in /opt/conda/lib/python3.10/site-packages (from torch==2.3.0+cu121->-r gpu_requirements.txt (line 43)) (12.1.105)\nRequirement already satisfied: nvidia-cuda-runtime-cu12==12.1.105 in /opt/conda/lib/python3.10/site-packages (from torch==2.3.0+cu121->-r gpu_requirements.txt (line 43)) (12.1.105)\nRequirement already satisfied: nvidia-cuda-cupti-cu12==12.1.105 in /opt/conda/lib/python3.10/site-packages (from torch==2.3.0+cu121->-r gpu_requirements.txt (line 43)) (12.1.105)\nRequirement already satisfied: nvidia-cudnn-cu12==8.9.2.26 in /opt/conda/lib/python3.10/site-packages (from torch==2.3.0+cu121->-r gpu_requirements.txt (line 43)) (8.9.2.26)\nRequirement already satisfied: nvidia-cublas-cu12==12.1.3.1 in /opt/conda/lib/python3.10/site-packages (from torch==2.3.0+cu121->-r gpu_requirements.txt (line 43)) (12.1.3.1)\nRequirement already satisfied: nvidia-cufft-cu12==11.0.2.54 in /opt/conda/lib/python3.10/site-packages (from torch==2.3.0+cu121->-r gpu_requirements.txt (line 43)) (11.0.2.54)\nRequirement already satisfied: nvidia-curand-cu12==10.3.2.106 in /opt/conda/lib/python3.10/site-packages (from torch==2.3.0+cu121->-r gpu_requirements.txt (line 43)) (10.3.2.106)\nRequirement already satisfied: nvidia-cusolver-cu12==11.4.5.107 in /opt/conda/lib/python3.10/site-packages (from torch==2.3.0+cu121->-r gpu_requirements.txt (line 43)) (11.4.5.107)\nRequirement already satisfied: nvidia-cusparse-cu12==12.1.0.106 in /opt/conda/lib/python3.10/site-packages (from torch==2.3.0+cu121->-r gpu_requirements.txt (line 43)) (12.1.0.106)\nRequirement already satisfied: nvidia-nccl-cu12==2.20.5 in /opt/conda/lib/python3.10/site-packages (from torch==2.3.0+cu121->-r gpu_requirements.txt (line 43)) (2.20.5)\nRequirement already satisfied: nvidia-nvtx-cu12==12.1.105 in /opt/conda/lib/python3.10/site-packages (from torch==2.3.0+cu121->-r gpu_requirements.txt (line 43)) (12.1.105)\nRequirement already satisfied: triton==2.3.0 in /opt/conda/lib/python3.10/site-packages (from torch==2.3.0+cu121->-r gpu_requirements.txt (line 43)) (2.3.0)\nRequirement already satisfied: nvidia-nvjitlink-cu12 in /opt/conda/lib/python3.10/site-packages (from nvidia-cusolver-cu12==11.4.5.107->torch==2.3.0+cu121->-r gpu_requirements.txt (line 43)) (12.1.105)\nDownloading annotated_types-0.7.0-py3-none-any.whl (13 kB)\nDownloading anyio-4.4.0-py3-none-any.whl (86 kB)\n\u001b[2K   \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m86.8/86.8 kB\u001b[0m \u001b[31m6.5 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n\u001b[?25hDownloading certifi-2022.12.7-py3-none-any.whl (155 kB)\n\u001b[2K   \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m155.3/155.3 kB\u001b[0m \u001b[31m11.1 MB/s\u001b[0m eta 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pillow-10.2.0-cp310-cp310-manylinux_2_28_x86_64.whl (4.5 MB)\n\u001b[2K   \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m4.5/4.5 MB\u001b[0m \u001b[31m83.8 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m:00:01\u001b[0m\n\u001b[?25hDownloading pydantic-2.7.3-py3-none-any.whl (409 kB)\n\u001b[2K   \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m409.6/409.6 kB\u001b[0m \u001b[31m25.3 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n\u001b[?25hDownloading pydantic_core-2.18.4-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (2.0 MB)\n\u001b[2K   \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m2.0/2.0 MB\u001b[0m \u001b[31m70.0 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n\u001b[?25hDownloading pygments-2.18.0-py3-none-any.whl (1.2 MB)\n\u001b[2K   \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m1.2/1.2 MB\u001b[0m \u001b[31m50.7 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n\u001b[?25hDownloading python_dotenv-1.0.1-py3-none-any.whl (19 kB)\nDownloading python_multipart-0.0.9-py3-none-any.whl (22 kB)\nDownloading requests-2.28.1-py3-none-any.whl (62 kB)\n\u001b[2K   \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m62.8/62.8 kB\u001b[0m \u001b[31m4.6 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n\u001b[?25hDownloading rich-13.7.1-py3-none-any.whl (240 kB)\n\u001b[2K   \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m240.7/240.7 kB\u001b[0m \u001b[31m16.0 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n\u001b[?25hDownloading sniffio-1.3.1-py3-none-any.whl (10 kB)\nDownloading starlette-0.37.2-py3-none-any.whl (71 kB)\n\u001b[2K   \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m71.9/71.9 kB\u001b[0m \u001b[31m5.5 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n\u001b[?25hDownloading sympy-1.12-py3-none-any.whl (5.7 MB)\n\u001b[2K   \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m5.7/5.7 MB\u001b[0m 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huggingface-hub\n  Attempting uninstall: typing_extensions\n    Found existing installation: typing_extensions 4.9.0\n    Uninstalling typing_extensions-4.9.0:\n      Successfully uninstalled typing_extensions-4.9.0\n  Attempting uninstall: sympy\n    Found existing installation: sympy 1.12.1\n    Uninstalling sympy-1.12.1:\n      Successfully uninstalled sympy-1.12.1\n  Attempting uninstall: sniffio\n    Found existing installation: sniffio 1.3.0\n    Uninstalling sniffio-1.3.0:\n      Successfully uninstalled sniffio-1.3.0\n  Attempting uninstall: python-dotenv\n    Found existing installation: python-dotenv 1.0.0\n    Uninstalling python-dotenv-1.0.0:\n      Successfully uninstalled python-dotenv-1.0.0\n  Attempting uninstall: Pygments\n    Found existing installation: Pygments 2.17.2\n    Uninstalling Pygments-2.17.2:\n      Successfully uninstalled Pygments-2.17.2\n  Attempting uninstall: pillow\n    Found existing installation: Pillow 9.5.0\n    Uninstalling Pillow-9.5.0:\n      Successfully uninstalled Pillow-9.5.0\n  Attempting uninstall: packaging\n    Found existing installation: packaging 21.3\n    Uninstalling packaging-21.3:\n      Successfully uninstalled packaging-21.3\n  Attempting uninstall: orjson\n    Found existing installation: orjson 3.9.10\n    Uninstalling orjson-3.9.10:\n      Successfully uninstalled orjson-3.9.10\n  Attempting uninstall: MarkupSafe\n    Found existing installation: MarkupSafe 2.1.3\n    Uninstalling MarkupSafe-2.1.3:\n      Successfully uninstalled MarkupSafe-2.1.3\n  Attempting uninstall: idna\n    Found existing installation: idna 3.6\n    Uninstalling idna-3.6:\n      Successfully uninstalled idna-3.6\n  Attempting uninstall: fsspec\n    Found existing installation: fsspec 2024.3.1\n    Uninstalling fsspec-2024.3.1:\n      Successfully uninstalled fsspec-2024.3.1\n  Attempting uninstall: exceptiongroup\n    Found existing installation: exceptiongroup 1.2.0\n    Uninstalling exceptiongroup-1.2.0:\n      Successfully uninstalled exceptiongroup-1.2.0\n  Attempting uninstall: charset-normalizer\n    Found existing installation: charset-normalizer 3.3.2\n    Uninstalling charset-normalizer-3.3.2:\n      Successfully uninstalled charset-normalizer-3.3.2\n  Attempting uninstall: certifi\n    Found existing installation: certifi 2024.2.2\n    Uninstalling certifi-2024.2.2:\n      Successfully uninstalled certifi-2024.2.2\n  Attempting uninstall: annotated-types\n    Found existing installation: annotated-types 0.6.0\n    Uninstalling annotated-types-0.6.0:\n      Successfully uninstalled annotated-types-0.6.0\n  Attempting uninstall: rich\n    Found existing installation: rich 13.7.0\n    Uninstalling rich-13.7.0:\n      Successfully uninstalled rich-13.7.0\n  Attempting uninstall: requests\n    Found existing installation: requests 2.32.3\n    Uninstalling requests-2.32.3:\n      Successfully uninstalled requests-2.32.3\n  Attempting uninstall: pydantic_core\n    Found existing installation: pydantic_core 2.14.6\n    Uninstalling pydantic_core-2.14.6:\n      Successfully uninstalled pydantic_core-2.14.6\n  Attempting uninstall: Jinja2\n    Found existing installation: Jinja2 3.1.2\n    Uninstalling Jinja2-3.1.2:\n      Successfully uninstalled Jinja2-3.1.2\n  Attempting uninstall: anyio\n    Found existing installation: anyio 4.2.0\n    Uninstalling anyio-4.2.0:\n      Successfully uninstalled anyio-4.2.0\n  Attempting uninstall: watchfiles\n    Found existing installation: watchfiles 0.21.0\n    Uninstalling watchfiles-0.21.0:\n      Successfully uninstalled watchfiles-0.21.0\n  Attempting uninstall: typer\n    Found existing installation: typer 0.9.0\n    Uninstalling typer-0.9.0:\n      Successfully uninstalled typer-0.9.0\n  Attempting uninstall: starlette\n    Found existing installation: starlette 0.32.0.post1\n    Uninstalling starlette-0.32.0.post1:\n      Successfully uninstalled starlette-0.32.0.post1\n  Attempting uninstall: pydantic\n    Found existing installation: pydantic 2.5.3\n    Uninstalling pydantic-2.5.3:\n      Successfully uninstalled pydantic-2.5.3\n  Attempting uninstall: huggingface-hub\n    Found existing installation: huggingface-hub 0.23.2\n    Uninstalling huggingface-hub-0.23.2:\n      Successfully uninstalled huggingface-hub-0.23.2\n\u001b[31mERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts.\ncudf 24.4.1 requires cubinlinker, which is not installed.\ncudf 24.4.1 requires cupy-cuda11x>=12.0.0, which is not installed.\ncudf 24.4.1 requires ptxcompiler, which is not installed.\ncuml 24.4.0 requires cupy-cuda11x>=12.0.0, which is not installed.\ndask-cudf 24.4.1 requires cupy-cuda11x>=12.0.0, which is not installed.\nkeras-cv 0.9.0 requires keras-core, which is not installed.\nkeras-nlp 0.12.1 requires keras-core, which is not installed.\ntensorflow-decision-forests 1.8.1 requires wurlitzer, which is not installed.\napache-beam 2.46.0 requires dill<0.3.2,>=0.3.1.1, but you have dill 0.3.8 which is incompatible.\napache-beam 2.46.0 requires numpy<1.25.0,>=1.14.3, but you have numpy 1.26.4 which is incompatible.\napache-beam 2.46.0 requires pyarrow<10.0.0,>=3.0.0, but you have pyarrow 14.0.2 which is incompatible.\nbeatrix-jupyterlab 2023.128.151533 requires jupyterlab~=3.6.0, but you have jupyterlab 4.2.1 which is incompatible.\ncudf 24.4.1 requires cuda-python<12.0a0,>=11.7.1, but you have cuda-python 12.5.0 which is incompatible.\ndatasets 2.19.2 requires fsspec[http]<=2024.3.1,>=2023.1.0, but you have fsspec 2024.6.0 which is incompatible.\ndatasets 2.19.2 requires requests>=2.32.1, but you have requests 2.28.1 which is incompatible.\ndistributed 2024.1.1 requires dask==2024.1.1, but you have dask 2024.5.2 which is incompatible.\nfastapi 0.108.0 requires starlette<0.33.0,>=0.29.0, but you have starlette 0.37.2 which is incompatible.\ngcsfs 2024.3.1 requires fsspec==2024.3.1, but you have fsspec 2024.6.0 which is incompatible.\ngoogle-cloud-aiplatform 0.6.0a1 requires google-api-core[grpc]<2.0.0dev,>=1.22.2, but you have google-api-core 2.11.1 which is incompatible.\ngoogle-cloud-automl 1.0.1 requires google-api-core[grpc]<2.0.0dev,>=1.14.0, but you have google-api-core 2.11.1 which is incompatible.\ngoogle-cloud-bigquery 2.34.4 requires packaging<22.0dev,>=14.3, but you have packaging 24.0 which is incompatible.\njupyterlab 4.2.1 requires jupyter-lsp>=2.0.0, but you have jupyter-lsp 1.5.1 which is incompatible.\njupyterlab-lsp 5.1.0 requires jupyter-lsp>=2.0.0, but you have jupyter-lsp 1.5.1 which is incompatible.\njupyterlab-server 2.27.2 requires requests>=2.31, but you have requests 2.28.1 which is incompatible.\nkaggle 1.6.14 requires certifi>=2023.7.22, but you have certifi 2022.12.7 which is incompatible.\nkfp 2.5.0 requires google-cloud-storage<3,>=2.2.1, but you have google-cloud-storage 1.44.0 which is incompatible.\nlibpysal 4.9.2 requires shapely>=2.0.1, but you have shapely 1.8.5.post1 which is incompatible.\nmomepy 0.7.0 requires shapely>=2, but you have shapely 1.8.5.post1 which is incompatible.\nosmnx 1.9.3 requires shapely>=2.0, but you have shapely 1.8.5.post1 which is incompatible.\nrapids-dask-dependency 24.4.1a0 requires dask==2024.1.1, but you have dask 2024.5.2 which is incompatible.\nrapids-dask-dependency 24.4.1a0 requires dask-expr==0.4.0, but you have dask-expr 1.1.2 which is incompatible.\ns3fs 2024.3.1 requires fsspec==2024.3.1, but you have fsspec 2024.6.0 which is incompatible.\nspacy 3.7.3 requires typer<0.10.0,>=0.3.0, but you have typer 0.12.3 which is incompatible.\nspopt 0.6.0 requires shapely>=2.0.1, but you have shapely 1.8.5.post1 which is incompatible.\ntensorflow 2.15.0 requires keras<2.16,>=2.15.0, but you have keras 3.3.3 which is incompatible.\nweasel 0.3.4 requires typer<0.10.0,>=0.3.0, but you have typer 0.12.3 which is incompatible.\nydata-profiling 4.6.4 requires numpy<1.26,>=1.16.0, but you have numpy 1.26.4 which is incompatible.\u001b[0m\u001b[31m\n\u001b[0mSuccessfully installed Jinja2-3.1.4 MarkupSafe-2.1.5 Pygments-2.18.0 annotated-types-0.7.0 anyio-4.4.0 certifi-2022.12.7 charset-normalizer-2.1.1 dnspython-2.6.1 email_validator-2.1.1 exceptiongroup-1.2.1 fsspec-2024.5.0 huggingface-hub-0.23.3 idna-3.4 orjson-3.10.3 packaging-24.0 pillow-10.2.0 pydantic-2.7.2 pydantic_core-2.18.3 python-dotenv-1.0.1 python-multipart-0.0.9 requests-2.28.1 rich-13.7.1 sniffio-1.3.1 starlette-0.37.2 sympy-1.12 typer-0.12.3 typing_extensions-4.12.1 watchfiles-0.22.0\n","output_type":"stream"}]},{"cell_type":"markdown","source":"## Step 3: Download almost any huggingface LLM\n\nUse the \"hf_hub_download\" function to download models on huggingface using the access token from Step 1. In this case, I want to download a small model of the \"llava-1.6-mistral-7b-gguf\" model from \"cjpais\"'s huggingface repository.\n","metadata":{"id":"efJ_g2etSvLD"}},{"cell_type":"markdown","source":"![model_name_vs_path.png](data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAB2QAAAOxCAYAAAAqwhfWAAAAAXNSR0IArs4c6QAAAARnQU1BAACxjwv8YQUAAAAJcEhZcwAAEnQAABJ0Ad5mH3gAAP+lSURBVHhe7J0HYBTV3sXPbjpJIKE3qSJVaSpNQWkqgk8RfQL2jliwgO2TpyDY9dmwoCgqyLNgAVGaFEuwQECpSu8QID3ZlN397r1zZ3Z2s5tsIKF5fjh7/uf+79zpszE3d8Zx0RmjvHWrtUBsVAIIIYQQQgghhBBCCCGEEEIIIYRUHM5GNc5gZywhhBBCCCGEEEIIIYQQQgghhFQCTqcjQoeEEEIIIYQQQgghhBBCCCGEEEIqEqdWQgghhBBCCCGEEEIIIYQQQgghFQw7ZAkhhBBCCCGEEEIIIYQQQgghpJJghywhhBBCCCGEEEIIIYQQQgghhFQS7JAlhBBCCCGEEEIIIYQQQgghhJBKwjGi91Svjgk5Jri9hSh056NYqMdbBI+nSJQVi9ijaxBCCCGEEEIIIYQQQgghhJTE6XAiwhEpNBpOZyQihUZHxImyaF2DkGMPO2TJMaHInY98d6bqiPV4i3UpIYQQQgghhBBCCCGEEELIkeN0RKqO2biIaogSSsixhI8sJkcVt7cImQW7kV6wE67ibHbGEkIIIYQQQgghhBBCCCGkwpH9D7IfQvZHZBXsUf0ThBwr2CFLjgoe8S+7cD8O5W9DgTtXlxJCCCGEEEIIIYQQQgghhFQuLneO6p+Q/RSyv4KQow07ZEml44UbWQW7kV+cKWI+IZsQQgghhBBCCCGEEEIIIUcX2T8h+ymyXLvZV0GOOuyQJZWKfCTAIdcO9a5YQgghhBBCCCGEEEIIIYSQY0mhJx/pru3w8BHG5CjCDllSaRR5XDgkbmpuT9k3NYfDiZiIeMRH1UBidG1Ui6mPpNgGqBpTV/haqBKVhEhntK5NCCGEEEIIIYQQQgghhBByeBR7CtVgsmJvgS4hpHJxjOg9leOySYXjhQfp8mYmbmqlEemMQUJUDURHVBHOYRSWghxxm1ecgfyiDD5SgBBCCCGEEEIIIYQQQgghh01kRAySY06BI4z+CUKOBHbIkkoho2A3Ct252pXE6YhQo2HjIqvpkvJR7C1ETmGaWEaeLiGEEEIIIYQQQgghhBBCCCkf8umd8qmd5Njh9XrhcOhO8SgXnHV3wVlrL5w19sGRkA3E5QL58fDmJMJzsA48++vCs7cBUByrZpED+I73TnV2yJIKR74UO7twv3YlcToikRRTD5FO40I5fLzIKTqAvKIM7QkhhBBCCCGEEEIIIYQQQsqHfJXi4Q4gqwzi4qNRo248dm3OUJ2VJzNWZ2qUCxGnrkNki7WIqJ6OyCgn3MUi65ET4HDKyYGISAeKCj3wZFSH++82KP6rleqYPd47ZdkhSyoYLw7kb4HH69beH/ke2KSYBqpTtqKQjzCWo2UJIYQQQgghhBBCCCGEEELKi3yqZ424JnDAqUuOHQOuOQMXX9dejRhN25WNSY8uxL4dWTp7suERk9jnNfYittd8RNfIVp2w7iJR7JWdq7InVtbTqB5NeYw8iIwWRyvSgcIDVeFa0g84VEeVG/njj+NzrcgJS27RwZCdsfKGVtGdsZIqkUmoEpWkHSGEEEIIIYQQQgghhBBCTgbqNzk6v/uX/Rp5RYe0O3Y0b1cbA6/vYD2+t1aDRFx1dxcVHwv+3peCbQdXalexeHXnqbP+VsT1nY2IalkozNOdsXK0q9PsjJWPMzZUerO8WNST9SOSMhHX72s4620RdZy63eMPjpAlFYbbW4hDru1Bh8/Lm0dSTENEHfFjikPhRbprJ4o8Lu0JIYQQQgghhBBCCCGEEHKiElslCsPv74ZpL6TAlad66SoV2Y9RI7ZJhQ8qC8V5l7ZC+3Mawek0Ol8l1WrEoXbDqtoZuIs92LzG/ymhh/blYPbUVTi4N0eXVA6yQ1bSok43pRWF+c5YR1Iaoi/4AlFVilBcKDtbzf4lh65jOPs7ZmUXlBEbdb0eByKjgeK8KBTMvQzejFp+9Y8mcpFXP9Adp3c7Bat+2q7OXZOIs5pe9riOKxT5bOdBN3TAptX74fGcGH2+8tnTzdrUQsbBfPM4HpdExUTg/MGt0f+qdhh4XQcMvq0zuvRvjiatasLj9mD/TmPo+t3P9cN1D52D9Sv2IH1/riqrTPKL01HoFvsuCAnRNREbkahdZeBAdEQVFLizxKE7Mc43QgghhBBCCCGEEEIIIYQEp32PRmjcsgYKC4qxZ2umLq1cZCee7GuobM4ZeBquuqcLatZLQI26vim+aoyu4UN22NrryKlh8+pi/5yCJV+tVx2UlcWh3J1KayScorRCiSxGdJ/ZiE7OVZ2xcHjE/nda2+N0ylgao3PViB22cuN4yccUe9wORMZ5xIruQfGmVqLIqXNHl9ad6+HyEWchOjYSjVrUwIaVe3Fon9E/VykdslHRERj5VF+jk7B1Lfw6f7POHN+0734K6jaqhqQaVVSnZmWexIdLo9NqYPSrF6FTz8ZqXROqxSAiwokEcZE2bJ6Ms3o3VRfhX+Igt+vaUFzMiUj5buNR6ZDNKUoL+rhi+ajiqjH1xGUS/OTv1KsxLrmxI1p2qiduqhnIy5FXXvmRy5GHrMgTvFM4JFfdgKmTB6B97g9YslqX/UMZ8fF4PPRAb1x58+mo8e4v+F2Xk+OXnrdcicF9qyPjp+04IHyryy/FNUNPQfSizdhmVCEnKIHH9ohpfi7uuLcTGmxfj/XpuuxEpGc/3HvTmeh2fls0d6/BnzzRCSGEEEIIIYQQQk465AA6OShN9jdVr5OAVT/vOCoD6eTjbuMiK/8xyfI9sXVOqYZ1v+/Grws24+9V+8o1NW9bW3Xepi7djuz0yntyaGV1yMrO0qjWq1Cl3Sb12GH5GGLj8BqfHq8HrqI81fkqO2lN3B43ClR5hO5wNYboORzyUccOxNUsQFF2NHCwnqp/tJHnatcLmmsHLJu7qfI6ZI3O2D5o2bEuPG4vZr7xG/bpEZvHO3LYd60GVREXH4VqNaoY630ULvBwadSiOu5/+SLrLyRWLNmGz974Hb/M34Ttfx1CTmYBqteOR416CejYszEiIp1ITIo9Kh2ybm+Ren9sMBKia4V8VPG5g07DdQ+eozqXZWdztwtOxe+LtiL/MDtlI5yRyC/O0C5M2nXEZV0Tkf7L8dshqzpKb2uC/A9X4i9dVtHIZfSpsRlTz3sRT56knbHl6eCq8M4wO6pjrCtOO8zOJPu6xXdui/pxOdio17Nmm1ZoUbcIe47nDlnZodY/EctW7NMFpWN0Mp+hOuDUdGpk2PMeLsdDx3bjgGMbEn0+nWPun8DpLH0eV2+MszpUQfaqE7hDVp47feOxZerneH8mO2MJIYQQQgghhBBCTlZOO6Ou6meSyH6njLQ8q2OrMpGDzmIjq6oBYJWJ7LST/VE/fL0Bc6evDtrpWtp0wdB2qg9IdvhlHMjTrVY8lTZCNjYXkV0WwRlVaI18NQf1yc7Y2KgENK3TAbkFWSh2F8AhjofH40aV6KpoUrs9cl2ZcHuKVKesMZ/4FKK6aOMz4N7WAiiOUu0dTeQjpJ0RYi3EJv0052/V2W7i61auAORFcc/z/XFaB6Mz9u3/LMIfKcbBOhE4sCcHa37ZqUbGJtWqokbM2p/dfSyJiY3EbePOV48r3rb+ACbeNhvvjFui/npi/fI9WDRzHaY+/SPG3fgVdm1OV88Zr9e4mp678ilwB39OubwY5M0rGHLfDr7tTGQdyseUCT9g7serERsfhYuGn67yl93aGfe+eEHQ6UJdJ5AIRxSiI+K0I+FzKVo2AXL/+guzdMnJR3ucIr4z9i/7Aet1yYnJib0dsjP53r7J2pWNrH9R+1wsH/sJXjKnyat09jhCdoqOuxSX+v746eix6QdMsu8fa9qA/SJ94p/zPnq2FOdOzkGs36QLCCGEEEIIIYQQQshJSYdzjA7A3KwCpfJdq0eLUP0dpOJw1N5lPKq42BgVKTtTjfe+RqCwOB+1qzXFyIveQHJ8PRS5CxEREaXK6yafitsveBVJ8bVRLMqNRxzL+VQzKC7yIrp6tmj/2PVNznpvJV66by6+m/anLjGosA5ZszO2WdtaJ2RnrElgp2yHc/1fqHysuGDY6UiuHY892zLxojiQOzce0hkD+ejiFu3roM4pVbH06w269OhR7DFuioHIkbHmXzUEUiUxGjFxkdi9JQO/f78FP8wy1rtGPeNds/IRzHKbgk31God+ZECoDuATmTeGPoYh/d87iTtLjwI9a6M20rFjqfZlsHTyJ3jp2UrqyNIdaNPCXBc/yrkdxwtyxOm9465E53L8IZWcp/Mp6Vg+dj6O9uau//xLvHQMlluR9LylJWrn7MHyE3kjCCGEEEIIIYQQQsg/jrqNq6Fm/UR4PF7MnrpKae0GiajT8Oj87j9Uf0dF4vEY2q5bQ8TFRxvmMFCDS09AIutvh8PpFBsgH0lsbIca4eqQnatONUrW6Gg1+5ekGrFX5MSn2YtrilLVnmhXtn+8USEdsnL05snQGWti75StWj3uuOiU7aafOf3N1JUoKij5ntYW7etao0eHjuqqS48eHk+xjvyJdJZ8AbWJfMSyfMTAaR3r4vLbz8R9L12oyjevkWO6gJlvLVd/RRBs+vajP1SdYEQ743VEiEkjXNo1GQWrNpzQHWwn8nbUri5+qNixQY3cXL5DF5ZKI7RqHn0SHLNjxckyIpwQQgghhBBCCCGEnIzUb5qMtmc3wFl9muK8S1upd6oOGXEmrnuwBy69uZOqs/GP/eoRsGafwWW3dVZ5WU/W7/Wvlmp+2Y5sr6II1d9RkZivmTytfV3cMbG3reOxfHTs2Ui9uvJEw1H9gHqNqMMhO151Z6pAxhJzf8h3+qrJ6xYq+8ZkBYfwDjhUKOsZjys22vEY7Yr2jzccI3pP1Zt3eMgRjnc/1x9NW9dUXj46d+WP4fU8b16TpnbM0UQeFPl+2HCoVT8RDZobF7F8rK7cLtnhfLRJrlUFE2YMgdfjxT0DpqG4qOQ+k38x0vm8Jtr58/O3lf8O2YP5W9V7ZANJjK5V6guwW5xRB3c+3Vc9ilmy4+9DeHHUdyhwHdkNb3/e3zoKg6tuwNR76mHzyxOx/1/j0cfajWlY2O0VvKHdoNcewXWdc/zKFI/ejc8GJuBPMf8TM3QZLsV/UzqjoXaqrdlAnxL19LtbbYdu5+zlwMDOSF7+Ha678ydVZr3fVY+SVety2h7h09HHvpytyzFk6JfaaNT2NYPVTZ29GQv/qoc+elt2qu3yf8xzrrlstW21dKnBztmPYdQEbUxK1Mv3205j3/mWYbVfGmW0WWbejnyc7HU1sHvql/jS71Gn7TF8XEvU1k5SsGoZJn2+XT0qt3PyHnyrR8nK0ZoXNT8ofBY6+81TcgSnqtve/ldNhdhiX7Zan3rIXGAbJavejWn/oSHIyNAg2xF0PdUjfn3zlrY+gfNbBK5jifUT15l9/cuBWiY2lP7o4ZDHLHysY/Y50Ftsi/nnIcZ6N8KlY7qiaYIuzPHfB2HtRzXPNrSyt6PxO4/ktm6orfefeVxLnnuqw9q2T0IemzAItv72fXqot2jbNlq5vMcycF/IjvPdzVuiaXrgcQ3cTrH9C4DO6j2wxrENuq4S632xoh6M89HvT3wCjhkhhBBCCCGEEEIIOXGQ/S+yUzW+auhBXXLQ1t7tmajfJAmX3mJ00gZDPtZ4zod/IG13ti45MiKd0age21i7yqNZm1q4+7l+iI6NxEfP/6z6csLlv98MU/NJ5Pt1nxk5B5kHK/5dsn/vS1Haok43pRVFzOXvwhmfB6/bAYceOipHxDqdEcgvzEHT2p0wauC7eO6rq7HzwBrEx1RDjusQWjbogdv6v4LnvxqOvZmbEBMZJ+aTHbu6A9cDOCK88OTEo2DmjarsaCJX4+oHuuP0bqdg1U/bMe0FY/9JIs5qetnjOj4s5IhMedKYNG1dC90uODWsaelX64+44628yEcrn923merALGuSo2NNYuKikFzLeGTw0aZ2w6o4Z+BpyM8tKvHMaRM52jTYi53l5BLzVTa5xcH/2iAuspq6eYVCjpCVLzVe9dMO9fLpbz5YhaLCkiOAy0tukf8jnUulXUdc1rU2GnbtjegfH8ON1y3CJ+8WovW/26PrNU2Q/+FK/CWqtRxwLjrUL8SWd3/B78acBj274MrTorH/lx+wZLXwsgN0clvELf8Owy6fKtoS7dXtgodU52Gxrx564D/zbkXXKpsx9bwX8aSs9241XPis0cFatGcjvpxjDCU8a0hvNKuSjlX2dWlSGx1ujsJv3Z7GGDlvbhNcfGFbXNax0JpPdVpe2xD7Z5vbtQj5XQbgMtU5mqe2ZdqcH9Ryu99cHxF6nY35xfo9Vh+rz9Pty3k7dkPP885F61xzG4zO1onnVVMdtdYyOnZEve2/qDqyM/myNhlYaFvPyy47y389AwinzYfOduLPl8dh5L1m/lz0v6w/utddhO9+0A1peg7pilOyNuL9Bft0iUB2Tt3bBNVkJ9gL32PZojVYtr06TqubiT/XZaJx57aoH5eDjeKmKc/umm1aoUX1Kmh0QTQ2jp2F/8n6i7JR96wWaHNBfUQv2oxtquH2uGCQB0uf/BazVZ01iD71DLTpaatTvTHO6pCIgs1r8KcssDqePsf7M815mgMrzDYNgm1H0PWsW4Q9Ya7P0oT66NZKXKfb12N9uppB0ap3J7Sqm4X178t2GuHSf9fE5ifN7V6DjOot0KF7K9QNmC8c1DrjIJatsB2PQE5viXOaFWHzzEScM64X+p7fFt3kdFZ1ZOhtLQu1LxolocWpOZivtz/61LZo0bEFOp3VGJ5ln+Dt9+X2RKL5BU3Q4dRIa50C96Ov09B27Nsk4cCKP/HjT8KLc6dThxjs0MfwN3EOSdS2JldFp/hdeFWdZ2Z73VB/9ed6+Xr+nk1wVvVs/3ltxzZ8xDEfWgeRq1bhM92WQp13VZAojn/MKnPbzWN5Bpq79flYBrKjuOdpWX77osGgDkandJbtuOprLHbVMrw66WdjO93NMVh1TLuRsco4d0qes5rGzdGtWbRRb9N2/Cbml8evfsQefCuPZ7n3CyGEEEIIIYQQQgg5XsjLLlT9F/WbJlmdsvt3ZWP2+6uwfPFW/LpgC7LS81V5doYLqT9sx+pfdmHDir2qz8SaZ2cWvpycisxDRt2KwCv+xUdV167ySE/LQxWxHfLps3Lw4oolYfxyTnPh8NMREWn0ZMbGR6kn2a5eVvFPrj2Ua7RZI6Ec76ILg8gOKZBPILYGuWrk44rlu2GrJ9RF95aD0bphd5zT+koxXYFz2gxF52b9ER0Vh5QNM5HrOoQIZ5SeT4kaJasaliNlV5+lyo4mcrT24NvPVJ3ljVrUwN9/7FOjvCVH/MhiOSJWjtw02bb+QIkOwVBT8VEeHSuRPewZB/LCmuRFbiE2cUfAe1uPFoUFRqd1bJUovxOzNOQFePF17dUk56t8gq+Y02H8hUZpyE5Z65wIMvr3aCFHbfpGfv6EJ5akAYn10OkqXRQmI/7VDPFbl/uPAJ3wCqYuD/hCeLQzTk9Mw0K/d8N+iVEvb0Z445nliFDbaN0Z72HZViD+tNMwSBX0wH961QrYLmDWnROxUNQrG7EP+vuPBp5151rsRBySjSdoq87nIZ3jSoyanXXnK8ZIVZHv2kSOqvVfz8/Evojv3BkjdJEfYbVZcjSsuV0Ne92gt99EP7p1g33UXiNcenk9xASMSJTvdp32eSkj/BOA3VPto/i248tnN2A/ktHucvOl8qswLWDU3tLv96AA8ahu7rcAWtWKB3IOYr1tJOjSyQGjBYNuRziUsT5L94v1j0b9DvaX4gc+Llhup//6rP98i5ovvoEuqGDUPhH7tfO42tgx9hP1qOOXxop9nVAPF405F62MamFQiC2f+7bf2PZoxKRvsI0IFT/krSoETqmNnrokEOORy/v9j/3kMEdnJuRidcBoYPmOWr8RqeLcW70DiKnuPwr5sNDvGV4d9FwW27Fpmd+y5brIx0jX7hrGfm1+LtqdIkdYB7sO/OnZ27jG5Ehhi6Xz8a3c14QQQgghhBBCCCHkH09eTiG+mLwCG/80frMk3xPb9cLmcOUVobjIf+CW9LJc5mU9iZzvi7dXID/3xP19k3w6qyQuIfTAtnBIqhnek2GPGwri4HB6Q/QsyS45BzxeL+aseAMfLHkUM36agA8XP4z5f0xR/Xyyhq9n0hfJ9mS7KAw98royObQvx+ozlU/czTzgG7V8xB2y8i8V3n5iiXqpskR2qL328IKg7/0MnORfQBxt5Pqt/GF7mdMfP+2wdpo8tqt/2Ym0XRUz3L28yA5LuS7yPbYNmoX3y/rWnevj4mvlKKnTj8oo5IgQHa+eII8xLi9yVHO/K9vijgm9ccXIsyrpxd352PxjwCN0N2Uj1975GBaXomUTIPdgmvY+Zu0x/grCZES7WkB2Nkr8zcqMdIQ14DB7D1YEPJ5350Fx805MNB5hfNVpaCa+l9L3lHw0sKoXLnLEb8p4fKYmY/Rucr0eKjXonHqIRxo2BD7CWKPy8hHJAXljXySgdpDO7vDaLLntkjdWB+lE151TO+ydX80bo37CYXRuBnSaGqQjV2xOiY40Oep13JXGpB61Grrzcn1artgd9XDRLe11SRCCbUd5CLk+RmdkTPuWvs5ItX8KsXtlQIeeHPFotqEfQ1utltGRK0eQWu3raXio3s1ysH+BveNvFaYtEFeH2FedVdvyscP+y7x3XD//TtXAY7YpC3LMaMGh8g3r3X9Idti2xB1Wx3s5yHGV6Kw08F9/9Qjh5KohOkXD2FZNz5biXPTrPLYT5LgK1PYlxBqPFrafK3oyt7tVhxri3MnFoRDXgQ/jDwiC7Wd1vhNCCCGEEEIIIYQQIpAjQ+fNWI1f5hu/cGp8Wg1cdksna/SnifSyXOYl8ombcj63u+IHeYXq76gMzuhujDzde4RPZ1372y4dnRh4XVUgR8PKQYjGqFYD2dkqvcMru1Y92Lr/D/y16yf8vfsXbBC6LW2NrifrmDMa3bqqTISyXdn+sUA+Zff1RxaqfsZXxszHvp1ZOlMBHbKSVT9ux2TZKev2ovnptXH3M/2sd4KeiMiOzw7nNlKPLJYH8M+UHTgQ0Jl2NCl0FWND6l4V972yrdKyOLtPU6Xrl+/2G8FcWTgR/Hh7vEf++OE7JvZRL+tu17Uhzh/cGo++cwlq6b+AOe64KhmyWy5YJ6g/PVBbfm8cTLeNjq1gmiciHvlIL9FxEi7yPbjj8Zl6v+5jGNJNTsv9OpAb1ogL3qmsUfnEZrjO6tDVU8B7ae2E1WbYNMKlXZNtIz01DWIRg0LkVsZ3lNlp2RdYbo7snCpHZZbC0vlGnVNa6g6wwI62ENsRDmGsz/qVB4VPxil6oWpko19HpnwPqGhDvX9UtyFHq+qsRI6yNMp90+G8X9afIB3QakSv2REsR2b6L/OlwPeQVhBq+xakI6Z9V+MYlWeUbnpWiZG08rG/947rivqbllnrLkephibMbVUjWA9nJLUNeT76LecTa5SrGikcsoPZRvOqqCYkMy3YKF1CCCGEEEIIIYQQQvxZvngbfprzt4rl6yNlR60d2f9kjgL9YfZfWLE0/Mf7lpdQ/R0Vyamn18adT/dVKkf/Lv4irGfxlSA3u0A9yfbHb4x9d6LgPVRTdbJ7vQGdsqpDVXjxz+P1ICYqHnHRSWKqqjRWeFku8YqK1mhZ3Rnr9TqMdkX7x4q1v+3G248vxl8rjX49kwrpkJXITtk3H/v+hO+UDdYZK0eoHmvmfPSHUvn+2y79mqk4FOdd1grtzzFGM83/n/HXApWN0xn8L0aKPLbHPgdQTdw85TuIQ03yPb7yWfAtO9ZVf1XwxPVfYvGX6xEZ5UTX/qGHrRZ7Su36OmwCR7ie7Iz4uDMaZm/G1G7+jwa2U9ZIW5VXbZgduvYpeLthtRkuoUZ67nKV3kF6GBgjARv5HoVc3o7BTT9gkur8WoYtOfJRvZfiUvM0D7UdZRLm+mzaht3i9K7dUo7Q1Y9GXuZ7HG/PW1qids4efDv2S3x52B385cMYRRn6Mc/HpKPP6qjUj04OMUK1THr2Q2f12F9fR2eFof7Y4DBHUofT0VoJcMQsIYQQQgghhBBCCJHI925Kdm/LUCqfnin7B6TKjrddW4zy6JjKHcEaqr+jIrlg2Oloc1Z99fTZaS+kYP8u30jK8vD6Qwvx6eu/lejAPt5x725sPHnX4bF1poqE1yHKPYhwRiA6Uj52WHbMukXOI8rlE1kdiItOEMdIduZ6xHyyU9Y2v1DZbrFo/3ijwjpkJfKFyidyp+zx2hkr2fjHPtUZKbn2wXPQf2i7EkP25Uus/313F1x559nKyyH78oXBR4NIZ/DncRe6Q++/aHFutGhfJ+QUVyXKejH31vUHsG9HFlL1S60Tk0OPknS5K/PR0iUfs6sePWwy4y9sFotv2O5SXeDDrx5+woq/8oEmjUq+R/XRRsYjh4+UCdvV+16bnWM8XthHD3Q6rTyjTG0ErJvqpC7lPbtl5YNxJG0aj4H2Pc7YeIfllpKdiOqxtYHvTQ2DhBpoFdhBqB9/XFoHofGY13Ax38fpe8RxyO04TEquj1jmsnTjHarhPhpZ1atEgr7bVqCWW0mjm8NmFaapUcahO4zLj9ERfqSU/rhiSbDz3nhncLCRvIEs3SAfGR36OrDw6+T3R61jCUruy+D1CCGEEEIIIYQQQsjJSr3GSUr3bM1A2y4NMPz+bugzpA2ufqAb2gm/d7vRIVuvsXw2W+URqr+jIlGdh4LZ76/EL/M3G+YwMNs50fDsa4Ci9ARERjmUNzpVZeeqG9GRsTiYvQPTfhiHrLw0REVEw+0pRlRkHNKytoryx5Gdd0CVy456s1NWEhXtQNGhqvDuq4Bfth4B8hyVncR2KrRDViI7Zd/6zyKrU/aOCX105vjnjB6nHJedsSbyrxx+/36LOoiX3twJz391Fe7/74VqNOno1wbg6U+vQK9/tVR1U5duw0fP/6zio0FMhP038T7k0PFQo2Qz0vKCvlvYnOSoWHnjlS/27nZBc9z/8oW49Ynz1LyygzoUBe4cHVUwuoPz9BtvwCBdhEfvRp8mOlb8hCeWpAFNOmPqa7aO0BL1gFl3rhXt1UKfebb25GOCS3mcb/n4EguX5yO+84X476O6SDDotV44PYwnPquRqH4dn0HWbcIrWLhV7JN7HsF/bB2kg1672/ATluPPbJm/27/j+aob8F9r/+hHI3+sO7HLbDNU/hGxj/Px55T39GOg9UjPoI9uNd5FKh8/6/dO0ObnYnip7wiNRtPL7Y+qbY/h8n2sOXuwXPWAbYcaKCs7NqWViDZ7ty/9heytLu/nGw0r8et0LG07yqIc66M6QJPRuW/JRyMb7xe1d8KJ7Rb1Khb9WGTrPbrmMepk2zd6uRXYOR0uPW/xHw1b4l2q5enkVyO0/euqUcg6PnxCv7fVjv8+lcvuiqYJhdjyfRjn2NIN2JIjroPr7PtDj8TWzsDs5A94764aHaxjE9357ndtBatHCCGEEEIIIYQQQk5aHE4H6jaqquJOvRqj1yUtUSXB+D1mXHw0egrf+Tzjl+zy6ZqyE66yCNXfUZE4de9cceGRvfaxEndD5VJQBcXrOiBCdsiq98XKhxQbvapydGx2/iH8sOYj5LkyhJcjlj2IjIhSHbQ/rZuO/KJsOB1yQKg5n5hEO7Kqe/0Zov1Y2dRRJ7ZKFJ748DI8NuVfGPv+peqJryYV3iEr+TNlJ157eAEK8osx9+M/denxz/a/Dqph3X/8fPx1xkrku2CnTPgBM17+Ba7cIsTERqpObzmatGlr43nbORkufD0l1Xin71F4d6xJhCMKkc7gnU75xcFfRl0kbjR/r9oXcnLlFanpv/fPQ+bBfDRvVxtVEmPw1Tsr8OuC4H8xIjt/3WrYemXwJUa9vBm59neittuOIbPTdF4z4RVVJjtCrXemBqsn25PvZPV7x2ojbAh4T+uRMOvOiZi6PB8NB5rtj8cQLFFlZSHnNTo+S1+3N4Y+JtqDrd54XHdath6l+hOe6P+YaKcW+uicmu5JxIY7Q79nt/Q2Q+Q752Ch/THIZY301O9thflOUP2O1NzSHgssH9u7LBYXmfXHtURt+TjgZ32P91062XzksK5zOfB9We+QRTyaXme2Kaa+8dgyVT8eONwRqyEIf31WYYd6h2nJRyPL96cu3yE74cx1rI0dAe+QrRTkMVqQa1tuS1RbtQwvTT6C96MeNrZ9KKaL2udiud9joFdh+apC6x2zfp2QgcjHU9vfRyumUzaU9Q7ZMAjrva3yUclbEG873zqfki62JdzHUcsR3AHn1LhOwOeyTFcxUcfPfzvvbblflfmjRxyrx0CXVo8QQgghhBBCCCGEnKzUrp+IyCjjiavykcSyf+OPlB346PkUNRBQ9o+YjyqWWrNe5XSayn4O2d9BKhc5stX9dxvk7aiBqFiHOL5O+bRhOByy29KhOmET4mpYj482O+AjnFGIjxXlDlnuUPVVd66YPyrOgfztNVS7xrtljz4tO9VDLXEuS+o0rIpWneurWOIY0Xtqpa1VXHwU8nMrq3OscpC91cVFx/+ztp0RDtRvkoS6jZPUwZV+67oDWPv7bnVjOhbkFKUhr8h4ZEAg1WMbHdEwf9nZ3LB5MtJ2ZyMvu1CXliSjYCcK3eV4x+jR5NG78dlAYGG3V/CGLgqOHDHaGZj9GEZN0EUVjBxNet1pezC1vzma9GSjES4d0xX1Ny077Hd09rzlSnTGBqvzr9Xll+Ki5gfxra3ztfI58u0g5OhQjnO1Zz/c2xcBHdqEEEIIIYQQQggh5J9Mx56N0O2CU1W8c+Mh/DD7L6Sn5SkvqV47Hude0hINmhqPNf5x9t+qw7aiiY9KFlNN7SqPmx7raY34PRIev/bLw37/bDj8vS9FaYs63ZRWFOajhh2J6Yi96HM44wvgLgQcTtm/ZXS+GnVUaNU3Yl8HrXDwehyIiAbcObEo+G4wvNnJfvWPJvJRxf/3ziVqxLd8kvD4G7/Cvp3G8amUEbImJ1pnrORE6IyVyAO5c1O6eoTxtx/9gW+mrsKaX42/EjlWVIlMlleBdv7kFh3S0eEhRy5v23Cw1M5YuYzjtjNWYLzfNLvs0a/qPa35SK+0R7Lqd8geTD9JO2MFPVuqR7AGjvQMn0aoLk7nsh79Wukc8XYQcpQI413KJurdsDmuyh9hTQghhBBCCCGEEEJOGOT7YzMO5GHOh3/g6/dW+nXGSg7tz1VPz/xu+p/IOpSPek0q4T2yDgfiIo0O38pGbqd8reORsOCTNZXaGVuZyM5SLzyq89T18/nwFEaqTlXZuSo7XI06Ruer2bkqVXpfuVE/UsznKYxA4Y+9jc5Y0e6x6IyVyFdxvvbQAnzzwSq8PHqe1RkrqdQRsuSfR3bRfuQXBX9EcUJ0TaPTthIo8uQh3aVeuHnMUe8y3TPRb3SrGpHaGfjzZdsjda+6AVP/lY7rhn6pCwSy7J5mwPLvcF0pj/QNlxEfP4LaX9mWKRjx8Xj0aZIWxkjdfzBqBJ/tscGCYzNClpDjjfYYPqYqlvtdB/L9v/rx3bbHSctrpnPal5hmGwarrqP28Lu2CCGEEEIIIYQQQghpfWZ9bFixJ6xXMconap7WoS7W/b5bl1QMcVHVkBhVW7vKJ1JsR+NWNRERUf6xk+lpueqJopXN7oz1iIuuiuQqvkfvVixykKTY/qQ0xJy7ELH1D6G4wAN3kQPGQNlg54PskRXnQbTYh9EOFOyuDtePvcVOkcdOt3ccwg5ZUqGIywQH87eov1QIRmJ0bcRFVuxfrsi/djiYvxUe75G9/LrCUI8mrqWNSbAOUOPRxA21M9lZgY8qNjqC47TTZG8+iR9VfCQYj1xtql49IN+z6d9hxA5ZQiT268RHwaogjypWf9gQ+Ec48n21fFQxIYQQQgghhBBCCDm+kCMqa8Y2FWq8x5YcPbzin0N2skYWILLVn3Ceuh4xtbLgdXvhLtZ9TVL0oNeIKPnuWKDwQBI8m1qicO3pcLhjfO0cp7BDllQ4pb1LVhIbWVV1zFbEhVHkyUdmwZ7jpzOWEEIIIYQQQgghhBBCCCEnFEfr3bEkOOoxw+bI1pg8RDTcAkf97XDW2A9HtAuOqGJ4iyPhLYiF50AdeHc3RvHOxnAUVlGz+M1/nMIOWVLhyL9CyCjYiSK3S5eUJNIZg2ox9RDhiNIl5cWr3hl7pO+mJYQQQgghhBBCCCGEEELIP5coZyySY+WzLI/f0ZXkxOf47i4mJyRy5GtSTH1EOEN3thZ7CnDItQ1ZhXtR5AndcRuI/CuH/OIMMe92dsYSQgghhBBCCCGEEEIIIeSwkf0YSbENRMTOWFK5sEOWVAoORCAppgGcpTxvXb5n1lWcjXTXDjW53FlqdG0w3N5CZBfux4H8LULTUOwp1BlCCCGEEEIIIYQQQgghhJDyIfsvkmMa4Hh/1C05OeAji0ml4vEWI6NwN4rdBbqEEEIIIYQQQgghhBBCCCHk2CFfqyif9Ol0ROoSQioXdvuTSkXezKrHnILYiARdQgghhBBCCCGEEEIIIYQQcmyIiYxHcuwp7IwlRxV2yJKjgAPVYuuhanSdUh9hTAghhBBCCCGEEEIIIYQQUhnI/omq0bXVyFgH3xlLjjLskCVHBa8XiI2sihpxTRAXVU2U8GZHCCGEEEIIIYQQQgghhJDKxoE43T8RG1lN9VcQcrRhhyw5qsiXYydG1UZybENx40uE08FTkBBCCCGEEEIIIYQQQgghFYvsf4iNTFD9EYnRdVT/BCHHCseI3lP5twDkmFLgyUVBcQ7cnkJ44YHHK6dinSWEEEIIIYQQQgghhBBCCAmNfB+s7ICVna6RETGIiUhAtLOKzhJy7GGHLCGEEEIIIYQQQgghhBBCCCGEVBIcn00IIYQQQgghhBBCCCGEEEIIIZUEO2QJIYQQQgghhBBCCCGEEEIIIaSSYIcsIYQQQgghhBBCCCGEEEIIIYRUEuyQJYQQQgghhBBCCCGEEEIIIYSQSoIdsoQQQgghhBBCCCGEEEIIIYQQUkmwQ5YQQgghhBBCCCGEEEIIIYQQQioJdsgSQgghhBBCCCGEEEIIIYQQQkgl4XjurjleHRNCCCGEEEIIIYQQQgghhBBCCKlAHG7Xdi8c2klk9yy9D3p6eh/09PQ+6OnpfdDT0/ugp6f3QU9P74Oent4HPT29j5PY5xdEwFUYgWK3E26PvRIhxxcRTi8iIzyIjXYjLsatSwVHcj0EyTncBdu9sszMUalUKpVKpVKpVCqVSqVSqVQqlUqlUqnlVdkRm+OKRlRkJOJi4xAdHQWn0wGHQ9Yg5PjC6/XC4/GisLAI+a58FBUXIyG2EFVi3GGd74EqCVnH7dpmjJBVTgRi4fT09PT09PT09PT09PT09PT09PT09PT09PT04fqs3CgUe6KRmJCA6OhoMxGgJoHlzDN/7POyYzY7JweRziJUrVJgS4sgnOtBEiLncBdsUyNkTVTOCBX09PQ+6OnpfdDT0/ugp6f3QU9P74Oent4HPT29D3p6eh/0J4/Pyo2G2xuL5ORqwskRsSIvKvirV6gjSDnzzB8/eTliNiMzE064UC2+0DjBBaJa2NdD0JzbtVUqIYQQQgghhBBCCCGEEEIIIeUivzAS+QVxSE5OUo8nLtHRJerIzqmSHWDMM3985mXpoUMZiIvJR1x0sSw4YpzyQy6ASqVSqVQqlUqlUqlUKpVKpVKpVCqVSi2P5rhikJiYoDpjzTI/NaRkOfOGGsL8cZSXI2XlOS3PbbMsHJWErON2bVF9vYQQQgghhBBCCCGEEEIIIYSEixwd6ypKQHKSfFSxvbtJ9kJZYw9tasI888d/Pj0jC7FRORUySpYjZKlUKpVKpVKpVCqVSqVSqVQqlUqlUqnl1oLCSMTFxhpGIRM6aWH3zDN/4uTlue0S53i414MkZB23a7O9y9fXERwK5plnPjTMM898aJhnnvnQMM8886FhnnnmQ8M888yHhnnmmQ8N88wzHxrmy51Py4xHclJ1RESo8X+EnFS43R6kZxxCrWq5R3b9iFzJDllCCCGE/CNwp6+BJ22l0L+B/DR4Cg7BERELR1xNOBIaIaJmG0TU7gpHVLyegxBCCCGEEEIIIYQQH3vTE1G7ZjIc8v2xZocUlXqSqFf825+WjrrJ2aLgyHC48zd5w10wlUqlUqnUE189BftR+OdkeA6sEgWl44hKQHSb6xBRr1eZ7VKpVCqVSqVSqVQqlUqlUv9ZujejKurUSlYFsvMqWDUD5pk/MfP7VIdsVslEMJWEyDncrk1mFULICULGplSk7nSJqBpa92iDupFG+cmCKyMLLsQgKSlGl5ST4jSk/rQRGSKMbdgW3ZpXNcqPSwqQkVEgVrQqkuyvWjieyclCRvERHJ/DQJ0TkWIfJegCQbAyUjaerM0o+HUCvEXl+6uuyEb9EN32Fu0IIYQQQgghhBBCCJEjZGWHbHXtgvRCKTWpgLy7CAWIQkzEYc4fbl4up1gsJ+Yw5y93PhsbUzYArc7EqcmlzO+3XkHyfvMxXxH5fWmHjA7ZIyTiP4/e/biOj4ACZGTmwuWNQWywjiFXFjJyCyDOEBwP/UauFe/iqlvewc5WfdCtXoQuPRro/eQqCDohQuyf4+Ax68du/5Bw2DvzPrTvMx4zU/cg9atVqHXZAJyeqJPHKeU7p9Lw6U1noes3zXHb4JYod1+bay0m9uuDoc/8ir93/IAPczrh7nPq6mQQRP0Xr7sPL+xqiUvOrnX071G7vsHVjQbj69ZDcWXbKrrw+CblhbZoNSgG/R89C6fossolFc8m98GFsefiP9axDFb2zyJjQwpSVhcguXEywu3L9xamo+DnR+AtztUl4ePJ3Aw4IxCR3EqXVCLF4vsyW6zjYX4v8nvsGHCM7qV7v34cl96/GIm9zkPr4/y7kBBCCCGEEEIIORnJccUivsqRjTQp2L0av63egZ079ohpt5gOoSA2CclVAn+vsxufXXMxLv+gCgZc1Q5yXG7lUIhlT1+Afg/txRn/PgeNo3VxpfIX/jdgJDaddyPODPnrzmOxXiQ3z4WEWDlA7sgwfs1pdgAfru6ei5vrdsLNX6cZPiC/9+uHUaPuw/hit+FDtnOUdM+aFHyxcC6+XxN8fStN9X6qEWJ6MVXXC7e9StJjtn+oYehaTH/2a+wd/CJ+XP4hflz9OoY2VNkw5z82ume1PqdWi3PKKs/CuiUpWHfI9BWjGd9/gsd+bYNHvp+LH7+bi42PdDQSoebbvQbfz5TrtwZ7pA9Vr7LVJNz6x1pNwq1/pGoSbvk/QLd8fR/6XjgX67RXlKEFK1+BtzhPxSlrPZgw3YPXvnJj+36PKjMpLga++NGDxz/w4P15HmTnGfmivz6BJ3t72Ms7bE1994i+F/k9dgx0l+1eGk79cmkB9q5IQeruAu0NkeXrfp+LReJYr9gocmW2Q6VSqVQqlUqlUqlUKrXCtQLI+u19XHvbo3jplVcxSU4vPoJre5+P3rd9jLXGr7I0NdHmgl4YctmZMH8tXjlEo/nZgzBkYDc0r4QxNGvfvx7Xvr9au/JQuetFSqE810OInFMNufXKYbdHokIUgeVaQ5UfI216zWs4uHc5PrumQVj1K06FCC57/Tu1/MDpvo6B9Y+NHrv9Qy1bXXCtEufQxR3RNKz6x4c2vVafU9eKc8oq34gvLrwGX2z01fOpEZYsL1tdOfuFnocB3eSfB5XMl9BmQ/CZvAZnDEHTcOpXuApRBJYfzyoJVl6Jqggsl9j9P0vrNZZ/bFCyPJR6Dv4Bz6G1wgPL1nowfpoD+zOAFRudGPUGkKM7XSXvzvXg3e/EHacQmPMb8PiHOgEPiv6aFrT9ilcZBisvW/k9dgy0ue1eGk79cmkmFr1wDSb8mBlQHo3zxy4Sx3oRxvcS9/wy26FSqVQqlUqlUqlUKpVa4So/RaycUvEvqJaWl60MxIPT38PUj8X0yVf4cf5zGLT3Ndzy0CzsKJa15PxRaH3NBEy47lRE+81v5u0+UMuXr9nnXkx4tCcaRATPl9Tw865Df2PZIbPcVJFXk+kD1Zi/5Hr5530+UJk/3LxCxOKjbC0lVzEjZE01Cbf8mGkMkqpVRWzY9StYE6qq5Scl+WtslM6H206l6THeP9TSVRIZE37940Ll+0bFOWV5wf40qK6hUuc7DFWUb//EyuswzuePiZqEW/9Yq0m49Y9UTcIt/6eoSRj1i3Yu1gb4axdwWkMvXr7DieduBtxuYOcBnRT8tRMY0hN4+mYn7r4E2LoX8LjlDw6ibtpKeIvSVRzOco+N8nvsWGis/HlG3ujDrB++pmHLTzqW2PPi+9B6n3XI+alUKpVKpVKpVCqVSqVWmkpErKxSw5TU0vMKe3md7hj13/vQZvGLmLIk26giPnYtnIwp3+/x1RP/sv6ah+nPPYE773sR079agzSPUQ7HHix9fSZSc4DsDfMwbcKjePTJGZi/qdDI71+Oz58bh0f/7zV8/utBqz35X3bqTEz5dDXUko3/9HLGBVmO+M99EMs+fRvP3HsPxj0/E0u3iIWqlM6r9c/G5pRlSN0o4hWi/Ulv473Xl2KnmReUWK+UQ7b5g61XadtvV7H+K2fivYV7AM9B/PLJ6xh33zj895MVyJL13dnY9O0Msf6P4pmp87A5L8j8W1Os9Zo+Z6Mxnz1f2v7ZtxyfTXoRj94mlvlpCnZlm/MZWrh7NWZPfQ3jbpPLn411B/zz4j+rfbn8914X54Haf5OxZKeRlx8HUmfr4zwZny07KIp88xtq+kAtJa9zYakkRM6pene9upf3CNSgZLlSE1v5nm+eQt+Ln8KcfQH1V3wUvPzgCky6+2a0a9ICEW2vRN+B14h6YpL6+pry1VsuliH8pOXS2Zf7EVKFz/jpI9w15EI0iO2OdkOewsfrXb56poa7PgGqd0SJcj/N2IE5kx7HkAvEOsS1wKk9R2L0JxvhClI/fc1cTLz1Gms9bnlqLtZl2OtlYt1Xk3BLr/MREXs+egwX27M605YPosH2T/F+LHrxEfQ9s7tu53FMWrzfl7drdgoeE/PfMm2Hf/nqTzBElE/8yX9/un6aJJb3FL49oOsV7UfKJ2KdL74Sp4rtb9BZtPXSCmSY7eyci7uCtS/VtQITxXG4a+Z+/3Kt6rwbvRh75H7531MYKLdH7LchjyzGFlUvEyliO3u00/tz0pqg+927L8Xv+Jfc71LX4HVzP26bi9GXi+PZ5GZMWW/mM7H2a7GdPcWxiTsf5wx7CtPXZPovx64bF+OFR97BFHEGpTx7n3G+ifWT+dRJ8vwzzl/7fMZ1Zi/fj29HX4PR34j9k70RM596BOe0FdvQTmzDiyuQHjC/TzdiyrViGc+t8N8fmYvxmFiPW6bv8K+/6Wtx/G7G639or66va/D6CsNv/uZdPPbEh1gktmXKA/q68VtPQY1ExORsxBcTbcfDfh6UUHHsPngRj02Rzzj9FKPV9SjOq70yuwaTzOVvFcdCXt+Nb8a7G+R8xnEKdt0a15dxHprXod/yy3vfkOfX648b513jCzHwnk+Qmi5yCv968vwcoq5b0d6Fj2DiVxtLOT5Cy7pulJb/+LvWz8WE20SbsWIf9BLr8d0O5Os1FpVK1PdTdZ2MNI6f2t6PsEgdD1+9jNW+9huceTPuej0Fe4qDtBd0eUaZzxta5nET/zLE9fT6PSPRt7M4Fub1t8Hl147SAytEPXGtNzb2k3Wfl6qvP+++xep8U/vVb37jvCtZHs59WdwfPhHngLo/iHPggkcw4evA7TCxzxdaPWl/wr2hGO6/3bi2jwPjrzXmrlHNgXfvA1o18r2s9cnrgWtEHck5pzvxxj3iRw/xE1bxymKxah7xM1vo77mKUbXooHn78W3QWZwzk1KwtyigXkV8zwdo+qbF6nz2fQ8GmU8tVyxD1v9ZLEPe9+XxuzzE+VVC7d8Lcr7H8fqSkt9ne2eLe/uYxdgr6qdOMq7jUx9J0fdnl+38kvcPfb6q89b281XmDnwr7kdDLpT7QV7f4lr530ZxfdvXx/Y9Zvu5R+73kj+XGOe7dV2If2o9zevFT8Nfj/RfP8GLD7+OKfv0d1/A/CF/npQ/t5j3W3m8bpuEL0pcZ/sxZ4y4RmeLn2fK9X1DpVKpVCqVSqVSqVQq1VLjVzhiEu4w1WgmSL5JL1xyTiGmpaw2fg8hyvevmopnVh206rlWvYVbr5iKjY364eor2sH78/O4f/JqnT+INW8tweIPHsW//y8F+5Mbo+rfb+POq5/GrDlv4drhH2BjlbqomZuCR26+C1PW+5bv2paCZxZvtZZb1nLmjRqC+78BOl1xLXq12I1PbnkK89ICtsebgx0rfsaazWq3KUSplZesnvkUrr3zG+yQ61W8HC/ddhveWFGo5y/vevkvv0DM+/Tiz/HGVTfiw7+i0LB+AZY9eTdunTwPs8YMxxNLDqDWqYnY+OY4XPvEYmTa5t/x5QO4aOjbajmD+jXB/v/diltf9h2XUtdj3zzc968HMBftMOi6fmi+cwZueXwu0nT7O768B72HvorluU3Qa2g3RC96EZcOfAHL1K/TjPb3zxLLv24mMttejEEXN0Hm4o/FftgL+ds59Z+3ACteHI4eo+ajoNNgDOqUiNSnr8B9X+5W85vtHI4qpDcWVKra40B1huioLbeahJ3P3YlFC3cis1h7Q+AozipZvmserun8b7zoOg+Tl/yOXZ/fhG7Fm7BoZ1V07HMeBjSuWr56ahnLkCGW4b/cxZgy5hacOW4tml75EN6ZOgRNfp+Cq6+dhpVmPfkR7nIEgWoSKu/IWYbRPXrj7nlA9xsfwkffvYb7WqXhxeuuxehvsvzqb5n5KM46805MyemGR9/6AAsmXgIseRoTvtmp6+3El7ddinZ3r0Ddkf/Bgu/+gzubb8IDZ96Cp1YY72ErsXz5UWL/FGDx2EvR9+X96D32BdHORDzQoxAzn/oMy3JUBf/5E5qjTbVlmPLLJsiHC0pk+ZZfZuEL0e7rS9b61U9d8hEWoTla1ZB+J6YM6YEhz25E0pU3YfJ3k/H8gBjMeeTfGPiqnq9BV/RuINr/JAVbpReY7RX8NBePLayK7l1qKW9fjlJ53n3yNV68/xYM+qoahk/4D17tFYOUl27BXW8vwYybLsVjG9vggddfw6s9gCmiXuB+d/36Bs5tci0m7Gpj2+9PoF37+zFjm6+e3G+ZYnvX/TQN1/R6GltOuwL333MJOjaW+Z34Qhyb023HZqQ4NqPFsZkojk2J9Ta1Vi20ElqvfUcM0OeaxJW5TByzLHHzMbDqq+vMvzxj1zJMn/ku7rr4FkzP7oD7zW0V+3jM11lWPX9tjtatxDn+Wap6X6VZXvB7CiaKbZzyTSr2Cm+W71s+F1MWivPgNMMb19cyv+s6uUYt1BPaqoPYDrktfRoiSWV1OwcWY6xYx2liHa3jIdZxtFhH33r5K1ANdRvIY9/cuBb7NFejtRziWGSI5a8Xx+Jq27HoJI6FeZwWZfrvd+P6egI/17kar373AV4d2RzrxlyEgc+tFXMYlOu+IY75jJsuwjn3L0Hs5Q9h9tSHMLzuMlxz8f34QuV927F1yv1od10q6t0kz40X8NyNDbFi3CR853d+2TWM60bVK9/xLxDnet8Od2LStlNx3/8+wOT722DPG9ei3zhdQVNyfYzrpF8XcZ1sENfZRHGdvHUHuh94F4+9lWrdF7Z+cj/ainvYt7gEz4l9/M6YTtgz6Vo07PMGUow/IFOYahJseaaGc9wKFj6NM9s9IZbbCTdNEPe0/92E1jun4JoLnsa3xh/CKRziXn+1uNe/VMq9XtUT58EWcQ5tyVXWtj7GeedfHt59eYs4B04POAdSxTnwrTgHfO0L6sAYeS7wKw9UTzHcO9Lh2eyBZ6MbnjQPEuOdmPubBxnZXtRM8nXGSuJinIiIcOBAhgeLVrpRO8mB4j888O7xwL1azJ+XVvryKkBN7OVbxDnTTpwzcwLOmQbinPH7PirxPSa0XNerv7rEOXOWOGfm2M6ZNuKcuVqcM9+Jc8asZyzXWMZZAcu4RixD/rlIsPYN3YmPxT3i9H8vBv79kPqufbRzGl66sAfOeSrVd9+RH/LeLr5LZz53CwZ+DZx/00O474Lm4lwowMrnrhXnVwrq3j8Zu/b+D5MvOQVbxb5A427qnpgsTxjxs8YY8bPGXUF+1hgjvvMkxnoZ98c5057GoF4vIbWJ2O9vvYAbm6wVde/HpD/s62+c7/JeanhxbtZqru/veupxCiDrRIrvFHHuhr0egd995nYIgv48mZOKp/r0QN9nd6LjmIliX4r7bWQK7jzzIlzzyU5fPUGmvifeXc7vGyqVSqVSqVQqlUqlUqkl1aS8PhBfvgYanCpk90EYvykoydqFHyD1mvsw9spu6NKtP4Y//R4+uLmdzkqW45esgZjx8ViMuuNWPDhpAobnzcPT39bHhO9exoOi7N7nH8eD9bdh8QrjF7DB1te+nK56OVP1chz7U/DVktPx0MRb0a9bZ/T615147bsJ6FdTpW3t1UOvO67D+c1E2GkwbhDLvvGOXjjFSCoOVOmF1/S6jnr6cYxquwfTUv7S2ZKUvf0B2zN/G2pN/BSvPXorbnhgAiY80AKpk6Zix5UfYerTd4r1eQgvjO2FtG+XY53+hZRjx0yMG5uNUdPfw4Ny+3sNxCixHzt88gSmbSh7/xxImY/Z7UTujv4i1w2D7n0Zc57pD717cEq/JzFn4ZsiPxC9RNv3qmM0E3OXZqu8A39j1uspOG/scxhxUWfRhlj+M3eii1h2m2tuRS+xAwtSXsNdn3TG1Dkv40ZZ56Kr8ORLdyJ77GToZiyCHV87gd7ELC9NS8s5jd5dL45UJVvnfoQXXnwXL770rp++Ptf45Zf/fLokaHv+5akzJ+FjjMDkl4eha6NE1G3ZD+NeG4WLNuxE3d434L6LG5SrnmzXIHC5S7CieDjmf/ck7r2iJy66chQ+fHkI8Mc7mLO8/OtTsn05CXIykZ6RiYxMm+brevFd8Ojcn/D3F2Nx35U9cV7PfrjjrQl4pU8aJs1MwR6zvZ1fY/TwT5E/7HnMn3Y7rurfBedfMgxvz1qIj4YZy9/7ydMY8kEbfLTkbYwT23N+r5646olX8dnDBXjshbnYG2T9/NbT8mvw80tpOH/sWDw8SCynVxdcOuJJLJh9O7rGB5u/Jrr06Qq8nYIV5nZ507Bs4TI88vAI4MsVavSQUb4D635KQ4f+bdT7O73eBhj21k9Y/dvzeO7afmL7e2LouFcxWcyW8sJiPV8iLhw6AnXnTsPMVfbluvDzwinA4P44r7693K5C9on92HYCVqv9Jvbv6xMwrj/w7T1P4Pv+U7Hg9WG4VO33sXj2DLHf561Aujl//gq8eNdLSBn8PH78bJRvv3/6Kh6pMwtXP/K1/34Vn5PGfI3W/5uDzybegHtHDUTHWC/2/M84Nh8ufhvj1XE2ttM8NtZxtmvznmL+QeguSpr0vxr33SvaG2C+H1GIUlt9pYHl0gN7F25C01fn4NMJQ3BZr34Y8eZYPHcGMOWrlJDnRcezB4lrQRyDTb7y1F++xmXimF42UxzTTLPchbUr5wG3dkWHGHs7ItLzNRkgrpPbeqGJcN2Hy/0i/L090cSsJz9+2okmr8j9NsR2PIx1DLp/xHnR9ZobMPIC+Tr3jhgm98+oIehWzbd8eSzafCK3Wy5voG/9VNbWnr6+OrwzA7PHDcSFPbuo+8Gn00bANXYSZu7U9VT98O4b8nq8eroXQ6dOxacPDcRF8np86Hms/mYszhe1JEZ7aUhZuARi5fHsNfK67YILr7gdny17Hlc1si/XruFcN7KeEEFYx9+1Ai/Ic/3sUfjs0ydxxyVdcN6gYXj1yy8wS7Qr2zMaDLI++jpZ1FjM+9mTGCHvGxcMxMMfLcSPYzugmqy3S+zj62ah3sMzMP/NYWI99HZ+8zwu+/Ul3PXqCuT7tSvDgOUYhT4f5nGL6T0CP25diFn/vQFDLzC2a/Lb4jjsm4ZpS9Ks9lI/N+71b/93GLo1TkSd0/ph/OvGvb5eH9/151s/48NanyDl4d2X5f3SOAeeu1beH+R23I5PU57H0Mb29oX0aIC6fssLrt4i8SOr1/z69yHfD/vER0Ceulf7k53rweMiN3d5wHzCeotySl1eRaiBrVweX3HO1BXnzIK35H1a75fZxjlz5ysr1F/EhZxfaXjXa6DG9hmBH7YsxOyXb/Dd98U9SZ0zi9P86stlpLqHY963T6rv8QuvGIWPXjGW8e2K4O1Lld8LV0+vhUcWTMXkO/R1/PCrmPdOf6SMewIv/CL/tMasL/jjJUxYPxw/iOWMF/e7ET3Fj7CZKZgyNhUXjRPfa4OaoW61Bug64jFMHl0TiyJa48Z7h6BrVTF/Qhc88t1P2PjlWLUfzlf3gQl4Vf+sEfg99u3vBbhjtlgvcd+8sP9AjBfbfiPW4oW5awK2Q4Y+n3T2EH1/N+7zlzXOxCL0wuQXhhj3+zDWo9pZQ8T8g9BNtNrkgqt1e3o71HLkQuViTe9CyqtP4LFf+9uuM9Hua2+L66wWPr7uaXy8y7e+8lPeE8v3fUOlUqlUKpVKpVKpVCrVpyISqmKt5fWiKQNbzpc3ys3J9Ga+Zv12wOcz8Olq+fsvPa98NqzOS3r174pEUabycfXQui3QoXdXNNT1vM5k1GoK/LIny/BqXt9ypbcvx6pjzl+1LppXWY5pU39GmkuXmcuzTT7v37aVt62rUb8Rmp0JpKVnqZGosr59veRU1vabbRtezNuxJ3o1j7LyDZqeLgq7octZCVb9xDpyKNUepMmnggq/48dZWNLjYpzXxNZeXAu07bgHa/46oHxp+yexdj3U/PVjfLZ4N1zyfcAyb98/cQm+45ObhbS9hUgUxygtt8DIe10o2A00rJOgvZhOaYSO2ICd8omM3gKkfj8TuKIfusTpvJjQpIWosxhrN2tvzmvmw/QGZly6lpZzOvTvWY9UJXtWpeLb75dgzsIlfpqyar+uEX57dnXlrAV6NEdrOdLNLD+1ObpjLVI2GC+9K089O1Y9rRdf1QviurN8cruOOB8HkJGhR3yI8vIsJ1AlX4wcgJr1zkKNumdZesss33xJDWoGzNcQbToJmb4JW3X51nmf4Qt0xfhHBvmtr0O/h9bh2Ik5H8wD7h2Oy+SITKu9GHTr2wuYuRbrXPZyfzUxfAzizgDW/bQM6/WfoajyyNDzNzuzlzjRv8YyOZxS4Mhag59nDkf34R0x+I8lSNVD8h27U8V5UhOXd21jeDF/bJ2aSPZrLwat2/UH9q3FenHRSeLO64/7z1iLj79XbyE16rlSsWg6cOO/e6Ge3/yB2gkXq5FEphf7t6vUIWJe2ZlnltdGM/kHHAeyUKDnL/h5Hh77A7jvxv7++z2xI24cKffrZ5izyVYuP+4Ygfu7GO+3M8p34tsPjWMzWPZICoxy37FZb/7lidlOgJp/VhHoA8tD1u8xCMPOiLHVkyNKRbAvSz2ONnB+qbFndsUdWIbvVx3Q5eJ8/6o2ul/aH93PmIbvfy+wypeJ43BZj7YBx7GkmpTIyw+xjsPb2/dbc3TS6+gKrB+gJiXKxbG472z7dms1xPLG9XUjRl5uPx/EedejFy7CPKRu8N0PJGXfN/T12OdejL+yoVVPqXznomF1eTSS5Z8Giettsb51qvJSrjep4Vw3Zv1wjr/rp3kYK8/1sTeiW6KqputXRbIxAF0UaAlQ6zqR84rv8cC81C1zjXvYHeKeEGfPN+6PkaNrInXcPCwLuA5KLM8Qy4d/3Kqibh1bO1IbN1cdPh9v2GGVu3KNe30b/X5hVd7cuNf/vN68DnzthNofvvJw78vRSNLnwKJ9tnrW/V1rlP36KEPFh1Nucz0nHA2ccNYyRsSOulR8dx/y4voXvPjvTLcaDbtghQcvzfTgxheB9Bxg5CCjoYjWEXBUdyCilX79fGnLqwA1Mb35vTdSnDO++7fQJsY5s3L8PKTYvtdMAtsN53u+pFZFvbrK+sqb6HPmrx2G1+WSAeJ7qJlt/qS2xjLS0837pK0dpfp7oc9w3NjD/7g2u3w4HqmzFmO/SlVPOzDLIfbFo2MG+S0HOVniR2Wgeyv7fUbeC8QPEZPF+aW8UZ7c0PgbRF+9hmitf9bYorwqNk7fCwdhgP37qkYbdBP3jL3ifwbM70ezfqjrwLF9FkbfNA+XvTsWNzb3lZdrPaRa9UJoQSpmjhPXbrDrbPhwdS94d+5OX7n8OILvGyqVSqVSqVQqlUqlUqmacCuHUhO/8kIUyl9YRor/b7fKDTF9wyHPYeaoBMy6ZQDO6T8Gb363EVluX97Cmj8RsfIXspY31ZBQvtTlxHTGqE+eQ6+t43FOlwG49f9m4Jc0s50jVTHtOohsu1dqBGVufxkaEx+ttETeRPi0PX8DPz2Dczqci1bWdCke+Ako8Bj1S1uPmK73YsYr3bDp8SvRvu8IjJu6HAf0fGp57oNY++lLuLV/H/Qd/hgmfb4cO9ONtLE+jdHmomjMW7gcBXr9CpYtxWdVOqN5I+mzkbYbODB1hG395DQC/xXnEMqxP0KqIJyqpeWcXq/H12ur9HC80WC30c9j/qz3xPS+mhYofQ8fju4oskHmV73Cge2Z5b76dep0FQd7I9bl2+pv3IifURMdG1c3vJjq6nprVT09v1WvhtWeTCksL9UsClifmGjVWbLlgPnXBeGvj/jw5ZU3lnHZ69/gwJ5fcVBMUuU0eZB9/bxIX78YUx55FH179UFE3Bno+5wxL3R+795lwnRF62YB62stLw17FwId9qXg9Ren4AUxvaj0XbwwQ3Zi7sBe+c5Wv/UzvVqSzbfGiFdGofXCR9Gu/QBcPXEWUna6ApYXsPzTO2JwnQP4fuV25fN/S8GkPq3RsllTdLtkGeb8rh6ejvx1a/AFBqHr6f7z5+9MxccvjsOQCwegQVxLnDpynlwhKy/X6bI7eiH15cVIUd4L17IUTNl3OS7qnqi8+BD/Ba6f3Di7N/LmsTH3r1FWA3Wb62JdP/2A/MV7P3RsKW5Sqp6vftOW8jxfhi3qLzKMNlWzNaoiRnmzfhr2iGPTUR0bOYrcdnxmrBEz7MAecWx89c32DFVtWr609deqym31jRKfVxqN2ARRtnA/9ipvq2/6qm3QbTDw8e9/GyMXN67BnD+6oEOL1uh2MTD9l7VGfXEtfL+vKwZ0qmGb31ykrT2rLMjyjJTPq7y5juLcDqwf4PXMljeL1HtplbfXF6HMqSKjvrq+ztiP7ycFHJ8Xv1aPHPXdD4yG/dsTGhOj7xuZhtfXI7o3U6PC/OurJmw+ERfe+ypuPPgGBjbpg4F3f4Q56/W7hc325UxBfP7OFZge9Lqx1TeWFjB/yeOfYTvX/eZXsWpBaPD18V0nxl9aBeblZNzDuoh7WGA+Gq3aymtJXAd7zfpyYQIVm/XVf4Yqbz9utvud0ln6uJnHQ9QvysTauZ9i9G3XoUe7lohIvg4TA9oz7/XyO0V6tX76Xt9JfKf4tkfOKOf1bZ8sVLEqN/1+de3L+/Ikv/UT66vvy/Lal+fARQHnwLfiHLDvP/GBOg3ks01kaLYfuHyfd0SJ+2KhA86akYhsGyG+/cVPAEVeNKnqxJT7HOh5OrBiowPPferEi5878McmcQQ7ezH5HvHDVKzxU4OzthMRrSNFOxGiPfnXaKGXd+ReLdLm7d97gfWj0do6Z0LPr1SXGV7PX+J6Dcib3nbOnBNwzvjqywK71/NbyzD+QrBEXn8voHtzY+SoPR/THG16iNym/dht1RcTEpEU7/OqfvWaqrP553U7DK/KXVi3egUwuEGJ+4/8WePdoD9r6PZkVeVlkX19YxBbTZRvSzOeIKHLzbqGt9ffgXfvfgBfDH4ezw5tUCKfodbjkYD18LWrQlVkev/5ZdbyB9JUR+5l7ZuVvN83MzrRF+2UI+F1fdmuwK+9cnzf0NPT09PT09PT09PT09P/073x/9Vykv4wVbUiCCx3/YmU2UCXrqehhi43K1v1nAlofcVYvP/DHLz/SDuseeYGDPi/pcg083qWEsuze6WysBRf1nIadsVtb8zByjnPon/0PNzfb7jfO2n91Gg4aHlgfaOyvTzAl7VedjVmDChXzfmX+4qUV1w0Ab+k/oB1K8Vk01cukX1iol4Z69Gg50i8Mn8hfnixH2LmjME5l0/FmmLZfgGWPX0lbp1TAyP+txDzv/gvHrv/WvSSv+QSGOuZiHPvGIkGH43B4LtfxH8fHYGLR/+J4a+PxNnRvu1oc+eUEusn9bYOZjuHp3pFxH/hXR/22O7VO2SNXltRKPUwvcLmy85bRSXqS+y+2ZWjML7xm7hl1GdYuS8bmduX4amH/ovUYQ9h2NmyrlG/qa53q6y3PwsZst6Dul6XMNbXKPJ5nVccxvqY9e1ekVANyUmJSEqqiuRqiSIWGmfW34nvHrgKNS98DykNe+G5qTORm78eP47V8wrU+pttCUIuT8bB8k274rmJvdAkUfvAvPyQ2Hxcl9uwYOOP+PGZgcDMp3FOiz7o++AS9Q7XYPM7HK3QbRiwaOFK7BN+/bpl6HhBGzRDQ7Q+pw2++HkNMkT5yl9nAYPboo21/QVY+dptOLXFA/i8oCNG/vd9bMpej11T+8k1srUvjvc5/XDRvmmYs1SOOPIiNeUz7L22F3rXNPL+6+PzksC8lRDY65uUNb+9vstlrI9V35aXXtWX5TKWk/RmvolxbJomBm9feTWjf94oNAisrwicX95STS9V5xU275+viW7yUdTTV2Kl8Bkb1mHRLV3RKQ5o3XkY9n6Vqt7BuG/FEiyq0wWtTw2YX8Z2L02At/JGKmh9RWD9AB90+zTB6ku1e6PAwL9+Q/Se+CAGNI3W3qwTxvI0/u0ZXmHzjiZ9MXn1r9j45Q1ouv09DOp4Nk69ehpWyveqynyJ5bmQqq6b0Zgpr5uX9XXzvr5u7PVVSeD8hlcE+GDLs+oKgq+Pzlk+vOX58jKRDZd8/6eZ1wS2Z5/fokR7DYzj1sQYFezYvgR39T0b/V5KRdOLx+Cjn1bCnT8D49W8sr4xf7Mr7rG+U1LFd0rmNvNe/yCGdlFVdPuh109OgdefUaZjqTIv78sT5LWvfZN+mPyn7xwYKM6BFldPx8pcndfzS/yWZ7YX4Iv/+g2ejU54Djng3iQKi7zw7HfAsw2oEgvc+S8nPhjjxJwJDjW9N9qJWwdEIDZL1JePZvDI+hCxE940BwqXLC11eRXhJYFeEbK+OGfcdu+f10V+3sprAutbXpwzd6tzZqU6Zz78aRXceR/rc8a/vsLmzfYUNh+Ylz5kXpJrjK61txc4vyOuK+6YOhCp//k/jJ23E5lZB7Dy02fw2HMNMf7ufurpEUZ98bPG/UPVzxrLGvbEcx+InzXy1umfNQKWL4vs3rY8id/yVUHA/MJveW88bl01EB9NHIhmfnnjZ54aaj3EzzxyPfLN9ZAVjPnN+oHeaF8m7F7kNYHrq7xMuFzqnbyWl7GcpNf1LUosj56enp6enp6enp6enp6e3u4VZnC4ahJQvumzd/BmXjcM6dPYKCitfkQimp93LV559ioc+HYxVsr3hoaqb2Kf305p9UpbjtCY+u1w+dgJePCsbZj9099WuZ+aHG65ib1eGevlR1nlJto3a9cPWLIc6+RoZUng/HYtbT0io1Gz42CMeele9NsyG79sEmUFy7Hk00IMueNadEg2qln1TRyF+GXa66j65EeY/uhg9Lv5Scz+YQpu72iO7q2BZp3qYe3SP7FTjYY1iitMJSKWtuzrI3ROPpVZ985qPUyvCJmXH1ID8jJUHwH1jdDn42ugyakN0cqVitEXD8CZ176JLd2fw/I3L1bvoLTmt9cboOv10PXs7anKhpreKlIf2pt5id2Huz5mfZtX2HxgPn3Oexg4qSreXvAeJo/oiw6NExErk0ZF+aHqxca3FsF+pGca3pzfqCZ9DGLPAFLrdMEdo6433rkm9V6toy5Ht6oll296hc2rooga6Hrl7fjotx/w9ztdse7V2/DiHHE1mXm/+jHo2GOY8QjO/B1YMTcNg89urfIdz+6Hum+nYp13B9b+fADn92mPOub8f0zHLWPWYNis2fjsoYtxXsuaiI3Q7csq6kP7Zv1x47UHMGWhfNfkSix66wDuuKQrksy8VHt90xuhX14H8sMo13kDn49JkM9q3Ynd8gnTsp5KG/mMNPl82ZpITpIjCkvmfT4aMfrYjLCOh/34XI6uVe31A+aX+LUnPo1Afhjl9rz89PMa01v1pZEaML/NN+ncEx33LcPajQVI/WkaLuvRRu3vau074rI/VmDdtgKsWzkfGNYBHQPnl6H68LWnsHkrL1V8Wl7nDYRqH5g3vPyQGpA3Mb09H6Dq+vqjFs4fEez4XI8bzkr01Tdm8W/HTEiUjwHqiHhvFjLMvFSdV9i8kU9Ek/7D8OoX83FgwT2oO3M8bn5vnS1vq78q4Lo5TV83Mm9U8dU3sc+v8tJI1T5CPr5zpx6xqct1Xgfyw1fflo+J19fJweB56Y17WBoy1HsI/PN79sr3jtdEkhyhputbmF5qgI9N0Mftdv/jZR6/G86Wxy0Lc164DZOSnlTv3rxjUGs0qSq2NUh73oSaaGr/TrnuLXWv//3NgWgaWN/E9GZeYvmA+3KJ61/fl636iWgqzoFXxDlwUJwDdcQ5cMsUORJd58++He6PLvbdP4UoDeK9BblGuSxyOeD+2yFUxG6hufLHgeB4s43HE3t2OuDZa9RT7Tii4Sk0n5RgFNqXVxFeYfPq+MrvvQxdbsub50yyGjFqlCt0XqlR4u/NvInp/fLZ+FafMz9+Ox4jxDnTtKq4z8u8JKC+wm9+QxU27583vhewJxPpJfJp2LNRxHWqIs6qL5NSTe+rX7dxczQVPzvs/WA0zmx/HUZ/FYORv7+Nh8/W57momPHNFAx8oyomi5813h7RDx0bJYqzU84vP6T62iuhMjC9+PT3AruXuuo9XDNyDYY+cw+GNvKvr9ZD/Mzjtx4qL2eW6l8/pJeh+hA+virkW0627DOexKHyUmU+I1M90rluUlW9vbpcfFrz6/oGQrUPzNPT09PT09PT09PT09PT02uvQhGp8sNU1VIBMtOzkCWmtM3L8fm4G3H989tw+ZOjcHEtW32F6Q9i/rhnMFu+a1Hnd27ZCtRvgpoJwepL1UUCa/lWma2eqmj60pfjSv0A//fWcqQV6/pZu7FpF9DhlDpWfZ9WR4NTo4EVq7FR1tfvVJV5g4D6uszn9aR8GNuvy5Xqef3K/drTaiuTU+L5V2FMnZl44OGZ2JSl6xVnYW3qVhTI+qWuRwFS3xqH91IOGvOJKWvbVuxCOzSrJ3x0AqpWAdau32rkiw9i2aT/wzM/qTXQ7WUjbUchMvMKEFO9EVo3qY4Y/X5aI+9Fm8EjMWzjSxj9XIrvOLh2Y+Ufu/3qHY4qpDdVBiF8aTmnQ4runTX08LyiHPk43bG196C9fgGWLVwiI+3lf17s/eJlXJNzD16d+iQW/L4UG5e8h8n3dkXdKCNv1IOud7eu94Ou10XX87VnGH/vK7Kvj/Ym2oe7PmZ9u1fYfGB+/arpIuiINvJRuVa+ABnGK2YFRv2OvQaJWtMxaeYOXU9g1Zf/tcb5V7UGpn+OL7YHy5fuFaXkmw0bjhtF0Z4c+cK+knnpkzp0xGWYhZT567Bo4SB0a6/z7TtgGJYgZelmrFzYGgPObKjqy49961ORKrasU6sY3Y7RXkam/DMKnzfqJ2LA0NuA55Zi2a+pmLlvGAb0SLDl5X/2+lqNUHsj78O/vonpk7t0Edu9Dh9/tVK9V87X/k58O10cuzNuwEWdffVLqqzfGr3/bRybL7cFrl8Y3sSWNzoqAq+nnVg8Tz6oVVPK/EZ9VernSyz/jA4YXGcZFq1aipTpXTGgcw2jvEEHDOgzHylrxPFbCNzRoy3kU0795ldNlFze2l0HLB9OfQtVHrB+2isC84rg9QO9cX3NwpSvQ11fpjfw+VDLa4Zu19YEJs/DokM6b9bPzYLsX7K8Un+f3H0gRl4CrAxxvfmuG9vIXfGRkSm+AI1Ql4v6JqZXaniF9nU7dMVF4lyf/v06K2/UL3k/8s/L66Sruk5e/N8yfZ3456XveJ5xD3t3zk7/fO5KzJy2Dri2P3rLnkZd3yBwef7asddAfdx26vLA+tJvwsrJwndtLo6KLS+Ow16rnqH7Zr6Mq+W9/n1xr18uvlMWT8Hk+7qiXqRZT8+fYHQAbd21X5cb+YJfl2GOjCWqvFXAfTnY+gX3ST0G4k5xDqTKUZJmvtiFjCybL2X+os2rZamFt1hkdUes+HkmOEXiB4U8I/TIRxrY8BzYBW/OQat9Q8PfHj9/cBk+Xprt8yK9d5t8hLP4/pZPPND1jeM7HVO+CTi+OeY50w/n11VF+sNQ09uKtLetjyLE+mETUuU506UZmtrzOUbnnsJWP9CrIr9yU+15/b0w+TN8t80/L9/JPP0P4MZLxP6w6ssPQ01v1F+Hl/79Ms5/6hVM/mg6Nm6djQUfjcHQtok6b9Rf94fxs4b5JAOjXJxP8o8oLG9fv2DewOdF3sT0cn3ufhZbhj2I8Vc20OW+vP96mO2Le4zfevg0ZXuazdvWRxVpX60jel8r7pfT5iJFjig3kiq/Zc5nmCR+Prr/wta++mpuI295s9BElfvn6enp6enp6enp6enp6enptTdC9Xlk+gVuP/9idBFTz6vHYVZGZ4ydMQNPXlw/oJ6J8O4oNGsfjVm3X4zWHXuijZj6TSrCY8/+G22C1deRSch2tRqUvZzY+m3RfO14DD6zp5HvOQapXSfght6JxvxmO1o7XjkKAze9jkGy/pnj8YP6/ZxteX5q4is3ED6s7S9bDUopj2iBG6a+gRGYiut7GstpfeZVeHnOX0grEPlS1yMGp5zRBGv/c6Uxn5i63L8CXZ69Bb3k7sHpGPj4QBS8cY2R7zkaSxs8iAnXmWsg16c6+l09GFsmXoMOYp+Z7bTpcSlum/gDdslRsUm98NiMx9BxzXj0NI9D7xGY9ushmL1LgdsXrpoSzvVQWk72IUP28nqhn2d8mF4RMq+SNu9FtZat1C/7X3hlOlK2ZiF93xpMH3MbHlteFR1U7YD5f1mMOb/sQHqmqJshpsxMpGebefkp68t6S3Q9kVf1xKTqBa6PXF3TG6rKLG/WNzmc9SnpFaXkW7UfKirMw8w525Ff5EX+vrWYft/1uHlmTWNes/4ZgzHulpr4duQY3DU1FZvV9u7A9y/djYHPrkW+aK/DzY9hXOPZuPra8Zj+x36jvcw0pH71Jl5fkh90+YbXS9I+/5c30eP0u/DC4h3Il3+tUZSF1Pc+whRxpLq1ku9RlLWCbE/99riozwF8//Y0fDy4NVrF6HxMG5x/yzrMeW4KJtXph26n6/pivjqtOohW5+PzOWuQni/XV2zTs7dh0EQ5PKjk8Ynp1Q/3nfEeHrh7FlLv7Yfzqvnn1b8Ab7Tjn/dheDNvlZn1a/TFw+8PxJ6n7sKQZ5eJ/S6O/d5NmPmf0bh6ZgeMe2UoOtjmVy34efFPaIdb/s84NteJY7MqTexXD/IzxLH5Whybxa4S9f28Wif/fKszeqIuPsfzr8zH2r1inbal4IXht2FaRhtV26++8sZ86p9SjyxS5aJA+cC8oa3QdRjw8XvT8L18/2dzM18fHfu3xqQ33sScP8QxbR8fML+1VF971WuidR1g0TcpWJuTj3y53lbequ2rL9RHqPWTXubN7ZBefoq8ms/m/fIyZfNnXIVXH2uIj68X19f/1mJPjqifn4U9f8zHhEnL1PVlzm+0GtieUe5bXhTOu/wGdBXH6M5b38T32+T1moa1897EwMvfEHdCWdWYz7t1Fq4+/XqMFstNd8n5Xdgz7zO89nVN3NG+mW7Pf3m+60bMo66b7fq6kc98CFg/XWKfX+aNhPjQ3tusH+4Q95jUR8bhrk/WYI+8z21LxbvB7keB21+jD+54pgP2vjRaXCdLsHafsb2pnzyLgbfNwx5Z//ShYh93wBc3jfZr//V77sLEfRfjw4f7opq9fbk4l2hHvrvbWp4gX5S5tD9DtimPm2hTHTdRpo7bPH3chPc2E9efmO/LeZizTVxrRWL//jELd138KGbKUczm8pSKJcjvlF+3+75PpMrzQeeVVmuCDv2B1Fem4HX1vbAfqf8T2/qfVCTJUY+29vzvy+LaV/dlUV/dl8X6yHrbxDnQTpwDnxjHU9TAnrn6HDhDdiPL9nbg3SEdUaPuULzwR8D62JZn+tgBtyAiWW5gSbwHxU8EHrU3/fDI8hDEDrwdzur1Qi4vfO9C6pSXxb3wLoz+QHyXif27eckbuHnMfKD/xThPvmPYrK+OrzhnbtbHVx6PreKcGSXPmYHGOWO1b6xn4PJUWYn1Mbfd9IH5psY585U4Z7aKY1Qsjscqcc4M/D/jnPGrL725XOnlp5HXCcsH5tX3wtnzxb4Yp74X5Pm2+ZdpuHn4m9gz7Fk8fIl8b69ZXzXmN7/6pxT4/rt54rrT56v+ecg4/2XeI74zxI1c/qzxjfxeF98/e8XPGvffgJs/l9e2aCGgPX9vLk8lbN4sM704ts+Ow+hfm2FYz5rYsmQZvl8spiUpStcelN9d9vUQZ7paD3GP8VsP2V4N1BHX2N7ZS/D9QfF9Ie4n6fL61suVqEj5eFz68LMYuu8tDLnOdr/9WpxnN81H18f+DyPUzx1mfWtu7Y3192HbPluenp6enp6enp6enp6enp7e8BIRGt6ayudrDHoWa1csFdMSQ3/8Eu89fwf6nqZ/H2Kr3/4ekb+nneGdCWg2aBTe/H4pUr//Br98Px9rv38JQ9vIp1jK+m1xm2jvtvb25VXHxa8uxcuD5LtP/cvW3tNWe4h1egZrX73YeHetM1EvZ4lezgK9nCijfq1OuP6lL7A0ZbbIiXzKArz3f+eigR7FKdvzLUtM9Qbi2SULRF1RP+UxnJsg83Jdl4h19a+vtvfVgfodunJfyfXSvsztNyejPd822dan/R1in49Ee9OrspGi7Bk1MtkoE/UT2mKo2ka5nG+Q+ts3ePPhvmgg3+Faxv6p0eUaPPvdAqQuNfZP6pJ3MbpvXWt5DfqOwXt6f6jcoMY4V2z3y4OSjTqu1Xjv2b8w9BNxfvxoLF9OS9++CtGfPoppKYVGvYZ9MXrqN1ad1CVf4Nkb20K+IdJcljGVzxvnuIiDnP8lfCk59SxCs9fW/NVr+b0/weobaqDyzQfi1XcuR9z0J3FO6y6o2XQUZjYZg09fGIimAfPXG3wbXm3+De4+rz9q1usqJlFfau02aHjRc/hum1G/3uDb8Uqp9Yz2gq6PjiWB629i+nDXx6xfsr3Q+aQB12P2iBi8OOQCJFRtg4SuzyG1y3j8+LLxLkiJUT8RA17+Bj9OqIlvbx+GFmo9+uOaaTEY0KsB4mS9hA545PNpeK7JMozu2stor14vDBy3EQWQo5EMAtdPekMN4joNxpM3xuC96/uLNtoismoXnDnuAIbNeBb3nRF8fsM3RKf+rbFo4S/qscRyBJnEgQR06tFXlatH29rnP2Mo3nmmJ1LuGYKa1eX63oRJkdfjx89vEPUM/JfXGoPv6ImVf6Thkf4dEFsiX9IH2/92StY3YtM3u3IcFrw/EK5JNxj7velAXDGzJp5b8BYeOTsmyPxB1kccm0c/n45nm/wijk1PtV8T6vUUx2aTODZZJesrNSipXsT1ugEfPdwFW5+7B6c3FefjeW9h75VvYtYY488bjHoGweY3Y4Mg66tUEiOO3VBAHLtF4tjJ1s18xy79UVeW9zkX3YyBUIrA9q32YrvghhfkPWAMTq/dCQlN78bMTaXUN6wg+PVr93aC5YN5E8PHoNvDb4nrqwEWPXg5GtYW5331Lmj4r5exzuVFpny3qa4vKbs9oWfcgNkLRqPbhpfRr7W8Xnui30tZuGn2sxhpVFU4GvfEo4+1xrrxl4trQCy3Skc0vPQb1HvhLYwbYIxyK7G8oNfNDfhBXTeB9QPVf319xz8RF014Dx/dFYOZ1w9BQ3mfa/0gvj31/7BggjzyBkHXR2jHu97Dn+o6uV2ck8b2njl+M1oPaAX5KgC5j7s+/KZxD7PaH46Juwbio+/GY5j1WgjZXmv0frgh8NwI3DJzh2rfV3a7KNOjbNVxk20GO25AhjpuCRhw3xu4I/Y9DGrdSdzPOuLMB9ei+6TpePUS2YZve+qK75RXm88W9/oLfPd5qaJdea//VnynGOvXEMNfeBY3JpjfC71wxdcN8NyMRzH8VNmm0Z7ShPbi2g92X94El7ovi/bUOdBGnAPG8Yys0kmfA29i/IAE1ZbZntzmuEhb+7b1l5jes20N3On7jMIAvLI/3nz/g42QI2cFRSvmKw21vPB9NDqOfhMLbo3BF7cPF/fULmhx0StIbXUb5r97uRrF7KtvHl95zojjK49H62HWOTNUnDNlLU8SLG8SfH7xfXvfm+KceV+cMx3FOdNJnDPr0G3SNLymzhn/+oYalFx+sPa1V98L4txo+AOuEd8L8nxrcd6b4l7+LBb8V/5sVLK9kr4VRr4+FMvUd4E+X/V5m1DlAlzxxlr17tRk8bPGLPWzhvG9ntD12RI/a0jM9k1Kbo8R+5Zv13X49j/yzeKb8eLtN6DfRTeKyadfiPt98oDr9M88gevRX7Xg218NMeyRu3H+NnH/PEV8X4j7ycRf5OjwEOvXeCAmf/cshuVOs+63p18lrqEJ0/DNwx3Uz0iSsrev7O8benp6A3p6enp6A3p6enp6A/p/lrdQBeLDV9H4OEo+JjkRiUnGkzcVAfmK8sZyjCcVlsjHVEWizMt3JQXL231ktGhH1JedGpLAfDn90dp+xMrlJCJGPkUwSL60/ROTYOyfmAjD++X1/jDaFdjz65bg5Wr90PNUYeKN5ct2arY8Dc0RXbK9KkY+JkJ7iT2vw/J4X3FZ10cpueLc1aJEWvlLJ6FeodIHamXl87OQUSg0JgFJ8hmnQeZf+eZNuGL5YMx7sx+Scwqsctf2+Rj9r7H4+JI3cODlc7H1DVHvd1HvrVLq/fdcJAW0r7Qc66/WJ3A5Iu/aVspyyrl/XBlZcAmNrZqA2CB5P3UXIiNX/oo1BklV5YkepF6O2M9u6aOQlCSu8MB8WOsnlpNhbK+1XuWavxz5bLG+HrGcKmI5UUHyNt376Sg0fLAZ5q+7B+fLl88F5JVW9PopNfeH2O/VxH4/3PZzc8SxkflSjl+46xe438o7/7HIF4jtLxAqvqySjurxCzNvXV9Bzvtw5i+Rt5035vEOMb91H4gXy40smbfUnL+yjr++f5RoN6z5xfZmlnF/ko/ezS0SvvT7k9ofkeI8ifflXVk5cEWI748EW32p8rjp+3NsNbHeJdav7Ot35aQbccWKy8V3Tx8kq/Uzyl1b52H0pfJeP0l89/RCkrX98hHCQbYj1P7RxwsQ9asF2W6havvE/LHxVdV7gf3yRWJ5eY6w7j/e4kIU/vA5ilYuUnEgEad54JDfwTbcm8WcOf5lkoh6zRHTZxgi6ja32i9r+WHlzZ8Hwtl/1vE9wvtvufLlPL5HkpffC/JdF7HifI8Nkg81/6EfcPd5b6Luu+/hkdYF+vyS+SykvDAGg54vxLMpn+K+9kZ96/yqJs6vcNqvpLwrU6yH8LHih+4S62Gf3zzu9vtAGe27MsV9Q+QP7/7FPPPMM88888wzzzzzzDPPPPPMl5Xfl1UHyUnq2bOEVA77v8E9F/4PtR5/DLf3boyacUD27r8x791n8ErmvzHt+YvRUHbKVhLpGdmoU21/0PO/xPUhCZFzuPNWy1Jf4fGmrmUYXf0mxC5YjfHdA/MH8fHVvXB17MvY9VoCXgin3jt9UDfYcsLVcNfnSJdDDVN3YsqlF2BSr0/x+73y8bzhzkelUqmlqOtXca+/Udzr14h7fWA+TdzrzxP3+v+Ke30/ca8PMv9xqu4DO+H66jW4D6k35iociV5EyOGXAXhzRf1N6kEaCof4ASK6+6WI6f4v6cQU/nJD6VvvfII77h4nYnIkuPPWiE8vtrx3E06dOxgbZxhPG/Hb37++hYjzpmP8j4vxSCcHIqq0FeUkHMY+egf+I6ZQ5zGVSqVSqVQqlUqlUqn/ZN2bWQdJ1RLgdDiF85XLN3DS01eUL9zxCz5/ewbm/7YavxTWQ5dWp6HnJf/G5f1OQ2JExS/P9LJfNSMzC3WrpalyMx9aJcFzjuLcP80axynrMLHZlZh5wztY8FgXJOlSScbPb2Ngv4/R6dOv8cqAnWHWO9K/1Ah3ffgXIZWJKzMbLlcaFk0aiys+bIBPf3gGlzXQSUIIOWJO3nu9112MotT5cG9dh4hmbRDZuD7cmZuB/DR4XJlwRMbCEZcMR0JDOBw1Rd2fxVwORHW5CBE1KvZGKztkR94zXjtyuIif5ZTunfkgGl5TiLfXvoQb9WO/FcW78PHtV+OaTdfj90XXqcfNR8afbuRImYx9ZITqlCWEEEIIIYQQQkhJDuTUQnx8NUQ4jQ4soyPL7IKipz+xvXzdW05uJmomyA7ZI0N1yKrRs9KIyRxFezz5zKWvYsj1b2NdjS4Y0P9ctI7bhZ8XLsUX2xrivv8+gef+1UDVz1xiq3eBqBdrq/eyqHeJqBek/cpan3Dboy+vL8D3j56Jfi+JguZ98eq0pzHiDPnu1nDnp6enpy/bp4vvlCts3ymtYnYh5Xvfd8qzgxpU6PLo6Y/YF+zC9FE34ZoPgK6De6J35wZwbfgB3879Ba4ej+DT14eiQ7VS5qenp6enp6enp6enp6enp6cvp8/IS0JkVDKioyN95QFqwjzzJ1q+qLAYxUXpSI7PCOt6kEGonKM49w/pNarYCBXHkS/OxroV67DXZVgkNUC3Ng0RGxlQvzgrSL0Gop40R7B8hc2Huz4VtTwFveWLC9Q7J413Q5pUYPsKenp6H/9QH/ReL79TKqh9C3r6ivOuXeuRsilLuxjUbdsarWvId+2aVOzy6Onp6X3Q09P7oKen90FPT++Dnv7k8/lFcWJKRnx8vJE2q1GpJ4Hm5uUiLipdTPIXxDJhYlY0sfvgOdUhq3ppRY5KpVKpVCqVSqVSqVQqlUqlUqlUKpVKDVf3Z9dBlbgEREY6rc4nKvVE1+LiYuTn56Jmwr6wrgOpkpB1inNX6SqEEEIIIYQQQgghhBBCCCGEhI8cJZtXmIwqVarA4ZCdsrLbyUGlnrAqO1Dz8nJRJVqOjs0XZUeOvDIIIYQQQgghhBBCCCGEEEIIKTeywyoqIg/5+fnwqmGCslNLQqWeeCpP4fz8PHVOV1RnrMRRnLPSay1LYr9WJPT09D7o6el90NPT+6Cnp/dBT0/vg56e3gc9Pb0Penp6H/Qnlc/KT0aRpwpiYmIRGRFhpanUE0U9bjdcBS7VGVs1Jt1ImJgVTUrzQXJOe4EK6S3ozQ8DevPDgN78MKA3PwzozQ8DevPDgN78MKA3PwzozQ8DevPDgN78MKA3PwzozQ8DevPDgN78MKA3PwzozQ8DevPDgN78MKA3PwzozQ8DevPDgN78MPgn+Kpx6eoRr/muPOTl56G4qBge2TFlvkhTIsSY11FCFcwzr/To5NXpKU7SomK3GhWbJ85deQ5Xi/XvjDXmUaGiNB8q5yjOSZXLI4QQQgghhBBCCCGEEEIIIeSIyS+qgoKiOBR7o+D2RIgSWw8VIccNXkQ43Yh0FCEmKh9xUXm6vOJxFOcGdMhKV9p1wTzzzIeGeeaZDw3zzDMfGuaZZz40zDPPfGiYZ5750DDPPPOhYZ555kPDPPPMh4b5w8+LnKM4Z4WsQgghhBBCCCGEEEIIIYQQQgghpIJxqk+zx5ZKpVKpVCqVSqVSqVQqlUqlUqlUKpVKpVKp5VNJiJyjKGe5V8bmSFoqlUqlUqlUKpVKpVKpVCqVSqVSqVQqlUqlhq+SkHWKc5abdQghhBBCCCGEEEIIIYQQQgghhFQgjqLs370O2T2r8XpFIb0FPT29NgJ6enptBPT09NoI6OnptRHQ09NrI6Cnp9dGQE9Pr42Anp5eGwE9Pb02gpPJB80V5/wuhBBCCCGEEEIIIYQQQgghhBBCSEXjKMr+je+QpVKpVCqVSqVSqVQqlUqlUqlUKpVKpVKp1MNUScg6xTm/mXUIIYQQQgghhBBCCCGEEEIIIYRUII6i7F85QpZKpVKpVCqVSqVSqVQqlUqlUqlUKpVKpVIPUyWhck4ZSEelUqlUKpVKpVKpVCqVSqVSqVQqlUqlUqnU8muwMlMjHnvkpsel9/XdUqlUKpVKpVKpVCqVSqVSqVQqlUqlUqlUKjV8DZ1TI2Q5ceLEiRMnTpw4ceLEiRMnTpw4ceLEiRMnTpw4ceLEiVPFT7YRshqv18iU6L3VMM888zJQlnnm/WCeeeZloCzzzPvBPPPMy0BZ5pn3g3nmmZeBsswz7wfzzDMvA2WZZ94P5plnXgbKHr95Scmcozg7RdeQSSqVSqVSqVQqlUqlUqlUKpVKpVKpVCqVSqWWTyXBcw6vQESEEEIIIYQQQgghhBBCCCGEEEIqGKdWQgghhBBCCCGEEEIIIYQQQgghFQw7ZAkhhBBCCCGEEEIIIYQQQgghpJJghywhhBBCCCGEEEIIIYQQQgghhFQSTvMVsuabZH0+UJUwz3wIVcI88yFUCfPMh1AlzDMfQpUwz3wIVcI88yFUCfPMh1AlzDMfQpUwz3wIVcI88yFUCfPMh1AlzDMfQpUwz3wIVcL8CZAvLecQH9oSQgghhBBCCCGEEEIIIYQQQgipSJyB3bH0OtDQ60BDrwMNvQ409DrQ0OtAQ68DDb0ONPQ60NDrQEOvAw29DjT0OtDQ60BDrwMNvQ409DrQ0OtAQ68DDb0ONPQ60NDrQEOvAw29DjT0OtDQ60BDrwPNieyD5ThClhBCCCGEEEIIIYQQQgghhBBCKgnbO2SpVCqVSqVSqVQqlUqlUqlUKpVKpVKpVCqVWl4tLccRsoQQQgghhBBCCCGEEEIIIYQQUknYRsgqsfXWKqGn16qEnl6rEnp6rUro/8G+aPFSZF95NQo+nRlWfUPpDVVCT69VCT29ViX09FqV0NNrVUJPr1UJPb1WJfT0WpXQ02tVQk+vVQl9JfjSchwhSwghhJAjIqNTd3jS0uCIjETylnW6lBBCCCGEEEIIIYQQQojE4fF4vEJE6IXD4dC9toYXBbr7lnnmmWeeeeaZZz54Pr3RaUINkrf/Ve75mWeeeeaZZ5555plnnnnmmWeeeeaZZ5555k/8vCwKnuMIWUIIIYQcEYdOaaEjoPqOv3VECCGEEEIIIYQQQgghRGJ7h6xPZRSs3FTmmWeeedMHKvPMM//PzJuEykuVEfPMmz5QmWeeeeZNH6jMM88886YPVOaZZ5550wcq88wzz7zpA5V55is1X0qOI2QJIYQQckRwhCwhhBBCCCGEEEIIIYSERr9D1kQ/+9iCnp7eBz09vQ96ep8v8Q7ZCm6fnp6e3gc9Pb0Penp6H/T09D7o6el90NPT+6A/ej54jiNkCSGEEHJEcIQsIYQQQgghhBBCCCGEhEaPkNW9tQ6hqn+Wnp6enp6enj48X2KEbAW3T09PT09PT09PT09PT09PT09PT09//HtZFDzHEbKEEEIIOSwK585H3hMT4dmxU5dwhCwhhBBCCCGEEEIIIYQEEvAOWUIIIYSQ8Mjs3AOetDTtDIx3yBJCCCGEEEIIIYQQQggxcXi8Xq8cNGtiG0TrpybMM88888wzzzzzhSm/IOfKq0XkI/aaoYibOC6s+ZlnnnkfzDPPPPPMM88888wzz7wP5plnnnnmmT9R85KQ8/qPkDWrmdDT0/ugp6f3Qf9P9/mPjoXrw4+Vixt5G2IfvF/FBhW/PHp6H/T09D7o6el90NPT+6Cnp/dBT0/vg56e3kdl+uA5vkOWEEIIIeUmo1N363HFVb/6FJGdOqiYEEIIIYQQQgghhBBCiD98hywhhBBCyk16o9N0VPZ7Y4sWL0Xeo4/Ds2OnLjm5cJ7SENHnnYvIgQMQ1a2LLiWEEEIIIYQQQgghhBADh8fj9TocxuBZNWhWBPT09PT09PT0pflDp7QQnwbVd/wdsr7r05nIf3wCvFlZqu4/FavTdtDFiO7Wpdz7m56enp6enp6enp6enp6enp6env749jIIlSvjHbKBMM8886FhnnnmQ8P8yZb3HyH7t/gsOb/rpVeRLyZSOrKzNub2WxB7zVBdEsjxd/z9YZ555kPDPPPMh4Z55pkPDfPMMx8a5plnPjTMM898aI5l3sg5PF6vV4Ymsro5m11NmGeeeeaZZ5555kuMkBVqz+e/+EqJzljZ4Rg3cZxfPZPA+U+kfPGadSj8bCYK5y44oscyx917F2Lvu7vcy5cwzzzzzDPPPPPMM8888z6YZ5555plnnnnmj0VeEnJevkOWEEIIIeWh4NOZyLv/Ie383yErH03s+u9rcL3zvi4Bos7rifjJr8MRE6NL/nnITtuiz78os9M29ubrEfvg/f/ofUUIIYQQQgghhBBCyMmGU33KBxnDIUT319LT09PT09PTB/GuD2f4dcZKzLzroxnI7N67RGdswjuTjA7GIO39U3xk29aI+8+jqPbTIjWiWHZiJwtN+nu12kcmct9lX/QvFK9YWWp79PT09PT09PT09PT09PT09PT09MeZLyXHEbKEEEIICZvMzj3gSUvTTj+GeMITQd8Xy5Gx4eEtKEDenfehcO58XWIg3y0bfUFfxIy4Bc5atXQpIYQQQgghhBBCCCHkRMPh8Xi9snPW6zU6a6lUKpVKpVJDqf3dsaGQHYmxo+5C7JWDw26XCvUe2rzHJ6jHPoeD6rA971xEDboYkV27hL0cKpVKpVKpVCqVSqVSqVQqlVrxKglZhyNkCSGEEFIaRYuXIu/Rx0t992lZGJ20dyLmisG6hARDjj7Ou/9htc/LgxxBK0fSynfQEkIIIYQQQgghhBBCji9s75ClUqlUKpVKLalH2hkrkfPnP/Ifw4S53H+iyo7VhA/fVe+YjX9nknr3bDjIjtz8cRPVo6PDWQ6VSqVSqVQqlUqlUqlUKpVKrWCVhMgdFyNk0xudpiNCCCGEHG/IHxRsP1IcEVVeeJqjZCuI4jXrUPT5Fyicu8Cvwzzu3rsQKyZCCCGEEEIIIYQQQsjxgXqHrPotq+05xkfbpzcq+310hBBCCDl2JG//u8zv81A+o0U7eAsKhBFFMTGo8tQ4RA8ZHLI+ffk8CguQc/Mdfo85Vo+IvvcuxIj9XNHLo6enp6enp6enp6enp6enp6enpw/iZVGIHEfIEkIIIaRM5CN0D5f819+C65kXtDPgO2UrFtnhnXvLSL9OWdn5nfT3n9qRYMiRxQXTZsC7Zy+cLVsgZui/4UhO0tnwcW/4G4UzPoE3PQPO9qcj+pKL4axRQ2cJIYQQQgghhBBCyD8d4x2yqpv2WCohhBBCjn/C/V7317iRtyP2wftVbGK+U7bg05nChdcONbTKztf4yZMQc+XlugwiNju7w2/nn6aefftRNGsOCr74GkXzv4c3O0eVG4Sv7g1/ofCb71Q77h9/BrKyVbkBlUqlUqlUKpVKpVKpVCr1n6GS4DndIWsOkj1WSgghhJDjn3C/10tq3MjbSnTKylGdefc/hMwe5+uO2fDbo5ZUR0w0qjz/lBrNLKe4CU+o8nDn/0eq1wNvcbHhiorgVc+TKaV+KBVteN1uEXqFepQGrUelUqlUKpVKpVKpVCqVSj2JVRI8px9ZLHtnpQgN9mDjSvbBHlmsHo1YQe3T09PT09PTh+9Dfi9XUPv5k96G6+nnRezDeLzuahGVPT89fUX54t9+Q+6d98GzZy8izmiH+NdfRkSTRmHPb/rCz79E3oRn4E07gKje56HK2IfhbNYs7Pnp6enp6enp6enp6enp6enp6U8GL4uC55xGWlcSBcfGh6DC2qc3hJ5eBeqTnp5eBeqTPsAHodT65fRxd9wadLRswaefa3Nk7dPTl8sHchjtBVJWfXoVqE96enoVqE96enoVqE96enoVqE96enoVqE96enoVqE/649ULQuT8R8geIy1zJA6VSqVSqdSjpkfzezmjRTvVGSsxRsn+qcrDnZ96nKsrHwVffYOimV+qRwLHPXQ/3Ft3oPj7RXDv2gNnYgIizj4L0QP6w1EtCYXfzEHxz7/Au28/HMlJiOzdCzEDLoSjVk3RnHzThmjX7YF7xw4ULVoK9+8r4Nm5Eyh2w5GYiIhWpyGy5zmIPLszHAmJ1np4c7JRtGAxipb+AM/mLXBERSGi/elwNm0C14uvwpOW5hsh27iRms+b54L7jz9QvHgpilaJ81K+FzYuFhEtTkXUgAsQ2bkTHMLL9SoU2xdyhGxp+8euxR4UzV8A17QZQG4uYh96AN79aWI7l8CzZRscXg8iOrRH1KABiDi9LRzRMWo+b04uCr9fDM/yVHi2bYfn4CHA41H7LLJdG0RdeIHYLy2AyCh4s7NQMO0TFM2dB0eNGoi59Qa41/0Ft9hGOZ8jqRoiz+mO6Iv6wSvWp3DOd3D/+ju8IuesXxdR/fsiqk9vcWyq+dZb7KfCZSlwL/0J7r83wSv2k6NKHJyntUB03/MReWZnIL6Krz6VSqVSqVQqlUqlUqlU6kmrkuA53SF7bAn9i19CCCGEHG2O5vdy/utvwfXMCyqOvWao7b2n5GTAm5WFgtfEMf5gGrwuF6J7noPizZvh2bsfKCoCnE7VkRrVrYuo7EXxilR40zNU560jMhKO2rUQPfwqxFw9FM7kJNXxWrxqFQqmfIDilF/hEe2rdsS8qq24WDgbNEDMdcMRPfhSOOKrwJubi4Lp/0PBVLEO+9OMPwBwOFTOUb06vLv3qOX5OmRPgbewEEVfz0Hh9Bko/mujagPyHbFiGYiJQUT9eoi+/mrEXC6WkZCAwplfBemQbar3QnjI9XK9OxUFb0xW+y2qdy/VEesW6wexPnIbZUdn5NlnIe7hBxDRqqWar+DzL1Hw6hvw7Ntn1BP7SL0LV+6/+HhEdu+KuDH3IqJ5M1Fnv7reCr78Wuwr0Vb70+HetAUesd5q+yIi4KhWFdHn9YTnUDrcf66GJyNDtQnZiX1KA0TfciNiBv9Lze/NzkHh17NR8P5HqmPc6xL71txPsbGIbN4UMTdeh+gBFwCiPiGEEEIIIYQQQsg/FTnUQCB7Z4+lhiLc+alUKpVKpVachiLc+cPXuJG3IXn736rDN27COKucepKoV/wnO+hkB6HHg6JfflMdmLHXX6M66eSoaG9GBooWLkLR94vhqFcXMSIX1b2rmN2h3u1avOQHeLbvUO15Dh5E4SczUSRHdB46pDoZY2++AbH33Y2oXufAK5bh3rgJrvc+hHv9X2qZ7rXrUTT7W3h27oJXrFLUeT0Re/vNiOx6NrwHDqrOWH8ccP+5BoXTZqiRsXIUb8wVgxE75n7EXHk5nDWqq5GosoPXvX6DGrEbnFL2SxB1SJX7Sqyz6pz+MUXFMf8egphrhsJRsya8efkoWvYLin9dbnR+SnLzVEdsRNs2iBl2FWIfGq2uK2ejU9RIW7mvipenAkXFcMjjIJYhlyhH1hanroJT7PPYO25R+0WOHJajYQvF/ir+5Vc4W5yq9m9k+zPUvO6t21EsR+zuTxPrJtZx5SoUzvhU7XNHtWqIHXoFYh8eo/aT7BwvXrcBhZ99oUZDl7X9VCqVSqVSqVQqlUqlUqknvkqC55zy9zLyt2VKpB4TX5LS69PT09PT09NXni9JxbZP/8/yPpxNGyNu9L2IGXUn4v7zKCLbtlEjYeWIVGeL5oh7ZAxi77sLMXfdAWeD+qIJLzxyBGtamog96nHDRT8vU52JsgNQPgJZ1o8deTvixo1F5FmdRXsRRr2ffoYnIxPFf/4Jt/CyrcjTT0fs6FGIuXskqjz+f+rxv3LUqYm5/oWLf0DxunVwxMYieshliHlgFOJG3IzYhx9AzGWXqNGnnh07UfR7KryufDWXnfLtH5+3ox4p/MA9iL3/bsQ+IPZZvz5wynXNd8G9dRvgcqk5oi7qhypvvor4559CzBhR77Yb1fZF9zlPjVJFfj7cG7fAm5fnvwSHA84O7cU+FNt05x1iGaMQ0awpHBERarRu5JmdECO2N1Ycq5i7RsBRp7bRwb15qxo9683LVcdCjrCVnbzRN1yD6PvEusrlPzQaMRf0A6KjVGewZ99escCyt5+enp6enp6enp6enp6enp7+RPal5ZwO3UFr9dMeIx9IWfXptdIbagg9vaGG0NMbagh9OX0gFd0+vVZDTnpvEnXWmWq0pTMhXj2OOKJNKyAmWuUiu3dDZKuWxmN2z+xovDdW4iowRoOKn1yL1/+lHucr46juXRDRupWq74iKRESDBuq9roiJVR2H3q1b4T14EN6du4GCQtXRKN+pKh9pLDs2nQ0bIPqi/mrErolcX/VI41274M13qc7Mgv99hrxrbkL2xZchd+h1KPjkc9WBLEeMOuSjjOWI1gAOd3/ZkR2icn85q1UTU1VEdO4Ab5x8F6sg03hUs5zNGS/WX6xH4fRPkDdqNLL/dSWyL7sSBV/MEttgdBY75ChgsZ5+i4mNQVSXs9QxcIo4okF9RJzaTHU2SyK6dEFU82ZwVKmCqHO7q3f6KmSbsj2xT727xL7VI4wLp05D7rDrkTPgUuQNuxYF8xbAIevIjuMcYz8Fbi+9VnpDDaGnN9QQenpDDaGnN9QQenpDDaGnN9QQenpDDaGnN9SQo+JLyzmN3lnZP3tsNZBw56NSqVQqlVrxGki481GpwVTiED95euNigcgIVS696ozVP6E64+Phle8elcTEiAIdyz8h1JNn927rEcMRzZoBsj2BWo5oRr6PFhF6vqJi43HCUuX8EvneWJE36osZEuLVe1NNZLl333645TtVxTze4mJ49u5D8br1KF5rTPI9rKrDV9Y11zEAvbRyqx01cjcqSq2nzDti4+BwGvvKk35IdQp78vJQ+N085D/5DFwfTUfx4h/g/uNP9Zhm7wH9XlhBsOU4xLrLxwojIlKVe+Vyon3HQ+a8Dr19cXLZej/pDmh5HNwHDlrLkI+Elo+JNveTehy0fDyy3AbZyS3iwPWgUqlUKpVKpVKpVCqVSj2ZtLSc/rWOemvVMdSShDcflUqlUqnUiteShDcflRpMfZQvH4gDzipV4NQdg570dDiKi1W5OZ/qHNQ/6XojI41OXxuGL3353ggxn+7UlaNnYy6/FHFP/gdVnhovpnE+ffJxRF/YDw5z1KoN//bD10BC5R3mdu7bj6Lv5qt32XoLixDZoxti77sHcROfQFTf88W6GY9j9m8nkMD1MAlVLkvkhxPOqEihRjb2xmsRN+HxEvspbuJ4RJ59JhAVHdAelUqlUqlUKpVKpVKpVOrJpaXlfO+Qtal8qnGw8srLlyTYfKaKT+aZL1HOPPPMM898ReVL4p8PrqHyefn5OHgoC/vSDmLPPjkdoFagyv0q96/cz8H2v6ni8xjlfZSWl2Go+SRe+ZNrnTrqvaQS94pUeA5mAB43vG4PPGL7i/9cY4zGdDjgbN4M3sREOBIT1Ghbr8eD4o2b4c3NVfWRn4eiX5fDm+d7B6xcbkSdWnDWratGznrdxXCe0hBRl16C6GFXiukqxFw1BNFDBiP6kgFwnnaaGvEbiP92GCo+g5bb84EE1jMxvTs9E+5du42RqFWrIub2mxF3242IvnIIIlu3sh4/bLZvzBeIb/n+edOXnE/5qEg4a9W2Rhg7atVC9MABiLHtp6jLL0P0vwaIXG1b+8GVeeaZL1nOPPPMM88888yXLGeeeeaZZ5754zpfSs73DlmbyjBYuamVkQ8k2HymypB5nw9U5pln3ucDlXnmmff5QLXnAwnMB9PAfHGxG4fSM+EqKER8fCxq10xG/bo1T/pJEqy8sia5X+X+lftZ7m+538M5PoFamXmT0vIyDDWfRD5iN+qMturdr7IT0L1pC1yvTULBV7NR9O1cuJ56FsU//qzeAas6Ubt3NTpXW5wKR1I19ahd92+/o2DKVFH/O7j++xoKp80AcnL0EvRyIyPV+1qdNWqo96QWfv0NCt94G8WLl6L4p59R8OlMuJ58Gnkj7oFn1y5jxgACt0OqDIOVm6pDPwLrmVjlMdHqfbiK/DwUL/0RRWIqeP1NFH47z/cOWd1+YDsmofLWcoKUO+KrIOKMdnBUTVRl8t26he99gKKFi+Fe9gsKZnwK13/GI3/CM/Du3h3W9jPv84HKPPPM+3ygMs888z4fqMwzz7zPByrzzDPv84HKPPPM+3yglpkvJVfyHbI6KFFuaiXlAykxn6k6YD6EMm+oIcwHKvOGGsJ8oDJvqCH/+Hwg5Z2/qNiNg+mZiIuLRY3kaoiLjYEzxPs2yZEh96vcv2o/i/0t97vc/5JQx6eEVnLepLz5QByNGyH6X4PgrFdXdbwWfjcfrnETkT92HAo//xLezEw46tVDzDVDEdGiObwREYjs3BGRPbqr99J6Dh5CwbQZov54uD782BhNm5SkRtBKzOVG9jwHUf16A/Hx8GzfAdfUj5A3+hHkjRqD/KeeU52yxfoxwcEI3I5w918gofKmddStg8gzO6lHK8uRvgUfTEfew2NR8M77cO/YCYccvSp+4g9cfiCh8qYPtnxHdLR6RHLkuT3U+27Vfnp3KnLHPIrcu+9H/rMvovDLWfBs2gxPQaE1X1DVAfMhlHlDDWE+UJk31BDmA5V5Qw1hPlCZN9QQ5gOVeUMNYT5QmTfUEOYDlXlDDWE+UP8B+dJy+h2yUL268tPqrdWfRysfSGDe8rqAeeOTeQPmjU/mVcC8/mTegHnjs3z5kpS3/aysHCQmxCO+SqwqIUcHub/lfpf7XxLq+Ghb+XnZIZiQoB7rK38AVe80dUb48tI7nMajdZOqwqkesWvM74w3HjUsR4Gajyl2iraiL/sX4kbfh6he58JZtSo8GZnwHDgIVKuGqP59UOWRMYgecpnqpFTtNGyIuDtvQ+zwq+CsXw/efBe8RUWI6t4FsffeqTps5Xo6Y2LEdsg5HIioXRsxt92E2FEjEXFWZ1HuhGd/GjwHD4r1iUFEhzMQe+tNiKhVQ9V3VBPrHh1jrG+saEdut8oYn2HtPzmvHG2qt9VRpYoqs/JiPzjkMoRxiG1FVBQiqicjevhQxMhtO6WhGhHrycpWcezN18N5Wgu9TlHGOol5VOet2B6HfBdvjLg+ZXuiffneXGdsrPFoaFlPbJPxLl2djzfWxyHqOEVeFjobn4LYkberKbJdG1FX/A+G2EeeffvhSExEZLezxfG6FBH16qicbFq1p9TmdQHzxifzBswbn8yrgHn9ybwB88Yn8ypgXn8yb8C88cm8CpjXn8wbMG98Mq+CSs2XmnO7PV5Von5Ldmw0o/FpIvAnadtfYc9PpVKpVCq14vRIv5fzXS71+Fw5YvOfyO69B9SjhI8lcpRsbEw04mJlh5soCOO4VYrKd7seSINn7371yOCIenXhqCX2jewMFHnPnn3wpO2HwyOKGjWAo1oSIDsBxfzuLVuAzGzVQelo0ADOpKq+dsX55RbzITMH3qJC0ZDXeHRv1apw1KwOR1R0ifXxpqfDsy8N3gKXWr6jRjKcycnwHjgAz8F0OBKqiHVoZHQA6/m8OXnwHDqo1sNbLEfDih+gY0W+SjyctWuKumL/Oh3wyPzOnaLtQjirJ6lRuvZ2wlLx4RXr4d6zRw4xh1M+blm+M1e+o1bkvdlZcG/fJXKFcFSvDmcDsYyISDW/91CG2o/ePLlt4j/ZmV2rBrxpB8Q25MJZqxYcdWuL/ewV+2Cf2HcHxbwOcTzqq/2gOsU9bnh27xXbewgOsbyIJo3U/lR/vim8Z/NmeGVHvxztfsopan+Z6+/NzhHLPwDI9/MWF6ty1YErJrWuquNdbyeVSqVSqVQqlUqlUqlU6smqkhA5h8fjMascM9IblfzFb/L2v3REysXO6RjS6GrM1Nafwfho+2cY1lDbQI5kXkLKgWvl67j6yrswc2NdtL7lNcx+azCa6tw/mhPxGlw2Ac7ujxnxFR9h9/+Goa7hSFhkIPW9x/DYS59jzuq9ukxzDPfnkX4vH0rPQpUqseoxuv9EjocO2XxXAfLyXKieXFWXkKNN8fJUeNIz1M/cZRIVichOHdSoUkIIIYQQQgghhBBy8uE0n2lckep2A9m7XNi/eBN2vvohDrzxNPJ//Qzu9A3wetwl6gcjWLvl0oJM7Fy7GQcKAsqPmrqRtW0jtu52hVm/fFq8bxfWbNiObZnB8yEJqFdCxVQaIeejUsNWF36eLjtjRQH2Yt3kIZieEqzeP1dDElDveFGLgHJq2bripYvR+abXS3bGSoLUP1oajHDmM7WouBgx+rGr5Ngg9788DuEcL2rlqOuNt5E35hHkjn64zCnvwf+De/uOsNqlUqlUKpVKpVKpVCqVSqUepxqsTKvTfKZxRSg8wO7UQvw6YQv+nrwGaYs3oOhQHorTs5D/49fI/3gU8t89H+4ds0V9j2++IJS2nLLVhTULF2N+6p+Y9c1yHAp7vgrUv3/Blz+uwaJFC/DDpiD5I1IPDuUXwOuIREK1YPlSCKhXQsVUGiHn+yfr1um4poETEU4xRfh04rKAepWkmb+/jita+pbboM9ofLzKGJETzvzHQo0PGwH5itcUTLSOzwQsK5E/vjQkAfUqSpc96Tt/wtInU/zmt9C+rOVRTU3BF/eniCgEJeofPQ1GOPOZKh++4RTnyrGiaO+f+H39TsgHzJoU5ef4+axtv+H3bRnanXzI/S+PQzjHi1o5iuwceA8eCmuS78F1FLvDapdKpVKpVCqVSqVSqVQqlXqcarAyrcYIWXMShV4R+HvbVEq+IAf48dV8bJqTLUoFciFyKSLweiPh9UTCUxwNb1E0Cr97DvkzhsBTmKnmDUZg+z4f3vrZCZb3edtUkflCN9zCS4zygLzlbVPY+UzkuLxwxFZB9cB8g6H41O2BW04eMW37CJeJcgs1v62+Gcup4TAxr1hvc/7tAfMKKmb97d42nYj57BRMGHY1pgcZ3Cax6pr1ReDvbdNh5Dd/fAs6n22ONq2LiyYswHJxfQ1tn1Qh7Vux5SsiH4tuV72Koe3kg1jrovXNn2FoF3veXt82HWHeTrC84Stv+YYvI38k16/yh5kXcXmxz2+hvdmmFVu+ktbf8v75te8NQXOnU3VMOf89HXsC8lZseV/eb94rxbxB2rdiy5czv2ML1go1GI8f7fdfefxnDEMde/3A+c1YTK++9QH+9e9bQk533PuYqBf++gXjSOcvjd+W/4EPp3+BN9+Zjq9nL0BeXr7OAKmr1lq5L76eh6xs8QNHGRz683t88NUf6g+yFLu+xsT/ewH/9/nfugDYsmQOPliyRbtjTGEe9v+1DuvW7kRGvvnTA+DOyUR2evAp31avNIIdH8PbJuaFVnw+7qnxSJj1ORK+mYmE2UJnSxWT8rZJ+s+mw9HiVL/5/ds7/rbP3zPv720T80KZ9/e2iXmhzPt728S8UOb9vW1iXijz/t42MS+UeX9vm5gXyry/t03MC2Xe39sm5oWGmQ+RM0bImpMolIHdW7H2MrB7qZJf3y2CO7cYDm8xnChChLcATk8B4HEDbrG4wmh4CuJQ7IoX9RLh3lcA18f3iDY8RgMB2Nu3L08Gdm/F2svA4YhFu77noV/H03HJwM6oWSLv81asvQzs3oq1l4HdW7H2MlBxu+4Yck5bnH9+X/RqHiSvvRVrLwO7t2LtZeA4lI98rwNxcUnB8zZvlZsEy9u8DOxeldkJzJux9jKweyvWXgZ2b8Xay8DurVh7Gdi9FWsvA7u3Yu1lYPdWrL0M7N6KtZeBz2/Bx3dejseWyURwrLqqvlFg91asvQzs3oq1l4Hpt358Nc4Z/q5YC0Hd3nh07lrMfrg36kX56pt1TS8Du7di7WVg91asvQzs3oq1l4HdW7H2MpBxXMeRmPbHbng8u7Hm7cFoFpA361ux9jKweyvWXgZ2b8XS2AiWl14Gdm/F2svA7q1YexnYvRVrLwO7t2LtZWD3VrlJsLzNy8DurVh7Gdi9X66c2Oe30N5s04q1l4HdW7H2MrB7K9ZeBnZvxdrLwPIZc/DGTTON68PEnjesn5eBijMD5g3Ma2/F2svA7q1YexnYvVVuEixv8zKweysW04rUPzHy1mvx5NgHgk6jRt6oKlrzlNF+UGx5WcWKtZeB6cvDtBlfYfHSZehzfndcN3yw+G6LxVPPvYGNm7bh409m4Yuv5qLRKfVxTrczUVBQgKeffwM7d4X4K5hQ1GyB9qfUxJlt6+mC44f8DSn49NN5mL18I5b/8Ttmfv4dvvptn8pt+nERPv0m+DR7pdXdXCrBjo/0Vqy9DOzeirWXgd1bsfYysHsr1l4Gdm/F2svA7q1YexnYvRVrLwO7t2LtZWD3Vqy9DOzeirWXgd1bsfYysHupEc2aIOqMdog6vR0izzjdiLW3YjPfrg2cVeL85re3JwO7t2LtZWD3Vqy9DOzeirWXgd1bsfYysHsr1l4Gdm/F2svA7q1YexnYvRVrLwO7t2LtZWD3Vqy9DOzeirWXgd1bsfYysHsr1l4Gdm/F2svA7q1YexnYvRVrLwO7t2LtZWD3Vqy9DOzeirWXgd1bsfYysHsr1l4Gdm/F2svA7q1YexnYvRVrLwO7t2LtZWD3Vqy9DOzeirWXgd1bsfYysHsr1l4Gdm/F2svA7q1YexnYvRVrLwO7t2LtZWD3Vqy9DOzeirWXgd1bsfYysHsr1l4Gdm/F2svA7q1YexnYvRVrLwO7t2LtZWD3Vqy9DOzeirWXgd1bsfYysHsr1l4Gdm/F2svA7q1YexnYvRVrLwO7t2LtZWD3Vqy9DOzeirWXgd1bsfYysHsr1l4Gdm/F2svA7q1YexnYvRVrLwO7t2LtZWD3Vqy9DOzeirWXgd1bsfYysHsr1l4Gdm/F2svA7q1YexnYvRVrLwO7t2LtZWD3Vqy9DOzeirWXgd1bsfYysHsr1l4Gdm/F2svA7q1YexnYvRVrLwO7t2LtZWD3Vqy9DOzeirWXgd1bsfYysHsr1l4Gdm/F2svA7q1YexnYvRVrLwO7t2LtZWD3Vqy9DOzeirWXgd1bsfYysHsr1l4Gdm/F2svA7q1YexnYvRVrLwO7t2LtZWD3Vqy9DOzeirWXgd1bsfYysHsr1l4Gdm/F2svA7q1YexnYvRVrLwO7t2LtZWD3Vqy9DOzeirWXgd1bsfYysHsr1l4Gdm/F2svA7q1YexnYvRVrLwO7t2LtZWD3Vqy9DOzeirWXgd1bsfYysHsr1l4Gdm/F2svA7q1YexnYvRVrLwO7t2LtZWD3Vqy9DOzeirWXgd1bsfYysHsr1l4Gdm/F2svA7q1YexnYvRVrLwO7t2LtZWD3Vqy9DOzeirWXgd1bsfYysHsr1l4Gdm/F2svA7q1YexnYvRVrLwO7t2LtZWD3Vqy9DOzeirWXgd1bsfYysHsr1l4Gdm/F2svA7q1YexnYvRVrLwO7t2LtZWD3Vqy9DOzeirWXgd1bsfYysHsr1l4Gdm/F2sugtFyJd8jKD7sPJ79rhQfunCLRWBEikI8ITy4iPTmIcOciotgFFHnhKYyEp6AKPHlV4c6thuKcaijanY/i7cF7s8qzfLta+ahqaNCmGapHaR+YD6EVl49AQuNT0bhebIh8cA0nfyDXBa8jBgm1guft3io3CSgvc35ZZicwH6D/nLwLP4+/Gld/aHYKdMP4n2djvHYmh99+cDXz+SkTcPXw6VBLrzsMkxfOxrh+SVa+rPn/cfkta7FC5jXlnl/rscpbBJSHO3+ZeZlTDMZH220jNC09hM9u0FVQF4+c09FvfgvtS7Sv9ajmN6bic1lmx54Polb+74B5A/Mh9HDzFgHl4c4v1SOOU/NmTdCubUu0ayOmAG1xalNVOXA+u9rzQbHlg6k9Hy4//PQbtu/YhbvvuB7169VRnbH9+pyDgQN649U3pmL3nn148P7b0evcLmJbTsNVVwzCwIt6492pn6Cw0P4A4jKIaY1LR43EFa0SdMFxwp5UzJadr43PxnVDB+Hqqwbhis6n/D975wFfRZVw8ZOeEAIBlK4UESygFAsICKIioNjAAjbW+qmgq7i6tlVXsa2oK5a1oOgqWEBXQFE6Ui0UDSIgVWkBAgnp5SXfbVPfvOSFoojnyJ3/PffcO/Pem5kXf7mZGRzV6DAVt+5zIa690lsuOCoZSGmKHqeI/wmIQkH7J4jMvZ65l8y9nrmXzL2euZfMvZ65l8y9nrmXzL2euZfMvZ65l8y9nrmXzL2euZf7Jfe1ubN9foasvMD15y9LRKUMMeXFiAsVIL58D2JDexAfkpOyxYgpDaGiNB7lRcmoKEkVrIlQUZooNZH79n/kWsJU+XZLUbRpHVb+sBIrM1Zi45ai8H5FucjbnYO8/NLA9qJS40tzsHmFXs/K1Vucdqu/j+X5O5z+P6zDjqJQcP/yIhTJ7WcXqGuAw9ezBRvN61+5YhPyqtiuw1zkF4k9l5SMelH117Tla6+SorhVZf/QNiwaNwI3nnU8msSaZ0627opLho7EJ8uzA8atx5vnOs+mvG1yhGeffj3CWd+5o7HBn1d7u/vGDe9fj4EPWc9+7IJbP30X93euY7yjaNdXLeYtxOO3Pgi99S549OM3cN2xydGPrzbF9sz+ueT9bYjZ8DnuPqsx4hqfhbsnr9f9smbi8XOPEp97Y7S94iUsy3ePBzLfHxj8LFLJy8Yi0/SL/DqysWHKaNx9/Vlo29gaL7Z11kDc9q+xWJTp7+9+ZqwoR92AT0S71oPoFvY6BmLcJtf4zWNxiSd3aD0bOGfeSNzYVbxn1T4C8k9LPK+7TByT74tj8kxxTFrj24hj8lZxTP5YvWf82vK17zeK4lZY/v1ojHhLRUD74Rhwhvd4s2V8zuLRuO0C630fhW7Xjzgg56GmODa+eAm3XdYVrdyf80OfY1v7+zF9V7marCz/YDAahY2Xx5UYe7kYa+1n+b3xsG/sh2KsNW7RCNfxELDfXedL2HElvsd0u8mbXVn5cXm5ODdE4l1/MKUsn7VrFyZ88jk+mDAJH4wXpRJO/nw6SkpKAtfnlzuvitFqytTZapI1KSnRtGidenJ7NUk77OZrkJqaYlq1TuvcCXXr1MbipRmmJRqtx9yxYzH3V2MDlYcV08binU+/RZZpkf9vk5XxOT56/SU8/fpY/G/xNs9zaPdNIaxdvgm5NZvh7G7iO1W1xSHt2BPQtql2Ycr6AXPWhtC6UwfUj9DFr2j2F0mSJEmSJEmSJEmSJEmS+4FBbYaxzj2P9467fxUUK0NFOeIqShFfUYS48gLBfMFCxIRKEFNegZjSOPX82FBJEspFkfXykmSUl3p/0Wop0vYK1n6HiR99jve/ysCijFWqzJr1Jd76eCHW7g7Z/XYuXYDxn8/G+PnrPOOt9tmr87FpwUy899FsTFuq17Po22/x/vgvMWdVgd1fM4Q9G5dj6ieT8c6nC5z+GRn47OMpmPhtpq+/4Pbl+Exu//PFWOtuF5/L2plfql/4zjKvf9HSxRj/0WSMn7kGe8p86/EzJxcFISClRrrYeZX0symK+UyVwvIqaIapWlDupnyeau+O6HrFgxg96yd99abUmoX4+JW/YeAJx+Hc55ag0DOuOc4Y2M90BF6asgC7A9a/ZO7H9vr6DuyF5u58r7a7j0Qy9JHbEIPeexcvnNdctXtU2fh94JLX78KIZXoTXUaOwi2pH+Ou849H49hYxDY+HmdeOwIfZ+wOG7cvtFSBXZj58vUYOUt8yttmYuQFYls7tuHjO6/Eg1PkDV634adxw3D9K0u865EfRiS5+wWxcD1GX30cjjr3Box8ayZ+snew2Nasj/HSPVeia+OuGDppvWdc9SQHuberbLBEsPWjK3Dc6X/D6EXODXGt7SrmLojimFwqjknX+wykKGaoUli+n2hWr2pheRFmfjgSS02PvsMuRntPbgIpUd+1cATOPeUGvDTJet/rsfCtB8V7PhdDp2z1jNtn5i7ByPPlsTEML3200LnFsPycpywElo3AWf1GYEFuwPjcpVGODd+uW+728Fw2unPTHK3MGP/6g6i6Gz/hf1Pw/fKVnjwSp0ybg4Xf+M5XuQhQ0PhIjEa5efnIyytAw4b1TYtXR7U8EomJCcZ51UiMqd5ti7OxevHPWJ1tbIAyp43Gf6buQMNTT1Z/8ATk4ft3RuKRd39GWZtT0KtNMlZ/+iqem7ZJpfuujdi4M4T0Ji2RbloqVxFWf7sRuYe1winNo5yNFYpmf5EkSZIkSZIkSZIkSZIkuT8YOYuV07JyZnZvmblCrElaVIhSLiohxEHeurgYMRUliK0oE6nYoJwDrogFQrGoKI9XBZJlwb9s9W9HLop+nItPFm1GVgmQ1qAlunY5DQNOb4cTGyQDhXuwI9/dXxQja7y7fdsP0zFtfS6SzHr6ndwKrdPl/Y2LsO67+Viyy7X98o34btFabC6MRb3GZrtndULnZmlIRAhZq5dh0TZXf7UNsyEpV3v24gX4amsRkFQXnU/viQH9euL8Lq3QJCWEgpIQ4uN96/ExL69EbDERKelxnvbIVP8cheVV0JYwlfWL2aCfpzq7sl+Qb8OU4f/A2LWi6hrf8uzBuEjlQv+ZhaXFgq48JmYpZo2zpoMuxhVnt3Dle7/dfWGLQW9g+gfX4dr35uO9Qa7X41Yl4/eaxbPwyb/MlbkN78fwtlNw3olX4tnJZvJr20+YNeZBDDzxJNw4fn30662KljZNwbhn3J/1m1j4n9EY8a738186bhaWeca7V+KTu18AV75xJW7wrT9cC/Hx+IVY7xpXPYn+nu1qG6i8mXjp9nHOJKuRtV151fe4oQOjOCYfFMdk+Pv1Uv1zFJbvH3Z5UF8JGiqfgMFH+PKszzH2SfNe5DHnPt4tWlozFnfbV2/7tRAvX/csZnm+p/eNS98Yhr9NruLYWPQgRozfEDZ+2RtDoxr7eNB55JKnPSwXxpOrxuglh3vGR6aS8YXFJTix3bG4/JLzMeiS/pWyaZOGKCzSd5mwxutFgFx5VYxGaTVTkZpaAytXyS/n6CVvpb1q9Tr12veXSn8ci2e/KMKJV1+H3ma1pYs/wOiMwzDo4dsx6PSTcdLpF+Pu6zqg8ItPMTdX99kn7c5DdigO6bVisWHRV/j4w8/w7oQZmPP9DvFzPkBZP2H5zlgcdWwb8X8B1VDA/iFJkiRJkiRJkiRJkiRJcv8zqM1irJyalbOz6kocAY9XrDzf+bO8Ia+UWGmsKKouO4QQExcC4srEdgRjZD85YWsVtbbIMuu3t5e/EjO/34USxKHhCb0w4Mx2OLrF4Uhr2gIdzjwLA/p1x6nyFn9Wf9fqLa+arPa4NJxwej+xnrZqPfWPPh6nndsTnevJq04K8OMSfWWtWl9sS3Q4qR36D+yH/j11/7T6TXFM1x7orO4ZWIR1qzeZ9Zvtu6XWI//lYN2WAmEScPRJ3XFM09pIS6+Fui2Ox9kX9cPgXm2QYo2X/RVdHoXILhSfZWIy6iYG5T7vbrcUllcx3i9/7vLp6S1kD3QZ+i6+yyzQz58M5SNr/r/QVyVSn+Pzb7d5xzfphyuG6BQYic/nFnnzpTMx1lwRiiGD0beJoCtPr222O0xuN99styDCdiO/fonq5M0Hvo7XLzdXxlq5W6p979cflGdP+xgjrLmxK5Ox5J5Ik1/rMfqyv2GcvILdNd6zPsUoc6NPvk3HvcXi882ajFtM28hXtuH+zaKtZC1eH2galxWpK5Kt8Q0vH2+eRRrS+2e+62m7qp+GvT3pFbdi6VzrHTbEoLeXI19uX+3jcuRvXo7po4ej75B3Me/twWhhj++C+1Qfs72N7zqT/ngU88x4Ow+Nx6CmIrLGNxmMj+x8vufZwLunLUT2yMXIynePvx+dZWjG28ek+1woDzom9RWjkd+/abcUlrv8AcqXvDUCb8pMqMMdF+GMJFFx5YqWli1BxSXTsSZHfiai5Gfhu/duRRcTY9tIfDwrO3y89DJ3e8XK8qWYYv1xAjrgzk/XimPD7I/8LZj8d3urmDJrKbbKij1+KT73jy2Rr1mM9439XIzd5t++S/brMcabm8DKT71Pvz6rhB2X1vFkyvuD0MA93lq/9IqOV6rEqya3VzReN3nyQLlyzcjrj1YDLuyDcR9ORGbmTtNStT6cMFldOXtSxxNMyz6qcCne+eBn1OtzBa5rZz1jtgjfLdkEtOuILu4beTQ7Ak2xE+t/MX5fVCT/wCoWWT/Ox5KCujilRwd0OyIBWzLm4+OFO0wnR1mrMpGd0gDHNjMN0Spg/2hG3n/MmTNnzpw5c/XP6xWZM2fOXP3zekXmzJkzV/+8XpE5c+Z/pryyzL5CVhXZaLz/yhxVAvJytSbRFhuLcrE6xMchJjFOULQllIt6CWLiixEbX4JYUY9NEEXWRVtMQqnI5BW0ATLrt7aXs/xXbJftNZuiS7s0Xx6HWnVqhL0+S9KrooxqAtKboNMRCSpw8ho4pmVd9Ry3UNY2bJR9TV7nqJY4TF6SYrxcj9xuy0a1hQFKcnYjT1as3C3VV8GoHLm5BWY91vYTEB+2fncuSnEeCkuBxJSaSArKhbW8M960WwrLqxjvlz83PiamBfr9+zPM+2w+PnthMDocnmzyFNTpMhwPPCgHa32yRl5x5h6fjl79r9Oh0NjZC1Dkyjd8N8W+Xeq1/Xuhjmq38pbo98JnmC+3+2+53RTTnqy2e3/YdgNev3yuo/3sxjhdt0scHv9a95XdA8eburQeBeXGRxxvfKR8/fKPZS+lbc+8hKWXTMeWAvOcy4Jd3skvfIyR7y/zjFfrs96veX923bx/+X7927d0kfj8W8qL2ut0xGmX6DZ074LTGomu8S3QoUsH0+gdr4pp1O3SGEXINYtQmCMDqUZolG7tX50nNzoOvf7yL3z25mC0lF3Cxvu2bylSbrw/d2vW4f0walAH1JGTNCZXRYbKt0Bfc0xOFudCR3MuxCAZ6WHngr5y0zteUrcpynZLYXnA9vdi/3rGq3bdpq7Ifs46+/rhlos6enOrv61b8cC9vdBCfkXL9pQ66DjoX3j0XudKxpe/+ylsvPNs1fDzT1Kdg3Kw6a/HF8kLjY0uxoD+LZCcYPKUhuh3vnMrdBQX+caHj02JF1WZi7F9/WPl9mTdGu+SyiLmOgjLTZuJHYXl2qtSRa5kvL1SV66aXLmm8brJkwfKlWtGXn+0OqljO/TrcwZeeHkMtm93ntwaSeM/mYK1637B/11/BRIS5E7bR5VvxdRXJuJ7eeV2rHt92cjdJfD9RNw2/BFXEX1Fc6n1t2j7rFIkHtEVF/dqi6YNGqP5Kaejp/h/k9xf1+s/IrCVgw07ihCXXtfcTjl6Be0fzcj7T5O5ymRhbnvmus3yqjC3PXPdZnlVmNueuW6zvCrMbc9ct1leFea2Z67bLK8Kc9sz122WV4W57ZnrNsurwtz2zHWb5VVhbvt9ySvL7CtkrfsYW97PSHn91rFArFhNjChx8aiIT0RMQjxiUmIRk1yG2KRCxCYXIC45D7Epooi6Zr7IZJFXjAbIs50ibNqp+6U3bo7aAa8j/PWJYuTNdZuU9r7xLevhcBnKKzvlL2P9uViU5e7A5hXLsXDmAnXbY6WyYhS71icqcqFlj6+NY5umiYYQtv0wG5/M/BHbdpep/uGv30uZF+0qRAkSkFI7JTB3e4fqn6OwXDPieFuyk0RwPz0+HV36dA7eP/7fm/vy2j0vsq+43PbWQiy183WY+dFMHeBWXNyztmecZjo6R9guqtiuzcok8mj2j/JuBeURGF2+DSuX2rNIwJAX8e7fz0CDJJMnpaPD5U/jX484k6JLF/6EdUHrr0zufv7+8cl2u+onJaumX6OGzU2j7iIXqquh5e2xUoG5xYZo0cmazFuKZy84CjUSYxHXuivO7H0D/vav0fhYvMfdpZHGa6oiV2EpLA8eZ9Oli7uJz9eXh4+vLY7JLkg33pN7jsmA3EP1z1FYrhk2vjJFM94we8pY+4psDLkWFx8V3M+t8DwZx7Z1/kwAP63HNk9uxlQmX3/NZCS3V6nQx5gwaT2KrOOgcCs+n/i5joQatm1urjS1xif5xq5Tf+yi8sJtmOIZ20KMdW9Xt1uSPvLnL8OA3Kb65ygs14w83smPad0KKUmJdruSK7faA6mrnvZAuXI3g9ZfHfXsfirOPrObmpTdsVP+4A3WhxM+w08r1+C2W4cgLS3VtO6jMr7FZJyMoYNbIOuLCZhr/wGIVkrnS/HCyIfCynXtTId9Uf00yOtxE5NraG/UqJ74/4SSInjvirwN20VDvTqNjY9e0Rw/bu8nc+Zu7ydz5m7vJ3Pmbu8nc+Zu7ydz5m7vJ3Pmbu8nc+Zu7ydz5m7vJ3Pmbu9ndXKrzaI72+dnyDY4VizK5RNk5TNNE4D4JCAxCbEp8YhNLUdsjWLEp+4RJRtxNXIQl5oj6lbJRnyK77efljzbyUWufK6oUHJKuqu9MopiFF27YbzVpRyl7meZludh29JFmDR+Iv47cQGmLV2Ln3dkI1/+El/Jtx7PhmTR7Skde+CiEw5HWkwpsreuwReff4YPJi/CD7/keceHsRS75YxBQhLS5e+hw/JIVP8cheVV0JYwlfVTzMb6L97E3defhW5trCvdNLs9JPq45R9fpxcu/ptKgG0vYdbXpn3tLHwyXTfjbxfhjDq+cYr7sF2LlSmofyS6FU3/alMUo4vP6ID0sDwFx7U/TeVK/1uPTE9uWJkq7e+026/F089q1F3s9jCKYqnSfinodeOLuLaVqLu1ZiFmTR+NZ++5AQO7Ho96x1+Cl78vqmQ96p+jsLwKuhVN/5gcbPhiNP52/dnimHSOR0nvMVnVetQ/R2F5BFamaMYrLsWbj1o3K26I+6/qF3C8GboUnLs6BeWuOFBh/SU74KKbrStZ9WR9apL5nFOb4LwnnVsS33q2dWWvNb4jLvaMbSXGmv2U2tg3tkP49l3ytIflwgTlNnVsKyyPnvfedTMaNWpgeyVXXil11dMeKFdeFaurnqd3xlm9uuLfL76FXbuyTaujjz/9Uj039vahf0GtNOu2wvtBdY/F/4ljoXWnfjiv2U589OFCFKqgIZq3jEfh6p+xfr9dDetTXEM5J4vt2zaaBq2sPQXq0QTyz7dsbc1Fnvj/rBo1k01DNRSwf0iSJEmSJEmSJEmSJEmS3P8MarPofYasa9Y2nMF5+hGiHhuDipg4IC4BsXHxQGIiYhPjEZ9SgfiahYirma1KfM3dSKi5S1CW3YhL0yVQvu048rXbVFWPt+TNVZOSv79NGeqqaqwoy8S3k2fii58ykRV3GE44+WRcNvB8XHVpP1zY2vmVqWd9ng3povNY1G57GgZc2hv9OjRFwxpxKNyTiSXzZuL9GetQaI33sywXBcXiI06qgZpBuShe72oXsBWWVzHeraDc5nqMvfo4tDr3Box8ayYWrhFtlSlsfDK69Lkf+lrIbfh44RLVvu3bz6GvVWuI+/qchuSwcev2cbuCp97vem6j9QxHh/edKvuprsHjFU3uVlBu+wjjw9q9ebJ8fqeRbPbnyst2S+2TkeTP1fv1v0+rWO/Xt31bTru9IeV1k9NovFhohntbgbmLzS7G6z9uUc+KvbbnseYY8WnNxxh27UgsLAwYr6j+OQrKPd5HtwL7qarx6zFOHJNHiWPy2SqPyaDxbqp/jsLygPF7s3/d4w0LZ32Mkdazm9sPx0U9kz25hy5Vlas35M/tc9D/ujXla/b0N2xx/QuYPNR19W2YGqLvyDdw56nOld0Wm18/Koqxr6uxYZ+PS7o9Ui4DA3duU/1zFJa7+gW2R86VbB+ee6irnvZAuXIvzRBX+95ITsr2OP1UPO+blJWTsT8sX1n9ydhoJlKPOBrHqWfEHobul3ZB09VT8fY36gEEaN27C1pkL8V/xsxFlvV0heJN+P7HTcbsq2qj07GHIy5zNeasMdfDZq/CN78UIaVRUzTSLVrZBciVd8jwzNJGqYD94yXz4HbmmsyD25lrMg9uZ67JPLiduSbz4HbmmsyD25lrMg9uZ67JPLiduSbz4Hbmmvsvd9rCM9cVsmqCNnDWVjM4j4mPwdFni3qsXG8MyhGPmLhExCQmiBKDuJRSxKXmI66mvEo2R3C3ukpWXSlbIxtJ/f4qVhYgz3bqIt3c0a+oaI+r3U1V9XhL3lw1Kfn7K24vhHyUHJCE9PqyPQY5i3/Aj3lAXL1jcNnFXdGpdWOkJJlxLun1WO2uULX78vgUNDiuE/pc1BcDT22MdNFWuG0FFq0u9/YzDGUXoUjsruSaaYF52Prd7QK2wvIqxrsVlBtmT34WV76r723a8ObxWLNHP9c0JJ9tKsq8R1TkyDderjulyxm41sy2Lf3vLCyLycbSeZ/ohobXoVeX5IDtPreP23W2H9xezdytoNz2DovXjsUNJzZWV/Y1OfFGjFsbdKWnrDZE8w7O7Yg/mb0U2Z5cshhLF01QuVKXY9HSk4dvX7OK3JbTLscoKa+bnEbjxUIz3NsKzH1MaKieFfv6zB+xRe7fgl3YtWsLls8YhcHWDO2yj7FwVYTxokjYCso93ke3Avupqlrk+M6FteKYtI5HyfmeYzJ8vJfqn6OwvKrxe5vnYMq7I+zHrPYddjE6enIfXQrPi/DT8gUqUzq2BRp6csmgcdHkLXHaLffj0f5Ai85d0EI0KbXqgotvHoXJq1fgszs6IDlwfAt0iTD2IjN28h0dkaL6u8Y3aoGLVEepDdgmH3vqzjevxxKVScnAwMo9VP8cheWufoHtkXMl24fnHuqqpz1QrtxLM8TVvrc6u1c3dO92spqUzc7Zg0mfzVCTsX+t5mRsg2aNkLLzW4wY861piUL1e+OaM9OxYuLH+E5eJlu7F4b+tTtabJqJR+4xz5B94G1MXrEbe/SIfVfrzujdJglbvp6BN9/9H96c/BOy01uh72m+WxOHNMSPieorYP94yTy4nbkm8+B25prMg9uZazIPbmeuyTy4nbkm8+B25prMg9uZazIPbmeuyTy4nbnm/sudtvDMdYWsm3rK1vGV5006xCIxpVy3ibWXI05dMSsnaWPiKxCbWIrY+ELBAv0M2SRZ8hFbNxWxjc8XKwmQa/0VFXFoaGZkszevw24ZeHI/ZS57a3lz1aTkbdfMXr9DP7ctrS6ayF98isbt2fr5tYc3bYMU1U90NP0dudejKqpVyW63KCq2j0XNo07GaUfK2xCGsCtrly/X3JVXLLomIS3dPz6I7lz9cxSWB9GV25JtEr7ccP1K55mLsl9KnJMXrp+JWdYdQJXCxysm9UK/m83s2rLPsWThAnz+irYNb+6LM+TVoaq/Mz54uzoP366QGueMD+Y+5G4F5YqiYvut+PyfV+LN5Xrqa9vy0bjyn5+HPWPTYoeeg2Ff0/fWUFz5xExslRMHMi/MxtJxd+HBJ6xptIa45bwuAc/WFRWPjyK35eTq/ekmVz+rUXex2z0UFaebrofljl837ga0PeEKjBi3EOt3F+o8qTZq105Ho/Rk16rqID01fLym+ucoLHdTdva1uxWUu7jOd0wmx0nqvEgckzN954I1zqGo2F79cxSWB3E/5EtHY8Rbwitdh+vOa+7NFS2vOhm9hMfEMbk+17QX7saScX9zHZPALScdEz7eQ1Hx+Eh5EZY+0RV1jzsPY0+ah+Xz52ONuqJWlFXz8NGLt6LvUUHPnJbjC7FEjK2nxs4XY+eJseX22PEv3iLGpvvGGSYlw7lp7GiMfFacr+bK7KIdSzD6Hw/C/BmJkNyWhHs9ss3yOrYVlgcxulzJ025R546XHVXVkwfKlasugdT5vkhOyp7WuSOe+NcrWLJsuZqMTa9dy6RRqvWleOyx2/HYZdYfsXTAdb5nv5549UN44Wrnj1ykGvS5HS88djVOUlfNAglNeuH//vEQRsp1PTwcI5+6H/df0g7VfDWVKA71Tz4Dgy7vg0HnCg7oj0F92iJdfm+41fZ0XHtlH5zSwPjqKGD/OJ65l8y9nrmXzL2euZfMvZ65l8y9nrmXzL2euZfMvZ65l8y9nrmXzL2euZfMvX7/5kFtFuWUqfrnpay4vZ+y4ng58XrStclISi0HQmWilKKirAwV5WIrMfKyjhBi4ssQE2dKQili0tIRe9ZEkcfLlQTIWb/8l97uSDSUv6DM+wUzFm335SHkrlyNjerBb9KrwJHdTzmt/N3YrO5KaLWLxebFmLFWTr7GoWHL1kgz7dYVKUX58nm3sr8MRCndgiXrrWfgynaLJrdktxfg54VLsDFH3kdReqs9hDz5fFihlOQ04WXgzncjr6gCMSk1UE95f+7ipnEYqJ5XaZ6l2OxK1+TAx7iymZXJMhDjNrnGbx7rGiuKZ+wnYqz1LExZLsG4zbJdj29xjPU8RmDbfwaiSarso/unHnUlCrs/CvvX3g91Cxtvsct5w02/WXhz+Ai8rOodMPy801z9ZEX3D96uLuHb7Wq264wPpqy4vZ+yEoOFj1mfh8WueFB2MXqwqzd//GvZ6oy31ldkno9sq7hILJzcw/a34l8PWu9oG6bcf5Z4z2Y7qXVx0hUvw5rva3jVM7izT52A9ciK2/spK24vaUl62eBqV7S81Sjkat/2/iX256BKV9cnNf5KNHF9TnGXjxPvTI/L/t+N6HbFaPy0fBwevKIrWtVLddYRJ86HTjdgnDXX17kvOrSS40Qx423GuyfRHkQ39/YU3cejKOo8snL/frW2b73esfbrlYvwY9LZTvC54DoP9+X8tSkrbu+nrLi9n8WY9dFILJVWqOG9g9D3MHcuK24vadS+I/DRWWhV27z+1HrimHzJPibRcDguPkMck2Hj3ZQVt/dTViS3YulcveafxOeYau8vqwjfpC3OunwYXp6d6Ru/DUvnWWO7irGmv3t8k+Nx1mW3ibHyAJPjZG+xaNQBvfrIutbCJ8+zv+9SG5yEN9vdgvtM5hknWen+tY5Lq+zj/lVyt1uUFbeX1FXtZcVq9MuVqy5BlBVl9kl9evfAOWedjttu3YvJWKOElHTUSon0/xjVk1pXWk0kmP8f2O+KS0ZKndpISfHPxO4PBewf2/spK27vp6y4vZ+y4vZ+yorb+ykrbu+nrLi9n7Li9n7Kitv7KStu76esuL2fsuL2fsqK2/spK27vp6y4vZ+y4vZ+yorb+ykrbu+nrLi9n7Li9n7Kitv7KStu76esuL2fsuL2fsqK2/spK27vp6y4vZ+y4vZ+yorb+ykrbu+nrLi9n7Li9n7Kitv7KStu76esuL2fsuL2fsqK2/spK27vp6y4vZ+y4vZ+yorb+ykrbu+nrLi9n7Li9n7Kitv7KStu76esuL2fsuL2fsqK2/spK27vp6y4vZ+y4vZ+yorb+ykrbu+nrLi9n7Li9n7Kitv7KStu76esuL2fsuL2fsqK2/spK27vp6y4vZ+y4vZ+yorb+ykrbu+nrLi9n7Li9n7Kitv7KStu76esuL2fsuL2fsqK2/spK27vp6y4vZ+y4vZ+yorb+ykrbu+nrLi9n7Li9n7Kitv7KStu76esuL2fsuL2fsqK2/spK27vp6y4vZ+y4vZ+yorb+ykrbu+nrLi9n7Li9n7Kitv7KStu76esuL2fsuL2fsqK2/spK27vp6y4vZ+y4vZ+yorb+ykrbu+nrLi9n7Li9n7Kitv7KStu76esuL2fsuL2fsqK2/spK27vp6y4vZ+y4vZ+yorb+ykrbu+nrLi9n7Li9n7Kitv7KStu76esuL2fsuL2fsqK2/spK27vp6y4vZ+y4vZ+yorb+ykrbu+nrLi9n7Li9n7Kitv7KStu76esuL2fsuL2fsqK2/spK27vp6y4vZ+y4vZ+yorb+ykrbu+nrLi9n7Li9n7Kitv7KStu76esuL2fsuL2fsqK2/spK27vp6y4vZ+y4vZ+yorb+ykrbu+nrLi9n7Li9n7Kitv7KStu76esuL2fsuL2Pga1GcbCvkRn35hQowId/y8dzc6ph5iSQqC0BBWlIVFEWC42I4vcqJwKPulRxJ69CDHxh+vxgdLrtVmjNXq0rYtEUc1dtwhjJ83HosUrsXLJd5g28UtMWLIS8xeuc41zyb0eS4WZYtzn+N/07/DD9yuxZNY0jJ2zSV0dm3jY0ehxfJI9rmmjupC/Is1eMx+T5i3HStH/h4VzMWH8t/ihOBb6Qhpr/S5aMj60ehm+Xb8Jsz77Ev+b9YNYzzps/PknLJk2HV9tDwHxdXFMG2e7NrMKUVgRg5SUdG97IKurvR3vHZd+1l/waGcVhKnhlc/g2rv6YnB706DkHW+z/Rl2v4WLzDRO+8E4o72vn+F+2+7esLryjzd0PxdWKUlOHYb300xClwfG490h9g1WA9XwvH9h8ouD0SJs/N7SUkC7x1uNQpHaq5JrXPqFT+PdB3oFPzfWrVbX4vXRt6KDGWeNt9nwDFzxf5Wtxde/OvKMqxDH5LVVHJP9fMek1F5sV8nZ7n7jjs8x9klrlrsDhg/sBXUdsr+fh0atBuNfLz3qXMXtURfcMvpOnJEq6/7xe8NG6NC9smfACm37CbM+egnDzmyMbo8uRJE9viE6dIti7Hgz9rEFKLK32wKDH4nwHjs/in9df5r5mSBlbc9ideUfHx3r1q2NqTO+wgP/fAYPPCJKJfxp5RrUq1snfD2BcuVVcT+oV88uqJO+/65F/fMqYP+QJEmSJEmSJEmSJEmSJLn/GdRmqGdJ5URpjLmf8T742LgYHNY2Da3v6IH6l/VHyoldgeS6QEIDVLS5CjE9xiH2/LWIbXI1EBvvjA9SwPprtO2Oizo3Rf1EoCR3J1auXIVFKzdjc2450hq0QZ/uLV395VgjM16vTyuteXuc0TIZBds3Y8nyVfhhawFKkIB6LdrjonPaIMW1/cS2ndCrmbxlcimyflmLRaL/kg25SBF9B1x4DOqrC1p8r1cvtGRVhPGtT0X/U5uhYY1yZG9dL9aTgVnfrsYP24uAlMPR+czT0LKGGe/a/q78YlTEJKGm+ChV6Mu9vrra2/FmnMWUjrh/6o8Y/8h1OKOtmfhq1QXXPjUdi98cjBYJHXHrm6MwyMr84+3td8QZV9nXDyp1uKoXOti5r39yR9xnttvLt90lcrvxHXFL0HYjra86XtrqyD9e+Ubo+493ca15fQ3bXod3/9HPecZmWH+xSGiBQW+uxZYF7+LRIb1wrPXWGh6LM4YMx+ufrcWPE4ejY5psDBi/N96Wk9vtxtv9jbzjnfYqJbva66uDM/45HZu3zMe7T92Ki3oe65qcbYEuZ12HO0eL/Ic3cN2xciLbbM/9epSvg35Pz1DHSZdWst0v08/ub2w0Uv1d20vpYB+T7nPhOnkujJbnQgd1TA62j0khe3x1JQb5t7+PfumYEXhTVqX63IKL5OlYSX/lXarT5X5M/uZ13Nrf2ldiP/3lUYz/4TOM6tMoePxe+WR0+Ptn+G6kc0VyZVr40AiMXWONT0HHe6sz9nGMXStrenzyyfdjxorx4vyznj0r3+O/MO/T+9FFnXeWrO1Zr7+68o+Pzl82sD/6nXMG2h7XBm2P16WdZIC/7upLcVLHE8LWFywn9/f3+9jYGPXcZOr3k/z85X6IZn/R09PT09PT09PT09PT09PT09PT7w8fOYsJhUJqblZLtrrsb+Szm7XR1qX0javEMvL4UF4OCkq1j0+tjRR56awrz1o4FZPWFwGHHYMhvVurNplnLfxStSc27YTBpzcFSvKRm69vFxyfmi7WU8nrLcxDbpG8BXMskmqlITEu8uvTqsQX5op1ybooCTWQVjNB1IP652Ljz9uRl1AbxzQ/TD6dV0dK1dieEj09vSP6P7TfMAXDrjgPLy+6CO+uHY9BzQP6F23FuNub4Mo3dMuj80O4T169HDZWpr7xRZlibGPX2HIxthqv7w/uI/9ctlT5+F27c5GamoyUsFsA/Dm0ZdtONG54mHG/jwqLipGfX4i6deRVxtXb//T09PSO6OnpHdHT0zuip6d3RE9P74ienl4rODNXyEojaYLf2gfKlQeMj6uZjrS6tZFWJx0pSeG5R57xWiVF+donpor1iHWp9chE9nP3d/kaaapfWt1aejLWn1fHp9SyX39ampxN9uWW35OHwpDoXqMu1PyvP6enp6f/E/ql/3sQLy+SbduwYmUminy5/FeUvQ27rcd8K+k8bKzpb+WSRTlbsTtbthn58kPeB8qVqy6RfUpKIgoK5fOwqd9L8vNPUf9jE75/6Onp6enp6enp6enp6enp6enp6Q+Ad9d92X57huw+MVAB/arBkLlTYkpqui93ydN+cDI/rxQhJCCptthjATlJkuSfkkVbZUVoIR4/tzFSY2MRFyeKi6lNOmHYR6Zbw/vRxXoWtX+sb5xkamMxdrzp1vA+dDlRVlzbP9QZqIB+EZiSnIyK8grkF3BS9veQ/Nzl5y/3Q9D+IUmSJEmSJEmSJEmSJEnyADCozdB5huzvyUAF9KuKhZnYuH4nstZn4LvN8pfAcah/+GG+fi552g9GFiCrsBRITMFh8irgsJwkSfLPyQ6DnsEg12N4K1XDXnj04/txRrIe3+Hyao6d8ADOSJHG2f4hz0AF9KuEtdJqIjcvn5Oyv7Hk5y0/d/n5B+0XkiRJkiRJkiRJkiRJkiQPEIPaDGPKQqEKVTeSE7W/tc+p5Fl11Vrfj/Mw5vtdxgCJhx2DC3u3Rg3jpfzPlq3W+oXo6ekd0dP/rj57Pb7438v4eNxS/LRhFhauMYFQw7Zn4NhjjkW/iy7GRX3OQAtzswR7vBj7uRj7SSVj+4qxF5uxUvv8ekX5o/igZ8jWFj+Xq7u+UFkIe3LzERMbgxopyUhKTEBsbKzucAjrt36GbHl5OYpLStVtiuWVsbXSUhEXH1ft/UXviJ6e3hE9Pb0jenp6R/T09I7o6ekd0dPTawVmoVC5pJZMHfeb+exmrbV3KX3j6uqvr2gXNq/fjtxSIKXukWh6RA3E+fsX5CK3qBxIqIG0tITqrZ+ent4RPT29o0PMR/y5bKma6yssKkJhYQnKQmUod/1vB7V/FBsbg/i4ePXsXnWb4mruH3pR6B3R09M7oqend0RPT++Inp7eET09vSN6estHyGJCoZCr2d/LrwOTB12JY10h69Xv8/ocMWfOPLKYM2ceWX+sPPqfy5YOrtcfLubMmUcWc+bMI4s5c+aRxZw588hizpx5ZDFnzjyymB+6uc70FbJWv9+JVV4hS5IkSZLkb0b+XCZJkiRJkiRJkiRJkiRJkqwmpSJk9jNkA7LfjEHPkLWeVRfNeJIkSZIk9x/5c5kkSZIkSZIkSZIkSZIkSbJ6lIrYx/MM2d9JVT6rjqIoiqKo30z8uUxRFEVRFEVRFEVRFEVRFLX/ZF8ha8marbX0W/igK3GsZ9Xtj/XTO6Knp3dET0/vyO2DniFrXSFraX9uT4qent4RPT29I3p6ekf09PSO6OnpHdHT0zuipz9YfGDmuUJWpo77zXyVz6qzRE9P74ient4R/X71VV4hu5+3Ry8KvSN6enpH9PT0jujp6R3R09M7oqend0RPT+/o9/QRssBnyFrytx+ovLrPqrPEnDlz5syZM9//eaSfy5aqGs+cOXPmzJkzZ86cOXNHzJkzZ86cOXPmzP88eaQsVlakdVMug9oPXB6uoHEW5ZK545kzZ+6QOXPmjt/7PFzePJjMmTN3PHPmzB0yZ87c8cyZM3fInDlzxzNnztwhc+Z/7Nyp+xmrZ2wrzMzt78VwRTeOJEmSJMn9z3BFN44kSZIkSZIkSZIkSZIkSfLPycoy7zNkfydV+aw6iqIoiqJ+M/HnMkVRFEVRFEVRFEVRFEVR1P6TeoasqWupaVpdDdQByIOeVUdRFEVR1MGj2htW/eb/f+ARc+bMI4s5c+aRxZw588hizpx5ZDFnzjyymDNnHlnMmUfKRRYTUhOysofV87dnNidkKYqiKOqgVvrGVWIZ3c91kiRJkiRJkiRJkiRJkiTJPx+lgjN1hWxQd6ngIY72V84rZCmKoijq4FZtNSGrFe3Pd+bMmTNnzpy5I+bMmTNnzpw5c+bMmTtizvxQzSNlritkLVmxpQPveYUsRVEURR3ccq6QtbT//3+Ant4RPT29I3p6ekf09PSO6OnpHdHT0zuip6d39Hv68CymrCwklqqus9+BOc05IUtRFEVRB7PsZ8hG8XOdJEmSJEmSJEmSJEmSJEnyT0epCFnYM2QrxH8x/l7MbTJnzpw5c+bMmTNnzpw5c+bMmTNnzpw5c+bMmTNnzpy5N5eKkNlXyFqy+liip6d3RE9P74ient4RPT29I3p6ekf09PSO6OnpHdHT0zuip6d3RH/o+IAs7ApZkiRJkiRJkiRJkiRJkiRJkiRJkiRJsjqUCs4O2DNkS4pLUVpWhvLyClHKRSNF/fEVGxsrSgwS4uORmJQQ9flQFXm+VE8Haj9IlpQc/PviQL7/IJaWlCEUCqEsJD6PCvG5iFIhCkX9noqJiUGsKKKC+LhYxMXFISExvsrjmSRJkiRJkiRJkiRJkiRJ8oBQKkIWUxYKVci6lnOPY93Hfc9jqarz4uISFJeUql+UJsTHIV6VeMTKTvIXp/KX+AeK6iWIOkUdAMkJurKyMlFCqshJqaTEBCTJCTGl6p8/Ec8XdcJQQYq8HxLDPt+qPn93XlxcJvZFyUG/Lw7U+/fn5aFydWyWlpapCWC5jfj4WPH56Mlg+TlR1O8p+UcB1h9OiP+XUX9MIX1CQrw6XmPjxPFq+lb3+GfOnDlz5paYM2fOnDlz5syZM2fO3BJz5syrynUtwtiy/XiFbGFRMUpLS5GSlITk5ETR+DuJEwXUb6CiohIUFBYhMTEBKclJVZ4fftrnS3Ly73u+/MG1r/tBsrDwj7sv9sf7d7O8ohzFxaVqcis5KVF9HnJClqL+CArJPyQoLkGRKPKckH8wExsjjt8oj3+SJEmSJEmSJEmSJEmSJMm9plSELOwZsnrWNkLvSnI5IRAqK0PN1BTExctbBop2OTH6e5OiDqDkVVn5+YXqVpk1UpIjnh8WrVydL2KsOl/EWGrf5N8PVX3+7vaCwhKxL8x31x90X+zL+3ezTHwOBQXFYj2xqFEjGXGciKX+oJITs/p7tlwcy0mIj4uv8vhnzpw5c+bMmTNnzpw5c+bMmTNnzpw5833LpSJk6gpZS1YWSRFyeSWVvBqlVmoNxMbpzR0MiuFkAvUbSP7CP2dPnro6UV6RFVHm/LHPl7RUNfFF7R9VuR8Cvr8OpX2xN+/frVB5SE3GpiQnqtsfU9ShIHl+FxUWo0aq/AODSv7goorzg7kozCOLOXPmkcWcOfPIYs6ceWQxZ848spgzZx5ZzJkfrLnJ7GfIyn57y9zcAiQnxqvbWx5UklfI8ipZ6jdQUVExiopLkZZWI7rzJSkByfL2stR+VXX2g+SeQ2xfVPf9WywtC6nbNsurhOWzcynqUJJ85nJ+QRFSUuSVsnFRnxckSZIkSZIkSZIkSZIkSZLVoVSkLFYuVae9ZElxKWJjY+zJWJW59Lv6igrxz9+Dova/5ISePA/k+aCOOLEIon2+cDL2gCja/SAX8jmph9q+qM77txgqL1fPoeVkLHWoKj4+Hqk1UlAkb08ujveg84AkSZIkSZIkSZIkSZIkSXJfGdRmMVZOzcrZWU1tquNLy8qQkpSgJj7V5KfhweJjZBtF/QaSf5Qgzwf3+WH+2V7mB92V5IeYnP0Q/vm7vbwq9FDcF9G+f8vLK2PlbYo5GUsdypLHd5L4fxV5vLuPf/GPnp6enp6enp6enp6enp6enp6enn6/eHddWo/3PEN2L5SbV4C0GsmIlWuWtweWE6AHGWPi4/WLpagDKHEuIS+/EGk1a5iWcMnzhVciHlhFsx+kDtV9Ee37lyopKUFZqDyqvhR1KChPnPfyedGJifzDGIqiKIqiKIqiKIqiKIqifjupZ8iaupqttY1QVV5OdubsyUcd+bxCOfkpm0TRNa3f2yvFcfKLOvAqL69Adk4uatVKVeeDPA7l8WjLOl/S0+zzhdr/svZDbbEf1B9lGLn3h7x6fs8hui+ief9SFeXlyM0rVP1iY2NNK0Ud2gqFQuo53jVrpiDGddz7zw96enpH9PT0jujp6R3R09M7oqend0RPT++I/s/rI2XeK2Srs0ah8opy9YvNurVS1QSHnNhQFP9ViP9s76f4b/dbbyP7wwlife4NhCux2ZFo8tpLYeOrWr8n5xWy1G+kXbv3qKsN1QRXpPOlTi3TQh0oqf2QJvZDjGui0bU/5PfCntz8auyLbGxYuA5o0xHN6+qWks0ZyNhRH+3aN8DBdq2dfP/qDwPUmzbyHY9FxcXKp6ammJbqKWfPHmzduh3HtGllWn4DhYpQWJKAlBT+kc2BVfjxfihJXiUbI58fneR6frTv/KAXhd4RPT29I3p6ekf09PSO6OnpHdHT0zuip/+z+giZ5wrZ6qpcXmGVW6CukK2utgy9A6k9uiOpzdGmJViZ9z2EJm+9ivjDDzct1Vd1JmTVJMsvNdGmSwvUNG1/NOn3UGpcgFKaHJSTSFVLTxJkGReker/zBII9ERhwxaF1vlR3QjY7OxvLli0zrmqlp6ejffv2xu2d5DH05ZRF2FooXR2063sWurRKV5lfeWvmir4r9X5JaYrTRN+2TRJUplSYieXLNqNm0L7ZtR6LV+WhUft2aKzmBSvZx4e3RKcIr8GvyvaDVPX3RQZG9XoI+NfHGNZJt2R9ci/6zzgdk17si3q66aBRVe9fKjc3H2k1U9XtW6ujktJSvDVmHJ4f9Sp27tyFCy/oh/vuvh0tWhxpeuytcrDp+y0oPrwFjmqcbNrcKsLyz77AN7vT0OncM3FiHdNMHQCFH+8HQiW/rELGZnEcNmmH1ke6vjMqU4n4jlixDnk1W6J1i3Qk7sXcfCgkzv88sd20VNNCURRFURRFURRFURRFURR1YLVPz5BVkxp5BahTs/pXWG259a+o85erkXJSR5QXFiI2JQU7Hn8a6ddcibi6dZSX2nj+QDR5/WXEN6iv/N4oJiHKX/QKqUmWUS3x2swb0Na0/dGU9cXTGP7eeuOKsWVzNkpqN0Bza4a51QCMfOisfZxEysbsR+7FwlOfwL19Kp8kW/7GzXgGf8WY69uYlr3VKoy76nl8aRzydmF1DtC8SV17cvmcu1/BoHbG7K0yxmLI08Bd/x1c7WNATYRZV8j6ZJ0v1ZmQ/fXXXzFhwgTccccdpqVqnXjiiRg1ahS6d+9uWqqhUD4Wv3wXhn+yC2kt2qF3+wZIylmHSfPWoV63OzDygc7OcRPahEl/H44nFot90L4zeraoieJtGZi0MBNtrn8SIwe30Ptl2xQMH/w6mgdN7ix+Haf9bR3uHfsE+jeUDXoiaIL7eLXUI/pjqLL9IFX9ffEHnJCt5P3L58wWFhUhvXaaaalacsy4DybgmWdfweYtW02rVlxcHAZddhHu+dswNGrYwLRWV6sw5d2fkNeyKy45LfgPcLIWz8KcbfXQrc8JqM+LZA+gDvCEbE4Gxv39MYz6JRWt6yYha0cmco88H689OwStK/lLqBLxfXHj/dORVbcu6hXuwoaUs/Dia+Jn9V789VR2di5SUpL5PG+KoiiKoiiKoiiKoiiKon4TxapLZU2JcdWj9rIqK6IoiiAqL2vGb7vzHuRM+B8KFy9F/qw52HzjrSjbvt3bTxTP+Gr4P5vq9bkbY/77iil3oL9o63T1w07bPk/GShUjd0cmdhYWG1+J8jKxOq/EmH1RGwyy39crGHl1S9F2Fu5zte3zZKxUST5Wb843Zi9kDjv78HP7auqDDz5Qk7EnnHACZs2a5SlHHx18dfn333+Pvn37Glc9bRh7L4Z9VgNDnn0Tk0Y/gGHDbsCNDzyBSR+I+gXtXMdNPhY+MRxP/NIJD4/5AGOfvQM3ir7DRryAqWPuwZAeZjJ2L+U5Xq1SzQn9wM/fXQ5xVfb+y0IhJCZGv4c++fRzdO7eF3fc9Y+wyVgp+VzOd8eOR8dTzsRd9zyM3dk5Jtm/qtfpDFx8Lidj/9gqxfL3Xsas9g9g6sQ31bktv18G7JiIhz+y/pAoQIUZePWxKah3/QuYNFZ8H4x/AcMPn46hoxZhb366JCYmqPMg6Pygp6enp6enp6enp6enp6enp6enp99bHymL+8c/HnpYVF2SF8zKNJKcXD6HsaSkFEkJcdIoL3PFKnze518iuf2JiG/UUDYh579jkXpmTxQu+la1pfU/V/XLef8j1DyvH2JTa3jGi0XUPiYu+t/eF66cgXHf1EH/azpBX5O7CbNHzUbeMW1QY+N0TPjP2xj31VaEGrTEUYclAtuWYMKro/HuZ8uRnXY0jmvivdWmvPXr5x9OwLjXJ2PxtiLUOuJo1PffJVGu46338e4Hi7B29XIs/maJKhuSjsFxDfWkSd76uZj05n/VdraXHoYWLeogMao7jW7HN2/PRvap5+GcY8MvI8paPAWfvvmueE9rkJ3QFMcdoftsmTkG42YUodGJTZFmtlOyYgpGv/8Tko5Kx/bvv8Y3XyzD8t3FyF6zDIs3JKJNW/9tkOXtZ7/FgjmLsPiXPQj9ukq8rwI0OrUZrOvyrO2/9uVPKIxphCOPrBXl+wraVy7lbMLCj9/F6Le+RMavJahzVEvUk7smLwOTXp2I1TWOQZsG1qvNxMI3xmFGdgO0Cq3B4vnzMfXHTSjeswmrxX7Ird8JzaO8PWphUTGSEhPECRZ+DsnjUZ4vKSmu5xZWoQULFmDatGlo3bq1mph9//33sWHDBlxyySV47733sG3bNtPTKznZdt999xkXpXLm4vm/T0X9W57APWf43nByAzS2Py+hFWNxx0u/4LxHnsTgY33nV+1GaOy+8DRvDaZOWIL03pfh1MamzdLWJRg9bTe6DzgLbdShV/nxGq3kfpATLuH7QX4n6GdLV29f6NcF13tQx9/6Zhjc72jYN20PiWN+9mR8+N4HGGOO6VYtakF+QiWrpmP0uFVIO+Fo1HNftL9LnP9vzEJhs3ZoLN9ySSaWT5yID94dg08XZqGg1hFo0zDoFr6RVdX7Ly4pQWJCvLqytSrJZ8We1WcgsqOYZJVXHi/7fjnS0mqiS+eTTGu0ysKaH3aipM6ROP6I4FvJ5q74BnNWFqJ+s7pw9lwpslYsxbff/YSFP27EruxY1GuUjiTre6RkB1Z//QMWLv4Jq3/NQqhmfRxe03rfW/D9tJ+wp24TpO/5CQvm/oDvftqIrKKaaNIwFc5XUQi5a77Hoq9X6G3sCiGtQV3UsD8+kW9cgW8XZqjx23f7XkO0quT4UcrJwITXVyNdfIeWLByP0f8ZrY4R++eRS/JW4pPe+xjvjpmBFXticEQL8b3r7WK+Jz/Ah2+NxdTluUhreZw+Bt3He6zrZ1yNI+2fEW5F+jkSrDjU73ge+p8sfl5Yn09yIzQonY3R39bDhe7zyaWSBWNx16zj8Y9HT0d9OS62Jto0zcfkl5ah0YWno3n1ThH1HVBWWoYEzx009PkRWcyZM48s5syZRxZz5swjizlz5pHFnDnzyGLOnHlkMT948wrz+2aZW0UuPN7Q9mLh8RLyP8EYQ8v76cotZT03CrtefhU1TjkJ9W65CelXXo6ipd/j10uvsPsFjQ9khHzftBsZn8zBrHcewqBHFmFn7aZI++VTPHz7c5j0xesYcvN72JDYAI0Kv8PIv9+JMSvMMKEtnwxH7xtfx+KSFjjnks5I/GYMbrzqOSxWz+XUKln2OgYPfhGr65+EAZecJNY9HWOmrUSuyaW2fHIvzrt5LFY37YEBZ7bAzo//jhtHZezVVUGO8rH8+WvR/x/TUXzSBRhwUioWP38bhn+SqdLGpxyD3PHP4bWZ2crLScsvX34dsxPboG3Cdqz67gesqnJ+Jg8bvstAxmZjPTLbv38iVjXpjsEnAbNH3obz7pyCLSHTZW+1eQqGXzYcr/7cVHzuPdB81xTcKPbD8jyR1WyHdukZeOKxj7DabKdk8USMHJ+J5u2bYs/6xViwYpMO9lb64NNFyu/3UvJZso888ogq+fn6Ct7LL78cDz30kF2uvvpq1b43Kln2HaaiI/r3qvqWsxsWf40ttc/EOZ2ivx34b67Az18s7Pp+VskSjDr/Jgz79FfUE+dU/1aZmPDYbRj6gT6eEhsmiXN5DCYt9j7fOe+bTzFyZgnS5F16f5mCYeffhhe+K0HzMy9El8TFGHnnTRg5r5JnQkeS9R6t96u8WIh/5eLnQmXPl3Wrdq1aWDRvCj6d8E5UZfL/3sWwW643o/evSrJ3YdP2bNd3XwFWT52KT5dkIiu+No5rnIysX5Zi2rc7dJy7ClM+no95W8vRqMURaBSXjcXTZmDhJutLJhdbMndh7ZIZGDfnV+TGJyOlQqwzYxGmLi8yfcR2f5qPTxdtQnbNBmjfoh6wQ6x3zjrotYSwfcE0fDR3I7JEfmyTNBT8uhSfTlsF66u+5Kev8O67kzD1J2edYari+FEq3IQFn3yEJ26+CkPe/xVJDY9Bo7y5ePzmYRi12LqqvxSLR16G8/72OTbUa4cBF7TE1k+fw8DbJ2KL6aEkvifvG3wbHpqbh+a9L0QnLMS9t4/BctcPlg2fPo0hd36OLfJnXCgDo+6/S2zHfSxW/nMkogL+DqCkQHxBV/L3ARtWLgHaNBX70DRItToGXZCB1ZVcWBtJ8v8XQuWy4irm/HC8oe3FwuMNbS8WHm9oe7HweEPbi4XHG9peLDze0PZi4fGGthcLjze0vVh4vKHtxcLjDW0vFh5vaHux8HhD24uFxxvaXiw83tD2YuHxhrYXC483tL1YeLyh7cXC4w1tLxYeb2h7sfB4Q9uLhccb2l4sPN7Q9mLh8Ya2FwuPN7S9WHi8oe3FwuMNbS8WHm9oe7HweEPbi4XHG9peLDze0PZi4fGGthcLjze0vVh4vKHtxcLjDW0vFh5vaHux8HhD24uFxxvaXiw83tD2YuHxhrYXC483tL1YeLyh7cXC4w1tLxYeb2h7sfB4Q9uLhccb2l4sPN7Q9mLh8Ya2FwuPN7S9WHi8oe3FwuMNbS8WHm9oe7HweEPbi4XHG9peLDze0PZi4fGGthcLjze0vVh4vKHtxcLjDW0vFh5vaHux8HhD24uFxxvaXiw83tD2YuHxhrYXC483tL1YeLyh7cXC4w1tLxYeb2h7sfB4Q9uLhccb2l4sPN7Q9mLh8Ya2FwuPN7S9WHi8oe3FwuMNbS8WHm9oe7HweEPbi4XHG9peLDze0PZi4fGGthcLjze0vVh4vKHtxcLjDW0vFh5vaHux8HhD24uFxxvaXiw83tD2YuHxhrYXC483tL1YeLyh7cXC4w1tLxYeb2h7sfB4Q9uLhccb2l4sPN7Q9mLh8Ya2FwuPN7S9WHi8oe3FwuMNbS8WHm9oe7HweEPbi4XHG9peLDze0PZi4fGGthcLjze0vVh4vKHtxcLjDW0vFh5vaHux8HhD24uFxxvaXiw83tD2YuHxhrYXC483tL1YeLyh7cXC4w1tLxYeb2h7sfB4Q9uLhccb2l4sPN7Q9mLh8Ya2FwuPN7S9WHi8oe3FwuMNbS8WHm9oe7HweEPbi4XHG9peLDze0PZi4fGGthcLjze0vVh4vKHtxcLjDW0vFh5vaHux8HhD24uFxxvaXiw83tD2YuHxhrYXC483tL1YeLyh7cXC4w1tLxYeb2h7sfB4Q9uLhccb2l4sPN7Q9mLh8Ya2FwuPN7S9WHi8oe3FwuMNbS8WHm9oe7HweEPbi4XHG9peLDze0PZi4fGGthcLjze0vVh4vKHtxcLjDW0vFh5vaHux8HhD24uFxxvaXiw83tD2YuHxhrYXC483tL1YeLyh7cXC4w1tLxYeb2h7sbDrhraPMROyctLWKlLV9VZFXpWqK2oZxrAcOOyOYTj83r+h4NvFyJ3yJXI++hg1z+yJIz98T6QVSG57HGISzaRPtddvcV+1Hgvz+mLMf/UtXO99dij6lyzByCkN8Pj4kRgub9X6r3twY+1szF7s/PK88dkPYvLEF/DwLX3RpVdfDFPj5mLSPOsX5/lY8P4UlAy8B/de1h2dunTHoH/egQF521HvzBswoH0q8MtEPDwqH8NeeUX3Ueu5A52+eBpjXZO/1VXJvNcw9It2GPnBSAzp0xGd+gzG409egtxRr2O2nGit2Rk3DW+H2SPfEu9d9J8zFiN39MV9V7cBarfDgGEXQN4duFnPAepWtTde1g7h10Q1Rc9hA9Cziai2v0D3G9Yd8gJDtf2JNTFcvK+H/3IWulx0C0Z9cDf6r3odD4/flwnRTZjwj9eRe8VIjHnofHQRn2n/u/+JJ9pNx8PvrVI9mg++FTdiIp4ZK7Yjn4P68nQ0u+UG9Kwr99kNGNKzqejVDgPV6xXtLdSw6CUPO6tI+f1eSE4eWOzRowcuvfRS/Pzzzxg8eDCuuOIK9OzZU03ODhkyRPXbG+3cIT/3BjistvaVKWtrJtCkwQF7dmrWugwsXrjEKcsyq/8HCJE+f3d9fyqxI/7y3zcx6d/iHBbnVO+/PILHr2qA5e9Px2qZ1+6Mc3qVYtLcxa73ko0FMzLQuE8XtJYTTUeejifGfoDXRgxB/17m2O1WigmTF0H+PUG15H+/xlfI2diKcsTGRTchK9XqqBZoffRRSK9dC11PO0WVY9q0Qu3aaY4/5mh1ZWznU09CQkK8GXlgVbLsa8zbXo5G7c/AxWefhBNP6YKLB5yLC06Ws9tFWP7VT9hasxUGDeiKTiceK74/z8SZR4Tw0+IfXX/0UoSsogY4b0Bv9D27K/pecCJaJ4awdYvzPbRh4y6U1GuNC7q3xbEnnoAeF/TBlb1a6vnDjYsxY10Irbv10Xmnk9C3Tyuk71yNhWrHA8UFpWKfh1BYUMkt3qs6fmztRvNLRql+6jbhTz6DJ3rlY9zLM8yEawI6Xf8qJo9/AsMHn6W/2/85EK3Xf4Sp9s8M/T25oNUNGPOi3J441oaPxNSxQ9DWdRXt1pTTMdL83Bv25P0Y1iQfExasNGkUP0eiVWgVFnyRj7anuW+L7lVJofi52aKpN09JRSJKUbwXf8QTp47/cnM+iKo5P/znC72rSNHT09PTa9HT09PTa9HT09PTa9HT09P7vZQv8zxDdq+KS/4rUv3Xp4bnWnvGf6wmXne98jriatdGwcKvEcrapXo3GPEI4tJrI5Sdo3z11u/N90VdendGPevKnJot0LoJ0KnnqWhstcWlo55oW5212zQI1UyHfWfMwnxkbRNNok9unjW1kifqQLNG6cYLpYh1t8rH1m160nbDnClYflxf76Sg3L7ok7HGunq1uirF4tlzgT5noYt7FrVFG7RzXW1U8+wbcF+bRRj1xli8+vIi9L9lMNqm6GzfpLdfcsolOMfzvjqj//mpWD55ETaYpmpr/SJMWt8G/c+Wk6qWUtH6+JbYsmIdsqSNa4PB9/ZF3nsvYcwbYzAKl2DYuVVfFRq15GEXqeyj5C1mH374Yfs2xlLPP/88zjjjDDz55JPK7612bQ2fCF/+/MU4rZdV7sUkdYfkbGSFXfWciUlD3X1fx3KT7I02zJuAUS+/7pRPMzxXjUeloM9fFPVnG7J+AFSzrrnVbqgUeTmbUBJfH8iRk3FSCeI7ozswZyEyrEsnd32H2YsbYFBv6/m4qWIdpirXsW07imuLY1N8Z0TxtGav3O/VVWRbeXkFYs0kf7S67qa/osdZF+LXTXra76Zb70LPsy7C+vW/KH/rsHvQq/fFWP3zWuUPvIqwelOO+NCboktb101u4xLEeSJYsAYbxNdxo+bHwvnaikOjemniSzgb202LVL1mbZFufVejKerLW26XFNkT52mpCUDWesxbnWOuihWdTf+tG3agMKUBjm1ur0AMaIB6KSFkZekrddM6nY5B5/bGeZ0q/2uHyo8fS03R+jjXzwxxzHTq3ll89y3EcnNhMGo7P3tK8vKxJZSIxshHrnXcqe/JVAy5vq/zM0zKXRfy/NwT223TSawvJ9+8nuh+jkSjDWNfwmuJfXHb+e7v7ei1YXP1fxbKK8TleRB0jrCwsLCwsLCwsLCwsLCwsLCwsLCw7O8Sq5+3Koyh5f2MlEvJurzKpLxCXm0iiseLekDuHlf/sUdw+IP3IaXzKahz03Vo8uZriK1TR/cvCyFzxFPYfMMtKFy50h5f1frd+f5XAhKjuIpQPg9w+QfP4caLLkPvq/6hJpU2eC5za4A27dKxcMbXzm165bNi1zRF61b6F/N5WZnAitfR357okuVmPCGvdArJKZoMjPJk1qRZZdqFnaJPycSHXONkeQjjPFcbNUDvWy4AJo7HuCNvwE09gp/rqOWfkLsYoxabKEx6+2iYHnZVbb1GTYHNu9XVgFmf3OtZ32nPZ+hOlWnXbqzGKjwx2DVOlP6jVonPy/QRSmw/GDd2WoXXPliFIX8dCPdcyj7LdX5YFBXNfVBycjK6du2qJmStWxZbOvLII1FUVIS3337btFRfjZq2FEvv1WZtb/ovpn4iyiuD0cm0AeloLCfSS0Rf3SDUAOc8afo+0N20Ra8k3+ff6eqHMea/rzjlobOqfzVuwOfv2S8HQCW/zMWYO69F73OvxdBHPsLsla4/0BBK7NQF/bEIs81tX/O+mYvZLfqii+sPE7KWTcTI665Cz/Nvwr2jpmDxL9W+NlbL9X797z82NkZNRlVHOXv0lPgucY5JZWfvUcwyfk+uNz/wykWuPACTa4gjMkA5ReqWwVuXTcKb7/7PKct2qdh1mAeruMj+I4BGp52OHs1iseGbWXh73BeYsmgjcs0KcgvFvizchE/d23h3Pn6SG7c/4gSk1Knhn+8MU1XHTyQl1tTfpPa5m7cJC19+CIPPvQwDbnwa42asxE4TKanvyaaoJy8krq627TafSxQ/Rxa/7s2GTtF/FONSiehz31t5GHT33v/BT/MmgUdAdJL7yHd++Mnc65l7ydzrmXvJ3OuZe8nc65l7ydzrmXvJ3OuZe8nc65l7ydzrmXvJ3OuZe8nc6yvLK8ti1VWkcnbW0PJ+GmN7p11DXmylrKhoWl4zLLckTFzNVJXX//tdSGjaBHFpNXXnUAjbn3gaFTl7UPem65D59wdRsn6DWY+1Ps3Ktv/7KB8Ln7gJQ2fUwW2jP8DU8SPx8HBz+16XWl8xFAN+GYMh1z2GUY/di/43f4TD/no/BhxpOkidcgemzvwYC3xl5EXyqs52uElOgtnlAZwT5S/ZG1/2RNg6ZRlmz7yJ9/DRp0CbFmieMQMLKp3odU3ImXJTexNFUkn4czGLQ861YPXOfcCzvqk3yZskR6OOePyT8Pe14MW+zqTe+ikYu7gFOrUqwdTZ+/o8Xp/UsacPQOc8sVg9qZPWsGHDhpg9e7Yq6enpKDd/fCB55ZVX4v3338dVV12l+u+N6rVpg8ZYiAz3rbBTUlGzti6uO5mi+fEdgTWLsVzPbSklivNY9/VNs9euo29TnRe+v0vU1eIt0XhvJoaqUsDn79kv+1vrx2PokLewtfc/Mfmz/2LMs3fgxot9x2xKZ5zTB+a2xfn4Thx7bXt3VJ+PVMmc5zDg73NQ75ZRmP3Zmxg14hZzC+29kOv9GuPysfax9YdXpW8jDs1PuRDXXukvp0NfXx6l4tJwVPfeuPLSM9C7dRry1i7FR5N/gH1dZlpLXBK2jQtxyWnVOLCjOX6iUWgTJtx+G0Zt6y6+Bz/ApLGPYLi5xbxX4luvylnpqlXpz5H2Q7zf4U96/7CiZNV43Hv/dDQa9oToX9kf/AA164mfd2s2eSd0d2zCBqQibV/u3BBwfvhpjO2Ze2mM7Zl7aYztmXtpjO2Ze2mM7Zl7aYztmXtpjO2Ze2mM7Zl7aYztmXtpjO2Ze2mM7Zl7aYztmXtpjO2Ze2mM7Zl7aYztmXtpjO2Ze2mM7Zl7aYztmXtpjPKVZbF6alY2CilW12vZv9u3Kj4flluKkFeUlmHH40+jOGM5yvPyULppC+Jq1VJFd9CINN6f/+YqzMCCmaUYcP0QtLVuQRqgLZ+NwcKzH8HHLw7BORffinETP8Dj5zu3z1UTX8u+Q0YlF8klmgkze+Ksyqs95ZW5qdjyTQY2VPIL+ZJv3sbIxWfhvmf/iWHd1uHx5+dW+hxLZ0Kuqteht4+FP2C1Z/vZWP71euCUY9Bc2kTv+mpG80v3VsegNzKweJn3ClKPQpmYNHIs0m66G6PuvQQ1P3lun57HGyb72DMLj987zZ07F/L5se6ybNkykwKPP/44rrnmGuP2Um3OwqAW+RjzxhTniu0IqtnlLAxIzMCYd6KYzE5piuYtgEkL3M9OlSpFxoJFwHFN0ci07FcFfv4uv5+1Yd4MLG91Ia7p07TSc7DtmX1x2JwMrM4Tx+k3bdC/hzXhWorFYj+X9LoCQzrtwxV/lvzv1+VjxTe/nMivjuTzY6Xq1NGvrU66vk1AnTqa6cbXrVtH8cDrcDSS9xnO3om1Qcdro7qoFxdCZsCtuPdaibXRtFNXXHKCeK+527B2t9hMvRqivgMbq31Pba+iPX6CtPrrr4DabdCmoTC/yNsRt8Cgm85Cc/dfUbilvifXY2HG3t72XiqKnyNxCd7v8JrmefBSm6fg3ts/Aq54Ek+oPy6qXM2P64jEFfK8MQ1CJatWYnHi6TjJuuP33ijg/FCi1wt6LXq9oNei1wt6LXq9oNei1wt6LXq9oNei1wt6LXq9oNei1wt6LXq9+KN7G+FZrDU7q+SarVWKyovVqElPcylu1F5VDLx5eWkptj/2BEK7s9XtiytC5cibOg0NnnwUcfXqhvWvyv8uSklFWiKQ8aN5kF4oE4tHPY2Rvok/9dzOwnw1adX6uKao6fsFes1el+DG2nNx7/3jsTrHNIaysXrx+n26qrP1JTei9+axuO/puciyfplekonlyzJ1vTADY0bOQdtbLkFb8V663DIUPZe9iGemWb/Ar4/mxwGLf1yNPDk+4gReA7RolSA+CPNLe9NPbb9wIh62th/Kx+r/PoXHF6fjxqu7h93KOGrV7o7Bl6ViwhOPYcIqZ1I2b4Vzu+isz57HyB3n4yY58d1iIO66DHjtkTH25HC9I1siERnIWKV9ta8iq+J82d965ZVX1LG+L7crVoprigH3DkbrVa/jrkcmYvkv+SiR771wE5ZP/gqeO1DX7Iyb5K2JJz6GoaPmYsM2ffVrya71mDp1oao7aopzLu8ITHsNIz9ZhSx54JaIY/iT5zByGjDgktOrfzviaBT4+bv83sh/LLhu25xWOx34ZS02mvM0b9UUPPH0FG3cOq4LzkuZji+f/woTOp2JM+QkmlKCWIc4V1attCe4sha+jntftQ7Easr/fl1ePj+ztKxMNUer1195FnNmfIojj9CX+b/y4tOYM/1/OKql+vMJjHruccye/glaH32U8nurstIC5O7O8ZTCwuCTsLn4zkwL7cDCL5Zju+pTitzV32DqIvkw1Zbo2KoGCn9dismLd5hdF0LJljVYuyl4fcHagW8mz8DCNdaMaym2Zou9HpeKenXEfu/YCs3jc/HNtG+wIdustyQHG1ZsVLdMVvanr/Duu5Mw9aci0xKuqI8frMOEd6Zjg7k6PWvmc3h4fAm6/KWvvuq3pnhd2ITV1vdfznpM+sdzGKedVu3OGHhROmY//xQmrDDf6eL7f+HL47HcetFRqMqfI5G0eQqGX/c6Vne5AcPPr6+eS5tnivrOESpZ9joG97oWry0zV9a374thLeQzzZfonzk5S/Cq+O5pfNHpaFvNCWyPAs4PJXq9oNei1wt6LXq9oNei1wt6LXq9oNei1wt6LXq9oNei1wt6LXq9oNei14s/urcRnsVWoELOXcrpy72ikpz4VMVdj8JLub38V1KC7Y+MQEVuLuo/+hCy3xuH8j170OCpEYhv0CCsf1T+d1E7nDe8M0o+GK6fnXfuw5jadCieON/ERm0vHoJGXzyN3me7nrPX6zIMvnOsvhIorg2GvPYIbsKnuPEik599E56ZshY792VGtm53PPzaLei06kX0t7Z9/l146+vt6irY1W89hzE1L8GQXuZKPdF/2C0tMXvkW1ioJjYb4Jy/9EXjmc/p1z5wDFarjuFqe8kQdNk8HoNlv7Mfw2w54WC23y7DbP/sqzDk/RLc9OwoDDlOj9tbtb5+FF67DBhz+1X2Z3rx09OxelcpsGM6Rr28Dv1vuQStzS/xW199B4ZgIp4Za66ka38+hrfLxKib9diHZ1ZytW2Q1KGnj7/A86Uaks+GPfHEE40L1/3334+ePXvaZfjw4ahduza6d6/+c1yVWg3Ea6/dgS45H2HokKvQU+6bc2/D0M+AIU/eg/725CFQs9sdeO3ZS9B48YsYPPgy9Vn1HDgcz6xqh3tfGYy2pp9UzbPvwJhh7bD+jXvRv49YZ59rMeSNTeh090gMr/TZxPuggM/fw2rpCLQ7JQHj/j4ckzbrFnmL5+ZrxmDg00u07zVETRgNN+fpxc9nove94thXqUvinO55cV1MmLkIPc88yfPHB20vHor+hZ/qc0V8Dwyf2hT33d3XpNWU//26GBcbg5KS6CdkV/y0Gj+vWYfs7BzMX/CNKqtWr0V2zh7br1y1Bjk5uapeUhp+e+poJSdQP/pslqdMXuq6N7ZbjTrgvC5NkZa/BpMnyGfFfoaPvhV9U/XJnX7yGejbqiZyV87H2+rZrpPw7pw12JhboPKoFEpG/bqx2PD1DPN82M8w5RfgqI4d9JX8cS3Rq09bHIVMzJxsnlf74SwsXL8Lct5WqrigFCUIobDAeeqyX1EfP2iKTrUz8PhVul9/cfy1vulJ8bPFXGV6+Om46aqm+PIx8/03+EVknXcH7vV8ryag7S3PYtT5JXh16LW6X5/b8OqOVNSszlx1FT9HgpWJSU+8joXi51fWnJcx8KKr0NtVXjUX/pfs2o0tyEfWLvODTv7ByD/vQLtvntI/cy56CouPuwPPXL8vl8cKBZwfJEmSJEmSJEmSJEmSJEmSe8PKspiyspBY6l9KVpflFeXIzS1AnZREp1lUYkQloLsn33LbcNS55kokd+rgyYt+WI4dT41E4zdexp733kfu9Jlo9PTjiD/yCM/4sPVaDMhjk5PF8ndSqBR5eSXqdr7ht6HMxNTbb0PGBW9ieDcgz7oySV75c/tzyLj4BYy5yvX8yJJ81Sd4XfugQrHekr1cb7SvyXwO6pmkvquAS/LkVVGJqCmvDtyfsrYpb328F88YlFdtlcSJ1+W+zWYV2rV7D9LSaiA2Rl987j4QrfOlbh1z2+0oJW9N/Ne//tW4qtW+fXs8//zzxu2DzL6N6vMzx1DQ/vVLfa44APvbpcr2g/pKLK9Abl4190XQuSzfN7yfjzqe4/bumLOkPqMoPstIst6/vC99TKx44wHvP7+gEGnivcTFic+oEm3fvhPHt+8uvlvlSqLTPX8bhr/deatxv4VCKNmTh+JQAmrUqYHwr6JSFO4uQFlcEtJq7e3PA7MORNqGUGEucovKEZ9aG+LHoktybCkSI41zqdLjZ9sUDB/8FXqOfQL9D6/sZ4uQOn+jOM8q+W6ulvbl50gEleSIzyzg9avzYy+/192q7HuCJEmSJEmSJEmSJEmSJEmy2pSKkMWUlpVVyF/aW1KztOI/Py25261JjfTk6k+sZD78GMp3ZiE2LU35Gl27IO28vuqZsZmPjEDikUeidPMWNHjqMSQ2b6b67K1iU/bxt7YHSuqX6ysxeNod6OT5BXYmJt14Myad+QJeu8w1IUsd9FK/4K9ZQ02C+c8f+czOak8CUnsl/36wJPeH/Ccnx/PyCg/ZfWG9f/nW1WSTkfv9FxeXQj6LuGZq5d+PJaWl+L9b7sLOrAhXqQbo3rtvQ5fOJxtH7Te5J2RdV6tTeyfrPJG38Jayvq/9tMScOXPmzJkzZ86cOXPmlpgzZ86cOXPmzINyqYhj98cVsrWTEtRVqUpWbimCD+3Zg7wpX6JCbF765DatkdyxPcq2bUferNmqa41TTkJiy5ZRrc+W3wsdtBOyhRkYNfgxZPS6Bw9f3Q6NayegZNt6LP7oRdw77xi8OPoGtN3rh6lSv7XKyyuQnZNb5RWy6bXTECuvWqQOiKraD/KLz/5jkkNwX7jfv/zCj3SFrDweCwqKVb/4uP10SSN1YMUJ2f0qXiFLkiRJkiRJkiRJkiRJkuR+pVSETF0hazlr1taS44NzfdvLIqQmxEJeXxJhG78r5UzxQTshK7UjA5PeGY8JC1didV4iWh/eEu36XoAhl3VEPc6R/KFUWlqmzocaNZLUFVf+88c6X2rUSEZiQrwaQ+1/WfshVXzOajLSfP7W/pC33pVFTkYeivvC/f7lW49RV8iGv3/pi0tKRB36alrq4FdOBia8sx5trj4fbWubNipq7cnNR60055nVckK2prpCVp4N3v+/cbz3+8MSc+bMmTNnzpw5c+bMmVtizpw5c+bMmTN355EyfYXsXkregrWwqBhJcTHQNy3WKz+oGBeL2KQkUaeoAyt5LsjJsJRkPSHrl3W+JCTEqz7UgVFV+0HqUN4XVb1/61mwFgsKi5GclICkpH15gChFHdySk7F5+YVo3PAw0xJ+y2KKoiiKoiiKoiiKoiiKoqgDpVhrxnZvGRcbi+LScnPV1cHHGN6Kk/qNVFxcos4HKXH0BVKdL8Wl4thUljoAimY/SMbFxh2S+6Kq9y+fG+v2cjK2SHwOZWUh1UZRh5qsydhICjpPSJIkSZIkSZIkSZIkSZIkq8vKMu8VstaFpZaq8PIZhNKr27DGx0Lf+LMaKzjQXt6uuAZvxUkdeMmrDEtKSvVtYoXUFVe+w9F9viQlJiAlhVfJ7m959oP4/NWzIS259oe8Qlb6/PxDa19E+/7lH6xIL2+jLRUKlaOouAQ1U1MQH88/YqEOHfknYyNeIes6P5To6ekd0dPTO6Knp3dET0/viJ6e3hE9Pb0j+j+vj5CZZ8haqs4aRU1U5VWopSVlKC4pRe3EOB1b3XyMEVRXo/1GeUxSImIT9M2UKepASU5m5ezJQ1JiIhLEOSCvQJTFOUC1ws6XWqmI4xXc+03OfkgQ+yFe7INY9Z3gyNkf+gp6iH1Resjsi+q8fynreNT1CjW+xNzqWK6Dov7oCroy1j8hW7Nmirllsff8oKenp3dET0/viJ6e3hE9Pb0jenp6RygmLcwAAP/0SURBVPT09I7+zD4426dnyOpJDT1cXl1VUV6OmnFyxb+/YuLjEcNnx1IHWKFQCLl5hYiLi0WyeQanMyHrlf98kVdppsorEjkpu8+qzn6QOtT2RXXfv5T1/t2U6yktDSEmNgY1UpLV+ijqj6hItynmM2QpiqIoiqIoiqIoiqIoivo9ZK6QNbOz4j95H+Novf4nJzYEK8pRUlKGUFkZUhPiECtvhWm6/daMTUzgZCx1wFVYVIzCwmLEJ8QjKTFe3x5WHoNiIefBojlfSuUViSlJ6qpEau9k7YcEsR8SXVeGys9fffTm83fvD/n5S69uIy0oJ2XL/qD7wv3+k5Lkla3O8Sf/6UXw97n1/t2fhzw+9cRsGRLi45EsPhPrmbQUdShJXyErJ2Tl0R9+ftDT09PT09PT09PT09PT09PT09PTV8/LluCs8mfI+hWQu680kyssLQmhtKwMibExSIiLQWx5ubpKS/axhh8wxsYiJiFBFYra3yovr0CZOLbLQuUoLS1VE1dywiohQd+mWB6I8sSKeFWiaJbP7HRfkSivRpTnS6wYIyd25fM7E0Sp7MrGP7si7gd5u2j5IQvJzy/sM5RWf/RKnu8uuS/K9CTkwb4v9tf7t2R/BjKU/8znIq8aDokij1E5YaUmvEWRE95qAusg+1woqrqq9BmyfjFnzjyymDNnHlnMmTOPLObMmUcWc+bMI4s5c+aRxfzgzU3me4askHQyjCRf7p7QUJQTTuK/UFk5ykIh0S4nEPRzCinqjy75i3s5DyVvbRsXL+vOxJSiON7l7V4jSZ4f8vxxnzey8HypniLuB9fnb+0Xj+THbprDvrvkvhD7Rz5L9WDfF/vj/Vuy3r+U+/h0t8tJYPm5yM9DNvtzivqjynmGrJA8pANOG1vMmTOPLObMmUcWc+bMI4s5c+aRxZw588hizpx5ZDE/eHORxZSWhSrcub9/NF79hl5BTsWG+31dP70j+oPD25NdciIswFsKGs/zxdG++kifv+WrGl8uPnPprclFv69q/O/t9/X9W97/ftWxKIvLS1neEj39H9Wrc8ScL9aE7P5cvxQ9Pb0jenp6R/T09I7o6ekd0dPTO6Knp3dE/8f1gZn3ClkZu2yYgnPrl/VWbv0yP1x7t35HzJkfPLn8hb49EaYkvakGSo/3nxvO+VK97Yfrz5k7+8HJvfvFUvh4776Qt1aXV4BGeg3B23f0++T78v690u/fkvU5OJ+HMz74M6p6/cyZR9Zvm9tXxQrp+sH1+sLFnDnzyGLOnHlkMWfOPLKYM2ceWcyZM48s5syZRxbzyLnOvM+Q3QcF/YJetgX/4p6i/rhyJsC8Cp4ECxbPl33X/tgPUn/UfbG/3r9fkT4PSwf750JRVcl9jkQ6jyiKoiiKoiiKoiiKoiiKovanYkpLy/Q9Oi3J37VL76elSnL1i/pKciXmzA/B3P6FfoTclqu9Qi8i5lWNZ+6iUYw0leSRxtuTjBFyWwd5vrfv35arnceni5aYH5L53nx/M3fREnPmzJkzZ86cOXPmzB0xZ86cOXPmzP+cuVSEzH6GrH/8vhAV6lf5UfcnyT8qIa+ucvm9Ic+Xfef+2A+S9jNkfe0HO/fX+w8ij0/yUGasOHei6UeSJEmSJEmSJEmSJEmSJFkVpSL28T5Ddv+Lt7ekDjUdyNtb8nyJXgf6NqMH+774PW6zyuOTOlT0e5w/FEVRFEVRFEVRFEVRFEX9eWVfIWtJ/rqd3hE9Pb0jenp6R/T09I7o6ekd0dPTO6Knp3dET0/viJ6e3hE9Pb2jQ8kHZvYzZK2UJEmSJEmSJEmSJEmSJEmSJEmSJEmSjJ5SEbJYWVFPHyRJkiRJkiRJkiRJkiRJkiRJkiRJkiSrTXc9jLxCliRJkiRJkiRJkiRJkiRJkiRJkiRJch8oFSGznyEbkJEkSZIkSZIkSZIkSZIkSZIkSZIkSZJVUCpin8ArZC1FGmWJOXPmzJkzZ86cOXPmjpgzZ86cOXPmzJkzZ+6IOXPmzJkz/7PlETL1DFnl1D9NxBha3pC58cw1LW/I3HjmmpY3ZG48c03LGzI3nrmm5Q2ZG89c0/KGzI1nrml5Q+bGM9e0vCFz45lrWt6QufHMNS1vyNx45pqWN2RuPHNNyxsyN565puUNmRvPXNPyhsyNP+jzyBmfIUuSJEmSJEmSJEmSJEmSJEmSJEmSJLkvlIqQxZSWlVXI2VmnTc7P0tPT09PT09PT09PT09PT09PT09PT09PT09PT09NH42UtYl91hSxFURRFURRFURRFURRFURRFURRFURS136WukLXmZ0mSJEmSJEmSJEmSJEmSJEmSJEmSJMnqUio4814h6+4vRU9P74ient4RPT29I3p6ekf09PSO6OnpHdHT0zuip6d3RE9P74j+0PERMl4hS5IkSZIkSZIkSZIkSZIkSZIkSZIkuU+UCs74DFmKoiiKoiiKoiiKoiiKoiiKoiiKoqgDJHOFrCX3DK4UPT29I3p6ekf09PSO6OnpHdHT0zuip6d3RE9P74ient4RPT29I/pDxwdnvEKWoiiKoiiKoiiKoiiKoiiKoiiKoijqAInPkCVJkiRJkiRJkiRJkiRJkiRJkiRJktwnSgVnMSWlZRXBEUmSJEmSJEmSJEmSJEmSJEmSJEmSJFkVpSJlsbIiHUmSJEmSJEmSJEmSJEmSJEmSJEmSJFl9BrVZtK+QtRQ0a8vcEXPmzJkzZ86cOXPmzB0xZ86cOXPmzJkzZ87cEXPmzJkz//PmUhHH6mfIWhJxhbB2L2uYJebMmTM3lrkozB0xZ86cubHMRWHuiDlz5syNZS4Kc0fMmTNnbixzUZg7Ys6cOXNj/9B5cMZnyJIkSZIkSZIkSZIkSZIkSZIkSZIkSe4DpSJlfIYsSZIkSZIkSZIkSZIkSZIkSZIkSZLkPjCozWKsmrEVC5IkSZIkSZIkSZIkSZIkSZIkSZIkSbL6DGqzGFNaWlahp2ilRMW6x7FKXVRizpw5c1Flzpw5c+bMmRsxZ86cuagyZ86cOXPmzI2YM2fOXFSZM/+z5qYalKlnyJoWI0+vADFnzjyymDNnHlnMmTOPLObMmUcWc+bMI4s5c+aRxZw588hizpx5ZDFnzjyymO99XmGukLUk+zmOnp6e3hE9Pb0jenp6R/T09I7o6ekd0dPTO6Knp3dET0/viJ6e3tGh5CNknitkq7M+KXp6ekf09PSO6OnpHdHT0zuip6d3RE9P74ient4RPT29I3p6ekf0fxwfKXOeIascSZIkSZIkSZIkSZIkSZIkSZIkSZIkWS1KRchiSkpLJYSzZKWW6OnpHdHT0zuip6d3RE9P74ient4RPT29I3p6ekf09PSO6OnpHdEfOj488z5DlqIoiqIoiqIoiqIoiqIoiqIoiqIoitpv8jxDlqIoiqIoiqIoiqIoiqIoiqIoiqIoitp/Cn6GrCV/O3PmzB0xZ86cOXPmzJkzZ87cEXPmzJkzZ86cOXPmzB0dwLyouBjFxaUoC4UQCpXrxv2guLhYxMfFISkpAcnJSRG3r1TJ61NytX/8v88xc848LP9xFTIztyNUvv9eM0Xti+JiY9GgQX20Pb4NevXohosv6KeDahzfYXmEzPUM2YCUJEmSJEmSJEmSJEmSJEmSJEmS/N0pJ2ILCorUpGlKSjISE+LVJKpUTEwMKioq9ppScnK3pLQMhYVFarK3Ro1kJCcliaTy1xWJH3/6OZ565kWEysqQm59vb0cq+rWQ5IGjJXkepKWmIi4+HvfcNdRMzEazBj+lgjN1y+LgiCRJkiRJkiRJkiRJkiRJkiRJkvy9mZdXoCZJa6WlIikxQbQcWBWXlGJPbr6a/K1Zs0bUr9PiA488iSlTZyF3T65oEC3RDiTJ35UxSKuVhr69z8BjD/09+mGGUhH7OFfIWgrsJool5syZM2fOnDlz5syZO2LOnDlz5syZM2fOnLkj5syZ7+9cTsaWl5ejTnqaupLvt5K8onV3di5iY2PVpGyk1+dIezUZ+8UM7NmzRzdT1B9MtWrVQt8+Z6pJWUfRHP9SwZl9hayloOH0jujp6R3R09M7oqend0RPT++Inp7eET09vSN6enpH9PT0joJ8cXExCotKUK9ObXnxnkvSyB6WDoyXk7JZu/cgJTkRSUlJqtWS7O33n3z6OR576nnkZGfrRor6g6p2ejoeuOev9nNlg473SD4w4zNkSZIkSZIkSZIkSZIkSZIkSZIkDz7u2r3H3KY4MTD/LVhcUqJuX1y3Tq3A3M1Tu/dD1s4sUSsXVrTLWWQ7pqf/4/gY8V+9ww7D13M/tzpEQangLFZWZJUkSZIkSZIkSZIkSZIkSZIkSZI8OFhUXKKe4SonY+U8kWzXHcJ5IHO5ffk65OtRzWIZxI8/nYKy0lKUV5RBXlmr/lMsp6f/w/nyipA6nuVxXdlx72alfXiFLEmSJEmSJEmSJEmSJEmSJEmS5MHFnD15SElOUrcLlrJSS7+ll7dNLiwqRu1aNYWzEi+H3nkfpkyZhvJQqS+3FDzOEXPmB1ceG5eAvn3PxovPPh6Yh1MqOOMVsiRJkiRJHhBC/kWZ/H+OarKq9ZIkSZIkSZIkSZIkSf4ZWBYKITEhXrU4maXf1icmJKjXo9uszMvlP65CRXkZKtQklFxaLNfUvwBS/zF3k/nBmsvjWR7XlR33blbap6SktEI5uX51b2RRoaenp6enp6ffSy+bxo0dizdGv4Fvv/kGxcXFoqVqJSUl4eSTT8H1N9yAQZdfjphYuV4R7OfXR09PT09PT09PT09PT09PT/9H8Dt27kb9w+qoyBX8LpQvbbt4PYcflm6aRbvv9R7Xvjvy87O1p6hDQeL4Tk1Nx4plc8OO90AvFSGLKSktMz2czBI9Pb0jenp6R/T0kbz8S7J77r4bzz//nGnZO/31r3fgqaefFv+/ov+KbH+9Pil6enpH9PT0jujp6R3R09M7oqend0T/23s5Adrg8Lq64SBQ5o5dOPywOqoe9Hpbn9AVRfk5qt3KSfKPzuTU2lj9w3zlLVm5JbePlMXaM7bCqtpB6guLirBzdw6ydmWr+5RX1f+g98V7kLM7F3v2WFcNVWN8qAR7duvxxfZ8ejXGK/0GXr7OXXvEaxWvM7Qf1qfwJ/WhfOTl5qDkYN7fCtX3JeIHdH5+SdT9tegPel9RjvKsDFTkrNK+YBtK5v8VRR+2Q9EnXVG2YWLl4xXotf44Xk7Gjhv73j5PxkrJdYwbN06sszzq7WvR00vQa9HTS9Br0dNL0GvR00vQa9HTS9Br0R+U3tTk71wOBjoyTrRrOWm5/F1OebmX8neFQe3M7fy0mx7AS48NwWkRcssff2Z3tK0kD+TvmV9yG1567gHc1C1CLimK23e98QG8KD6LrhHyqsbv71wq8HgP9JEzdYWsNTt7MFK8PuQXFKKouMTTnpiUiLQaKYhPiA8cd7Bz+6d3oduDC4Fuf8f8l/vjMF9eKTMn4dazn8Q0dMHIac+gf4Mox/3W/KO8zt+Qxfk5KBPnb2CeUAM1khNQuuK/uPf1tWh3w/245rgEnWf8BwOeWIq+976KG9pFGP+H5FZ88Y+H8TouwH/+2Q+Hh+UHFzNnPYWHJgID778HZ4mTNtpxfzaW5/2K4i8HoiJvo3BAfOurEdo8CxX5vyK2wVGoyM1CRVE+ki/NQGxSetTrDWSoAJmb1mFTFlDnyJZoeViN6Mb9ybhDHLv/EMfuJeLY7SWO3WjHVZfyf1LOPLMX5s2bJ9y+q1u3bpg+YybiYmOj2j5JkiRJkiRJkiRJkuShRH2FbJ2o+x9oZu7Qt1COlMsrZAtyd4lasKx+kSTza6+5Av3P7aPumuZXZeOzc/bg3gcewbZtmaYlXPb47tfiiQHHI2fBcDz5oWzQUvmld+Dl02ohY8IjeGWubrcUzevf2/zmD77DQ21X4JHjr8Yrps2vits/wC93dQB+eBPNzn3StDo6kK9Paq/ykVOw7dLDMe+fJ2HA69GNj/RZ/C6vX6hGWl37ClmZV0apSJm6QlbNzx5kLA+FkJObp66ILZLPnvPlxUXF2Lk7G3v25CFUHoq4nohcMkp9ObQR5dZPdwb2+/HVgSpvfcJdmJwZnu8bxadvFJxXRreC8oOFbgXlByfz8vMxd8ES5BcUKL95aybWrv8Vazb8Gsb1G39FSWlppetzuBUznrobV910N64WJYxjM1S/zHU/YX3mVixZt9U13voY3es7FKj+6bemjD8/mFiC9T+tw/bMdchYL6/ojXbcn4+l3z6sJmPjW5+KmNS6KFv9jpqMjT+2G+KP3I74o9sD5aUonXM9ikUJbZnjGR8VQzux+L8P4fKr7sDN947CiGdG4a7b7sDltz2LGZu5f7wswbqV+tj9QRy7dvvutfhuyVrsrnJ8dLT+Yuzbb781Z/W+S67L/ku0KF8HSZIkSZIkSZIkSZLkIUMhURVFuL3kM8//ByOffyWsfW+oXo/79fkpVC5/lxOhqN/zVFJkfvuwmzH+40/x9DP/Div/CmizSr26ddCrZ/fA9VrF3n7rHrh4QH/0OyUgP6W3ynq19mZ2XkmJKh/yGr5ZORPvDvFl6tMTn6KrzV8qFi9Bxq49WP3dguA8oM1dfpdcvzGVRTs+0mcR7fhIZW9z82qc47wSVpbFqofJyvnZg4gFBUXYuSsHBYXFgbmbBXJiNivH3MY4PK+cWtM+moNN/rx8DRZ9slXlWr58nylgy90eDd0Kyg8WuhWUH5yUx9OGXzZjx85s5StUu4ilfNRPNpR5NDRqdjaeefVpvOMvg9upfk37PiL8c/hX3yNd4/XQ4PX+kSlgy91+MDIRp970nNo3fz05MYr+f05W5KxG6JfPENeoNWJrr0DCcSeKDIhrchxi01aofqEd21RbaOs8hDZMRsm0y1C+/TvPeipl+TZMeex+PD4lC036XoVnXngO495+Dq88cRX61FqHN96Zg93RrOdPQ3Hs3ug6dq32TdPw+DPTwn/+7SOL5R9RVaZWg/HYxwuwbkchdv+6Ap89OxgtTOSXWleU2yVJkiRJkiRJkiRJkjzkaKR/D61rehlMf/7Jp5/j1dH/FeVdfPzpZyqRinZ8eC4l6pW+XjMxFUA5sRvU7s7lndKWLcvA/IWLMH+BKC7O83k3d+3ajbi4uCrXr7ytynKnPSyPwKjyuCTUTq2FpDh/bsnf7rBizuPo164DznxgVnAeYdzvnitVZ7yAVMQ8mAcsVwo43oNYSeY8Q9ZDUQLbLR64XF4Zu2lLJsrkVYdSgf1Ecfk9efmYt2gJQmJsUB5OVy71w1Qs+sWX/7QAk7boJi1f7lmfn9Hk2toKy90+gLaCclEijfutc1sR8kAeBLkl4Zs0qo+jmjXFUc2PMBTF+OZHNkFCQnz4eI93USqhBlJr1kJqWm0vkxN0v7h44VOQqH52WOM1tBfFv14P/0i5hq2wPIi/Yx6bIvZXSuRcUZQ/cV76w79VNa55A0V1T/yEJMQdUSRMKSrKOqF8y0rE1KqPhI49kHjSGapfaP3/zHoqX7/MN30+Cm+sAjrd+DCeuaobWtQT54s4r+of2RXXPPIY3hh2FurY/f0UJbDd4iGax8nvHXHsuvLd23Yqevs7eTArz+XzFipXP7wxaTTuPyMdP40biZdmZaPjXx7A8M4mDpD8yzRdqXr7zJkzZ+54P5kzZ+54P5kzZ+54P5kzZ+54P5kzZ+54P/djLiQniawi293eX8TC45s2aWzWAl335f4iFmFt7qKl++mqj0LqqsIKc3Whi/J3POpZnVXkah2V5BHHm9cYMRd0xluvOyC33oqq6/z4a5/FZzNmY83KRZj3yUv4+4VNvOs/4Uo89+FEfLd8Kb6d8RFeufZYby4o19/t5ofwytlNURu1cMI1X2LezC/x2dP9da62K15/s/54+N2J+DZDrGvKG3j4ArEtM76i4ha8OeNLvPlXZ73l7a7EK//7Et+J/j9+9RHevKs/jnBt1739O0br7R1x4d8x9vPZ+Hn5bMz479/RS+ZiPf8R61meId7j/57FX5r5xx+La//1X8xYtBQ/LxbreeMOXNTcu375+R1x1UOYMEWsO0Os+92/4yI5z6Hems51/2Pxl6fFur4W61ok1vXCleq5uHauB/i27x4fzgOZ21I7SRT7+AlgJZm5QlZIUNU8s7aW1/wtcvnWiuRVr7uyUSBvGatH2bl7fKgshLUbfsXCr5dhW2YWykrLPLmSi6rmy8++dAA6Yzkmzd/oyZdOHYMV6I0r+slGKd/48l1Y9Op9uLxnN3Vb4zY9r8T9ry7GjnKTm/Ur5v6MySP+D2fKfif2Qr/b3seyXB3bEv3UCMEdC9/B8N699HpP7IsbH5uEtYXu7bvlbMfJRbH6FW7EtGddr7PLBRj+6hLzOoXK87Di8xdx/4V9zfa6odvZf8Ob35r7vJv17Jj2FK4ZNARvZsSgeM1kPHWpfn3/nJmncrmedZ8+ixvVdsQ6ev8N7y02mVKE1+fi75XvyRU7w5+rqu6XsycXmTt2Yfv2LMXM7aIoZmFH1m59QvrHK1pe09S0IuXSr3ofN995D8atMl61a2gvitVevgfr5/wHD986DAMGD8X1D76IKev2uMYJhnKwfuqLuOuWoRhwxf/h6ttG4OWvViM/ZHLTT9WUFyVvE+Z+9BTuun0YBg2+CYNufQT//nId8q1ccSdmjLoHT8/ZCRSsx8zXH8P11/0fBlx7p/iB8S12B6x/9/fv4/G7xTrl67j7KYz/aQ/Mn154t2+N2z4dj99xNx6fvS08z52Hl8Xn9PisrcqrvDwLiz96Grf/n3gd1wzFzSPexeKdYgtWHpOFGS+I1/xVlhi/HONG3Cne31A8/12hzrO+xduP3YOrh8j3cQfuGvm+Z/zur57DzXc8hxm7VG/9OqTEdpeIz0ttd/AwXD/iVcxYl+Pkarz1eYlti89rhv153aE+r2z78xJFcuc3eHuEeC3X3IQB192Ju54Zh8VZ4jvOyqU869f8PfPQltkIrfsYsY2PBcqWifY4lP+6CQltTxPhDtHjJJQunYWEE05HwrFiTNwSVMj3LRWbYNYXef3Kh5bhi/HiM2w3EDf3lE/f1u12HpeO1JrOOKWo9o/Zvy/MwW55Xn05SveXx8FLc7BDvk55fP13hLPfxv+IfNd4xPyIcXeIc3e1cGr/yePrJlx9+whxPoufZ6Jf/ropeP4efV5dfc+LmCsfaWGPj8GqD+4R5//7kKe/9EqC2XOeNe2izbTr1zsbu2MKscH+HpDvTxz34iMKHy+O3Sw5Xpzfb/8Hr0z6VYTL8W9xHt0szrObP/wRJSvexe3Cv7FEH/fWeFXbOgUP3/EA3v5JHodC/lx50xZBLZ59DFe0Wo/Rlx6Hc297AA9cfRoa1TkOQxeZDkHyr9+1XYvMNZkzZ85ciblN5prMmTNnrsTcJnNN5syZ/0FyKau6Fzy5U3vM/nK8Kief1N5u3yfKSqTXL2VNSvmKmtCtpNi5Xoknk6Wq8ZHGWcUz3lZAbsv4G9/D/x67AK2xBtO/XIzMuqfhzocfwXVW/7OfxIJPH8EVbZPw84xZ+Ln4CJz32Fh8cnNTnZsi11+/RVu0a1nfrN/IymU97mgMnfI8rjg6CcXbc5B+/Bm45YkncYsZj4qmaH1MK7Q+0lrv9fhk7CMY0AZYLbb9TWYtdB92P5661sqdIscfebQYe9pQTHnhapyQWozM/Npo1+sGvDD+TcwX7+GsRkD2LqDZKRfgn6/dh2b2+J54bu4EPHVFJzTYtRhz1wGtzx6KVye/h1uaO+tvdvN7mPnk1ejeHMjcXoykoy/DqwNbqbcpOtnrel6u67K2SPp5Fqb/XIxm/R/BJ+Ovd7Znuuv+utj7J0KReUKCuejNV2S7rPrb3aXS9Qup49t/fvqPf+kryfQVsqao/1xeLJy6KL9ZLttFycvLx46dO1FcJK+s0rnVd+u27Zi7YDHWrd8k+mrZ463i6i9LeA4sq9MM/Y8HFr09Bz9aedF3mPNhCXBpR3TU3YRc4/Mz8MrlA3HNS3OwtLgeOh9/NI4q3oDxL92GCy9/GyuKrPWbvlcOwfAPl2MT0tDh+EYonv0ihv5roV6tlHk9FSjGkpeG4KKbXsPk3DS13s4tIF7Lk+h34wT8GjLb98hsS403uVUKxLYHXYGhY8Tr3C23fTQ6JGVh8lvj8PU2kYvtLX32fFz093EYn5motndq/UTsyFyIp64fhjdXude1E4t+/BlLpr+K+658UmTi88HROK5FTZGL9fz7JvR9cALm7AaatjgaTUsW4p9/fxHT1GuUCnh9wtt1UX6PfMvW7fj0s9nqmbGlZWU6l+OUdL9t23aKL48d2GaKrFtFjpfPM5b9gtZv10WRLbYCczO+OAfbM3OQX+LOrWGuttBWTHn6ftz15i+of/7luO+uyzHgiK1454GH8caPcv/ofps+fQp3vb0O9fvJPtfihn6HYd3Yj/DVTte6RLG3nzcPz9/+GF7+Gmgnxtx110Cc3zgHX739lPiizHbGoBQlO3OwdPY7ePqeZ/F5cRtcPnQgBrYEMqaMxr/nufqKkvnlY7jl6dnISGyLq4eK13FmbSz597N4e416a872rSJff/226JCWg8WzliLTl+cvm48ZmSno0Lah8hX5S/D6Hffj8Tml6DzoWtx3+wU4HUvw+PCnMGWHWrvopl/z8rVT8cZ9o/BVYhucec5p6NI8RYwX73v4aHyR3wbX3C7GD+2HTuVL8cbEDOTL9Yv/Sgr1vilRfyZlXkveErxx+/0YMTkHbS66SnzGF+DMxHV444G7cd8X+jnA6vX5Pq8p4vMa5Pq8nhefl/3+5D6o5LWoPtb2TVH/ubxYOHVRDnRenrsBpV/9n2gH4punKpbvaSvadyImYQUqYk9Cybez1BWxMUlLxZhi8a+DmqBVEj+Votr+ugx8VQq0ObkD6gTlVrHGR71/zP5dPA+v//th3Dc3AX2uEfvnmARsXjAOj308DxMfE+fW1pbOfvtkFP5tzgm9/RLki+Nj0WfP4q67x2Nzm3645eoOqJ/3K8Y/PhrTF/wHtz/2NRJ7XY5brhHtmcvx/KPvYFWZNV68hnxzjAlvvTZZSopMu9Um8lLr9T57P+6dVoq2l16FWy4S58OKeXj8tWnq2bBh4+Wxq8YnIL1eDcFaaNm+DTqJ0rFxLSS2bo+OBTmY8fUSZ1uiyP9+XSTO311HoGPr+Mj7R5ZKdOsZHZC8/HNc7/xwqFr+9attuOqiMGfO3NXG3KmLwpw5c1cbc6cuCnPmzF1tzJ26KMyZM3e1MXfqovwuuVwqK7O94w/LV+KHjJVh7XtD1wuSFacuivxPKujqw+pQqqLce3VkNFSvINpx+qXKDQXkJjL+5t5tUTtnAZ7pcQ1uuPVGXNC1Lzr0vwavq7wz/vPIZWi9fQoua90Ll946DJf2vhAvLk5C9/97BBf7tvvRnRei82x5kcQefP9WL3Q+vRfOGf6JytVmU5Ow8d0haNFJZD264prPRd/abXHWtdZ6rBdn/I1n4IS6e/DV82LbQ4fh6ot6oWe3C3Hp61Z/L+VGajdOwtf39cIxXcU2Ot2m7hRbv2snbHu+r95u1wvx3+VAUouOGGzGdXv5n7iyFfDtSDGu9zVqOy3+MgUb656G+5+/1az/Vvxn+GmovWsBHuzdVbx+uf62uOxzeaGO83l2e0Wuazsm/aUtOl8+DDcM6otzXlyM5K434skBenvq8JJjfK+/MqampeGCCy7BEUc297THxcejV69zcNLJpwaOi4bqtcj/XMe7bLHronjyCJm+QtYqiBHwertu/G+Sy3ZT5OvN2ZOH3dk5KC0NITsnF98sXo7lK9aoCTSvqrt9YEdxG3Q+/2hgy2Qs+lHnxUu/wvgC4Nqe7QD7SlZn/IpxT+J5OSHZYhDenzYRb48bg8+nvYC/tgB2rnoN/3x3jVm/6bteVBsPwGszv8D748ZixtKJeO1S51YB9utZ9T6efvVn7JB9J+v1vv3pRLx/lej7w4sY/02p2r5XZqzZnvP+8jDnn7fpbcvXOV9uewzen/kRPnn3cZzXRPZPQoerH8Y/Hh2Db+fr7b3z5Xi82FuudyPenP6jWZcssg2YNuYdbD77Icz4dj5W/TAGA5uJYPX7eGrMRpE2xrUvTMSMT8V25szHvOcG4Dg9TEiuoLr7x1U3fn/nDRschqZNGqhnxk6duUDncpyS7ndUyyNEOVKVVoZWaXN0C6TUSLHXV/n2jUoLkJ+3B/m5okjKUqCvfNTjdTdVscebFtvHYPv0V/FGxmG45unHcUufbujUsRv63vQA7uoBTPlgOrar8duQsSwLOG0A/nqe7HMquvf5Pzzz8j3o28BZlyrW9mt2wzVPjMC4Z+7BNWq9Z2PQvcMwsAGwRHxGu+3+WiXrstBg2NN4ZuglOEv1vQ7npwEZs119s6bg+bfFD482F+Dfj/wf+p4mXsc5/4fHX75TrVcr6PNrhM5nHgGs+QaLd7rzPViycB3Qrhs6Hy59GTI++C++KO6A+556AIN6nmpe9924ptmveGfSMrN+tSHkT5+Ddec9jFfu/j9cf81gnCrXsW455pbWxoBbr8OZ4nNS4+8egVeu6YhU83rU9tXrsii2++F/MWVXI9d+kOMeFvuhBla98yqmqCsSZX8t9+d1pu/zypb9ZFlfxWuxt+8q1utzebtu/AHLy0tQMutaVJTkIKH9GeIYX6Vu74zCPCS0bYuY+MYoW7USiV1OEf2/Q0xCK5RtqIfS5QsQd+QJiE2uhbKVbyKm3Dwv1L9+4+X2S7Jy1FWpLcW5G5S7ffX2jxlf+iuyWwzDG4/J41T2HYZBTYFNn7yPJZ3vEcfMYM9+W7xwmX3luBovtGl9Ai7519O475Kz1fn2+M1tkVi6HKPfT8DN/35EvQ55/N9/rTi2dy3Fog3e8VqiLr1VpFfNLi8pXu/2hteJ1yvOUXHcn3nJA/hb3xrigPoai+SV3J7xlj8S3a+5DgM71xZtR6K/qF8vyg3djwTi2+HM/oehZO5sfJ1n9Zdj1+PruTlI7HEq2sVL78pU7vr8I0r8j1o6kL07Ge99uxW7cwtRuGMFJjzYweQR5F+/8XbdeOZeb9eNZ+71dt145l5v141n7vV23XjmXm/XjWfu9XbdeOZeb9eNZ+71dt145l5v141n7vV23XjmXm/XjWfu9XbdeOZeb9eNZ+71dt145l5v140Pyy0p75Ll/bRk/NQZc3Db8Adw210PYOr02apNKcrxgbmsK2/o9lJyUseakAqjnBQMareoJ7/C2y1WMl4poN1D13glq92itX0p3Z6RmQPU7oTr37oBp7eQ43/BxvWmf49rcHILYPW8RzHNXv8vGLH6V6D+kTg9ivU7uUBOBiY+MsNu/+q7X5CDJKTUc/VTMv6n7chGLZx69au4tWtT0V6Ojet+cfIwCv0yH9eMEX2Un4HVW4vVdqeNXC68eX/Ze4DU2migxp2G604+Atg+H68/tdGME+VL8Z7lxG3bXrhf+rt74YRU8Vl8eRdesj4f0T4tR3x+StJ3wXUniXX9PB//+FLnst/Gp37GRhyOZp3l9mW7lJM7tHJ/ewXy9uxBZuZWdO3WA42b6KuT5TOFzzzzHNSqXRtr1/5c6XjNSLlUNc7fCJl5hqx/5QcBfaW0tBS7d+/Gt0uWq1vIBkv0jXb9ikKZO1GrW3/0wBa8+WWGaC/G0tmTsKPGxehxck3dR8mMK8vAnDc2qJYrbr0aHWqa9podccVNPVT70jdmYoVa/2osGq/7DrztevQ4TLTJ9ri6OK5tM9WupduXfjYGS4XrfI3YtjzBVHsCOpx1uqiXYPySVXq8R1Y/HzNn46PP5VWSjXDP47c6rzO2EY5rZS7blr7+6bjiglaoFat9cX4CWnbqJOrAjh/XY4e9XtUENL4c9zxwNpommnYxbsXcSep1o/f1uLlHXd0uxh3e9mg0ke1Kpr//df7OlH8xo/5qwZKVK+l+6i8gXE1uVpTL+5jqflXTaOM03HXT3bjaXZ6ahu3+fp7xusXxa/GVvLqvy1no00B6qz0FnU5tA6xZi/XqSu0U1JSH8cql+HqnOB6sfrGuK9wCWKd+PV97U7RsLaqrfsEmu92oWVf0be16NmVcaxzTVtjsfH01p2jf9NVsrEJtDLi2L+q7H1YeWwvpaaKq5Gp3sc6Jp6IdtmLuYnM1o2zfsxRzlwHtupyMOtIXfo0Z0wtQ/5yz0SlVj1P9Yhuic5d6KMlYY163aJZq0AM3nKWvrFWNkik1kCp+vC35diXyy6x28TmFPVzdRbPdwP3Q/zQ0Fa974ty1pt0ois8Lyea1fCNeS8j0g3gt5jx1tnNwsHTZ0yjfvQJxR7ZDTKL6NhA/uwoRW1+899AycZ7sQkKbMvH9uVLUT0Lx18sRV78xEk9tjbgG68XX0lGiXwkqCrar9VW2vewc89zTKvopVmv/WHlDdO/WQnz+lm+KFscIoC0G9Jb/U2Pa4xpCvAUgr8DZb4pCHbriVNf/JCU2Pwri/8vQol8/dEpz2usc1giJKEBpgfb2eCWnn00lf3tDnHn28a7XW4EWR7cUlH/o4e7nKp7xsuptb9q1pzjn1mHG4mynfctizM2sgT5d29v9IjKiOiA9XRzeXfqhxcIHMOCMc/HA3GT0++cEvHe26RKkqrZHkiRJkiRJkiRJkiR5qFJK1K0r71SL2/sZlssGI9mkGDDOYhW5llUPoFzKqwpFCaZYV2C7Kxf/VZoHtuuJNPk6I+WaJtcvVfQPyNV7ESrV7XNuvB6PffYL0ns/iP/NX4uVU1/AdSeY/sfUQrro2nrQAuza/qsomzQHydv06m1FXL+5AtPKbRmv2lXXJNRqZPVTPZzXPetWXP3k59hQty8e/XgBtiz7Aq9dd5xnvW6aPeRpzy4sVq3CiH/mNasG6/Ufh9q1hM3JxIcm1+M3YoOauK2F+tI3qiVe6R5sW7HRs37v+z1er+voy7FUfV5WuRxy+qEizr19OcS1HkX39r0sD5Vhzuxp2PTrRvToeTaaNm2GM3r1Rnp6HcyYNgU7t2+rdLxmcG5ejfgnX1kVrCQzz5B1ZmkPGkYslUnk0a5fUSg3F8VH9MT53YAdH87B0sLlWPRpCQ6/oCc6JJk+SmZc1gb8KB9ti07o2FYcOa711Tq2EzrLqOBnrNsu2naKvltkQ2McdZQ8ynQ/TdluSfpd2LxGTqACm95/GNcM/guuGSSK5MOfqfYdxdZ4t6S32l3cstHcLli8j2MCchf3rF+E9x64HZf36IYTuvVFvycWy4Fadj9t0bI5msrPxW4Xr/uHrSo67piWqOVZv1vu9oOH23fuxuYt29HsyMY4u9dpTq6k+/28diPWrv8Va9eJ4uPPouTnFzrjKqVRs7PxzKtP4x13ueds1Pf384zXLY7fg+xM8V23ayneeftNvPGOKBany1seZGGXurotHd2vuQDtCpbj+dvuxO0j38fcjdYzZmUeiWXYvXE+xr80AjffMgwDrh6Gp+eKSMnq55JnfCJqyDvWZmbpK2RFu7zCXRw8aHOEu5+kgC13u4vpPdFX7JpV85diu2nP//5rLBbrO7OT/HEn2vL3QE7lJa6b7XwOhuO/EftHvha1PtFJKi0dqXHS6/UpthqIv51TG+s/eg7X3/oIXv5yGbaXufIgmu22aX2UeNe+vHErtBNOPntYt7vkWU/454WjzWsZL17LLeK1TBWvpdTqf7ARCK39CDEJKYhrLI4t+6GwLoV2iR/oRSgvaIfQhnVIPLUdYlLkVcshlOefgLL1S4EaDRFTU/4Jh3/9XqbXNs+NraKfYrX2jy9305Kn/TA0PUK1+tql3F5SNRq62hs0UhO14eOlLO+iUkC7j4mpCYI5yM725Vbx9JdVX3sdcc51BzJmLjBX2sdg05Jl2JTWEZ1bufpFYkQtFa8JKFr4Ek67bTRmfjcTIy9+CQuyW6DDINMlSFVtjyRJkiRJkiRJkiRJ8lClkVWrLs85qwdeeOYxVXqLerTjIlFLuEpeb4WZfNIsr7bXipxH8t5x4bnHr8iBvBQhOfU00+7k3VOTRJKJja9b/TPwzNU90KzLpXhgbAYKj70I//rsSzzaQo+T+uGVxkg/TJR6jQyl74Fhgdu3ZHkr122O19Ryt7t9Ob5/5nqc2rIzzn94HH4oOxoDn5iIrx49ws6dcXqkkr1+6/W4vbuf6/XGJ6NZpeszMhc46X6u8cobl/GfgM+rMU4d5t6+NV6Pc9YX2ctJ2a/mTMe2rZvR84yzcVj9Bpg+/XNsz9xq+lVvfbZXCjjeg1hJFmv/ZYMplvfTKr9Jrt6il06pRNb4AFrF026poi5OP68HUDABX/57NsYXNMK1/TsiSfYzXUQnPc44OYkiDyzP+hMTYV3sp3qGiqH/tiAVtRJ0H6e/CrSsNqPifCdWrNFQP0+2jhnvktqOvU5n/U4/QXlVXVAuyq//uwv9LrgL/5yxB0dd+ne8NvYjfP53fYWskulnvyAp13jJYnPn6Fo15IORnXavXO0BtMpvndevXxd9zuyK07t0REJcnG6336zu1+Cww9Dg8HoRS6LrQdH+9VvUxaw2oQZq1KyFVFEsptaId/U3/WzvtHnWGyDVenhL9DmnvbqKWfWr3xcPv/YU/j30NNTfNh/P33s3Bj0wFqvy/K/P+LKt+OrZu3H9PyZiVYNT8df7n8K4d/6Dh89Sm3D6iX+23ONlsRTBW/3ckbfdzXh0OLUtEtd8jcU7pM/GYnm74i5dcYq88lv1sdbhgWJi87boe84x6nmjsqste/1WSUHbq8V7/fdNuPqkCiwa+x/cfP3deHqu6zmjknKttterUhuycjdlVlJinsUpjZa/ny27PQXtxGsZG+G1hI33+d8yr8jfjIrC7YhrfqKeeK1EsbWzEX+UnLSNQ9nmpihbVYiYhHjEJtdGTGmu+Pnm/CWbm1aRPrFJQ8jH3q/8VfwQDci91NuNbv+Ydtnq9qrNKJp23eDt52p2t0so2d5qELK8u/jadX8n9683fLymd7zq6GsX59xJ8pybh0WbZdtWZHyzE6nd2qON+HniGe8qto+omfhpWxHS67TQE9HRyrf+qrbPnLmbVmHOPIhWYc48iFZhzjyIVmHOPIhWYc48iFZhzjyIVmHO3E3nVyOybe/Y9vhjRGkT1r43tF6Q9G7aRcbyysKKkGF5tb1ah91ejfHm9UTVf9b3yMwHmrUbhO6e/DRc1e5IdTXoKnd/ma/9Ci/89Vyc8Pg85CS1xenyua4vZ2BjGdD65LtxpL9/JK8+JrHw5dbnp9ut/rpJXgQT7K3x6zHnhTtwVvsn8FVOEk7odo0v1/31cHlXUGe8d7u6v9qvQno/vIzv5V2Qj2iFW1u413c5Tm9dC9j+C2ZLP/cXZKIW2nS73LN+7/s162p5Eh5o7mzP01/Qu/3wvDIfKivDzBmfYePGdZgxbTIyt26ptH803rwY/boCaBXpK8tiPfc8FkVC0/K/bR4rc4h2OWPsolMiKzYuTq1GLqLaviVRr9X9HFyBErw17mPsaNwfnY81/U0XYbRPrwd9UdRC/PizeaarKcXrf9ZXpdZojqaHibbDGkNemA78jLVbSvV4uULVXwVayteS3ZWOuu5hvCOfHyuf6Wqoyl/a6fEuqVeoxuuicsk6jfXVuliMtfL5hP5cVvK+wlv/WIgd6IKRH4/BiFv7o0fbRqiVmqhGKplx/tfrfL6HoYn5zfqidVtRIvtZuUdWf1l1j9e0ioTmb5PHxcbi8MPrenPzZuV5IvsddlgdNGhwmCn1XHVdEhITvOMVLa+pi1qtUnBujdd9tLcyu8m0pyIhDciv1wFXm+c/qmdAXnOt4YVoV8s1Pj4dTU8bjPufGYV37u6A1HVzMGLiaic3RSJ/4Tv493c1MGjE07j/krPRpkkqEtUzI41UP9nfeCnXeL0wMu2IkyYH2Xm6zdquhC3LK1q5ZmK7U3FqwjbMXbINKF6OJcuA7iefiiSTy1v8yjszl7Tqad6/9XlYn01PNFXrU1vSUt6MN0UCh3dE3xsewTtvPoBrWubg61fewVzzLE2Vyzdu9Tfb3bRLX3WsckVRydsjzi0gsVY6EqWXmZH//dmSVVd7TITXEjbe9r7xhlaR0NyPeZK8Tbk4X2LECVOVSn8RP3pPRNniFYg/8nDEH7UbMYlLgJp1UFGaL96++OHmX7+rSKDxsegsjv31s+djc3lArmh8tfaPyd3719CWrAa2a+80Wd70s9olXe0SSn4vpbxut4uvXdHzeq1c9RR0Mlej3a7H6zbtnTyx4xnok5aFGUs3AVlLMXdNDZzZpW34eFeR0IvIeuDDBchufwXe+Jv+wdHib/3QMX09lo5TNli+9Ve1febM3bSKhCZzN60iocncTatIaDJ30yoSmszdtIqEJnM3rSKhydxNq0hoMnfTKhKazN20ioQmczetIqHJ3E2rSGgyd9MqEprM3bSKhCZzN60ioRldrqQgvXI+76euWv67Jd+jV9+Bolwi6vKOdTqy8nDqani7RVmN/Pql5CSaNQEVzMrzb775DvPmzEDOrm3YsyszavY++0wsWbpMrCKa7T+Hd+ZuB1qeizc+fRxXdzsCR3YbhGc+fQX9WwIbZ72MF1T/bhg1/wd8+8pfcILyR2DgcUeiNrZj2/fSP4TXpm9H8kk3Y9I7f8GJav1N0WPYs/jXsCPM9nzbX7ENOWINzbpchGZifSe0N/30pyeqrtdvWnW7Hu/2PUbNxer5L+PG9to3u7gdmqUCmZt/sPt7aMZ62k2b009s35Lpd/+r05EZ3w5Xf/gmbmgv8hYX47GpD6F3/WJ8P/7v+Ej2e/9NfP0L0KD7X/HusG44Ury3HsPexA8Dj9arMttV60o9CUM/HO287m43Y9Qz/yc+j+Dte+n6fAIpJ2VDmDXjC2zdvCkw9/oocil1vFvUx3vQ+VtZpp8haxX1oUs43q4br+F4u268huPtuvEajrfrxsfGxqFxw8PVRJnKw0q4EhMTcErHtoLxZjViYdZn143XsLyRrNfsjN6XanvcgC44znpWoy3tKxI7occgPWH55tgvsUk+a1KOL9uCaWMnqPbDL+isx8cdjQ59VZPuGzLbL9uJFRn62bJK6vUkoMOZF0PejHPRv1/EZHlVkvv1m2daqvEeufpYuVw074L+J8j8Zzz/7CT9Ok2+55ctKJaVAn07T6AZmtQ3eVku1q72vzZZjJey2sy2jzqxt27/cAKmbpbNun3PT6shrZbur4fpXLVZdeM1HG/XjddwvF03XsPxdt14DcfbdeMVZLuSbt+yJVPfonjDr1izfpOuG79+468oLSn1jpcL4+268i4F5tZ42UHKlZk2nUvfGp271QC+nY0Z20wfe7zjFa1j1OSpJ16A85sB+UXyUmyTufJ1P68T9SPQpqkrq8iHuuuwlN3fJeVd27dk+rY5TpyfWIfpi8VKTJtYiNdWgGz7kdARXr8sSSfjzB7AqiXLsT1jKb5OaIsu7fVVxarUbI9T2wHbZ0xDRp5pc483XsGWL7fOT8vHNcX553cQDQXIk8/jtcebXNJsN3/OLCzO947fPk+0oQb6nHq86e+SNd70taWaxcJ+hq0pseK1XOB6LWqMKzdew/F23XgNx9t14zUcb9eN13C8ZExcCmLSmqPil58QEytvzV65YmJ/RXz7muLzXirGpqM8rx3Kd25AXJOeqIgV362+9bu9Quzx6DvwCCRumoaXpzlXL9t52VrMXSRvoy5MtfaPya3tWtSNWqrZanO3a+90NbnV12pXzaZN5arV9hKJyeK8xk5sz5a5KWVbsVi9J9nNtKnxXmpILyil6qZYjW6vuBObsrTXzaY97niceV49bJqxCBk/ZWBVWgecelTAeJfXkItK9Nz1eOCj3Tjt8XUozC3EuqdPw9a3huIKfY/9YPnXb7xdN17D8XbdeA3H23XjNRxv143XcLxdN17D8XbdeA3H23XjNRxv143XcLxdN17D8XbdeA3H23XjNRxv143XcLxdN17D8XbdeA3H23XjNRxv143XcLxdN17D8XbdeA3H23XjNRxv143XcLxdN17D8XbdeA3H23XjNRxv143XcLxdN17D8XbdeA3H23XjNRxv143XcLxdN17D8XbdeA3H23XjNRxv143XcLxdN17D8XbdeA3H23XjNRxv143XcLxdN17D8XbdeA3H23XjNRxv143XcLxdN17D8XbdeA3H23XjNRxv143XcLxdN17D8XbdeA3H23XjNRxv143XcLxdN17D8XbdeA3H23XjNRxv143XcLxdN17D8XbdeA3H23XjNRxv143XcLxdN17D8XbdeA3H23XjNRxv143XcLxdN17D8XbdeA3H23XjNRxv143XcLxdN17D8XbdeA3H23XjNRxv143XcLxdN17D8XbdeA3H23XjNRxv143XcLxdN17D8XbdeA3H23XjNRxv143XcLxdN17D8XbdeA3H23XjNRxv143XcLxdN17D8XbdeA3H23XjNRxv143XcLxdN17D8XbdeA3H23XjNRxv143XcLxdN17D8XbdeA3H23XjNRxv143XcLxdN17D8XbdeA3H23XjNRxv143XcLxdN17D8XbdeA3H23XjNRxv143XcLxdN17D8XbdeA3H23XjNRxv143XcLxdN17D8XbdeA3H23XjNRxv143XcLxdN17D8XbdeA3H23XjNRxv143XcLxdN17D8XbdeA3H23XjNRxv143XcLxdN17D8XbdeA3H23XjNRxv143XcLxdN17D8XbdeA3H23XjNRxv143XcLxdN17D8XbdeA3H23XjNRxv143XcLxdN17D8XbdeA3H23XjNRxv143XcLxdN17D8XbdeA3H23XjNRxv143XcLyUnBBS/yn6vZ/e/JdNzm/oZb264/1UklR1Q7dXsehbXi6ory4MZ+X5lVf/BX3PPR/9zrsQ/c69QPG110fjq7nzlL/p/4aioKDAk0t2OKkzlixeUuX6rfzty2/HC3O3oXaXa/HixO+QMfE53NilNjKnPY4rrplq+u/C999no+GAJzF3dyb27P4Ooy9rgI1TXsSd7+v1vX355fjntG1o0OcJ0We76jPpwfNwastOvu0avvQyPl1djGbnvYIM0Xfuv/+i2m25X7/+SEWbNd40GL/7+wxk178Yz8yU281ExhsD0GDLdLxw70emvzVOU+0iUdzttux+9kbVVa2q338vx4DHpyOz8bl6W4tfwbD2wPejb8MV920w46biirtH4/uiI3H+IxPEe/sW/8/enQBUVex/AP+igii4r7gl7ktoipmYS1laLlkuLWo9LVNfmm2aZVmp4d8yaXN7brmkmOaWa7lghompiIorLpiigisom4DynzlnzuXcywUuCAr1/bx3nDMzZ5lz7jmY/O7MrB39IM5sDoUWWjCOv6gPek0Qx6qkjiXbvWYsnn24Llqq8/9y8CwSS7XBBHGeGpZ2GendPV85qdeJcu3+yRuoraStq7ye6Ov26vQ5ZI0FNlFb7VsP1vl7UV++fFnUr1cL5cqV0bexWqw1FNs91+0Jsb3sbZPd8ytaviiadeqPVo3bY+DT9VS9aRttXe5fFK3+Oxb9ZNN2fIGXOr+PL6d/gxGd+2HEDlHm2QdT3m6h99xDSbTq1x8yjKJt+/T7mDR5PAZ3fh6Dl6lfrkuqPUV9BmDsYy5AfBBG9HoWI3xn44fps/Hl28+iTbdpCLml2l+8pDZkp+z9uuZ/fyBC7a+3T607VcEzI/po5768XbVz2jR8/kpnPNztfSwOE9uUroI68nf/+Akjh32DH0T9mD7Pov+P6dtmfStUmSwUacn2vfCO1tkpCCNluydMw/gB4gfhWytxRBZr9O2z9/mY1lX+XtSXL1dWm1O2gngOZXmqVi+q5Rb6Zml5uaLV64WZH9/Ebr2xv7aFYKpTZXGxCUhSvQLr9/wPOpc8hzkTvsHGU1eRdNsJyfFXcfyPmViyN0Hf/9JGfDT4A0zaFIbryeL4d1JwKWg51vwNeNetbTq+PIF+/lp1a4n149gaGCHOlYKkq2HY+O0YTFdfoErb3sS0v1Wdyrs074SnywGH5n2FOSER4jpu4NLff2LOJ99gjWWU28zvn9ejbeAW+ie+3XAIaPUImrma60vjideeRf2bIfi/CT8g+KK4T7dF22MjELx8JjaeF9tox9dOpJj3T0DogvfQ95NF2r5aWXQYlq8JAcrVQa2yckfVPmM/LVXnTQzBZN8fsO/iDXFtVxH+x1R89GMkyjz5H/S2zOFsYj6OuU7Li7YsfA99xpjaEiPa8oupLbb7q3xm90/m86re2Ws47iTewO1r1URe6w6dsduXxN889XDnRiPcCo5CytGdKFSuCZzbTM/w+EbeqK/YYSCGPlwcxxeOxRtTViD47FXE3byKMyErMOm9Sfh21kIEyvlTs/X5qOMb5zWf32DkjXqDyuv7S6resr1eqherMq1eK7Xk5f6e4v1zwTksWbIF4VdFey/uwYKxE7A1Uc2da7W/dZp2/+SGssjIywK1mPKly5XXzhW4OxxJiQm4HKPml1b11do+Dq+onfhq0WlUfLoNGhh1qt6yrvLG+YsWlfNsZCQc016ohWINn0C/of3wRN1iaPTaBlWXnnYsm+Mbecu6yrPeOm9ZV3nWW+ct6yrPeuu8ZV3lWW+dt6yrPOut85Z1lWe9dd6yrvKst85b1lWe9dZ5y7rKs946b1lXedZb5y3rKs9667xlXeVZb523rKs8663zlnWVZ7113rKu8qy3zlvWVT5dveXPtNRgW26vvkf3Lhj8Wj8MEktPsW7myP72Uqv22WmvFsjSAlDan9nOp6QkI3DHn1oA9o8dYgkMxKnTp3H58mUtvyd4r9gmxapepmfO/K2O4+j5NuOjbs1Rvtzj6DVkCF4b8hIeLVcFjXv7Yb9l+4OYOcQHVcs1R9f+cpv+6NpMbPPSNJyxHO8AJvU2Haf/c3iwXC08+tZyVW97/k0Y+rCPOp44Z5tPtPLvutWGe43n8J15+2nPoWqpcvAepvJ4G96m/P6Zg+Fdqxwe7NZfHGsI+srr8XoR3502tpdp2vGGPlwO7g+/ZcnL/33XrZY6r56X22tlpVpjqMrL8v1fvoTGlYz7IO9VbTz63nJxH0zt3TgKj9Yoh0dfUtvI7fs9Jq6hFrpO07bSjrd/0otoXKW82k7e03Ko2uZtLFX1Zz56DE/Iuo+mWh9f1d/rvC4b728GdYXHfPLJWJmVMdr8lDoVckJJdzeUKOmmvYCJSUlaedQlPXpTrUoltPFpjtqe1VGkcCGHj2tJL+7G1NWHgBpt8FqXepBxySJVvfFcrydQv6SxXTyOb/gJm85WR6f/dER9N1Xu+gDadWsKt7/3YN/hMPwZfBRhcYVRu/1ATPcbhOal0s5TuJI3nvISxwk6hKNXIhBy8BRuNxmImRM74saqHThtOr8TiqFWp25oU/hvhOwPw1/7D4hjH0DIpeLo0P1ptGleG2Xk6LguHiiR+DtW7L+Gv4/Go2nPjqgr2mZ7nUUqt0THDhVx++Bu/Pm3OGbwIYRGQbSzF3p3aopqJT3wkHcK9m86gCPhR8W5wnDrwcH44esOiFu2A2GqbeLQiD+2GT9si7C6X5bzFa6IFk82RJH9u7ArIhphh8V5bjXC8Cmfocf1denvn7FfPk1dnIugRnUPLZV5+RyWKV0SZcVim5YqVVLrzZ3Z8dLSWJz8/XfsQwN0fayONpSq3e2igrFsRyTqtumGZhVVeck7uLopBL/v3Av3th1QT37ezpXR7JGKSDy0HSuWb8ayVeuwYm0AAsOAms290KiKOwq5VkTtYmewedkvWLR8ndhmA9bvvg6PHkPxYcfqcBYHtz2/S9Xa8Dj3J5at2YoVYvsVW47A+fFBGPHwJfwa7IrHenprXwjI7Hou7V+H3097aNtWkuVO5fCQaGvCkd1Yv/53rFq3Gev/+Bvler+Ll0sFIjC6AbqJY1g9V7Zp6UKI2RKAnReAjn2HoKVohFW9W1080qQwLv0ViMUrRLtl29f9gb9ulEejpvVRv2xRsV1am63P54xK1csgdt8G/LhkA5asEPdqfRDCnOpjyIevoUXJQtp2sSd/x/oDQPOnH0NdsbP5vBGBAfhp9WZxbQHYFCzucecB+Pxlb5QUO+rtdPR+OaOiaEucaMtCm7YMFm1pKdpidd35IHUqXR93Infi9rndSE3yEPmGcCpSGihUAbj9AFLvVEFqYnncPnsLKaeu4HbEWdy5el7cuxoo0ngonFt/LZ5nN4fPl+rkjgceboWHS0Ri79ZdWP9bgH7fd55GdPX2+Hjcf/Gw8XPc4c8ng89XLOmeZ3O5eHbTPs+LCFkZjJO1vPHiQ5Ut26XGn0TAr8eBpuI/JGq7pysvLd51b/U8F6lSH9Wu7kHgHyHYuFG0d9tplO71Lsa1vCR+LsD0/mXc3lT1M6SO6bjxpm3lF3HkdoUq1YDbyT+xefMfWPHLb1i/NxWPPtVImwtdO45rdRS/tAa/nyyH3q/2Qj1RoZUb9bap/I+UO3ewdesWnDt3TpRk4lo4jh48ivDMpx1Gq1at8Mor/5HzK2j5TM/PlClTpkyZMmXKlClTpkyZMmX6D0vjExJRzNVFy8sSGSBKk5bPrN6npTdaiSWn+0tGfULiLbgVc9Xy9to79X8/IDbmiigQJXYW+fsj2zLzYls/4t238eknH+Pxx9ujfr26eOqpTujV4znUqFEd7du1xcv9+mDz5s2IjY21u7/tYr8+EidDD+Nw6ClctFsvl2icOXoYh0KP4+9r9urlEokT8jhH/0a03Xrz+fXjyXNG2q23v2RUH/33cXGswzj2d7TdemPJ6fGNJVW0+2877U6r19PIE/a3sT2+vt1xnFH31Fyv1Z2ItOTlcvftt19uLBnVu5cqj+H/fS3D596cShluk5ScLFJTsTyB9otPq83S0vtUH3PjBqIuXcXJ0+fQuEEdPFDDw6o+q/3zrD7+Bm7cEmlRd5QsbqfeSG/fwo0bSUBhF5QsKXsP2dQbqbG/sb0oL1qyJIoWtqkX5bduxuJWSsb1Wl6lt27eENuKfDHRTtmz0Fx/O1mcK1FcQ0mULGZ/f0ua0fWp9Jb4nG7ddhKHchdtsrNdFvuzPpP62wmIi0uCs1tpuBift1GfGI24ZJE6FYObuxxS23b/JCTdTECyOL7d/Y3UdP6kuBtIvlMEzsXd0rbPhetLEu9MuuNmY39H6pPiosU5RN5Z3A/xHyy29en2M9eniPucKN69Qm5wcyuSvj6T/ZNixXlTncS1lRTXZmc7B9tvySfHibakiLaI65BzO2d3/3tYL+eATdnzGVJOLBb5jDm5V0Ohck1RuE4fFK72hCwRS9bHz7g+RTzbcUiWefEzzM3Ftj4tzfXPJy/rE2+Id1q8r8VN72senV9/X1zE61JMzRedVh/6w38x9tiT+G7S86iWxfFlMPaO2MbffzEGvvaaKLt7c3+Yh759+2jTGcgz5cX1s571rGc961nPetaznvWsZz3rWc961ufX+stXrmsdg9K2ShWpHii1Tu9N/bXoG6hQXg4fmraHOa3f5FFEnj0m1u0wNsuInfpnnumKJl5eeiaD/adOm4GYmJgcHd8K61mfQX3lGg1w/OCfol5skOX7K1YzqHO6lSR/PZ2uiilTpkyZMs12ivjzuP33Rty5fhip8ZFwKlpGD8KWrA2U9ULh0vWR6qQH1xw5HtP7mMb9ie+G/Yjrr36Jce1LZbm9DMbK/7BITknBR6M/xJQpU0Rpzr05fDi+mPgFChcpoveQFUtm52fKlClTpkyZMmXKlClTpkyZMv2npZevRqN0KXexLnKZbXgPUhmcjY6JRYVype1Va2mjZu0QceawKJAlRP8ATk6oVrMxjoT8keFzb06lDLdJ6yFrMKoNzDPPfBrmmWc+DfP/vHwK4qLjgfjTWDP7f1h+pSXGfjUQXq5Gfeb7y//Wvn37trYsXfoTfpj7A4KD9+LWrVtqm8zJOWO9vVvgtYGv4aWXXkLhwkVQqJCc7l6eJ+vzM898GuaZZz4N88wzn4Z55plPwzzzzKdhnvn8m796PQYl3IqjUCFVZru5rTysv3MnFTfj4lGuTClVIlnv8NhTvXBgzx/aNJSy1KhlyrSgpkWKOKPpw+3w+28rTDWGzPLp67QesipnOYGBeeaZT8M888ynYf6fmj+NFe9NwpIowKV8fbzx0btoW8nx/eU8C9py5w5uyyGMxSLzsl7rQavY218f7kMmTtrc3IUKF9bW5SJ7yDpyfgPzzDOfhnnmmU/DPPPMp2GeeebTMM8882mYz3/5mBtxKFKkMFxczFOrGe5tPinpNlJSUlCypJuWt7f1m+99jGVLFiE+NlovNLPdwRbrWZ8P64u7l8YLfV7G1K8nWFXbbm7OZ1TnlCQDstovQbWsSEQq87Yp61nPetaznvWs/+fXJ8Uh7pYT3NyL2a/PYn8ZjDVSPQir95x1ZH+nQoW0VAvGilJZr22SjfOznvWsZz3rWc961rOe9axnPetZz3rW/1PqExNvIfFWEtyKFxP1ktouXWrIu/q4+AS4FnWBq2tRUSzK7bR/5eoN+GzcBJw+cdDuUZgyLWhprbpNMG7sx+j5bBdRIErMz73N86/lpQzqOIcsU6ZMmTJlyjTXUxmMNaeO7if/Q8WcOrofU6ZMmTJlypQpU6ZMmTJlypTpPzG9dj0GxVxd4VyksEPb50WanHIbCYmJKFumVJbbt2zTGSePheBWQqzIERVcRYu5o06DZti9Y2OWz72RShluk/EcsrapgfWsZz3rWc961rM+e/WpqXfEnxnXa18Yy6Q+fTnrWc/6NKxnPetZz3rWs571rGc969OwnvX/rHrZQzY+4Rbci7uKElFmXZ3naar4X2x8IooXK6r1kLW/oSEVK3/ZiHETJuHE4T3ym/pWm9l2GrRNWc/6fFNfyAl1Gz+Mzz4epfeO1WSwo4XMS/brrOaQJSIiIiIiIiIiIiIiovwjNjYet2/fQTFXFzgVckofD8qjNPVOKhISk1C4cCG4uxcXhY75eOxErPllHU4e26dKFNuImCWvsJ71+aFe/L9O/ebo/mw3TBg7WlXePTWHrFjTzm80gHnmmWeeeeaZZ5555plnnnnmmWeeeeaZZ5555plnnvn8kL8Zl4Dk5BStl2qRIoXkBqreskOu5lNS7mi9c52dC6OEW3G9XKs3Ns88//HYL7Buw2/4++QhJMbfkBuIYhmOSp+qA6QrZz3r73V9seIl8UCdB9Gty1OYMPZDWayqxYojz7+UQR17yBIREREREREREREREeVz2vDF8QkoXKgwChcpDOfChbWgj5MM+NylVBlAEv9Pvn0bt1PEcuc2ihcvpoYpzhk5fPEXX32HhLgbuHD+DBJFmpKSLM5zJy1oZUStmGf+fuSdCqFIEWe4upVElao1UUykH77/Nno+21lsl7tUD1njxEyZMmXKlClTpkyZMmXKlClTpkyZMmXKlClTpkzza5qYeAu3kpKRknIbd+7cUeGeu1eokAxOFUZRF2e4uhZ1uD1ZpStXb0DAHztw6NBxXLp0Cbdzsc1Ed6OweOYrVqyIBx+sjw7t2qDnc10cfq7tplIGdewhS0RERERERERERERERESUR+RA41pwVvxfpPJPtW7Oi8Qqbyys1/MiscobC+v1vEis8sbCej0vEqu8sbBez4vEKm8srNfzIrHKGwvr9bxIrPLGwno9LxKrvLGwXs+LxCpvLKzX8yKxyhsL6/W8SKzyxsJ6PS8Sq7yxsF7Pi8Qqbyys1/MiscobC+v1vEis8sbCej0vEqu8sbBez4vEKm8srNfzIrHKGwvr9bxIrPLGwno9LxKrvLGwXs+LxCpvLKzX8yKxyhsL6/W8SKzyxsJ6PS8Sq7yxsF7Pi8Qqbyys1/MiscobC+v1vEis8uZ12zr2kCUiIiIiIiIiIiIiIiIiyhuFjOgsU6ZMmTJlypQpU6ZMmTJlypQpU6ZMmTJlypQpU6ZMmTLNQZpZHXvIEhERERERERERERERERHlDX0OWW2VKVOmTJkyZcqUKVOmTJkyZcqUKVOmTJkyZcqUKVOmTJlmN5Uy3IY9ZImIiIiIiIiIiIiIiIiI8oZ1D1knfS0tr1I9YT3r9VT7k/WsV6mesJ71eqr9yXrWq1RPWM96PdX+ZD3rVaonrGe9nmp/sp71KtUT1rNeT7U/Wc96leoJ61mvp9qfrGe9SvWE9azXU+1P1rNepXpyz+qlDPdlD1kiIiIiIiIiIiIiIiIiorzBOWSZMmXKlClTpkyZMmXKlClTpkyZMmXKlClTpkyZMmXK9C5SKcNt2EOWiIiIiIiIiIiIiIiIiChvON2Mjb+rgGynZ/qpNaJ7Y9PaxWqNiIiIiIiIiIiIiIiIKH9zShXUeo607tBTrRHdGzsDVqo1IiIiIiL6t4qNS4C7WzGVI8q/+KwSEREREdFdB2SJiIiIiIiI7jUGuaig4LNKRERERESFVEpERERERERERERERERERLmMAVkiIiIiIiIiIiIiIiIiojzCgCwRERERERERERERERERUR5hQJaIiIiIiIiIiIiIiIiIKI8wIEtERERERERERERERERElEcYkCUiIiIiIiIiIiIiIiIiyiMMyBIRERERERERERERERER5REGZImIiIiIiIiIiIiIiIiI8ggDskRERERERER2pKamwu/72Rj05oeIuXFTld4jiRdxMPgvnI5WeSkxXq3kd8mIOvwX9p6JUXnHXD+T/X3yTs6ugYiIiIiIyB4GZImIiIiIiIhsyGDs9Fk/IuJ8JLwaN8CYcZNxMzZO1TpOCzIG21tO4braxq6b+7Doy9nYfFblzy/DsP+8hf5LT6mC/OwK9vrPxvgt2WvruS3Z3yfv5OwaiIiIiIiI7GFAloiIiIiIiMhEBmNnzFmEk6f/xsTxozD8v/1Rr24tfPK5n1aXHVqQ8ev5mLlgmc2yC1FqG4eUa4L2jWugY1MPVSBc3YaJb03G5qsqT0RERERERPkSA7JEREREREREJv+buxinz5zD+QuROHL0BJycnNDpibb4+2xEjnrJomY3+H7vh9lWSz80UNUOcW2AFz77FC83KK4KhDvxuB4Zg6Q7Kk9ERERERET5UuGxglonIiIiIiIiKhCSklPg4uKscrln5tzFuBB5CePGvIu6tWviq29nIVX8b+r/FmLwa33RuEFdtaVjovatQUB0Q3R/oh7cVZldcWexff1iLFy2BQevu6Bm5XgE/XYMZdt1R4tKcgNRP28Z/i7vjZqlxPVHhiJkbzB+PXAR1xMicPrQPkS41EGDiq7a4SxuhmK1/xG4NauGxOAVmPfjCvx2OApuno1Rpbg47alNWPbjYiz7KwK3K9RB7bI29/SmOO8G0a6FG7H3cizcK3uiklthVWmIx7k/V2HhEnXsB6ogbtd2BJd5GH2am3r03r6Cg7+twiL/1QgKj4JLtXqoYjqWdq9gs48trT3LsGLZamw5fkWcy3SM2zE4HbQGy1atwKLth3HDqRJq1igFF7023b2Y+eMaXPJohQZl5f4OXkMO5NWzSkREREREBQd7yBIREREREREJsmdsxIUojPlgOFycneHdzAtdnn4cPy5ZhdcHvISnnmintsxlcfswc+R4TNkSgzI1ysPlUgDGjF6F06padwXHNv6FY2ri2eSrJxF86CKy7K+beBY7NwZjw7wP8c7yi3CpWB5J+zdh/JgF2LxxPF7/OhjXS3rA7fw2TPn0O2yPVvtJkesx6r+iXbsB726tUOlMAMYPG4GZB+PVBlI8Ds75EMOm/4XrpT1QyeUKNoydiHlnVLVBXuObH2L8Hylo0u0pNCl+DFPemYj1kareEaI9Y4bJ9sSjertO8EYovvjUH8eSRV3yPkx5dQQ+/u0iyjR5Cl1rXsH678Zj1BpjEl5BuxdHEbxxIt5ZdEq7F2VcZaDUwWsgIiIiIiLKIafU7E6AQ0RERERERHSfxcYlwN2tmMrdPTlnrByi+NPRb2vBWGnf/kPwnTQVQwe9jCcfb6OVZdfBOa9jTFANdGzjkdZTE+Xh07sHmpSQ68kImvoGJh5uDt/JQ9HETdsAOLUYg0ZvQ4sxczCkiSzYh5kvTAcseeHgdHT3vYgh0z5H1wqqzNbl9Rg1bBXw4mh81qs2tMOrYyd1GoTprz4CrYNp9CaMGbwMZd6dgRE+8vrPYvWI8VhUoz8WvN1W3084t+JDDFvpgdFz34aPK5C0+zv0nXwKHcd8IdqlhlO+fQqL3p2IZU2GYs3rzUWBfo1+t+0cK+wpLBn9uFam3SsY+9hS7XHrgWmfdUUlo2Pt7WSgsP55xUXHwK10KW1dOr10BN7Z1AST5vbXh4dW9+J0A+tjOHYNOZfbzyoRERERERU87CFLRERERERE/2qZBWMHDXgpx8FYhyTuws4/gAbde6QFY6WSpVFGrd49D7Rvp4KxUtUaWoCydUsVjJVKl0d1kURFX9Hz53Zh/bni6NIlLYAqVX+iA5okh2JniNYtFcFBoUiq+xSeMwKZUuHiKKMFmxV1jR0ftzlW3RrAoZM4pfKZMtrT1xSMlVQwVrIEY28nI+7mWSQVKQ/cjEOSXqqUwguDzMdw8BqIiIiIiIjuAgOyRERERERE9K+1YPEKPRj74VuWYGxwSCg+/3IKXu//Ijp3ekwruyuVvfHCq4MwxLIYvWOFmzcQJZLaVe9untJscXXLfD5b6foV0a5SqFRa5Q1WgdsruHZJJJ4e0Ka5zYi6xvW+r6P7C6bFdx+QLAO7DjDaU07l7Yg7H4gfxr2F3v95C+98vQrbT8aoGrPicLOaZtfBayAiIiIiIroLDMgSERERERHRv5bsCduz+9NwcdEHFJb5CV9Nw+BX+6DLU49rZfdC0m21kq8kI9m2XbeTbXqcCg4FVYvjuQlzsGaZ7TIUxgjMWbPTHsO5ZRj17s+IajcS/gtnYPZnb2NI5xqq0gGOBoaJiIiIiIhygAFZIiIiIiIiIuHgoWOWYYpzpWesIyrURoMSwM6Doaogn/BsiBa4gr1HbXqZnjiGnSiOBnVkj14P1G5YHNh7DMcyCyhr1xiP4IMODU5sX0btUc7t/gvnaj6O1x6vARfzkMZZcvAaiIiIiIiI7gIDskRERERERPSvNvb/vtWG0B0zfnLeBGOT4xB3M8ZmiVe9YhugY5fyiNu0CstOqGBj9DEsm7IKx/RcxjweEHtfxLEwtV9uBhRLPI4XuhfHwTnfYdkpdfzLgfD7LhDJzXqgR129qEH7Nqh+MxA/rD6G6/L8t2NwbMVszDuh1+saoEf/2oha+h38/lRz1ApJkftwMFJlDBn1VC3RBs91Vu0x7lPyRWxfsAwHEwH3EqWA82dx7KZeFXdqPSbO2KdnsuDYNRAREREREeWcU6qg1omIiIiIiIgKhNi4BLi7FVO5nDt56gwSEm9p68WKuaJOrQe09dxycM7rGLNJZax4YMi0z9G1gli9fRHbv5+MKUEx+nDArh547t22iJu4DC5j5mCINqbvPsx8YTpgyUvx4vgfiuPHazm37iOx5OUG2rrF5fUYNWwX2hvn0tg7ll526tXPMamzms/2dgwOLp+M8SsuWoYpruTzAj59qxOqm3qhRv0xGWNmHkOUFkt1Rq2uA9A1fjamOA/Fmteba9vI4YbPbZuOL+aF4lyiXuJSwgNd3huJ1xqX0vLX/5iIQVNPoVr/z/FtVztz6t6+gr2LvsMX683t6YHRg7uiFkKxyHc6lp3SA7outdviw5dLYtm4i3jZGBbZ7r3QOXYNOZNbzyoRERERERVcDMgSERERERFRgZMbQa73P/4/tZZ9HR5rjc4dc7snbTziEgHn4sWzNexuUlwMku84w61EcVWSy26LdsUnA66l4OasymzdThbbxGe+jSYZSTfjkVyoONzsbKhdi0sWx8ikPdr+hcWxXTNthH0OX0P2MCBLREREREQMyBIREREREVGBkxtBrl17QtRazrR6uJlaI8oYA7JERERERMSALBERERERERU4DHJRQcFnlYiIiIiICqmUiIiIiIiIiIiIiIiIiIhyGQOyREREREREVOA4OTmBAz4RERERERFRQcCALBERERERERU4hQo5IeX2HZUjIiIiIiIiyr8YkCUiIiIiIqICp0iRwkhJSVE5IiIiIiIiovyLAVkiIiIiIiIqcJyLFMGdO6m4zV6yRERERERElM8xIEtEREREREQFkotLESQlJascERERERERUf7EgCwREREREREVSLKXbKFChRAbn6BKiIiIiIiIiPIfBmSJiIiIiIiowCpa1BnOhYsgIeEWhy8mIiIiIiKifIkBWSIiIiIiIirQZFC2iHNhJN5KQkLiLSSn3EZqaqqqJSIiIiIiIrq/nMQ/UvmvVCIiIiIiIvpHSE5JQUrKbdy5k8qgLOUb7m7F1BoREREREf0bMSBLRERERERERJRHYuMSGJAlIiIiIvqX45DFRERERERERERERERERER5hAFZIiIiIiIiIiIiIiKiHEqMVytERBlgQJaIiIiIiIiIiIiIiCgHdq4GZr4LXIlQBUREdjAgS0RERERERERERERElE1bfwS2LwUSbgKLxjEoS0QZY0CWiIiIiIiIiIiIiIgoG+KigUOBgJOTnk+M04OykeF6nojIjAFZIiIiIiIiIiIiIiKibHArDbwyDihaTBUIMii7xBe4eEoVEBEpDMgSERERERERERERERFlU1kPoEM/oGhx1VNWLLcSAH9fICJM34YotxzYBqQkqQwVOAzIEhERERERERERERER5UCJcsDjfQHnokDqnVStLPkWsHQicPaoliW6K4nxwA8fAhtnA1sWqkIqcBiQJSIiIiIiIiKi++tWBI6EhCLqlsrntZgT2JvT893rthYI0QgP2YPwGJUlIvoXKVQIKF0BeLI/UMxNTSgryKDssi+Bvw+rAqIckM/RTxOAS+f0/P4ADoldUDEgS0RERERERET0D5UcGYq9IXtMSwjCryWq2nwk5iBWLQrAgXsV0DsbhIU5Pd+9bmuBEI6ARRsQcFZliYj+TVQMtmQ5oMPLQFE3kdE7ymrDyy6ZAJzar+eJskv2iI0MFyvimUpVz9XmBXpKBQsDskRERERERERE/1DXQgOwcNEG/Lw2AKvl8ssGfDPhS4z4ciWOJKiN6L47suJLjFkRqnL5W0FqKxHRvSDnjnUqpKelygNPvgK4uul5w8+TgMuqhyMBV84DKckqQxk6e0SfN1aSz1Mh9UxdOAkcDdLXqeBgQJaIiIiIiIiI6B/NE30//QC+chn7MfxGd0DduFD8b8YGRN3Rt6D7KzkuETfiUlQufytIbSUiuldSVdfFVPE/rafsK6lwKZZWLu1YoVb+5X75HpjzPjB9OIPUmZEB6w0zVUb1jr1jep4Cl6sVKjAKjxXUOhERERERERER5aKk5BS4uDir3L0Xd/ovBJ4shuZPNUVlVVa4+ANoUesGdm8JRnjJh9CyuquqEW6GI2jzWixftQMHoq7AuaInKhfXv89/4/AaLA28hsqNqsNdKwGSwzZh8W9/o2RjT5QxegJdCsLPv4TCqVZdVHABInb6448b1VGvbDT2bliJpRt24ciVVDxQqyrUoUVDTyDwz2uo2qYVasuhHg2ZtMeQHBmCrb9txpq1+jbFK4vzFlOVhmuh2LRhHVZsCsGFpGKo7nwBAQcTUc90vuQre7B29a9Ys2EPjkUnoKLHAyhZVK+zYretKbjx95/YuGFL2v7Vxf6mj97+8fW5V0MOhCMiOgaXI8JwIDQa5bxEndrPoN3/ky5o6nHL+j7WEfcxNRphgRvw86oA7D0fi3Ke4vOweexunAvExlW/YsXvBxB10wmVH/BIu/+C5fhVnayOVbK6J8pp9yGztkYiZNNx4KHH4FVYXOeydViz4wguF66E2lXcUVg7AxHRP9ONq7L3opPqJaunrsWdUK0+EH7ACXdkDE0sVy8A9VsCbqX0/f6NTu4D/limr8u5UU8EAw+2BZzt/X37Lxf0CxC2V2XEf2NVrQdUrOGE61F6b9mEm0BZD6BCdbUN5XvW/wVLRERERERERET/fA+0hE9FIOzwUVhGDIzcgEnjF2L5YaBx+4Yodz4Ucyf6YW5orFZd0jkRh3fuxoFLWlZzYm8Q9gYHYddJVSBcDd2NwJMpKKaClVdPnkDwnk2Y6rsAgVeKoFzpFIRvF+fyD0k7tz1ZtEeK+PU7jPgmAIdvlUer9p5wDtuD/02ci7231AaSPM7ElfhNtLFyxWJIOL4J4/zlZGwmlzbhmy834AA80aFTI1S/tg/fzA3AVVWduRQcWDgBY2buQ2RJsb9PBVzdHYBJX69BhNoi4+NfR8TRcJy7qbbLRMKFcOw9EIiFvnPx20X9PoZtE9f2cwA2fT8NC/fHonjFIojaFagd+4baT4ra/B3GfCvuU6Hq6NC8DCL+XINx4t4eMA1brR9/D5Z8OQ0/H08Ux3IV1xGIqdM3IErbIuu2Ru6YiXFTd+OqSwmUu3MRAf5zsTA0H85ZTESU24wvJZlS2VO2bguxLgOyqnzHv7xX454NakWJvQ6snaYyZBEXAwStURml2RNAvZZiRTxPRkfZoNV6SgUDe8gSEREREREREeWR/NhDVueO2NPbEXK5LB5uU1fkwrH6u404UKMTJr7VDQ2qeaLxI23QIPEvrF57ChXaN0eVCkk4u/UArlZthRZVi4hjhOPPVX+jWJ07OBVXFR0alBFliTiwdStOVW+H5xtX0M4UdWA7/jzlik5vD8fzPl5o+lBLeCaIdu1NQq1OXtC2Stfr1IH2iCaUrNoAj3bsgMea1kX1anXRvEVhnBJtlD1/fWrInr/qOGUexugRL+LRJuL83q3QruRxbDmSYukhG7VzHdZf98J7QzuhnscDqN20FZ5q6Ynixi/WzdK1tRAq13oIjz79GB6t74kqDzTEozWv4c/th5Hg2Q5e5TI7fhk84FUJcXuCEVa1Az58uROa2ukdK2mf5d5ENBj0BgY/4a3dxzrxoizoAop1fwMjn3tE7NsCzV0PI2BXLCo91hzV5cd0fg38fjwDzxdH4L0ujVFdtM+n3QO4FbQdK88UxZPNqms9WPXjx6Leq+r4Xs3hU+oUNu2ORClxz2oXz6yteg/ZCx6tMfLtntp9bv5IVdz6KwS7Uiqhs9iPiOifSu8ha3+RPRjD9gB37oi82PbKBaCut/hbuLS+77/JpbPA70tURpI3RIi+BJQQ/wlR2VPPO0LOQbt5PnA9EqjeQBX+gwQs0ueJNcie1bWaAsXc9WGeZSBbir8BVKoJlKui5yl/Yw9ZIiIiIiIiIqJ/u79DsfdaEfi094F5tF/Px5qh2p0I7D2QCBRqiEb1gCPHjuqVl47iMDzx1MMeuCHKtF6Ud47iSBhQr0FDbROLOs3hU1atC561PMS2CYgx92Q1c6Q9UrHSKCmDjkJyQjSuXhJFpYD4BFWvHQdo2rELKpl+C1bMzXpM47Jl3YEroVi1KwLJxry62fmtWQnRDrV9clw0IpKBckhBvLq+uz6+oXxd+HgaA0YD1aqWF396oEWztN/slyxTQvwZi5sxej5871FcLdYQHVqm7YdCnujQVux7+Ih1b2Kb4zvX9EAlJCI+ThVkod7DPihnuS5PeNYUSVxs5j2hiYgKPDUmscZY1/NFi6eKn4163tji3zr3Z8hmtaIRd8O4IcLWReJvrmiVycLp/cCCMcDRXcD2pcBvP6iKfwgZcN0foK/LnrBFiqTCq51xs1LR4BG5nnb/5NDGVDDk5D/9iIiIiIiIiIioQEvUg4XORaDFM29E4wbcUc62x06pMignkqsx8rekrmjcsDwQdgJhIncjLBxRNavDs2Y1eF4KR5gcyvbcOYTfqaYFbrOWFjRMx6H2CHeu4Mi6uRj30Th8OHEuFm4Lx9UkvUqjHac0qmfRQdPZuz9G9fLA1VVzMWK0H75ZsQdXU1SlIxIiELR0Gj74QLTjq8VYt/ey1ZDBd338DDgXy7r39Y2YRKCEO2ynLLQN3GYsEVfNF5Nd167jmlolIvonKlTISS2Ak2U9Lf9gGyc4uzhZRjOW86hG2oyc/0+Xkgwc2ZkWgy3m7iT+HlIZIUn8VSV7hWbl3DFg2SR9/llDyBbgr3Uq8w+wzV9P5fMie1k3Fs+PvF/G81S9vhPcy4jnST1Qsift+RP6OuVvDMhSnkgK3Ygpvt9g1q/hMP876L4KD8SsKbP1ZbNlFhcikziErZoOP9/52HTcwa//5htxOLRUPd9TAnFBlRIREREREdl1KwQHwoCStetqAU5dCpKM3puGO9ZRw5L1PFEp4SLOXErE4aNX0Ej2hC3RCI0rXhH5RFw9GY4bVaujXlG1w13Jqj2xCJo7Df8LLYHnPvgYfuNH4N0BnfCQjDNasXOcdIqgWuv/4OOJH+Djl+vCOXQDxo1fhrAs9xPuhGP113Ox+lpDDB//GfzGDsN/+7ZENVWtu4vj5wZ758mFgDAREemMQKPBnC9aHGjgo5cZ5X8sUyv/EieDxX96JOhBRqlmE6DVs9b3SQZszx5RGTvkkMc/f6kyxo4qlUHMU/v19YLs78PA6QP6fZKXJp+dhq2t75NU/xHrsj3r1cpdksNHr/wG+GYg8P0QYNE4PVB+fI/4/OLVRpRjeRaQjT0Zik3+RnBgNpasCkRYpKrMyu1kXDgSiLVz0vZf8WsozmTwjb2k86EIDtqnLWcy/MqdOOZ+fZvg/VHWQcKEKBxS+2e62O6XBbv34Py/YZCWUMx/X1xvQCDmT/oQ8/PLD8JrxzB/1UZ9OawGWc9E7Mm0zz7j58osGmcsz0u4+GdhLoqJsLQlq+cw83bHpb0HYjl0Np8FHcW7HxsTJ5bsvSfmaw4+nvnYFuafF+nu5X5/DJ6yBSsC1mDs2/44pIoLhliEB6rne9WxPPr2sfkZt17CxLMUG8tBqIiIiIiICoYUhG/YiSN3SqOdj5qwTfZyFf+uOBJ2Rc8bwsIRhiKo9YCagbZiQzQuFY3TZ0JwIqw8GjeU87RWRt0Grgj/+wTCz0XbBHlzyJH23ArFgWNA06dfQNNSatxiWxkdJyOFXFHJqzve/O/DKBd3AsGm+dsydE4Oi+yOtj06oFpWgeicHP8uedYqD1wJx2Gb36sdCTsHFPNAzYqqgIiIcsZJ78loLPbyjR8FihbTVjUy6PZv6tUYGqhWlFpN9Dlj6zZTBUpGww/fEH+NL50IJBk9Y8WNdJWzDxg3VPjlO+DqeZUpoLYt1lMZbJWX1qQ94Cz+28L2eZLzEBeV/wmmHNutB1Pv1i9T9DmPZfA8/iYQcRzYvQFYJYO0rwOLxwG71ojP46raIRdF/Q0E/wZsmKkPSf3tILGIc676Vm3wD5DrAdnY4xsxse+L6DT4M4ydYwQHNmLKlG8wQJQPGLcFF26rje24GjQfw7u/iN5vfoOJ/mn7+036DH17vIjh80IRa7P/zd3+GP6xr7aszbCr/zUEz9G3GT5nH+QoOhYx+zBP7Z/pYrtfRiIDMWVABvfgFVH+hj8OZTkcTH4Wgd+NQPl+ewE9F7hYpmIR6y5qtYA5sy7ts8/4uTI7h7WW52ULzqjSXOF+HTvHqWO/549g8QPRvgj8Zmz38XZctJ4SRzybf8DvPaPeF4On78tx4Djp2nFs8huBTh16onWH0Vjr6Bcu7IkJx1rft9Cpo3g/erwilhfR+ulXMEK072omPy8M5s9q+IerEZbhPskIXWja1vaddnGGnH1HU8xZPL05E7t/jfoiRn7tqRqFtW/Kz82B5c2NSPv71fyMWy8DBojPTfzsfqzHaEwJYA90IiIiIqL8JRnxN6NxQyxX/96D1TP98M2OWFTr0gudjGBciQ7o2soVEWsXY/VJ/YuuyVcC8T//o0jw9EFXyxDEnmjUsAjCd+5DeFlP1FO9UT0begJHA/DbySJoLNdzxNST1ZH2FHVH8ULiX8JnTuhzlKZEYq//Yqwz/0KyREu0aiC22fILgiL1eWWTI8Vxfjb/Qz8RB5ZOw5LgSMtcpzfOX0E8SqOahypIx9RWN1eUFP+6jjijviB88yg2zdiEA3pOyOr4lVFJpufCES57raakWLbLDSVbd4CP2xWsnrtGH1ZatP3qrrlYsDsFnk93gEOjS1vkbVuJiAoic6DMNnBmrLu4Ao0e1Ta3CLyHvWRDtwPzPwa+6Asc26UK75G4GOBUiMoIJcsB5aqIFXFfWjwthy/Wy6WrF4Cg1SqjyOGMl32pH8cge452fQOo/ZAqSE3VgrUr/MTf8+a50e+T8IN6L+g1U4FFY/Uep9OGARtni79Cj6mNbBwNAiLPpPV8dSsNNPRJe4asnqeiQN0W+nYGGcy8G0f+BC6e0k6TRjZGLHIuW+ncceD3n4Dpw9OCx3dDfilhy0JgxlvAvNHA5gXAQfGsXjwt/uspTl+O7xbnXKJ2KOByNSB7YfMkDH5jNtZGpv2nmEupSqhX1pjPIhlh26djwMRddoJAcQibOQK9Pl5jFWxyLyv2L5W2f/CPn+G9pfn4l/3nN2LEgG+w5Kz1PahpCozFHl+OwYMn4fcC+22N6whVQead4fbCefUxYMYYjOjRG6O/mowBjVQx5VxhLzz+tPEe7MLejIZuiAzFTuO5atkCXjYB2atBf0D8XE+zezv2ZvPLARfW+2J47xfxWO/RGLs+F3oCy3fmxRGYGBBhfaykOAQt90Wvgf4Iy07X9JiNWBuUwT8HE4Lx++ZM/qnYaABmTuiLAX0HYdaMAdn8R2maW+FB6osYedVT9R4qrFIHJcUcxxLfERixKkqVEBERERHR/ReBJWO/wxixjJu6CXsTPPDcG29j1BPWg+rW6zUE/20FBM74Dm+NGIcREwMQUbUtRv23A0qqbaR6Daoj4dwVxNfxhGVq1jp1Ue9mNKJuVUejOqosO8p7opZbLDZ9tRB7VaAz6/Z44alnKyN5pz9GiPq3Ri/Argrd0aepVqm4w+flnmjrJu7BV1/qx/nfEdTq4pXWdjmccJ0yOL1ipn4csYz56SKq93gWbdMNfyzYtrV8a3RrXRonftbb+ZbvJlxt1SUt2O3A8Zt2ehjVokPxzQei/oOZ2OVQjwAHFWqIPu+Le5Acgqlj5fknYNyKK6j+7H/wZhvL15IdlqdtJSIqgIwgWVZL49aAq5vaSThzGDh7VGXySPwNfdjZ9TPT5q2VPRBz2sNx+1Lgf+9kr3fvIdveseLvaeOeyMBqy656ucxLf66y7u0pg5pXbGIpHfqKv+HLAD7PAmXkX+hq52uRetDzXpNB48M79ICw3wBg6RfAztX6MMwRYXqP05vXgQPbgMXj9eBswOK0z0QKXK6n6jbA+6m0+2RvkcFajViX9gfc3bDC8rOVjIBw+ariD3lsdT4Ltf7XenGvZ+nr2XXzmj408o+fAXt/BWIyGMjEOO+utcDfmQxnXVA4pQpq/e4cmY++b65RvQKd8WCPDzB2SHNUMbqYJUUheOYkjNjRAFPnDsKDpm89SLGbfdFt4j41fGhpPDP8AwzvXh/uRjDg2nGs/fZL+MU8D/+vO6OKKUhwddVoPDPluLbe56uVGO6trdqQPcLewET5oTUahLVTO6cNnxO5ESP6ztYDVbZ12ZEQilkDPsP8y3q2ZptBGDuiM+qV0vOI3IdZn36J+Sf1gJCL1yCs+C6H57qfTPfLZ/gM+PVI+ydMvhY8G63f36ivdx+Hne946esZOPRtTwxeo69n/FyZhWJKh8+gf1mjM2YFiOdcW88dSTu+QadPA7V3pMqLE7F8SH29wkS+R53EeyR1Gv0jxnY0/Q2PaGx6/zWMDRb/qH2xO7yWrsEKUZp+u8yZ70ua+hjtPxHPqBGsHGb1zoj3fsi76P90LfEP6+s486s/Js87Bu8JU8S9z7x9tm1y6TgKm0a3StfD1Xx/NHfzvmcirT25/xxkzPQzLsvzyvlm/bEzg2Esbh75Ayu0OXRLY8DXMzH4IePLAJk843Ko+e1TMdI3UP97wEXUrxf12QzoEhERERH908TGJcDdzXb4onwuJRY3ElLg7FIaxXJlLlgHaecFipVwh/GvEE1W7TH2cxP7ZdL1IDkhGgkpRdIf3yQ5TmxzR2yTxbHstvWWKBP/aM/x8e/Bfbfcg6yuLyv3oK1ERAWF7FXoKNkLUg4Ba6hSB/jPeJWxI+Em8MfPwLG/gEoP6D1Cm3aA1uM2K5GngeV+4r9F7Mze90AjoM8YlXHQ+v8BoX/o63L45X6fAhVFm7Iy533rgGrP94ASZVRG2fqjHriU4SonJyd4egEvjtaDhEG/yC1kGEuPzj3SDWjwiLaquXkVWDNN/NVk6ofTeZC4T4+rTB6SPWFlIFT24rQnVfzPyYhgZkD2Fq5YQzwbsueyDNeJ669QDegyRK/PjOyFGx6qMkKHl4GWXVQmG2Sg2BzIrimej/Z99PVrF4FLf+s9ey/Yedaze6/lMz3vI/1LAcanqi7bQj7fbqWA67LPj9qoRFng9a/0Z6+gyqUeshFY4ZcWjPUZ/j1mDTcFYyWXSvAe7off/QelC8YiYRdm+qUFY/t8NQWje5iCsVLZ+nhm/A/43SYYm5/Ebl9uCcbKYOvkz0zBWKlycwz+egz6VNCzSaHzMX+HdW+9JG3+zAzmYkxSdWJJymhI1mvhOBSwEUu04VL9sVbOZZrBtkmx6nhG70Nt7t4tWCH3nbMRweE2wxEb83tGXrcMYZqUEG9pU6ypZ7Pl2LZzgSYY5Rkv9q4tbT5ecU0Bx3HBaHNGbkchTN2HJavUXKpVq8H40ki+kyTaG6TuvVhW/Jr+Gl28ffCMWr+wI9TOkMjJCP3LCDZ6obVtEPPaXvweLFec4d3iOXi31EqxaWv2hi1+cMiP2LRKLn4YkZNvPZtc/dVfvTPO6PWZeO9f9EKVUm5wL1UND744CrOWZh2MteIp9hNJ0uYgO8M6R2PnJv3+yHPYZZnDVizp9he0dyRtfmttbmtzF1jt+Y7CFUtZLG7ae7Yt50l7P2LD9+nH9d+FC+ZzO/BsZJ+buL+DMHi4neVVb7hE6u++z9CJpmBsFgo7o0qHwRisnisknUa4+nlIREREREQFTBF3lCxxHwJt2nntBDOzao+xXxa/5XIuVtr+8U2c3dQ2Wf3GzF5bi2bQfpNMj38P7rvlHtztbwTvQVuJiAoKGUgyFhk4Mudtl4atATfTsBMXTurzydpzIhiYPRII2aIHsc4cArYu0od3/WsdkJLJ7wjlPvPHQA/GivPakr0N5TEctXNVWjBWHk/2+Fz1nXUQ1B4ZFNaCsTKoJlSoDpQsa31P5NL6OfFXi/gLVAZjJRlklD1j9WCspJfXayHuYSvrfUuW14O0ZpvnA5fPqUwuk72OZe9X+TnInrBGMFZrofxDW9HZBmPVbUgjquUwzVowVkhV1y+vx3yNxiK3N+cfbKttbpHTYYvl52vW9Im0c8iAseyN2+lV4OWxgE93fRtZJ8lhhmXQ1lHLJqX10FaH0I7lXgpoID7bzq8DfcWz++zwtF668r7JXrWb52mbF1i5E5A9sgVLjK7Vnv0wIrMek3aCqbE7tmCF+uHh0nEwhmQWgMm3va2isG2d8VUENwx4PYPAsbsXhgwRT5UmGSt+D1aBaCkUM7X5M8Xy4RbTvI26q+t91fyar2DmflWoxB7fgilvv4LHeo/AYN/ZmKINl7ocEz8egU7dP8OmdMMjR+G3D/VjdZsp2n12Cya+8jJ6vzkdfnJf/9kYPvA1DPY39Zm/vAWfyfO/txxhqih4jji+alMneRxN2rE79ZgP8feExaGZRnlGiy9+MwdxLu/D/DfM8/GKa/Idjd7d38DEzfaHRI3dPx+Du76BAeo+TJnii769X8PEX8JN9zqfiNyHJR+/hU5Pi/Z+rO69WPwm6dc4K9gUFC/mZQmi4nwwQm3nbL19DHt3qPVGreAt/mIzi90diN+1tVZo0ag0vB5RPWyzO2xxMRkwlUvxu5wfOAK/r9R7tsufG33ap3/vXTIKnGZEvF8ttCGyA/HbDpsvFFgC0m3Rp6f1sFwWxjMuF8vzrFzehSnaO5I2v7U2t3XvF8U7p8+NrT/fb+Aj43MQ7Rhh79kWz6he9ik2XdaHa+820Fc/7px9uCjva3aejVyTjENzvsES+Tx49sXwbPd+d5G/f1Aqorz5CylERERERERERET/RDKqJBYjgGXOG+vm+uadRF5S0TnZy9EsIRZYN10f/jbePCy82l7Wb/MHZrwNHNR/4Wvltx/0xULsV7oS0MI4ryKP4UggTZsP9Wd9XRtvVSwyuR4JbP9JK87QIeP3pPLaRVKnmb5u3A9jvXgp0b6nxLqgLlMb7tesah2gdQ+xYmd/OZ9qddOAkjJQ/Mv3KpML5Ly08l4vnQh8/1/9M9OG2VX3w0Llq9UD2vYCnhOf0YAJ+vLSh6L9z4q6Bvqmsum2+8uyut5A+erW1ycX4/kx58tV1YPchpjLwEnTAJGOkMF785DBsvd0mcrW5zLOJ4Pm9R8BPJuIMtV2+cWAtdPEugM2zdN7lJsuGbUeAroPA54fBbR6BqjkKQrV+R4V91CjdpDPU0ZfYCgIciUgeyb4L1xQ6z7dHoGcj9lx5l59zujVKf0wowVCTBiCjTGsSz2B1pmMhuvi0w7Gc4QdoZbgZs5FY++82VgSGqcFHLV5d6ua5t5NCMXY9+YjLKOesjumY8Dg6VZz/+pkcGY+Npl7AOY1T294qR7EiA3FlDd9Meu4bJczynk2R5+uzfGgvK6kKKydOBrzjXuuJO2fjcHvrcEhI8Av5zAW96KcSzTWLt0CLR6Xj4T9MhVTgvS5U422WuZcFtc4/+Nv8Lvl/ruhxRPN1fpxBIvP28rxYGxX1+0jtrMehjcaO7eqAKOaW7bcQ95qjtR9CN6fxVeZ8sLltPlu6z3WPJs/NzJwuxpaP6H/zbtpU5BVz19LQLqDD6pcVYFgh4nnbdwkLNHeEWc86PMkBvR4Ep083cTPK/GeROZ8cP4LK7/B4KWmLwvUqQaPwtl9NnJJ+C/4fo18rtzQZ+izqJndL8Cc3YjlAfqqS0cfeBfg4SOIiIiIiIiIiIgcIQNHRvDKWM8sX6e5Me+pWAQ5j2jYHn39yJ/ArHdNgUwztb0hLgbYMAtYMAa4eh5IjAVWfasH2MwRr2r1gWfeALweA2o0VIWKVeDWjsQ4YO10fV27BNUGoyl7NmY+ZLMMqsqmyO1lKgN5tvfDWGTvYTkss6wyGBNuyiF9H3/Zenvb/R/tCRQ1DeUse+YGLFKZHIqNBv5cqfeGlffaPDywRrXDpSjQ6FGgY3/glbEiHSA+Z2/9czbaV6ykPtRyx//oPU3bvaAHP83zCpetDLTsrG9ve30Z5W17ye7brFYclK537OPWx7c9n1xk4NSluF4mXTydFrTPiBx222ib2k3rEdte3AcZWLZ3Pnk/mqneusZOv83NvHd4fpYrAdnYq0ZPRWfU98xuj6pruGLp6VcL9cWLdV8lxeGqaYhRy2JvCGGz2LRhfFG/dubBpWLVUFM+YFJSFK5kp3eiXaXx2JB+6NR+AGb5r8Sm5TMw/0exLP8Bfh1UAOfyRvxm06vW4nIUwkq1wti5S7EzYCV2bv4xbT+E4rcd4qeOVLkz/ET92uFpXzWRc8hq+8glizlZpQffUdsay+YZGO1lnKsaRozprYJAyQie4oslWo/C0ujzxQ9YO3cMho8Yg1nLv8dorRdkNGbN22IKukVg7ZSNaUNnv+qHTav0e7F2/QxM6Z5Br8j7qF6/wejj1R1+c3/E76qt85cvhf8rqq1J+7B2e1pPYHfvVhB/b2o2/RVq1eM37YsR1dDa2+Y9jAnFThWN9nmkHrROjJ5eeEz1YFwRaO6pfY+cj7AEyL1qiPbGhGPTdF8Mf+UNDHjlM/j5B+JMdt+NIxHiAtvpQ1MHb8U2y88Wowe7M3o95o0SeqHjLu/D7yr4X++VLzBrwlAMHj5UvDM/Yt2MdzFldHetR7z+fI+DGl5fkPOsGs+7vTl2j2PW0n3ib+fOmCLeXW27GeJYoia7z8bdi0PQ4p/1Hu2ez6OXt/FeZiQUy9UwynLxe+81dBowX5tb2kX8rJg6vIB+uYaIiIiIiIiIiCg7VKAoO2mLp9W6CjjKoYhlr1g5F2q8uR+OqJc9IHu+qwf75PCxRrlBBsNmvw/MFNvYzmUq55yVwcEi8hd14rw+z6p1SRzj78PAYXvBX0XO7SqH6JWnk0uVukDzjiqjyACZPXKIZbmvvGwZWK3eEChqCuLZS9s+r9qnTiirZDC202uAszFMfgb7y4Cn3F+j2ifn6z38p76eXXL43/+9DQQuVz2VTddsrMu5Xtu/qM9327KbHvwukkU7ZeosrrFWM33O1z6f6PvL3rTPvgW4GAHaTPY3pzW99PlVDbIHqQzQO0IGSG+a5hiu7CmeMSOMksl5ZRC5nbhu8z2Rgd3zJ1TGhhw+ev0MlZHEfvJz1YY/zuQ80kNPAqXKixWxj5yTV/bm3bFCrytociEgG4Xwk2oVteBhE3C4+uskDNACLOZlEn63DEt7CWcsvRxroYrRO1I5NMd2X7n4Ww2Dm6tO+mOAZYhR02JnCGErkVFpvS8rl9YDXhlyhotlKM843LQ3V2V2eXbH2M+640Hz/S/sBp9O7VUmGWfOZhS8aQW/uaPQyVMFYKz2Ez94/s6jwdaFC6u+xcRQPdjtM/Rj9JLd0aWYXVi7WS+v0vsDDG9p+ppI4Up46nn1tY/gUIQa9888dHajAfjoFc+0gJDYx7tt1gHje869FYZ/NwA+ntZD89bs9CS81XrQ35fUmlDWCz5aMFqQvastvZ6jEPqX+nyrtoO3zRcbYndvxyZtzRysrY8W7dVnHmBvztU8JtpuBIGTTv+CES+OwNjl+xB8Pgph50OxYs436Cv+Jlrr4F8eFpV98JR2845j7fYIrQhn/8Ja+XPGpRUe847DBdNI3A4x9S6PvXzdKnjtXr8tvI0vWOSES1tM/HoQvI131+iVmt1n426d3Yp5Afo799jz7RzosRyBTWoYZbms2B+tfznC3RO9eraCB3vHEhERERERERHRv4C5V5+jS/UGQJU6cmf9GHKoWaNXrCrSVh7uAjwzDChdUQ9oynk1H+0BFJW/MrRsqEswArmyXCzeT+nBQvN53UxDAxvRIRl0lT1hbcmAqjFvrDykDCK2ex546AmgpByeURYKkWeAYP2Xz1Zkb18Lsa0crtjcFnuLPO7jffXtZfs8xD16+nVoPVDtbW+71GgENGqt7y/+r8UL5XC6cmhlR3tVngoB5ryvz41qNUeuul9FiwH1WgLdxWchP5va4rpksNheexxd5LzCZT3s1zmyNJI9lERq+D2LoaQNxhy92q7iD692acfMapFDRDduY+ysk/daDu9sJp8tOfx2srj/2qbij2IlgA6vpB0rq6WNHHJWrquT7VoLRP2trRYouRCQLYqilmEtxR21HRY34TrCtACLebmOm6btilqiZsm4Zbt/rO2+crHz0+F+K+acFsBIyqI3bV66nYyrJ0OxyX82pnw8AgMmbVcVmQVvyqCEbQS5QkU1nK24HNvPJLeEL8fY6Wro2EYDrOcePi6uQa36NKiWrsdyWpsuWXoYXz1+3DJ0tvdjtkP25n9JZ48jaJU/Zvl+hgHv/wzL6AcnI0xfBqhkGZIXSX9grzHyrmnI7CptvFBTX1XisHerGhbcJlhbr5kxn3Egdu6+f8/t2h/9EVzjSYz+6nvx7PrBr7en/qWGpOOY+Okay+fqmNLiHunB90Ob9mn7Xg0O0r7E4fL0k/Audiv9z5msVPZCa/VlgQu/+qLbAF8sCQhHbC68G/X6PQ+fzL/B4eCzcXcuBG1RX3Rpjk4+pbW1zFVDpx6dMcCytMVjckjl2HAsmf4Zer0yG4fMY0YTERERERERERH9A5kDR3rQyLrMvJjrH+kqVowehio15miVvQd7jQCatE/b19hfDnvbR/bI7Ay4yh6nkmn/okWBzgOBhzpY72vs3/hR1dNW2ydV6/35+xK5nkYGL3+drTKS2Fb2jC1eUjuEFig2zinJgKfsDWuQgUxLb13RKBnMfaCxWJftkIlM7SyyskYDoMtgoF1vkQ6yDnY6sr+8LzKwK5sni6SgNcC0N/XhhxMzmH1Ozom7ZALw81f6cMdWxMFqeQFP9gde/kyfH1b2jrV3fi0xlZmXvKqX887KoLUxxPOJYOCvdfp6Rg5sA26qKfHkfmVU0N/e8Y3F9vxy6GK5n/EsRF9CumGi10zVy6U76g/Z21sGoc3HlktG1yd77tZvkXZ90saZaqUAyYWAbGlUMXo1IhxnbB7Uop4+ll/Y9/Ky7umlq6h9y0F3ChcsQ4zqyjZO+4V/J5tef/YkZTi0cDKSHBn+tE5fzF/1IzbZLl88mXmAr2wlPKBWcTYqiyDJJVy09Cqunq5XcI7cjkPYqm8wuPuLeGbwZxg7ZyOWBIUj7FoOg2zF3PI2oHn7OOZ/qHo6u9THaDXkq+Hq+bReuSt87fRY9g1UtXFIUt9suSkHdFfqZXvo7PvnatB8jOjxIh4bMBojpizH/IBQhEXq8wHbU87bBw9qa3H4PVj1AD15TJ8fFW7o1jZtSGlNzD78bvzld20Dxpp6mw+euc/Si/i+DFusuHgNgv+MoXjGuxrcxU9Xn6F+mNpb/bwI3wjxKGeLe3vx80auhG9BkHgfd26VkWs3DFCB2uyrhl5fjEKfynqP4tiz+zDFdwQ6dX0DY+ftw9W7CMyWc894aODsPhs5F4XgQPUs1WmCepYe/JnxQu/hgzDYsryL/1u+VPys7Kx9ISApciPenLLrvj1TRERERERERERE94IlkGQsMuqi1m1Tc72cN7PZk3qZUV9BlMmgn+x5qQW6VLnt/oVdgCaPAS99DDz6HFCqgl4ne1k+9w5QpZ6ez2j/Nr1VuawQ9gdYDze7fSkQrUY5ldvJ43sZwWGxvxwmVwaNDUmJ+j6G0/uBWwn60Z0KOWnbF3FO29+2Xbbt86gN1Hs44/rM9pdDBj/5Hz3gJxn1sgexHH54mri3MjBr7skp8zPf04dwNmj7CVXr6PdZDi8s53x1pP33ul72mG7/kr6ulQvb/PWga0aCVuuptrn4w7uj2j+b55c9XWWqLULIVv3zl+R9lUMoG+Qmj/URz7l4dhw9vpHKIaGLl9Dzskj2zN77q1gpQOSl3TWPB9ICQNtDjC57OveHult+YT/gMWPwabNK8KxjBCTCEXzEuvdrlY5pv/Dv/ZAqtFGirPzJpLtwTYX007mOC0aw2BT4S8fFDeVKucHddskkaKKpXA31jcjWkWMIy2z418gIHDeiFHWqwSOz9jgkGr+Pew0DpgTikDive/0nMXqCH9auWYqdX3VW2+QvYXO+xCztB7ozfIa8g2dsh3w13ZMHfdKC8umXJ1FfBY9cihlfB8osMJ+/hM17A70+XoOgmGS4VG6O4aMmYvkq8bn5D9LnQbWnRnM8pe5X2F+hWvA/bO8feuCr1BNobROPTRuuWEiItu5tbg7u7QhKG/75XhCfsfHKPNPzSauAvFTvkXZqLUq812rVUcW88VhH+c5G4LeV4v7K3sPy3uQ0HitVaIXhPy7C8gm90cnTTW97UhQ2/eiLXu9txIVc7kmeo2cjp0w9rF28PB0Yrjhj7i07o5d6PpO2hyJMXyUiIiIiIiIiIvrnkhEijerC52C+eadUrZehHJL1hVHAs2+noqbsjePg/oWLpKJha6C32Hfgl3Ku2VR9PtEs9i9fDXiwrciZuhxuUD0OL5wE9mzU1yW5SdsXVMZ0PDkfrXl/GfyLVB1rjgbpqZzzU25Su7meN++vy5t8GQ+g1/tAw1b6+bVmylQkSbdUYPZNYMsCYNYIPW8mt5O9gdu9kIrOgwE3y4CCskbI5fbmRl4Gi5s+pq5XL8XG2cD+rSpjIucNNgLucls5JHbNJkZOyMb55RcH5LNgVMlk7QwgdHv6++rVLhV15LOQjeNrRF4OFe3T3fr6/lgKxJrmwM3vciUgm9ZjTw7nuRXB2Rymsl6LVpbAzKZftmY7sOFSoYwlgBB0ONx+j6zw45Y5Xl3qVMuD3p8N4G3Mx4ld2Lk742GVz2zeCPXzCPXaNrcf/DifVS9bkyOrMXWHHoCs2X0c1smehj6emfa8uyt3GUBO2j8bY5fqvVldvAbgI/NQxUq5GrUsz0SJFmlB/fRLdzyoArJFXYw9xMue4Xy5+UhMIPx/jNKeV62H6I9j0Ofp+qhSKqvPrRq8O6l7diQYoTFROB6qP28u7b1Rz+rzSUboX2q4YhdPPGMnqN3nIfW3SdIu/B58DwPZng3wmFoNOnZareUWZ3GPntSeoUNrNmq9h+v1fNIyDHeOFXZGFZ++GDv3R2wSn9cA9WWSpNDZWKLeQSltGPYcyvGzkUPhRg9rwLta2hdccsYZLsb8sXZ/GBMREREREREREf1zyB59hcSipYWdsp1/sB3Q0AcoWcGx7XMr3+Jpcc6yTqJCv46rF4BN86DNAyoZPRPlvKIetdLvX/EBoH5LfX91CG1/2TNWDpmrc4J7GX2+Udv98zovA3htejuhzxhxDW3SeugWUo2Vc5vu/Q24dlHPa0Sd7GH7cGfgxdH69Tl6vvyQb9nNSZvTVvvslF/nph++2Jg7VvvgxOLdyf7xHM3L4L7sBS2PJQ+ZcBNYrwL8WlPEH56ivlX3nB3fyNdu7qQFnvWD6sH1337Q1wsCcQm5oEY79G2pAgUxW+A3KTBbQVUXny4YYAzbe2Qxxs45nr3f49f3RnsjALLjF/xmO7434hD88y+qp5YznmnWQFvLXc7wflYfqlMGwVZM97c/f+L5jZiyWA0Nivro1dHca7gMqhg9RWOu46q5t+LtKOz83X7Qyjx3qk9bL0sgU3M79wNs5aqKn75KtueXjQ3FzIkbcUauu9THR6M72w+O1/fCM+pCgn7aiDAHzlOuTn1LcDvs9104Y7tPUj6b0PLkMUvPVTnnrVUPUfG5ZfYO1PR+RF1rKEJ3h6rejc7oJT5/KwnB2Bmg1ts8jxF2gtrDh3dRgcpkrM2LYYvFsxvsPxtLVoVaD+1bygutvfXVC78GpfuML5w0ZkqthCryW13Z9VA7DLAMvVsNz7S310M/G2za51K1OQaPft4S5E3rnW8eht3OvNiOuItnIyeunj1tOWbNGnc53Hd4INYaQ7I3qgYPtUpERERERERERET5RxEXfZhbrbuh6nK4bzNwXfV1kj0R5Vys2nyxGWgp6mSg0+ixKHvXrvxan0PWoA09fB+5lwZ8noMWmJVBaDfTdG1Gu6XCRYAm7cR2HwPNntDzBVGHfkAVFcIxrk8OX7xng74ettc0R67YoEwloFYGo9Nmx2PiWSqt4nzGebUe0iKtXFMfijs3PNoL2ny5GnFwGfyXPYF3rLBedq8HDv4urndPWs/t+y13ArIojcfeGQAfFUA7s+Mb9H3FF0t+DcWZyDjExkThTNAazPo5g15wheuj7+i0YOahpaPR7Y3pWBtwHBdi5P4RCPt1PmaKHwZ2FfbCM/1UsCXpOCa+9xmWBITjqtj36sl9WDFuJEb8qnqsVuiMZ3zyqJdZo+fxUXfV2/DyRgweOAkrgiMQKyMdCeIeBMzH8MGzEaRFPpzhM/wdPFNZrhsqoYpluNlATPk2UL/+s6FY8uFbmBhqP7ha1D1tbt6gwH2IVQEgOf/k8HFb9ExuKlvGEoQK/nkNgtXcvMZcrhmLw6E532CJ6grv8+pgtC4mP1/rRQvyFmuFXsZnenkNBr+3HGGmYWuTrh3HpulrtCGaLRo9iT7GfMbh/vhIfjFADl2cFC3u/WwMHheoKrPv4pF9CA6yt4Tigt1hfiMQand7sezXez6imLMlgBz8+1+WLzHEHt+Iie8vtvTotquRD7ppf3EkY4XfbD1459IKreW3Q0ySdgdB/OzRdHrEJlhv8PTCY+ovoaTtWQxbfC3cdC3i/bbMyyzucXDaNZ6xfFZx+H3cWxg+ZyOmTPlMpOYhzcXPjZc66/cgZg3Gis/LCNgmha+B3zz1xQXPzvCxzFOdDeLnSuun1bvRqDMec2AO6gxdC8TYri9i+PR9uGB6zi/sDrYMyVulrBE1Lovylvd6O/xXqetIysaXI+7m2dBE4IJ6zxxx9aLxJRFnFHW4B3wsbpre2wviHdk0zxcD3lBzQ4tjdXrWJ2/noiYiIiIiIselRCNkyUj06vQEnpgSogptRePoqgl4vUMjeDg5oZZPL7w5L0SUOiByA0bKY9tbbM8XfRQrP38dres6wcmjEboOnYaASFVnlhKJgClvoquXB5ycaqH1axOw8pBDrSEiIrpntDktC+hSpQ7Q9HF5Efq1aNS6DLR27J/Ws9TeIof1ffhpfXuDMQ+rrJcatEy/3/1YirkDzZ8E+n4CtH8RKF9VlOtN1HpvvvSR7MEptnNLv29BWzq9pgdaxarF1kV6wH3nKj0vt5Pk52e7f04WF1fg6dfVPK/ywLJc/E/OayzL7e2Tk0UG2Nv01JouCvREDpdtG5ANWAxsmAWs/AaY/zGw+lu9V/T95JRqHuT7bp3diI/emI3fMwvoCC6Vu2Pq3AF40BjWUondPRtvfroRYVkE9ty9h2LJV09a/6L/dhTWvpdx0FLjUgkDJkzGYO+0AKYmciNG9J2tDyPcaBDWTs2g16YjRDt+HzcaH+3I7B8IzqjXYwxmDU8fIEva8Q06fRpopwecM3x6iJ8Wq/Thjvt8tRLDVe9CxO6CX+9JWGHvvlUojZqXo/Ueqd3HYec7Rg9Kcb/efAMTtZ6VnTErYJBl2GmN+Z5Y7SdFYMXAt+Bn860CF7Hd79p2GRz7uD/6vrFcb0smLNfmwGfqM3wG/ExDHsvhkAe8p3rg2srwXth36NueGLxGZTJUH6P9J6rAeiimdPgMS7TyTBjP2G1xHwenv48aF9HWYqKtMuCZwTMZNv0VDFhu+gnSYRR+H5M2/LcM1gb5vogRWg9ZczvTO/Tti+Ja5X12Fvd/adqzZSt4Nlq/b5pAIANpz2c4lrw4AlOM4KCXuJbvzNcSJ849XJw7g/fFRbR7rmi37RzDNtI+K5tnWQaQj19H0ar18WAN4703PZ+299bucx8n7uNr4j6mPYfuZSuhvPyShfGzzrMv/Gf1Rk0VzLT/Hps+A9N9tH2GNTl8NsJmimdiqfFMVMKIuTPQy4Fgdtr9y/w5cfgZF8/Rgy+Ox9Qh9e1/CYCIiIiI6F8kNi4B7m42vwC5p0IwrdMw+G0OEv9CU8bvROonPipjSETQ5x3Q+lPxL6I6PhjYthHC96xHwKFI+IjtA8T2rmpLuyL80at6P6xUWSvm88UGYULH1hizC6j8YAc0qnARR7YdRWTlDpi8dj1GtDDOEg7//7RGvx8jtfZ0EP+2CdeuwRMDV+7EnB4Z/sOFiIjontKHvJVhFhkdKpjpismpuHpR5I1isdLuBSc0eCTz/Yw03f6qqlr9VHQZnH77/JLeik8VixNKlnds+4KUxsU4Yf3/UhF9yclSaqt8tVT0fDfz42Q3jbnshF+mpiIx1glV6qSi4wAnFC3m+P6OppvnOyE8VORTRd5JlcvEYN5ccXXTg/HNnlQF91gu9ZBVanTG/62ZgSmvNE8XbJVcStVHn1F+WPdj+mCs5N5yEOYv9cPYrvVRzs5v8d1rNMfwCTOwyTYYKxWuhGe+nokpve3t64xyXt0xZf6M9MHY3Cba8dj4H7B2Qnf42JnvUb+G7zHfTjBWcmkzGLNe8YS7ymuKeWLwFzPhN7yV6kVsw70Vhn/VG95W99QZ3l3fxXL/iehj02vy7lVDr/Hv4pnK1teXFBpuGTrZrti4LIOxVrTP9Adxr9qmf15c3ODTdSiGtLcOZLk8NAizvu5tc++dUa+9eLZm5cW9uAuF7d1H0daWfTFr6Q/4qL0qykC9R9pZPUO92npbP1Pm4YqresMrk3+rPthWn29V63EbaAwVnBs84f10JXVsZ/g80dzm3XXDg+9Mgb+dz9i9RluMFZ9ZVsHYTJUV5/cRP48swdicEM/aaPEcjnrS8lzFXjOCsfqz5f9dWjBWsvse4zjCTjrYSzaHz0a9Z/vjMct9FG0868j5onHBXuA328TP2cri519X8Q7+uAizGIwlIiIiIspHisGzYwf4WKZXsSNiJSbLYOxDH2NnyE7M+WEOtoZswORWQNCnU7HBXg9WsysX9YBvjzk4cv06rpuXd9OCvyEzhmnB2GafbMXR0K3YGnAERwN94RMZgJHDp8HoSxu9aoIejH1+Dk4f3Ymtm3bidPhi9K0cjrlDfbHhitqQiIjoPtPnt3Qq0OlTg5y0nocyeCXjVw894SQHaXR4/8f6yb6Q+v4GuerVzrH971fq6u6E0hUd374gpSXKAM++7YSK1UVefR5mMv9IV8eP52gqe+Y+P9IJnfoDzwxz0nscO7BfdtN2vYGylcVzp11Y2vOn5WVq5PVEW2QPWTnn7M9fAfE35Ab3llOu9pC1kSSHn1XrKOwCd3frAF6mbicjVhvrV3Fxg7udIK5dtvuKT9z9PkUGkvbPx4D31uiByAqdMWvuIDxoHaWxLyFOH+pYcHF3g4sjw4iar/seXbP5M3a4nTmU3XNZts/Os3OfFKS25kRSrLy+LH4GmJ/f7P68uIe0a1FDCGf5niWJ99joRZvDzzbbz4bpPub1O0lERERERFm7/z1k0wR97oTWn4oVez1kd02Ak88Y4PnFuLisL4zv9Or7VIbvnov4uIUqtMfY/5UVuLiwp2V/a+Hw71kL/VY1w+SQfRhhma8sEv4veKDfz+I8QeI8WhBYnPdzYNia65j6jJoeSgj63EO0JxI9/S9iRR/2kiUiovvPmHO1oLt5XZ9ntJwH0LSDKswGOVdngL8MOun5MuKv6Rc+1Nfp/km+Bfw6Bzh/Ug9KSvIjeqAR0HmQni/IblwR/72dwQCcd1L0eY33bVUFgnEP5BDWT4vrr38P5zgupNI84VLKDe7Gkt3gSmHntH3lkp1/u9juex+7abk8ZD2v7JuDTfPKSkmm4I6ZDPSo9jscUDFf9z26ZvNnnNeBn+yey7J9AQhwFqS25oQMDGb5M8D8/ObTYKykXYvRzqzeMxlENbbN4Web7WfDdB8ZjCUiIiIiIoc1aIZhMg1cjwDL8FbRuCi7vVbuhWaZ9a41q+uBykhEdHSiKjBTx4MnPNJirEJl+HSUv/mNxL4TcoNoXFc9YEuXsdoQzVr109KVR7UDERER3Xfm+S0L8lKyLPDEy7J3rP36rJb6LQGvtvKG6EvrHtb1XO7PIud27f4m0Li19rhqZK/Vdi/Y376gLaUqAFXr2l+qNwQeeQbo9wlQTeTF5hYJscCqb4C104FbWUzDmlvyNCBLkhseHD4R/9dG/wdEUuQu+L3/Fjo93ROtO4jl6VcwZYeDw5gSEREREREREeWF0l0wwr8vKkf6o5/PExg5LwhHN0+G77zK6Pv1CHSxjoumE3nuiL6ysB9qORVDmTLF4OTRCP2+CkJapwUPeHrJdCUCQkxdGVLCERSo77/yjBwbuTQ8quu9XzcEGYMYS9EI2bVTXz0WjqxGUSYiIro3ZH9DYyBSY/3fmW/TKxV9P0lF7/dTUb2BLLGuZ/7+5WUA9qWPUvFoj1T0eCdVH6LaVK/7Z+ZLlkvFM8OAx/umomhxUZaaatni8A5g3odA1N+qIA/l6ZDFZBaHM78uwJSZ2xEUYx2Adek+Dr+/o/2LhIiIiIiIiIj+QQrMkMWaSKwc3AG9Zh9VeaHPYlyUgVqVzUj0xpFo3mUxXPv0w8BmHsDlnZj21UptXlmf/9uHgNHN4Cq3W/smGnafJs7kiZ7vD0PrChexb+FiBFwRZ4+MTGvbfj+0bjYSQeLMHQYNRJe6QPg2f6wISdC3sxlamYiI6H6RQ6YSUcEg55H9cxUQtlsP18petjJK6lwU+M94oEJ1fbu8wIDsfZAUE4UL4edxNcENHo1qoUqp/Ds8KxERERERERHlXIEJyMYexdyhHfD65g5YvM0XnkHT4Pt/fthwEqj8ymLsXNgXnmrTDCUmAq4y7KpL3DwSnp38EIlhWH99quplm4ijS8Zg5Kf6sVG5Ifp+tBhjSvui0X9WWrUteocfhr0xGf6HZF9YT3R5fzKmdj6KWh3Sz3VLRER0v8iArBbYEQtTpkwLRnohDNg4B0gyzbIhg7EDv1SZPMAhi+8Dl1KVUPOh5vD2qc9gLBERERERERHddyGzB+L1H4ERC+eibwNP+Lw6GetDjmDOK5UR+WM/vDnPgTlbTcFYybVjLwzU1qYh5Ji2IriiYR9x7BOpSLh+HQkXj2Dx8GZIjNCHIpbnNpRuMwKLQy8i9abYLvk01k/qiWJX9KGNKzdryGAsERHlC7ZzWsqIj22ZeWF9+jLzwvr0ZeaF9enLzIuj9dXqA73fB4qXEGXK5XPAztUqkwcYkCUiIiIiIiIi+leLxNGgIJG2RvOGpqCqe0P0e6Wftrphz1HTXLAOSkyA3umgmW2sVuNaurQ2jDEQgoBlshdsMzSvayfM6i62KyJXorFzo79W1OvBLPvrEhER3RtGsKeQSm3yrLfOs946z3rr/L2sL1MJaPuC2Mbkj2XivzgvqUwuE6ckIiIiIiIiIqJ/L1eULi/TlQjYYx12DT8ZoqWVPcpAG3EY0Qj4vBee6NQLfruMMd7C4f/eSPgfstl3yTT4yZXKXdCsgVakCd9vHdwN/3EyJu8XK52HoedDepkUfSgE4SkqI0TvmIbJ88RK5Y/Rs6PeGiIiovsto8AP88wzn//zdb2B6vX1vOHX2Woll3EOWSIiIiIiIiKiPHK/55CNXDsS/aboQdWE8AAEyXlb6/igg6dsUzOMWDgZXSoDiXsnoMPDYxAET/Qc74uBbUojesdcjPl0JcLhg8khOzFCBksj/NGrej+slAd8aDL2hYxAw10T0NxnDI6iMho+0ws924p9t/lj2kY5zHFl9F0WgsXP6z1fI3/uh2Yv+AMP9kW//3gi0diucl8sDlqMvjW1zdLaU6cLhvXpANeTc7F4yVFEirb4BgXg41Z2utwSERHdB7HX1Yomo1krDaxnPevzW/2Nq8CiccDtFJFTm/d6D6jbQl/PLQzIEhERERERERHlkfsekF3SCx59tfCpHT2x+NwK9K2m56L3TsOwV33hf0gOH6yr/PgI+E33Rd8GRgA0HCsHd8Ww2TI46oudqR/DR5RGH/KH76gx8NOCsEqdnpg8axpGPG4ahjj2KPw/fRMjvgkQ++s8O4+A79fmc0jRCPpqIPqNkgFhXeUH+2LkDHG8NuwdS0RE+UecMeyDEd8xMM8882nyeX7fFuBP8Z/MRnGJssCQr4EiLlp1rmBAloiIiIiIiIgoj9zvgGxOJEZHq7lfXVG6tP2eqCFfNUdz/35aD9lmqkwTG41obZjhjPfVJIrttJNksV1KIqJj5YZZbEdERHSfxN8Qf8goi5NIRKr1sGOeeeYLVF6uL5kIXDkn8srDnYEnXlGZXMCALBERERERERFRHimIAdksnfFHP59+iB5/GusHeapCIiKif6eEm5b4jiXAwzzzzBe8/JUIYIkvcEcWqLL+E4DKufSfu4VUSkRERERERERElKnEzSNRy7MfgjqvwFQGY4mIiLRgjozs6DEclTLPPPMFLl+uaioefExmjVpgw0xtNVewhywRERERERERUR75x/WQvRKElaGe6GmeF5aIiOhfLDFOrUgy2iK71RmYZ575NAUgn5QEzBsNJMSKrMjL6k6vAs076pvcDQZkiYiIiIiIiIjyyD9yyGIiIiKysArIElGBd/wvYOMclRGKiv+UHzQZcC+jCnKIAVkiIiIiIiIiojzCgCwREdE/2614tUJE/xjLvgQunABSZRfZVMDTC3hxtF6XU5xDloiIiIiIiIiIiIiIKEfk/JN6vzc9ZZ555gt6/sn/AHdk/o5eEh4KnDmkbZZj7CFLRERERERERJRH2EOWiIjony0pUa0Q0T/KHz8Dezfq88jWawk89RpQvKRelxMMyBIRERERERER5REGZImIiIiICqafJgDNOwH1HlYFd4EBWSIiIiIiIiKiPMKALBERERERcQ5ZIiIiIiIiIiIiIiIiIqI8woAsEREREREREREREREREVEeYUCWiIiIiIiIiIiIiIiIiCiPMCBLRERERERERERERERERJRHGJAlIiIiIiIiIiIiIiIiIsojDMgSEREREREREREREREREeURBmSJiIiIiIiIiIiIiIiIiPIIA7JERERERERERERERERERHmEAVkiIiIiIiIiIiIiIiIiojzCgCwRERERERERERERERERUR5hQJaIiIiIiIiIiIiIiIiIKI8wIEtERERERERERERERERElEcYkCUiIiIiIiIiIiIiIiIiyiMMyBIRERERERERERERERER5REGZImIiIiIiIiIiIiIiIiI8ggDskREREREREREREREREREeYQBWSIiIiIiIiIiIiIiIiKiPMKALBERERERERERERERERFRHmFAloiIiIiIiIiIiIiIiIgojzAgS0RERERERERERERERESURxiQJSIiIiIiIiIiIiIiIiLKIwzIEhERERERERERERERERHlEQZkiYiIiIiIiIiIiIiIiIjyCAOyRERERERERERERERERER5hAFZIiIiIiIiIiIiIiIiIqI8woAsEREREREREREREREREVEeYUCWiIiIiIiIiIiIiIiIiCiPMCBLRERERERERERERERERJRHGJAlIiIiIiIiIiIiIiIiIsojDMgS0X2SjKSbMYi7Ga/yRERERERERERERERE/zz/iIBs1MZP0P2F1zHzoCrIR/Jz2/7t8vdnE4/T2xZjWcgVlf+Hif4LU4a9gd4DR6DPwLfQZ9ExVUFERERERERERERERPTP4pQqqPWcu7oNE8etA3qMxujHy6tCs1Asems+tvsMwOw+Xqos98jA2qB5F9F1zBwMaaIK84n83LZ/u3z92ZxajP6jt+E6msN32VD8sx6dZARNfQMT/yiO9m+PxH/rJeNaodqoXk5V51tXsOWzwZh2XGWVUjUfQdtH2uPJJ1rhgZKqULq0GZ++NUP89LOmb/8UnnnmIVQsogozc2M/Fi26jLZDO+IBI78qEZ36t0JFbQPg1sX92H06UeWsVWrYCvXKqox0KwJ7NmzGnosxIlMKlR55Br287f3cVm6cQuDWPxAqty9aDQ8/0xsPGyfGDYT9eQRRKmdP6VrN4OVRVOWIiIiIiP59YuMS4O5WTOWIiIiIiOjfKHd6yN6Jx/XIGFxPTFYFtpIRJ+qj4jKqv89CpqP7C59g/WWVJ8fwvuWdmh3w3x6P4IU3nkJtVZQn7stneAwHg0TS4Cm89mgNuFUoCMFYXczFIwjc7oJ67dqho7Y8gkrX/sD0oQPg3bYnvg6+pbYUbsfg7HaxfeFaalu5NEPpk2vhN/QlNGo3HOvOqW0zc/UwVuyVwVPlxG94Z691z+mYXTPQo/cAu8u6cLWREHPgf3ip5ZPo/NVybP7jD2zeMANDurWB97vr8Lfaxixm+5fo0bYreoydq2+/6HN0btoS7yyPUFucxjo75zQvU/feVNsSEREREREREREREf075U4P2cvrMWrYKuDVzzGps4cqNNuHmS9Mx/pOQ7Hm9eaqLPfcbU9HfX9gyLTP0bWCKswl/+Qesnl53+6Ff/Jn46j78xnm7c+DvHMFKwa3wZC1r2LjxQ/wsCrV3NiFr/sOwP+d64dVuz9BW9kh9OJyDGg+ButG/YQr7z6kb2c4txgDWn6Odf2n4NQXHVFKFdsV/CXKb2iF85+0hzzspbVD0OjkG1bH/HtxT3iPfCR9u8yubcYH3UYi7LnvMfO99pbeuX8vH4LOw7ej0w+78W1nUxff8MV4qfXniHlrJha8b9p+4zycePBVPFldz9t3C3u+6YnOW5/BtnX/Re6Pi0BEREREVHDIHrJERERERFRw5caIN/d1DtmkuBjEGb1qky/iWPBf2CuWY5GZ96RNijymbbf38Clcv60KM5J41nLcvScuIslq+2Qk3TTakIy4G2Jd5m178t5OxvUzoQ6dM1ttsyPd/uLcsk1W7U6U7Yy3uRZBbWu3I7L5GoJDcTrazka3462Om/G1OHbfLPtndD57HGlnst5OlUnbPt3nay1nn426VqMZ0adw0NG23Y7BucNy22PW57N9nuzeGnXejHqVm57rzN8XcZzz9j6HHD77GZzK6l2+eVa/R6fszH+rPWNxiJXriXHW57R6/pIRdUJv87k4rdYiKavPQLD/s8Vme3Ft+jmy/pmTpZKt0GtAK+DSdoSeVGWZqf4MXu4v0gX7EKaXZOjS2dOoWKqUFoyVEm5cRrfq1kMMX7p0BKhYFK4qb1fZjvjy10D8NCotuCo90PsNvF4RWLT9L6T1w72Bdd9/ji2N38Gk0Tbbd84qGAvc2v0tRk0qgW+nMBhLRERERERERERERHQfe8hexPqPP8HMii/At95BTFl0DFGmmEilzkPx7avN4abymttnsX7iRMw8aNrQ1QNdfZyxfttZ656Ol//CD1PmY8OxZCSpIsml5uPwHd8PDWTkQrX7mF6Vpm4PzJ7QFZXkeuQ2TPx8MYLMQ7q61sBrn43Ec7WLqwIhO22zx97+zuXRtWcN7F26Dy1M+x+c8zrGbPJI36vR3udwOwanN82H35JQnLOaYrI4fN4ejdGPmj6vg9PR3fcsXvMbCrfl32FmUEzavXNtgBHfj0T70mI9y/sWj4PzPsH4jWJ/1+IoI/LXxbldanfCpPEvoJaz2t4sG+3Ue3V64NNZbXHsy+lYdirtnrlUEJ/v9+LzLawKpLv6bPRnd2+vQRiSuA5frL9oep6c0eT1T+HbKX3bfOe1QtAo8cxrz01zfLpkKFrINtl7npxLwef1tzH68RqqQFLvjPlZ1MTj2NKJGLPC3A7xvjzeH5MGt0UZ83VfDcQUX39sPm+6btHmWn1GYlKbYxiTk2ffblvVu+w5FEtaBuOdL//S3+XHB2HNG4/omxi0Z2yfyijGObW6ixjy/VBgznj1eZXHa99/gecqi9XbF7H9+8mYYn4uhUo+L+DTtzqhuuXaVXuqDcKCdscw7v8Ccdq4BaL9z330BV4rtyPdtTXI8OeXIZMessKlVUPQaOh2fLTuGN7zFgWZ9ZDFLQR+3hQ9pts/lnRp0xgM+eGIeKhO4Thqo756CBLPHsHfRRuJfCMM+94XT1YE9nzTAJ2P+uLIrN6WeWUdp64Lpv1vbMYH9YcjbPJ6rOqX3UGzj2B6t574+Ymf8Ku4bs4eS0RERET/dpxDloiIiIiI7msPWc2fyzB+HfDcWD+sWTYHaxZ/jhHtiiNq43T4/WGaNxHxCJqqB2kavDgSC5aIbZfMwIJPvHAu6KzaxiT6GIKTW2H4JHXcZTMwrX8N4Mw2TNmkti/bCZ/N9RPnk5nyeHmiH5aI/JKPOukBqbh9mDluMYLd2sJ31gz9OEs+xZCGV/DD/83HQUvgMJttSyeD/cc2x7lf9iFKbZUjhYFzh8+iWu+hmL1Y3gexzB2EruXEOacvQ5BV8FO6gkUfTsQy1+fwzUJxzaId8r65JB7D/9ap8F0W9y1p92wtGFur/6dYs/B7LFg4B8u/74+XO7e1H4yVst3Offhi2HQc83kbC+T2S/zwaafiSLq8Dcv+vIvnJgNRK2bji2N18OH36jmYNRIvN0jGwTkT8cMJtZHFKcz8dDaOthiEaeL6l88bpAdj4wLhN2Ixgu40wHA/dRz5vPskI2jGeIy3et7ti9o4GWNWxMD7jU+xXF6LOMaSz9rCZdsCTNx0UW0lyGd3zAJsvuSBlyeod0Dco29f9ULreuLzzPLZz0FbDy7DqMmn0OI90TZx3UtetwnGSo0HiPP0R3u53q6/9Tk1F7Hhq+/E89cNk2bJe/epHozVPsdP4BeUnHbt4nOc/bYXkoKW4d1J23Bd299kx2wMmnoZHdXPliUTO6EBYrB66ocYNGod3Pt+rh9nmmhPOeDYInvPmeOiLp4Sf7bHA1X0fKbidmHzcpE+UxsP6CXplPLqjfeGv4GOdW+h04BRYl0ur6Gt+DGm53ujiTbW8RWcPSqSouLH3sn9CPxzl1j2I+yarHPArcM4sBao+GCdtGDuiX2YK5K2DVQw9tYNxNy4AdMMuRmK2fQDpgZ3xIj+DMYSEREREREREREREUn3PyALL3z4/Uh0ratmUXT2QPvX+6G9M7D3tx1pwcgTP+P7PwG3xwfhs14N9J6AhZ1Rpu4LGN7HTq+2uv0xbWJ/tK9pzM7ojOpdX0CXEsC5vaF68Ebs71aiFMpo43yK9ZKltLybmx41PL1uPtbfqI3hH/VHk9Iqkli4Brq+0Q1Nbu7D5hDV7S67bbN1t/tnqhTaj/TD6O7NUckIhpZ4BC/3qQ0kh+KgjCHZKPPkUHz7RltUdxU7iHYY9y3u6Cn988jivl2/egVJKI/W3mm9KF0qt8Vz7TK7luy3s8Frn8O3u7hfcvvCpdDixR5oIVb3hpk2zq17W7MrvvHtjxaVVeNKN8ALQzqhOuKxYbtNj0/EIKpGX0x49RFxD4vDRd2XY8t/xvbk4nju7ZHoWF0dRz7vb7yNl6uLdi9YjWOZDaV8cxt+WHQWbt2Haj1UXeS1CG6N+2N41+I4tjEQ5/Qi/dm9WhwdR47EC8a7Je5Rrc5D8UJjce4sPsMctTXyCmq98SmGiM/dRVy3OpS1wqK8hBvc5bqrm9U5DefQHL7vdkWD0vLeqV7ox9Tn2HVQ2rWLa6j06NvwfbE8kkJWYZVtd9/kBhg+Ke1ni1vtHujRUqxcBVp88DmGP+qhH6dCW7zcrbzY/hSOGjcwW27hUsDnGPV5BCr2740nbR+rxBgtmKktl05hz8Z5eOfFIZh+qTY+GvZMhj1ai3o8hLaPNkMlFEWNh1qJdblUg+vR9mjbSa4/JEcpTrN8DJ4bNB5fT5mED4a+hNaNm+KlWUeyDKJe2uCP6aiNN59I68V76cJp8Wd7PFAxAus+fwneNVuidv2WqNq0DYbM3W8a2thWBNYuWAe81Q8dy6oiIiIiIiIiIiIiIqJ/uXwQkHW2BJYsXJujtQycnDiJ06rH2rmDBxGH4uj45CPWwxg74racW1XOuXkWcXLn81cc6HV6Cnv/jAdatoGPHKbXrHRtNKkM7D2lB/7uqm3C3e6fLYkxiDoTiqNqqNaoq+lDK2Uql7dpRylU0nopOqZSnTooI3vafrcAe3M6N6cD7axewXoeTZQQ7VSrhly7t84u6Z/Tqt5oL+5L0sGTlkCooX27tjbnk/Oeiuepcht0bKCKDIVro30HcS03g7FTxsEykHToIIKSS6Fre9sDALXq1QYiT+H0TZlTz24Jb3RsZhpW22E5bWtztG+Zk/NZq9WhrWn4Yd25w/JzLIUeHdLPSFr90UdQC/HYvNc2IlscZUqoVY0zqlWTwdniqFbRup1lysooajySE/R85lbg05d6oodcHm+K8h5N0ajfYlx66ROs/qSjaKWN74dowUxtadoVnV/7EoGl+mFm4Eq81zSrPqQR+HttKzxgRG1vxSD6UjVUtAp2lseT703GzOU7cGTbSqz6aSV2Bu/AT29Vw5bP+uDTTTfUdnacW45Pxm5HxaGjMLCxKpNS5B+nMOeNl7C83DtYeXw3Th3fgo1vNUbgmJcw5KcIbbN0wrdjRQDQu3Uz9o4lIiIiIiIiIiIiIlLyQUDWHme4adGsK7imBZiA69dlQK4UKtkGRzMRdy4Qi74cgd593kCfYZPhtyAAB+NExc04qzko7YvB9UiR/LkAvV94Hd2tlolYJOriEuO1LXPSNrO73T9Lt6/g4MbpGDVQtP0/I/DOV/OxaIc+vG1snH4Nuapuf3w7ui2qnQ/E+LfeQO93xf0KvoikzHp/SnnQzry9t7K3p0gir6QbLjdd8NZ4nkq4wUUvsFKpiuxNHI/rVzIOYF+PviL+jMGiEeZnUV96fxMq6uIRq32BQZ2rcnmUkdlsy3lb01939rnY+amkf47ifms9em1UqAI5sG7c1ctZvtcuxe0HjI1ezI6phSbt2qGjXJ5/BzMX/4Sdhw8g+Jt+qGcv6v/WTJzSApo7sOrdaqLgIbzr+wl61cksZHkDYXLo4YBdOCg+hejTchhisWzahVBcQthesX4yLdBaqkE39HrU9AWFIjJI+wneq3gLc9f+IfawI+4Ipn84Biuqv4oF77W3E0C9jBoDf8L8oa3wQMmSKFWyGh4e+BUmvQRsmbNOtCO9S/v/QCDao2VDhmOJiIiIiIiIiIiIiAy5E5BVRzl23jSHpdntZAcCoPY457iFUVvHo/+IBdju8gg+lfN+Lvwes79/W81HmQ1NHsenHwyyu/h2Tt9TMd9JDMUPb32IMUsuosFro7U5VJdMk3OJ5m3byzTrj2/nzcDsMT3Q3vUsln35CfpOXI+ojIKy96mducI5O8E8+5IS9eCmixwmOlOl0HGI/efx0w/6ofU9GCbW8bbeI8lJ+s8XFxe7AeTc1wy9h76DodryKnp1eAj1ymYSgHQthVJaQLM82r7+AQZW3I//m7kZMsScsdMInDIJX3/9A9ZVDME6uS6XmSsQaOS3Z9KdWipaB/XlNL5HI+yMCBCBFR/2waeH2mPmjA/wsE0guWLVWuLPCmhaTwaQzUrCq0Uj4PBlRKcbC/kGDv61HWjcLK1HLxERERERERERERER5VJAtlwN1JaxmfCL9ocCvvA3DoqkQVVH5+w8hWNyhxIPoHY5vaRMGTkQaAyiovV85o5hvf9ZJDV5AZPefQFNjHk/s8UDlWqK5JIzKnk/ghZ2liZV9d522WtbetndX87P6ai43euw+nJxPPfR53jt0dr6HKr3ipzjs0lXDJ/4Paa97IGkg6uwaLf9HqB51c67/WwylXgSx06I9ME6Wg/NzKnnSfamtROUjrpwVvxZCpVsRmE2q1RZvj8xSCre3O7z2MJbzZGbxbmydvdtzW2VPOTJxOd4Vc9buXxRvPFim4r3sEE5VbYjho56CJcWjITf9sxmd30IA39aiVXjegHtPsRMuS6W+W+1AwZM1dZXDUyb89W+GCTITrS1ytsM5X0FgROHYMjyavjoh+/Rq7oqNqteG90Qgd1hsle2oyIQtlckDaulGzqciIiIiIiIiIiIiOjfLHcCsvBC+07FgRO/YfVB26Fl47F33Q5EoTxaN7EfkLUdyjYu5DesigTc2jWH0T+yepMmcBPH2rzlL8hRh9PEIyoy/TmT5VDHtkO23o7BdTUEshW7wT8PeLcpD0TuwOqQzIfLzV7b0svu/mXKySDjRURYdUiOx+k/gmHbZ04f6rcUKqnAtiEuOut2ZSmjoKk4p/V1OKN6y+aQfe6ibtrvF5hX7bzbz8YiOX0f76itm7BdpE1aNbeZL9Ye9TzdDMT63TbnjfsLqzeI+1L9EfjYC44ZGnqjvTOwfd26jHsaa9LO9cMmO73Wzftm9uzfTVtzWaWHmqO6+Mw2/BaY7nM0fr50bZV1WDw/eKD3h/jI+xamfzXP7rC/ZpcuiDe6VjUYHU6jb1xB24pWE+PiVvA6bLE3JvHhzVgsHlCvhxpZ9pe9WPd80x89vgcGLpiJ97wz6Nnr8RieeQZYt/w3/K2KdKcQuOEI0KEWatjueusyIg+L1NReIiIiIiIiIiIiIiLKtYAs0KDLU2jgHI/1X36CiWsCcez8FZw+vAmLJn6CL7bFo0ynF9CxqtrYyj58MXo61h88i7ibYp8/Z+PjyfsQV645Rvf2UtsIdZ/Df5sBcdtE/bxAnL4cg7jz+7D6m08wfottkK88Kslg0bZ1WHbiijhuDM4dXIaJb32H1XZ62DVo7AUXXMSyX/7SAoZRkVe0IVCrd30bQxrEY/NkeU37cE7UaW0MFsf6Zn1ab+Bstc2ObO5fqYkX5OWtn/EdNp8R16e2HXVAzm5prUy58vq1LQ3U23/5FLYv+AT9Zx676+Fd7d+3i+IZeAv9Ry/Adtm25GQkXT6G1fO24bRzbXRtab8XY561824/G8OZ9Rg1brF+TTfP4uCayRi14CJcGvTA8HYyQJ41/XkCtk/9BFO2ndLv2ZlAzBw3G5tvFkfX13pon2uGXB/Bfz9ojjIn1mPYGHV/5b06fwybF0zEDwfTeh9X79QPXcsBx+ZNTHt21T3tM2mbZc7bzJ/9u2hrbqv6Aj59tYY2p/M7Mzbpn6O8nnnj9Z8vnfuhi92fL/lQ0Ycw7P1+qBj8LSYsPqUK7Yu6eArdqqe9M5fO7ULFkubn7Qo2L/kYL3XsiU9/2oWwSzcQc+MKwgK+xUt9v8Ue71cxqX8jta0MxvZB50mnUK9/X3Rzi9DnpTUtoReNXrvl0evtd/BwwOf475jlCNWOG4Etk97H/wXUxkfv9cYDakuLa5ch+057ud2bgaOJiIiIiIiIiIiIiAqKXAvIokJXTPp2EJ6rEY+gRQsw6t0P8c64ZVh2KB61er2N6a9m0Iuw8iMY8ng8Vn85Hn0Gin2++wsRNdriU9+haGK1Qym0f2s0hviUQsTGBXhn2Aj0eXc2Nhd6Ct980dUmEFkDz73fA00Kn8Wijz8Uxx2Bd78LRaXXP8eknumDZy7eL+DVJs64vmk2BoltB721GMGJoqKwB7p+IM7ZEgheNB3DRJ3Wxq+34XrZ8nCx9DTMTtvsyXj/T/vb6fVXtRuG9/KAy9VQTBklru/d6Vjv+hxmf/YCGlh3noNLy0H4tHMpxP2xQG//sMlYFt0Kk77vDx+1TU7Zv28eeGxIf3Rx3qW3rd8b6C3O+cPRUnjhk7fRvrTa2UbetfNuPxulZVe8VvOYfk0Dx2PMomNw8emBSR90RSVHh1c2PU/bZ0zU79moBdgc1wBDJn6BIY2zHlrbrclQfDu6LWpdCoSf1hZ5PZMxc39xVHIzDQft6oUhk+V1O6c9u8MmYsofQMenvSw9xx159nPa1txWqfNITHrVCy5By/TPUVyP35ZkeL86Wvx8kYHlgqNo+zfw+TPAlkkzsM5e71YlMToClUqWVLkriDoN1K9i/lJDeXSbHIidYxshdOIAtG7aErXrt0HrfvNw9tF3sHGhaX7Yi5swbZIeAA5b8Dl69B6QbvHbZRpCoPF/8dOvH6DGn5/jce24T+Kl1S54/acF9nvWXrui9aZ9oAL7xxIRERERERERERERmTmlCmo99yTGIE6LDTnDuXhxuNgNWF3E+o8/wcwTzeG7bCia3I5HXLzYqVBxuLllEewxju9aCpluejtZHFMOueoMtxJZz7uaFBeD5Dti6+Kl0rfZaF+m1yQ42raM2OwftfETDJp3EV3HzMGQJvomFsmiTYliY2dxz1xz6Z7lQIb3zWifg/dfk4ftzNmx92HmC9Oxvm4PzJ7QFZWyc88zYxwnw+fd5ryq1My471m2xYHPIdNnP8u23mOm9zrTd/Ff5xZibqgeroVLolTW42g77NaNG5BxeteSJZHBIMdERERERJSB2LgEuLsVUzkiIiIiIvo3yr0esmYy4FVCLtkIlhQuru/jSMDHOH5WmxaWASi9HY5wcdOPa7fNRvuyuiZH25aR7OwvA3FyW0cCg3fbrkxkeN+M9jkajJXysJ25cuzs3PPMGMe5i8YY9z3LtjjwOWT67OdCW3OV6b12+OfLv0JRlCpZUl9yMRgrFVXHZTCWiIiIiIiIiIiIiCj78qaHrENsesiqUrKWaQ9Zugey7qmaJ6I3YczgZTjW+W0sf9U0lzLdFw+3fgrh4XJAXsqJKd9ORJ8Xe6gcEREREdG/C3vIEhERERFR3vSQJaKcObEAgwaPQP+3luEgiqNLGwZjiYiIiIiIiIiIiIiICrL72EM2GVGH9+FcYnnU9q6NMqqUrCVFhuLg+XiUrf0IapVWhXQPxeB08DFcc62BJo094KJK84r8vLcH7cJpPID2bR5Hgwr5ZJhgIiIiIiIiyhH2kCUiIiIiovsYkCUiIiIiIiIi+mdjQJaIiIiIiDhkMRERERERERERERERERFRHmFAloiIiIiIiIiIiIiIiIgojzAgS0RERERERERERERERESURxiQJSIiIiIiIiIiIiIiIiLKIwzIEhERERERERERERERERHlEQZkiYiIiIiIiIiIiIiIiIjyCAOyRERERERERERERERERER5hAFZIiIiIiIiIiIiIiIiIqI8woAsEREREREREREREREREVEecUoV1DoREREREREREeWi2LgEuLsVUzkiIiIgPiERiYlJSE5Jwe3bd1Qp0b9T4cKF4FykCFxdXVC8mKsqvXt8z8hRefUM2mJAloiIiIiIiIgojzAgS0REBhkguhkbr37xXxRFXZxRqJATnJyc1BZE/y4yPHXnTipuJSUjMfGWFjwt4V78roJifM8oO/LiGcwIA7JERERERERERHmEAVkiIpJibsQiKTkFJUu4aQEiujcuRF5BlcrlVY7yOxkUu3EzDi7ORVCqpLsqdRzfs4IlP76fd/sMZoZzyBIRERERERERERER5REZJJJDppYvW4pBIqJMyPdDvifyfZHvTXbwPaPccDfPYFYYkCUiIiIiIiIiIiIiygNy+FTZY69M6RIcMpXIAfI9ke+LfG/k++MIvmeUm3LyDDqCAVkiIiIiIiIiIiIiojwg57KUw6cySETkOPm+yPdGvj+O4HtGuS27z6AjGJAlIiIiIiIiIiIiIsplsmeVc5EiHD6VKAfkeyPfn6x6KPI9o7zi6DPoKAZkiYiIiIiIiIiIiIhyWWJiElxdi6pcPhNzAntDQhF1S+UdcSsCR7K7j0lyQiyS1TqRI+T7I9+jzOSv9ywa4SF7EB6jshm5k4iEHL5HZC0xIgQBeyNhFTKNzb1hhh15Bh3FgCwRERERERERERERUS5LTknJRq89PZCz93AEElSJlQQZDBX1f0ergrt0NggLFwXgQFaBI7OYg1iV3X0M59fg/8b4YcyKE6ogv0lE9JkQBGwLQMiZzIM5idHRSExRGRuJmR0jMRIhoi7gUAaf4ZWj+r4RuRdMKujk+yPfo8xk7z0zS0TUMfFOhZzADVVy98IRsGgDAs6qrF2J2Dv/S3wwZiYCb6oiyrHoQF88MSlA/ARVTs5F1xLF0HrKUVVwdxx5Bh3FgCwRERERERERERERUS67ffsOChVydE5LPZCz8Iel+O28KjK5secX/E/Wbw9XJQVM+bpoWr08WjT2UAX5R+Ixf4zs4IkyHYdhwsQJ6OdTDLVemIaQWLWBJIOpq+ZiZN9G8CxTBn57VbkhOgTTXqiFYqZjeHT3sz7GlQD4dngCT3ScjAA7MdeQef3whKj3DcyloPs/gHx/5HuUmey9Zya3QrBqtnin/Fci4G9Vdk+4onqDaqhWry7quakiXEHgzC8xdccVlc89R1Z8iTErQlXuX6Bac3R5dSD6tfVUBXfHkWfQUQzIEhERERERERERERHlASen7ASK3FGtaiIOhNgGXSOxK+gKKlV0V/kCqGhDPPfOMDzfIP9dQ+LFi3AdFIDrJ3Zi66atOHJ0K/qeeBMDZ4eoLYTEcOw7GQ2PZh3QXBWZhcweiQ0+K6yOMfDcSAybZ9tLry/6dpyLgCDbiGwQNnztiZ7PqyxpHH1/svee6ZIPHMGRqg+jm1cignbnTm9KR1VqPRCjBnVAJUuELgUJ0YmIScidnphmyXGJuBGX+8fNt1ybYdgPczDsIVdVcHdy8mxlpPBYQa0TEREREREREVEuSkpOgUuOhtEjIqKC7mZsPEq4F1e5rEQiZFMoijesj8hD11CnfX2UUTU4H4BFf5ZBnRoXEOFUH52bmnuZpuBq6K9Yv2YTVgcdw7U7JVGlShkUtY0hXAvFpg3rsGJTCC4kFUN15wsIOJiIem1aoballx5w41wgNq76FWt2HMGFRBdUr14h7VhxJxD45zVUtdnH4k40wgI3YPXaDdhyIBJxLmVQo5I7CmuV4Qj034izpb3wQCmRvRmCdSu2YVdoKA6Yl5vuaFpdXXlKJA5sFde1NgB7T0cCHrVRpXj2+pg58hm4erZGB68KsIRvXD1R7MI4TIjsjg8710URraw6mj/aGq0fLYMz4+YCr49Fu2ra1hqPR/ujn4+H1TE8Cwfi/W0e+O/zXtDC0DdCseybULR8uQk+OVAaH3b01I8tJG6biX7x9fBi0iacazgSL3rZC1yHY8NXK3GlcXOUOLkScyf74ctVuxFbvBGae1pvnxgRhGULZmKmnz8CImNRobYXPEy3IXytH1ZeF/u5h2PllHGYFuCK5u094Z4SjaO/LcbC2dPhJ49dyBON6paxtBPRQZg7JRRlHq2LW9vm4ouvpmPlX5dRxqs5qovjRx/S2zVr8zmkVG+ChuUte2qfZ4Bo07QpflgTHAtUr4W6ZbMOmmX1GWbvPTMkYveGjbhc/xm8XC0K6/+IRu0OjVFO1UoRO/3xx43qqFcsHAErVmL1gVTUa1IV8kzae7J+C9Zs2INj0al4oJYo1x5N+R4fBx56DF6F92DtsnXau3S5cCXUrmK8C2L/w2uwdG88POt6oKicmzl0P/bvv4Com9dwMfwwDpxL0evkxo68BzfDEbR5I9Zv2ITAY1fgXE1uc0MbBj3kQDgiomNwOSJMvGPRKOf1AEqq9y/KeB810TiyYSX+ShLXXFH/XLR2nnRBU49b2LthKZZuikS5pnVRTn6s2jnXYvmGXThy/gbcq3uiXDan8nX4sxP3IGjpAsyc8SX8t19Bikc9NFRtjD20DH7HGmGk8Z5p78kPOFGptXi+tALr5332l/DzW4Pdsa5o5CWeeQd+pOTsGUsvez+9iIiIiIiIiIiIiIgob9RriIeSQrErTOWFiJATiPdqiLrpfpsfiwML/TBuYSgiyjZEh/rA4VULMebbDYgyj7AZuQGTJq7EbyeByhWLIeH4JozzTz/0cdTm7zDm+52IKN8IHVqUx40/l2HCohD7c9qmk4gjP83E1C2XUa5FO70tKxZg+TGjZ140woJPICyj0XjjLuOAqI9MKKbnE0Iwd/xMLNyXiHrtW6Je0XP4+ctp2BSpV+etEOxcC3Rp1jAtwJoD0bHXAdf0R/Do2AUDv1qJAMu9SMTOzXPR9ZkOyHxA50iEjJoG38FPoPWoAFys0BCt3Y9iQodm6Lck7fMM/7EXPB/3xc7ERujyage4bh6B5l5jrIZJjtw/EhtCNmBCz15YcdkTpauVQenEIExo2BC9fjyK0j590a9hJOZ2qYVe80zPSmw4NozaAP+JT6DDjKMo41kZiZtfR+tn/LByiUjf2qC1q/QxX/R6XJzDMgJvJFa+Jtq5KhGtXxmGLvLYPUZi5T35PO24FYIDx1zRuF5lODf0hGfCCQSb3jnp6skTOBC2E3P9ViIorgRKlnVFSVEetXUaxn0bgMNxFdCifXXxoIv3a0UokvXdNJE7ZmLc1N246lIC5e5cRID/XCwMTfsAEi6EY2/oRf3dSrqM00fPIcrei+bIexC5CZN8F2L54QRUbt4SjQuFY8n3y3Ak5ToijobjnL15ahMuau+b9fuYiIhQcc0XbNoZdhSbvp+L1WecUa5sCRSXQVf5M2X8Qqw/Xxqt2jdC9ZshmPrVQhxw7IdF9sSK57JTM/ScHYIybQeiS/UQTMv02ZHvyUiEmEZ/ls/7tP8biCfajkTAZQ80fNgVR//vCTR7zR/3dBD4VCIiIiIiIiIiyhM3Y+PVGhER/ducv3hZrTliX+qc98amzjmYmnp8mW/qqJ/EiuZ06qpxvqn+R1NT9y8Ymzp8wT5VnpqatHdO6vD3JqeuOqMKpPidqTNGjk0du/a0KhD7+4r9/NanRt5WRUJ80P/Evt+m/halCiJ+SR1r91ji3MdVPmp9qq95Hyuq/WnNS001nc98fendTN0zz9fUxoTUPXNFm2ftTDX/LXp69eTU4VO2psaovCMc/wwSUi/u2Zq63n9y6sDHPVM7vLte3Dl7dqb6Aqm+QSqboX2pkx9CapcfTEc5tzi1J3qmLj53PXX9G0gduPK6Xp6wNXUEBqauuHwxdfHzSO3pf1EvT0c/d8/pR0Rr05ye1SUVlT9O3WoU3ryeej1ZrUs316cOE/sNW6POJ+wcj1TAR1yH+Uipqdcvp20jHZneIRUPTRZXo2jXUDm17yxTG45OTe0gju8zfmeqZe/LK1IHirIRm9RWxrWH69nsyOozzN57posJnJo6fNwv6jO+nvrHlLGpo5Yd0XIG7X177wvxzN5UJYL2noxN/XLTOVUgJacmWe63/pyPmrsz9Yrl+ZfvsDjW4rSHP3LTt6nDvxDPu8ob+/luMn/2jrwH9t/vpGSjQRdTf/tC1Jt+bmi0d9n2fdS3NbdBa2e669XPOXa1+Q25mbpzVvp7mJWsP7uE1K2jK6eilW/qTtPHIG65xUX/nql4frFovSH9O6o9789PTT1iPsaJOaldxLP8cYD1O2BPTp4xe9hDloiIiIiIiIiIiIgon6jX2gvFQ4/iiOzl+nco9sILrRrodWkSsXdfBODZDB0eUEVSMR+0a1EEV/eF6j2/5P7XgKYdu5jmqxSbuameqEr43qO4WrEhfKyO5Yla5VNw7pypq1mGSqNcWeDAtjUIi1G9Yh2MPiTsXoqFh93Rra9q460Q7D0s2tzKB+ZWetaqIK4nEuKq80A09vlPgN/suVh/1BPNHvZMGzI6B8Jnj8FIV1/49vFUJWal0eH5j7F+bYA4q/gkAzfA7/2+6FJer81Kc5ueu56P90SHyLkIOqQK3EujtDFScGw0IsUNK90RuBhrM2/t+74Y0cq6B2/p8qXVWiKio8PFn6L9+xNFatYaXTub2lCzIZqJpGtHH3FlSnkPuSfCr6gumOUro2HllZg6awMibZpx70XjwP4rKNawrtZG+Xk0bVIeCQdCYdNJFmjQDv8xDR+tvSfFGqLbE6bxqlEEzqaRmaV6D/ugnOX594RnTZHExVr1os2SI++B9n4XgU8X6/fbuYhNg+5GqWZ4vqPperVzloaPj/nZdketmqWRcO4crqqSXJG4ExsmRmLgqGHwMY/KnZPL82qOhuZj1OmAnh0jMXfXvZs/2MEfiURERERERERERERElOeqeqFpsaMIOgyE7z8K5+ZeKnBkFo2b10RSsow2jKpZubLuQEw0bsjMDZmWRvVKWlWGbsQkApf2YMKIcXjLsszEuktA8h1j2OHMeOK5t3qiQ5GjmDp+AkZ8tRABJzMan9gkIQgLfo5AtadfRKfKqizmuhbUOTDf3BaxzA8HRFuyFdRyWGV0+XortgYcwcVQX3j82AhdPg+yCUQ6JnHXBPQbfB2+34xAswzGPHb16YCBGxdjQ4QcrngxPu7cOufDI7sWE59wpJxOWIlGyLyR6OrlgVodB8LXfyfCL6sqsxLF0p0z8cwG+L3WGrU8mqPXe9MQEHpR1WRCnD/L4LVrB/gGrUfXk2/Co1gtdB0qjn2/hiu+uQ97xaPkfDEEC/39tWX18RQ42xm2GEVd4axWJe09KeFuCrZmw7XrkK+swxx5D7T3W7RHzZWaJ4oW0ebNtdDOGY11X1q3a8Kv4n1PTkl7DHPDlUjtiyWeHpZQfy4qhmLisJEp9+4bAgzIEhERERERERERERHlG57waVkaB0LWYO+BImjaLH041sJesPS2bVkKksxzymbEsy18/T7D9zbLxx2NSGkWSnjhubc+gN+nfdG7xnWsn/EdvtmRWe/aKwicuwlHPHzQ/wnbcxSBz5D0bfne7z9oqrb4f/buAzCKYv8D+De9F0JIoQgB6USalKAIovAEREXhqWDBhwKi+CgKqKBUFZSiqICav4CAKL3zABFEAekQpAQhSAIkkED6pd9/ZncvuVzuLhdIICTfT1h2Z3a2z24u+WVmy4x/GEa99z72frDE6D2vtsk4HY6Bvb9EyNIleN+k9Wkhrl3Qc+gerJRB2R8GokvYTYdjTWRgx+jG6LE6GON+vYLze1fiy0lvomd9bbY1f4fjmZApiOq1BCevnMQv//cZRr3UQZtZCur0wPs/n4cuegmedl2F/sEdMOOoNu82Sj52ClFuvqhp3CLZowoCPXJw9EiElmGFLfdSqbHlPrDx/i5V/ug7wcx+jemBYv7246boSjXKe+cwIEtEREREREREREREVI4Etg1FzWNHsNu7JbrU0DILCUKduo7A31Fq18b54vHX6VQgpKbaqraOHKfiZKT1bodD6voD/0ThL52WcQucfOoj7Nn/4vlQ2cL3uNpS14zk33/C8n/80Xdgt8JBnIAQ1HXLQeQppdPlMpdh2pWvkKG7iVZzF5Zi4MPjgEk7EG62q+LCwnq9jahBr2LHyGfQ5RbisYkHdmAV3kBL2a217OL1U9nF6yiE2dgFskHUr0uxqfebGNU75OZb69rAtWYYBs78DjN678WSX49oubeL2l0xGjyEIf364aX84SX0a+sJnaGrcAuU+yRe3CdJWkZZsuU+sPH+tkleCpIytWlrlG2K58wp8ZwpazUbo0MLYNPeMqgn8XuwYznwRovGWkbZY0CWiIiIiIiIiIiIiKg88WmFjk1d0aTtfUW6JDZo0C0MIZmnsHDBbiTIFmR5iYhcuwRrol0R1q2LupxXW+X9szHb12Kv9vLO7NjdmLe8cJDHu0MXhLnF4Me56xCZomXmiPVFnEXhGK2F1nhXt+LL+ZuMlo1CbBzgFhhsfv9F+Xlr4xH4cDc0t09Ecoo2pMl9bIyej/kj4befMW9fbH4XxdmxR3CytLu5Td2EcfW74M0fjyBRa4WXEbMJUz6YgaDXe6CDoafU1EQkJsrhhnI+dDe0tCEmdWEp+of1x5HnwzGlbzAylLLqkGGpdV+LHnij79MY2FW+gdV24d98hb0x6rVMPBGON4aGI+yjgegi99W1CqoEAUcitPdi5sRix8cDMWq5mrTGzVcsuPcwTmmtghNPLMWbI8apiVuUsW8GXv10B2IN5yIxCidFFexwb/GB61KldVfcvGXRc14ztD68dWdxrMiLZAt4t3kI93vEY014wbuS5f3049qIW+xKOxi1AoC4C2eRLO+vHLluG+4Drw74V2tXxKwX931kolomMwZ7f1qFk0pwNQjiFgSioxAlVynWq5RRgr1A5KG9SJb5KaewVdy/Bw3XxxqvLujZ3hUnl4djTX635DlIjjyCqFL4g47CWqL/e/1wZfQbGLc5Vu1CXDyXjnw/A6uMXyYt9rvYTS8Kx1fiPCrrSDyF8JFvILz9FHH/lUV3yOYxIEtEREREREREREREVK74Iuw/YzCkg5Vmjj5d8Obwjqh1cQcmjpmIt975HF/uATr+ZzCeb6CVgSfCXngaHT1i8OOn05R3PY6adxJ1e4QWbpVq3xjPvyPK5UbgywnaeyHHfI5F+6LVYK/kH4K6HqnY+ukiHDQNyrrVQgP7U5ifv+wi/IpQvPy4+dZnJ7fvRYxYR9wvSzFuwucFw5c7ECfmez84GKOf9EfM6vkYpb2jctQXv+FYQgn7EC6OZw9M+fVNuP7wDKo42cHOzk4cykDsDVuCHdN7iKug2jurCqpUkUNPTBXpqT209Ky9IhWLpaP7Y2kscGpWT9RVyhUMMw4qqzCjMQb+vBJvtNCSNuohTumX3UOUfa0SOhWJQ3/Bpndbaq1aW6LfN6OQMamJMt+uVn9sqvMZwicpM60K6v42vuy4Cj2rqOeh1aQr6D9nCZ7W5t8K1zot0fjIm2ipnWO7Kv2x9+GNGNXr9gXDpOQjpxBlXxPN8+8PI7VDcb9PDo4es9JtsUsoXhreA2HZR5R3JSv1csYeJLi7ypjgLQhCxx4hcDu9A+PeEfV9wirIuHDx94Ermjw3EC/dD+ye/7la5r1wbEx0hZt2jzbv1gY1EyMwSz4jxszHPuWPJhqjS48gIGIrxsn8SesQ3bo/+t6rLFKsBs8MxpD26jaV+33UVExcdhhR12/tLJgT1DccO5Z2wN7/BMNN1h2nKnhmMxCsNeMOatwBYav7o+4H8l60oru4cb7oghCl/jXB1Pg38cv69y2+57ks2OkFbZqIiIiIiIiIiEpRapoOnh5uWoqIiCqTy7HxCA6sqgSgylp2WiJ0eY5w8/KEk5ZnKlsnyuRYL6PITEVyVg6c3Hzh5qjlGeSIeTpYXocyPwdw9IR3kYVvRg50KanItneFt0fJIyfyGlQPsrHvXtkKVsaTXH3hexuDNLbbi6l2HcRIj/fbQ2mFm2FpX3MykJiaIQ7Ft8TdDyvrdRTr9dQySlOGOMeyiaKN51iGr67EJVi9hrfzPjOWfz95iHuhtJo+Wrz3bLgPtHvPyVks66LlGViap2xP3M83ewx5GdClZSD7Ju/3Et2fEHVaVh5zdVPeu7BcZ/dOtkMH7IF+fJh2n7vC18ab3JY6aCu2kCUiIiIiIiIiIiIiKmUODvbIy7s97aGcPHzhXUygVQZ5iiujcPEU5cwEYyUZeLG2DmW+2E6pBGMlGUAW67uJYGyJefrC19e2QGF5IIOtFvfVUQacSh6MlZT1lkUwVpKB2BKcY3n/yPvImtt5nxnLv59KM8pm8d6z4T7Q7r0iwVjJ0jxle7dwDPau6n6V2v1ujVqnzdZNee/aWmeV+9z2O8OWOmgrBmSJiIiIiIiIiIiIiEqZk6MjMrNu7c2SRJWZvH/kfWQN7zMqS7bUQVsxIEtEREREREREREREVMpcXZ2RkZGppYhuVRBaTv8MLW+959S7hrx/5H1kDe8zKk5Qi8/wWYsgLVUyttRBW/EdskREREREREREZYTvkCUiqtzirl2Hr48XXJyL7SiYykDJ3lFJ5YlsmZiYlILAan5ajmW8z+5O5f3+LEkdtAVbyBIRERERERERERERlQEvT3ckp6SB7aKIbCfvF3nfyPvHFrzPqLSVtA7aggFZIiIiIiIiIiIiIqIy4O7mCmcnR9xITGGwiMgG8j6R94u8b+T9YwveZ1SabqYO2oJdFhMRERERERERlRF2WUxERFJSciqysnPg7eXBblWJLJBdxMpWiTIQ5uPtqeXajvcZ3apbrYPWMCBLRERERERERFRGGJAlIiKDdF0GUlLT4eToCFdXFyVgZG9vBzs7O60EUeUiw1N5eXolCJaRkYnsnByli9hbaZXI+4xKoizqoCUMyBIRERERERERlREGZImIyJQMGGVkZCm/+M/NzdNyiSonBwd7LXjqXKpBMN5nZKuyqoOmGJAlIiIiIiIiIiojDMgSEREREZG9NiYiIiIiIiIiIiIiIiIiolLGgCwRERERERERERERERERURlhQJaIiIiIiIiIiIiIiIiIqIwwIEtEREREREREREREREREVEbs9II2TURERCYWnNNh4vE0XEjN1XKKV8fTAR/e54EB9dy0HCIiIiKqrFLTdPD04OdCIiIiIqLKjAFZIiIiCyYcS1WCsTfD1cEOun4BWoqIiIiIKisGZImIiIiIiAFZIiIiI7Il7M64LPzvchaWXcjQcktuSAN3zG3npaWIiIiIqLJiQJao9KTrMqDTZSI7Jwd5eeXvV5r29nZwcnSEm5sL3N1ctVzbldfjq6jHZcDjs648Hx+vnXW8dncOj8+68np8t3pcxWFAloiIKqWSdEX8WHUXrO7so7R6JSIiIiIqifIQkM3NzcXu3bu1lG3c3d3Rtm1bLUV0Z2Xn5CIpKQV29nbKL0idnRzh4OAA+WtNOzu7cjOW91pWdo7yi2Z9nh4+Pl5wcnTQjsIy4+Nzc3WBq4uzsj5r27qdYzlkZGZBl5F508dV0a8b6+WdGVfkY5NjOdzqvVeRrx2fK3duXFHvPTnczD1nKwZkiYio0ilJV8QMxhIRERHRrSgPAdmUlBR4e3trKds0aNAAZ86c0VI2ij+FvRGncPLgDVS5vwkah4ahsb82z4zE03tx+NRJHEmsgpaNG6PV/Y3h66jNVGQgMVH2WuMKX9+irRQyEhNFCTHX11eUUBnyzHL1hZnVFHH12nVEnvsHCdcTkZScCh9vT1T180XDe+ugmn8VrRTdLvKXt/JaeHl6wMO99FurlJW09AykpKYpdcfaL3PvtuOrqMdlwONT3Y3Hx2un4rUrf3h8qrvt+Gw9rpJgQJaIiCqV4oKxMvDaOdAZnQKdlHH7ak7aHCIiIiKikrvTAdlly5bh+eefV6Y7duwIe3t7ZVpKTU3FoUOHtJR558+fR0hIiJayICcKq0a/ijdm7UCslqUKwdNfrET4sJbw1XIUF1bh7f+8gRm/Fi6Ne5/Glz+G4437tdIxS/FMrf5YhSnYo38fYWquZi+m2nXAODyNJdEr0a+mcZ55Ty+9gpXPB2mporKys/HngQjEXLmKJg3rIiiwKvx8fXD9RhKuxMXj5JnzuKdGENrdHwonp0KRYypD8QmJcHV1MfrlrfxjWeNfZ5bftPxlbkZGJvyrFroDCil8fKW3bVXZpEt2XPL5V/r7UKD002npOh7fXVgvpYp6zxmkpWeK48vgtasU3w+k0tu+quzSlfn7XUkwIEtERBVORq4e++Kzse9aNo7dyFGmzXVNzNav5cdlXR7mn9UhWlynezwdMLSBGwJcC35ZaKsTiblYeE6HhMw8NPJxxLN1XFHbo+TrMThyPQfrojMQo9OLj2J6PBzkjCdquijvF94fn4NgNzsMEvta3c0BF9Ny8eOFTJxOyhH7bofn67ihma8DHO1Zv4iIiCqz8hSQTU9Px+nTp5GUlITg4GAl3apVK2WeJcUHZKOw9KUO6P9DLBDUBQPfewP9mvkiI/YIVn37GTbWnIE9/9cPIYb45YWl6B/WH0tl8YcHYtywfmjsm4HYg6sQPnMjgqbvwZIXte3ddEC2Jfq92x+tTBqz+nYciIHtLf9Cbcdv++Hs5IT2be6Do9YS4vKVq6geHKBMZ2eLny0OHkdebh46PXi/kkdlS3aFKLsNlIFxO/GxWv4W0zA2/O7UNL+8zb+emKR0yyi7njSVf3xVfAqty3Td5TEt/1Ch2OMyc90srbO8zbfpulX047sL66VM38yxmY5N112e5ifYcu9V5Gsn7jvT5U3H5XU+j+/urJvWvt+VFAOyRERULq2JzsSIgyk2vePVmAyuyoBscRiMLV+OJ+bgmV1J+Ds5B/W9HLDhkSpoIMYltexCJkaKenNFl4uwak6Yeb8X2vuXvJWz/Hi0PyFHaVH9+7VspGXL90kAnQKd8W2YN17+PRl747Pg7WSPzY/4Ktv442q2qLOpOJCQhVoe9pjR2ksJ3rqwjhEREVVq5Skgm5aWhq5du2LPnj0YOHAgXn/9ddx/v/XA4t9//4169eppqaJif3wGwf1WAS1GYeO2z9DDuIvinEQkZvjC11NLIxZL/x2M/suBlu9sxI7pPQq3nI1PRIZ/QffDNx+QNc6zzfkLMYg4eRa9uneGvfzgJ8Rdu46N//sNPf/1EAKr+Sl5eeJz4vrNu9AitCFq1wpW8qjsJFxPgpubi9KiRl4Vo9+V3jVj2bJGp8tEVT8fkSrMcHzyF722rKs8jeUv1os7rop+3Vgvy+e4Ih+bHNty71Xka8fnSvkdV9R7z9o9V1I332SEiIiojMTq8vD87qQSB2MlW4Kxz9VxZTC2nMnLA3Ly1GuXI0byF103I1usI1dbVlaFm11Puqh6O+Oy8Wd8DlKz9ajmao82VZ1Q28MBjnZ2yFM+lokPUkZVSNbWHL04ECFPb6dsX/nkRkRERFSO2GnBxsOHD+Obb75R0vKP0YyHXbt2KWUkQ3nzorDx+1XK1MAPxhUOxkqOxsFY4e+NCF8uJwZi3GiTYKxkHIy9zU5FRqFd69D8YKwkg7BP9uicH4yV5Py2rZri5OlzWg6VpeycHLg4O+V/rL4bx3L/5XGYYzg+yZZ1laexLcdl67rK45jHd3fWSzmuyMcmVfZrZ8t6yuuYx1fxvt+VFAOyRER0Rxy9nqO0JgxZHQ+7H+IKDcErrtkUWLVGvvt1SAN3zG3nhb2P+UH/YmD+8GNHBmPJuqSsPETcyEF6jhpglS1d57T1wphmHgh0tcOg+m4Y09QD74t0Hc/SebE/ERERUVkzBFffeustzJw5U2kda8h79dVX0blzZ3z55ZeFgrBWA7KxR7Bjm5x4A08/XPy7tWKP7MAOOfH60+hiGry9w5KSUuBftXAfxxEn/0b0pTgtVaCavx8SRXkqe3l5etjZ20P+naX8CbHQ2DCY5pez+XL/5XGYoxyfnXZ8chB5ZseGoRzNl/tt03GJtNmxYSin83l8d2e9lOOKes8ZxpX62hm+HxgGkW92bBjK2fxKf3x3ad20ds+VFAOyRER0W31yIk0JwrbcmIDZp9KKbQW7urNvoWCqrYMMwspgrAzKyuAsUUlki89ZydmyHaz6C8h7vRzQwNsRDb0dlGB+/xA3fNjcE282ckfgTbzrloiIiOhOkK1fpbNnzyI5ORmtW7fOzzt48KDSMlZ2UWzIk4yni8jJQIYyEYwq+fHYROz9fgZmfFowhO9LVGeJ8orgKgWtYxP3Ityo7IxPw7FXK37zVqF/LTvIYHL+MHmvNq+ovDy1/xPDe2ONHf8rUpsqIMspy1g7N1RqlE/k4r8iYzlhlE4/txEz3xmKfz/7Gp56cSiGzdmI86kF8/PLRe/G8jmTMfj9T/D9ztNK7zjG8/PHciI/HY/ts9/GJzvjjeanI+KHDzB2WQTS8ssZjeWEIW2NVi6/rGEB43ReEs5v+QLDXhXH9txr+Per72LmloJ9Nwx21/5Uj+2/kzFzzZ9INJ0vRup/6jg/LYfrYtkv1POy5FB80fnGaeOxBabXp8hYToihyHX7Qrtu2nw5Qry2b8MnY9bq3YhON5lvbiwnzF03aNftJwvXzTBWJiyzafviukVtFtftNXFs4vj+/dq7mLX5NNLytPlK+WzEHV6OWZPexuDJX2D5HxfV/cqfb2EsJ84sFdd6KU4b58duxOR3vsD2uGw1bcg3HSsTVsj52qAUNZQ3Tovr8v3k/6rX7rmheGXSIhyKzy6YL4fU09i+6BOMHP4BJi/aiIjrRstrQ35aGxvSp38S50RcJ+P5cds+wbCvtiJONlaTeWIwnp+ftkaWkYUMZc2NxZB2fiNmvS3qprjnnnpBfaZEyb/F0eYXKp97Bft++g5r/0pS06bzTcfXf8Unw2dge4JRfvphLHhvMpacTC92eavkfG0oVN44nRePQz9Mxisva8+UwZPx/eGC+0QZUiOwdsF3+GahGLTxt79dLJgvBjlS/1PH+WlZN4cvxRlDWorbiClvF9TNQuW1sWHSEkP5Ys9vMXVTLh+9WxyP4biU8RpEWLq+hcbiufK5heeK4fuBnKHkmxlbkV9OThjKm47lc0V+PzD3XDGUkxOiXMwfyzFz8tsYOf07bD+fVHi+HBvSxmNRN6fJuml0r9qlHcb370/G0r/kw1f8kzPk2DDfeGyNLKANSlnDAsZpW54r8hz8+h0mv284NnHPGM8XQ35aG+enxffu8zu/w5T33sb4b7fivOGa5883SRuPSwF/g0hERLfF6aQchG25jnePpNrcFfFj1V3wVC0XLUW3Ii1Hj2/O6vDItht4UFyHP65l4/tzGeizKwkdRPpRkf/BsVScSMxBQmYeZokfAJ76NVGZ99gviZgp0ld0ho56VbKL4ShxLWefSsezvyXiAVG2/ebryjZe/zMFa6MzkCwjm0bkfvx4IRMv/5Gs7EfnrWrZU8k5yFUboxYhdgd7xP6OFXXnX9tvKNvoKJZ9ZW8yNsVkQperL7Rft0qelxd/T8bvV7OVLpClryN1yjkKE9tWtv+/6+gkhpf+SMK5lOK7LckU+7hXHMM7h1PRbXuish557C+J87BeHENiVukeAxEREZEl//nPf9C2bVstVdiTTz4JX19ffP/991rOzchA1Oa38fbogmFTlBaINSc1CpuMyr49epP4jKnNu2lBaPxwF3TpajT4Wu4M2d7eHk6ODsjKytZyVKFN7oW9XdFfnWVlZ8NJdiuo/EaSypoMfBc3pB7/Gm98+Cuce4/B9z98hZ/mjMST9lsxcszXOJ5qUm7cNqSG9sWY1x5GlUNL8VNkVqF1mR+ykBWfhBsZBWVjN8/A5HPtMKJPM7gXKlt0sEaZb1q+UDoNEd9/gLEbHdF3wmz8tOQrzH//YWD9DLzx/WGkGsrf+BWT3l6DGw+8hJmTX0LrS0sxYlEEMg3zjYYiaV0Evhm/FOfq98XEoQ8j7ecPMGbr5YL5RmWN09YYl7c02HLdMi/+jBEf7obzA89j4vvPI/TSCgz78GdcNFmX+aFsr5v1IQ3HxXUbI65bH3HdfhbXbZ64bnpx3d7Urpvcv4urJ2Psr3o89OIYTHyxEaKXiPS6f0zWZWHISkRcbCKyDOnUw5g/aSsCXxqIRwMdi5Y3GaxR5puWN05f2YixIxbifIvXMWfBV1i9YAxG1v8H00Z8go1XtPKpuzFTlqn1FIZPHoinnA5j8n8/x16dmfWZSWenJiEuNTs/nSbqy9g13hj0clcEOFpf3hrjZSwNsm6+Keqmk6ib/yfq5s+ibj4h6uYIk2eKYYjdMhczN/yJvRfTiswzO+Sm40ZsErLk7zNkOucyNk7/Dqc7DkS/Jm5Fy5sM1ijzTcsbp8W2Nk16F9MuNsSYT2dj9ZLZmPFGXZye9S7GbFbve6X8xX1Y8vsVpX7JtJInvwzTRkORtEndhKib34i6GSDq5iOibhYpbzxthfEyFgdRN8cUUzf1+ms4/sufOB5XsG05NkxbH8r7c6Wg3MiN6Qh9bgjefMQbB8PX4JT83VOh9ZkZtLopf4+lpG9n3bTluSKG0z9+gEmHgtF3+DiMecob2ybNwMarZtZnJh23dQbGbtGj+9Ax6F/rOCaP+RbHtWeSufKGdGlhQJaIiMqUoWvilhuvY9+1gl9wBLnZK61Xf+1WxWwLVzlsfqT4bs/INjJoefxGNvbFZyvBzYnHUjH5eCo2XMpU8nbGZeHL0+kYdzQNr+5NwfSTadgk5skg4i+xWZh5Kl0J6MZnqh9C5HteD4hr+96RVHx8Ig1rY7KUsn/KdYnyP5zXYeyRNHz/tw4p2WqkNSVbj+/EOsYfTcXPF3TKfuy+qpb9UOzPVRl5NSE/AC4XZUcfSsH8yHTsUN7rmq0ElH+KysDwgymYG6lDkvhQWVqupOfiRGI2bmQVBKAvpuXiYIK6bePhd3HeZDC1OOtiMpWA8rfyGGLVc777arY4tgwMOyCPIV05t6V3FERERERF7d69G3Xr1lW6Jvb29sahQ4cKBRUbNWqEF154QQnaGlgNOnr6IliZOIyoC8qEEISnv7mBGzdu4OQ3T2t5KldPtTSORCFKnQJqPo1wUfbGjZP4rreWV4ROG5vjCldHbTJfB4xb9At+2Wo0DGupzTPPz88XCTeStJR18fGJ8Bfl6Xax0xqnWBqfx9p5R1Bz4Hi82eEeeDg5w8W3Hh4dMhav+B3BNzui1XK5Z7B83hmEjRqPVzo3RN067fDUqIl4pZGzyfosjeWU+n96xFyMXe+P8e/0QKBDccup/1tS3LJ259Zg5jZ/DJr8Oh6q4QEXBydUqdMNI8eLbW9bjl8uqeWyzx7HoVY9MKCVOAdetdHppadQd8vvUNt4W1m/+P/GvjXY1LAPRj7WCEE12mLQgPaI+XkbTpuUKzq2prhlbbtuzrX+jVlfjMKTre5FUDUxXxxX6+gTiLhW3PoNYzml/l+a183acsr43FrMUq7bUHSq4Q5nB2f41ekqrltP5bptvyTLOaFWr0n4flRftK5TDUFi/uDn6iF6/wnEma6vuHFuLDZ/+h3O9xqLQaHuBflWxtZYXzYZu5esQXTX1zG5V0MEuop7yPUehD43CmMeiMeClfuh/PbHoyNGzvsIgzo3wj1ecn5fdHc9geNnLa3XdGwg0rGbMHlGAvqOfx2hHsUtV3hpU8Uta4dzWKPUzXGibtaGp5MTnH3vRdchY5S6+e2Oi4XLx67BrI33YEAv2Re/ufWZG8sp9X+ldeWCaVhR61WMf6y6Ub61sWXFLZ/+51IsuNQRk8b2RaNqHrBzcEet0P74YFRLRC9ZgT+Vv6ES5XOzkRXUCn0HvCqeCa+JQYw71i6yPktjlVzPFWxS6uYYUTfF9gz5FsbWWV5OHdtYN5Ej9gsI7a4dl3J8TyHUq7j1G8ZySv2//D1XhLMrMWtfQ4wf/zK61q+Huq3+jbFTX0Ijp2LWnz+WU5IOJ0TdXC7q5gePyc9wxS9vjfVlbb120Thz1Ak9/t1T1F8fBNb/N17pGo/fDsVaWK/ROPcENv2chL5vvIrWNaqh0WOvon/1/Vh7QH7+s7KcMi4dDMgSEVGZmBeZXqhrYsM7YWV3rx+39MSVPtWULoU7Bzor+VS25B9z5ertlLG8ErL1p6O9HV6s64quwS5wFtM3svTYcikTmy5loIr4kPZiPTe1u2exwOX0XJGfpbR0luIz8rDgXAa2XM7CVTFdw80eA+q5YmQTd3QIcBLbAiKTc5SWpYev5yhp2fr2538ylFa1MvQq1/1afTe09XcS689Tgq+mjohl54l1HBRjUXXQs4Yz3g/1xLN1XFHVxR5RabI1bxr2J4gfFErpfQ6dAp3wekMPNPB2ENtUP3Z1re6MsU3d8eF9Hsog/6BAyhMfy4rb6qnkXOUY9ser57yHOIZ3xLqereMCP1d7Jdi7OCpDCfAaWuQSERERlYXHHnsMDz/8cP4waNCg/L/6l+Np06Zhzpw5hVoCyK55LfJtjJbd5cQqLNmWH2KFq6+v0tK2iqeWofFt3BI95MTqJdjxt5IluCplfX2rwM00sFozBK2Uib04mV9eExOFw3Ic1AQhQUrOLWncIARHj5/OP/aYy3HYtO13ZOfkKGOZluT8oxGn0bRRPSVNZU/+2aK8LBbH0YfwW0Iz9GjvXTjfIQiPdK2H6D8OIVamz/+J7Vmt8FCobDloVM7msRjkOHYjJs1IQJ/xQ9DM3Vy5omNrilv24tEjuNGhMzr6mMwPfBjdW8Rj59ErStpJ3Ece5y8iRvzIpszXpSO1VlX4FLN+vT4bp49fRMP69eBkyK/fEGEp53DumnG5omNrTMsWGdt63eSX+PErf/7Vy4hxqooqXlrakG9xLAY5Lu3rZlTO3PjiscPqdfM1mR/UWb1ux2RLRJF2KDw/7ko8nIP84WsoX8xYmdKn4/iCT5SgybjHgqyWNx5bY3XZjOM4eMAHTz7czGS+G1o90gpOuw/huKEeGl+7tGuIS/FHgJ+hfHFjbV/SDuObyVtRd9RIdA+0Vr5gbE1xy+qjD6t1s51P4Xz7YDzSTdTN3w8j1pCfexlrvtyJukOeR82U+MLlrY4Ng2xdOROTo7vh45dbwj1/vvWxNdaXz8Lxg2dQpXsHNDS+NuLLvXkXPOoagYOn1HRmajZQJxgBVtdneazsC9JE3VQDeuP+FVxovrXlLDFXvtDY5rqZhtSUYNQIMlne5rEY5LicPldO7z+ErM5d0MzVpJzNYzGI/2K3zMDki6JuDhB102y5omNrrC5r87Xzhm/VJJy7kJhfLisjGwFVq5osZ2Z8+RT2pdRFw5qGfB80a+mPQ5HntbTl5UtLpQ/IJpw8jENHY2Bj75nA9Sgc2iuWEcOF61peabuZbSTF4NDqpfhmzrdiWIr1++PE49XC8d2OYyCiSm3CsVSlG1rTrollAO5ITz+Mbeah5dCdco+HPT4IdcfUFp6Y08YTzXwdleBjZp4eNd3t8XErL3zS0gujm3qghkjLzx7RaTlKYFY6m5KLX69kIikrDx6Odpgqyn4ilpnY3BPz2nkrQVa5vnOiDmyMycS1jDwcT8xRgrR54pNMIx9HZRm5/a9F+V41neEuI64mdsVl4ZhYTn5g6V3LVdnG+Pvc8VlrLwy81xXy9a2XdHnYEZuFVJPukW9WWDVn/KeeK+p7OcLeTl1nl0BnvCPq7fuh6lCS98auvpiptBSXsdZX7nXD5228MaG5lzgGb/S5xwXO4rAvivN0SAkqawsRERER3WbHjh2DDDZ+/vnnWo4tQtB/xCjIeOimQf0x9ffCL3/VqX/LV+De/hj1jlIar7441eRdsTrZYMVES4S9K8vvQPiPe7X31UoZ2Pv9l1glpoJeCUNjNfOW1AgOgKeHO/YeOK58Xq1axQct72uExx59QBnLtAxO79l/DN7enggMqKotSWVN+SnB8KOCGBdJJ8YjLigYNWSv1CbzPap4Axeu4KpIZyUkIq2GP3B0KaaMewdDhk/BV3svFipvunyRdMoRfDt5Dc5kpCNNNtUxnW8pbY1RWXPjxMQkBNYMVn5uUOSPfVClGhAVG6um6/fB5IfOY+yIaVh6+AjWfv0r6r3UE7UsrLdgHI/r14B6YhtqWgwOPvDwuoJLctXFLW+NKKMUM1omP61dt5radVNo842vmzLLLhtxJ3/Hph+m4a1Pz+Ch919FezPX22La6Lqla9dNYZhvKV0c0/JG6cQb6nVTXsJUaL523a6Ik2son3kFEXs2YcGn72DysZaYNKAtlD9dN8xX/lPHpmnp/P9mYso2USfT0orMt5q2xmiZIuOUZMShFmqJ4ygy39cfNRGLuBtaWuTfuLAf29d+gbGj1gJvDMOTNdR8RXHj7H+w6dO52JSQjtQ0kbZ1OWuMyiqTpmnDM8Wt6HxPX1E3/xF1U0tf/d88rA15Gf2UVslFy1tNC4mH5uLdhReRJa5dlun84tKWGJUvOlbv94bV7zEz3xsB4ltudNwVJXkjKQHY/R2GvPUOXnhxEF6YuDT/HauK4sbC+S0FdbMky1miFDEqXyRtUjcLzRd1s1Z+3UxGYuwVLB0vvhe8/gZ6D3gHs3bd+e8HZssbpZO050rR54PxcyUbN8T9UlN8TDn88zSMHCGOcdJc/HbZ6D2s2thaOvGwqJsLRN1MF3VTZpjMt5i2xqhskbHNzxUfPPTaS3Be9h5GfrtNPDvn4qvonujXysn8eo3H8t6uXxsBRvmeXj7K9xvlz+4sLWcYl4JSC8hmJaUhtcigNiIur1J3TMczb07BsJFvYeSKGC23GFHbMex9sYwY1hf88WfpKuk2Yjdj1LNvYdicFViwerMYVmDGnqvIsnR8t+MYiKhSkkGnV/YkY+Jx+SlZZdw18d7H/JRAHN15MmDaJdgFAa72aODtiKa+DnBxUOc9FOiCdmJ+NVc7/Ku6ixKglWQrZxmwlWT3vde19562ruqI9qK8XJeno51YlyM6VHOCm1hfrih/IikXsbo8nErMgRbPRTOxvSY+Dkor10beDhjUwAN+LoU/4cgWrzFigbRssV2xbdlCt99viXhwyw08tTMRC8/p1PfHip2QrXvNNLC9KfZiNxzFIRv3zieDy45icBIz5VCSDksixeehdLFzOWJHl/+TgX//lqS8f/bJX29gVXQmZI/OsgtoGVAupUMgIiIiyhcQEIAHH3xQSxUlg7CyC2Pj4b///S/c3NzQqVMnuLurv2S2xLXrFKyaFCam9mJcxyqoG/YM3vxgHN78dwc88pIMmYoy+T8CuKLLB6swpb2Y3DcOHarURYd/v4lxH7yJZ8IeQf/VaplC5QfNQL8gsfYPOqBJ2Kt4+9O38WpYE3T4YK/4YaMfZgzqIkqVjnZtQpGamo51m3YiOSVNCboGB/or46TkVKzbvBNp6Tq0ax2qLUG3g/y8r7Rc1sbm0mpBc/O1WWLixo0E4NqvWHOuNYZ+OBVfjOmMrCVTMHO/+o5Ka+s3pM+sWoO9rV7HjJedsHT+JsSZzLe0vDXGZc2OlUJGaeOxQkvnxONUZDo69miJrLXfYem1INSQLbbMLVfs2BtV/LRVWytnjVZGKW60jHFaKWaULphvmGdIp+Hq36cRkyESuemIjrqCtELl5X+W08bXbYl23ayVN6StMlO+UFoWUaa1tDbWJrX5WjorHucjL0O+Pjsr+QrOxaYVLq8tVDQt13IEC5bo8fLUV/FIxAosOW57fbbGeBlzY7VQ0XxlrMwrSKdePI7z8g9wxLWLi7qIG7KVm7nlTMfSzk1YqH8KM8a0xKHwhcq7HotdTvyzxrisMlkknV9QSxeer84T/66swcyNQRj+bAt4qEXMlreUBq5g+YIzaP/eGLzmsg1fKe9ttly+UNoK4/LmxobB8nx1HPDgQMz8eDbmfjEdi7//FMNr7ceUr3biuoXliqxHqZsQdXMgHlXqZpbZckWXs0wpYlTeXFotaGG+Mk8mWuKZT8dgzpefYu7cL7F6ygOIC5+J78+alNfG5tJl8/2gaPlCaa2M2fnKGmT6Gq5fBa5u3IBzLQfi48+mYuIj2Vgwdi726ozKmy5vnNbqZlh+3bxSeL5peaO0NcZlzY3VQkXzlbEyT02nXjyNqFoPoEfQKXz7zRG416kKZ0M5q2N1/cqEktbDw9O7UNriuJSUUkA2AvN7v4huRYZn0aHLs+g1cAp+3Kt27VKeZKbeUKP7wvXEguDB3SUbh75fgL3Kgfii84tDMWd0Hwzr3KiCHB8R3Q2MuydecK7g/U6PVXdBVG9/dk1cDnk42cPJKKbo6mCfH2KUQVWRVLg7QAlASvLjh14rdT41N7+L4cY+TnA3ibNXcbZXuueVZGBVBhzlK2INn2G8nBwKfQiRXSQbyhtcTMvDBTHIRWTD0cu6XBwRP7nJYLAc5DxDELY0PxyVtktad8wylv2POG+G/ZdDTJrafbPcf/lFREREVNq6dOmCTZs2aSnzdu3aVWg4evQoatWqhZ07dyI4WGs1Z5ErwsbvwZUdn6FfsyBE7VuFryZPxVfL90LXrB+mrDqJ8L6ylavGMwzv776CX6b3Q+OgKOxd/hWmTv4Kq/bp0Pj5KVh5KhxPGxVHnX4I/3UJRj0s1x2OGaNnIHxfFIIeHoUlv4ajXx2tXClwdnJCty5haHBvbew7eBwr1m7Dhi2/KeM/D0WgUf0QdHs4DE5O/CPT283SG92UsZsHPGKv4FJG0fnpiclAkD+qiHQV36qi/j2AAU83hJ+TM5yDHkS/Hv74LeJEkeUsjT06vIQZL7dE3a798OSNNVgq6q1U3HLWFLesi6s74i5dgda2yWh+Mm5cAwJ9fZR05E8zsa/dGLz5WDcMmPAV/u9Vd6yYMAe7E82vt2DsAU9P4Ko8V0pa5sfi6j/+CKhmbTl1bI3VZW28bpIdfBHa61UMem0svpjVF56rpuGbA/KMFF7O0rgsrptkbXlncd2uiusmfzdbeH4SEpXr5l2Q7xWKJ19+FW++8ynm/8cdSyeEY5+Z81J0LAWj74RR6FG3Lfq+GIzti9YgJre45dSxNVaXFcfmiWhEx5uZn5SAGFSFn1dBfq2O4tq9/BY+mTsOnSLD8eEm2RLRZDkLY9zbGZ+80wN1W/TDoHpH8N2m80p2sctZUdyydvl1s+j8NK1u+uIi1s3YhBj/bPy5IhzfLvwO604CMfuW47v1f0H+Jt7i+rUx4I6Hho3DoNB66PHyg7i6dAX2iQWLW65gefOsLyeunbgJXFEJAAD89klEQVTfz1w2dw1ScDVO1k3ZRFGkPe5BSJCTOt/BB/d3ewBVjp7Cpfzy1sdq3Rwp6mY79BF185dFaxGda8ty1lldvgR1069mPVRx0ObX6Imn2qTj9N9XCsoXMy6/z5Vq8AsAfB/rh773+sPFwRmBHfriyeonEHHW/HqLjtW6+Vp+3VyOP9NsWc46q8vaeu0Sd2L2d8544+1+eLTXW/jiO/FciQrHqJ/OFF3OdCzv7bh4JBrlx8leJmpWQ6CWNuSbG5eGUgrIWpONhKjDmPP+WxgwJyI/QFgeVO05BnNe7Y4Br47AF/0barl3m/OI2K+1RG77Ct575VG0FjfbMy2cKsjxEVF5lpilR++dSWa7J5bB2NWdfZR3xlLFI3vsNcRPb2TmKQFXYzJtiJE62dnllzUwbn1qiaw6hg8qsh49Vt0Zk1t44pOWRYfn67jB0zjCXI44iX2Xe+YsDuaZe1zM7r/sIvqpe1zhchs+mREREVHl4+Xlpf4BWAmGM2fOaEvbRgmQRlyBPuUGbtyQgw5XIpbg/d6Ni7ZgdQxCl3eW4OQVPXRKWTHoruDk0vfxdKOi7V1dG/XDZzuM1p2iVwPARcqG4X1l/1eiX00t6yY0aVgXT/Z4GP9+qhsef+whZSzTjRqEaCXodhJX1PpXSEs84nUCe4+mGeeKr0Ts3X0OHm1CUVOknGoGI+B6Mm7kFpSAvZMtW1C+pJr168JXvvPToQH6vNAM+/5vIY5nFJSx9GWNcTlzXw1at4LHgcM4lGacK74S/8T2o+5od19dkbqMc6fc0bqRd/589xZPok/tczgdbcix9OWNgFruopz6Llrl65pYH4IQIN9TaOXLGuNyZr9svG5FvjxaoF0LIC7hmnGuxS+p/F63ol/uoa3QOjsB18VzrvgvKQjN6ropKd8OfdAH2/DVtsvafOtf1hiXK/Ll1QLtQ5Pw2/5zxrnK1+m9h5HWIlR9d6Xpl0MQWrX1R/Q17V2rxX4JIY1Qx0NOe6Nj/67QL1+ETfLdxsV8WWNczuyXTXXTG6HPD8TwJ9qhZWioMjT0AzxqNELLen5wNFrK0pfserVh/apq6t5n8FqbE/jyp8PI1OZb+7LGuFzRL280a1cLceI6RRs9C5WvM6JuptRFq6aW9l6u24bzp3xJN1c3rTEuZ/brZuum8mXTFpQvqfw+VxxRo4YPriYUvs+cxLc747S1rztSN229dtGncCi0IRrIcy+/HGrhiWda4sapvxGnlbf4FVgLjVIuI9bo+Rp3+QoCqmnHauWrtJT+r/2emIg9O1apw7afsHXBOAy4V364yUbk6m+x/qJarFxw8EXrfq9hUL+OqO6p5d11spCSpE0G+aLQYVSI4yOi8mrftWylReya6II3ORl3T7z5EV8GYysw+V5ZQ8vZw9ezkSL73TXyV1IOdLlqXgMfB3g7io9zTgWBWdlSVLacNdgZJ76fmbwDtrqbA2p7OijLyDmNfRwxrJE73mladOgcJLtILp/1LcjVDs5i32Rr3rpejni9YdH9H97YHQ/4O8HZNHJNREREdLfx9IWvrxxs60jYVSkrBluKG9bN33FUKoVbqMj/DZ+ZtbRDKJ58sS72/d+X2HwpR5ufjZhNX+Lb083w5pON1NI1H8STgb9jwTbtnau5sdj3xxU8FKp2QW1x/flpqSDt0f5lDC3SYs+4vLnlLVHLqoNklG74BF5regJffbk5v+UjcqOxbvYKnOnQB33vlRnVUCU4Htt3RCot85TlYvfjt7+DUVNpcW60PkXhdMNOD6DKzl9xSGkBlY2onX8gpmtHtBI/y6gKly88bYlaxnD86tjofCjXrZ523QytXXPyr9sbynWzw9UtM/HVnnhtvvj/0ias2OeOhiHV1bSSb2b9WtrAMN9Tu27fKtetoLxhviEtp60rXL7I8g2fNLpu2vz86/aMuG4yHYvNn8/Db9eMjv9/27DPqx7q+hVenzouSMtpY0q+Qz30HWxoaVm4vDouSJsub566TEFZw7QvHvn3g0hbHo4FJ2XLanV+2tF5mL7JHf36PwwPmY4Ix/RVok4a6m3KAWz+XzxC69ZT0/nr0+YXSUtG6Zp98UavJCxc9kdBPS9U3jRtjVrO7PlxaGZUN9WXm9sVqpuy4ZMvQlq1w/1iaN2qrTJuKO61KrVC0bqJfMenlfUrCo9lS/X2L/ZDo50rsE5582Dh8kWXL45aXh2kgnSVjn3xhG4bpi/9q9C1+XbO76jSty8e8hLptANYMH8zolK0+bkJ+G31H0js2Bpqs6+C9alM0wZaWtTNPvl1U2aYljdNm1dw/GpZQ1ody/8L103D/HSTunl1yzx8ezihYP75FVi7xx9hofK5Illav5pWFaQNzxXD9wPbli+qYL6F5Qs9V7T5Rt8P/i2fK0LNjg+j5ra12ByrLS+/H/zTDPfVV9MW16+lVYa0O8Ly66ZhfuHy6rggbZ1aVh0kw7RtzxX4+aPmHzvxS4JheR0O7TkDZ/E9IUBJG9ZnmG+U9noAj3Q8j827tRekp/yOX3YG48mO8plkprzCePrWOUwQtOlbcBX7F+7ECTnZ8GEMbC8b+Ar2DnD2CUbrZnbYvS4CCRAnslZn/Kux/OScjctHjyEy6gpSXYNRVZzN1KjdWL94K37ffxVe99VHVRnH1SSc3I7Ny34R8w7j0Lkb8PKrhare2svuJF0cThyMRHTMFVzXeyPAx7RrzDSxvRPK9q5kuqG6n/ikfz0Kh45G4YpYJssjGL5uWlGD3ERc2LkBP2/4A4f2RyEroDZqucVoxwKEdnsW7Qz3qLHYM9i6brW4mGJf5XJVq6OW3J45N7sN6ZrY/+MR2L8jAhdk2rM6Wnhl4EqCPfyDPOFg6fiuHEb4tr+VSYvrT4rBoc0bsGH7PrFfZ3DZMQAhgWKdZkL4WZcisOnnddj1hzxe62WJqGL45EQaXtmbjHjZB61mQD03bHu0Cp6q5YI6nkbPZyoX0nP0+DUuG8du5CitV+/3d8LDgc7wcFQ/VGy8lIXjYp6Mq8r3y3YKKpi38FwGLqTlqq1Ua7igRRVHpXvhXVezcFWXh2Tx88nVjDzl48k/aXmYcyYd66MzkZytV94r+16oB+4Ty8SLMr+LHzRl4FW2qtWJH0qzxPYWn8/Ad3/rEKf8JaHa3XH/uq5KgP+STo89Yjvy/aqxYvmETD3cHe2RkKXHb1ezES72bfpf6co7a+X7aOUxbL2ShTRxkDXcHZRWtbU8Sl4fk8T25Dtrz6XkKl0Ndw12wf3ig4mLFvSdH6lT9sfLyR7Ph7gq25LHvuVypvK+XG+R301sWwaR5b7vi88R50mPGFHmilhOdgstz89ucQzfnM3EwvM6VBPnSga65ftqiYiIqOLIys6Bs7PRLziIyGYpqenwcHfNb5tiPJafmg1p13vaIcz7GBbOWoCF//sNm1euxsbYWhg6YRgeqGIo54l776uCM99+jTmbd2Ljii0433II3u1RA4Y71NL69UjF37/uxD/3dMYj9Ty1+S64p3YmNn++DVkPdkZDD8vLp6VnwMuz6PuY5fG5uxf8QtJ4GUlNu6J2+xbwPvYTPvl8LTb/vg0//vAb4ho+i49ffwi+shDsUbNJU+Rsn43pS3Zi6/Zt+GljNGq/9iZebiyjKyrz6xe8mqC12xaM/+hnbN/6P2y83gIfvP4vBIoTY7a8Jt3KcVm6boaxXJfrPW1NrtuqItfNs4oDTi76HJMWb8Ovv6zH4o2xCOn3Bl5pV8XsdTOM1X1NKXLdoF23LRaum2Esl7d23Yo/PrEdcd18zFy3j8R1qyI2oLfzhL/LKXw7ZR7+Txz/9nWrsC4qCC+9/RLC/JyKWb8Yxx3Ez78DnZ+5X+luU5nvVx+Bl37AVycC0K11DcjfkFta/pbqpV9zPNL4KlZ//i2+Wy/2ff0K/HzADt3ffRfPhqj77uThi+Sd32Dy3LXYvmsbFi87jKzOr2B0z7rIj/ULZtcvhrgjG7AT9+PZlkH586vW9cSlb1cios5DaBOk1gBzyxd3bMbLmBu7ibrZLr9u7i5UNzuIumluebm/J7xlXfMqdv126Wfxy+ZLqN29M+7VdlPvWgd1sQPTN6Ti4Ycawl2uROaro0Jja/desdfOzh8tOoYgcdM8fLpgE7bv2ITFq44BXd/ApGcaqveVUxX4xG/B9GlLsHrXTqxYtgmHq3TG1Ne6ForZmF2/nNDq5sOibqpBMiG/bgYqdVOuxtzyttx3xssVGYu6+ahWN7/V6uZPJnXTs0oeIv7vc3zy005s37QWP+xIQIuhb+PFxu7Fr9/M9wPDc8Xw/aCRheeKdGvHZ8NzRZSyc6+PVsEn8fX0BdiwU9x76y6h9dsj8UR19fitHp9WN+8RdbO+2E0lX9TNEFE3P92Qgs4PNYKnth3JdFzWzxX5/ap9cATmf7YAa3/ZiQ1rN2FHVhgmDrGlbjqI75U1ETXvM3wq1r92zQlUffW/4vukp4XyBSzdcyVlp5f90NyyCMzp8iF+lJOyhexw9S/L8uUexoyuU7BSTIYNm4sZveW3iDisf/N1fHxSzRuF2eg354zWpfGjmLNtKFrL35+mnsGP73yAOWe0bnnzOaHBYyMwY1R7VFV+zxqDlS++hRmXxGTbEdj6ScfCrUVjN2NUv2+xV0w+8+FPGNVJXJ1D36LDO5uV2c9/ugrDWiuTqku78fHIWVh/TUsrxDZb1xXLnUGkSBVZBmmInP8BBv0UVaRr5jpdR2POaMO+am5qGwUSVr+LXuKcFdHkNaz/sjuqWjo+a8ctXN42HW9/vE8N8hpxDu2HBVP7oE7+ic3GhZ8+wID5hutWwDmoPd77ZAS63WN0FxDRXe90Uo4SiJWtYw18ne2Vd8Q+V8e2v4CnO+NaRh4+OJaGhed00OXqMaShOybd56EEASXZ7fQP53VKIPNNMe+D5mKe1n/uw1tvKC1YfZ3tMLuNN16u64obWXrMOZ2O+ZHpuKzLU1qnGlrAysBjerYefmL5l0TZsaHqumT9+eBYKtZGZyE7Tw8vUd7TyV7ZpvyUI+OQydl5qO3hgE2P+KKRtyOiUnPx3pFUbIjJVPZbBol9RJ2Te5Yh0nJZ2fJ0X3c/Jej7w/kMvH0oRQkQy8DyrPs90aFayd9f/E9aLt7cn4L/Xc5UgtTTW3lhcAM3eGvdIrfccB1Hb2Qj2M0Bax/2QRvxqU8GiIcfSMaR6zlKgPaz1p7ofY+LEnQeJta1NjpTCUbL9+3K+0bGduUxpOZAnB87ZV+713BhK1kiIqIKJjVNB0+Pgl9AEZHtYq8mwK+Kt/g5w+iv/uXHZePfZhZKZ+PM4tF4N7Iz5n34JALk7+HMlM9KTUK2sw88LEUESjGdp8/D9RvJCAqoquUUkMdXxdcbDvba8Yll5W9q5SoUpum8E1jw3zk402MCPu4ebL68Lkn8POYEJ3d3OIufPayuzzSdk45UHeDppf3S2Ur5vDxxXImWj8tPHJe9PC5ZWCyTz2xaXLcfxHU7K67bBHHdjC53fvmMJKTJ4/IQx2VuvkEppUv1+HLEdRuuXbce4roVKZ+NrJR0ZNu7w8NTVMri1lcK6eKOryT18sauaXh9qQ/emTkErWUTNtPySr3KhrO7D5y1e9La+m41Xdw9l3/tJLmQWDZfkbSom4u0uimfKfIV4lbLi6GM03m5pXftcH0bpo7YBN8RU/FGC3Hfm87PyxafY9Jh5yTqpquom6bzSzld7LUr0fcD83WzUPlM8VzJ0p6XFr5flGa6VI8v1+i5Ir8fSKblxfVLS8suN8dXqs+VW6qb4pmbmo4sFx/IR67CSnlrz8uSuj0B2agVGDBwqRJgNBeQbRDaEFkRZ3DBzRcN/FyAe5/BjA8fRdXcGKx8fRRm/C1/8e+E1l0eRagPkHJyO1ZqAdo6vSdiwbBQ5a99LvzwOvp9HyemOmLGxhEIM/p5J3XbFHT7+LCYMppnKTCpi8A3Az7EAiVQ6oQGbTuhQw0nZF46jJX74/KDj6bBzAs/vCW2L/sUcEKzxwbglY6BSDm9CUt/OoxIcWOHDf8CM57QWg/f5DaMJWyZjlFLTuPypUSkygzT83cTAdmsXbPQbeJuZft1WvTBgL6N4BW7D0u/245D4gOZ8fnGxXUYNGCB0jK6zoMDMKx7TTgnncb6ZWux02cAls7sjurGAWgiuisdvZ6DheczlK6JTd8T276aE74P80YjH/mJlMoz+b7fj0+kYW5kuhIUHNHEHe8381BalUojD6Xgu7M6pSXtuPs8MLyxB3y14GOPHYn436VMpeysNp7oHyLfAQLEpOVidXQmlkZl4GxyjrIN2Wa6qoud0jL06Xtc8URNF4R42osPlGqXvTKIOetkOrZfycS1DD1cHe3Q1McBvWq64o9r2fg1NhN1PB2xrrMPGop1yNapEYk5WHkxQ2mxeiZJfODKUd+54Cv2p4abPR6t7oIxTd0R6GqP1aLcWwdScSk9Fw8GOGPG/Z5KsLSkYtLzMOJgCtaJeq8XH79mtPbEK/e6KS1bpbAt17E/Phv3eDhgZScftPJzUtJymT3iOEI8HcQyXugpjl/+skDeR+tiMsT+ZeJsSq5ynuWafLRj6FHDBYPquynLMR5LRERUsTAgS3TzEq4nwcXFWQzyM738oCx/EilmLLuBnT4Viy74o12HWvDMEuMXn0Co0iTP/HI3ds3Ee2u0roxNtX8Jc59tKiYsL29tnJmZLYYsVPXzEenC1ONzEoOLSNm4zrhNmPDuWpyv3QwP1XFHVtW2ePVx+bs6S8vF45cvpmNFlJg046Eh0/B8Q3PLWR9nZmYqx2b5uCr6dSvh8cVtNrlu7cR1a6p1bWtuub/w44hF+E1MFRWEPuNG4pGq5pazbVy69VKHiIUT8NEuIDSsIcSP4mjY9T/oWN3KcmeW4vV5R8W0GSE98NFbnVDF3HI2jEv9nsu9otXNqqJu3iPqphi/+JSom5aWK5t7zjAu/t4r2fHJrqXf/uwInEObIbSaE5zqd8XL4jgtLxch6uYPVurmCFE3zS1X/LjU77ubqJsV+7mSUEzdnC7qprnlbBtX1OeKtXuupMo+IJsbg/UjR+HjCBlArYlRC77AM/J+NgrISs6hMoD3RKEAXkELUCeEDftCC+RKaTg0fQiGbZEdjhut0yhAmN8KVpGGnWNfxHv7xWSX0dg5rr0aULQQmEzd8iG6TY9QpsMGi+0+W1OZllK3TUe3j/cp04WCmde3470+X2OnmAwbOhcz+hj21Wh9Pk9gweoBaGCcJ9i8DbOsnPuSBmRzz2BBn3fxTRJQ/bFxWDq6lXqepIgF6PPfdbiMVvho9Th0FnUvYZ24PrPl9WmPGetGIyy/5WwaslI94Mx3uhDdtawFYSXZde2H93lgbDP5J0p0N5DB0Jj0XFxKz0NOHpRufGt52EOLLyotUS+LeXniY0Fdb0cEuaotOKW/EnNwPUsPJ3ugnpej0prTQAYWo9NylWCs+Kf89Zir+F5exdlOaSXqbtiAEdll7yWxjOyyWG5DBnplV72X0vJwNUPtGrmpr1xW+6s5ISVHBoBl0DcP2Xl2kK1pZaDTU5SpLpaVrXfllq5n5uFsci4y8/RKK9S6Xg75QdSSkK1az4mNym6WpXpiPYFuBd0Jy66fZZfDcl8b+6jbkF0Tyy6OZXfHbo5AXU8HpZWwYesyEB6jy1O6a84R+2cn1qUegx2C5TGIE8xgLBERUcXDgCzRzUvXZSiDj7cN3e5q1HQ2bvxzBucT0kXaHTWbNEOA1qmTbcsXuNV0UnIK3N1clcGUueOzSW4Sos6cwfUMMe1aC6HKOytvL1uPq2TnKxuJ4rqdE9dNvrewlrhugWL1ti9feukyOT5x3S6I65ZgdN0MoQmDEq1PuNl0WdTLrLgziLiUpEz71W2LEF9l8rYrybHZfv7UZ0qUqJt6rW7KZ4rty6tKI51YFs+U7Cs4ExGtNvqq2hCta9964OlmlLRe2nr+DHVTpqsY1U1blze41XSZHJ/R9wM78VxpZvT9wKbl1UnFraYr6nPF2nGVVMFvOkvLtlkY8OLr+UOvnm9pwVigzhOvoZcSjDUVivc+LByMlQHbPb9o3fH6dMdgQ8tShQda931SCWzKrorX71LedA3c0wr/ClEn1x85rU5IuggcksFYOOGZzq2L+YCSiD2b1UApnDui3xMFgVLJ06+KNlVYwq5flGCs7G65X37gWOXZoj3C5ETSGVxQWsTe3DbK3NHfsECp2yF4ub9RMFYKbY1OykQEIrW/oPDyC9DKHMKK1WdQELNhMJbobiSDsCMOpiJkdTxabkzA7FNpZoOxslXskZ5+DMbeZWTgU3YFLN+1+lCgk9Jq1ThOKVtmPhDghI6BzkqLTUMwVmrq64iOYl57f6dCwVhJBlxlS9Z2Yr2yjFy37Cq4vrej2WCsFOxqr7yPVZaX+9PQWw1oNvRxULbfRixvHIyVvByhtLoNq+asbEMu206Uk4FbGfw1bEkGQOW+PCTWI7swlus9k5yrtF7904bhYIJ8x22eEiiV25P7I4fq7g75wVipuVi33Ic2VdVtSJ5Odmju56jsn2yVKwPNxmdAdtHcWByreg3EevOPwRF+YoMMxhIRERERFab88lMvf5GbKcZ68a9gsJ52RJV7mqJVyzZiaCp+jimufNmk1f3WjsMM4+MzXtZ4Heby9fbeqNO4DVrL42scBCdzZcQg/iuSZzyI/4rkGQ/ivyJ5criZ4xL/5U9bTjvCV7turbXrZr182aTL7Pi066Ycn8l1U+bfpvTNHJ/xIP4rkicHp4AG2rVrgzo+5svIQfxXJM94EP8VyTMexH9F8gyDrcemMzk28V8x6YK6KZ8pAUZ1U51/e9Jlde30jkFooF27Vvd4my8jBvFfkTzjQfxXJM94EP8VyTMMJTk2sUChZYtLO2t1Uw6ybprOvx3pMjs+8VwJ0Z4rhu8HhebfpnRJjs94WeN1mMu/08+V4o6rpEo/IKtLROSluPwhQfZ961YTzwybgQXDta5uTTVpj9Z+2nS+q7igtZ5F60aoY9r1bUhDGBp2Rv4To3XxWxNh3dTgZtaWfTihxRGyDu3Fejnh3B6dWxtazVoSjTNarBT3iu3a+EesV/7RgsfOezFnQEFAWhlGLsUhdS4ylX26uW2UtYSL57XzGIMfx5ocw4uz1HOIbO0YxKGG9cOoUHk+s7H3+3fRreeLGDVjM05YaNFPROWDDLIuOKfDK3uSleCr3Q9xymApCBvkZo8hDdzxa7cq0L8YiL2P+bGLYrqrTDyeir6/JaHvruKH53Yn4VRy0T9EICIiIiKiO8PHxws6nQ66zCz1Dx7ttD/ILOdjub9yv+X+W5N/fBni+MSykhwb1mVIm47v1Hy5nyU6rop+3Vgvy838jBIcW7oolyGOTa7LsM7yPpb7K/e7sl875dgq+n1X0Y/vLqmbtn6/K4nSD8i27oc5U8flDwsW/ICd677AqN4hxbRMtcLTw/qysTeQok1W79RdbY2a9RsOajHSyIP7lECjc6cwhJZ18DMrrVBAWhli0/LfCXt3yMYF02MwvKfWmEMges2cj28Gd0QzeV7Fse/d+C0G9XsWg+afucuOmaji++REmhKAlYMMxsqgrLkWsJJxEPZKn2qY284LnQNv+ilOdEdd0+Up3SpHpxc/yC6dsxiPJSIiIiIqN5wcHVDVzxdZmVlISklFRmYmcvPy1NYrYn55Gsv9kvsn91Pur9xvuf/WGI4vO0scX3IKMsU4Nzc3f52SufHtnC/3R+6X3D+5nyU5rop+3VgvC49v9/w87diSb+baaceWYXJs5Wks90vun9xPub+8dnyulJdxRX2uyP0p6fe7kij7d8haZPQO2SavYf2X3VFVnaGJwDePfYgFMqoXKuZ/bjJftw8zek7HSjldaJuJ2PrOfzDhENDglS+w4MU0LOgt34vqhGcmLcaoB41ayJp9l+oZrbyYvHcAVnzzBKrLbAML7189MedZDFqdDTh3xzdbXkMzNduCm9uGeaX3DtmCd8I2xISfPka3amq+TXKzcXn/cnwzZy22xsouqs2cbyK6I04n5eCVvcnYd03tPt4SGYR9qpYrnq3jwuArVSjyHbjy3bPiY4+aYYW9nR5NfRzhLfssJiIiIioFfIcsUemR75+TXY1m5+QgL68UfqVZyuzt7eDk6Ag3N5eb6t6wvB5fRT0uAx6fdeX5+HjtrOO1u3N4fNaV1+O71eMqTjkOyGZj75RnMWqHnA7FhBUT0c2oW+Os32eh2we7lVaY3d79ARO6FrzLMHXLh+g2PUJd76g0jBq4FJHOHTFn9Qi0Nv4ZyGxgMg07x76I95R3zhbdrqVgZtauWeg8cbeY8hD5/yfyrQUib24b5pVeQBZRKzBAnisxGTZsLmaYvAvXJrlnsKCPGmx27j0RO4fZUheI6FYlZumV7oYXns+w2OrVwNXBTgm4dgp0UsbynbBERERERFQ2GJAlIiIiIqJy3PzDCWFPP4E6ynQEPpq4DpcNMYbY3ZgzRw3Gwqc7+jxYEIyVPNt2RGc5cfIQ1m89pAQYnR97tHAw1iIP3N/ZEEQ0s90Z27VEYc5tH8UApUVpGn6cPgtbLyrZKtl6dO9hXMiPkdzcNspCVqpRi7mQjuinvBMW2Dt/OhYcTVOmDVJPHkbkdS0hRa3AsHeWFn5nrO4GEnTqZB3fKuoEEd0UGWSdcCy10HteLQ1VfrqKiceLvv/VmAzEftzSE7p+Adj8iC/GNvNgMJaIiIiIiIiIiIiIqIyV7/74mvTHhBfVd89mRSxAn65Po0MXMfSbhZXXZAFfPD+un/r+UmN+YejWVk4cxjc/yS54nfBMR9tbanp2HYp3tcCk6XZ/vA7z77N1C8WA0d3RQM68tg8TBjyNbn1ex4AXX0e/J55Fn/enYM66OLWscFPbKC33NkI3bXLlxGcxYZsh8BqIbqMHoLM8n1lR+Gbki+jcWz2GAb2fRbc3p+C9RRFqIDzrDBa8vxSHDq1Q3hnbq592rM9Ox0pZwLkh+nWtKUsS0U2YfSpdCcQWF2S1lQy8HunppwRhiYiIiIiIiIiIiIjo9innL0hzQoNXZmDl1CeKtG71vKcj3p07B8NamwsueOD+R1pp04Lzo3i4hTZtC4dA9Jr6CUa19SgUGPVs+ATm/PAJhtXQMkw4t34NCxaMw6CGaqA19XocIi/F4YLOCc3C+qBfW6N+iW9yG6XCpz369AnM3+6J8zHalFCjOz5aOgPvdlLnZyWpxxCZBFQNfRSDutVSl3NuiAFzRbkuNeGJbCTEGo5VzApqj3c/H4duQbIgEZWEbBXbe2cSRhxM0d55abs6ng74voM39C8GFhn2PuaHRj6OWkkiIiIiIiIiIiIiIrpdSukdsrdHVlKa2jrTwRmenrepm01dGlLlRku6TcNygrOnB5wd1GmzbnYbtygrVZxP2fDOzQOexlFhgyyxX1r3wxbLSLnZSDUc7G0+BqKKZN+1bDz/e1KhFrEyyPrhfR4YUI/vnCIiIiIiuhvxHbJERERERHRXBWSJiO52sgXs7FNpWHg+o9iuiGUQdm47L+Xdr0REREREdHdiQJaIiIiIqOTSdRnQ6TKRnZODvLyyD2Xa29vBydERbm4ucHdz1XJLDwOyRES3gSEQ+/lpXbFdEcsArAzEslUsEREREdHdjwFZIiIiIiLbZefkIikpBXb2dnBzdYGrizPs7OyUQYY0y2osh4zMLOgyMqHP08PHxwtOjta6vy0ZBmSJiG7R0es5SovXNdHFt3otjnzP6+pOPnzfKxERERFRBcGALBERERGRbWQwNuF6Irw8PeDhXvqtVG2Vlp6BlNQ0VPXzLbWgLAOyREQl8MmJNMw/q7ulwCvfC0tEREREVHkwIEtEREREZJv4hES4urpowVj5Kj/jEObtTaelZyIjIwP+VX21nFvDgCwRkQ1OJ+Xglb3J2HctW8spOQZiiYiIiIgqHwZkiYiIiIiKp7wzNiMTflV8lLionZ0YyQimFie9E+mEG0lKt8ml8U5ZBmSJqFyQLU53xmVhV1y2Mr7Vrn9vpyA3ezxVyxXP1nFB50BnLZeIiIiIiAgMyBIRERER2SDhehLc3FyUAKhRXPSOjmWAWKfLRFU/H5G6NQzIElGZSczSY/apNOX9qndTgNUaVwc7pZXr2GYeWg4REREREZFlDMgSERERERUv9moCqlX1hb29vZZz5+Xl5eFaQiKCAqpqOTePAVkiKnWGQOznp3ViOk/Lvfu1r+aE78O80cjHUcshIiIiIiKyjgFZIiIiIqLiXY6NLxz4tNR01eA2zZeB4upB/mreLWBAlohuWUauHvvis5X3qx67kYMtl7NKHIiVLU9ld7+dAp2UsQx+EhERERER3e0YkCUiIiIiKp4SkA0sCMiajY+eXorBcw+rGUYeev0zvNBILZ8V+yfWbrmCRs88hVAvdb6kLH/tMDZt3orth7JRq3M39HuiHQIdjOarkwpDOjaOAVkiusPmRaYrrWBPJ+VoOUXV8XRQuvgdUI+/gCAiIiIiosqHAVkiIiIiouLJgGxggF9+INTsOGIuek/NxohvX8b9RvmO7j5wcYjHxgnv4dvTIgPBGDRnIrpXM1o+dhPGjP0VVZ7pi3+H+uD8zqXYe88wjO/ib3l7Yoi7er1UArLlpyNmIrqrTDiWitf/TLEYjJWB2O87eCOqtz+DsUREREREREREREREZJUMgsr/rY+d4eflAw8vX3hqYxellWs19JzwDdbMeQqNlHLGyyXhtwVrYPfcSIzt1Q516zTEowMmKcFYy9sxjEsHA7JEZNGWy5lovC4Bdj/EFRkmHk/TSqlkF8NDGrhjbjsv7H3Mj4FYIiIiIiIiIiIiIiKymezTVy+/rIyVKavlDINRfvIR7DpaD907BBfOt2FcWhiQJSKzjl7PQe+dSVa7I5Yeq+4CXb8AJQgrg7EyKMv3vxIRERERERERERERUYkYmqRaHSfj9JH9OHRYDHJ8IaloOQNDOukaYpyqwvnaNnw16R0MGfEhpqw5gbQ8bb7p8pbWdwsYkCWiIjJy9Xhlb7Iytua5Oq5Y3dkHrg6l+FQiIiIiIiIiIiIiIqJKR682TbUylqWScOb4cRwWwyE5vphUpJzCKK2/EY841xP4eZsrnnjnI8z98Hk0PPIFxm68WLicuXEpYUCWiIqQ3REfvZ6tTMtg66knqkL/YmCR4ceODMYSEREREREREREREdGtK+5trur/tfDky6/iNTEMkuOO9xQpZ5CfX8UfgSkN0f/Vjqjl6gQ730bo+1RLxOw/gTjjchbGpYEBWSJSrInORMjqeOX9sJ+cKHg/7If3eaCRj6OWIiIiIiIiIiIiIiIiKn3Ke1utftlWrkgp/yA0RDxupBjlOahliltbaWFAlogQq8vD87uTcCE1V8tRyffDjm3moaWIiIiIiIiIiIiIiIjKkmyVahgk07Rkbb6ZsWt7PNI1AUtXHUGakq/DoT1nULNtKAKUtGGQTNOlgwFZokouMUuPEQdTirwv1vB+WCIiIiIiIiIiIiIiorKmvLpV/Ke+w1WOi6bVcmbmH5+Lp58fjKffWoMzuIJv3xok0vNwXJnviNB/D8MTseEY+Po7GDJoOD5N6Ir3u9cqWF4ZG61PS5cWO7HSUlwdEd1NdsZloffOJCRm5Wk5wOrOvniqlouWIiIiIiIioluRmqaDp4ebliIiIiIiInNiryagiq83HOy1tqR2Sky0oJ1qaaUzkpAGd3i4ORVbPjc3DzcSkxEUUFXLvHlsIUtUicluio2DsbKLYgZjiYiIiIiIiIiIiIjodnJydER2drby1la9/JIT2ltcSzXt6gN3V0ebysv9kftVGhiQJaqkZOtY+e5YydfZHt938MbmR3yVNBERERERERERERER0e3i5uaCjMwsLWVop3pnx3J/5H6VBgZkiSqphecytClgSAM3DKjHLrSIiIiIiIiIiIiIiOj2c3dzlU1Tka7LhOE9rsaD+K9InvEg/iuSZzyI/4rkGQ/iv0JpuR9yf5T9KgUMyBJVQhOOpWLBOZ2WAp6syW6KiYiIiIiIiIiIiIjozvHx8YJOp4MuIwt2dmorVTlWpozSpuPSni+3L/dD7k9psdMrYV8iqixkMHbi8TQtpb43ll0VExERERERlY3UNB08PdgjERERERGRLbJzcpGUlAIZJXVxcVbe4WpvX/btS/Py8sS2c5Apu03Wq8FhJ0cHbe6tY0CWqBKZF5mO1/8UDzKNDMau7uwDVwf1Lz+IiIiIiIiodDEgS0RERERUcum6DOh0mUqQNC+v7EOZ9vZ2SvBXvjO2tLopNsaALFElErziGmJ1eco0g7FERERERERljwFZIiIiIiLiO2SJKonELH1+MFZiMJaIiIiIiIiIiIiIiKjsMSBLVMHJbopDVsejyk9XtRwVg7FERERERERERERERERljwFZogpKtojtvTNJeWfshdRcLVcluysmIiIiIiIiIiIiIiKisseALFEFtO9aNlpuTMCa6Aw1Q1PH0wHfd/DG5kd8tRwiIiIiIiIiIiIiIiIqS3Z6QZsmogpgwTmd0io2I7fg1h5Qzw1z23mxm2IiIiIiIqLbLDVNB08PNy1FRERERESVEQOyRBXI6aQctNx4PT8YKwOwMhArA7JERERERER0+zEgS0RERERE7LKYqAJ5ZW9yfjBWdk98pKcfg7FERERERERERERERER3EAOyRBXEJyfSlHfHSrJl7OpOvmjk46ikiYiIiIiIiIiIiIiI6M5gQJaoApCB2InH07QUMKapO1r4MRhLRERERERERERERER0pzEgS3SXS8zS4/nfk/K7Km7h54SxzTyUaSIiIiIiIiIiIiIiIrqzGJAlusu9sicZF1JzlWnZVfGPD3orYyIiIiIiIiIiIiIiIrrzGJAluou9eyQVa6IztBQwt50X3xtLRERERERERERERERUjjAgS3QXOp2Ug7At1/HJiYL3xg6o56YMREREREREREREREREVH4wIEt0l1lwToeWG69j37VsLQdoX81JaR1LRERERERERERERERE5QsDskR3ERmMle+MzcjVK2n5rtiPW3pi72N+fG8sERERERERERERERFROWSnF7RpIirHDMFYgxZ+TvjxQW++M5aIiIiIiKgcS03TwdODr5chIiIiIqrM2EKW6C5gLhj7a9cqDMYSERERERERERERERGVcwzIEpVzloKxvs7sopiIiIiIiIiIiIiIiKi8Y0CWqBxjMJaIiIiIiIiIiIiIiOjuxoAsUTnFYCwREREREREREREREdHdjwFZonJoy+VMBmOJiIiIiIiIiIiIiIgqAAZkicqZo9dz0HtnkpZiMJaIiIiIiIiIiIiIiOhuxoAsUTlyITUX3XfcQEauXknX8XTA5i6+DMYSERERERERERERERHdpRiQJSonErP06L4jEbG6PCXt62yvBGOD3HibEhERERERERERERER3a3s9II2TUR3iGwRK4OxO2OzlLSrgx02P+KLzoHOSpqIiIiIiIjuTqlpOm2KiIiIiIjuRp4ebtrUzWNAlqgceH53EpZdyNBSwI8dffBcHVctRURERERERHcrGZAtjV/gEBERERHR3Yt9oRLdYe8eSS0UjP24pSeDsURERERERERERERERBUEA7JEd9C8yHR8ciJNSwFDGrhjbDMPLUVERERERERERERERER3OwZkie6QnXFZGHEwVUsBj1V3wdx2XlqKiIiIiIiIiIiIiIiIKgIGZInugAupuei9MwkZueornFv4OWF1Zx9lmoiIiIiIiIiIiIiIiCoOBmSJbrPELD2670gU4zwlHeRmj9WdfODqYKekiYiIiIiIiIiIiIiIqOJgQJboNnt+dxJOJ+Uo0zIIu7qTL+p4OihpIiIiIiIiIiIiIiIiqlgYkCW6jeQ7Y7dcztRSwI8dfdC+mpOWIiIiIiIiIiIiIiIiooqGAVmi22ReZDpmn0rTUsDHLT3xVC0XLUVEREREREREREREREQVEQOyRLfBzrgspXWswXN1XDG2mYeWIiIiIiIiIiIiIiIiooqKAVmiMnYhNVd5b2xGrl5Jyy6Kv+/grUwTERERERERERERERFRxcaALFEZkkHY539PQqwuT0kHudljdSdfuDrYKWkiIiIiIiIiIiIiIiKq2BiQJSpDr/+Zgn3XspVpGYT9saOPEpQlIiIiIiIiIiIiIiKiyoGRIaIyMvtUOhac02kp4OOWnugc6KyliIiIiIiIiIiIiIiIqDJgQJaoDMhWse8eSdVSwHN1XDG8sbuWIiIiIiIiIiIiIiIiosqCAVmiUpaYpb43Vr4/Vmrk44jvO3gr00RERERERERERERERFS5MCBLVMpe2ZOMC6m5yrR8b+zqTj7KmIiIiIiIiIiIiIiIiCofBmSJSpHspnhNdIaWAua281JayBIREREREREREREREVHlxIAsUSk4nZSDsC3X8cmJNC0HGFDPTRmIiIiIiIiIiIiIiIio8mJAlugWrYnORMuN17HvWraWA7Sv5qS0jiUiIiIiIiIiIiIiIqLKjQFZolv0+p/JyMjVK9PyXbEft/TE3sf8+N5YIiIiIiIiIiIiIiIiYkCW6FbsjMtCrC5PmQ5ys8eRnn4Y28xDSRMRERERERERERERERExIEt0C366kKlNqe+MbeTjqKWIiIiIiIiIiIiIiIiIGJAluikLzukQsjoe8yLTtRzgyZou2hQRERERERERERERERGRigFZohKafSodr+xJxoXUXC1H1b6akzZFREREREREREREREREpGJAlqgEjl7PwbtHUrVUgSEN3LUpIiIiIiIiIiIiIiIiogJ2ekGbJiIrMnL1CNtyA0evZytp2SL2165V4Opgp6SJiIiIiIiITKWm6eDp4aaliIiIiIioMmJAlsiKLZcz8fqfKUW6J5ZB2CM9/dDIx1HLISIiIiIiIiqKAVkiIiIiImKXxURWmHtXrPThfR4MxhIREREREREREREREVGxGJAlsiJWl6dNFZDvix3bzENLEREREREREREREREREVnGgCyRjfQvBirD3HZeWg4RERERERERFZWIqCMHEJWkJS3JjMHJIxGIy9TS5VDyPwdw8HQMsrX0XScnFbocbfoOUM7fP4layrJsXYY2dTfIQNxp247LmK3nwhbZsRFF6mW2LrVQujS3Vx7druMzd65vRmmtxyZJZ3GwnD9biYgqIwZkiYiIiIiIiIgqKCUIcOQskrW0sbILNkZhx+JN2HFRS1qSdByrF+/AseICt3dQ1K5NWLT2OK5r6btLFNZMm4Exk1aJqTtDOX+7rG89+1A4Ro2bhi/33C3Bw0QcW1v8cZkqci5iN2HiqKn4MVJLl8D1iB2F6+Wldfho3AyMW3lWy7Dt3JdrKVE4uG0VFi1dKoZV2BoRW+hZdbuOr8i5vkmltR6bXNyLReXs2XrqzDksWbYWn83+Fu+89zEmTJmN+d8txeb/7URmZpZWioioYmNAlojuXjmZSEpOVobMO/gXv0REREREROWVEgRYvNdsQO7uDjZq4nfgy0nzsTteS5cHp1dh3KRVOKkl75xgNGnmj5rN6yNIyykzt3DMTrUaoEmtmmhe11fLqSTsAUd4omppHLZ/fTSv5Y/7mwZrGXe3hP2LRH1ahB93X0G6zEiLxv8Wzce4+XuRoJQoz+Kxe/40fPl7eXoo3TnZOTlYsXoz5n27GKmpaWjauD5e6v80uj7SET4+XvjzwFF88tlc/HPxkrYEEVHFxYAskQXzIpWPfFQe5YgPt18PQOtazVGvYVtlqFGrLZ6bvAKRaVqZciDp733Y/cdRXGUXMURERERERGUjLwNJSRnQ5Wnp8iA7FclJhbuPvTNc0eDJNzD6mVC4aTll5laOOaAjhgwfiI5lHjUuZ+wd4aRN3jKXxnhq+Bvo28hTy7iLRf6M6T9FwfvBfpgy6Q0M6dcPL732X8z44Gn07RSKqlqx8isHukTxXLqTfYWXE3l5efj8y+8Rc+kKRo8cgsGv9kP3f3VGaNOGeCCsNZ7r2wvjxg5DWLtWmDN3ISJOnFEXJCKqoBwmCNo0ERnp9WsiUnP0yvRzdVzRp7arMk13WgxW/vdfeGHeP0gK8MczL7+E59tUQWr8Kfy+bQfWH8pB257tUcNZK37HJOP36T3R9/1ruO+lXmjCVw8TEREREVVKWdk5cHYutbBLiaWd/xO7/3ZDq381L9JKMu7YLhxJrYGHHqwPJYyTcgQbVv4N99DawN87sG7lJmw8HINMn2CE+Bn/TJyD5H/+wOZN27Fu0wGcTtQhoFZteOcfZiyObD0DtOiMe1MM6/kb11AN9ap7wkErhbSz2P3HddR4sD3qeWh5UkoU9m5bjxWb9uHkpWR41gpBVRdtnhHZHfORI2dw5Px1JCfG4NypCETb10KDAHVfk6N3Y/PqLVi58xjiUuwQVDsY7sU0TUj4S+zr2q35x+0U/SeOGZ8jRQ4SIrZg4zpZrvBxyW6gDx85ixOXUpGYcAFnIyKQ7BuK2j7qkoZ9Wvf7SVzOcEatWtXgYqfOKzj/NZB9aAMWrdqJWL8WaOB0rFD+j6u2Y9fJWDjd0xDV3cQ6ja+VXy2EVCn4gThmz1KsifZE81pVlHTyX+vw09/OaF7DDpG7N2H56h04KPbV28w5trqvRqwds1LH0BDdm9rh4KZV+Ele03g9atetUXAtlOM+gJw6DVFN24fs+ANYv0Zs21C/gkX9MlMHTM9ZSc6NwlDXVv+OY3HxcAoIQVCRSpKKmH1bsHyNtu6aftAdOYZIL3FczY1apObE4tgvW7FmvTin52OB4HqobrSu/HNhWMY9Gae3JqPB0wX3prK/ol6tKabOKvf1lapG9TIKu5duxkWjupa/vbqJ2LFhHZZvPYJz8bmoaXzuleV2I02ce5foHfhp6VYcc6qJ5sGe4v46gl/+tw3r1qvnxj2oPqoZRfbz61Jwpri2P+GnrbGoWlNsa/2f0AU2RnXje1rbv3NujcWzxMwB5YvHjh824YRrGwwb2B6FGg+7BKK6f8H1s6luaYqty9q127h5E7Yfiy30zCt6rsW2963Cqj+uwLt+CKo4apmSfC92xFEcPXpZXL/ruBL1F45F5yCkfjByDOvpUA2Xi7n3bH0G5rsega2bNmCluMaXs9xQy+kydhzPQAOTZ6tNz0Qr5wJ5icpzY816dV6acxXcE2j0TDexccuvuH4jCcPfHAhv74In6LLl68X3xmwEBwXA3t4e9erWRp06NbFoySq0a9sCLs53/Jd6RERlwtp3QKJKa2dcFmK1P6+t4+mA7zt4K9N05/2z7G0MXpEJtH4Fm3f/jvnjh2Po+DnYvG0Z3msNXP1jHj5YcmsdQ2WWoBvk/LJaukAWku7qfr+IiIiIiKjS0V3BsUMnsXv5DExcGQWdRxV4X4/AmrkLsfWqVgY5OLZoKsbNP4xY7xB0CauGhP07MH3mOsRoJQwiV07LX08QrmH30vmYtc20lInYTZg+aRE2XvJF+05NUCvlCL78dBGO6bT5RnQJUTj5dyLMzELcts8xbvYO/GVfC11aVUHMH+swUazX3HoM5DIT/+8AIiH21yND7P9XWBShzcyXKo5fnJ/FZ5HTsC26NHRF5NqC40q+dBbHLqUq06aUffpiD2L8m6DL/f5I/uNnTF18pGD/lfMfhaPbvsJHG6/Ayc8LPm6O+dflf0tn4KPt15T87PNHsGj2z9ghyk5cfArJ4hy7x4tr9fVC7DZ6b2TC32dxUJwjA93lKBw8dgA/TvsKy89kwD3AVVy/3fjy602I08pIxe6rEWvHrLiyH19OEfsV74iqvjlKV9nTlx4paE2rHXeMYeVXt2LWtE04BlG/uok6cP0wZoXvMN9V7S2cG0NdW/EX0LRTY1S9FIHwj2cgPML4WOT1/grTV4r1eFZBVedE7P5yETaY9karO4LwSfOx6HAGGnRqiwYu0VguzvHWWG2+WeL4XggT/6uy/1qKqXMPIE6c8391ErmnxHlYGWFjq+NERB46i0jT1/D+vRXjPt6KyEw3BAUA0bs3YeIX4lrntyiXy0Xhr32LMP3/IpDu5wY/Z1/EbPkco2aJ+yfTX9yHIXCKPIB5H4fjoNEvP5S6FHkKW78Ix5oLTqgqzr17dX84RYlzvdekk3Sx/IZDN4BqxtFLM1KO41i0ODMPdECglmVVcXVLKP6+E/VlynyE/yHuOXFP3+93BTu+XYIdFnoc1kUswszlZ5HdpC1CTIOkWddw/lQ04iw9ZzKjlHph7d4ryTNQIct/vAr/+xviGrtBd2YrJi4t2km9Tc9Eq+ciAyeXzceX4j6rev9D4tkH/LVyIVacNv/Ls+iYK9i1+0+88lJf2BkFv5OTU7Bn32HEXCp8czS4NwStWjTFkh/XaDlERBWQnoiKGLIvWY9Fscow9nCKlkt33l/6rx5pqK8adJ9+6u8ZWp6RE3P1nYPE/Ps+0e/XsuJWDRLlRd7MI1qOdE2/4jW5nkH6FZe1rOxr+t++G6V/NkzmG4Y2+v+ui9YKSIblxPoT9uq/eq1NftnGz8zS70/Vih38JD/feJhxUJtPRERERESVRkpqujZ1Z8Runa0fNnKh/qiWNnZ04QT9sE826mO1tD5uo37KyAn6aWsi9fl7nbFHP1fmbb+mZQjJN/RJudq0dH6l/v2RU/RLz2hp/WH9d2KZKauM1iOcX/OZftjb3+kPGH6cU7Y3W/+/OC2tP69fPWWCfsKa81paStHv+WaCfvTPJ7W0ieMLxfEZr0OIWaufILY/90+jn+dz1XUPC9+jz9KyCtGWmbbV+GdAse2vC5+jrIPfKcewx/jALshlv9T/lqwmzZ5zZf2f6Vdf0NJSuji3bxudN+38D5shtmd8fs1dF+Wci/OycH/BtUj8RT9NOW6dlqFd44WHtZS2b2/P1q8+X3Busv4UxyTPoeES27KvJizVM2X748X5StAyhPNrPhH7sET8hK8xqQfKuj4yqpeS8fkwdtPnRqsP3+yxWkeV6z3yE/13x43rUqT+54nG51WnPxBuYV1zftEnaWnTa2FKmf+94bcZGgvHrZwj43tXu+e+O64lBfX+Xqk/X6SuivNw0HAe1OWGjRfXzrhcurjHs7VpKf03/RxRbubuG1qG4Zqb3jN6fdKuL/XD3v9J/5fRvivX3OhcWHRlo7J/xsdhiU11q9i6rF070+PPLjj4Quc67n/6aW8XPebCtOff1itaWqWsp7h7r8TPQK0emzwz0vfOU9dreC7a9Ews7lxodcy4Clu6L4WlP63V/7B0tZYqLC3NeAMFrl5LUOpUcrLhF2xERBULW8gSmbEmOkObAp6saa1PELqtrpzE/r/kRB90vN/MdWnaAl3l+OqfOFP0jwGtu7IT4eO24WKL/pj9fwuwYEpXtEEyFg96G4uLrGspXn54MBY79sKk8f3xeIjaMne0oWWuXyuR/zgeVRI18cxbQ0R6CO7zUzKIiIiIiIjKMV+0CKtf8M5RlxDUDQCSU1O0DMHLF97ab5Sy0xIRkw1URQ7STboOCrrXaD1CSIv68M6Lwcm/tQxT/0Tg4HVfhIUZ2gxKnqhbxxe66GjzLSTNiDp4CglujdGlbUEXmbAPQZeO/sBfJwu18jNQlhFl/vVITS1H8oR7oW5XM3DwcAwQ2gphxgdWu5b4yS8eURe1tBnK+gMaI6y2liG5iXPrn4PoaOOmeK7o8kwPBBb5jZ3JdakeLLYJNGjZJv9awKeK8n7NhCTTZpIm/OsjLKTg3DjVCUagOLb0NDVt+77a6F5xvox+Hg6pGwzk6ZBk5jpIfn5i3+IjsHpfDLINLTmt/gbzJs6NUtccEdYprHAd7dwSNUUdPXhM/l5Iu94BoXg81LguecHH+FcSmUdw8C+geXuTddWtJrYTW6TluCVV5XH/tQdrIhMLWnhaPW4bBIcgpFBdDUVzH+DkmbNahqrJ4/9Gc+NybuIe1xqzZusSkXBVZInl0nUFvy9T+LRE367G9wzg3bwxaurO4likloEoHBPnM6RFKxTb/1yC2JY2aZNi6laxdVm7djUf7VH4+B3NtOQV9WLr4r1ICH0Cw0yO2WbF3HslfgYq5UXd61r4meHmYXww2nko7plY7LnwFXUUOPbrOkQmaa1irdTP+PgbqFXTqEtvTdSFGFy6Eoe0tKJNfqv5+8HN1QXxCexyjogqplv9tk5U4Zh2V9y+2p171w+ZuB6Pf5QJZ4jPZ2bci4a95Pgkrpb0s1utXvj8r/3Y8/V4vNC9PR4fOAfTx8sP2Eex/ajpD5yZaPvuRqXs0KHjMf/j/kpuxEGxXTkR0lXkv4C2Sm49dBswXKSH41Hjz9NERERERETlgZMjiulEVJFsHOTTxWDvT19hzJiJGPvpEmw4eA3J2iyr3ByVgFV+kM1UcqJYTyI2TJuIt0YVDFO3iG1n58CGt8ookpMyAC9PaK/SzOddxUv8n4oU425rNcoy/v4IsvqbskSkyJ81j60rtH9vjVqHYyLb4nEJyvqvHsDUQsvNxwbxQ2R2nvGRucK9cCzFPBdXlO5vKzKQoF1E2/f1Vpi/DpJT65cx+plgJKwOx6h3Z2DWygNIKMlmbTk3Sl3zRNVCLykVCgVutesdLINmViTdUAJlxxYYny8xLIgCxPmyrcthoGaPgRjSyREHv/0co977HOG/nUKylTp1c9zgLn+fklP4hDq5Gb8jWsiLx8kN4Zj4nrjHPw7Hol+jkJClzTPm4gh3bTKfTwd0aZqDvXv2qscug4ZJNdG+jenJNqOar3qub6maFdStYuuydu2qVvFXF7AoA8cWi2fdJTHpaNsz03YF916Jn4FKeV/UKqZ/Z5ueicWeixA89dbT6OJ4Cl9OmopRny7CDqPu0E1dv5GImjVM31wO/LprL74J/xFR/0RrOYXVrBGsvHeWiKgiYkCWyMRPFwr+RPO5OiYfSOnOcvcSHzOtER8wb/pDuwt8/MRPJWkxiNixAuFfT8aXy68pczZcKPr3rPfVL/hrSJd76qKjNk1ERERERFSe+PnIFlHZRVqvyp+flDz/akoAymZ5UVgzMxxrrjfGsEkfYsaENzCkX1ulRWLp8EffCR/iixkmw5getr1T0sBcIKu4nxdtDH65tf930f0Tw8BQrYAlIR0xxcxy73ctGrS44+7ovjqiZoeX8P7HY/D+C/XhFLEJEyf9jMhSD07mIMt0neYCzjYFoR0RNrjo+fpixktorpUolr0vmjz+BqZ8/F+MeKIaYjf+jHFf77Dtjx1KVSr2hn+FeRFeeGrM+5gxaRRGDOiGFjJ2ZxNX3N+hMdxOncQx8YyJOnoKyY2awFxHZ0UEhKCuGxAZWeTlzTfPlrpc3CW+GoENfwfjpdfbwPvQJqzIb/1bFkr6DDRTj82x9Zlo7Vx4heKpt8Zgxgf90OeeG9g493PM+t18q3kfHy+kpKZrqQL/ebkvAqpZ/q6TmpYGL89CXRMQEVUYDMgSmWB3xeWYhw8ClIksZBT5ZYIUgzOb5bg9aqsFSyAG2z98Gk3ufRQPj5iNbRedUbtZNW1eMVxdivyVIRERERERUXngVEMGXGNw7ETBz7qKzCNKl6KBwUW7lLQqWnaR6YmOvbugpD8yJ5+OQhz80aCOlmGqTk2EIB5/nUrVMm5OSF1/ID4Kf5k0sjoZGQ24BaOOmZ8XLS1TWBDq1HWELvIsokoYHFTW/49Yf9FeOsudcrOv9q4IDH0Cbw5pg6ppZ3HIUlfXN0Opa6miTpgEkyKjEAlH1K0tg3Xq9cbfUThp7XorQcQcRJ4q6buTLHD0RUj7fnj/uRAg6hSOGfUWfsuSTuLoVXmNrXThlRmBY6eB5o/9G819brItaKM2CPONwcETUTh7OgNNWrW0sUV3Y7Ru7grdwd+w28y9mJxSsmdDsXXZ1gCwmz+eGvoS7r+3B/q2B/YuX1fiZ4BNSvoMtFSPTdj0TCxBMNzJpz7Cnv0vng+VAffjZv9ooEb1IFy6HKulbJObm4fYuHjUqlVdyyEiqlgYkCUywu6Ky7mAxujYSU6swG5zL/356yi2yXHT9mhQS8mBi4dtf8IZGT4Yz31zErVHL8C5Q79j2Sdj8GqXetpcIiIiIiKiu1SNDugSApxcuxBbI+OVbnWzr5/C1v/7DSdRE10eLGGLRw9XeCMVMRe0ripTxLrmblW67DV18pdVOBarBoKT/16Heevj4db6IbQv9GOaUesury7o2d4VJ5eHY01+V5g5SI48gihLAZVAfwQiEefPq+WzcwDvDl0Q5hGPNeHrEKkEs3KQsC8cC/fnIOSxLmiglCzMu3UrNLGPx/9W7kac/HEzLwNxYpmlJgfWoFsYQhKPYN6C3QXd6GbG4NhfBT0rBQZVEf9fQ2SULJBTsE9uMfhxrmGf5KxEREacRXmL0d7Mvpo75puTgWM/fYUfD8Xmd/WbfCke6fCFmddR3jytrsWsX5Jf17Ljd2Pe0lPQhYShp1ZJGrQNRVXdKWxYfwrJyqGJ87D2J6XL2wKN0fMxfyT89jPm7SvY7+zYIzhpGo+y2No2Flvnz8dWo3ofc+UG4FYNgZZ+rWFLQPCvPVgeob2LV9yra8J3I8ajPv5lrftgF0+420Pc42fVY8mJxcGlS0yOuTjq+0lPbl+HA/E1cX8zQw90GTi5dBre+mApTpr9Q3txzp/oody/y2eI8xEZC504Zdk6cY+t/goTJy3E7hK8oqr4utwYXR72hW7/JnHttPMk529Yih3Gx+sVgqbao1Lu3/2ZR7BovaUAfDBqBQBx4vwpXU6bdA9tVUmfgV5t0b6RuFbb12Kv9qzNjhX1eHnhfbPtmVjMubi6FV/O32R0HqMQGyeqaGCw2XcDy+6K9x84Kg4/V8sp3p59h1DF11t5j2xR4h6ZORFvzdwKsVkiorsSA7JERthdcXlXD92elRHZTMz8eDYOpKm5ipwYLP58NuTf8T36SlcYeoryqaq1cj31t/p+Vyl6J7b+qU0r4hHx5zkxroc+vdrD8Aegiclql8W3RtSpm/5BlIiIiIiI6Fb5o+PAfni8Vir+N/8rjHpnIkZN/Rn/u+aPp4a/jDBb3ldqzL8DHu/gi7PLP1ffbzhlKxLa90C3Iq1OPdFe/GC24YtpSrlxc48gObQbRj8XWtBSzj8EdT1SsfXTRTioBZcaPDMYQ9oDu+dr6x81FROXHUbUdQs/WAU8hMebywCGWn7c6lOAfWM8/87T6Jh9BF9O0NaxMh61nnwJbz7ory1owi0MLw8MhfeZHZj6nljmnWmYcywYTz1oErjy6YI3h3dESMwOTBwj1y2GcQux4eSNglZiTbvg8Rqp2P3lVGXbX+5LLNin3Ahtn8Qw5nMs2hddsvej3g43s6/mjvmmOKLmvVVwfuV8jFKuv7imy66gVu8n0dHmLnNtk1/X5qp1Z9THOxBToyNGD+lSEGCq/QSG9A5C8u8/Y5y83uI8LM/ogKdMuqf2fnAwRj/pj5jVBfs96ovfcCyh4DworRRl98tbir4WCXmuSmvc374tqPfTdwEdX+hh9g8IAmsHwy3+AKYuOKDlmFe1bX1gy0Llvn9rws/YnRqC54f3QxOrrdtD8a8ng5C9Z6l6LO8uxL5qT+B5m/teVnm3a4UmVxMR17gJmudvLwMJ8n2muhTz76SVXELx/BjDM2u+8q7qUePCEX7MEf8a+jI6+mnlbGFDXQ58ZCBGPOaLmJXh6nkS8+f/JfbfUuNgsX99e4cg/bd12GC2AWgQOvYIgdvpHRinnPdVKEkPxyV7Bnoi7AVxfB4x+PFT9Vk7at5J1O0RWrh7YxufiVbPhVstNLA/hfn553ERfhV15eXHG6sLm2jVopky3vrLbmUs7fxtn7JsdMwV5T2yY97/RJsDpKWlY93G7Xjk4Qe0HFMpUF/tnIqiHSETEd0d7PSCNk1U6QWvuJbfQnbvY35sIVsuxWDlsJ4YvCJT/DTTHkNfaCE+6qZg/+Il2BAlfhbvMwWb5/RBba00rm/A8KZvYzFc0LF/P3T1OY/FK2LgU+scDhzqhPmH5+OZYODArOboPj0TAd2GYPqgexG3+v8wY8lJNYg7ehniR7QQE/FYOehBDF4PvLfhNEa2ljOFKyswoNU4bOg1BSe/6aN1q5yM7WPb4rmF4ue3XsMxsbcXXOv3x6P3KjOJiIiIiKiSSE3TwdOjpFHPMpKTimTZ3MzRE95uN9kVqUGmWFcW4OblWUxXpDnQyW5GnX3hZi4IpOyTmfXkZUCXloFsG/c1Oy0RujzHIuvJ1on8HJHvIfJtapag7q8t27W+bm099q7w9jD5g2/l3OXAyU2ck1u8DGWuRPtq5ZhvQv41tfna3STtvnCyVEclrT5arMf5rJ8DeUw5jtbWoS2PonXZlFL/YOP9IcvmlfC6GO7Nmz3/eUcQPmYd8JLJ+5XlerPFvthS+Q3PrNKoU8XV5RI+c4p1q/d5SZ+BhueRLfWmuGeitW0brokN+3XhnxjM+Xoh3hjyEuqG1EJiUjKuxRc0cXawtxf59yA7JwcLflihdFk85NV+2lwzxDmVdd76PUhEVH4xIEukOXo9By03JijTvs72uPFsNWWayqN4HPj6ffx3/i5EGpq9BvjjmcGfYfKg9ggw+Tz4z/pheHrQNvwjEwFNMPKLb9DrzHN4+MN6+QFZpB3FzJdfxkd/qK2kZRB13mAvfPX4ZGy4qYCsEL0Bw599G4u1nmJCJ67Cr4OaqAkiIiIiIqoUylVAlojoNonb9jmm7g7GmxP+jQZlGVCncu3IsZP48ed16NSxHbp36wx7ezttjirmUiwWLl6Jqn6+eOmFZ+Dudut/zEFEVF4xIEukmX0qHSMOqi9CeKqWK1Z39lGmqTyLx4axj2DAwky0Gb0Ma0a0gMU/kstMRlIm4OruDRcrf8CXmZyMDLEWH+/S+nO7TCQlyyBvaa6TiIiIiIjuFgzIElFlEvX7Uuw+dQ3HTmegyYA3MDDUU5tDldX164lYuGQlLkZfgY+3J3x8vJCRIX9floqsrCz0fuJf6PhAG600EVHFxYAskab3ziSsiVZfgD/rfi8Mb+yuTFM5d2Ubxrw2DOGHgNqtu6Jnj3oIQiZcmr+OgQ/kv/WFiIiIiIjojmBAlogqj1gcXL0DJ3WeqN/xIYTVMnkHM1Vq128kITbuGq5cuQovTw8EBVVDcHAAnByL75KZiKgiYECWSFPlp2tIzFLfH3ukZ1W08OOHgbtG8kms/HwSPvr6qNotsTRiAeJHt9cSREREREREdwYDskRERERExIAskcD3x1YQOZlISmf3wEREREREVH4wIEtERERERHylOpGwMy5LmwI6BzprU3TXcZSBWG8GY4mIiIiIiIiIiIiIqNxgQJZI2BWXrU0BnQKdtCkiIiIiIiIiIiIiIiKiW8OALJHAFrJERERERERERERERERUFhiQpUpPvj82MStPmZbvj23h56hMExEREREREREREREREd0qBmSp0mPrWCIiIiIiIiIiIiIiIiorDMhSpcf3xxIREREREREREREREVFZYUCWKjXZXfGWy5laii1kiYiIiIiIiIiIiIiIqHQxIEuVVkauHq/sTVbGUvtqTnx/LBEREREREREREREREZUqBmSp0vrkRBqOXle7K3Z1sMP3Yd7KNBEREREREREREREREVFpYUCWKiXZVfG0v9K1FPDhfR5o5MPWsURERERERERERERERFS6GJClSsdcV8Vjm3ko00RERERERERERERERESliQFZqnTYVTERERERERERERERERHdLgzIUrm25XImHt52AwvO6bScW8OuiomIiIiIiIiIiIiIiOh2stML2jRRuRO84hpidXlKS1ZdvwAt9+bILorDttzIbx0ruyre+5ifMk1ERERERERUFlLTdPD0cNNSRERERERUGbGFLJVrMhgrGd73eivYVTERERERERERERERERHdbgzIUqUx/2xBt8fsqpgsurICA4IbwT94Gg5oWWXi0DSxDbGdQStwVcuqiCLCn0aT4LYYvjley7nbZSIpOVkZMnO0rHzJ2D6uLfybP42vj2VqeURERERERERERERU2TEge1c7iplK4KgRBqw2DXYY5pVxUOkucTopJ7+1ra+zPcY281CmqTJLRuQf+7D7WAwYOiuZq6sHq8Fk46H5g+g9Yho2nE7WSknJiDt7ElfFeOvZGC1PyIxBhDz3fxuXLf/+2TwZz3VojnoN2ypDjVptMWDWLvyTH5iNQeQ+cUxXT+LYxRQtj6iSs/ZHLoZ5FfwPU4iIiIiIiIiIiBiQrSA2TJiL3WlagorYF692VSx1DnTWpqhSS/4T4X0GoPdX+5CkZVEJdXkck8YPEUN/vFAfOLPsewx4+HnMzG8d6o1H39uIzStWYefQFlqe8PcGvCXP/frzWkb5l7T1bXT/zxJsT/PHM0PFMY94HI82ysSG6YMx5JujWqkmGLp0FVZv2Ijpvfy1PCIiIiIiIiIiIiKq7BiQrQgCXBBwdQk+WnJSy7BBptrlZlJy8W0DM82Vy9G67bS2eJq2jXLQ/HBXXEFAtnkVB22K7hpafTXtItZs3TRmqKfmyqQlIU6btM7KOvLZUkYw3HeymF9NdFRz7173v4ChQ4eLYTxmr/gdP42vKTLP4btdp9T5knc9tHmgCQKMewjPSEKENmmW4dlRbv7IJAbbl23AVdTEyG9/wfzx4phHf4Zlv+7HniULMM842BzQBB1b14OPliyRcvTMJLrjbHgOqN8DzHUfboXhOWxhvYZ1WrsPi92ute89RERERERERERUKTEgWxG0G473hrrgwIefY+UVLc+CpNMbMHPog2hSR+1ys17D5mjSZzYOGP1i8sAs2bXgYKz8+xwWj2iLGibl/tk8Dr1ba912tn0aMw+Z/MIx7RxWfvg0mtyrbaNOc/SevuuOtkIs1EI2iC1kyz3t/aoDVp9D5LJhaK3V1xqttfoWvQEf9Gmu1c226P3FUZNuhzMRudqonir1dxp2X1fnKnW81ThskIn149DEXHea3WsC++dhgFEXtRa309xoOw8PRvgx0654kxERPiD/OOR988Fd1DrUVoHB9dSxa8E9pj5PDN2qx2PlIJF+/Ht15vTnlHkF3ZXGYLvxs+PeRmg9aB4OaNftzklG3EV1ytfDRZ1QuKBBl/aoraXyj08c08xDWpZR1/KmQ36ZcvjMJLpzbHgOXN+HrwcZPp+o3YcPX3bO5PlsIvkowo0//9zbHB3eXoJI5fNPMiI3T8Pghwu+ryj3oekzP3pboe89SrflXxv3smD9ew8REREREREREVVeDMhWBH8moeHTr6MNdmH8d7us/EIyE5HrZuOjozXRa/wULFsyBSO7ueDqH/Pw8hf7TJbbh49eehqzrj6EkeP74/EQKOVGP9sT3ceeRO3+QzC0l7fyrsSPxnxv1NotBivHPo3B35zDfW+JbayYj9mD6uHMrMEYvOScVub2SszSK++QlVwd7NDe30mZpvJv/6fP46kvruHREcb17Wl0f/x9RNTph0lDZTAsE7s/fhvhf2kLCf+sfgtPDV2BMy1ewfwlC7BsVh80PPs9eg9bgn/E/ICmQzDpZa1VY9NOoo7LbndbIUDNUW2ejO6vLYZLdzGvmO3s9miPobOmYP74rqh9ehfGPGbcba8ot2QQHh63D/8ENMEL4lgmDW6Ji8uWYLc2vyLIjN6F78J3iakWGNi1iZpZhDPu6TIEI/vIlrSCocvjLvdChjn/WfY2nvtGPF8GjhfPDnnd+qP+2WvIMI6B3hFN0PFpuc8x+KDf0xgevg9XrUZ+jPnjPqV+qcN7/bVzE/A47hPP1fL4zCS6k4p9DqQdxcyXBuCD9dXwwpTPsHrFZ5jUC1g84mlM3WXhxpTL9HsOY1bHw61Xf0z7egpmD22Je2o0RW35Svm0k1gx43scrN4Vk76ej2Vfv4JHA+Qz/2XM+MOwzhgsHjsMX/9REwNnzRfbFffq0LqITMiEq1aiuO89RERERERERERUienpLnZEPyOoob5q0Cf6/fok/bYx94npHvqvTpjOM5KapE/M1qalhPX6/5qU2z9TphvqO0/bq0/U8jJ2TlLyqj4ySb8tQcvU79VPVZYdpF9xWc3J+H2SvrG2bIaaJfyt/+5Zuexc/XEtx1ZYFJs/3KzVFzPy19FiQ/7OU3l28BOtvn2i/y1Jy8vYqR+v1LdH9ON/uaZlivo6TeY11L+8SsvLEPXyPnXZ/alqlnRmQW9lWfX+EAzbeG25Pk7LUlxern9Z2c4g/Q8XtTxRm3+bZGE7Qc/qfzivZkmJm95U1zt8vXr/5Jcz3JuaPy1s/y4Qt2qQuu9Fhgf04/9XcG0kw/Mk/7wJ+cvPPKLlqAxlp/6pZZQnqX/rfxjeRjtOObTRPzvm//S/Fbp41/QrXlPnzzioZRUSrV/xpnxO36cfv1N9Qpb2M5Oo3Ml/ppp8HpEM84yeg8U9By78+Kwy/+Xl0VqOkLpTP1quZ8zW/M8txgzLNH5zuf6ClmcqI8HwzUaV/yzPf05Z+FxlYOv3HiIiqpRSUtO1KSIiIiIiqqzYQrbC8Majg0fjUZzDB58buv80w8MbPo6ZSPr7KDYsm42Ppi/WWumdx0WT7o5r1783/z2ILp5aF6R1G+M+P3USuBcNe8nxOcRp3fEd379E2XbzQGD/H/uwWxmuAbJx2V9H8I/FHSs7xu+P7RzI7orvKnXroaG3Nu3iA19loh6aN/ZXpqTa9Tsp43+uaZXrxC7MlJMtApBx1FAH9yEONURmDI6dl13n2qIuGtbSJuGCe+qatPo0bKd7H3RUWjqqfB54AgPlxLKdOCB7Lj69D4tluU790LOpnKGpCK8yNrRwlcOIx/FoSDy+fvkRDC6u61ALGjR9XGmlPHP4cxgTvguR5ambT496eGHWfpzcMAXv9fYX+5mM7QunoXfznkW7bbfgnxWTMXhFJgKGfoH3O6nN/crjM5PoTrL+HIjHwR1HxbgJGrjE5D/fdx9NgY/8VrD5L2i9ixsxLAP06dPLqIvxwlz8xDebzHhEHtqAxV9Pw0eL/1RnnPpb+0xVF/e9LO/b7zGk/9sI33EOWucbqlL73kNERERERERERBURA7IVSUgfjBpdE1g/Dyv+8kft7lq+kcy/vlffidnxOXy4+Bwy7qmJ+tq8mxeDjAw5zkRGqpKBxWMHoHefgmHMEjX/Tjh6oyAg2ymQ3RVXVBFpWco4M0MdY8m0QnWw99htav5NcnOvpk2p8rfjKOapUyrvaghUJlKQJN9NmJOp/jLf26VwuYrg/hcwdOhwdRj9GZZtW4CRTTOxcsR0bLuJQKJPt6lY83V/PIqjCB83GB2alr93qQa07oORX/+OI4cXYNpz8p255/DRf2YXfv+wOVFLMGbYLqDpK1g4spPSRXN5fWYS3UnWnwMZ0CnvfD2JmYOM75m3MVP2mG6WYRnA19NS/+eZ2nu+H0SHxydhydks1K5VV5tn4I1Hx6/C/KEtgB0bMKZ/T9Rr/TQ+2qUGWsvqew8REREREREREVUMDMhWKC5o8/IYDAyIwQffbUCco5ZtkLwNH/Sbhg1pnTB/zzEc2jAHk4a+gLba7FvnAldPdWrosmOIv3LaZJiPxwu9pLPsZeTqse9aQUCW74+t+FxctVbQQ+fjUpE6eBrzexW0rr0V+dvJAXTqlCr5GuKUCS/4yHcTGiRnFi5XEXnci4ZKDGMXIqOVnBJyQYPe47FMPJ9ObhiPga0zsVu+S3VZjDa//HAJbo+Bs8ZjpExcLdrDQGEn8fWwydiOenhv2nC0ya8X5e+ZSVTq/KrhHmXiGpJkrwHGLp/Dfjn289H+SEGy9hxwhZty/zTB7D2m94sYjg1HqJxdiGEZIDHVfGv2pB2T8ey4fdD1mYJDF/Zjs7i3h/Ztqc014lEPz4xfJspsF2X6oM3Vk5j53JtYHGX0PaGMv/cQEREREREREdHdiQHZisavK4aObgEsm40P1mt5BmcPI1y2WuvVD4+HaL/6TEvSgkel4762/ZWuBr9esh7/qFl31L74bCUoK9XxdECQG6t8hdesE0YqlXApNtgSFDQNqNrKsJ3NK7A7Ss2Srv6yAuFy4rnOaCO7W67fSu3CeNf6QuUyk1K0qQokeie2Kr18dkKD/O6erchWmtYXSE7WWsG5IKB1f0z74BUltf3Kne7qMxMHvhiMj3aY7Ed0DCKViZoIyO/KvaiIb97BB4eANqOn4o3WhVvolbdnJlGpc2mJts/JiQ1YvNX4jytisHLBUqUHgcfbtcx/RYL154A/7u8iPuPgJMKX77Oxa3R/hLaTrdmBFStM7jOty+HIY+qrHnr17oXa2i1q7hmddF2LKLvURJvnpmDSCJk4iquyW+WSfu8hIiIiIiIiIqJKhdGpCqh2n7F4z/hdlQbV6+FxOQ6fjg+W7cL21dMwoOtgNXhUSlweeAWT+7gA68fh6UGTsXjzPuzevAQfDO2Jj3bdzFslb83R6wUveOP7YysJl/boP6ETArALg58dIOr6Buz+YwMWTx6M7h/vKvgFviFQunk6Pvx6AzYs26YF12yUv52jGN5fbOfr2fh68gB0Hyr7zayHSa8+rgYYvB/CC+/KYEDhch36r5Bz724HF+NreTxfT8OYQT3Ruu04rLwKtHn3dXSVgQkLAhq0VFuxLZHPog1YueIokmRw5u22COvzNsLlc0Ncs5lfLRWFXDCwqWnXobeX7Or9I1F3ZvZ/EE0efg5jpstrOBgdHh+HDWJ+m3d7oW3hOGu+zGOzMfrDc2LKH4GpOxGunC91WHwoudw9M4lKnze6DhiCNmJqw7Ce6PDy2/jo68kY/HBP5Z3KaD0Eo3oYWo8W/xyo3Ut8xmkNRMwajOfeno2VO/aJzzOzMUY8X2VLVXMaPDdVWebqCvU+U+5B8Rxu/dg0HBC7ULuO+i7y8JniHtyxCytnmXlGR6/Af5t2RO+3v8cG+X7YzbMxQ3YtHvA47pPvEbf1ew8REREREREREVVKDMhWRC4tMHD040qrq0KC+2DiN11RG+cQPmIwnpvwJ+55ZxWWKS08SktNPPOJ9o619Usw/D8D0Ps/k7HiVE34Ot7+FoG74gq6K27nb9qHM1VUtXt/ob2DcB++HvG28n7B4Sv+wj0+LkgyxOi9u2Kocj8kY8PktzFgxDRs/0ubZ6Pavedj8/9p25k8Dx98vQ+6B/pg/u5VGJr/RxEuCB06HwsGNUFAlFZuMzBw7Wd4z0rQ8q6wYwM+kMcz+XuEr7+GgF6PY9qK37H5rRbiqK1o+gqmvyvOx9WTyvUZPGwxDiRXQ2jvV9AxYRvGyOeGuGYfbXXB41N+xKRusqnxnePSdAhWH1uASb39gdNHET5LXutdiIQ/npmyDMusHG/S+VPa+2XjseFrea4Khu0X5Tsny9czk6gsuDQfjmVrh+OZRkDk1g2YOXkJVp7ORO1ew7F50XCE5t9ANjwHPFpg5CJ5P3rhzJJ5GNx/AJ4bKu4n1INbpmmfyBrDMr288Y+4z5R78OsjuOeBevAR3xMCeo/HgufE+g+twPD+gzH+j5p479c5apfkBn4t0Wd0e8Rtm4YB8t2w/xHb9GiPaUun4lGthbxN33uIiIiIiIiIiKhSstML2jRVFpnJSMoEXN294VKWMcqcTCSlyzYhLvDxthqescjuh4IOlfUvBmpTtpFdFQeviEdiVp6SPtKzKlr4MShb2WQmJ0N2jOvqLeq7mlWYdj/AwbvwO19LRNT1ZBvqeprYVq6VfalstPMBF3HujU5I/jUr62fUzch/rpXBdSyFZyZReWe4v03ve1M2PQdu5vlt4bkjqdss7v6z7Xlf7PceIiKqVFLTdPD0cNNSRERERERUGTEgS+XarQRkF5zT4ZU9amsZ+f7YKNm6jYiIiIiIiOg2YkCWiIiIiIjYZTFVWPPP6rQpYHB9/vBLREREREREREREREREtx8DslQhHb2eg33X1PfHujrYYUC92xuQ3XI5EyGr45VBttQlIiIiIiIiIiIiIiKiyokBWaqQFp5X3lCneKy6C4Lcbm9Vf/3PFFxIzVUGOU1ERERERERERERERESVEwOyVOFk5OoLtUod3MBVm7p9jLtIlvtDRERERERERERERERElRMDsnTXsLXr32UXMpCYladM1/F0UFrI3m4t/By1KSIiIiIiIiIiIiIiIqrMGJClck2+/9XA1q5/5581ah1r1FL1dnplT7I2RURERERERERERERERJUZA7JUrn14n4c2ZVvXv0ev52DftWxlWgZzB9Qr+4CsbLkbsjoedj/E5Q+xOrWFrjSkgbs2RURERERERERERERERJUNA7JUro1tVhCQtcXC8xnaFJSuioPcyraKz4tMV1rDXkjN1XKKmtvOS5siIiIiIiIiIiIiIiKiyoYBWapQjN8zO7iBqzZVdiYeT9OmzGPrWCIiIiIiIiIiIiIiosrNTi9o00TlkuwC2KCOp4PSjbG5rohlK1XZdbDk62yPG89WU6bLwpbLmco7bY1bxur6BRR65y0RERERERFRapoOnh5l/zodIiIiIiIqv9hClso94yCnDIDKQKhxS1iDffHqu2Ol9v5O2lTpk9t+fnfRbooZjCUiIiIiIiIiIiIiIiJTDMhSuSdbxBrLyNUrQVlTf8bnaFNAO39Hbap0TTiWqrwzNjErT8tRsWtiIiIiIiIiIiIiIiIiMocBWSr3xjbzgP7FQHzc0lPLUYOypvbFZ2lTQAu/0m8hOy8yvcg7Y2UgVu7b3HZeWg4RERERERERERERERFRAQZk6a4hA7OWyADt0esFLWQ7BzprU6VDdlP87pGCYOxj1V2Ud8YyEEtERERERERERERERETWMCBLFcLppNz8VrN1PB3g61x673M1103x6s4+fGcsERERERERERERERERFYsBWaoQdsYVdFfc3v/WuytOzNIrgdiQ1fFmuylmMJaIiIiIiIiIiIiIiIhswYAsVQjHbhR0V9zuJgKyWy5nKsFXux/ilKHKT1eVQOyF1FytBLspJiIiIiIiIiIiIiIiopJjQJYqhH3x2drUzbWQlV0SGwdfTT1Xx5XdFBMREREREREREREREVGJ2ekFbfqmRJz8W5siKnv3HSponXq8dYoyTsm1wwNHPZVpF3vg9+YpythWaxOcMP6Cq5YqUN0lD68HZ+HJqgXBXiIiIiKiOyG0yf+zdy9wVdX5/v/fZxzEkRQt1BjFmqiGNLDUvIaMjTjHUCeKTMVJTYnE8pIeL+VlQhN1vDfhkBoyR7I8lJ6S/CdODpLXRAvGZCwsxQZRysBgRPJ3/mvtvdDNfXMzzdezx4q9vuu7117ru75rbx/7s7+f753WIwDXm+8L/q2b3H5hrQEAAAC4EdU5IAtcTWY64RL/94c2tr9muuEBf/vO9vi+m110OOhm22Nn/OVYocbttwd2S5TsFwAAAACAuiIgCwAAAICUxbju7Tt7ZQTrb9o0th45x5wn1tEzdze1HgEAAAAAAAAAAAB1d9VHyDqOcMSNrTYjUSsaIRv89zxtybpgexzbq7lGeVf9y+NPvv1Bcccv2J7jOG/sv4e3Zo5YAAAAAEC9YoQsAAAAgAYLyBJ4RV1UFqx17Fe339RIc/3cNPng9/ru4v+zlR0dfIt83H9ue+zITGtspiZ2DMCWRapiAAAAAEB9IyALAAAAoN4CsgRg0ZBKgqW/eOOMLly60mXNEa2O65UFVT0Tzur0v+1B24qYqYpXd29mrQEAAAAAUD8IyAIAAACoU0CWICyuBY5B2YoCsn/89PtSc8Xe+ouf6RGvJnridtcazzkLAAAAAEBNEJAFAAAA8DPrb42YgViCsbhWmGmLTeYo17L+cqywVDB26O1NlB3SyjYalmAsAAAAAAAAAAAAGlqNRsjWRxCWeTrh6GoG9v/zl67a/Bt324haAAAAAACuBkbIAgAAAHA6IFubwBnBV9RGQwVp/z28NcFYAAAAAMBVRUAWAAAAgFMBWWcDZARg0RDqI0BrpjM20xQDAAAAAHA1EZAFAAAAUG1AtrpgGEFYXE3OBGfpkwAAAACAawUBWQAAAAA/s/5WiGAsrjVmn6PfAQAAAAAAAAAA4HpR6QjZqoKxBMRwLaCPAgAAAACudYyQBQAAAFDlCNmKEOjCtaKq0bLOpDYGAAAAAAAAAAAAGlqFAdnKglkEYwEAAAAAAAAAAADAeU6PkCUYi2sVfRMAAAAAAAAAAADXqhqnLAYAAAAAAAAAAAAAOIeALAAAAAAAAAAAAAA0EAKyAAAAAAAAAAAAANBA6iUge2ZzuDw8F+lja9308XIfeTydoDPWOupf0ZFYTZocq/QCq+DHkJ2gUZ4+WpZqrQMX8lRw3lwKrYKfqEvF1nkaS7FVBuAGcEgxQ8Zq2rZsa91wNlHTjLKYNGvdCTnbZmvwkGhV95SCjHjNeileGTX8rHd2/9eCio41Z9dKzVq5UzmXrIJ6lLZ2rAa/mKgcax0AAAAAAABoaIyQrUjBKX385jyNGhqrdKuoevk6tm2RJoU8qA6e3TRg8iJt/aLI2tYwjv1thTa8Ga+Ur6yCahnHuHufjn1rrQL16evtWjp5nAY/OUXDxpjLBIWMma3XD+daFRycz1BSTKTCxozV4NBxCnspWkmZtQjgpkVr8JDZSjxrrZc4nahpoWM1LfGkVVC9gsPRGjZkgmLSykRXv9uuWUPGKnLnlfM4tzda40ePs87TWIxzGL8yUcd/zB9HXE2XcnXwrShNetq43kPGaeTMKG2o6DpfF4qVkxqvyJlGfzWu87DxkXplZ6aqvZRWG4w3+nCI0QdmxWyv4PoX6vjOaM0y2+nJCZq0KF4Hv7E2AU7K3LtTaUf2a8+/rIIbgnF/7UhXmvFvlgyHj4ZzX+3Xwa/yrDUAAAAAAADg+kFAtoz0VZ3kcWc/DZgcr63JZ3TBKq9akT5ePky9ZhxW69CXFZOwSuPvOqq5k2KV/oNVpQH4TjigzH8mKqKjVVCt49oaMkpbv7RWgfpiBkCnbdJel86as3yV3t20VgmvzVR410K9HxWpmDSHb9QLUrR0/BJtOO2tIc9P1eIXhivILUOvzFmixNNWnbooOKSYlzYrp2+E5ga1twqr53Z/qJ65v1CJcZuVZZWZwbq0hK1K8+qv0X087EWfx2nS8kNy6RumV/+6Wu9uXKU1i4fL7+uten3f9RqUrIlMbZo6QwtT3RU4cqIWvzxKI+7O05ay1/m6UKi02BkavzJD7fqHaf7LE/XM75rq4OoovbTdYfRjOebzIhX5dxcFTpyjV2c/oju+2qxJU9cozeFDI2fbEk1be1JeI6dqTdQo/abxIS2cEFn+BwRAFfyeXK2NsUv11F1WwQ3BQ0FzV2njX6cqoJlVZMjasUaROzKtNQAAAAAAAOD68eMEZIvylZdf99GjRfn5KqrngKfvmBRl/vOA9izpYZVUryh1haYtbqYVW97UC8EB8u/dQwMj1it1yzPy/blVyUm2c7IeX2a2V4XN5Sr35q7W49Iq3E/2F06lLiyq4NqY+6v4GIBsJb6yWRm39tfyqDB1bdvUVtq4hbcCx83TlN6FSly0RntLAlVu/nrq5TmKnhuqwI4+8unor0eefVwBxSe1ZXcdv2i/ZBzLomgltQrW4tGd5WYVO8ddASP6yytruzbttQKLZ7drw3YpaGSwvBrZizL2p+pcM389M7q7vJq4SI2aqs3t/gqPWq35v7WCtj9p3gqaOkdroiIU1Nu4fnd1V+DoMA251bjOO1N10ap1fWgq7y6PaMar8/RUX1/jXHwVMHiqZgY1VcZb25Vh1Srn662K2e6iIVOn6hG/9rbr/9TcMAVd3G+UW6OyL+zXhg0n1SVijsJ7e6tN2856ZPJUjb79pGLf2n+dtVMNmCnLnUnhbdS7WNdUtLa04dX/COBiQQWvdalQBReqOdBio87VzEdeWds1cpGbm/FeUxEn28DG2WtTwmyjej3/Yl08X4Prbry3upnvsZdlK+tq/KDMmfOurt3NvlNd/wIAAAAAAMAN5SoGZPN14sO/KLxvJ3nc3k3ev+6kDn2n6u0vS6J8+do62UceM5JUNhld3vap8ug0Tylm1TOfaMO8oeri6aO2v+6mtl7dNHT5vnLPKc3JfZvcmsu9eXO1aFpxoLO8Ih14P1bpEeP0+K+sohJOBGNtc+2ax/9prEb1ss6p06Nalmoc0A+ntHXuo+pgttftnRQ8N0knrOeZys/dW6Rjb05Vr07WfjyNtpmXoGMFRt3tsxQ8fJ62GrUWDDRe02g/j+Wf2J5l28/TCTqRlaQ5IZ1sz7XNCZufqR3R4Zf3Zx5Dr6lGPQKzcJSVoi2fSwEhV4KWVzRVz0f7q01xupIOXLn7Wnq1Lx0sbeKmm4w/3/+7Ll9gm6MWoxRztrPmTA9Sm3LH4gSvYIX3b6rkv/6PMi4Va+9bm3X8/mAN8SsTDDl/Vjll09PW5vWuU25t26tlqfNtKjdzFFvhD7reQhBufv7q6jACz9SytbtxjQsqDZoWZGYqS97y87YKTE06K6BvU2XtT7fPS5mVoYPFnvK72/4DBTtP/eZ33rq4N9XoX1bRtawkXfeucp+cSo4aq5A/XwksF2QmKmr8WHvK8lBj28wyc57a5lidrcTT2UpePkUhRr3hsYeUETdBg8fElQ9+Z21S2JAZ2vK1te7oUq72xhj7GGamDTeeHzpO0+L265zVprb5SF9MVNbX223HFDLaXneWOer5Up7S3pptrE/QsCfHlT9OY3vW7jhNs6VTN+qMNuqMidKWrIbr2Re/2a/XZ1rp3o22C1teet7UCueCLdsGxnW6vKw9ZFWyq27/5Vw6qaSV5r5Lzn+2NuzebPQFx/Tw2Up8sfxrVTiX7tlD2mLub4i5L/sxj48xrpe1uTKl5nn9ZqdxLSMVa3zWaLuZqt48V6NNKu2jxvv3ytJ9tFoFmUp0OG+zvZZuK5O+vJq+p29S9IqZut/sO2b/qixtPwAAAAAAAG44Vy8gW3BY8etOyX9JojK/+FRfH3lHL9ybpPDn3tAxW4Xm8h8wUIr7QB/n2wos+fr4w61qPTRQ3VylE0krtOOWcdr46QF9/dWnSo0fpLzF4VrwYaknleHcvmvnqD5OkB67r6Nsu6jN6N+/zdOoZXka8dePlPnpO1rRJ1MLpk/QpIipOnDffP39nx9p55Ie+udrUxW/u4p9H4lV+OSjCok+oNzsDKON1+vxX7rL1U1qHTBN61dPk9EKej7eTHVsLE/fZ3+eKT9JCyavU4uId/TZP/+mMfcap3L4Da3N6aOVW+1tnbljmnyTZumZDaQLxBUFX2YqR57yubOSEVxe96irsengscr6TbGyErcqycVDTwT4WGU1Z6aHjdxerKBnI+RXs6GxDlzkFxKsrvkp2hC7Rht2eWjIiL5qaW01+fT7nXxcMvTKtCXaksYX7aaCw5u16XMXBfy2ew1HJV+bLhYWSs3c1NhaL8utmbvx/2IVlMlp7/Wr9tLnJ+wBpGbN1UbmKDnbpstswezibGVdD3N5t+iuwPuNe3f3odJBqfOHlHxY6tmts72NsjbpxTmbde6hqYrbuFbvxs/Tc233a9YiK5h2WaGSo5doc4tHtPjVpVrzhK9xPz0or/Op2lMmIpt1YL9yvDqrS1urwMG5XdGK2uWuEUtX691Nq5WweJT8mruoseOPBE5/oFkL0nRP+BxtXDdHU/q4KG3tSs2aH6nXLwzU8nVL9epEX7ll7tQrf3OYa/pCmjYlnFWvicbz/mrs2/jcHdI2U68v2KTjVpX6dUgLp32gxsNmGse5UIufaK9ze+O1IbXqAHDGxkhFfdJez71qtsFabZzZ2Xif8tRTi5dq4whfq5appvvPU/LiSL1ywEWB0822M9ppRg9lvZHoVIaNimTt2qy/2675KiXErzLa3Uff/22N/rK76p/SldLiQU1YOFFDbjce9xlpO66N64zr3qKvgvoYfXRXmQDvhX3as9uhj1bnUoZenxql2GPeem65cZx/NY4zvL3tRz4vbbuSvrzqvpenpNVxSm7WX6/GG/fBxlVaHuGjmxo5/igDAAAAAAAAN6qrF5B1C9AL8fM1oks7ubu5yvXmDhrxh+FSarLSrQkb3QMGKUJblbTPIWqav19Jca4a27+HLeB5W+h6rY8I0N2tm8vV1VW3PTRaYwcUad3Bz+z1K+HMvmsl/6xyzki/dsvT2yWjWa3Rvxu+cDIwe1OIFq2bpH53esi9tdUuR5LlOjROkcEd1Lq5h3xDJ+rZjkXakHrUelJ5Z44dVrr6yL93c9u62caPjQnUbbaV5nJ3t59lE3f7KGB3x8hJ8j61eS5Ozz/kbXs9s6prwGy9+VKoHvCyt7V7x1CNDZU+3n241Ehd3Ni+LzDTNnrKq5V9vTwPtTO/RD+bVyaok65Ni2YrbMw4TX6/qUZHztEjXta2Gjp3MFrTYk9KLsVKendntSOvqtSir0YMdlfa9kP6tv+Q8sd0a5DmRgarizL0+vwZthFQr+zMuDJC6oZxUskrIxX29DgNW56tgJnzNKXbTyDwULBfW97Pk9fv+6rSnwe0u83Ylq6kvQ4B+W9S9JcNDlHFVrfpHpc8JX6YbhUYCjK1Ka6O/fOqclfP3/hKh/fp4HmryFBgrrt0VmAX80cYecbn6Had6jZScx/zsY+cdvFUwIiB8sn4UMlXJmQ25On4LY/o5dH+uqOVu1o2M57f9nd6xK9Q73/kONIyU3uTjWsQ0EMVvSVkZRr3eltf9fQyX99Fjdt214jgMinKz7fXUwvtKaXdmrVXQEhf3aFc5fhEaMXI7vJq5i6v3qP01P3G/g6mX7kmbv6astx6XhNj3y18NMTYt75JV1p9zHFdjrfCF8/RCNtxesjnsSF6uJm090ilCbMN6UreVqg7Bg5RQCv7D2Hc7g9W8O3ZSkzNLZPmt4b7z9iivxyWAp6do/Au5nPc1eauIM0MN9qglrwem2e0uXnNm6qxS1Oj3YcYx2ocQ1pV51iGmbbZOBZb5uYmbvbHzcz3Gxf17Ocvt7QU7XGYm/ni4UNKdvFVr7LZDSpxbtcmbfnGQ0NmRCigrXGcTczjnKj5T3goI3a9kq3+X3Xfy9TxNOPtobvRb83NjYx9dAnVED8CsgAAAAAAAPhR5pAtUl7WZ0rZFq/oD47qbu3TiTPWJtceCpzgqnUf7lfJuIm8fR9oXcdxCuxiFZQoyNWx1GS9vS5BKWaM9YtTsu3mB2P/5nynlxcrKFqTfddEQZ5tBNDaWfN0ov9r+iw7Q7lZH2lV/6Oa9MwKfWy+fGXHVKJ5M7VwTG/s6W0bydrGCqDatVabO6QzVQR9WvcYpMdax+qZp/+iHV9UNWK4IsM1KKCSsHRRvk4c2aetb67Qe194SNsy7W1dkerOFTeupj9Xqa/GXTzkdXd7dTUDBecztOXdj5RVq6BmtjbFHpL6R2jNC93lZo7WTKtLetE8ZR3PU2PjYAu+zK4weObmHaSZr65W3MtDFNA2V8mrl2jks0uU3CABm2uVu9rc7a2uXdrLyyVb72/6QGkOQbvrU6HSNsYrqXF3hfdvb5VVoFWQpoxtr7TVMzRsSpQiX5qgkFn71XWgQ9CqUWeNmN5djbevVMjTkYpcZNQdt0bf960i0HsNanx/DwW4ZCr58OVPTh3cnSm3/v7yM4OvF9KUlib1vP8e6XyeCkqWRp6645Y8nStzAwX08S8zitpdAb/11cWdKVfmmc5KVdJpTz3cs+Jr4NOzu1p+lahZyzcp7XRl93pTtXRMRd3qlzIzTLds7hgcc1dL84ckxvtOubS25hyhX2fo4M5NitmVbRxzru3HV/XPuI9usR7aGOu3GsdjvH5NuRjvWeXTvtds/1lH0lSgzgpoiB9XXMjV8SMpSty4VWnmtT5ltKl9S934PKjgW433oL0lI52LlXogXY37+qtnE6uoSsXKSDOee3t3BZT5BYBXt85qo0xlWHPXVt33fNVzQFMdf2OJot49pJyaX0IAAAAAAAD8hF3FgGyRjm2ep6G9umnArNeVkucu3/vuURtrq52ruvUJUevLqYXtKYV9H+2jywn4vt2n6IgH1SFwpKLfPy79qod8zdF3JT5dIW9zvtPLywprjlUn9l0bbu62cxg0P0bP9/awl/3cQ/1GjdbAI28oxRwAUukxVcKJuWcr5DlQMUnrFXHz3zXdv5s69A1X9IE6pFQtyNTb5ny93R7W9P9O1nfuPdTtztbWxkrU9Fxx3bvJzfzi/qSOVxqMzNWpr6TGzVuUTh3ZxFM9g8MUPnGO4lZHqOuxTZq8ugbz/Tlo2T9M0aM7q2XHUD3Tu1CJq9+o9RydBYfj9Zd/eOu5yCHy+3yzNuw1RwBXxEUt7+pv1FutuKj+8snP0NI/bVKpAYE/ae7yGRCq8PCZevW1eRrtslOz/nh9n7897bX0yPNh8qsmkNOm/xwlvDZTM4c/pIdDpiruz1Pl52K835pRMYubX5jWrJ+n+eG/08P9RmlF7EI91bpQx82fJvwIP4eqlSad1aunQ9piW7ripgrsbn1yns+3BdWS/zxDw8ZMcVhWass39iqOSqUVttiCvkrXnsP2CFbW4UPKuauHulYy6r5xR+N+jzLuz3M7FTlhnEImr1RiZmX3qaWRi3Opa2Vcn20rNX70OI1dtll7v2uhLvd62ua4vnb4KsAM/G3dfHnkckHGdr3/uXld6hbuP3fOHniv6DrVmjmH7RzjOj0dqdd3nJTa+8mnmn9K1Iy3evbzUNaOffb3nwuHtOeAFNjN2VG9ufrWDLb/6pdl/k1qaOJmS1mf+bU9bXHVfc9Ffk/O04qx3jr3v9EKCx2n8SsTdbxUaggAAAAAAADcqK7aV8J521/UIxGnFPh6ivbELdELQwfKv6u3zJn4HLn2HqSxrbdq1+EiK6VwOz0e0MHa+pminxyl//Gcq7/vStSK2aP12EM95Oc4x1yX6bb5U68s0/WAtanqfddS87a6raOUk1dmaJjnnfKT8To/GI+rOKZ617qHxix8U6lf7VBMcJ7+/PvfakFV885WKl875j2q8KzfaWPKR3pz4XSNGNBD3e6qNC+t3dU8V1wT3O7xk49ydfBoJfMBZh3VwWKpp08VgQK3znpkoIcu7kpVDZJYWjw15Pfd5WYLIDRVz+HB8vkmRa9vvzLvn9MuZeit1w6p8YBgBXj314jBTZW8dr19NFcV3LyHaMpwDzOfpY5f96NEa6GRp4LMtK5Z6UpzSBt6PTm3d6WmxeYqcOY8PXWXVVidFt7y69JdXTu2t/W/rJMnpXvvtI3EvMzFUz5mnS4+amPUyTHqXGx2m7xLjVq8lrmoZ5/Oanw4zXYf2NIVN+uiXiW3c5OmtmBlwGT7XKZll3A/e7UqNemuoP7Gvfb3j1SgbKXtz5VfvwfLB8ccuBn3p/ljCHOO19FtMxUzM1JbvrY21sG5XfZ+0HPuUm1cOlPPBfdXV7/bSs0jfS3w+f3jCrhwSAvHj1OYsYycl6Z2z850vu9WwkzVW6/MuVlnrVHSLUP0auwqzZ8YqqDe3eVzq7W9nnj1eUh+pz9S0ufGyrFU7W3irwDj32bOMfqw2YkrGrF76aLtR0Jet3ra1w1V9r1G7rqjb4QWrzMzKAxUu4zNmjTnRvqhDgAAAAAAACpz1QKyx45s1ZlBgRrkY5/f1MYMVpZznwLD2yl61z7lHd6ndR1D5F/ypVr2ZzqQKg16OFCtHUeROp0Wrop911oHPRDkqq3mPq0Smy+PKEXt1MSpdHkNwLWd/Ccs0bwBVc87W7njSosr0sABg3S3wyX79yVSEKOMVg8q6H4pbVO80sqNBCrU3ne2K6eZv4K6WSMHL+XpXAVBy3O5haVGF9ZaqyA9Z877t2G9kr+zypyUsz1eW/J99UywPdrkE2wPesQkZtrWTTmH91eYWvniBeONyMWjdJrUn6RCnfuu/Jvuue/M0fjX0chPBwVp0Zq0PF1tRs9U+P1lfybkpIIUJe2UuvYuM5epo0uZSt6RrZZ9u19XaYvV0V8PNzNHsOYp7XCm3ByPv5mPutwl7T2wr/Qc0TXk0+9BeR1O0Z6MQ0r+vL0CnL0OLXwUNDlUgcrVniN1yAhhyTqWqYt39VCgt8PrW0G5a0ex9sbFKeM/ZyohdqlWLFyqN/66VDP7XAka1tYd3ubPCTJ0sOwvY8q951lBzC+zSwUxC06dKB18/DZTGd9Iv+nb1/aDhBIXnf53m5Na9FVQn0Il7UnXwQOH5NKns3ycHuXrLp/7jLb7PFVpZT4zsg7sN/411F4+v7IKHFXZ98wMCkGa+bT5Q5UMpVUwWhwAAAAAAAA3lob96vwH6d/WwyZu7aTjR5VmzcGWl5GgOZPnaat9tRTfgBD5RidowbYE+Y8OvJJS2EoPnPaPz+zBzx9ylRI9Ss8sN1ecU+m+ba7Mf/pdoRl4vHh5vagkeJy9VeGdfNRlbvLlAOwDQ1/WYx++qGkJmeaYWOO4TuntZYuVMugZhdQ54OusIn28fJSmbzbapuRYs5L13jZXDbr3Dvv6za1kzsh34B/24FJRlbHVxmpiHPuJfxzWGdv+8nVs8yxNmrfPtrWsC7VMD4ufAncFjA6WT/4hRb60Rge/tqdvvPhdhhKXz9bS3U0VNPHxy1+O52xfopHjZ+v11JO6aPabS8XK2R2tpdsL1XKAv5wZUFcdr6AhCmqSqb9s3O98kKggRRs2ZMvriWD1LImouflryBMeynpnkz24a9ZZvkaTJ0Rpw+5M5djmy8zV8Z3Rinwnr96O/1p28fB6hY2foahtGTpnC6oU69znm7Q09qQa3++vXtfNyE87MxgbMf+QbhoQpikPNr0yB6q5mEF2w8UjazRyyFiFvW0F5i9lG317iRI/t38KXDy9XzEvxWmvd7DCe5cE8gqVFhulmNRsez+33Q8rtaGws6ZYAf/rRiNf9erbVMl/i1bSAXcFBzgev6cCh3eX2+44vRi7//K8meb9n7T3yg8ZqtX2d3rE76S2xKQow+xHLazyssy2nz/7SrsaCj5J1R41lZ+3NW1AHdhGiJ7+Qhln7SdSkJmoqHmJOm5bK+3i/7MeOCg5JnOu3eQlYzU4NFKJ9T5qvFAXz0vff/sv5RSax1ms4kKjrB4+hxt3M67DLYXasnKlks05Uo33Z/P+nrX8kFWjhLvu6Gi09+cfaEuqc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torch\nimport huggingface_hub","metadata":{"id":"kpXQGhHlij6q","execution":{"iopub.status.busy":"2024-06-16T05:13:54.349249Z","iopub.execute_input":"2024-06-16T05:13:54.350334Z","iopub.status.idle":"2024-06-16T05:13:54.354432Z","shell.execute_reply.started":"2024-06-16T05:13:54.350292Z","shell.execute_reply":"2024-06-16T05:13:54.353347Z"},"trusted":true},"execution_count":11,"outputs":[]},{"cell_type":"code","source":"import os\nfrom huggingface_hub import hf_hub_download\n\n# Function to read the token from a file\ndef read_token(file_path):\n    try:\n        with open(file_path, 'r') as file:\n            return file.readline().strip()\n    except FileNotFoundError:\n        raise ValueError(f\"Token file not found: {file_path}\")\n\n# Define the model name and file\nmodel_name = \"cjpais/llava-1.6-mistral-7b-gguf\"\nmodel_file = \"llava-v1.6-mistral-7b.Q3_K_XS.gguf\"\n\n\n# Download the model from Hugging Face Hub\nmodel_path = hf_hub_download(\n    model_name,\n    filename=model_file,\n    local_dir='models/',  # Download the model to the \"models\" folder\n    token=\"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\"  #Replace this token from huggingface with your own token (Setting -> Access Toekns -> New token -> Generate Token)\n)\n\nprint(\"My model path:\", model_path)","metadata":{"id":"WsYot3Rz1NVf","colab":{"base_uri":"https://localhost:8080/","height":170,"referenced_widgets":["9a8e63bcf81541379cfa10184fb656ff","2a3dcc543ea84c1f8fa1a3902cd7442f","31c5f1234db244d2bf4ddbd36884003c","f2ee5364bc5347a09cb556756a88ae10","dd46312299574ec899d3c1821eb77b35","2ccfe8d7d7064479b8ddfdf747a75068","dfc637936fbf4b929c17743184986dcb","5ef81223350f446a865e7ab106441066","d52e608d8a66417593c1609f09867884","e5295fcf7761407f9a59244a20054090","ff65df4363a0462495d5b6b8f3e7fb28"]},"outputId":"c399ee84-3ab9-4b22-de63-80b6e3d392f6","execution":{"iopub.status.busy":"2024-06-16T05:13:59.542820Z","iopub.execute_input":"2024-06-16T05:13:59.543207Z","iopub.status.idle":"2024-06-16T05:14:37.974942Z","shell.execute_reply.started":"2024-06-16T05:13:59.543176Z","shell.execute_reply":"2024-06-16T05:14:37.973117Z"},"trusted":true},"execution_count":12,"outputs":[{"name":"stderr","text":"/opt/conda/lib/python3.10/site-packages/requests/__init__.py:109: RequestsDependencyWarning: urllib3 (2.1.0) or chardet (None)/charset_normalizer (2.1.1) doesn't match a supported version!\n  warnings.warn(\n","output_type":"stream"},{"output_type":"display_data","data":{"text/plain":"llava-v1.6-mistral-7b.Q3_K_XS.gguf:   0%|          | 0.00/2.99G [00:00<?, ?B/s]","application/vnd.jupyter.widget-view+json":{"version_major":2,"version_minor":0,"model_id":"504e4c826cd241ea9a37ddef94ed7ff5"}},"metadata":{}},{"name":"stdout","text":"My model path: models/llava-v1.6-mistral-7b.Q3_K_XS.gguf\n","output_type":"stream"}]},{"cell_type":"code","source":"from llama_cpp import Llama\n\n# model_path is location of to the GGUF model that you've download from HuggingFace on Colab\nmodel_path = \"/kaggle/working/models/llava-v1.6-mistral-7b.Q3_K_XS.gguf\"\n\n#load the LLM\nllm = Llama(model_path=model_path,\n            n_gpu_layers=-1) #load model while enabling GPU","metadata":{"id":"w2Y9Vn_nbFDM","colab":{"base_uri":"https://localhost:8080/"},"outputId":"5b21845c-747b-481e-d247-c2b9b693d673","execution":{"iopub.status.busy":"2024-06-16T05:15:07.626382Z","iopub.execute_input":"2024-06-16T05:15:07.626762Z","iopub.status.idle":"2024-06-16T05:15:08.582070Z","shell.execute_reply.started":"2024-06-16T05:15:07.626733Z","shell.execute_reply":"2024-06-16T05:15:08.581081Z"},"trusted":true},"execution_count":14,"outputs":[{"name":"stderr","text":"llama_model_loader: loaded meta data with 24 key-value pairs and 291 tensors from /kaggle/working/models/llava-v1.6-mistral-7b.Q3_K_XS.gguf (version unknown)\nllama_model_loader: - tensor    0:                token_embd.weight q3_K     [  4096, 32000,     1,     1 ]\nllama_model_loader: - tensor    1:           blk.0.attn_norm.weight f32      [  4096,     1,     1,     1 ]\nllama_model_loader: - tensor    2:            blk.0.ffn_down.weight q4_K     [ 14336,  4096,     1,     1 ]\nllama_model_loader: - tensor    3:            blk.0.ffn_gate.weight q3_K     [  4096, 14336,     1,     1 ]\nllama_model_loader: - tensor    4:              blk.0.ffn_up.weight q3_K     [  4096, 14336,     1,     1 ]\nllama_model_loader: - tensor    5:            blk.0.ffn_norm.weight f32      [  4096,     1,     1,     1 ]\nllama_model_loader: - tensor    6:              blk.0.attn_k.weight q2_K     [  4096,  1024,     1,     1 ]\nllama_model_loader: - tensor    7:         blk.0.attn_output.weight q3_K     [  4096,  4096,     1,     1 ]\nllama_model_loader: - tensor    8:              blk.0.attn_q.weight q3_K     [  4096,  4096,     1,     1 ]\nllama_model_loader: - tensor    9:              blk.0.attn_v.weight q3_K     [  4096,  1024,     1,     1 ]\nllama_model_loader: - tensor   10:           blk.1.attn_norm.weight f32      [  4096,     1,     1,     1 ]\nllama_model_loader: - tensor   11:            blk.1.ffn_down.weight q4_K     [ 14336,  4096,     1,     1 ]\nllama_model_loader: - tensor   12:            blk.1.ffn_gate.weight q3_K     [  4096, 14336,     1,     1 ]\nllama_model_loader: - tensor   13:              blk.1.ffn_up.weight q3_K     [  4096, 14336,     1,     1 ]\nllama_model_loader: - tensor   14:            blk.1.ffn_norm.weight f32      [  4096,     1,     1,     1 ]\nllama_model_loader: - tensor   15:              blk.1.attn_k.weight q2_K     [  4096,  1024,     1,     1 ]\nllama_model_loader: - tensor   16:         blk.1.attn_output.weight q3_K     [  4096,  4096,     1,     1 ]\nllama_model_loader: - tensor   17:              blk.1.attn_q.weight q3_K     [  4096,  4096,     1,     1 ]\nllama_model_loader: - tensor   18:              blk.1.attn_v.weight q3_K     [  4096,  1024,     1,     1 ]\nllama_model_loader: - tensor   19:           blk.10.ffn_gate.weight q3_K     [  4096, 14336,     1,     1 ]\nllama_model_loader: - tensor   20:             blk.10.ffn_up.weight q3_K     [  4096, 14336,     1,     1 ]\nllama_model_loader: - tensor   21:             blk.10.attn_k.weight q2_K     [  4096,  1024,     1,     1 ]\nllama_model_loader: - tensor   22:        blk.10.attn_output.weight q3_K     [  4096,  4096,     1,     1 ]\nllama_model_loader: - tensor   23:             blk.10.attn_q.weight q3_K     [  4096,  4096,     1,     1 ]\nllama_model_loader: - tensor   24:             blk.10.attn_v.weight q3_K     [  4096,  1024,     1,     1 ]\nllama_model_loader: - tensor   25:           blk.2.attn_norm.weight f32      [  4096,     1,     1,     1 ]\nllama_model_loader: - tensor   26:            blk.2.ffn_down.weight q4_K     [ 14336,  4096,     1,     1 ]\nllama_model_loader: - tensor   27:            blk.2.ffn_gate.weight q3_K     [  4096, 14336,     1,     1 ]\nllama_model_loader: - tensor   28:              blk.2.ffn_up.weight q3_K     [  4096, 14336,     1,     1 ]\nllama_model_loader: - tensor   29:            blk.2.ffn_norm.weight f32      [  4096,     1,     1,     1 ]\nllama_model_loader: - tensor   30:              blk.2.attn_k.weight q2_K     [  4096,  1024,     1,     1 ]\nllama_model_loader: - tensor   31:         blk.2.attn_output.weight q3_K     [  4096,  4096,     1,     1 ]\nllama_model_loader: - tensor   32:              blk.2.attn_q.weight q3_K     [  4096,  4096,     1,     1 ]\nllama_model_loader: - tensor   33:              blk.2.attn_v.weight q3_K     [  4096,  1024,     1,     1 ]\nllama_model_loader: - tensor   34:           blk.3.attn_norm.weight f32      [  4096,     1,     1,     1 ]\nllama_model_loader: - tensor   35:            blk.3.ffn_down.weight q4_K     [ 14336,  4096,     1,     1 ]\nllama_model_loader: - tensor   36:            blk.3.ffn_gate.weight q2_K     [  4096, 14336,     1,     1 ]\nllama_model_loader: - tensor   37:              blk.3.ffn_up.weight q2_K     [  4096, 14336,     1,     1 ]\nllama_model_loader: - tensor   38:            blk.3.ffn_norm.weight f32      [  4096,     1,     1,     1 ]\nllama_model_loader: - tensor   39:              blk.3.attn_k.weight q2_K     [  4096,  1024,     1,     1 ]\nllama_model_loader: - tensor   40:         blk.3.attn_output.weight q3_K     [  4096,  4096,     1,     1 ]\nllama_model_loader: - tensor   41:              blk.3.attn_q.weight q3_K     [  4096,  4096,     1,     1 ]\nllama_model_loader: - tensor   42:              blk.3.attn_v.weight q3_K     [  4096,  1024,     1,     1 ]\nllama_model_loader: - tensor   43:           blk.4.attn_norm.weight f32      [  4096,     1,     1,     1 ]\nllama_model_loader: - tensor   44:            blk.4.ffn_down.weight q3_K     [ 14336,  4096,     1,     1 ]\nllama_model_loader: - tensor   45:            blk.4.ffn_gate.weight q2_K     [  4096, 14336,     1,     1 ]\nllama_model_loader: - tensor   46:              blk.4.ffn_up.weight q2_K     [  4096, 14336,     1,     1 ]\nllama_model_loader: - tensor   47:            blk.4.ffn_norm.weight f32      [  4096,     1,     1,     1 ]\nllama_model_loader: - tensor   48:              blk.4.attn_k.weight q2_K     [  4096,  1024,     1,     1 ]\nllama_model_loader: - tensor   49:         blk.4.attn_output.weight q3_K     [  4096,  4096,     1,     1 ]\nllama_model_loader: - tensor   50:              blk.4.attn_q.weight q3_K     [  4096,  4096,     1,     1 ]\nllama_model_loader: - tensor   51:              blk.4.attn_v.weight q3_K     [  4096,  1024,     1,     1 ]\nllama_model_loader: - tensor   52:           blk.5.attn_norm.weight f32      [  4096,     1,     1,     1 ]\nllama_model_loader: - tensor   53:            blk.5.ffn_down.weight q3_K     [ 14336,  4096,     1,     1 ]\nllama_model_loader: - tensor   54:            blk.5.ffn_gate.weight q3_K     [  4096, 14336,     1,     1 ]\nllama_model_loader: - tensor   55:              blk.5.ffn_up.weight q3_K     [  4096, 14336,     1,     1 ]\nllama_model_loader: - tensor   56:            blk.5.ffn_norm.weight f32      [  4096,     1,     1,     1 ]\nllama_model_loader: - tensor   57:              blk.5.attn_k.weight q2_K     [  4096,  1024,     1,     1 ]\nllama_model_loader: - tensor   58:         blk.5.attn_output.weight q3_K     [  4096,  4096,     1,     1 ]\nllama_model_loader: - tensor   59:              blk.5.attn_q.weight q3_K     [  4096,  4096,     1,     1 ]\nllama_model_loader: - tensor   60:              blk.5.attn_v.weight q3_K     [  4096,  1024,     1,     1 ]\nllama_model_loader: - tensor   61:           blk.6.attn_norm.weight f32      [  4096,     1,     1,     1 ]\nllama_model_loader: - tensor   62:            blk.6.ffn_down.weight q3_K     [ 14336,  4096,     1,     1 ]\nllama_model_loader: - tensor   63:            blk.6.ffn_gate.weight q2_K     [  4096, 14336,     1,     1 ]\nllama_model_loader: - tensor   64:              blk.6.ffn_up.weight q2_K     [  4096, 14336,     1,     1 ]\nllama_model_loader: - tensor   65:            blk.6.ffn_norm.weight f32      [  4096,     1,     1,     1 ]\nllama_model_loader: - tensor   66:              blk.6.attn_k.weight q2_K     [  4096,  1024,     1,     1 ]\nllama_model_loader: - tensor   67:         blk.6.attn_output.weight q3_K     [  4096,  4096,     1,     1 ]\nllama_model_loader: - tensor   68:              blk.6.attn_q.weight q3_K     [  4096,  4096,     1,     1 ]\nllama_model_loader: - tensor   69:              blk.6.attn_v.weight q3_K     [  4096,  1024,     1,     1 ]\nllama_model_loader: - tensor   70:           blk.7.attn_norm.weight f32      [  4096,     1,     1,     1 ]\nllama_model_loader: - tensor   71:            blk.7.ffn_down.weight q3_K     [ 14336,  4096,     1,     1 ]\nllama_model_loader: - tensor   72:            blk.7.ffn_gate.weight q2_K     [  4096, 14336,     1,     1 ]\nllama_model_loader: - tensor   73:              blk.7.ffn_up.weight q2_K     [  4096, 14336,     1,     1 ]\nllama_model_loader: - tensor   74:            blk.7.ffn_norm.weight f32      [  4096,     1,     1,     1 ]\nllama_model_loader: - tensor   75:              blk.7.attn_k.weight q2_K     [  4096,  1024,     1,     1 ]\nllama_model_loader: - tensor   76:         blk.7.attn_output.weight q3_K     [  4096,  4096,     1,     1 ]\nllama_model_loader: - tensor   77:              blk.7.attn_q.weight q3_K     [  4096,  4096,     1,     1 ]\nllama_model_loader: - tensor   78:              blk.7.attn_v.weight q3_K     [  4096,  1024,     1,     1 ]\nllama_model_loader: - tensor   79:           blk.8.attn_norm.weight f32      [  4096,     1,     1,     1 ]\nllama_model_loader: - tensor   80:            blk.8.ffn_down.weight q3_K     [ 14336,  4096,     1,     1 ]\nllama_model_loader: - tensor   81:            blk.8.ffn_gate.weight q3_K     [  4096, 14336,     1,     1 ]\nllama_model_loader: - tensor   82:              blk.8.ffn_up.weight q3_K     [  4096, 14336,     1,     1 ]\nllama_model_loader: - tensor   83:            blk.8.ffn_norm.weight f32      [  4096,     1,     1,     1 ]\nllama_model_loader: - tensor   84:              blk.8.attn_k.weight q2_K     [  4096,  1024,     1,     1 ]\nllama_model_loader: - tensor   85:         blk.8.attn_output.weight q3_K     [  4096,  4096,     1,     1 ]\nllama_model_loader: - tensor   86:              blk.8.attn_q.weight q3_K     [  4096,  4096,     1,     1 ]\nllama_model_loader: - tensor   87:              blk.8.attn_v.weight q3_K     [  4096,  1024,     1,     1 ]\nllama_model_loader: - tensor   88:           blk.9.attn_norm.weight f32      [  4096,     1,     1,     1 ]\nllama_model_loader: - tensor   89:            blk.9.ffn_down.weight q3_K     [ 14336,  4096,     1,     1 ]\nllama_model_loader: - tensor   90:            blk.9.ffn_gate.weight q2_K     [  4096, 14336,     1,     1 ]\nllama_model_loader: - tensor   91:              blk.9.ffn_up.weight q2_K     [  4096, 14336,     1,     1 ]\nllama_model_loader: - tensor   92:            blk.9.ffn_norm.weight f32      [  4096,     1,     1,     1 ]\nllama_model_loader: - tensor   93:              blk.9.attn_k.weight q2_K     [  4096,  1024,     1,     1 ]\nllama_model_loader: - tensor   94:         blk.9.attn_output.weight q3_K     [  4096,  4096,     1,     1 ]\nllama_model_loader: - tensor   95:              blk.9.attn_q.weight q3_K     [  4096,  4096,     1,     1 ]\nllama_model_loader: - tensor   96:              blk.9.attn_v.weight q3_K     [  4096,  1024,     1,     1 ]\nllama_model_loader: - tensor   97:          blk.10.attn_norm.weight f32      [  4096,     1,     1,     1 ]\nllama_model_loader: - tensor   98:           blk.10.ffn_down.weight q3_K     [ 14336,  4096,     1,     1 ]\nllama_model_loader: - tensor   99:           blk.10.ffn_norm.weight f32      [  4096,     1,     1,     1 ]\nllama_model_loader: - tensor  100:          blk.11.attn_norm.weight f32      [  4096,     1,     1,     1 ]\nllama_model_loader: - tensor  101:           blk.11.ffn_down.weight q3_K     [ 14336,  4096,     1,     1 ]\nllama_model_loader: - tensor  102:           blk.11.ffn_gate.weight q2_K     [  4096, 14336,     1,     1 ]\nllama_model_loader: - tensor  103:             blk.11.ffn_up.weight q2_K     [  4096, 14336,     1,     1 ]\nllama_model_loader: - tensor  104:           blk.11.ffn_norm.weight f32      [  4096,     1,     1,     1 ]\nllama_model_loader: - tensor  105:             blk.11.attn_k.weight q2_K     [  4096,  1024,     1,     1 ]\nllama_model_loader: - tensor  106:        blk.11.attn_output.weight q3_K     [  4096,  4096,     1,     1 ]\nllama_model_loader: - tensor  107:             blk.11.attn_q.weight q3_K     [  4096,  4096,     1,     1 ]\nllama_model_loader: - tensor  108:             blk.11.attn_v.weight q3_K     [  4096,  1024,     1,     1 ]\nllama_model_loader: - tensor  109:          blk.12.attn_norm.weight f32      [  4096,     1,     1,     1 ]\nllama_model_loader: - tensor  110:           blk.12.ffn_down.weight q3_K     [ 14336,  4096,     1,     1 ]\nllama_model_loader: - tensor  111:           blk.12.ffn_gate.weight q3_K     [  4096, 14336,     1,     1 ]\nllama_model_loader: - tensor  112:             blk.12.ffn_up.weight q3_K     [  4096, 14336,     1,     1 ]\nllama_model_loader: - tensor  113:           blk.12.ffn_norm.weight f32      [  4096,     1,     1,     1 ]\nllama_model_loader: - tensor  114:             blk.12.attn_k.weight q2_K     [  4096,  1024,     1,     1 ]\nllama_model_loader: - tensor  115:        blk.12.attn_output.weight q3_K     [  4096,  4096,     1,     1 ]\nllama_model_loader: - tensor  116:             blk.12.attn_q.weight q3_K     [  4096,  4096,     1,     1 ]\nllama_model_loader: - tensor  117:             blk.12.attn_v.weight q3_K     [  4096,  1024,     1,     1 ]\nllama_model_loader: - tensor  118:          blk.13.attn_norm.weight f32      [  4096,     1,     1,     1 ]\nllama_model_loader: - tensor  119:           blk.13.ffn_down.weight q3_K     [ 14336,  4096,     1,     1 ]\nllama_model_loader: - tensor  120:           blk.13.ffn_gate.weight q2_K     [  4096, 14336,     1,     1 ]\nllama_model_loader: - tensor  121:             blk.13.ffn_up.weight q2_K     [  4096, 14336,     1,     1 ]\nllama_model_loader: - tensor  122:           blk.13.ffn_norm.weight f32      [  4096,     1,     1,     1 ]\nllama_model_loader: - tensor  123:             blk.13.attn_k.weight q2_K     [  4096,  1024,     1,     1 ]\nllama_model_loader: - tensor  124:        blk.13.attn_output.weight q3_K     [  4096,  4096,     1,     1 ]\nllama_model_loader: - tensor  125:             blk.13.attn_q.weight q3_K     [  4096,  4096,     1,     1 ]\nllama_model_loader: - tensor  126:             blk.13.attn_v.weight q3_K     [  4096,  1024,     1,     1 ]\nllama_model_loader: - tensor  127:          blk.14.attn_norm.weight f32      [  4096,     1,     1,     1 ]\nllama_model_loader: - tensor  128:           blk.14.ffn_down.weight q3_K     [ 14336,  4096,     1,     1 ]\nllama_model_loader: - tensor  129:           blk.14.ffn_gate.weight q2_K     [  4096, 14336,     1,     1 ]\nllama_model_loader: - tensor  130:             blk.14.ffn_up.weight q2_K     [  4096, 14336,     1,     1 ]\nllama_model_loader: - tensor  131:           blk.14.ffn_norm.weight f32      [  4096,     1,     1,     1 ]\nllama_model_loader: - tensor  132:             blk.14.attn_k.weight q2_K     [  4096,  1024,     1,     1 ]\nllama_model_loader: - tensor  133:        blk.14.attn_output.weight q3_K     [  4096,  4096,     1,     1 ]\nllama_model_loader: - tensor  134:             blk.14.attn_q.weight q3_K     [  4096,  4096,     1,     1 ]\nllama_model_loader: - tensor  135:             blk.14.attn_v.weight q3_K     [  4096,  1024,     1,     1 ]\nllama_model_loader: - tensor  136:          blk.15.attn_norm.weight f32      [  4096,     1,     1,     1 ]\nllama_model_loader: - tensor  137:           blk.15.ffn_down.weight q3_K     [ 14336,  4096,     1,     1 ]\nllama_model_loader: - tensor  138:           blk.15.ffn_gate.weight q3_K     [  4096, 14336,     1,     1 ]\nllama_model_loader: - tensor  139:             blk.15.ffn_up.weight q3_K     [  4096, 14336,     1,     1 ]\nllama_model_loader: - tensor  140:           blk.15.ffn_norm.weight f32      [  4096,     1,     1,     1 ]\nllama_model_loader: - tensor  141:             blk.15.attn_k.weight q2_K     [  4096,  1024,     1,     1 ]\nllama_model_loader: - tensor  142:        blk.15.attn_output.weight q3_K     [  4096,  4096,     1,     1 ]\nllama_model_loader: - tensor  143:             blk.15.attn_q.weight q3_K     [  4096,  4096,     1,     1 ]\nllama_model_loader: - tensor  144:             blk.15.attn_v.weight q3_K     [  4096,  1024,     1,     1 ]\nllama_model_loader: - tensor  145:          blk.16.attn_norm.weight f32      [  4096,     1,     1,     1 ]\nllama_model_loader: - tensor  146:           blk.16.ffn_down.weight q3_K     [ 14336,  4096,     1,     1 ]\nllama_model_loader: - tensor  147:           blk.16.ffn_gate.weight q2_K     [  4096, 14336,     1,     1 ]\nllama_model_loader: - tensor  148:             blk.16.ffn_up.weight q2_K     [  4096, 14336,     1,     1 ]\nllama_model_loader: - tensor  149:           blk.16.ffn_norm.weight f32      [  4096,     1,     1,     1 ]\nllama_model_loader: - tensor  150:             blk.16.attn_k.weight q2_K     [  4096,  1024,     1,     1 ]\nllama_model_loader: - tensor  151:        blk.16.attn_output.weight q3_K     [  4096,  4096,     1,     1 ]\nllama_model_loader: - tensor  152:             blk.16.attn_q.weight q3_K     [  4096,  4096,     1,     1 ]\nllama_model_loader: - tensor  153:             blk.16.attn_v.weight q3_K     [  4096,  1024,     1,     1 ]\nllama_model_loader: - tensor  154:          blk.17.attn_norm.weight f32      [  4096,     1,     1,     1 ]\nllama_model_loader: - tensor  155:           blk.17.ffn_down.weight q3_K     [ 14336,  4096,     1,     1 ]\nllama_model_loader: - tensor  156:           blk.17.ffn_gate.weight q2_K     [  4096, 14336,     1,     1 ]\nllama_model_loader: - tensor  157:             blk.17.ffn_up.weight q2_K     [  4096, 14336,     1,     1 ]\nllama_model_loader: - tensor  158:           blk.17.ffn_norm.weight f32      [  4096,     1,     1,     1 ]\nllama_model_loader: - tensor  159:             blk.17.attn_k.weight q2_K     [  4096,  1024,     1,     1 ]\nllama_model_loader: - tensor  160:        blk.17.attn_output.weight q3_K     [  4096,  4096,     1,     1 ]\nllama_model_loader: - tensor  161:             blk.17.attn_q.weight q3_K     [  4096,  4096,     1,     1 ]\nllama_model_loader: - tensor  162:             blk.17.attn_v.weight q3_K     [  4096,  1024,     1,     1 ]\nllama_model_loader: - tensor  163:          blk.18.attn_norm.weight f32      [  4096,     1,     1,     1 ]\nllama_model_loader: - tensor  164:           blk.18.ffn_down.weight q3_K     [ 14336,  4096,     1,     1 ]\nllama_model_loader: - tensor  165:           blk.18.ffn_gate.weight q3_K     [  4096, 14336,     1,     1 ]\nllama_model_loader: - tensor  166:             blk.18.ffn_up.weight q3_K     [  4096, 14336,     1,     1 ]\nllama_model_loader: - tensor  167:           blk.18.ffn_norm.weight f32      [  4096,     1,     1,     1 ]\nllama_model_loader: - tensor  168:             blk.18.attn_k.weight q2_K     [  4096,  1024,     1,     1 ]\nllama_model_loader: - tensor  169:        blk.18.attn_output.weight q3_K     [  4096,  4096,     1,     1 ]\nllama_model_loader: - tensor  170:             blk.18.attn_q.weight q3_K     [  4096,  4096,     1,     1 ]\nllama_model_loader: - tensor  171:             blk.18.attn_v.weight q3_K     [  4096,  1024,     1,     1 ]\nllama_model_loader: - tensor  172:          blk.19.attn_norm.weight f32      [  4096,     1,     1,     1 ]\nllama_model_loader: - tensor  173:           blk.19.ffn_down.weight q3_K     [ 14336,  4096,     1,     1 ]\nllama_model_loader: - tensor  174:           blk.19.ffn_gate.weight q2_K     [  4096, 14336,     1,     1 ]\nllama_model_loader: - tensor  175:             blk.19.ffn_up.weight q2_K     [  4096, 14336,     1,     1 ]\nllama_model_loader: - tensor  176:           blk.19.ffn_norm.weight f32      [  4096,     1,     1,     1 ]\nllama_model_loader: - tensor  177:             blk.19.attn_k.weight q2_K     [  4096,  1024,     1,     1 ]\nllama_model_loader: - tensor  178:        blk.19.attn_output.weight q3_K     [  4096,  4096,     1,     1 ]\nllama_model_loader: - tensor  179:             blk.19.attn_q.weight q3_K     [  4096,  4096,     1,     1 ]\nllama_model_loader: - tensor  180:             blk.19.attn_v.weight q3_K     [  4096,  1024,     1,     1 ]\nllama_model_loader: - tensor  181:          blk.20.attn_norm.weight f32      [  4096,     1,     1,     1 ]\nllama_model_loader: - tensor  182:           blk.20.ffn_down.weight q3_K     [ 14336,  4096,     1,     1 ]\nllama_model_loader: - tensor  183:           blk.20.ffn_gate.weight q2_K     [  4096, 14336,     1,     1 ]\nllama_model_loader: - tensor  184:             blk.20.ffn_up.weight q2_K     [  4096, 14336,     1,     1 ]\nllama_model_loader: - tensor  185:           blk.20.ffn_norm.weight f32      [  4096,     1,     1,     1 ]\nllama_model_loader: - tensor  186:             blk.20.attn_k.weight q2_K     [  4096,  1024,     1,     1 ]\nllama_model_loader: - tensor  187:        blk.20.attn_output.weight q3_K     [  4096,  4096,     1,     1 ]\nllama_model_loader: - tensor  188:             blk.20.attn_q.weight q3_K     [  4096,  4096,     1,     1 ]\nllama_model_loader: - tensor  189:             blk.20.attn_v.weight q3_K     [  4096,  1024,     1,     1 ]\nllama_model_loader: - tensor  190:          blk.21.attn_norm.weight f32      [  4096,     1,     1,     1 ]\nllama_model_loader: - tensor  191:           blk.21.ffn_down.weight q3_K     [ 14336,  4096,     1,     1 ]\nllama_model_loader: - tensor  192:           blk.21.ffn_gate.weight q3_K     [  4096, 14336,     1,     1 ]\nllama_model_loader: - tensor  193:             blk.21.ffn_up.weight q3_K     [  4096, 14336,     1,     1 ]\nllama_model_loader: - tensor  194:           blk.21.ffn_norm.weight f32      [  4096,     1,     1,     1 ]\nllama_model_loader: - tensor  195:             blk.21.attn_k.weight q2_K     [  4096,  1024,     1,     1 ]\nllama_model_loader: - tensor  196:        blk.21.attn_output.weight q3_K     [  4096,  4096,     1,     1 ]\nllama_model_loader: - tensor  197:             blk.21.attn_q.weight q3_K     [  4096,  4096,     1,     1 ]\nllama_model_loader: - tensor  198:             blk.21.attn_v.weight q3_K     [  4096,  1024,     1,     1 ]\nllama_model_loader: - tensor  199:             blk.22.attn_k.weight q2_K     [  4096,  1024,     1,     1 ]\nllama_model_loader: - tensor  200:        blk.22.attn_output.weight q3_K     [  4096,  4096,     1,     1 ]\nllama_model_loader: - tensor  201:             blk.22.attn_q.weight q3_K     [  4096,  4096,     1,     1 ]\nllama_model_loader: - tensor  202:             blk.22.attn_v.weight q3_K     [  4096,  1024,     1,     1 ]\nllama_model_loader: - tensor  203:          blk.22.attn_norm.weight f32      [  4096,     1,     1,     1 ]\nllama_model_loader: - tensor  204:           blk.22.ffn_down.weight q3_K     [ 14336,  4096,     1,     1 ]\nllama_model_loader: - tensor  205:           blk.22.ffn_gate.weight q2_K     [  4096, 14336,     1,     1 ]\nllama_model_loader: - tensor  206:             blk.22.ffn_up.weight q2_K     [  4096, 14336,     1,     1 ]\nllama_model_loader: - tensor  207:           blk.22.ffn_norm.weight f32      [  4096,     1,     1,     1 ]\nllama_model_loader: - tensor  208:          blk.23.attn_norm.weight f32      [  4096,     1,     1,     1 ]\nllama_model_loader: - tensor  209:           blk.23.ffn_down.weight q3_K     [ 14336,  4096,     1,     1 ]\nllama_model_loader: - tensor  210:           blk.23.ffn_gate.weight q2_K     [  4096, 14336,     1,     1 ]\nllama_model_loader: - tensor  211:             blk.23.ffn_up.weight q2_K     [  4096, 14336,     1,     1 ]\nllama_model_loader: - tensor  212:           blk.23.ffn_norm.weight f32      [  4096,     1,     1,     1 ]\nllama_model_loader: - tensor  213:             blk.23.attn_k.weight q2_K     [  4096,  1024,     1,     1 ]\nllama_model_loader: - tensor  214:        blk.23.attn_output.weight q3_K     [  4096,  4096,     1,     1 ]\nllama_model_loader: - tensor  215:             blk.23.attn_q.weight q3_K     [  4096,  4096,     1,     1 ]\nllama_model_loader: - tensor  216:             blk.23.attn_v.weight q3_K     [  4096,  1024,     1,     1 ]\nllama_model_loader: - tensor  217:          blk.24.attn_norm.weight f32      [  4096,     1,     1,     1 ]\nllama_model_loader: - tensor  218:           blk.24.ffn_down.weight q3_K     [ 14336,  4096,     1,     1 ]\nllama_model_loader: - tensor  219:           blk.24.ffn_gate.weight q3_K     [  4096, 14336,     1,     1 ]\nllama_model_loader: - tensor  220:             blk.24.ffn_up.weight q3_K     [  4096, 14336,     1,     1 ]\nllama_model_loader: - tensor  221:           blk.24.ffn_norm.weight f32      [  4096,     1,     1,     1 ]\nllama_model_loader: - tensor  222:             blk.24.attn_k.weight q2_K     [  4096,  1024,     1,     1 ]\nllama_model_loader: - tensor  223:        blk.24.attn_output.weight q3_K     [  4096,  4096,     1,     1 ]\nllama_model_loader: - tensor  224:             blk.24.attn_q.weight q3_K     [  4096,  4096,     1,     1 ]\nllama_model_loader: - tensor  225:             blk.24.attn_v.weight q3_K     [  4096,  1024,     1,     1 ]\nllama_model_loader: - tensor  226:          blk.25.attn_norm.weight f32      [  4096,     1,     1,     1 ]\nllama_model_loader: - tensor  227:           blk.25.ffn_down.weight q3_K     [ 14336,  4096,     1,     1 ]\nllama_model_loader: - tensor  228:           blk.25.ffn_gate.weight q2_K     [  4096, 14336,     1,     1 ]\nllama_model_loader: - tensor  229:             blk.25.ffn_up.weight q2_K     [  4096, 14336,     1,     1 ]\nllama_model_loader: - tensor  230:           blk.25.ffn_norm.weight f32      [  4096,     1,     1,     1 ]\nllama_model_loader: - tensor  231:             blk.25.attn_k.weight q2_K     [  4096,  1024,     1,     1 ]\nllama_model_loader: - tensor  232:        blk.25.attn_output.weight q3_K     [  4096,  4096,     1,     1 ]\nllama_model_loader: - tensor  233:             blk.25.attn_q.weight q3_K     [  4096,  4096,     1,     1 ]\nllama_model_loader: - tensor  234:             blk.25.attn_v.weight q3_K     [  4096,  1024,     1,     1 ]\nllama_model_loader: - tensor  235:          blk.26.attn_norm.weight f32      [  4096,     1,     1,     1 ]\nllama_model_loader: - tensor  236:           blk.26.ffn_down.weight q3_K     [ 14336,  4096,     1,     1 ]\nllama_model_loader: - tensor  237:           blk.26.ffn_gate.weight q2_K     [  4096, 14336,     1,     1 ]\nllama_model_loader: - tensor  238:             blk.26.ffn_up.weight q2_K     [  4096, 14336,     1,     1 ]\nllama_model_loader: - tensor  239:           blk.26.ffn_norm.weight f32      [  4096,     1,     1,     1 ]\nllama_model_loader: - tensor  240:             blk.26.attn_k.weight q2_K     [  4096,  1024,     1,     1 ]\nllama_model_loader: - tensor  241:        blk.26.attn_output.weight q3_K     [  4096,  4096,     1,     1 ]\nllama_model_loader: - tensor  242:             blk.26.attn_q.weight q3_K     [  4096,  4096,     1,     1 ]\nllama_model_loader: - tensor  243:             blk.26.attn_v.weight q3_K     [  4096,  1024,     1,     1 ]\nllama_model_loader: - tensor  244:          blk.27.attn_norm.weight f32      [  4096,     1,     1,     1 ]\nllama_model_loader: - tensor  245:           blk.27.ffn_down.weight q3_K     [ 14336,  4096,     1,     1 ]\nllama_model_loader: - tensor  246:           blk.27.ffn_gate.weight q3_K     [  4096, 14336,     1,     1 ]\nllama_model_loader: - tensor  247:             blk.27.ffn_up.weight q3_K     [  4096, 14336,     1,     1 ]\nllama_model_loader: - tensor  248:           blk.27.ffn_norm.weight f32      [  4096,     1,     1,     1 ]\nllama_model_loader: - tensor  249:             blk.27.attn_k.weight q2_K     [  4096,  1024,     1,     1 ]\nllama_model_loader: - tensor  250:        blk.27.attn_output.weight q3_K     [  4096,  4096,     1,     1 ]\nllama_model_loader: - tensor  251:             blk.27.attn_q.weight q3_K     [  4096,  4096,     1,     1 ]\nllama_model_loader: - tensor  252:             blk.27.attn_v.weight q3_K     [  4096,  1024,     1,     1 ]\nllama_model_loader: - tensor  253:          blk.28.attn_norm.weight f32      [  4096,     1,     1,     1 ]\nllama_model_loader: - tensor  254:           blk.28.ffn_down.weight q3_K     [ 14336,  4096,     1,     1 ]\nllama_model_loader: - tensor  255:           blk.28.ffn_gate.weight q3_K     [  4096, 14336,     1,     1 ]\nllama_model_loader: - tensor  256:             blk.28.ffn_up.weight q3_K     [  4096, 14336,     1,     1 ]\nllama_model_loader: - tensor  257:           blk.28.ffn_norm.weight f32      [  4096,     1,     1,     1 ]\nllama_model_loader: - tensor  258:             blk.28.attn_k.weight q2_K     [  4096,  1024,     1,     1 ]\nllama_model_loader: - tensor  259:        blk.28.attn_output.weight q3_K     [  4096,  4096,     1,     1 ]\nllama_model_loader: - tensor  260:             blk.28.attn_q.weight q3_K     [  4096,  4096,     1,     1 ]\nllama_model_loader: - tensor  261:             blk.28.attn_v.weight q3_K     [  4096,  1024,     1,     1 ]\nllama_model_loader: - tensor  262:          blk.29.attn_norm.weight f32      [  4096,     1,     1,     1 ]\nllama_model_loader: - tensor  263:           blk.29.ffn_down.weight q3_K     [ 14336,  4096,     1,     1 ]\nllama_model_loader: - tensor  264:           blk.29.ffn_gate.weight q3_K     [  4096, 14336,     1,     1 ]\nllama_model_loader: - tensor  265:             blk.29.ffn_up.weight q3_K     [  4096, 14336,     1,     1 ]\nllama_model_loader: - tensor  266:           blk.29.ffn_norm.weight f32      [  4096,     1,     1,     1 ]\nllama_model_loader: - tensor  267:             blk.29.attn_k.weight q2_K     [  4096,  1024,     1,     1 ]\nllama_model_loader: - tensor  268:        blk.29.attn_output.weight q3_K     [  4096,  4096,     1,     1 ]\nllama_model_loader: - tensor  269:             blk.29.attn_q.weight q3_K     [  4096,  4096,     1,     1 ]\nllama_model_loader: - tensor  270:             blk.29.attn_v.weight q3_K     [  4096,  1024,     1,     1 ]\nllama_model_loader: - tensor  271:          blk.30.attn_norm.weight f32      [  4096,     1,     1,     1 ]\nllama_model_loader: - tensor  272:           blk.30.ffn_down.weight q3_K     [ 14336,  4096,     1,     1 ]\nllama_model_loader: - tensor  273:           blk.30.ffn_gate.weight q3_K     [  4096, 14336,     1,     1 ]\nllama_model_loader: - tensor  274:             blk.30.ffn_up.weight q3_K     [  4096, 14336,     1,     1 ]\nllama_model_loader: - tensor  275:           blk.30.ffn_norm.weight f32      [  4096,     1,     1,     1 ]\nllama_model_loader: - tensor  276:             blk.30.attn_k.weight q2_K     [  4096,  1024,     1,     1 ]\nllama_model_loader: - tensor  277:        blk.30.attn_output.weight q3_K     [  4096,  4096,     1,     1 ]\nllama_model_loader: - tensor  278:             blk.30.attn_q.weight q3_K     [  4096,  4096,     1,     1 ]\nllama_model_loader: - tensor  279:             blk.30.attn_v.weight q3_K     [  4096,  1024,     1,     1 ]\nllama_model_loader: - tensor  280:          blk.31.attn_norm.weight f32      [  4096,     1,     1,     1 ]\nllama_model_loader: - tensor  281:           blk.31.ffn_down.weight q3_K     [ 14336,  4096,     1,     1 ]\nllama_model_loader: - tensor  282:           blk.31.ffn_gate.weight q3_K     [  4096, 14336,     1,     1 ]\nllama_model_loader: - tensor  283:             blk.31.ffn_up.weight q3_K     [  4096, 14336,     1,     1 ]\nllama_model_loader: - tensor  284:           blk.31.ffn_norm.weight f32      [  4096,     1,     1,     1 ]\nllama_model_loader: - tensor  285:             blk.31.attn_k.weight q2_K     [  4096,  1024,     1,     1 ]\nllama_model_loader: - tensor  286:        blk.31.attn_output.weight q3_K     [  4096,  4096,     1,     1 ]\nllama_model_loader: - tensor  287:             blk.31.attn_q.weight q3_K     [  4096,  4096,     1,     1 ]\nllama_model_loader: - tensor  288:             blk.31.attn_v.weight q3_K     [  4096,  1024,     1,     1 ]\nllama_model_loader: - tensor  289:               output_norm.weight f32      [  4096,     1,     1,     1 ]\nllama_model_loader: - tensor  290:                    output.weight q6_K     [  4096, 32000,     1,     1 ]\nllama_model_loader: - kv   0:                       general.architecture str     \nllama_model_loader: - kv   1:                               general.name str     \nllama_model_loader: - kv   2:                       llama.context_length u32     \nllama_model_loader: - kv   3:                     llama.embedding_length u32     \nllama_model_loader: - kv   4:                          llama.block_count u32     \nllama_model_loader: - kv   5:                  llama.feed_forward_length u32     \nllama_model_loader: - kv   6:                 llama.rope.dimension_count u32     \nllama_model_loader: - kv   7:                 llama.attention.head_count u32     \nllama_model_loader: - kv   8:              llama.attention.head_count_kv u32     \nllama_model_loader: - kv   9:     llama.attention.layer_norm_rms_epsilon f32     \nllama_model_loader: - kv  10:                       llama.rope.freq_base f32     \nllama_model_loader: - kv  11:                          general.file_type u32     \nllama_model_loader: - kv  12:                       tokenizer.ggml.model str     \nllama_model_loader: - kv  13:                      tokenizer.ggml.tokens arr     \nllama_model_loader: - kv  14:                      tokenizer.ggml.scores arr     \nllama_model_loader: - kv  15:                  tokenizer.ggml.token_type arr     \nllama_model_loader: - kv  16:                tokenizer.ggml.bos_token_id u32     \nllama_model_loader: - kv  17:                tokenizer.ggml.eos_token_id u32     \nllama_model_loader: - kv  18:            tokenizer.ggml.unknown_token_id u32     \nllama_model_loader: - kv  19:            tokenizer.ggml.padding_token_id u32     \nllama_model_loader: - kv  20:               tokenizer.ggml.add_bos_token bool    \nllama_model_loader: - kv  21:               tokenizer.ggml.add_eos_token bool    \nllama_model_loader: - kv  22:                    tokenizer.chat_template str     \nllama_model_loader: - kv  23:               general.quantization_version u32     \nllama_model_loader: - type  f32:   65 tensors\nllama_model_loader: - type q2_K:   64 tensors\nllama_model_loader: - type q3_K:  157 tensors\nllama_model_loader: - type q4_K:    4 tensors\nllama_model_loader: - type q6_K:    1 tensors\nllm_load_print_meta: format         = unknown\nllm_load_print_meta: arch           = llama\nllm_load_print_meta: vocab type     = SPM\nllm_load_print_meta: n_vocab        = 32000\nllm_load_print_meta: n_merges       = 0\nllm_load_print_meta: n_ctx_train    = 32768\nllm_load_print_meta: n_ctx          = 512\nllm_load_print_meta: n_embd         = 4096\nllm_load_print_meta: n_head         = 32\nllm_load_print_meta: n_head_kv      = 8\nllm_load_print_meta: n_layer        = 32\nllm_load_print_meta: n_rot          = 128\nllm_load_print_meta: n_gqa          = 4\nllm_load_print_meta: f_norm_eps     = 0.0e+00\nllm_load_print_meta: f_norm_rms_eps = 1.0e-05\nllm_load_print_meta: n_ff           = 14336\nllm_load_print_meta: freq_base      = 10000.0\nllm_load_print_meta: freq_scale     = 1\nllm_load_print_meta: model type     = 7B\nllm_load_print_meta: model ftype    = unknown, may not work\nllm_load_print_meta: model params   = 7.24 B\nllm_load_print_meta: model size     = 2.79 GiB (3.30 BPW) \nllm_load_print_meta: general.name   = 1.6\nllm_load_print_meta: BOS token = 1 '<s>'\nllm_load_print_meta: EOS token = 2 '</s>'\nllm_load_print_meta: UNK token = 0 '<unk>'\nllm_load_print_meta: PAD token = 0 '<unk>'\nllm_load_print_meta: LF token  = 13 '<0x0A>'\nllm_load_tensors: ggml ctx size =    0.09 MB\nllm_load_tensors: using CUDA for GPU acceleration\nllm_load_tensors: mem required  =   53.80 MB (+   64.00 MB per state)\nllm_load_tensors: offloading 32 repeating layers to GPU\nllm_load_tensors: offloading non-repeating layers to GPU\nllm_load_tensors: offloading v cache to GPU\nllm_load_tensors: offloading k cache to GPU\nllm_load_tensors: offloaded 35/35 layers to GPU\nllm_load_tensors: VRAM used: 2863 MB\n................................................................................................\nllama_new_context_with_model: kv self size  =   64.00 MB\nllama_new_context_with_model: compute buffer total size =   73.47 MB\nllama_new_context_with_model: VRAM scratch buffer: 72.00 MB\nAVX = 1 | AVX2 = 1 | AVX512 = 0 | AVX512_VBMI = 0 | AVX512_VNNI = 0 | FMA = 1 | NEON = 0 | ARM_FMA = 0 | F16C = 1 | FP16_VA = 0 | WASM_SIMD = 0 | BLAS = 1 | SSE3 = 1 | SSSE3 = 1 | VSX = 0 | \n","output_type":"stream"}]},{"cell_type":"markdown","source":"Note that BLAS = 1 means GPU is enabled:\n*   AVX = 1 | AVX2 = 1 | AVX512 = 0 | AVX512_VBMI = 0 | AVX512_VNNI = 0 | FMA = 1 | NEON = 0 | ARM_FMA = 0 | F16C = 1 | FP16_VA = 0 | WASM_SIMD = 0 | BLAS = 1 | SSE3 = 1 | SSSE3 = 1 | VSX = 0 |\n\n","metadata":{"id":"RFMXgvWzckbU"}},{"cell_type":"markdown","source":"## Step 4: Ask the LLM a question","metadata":{"id":"U4GldNtm_s-P"}},{"cell_type":"code","source":"user_question = \"What is the earliest civilization in the world?\" # @param {type:\"string\"}","metadata":{"id":"AD7MiXnRl1Kr","execution":{"iopub.status.busy":"2024-06-16T05:15:35.856961Z","iopub.execute_input":"2024-06-16T05:15:35.857859Z","iopub.status.idle":"2024-06-16T05:15:35.861809Z","shell.execute_reply.started":"2024-06-16T05:15:35.857825Z","shell.execute_reply":"2024-06-16T05:15:35.860702Z"},"trusted":true},"execution_count":16,"outputs":[]},{"cell_type":"code","source":"import time\nimport datetime\n\n# Prompt creation\nsystem_message = \"You are a helpful assistant\"\nuser_message = \"Q: \"+ user_question+ \" A: \"\n\n# Start the timer\nstart_time = time.time()\n\nprompt = f\"\"\"<s>[INST] <<SYS>>\n{system_message}\n<</SYS>>\n{user_message} [/INST]\"\"\"\n\n# Run the model\noutput = llm(\n  prompt, # Prompt\n  max_tokens=2000, # Generate up to 2,000 tokens\n  stop=[\"Q:\", \"\\n\"], # Stop generating just before the model would generate a new question\n  #echo=True # Echo the prompt back in the output\n)\n\n# Stop the timer\nend_time = time.time()\nprint(\"current time:\",\n      datetime.datetime.now())\n\n# Get model response\nprint(output[\"choices\"][0][\"text\"])\n\n# Calculate runtime\nruntime = end_time - start_time\nprint(\"response run time is: \", runtime)","metadata":{"id":"kN73qG6-yg33","colab":{"base_uri":"https://localhost:8080/"},"outputId":"6bf76c7c-1b35-462c-98a6-657133ea6ec5","execution":{"iopub.status.busy":"2024-06-16T05:18:48.065035Z","iopub.execute_input":"2024-06-16T05:18:48.065793Z","iopub.status.idle":"2024-06-16T05:18:52.180795Z","shell.execute_reply.started":"2024-06-16T05:18:48.065758Z","shell.execute_reply":"2024-06-16T05:18:52.179927Z"},"trusted":true},"execution_count":22,"outputs":[{"name":"stderr","text":"Llama.generate: prefix-match hit\n","output_type":"stream"},{"name":"stdout","text":"current time: 2024-06-16 05:18:52.177241\n It depends on what you mean by \"earliest.\" If we're talking about the first human societies, then the Sumerians of Mesopotamia are often considered the earliest civilization. However, if we're talking about the oldest known human culture, then it is generally agreed that the San people of southern Africa have the oldest known history and cultural traditions. \nresponse run time is:  4.1080687046051025\n","output_type":"stream"},{"name":"stderr","text":"\nllama_print_timings:        load time =   356.12 ms\nllama_print_timings:      sample time =    73.36 ms /    77 runs   (    0.95 ms per token,  1049.66 tokens per second)\nllama_print_timings: prompt eval time =     0.00 ms /     1 tokens (    0.00 ms per token,      inf tokens per second)\nllama_print_timings:        eval time =  3768.96 ms /    77 runs   (   48.95 ms per token,    20.43 tokens per second)\nllama_print_timings:       total time =  4107.03 ms\n","output_type":"stream"}]}]}